diff --git a/.gitignore b/.gitignore index 092fe7f..cc92ca8 100644 --- a/.gitignore +++ b/.gitignore @@ -1,8 +1 @@ - -example-data-science-notebook/.ipynb_checkpoints/Example Machine Learning Notebook-checkpoint.ipynb - -optimal-road-trip/.ipynb_checkpoints/Computing the optimal road trip across the U.S.-checkpoint.ipynb - -rethinking-population-pyramid/.ipynb_checkpoints/Rethinking the population pyramid-checkpoint.ipynb - -wheres-waldo-path-optimization/.ipynb_checkpoints/Where's Waldo path optimization-checkpoint.ipynb +*/.ipynb_checkpoints/* diff --git a/README.md b/README.md index 7fb2308..27304f7 100644 --- a/README.md +++ b/README.md @@ -1,6 +1,10 @@ -#Randy Olson's data analysis and machine learning projects +![Python 2.7](https://img.shields.io/badge/python-2.7-blue.svg) +![Python 3.5](https://img.shields.io/badge/python-3.5-blue.svg) +![License](https://img.shields.io/badge/license-MIT%20License-blue.svg) -© 2015 Randal S. Olson +# Randy Olson's data analysis and machine learning projects + +© 2016 - current, Randal S. Olson This is a repository of teaching materials, code, and data for my data analysis and machine learning projects. @@ -12,9 +16,9 @@ If you don't have the necessary software installed to run IPython Notebook, don' For example, if you want to view the notebook in the `wheres-waldo-path-optimization` directory, copy the [full link](https://github.com/rhiever/Data-Analysis-and-Machine-Learning-Projects/blob/master/wheres-waldo-path-optimization/Where's%20Waldo%20path%20optimization.ipynb) to the notebook then paste it into [nbviewer](http://nbviewer.ipython.org/github/rhiever/Data-Analysis-and-Machine-Learning-Projects/blob/master/wheres-waldo-path-optimization/Where%27s%20Waldo%20path%20optimization.ipynb). -##License +## License -###Instructional Material +### Instructional Material All instructional material in this repository is made available under the [Creative Commons Attribution license](https://creativecommons.org/licenses/by/4.0/). The following is a human-readable summary of (and not a substitute for) the [full legal text of the CC BY 4.0 license](https://creativecommons.org/licenses/by/4.0/legalcode). @@ -29,7 +33,7 @@ The licensor cannot revoke these freedoms as long as you follow the license term Under the following terms: -* **Attribution**—You must give appropriate credit (mentioning that your work is derived from work that is Copyright (c) Randal S. Olson and, where practical, linking to http://www.randalolson.com/), provide a [link to the license](https://creativecommons.org/licenses/by/4.0/), and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use. +* **Attribution**—You must give appropriate credit (mentioning that your work is derived from work that is © Randal S. Olson and, where practical, linking to http://www.randalolson.com/), provide a [link to the license](https://creativecommons.org/licenses/by/4.0/), and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use. **No additional restrictions**—You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits. @@ -38,7 +42,7 @@ Under the following terms: * You do not have to comply with the license for elements of the material in the public domain or where your use is permitted by an applicable exception or limitation. * No warranties are given. The license may not give you all of the permissions necessary for your intended use. For example, other rights such as publicity, privacy, or moral rights may limit how you use the material. -###Software +### Software Except where otherwise noted, the example programs and other software provided in this repository are made available under the [OSI](http://opensource.org/)-approved [MIT license](http://opensource.org/licenses/mit-license.html). diff --git a/environment.yml b/environment.yml new file mode 100644 index 0000000..9119e5a --- /dev/null +++ b/environment.yml @@ -0,0 +1,16 @@ +channels: + - conda-forge + - defaults +dependencies: + - numpy + - pandas + - scikit-learn + - matplotlib + - seaborn + - watermark + - tqdm + - joblib + - tpot + - pip: + - twitter + - googlemaps diff --git a/example-data-science-notebook/Example Machine Learning Notebook.ipynb b/example-data-science-notebook/Example Machine Learning Notebook.ipynb index aceae27..9cd1b73 100644 --- a/example-data-science-notebook/Example Machine Learning Notebook.ipynb +++ b/example-data-science-notebook/Example Machine Learning Notebook.ipynb @@ -4,17 +4,68 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "#An example machine learning notebook\n", + "# An example machine learning notebook\n", "\n", - "###Notebook by [Randal S. Olson](http://www.randalolson.com/)\n", - "####Supported by [Jason H. Moore](http://www.epistasis.org/)\n", - "####[University of Pennsylvania Institute for Bioinformatics](http://upibi.org/)\n", + "### Notebook by [Randal S. Olson](http://www.randalolson.com/)\n", + "#### Supported by [Jason H. Moore](http://www.epistasis.org/)\n", + "#### [University of Pennsylvania Institute for Bioinformatics](http://upibi.org/)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "**It is recommended to [view this notebook in nbviewer](http://nbviewer.ipython.org/github/rhiever/Data-Analysis-and-Machine-Learning-Projects/blob/master/example-data-science-notebook/Example%20Machine%20Learning%20Notebook.ipynb) for the best viewing experience.**\n", + "\n", + "**You can also [execute the code in this notebook on Binder](https://mybinder.org/v2/gh/rhiever/Data-Analysis-and-Machine-Learning-Projects/master?filepath=example-data-science-notebook%2FExample%20Machine%20Learning%20Notebook.ipynb) - no local installation required.**" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Table of contents\n", + "\n", + "1. [Introduction](#Introduction)\n", + "\n", + "2. [License](#License)\n", + "\n", + "3. [Required libraries](#Required-libraries)\n", + "\n", + "4. [The problem domain](#The-problem-domain)\n", + "\n", + "5. [Step 1: Answering the question](#Step-1:-Answering-the-question)\n", "\n", - "##License\n", + "6. [Step 2: Checking the data](#Step-2:-Checking-the-data)\n", "\n", - "Please see the [repository README file](https://github.com/rhiever/Data-Analysis-and-Machine-Learning-Projects#license) for the licenses and usage terms for the instructional material and code in this notebook. In general, I have licensed this material so that it is as widely usable and shareable as possible.\n", + "7. [Step 3: Tidying the data](#Step-3:-Tidying-the-data)\n", "\n", - "##Introduction\n", + " - [Bonus: Testing our data](#Bonus:-Testing-our-data)\n", + "\n", + "8. [Step 4: Exploratory analysis](#Step-4:-Exploratory-analysis)\n", + "\n", + "9. [Step 5: Classification](#Step-5:-Classification)\n", + "\n", + " - [Cross-validation](#Cross-validation)\n", + "\n", + " - [Parameter tuning](#Parameter-tuning)\n", + "\n", + "10. [Step 6: Reproducibility](#Step-6:-Reproducibility)\n", + "\n", + "11. [Conclusions](#Conclusions)\n", + "\n", + "12. [Further reading](#Further-reading)\n", + "\n", + "13. [Acknowledgements](#Acknowledgements)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Introduction\n", + "\n", + "[[ go back to the top ]](#Table-of-contents)\n", "\n", "In the time it took you to read this sentence, terabytes of data have been collectively generated across the world — more data than any of us could ever hope to process, much less make sense of, on the machines we're using to read this notebook.\n", "\n", @@ -26,9 +77,27 @@ "\n", "I will be following along with the data analysis checklist from [The Elements of Data Analytic Style](https://leanpub.com/datastyle), which I strongly recommend reading as a free and quick guidebook to performing outstanding data analysis.\n", "\n", - "**This notebook is intended to be a public resource. As such, if you see any glaring inaccuracies or if a critical topic is missing, please feel free to point it out or (preferably) submit a pull request to improve the notebook.**\n", + "**This notebook is intended to be a public resource. As such, if you see any glaring inaccuracies or if a critical topic is missing, please feel free to point it out or (preferably) submit a pull request to improve the notebook.**" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## License\n", "\n", - "##Required libraries\n", + "[[ go back to the top ]](#Table-of-contents)\n", + "\n", + "Please see the [repository README file](https://github.com/rhiever/Data-Analysis-and-Machine-Learning-Projects#license) for the licenses and usage terms for the instructional material and code in this notebook. In general, I have licensed this material so that it is as widely usable and shareable as possible." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Required libraries\n", + "\n", + "[[ go back to the top ]](#Table-of-contents)\n", "\n", "If you don't have Python on your computer, you can use the [Anaconda Python distribution](http://continuum.io/downloads) to install most of the Python packages you need. Anaconda provides a simple double-click installer for your convenience.\n", "\n", @@ -39,10 +108,13 @@ "* **scikit-learn**: The essential Machine Learning package in Python.\n", "* **matplotlib**: Basic plotting library in Python; most other Python plotting libraries are built on top of it.\n", "* **Seaborn**: Advanced statistical plotting library.\n", + "* **watermark**: A Jupyter Notebook extension for printing timestamps, version numbers, and hardware information.\n", "\n", "To make sure you have all of the packages you need, install them with `conda`:\n", "\n", " conda install numpy pandas scikit-learn matplotlib seaborn\n", + " \n", + " conda install -c conda-forge watermark\n", "\n", "`conda` may ask you to update some of them if you don't have the most recent version. Allow it to do so.\n", "\n", @@ -53,33 +125,42 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "##The problem domain\n", + "## The problem domain\n", + "\n", + "[[ go back to the top ]](#Table-of-contents)\n", "\n", "For the purposes of this exercise, let's pretend we're working for a startup that just got funded to create a smartphone app that automatically identifies species of flowers from pictures taken on the smartphone. We're working with a moderately-sized team of data scientists and will be building part of the data analysis pipeline for this app.\n", "\n", - "We've been tasked by our head of data science to create a demo machine learning model that takes four measurements from the flowers (sepal length, sepal width, petal length, and petal width) and identifies the species based on those measurements alone.\n", + "We've been tasked by our company's Head of Data Science to create a demo machine learning model that takes four measurements from the flowers (sepal length, sepal width, petal length, and petal width) and identifies the species based on those measurements alone.\n", "\n", "\n", "\n", - "We've been given a [data set](iris-data.csv) from our field researchers to develop the demo, which only includes measurements for three types of *Iris* flowers:\n", + "We've been given a [data set](https://github.com/rhiever/Data-Analysis-and-Machine-Learning-Projects/raw/master/example-data-science-notebook/iris-data.csv) from our field researchers to develop the demo, which only includes measurements for three types of *Iris* flowers:\n", "\n", - "###*Iris setosa*\n", + "### *Iris setosa*\n", "\n", "\n", "\n", - "###*Iris versicolor*\n", + "### *Iris versicolor*\n", "\n", "\n", - "###*Iris virginica*\n", + "### *Iris virginica*\n", "\n", "\n", "The four measurements we're using currently come from hand-measurements by the field researchers, but they will be automatically measured by an image processing model in the future.\n", "\n", - "**Note:** The data set we're working with is the famous [*Iris* data set](https://archive.ics.uci.edu/ml/datasets/Iris) — included with this notebook — which I have modified slightly for demonstration purposes.\n", + "**Note:** The data set we're working with is the famous [*Iris* data set](https://archive.ics.uci.edu/ml/datasets/Iris) — included with this notebook — which I have modified slightly for demonstration purposes." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Step 1: Answering the question\n", "\n", - "##Step 1: Answering the question\n", + "[[ go back to the top ]](#Table-of-contents)\n", "\n", - "The first step to any data analysis project is to define the question or problem you're looking to solve, and to define a measure (or set of measures) for your success at solving that task. The data analysis checklist has us answer a handful of questions to accomplish that, so let's work through those questions.\n", + "The first step to any data analysis project is to define the question or problem we're looking to solve, and to define a measure (or set of measures) for our success at solving that task. The data analysis checklist has us answer a handful of questions to accomplish that, so let's work through those questions.\n", "\n", ">Did you specify the type of data analytic question (e.g. exploration, association causality) before touching the data?\n", "\n", @@ -87,7 +168,7 @@ "\n", ">Did you define the metric for success before beginning?\n", "\n", - "Let's do that now. Since we're performing classification, we can use [accuracy](https://en.wikipedia.org/wiki/Accuracy_and_precision) — the fraction of correctly classified flowers — to quantify how well our model is performing. Our head of data has told us that we should achieve at least 90% accuracy.\n", + "Let's do that now. Since we're performing classification, we can use [accuracy](https://en.wikipedia.org/wiki/Accuracy_and_precision) — the fraction of correctly classified flowers — to quantify how well our model is performing. Our company's Head of Data has told us that we should achieve at least 90% accuracy.\n", "\n", ">Did you understand the context for the question and the scientific or business application?\n", "\n", @@ -95,7 +176,7 @@ "\n", ">Did you record the experimental design?\n", "\n", - "Our head of data has told us that the field researchers are hand-measuring 50 randomly-sampled flowers of each species using a standardized methodology. The field researchers take pictures of each flower they sample from pre-defined angles so the measurements and species can be confirmed by the other field researchers at a later point. At the end of each day, the data is compiled and stored on a private company GitHub repository.\n", + "Our company's Head of Data has told us that the field researchers are hand-measuring 50 randomly-sampled flowers of each species using a standardized methodology. The field researchers take pictures of each flower they sample from pre-defined angles so the measurements and species can be confirmed by the other field researchers at a later point. At the end of each day, the data is compiled and stored on a private company GitHub repository.\n", "\n", ">Did you consider whether the question could be answered with the available data?\n", "\n", @@ -105,16 +186,18 @@ "\n", "Notice that we've spent a fair amount of time working on the problem without writing a line of code or even looking at the data.\n", "\n", - "**Thinking about and documenting the problem you're working on is an important step to performing effective data analysis that often goes overlooked.** Don't skip it." + "**Thinking about and documenting the problem we're working on is an important step to performing effective data analysis that often goes overlooked.** Don't skip it." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "##Step 2: Checking the data\n", + "## Step 2: Checking the data\n", "\n", - "The next step is to look at the data you're working with. Even curated data sets from the government can have errors in them, and it's vital that we spot these errors before investing too much time in our analysis.\n", + "[[ go back to the top ]](#Table-of-contents)\n", + "\n", + "The next step is to look at the data we're working with. Even curated data sets from the government can have errors in them, and it's vital that we spot these errors before investing too much time in our analysis.\n", "\n", "Generally, we're looking to answer the following questions:\n", "\n", @@ -128,14 +211,25 @@ { "cell_type": "code", "execution_count": 1, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { "text/html": [ "
\n", + "\n", "\n", " \n", " \n", @@ -238,9 +332,7 @@ { "cell_type": "code", "execution_count": 2, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [], "source": [ "iris_data = pd.read_csv('iris-data.csv', na_values=['NA'])" @@ -265,14 +357,25 @@ { "cell_type": "code", "execution_count": 3, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { "text/html": [ "
\n", + "\n", "
\n", " \n", " \n", @@ -379,9 +482,7 @@ { "cell_type": "code", "execution_count": 4, - "metadata": { - "collapsed": true - }, + "metadata": {}, "outputs": [], "source": [ "# This line tells the notebook to show plots inside of the notebook\n", @@ -403,14 +504,12 @@ { "cell_type": "code", "execution_count": 5, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "" + "''" ] }, "execution_count": 5, @@ -419,9 +518,9 @@ }, { "data": { - "image/png": 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wa9YseDzesbsSCZc8IcpE8ayNH/wDq8/xV7gvtkOu8q4+557sAt5SAFbv/j6KZROFoMV7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\nNNT45vxR7rB4aJzo+w/A0VLis9nacAzLyW2n5tQeC7pPCNG9FO4oVQY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CAAAg\nAElEQVRXBf1XcqIWm82GzWajpraMyurjQf/V1JZhs9m6+uWIbiJSn9MVOtI3RTpH+rveo6vadHvb\nmMT1ijOJLI7dS+m0Gn43e7xyWztvXLrPvNxw675HWhPe0dJI5eYPqDHoSBg1HcumLSScm4vp3FzQ\naIKuIS+6l8iJJd3/zzz4N1LjguedqGhqBq6IUQ1FTxOpz+kKbclvEeyc9Pl3Ksn/EmfO8TlHKdMr\nLiYcl9OO5eQ2XE1ty3Mhuo+uatOR2qA/T1yvZ3pYqLhe72u3eWy+km9NiO5EesheTKfVMOXcrJD7\nw637Hmqfo6WR44VPQrKLFqDm79uxflQCDhdxI0ZKkGoPoNfr25xYclxKCgNNwTMNH7PUS8JI4SNS\nn9MV2pLfwpvTZlWC8y1AY1lF0H7NsnWz+5hNG2jwWtzEm8tpp/zAm7Q0HKUaMCRsJW3YXBm89CBd\n0abb2ga9aeMTwuaq87921xXuJTNvkQxeRLcjvaOIqsrNH0CyS3msTjegGWXCsbM+ILmb6J6sVis1\ntWUh93umgLV1UGKz2ShtbAy5v7Sxkax2lNdWVquVoqKjYY/Jzh6EXi8DadF2oYLvvfu1thwDYDm5\njZaG1jba0nAUy8ltknxPhNXW9tUe/tdukl1Ubv4gaOJoIbqSDFyEEAGiPQVspXowBk3foPta1DWc\n394KtkFR0VE2r/kDGQMSg+4vOVELU+9j6NDhQfcLIYQQonuRgYuIqn65P1NuNwM4S1tw7LEAEqTa\nU+j1+qhOAdPpdGSMnIQpxNQzi9fUs2jLGJDIoKzkmJQteqfEvDwsm1qXRA7Wr7XlGABTygQaq3cq\nd10MCYMwpUyI8SsQPV1b21d7+F+7qVLRL+9np1tVIaJOBi4iqjSGeDLzFlG5+QMMBh0Jl07HErcF\naFvgqxCReE8Bq642UVVlCTgmO3tQZ1dL9BLeAf1msxH1+NyAfq2tQf8qtZa0YXOxnNyGySTB+aJt\n2tIG28v/2m3Ok+B80T1JDymiTmOIp//Fc0lNNVNRUS8xLSKqvKeAlQTZ75kCJkSseAL6PX1cuGMi\nUam1mFNzw5YlhL+2tMH28r92C9EdycBFCNHjyBQwIYQQovfp9IGLzWbjvvvuo6SkBKvVyq9//Wum\nTm39VWrNmjW8+OKLaLVarrvuOmbOnNnZVRSnOG3WduU3EKIz2Gw2912VEEpO1JI63Kb8vy3HCeEh\n/Z7oCTzt1B6lqWJC9BSdPnD5+OOPSU5O5vHHH6e2tpZrrrlGGbjYbDYeffRR3n//fYxGI3PmzGHq\n1KmkpKR0djV7PafNyvGnnlSC/yybNkgOFtFtPPrXKnRGa9B9tmYLb59KkPlM4T4MZkPQ41rqW/h/\nl8SqhqInkn5P9ATe7bQCiBvxrbRT0Wt0+sDliiuuYPr06QA4nU40mtYsswcPHmTgwIGYze7VjM47\n7zw2bdrEFVdI9u3OFot14oWIBp1Ox/ALr2/TKmXDfjIGc0bwZZjrS2okQabwIf2e6AmknYrerNMH\nLvHx7lUqLBYLCxcu5K677lL2WSwWZdACkJCQQH19+ACxpKR4tFpN2GPCSU0NvuRrLHXFc7b3ee1m\nIxV+28xmY7vr3hNea2eKRb3aUqbVaqWgoCDicfPmzaO6OvJzJiebADjcxuPaWl40j7NarTSECTBt\nqKjHZNIHff+66u/UnUSzvtEqK9Z16ki/dya/Tz2pzfaUz2w0yozW9Tmc7vraO6NM0b11SXB+aWkp\n8+fPZ+7cucyYMUPZbjabaWhoUB43NDSQmBg8eZxHdXXojNyRdMXKGV21Wkd7n1c9Ppe4Ed/6rBOv\nHp/brjJ6ymv1PzeWov1+tPW1Hjy4n41P/IlkQ/BpUwBVLS2MGXNOmwYHwZYg7m7H2Ww2ajbn0GIO\nHsTfVF9F9ZUNAe9fLNptrMqMpWjVN1qvPZrvYaiy2tvvdUadeno5nrJirad8ZqNRZjSuz+F059fe\nGWWK7q3TBy6VlZXccsstPPjgg1x44YU++4YMGcLRo0epra0lLi6OTZs2ceutt3Z2FQVtz0Mgeo7J\nGZkhk0qCO7HkmUSn05GSNbpLEl+Knkn6PdETxCKPixA9RacPXFasWEF9fT0vvPACL7zwAgCzZs2i\nqamJWbNmsWTJEm699VacTifXX389aWlpnV1FcUpb8xAIIcSZQvo90RPEIo+LED1Bpw9cli1bxrJl\ny0LunzJlClOmTOnEGgkhhBBCCCG6O3VXV0AIIYQQQgghIpGBixBCCCGEED3UkiVL2L59e1dXo1PI\nwEUIIYQQQogeSqVSdXUVOk2XLIcshBBCCCGEaD+LxcLdd99NdXU1Op2OuLg4AIqLi1m+fLk7j1lD\nA08//TTNzc0sXboUtVrNwIEDefTRR3nttdf44osvsNvt/OIXv+Dyyy/v4lfUdjJwEaKHK/zuK2pr\nTobcn5U9BJM5qRNrJIQQQohYefvtt8nNzeXWW2+lsLBQWfTqyJEjLFy4kDFjxvDSSy+xbt06XC4X\nU6dO5Ze//CWffPIJjY2NfPbZZ/zpT3+iT58+/OMf/+jiV9M+MnARoocrPVLIxLM1Ifdv2VvCuNyf\ndmKNhBBCCBErxcXF5OfnA5CXl8dFF10EQL9+/Xj55ZfR6/WUlZUxefJkZs2axcqVK/mP//gPBg8e\nzLRp03jooYd4+umnqaio4Gc/+1lXvpR2kxgXIYQQQggheoicnBx27twJwBdffMF3330HwHPPPcct\nt9zC//zP/5Ceno7T6WTNmjVcdNFFvPbaa2i1WtavX8/777/P73//e15++WX+/Oc/d+VLaTe54yJE\nD7dp805qT8aH3F9SaZA7LkIIIcQZYvbs2dxzzz1888036PV6xo4dC8Dll1/OokWLGDhwIIMGDaKy\nspLLLruMe++9F6PRiMlkIjc3l+PHj/Pzn/+cuLg4brjhhi5+Ne0jAxcherix6nTO2V4Tcv/OYVmd\nWBshhBBCxFJcXBzPPvtswPbx48fz7//+7wHb33nnHZ/Hc+fOZe7cuTGrXyzJwEWIHk6rUaPXhI5x\n0ahD7xNCCCGE6Clk4CKE6NWsVivLlz+gPI6P19PYaPU55oEHlgP4HBfMAw8sR6/XR7+SQgghhJCB\nixCidysqOsrq73ajM5qC7rc1W/jPoqMAbTpu6NDhMaurEEII0ZvJwEUI0esNv/B6TEmZQfdZqo+3\n+zghhBBCRF+XDVy2b9/OE088QUFBgc/21157jffee4+kJHfCvOXLl5OTk9MVVRTijGGz2ShtbAx7\nTGljI1k2WyfVSAghhBCifbpk4PLyyy/zt7/9jYSEhIB9O3fu5I9//CNnnXVWF9RMiDPXSvVgDJq+\nIfe3qGs4vxPrI4QQQgjRHl0ycBk0aBDPP/88//Vf/xWwb+fOnaxYsYLKykomT57ML3/5yy6ooRBn\nFp1OR8bISSGnOYF7qpNOp+vEWgkhhBAinOLiYhYtWsSqVauUbd999x2lpaXMmjUrqs/11VdfMX78\neNLS0qJabjR1ycDl8ssvp7i4OOi+GTNmMHfuXBISEpg/fz7r1q1j8uTJnVtBIXqQ/cePo7bbQ+4v\nLjnOOUBjbXnYcrz3h5tWVtrYSE47jwv33N77zpTjhBBC9E4NTVa+2ngMrUbN9AsHodNGPyXBJZdc\nEvUyAd544w0eeuihbj1wUblcLldXPHGwESSAxWLBZHKv2vPWW29RU1PDb37zm66oohBCCCGEEG1i\nabTywEv/ZH+ROyn0+OH9ePC2i9Bp1R0u8/jx4/zud79Dr9eTkpJCbW0tM2bM4OjRoyxYsIA777yT\nhoYGmpqauOuuu7j44ot9zv/yyy955ZVX0Gq1pKWl8dRTT2GxWFi6dCk1Ne56Llu2jJKSEu6++25y\ncnJ48803KSgo4NNPP0Wr1ZKbm8vixYvZsmULjz32GDqdDqPRyLPPPovL5WLp0qVYLBbKy8v5+c9/\nzpw5czr+JkbQrVYVq6+v5+qrr2b16tXExcWxfv16rr/++q6ulhBCCCGEEGF9vv6oMmgB2L6/ksLt\nx5lyXnZUys/Pz2fatGl88MEHABw7doyamhpeeeUVqqqqOHz4cMA5q1ev5rbbbuPyyy/nww8/xGKx\nsGLFCi666CLmzJnDkSNHuO+++3jrrbcYNWoUy5cv59ChQ3z++eesWrUKjUbDggULWLduHRs3buSq\nq67i5ptv5ptvvqGuro7q6mry8/P5yU9+QllZGTfddNOZO3BRqVQAfPLJJzQ2NjJr1iwWLVrETTfd\nhF6vZ9KkSVx66aVdWUUhhBBCCCEiUqtVAdu0msBtHeW/yu6wYcO44YYbWLRoEXa7nXnz5rFlyxae\nfvppAG677TbuvfdeVq5cSUFBAUOGDGHatGns27ePDRs28OmnnwJQV1enlOlyuTh8+DDjx49Ho3FP\nczvvvPPYv38/v/rVr/jzn//MzTffTP/+/Rk/fjwpKSm8/vrrfPnll5hMJmwxXp20ywYuWVlZvPPO\nO4B7BOmRn5/v81gIIYQQQoju7qqLBrPhh1J2HakCIHd0fyaNzTitMl0uF56oDs8P/h779u2joaGB\nlStXUl5ezpw5c/jmm298Uo0888wzLFiwgOTkZB544AG+/vprhg4dytlnn01+fj5lZWV88sknAKjV\nalwuF0OGDOEvf/kLDocDtVrN5s2bueaaa/jb3/7Gtddeyz333MNLL73EqlWrsFgsTJgwgTlz5rB+\n/Xq+/fbb03q9kXSrqWJCCCGEEEL0REaDluW/msS3W4rQaTVcek4mGk3H41vAPVjx/ue9ffDgwTz/\n/PN89tlnOJ1OFi5cGHD+uHHjuP3220lISCAhIYEpU6YwefJkli5dyqpVq2hoaGDBggUAnHPOOdxz\nzz28+uqrXHnllcyZMwen00lubi7Tpk1jx44dLFu2jLi4ODQaDcuXL6e4uJhHHnmEr7/+mmHDhpGQ\nkIDNZovZKqVdFpwvhBBCCCGEEG11esNAIYQQQgghhOgEMnARQgghhBBCdHsycBFCCCGEEEJ0ezJw\nEUIIIYQQQnR7MnARQgghhBBCdHsycBFCCCGEEEJ0ezJwEUIIIYQQohsqLi5m9uzZPtu+++47/vd/\n/zfqz/XVV19RXl4e9XKjSQYuQgghhBBCREGDtZFP9n7N5/vXYXPYYvIcl1xyCbNmzYp6uW+88QYW\niyXq5UaTtqsrIIQQQgghRE/X0NLII98+y8HqowBsLN7GfZfOR6vp+NdtlUoFwLx580hJSaG2tpYZ\nM2Zw9OhRFixYwJ133klDQwNNTU3cddddXHzxxT7nf/nll7zyyitotVrS0tJ46qmnsFgsLF26lJqa\nGgCWLVtGSUkJe/bsYcmSJbz55psUFBTw6aefotVqyc3NZfHixWzZsoXHHnsMnU6H0Wjk2Wefpby8\nnHvvvRedTofT6eTJJ58kLS2N+++/nxMnTlBRUcHUqVP57W9/2+H3wJsMXIQQQgghhDhNXx/6Thm0\nAPxYvpd/Fm3lksEXRKX8/Px8pk2bxgcffADAsWPHqKmp4ZVXXqGqqorDhw8HnLN69Wpuu+02Lr/8\ncj788EMsFgsrVqzgoosuYs6cORw5coT77ruPt956i1GjRrF8+XIOHTrE559/zqpVq9BoNCxYsIB1\n69axceNGrrrqKm6++Wa++eYb6urq+P7775kwYQKLFy9m8+bN1NfX43A4mDBhAjNnzqSlpYXLLrvs\nzB24OJ1Oli5dypEjR1Cr1Tz88MMMGTKkq6slhBBCCCFESGpVYASGRq2JWvk5OTk+j4cNG8YNN9zA\nokWLsNvtzJs3jy1btvD0008DcNttt3HvvfeycuVKCgoKGDLk/7N33/FRlPkfwD+zfZPd9E1IISGE\npiChCmiQIooKd4cFhUjkFM9ygoh4KoqKnHd66u9UQBRE/Z05T9A7UCzIT4oeWAIBpUkINaTXTdlk\nk23z+2PZyc72JDtbku/79crrlZ2deZ5nZ2af2acPxIwZM1BcXIyCggJ89dVXAIDm5mYuTJZlcf78\neWRnZ0MstqZ97NixOH36NB544AG89dZbWLhwIZKSkpCdnY25c+di48aNuPfee6FWq7Fs2TJER0fj\n2LFjKCgogEqlgsFg8Ns5CLmCy/79+6HX6/HRRx/hhx9+wOuvv441a9YEO1mEEEIIIYS4dd2ga3Cg\n/AhO1Z0FAIxJHoEJaaN6FCbLsmBZFkBntzGb4uJitLa2YsOGDaipqcH8+fOxe/du5Ofnc/u88cYb\nWLJkCeLi4vDss89i165dyMrKwogRIzB79mxUV1fjiy++AACIRCKwLIuBAwfi/fffh9lshkgkQmFh\nIebMmYPt27fjlltuwRNPPIGNGzdiy5YtGDhwIMaNG4fFixfjiy++wDvvvIPLL78cUVFRWL16NUpK\nSvw6kUDIFVwUCgVaWlrAsixaWloglUqDnSRCCCGEEEI8UkjkeGbKw9hXchBSsQRXp4/rcYsLwzC8\nP/vtAwYMwLp167Bjxw5YLBYsXbrU6fiRI0fi/vvvR2RkJCIjIzFt2jRMnToVTz/9NLZs2YLW1lYs\nWbIEADB69Gg88cQTePfdd3HjjTdi/vz5sFgsGDduHGbMmIGjR49i5cqVUCqVEIvFWL16NSwWC554\n4gm89dZbsFgseOqppyCVSrF8+XKcOHECKSkpGDFiBGpqapCYmNijcwEADGsrxoUIk8mEu+++GzU1\nNWhsbMTbb7+N0aNHBztZhBBCCCGEkCAKuemQN23ahDFjxmDnzp347LPP8OSTT3rsG2cymQOYOkK6\nL8TqCAhxi+5VEk7ofiWk7wi5rmJ6vR6RkZEAgKioKBiNRlgsFrf7a7Vt3Y5Lo1Gjtral28eHS5zB\nijccP6tGo/ZzajoxDOP38yHEOQ6XMIUKN5zCFIo/71V/fXZ/nkNKU+DCsYUlJMpbKUx/hklCW8gV\nXBYtWoQVK1YgNzcXJpMJy5cvh0KhCHayCCGEEEIIIUEUcgWXqKgovPnmm8FOBiGEEEIIISSEhNwY\nF0IIIYQQQghxRAUXQgghhBBCSMijggshhBBCCCEhqKysDHfccQdv2759+/y6qKOvNm7ciKNHj3bp\nmLy8PJw7d85vaQi5MS6EEEIIIYSEI2NrK2p27QEjkaDf9TMgEmAh9cmTJ/s9TF/cd9993TrOfuHM\nnqKCCyGEEEIIIT1k1Onw63N/hu7MGQBAw08FuPzZp3tUeLH96M/Ly0N8fDyampowa9YslJSUYMmS\nJXj44YfR2toKvV6PZcuW4eqrr+5Mj9GIWbNmYfv27VAoFHj33XchFosxc+ZMPPvss2hvb4dCocCf\n//xnmEwmPPjgg4iJicGUKVOgVCrx2WefQSQSYcSIEVi5ciWefPJJzJo1C+PHj8eKFStQWVkJg8GA\nZ599FsOHD8eKFStQVlYGi8WC3//+97jpppu4tDQ3N+NPf/oTWltbYTKZ8Mgjj2DixImYPXs2MjMz\nIZVK8fe//93r+aCCCyGEEEIIIT1U/X+7uEILADQdPYa6739A4tQpfgl/9uzZmDFjBrZt2wYAuHjx\nIhobG7Fp0yY0NDTg/PnzvP2lUimuv/56fP3115gzZw6+/PJLvPfee1i1ahXy8vJwzTXX4Mcff8Sr\nr76KZcuWoa6uDtu2bYNEIsFtt92GVatWYcSIEfjoo49gNpu5QtTmzZvRv39/vPbaaygpKcG3336L\nEydOICEhAa+++ipaW1txyy23YNKkSQCsi8S+9dZbyMnJQV5eHqqrq5Gbm4vdu3ejra0NDz30EIYN\nG+bTOaCCCyGEEEIIIT3loksUI/HfT+3MzEze60GDBmHevHlYvnw5TCYT8vLycOjQIbz++usAgHvv\nvRdz587FqlWrMHDgQGRmZiImJgbFxcXYsGED3nnnHQDWAg4ApKWlQXIpvS+++CLee+89lJWVYdSo\nUWBZlov3/PnzuOaaawAAGRkZWLhwIVavXo2rrroKABAZGYmsrCyUlpZyx5w7dw6/+93vAABJSUlQ\nqVSor693+bk8oYILIYQQQgghPZR840w0FBxAy8kiAEDsuDFImDSxR2GyLMsVGhzHihQXF6O1tRUb\nNmxATU0N5s+fj927dyM/P98pjHfffRe5ubkAgKysLNxzzz0YPXo0iouLceTIEQCASNQ5Z9fHH3+M\n559/HjKZDIsWLcLPP//MvZeVlYVjx47h2muvRWlpKdasWYNRo0ahsLAQM2bMgE6nQ3FxMdLS0rhj\nBg4ciIMHD2LYsGGorq5GS0sLYmJiXH4uT6jgQgghhBBCSA+JFQoMf/5Z1H73X4hkMmgm54ARi3sU\nJsMwvD/77QMGDMC6deuwY8cOWCwWLF261GUYt912G9auXYsJEyYAAB5//HGsWrUKBoMB7e3tWLly\nJRemzZAhQ5Cbm4vIyEj069cP2dnZ2Lp1KxiGwbx587BixQrk5eXBbDbj6aefxpAhQ/DMM88gNzcX\n7e3tWLx4MeLi4rhwH3jgATz11FPYuXMn2tvbsXr1aojF4i4P3GdY+7afMFRb29LtYzUadY+OD5c4\ngxVvOH5WjUbt59Tw+ft8CHGOwyVMocINpzCF5K/0+uuz+/McUpoCF44tLKGFy3eWwgz9MEloo3Vc\nCCGEEEIIISEvJLuKbdu2DVu3bgUAdHR0oKioCD/88ANUKlWQU0YIIYQQQggJhpAsuNx88824+eab\nAQCrV6/G3LlzqdBCCCGEEEJIHxbSXcWOHTuG06dPY+7cucFOCiGEEEIIISSIQrLFxWbDhg1YsmRJ\nsJNBQhBrMUFX/wsAQBU/CowopG/lsEXnmRBCSCDRc4d4ErKzijU3NyM3NxdffPGFx/1MJjMkkp5N\nNUfCi8VsxOnDm6DTngMAqGIHYvCYeyESS4Ocst6FzjMhhJBAoucO8SZki7EHDx7ExIneF+3Ratu6\nHQdNERyecbbUFnKZGgDotOdw4dR+qDXjehxvuEwxayPkFJPeznN3wvS3cJpiM9ym7eyt0/z6M6ze\nnCaaDjl88oHeFGZXnjvhmK8G0759+1BZWYnbb7/d52PWrl0LjUaDefPmCZiyrgnZgsuFCxeQnp4e\n7GQQD6g5l4TLPRAu6SSEkN7Elveyejkgv8wp73XMm3uDdr0BPx8ohVgswpiJ6SHTK2jy5MldPqar\ni0MGQsg+vRctWhTsJBAPWIsJNWc+REdrCQCgTXsCiYPuDMgPwsjYEWis2A3W0gEAYERyRMaOEDze\nvkYVPwpt2hPcNZZHZvAeLMG8B7oiXNJJCCG9iX3eqwUgjzzMy3td5c2agXd4fO6EOn2bAR9u/AkV\npU0AgFPHq5B77wSIJd2fC2vJkiW46667MH78eBw7dgzr1q1DQkICSkpKYLFY8Mgjj+DKK6/E7Nmz\nkZmZCalUijvvvBN/+9vfIJVKoVAosGbNGuzcuRPnz5/H8uXLsX79euzevRtmsxnz58/HHXfcgffe\new9fffUVJBIJxo0bh8cee4yXjpdeegmHDx8GAMyePRt33XUXnnzySTQ2NqKxsREbN25EVFRU90+e\nj+jJTbpFV/8Ll7EAQEdrCXT1v3SrG1GX4244yhVaAIC1dKBVezwgcfcljEiCxEF3um2p8OUe8Fbb\nFgjBvFcJIaSvcpX3ttQdBsNYf8SzrMXp/VbtcY/PnVB3+KeLXKEFAM6frsOJI+UYObZ/t8OcO3cu\ntm3bhvHjx2Pr1q2YPHkyqqqq8Je//AVarRZ5eXn44osv0NbWhoceegjDhg3Dyy+/jJtuugkLFy7E\n7t270dzczLWe/Prrr9i3bx/+/e9/w2Qy4e9//zuKi4vx9ddfY8uWLRCLxViyZAm+/fZbLg179+5F\neXk5Pv74Y5hMJuTm5mLixIlgGAaTJk3CwoULu/35uip87gZCYP0h3FJ7INjJ6DMYkaTbP/C91bYR\nQgjpW1pqD8BsaAAAiGVxLvfpyXMn2BgXDSticc9WHsnJycErr7yCpqYmHDp0CCzL4tChQzhy5AgA\nwGw2Q6vVAgAyMzMBAA888ADeeustLFy4EElJScjOzubCu3DhAkaOHAmGYSCVSvHEE0/g66+/RnZ2\nNsRia7e2sWPH4vTp09wx586dw9ixYwEAEokE2dnZOHPmDABgwIABPfp8XRXS67iQ0KWKHwV5ZAb3\nOlDNubr6X7hMz0Ysiw2rpuTewts94K6lI9CCda8SQkhf5pj3imWxvOe32dAAsSyWe90b8uZxkwag\n/4DOzzToskRcdkVyj8IUiUSYOXMmnnvuOVx33XXIysrC7NmzkZ+fj7feegs33ngjYmJiAHSOSdm+\nfTtuueUWfPDBBxg8eDC2bNnChTdw4ED8+uuvYFkWRqMRixYtwoABA3D06FGYzWawLIvCwkKuEAQA\nWVlZXDcxo9GIn3/+mSuwiESBLUpQ1SfpFm/diAJJrbmSavGDIJTuAU/CJZ2EENKb2Oe9KpUcLS1t\naCzfydtHrbkSDGOt5e8NebNMLsGCBybh2KEySCQijBidClEPW1wA4NZbb8V1112Hxx9/HAkJCXjm\nmWeQl5cHnU6H3NxcMAzDG0g/cuRIrFy5EkqlEmKxGKtXr8aBAwfAMAyGDRuGyZMnY/78+bBYLMjN\nzcWwYcNw4403ctvGjRuHGTNmoKioCAzDYOrUqSgoKMC8efNgMBhw00034fLLLwcQ+AH8IbuOi696\nMhVeb5oiOBTjFSJOx8F88sgMaAbegVbtcQDWjC8xKZamQw6BMF1dK393FfM1rV2ZVSyUz6ljmELq\nrdP8+jOs3pwmmg45fPKBUA7TlveqVHKw0sGoPbfFb8+EcMxXSc+Fd9GW9DmOteeRsSN4GWGb9gQS\nEu4PZhLJJY61bcEanE+zihFCSOA5j3N0rmikfJh0Fd0xJKS5qim3H7jXUlvoNI6irvwgGOUVQUlv\nX+fqeqk144LW0gjQrGKEECIUT63ZrvJemgGU9BQVXEjIopry8ELXixBC+g7K8/GwXRAAACAASURB\nVEkw0KxiJGT5MiuVqxmjElLHByyNpFOozCLmiGYVI4QQ//OW51PeS4RAxWIS1lzNGCUSSwG0Bzdh\nJGTQrGKEEBJ4oTLOkfQudAeRkBUZOwLNNT/xFqtiWQtYiwkAeD9Eqc9scNj3b46MHYE27QnejDGR\nsSPQUlsIVi/sQ8vbrGHhvKAZIYSEIlX8KLd5vu397oxz9Jaf294X+rlCQlNIXu0NGzZg7969MBqN\nWLBgAW6++eZgJ4kEGGsxofbcls7FqhgxzIYGNJZ/jTbtrwADGFovAqB+tcHiqn+z/Ywx9jO+WWeU\nOSzIdaJ+1oQQEni+zPLZ1bzYW37uPFOZMM+VUFJWVobly5fzFpHct28fKisrcfvtt3crzI0bN2Li\nxIkYOXKk1329xbVt2zZER0dj+vTp3UpLV4XclS4oKMDPP/+MzZs3o62tDZs2bQp2kogfdGUdDcC5\n7yxYM/evoe0ib1+aJSo4vM0Y42rGN1fXyfHesIVte93Ve4XuB0IICTxdw9Ee58Xe8vNwyO9NRj3q\nKg5CxIiRkDYBIgEKVZMnT+7R8ffdd5/f4gp040LIFVy+//57DB06FH/84x+h0+nw+OOPBztJpId8\nqUFx/KFqsRiDll4SOKzFhOrT/+QKo7qGY2DAcK+p9YQQQkKT47NdLIvz6ZiejDdkWYtP24LFZGjD\n6cOb0NZcCgBorDmOQWMW9ajwYluZPi8vD/Hx8WhqasKsWbNQUlKCJUuW4OGHH0Zrayv0ej2WLVuG\nq6++mjvWaDRi1qxZ2L59OxQKBd59912IxWKcOnUKN910E2pra/Gf//wHLMtiyZIlKCsrw7/+9S9E\nR0dDKpXipptuAgCcO3cO8+bNw6OPPork5GRcvHgRI0eOxKpVq7B27VpoNBrMmzcPq1evxrFjx2A0\nGrFkyRJMmzYNzzzzDKqqqlBbW4vp06fjkUce6cEZFrDgYjAYsG/fPjQ3N3PbGIbBnDlzPB7X0NCA\nyspKbNiwAaWlpXjwwQfx9ddfC5VMEgCeakjcdTfSXeoj64osIp3XVYxmKgkOV/2b7a9DZOwINFbs\nBmvpAAAwIjkiY0fwwmipO8RrQTO2lfLe96U2zVs6CCGE+J/js91saIBYFguzQQvAOS/2pVuv9+cG\n6yIlrrYFR215AVdoAYCWhjPQVh1FfMoYv4Q/e/ZszJgxA9u2bQMAXLx4EY2Njdi0aRMaGhpw/vx5\n3v5SqRTXX389vv76a8yZMwdffvkl3nvvPfztb38DYP1dHh0djfXr16OhoQGrVq3C9u3bIZVKcddd\ndznFf+HCBbz//vtQKBSYMWMG6urquILVN998g8bGRnzyySdobm7G+++/j2HDhmHUqFGYO3cuOjo6\nMGXKlNAtuNx7770AgNTUVN52bwWX2NhYZGVlQSKRIDMzE3K5HA0NDYiLc12Sj42NgEQi7nY6NRp1\nt48NpziDFa9Gowarl0PrsJ01loPVy2ExG50LNTU7YTY6HgHEJGVDHTuQm+64rvwgACAhdfylmcT4\n8YYiIdLlrzAtZiPqyg+i5qLrc+pKQsL9bq9DzcVj3MMHAFhLBxjjaWiSr+K2NVdUeY1DpZJ7/IyJ\nSbEe09EdoXydAsWf6fVXWJSm8AwnEMLlOxtOYdqeCYDrfNXVsz15wGQwIrHrYzpOOj3vWf1xwG7/\nunLPzw1WH4FGhzjV6oiQuVdtP+L52/y38khmZibv9aBBgzBv3jwsX74cJpMJeXl5OHToEF5//XUA\n1t/ic+fOxapVqzBw4EBkZmYiJibGZZgXL17EoEGDIJfLAQCjR492ij8jIwMREREAAI1Gg46Ozmt1\n/vx5jBplLahGRUVh6dKl0Ol0OHbsGAoKCqBSqWAwGHp8DgQruDQ2NmL79u1dPm7s2LH44IMPcPfd\nd6O6uhp6vR6xsbFu99dq27qdxmCs5h2sFcSD+lnll0EeeZjLsBiRHI3VR9BYfQSAc6Gzo8PkHBgj\nhipxJhiJAvUN1qmOGeUVAHDpdef0xz35rEJnfv6+Bv66ro41YTWlvg94dHcdmpud09Xc3ALGPr2S\nZABHePuIpbFcwVUemQHIL3P7Ge0/v7t0dJUQ3xWhwhSSv9Lrr8/uz3NIaQpcOLawhBYu39lwCbOm\nWuv1mcBKB4MRyXmtI5APAyNRAODnxRqNGjpdBxxVXtjHtdDUlB6GMuYyp310uo7O54bD7wlvz4ju\nfPYeHZ92FRprTqC18QIAICrhMsQmXdGjMFmWBctaW5UcC0bFxcVobW3Fhg0bUFNTg/nz52P37t3I\nz893CuPdd99Fbm6uU/gikbVglZ6ejnPnzqGjowNSqRRHjx7FwIEDefu6KpjZZGVlcT2kWlpa8Oij\nj+Kaa65BVFQUVq9ejZKSEnz88cddPwEOBCu4TJw4Ed9//z0mTZrEnRRfTJ06FQcPHsRtt90Gi8WC\n5557zuOJIqHPfuaRdl0J9I0n7N418/cVR0AWkQJDawW/1YU18wZ+E/8SYsCjobXC6zZ1whi0NR6H\nobUMACCLTENC+i2oufAJACBhwK00voUQQgLMl2dCq/a4U+uIp+e0Kn4UWhuOc92DRdLObmW2OJQx\nwyCLTOe6gssi03ndzRiRBJqBd6C+9EvI5RJrhWYIPSPEEhmGjL0P9ZWHIRJJEdcvm2uB6i6GYXh/\n9tsHDBiAdevWYceOHbBYLFi6dKnLMG677TasXbsWEyZMcBk+AMTFxeEPf/gDcnNzERMTg46ODkgk\nEphMJm4fx/jt/7/22mvx448/Ijc3F2azGYsXL0ZycjKWL1+OEydOICUlBSNGjEBNTQ0SExO7fT4E\nu9opKSlYtGgRbxvDMDh58qTXY//0pz8JlSwSJPbraPALLnysuQ1NFd9ALHPfykbChKsKB1fb2M6K\nDYsZqDy1gXsYVpx8E6nDl0J0qQaPEEJIGLN7BLitk2bd/I/OpRI6WkugB6DXNYbcBC4isRSaNOcC\nQnelpqbypkIG+DN5rVmzxmsYs2fPxuzZs7nXL774otM+ZrMZNTU13GD9BQsWIDk5GePGdRZEN2/e\n7PT/4sWLuW0rV650Cvezzz7zmr6uEOxK/+Mf/8CePXuQkpIiVBQkxFnMRm4hqojoYagv/QqGtgpA\npAAsnrvymA1aj4P8iH+5G+DubQYYi6kd9aVfAgDi+88CI5Jw+8elzkRF8xleN4L4/rN4YbKsmTc4\n39RexguftXSg/uLnUKgz3aaBEEJI13nK332Z9EQVPwqt2uNuW0cc6ep/4fYFrM95kTQWlku9K2QR\n6YDdrJKAdfmD5toDMLRVWtMRkRLy0yGHK7FYDL1ej1tuuQVSqRTZ2dm8QkuoEOwXQFJSEqKjo4UK\nnoQ41mLC6cOboNOeAwBoy3aAX3UiglgeD3NHrdsw1JorwTDWJlb6wSos++58KpV1NWIAHmeAsZja\nUX7iDa5gUt58BhJ5Ioz6Um7/lMseQkP5Tl6TPn/6TO8ta+26C9A3nXSZBkIIIV3nbYYvx8Ul3T6D\nPbSOOO3Kmp22MYzdQYzrQJoq93JruekbizxHQnpk2bJlWLZsWbCT4ZFgT//ExET85je/wejRoyGT\nybjtrpqnSO+jq/+FK7RYOWZGFlhM7ltd5JEZUCeMpR+oAWTrzmcb7OltAcn60i+d+jfbCi3c/tqj\nvDicp8/UQiyLg9nQAACQKvvD1FHTGS4jAWvWu00DIYSQrvNlDIt9F293YTi2jnjOn537hpkNnXOE\nGVovIiLmcsgjMzon8xFHgDXbT8Jk5m2j3hh9j2C/CqdOnYpp06aBZVkaXE9cYs3Os4Aw4ghE97sG\n6oQxVGjpBWw1ZXoATbVFiErKcdrHWkC1Tplp655m634mi0hBU8U3gUwyIYQQH1gszlPbutrWFQwj\n4rX0tLdcgL7pV94+clUGlOpMrncA/VboW/w3ubSD66+/Hq2trbjlllswadIklJSU4IYbbhAqOhJi\nVPGjoIod6H1HB6y5DR2tpd53JIJTxY+yTjV5iWPNlnVMi5x7zYjkkCr7d74WR3DN+4C1RUandTEx\nAyOCWjMOas04MCIJRBIFNJm3QpN5K6I04y/1e7aSRXjuQ00IIcQ7b/m7L3yZOZLPuRuYfXdhV2mI\nS7vB6TmTkP4bqDXjkJh+FRVa+iDBrvhjjz2GoUOHAgBUKhVYlsXjjz+OtWvXChUlCSGMSIKs7IU4\n/sPrvOkOfaFvPIEao47GMgSZtz7OIokCqcOXuh2c76qmrHsJcfM/IYSQbvF5DIvHQHycOdIDVcJY\niEQyLg2A89hK21hJwPqcoVkm+zbBfhWWl5fj7bffBmAtuCxbtgy//e1vhYqOhKCGql+8FlpkkekA\nC14/WYDGMoQKxz7OjrPQ2FpH7Nn2j4wdgfITZ3mziqlih6OpsoofCWvhZp9zfHg6zkJjaPXWh5oQ\nQogvvI1h8Sa+/yyUO8wcGZc6021+7qrmiWH4aXA1trKtqcjpOUP6LsEKLiKRCEVFRRg2bBgA4OzZ\ns5BKpUJFR8KOCDEp10KtGQ8AqCv5zOP6LiT4vM1C48i+RcY2q1ir9rjTfi11h7jB+TRrGCGEhAfH\nVve41Jmou/Af9zOVMc6jExy3sazFaR9X20jfJdivgyeeeAKLFi1CUlISAKChoQGvvPKKUNGREJSQ\nOh41pYd5tSedLNBpj0MVPxqt2uOQR/aH2dDCtbzQTCGhx5dZaLxxXBvAulZPg9swfVlLgIQ2g8GA\nwsIDHveJiIjE5ZcPD1CKCCH+Yt/q7qq1pKXuEBhGDFYvR2TsCB/yc1dzKnuZZ5n0KYIVXK666irs\n3bsXp06dglQqRWZmJuRy6wCrLVu24I477hAqahIiRGIp14e2pf5nmPSVvPdN+kreOiCyyHTEpM4E\nw4hp3ZZewH6dF9usYqnDl/L6VbOsGY2X+i674pd+2CSojhw9hjvvvh8iDy3u0aoI/PTfbwOXKEJI\nQLTUHoDZoIUW1oKKZuAdXMs75eekOwS9Y2QyGa644gqn7R999BEVXHoZs0GH6nMfgWVZRKqHoqOk\nDEZ5OsTZE6DWjENE9DCUn3gDAH8BKvt1QAytFyGWqqFQZYCEHlX8KOgajsHYZp31TRrRH4qIgSj/\naT0AICl7ASTKKG5/V+u81Jd+iYSM33WGGZeNtsaTHlde7mk/bBJcCrkco2Y9hsiYZLf7ROppUTlC\ngs02hpHVW6cZZs0WNO3fDwCIzsmBSCpzewxgHddo/4wQSWN441w7WkvQqj3uJT93MbjfwzhI0veE\n5NW/+eaboVKpAAD9+/fHX//6V7/HYTEaULljJ1pa2t1+IYlvTO2NqDi5hnvd3F4FRADl2pMQrf0v\nUh9ahtoL/4ZjocUVfeMJ6BtP0FgHP3AcSO/tXFpM7agv/RLNFdbxKI4zt7AWE0ztNdxro74alSfW\nAZdmqqw49jpSrniEK7y47KtsMfPGybRqj4O12HUDoB4BhBAScKzFhOoz/4Sh9SK0AGQRB2H4vArt\nRcUAAN3BAiQvfhgtBQUArAUZRixyyM+PwqjvfEZYjM5rtXVnvEpLbSHMRmsBiH4bkJC78h0d1hra\n/Px8weKwGA0of+1/oC8+BcD6hUxdtpwKL93AWkyoKFrv8j1RrAzmUXrUFn4CQ8RFl/u4Q7OK9UxX\nB9K769ZlX3hxbEEBawDse/9Igeoj/0TqxD8CAGSKZLQ3neSnizXz+kDbzxgG+LLyMiGEEH9rqTvM\nn8GxrQxGSR33Wl98Chf//DxMtdaCie5gAaLvmuaQn5c5hOpcWcmyJo/pcPW+rdAC0G8DIuAClN1V\nVFQEvV6PRYsWYeHChThy5Ijf42jav58rtADWL6StOZT4jrWYUFfyGeAhIxLHymCQVbp9HwCUMcOh\njKGBuf7kbiC9O+66dfVEx3nnSRlMdV1b04cQQojwXC38zPST817bCi2A9XeT/uzZLsdjaPP8e8Db\n+4SEXIuLUqnEokWLMHfuXFy4cAF/+MMfsHPnTohErstYsbERkEjEXYrDpFag1mGbWq2ARqPuZqq7\nJlDxCBmvxWzE6cOboG88531nicHtW6rYgRg85k5YDAYc3f4r2FhrXyFGyyB98pWQKCO7lb5gnWNv\nhEiXqzBZvRyORQSVSu42/uYyEfQO2+RSEW//aNXNOLbvV3T252IAC9tZ/WEBhk1dBIXaeoxBnoqK\n9mKIFNbvp6XdjERmMGq19bzrrMzoj7Zma02fKnYgBgzNgUjs+9TpgTqnoRimkPyV3qoq7/tIpWKf\n4vPnOfRXWL05TeF0z4bLdzZUwzQ1pDktSSBlo2G69GtJkZyM9kp+oSJGnoxqnIP9M4ERScFarM98\nhhGDZfmtLnGaTI/ptbQNQplDOmTKOBj01tknHZ8R4XSPEv8ISsElKirK7XsDBgxARkYG939MTAxq\na2u5aZUdabVtXY5flD0OyiHfca0uyiFDIcoeh9pa5/6Y/qbRqAMSj9DxttQWQqd1VWgRAyYRIDF6\nPF7UEY/orAlQxY9CbXUzqt57F/rD5yAeZh3bZC7S4RyzC7HTpnc5bT35rEJngv6+9m4/q/wyyCMP\n86adhPwyt/EbT0fCojDzChnG05GoTevcv6X2MPiDUFh+m60IqCg9xjXht6cpIKrsrFQQKcRo0lVB\nv4V/nSPmXgm50voQir78ZtQ3tANo79nn74FwClNIgcynjEaz1/j8eQ79FVZvTpO/P5vQwuU7G0ph\nWowGrrdJ66lfYU7VQ5ymBACYy/SQNqVCc+ddAAD1hAmoXLeG97upObYOaOY/E+SqgWBE1nxfpkxC\nU+UeXpytbSaP6WUUwyGL/Jk3YUviwHm8mchsz4hwzFdJzwlWcGlsbMSXX34JrZZf77t48WJ88MEH\nbo/bunUrTp06heeeew7V1dXQ6XTQaDR+TZtIKkPqsuWwHCmkwfl+pIwaBv1np2Ee0gxxqtLjvlJz\nDNSacU7jjcwnAl+o6426Oo2wCBIY8kshuSYeAGD6bz1Ec7uePVhMdmNgRM6zw7AiAGaWd52b9uyB\nqaYaAGD4/iKNNyOEEIE5PntFKjUsP+tgsatUko9J51Uepi5bzptlrLbkP07hsqwZiZm3AwA3E5g9\nV4tQ8t4XSZA0aIHTs4vGtBAbwQouDz30EOLj4zF48GAwjIvp7dy47bbbsGLFCtx5550AgBdffNFt\nN7GeEEllSLpxJiRBaP3oDVwtDCi+GAcjUwVpqpeCZgOQkHMzAKDxu+94441sJIlJUE+Y4Pd09yVd\nyeyjc3KgO1gA/a7O2rTonBzePo7XHCY5IOng7dN+5iwsRdZtomH8WckAQDkwC4ZBF9F+5jQAQJyg\n4QotwKXxZt99B4jFXLqoEEMIIV1j35riKh91HOtr0bUAYnFnpZJCgYR586Hdu4cXhn1BxlRXz80q\nyds2yPp/dxcQpoIK8USwgktzczM+/PDDLh8nkUjwyiuvCJAi4k+uavQby//r9TjTqRZILkaDuUYC\ni9GAxj27XO9XU43KdWuo9j1AbK2QTfv3Q61WQJQ9zum8O17ztqJf0aG6wNunragITQXWB51i+iDg\nMn48DCMC7CoyXFVpaHf/H0y11n7VNOMfIYR0jS8zp1qMzmNPxTExMNfXAwDkqamoeutNrpLJdV7s\nqlK5c5v9M0Olsq4NQ9MYk54SbFaxwYMH49ixY0IFT0KArVZErRkHRiRBdE4OpOZkmMs6h3lb2jsH\n5pnL9DDtrUN78RlUbnoHpS/9lVfb7ohmewssW21a8o0z3RYU7K+5pCOJd63NZXoYCzsHb7Z/dxYi\nY+d4NllEf5hO6tB+upjbZqpznCYDXKEFoHuAEEK6yuXMqd99B+3ePdDu3QOL0YB2FzOC2QotANBx\n9ixXaOHCcMiLk7IXAPbDWY2XttmxPTMS06+iQgvxC7/fRdOnW5sROzo6sGPHDiQmJkJ8qdsHwzDY\nvXu3v6MkIUIklSFt6WNo3P9fNB/dB3NDA8ynWyEebJ0ZzFykA8zWgXythw4GM6nED0QQwfhFFa9P\ntO36WjewMHxWATbhUuHGLIFsVFoQUkpIcBkMBpSWOk8Pbk+rVSEyMh4yGbUuEv/T7v6GtwYLE6nq\ncZgSZRRSrngE1Uf+CcBaaLEtQEyIUPxecLENvGcYBizLXwa7K2NdhGYxGlC5YycNznfB04rr9v1m\n1RMmWFfRNZvBAmDEYkTn5CAm5xq0vXMShhPWB7WvA+4Vg4cALMvV8rgaZ0F8562PsyPbdWf1vjXp\ns4DTQHtHpuoa4FKjmhktUI8aD+WQoVxtoGLwELBmMzrOWWv/5AOzwIjFXKuMcshQqCdMcOpnTUg4\nKS0tQeGevyKlX7TbfQqrmjBu+lPIyhocwJSR3ogbs3gpn5UkJjmNJYwcM9ZrOKIEDSyXWsUVgwYj\n6qqJ3IB7228DiTKKW3SYkEDwe8ElLc1ao7pkyRKsXbuW997ChQvxj3/8w99Rdpkv/T/7Kk8rrjue\nt7qtn4DV81f/aCn4EWAYXncgjkgEWCwu41WNn4B+9ywCgC792CaudfUet7/uWgDyyMPcdfdruixm\n3sw06gkTULH2De59RixGypKl1gIxnKfgpO8qCVcp/aKRkRYX7GSQPsB+zCIAsAYD6j7ZzNvH2+xe\nAMCY7dZgEQO1F7bA0GZdqNL+twEhgeT3O+6hhx7CyZMnUVNTw3UbAwCz2Yzk5GR/R9ctLvt/7t/f\nrTVDeht3K66rNeOczptjoQUAr0+sEzeFFnFCApRZ1mlIHGctId3j6h5v/O47MG5m63J33SNjRrot\nSHan/bT97FnA7vo2//ADr5DbfroYLQUF3D2g3buHvquEENIDrItt8oFZMDVp0X7mjHUDwwAOvWTM\n2gbuf6OkCmjrLMjY/zYgJJD8XnB56aWX0NTUhBdeeAHPPPMM111MIpEgISHB39GRXsBcV4fazR9C\nd7iQatMF1LhnF9ddwJeWC9Zs8txqIxa7PdZ9oBZemJJE1wvLEkII6R7HFneJJtFpH9ZsRntZmd0G\nV8UbQkKP32cVU6vVSEtLwz333IOKigpUVlaisrISZWVlOHnyJJqbm/0dZZdF5+RAOWQo95rGUnRS\nxY+yrrJ+if28647nzRXFoMHWsSqXWJSRKIsagrKoITAznn/o0gxS/uN4rSSaROf1UuzOtavrbjqp\nc9na4S4OxaDBkA4azF1vxLt4WLLghWmqqeY9VB2/i/RdJYSQrnFscTfV1sDMiHnP4taDB4D2do/h\nyAZkcv9LzcmQRfTnXvu6Jgsh/iZY58T169fj2LFjmDRpEgDgwIEDSElJgU6nw9KlS/Gb3/xGqKi9\nsvX/tBwppMH5DjytuG47b1XvvQvdwQLecZFjxyNi2GXcj8qm/fuhjJBjR7EcVeU6AEC1KhOjKndB\nzJpBhOXYxxlmM2o3u19XydV8+97W5XGMQzl2PD5bvwcNidYByDXGOmQ37OBdb5HEOcuJvfY6twtO\nOsZB31VCCOkaMyPGL8kz0Bhh7a5frcrElXAeh6oYMRId586AETFIfeJpyBMSeHkvIxa5nbiHkEAR\n7K5jWRaff/45UlJSAADV1dVYsWIF8vPzkZeXF9SCC2D9QZR040xIan2b8aov8bRqrUgqQ797FqG8\nqZGr0bFoUnA8cTJETWJc3W5CR+FPAICqqEGoKj/JHdsYkYxKdRbSml0M3AfVpvub/Xghi9EA3eFC\n7pq5Ote2667RqFFb2+I0M427Gb5scRzYvAcN6Jw1SStNQFXyaLA6aytrZiKDxLy7YLa7d5RDhiJ6\nyhSPhREa90QIIb6LzslB04EDOFdtHVfKqKK4QgtgfRbXpcQirq6KG6vKKJXod/c9aD182LoIcUKC\ny7yXxrSQYBOs4FJdXc0VWgAgKSkJtbW1UKvVQkVJAkQklSF58cO4+Ofn0VavxfeRU2A5bR3Ed+7X\nClx94WPILEbUDZ0KYIDbcFTjJ0CZNYg3lTLVpgujOy0XjsfYZgCzDaZvOfAT+j38KE6ftC5aZnYx\n98IFWQbaE63f+Rq2EamMmFpQCCGkh2zT3ZvUCoiyx/HyUQsjxi+p16OStVYaRUjN/IUiAbAiCTL/\n9ipq8q1LWCTMm4/qDW9BX3wKtQCUQ76jMackJAlWcBkzZgyWL1+O3/zmNzCbzfjqq68wevRofPvt\nt4iIiBAqWhIgLT/8AFNtDYoSr4FFIue2W0RSFCVMwsia/yK2eB80ozJQ22KdfyoOTUhusa7XoRwy\nFP3uWUSZYgB1p+XC/hjtrm94M4C1njmL7e/+gFqddahcVLQSQAfv+HZJZ0WFlonBL9v248rcGdSC\nQsKewWBAcXExGhp0Hvfr3z/D4/uEdJX94HtXhYxTR6tQWdY5nrjN6Dy+1GxhIYmIRMr9DwKgGRxJ\n+BCs4PL8889j8+bN2LJlC8RiMa666ircfvvt+P777/Hyyy97Pb6+vh633HIL/vd//xeZmZle9yeB\n1VZcBADQS51X37VtE7NmXMmcRNWAYVBmZWHoiCS0/mT9IUs17cJzXIAS8LxGjqsaPPsw2hzW5qlU\nZ3GFFgBobuIXWlwx1tZ2/wMREkJ8WVSyoqoJmP5UAFNF+gJ/LOlQV9MmRNIIEZxgBRepVIo5c+bg\n2muv5aZErqmpwZQpU7weazQa8eyzz0KpVAqVPNIDprZWtB6xDtDrpzuPM0r+7FH9dOe5/9sPH0AM\nDkB5cSgko5ZT7U2AOE6H2XLgJ4BluXV2HKc2dlWDl7z4Yd7ij2IXU2o6ioqRo7nRWoBJUFlgrKlG\n06W+1TFtlRg6hqZEJ70HLSpJgsLsYoIbu22DL4vH8f8r5MYcKk0t0Ev43fQ1CfyKK1djGmnMKQlF\nghVc3n77bWzcuBExMTG87Xv27PF67Msvv4z58+djw4YNQiWPdBGv5r3oJJdJpjUXo0Y1AM1K63oc\nUfpql4Pvqdk5sBxr5NodWkscr4erGrya/A9428y1NRDFJ8BSXwcASJVqeoxMrAAAIABJREFUUd1W\nyQ36jGmrxPSxSaiLt05fPPiyeJS/8RrO11gLspmJDOKm3SrApyUk8IxGo7VFxYOKqiZoBhshlUoD\nlCrSF7haccViNnMTp8Bsxsiz21GpzgIAJOrO42i/a9EU0Q8AEN1WhaSSU7AYr+W1wtvGH6pdjJsh\nJFQIVnD55JNPsGvXLsTFda02auvWrYiLi0NOTg42bNjAtda4ExsbAYmkGwvhXaLRBH6ygGDE2ZN4\nLQYDTqx6Bc0nTgAAJFFR3Hti1owxFf/HZZDJLWfdTnesVisC9tmDdY69ESJdrsI0qRXw1inL/noY\nlRKn/eVSERx777NNjdz/ouZGjDLt4l37+NhFGDFzGLdP8our0H/3XgBA0rXTIJL5/0EYqHMaimEK\nyV/praryvo9UKvYpPn+ew56GVV0diV3fJkOtdt+K2NJSh6m/jYRMJkOFD2HGxan88hn9dZ7C6Z4N\nl++sP8I0xUSizmFb6/7v0F5ZCQCQ9+sHMWvmVSKOrvyGl1fLB6SjZt0b3HO945dDGL5qJZJu/12P\n0+dOqJ5PEl4EK7ikpKQgyu4Hrq+2bt0KhmHwww8/oKioCE8++STWr1+PhATXDwettnv9NC1GQ1DW\ncbFNNRtoPYlXu3cPl7kBgKm5GRCJAIt1GinHDNIV5ZChEGWPC8hn78lnFToT9Pfnd/dZRdnjoBzy\nHddiohg8hNdVTDlkKHB5Noo//gyAtXDqJDUDyiENXBgilRoWXWdcrNEIqUrNXXt311gy7iq7dHof\nB9MVQnyfwilMIQUynzIazV7j8+c59EdYOp0B6WnDkRCb6nafOm05dDoDABffLxcaGnQ9Tpe/zpO/\nz7fQwuU7648wHfN3iSaRK7QAQIeL2gLec5phoBw9DvVbP+Hebz5xAmc+3YHYadND+rMHIkwS2gQr\nuGRkZCA3NxcTJ06EzK6WdfHixR6P++c//8n9n5eXh9WrV7sttHSXY/9/x/7+xLvI7NFo/fmQ2/dV\n4ycgIXs4WnUdAE11HHCupj8GwJva2H78iiQxyTkMGT+MtqKTaD10kLePcugwRAy7jIuDrjEhhAjL\nPn9XqxVorm9G3SebPR4Td+tctBZa8+/khx9B6+HDgUgqIX4nWMElKSkJSUlJYBjrVLgsy3L/B5s/\nZuToS1wN2ku6+x5Utuq4bYxSyS1kZZvqOCklPiitS8TK1fTH3NTGDlNfmmqqIdEkwlRbA6BzYKZ9\nGOoJE3D+1+O8BcuSFv4ekojIQHwcQgghPnLMz+NmXIeEG2d1vk+D8UmYEqzgsmTJErS2tqK0tBRD\nhgyBXq9HZGTXfuDk5+cLkjbWxYwcrrYRK3eLFzouTthSUMB7n4QuV/d7zNTpYGQytwMzJRGRvAXL\nEvPuokILIYQEmOMskK5azGOuvQ6M2Dr+19UzuTuLEhMSCgQruPz444949tlnYTab8dFHH+G3v/0t\nXn31VUyePFmoKH3mqt0nNNqCQpe3xQtFUim1WIURl98Bsdhr/2b7BctccVw7hh6EhBDiX469Rly1\nmMdMmcLLf13lzd1ZlJiQYBOs4PI///M/+PDDD3HfffchKSkJ//znP/Hoo4+GRMEFYhezkLnaRtyi\ncUJhToDvAN0ThBASHLHXXsfl4Y6VRpQ3k95E5H2X7rFYLEhM7FywbvDgwSEzxiU6J8c6y9IlisFD\nqG+nCxajAdq9e6DduwcWI39WHHfjhEhg2K5N5Y6dTtfGF9E5OdaZxS5x17/Z0z3giO4JQggRXnRO\nDhSDBnGvFYMGIXrKFMROm47YadOdCiSUN5PeRLAWl+TkZG6xyebmZnz44YdISUkRKrqus18fxsta\nMX0R1dCELler3Hf12vjSv5nuAUIICT0WoxHtZWXc6/ayMliMRsqbSZ8gWIvL888/j88//xyVlZWY\nMWMGTp48idWrVwsVXZc07d/PrWcBAO1nTlPtgwNvNTS+1tgT//NX7Zmtf7OrGrruxEP3BCGECK8m\n/wOgvb1zQ3s7N2mKK5Q3k95EsBaXhIQEvPbaa0IFT4KMZiQhjuieIISQ0EN5M+lN/F5wmT7d/QwV\nDMNg9+7d/o6yy1ytS0K1D50sRgNYsxliTSLMl2YpUQwa7HSOaEaS4Oju/es4qwwAjw+y7sRD9wTp\nK4xGIxqbqj3u09hUDaPRCKlUGqBUkb4gMe8u6I4eAToutbrIFUjMu8vjMZQ3k97C7wWXDz5w31xp\nc/z4cYwYMcLfUfvMVvtgOVKIlpZ2qn2w4ziugRMiEysQ51WTXa254sjxurYc+AlgWa7LpKvxK1RL\nR4hnqWe3Q6NUuH2/Vt8O4IbAJYj0GQwDsHb/E9JX+L3gkpaW5nWflStX4tNPP/V31F0iksqQdONM\nSGhldx7HcQ027aeL0bR/P9XYhAhb7ZmnNVfsOV7X9tPFvPdt41ccry/V0hHimlQqxcj4eKSr1G73\nuahrodYW4nc1+R+AtRvjwl4a4+JpjS1CegvBBucTQgghhBBCiL+EXMHFbDZjxYoVmD9/PnJzc3H6\n9GnvBxG/cZx9xIbGAYU3x+uqGDwEikGDudd0fQkhJDwk5t0FRqnkXjNKpdcxLoT0FoLNKtZde/fu\nhUgkwkcffYQDBw7gtddew/r164OdrD7DflwDazbDYgHONYjRkZWFZEYceiVd4hNX41UA/uB8CyPG\nycPlUKkVSM2MgUQiDlp6CSGEuCaJiETm315FTf4HkCukiJ47H5ApcOJwOQBg6Mh+lH+TXivkCi4z\nZszAtGnTAADl5eWIjo4Ocor6Htu4BpPJjC+2HEVlaRNw4TzOFjdg9h0jKUMMU67Gq9he8641gOT+\n0XStCSEkREkiIpFy/4PQaNSorGzk5d+nT9ZQ/k16rZCsQBeLxXjyySfxwgsvYPbs2cFOTp916mgV\nlxECQGVpE04drQpiiohQ6FoTQkh4ovyb9CV+b3E5cOAAGA9z840fPx5r1qzxGs5LL72Exx57DLff\nfju++uorKBSup5yMjY3oUa2CRuN+RhihBCPO7sSrUjufc5Va0aVwwuWzBooQ6fJHmP641t4IdU1C\n9ZwGIkwh+Su9VT78fpJKxT7FF0r3o1arwnkf9ouLUwEAKnzc1x+f0V/nKZzu2XD5zgoRphD5d7h8\n9nC6R4l/+L3gsnbtWo/v5+fnIz093e37n376Kaqrq3H//fdDoVCAYRiIRO4bhrTatm6n1depZP0p\nGHF2N97UzBgk94/mdR9KzYzxOZxw+qz2xwrJ3+fDX+e4p9faG6HuBSHCDacwhRTI767RaPYanz/P\noT/CamjQ+XU/277l5fUoLS3xum///hmQyZzXVfLXefL3+RZauHxnhQjT3/l3OH32cMtXSc/5veCS\nn5/fo+NvuOEGPPnkk1iwYAFMJhOefvppl5kzEZ5EIsbsO0ZyTc404K/3sr/WNDifkOApLS1B4Z6/\nIqWf+/GdFVVNwPSnkJU12O0+pO+gZzXpSwQbnF9YWIhNmzZBr9fDYrHAYrGgsrISe/bs8XicQqHA\n66+/LlSySBdJJGIMH5Ma7GSQALBd62C1lBFCrFL6RSMjLS7YySBhhJ7VpK8QbHD+008/jRkzZsBs\nNmPBggXIyMjAwoULhYqOEEIIIYQQ0osJVnBRKBS47bbbMH78eERFReGFF17Azp07hYqOEEIIIYQQ\n0osJWnBpbGxEZmYmjhw5AoZh0NDQIFR0hBBCCCGEkF5MsILL73//ezzyyCOYPn06tm3bhlmzZmH4\n8OFCRUcIIYQQQgjpxQQbnD9p0iTMnDkTIpEIW7duxYULFxAVFSVUdIQQQgghhJBezO8tLpWVlSgv\nL8eCBQtQVVWFiooKNDU1Qa1W4w9/+IO/oyOEEEIIIYT0AX5vcVmzZg0KCgpQU1ODBQsWdEYkkWDq\n1Kn+jo4QQgghhBDSB/i94PLiiy8CADZu3Ij77rvP38ETQgghhBBC+iBBB+e/9dZbePzxx9Hc3Ix1\n69bBYDAIFR0hhBBCCCGkFxOs4PL888+jra0NJ06cgFgsRklJCZ5++mmhoiOEEEIIIYT0YoLNKnbi\nxAl8+umn2LdvHyIjI/Hyyy9j9uzZQkVHCCGEhCSj0YiKqiaP+1RUNUEz2AipVBqgVBFCSPgRrOAi\nEol4XcO0Wi1EIu8NPEajEU899RQqKipgMBjw4IMPYvr06UIlkxBCCBHcsfyTKJfL3b7f0NGB7MkB\nTBAhhIQhwQoud911F+6++27U1dXhL3/5C7755hs89NBDXo/7/PPPERcXh1deeQVNTU2YM2cOFVwI\nIYSELalUiqkpqUhXqd3uc1HXQq0thBDihWAFl5tuugmVlZX4+eefkZ+fj6eeegq33nqr1+NuuOEG\nzJw5EwBgsVggFouFSiIhhBBCCCEkTAhWcFm5ciU6Ojqwbt06WCwWfPbZZ7h48SJWrlzp8biIiAgA\ngE6nw9KlS7Fs2TKhkkhcMJrM2H+0EgCQMzIZAHivpRIqSJLAcrwnu3MP+iMMQgjxJS+h/IYQ4QhW\ncDl69Ch27NgBhmEAANOnT8esWbN8OrayshKLFy/GnXfe6fWY2NgISHqQKWg07pvuhRKMOH2J12A0\n47l3fsTxs/UAgEOn68AAOHG+AQDw89l6PP+HSZBJfT/fofpZg0WIdPXmMB3vSVf3YFfva1/u41D5\n/MHkr/RWVXnfRyoV+xSfP89hT8PSalU478N+cXEqAOjSvhU+7uvuM/jrPIXTPRuI76wveYm3fcIl\nb+nLYZLQJljBpV+/figtLUV6ejoAoL6+HomJiV6Pq6urwz333IPnnnsOEydO9Lq/VtvW7TRqNGrU\n1rZ0+/hwidPXePceLuMyWwD49VKBxeb42Xp8uqcY08ak+S1OIfQkXqEzQX+fDyHOcSiF6XhPOt6D\n3bmvvd3HofT5vYUppEB+d41GM2prW2AwGPDmm2+43CcyUo7W1g4AwEMPLYVMJut2fP64Hg0NOr/u\n1519XX0Gf91r/rxnA/HjMhDfWV/yEk/7hFPe0pfDJKFNsIILAPzud7/DpEmTIJFIUFBQgMTERNx7\n771gGAbvvPOOy2PefvtttLS04M0338Sbb74JANi0aRPkHmZjIYQQEv5KS0vwyS+fQq52n993tHTg\nt6VzkJU1OIApI4QQEgoEK7g8+OCDvNd33nkn97+t+5grK1eu9DoOhggjZ2QyDpyswanSRgDA4LRo\nsCyLM+XNAIAhadEYM0SDDZ8eAwDk3TAMEQopjGYjfqosBABMTB4HqZhmxiHdZ98/fMLlSSj4tRrF\nZdY1MIakRXNjr3yVMzIZBScrcbb9BAAgSzEcEy5Pwt7DZdz71Ac9dAy6bjjUKTFu32+paAxgagjp\nlDMy2Sk/mjAiAfvKfgRgff653OdSfqNSKzAqM5byG0J6QLCCy4QJE4QKmghEKhHj0TuyeT8a3/j3\nUe59k8WCFRt+RLvRAgA4eq4Bf31gPN4r+gfONFp7cBfW/ILF2fdS4YV0i9Fkxt+3HOEKzwW/VsPM\nstz7rLsDPWEskA0rhKzJeo9Ko9qw5j9Acam1i8GBkzV49I5s+jERAoxGI1q9dP1orW2B0WgMUIpC\nm8FgQGlpCW+bVqty6nLWv39Gj7rWkU72eZAFZrx97H2cbep8/t0/4m7ePmaWxZp/H+UKMkP7x1B+\nQ0gPCNpVjIQPWy232WwBGEAsEmH3wRKcLutc7flcBf8Hhd5gxrq9O1Ch7Bx2eqbxPH6qLMTktEkB\nSzsJXbb7yr6m0dPMdWazhSu0AOAe9jany5qw/2glckYmO4Xrzk+VhdwPCwA413wBhvYIANbxd6dK\nG7H/aKXPY7eIsBoLM9GhjnP7vr6lAbgxgAkKYaWlJSjc81ek9IvmtjkO7K+oagKmP0Vd6/xg/9FK\n3jPxfMevXIUIYH3+/evQHpwuU3Dbzl7qsWBzqrQR3/1cDrHYuiA3tfgS0jVUcCFOtdyE+IPjfTW0\nfwyW3HoF1v7nGK9FhQW4HwOJsUqv4RoMJqdwPdVgmiwWP3waEghSqRTxaZdBFZvqdh+dtpwWarST\n0i8aGWnuC3rEf3St7V73sVi8twvvOlyOGq0eALX4EtJVomAngATfd7+Ud6vQopCKsHjajciKzuS2\nZUVnYmLyOH8mj4Sp/UcreffVqdJG5H9d5NSiYl+DWaPVIzGms/CiiemsubQ5W9XiFK6txcamrd2I\nDZ8ew4ZPj0FfkQRzcyz3nrk5FnGmQdzrof1jXI6bMZrM2Hu4DHsPl8FoMnv9vF3dnxAS+pp0HVj9\n/gGsfv8A9vzCb88y16WC0cVzr7OiM5Ehu8wpDPt8LDFGyRVaANf5FyHEPWpx6eOMJjP+72Bpt45V\nKSX46Xgd2ovHwtBh/bFpUAwHsqk8TFzrMHlv/Zg2OhkXKq3dElMSlNi2/yLvfbOLQoHBZOEG248Z\nosFTG3+C3mDd79BpBibLOIgTyq3H16Vi+rR0yCTuu2o4thYdOFmDJbdegYJfq10e42p/qkUlJLw1\n6Trw6Jvfg3XXiMKK0XZyDJe3tEqHwZDlvFvOFf2gUsqgUivQ1NSGf+06I1yiCenlqODSx+0pLEVd\nU0e3jq1rNmDLHlsGbB0vUIwWGi9AAABXDIx32lajbXXaxqBzwKtCKsKh4jpuJrtIhXMWVdWgd9q2\nu/Ai6poNAIBt+85xhRYAMJlZAGKYa9O5bWIGHu9RV61Fq/9R6LZ7h6v96XtASHh77ZMj7gstNmxn\n3nIebWhodK4IPFxUi+cWTYBGo0ZFZSMOnarjdXXt6kyJhPRlVHDpo9rajfjfHUU4cqYu2EkhAeI4\nKF7o1oD12445battdC4k2/8uaDdauEILALS2m5z2r9Y6F1xshRYA0Omdj3HCoMvTIbvq3kEFE0J6\nL11b12eva9E7twgzos4lIBxn76TB+YR0DRVc+qC2diMeW/8D2g3+74dPtUehKRhdmVgXg1Q1MUpU\nNrR5r8X0IFIuQku75y5nEjFzqaUFUMrESNFEcrP7DEmLxsGiWm5sjatz4bimUWKMEjWNzgUmd/vT\n94CQ8Dd9VDL+ve9Cl45JjJajyqGC5o83X8F7LZWIqdKDkG6igksflP91kd8LLWOHxEMiEiErNdr7\nziTggtGVafzlSSj57hxv21Uj+uHqK5LxxidHAADRkVIcOafl7aNSSrhWk0GpUbhY1Qzb7SqXMBiY\nFosjZ+r5xyjE0LVbdxraPwYP/G44Nu8qBmBdKFUqEfGmXP7X7s4+5rZz4TjFsuOaRvazoTkWTKgW\nlZDe57oJGTh0th7nKzyvLWRPInEe43nsXD0VVAjxEyq4EJeUcjH0HfzCTZomAmW1bS73L61pQ02j\nHgVFtThUXIdH78gORDJJCFPKnbMXpVyCaJUcz959JQDX3cmGpMVgeKZ1eteckckwmizI/7oIgLUQ\nYvvf3rABcbgsPZY7RioR4/45/FpO2w8HWxcxe2aLxeUUy/Y/NrwVTKgWNfwZDAZ88slmr/vNnTsv\nAKkhwSaViPFk7hjue//5D+fRqPPcfUwipgoLQoREBZc+KO+GYThyroHX6iKXitBhtHa/Gdo/BqMG\nxWHLXn5t+dUj+uGXMw1OUycnxih43WhsNdi3J8cI+ClIVwSjK1POyGQU/FrNLSI5JC3aKc6sFDUK\nT9Xytg1Oi+IVABwLIXk3DMPRcw3cAHylTIzf3zAMEQrf1vZwdS7AwmuLFBVMer/S0hKc3LAecXK5\n230aOjpQOpEW2O2L+ieo0ahr4G2zn1xEKRNj6dxsvP3ZCeo2SohAQrrgcuTIEbz66qvIz88PdlJ6\nlQiFFK/+8Sr8744i1DXqMeHyREzOTuVN9epqXnmZVMLVOpvNFmuODeCbg8412CS0BKsrE+vmfxuZ\n1DkLcrXNXoRCilf+eBXyvy6CXCHF7VOzfC60AK7PBa2jQGympqQiXaV2+/5Fne/dhkh4cxwbqFI6\n501jBsVz3cPyLlWgULdRQoQTsgWXd955B9u3b0dkZGSwk9IrRSik3IBBV7NNuauhd6x13nu4DLVN\n/NWEE2OVVMMUggLdYrD/aCVvccnTZU1OrRjdbQmKUEhx/5wroNGoUVvb0uUZ0xzPBQ2uJ4Q4chwb\nqNObeBN/KGRi3D37cqeKE2qdJUQ4IVtwycjIwLp16/D4448HOym9mqfZprpbazRjTCrVMBGf+KMl\nyB8zptmnwzY4n+5hQoijWJUMtZfWPkvTRELqYjA+IUQ4IfuNu/766yGmQW6CczfbFNBZazRtTJrb\nH3E5I5OtYwQuGdo/BlNGpwqbaBIWXN0brloxfLnPPPF0D3eFLR03XZVJhRZCiFMelhij5AotAHCm\nvJm6mRISYCHb4uKr2NgISHrwI0Ojcd+XWSjBiNNdvCq1wuW2rqTxrw/lYNfBiwCAGePTIZN2Xo9Q\n+qyhQIh0hXKYnu4Nf/HHPewolM9poPgrvVVV3veRSsXQaNTQalU+hRkXp+px+lwdr9WqcN7H+AEI\ntm+FAPt253yF0z0rRFpTkmN4eZjZbMHGT4/z9ulqXhMueUtfDpOEtrAvuGi1rqfn9YWtf3wgBSNO\nT/GOyozF0P4xvL79ozJju5zG8YMTAABNjZ3XI9Q+q6/HCsnf50OIc+zvMMcPThDsXtBo1H67h+3D\nDPVzagtTSIH87hqNZtTWtqChQefT/g0Nuh6lz9316Er8vgqVfbt6vvx5zwbix6WQ31nb881oMvco\nrwmnvKUvh0lCW8gXXBiGCXYSejVaOI+EO7qHCSGBQHkNIcEX0gWXtLQ0bN7sfTEw0jM0AwoJd3QP\nE+KZwWBAaWmJ1/3698+ATCYLQIrCE+U1hARXSBdcCCGEENJzpaUlKNzzV6T0i3a7T0VVEzD9KWRl\nDQ5gygghxHdUcCGEEEL6gJR+0chIiwt2MgghpNtCdjpkQgghhBBCCLGhggshhBBCCCEk5FHBhRBC\nCCGEEBLyaIwLIYSQXs1gMOD77//LvY6OjkBTE38NsKuvvibQySKEENJFVHAhhBDSq5WWluBfm/ZA\nrU5w+X5LSx3S0zMCnCpCCCFdRQUXQgghvV562nAkxKa6fK9OWx7g1BBCCOkOKrgQQgjp1YxGIxqb\nqt2+39hUDaPRCKlUGsBUEUII6SoquBBCCOn1Us9uh0apcPlerb4dwA2BTRAhhJAuo4ILIYSQXk0q\nlWJkfDzSVWqX71/UtVBrCyGEhIGQK7hYLBasWrUKxcXFkEql+Mtf/oL09PRgJ4sQQgghhBASRCG3\njsuuXbtgNBqxefNmPPbYY3jppZeCnSRCCCGEEEJIkIVcweXw4cOYPHkyACA7OxvHjx8PcooIIYQQ\nQgghwRZyXcV0Oh1UKhX3WiwWw2KxQCQKuTIWIYQQbxgGxvoiGAw17vcx1XH/tjV52M/h/ZUrn/S4\n7wsvdLbYV7a1ud2vsq0NmT7sF6h9K6qaPO5bUdWElMuF3ZcQQkIRw7IsG+xE2HvppZeQnZ2NG2+8\nEQAwZcoUfPfdd0FOFSGEkP9n797jmyzv//G/cmzSJJS2tFBaihyL4IABirqiwE+FDT4eBiKIoI6P\ncx6ZH3dAwakMlan7bnOKiHP6sdtHp+KcyqbDgSIKWERAyrlA6YnSY5qkSXO4798fIXdzpzk1TdKU\nvp6Phw/JfbiuK/d9X3d6Jdf7fhMREfWklPsZY9KkSdi2bRsAYO/evSgqKurhFhERERERUU9LuV9c\nRFHEY489hiNHjgAAnnrqKQwbNizCXkREREREdD5LuYELERERERFRoJSbKkZERERERBSIAxciIiIi\nIkp5HLgQEREREVHK48CFiIiIiIhSHgcuRERERESU8jhwISIiIiKilMeBCxERERERpTwOXIiIiIiI\nKOVx4EJERERERCmPAxciIiIiIkp5HLgQEREREVHK48CFiIiIiIhSXtIHLh6PBw899BAWLVqEm2++\nGceOHZOt37JlC+bPn4+FCxfi7bffTnbziIiIiIgoBSV94LJ161YolUq88cYb+OlPf4rf/e530jqX\ny4W1a9fi1VdfRUlJCf72t7+hsbEx2U0kIiIiIqIUk/SBy1VXXYXVq1cDAKqrq5GRkSGtKy8vR2Fh\nIUwmEzQaDSZPnozS0tJkN5GIiIiIiFKMuicqValUWLFiBTZv3oznnntOWm61WmEymaTXBoMBFoul\nJ5pIREREREQppMeC89euXYuPP/4YjzzyCBwOBwDAZDLBZrNJ29hsNtkvMsG43Z6EtpMoXkRR7Okm\nEEWF1yr1JrxeifqOpP/i8t5776Gurg533nkndDodFAoFFAoFAGD48OGoqKiA2WyGXq9HaWkpli1b\nFra85ua2mNuSk2NCfX1yf9HpiTp7qt7e+F5zckyRN4qRQqGI+/FIxDHuLWUmqtzeVGaixPNajdd7\nj+cxZJuSV46vrETivZVlxrNMSm1JH7jMnj0bK1aswC233AK3242VK1di8+bNaGtrw4IFC7BixQos\nW7YMgiBg/vz5yM3NTXYTiYiIiIgoxSR94KLT6fD73/8+5PoZM2ZgxowZSWwRERERERGlOiagJCIi\nIiKilMeBCxERERERpTwOXIiIiIiIKOVx4EJERERERCmPAxciIiIiIkp5HLgQEREREVHK48CFiIiI\niIhSHgcuRERERESU8jhwISIiIiKilMeBCxERERERpTwOXIiIiIiIKOVx4EJERERERCmPAxciIiIi\nIkp5HLgQEREREVHKUye7QpfLhYcffhg1NTVwOp246667MHPmTGn9a6+9hnfeeQeZmZkAgNWrV2PY\nsGHJbibFmSi4YW3cCwAwZk+EQqkOuzzSOjp/CW4HGis3AQCyh8yBUq2LuA+vFepLgl3vvmWCTQ2r\nzQmFQsm+QETnnaTf0T744ANkZWXhmWeegdlsxvXXXy8buJSVleHpp5/G2LFjk900ShBRcOPs8b+i\n3VYBAGhrLkPuyMUAEHS570M41Do6fwluB6rL/gBRaAcAVLceR/7v1BWiAAAgAElEQVS45WEHL7xW\nqC8Jdr3nDL8J9Sf+hnZbBZr9tmVfIKLzTdKnis2ePRv3338/AEAQBKhUKtn6srIyrF+/HjfffDM2\nbNiQ7OZRAlgb90ofsgDQbquAtXFvyOXh9qHzW2PlJmnQAgCi0C79+hIKrxXqS4Jd742Vm2TL/Nex\nLxDR+STpX8Okp6cDAKxWK5YvX44HHnhAtn7OnDlYvHgxDAYD7r33Xnz66aeYPn16yPIyM9OhVqtC\nro8kJ8cU8769qc6eqjcnxwTRnib7FhAAjMY0AAi6PNw+0b6HnjrGkSSiXedTma01atgDlqWlqcPu\nazR271oJprcc00SKZ3vjVRbbhKD3xrS0zv3Gpzt9oTdds72lz7LM1C+TUluP/H5cW1uLe++9F4sX\nL8acOXNk62699VYYjUYAwJVXXomDBw+GHbg0N7fF3I6cHBPq6y0x799b6uypeqU60y5EmmGP9I1g\nmmEokHbhuX93Xh5un2jeQ3fea6JvgvE+B4k4rz1ZpjF3Fsz1h6VfXRTKNBhzZ4XcNyfH1K1rpTtt\nTYUyEyle7Y3Xe4/nMezVbQpyvRtzZ8Fuben0q0t3+kK831ui9ZY+yzJTv0xKbUkfuDQ0NOBHP/oR\nHn30UVx66aWydRaLBddeey02bdoEvV6PnTt3Yv78+cluIsUgXHC0QqlGzvCbZAHXvvWhliuUauSO\nXMyA6xQXS1B8uH2Uah3yxy3vdE1Y6neHrIPXCvV2ouDG2dNfwmptD3v9+h5coVCno//gq6FQaqTt\nfX3AkM7gfCI6fyX9jrZ+/XpYLBa88MILeOGFFwAACxYsgN1ux4IFC/Dggw9i6dKl0Gq1uPzyy3HF\nFVcku4nUReGC733rfYGjAFDvskrrgy33H7yYcqYk861QF8QSFB/NPkq1DjnD5nWpDl4r1FtFe40H\nPrii3XIC+eOWd7pf5uSYoOyBX/WJiJIh6QOXVatWYdWqVSHXz507F3Pnzk1ii6i7QgVH5w6cEXa9\n79+By/kHaO8Q6ryGO39d3SeWOoh6k2iv8VAPrvAN8omI+gImoCQiIiIiopTHgQt1mzF7ojcI9Jw0\nw1AYsycC8E6DEEUBKk2mtF6p6Q9D5kUwZk+ENr1QWq5QZ8DeWo76kxshuB1h6xTcDtSf3BjVthQd\nUXDDUr8bZ09/CVFwy5ZZ6ndLy3zCnXcf33kq3/cXCG5Hp3OuTS+E3jQSNYdfRs3hl+FxWjvVEbh9\nYB1EvZkh8yLZ/VGlyYQouNB6dte5/76CpX43svJnQaFM69hRoYI2PQ+C2yHro4LHFbLPRuLf3wWP\nK15vkYgobhi1R90WKjha8Lhkc7d9BFcLzpa/idwRCwGFIC0X3WY4Ws0AwicejCVJIYXnP8++Gd6n\nvfkntQM6z72PFBTvf57sAMz1hzH4wnsAhV+9ogc1h/4IQAQAVJf9DvnjHoBKa+zYyG972b+JejlR\ncOPsiTfhcXU84NjjakZLzeZO27Y1l2HwhfegqeojOKynIHraYK75BK1nPpfuhbbmA2iqUMLWckra\nJ9oElIGxNi7bYWQWLmRwPxGlFP7iQnHhCww15UyRPugaqkuDJkUDAGfbaTRWboLTVhV0fbjEg7Ek\nKaTwoklqFyyZXbDz7hPsPNWdeANO22lpmcteDd+g5dxWqDvxhqxd/ts7baeZUI/OG4HXdzjttgq0\nmQ9DZ7oAoqcjDYB/H3PaTkuDFt8+0faXwHuAtfkE+xoRpRwOXIiIiIiIKOVx4EIJMyD/YlkMhD+F\nOgPa9DxoDQXB1yvTkD1kTtB13tweaVFtS9EJFq+SPWROxBiWcDEwwc7TwOGLZGVq0vMROBds4PBF\nYdsVS4xLuHYS9RRj9kRoDYWRN4T32jdkXuSNGdRmdaxQqKR/ag2FMPS/QLZPuP7i3y8MmRfJ+pox\nczjjyYgo5XDyKiWMUqWRYiBEwYXW+lIIrhYA3ngWc80n0KYXov/gq9HeVgOtfiDa22qhUCiRPWRO\nyJgVhVINdVouXPZKAIA6LZfzsLvJP17FaEwD0i6MGMMSKf9EsPOkVOs6lSm4HdL0sIHDF8niW+KR\nXDKWfDNEyaBQqjFw5C2wNOwB3LUQVTlQKHzXpW8KpQIKhRKGzItkMWdQqAHRDYgeqLRZMOVcAtOA\nSRgwwIhTR7YDCN9fgvWLnOE3wdZ8AABwQVExGpv44BMiSi385KaE8sVAWOp3S4MWf8620zBkXdSl\nXATWxr3SH8MA4LJXMrdHHPgnsKs/l8AuXGLHSPknwp0n/zJVWiMGj7kjYrtixVwwlMoUSjX65V4i\n63fBWOp3y2MGxY5fDj3OJigUSiiUaihVmqiu7WD9wtZ8QNpXqdIA4MCFiFILp4oREREREVHK48CF\nkiLUXG5teiFEwYX6kxthrvtSylkQmJvAnyHzIqi0HXkPYo17oO4JPKdagzzHijF7ItT6jhgmtb4A\nxuyJEeNN4h2PEq84GaJk8/WF1rNfQRCcsvuef2yLSpsJUfRE3V+8+bU8vI8SUa/DqWKUPH5PvVVq\n+sOUMwV282EpZ4G9pUxa31LzH+kxn/4xCaLgRv2Jv8Hj9OY9UGmzkDP8JsYr9BQxxL/hzePitldL\nr932anicVjSe/kfIeJNExKPEI06GKNkC+0LnDTze/yvU8Dib0VL9MewthzFgwJ1dKtc/Pob9gohS\nHX9xoaSwNu6Fs60jX4HgaoGzrTZsHhcf/1wEgfOyPc4mKZiUkivwnDrb5DlWvAH38pHNmWOvhc0N\nEyoepbvC5ZshSkWBfSEkv1iXdlsFGqpLu1Suf3wMEVGq48CFiIiIiIhSXlQDF6vVipqaGtl/sXK5\nXPj5z3+OxYsX48Ybb8SWLVtk67ds2YL58+dj4cKFePvtt2Ouh1JLqDwhoXIY+Of/8J97zXiF1BHp\nXHjzschztAwadVvYfXh+ibwC+0IogffKAfkXd6lc9jEi6k0i/jb8m9/8Bm+99RYyMjJkywMHHNH6\n4IMPkJWVhWeeeQZmsxnXX389Zs6cCcA7qFm7di02btwInU6HRYsWYebMmcjOzo6pLkoswe1AY+Um\nQBShNQyGUqkNGT/gH2cgCC44bVVorNyEnAvmw9ZyEO22SmjT86BQqKWcBb4pYP5lBotXALyPCvV/\nTV0nCm5vzh17Rx6XcBRKNQZcME/KwTLggnmyfVRaIwZfeB/OHHsNSpUCucNvhVrXP+L5S0Q8iu+9\nxbNMou6Q+psoQBQ9aK05K+VxUSiUsr4gigL887qcKwEKharTvTLYY4wDr/+Ocj0AFN78TewXRNQL\nRLxLffLJJ9i2bRsMBkNcKpw9ezZmzZoFABAEASpVx5NRysvLUVhYCJPJBACYPHkySktLMXv27LjU\nTfEjuB2oLvuDFItiNx8EED6YWqFUw5B5kWy/mtbjyB+3HP1yL+m0fahcBP55PYIFc0cKTqXO/I9j\nM4A0w56IQfGC24GaQy90nMtDLyB/3HIpcagouNF4+h8Q3K0Q3EDj6X9IZYY7f7kjF8c1xwoTUFKq\niRh4j671hXDbhLr+jdkT2S+64MyZM3j6mSfCbrP68adgNBrDbkNE3RNxqtiYMWPQ3t4eabOopaen\nw2AwwGq1Yvny5XjggQekdVarVRq0AIDBYIDFEjohF/WcxspNsgB6n0jB1IH7iUK791ebGAUL5o4U\nnEqdxRIUH+lcRlNmooLxk10HUVdEE3gfr+s01PXPftE1ZUcOoEx7Akf7VQb9b794BCdPnejpZhKd\n9yJ+tXLddddh1qxZGDVqlPTriEKhwOuvvx5zpbW1tbj33nuxePFizJkzR1puMplgs9mk1zabrdMU\ntUCZmelQq1VhtwknJ8cUeaM464k6411va40a9hDrjMY0qa7AOoPtl5amjrltoj0NzUGW99QxjiQR\n7YpHmcGOo/95DCbSuYymzFjqDRRp21jqSNXzlEzxbG+8yjpf2hTqvhWoq30hWJtCXf8AIvaL3nTN\nJrrP5uRkYMjU4Ujrpw+6rfWMGTk5/SK2o7fcW/pymZTaIg5cnnzySaxcuRJ5eXnSMoVCEWaP8Boa\nGvCjH/0Ijz76KC699FLZuuHDh6OiogJmsxl6vR6lpaVYtmxZ2PKam9tibktOjgn19cn9Racn6kxE\nvcbcWTDXH+70q4tCpYegGob6ekunOkXBDVGVCyjU0iM8Fco0GHNnRWxbyBiFtAuRZtgjfXPoC06N\n9b0m+iYY73Mft/Ma5Dgi7cJOZXucVimmJafwBrScPQSITu9KhVZ+LqMpM8p6Q4nq/XexjkT00USV\nmUjxam+83ns8j2GPtyngmgxGpc2ExdIG1DV3afpWdpYOp45sB3AuhizE9e/9d+h+Ee/jnWiJ7rN1\nZ5thqTajvcURdPu2RivqzjRj0MDQ7ehN95a+XCaltoh3Q5PJhOuvvz5uFa5fvx4WiwUvvPACXnjh\nBQDAggULYLfbsWDBAqxYsQLLli2DIAiYP38+cnNz41Y3xY9SrUP+uOXe6UIeFxyWcgAeiB67FOsA\n+H3rFzDPWqHSQ2e8ANmF/yXFRIQSLkYhWLB+sOBUCs//OBqNwYPzPU4rqst+B1+QcO2RF6HR5cHl\n8D5lUJueK9snmjKTkRySCSgp1cgeVuJxwFz7GYBzCSWhglJjkiWVjDb2RBTcOLbnT7A2e6cs+e6V\noa5/9ovoKUUtrPsugjoteLxvu7URuJoZJogSLeJdavLkybjvvvtwxRVXQK0+92QnhSLmwcyqVauw\natWqkOtnzJiBGTNmxFQ2JZdSrUPOsHmoP7kRHR+6HbEOA/Nuk5YFzqcWPXboTMMiDlqC7eubi+0L\nSPUP9qbY+Y5jqG+xgiWU9A1aAMBpq5Kdl2jK9N8mkXiNUKrxXZOB90/AA8HVIr0KvN+FY23cKw1a\nAvcNtj/7RfQ0Gi0y80ZDq+8XdL2tpRYajSbJrSLqeyIOXNra2mA0GrFnzx7Z8nj+CkNERERERBRO\nxIHL2rVrUVZWhnHjxqG1tRVlZWW47LLLktE26iWyh8xBdevxjngXQQFnXS1qj/8HNocHzrYaaHQ5\ngCINEL3bKDWZEEUBgtsRNF8L4J32YGnYA4e1AiptJjxObygpE6YlRqQ8LgOHL5JNFQMU0OgHw2Wv\nBgBoDYVIzxhz7htk73UhuB04c+w11PjlcQmMVxJcTjTs/jsAYMCUG6BKS0/K+yXqCW57K+r2/QWA\nAPWAbCgUKgAaAC7vBgotNPqBcLVVAvDe76R+5ZczKzB/CwCIogdafTac9kZpX0PmRbI8SZwORkS9\nWcQ72LPPPouysjK8+uqrsNvtWLduHUpLS3H//fcno33UC/jiXRpOvQdHw1EgTYQnrQk1Jz6Stgl8\n+pTgakZL9Ucw126VBjz+sSui4Ebd8b/AaTst7aPSZMKUOxWmAZP44Rtn0eRxUap10KQPhqvNO1BR\n6/MARcecblH0oPrg81KwflXLYfimwAhuoObQc8gruhtNVZukqX+2pv1wVlUBWd4yqrf/FvnFD3Lw\nQuclt70VNd/+HjiX7N5jaTq3puOBN9r0XOQOXyQNStIzxsjyJflyZrXU/EdaZms6ACgg3S9V2iyY\nci6BMWs86k/8jblaiOi8EfHutXXrVrz//vsAgIEDB+LVV1/F9ddfz4ELySjVOoh1HqCLf2/6P5XM\nfz62tXGvbNACAB5XMxQKJT90EyBSHJFvG9+gBQDc9hpZGf7rvDwIVHvsFcDvnDvbOgYtAIAsEQ27\n/46B31sc2xshSmF1+/4iDVrkOmLHnLYq2JoPSH2v/uTGoDmzRFk/CrhXOpugUChhaz4QsV9T3+J0\nOlFZGT6HUHOzEQZDNrRabZJaRRS9iH8Bejwe2O12KRus0+ns1uOQiYiIiCj5KisrsHvLkxg8KHSO\nvN1nzJgy82GMGDEqiS0jik7EgcvChQsxb948zJw5E6IoYtu2bVi8mN+GUmcDptyA6u3Pyr9Bj0Ch\nTJO+OfSPXTFmT4St+YDsVxdteiFjWxLEmD0Rbc1lspwOgcc6cBtteqFseorWUABn29mOvC5QIfBX\nl7xRy2RTxbTpBbKpYmhSYEDxDQl5j0Q9beCEW7xTxTo9fEoB368ugX2vUwyhbw+/e2dgX/QvI1K/\npr5n8KAMDC3owgc1UQqJOHC57bbbMGnSJJSWlkKj0eDZZ5/F2LFjAUAK2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hFtVhjGjkP2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0uqDr6u0OAF17QisTRlIq4sCFiIiIqBfTaDQYn50ddkpZV35t8WHCSEo1yp5uABERERERUSQc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\nsnv3bgYPHsy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\n", "text/plain": [ - "" + "
" ] }, "metadata": {}, @@ -432,7 +531,8 @@ "# We have to temporarily drop the rows with 'NA' values\n", "# because the Seaborn plotting function does not know\n", "# what to do with them\n", - "sb.pairplot(iris_data.dropna(), hue='class')" + "sb.pairplot(iris_data.dropna(), hue='class')\n", + ";" ] }, { @@ -454,7 +554,9 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "##Step 3: Tidying the data\n", + "## Step 3: Tidying the data\n", + "\n", + "[[ go back to the top ]](#Table-of-contents)\n", "\n", "Now that we've identified several errors in the data set, we need to fix them before we proceed with the analysis.\n", "\n", @@ -470,9 +572,7 @@ { "cell_type": "code", "execution_count": 6, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -508,14 +608,12 @@ { "cell_type": "code", "execution_count": 7, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "" + "''" ] }, "execution_count": 7, @@ -524,9 +622,9 @@ }, { "data": { - "image/png": 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"text/plain": [ - "" + "
" ] }, "metadata": {}, @@ -536,7 +634,8 @@ "source": [ "# This line drops any 'Iris-setosa' rows with a separal width less than 2.5 cm\n", "iris_data = iris_data.loc[(iris_data['class'] != 'Iris-setosa') | (iris_data['sepal_width_cm'] >= 2.5)]\n", - "iris_data.loc[iris_data['class'] == 'Iris-setosa', 'sepal_width_cm'].hist()" + "iris_data.loc[iris_data['class'] == 'Iris-setosa', 'sepal_width_cm'].hist()\n", + ";" ] }, { @@ -551,14 +650,25 @@ { "cell_type": "code", "execution_count": 8, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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\n", " \n", " \n", @@ -653,14 +763,12 @@ { "cell_type": "code", "execution_count": 9, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "" + "''" ] }, "execution_count": 9, @@ -669,9 +777,9 @@ }, { "data": { - "image/png": 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" ] }, "metadata": {}, @@ -683,7 +791,8 @@ " (iris_data['sepal_length_cm'] < 1.0),\n", " 'sepal_length_cm'] *= 100.0\n", "\n", - "iris_data.loc[iris_data['class'] == 'Iris-versicolor', 'sepal_length_cm'].hist()" + "iris_data.loc[iris_data['class'] == 'Iris-versicolor', 'sepal_length_cm'].hist()\n", + ";" ] }, { @@ -700,14 +809,25 @@ { "cell_type": "code", "execution_count": 10, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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\n", " \n", " \n", @@ -806,14 +926,12 @@ { "cell_type": "code", "execution_count": 11, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "" + "''" ] }, "execution_count": 11, @@ -822,9 +940,9 @@ }, { "data": { - "image/png": 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" ] }, "metadata": {}, @@ -832,7 +950,8 @@ } ], "source": [ - "iris_data.loc[iris_data['class'] == 'Iris-setosa', 'petal_width_cm'].hist()" + "iris_data.loc[iris_data['class'] == 'Iris-setosa', 'petal_width_cm'].hist()\n", + ";" ] }, { @@ -845,14 +964,25 @@ { "cell_type": "code", "execution_count": 12, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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\n", + "\n", "
\n", " \n", " \n", @@ -1002,9 +1143,7 @@ { "cell_type": "code", "execution_count": 14, - "metadata": { - "collapsed": true - }, + "metadata": {}, "outputs": [], "source": [ "iris_data.to_csv('iris-data-clean.csv', index=False)\n", @@ -1022,14 +1161,12 @@ { "cell_type": "code", "execution_count": 15, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "" + "''" ] }, "execution_count": 15, @@ -1038,9 +1175,9 @@ }, { "data": { - "image/png": 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K/eW93zELRiqSU1htV6RUoq1Oh8YN7/FvV6lgTR3H+o6o3fud2/Cx3tivkp7z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L59B/2qrPOd60/U4kY/gtPcxbK0txmw/+nfiWXtP3AQWSue8zl4iYYAOa7dTkSh4k/SPsBzjKLz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\n", 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\n", "text/plain": [ - "" + "
" ] }, "metadata": {}, @@ -1048,7 +1185,8 @@ } ], "source": [ - "sb.pairplot(iris_data_clean, hue='class')" + "sb.pairplot(iris_data_clean, hue='class')\n", + ";" ] }, { @@ -1061,7 +1199,7 @@ "\n", "* Make sure your data is encoded properly\n", "\n", - "* Make sure your data falls within the expected range, and use domain knowledge whenever possible\n", + "* Make sure your data falls within the expected range, and use domain knowledge whenever possible to define that expected range\n", "\n", "* Deal with missing data in one way or another: replace it if you can or drop it\n", "\n", @@ -1076,49 +1214,27 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "##Bonus: Test our data\n", + "## Bonus: Testing our data\n", + "\n", + "[[ go back to the top ]](#Table-of-contents)\n", "\n", "At SciPy 2015, I was exposed to a great idea: We should test our data. Just how we use unit tests to verify our expectations from code, we can similarly set up unit tests to verify our expectations about a data set.\n", "\n", - "We can quickly test our data using `assert` statements: We assert that something must be true, and if it is, then nothing happens and the notebook continues running. However, if our assertion is wrong, then the notebook stops running and brings it to our attention. For example:" + "We can quickly test our data using `assert` statements: We assert that something must be true, and if it is, then nothing happens and the notebook continues running. However, if our assertion is wrong, then the notebook stops running and brings it to our attention. For example,\n", + "\n", + "```Python\n", + "assert 1 == 2\n", + "```\n", + "\n", + "will raise an `AssertionError` and stop execution of the notebook because the assertion failed.\n", + "\n", + "Let's test a few things that we know about our data set now." ] }, { "cell_type": "code", "execution_count": 16, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "ename": "AssertionError", - "evalue": "", - "output_type": "error", - "traceback": [ - "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[0;31mAssertionError\u001b[0m Traceback (most recent call last)", - "\u001b[0;32m\u001b[0m in \u001b[0;36m\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0;32massert\u001b[0m \u001b[0;36m1\u001b[0m \u001b[0;34m==\u001b[0m \u001b[0;36m2\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m", - "\u001b[0;31mAssertionError\u001b[0m: " - ] - } - ], - "source": [ - "assert 1 == 2" - ] - }, - { - "cell_type": "markdown", "metadata": {}, - "source": [ - "Let's test a few things that we know about our data set now." - ] - }, - { - "cell_type": "code", - "execution_count": 18, - "metadata": { - "collapsed": false - }, "outputs": [], "source": [ "# We know that we should only have three classes\n", @@ -1127,10 +1243,8 @@ }, { "cell_type": "code", - "execution_count": 19, - "metadata": { - "collapsed": false - }, + "execution_count": 17, + "metadata": {}, "outputs": [], "source": [ "# We know that sepal lengths for 'Iris-versicolor' should never be below 2.5 cm\n", @@ -1139,10 +1253,8 @@ }, { "cell_type": "code", - "execution_count": 20, - "metadata": { - "collapsed": true - }, + "execution_count": 18, + "metadata": {}, "outputs": [], "source": [ "# We know that our data set should have no missing measurements\n", @@ -1163,7 +1275,9 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "##Step 4: Exploratory analysis\n", + "## Step 4: Exploratory analysis\n", + "\n", + "[[ go back to the top ]](#Table-of-contents)\n", "\n", "Now after spending entirely too much time tidying our data, we can start analyzing it!\n", "\n", @@ -1182,26 +1296,24 @@ }, { "cell_type": "code", - "execution_count": 21, - "metadata": { - "collapsed": false - }, + "execution_count": 19, + "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "" + "''" ] }, - "execution_count": 21, + "execution_count": 19, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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KmUpWD3Svm9PpxHPbjwqD6YOVDaLluiOhnasePK9atQr19fXIzMyEzu1k5uCZ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\nigZspxQN2E4pnEI+eN65cydOnDiBNWvWoKGhAe3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Tp/ofzKGkpARarRZvvvkmDh48iGef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\nAAAASUVORK5CYII=\n", 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\n", "text/plain": [ - "" + "
" ] }, "metadata": {}, @@ -1209,7 +1321,8 @@ } ], "source": [ - "sb.pairplot(iris_data_clean)" + "sb.pairplot(iris_data_clean)\n", + ";" ] }, { @@ -1218,31 +1331,29 @@ "source": [ "Our data is normally distributed for the most part, which is great news if we plan on using any modeling methods that assume the data is normally distributed.\n", "\n", - "There's something strange going with the petal measurements. Maybe it's something to do with the different `Iris` types. Let's color code the data by the class again to see if that clears things up." + "There's something strange going on with the petal measurements. Maybe it's something to do with the different `Iris` types. Let's color code the data by the class again to see if that clears things up." ] }, { "cell_type": "code", - "execution_count": 22, - "metadata": { - "collapsed": false - }, + "execution_count": 20, + "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "" + "''" ] }, - "execution_count": 22, + "execution_count": 20, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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K/eW93zELRiqSU1htV6RUoq1Oh8YN7/FvV6lgTR3H+o6o3fud2/Cx3tivkp7z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L59B/2qrPOd60/U4kY/gtPcxbK0txmw/+nfiWXtP3AQWSue8zl4iYYAOa7dTkSh4k/SPsBzjKLz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\n", 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\n", "text/plain": [ - "" + "
" ] }, "metadata": {}, @@ -1250,7 +1361,8 @@ } ], "source": [ - "sb.pairplot(iris_data_clean, hue='class')" + "sb.pairplot(iris_data_clean, hue='class')\n", + ";" ] }, { @@ -1268,16 +1380,14 @@ }, { "cell_type": "code", - "execution_count": 23, - "metadata": { - "collapsed": false - }, + "execution_count": 21, + "metadata": {}, "outputs": [ { "data": { - "image/png": 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eeMti2MIwDIqa+p7+4IlpEWLHMAwafjzi8v4NR13f15PsPhbMy8vDzp07oVQq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\nnJsiAAAAAElFTkSuQmCC\n", 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\n", 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" ] }, "metadata": {}, @@ -1305,11 +1415,13 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "##Step 5: Classification\n", + "## Step 5: Classification\n", + "\n", + "[[ go back to the top ]](#Table-of-contents)\n", "\n", "Wow, all this work and we *still* haven't modeled the data!\n", "\n", - "As tiresome as it can be, tidying and exploring your data is a vital component to any data analysis. If we had jumped straight to the modeling step, we would have created a faulty classification model.\n", + "As tiresome as it can be, tidying and exploring our data is a vital component to any data analysis. If we had jumped straight to the modeling step, we would have created a faulty classification model.\n", "\n", "Remember: **Bad data leads to bad models.** Always check your data first.\n", "\n", @@ -1330,10 +1442,8 @@ }, { "cell_type": "code", - "execution_count": 24, - "metadata": { - "collapsed": false - }, + "execution_count": 22, + "metadata": {}, "outputs": [ { "data": { @@ -1345,7 +1455,7 @@ " [ 5. , 3.6, 1.4, 0.2]])" ] }, - "execution_count": 24, + "execution_count": 22, "metadata": {}, "output_type": "execute_result" } @@ -1364,11 +1474,11 @@ "all_inputs = iris_data_clean[['sepal_length_cm', 'sepal_width_cm',\n", " 'petal_length_cm', 'petal_width_cm']].values\n", "\n", - "# Similarly, we can extract the classes\n", - "all_classes = iris_data_clean['class'].values\n", + "# Similarly, we can extract the class labels\n", + "all_labels = iris_data_clean['class'].values\n", "\n", "# Make sure that you don't mix up the order of the entries\n", - "# all_inputs[5] inputs should correspond to the class in all_outputs[5]\n", + "# all_inputs[5] inputs should correspond to the class in all_labels[5]\n", "\n", "# Here's what a subset of our inputs looks like:\n", "all_inputs[:5]" @@ -1383,35 +1493,41 @@ }, { "cell_type": "code", - "execution_count": 25, - "metadata": { - "collapsed": true - }, + "execution_count": 23, + "metadata": {}, "outputs": [], "source": [ - "from sklearn.cross_validation import train_test_split\n", + "from sklearn.model_selection import train_test_split\n", "\n", "(training_inputs,\n", " testing_inputs,\n", " training_classes,\n", - " testing_classes) = train_test_split(all_inputs, all_classes, train_size=0.75, random_state=1)" + " testing_classes) = train_test_split(all_inputs, all_labels, test_size=0.25, random_state=1)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "With our data split, we can start fitting models to our data. Our head of data is all about random forest classifiers, so let's start with one of those.\n", + "With our data split, we can start fitting models to our data. Our company's Head of Data is all about decision tree classifiers, so let's start with one of those.\n", "\n", - "There are several decision tree classifier [parameters](http://scikit-learn.org/stable/modules/generated/sklearn.tree.DecisionTreeClassifier.html) that we can tune. For now, let's use a basic decision tree classifier." + "Decision tree classifiers are incredibly simple in theory. In their simplest form, decision tree classifiers ask a series of Yes/No questions about the data — each time getting closer to finding out the class of each entry — until they either classify the data set perfectly or simply can't differentiate a set of entries. Think of it like a game of [Twenty Questions](https://en.wikipedia.org/wiki/Twenty_Questions), except the computer is *much*, *much* better at it.\n", + "\n", + "Here's an example decision tree classifier:\n", + "\n", + "\n", + "\n", + "Notice how the classifier asks Yes/No questions about the data — whether a certain feature is <= 1.75, for example — so it can differentiate the records. This is the essence of every decision tree.\n", + "\n", + "The nice part about decision tree classifiers is that they are **scale-invariant**, i.e., the scale of the features does not affect their performance, unlike many Machine Learning models. In other words, it doesn't matter if our features range from 0 to 1 or 0 to 1,000; decision tree classifiers will work with them just the same.\n", + "\n", + "There are several [parameters](http://scikit-learn.org/stable/modules/generated/sklearn.tree.DecisionTreeClassifier.html) that we can tune for decision tree classifiers, but for now let's use a basic decision tree classifier." ] }, { "cell_type": "code", - "execution_count": 26, - "metadata": { - "collapsed": false - }, + "execution_count": 24, + "metadata": {}, "outputs": [ { "data": { @@ -1419,7 +1535,7 @@ "0.97368421052631582" ] }, - "execution_count": 26, + "execution_count": 24, "metadata": {}, "output_type": "execute_result" } @@ -1448,26 +1564,24 @@ }, { "cell_type": "code", - "execution_count": 27, - "metadata": { - "collapsed": false - }, + "execution_count": 25, + "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "" + "''" ] }, - "execution_count": 27, + "execution_count": 25, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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WIPngsDYRheXomdCEF1ckOJwpfFNyDTDp1ahv6YUkcQnJVMJwJqIxBUURdY3d\nyDFnoCBHn+xy6ILQEpJZ6HF6YevheedUwnAmojE1tjrR7w3givL43kJFsRsc2uZV26mF4UxEYzp8\nZnzON1PkhsK5ifNspxKGMxGN6eiZLigVwlAQkHzkZemQY9bieHMPRJHnnVMFw5mIRuVw+9DU7sS0\nQgt0GbzBQ24EQUB1WTbcngAa2xzJLofihOFMRKMaXJaQV2nLV01ZaAnJo1xCMmUwnIloVEd4vln2\nZpZmQSEIQ/ei08THcCaiEQWCIg6f7kK2OQOFVi4VKFd6rRrlk8040+qA2+NPdjkUBwxnIhrRqXN9\n6PcGMGdqLm+hkrmasmxIEnC8ibdUpQKGMxGN6LNTnQDAqTQngOpynndOJQxnIhqWJEk4dMoOrUaJ\nGcW8hUruyiaZYdCqUNfYxak8UwDDmYiGdd7uhr3PgyvKc6BS8k+F3CkUAmaWZqPL4UV7d3+yy6EY\n8TeOiIZ16JQdAIe0J5KhW6rOcGh7omM4E9GwPjtlh0IQMKuCt1BNFIO3uw1Ot0oTF8OZiC7T6/Ki\nsc2B6UUWGLTqZJdDYcoyZaCswITjTT1w9PuSXQ7FgOFMRJepbRgc0rYmuRKK1DVV+RAlCX+v70h2\nKRQDhjMRXebgSZ5vnqjmV+VDALDvmC3ZpVAMGM5EdIkepxdHG7tQMsmEvExdssuhCGWZMlBZnImT\n5/rQ7fAkuxyKUtRLzCxbtgxGoxEAUFRUhB/96EdxK4qIkmfP0TZIEnDDrIJkl0JRunpmPupberHv\nuA1fvaYk2eVQFKIKZ6/XCwDYtm1bXIshouSSJAkfHW6DWqXANTPzk10ORemqyjy89LeT2HeM4TxR\nRTWsXV9fj4GBAaxfvx733Xcfamtr410XESXBqXN9sPUMYF6lFXpepT1hGXVqVJdlo8XmQluXO9nl\nUBSiCmedTof169fjN7/5DTZv3ozvf//7EEUx3rUR0Tj78HArAOD6KzikPdENjnzwwrCJKaph7dLS\nUpSUlAw9zszMRGdnJ/LzRx4Gs1pN0VWYZthP4WE/ARqNCKOhGwajdtTnmUb4vgI+5OaaYLGE+rLf\n48enJzqRn63HdfOKoVCMvApVuG2P5IttRyqW9kdqe7z2qUTUPpzFC3T47VsnsPeYDd/8Wg3UKmVc\nfm4Af//GQ1Th/Morr+DEiRPYtGkTbDYbXC4XrNbR74fs7HRGVWA6sVpN7KcwsJ9CHA4nXG4vRIx8\nRa7JqIU5RGJGAAASWUlEQVTTNfz3+91e2O1O+HyhAbTdta3w+oJYUJ2Pri5XzG2P5ottRyqW9odr\nezz3qXjXPpovz5mMvx04iz+9cxI3zyuMy88N4N/zcMT6Biaq34wVK1bA5XJh9erVeOSRR/DMM89A\noeBdWUQTlShJeO/geQgAvlTDIe1UceuCEmRolNixpwleXzDZ5VAEojpyVqlUeO655+JdCxElyd6j\n7Wi2OXF1VR5yLNENeZL8mPUaLLmqCDv2NGHXwXO4bmZmskuiMPFwlyjNDXgD+MP7p6FRKXDPV6Ym\nuxyKs1uuLoZBq8KbnzSj3xtIdjkUJoYzUZrb8XETHG4fbltQgmwzj5pTjV6rwlevLYHbE8D7h3jl\n9kTBcCZKY7YeD3Z+eha5Fi1uubo42eVQgtx8ZSEsBg12HmxHc0d/xNuLkgR/gLfLjqeop+8kouTw\n+YP45JgN9U12HG/phbO/FUadGjkWLXItOhTnG2HQjT2BSCAo4vcfNCMoSrj3pmnQqJXjUD0lQ4ZG\nie8tn4V/+3+f4cCJXqhUGZhWNPL5Z1e/H03tDrR398PZ74d7wA9RAjINKvgkFWrKrKiYbIYgjHy7\nHcWG4Uw0gZxpdeDXrx9De3fo6EepEGAxZsA14EdjmxONbU58Wt+BonwjKoszYTRkDPs6zn4f3j1k\nh6M/gLnTcnHldK4+lerKJ5vxnTun42evnMDeOhtcA34UWo3IMmdAEAB7nwe27gGc63DB3nfxViut\nRolssxZKhYDO3gG89lELXvuoBQuq8/GNpTOQwTd1CcFwJpoAAkERr+9pwut7miFKEhbNK8SVFSY0\ntPbCaDRDkiQ43H7Yevpx8mwvWmwutNhc+KSuA8X5BpRMMkGnUcHjC6LP7cX+4x3w+UVcf4UVa5dW\n8wgoTRTm6vHlWTn4sK4bR86E/gkABIUAUZQAAAKAghw9SgtMKMozQau5GL4ORx/KinLx6u4W7K2z\n4WyHC99ZdgXys/XJ+Q+lMIYzkcyJkoT//OtxfHLMhhxzBu6/bSaqSrLgcPThTFsfAEAQBFiMGliM\nGkwrtMDe68GJs7042+FCXWMP6hp7LnlNhSBg3rRMLL++GColLz1JJ2aDGnd8qRTnO93ocnjQ1edF\nUBSRl6lDfrYe+dk6aDXDR4NKqcC8ylzMKMrFy++ewnsHz+PJ3x7AQytmY/oow+QUOYYzkYxJkoTf\nv9uAT47ZUDHFjIfvngO9dvRfW0EQYM3SwZqlg06nwYmmLpy1uRCUJOg0Kmg1SkyxGqBV+sfpf0Fy\no9WoUDHFgooplqi2V6sUWLukElMnW/CfbxzHlleO4P/cdxVyuf533DCciWTs7f1n8bcDZ1GQo8dD\nK2aPGcxfpFIqUJxvQnH+5VMJ9rsZzhSbBTWT4PUH8d9vn8DP/nQYP1wzD7oMxko8cDyLSKb2H7fh\n9+81IMuUgX++dw6MYVyBTTTevjx3Cm66cgrOdbrx69ePQZSkZJeUEhjORDLU0TuAF9+sR4ZGiYfv\nmc3JQUjWVt48DVUlWfjslB1v7G1OdjkpgeFMJDOBoIhfvlYHjy+INYuno9BqTHZJRKNSKRV48Os1\nsBg1+MtHjTjXOfqqZjQ2hjORzPzlo0acaXXg2pn5WFgzKdnlEIXFqFPjvltmICiG7i4IipxRLBYM\nZyIZOd7cgzf2NiPXosXaWyp5/zFNKHOm5WJB9SQ0tTvx1r6WZJczoTGciWSi3xPAb/56DIIg4IGv\nVfOqV5qQVi2aBoshNLx93u5OdjkTFsOZSCa2v3MS3Q4vbl9YEvX9p0TJZtSp8Y1bKhEISvjtm/W8\nejtKDGciGTh4shMfH21HySQTbl9YmuxyiGIyd7oVV1Va0XC+Dx8cak12ORMSw5koyRxuH377Vj1U\nSgW+fftMTqdJKWHVounQZSjxx/cb0OP0JrucCYd/BYiSSJIkvPhmPZz9fqz4cgUm5xqSXRJRXGSZ\nMrDixgoMeIPY/s7JZJcz4TCciZJo54GzONRgx8zSLCy6qjDZ5RDF1Y1zp2DqFAs+PdGJQw32ZJcz\noTCciZLkTKsDf3j/NMwGDb59RzUUvG2KUoxCEPCNpZVQKgS89LcT8PgCyS5pwuC9GpTWRFGEy+WM\n6TWMRhMUisje5/Z7/Nj6l6MQRQn/646ZsBg0MdVAJFeFViOWXlOMv+5txqsfNmLlzdOSXdKEwHCm\ntOZyObFzXwN0+ujO9Q70u7H4mqkwm8O/9Skoivj168dh7/PgjoWlmFmaHVXbRBPFHQtLcaC+Azs/\nPYtrq/NROsmc7JJkj8PalPZ0egP0BlNU/yINdUmS8Nu3TuBQgx3VpVn42nWliflPEcmIRq3EN26p\nhCQBv33zBKf2DAPDmWgc/emDM/jocBtKJ5nwD8uugDLC4XCiiWpmaTYW1kxCs82JnQfOJbsc2eNf\nBqJxIEkS/rq3CW980oz8bD3+6Z7ZnJ6T0s69N02FUafGK7tPo8UW27UeqY7hTJRgHl8Av9xxDH/6\n4AyyTBn453tnw6znBWCUfkx6DdbfVoVAUMLWv9TB6wsmuyTZYjgTJVCr3Y2n/vvv2HfMhqlTLNj4\njauQa9EluyyipJk9NRdL5hehvbsfL+3k5CQj4bgaUQK02EJL5u0/3gFRkrBoXiHuuWkqp+YkArD8\nxgqcaOnFR0faUFWahQXVXLf8ixjORBGQJAmiKCEoShAlCf3eIOx9Xji9LrR19eNMmwMN5/vQcK4P\nADDFasDXryvHvEprkisnkg+1SoH/fWc1nnjxAF58sx45Zi2mF2UmuyxZYTgTXSBJEvrcPnT2etDt\n8MA94IfbE8CAN4BAUERQlDDc6ndv7Ldd8rkAYEZxJpZeU4wrynMgcOYvosvkZ+vxD1+vwc/+eBg/\n++NhbFhzJQqtxmSXJRsMZ0prbk8AzR396OhzotXuhj9w6f2XKqUAvVYNg1YFhUKAQiFAqRCgEEIf\nJTGISTl66HVaWC1alBWYUTLJxCuxicJwRXkO1t06A79+/Tj+4/e1eGzNPORYtMkuSxb4F4TSjtcX\nxGenOrGnrh3HGrshXjgaNurUKMozIjdTi1yLDia9GhqVYtQj3363E9ddURDRDGFEdNHCmgI43H78\n/r0G/Ov2g3hoxWyuzgaGM6WJQFDEsaYe7DvWjoMn7fD6Q7dwFFn1sBiUKJ+SA4tRwyFooiRYek0x\nvP4g/vJRI57e9ike+Fo1ZlXkJruspGI4U8qSJAmnzzuw91g7DhzvgGvADwDItWixpLoI11bnw6AO\n4KMjbdAbMpJcLVF6u/O6MuRn6/Bfb9Tjp384jGU3lGPpNcVpe4cDwzlFxLq6UjQrK8mR1x/EqbO9\nONrYjYMnO2Hv8wAAzHo1bp5XiGtn5qN8snnoCNnh6EtmuUT0OdfOnIT8LD1+/qfDeGX3Geyta8fK\nm6fhivKcZJc27qIKZ1EU8cQTT+DkyZNQq9V4+umnUVxcHO/aKAKxrK4UzcpK8RTpGwuNRoTD4YTX\nH0SXw4cet4RmmwtNbQ6caXMiEAxd1JWhUWJhzSRcOzMfVaVZnMeaaAIoKzBj8/1X49UPG/H+ofP4\nj9/Xoro0CzfOmYI503LT5kg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" ] }, "metadata": {}, @@ -1481,14 +1595,15 @@ " (training_inputs,\n", " testing_inputs,\n", " training_classes,\n", - " testing_classes) = train_test_split(all_inputs, all_classes, train_size=0.75)\n", + " testing_classes) = train_test_split(all_inputs, all_labels, test_size=0.25)\n", " \n", " decision_tree_classifier = DecisionTreeClassifier()\n", " decision_tree_classifier.fit(training_inputs, training_classes)\n", " classifier_accuracy = decision_tree_classifier.score(testing_inputs, testing_classes)\n", " model_accuracies.append(classifier_accuracy)\n", " \n", - "sb.distplot(model_accuracies)" + "plt.hist(model_accuracies)\n", + ";" ] }, { @@ -1497,7 +1612,9 @@ "source": [ "It's obviously a problem that our model performs quite differently depending on the subset of the data it's trained on. This phenomenon is known as **overfitting**: The model is learning to classify the training set so well that it doesn't generalize and perform well on data it hasn't seen before.\n", "\n", - "###Cross-validation\n", + "### Cross-validation\n", + "\n", + "[[ go back to the top ]](#Table-of-contents)\n", "\n", "This problem is the main reason that most data scientists perform ***k*-fold cross-validation** on their models: Split the original data set into *k* subsets, use one of the subsets as the testing set, and the rest of the subsets are used as the training set. This process is then repeated *k* times such that each subset is used as the testing set exactly once.\n", "\n", @@ -1508,16 +1625,14 @@ }, { "cell_type": "code", - "execution_count": 28, - "metadata": { - "collapsed": false - }, + "execution_count": 26, + "metadata": {}, "outputs": [ { "data": { - "image/png": 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"text/plain": [ - "" + "
" ] }, "metadata": {}, @@ -1526,52 +1641,52 @@ ], "source": [ "import numpy as np\n", - "from sklearn.cross_validation import StratifiedKFold\n", + "from sklearn.model_selection import StratifiedKFold\n", "\n", - "def plot_cv(cv, n_samples):\n", + "def plot_cv(cv, features, labels):\n", " masks = []\n", - " for train, test in cv:\n", - " mask = np.zeros(n_samples, dtype=bool)\n", + " for train, test in cv.split(features, labels):\n", + " mask = np.zeros(len(labels), dtype=bool)\n", " mask[test] = 1\n", " masks.append(mask)\n", - " \n", + " \n", " plt.figure(figsize=(15, 15))\n", - " plt.imshow(masks, interpolation='none')\n", + " plt.imshow(masks, interpolation='none', cmap='gray_r')\n", " plt.ylabel('Fold')\n", " plt.xlabel('Row #')\n", "\n", - "plot_cv(StratifiedKFold(all_classes, n_folds=10), len(all_classes))" + "plot_cv(StratifiedKFold(n_splits=10), all_inputs, all_labels)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ + "You'll notice that we used **Stratified *k*-fold cross-validation** in the code above. Stratified *k*-fold keeps the class proportions the same across all of the folds, which is vital for maintaining a representative subset of our data set. (e.g., so we don't have 100% `Iris setosa` entries in one of the folds.)\n", + "\n", "We can perform 10-fold cross-validation on our model with the following code:" ] }, { "cell_type": "code", - "execution_count": 29, - "metadata": { - "collapsed": false - }, + "execution_count": 27, + "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "" + "''" ] }, - "execution_count": 29, + "execution_count": 27, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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TQ0JCgtlRpAtq8x5zY2MjLpcLgPj4eHw+H8Fg8IT3qaiob1+6EJCWFhe24w/nsUP7xl9X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\nXvsnEhcXd9T/jdfrJT4+PqRe+8dzrLE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"text/plain": [ - "" + "
" ] }, "metadata": {}, @@ -1579,15 +1694,16 @@ } ], "source": [ - "from sklearn.cross_validation import cross_val_score\n", + "from sklearn.model_selection import cross_val_score\n", "\n", "decision_tree_classifier = DecisionTreeClassifier()\n", "\n", "# cross_val_score returns a list of the scores, which we can visualize\n", "# to get a reasonable estimate of our classifier's performance\n", - "cv_scores = cross_val_score(decision_tree_classifier, all_inputs, all_classes, cv=10)\n", - "sb.distplot(cv_scores)\n", - "plt.title('Average score: {}'.format(np.mean(cv_scores)))" + "cv_scores = cross_val_score(decision_tree_classifier, all_inputs, all_labels, cv=10)\n", + "plt.hist(cv_scores)\n", + "plt.title('Average score: {}'.format(np.mean(cv_scores)))\n", + ";" ] }, { @@ -1596,33 +1712,33 @@ "source": [ "Now we have a much more consistent rating of our classifier's general classification accuracy.\n", "\n", - "###Parameter tuning\n", + "### Parameter tuning\n", + "\n", + "[[ go back to the top ]](#Table-of-contents)\n", "\n", "Every Machine Learning model comes with a variety of parameters to tune, and these parameters can be vitally important to the performance of our classifier. For example, if we severely limit the depth of our decision tree classifier:" ] }, { "cell_type": "code", - "execution_count": 30, - "metadata": { - "collapsed": false - }, + "execution_count": 28, + "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "" + "''" ] }, - "execution_count": 30, + "execution_count": 28, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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" ] }, "metadata": {}, @@ -1632,9 +1748,10 @@ "source": [ "decision_tree_classifier = DecisionTreeClassifier(max_depth=1)\n", "\n", - "cv_scores = cross_val_score(decision_tree_classifier, all_inputs, all_classes, cv=10)\n", - "sb.distplot(cv_scores, kde=False)\n", - "plt.title('Average score: {}'.format(np.mean(cv_scores)))" + "cv_scores = cross_val_score(decision_tree_classifier, all_inputs, all_labels, cv=10)\n", + "plt.hist(cv_scores)\n", + "plt.title('Average score: {}'.format(np.mean(cv_scores)))\n", + ";" ] }, { @@ -1652,35 +1769,33 @@ }, { "cell_type": "code", - "execution_count": 31, - "metadata": { - "collapsed": false - }, + "execution_count": 29, + "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Best score: 0.959731543624161\n", - "Best parameters: {'max_features': 4, 'max_depth': 3}\n" + "Best parameters: {'max_depth': 3, 'max_features': 3}\n" ] } ], "source": [ - "from sklearn.grid_search import GridSearchCV\n", + "from sklearn.model_selection import GridSearchCV\n", "\n", "decision_tree_classifier = DecisionTreeClassifier()\n", "\n", "parameter_grid = {'max_depth': [1, 2, 3, 4, 5],\n", " 'max_features': [1, 2, 3, 4]}\n", "\n", - "cross_validation = StratifiedKFold(all_classes, n_folds=10)\n", + "cross_validation = StratifiedKFold(n_splits=10)\n", "\n", "grid_search = GridSearchCV(decision_tree_classifier,\n", " param_grid=parameter_grid,\n", " cv=cross_validation)\n", "\n", - "grid_search.fit(all_inputs, all_classes)\n", + "grid_search.fit(all_inputs, all_labels)\n", "print('Best score: {}'.format(grid_search.best_score_))\n", "print('Best parameters: {}'.format(grid_search.best_params_))" ] @@ -1694,26 +1809,24 @@ }, { "cell_type": "code", - "execution_count": 32, - "metadata": { - "collapsed": false - }, + "execution_count": 30, + "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "" + "''" ] }, - "execution_count": 32, + "execution_count": 30, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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06CFJ2rZtm1q1anVusLBahwMANDJuvmiy1tqnTZum5ORk7d+/XwcPHtR9992nyZMnS5K+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\nFZM/JjAAAAAASUVORK5CYII=\n", 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\n", "text/plain": [ - "" + "
" ] }, "metadata": {}, @@ -1721,18 +1834,14 @@ } ], "source": [ - "grid_visualization = []\n", - "\n", - "for grid_pair in grid_search.grid_scores_:\n", - " grid_visualization.append(grid_pair.mean_validation_score)\n", - " \n", - "grid_visualization = np.array(grid_visualization)\n", + "grid_visualization = grid_search.cv_results_['mean_test_score']\n", "grid_visualization.shape = (5, 4)\n", - "sb.heatmap(grid_visualization, cmap='Blues')\n", + "sb.heatmap(grid_visualization, cmap='Blues', annot=True)\n", "plt.xticks(np.arange(4) + 0.5, grid_search.param_grid['max_features'])\n", - "plt.yticks(np.arange(5) + 0.5, grid_search.param_grid['max_depth'][::-1])\n", + "plt.yticks(np.arange(5) + 0.5, grid_search.param_grid['max_depth'])\n", "plt.xlabel('max_features')\n", - "plt.ylabel('max_depth')" + "plt.ylabel('max_depth')\n", + ";" ] }, { @@ -1748,17 +1857,15 @@ }, { "cell_type": "code", - "execution_count": 33, - "metadata": { - "collapsed": false - }, + "execution_count": 31, + "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "Best score: 0.959731543624161\n", - "Best parameters: {'max_features': 4, 'max_depth': 3, 'splitter': 'best', 'criterion': 'gini'}\n" + "Best score: 0.9664429530201343\n", + "Best parameters: {'criterion': 'entropy', 'max_depth': 3, 'max_features': 3, 'splitter': 'best'}\n" ] } ], @@ -1770,13 +1877,13 @@ " 'max_depth': [1, 2, 3, 4, 5],\n", " 'max_features': [1, 2, 3, 4]}\n", "\n", - "cross_validation = StratifiedKFold(all_classes, n_folds=10)\n", + "cross_validation = StratifiedKFold(n_splits=10)\n", "\n", "grid_search = GridSearchCV(decision_tree_classifier,\n", " param_grid=parameter_grid,\n", " cv=cross_validation)\n", "\n", - "grid_search.fit(all_inputs, all_classes)\n", + "grid_search.fit(all_inputs, all_labels)\n", "print('Best score: {}'.format(grid_search.best_score_))\n", "print('Best parameters: {}'.format(grid_search.best_params_))" ] @@ -1790,21 +1897,20 @@ }, { "cell_type": "code", - "execution_count": 34, - "metadata": { - "collapsed": false - }, + "execution_count": 32, + "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "DecisionTreeClassifier(class_weight=None, criterion='gini', max_depth=3,\n", - " max_features=4, max_leaf_nodes=None, min_samples_leaf=1,\n", + "DecisionTreeClassifier(class_weight=None, criterion='entropy', max_depth=3,\n", + " max_features=3, max_leaf_nodes=None, min_impurity_decrease=0.0,\n", + " min_impurity_split=None, min_samples_leaf=1,\n", " min_samples_split=2, min_weight_fraction_leaf=0.0,\n", - " random_state=None, splitter='best')" + " presort=False, random_state=None, splitter='best')" ] }, - "execution_count": 34, + "execution_count": 32, "metadata": {}, "output_type": "execute_result" } @@ -1823,10 +1929,8 @@ }, { "cell_type": "code", - "execution_count": 35, - "metadata": { - "collapsed": false - }, + "execution_count": 33, + "metadata": {}, "outputs": [], "source": [ "import sklearn.tree as tree\n", @@ -1838,9 +1942,7 @@ }, { "cell_type": "markdown", - "metadata": { - "collapsed": false - }, + "metadata": {}, "source": [ "" ] @@ -1849,31 +1951,31 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "Alright! We finally have our demo classifier. Let's create some visuals of its performance so we have something to show our head of data." + "(This classifier may look familiar from earlier in the notebook.)\n", + "\n", + "Alright! We finally have our demo classifier. Let's create some visuals of its performance so we have something to show our company's Head of Data." ] }, { "cell_type": "code", - "execution_count": 37, - "metadata": { - "collapsed": false - }, + "execution_count": 34, + "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "" + "''" ] }, - "execution_count": 37, + "execution_count": 34, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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"text/plain": [ - "" + "
" ] }, "metadata": {}, @@ -1881,10 +1983,11 @@ } ], "source": [ - "rf_scores = cross_val_score(decision_tree_classifier, all_inputs, all_classes, cv=10)\n", + "dt_scores = cross_val_score(decision_tree_classifier, all_inputs, all_labels, cv=10)\n", "\n", - "sb.boxplot(rf_scores)\n", - "sb.stripplot(rf_scores, jitter=True, color='white')" + "sb.boxplot(dt_scores)\n", + "sb.stripplot(dt_scores, jitter=True, color='black')\n", + ";" ] }, { @@ -1893,9 +1996,11 @@ "source": [ "Hmmm... that's a little boring by itself though. How about we compare another classifier to see how they perform?\n", "\n", - "We already know from previous projects that Random Forest classifiers usually work better than individual decision trees. A common problem that decision trees face is that they're prone to overfitting: They complexify to the point that they classify the training set near-perfectly, but fail to generalize.\n", + "We already know from previous projects that Random Forest classifiers usually work better than individual decision trees. A common problem that decision trees face is that they're prone to overfitting: They complexify to the point that they classify the training set near-perfectly, but fail to generalize to data they have not seen before.\n", + "\n", + "**Random Forest classifiers** work around that limitation by creating a whole bunch of decision trees (hence \"forest\") — each trained on random subsets of training samples (drawn with replacement) and features (drawn without replacement) — and have the decision trees work together to make a more accurate classification.\n", "\n", - "**Random Forests** work around that limitation by creating a whole bunch of decision trees (hence \"forest\") — each with a subset of the features — and have the decision trees work together to make a better classification. Let that be a lesson to you: **Even in Machine Learning, you get better results when you work together!**\n", + "Let that be a lesson for us: **Even in Machine Learning, we get better results when we work together!**\n", "\n", "Let's see if a Random Forest classifier works better here.\n", "\n", @@ -1904,30 +2009,30 @@ }, { "cell_type": "code", - "execution_count": 40, - "metadata": { - "collapsed": false - }, + "execution_count": 35, + "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "Best score: 0.9731543624161074\n", - "Best parameters: {'n_estimators': 5, 'max_features': 3, 'warm_start': True, 'criterion': 'gini'}\n" + "Best score: 0.9664429530201343\n", + "Best parameters: {'criterion': 'gini', 'max_features': 1, 'n_estimators': 25}\n" ] }, { "data": { "text/plain": [ "RandomForestClassifier(bootstrap=True, class_weight=None, criterion='gini',\n", - " max_depth=None, max_features=3, max_leaf_nodes=None,\n", + " max_depth=None, max_features=1, max_leaf_nodes=None,\n", + " min_impurity_decrease=0.0, min_impurity_split=None,\n", " min_samples_leaf=1, min_samples_split=2,\n", - " min_weight_fraction_leaf=0.0, n_estimators=5, n_jobs=1,\n", - " oob_score=False, random_state=None, verbose=0, warm_start=True)" + " min_weight_fraction_leaf=0.0, n_estimators=25, n_jobs=1,\n", + " oob_score=False, random_state=None, verbose=0,\n", + " warm_start=False)" ] }, - "execution_count": 40, + "execution_count": 35, "metadata": {}, "output_type": "execute_result" } @@ -1937,18 +2042,17 @@ "\n", "random_forest_classifier = RandomForestClassifier()\n", "\n", - "parameter_grid = {'n_estimators': [5, 10, 25, 50],\n", + "parameter_grid = {'n_estimators': [10, 25, 50, 100],\n", " 'criterion': ['gini', 'entropy'],\n", - " 'max_features': [1, 2, 3, 4],\n", - " 'warm_start': [True, False]}\n", + " 'max_features': [1, 2, 3, 4]}\n", "\n", - "cross_validation = StratifiedKFold(all_classes, n_folds=10)\n", + "cross_validation = StratifiedKFold(n_splits=10)\n", "\n", "grid_search = GridSearchCV(random_forest_classifier,\n", " param_grid=parameter_grid,\n", " cv=cross_validation)\n", "\n", - "grid_search.fit(all_inputs, all_classes)\n", + "grid_search.fit(all_inputs, all_labels)\n", "print('Best score: {}'.format(grid_search.best_score_))\n", "print('Best parameters: {}'.format(grid_search.best_params_))\n", "\n", @@ -1964,26 +2068,24 @@ }, { "cell_type": "code", - "execution_count": 42, - "metadata": { - "collapsed": false - }, + "execution_count": 36, + "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "" + "''" ] }, - "execution_count": 42, + "execution_count": 36, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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wtru91y1Hha109PgxDOOoZYfDIX8fP6X2+u1p7eNwkHsD/Qinsg+0Dmbqx1D+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\nBECvAAAAAElFTkSuQmCC\n", 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\n", "text/plain": [ - "" + "
" ] }, "metadata": {}, @@ -1993,14 +2095,15 @@ "source": [ "random_forest_classifier = grid_search.best_estimator_\n", "\n", - "rf_df = pd.DataFrame({'accuracy': cross_val_score(random_forest_classifier, all_inputs, all_classes, cv=10),\n", + "rf_df = pd.DataFrame({'accuracy': cross_val_score(random_forest_classifier, all_inputs, all_labels, cv=10),\n", " 'classifier': ['Random Forest'] * 10})\n", - "dt_df = pd.DataFrame({'accuracy': cross_val_score(decision_tree_classifier, all_inputs, all_classes, cv=10),\n", + "dt_df = pd.DataFrame({'accuracy': cross_val_score(decision_tree_classifier, all_inputs, all_labels, cv=10),\n", " 'classifier': ['Decision Tree'] * 10})\n", "both_df = rf_df.append(dt_df)\n", "\n", "sb.boxplot(x='classifier', y='accuracy', data=both_df)\n", - "sb.stripplot(x='classifier', y='accuracy', data=both_df, jitter=True, color='white')" + "sb.stripplot(x='classifier', y='accuracy', data=both_df, jitter=True, color='black')\n", + ";" ] }, { @@ -2014,11 +2117,13 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "##Step 6: Reproducibility\n", + "## Step 6: Reproducibility\n", + "\n", + "[[ go back to the top ]](#Table-of-contents)\n", "\n", - "Ensuring that your work is reproducible is the last and — arguably — most important step in any analysis. **As a rule, you shouldn't place much weight on a discovery that can't be reproduced**. As such, if your analysis isn't reproducible, you might as well not have done it.\n", + "Ensuring that our work is reproducible is the last and — arguably — most important step in any analysis. **As a rule, we shouldn't place much weight on a discovery that can't be reproduced**. As such, if our analysis isn't reproducible, we might as well not have done it.\n", "\n", - "Notebooks like this one go a long way toward making your work reproducible. Since we documented every step as we moved along, we have a written record of what we did and why we did it — both in text and code.\n", + "Notebooks like this one go a long way toward making our work reproducible. Since we documented every step as we moved along, we have a written record of what we did and why we did it — both in text and code.\n", "\n", "Beyond recording what we did, we should also document what software and hardware we used to perform our analysis. This typically goes at the top of our notebooks so our readers know what tools to use.\n", "\n", @@ -2027,60 +2132,27 @@ }, { "cell_type": "code", - "execution_count": 43, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Installed watermark.py. To use it, type:\n", - " %load_ext watermark\n" - ] - } - ], - "source": [ - "%install_ext https://raw.githubusercontent.com/rasbt/watermark/master/watermark.py" - ] - }, - { - "cell_type": "code", - "execution_count": 44, - "metadata": { - "collapsed": false - }, - "outputs": [], - "source": [ - "%load_ext watermark" - ] - }, - { - "cell_type": "code", - "execution_count": 45, - "metadata": { - "collapsed": false - }, + "execution_count": 38, + "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "Randal S. Olson Fri Aug 21 2015 \n", + "Randal S. Olson Thu Jul 12 2018 \n", "\n", - "CPython 3.4.3\n", - "IPython 3.2.1\n", + "CPython 3.6.6\n", + "IPython 6.4.0\n", "\n", - "numpy 1.9.2\n", - "pandas 0.16.2\n", - "scikit-learn 0.16.1\n", - "matplotlib 1.4.3\n", - "Seaborn 0.6.0\n", + "numpy 1.12.1\n", + "pandas 0.23.1\n", + "sklearn 0.19.1\n", + "matplotlib 2.2.2\n", + "seaborn 0.8.1\n", "\n", - "compiler : GCC 4.2.1 (Apple Inc. build 5577)\n", + "compiler : GCC 4.2.1 Compatible Clang 4.0.1 (tags/RELEASE_401/final)\n", "system : Darwin\n", - "release : 14.5.0\n", + "release : 17.6.0\n", "machine : x86_64\n", "processor : i386\n", "CPU cores : 8\n", @@ -2089,7 +2161,7 @@ } ], "source": [ - "%watermark -a 'Randal S. Olson' -nmv --packages numpy,pandas,scikit-learn,matplotlib,Seaborn" + "%watermark -a 'Randal S. Olson' -nmv --packages numpy,pandas,sklearn,matplotlib,seaborn" ] }, { @@ -2101,32 +2173,30 @@ }, { "cell_type": "code", - "execution_count": 46, - "metadata": { - "collapsed": false - }, + "execution_count": 39, + "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "[ 4.6 3.6 1. 0.2]\t-->\tIris-setosa\t(Actual: Iris-setosa)\n", - "[ 5.2 2.7 3.9 1.4]\t-->\tIris-versicolor\t(Actual: Iris-versicolor)\n", - "[ 7.1 3. 5.9 2.1]\t-->\tIris-virginica\t(Actual: Iris-virginica)\n", - "[ 6.3 3.3 4.7 1.6]\t-->\tIris-versicolor\t(Actual: Iris-versicolor)\n", - "[ 6.7 3.3 5.7 2.5]\t-->\tIris-virginica\t(Actual: Iris-virginica)\n", + "[ 7.2 3.6 6.1 2.5]\t-->\tIris-virginica\t(Actual: Iris-virginica)\n", + "[ 7.4 2.8 6.1 1.9]\t-->\tIris-virginica\t(Actual: Iris-virginica)\n", + "[ 5.8 2.7 5.1 1.9]\t-->\tIris-virginica\t(Actual: Iris-virginica)\n", + "[ 6.1 2.6 5.6 1.4]\t-->\tIris-virginica\t(Actual: Iris-virginica)\n", "[ 6.9 3.1 5.4 2.1]\t-->\tIris-virginica\t(Actual: Iris-virginica)\n", - "[ 5.1 3.3 1.7 0.5]\t-->\tIris-setosa\t(Actual: Iris-setosa)\n", - "[ 6.3 2.8 5.1 1.5]\t-->\tIris-versicolor\t(Actual: Iris-virginica)\n", - "[ 5.2 3.4 1.4 0.2]\t-->\tIris-setosa\t(Actual: Iris-setosa)\n", - "[ 6.1 2.6 5.6 1.4]\t-->\tIris-virginica\t(Actual: Iris-virginica)\n" + "[ 4.9 3. 1.4 0.2]\t-->\tIris-setosa\t(Actual: Iris-setosa)\n", + "[ 5.1 3.7 1.5 0.4]\t-->\tIris-setosa\t(Actual: Iris-setosa)\n", + "[ 5. 3.2 1.2 0.2]\t-->\tIris-setosa\t(Actual: Iris-setosa)\n", + "[ 5.8 2.6 4. 1.2]\t-->\tIris-versicolor\t(Actual: Iris-versicolor)\n", + "[ 5.5 2.6 4.4 1.2]\t-->\tIris-versicolor\t(Actual: Iris-versicolor)\n" ] }, { "data": { - "image/png": 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" ] }, "metadata": {}, @@ -2138,8 +2208,7 @@ "import pandas as pd\n", "import seaborn as sb\n", "from sklearn.ensemble import RandomForestClassifier\n", - "from sklearn.cross_validation import train_test_split\n", - "from sklearn.cross_validation import cross_val_score\n", + "from sklearn.model_selection import train_test_split, cross_val_score\n", "\n", "# We can jump directly to working with the clean data because we saved our cleaned data set\n", "iris_data_clean = pd.read_csv('iris-data-clean.csv')\n", @@ -2161,25 +2230,21 @@ "all_inputs = iris_data_clean[['sepal_length_cm', 'sepal_width_cm',\n", " 'petal_length_cm', 'petal_width_cm']].values\n", "\n", - "all_classes = iris_data_clean['class'].values\n", + "all_labels = iris_data_clean['class'].values\n", "\n", "# This is the classifier that came out of Grid Search\n", - "random_forest_classifier = RandomForestClassifier(bootstrap=True, class_weight=None, criterion='gini',\n", - " max_depth=None, max_features=3, max_leaf_nodes=None,\n", - " min_samples_leaf=1, min_samples_split=2,\n", - " min_weight_fraction_leaf=0.0, n_estimators=5, n_jobs=1,\n", - " oob_score=False, random_state=None, verbose=0, warm_start=True)\n", + "random_forest_classifier = RandomForestClassifier(criterion='gini', max_features=3, n_estimators=50)\n", "\n", "# All that's left to do now is plot the cross-validation scores\n", - "rf_classifier_scores = cross_val_score(random_forest_classifier, all_inputs, all_classes, cv=10)\n", + "rf_classifier_scores = cross_val_score(random_forest_classifier, all_inputs, all_labels, cv=10)\n", "sb.boxplot(rf_classifier_scores)\n", - "sb.stripplot(rf_classifier_scores, jitter=True, color='white')\n", + "sb.stripplot(rf_classifier_scores, jitter=True, color='black')\n", "\n", "# ...and show some of the predictions from the classifier\n", "(training_inputs,\n", " testing_inputs,\n", " training_classes,\n", - " testing_classes) = train_test_split(all_inputs, all_classes, train_size=0.75)\n", + " testing_classes) = train_test_split(all_inputs, all_labels, test_size=0.25)\n", "\n", "random_forest_classifier.fit(training_inputs, training_classes)\n", "\n", @@ -2193,11 +2258,16 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "There you have it: We have a complete and reproducible Machine Learning pipeline to demo to our head of data. We've met the success criteria that we set from the beginning (>90% accuracy), and our pipeline is flexible enough to handle new inputs or flowers when that data set is ready. Not bad for our first week on the job!\n", - "\n", - "---\n", + "There we have it: We have a complete and reproducible Machine Learning pipeline to demo to our company's Head of Data. We've met the success criteria that we set from the beginning (>90% accuracy), and our pipeline is flexible enough to handle new inputs or flowers when that data set is ready. Not bad for our first week on the job!" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Conclusions\n", "\n", - "##Conclusions\n", + "[[ go back to the top ]](#Table-of-contents)\n", "\n", "I hope you found this example notebook useful for your own work and learned at least one new trick by reading through it.\n", "\n", @@ -2209,17 +2279,24 @@ "\n", "* [Submit an issue](https://github.com/rhiever/Data-Analysis-and-Machine-Learning-Projects/issues) on GitHub\n", "\n", - "* Fork the [notebook repository](https://github.com/rhiever/Data-Analysis-and-Machine-Learning-Projects/), make the fix/addition yourself, then send over a pull request\n", + "* Fork the [notebook repository](https://github.com/rhiever/Data-Analysis-and-Machine-Learning-Projects/), make the fix/addition yourself, then send over a pull request" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Further reading\n", "\n", - "##Further reading\n", + "[[ go back to the top ]](#Table-of-contents)\n", "\n", "This notebook covers a broad variety of topics but skips over many of the specifics. If you're looking to dive deeper into a particular topic, here's some recommended reading.\n", "\n", "**Data Science**: William Chen compiled a [list of free books](http://www.wzchen.com/data-science-books/) for newcomers to Data Science, ranging from the basics of R & Python to Machine Learning to interviews and advice from prominent data scientists.\n", "\n", - "**Machine Learning**: /r/MachineLearning has a useful [Wiki page](https://www.reddit.com/r/MachineLearning/wiki/index) containing links to online courses, books, data sets, etc. for Machine Learning.\n", + "**Machine Learning**: /r/MachineLearning has a useful [Wiki page](https://www.reddit.com/r/MachineLearning/wiki/index) containing links to online courses, books, data sets, etc. for Machine Learning. There's also a [curated list](https://github.com/josephmisiti/awesome-machine-learning) of Machine Learning frameworks, libraries, and software sorted by language.\n", "\n", - "**Unit testing**: Dive Into Python 3 has a [great walkthrough](http://www.diveintopython3.net/unit-testing.html) of unit testing in Python, how it works, and how it should be used\n", + "**Unit testing**: Dive Into Python 3 has a [great walkthrough](https://www.diveinto.org/python3/unit-testing.html) of unit testing in Python, how it works, and how it should be used\n", "\n", "**pandas** has [several tutorials](http://pandas.pydata.org/pandas-docs/stable/tutorials.html) covering its myriad features.\n", "\n", @@ -2227,9 +2304,16 @@ "\n", "**matplotlib** has many [books, videos, and tutorials](http://matplotlib.org/resources/index.html) to teach plotting in Python.\n", "\n", - "**Seaborn** has a [basic tutorial](http://stanford.edu/~mwaskom/software/seaborn/tutorial.html) covering most of the statistical plotting features.\n", + "**Seaborn** has a [basic tutorial](http://stanford.edu/~mwaskom/software/seaborn/tutorial.html) covering most of the statistical plotting features." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Acknowledgements\n", "\n", - "##Acknowledgements\n", + "[[ go back to the top ]](#Table-of-contents)\n", "\n", "Many thanks to [Andreas Mueller](http://amueller.github.io/) for some of his [examples](https://github.com/amueller/scipy_2015_sklearn_tutorial) in the Machine Learning section. I drew inspiration from several of his excellent examples.\n", "\n", @@ -2255,9 +2339,9 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.4.3" + "version": "3.6.6" } }, "nbformat": 4, - "nbformat_minor": 0 + "nbformat_minor": 1 } diff --git a/example-data-science-notebook/iris_dtc.dot b/example-data-science-notebook/iris_dtc.dot index 48f3903..6df575d 100644 --- a/example-data-science-notebook/iris_dtc.dot +++ b/example-data-science-notebook/iris_dtc.dot @@ -1,19 +1,20 @@ digraph Tree { -0 [label="X[2] <= 2.4500\ngini = 0.666636637989\nsamples = 149", shape="box"] ; -1 [label="gini = 0.0000\nsamples = 49\nvalue = [ 49. 0. 0.]", shape="box"] ; -0 -> 1 ; -2 [label="X[3] <= 1.7500\ngini = 0.5\nsamples = 100", shape="box"] ; -0 -> 2 ; -3 [label="X[2] <= 4.9500\ngini = 0.168038408779\nsamples = 54", shape="box"] ; +node [shape=box] ; +0 [label="X[2] <= 2.45\nentropy = 1.585\nsamples = 149\nvalue = [49, 50, 50]"] ; +1 [label="entropy = 0.0\nsamples = 49\nvalue = [49, 0, 0]"] ; +0 -> 1 [labeldistance=2.5, labelangle=45, headlabel="True"] ; +2 [label="X[3] <= 1.75\nentropy = 1.0\nsamples = 100\nvalue = [0, 50, 50]"] ; +0 -> 2 [labeldistance=2.5, labelangle=-45, headlabel="False"] ; +3 [label="X[3] <= 1.35\nentropy = 0.445\nsamples = 54\nvalue = [0, 49, 5]"] ; 2 -> 3 ; -4 [label="gini = 0.0408\nsamples = 48\nvalue = [ 0. 47. 1.]", shape="box"] ; +4 [label="entropy = 0.0\nsamples = 28\nvalue = [0, 28, 0]"] ; 3 -> 4 ; -5 [label="gini = 0.4444\nsamples = 6\nvalue = [ 0. 2. 4.]", shape="box"] ; +5 [label="entropy = 0.706\nsamples = 26\nvalue = [0, 21, 5]"] ; 3 -> 5 ; -6 [label="X[2] <= 4.8500\ngini = 0.0425330812854\nsamples = 46", shape="box"] ; +6 [label="X[2] <= 4.85\nentropy = 0.151\nsamples = 46\nvalue = [0, 1, 45]"] ; 2 -> 6 ; -7 [label="gini = 0.4444\nsamples = 3\nvalue = [ 0. 1. 2.]", shape="box"] ; +7 [label="entropy = 0.918\nsamples = 3\nvalue = [0, 1, 2]"] ; 6 -> 7 ; -8 [label="gini = 0.0000\nsamples = 43\nvalue = [ 0. 0. 43.]", shape="box"] ; +8 [label="entropy = 0.0\nsamples = 43\nvalue = [0, 0, 43]"] ; 6 -> 8 ; } \ No newline at end of file diff --git a/follower-factory/Twitter Follower Factory.ipynb b/follower-factory/Twitter Follower Factory.ipynb new file mode 100644 index 0000000..e092d44 --- /dev/null +++ b/follower-factory/Twitter Follower Factory.ipynb @@ -0,0 +1,196 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Twitter Follower Factory analysis script\n", + "\n", + "This Python script was inspired by the New York Times' [Follower Factory article](https://www.nytimes.com/interactive/2018/01/27/technology/social-media-bots.html), which showed that Twitter accounts can be analyzed to discover whether someone has purchased fake followers for that account. This script enables you to analyze any Twitter account and generate a similar scatter plot visualization of their followers. You can typically tell when someone purchased fake followers for an account when there are solid lines of followers that were created around the same time, as shown in the New York Times article.\n", + "\n", + "**Note that you can [execute the code in this notebook on Binder](https://mybinder.org/v2/gh/rhiever/Data-Analysis-and-Machine-Learning-Projects/master?filepath=follower-factory%2FTwitter%2520Follower%2520Factory.ipynb) - no local installation required.**\n", + "\n", + "## Dependencies\n", + "\n", + "You will need to install Python's [python-twitter](https://github.com/sixohsix/twitter/) library:\n", + "\n", + " pip install twitter\n", + "\n", + "You will also need to create an app account on https://dev.twitter.com/apps\n", + "\n", + "1. Sign in with your Twitter account\n", + "2. Create a new app account\n", + "3. Modify the settings for that app account to allow read & write\n", + "4. Generate a new OAuth token with those permissions\n", + "\n", + "Following these steps will create 4 tokens that you will need to place in the script, as discussed below.\n", + "\n", + "## Usage\n", + "\n", + "Before you can run this script, you need to fill in the following 5 variables in the file:\n", + "\n", + "```Python\n", + "USER_TO_ANALYZE = ''\n", + "OAUTH_TOKEN = ''\n", + "OAUTH_SECRET = ''\n", + "CONSUMER_KEY = ''\n", + "CONSUMER_SECRET = ''\n", + "```\n", + "\n", + "`USER_TO_ANALYZE` is straightforward: If you want to analyze my Twitter account, you would enter `randal_olson` in between the two single quotes.\n", + "\n", + "Once you've created the Twitter app account as described under the Dependencies section, you should be able to find the OAUTH and CONSUMER keys on the \"Key and Access Tokens\" section, as shown in the image below.\n", + "\n", + "\n", + "\n", + "Once you've filled out those 5 variables, the script below will handle the rest.\n", + "\n", + "If you're analyzing an account with 100,000s or more of followers, running the script may take a while as the script follows the Twitter API's usage restrictions. A progress bar will keep you updated on the progress of the analysis.\n", + "\n", + "Once the script finishes, it will save an image to the directory that you ran the script in. That image will contain the scatter plot visualization for the account you targeted.\n", + "\n", + "## Security concerns\n", + "\n", + "Although you should be fine with this notebook, you should beware of placing private API keys and security-related information into scripts like this one. If you're particularly paranoid about the security of your Twitter account, you are welcome to review the code below and all of the open source libraries that it relies upon.\n", + "\n", + "If it looks like anything fishy is going on with the API keys, please don't hesitate to [file an issue on this repository](https://github.com/rhiever/Data-Analysis-and-Machine-Learning-Projects/issues/new) and raise your concerns.\n", + "\n", + "## Questions and Comments\n", + "\n", + "If you have any questions or comments, please [file an issue on this repository](https://github.com/rhiever/Data-Analysis-and-Machine-Learning-Projects/issues/new) and I'll get back to you as soon as I can. If you'd like to submit a pull request to improve this script in any way, please file an issue first to discuss your change(s). I'm generally open to accepting pull requests on this repository." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "%matplotlib inline\n", + "from __future__ import print_function\n", + "import time\n", + "from datetime import datetime\n", + "import os\n", + "\n", + "from twitter import Twitter, OAuth, TwitterHTTPError\n", + "from tqdm import tqdm_notebook as tqdm\n", + "import pandas as pd\n", + "import matplotlib.pyplot as plt\n", + "\n", + "USER_TO_ANALYZE = ''\n", + "OAUTH_TOKEN = ''\n", + "OAUTH_SECRET = ''\n", + "CONSUMER_KEY = ''\n", + "CONSUMER_SECRET = ''\n", + "\n", + "twitter_connection = Twitter(auth=OAuth(OAUTH_TOKEN, OAUTH_SECRET, CONSUMER_KEY, CONSUMER_SECRET))\n", + "\n", + "pbar = tqdm()\n", + "pbar.write('Collecting list of Twitter followers for @{}'.format(USER_TO_ANALYZE))\n", + "\n", + "rl_status = twitter_connection.application.rate_limit_status()\n", + "if rl_status['resources']['followers']['/followers/ids']['remaining'] <= 0:\n", + " sleep_until = rl_status['resources']['followers']['/followers/ids']['reset']\n", + " sleep_for = int(sleep_until - time.time()) + 10 # wait a little extra time just in case\n", + " if sleep_for > 0:\n", + " pbar.write('Sleeping for {} seconds...'.format(sleep_for))\n", + " time.sleep(sleep_for)\n", + " pbar.write('Awake!')\n", + "\n", + "followers_status = twitter_connection.followers.ids(screen_name=USER_TO_ANALYZE)\n", + "followers = followers_status['ids']\n", + "next_cursor = followers_status['next_cursor']\n", + "pbar.update(len(followers))\n", + "\n", + "while next_cursor != 0:\n", + " rl_status = twitter_connection.application.rate_limit_status()\n", + " if rl_status['resources']['followers']['/followers/ids']['remaining'] <= 0:\n", + " sleep_until = rl_status['resources']['followers']['/followers/ids']['reset']\n", + " sleep_for = int(sleep_until - time.time()) + 10 # wait a little extra time just in case\n", + " if sleep_for > 0:\n", + " pbar.write('Sleeping for {} seconds...'.format(sleep_for))\n", + " time.sleep(sleep_for)\n", + " pbar.write('Awake!')\n", + "\n", + " followers_status = twitter_connection.followers.ids(screen_name=USER_TO_ANALYZE, cursor=next_cursor)\n", + " # Prevent duplicate Twitter user IDs\n", + " more_followers = [follower for follower in followers_status['ids'] if follower not in followers]\n", + " followers += more_followers\n", + " next_cursor = followers_status['next_cursor']\n", + "\n", + " pbar.update(len(more_followers))\n", + "\n", + "pbar.close()\n", + "\n", + "pbar = tqdm(total=len(followers))\n", + "pbar.write('Collecting join dates of Twitter followers for @{}'.format(USER_TO_ANALYZE))\n", + "followers_created = list()\n", + "\n", + "rl_status = twitter_connection.application.rate_limit_status()\n", + "remaining_calls = rl_status['resources']['users']['/users/lookup']['remaining']\n", + "\n", + "for base_index in range(0, len(followers), 100):\n", + " if remaining_calls == 50:\n", + " # Update the remaining calls count just in case\n", + " rl_status = twitter_connection.application.rate_limit_status()\n", + " remaining_calls = rl_status['resources']['users']['/users/lookup']['remaining']\n", + "\n", + " if remaining_calls <= 0:\n", + " sleep_until = rl_status['resources']['users']['/users/lookup']['reset']\n", + " sleep_for = int(sleep_until - time.time()) + 10 # wait a little extra time just in case\n", + " if sleep_for > 0:\n", + " pbar.write('Sleeping for {} seconds...'.format(sleep_for))\n", + " time.sleep(sleep_for)\n", + " pbar.write('Awake!')\n", + " rl_status = twitter_connection.application.rate_limit_status()\n", + " remaining_calls = rl_status['resources']['users']['/users/lookup']['remaining']\n", + "\n", + " remaining_calls -= 1\n", + "\n", + " # 100 users per request\n", + " user_info = twitter_connection.users.lookup(user_id=list(followers[base_index:base_index + 100]))\n", + " followers_created += [x['created_at'] for x in user_info]\n", + "\n", + " pbar.update(len(followers[base_index:base_index + 100]))\n", + "\n", + "pbar.close()\n", + "print('Creating Follower Factory visualization for @{}'.format(USER_TO_ANALYZE))\n", + "\n", + "days_since_2006 = [(x.year - 2006) * 365 + x.dayofyear for x in pd.to_datetime(followers_created)]\n", + "\n", + "mpl_style_url = 'https://gist.githubusercontent.com/rhiever/d0a7332fe0beebfdc3d5/raw/1b807615235ff6f4c919b5b70b01a609619e1e9c/tableau10.mplstyle'\n", + "alpha = 0.1 * min(9, 80000. / len(days_since_2006))\n", + "with plt.style.context(mpl_style_url):\n", + " plt.figure(figsize=(9, 12))\n", + " plt.scatter(x=range(len(days_since_2006)), y=days_since_2006[::-1], s=2, alpha=alpha)\n", + " plt.yticks(range(0, 365 * (datetime.today().year + 1 - 2006), 365), range(2006, datetime.today().year + 1))\n", + " plt.xlabel('Follower count for @{}'.format(USER_TO_ANALYZE))\n", + " plt.ylabel('Date follower joined Twitter')\n", + " plt.savefig('{}-follower-factory.png'.format(USER_TO_ANALYZE))\n", + "\n", + "print('Follower Factory visualization saved to {}'.format(os.getcwd()))" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.6.5" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/follower-factory/images/twitter-app-example.png b/follower-factory/images/twitter-app-example.png new file mode 100644 index 0000000..1554f46 Binary files /dev/null and b/follower-factory/images/twitter-app-example.png differ diff --git a/optimal-road-trip/Computing the optimal road trip across the U.S..ipynb b/optimal-road-trip/Computing the optimal road trip across the U.S..ipynb index 08b9f12..2854ff0 100644 --- a/optimal-road-trip/Computing the optimal road trip across the U.S..ipynb +++ b/optimal-road-trip/Computing the optimal road trip across the U.S..ipynb @@ -15,9 +15,9 @@ "\n", "### Notebook by [Randal S. Olson](http://www.randalolson.com)\n", "\n", - "Please see the [repository README file](https://github.com/rhiever/Data-Analysis-and-Machine-Learning-Projects#license) for the licenses and usage terms for the instructional material and code in this notebook. In general, I have licensed this material so that it is widely useable and shareable as possible.\n", + "Please see the [repository README file](https://github.com/rhiever/Data-Analysis-and-Machine-Learning-Projects#license) for the licenses and usage terms for the instructional material and code in this notebook. In general, I have licensed this material so that it is as widely useable and shareable as possible.\n", "\n", - "The code in this notebook is also available as a single Python script [here](OptimalRoadTripHtmlSaveAndDisplay.py) courtesy of Andrew Liesinger." + "The code in this notebook is also available as a single Python script [here](https://github.com/rhiever/Data-Analysis-and-Machine-Learning-Projects/blob/master/optimal-road-trip/OptimalRoadTripHtmlSaveAndDisplay.py) courtesy of [Andrew Liesinger](https://github.com/AndrewLiesinger)." ] }, { @@ -31,15 +31,13 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "If you don't have Python on your computer, you can use the [Anaconda Python distribution](http://continuum.io/downloads) to install most of the Python packages you need. Anaconda provides a simple double-click installer for your convenience.\n", + "If you don't have Python on your computer, you can use the [Anaconda Python distribution](https://www.anaconda.com/download/) to install most of the Python packages you need. Anaconda provides a simple double-click installer for your convenience.\n", "\n", "This code uses base Python libraries except for `googlemaps` and `pandas` packages. You can install these packages using `pip` by typing the following commands into your command line:\n", "\n", "> pip install pandas\n", "\n", - "> pip install googlemaps\n", - "\n", - "If you're on a Mac, Linux, or Unix machine, you may need to type `sudo` before the command to install the package with administrator privileges." + "> pip install googlemaps" ] }, { @@ -65,9 +63,7 @@ { "cell_type": "code", "execution_count": 2, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [], "source": [ "all_waypoints = [\"USS Alabama, Battleship Parkway, Mobile, AL\",\n", @@ -126,7 +122,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "Next you'll have to register this script with the Google Maps API so they know who's hitting their servers with hundreds of Google Maps requests.\n", + "Next you'll have to register this script with the Google Maps API so they know who's hitting their servers with hundreds of Google Maps routing requests.\n", "\n", "1) Enable the Google Maps Distance Matrix API on your Google account. Google explains how to do that [here](https://github.com/googlemaps/google-maps-services-python#api-keys).\n", "\n", @@ -136,9 +132,7 @@ { "cell_type": "code", "execution_count": 3, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [], "source": [ "import googlemaps\n", @@ -154,7 +148,7 @@ "\n", "This is equivalent to doing Google Maps directions lookups on the Google Maps site, except now we're performing hundreds of lookups automatically using code.\n", "\n", - "If you get an error on this part, that most likely means one of the waypoints you entered couldn't be found on Google Maps. Another possible reason for an error here is if it's not possible to drive between the points, e.g., finding the driving directions between Hawaii and Florida will return an error." + "If you get an error on this part, that most likely means one of the waypoints you entered couldn't be found on Google Maps. Another possible reason for an error here is if it's not possible to drive between the points, e.g., finding the driving directions between Hawaii and Florida will return an error until we invent flying cars." ] }, { @@ -167,9 +161,7 @@ { "cell_type": "code", "execution_count": 6, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [], "source": [ "from itertools import combinations\n", @@ -203,18 +195,16 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "Now that we have the shortest routes between all of our waypoints, let's save them to a text file so we don't have to bother Google about them again." + "Now that we have the routes between all of our waypoints, let's save them to a text file so we don't have to bother Google about them again." ] }, { "cell_type": "code", "execution_count": 7, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [], "source": [ - "with open(\"my-waypoints-dist-dur.tsv\", \"wb\") as out_file:\n", + "with open(\"my-waypoints-dist-dur.tsv\", \"w\") as out_file:\n", " out_file.write(\"\\t\".join([\"waypoint1\",\n", " \"waypoint2\",\n", " \"distance_m\",\n", @@ -239,15 +229,15 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "Instead of exhaustively looking at every possible solution, genetic algorithms start with a handful of random solutions and continually tinkers with these solutions — always trying something slightly different from the current solutions and keeping the best ones — until they can’t find a better solution any more." + "Instead of exhaustively looking at every possible solution, genetic algorithms start with a handful of random solutions and continually tinkers with these solutions — always trying something slightly different from the current solutions and keeping the best ones — until they can’t find a better solution any more.\n", + "\n", + "Below, all you need to do is make sure that the file name above matches the file name below (both currently `my-waypoints-dist-dur.tsv`) and run the code. The code will read in your route information and use a genetic algorithm to discover an optimized driving route." ] }, { "cell_type": "code", "execution_count": null, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [], "source": [ "import pandas as pd\n", @@ -268,9 +258,7 @@ { "cell_type": "code", "execution_count": 15, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [], "source": [ "import random\n", @@ -356,8 +344,13 @@ "def run_genetic_algorithm(generations=5000, population_size=100):\n", " \"\"\"\n", " The core of the Genetic Algorithm.\n", + " \n", + " `generations` and `population_size` must be a multiple of 10.\n", " \"\"\"\n", " \n", + " population_subset_size = int(population_size / 10.)\n", + " generations_10pct = int(generations / 10.)\n", + " \n", " # Create a random population of `population_size` number of solutions.\n", " population = generate_random_population(population_size)\n", "\n", @@ -373,17 +366,19 @@ "\n", " population_fitness[agent_genome] = compute_fitness(agent_genome)\n", "\n", - " # Take the 10 shortest road trips and produce 10 offspring each from them\n", + " # Take the top 10% shortest road trips and produce offspring each from them\n", " new_population = []\n", - " for rank, agent_genome in enumerate(sorted(population_fitness, key=population_fitness.get)[:10]):\n", - " if (generation % 1000 == 0 or generation == generations - 1) and rank == 0:\n", + " for rank, agent_genome in enumerate(sorted(population_fitness,\n", + " key=population_fitness.get)[:population_subset_size]):\n", + " \n", + " if (generation % generations_10pct == 0 or generation == generations - 1) and rank == 0:\n", " print(\"Generation %d best: %d | Unique genomes: %d\" % (generation,\n", " population_fitness[agent_genome],\n", " len(population_fitness)))\n", " print(agent_genome)\n", " print(\"\")\n", "\n", - " # Create 1 exact copy of each of the top 10 road trips\n", + " # Create 1 exact copy of each of the top road trips\n", " new_population.append(agent_genome)\n", "\n", " # Create 2 offspring with 1-3 point mutations\n", @@ -411,9 +406,7 @@ { "cell_type": "code", "execution_count": 18, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "name": "stdout", @@ -455,94 +448,29 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "**Warning: This part requires a little bit of programming experience.**\n", - "\n", "Now that we have an ordered list of the waypoints, we should put them on a Google map so we can see the trip from a high level and make any extra adjustments.\n", "\n", - "There's no easy way to make this visualization in Python, but the Google team provides a nice JavaScript library for visualizing routes on a Google Map.\n", + "There's no easy way to make this visualization in Python, but the Google Maps team provides a nice JavaScript library for visualizing routes on a Google Map.\n", "\n", - "Here's an example map with the route between 50 waypoints visualized: [link](https://github.com/rhiever/optimal-roadtrip-usa/blob/gh-pages/major-landmarks.html)\n", + "Here's an example map with the route between 50 waypoints visualized: [link](http://rhiever.github.io/optimal-roadtrip-usa/major-landmarks.html)\n", "\n", "The tricky part here is that the JavaScript library only plots routes with a maximum of 10 waypoints. If we want to plot a route with >10 waypoints, we need to call the route plotting function multiple times.\n", "\n", - "The code below generates the series of route plotting calls that you'll need. Replace the current `calcRoute` calls (at [line 117](https://github.com/rhiever/optimal-roadtrip-usa/blob/gh-pages/major-landmarks.html#L117) and beyond) with the calls you generate below." - ] - }, - { - "cell_type": "code", - "execution_count": 21, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "calcRoute(\"Graceland, Elvis Presley Boulevard, Memphis, TN\", \"Shelburne Farms, Harbor Road, Shelburne, VT\", [\"Vicksburg National Military Park, Clay Street, Vicksburg, MS\", \"French Quarter, New Orleans, LA\", \"USS Alabama, Battleship Parkway, Mobile, AL\", \"Cape Canaveral, FL\", \"Okefenokee Swamp Park, Okefenokee Swamp Park Road, Waycross, GA\", \"Fort Sumter National Monument, Sullivan's Island, SC\", \"Wright Brothers National Memorial Visitor Center, Manteo, NC\", \"Congress Hall, Congress Place, Cape May, NJ 08204\"]);\n", - "\n", - "calcRoute(\"Shelburne Farms, Harbor Road, Shelburne, VT\", \"Maryland State House, 100 State Cir, Annapolis, MD 21401\", [\"Omni Mount Washington Resort, Mount Washington Hotel Road, Bretton Woods, NH\", \"Acadia National Park, Maine\", \"USS Constitution, Boston, MA\", \"The Breakers, Ochre Point Avenue, Newport, RI\", \"The Mark Twain House & Museum, Farmington Avenue, Hartford, CT\", \"Statue of Liberty, Liberty Island, NYC, NY\", \"Liberty Bell, 6th Street, Philadelphia, PA\", \"New Castle Historic District, Delaware\"]);\n", - "\n", - "calcRoute(\"Maryland State House, 100 State Cir, Annapolis, MD 21401\", \"Lincoln Home National Historic Site Visitor Center, 426 South 7th Street, Springfield, IL\", [\"White House, Pennsylvania Avenue Northwest, Washington, DC\", \"Mount Vernon, Fairfax County, Virginia\", \"Lost World Caverns, Lewisburg, WV\", \"Olympia Entertainment, Woodward Avenue, Detroit, MI\", \"Spring Grove Cemetery, Spring Grove Avenue, Cincinnati, OH\", \"Mammoth Cave National Park, Mammoth Cave Pkwy, Mammoth Cave, KY\", \"West Baden Springs Hotel, West Baden Avenue, West Baden Springs, IN\", \"Gateway Arch, Washington Avenue, St Louis, MO\"]);\n", - "\n", - "calcRoute(\"Lincoln Home National Historic Site Visitor Center, 426 South 7th Street, Springfield, IL\", \"Yellowstone National Park, WY 82190\", [\"Taliesin, County Road C, Spring Green, Wisconsin\", \"Fort Snelling, Tower Avenue, Saint Paul, MN\", \"Terrace Hill, Grand Avenue, Des Moines, IA\", \"C. W. Parker Carousel Museum, South Esplanade Street, Leavenworth, KS\", \"Ashfall Fossil Bed, Royal, NE\", \"Mount Rushmore National Memorial, South Dakota 244, Keystone, SD\", \"Fort Union Trading Post National Historic Site, Williston, North Dakota 1804, ND\", \"Glacier National Park, West Glacier, MT\"]);\n", - "\n", - "calcRoute(\"Yellowstone National Park, WY 82190\", \"Pikes Peak, Colorado\", [\"Craters of the Moon National Monument & Preserve, Arco, ID\", \"Hanford Site, Benton County, WA\", \"Columbia River Gorge National Scenic Area, Oregon\", \"Cable Car Museum, 94108, 1201 Mason St, San Francisco, CA 94108\", \"San Andreas Fault, San Benito County, CA\", \"Hoover Dam, NV\", \"Grand Canyon National Park, Arizona\", \"Bryce Canyon National Park, Hwy 63, Bryce, UT\"]);\n", - "\n", - "calcRoute(\"Pikes Peak, Colorado\", \"Graceland, Elvis Presley Boulevard, Memphis, TN\", [\"Carlsbad Caverns National Park, Carlsbad, NM\", \"The Alamo, Alamo Plaza, San Antonio, TX\", \"Chickasaw National Recreation Area, 1008 W 2nd St, Sulphur, OK 73086\", \"Toltec Mounds, Scott, AR\"]);\n", - "\n" - ] - } - ], - "source": [ - "# Paste your optimal route after the equal sign (=) here\n", - "optimal_route = ('Graceland, Elvis Presley Boulevard, Memphis, TN', 'Vicksburg National Military Park, Clay Street, Vicksburg, MS', 'French Quarter, New Orleans, LA', 'USS Alabama, Battleship Parkway, Mobile, AL', 'Cape Canaveral, FL', 'Okefenokee Swamp Park, Okefenokee Swamp Park Road, Waycross, GA', \"Fort Sumter National Monument, Sullivan's Island, SC\", 'Wright Brothers National Memorial Visitor Center, Manteo, NC', 'Congress Hall, Congress Place, Cape May, NJ 08204', 'Shelburne Farms, Harbor Road, Shelburne, VT', 'Omni Mount Washington Resort, Mount Washington Hotel Road, Bretton Woods, NH', 'Acadia National Park, Maine', 'USS Constitution, Boston, MA', 'The Breakers, Ochre Point Avenue, Newport, RI', 'The Mark Twain House & Museum, Farmington Avenue, Hartford, CT', 'Statue of Liberty, Liberty Island, NYC, NY', 'Liberty Bell, 6th Street, Philadelphia, PA', 'New Castle Historic District, Delaware', 'Maryland State House, 100 State Cir, Annapolis, MD 21401', 'White House, Pennsylvania Avenue Northwest, Washington, DC', 'Mount Vernon, Fairfax County, Virginia', 'Lost World Caverns, Lewisburg, WV', 'Olympia Entertainment, Woodward Avenue, Detroit, MI', 'Spring Grove Cemetery, Spring Grove Avenue, Cincinnati, OH', 'Mammoth Cave National Park, Mammoth Cave Pkwy, Mammoth Cave, KY', 'West Baden Springs Hotel, West Baden Avenue, West Baden Springs, IN', 'Gateway Arch, Washington Avenue, St Louis, MO', 'Lincoln Home National Historic Site Visitor Center, 426 South 7th Street, Springfield, IL', 'Taliesin, County Road C, Spring Green, Wisconsin', 'Fort Snelling, Tower Avenue, Saint Paul, MN', 'Terrace Hill, Grand Avenue, Des Moines, IA', 'C. W. Parker Carousel Museum, South Esplanade Street, Leavenworth, KS', 'Ashfall Fossil Bed, Royal, NE', 'Mount Rushmore National Memorial, South Dakota 244, Keystone, SD', 'Fort Union Trading Post National Historic Site, Williston, North Dakota 1804, ND', 'Glacier National Park, West Glacier, MT', 'Yellowstone National Park, WY 82190', 'Craters of the Moon National Monument & Preserve, Arco, ID', 'Hanford Site, Benton County, WA', 'Columbia River Gorge National Scenic Area, Oregon', 'Cable Car Museum, 94108, 1201 Mason St, San Francisco, CA 94108', 'San Andreas Fault, San Benito County, CA', 'Hoover Dam, NV', 'Grand Canyon National Park, Arizona', 'Bryce Canyon National Park, Hwy 63, Bryce, UT', 'Pikes Peak, Colorado', 'Carlsbad Caverns National Park, Carlsbad, NM', 'The Alamo, Alamo Plaza, San Antonio, TX', 'Chickasaw National Recreation Area, 1008 W 2nd St, Sulphur, OK 73086', 'Toltec Mounds, Scott, AR')\n", - "\n", - "optimal_route = list(optimal_route)\n", - "optimal_route += [optimal_route[0]]\n", - "subset = 0\n", - " \n", - "while subset < len(optimal_route):\n", - " \n", - " waypoint_subset = optimal_route[subset:subset + 10]\n", - " output = \"calcRoute(\\\"%s\\\", \\\"%s\\\", [\" % (waypoint_subset[0], waypoint_subset[-1])\n", - " for waypoint in waypoint_subset[1:-1]:\n", - " output += \"\\\"%s\\\", \" % (waypoint)\n", - " \n", - " if len(waypoint_subset[1:-1]) > 0:\n", - " output = output[:-2]\n", - " \n", - " output += \"]);\"\n", - " print(output)\n", - " print(\"\")\n", - " subset += 9" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**This last part is very hacky. Sorry.**\n", - "\n", - "Lastly, you'll need to fix the `switch` statements at [line 54](https://github.com/rhiever/optimal-roadtrip-usa/blob/gh-pages/major-landmarks.html#L54) and [line 91](https://github.com/rhiever/optimal-roadtrip-usa/blob/gh-pages/major-landmarks.html#L91) so the `case` statements match the first waypoints specified in the `calcRoute` calls.\n", - "\n", - "For example, from the `calcRoute` calls above we'll want the case statements to match on:\n", + "Thanks to some optimizations by [Nicholas Clarke](https://github.com/nicholasgodfreyclarke) to my original map, this is a simple operation:\n", "\n", - "* \"Graceland, Elvis Presley Boulevard, Memphis, TN\"\n", + "1) Copy the final route generated by the genetic algorithm above.\n", "\n", - "* \"Shelburne Farms, Harbor Road, Shelburne, VT\"\n", + "2) Place brackets (`[` & `]`) around the route, e.g.,\n", "\n", - "* \"Maryland State House, 100 State Cir, Annapolis, MD 21401\"\n", + " ['Graceland, Elvis Presley Boulevard, Memphis, TN', 'Vicksburg National Military Park, Clay Street, Vicksburg, MS', 'French Quarter, New Orleans, LA', 'USS Alabama, Battleship Parkway, Mobile, AL', 'Cape Canaveral, FL', 'Okefenokee Swamp Park, Okefenokee Swamp Park Road, Waycross, GA', \"Fort Sumter National Monument, Sullivan's Island, SC\", 'Wright Brothers National Memorial Visitor Center, Manteo, NC', 'Congress Hall, Congress Place, Cape May, NJ 08204', 'Shelburne Farms, Harbor Road, Shelburne, VT', 'Omni Mount Washington Resort, Mount Washington Hotel Road, Bretton Woods, NH', 'Acadia National Park, Maine', 'USS Constitution, Boston, MA', 'The Breakers, Ochre Point Avenue, Newport, RI', 'The Mark Twain House & Museum, Farmington Avenue, Hartford, CT', 'Statue of Liberty, Liberty Island, NYC, NY', 'Liberty Bell, 6th Street, Philadelphia, PA', 'New Castle Historic District, Delaware', 'Maryland State House, 100 State Cir, Annapolis, MD 21401', 'White House, Pennsylvania Avenue Northwest, Washington, DC', 'Mount Vernon, Fairfax County, Virginia', 'Lost World Caverns, Lewisburg, WV', 'Olympia Entertainment, Woodward Avenue, Detroit, MI', 'Spring Grove Cemetery, Spring Grove Avenue, Cincinnati, OH', 'Mammoth Cave National Park, Mammoth Cave Pkwy, Mammoth Cave, KY', 'West Baden Springs Hotel, West Baden Avenue, West Baden Springs, IN', 'Gateway Arch, Washington Avenue, St Louis, MO', 'Lincoln Home National Historic Site Visitor Center, 426 South 7th Street, Springfield, IL', 'Taliesin, County Road C, Spring Green, Wisconsin', 'Fort Snelling, Tower Avenue, Saint Paul, MN', 'Terrace Hill, Grand Avenue, Des Moines, IA', 'C. W. Parker Carousel Museum, South Esplanade Street, Leavenworth, KS', 'Ashfall Fossil Bed, Royal, NE', 'Mount Rushmore National Memorial, South Dakota 244, Keystone, SD', 'Fort Union Trading Post National Historic Site, Williston, North Dakota 1804, ND', 'Glacier National Park, West Glacier, MT', 'Yellowstone National Park, WY 82190', 'Craters of the Moon National Monument & Preserve, Arco, ID', 'Hanford Site, Benton County, WA', 'Columbia River Gorge National Scenic Area, Oregon', 'Cable Car Museum, 94108, 1201 Mason St, San Francisco, CA 94108', 'San Andreas Fault, San Benito County, CA', 'Hoover Dam, NV', 'Grand Canyon National Park, Arizona', 'Bryce Canyon National Park, Hwy 63, Bryce, UT', 'Pikes Peak, Colorado', 'Carlsbad Caverns National Park, Carlsbad, NM', 'The Alamo, Alamo Plaza, San Antonio, TX', 'Chickasaw National Recreation Area, 1008 W 2nd St, Sulphur, OK 73086', 'Toltec Mounds, Scott, AR']\n", "\n", - "* \"Lincoln Home National Historic Site Visitor Center, 426 South 7th Street, Springfield, IL\"\n", + "3) Paste the final route with brackets into [line 93](https://github.com/rhiever/optimal-roadtrip-usa/blob/gh-pages/major-landmarks.html#L93) of my road trip map code. It should look like this:\n", "\n", - "* \"Yellowstone National Park, WY 82190\"\n", - "\n", - "* \"Pikes Peak, Colorado\"\n", - "\n", - "If you have more than 6 `calcRoute` calls, you'll have to add more `directionsDisplay` variables and integrate them with the rest of the code.\n", + " optimal_route = [ ... ]\n", + " \n", + "where `...` is your optimized road trip.\n", "\n", - "If you'd like to clean the Google map visualization code up so it's easier to use, please submit a pull request to the [repository](https://github.com/rhiever/optimal-roadtrip-usa). " + "That's all it takes! Now you have your own optimized road trip ready to show off to the world." ] }, { @@ -600,9 +528,9 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.4.3" + "version": "3.6.5" } }, "nbformat": 4, - "nbformat_minor": 0 + "nbformat_minor": 1 } diff --git a/optimal-road-trip/OptimalRoadTripHtmlSaveAndDisplay.py b/optimal-road-trip/OptimalRoadTripHtmlSaveAndDisplay.py index ea71fc4..d348306 100644 --- a/optimal-road-trip/OptimalRoadTripHtmlSaveAndDisplay.py +++ b/optimal-road-trip/OptimalRoadTripHtmlSaveAndDisplay.py @@ -4,6 +4,7 @@ 2: Dynamically create and open an HTML file showing the route when a shorter route is found 3: Make it easier to tinker with the Generation / Population parameters """ +from __future__ import print_function from itertools import combinations import googlemaps import pandas as pd @@ -76,59 +77,124 @@ "Taliesin, County Road C, Spring Green, Wisconsin", "Yellowstone National Park, WY 82190"] -def CreateOptimalRouteHtmlFile(optimal_route, distance, display=1): +def CreateOptimalRouteHtmlFile(optimal_route, distance, display=True): optimal_route = list(optimal_route) optimal_route += [optimal_route[0]] - - Page_1 = 'The optimal road trip across the U.S. according to machine learning
' - - subset = 0 - subsetCounter = 0 - StatementC1 = '' - StatementC2 = '' - StatementCalcRoutes = '' - - while subset < len(optimal_route): - subsetCounter += 1 - - waypoint_subset = optimal_route[subset:subset + 10] - output = "calcRoute(\"%s\", \"%s\", [" % (waypoint_subset[0], waypoint_subset[-1]) - StatementC1 = StatementC1 + ' case "' + waypoint_subset[0] + '": directionsDisplay' + str(subsetCounter) + ' = new google.maps.DirectionsRenderer(directionsDisplayOptions); break; ' - StatementC2 = StatementC2 + ' case "' + waypoint_subset[0] + '": directionsDisplay' + str(subsetCounter) + '.setDirections(response); break; ' - - for waypoint in waypoint_subset[1:-1]: - output += "\"%s\", " % (waypoint) + Page_1 = """ + + + + + + + - if len(waypoint_subset[1:-1]) > 0: - output = output[:-2] - - output += "]);" - StatementCalcRoutes = StatementCalcRoutes + ' ' + output - #print(output) - #print("") - subset += 9 + The optimal road trip across the U.S. according to machine learning + + + + + +
+ + + """ - #write the output to file localoutput_file = output_file.replace('.html', '_' + str(distance) + '.html') - fs = open(localoutput_file, 'w') - fs.write(Page_1) - fs.write(Page_2) - fs.write(StatementC1) - fs.write(Page_3) - fs.write(StatementC2) - fs.write(Page_4) - fs.write(StatementCalcRoutes) - fs.write(Page_5) - fs.close() - - #Show the result - if display ==1: + with open(localoutput_file, 'w') as fs: + fs.write(Page_1) + fs.write("\t\t\toptimal_route = {0}".format(str(optimal_route))) + fs.write(Page_2) + + if display: webbrowser.open_new_tab(localoutput_file) @@ -213,8 +279,13 @@ def generate_random_population(pop_size): def run_genetic_algorithm(generations=5000, population_size=100): """ The core of the Genetic Algorithm. + + `generations` and `population_size` must be a multiple of 10. """ - current_best_distance =-1 + + current_best_distance = -1 + population_subset_size = int(population_size / 10.) + generations_10pct = int(generations / 10.) # Create a random population of `population_size` number of solutions. population = generate_random_population(population_size) @@ -231,10 +302,11 @@ def run_genetic_algorithm(generations=5000, population_size=100): population_fitness[agent_genome] = compute_fitness(agent_genome) - # Take the 10 shortest road trips and produce 10 offspring each from them + # Take the top 10% shortest road trips and produce offspring each from them new_population = [] - for rank, agent_genome in enumerate(sorted(population_fitness, key=population_fitness.get)[:10]): - if (generation % 1000 == 0 or generation == generations - 1) and rank == 0: + for rank, agent_genome in enumerate(sorted(population_fitness, + key=population_fitness.get)[:population_subset_size]): + if (generation % generations_10pct == 0 or generation == generations - 1) and rank == 0: current_best_genome = agent_genome print("Generation %d best: %d | Unique genomes: %d" % (generation, population_fitness[agent_genome], @@ -242,13 +314,14 @@ def run_genetic_algorithm(generations=5000, population_size=100): print(agent_genome) print("") - #if this is the first route found, or it is shorter than the best route we know, create a html output and display it + # If this is the first route found, or it is shorter than the best route we know, + # create a html output and display it if population_fitness[agent_genome] < current_best_distance or current_best_distance < 0: current_best_distance = population_fitness[agent_genome] - CreateOptimalRouteHtmlFile(agent_genome,current_best_distance, 1) + CreateOptimalRouteHtmlFile(agent_genome, current_best_distance, False) - # Create 1 exact copy of each of the top 10 road trips + # Create 1 exact copy of each of the top road trips new_population.append(agent_genome) # Create 2 offspring with 1-3 point mutations @@ -267,73 +340,70 @@ def run_genetic_algorithm(generations=5000, population_size=100): return current_best_genome - -# if this file exists, read the data stored in it - if not then collect data by asking google -print "Begin finding shortest route" -file_path = waypoints_file -if os.path.exists(file_path): - print "Waypoints exist" - #file exists used saved results - waypoint_distances = {} - waypoint_durations = {} - all_waypoints = set() - - waypoint_data = pd.read_csv(file_path, sep="\t") - - for i, row in waypoint_data.iterrows(): - waypoint_distances[frozenset([row.waypoint1, row.waypoint2])] = row.distance_m - waypoint_durations[frozenset([row.waypoint1, row.waypoint2])] = row.duration_s - all_waypoints.update([row.waypoint1, row.waypoint2]) - -else: - #file does not exist - compute results - print "Collecting Waypoints" - waypoint_distances = {} - waypoint_durations = {} - - - gmaps = googlemaps.Client(GOOGLE_MAPS_API_KEY) - for (waypoint1, waypoint2) in combinations(all_waypoints, 2): - try: - route = gmaps.distance_matrix(origins=[waypoint1], - destinations=[waypoint2], - mode="driving", # Change to "walking" for walking directions, - # "bicycling" for biking directions, etc. - language="English", - units="metric") - - # "distance" is in meters - distance = route["rows"][0]["elements"][0]["distance"]["value"] - - # "duration" is in seconds - duration = route["rows"][0]["elements"][0]["duration"]["value"] - - waypoint_distances[frozenset([waypoint1, waypoint2])] = distance - waypoint_durations[frozenset([waypoint1, waypoint2])] = duration - - except Exception as e: - print("Error with finding the route between %s and %s." % (waypoint1, waypoint2)) - - print "Saving Waypoints" - with open(waypoints_file, "wb") as out_file: - out_file.write("\t".join(["waypoint1", - "waypoint2", - "distance_m", - "duration_s"])) - - for (waypoint1, waypoint2) in waypoint_distances.keys(): - out_file.write("\n" + - "\t".join([waypoint1, - waypoint2, - str(waypoint_distances[frozenset([waypoint1, waypoint2])]), - str(waypoint_durations[frozenset([waypoint1, waypoint2])])])) - - -#optimal_route = run_genetic_algorithm(generations=100, population_size=100) -print "Search for optimal route" -optimal_route = run_genetic_algorithm(generations=thisRunGenerations, population_size=thisRunPopulation_size) - -#this is probably redundant now that the files are created in run_genetic_algorithm but leaving it active to ensure -#the final result is not lost -CreateOptimalRouteHtmlFile(optimal_route, 1) - +if __name__ == '__main__': + # If this file exists, read the data stored in it - if not then collect data by asking google + print("Begin finding shortest route") + file_path = waypoints_file + if os.path.exists(file_path): + print("Waypoints exist") + #file exists used saved results + waypoint_distances = {} + waypoint_durations = {} + all_waypoints = set() + + waypoint_data = pd.read_csv(file_path, sep="\t") + + for i, row in waypoint_data.iterrows(): + waypoint_distances[frozenset([row.waypoint1, row.waypoint2])] = row.distance_m + waypoint_durations[frozenset([row.waypoint1, row.waypoint2])] = row.duration_s + all_waypoints.update([row.waypoint1, row.waypoint2]) + + else: + # File does not exist - compute results + print("Collecting Waypoints") + waypoint_distances = {} + waypoint_durations = {} + + + gmaps = googlemaps.Client(GOOGLE_MAPS_API_KEY) + for (waypoint1, waypoint2) in combinations(all_waypoints, 2): + try: + route = gmaps.distance_matrix(origins=[waypoint1], + destinations=[waypoint2], + mode="driving", # Change to "walking" for walking directions, + # "bicycling" for biking directions, etc. + language="English", + units="metric") + + # "distance" is in meters + distance = route["rows"][0]["elements"][0]["distance"]["value"] + + # "duration" is in seconds + duration = route["rows"][0]["elements"][0]["duration"]["value"] + + waypoint_distances[frozenset([waypoint1, waypoint2])] = distance + waypoint_durations[frozenset([waypoint1, waypoint2])] = duration + + except Exception as e: + print("Error with finding the route between %s and %s." % (waypoint1, waypoint2)) + + print("Saving Waypoints") + with open(waypoints_file, "w") as out_file: + out_file.write("\t".join(["waypoint1", + "waypoint2", + "distance_m", + "duration_s"])) + + for (waypoint1, waypoint2) in waypoint_distances.keys(): + out_file.write("\n" + + "\t".join([waypoint1, + waypoint2, + str(waypoint_distances[frozenset([waypoint1, waypoint2])]), + str(waypoint_durations[frozenset([waypoint1, waypoint2])])])) + + print("Search for optimal route") + optimal_route = run_genetic_algorithm(generations=thisRunGenerations, population_size=thisRunPopulation_size) + + # This is probably redundant now that the files are created in run_genetic_algorithm, + # but leaving it active to ensure the final result is not lost + CreateOptimalRouteHtmlFile(optimal_route, 1, True) diff --git a/pareto-optimized-road-trip/my-waypoints-dist-dur.tsv b/pareto-optimized-road-trip/my-waypoints-dist-dur.tsv new file mode 100644 index 0000000..6c51cfc --- /dev/null +++ b/pareto-optimized-road-trip/my-waypoints-dist-dur.tsv @@ -0,0 +1,1129 @@ +waypoint1 waypoint2 distance_m duration_s +2 E Main St, Madison, WI 53703 Wyoming State Capitol, Cheyenne, WY 82001 1484756 13.459166666666667 +L St & 10th St, Sacramento, CA 95814 Virginia State Capitol, Richmond, VA 23219 4496033 40.22388888888889 +Michigan State Capitol, Lansing, MI 48933 North Dakota State Capitol, Bismarck, ND 58501 1702226 15.2425 +Michigan State Capitol, Lansing, MI 48933 Oklahoma State Capitol, Oklahoma City, OK 73105 1577431 14.1075 +New Jersey State House, Trenton, NJ 08608 South Carolina State House, 1100 Gervais Street, Columbia, SC 29201 1050714 9.756944444444445 +Maryland State House, 100 State Cir, Annapolis, MD 21401 West Virginia State Capitol, Charleston, WV 25317 624275 5.811111111111111 +Connecticut State Capitol, 210 Capitol Ave, Hartford, CT 06106 Missouri State Capitol, Jefferson City, MO 65101 1933062 17.850277777777777 +402 S Monroe St, Tallahassee, FL 32301 Vermont State House, 115 State Street, Montpelier, VT 05633 2270947 20.70388888888889 +Arizona State Capitol, 1700 W Washington St, Phoenix, AZ 85007 Virginia State Capitol, Richmond, VA 23219 3620386 32.61944444444445 +Alabama State Capitol, 600 Dexter Avenue, Montgomery, AL 36130 Oregon State Capitol, 900 Court St NE, Salem, OR 97301 4310134 38.85166666666667 +Nevada State Capitol, Carson City, NV 89701 New York State Capitol, State St. and Washington Ave, Albany, NY 12224 4417580 39.431666666666665 +Legislative Hall: The State Capitol, Legislative Avenue, Dover, DE 19901 Missouri State Capitol, Jefferson City, MO 65101 1654361 15.761111111111111 +Maryland State House, 100 State Cir, Annapolis, MD 21401 Nevada State Capitol, Carson City, NV 89701 4238501 38.34916666666667 +Ohio State Capitol, 1 Capitol Square, Columbus, OH 43215 Washington State Capitol Bldg, 416 Sid Snyder Ave SW, Olympia, WA 98504 3965649 35.45805555555555 +Arizona State Capitol, 1700 W Washington St, Phoenix, AZ 85007 Michigan State Capitol, Lansing, MI 48933 3125553 28.08 +300 SW 10th Ave, Topeka, KS 66612 Virginia State Capitol, Richmond, VA 23219 1817890 16.451666666666668 +Legislative Hall: The State Capitol, Legislative Avenue, Dover, DE 19901 Pennsylvania State Capitol Building, North 3rd Street, Harrisburg, PA 17120 207363 2.6302777777777777 +Iowa State Capitol, 1007 E Grand Ave, Des Moines, IA 50319 Oklahoma State Capitol, Oklahoma City, OK 73105 873294 7.731944444444444 +New Jersey State House, Trenton, NJ 08608 Vermont State House, 115 State Street, Montpelier, VT 05633 609928 5.969722222222222 +Minnesota State Capitol, St Paul, MN 55155 North Dakota State Capitol, Bismarck, ND 58501 701087 6.226111111111111 +700 W Jefferson St, Boise, ID 83720 Rhode Island State House, 82 Smith Street, Providence, RI 02903 4262023 38.382222222222225 +Alabama State Capitol, 600 Dexter Avenue, Montgomery, AL 36130 Pennsylvania State Capitol Building, North 3rd Street, Harrisburg, PA 17120 1410057 12.826666666666666 +Maryland State House, 100 State Cir, Annapolis, MD 21401 Michigan State Capitol, Lansing, MI 48933 984795 9.165 +New Jersey State House, Trenton, NJ 08608 West Virginia State Capitol, Charleston, WV 25317 775909 7.272222222222222 +New York State Capitol, State St. and Washington Ave, Albany, NY 12224 Wyoming State Capitol, Cheyenne, WY 82001 2836858 25.635833333333334 +Montana State Capitol, 1301 E 6th Ave, Helena, MT 59601 Vermont State House, 115 State Street, Montpelier, VT 05633 3858914 35.9 +Oklahoma State Capitol, Oklahoma City, OK 73105 South Carolina State House, 1100 Gervais Street, Columbia, SC 29201 1708829 15.338333333333333 +Louisiana State Capitol, Baton Rouge, LA 70802 Oregon State Capitol, 900 Court St NE, Salem, OR 97301 4032674 36.91388888888889 +Minnesota State Capitol, St Paul, MN 55155 Ohio State Capitol, 1 Capitol Square, Columbus, OH 43215 1215946 11.09361111111111 +Arkansas State Capitol, 500 Woodlane Street, Little Rock, AR 72201 South Carolina State House, 1100 Gervais Street, Columbia, SC 29201 1177643 10.660277777777777 +Arizona State Capitol, 1700 W Washington St, Phoenix, AZ 85007 Indiana State Capitol, Indianapolis, IN 46204 2734360 24.705277777777777 +Alabama State Capitol, 600 Dexter Avenue, Montgomery, AL 36130 State House, 107 North Main Street, Concord, NH 03303 2090541 19.531666666666666 +Legislative Hall: The State Capitol, Legislative Avenue, Dover, DE 19901 500 E Capitol Ave, Pierre, SD 57501 2545226 23.341944444444444 +Iowa State Capitol, 1007 E Grand Ave, Des Moines, IA 50319 Wyoming State Capitol, Cheyenne, WY 82001 1012033 9.015 +Arkansas State Capitol, 500 Woodlane Street, Little Rock, AR 72201 200 E Colfax Ave, Denver, CO 80203 1556144 13.736944444444445 +L St & 10th St, Sacramento, CA 95814 Nevada State Capitol, Carson City, NV 89701 209218 2.620277777777778 +L St & 10th St, Sacramento, CA 95814 Indiana State Capitol, Indianapolis, IN 46204 3518613 31.3025 +New Mexico State Capitol, Santa Fe, NM 87501 500 E Capitol Ave, Pierre, SD 57501 1398667 13.206666666666667 +Legislative Hall: The State Capitol, Legislative Avenue, Dover, DE 19901 300 SW 10th Ave, Topeka, KS 66612 1939553 18.27861111111111 +Kentucky State Capitol Building, 700 Capitol Avenue, Frankfort, KY 40601 Nebraska State Capitol, 1445 K Street, Lincoln, NE 68509 1209098 11.276388888888889 +Missouri State Capitol, Jefferson City, MO 65101 Rhode Island State House, 82 Smith Street, Providence, RI 02903 2036038 19.129722222222224 +Louisiana State Capitol, Baton Rouge, LA 70802 2 E Main St, Madison, WI 53703 1648573 14.640555555555556 +402 S Monroe St, Tallahassee, FL 32301 New York State Capitol, State St. and Washington Ave, Albany, NY 12224 1991155 17.946944444444444 +700 W Jefferson St, Boise, ID 83720 Massachusetts State House, Boston, MA 02108 4283333 38.500277777777775 +Arizona State Capitol, 1700 W Washington St, Phoenix, AZ 85007 North Carolina State Capitol, Raleigh, NC 27601 3499526 31.790555555555557 +Legislative Hall: The State Capitol, Legislative Avenue, Dover, DE 19901 Massachusetts State House, Boston, MA 02108 611507 6.089722222222222 +Arkansas State Capitol, 500 Woodlane Street, Little Rock, AR 72201 Louisiana State Capitol, Baton Rouge, LA 70802 552559 6.1066666666666665 +Indiana State Capitol, Indianapolis, IN 46204 Wyoming State Capitol, Cheyenne, WY 82001 1769573 15.93138888888889 +700 W Jefferson St, Boise, ID 83720 North Dakota State Capitol, Bismarck, ND 58501 1653552 14.968055555555555 +L St & 10th St, Sacramento, CA 95814 New Jersey State House, Trenton, NJ 08608 4526276 40.489444444444445 +Washington State Capitol Bldg, 416 Sid Snyder Ave SW, Olympia, WA 98504 West Virginia State Capitol, Charleston, WV 25317 4182133 37.61138888888889 +Georgia State Capitol, Atlanta, GA 30334 Nevada State Capitol, Carson City, NV 89701 3827390 34.82694444444444 +Arizona State Capitol, 1700 W Washington St, Phoenix, AZ 85007 Ohio State Capitol, 1 Capitol Square, Columbus, OH 43215 3016589 27.24 +200 E Colfax Ave, Denver, CO 80203 Utah State Capitol, Salt Lake City, UT 84103 841152 7.91 +South Carolina State House, 1100 Gervais Street, Columbia, SC 29201 Utah State Capitol, Salt Lake City, UT 84103 3334079 30.226666666666667 +Ohio State Capitol, 1 Capitol Square, Columbus, OH 43215 West Virginia State Capitol, Charleston, WV 25317 265168 2.6933333333333334 +200 E Colfax Ave, Denver, CO 80203 Vermont State House, 115 State Street, Montpelier, VT 05633 3117244 28.791666666666668 +Arkansas State Capitol, 500 Woodlane Street, Little Rock, AR 72201 Connecticut State Capitol, 210 Capitol Ave, Hartford, CT 06106 2180753 20.04 +Nebraska State Capitol, 1445 K Street, Lincoln, NE 68509 Vermont State House, 115 State Street, Montpelier, VT 05633 2344034 22.141111111111112 +Montana State Capitol, 1301 E 6th Ave, Helena, MT 59601 Utah State Capitol, Salt Lake City, UT 84103 774035 6.633333333333334 +300 SW 10th Ave, Topeka, KS 66612 Maine State House, Augusta, ME 04330 2649936 24.170833333333334 +Michigan State Capitol, Lansing, MI 48933 West Virginia State Capitol, Charleston, WV 25317 679517 6.6338888888888885 +New Mexico State Capitol, Santa Fe, NM 87501 Pennsylvania State Capitol Building, North 3rd Street, Harrisburg, PA 17120 2920958 26.529444444444444 +400-498 N West St, Jackson, MS 39201 2 E Main St, Madison, WI 53703 1365734 12.152222222222223 +State House, 107 North Main Street, Concord, NH 03303 Rhode Island State House, 82 Smith Street, Providence, RI 02903 198603 1.9908333333333332 +Massachusetts State House, Boston, MA 02108 Oklahoma State Capitol, Oklahoma City, OK 73105 2710778 24.665277777777778 +Illinois State Capitol, Springfield, IL 62756 Pennsylvania State Capitol Building, North 3rd Street, Harrisburg, PA 17120 1213082 11.370833333333334 +200 E Colfax Ave, Denver, CO 80203 West Virginia State Capitol, Charleston, WV 25317 2179520 19.378888888888888 +Maine State House, Augusta, ME 04330 North Dakota State Capitol, Bismarck, ND 58501 3181562 28.85638888888889 +400-498 N West St, Jackson, MS 39201 North Carolina State Capitol, Raleigh, NC 27601 1266179 11.560555555555556 +Illinois State Capitol, Springfield, IL 62756 Wyoming State Capitol, Cheyenne, WY 82001 1414419 12.964166666666667 +Iowa State Capitol, 1007 E Grand Ave, Des Moines, IA 50319 Nevada State Capitol, Carson City, NV 89701 2565429 23.017222222222223 +Ohio State Capitol, 1 Capitol Square, Columbus, OH 43215 South Carolina State House, 1100 Gervais Street, Columbia, SC 29201 832772 7.963055555555556 +Maryland State House, 100 State Cir, Annapolis, MD 21401 Texas Capitol, 1100 Congress Avenue, Austin, TX 78701 2513292 22.845833333333335 +Connecticut State Capitol, 210 Capitol Ave, Hartford, CT 06106 Louisiana State Capitol, Baton Rouge, LA 70802 2386413 21.665555555555557 +Alabama State Capitol, 600 Dexter Avenue, Montgomery, AL 36130 North Dakota State Capitol, Bismarck, ND 58501 2555394 22.523611111111112 +Montana State Capitol, 1301 E 6th Ave, Helena, MT 59601 North Carolina State Capitol, Raleigh, NC 27601 3628835 33.34361111111111 +Maine State House, Augusta, ME 04330 Utah State Capitol, Salt Lake City, UT 84103 4056973 36.73361111111111 +Georgia State Capitol, Atlanta, GA 30334 2 E Main St, Madison, WI 53703 1396771 12.522777777777778 +Vermont State House, 115 State Street, Montpelier, VT 05633 2 E Main St, Madison, WI 53703 1777622 17.235833333333332 +Legislative Hall: The State Capitol, Legislative Avenue, Dover, DE 19901 Oregon State Capitol, 900 Court St NE, Salem, OR 97301 4722133 43.030277777777776 +Alabama State Capitol, 600 Dexter Avenue, Montgomery, AL 36130 Nevada State Capitol, Carson City, NV 89701 3735753 34.01277777777778 +Massachusetts State House, Boston, MA 02108 Ohio State Capitol, 1 Capitol Square, Columbus, OH 43215 1246212 11.47888888888889 +Arkansas State Capitol, 500 Woodlane Street, Little Rock, AR 72201 300 SW 10th Ave, Topeka, KS 66612 780685 7.1033333333333335 +Louisiana State Capitol, Baton Rouge, LA 70802 Nevada State Capitol, Carson City, NV 89701 3319161 30.426666666666666 +Arizona State Capitol, 1700 W Washington St, Phoenix, AZ 85007 Maryland State House, 100 State Cir, Annapolis, MD 21401 3696277 33.754444444444445 +Nevada State Capitol, Carson City, NV 89701 Washington State Capitol Bldg, 416 Sid Snyder Ave SW, Olympia, WA 98504 1086169 11.026111111111112 +Kentucky State Capitol Building, 700 Capitol Avenue, Frankfort, KY 40601 Tennessee State Capitol, 600 Charlotte Avenue, Nashville, TN 37243 334062 3.2086111111111113 +402 S Monroe St, Tallahassee, FL 32301 West Virginia State Capitol, Charleston, WV 25317 1133547 11.511111111111111 +Legislative Hall: The State Capitol, Legislative Avenue, Dover, DE 19901 Louisiana State Capitol, Baton Rouge, LA 70802 1998869 18.3225 +Kentucky State Capitol Building, 700 Capitol Avenue, Frankfort, KY 40601 Washington State Capitol Bldg, 416 Sid Snyder Ave SW, Olympia, WA 98504 3894102 35.33111111111111 +700 W Jefferson St, Boise, ID 83720 North Carolina State Capitol, Raleigh, NC 27601 3930023 35.38611111111111 +Arizona State Capitol, 1700 W Washington St, Phoenix, AZ 85007 Vermont State House, 115 State Street, Montpelier, VT 05633 4207835 38.82194444444445 +200 E Colfax Ave, Denver, CO 80203 500 E Capitol Ave, Pierre, SD 57501 844954 8.028333333333334 +402 S Monroe St, Tallahassee, FL 32301 Kentucky State Capitol Building, 700 Capitol Avenue, Frankfort, KY 40601 1078970 10.289722222222222 +Arkansas State Capitol, 500 Woodlane Street, Little Rock, AR 72201 Missouri State Capitol, Jefferson City, MO 65101 554812 5.858888888888889 +New Jersey State House, Trenton, NJ 08608 Oklahoma State Capitol, Oklahoma City, OK 73105 2251698 20.604166666666668 +Iowa State Capitol, 1007 E Grand Ave, Des Moines, IA 50319 North Carolina State Capitol, Raleigh, NC 27601 1779142 16.510277777777777 +Illinois State Capitol, Springfield, IL 62756 Nebraska State Capitol, 1445 K Street, Lincoln, NE 68509 697787 6.743888888888889 +New York State Capitol, State St. and Washington Ave, Albany, NY 12224 North Dakota State Capitol, Bismarck, ND 58501 2668685 24.16583333333333 +300 SW 10th Ave, Topeka, KS 66612 Oregon State Capitol, 900 Court St NE, Salem, OR 97301 2925507 26.209444444444443 +Georgia State Capitol, Atlanta, GA 30334 Rhode Island State House, 82 Smith Street, Providence, RI 02903 1687443 15.93 +Louisiana State Capitol, Baton Rouge, LA 70802 New York State Capitol, State St. and Washington Ave, Albany, NY 12224 2390708 21.575277777777778 +Nevada State Capitol, Carson City, NV 89701 Utah State Capitol, Salt Lake City, UT 84103 880839 7.743611111111111 +402 S Monroe St, Tallahassee, FL 32301 South Carolina State House, 1100 Gervais Street, Columbia, SC 29201 570645 6.329722222222222 +North Carolina State Capitol, Raleigh, NC 27601 North Dakota State Capitol, Bismarck, ND 58501 2649871 24.302222222222223 +200 E Colfax Ave, Denver, CO 80203 North Carolina State Capitol, Raleigh, NC 27601 2688370 24.213333333333335 +500 E Capitol Ave, Pierre, SD 57501 West Virginia State Capitol, Charleston, WV 25317 2059330 18.691388888888888 +Nebraska State Capitol, 1445 K Street, Lincoln, NE 68509 State House, 107 North Main Street, Concord, NH 03303 2364261 22.52111111111111 +Louisiana State Capitol, Baton Rouge, LA 70802 Ohio State Capitol, 1 Capitol Square, Columbus, OH 43215 1553207 14.011944444444444 +400-498 N West St, Jackson, MS 39201 Nevada State Capitol, Carson City, NV 89701 3284019 30.118333333333332 +Alabama State Capitol, 600 Dexter Avenue, Montgomery, AL 36130 Illinois State Capitol, Springfield, IL 62756 1053119 9.519444444444444 +Missouri State Capitol, Jefferson City, MO 65101 Virginia State Capitol, Richmond, VA 23219 1532730 13.918333333333333 +Legislative Hall: The State Capitol, Legislative Avenue, Dover, DE 19901 Utah State Capitol, Salt Lake City, UT 84103 3490982 31.87527777777778 +Alabama State Capitol, 600 Dexter Avenue, Montgomery, AL 36130 Ohio State Capitol, 1 Capitol Square, Columbus, OH 43215 1059373 9.633333333333333 +Alabama State Capitol, 600 Dexter Avenue, Montgomery, AL 36130 300 SW 10th Ave, Topeka, KS 66612 1442611 12.900833333333333 +Pennsylvania State Capitol Building, North 3rd Street, Harrisburg, PA 17120 Wyoming State Capitol, Cheyenne, WY 82001 2580236 23.32777777777778 +Nebraska State Capitol, 1445 K Street, Lincoln, NE 68509 South Carolina State House, 1100 Gervais Street, Columbia, SC 29201 1909649 17.545833333333334 +Indiana State Capitol, Indianapolis, IN 46204 Iowa State Capitol, 1007 E Grand Ave, Des Moines, IA 50319 758123 7.004444444444444 +Connecticut State Capitol, 210 Capitol Ave, Hartford, CT 06106 Massachusetts State House, Boston, MA 02108 163033 1.6980555555555557 +300 SW 10th Ave, Topeka, KS 66612 Rhode Island State House, 82 Smith Street, Providence, RI 02903 2321198 21.662777777777777 +Arizona State Capitol, 1700 W Washington St, Phoenix, AZ 85007 Illinois State Capitol, Springfield, IL 62756 2502392 22.606944444444444 +Nevada State Capitol, Carson City, NV 89701 2 E Main St, Madison, WI 53703 3065319 27.260277777777777 +Arizona State Capitol, 1700 W Washington St, Phoenix, AZ 85007 400-498 N West St, Jackson, MS 39201 2366978 20.807222222222222 +Indiana State Capitol, Indianapolis, IN 46204 Rhode Island State House, 82 Smith Street, Providence, RI 02903 1446931 13.763333333333334 +Maryland State House, 100 State Cir, Annapolis, MD 21401 500 E Capitol Ave, Pierre, SD 57501 2446586 22.220277777777778 +Arizona State Capitol, 1700 W Washington St, Phoenix, AZ 85007 Massachusetts State House, Boston, MA 02108 4261483 38.669444444444444 +500 E Capitol Ave, Pierre, SD 57501 Vermont State House, 115 State Street, Montpelier, VT 05633 2804324 26.13222222222222 +Vermont State House, 115 State Street, Montpelier, VT 05633 Washington State Capitol Bldg, 416 Sid Snyder Ave SW, Olympia, WA 98504 4928200 45.08638888888889 +Illinois State Capitol, Springfield, IL 62756 Utah State Capitol, Salt Lake City, UT 84103 2121657 19.371388888888887 +Montana State Capitol, 1301 E 6th Ave, Helena, MT 59601 2 E Main St, Madison, WI 53703 2099306 19.149166666666666 +North Dakota State Capitol, Bismarck, ND 58501 Rhode Island State House, 82 Smith Street, Providence, RI 02903 2907302 26.524444444444445 +700 W Jefferson St, Boise, ID 83720 West Virginia State Capitol, Charleston, WV 25317 3421174 30.551666666666666 +300 SW 10th Ave, Topeka, KS 66612 Wyoming State Capitol, Cheyenne, WY 82001 1016304 8.745555555555555 +Georgia State Capitol, Atlanta, GA 30334 Maryland State House, 100 State Cir, Annapolis, MD 21401 1082137 9.9925 +South Carolina State House, 1100 Gervais Street, Columbia, SC 29201 Texas Capitol, 1100 Congress Avenue, Austin, TX 78701 1870907 16.675833333333333 +North Carolina State Capitol, Raleigh, NC 27601 500 E Capitol Ave, Pierre, SD 57501 2566101 23.543055555555554 +Maine State House, Augusta, ME 04330 Wyoming State Capitol, Cheyenne, WY 82001 3349736 30.32638888888889 +Alabama State Capitol, 600 Dexter Avenue, Montgomery, AL 36130 Montana State Capitol, 1301 E 6th Ave, Helena, MT 59601 3364264 30.154166666666665 +L St & 10th St, Sacramento, CA 95814 State House, 107 North Main Street, Concord, NH 03303 4819339 44.10638888888889 +Arkansas State Capitol, 500 Woodlane Street, Little Rock, AR 72201 Nevada State Capitol, Carson City, NV 89701 3008237 27.350833333333334 +Nebraska State Capitol, 1445 K Street, Lincoln, NE 68509 Pennsylvania State Capitol Building, North 3rd Street, Harrisburg, PA 17120 1875100 17.163611111111113 +L St & 10th St, Sacramento, CA 95814 Maryland State House, 100 State Cir, Annapolis, MD 21401 4434054 39.71194444444444 +Louisiana State Capitol, Baton Rouge, LA 70802 Vermont State House, 115 State Street, Montpelier, VT 05633 2643406 24.621944444444445 +700 W Jefferson St, Boise, ID 83720 Michigan State Capitol, Lansing, MI 48933 3051430 27.051388888888887 +Michigan State Capitol, Lansing, MI 48933 500 E Capitol Ave, Pierre, SD 57501 1631881 14.58611111111111 +Alabama State Capitol, 600 Dexter Avenue, Montgomery, AL 36130 Maryland State House, 100 State Cir, Annapolis, MD 21401 1340229 12.249444444444444 +Tennessee State Capitol, 600 Charlotte Avenue, Nashville, TN 37243 Utah State Capitol, Salt Lake City, UT 84103 2629654 23.787777777777777 +Maryland State House, 100 State Cir, Annapolis, MD 21401 New Jersey State House, Trenton, NJ 08608 262813 2.633611111111111 +Nevada State Capitol, Carson City, NV 89701 State House, 107 North Main Street, Concord, NH 03303 4648498 42.49944444444444 +Connecticut State Capitol, 210 Capitol Ave, Hartford, CT 06106 Nevada State Capitol, Carson City, NV 89701 4507409 40.7575 +Maine State House, Augusta, ME 04330 West Virginia State Capitol, Charleston, WV 25317 1458292 13.589166666666667 +200 E Colfax Ave, Denver, CO 80203 North Dakota State Capitol, Bismarck, ND 58501 1115101 10.553333333333333 +Nevada State Capitol, Carson City, NV 89701 Oregon State Capitol, 900 Court St NE, Salem, OR 97301 832440 8.6625 +Connecticut State Capitol, 210 Capitol Ave, Hartford, CT 06106 Oregon State Capitol, 900 Court St NE, Salem, OR 97301 4892402 44.316944444444445 +Montana State Capitol, 1301 E 6th Ave, Helena, MT 59601 New Mexico State Capitol, Santa Fe, NM 87501 1899972 16.586111111111112 +New Jersey State House, Trenton, NJ 08608 Oregon State Capitol, 900 Court St NE, Salem, OR 97301 4712435 42.61805555555556 +Illinois State Capitol, Springfield, IL 62756 Missouri State Capitol, Jefferson City, MO 65101 335367 3.391111111111111 +New York State Capitol, State St. and Washington Ave, Albany, NY 12224 Texas Capitol, 1100 Congress Avenue, Austin, TX 78701 2969380 26.964444444444446 +402 S Monroe St, Tallahassee, FL 32301 Indiana State Capitol, Indianapolis, IN 46204 1253894 11.976666666666667 +Maine State House, Augusta, ME 04330 Minnesota State Capitol, St Paul, MN 55155 2483764 22.751666666666665 +Maryland State House, 100 State Cir, Annapolis, MD 21401 Massachusetts State House, Boston, MA 02108 686203 6.848611111111111 +400-498 N West St, Jackson, MS 39201 New York State Capitol, State St. and Washington Ave, Albany, NY 12224 2126538 19.275555555555556 +Nebraska State Capitol, 1445 K Street, Lincoln, NE 68509 2 E Main St, Madison, WI 53703 781082 7.281944444444444 +200 E Colfax Ave, Denver, CO 80203 Connecticut State Capitol, 210 Capitol Ave, Hartford, CT 06106 3023952 27.3175 +Michigan State Capitol, Lansing, MI 48933 Missouri State Capitol, Jefferson City, MO 65101 960368 8.884722222222223 +Georgia State Capitol, Atlanta, GA 30334 Minnesota State Capitol, St Paul, MN 55155 1803693 16.06972222222222 +300 SW 10th Ave, Topeka, KS 66612 New Mexico State Capitol, Santa Fe, NM 87501 1113558 10.723333333333333 +Legislative Hall: The State Capitol, Legislative Avenue, Dover, DE 19901 Minnesota State Capitol, St Paul, MN 55155 1917773 17.89361111111111 +Georgia State Capitol, Atlanta, GA 30334 Massachusetts State House, Boston, MA 02108 1737475 16.463055555555556 +New Mexico State Capitol, Santa Fe, NM 87501 Tennessee State Capitol, 600 Charlotte Avenue, Nashville, TN 37243 1948400 17.435833333333335 +Iowa State Capitol, 1007 E Grand Ave, Des Moines, IA 50319 Maine State House, Augusta, ME 04330 2338330 21.378055555555555 +Legislative Hall: The State Capitol, Legislative Avenue, Dover, DE 19901 Oklahoma State Capitol, Oklahoma City, OK 73105 2249555 20.97888888888889 +Arkansas State Capitol, 500 Woodlane Street, Little Rock, AR 72201 Nebraska State Capitol, 1445 K Street, Lincoln, NE 68509 993281 9.273055555555555 +200 E Colfax Ave, Denver, CO 80203 Rhode Island State House, 82 Smith Street, Providence, RI 02903 3149582 28.52111111111111 +L St & 10th St, Sacramento, CA 95814 Pennsylvania State Capitol Building, North 3rd Street, Harrisburg, PA 17120 4330179 38.74888888888889 +402 S Monroe St, Tallahassee, FL 32301 Montana State Capitol, 1301 E 6th Ave, Helena, MT 59601 3703198 33.8 +400-498 N West St, Jackson, MS 39201 Nebraska State Capitol, 1445 K Street, Lincoln, NE 68509 1371664 13.203611111111112 +Louisiana State Capitol, Baton Rouge, LA 70802 Massachusetts State House, Boston, MA 02108 2546224 23.336111111111112 +L St & 10th St, Sacramento, CA 95814 North Carolina State Capitol, Raleigh, NC 27601 4499451 40.45944444444444 +Michigan State Capitol, Lansing, MI 48933 Minnesota State Capitol, St Paul, MN 55155 1004428 9.137777777777778 +Oklahoma State Capitol, Oklahoma City, OK 73105 Tennessee State Capitol, 600 Charlotte Avenue, Nashville, TN 37243 1092426 9.8425 +Connecticut State Capitol, 210 Capitol Ave, Hartford, CT 06106 Kentucky State Capitol Building, 700 Capitol Avenue, Frankfort, KY 40601 1369160 12.65638888888889 +Alabama State Capitol, 600 Dexter Avenue, Montgomery, AL 36130 Massachusetts State House, Boston, MA 02108 1995567 18.72 +300 SW 10th Ave, Topeka, KS 66612 North Carolina State Capitol, Raleigh, NC 27601 1821308 16.68722222222222 +200 E Colfax Ave, Denver, CO 80203 Oregon State Capitol, 900 Court St NE, Salem, OR 97301 2072303 19.064722222222223 +Kentucky State Capitol Building, 700 Capitol Avenue, Frankfort, KY 40601 Pennsylvania State Capitol Building, North 3rd Street, Harrisburg, PA 17120 905401 8.324722222222222 +Maine State House, Augusta, ME 04330 Texas Capitol, 1100 Congress Avenue, Austin, TX 78701 3405003 31.066388888888888 +400-498 N West St, Jackson, MS 39201 Vermont State House, 115 State Street, Montpelier, VT 05633 2379235 22.322222222222223 +Nebraska State Capitol, 1445 K Street, Lincoln, NE 68509 Oregon State Capitol, 900 Court St NE, Salem, OR 97301 2651879 23.929444444444446 +200 E Colfax Ave, Denver, CO 80203 Ohio State Capitol, 1 Capitol Square, Columbus, OH 43215 2024609 18.102777777777778 +Alabama State Capitol, 600 Dexter Avenue, Montgomery, AL 36130 Virginia State Capitol, Richmond, VA 23219 1111807 10.0725 +Vermont State House, 115 State Street, Montpelier, VT 05633 West Virginia State Capitol, Charleston, WV 25317 1307877 12.747777777777777 +200 E Colfax Ave, Denver, CO 80203 South Carolina State House, 1100 Gervais Street, Columbia, SC 29201 2564693 22.948333333333334 +South Carolina State House, 1100 Gervais Street, Columbia, SC 29201 West Virginia State Capitol, Charleston, WV 25317 569053 5.368888888888889 +Alabama State Capitol, 600 Dexter Avenue, Montgomery, AL 36130 400-498 N West St, Jackson, MS 39201 399927 4.009444444444444 +Louisiana State Capitol, Baton Rouge, LA 70802 Minnesota State Capitol, St Paul, MN 55155 1900670 17.549166666666668 +Kentucky State Capitol Building, 700 Capitol Avenue, Frankfort, KY 40601 Vermont State House, 115 State Street, Montpelier, VT 05633 1492754 14.696666666666667 +New Mexico State Capitol, Santa Fe, NM 87501 2 E Main St, Madison, WI 53703 2012902 18.82138888888889 +New York State Capitol, State St. and Washington Ave, Albany, NY 12224 Pennsylvania State Capitol Building, North 3rd Street, Harrisburg, PA 17120 473386 4.486944444444444 +State House, 107 North Main Street, Concord, NH 03303 500 E Capitol Ave, Pierre, SD 57501 2843784 26.504166666666666 +Alabama State Capitol, 600 Dexter Avenue, Montgomery, AL 36130 Minnesota State Capitol, St Paul, MN 55155 1857595 16.41888888888889 +Maryland State House, 100 State Cir, Annapolis, MD 21401 Nebraska State Capitol, 1445 K Street, Lincoln, NE 68509 1980198 18.176388888888887 +Indiana State Capitol, Indianapolis, IN 46204 Kentucky State Capitol Building, 700 Capitol Avenue, Frankfort, KY 40601 267015 2.671388888888889 +Maine State House, Augusta, ME 04330 Missouri State Capitol, Jefferson City, MO 65101 2364114 21.656388888888888 +200 E Colfax Ave, Denver, CO 80203 Tennessee State Capitol, 600 Charlotte Avenue, Nashville, TN 37243 1857910 16.49972222222222 +Legislative Hall: The State Capitol, Legislative Avenue, Dover, DE 19901 North Dakota State Capitol, Bismarck, ND 58501 2615571 23.998333333333335 +300 SW 10th Ave, Topeka, KS 66612 Oklahoma State Capitol, Oklahoma City, OK 73105 473488 4.159722222222222 +Arizona State Capitol, 1700 W Washington St, Phoenix, AZ 85007 Minnesota State Capitol, St Paul, MN 55155 2649346 24.74138888888889 +Rhode Island State House, 82 Smith Street, Providence, RI 02903 Tennessee State Capitol, 600 Charlotte Avenue, Nashville, TN 37243 1729221 15.988611111111112 +North Carolina State Capitol, Raleigh, NC 27601 Utah State Capitol, Salt Lake City, UT 84103 3456831 31.470833333333335 +402 S Monroe St, Tallahassee, FL 32301 Georgia State Capitol, Atlanta, GA 30334 420539 4.3533333333333335 +200 E Colfax Ave, Denver, CO 80203 Nebraska State Capitol, 1445 K Street, Lincoln, NE 68509 779919 6.818888888888889 +Kentucky State Capitol Building, 700 Capitol Avenue, Frankfort, KY 40601 New Mexico State Capitol, Santa Fe, NM 87501 2160641 19.406111111111112 +Pennsylvania State Capitol Building, North 3rd Street, Harrisburg, PA 17120 South Carolina State House, 1100 Gervais Street, Columbia, SC 29201 917431 8.471944444444444 +Nebraska State Capitol, 1445 K Street, Lincoln, NE 68509 Wyoming State Capitol, Cheyenne, WY 82001 713490 6.3675 +700 W Jefferson St, Boise, ID 83720 Montana State Capitol, 1301 E 6th Ave, Helena, MT 59601 782531 7.341388888888889 +Legislative Hall: The State Capitol, Legislative Avenue, Dover, DE 19901 Nevada State Capitol, Carson City, NV 89701 4337141 39.470555555555556 +Indiana State Capitol, Indianapolis, IN 46204 North Dakota State Capitol, Bismarck, ND 58501 1640234 14.748055555555556 +Massachusetts State House, Boston, MA 02108 Wyoming State Capitol, Cheyenne, WY 82001 3101206 28.11722222222222 +Maine State House, Augusta, ME 04330 Oklahoma State Capitol, Oklahoma City, OK 73105 2959307 26.874444444444446 +Nebraska State Capitol, 1445 K Street, Lincoln, NE 68509 Utah State Capitol, Salt Lake City, UT 84103 1420727 12.774444444444445 +Indiana State Capitol, Indianapolis, IN 46204 Montana State Capitol, 1301 E 6th Ave, Helena, MT 59601 2624064 23.901944444444446 +Illinois State Capitol, Springfield, IL 62756 500 E Capitol Ave, Pierre, SD 57501 1322600 11.902777777777779 +300 SW 10th Ave, Topeka, KS 66612 Montana State Capitol, 1301 E 6th Ave, Helena, MT 59601 1992901 18.201944444444443 +Michigan State Capitol, Lansing, MI 48933 2 E Main St, Madison, WI 53703 597506 5.591111111111111 +Minnesota State Capitol, St Paul, MN 55155 Pennsylvania State Capitol Building, North 3rd Street, Harrisburg, PA 17120 1708022 15.726944444444445 +400-498 N West St, Jackson, MS 39201 Ohio State Capitol, 1 Capitol Square, Columbus, OH 43215 1270368 11.52361111111111 +L St & 10th St, Sacramento, CA 95814 New Mexico State Capitol, Santa Fe, NM 87501 1836427 16.634166666666665 +Iowa State Capitol, 1007 E Grand Ave, Des Moines, IA 50319 Oregon State Capitol, 900 Court St NE, Salem, OR 97301 2950421 26.576666666666668 +Missouri State Capitol, Jefferson City, MO 65101 South Carolina State House, 1100 Gervais Street, Columbia, SC 29201 1412471 12.889166666666666 +Kentucky State Capitol Building, 700 Capitol Avenue, Frankfort, KY 40601 Ohio State Capitol, 1 Capitol Square, Columbus, OH 43215 299648 3.1172222222222223 +300 SW 10th Ave, Topeka, KS 66612 South Carolina State House, 1100 Gervais Street, Columbia, SC 29201 1697631 15.422222222222222 +South Carolina State House, 1100 Gervais Street, Columbia, SC 29201 500 E Capitol Ave, Pierre, SD 57501 2535022 22.758055555555554 +402 S Monroe St, Tallahassee, FL 32301 Virginia State Capitol, Richmond, VA 23219 1225602 10.708333333333334 +Kentucky State Capitol Building, 700 Capitol Avenue, Frankfort, KY 40601 Texas Capitol, 1100 Congress Avenue, Austin, TX 78701 1711975 15.538055555555555 +Maryland State House, 100 State Cir, Annapolis, MD 21401 400-498 N West St, Jackson, MS 39201 1637909 14.934722222222222 +Kentucky State Capitol Building, 700 Capitol Avenue, Frankfort, KY 40601 Missouri State Capitol, Jefferson City, MO 65101 711404 6.59 +Arkansas State Capitol, 500 Woodlane Street, Little Rock, AR 72201 Tennessee State Capitol, 600 Charlotte Avenue, Nashville, TN 37243 561239 5.164444444444444 +Georgia State Capitol, Atlanta, GA 30334 West Virginia State Capitol, Charleston, WV 25317 804715 7.476944444444444 +Louisiana State Capitol, Baton Rouge, LA 70802 New Mexico State Capitol, Santa Fe, NM 87501 1713974 15.636388888888888 +Minnesota State Capitol, St Paul, MN 55155 State House, 107 North Main Street, Concord, NH 03303 2197183 21.084444444444443 +Connecticut State Capitol, 210 Capitol Ave, Hartford, CT 06106 South Carolina State House, 1100 Gervais Street, Columbia, SC 29201 1326907 12.3975 +300 SW 10th Ave, Topeka, KS 66612 2 E Main St, Madison, WI 53703 885264 8.190833333333334 +Iowa State Capitol, 1007 E Grand Ave, Des Moines, IA 50319 Rhode Island State House, 82 Smith Street, Providence, RI 02903 2069524 19.095277777777778 +Maine State House, Augusta, ME 04330 State House, 107 North Main Street, Concord, NH 03303 276259 2.623611111111111 +Iowa State Capitol, 1007 E Grand Ave, Des Moines, IA 50319 300 SW 10th Ave, Topeka, KS 66612 412567 3.7730555555555556 +Illinois State Capitol, Springfield, IL 62756 New Jersey State House, Trenton, NJ 08608 1409179 13.11138888888889 +Texas Capitol, 1100 Congress Avenue, Austin, TX 78701 Utah State Capitol, Salt Lake City, UT 84103 2078970 20.267222222222223 +Alabama State Capitol, 600 Dexter Avenue, Montgomery, AL 36130 Utah State Capitol, Salt Lake City, UT 84103 3078983 27.696666666666665 +Montana State Capitol, 1301 E 6th Ave, Helena, MT 59601 South Carolina State House, 1100 Gervais Street, Columbia, SC 29201 3618995 32.575 +Alabama State Capitol, 600 Dexter Avenue, Montgomery, AL 36130 2 E Main St, Madison, WI 53703 1450674 12.872222222222222 +Louisiana State Capitol, Baton Rouge, LA 70802 Tennessee State Capitol, 600 Charlotte Avenue, Nashville, TN 37243 950242 8.470555555555556 +Kentucky State Capitol Building, 700 Capitol Avenue, Frankfort, KY 40601 400-498 N West St, Jackson, MS 39201 998879 9.043611111111112 +Connecticut State Capitol, 210 Capitol Ave, Hartford, CT 06106 Maine State House, Augusta, ME 04330 410528 3.8625 +Maine State House, Augusta, ME 04330 Rhode Island State House, 82 Smith Street, Providence, RI 02903 348608 3.3652777777777776 +Ohio State Capitol, 1 Capitol Square, Columbus, OH 43215 Texas Capitol, 1100 Congress Avenue, Austin, TX 78701 1987338 18.030555555555555 +Tennessee State Capitol, 600 Charlotte Avenue, Nashville, TN 37243 2 E Main St, Madison, WI 53703 1001345 8.963055555555556 +Washington State Capitol Bldg, 416 Sid Snyder Ave SW, Olympia, WA 98504 Wyoming State Capitol, Cheyenne, WY 82001 2041131 18.416944444444443 +Kentucky State Capitol Building, 700 Capitol Avenue, Frankfort, KY 40601 Virginia State Capitol, Richmond, VA 23219 827652 7.616388888888889 +Louisiana State Capitol, Baton Rouge, LA 70802 North Carolina State Capitol, Raleigh, NC 27601 1500710 13.439722222222223 +Oklahoma State Capitol, Oklahoma City, OK 73105 Rhode Island State House, 82 Smith Street, Providence, RI 02903 2630826 24.329722222222223 +Massachusetts State House, Boston, MA 02108 Virginia State Capitol, Richmond, VA 23219 888608 8.704166666666667 +Maryland State House, 100 State Cir, Annapolis, MD 21401 Rhode Island State House, 82 Smith Street, Providence, RI 02903 636172 6.315555555555555 +402 S Monroe St, Tallahassee, FL 32301 Oklahoma State Capitol, Oklahoma City, OK 73105 1613562 15.234444444444444 +Arizona State Capitol, 1700 W Washington St, Phoenix, AZ 85007 2 E Main St, Madison, WI 53703 2729787 25.70916666666667 +L St & 10th St, Sacramento, CA 95814 Oregon State Capitol, 900 Court St NE, Salem, OR 97301 861505 8.210833333333333 +Kentucky State Capitol Building, 700 Capitol Avenue, Frankfort, KY 40601 Minnesota State Capitol, St Paul, MN 55155 1205997 11.106111111111112 +Iowa State Capitol, 1007 E Grand Ave, Des Moines, IA 50319 Maryland State House, 100 State Cir, Annapolis, MD 21401 1672128 15.351666666666667 +Louisiana State Capitol, Baton Rouge, LA 70802 Michigan State Capitol, Lansing, MI 48933 1767813 15.742222222222223 +700 W Jefferson St, Boise, ID 83720 New Jersey State House, Trenton, NJ 08608 3956849 35.416111111111114 +Kentucky State Capitol Building, 700 Capitol Avenue, Frankfort, KY 40601 Rhode Island State House, 82 Smith Street, Providence, RI 02903 1475019 13.7275 +402 S Monroe St, Tallahassee, FL 32301 Utah State Capitol, Salt Lake City, UT 84103 3417917 31.342777777777776 +Arizona State Capitol, 1700 W Washington St, Phoenix, AZ 85007 South Carolina State House, 1100 Gervais Street, Columbia, SC 29201 3317609 29.146944444444443 +Minnesota State Capitol, St Paul, MN 55155 Wyoming State Capitol, Cheyenne, WY 82001 1404993 12.471111111111112 +South Carolina State House, 1100 Gervais Street, Columbia, SC 29201 Vermont State House, 115 State Street, Montpelier, VT 05633 1641637 15.272222222222222 +Georgia State Capitol, Atlanta, GA 30334 New Mexico State Capitol, Santa Fe, NM 87501 2222203 20.036666666666665 +Connecticut State Capitol, 210 Capitol Ave, Hartford, CT 06106 Michigan State Capitol, Lansing, MI 48933 1163752 10.827222222222222 +Indiana State Capitol, Indianapolis, IN 46204 Ohio State Capitol, 1 Capitol Square, Columbus, OH 43215 283280 2.6772222222222224 +New Mexico State Capitol, Santa Fe, NM 87501 Vermont State House, 115 State Street, Montpelier, VT 05633 3522278 32.493611111111115 +Oklahoma State Capitol, Oklahoma City, OK 73105 Oregon State Capitol, 900 Court St NE, Salem, OR 97301 3141325 28.153333333333332 +Kentucky State Capitol Building, 700 Capitol Avenue, Frankfort, KY 40601 Montana State Capitol, 1301 E 6th Ave, Helena, MT 59601 2895779 26.269444444444446 +Arizona State Capitol, 1700 W Washington St, Phoenix, AZ 85007 New Jersey State House, Trenton, NJ 08608 3802612 34.59861111111111 +Legislative Hall: The State Capitol, Legislative Avenue, Dover, DE 19901 New Jersey State House, Trenton, NJ 08608 188117 1.8747222222222222 +Indiana State Capitol, Indianapolis, IN 46204 North Carolina State Capitol, Raleigh, NC 27601 1014212 9.731944444444444 +Missouri State Capitol, Jefferson City, MO 65101 Washington State Capitol Bldg, 416 Sid Snyder Ave SW, Olympia, WA 98504 3273298 29.595555555555556 +Arkansas State Capitol, 500 Woodlane Street, Little Rock, AR 72201 Texas Capitol, 1100 Congress Avenue, Austin, TX 78701 826451 7.4655555555555555 +700 W Jefferson St, Boise, ID 83720 Indiana State Capitol, Indianapolis, IN 46204 2949186 26.229166666666668 +200 E Colfax Ave, Denver, CO 80203 Missouri State Capitol, Jefferson City, MO 65101 1219182 10.786388888888888 +L St & 10th St, Sacramento, CA 95814 Kentucky State Capitol Building, 700 Capitol Avenue, Frankfort, KY 40601 3675274 32.87861111111111 +300 SW 10th Ave, Topeka, KS 66612 Kentucky State Capitol Building, 700 Capitol Avenue, Frankfort, KY 40601 997131 9.106666666666667 +200 E Colfax Ave, Denver, CO 80203 Montana State Capitol, 1301 E 6th Ave, Helena, MT 59601 1272393 11.210833333333333 +State House, 107 North Main Street, Concord, NH 03303 Ohio State Capitol, 1 Capitol Square, Columbus, OH 43215 1227308 11.992222222222223 +Iowa State Capitol, 1007 E Grand Ave, Des Moines, IA 50319 400-498 N West St, Jackson, MS 39201 1325240 12.133333333333333 +Connecticut State Capitol, 210 Capitol Ave, Hartford, CT 06106 Ohio State Capitol, 1 Capitol Square, Columbus, OH 43215 1063689 9.881944444444445 +Legislative Hall: The State Capitol, Legislative Avenue, Dover, DE 19901 2 E Main St, Madison, WI 53703 1510851 14.346666666666666 +200 E Colfax Ave, Denver, CO 80203 Virginia State Capitol, Richmond, VA 23219 2684952 23.977777777777778 +400-498 N West St, Jackson, MS 39201 New Mexico State Capitol, Santa Fe, NM 87501 1678832 15.328055555555556 +Arizona State Capitol, 1700 W Washington St, Phoenix, AZ 85007 Oregon State Capitol, 900 Court St NE, Salem, OR 97301 2072368 19.018333333333334 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23.79361111111111 +Iowa State Capitol, 1007 E Grand Ave, Des Moines, IA 50319 Virginia State Capitol, Richmond, VA 23219 1775724 16.274722222222223 +New Mexico State Capitol, Santa Fe, NM 87501 New York State Capitol, State St. and Washington Ave, Albany, NY 12224 3311587 29.805555555555557 +700 W Jefferson St, Boise, ID 83720 Maine State House, Augusta, ME 04330 4530828 40.665 +700 W Jefferson St, Boise, ID 83720 New Mexico State Capitol, Santa Fe, NM 87501 1550056 14.786944444444444 +Legislative Hall: The State Capitol, Legislative Avenue, Dover, DE 19901 Maine State House, Augusta, ME 04330 859002 8.254166666666666 +Nebraska State Capitol, 1445 K Street, Lincoln, NE 68509 North Dakota State Capitol, Bismarck, ND 58501 1067013 9.260277777777778 +Massachusetts State House, Boston, MA 02108 State House, 107 North Main Street, Concord, NH 03303 122084 1.2683333333333333 +200 E Colfax Ave, Denver, CO 80203 Wyoming State Capitol, Cheyenne, WY 82001 163100 1.6005555555555555 +Michigan State Capitol, Lansing, MI 48933 Tennessee State Capitol, 600 Charlotte Avenue, Nashville, TN 37243 865309 7.960277777777778 +Massachusetts State House, Boston, MA 02108 South Carolina State House, 1100 Gervais Street, Columbia, SC 29201 1483905 13.944166666666666 +New Mexico State Capitol, Santa Fe, NM 87501 West Virginia State Capitol, Charleston, WV 25317 2475742 22.078055555555554 +Connecticut State Capitol, 210 Capitol Ave, Hartford, CT 06106 New Mexico State Capitol, Santa Fe, NM 87501 3392652 30.780277777777776 +Massachusetts State House, Boston, MA 02108 Nebraska State Capitol, 1445 K Street, Lincoln, NE 68509 2396299 21.946944444444444 +Georgia State Capitol, Atlanta, GA 30334 Montana State Capitol, 1301 E 6th Ave, Helena, MT 59601 3310362 29.805 +200 E Colfax Ave, Denver, CO 80203 400-498 N West St, Jackson, MS 39201 1929525 17.800833333333333 +Minnesota State Capitol, St Paul, MN 55155 Oklahoma State Capitol, Oklahoma City, OK 73105 1265804 11.178055555555556 +Minnesota State Capitol, St Paul, MN 55155 Tennessee State Capitol, 600 Charlotte Avenue, Nashville, TN 37243 1404656 12.47888888888889 +Nevada State Capitol, Carson City, NV 89701 Tennessee State Capitol, 600 Charlotte Avenue, Nashville, TN 37243 3498150 31.13888888888889 +Rhode Island State House, 82 Smith Street, Providence, RI 02903 2 E Main St, Madison, WI 53703 1807993 16.895555555555557 +North Dakota State Capitol, Bismarck, ND 58501 Texas Capitol, 1100 Congress Avenue, Austin, TX 78701 2117504 20.38722222222222 +Illinois State Capitol, Springfield, IL 62756 Maine State House, Augusta, ME 04330 2107868 19.36722222222222 +New Mexico State Capitol, Santa Fe, NM 87501 South Carolina State House, 1100 Gervais Street, Columbia, SC 29201 2564803 22.93166666666667 +Arkansas State Capitol, 500 Woodlane Street, Little Rock, AR 72201 West Virginia State Capitol, Charleston, WV 25317 1187217 10.837222222222222 +Maine State House, Augusta, ME 04330 Pennsylvania State Capitol Building, North 3rd Street, Harrisburg, PA 17120 876031 8.362777777777778 +Minnesota State Capitol, St Paul, MN 55155 Utah State Capitol, Salt Lake City, UT 84103 2018129 18.496111111111112 +Oregon State Capitol, 900 Court St NE, Salem, OR 97301 Texas Capitol, 1100 Congress Avenue, Austin, TX 78701 3379043 31.99888888888889 +700 W Jefferson St, Boise, ID 83720 Utah State Capitol, Salt Lake City, UT 84103 544207 4.828333333333333 +Connecticut State Capitol, 210 Capitol Ave, Hartford, CT 06106 New Jersey State House, Trenton, NJ 08608 292803 3.0347222222222223 +Nevada State Capitol, Carson City, NV 89701 New Jersey State House, Trenton, NJ 08608 4355435 38.8825 +North Carolina State Capitol, Raleigh, NC 27601 Oklahoma State Capitol, Oklahoma City, OK 73105 1956768 17.853055555555557 +North Carolina State Capitol, Raleigh, NC 27601 Rhode Island State House, 82 Smith Street, Providence, RI 02903 1107472 10.61138888888889 +Rhode Island State House, 82 Smith Street, Providence, RI 02903 500 E Capitol Ave, Pierre, SD 57501 2842367 25.890555555555554 +700 W Jefferson St, Boise, ID 83720 Oregon State Capitol, 900 Court St NE, Salem, OR 97301 765315 7.364444444444445 +Alabama State Capitol, 600 Dexter Avenue, Montgomery, AL 36130 Legislative Hall: The State Capitol, Legislative Avenue, Dover, DE 19901 1438743 13.418055555555556 +Legislative Hall: The State Capitol, Legislative Avenue, Dover, DE 19901 West Virginia State Capitol, Charleston, WV 25317 722915 6.932777777777778 +Connecticut State Capitol, 210 Capitol Ave, Hartford, CT 06106 Wyoming State Capitol, Cheyenne, WY 82001 2954014 26.755 +Indiana State Capitol, Indianapolis, IN 46204 Oregon State Capitol, 900 Court St NE, Salem, OR 97301 3707961 33.49333333333333 +New York State Capitol, State St. and Washington Ave, Albany, NY 12224 West Virginia State Capitol, Charleston, WV 25317 1055647 9.713055555555556 +Illinois State Capitol, Springfield, IL 62756 Oregon State Capitol, 900 Court St NE, Salem, OR 97301 3352808 30.52611111111111 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59601 3080815 28.288055555555555 +Arkansas State Capitol, 500 Woodlane Street, Little Rock, AR 72201 400-498 N West St, Jackson, MS 39201 410924 4.3116666666666665 +Oklahoma State Capitol, Oklahoma City, OK 73105 2 E Main St, Madison, WI 53703 1345956 12.126388888888888 +Arkansas State Capitol, 500 Woodlane Street, Little Rock, AR 72201 Michigan State Capitol, Lansing, MI 48933 1344347 12.05 +400-498 N West St, Jackson, MS 39201 North Dakota State Capitol, Bismarck, ND 58501 2327096 21.09027777777778 +Alabama State Capitol, 600 Dexter Avenue, Montgomery, AL 36130 Arizona State Capitol, 1700 W Washington St, Phoenix, AZ 85007 2758173 24.61138888888889 +Arizona State Capitol, 1700 W Washington St, Phoenix, AZ 85007 Maine State House, Augusta, ME 04330 4508978 40.833888888888886 +Alabama State Capitol, 600 Dexter Avenue, Montgomery, AL 36130 Indiana State Capitol, Indianapolis, IN 46204 914961 8.330833333333333 +200 E Colfax Ave, Denver, CO 80203 Massachusetts State House, Boston, MA 02108 3170892 28.639166666666668 +North Dakota State Capitol, Bismarck, ND 58501 Vermont State House, 115 State Street, Montpelier, VT 05633 2874965 26.795 +Massachusetts State House, Boston, MA 02108 Rhode Island State House, 82 Smith Street, Providence, RI 02903 80922 0.9569444444444445 +Oregon State Capitol, 900 Court St NE, Salem, OR 97301 Virginia State Capitol, Richmond, VA 23219 4686106 42.285555555555554 +Georgia State Capitol, Atlanta, GA 30334 Oregon State Capitol, 900 Court St NE, Salem, OR 97301 4256232 38.5025 +Indiana State Capitol, Indianapolis, IN 46204 State House, 107 North Main Street, Concord, NH 03303 1494753 14.639166666666666 +Arizona State Capitol, 1700 W Washington St, Phoenix, AZ 85007 Pennsylvania State Capitol Building, North 3rd Street, Harrisburg, PA 17120 3606514 32.85805555555555 +Arizona State Capitol, 1700 W Washington St, Phoenix, AZ 85007 Wyoming State Capitol, Cheyenne, WY 82001 1475490 13.96 +Illinois State Capitol, Springfield, IL 62756 Ohio State Capitol, 1 Capitol Square, Columbus, OH 43215 623156 5.752777777777778 +500 E Capitol Ave, Pierre, SD 57501 2 E Main St, Madison, WI 53703 1044717 9.381388888888889 +Minnesota State Capitol, St Paul, MN 55155 Nebraska State Capitol, 1445 K Street, Lincoln, NE 68509 700086 6.300833333333333 +Rhode Island State House, 82 Smith Street, Providence, RI 02903 Washington State Capitol Bldg, 416 Sid Snyder Ave SW, Olympia, WA 98504 4958571 44.74611111111111 +Georgia State Capitol, Atlanta, GA 30334 Vermont State House, 115 State Street, Montpelier, VT 05633 1899060 17.810833333333335 +Massachusetts State House, Boston, MA 02108 Pennsylvania State Capitol Building, North 3rd Street, Harrisburg, PA 17120 627502 6.153611111111111 +Maine State House, Augusta, ME 04330 Michigan State Capitol, Lansing, MI 48933 1501673 13.915 +300 SW 10th Ave, Topeka, KS 66612 West Virginia State Capitol, Charleston, WV 25317 1312458 11.852777777777778 +Pennsylvania State Capitol Building, North 3rd Street, Harrisburg, PA 17120 Tennessee State Capitol, 600 Charlotte Avenue, Nashville, TN 37243 1158389 10.587777777777777 +Michigan State Capitol, Lansing, MI 48933 North Carolina State Capitol, Raleigh, NC 27601 1188366 11.468333333333334 +300 SW 10th Ave, Topeka, KS 66612 State House, 107 North Main Street, Concord, NH 03303 2369020 22.538611111111113 +Georgia State Capitol, Atlanta, GA 30334 Nebraska State Capitol, 1445 K Street, Lincoln, NE 68509 1601210 14.720277777777778 +300 SW 10th Ave, Topeka, KS 66612 Louisiana State Capitol, Baton Rouge, LA 70802 1280134 12.777222222222223 +Kentucky State Capitol Building, 700 Capitol Avenue, Frankfort, KY 40601 Nevada State Capitol, Carson City, NV 89701 3479126 31.49888888888889 +Georgia State Capitol, Atlanta, GA 30334 South Carolina State House, 1100 Gervais Street, Columbia, SC 29201 344713 3.0719444444444446 +Louisiana State Capitol, Baton Rouge, LA 70802 State House, 107 North Main Street, Concord, NH 03303 2641198 24.147777777777776 +Ohio State Capitol, 1 Capitol Square, Columbus, OH 43215 Vermont State House, 115 State Street, Montpelier, VT 05633 1193740 11.68138888888889 +402 S Monroe St, Tallahassee, FL 32301 Tennessee State Capitol, 600 Charlotte Avenue, Nashville, TN 37243 790850 7.7125 +New Jersey State House, Trenton, NJ 08608 Ohio State Capitol, 1 Capitol Square, Columbus, OH 43215 785681 7.418333333333333 +Massachusetts State House, Boston, MA 02108 Montana State Capitol, 1301 E 6th Ave, Helena, MT 59601 3916863 35.80138888888889 +200 E Colfax Ave, Denver, CO 80203 Kentucky State Capitol Building, 700 Capitol Avenue, Frankfort, KY 40601 1864193 16.6325 +L St & 10th St, Sacramento, CA 95814 Massachusetts State House, Boston, MA 02108 4852761 43.57388888888889 +Arizona State Capitol, 1700 W Washington St, Phoenix, AZ 85007 500 E Capitol Ave, Pierre, SD 57501 2159926 20.214166666666667 +Arkansas State Capitol, 500 Woodlane Street, Little Rock, AR 72201 Maryland State House, 100 State Cir, Annapolis, MD 21401 1692816 15.496944444444445 +Alabama State Capitol, 600 Dexter Avenue, Montgomery, AL 36130 Michigan State Capitol, Lansing, MI 48933 1314610 11.880555555555556 +Maine State House, Augusta, ME 04330 Oregon State Capitol, 900 Court St NE, Salem, OR 97301 5288124 47.888333333333335 +Connecticut State Capitol, 210 Capitol Ave, Hartford, CT 06106 North Carolina State Capitol, Raleigh, NC 27601 1000236 9.589444444444444 +Legislative Hall: The State Capitol, Legislative Avenue, Dover, DE 19901 Montana State Capitol, 1301 E 6th Ave, Helena, MT 59601 3599401 33.15222222222222 +200 E Colfax Ave, Denver, CO 80203 Maryland State House, 100 State Cir, Annapolis, MD 21401 2704297 24.6175 +Louisiana State Capitol, Baton Rouge, LA 70802 Oklahoma State Capitol, Oklahoma City, OK 73105 1015864 9.211666666666666 +Legislative Hall: The State Capitol, Legislative Avenue, Dover, DE 19901 Texas Capitol, 1100 Congress Avenue, Austin, TX 78701 2611932 23.9675 +Michigan State Capitol, Lansing, MI 48933 New Mexico State Capitol, Santa Fe, NM 87501 2352926 21.808333333333334 +New Mexico State Capitol, Santa Fe, NM 87501 Oregon State Capitol, 900 Court St NE, Salem, OR 97301 2308293 21.89527777777778 +Georgia State Capitol, Atlanta, GA 30334 New York State Capitol, State St. and Washington Ave, Albany, NY 12224 1615880 14.783333333333333 +Maine State House, Augusta, ME 04330 Tennessee State Capitol, 600 Charlotte Avenue, Nashville, TN 37243 2025749 18.705277777777777 +Legislative Hall: The State Capitol, Legislative Avenue, Dover, DE 19901 Washington State Capitol Bldg, 416 Sid Snyder Ave SW, Olympia, WA 98504 4661429 42.1975 +Iowa State Capitol, 1007 E Grand Ave, Des Moines, IA 50319 Missouri State Capitol, Jefferson City, MO 65101 427240 4.4225 +Montana State Capitol, 1301 E 6th Ave, Helena, MT 59601 State House, 107 North Main Street, Concord, NH 03303 3879141 36.28 +Louisiana State Capitol, Baton Rouge, LA 70802 Utah State Capitol, Salt Lake City, UT 84103 2687549 25.205277777777777 +New York State Capitol, State St. and Washington Ave, Albany, NY 12224 Utah State Capitol, Salt Lake City, UT 84103 3544096 32.043055555555554 +Nebraska State Capitol, 1445 K Street, Lincoln, NE 68509 Texas Capitol, 1100 Congress Avenue, Austin, TX 78701 1319361 11.98638888888889 +700 W Jefferson St, Boise, ID 83720 Maryland State House, 100 State Cir, Annapolis, MD 21401 3864627 34.63861111111111 +Arkansas State Capitol, 500 Woodlane Street, Little Rock, AR 72201 Virginia State Capitol, Richmond, VA 23219 1547668 14.019444444444444 +Arizona State Capitol, 1700 W Washington St, Phoenix, AZ 85007 Georgia State Capitol, Atlanta, GA 30334 2974348 26.195833333333333 +Missouri State Capitol, Jefferson City, MO 65101 Tennessee State Capitol, 600 Charlotte Avenue, Nashville, TN 37243 705688 6.440555555555555 +Arizona State Capitol, 1700 W Washington St, Phoenix, AZ 85007 West Virginia State Capitol, Charleston, WV 25317 3161299 28.406388888888888 +L St & 10th St, Sacramento, CA 95814 500 E Capitol Ave, Pierre, SD 57501 2363213 21.469722222222224 +Minnesota State Capitol, St Paul, MN 55155 New Jersey State House, Trenton, NJ 08608 1904120 17.467777777777776 +300 SW 10th Ave, Topeka, KS 66612 New Jersey State House, Trenton, NJ 08608 1943570 17.935555555555556 +State House, 107 North Main Street, Concord, NH 03303 Oregon State Capitol, 900 Court St NE, Salem, OR 97301 5020691 46.1925 +Legislative Hall: The State Capitol, Legislative Avenue, Dover, DE 19901 402 S Monroe St, Tallahassee, FL 32301 1549915 14.0425 +Indiana State Capitol, Indianapolis, IN 46204 South Carolina State House, 1100 Gervais Street, Columbia, SC 29201 1001496 9.178055555555556 +Illinois State Capitol, Springfield, IL 62756 2 E Main St, Madison, WI 53703 425309 3.9405555555555556 +North Carolina State Capitol, Raleigh, NC 27601 South Carolina State House, 1100 Gervais Street, Columbia, SC 29201 363112 3.348611111111111 +Nevada State Capitol, Carson City, NV 89701 Pennsylvania State Capitol Building, North 3rd Street, Harrisburg, PA 17120 4159337 37.14194444444445 +Legislative Hall: The State Capitol, Legislative Avenue, Dover, DE 19901 Iowa State Capitol, 1007 E Grand Ave, Des Moines, IA 50319 1772295 16.54138888888889 +New Mexico State Capitol, Santa Fe, NM 87501 Wyoming State Capitol, Cheyenne, WY 82001 792157 7.053333333333334 +Georgia State Capitol, Atlanta, GA 30334 700 W Jefferson St, Boise, ID 83720 3498032 31.39 +Missouri State Capitol, Jefferson City, MO 65101 500 E Capitol Ave, Pierre, SD 57501 1190637 10.608055555555556 +Massachusetts State House, Boston, MA 02108 North Carolina State Capitol, Raleigh, NC 27601 1157235 11.136111111111111 +Legislative Hall: The State Capitol, Legislative Avenue, Dover, DE 19901 400-498 N West St, Jackson, MS 39201 1736549 16.05638888888889 +Illinois State Capitol, Springfield, IL 62756 North Dakota State Capitol, Bismarck, ND 58501 1530029 13.591944444444444 +Nevada State Capitol, Carson City, NV 89701 Vermont State House, 115 State Street, Montpelier, VT 05633 4628271 42.11944444444445 +402 S Monroe St, Tallahassee, FL 32301 Nebraska State Capitol, 1445 K Street, Lincoln, NE 68509 1994047 18.71527777777778 +Legislative Hall: The State Capitol, Legislative Avenue, Dover, DE 19901 Rhode Island State House, 82 Smith Street, Providence, RI 02903 561475 5.556666666666667 +Alabama State Capitol, 600 Dexter Avenue, Montgomery, AL 36130 Texas Capitol, 1100 Congress Avenue, Austin, TX 78701 1278074 11.519166666666667 +Legislative Hall: The State Capitol, Legislative Avenue, Dover, DE 19901 Wyoming State Capitol, Cheyenne, WY 82001 2783745 25.468333333333334 +200 E Colfax Ave, Denver, CO 80203 Nevada State Capitol, Carson City, NV 89701 1595181 15.340833333333334 +Iowa State Capitol, 1007 E Grand Ave, Des Moines, IA 50319 State House, 107 North Main Street, Concord, NH 03303 2057414 19.745833333333334 +North Carolina State Capitol, Raleigh, NC 27601 West Virginia State Capitol, Charleston, WV 25317 509177 4.908055555555555 +Maine State House, Augusta, ME 04330 Massachusetts State House, Boston, MA 02108 260531 2.618888888888889 +Georgia State Capitol, Atlanta, GA 30334 Michigan State Capitol, Lansing, MI 48933 1252890 11.448333333333334 +Connecticut State Capitol, 210 Capitol Ave, Hartford, CT 06106 Georgia State Capitol, Atlanta, GA 30334 1585527 14.938055555555556 +Indiana State Capitol, Indianapolis, IN 46204 500 E Capitol Ave, Pierre, SD 57501 1545420 13.984722222222222 +Michigan State Capitol, Lansing, MI 48933 Virginia State Capitol, Richmond, VA 23219 1107187 10.313055555555556 +Illinois State Capitol, Springfield, IL 62756 Nevada State Capitol, Carson City, NV 89701 2967815 26.966666666666665 +L St & 10th St, Sacramento, CA 95814 Minnesota State Capitol, St Paul, MN 55155 3086551 27.525277777777777 +Montana State Capitol, 1301 E 6th Ave, Helena, MT 59601 North Dakota State Capitol, Bismarck, ND 58501 987502 9.234166666666667 +700 W Jefferson St, Boise, ID 83720 New York State Capitol, State St. and Washington Ave, Albany, NY 12224 4018994 35.965 +Connecticut State Capitol, 210 Capitol Ave, Hartford, CT 06106 2 E Main St, Madison, WI 53703 1681120 15.633611111111112 +Oregon State Capitol, 900 Court St NE, Salem, OR 97301 Utah State Capitol, Salt Lake City, UT 84103 1303708 11.963611111111112 +Michigan State Capitol, Lansing, MI 48933 Utah State Capitol, Salt Lake City, UT 84103 2577637 23.119722222222222 +Texas Capitol, 1100 Congress Avenue, Austin, TX 78701 2 E Main St, Madison, WI 53703 1902526 17.63888888888889 +Montana State Capitol, 1301 E 6th Ave, Helena, MT 59601 Nebraska State Capitol, 1445 K Street, Lincoln, NE 68509 1827872 15.870833333333334 +State House, 107 North Main Street, Concord, NH 03303 2 E Main St, Madison, WI 53703 1809409 17.50888888888889 +North Dakota State Capitol, Bismarck, ND 58501 Utah State Capitol, Salt Lake City, UT 84103 1494479 14.052777777777777 +300 SW 10th Ave, Topeka, KS 66612 Minnesota State Capitol, St Paul, MN 55155 804823 7.222777777777778 +Maryland State House, 100 State Cir, Annapolis, MD 21401 Oklahoma State Capitol, Oklahoma City, OK 73105 2150915 19.857222222222223 +Legislative Hall: The State Capitol, Legislative Avenue, Dover, DE 19901 Virginia State Capitol, Richmond, VA 23219 329515 3.4183333333333334 +Missouri State Capitol, Jefferson City, MO 65101 Pennsylvania State Capitol Building, North 3rd Street, Harrisburg, PA 17120 1462312 13.661666666666667 +Legislative Hall: The State Capitol, Legislative Avenue, Dover, DE 19901 Georgia State Capitol, Atlanta, GA 30334 1183433 11.198888888888888 +Maryland State House, 100 State Cir, Annapolis, MD 21401 Wyoming State Capitol, Cheyenne, WY 82001 2685105 24.346666666666668 +400-498 N West St, Jackson, MS 39201 Utah State Capitol, Salt Lake City, UT 84103 2652406 24.896944444444443 +Georgia State Capitol, Atlanta, GA 30334 Louisiana State Capitol, Baton Rouge, LA 70802 847414 7.3630555555555555 +Missouri State Capitol, Jefferson City, MO 65101 Vermont State House, 115 State Street, Montpelier, VT 05633 2063633 19.625555555555554 +Georgia State Capitol, Atlanta, GA 30334 Utah State Capitol, Salt Lake City, UT 84103 3025080 27.3475 +Minnesota State Capitol, St Paul, MN 55155 South Carolina State House, 1100 Gervais Street, Columbia, SC 29201 1937523 17.61861111111111 +Indiana State Capitol, Indianapolis, IN 46204 300 SW 10th Ave, Topeka, KS 66612 875152 8.04888888888889 +Indiana State Capitol, Indianapolis, IN 46204 Louisiana State Capitol, Baton Rouge, LA 70802 1361626 12.204722222222221 +Oregon State Capitol, 900 Court St NE, Salem, OR 97301 Vermont State House, 115 State Street, Montpelier, VT 05633 4989186 45.78805555555556 +200 E Colfax Ave, Denver, CO 80203 300 SW 10th Ave, Topeka, KS 66612 868171 7.5925 +Iowa State Capitol, 1007 E Grand Ave, Des Moines, IA 50319 New Jersey State House, Trenton, NJ 08608 1764351 16.129166666666666 +Georgia State Capitol, Atlanta, GA 30334 300 SW 10th Ave, Topeka, KS 66612 1388708 12.551666666666666 +Indiana State Capitol, Indianapolis, IN 46204 Vermont State House, 115 State Street, Montpelier, VT 05633 1474526 14.259166666666667 +Louisiana State Capitol, Baton Rouge, LA 70802 West Virginia State Capitol, Charleston, WV 25317 1551493 14.017222222222221 +New Jersey State House, Trenton, NJ 08608 Texas Capitol, 1100 Congress Avenue, Austin, TX 78701 2735269 24.786666666666665 +Alabama State Capitol, 600 Dexter Avenue, Montgomery, AL 36130 Iowa State Capitol, 1007 E Grand Ave, Des Moines, IA 50319 1502867 13.77138888888889 +402 S Monroe St, Tallahassee, FL 32301 Louisiana State Capitol, Baton Rouge, LA 70802 713508 6.373333333333333 +Illinois State Capitol, Springfield, IL 62756 North Carolina State Capitol, Raleigh, NC 27601 1354089 12.807222222222222 +Connecticut State Capitol, 210 Capitol Ave, Hartford, CT 06106 402 S Monroe St, Tallahassee, FL 32301 1952010 17.781666666666666 +200 E Colfax Ave, Denver, CO 80203 Iowa State Capitol, 1007 E Grand Ave, Des Moines, IA 50319 1079887 9.487222222222222 +200 E Colfax Ave, Denver, CO 80203 Minnesota State Capitol, St Paul, MN 55155 1472312 12.963055555555556 +Maine State House, Augusta, ME 04330 Maryland State House, 100 State Cir, Annapolis, MD 21401 936447 8.990833333333333 +Minnesota State Capitol, St Paul, MN 55155 North Carolina State Capitol, Raleigh, NC 27601 1946878 18.148333333333333 +Massachusetts State House, Boston, MA 02108 Michigan State Capitol, Lansing, MI 48933 1253144 11.705833333333333 +Massachusetts State House, Boston, MA 02108 2 E Main St, Madison, WI 53703 1828313 16.995833333333334 +South Carolina State House, 1100 Gervais Street, Columbia, SC 29201 2 E Main St, Madison, WI 53703 1530438 14.185 +Kentucky State Capitol Building, 700 Capitol Avenue, Frankfort, KY 40601 State House, 107 North Main Street, Concord, NH 03303 1512981 15.07638888888889 +Missouri State Capitol, Jefferson City, MO 65101 New York State Capitol, State St. and Washington Ave, Albany, NY 12224 1852941 16.93777777777778 +L St & 10th St, Sacramento, CA 95814 300 SW 10th Ave, Topeka, KS 66612 2735540 24.093055555555555 +Georgia State Capitol, Atlanta, GA 30334 Wyoming State Capitol, Cheyenne, WY 82001 2317843 20.940555555555555 +Nevada State Capitol, Carson City, NV 89701 Oklahoma State Capitol, Oklahoma City, OK 73105 2470617 22.605555555555554 +Missouri State Capitol, Jefferson City, MO 65101 New Mexico State Capitol, Santa Fe, NM 87501 1436727 13.885277777777778 +Arkansas State Capitol, 500 Woodlane Street, Little Rock, AR 72201 Ohio State Capitol, 1 Capitol Square, Columbus, OH 43215 1165605 10.690833333333334 +Georgia State Capitol, Atlanta, GA 30334 North Carolina State Capitol, Raleigh, NC 27601 652791 6.0777777777777775 +Connecticut State Capitol, 210 Capitol Ave, Hartford, CT 06106 Washington State Capitol Bldg, 416 Sid Snyder Ave SW, Olympia, WA 98504 4831698 43.48416666666667 +L St & 10th St, Sacramento, CA 95814 New York State Capitol, State St. and Washington Ave, Albany, NY 12224 4588421 41.03861111111111 +New Mexico State Capitol, Santa Fe, NM 87501 Rhode Island State House, 82 Smith Street, Providence, RI 02903 3494683 31.9975 +Maine State House, Augusta, ME 04330 400-498 N West St, Jackson, MS 39201 2529620 23.155555555555555 +Kentucky State Capitol Building, 700 Capitol Avenue, Frankfort, KY 40601 Oregon State Capitol, 900 Court St NE, Salem, OR 97301 3864119 35.05833333333333 +Arizona State Capitol, 1700 W Washington St, Phoenix, AZ 85007 Missouri State Capitol, Jefferson City, MO 65101 2219599 20.138055555555557 +700 W Jefferson St, Boise, ID 83720 Virginia State Capitol, Richmond, VA 23219 3926605 35.15027777777778 +Georgia State Capitol, Atlanta, GA 30334 Virginia State Capitol, Richmond, VA 23219 853715 7.815277777777778 +300 SW 10th Ave, Topeka, KS 66612 Ohio State Capitol, 1 Capitol Square, Columbus, OH 43215 1157547 10.576666666666666 +Iowa State Capitol, 1007 E Grand Ave, Des Moines, IA 50319 Utah State Capitol, Salt Lake City, UT 84103 1719270 15.421944444444444 +Rhode Island State House, 82 Smith Street, Providence, RI 02903 South Carolina State House, 1100 Gervais Street, Columbia, SC 29201 1433934 13.457222222222223 +Minnesota State Capitol, St Paul, MN 55155 New Mexico State Capitol, Santa Fe, NM 87501 1931932 17.900555555555556 +402 S Monroe St, Tallahassee, FL 32301 State House, 107 North Main Street, Concord, NH 03303 2204336 20.1675 +Indiana State Capitol, Indianapolis, IN 46204 Virginia State Capitol, Richmond, VA 23219 1010794 9.49611111111111 +Massachusetts State House, Boston, MA 02108 Missouri State Capitol, Jefferson City, MO 65101 2115585 19.447222222222223 +Pennsylvania State Capitol Building, North 3rd Street, Harrisburg, PA 17120 500 E Capitol Ave, Pierre, SD 57501 2341717 21.20138888888889 +New York State Capitol, State St. and Washington Ave, Albany, NY 12224 2 E Main St, Madison, WI 53703 1563965 14.514444444444445 +Minnesota State Capitol, St Paul, MN 55155 Nevada State Capitol, Carson City, NV 89701 2864288 26.09138888888889 +New Jersey State House, Trenton, NJ 08608 Rhode Island State House, 82 Smith Street, Providence, RI 02903 398312 4.088888888888889 +Vermont State House, 115 State Street, Montpelier, VT 05633 Wyoming State Capitol, Cheyenne, WY 82001 3050515 28.357222222222223 +200 E Colfax Ave, Denver, CO 80203 Texas Capitol, 1100 Congress Avenue, Austin, TX 78701 1478566 13.878333333333334 +Indiana State Capitol, Indianapolis, IN 46204 Massachusetts State House, Boston, MA 02108 1528174 14.106666666666667 +Missouri State Capitol, Jefferson City, MO 65101 North Carolina State Capitol, Raleigh, NC 27601 1536148 14.154166666666667 +Maine State House, Augusta, ME 04330 Ohio State Capitol, 1 Capitol Square, Columbus, OH 43215 1494741 13.688055555555556 +Massachusetts State House, Boston, MA 02108 Oregon State Capitol, 900 Court St NE, Salem, OR 97301 5039595 45.67916666666667 +State House, 107 North Main Street, Concord, NH 03303 New York State Capitol, State St. and Washington Ave, Albany, NY 12224 257015 3.1944444444444446 +Arizona State Capitol, 1700 W Washington St, Phoenix, AZ 85007 Rhode Island State House, 82 Smith Street, Providence, RI 02903 4180240 38.32611111111111 +700 W Jefferson St, Boise, ID 83720 Tennessee State Capitol, 600 Charlotte Avenue, Nashville, TN 37243 3099564 27.6725 +New York State Capitol, State St. and Washington Ave, Albany, NY 12224 Oklahoma State Capitol, Oklahoma City, OK 73105 2446430 22.183611111111112 +L St & 10th St, Sacramento, CA 95814 Connecticut State Capitol, 210 Capitol Ave, Hartford, CT 06106 4705821 42.25222222222222 +Illinois State Capitol, Springfield, IL 62756 Louisiana State Capitol, Baton Rouge, LA 70802 1226097 10.945555555555556 +New Jersey State House, Trenton, NJ 08608 North Dakota State Capitol, Bismarck, ND 58501 2605873 23.586111111111112 +Louisiana State Capitol, Baton Rouge, LA 70802 Wyoming State Capitol, Cheyenne, WY 82001 2123471 19.44972222222222 +402 S Monroe St, Tallahassee, FL 32301 700 W Jefferson St, Boise, ID 83720 3890868 35.385 +Illinois State Capitol, Springfield, IL 62756 Vermont State House, 115 State Street, Montpelier, VT 05633 1806724 17.35527777777778 +Pennsylvania State Capitol Building, North 3rd Street, Harrisburg, PA 17120 Texas Capitol, 1100 Congress Avenue, Austin, TX 78701 2537644 22.948888888888888 +Georgia State Capitol, Atlanta, GA 30334 Missouri State Capitol, Jefferson City, MO 65101 1103516 10.033888888888889 +Maryland State House, 100 State Cir, Annapolis, MD 21401 2 E Main St, Madison, WI 53703 1412212 13.225277777777778 +Rhode Island State House, 82 Smith Street, Providence, RI 02903 Wyoming State Capitol, Cheyenne, WY 82001 3080887 28.016944444444444 +Arizona State Capitol, 1700 W Washington St, Phoenix, AZ 85007 Washington State Capitol Bldg, 416 Sid Snyder Ave SW, Olympia, WA 98504 2326097 21.381944444444443 +Ohio State Capitol, 1 Capitol Square, Columbus, OH 43215 Utah State Capitol, Salt Lake City, UT 84103 2767412 24.85333333333333 +Legislative Hall: The State Capitol, Legislative Avenue, Dover, DE 19901 Nebraska State Capitol, 1445 K Street, Lincoln, NE 68509 2078837 19.298055555555557 +Connecticut State Capitol, 210 Capitol Ave, Hartford, CT 06106 500 E Capitol Ave, Pierre, SD 57501 2715494 24.628611111111113 +Montana State Capitol, 1301 E 6th Ave, Helena, MT 59601 Virginia State Capitol, Richmond, VA 23219 3617475 33.053333333333335 +Minnesota State Capitol, St Paul, MN 55155 2 E Main St, Madison, WI 53703 417349 3.953888888888889 +Maryland State House, 100 State Cir, Annapolis, MD 21401 North Dakota State Capitol, Bismarck, ND 58501 2516932 22.876666666666665 +Arkansas State Capitol, 500 Woodlane Street, Little Rock, AR 72201 Illinois State Capitol, Springfield, IL 62756 715903 7.0344444444444445 +700 W Jefferson St, Boise, ID 83720 Louisiana State Capitol, Baton Rouge, LA 70802 3230224 29.836666666666666 +Illinois State Capitol, Springfield, IL 62756 Tennessee State Capitol, 600 Charlotte Avenue, Nashville, TN 37243 601548 5.588333333333333 +L St & 10th St, Sacramento, CA 95814 Montana State Capitol, 1301 E 6th Ave, Helena, MT 59601 1630833 14.535833333333333 +Legislative Hall: The State Capitol, Legislative Avenue, Dover, DE 19901 Vermont State House, 115 State Street, Montpelier, VT 05633 773092 7.4375 +Illinois State Capitol, Springfield, IL 62756 South Carolina State House, 1100 Gervais Street, Columbia, SC 29201 1308331 12.036944444444444 +Arizona State Capitol, 1700 W Washington St, Phoenix, AZ 85007 200 E Colfax Ave, Denver, CO 80203 1319137 12.647222222222222 +Arkansas State Capitol, 500 Woodlane Street, Little Rock, AR 72201 State House, 107 North Main Street, Concord, NH 03303 2432697 22.41861111111111 +Texas Capitol, 1100 Congress Avenue, Austin, TX 78701 Washington State Capitol Bldg, 416 Sid Snyder Ave SW, Olympia, WA 98504 3473890 32.7875 +500 E Capitol Ave, Pierre, SD 57501 Tennessee State Capitol, 600 Charlotte Avenue, Nashville, TN 37243 1828065 16.27888888888889 +300 SW 10th Ave, Topeka, KS 66612 Utah State Capitol, Salt Lake City, UT 84103 1694356 15.054722222222223 +Indiana State Capitol, Indianapolis, IN 46204 Maine State House, Augusta, ME 04330 1775669 16.27111111111111 +402 S Monroe St, Tallahassee, FL 32301 North Carolina State Capitol, Raleigh, NC 27601 992856 8.732222222222223 +Nebraska State Capitol, 1445 K Street, Lincoln, NE 68509 Rhode Island State House, 82 Smith Street, Providence, RI 02903 2376371 21.870555555555555 +North Carolina State Capitol, Raleigh, NC 27601 Tennessee State Capitol, 600 Charlotte Avenue, Nashville, TN 37243 867080 8.14 +Tennessee State Capitol, 600 Charlotte Avenue, Nashville, TN 37243 West Virginia State Capitol, Charleston, WV 25317 631657 5.870555555555556 +Arizona State Capitol, 1700 W Washington St, Phoenix, AZ 85007 Legislative Hall: The State Capitol, Legislative Avenue, Dover, DE 19901 3794792 34.92333333333333 +Iowa State Capitol, 1007 E Grand Ave, Des Moines, IA 50319 Texas Capitol, 1100 Congress Avenue, Austin, TX 78701 1496159 13.354166666666666 +Legislative Hall: The State Capitol, Legislative Avenue, Dover, DE 19901 New York State Capitol, State St. and Washington Ave, Albany, NY 12224 493300 4.680555555555555 +Alabama State Capitol, 600 Dexter Avenue, Montgomery, AL 36130 Maine State House, Augusta, ME 04330 2243062 20.884722222222223 +Connecticut State Capitol, 210 Capitol Ave, Hartford, CT 06106 New York State Capitol, State St. and Washington Ave, Albany, NY 12224 182763 1.7986111111111112 +L St & 10th St, Sacramento, CA 95814 402 S Monroe St, Tallahassee, FL 32301 4246543 37.35444444444445 +Connecticut State Capitol, 210 Capitol Ave, Hartford, CT 06106 Pennsylvania State Capitol Building, North 3rd Street, Harrisburg, PA 17120 470503 4.606944444444444 +North Carolina State Capitol, Raleigh, NC 27601 Virginia State Capitol, Richmond, VA 23219 273743 2.4966666666666666 +400-498 N West St, Jackson, MS 39201 Washington State Capitol Bldg, 416 Sid Snyder Ave SW, Olympia, WA 98504 4113442 37.221944444444446 +Tennessee State Capitol, 600 Charlotte Avenue, Nashville, TN 37243 Washington State Capitol Bldg, 416 Sid Snyder Ave SW, Olympia, WA 98504 3913258 35.306666666666665 +New York State Capitol, State St. and Washington Ave, Albany, NY 12224 North Carolina State Capitol, Raleigh, NC 27601 1038859 9.794444444444444 +Nevada State Capitol, Carson City, NV 89701 West Virginia State Capitol, Charleston, WV 25317 3819760 34.018055555555556 +300 SW 10th Ave, Topeka, KS 66612 Nebraska State Capitol, 1445 K Street, Lincoln, NE 68509 269993 2.882222222222222 +Missouri State Capitol, Jefferson City, MO 65101 2 E Main St, Madison, WI 53703 697472 6.839722222222222 +Minnesota State Capitol, St Paul, MN 55155 Oregon State Capitol, 900 Court St NE, Salem, OR 97301 2871909 25.724444444444444 +Nebraska State Capitol, 1445 K Street, Lincoln, NE 68509 Virginia State Capitol, Richmond, VA 23219 2029907 18.575277777777778 +Illinois State Capitol, Springfield, IL 62756 New York State Capitol, State St. and Washington Ave, Albany, NY 12224 1596033 14.6675 +200 E Colfax Ave, Denver, CO 80203 Georgia State Capitol, Atlanta, GA 30334 2253063 20.075 +Georgia State Capitol, Atlanta, GA 30334 Illinois State Capitol, Springfield, IL 62756 999216 9.17 +200 E Colfax Ave, Denver, CO 80203 Illinois State Capitol, Springfield, IL 62756 1465413 13.14 +New Mexico State Capitol, Santa Fe, NM 87501 Washington State Capitol Bldg, 416 Sid Snyder Ave SW, Olympia, WA 98504 2404888 22.635833333333334 +Connecticut State Capitol, 210 Capitol Ave, Hartford, CT 06106 Maryland State House, 100 State Cir, Annapolis, MD 21401 530919 5.235 +Pennsylvania State Capitol Building, North 3rd Street, Harrisburg, PA 17120 Virginia State Capitol, Richmond, VA 23219 354652 3.5616666666666665 +Nevada State Capitol, Carson City, NV 89701 Texas Capitol, 1100 Congress Avenue, Austin, TX 78701 2710776 25.432222222222222 +L St & 10th St, Sacramento, CA 95814 Washington State Capitol Bldg, 416 Sid Snyder Ave SW, Olympia, WA 98504 1115233 10.574444444444444 +Kentucky State Capitol Building, 700 Capitol Avenue, Frankfort, KY 40601 New Jersey State House, Trenton, NJ 08608 1090072 10.113888888888889 +402 S Monroe St, Tallahassee, FL 32301 Maryland State House, 100 State Cir, Annapolis, MD 21401 1454024 12.885277777777778 +Missouri State Capitol, Jefferson City, MO 65101 Nevada State Capitol, Carson City, NV 89701 2835852 25.671944444444446 +Arizona State Capitol, 1700 W Washington St, Phoenix, AZ 85007 L St & 10th St, Sacramento, CA 95814 1212739 10.910555555555556 +Maryland State House, 100 State Cir, Annapolis, MD 21401 North Carolina State Capitol, Raleigh, NC 27601 499503 4.728611111111111 +Kentucky State Capitol Building, 700 Capitol Avenue, Frankfort, KY 40601 Louisiana State Capitol, Baton Rouge, LA 70802 1282198 11.503333333333334 +Arkansas State Capitol, 500 Woodlane Street, Little Rock, AR 72201 Minnesota State Capitol, St Paul, MN 55155 1381467 12.380555555555556 +402 S Monroe St, Tallahassee, FL 32301 Illinois State Capitol, Springfield, IL 62756 1392053 13.165277777777778 +Connecticut State Capitol, 210 Capitol Ave, Hartford, CT 06106 North Dakota State Capitol, Bismarck, ND 58501 2785840 25.285 +Arizona State Capitol, 1700 W Washington St, Phoenix, AZ 85007 Louisiana State Capitol, Baton Rouge, LA 70802 2327122 20.377777777777776 +Legislative Hall: The State Capitol, Legislative Avenue, Dover, DE 19901 State House, 107 North Main Street, Concord, NH 03303 706481 6.901111111111111 +700 W Jefferson St, Boise, ID 83720 500 E Capitol Ave, Pierre, SD 57501 1700787 16.372222222222224 +Connecticut State Capitol, 210 Capitol Ave, Hartford, CT 06106 Utah State Capitol, Salt Lake City, UT 84103 3661251 33.16222222222222 +Missouri State Capitol, Jefferson City, MO 65101 Ohio State Capitol, 1 Capitol Square, Columbus, OH 43215 872387 8.043611111111112 +Pennsylvania State Capitol Building, North 3rd Street, Harrisburg, PA 17120 Rhode Island State House, 82 Smith Street, Providence, RI 02903 578364 5.651666666666666 +Georgia State Capitol, Atlanta, GA 30334 Maine State House, Augusta, ME 04330 1984970 18.6275 +Iowa State Capitol, 1007 E Grand Ave, Des Moines, IA 50319 Montana State Capitol, 1301 E 6th Ave, Helena, MT 59601 1894156 17.088055555555556 +Iowa State Capitol, 1007 E Grand Ave, Des Moines, IA 50319 North Dakota State Capitol, Bismarck, ND 58501 1074658 9.473333333333333 +402 S Monroe St, Tallahassee, FL 32301 2 E Main St, Madison, WI 53703 1789607 16.518055555555556 +Utah State Capitol, Salt Lake City, UT 84103 2 E Main St, Madison, WI 53703 2194529 19.756666666666668 +Maryland State House, 100 State Cir, Annapolis, MD 21401 New Mexico State Capitol, Santa Fe, NM 87501 3015312 27.569444444444443 +L St & 10th St, Sacramento, CA 95814 Illinois State Capitol, Springfield, IL 62756 3161763 28.34111111111111 +Maryland State House, 100 State Cir, Annapolis, MD 21401 New York State Capitol, State St. and Washington Ave, Albany, NY 12224 567996 5.439444444444445 +L St & 10th St, Sacramento, CA 95814 Ohio State Capitol, 1 Capitol Square, Columbus, OH 43215 3810136 33.81611111111111 +Illinois State Capitol, Springfield, IL 62756 Montana State Capitol, 1301 E 6th Ave, Helena, MT 59601 2406938 21.828611111111112 +Connecticut State Capitol, 210 Capitol Ave, Hartford, CT 06106 Minnesota State Capitol, St Paul, MN 55155 2088042 19.18027777777778 +Alabama State Capitol, 600 Dexter Avenue, Montgomery, AL 36130 Connecticut State Capitol, 210 Capitol Ave, Hartford, CT 06106 1838597 17.153055555555557 +Nevada State Capitol, Carson City, NV 89701 Virginia State Capitol, Richmond, VA 23219 4325191 38.61694444444444 +Michigan State Capitol, Lansing, MI 48933 Vermont State House, 115 State Street, Montpelier, VT 05633 1228009 11.509444444444444 +300 SW 10th Ave, Topeka, KS 66612 Tennessee State Capitol, 600 Charlotte Avenue, Nashville, TN 37243 990848 8.973888888888888 +Nebraska State Capitol, 1445 K Street, Lincoln, NE 68509 Nevada State Capitol, Carson City, NV 89701 2266886 20.369722222222222 +L St & 10th St, Sacramento, CA 95814 Iowa State Capitol, 1007 E Grand Ave, Des Moines, IA 50319 2761755 24.421666666666667 +Louisiana State Capitol, Baton Rouge, LA 70802 Virginia State Capitol, Richmond, VA 23219 1701633 15.176944444444445 +Minnesota State Capitol, St Paul, MN 55155 Virginia State Capitol, Richmond, VA 23219 1935517 17.858055555555556 +700 W Jefferson St, Boise, ID 83720 Pennsylvania State Capitol Building, North 3rd Street, Harrisburg, PA 17120 3760751 33.675555555555555 +Missouri State Capitol, Jefferson City, MO 65101 West Virginia State Capitol, Charleston, WV 25317 1027298 9.319722222222222 +Pennsylvania State Capitol Building, North 3rd Street, Harrisburg, PA 17120 Washington State Capitol Bldg, 416 Sid Snyder Ave SW, Olympia, WA 98504 4457921 40.05694444444445 +Connecticut State Capitol, 210 Capitol Ave, Hartford, CT 06106 Virginia State Capitol, Richmond, VA 23219 731609 7.1575 +Louisiana State Capitol, Baton Rouge, LA 70802 South Carolina State House, 1100 Gervais Street, Columbia, SC 29201 1183500 10.326944444444445 +Maryland State House, 100 State Cir, Annapolis, MD 21401 Missouri State Capitol, Jefferson City, MO 65101 1555721 14.639444444444445 +Maryland State House, 100 State Cir, Annapolis, MD 21401 Vermont State House, 115 State Street, Montpelier, VT 05633 847788 8.196388888888889 +North Carolina State Capitol, Raleigh, NC 27601 Pennsylvania State Capitol Building, North 3rd Street, Harrisburg, PA 17120 625512 5.963055555555556 +Alabama State Capitol, 600 Dexter Avenue, Montgomery, AL 36130 New Jersey State House, Trenton, NJ 08608 1572177 14.505277777777778 +New Jersey State House, Trenton, NJ 08608 Utah State Capitol, Salt Lake City, UT 84103 3481284 31.463055555555556 +Indiana State Capitol, Indianapolis, IN 46204 New Jersey State House, Trenton, NJ 08608 1069303 10.036111111111111 +Legislative Hall: The State Capitol, Legislative Avenue, Dover, DE 19901 Michigan State Capitol, Lansing, MI 48933 1083435 10.286666666666667 +700 W Jefferson St, Boise, ID 83720 State House, 107 North Main Street, Concord, NH 03303 4249912 39.033055555555556 +Massachusetts State House, Boston, MA 02108 New Jersey State House, Trenton, NJ 08608 449801 4.581388888888889 +Arizona State Capitol, 1700 W Washington St, Phoenix, AZ 85007 Kentucky State Capitol Building, 700 Capitol Avenue, Frankfort, KY 40601 2845972 25.66027777777778 +402 S Monroe St, Tallahassee, FL 32301 Washington State Capitol Bldg, 416 Sid Snyder Ave SW, Olympia, WA 98504 4701521 42.861666666666665 +Illinois State Capitol, Springfield, IL 62756 West Virginia State Capitol, Charleston, WV 25317 845239 7.972777777777778 +Maryland State House, 100 State Cir, Annapolis, MD 21401 Pennsylvania State Capitol Building, North 3rd Street, Harrisburg, PA 17120 179018 1.898611111111111 +Louisiana State Capitol, Baton Rouge, LA 70802 Maryland State House, 100 State Cir, Annapolis, MD 21401 1901317 17.226111111111113 +Illinois State Capitol, Springfield, IL 62756 Washington State Capitol Bldg, 416 Sid Snyder Ave SW, Olympia, WA 98504 3405261 30.89027777777778 +Minnesota State Capitol, St Paul, MN 55155 New York State Capitol, State St. and Washington Ave, Albany, NY 12224 1966265 18.016666666666666 +400-498 N West St, Jackson, MS 39201 Texas Capitol, 1100 Congress Avenue, Austin, TX 78701 887636 8.437777777777777 +Georgia State Capitol, Atlanta, GA 30334 State House, 107 North Main Street, Concord, NH 03303 1832449 17.274444444444445 +Maine State House, Augusta, ME 04330 2 E Main St, Madison, WI 53703 2076842 19.205 +Alabama State Capitol, 600 Dexter Avenue, Montgomery, AL 36130 Missouri State Capitol, Jefferson City, MO 65101 1157419 10.383055555555556 +Alabama State Capitol, 600 Dexter Avenue, Montgomery, AL 36130 Louisiana State Capitol, Baton Rouge, LA 70802 591309 5.184444444444445 +200 E Colfax Ave, Denver, CO 80203 State House, 107 North Main Street, Concord, NH 03303 3137471 29.171666666666667 +300 SW 10th Ave, Topeka, KS 66612 North Dakota State Capitol, Bismarck, ND 58501 1239183 11.00388888888889 +L St & 10th St, Sacramento, CA 95814 Missouri State Capitol, Jefferson City, MO 65101 3030263 27.0325 +Iowa State Capitol, 1007 E Grand Ave, Des Moines, IA 50319 South Carolina State House, 1100 Gervais Street, Columbia, SC 29201 1760444 15.849444444444444 +Arizona State Capitol, 1700 W Washington St, Phoenix, AZ 85007 Tennessee State Capitol, 600 Charlotte Avenue, Nashville, TN 37243 2633957 23.764166666666668 +700 W Jefferson St, Boise, ID 83720 300 SW 10th Ave, Topeka, KS 66612 2166113 19.01972222222222 +Legislative Hall: The State Capitol, Legislative Avenue, Dover, DE 19901 Tennessee State Capitol, 600 Charlotte Avenue, Nashville, TN 37243 1232677 11.606111111111112 +State House, 107 North Main Street, Concord, NH 03303 New Mexico State Capitol, Santa Fe, NM 87501 3556272 32.89055555555556 +Oklahoma State Capitol, Oklahoma City, OK 73105 500 E Capitol Ave, Pierre, SD 57501 1174982 11.439166666666667 +North Dakota State Capitol, Bismarck, ND 58501 Oregon State Capitol, 900 Court St NE, Salem, OR 97301 2174863 19.649722222222223 +Virginia State Capitol, Richmond, VA 23219 West Virginia State Capitol, Charleston, WV 25317 507154 4.714166666666666 +New Mexico State Capitol, Santa Fe, NM 87501 Oklahoma State Capitol, Oklahoma City, OK 73105 866244 7.8213888888888885 +Georgia State Capitol, Atlanta, GA 30334 Pennsylvania State Capitol Building, North 3rd Street, Harrisburg, PA 17120 1151965 10.569722222222222 +Massachusetts State House, Boston, MA 02108 New Mexico State Capitol, Santa Fe, NM 87501 3575175 32.37722222222222 +200 E Colfax Ave, Denver, CO 80203 Pennsylvania State Capitol Building, North 3rd Street, Harrisburg, PA 17120 2614534 23.720833333333335 +Arkansas State Capitol, 500 Woodlane Street, Little Rock, AR 72201 Vermont State House, 115 State Street, Montpelier, VT 05633 2358711 22.27027777777778 +402 S Monroe St, Tallahassee, FL 32301 400-498 N West St, Jackson, MS 39201 694704 6.720555555555555 +Connecticut State Capitol, 210 Capitol Ave, Hartford, CT 06106 Tennessee State Capitol, 600 Charlotte Avenue, Nashville, TN 37243 1620221 14.949444444444444 +Kentucky State Capitol Building, 700 Capitol Avenue, Frankfort, KY 40601 West Virginia State Capitol, Charleston, WV 25317 322220 3.0175 +State House, 107 North Main Street, Concord, NH 03303 Washington State Capitol Bldg, 416 Sid Snyder Ave SW, Olympia, WA 98504 4959988 45.359722222222224 +402 S Monroe St, Tallahassee, FL 32301 North Dakota State Capitol, Bismarck, ND 58501 2894327 26.169444444444444 +Rhode Island State House, 82 Smith Street, Providence, RI 02903 Utah State Capitol, Salt Lake City, UT 84103 3788124 34.424166666666665 +Illinois State Capitol, Springfield, IL 62756 400-498 N West St, Jackson, MS 39201 945911 8.484166666666667 +Arkansas State Capitol, 500 Woodlane Street, Little Rock, AR 72201 Massachusetts State House, Boston, MA 02108 2337722 21.607222222222223 +Arkansas State Capitol, 500 Woodlane Street, Little Rock, AR 72201 North Dakota State Capitol, Bismarck, ND 58501 1948713 17.15972222222222 +Michigan State Capitol, Lansing, MI 48933 Montana State Capitol, 1301 E 6th Ave, Helena, MT 59601 2686056 24.39666666666667 +Legislative Hall: The State Capitol, Legislative Avenue, Dover, DE 19901 Maryland State House, 100 State Cir, Annapolis, MD 21401 105428 1.3294444444444444 +Arkansas State Capitol, 500 Woodlane Street, Little Rock, AR 72201 Montana State Capitol, 1301 E 6th Ave, Helena, MT 59601 2702432 24.357777777777777 +Michigan State Capitol, Lansing, MI 48933 State House, 107 North Main Street, Concord, NH 03303 1218614 12.2075 +State House, 107 North Main Street, Concord, NH 03303 North Carolina State Capitol, Raleigh, NC 27601 1250547 11.9375 +Iowa State Capitol, 1007 E Grand Ave, Des Moines, IA 50319 Washington State Capitol Bldg, 416 Sid Snyder Ave SW, Olympia, WA 98504 2892479 26.149722222222223 +Oklahoma State Capitol, Oklahoma City, OK 73105 Utah State Capitol, Salt Lake City, UT 84103 1910174 16.99861111111111 +300 SW 10th Ave, Topeka, KS 66612 Massachusetts State House, Boston, MA 02108 2402441 22.00611111111111 +400-498 N West St, Jackson, MS 39201 Rhode Island State House, 82 Smith Street, Providence, RI 02903 2232241 20.464444444444446 +Arizona State Capitol, 1700 W Washington St, Phoenix, AZ 85007 State House, 107 North Main Street, Concord, NH 03303 4228062 39.20194444444444 +Kentucky State Capitol Building, 700 Capitol Avenue, Frankfort, KY 40601 Maine State House, Augusta, ME 04330 1772326 16.46388888888889 +Arizona State Capitol, 1700 W Washington St, Phoenix, AZ 85007 Arkansas State Capitol, 500 Woodlane Street, Little Rock, AR 72201 2088428 18.80666666666667 +Iowa State Capitol, 1007 E Grand Ave, Des Moines, IA 50319 Nebraska State Capitol, 1445 K Street, Lincoln, NE 68509 307125 2.8447222222222224 +New York State Capitol, State St. and Washington Ave, Albany, NY 12224 Vermont State House, 115 State Street, Montpelier, VT 05633 254720 3.1572222222222224 +Georgia State Capitol, Atlanta, GA 30334 500 E Capitol Ave, Pierre, SD 57501 2226023 19.879166666666666 +400-498 N West St, Jackson, MS 39201 State House, 107 North Main Street, Concord, NH 03303 2377027 21.84777777777778 +Georgia State Capitol, Atlanta, GA 30334 Ohio State Capitol, 1 Capitol Square, Columbus, OH 43215 913039 8.318055555555556 +Montana State Capitol, 1301 E 6th Ave, Helena, MT 59601 Rhode Island State House, 82 Smith Street, Providence, RI 02903 3891251 35.629444444444445 +Georgia State Capitol, Atlanta, GA 30334 Oklahoma State Capitol, Oklahoma City, OK 73105 1366266 12.402777777777779 +Massachusetts State House, Boston, MA 02108 Texas Capitol, 1100 Congress Avenue, Austin, TX 78701 3156474 28.857222222222223 +Alabama State Capitol, 600 Dexter Avenue, Montgomery, AL 36130 200 E Colfax Ave, Denver, CO 80203 2283660 20.398611111111112 +New York State Capitol, State St. and Washington Ave, Albany, NY 12224 Tennessee State Capitol, 600 Charlotte Avenue, Nashville, TN 37243 1591468 14.635 +300 SW 10th Ave, Topeka, KS 66612 500 E Capitol Ave, Pierre, SD 57501 908563 8.276111111111112 +L St & 10th St, Sacramento, CA 95814 Texas Capitol, 1100 Congress Avenue, Austin, TX 78701 2834432 25.199166666666667 +Iowa State Capitol, 1007 E Grand Ave, Des Moines, IA 50319 Vermont State House, 115 State Street, Montpelier, VT 05633 2037187 19.36611111111111 +Oklahoma State Capitol, Oklahoma City, OK 73105 West Virginia State Capitol, Charleston, WV 25317 1611885 14.410277777777777 +Alabama State Capitol, 600 Dexter Avenue, Montgomery, AL 36130 New York State Capitol, State St. and Washington Ave, Albany, NY 12224 1873972 17.040555555555557 +Indiana State Capitol, Indianapolis, IN 46204 Washington State Capitol Bldg, 416 Sid Snyder Ave SW, Olympia, WA 98504 3686093 32.94722222222222 +Montana State Capitol, 1301 E 6th Ave, Helena, MT 59601 Texas Capitol, 1100 Congress Avenue, Austin, TX 78701 2750503 24.789166666666667 +Nevada State Capitol, Carson City, NV 89701 North Dakota State Capitol, Bismarck, ND 58501 2234268 20.314166666666665 +Maine State House, Augusta, ME 04330 Virginia State Capitol, Richmond, VA 23219 1137137 10.913333333333334 +Iowa State Capitol, 1007 E Grand Ave, Des Moines, IA 50319 Louisiana State Capitol, Baton Rouge, LA 70802 1605426 14.594722222222222 +South Carolina State House, 1100 Gervais Street, Columbia, SC 29201 Tennessee State Capitol, 600 Charlotte Avenue, Nashville, TN 37243 711401 6.652777777777778 +Arizona State Capitol, 1700 W Washington St, Phoenix, AZ 85007 Iowa State Capitol, 1007 E Grand Ave, Des Moines, IA 50319 2255678 21.27111111111111 +Iowa State Capitol, 1007 E Grand Ave, Des Moines, IA 50319 Pennsylvania State Capitol Building, North 3rd Street, Harrisburg, PA 17120 1568253 14.388333333333334 +Kentucky State Capitol Building, 700 Capitol Avenue, Frankfort, KY 40601 North Dakota State Capitol, Bismarck, ND 58501 1903795 17.210833333333333 +Washington State Capitol Bldg, 416 Sid Snyder Ave SW, Olympia, WA 98504 2 E Main St, Madison, WI 53703 3161453 28.25111111111111 +Virginia State Capitol, Richmond, VA 23219 2 E Main St, Madison, WI 53703 1533610 14.348055555555556 +500 E Capitol Ave, Pierre, SD 57501 Washington State Capitol Bldg, 416 Sid Snyder Ave SW, Olympia, WA 98504 2125997 19.844722222222224 +North Carolina State Capitol, Raleigh, NC 27601 Texas Capitol, 1100 Congress Avenue, Austin, TX 78701 2187972 19.727777777777778 +Oklahoma State Capitol, Oklahoma City, OK 73105 Texas Capitol, 1100 Congress Avenue, Austin, TX 78701 625486 5.748888888888889 +Indiana State Capitol, Indianapolis, IN 46204 Nebraska State Capitol, 1445 K Street, Lincoln, NE 68509 1064665 9.761111111111111 +Illinois State Capitol, Springfield, IL 62756 New Mexico State Capitol, Santa Fe, NM 87501 1727925 16.314444444444444 +500 E Capitol Ave, Pierre, SD 57501 Texas Capitol, 1100 Congress Avenue, Austin, TX 78701 1798030 17.05472222222222 +700 W Jefferson St, Boise, ID 83720 Illinois State Capitol, Springfield, IL 62756 2592335 23.267777777777777 +Maryland State House, 100 State Cir, Annapolis, MD 21401 Montana State Capitol, 1301 E 6th Ave, Helena, MT 59601 3500762 32.03055555555556 +State House, 107 North Main Street, Concord, NH 03303 Tennessee State Capitol, 600 Charlotte Avenue, Nashville, TN 37243 1870532 17.2975 +New York State Capitol, State St. and Washington Ave, Albany, NY 12224 Washington State Capitol Bldg, 416 Sid Snyder Ave SW, Olympia, WA 98504 4714543 42.365 +Michigan State Capitol, Lansing, MI 48933 Pennsylvania State Capitol Building, North 3rd Street, Harrisburg, PA 17120 879693 8.182222222222222 +South Carolina State House, 1100 Gervais Street, Columbia, SC 29201 Virginia State Capitol, Richmond, VA 23219 596292 5.276666666666666 +Legislative Hall: The State Capitol, Legislative Avenue, Dover, DE 19901 Kentucky State Capitol Building, 700 Capitol Avenue, Frankfort, KY 40601 1039311 9.755833333333333 +300 SW 10th Ave, Topeka, KS 66612 Pennsylvania State Capitol Building, North 3rd Street, Harrisburg, PA 17120 1747472 16.19472222222222 +Nebraska State Capitol, 1445 K Street, Lincoln, NE 68509 New Jersey State House, Trenton, NJ 08608 2071197 18.904444444444444 +New York State Capitol, State St. and Washington Ave, Albany, NY 12224 500 E Capitol Ave, Pierre, SD 57501 2598339 23.509444444444444 +Massachusetts State House, Boston, MA 02108 Utah State Capitol, Salt Lake City, UT 84103 3808444 34.52444444444444 +Missouri State Capitol, Jefferson City, MO 65101 State House, 107 North Main Street, Concord, NH 03303 2083860 20.005555555555556 +Indiana State Capitol, Indianapolis, IN 46204 400-498 N West St, Jackson, MS 39201 1081440 9.743055555555555 +Nevada State Capitol, Carson City, NV 89701 Wyoming State Capitol, Cheyenne, WY 82001 1584035 14.022777777777778 +Arizona State Capitol, 1700 W Washington St, Phoenix, AZ 85007 Texas Capitol, 1100 Congress Avenue, Austin, TX 78701 1622824 14.474444444444444 +Missouri State Capitol, Jefferson City, MO 65101 Montana State Capitol, 1301 E 6th Ave, Helena, MT 59601 2274975 20.53388888888889 +Illinois State Capitol, Springfield, IL 62756 Michigan State Capitol, Lansing, MI 48933 628469 5.753611111111111 +Louisiana State Capitol, Baton Rouge, LA 70802 North Dakota State Capitol, Bismarck, ND 58501 2494502 23.158333333333335 +300 SW 10th Ave, Topeka, KS 66612 Vermont State House, 115 State Street, Montpelier, VT 05633 2348793 22.15888888888889 +Alabama State Capitol, 600 Dexter Avenue, Montgomery, AL 36130 North Carolina State Capitol, Raleigh, NC 27601 910884 8.335 +New Jersey State House, Trenton, NJ 08608 Tennessee State Capitol, 600 Charlotte Avenue, Nashville, TN 37243 1356014 12.425555555555556 +L St & 10th St, Sacramento, CA 95814 Vermont State House, 115 State Street, Montpelier, VT 05633 4799113 43.72638888888889 +New Jersey State House, Trenton, NJ 08608 Washington State Capitol Bldg, 416 Sid Snyder Ave SW, Olympia, WA 98504 4651731 41.78527777777778 +New Jersey State House, Trenton, NJ 08608 New Mexico State Capitol, Santa Fe, NM 87501 3116096 28.316388888888888 +402 S Monroe St, Tallahassee, FL 32301 300 SW 10th Ave, Topeka, KS 66612 1781545 16.546666666666667 +L St & 10th St, Sacramento, CA 95814 West Virginia State Capitol, Charleston, WV 25317 3990601 35.625 +Georgia State Capitol, Atlanta, GA 30334 New Jersey State House, Trenton, NJ 08608 1314085 12.248055555555556 +Maine State House, Augusta, ME 04330 500 E Capitol Ave, Pierre, SD 57501 3111216 28.2 +Arizona State Capitol, 1700 W Washington St, Phoenix, AZ 85007 700 W Jefferson St, Boise, ID 83720 1480533 13.941944444444445 +North Dakota State Capitol, Bismarck, ND 58501 Wyoming State Capitol, Cheyenne, WY 82001 960446 9.149166666666666 +Kentucky State Capitol Building, 700 Capitol Avenue, Frankfort, KY 40601 Oklahoma State Capitol, Oklahoma City, OK 73105 1296244 11.693888888888889 +Connecticut State Capitol, 210 Capitol Ave, Hartford, CT 06106 400-498 N West St, Jackson, MS 39201 2124093 19.399722222222223 +Iowa State Capitol, 1007 E Grand Ave, Des Moines, IA 50319 Massachusetts State House, Boston, MA 02108 2090835 19.213333333333335 +Montana State Capitol, 1301 E 6th Ave, Helena, MT 59601 Oklahoma State Capitol, Oklahoma City, OK 73105 2340718 20.198055555555555 +State House, 107 North Main Street, Concord, NH 03303 New Jersey State House, Trenton, NJ 08608 543114 5.3825 +Arkansas State Capitol, 500 Woodlane Street, Little Rock, AR 72201 2 E Main St, Madison, WI 53703 1135904 10.694166666666666 +Maryland State House, 100 State Cir, Annapolis, MD 21401 Tennessee State Capitol, 600 Charlotte Avenue, Nashville, TN 37243 1134038 10.484444444444444 +200 E Colfax Ave, Denver, CO 80203 Louisiana State Capitol, Baton Rouge, LA 70802 1966426 18.144166666666667 +L St & 10th St, Sacramento, CA 95814 200 E Colfax Ave, Denver, CO 80203 1881205 16.975555555555555 +Ohio State Capitol, 1 Capitol Square, Columbus, OH 43215 Pennsylvania State Capitol Building, North 3rd Street, Harrisburg, PA 17120 591688 5.702222222222222 +Maryland State House, 100 State Cir, Annapolis, MD 21401 Washington State Capitol Bldg, 416 Sid Snyder Ave SW, Olympia, WA 98504 4562790 41.075833333333335 +Arkansas State Capitol, 500 Woodlane Street, Little Rock, AR 72201 Utah State Capitol, Salt Lake City, UT 84103 2380471 21.142222222222223 +Kentucky State Capitol Building, 700 Capitol Avenue, Frankfort, KY 40601 North Carolina State Capitol, Raleigh, NC 27601 831070 7.851944444444444 +300 SW 10th Ave, Topeka, KS 66612 Michigan State Capitol, Lansing, MI 48933 1223735 11.0925 +Connecticut State Capitol, 210 Capitol Ave, Hartford, CT 06106 Iowa State Capitol, 1007 E Grand Ave, Des Moines, IA 50319 1942564 17.828055555555554 +North Dakota State Capitol, Bismarck, ND 58501 Tennessee State Capitol, 600 Charlotte Avenue, Nashville, TN 37243 2102664 18.569444444444443 +Montana State Capitol, 1301 E 6th Ave, Helena, MT 59601 New Jersey State House, Trenton, NJ 08608 3586077 32.66305555555556 +Maine State House, Augusta, ME 04330 New York State Capitol, State St. and Washington Ave, Albany, NY 12224 520684 4.886388888888889 +Oregon State Capitol, 900 Court St NE, Salem, OR 97301 Tennessee State Capitol, 600 Charlotte Avenue, Nashville, TN 37243 3859065 34.80777777777778 +Oregon State Capitol, 900 Court St NE, Salem, OR 97301 Pennsylvania State Capitol Building, North 3rd Street, Harrisburg, PA 17120 4520252 40.81055555555555 +Arkansas State Capitol, 500 Woodlane Street, Little Rock, AR 72201 L St & 10th St, Sacramento, CA 95814 3151067 28.136666666666667 +Rhode Island State House, 82 Smith Street, Providence, RI 02903 Virginia State Capitol, Richmond, VA 23219 838637 8.217222222222222 +Georgia State Capitol, Atlanta, GA 30334 Iowa State Capitol, 1007 E Grand Ave, Des Moines, IA 50319 1448964 13.422222222222222 +South Carolina State House, 1100 Gervais Street, Columbia, SC 29201 Wyoming State Capitol, Cheyenne, WY 82001 2626841 23.81972222222222 +L St & 10th St, Sacramento, CA 95814 Legislative Hall: The State Capitol, Legislative Avenue, Dover, DE 19901 4532569 40.880833333333335 +300 SW 10th Ave, Topeka, KS 66612 Washington State Capitol Bldg, 416 Sid Snyder Ave SW, Olympia, WA 98504 3022102 26.950277777777778 +Arkansas State Capitol, 500 Woodlane Street, Little Rock, AR 72201 Georgia State Capitol, Atlanta, GA 30334 834382 7.7091666666666665 +Georgia State Capitol, Atlanta, GA 30334 Tennessee State Capitol, 600 Charlotte Avenue, Nashville, TN 37243 402403 3.7736111111111112 +300 SW 10th Ave, Topeka, KS 66612 Texas Capitol, 1100 Congress Avenue, Austin, TX 78701 1096352 9.781944444444445 +North Carolina State Capitol, Raleigh, NC 27601 2 E Main St, Madison, WI 53703 1545151 14.650833333333333 +Arizona State Capitol, 1700 W Washington St, Phoenix, AZ 85007 300 SW 10th Ave, Topeka, KS 66612 1849376 17.73027777777778 +L St & 10th St, Sacramento, CA 95814 400-498 N West St, Jackson, MS 39201 3427740 30.878611111111113 +Pennsylvania State Capitol Building, North 3rd Street, Harrisburg, PA 17120 West Virginia State Capitol, Charleston, WV 25317 590933 5.471666666666667 +Alabama State Capitol, 600 Dexter Avenue, Montgomery, AL 36130 Washington State Capitol Bldg, 416 Sid Snyder Ave SW, Olympia, WA 98504 4362587 39.215833333333336 +402 S Monroe St, Tallahassee, FL 32301 Pennsylvania State Capitol Building, North 3rd Street, Harrisburg, PA 17120 1577371 14.174444444444445 +Michigan State Capitol, Lansing, MI 48933 Nebraska State Capitol, 1445 K Street, Lincoln, NE 68509 1165493 10.542222222222222 +700 W Jefferson St, Boise, ID 83720 Texas Capitol, 1100 Congress Avenue, Austin, TX 78701 2619542 24.863888888888887 +State House, 107 North Main Street, Concord, NH 03303 Pennsylvania State Capitol Building, North 3rd Street, Harrisburg, PA 17120 720814 6.955 +Maine State House, Augusta, ME 04330 Nevada State Capitol, Carson City, NV 89701 4903131 44.32888888888889 +Michigan State Capitol, Lansing, MI 48933 South Carolina State House, 1100 Gervais Street, Columbia, SC 29201 1247121 11.903611111111111 +Louisiana State Capitol, Baton Rouge, LA 70802 Texas Capitol, 1100 Congress Avenue, Austin, TX 78701 692703 6.487777777777778 +300 SW 10th Ave, Topeka, KS 66612 Maryland State House, 100 State Cir, Annapolis, MD 21401 1837235 17.09138888888889 +Connecticut State Capitol, 210 Capitol Ave, Hartford, CT 06106 Vermont State House, 115 State Street, Montpelier, VT 05633 321861 3.0213888888888887 +Ohio State Capitol, 1 Capitol Square, Columbus, OH 43215 Tennessee State Capitol, 600 Charlotte Avenue, Nashville, TN 37243 609426 5.7011111111111115 +402 S Monroe St, Tallahassee, FL 32301 New Mexico State Capitol, Santa Fe, NM 87501 2364174 21.85611111111111 +Oregon State Capitol, 900 Court St NE, Salem, OR 97301 500 E Capitol Ave, Pierre, SD 57501 2250703 21.171944444444446 +Rhode Island State House, 82 Smith Street, Providence, RI 02903 Texas Capitol, 1100 Congress Avenue, Austin, TX 78701 3108475 28.349722222222223 +New Mexico State Capitol, Santa Fe, NM 87501 North Dakota State Capitol, Bismarck, ND 58501 1744158 16.00611111111111 +L St & 10th St, Sacramento, CA 95814 Wyoming State Capitol, Cheyenne, WY 82001 1754877 15.629722222222222 +Alabama State Capitol, 600 Dexter Avenue, Montgomery, AL 36130 Kentucky State Capitol Building, 700 Capitol Avenue, Frankfort, KY 40601 785111 7.170277777777778 +Connecticut State Capitol, 210 Capitol Ave, Hartford, CT 06106 Nebraska State Capitol, 1445 K Street, Lincoln, NE 68509 2249106 20.584722222222222 +Oklahoma State Capitol, Oklahoma City, OK 73105 Virginia State Capitol, Richmond, VA 23219 2078855 18.6975 +Maine State House, Augusta, ME 04330 Washington State Capitol Bldg, 416 Sid Snyder Ave SW, Olympia, WA 98504 5227420 47.05555555555556 +Rhode Island State House, 82 Smith Street, Providence, RI 02903 West Virginia State Capitol, Charleston, WV 25317 1161764 10.8725 +Nevada State Capitol, Carson City, NV 89701 Ohio State Capitol, 1 Capitol Square, Columbus, OH 43215 3639294 32.20916666666667 +L St & 10th St, Sacramento, CA 95814 Rhode Island State House, 82 Smith Street, Providence, RI 02903 4831450 43.455555555555556 +Arkansas State Capitol, 500 Woodlane Street, Little Rock, AR 72201 Oklahoma State Capitol, Oklahoma City, OK 73105 547112 4.926666666666667 +Missouri State Capitol, Jefferson City, MO 65101 Wyoming State Capitol, Cheyenne, WY 82001 1282456 11.669444444444444 +Oklahoma State Capitol, Oklahoma City, OK 73105 Pennsylvania State Capitol Building, North 3rd Street, Harrisburg, PA 17120 2057100 18.861666666666668 +Maine State House, Augusta, ME 04330 Montana State Capitol, 1301 E 6th Ave, Helena, MT 59601 4165392 38.010555555555555 +200 E Colfax Ave, Denver, CO 80203 700 W Jefferson St, Boise, ID 83720 1314104 11.952222222222222 +Minnesota State Capitol, St Paul, MN 55155 500 E Capitol Ave, Pierre, SD 57501 637790 6.874722222222222 +Massachusetts State House, Boston, MA 02108 New York State Capitol, State St. and Washington Ave, Albany, NY 12224 272155 2.6772222222222224 +700 W Jefferson St, Boise, ID 83720 Vermont State House, 115 State Street, Montpelier, VT 05633 4229685 38.653055555555554 +Connecticut State Capitol, 210 Capitol Ave, Hartford, CT 06106 700 W Jefferson St, Boise, ID 83720 4134203 37.20444444444445 +500 E Capitol Ave, Pierre, SD 57501 Utah State Capitol, Salt Lake City, UT 84103 1321211 12.447777777777778 +700 W Jefferson St, Boise, ID 83720 Minnesota State Capitol, St Paul, MN 55155 2349986 21.033333333333335 +700 W Jefferson St, Boise, ID 83720 Iowa State Capitol, 1007 E Grand Ave, Des Moines, IA 50319 2192328 19.348333333333333 +Legislative Hall: The State Capitol, Legislative Avenue, Dover, DE 19901 Ohio State Capitol, 1 Capitol Square, Columbus, OH 43215 783537 7.793333333333333 +Nebraska State Capitol, 1445 K Street, Lincoln, NE 68509 New Mexico State Capitol, Santa Fe, NM 87501 1234237 12.029722222222222 +Iowa State Capitol, 1007 E Grand Ave, Des Moines, IA 50319 Tennessee State Capitol, 600 Charlotte Avenue, Nashville, TN 37243 1051234 9.8125 +Illinois State Capitol, Springfield, IL 62756 Massachusetts State House, Boston, MA 02108 1860373 17.20277777777778 +L St & 10th St, Sacramento, CA 95814 North Dakota State Capitol, Bismarck, ND 58501 2405110 21.92111111111111 +Utah State Capitol, Salt Lake City, UT 84103 Virginia State Capitol, Richmond, VA 23219 3454401 31.113333333333333 +North Dakota State Capitol, Bismarck, ND 58501 Ohio State Capitol, 1 Capitol Square, Columbus, OH 43215 1913954 17.184166666666666 +Connecticut State Capitol, 210 Capitol Ave, Hartford, CT 06106 Legislative Hall: The State Capitol, Legislative Avenue, Dover, DE 19901 455898 4.509444444444444 +500 E Capitol Ave, Pierre, SD 57501 Wyoming State Capitol, Cheyenne, WY 82001 683179 6.741666666666666 +Iowa State Capitol, 1007 E Grand Ave, Des Moines, IA 50319 Ohio State Capitol, 1 Capitol Square, Columbus, OH 43215 1048210 9.455833333333333 +Indiana State Capitol, Indianapolis, IN 46204 Michigan State Capitol, Lansing, MI 48933 410164 3.794722222222222 +Indiana State Capitol, Indianapolis, IN 46204 West Virginia State Capitol, Charleston, WV 25317 505363 4.8975 +New York State Capitol, State St. and Washington Ave, Albany, NY 12224 Oregon State Capitol, 900 Court St NE, Salem, OR 97301 4775247 43.19777777777778 +400-498 N West St, Jackson, MS 39201 Virginia State Capitol, Richmond, VA 23219 1467102 13.298055555555555 +Oregon State Capitol, 900 Court St NE, Salem, OR 97301 West Virginia State Capitol, Charleston, WV 25317 4180675 37.68666666666667 +Illinois State Capitol, Springfield, IL 62756 Minnesota State Capitol, St Paul, MN 55155 832231 7.4875 +Illinois State Capitol, Springfield, IL 62756 Iowa State Capitol, 1007 E Grand Ave, Des Moines, IA 50319 541419 4.966944444444445 +Alabama State Capitol, 600 Dexter Avenue, Montgomery, AL 36130 Georgia State Capitol, Atlanta, GA 30334 259130 2.347777777777778 +Maine State House, Augusta, ME 04330 Vermont State House, 115 State Street, Montpelier, VT 05633 289475 3.777222222222222 +New York State Capitol, State St. and Washington Ave, Albany, NY 12224 Ohio State Capitol, 1 Capitol Square, Columbus, OH 43215 981864 8.9975 +Indiana State Capitol, Indianapolis, IN 46204 New Mexico State Capitol, Santa Fe, NM 87501 2049550 18.461388888888887 +402 S Monroe St, Tallahassee, FL 32301 Michigan State Capitol, Lansing, MI 48933 1653544 15.526666666666667 +Nevada State Capitol, Carson City, NV 89701 South Carolina State House, 1100 Gervais Street, Columbia, SC 29201 4204933 37.5875 +L St & 10th St, Sacramento, CA 95814 2 E Main St, Madison, WI 53703 3236161 28.86722222222222 +North Dakota State Capitol, Bismarck, ND 58501 Washington State Capitol Bldg, 416 Sid Snyder Ave SW, Olympia, WA 98504 2049899 18.350555555555555 +Arkansas State Capitol, 500 Woodlane Street, Little Rock, AR 72201 Iowa State Capitol, 1007 E Grand Ave, Des Moines, IA 50319 987798 8.910277777777777 +400-498 N West St, Jackson, MS 39201 Wyoming State Capitol, Cheyenne, WY 82001 2107645 19.017222222222223 +New Jersey State House, Trenton, NJ 08608 Pennsylvania State Capitol Building, North 3rd Street, Harrisburg, PA 17120 201751 1.9908333333333332 +Alabama State Capitol, 600 Dexter Avenue, Montgomery, AL 36130 New Mexico State Capitol, Santa Fe, NM 87501 2130566 19.22222222222222 +200 E Colfax Ave, Denver, CO 80203 New York State Capitol, State St. and Washington Ave, Albany, NY 12224 2906553 26.10388888888889 +Maryland State House, 100 State Cir, Annapolis, MD 21401 Oregon State Capitol, 900 Court St NE, Salem, OR 97301 4623494 41.908611111111114 +New Mexico State Capitol, Santa Fe, NM 87501 Texas Capitol, 1100 Congress Avenue, Austin, TX 78701 1106403 10.647777777777778 +Indiana State Capitol, Indianapolis, IN 46204 Nevada State Capitol, Carson City, NV 89701 3322968 29.933611111111112 +West Virginia State Capitol, Charleston, WV 25317 2 E Main St, Madison, WI 53703 1036808 9.813333333333333 +L St & 10th St, Sacramento, CA 95814 Tennessee State Capitol, 600 Charlotte Avenue, Nashville, TN 37243 3668991 32.74611111111111 +North Dakota State Capitol, Bismarck, ND 58501 South Carolina State House, 1100 Gervais Street, Columbia, SC 29201 2635531 23.70916666666667 +700 W Jefferson St, Boise, ID 83720 Nevada State Capitol, Carson City, NV 89701 704765 6.965 +Minnesota State Capitol, St Paul, MN 55155 Montana State Capitol, 1301 E 6th Ave, Helena, MT 59601 1684917 15.38 +Arizona State Capitol, 1700 W Washington St, Phoenix, AZ 85007 North Dakota State Capitol, Bismarck, ND 58501 2376757 22.615833333333335 +Legislative Hall: The State Capitol, Legislative Avenue, Dover, DE 19901 Illinois State Capitol, Springfield, IL 62756 1404632 13.471388888888889 +Oklahoma State Capitol, Oklahoma City, OK 73105 Vermont State House, 115 State Street, Montpelier, VT 05633 2658420 24.825555555555557 +200 E Colfax Ave, Denver, CO 80203 New Jersey State House, Trenton, NJ 08608 2810632 25.461666666666666 +North Carolina State Capitol, Raleigh, NC 27601 Wyoming State Capitol, Cheyenne, WY 82001 2749593 25.06388888888889 +Texas Capitol, 1100 Congress Avenue, Austin, TX 78701 Vermont State House, 115 State Street, Montpelier, VT 05633 3178782 29.566111111111113 +Arkansas State Capitol, 500 Woodlane Street, Little Rock, AR 72201 Pennsylvania State Capitol Building, North 3rd Street, Harrisburg, PA 17120 1718292 15.6325 +Maryland State House, 100 State Cir, Annapolis, MD 21401 Ohio State Capitol, 1 Capitol Square, Columbus, OH 43215 684897 6.671666666666667 +North Dakota State Capitol, Bismarck, ND 58501 Pennsylvania State Capitol Building, North 3rd Street, Harrisburg, PA 17120 2406031 21.8175 +Illinois State Capitol, Springfield, IL 62756 300 SW 10th Ave, Topeka, KS 66612 601069 5.632777777777778 +Ohio State Capitol, 1 Capitol Square, Columbus, OH 43215 Virginia State Capitol, Richmond, VA 23219 770599 7.291944444444445 +Michigan State Capitol, Lansing, MI 48933 Wyoming State Capitol, Cheyenne, WY 82001 1870400 16.7125 +Alabama State Capitol, 600 Dexter Avenue, Montgomery, AL 36130 402 S Monroe St, Tallahassee, FL 32301 339009 3.7333333333333334 +402 S Monroe St, Tallahassee, FL 32301 New Jersey State House, Trenton, NJ 08608 1685972 15.141111111111112 +Massachusetts State House, Boston, MA 02108 Washington State Capitol Bldg, 416 Sid Snyder Ave SW, Olympia, WA 98504 4978891 44.84638888888889 +Tennessee State Capitol, 600 Charlotte Avenue, Nashville, TN 37243 Vermont State House, 115 State Street, Montpelier, VT 05633 1803150 17.30361111111111 +Alabama State Capitol, 600 Dexter Avenue, Montgomery, AL 36130 Wyoming State Capitol, Cheyenne, WY 82001 2371746 21.289722222222224 +Iowa State Capitol, 1007 E Grand Ave, Des Moines, IA 50319 Minnesota State Capitol, St Paul, MN 55155 393856 3.536388888888889 +Texas Capitol, 1100 Congress Avenue, Austin, TX 78701 West Virginia State Capitol, Charleston, WV 25317 2007288 18.133055555555554 +Massachusetts State House, Boston, MA 02108 Nevada State Capitol, Carson City, NV 89701 4654602 42.11972222222222 +Indiana State Capitol, Indianapolis, IN 46204 Tennessee State Capitol, 600 Charlotte Avenue, Nashville, TN 37243 463791 4.415555555555556 +Texas Capitol, 1100 Congress Avenue, Austin, TX 78701 Wyoming State Capitol, Cheyenne, WY 82001 1637527 15.243333333333334 +Michigan State Capitol, Lansing, MI 48933 Rhode Island State House, 82 Smith Street, Providence, RI 02903 1242182 11.545277777777779 +402 S Monroe St, Tallahassee, FL 32301 Iowa State Capitol, 1007 E Grand Ave, Des Moines, IA 50319 1841801 17.4175 +Illinois State Capitol, Springfield, IL 62756 Maryland State House, 100 State Cir, Annapolis, MD 21401 1302845 12.267222222222221 +Arkansas State Capitol, 500 Woodlane Street, Little Rock, AR 72201 Washington State Capitol Bldg, 416 Sid Snyder Ave SW, Olympia, WA 98504 3708217 33.0375 +Kentucky State Capitol Building, 700 Capitol Avenue, Frankfort, KY 40601 Utah State Capitol, Salt Lake City, UT 84103 2632968 23.90361111111111 +Iowa State Capitol, 1007 E Grand Ave, Des Moines, IA 50319 Kentucky State Capitol Building, 700 Capitol Avenue, Frankfort, KY 40601 1025967 9.347222222222221 +400-498 N West St, Jackson, MS 39201 Missouri State Capitol, Jefferson City, MO 65101 874641 8.697777777777778 +Michigan State Capitol, Lansing, MI 48933 New Jersey State House, Trenton, NJ 08608 1075790 9.922777777777778 +Maine State House, Augusta, ME 04330 North Carolina State Capitol, Raleigh, NC 27601 1405764 13.345277777777778 +Michigan State Capitol, Lansing, MI 48933 400-498 N West St, Jackson, MS 39201 1486311 13.251111111111111 +Maryland State House, 100 State Cir, Annapolis, MD 21401 Utah State Capitol, Salt Lake City, UT 84103 3392343 30.753611111111113 +Louisiana State Capitol, Baton Rouge, LA 70802 Missouri State Capitol, Jefferson City, MO 65101 1157480 11.186111111111112 +Connecticut State Capitol, 210 Capitol Ave, Hartford, CT 06106 300 SW 10th Ave, Topeka, KS 66612 2218253 20.36777777777778 +Louisiana State Capitol, Baton Rouge, LA 70802 Rhode Island State House, 82 Smith Street, Providence, RI 02903 2496412 22.764166666666668 +Utah State Capitol, Salt Lake City, UT 84103 Wyoming State Capitol, Cheyenne, WY 82001 713245 6.519166666666667 +Arizona State Capitol, 1700 W Washington St, Phoenix, AZ 85007 Connecticut State Capitol, 210 Capitol Ave, Hartford, CT 06106 4078845 37.13194444444444 +Nebraska State Capitol, 1445 K Street, Lincoln, NE 68509 Oklahoma State Capitol, Oklahoma City, OK 73105 696496 6.364444444444445 +Massachusetts State House, Boston, MA 02108 Minnesota State Capitol, St Paul, MN 55155 2235235 20.5425 +North Dakota State Capitol, Bismarck, ND 58501 500 E Capitol Ave, Pierre, SD 57501 336454 3.381388888888889 +Montana State Capitol, 1301 E 6th Ave, Helena, MT 59601 500 E Capitol Ave, Pierre, SD 57501 1127755 10.738055555555556 +Illinois State Capitol, Springfield, IL 62756 Texas Capitol, 1100 Congress Avenue, Austin, TX 78701 1482225 14.017222222222221 +402 S Monroe St, Tallahassee, FL 32301 Massachusetts State House, Boston, MA 02108 2109362 19.355833333333333 +Oregon State Capitol, 900 Court St NE, Salem, OR 97301 South Carolina State House, 1100 Gervais Street, Columbia, SC 29201 4565848 41.25611111111111 +402 S Monroe St, Tallahassee, FL 32301 Nevada State Capitol, Carson City, NV 89701 3969361 36.64666666666667 +L St & 10th St, Sacramento, CA 95814 South Carolina State House, 1100 Gervais Street, Columbia, SC 29201 4312359 38.533055555555556 +200 E Colfax Ave, Denver, CO 80203 Maine State House, Augusta, ME 04330 3418388 30.80361111111111 +Indiana State Capitol, Indianapolis, IN 46204 Oklahoma State Capitol, Oklahoma City, OK 73105 1185153 10.749166666666667 +Legislative Hall: The State Capitol, Legislative Avenue, Dover, DE 19901 New Mexico State Capitol, Santa Fe, NM 87501 3113952 28.691111111111113 +Louisiana State Capitol, Baton Rouge, LA 70802 Maine State House, Augusta, ME 04330 2793719 25.500555555555554 +Maine State House, Augusta, ME 04330 New Mexico State Capitol, Santa Fe, NM 87501 3823704 34.58638888888889 +State House, 107 North Main Street, Concord, NH 03303 Virginia State Capitol, Richmond, VA 23219 981920 9.505555555555556 +402 S Monroe St, Tallahassee, FL 32301 Minnesota State Capitol, St Paul, MN 55155 2196529 20.065 +Minnesota State Capitol, St Paul, MN 55155 West Virginia State Capitol, Charleston, WV 25317 1438029 13.313888888888888 +Nebraska State Capitol, 1445 K Street, Lincoln, NE 68509 Washington State Capitol Bldg, 416 Sid Snyder Ave SW, Olympia, WA 98504 2748473 24.67 +Utah State Capitol, Salt Lake City, UT 84103 Washington State Capitol Bldg, 416 Sid Snyder Ave SW, Olympia, WA 98504 1399410 12.69138888888889 +State House, 107 North Main Street, Concord, NH 03303 Wyoming State Capitol, Cheyenne, WY 82001 3082303 28.630555555555556 +Missouri State Capitol, Jefferson City, MO 65101 North Dakota State Capitol, Bismarck, ND 58501 1521256 13.33611111111111 +L St & 10th St, Sacramento, CA 95814 Georgia State Capitol, Atlanta, GA 30334 3969099 35.581944444444446 +700 W Jefferson St, Boise, ID 83720 Ohio State Capitol, 1 Capitol Square, Columbus, OH 43215 3240708 28.74277777777778 +Illinois State Capitol, Springfield, IL 62756 Virginia State Capitol, Richmond, VA 23219 1350670 12.571666666666667 +Ohio State Capitol, 1 Capitol Square, Columbus, OH 43215 500 E Capitol Ave, Pierre, SD 57501 1836021 16.49972222222222 +Tennessee State Capitol, 600 Charlotte Avenue, Nashville, TN 37243 Wyoming State Capitol, Cheyenne, WY 82001 1922417 17.38083333333333 +Alabama State Capitol, 600 Dexter Avenue, Montgomery, AL 36130 Rhode Island State House, 82 Smith Street, Providence, RI 02903 1945535 18.18722222222222 +New York State Capitol, State St. and Washington Ave, Albany, NY 12224 Virginia State Capitol, Richmond, VA 23219 770231 7.3625 +Missouri State Capitol, Jefferson City, MO 65101 Nebraska State Capitol, 1445 K Street, Lincoln, NE 68509 565824 5.4494444444444445 +Connecticut State Capitol, 210 Capitol Ave, Hartford, CT 06106 Indiana State Capitol, Indianapolis, IN 46204 1344056 12.471111111111112 +Alabama State Capitol, 600 Dexter Avenue, Montgomery, AL 36130 Oklahoma State Capitol, Oklahoma City, OK 73105 1274629 11.588611111111112 +Montana State Capitol, 1301 E 6th Ave, Helena, MT 59601 Pennsylvania State Capitol Building, North 3rd Street, Harrisburg, PA 17120 3389980 30.9225 +Alabama State Capitol, 600 Dexter Avenue, Montgomery, AL 36130 700 W Jefferson St, Boise, ID 83720 3551935 31.739166666666666 +North Carolina State Capitol, Raleigh, NC 27601 Ohio State Capitol, 1 Capitol Square, Columbus, OH 43215 771396 7.4944444444444445 +Illinois State Capitol, Springfield, IL 62756 Kentucky State Capitol Building, 700 Capitol Avenue, Frankfort, KY 40601 600913 5.644166666666667 +Indiana State Capitol, Indianapolis, IN 46204 Missouri State Capitol, Jefferson City, MO 65101 589960 5.5311111111111115 +402 S Monroe St, Tallahassee, FL 32301 Rhode Island State House, 82 Smith Street, Providence, RI 02903 2059331 18.823055555555555 +Minnesota State Capitol, St Paul, MN 55155 Washington State Capitol Bldg, 416 Sid Snyder Ave SW, Olympia, WA 98504 2746945 24.42527777777778 +Arizona State Capitol, 1700 W Washington St, Phoenix, AZ 85007 New Mexico State Capitol, Santa Fe, NM 87501 774427 7.361111111111111 +New Mexico State Capitol, Santa Fe, NM 87501 North Carolina State Capitol, Raleigh, NC 27601 2813969 25.462222222222223 +Nebraska State Capitol, 1445 K Street, Lincoln, NE 68509 500 E Capitol Ave, Pierre, SD 57501 660935 6.571111111111111 +Nebraska State Capitol, 1445 K Street, Lincoln, NE 68509 Ohio State Capitol, 1 Capitol Square, Columbus, OH 43215 1316090 12.180277777777778 +Connecticut State Capitol, 210 Capitol Ave, Hartford, CT 06106 Texas Capitol, 1100 Congress Avenue, Austin, TX 78701 2999476 27.310555555555556 +L St & 10th St, Sacramento, CA 95814 Michigan State Capitol, Lansing, MI 48933 3620857 32.124722222222225 +Legislative Hall: The State Capitol, Legislative Avenue, Dover, DE 19901 700 W Jefferson St, Boise, ID 83720 3963934 35.91777777777778 +Montana State Capitol, 1301 E 6th Ave, Helena, MT 59601 West Virginia State Capitol, Charleston, WV 25317 3119986 28.509166666666665 +Alabama State Capitol, 600 Dexter Avenue, Montgomery, AL 36130 L St & 10th St, Sacramento, CA 95814 3878584 34.79833333333333 +Montana State Capitol, 1301 E 6th Ave, Helena, MT 59601 Oregon State Capitol, 900 Court St NE, Salem, OR 97301 1138460 10.850833333333334 +Legislative Hall: The State Capitol, Legislative Avenue, Dover, DE 19901 North Carolina State Capitol, Raleigh, NC 27601 598142 5.8502777777777775 +Rhode Island State House, 82 Smith Street, Providence, RI 02903 Vermont State House, 115 State Street, Montpelier, VT 05633 367228 3.4922222222222223 +Maryland State House, 100 State Cir, Annapolis, MD 21401 Minnesota State Capitol, St Paul, MN 55155 1819133 16.771944444444443 +402 S Monroe St, Tallahassee, FL 32301 500 E Capitol Ave, Pierre, SD 57501 2618860 23.874166666666667 +Ohio State Capitol, 1 Capitol Square, Columbus, OH 43215 Rhode Island State House, 82 Smith Street, Providence, RI 02903 1165413 11.170277777777779 +Kentucky State Capitol Building, 700 Capitol Avenue, Frankfort, KY 40601 South Carolina State House, 1100 Gervais Street, Columbia, SC 29201 737764 6.850555555555555 +Alabama State Capitol, 600 Dexter Avenue, Montgomery, AL 36130 Arkansas State Capitol, 500 Woodlane Street, Little Rock, AR 72201 743518 6.871666666666667 +Indiana State Capitol, Indianapolis, IN 46204 Minnesota State Capitol, St Paul, MN 55155 942436 8.643333333333333 +Utah State Capitol, Salt Lake City, UT 84103 West Virginia State Capitol, Charleston, WV 25317 2948970 26.514444444444443 +400-498 N West St, Jackson, MS 39201 New Jersey State House, Trenton, NJ 08608 1860894 16.893333333333334 +Maryland State House, 100 State Cir, Annapolis, MD 21401 State House, 107 North Main Street, Concord, NH 03303 781177 7.66 +Utah State Capitol, Salt Lake City, UT 84103 Vermont State House, 115 State Street, Montpelier, VT 05633 3757481 34.615833333333335 +Missouri State Capitol, Jefferson City, MO 65101 Texas Capitol, 1100 Congress Avenue, Austin, TX 78701 1200610 11.5825 +Pennsylvania State Capitol Building, North 3rd Street, Harrisburg, PA 17120 Utah State Capitol, Salt Lake City, UT 84103 3287474 29.73472222222222 +Montana State Capitol, 1301 E 6th Ave, Helena, MT 59601 Washington State Capitol Bldg, 416 Sid Snyder Ave SW, Olympia, WA 98504 1013497 9.551666666666666 +Louisiana State Capitol, Baton Rouge, LA 70802 Washington State Capitol Bldg, 416 Sid Snyder Ave SW, Olympia, WA 98504 4129269 37.654444444444444 +400-498 N West St, Jackson, MS 39201 South Carolina State House, 1100 Gervais Street, Columbia, SC 29201 957477 8.536666666666667 +700 W Jefferson St, Boise, ID 83720 Washington State Capitol Bldg, 416 Sid Snyder Ave SW, Olympia, WA 98504 861910 8.105 +Minnesota State Capitol, St Paul, MN 55155 400-498 N West St, Jackson, MS 39201 1616982 15.023333333333333 +L St & 10th St, Sacramento, CA 95814 Nebraska State Capitol, 1445 K Street, Lincoln, NE 68509 2461787 21.753611111111113 +Arizona State Capitol, 1700 W Washington St, Phoenix, AZ 85007 Utah State Capitol, Salt Lake City, UT 84103 1062245 10.053888888888888 +New Jersey State House, Trenton, NJ 08608 2 E Main St, Madison, WI 53703 1501153 13.934722222222222 +Arkansas State Capitol, 500 Woodlane Street, Little Rock, AR 72201 402 S Monroe St, Tallahassee, FL 32301 1080808 10.475833333333334 +Nebraska State Capitol, 1445 K Street, Lincoln, NE 68509 New York State Capitol, State St. and Washington Ave, Albany, NY 12224 2133342 19.453333333333333 +Arkansas State Capitol, 500 Woodlane Street, Little Rock, AR 72201 New Mexico State Capitol, Santa Fe, NM 87501 1403049 12.560555555555556 +Arkansas State Capitol, 500 Woodlane Street, Little Rock, AR 72201 Maine State House, Augusta, ME 04330 2585218 23.77166666666667 +700 W Jefferson St, Boise, ID 83720 Kentucky State Capitol Building, 700 Capitol Avenue, Frankfort, KY 40601 3105847 27.80527777777778 +North Dakota State Capitol, Bismarck, ND 58501 Virginia State Capitol, Richmond, VA 23219 2633526 23.948611111111113 +Kentucky State Capitol Building, 700 Capitol Avenue, Frankfort, KY 40601 Maryland State House, 100 State Cir, Annapolis, MD 21401 934431 8.569722222222222 +400-498 N West St, Jackson, MS 39201 West Virginia State Capitol, Charleston, WV 25317 1287322 11.7175 +Nebraska State Capitol, 1445 K Street, Lincoln, NE 68509 West Virginia State Capitol, Charleston, WV 25317 1524476 13.97638888888889 +State House, 107 North Main Street, Concord, NH 03303 West Virginia State Capitol, Charleston, WV 25317 1303076 12.18138888888889 +Massachusetts State House, Boston, MA 02108 500 E Capitol Ave, Pierre, SD 57501 2862687 25.990833333333335 +Nevada State Capitol, Carson City, NV 89701 500 E Capitol Ave, Pierre, SD 57501 2192372 19.86277777777778 +Iowa State Capitol, 1007 E Grand Ave, Des Moines, IA 50319 New York State Capitol, State St. and Washington Ave, Albany, NY 12224 1826496 16.678055555555556 +Maryland State House, 100 State Cir, Annapolis, MD 21401 Virginia State Capitol, Richmond, VA 23219 230875 2.296666666666667 +Connecticut State Capitol, 210 Capitol Ave, Hartford, CT 06106 Montana State Capitol, 1301 E 6th Ave, Helena, MT 59601 3769670 34.43888888888889 +North Carolina State Capitol, Raleigh, NC 27601 Vermont State House, 115 State Street, Montpelier, VT 05633 1319088 12.4925 +Louisiana State Capitol, Baton Rouge, LA 70802 400-498 N West St, Jackson, MS 39201 283870 2.6305555555555555 +New Mexico State Capitol, Santa Fe, NM 87501 Ohio State Capitol, 1 Capitol Square, Columbus, OH 43215 2331032 20.911666666666665 +New Jersey State House, Trenton, NJ 08608 500 E Capitol Ave, Pierre, SD 57501 2535528 22.92972222222222 +700 W Jefferson St, Boise, ID 83720 400-498 N West St, Jackson, MS 39201 3256677 29.30611111111111 +Indiana State Capitol, Indianapolis, IN 46204 New York State Capitol, State St. and Washington Ave, Albany, NY 12224 1263835 11.571388888888889 +Alabama State Capitol, 600 Dexter Avenue, Montgomery, AL 36130 South Carolina State House, 1100 Gervais Street, Columbia, SC 29201 593674 5.222222222222222 +North Dakota State Capitol, Bismarck, ND 58501 2 E Main St, Madison, WI 53703 1115357 10.044166666666667 +402 S Monroe St, Tallahassee, FL 32301 Missouri State Capitol, Jefferson City, MO 65101 1496353 14.028888888888888 +Arkansas State Capitol, 500 Woodlane Street, Little Rock, AR 72201 North Carolina State Capitol, Raleigh, NC 27601 1426809 13.190555555555555 +Indiana State Capitol, Indianapolis, IN 46204 Pennsylvania State Capitol Building, North 3rd Street, Harrisburg, PA 17120 873206 8.295277777777779 +Kentucky State Capitol Building, 700 Capitol Avenue, Frankfort, KY 40601 Massachusetts State House, Boston, MA 02108 1524831 14.299444444444445 +Alabama State Capitol, 600 Dexter Avenue, Montgomery, AL 36130 Nebraska State Capitol, 1445 K Street, Lincoln, NE 68509 1655113 15.069444444444445 +Georgia State Capitol, Atlanta, GA 30334 North Dakota State Capitol, Bismarck, ND 58501 2501491 22.174444444444443 +700 W Jefferson St, Boise, ID 83720 Wyoming State Capitol, Cheyenne, WY 82001 1185449 10.55638888888889 +300 SW 10th Ave, Topeka, KS 66612 400-498 N West St, Jackson, MS 39201 1158756 11.0025 +Kentucky State Capitol Building, 700 Capitol Avenue, Frankfort, KY 40601 2 E Main St, Madison, WI 53703 799075 7.559166666666667 +Louisiana State Capitol, Baton Rouge, LA 70802 Nebraska State Capitol, 1445 K Street, Lincoln, NE 68509 1539070 15.27138888888889 +Nevada State Capitol, Carson City, NV 89701 New Mexico State Capitol, Santa Fe, NM 87501 1693243 15.817222222222222 +Montana State Capitol, 1301 E 6th Ave, Helena, MT 59601 New York State Capitol, State St. and Washington Ave, Albany, NY 12224 3648222 33.21222222222222 +200 E Colfax Ave, Denver, CO 80203 New Mexico State Capitol, Santa Fe, NM 87501 628035 5.675277777777778 +Michigan State Capitol, Lansing, MI 48933 Washington State Capitol Bldg, 416 Sid Snyder Ave SW, Olympia, WA 98504 3748085 33.44166666666667 +Ohio State Capitol, 1 Capitol Square, Columbus, OH 43215 Oklahoma State Capitol, Oklahoma City, OK 73105 1468075 13.293333333333333 +400-498 N West St, Jackson, MS 39201 500 E Capitol Ave, Pierre, SD 57501 1996477 18.362222222222222 +Legislative Hall: The State Capitol, Legislative Avenue, Dover, DE 19901 Indiana State Capitol, Indianapolis, IN 46204 1065356 10.381944444444445 +Maine State House, Augusta, ME 04330 New Jersey State House, Trenton, NJ 08608 698330 6.790555555555556 +L St & 10th St, Sacramento, CA 95814 700 W Jefferson St, Boise, ID 83720 894846 8.514444444444445 +200 E Colfax Ave, Denver, CO 80203 2 E Main St, Madison, WI 53703 1554292 13.9325 +Alabama State Capitol, 600 Dexter Avenue, Montgomery, AL 36130 West Virginia State Capitol, Charleston, WV 25317 1044556 9.495 +Texas Capitol, 1100 Congress Avenue, Austin, TX 78701 Virginia State Capitol, Richmond, VA 23219 2367739 21.315277777777776 +Indiana State Capitol, Indianapolis, IN 46204 Maryland State House, 100 State Cir, Annapolis, MD 21401 962969 9.191944444444445 +South Carolina State House, 1100 Gervais Street, Columbia, SC 29201 Washington State Capitol Bldg, 416 Sid Snyder Ave SW, Olympia, WA 98504 4617683 41.74583333333333 +400-498 N West St, Jackson, MS 39201 Tennessee State Capitol, 600 Charlotte Avenue, Nashville, TN 37243 666003 5.996944444444445 +Virginia State Capitol, Richmond, VA 23219 Wyoming State Capitol, Cheyenne, WY 82001 2747570 24.87 +Maine State House, Augusta, ME 04330 South Carolina State House, 1100 Gervais Street, Columbia, SC 29201 1732435 16.153333333333332 +Massachusetts State House, Boston, MA 02108 Tennessee State Capitol, 600 Charlotte Avenue, Nashville, TN 37243 1777219 16.496111111111112 +200 E Colfax Ave, Denver, CO 80203 Oklahoma State Capitol, Oklahoma City, OK 73105 1083636 9.535277777777777 +Georgia State Capitol, Atlanta, GA 30334 400-498 N West St, Jackson, MS 39201 614336 5.541388888888889 +New Jersey State House, Trenton, NJ 08608 Virginia State Capitol, Richmond, VA 23219 455416 4.516944444444444 +Massachusetts State House, Boston, MA 02108 Vermont State House, 115 State Street, Montpelier, VT 05633 289370 2.7591666666666668 +Arkansas State Capitol, 500 Woodlane Street, Little Rock, AR 72201 700 W Jefferson St, Boise, ID 83720 2853423 25.184444444444445 +Ohio State Capitol, 1 Capitol Square, Columbus, OH 43215 2 E Main St, Madison, WI 53703 815071 7.6075 +Nevada State Capitol, Carson City, NV 89701 North Carolina State Capitol, Raleigh, NC 27601 4328609 38.8525 +North Dakota State Capitol, Bismarck, ND 58501 West Virginia State Capitol, Charleston, WV 25317 2136037 19.404444444444444 +New Jersey State House, Trenton, NJ 08608 North Carolina State Capitol, Raleigh, NC 27601 724043 6.948888888888889 +Indiana State Capitol, Indianapolis, IN 46204 2 E Main St, Madison, WI 53703 535514 5.096388888888889 +500 E Capitol Ave, Pierre, SD 57501 Virginia State Capitol, Richmond, VA 23219 2562885 23.285555555555554 +State House, 107 North Main Street, Concord, NH 03303 South Carolina State House, 1100 Gervais Street, Columbia, SC 29201 1577218 14.745555555555555 +New Jersey State House, Trenton, NJ 08608 Wyoming State Capitol, Cheyenne, WY 82001 2774047 25.05611111111111 +400-498 N West St, Jackson, MS 39201 Pennsylvania State Capitol Building, North 3rd Street, Harrisburg, PA 17120 1662623 15.061666666666667 +Minnesota State Capitol, St Paul, MN 55155 Texas Capitol, 1100 Congress Avenue, Austin, TX 78701 1888668 16.8 +Georgia State Capitol, Atlanta, GA 30334 Indiana State Capitol, Indianapolis, IN 46204 861058 7.981388888888889 +700 W Jefferson St, Boise, ID 83720 Missouri State Capitol, Jefferson City, MO 65101 2460836 21.95916666666667 +North Dakota State Capitol, Bismarck, ND 58501 Oklahoma State Capitol, Oklahoma City, OK 73105 1494640 14.765277777777778 +200 E Colfax Ave, Denver, CO 80203 Indiana State Capitol, Indianapolis, IN 46204 1742380 15.568333333333333 +Missouri State Capitol, Jefferson City, MO 65101 Utah State Capitol, Salt Lake City, UT 84103 1989694 18.076666666666668 +Arkansas State Capitol, 500 Woodlane Street, Little Rock, AR 72201 500 E Capitol Ave, Pierre, SD 57501 1618094 14.431944444444444 +Montana State Capitol, 1301 E 6th Ave, Helena, MT 59601 Nevada State Capitol, Carson City, NV 89701 1439435 12.973055555555556 +Montana State Capitol, 1301 E 6th Ave, Helena, MT 59601 Tennessee State Capitol, 600 Charlotte Avenue, Nashville, TN 37243 2912212 26.12638888888889 +Indiana State Capitol, Indianapolis, IN 46204 Texas Capitol, 1100 Congress Avenue, Austin, TX 78701 1760623 15.893611111111111 +300 SW 10th Ave, Topeka, KS 66612 Missouri State Capitol, Jefferson City, MO 65101 352120 3.2605555555555554 +Ohio State Capitol, 1 Capitol Square, Columbus, OH 43215 Wyoming State Capitol, Cheyenne, WY 82001 2060174 18.44611111111111 +Iowa State Capitol, 1007 E Grand Ave, Des Moines, IA 50319 500 E Capitol Ave, Pierre, SD 57501 809818 7.162222222222222 +Alabama State Capitol, 600 Dexter Avenue, Montgomery, AL 36130 Tennessee State Capitol, 600 Charlotte Avenue, Nashville, TN 37243 451917 4.066666666666666 +Georgia State Capitol, Atlanta, GA 30334 Texas Capitol, 1100 Congress Avenue, Austin, TX 78701 1534179 13.697777777777778 +New York State Capitol, State St. and Washington Ave, Albany, NY 12224 South Carolina State House, 1100 Gervais Street, Columbia, SC 29201 1365529 12.602222222222222 +Connecticut State Capitol, 210 Capitol Ave, Hartford, CT 06106 Rhode Island State House, 82 Smith Street, Providence, RI 02903 140938 1.5366666666666666 +Iowa State Capitol, 1007 E Grand Ave, Des Moines, IA 50319 2 E Main St, Madison, WI 53703 474235 4.506666666666667 +Oklahoma State Capitol, Oklahoma City, OK 73105 Wyoming State Capitol, Cheyenne, WY 82001 1232122 10.689444444444444 +Connecticut State Capitol, 210 Capitol Ave, Hartford, CT 06106 Oklahoma State Capitol, Oklahoma City, OK 73105 2528255 23.06833333333333 +Ohio State Capitol, 1 Capitol Square, Columbus, OH 43215 Oregon State Capitol, 900 Court St NE, Salem, OR 97301 3998563 36.00805555555556 +Arkansas State Capitol, 500 Woodlane Street, Little Rock, AR 72201 Wyoming State Capitol, Cheyenne, WY 82001 1702419 14.832777777777778 +Vermont State House, 115 State Street, Montpelier, VT 05633 Virginia State Capitol, Richmond, VA 23219 1050640 10.086944444444445 +400-498 N West St, Jackson, MS 39201 Oklahoma State Capitol, Oklahoma City, OK 73105 980722 8.903333333333334 +Illinois State Capitol, Springfield, IL 62756 Indiana State Capitol, Indianapolis, IN 46204 331633 3.2391666666666667 +Connecticut State Capitol, 210 Capitol Ave, Hartford, CT 06106 Illinois State Capitol, Springfield, IL 62756 1683332 15.560555555555556 +Arizona State Capitol, 1700 W Washington St, Phoenix, AZ 85007 Montana State Capitol, 1301 E 6th Ave, Helena, MT 59601 1832197 16.561944444444446 +State House, 107 North Main Street, Concord, NH 03303 Utah State Capitol, Salt Lake City, UT 84103 3789540 35.0375 +Arizona State Capitol, 1700 W Washington St, Phoenix, AZ 85007 Nebraska State Capitol, 1445 K Street, Lincoln, NE 68509 1994652 18.935 +Kentucky State Capitol Building, 700 Capitol Avenue, Frankfort, KY 40601 Wyoming State Capitol, Cheyenne, WY 82001 1925731 17.496388888888887 +200 E Colfax Ave, Denver, CO 80203 Legislative Hall: The State Capitol, Legislative Avenue, Dover, DE 19901 2802811 25.78611111111111 +Maine State House, Augusta, ME 04330 Nebraska State Capitol, 1445 K Street, Lincoln, NE 68509 2644828 24.156111111111112 +Arkansas State Capitol, 500 Woodlane Street, Little Rock, AR 72201 New Jersey State House, Trenton, NJ 08608 1916564 17.464166666666667 +Minnesota State Capitol, St Paul, MN 55155 Missouri State Capitol, Jefferson City, MO 65101 816553 7.780833333333334 +Oregon State Capitol, 900 Court St NE, Salem, OR 97301 Washington State Capitol Bldg, 416 Sid Snyder Ave SW, Olympia, WA 98504 257602 2.6061111111111113 +Illinois State Capitol, Springfield, IL 62756 State House, 107 North Main Street, Concord, NH 03303 1826951 17.735277777777778 +Nebraska State Capitol, 1445 K Street, Lincoln, NE 68509 North Carolina State Capitol, Raleigh, NC 27601 2033325 18.810833333333335 +Arkansas State Capitol, 500 Woodlane Street, Little Rock, AR 72201 Rhode Island State House, 82 Smith Street, Providence, RI 02903 2287910 21.03527777777778 +200 E Colfax Ave, Denver, CO 80203 402 S Monroe St, Tallahassee, FL 32301 2618682 23.936944444444446 +Arkansas State Capitol, 500 Woodlane Street, Little Rock, AR 72201 Legislative Hall: The State Capitol, Legislative Avenue, Dover, DE 19901 1791330 16.66583333333333 +Kentucky State Capitol Building, 700 Capitol Avenue, Frankfort, KY 40601 New York State Capitol, State St. and Washington Ave, Albany, NY 12224 1282062 12.008611111111112 +New Mexico State Capitol, Santa Fe, NM 87501 Virginia State Capitol, Richmond, VA 23219 2934829 26.29083333333333 +Minnesota State Capitol, St Paul, MN 55155 Vermont State House, 115 State Street, Montpelier, VT 05633 2176956 20.704722222222223 +Iowa State Capitol, 1007 E Grand Ave, Des Moines, IA 50319 West Virginia State Capitol, Charleston, WV 25317 1270293 11.675833333333333 +Nebraska State Capitol, 1445 K Street, Lincoln, NE 68509 Tennessee State Capitol, 600 Charlotte Avenue, Nashville, TN 37243 1202866 11.0975 +Montana State Capitol, 1301 E 6th Ave, Helena, MT 59601 Ohio State Capitol, 1 Capitol Square, Columbus, OH 43215 2897903 26.289166666666667 +200 E Colfax Ave, Denver, CO 80203 Michigan State Capitol, Lansing, MI 48933 1938989 17.19 +Tennessee State Capitol, 600 Charlotte Avenue, Nashville, TN 37243 Texas Capitol, 1100 Congress Avenue, Austin, TX 78701 1381842 12.518888888888888 +Iowa State Capitol, 1007 E Grand Ave, Des Moines, IA 50319 Michigan State Capitol, Lansing, MI 48933 858932 7.764444444444444 +New York State Capitol, State St. and Washington Ave, Albany, NY 12224 Rhode Island State House, 82 Smith Street, Providence, RI 02903 261924 2.602222222222222 +Massachusetts State House, Boston, MA 02108 400-498 N West St, Jackson, MS 39201 2281091 20.94638888888889 +Arizona State Capitol, 1700 W Washington St, Phoenix, AZ 85007 New York State Capitol, State St. and Washington Ave, Albany, NY 12224 3997144 36.134166666666665 +Arkansas State Capitol, 500 Woodlane Street, Little Rock, AR 72201 Oregon State Capitol, 900 Court St NE, Salem, OR 97301 3611622 32.29694444444444 +Oklahoma State Capitol, Oklahoma City, OK 73105 Washington State Capitol Bldg, 416 Sid Snyder Ave SW, Olympia, WA 98504 3237920 28.89388888888889 +Michigan State Capitol, Lansing, MI 48933 New York State Capitol, State St. and Washington Ave, Albany, NY 12224 987696 9.139722222222222 +Kentucky State Capitol Building, 700 Capitol Avenue, Frankfort, KY 40601 500 E Capitol Ave, Pierre, SD 57501 1811441 16.343611111111112 +State House, 107 North Main Street, Concord, NH 03303 North Dakota State Capitol, Bismarck, ND 58501 2914129 27.160555555555554 +L St & 10th St, Sacramento, CA 95814 Louisiana State Capitol, Baton Rouge, LA 70802 3538731 31.1025 +Arizona State Capitol, 1700 W Washington St, Phoenix, AZ 85007 402 S Monroe St, Tallahassee, FL 32301 3034934 26.629444444444445 +State House, 107 North Main Street, Concord, NH 03303 Vermont State House, 115 State Street, Montpelier, VT 05633 179010 1.801111111111111 +L St & 10th St, Sacramento, CA 95814 Oklahoma State Capitol, Oklahoma City, OK 73105 2613800 23.4225 +Oregon State Capitol, 900 Court St NE, Salem, OR 97301 Wyoming State Capitol, Cheyenne, WY 82001 1944950 17.691388888888888 +402 S Monroe St, Tallahassee, FL 32301 Ohio State Capitol, 1 Capitol Square, Columbus, OH 43215 1332540 12.580833333333333 +Nevada State Capitol, Carson City, NV 89701 Rhode Island State House, 82 Smith Street, Providence, RI 02903 4660609 41.84861111111111 +Indiana State Capitol, Indianapolis, IN 46204 Utah State Capitol, Salt Lake City, UT 84103 2476810 22.338333333333335 +Tennessee State Capitol, 600 Charlotte Avenue, Nashville, TN 37243 Virginia State Capitol, Richmond, VA 23219 988289 9.033333333333333 +Connecticut State Capitol, 210 Capitol Ave, Hartford, CT 06106 West Virginia State Capitol, Charleston, WV 25317 1052764 9.833333333333334 +Arkansas State Capitol, 500 Woodlane Street, Little Rock, AR 72201 New York State Capitol, State St. and Washington Ave, Albany, NY 12224 2148020 19.5825 +Pennsylvania State Capitol Building, North 3rd Street, Harrisburg, PA 17120 2 E Main St, Madison, WI 53703 1307343 12.206388888888888 +Massachusetts State House, Boston, MA 02108 North Dakota State Capitol, Bismarck, ND 58501 2933033 26.647222222222222 +West Virginia State Capitol, Charleston, WV 25317 Wyoming State Capitol, Cheyenne, WY 82001 2241251 20.226388888888888 +402 S Monroe St, Tallahassee, FL 32301 Texas Capitol, 1100 Congress Avenue, Austin, TX 78701 1400273 12.708055555555555 +Michigan State Capitol, Lansing, MI 48933 Texas Capitol, 1100 Congress Avenue, Austin, TX 78701 2165494 19.401666666666667 +L St & 10th St, Sacramento, CA 95814 Maine State House, Augusta, ME 04330 5100256 45.73833333333334 +700 W Jefferson St, Boise, ID 83720 South Carolina State House, 1100 Gervais Street, Columbia, SC 29201 3806347 34.12111111111111 +North Carolina State Capitol, Raleigh, NC 27601 Oregon State Capitol, 900 Court St NE, Salem, OR 97301 4687982 42.62555555555556 +Oregon State Capitol, 900 Court St NE, Salem, OR 97301 2 E Main St, Madison, WI 53703 3286034 29.595555555555556 +Connecticut State Capitol, 210 Capitol Ave, Hartford, CT 06106 State House, 107 North Main Street, Concord, NH 03303 258007 2.5094444444444446 +700 W Jefferson St, Boise, ID 83720 Nebraska State Capitol, 1445 K Street, Lincoln, NE 68509 1892359 16.68 +Illinois State Capitol, Springfield, IL 62756 Oklahoma State Capitol, Oklahoma City, OK 73105 952777 8.616666666666667 +400-498 N West St, Jackson, MS 39201 Oregon State Capitol, 900 Court St NE, Salem, OR 97301 4016847 36.48111111111111 +Louisiana State Capitol, Baton Rouge, LA 70802 Montana State Capitol, 1301 E 6th Ave, Helena, MT 59601 3232764 29.059722222222224 +State House, 107 North Main Street, Concord, NH 03303 Oklahoma State Capitol, Oklahoma City, OK 73105 2691874 25.178333333333335 +New Jersey State House, Trenton, NJ 08608 New York State Capitol, State St. and Washington Ave, Albany, NY 12224 330136 3.2127777777777777 +300 SW 10th Ave, Topeka, KS 66612 Nevada State Capitol, Carson City, NV 89701 2462119 22.726666666666667 +Kentucky State Capitol Building, 700 Capitol Avenue, Frankfort, KY 40601 Michigan State Capitol, Lansing, MI 48933 663503 6.138055555555556 +Oregon State Capitol, 900 Court St NE, Salem, OR 97301 Rhode Island State House, 82 Smith Street, Providence, RI 02903 5021523 45.5175 +Maryland State House, 100 State Cir, Annapolis, MD 21401 South Carolina State House, 1100 Gervais Street, Columbia, SC 29201 826173 7.536666666666667 +Virginia State Capitol, Richmond, VA 23219 Washington State Capitol Bldg, 416 Sid Snyder Ave SW, Olympia, WA 98504 4684188 42.19861111111111 +Michigan State Capitol, Lansing, MI 48933 Nevada State Capitol, Carson City, NV 89701 3423796 30.715 +New Mexico State Capitol, Santa Fe, NM 87501 Utah State Capitol, Salt Lake City, UT 84103 1009968 10.115833333333333 +Alabama State Capitol, 600 Dexter Avenue, Montgomery, AL 36130 500 E Capitol Ave, Pierre, SD 57501 2279926 20.22833333333333 +State House, 107 North Main Street, Concord, NH 03303 Texas Capitol, 1100 Congress Avenue, Austin, TX 78701 3249787 29.65861111111111 +Iowa State Capitol, 1007 E Grand Ave, Des Moines, IA 50319 New Mexico State Capitol, Santa Fe, NM 87501 1539423 14.454444444444444 +Pennsylvania State Capitol Building, North 3rd Street, Harrisburg, PA 17120 Vermont State House, 115 State Street, Montpelier, VT 05633 725358 7.509444444444444 +402 S Monroe St, Tallahassee, FL 32301 Wyoming State Capitol, Cheyenne, WY 82001 2710679 24.935555555555556 +Georgia State Capitol, Atlanta, GA 30334 Kentucky State Capitol Building, 700 Capitol Avenue, Frankfort, KY 40601 659468 6.027222222222222 +Arizona State Capitol, 1700 W Washington St, Phoenix, AZ 85007 Nevada State Capitol, Carson City, NV 89701 1149381 11.2775 +L St & 10th St, Sacramento, CA 95814 Utah State Capitol, Salt Lake City, UT 84103 1051681 9.350555555555555 +Legislative Hall: The State Capitol, Legislative Avenue, Dover, DE 19901 South Carolina State House, 1100 Gervais Street, Columbia, SC 29201 924813 8.658333333333333 +Illinois State Capitol, Springfield, IL 62756 Rhode Island State House, 82 Smith Street, Providence, RI 02903 1786807 16.83888888888889 \ No newline at end of file diff --git a/pareto-optimized-road-trip/optimized-state-capitols-trip.ipynb b/pareto-optimized-road-trip/optimized-state-capitols-trip.ipynb new file mode 100644 index 0000000..7482b40 --- /dev/null +++ b/pareto-optimized-road-trip/optimized-state-capitols-trip.ipynb @@ -0,0 +1,714 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Computing optimal road trips on a limited budget\n", + "\n", + "This notebook provides the methodology and code used in the blog post, [Computing optimal road trips on a limited budget](http://www.randalolson.com/2016/06/05/computing-optimal-road-trips-on-a-limited-budget/).\n", + "\n", + "### Notebook by [Randal S. Olson](http://www.randalolson.com)\n", + "\n", + "Please see the [repository README file](https://github.com/rhiever/Data-Analysis-and-Machine-Learning-Projects#license) for the licenses and usage terms for the instructional material and code in this notebook. In general, I have licensed this material so that it is as widely useable and shareable as possible.\n", + "\n", + "### Required Python libraries\n", + "\n", + "If you don't have Python on your computer, you can use the [Anaconda Python distribution](http://continuum.io/downloads) to install most of the Python packages you need. Anaconda provides a simple double-click installer for your convenience.\n", + "\n", + "This code uses base Python libraries except for the `googlemaps`, `pandas`, `deap`, and `tqdm` packages. You can install these packages using `pip` by typing the following commands into your command line:\n", + "\n", + "> pip install googlemaps pandas deap tqdm\n", + "\n", + "### Construct a list of road trip waypoints\n", + "\n", + "The first step is to decide where you want to stop on your road trip.\n", + "\n", + "Make sure you look all of the locations up on [Google Maps](http://maps.google.com) first so you have the correct address, city, state, etc. If the text you use to look up the location doesn't work on Google Maps, then it won't work here either.\n", + "\n", + "Add all of your waypoints to the list below. Make sure they're formatted the same way as in the example below.\n", + "\n", + "*Technical note: Due to daily usage limitations of the Google Maps API, you can only have a maximum of 70 waypoints. You will have to pay Google for an increased API limit if you want to add more waypoints.*" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# https://en.wikipedia.org/wiki/List_of_state_capitols_in_the_United_States\n", + "\n", + "all_waypoints = ['Alabama State Capitol, 600 Dexter Avenue, Montgomery, AL 36130',\n", + " #'Alaska State Capitol, Juneau, AK',\n", + " 'Arizona State Capitol, 1700 W Washington St, Phoenix, AZ 85007',\n", + " 'Arkansas State Capitol, 500 Woodlane Street, Little Rock, AR 72201',\n", + " 'L St & 10th St, Sacramento, CA 95814',\n", + " '200 E Colfax Ave, Denver, CO 80203',\n", + " 'Connecticut State Capitol, 210 Capitol Ave, Hartford, CT 06106',\n", + " 'Legislative Hall: The State Capitol, Legislative Avenue, Dover, DE 19901',\n", + " '402 S Monroe St, Tallahassee, FL 32301',\n", + " 'Georgia State Capitol, Atlanta, GA 30334',\n", + " #'Hawaii State Capitol, 415 S Beretania St, Honolulu, HI 96813'\n", + " '700 W Jefferson St, Boise, ID 83720',\n", + " 'Illinois State Capitol, Springfield, IL 62756',\n", + " 'Indiana State Capitol, Indianapolis, IN 46204',\n", + " 'Iowa State Capitol, 1007 E Grand Ave, Des Moines, IA 50319',\n", + " '300 SW 10th Ave, Topeka, KS 66612',\n", + " 'Kentucky State Capitol Building, 700 Capitol Avenue, Frankfort, KY 40601',\n", + " 'Louisiana State Capitol, Baton Rouge, LA 70802',\n", + " 'Maine State House, Augusta, ME 04330',\n", + " 'Maryland State House, 100 State Cir, Annapolis, MD 21401',\n", + " 'Massachusetts State House, Boston, MA 02108',\n", + " 'Michigan State Capitol, Lansing, MI 48933',\n", + " 'Minnesota State Capitol, St Paul, MN 55155',\n", + " '400-498 N West St, Jackson, MS 39201',\n", + " 'Missouri State Capitol, Jefferson City, MO 65101',\n", + " 'Montana State Capitol, 1301 E 6th Ave, Helena, MT 59601',\n", + " 'Nebraska State Capitol, 1445 K Street, Lincoln, NE 68509',\n", + " 'Nevada State Capitol, Carson City, NV 89701',\n", + " 'State House, 107 North Main Street, Concord, NH 03303',\n", + " 'New Jersey State House, Trenton, NJ 08608',\n", + " 'New Mexico State Capitol, Santa Fe, NM 87501',\n", + " 'New York State Capitol, State St. and Washington Ave, Albany, NY 12224',\n", + " 'North Carolina State Capitol, Raleigh, NC 27601',\n", + " 'North Dakota State Capitol, Bismarck, ND 58501',\n", + " 'Ohio State Capitol, 1 Capitol Square, Columbus, OH 43215',\n", + " 'Oklahoma State Capitol, Oklahoma City, OK 73105',\n", + " 'Oregon State Capitol, 900 Court St NE, Salem, OR 97301',\n", + " 'Pennsylvania State Capitol Building, North 3rd Street, Harrisburg, PA 17120',\n", + " 'Rhode Island State House, 82 Smith Street, Providence, RI 02903',\n", + " 'South Carolina State House, 1100 Gervais Street, Columbia, SC 29201',\n", + " '500 E Capitol Ave, Pierre, SD 57501',\n", + " 'Tennessee State Capitol, 600 Charlotte Avenue, Nashville, TN 37243',\n", + " 'Texas Capitol, 1100 Congress Avenue, Austin, TX 78701',\n", + " 'Utah State Capitol, Salt Lake City, UT 84103',\n", + " 'Vermont State House, 115 State Street, Montpelier, VT 05633',\n", + " 'Virginia State Capitol, Richmond, VA 23219',\n", + " 'Washington State Capitol Bldg, 416 Sid Snyder Ave SW, Olympia, WA 98504',\n", + " 'West Virginia State Capitol, Charleston, WV 25317',\n", + " '2 E Main St, Madison, WI 53703',\n", + " 'Wyoming State Capitol, Cheyenne, WY 82001']\n", + "\n", + "len(all_waypoints)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Next you'll have to register this script with the Google Maps API so they know who's hitting their servers with hundreds of Google Maps routing requests.\n", + "\n", + "1) Enable the Google Maps Distance Matrix API on your Google account. Google explains how to do that [here](https://github.com/googlemaps/google-maps-services-python#api-keys).\n", + "\n", + "2) Copy and paste the API key they had you create into the code below." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "import googlemaps\n", + "\n", + "gmaps = googlemaps.Client(key='ENTER YOUR GOOGLE MAPS KEY HERE')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Now we're going to query the Google Maps API for the shortest route between all of the waypoints.\n", + "\n", + "This is equivalent to doing Google Maps directions lookups on the Google Maps site, except now we're performing hundreds of lookups automatically using code.\n", + "\n", + "If you get an error on this part, that most likely means one of the waypoints you entered couldn't be found on Google Maps. Another possible reason for an error here is if it's not possible to drive between the points, e.g., finding the driving directions between Hawaii and Florida will return an error until we invent flying cars.\n", + "\n", + "### Gather the distance traveled on the shortest route between all waypoints" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "from itertools import combinations\n", + "\n", + "waypoint_distances = {}\n", + "waypoint_durations = {}\n", + "\n", + "for (waypoint1, waypoint2) in combinations(all_waypoints, 2):\n", + " try:\n", + " route = gmaps.distance_matrix(origins=[waypoint1],\n", + " destinations=[waypoint2],\n", + " mode='driving', # Change this to 'walking' for walking directions,\n", + " # 'bicycling' for biking directions, etc.\n", + " language='English',\n", + " units='metric')\n", + "\n", + " # 'distance' is in meters\n", + " distance = route['rows'][0]['elements'][0]['distance']['value']\n", + "\n", + " # 'duration' is in seconds\n", + " duration = route['rows'][0]['elements'][0]['duration']['value']\n", + "\n", + " waypoint_distances[frozenset([waypoint1, waypoint2])] = distance\n", + " waypoint_durations[frozenset([waypoint1, waypoint2])] = duration\n", + " \n", + " except Exception as e:\n", + " print('Error with finding the route between {} and {}.'.format(waypoint1, waypoint2))" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Now that we have the routes between all of our waypoints, let's save them to a text file so we don't have to bother Google about them again." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "with open('my-waypoints-dist-dur.tsv', 'w') as out_file:\n", + " out_file.write('\\t'.join(['waypoint1',\n", + " 'waypoint2',\n", + " 'distance_m',\n", + " 'duration_s']))\n", + " \n", + " for (waypoint1, waypoint2) in waypoint_distances.keys():\n", + " out_file.write('\\n' +\n", + " '\\t'.join([waypoint1,\n", + " waypoint2,\n", + " str(waypoint_distances[frozenset([waypoint1, waypoint2])]),\n", + " str(waypoint_durations[frozenset([waypoint1, waypoint2])])]))" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Use a genetic algorithm to optimize the order to visit the waypoints in\n", + "\n", + "Instead of exhaustively looking at every possible solution, genetic algorithms start with a handful of random solutions and continually tinkers with these solutions — always trying something slightly different from the current solutions and keeping the best ones — until they can’t find a better solution any more.\n", + "\n", + "Below, all you need to do is make sure that the file name above matches the file name below (both currently `my-waypoints-dist-dur.tsv`) and run the code. The code will read in your route information and use a genetic algorithm to discover an optimized driving route." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "import pandas as pd\n", + "import numpy as np\n", + "\n", + "waypoint_distances = {}\n", + "waypoint_durations = {}\n", + "all_waypoints = set()\n", + "\n", + "waypoint_data = pd.read_csv('my-waypoints-dist-dur.tsv', sep='\\t')\n", + "\n", + "for i, row in waypoint_data.iterrows():\n", + " # Distance = meters\n", + " waypoint_distances[frozenset([row.waypoint1, row.waypoint2])] = row.distance_m\n", + " \n", + " # Duration = hours\n", + " waypoint_durations[frozenset([row.waypoint1, row.waypoint2])] = row.duration_s / (60. * 60.)\n", + " all_waypoints.update([row.waypoint1, row.waypoint2])" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "scrolled": true + }, + "outputs": [], + "source": [ + "import random\n", + "import numpy as np\n", + "import copy\n", + "from tqdm import tqdm\n", + "\n", + "from deap import algorithms\n", + "from deap import base\n", + "from deap import creator\n", + "from deap import tools\n", + "\n", + "creator.create('FitnessMulti', base.Fitness, weights=(1.0, -1.0))\n", + "creator.create('Individual', list, fitness=creator.FitnessMulti)\n", + "\n", + "toolbox = base.Toolbox()\n", + "toolbox.register('waypoints', random.sample, all_waypoints, random.randint(2, 20))\n", + "toolbox.register('individual', tools.initIterate, creator.Individual, toolbox.waypoints)\n", + "toolbox.register('population', tools.initRepeat, list, toolbox.individual)\n", + "\n", + "def eval_capitol_trip(individual):\n", + " \"\"\"\n", + " This function returns the total distance traveled on the current road trip\n", + " as well as the number of waypoints visited in the trip.\n", + " \n", + " The genetic algorithm will favor road trips that have shorter\n", + " total distances traveled and more waypoints visited.\n", + " \"\"\"\n", + " trip_length = 0.\n", + " individual = list(individual)\n", + " \n", + " # Adding the starting point to the end of the trip forces it to be a round-trip\n", + " individual += [individual[0]]\n", + " \n", + " for index in range(1, len(individual)):\n", + " waypoint1 = individual[index - 1]\n", + " waypoint2 = individual[index]\n", + " trip_length += waypoint_distances[frozenset([waypoint1, waypoint2])]\n", + " \n", + " return len(set(individual)), trip_length\n", + "\n", + "def pareto_selection_operator(individuals, k):\n", + " \"\"\"\n", + " This function chooses what road trips get copied into the next generation.\n", + " \n", + " The genetic algorithm will favor road trips that have shorter\n", + " total distances traveled and more waypoints visited.\n", + " \"\"\"\n", + " return tools.selNSGA2(individuals, int(k / 5.)) * 5\n", + "\n", + "def mutation_operator(individual):\n", + " \"\"\"\n", + " This function applies a random change to one road trip:\n", + " \n", + " - Insert: Adds one new waypoint to the road trip\n", + " - Delete: Removes one waypoint from the road trip\n", + " - Point: Replaces one waypoint with another different one\n", + " - Swap: Swaps the places of two waypoints in the road trip\n", + " \"\"\"\n", + " possible_mutations = ['swap']\n", + " \n", + " if len(individual) < len(all_waypoints):\n", + " possible_mutations.append('insert')\n", + " possible_mutations.append('point')\n", + " if len(individual) > 2:\n", + " possible_mutations.append('delete')\n", + " \n", + " mutation_type = random.sample(possible_mutations, 1)[0]\n", + " \n", + " # Insert mutation\n", + " if mutation_type == 'insert':\n", + " waypoint_to_add = individual[0]\n", + " while waypoint_to_add in individual:\n", + " waypoint_to_add = random.sample(all_waypoints, 1)[0]\n", + " \n", + " index_to_insert = random.randint(0, len(individual) - 1)\n", + " individual.insert(index_to_insert, waypoint_to_add)\n", + " \n", + " # Delete mutation\n", + " elif mutation_type == 'delete':\n", + " index_to_delete = random.randint(0, len(individual) - 1)\n", + " del individual[index_to_delete]\n", + " \n", + " # Point mutation\n", + " elif mutation_type == 'point':\n", + " waypoint_to_add = individual[0]\n", + " while waypoint_to_add in individual:\n", + " waypoint_to_add = random.sample(all_waypoints, 1)[0]\n", + " \n", + " index_to_replace = random.randint(0, len(individual) - 1)\n", + " individual[index_to_replace] = waypoint_to_add\n", + " \n", + " # Swap mutation\n", + " elif mutation_type == 'swap':\n", + " index1 = random.randint(0, len(individual) - 1)\n", + " index2 = index1\n", + " while index2 == index1:\n", + " index2 = random.randint(0, len(individual) - 1)\n", + " \n", + " individual[index1], individual[index2] = individual[index2], individual[index1]\n", + " \n", + " return individual,\n", + "\n", + "\n", + "toolbox.register('evaluate', eval_capitol_trip)\n", + "toolbox.register('mutate', mutation_operator)\n", + "toolbox.register('select', pareto_selection_operator)\n", + "\n", + "def pareto_eq(ind1, ind2):\n", + " return np.all(ind1.fitness.values == ind2.fitness.values)\n", + "\n", + "pop = toolbox.population(n=1000)\n", + "hof = tools.ParetoFront(similar=pareto_eq)\n", + "stats = tools.Statistics(lambda ind: (int(ind.fitness.values[0]), round(ind.fitness.values[1], 2)))\n", + "stats.register('Minimum', np.min, axis=0)\n", + "stats.register('Maximum', np.max, axis=0)\n", + "# This stores a copy of the Pareto front for every generation of the genetic algorithm\n", + "stats.register('ParetoFront', lambda x: copy.deepcopy(hof))\n", + "# This is a hack to make the tqdm progress bar work\n", + "stats.register('Progress', lambda x: pbar.update())\n", + "\n", + "# How many iterations of the genetic algorithm to run\n", + "# The more iterations you allow it to run, the better the solutions it will find\n", + "total_gens = 5000\n", + "\n", + "pbar = tqdm(total=total_gens)\n", + "pop, log = algorithms.eaSimple(pop, toolbox, cxpb=0., mutpb=1.0, ngen=total_gens, \n", + " stats=stats, halloffame=hof, verbose=False)\n", + "pbar.close()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Animated road trip map\n", + "\n", + "Now that we've optimized the road trip, let's visualize it!\n", + "\n", + "The function below will take the results of the genetic algorithm and generate an animated map showing the Pareto optimized road trips." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "def create_animated_road_trip_map(optimized_routes):\n", + " \"\"\"\n", + " This function takes a list of optimized road trips and generates\n", + " an animated map of them using the Google Maps API.\n", + " \"\"\"\n", + " \n", + " # This line makes the road trips round trips\n", + " optimized_routes = [list(route) + [route[0]] for route in optimized_routes]\n", + "\n", + " Page_1 = \"\"\"\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " An optimized road trip across the U.S. according to machine learning\n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
\n", + " \n", + " \n", + " \"\"\"\n", + "\n", + " with open('us-state-capitols-animated-map.html', 'w') as output_file:\n", + " output_file.write(Page_1)\n", + " for route in optimized_routes:\n", + " output_file.write('allRoutes.push({});'.format(str(route)))\n", + " output_file.write(Page_2)\n", + "\n", + "create_animated_road_trip_map(reversed(hof))" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "!open us-state-capitols-animated-map.html" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Individual road trip maps\n", + "\n", + "We can also visualize single trips at a time instead of" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "def create_individual_road_trip_maps(optimized_routes):\n", + " \"\"\"\n", + " This function takes a list of optimized road trips and generates\n", + " individual maps of them using the Google Maps API.\n", + " \"\"\"\n", + " \n", + " # This line makes the road trips round trips\n", + " optimized_routes = [list(route) + [route[0]] for route in optimized_routes]\n", + "\n", + " for route_num, route in enumerate(optimized_routes):\n", + " Page_1 = \"\"\"\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "\n", + " An optimized road trip across the U.S. according to machine learning\n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
\n", + " \n", + " \n", + " \"\"\"\n", + "\n", + " with open('optimized-us-capitol-trip-{}-states.html'.format(route_num + 2), 'w') as output_file:\n", + " output_file.write(Page_1)\n", + " output_file.write('optimized_route = {};'.format(str(route)))\n", + " output_file.write(Page_2)\n", + "\n", + "create_individual_road_trip_maps(reversed(hof))" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "!open optimized-us-capitol-trip-48-states.html" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Some technical notes\n", + "\n", + "As I mentioned in the [original article](http://www.randalolson.com/2015/03/08/computing-the-optimal-road-trip-across-the-u-s/), by the end of 5,000 generations, the genetic algorithm will very likely find a *good* but probably not the *absolute best* solution to the optimal routing problem. It is in the nature of genetic algorithms that we never know if we found the absolute best solution.\n", + "\n", + "However, there exist some brilliant analytical solutions to the optimal routing problem such as the [Concorde TSP solver](http://en.wikipedia.org/wiki/Concorde_TSP_Solver). If you're interested in learning more about Concorde and how it's possible to find a perfect solution to the routing problem, I advise you check out [Nathan Brixius' article](https://nathanbrixius.wordpress.com/2016/06/16/finding-optimal-state-capitol-tours-on-the-cloud-with-neos/) on the topic.\n", + "\n", + "### If you have any questions\n", + "\n", + "Please feel free to:\n", + "\n", + "* [Email me](http://www.randalolson.com/contact/),\n", + "\n", + "* [Tweet](https://twitter.com/randal_olson) at me, or\n", + "\n", + "* comment on the [blog post](http://www.randalolson.com/2016/06/05/computing-optimal-road-trips-on-a-limited-budget/)\n", + "\n", + "I'm usually pretty good about getting back to people within a day or two." + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.6.5" + } + }, + "nbformat": 4, + "nbformat_minor": 1 +} diff --git "a/pct-bachelors-degrees-conferred-women-usa/Percentage of Bachelor\342\200\231s degrees conferred to women in the US, by major.ipynb" "b/pct-bachelors-degrees-conferred-women-usa/Percentage of Bachelor\342\200\231s degrees conferred to women in the US, by major.ipynb" new file mode 100644 index 0000000..2c7e6b4 --- /dev/null +++ "b/pct-bachelors-degrees-conferred-women-usa/Percentage of Bachelor\342\200\231s degrees conferred to women in the US, by major.ipynb" @@ -0,0 +1,242 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Percentage of Bachelor’s degrees conferred to women in the U.S., by major\n", + "\n", + "This notebook provides the methodology and code used in the blog post, [Percentage of Bachelor’s degrees conferred to women in the U.S., by major (1970-2014)](http://www.randalolson.com/2014/06/14/percentage-of-bachelors-degrees-conferred-to-women-by-major-1970-2012/).\n", + "\n", + "### Notebook by [Randal S. Olson](http://www.randalolson.com)\n", + "\n", + "Please see the [repository README file](https://github.com/rhiever/Data-Analysis-and-Machine-Learning-Projects#license) for the licenses and usage terms for the instructional material and code in this notebook. In general, I have licensed this material so that it is as widely useable and shareable as possible.\n", + "\n", + "### Required Python libraries\n", + "\n", + "If you don't have Python on your computer, you can use the [Anaconda Python distribution](http://continuum.io/downloads) to install most of the Python packages you need. Anaconda provides a simple double-click installer for your convenience.\n", + "\n", + "This code uses base Python libraries except for the `BeautifulSoup`, `pandas`, and `matplotlib` packages. You can install these packages using `pip` by typing the following command into your command line:\n", + "\n", + "> pip install beautifulsoup4 pandas matplotlib \n", + "\n", + "If you're on a Mac, Linux, or Unix machine, you may need to type `sudo` before the command to install the package with administrator privileges.\n", + "\n", + "### Scraping the NCES database\n", + "\n", + "To acquire the data used in the blog post, we need to scrape the [NCES database](http://nces.ed.gov/programs/digest/current_tables.asp). The NCES database is available for download as Excel files, but we didn't want to deal with a bunch of Excel files. Instead, let's scrape the NCES database web pages directly using [BeautifulSoup](https://www.crummy.com/software/BeautifulSoup/).\n", + "\n", + "Running the code below will create a file called `gender_degree_data.tsv` that contains all data about the gender breakdowns of various degree majors in the US." + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": { + "collapsed": false, + "scrolled": true + }, + "outputs": [], + "source": [ + "from bs4 import BeautifulSoup\n", + "import requests\n", + "\n", + "with open('gender_degree_data.tsv', 'w') as out_file:\n", + "\n", + " out_file.write('\\t'.join(['Year', 'Degree_Major',\n", + " 'Total_Bachelors',\n", + " 'Percent_change_Bachelors',\n", + " 'Male_Bachelors', 'Female_Bachelors', 'Female_percent_Bachelors',\n", + " 'Total_Masters', 'Male_Masters', 'Female_Masters',\n", + " 'Total_Doctorates', 'Male_Doctorates', 'Female_Doctorates']) + '\\n')\n", + "\n", + " table_list_response = requests.get('http://nces.ed.gov/programs/digest/current_tables.asp')\n", + " table_list_response = BeautifulSoup(table_list_response.text, 'lxml')\n", + "\n", + " for link in table_list_response.find_all('a', href=True):\n", + " # We only want the tables that stratify the data by degree and gender, which are in table group 325\n", + " if 'dt15_325' in link['href'] and int(link.text.split('.')[1]) % 5 == 0:\n", + " url = 'http://nces.ed.gov/programs/digest/%7B%7D'.format(link['href'])\n", + " url_response = requests.get(url)\n", + " url_response = BeautifulSoup(url_response.text, 'lxml')\n", + " degree_major = url_response.find('title').text.split('Degrees in')[1].split('conferred')[0].strip()\n", + "\n", + " all_trs = url_response.find_all('tr')\n", + " for tr in all_trs:\n", + " # We only want to parse entries that correspond to a certain year\n", + " year_header = tr.find('th')\n", + " if year_header is None:\n", + " continue\n", + "\n", + " # Stop parsing after all of the years are listed\n", + " if 'Percent change' in year_header.text:\n", + " break\n", + "\n", + " # Years always have a dash (-) in them\n", + " if '-' not in year_header.text:\n", + " continue\n", + "\n", + " year = str(int(year_header.text.split('-')[0]) + 1)\n", + " year_vals = [x.text.replace(',', '').replace('†', '0').replace('#', '0') for x in tr.find_all('td')]\n", + "\n", + " out_text = '\\t'.join([year, degree_major] + year_vals) + '\\n'\n", + " out_file.write(out_text)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Visualizing the gender breakdowns for the various degree programs\n", + "\n", + "Next, let's use [matplotlib](http://matplotlib.org) to visualize the trends in the gender breakdowns." + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/Users/randal_olson/anaconda/lib/python3.5/site-packages/matplotlib/__init__.py:872: UserWarning: axes.color_cycle is deprecated and replaced with axes.prop_cycle; please use the latter.\n", + " warnings.warn(self.msg_depr % (key, alt_key))\n", + "/Users/randal_olson/anaconda/lib/python3.5/site-packages/matplotlib/__init__.py:872: UserWarning: axes.color_cycle is deprecated and replaced with axes.prop_cycle; please use the latter.\n", + " warnings.warn(self.msg_depr % (key, alt_key))\n" + ] + }, + { + "data": { + "text/plain": [ + "''" + ] + }, + "execution_count": 2, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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cY8aMEYKT+fPnCw8+6urq8M0332DatGkICAhAYGCg8Pfss88iLS1NaNr36aef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\niWTW6KoWxeY1z8fchIahNcGS84VjUMUlI1KlJkM4olDd4qa5x0cokvq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p7fMTVcDli7Cv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gDLdjXh8QVRCDB7tJVIozxR7C2bazbz4MoHaXBJtru5Ubm8ePaLRxUU3oCX3Q272Vq3la21W9le\ntx2bzxbWR6/Sc2XOldww8ob+SUD3OqSVksoN4GoOfy9yOKRMlZzjuunMFQgGWLxnMa9tew2/6O/2\nMHRKXWcR05XtcYf3IzQRmDVmEowJJ82gQKb7OH1OilqKKGwpDLPqbvG0dOo7JmYMV+dezfnp56NT\n6U7BaGVkZGROX2SBIjNgCIoiq/c209ju2DUhw0z6AK8SPxiod9bz4MoH2VK7BQCT2sTTM59mTtoc\nbF4b2+u2s61uG1tqt7C7YfdR65VE66K5Kvcqfjnil0TqIvt+oG0VUuX32l1SFfhDKDWQOEESJqaE\nXu9+T8Me/rzhzxS2FOLyu/pgwEcnw5LBQ2c8xPSk6f16nNOJVk8ra6vWhkwguoMoitQ4akKrI+W2\nckR69pVn0Vq4POtyrsy9stfFVGVkBiK3fHsL2ZHZPHzmw6d6KDIynZAFisyAYXeZjcIqKb8gLVbH\npMz+c5863fAH/SzYuoDFexaH2jIsGZS0lYS5b3UkxZTCxPiJTIybyMT4iaSb0/vekUsUofkglPwI\nTUXh7xnjJFGSOEFKgu9DfEEfDq8Dm8+G3WvH7rNj89qweW2h54fa27xtYX3sPjt2r/24NWkA5g6b\nywOTHyDJlNSn4z+d6E5tnd6gVWrJjMwMOeMdqsvjD/r5pPATPi74OLTyCJK194zkGfxixC+YkTQD\npULZZ2PpiMPnoNpeTZWjihpHDVX2KmxeG7NTZ3NW8llDymJdBh5d/SifF32OIAgcmo4JgsCHF33Y\nfzl97bR521AJqn43D1m4fSHflX7Hfy75T78eR2ZoIQsUmQFBdZOb9QWtAJgNKmaPsspJ8f3A0tKl\nPLrm0VDl9UMICORE5YQEyYS4Cf1bP0QMQv1+SZh0dOMSFBA7ClKnSuFcA3gy5gv4QgLH5rOFRM2B\nlgMs3r04NJnWKXXcOuZWbh59M1ql9hSPevBwtNo6vSHFlBKqxXPoZ1pE2jFFhi/gY2n5Uj7Y/0Fo\n9fEQyaZkrsy5ksuyL8Oqs3ZrDP6gP/S30uRuotpeTbWj/dH+vMpRFTJ16IqJcRO5b9J9/eeSJ3PS\neXT1o9S76nn2rGfpOB2L0kX1OkzUH/SjGkDFaRduX8j3Zd/z6cWfnuqhyAwiui1Qhg8fTmlpaaf2\nCy+8kC+++AKAJ554gkWLFtHc3MyZZ57Ja6+9xsiRh+1N77//ft577z1MJhPPPvssv/zlL0PvffHF\nFzz//POsXLnyRM9JZpDhcPv5cVcTvoCISilwzmgrJv3A+XAdapS2lfLM+mfwBDxMjJfEyPi48Zg1\n5v4/eDAg2QSXrABH7eF2hRqSp8Cws6A/wsdOMnXOOl7c8iJLDi4JtaWYUnjojIc4O/XsUzewQcDR\nautMjp/MLaNvISMyo0f7i9RGYlQbT2hMhc2F/Dv/33xR9EXYKo5aoeaC9AtIt6Rj97avtrWvsIVW\n59qf9zasUCWoUAiKsNDLs1PP5rcTfktWVNYJnZfMqefR1Y/S6mnllTmvdPm+L+DjxS0v8nXx19h9\ndnKtuTww+QEmxE0AYFPNJm799lZem/MaC3csJL8pn5fOeYlZKbNYXr6chTsWUtRSRKw+lp8M/wl3\njL8jZAByZIhXo6uRJ9Y+wfrq9UTro7lr/F28s/sd5qXP445xdwAw9r2xPDbtMdZVrWNV5SqiddHc\nNeEuLsq46KjneDyB8uXBL/nn3n9S3FaMVqllcvxkHjrjIeIMcWHnuGjeIhZsXUBhSyEZlgwen/Y4\nedF5of38p/A/LNyxkBZPC9OTpjMtcRrPbHiGnTfuDI3jyJWczw58xp83/JkN124ApBsjz296nl0N\nu3D4HKSb07l7wt3MSpkV2qY718nutfO3zX/jx/If8QQ8jIweye8m/45R0aNC7z+z4RnWVq3F4XMQ\nZ4jj2rxruTbv2qNex9ONbs8CN2/eTCAQCL2uqqpi0qRJXH311QA899xzvPTSS7z33nvk5OTw5JNP\nMnfuXAoKCjAajXzxxRd88MEH/PDDD+Tn53PLLbdwwQUXYLVasdvt3H///Xz55Zd9f4YyA5pAUGRj\nYSu+gKSTJ2aYZXHSzwwzD+Pv8/5+cg8a8EH1FihZCe4Oie8qHaROg9TpnWyCBzNxhjj+ctZfuCL7\nCp7d+CwFzQVU2Cv4zbLfcFbyWTx0xkMMMw871cMcUOyo38FbO99iecXysPZ+r63TDbKjsnl06qPc\nN+k+viz6kg/yP+BAywF8QR9fHPzihPZtUptINCWSaDzi0d4Wq4/F5rXx9u63eX/f+3iDXpaXL2dF\n+Qp+lvkz7hp/lxxCOIR5YcsLfF/yPU/PfJpkUzLv7XmP27+/nSWXLyFGHxPqN3/rfB6Y/ABp5jSM\nKiNrKtfw8KqHefjMh5kUP4kqexV/Wv8n/EE/90++v8tj/XH1H2l0N/LO+e+gUWp4fvPz1DhqOvV7\nc+eb3DfxPu6ddC+fFn7KY2seY3L8ZBKMvcsR9Af93DXhLoZbhtPibuGlLS/x0MqHWHzB4rB+C7Yu\n4L5J9xGjj+EvG//Cw6se5r+X/heA7XXbeWLdE9w38T7OTTuXzbWbeXnry51CIrsKkezY5vQ5OSvl\nLH478bdolBq+LfmW+368j08u/oR0S3q3r9OdS+/EorHw+nmvY9aY+bzoc2779jY+v+xzYvQxLNi2\ngKKWIl4/73WiddFU2Cpo9hxhCnOa0+2ZYHR0dNjrRYsWYbFYuPLKKwF4+eWXefjhh7n00ksBeO+9\n94iLi+P999/ntttuY//+/Zx99tlMmDCBCRMmcO+991JcXIzVauWRRx7hhhtuIDe3f+MtZQYeO0ts\ntDikhOjMBAPJ0bJbzpDC74aKDVC2Grwdwso0JkibCSln9nl+yUBicsJk/n3Rv/kw/0Ne3f4qNq+N\nVZWrWP/Zem4adRO/GvOr07p45KHaOm/teotNNZtC7Seltk4vMKqNXD3iaq7KvYottVv4d/6/+aH0\nB/yiH61SG3J5C/3UmMIc38waMya1iUhtJAnGBJJMSURoIo573EhdJL+b/DuuzbuWhTsW8t8D/yUo\nBvm86HO+Lv6aa0Zcw21jbiNKF3USroL0eytqKeoUKno8Yg2xJJuS+2lUg5fVlas5859nhl5Pip/E\n6+e9jsvv4sP8D3lqxlPMTJ4JwGPTHmNjzUY+2P8Bd0+4O7TNnePvZFrStNDrRbsWcfPom7k482JA\nCku8d+K9PLzq4S4FSnFrMWur1vL+he8zOmY0AE/PeJoLPrmgU9+fZfyMn2b8FIC7x9/NP/f9ky21\nW7gw48Jenf+lWZeGniebknlk6iNc+t9LqXPWhVZRAO6ecDeTEyYDcPu427nxmxtDfd7f/z7Tk6Zz\n0+ibAEgzp7GrYRefFvYsrCzXmhv2mfOrMb/ix/If+b70e24be1u3rtOG6g0UNBew8uqVaJQaAO4a\nfxfLy5fzZdGX3DT6Jqod1eRF54VWVHor7oYyvb5V/c4773D99dej1WopLi6mpqaGuXPnht7X6XTM\nmjWLtWvXcttttzFu3DgWLVpES0sLRUVFuN1usrKyWL9+PcuXL2fr1q19ckIyg4eyehcldVLYg9Wk\nZnTa0LmDftrj90DpSsmVy98hmVwXBemzpOKKytPDPlqlUPHLvF9yfvr5LNi2gE8LP8UX9LFo1yI+\nL/qcB6c8yLxh84Zc8rMoirgD7k45OodCn9q8bXxX8l2n2jqXZF3CzaNu7p/aOn2EIAhMTpjM5ITJ\neANS6NWhiUh/kmBM4MnpT3LjyBtZsG0BS8uW4gv6+L+9/8d/Cv/DTaNu4vqR1/eb6C1uLWbJwSV8\nVfwV5bbyXu1j3rB5/GbCb0J3o2VgUsIknpj2RMhhTqeUbtqU28oJiAHGxx5ePVQICsbFjuNg68FQ\nmyAIoYnuIfY27mVPwx7e3vV2qE1ExBvw0uBqCFt9AShpLUEpKBkZfTgsP8GYQKwhttN4c6JyQs+V\nCiVR2iia3E29OfXQWN/Y8Qb5Tfm0elsRRRFBEKh2VIcEiiAIZEdlh7aJNcQiiiJN7ibiDHGUtJZ0\nCp8dGzO2xwLF5XexcPtCVlaspN5Vjz/oxxv0khsliZbuXKd9jftw+V2c9cFZYfv2Br2h/5urc6/m\n/uX3s6dhD9OSpjE7ZXZIfMlI9EqgfPfdd5SUlHDbbbcBUFNTgyAIxMeHJ9XGx8dTVVUFwLx587ju\nuuuYMmUKBoOBf/zjHxiNRn7961/zxhtv8Pbbb/Pyyy9jNBpZsGAB06ZN63RcmaFDm9PP9uI2ADQq\ngTNyLCgUQ2uCdtrSWAD7/gPuDrUljPGQPhvix0I/uR8NdKL10Tw5/UmuyL6CP2/4M7sbd1PrrOWB\nFQ9wRsIZ/G7y78K+9AY6noCHopaiUD2RAy0HaHY3hzmddbfujF6l56qcq7hh1A1hd0wHAydDmBxJ\nRmQG88+Zz876nczfOp9NNZuw++y8uv1V/rX/X/x63K+5IvsK1H1wE6DB1cDXxV/z5cEv2du494T3\n913pdywtW8pl2Zdxx7g7Bt3vuz/QK/WkRKSc2D6OKMAriiK3j7udeenzOvXtrrHD0TgyAV8QhKO6\nQR4Pl9/FHT/cwbSkaTx71rNYdVaaPc3c+PWN+ALh5hgdi+cKSPOFnhy3o1PaIfzB8M+ov236G2ur\n1vLAlAdIi0hDp9LxyKpHemTUESRIjC6G937yXidbc5NauhE7M3km31/xPasqV7GhegN3Lb2L89PP\n56kZT3X7OEOdXgmURYsWMWXKFEaPHt2j7R577DEee+yx0OtnnnmGGTNmYDabefzxx9m5cyc7duzg\nqquuori4GJWq8/AaGxtpaGjo1B4TE9MpDE3uPzD7+wJB8uuUKNorgE/JtqDXKAfN+OX+R+nvc0nJ\n7/V7iLEYiDbrwZwM6edC7AgQFAN7/CepvwYNC6YuYFXzKuZvmU+zp5mNNRu5+surmR01m8uTL+8U\nBnMqx19fX0+ts5aS1hJK2koobSulSqyimupOkwO/3U/AFui0H2WEEpWp8+e5yWvi/NjzuTDjQsxa\nM83lzTTTPKB+XwO5/9jYsbw9723WVK1h/pb57CnfQ1V1FY8XP85fVX9lmGUYw8zDGDtsLJMyJpEV\nmYWpQ67X0favM+vY7tjOkoNL2FCzIfR7PvT7zYrM4uzUs0N1YSxWC5aozrbwrc2ttDZJ7owBMcDK\nipWsKF+BIkLBxwUf82XRl1ybdy03j74Zi9Zyyq9nf/Xvbfh6akQqKkHFtrptIQETFIPsqN9xzKR0\ngLzoPIpbi7tdu2e4ZThBguxt3BsKXapx1FDvrO/V2LtLcWsxLZ4W7plwTyiX6kDpgR6vKKdb0tnd\nsDusbWfDzrDXVp2100rPvqZ9Ya+31W/j4syLmZM2B5BuxJTbykMrft25TnnWPBrdjQiCQIrp6MLT\norVwUcZFXJRxETOSZ/CHlX/gf6f9b5gQO53psUCpr6/n888/Z+HChaG2hIQERFGktraWlJTDv4za\n2loSErqOqysoKGDx4sVs27aNd999l9mzZxMXF8fcuXPxeDzk5+czatSoTttFR0d3+cFwNOT+A6u/\nKIpsKmxFoZOKreWlGImzaI/av7/HI/fvo/51e2D/V6CzQWq0VFwx+yeQfIZkHTzQx38K+l8eczlz\n0ubw+vbX+TD/Q/yinxXNK1jTsobLsy/n9nG3dxle0RfjCbNI9too9BayrXRb2OpHvauewuZCClsK\ncfgcx9yvWqEmw5JBXHIcEZqIsLyLCPXhXIyw/Ay1CYPa0CMr1cH0+z1Z/QVBYGbyTKYnTeeb4m94\nZdsrVNgr8OOniCKK3EUsy18G+VL/ZFNyuOVygmS5LIoiqytXs6R4Ccs3Le9UEDPFlMKFYy/kwowL\nGW4Z3r0TOCLd5DquI78pn5e3vsyqylW4A27e3v02HxV8xK1jbuWXI355yq/nyex/PPQqPVflXsX8\nLfOJ1EaSHJHMP/b8gyZ3E1flXhXq15UZ6+1jb+fuZXeTaErk/GHno1QoOdBygI2zCgEAACAASURB\nVF0Nu7h/UucclHRLOtOSpvHUuqd4dOqjaJQaXtz8IjqVLrRacSJ4/B7ym/LD2nQqHYnGRDQKDe/v\ne59rRlzDwdaDvLb9tU7bH89w9tq8a7np65t4d/e7oST5ZWXLwvpMTphMq6eVRTsXccHwC9hUs4kf\nSn8I65NuTmdp2VLOTj0bpULJGzveCHPQ6851mpY0jfFx47ln2T3cN+k+hluGU++sZ23VWqYlTWNC\n3ARe2/4aedY8siKz8Af9/FD6A6kRqbI46UCPBcrixYvR6XRcc801obbhw4eTkJDA999/z6RJkwBw\nu92sWrWKF154ocv9/PrXv+aFF14gIiKCYDCIzyctn4miiM/nC3MMkxk6HKx1UdkkffHFWTTkJp+Y\n/afMKcZjg/wvoG7X4bboHMi7bEjYBfc3Fq2Fh898mOvyruPV7a/yVfFX+EU/HxZ8yBcHv+C6vOu4\nafRNvbaALmsrY0XFClZXrg4V/LP77D2qxn4kicZEcqJywmuKmNPkL9ZTjEJQ8NOMnzJ32Fy+Kv6K\nbXXbQgKzo8Vxpb2SSnsly8uXh9o0Cg1apRabL7wGi1Vn5fx0aYVrbMzYPsmTyrXm8vp5r7O5ZjMv\nbX2JnfU7afO28dKWl/jnvn9y57g7uSTrkpNSx0MURXxB3ykJ0+su90+6H0EQeGztY9i8NkZYR/DG\neW+E5ZB09XuZnjyd1+a8xps73+S9Pe+hElQMMw/jkqxLDm93hPB4ZsYzPLHuCW799lasOit3jr+T\nCntFWP2m3v4NVNgruOrLq8LaRlpH8q+L/sWfZv6JV7a+wr/z/01OVA4PTnmQO364I6zv8dy3xsWO\n4/Hpj/P69td5fcfrnJlwJreMviVM7GRYMnh06qO8test3tr1FrNTZ3Pb2Nt4Zdthi+cHJz/I42sf\n56ZvbsKsNXNd3nWdQs26c51en/M6r2x7hSfXPUmTq4lofTTj48aHTAs0Cg2vbHuFSnslWqWWsbFj\nWXDugl5c2aFLjws15ubmcs455/DGG2+Etf/1r3/l2Wef5Z133iE7O5unn36a1atXk5+fj9EYPgl9\n6623+Prrr/nkk08A2LJlC3PmzGHJkiVs376dp556irKyMrRauajZUKLJ5mXl3mZEEfQaBeeMiUar\n7l0hKplTjChCzXYo+EIK7QJQ6SHnIqny+xBL+D5Z7G/az/yt81lTuSbUZtFa+NXoX3HNiGvQHcfx\nzBf0sa12GysqVrCyYiUlbSW9HkuEJoJMS2aYGMmKyjo59XJk+oygGKTSVklBcwEFLVK+UGFzIaVt\npZ3i40G6a39O6jlcmHEh05Km9avwFEWRH8t/ZMHWBRS1FoXa083p3DPxHs5LO6/PzSM8AQ8bqzeG\n/kfqnfVcM+IafjPhN6e1o15XtLhbOPejc3l+1vPMGTbnVA+nxzy38Tk21mzkk4s/6dfjDPbrNFDp\nkUBZvnw5c+bMYePGjaGVko489dRTvPnmm0ct1AhQV1fH1KlTWbt2bVj413PPPccLL7yA2Wxm4cKF\nYY5gMoMfjy/Ij7sacXmDCALMGhmFNWLg3rWSOQbuFtj3X2jssFwfNxpyLwbt8S1TZY7PpppNzN8y\nPyyGOt4Qz53j7+TizIvD7i43u5tZXbmaFRUrWFu5ttNdcIAkYxKjY0YToYmQrG41pk6WuIdscU1q\n6XGsKusygx+X30VRSxGFzYUUNBfQ6mllevJ0zk0996RP1APBAJ8Xfc7rO14PqycxOno056efHxLI\nMfqYXgmWWkctqypXsaJiBRuqN3RZNDPFlMKT05/kjMQzTuhcBjMbqzfi8DnIjsqm0d3IK1tfoaSt\nhC8v+/K4N0cGAu/ufpdpSdMwqAysq17H85ue595J9/Z58cPBfp0GCz1eQZGR6Q07S9ooqpG+FMam\nR5CZIN+pGnSIQajcBIVfw6EQIY0Jci+B+J4ZZsgcH1EUWVa+jAVbF4RZimZYMvjVmF9R66xlRfkK\ndjbs7JSsrhAUjI8dz6yUWcxOmU1mZOaQszGWGXp4Ah4+2P8Bi3YtotXT2un9KG1UWGhhdlQ2mZGZ\nnRysgmKQPQ17QqskRyZCg+RENSV+Cg6fI+xGwBU5V3D/pPu7VZ/meGyv285bu97i1TmvnvC+TgZr\nK9fyty1/o9JWiU6lY1zsOB6c8mC3E+1PNQ+ueJDNtZuxe+0km5K5MvfKfqnMPtiv02BBFigy/Y7X\nH+SbrfUEghBr1jAjL1KeLJ1KxCA0HQi3AT7uNkDtDmg+PFEmcYIU0iWHRfQr/qCfL4q+4LXtr1Hr\nrD1qvwh1BDOTZzIrdRYzk2YSKecAyQxSbF4bi3cv5tPCT2l0Nx6zr4BAmjmNnKgcsiKzqHZUs6pi\nVZfbWXXWkGifljQNo9pIIBjgg/wPeHnry6GVlThDHI9Pe5xZKbN6PHZRFFlbtZa3dr3F5trNAOy6\ncddxtpKRkTkSWaDI9Dv5lXb2lksuQDNGRBIXKecWnRKCASlvpGQFnIh1pNYiJcHHDJwK36cDXd1d\nHm4ZzuyU2cxKmcX4uPFyovopRCro5sYrevEGPaGHp8PzQw+loCRem0yCLhmzSr5hcywaXA2hMLRD\nP4taisKclY5FnjUvJEpGxYw6qmtcua2cJ9c9yYbqDaG2CzMu5KEpDxGlizrucYJikKVlS1m0c1HY\nio1aoWbr9ae+ELXN38r7FX/n8sQbiNXGd3p9PN6v+DujIyYw1jLlJIxWRkYWKDL9TCAo8u22Bjy+\nIBaDinPGWOUv45NNwAuVm6FsVc9WTTohSLbB2ReAHGd7yrB5beys30lqROqArrY+VBBFEU/Qjc3f\nht3fhj3Q/tPfhs3fhiNgwx1wE6R3zpMGpZEEbQqJOukRpY7pkfXy6Yg/6KfMVhYmWgqbC6m0V6JT\n6piaOJVZqbOYlTyLeOPxJ9+HEEWRTws/5W+b/4bdZwekVZeHz3yY84ed3+V3ly/oY8nBJby96+0w\nU4qeFB/9seFrCuy7ERDCjAvitUlcmtg3IUo2fyv/qljEZYnXE6uNRxRF3EEnOoWhW9/JskCROdnI\nAkWmXympc7LtoJS0OznLTGqM/jhbyPQZfjeUr4ey1dCxjoXWDGkzIX4M9MTfXqWVhYnMkCMgBnD6\n7dg6CI9D4sMesGH3t+EXu19F+lhoBA0ahRZ30H3UfWoELfG6JBK1KSToUojTJqAUOlvuBsVg1ys1\novRTo9ASrY4lUh19Uix7BwJOnxO1Qo1aeWIribWOWp5e/zTLK5aH2s5NPZdHpz4aqk3k8rv4tPBT\n3t3zLjWOGjRKNVqVBqvByoXDf8qs1LNQq1R4gx5Gmyce83g/NnyN02/n3NgLoYNAUaBEq+ybz9ye\nrpgciSxQZE42p8enVg/wB0Qcbj8WoxwqcaKIokhhlROQbIWTrfLk9qTgsUH5GkmcdKx3obdC+mxI\nnAinyYRFRsYb9Bxe/Qitgtiw+Vux+204A/Yu7XaPhRIlJpUZkyoCk8qMTmFAo9BK9UQUuvbn0mvp\npw6NoAndqQ6KQRq9dVS7K6jxVFDtrsQdlD4rvaKHclcx5a7i0LGiNXEggDd4OHysu6JJQMCitmJV\nxxCticWqiSVaHYtJZR5yq9m9cR8TRRHfEWF5XsHLPWfewVnDz2RZxTKC+AkoHfxtz5/Ijc7BF/TS\n4m1GqVDys/Fno1Ud6UjpYnXLd6FXxxMoAEpBiV7Z9fjfLHmeWdHzqHCVUuY6iEFpYHLkTLJNh11S\naz1VrG78gWZfI1Z1DFOiZvJV7cf8LOEaknSdk7ePFCxBMci6ph856CzAE3ChVxrJMuVxZtThPBy/\n6Gdlw3cUOfahVmgZY57IOMvp63om07/Is5QOVDe52VFiQxRh7vhoVEp5mf1EqGnxYndLYQ+ZiQYU\niqH1ZTjgcDVD6Sqo2gRB/+F2UwKkny1ZAcvWsTJDHFEUafTWUejYS5EjH0egs+3y8dAp9IcFiNJM\nhMrc/lp66LsZFnM0FIKCWG0CsdoExjIZURRp9TdT464IiZY2v5RnFCBAnbe618cSEWnxNdLia+Sg\n87A1uEbQEKVpFy3qWKI1ccRo4of8asuhv49SVxFlzoPUe2uOLlAVMCEtL6zJhwsUEKk6ufWAtras\n48yo2ZwZNYt99p0sb/iGRF0qJlUEvqCXb2r/Q6o+nXNjLsQRsLOuadlxK8B3fH9X2xZKnAeYG/sz\nTCoLDr+NFn9TWP9dbVuYHDmD8ZYzKHMdZE3TUhJ0KcRrk/rlnGVOb4b2J1EP8fpFXF7JrrOgysnI\nVNMpHtHgprBKCitSKQXSY+XQrj4nGABnA9hrpJokNTskh65DWIbB8LMhOlcunCgz5GnztXDAsY9C\nxz5afEd3flKgwNguPA6tgIQESHubWnFyazQJgkCk2kqk2sqIiLEAOPx2qj0V1LgraPTWoRRUnVdm\nBG37io2mw3vS+66AkyZvA42+epq80sPeQax5RS+1nipqPVUdro2SOG0CCboUErXSxLOvQoxOJb6g\nj0p3KWXOIkpdB3EG7D3aXoECUNDmbsPpc+H1e1ErtGSYMxgWkY5OqUej0KIN+x20P4Tu/S2Vu4p5\np3R+hxaBUeYJoRWMbNMoskySWJoSOZPdbVupdpeTbRpJoWMvIDI75nyUgooooplgmcqyhiXHPGZH\nYWb3t2FRR5GgSwHApIognnDhkaJPZ5R5AgCj1RPZ3baVSleZLFBk+gVZoHQgLVZHca2TZoefwioH\nw2J1GHXyJeoNTTYfjTYpBGF4nB61Sl6N6jWiCF6bJETsNWBr/+moA7GLxNzobEg/ByLTZWEiM6Rx\nB1wUOfZzwLGPGk9lp/cTtSmk6jNCAiRCZUavNA6KJHSjykSWagRZxhG92l6vNGLVxJLF4RUAT8BN\nk6+BJm89jd56mnz1NHkb8ImSI1aQADWeSmo8lWxHcrOyqmNJ1KW0i5ZkjKqTV4w1KAYREHq1WmXz\nt1HmLKLMdZBKdxkB0d+pj1UdQ7J+GAalKVxcCOEiQyWoEASBNm8bnx34jPSodGYmz+zTELlEXQqz\nos8Pa9MoDjteWjWxoecKQYFOoccVkMICW3xNRKljwnKV4rSJPQpdzDWNZkntR3xQ8RYp+nTS9Bmk\n6oeHnWN0hzEAGJSm0BhkZPoaefbdAUEQGJMewco9zQRF2FVqZ2quXEugNxRWS6sngiCFd8l0EzEI\n9lpoqzgsSOw14DvOl4CggNiRUiiXOfmkDFVG5lTgC/oodRVRaN9LhauYIOFFKq3qGLJNI8k05hFx\nksNwBjpapY5EpeQWdghRFLH726jz1lDTHl7W6K0PTW6bfJKQ2WPbBkCEytKewJ9MrCaBKE10l0n8\nvcHubwuFuNW4K2nyNaBAcUQ+T9ci4lCfRm89pc4imnydrdSVKEnSpzFMn0maIYMIlaVH4zNrzFw/\n8vo+OdcjUQlqzOqjzzekVZzDSMKh7zyOYrTx/DLlfyh3lVDpLuXHhq+I1sRyUcLVxxgDfToGGZmO\nyALlCKIjNKTG6ChvcFPd7KGu1UOcRa7b0RPsbj9VTVJydmq0Dr1Gzns4KgGfJEZaSqGlGFrLJPet\nY6ExSXklHR/GODhB5xoZmYGKL+il0l1KsaOQYmcBviMSxE3KCLKMeWSZRna6yytzbARBIEJtIUJt\nIdMo1TbyBj3UuKvahUIFdZ5qAu02yjZ/KzZ/KwWOPdL2CESqo7FqYohWS0n4Vk0sJmXEMVcYRFHK\njan2tOfduCuxB9o69QsSxB104Q66enV+BqWRNH0mwwyZJOvSTnr43skgUh1NoX0vAdEfEot1nurj\n5qAciVqhIcOYQ4Yxh1zTaP5T/f9o9TVjUR+/DoyMTF8jC5QuGJVmoqrJQyAosqvEzjljNSjkUJlu\nU1R9+G5/dpLxFI5kAOJ3t4uREunRVhGe0N4RhQqM8UeIkXjQnrwQCxmZU4XN10qpq4hSZxFV7vJO\ndUY0Ci0ZhlyyTSNJ1KYMOUeqU4lGoSXNMJw0w3AAAqKfek8N1e5KSbR4KvEGpZtQIiLNvgaafQ0U\nsf/wPgQtVk1MyDXMqolFEIR2I4BKaj2VRxUdKkFFnDaRuPbchiMLXUoPb8hW+UhiNQkMM2SSps8k\nRhM3KP42AmIAZ8AR1iYgHNXZqyPZxjw2Na9mRcO3TLBMxRGwsa11fWgf3WFn62YMSiPRmjgUgoJC\n+140Ci1Gpfx9I3NqkAVKF+g1SnKTjewtt9Pm8lNc6yIzQQ5T6g4eX5DSeulLJ96iwWw4zf/EAl5o\nyIfmYkmQ2Gs46pK43irljUSmQ+Qw0EfLrlsypw1BMUitpyqUyNzsa+jURymoSNNnkG0cSZpheJ+F\nFskcG6WgIqE9DwXORBQlUdIYlstSj6ND8rlX9ITyWY6HVqEjQZscSs6P0cajFLr32SeKIt4ONsEG\npQG9cvDdGKt0l/L/yheGXouImJQRXJt6+3FFhlqh4Sfxl7Oq8Xs+qf4HUepoJkfO4Lv6z8Ku45H7\n6fhardCwo20Tbb5mQCBGG8dP4644jqvbwBd+MoMXuVDjUQgERZbuaMThCaBWCswdH4NWPfATK081\n+yvs7KuQ7gLNzIsi1jL0ltOPSzAATQegZjvU75VESicEaUUkKv2wKNHK8fIypxeegJtyVzGlriLK\nXcV4gp3DG41KUyhEJ0mXhlohhzIOVNwBV3gSvreeJl9Dp5otJmVESIwk6FKIUkcPilWOwUSJs5Dv\n6j7jhtS70CllF02ZwYd8++koKBUCo4eZ2FDQii8gsq/Czvjh8gTyWASCIkU1UniXxaAixnwaTSRE\nEdrKJVFSuwu8R9hYKlRgTglfIZGrssucZkh5B02hGhQ1noounYbitIlSIrM+g+hBEqIjAzqlniRl\nalhhQFEUafO30OStJ0CQeG1ij5PTZY5PgX03EapITKoImrwNrG36kWGGLFmcyAxaZIFyDBKjtMRa\nNNS3eimudTE8Ti9XmD8GZfUuvH5pspGddGKFzAYNjnpJlNTsANcRtRcUKojNg4TxYM2Wk9iPgTvg\notZThTNgP4pLjwaVoD49/qaGGAHRT7W7glJnEWWuolABwo6oBQ2p+nTSDJmk6YcPyhAdma4RBAGL\nOkpOtO5nnAEnm1vW4gw42o0BMsKqwMvIDDaGdIiXKIrUe2uI0yb2eh9tTj/LdjYiAjFmNTPzouRJ\nUheIosj3OxpxuAPoNQrmTYgZusYCHhvU7pSESVvFEW8KYM2UREncKHmV5CgcthOtpMZdQVMX+QZH\n0qXdaBdWo10WS2vvO9SrZA8UnAEHZc6DlLmKqHCVdHLdAjCrIttDtzJI1KV2O+dARkZGRmboM6S/\nrffYtrGmaSnjzWcwJeqsXhXnMhtUZCToKapx0dDmo6rJQ3K0POk8kupmDw635LKTlWgYmuJEDELB\nV1C+lk6J7hHJkihJGCvnkhzBYTvRynYHn4ou7USPx4najYJUKduqiSEvYhzZxrwhaTl6KgiKQRq9\ndZS5DlLmPEidt7pTHwGBRF1KKJ/EopJv9sjIyMjIdM2QXUHxBr38q+LvoclMki6VObE/w9CL0AGv\nP8j32xvw+kUMGgXnjY9BqZC/WDuyYncTTXYfaqXA+RNjUCuHmKGAKELhEihbc7hNb4WEcZIwMcad\nurENQJwBBwfs+6h2l1NzDDtRpaAiTpPYXqk6mUi1Fd8h+9DgYWceT7udaNd2o+0PsSszgqOjETTk\nmEYzMmI8UZrovjjt0wZ/0E+9tyZUVK/WXdnl9dcqdKTpM0gzZJKqS0erlG/uyMjIyMgcnyErUABa\nfE18X/dZKHzEoDRyXuzFYVV0u0txrZPtxTYA8lKMjEgx9elYBzONNi8r9zQDkJNkYFTaEPRNP7gU\nDv4gPTdEw8grwZJ2qJSuDNJKSY2nkr227Rx05Heq8A0d7USTSdCmEKtN6LPQnnC7UXeYwDn0cAWd\nFDsKsAdsYdsm69IYGTGBdENWr1ZahzqegJtaTxXVocJ9NZ3qkhzCqo4hzZDJMH0Gcdok+XrKyMjI\nyPSYIS1QAHxBH6sbvw+rejs16mzGmCf1KLxAFEV+3NVEq9OPUgHnjYvBoJVjpgHW57dQ3exBEOCC\nCTHohlrl+LI1UPCl9FxrgSm3gy7y1I5pAOELeil07GVP23aafPVh7xmVEdLqiDaZRF0KUeqYUx7W\nExSDlLmK2NO2jQp3adh7RqWJvIhxjDCNxag6fW9CuAJOqtxl7RW+K2g84vfaEbMqst0yNplk3TAi\n1LJDk4yMjIzMiTHkBQpI4mKffSdrGpeG7vplGHKYHXMBGoW22/tpaPOyaq+0UpASrWVKtjxJtbn8\n/LBDcq9Ki9UxKXOITU6qtsDej6XnaiNM/jUYY0/tmAYIzd5G9tq2U2DfHRbeo0BBhjGXURHjidcm\nn3JBcixafE3stW0n37Y7rCK1AgXphmxGmSecFlXKRVGkyVdPaXtie62n6qh9ozVx7fUrpFWw01nI\nycjIyMj0D6eFQDlEvaeG7+o+CyXoWlRRzIu7BKum+xPOjQUtVDZJE5mzRkYRYx6YSbaiKJ6USdX2\ng20U10n5BXPGRg+tyvF1e2DnPwFRcuOaeBuYk071qE4pATFAqfMAe2zbqXKXhb1nUkaQFzGeERFj\nepXrdSrxBb0ccOxnj20bjd66sPei1DHkmEaRZczDpBo64Yv+oI8qd3l7TZKiTmFvAEqUxGrbc4S0\nKcTrktD24KaOjIyMjIxMbzitBApI9RaWNSyh3FUMgEpQMyt6Htmmkd3a3ukJ8P32BoKiVIzwnDHW\nAXd3dX+FnfxKB7nJ/Zsr4/EF+WZrPUER4iM1TB8xhHzuGw/A9ndBDIBCDRNvkQosnmYExSDOgB27\nv41Kdxl7bTtwBsKLUKbo0hllHk+aPnPQ5xuIokitp4q9tu0UOfI75Vkk6VLJNo5kuCFnUCZ8O/w2\nSl0HKXMWUekuxS/6O/WJVEczrD2xPV6biFIYQjcdZGRkZGQGBaedQAFpErK1dR2bWw47Mo2MGM90\n6znd+jLeV25nf6UDgPHDIxgeb+i3sfaUgkoHe8qlCaQgSKsaEfr+mWB0vA4z86KItQzM1aQe01IK\n296BgBcEJYy7HmJy+2TXATHQIWn7iITuDi5VACaVGZPSjEllJkJlRqvQ9bkY9gW92P1t2Pw27IFW\n7H5b++s27P42HAFbl5W+NQotuabRjIqYMGQLsLkCTvbbdpFv30WrvznsPSVK0gwZZBlHMsyQMSAn\n8QExQKuviSZvAw3eOirdJTQcsToEUjhbki61vUhixpD9fcrIyAwsHBs3UnbTzeSsXYMysv9C5utf\nfQ3bd9+R8fln/XYMmb7ntBQoh6hwlbC0/suQBWqsJoG5cRcToTp2HoU/IPLDjgZc3iAalcDc8TFo\nVKf+znFHp7FDJFm1nJnT9//4/oDIt9vq8fpFIo0qzh498FaSeoWtGrb8HfxuQIAxv4D4MbgDLspd\nxZS6imj01tHTfxuf6MUb9OLvomBdd1EJakyqiDDRYmp/GJUmAqL/sCVvmAhyt4sfb/v7kiByBux4\ngu4ejSFGE8+oiAlkGkegVqh7fS6DCVEUafDWUujYywH7PlxBZ9j7GkFLhjGXbGMeibrUHv0fHBKs\nohhEo9CiFFQ9/j8SRRFnwE6jt4EmXx1N3gYavfW0+Bq7dFID0CsMpBkyGKbPJFmfjkauByMjc0rx\nNzbS8Mab2FeswF9Tg9JqRZubg/XaazHNGpoV4UW/n0BrK6rovrF591VWcuC8uaR//BH6UaNC7UGX\nC9HrRWkZYjmyQ5zTWqCAVNH6+7rPQ4XFtAod58ZcSJoh45jbVTS42XSgFYDMBANj009tbHp5g4vN\nB6TcGrVKINKopr5VSlyePSoKa0TfTkAO1jjZUSKJoSlZFlJiBl+4SyecDbD5TfDaEYHmEfMoizBQ\n6pSShrtaSegPVIIaUQwSOIqNa38iIGBUmkLCx6QyE9EuiMzqyNO+uF5QDFLpLuWAfR/FzoJOFdKN\nygiyjCMwqcxdiMVD9VoOPz8yxEqBQqp639VD0KJRaNAqtCgEJa2+Zhq99TT56o8rNAUEojWxoSKJ\nsZqE0/r3KCMzkPBVVlLyi1+iiIgg9p570OXmIAZFHOvW0vT2O2QtW3qqhzgo8FZUUjRvHukffRgm\nUGQGJ6e9QAHpLub6puXstm0NtWUaRzA16uyjJsWKosiqvc002nwIApw7NhpzP4VSHY+aZg/rC1oQ\nRVApBGaMjEKrUvDDDilXJjpCzVkj+25i2XEFyaBVMHd8zOCvHO9uxb/5DaoVDkoNakojzdjpXHhO\nI2hJ1KWg6uHqgVpQH2XCeeihQavQoVZoUApKRFHEHXSGQq3sfpv0PHDodVu3K6ofbdKrV+gxqSyd\nVmIGex7JycIX9FHqKuKAfS/lruKjrlacbAxKI1Z1DFZNLFZNLNHqWCLV0agUAy8MTUZGBsr+53/w\nFBSS+c3XKHThN/sCdjtKkwlfdTU1zzyDc916AIzTpxP/6B9Rx8cD7WFM336L9dZbaHjlVfzNzZh/\ncgGJTzxB80cf0bjoLUSXC8ullxL/h4dC+z8w5zwsP78cX3kFtu++Q2E2E//7BzHOnEnN409gX74c\nVWws8Y/9L6YZM4D20KwbbyJn3dpQaNaRqxeH+qQtfoe6l17CU1CINjOTxKeeRDdy5FH349q+nbr5\nL+PauRNBqUQ3ehTJf/0rqthY7KtW0/DmG3gKDyAAujFjiH/kYbQZ0g3lfXkjpdj29mmt4YwzGPbe\nu9S/8qoU4vXF50D7qvjChbR89DGBxkY06enE3vtbIs49N+xckl+eT8sH/8a5bRvq5CQSHnkE4/Tp\n0j78fmr/8hy2774j0NKCMiYay0U/I+7++/r2j+M0Rv7GApSCkhnRc4jXJrGi8Vv8oo8ix35KnUVM\nipzGGPOkTjHmgiAwNj2CH3c1IYqwq8TG9BGRJ/2uZEOblw3t4kQhwNTcYOGdtQAAIABJREFUSKwm\nafKckWDgQLWTRpuPmhYviVF9476zt9yOyytNxnKSjINWnATEAHZ/G1X2QspqVlCRJOBXHBKkh8VJ\npMoaCoeJ1yX3WWHBYyEIAnqlEb3SSJw2scs+vqAPR8CGzd+KM+BAJajRKDRh4kfby7AhmeOjVqjJ\nMo4gyzgCV8DJQUc+Bxz7qPFUhvqoBFUXYvSwKD30XIHiiBWWw0UmO67C+DrYOSsFVbsQicGqjiW6\nXZDolQMnJ05GRubYBFpbcaxeQ+x993YSJwBKkwlRFCm/8y4Uej3D/u8fkpnHU3+i4u7fMPyjD0N9\nfZWV2Jf9SOqbb+CrraXyN/fgr6tHFRdL2ttv4y0+SMW996GfNBHz3Lmh7Zr/8X/E3nsvMXfcTvMH\n/6bqDw9jnDoV84U/Jfa+e2l4802qHvoD2cuWImjaozG6+k7poq3upZeIf+ABlDEx1D7zZyp//3sy\nv/yyy23c+/dTetPNWC69hPiH/4Cg0eDasgUxIEUTBF1OrDfeiG7ECIIuF41vvEH5HXeQuWQJgkpF\n+ocfUnLVVaS9/Rba3FwEtfrwMTocp+m992ha/C6JTz6BbtQoWj/7nIrf3MPwTz9Bl3s437T+5QXE\n//5BEp54nIbXF1L5uwfIWrYUhV5P0z/+D9uypSTPfwl1UhL+mho8xSXH/F3L9AxZoHQgy5RHgi6Z\ndU3LOejMxy/62NC8kv22XcyInkOqfnhY/0ijmvQ4PSV1LupavX0qArpDs93HuvwWgiIIwBk5kWGJ\n6jlJRkrrXPgCInvKbMRHak5YTDTZvBTVSDH41gjp/AcqnqAntNpw6GHrsALh6OhGpQfpKkorDom6\nlFA4zEBNGlYr1EQqrESqrad6KKc9eqWBUeYJjDJPwB1wISK255T0rZgNikF87blMeqVRXu2SkRnk\neMvKQBRDqwBd4Vi7Fk9hIVnff4c6UbphlfTC3yiadz6O9esxTp0KSCsDSc/+GYXRiDYrC+NZZ+Hc\nvJnshcsRVCq0GcMxTJiAc8PGMIFinDmTqGuuBiD27rtoWrwYTfowLBdfLLXdcQetn3yKu7Dw2KFT\nXQTkxP32tximTAEg5s47Kb3uOny1dajj4zr1bXz7HXR5eSQ+8USoTTv88LzLPG9eWP/Ep58mf8oZ\nuHbuwjBxAiqr9F2tsFiOmdfStPhdom+9BfNPfyqd3z2/wbl5M03vvEPSc8+F+llvuhHT7NlSn/vu\no/Wzz3Dv249h4gR81dVo09MxTJwIgDohAf348Ue/NjI9RhYoR2BSmZkbdzGVrlLWNC2l2ddIq7+Z\nr2o/Jt2QxbSoczCrDyedj0w1UdnoxhcQ2VVqI86iQano/7vVbU4/a/c34w9IHwiTssydxJFWrSAn\nyciecjs2V4CyevcJCYpAUGTrQSnPRSHAxAzzgLozX+upYkfrRlp9zdj9bWHFA4+Hzh8kTYxgWOK5\nJBuGy7UeZHqNTtl/ol0hKNAqdWgZAjlfMjIyXU7qj8R7sBhVXGxInABoUlJQxcXhOVAUEijqxEQU\nxsM1qFTR0WjS0xFUh6d6qphoAk2NYfvX5uaEnisMBgS9Hm12dqhNGRMDQKCpqWfnJghocw7vWxUX\nB6JIoKmxS4Hi3reXiA7C6Ui85eXUz38Z165d0liCQRBFfNVVwIRuDSlgd+Cvq0M/Pry/ftJEHCtX\nhbXpOoz90HgPXbvIyy6l7JZbKTr/AowzZmCaPQvjrFkDak402JEFylFI1g/j50k3sqdtG5tb1uAT\nvZQ4D1DuKmG8+QzGW85ApVCjVSsYkWJiV6kNhztAUY2TnKT+LVLncAdYs68Zr1/6YBuXHkFqTNeT\nosxEAwdrnbi8QfaV20mJ1qFS9u4fqKDSgc0lLbWOSDH1m31xbyh2FLC0YQmBLuo6HEKBAmO7C1aE\nyoSpoQSTrQGrx0+sOQfFmGtB0f/hWzIyMjIyMgCaYcNAEPAUHSRizpye76DD13lHISI1CJ3bEBCD\n4flygkp9RA+g43aHJt3t2wkKaeW2Ywqz6O/6u7fj8Q/t5sjjd5fyX9+OOjGRxKeeRBUXj6BSUnTh\nRYi+3rtjhnGkuOh07Q6PXTdyJFnLlmJfvRrn+vVU/eFhdHkjSHvnnb4Zi4wsUI6FUlAy1jKZLOMI\nNjSvpMCxh4DoZ0vrWgoce5gWdQ7phiwy4vWU1DmxuQLkVzhIi9Gh0/TPRNftlcSJ2yf9k4xMNZGR\ncPSYc6VCIC/FxNaDbbh9QYpqnOQm91xAtTp85FdJNU8sBhXZiQMnzn1321bWNEkuJwICqfrhRKgs\nnSx5QyExYhB2/xtq23MFojJh9C9kcSIjIyMjc1JRWiwYZ86g+Z//xHr9dSj04TcbAzYb2swM/HX1\n+KqqUCclAdJqgr+uDm1Wdle77d8xW60givjr61FFSWFV7n37us5L6QG6vJE412+A33Z+L9DSgre4\nmIQnHsd4xhkAuPbsgY7C6FDOyTEEkNJkRBUXh2vbVoxTzwy1u7ZsRZuZ2aPxKgwGzPPmYZ43D8ul\nl1Jy9TV4S0sl0SlzwsgBzN3AoDJxTuxPuSThF0RrpGU+m7+V7+r/y1e1H9MWaGbMMCm52h8U2VNm\nP9bueo3XH2TNvhYcHmkVIzvRQE7S8YVCWqwOs0HSogVVDjy+nt29CIpSaJfYnusyMdOM4iSEsR0P\nURTZ0LwyJE5UgpoL4n7OT+J/zszo8xhvOTOUV2RURbSLExH2fwa1O6WdmFOlQozK06Omh4yMjIzM\nwCLhscdAFCm+4kravvkWT3ExnoPFNP/rXxRfcinG6dPR5mRT+eDvce3eg2vXbqoe/D260aMxnnnG\nSR+vJi0NVWICDa++hrekBPvqNTS88Wbnjt0xie3QJ/rWW3Dv20f1Y4/jzs/HU1xMy8cf46upQWGx\noIyKouWjj/GWleHYuJGaJ58KD1+LjkbQ6XCsXo2/sZGAveu5WPStt9D4zmJalyzBW1JC/YIFOLdu\nxXrrLd2+Bo3vvkvrkiV4Dh7EW1pK6xdfooiIQJWQ0O19yBwbWaD0gARdCpcnXs9M63loFVIMeIW7\nhI8qF3MgsJqYKGniX9bgpsnWR0uO7fgDQdbub6HNJd0tSI/TMyrN1K14R0EQGJVqat+PSH579ffu\nUlTtpMUhHTcryUCk8dRP5gNigB8bvmJ76wZAKjx3ccI1pBmGH30jUYQD30DlRum1MR4m3AQqOd9E\nRkamfxFFkbbvv+fgZZeTP+UMSm++mfpXX8Oxfj1BV/csw2WGJpqUFIZ/+gnG6dOpe/FFii+9jLKb\nb8a2dBnxjzwMQOrrr6OyRlF2002U3Xwzqrg4Ul555cQP3k03ro5tgkpFyosv4q0o5+Bll9Pw2mtd\n2+t2Z98dXutGSCFS3uJiSq75BSXX/IK2r75GUElOlMkvvYQnP5+DF19C7dPPEPvbew67igGCUknC\no3+k5aOPKZx9NhV33d3lKUddfz3Rt95C3QsvcPDiS7AtXUbKggVhOSdHHXt7u8JopOntdyi56mqK\nr7gST34+aYv+jkIrzyf6CrkOSi9xBZxsal7FPvvOUJtKUKO15aF3jCLaaGD2qL6pPRIIiqzb30J9\nm5T0nRytZUqWpUf7FkWR1fuaaWiT6rbMHReNUXf8CD+728+ynY0EgmDUKZkzNvqkmAAcC2/Qw3d1\nn1HpLgXAoorip/FXhJkXdEnxcij6Vnqut8LkX4PW3L+DlZGROe1xbNxI/Qsv4tqxo+sOKhW6USMx\nTJyEYfIk9BMnhkJnZGRkZE5HZIFygtR7aljfvIIqd1moTQjoMDrGMD1hMsPjTCe0/2BQZGNhK9XN\nHgDiIzVMzYnsVYhVs93H8t2SC0dKtI4p2ZZj9u8oagDOGhlFjLlvK9L3FIffztd1n9DorQMgTpPI\nBfGXH7/2Q8V6KbQLJFEy+deSSJGRkZHpJ9z79lH34ks4Vh12B1JYLJhmzcK9ezfe4uKjbqvJysQw\naTKGSRMxTJ4cyj2QkZGROR2QBUofIIoiFe4SNjavpKF94gygDJiYEXsWuREje1WvIBgU2XSglaom\nSZxER6iZPiKq1y5cABsLW6hslPZ39mgrUaajh2sV1zrZXmwDYHicnvEZp3a1odnbyFe1H2MPSFbH\nw/SZzIn9GerjVXWv3gZ7PgJEUBtg0v+AKb7/BywjI3Na4i0vp/7lBbR1KEgn6HRYb7iB6F/ditIs\nfZb6m5pwbtmCa/MWnFu34t67F/4/e2ceH0V5//H33nc298WRkISE+z7kUPBAQVFbb9C2tmqrrW3V\nnmqtVm3VtlbppVZ/rfQQj7ZaQQFFBATkvklIyEECue/sfc7vj2ezm80BCSQQcN6v17x2d3Z25pnZ\n3Xmez/O9QkXpOmOcNo2Eb30L09w5cipTGRmZCx5ZoPQjkiRR4izk84ZNOKXW8Pp4TSIz4i5huCGr\n1x1LUJLYdbSVypA4iTOpmTM6Do36zMKG7G4/6/Y3IkmQFKNlzujYbtvk8gZYt78Rf0DCoFVy+YSE\nMz72mVDjrmRN3X/xBN0AjDJP4OKEBacWfvUFcOCfInOXSgdT74aYoWehxTIyMl80/A0NNLz0Ms1v\nvw3tqU9VKmJvvonE+77dbe2HjgQdDlz79+PctVsIl/37kdzuqG30Y8aQ8M1vYllwBQqVnHlQRkbm\nwkQWKANAIOjn/aLtNGj2ElRFgh9TdUOZGXcJqfohJ/18UJLYXdzKiZClIzYkTrT9JBD2H2ujtEa0\na/aoWFJio4O6JEliW1ErNSG3sll5saTGnbvArzLHUT5pWBWucTItdg5TrLNOLfaaSmDf6xD0g1IN\nk78OcT1X65WRkZE5HQJ2O01//SuNry9HcjrD6y2LFpL8/e+jzcw8rf1KPh/u/Hza1qyl5a23CHbY\nt3bECBLuvhvrtYujAoVlZGRkLgRUTzzxxBPnuhEXGkqFkhR9GnXlw1BIGgLaRiRFEHugjUL7QRo8\ndcRpEzGqutYjEeKkbcDECUCcSUNZnYugBK1OPyOSDVGD/comD0WhTF9DE/SnVTelvzjctpcNjasJ\nEkSBgnkJC5lgnXZqcdJ6HPb9DYI+UChh4h2QcPbzxcvIyFy4BB0OmlesoPL7D4g4k5DVxDR7NkNe\neIGEr34FVewpknecBIVKhSY1FfPcOcTdeisKgwFPYSGSx0OgpQX7+vW0vPc/FEolutxcFJpzn2FR\nZnDgOnSY4nnzib3hy6gslnPdnH6j+PIrkIJBjJMndfta5sJBtqAMILtLWqmodxNUuIkdXkyZZz8B\nIv7FGYZsJlsvIkUvgh8lSWJ3SRvHG4RJ32pUM3dM/4qTdo6csFNwQoiQqdkxDE8SxaE8viDr9jfg\n9Uto1QqumJiITnP2Xbt8QS+7WrZwoG0XIDKkLUi6juHGXlhA7LWw+xXwuQAFjLsFUuWbl4yMTP/g\nKSmhecWbtL73HsEOtRb048aR/IOHMM2aNWDHDjocNL/zDk1/ex1/bW14vSoujvivfZW4pUvDMS4y\nX1xchw5z7JZbyFn3cY8JFsq/+jV0ubmk/uzRs9y606f48iuIu+MOEr5+JwD+5maURqOc3vcCRK4k\nP4CMHWamqtGDP6hHqpvILaOnsaftc4rsh5CQKHeVUO4qIV0/jEkxM6mpiuNEg7CcWI39bznpSE6a\nibJaF25fkPzjdoYk6FEpFRwst+H1C806IdNy1sVJQApQYNvPnpbPcQWFO4NeaWRRyg0k69JOvQNn\nE+z5v5A4AUZd37M48fvBbhf1UbRasajVZ1wNV0ZG5sJD8vmwrf+U5hUrcG7bFvWeNjOTpAcewHLV\nlQMewK40mUi4807ili6l9X//o/G11/CVVxBobqb+xWU0vvoacUuXEHfHHWhS5GQgMuceye+PKqjY\nn8jpuC9cZIEygOi1KvKGmjhcYcfmClDXaGB+2kImW2eyr3UHRfbDBAlQ5T5Olfs4aikBo24cSaos\n5oyOG1BxoFYpGDXUxL4yGy5vkNIaJxaDOmy9SY3VMjRBP2DH74wkSRQ7CtjZshmbP5JgIFGbzBVJ\n12HV9OIm5GmDvf8HXhtIQMYVoMuCslKw2YQYsdvBHnreXXE0pTIiVsKLLvq1TgdmM1gs4lFvkEWN\njMwFiq+ujpZ33qHlrbfx19VFvWeaM4e4pUswz5s3YAOwnlBqtcTdfDOxN9yAbe1aGv7yKp4jRwg6\nHDS++hqNr76GNiMDw9SpGKeK+iqa4cPlDGCDDPtnm2l45WU8R4tRAPrx40l55GF0WcJbwFdZSfEV\nCxiy7EVa3nwL5969aIakk/rII5hmz+6wn8+ofeZZfJWVGMaPJ/a22/rcFsnrpfa3v6Xtw9UEbTb0\no0aR/JMfY5wyBRD1fCq+die5n28Nuy62ty/z3+9gGDs2vM2wV16m/o9/wnPkCEP/8HtcBw9hW7uW\nxPvupe7FZQQaGzHOuoj0p58O78t18BD1L76IOz8fyedDl5dHyo9+iGFSzx4QnS0qzW++RdPrr+Or\nrkZpNKIfN45hr7yMQqmk6uFHCDQ3Y5w2lcbly5HcHuKWLCHpwQdo+OOfaH7zTVAqSPja10i4++4+\nXz+Z/kUWKANMdqqRY3UuHO4AR044GJZowKqJY17iVUyLnc3+1p0cbttPUOHHr2mkLW4jCvVBjnlm\nkqMejUoxcFlaMpINFFc7sbsDFFY6wumL1SoFk0bEnJWOTJIkjrvK2NG8iUZffXh9jNrK9NiLyTaN\n6l07XHZYvxyaVOBLg4AWSouAor41KBgEt1ssvUWlEkLFbAFL6NHc8dEstpGRkTkvkCQJ586dNL+x\nAtu6dcLaGkIZE0Psl79M3JLbTjv4vT9RqFTEXH01lkWLcGzaRMMrf8G1Zw8A3vJyvOXltP73vwCo\nkhJFMciQYNHl5cmZwM4xQZeT+K99Df2oUQRdLhpffpnj991H9gcfRIne+mW/J+XHPyL1icdp+PNL\nVP7gh+Ss/wSlwYCvpoYT93+X2FtvIW7JEjyFRdQ++2yf21L7m99iW7uW9Gd+hWbIUJr+9jeO330P\n2R+tRZ2YKDbqZeX5uud/R8pPfoxmeAZKkxHXwUP4KitpW72GYX/6I0Gnk8oHH6LuxRdJC4VCBx0O\nrF+6npSQy1nzv97g+LfuJfujtaisJ6/bBkLg1Dz9NOnPPYtxyhQCbTac26Otnc5du1CnpZLx97/j\nKSig8oc/wl1QgH7MGDLf+BeOz7dR84tfYJo9G/2YMX27gDL9iixQBhiVUsH4DAvbClvwBSTyj9uZ\nHKonYlSZ0bdMJb4hG6fpCG7jEYJKL63+JjY0rGZX8xYmWqczyjwe9alqfZwGSoWCscPNbC9qxReQ\n8AWEa9e44WYMuoHvtGrdVWxv3kS153h4nUFpZErsLEZbJvZOnLW0wOGDUHAIAmoiP+luQqtUqojV\no6OAUKnA6xWLxxN57vWCt/Nrb9f9BgLQ2iqWnkhNhTFjIStbFisyMoOUoMNBy3vv0bxiBd7ikqj3\ndGNGE790KTHXXIPSYDhHLewZhUKBed48zPPm4TpwAMeWLTh378G1dy9Bh4g3DNQ3YFu7FtvatYBw\nFzNMnoxxmhAthkmT5ED7s0zMlVdGvU57+mkKp8/AdeAgximTw+vj7/wa5nnzAEh68EFa//c/3AVH\nME6ZTPMbK9CkC6sKgG7ECLzHyqj//R963Y6gy0XLm2+S9qtfYr74YgBSf/EEju3baX7jDZK+972e\nP9xNKHPSd++PsvAASMEg6c8+g9IkEu/E3nILre++G37fdNHMqO1THn0E29q12Dd9hvXaxac8B1+N\nsJpYLr0UpdGIJi0NfV5u1DbKGAupP/85CoUC3YgRNP71b/gbGkh+8AEAtBkZNL76Ko7tO2SBco6R\nBcpZIDVWS7JVS12rl2N1LkakGLAa1ewts1Fe70aJnrTAVC4aMo8S90EOtO3EGXBgD7SxpekTdrd8\nzriYyWQZ84jVxPerZSMtTke8RUOTTWSfSbBoyEwe2M632dvIjpZNHHMWh9dpFFomWWcwPmYqGuUp\nUmYGg1BeDocPQeWJ6Pc0wJBMsMR0tWro9WfuiiVJwrrisIOtg7uY3RZ53Z3rWE2NWLZugVGjhVi5\ngDKryMic79g2bKDm8SeiAs8VWi0xixYRt3QJ+gkTzhv3KMOECRgmTACE/7+7sBDX7t04d+/BuXs3\ngYYGQAgyx+bNODZvBkBpsWCaOwfL/PmYLrlE9u8/AyRJwltWhnP3buJuvrnH7bzHj1P/4jJcBw8S\naGoS/Zsk4auuAiICRZ8bGWi319MJNDWKfZSVYpg4MWq/J3OL6rYdFceRAgEMkyPHVCiVGCZNxNNJ\nrJ8ShQL92LFdVmvS08PiBECdnIy/qSn82t/URP2Ly3Du2IG/sRECAYJeL77q6l4d1jx7Npr0dIov\nvwLT3LmY5swmZsGCqGPqsnOi/sfqhASU1uikEqrEhPC1lTl3yALlLKBQKJiQaeGTA6JA4oFjNiwG\nNeV1YiBrMaiYOzoOvVbFRN10xlomU+Q4zP7W7bT5W3EHnexq2cKuli3EqK0MN2STYcwmTT8UleLM\nvkKFQlh4PjvchEqpYHLWwLl22f1t7GrZQpH9MFLIwqFExdiYSUy2XoRBZTz5DpxOOFIA+YchNCMY\nxuCCZBVcejfoBjAtskIBBoNYEpO638bvjxYwTU1wtCjiOrZvL+zfB8MzYOxYGDpMjmGRkTlH+Jub\nqf3VM7StXBlepxkyhLglt2G98cbzfpCuUKsxjB2LYexY4r/6VSRJwldejjMsWHbhK68AIGizYVu9\nBtvqNaBQYJg0CfP8+Zjnz0eXO/KsCDR/Q4MoVLlnN56jR9GkpKLLy0OXOxJ9Xl7E1WiQIfn9uAsK\nQkU2d+HavYdAczPASQXK8W/diyYtjbQnf4E6OQWFWkXJNYuR2gt9ttNNjJMUDPbrOfRI6HtXKEVc\nbMfkr1IH98eOdGdl7BKnpVAIQRai6ic/JdDURMqjj6BJT0eh1VLxtTuRfN14LnR3TJOJEf/9D86d\nu3Bs3Urjq69R/8KLjPj3O6iTknpsg0IdbTVUoDh711amR2SBcpawGNRkpRgpqXHSaPPRGLJYmPUR\ncdKOWqlmjGUio8zjKXUUsrd1O02h+Iw2fyuHbHs4ZNuDRqFhqCGT4YZshhuzuq2r0hvizRqunJSI\nUqno98B8f9BPhauUYkc+5c5SgqE0ywoUjDSPZVrsHCzqk6TElCSoqYbDh0Wwe8ebhkYNxhaIaQOT\nFqZ/Z2DFSW9Rq8EaK5Z2Zl4EpSXC6lNbK86r/JhYYqxCqOTmCSuPzMAgSdDUCCggPl4WhV9wJEnC\ntnYtNU89TaBRzJYqzWaSf/wjYm+88YKNzVAoFGgzM9FmZhJ7442ASATg3LYN+4aN2D/7jKDNBpKE\na+9eXHv3Uv/CC6jT07CExIpx5sx+SesqSRK+ioqwUHLt2o23vPykn1HFx6PLy0Wfm4cuN1eIl5xs\nlGf53hl0OnEdOBARJPsPRBXp7A2Blha8ZWWkPvE4phkzAHAdPhwV89QbtFnZ2D7+OGqda9++vu1j\n+DAUajWuPXvQDh0KCAHk2rcf62LhXqWKjwdJwl9fHxbu7oKCfruXuvbsIeVnPwu7mPkbGvDX15/i\nU9EolEpMM2dgmjmDpPu/Q9Gcudg2bDipSJQZnMgC5SwyaqiJ4w2ucBpfs17FxWOixUlHlAolOebR\nZJtG0epvptxZQoWrhGr3CSQkfJKPMudRypxHoRGStWkMN2aRYcgmQZvcp9mu/ow5kSSJKvdxih35\nlDqK8EqeqPczDTlMj7uYeO1JZsLa2sTg/UiBsEB0JCEBRmZC0xoIuEChggl3gDG+386h31GpYGSu\nWBrqheAqPio6orZW+Hwr7NgOOSNh7DhI6sE6I9N3mpvFtS4+Kn5XACaTsGANz4AhQ0D2u/9C4aur\no/app7B9vC68zjx/PqlPPI4mNfUctuzcoElOxnrddVivuw7J58O5d68QKxs24C0tBcBfVU3zGyto\nfmMFCoMB06xZ6LKzUcZYUFksKM0WVBYzSktM6FGsU5qM4b5ICgTwFBaGXc2cu3cRqG/ooVEadDk5\n+KurCbS0hFcHmppwfr4N5+cdgp+VSrQZGSHBkos+T4gXzZAh4Vn/MyHo9eItKcFdWIjnSCHOPXtw\n5+f3KCTUKSkipmfaVIxTp/W4X6XViioujpZ3/o0mNRVfTQ11v32+zxnh4m67labXX6fmV78KB8k3\nv/V2n/ahNBiIW3Ibdb99HlVsLJqhQ2n62+sEGhuJW7oEAO3w4ajTUmn4459IfuhBvCcqaXj5la47\nO83yetrMTNpWvo9hwniCTqe4FtpTuHx3wLZhA76K4xinT0NlteLYtp2g04kuO+e02iNzbpEFyllE\nq1YyIdPCruI2YTk5iTjpiEKhIFYTT6w1nonW6XgCbo67j1HhLKHCVYonKDJO1XmrqfNWs6tlCyaV\nmTzzeMbFTDm161Q/IEkSTb56jtrzKXYU4AjYo97XKLSMMI5ktGUiqfohXXcQDIoYjYpyEV/S0hz9\nvlIpAszHjoP4GNj1shAnAKO/DHEjBujMBoDEJJg3Hy6aBUWFwqrS2iqC7QuPiCU+AZKTxGNCgniU\nrSu9x+GAkmLhWtfQzQDI4YCCfLGoVEKktAsWOTbogkWSJFrffY/aZ58lGBKrqthYUh59lJjF15w3\nMSYDiUKjwTRjBqYZM0j58Y/wlpdj3yjEimPnLvD5kFwu7OvXY1+//tQ7VKlQms2ozGYCra1RhS07\n0jFg3zBlCoYJE1Dq9UihGXtP0VE8hYV4iopwFxXhLS6OuEEFg3jLyvCWlYUTAAAojUYhWjoJl54K\nWUqShL+qCndREZ7CotCxCvGWHRP35x7QZmWFM6MZpk5DMyS9V78lhULBkBdeoPaXv6T0uuvRDh9O\n8k9+TOX3vt95w+4+HH6qSUtj6B9+T+2zz9Hy9jvox44l+Qc/oOpMiC6DAAAgAElEQVTHPz55A4LB\nKEth8g9+ACioevRRgm029KNHM+y1V8NudQq1mqG/+x3VTz5J6ZdvEGmIH3qQ4/fed+r29oK0X/2K\nmp//nLKbbkadnETS/ffT2NxpLNB53x1eq2JiaPrkExpeeomg24122DDSnn4qKtlAr5DvA4MCuZL8\nOcDpCaDXKFEqz/xPEJSC1HmqKHeVUuEsockXPRhTKzSMtkxgQsx0zOr+H3jZ/K0U2ws46iigudOx\nlSgZZshipHk0GYbsrpnI3G44XiFESUVF9xmyLBYYPQZGjQKDEYIB2Pc6NIUC7DPnQ85V/X5eZxVJ\ngspKyD8Ex471PPtkNAnXpISEyGNsnJwVrB2PB8rKoLgIqqq6XsekZBg5UnQ+5eVQVRntMthOfAJk\nhMRKcrIQxzLnPb6qKqp//ng4IBwg5upFpDz6KOqEhLPSBmebl8ZKO35fkPg0IzEJBhT90A+cLQJ2\nO44tW4VY2boVf0PDSQfuJ0OVmCgG9VOnYpg6BX1eXp8sB5LPh7e8XFg1QuLFXVSIv+rUAdXqtDT0\nIeGiTk7GU1oi9lFUJNzbToZGg37UqIggmTIFdfwgtt6fhJKFi4i9+SYS7rrrXDdFRqYLskC5wLD5\nWil3lVBkP0y9tya8XomSXPNYJlln9q7o4Ulo87VQ7iqh1FFEjedEl/dTdUMZaR5NljEPvapDoJwk\nCXebinLhvtUei9GZlNTIALFjrIAkwZH3oHKHeJ00FiYsBcUFNIC028WsfnUVNDZ2L9o6olSC1Rqx\nssSHxIvZ3D8Zy9raRNxGY6MQlImJkJYm4mYGwyxTICBE7tGj4jfVebAUYxWiJGckxMZGv+fzwYkT\nUHFMCOTu/Mf1evE7nDIlOqZI5rxBCgZpfvNN6n/7PMHQd6xOSiL18Z9jueKKATmm3xegudpJwwk7\njZWRxWWLDnxW61QkpJtIGGIOLeK53nR+uBxKkoTkchGw2QnabQRtNvHc1hZeF7DZCIaeK7RaDJMm\nYZw6FU1GxoBYrAJtbXiOHg0Jl4glJNg5sUovUKemhuJdctG1x7yMyOyT29FgxN/QgH3DBqp//jgj\n/v2OnE5XZlAiC5QLFMnlolKqZW/bdqrcFeH1ChSMMOYy2TqTRF1Kr/YVlILUeCqpcJZQ7iqlxdc1\n/V6cJpGRptHkmEdjUXcqqNSefavwSCQGoCNarchklZEBw4aLDFndUbEFilaJ55Z0mPYtUJ3fHcVJ\nkSThitQuEJqaxPOWlu5n/jui1UbESkIH4dJTx+p2i303NYWOFXreU7Cm0Shqu6SmiSUhYeAtDYGA\nELgdr0ddbVcRZzBAdo4QJknJvRNSkiRcwcqPCQHdOTBTpYLpM2D8BNmich7hPXaM6p89hnPXrvA6\n6403kPLjH/eq8FtvsDd7qK9oo7HSTsMJB01Vdlpqnafrhg+AKVYXFivtS3yaEaVK/u2dDpIk4aus\nEoKlKOQmVliEt6wMgkHhCjZyZChbWC76PGFd6a/fyGCj+MqrQAEJd95J3JIl57o5MjLdIguUC41g\nED7bJARBcgrMvZjaGB/7WrZzzFUctekwwwgmWy8iTT+0y27cARfHXWVUuEqpcJXiDXq6bGNWWcg2\njWKkeQzxmqTo2TBJgtoaEV9RWtp1QB0bK2amMzKExeRUbkoNR2Df3wEJdDEw/dugvzA7j1MSCAiR\n0nGg3tgIzl7MEFosEbESDIb20dS7z6pUPbtzaDTie0wLCZbk5G7TYvYKSRKWpO6EWU+3K7UaRmQJ\nS8nQoWcuIhwOYZk5dkyIlnaSkmH+fHENZQYlkiTh2rWL5hUraPvo47DI1qSnk/rkk5jnzumX4/h9\nAba9V8r+9ce7rQvbjlKtID7NREJ6xEqi1qloqnJ0sK448LpOnrlJo1eRmmUlPcdKWk4sKZkxqHsR\nwyjTM0GPh0BLC+qkpH4JppeRkek/ZIFyISFJsOFTEXjdkdFjYMZMmpQ29rXuoNhREK5DApCqG8Jk\n60WY1TFUuEood5ZS66mM2qadFF16qA5LVldRAsJt5miRyFLVudBRfALk5QlR0hd3GXsN7HwZAh5Q\naoTlJKabQPsvOm53ZDDfGytIT/RkfVGrxT6rq0OFJ6u7d4sCIRCSksHYx6KfLpdoc29c22LjRPuG\nD4eMzIHLxFVdBRs3iEQG7ceePEUscvzPoCFgd9C28n2a31iB5+jRqPfibr+d5IcejCrYdiY0Vtn5\n+P/yaayMDvi2xOu7WD6sKQZUp7B8SJKEvdkTESwn7DRWOWiucSIFu++ilSoFyRkW0nJiSc+JJTXb\net64hsnIyMicClmgXChIEmzaAEeOiNdmsxg8tlsudDqYMRNGjaYt0Mb+tp0U2g4S4OQBjlqFlqGG\nEWQYsxhmyOo5I1hzsyigWFQYPbgMZ98aK2bY++pz7LHBzj+DO5RmcsLtkDyub/v4ItMxjqSj+1Zr\na2iQHyvER3v8SkKCSMHbW7eotraQYAkt7YP4/sRkihZKCQlC4J5NceD3w66dcGB/xIoTHw/zLhXW\nIplzhufoUZpXrKD1vf+FY0xAZKOKuXoRcXd8BcP4/rlnSJLEwQ2VbP1vMQGfuLcmZ8Yw+8vZJA4z\nozP2r0AI+II01zqor7BRXdxKVXELraECv90Rn24iPSeWtJFWho2Ox2Du4NLp9wvLoM0mLJT2Do82\nO3g9IhGHxQxmi+hD2h8tFuHWORjizmQGF++8Jfr4k6RTHlB27RRjD7cb5l8q6onJXBDIAuVCQJJg\n00bh1gUQFwfXXieyGm3ZAieOR7ZNTIQ5F0NqKk6/nQNtu8m37cMnRUSFVR0XrqeSqh+KStHDQDAQ\nEO4vhw+LjEgdMZtD2bdGi47tdAj4YM9r0BqKocm5SmTtkjlz/H4x2OjvQb7TKYRKdbWID+mr9Uaj\niQiRdsHUDwXh+o36OmGlbK/No1DAhIkwbfrpu7TJ9BnJ58O2bh3Nb6zAuXNn1Hua9HRil9xG7I03\n9mt2JWebl/V/L6D8UMgyrICpCzOYvnjEKS0k/Ymj1UNNcQtVR1uoLm6hodLRreejRg2XTfWTExsS\nIn0sItgFpVJMFlg6iJf0dEgfIguX/qChHv77H0hJgeu/3LvPFB6BLZvhG3cPbNtOxqkESuERcc9U\nKMRYxWgUbsAXXQSWkxRp7g1NTeL4Vy0UE6BarWzVvoCQBcr5jiSJmJOCfPE6NiRO2kWBJAk/+s+3\niJmzdnJzYeYsMBrxBNwUOwoIEmSYYQSxmpN06g5HZABaVtY1dmHoMGEtGZ5xZnEAkgSH34aaUDXc\ntMkw5ma5I5Q59wQCsG8v7NkdsVBaraK2TVr6OW3ahY6vtpaWt96m+Z23owv8KRSYLp5L3JIlmC+5\npN+rwB872MD6vxeEs3CZ43Us+PoY0keeWUbELvj9IatGu2UjJC4cdvB4hXXa6xGPod+eN6CkxqGn\n2m6gymGk1qEnIEXuvROTmpg1pB5Vd7dOozEiNrRaIWLaLSuncrNsJzYWxowVM9dnezIhGARbW3Ss\nWiAAWp04n86LruP60HONZnD0K59tEn1mUSF8+QbRl5+MYFC4U58PAmXLZlhyu+jXW1qEt4dKDTed\nZp/ePmw9dgw+XgvfvPd0Wy8IBuXkJ4MQWaCcz0gSbP5MmDdBdBTXXt+9xcLvF4OqfXsjgc4ajZj5\nHTuu+1kHSRIuO+2CpKa65yxceaOEMOmvVKwntouUwgCxmTDlLlDKM9Qyg4imRtiwQVhV2hkzFmZe\n1HO2NJnTIuj1Uv/iMpqWL49K1KCyWrHeeCNxt92Kdvjwfj+u3xtg67slHPw0kk595LRk5i3N67s7\nlyQJN5TO4qOju5WrZ/et3hIIKihrNbHheCqegLivpyXClQtMmFOs0S5cJxNyHk902zq3t3PaXrUa\nRuaKfiAh8YzPowvt8WlNjZHkHs2nEWPXHR0FS4+CpoOwiYkRS38Nav1++MdyYTk5uF8cY9bsyPs2\nG7zxT7j8CigoENbpmbNgy2cRy4RCIURCd0LB7RbbVleL79VigYmTRL/dzsr/CVGk04kJT4VCfJ8d\n2+FyiXi8yhMiW+KUaaK9vREoHUVU8VFY/wncukRM7ni98PlW4ZHh90NSElw0Wzx23McVC2D7NiFy\nMjNFAp6O5//Ne8XzPbuFR4nLJfY/fQZkjuj5Wl40S/x+t2yGK64UE7p2u0i4cunlwgtlx3axv4xM\nMRnV/t85XgF79ojfIojYy9lzhCdLx+MtuAoKDov4TYsFZs8V+2+npRm2bRMxj5IkPAgumSe8CUC4\n7x/YJ8Zg7fXhJkzs8Sd1ISCP+M5XJEn8mdrFidUKi6/r2Z1KrRZiJDdP3AiOlYmA9s+3ij/y7LnC\nXN/Y0CGmoKbnDlOlEr73uXkipWt/BijbayLphHUxIu5EFicyg434BPjSl+HgAdi5Qwyc8w+LNMWz\n54gOcTDMzJ7neEpKqPzhj/AUFITX6cePJ27pUmIWLUSp1w/IcRtO2Pn4r4dpqhIDcY1exbwleeTO\nSOm+fkcgIAbt9g4D+c7xHqczmG63cuj0vRo8q7RacrRaktsCrHn1sIhfaYC3V3m58q5khg7ppdub\nTieWnopYut1i4Jh/WAya/H4xsC3IFynIx4wVA9e+WrO6Syfe1Ng7F7WYGHEdvN7IcqqU7BDZti+o\n1WIQ2jmhSE9p8k9GaYlwd4qPh5F5sO4jMdHRWQDt2C4G7vMvDQ3Mg+Les+R2QAJ1D/1wIACJSTBp\nCmg1ov7TZ5uEUB3SIeFM8VGRSv1LN4ixwCfrxIA7J0e8/+l6Yc1bfK04/62dPDN6i1IVaRfA6g/E\nb23RNeKx8Aisel8ImPYxTSAghMDF88Q1NhpFWYJNG+GrdxJOpXfwgIgVvHieEDhFhfDRWrjx5ujf\ncsdrqVQKERIICMF1+QLx/KO1YlGr4cqF4jf/0RqRnbRdHPj8MGGCEOV+n2jjmtVw623R39/OHTBr\nFsy9RAioTz6GpXeIsZPDAf97T7i+Lb5OXIO6uoilqCAfdu2CuXPF99jUFLJCqcQE8wWKPOo7H5Ek\ncWM4fEi8tlqF5aQ3GWpiYoS/ZkUFbN0sLCTNzfDBSvEn7KkD1Wqj08gmJQ2Mz33ACwdXQNAPKGDc\nraA19/9xZL6QSD4fQU/XlNknQ6nV9lyYTakUM5GZmWJmsbpaDEQ/WisGG5MmCwEvuw/0GUmSaHnz\nTWqffQ4p9J3px40j9eePYZgwYeCOG5Q48OkJPn+3hIBfDG5Ts2K44utjsSZ1Gnw2NsL2z8WA4TQK\nAaJSRYLQzZ2C0y0WcU8/TXe1mCS44UdT+Oyto+RvrsJl8/H+sn3MvD6LKVdmnHkFe71e/PYnTITj\nxyH/EJSXi/dqasTy+VYRhzh6jDifjnRMJ94xgcfJ0om3o9NFx6nFx0NcN3WeJEn0ad5O7nEdF083\n6zpv2117/H5RL6lzzSSjsatoSTyFRanwiHC7BjFRqFYL96WsrOjtxo2PXtd+vqcSRSaT+K7aGT0G\nKiuFIOkoUOLixUQmiHFFQb6wluTkiO/leIWYlElJFdvMvwxW/Ovkx+6M3Q7794HJLLw+Kk+I7/5r\nX4/81qfPEL+lo0WRdksSzL04+lp2d/4H9ovPtIuq6TPEhOv+fXDZ5ZHtOl/L8DEuEecOYh+HDgoB\n1O6+mJEpYm7bBUrnfcybD3/7PyEwUlMj6ydMEK7vIBIWFRWK805NFWM5jQYWXBnpK2I6xOfs2S1i\ndkaEjmWxiL7l8CFZoMgMItrFyaGD4nWMVcSc9DV95vDhMORWMduwe5e42XYUJ+2BbGmhJS7+7Ayy\nilaBI+QyM+IyiMs6+fYyMt0gSRL+2lo8hYW4O1ST9pSW9nkWW6HVEnfHHSR977s9z9ZbQ+6VBfnC\nBcHrFYOu9Z+ILDMTJwlroxxI3yv8TU1UP/oz7J9+KlYoFCTccw9J370fxUClk0YEoK9fXkBFflP7\nYZl2zQimLcroWiSx8oQQoiebedfrQ2Kju8xYZtAbBtTKptaouPSOUaRmWdm4opCAL8i290qpKWnl\n8jvH9E9aYoVC9CfDh4t4kPx8YZV3u4UFfu8e4VqckSEC6ttrOPU6nXhstBCJ70OmQYVCDPw0mr73\nke2ERU5IsLjdoXPokNK946SH0ymWjslpvnVfz/tvbRVi7vIFkXU5I6GwoOvgt93l6XTOYe8eKCkR\ncaOBgLAsdY6ZS+hkXTOawB3yomhpjqSPb6ddRJ8Knw/++ppoR7s158qrxP4aGsT1Xf636M8EAtDW\nISukQtGzNa8dr1dMFKSkRq9PTROTsh3p7lqqVBFxAmIcZDBEx1YZjeJatNPWBju3C0HidkfErN0G\ndGhHx9pZ7des3UOlsUG0sbsxlsslRN2mjcLq1U4weMFb6PvUW9bU1PDTn/6UDz/8EJvNRnZ2Ni+9\n9BIXX3xxeJsnnniCV199lebmZmbOnMmf/vQnxowZE37/oYceYvny5ZjNZp555hmWLl0afm/lypX8\n5je/YdOmTch0gySJGamwOIkJiZPTtDCoVEKF54wUQsXrjVQHj4k5+z/+mgNQGcrIEzsCRlx6do8v\nc14SdDjwHD2Ku12EFBbiPnqUYD+lPJa8Xpr++ldsn6wj/emnMU6f3v2GCoVwa8nOEULlwH7RubS1\niY5l9y4x6zZ6jByjchLsn31G1cOPEGgQQfDqtDTSn3sW04wZA3rcysJm1v7fYVxtYtBsSdCz4Btj\nScvupiBs8VHh7tLuPpSdIwY2YUtISIgMEkE6enYaScPNrH7lEG31Lo4dbOSdZ3ay8JvjSRpuOfUO\neoslRrgmTZsuBsP5h6C2NpKs5dixnj9rMnUVIrFnOZ14d0SJnNC6jgN7SRKD/samaLe0lubeuZcd\nKRD7+Nc/ur7nsEf37z25cJ2K/ftEHz97jriuGo2YSHF3cuFW9hCL2pHTGRdoNHDTLaAADMbo/4Uk\niXXXf6n7z7WjUp3ZmKTzR7u7lt3tvzvR0PGSrP5A/NcvmRcSzkp4+82u3323++lNCHhom0vmdRVe\nFzi9vnu2trYyZ84cLrnkElavXk1iYiKlpaUkd6gB8Nxzz/HCCy+wfPlycnNz+cUvfsGCBQsoKirC\nZDKxcuVK3nzzTdatW0dhYSHf+MY3WLhwIfHx8djtdh566CFWrVo1ICc6qPB4xJ+tL52XJMG2z8VN\nBkLi5HrREZ4pZnN0INy5wNUEBf8VzzUG4drV3c1S5oIlYHcQaGwgYLMTtNsI2GwE22yh53aCNhsB\nu41g+H07gaYmfJWVp9y3OikJXV4eutxc1ImJve/oJIm2NWtwHziAr7yC8q98lbilS0h66AeozD3M\nHOp0QviPGy8CG/fvE7NpTqf4D+/dI8zy4yeIGXYZQFT1rnv+eZr/HhmoWRYtJO2JJ1BZuxEJ/YQk\nSez9qIJt75WExwu5M1OYd1seWkM39+j9+8T3CGLQcellYpJnkJM41MItD0/jk+UFlO1voK3BzX9+\nvZtLluQyZk4/Z59TqYTLUm6uSJ97+LAQdX6/GHTGxUcLkcGWTrwvKBRCRJjMworUTiAArS1CsPRE\nMChcfWbMFBamjqz/BAoLYcrUnj+vUvVukFtTLdyLRuZG1rW2gq4PEyWxceJYdbWRgbKtm2QJPdHR\nZakjiUngcgoBcaZph7VaIRJqa6Jd12qqI0Hr/Um7Ne3iecI1D4TLX2+EaUcSEsX/o7tsYgajOKfW\n1ujv7wtAr0fIzz33HOnp6fztbxEzXEanP9SyZct4+OGH+dKXhBJevnw5ycnJvPHGG9xzzz0cOXKE\n+fPnM3nyZCZPnswDDzxAWVkZ8fHxPPLII3z1q18lL+8CLLIjSeJHW35MBNCGZgbR63vwPQ496vWR\nDBXbt4kZWRCfWXxd/4iTwUAwAAffFJXiAcbcBPqBG5DInH2kYBB/fQP+6ip81dX4qqrwVYUeq6vx\nVVf3i8VDYTCgy8lBl5eLPlcIEl1eLuoz6Jziv/ZVmpb/nfply5A8HprfWIFtwwbSfvEk5ovn9vxB\ntRrGjYPRo6GkGPbuFbOqHo/wKT6wX1hTJk48fSvoBYK7qIiqH/4IT1ERAEqjkZTHHsP6peu7D0jv\nJzxOX3jADqDSKLnkth4G7O0W7PZJIq1WuKkMGdp120GKzqhh0b3j2ftxBdveKyXgD/LpP45QXdLK\nvNtyUWsHYFIoMUn45c+eIwZ0ZvMF75oCCPHQXgC3JyrKxTUZPaarQMvOEQkITiZQzBYhhE6cELEZ\nanX3E5/WWBGIX1Mtki0cPiTc8XR9yLYWGyvKCGzaBJdcItIEf771zK2EQ4cKz401a4T1LS4WHCEX\nuaFDhUdHX5g4SbjVxsSEguSLhAvdjTedWTu7Q6cT47SCfCEiHA4Rk9ZXd/ix48Q+Pv4IpkwRWdzq\n6yJCftp0kRRJqxVCMxgUwt/hgMlT+v+8Bgm9/mX973//Y9GiRdx22218+umnpKenc/fdd/Od73wH\ngLKyMmpqaliwIOJHqdfrueSSS9i6dSv33HMPEydO5NVXX6WlpYWSkhLcbjc5OTls27aNDRs2sGfP\nnv4/w3OF1yt8lMvLxU2ou2xYbrdYOgfZtaNWi5u5Viv8G0GIk2uv7xpweD5T8jG0hfx1h82CpDEn\n315m0BF0u8PCw99RgLQ/r6kRfshngMJoRGWxoLSYUZktKC0WVBYL2hEjQoIkF82wYf1eA0OhUpHw\nja9jufwyqn/2GM6dO/FXVXP8nnuwfulLpPz0J6hiT5JeW6US8Scjc0X2vL17xH/e7xeD3cOHxPuT\nJkf7P38BkCSJ5n/+i7rf/AYpFI+gnziBIb/5zYCkDe5I/XEba/4iXJ4AYhL1Pbs8+f3Cpau0RLw2\nmuDqa07tEz8IUSgUTLkyg5TMGNa+Jlzajmytpr7CxvyleaRmDdBvsN1NSibCkSNipr8761FWtsg0\ndeKEuC90J+pSU4W4+eRjMfHRU5rhKVOFtWP1h+J+lDdK3I/aU+P2lksvE9mjVq0UA/Op07q6iZ0O\ni64RWa4+2yjGSgaDOLfTqQo/brzoa7ZvC6UZjhUpfjsKxf4SyAqFCGzfshn+/bYQRbNmi9i0ztt1\n99l2TCa47kvCMrvyffFefLxw6wKRaEKtEdbbnTvEdxgXLybALmB6XQfFYDCgUCh48MEHueWWW9i3\nbx/3338/zz33HN/+9rf5/PPPmTt3LuXl5QztkNv5rrvuoqqqitWrVwPw5JNP8o9//AOj0chTTz3F\n1VdfzdSpU3nppZc4ePAgy5Ytw2Qy8fvf/55Zs2YNzFkPFG1tQoyUl4ssD92Z+RIShRlYpeqaA/9U\nwbtmM1x3/ZmbQQcTjUWwN2SVM6fB9PtAJXdigw3J78ddWCgESGfrR1UVgaY+dnSIWXLNkHTU6elo\n0tLQpKWjTk5GFWNBabaIR4sFldmM0mxGMQj8+aVgkJa336buN78lGHJtUCUmkvrzx4i58spe7kQS\nGXT27oaqqsh6hUIMSiZPHpg6EgOMv6GBQHPzqTcMEfR6qV+2DMemz8QKpZLEe79F4n33DWggPEDB\n1io2rigi4BP36MwJiVxx5+jua5t4PLB2jahPAMLV5eprLohJIkerh7WvHqK6OGK9TB8Zy9SFGQwb\nEz+g1isZGRmZk9FrgaLT6ZgxYwafffZZeN2jjz7Ke++9x+HDh3stUDrzy1/+ksrKSr797W9zxRVX\ncODAAfbv3883vvENysrKUA+CQUkXgkHhM2kLiYuGBiFMuuuc1WoxQzI8UwiTntyyTlXES6OBeZf2\n7Md5PuKxwfbfg9cOKi3MuB9Mp5mlRGbAsG/aRO0vf4W3PYVob1AoUCcmoklPR52ehiY9HU1aunhM\nT0OTloYyJua8HQD5qqupfvzxyOAasFx1FamP/UzEuPSW2hrh+lV+LHr98AwhVPrq3nAOkHw+6n73\nAk2vv97LoM+uaNLTSf/NrzFOPYk7Sz/g9wX47M0i8rdUA0ITXvSlbCYvGN592l27HT5cFbm3p6bC\nVYsuqNihYCDI9pVl7FtXQdAf+f6ShluYujCDrElJZ56SWEZGRqaP9FqgZGZmcuWVV/KXv/wlvO6f\n//wn9913HzabjbKyMrKzs9m5cydTO3QyixcvJikpKSp2pZ2ioiKuvvpq9u7dy+uvv87mzZt56623\nAEhOTubTTz9l7NixUZ9pbGykoT2GowOJiYkkdGNuP63tq6tDqQId4ZSBiSoVCSpVpIJuyDrSaLfT\nYO8UJGY0kjh6NAkTJoi0ih1E1llp//mwfUI8CRXvQ1OxWDHmJkifev60/wuwvbe6msZX/oJz+zbi\nVGpiO7hOKXQ6NGlp2OPjabXGoElORp2UjDopCXVKMql5eSSldR1cD+bz7ev2kiRhX7+e+pdfIdbl\nIlalQmW1kvLIw8Rcdx0KhaL3+29qhL17ady/jwabPbI+KQlGjyFx/HgSuhE+5/r6+GrrqHzoIVy7\ndwPQEgjQHOhqCe78+2mnJRDAd/HFJN7/HVQd0pUORPttTW4+e6uI5honJn0MSUmJXHn3OIbmxXW7\nPS3NIrWn00Wi2UTC+AmijsIFej93tnk58nk1Rbtq0SvNmENxgLEpRqZclUHuzBRaWpoHbfsH8/YX\nZGytjMwA02uBcvvtt3PixAk2btwYXvfYY4/x7rvvcuiQKBiYnp7O9773PX76058C4Ha7SUlJ4fnn\nn+fuu+/uss9LL72UBx54gOuvv55ly5axceNG/vvf/yJJEvHx8WzcuJEJA1iQqwvFxbDlM2HJ6Csp\nKWLWMyNT+A6epzPDZ41jG6F4jXieOgnG3iJfs0FC0OWi8dXXaHzttXBcgNJsJvG++zDOmIFmSDqq\nuLjz1vrR3/jr66l56mlsH30UXmeaO5eURx9BN2JE33bW1gb794rsPe1VlkEEwE6aAiNGDJqij47t\nO6j8wQ/C6YB1o0aRcM/dfYoB0qSnD2jRxXaOHWhg3ev5eLZFTIEAACAASURBVJxCPKVlW7ny7nGY\n43rIHFVVBWtXR+p0jB0ngrwHybUfSNwOHwc+PcGBT4/jcUTEpjlOx+QrhzN6TjqagQiml5GRkelA\nrwXKrl27mDNnDo8//ji33nore/bs4Z577uHZZ5/l3nvvBeDXv/41zzzzDH/9618ZOXIkTz/9NJs3\nb6awsBBTp2I+r732GqtXr+Y///kPALt37+byyy/ngw8+YN++fTz55JNUVFSgO5upB8uPwZpuXNEU\nClGcp7uMW+1VgOW6Br2ntQJ2vQJSEAwJMPO7oD5PU0xeQEiShG3dOuqeeRZfh9gI65e/TPIPHuqb\n69IXkLa1H1Hz1FPhATsaDQl33knivd9C2dcicQ6HCKDPPxydXMBqFcH0I3PPWX0ISZJofO016l94\nMWxJtt54A6mPPdZzIctzRDAoseP9UnavibgnTrx8GLNuyEbVufBiOyXFIsVrewzhzItEZqAvmCD3\nuv3kb65i38cVOFojBRUNFg0TLhvG+HlDuo/ZkZGRkekHei1QAFavXs3DDz9MUVERw4cP57vf/W44\ni1c7Tz75JK+88kqPhRoB6urquOiii9i6dSupqZHCM8899xzPP/88MTExvPTSS1EZwc4KbW2i4m1n\n8WE0nvtiURcKPhds/wO4m0GhEkHxMUNO/TmZAcVTWkrt07/EsXVreJ1+zBhSHvsZxsmTz2HLzi8C\nLS3UPf87Wv7973A8hjolhZSf/BjLokV9tzp5PKIw66GD0ZZdk0nEp7TfozreswZwUifQ1kbVw49g\n/+QTABRaLak/f4zYmwYghecZ4mjx8PHf8qksFPEjGr2Ky74ympypyeK78XgiCUraY/7a2kSmNRDW\nknmXiloeX2ACviCF22vYvbY8nPEMQKtXkZptRWtQozWo0XV6jH6uEs/1ajmeRUZGplf0SaDIyJwR\nkgQHV0DdQfF65DWQcZI6EjIDTsDuoOGlP9O0/O/hLHIqq5WkBx8k9uab+j1l7xcF18GD1Dz1NO4D\nB8LrjDNmkPKzR9GfzoDX54tUpz9VYTSttuski9ks3MRiT78ejPvIEU587/v4KioA0AwbxtBlL6If\nM0BpwSVJ/Ca9HvB4hbuVzxtdxbkHSovsfPpBHW6XsILExylZOAfilPZIcpOTZU3UaESNk6HD+ulk\nzn+CgSAle+rZvaacxkr7qT/QDXqThnHzhjDhsqEYzLLXQV/4033rWfjNcWRPTj71xsCOVWWU7Klj\nyc9nDnDLZGQGBlmgyJw9KndAwbvieWIeTPzaF85tor8Julw4tm3DtW8/Cq1G1Akxh2qFhJ6rLGaU\nMTGozOZw+lZJkmhb9QF1v/41/vY6PAoFsbfeQtL3v39GhQ1lBFIwSOu771L3/O8iaZhVKuLvuJ3E\n++9HdTppagMBOFoER4+KQmsdEnb0isREUfU8J6dPxSFb/vsuNb/4BZJHFFM1X3op6c8+c3oV3oNB\nUV27plpYLDweIT7CS4fXfeyefAEFWyqTOdwYqUuTF9/KvKG1aFSn2JdSKURdXBxMn35epno+G0iS\nRPmhRvI3V+Fo8eBx+fG6/HhdAQL+3v0W1VolY+cOYdKCYZjjBpdb4Lngk+X5HNlWE36tN2lIHRHD\n7BtziEsV7qHONi86k7pn18RO7FhVRuneOm57TBYoMucnskCROTvYa2HHnyDoA12MiDvRfrGrZ58u\nvupq7Bs3Yv90A45t28KDxt6g0OtRWswoVGr8NZEO0TBpEimP/QxDp6x5MmdOoLWV+j/8keY33giL\nCVVCAsk//CHW669DcSaB151TnrenJg+nKbdFAr07kz5ExLKMGNGjW1jQ46H26adpeeffYoVSSdID\nD5Bw9129b7ffLwrN1lRDdbVIrXyGRTu7o96p46NjabR4xLloVQHmD6tlZJxNbKDXd4oh7OQeZzDI\nEyZniN8XwOsK4HX5w8LF4/TjdfvxOPwU766lrtwW3l6pUpB3USpTrswgNsV42sdtqXNSfrCRivxG\nggGJhCFmEoaYSBhiJj7NhHqQB/V/sjwfR6uXBV8fgySJ+jRb/1OMo9XL0sdPT2DIAkXmfEcWKDID\nj88lxImrEVDAlLsgPvtct+q8QQoEcB88iG3DBuwbNuI5cqTrRgrFadWg6LeBsswpcRcWUvvU0zh3\n7QqvOxvCUPJ4cO/cibKqEo3TgbKzoFWpICMDcnIjRWQB74kTVH7v+7jz88VmCQkMef55TBedYsDj\n8UTESE011Nf3bOXRaECnF25pWi3otKDVRV6Hl/Z1mi4iQgpK7N3ayPb1dQRDic/SMowsuGEIllhN\nyOXNIlcxHwRIksSJwmZ2ry4PxwaB+EqzpyYz5aoMkoad2rIYCASpLm7l2MEGyg820lLr7HFbhQKs\nycYo0ZIwxExMgn7QxMN8sjwft8PPNd+OZLQ7drCBD/98gG/9fj4qjbKLi1djpZ3N7xylpqQVlVbJ\niAmJXHxLLlqDSIPdWaBIksSuD4+Rv7kKl81HbIqBmddlMWJipPZYTVkrm1YU0VTtICHdxMzrslj5\nx/18+aHJpI+M45+Pfc64eUOYdMXw8Gdaap3864lt3PLI9F59dzIyvWUQVkGUuaCQgnDozZA4AbIu\nl8VJLwjY7Tg2b8G+YQP2TZu6rdSuSkrEPG8elvnzMc2ahUKnI2CzEbTbCdpsBGx2gnabWNdmI2C3\nEQyvs6PLyiL+63eenquRTJ/R5+Ux/B9/p+2DD4VrXV0drn37OHbTzcTedCOxt92GfsyYfkvfHGhr\no/W992he8SbesrJIO1KSsY7KIyYvF7XJJNzGSkuhtJSAz4ezuQWXy03zuk8ItrUBYJw2jfSnnkQT\nEyMqqnd0yWp30XK7ob4OuvmthrFaRXB/Wpp4jIk5I6uFvdnNutcLwoNdpVLB9GtHMOWqDJSDZPAp\nE0GhUDBsVDzDRsVTU9bKnjXllO1vQJKgeFcdxbvqyBiXwJSFGaTnxEZ91mX3UnGokWMHG6nIb8Lr\n6hpDZEnQozWoaa5xhItOSpIYRLfUOinZE9lWo1MRn24iPs2E3qTpENivQmvUiMdQYL/OqEajV5+1\n35TX7eforloShppRabpOHPm8AVb+fh8pWVZufng6boePT/95hPX/KGDhN8d3u8/9nxxn37rjzL89\nj6ThFgq317D6lUPc8sh0Eoea8XkCfPjnAwwbE8+Cb4zB3uJh89tH6XjGo+ekUbC1OkqgFGytJmmY\nRRYnMv2OLFBkBpaSj6GxSDxPGgMjLj237RnEBOwO7J+so3XVBzi2bevWDUY/dizm+fMxz5+PfuyY\nLlYPdVyc8KGXGZQoFAqsi6/BPH8+jS+/ROPyv4PPR8s7/6blnX+jzcrCeu1iYhYvRjvs9AK03QUF\nNL+xgtZVq5Bcrq7v19bhrq2jdtNmTMOGETM6D0tONiqtFpVGgyU5CQuQcPttoFCg1GqFaPpoTV9P\nFhISogWJ8fTdeDpTsqeOT/95JFzbxJpkYME3xpIyIqbfjiEzcKSOsHL1fRNorLKzZ205R3fWIQVF\nfEv5oUbScqyMnz+UtgYXxw40UlPW2iVBgkIBqdlWMscnkjE+gfg0EwqFgkAgSGuti8ZKOw2VdppC\nj/amiPXQ5wlQW9ZGbVlbr9us0au6zVYWFjbdrleTMOTU7swVhxr5y/dFnTmfN4AlTs/i+yd2u23R\n9hr8viBXfH1MuCbN/NvzeO+FvbTWu7AmGbp8Zt+640xeMJyR01IAmHltFtVHW9j3cQVXfH0Mhdtr\nkIJw2R2jUWmUxKWamLoog3V/zQ/vY/TsdHasKqO2rI2UETFIQYnC7TVMW5TR62soI9NbZIEiM3DU\nHoRjG8RzU3KoGKPsRtQRyefDvnkzbStXYVu/HqlTkVCFwYBpzmxhJbnkEjTJvcvgIjO4UZlNwrXu\nhhuoe+7X2DdtAknCW1pK/bLfU7/s9xgmTSLm2sXELFqEOj7+pPsLer3Y1q6l+Y0VuPbujXpPkzGc\nuNuWYJw2jaDDQcDW1sGSZsNjs+OqrUcLGM0m9NYYFEolqr7UNFEqhStVXHxIjKRCSuqA1Ifyuv1s\nfucoBVuqw+tGz05j7i0j0erlLu18IyHdzIKvj2XmtVns/aiCgq3VBPzChau6uLXL9jqjmuFj4skY\nn0jG2AT05q6ueyqVUlhH0k2MnJ4SXu9x+miscoQEi4PGE3ZaG1x4nf5eBfj73AF87gA09z7uD+A7\nL192ym3Sc2O59I5RIgO208ehjZW8v2wvN/10epeCos21ThKGmKMKZqZmW1EoFDRXO7oIFK/bj6PV\nQ2p2dFKLtJxYyg8J74aWWifx6aYoi01KpjVKExpjtGSOS6RgaxUpI2IoP9yIx+lj5IxUZGT6G/lu\nLjMw2GsgPxRYq9bDxK/IxRhDSJKEa+9eWleuxLZ6DYGWlqj3VXFxWBZeheWyyzHOmI7ybBYrlTmr\n6LKyGPbKy/iqq2n78ENa31+Jp7AQANe+fbj27aP2mWcxzZmNdfG1WC6/DGUHK4SvspLmN9+i5T//\niXYDVCoxz59P3NKlmGbP6lt8kcsFpSXQUA/qUAyHrnNcSKfX6rPTldQea+Pjvx6mtU5YhnRGNfNv\nHyVqm8ic18QkGpi3NI9p12Sy/5PjHNpUKcQAEJdqJGN8IiMmJJCaZUXZy0xWndEZNaTnxHZxHwNR\n7yWckcwdCu7vEOzfnqnM4/KFHiPr258HA6cf0qvWqohJbBcWBi69w8KrD27i8OZKZl6b1fsd9dEL\nra8elqPnpLHub/nMvWUkR7ZWkzUpCZ1BHkrK9D/yr0qm//E5Yf8/IOAFFDDuVjDKKTs9JSW0rlxJ\n26oP8J04EfWewmDAcvnlWK9djGn27HA6YJkvBpq0NBLuuouEu+7CXVRE28pVtH6wCn9VNfj9ODZu\nwrFxEwqjEcsVl2O6aBa2jz/GvnFjVAC6Kj6e2JtvJu6Wm9EMOc0CqAYDjB3XT2fWf+RvrmLjG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BSLvrTpGcCOOSFJbobHLRXNFN1bZ2GvbZ5G8oYOY5Ocy5KA+VenxM9xQEQRDGFpGgnGy8PbDz\nRZBC8kKM074NprRoRzVqbP96Ede6dQDELbsY83nnRTkiQRgdoUCYtlo7TRXdNFf20FLZg88d7LdP\nrEXH2deUkFFkiVKUgiAIgnBkYorXySQcgi1P9nXsKrkM0k+JakijyVdZKa8W7/OhSU8n743/oTKZ\noh2WIBwXfk+Q5qoemiu6aa7oobXGTqh3+tah9LEa8qclcuqlE9Abx0cdmiAIgjB2iRGUk0nl+33J\nSfrscZWcSH4/jbfdhuTzgUJB+n1/EMmJcNKRJImKL9rYurKOjnoHQ11eMiXoSZ8QT9qEONImxGNJ\nNYgieEEYZ9rquqne2cLcCyYds2PuWl+DwaQnf6qYOi0cXyJBOVm07Za7dgHEpkHRRdGNZ5S1/+1h\nfHv2ApBw/XUYZs+OckSCcGy5un2serGMmh0d/b+hgIR0I2kT4iNJSaxFH50gBUE4Ks5uDzvWVGOy\nxDBlQd4xOWZihhlLSuwxOdZQvvhgP2l5VtInJBzXnyOMPyJBORm4O+TFGAHUepj6rXHTThjAvWkT\nnU8+CYCupJikH/wgyhEJwrEjSRJ7NzSz/r8V+D1yTUmMSUPxaWmkTYgnNT9OTNsShDGurbabtDwr\nbfXdeBw+YkxfblFhKSyhVClRqsZGI4wD1QZipFc4QCQoY10oADtehJBPvl3yNTCMnysZIYeDxttv\nB0lCodORcf/9KLTaaIclCMeEvcPDJy/s6+vABUycncKCr08kJlb8ng/F43Swf+N6yjauw+t0oDMY\n0RkM6AxGtL1f+/4Z0Ea+H4s+NpYYk1mcKAmjJhwK097Yw5T5uYSCYVrrusktTYl839HlpmpHi5y4\nmHVkFyez99M6Sk/PIS7RSE+Hi93raymel0X9vnZcdh+T5mQS8IWo2tHCvAv7pnjZWh3Ul3XgtntR\nqpSYrDEUzc5CqVQMOhpyuCldu9bX4HMHqNndSs3uVgBOW1ZCW133gJ97IMbZ5xWh0aoi+xTNzqB2\ndxsep49piwowmHW01nbTVNmJz+VHZ9CQkmshvWD8wMOvMwAAIABJREFUnNcIMpGgjHVlb4KzWd7O\nOQOSS6Ibzyhr/f3vCTbJzz/5ttvQFRREOSJB+PKksMTO1Q18+r8qgr4QAMZ4HYuuKCJ3amKUozsx\nBfw+qr7YxN51q6jeuplwKHjkBw1BrdFiSkzClJiEOTEJc2Jy73Yy5sQkYhMSUWvEqJVwbHQ02dEb\ntBjMepKy4ijf3EBOSTIKhYJQMMzez+qxJMcycVYGfm+Amp2tgx6ndk8buaUp6GO1qNRKbC1ODs6z\nba1O9n1WT0ZhIhNmpIME3e1O5GK2kSfkk2ZnsW1VJSk5FlJy+3cGHE5+L4XDNJR3UDA9DbVWjVav\nprXGRn1ZO3lTUjHG63HbfVRua0ahVJCWZx1xjMLYJRKUsaxps/wPID4XCs6Jajijzf7OO/S88SYA\nxgULsHzriihHJJxMAv4QFZtbaatxEGPWYrLqMFn1xFr1mCx6VJrjM3XC1uLik+f30VzZE7mvZH46\np102AV2MeMs+WDgcon7XTvauW8X+zzfg97j7fT/WYiUpJw+fx4Pf7cLnduNzuwbsd6hgwI+tuRFb\nc+PgOygUGOMtmBOSMCUlk1FUTNGpCzDGi/bNwsi11XWTlBUHQFyiEaVKSVezg4R0M+0N8vtAwfQ0\nlColBpOOjMIQ+78Y+LuZNSmJ+OSha04ayttJyDCTPSk5cp/BfPRTydRaFQqFApVKiVY38vcmSYL8\nqWkY4/pq5urLO8gpSSEh3QyA3qDFO9FPS7VNJCjjjPi0G6sczbDvDXlbGwtTvglKVXRjGkWBlhaa\n77wLAFV8PGn/93sxJUM4Jrpb3exa28i+Dc0D1hE5mMGslZOVgxOXg/7pjOoR/U6GQ2G2flDHprdq\nCAXldsHmRD2Lvz2JzEnig/kASZJoq65k77pV7NuwBpetq9/3tTEGCuedTvH8RWSWTEY5yPuiFA7j\n93rwuVz43Af+ufG7XXgcduydHTja27B3tmNvb8Pd031oELhsXbhsXTRXlFH+6VpWPfckOVOmUzx/\nERNmz0MbYzieL4NwkvA4/Tg63RTOyozcl5QZR2tdNwnpZjxOHwaTrl8tickSM+ixYuMHv/8AV4+X\n5OwTZ9FmhVLRL0EK+IL4PQEqtzdRub25b0dJOpoBHmGMEwnKWBT0wo5/QTgIKGDyN0BnjnZUo0YK\nh2n6+R2E7XYAUu/+HZrk5CM8ShCGFg5L1O7sYNfqRur29D/hVWuUBAdZX8Rt9+O2+2mrGfyYap0K\nk6U3eUmQR11MVh2mBD2xFj1Giw5V70lHR4ODj5/bR3udQ36wAqYuzmTesgI0uvFz4eFwHJ0d7F71\nIXvXraKrqaHf91RqNXkzTqF4/iLyZ85BfYQ6NIVSGalBGY6g34+jsx17Rzv2jjYcHfK2o6ONrqZG\nnF2dSOEwNdu3ULN9C2qtjoJT5lI8fxG502aiUouPWmFwbbU2JAm+WFkeue/AhCufJzCiYx2LgvhD\nO5dL4aNYKk/BgBbogx1HqVT0u4hzYI+CaemYrIdPtoSTn3jXHGskCfa8Cp5O+XbBErCOr7qLruee\nw71xIwBxl12KecmSKEckjFVuu5+9G5rYtaYRZ5ev3/cyiuKZsjCT3GmJSGEJp82Hs8uLo8uLo8uH\no8sbue3s8kVGPQ4I+kLYWtzYWgafTqRQyHUlxngd7bUOwr0f4JZUA4uvLCatIO74POkxRJIk6nZt\nZ/vKd6jYvBEp3P81ziyZTPH8RRTOnY8+9vi1U1VrtVjSMrCkZQwaY1P5PvauW0XZp2vxOuwE/T7K\nNqyhbMMa9CYzRacuoHj+ItILJ4mRXiFCkiTa6nvIKUnGktJ/3a79Wxppq+smJlZHe30P4VA4koA4\nbJ6j+nnGOD097S5ScgafiqjRqQl4+5KicCiMx+nHGDd0sqBQKDh0vW+NVk04FCYUDKNSyzG7erxH\njE+rk+tQvC5/ZMqbMH6JBGWsqVsPbbvk7YQiyF0Y3XhGmbesnPYH/gyAJiuLlDt+EeWIhLFGkiRa\nquzsXNVA5ZY2wqG+D1etXkXRqWlMPiMDa9pBV9dVEJ9sID558Gk7UljC4wzg6OxNWGzeyPaBBMbr\n6n81VJKQkx6bnBgplApmnpPNKRfkotaM71ETr8vJnjUfs23lO9gOGS1Jys5l0vxFTDp9IebEpChF\n2EehUJBRVExGUTGLr76B2h1b2btuFRWbNhL0+/A67Gxf+TbbV75NXHIKk05fRNFpC0jMyhHJyjjg\n9wbQ6gdvqGBrcRIMhEjJsaDW9v+bT8ww01JjY/riAur2tlG5rZmMwkT8ngCN++W1kEb665NZmMi+\nz+qp29tGYmYcSBLd7S5Scy0oVUriEg201fVgSTWh0apo2N8xIPk4lN6gwd7lJskTQKFSoNGqMVli\nUKmV1O5pJb0gAVePl5Ya22GPc0DWpCSqd7ag0iixpMTKF4d6vPg9QTILRYOQ8UQkKGNJdw1UvCtv\n6+Nh8uWgGBs9zo+FsM9H0223IQUCoFSS/sf7UMUOb4qGcPKxtbio3dU5YOTicEJBiapt7XQ2OPvd\nn5BhZPLCTArnpKDVj/xtUZ5LrcVg1pKSN/h0S783eMgojJy4OLq86AxqZl+QR1K2adDHjhdtNVVs\nX/kOe9Z9QtDXN6Kl1mgpOv0Mpp9zAakFE6MY4eGp1GryZ84mf+Zs/F4PFZs2snftJ9Tu2IYkhelp\na+Wz11/hs9dfQW8yk1FUQuakEjKKS0nOLRBTwcY4SZLwuvzYO93YO904utx4XQFOWzZ4d83WOhtx\niYYByQlAQrqZ2j1tOLrcFM/Lpmp7MztWVRFj0pFVlETZpgYUypF9/ltSTBTNyaK+rJ2mik6UaiVm\nq4HU3uLzzImJ+DwB9n1ej0qlJLMwEb/38N3wsiYlUbWjhS0fVhAOS5y2rAS1VsXEWRnU7m6lra4b\nc4KB7OLkQQv7D5WSY0GlVtK4v5O6vW0olUoMZh2peaIBxXijkI6UHgsnBr8TPvsb+OygUMHs74E5\n88iPO4m0/uE+up55BoDEG79P0g9/GN2AhFEXDoWp3iHXihy8NsjRUKoUFMxMZvLCDNIK4sTV7CgJ\nBgLs/2w9295/m6byvf2+F5+SxrRzzqd00dnExI7d5M3VbaPs07XsXbeKloryQfdR63SkTywiY1Ip\nGZNKSZ84CY1eP+i+wolBkiRcPd5+CUmgty34wYZKUI5WV7ODfZvqmb1UXlNEEE5Gw05Q7rrrLu66\n665+96WmptLU1BS5feedd/LEE09gs9mYO3cuf//73ykp6fvDvPXWW3n22WeJjY3l3nvv5Yor+trC\nrlixgvvvv581a9Z82ed08pHCsPVp6KqQb09aBpnzohvTKHN9+il11y4HQD9lCrkv/guFWIdg3HD1\n+Nizronda5twdfuO/IDDiLXqKJ2fQcn8dAxmsdhhtDg6O9i28m12frwSj72vpbJCoSR/1mymLzmf\nnKkzRnyV+Hjye9y4uzpxdXXitslfPd021Ho9RksCBmsCRmsCBksCMXHxKFUDTx5tLU3Ubt9KY9ke\nGvbtxtnZMejPUqpUJOcVkFEkj7Bkl04ddlG/cHyEwxKOrt5kpNONw+YZcgRXpZYXQTQnGMgs/HJT\nEdvqutEbtWhj1LjtPqp3tmCM0zNpTtaXOq4gnMhGlKC88sorrF69OjInUaVSkZAgr+553333cc89\n9/Dss89SWFjIXXfdxbp16ygvL8doNLJixQq++93v8vbbb1NWVsby5ctpaGjAarXidDqZMWMGb731\nFkVFRcfv2Y5VlR9A9cfyduo0KP36yCefjmGhnh6qLl5GsLUVRUwMea+9ii4vL9phCceZJEk0V3Sz\nc3UjVVvaI0XkANoYNcWnplF6RjrmhJF1e1GqFWK0JMrKPl3L+489RMDbV+wbY45jypnnMO3s8zAn\nRbcrXygYxNPdheugZMTd1dkv3iNRKJXExFsGJC5agzHy+ydJEvb2Nhr37aZxn5ywdDXWD3o8pUpF\nZnEp+TPnkD9z9qAF+8KxF/AF6W5z0tXqpLvVOWRCotGpMScYIv8MZt0xe59p3N9BS42NgDeIRq/G\nkhJLTklKpABdEE5GI0pQXn31VXbs2DHo99PT0/nhD3/Iz3/+cwC8Xi/Jyck88MAD3HDDDdx///1s\n3bqVF198EZBHX95++21mzZrFD3/4Q5KSkvj1r399jJ7WScTeAJ8/AkhgTIbZN4L66BdWGmskSaLx\n1ltxvPseAKl33YXl65dHOSphOEIh+YNcNcLWl35vkPLPWti5upGuJle/7yVmxTJlYSYTZ6eI9rtj\nUCgYYM0LT7Pl3Tcj96UXFjP93AuYOPf0qK3OHgoE6G5qwFZfg72lSR7ROcJHY2TUxGIl4PXi6urA\n09N95MfpdBgsfQmL/NWKSiOP5rntPTSV7aVh324a9+2mrbqScGjgtCFLWkZvvcscMiaViPqVY0SS\nJNwOH7YWJ7ZWB46uwZNSvVHbLyHRGTTiwocgHEMjekerqqoiIyMDnU7H3Llzueeee8jLy6O6upqW\nlhaWHNTuVa/Xc8YZZ7BhwwZuuOEGpk2bxhNPPEF3dzeVlZV4vV4mTJjAxo0bWbVqFVu2bDnmT27M\nk8K9izFKct3JlCvGVXICYF+xIpKcxC5aRPzlX4tyRMJwVG5p44On9xAKhFFrlWhj1Ohi1P2+aiO3\nVZHttmo7+z5rIeDtOyFTqhVMmJXMlIWZpOSZxUnAGOXo6uCtv9wXqTPRG2M57+afkD9zdlTi8Trs\n2OprsdXX0N3ciDRIEgDySIjBYh2QVGhiDAN+F8PBIO4emzwNrHfUxWXrJODuazUd9PmwtzRhb2nq\n91i9yRwZaYlPTCTj4svQf+tagn4/jft2U7V1M5VffI69vRUAW3MjX7zdyBdv/w9tjIHcaTPJnzmb\nvBmnYDCLFq0jEQ6F6elwYWuRR0r8g6w/otIosSTHYkkxEZdkPKpmGoIgDN+wR1Def/99HA4HkyZN\noq2tjbvvvpuysjJ2797Nvn37mD9/PrW1tWRm9hVuX3fddTQ1NfHuu3Lnqd/97nc8//zzGAwG7r77\nbs4//3xmzZrFo48+ys6dO3nwwQcxGo089NBDnHrqqcfnGY8ljZ/D3tfl7dxFMOHcqIYz2gKNjVQt\n+wphpxNVQgL5b76BundKoXDiatpv440HtxEOfrn+GyarntIz0ik5PZ0Yk6gVGctqd27j7Yfuj9Sa\npORP4KIf30FccsqoxSCFwzjaW7HV19BVV4vb1jlgH4VKRVxqOrGJyXKy0FtL8mXrYAJejzxV7KDE\nxW3rIhw6fIckpUrdmxxZ0Zvi0BqN+L0emir2U719C01le5GkQ6YcKRSkTSwic1Ip5sRkzEnJmBKT\nMCcmiRqWQ/S0u2iq6qSn3dWv3fgBMbFaLKkmLCmxmKwGlEpxcUQQRstRd/Fyu93k5eVxxx13MHfu\n3GElKIf6v//7PxobG7nxxhs5++yz2bFjB9u3b2f58uVUV1ejHs9D1n4XfPoABDygi4PTbgXV+DlJ\nk8Jh6q66GvfmzQBkPvoIpsWLoxyVcCSdTU5e/9MWfO4gSqWCaWdnEQ5L+D3ByD+fJ9T7Vb4dOmSV\n9uxSK1MWZpI9OUGcEIxxUjjM52/8l/WvvBA5kZ569lIWX/2dI672PuBYkkTA4x6wWOORHuNsb6Wr\nvhZbfS1B38DF4rQGI5asHCxZucSnZ6IapWlmUjiM12HvV3Dv7urA67AP+xiaGIM8JcnpwNbSjNth\nx+fx4Pd68bhdA14rncEYSVZMicmYD9qOT0nFGD8+WrlKkkR9WTsNZf0bFCgUYE40YkmRR0piYsfP\nZ64gnGiOOgMwGAyUlpayf/9+li1bhiRJtLa29ktQWltbSU1NHfTx5eXlPP3002zdupVnnnmGhQsX\nkpyczJIlS/D5fJSVlVFaWjrgcZ2dnXR0DOx6kpiYGCnYPyn2r1wJAQ+ddg8dqadBRfXYiv9L7u/4\n+GPaNqwHwHT++SRPnTpg3xM5/vG4v6vHz8ond+G2+zHqzSz73jwmzUs74vFDwTBmYzyxhjg0OhXG\nON1h9z9Rnq/Y//D7+1wu1rz4NPW7d2LUaYkzmTj7+hspXXjWsI8fDoWwtzTRVVeDrb6G1uYmepyu\nAfvHxRqJG2Ql+R6nc9D903NyyS+dgiUrF2NCYmSqVtRez5wCsmfOASAU8OO2yQX6jTVVNNbW4rX3\nEPL3da878HwDHnnqmFatJiUzK/J8DYApGKSnqxNbWxthrxujVoPP7cJX56KjrgYAl8+Py+ePHNeS\nlk5WyRSmnb6QkrlzUSr713mdyL9vw92/uamF2l2t2HtXY1cqFeQVZlMwKZu4JGO/RVKPVTzRbv7z\n3iN/xeO0c8nPfjPsxzzwjYu4+Md3MHHuacctrtH4GWPZQ1d/jbOWf6/fe+bRGouv9VGPoHi9XvLz\n87npppv45S9/OWiRfEpKCg888ADXX3/9gMcvXryYW265hWXLlvHggw+yevVqXnvtNSRJwmq1snr1\naqYOcVJ60uuph02PAhIkTITp146rrl1hr5fK884n2NyMKimRgnffEwsynuB8niCv/2kLnY3yAohz\nl+Vzynm50Q1KiJrWqgpW/OVeetrkeon41DQuvvUXJOUcufue3+OO1IbYGusJBwbWA4yUUqPBkpGF\nJSsXS2Y22jE41SkUDOBzOvE5HfhcvV8P2vY7nQOne/VSqFQoNFrcXi/2jnbsHe04OtrxuQcmbwfo\nTWbyps8if+ZscqfNRG8cmACONQ6bh7JN9fg98tS6mFgtRbOzMJijV9vptvew4d//onrbF7i6u9AZ\njCRm5zJn2VfJmTL9mPwMv8eNJIHOYBj2Y450Qhvw+9j46suUb1yHs7MTjV6PJT2TGUsvZNJpZwzr\nZ7h7utEZY0WDhyEcKUHZ8J8X2f/Zeq7+09/73e9x2Hnkhm/x9d/cS2bJZGBkr/W/77qDxOxczrz2\nu1/+SXwJw/6tuO2227jooovIzs6mtbWVu+++G7fbzVVXXQXALbfcwr333ktRURETJ07k97//PSaT\niW9+85sDjvXkk09itVpZtmwZAPPnz+e3v/0t69evZ9u2bWi12qhfcYgaKQxlBxXGF108rpITgK5n\nniXY3AxA8o9+JJKTE1woGOa9f+yMJCelZ2Qwa2lOlKMSokGSJHZ+vJKPn36MUG9iMWH2qSy98ZYh\n6x8kScLV2SHXhtTX4GxvG7iTQoE5NR1LRvaIFy/UxZowp6YPuibJWKJSazDEWzAMMQ1LCofxezz4\nnA68jh551KmumnAohBQKIYU86IH4/AKSliwlqaAIpUYTSVZaqyuo3rKZ5spykCS8Djt7137C3rWf\noFAqyZxUKncNmzUHS1rGsJtVhIIBfG43PreLkN9/5AccTKFAq49BazCgizEcdS2QJEm01Nio2dkS\nabKWkG5mwvQ0VJro/l68+cA9hAJ+ln7/R8SlpOGx91C/Zydep+OY/QxtzPATk+H68PGHadq/jzOv\n+S4JWdl4nU6a95fhdTqHfQxDXPwxj2vcGeLvUEH/+6PxWoeCwS+VfA77kQ0NDVxxxRV0dHSQlJTE\nvHnz2LhxI1lZ8kJBP/vZz/B6vdx8882RhRpXrlyJ0dj/Q6mtrY177rmHDRs2RO6bNWsWd9xxB5dc\ncglms5kXXngBnW58dauKaNwE9kZ5O+cMMCRGN55RFmxvp/PxxwHQFRURd8klUY5IOBwpLPHxc3sj\nq7rnTk3kjG8Uik5b41DA5+Wjfz7G7tUfAnL3qzOuuIZZF14y4PdBkiS6G+vprKnEVl+Lf5Ar+Wqd\nHktmNpbsXCwZ2ajH62fCMCmUSnRGIzqjEXNKKskTigj6/XTWVNJeWU5Pc6OceNh7qN+6mfqtm4lN\nTCapoJDMSSXkz5zNqZd9E1e3jeptX1C15XNqtm8l4PUghcPU79lJ/Z6drH7hKeJT08ifMZsYkxmv\n24Xf7YokIX63u999Qf+XW1i17wnKyYrOYERnMKA1GNEbjWhjDAPv672tizGi1sXQUuPE3hlAqdah\nVCrILU0hNd865PtUOBTC53Hjc7l6n9NBz8/rwRhvISk7l7iU1AHT4EbC53bRWLaHr/3q92SVyjNG\nzIlJpORP6Lef1+Xkk2cep+qLzwkGAqQXFXPmNd8hITM7sk9T+T7Wv/IczfvLUapUpORP4Pwf/BRj\nvGXAFK+abV+w8fV/01lfCwoFqQUTWXT1DSRkDH/hx8otn7PwyuvIm3FKb9zJJOfmD9hv84rX2PHR\ne9g72jGY4yk5YzHzvyFf2D50lMbZ1cmq556kdsdWANKLill09Q1YUtOBvhGDuZd+nfUvP4/b3k32\n5Gmc870fERNrivzM3as/YvNbr2NrbkRvjCV32iyW3nhL72vuZvUL/6Ry82cE/T5S8iaw8MrrIq+5\nz+3mo6cepXbHVvxuN7HWBGacdxEzz7t40Nehu7WFVc89SUtFGX6PB0t6Bqdf/u1+3QmfuPk6ppx5\nDo7OdvatX4PWYGDmeRcz+6JL+47T0sz7/3iQlv3lmJOSWXjldcP+vxiMRP/JUYe+1p/+9yV2rfoA\nV7et9zWaydIbf8x7j/yV+r27aNi7m63vv4UCBdc//CTmxGQa9uxizb+epr22Gq3BQPH8hSy44tpI\nEvLvu+7AmpGFRq9n9+qPiEtOITErB3dPN5fc/tu+2CSJJ25ezqzzv8KsC5YN+RyGnaC89NJLR9zn\nN7/5Db/5zeHnOCYnJ1NVVTXg/ttvv53bb799uOGcnPxOqHhf3tbHQ96iqIYTDe0P/Y1wb0vOlNt/\nhmKMX/U82W18o5Lyz+VpPCl5Zs65vlQUto8zTlsXVVs2sfW9FZHaBmO8hQt/dHtkesEBAZ+XtvK9\ntOzdNWgxuMGSgDVbLlg3JaWcUKvIj0VqrZaUwmJSCovxu120V+2nvbIcV0c7AM6ONpwdbVR/vp64\n1HQMFitaYyyp2TnklExGfX0MrdVVVG/dROWWz+lpbQHkk6mD17IZFZKE3+PG73HjGNiAbXgUCrR6\nA7tWGtHFyAmNWqvF73Hjc7sjiUhgkGYKg1FrdSRmZZOYnUdSdg6J2XkkZucMu82zRq9Hq9dTufkz\n0otKhlwH6L1H/oKtuYmv/Ow36IxG1r38HK/e81uWP/g4ao2Gtpoq/nP3LyldeCaLrroBlUZL477d\ng66fAxDw+Zh1wTKScvIJ+rxsfO0V/vfH33Htnx8b9kijMc5CzbYtFM6dP+TUsbUvPsOOD99j0dU3\nkFlcisfhoLWqYvCY/D7+/btfkDGphK/fdR9KlZrNb73Gf3//K67982ORpho97W2Uf7qOZbf9ioDX\ny1sP3sf6l5/j7OtvAmD7B++y6tknWHDF1eTNnE3A66V+d9/6fa/94U70sbFc+vM70Rlj2b36I/5z\n9y+59i+PYYy3sO7l5+isr+PSn99JjDkOe1srbkfPkK9DwOshf8YpLPjmVag0Wso2rOHNP9/DVX98\nGGt632KqW955g9O+9i1mX/xVqrdu4uNnHidzUilpE4uQJIk3/vR79CYTV/zfAwR8Xj5++nHCwaOb\n3nqkyo3yz9az+a3XufCW2yMJRPP+MgAWX/MdbM2NWDOyWHDF1SBJxJjjcHZ18tof7qRk4VksvenH\ndLc2s/Kxh1AoVSz89vLIsfeuW8XUs5fyjbv+CEh4nU5eufPnuLptkSYctdu34O7ppmThmYeNU0z8\nO5FUvA/B3kWhCi8cV127ALxlZXS/+ioAsQsXYjxt7BRzjUc7Pmlgy/t1AMQlx3DBTVPRaEVCebKT\nwmFaqyup2vI5VVs2DTjhyCyezIW33N6vI5Szo43mPTvpqNrf76RJoVIRn5Yh14Zk5aA3mUfteYw3\nWoORjMnTyZg8HXe3jfbKcjoqy+VEUZLoaW6UR1kOoVAqMRtjmbv0QlAocXbb6Gioo7WmkoDPBwol\nao0GlU4vj1oYjP1GNOT7YtEZDKi1uhHNWJYkSZ625nZF/vl7RzJ87t4RDo8rklwMdUJ+0AHxe1z4\nPUPX3oxE0O+jpXI/LZX7+91vtFhJzMohKSePpOxcSs4Y/ERMqVSx9MYfs/Lxh9nx4Xsk5eWTUVRC\n4bzTSZsgT3O3tTRR+cXnfOPO+8iYVALAeTf9hCduupa96z5hyuJz2PTmqyTn5kdO0oF+J8eHOrSu\n5Nzv/Yi/XXs5zRXlZBQVD+u5L/nOzbzz8AM8cv0VJGbnkF5YzIRT5pEzVa6bCXi9bHnnTRZf+51I\nDUVcciqpBRMHPd6+9asjsRxw9vU38uh3rqRqy+cUzpsPyO8/S2/6MVp9DABTz1oaGbUF2Pj6K8y6\n8CvMPL/vyvyBkZ26XdvpqKvm+0+8GEkGT7/8W1R+8Rl71n7C7IsuxdHZTnJeQWRExZyYdNjXISkn\nr19t3dxLLqfyi8/kkZ5L+haVzpk6g+nnXgDAjKUXsfW9FdTt2k7axCJqd2ylq6mB6x/+JyarPGtm\n8dU38PKdR75o39lQx0NXD1wf7tApXgdzdLQTa7GSM3U6SqUKU0Ji5PnqDAZUajUana5for1t5dvE\nWhM4+7rvA2BNz2TBFdfw4RN/5/TLvx1JIOOSU/olLPK+Gexe/RFzln0VgF2rPqRg1tx+o16DEQnK\niaKnDprklrokFEFSSXTjGWWSJNF23x8hHAaViuSf3RbtkITDqNzaxtp/lwMQY9Jw0Q+mi5acJzG/\n10Ptzm1UfbGJ6q2bcHXbBuwTYzIz7ZzzOfWyb6JUqQgFg3RWV9C8d+eAupKYuHhSiyeTPHESaq2Y\nujXaDPEWcmbNJXvmHBxtrbRXlmNvbsTrcgxoSnCgHfLBI15WqxWr1TrguEqNBrVGi0qrRa3VodZq\nUWl18u2D7u//VYtK03f7aKeHSpJE0OfD43RSvbOOlqpWQn4vwYAXs1WNwayMJDd+t0uewuV2EfT7\ne6eJHTRVLOaQqWK9SZfWYECrj6GnrZWO+hqZBDxBAAAgAElEQVTaa2voqJP/eV19tRcuWxcuW1dk\nqtJQCQrAxDmnkT9zNg17d9Ncvo/q7VvY/NbrzP/GVcz9ytfoaqxHqVSSVthXl6szGEjMzqGzoR6A\n9tpqJs4Z/tpx3a0trH/leVoqynHbe+Qr7hI4OtpgmAlKZvFkrv/bkzSXl9FYtof63Tv47z2/ZtrZ\nSzn7+pvobKgjFAySXTptWMdrq66kp61lwMl20O+ju3fkDuSE4UByAnIy6O6RRzjc9h6cXZ2R6XKH\naq2uJOD18cj1V/S7PxQI0NMq171OW3I+K/58L61V+8mZOoOCmXMGjAQfLODzsuE/L1K9dTMuWxeh\nUIhQIDCgIciht+W4uwHoamog1poQSU4A0iYWDetvIT41ncvuuJODB028Tgf/+uWtQz6mcN58trz7\nJk/cfB25U2eSN30mBafMRaUeusV6V2MDaRP714ZnFJUQCgbpbmkiMTsXYMD0RIApZ53L9pXvMGfZ\nV/E4HVRu/oxlt/3qiM9NJCgngsiK8YBSDUUXjbvCeNfatbh665IsX78cXUFBlCMShtJc0c0HT+0B\nCdQ6FRfePI24pJgjP1AYU3raWqjasomqLZuo372DUHDgooJJOXnkz5xD/szZpE6YiFKpwmvvoWXf\nblrL9xD0HVR/oFCQkJNHavFk4tIyRZ3SCUChUGBOScWcIi8HIEkSIb8Pn9OJ1+nA73LgdTrwOZ34\nnQ68LgeB3im4gwkHAvgDAThMd7AjUUUSGTlxGclnoRSW8PlUBEggNiELjVbNhJkZWFMPf6V2pIzx\nFtILJ/X9XEnC2dVJR10N7b0JS3tdDV2N9Uce1UFugJAzZTo5U6Yz77JvsPIfD/Hpf1/sV6MwmKP9\nG3r9D3diSkxiyXduJtaagFKp4ulbvz/o3/jhKJUqMiaVkDGphDnLvsrG115hw7//xZyvDLyifyRS\nWCI5N58Lb7mdQ2co6Q9qIa48pOhaoVAM2b1u4M8IY4yP5xu/++OAn6GNkT/D8qbP4oZHnqZm62Zq\nd23ntfvuoujU+f1Gdg62+vl/UrNjKwuvvA5LShpqnZ53H35gwGt56NQ5BYojTsUaDpVaTVxy/+U8\nPEfo1mZKSGT5X/9B3c7t1O7cxuoXnuLT/77EFff8Gc0ILxhJSP3+RjW6gU1MShacydoXn6WxbC+t\nVRXExMWRO23mEY8tEpQTQcNn4GiSt3POAMP4Wi1dCgZpve+PAChjY0m8+eYoRyQMxdbi4u1HdhAK\nhFEoFSy9YTLJOWJazolMkiTcXZ2DFqIPtm9rVQVln66ls6E2cr8pXu4Ao1RpSM7NI3VCIakFhf2m\nAHRWV9FeUYbtoMcBaGJiSCkqJXVSKbqToFXtyUyhUKDW6VHr9BgTBm/QEg6F8Lmc+F1Ogj4vQb+f\nkN9P0O/r3fYRCvj73X/g63AW2QwF/IQCfvxfahZWIwqVFkvBRDQqC5IUe1wTYoVCgSkhEVNCYqRo\nHOQOZl1NA6fNHYk1I4twKEQw4MeakYUUlmgq30fmJHltOJ/bTUddLZMXnwPIU5jqdu3g9K8f+dge\np4Ou5kbOvuEmskqmAHJb8HD4yInUkRwosg94vVgzs1Cp1dTt2k58atoRHgnJeQWUbViDPtY8onbI\nBzOY44i1JlC3a/ugLZpT8ibg6ukGFMSnpAx5nJhYE8ULFlO8YDF502fx9kP3c/b1Nw3akaqxbC8l\nC85k4mx5BCvo99Pd2ozlMFPsDmXNyMLZ1YmjqyMyitK8v+yYJDBDUak15M04hbwZpzBn2Vd59LtX\n0rRvrzztS60mfMjfqjUji/KN6/rd17BvN2q1hviUw///6mNjmTjnVHZ9spK26qphr+siEpRo8zvl\nRRkB9BbIXRTVcKKh+z//wV9ZCUDi97+HepCpA0L0uXp8rHhoOz63fGVo8beLyJk8vpLpscRj76a9\nopz2ynK89qGLPAeTlJxMUnLykN/3trdS09562GOYU9NJLZ5MQk7+mG/xK/RRqlTEmOOIGWYh+MHC\nwSDBwMDERf7qJxTw4ep20d3aLRcISyFgBCdpkgRBBxBGCvlpK99NW/lu9OY4kgoKSSooJGYU262q\n1BqSeqe+DMbjdPDWX+5l8qIlJObkodXH0FK5n80rXiNnynS5xXJqDAWnzOHDJ/7O2TfchM4gF8lr\nDQYmnb4QgFMuupSXfn0bHzz+MNPPvSBSJJ87bSamQxJNvTGWGJOZnR+9j8maiKOrgzX/ehrVCP9G\n/33XHUw6fSEp+ROIMZnpaKhl3cvPYc3IxJqRhUKhYMb5F7P2pWdRqtVkFk/G67DTWl3BtCXnDzhe\n8YJFfPHW67xx/92c9rVvYUpMwtHRTsUXnzF9yfnDSnIA5l1yOaue+ycGczz5M08h4PNRt2s7p1x4\nCTlTp5NRVMIb99/Ngm9dizU9E1d3FzXbt5AzZQYZk0pY/+9/kZJXQEJWNuFgiPLPNhCfkjZku1xL\nWjoVmz6l4JS5KFUqNv73JUIjLG7PmTIdS1oG7z78ZxZddT1Bv49Vzz854v+T4dq9+iPCoRBpEwrR\n6GPYt2ENKrUaS5rcLS0uKYWWinLs7W1o9HpiTGamn3M+W959kw+f/DszzruYntYW1r30LNOXXhip\nPzmcKWeew6v3/pZwKMTFP/nFsOIUCUq07X8Pgr0dQ4ouAtXQcwBPRiGHg/aH/gaAJjMTy7e/HeWI\nhMH4vUHeeng7ji75d3XORXkUn5Ye5aiEQ/k9bjp6OzUNup7IcabUaEguKCK1eDJG6+GTV3neuyQ6\ndY0jSrUarVoNg6zLEfCHqNnZgs3RA4ZUFIA5wUB80sjWwYqJVRF0tQ7SWnkT9Vs3RVorJxZMPC7r\ng4yEVq8nbWIxW95bQXdLM6FAgFhrAsULFvcrsF5644/55JkneOP+3xMM+MkoKuGyO34XKfROzs3n\nq7/6PetefpYXf/1T1GoNKQUT+7W6PUChUHDRLbfz8TOP8+xtNxOfmsbCK69jxZ/v6b/fYYqsAXKn\nz2LP2k9Y98rzBLxejPHx5EydwbzLvhEZrTrjimvQG2P57LVX+LDr7xji4ik9qB7n4J+h0er4+l33\nsfbFZ1jx1z/gd7sxWq1klUxFFzv8kddpS85Hpdaw+a3XWfvSM+hjTeRN7xvVuvTnd7Lulef54PGH\ncdu7McTFk1FUErmqr9ZoWP/K8/S0taLSakmfWMRXfvbrIX/eoquuZ+U//sYrd/4cvTGWmedfTPCQ\nBGXQwbuD7lQoFCy77Vd88I+/8dKvfoopMYmFV17HO3+7f9jPe8DhD/n/O/i2zmDk8zf/y5oXniIU\nCpGQmcWyn/wSc5J8UeqUiy7hvUf+ytM/+T4hfyDSZvjSO+5kzQtP8cLtP0JnNDJp/qJIy+ihn6gs\nq3QqJmsi5uQU4pKHHr3qF/PRriQvHAPdtbD5MXk7cRJMvzq68URB25/+ROeT/wQg469/wbx0aZQj\nEgDCoTDt9U6aK7ppruihqaIbr1N+0y2Zn86ibw2vgE84/kIBP5211bRXlNPdVM+hk6uNCUkkFRRG\n6gxAnoZQuXkje9atxmPvjtyvMxgpOu0MCued3q8QdVgUCmLiLMO6mha2ewhsq0dy+1FajSiTTSiT\nTCiNx65gXgqECNs9KGK0KA2igcOJrLPJTtWOZgI+eZqRSq0kpzSFlJz4L/U+43O5Igm7q7O9/zcV\nCuLTs0jMn4ApOZUYc5xIlgXhOAn6/fzj+1dz1vLvRUb+jkSMoERLONS/ML7woujGEwX+hga6nn0O\ngJgZMzCde26UIxq/Av4QrVU9NFf20LS/m5ZqO0HfwDnJOVMSWPhNsRBjtIXDIbob6mmvLKerrprw\nIQWZOpOZpPyJJE0oxBDfN2XS63Sy9f0VbHl3Rb+uTLEJicy+8BKmnHnuiFdqH6lgg43g7kYIy4lU\nuNNJuNMJe5tRGHUok02okkwoLEYUI1hTR/IFCHe5CdtchG0uJHvfWhaqgiTUE1JGdDzh+PN7g1Tt\naKaruW/VdEtKLPnT0tDFfPnZBDqjkYwp08mYMh13dxftlXKy4uttrdzdWEd3o9wqXaFSYYi3YrQm\nYLAkyF+tCVEfZRGEsUySJDz2Hra8+yZqnY7CU+cP+7FiBCVa6jdA2Qp5O/8syD87uvFEQeOtt2J/\n510Acl9+iZjpA4vahGNPCku4HX7aauw0VfTQXNFNe62DcHjwtwJjnJa0ifFkFlmYdGoaKrW4yjja\npHAYl60Te0sz9tZmepobCHr7Lyan1ulJzJ9AUkEhpuTUfkmkq9vGF2//j20r3yHg9UTut6SlM3vZ\nVylZsPiwLSaPyXMIhQnubSJU39eiWJliJtzjAe8gc7bVSpRJcrKiTDKh0PZdT5MkCcntlxMRm5tw\nlwvJ7T/sz1fExaCZlnVMR2mORjgUxu8dWbckFKDRqVGpTo6/PUmSaK/voWZXC8GAXIyr1qjIm5JK\nYqb5uF4AkSQJR1uLvA5MVQXBIyzKqNHHYLAmYLTICcuBBEbUVQnCkdnb23jiB9dhSkjk3O/9aNDm\nBUMRCUo0+Bzw6Z/l2pMYK8y7ZdzVnri3bqX2m3IvcvMFF5DxwJ+iHNHJIxgI4ezy4bB5cXR6cXZ5\ncdh8kW2nzUcoOHQ3nfgUA+kT4kibGE9aQTzmRL0YMRll4WAQR0cb9pYm7K3NOFpbCAUGnoArVWqs\nOXkkFRQSn5mFUtn/pCkcDrH13RWse+X5fi1/k3LzmfuVy5k499QBjzkuz8ftJ7C1tm9UQ6tCMz0b\nVUKsnGw4vITbHYTaHEjdg7exVVgMKK1GJJecmOAb4iRfoUARFyNPHTPpCVa1Izl6f65KibokDVWG\nZdR/pwP+EC3VXTRXdhEMHF3HJI1OhTZGgy5Gg87Q+/WgbbVWdcL/rfrcASq3N9Hd1temKyHdTN6U\nVLT60Z3UEQ6HcHV24O7qxGXrlL92dR4xaVFptMRnZGHNziU+M1uMsgjCcSASlGjY/R9o3iJvT79a\nrj8ZRyRJovYb38SzfTsKrZaCd99BkzH8lnxCfw1lNvasbaSnw4ujy4vHfvgryQdTKBUkZcWSNiGe\n9AnxpBbEYTCL+fqjLejzYW9rjoyQONtbh2zJqtHHYE5Nw5qdjzUnb8iaj86GOt5/7EGa95dF7suY\nVMrcSy4nd9rMUTuRDbXZCWyvh96kWBFvQDsjG4V+8Isyki9IuENOVsIdjsjjhqRSorQYUFqMKC0G\nFPEGFAeNNEihMMHyFkI1nZH7lKlxaErT+43KHC9+b4Cmyi5aqm2EQ8Nbr+FoKVWKSNISa40hPT8B\ntfbEuNIvSRKtNTZqdrdFXgeNTk3+1FQS0k+cVuWSJBHwuHF1deK2yQmLu6sTd3fXkH+TpqQULNm5\nWLNyMVgTTsgkcf+ajwj4vJQsuSDaoQjCsIgEZbS17YEdz8vbicUw/arD738Ssr/zDo23/gSAhBtu\nIPknQ694KgzN0eVl/X8rqNxy5G5NhjgtJqsek1VPrFWPyarDkmokJc886lctBfC5nNhbDyQkTbi7\nOofcV28yY05Nx5yShjk1Hb057rAnQKFgkE1v/JeNr70cWSwsPiWNs2+4aUTD61+WJEkE97cSquwr\nTlblJqAuSht2LYgUluSakjYH4XY7kssPWjVK64GExIjCpB/W8ULtDgI7G/pGXvQaNFMzUSUcn7VZ\nvC4/jRWdtNV1Ix00fdIYpyclJx7lCKZrSZKE3xvE5wngcwfwewL4PAHCocN/fKs0SjImJpKWZz1m\nUzODgRAt1Tba6mwE/cNPuCRJ6jdym5QVR97k1BMmgTqScDiEt6cbZ0cHtsZauuvrCPp9A/bTGmOx\nZuVgycolLj1zyPa0B9u/5iPa9u+L3Fbr9ZiSUsmdcxqGeMsxiT/oly9cDaeJhSCcCESCMlokCerW\nwf53AUkujD/1x/IUr3Ek7PNRdd75BJqaUFmtFKx8H9UIWggKEAqE2fphHV+8WxM5QVBrlaTmx8lJ\nSIKeWIv81WTVERuvR6U5Oeaun8ikcO9UJYcHpTkGpVnugiVJEp6e7t6ERJ6y5TuoQP1QRmsi5tQ0\nzClpmFLS0RmH32a1taqC9x97kPbaagAUCiUzL1jG6Zd/a9AVfo8XyRcksL2OcGfvNB6VEs2UTFRp\nI187o99xgyFQKY/6CrXkDxLY2UC4ra8oW5WfhHpi8jHr4OSye2nc30FHQ///Y3OCgczCROKSjMfk\nCrskSQT9oUjS4utNWnzuAB6HD4+zbyRVq1eTVZREcnb8UTcK8HuDNFd10lJtO+wU0SPRxmgomJ6G\nJXlsv+9L4TD2thZsdTV01dfg6bYN2EepUhOXnknJOYcftdi/5iP8bheFC5cgIeF3u6j5fMP/s/fe\n4XHd553v57TpBZiG3gsJ9qYuy3KTZVmWu53E3mRvNrtJnjhOcu9mnd313U3ZJHeze/c+6RtnvYlL\nlMQlcuQmybJk2eqU2EmQAIneZ1BmMP2U3/3jgAOABEiApAiAnM/z4BnMmZlzftPO/L6/932/L8Vs\nhgMf/Zm36imUKbOpKS+d3gwsA7q/BeNv2tdlDXb91G0nTgBmvvxl9LExAKKf/WxZnKyTgZMJXvxa\nL8n4YqFzx6EY9360HV/lzZuAbkVEXsfojyOKJrLPhRRwIftd4FSvacIoTAtrLouYzdjuUXNZWJLC\nk/daTBYmSE6NLitMX4oky/ijVQuCpBZ/VTWqY/1F3EaxyCvfeJzD3/6nUhpKuL6R9/7Sr1HTsW3d\n+7serNkMxaNDpUiF5HOi7W9C9l1/cbqkXt9qu+RQ0Q40YQ7PYHSPgyUw++JYibRdQH8dY5yfyTLS\nm2B2Ir1se2WVj7rOCIHQja1TkCQJzamiOVV8FcstoYUQzE6kGeyeIjdfoJg3uHB8nNHz0zTuiBGu\n8a/5M5/PFhk7P83U4NwyIw1PwEkgvL7n5HRrVDdXomhbI2pyJSRZJlhdS7C6luY77yWfSjIzPMjs\n8ADJ8VGEZWGZBrPDA2vbn6Kgue330eH2ULtzL93Pfg/LNClmM7z5ta+w94OfwBeJlh7z0hf/nO3v\nephwcxsAQ0cPM9XTTTGXRXU4qaxvpOMBu7/HpSleJ7/3LTwVlagOJxPnTiMhEe3YRsud95X2b1km\nQ2+8RryvF6OQx1MZovHAXVTWNwK2SOt/7UWmB/rQC3kcLjfR9k6aDtld1acHLjB09DD5ZBJZVfCE\nImx/x3tLz7NMmStRFihvNcU0nPg7mBuwrzuDdlqX//ZrcmdMTzP9P/8KAGdHOxUf++gGj2jrkIxn\nefHr5xk4kShtC9V6eeCTndRtuzEpALciwrJIJ6Yo9E/ingEFe5V86fqvYenk9Aw5I7twaf9ZYvkq\nsSKp+ByBhb8gHs2HLK2+6u7KyNRZMSQlSxxboCiag0BVdSllyxeJIa8hBeRKjJ49w9N/9SfMjo0A\ndqfvOz/0ce768CdLjdxuBkIIzMFpjLPjpebfcm0F2s46pE3k/CZJEmpjGDnkRT8+jEjlEakcxZd7\nUbtqUerXXkAvhCAZzzDSmyCVWF7cH6kLUNcRwRu8+QsHkiQRqvFTWe0jPpxk6OwUxZxBPlOk5/AI\nvgoXTTuqCF6hCWJ2vrAQCUoua63jD7mp64hQWeXblLUWG4UrEKR25x5qd+7BKBZJjo0wMzywZoGy\nFKNYJNHXi3epW9hVXutE/wXGTh5j2zsfwlMZRs/lmJ+auOJj4hd6qd25hz0f+CiZ6QQ9z//AbmTZ\n2gHYoqYwP8+2dzyEw+NldniQ7me/x97HPo43FGbs9HFmBvvZ9s734vT5KWbS5JJ2X6ViLsu555+h\n+Y57CTe3Yuo68/Erj6dMmaWUBcpbSXoCjn0J8guN0IINsOdfgNO/sePaIOJ/+qdYGTvlI/bvPod0\nnROz2wG9aHLkqUGOPjNUSqtwuBTu/EArux6su2VsR28UpqEzPzVZSqfKJ2Zp8LUQdC1GK3WziKYs\n5mGrsobfWYHfWbFsXwUjR1bPYFo6XkcAt7b6ZC5vZEkXkqSLKfJGjmp/AxWuMKqs0hhspzbShtQW\nxtNUc12pREIIxFwWK5XH9Cq89J1/5OhT3yk1Z6xqbeehX/wssebWaz7GtWBlChg9k1gTSXuDJKF2\n1aA0hjbtJFb2uXDc3WbXyfQnwBQYp0ax4vNou+quWkBvFE0unBhnenQxlUuSJWINQWrbI7h9G5/r\nL0kSscYKInUBJgZmGelJYBRN0nN5Tr88SEXUS+OO2LIITHo2x0hvYllvEoCKmJe6jgiBsGfTvqeb\nBdXhINzcSri5lbVm0c8ND/HKl78AgKXrOH1+djz06OIdrrKfQmYeh8dLRW0Dkizj9PqWRVtWwlNR\nSeOBOwFwByqYPHuG5NgI0dYOcqkkib7zHPrkz+L02pkONTt2Mzc2zMTZ07Td+wCFdBpXsIJAVQ0A\nTq8Pf8xuCFvMZBBCEG5uxemz5zyeytsva6TMtVOeIb5VxLvh1D+AuZAHXL0Puj5y29kJX6TQ28vc\n174OgPf++/G9be3Nem5HhBD0HYvz4td7Sc8sFmJuv6eaez7cfks6bQnLwrLWZ79q6hcFyRipiXEy\niThiIfIR9dTQEtqLItunOd0qMutMI6JOJEtHNWRUQ0Yz5dL/EosTL6fqxqlenoogEBiqRVGz0DUT\nXTOxZIAAbgK4JQk5EAStAgaTkC2i6hKcnUFPmmjba1Z1sFoNK53HHJvDGksicvY5RQhBaN6F3xsk\nW8hw78c/xaFHP3zT+jOIgo45lsQcn0Mkl6SwuTQc+xuRKza/9aqkyGjba5AjfvQTw1AwsCZTFFI5\n+zkEV34OyUSG3iOjFHN2GpusSFQ3V1LbFsZxAxoM3mhkRaa2LUyssYKx89OMXZjGMgVz8QxzL/QT\nrgsQqbVFTDKeWfbYcK2fuo7IZWlkZdbGWsVcoKaW9vvfAUJgFAuMd5/i9FNPsuexj63p8ZGWdsZP\nn+CNr32FiroGKusbCTW2XPF84A2Fl113eL3oOfu7nJmOgxAc/ebjLJVGwjQJ1tYDEOvYzumnnuTN\nr3+VirpGKhsaqaxvQpIkvOEIFTX1HP2nv6eirpFgbT2RljY0V/lzVGZtlAXKjUYIGPwxnH8aO89B\ngvb3QtMDVw3R3qoIy2L8P/82WBbIMrF/95sbPaRNzfRYmpe+3stw92LRZbTRzwM/1Ul16/UVGa8X\nIQQUDERORxgmklNFcjuQrpBDbhSLFNLzFDNp9EIes1jE1IsYhQKGXrSvFwsYRft/o2hvt/QVmvVd\nA07FTVNFJ37nkteqyot3Vxf+K6yKX2z+Zxe65xEX/4oGcsCNVOm13aMqPGuuhRANMcz+BMaFKbAE\n1niSwtQ8ansMpTl8xWiKyOuY43OYY3PLuqJfRJIktrcfoKN1L1bMg29PK9JbLE6EbmJNpmyxNJ2+\n7HY56kfbU39T7HtvJErEh3x/B/qpUazJFOR0iq/02T1TGhajQJYlGD4bZ7R3MdWysspH277aLeGG\np2oKjV0xqltCjPTEmRyYRQiYHk0tjwRJEG2ooK49jNu/sY0tbxdkVcXlX7Rbbr//Hbz6lb9m8txp\nqjp3LGxdlAqXWh47vT4OfOxTJMdGmBsbZuD1lxk+epg9j318VSexlc4/4uIxhABJYu8HP3GZyLqY\nluqLRDn0yZ9lbnSIubERen/8Q7yhCLve90EkSWLn+x5jfmqCudFhpnq6GXzjVXa//8OXCaMyZVZi\n859RtxKmDmefgPGj9nXFAbs+CdEdV37cLc7s3/89uSN235fKT38KV2fnBo9o82GZFgMnpjn5wggj\nZxeFidOrcvcH29hxfy3yNbrvXAlhWoi8jsgVbRGy8D85vXR9pdQCIUtYKpiSSVEUKRg58vk02WyK\nXH4e3Vp7L5YbgiThC0epCTbhz7uRLg7ZraHtqkOJXD2tUpIkJK8TvE6U6hsjBCVFtsVIXQX62XGs\niRSYFsa5CcyRGbvmIbo4NqGbmJMprFUEwGRihJ4LR5lMjHBg9wO0Nu5EkRWURIHCC+dQWyIoLZHr\nLiZfirAsrHjaFiVTKbCWfx4ktwO5tgKltuKGFMJvFJJDRdvfiDkwjXFu3F7JPj2GNZdF21lHPqfT\n++Yo6TlbLMqyRNOuKqqbb37Tx+vF4VJp3VNDbVuYobNTJccxWZGoarIjQU7P5osE3W5IgGWYpahD\nMbtY55Sejl92f1lRqGxoorKhibo9Bzj8+N8wPzlORV3Duo/tDUcXjpkhWLN6nzJF0wg3txFubiPW\nsZ0TT36DXGoOd8BOmfXHqvHHqmnYfwdHvvm4XVtTFihl1kBZoNwoCvNw4quQHLKvuypg78+Cv2Zj\nx7XB6KOjxP/f/wGAVldH7Nd+bYNHtLnIJAuceXGM0z8ZIzO3xFNfgl1vq+Oux1px+a5/oiB0s2SB\nW4oQZHUortKN+ypIlkAp2kXnDlz4cIGjEhYyz4SwKJpF8kbWLjrXM+TNHIZsIjs0FIcDVXOgOJyo\njsVLWVFhHXM9SZLwhiL4PBWY3ZPLUo2UpjBqZ9UNnaxfK5LbgWN/E2YijXFmDJEpIDJF9DcGMKsC\nKDVBzInUigIgOT9Nz4VjnOs7RjKVwOF2s+OBd1H/gXfi0HwYPRO2na9pYZyfwhiaRm2L2Sv/11ij\nJIRAzGYxx+YwJ5Jwaedzh4JSU4FSU4FU4d5yE/TVkCQJtSWCHHRTPGY7kVmjc2QTGc5lLfILL4Mn\n4KTzYB2ewNZ2znN5HXQerKeuPc/8bI5wjR/NWZ4WbATCNCnmbAFiFAqMnzmBaRhUNjYjqyr+WDWj\nJ47g8gcwigUG33h1WVbGVO9ZhGXhi1ahaBqJvl4kRcEVuLbFFnewgmhrB70//iHNd96HLxLFKORJ\njo/i8gcJN7cyeuoYDrcXbziCJEvEz/egOJw4PT47cjI2QkVdIw63m/R0nGImU65DKbNmymeiG8H8\nGBz7MhQWCkSDTbD30+C4vS10hRCM/4izEzQAACAASURBVPbvYC2s+lT/7u8gr6Onw62KEILx80lO\nvjBC35H4MutOh1tl+z3V7Hqgjsrq9b9WwrIQmaVpSjms+QLk15E+5VSR3BqWAvOpBMnEBAUjhykM\nNNmJQ3XiUJw4FFfpUpWXn0okScapunCqLoIs+UGSQPI6kfy2xe/FS1zatVn9WhbGhTjGycFSpEfy\nOtB21SOHNt9n7WIqkTmYwOidAtPCmkzZaUVLyBdz9Jw/Sk/fMSYTwwBEGpp49yc+Qdf9D+JwL9ZG\naHe0YCXSGD0TdipY0cToHsccSKB2VCHXVlzxtRUFAyudt92s0ovpbZcKJRQJuSpoR0rCvmvup7EV\nkENenPe1UzgyBHNZlILONhkGLRl3a5imrti6Gi1udrxB14a4jZVZZG5shMN//7eAHZVwByvZ/s6H\nCVbbjp/tb3snF158nuNPfh1XIEjbvW/n5HefKD1ecTgYPXGUgddfxhIWnopKut71vmVpY0tZy7e3\n44F3MXz8TQYPv0whm0F1OvFHqgjW1C+M08HoyaPkU0mQ7KjLzvc+iqyqKA4n85PjjJ85iVks4PD6\naNh/iGhbOYOizNooN2q8XuJn4OQ/gLUwAaw5CF0fshsx3uYk//mfGfvcbwEQ/MhHqP2D39/gEW0s\nxbxBz2sTnHxhlJmxSwpR633sfnsdnXdWoznXt+JvZQqYF+JYqRwiXbiq2wuqbAsDrxPJpSG5HeC2\nLyWnSmY2wcjxI0wPXFj2sGBNHb5IDKfPv/Dnw+n1ozqddoRmhVQxMZ9HZApwtbPMwpgkt2NdERSR\nXHjOABIoLVHU9tg1Rw5uJiKvo5+bwBqzXf5My6R/+AzdPW8wMnYeS1jIikLHXfex76FHqNu+88pC\nQ9g1LkbvJCK7mGIn+V2onVXIYR8iXVgmQqz5/GJn9ZWQQI74UGoqkKsCmyIadbNIxjP0vjlCxNCp\nVhY/wEpLBLWz+pYWaGXKlCmz0ZQFyvWQOAfHvwzCAiToeB803n/bFsMvxUgk6Hv/o5jJJEo0Qtt3\nvoMSvLkF3puFmbEMp14Y4exrE+j5xVQZWZVoPxhj99vrqWoJXFMEwcoWKb56YeVJ5qXRCp8LObBy\ntEIIQWpijJHjbzI3OrzstnBzG/V7D+CLxNY9PliI6qQLy4rPrzoxXieS34W2ux45uPkdYrLJOeKD\nA8SH+kkMDaJPp9BTaYbHejEMe6HDF46w910Ps/td78Vbsb4+N8ISdiPCC1Prf401pRTZkvwulFgA\n6TZL+bEswXD3FKPnp0vb6kJOqvJ5WLD6lio9OPY1rtuNDex0S2RpS4joMmXKlNkoygLlWpnth6N/\nY0dOJAX2fAqiXRs9qk3DyG/8BvPffwqAuj/5YwIPPbTBI7r5jJ+f482nBxk8Ob1suz/kYucDtXTd\nW3tddsGiaFB8tc+OUGCnpUhBd0mMSD7nVSdBQghmhwcYOX5kWVMvSZKJtndSt+cAnnVOkNcz/pJo\nSeexUrZj1nqQZBmltgKlNXJd/UXeCvRigZmRYeJDAySG+okPDZIYGiC70MhsJRp372PfQ4/QdvCu\n67YLFoZlp5L1xUsT6xKSZH8+Lk21c6q3TD3JtZBJ5Tl/ZIxMcqEQXpFo3lVNVVMFIltEPzpkp78B\nOFQc+xqQwyun8gpL2LVGlwrzvA6yhLqtGqUpfFu/3mXKlCmzGmWBci2kRuHNvwazAJIMuz8Fsdvb\nqWsp888+y8hnfhUA/0MPUf8nf7zBI7p5CCEYPjPDm08NMta7fCLauDPErrfX07QrfN2OXMK0KL7e\nj5iz63uUlgja9rUbMgjLItF/npHjR8jOLgooWVGp2tZF3e79peZaZa6MsCxSiSnigwMkhgYWBMkA\ns+NjpZ4sq+HyB4g2NlPd1sGud7yH0EJ/gRs6vqKBOTyLMMzF6IjXWU5RWsL8bI7RngQzE4vNCb1B\nFx0H6/AssdkVpoVxZgxzZMFpTwK1sxqltmKZCBHz+TWlW8rVQbTddbdV6lyZMmXKrIWyQFkvmSl4\n4wugL9QQ7PwE1Ozf2DFtIsxUir73P4oRjyMHArR99zuo0St3s70VsCxB39E4bz41QGJ40R5WViW6\n7q1l37sbqIjdmMZ1Qgj0o0Olwmq5Joi2t2FNK7HZuRni53uIX+ihkF6cjCkOBzVdu6nZuWdZAXaZ\n5eQz6WUixL4cRM/nrvg4RVUJ1TUQbWwm0tRCtKGJSFML3oqtZ1F7qyCEIJXIMtKTIJlYXhNW2x6m\ncXt01UJ4Y3gG48zY5UYCqyGB5HEiBWxxaI7MlowrJK8TbX+jHcEqU6ZMmTJA2cVrfeRm4cj/XhQn\n2z5QFieXMPXf/htG3PZnr/qt37rlxYlpWPS8PsGRp4eYm1z0qNecCrseqGPvuxvwBm9cbwghBEb3\n+KI4CXnRdtdfcZJbyGRI9PUSv3COzHRi2W2ay03trr1Ud+1CdWzdHhZvBdlUktGzp5k430NieJD4\n4ADzK/QeuBR/OEq0qZlIo/0XbWymsqZu1WZpZW4uQghmJ9KM9MRLPU1gSXPCjjDuq/RzURtCyAE3\n+tFBRO4ShzyniuxzIQVc9qX/8nRLtSmMfnwYK5FGZAoUXzmPtqsepbbihj7XMmXKlNmqlCMoa6Uw\nD2/8FeQW0mFa3wOt79zYMW0yMq+8wtD/8fMAeO+9l4Yv/q9bdnVYL5qceXGMYz8YIj272L/E6VXZ\n+84Gdj9Yj8t74xudGX1xjHN2rYjkc+K4u23Fru5GscD0QB/xCz0kx0Yuu90XjRHr6CLWsb08cWZh\nNT0+yUj3aUbPnWG0+zQzK7xuS3G43UQamok0NhFtbCHS2ESksRmX9/a2F9+sCEuQGE0y0jtNbn7x\nO1tqTtgexule33dW6Cbm2CxYLAqSNZoKCCEwzk9hnp8qbVOawqjbqzddPVWZMmXK3GzKAmUt6Dm7\n5iQ9bl9vfJvt2HWLTr6vBSubpe+DH0IfHkZyu2n99rdx1K/efXarUsgZnHx+hOPPDZNPL66ceiuc\n7Ht3Azvur8Xhemsm/ObYHPrxBYctl4bz7jakJRMqyzSZHRkkfqGHmaEBhLm8uZ4rECTa1km0rRN3\n8PZeqRWWRWJkiNHu04ycPc3o2dOkZ6ZXvK8kyVTW1pWiIRcvA9HYLSvAbyUs02JqaI7R89MUsovf\nWUWTqWkJUdMa2tDmhGZ83v5eLzTDlIJuHPsbbcvtMmXKlLlNKS+dXg2zCMf+dlGc1B4qi5MViP/J\nn6IP25Pn2G/8+i0pTkbOzfLs35xZ1vE9GHVz4L1NbLurGkV761Y9zUQa/cTCir4q4zjUXBInhfQ8\nw8ffZLrvPEaxsOxxmstNpLWDaHsnvsjtPaHWC3lOPvcDBk8cYfTcGQqZzIr3U51Oaju2U7d9J/Vd\nO6lp34bmKtcHbDWEEIz3zTDaO42+xG5ZcyrUtoWpaq5EXSH6eLNRon7k+9opHh2y+/okcxReOo+2\ntwEluj6jCmFaiFQOay6H5NKQq6/NvrxMmTJlNppyBOVKWAYc+xLMnLevx3bD7p+ynbvKlMidOMHA\nT/00WBbuvXtpevzvkK7TInUzYRoWrz3Zx9EfDJUaDobrfRx8uIm2A7HrduS6GlYqR/G1PtsqVpLQ\n7mhGWbA2zc7NcPr7T1LMLk62ZVUl3NxGtK2Titr62z5dxDQMTv/oWV75xuOkZ2cuu93tD1C3fYct\nSLbvJNrcWk57uwUY6Ukw1L2YPuX0aNS1h4k1VmzKLvDCtDDOjmMOLX5G1Y4YStvqCwtCN7Hmsliz\nGayZLCKZXVa4LwVcaDtqkSu9b/n4y2wu4l84gVbtpeKxtuu6T5kyG0X5V3g1LBNO/eOiOAl3wq5P\nlMXJJYhikfH/+HmwLCRNo+b3/8stJU5mJzL84H+fIT5kO16pmsx9H+9g59tqb8rKpMgVKb4xUOpj\noe2pL4mTdCLO6aefxMjbhb4VdY3EOrYRamxB0W58/ctWQwhBz6sv8dI/foXZ8dHSdn84SsOOXdR1\n7aRu+05CtVc2GSiz9UgmMiVx4nCrNHXFiNQFN7W1sqTIaDvrkCs86KdGwRIYvVNYc1m0PQ1IDhVR\n0LFmFgTJbAaRyl9xnyKVp/hqH0pdJeq2KiRn+bywWSmOppn686M4GgPEfmnvTTlm+F/sAGXxOzH+\nX1/Hd28t/rfdOLtzYzbPxB8dJvaZ/TjqyvV5ZdZOWaCshLCg+wmYOmVfDzbZjRjl8st1KYm//msK\nvb0AhH/5l3C2t2/wiG4MQgjOvDjGi1/rxdBtcRBp8PHQv9pJZfXNWY0UummLk4X0FHV7dcnlJzU5\nwZlnvo1ZLALQePAuGvYduinj2goMnjzGTx7/EpN9vaVt/kiU+z7xabre9iCyfOuI6DLLKeZ1et6w\n0yFlWaLrrka8wa2ToqfUVSJddAjLFLHiaQov9iIpMiJbXPVxkt+FXOlBrrQbtppjc5h9cbAE5ugs\n5mQStaMKpTG8qYXa7Urm8AS+u2vJHJlCj2fRoqvbvQtTICnX/x7K7pswp7mBOTrCtK7afLjMrUM5\nxetShICe78LwS/Z1Xw0c/NeguTd2XJuQQm8vfR/5KOg6zs5OWr7xdSTH1i/szKWLPP+Vs/Qfty15\nBSYdByUqY0nGes4wMzrC+s66EuH6BloP3EnL/kP4KkNXfYQwLYqHBxCzduqW0hRG7apBkiTmxkbo\n/sF3sQxbuLTcfT+1O2/OittmZ7LvPD9+/G8ZOnmstM3tD3DXhz/J3oceQS1Hlm5phCU4/fIgqWnb\n8rttXy1VTVvTEELoJvrJkZKl+DIkCSnoRg55F0XJCvU0VraI0T2GNbXY80jyOVF31JYisaX7Fk1k\nR1m4bwRCtxj7/deI/fIe5n8yiuxRqXikFViMQIR+ahuZ1ycoDs0TfKQF3z21FIZSpJ4eoDg8D7KE\no95P6JPbUPwO4l84gVrlQXapZF4fB0nCcyBW2i8sT/GKf+EEhf7ksnHV/+HbACgMpkg+NYA+Mo/s\nVnHtCBN8XzPyEnOJ+R+PkHl9AmMuj+J14DkQI/jeZkb+/U+W7dPZEiT6b/Yw87VzWDmDyM/tLN2W\nenaQ7MkE1b9xEICZr/dgZXScLQHSL48hTEHt5+9GmBbJZwbJHZvCyhqo1V6C72nC1Vl5Y9+YMhtK\nOSSwFCGg/4eL4sQTgQM/XxYnKyBMk7HPfx50HWTZTu26BcTJ8JkZfvA3x0jPDGIZo0iMI8xxTj27\n+srlWpgdH+X84VcBqGrtoPXAHbQdvJNYc+tlNSJCCPQTIyVxIlcHSuJkZmiAs889ZTt0SRLt9z9I\nVeeO6xrbZsA0DMZ7zpKem8EfihCIxvBWVq450jE7PsqL//hVel5Z/DHUnC4OPvphDj36YZyecvPJ\n24HB7qmSOIk1VmxZcQIgaQra/kbMwWnMgWkkrwO50oscsiMka1lJlj0OHAebMadSGN3jiGwRkS6g\nv96PWRNE21aDZQimHz9LcTCF/4F6Ag81lSMsN5nsyThqpROtyov3QIzpx88SfLhl2fuQfHqQikda\n0D7mQ1IkiuMZEn990hYCj7YhqRLFgRRiSQ1S9mgc3321xH55H8XxNDN/fw5HnR/P3sv7k4U/3cXk\nHx/Fe0cV3rtrStv1iQyJL54i8FAToY91YGUN5r7Tx+w3egl/qsse21P9pF+boOLRVpwtQaysTnHU\nblgc+5V9TP35MSI/vwutxrv4uV0lrfbSzYX+JLJbJfLzu0rbZr7egzmTJ/TT21ECTvLnZkh8+TRV\nn9mPdpMyHMq89ZQFykUyU3Du24s1J84gHPhX4CjnTK7E7Fe/Sv74CQBC//Jf4t69e4NHdO1kk3MM\nnz7FG997hcm+swhzitUiJP5wlKrWdtR1iDGjWGT07Gly8/ZK6GRfL5N9vbzyjcfxVoZo3X+I1v13\n0tiyHbkgsOIprAn7vlKlx84/lyTifb30/uhZhLCQJJmOB99NtLXjup//RpGbTzFw7E0uHDnMwPE3\nL3PVkhUFXyhMIBLDH4kSiMQIRKLL/i/ksrzyjcc5+dwzCMtaeJzKnnc/zN0f+STeivKK2u3CzPg8\nY+dtq2hPwEnLnuoNHtH1I0kSanMEtTlyXftRYgHksA9zIIFxYQpMgTWepDCZIjtSpDiQAQHzPxpG\nn8wQ+qlty1bHy7y1ZN+YxHOgCgBnawWSQyF/Zhr3rsX33Xdv7bLrye/1o9X6qPzw4m/ApWlhWpWH\n4HuaAFAjbjKvT1C4MLeiQJE9GsggORUU3+Lv2/yPR/DsjeK/f8GZMwwVH2xj6k+PYmZ0JE1m/sUx\nKh5rxXvQfg6EXDjqbQc6eaEfmOzRlu13rUiaTOXHOkspbcZ0jtzxONW/dSfqQhNk3z215HvnSL82\nTuUHb4008zJlgQJGHvqes6Mmwp7g4PDb4sS1dVff3kr08XGm/vhPANAaG4n+6mc2eETrJzk1ydmX\nXuDsyz8mMTSw6v3C9Y3Ubd9B/fad1HXtJBCJXdPxLMtk4nwPfUcOM3m6GylnEKqsJlJZTShQTUXc\njTU9jLX0MU6ZbEyG0SGSo8NMnLEFoSTL1O45gKRqpbFLskIgFkPbxN3ghRBMDw/Sd/QN+o68zti5\nswhhrXp/yzRJxadIxadWvY8kyYv7kCS67ns7937i01RUbf3JaZm1k88U6T1iGyEoqsy2O+pRyrnq\ny5AUGbUthlJbgX52AmsiCZbAU6vhrPCTGSliJnX0wTmmv3iCig+2oQSufD6RvI7b3iXwejESOQoD\nKUI/vb20zbM3SubwxDJBcmmBeXEsg3tX+Ir71qqXCxbF78Bc0r9rLRRH0xjTebLH40u22gt4xnTO\nNhgxLVxtb818SavyLKu3KY7ZkZnJ//HmsnVEYVo436IxlNkYbl+BIgRMHIPe70PxYn6uBPV3Qdt7\nQCunhKzG5H/9I0TWTqOo+Z3fRnZvjRS43HyKc6+8SPeLP2Ls3JkV7iHj8NSw7e4DtB7cR922Ltz+\nwHUdU+gm5kQSkcwRnncQCh2Ee/df8TGmaTA22c9zL32TdCZJdWMTzdvtNC7TMDh37E1eeeq7lz1O\nkmQqamqJNjQRaWpe6G7eTDAau6ZJhGWZpGdmmE/ESSWmyKfncbg9ODwenG4vTo8Hp8eL0+vF6fEi\nr+DeZhSLjJw5yYUjr9N35PCKYsPp8dK89wCtB+8k0tBEenbaPmZ8ilQizvx0nFQ8Tnpm+jJBc/F6\ny76D3P/TP0esufWy/Ze5tbFMi3OHRzAXnO7a99fi9m1eob7huDTyc5A7nsbb7kb1KigehUCnG1g8\nl5snhjBX34uNU0Vtr0KpryynhV0jmcMTIATjf/j6ZbeZycW+VtI11AddlgYoSfbcZz0IgfeOKtvZ\n65LHKkEn+vjK/aSuPjguS1QQ5uVju+x5C/uxsc/su+wzt1IdVpmty+0pUObH7HSuuYHFbcEm2P4Y\n+Gs3bFhbgfRLLzH/1FMABB55H9577tngEV0ZvZDnwpuv0/2T5xk4fgTrku7qkhxGdnQga/UcfPhO\n7v7w9huy8iqKBsZAAnNwumQRvCIuDbwO5nNzjA71cvbEq4wPX8BamHjXtrTS2LENAEPXOXvkDdLJ\nuZWPKSxmx0aYHRuh57WXSts1l5tIQ6MtWJqaiTbY3dAVVSW1ID4uipBUIl76f346UUqbWguq02kL\nFrctXBSHxuSF8+iFy61QK2vr7TqcA3dQu23Hsr4jq4kMyzRJz0wvGW+cfCZN24E7qd+xa8XHlLn1\n6T85QSZpf8Zq2kKEa69vUeFWRugmM9/sJXfMXg1PnsoSel89UnIezLV/10sUDIzTo5gDcdSO6nJj\nyHUiLEHmyBTBh1twbV+ejjrztR4yb0ziObBy1N5R66VwIbnibdeKpMhwycfAUevDmMyihlZ2wlNj\nHlBk8ufn8IUvX6wsiSTrEnHj1S4TN2sRO1qtDwRY80WcreWIya3M7SVQ9Cxc+AGMvEZJujv8dmf4\n6n3l7vBXwSoWmfy9/wKA5PEQ+9znNnhEK2OZJkOnjtP94o/off0V9Hxu2e2+cISq1kMMn40iq1E8\nAQcP/cJO6m6AA4jIFTH6E5gjM7B0NUiRbRtQv2vZ5cUVHxcQ5QB7xSeYGuhjbmKMzNQEuYQdcZAU\nlWhrJzWrWAkbus7M6DDxoQESQwPLIhV6Psd47znGe89d9/O7EkahgFEokFmhGaKsKNR37aL1wJ20\nHjhEZU3duvcvKwqBaIxA9NrS7MrcekwNzTE5aAt2f8hN046qDR7R5sVMFUl85Qz6sJ0xoIRcRH5u\nB1qVF1E0sGYzpclp/vwcmcPjpeuurhCe/csbRoqigdEfh5yOyBTRjw0hBdyo26pRIuXazbWQ757B\nyup476iya0CW4NkTIf3aBJ79K5/vfA/UE//L48z+Uy/ee2pLRfLOzspSbcZ6USqdFAaSePZHQZFR\nvBr+BxuY+otjzD7Ri/euGmSngj6VJX92hsoPdyA7Ffz31ZJ6egBJkXG2BLCyBsXRNL67a5B9GpIq\nk++ZRal0IqkyskvF2VZhO3+9MYGzJUju1DSFgRRqxZXrVLSIG8++GDNf7yH4SCuOOh9WVqfQl0QN\nu3DvvL56rTKbh9tDoAgLxt6E80+DvqDQJRka7oPWd4K6dTzyN5KZv/0SxYEBAKK/8itoVZtrMpCZ\nm+X1f/4GZ196gewlUQan10vn3ffTdf+DQA3f+fOTyKrA4VJ47Nf2Eb7OBlJWpoDZF8ccnVsWBpeC\nbtS2GHLMv6aVRUmSiDW3kh4fLYkTh8fLzvd9EM86Cr4L2QyJocGSYLl4Wcxlr3Bs2S5Kj0bxh6ME\nIlEC0cUCdU8gSDGfp5DNUMxmyGczFLNZCtmM/ZfJUMhmKWYzFHJZirksoYVISdOeA2UnrTI3lEwq\nT9+JcQBUh0LnoXrkcprRihRH00x/6TRmynYjdLQECH96B8pCAbPkUFGqgqX7e2uCqHVBpr/abU82\nfzJJMa7bxfOuxWmDUl+JOTRjF97rJiKVQz/cjxn2oW6rRg5ujfTfjSLzxgTOtorLxAmAe3eU5FMD\nFM6vHDF31PqI/MJukk8NEP+LY6DKOOp9uLZf3cZ+NQLvaWLuifOM/9EbYFrU/+Hb0Kq9RH9xL6ln\nBoh/4QRYoIZcuHYu1r8E39eC7FFJPT+E+a0Cis9RivxIskTFY22kfjhE6odDOJsDRP/NHlydlQTe\n1UjymUFE0cKzP4rvnhry3dNXHWflxzuZf26I5FP9mMkCslvD0eAv16DcYtz6fVCSw3DuSUiNLG4L\ntUHnB8C3uSbYmxl9bIwL738UkcvhaG+j9YknkDZRT4nM3Cz/+NufY3Z8rLRN0TRaD9xB1/0P0rL/\nDlRNIzGS5on//ibFvImsSnzgV/dRv+3aIydWKodxIW4XnC5BDntR2mK2Jeg6InPCsjj/4vNM9Z4F\nwOkPsOt9H8R1nbUwYBepzyfiJbEihLAjEgsCxBcKr1hHUqbMZsPUTY6/0E8+Y0+4d9zTSEXs1lu1\nt3IGmSOTFM7PoVa6cLQEcDYHUfxrd0PKnowz+7UexELDWc+hKio/1I6kXj2V1ZjOkfjSGYwpe2FD\nrfIQ+dkdqJek8gjdtFNa+xPLUsXk6iBqZxWy9/atCRJClNPeypS5Bm5dgWLqtjAZe2NxmzMIne+H\n2K5yOtc6GfnsrzH/zDMANH7pS3jvunODR7RIPpPma7/z74kP9gNQt30nOx98Fx133ovLuzhpmZ/J\n880/epPMnF14+NC/2knHHdcmUq2ZDEbfFFY8vWy7XBVAbY0iV6w/WmCZJj0/+gHTAxcAcAcr2fm+\nx3B6b72JV5ky14oQgp43Rpkes624G7ZHadh2uW3qVqY4libz6jjZo1MlYbEUNezC0RzEeVGwhF2X\nTYKFEMz/cIjUs0P2BgmC72/Fd1/tuibMVt5g5h/OkT9rp27KHpXwp7tWzP8XBR3jQhxzaGYxkiyB\nUh9CbY8huVZf1BJC2PV6hokwLKycjjGVQasNIPudoMobOtEXpoXI6YiCjuRQkbzOKxoD6JMZssfi\nZI9NUfO5zfN7WabMVuHWTfGSVcjancCRFGh6AFoeBGXrNxO82aR/8mJJnAQefXRTiRM9n+eJ/+d3\nSuJk1zvew0O/+NnLfsgKWZ3v/Nnxkji59yPt6xInQghEpog1m8EcnUXMLkmVkkCuqbCFif/a0gVN\nw+DcD7/P7Ig9mfCGIux8+DG0LeKQVqbMzWKib6YkTipiXuo7b42cc2FY5E4mSL86TnFwefd42e/A\nyuqlujZjOm9bv745uXC7hrM5iKPZFixqxMXsN3vJnbB/AyWnQvhntuPatv70H9mlEv7ZHXYzvh+P\nYmUN4v/rFJUfasd753I7b8mpoe2oRWmOYPROYo3NgQBzeAZzdBa5JmiXf+omwjDBsOxL3VzVTEQf\nXrC3VWQkt4bkdiC5tMv+x6lds5OYEAKKJiKvI3JFW4jkL17a2yhe4mkmSUg+57KaQoFM7swM2WPx\na3e3KlOmDHArR1AA5sftovjOR+yu8GXWjVUs0v+BxygODiJ7vbR+73toVZujSNnQdb71R7/L4Imj\nAHTedR/v//V/d1n3cVO3ePJPjjHWa+fy7nlHPfd/ouOKq3HCEoj5HNZMFms2gzWbhaKx/E6yhFJf\nidISRfZcu/A1ikW6n/0eqXG7j4M/Vs2Ohx5Fdd6+aRFlyqzE/EyWUy8OIAQ43Cp7396KtsUbChqz\neTKvjZM5PImVWdKjQgLX9hC+e2pxtleAaVEcTlMYSFIYSFEcTCEKqxgBL7FwVcIuIj+3Ey12/TVg\nmTcmmX2itySUXNtDONsrcDYH0Gp8y/pVwEIKbM8kVnx+pd3dWCTApSGp60xTtezIyKUuU9eKpVsY\nGRMzbV9KPieRX9h3Q/Z9PRi9k5gTSZxv69zooQCgnxlDzOdx3LV5rOH1EyMI3cBxsPma91F8rQ/J\n70LbUXaEvV629pn9avhrYN/PVb09pwAAIABJREFUbvQotjQz//tvKA4OAhD51c9sGnFimSbf+9P/\nVhInzXsP8L5f/beXiRNhCZ792zMlcdK2P8p9H79cnAjTwprLImZsMWLNZVe33dQUlIYQanMYyXl9\ndTh6Ic+Zp79NesF1K1hTR9d7HkHRypG+MmWWohcMzh0eQQg7Q3fbofotK06EJSj0zpJ+ddxOnVoy\nN5a9Gt47qvHeVY1auSQiKys4W4M4W4OlfejjGQoDSYoDKQr9SayLTfgW9udsDRL6VFepGP568R6q\nQo24mP5KN1ZGJ392ppT6JTkUHE1+nAupZ44GP3LAjeNQs50S2zuJNZ+3a19UBSHAzBgYMwWsrIEw\nBMIQWKZAWHZjQsmlUuidRXHKyC4ZR40HNagh8roddVn2omI7irG+RoSrIkt2hMatLURpHKVIjcgW\n0YfmMKczyFjIjsV6HlmTcVTIsMZ67eKJYazROZT6SrTd9ctu08+OY/YnkGP+dU2a898/iba/EaU6\nuPyGLZbabk4mMfoSiHQeBEguDTnkQdtlv07myCz6mTFcD+1c136t6TTF1/txvqsLybF4DlF31FzW\nm2XVsa1ybO1A05Z7nTcrW/PsXuamUBwZJfE//ycAzo4OQp/61AaPyEZYFs984U/pfe1lAGq37eCx\n//M/oK5QtP/SP53n/Jv25L+mPci7f34HsizZEZK5LGZ8Hms6jUjlVj8xOVXkkBe50otc6bHtgW/A\nCaiYy3L6qSfJztiuJZUNzWx/53uR1fLXskyZiwghmB5LMXBqkmLejmI276rGH9qarnCZwxOkfjSM\nOb28P5CjKYDvnhrcuyJrKmCXZAlHnc/uMH5fHUIIzOm8LVgG51GCDvzvaLi8Wd914mwOEvuVfaSe\nGSB/YQ5r3hYEomhS6J2jsLAYhLIwvpYgzuYAzt0NCFOQPW7XZegjy+v3kMDZXoFnXwz3znDJLSzX\nPc3MP/Yg8gUy53M4mgKEf2Y7slddloJ18f8r9p1aihCY80WsjI6wJCwhIYSEsOxLANISYCz82Xb1\nVtEkf24WkV+MqEuahBZx4G4LoIWdSJZpT6rXEJWRkMCtYU4kUXfUlt4vIQTm2Jwtim5DzEQa/egw\nakcV8h5bkIhMAWtyMf3xWmNeqz1uPdG3VfdRbhZ5w7i1U7zKXBfDn/kM6Wd/CEDTV76M5447NnhE\n9kn7R1/+Xxz53j8DEG1u5RP/6Q+WFcNf5NizQ7z0jfMAVFZ7+Miv70PL5jGnUliJ9OUrcAtIXidy\npcd24Kr02itoN3hFpJCe59RTT5JfsEOOtLTT8eC7L4sAlSlzO5NJ5ek/OUEqsVjzFakP0nFgfYXe\nm4XUD4dI/WCwdF3SZDz7Y3jvrsFRu/XMMIQQmDN5Cv2pUiTHSORWvvPFt+uSGYdW58OzP4ZnTxQl\nsHLk2JjJM/133eijtqiRvRqhn96Gq339DozCsMgcmWT+hZHLROJ6kRwK7l1hPPtiONsqlqW4CSEQ\n2SIilUepCa66D/3ECKJoIAoGalMYpd5+TuZkCqN7HDnkXZZ2ZCWzdtpcMgdC2OlE22qQK23BXvjR\nWTtl7eIY3RrOB7fbKV6TKdS2KEbPJKJgIEd8aLvqlkURLhvfuQmsyRQiV0RyqiVnNkm2hdTF1DG1\nPbbqfoUQGOcmMEdmAVDqKsASiHRh1RQvvXsMK5nDeXfbirdfjIIsRW2PoXZUYY7OYgxOI9IFUGTk\nkBetqwbJpSFyRQo/Wt4TTKmrRNtTT/HEMOjm4ms9k0E/N46YL4Bkzw203fVQNFY99qUpXsIS9ms0\nPgcFA8mloTSHUZsi9m1nxzEnkvZ8xKGi1FagbVte23W7Ul6qLbMi6RdeKImTwGMf2BTiBODVb/5D\nSZxU1tTxsf/wuyuKk943JnnpG+cJ+hTamt3s3VcJr/airyDHpYAbOeRZiJB4kd7itJFcKsnp7/8z\nhbSdlx3r7KL9vgdLJ/wyZW53DN1k+Gyc8f7F9CfVodC0o4pYY3BripPnF8WJ7NPwv6MB74EqZPfW\n/RmWJAk17EYNu/Eesk1HzPmiXSOzUCujj6Xt93Bp39qQC8++KJ79MbTo1SNhashF7Jf2MvftC2Re\nn8DK6CS+eIrAQ034396wpuJ4q2CSeW2c+RdHsRb6wYAtMiTX2heGJOxu5p79UVxdYWTHyo+VJAnJ\n64S1WCxLdk8ZY2RmUaCMzKLUVyKyxWV3FYaFUluBujABNgenKb45gPPt25A0Bce97RR+2I26uw4l\nGlgUhoDIFjHHk3YakmlRPDaE0TOJtmv1xrmSIqPtrkdyqVjpAvrpUVBktI5FkxmR06+4X7M/gTk8\nY+/H78IcnMYcm0MOrG4CIzk0RGYOK5Vb8X5SpRe1qwajZxLn27fZG9WL0SdQO6rs1183MM5NUDw+\njPOuVnBpaPsb0Y8O4Xhbpx3xWBCWElLpYyqEoHhk0K4z3dsIQiCSOdsc4QrHvhT9xDDWbBZtRw2S\n3w0FvfSemoMJzMkUjv2NSC6HHQ3MFFZ9TW43tu6ZscxbhlUoMPH7fwCA7PNR9Zu/ucEjsjny/Sd5\n+et/B4A/HOVjn/89PMHlib7CtIifnGT+9WE+/u4QAe/Cj8f8kpUyRUaO+lCiAeSo/y0XJEvJzk5z\n6qkn0bP2inDNjj203H3/lpxwlSlzoxFCEB9OMnhmEv1iAbgENS0hGrZHUbdo+kTqR8Oknl4QJ36N\n6L/ec0OK1jcjit+BZ3cEz27bmMYqGBQH5ykMJMESuHaEcTSsrXHtUiRNpvIjHTgaA8x+6zwYFqmn\nBykOzhP6ROeKzQ4BzIxO+uUxMq+MYWUX07KUoBP/A3V47qheVWTcTJTaCoyz41iZApIqYyXm0XbU\nYvROLr9fePmCnNRVgzmRxIrPo9RWlKIWkqpc/tsmBNqe+lIqk9oQKkU1VkNtX6w7VdwORGvU7nez\nRKBcbb/GQAK1NVqqiZG6arASVzZOUJrDWLMZii+dB5eGXOFGDvtQaiuRVBlJlkrHu/R5qvVLI2sO\n1B21FH/Si8jrdj3RwnlEciirR48MC3QTJRZYNMFZIjZXO/ZSrEwBazyJdkczSsRvb/Q4oNIL2MJO\n9jqRF65Lbg0qb83zwrVQFihlLmP6i19EH7LtbqOf/VXU6Mb3GDj9wg95/m+/AIA7EORjn/89ApHF\nE6eVymEOTWOMzhGwBDtalq+4SB4HcsyPHA0ghzwbEq1IJ6Y4/dS3MQq2WKrfe5DGg3eVxUmZMkB6\nLkf/iQnmZxdThAJhDy27q/EGr82+e72Ypkk6nSYYXD0lZ73MvzBM6qkBwI6c3MriZCVkp4qrsxJX\n57U3xF2K91AVWq2X6b/rxpzOkz87w+SfHSP8qS67HmcBM1lg/iejZF4fRxQX61LUqBv/2xvw7Iuu\nqdbnZiFpCnJVAHNk1v4/5F2x/kQUDNtwYCaNKBh2ZMqybCvkqx3D7VheZ+HUEJe6U16COZ7EGEzY\nq/6GtdjfZo37FbpppzYt6Q0mSRJS0AP51Q0NJEW2DRayRbtOdCG1zeiL47yn/crCIJnDOD+FNZ9b\nZg8tcvoVe/EsO76moNRVUjzcjxz22eKoOoDkXruBjUjl7TYEoZXTNy/uv/DCOeSIDznqtxdNy3MC\noCxQylxCcWSE6b+yhYBz2zYqf+ZnNnhE0Pv6yzz9l38MgNPj5aP/4XcJ1dbbzlsTSYyhGcScHZG4\n+LW2LEHR4cDXHkaOBpC8jg390qcmxznz9HcwdftHpOnQ3dTvPbhh4ylTZrOgFw2GuuNMDiyuuDpc\nKk07q4jUBW7a93ZsbIxvfvObTE9P09XVxSOPPILf77+ufc7/eITk9wcAu24i+q93r0uc6LrO6Ogo\n8Xicqqoq6uvrkcupoDhqfVR9Zj8zX+8hf2YacybP1F8eo/KD7Thbgsz/eITMm5MlO2Swa138Dzbg\n3hm+5n4pbzVKfQj9xDCSqqB2rNynSz8xjCiaqF21toCRZYqv963NJvmS5y3BFSvNrbks+vEhu1A9\n4gdVxppKYZyduK79rgfZ40D2hKAhhNpWpPBCD+bQ9KqvjzAtim/0I0f8OPY0gFO1a0Ze7VtRXF0J\nbU89SksEKz5vP++eCbSDTYvRkOtEDrpxPrgdK2Gb9egnRmznuztbbsj+tzplgVJmGZN/8IeIgp0D\nWf2f/m+kDXaUGjxxjO/+8R8hhIXqcPLhz/1nolUN6OcmMIdnlhW6CyEYmihyYaRAzR217H/P5viS\nz40O0/3s97AMe0Wp9Z4HqNmxe4NHVabMxiKEYHJglqHuOMbC91iSoLYtTP22KMpNWt22LIuXX36Z\n5557DsuyV9q7u7vp7+/n4YcfZu/evdckkuZ/Mkrye3YhbUmcVHmv+JhsNsvw8DBDQ0MMDg4yNjZW\nGhOA2+2mo6ODzs5O2tracN/GjVxlt0r4X3SR/vEoyaf7wRDMfrN3WQ8YsK2W/Q824Oyo2PQr00rE\nhyFLCN1ArgqseB+7nqEWJWpPkkVBh/wlURBJuiECwZrNILk01LbFbAUztz4bZ0lTwKnai4hL0tNE\nMrf+9GqXBoqEuNgCQL7kzQa7ML5oonVWlaId5vwlZggXBdVaNN1CI05aoxTf6MccnbMFygrHvhQp\n4AJhF/RffL8uu48qo1QH7b+6SoqvXMDKFJDXUrt0i1MWKLcgwhKIdN7ucruO1bb5558n/dxzAAQ/\n9CE8Bzd2hX+sp5t//u//BdMwkBWNj//KfySS8VB8YbkDBw6FgSmD116fIZ2z2PlAHfsebt6QMV9K\ncnyUM898B2FZIEm03/8Oqjq7NnpYZcpsKLn5Ar1HRknPLU4cKqJeWnZX4/bfvB/mZDLJE088wcDA\nAACyLNPQ0MDg4CD5fJ5vfetbnDx5kg984ANUVKyxsQUw/+Ioye/22fv0qrY4qb5cnCSTSQYHBxka\nGmJoaIipqakr7jeXy3HixAlOnDiBLMs0NjbS2dlJZ2cnkcjt14xYkiT8b6/H0eBj+vGzdh+YhTmj\nqytkC5OmlSf6mxXH/Z2AWDXKI3mdtv1whRsMC+PcxOURDI+GNZ1GDnlAlq/Z+lbyOhF5Y+F4Hqz4\nvO1GtU7U5ghGXxzJ6ywVyYuCfkWBYvROIkzLnti7HWCYmAPTYFooC+JNcmtgCsxEGjngAkVeiCpJ\nGIPTKI1hRDp/WR2P5HaABGZ8HiXmt1+jSxZErGwRc3gGJeZHcml2qlkqj9oUXv3Yl1h6y14nck0Q\n/dQodNUgBdywYIut1FVi9CeQnKotZCQJc2wOVHnNaWi3OmWBcgshhMCaSGH0TiAyxQVLvLpSAdaV\nsPJ5Ji8Wxvv9xP7t//VWD/eK9L72Mk/95f+HLCT27Xwbd971XrRZBYvFwjqp0oPaGOb1V+McecEO\nOTfsCPHAJ6/cJf5mYeo6vT95DmFZSLJM54PvIdLSvtHDKlNmwxBCMDU4R/+pCayF9BunW6N5dxWh\n6pube33mzBmefPJJ8nlbJIVCIT760Y9SV1dHd3c33/3ud0mn01y4cIG/+Iu/4N3vfjeHDh26aopV\n+qVRkt9ZECcelcgv7CmJk0KhwNmzZzl//jxDQ0Mkk8kV9yFJEtXV1TQ1NdHY2EgsFmNoaIienh4u\nXLiArutYlsXAwAADAwM888wzhEKhklhpbGxEvY36KTlbK6j67AGS3+8HRcJ/f92KgnArcLW6GG1P\nPfqpEYovn0dyaqjtMbvOYwnq9hqMs+MUnp9Fcqk4H9x+TWNRYgGs1gh69ziYFnLEh9pRhXF6bH37\naYkgCoY9Ucc2BFBqK+xoxypIIS/W0Az6yRG71kZVkP1OtIPNpTmNXOlFaQyhHxsC3SxZ/Wp7GjB6\nJjAHp5H8LtSuGvTDA4v7dmmo7VUYPRMYp0ZQam2b4WXHV2REpkDx2BwUDXCqKHWVKK3RKx77UrQ9\nDRi9k/ZrWLxoM7ywmKDKGP3xkquXHHDjuKPlhvcu2qqU+6DcIpiJNMa5Cbvh4CUoTWHUzuornvji\nf/bnJP7szwCo+vznCX366k0ZhRA3fEJhGgYv/8NXmT3VS3PDdlob/3/2zju+6vre/8/v2TkjJ3tP\nMtlLZsLSIqMKomLr6LLVtlfb29b+anu9be29rXbZa9vbXlu17kptQUBxICggWyGBMJKQTfbOydnj\n+/398Q0nRAJkkQT8Ph8PHsDnfMfnJGd8Xp/3eE1GozlvN0EtoE4IR50SgSo0hFP76vngpWJA9jq5\n7eHr0I+Ttp2VB/dSf/IYAOnz80mYPH2MZ6SgMHb4vH7KCxtob+jdZEjIjCQ5Nxr1KH4hezwe3nnn\nHQoKCoJjM2fOZOXKlej1vdEbl8vFu+++S2FhYXAsNTWVNWvWEBkZ2e+17Qfq6dxSDpwTJ1NRxRgo\nLy/n+PHjlJSU4PdfWJSs0WhISkoiJSWFlJQUkpOT+8zlfPx+P1VVVZSWllJaWkpn54U72jqdjtzc\nXPLy8oiN7T9XX0FBQWE8owiUqxyxy4W/pBGx7TxXXq0adWyoHC7sKZwTQrRopiShjurbTUIKBOjc\nuJGmn/8CyetFP3Ei6f987aK1J5IkITZ3469okXNILfqgf4gqwoigH3xoUpIkJIcHV3UTHSfOEGGO\nusCwUDDpUadEoE4MD4ar60o72PpkIaIoYTBpuf2H12GNHh852d3NjRx/YyMAlpg4pn52neJzovCp\npbPZTllBfdAJXmfQkDUrEWv06O5y19XVsXHjRtrb2wEwGAysWbOGSZMmXfScsrIy3njjjWC0Q6PR\nsGzZMubPn49a3fs5ZT9YT+dmWZxgUONZE8np+jOcPHkSl6vvxpHBYAiKkdTUVOLj44cU8ZAkiZaW\nlqBYOXv2LJ/8Ss/OzmbRokUkJycP+voKCgoKY4UiUK5SRIdHdpNtPC9FQK1CnR6FJi0KQatGtLvx\nFdUFO1yBbAalyY1H0KpxFRbS+N8/x33ypPygIJD6yisYZ8284H6SKCE2dMrC5FJhWaNONjvsMT4U\njP13z5ICImKHA7G5G7G5u98WiZJKQB0Tijo5AlWkqc91Opud/OtXH+Nx+FFpBNZ+ZyYJmQPPEb+S\niIEAhZv/gauzA0GlYsa6z2EMixjraSkojDpiQKTmdDP15e3BsYh4Cxkz4tFewr16xOchiuzdu5dd\nu3YFi87T0tJYt27dgFoKezwedu7cyeHDh4NjCQkJrF27ltjYWOyHGuh8vYwOwU65voVKcytddluf\na2i1WnJzc5k6dSoZGRl9xM1I4XQ6KS8v59SpUxQXF/cRK2lpaeTn55ORkTEuUmAVFBQULoUiUK4y\nJLcPf1kzgdpeh2UEAXVKBJqM6AsiGJIkEahuw1/a2NtyUauiu3AXrc/8b/A4TXw8cT/+TyzXX9/3\n/IBIoLaDQGUL0vndO3o6T4h2j+yuerGXkV6DKrzHpT3MiGh3y6Kk1Q4B8YLDu2xtdOMgZclCtDHW\nfqMOboePjb8+QmeTLLxu+PJEcufHX+YnN3rUHD3M2YKPAEiZPY/kGdeN8YwUFEYfZ7eHM0fqcHTJ\nNR4qtUD61DhiUka3m1JnZyebNm2ipsfbSaVSccMNN7BgwYJBt+ytrq5m69attLW1Ba81b8IMAqdt\nlKsbaVPZ+xwvCAIZGRlMmzaNnJyci6ZtXQna2trYv38/hYWFBAK9NQrx8fEsWrSI3NxcpWWxgoLC\nuEURKFcJki+Av6KFQFVrn37nqoQwuUe58dLmQaLTi6/oLFJ7bzTFfuRD2t94mbC7PkfUffehMvb2\n55d8AQJn2/FXtYLnvJxpnQZNehTq5IhgqpUUEJE6nYgdTjkq0uHsV3z0Oy9JpL6xkuraYmoayrju\n9juYesONFz0+EBB584/HqC2WPRNmrUxlwS0ZA7rXaOBob+PYlteQRBFjRCTT166/IF1NQeFa5lz7\n4KoTTYg9n1WmMAPZsxMJMY/eAl2SJIqKiti2bRuentbpkZGR3HbbbSQkJAz5mu4WOx9sf5+PygqR\nLtJmNDExkWnTpjF58mTM5v5N2kYLm83GgQMH+Pjjj/H5ejeZoqKiyMvLY9q0aVckmqOgoKAwHBSB\nMs6RPP5eoXBepw5VtBlNdhyq0IHVXDgOH6bp579AG55IxNovog7pyf1WC2inJqGKsyIIApLXj7+q\njUB1q+wa24MQokWdHo06KfyyHSYkUULqdveIFQdiu1PugnEOrRpvCBze/SanTx/G63VjjY3j5u/+\niNj0i4sNSZLY/fcSTn4odxCZMDOalfdNGTemW5IocvyNjdhbm0EQmL7mdsznud0rKFzr+Dx+ygrr\n6WjsjSQkZkWSnBuDapTep6IocvLkSfbu3UtTU2970dmzZ7NixQp0ukE4QYsSviYn3qouPJVdeKps\niDY5HbVFsLFHe5qOnqhJhDWcaTOnM3Xq1IsW0Y8lTqeTw4cPc/DgwWDnMgCr1crChQuZOXPmoH42\nCgoKClcSRaCMQyRJQup04q9pR2zo6pM+JYSFoM2OQxU5sF05X1MTzb/+DbZt24Jj+olTiPvGw6jE\n3t1MVUwoQohWTh07z31XMOvRTIhGFR82ZCEgSRKS04tkcyEYtJwqPMDOZ/+Mv8dVfcLsuaz6t+9h\nuMxO47GdZ9n7zzMARKdYWPfQLLT68bPzV1dUSNXhfQAkTp1J2tyFYzwjhfPxd3no+FcparOO8PXZ\n40bYXit0NNspO1qHzyNvpOgMGrJmJ2KNGp1CeL/fz7Fjx9i7dy8dHb2u9CEhIaxZs4aJEy/vPyQF\nRLxnu/FU2fBWduGptiG5A/0eK+hUqJPN1Fk6iZ6WTPLE9KuitsPj8XDkyBH279+P3d4rJPV6PaGh\noRgMBvR6PQaDoc+/+xu70iliKpWK8PBwJRVNQeFTyJAFyuOPP84jjzzCgw8+yB/+8Ifg+KOPPsrT\nTz9NR0cH8+bN409/+lOfDinf+973eOGFFzCbzTz++OPcddddwcfeeOMNfvOb37Bnz55hPKWrF8kv\nEmjoJFDThmTr63wqWAxosmJkITGAL0HJ66X9xRdp+fP/ITnltC7BYCDqG18n4itfQdDpEBu68J2q\n7xOZCd7PGoImIwZVzMh5E/i9Xt5/7imK3t8u30NQkfe5e5i79vbLdriqKmrlrT8fR5LAFKZn/Q+v\nwxQ2fpxWXbYuCjdtQAz4MYRambHu86g/RT4E451Al4fmvx4n0Ca/r6Lum4ohY3w0VbgWqC9vo+pE\nb7QiMiGUjOnxaHRXfgPB4/Fw9OhR9u/fT3d3bwtjo9HI/PnzmTNnzmUd1wM2D47DjdgPNwYjJJ9E\nZdKiSwtFn2ZFnx6KNt6MoB7/guRiXEzQjTeMRiNZWVlkZ2eTkZGBwWAY6ykpKCiMAkMSKAcPHuSu\nu+7CarWyaNGioED51a9+xWOPPcYLL7xAdnY2P/vZz9i7dy+lpaWYTCbeeOMNvv71r7Nt2zZKSkq4\n9957qa2tJSIiArvdzsyZM3nzzTfJyckZ8Sc6nhEdHgLVbQTqOvqkVSGAKs6KJiUSIdw4YKHgOnmS\n+oe+j7fHHRnAsmIFsQ//AO0ncq8ljx/f6Xo5UgOoIk2oM2JQRZhGdDewq7mRrb97nOZKuQ1nSKiV\nm/79B6RMubw3SFudnY2/PoLPE0CjU3Hr92cTnWIZsbkNF0mSOPn2FroaZBOqKatvwRqfOMazUjhH\noMtDy9NF+Ft7W72GfiaF0M+kjuGsrh0aytuo7BEnKrWKCdPiiE62XvFowrmUpUOHDvVp4xsaGkpe\nXt5lU5YkScJT0YXjYAOuk63wibI5dYQBfY8g0aWHookKuSoiJIMlEAhw+vRpysvLcblceDwe3G53\n8G+32x3sfDbWqFQqUlNTg4aU4zGVTkFBYWQYtEDp6upi9uzZPPvsszz66KNMnTo1KFASEhL49re/\nzQ9/+EMA3G43MTExPPHEE9x333385je/oaCggL///e8AxMXFsW3bNmbPns23v/1toqOj+fGPfzzC\nT3F8IokSYouNQHV7Xw8TAIMWTXIE6uTwQfuK+BobqbztdgI9XWZ0EyYQ95+PYFp46XQjsdMJKmHA\nNS2DofzIYd7+0xN4HA4AErInctN3H8YSEXXZc502L//65cd0t8s736u+PpUJM6NHfI7DobHkFOV7\nPwAgLncyGXlLx3ZCCkECNg8tfz1PnKgAEfSZYUR/beqYzu1aoKGincqiRgA0WjWT81IxWa/sDnd3\nd3ew6Nvr7Y12REZGkp+fz9SpUy/pKSK6/TiPNmM/WI+/ua8/iTbRjHlePIaccNTW8ROhHUskScLv\n918gWjwezxUXLm63m/LycsrLy/sU+J8jMjIyKFZSUlKUYn8FhWuIQeeg3H///dxxxx0sWbKkz3hl\nZSWNjY0sX748OGYwGFi8eDH79+/nvvvuY/r06Tz99NN0dnZSXl6O2+0mMzOTgwcPsmvXLo4ePTr8\nZzTOkQIigapW/DXt4O77gauKNKFOiZTTuIaQHy96PNR+69tBcRL14INE3X8fwgAKH1VhxsseM+j5\niAH2v/YKh15/LTg2a/VaFt/9lQGlP/l9Ad76v+NBcbJgXca4Eyceh52qQ3Ldic5oInWOUncyXgjY\nvH0iJ6b58Uh+EefHTXhrbEgB6apO0RlrGirPFyeqKypORFGkrq6OwsLCIbfN9TU6sB+ox1nQjOQ9\nb2GtETBOi8a8IAFd8viJzI4XBEFAq9Wi1WqxWEb/5zNnzhz8fj9VVVVBQ8rOzk5AbqV84MABDhw4\ngF6vJzMzk8TExEvW0Gi1gzcTVlBQGH0GJVCefvppKioqePXVVy94rLGxEUEQiI2N7TMeGxtLfb3c\ndenGG2/knnvuYc6cORiNRl588UVMJhNf//rXeeqpp3j22Wf5/e9/j8lk4g9/+AMLFiwYxlMbf4hd\nLnzHziI5zjM61KhQJ4ajTolAZR76l7skSTQ++jPcRUUAhH3+c0Q/+MBwpzxknF2dbPvDb6g5cQwA\nrSGEFd/4d3IW5A/ofElVfpqAAAAgAElEQVSUeP/FYpoqZbOz3PlxzLwx5YrNdyhIkkTF/j0Eeor9\nM/KWoFG64IwLAt1eWp4+jr+lV5yErc3AebQZ58dNSF4RX4MdXZKyIB0KjZXtVB7vFSeTFo68ODm3\ne15aWsqZM2dwOp19Hk9NTWXRokWXNB6U/CKuE63YDzbgreprnKiOMGCeF4/xuljUJmXROp7RaDRk\nZmaSmZnJqlWraGlpCYqVs2fPyul6Hg8nT57k5Dnj4YugVqv7iBar1Up+fj5JSUmj9GwGR1VVFc8/\n/zw/+MEPMBpHfiMRYPPmzTidzj41wcOhsLCQt956i//4j/8YkeuN1T0UxpYBC5TS0lIeeeQR9u3b\nN6yOGj/5yU/4yU9+Evz/L37xC/Ly8ggNDeWnP/0px48f59ixY9xxxx1UVlZeMlR/tSBJEoHKVvyl\nTcGOXILFgDo1EnV8GIJm+B1KOl75O12vvw5AyKxZxI3hm7au5DRvPvlL7O1yJCcyKYU1D/0HEQkD\n+wKQJIkP/3mGMx/Jee3xmVaW3p077vK/26rKaa+pBCBqQhYRKeljPCMF6EeczI0jbI28iNWn97qG\neyptikAZAo1VHVT0iBN1jzgxh41Mamhra2tw4VlTU9NvClF2djb5+fmkpFx6w8JTY6P9ldMEus4r\nehfAkBOBaUE8hqxwpZPbVYggCMTExBATE0N+fj5Op5OysjJKS0spKyvr00K5PwKBAE6nMyh4Gxoa\nKCkpYenSpSxatGjUO4Zt3ryZwsJCBEFAEASsVisTJ05k6dKlwRqqK/3dt2rVKka7oWtjYyMffPAB\ndXV1uN1uTCYTiYmJrFixAqvVetnzp0yZQlZW1ijMVGGsGPDq/8CBA7S1tfXpyBUIBNizZw9PPfUU\nJ06ckA26mpr67EQ0NTURFxfX7zVLS0t57rnnKCgo4Pnnn2fJkiXExMSwfPlyPB4PJSUlTJ48uc85\nbW1ttLa2XnCtqKiofgvmxvp4yeXDV3QWsU2uv2jr7qQzXI06SovgbIHylmHPx3H4ME2//CUA3RER\niN96kNLKylF/vhERERS8vZXdL/8NsScFI3HmHKasXkdLt4OWkpIBXX/nawWc2C0XnFsiDWRcH02n\nrWNc/X6tZjM1++Vucxq9gQnzF43pfJTjZZqrGyh9aj+BVnmREjI1itCJAcSOdiIjI1GH61GH6gjY\nvHiquvBOMoyr+Y/341vruqgpbiHMEk5ERASTF/QVJ4O9flNTE0VFRVRVVVFZWUlXl9ysw2g0BneL\ntVotGRkZZGdnExERgcfjweVyUXKJzxNHQTMdG0vp6O6k3dmFEKLGODWakGnROMI0CFESIf2Ik/H+\n81eO7/94vV7P1KlTmTx5Ml6vF4vFgtFovKBmpqmpiZaWFjweD16vF4/HQ21tLQaDgQ8++IDy8nLW\nrVtHeHj4iM7/co1/MjIyuPXWWwkEAlRXV7N161Z8Ph+f/exnL3neSKHXj269lcPh4MUXXyQzM5O7\n776bkJAQurq6KC0tDZqqXg6NRnNNbGArXJwBF8nbbDZqa2v7jH35y18mOzubRx55hIkTJ/ZbJB8b\nG8sTTzzB1772tQuuuWzZMr7zne+wdu1afv/737N79242bdqEJElERESwe/dupk2bNgJPc2wINHbh\nO1EXbOMrGHVopyePaL2Hr76eytvXE2hvR9BqSX35JUKmX74z1kjjdTl59y9/pPTAhwCo1BqWffl+\npi9fNajdn8IdNez7VxkAlggDt/6/WZjDx19bydLdO2gpkxdI2UuXE52RPcYzUgjYe2pOmuSdUeN1\nsYTfmnXBLnnb30/jOt6KyqQl/j/njbvI3HilqbqD8sIGANQaOXJiCR9a5MTn8/Hee+9x7Nixfhck\nYWFhweLntLS0AS9EJFHCtr2K7l0931UqAevqdMzz4hG0ipeGwoU0NDSwcePGoLDQ6/XcdNNNTJ06\nOk00+kuveuONNygtLeWhhx6iqqqKF154gS984Qvs3LmT5uZmoqOjufnmm4mPj8fr9fLEE0+wdu3a\nPhvI5eXlvPLKKzz00EOYTCZ27dpFQUEBdrudkJAQMjIyWLdu3UXnsH//fj7++GO6urowmUxMnz6d\nG264AYAdO3Zw+vRpurq6MJvNTJ48mWXLlgXfp5dLvyouLua1117jkUceuWRjg+7ubrZv305ZWRl+\nv5/IyEhWrlxJWloaBQUFvP32233uUVJSwq5du2hpacFisTBlyhSWLl0avMeTTz7JrFmz6Orq4sSJ\nE+j1eubNm0deXl7wGm63mx07dlBcXIzb7SY8PJylS5cGN8tramrYuXMn9fX1GAwGcnJyWL58eVDk\nVVVVsWPHDpqbmxEEgaioKNauXUtMjGLaPFgGLD9DQ0P7vPgBTCYTERERQQOs73znOzz++OPk5OSQ\nlZXFz3/+cywWC3feeecF13vmmWeIiIhg7dq1AOTn5/PTn/6Uffv2UVhYiE6nu2rbDUv+AP7TDQRq\ne3vLq5PC0UyMR9CMXJcR0e2Wi+Lb2wGIe/TRMREnrWer2fq7x+molxcFlqhobv7uD4nPHNzv79S+\n+qA4CQnVsebfZ4xLcdJRWx0UJ+HJqURNUMLMY03A4aP1mfPEyez+xQmAPt2K63grosOHv9WFNvrK\n5HVfSzRVd/YVJwtShixOuru72bBhA3V1dcExQRBITk4OipLo6OhBC0fRE6D9HyW4T8mppSqjhoi7\nJyp+NwqXJD4+nvvvv5/t27fz8ccf4/F42LhxI2fOnGH16tVj4ruiVqv7NIKQJImdO3eyfPlyzGYz\nb7/9Nps2beKBBx5Ap9MxZcoUCgoK+qzRCgoKyMnJwWQycerUKQ4cOMDtt99OTEwMDofjgg3n89mx\nYwcff/wxK1euJDU1FafTSUNDQ/BxnU7HLbfcgsVioaWlhTfffBONRsOyZcsG9PzMZjOSJHHq1KmL\nCkGv18tzzz2H2WzmzjvvxGKx0NzcHHz8k58PZWVlbNq0iVWrVpGamkpXVxdvvvkmgUCAG2+8MXjc\nwYMHWbp0KXl5eZw5c4a3336b1NTUYObPK6+8gtvtZt26dURGRtLW1hbsINfU1MTLL7/MsmXLWLt2\nLS6Xi3feeYctW7Zwxx13IIoiGzZsYPbs2dx2220EAgEaGhoUo9EhMqz42CdfID/4wQ9wu908+OCD\nQaPG7du3YzL1dRJubm7mscceY//+/cGx2bNn86Mf/Yh169YRGhrKyy+/POphx5FA7HTKhfDOnrxn\nrRrt5ETU8ZfPqRwMkiTR+NOf4u4pCAy/6y7Cbrt1RO8xEE7v3cX2v/4Rf88uaNr0Wax68CGMoYN7\nvmVHmtn1cjEAeqOGNd+eQVjs+Fs4+r1eyvfuAkCt1ZKxcImyAz8CiC4/zsJmAl0eNNFGtHEmtDHG\nAe16Bxw+Wp8uwtfYI05mxRB+W//iBECX1vva9FbaFIFyGZprOikvlBudBMVJxNB+ZvX19WzYsAGb\nTS5YT0pKYu7cuWRmZg6rANjf4abthVP4GuVUWk1MCFFfnIwmauTbpitce+h0Om666SaysrLYsmUL\nTqeT48ePU1NTw6233nrZeqeRpLa2lqKiIjIyMvqMX3/99aSlpQGwZMkSnnvuOWw2G6GhocyePZtn\nnnmG7u5uLBYLLpeL4uJiPve5zwGyPYTFYiEjIwOVSoXVaiXhE55o5/B6vRw8eJBVq1YxY8YMAMLD\nw0lM7PX2Wrx4cfDfYWFhLFq0iP379w9YoCQlJbFo0SI2b97Mtm3bSExMJC0tjalTpxIWJm8oFBUV\n4XA4uO+++4JGq+dS7/rjww8/JC8vr8+cP/OZz7Bp06Y+AiUjI4O5c+cCMG/ePA4dOkRFRQVJSUmU\nl5dTW1vLAw88QFRUVPD5nWP//v1MmTKlTwOn1atX85e//AWHw4FKpcLj8ZCdnR2c67nrKAyeYQmU\n999//4KxTxbB90dMTAwVFRUXjD/88MM8/PDDw5nSmCFJEoGKFvxnmqAnaU4VYUI7LRkhZOQ7xHS8\n9BJdW7YCYLzuOmJ/9MMRv8el8Pt87H7pGQrf3SYPCAILbruT+bd9DpVqcFGimpNtvPe3k0gSaHQq\nbnpwOlFJ5isw6+FT/fFBPA7ZtyZ1zkL0ZqXIejh46+04DjbIrV99nyiIVoEmKkQWK/EmtLHy3+ow\nfVAUnoucnFuYGmfGEH579iWLn7WxRgSDGskdwFPVhWlu/zVyCtBytpOyAlmcqNQqJg5DnJw6dYpN\nmzbh9/sBmDVrFqtXrx52Hrmnqou2l04jOuRdTkNOOBF35qIyKPnpCoMjJyeHb37zm2zevJny8nI6\nOzt57rnnWLx4MYsXLx6wz8q52paamhpqamr40pe+dMnjy8rKeOyxxxBFEVEUyc3NZdWqVcHHP9kh\n1WKxIEkSDoeD0NBQEhISiImJobCwkEWLFlFUVITRaCQzMxOASZMmcfDgQZ588kkyMjLIzMwkJyen\n3/deS0sLgUCA9PSLN305efIkhw4dor29Ha/XiyiKgy6yv/7661mwYAGVlZXU1tZSUFDAnj17uOuu\nu0hPT6exsZHY2NigOLkc9fX11NXVsXfv3uDYOQ8fu92O2SyvKT7ZadZiseDo8WhrbGzEYrFcVFTU\n19fT0dHBiRMn+txDEAQ6OjpISkpi+vTpvPTSS6SnpzNhwgQmTZo0oKJ/hQtRPsFHAMnlxXusFqlD\nfpEjCGiyY1GnR12R3XXHwUM0/erXAGji4kj8/ZMIo9jb3dVtY/Nvfk59ySkADGYLn/3W90mbMXvQ\n12oo6+Ttp4oQAxIqjcDqb0wjbsL4fDN31tfSeFpu4xwal0Bc7uTLnKHQH5JfxFXU0/q12nbxA0Xw\nN7vwN7twHe8tPBX06qBo8Vbb8DXI77uQGdGEr7+0OAEQVAL61FDcJR14qi5x/085LWe7OHP0nDgR\nmLQghdAhiBNJkti9eze7du0C5MXWihUrmDdv+PU/jo+b6Hj9DATkxZE5PxHr6nSlO5fCkLFYLNx9\n990cPnyY9957j0AgwO7duykvL+fWW28lIiLignMcDgc1NTVUV1dTU1NDQ0PDoBbsqamprFmzBpVK\nhcVi6Tcl6Pyxc++b8+8xa9YsDh06xKJFiygoKGDGjBnB46xWK9/61reorKykoqKC7du3s3v3bu67\n775B+8LU1tayceNGli5dSmZmJgaDgeLiYt57771BXQcgJCSESZMmMWnSJG644Qaeeuopdu/efUlx\ndDEkSWLp0qUXlCIAfaKzn/zZCoIw4N+VJEnMmjWLBQsWXHBOaGgoALfccgsLFiygrKyMkpISdu7c\nyZ133nlBREzh8igCZRhIkoRY34nvVD345d1fwaRDOz0FlfXKpBZ4a+uo+853IBBA0OlI+uMf0fTT\nTeRKYWtpZuNjP6G9p94kLiOLm7/7I0KjB18A1nK2mzf/dBy/T0QQ4MavTiZ50oUf/uMBv9dL2Ydy\nxFCl1pCZv0xJ7Rok/g43jkONOD5qDO52A3Lr19wIzAsS0E+w4m914Wt0yH8aHPganQS6egupJU8A\nb7Wtj7gJmR5NxPqcAS9MdelW3CUdBNrdBGwe1KFXXzrplaS1roszR+UakaA4iRy8OPF6vWzZsiXo\nTaHX67n99tuH3R5UEiW63qnEvqenjkUtEH5LJqY5SjRMYfioVCrmz59PWloaGzdupKWlhdraWp56\n6ilWr15NampqUIxUV1fT1mOO3B/R0Zc3F9ZqtZdMXxoI06ZN47333uPw4cM0Njayfv36Po9rNBqy\nsrLIysoiLy+P3/72t9TU1FywcI6KikKtVlNRUdGvGKupqSE0NLRPmtc548zhoFariYiIoLu7G4C4\nuDiOHz+O0+kcUPpnfHw8ra2t/c55oMTFxdHd3U1ra2u/UZT4+Hiam5sv+7uKjY0lNjaWvLw8Xn75\nZQoLCxWBMgQUgTJERJsL36l6pI5e8zB1cgSa3PgR8TXp954uF7Xf+haBng+DuP/6GSFTp1yRe/VH\nc1UFm375KI4OuSg/Z8EiVj7wPTRDiN50Njl54w+FeF1yuseyL0wkY+b47XJR9dF+PHb5gzN1zgJC\nrErh7UCQRAlPWSf2A/W4i9uD6Y8AKpMW05w4THPj0ET0FqJq40xo4/rWrYlOH74m5wXCRfIGMM6I\nJnx9zqBc4fVpocF/eyptGKdffhHxacHe6eoTOZk4P4XQSNNlzroQm83Ghg0bgka94eHh3HXXXQNa\nsF0K0e2nfUOJ/HoCVCYNkXdPQj9OI68KVy9xcXHcf//9wYW/1+tl8+bNFz1epVIRHx9PamoqKSkp\nJCcnX1CDOxQGssNvMBiYNGkS7777LqmpqX0W6oWFhYiiSGJiIjqdjhMnTqBWq/ttlXyus9XOnTtR\nq9Wkpqbicrmor69nzpw5REZGYrPZOH78OMnJyZSVlfVJeRoIpaWlnDhxgilTpsh2DJJESUkJZ86c\nCdaxTJ06lX379rFhwwZuuOEGQkNDaW5uRq/XB2txzmfJkiW8+uqrWK1WJk+ejEqlorm5mbq6OpYv\nXz6geU2YMIHExET+8Y9/sGLFCiIjI2lvb8fn85Gbm0t+fj7PPPMMb775JrNnz0av1wdNQ2+++WY6\nOjo4cuQIOTk5WCwWOjo6aGpqCta8KAwORaAMEskXwF/aSKCmvXdQp0E7JQF17JX7gpQkiYYf/wTP\n6dMAhH/xC4TdcssVu98nqS4qZOsTv8Drks3vZt+0jiV3fwVhCN0putvdbHmyAFe3vIuevz6LiQvj\nR3S+I0lHbQ1NxfIOcGh8IvGTRqf95NWM5BexH2jAfrCeQFtf4zRdaijm+fGETI0asJhXGbXo0619\njBYlUUJ0+VEZNYOOZumSLKARwC/hqepSBEoPfm+Ako9qkUQJBMidm4w1avALrLq6Ol599VXsdrle\nKy0tjTvuuGPYTtj+NhetL54KdmvTxBqJ+tLkPgJXQWEk0Wq1rF69mszMTLZs2RKsVzj3WHJyMikp\nKaSmpgYFwEjT3+dbf2OzZs3i2LFjzJo1q8+4wWBg7969bN++HVEUiY6O5vOf/3yfAvDzWb58OSEh\nIezZswebzYbZbGZ6T4fQnJwc8vLyePfdd/H5fGRkZHD99dezbdu2AT+f6OhodDod27dvx2azoVKp\nCAsLC6Z+gty44Mtf/jLbt2/n1VdfJRAIEBUVxYoVK/q9ZmZmJnfddRd79uxh//79qFQqIiMjg0Xz\nA0EQBO655x7ee+89Xn/9dTweT7DNMMiRka985Su8//77PP/880iSRHh4OLm5uYD8emhra+Of//wn\nTqcz2J75/DbGCgNnwD4on3YkSSJQ24G/pDHoa4IA6tQoNJkxCNqRax/cH21/e47mX8t1J8a5c0l5\n9plRqzs5/eEHvPN/v0cMyNGOpV/8GrM/OzRx5LR5ef2Jo3T2LDDm3JTO3JvGrwO73+uhYNMGvA47\nKq2Wmes+j8ESevkTP8WIbj9tL53CU94VHBO0KowzYzDNj0eXMD4aIDT/5ZjcxSvOROx3Zl3+hGsc\nSZIoPnyWjsaeJhCTYkjMGnwHmhMnTrB58+ZgMfx1113HqlWrBlxgfDFcp9vo+GcpolO+riE3gojP\n5yjF8Aqjht1u59ixY6hUKlJSUoiLixv263okOXHiBG+++SYPPfTQoGtLFBTGG8on+wAQO51yOleX\nKzimijShmZiAynLld+4c+/fT/NvfAqBJiCfxyf8ZFXEiSRIfbd3Ih39/HgC1RsPKB75H7sLFlz7x\nInicPt74Y2FQnEy/Ppk5n00bodleGSoP7cPb07Urfe5CRZxchkCXh9bnTva2e400YFqQgGl2LKqQ\n8fVxo0+z4q204WtyyJGYcTa/0aa+rC0oTiLiLCRkDq62TRRFdu3axZ49ewB5N3LVqlXDTm/wt7no\nfKMimNIFYF6chHVlmlIMrzCqmM3mcbkb7vP56O7u5sMPP2T27NmKOFG4Jvh0fyNfBsnjl9O5zjNc\nxKBFmxuPKi50VIqkPWfOUPvd74EoIuj1clH8MIrABoooBtj1wjMUvPMGAHqjibXff4TkydOGdD2f\nN8C2Px2n9ay8AMpdGE/e7ZnjutC8vaaK5lI5pS4sIZnYHKVr16XwNTlo/dvJYEG7YVIkkXfmXPHo\n4lDRp4XSDSCBp9pGSO74bNAwGnS1Oqg+LZug6Y1aMmclDOq96Xa72bp1K6dO9XT2MxhYv379sApD\nRW+A7l1n6d5dG+zSJRjUhK3JwDQr9jJnKyh8eti3bx979uwhNTW1T/G6gsLVjCJQ+kESJQJn2/CX\nNgW7cyEIqCdEoZkQc8WK4D+J9+xZau79KmKXnCoT//P/JmTylV8k+71e3v7fJyg9tA8Ac0Qkt/7o\nZ0SnpA3pepIksevlYhp6Un4yZkaz7O6Bd1waC/weN2X7PgBArdWRuUjp2nUpPJVdtL5wCsktp9+Y\n5scTtiZjXP+OdamhIAASeKu6PrUCxev2U/pxHUhyC+acOUloBigqRVHk2LFj7NixI5ibHxkZyZ13\n3jlkgzJJknCdaKNrWwWBzt7ubcbrYrGuTENtHvkcfwWFq5mlS5cG6yQUFK4VFIFyHpIkIbY78J9u\nQOruLexVRZvldC7T6LUi9TU1U/OVe/G3tAAQ8/2HsN588xW/r9tuZ/Nv/pu6nqLwyKQUbv3RzwiN\nGnoR8ckP6yk93ARAYk4Yy++djEo9OiJvqFQc+BCfU05FS5+frxgyXgJnUSvt/ygGv7zLHboiFcvS\n5HEv6FQGDdp4E756B57KT6cfiiRKlB6pxeeRheWEqXGYwwZujPbWW29RW1sbHMvIyOD2228fsLna\nJ/E1O+ncWo6nrLdtqTbJTNiaDPQpSnqlgoKCwqcFRaAAosNDoL4Tsb4TyekNjgshWlmYxFhGdbHl\n7+ig5qv34uv54o+87z4iv/a1K35fW2szmx5/lLbaGgCSJk5h7ff/E4N56EXNzdU2PnytFABTmJ4V\nX5uCWju+xUlbVQUt5fKcw5NSicnKHeMZjV/s++rofLNCbh+sEgi/LQvT7Ksn/UafZsVX78Bb243k\nExHG+WtzpKkpbsbWKgvx6GQrMamXb5/tdDrZuXMnR44cCY5ZLBZuvPFGpkyZMqTPStHtx7azBvu+\nehBloasyaghdmYbpurhxHYlTUFBQUBh5PrUCRfL4CDR0Eajv7FP8DoBKQJMRjTo9GmGUd/oDdgdn\n7/863rJyAMI+/zmiv/fdK37flupKNj3+U+w9HifZ8/NZ9cD30AyjZaLb4eOdv5xA9EuoVAIrvjaZ\nEMv4Ts/wuV2U79sFgFqnJ0MxZOwXSZToercK+25ZRAs6FZH3TMKQPTyzsdFGlxYK++shIOGt7e7T\nxvhap72xm7ozssGc0aJnwrT4S77WRVHkyJEjvP/++7h62o2rVCoWLFjA4sWL0esHH2GWJAlnYQtd\nb1Ug9rQdR5BTBK3LU1EZlWJfBQUFhU8jnyqBIvkDiE02OVrSar/gcSHUgDohDHVCGIJ+9L8YRY+H\n2gcewF1UBEDoTTcR95OfXJEFssveTX3JKWpPn6Su+CRNFWWIAbl98qxVa1j6xa8NyePkHJIoseP5\nU3S3y6lyC27NID5z/JsbVuzfg88tL74mLFiEfgRMtq41JL9Ix79KcRbK6Ycqs5aoL0+WvUWuMs4X\nJJ6qrk+NQHE7vOc5xavImZOE+hK1dTU1Nbz11ls0NjYGxzIyMli5cuWQjRd9jQ46NpfhrepNr9Ol\nhhK2NmPctKJWUFBQUBgbrnmBIokSYmu3LEqabMH0gXMIIVpUPaJEZR47sy/J56Puu9/DeegQAOal\nS0l4/LFhiYTzsbW2UFcsi5Ha0yeDaVyfZPE993LdTeuGLYqObq+mukjenc2YGc30G5KHdb3RoLWy\njNbKMgAiUtOJzsge4xmNP0S3n7aXTwdrBDRRIUTdO+WqNcpTW3RoIg3429xyHcqysZ7RlUcMiJR8\nVEvAJzcAyZyZQIil/+hHd3c3O3bs4NixY8Exq9XKypUryc3NHfLnhL/VRfOfjyF55U0RlUWLdfUE\njDOilYilgoKCgsK1K1AkScJ/uoFAfWevseI5tGrU8VY5UhJmHPMvREkUqX/kEezvvw+Acc6cYXmd\nSJJEe10ttadPyIKk+CTdrS39HisIKmLSJ5CYO5mseQtJyh1+l7Dakg4ObakAwBoTwvVfnDjmP+PL\n4XU5Kd+3GwCN3kBG3tJxP+fRJmDr8ThpkLs16VIsRH5pMmrT1Z2Go0uz4m9z4622IYnSNV/vUHmi\nCUeXHNmMnxBBVOKFxeeBQIDDhw+za9cuPB65k5ZarSY/P5/8/Pxh+SxIokT7P0uD4sScn0joZ1IU\nw0UFBQUFhSDX7DeCIAiI3e5ecaIWUMWEypGSKMu4WYRIkkTTz3+BbavsN2KYMoWk//szKsPQdqTr\nS4v58NXnqT11ot/HNVod8Vk5JE6cTGLuZBKyctCFGIc8/0/i6PSw/ZkTSBKotSpW3j8V3Tg3wJMk\nifJ9u/F75EVbxsLFI/ozuRbwNTlofe5ksO2rYWIEEXfmotKNT4+TwaBPC8V5pAnJE8DX6Lim04ta\nznbRVCX7OpnDQ0idfGFDg+7ubjZs2EBdXV1wLCcnhxUrVhAxAh5M9r11eKvltC7zwgTCbpow7Gsq\nKCgoKFxbjO+V4zBRJ4YhqgRZlMSGImjG32Kq5fe/p+PvfwdAl5lB8tN/RT2ErllttTXs3fAiZR8d\n7DNuMJlJyJ1EUq4sSGInZKDWXJkdbzEg8u4zJ3D1FLsuuTOHqKTxv9hrrThDe7Uc8YlMzyBqQtaY\nzcXn66SubgMudw0mYwZmcy5mcw463dA8JYaLJErY99bRtb066AlkmhdH2JpMBPX4EPnDRXde3Ym3\nsuuaFShOm4fyY/UAaHRqcuYkofrERk19fT2vvvoq3d3dAERERLBq1SqyskbmPeFrdtK1vUqeQ6SB\n0JVpI3JdBQUFBTazTRcAACAASURBVIVri2taoGiSIiBp/JqvtT37N9qe+gsA2sREUp59Fk344Log\n2Vpb2P/PVzi1+30kSV5AqjUaZqy4iSlLP0NkUsqI1bFcjoNbKmgok80YJ+bFM3Fh/Kjcdzh4HA4q\n9u8BQGsIIWPhkrGZh6eJmppnqat/lUDAecHjWm0kFnMuJnMOZnMOZlMOJlMWavWVq/3wNTpo/1cp\nvtrehhKhy1OxXD/+PU4GgybSgMqsRbT78FTZMOcljvWURpyAX6Tko7OIPY7sWbMT0Yf03ag4efIk\nr7/+On6/7Ikya9YsVq9ejUYzMl8TUkBO7cIvgQDh67OviQicgoKCgsLIc00LlMES8Pt558//Q+ac\n+UyYPRet7soZM3a89hrNv/kNAOroKFKe+xva2IH7R7i6bRza/E8K332TgE+OWAiCiklLrmfh+rsI\njYq5IvO+GBWFLRRslwvvI5PMLP7c+C8wl1O7duH3ymlLGXlL0RqGZjA3VJzOaqpr/kpDwyYkqdeD\nR6029hEqPl8b7R37aO/Yd97ZKozGdFmwmHOJj1uHwZAw7DlJfpHuXWexfXAWeha0mqgQwm/NQj/h\n2utyJQgC+rRQXCfa8FR1IUnSNSXARFGirLAel11+fSXlRBEe0xslkiSJ3bt3s2vXLkD+eaxYsYJ5\n8+aN6M+h+8NafGflyIw5PxF92rX3WlJQUFBQGBkUgXIe1UUFFO/bTfG+3ehCQsiau5Dc/KWkTJmG\nSjVyO322t9+m8aePAqCyWkl59ll0KSkDOtfndnPkrS18tHUjXlfvAjbjuvnkf/4LRCWnjtg8B0pX\ni4udL5wGQGdQs/L+KWiugp3R9uoKOs5WARCdkU1k2ujlwnfbi6mufoqmpm2AGBwPC5tHWtq/ERGe\nh9fbgt1ejN1RIv9tL8XhKDtPyIg4neU4neU0N79FdfVTZGT8P5IS70EQhhY189Z20/GvUnyNPa8t\nAcyLkrAuT0HQjv/f6VDRpVlxnWhD7PYRaHejiRxdoXolCPhFmqo7qC9rw+uWoyLWaBPJOb1tgb1e\nL1u2bOHkyZMA6PV61q9fT2Zm5ojOxdfowPZeNQCa6BCsN47+55SCgoKCwtWDIlDOw97ejt5owuN0\n4HW5OLl7Jyd378QUFk7OwsVMzF9K7ITMIe8qSqJIxyt/p+nXvwZJQmU0kvL0XzFkXz7aEPD7Kdr5\nLgc2voqzqzM4npg7mUV3fZnEnIlDmtNw8fsCvPPXIrwueQF0w5cmERYz/gvMJVGk+mO5pbNGbyB9\nwaJRuW9n1xGqq56ite39PuNRUTeQlvoNrNZZwTG9Pga9PobIyMXBMVH04XRW9oiWEhx2Wby4PfUE\nAk5KS39GU9M2Jk38JUZj+oDnJfkCdO2owb6nVnaFBzSxRiJuz0aXfPX5mwyWPn4olbarWqD4vQEa\nKttpqGjH7+3tYBhi1pE9OzH4+WWz2Xj11VdpaGgA5HqTO++8c8i+JhdDCohyalegN7XrWha7CgoK\nCgrDR5AkSbr8YZ8e/F4vlQUfc3rvLiqOHibQk499jvCEJCbmLWFi/lLC4gZeY+GpqKThxz/GdeQI\nAIJOR/Jf/4Jp/vyLnuOyd9NaU0VzZQWF775JZ1ND8LHolDTy7/oS6TOuG9N0lA9eLubUXrnwdsZn\nksm7fewKzAdDU+lpyj6URULa3IUkTp15xe4lSRLt7R9SVf0UnZ2HzntERWzsTaSlfgOzOWdY92hr\n30tx8X/gdveY76l0pKd/h5Tkr6JSXXofwlPVRce/zuBvlQ0qUQuELkvGsjQZ4RLmfdcSUkCi/r8O\nIHkCGK+LJeL28Z+i+Em8bh/15e00VnYgBnqjcgaTjsSsSKKTw4JF8bW1tWzYsAG7Xa4vSk9PZ/36\n9RiNI7+5YNtRjW2HnP5pWZqMVSmMV1BQUFC4DIpAuQRuu53SQ/so3ruLs6dPwCd+VPFZOUzMX0r2\n/HyM1rB+hYLk99P23HO0/vF/kbxyao42MZH4xx/DNHcuAAG/j/b6OlqrK2mpqaK1poqWmirs7W0X\nXM8aE0veHfeQm7dk1IrfL0bxgYZgald8hpW135uJWj3+F7RiIMDRf76Mx2FHZzQxa/09qEeoEPiT\n2O2lnDr9A7q7i4JjgqAjIf42UlLuw2gcuVQXv99BecVvqa19iXNhEItlChMn/gqLOfeC40VPgK53\nKnEcbAhGTbRJZiJuz0YbZxqxeV0ttDxbhOdMJ5qoEOK+f91YT2fAuB1e6sraaK7pRDrPiNZkNZCY\nFUVkgqXPZ1NRURFbtmwJFsNfd911rFq1CrV65KMa3jo7zX8qBFFCE2sk9lszPzWiV0FBQUFh6CgC\nZYB0t7VSvG83p/fuoqW68oLHVWo1OqMJvdGI3mhCbzShCYgETp1C1daOJiCiESWsc+cSedNNdNu6\ngkKkve4sYiDQz117MYVHMHfteqYvX3nF2gQPhrY6O//65cf4fSIhFi13/MdczOFXrqnASFJ/8hiV\nB/cCcmF83AiYU/ZHR8chjhd9A79f9nxQq00kJt5FSvK96PVXrolBZ+fHnC7+EU6n3DpZEDSkpn6D\n9LR/Q6XSI0kS7tIOOjeXEeiQGwSgUWG9MRVzXuI10z54sNh21gTrJOIfmYfaohvjGV0ah81N3Zk2\nWuu6ggITIDTSSGJWFGExpqAw8TU68Nu97Cs5zN6PDgByMfyqVauY27NRMtJIfpHm/y2Q65lUAjEP\nzECXeG22cFZQUFBQGFkUgTIEWmuqOL13F6f37b6oQ/tQEVQqIhKSiEpJIzoljejUdKJSUrFERo+b\nzkLd7W5ef+Io3W1uBAFu/vcZJOeO33bO5xPweTny2sv43C4MoVZm3nbniDZAOEdT81ucPPlQsKA9\nNeXrpKbej1YbNuL36o9AwENl1R+oqXkaSZLFr1GfQYrje6gKInqFCaBLCyX89my0UVdv3cVI4Kno\npOWvcqQr4u6JGKeOjffM5XDaPNScbqa9sbvPeFismaSsKEIj+6ZpOQ430rypmN3ak1Sp5c8rHRpW\nhM0lLSYZdZgBTZgedc8fTZgeIUQz7M+brner6P7gLACWG1KwLlcK4xUUFBQUBoYiUIaBJIrUlZyi\nruS0XFjvdOCsq8N2/DhejwufSo1foyKg1+MTL4yQmMIjiE5JC4qRqJQ0IhKT0WjHPkJyMbrb3Wz+\n3VFsrbLr+rw1E7huddrYTmoQnC34mJqjch1I9tIbic4Y+ZqZmrPPcebMLwAJQdAwceKviI+7ZcDn\nS5IEfnFECok764/K0RTKei4uEF69gqiydag1Rqyr0jDNi0dQjQ/xO5ZIvgB1jx6AgIQ5L4GwmzNG\n574BCUQJQXvp1CdRlKg700ptSUufbNPIxFCSsqIwWS/0xHF81EjFpgI+0J6kXSXXm1hFIzf6pmOV\nLl5vIujVaCINmK6LwzQndtCvRe/Zbpr/rxBE0MabiHlghpLapaCgoKAwYBSBMkKILhctv/8D7S++\nCKJcoKrPzSX+Fz8nZPJkRDGA1+XC63TicTkxhYVjDL26fADsHW5e/10Btha5mHr6Dcnk3T70rmaj\njc/t5shrLxHweTFFRDH9ljtGdO6SJFJW/itqap4BQK02M3Xqn4iMyB/g+RKuola63qok0OlBHaZH\nG2dCG29CG2dEG2dCE2W8bAqW6PbjKmrFWdiMp6ILCT/taW/RlrEVSSXXHeiFRHJzHiMqYWBz+7TQ\n/OdCvDXdaBPNxH7rCjZOECW8VTachc04i1ohIBF+aybGGf2n/tk7XZQV1OO09Ua+YlLCSMyKJMTc\nf2ql7XAdu7buoFBdhSjIH/NpUUmsmrAIrR0CnR78nR4CXZ6g301/qMxazPmJmOfHozJcvlZL8ok0\n/fEo/mYXqAViHpyJLv7TV9OkoKCgoDB0FIEyAjgOHabhxz/GVyN3qhG0WqIe+Dciv/pVhHEcDRkM\n9g4Pm393lK4ecTLt+iTy12ddNeIEoOrwfuqKCgCYeONniUhOG7Fri6KHU6cfpqnpDQB0umhmTP8b\nFsukAZ3va3LQuaUcT0XXpQ9UC2hjjOcJF/mPyqjBXdyOs7AZV3G77NZ9HpqoEIQZDqrNT9LtPB4c\nj4tdS2bmw+j1AzcJvZbpfLsS++5aECDh0QWo9CPbPMHX6MBZ0IzzWAuBTs8Fj1uWJRO6PDUY0RID\nImdLWqgrawvWmRgtejJmJmAJv3hKXvnOIt7c/S4dPVETQRBYuHAh119//QXF8JIoIdp9+DvdBDo9\nsnDpcOMu6SDQ7g4eJ+jVmBcmYM5LQG2+eH1O51uVcrtqIPTGVEKvH5jHk4KCgoKCwjkUgTIAJFEk\n0NaGr6EBX30Dvvp6+d8N9fjq6/GcOh08NmT6dOJ/8XP0I2x0NpY4Oj28/rujdDXL4mTqsiQW3XF1\niROPw8HRf76EGAhgiY1n6mfXjdj8/f5ujhd9k44OufjYaJzAjOnPERKSdNlzRbcf244a7Pvrgn6N\nKpMG4+w4Ap1ufA0Ouf3v5d6lKgHEvgepzFqM06MxzoxBm2hGEAQkKcDZsy9QXvEEoigvPtVqE+np\n3yI56UuoVOO7MPxK4zrdRtsLpwCIuncKhuzwYV/T3+nBdawZZ0FzrwHmOVQChqwwPNXdSD1miobJ\nkUTckYPd7qGsoB63Q65jEgRIzI4iKTs62C74k/h8Pt77xzY+OlOI1HNIdFgkt6y/lcTExEHNWwpI\nuIpasH1wFn9T77wFrQrTnDjMixPRhPVNK/NU22h56hhIcke4mG/O+NQ2XVBQUFBQGDqKQDkPb20t\nzkOHewVIfT2+hnr8DY3BFsEXQzAYiPnudwi/5x6EK9Cuc6xwdHnY/LsCOnsWKFOXJLLo89lXlTgB\nKN+3i8Zi2S17ymfXYY1LGJHrejxNFB67F7u9GACrdRbTp/0VrfbSC1tJlHAWNNP1diWi3ScPCmBe\nkEDoZ1JQGXsjb5IvgK/Zha/Bga+x90/wvPMQdGpCpkRinBGDPiPsootDl6uWM2WP0dLybnDMaMwg\nO/snA05JuxYRnT7q/+sgAJbrk7HemDbk6zhPtOIsaMFb1XWBwNSlWDDOjCFkahRqsw5fi5O2F04F\nvWjEMB0NE4wE9PJniSnMQObMBEyhF9aZnKO6uprNr71Oh0M2clVJAgtnzmPpTZ9BM4w22pIo4S5u\np3vXWbw15xXmqwSMM2OwLElCG2NE9AZo/kOB/Bw0ArHfmok2VkntUlBQUFAYPIpAOY+urVup/8HD\nAzpWMBrRJsSjjU9Al5ZGxBfuQZdybaUyOLo8bPmfAjp6dn2nLE5k8Z1Xnzhx2boo+NffkSSR8KQU\nJq24eUSua3ec4Vjhvbg9slFldNRyJk9+ErX64otIkL0hOreU9Vns6dJCCVuTgS5h4G1YA93eHrHi\nJNDpRpcSimFiBCrdwAVyW/teSkt/FmxJDBAdvYKszEcICRncjvu1QuP/HMHf5ESXbiXm69MGda6/\n00PXtgpcp9ouqOvQRIdgnBGDcUZ0v071otNH0wsnCVTLr4uAVqAtN5TYuQkkZERetJGBx+Nh586d\nHD58ODgWJYWydu1akmeNXKG/JEl4Krro3nUWz5nO3gcECJkciaBR4SyUu4RZV6VjWXL5CKKCgoKC\ngkJ/XBl3uqsUbXyvM7w6OgptQgLa+AS08fHyvxN6/o6PR2W1XnUL9cHgtHn7iJPJixJYfBVGTgBq\njh5CkuT8qZTZ80fkmh2dH3H8+P1Bj5PExHvIyf4JgnBxcRBw+LBtr8JxuDG4o66y6Aj7bDoh0wff\nRlpt0aG26DBkDT0NKTIin3lzt3H27PNUVv0vgYCDlpZ3aWvbTVrqN0hJuR+1+urwtxkp9OlW/E1O\nvGe7kfzigLtPeRsctD53AtHWG21VWXS9aXYJpov+jv2+AFUlLTTHawn3GLA0ulH7JGJO2QibGHtR\ncVJeXs7WrVvp6pJrl9SSitlSBsu+uJqQzOGnp52PIAgYMsIwZIThre2me9dZXCfl2hjXiV5TWV2K\nBfOiT6e4VVBQUFAYGZQIynmILhf+5mY08fGodJ/eXHynzcvm/ymgo8EBwKT8BJbelXNVtqJ1tLdS\n+Po/AIhKzyTn+hXDvmZz8zucPPVdRFFeiGZM+D6pqd+46OJTEiUcHzVie7cK0SnXGaASMOcnEnpD\n8ogXYg8Vj6eJsrJf0di0JTgWYkghK/s/iYq8/qoUp0PBWdhM+4YSAKK/OR19auhlz3GXddL20ikk\nj9xOPGRaFKa5cegnhF3yfSNJEu2N3VQca8TnkV8bKrVAMlqk/Y3BuiLLkiRCV6QFr+VyuXj33Xcp\nLCwMXitODGORNImML8/FkDE6fju+Zifdu2txFjTLc9WoiP33mWijL97CWEFBQUFB4XIoAkWhD65u\nWZy018viZGJePMvuzr0qxQnAqe3b6DhbBYLArNvuIsQ6vIVbXd2rFJf8mKDHSe5jxMffdtHjA3Yv\nrc+dxFdnD47pM8MIW5OBNmZ8LuI6Og5TeuZnwboagMjIpWRn/SdGY/oYzmx08Hd5aHxcTpeyrkrD\nsiT5ksc7jzXT/lppMKXL+tl0LIsun97ksnuoLGqks9kRHAuLNjFhRjwGow53eSftr5wOilrDxAgi\nPp9DWXUFW7duxW6XX1NaSc0cfyaTVMlEfWkKhszRESfn4+904zreii4tFH3K5QXd/2fvvuPjKq+E\nj//u9KZRG0mjLlnFspq7DdgUF2DtAE5IIKEEQgKbZLObzSZ58ybZTe+FZMm+CUnYJGBKaAFiwKFj\nYzC4N0m2JEuyukZlNBrNjKbe+/5x7THCVZZlFT/fz0cf27fNMyrWPfd5zjmCIAiCcDoiQBHiRnzq\nsq6BTvWGqeyyTFbePn2DE6+rmwMvPANARmk5xZevGNf1PEO72L37FhQlhlZroaryt6SmXnHacwb/\nfhj/u90AaJOMJF03C1NF6pSfjZDlKJ1dj9Hc/Ov4MjZJMlBZ+d+kp41/Fmqq6/7pdrXkbpYFV7GN\n1Gw72cWpmKzHZ1YVRcG3pZOhjS3qBq1Eys2lWOaevJfJMbGoTEdDH12HB+INF7V6DYWVTtJyRy8d\njfaP0L++lmjvCFFi7LQfoSZ8JL4/R05lWXg2CTorjk+VYzrPy7oEQRAEYTKIAEUAIOiL8Nyv9zBw\n9El/2aVOVn5yzrQNThRFoWbjc3h7upC0WhbedDtG69knoH9QJDLE9u3XEQx1IUkGFi74K4mJ804/\nBlmh+8fbkH0RDPl2HJ+pHFMC+1QQDvfT1HQvXd1PAmrzyaVLnsdsnlkFIT7I/UQ9gT29xLQSnYuT\n1Rq/EjiyE8kuScViMzL0YjO+d9QCCZJRS+od5addWqUoCgNdXo7UuAgfLSkMkJGfRN6cdPSnWOon\nB6M0PPQeL3W+i0ejPjwwaPVcEiqhJOpE0mlx3Fk+rlwkQRAEQZhKpsbid2FS+YdCvPD/9sWDk9lL\nnayYxsEJgKezHW+PevOYOadyXMGJoigcPPSNeLWukuKvnzE4AQi1DMVLAVsXZUy74ATAYHAwZ85P\nSHVcxYED/0Is5qOm9kssXPD4jO6ZEk5UyzxrYwrGsELIKIEC/R1D9Ld5yOwIou9UC0ho7AYcd1We\ntlu63xuk5UAP3v7j/URsSSYKqzNP23BRlmXe272d13vfJKZR81vS5URWhCpIUMygk3DcIYITQRAE\nYWYRAcpFrq9tmI3378c3qHa1Ll2Swco755yyEdx0oCgKrTvVXhYavZ6c6oXjul5n11/j/UIcjtXk\n5NxxVueN7FdLrqKRMFekjmsMky097Vpycz5Fe8eDeL37aGr+FSXFX5/sYU0I70CA9iE/x2r6zcqw\nY5iXTkdjP+5WD2n1w+i96gxIzKbDcnMJeufJ84mikRjth/robnHHK7fpDFryy9NJz0s67VI/r9fL\nc889R3OzWgJakiQuK1nI7Fo7GkUCrYTjk+XnpZmkIAiCIEwlIkC5iDXt7uW1B+uIhtUSvOXLMrny\ntrJpHZwADBxpwj+gBgfZlfPQm0/9hPpMfL56Ght/AIDR6KR8zk/PKn9EiSnx0qumkqRRjRenq+Li\nr+Hx7GDYV0tb2wOkJF92xhyc6SboD3NoeztRo4aYTkIbVZC7AlivNFFUnIZ9cw+xo8FJMEFH/+wE\nOmt7sHZ6yClxkJKZgCRJKIpCX/sQrXUuIkcrewE4C1PIK0tDd4bZtIMHD7JhwwZGRtTGjUlJSXz0\nox8lNzeXUKuXwE4XlgXpGAsTJ+6TIQiCIAiTRAQoFyFFUdi58Qjbn1eTeyUJln2shOqVOVM+eftM\nFFmmbdc2AHRGE1mVZ16KdSqxWIADNV88Wk5YQ0X5r8/YIf6YULMH2a8u7zJXp53zGKYSjcZIZeV9\nbN9xA7FYgNq6r7B0yYsYjadPCp8uopEYB7e1Ew3HQJLQ5dhQjgwTPjJEpMdP/59riB3tcWIoTyEy\nNxnahyCm4PcEqd/RgdlmwFmYQn/HEMODI/Fr21MtFFY5sSaeoYlnOMzLL7/Mrl274tvmzp3LmjVr\nMJnUc4359rMqfSwIgiAI05UIUC4y0XCM19cf5PDOXgAMJi3X3F1JfuX0XoJ0TG/jIUaG1C7XOXMX\nohtHP5uGhh8QCBwGoLDw30hOXnLW544c6Ff/opUwl8+Mzy2AxVLI7NLvU3fwq0Qiburqvsq8eQ8i\nSWfXzHCqUmSFhp0djAyrSx2zilOxJ0cYOjJMbChM7+/2oYTVmRDbZVkkXjeLdI1ETlk63S1ueprd\nRCMyI74wLQd64tc1mHTkV2TgyLafMfjv6urib3/7GwMD6syb0Wjkuuuuo6qqaoLetSAIgiBMTSJA\nuYj4PSE23r+f3tZhAOxpZj70L9WknCa5dzqRo1Ha9uwAwGC1kTmn8pyv5XK9EK9clZS0lMKCL5z1\nuUpMZqRGDVBMJclozDPrxywz8yO4B9+mp+c53IPv0Nr6RwoKPjfZwxqXlhpXvB9JstNGfnk6kY7j\nvWuOBSeJawqxXZEdDzb0Rh15ZelkF6XS0zpI12E3kVAUSYLMolRySx1o9adfziXLMlu3buWNN95A\nltXllnl5edx4440kJV34niaCIAiCMNlm1p2TcEq9rV42/m4//iF1iUp2aRL/9M9VmGzTPzfimJ5D\ntYT96k1l7rxFaHTn9u09MtLGwUP/CYBOl0RF+b1I0tlX4Ao1DcWb65mrHec0hqludun3GBray8jI\nEZpbfkVy8hISExdM9rDOSXeLm54WNwAWu5HShepSR32WFcmgQQnLao+Tm0qxzDv5cjatXkt2sYPM\nwhQ8vX4sduOonimn0tvby4svvkhraysAGo2Gq666iuXLl6PRTO9ZKUEQBEE4VyJAuQg07nTx+kMH\niUXUp7MVl2dx+SdK0Wpnzg1QNByife9OAEz2RDJK55zTdWQ5Qk3tl4jF1ECnvPznmEyZZzhrtMCx\n6l26mbW86/10OhuVlfexc+dNKEqYmtovsWTxC+j10ys3wtPriy/J0ht1zLkkD61O/bmQtBoSr5tF\nYE8v9lX5Z9WhXaPVkJKZcMbjgsEgmzZtYtu2bRxrRZWSksKNN95ITs6Zu9ALgiAIwkwmApQZTJEV\ntr/Qws6NRwA1GX75zSVUXTX9k+E/qHP/HqKhIAD5iy5BOsenz83Nv8Lr3QdATs6dpDlWjel8JSoz\nUnu0eldpChrTzP0RsydUUlz8NRobf0gw2MmhQ9+ksvJ/ps33VmA4RP2ODlBAo5EoW5qL0Tx6RtG2\nJBPbkrEFqKcjyzL79+/n1Vdfxe9Xl5RJksTixYtZtWoVRqPxvL2WIAiCIExXM/fu6SIXCcV4/cE6\nmvaoT/MNZh3X3lNB3gx8oh/y++iqUYMKW1o6qQVF53SdgYG3aG37IwAJtgpKiv/vmK8RPOxBGVGX\nd1lm6PKu98vN+RSD7q30D7xBb98/6Op6nOzsWyZ7WGcUCUU5+F4bsag6q1i8IOu0DRPPh+7ubjZu\n3Eh7e3t8W15eHmvXrsXpdE7oawuCIAjCdCIClBnINxjixd/to79dXaaUmK4mwyc7Z0Yy/Ae17d6O\nHFODgoLFy87pCX4o1Edt3VcB0GotVFbeh0Yz9qfZ8eaMOg2mOSljPn+6kSSJOXN+xvbt1xEKu2ho\n/AGJiQuw2WZP9tBOSY7J1O/oIBRQy0DnlqXhyJ64fiKBQIA33niDnTt3xrfZbDauueYaqqqqps2M\nkyAIgiBcKCJAmWGC/ggb7tvDYE8AgJyyZK69pxKTdeYkw79fYNBNb+MhAJJzC0jMzBrzNRRFpq7u\nK0Qi6tKs2aXfw2IpHPt1ojIjdeo1zLOT0Rgvjh8vgyGFiopfs3vP7chyiJraf2fxomfRaid2RuJc\nKIpC075uvAPqz4cjx05O6cTMdMmyzO7du3n99dfjDRc1Gg2XXHIJV155pVjOJQiCIAincHHcQV0k\nouEYG3+3Px6clC/P4opbZlYy/Acd2fkuKApIEgWLLzmna7S2PYB78B0AnBkfJjPzxnO6TrBxECWo\nlqOdKc0Zz1Zy8lIKC/6VliO/we9vpKHxh8wp+9FkD+sEnYcH6GsfAiAh2UzxvKwJmcFob29n48aN\ndHd3x7fNmjWLNWvWkJZ2cX1vCIIgCMJYiQBlhpBlhVf/Ukd3k3rzVbIonatunY2kmbnLR4Z6uhhs\nOwJAekkZluSx59cMDe2hufleAMzmfGbP/t45j2dkv9r7RNJrMJWpy7ui4Riu1kEsdhNJ6dYZvZyn\noOALDA6+i2doB11dj5OSsoyM9LWTPSxA7RLfWuvC1ao28TSa9cxemovmDMF7S0sLjY2N8f4kZ8Pr\n9VJXVxf/d2JiItdeey1z5syZ0V9/QRAEQThfRIAyAyiKwttPNtJ8NCE+uzSJVXeWz+jgRFEUjmzf\nCoBGqyNvwdl3eT8mEvFSU/slFCWGJOmprLgPnc52buOJHF/eZSpLQWPU4vOMjMp1SEq3UViVgdk2\nM5f2aDQ6aJozVAAAIABJREFUKip+xbbt1xONejh06JvYE6owm3MndVzunmGa93UTDqp5SlqdhrJL\ncjGcZgmex+Ph5Zdf5uDBg+f8ulqtlmXLlrF8+XIMhjP3RBEEQRAEQSUClBlgzyttHNjUAUBKlpU1\nn6tCq5+5y7oABo404etzAZBVWY3ROrbAQlEUDtX/J8Gg+nkrLv6/2O1V5zyeYMMgSujo8q4qB67W\nQZr396DISvwYT6+PvW/6ySpKIac0Ld5vYyYxmbIon/NT9h/4HNHoMAdqvsD8eevR6y98R/RIOErL\nARf9HUPxbYkOK0XzMk/ZRDESibB161a2bNlCNKoGNBqNBt0Ymn5KksSsWbO4+uqrSUmZ+YUSBEEQ\nBOF8EwHKNNewvYd3n20CwJpk5Lp/nYvRMjMT4o+R5RitO98DQGc0kV099g7mXV1P0Nu7EYDU1BXk\n5nxqXGM61pxR0mvoCoXo3Xu0mpcEebPTCI5E6G31oMgKnY1qHkRBZQapWfYZt+wnLe1qcnLuoKNj\nPcPDtezecxvz5j2E0XBhyi4risJA1zAtB7qJHA0atToNBZUZpOclnfLzXV9fz0svvcTg4GB8W1VV\nFVdffTV2+/RqQCkIgiAI05kIUKax9kNuXn9IXYJiMGm5/t/mkpBimuRRTTzXoTqCXvWpeO68RegM\nY1sy5fM10ND4fQCMhgzK5/x8XEGCEokRPKgu7wqmGujt8gKgN2opXZRDokMt75yRn0zL/m58niDh\nYJSGnZ3YHYMUVjmx2mfW162k+JuEw/309m7E5zvE7t2fYP689ZhMY6+yNhbhYITm/T24u4fj25Kd\nNmZVZ57QhPGYgYEBXnrpJRobG+PbMjIyWLNmDQUFBRM6XkEQBEEQTiQClGmqv8PHS78/gBxT0Ogk\n1ny+mtTsc8ufmE6i4TDte3YAYEyw45xTOabzY7EgNbVfRJZDgERFxa8wGMa3DCdYP4gSVpOovXb1\nR8qeaqF0UTYG0/Gb4oRkM1VXFNLb5qG1rpdoOIa3P8C+Tc1kzkohd3YaOr12XGOZKjQaPZUV/81B\nrZXu7qcIBFrYtfsTzJ/3MBZL/nl/PUVR6GsfoqWmh1hE/VroDFoKq5w4sk8+SxUOh9myZQtbt24l\nFlNnWoxGIytXrmTRokVotTPjayEIgiAI040IUKahYXeQF/5nL+GjJW1X31lOzuzkSR7VhdFVs5dI\nUO0pkb9wKZox3kQ2Nv4Qv199Ul5Q8AWSk8+tNPExiqzQt6UDDSBrIJhkIKs4lbw56WhOUqRAkiQy\n8pNJzbTTdqiPnhY3KNDd5Ka/Y4j88gzSchNnxLIvSdIyp+zHaLUWOjoeIhjsVIOU+euxWUvO2+sE\nA2Ga93Xj6fXHt6Vm2ymscp40EV5RFOrq6nj55Zfxer3x7fPnz2fVqlXYbDM/0BcEQRCEqUxSFEU5\n82HCVBH0R3jml7sZ7FZvxi67sZj51+RN8qgujHDAz66nHkGORrE60ph7w01jupF39W6kpubfAEhM\nXMSC+Y+i0Zx7jB4ORmnY1ob95U40MgTSjKTeUkZq1tnnK/iHgrQc6Ik3DgR1pqWwyokteeo1OjwX\niqLQ3PwrjrT+DgC9Ppl58x7EnjC22a8Trisr9LQO0lrbixxTZ030Rh1FczNJyUw44XhZlnG5XLzy\nyiu0tLTEt2dlZbF27VpycnLGNR5BEARBEM4PEaBMI9FIjOd/s4+uRrWXQ/WKHJbfXDIjnrafjaZ3\nNtNzqAaAijU3kJR19uVrR0Y62L7jOqLRYXS6RJYueWFc+RDeAT/1OzrRdflJa/ABkHBTCYkLnWO+\nlqIo9Hd6aa11xUvhAphtBpIzbCQ7E0hIsZx0RmYqioSiBLwhAr4QBqMOe6oFvVHHkSO/p6n5FwBo\ntTbmzf0TSUmLxnbtcAxPr49B1zAel49o5Hh/kvS8JAoqMtAZtAQCAVwuFy6Xi97e3vifkUgkfrzZ\nbGb16tXMnz8fjWbmVVQTBEEQhOlKBCjThCIrvPKnWg7v6gWgaH4a19xTOW1uWscr4BlkzzN/BUUh\nKTuPin+6/qzPleUIu3bfgte7B4DqqvtJS7vmnMahKApdTW5a61yggKN+GIs7jGTUkvVflyCNo7xz\nLBKjvaGf7qYBPvhTqdVpSMqwkZJhIyndhv40PTxONe5QIILfG1SDB28IUDCY9ZjMegwWPUazHqNF\nj06vPaugV47JBIZDR68XxH/0upFQ9IRjzTYDCakWIpoX6Or/GQAajZm51X8gJWXZacc94gsz2DPM\noMuH1x2A931uZDlGmBHMDhge8cSDkeHh4VNeU5IkFi1axIoVK7BYLGd8n4IgCIIgXFgiB2WaeOdv\nh+PBSWZxIqs/XX7RBCcAbbve49hde8HiS8d0bnPLffHgJCf7k2MOThRFwe8J4nYNM9jjwz8UBECj\ngMWrPpE3l6eOKzgB0Oq1FFRk4CxIpr/Ly2DPMMNuNd8mFpUZ6PQy0KnmTCSkmEnOSCDZacOSYBwV\nUETDsfcFIscDh2PLoM5Eo5XiwYrRrH4YLHq0Wg0jw6Gj1wsy4g+PChZOZ8QXZsQXBpaj14WImH6D\nLI+wd+9nKCn6FTl5a+LvQY7JeAcCuHvUmZJjjS4/OMYeXwsHGnfFE9xPxWQykZ6eTkZGBhkZGRQU\nFOBwXJiSx4IgCIIgjJ0IUKaBPa+2se/1dgCSnRbWfr56xlR7OhteVw8DR5oBSCuejTX17G8u3e53\naG39PQA2WxnFxd84q/NiURlPn4/BHh+DLt8JswJGs55Cq4VAVC0vbK4+fze8JquBnBIHOSUOIuEo\nHpefQZc6gxCLqkHGsHuEYfcIbQd7MZj1JKVZCYeiBIaCo5aJnYrRrEfSSIRGIqOaSQLIMeV9AcXZ\nkSQwJxix2k1Y7EYsdhPmBAMhfwSvO4B3IMCwO4AcU9BFVyEFTYRNv0SRIjQc/ndaD7aRmrQWSZLw\n9PmQYydGPiargWSnjeR0G9v3vsveQ9tH7ddoNKSmpsYDkWMfdvvM6zUjCIIgCDOZCFCmsFhE5u2n\nGql5qxMAS6KB6784D5N1ZjdifD9FUWjdsRUASaslf+HSsz43FO6ntu4rgIJGY6ay4jdotafumRL0\nhxl0qU/th/oDJ9y4A1jsRlKcCWQWpTL0RL06LpMWU8nEVFHTG3Sk5SaSlpuILCsMuwPqGHuG4wFE\neCRCb5vnpOdrdZp4wGC1G7EkmrAkGOMBrqIoRMIxQoEI4ZEIoUCE0MjRj6N/j4ZHz1AYzLpRgYjF\nbsRsM550Rs9kMZCYpvaBkWUF/1CQYXcA78A/4R40M6L7EUhhQvpf0uceQRe5Nn6uJEFCqoWUozNF\nZpsRWZb5xz/+wY4daqnphIQEVq1ahdPpxOFwjKnjuyAIgiAIU5P4bT5FeQdGePmPNfS2qmvpTTY9\n1/3rxdGI8f3cbUfwuroByCyvwmg7sTrTySiKTF3dVwmH1Y7us0u/i9VadMJxvsERBrq8uF0+RoZD\nJ+zXaCQS06zxZPVjzf7kYJRgvRsAc4UDSTfxSdYajUSiw0qiw0pBRYaam3F0ZsU3OILBrFeDkHhA\nYsJg1p129kCSJAxGnVqO9xRVw2JRmdBIhFgkhtlmRGc4t9k7jUYiIdlMQrKZrKJUFOU2erryOdTw\nL8gEiJj+HxpdiPSU20nJTCAp3TZqpjAWi7Fhwwb27dsHQFJSEnfccQcpKePrYyMIgiAIwtQiApQp\nqLV2gFf/XEvIry7VySi0c+09lRddcKLIMq073wVAazCSM3fhWZ/b1v4n3O4tAGRk3EBm5kdH7Y/F\nZFprXfS0DJ5wrsGkI9mZQHKGjUSHFe1Jgo/gQTdE1RmW87m8ayzMNgNmWypZRakT+jpanQZLwqln\nns6VJElkZl+OxfYwe/fdRTTqJaR7gGHNfjJs/wedfn782Gg0yt/+9jcOHjwIgMPh4I477sBuP/uS\nzoIgCIIgTA9n/dj3d7/7HXPnziUxMZHExEQuu+wyNm7cOOqY7373u2RnZ2OxWFixYgV1dXWj9n/5\ny18mNTWV/Px8HnvssVH7nn/+ea644opxvJXpT5YVtj/fzAv/b188OKm6KoePfGXBRRecALgaDjLi\nUQOI3HkL0RvP7nMw5N1HU9MvATCb8yib/f1Rswj+oSD7N7eMCk5syWZyy9KYe9UsFl5TovbScCac\nNDgBCOxXZ2Yksw5TUdI5vT9BlZg4jwUL/orBoAZ6Hs82du76GPv3fw6//zCRSITHH388Hpw4nU7u\nuusuEZwIgiAIwgx11mWGn3/+eQwGAyUlJciyzIMPPsjPf/5zdu/eTWVlJT/72c/48Y9/zEMPPURp\naSnf+973ePvtt2loaMBqtfL888/z2c9+lhdffJH6+no+/elP09HRQUpKCj6fj/nz5/PCCy8we/bs\niX7PU9KIL8yrf66jvU5dNqQzaFjxyTJKF4+9r8ZMEItG2PXUI0QCAYxWGws+dhuas8gviEaH2b79\nBkaCbUiSnkULn8RurwbUfIvuZjetdb3x/JKEZDPFC7Ix2wxnPTY5GKXrB+9BTMGyKIOUj5We25uc\nwRRFoaWlBbvdftYVs8JhN62tv6e942EU5ViCvgafr4ra2iLCISs5OTncdtttmM0zo4mlIAiCIAgn\nGlcflNTUVH76059yzz33kJWVxRe/+EW+/vWvAxAMBklPT+fee+/lnnvu4Re/+AV79uyJz5w4nU5e\nfPFFFi5cyBe/+EXS0tL41re+dX7e1TTjavHy0h8P4BtUcyCSnRb+6Z+rSMmyTvLIJk/ngT0c2a4m\nx5dcsYr0krIznqMoCrW1X8LV+wIAxcXfID/vbgDCwQiHd3fh6fPHj8+Z7SC3NA1pjOWa/btcDD7V\nAIDj05WYSicmQX4627hxI9u3q1W2CgsLWbx4MbNnz0arPXP+SjDYRXPzf9Pd8yygVi2TZQ1+3xJW\nr/4VNlvGRA5dEARBEIRJdk45KLIs8+STT+L3+1m2bBktLS309PRw9dVXx48xmUxcccUVbN26lXvu\nuYe5c+fywAMP4PF4aGpqIhgMUlxczHvvvcemTZvYvXv3eXtT04WiKNRs7uTtpxrjZVWLF6az4pNl\nGEwXb3pQLBKmY7/6/WBOTCat6OxmKLq6n4wHJ6mpV5KX+2kA3N3DHN7bFa9GZbToKVmYjT3l3Jr0\njRzoB0Bj0WEsSjyna8xk27ZtiwcnAC0tLbS0tJCQkMDChQtZuHAhCQmnLnZgMmWRl/dt3n03AVvC\nazgcHWg0Mgn299i56xoK8j9Lbu6n0GpFk0VBEARBmInGdBdcU1PDpZdeSjAYJCEhgWeffZby8nLe\nffddJEkiI2P0k82MjAy6uroAuOaaa7j99ttZvHgxFouF9evXY7Va+exnP8vvf/97/vSnP3Hfffdh\ntVr5zW9+w6WXjq0Z33QTCcV485FDNO5wAWqFo8s+Vkz1ipyLvmdDd90BokG1GWLugsVImjOnSg0N\n7aW+/rsAGAzplM/5OXIMjtR24zpyPNckLSeRwmrnOfeRkQMRgo3q9cyVDiTtxFfvmk4aGxt56aWX\nALDZbFRUVLBv3z6CwSDDw8Ns2rSJt956izlz5rB48WLy8/NP+H4fGhpi/fr1DAzEgBXMnWsjN28H\nQ0M7icV8NDXfS3vHegoL/o2srJvRaC6estuCIAiCcDEYU4BSVlbGvn37GBoa4umnn+aOO+5g8+bN\nZ33+t7/9bb797W/H//2jH/2IZcuWYbfb+c53vsP+/fvZt28fN998My0tLTO2p8Fgj59//KGGwW51\nuZE1yci191SSKZ7GEw2H6Tygdn23JKfiKCw+4zmhUB8HDvwLihJGknRUVtxHOGClcVdzvFeIVqdh\n1txM0nLG9zkeqRuA2ORW75qqent7efrpp1EUBZ1Oxy233EJ2djarVq2ipqaG7du309PTgyzL1NbW\nUltbS1paGosXL6a6uhqTyYTb7eahhx5iaGgIgPnz53P99dcjSRIDA5toavoFPn894XAf9Q3fpq39\nf8nOugWHYyUWS9FFH9wLgiAIwkwwrhyUq6++moKCAr75zW9SVFTEjh07WLjweCnY6667jrS0NP7y\nl7+ccG5DQwNr165lz549PPjgg7z99ts88cQTAKSnp/Pmm29SUVFxwnkDAwP09/efsN3hcJCaOrrc\n6kCnjyONnZjT5BOqMZ3s+LFe/2yPj0Vl+tqG6TrsoX5vKw0HjhCLqJ925yw7l320mNyCrAs2nql8\n/L43X6Vuq1oeuPCSK0jOyT3t8X193Wx+69P4fDUAFOR/AU34KgK9MvYEtbpWQoqZkoXZmCyGcY1f\nkRXcT9YT6fCR6nBQ8cNrkLTSKY8f6/Wn8/GBQICnnnoKr9cLwC233MKyZctGHasoCgcOHGDz5s0c\nPnyYWOx4A8ikpCSWLl1KfX09Pp8PgKVLl7Jo0SLcbvf7rhGjr/9NhocfxWh0jbq+2ZSHRrsUqCbR\nXoVGc7zwwWR/fsTx4nhx/MV7/MVa/EcQxmNcAcqqVavIzs5m/fr1J02Sz8jI4N577+Xuu+8+4dwV\nK1bwpS99iXXr1nHfffexefNmnnnmGRRFISUlhc2bN1NdXX3u7wx485FD1L3dhdGio3hhOqVLnGQW\nJY45KXqswsEoPc1DdB8eovuwB1eLl2hEPuG4hWvyWXL9rJN24L4YRUNBdj75MLFwGGuqg7nrbj7j\nE/FD9d+is1MtvJCRfiN4voB3IKDulCB3dho5JY5xf80VWWHwb40Edqk3xdZLM0led+bZnYtBNBrl\noYceor29HYCVK1eesWS43+9nz5497NixIz5b8n6XX345K1euPOXXX5ZDdHb+lfaO9YyMtJ6wX6u1\nkpKyHEfqSlIdV2E0iNkuQRAEQZguznoN1Te+8Q0+9KEPkZuby/DwMI8++iibN2+O90L50pe+xE9+\n8hNmz55NSUkJP/zhD0lISOCWW2454Vr/+7//S0pKCuvWrQNg+fLlfOc73+Gdd95h7969GAyGcT9x\nUGSFttoBAEKBKLVbuqjd0oUtxUjpYielSzJIzbaN6zWOCXjDdDd56G4couuwh/4OX7yM7QfZUoxk\nFSdRdlkmuWWiA/b7ddbsIxZWl2TlLVh6xuCks/PxeHBiT5hLbOBu/B41ODFa9JQuzCbhHBPh30+R\nFQafOR6c6DIs2Ffnj/u6M4GiKGzYsCEenFRXV3P55Zef8Tyr1cry5cu57LLLaGxsZMeOHRw+fBhQ\nH3yc6RoajZHc3E+Rk3MngUAL/QNv0N//BkNDO1GUGLGYn76+l+nrexkAu30ujtQVOBwrsdnKxVIw\nQRAEQZjCznoG5a677mLTpk309PSQmJhIdXU1X/va11i9enX8mO9///v84Q9/YHBwkKVLl/Lb3/6W\n8vLyUdfp7e3lkksuYevWrTidx3t8/OxnP+Pee+/Fbrdz//33j6oIdq4ioRgt+/to2O6irdZ9QtCQ\nmmOjdEkGpYszsCWfuQlgLCbjcQVwd/rp7/QxcPTD5w6d8pyULCuZxUlkFSeSWZx0UTZcPBuR4Ag7\nn3wYORLBlpZB9fUfPe1N5NDQbnbtvhVFiWAwOMhJ/TPdDerxqVkJFM/LQnuOifDvp8gKnmcP49/R\nA4Au3ULaP1ehHUPflJlsy5YtvP766wDk5uZy5513nnPumMfjIRKJkJaWds7jiUS8uN1b6B94g4GB\nzUQigyccYzLlkp19C1mZN2EwiIcEgiAIgjDVjGuJ13QyMhzm8K5eGrb30NPsHb1TguySJEqXOCla\nkIbBrCPgDTPQ4WOg089Ap4/+Th+DPX7k6Kk/XRqNRFp+AlnFSWSWJJE5KxGTTVQYOhtHtm+NJ8eX\nX3s9yTl5pzw2FHKxfceHCYd7kSQd5aV/pmV3CoqsYLIamLtiFtrzUF1LkRU8zx3Gv/1YcGIm7Z5q\ntAkiOAGoq6vjySefBNQckrvvvhub7fzMSp4PihJjyLuX/v43Geh/A5+/ftR+jcZAevpacrJvx26f\nJ2ZVBEEQBGGKuGgClPcb6huhcUcPDdtdDPYERu3T6CQMRh1Bf+S015AkSMqwkJptIzXbhrMokYxC\nO3rD+J/aX2zCIwF2PfkwcjRKQkYmVR/6yGlzD3btvg2vVw1mSku+j7vpUvxDalniqssLzs+yLkXB\n8/cm/O91A6BLM5P2zyI4Oaazs5O//OUvRKNRDAYDd999N+np6ZM9rNMaGemkv/9VOrsex+9vHLUv\nIaGCnOzbyci4Hq1WdKkXBEEQhMl0UQYoxyiKQn+7j/ptPTTucBHwhk96nNluwJFtJSXbhuNoQJLs\ntKATwch50fLe23TV7gOgYs06krJyTnqcoigcOvRNurrVp/ZZmTdjlf6Djnq1akpWcSoFFePvMq4o\nCp4NTfjfPRqcOI4GJ3YRnAB4vV4eeOABhoeHkSSJW2+9lZKSkske1llTFAWPZwcdnQ/T1/cKihKN\n79Pp7GRmfoyc7FuxWAoncZSCIAiCcPG6qAOU95Nlhc76QZr29BGLyqRmWUnNsZGaZcMibkwnTMjv\nZ/dTDyPHYiRmZlO59sOnPLaj8zHq678FgN0+n7KiP1OzpQNFAXOCkblXFqIZ59IuRVEYer4Z31a1\nwaganFShtRvHdd2ZIhwO8+c//5meHnXZ25o1a1i6dOkkj+rchUK9dHU9QWfX44RCPaP2pSQvJyfn\ndlJTV6DRzMyeTIIgCIIwFYkARZhUze++RXfdAQCqPvQR7M6skx7n8exk957bjybFp7Fo4XPUv+cn\n4A2BBNWXF2JLHt/SHEVRGHqhGd87R4OTVJM6c5IoghMAWZZ58sknOXToEACLFy9m7dq1MyJ3Q5aj\n9Pe/TkfnIwwObh21z2h0kpZ2LQ7HSpKTFqPRiO8HQRAEQZhIIkARJk3IN8yupx5BkWWSsnOp+Kcb\nTnpcMNjNjp0fJhzuR5L0LFzwGENdOXQ0qEu7ckod5M0ZX/6DoigMvdiC7+1OALRHgxOdCE7iXn31\nVd555x0AioqKuPXWW9FqZ94yR7+/iY7OR+nu/huxmG/UvvPZX0VRFEKhbny+esLhE5u7nY5GYyAl\nZTkGw4nN4gRBEARhuhMBijBpDr/9Jq76OgCqb/gYCWkn5o/EYiF277kFr1fNUSmb/SMSLevYv6UF\nFLDYjVRfOb5ml4qiMLSxBd+Wo8FJytHgJEkEJ6DOnGzbto2XX1Z7ijgcDj7zmc9gNs/sZPJo1I/L\ntYEe1/Px/iofdLb9VaLRYXz+Bny+eny+evy+enz+Q0Sjw+c8Pp0ugVmF/0F29m1iCZogCIIwo4gA\nRZgUQe8Qu59+DEWRSc4toPyaD51wjKIoHDz0Dbq7nwIgO/tWSou/x77NLYwMh5AkqL5yFtbEc+8t\noygKQ/84gu+tDuBYcFKFLkn0q1EUhfr6el5//XX6+voAMJvN3HPPPaSkXFz9Q9T+Km/R3/8m/QOb\niEY9JxxjNGSQ6rgKR+pVyHIEn+/Q0aDkEMFgx4SNzWadTWnpd0lOXjJhryEIgiAIF5IIUIRJ0fjW\n6/Q2qrkMc9fdjM1xYnO+9o6HaWj4LgCJiQtZMP8R2g8O0nl4AIDcsjRyZ59bUz85HCPqCuDf7YpX\n69ImG9WZk7No2jnTtba28tprr8U7xAMkJCRw8803k5ubO4kjm3yKEmNoaA/9A2/S3/8Gfn/DmM7X\naMzYbLOxWUux2cqw2WZjMuUgSWdf4GF4uIbGxp8wEmyLb8vIuIGS4q9jNI6/kt1UFA4P4Ha/g9GY\njt0+D61W/JwKgiDMVCJAES64kSEPu//2GCgKKfmzmLN6zQnHeL0H2LnrYyhKFKMhg8WL/07Yb+XA\nliMAWBNNVF1ReMalXYqsEHMHifT43/cRIDowAu/7ztcmHQ1OUqbPTU84HKajo4O2tjb6+vrIyMig\ntLSUjIyMc05cd7lcvPbaazQ2Hu8TYjKZWL58OUuWLMFgEBXtPmhkpIP+AbUZ5KDnPWT5WLlyCbM5\nPx6EqEFJGWZz7piCkVOJxUK0tT3Akdb7kWW1D5BWa6Ww4F/Jzf0UGs3M+FopikKP6+80NPwgPnMl\nSXrsCZUkJi0iKWkxSYkL0euTJnmkgiAIwvkiAhThgmvY9Cp9TepT53kf+QTWlNGJvrHYCNt33EAg\n0Iwk6Vi44Alstmr2b2pmxBdG0khUX1mI1T46mFAUhXCrl0inj0hPgHCPn6jLjxKWTzseXZoZx12V\nUz448fv9tLe309raSltbG93d3cjyie/NbrdTWlpKaWkphYWF6PX6M157cHCQN998k/3798e36XQ6\nli5dyvLly2d8vsn5EosFGBrag06XgNVajFY7/qahZzIy0knj4R/T1/dSfJvFMovSkm+Tmnr5hL/+\nRAoGuzlU/y0GBt4847FWaylJSYtISlxMUtIiTKaTVwQUBEEQpj4RoAgXVMDjZs/f/gpAamExZSuv\nPeGY+vrv0tH5MABFs75KQcHnaanpobvJDUDenHRySkdXT1JkhcEn6wns7Tvt62tTTOidVvROy9E/\nregcZqRxJNlPFI/HEw9GWltb6e8/daUnq9WK3+8/YbtOp2PWrFnxgMVut4/a7/P52LJlCzt27IgH\nO5IkMX/+fK666qoTjhemrgH32zQ0fJ9AoCm+LS3tWkqK/xOzOXsSRzZ2iiLT1fUEjYd/Gq+kZjA4\nKCn+TzQaI56hHXg8OxgergNO/gDCZMomKXERVmspOl3CKT+0WtuMKJUtCIIwk4gARbigDr3xMgMt\nh0GSmH/jJ7AkjU627u9/k3377wYgMXERCxc8xrA7SM3brQDYks1ULS84IaAYeuUIw28cz5eQTDo1\nCMm0xgMRvdOCxjj1qh3JsozH48HlcuFyuejt7aWjowOv13vS4yVJIjMzk/z8fPLy8sjLy8NqteJ2\nu2loaKChoYEjR46cdHbF6XRSWlpKcXExTU1NvPvuu4TD4fj+8vJyVq5cicNx7uVzhckjy2HaO9bT\n0vL+j3SmAAAgAElEQVQbYjE1YNVojOTnf578vHumRd5GINDKwUPfwOPZFt/mdH6E0pL/OmEZVzTq\nY8i7F49HDVi83r3IcmiMr6hBp7PFAxaD3oHDsZKMjA9hGEcZaUEQBOHciQBFuGD87n72PvsEAGlF\npZRedfWo/eHwANu2ryUc7kertbF0yQsY9Nns29RE0B9Bo5GYe9UszAmjy/8G9vTifqIeUDu/O+6q\nQJtimpJPRQOBAL29vfFg5FhAEolETnmOXq8nJyeHvLw88vPzycnJOWMuSCgUoqmpiYaGBhobG086\nu/J+hYWFrF69muzs6fWkXTi5UMjF4cM/p8f1XHybTpd4dAmUmreRkFAxpfJUFCVGe/tDNDXfG8+p\nMRozKSv7IY7Uq87qGrIcZni4Bo9nJ56hnXg8u05ace1sSJKWlORlZDjXkea4Gp3Oek7XEQRBEMZO\nBCjCBXPwtY24W1tAkljw0VsxJx5/GqooCvsPfI7+/tcAKJ/zCzIzb6R5fzc9LYMAFFRkkFU8Ol8l\n1Oql74/7IaYgmXWk/8tc9GkTv+7/bAWDQd577z06OjpwuVwMD5+570VSUhJOpzM+O5KZmTmuhoiy\nLNPV1RWfXenp6YnvczqdrF69mqKioikZ0AnjM+jZQUPDd/H5Dp2wT6MxkWifF080T7TPn7SbcJ+/\nkYMHv4HXuye+LTv7NoqL/g86XcI5X1dRFGQ5SDQ6/IEPr/pn7AP/jvrw+Q4SDHaOuo5GYyYt7Wqc\nGTeQkrIcjebMeV2CIAjCuRMBinBB+Pr72Pf3JwFILymj5IpVo/Z3dT3JwUPfUPenraGy8n/w9geo\n3aou7UpIMVO5vGDUTXTUHaT3t3uR/RHQSDg+XYmpeOpU8vH7/TzyyCN0d3efdL/RaCQjI2PUR1pa\nGibTxC7D8Xq9tLS0YLFYKCoqQqMZf0UpYeqS5Sgu1/MMuN/C49lBKHTy70dJ0mKzlb8v0XzhhC9x\nkuUIra1/oOXIb1EUdamh2ZzPnLKfkJy8dEJf+1QURWFoaBc9rg309m4kEhkctV+vTyEj/UM4nTdg\nt88Xgb0gCMIEEAGKcEEcyz2RJA0LbroNU8Lx5OtA4Ajbd1xPLBbAaMhg6dIX0WBn75vNhEYiaLQS\nc68qwmw7vhxFDkbpvX8fUVcAgKQbi7Etybzg7+tUvF4vDz/8cLzBYUpKCllZWaOCEbvdLm5uhAsu\nGOyK52x4hnbi9zee8liDIX1UiWSbbTZWaxEajfGU55xJNOonGOpiJHCE5pb78PkOHt2jIS/3LmbN\n+g+02qlRNU6Ww7jdb9PT83f6+l+LLz07xmzKI8N5PdnZt2IyOidplIIgCDOPCFCECRcc9rLrqUdA\nUUgrnk3plavj+2Q5yq7dH8fr3QvAvHkPkZqynKa9Xbha1bXjhVVOMmcdT6ZXYgoD62sJ1qtPNm3L\ns0m6btYFfEenNzg4yPr16xkcVMdXXV3NunXrxrVMSxAmSiQyiMez62jOxk6Ghw+gKNFTHi9JWiyW\nWdiss4/2eFEDF6MxE1AIhwcIBjsJhrrUP4Ndoz5OlhNitZYwZ87PSLTPncB3Oj7RqI++vlfocW3A\n7X6H91cP0+tTWLTwKSyWgkkbnyAIwkwiAhRhwrVse5uumn0AzP3wzdhSj3d/b275DS0t9wGQm/Mp\nSku/hafXR927aodsu8NCxWX5o2YaPM834XunCwBTWQqpd5RPmTLB/f39rF+/Pl6Ba9GiRaxdu1Ys\noxKmjVhshCHvXrze/fh99fh8h/AHmk4btABotTZkORxfqnU2JElPQf7nKCj4/LhmZS60UKgPV+8L\nuHo24B1WeweZzfksWvgUBkPqGc4WBEEQzkQEKMKEiobD7Hz8IWKRMImZ2VSu/XB839DQXnbtvhlF\niWG1lrB40XMosp69bzQRDkbRaDXMWzkLk+X40i7fe114nlP7POidVtI+Xz1lSgf39PTw8MMPxytm\nXXbZZVx99dViGZcw7clymECgBZ/vED5fPT6/+mco1HPGc7VaCyZTNiZTFiZjVvzvRlMWNmsxen3y\nBXgHE6ep6Zccab0fALt9LgvmP3JBGnQKgiDMZFPjzk6YsXobDhKLqE9UsyqPL9+IRv3U1n0ZRYkh\nSQYqyn+NVmvi8P4uwkH1SW1BZcao4CTYOIhngxqcaGx6Uu8snzLBSUdHB4888gjBoLpGfcWKFVxx\nxRUiOBFmBI3GEM9Feb9IxHM0YKnH7z+MVmseFYSYTNnodDM712rWrK8QDPXQ0/MsXu8+amr+naqq\n+9Fopsb/TYIgCNOR+B9UmDCKLNNVqy7tMtkTSc4tiO9rPPwjRkbUCl1FRV8mIWEO7p5hetvU9elJ\naVYy8o9X5Ir0Bhh49KC67FsnkXpHObrkqdF0rqWlhb/+9a/xhofXXnstl1566SSPShAmnl6fRHLy\n0kmruDUVSJLEnLIfEw714R58m/6BN6hv+A5ls384owMzQRCEiSQWxgsTZqC1hZBP7fuRVTE3/su6\nr+81urrUho1JSUvJy/0MkXCMpr1q+VOtTkPR/Kz48TF/hP6HalGCMQBSbpqNMc/+wZebFA0NDTz6\n6KPx4OT6668XwYkgXGQ0GgNVVb/FZisHoKvrcY4c+e0kj0oQBGH6EgGKMGGOzZ7oDEbSS8oANbn0\nWL8TnS6BivJfIkkaWg70EAkdW9rlxGhWG6EpUZmBh+uIDahLp+yr87DMTfvgS02K2tpaHn/8caLR\nKJIk8dGPfpSFCxdO9rAEQZgEOp2NeXP/hMmUDUBzy6/p6n56kkclCIIwPYkARZgQw30uhl3qjEhG\nWQVavR5FUTh46OtEIm4AZpd+H5Mpi4EuL/0dQwAkZ9hIz0sE1IZpg88eJnxErYhlnptGwqq8SXg3\nJ9q7dy9PP/00siyj1Wr5+Mc/TlVV1WQPSxCESWQ0pjNv7p/R6dT/ww4d+k8GBt6a5FEJgiBMPyJA\nESbEsbLCkqQhs1y9ce/sfIyBgU0AZGRcj9N5A5FQlKZ9aiCj02sompsZX9rle6uDwC4XAIa8BFI+\nVjol1nRv376d5557DkVR0Ov13HrrrZSVlU32sARBmAKs1mLmVv8RjcaAokQ5UPMFvN4Dkz0sQRCE\naUUEKMJ5F/IN099yGADHrGKMVhs+fyONh38MgNGYyezS7wHQvL+HaFjNLSmsysRwdGnXyCE3Qy8d\nAUCbZCT1k+VI+sn9do3FYrzxxhts3LgRAKPRyO23305RUdGkjksQhKklKWkRFeX/DUjEYgH27b+b\nkZH2yR6WIAjCtCECFOG86647AEfb62RVzmVkpJO9ez+FLAcBifLyX6DXJ9LfOcRAl7p8KyUzAUeO\nmvge6Qvg/ushUEAyaEi9swJtguFUL3dBdHd388ADD/DWW+pyDbPZzJ133kl+fv6kjksQhKkpPf1a\nSku+BUA43M/efXcRDrsneVSCIAjTgygzLJxXsUiYnvpaAOzOLPR2Dbt2fTLe0K1o1pdJSb6UcDBK\n8351m86gZVa1urRLDkYZeLgOJaTOqiTfNBtDpnVy3gwQiUTYvHkz77zzDsd6mqalpXHTTTeRnp4+\naeMSBGHqy829k2Com7a2BwgEWti//5+ZP/9htFrzZA9NEARhShMBinBeuRoOETtacjd9ziz27r0z\n3u8kL/cz5Od/HkVRaN7XHV/aNas6E4NJhyIruJ9sINo7AkDCilwsVY7JeSNAW1sbGzZsoL+/HwCN\nRsPy5cu54oor0OnEj44gCGdWXPQ1QqEeXK7nGfLuobb2P6iq+i2SpJ3soQmCIExZ4i5LOG8UWab7\naGlho91Mm/sH+HyHAMjKvJni4m8gSRJ97R7cPWp/lNQsO45sdWnX8BttBOsGADDNTsZ+9eQsnwqH\nw7z++uts27Ytvi0zM5N169bhdDonZUyCIExPkqShfM7PCIf6GPS8R1//q9Q3fJ/Zpd+dEkU/BEEQ\npiIRoAjnjbvtCMFhLwpRopkv4PeqwUp6+lrKytSuyqGRCM0H1KVdeqOWWdXqDf9I3QDe19oA0DnM\npHyiDElz4X95Nzc3s2HDBjwetaO9VqtlxYoVXHrppWi14omnIAhjp9EYqa7+Pbt2fRyfv57OzkdI\nSlyA07lusocmCIIwJYkARThvumr2oiATdb5MKFwPQGrKFVSU34skaVEUhaZ93cQiMgBFc7PQG3VE\negO4n1CPlwxaUj85B435wn5rBoNBXnnlFXbv3h3flpuby7p163A4Jm+ZmSAIM4NOl8DceX9mx451\nhMP9HD78MxyO1eh0k5djJwiCMFWJAEU4L4b7ehlydRF1vErMrAYbiYmLqKr6HRqNWoGrt82Dx+UD\nIC0nkZTMhBOS4lM+Xoo+48L+wq6vr+eFF15geFhddqbX61m9ejWLFy9GoxGF7gRBOD9MRifFRV+j\n7uDXCIVdtLbeT1HRVyd7WIIgCFOOCFCE86KzZg/RlE3EEtQKXjZbOXOrH4hXqwkFIhypUZsu6o06\nCqucalL8E/VE+44mxa/MxVxx4WYrPB4Pr732GjU1NfFts2bN4vrrryc5OfmCjUMQhIuH0/kROjof\nxevdR1v7n8jKuhmzOW+yhyUIgjCliABFGLeQ34fL/Qix5D0AWCyFzJ/3F/R6NfldkRUad3cSi6pL\nu4rnZ6IzaBl6tZXgQbUvgKksBfvqC5MU7/f72bJlCzt27CAWU2dujEYj1157LfPnzxeJq4IgTBhJ\n0lBa8m127vooshymsfHHVFf/frKHJQiCMKWIAEUYt4N7f0E0eSsABr2T+fPWYzAcnwlpb+jDOxAA\nICM/ieSMBEZq+xl+/WhSfJqZlE/MnvCk+FAoxHvvvcfWrVsJhULx7XPmzGHNmjXY7fYJfX1BEASA\nxMR5OJ0foafnWfr6X8XtfoeUlGWTPSxBEIQpQwQowrh0dDzBQOgRACTFxsKFj2AyZcX3D/X76ahX\n+4iYE4wUVDqJuPy4n2hQzzFqSf1kORrTxH0rRqNRdu/ezebNm/H7/fHtBQUFrF69mpycnAl7bUEQ\nhJMpLvoafX2vEIv5aWj8AUsWv4BGI34lC4IggAhQhHHo7X2Z+ob/Uv8RM1KS9wsslsL4/kgoSuOu\nTgA0GonSRdlIEZmBhw+ihI8lxc9Gn26ZkPHJskxNTQ1vvvkmg4OD8e1Op5NVq1ZRXFwslnMJgjAp\njMZ0Cgq+QFPTz/H7G+nsfJTc3Dsne1iCIAhTgghQhHPidr9DTe2/AzLIOmzDt5FTsjq+X1EUDu/p\nIhyMAlBQ5cRiMzLwUC3RfjUp3r46D3N56nkfm6IoHD58mNdeew2XyxXfnpyczMqVK6moqBDVuQRB\nmHR5uZ+iq+txRkbaaG75bzIyrsdgSJnsYQmCIEw6EaAIYybLYWrrvoKiREDRoO+9gdy51yG976a/\nu9nN4NGSwimZCWTkJ+F9pZVgvTqTYSpPJWHl+a9c097ezmuvvUZra2t8m9Vq5corr2TBggXodOJb\nXhCEqUGjMVJS/J/sP/BZolEvzS2/pmz2DyZ7WIIgCJNO3K0JY9bb9zLhcB8AuoEVGGKlpJfMie/3\neUZoresFwGjWUzwvi2Cdm+E329Vz0syk3Fx6XpPiQ6EQL730Env27IlvMxgMLFu2jEsuuQSj0Xje\nXksQBOF8cThWkZJyOW73Fjo7Hyc761YSEuac+URBEIQZTAQowph1dj6m/iVmQuurIKOyHJ1BbcYY\ni8Ro2NmJIisgQemibAhEcD/9vqT4O85vUnxHRwfPPPMMbrdaslir1bJkyRKWL1+O1Sq6NAuCMHVJ\nkkRpyX+xbftaFCVGQ+MPWDD/UZEfJwjCRU0EKMKY+HwNeDzbAdAOVyChJ6u8Or6/+UAPQX8YgLyy\ndGyJZvr+uB9lRM1FSf5YKfq085MUL8syb7/9Nps2bUKW1R4rhYWFrFu3jqSkpPPyGoIgCBPNai0m\nJ/uTtHc8iMezjd6+f5CRvnayhyUIgjBpRIAijEln12Pxv2uHq3EUFGG0JQDQ2+6hr30IgMQ0K9kl\nqXhfbSXc6gXAutSJper8dIr3eDw888wztLWpvVQ0Gg2rVq3i0ksvFQnwgiBMO4WF/06PawORiJvD\njT/BkboCrdY82cMSBEGYFOJOTjhr0aif7u5nAdAE8tFEk8mqmgfAiC9E875uAHQGLSULsgg1Dx3P\nO8mwkHTdrPMyjpqaGu6///54cJKamsrdd9/NsmXLRHAiCMK0pNfbKZr1ZQCCoS5a2/53kkckCIIw\necQMinDWXK4NxGJqZS7t8FzsziwS0jKQYzINOzuRYwoAJQuy0UYV+h+vBwUk/f9n787D4yrPg/9/\nz+z7jDTaV2v1buMNMIvBgCGEBJPQJiGhtE0gJE1CCG2ztYG0TZrSvCQv/EoIDTSE5M2+EZpAEhab\nPQTvC5asXdYy0mg0M9LsM+f8/hhrrLFkW15ly/fnunRZOnOW58iyfO55nvu+dXg/uADFqD+p68fj\ncZ555hl27NiR27Zq1Squu+46TAdzYIQQ4lxVUfE+DvT9kPHxvXR3f5uK8pvzGt8KIcT5Qt5uFjOi\naRoHJpLj0w500Xoql64AoHvvEJFQHICKRi+eEjujP2tFHcvmonje3YCx9OSS1Xt7e3n00UdzwYnV\nauUDH/gA7373uyU4EULMCYqip7n5XgBUNc7+tv+Y5REJIcTskBkUMSPh8HbGx/cCYBhbhs3jpaC6\nlsDgGAMd2epZDo+FmoUljL/Sn+t3Yl1WhG1N6QlfN5PJ8PLLL7N582Y0LTtDU19fz0033YTL5TrJ\nuxJCiLNLgWcNJSU3MDT0W4aGfsvo6K0UFFw428MSQogzSmZQxIwc6Pt/2U80HfqxJVQuvYBkPE3b\ntn4A9AYdzaurSPePE3q2M7utwEzBe5tOuFzm6OgoTzzxBJs2bULTNPR6Pddddx233nqrBCdCiDmr\nqfHz6HQWAFr3/xualpnlEQkhxJklAYo4plRqlKGh3wKgizZgMpVQVN/M/i19pJPZ/zgblpdj0usY\n+dE+yGigUyi8ZcEJ9zvZsWMHjzzyCL292ST7oqIibr/9dqnSJYSY8yyWCmprPwbA+Phe+vt/Ossj\nEkKIM0uWeIlj6h/4OaqazSfRh5dTsWQZ/e2jhEeiAJTUePBWuhj9SQuZkWwuivu6Wsw1xz/LEY/H\n+e1vf8uuXbty29asWcOGDRsk10QIcd6orbmdgf6fEk/0097xDUpK3onR6J7tYQkhxBkhb0WLo9I0\nNdc5XkkWYkjXUVS/kL79fgCsDhN1S8uIbh0iun0YAHOTB8flVcd9re7ubh555JFccGKz2bjlllu4\n4YYbJDgRQpxX9HorjU1fACCVChxc6qXO8qiEEOLMkBkUcVSBwKvEYtl+I/qxZZTNX0zAF8uVFK5b\nWoY6Gif46zYAdA4jhe+bj6Kbed5JJpNh8+bNvPzyy7lE+MbGRjZu3IjT6TzFdySEEOeGkuLr8Xgu\nIhj8E4OD2R5UCxf8Bzqd/NcthJjb5LecOKq+ieR41YA+spjyRcvY+6chIDt74vJYGX5kB1oq+85e\n4fvno3fOfLYjEAjwi1/8gr6+PgD0ej0bNmzgoosuOuHkeiGEmAsURWHJ4m+yddttRKNtDA7+ikwm\nxpLF30Snk1llIcTcJQGKOKJ4fIBh//MA6CPzKa5dQjymIxFNAVBWV0j42S5SAxEAnFdWYWkqmNG5\nNU1j+/btPPPMMyST2fyWkpISbr75ZkpLT7wssRBCzCVmcymrVv6Q7dv/lrHxPQwPP8vOnVGWLv0W\ner11tocnhBCnheSgiCPq6/8xkJ0Z0YcvoHLpBQx0ZPub6PQ6nOMZxl/Llhk21Thxbaid0XljsRg/\n//nPeeqpp3LByUUXXcQdd9whwYkQQhzGZPKyYsUPcLtXAjASeIntOz5MOj02yyMTQojTQwIUMS1V\nTdHf9xMAlEQpBd6V6C0egkPjAJQU2ggfzDtRLHoKP7AARX/sH6fOzk4eeeQR9uzZA4DdbudDH/oQ\n119/PUaj8TTdjRBCnNuMRhcrLvgeBQWXABAMvsm2bbeRSgVneWRCCHHqSYAipjXsf45kKluVSx9e\nTuXSFQx2ZTvGo2nYtgVQo2kACt7bhKHQctTzZTIZnnvuOb73ve8RDocBaG5u5uMf/zhNTU2n70aE\nEGKO0OttLF/2GEVFVwMQHtvJ1q0fJJH0z/LIhBDi1JIARUzrwIEfZD/JmHEaL8ZZVsVQd/adupJA\nmnRvdmmB/cIybMuKj3qucDjME088wSuvvAKAwWDghhtu4JZbbsHhcJy+mxBCiDlGrzezdMnDlJa8\nC4DxSAtbtryfeLx/lkcmhBCnjiTJiykikXaCwTcA0I8vpnLJhYz0hcmkVcyhFJb92RkQQ6kN97vq\nj3quzs5Ofv7znxOJZBPpS0tLufnmmykpKTm9NyGEEHOUTmdk8eJvoNfb6B/4KbFYF1u2vJ8VK76P\nzTZvtocnhBAnTWZQxBQHDjZmBLCkLqaovomBzgC6lEpR2zhogEGH95YF6Ez6ac+hqiovv/wyTz75\nZC44WblyJbfffrsEJ0IIcZIURc+CBf9OdfXfAhBP9LNl6wcYH2+Z5ZEJIcTJkxkUkSeTiTHQ/3MA\ndLEaquavJxJKEA3FKW4fR5/MVvXyvLseY5l92nPEYjF+9atf0draChxa0rVixYozcxNCCHEeUBSF\npsZ/Qq+309X1XySTw2zZ+kFWXPBdXK5lsz08IYQ4YTOeQfna177GhRdeiNvtpqSkhBtvvDFXiWmy\nL3/5y1RWVmKz2Vi/fj179+7Ne/2ee+7B6/VSW1vLD3/4w7zXnn76adatW3eCtyJOBZ/vf8mo2Upd\nhuhKyhYsZqBjFOdgHOtotv+JdWkR9gvLpj1+YGCA//7v/84FJwUFBXzkIx+R4EQIIU4DRVFoqP8M\njQ2fAyCdDrJ1218RDL41yyMTQogTN+MA5aWXXuKTn/wkr7/+Oi+++CIGg4FrrrmGYPBQicP777+f\nb37zmzz88MO89dZblJSUsGHDhtwSn6effpof//jHPPfcc9x///3cfvvtBALZylDj4+Pcc889fOc7\n3znFtyiOR0/397KfpO1UVr+bjKpjbH8AT3cUAL3HTMF7m6bt8r5161Yef/xxRkezvVLmz5/PRz/6\nUcrLy8/Y+IUQ4nxUW/tR5jf/KwCZzDjbtv8N4fCuWR6VEEKcGEXTNO1EDoxEIrjdbp566iluuOEG\nACoqKrjrrrv4/Oc/D0A8HqekpIQHHniAO+64g69//ets27YtN3NSVlbGb3/7W1atWsVdd91FcXEx\nX/rSl07RrYnjFQ7v5M9vvQcAfXAta699BF9nhMwv2jHGVVCg+GPLMde68o5LpVL87ne/Y9u2bUD2\nHb2rr76aSy65BJ1O0pyEEOJMGRj4FXvf/iygYjaVsnrNL7GYp5/xFkKIs9UJPz2Gw2FUVaWgoADI\nVmsaHBxkw4YNuX0sFgvr1q3jtddeA2D58uW89dZbBINBtmzZQjwep7GxkTfeeINNmzbxhS984SRv\nR5yM7q4nsp9oCiUFN2K0OYg/15sNTgDXdfOmBCeBQIDHH388F5zY7XZuu+02LrvsMglOhBDiDCsv\nfw9NTV8EIJH0sXPnR8lkorM8KiGEOD4n/AT56U9/mpUrV7J27VoABgcHURSF0tLSvP1KS0sZHBwE\n4Nprr+XWW29lzZo1fPjDH+bJJ5/Ebrdz55138u1vf5vHH3+cRYsWsWbNGl5//fWTuC1xvFKpEMP+\nZwDQRRuoWbae4Re6sfniAChVDpzrqvKOaWlp4dFHH839/dbU1HDnnXdSV1d3ZgcvhBAip7rqb6is\n/CAAY2N72LP3H9A0dZZHJYQQM3dCVbzuueceXnvtNV599dVpcxGO5t577+Xee+/Nff3Vr36VSy+9\nFJfLxX333cfOnTvZsWMH73vf++js7MRgkEJjZ0LfgZ+gkQTAZbwas2pn9MUWFCBjVKi4dSGKLvt3\nHYlE2Lx5M2+++Wbu+LVr13LNNdeg109fdlgIIcSZoSgKzU33Eot2Exh9leHh39Pe8Q0aG/5htocm\nZkkikWDbtm0sXboUu336CpxnUjgcZu/evaxevVqe88S0jvun4jOf+Qw//elP2bRpE7W1tbntZWVl\naJqGz+ejqurQO+0+n4+ysunXv7a2tvLd736Xbdu28cQTT3DFFVfkEusTiQQtLS0sXrw475iRkRH8\nfv+UcxUVFeH1eqdsl/2Pvf/w8DBb3nyUlJZESbmw162i9dHXcWdM2Z3WVWD0WEgkEjz77LNs2rSJ\nVCpb0ctoNHL11VezevXqaYOTs/F+ZX/ZX/aX/c+H/Y3GTzM83IbJ1E939yPYbXWUl998zox/ruw/\nf/78Kdsma29vZ3h4eMp2h8PBkiVLjnrsTJlMJlatWnXWBANOp/OsGo84+xxXkvynP/1pfvazn7Fp\n0yaam5unvD5dknxpaSkPPPAAt99++5T9169fz913383GjRt58MEH2bx5M7/85S/RNI3CwkI2b97M\nsmVSy/10Cgbfoq3tfkLhrQBYY9ezMPMZIq/1AxCusFD7t0vYvXcnmzdvJho9tJZ53rx5vOtd76Ko\nqGhWxi6EEOLootEu/vzWzaTTQRTFyIoV36fAs2a2hyUmaW9vJ5lM0tjYmLddUZQ5+QCvadpxr74R\n558Z/+R/4hOf4Ac/+AFPPfUUbrcbn88HZCP8ienCu+++m6997WvMnz+fpqYmvvKVr+B0Ornlllum\nnO+xxx6jsLCQjRs3AnDZZZdx33338eqrr7J9+3ZMJtMx33UQJ258vIW29q8zMvJibpuSclFr+SCR\nP2aDk7hNR0/lGH94/NG8ctJlZWVcc801NDQ0yC8ZIYQ4i9ls81i29Fts2/7XaFqKXbs+zupVv8Bm\nqz32weKM0el0GI3GaV974403qKurIxQKEQwGMRqNVFdX5705ODY2RldXF9FoFJvNRnV1Nfv27ceH\n7+YAACAASURBVGPRokW4XK4pS7wmllgtXLiQ3t5eotEoVquV+vr6vCVgY2Nj9PT0EIlEMBgMFBQU\nUFNTk7dior+/H5/PRyqVwmKxUFFRkRvbxHUbGxsZGhpifHycmpoabDZb3hKv4eFhOjs7mT9/Pl1d\nXSQSCRwOBw0NDZjN5ty1+vr6GBwcRFVVCgsLMZvNDA8PS6+1OWjGAcojjzySKx872X333ZfLKfns\nZz9LPB7nk5/8JKOjo1x00UX84Q9/mLLecWhoiH//93/PVfcCWLVqFV/4whd4z3veg8vl4gc/+EHe\nD6U4NWKxA3R0fpPBwaeAg5NnmgF9aAX2yNUonQoqGj2GAG8YOxnbFcodW1hYyFVXXcWiRYukQpcQ\nQpwjCgouYsH8r/D2vs+RSo2yY+dHWbP65xgMztkempihvr4+ampqqKmpYWhoiPb2dpxOJ2azmUwm\nQ0tLCx6Ph8bGRpLJJF1dXTM6b29vLzU1NRiNRrq6umhra2P58uUARKNR3n77baqrq2loaCCdTtPV\n1UV7e3tuFU1PTw+BQIC6ujqsVitjY2N0dHSg1+tzVV4nrlNbW4vdbkdRFOLx+JSxaJpGf38/DQ0N\n6HQ62tra6OjoYOHChQD4/X4OHDhAXV0dLpeLkZER+vv75+QskziOAEVVZ1YB5PAk+OmUlJTQ0dEx\nZfvnPvc5Pve5z810SOI4JJN+Oru+RV/fD9G0bP6IougpsF9LZG8VStpJ+dhiBmIj/NnUxqAuCIns\nsQ6HgyuuuIKVK1dKErwQQpyDKir+gmi0ne6e/yYabWPX7k+xfNlj6HTycHc2CAaDeYVnJqqi1tTU\nAFBcXJyblaiurmZwcJCxsTHMZnMu76W+vh6dTofVaqWyspK2trZjXre6uhqXK9s+oKqqij179pBM\nJjGZTPT391NUVJTXbLmuro5du3aRSqXQ6XQMDg6ycOFCnM5ssGs2mxkfH8fn8+UFKGVlZRQWFua+\nPlKAUldXh8ViAbJpA+3t7bnXBwcHKSkpoaSkBIDKykrC4fC05xLnPvnNNMel0+P09DxOT+/jZDKR\n3PaS4uupq/8Mrc/+CSUzii5YyB9DW+k2H0rwMxlNXHb5ZVx88cWYTKbZGL4QQohTpKHhH4lGOxn2\n/5FA4GX27/8K8+d/ebaHJcgmjdfX1+dtmzwzYLVac59P5KZMFKuJxWJYrda8lQ0Oh2NG15183okl\nZqlUCpPJRCQSIR6PT5v4H4/HURQFVVV5++23817TNC0XZEyYSeUwnU6Xd5zRaETTNNLpNAaDgVgs\nlgtOJjgcDglQ5igJUOYoVU3Q1/cjOrseJpUK5LYXFKylseGzuFzLGOlqJ+D30z2S4kCiBe3g5IhO\n0VFb0sR7P/gunG5ZAiCEmPs0TSMcDhONRrFYLNhsNkwm05zKs1MUHYsXf4MtWz7A2PgeDvR9H5u9\nnuqq22Z7aOc9vV4/5aF+ssOXVZ+qn8vJ553unCUlJXkzKBNMJlOuaM6CBQumvIl5+Llmsvri8GPm\n0r89cfwkQJmDQqGt7N7zGeLxA7ltTudiGho+i7fwMiDby+R3v/0tncOjqGiggKJBpbuWuuol1M2v\nkuBECDGnaZpGNBpleHiYkZGR3DvSE/R6PTabLe/DarWe1Jr3icKZs/XwpdfbWLbsUf781ntJJodo\nbf03bNZavN4rZmU84uRZrVb8fj+qquYCjvHx8ZM+r91uJxaLHTFwslqtKIpCIpHILRM7naxWK5FI\nJG/bqbhPcXaSAGWOSaVG2bnr70gmszXVrdZaGur/npKS61EUHclkktdff51XX3mF5KT/jGvVYlas\nuJioLjvdW1ZXOO35hRDiXDexbMXv9x91eUgmk2FsbIyxsbG87WazOS9gURSFTCZDJpMhnU4f83O9\nXk9hYSFerxeXy3XGgxWLpZzlyx5ly9ZbUNU4u3bfxepVP8PhmNo+QJwZqqqSTCbztimKcsTKXpMV\nFRXR29tLR0cHlZWVJJNJ+vv7T3pMFRUV7N69m46ODkpLS9Hr9cRiMUZHR6mvr0ev11NRUUF3dzea\npuFyuchkMoyPj6MoypTlWCerrKyMjo4O7HY7LpeLQCDA+Pi4JMnPUfK3Ose0tP5rLjipr7+H2pqP\notMZyWQybNnyJps3b857B6JM9XCh2sT8D17M7s5hSKu4i+zYnFJBTQhx9ohEIoyOjqLX6zGbzZjN\nZkwmEwaDYUYP+KlUKtdIb7p3XZ1OJ0VFRXg8HhKJBNFoNO9jcqGYRCJBIpFgdHT0hO4lnU4zNDTE\n0NAQJpMJr9dLUVHRGe3w7XItY9Gi/8Pu3Z8kkxlnx847WLXyx1gsU5fziNMvFAqxdevWvG0mk4mV\nK1ce81i9Xs+CBQvo7Oxk586d2Gw2qqqqaG1tPamKmzabjcWLF9Pb28vevXtzuSWTk9+rq6sxGo0M\nDAzQ2dmJwWDAZrNRUVFxwtc9kqKiIhKJBL29vaiqSkFBAaWlpSf871Cc3Y6rUaM4uw0N/Z5du/8O\ngKKiq1m29FE0TWPPnj288MILef+IC1UHa9INVOKl+LYlhCwKHTsGAJh/YRXe8tM/XSuEEMcSDofp\n7+/P68U0mU6nw2Qy5QUtkz8fHx/H7/cTCoU4/L87m82W6wp+tLL2mqZNG7QcafZFr9fnPgwGw5Sv\nY7EYwWBwynisVitFRUUUFRWdsTL7nV0P09HxjYPjtlM375NUV/8NOp0URjkVZqspYSAQoLW1Nddn\nZK5qaWkBkL55c5AEKHNEMjnCG396B6lUAIPBzUUXPsOBA2M899xzDA4O5vZz212sCFbRkCkDwHNL\nI45l5ex4sYPoWAKT1ciqaxpRdJKcJoSYHZqmEQwG6e/vn7K86mSZTKZcEGCz2U7qXJlMJhekTA5E\njmdGZ2RkZNp7nJjR8Xq9p/UBU9M0Wlrvo6/v/+W22Wz1NDfdi9d7+Wm77lymaRqRSAS/38/IyAir\nVq067dccHh7OBebRaJSuri5sNtucenBXVRWfz4fb7UZRFAKBAL29vTQ3N+eVMBZzgwQoc4Cmaeze\n/SmGhp8BoKb6X3n11VReoya73c4lC9ZQ9YYOfUZBQyV9kY6691xOyB9hz6vd2WMXllDVXDTdZYQQ\n4rTSNI1AIEBfX1+uQhCQW89eXl6OXq8nkUiQTCZzS60mf51Op6ecV6/X55ZROZ3Os646UDwezy0/\ni8Viea8pioLH48HlcuXyXmaSl3C8AoFXaWn9F6LRQ30niouvo6nxn7BaK0/59WZbOj3G0PDviUba\ncTgW4PGswWI5uWVJR8ptuvjii092uMc00c19ooeJx+OZ0vH9XKeqKi0tLUQiEVRVndK1XswtEqDM\nAYO+p9mz524AXK4r2fTifCKR7H/uJpOJSy+9lBVFCwj/aD+kNTQ0/BU9LPrITZjtDlq3HMB/IIyi\nU1h9bRNG89ydDhZCnH1UVcXv99Pf35/3YKfT6SgtLaW8vHzGvZgymUwuWEkmkxiNRtxu90mtxT9T\nJqqKTTzkHl5VbILRaMwl6E+uMHay96iqSXoPPEln50O5vlk6nZna2o9TW3MHev2Ry+CeLFVNE4t1\nMT6+L/sRaSUeO4DDuYiioqvwFl7OyXa+V9UkIyObGRx8Cv/I86hqflK6xVyBx7MGt2c1Hvdq7PZG\nFOXo39NkMpkLLg+vMAXgcBhYsmT1SY1bnBrPv9DI0iUPU1Jy3WwPRcyABCjnuERimDf+9A7S6SB6\nvYdtWzcSCmWTOdesWcOVV16Jvj+J/3t7Ia2ioTFc3o1rZRWNl68nlUjz1h/2o6kaRZUumldXzfId\nCSHOF5lMhqGhIQYGBvIqGBkMBsrKyigrK5vT6+ePZqIvi9/vZ3R0dNqZocNN9G+x2Wy43e5cd+/j\nlUgM0dZ2P4O+X086dzXNTf9MUdHVJzUDpWkayaSf8UhLLhiJjLcSie6fEjBMpigGPJ41FHmvoqho\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hF3pID2drxbs31GAsttG95U+oB3sMVF9w6B/CYPfk5HgPQggxIZVKEQwGczMix5NQ7PF4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\nhzVr1ijdvn799VflB305jUaDfv36oWfPnnjjjTfg5uZW6br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+ "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "%matplotlib inline\n", + "import matplotlib.pyplot as plt\n", + "import pandas as pd\n", + "\n", + "# This is my custom style that does most of the plot formatting\n", + "plt.style.use('https://gist.githubusercontent.com/rhiever/a4fb39bfab4b33af0018/raw/b25b4ba478c2e163dd54fd5600e80ca7453459da/tableau20.mplstyle')\n", + "\n", + "degree_gender_data = pd.read_csv('gender_degree_data.tsv', sep='\\t')\n", + "degree_gender_data = degree_gender_data[degree_gender_data['Year'] >= 1970]\n", + "degree_gender_data.set_index('Year', inplace=True)\n", + "\n", + "# Create a list of the degree majors ranked by their last value in the time series\n", + "# We'll use this list to determine what colors the degree majors are assigned\n", + "degree_major_order = degree_gender_data.groupby('Degree_Major')['Female_percent_Bachelors'].last()\n", + "degree_major_order = degree_major_order.sort_values(ascending=False).index.values\n", + "degree_major_order_dict = dict(zip(degree_major_order, range(len(degree_major_order))))\n", + "\n", + "degree_gender_data['Degree_Major_Order'] = degree_gender_data[\n", + " 'Degree_Major'].apply(lambda major: degree_major_order_dict[major])\n", + "\n", + "degree_gender_data.groupby('Degree_Major_Order')['Female_percent_Bachelors'].plot(figsize=(10, 12))\n", + "\n", + "plt.xlabel('')\n", + "plt.yticks(range(0, 91, 10), ['{}%'.format(x) for x in range(0, 91, 10)])\n", + "\n", + "plt.xlim(1969, 2014)\n", + "plt.ylim(-1, 90)\n", + "\n", + "plt.title('Percentage of Bachelor\\'s degrees conferred to women'\n", + " 'in the U.S.A., by major (1970-2014)\\n', fontsize=14)\n", + "plt.grid(False, axis='x')\n", + "\n", + "degree_major_pcts = dict(degree_gender_data.groupby(\n", + " 'Degree_Major')['Female_percent_Bachelors'].last().iteritems())\n", + "\n", + "degree_major_color_map = [x['color'] for x in plt.rcParams['axes.prop_cycle']]\n", + "\n", + "# We use this dictionary to rename the degree majors to shorter names\n", + "degree_major_name_map = {\n", + " 'the social sciences and history': 'Social Sciences and History',\n", + " 'the health professions and related programs': 'Health Professions',\n", + " 'visual and performing arts': 'Art and Performance',\n", + " 'foreign languages and literatures': 'Foreign Languages',\n", + " 'engineering and engineering technologies': 'Engineering',\n", + " 'the biological and biomedical sciences': 'Biology',\n", + " 'mathematics and statistics': 'Math and Statistics',\n", + " 'agriculture and natural resources': 'Agriculture',\n", + " 'the physical sciences and science technologies': 'Physical Sciences',\n", + " 'communication, journalism, and related '\n", + " 'programs and in communications technologies': 'Communications\\nand Journalism',\n", + " 'public administration and social services': 'Public Administration',\n", + " 'psychology': 'Psychology',\n", + " 'English language and literature/letters': 'English',\n", + " 'computer and information sciences': 'Computer Science',\n", + " 'education': 'Education',\n", + " 'business': 'Business',\n", + " 'architecture and related services': 'Architecture',\n", + "}\n", + "\n", + "# We use these offsets to prevent the degree major labels from overlapping\n", + "degree_major_offset_map = {\n", + " 'foreign languages and literatures': 1.0,\n", + " 'English language and literature/letters': -0.5,\n", + " 'agriculture and natural resources': 0.5,\n", + " 'business': -0.5,\n", + " 'architecture and related services': 0.75,\n", + " 'mathematics and statistics': -0.75,\n", + " 'engineering and engineering technologies': 0.75,\n", + " 'computer and information sciences': -0.75,\n", + "}\n", + "\n", + "# Draw the degree major labels at the end of the time series lines\n", + "for degree_major in degree_major_pcts:\n", + " plt.text(2014.5, degree_major_pcts[degree_major] - 0.5 + degree_major_offset_map.get(degree_major, 0),\n", + " degree_major_name_map[degree_major],\n", + " color=degree_major_color_map[degree_major_order_dict[degree_major]])\n", + "\n", + "plt.text(1967, -9,\n", + " '\\nData source: nces.ed.gov/programs/digest/current_tables.asp (Tables 325.*)\\n'\n", + " 'Author: Randy Olson (randalolson.com / @randal_olson)',\n", + " ha='left', fontsize=10)\n", + "\n", + "plt.savefig('pct-bachelors-degrees-women-usa-1970-2014.png')\n", + ";" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.5.1" + } + }, + "nbformat": 4, + "nbformat_minor": 0 +} diff --git a/pct-bachelors-degrees-conferred-women-usa/gender_degree_data.tsv b/pct-bachelors-degrees-conferred-women-usa/gender_degree_data.tsv new file mode 100644 index 0000000..7ed29a8 --- /dev/null +++ b/pct-bachelors-degrees-conferred-women-usa/gender_degree_data.tsv @@ -0,0 +1,796 @@ +Year Degree_Major Total_Bachelors Percent_change_Bachelors Male_Bachelors Female_Bachelors Female_percent_Bachelors Total_Masters Male_Masters Female_Masters Total_Doctorates Male_Doctorates Female_Doctorates +1971 agriculture and natural resources 12672 0 12136 536 4.2 2457 2313 144 1086 1055 31 +1972 agriculture and natural resources 13516 6.7 12779 737 5.5 2680 2490 190 971 945 26 +1973 agriculture and natural resources 14756 9.2 13661 1095 7.4 2807 2588 219 1059 1031 28 +1974 agriculture and natural resources 16253 10.1 14684 1569 9.7 2928 2640 288 930 897 33 +1975 agriculture and natural resources 17528 7.8 15061 2467 14.1 3067 2703 364 991 958 33 +1976 agriculture and natural resources 19402 10.7 15845 3557 18.3 3340 2862 478 928 867 61 +1977 agriculture and natural resources 21467 10.6 16690 4777 22.3 3724 3177 547 893 831 62 +1978 agriculture and natural resources 22650 5.5 17069 5581 24.6 4023 3268 755 971 909 62 +1979 agriculture and natural resources 23134 2.1 16854 6280 27.1 3994 3187 807 950 877 73 +1980 agriculture and natural resources 22802 -1.4 16045 6757 29.6 3976 3082 894 991 879 112 +1981 agriculture and natural resources 21886 -4.0 15154 6732 30.8 4003 3061 942 1067 940 127 +1982 agriculture and natural resources 21029 -3.9 14443 6586 31.3 4163 3114 1049 1079 925 154 +1983 agriculture and natural resources 20909 -0.6 14085 6824 32.6 4254 3129 1125 1149 1004 145 +1984 agriculture and natural resources 19317 -7.6 13206 6111 31.6 4178 2989 1189 1172 1001 171 +1985 agriculture and natural resources 18107 -6.3 12477 5630 31.1 3928 2846 1082 1213 1036 177 +1986 agriculture and natural resources 16823 -7.1 11544 5279 31.4 3801 2701 1100 1158 966 192 +1987 agriculture and natural resources 14991 -10.9 10314 4677 31.2 3522 2460 1062 1049 871 178 +1988 agriculture and natural resources 14222 -5.1 9744 4478 31.5 3479 2427 1052 1142 926 216 +1989 agriculture and natural resources 13492 -5.1 9298 4194 31.1 3245 2231 1014 1183 950 233 +1990 agriculture and natural resources 12900 -4.4 8822 4078 31.6 3382 2239 1143 1295 1038 257 +1991 agriculture and natural resources 13124 1.7 8832 4292 32.7 3295 2160 1135 1185 953 232 +1992 agriculture and natural resources 15113 15.2 9867 5246 34.7 3730 2409 1321 1205 955 250 +1993 agriculture and natural resources 16769 11.0 11079 5690 33.9 3959 2474 1485 1159 869 290 +1994 agriculture and natural resources 18056 7.7 11746 6310 34.9 4110 2512 1598 1262 969 293 +1995 agriculture and natural resources 19832 9.8 12686 7146 36.0 4234 2541 1693 1256 955 301 +1996 agriculture and natural resources 21425 8.0 13531 7894 36.8 4551 2642 1909 1259 926 333 +1997 agriculture and natural resources 22597 5.5 13791 8806 39.0 4505 2601 1904 1202 875 327 +1998 agriculture and natural resources 23276 3.0 13806 9470 40.7 4464 2545 1919 1290 924 366 +1999 agriculture and natural resources 24179 3.9 14045 10134 41.9 4376 2360 2016 1249 869 380 +2000 agriculture and natural resources 24238 0.2 13843 10395 42.9 4360 2356 2004 1168 803 365 +2001 agriculture and natural resources 23370 -3.6 12840 10530 45.1 4272 2251 2021 1127 741 386 +2002 agriculture and natural resources 23331 -0.2 12630 10701 45.9 4503 2340 2163 1148 760 388 +2003 agriculture and natural resources 23348 0.1 12343 11005 47.1 4492 2232 2260 1229 790 439 +2004 agriculture and natural resources 22835 -2.2 11889 10946 47.9 4783 2306 2477 1185 758 427 +2005 agriculture and natural resources 23002 0.7 11987 11015 47.9 4746 2288 2458 1173 763 410 +2006 agriculture and natural resources 23053 0.2 12063 10990 47.7 4640 2280 2360 1194 710 484 +2007 agriculture and natural resources 23133 0.3 12309 10824 46.8 4623 2174 2449 1272 768 504 +2008 agriculture and natural resources 24113 4.2 12634 11479 47.6 4684 2180 2504 1257 742 515 +2009 agriculture and natural resources 24982 3.6 13096 11886 47.6 4878 2328 2550 1328 741 587 +2010 agriculture and natural resources 26343 5.4 13524 12819 48.7 5215 2512 2703 1149 626 523 +2011 agriculture and natural resources 28630 8.7 14678 13952 48.7 5766 2746 3020 1246 675 571 +2012 agriculture and natural resources 30972 8.2 15485 15487 50.0 6390 3026 3364 1333 721 612 +2013 agriculture and natural resources 33592 8.5 16618 16974 50.5 6336 2912 3424 1411 767 644 +2014 agriculture and natural resources 35116 4.5 17249 17867 50.9 6544 2966 3578 1407 739 668 +1950 architecture and related services 2563 0 2441 122 4.8 166 159 7 1 1 0 +1960 architecture and related services 1801 0 1744 57 3.2 319 305 14 17 17 0 +1968 architecture and related services 3057 0 2931 126 4.1 1021 953 68 15 15 0 +1970 architecture and related services 4105 0 3888 217 5.3 1427 1260 167 35 33 2 +1971 architecture and related services 5570 35.7 4906 664 11.9 1705 1469 236 36 33 3 +1972 architecture and related services 6440 15.6 5667 773 12.0 1899 1626 273 50 43 7 +1973 architecture and related services 6962 8.1 6042 920 13.2 2307 1943 364 58 54 4 +1974 architecture and related services 7822 12.4 6665 1157 14.8 2702 2208 494 69 65 4 +1975 architecture and related services 8226 5.2 6791 1435 17.4 2938 2343 595 69 58 11 +1976 architecture and related services 9146 11.2 7396 1750 19.1 3215 2545 670 82 69 13 +1977 architecture and related services 9222 0.8 7249 1973 21.4 3213 2489 724 73 62 11 +1978 architecture and related services 9250 0.3 7054 2196 23.7 3115 2304 811 73 57 16 +1979 architecture and related services 9273 0.2 6876 2397 25.8 3113 2226 887 96 74 22 +1980 architecture and related services 9132 -1.5 6596 2536 27.8 3139 2245 894 79 66 13 +1981 architecture and related services 9455 3.5 6800 2655 28.1 3153 2234 919 93 73 20 +1982 architecture and related services 9728 2.9 6825 2903 29.8 3327 2242 1085 80 58 22 +1983 architecture and related services 9823 1.0 6403 3420 34.8 3357 2224 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a/python-baseball-simulator/Simulating baseball in Python.ipynb b/python-baseball-simulator/Simulating baseball in Python.ipynb new file mode 100644 index 0000000..6a6542d --- /dev/null +++ b/python-baseball-simulator/Simulating baseball in Python.ipynb @@ -0,0 +1,1291 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Simulating baseball in Python\n", + "\n", + "This notebook provides the methodology and code used in the blog post, [How much does batting order matter in Major League Baseball? A simulation approach](http://www.randalolson.com/2018/07/04/does-batting-order-matter-in-major-league-baseball-a-simulation-approach).\n", + "\n", + "### Notebook by [Randal S. Olson](http://www.randalolson.com)\n", + "\n", + "Please see the [repository README file](https://github.com/rhiever/Data-Analysis-and-Machine-Learning-Projects#license) for the licenses and usage terms for the instructional material and code in this notebook. In general, I have licensed this material so that it is as widely useable and shareable as possible.\n", + "\n", + "### Required Python libraries\n", + "\n", + "If you don't have Python on your computer, you can use the [Anaconda Python distribution](https://www.anaconda.com/download/) to install most of the Python packages you need. Anaconda provides a simple double-click installer for your convenience.\n", + "\n", + "This code uses base Python libraries except for `seaborn`, `tqdm`, and `joblib` packages. You can install these packages using `pip` by typing the following commands into your command line:\n", + "\n", + "> pip install seaborn tqdm joblib\n", + "\n", + "### Using the baseball simulator\n", + "\n", + "Below is the Python code used to simulate baseball in my blog post, run the simulations, and generate the data visualizations shown in my blog post. When I get more time, I plan to clean up and comment this code better than it currently is.\n", + "\n", + "For the data visualizations, you will need to place [this tableau10.mplstyle](https://gist.github.com/rhiever/d0a7332fe0beebfdc3d5) in your `~/.matplotlib/stylelib/` directory for the visualizations to show up as they do in my blog post. Otherwise, you will have to use [other matplotlib styles](https://matplotlib.org/users/style_sheets.html).\n", + "\n", + "If you have any comments or questions about this project, I prefer that you [file an issue](https://github.com/rhiever/Data-Analysis-and-Machine-Learning-Projects/issues/new) on this GitHub repository. If you don't feel comfortable with GitHub, feel free to [contact me by email](http://www.randalolson.com/contact/)." + ] + }, + { + "cell_type": "code", + "execution_count": 160, + "metadata": {}, + "outputs": [], + "source": [ + "%matplotlib inline\n", + "import matplotlib.pyplot as plt\n", + "import seaborn as sb\n", + "import numpy as np\n", + "from tqdm import tqdm_notebook as tqdm\n", + "from joblib import Parallel, delayed\n", + "import time\n", + "\n", + "# ParallelExecutor code taken and modified from https://gist.github.com/MInner/12f9cf961059aed1a60e72c5531a697f\n", + "def text_progessbar(seq, total=None):\n", + " step = 1\n", + " tick = time.time()\n", + " while True:\n", + " time_diff = time.time() - tick\n", + " avg_speed = time_diff / step\n", + " total_str = 'of {}'.format(total if total else '')\n", + " print('step', step, '{}'.format(round(time_diff, 2)), 'avg: {} iter/sec'.format(round(avg_speed)), total_str)\n", + " step += 1\n", + " yield next(seq)\n", + "\n", + "all_bar_funcs = {\n", + " 'tqdm': lambda args: lambda x: tqdm(x, **args),\n", + " 'txt': lambda args: lambda x: text_progessbar(x, **args),\n", + " 'False': lambda args: iter,\n", + " 'None': lambda args: iter,\n", + "}\n", + "\n", + "def ParallelExecutor(use_bar='tqdm', **joblib_args):\n", + " def aprun(bar=use_bar, **tq_args):\n", + " def tmp(op_iter):\n", + " if str(bar) in all_bar_funcs.keys():\n", + " bar_func = all_bar_funcs[str(bar)](tq_args)\n", + " else:\n", + " raise ValueError('Value {} not supported as bar type'.format(bar))\n", + " return Parallel(**joblib_args)(bar_func(op_iter))\n", + " return tmp\n", + " return aprun\n", + "\n", + "def simulate_game(batters, return_stats=False):\n", + " '''Simulates the batting side of a Major League Baseball game\n", + " \n", + " This is a simplified simulation of a baseball game, where each batter performs randomly\n", + " according to their corresponding batting average. This simulation incorporates\n", + " different types of hits, such as singles, doubles, triples, and home runs, and uses\n", + " 2017-2018 Major League averages for the probabilities of those hit types occurring.\n", + " This simulation leaves out other aspects of the game, such as individual-level hit type\n", + " tendencies, double plays, stolen bases, errors, and so forth.\n", + "\n", + " Parameters\n", + " ----------\n", + " batters: list\n", + " A list of batting averages for 9 batters in the desired batting order\n", + " Example input: [0.25, 0.25, 0.25, 0.25, 0.25, 0.25, 0.25, 0.25, 0.25]\n", + "\n", + " Returns\n", + " ----------\n", + " runs_scored: int\n", + " The number of runs scored by the batters in one simulated game\n", + " batting_stats: dict\n", + " Dictionary containing batting statistics for each batter\n", + " '''\n", + " runs_scored = 0\n", + " batter_num = 0\n", + "\n", + " # NOTE: Earned Bases is the total number of bases that the batter advanced themselves\n", + " # AND their teammates through batting\n", + " batting_stats = {}\n", + " for batter in range(len(batters)):\n", + " batting_stats[batter] = {\n", + " 'At Bat': 0, 'Single': 0, 'Double': 0, 'Triple': 0, 'Home Run': 0, 'Out': 0,\n", + " 'RBI': 0, 'Earned Bases': 0, 'Players On Base': 0, 'Bases Loaded': 0, 'Grand Slam': 0\n", + " }\n", + "\n", + " # Assume the game lasts for only 9 innings (no extra innings)\n", + " for inning in range(9):\n", + " bases = [\n", + " False, # First base, index 0\n", + " False, # Second base, index 1\n", + " False # Third base, index 2\n", + " ]\n", + " batters_out = 0\n", + "\n", + " while batters_out < 3:\n", + " batting_stats[batter_num]['At Bat'] += 1\n", + " if bases[2] and bases[1] and bases[0]:\n", + " batting_stats[batter_num]['Bases Loaded'] += 1\n", + "\n", + " if bases[2]:\n", + " batting_stats[batter_num]['Players On Base'] += 1\n", + " if bases[1]:\n", + " batting_stats[batter_num]['Players On Base'] += 1\n", + " if bases[0]:\n", + " batting_stats[batter_num]['Players On Base'] += 1\n", + "\n", + " if np.random.random() < batters[batter_num]:\n", + " # Batting estimates from MLB.com statistics in 2017/2018 seasons:\n", + " # Single base hit: 64% of hits\n", + " # Double base hit: 20% of hits\n", + " # Triple base hit: 2% of hits\n", + " # Home run: 14% of hits\n", + " hit_type = np.random.choice(['Single', 'Double', 'Triple', 'Home Run'], p=[.64, .2, .02, .14])\n", + "\n", + " if hit_type == 'Single':\n", + " batting_stats[batter_num]['Single'] += 1\n", + "\n", + " # All base runners advance 1 base\n", + " if bases[2]:\n", + " runs_scored += 1\n", + " batting_stats[batter_num]['RBI'] += 1\n", + " batting_stats[batter_num]['Earned Bases'] += 1\n", + " bases[2] = False\n", + " if bases[1]:\n", + " bases[2] = True\n", + " bases[1] = False\n", + " batting_stats[batter_num]['Earned Bases'] += 1\n", + " if bases[0]:\n", + " bases[1] = True\n", + " batting_stats[batter_num]['Earned Bases'] += 1\n", + "\n", + " bases[0] = True\n", + " batting_stats[batter_num]['Earned Bases'] += 1\n", + "\n", + " elif hit_type == 'Double':\n", + " batting_stats[batter_num]['Double'] += 1\n", + "\n", + " # All base runners advance 2 bases\n", + " if bases[2]:\n", + " runs_scored += 1\n", + " batting_stats[batter_num]['RBI'] += 1\n", + " batting_stats[batter_num]['Earned Bases'] += 1\n", + " bases[2] = False\n", + " if bases[1]:\n", + " runs_scored += 1\n", + " batting_stats[batter_num]['RBI'] += 1\n", + " batting_stats[batter_num]['Earned Bases'] += 2\n", + " bases[1] = False\n", + " if bases[0]:\n", + " bases[2] = True\n", + " batting_stats[batter_num]['Earned Bases'] += 2\n", + " bases[0] = False\n", + "\n", + " bases[1] = True\n", + " batting_stats[batter_num]['Earned Bases'] += 2\n", + "\n", + " elif hit_type == 'Triple':\n", + " batting_stats[batter_num]['Triple'] += 1\n", + "\n", + " # All base runners advance 3 bases\n", + " if bases[2]:\n", + " runs_scored += 1\n", + " batting_stats[batter_num]['RBI'] += 1\n", + " batting_stats[batter_num]['Earned Bases'] += 1\n", + " bases[2] = False\n", + " if bases[1]:\n", + " runs_scored += 1\n", + " batting_stats[batter_num]['RBI'] += 1\n", + " batting_stats[batter_num]['Earned Bases'] += 2\n", + " bases[1] = False\n", + " if bases[0]:\n", + " runs_scored += 1\n", + " batting_stats[batter_num]['RBI'] += 1\n", + " batting_stats[batter_num]['Earned Bases'] += 3\n", + " bases[0] = False\n", + "\n", + " bases[2] = True\n", + " batting_stats[batter_num]['Earned Bases'] += 3\n", + "\n", + " elif hit_type == 'Home Run':\n", + " batting_stats[batter_num]['Home Run'] += 1\n", + "\n", + " # Check if a Grand Slam was scored\n", + " if bases[0] and bases[1] and bases[2]:\n", + " batting_stats[batter_num]['Grand Slam'] += 1\n", + "\n", + " # All base runners and the hitter score a run\n", + " if bases[2]:\n", + " runs_scored += 1\n", + " batting_stats[batter_num]['RBI'] += 1\n", + " batting_stats[batter_num]['Earned Bases'] += 1\n", + " bases[2] = False\n", + " if bases[1]:\n", + " runs_scored += 1\n", + " batting_stats[batter_num]['RBI'] += 1\n", + " batting_stats[batter_num]['Earned Bases'] += 2\n", + " bases[1] = False\n", + " if bases[0]:\n", + " runs_scored += 1\n", + " batting_stats[batter_num]['RBI'] += 1\n", + " batting_stats[batter_num]['Earned Bases'] += 3\n", + " bases[0] = False\n", + "\n", + " runs_scored += 1\n", + " batting_stats[batter_num]['RBI'] += 1\n", + " batting_stats[batter_num]['Earned Bases'] += 4\n", + "\n", + " else:\n", + " # Batter struck out, flew out, or grounded out\n", + " batters_out += 1\n", + " batting_stats[batter_num]['Out'] += 1\n", + "\n", + " batter_num = (batter_num + 1) % len(batters)\n", + "\n", + " return runs_scored, batting_stats" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [ + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "a48d044db65b42529e0cff1ac86648fa", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "HBox(children=(IntProgress(value=0, max=6), HTML(value='')))" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n" + ] + } + ], + "source": [ + "designated_hitter_spot_scores = {}\n", + "num_simulated_games = 1000000\n", + "for team_avg in tqdm([0.1, 0.15, 0.2, 0.25, 0.3, 0.35]):\n", + " for designated_hitter_spot in range(9):\n", + " batters = [team_avg] * 9\n", + " batters[designated_hitter_spot] = 0.35\n", + " aprun = ParallelExecutor(n_jobs=-1, use_bar=False)\n", + " designated_hitter_spot_scores[(team_avg, designated_hitter_spot)] = [runs_scored for runs_scored, _ in aprun(total=num_simulated_games)(delayed(simulate_game)(batters) for _ in range(num_simulated_games))]" + ] + }, + { + "cell_type": "code", + "execution_count": 64, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "''" + ] + }, + "execution_count": 64, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "dh_batting_avgs = []\n", + "for team_avg in reversed([0.1, 0.15, 0.2, 0.25, 0.3, 0.35]):\n", + " dh_spot_avgs = []\n", + " for designated_hitter_spot in range(9):\n", + " dh_spot_avgs.append(np.mean(designated_hitter_spot_scores[(team_avg, designated_hitter_spot)]))\n", + " dh_spot_avgs = np.array(dh_spot_avgs) / np.mean(dh_spot_avgs)\n", + " dh_batting_avgs.append(dh_spot_avgs)\n", + "\n", + "plt.figure(figsize=(9, 9))\n", + "sb.heatmap(dh_batting_avgs, cmap='PuOr', center=1., annot=True, fmt='.3f', cbar=False)\n", + "plt.xticks([x + 0.5 for x in range(9)], [str(x) for x in range(1, 10)], fontsize=12)\n", + "plt.xlabel('DH Batting Position (BA=0.35)', fontsize=14)\n", + "plt.yticks([y + 0.5 for y in range(6)], reversed([0.1, 0.15, 0.2, 0.25, 0.3, 0.35]), fontsize=12, va='center')\n", + "plt.ylabel('Team Batting Average (BA)', fontsize=14)\n", + "plt.title('Batting order matters when one player is much\\nbetter than their teammates\\n\\n', fontsize=20)\n", + "plt.text(4.5, -0.1, 'Measured: Relative runs scored based on the DH batting position\\n>1 means more runs scored, <1 means fewer runs scored', fontsize=12, ha='center')\n", + "plt.text(-0.7, 6.8, 'Data source: League averages & custom baseball simulations\\nAuthor: Randal S. Olson (randalolson.com / @randal_olson)', fontsize=10, ha='left')\n", + "plt.savefig('mlb-batting-order-dh.png', bbox_inches='tight')\n", + ";" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "sig diff: team avg=0.1, dh pos=1 vs. dh pos=3 [p=1.993213882431106e-34]\n", + "sig diff: team avg=0.1, dh pos=1 vs. dh pos=4 [p=1.812699459453188e-33]\n", + "sig diff: team avg=0.1, dh pos=1 vs. dh pos=5 [p=4.841408611226961e-105]\n", + "sig diff: team avg=0.1, dh pos=1 vs. dh pos=6 [p=2.1989383913301317e-231]\n", + "sig diff: team avg=0.1, dh pos=1 vs. dh pos=7 [p=9.216188457618672e-207]\n", + "sig diff: team avg=0.1, dh pos=1 vs. dh pos=8 [p=3.667389122454236e-218]\n", + "sig diff: team avg=0.1, dh pos=1 vs. dh pos=9 [p=3.4321976744637874e-290]\n", + "sig diff: team avg=0.1, dh pos=2 vs. dh pos=3 [p=8.683361888508758e-21]\n", + "sig diff: team avg=0.1, dh pos=2 vs. dh pos=4 [p=4.275214713813377e-20]\n", + "sig diff: team avg=0.1, dh pos=2 vs. dh pos=5 [p=2.307786280302862e-79]\n", + "sig diff: team avg=0.1, dh pos=2 vs. dh pos=6 [p=6.56752502068817e-192]\n", + "sig diff: team avg=0.1, dh pos=2 vs. dh pos=7 [p=1.2862878707847538e-169]\n", + "sig diff: team avg=0.1, dh pos=2 vs. dh pos=8 [p=6.758757959239213e-180]\n", + "sig diff: team avg=0.1, dh pos=2 vs. dh pos=9 [p=1.7225195850226612e-245]\n", + "sig diff: team avg=0.1, dh pos=3 vs. dh pos=5 [p=1.8386948714134494e-21]\n", + "sig diff: team avg=0.1, dh pos=3 vs. dh pos=6 [p=1.6438493001481296e-90]\n", + "sig diff: team avg=0.1, dh pos=3 vs. dh pos=7 [p=1.8420283773808343e-75]\n", + "sig diff: team avg=0.1, dh pos=3 vs. dh pos=8 [p=2.922048694446345e-82]\n", + "sig diff: team avg=0.1, dh pos=3 vs. dh pos=9 [p=8.729968564474104e-128]\n", + "sig diff: team avg=0.1, dh pos=4 vs. dh pos=5 [p=7.157137876264341e-22]\n", + "sig diff: team avg=0.1, dh pos=4 vs. dh pos=6 [p=4.583023030013289e-91]\n", + "sig diff: team avg=0.1, dh pos=4 vs. dh pos=7 [p=4.8140938524114977e-76]\n", + "sig diff: team avg=0.1, dh pos=4 vs. dh pos=8 [p=7.650725116291236e-83]\n", + "sig diff: team avg=0.1, dh pos=4 vs. dh pos=9 [p=2.4714887218395744e-128]\n", + "sig diff: team avg=0.1, dh pos=5 vs. dh pos=6 [p=2.198816819980043e-26]\n", + "sig diff: team avg=0.1, dh pos=5 vs. dh pos=7 [p=1.0330372720533307e-18]\n", + "sig diff: team avg=0.1, dh pos=5 vs. dh pos=8 [p=4.768588761976132e-22]\n", + "sig diff: team avg=0.1, dh pos=5 vs. dh pos=9 [p=2.1756207162931975e-47]\n", + "sig diff: team avg=0.1, dh pos=7 vs. dh pos=9 [p=1.8820378340149334e-08]\n", + "sig diff: team avg=0.1, dh pos=8 vs. dh pos=9 [p=1.532389060082728e-06]\n", + "sig diff: team avg=0.15, dh pos=1 vs. dh pos=3 [p=3.6557297985692933e-06]\n", + "sig diff: team avg=0.15, dh pos=1 vs. dh pos=5 [p=1.4410639275113839e-18]\n", + "sig diff: team avg=0.15, dh pos=1 vs. dh pos=6 [p=2.813016210280305e-69]\n", + "sig diff: team avg=0.15, dh pos=1 vs. dh pos=7 [p=2.1148242931535942e-89]\n", + "sig diff: team avg=0.15, dh pos=1 vs. dh pos=8 [p=3.304295742713236e-120]\n", + "sig diff: team avg=0.15, dh pos=1 vs. dh pos=9 [p=2.137620551842133e-178]\n", + "sig diff: team avg=0.15, dh pos=2 vs. dh pos=3 [p=9.408419520887769e-10]\n", + "sig diff: team avg=0.15, dh pos=2 vs. dh pos=5 [p=9.070076759034137e-25]\n", + "sig diff: team avg=0.15, dh pos=2 vs. dh pos=6 [p=4.013501898130506e-81]\n", + "sig diff: team avg=0.15, dh pos=2 vs. dh pos=7 [p=7.944112339150383e-103]\n", + "sig diff: team avg=0.15, dh pos=2 vs. dh pos=8 [p=8.693675681304036e-136]\n", + "sig diff: team avg=0.15, dh pos=2 vs. dh pos=9 [p=2.4995069467551577e-197]\n", + "sig diff: team avg=0.15, dh pos=3 vs. dh pos=6 [p=2.1216224794592715e-38]\n", + "sig diff: team avg=0.15, dh pos=3 vs. dh pos=7 [p=1.3510161214298604e-53]\n", + "sig diff: team avg=0.15, dh pos=3 vs. dh pos=8 [p=9.038350203657884e-78]\n", + "sig diff: team avg=0.15, dh pos=3 vs. dh pos=9 [p=1.6883407647869588e-125]\n", + "sig diff: team avg=0.15, dh pos=4 vs. dh pos=5 [p=9.32637132490468e-16]\n", + "sig diff: team avg=0.15, dh pos=4 vs. dh pos=6 [p=2.516207750135432e-63]\n", + "sig diff: team avg=0.15, dh pos=4 vs. dh pos=7 [p=1.513573427948481e-82]\n", + "sig diff: team avg=0.15, dh pos=4 vs. dh pos=8 [p=4.0313322280118733e-112]\n", + "sig diff: team avg=0.15, dh pos=4 vs. dh pos=9 [p=2.808888831509607e-168]\n", + "sig diff: team avg=0.15, dh pos=5 vs. dh pos=6 [p=2.2369635603850538e-18]\n", + "sig diff: team avg=0.15, dh pos=5 vs. dh pos=7 [p=4.441855163805096e-29]\n", + "sig diff: team avg=0.15, dh pos=5 vs. dh pos=8 [p=3.653180674858543e-47]\n", + "sig diff: team avg=0.15, dh pos=5 vs. dh pos=9 [p=3.159014991272495e-85]\n", + "sig diff: team avg=0.15, dh pos=6 vs. dh pos=8 [p=1.504718632116115e-08]\n", + "sig diff: team avg=0.15, dh pos=6 vs. dh pos=9 [p=3.424427465554104e-27]\n", + "sig diff: team avg=0.15, dh pos=7 vs. dh pos=9 [p=7.239966785374588e-17]\n", + "sig diff: team avg=0.15, dh pos=8 vs. dh pos=9 [p=2.632610106337814e-07]\n", + "sig diff: team avg=0.2, dh pos=1 vs. dh pos=3 [p=4.975863769272197e-06]\n", + "sig diff: team avg=0.2, dh pos=1 vs. dh pos=6 [p=2.65483444031005e-28]\n", + "sig diff: team avg=0.2, dh pos=1 vs. dh pos=7 [p=1.8135853092597406e-47]\n", + "sig diff: team avg=0.2, dh pos=1 vs. dh pos=8 [p=1.150233689898291e-57]\n", + "sig diff: team avg=0.2, dh pos=1 vs. dh pos=9 [p=7.223424302190309e-92]\n", + "sig diff: team avg=0.2, dh pos=2 vs. dh pos=6 [p=1.0411706910861108e-19]\n", + "sig diff: team avg=0.2, dh pos=2 vs. dh pos=7 [p=5.1747610796208696e-36]\n", + "sig diff: team avg=0.2, dh pos=2 vs. dh pos=8 [p=6.258135807210273e-45]\n", + "sig diff: team avg=0.2, dh pos=2 vs. dh pos=9 [p=1.5616448083207673e-75]\n", + "sig diff: team avg=0.2, dh pos=3 vs. dh pos=6 [p=9.158553336775526e-11]\n", + "sig diff: team avg=0.2, dh pos=3 vs. dh pos=7 [p=3.301865172490029e-23]\n", + "sig diff: team avg=0.2, dh pos=3 vs. dh pos=8 [p=2.1319152939525667e-30]\n", + "sig diff: team avg=0.2, dh pos=3 vs. dh pos=9 [p=4.16454555014728e-56]\n", + "sig diff: team avg=0.2, dh pos=4 vs. dh pos=6 [p=7.091753492774976e-27]\n", + "sig diff: team avg=0.2, dh pos=4 vs. dh pos=7 [p=1.3363453468048125e-45]\n", + "sig diff: team avg=0.2, dh pos=4 vs. dh pos=8 [p=1.3048721867324426e-55]\n", + "sig diff: team avg=0.2, dh pos=4 vs. dh pos=9 [p=2.650185348750165e-89]\n", + "sig diff: team avg=0.2, dh pos=5 vs. dh pos=6 [p=1.4343465725467364e-11]\n", + "sig diff: team avg=0.2, dh pos=5 vs. dh pos=7 [p=2.2522684790558515e-24]\n", + "sig diff: team avg=0.2, dh pos=5 vs. dh pos=8 [p=1.0047752339155035e-31]\n", + "sig diff: team avg=0.2, dh pos=5 vs. dh pos=9 [p=7.322521942273125e-58]\n", + "sig diff: team avg=0.2, dh pos=6 vs. dh pos=8 [p=6.891044968687213e-07]\n", + "sig diff: team avg=0.2, dh pos=6 vs. dh pos=9 [p=1.8501164693310642e-20]\n", + "sig diff: team avg=0.2, dh pos=7 vs. dh pos=9 [p=5.55812122235324e-09]\n", + "sig diff: team avg=0.25, dh pos=1 vs. dh pos=6 [p=1.3831070831091773e-08]\n", + "sig diff: team avg=0.25, dh pos=1 vs. dh pos=7 [p=3.31894013383353e-18]\n", + "sig diff: team avg=0.25, dh pos=1 vs. dh pos=8 [p=1.7330019936918686e-26]\n", + "sig diff: team avg=0.25, dh pos=1 vs. dh pos=9 [p=2.313896122609819e-28]\n", + "sig diff: team avg=0.25, dh pos=2 vs. dh pos=7 [p=2.165570151778953e-08]\n", + "sig diff: team avg=0.25, dh pos=2 vs. dh pos=8 [p=4.208549321541679e-14]\n", + "sig diff: team avg=0.25, dh pos=2 vs. dh pos=9 [p=1.871896887582137e-15]\n", + "sig diff: team avg=0.25, dh pos=3 vs. dh pos=7 [p=3.2875112864625612e-06]\n", + "sig diff: team avg=0.25, dh pos=3 vs. dh pos=8 [p=3.877797203112571e-11]\n", + "sig diff: team avg=0.25, dh pos=3 vs. dh pos=9 [p=2.481145930009218e-12]\n", + "sig diff: team avg=0.25, dh pos=4 vs. dh pos=7 [p=1.1449304045033806e-12]\n", + "sig diff: team avg=0.25, dh pos=4 vs. dh pos=8 [p=1.226266128442354e-19]\n", + "sig diff: team avg=0.25, dh pos=4 vs. dh pos=9 [p=3.0013494742914022e-21]\n", + "sig diff: team avg=0.25, dh pos=5 vs. dh pos=7 [p=3.756596993806079e-07]\n", + "sig diff: team avg=0.25, dh pos=5 vs. dh pos=8 [p=1.9972127491978356e-12]\n", + "sig diff: team avg=0.25, dh pos=5 vs. dh pos=9 [p=1.0843693706190971e-13]\n", + "sig diff: team avg=0.25, dh pos=6 vs. dh pos=8 [p=6.095539057877671e-07]\n", + "sig diff: team avg=0.25, dh pos=6 vs. dh pos=9 [p=7.246783482517967e-08]\n", + "sig diff: team avg=0.3, dh pos=1 vs. dh pos=7 [p=3.590625549191536e-06]\n", + "sig diff: team avg=0.3, dh pos=1 vs. dh pos=8 [p=4.0136192312912695e-11]\n", + "sig diff: team avg=0.3, dh pos=1 vs. dh pos=9 [p=1.7985941375427346e-10]\n", + "sig diff: team avg=0.3, dh pos=2 vs. dh pos=8 [p=7.586368508725617e-10]\n", + "sig diff: team avg=0.3, dh pos=2 vs. dh pos=9 [p=3.0993959675870173e-09]\n", + "sig diff: team avg=0.3, dh pos=3 vs. dh pos=8 [p=7.627671059317768e-08]\n", + "sig diff: team avg=0.3, dh pos=3 vs. dh pos=9 [p=2.632896126595547e-07]\n", + "sig diff: team avg=0.3, dh pos=4 vs. dh pos=7 [p=5.161961870945482e-07]\n", + "sig diff: team avg=0.3, dh pos=4 vs. dh pos=8 [p=2.699565677716188e-12]\n", + "sig diff: team avg=0.3, dh pos=4 vs. dh pos=9 [p=1.3251648748904703e-11]\n", + "sig diff: team avg=0.3, dh pos=5 vs. dh pos=8 [p=7.733403379191462e-07]\n", + "sig diff: team avg=0.3, dh pos=5 vs. dh pos=9 [p=2.435910255012577e-06]\n" + ] + } + ], + "source": [ + "from scipy.stats import ranksums\n", + "from itertools import product\n", + "\n", + "for team_avg1, designated_hitter_spot1, team_avg2, designated_hitter_spot2 in product([0.1, 0.15, 0.2, 0.25, 0.3, 0.35], range(9), [0.1, 0.15, 0.2, 0.25, 0.3, 0.35], range(9)):\n", + " if team_avg1 != team_avg2:\n", + " continue\n", + " if designated_hitter_spot1 > designated_hitter_spot2:\n", + " continue\n", + " if team_avg1 == team_avg2 and designated_hitter_spot1 == designated_hitter_spot2:\n", + " continue\n", + " statistic, pval = ranksums(designated_hitter_spot_scores[(team_avg1, designated_hitter_spot1)], designated_hitter_spot_scores[(team_avg2, designated_hitter_spot2)])\n", + " if pval < 1e-5:\n", + " print('sig diff: team avg={}, dh pos={} vs. dh pos={} [p={}]'.format(team_avg1, designated_hitter_spot1 + 1, designated_hitter_spot2 + 1, pval))" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [ + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "7090098ae5344608824b5159a98774c9", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "HBox(children=(IntProgress(value=0, max=6), HTML(value='')))" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n" + ] + } + ], + "source": [ + "pitcher_spot_scores = {}\n", + "num_simulated_games = 1000000\n", + "for team_avg in tqdm([0.1, 0.15, 0.2, 0.25, 0.3, 0.35]):\n", + " for pitcher_spot in range(9):\n", + " batters = [team_avg] * 9\n", + " batters[pitcher_spot] = 0.1\n", + " aprun = ParallelExecutor(n_jobs=-1, use_bar=False)\n", + " pitcher_spot_scores[(team_avg, pitcher_spot)] = [runs_scored for runs_scored, _ in aprun(total=num_simulated_games)(delayed(simulate_game)(batters) for _ in range(num_simulated_games))]" + ] + }, + { + "cell_type": "code", + "execution_count": 65, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "''" + ] + }, + "execution_count": 65, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "p_batting_avgs = []\n", + "for team_avg in reversed([0.1, 0.15, 0.2, 0.25, 0.3, 0.35]):\n", + " p_spot_avgs = []\n", + " for pitcher_spot in range(9):\n", + " p_spot_avgs.append(np.mean(pitcher_spot_scores[(team_avg, pitcher_spot)]))\n", + " p_spot_avgs = np.array(p_spot_avgs) / np.mean(p_spot_avgs)\n", + " p_batting_avgs.append(p_spot_avgs)\n", + "\n", + "plt.figure(figsize=(9, 9))\n", + "sb.heatmap(p_batting_avgs, cmap='PuOr', center=1., annot=True, fmt='.3f', cbar=False)\n", + "plt.xticks([x + 0.5 for x in range(9)], [str(x) for x in range(1, 10)], fontsize=12)\n", + "plt.xlabel('Pitcher Batting Position (BA=0.1)', fontsize=14)\n", + "plt.yticks([y + 0.5 for y in range(6)], reversed([0.1, 0.15, 0.2, 0.25, 0.3, 0.35]), fontsize=12, va='center')\n", + "plt.ylabel('Team Batting Average (BA)', fontsize=14)\n", + "plt.title('Batting order matters when one player is much\\nworse than their teammates\\n\\n', fontsize=20)\n", + "plt.text(4.5, -0.1, 'Measured: Relative runs scored based on the Pitcher batting position\\n>1 means more runs scored, <1 means fewer runs scored', fontsize=12, ha='center')\n", + "plt.text(-0.7, 6.8, 'Data source: League averages & custom baseball simulations\\nAuthor: Randal S. Olson (randalolson.com / @randal_olson)', fontsize=10, ha='left')\n", + "plt.savefig('mlb-batting-order-pitcher.png', bbox_inches='tight')\n", + ";" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "sig diff: team avg=0.15, pitcher pos=1 vs. pitcher pos=5 [p=3.8851625783791845e-06]\n", + "sig diff: team avg=0.15, pitcher pos=1 vs. pitcher pos=6 [p=1.6567387490416848e-09]\n", + "sig diff: team avg=0.15, pitcher pos=1 vs. pitcher pos=7 [p=3.521864556215601e-13]\n", + "sig diff: team avg=0.15, pitcher pos=1 vs. pitcher pos=8 [p=2.2218326239175095e-14]\n", + "sig diff: team avg=0.15, pitcher pos=1 vs. pitcher pos=9 [p=7.785499313865129e-19]\n", + "sig diff: team avg=0.15, pitcher pos=2 vs. pitcher pos=6 [p=2.0124828886376083e-06]\n", + "sig diff: team avg=0.15, pitcher pos=2 vs. pitcher pos=7 [p=2.0015496834873097e-09]\n", + "sig diff: team avg=0.15, pitcher pos=2 vs. pitcher pos=8 [p=1.995996488992889e-10]\n", + "sig diff: team avg=0.15, pitcher pos=2 vs. pitcher pos=9 [p=3.2618519915831955e-14]\n", + "sig diff: team avg=0.15, pitcher pos=3 vs. pitcher pos=7 [p=1.0796284981609147e-06]\n", + "sig diff: team avg=0.15, pitcher pos=3 vs. pitcher pos=8 [p=1.6098095825185125e-07]\n", + "sig diff: team avg=0.15, pitcher pos=3 vs. pitcher pos=9 [p=1.0132397815959589e-10]\n", + "sig diff: team avg=0.15, pitcher pos=4 vs. pitcher pos=6 [p=7.396386504689107e-07]\n", + "sig diff: team avg=0.15, pitcher pos=4 vs. pitcher pos=7 [p=5.706121239186367e-10]\n", + "sig diff: team avg=0.15, pitcher pos=4 vs. pitcher pos=8 [p=5.3022601322627294e-11]\n", + "sig diff: team avg=0.15, pitcher pos=4 vs. pitcher pos=9 [p=6.745193973135644e-15]\n", + "sig diff: team avg=0.2, pitcher pos=1 vs. pitcher pos=6 [p=3.736793590540399e-21]\n", + "sig diff: team avg=0.2, pitcher pos=1 vs. pitcher pos=7 [p=2.524976319110312e-18]\n", + "sig diff: team avg=0.2, pitcher pos=1 vs. pitcher pos=8 [p=6.746491316929479e-35]\n", + "sig diff: team avg=0.2, pitcher pos=1 vs. pitcher pos=9 [p=6.403222171714512e-45]\n", + "sig diff: team avg=0.2, pitcher pos=2 vs. pitcher pos=6 [p=2.745377273205046e-20]\n", + "sig diff: team avg=0.2, pitcher pos=2 vs. pitcher pos=7 [p=1.592850476032973e-17]\n", + "sig diff: team avg=0.2, pitcher pos=2 vs. pitcher pos=8 [p=9.402831597164582e-34]\n", + "sig diff: team avg=0.2, pitcher pos=2 vs. pitcher pos=9 [p=1.3256041606779473e-43]\n", + "sig diff: team avg=0.2, pitcher pos=3 vs. pitcher pos=6 [p=3.052850586857199e-19]\n", + "sig diff: team avg=0.2, pitcher pos=3 vs. pitcher pos=7 [p=1.4702483430295165e-16]\n", + "sig diff: team avg=0.2, pitcher pos=3 vs. pitcher pos=8 [p=2.2604947523265107e-32]\n", + "sig diff: team avg=0.2, pitcher pos=3 vs. pitcher pos=9 [p=5.097574771619022e-42]\n", + "sig diff: team avg=0.2, pitcher pos=4 vs. pitcher pos=6 [p=3.0892533399419725e-19]\n", + "sig diff: team avg=0.2, pitcher pos=4 vs. pitcher pos=7 [p=1.5077781232512707e-16]\n", + "sig diff: team avg=0.2, pitcher pos=4 vs. pitcher pos=8 [p=2.1263766982882966e-32]\n", + "sig diff: team avg=0.2, pitcher pos=4 vs. pitcher pos=9 [p=4.537418406485668e-42]\n", + "sig diff: team avg=0.2, pitcher pos=5 vs. pitcher pos=6 [p=1.8903311286109317e-12]\n", + "sig diff: team avg=0.2, pitcher pos=5 vs. pitcher pos=7 [p=2.4052778093024993e-10]\n", + "sig diff: team avg=0.2, pitcher pos=5 vs. pitcher pos=8 [p=2.987994710899591e-23]\n", + "sig diff: team avg=0.2, pitcher pos=5 vs. pitcher pos=9 [p=1.6689098012995852e-31]\n", + "sig diff: team avg=0.2, pitcher pos=6 vs. pitcher pos=9 [p=3.2940442949580448e-06]\n", + "sig diff: team avg=0.2, pitcher pos=7 vs. pitcher pos=9 [p=8.444971822549267e-08]\n", + "sig diff: team avg=0.25, pitcher pos=1 vs. pitcher pos=6 [p=1.263607488343873e-23]\n", + "sig diff: team avg=0.25, pitcher pos=1 vs. pitcher pos=7 [p=4.516058690648763e-49]\n", + "sig diff: team avg=0.25, pitcher pos=1 vs. pitcher pos=8 [p=1.868709972805515e-46]\n", + "sig diff: team avg=0.25, pitcher pos=1 vs. pitcher pos=9 [p=9.124875977854823e-82]\n", + "sig diff: team avg=0.25, pitcher pos=2 vs. pitcher pos=6 [p=9.121582635686449e-20]\n", + "sig diff: team avg=0.25, pitcher pos=2 vs. pitcher pos=7 [p=2.658571220387695e-43]\n", + "sig diff: team avg=0.25, pitcher pos=2 vs. pitcher pos=8 [p=7.532218740635377e-41]\n", + "sig diff: team avg=0.25, pitcher pos=2 vs. pitcher pos=9 [p=3.792046725058025e-74]\n", + "sig diff: team avg=0.25, pitcher pos=3 vs. pitcher pos=6 [p=8.383966192001412e-09]\n", + "sig diff: team avg=0.25, pitcher pos=3 vs. pitcher pos=7 [p=1.4330997662660238e-25]\n", + "sig diff: team avg=0.25, pitcher pos=3 vs. pitcher pos=8 [p=1.0181059424978879e-23]\n", + "sig diff: team avg=0.25, pitcher pos=3 vs. pitcher pos=9 [p=5.150512722206992e-50]\n", + "sig diff: team avg=0.25, pitcher pos=4 vs. pitcher pos=6 [p=2.4556456675838104e-22]\n", + "sig diff: team avg=0.25, pitcher pos=4 vs. pitcher pos=7 [p=3.8858858801144415e-47]\n", + "sig diff: team avg=0.25, pitcher pos=4 vs. pitcher pos=8 [p=1.405260832926898e-44]\n", + "sig diff: team avg=0.25, pitcher pos=4 vs. pitcher pos=9 [p=3.7388299589130853e-79]\n", + "sig diff: team avg=0.25, pitcher pos=5 vs. pitcher pos=6 [p=1.0041981665787318e-16]\n", + "sig diff: team avg=0.25, pitcher pos=5 vs. pitcher pos=7 [p=1.1186354391340145e-38]\n", + "sig diff: team avg=0.25, pitcher pos=5 vs. pitcher pos=8 [p=2.2474110418558506e-36]\n", + "sig diff: team avg=0.25, pitcher pos=5 vs. pitcher pos=9 [p=4.689603775373094e-68]\n", + "sig diff: team avg=0.25, pitcher pos=6 vs. pitcher pos=7 [p=2.6120598419790005e-06]\n", + "sig diff: team avg=0.25, pitcher pos=6 vs. pitcher pos=9 [p=6.531623482124316e-20]\n", + "sig diff: team avg=0.25, pitcher pos=7 vs. pitcher pos=9 [p=8.779138829657236e-06]\n", + "sig diff: team avg=0.25, pitcher pos=8 vs. pitcher pos=9 [p=1.194392607523925e-06]\n", + "sig diff: team avg=0.3, pitcher pos=1 vs. pitcher pos=2 [p=8.353757123256407e-08]\n", + "sig diff: team avg=0.3, pitcher pos=1 vs. pitcher pos=3 [p=1.6153351773311131e-22]\n", + "sig diff: team avg=0.3, pitcher pos=1 vs. pitcher pos=4 [p=2.6074603335403655e-06]\n", + "sig diff: team avg=0.3, pitcher pos=1 vs. pitcher pos=5 [p=6.0048940289536404e-15]\n", + "sig diff: team avg=0.3, pitcher pos=1 vs. pitcher pos=6 [p=1.7188273321673662e-52]\n", + "sig diff: team avg=0.3, pitcher pos=1 vs. pitcher pos=7 [p=6.956087996395689e-82]\n", + "sig diff: team avg=0.3, pitcher pos=1 vs. pitcher pos=8 [p=3.4107621024146694e-109]\n", + "sig diff: team avg=0.3, pitcher pos=1 vs. pitcher pos=9 [p=4.971738054338718e-173]\n", + "sig diff: team avg=0.3, pitcher pos=2 vs. pitcher pos=3 [p=9.959224425730982e-06]\n", + "sig diff: team avg=0.3, pitcher pos=2 vs. pitcher pos=6 [p=4.3000326686945074e-23]\n", + "sig diff: team avg=0.3, pitcher pos=2 vs. pitcher pos=7 [p=2.0450594381375726e-43]\n", + "sig diff: team avg=0.3, pitcher pos=2 vs. pitcher pos=8 [p=1.025315766940147e-63]\n", + "sig diff: team avg=0.3, pitcher pos=2 vs. pitcher pos=9 [p=6.1794625367623775e-114]\n", + "sig diff: team avg=0.3, pitcher pos=3 vs. pitcher pos=4 [p=4.4498404478852373e-07]\n", + "sig diff: team avg=0.3, pitcher pos=3 vs. pitcher pos=6 [p=4.320334730364867e-08]\n", + "sig diff: team avg=0.3, pitcher pos=3 vs. pitcher pos=7 [p=6.30824649646141e-21]\n", + "sig diff: team avg=0.3, pitcher pos=3 vs. pitcher pos=8 [p=2.0209047768680628e-35]\n", + "sig diff: team avg=0.3, pitcher pos=3 vs. pitcher pos=9 [p=2.6572390367461014e-74]\n", + "sig diff: team avg=0.3, pitcher pos=4 vs. pitcher pos=6 [p=6.026023750905654e-26]\n", + "sig diff: team avg=0.3, pitcher pos=4 vs. pitcher pos=7 [p=2.881407355644203e-47]\n", + "sig diff: team avg=0.3, pitcher pos=4 vs. pitcher pos=8 [p=2.215982775474632e-68]\n", + "sig diff: team avg=0.3, pitcher pos=4 vs. pitcher pos=9 [p=4.880235566606631e-120]\n", + "sig diff: team avg=0.3, pitcher pos=5 vs. pitcher pos=6 [p=1.1352532168880723e-13]\n", + "sig diff: team avg=0.3, pitcher pos=5 vs. pitcher pos=7 [p=9.404064042439993e-30]\n", + "sig diff: team avg=0.3, pitcher pos=5 vs. pitcher pos=8 [p=8.688559264804496e-47]\n", + "sig diff: team avg=0.3, pitcher pos=5 vs. pitcher pos=9 [p=1.391575735005446e-90]\n", + "sig diff: team avg=0.3, pitcher pos=6 vs. pitcher pos=8 [p=3.578976447437263e-12]\n", + "sig diff: team avg=0.3, pitcher pos=6 vs. pitcher pos=9 [p=2.2812745629023015e-37]\n", + "sig diff: team avg=0.3, pitcher pos=7 vs. pitcher pos=9 [p=8.020784190788164e-19]\n", + "sig diff: team avg=0.3, pitcher pos=8 vs. pitcher pos=9 [p=6.172240291460689e-09]\n", + "sig diff: team avg=0.35, pitcher pos=1 vs. pitcher pos=2 [p=3.813780983491385e-15]\n", + "sig diff: team avg=0.35, pitcher pos=1 vs. pitcher pos=3 [p=1.3830330447057497e-36]\n", + "sig diff: team avg=0.35, pitcher pos=1 vs. pitcher pos=4 [p=2.5780721611446785e-27]\n", + "sig diff: team avg=0.35, pitcher pos=1 vs. pitcher pos=5 [p=1.1216694099222578e-27]\n", + "sig diff: team avg=0.35, pitcher pos=1 vs. pitcher pos=6 [p=3.872729624040197e-90]\n", + "sig diff: team avg=0.35, pitcher pos=1 vs. pitcher pos=7 [p=2.626956916522825e-176]\n", + "sig diff: team avg=0.35, pitcher pos=1 vs. pitcher pos=8 [p=9.715274614129921e-230]\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "sig diff: team avg=0.35, pitcher pos=1 vs. pitcher pos=9 [p=3.220267321795051e-281]\n", + "sig diff: team avg=0.35, pitcher pos=2 vs. pitcher pos=3 [p=1.6139670212100365e-06]\n", + "sig diff: team avg=0.35, pitcher pos=2 vs. pitcher pos=6 [p=8.299306585791126e-35]\n", + "sig diff: team avg=0.35, pitcher pos=2 vs. pitcher pos=7 [p=1.8586225058566005e-93]\n", + "sig diff: team avg=0.35, pitcher pos=2 vs. pitcher pos=8 [p=2.603919487805058e-133]\n", + "sig diff: team avg=0.35, pitcher pos=2 vs. pitcher pos=9 [p=4.022886588831997e-173]\n", + "sig diff: team avg=0.35, pitcher pos=3 vs. pitcher pos=6 [p=6.614034101392958e-14]\n", + "sig diff: team avg=0.35, pitcher pos=3 vs. pitcher pos=7 [p=1.7637445840810704e-55]\n", + "sig diff: team avg=0.35, pitcher pos=3 vs. pitcher pos=8 [p=7.739828991638169e-87]\n", + "sig diff: team avg=0.35, pitcher pos=3 vs. pitcher pos=9 [p=2.1719000592863943e-119]\n", + "sig diff: team avg=0.35, pitcher pos=4 vs. pitcher pos=6 [p=1.2942527134733691e-20]\n", + "sig diff: team avg=0.35, pitcher pos=4 vs. pitcher pos=7 [p=1.2835707549227605e-68]\n", + "sig diff: team avg=0.35, pitcher pos=4 vs. pitcher pos=8 [p=3.6300281863188245e-103]\n", + "sig diff: team avg=0.35, pitcher pos=4 vs. pitcher pos=9 [p=1.8965909045113902e-138]\n", + "sig diff: team avg=0.35, pitcher pos=5 vs. pitcher pos=6 [p=2.730228869895967e-20]\n", + "sig diff: team avg=0.35, pitcher pos=5 vs. pitcher pos=7 [p=5.1291556746202074e-68]\n", + "sig diff: team avg=0.35, pitcher pos=5 vs. pitcher pos=8 [p=2.0013757721704826e-102]\n", + "sig diff: team avg=0.35, pitcher pos=5 vs. pitcher pos=9 [p=1.3596282572447242e-137]\n", + "sig diff: team avg=0.35, pitcher pos=6 vs. pitcher pos=7 [p=2.1711619378971672e-16]\n", + "sig diff: team avg=0.35, pitcher pos=6 vs. pitcher pos=8 [p=1.0883133428675732e-34]\n", + "sig diff: team avg=0.35, pitcher pos=6 vs. pitcher pos=9 [p=4.59793707847946e-56]\n", + "sig diff: team avg=0.35, pitcher pos=7 vs. pitcher pos=9 [p=3.626139910490934e-14]\n" + ] + } + ], + "source": [ + "from scipy.stats import ranksums\n", + "from itertools import product\n", + "\n", + "for team_avg1, pitcher_spot1, team_avg2, pitcher_spot2 in product([0.1, 0.15, 0.2, 0.25, 0.3, 0.35], range(9), [0.1, 0.15, 0.2, 0.25, 0.3, 0.35], range(9)):\n", + " if team_avg1 != team_avg2:\n", + " continue\n", + " if pitcher_spot1 > pitcher_spot2:\n", + " continue\n", + " if team_avg1 == team_avg2 and pitcher_spot1 == pitcher_spot2:\n", + " continue\n", + " statistic, pval = ranksums(pitcher_spot_scores[(team_avg1, pitcher_spot1)], pitcher_spot_scores[(team_avg2, pitcher_spot2)])\n", + " if pval < 1e-5:\n", + " print('sig diff: team avg={}, pitcher pos={} vs. pitcher pos={} [p={}]'.format(team_avg1, pitcher_spot1 + 1, pitcher_spot2 + 1, pval))" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [ + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "96d6c555d55e45c59744678efa8bf796", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "HBox(children=(IntProgress(value=0, max=6), HTML(value='')))" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n" + ] + } + ], + "source": [ + "hitter_spot_scores = {}\n", + "num_simulated_games = 1000000\n", + "for hitter_ba in tqdm([0.1, 0.15, 0.2, 0.25, 0.3, 0.35]):\n", + " for hitter_spot in range(9):\n", + " batters = [0.25] * 9\n", + " batters[hitter_spot] = hitter_ba\n", + " aprun = ParallelExecutor(n_jobs=-1, use_bar=False)\n", + " hitter_spot_scores[(hitter_ba, hitter_spot)] = [runs_scored for runs_scored, _ in aprun(total=num_simulated_games)(delayed(simulate_game)(batters) for _ in range(num_simulated_games))]" + ] + }, + { + "cell_type": "code", + "execution_count": 66, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "''" + ] + }, + "execution_count": 66, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "hitter_batting_avgs = []\n", + "for hitter_ba in reversed([0.1, 0.15, 0.2, 0.25, 0.3, 0.35]):\n", + " hitter_spot_avgs = []\n", + " for hitter_spot in range(9):\n", + " hitter_spot_avgs.append(np.mean(hitter_spot_scores[(hitter_ba, hitter_spot)]))\n", + " hitter_spot_avgs = np.array(hitter_spot_avgs) / np.mean(hitter_spot_avgs)\n", + " hitter_batting_avgs.append(hitter_spot_avgs)\n", + "\n", + "plt.figure(figsize=(9, 9))\n", + "sb.heatmap(hitter_batting_avgs, cmap='PuOr', center=1., annot=True, fmt='.3f', cbar=False)\n", + "plt.xticks([x + 0.5 for x in range(9)], [str(x) for x in range(1, 10)], fontsize=12)\n", + "plt.xlabel('Hitter Batting Position (Team BA=0.25)', fontsize=14)\n", + "plt.yticks([y + 0.5 for y in range(6)], reversed([0.1, 0.15, 0.2, 0.25, 0.3, 0.35]), fontsize=12, va='center')\n", + "plt.ylabel('Hitter Batting Average (BA)', fontsize=14)\n", + "plt.title('Exceptional batters should lead the batting line-up,\\npoor batters should conclude the line-up\\n\\n', fontsize=20)\n", + "plt.text(4.5, -0.1, 'Measured: Relative runs scored based on the Hitter batting position & BA\\n>1 means more runs scored, <1 means fewer runs scored', fontsize=12, ha='center')\n", + "plt.text(-0.7, 6.8, 'Data source: League averages & custom baseball simulations\\nAuthor: Randal S. Olson (randalolson.com / @randal_olson)', fontsize=10, ha='left')\n", + "plt.savefig('mlb-batting-order-varying-hitter.png', bbox_inches='tight')\n", + ";" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "sig diff: batter avg=0.1, batter pos=1 vs. batter pos=6 [p=2.3356714160801088e-24]\n", + "sig diff: batter avg=0.1, batter pos=1 vs. batter pos=7 [p=1.9333496033653533e-42]\n", + "sig diff: batter avg=0.1, batter pos=1 vs. batter pos=8 [p=6.10815448231743e-53]\n", + "sig diff: batter avg=0.1, batter pos=1 vs. batter pos=9 [p=1.575713429661131e-97]\n", + "sig diff: batter avg=0.1, batter pos=2 vs. batter pos=6 [p=2.0215081818800176e-15]\n", + "sig diff: batter avg=0.1, batter pos=2 vs. batter pos=7 [p=4.017891266089287e-30]\n", + "sig diff: batter avg=0.1, batter pos=2 vs. batter pos=8 [p=5.341388537747882e-39]\n", + "sig diff: batter avg=0.1, batter pos=2 vs. batter pos=9 [p=5.060705124564318e-78]\n", + "sig diff: batter avg=0.1, batter pos=3 vs. batter pos=6 [p=1.9653904111195653e-11]\n", + "sig diff: batter avg=0.1, batter pos=3 vs. batter pos=7 [p=2.7407260526466543e-24]\n", + "sig diff: batter avg=0.1, batter pos=3 vs. batter pos=8 [p=2.816306052006508e-32]\n", + "sig diff: batter avg=0.1, batter pos=3 vs. batter pos=9 [p=3.0275119028564315e-68]\n", + "sig diff: batter avg=0.1, batter pos=4 vs. batter pos=6 [p=5.661422005059482e-20]\n", + "sig diff: batter avg=0.1, batter pos=4 vs. batter pos=7 [p=1.6915555936193104e-36]\n", + "sig diff: batter avg=0.1, batter pos=4 vs. batter pos=8 [p=2.9356014190839377e-46]\n", + "sig diff: batter avg=0.1, batter pos=4 vs. batter pos=9 [p=2.9250009360182003e-88]\n", + "sig diff: batter avg=0.1, batter pos=5 vs. batter pos=6 [p=1.4549070522486695e-13]\n", + "sig diff: batter avg=0.1, batter pos=5 vs. batter pos=7 [p=1.828373272957227e-27]\n", + "sig diff: batter avg=0.1, batter pos=5 vs. batter pos=8 [p=5.822777629859619e-36]\n", + "sig diff: batter avg=0.1, batter pos=5 vs. batter pos=9 [p=1.0934504454814966e-73]\n", + "sig diff: batter avg=0.1, batter pos=6 vs. batter pos=8 [p=2.9773549237136997e-07]\n", + "sig diff: batter avg=0.1, batter pos=6 vs. batter pos=9 [p=4.8361947840322014e-27]\n", + "sig diff: batter avg=0.1, batter pos=7 vs. batter pos=9 [p=2.7297346879156197e-13]\n", + "sig diff: batter avg=0.1, batter pos=8 vs. batter pos=9 [p=1.5922744179739228e-08]\n", + "sig diff: batter avg=0.15, batter pos=1 vs. batter pos=6 [p=4.366179130152077e-06]\n", + "sig diff: batter avg=0.15, batter pos=1 vs. batter pos=7 [p=1.934107684620965e-12]\n", + "sig diff: batter avg=0.15, batter pos=1 vs. batter pos=8 [p=7.78624198027531e-20]\n", + "sig diff: batter avg=0.15, batter pos=1 vs. batter pos=9 [p=1.3890943563058296e-38]\n", + "sig diff: batter avg=0.15, batter pos=2 vs. batter pos=6 [p=4.209619788129184e-08]\n", + "sig diff: batter avg=0.15, batter pos=2 vs. batter pos=7 [p=2.28957523663897e-15]\n", + "sig diff: batter avg=0.15, batter pos=2 vs. batter pos=8 [p=1.5958028806387556e-23]\n", + "sig diff: batter avg=0.15, batter pos=2 vs. batter pos=9 [p=1.0540870392388548e-43]\n", + "sig diff: batter avg=0.15, batter pos=3 vs. batter pos=7 [p=5.888897525539422e-07]\n", + "sig diff: batter avg=0.15, batter pos=3 vs. batter pos=8 [p=1.5522832890635303e-12]\n", + "sig diff: batter avg=0.15, batter pos=3 vs. batter pos=9 [p=7.454010617532868e-28]\n", + "sig diff: batter avg=0.15, batter pos=4 vs. batter pos=6 [p=1.5887629310380087e-08]\n", + "sig diff: batter avg=0.15, batter pos=4 vs. batter pos=7 [p=5.738765364593026e-16]\n", + "sig diff: batter avg=0.15, batter pos=4 vs. batter pos=8 [p=2.814964152068496e-24]\n", + "sig diff: batter avg=0.15, batter pos=4 vs. batter pos=9 [p=9.416275387342214e-45]\n", + "sig diff: batter avg=0.15, batter pos=5 vs. batter pos=7 [p=5.789746845829661e-07]\n", + "sig diff: batter avg=0.15, batter pos=5 vs. batter pos=8 [p=1.5306117655840685e-12]\n", + "sig diff: batter avg=0.15, batter pos=5 vs. batter pos=9 [p=7.237481516249173e-28]\n", + "sig diff: batter avg=0.15, batter pos=6 vs. batter pos=8 [p=5.940356459903494e-06]\n", + "sig diff: batter avg=0.15, batter pos=6 vs. batter pos=9 [p=4.351690466180415e-17]\n", + "sig diff: batter avg=0.15, batter pos=7 vs. batter pos=9 [p=2.610584051321233e-09]\n", + "sig diff: batter avg=0.2, batter pos=1 vs. batter pos=9 [p=3.76689328874521e-08]\n", + "sig diff: batter avg=0.2, batter pos=2 vs. batter pos=8 [p=5.205859940162342e-06]\n", + "sig diff: batter avg=0.2, batter pos=2 vs. batter pos=9 [p=1.2174761546450417e-10]\n", + "sig diff: batter avg=0.2, batter pos=3 vs. batter pos=9 [p=7.448777734010058e-07]\n", + "sig diff: batter avg=0.2, batter pos=4 vs. batter pos=9 [p=4.803472139153211e-08]\n", + "sig diff: batter avg=0.2, batter pos=5 vs. batter pos=7 [p=2.4459594614199587e-06]\n", + "sig diff: batter avg=0.2, batter pos=5 vs. batter pos=8 [p=7.626491206096117e-07]\n", + "sig diff: batter avg=0.2, batter pos=5 vs. batter pos=9 [p=8.845036615126957e-12]\n", + "sig diff: batter avg=0.3, batter pos=1 vs. batter pos=7 [p=4.087726662547383e-09]\n", + "sig diff: batter avg=0.3, batter pos=1 vs. batter pos=8 [p=1.3205738706976753e-09]\n", + "sig diff: batter avg=0.3, batter pos=1 vs. batter pos=9 [p=1.0290332194299952e-15]\n", + "sig diff: batter avg=0.3, batter pos=2 vs. batter pos=7 [p=9.480606656615423e-07]\n", + "sig diff: batter avg=0.3, batter pos=2 vs. batter pos=8 [p=3.633806148920251e-07]\n", + "sig diff: batter avg=0.3, batter pos=2 vs. batter pos=9 [p=1.8419919798882447e-12]\n", + "sig diff: batter avg=0.3, batter pos=3 vs. batter pos=9 [p=2.3167418309385654e-10]\n", + "sig diff: batter avg=0.3, batter pos=4 vs. batter pos=7 [p=7.55298575627675e-06]\n", + "sig diff: batter avg=0.3, batter pos=4 vs. batter pos=8 [p=3.1216536518845004e-06]\n", + "sig diff: batter avg=0.3, batter pos=4 vs. batter pos=9 [p=3.5434170853752895e-11]\n", + "sig diff: batter avg=0.3, batter pos=5 vs. batter pos=8 [p=5.911151637054599e-06]\n", + "sig diff: batter avg=0.3, batter pos=5 vs. batter pos=9 [p=8.765394985228765e-11]\n", + "sig diff: batter avg=0.35, batter pos=1 vs. batter pos=6 [p=1.7269273863841656e-12]\n", + "sig diff: batter avg=0.35, batter pos=1 vs. batter pos=7 [p=1.0342126228400915e-19]\n", + "sig diff: batter avg=0.35, batter pos=1 vs. batter pos=8 [p=2.8883476180027313e-26]\n", + "sig diff: batter avg=0.35, batter pos=1 vs. batter pos=9 [p=1.0533809552536307e-44]\n", + "sig diff: batter avg=0.35, batter pos=2 vs. batter pos=7 [p=6.177648266053254e-08]\n", + "sig diff: batter avg=0.35, batter pos=2 vs. batter pos=8 [p=3.9592132643227364e-12]\n", + "sig diff: batter avg=0.35, batter pos=2 vs. batter pos=9 [p=3.60635063988907e-25]\n", + "sig diff: batter avg=0.35, batter pos=3 vs. batter pos=7 [p=2.092547777615177e-06]\n", + "sig diff: batter avg=0.35, batter pos=3 vs. batter pos=8 [p=3.601328161213642e-10]\n", + "sig diff: batter avg=0.35, batter pos=3 vs. batter pos=9 [p=3.1411817736944074e-22]\n", + "sig diff: batter avg=0.35, batter pos=4 vs. batter pos=6 [p=3.8732703941556835e-10]\n", + "sig diff: batter avg=0.35, batter pos=4 vs. batter pos=7 [p=1.1262407382894222e-16]\n", + "sig diff: batter avg=0.35, batter pos=4 vs. batter pos=8 [p=1.0286309709980345e-22]\n", + "sig diff: batter avg=0.35, batter pos=4 vs. batter pos=9 [p=5.3593257566914e-40]\n", + "sig diff: batter avg=0.35, batter pos=5 vs. batter pos=7 [p=4.938191614284398e-10]\n", + "sig diff: batter avg=0.35, batter pos=5 vs. batter pos=8 [p=9.606821714815804e-15]\n", + "sig diff: batter avg=0.35, batter pos=5 vs. batter pos=9 [p=5.513759189984902e-29]\n", + "sig diff: batter avg=0.35, batter pos=6 vs. batter pos=9 [p=2.7471407448075344e-12]\n", + "sig diff: batter avg=0.35, batter pos=7 vs. batter pos=9 [p=7.161732780696792e-07]\n" + ] + } + ], + "source": [ + "from scipy.stats import ranksums\n", + "from itertools import product\n", + "\n", + "for hitter_avg1, hitter_spot1, hitter_avg2, hitter_spot2 in product([0.1, 0.15, 0.2, 0.25, 0.3, 0.35], range(9), [0.1, 0.15, 0.2, 0.25, 0.3, 0.35], range(9)):\n", + " if hitter_avg1 != hitter_avg2:\n", + " continue\n", + " if hitter_spot1 > hitter_spot2:\n", + " continue\n", + " if hitter_avg1 == hitter_avg2 and hitter_spot1 == hitter_spot2:\n", + " continue\n", + " statistic, pval = ranksums(hitter_spot_scores[(hitter_avg1, hitter_spot1)], hitter_spot_scores[(hitter_avg2, hitter_spot2)])\n", + " if pval < 1e-5:\n", + " print('sig diff: batter avg={}, batter pos={} vs. batter pos={} [p={}]'.format(hitter_avg1, hitter_spot1 + 1, hitter_spot2 + 1, pval))" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": 218, + "metadata": { + "scrolled": true + }, + "outputs": [], + "source": [ + "batters = [0.25] * 9\n", + "num_simulated_games = 1000000\n", + "aprun = ParallelExecutor(n_jobs=-1, use_bar=False)\n", + "average_team_stats = [game_stats for _, game_stats in aprun(total=num_simulated_games)(delayed(simulate_game)(batters) for _ in range(num_simulated_games))]" + ] + }, + { + "cell_type": "code", + "execution_count": 219, + "metadata": { + "scrolled": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "''" + ] + }, + "execution_count": 219, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "batting_stat = 'At Bat'\n", + "hitter_spot_avgs = []\n", + "for hitter_spot in range(9):\n", + " hitter_spot_avgs.append(np.mean([game_stats[hitter_spot][batting_stat] for game_stats in average_team_stats]))\n", + "\n", + "with plt.style.context('tableau10'):\n", + " plt.figure()\n", + " plt.bar(range(len(hitter_spot_avgs)), hitter_spot_avgs, color='#9467BD')\n", + " batting_stat += 's per Game'\n", + " plt.ylabel(batting_stat)\n", + " plt.xticks(range(9), [str(x) for x in range(1, 10)])\n", + " plt.xlabel('Batting Position')\n", + " plt.title('Earlier batters have more At Bats on average')\n", + " plt.text(-1.3, -0.75, 'Data source: League averages & custom baseball simulations\\nAuthor: Randal S. Olson (randalolson.com / @randal_olson)', fontsize=10, ha='left')\n", + " plt.savefig('mlb-batting-order-stats-{}.png'.format(batting_stat.replace(' ', '-')), bbox_inches='tight')\n", + ";" + ] + }, + { + "cell_type": "code", + "execution_count": 220, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "[4.419502,\n", + " 4.31038,\n", + " 4.212098,\n", + " 4.118346,\n", + " 4.0211,\n", + " 3.913748,\n", + " 3.79499,\n", + " 3.667696,\n", + " 3.53981]" + ] + }, + "execution_count": 220, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "batting_stat = 'At Bat'\n", + "hitter_spot_avgs = []\n", + "for hitter_spot in range(9):\n", + " hitter_spot_avgs.append(np.mean([game_stats[hitter_spot][batting_stat] for game_stats in average_team_stats]))\n", + "hitter_spot_avgs" + ] + }, + { + "cell_type": "code", + "execution_count": 221, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "''" + ] + }, + "execution_count": 221, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "batting_stat = 'Players On Base'\n", + "hitter_spot_avgs = []\n", + "for hitter_spot in range(9):\n", + " hitter_spot_avgs.append(np.mean([game_stats[hitter_spot][batting_stat] for game_stats in average_team_stats]))\n", + "\n", + "with plt.style.context('tableau10'):\n", + " plt.figure()\n", + " plt.bar(range(len(hitter_spot_avgs)), hitter_spot_avgs, color='#9467BD')\n", + " batting_stat += ' per Game'\n", + " plt.ylabel(batting_stat)\n", + " plt.xticks(range(9), [str(x) for x in range(1, 10)])\n", + " plt.xlabel('Batting Position')\n", + " plt.title('Middle batters tend to have more players on base when batting')\n", + " plt.text(-1.5, -0.4, 'Data source: League averages & custom baseball simulations\\nAuthor: Randal S. Olson (randalolson.com / @randal_olson)', fontsize=10, ha='left')\n", + " plt.savefig('mlb-batting-order-stats-{}.png'.format(batting_stat.replace(' ', '-')), bbox_inches='tight')\n", + ";" + ] + }, + { + "cell_type": "code", + "execution_count": 222, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "''" + ] + }, + "execution_count": 222, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "batting_stat = 'RBI'\n", + "hitter_spot_avgs = []\n", + "for hitter_spot in range(9):\n", + " hitter_spot_avgs.append(np.mean([game_stats[hitter_spot][batting_stat] for game_stats in average_team_stats]))\n", + "\n", + "with plt.style.context('tableau10'):\n", + " plt.figure()\n", + " plt.bar(range(len(hitter_spot_avgs)), hitter_spot_avgs, color='#9467BD')\n", + " batting_stat += ' per Game'\n", + " plt.ylabel(batting_stat)\n", + " plt.xticks(range(9), [str(x) for x in range(1, 10)])\n", + " plt.xlabel('Batting Position')\n", + " plt.title('Middle batters tend to contribute more RBI')\n", + " plt.text(-1.6, -0.06, 'Data source: League averages & custom baseball simulations\\nAuthor: Randal S. Olson (randalolson.com / @randal_olson)', fontsize=10, ha='left')\n", + " plt.savefig('mlb-batting-order-stats-{}.png'.format(batting_stat.replace(' ', '-')), bbox_inches='tight')\n", + ";" + ] + }, + { + "cell_type": "code", + "execution_count": 225, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "[0.300596,\n", + " 0.305068,\n", + " 0.311784,\n", + " 0.321964,\n", + " 0.317941,\n", + " 0.299361,\n", + " 0.292952,\n", + " 0.287004,\n", + " 0.27537]" + ] + }, + "execution_count": 225, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "batting_stat = 'RBI'\n", + "hitter_spot_avgs = []\n", + "for hitter_spot in range(9):\n", + " hitter_spot_avgs.append(np.mean([game_stats[hitter_spot][batting_stat] for game_stats in average_team_stats]))\n", + "hitter_spot_avgs" + ] + }, + { + "cell_type": "code", + "execution_count": 223, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "''" + ] + }, + "execution_count": 223, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "batting_stat = 'Bases Loaded'\n", + "hitter_spot_avgs = []\n", + "for hitter_spot in range(9):\n", + " hitter_spot_avgs.append(np.mean([game_stats[hitter_spot][batting_stat] for game_stats in average_team_stats]))\n", + "\n", + "with plt.style.context('tableau10'):\n", + " plt.figure()\n", + " plt.bar(range(len(hitter_spot_avgs)), hitter_spot_avgs, color='#9467BD')\n", + " batting_stat += ' per Game'\n", + " plt.ylabel(batting_stat)\n", + " plt.xticks(range(9), [str(x) for x in range(1, 10)])\n", + " plt.xlabel('Batting Position')\n", + " plt.title('The 6th batter is most likely to face a Bases Loaded situation')\n", + " plt.text(-1.6, -0.013, 'Data source: League averages & custom baseball simulations\\nAuthor: Randal S. Olson (randalolson.com / @randal_olson)', fontsize=10, ha='left')\n", + " plt.savefig('mlb-batting-order-stats-{}.png'.format(batting_stat.replace(' ', '-')), bbox_inches='tight')\n", + ";" + ] + }, + { + "cell_type": "code", + "execution_count": 224, + "metadata": { + "scrolled": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "''" + ] + }, + "execution_count": 224, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "batting_stat = 'Grand Slam'\n", + "hitter_spot_avgs = []\n", + "for hitter_spot in range(9):\n", + " hitter_spot_avgs.append(np.mean([game_stats[hitter_spot][batting_stat] for game_stats in average_team_stats]))\n", + "\n", + "with plt.style.context('tableau10'):\n", + " plt.figure()\n", + " plt.bar(range(len(hitter_spot_avgs)), hitter_spot_avgs, color='#9467BD')\n", + " batting_stat += 's per Game'\n", + " plt.ylabel(batting_stat)\n", + " plt.xticks(range(9), [str(x) for x in range(1, 10)])\n", + " plt.xlabel('Batting Position')\n", + " plt.title('The 6th batter is most likely to hit a Grand Slam')\n", + " plt.text(-1.85, -0.0005, 'Data source: League averages & custom baseball simulations\\nAuthor: Randal S. Olson (randalolson.com / @randal_olson)', fontsize=10, ha='left')\n", + " plt.savefig('mlb-batting-order-stats-{}.png'.format(batting_stat.replace(' ', '-')), bbox_inches='tight')\n", + ";" + ] + }, + { + "cell_type": "code", + "execution_count": 226, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "[0.001948,\n", + " 0.001837,\n", + " 0.001915,\n", + " 0.001929,\n", + " 0.002284,\n", + " 0.002683,\n", + " 0.002059,\n", + " 0.001988,\n", + " 0.002107]" + ] + }, + "execution_count": 226, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "batting_stat = 'Grand Slam'\n", + "hitter_spot_avgs = []\n", + "for hitter_spot in range(9):\n", + " hitter_spot_avgs.append(np.mean([game_stats[hitter_spot][batting_stat] for game_stats in average_team_stats]))\n", + "hitter_spot_avgs" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.6.6" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/rethinking-population-pyramid/Rethinking the population pyramid.ipynb b/rethinking-population-pyramid/Rethinking the population pyramid.ipynb index 49f4cdf..8b193b9 100644 --- a/rethinking-population-pyramid/Rethinking the population pyramid.ipynb +++ b/rethinking-population-pyramid/Rethinking the population pyramid.ipynb @@ -4,11 +4,11 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "#Rethinking the population pyramid\n", + "# Rethinking the population pyramid\n", "\n", "This notebook provides the methodology and code used in the blog post, [Rethinking the population pyramid](http://www.randalolson.com/2015/07/14/rethinking-the-population-pyramid/).\n", "\n", - "###Notebook by [Randal S. Olson](http://www.randalolson.com/)\n", + "### Notebook by [Randal S. Olson](http://www.randalolson.com/)\n", "\n", "Please see the [repository README file](https://github.com/rhiever/Data-Analysis-and-Machine-Learning-Projects#license) for the licenses and usage terms for the instructional material and code in this notebook. In general, I have licensed this material so that it is widely useable and shareable as possible." ] @@ -304,7 +304,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.4.3" + "version": "3.5.1" } }, "nbformat": 4, diff --git a/revisiting-vaccine-visualizations/Revisiting the vaccine visualizations.ipynb b/revisiting-vaccine-visualizations/Revisiting the vaccine visualizations.ipynb new file mode 100644 index 0000000..b4c6d42 --- /dev/null +++ b/revisiting-vaccine-visualizations/Revisiting the vaccine visualizations.ipynb @@ -0,0 +1,484 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Revisiting the vaccine visualizations\n", + "\n", + "This notebook provides the methodology and code used in the blog post, [Revisiting the vaccine visualizations]( http://www.randalolson.com/2016/03/04/revisiting-the-vaccine-visualizations/).\n", + "\n", + "### Notebook by [Randal S. Olson](http://www.randalolson.com/)\n", + "\n", + "Please see the [repository README file](https://github.com/rhiever/Data-Analysis-and-Machine-Learning-Projects#license) for the licenses and usage terms for the instructional material and code in this notebook. In general, I have licensed this material so that it is widely useable and shareable as possible.\n", + "\n", + "### Related resources\n", + "\n", + "Here is the original WSJ article that inspired this rework: http://graphics.wsj.com/infectious-diseases-and-vaccines/\n", + "\n", + "Here is an article showing how you can remake the charts in R: http://www.r-bloggers.com/recreating-the-vaccination-heatmaps-in-r/\n", + "\n", + "### How to download the data\n", + "\n", + "This notebook assumes that you have downloaded the Project Tycho data and placed it in a directory called `data` in the directory you ran the notebook. To download the data (instructions from [here](http://www.r-bloggers.com/recreating-the-vaccination-heatmaps-in-r/)):\n", + "\n", + "1) Register and login to [\"Project Tycho\"](https://www.tycho.pitt.edu/)\n", + "\n", + "2) Go to level 1 data, then Search and retrieve data\n", + "\n", + "3) Now change a couple of options: geographic level := state; disease outcome := incidence\n", + "\n", + "4) Add all states (highlight all at once with Ctrl+A (or Cmd+A on Macs)\n", + "\n", + "5) Hit submit and scroll down to Click here to download results to excel\n", + "\n", + "6) Open in excel and export to CSV" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Import all of the libraries we'll be using" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Vendor: Continuum Analytics, Inc.\n", + "Package: mkl\n", + "Message: trial mode expires in 29 days\n", + "/Users/randal_olson/anaconda/lib/python3.5/site-packages/matplotlib/__init__.py:872: UserWarning: axes.color_cycle is deprecated and replaced with axes.prop_cycle; please use the latter.\n", + " warnings.warn(self.msg_depr % (key, alt_key))\n" + ] + } + ], + "source": [ + "%matplotlib inline\n", + "import matplotlib.pyplot as plt\n", + "import seaborn as sb\n", + "import pandas as pd\n", + "import numpy as np\n", + "\n", + "sb.set_style('white')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Take a quick look at the data" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\"Weekly Polio Incidence, 1928-1969\"\r\n", + "\"Data provided by Project Tycho, Data Version 1.0.0, released 28 November 2013.\"\r\n", + "YEAR,WEEK,ALABAMA,ALASKA,ARIZONA,ARKANSAS,CALIFORNIA,COLORADO,CONNECTICUT,DELAWARE,DISTRICT OF COLUMBIA,FLORIDA,GEORGIA,HAWAII,IDAHO,ILLINOIS,INDIANA,IOWA,KANSAS,KENTUCKY,LOUISIANA,MAINE,MARYLAND,MASSACHUSETTS,MICHIGAN,MINNESOTA,MISSISSIPPI,MISSOURI,MONTANA,NEBRASKA,NEVADA,NEW HAMPSHIRE,NEW JERSEY,NEW MEXICO,NEW YORK,NORTH CAROLINA,NORTH DAKOTA,OHIO,OKLAHOMA,OREGON,PENNSYLVANIA,RHODE ISLAND,SOUTH CAROLINA,SOUTH DAKOTA,TENNESSEE,TEXAS,UTAH,VERMONT,VIRGINIA,WASHINGTON,WEST VIRGINIA,WISCONSIN,WYOMING\r\n", + "1928,1,0.00,-,0.00,0.00,0.17,0.39,0.00,0.00,-,0.00,0.03,-,0.00,0.03,0.03,0.08,0.00,0.00,0.00,0.00,0.06,0.14,0.04,0.00,0.00,0.03,0.18,0.07,-,-,0.08,0.00,0.08,0.00,-,0.02,0.00,0.64,0.00,0.00,0.06,0.00,0.04,0.05,0.00,0.00,-,0.26,0.06,0.03,0.00\r\n", + "1928,2,0.00,-,0.00,0.00,0.15,0.20,0.00,0.00,-,0.00,0.00,-,0.00,0.01,0.03,-,0.22,0.00,0.05,0.13,0.06,0.14,0.04,0.04,0.00,0.06,0.00,0.07,-,-,0.03,0.00,0.05,0.03,0.45,-,0.04,0.43,0.03,0.00,0.06,0.00,0.04,0.04,0.00,0.00,-,0.39,0.24,0.03,0.00\r\n", + "1928,3,0.04,-,0.00,0.00,0.11,0.00,0.06,0.00,-,0.00,-,-,0.00,0.03,0.03,-,0.00,0.00,0.00,0.00,0.00,0.07,0.02,0.00,0.00,0.03,0.18,0.00,-,-,0.00,0.00,0.03,0.00,0.00,0.06,0.00,1.07,0.02,0.00,0.35,0.00,0.00,0.00,0.00,0.00,-,0.13,0.12,0.03,0.00\r\n", + "1928,4,0.00,-,0.24,0.11,0.07,0.20,0.06,0.00,0.00,0.00,0.00,-,0.00,0.05,0.12,0.00,0.00,0.00,0.00,0.00,0.00,0.02,0.02,0.00,0.00,0.06,0.00,0.00,-,0.00,0.03,0.00,0.06,0.00,0.15,0.00,0.09,0.53,0.02,0.00,0.23,0.00,0.04,0.05,0.00,0.00,-,0.06,0.12,0.00,0.00\r\n", + "1928,5,0.00,-,0.24,0.00,0.32,0.00,0.13,0.00,0.00,0.00,0.00,-,0.00,0.04,0.00,0.04,0.00,0.00,0.00,0.38,0.12,0.02,0.04,0.00,0.00,0.00,0.00,0.15,-,0.00,0.03,0.48,0.07,0.00,0.00,0.03,0.00,0.32,0.00,0.00,0.17,0.15,0.00,0.05,0.00,0.00,-,0.13,0.06,0.03,0.00\r\n", + "1928,6,0.00,-,0.00,0.00,0.22,0.10,0.00,0.00,0.00,0.00,0.00,-,-,0.03,0.00,0.00,0.00,0.00,0.00,0.00,0.00,0.05,0.06,0.00,0.00,0.00,0.00,0.07,-,0.00,0.00,0.00,0.03,0.00,0.00,0.05,0.04,0.21,0.04,0.00,0.06,0.29,0.04,0.00,0.20,0.00,0.04,0.06,0.00,0.14,0.00\r\n", + "1928,7,0.08,-,0.00,0.00,0.13,0.00,0.00,0.00,0.00,0.00,0.00,-,0.22,0.01,0.00,0.00,0.00,0.00,0.00,0.00,0.00,0.09,0.00,0.00,0.00,0.00,0.00,0.00,-,0.21,0.03,0.24,0.02,0.03,0.15,0.05,0.04,0.32,0.01,0.00,0.00,0.00,0.00,0.00,0.40,0.00,-,0.00,0.00,0.07,0.00\r\n" + ] + } + ], + "source": [ + "!head data/POLIO_Incidence_1928-1969_20160304121200.csv" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Visualize the Polio data as a heatmap" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "''" + ] + }, + "execution_count": 4, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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Ttm1bWrZsSZs2bTAzM8PU1JTRo0cDj2a/qVKlCn379mXYsGGsWbOGDRs20KJF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\npk6dioODA6m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+ "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "polio_data = pd.read_csv('data/POLIO_Incidence_1928-1969_20160304121200.csv', skiprows=2, na_values='-')\n", + "\n", + "polio_years = list(polio_data['YEAR'].unique())\n", + "polio_states = polio_data.drop(['YEAR', 'WEEK'], axis=1).columns.values\n", + "polio_states = [state.title() for state in polio_states]\n", + "\n", + "polio_data.drop(['WEEK'], axis=1, inplace=True)\n", + "polio_data = polio_data.groupby('YEAR').sum()\n", + "polio_data = polio_data.transpose().values\n", + "\n", + "plt.figure(figsize=(12, 12))\n", + "sb.heatmap(polio_data, cmap='Reds', robust=True,\n", + " xticklabels=[year if year % 5 == 0 or year == max(polio_years) else '' for year in polio_years],\n", + " yticklabels=polio_states)\n", + "plt.plot([polio_years.index(1955) + 0.425, polio_years.index(1955) + 0.425],\n", + " [0, 51],\n", + " color='black', lw=1.5)\n", + "\n", + "cax = plt.gcf().axes[-1]\n", + "cax.set_yticklabels([10, 20, 30, 40, '50+'])\n", + "cax.tick_params(labelsize=12)\n", + "\n", + "plt.xticks(fontsize=12)\n", + "plt.yticks(fontsize=12)\n", + "\n", + "plt.text(0, 51.5, 'Polio cases in the United States', fontsize=14)\n", + "plt.text(polio_years.index(1955) + 0.15, 51.5, 'Vaccine introduced', fontsize=12, weight='bold')\n", + "plt.text(-8, -3, 'Data source: Project Tycho (tycho.pitt.edu) '\n", + " '| Author: Randy Olson (randalolson.com / @randal_olson)',\n", + " fontsize=10)\n", + "\n", + "plt.savefig('polio-cases-heatmap-sequential-colormap.png', bbox_inches='tight')\n", + ";" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Same process for the Measles data" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "''" + ] + }, + "execution_count": 5, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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dPBm66dIZWADC0HUYapsnLcGYl3oaSvei5fUm/VnazBBD7ZLXNn1eHYPX/b3P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Bw5koCAAJydnQkODiY/v5JzVIUQQggh7nd6Xc1/3cauXbvo0KEDjo6OADg7O/PRRx+xdetWfH19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\nhBBCAP8HFMuSQ3mVUoYAAAAASUVORK5CYII=\n", + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "measles_data = pd.read_csv('data/MEASLES_Incidence_1928-2003_20160304120254.csv', skiprows=2, na_values='-')\n", + "\n", + "measles_years = list(measles_data['YEAR'].unique())\n", + "measles_states = measles_data.drop(['YEAR', 'WEEK'], axis=1).columns.values\n", + "measles_states = [state.title() for state in measles_states]\n", + "\n", + "measles_data.drop(['WEEK'], axis=1, inplace=True)\n", + "measles_data = measles_data.groupby('YEAR').sum()\n", + "measles_data = measles_data.transpose().values\n", + "\n", + "plt.figure(figsize=(12, 12))\n", + "sb.heatmap(measles_data, cmap='Reds', robust=True,\n", + " xticklabels=[year if year % 10 == 0 else '' for year in measles_years],\n", + " yticklabels=measles_states)\n", + "plt.plot([polio_years.index(1963) + 0.425, polio_years.index(1963) + 0.425],\n", + " [0, 51],\n", + " color='black', lw=1.5)\n", + "\n", + "cax = plt.gcf().axes[-1]\n", + "cax.set_yticklabels([0, 200, 400, 600, 800, '1,000+'])\n", + "cax.tick_params(labelsize=12)\n", + "\n", + "plt.xticks(fontsize=12)\n", + "plt.yticks(fontsize=12)\n", + "\n", + "plt.text(0, 51.5, 'Measles cases in the United States', fontsize=14)\n", + "plt.text(polio_years.index(1963) + 0.05, 51.5, 'Vaccine introduced', fontsize=12, weight='bold')\n", + "plt.text(-14.5, -3, 'Data source: Project Tycho (tycho.pitt.edu) '\n", + " '| Author: Randy Olson (randalolson.com / @randal_olson)',\n", + " fontsize=10)\n", + "\n", + "plt.savefig('measles-cases-heatmap-sequential-colormap.png', bbox_inches='tight')\n", + ";" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Visualize the Polio data as a line chart" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "''" + ] + }, + "execution_count": 6, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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O2L17Ny677DJ8++23PoHqihUrcPToUTzyyCOYP38+unTpgr59+6Jv375Yt24dHn/88YAC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\nz549ZGdnM2/ePCKRCLfffjuhUAhN0xg3bhz9+vXjsssuo2PHjtj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+ "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "polio_data = pd.read_csv('data/POLIO_Incidence_1928-1969_20160304121200.csv', skiprows=2, na_values='-').fillna(0.)\n", + "\n", + "polio_data.drop(['WEEK'], axis=1, inplace=True)\n", + "polio_data = polio_data.groupby('YEAR').sum()\n", + "\n", + "polio_data.plot(color='#3F5D7D', alpha=0.25, lw=0.5, legend=False, figsize=(10, 7))\n", + "plt.plot([1955, 1955], [0, 160], color='black', lw=1.5)\n", + "polio_data.transpose().median().plot(color='#3F5D7D', lw=2)\n", + "plt.yticks(fontsize=12)\n", + "plt.xticks(fontsize=12)\n", + "plt.xlabel('')\n", + "plt.ylabel('# cases per 100,000 people', fontsize=14)\n", + "\n", + "plt.text(1928.5, 163, 'Polio cases in the United States', fontsize=14)\n", + "plt.text(1954.75, 163, 'Vaccine introduced', fontsize=12, weight='bold')\n", + "plt.text(1924, -17, 'Data source: Project Tycho (tycho.pitt.edu) '\n", + " '| Author: Randy Olson (randalolson.com / @randal_olson)',\n", + " fontsize=10)\n", + "\n", + "plt.savefig('polio-cases-line-chart-raw.png', bbox_inches='tight')\n", + ";" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Summarize Polio data with median + 95% CI" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/Users/randal_olson/anaconda/lib/python3.5/site-packages/numpy/lib/function_base.py:3151: RuntimeWarning: Invalid value encountered in median for 2 results\n", + " RuntimeWarning)\n" + ] + }, + { + "data": { + "text/plain": [ + "''" + ] + }, + "execution_count": 7, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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bpigsQkFxOaQyD7t3MGguNtAlsh0TNiKiNqiishI5+UUwQgyZ3NMpMegNJuj1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\nYGZmhkWLF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+ "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "polio_data = pd.read_csv('data/POLIO_Incidence_1928-1969_20160304121200.csv', skiprows=2, na_values='-').fillna(0.)\n", + "\n", + "polio_years = list(polio_data['YEAR'].unique())\n", + "polio_states = polio_data.drop(['YEAR', 'WEEK'], axis=1).columns.values\n", + "polio_states = [state.title() for state in polio_states]\n", + "\n", + "polio_data.drop(['WEEK'], axis=1, inplace=True)\n", + "polio_data = polio_data.groupby('YEAR').sum()\n", + "polio_data = pd.rolling_mean(polio_data, 3)\n", + "polio_data = polio_data.transpose().values\n", + "\n", + "plt.figure(figsize=(10, 7))\n", + "sb.tsplot(data=polio_data, ci=95, estimator=np.median, color='#3F5D7D')\n", + "plt.plot([polio_years.index(1955), polio_years.index(1955)], [0, 35], color='black', lw=1.5)\n", + "\n", + "plt.yticks(fontsize=12)\n", + "plt.xticks(range(len(polio_years)), [year if year % 5 == 0 else '' for year in polio_years], fontsize=12)\n", + "plt.ylabel('# cases per 100,000 people', fontsize=14)\n", + "\n", + "plt.text(0.3, 35.5, 'Polio cases in the United States', fontsize=14)\n", + "plt.text(polio_years.index(1955) - 0.3, 35.5, 'Vaccine introduced', fontsize=12, weight='bold')\n", + "plt.text(-3.5, -3.5, 'Data source: Project Tycho (tycho.pitt.edu) '\n", + " '| Author: Randy Olson (randalolson.com / @randal_olson)',\n", + " fontsize=10)\n", + "\n", + "plt.savefig('polio-cases-line-chart-statistics.png', bbox_inches='tight')\n", + ";" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Display the Polio data as small multiples" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "''" + ] + }, + "execution_count": 11, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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DwwN2dnaws7NDx44dkZeXh+joaFy7dg3e3t68NX8+VJMmTSAnJ4fTp0+jVatW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jYWR44cwc8//1yfIRIpuXLlSqOrBVFYWAh1dXU4Ojri/PnzdX68ZcuWISwsTOQ+N2/exKZN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\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pLl26xKFDh7STwL/Yw8jU1JRq1apRu3Ztihcvjkaj4e7du2zYsIGwsDDKlStHYmIid+7c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\nIYQQQgghhBBCCD2R5eScQgghhBBCCCGEEPlFEhd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+ "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "polio_data = pd.read_csv('data/POLIO_Incidence_1928-1969_20160304121200.csv', skiprows=2, na_values='-').fillna(0.)\n", + "\n", + "polio_data.drop(['WEEK'], axis=1, inplace=True)\n", + "polio_data = polio_data.groupby('YEAR').sum()\n", + "\n", + "plt.figure(figsize=(15, 10))\n", + "\n", + "column_count = 0\n", + "for column in polio_data.columns.values:\n", + " if 'DISTRICT' in column:\n", + " column_num = 53\n", + " state_name = 'Washington D.C.'\n", + " else:\n", + " column_count += 1\n", + " column_num = column_count\n", + " state_name = column.title()\n", + " \n", + " plt.subplot(11, 5, column_num)\n", + " polio_data[column].fillna(0.).plot(color='black', lw=0.5)\n", + " plt.plot([1955, 1955], [0, plt.ylim()[1]], color='black', lw=1)\n", + " \n", + " if column_num >= 46 and column_num != 48:\n", + " plt.xticks(range(1930, 1971, 10))\n", + " else:\n", + " plt.xticks([])\n", + " \n", + " plt.yticks([])\n", + " plt.xlabel('')\n", + " plt.title(state_name, fontsize=11)\n", + " \n", + "plt.tight_layout()\n", + "plt.text(1732.5, -220, 'Data source: Project Tycho (tycho.pitt.edu)\\n'\n", + " 'Author: Randy Olson (randalolson.com / @randal_olson)',\n", + " fontsize=10)\n", + "\n", + "plt.text(1853, 1850, 'Polio cases per 100,000 residents across the United States\\n'\n", + " '(vertical line = Polio vaccine introduced)',\n", + " ha='center', fontsize=18)\n", + "\n", + "plt.savefig('polio-cases-small-multiples.png', bbox_inches='tight')\n", + ";" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.5.1" + } + }, + "nbformat": 4, + "nbformat_minor": 0 +} diff --git a/tpot-demo/Hill_Valley_with_noise.csv.gz b/tpot-demo/Hill_Valley_with_noise.csv.gz new file mode 100644 index 0000000..8dbdfee Binary files /dev/null and b/tpot-demo/Hill_Valley_with_noise.csv.gz differ diff --git a/tpot-demo/Hill_Valley_without_noise.csv.gz b/tpot-demo/Hill_Valley_without_noise.csv.gz new file mode 100644 index 0000000..c7ade86 Binary files /dev/null and b/tpot-demo/Hill_Valley_without_noise.csv.gz differ diff --git a/tpot-demo/TPOT - A Python tool for automating data science.ipynb b/tpot-demo/TPOT - A Python tool for automating data science.ipynb new file mode 100644 index 0000000..9416b13 --- /dev/null +++ b/tpot-demo/TPOT - A Python tool for automating data science.ipynb @@ -0,0 +1,1366 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# TPOT: A Python tool for automating data science\n", + "\n", + "### Notebook by [Randal S. Olson](http://www.randalolson.com/)\n", + "\n", + "This notebook is a demo for the [TPOT](https://github.com/rhiever/tpot) data science automation tool under development at the [Penn Institute for Biomedical Informatics](http://upibi.org/).\n", + "\n", + "Below are code samples demonstrating why designing machine learning pipelines is difficult, and how TPOT automates that process.\n", + "\n", + "## License\n", + "\n", + "Please see the [repository README file](https://github.com/rhiever/Data-Analysis-and-Machine-Learning-Projects#license) for the licenses and usage terms for the instructional material and code in this notebook. In general, I have licensed this material so that it is as widely usable and shareable as possible." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Why automate data science?\n", + "\n", + "### Model hyperparameter tuning is important" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/html": [ + "
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X0nfme0CfN5mtSbTEViiO0JiZmVn0ihKhUevw/fbbDwilqKLkO4AxY8YAyW56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YAAAA\nJklEQVTMzKLnCxozMzOLni9ozMzMLHq+oDEzM7Po+YLGzMzMovd/hgbwLWZt4CAAAAAASUVORK5C\nYII=\n", + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "%matplotlib inline\n", + "import matplotlib.pyplot as plt\n", + "import seaborn as sb\n", + "\n", + "plt.figure(figsize=(8, 8))\n", + "\n", + "for record_num in range(1, 65):\n", + " plt.subplot(8, 8, record_num)\n", + " \n", + " digit_features = mnist_data.iloc[record_num].drop('class').values\n", + " sb.heatmap(digit_features.reshape((28, 28)),\n", + " cmap='Greys',\n", + " square=True, cbar=False,\n", + " xticklabels=[], yticklabels=[])\n", + "\n", + "plt.tight_layout()\n", + ";" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[ 0.9420414 0.9620217 0.94888635 0.94000857 0.95071429 0.94427775\n", + " 0.94955702 0.94240389 0.93467696 0.95554603]\n", + "0.947013394966\n" + ] + } + ], + "source": [ + "cv_scores = cross_val_score(RandomForestClassifier(n_estimators=10, n_jobs=-1),\n", + " X=mnist_data.drop('class', axis=1).values,\n", + " y=mnist_data.loc[:, 'class'].values,\n", + " cv=10)\n", + "\n", + "print(cv_scores)\n", + "print(np.mean(cv_scores))" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[ 0.96445396 0.97829812 0.97015991 0.96629053 0.96828571 0.96170882\n", + " 0.97084881 0.96698585 0.96483705 0.97641509]\n", + "0.968828385431\n" + ] + } + ], + "source": [ + "cv_scores = cross_val_score(RandomForestClassifier(n_estimators=100, n_jobs=-1),\n", + " X=mnist_data.drop('class', axis=1).values,\n", + " y=mnist_data.loc[:, 'class'].values,\n", + " cv=10)\n", + "\n", + "print(cv_scores)\n", + "print(np.mean(cv_scores))" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Model selection is important" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/html": [ + "
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X92 X93 X94 X95 \\\n", + "0 ... 1327.575109 1327.575350 1327.575552 1327.575719 \n", + "1 ... 7121.300474 7121.300438 7121.300410 7121.300387 \n", + "2 ... 807.545134 807.544181 807.543381 807.542709 \n", + "3 ... 47550.921710 47224.457710 46946.072760 46708.686150 \n", + "4 ... 1.790275 1.794794 1.798296 1.801010 \n", + "\n", + " X96 X97 X98 X99 X100 class \n", + "0 1327.575859 1327.575976 1327.576074 1327.576155 1327.576223 0 \n", + "1 7121.300368 7121.300353 7121.300341 7121.300331 7121.300323 1 \n", + "2 807.542144 807.541670 807.541272 807.540937 807.540656 1 \n", + "3 46506.259970 46333.645520 46186.452370 46060.936670 45953.905930 1 \n", + "4 1.803114 1.804744 1.806008 1.806987 1.807746 0 \n", + "\n", + "[5 rows x 101 columns]" + ] + }, + "execution_count": 5, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "import pandas as pd\n", + "import numpy as np\n", + "from sklearn.ensemble import RandomForestClassifier\n", + "from sklearn.linear_model import LogisticRegression\n", + "from sklearn.cross_validation import cross_val_score\n", + "\n", + "hill_valley_data = pd.read_csv('https://raw.githubusercontent.com/rhiever/Data-Analysis-and-Machine-Learning-Projects/master/tpot-demo/Hill_Valley_without_noise.csv.gz', sep='\\t', compression='gzip')\n", + "hill_valley_data.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "''" + ] + }, + "execution_count": 6, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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wpemPpekbTtM3lKZvODV2McNEZRE/TbVRltdEWV4bZVVjKbXloSXZQ7pcybRFa1eMtq4R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\nbm6hoY4koIRYQaKJLH/z/05wcWCG9c2VfPO5Hcs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+ "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "%matplotlib inline\n", + "import matplotlib.pyplot as plt\n", + "import seaborn as sb\n", + "\n", + "with plt.style.context('seaborn-notebook'):\n", + " plt.figure(figsize=(6, 6))\n", + " for record_num in range(1, 11):\n", + " plt.subplot(10, 1, record_num)\n", + " hv_record_features = hill_valley_data.loc[record_num].drop('class').values\n", + " plt.plot(hv_record_features)\n", + " plt.yticks([])\n", + " plt.xticks([])\n", + "\n", + " plt.tight_layout()\n", + ";" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[ 0.6147541 0.63934426 0.62809917 0.60330579 0.6446281 0.5785124\n", + " 0.66942149 0.55371901 0.49586777 0.66115702]\n", + "0.608880910446\n" + ] + } + ], + "source": [ + "cv_scores = cross_val_score(RandomForestClassifier(n_estimators=100, n_jobs=-1),\n", + " X=hill_valley_data.drop('class', axis=1).values,\n", + " y=hill_valley_data.loc[:, 'class'].values,\n", + " cv=10)\n", + "\n", + "print(cv_scores)\n", + "print(np.mean(cv_scores))" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[ 1. 1. 0.99173554 1. 1. 1. 1.\n", + " 0.99173554 1. 1. ]\n", + "0.998347107438\n" + ] + } + ], + "source": [ + "cv_scores = cross_val_score(LogisticRegression(),\n", + " X=hill_valley_data.drop('class', axis=1).values,\n", + " y=hill_valley_data.loc[:, 'class'].values,\n", + " cv=10)\n", + "\n", + "print(cv_scores)\n", + "print(np.mean(cv_scores))" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Feature preprocessing is important" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/html": [ + "
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5 rows × 101 columns

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" + ], + "text/plain": [ + " X1 X2 X3 X4 X5 X6 X7 \\\n", + "0 39.02 36.49 38.20 38.85 39.38 39.74 37.02 \n", + "1 1.83 1.71 1.77 1.77 1.68 1.78 1.80 \n", + "2 68177.69 66138.42 72981.88 74304.33 67549.66 69367.34 69169.41 \n", + "3 44889.06 39191.86 40728.46 38576.36 45876.06 47034.00 46611.43 \n", + "4 5.70 5.40 5.28 5.38 5.27 5.61 6.00 \n", + "\n", + " X8 X9 X10 ... X92 X93 X94 \\\n", + "0 39.53 38.81 38.79 ... 36.62 36.92 38.80 \n", + "1 1.70 1.75 1.78 ... 1.80 1.79 1.77 \n", + "2 73268.61 74465.84 72503.37 ... 73438.88 71053.35 71112.62 \n", + "3 37668.32 40980.89 38466.15 ... 42625.67 40684.20 46960.73 \n", + "4 5.38 5.34 5.87 ... 5.17 5.67 5.60 \n", + "\n", + " X95 X96 X97 X98 X99 X100 class \n", + "0 38.52 38.07 36.73 39.46 37.50 39.10 0 \n", + "1 1.74 1.74 1.80 1.78 1.75 1.69 1 \n", + "2 74916.48 72571.58 66348.97 71063.72 67404.27 74920.24 1 \n", + "3 44546.80 45410.53 47139.44 43095.68 40888.34 39615.19 0 \n", + "4 5.94 5.73 5.22 5.30 5.73 5.91 0 \n", + "\n", + "[5 rows x 101 columns]" + ] + }, + "execution_count": 9, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "import pandas as pd\n", + "import numpy as np\n", + "from sklearn.ensemble import RandomForestClassifier\n", + "from sklearn.decomposition import PCA\n", + "from sklearn.pipeline import make_pipeline\n", + "from sklearn.cross_validation import cross_val_score\n", + "\n", + "hill_valley_noisy_data = pd.read_csv('https://raw.githubusercontent.com/rhiever/Data-Analysis-and-Machine-Learning-Projects/master/tpot-demo/Hill_Valley_with_noise.csv.gz', sep='\\t', compression='gzip')\n", + "hill_valley_noisy_data.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "''" + ] + }, + "execution_count": 10, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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ftw90Y7J5+MO3lk87FEZ0/nzhJosViT5vdGYnz73fysalqeSlnvrCl8dqBDCe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4vfP1dPc6+ZMI0Sk83D0JiDxfOTZv3dRFHkme2d7KgdZsTkIjxURW5q1NR2Ob3873N1DBudqJXy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cross_val_score(RandomForestClassifier(n_estimators=100, n_jobs=-1),\n", + " X=hill_valley_noisy_data.drop('class', axis=1).values,\n", + " y=hill_valley_noisy_data.loc[:, 'class'].values,\n", + " cv=10)\n", + "\n", + "print(cv_scores)\n", + "print(np.mean(cv_scores))" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[ 0.95901639 0.98360656 0.87704918 0.98360656 0.92622951 0.93442623\n", + " 0.90833333 0.925 0.95833333 0.96666667]\n", + "0.942226775956\n" + ] + } + ], + "source": [ + "cv_scores = cross_val_score(make_pipeline(PCA(n_components=10), RandomForestClassifier(n_estimators=100, n_jobs=-1)),\n", + " X=hill_valley_noisy_data.drop('class', axis=1).values,\n", + " y=hill_valley_noisy_data.loc[:, 'class'].values,\n", + " cv=10)\n", + "\n", + "print(cv_scores)\n", + "print(np.mean(cv_scores))" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Automating data science with TPOT" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/html": [ + "
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" + ], + "text/plain": [ + " X1 X2 X3 X4 X5 X6 X7 \\\n", + "0 39.02 36.49 38.20 38.85 39.38 39.74 37.02 \n", + "1 1.83 1.71 1.77 1.77 1.68 1.78 1.80 \n", + "2 68177.69 66138.42 72981.88 74304.33 67549.66 69367.34 69169.41 \n", + "3 44889.06 39191.86 40728.46 38576.36 45876.06 47034.00 46611.43 \n", + "4 5.70 5.40 5.28 5.38 5.27 5.61 6.00 \n", + "\n", + " X8 X9 X10 ... 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Current best internal CV score: 0.9472727662812096\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "GP Progress: 18%|█▊ | 201/1100 [07:15<50:37, 3.38s/pipeline] " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Generation 2 - Current best internal CV score: 0.9495601844270386\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "GP Progress: 27%|██▋ | 301/1100 [08:12<04:03, 3.29pipeline/s]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Generation 3 - Current best internal CV score: 0.9495601844270386\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "GP Progress: 36%|███▋ | 401/1100 [09:28<05:49, 2.00pipeline/s]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Generation 4 - Current best internal CV score: 0.9495601844270386\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "GP Progress: 46%|████▌ | 501/1100 [12:45<21:05, 2.11s/pipeline]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Generation 5 - Current best internal CV score: 0.9495601844270386\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "GP Progress: 54%|█████▍ | 596/1100 [00:00<01:19, 6.31pipeline/s]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Generation 6 - Current best internal CV score: 0.950678752659701\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "GP Progress: 63%|██████▎ | 695/1100 [00:00<02:43, 2.47pipeline/s]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Generation 7 - Current best internal CV score: 0.9529158891250255\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "GP Progress: 73%|███████▎ | 801/1100 [16:28<01:18, 3.83pipeline/s]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Generation 8 - Current best internal CV score: 0.9529158891250255\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "GP Progress: 80%|████████ | 884/1100 [00:00<02:46, 1.30pipeline/s]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Generation 9 - Current best internal CV score: 0.9529158891250255\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "GP Progress: 91%|█████████ | 1001/1100 [19:09<00:31, 3.17pipeline/s]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Generation 10 - Current best internal CV score: 0.9529158891250255\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "Best pipeline: LogisticRegression(input_matrix, 0.57999999999999996, 25, False)\n", + "0.983631993007\n" + ] + } + ], + "source": [ + "X = hill_valley_noisy_data.drop('class', axis=1).values\n", + "y = hill_valley_noisy_data.loc[:, 'class'].values\n", + "\n", + "X_train, X_test, y_train, y_test = train_test_split(X, y, train_size=0.75, test_size=0.25)\n", + "\n", + "my_tpot = TPOTClassifier(generations=10, verbosity=2)\n", + "my_tpot.fit(X_train, y_train)\n", + "print(my_tpot.score(X_test, y_test))" + ] + } + ], + "metadata": { + "anaconda-cloud": {}, + "kernelspec": { + "display_name": "Python [default]", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.5.2" + } + }, + "nbformat": 4, + "nbformat_minor": 0 +} diff --git a/tpot-demo/mnist.csv.gz b/tpot-demo/mnist.csv.gz new file mode 100644 index 0000000..10214e7 Binary files /dev/null and b/tpot-demo/mnist.csv.gz differ diff --git a/traveling-salesman-portrait/traveling-salesman-portrait.py b/traveling-salesman-portrait/traveling-salesman-portrait.py new file mode 100644 index 0000000..14f86cc --- /dev/null +++ b/traveling-salesman-portrait/traveling-salesman-portrait.py @@ -0,0 +1,49 @@ +''' +This is a script written by Randal S. Olson (randalolson.com) for the Traveling Salesman Portrait project. + +More information on the project can be found on my blog: + +http://www.randalolson.com/2018/04/11/traveling-salesman-portrait-in-python/ + +Please check my project repository for information on how this script can be used and shared: + +https://github.com/rhiever/Data-Analysis-and-Machine-Learning-Projects +''' + +import os +import math +import matplotlib.pyplot as plt +import numpy as np +import urllib.request +from PIL import Image +from tsp_solver.greedy_numpy import solve_tsp +from scipy.spatial.distance import pdist, squareform + +image_url = 'http://www.randalolson.com/wp-content/uploads/Frankenstein.jpg' +image_path = 'Frankenstein.jpg' + +if not os.path.exists(image_path): + urllib.request.urlretrieve(image_url, image_path) + +original_image = Image.open(image_path) +bw_image = original_image.convert('1', dither=Image.NONE) + +bw_image_array = np.array(bw_image, dtype=np.int) +black_indices = np.argwhere(bw_image_array == 0) +chosen_black_indices = black_indices[np.random.choice(black_indices.shape[0], replace=False, size=10000)] + +distances = pdist(chosen_black_indices) +distance_matrix = squareform(distances) + +optimized_path = solve_tsp(distance_matrix) + +optimized_path_points = [chosen_black_indices[x] for x in optimized_path] + +plt.figure(figsize=(8, 10), dpi=100) +plt.plot([x[1] for x in optimized_path_points], [x[0] for x in optimized_path_points], color='black', lw=1) +plt.xlim(0, 600) +plt.ylim(0, 800) +plt.gca().invert_yaxis() +plt.xticks([]) +plt.yticks([]) +plt.savefig('traveling-salesman-portrait.png', bbox_inches='tight') diff --git a/us-weather-history/KSAF.csv b/us-weather-history/KSAF.csv new file mode 100644 index 0000000..497b87c --- /dev/null +++ b/us-weather-history/KSAF.csv @@ -0,0 +1,240 @@ 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'html.parser') - weather_data = soup.find(id='historyTable').find_all('span', class_='wx-value') + weather_data_rows = soup.find(id='historyTable').find_all('tr') + weather_data = [] + for i in range(len(weather_data_rows)): + soup1 = weather_data_rows[i] + weather_data.append(soup1.find_all('span', class_='wx-value')) + weather_data = [x for x in weather_data if x != []] + + if len(weather_data[4]) < 2: + weather_data[4].append(None) + weather_data[4].append(None) + + weather_data_units = soup.find(id='historyTable').find_all('td') + try: - actual_mean_temp = weather_data[0].text - actual_max_temp = weather_data[2].text - average_max_temp = weather_data[3].text - record_max_temp = weather_data[4].text - actual_min_temp = weather_data[5].text - average_min_temp = weather_data[6].text - record_min_temp = weather_data[7].text + actual_mean_temp = weather_data[0][0].text + actual_max_temp = weather_data[1][0].text + average_max_temp = weather_data[1][1].text + if weather_data[1][2]: + record_max_temp = weather_data[1][2].text + actual_min_temp = weather_data[2][0].text + average_min_temp = weather_data[2][1].text + record_min_temp = weather_data[2][2].text record_max_temp_year = weather_data_units[ 9].text.split('(')[-1].strip(')') record_min_temp_year = weather_data_units[ 13].text.split('(')[-1].strip(')') - actual_precipitation = weather_data[9].text + actual_precipitation = weather_data[4][0].text if actual_precipitation == 'T': - actual_precipitation = '0.0' - average_precipitation = weather_data[10].text - record_precipitation = weather_data[11].text + actual_precipitation = '0.0' + + #Test whether station collects average or record precipitation data + if weather_data[4][1]: + average_precipitation = weather_data[4][1].text + else: + average_precipitation = None + if weather_data[4][2]: + record_precipitation = weather_data[4][2].text + else: + record_precipitation = None # Verify that the parsed data is valid if (record_max_temp_year == '-1' or record_min_temp_year == '-1' or int(record_max_temp) < max(int(actual_max_temp), int(average_max_temp)) or int(record_min_temp) > min(int(actual_min_temp), int(average_min_temp)) or - float(actual_precipitation) > float(record_precipitation) or - float(average_precipitation) > float(record_precipitation)): + ((record_precipitation is not None or average_precipitation is not None) and + (float(actual_precipitation) > float(record_precipitation) or + float(average_precipitation) > float(record_precipitation)))): raise Exception out_file.write('{}-{}-{},'.format(current_date.year, current_date.month, current_date.day)) @@ -68,10 +90,15 @@ def parse_station(station): average_min_temp, average_max_temp, record_min_temp, record_max_temp, record_min_temp_year, record_max_temp_year, - actual_precipitation, average_precipitation, - record_precipitation])) + actual_precipitation,])) + if average_precipitation: + out_file.write(',{}'.format(average_precipitation)) + if record_precipitation: + out_file.write(',{}'.format(record_precipitation)) + out_file.write('\n') current_date += timedelta(days=1) + except: # If the web page is formatted improperly, signal that the page may need # to be downloaded again. @@ -105,5 +132,5 @@ def parse_station(station): # Parse the stations used in this article for station in ['KCLT', 'KCQT', 'KHOU', 'KIND', 'KJAX', - 'KMDW', 'KNYC', 'KPHL', 'KPHX', 'KSEA']: + 'KMDW', 'KNYC', 'KPHL', 'KPHX', 'KSEA', 'KSAF']: parse_station(station) diff --git a/wheres-waldo-path-optimization/Where's Waldo path optimization.ipynb b/wheres-waldo-path-optimization/Where's Waldo path optimization.ipynb index 45186d0..3cf3355 100644 --- a/wheres-waldo-path-optimization/Where's Waldo path optimization.ipynb +++ b/wheres-waldo-path-optimization/Where's Waldo path optimization.ipynb @@ -13,7 +13,7 @@ "source": [ "This notebook provides the methodology and code used in the blog post, [Here’s Waldo: Computing the optimal search strategy for finding Waldo](http://www.randalolson.com/2015/02/03/heres-waldo-computing-the-optimal-search-strategy-for-finding-waldo/).\n", "\n", - "###Notebook by [Randal S. Olson](http://www.randalolson.com/)\n", + "### Notebook by [Randal S. Olson](http://www.randalolson.com/)\n", "\n", "Please see the [repository README file](https://github.com/rhiever/Data-Analysis-and-Machine-Learning-Projects#license) for the licenses and usage terms for the instructional material and code in this notebook. In general, I have licensed this material so that it is widely useable and shareable as possible." ] @@ -35,9 +35,7 @@ { "cell_type": "code", "execution_count": 2, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -132,6 +130,7 @@ } ], "source": [ + "from __future__ import print_function\n", "%matplotlib inline\n", "import matplotlib.pyplot as plt\n", "import numpy as np\n", @@ -166,9 +165,7 @@ { "cell_type": "code", "execution_count": 2, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -225,9 +222,7 @@ { "cell_type": "code", "execution_count": 3, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -295,9 +290,7 @@ { "cell_type": "code", "execution_count": 4, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [], "source": [ "waldo_location_map = {}\n", @@ -317,9 +310,7 @@ { "cell_type": "code", "execution_count": 5, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [], "source": [ "def calculate_distance(x1, y1, x2, y2):\n", @@ -429,8 +420,13 @@ "def run_genetic_algorithm(generations=10000, population_size=100):\n", " \"\"\"\n", " The core of the Genetic Algorithm.\n", + " \n", + " `generations` and `population_size` must be a multiple of 10.\n", " \"\"\"\n", " \n", + " population_subset_size = int(population_size / 10.)\n", + " generations_10pct = int(generations / 10.)\n", + " \n", " # Create a random population of `population_size` number of solutions.\n", " population = generate_random_population(population_size)\n", "\n", @@ -446,15 +442,17 @@ "\n", " population_fitness[agent_genome] = compute_fitness(agent_genome)\n", "\n", - " # Take the 10 shortest Waldo-seeking paths and produce 10 offspring each from them\n", + " # Take the top 10% shortest paths and produce offspring from each of them\n", " new_population = []\n", - " for rank, agent_genome in enumerate(sorted(population_fitness, key=population_fitness.get)[:10]):\n", - " if (generation % 1000 == 0 or generation == 9999) and rank == 0:\n", - " print \"Generation %d best: %f\" % (generation, population_fitness[agent_genome])\n", - " print agent_genome\n", + " for rank, agent_genome in enumerate(sorted(population_fitness,\n", + " key=population_fitness.get)[:population_subset_size]):\n", + "\n", + " if (generation % generations_10pct == 0 or generation == (generations - 1)) and rank == 0:\n", + " print(\"Generation %d best: %f\" % (generation, population_fitness[agent_genome]))\n", + " print(agent_genome)\n", " plot_trajectory(agent_genome)\n", "\n", - " # Create 1 exact copy of each top 10 Waldo-seeking path\n", + " # Create 1 exact copy of each top path\n", " new_population.append(agent_genome)\n", "\n", " # Create 4 offspring with 1-3 mutations\n", @@ -475,9 +473,7 @@ { "cell_type": "code", "execution_count": 6, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "name": "stdout", @@ -721,9 +717,9 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.4.3" + "version": "3.6.5" } }, "nbformat": 4, - "nbformat_minor": 0 + "nbformat_minor": 1 }