diff --git a/Becky Christiansen - PSW - Guided Capstone..pptx.pdf b/Becky Christiansen - PSW - Guided Capstone..pptx.pdf new file mode 100644 index 000000000..8cc9ebf85 Binary files /dev/null and b/Becky Christiansen - PSW - Guided Capstone..pptx.pdf differ diff --git a/Notebooks/02_data_wrangling.ipynb b/Notebooks/02_data_wrangling.ipynb index a52eb6c24..5807c8872 100644 --- a/Notebooks/02_data_wrangling.ipynb +++ b/Notebooks/02_data_wrangling.ipynb @@ -11,7 +11,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "## 2.1 Contents\n", + "## Contents\n", "* [2 Data wrangling](#2_Data_wrangling)\n", " * [2.1 Contents](#2.1_Contents)\n", " * [2.2 Introduction](#2.2_Introduction)\n", @@ -120,18 +120,26 @@ }, { "cell_type": "code", - "execution_count": null, - "metadata": {}, + "execution_count": 14, + "metadata": { + "scrolled": true + }, "outputs": [], "source": [ "#Code task 1#\n", "#Import pandas, matplotlib.pyplot, and seaborn in the correct lines below\n", - "import ___ as pd\n", - "import ___ as plt\n", - "import ___ as sns\n", + "import pandas as pd\n", + "import matplotlib.pyplot as plt\n", + "import seaborn as sns\n", "import os\n", - "\n", - "from library.sb_utils import save_file\n" + "from sb_utils import save_file\n" + ] + }, + { + "cell_type": "raw", + "metadata": {}, + "source": [ + "save_file" ] }, { @@ -162,7 +170,7 @@ }, { "cell_type": "code", - "execution_count": 2, + "execution_count": 18, "metadata": {}, "outputs": [], "source": [ @@ -179,13 +187,89 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 20, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 20, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "#Code task 2#\n", "#Call the info method on ski_data to see a summary of the data\n", - "ski_data.___" + "ski_data.info" ] }, { @@ -204,211 +288,10 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 23, "metadata": { "scrolled": true }, - "outputs": [], - "source": [ - "#Code task 3#\n", - "#Call the head method on ski_data to print the first several rows of the data\n", - "ski_data.___" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The output above suggests you've made a good start getting the ski resort data organized. You have plausible column headings. You can already see you have a missing value in the `fastEight` column" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## 2.6 Explore The Data" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### 2.6.1 Find Your Resort Of Interest" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Your resort of interest is called Big Mountain Resort. Check it's in the data:" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "#Code task 4#\n", - "#Filter the ski_data dataframe to display just the row for our resort with the name 'Big Mountain Resort'\n", - "#Hint: you will find that the transpose of the row will give a nicer output. DataFrame's do have a\n", - "#transpose method, but you can access this conveniently with the `T` property.\n", - "ski_data[ski_data.Name == ___].___" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "It's good that your resort doesn't appear to have any missing values." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### 2.6.2 Number Of Missing Values By Column" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Count the number of missing values in each column and sort them." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "#Code task 5#\n", - "#Count (using `.sum()`) the number of missing values (`.isnull()`) in each column of \n", - "#ski_data as well as the percentages (using `.mean()` instead of `.sum()`).\n", - "#Order them (increasing or decreasing) using sort_values\n", - "#Call `pd.concat` to present these in a single table (DataFrame) with the helpful column names 'count' and '%'\n", - "missing = ___([ski_data.___.___, 100 * ski_data.___.___], axis=1)\n", - "missing.columns=[___, ___]\n", - "missing.___(by=___)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "`fastEight` has the most missing values, at just over 50%. Unfortunately, you see you're also missing quite a few of your desired target quantity, the ticket price, which is missing 15-16% of values. `AdultWeekday` is missing in a few more records than `AdultWeekend`. What overlap is there in these missing values? This is a question you'll want to investigate. You should also point out that `isnull()` is not the only indicator of missing data. Sometimes 'missingness' can be encoded, perhaps by a -1 or 999. Such values are typically chosen because they are \"obviously\" not genuine values. If you were capturing data on people's heights and weights but missing someone's height, you could certainly encode that as a 0 because no one has a height of zero (in any units). Yet such entries would not be revealed by `isnull()`. Here, you need a data dictionary and/or to spot such values as part of looking for outliers. Someone with a height of zero should definitely show up as an outlier!" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### 2.6.3 Categorical Features" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "So far you've examined only the numeric features. Now you inspect categorical ones such as resort name and state. These are discrete entities. 'Alaska' is a name. Although names can be sorted alphabetically, it makes no sense to take the average of 'Alaska' and 'Arizona'. Similarly, 'Alaska' is before 'Arizona' only lexicographically; it is neither 'less than' nor 'greater than' 'Arizona'. As such, they tend to require different handling than strictly numeric quantities. Note, a feature _can_ be numeric but also categorical. For example, instead of giving the number of `fastEight` lifts, a feature might be `has_fastEights` and have the value 0 or 1 to denote absence or presence of such a lift. In such a case it would not make sense to take an average of this or perform other mathematical calculations on it. Although you digress a little to make a point, month numbers are also, strictly speaking, categorical features. Yes, when a month is represented by its number (1 for January, 2 for Februrary etc.) it provides a convenient way to graph trends over a year. And, arguably, there is some logical interpretation of the average of 1 and 3 (January and March) being 2 (February). However, clearly December of one years precedes January of the next and yet 12 as a number is not less than 1. The numeric quantities in the section above are truly numeric; they are the number of feet in the drop, or acres or years open or the amount of snowfall etc." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "#Code task 6#\n", - "#Use ski_data's `select_dtypes` method to select columns of dtype 'object'\n", - "ski_data.___(___)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "You saw earlier on that these three columns had no missing values. But are there any other issues with these columns? Sensible questions to ask here include:\n", - "\n", - "* Is `Name` (or at least a combination of Name/Region/State) unique?\n", - "* Is `Region` always the same as `state`?" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "#### 2.6.3.1 Unique Resort Names" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "#Code task 7#\n", - "#Use pandas' Series method `value_counts` to find any duplicated resort names\n", - "ski_data['Name'].___.head()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "You have a duplicated resort name: Crystal Mountain." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Q: 1** Is this resort duplicated if you take into account Region and/or state as well?" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "#Code task 8#\n", - "#Concatenate the string columns 'Name' and 'Region' and count the values again (as above)\n", - "(ski_data[___] + ', ' + ski_data[___]).___.head()" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "#Code task 9#\n", - "#Concatenate 'Name' and 'state' and count the values again (as above)\n", - "(ski_data[___] + ', ' + ski_data[___]).___.head()" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "**NB** because you know `value_counts()` sorts descending, you can use the `head()` method and know the rest of the counts must be 1." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**A: 1** Your answer here" - ] - }, - { - "cell_type": "code", - "execution_count": 11, - "metadata": {}, "outputs": [ { "data": { @@ -456,409 +339,499 @@ " \n", " \n", " \n", - " 104\n", - " Crystal Mountain\n", - " Michigan\n", - " Michigan\n", - " 1132\n", - " 375\n", - " 757\n", - " 0\n", + " 0\n", + " Alyeska Resort\n", + " Alaska\n", + " Alaska\n", + " 3939\n", + " 2500\n", + " 250\n", + " 1\n", " 0.0\n", " 0\n", - " 1\n", + " 2\n", " ...\n", - " 0.3\n", - " 102.0\n", - " 96.0\n", - " 120.0\n", - " 63.0\n", - " 132.0\n", - " 54.0\n", - " 64.0\n", - " 135.0\n", - " 56.0\n", + " 1.0\n", + " 1610.0\n", + " 113.0\n", + " 150.0\n", + " 60.0\n", + " 669.0\n", + " 65.0\n", + " 85.0\n", + " 150.0\n", + " 550.0\n", " \n", " \n", - " 295\n", - " Crystal Mountain\n", - " Washington\n", - " Washington\n", - " 7012\n", - " 3100\n", - " 4400\n", - " 1\n", - " NaN\n", - " 2\n", - " 2\n", + " 1\n", + " Eaglecrest Ski Area\n", + " Alaska\n", + " Alaska\n", + " 2600\n", + " 1540\n", + " 1200\n", + " 0\n", + " 0.0\n", + " 0\n", + " 0\n", " ...\n", - " 2.5\n", - " 2600.0\n", - " 10.0\n", + " 2.0\n", + " 640.0\n", + " 60.0\n", + " 45.0\n", + " 44.0\n", + " 350.0\n", + " 47.0\n", + " 53.0\n", + " 90.0\n", " NaN\n", - " 57.0\n", - " 486.0\n", - " 99.0\n", - " 99.0\n", + " \n", + " \n", + " 2\n", + " Hilltop Ski Area\n", + " Alaska\n", + " Alaska\n", + " 2090\n", + " 294\n", + " 1796\n", + " 0\n", + " 0.0\n", + " 0\n", + " 0\n", + " ...\n", + " 1.0\n", + " 30.0\n", + " 30.0\n", + " 150.0\n", + " 36.0\n", + " 69.0\n", + " 30.0\n", + " 34.0\n", + " 152.0\n", + " 30.0\n", + " \n", + " \n", + " 3\n", + " Arizona Snowbowl\n", + " Arizona\n", + " Arizona\n", + " 11500\n", + " 2300\n", + " 9200\n", + " 0\n", + " 0.0\n", + " 1\n", + " 0\n", + " ...\n", + " 2.0\n", + " 777.0\n", + " 104.0\n", + " 122.0\n", + " 81.0\n", + " 260.0\n", + " 89.0\n", + " 89.0\n", + " 122.0\n", " NaN\n", + " \n", + " \n", + " 4\n", + " Sunrise Park Resort\n", + " Arizona\n", + " Arizona\n", + " 11100\n", + " 1800\n", + " 9200\n", + " 0\n", " NaN\n", + " 0\n", + " 1\n", + " ...\n", + " 1.2\n", + " 800.0\n", + " 80.0\n", + " 115.0\n", + " 49.0\n", + " 250.0\n", + " 74.0\n", + " 78.0\n", + " 104.0\n", + " 80.0\n", " \n", " \n", "\n", - "

2 rows × 27 columns

\n", + "

5 rows × 27 columns

\n", "" ], "text/plain": [ - " Name Region state summit_elev vertical_drop \\\n", - "104 Crystal Mountain Michigan Michigan 1132 375 \n", - "295 Crystal Mountain Washington Washington 7012 3100 \n", + " Name Region state summit_elev vertical_drop \\\n", + "0 Alyeska Resort Alaska Alaska 3939 2500 \n", + "1 Eaglecrest Ski Area Alaska Alaska 2600 1540 \n", + "2 Hilltop Ski Area Alaska Alaska 2090 294 \n", + "3 Arizona Snowbowl Arizona Arizona 11500 2300 \n", + "4 Sunrise Park Resort Arizona Arizona 11100 1800 \n", "\n", - " base_elev trams fastEight fastSixes fastQuads ... LongestRun_mi \\\n", - "104 757 0 0.0 0 1 ... 0.3 \n", - "295 4400 1 NaN 2 2 ... 2.5 \n", + " base_elev trams fastEight fastSixes fastQuads ... LongestRun_mi \\\n", + "0 250 1 0.0 0 2 ... 1.0 \n", + "1 1200 0 0.0 0 0 ... 2.0 \n", + "2 1796 0 0.0 0 0 ... 1.0 \n", + "3 9200 0 0.0 1 0 ... 2.0 \n", + "4 9200 0 NaN 0 1 ... 1.2 \n", "\n", - " SkiableTerrain_ac Snow Making_ac daysOpenLastYear yearsOpen \\\n", - "104 102.0 96.0 120.0 63.0 \n", - "295 2600.0 10.0 NaN 57.0 \n", + " SkiableTerrain_ac Snow Making_ac daysOpenLastYear yearsOpen \\\n", + "0 1610.0 113.0 150.0 60.0 \n", + "1 640.0 60.0 45.0 44.0 \n", + "2 30.0 30.0 150.0 36.0 \n", + "3 777.0 104.0 122.0 81.0 \n", + "4 800.0 80.0 115.0 49.0 \n", "\n", - " averageSnowfall AdultWeekday AdultWeekend projectedDaysOpen \\\n", - "104 132.0 54.0 64.0 135.0 \n", - "295 486.0 99.0 99.0 NaN \n", + " averageSnowfall AdultWeekday AdultWeekend projectedDaysOpen \\\n", + "0 669.0 65.0 85.0 150.0 \n", + "1 350.0 47.0 53.0 90.0 \n", + "2 69.0 30.0 34.0 152.0 \n", + "3 260.0 89.0 89.0 122.0 \n", + "4 250.0 74.0 78.0 104.0 \n", "\n", - " NightSkiing_ac \n", - "104 56.0 \n", - "295 NaN \n", + " NightSkiing_ac \n", + "0 550.0 \n", + "1 NaN \n", + "2 30.0 \n", + "3 NaN \n", + "4 80.0 \n", "\n", - "[2 rows x 27 columns]" + "[5 rows x 27 columns]" ] }, - "execution_count": 11, + "execution_count": 23, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "ski_data[ski_data['Name'] == 'Crystal Mountain']" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "So there are two Crystal Mountain resorts, but they are clearly two different resorts in two different states. This is a powerful signal that you have unique records on each row." + "#Code task 3#\n", + "#Call the head method on ski_data to print the first several rows of the data\n", + "ski_data.head()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "#### 2.6.3.2 Region And State" + "The output above suggests you've made a good start getting the ski resort data organized. You have plausible column headings. You can already see you have a missing value in the `fastEight` column" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "What's the relationship between region and state?" + "## 2.6 Explore The Data" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "You know they are the same in many cases (e.g. both the Region and the state are given as 'Michigan'). In how many cases do they differ?" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "#Code task 10#\n", - "#Calculate the number of times Region does not equal state\n", - "(ski_data.Region ___ ski_data.state).___" + "### 2.6.1 Find Your Resort Of Interest" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "You know what a state is. What is a region? You can tabulate the distinct values along with their respective frequencies using `value_counts()`." + "Your resort of interest is called Big Mountain Resort. Check it's in the data:" ] }, { "cell_type": "code", - "execution_count": 13, + "execution_count": 28, "metadata": {}, "outputs": [ { "data": { + "text/html": [ + "
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151
NameBig Mountain Resort
RegionMontana
stateMontana
summit_elev6817
vertical_drop2353
base_elev4464
trams0
fastEight0.0
fastSixes0
fastQuads3
quad2
triple6
double0
surface3
total_chairs14
Runs105.0
TerrainParks4.0
LongestRun_mi3.3
SkiableTerrain_ac3000.0
Snow Making_ac600.0
daysOpenLastYear123.0
yearsOpen72.0
averageSnowfall333.0
AdultWeekday81.0
AdultWeekend81.0
projectedDaysOpen123.0
NightSkiing_ac600.0
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" + ], "text/plain": [ - "New York 33\n", - "Michigan 29\n", - "Sierra Nevada 22\n", - "Colorado 22\n", - "Pennsylvania 19\n", - "Wisconsin 16\n", - "New Hampshire 16\n", - "Vermont 15\n", - "Minnesota 14\n", - "Montana 12\n", - "Idaho 12\n", - "Massachusetts 11\n", - "Washington 10\n", - "Maine 9\n", - "New Mexico 9\n", - "Wyoming 8\n", - "Utah 7\n", - "Oregon 6\n", - "Salt Lake City 6\n", - "North Carolina 6\n", - "Connecticut 5\n", - "Ohio 5\n", - "West Virginia 4\n", - "Virginia 4\n", - "Mt. Hood 4\n", - "Illinois 4\n", - "Alaska 3\n", - "Iowa 3\n", - "Missouri 2\n", - "Arizona 2\n", - "Indiana 2\n", - "South Dakota 2\n", - "New Jersey 2\n", - "Nevada 2\n", - "Rhode Island 1\n", - "Maryland 1\n", - "Tennessee 1\n", - "Northern California 1\n", - "Name: Region, dtype: int64" + " 151\n", + "Name Big Mountain Resort\n", + "Region Montana\n", + "state Montana\n", + "summit_elev 6817\n", + "vertical_drop 2353\n", + "base_elev 4464\n", + "trams 0\n", + "fastEight 0.0\n", + "fastSixes 0\n", + "fastQuads 3\n", + "quad 2\n", + "triple 6\n", + "double 0\n", + "surface 3\n", + "total_chairs 14\n", + "Runs 105.0\n", + "TerrainParks 4.0\n", + "LongestRun_mi 3.3\n", + "SkiableTerrain_ac 3000.0\n", + "Snow Making_ac 600.0\n", + "daysOpenLastYear 123.0\n", + "yearsOpen 72.0\n", + "averageSnowfall 333.0\n", + "AdultWeekday 81.0\n", + "AdultWeekend 81.0\n", + "projectedDaysOpen 123.0\n", + "NightSkiing_ac 600.0" ] }, - "execution_count": 13, + "execution_count": 28, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "ski_data['Region'].value_counts()" + "#Code task 4#\n", + "#Filter the ski_data dataframe to display just the row for our resort with the name 'Big Mountain Resort'\n", + "#Hint: you will find that the transpose of the row will give a nicer output. DataFrame's do have a\n", + "#transpose method, but you can access this conveniently with the `T` property.\n", + "ski_data[ski_data.Name == 'Big Mountain Resort'].T" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "A casual inspection by eye reveals some non-state names such as Sierra Nevada, Salt Lake City, and Northern California. Tabulate the differences between Region and state. On a note regarding scaling to larger data sets, you might wonder how you could spot such cases when presented with millions of rows. This is an interesting point. Imagine you have access to a database with a Region and state column in a table and there are millions of rows. You wouldn't eyeball all the rows looking for differences! Bear in mind that our first interest lies in establishing the answer to the question \"Are they always the same?\" One approach might be to ask the database to return records where they differ, but limit the output to 10 rows. If there were differences, you'd only get up to 10 results, and so you wouldn't know whether you'd located all differences, but you'd know that there were 'a nonzero number' of differences. If you got an empty result set back, then you would know that the two columns always had the same value. At the risk of digressing, some values in one column only might be NULL (missing) and different databases treat NULL differently, so be aware that on many an occasion a seamingly 'simple' question gets very interesting to answer very quickly!" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "#Code task 11#\n", - "#Filter the ski_data dataframe for rows where 'Region' and 'state' are different,\n", - "#group that by 'state' and perform `value_counts` on the 'Region'\n", - "(ski_data[ski_data.___ ___ ski_data.___]\n", - " .groupby(___)[___]\n", - " .value_counts())" + "It's good that your resort doesn't appear to have any missing values." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "The vast majority of the differences are in California, with most Regions being called Sierra Nevada and just one referred to as Northern California." + "### 2.6.2 Number Of Missing Values By Column" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "#### 2.6.3.3 Number of distinct regions and states" + "Count the number of missing values in each column and sort them." ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 32, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " count %\n", + "Name 0 0.000000\n", + "total_chairs 0 0.000000\n", + "double 0 0.000000\n", + "triple 0 0.000000\n", + "quad 0 0.000000\n", + "fastQuads 0 0.000000\n", + "fastSixes 0 0.000000\n", + "surface 0 0.000000\n", + "trams 0 0.000000\n", + "base_elev 0 0.000000\n", + "vertical_drop 0 0.000000\n", + "summit_elev 0 0.000000\n", + "state 0 0.000000\n", + "Region 0 0.000000\n", + "yearsOpen 1 0.303030\n", + "SkiableTerrain_ac 3 0.909091\n", + "Runs 4 1.212121\n", + "LongestRun_mi 5 1.515152\n", + "averageSnowfall 14 4.242424\n", + "Snow Making_ac 46 13.939394\n", + "projectedDaysOpen 47 14.242424\n", + "TerrainParks 51 15.454545\n", + "daysOpenLastYear 51 15.454545\n", + "AdultWeekend 51 15.454545\n", + "AdultWeekday 54 16.363636\n", + "NightSkiing_ac 143 43.333333\n", + "fastEight 166 50.303030\n" + ] + } + ], "source": [ - "#Code task 12#\n", - "#Select the 'Region' and 'state' columns from ski_data and use the `nunique` method to calculate\n", - "#the number of unique values in each\n", - "ski_data[[___, ___]].___" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Because a few states are split across multiple named regions, there are slightly more unique regions than states." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "#### 2.6.3.4 Distribution Of Resorts By Region And State" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "If this is your first time using [matplotlib](https://matplotlib.org/3.2.2/index.html)'s [subplots](https://matplotlib.org/3.2.2/api/_as_gen/matplotlib.pyplot.subplots.html), you may find the online documentation useful." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "#Code task 13#\n", - "#Create two subplots on 1 row and 2 columns with a figsize of (12, 8)\n", - "fig, ax = plt.subplots(___, ___, figsize=(___))\n", - "#Specify a horizontal barplot ('barh') as kind of plot (kind=)\n", - "ski_data.Region.value_counts().plot(kind=___, ax=ax[0])\n", - "#Give the plot a helpful title of 'Region'\n", - "ax[0].set_title(___)\n", - "#Label the xaxis 'Count'\n", - "ax[0].set_xlabel(___)\n", - "#Specify a horizontal barplot ('barh') as kind of plot (kind=)\n", - "ski_data.state.value_counts().plot(kind=___, ax=ax[1])\n", - "#Give the plot a helpful title of 'state'\n", - "ax[1].set_title(___)\n", - "#Label the xaxis 'Count'\n", - "ax[1].set_xlabel(___)\n", - "#Give the subplots a little \"breathing room\" with a wspace of 0.5\n", - "plt.subplots_adjust(wspace=___);\n", - "#You're encouraged to explore a few different figure sizes, orientations, and spacing here\n", - "# as the importance of easy-to-read and informative figures is frequently understated\n", - "# and you will find the ability to tweak figures invaluable later on" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "How's your geography? Looking at the distribution of States, you see New York accounting for the majority of resorts. Our target resort is in Montana, which comes in at 13th place. You should think carefully about how, or whether, you use this information. Does New York command a premium because of its proximity to population? Even if a resort's State were a useful predictor of ticket price, your main interest lies in Montana. Would you want a model that is skewed for accuracy by New York? Should you just filter for Montana and create a Montana-specific model? This would slash your available data volume. Your problem task includes the contextual insight that the data are for resorts all belonging to the same market share. This suggests one might expect prices to be similar amongst them. You can look into this. A boxplot grouped by State is an ideal way to quickly compare prices. Another side note worth bringing up here is that, in reality, the best approach here definitely would include consulting with the client or other domain expert. They might know of good reasons for treating states equivalently or differently. The data scientist is rarely the final arbiter of such a decision. But here, you'll see if we can find any supporting evidence for treating states the same or differently." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "#### 2.6.3.5 Distribution Of Ticket Price By State" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Our primary focus is our Big Mountain resort, in Montana. Does the state give you any clues to help decide what your primary target response feature should be (weekend or weekday ticket prices)?" + "#Code task 5#\n", + "#Count (using `.sum()`) the number of missing values (`.isnull()`) in each column of \n", + "#ski_data as well as the percentages (using `.mean()` instead of `.sum()`).\n", + "#Order them (increasing or decreasing) using sort_values\n", + "#Call `pd.concat` to present these in a single table (DataFrame) with the helpful column names 'count' and '%'\n", + "\n", + "#I wanted to try it my own way before just filing in the blanks\n", + "\n", + "#missing_example = pd.concat([ski_data.isnull().sum(), 100*ski_data.isnull().mean()], axis=1)\n", + "#missing_example.columns=['count','%']\n", + "#print(missing_example.sort_values(by='%'))\n", + "\n", + "\n", + "missing_count = ski_data.isnull().sum()\n", + "missing_percentage = ski_data.isnull().mean()*100\n", + "missing = pd.DataFrame({'count': missing_count, '%': missing_percentage})\n", + "print(missing.sort_values(by=['%']))" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "##### 2.6.3.5.1 Average weekend and weekday price by state" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "#Code task 14#\n", - "# Calculate average weekday and weekend price by state and sort by the average of the two\n", - "# Hint: use the pattern dataframe.groupby()[].mean()\n", - "state_price_means = ski_data.___(___)[[___, ___]].mean()\n", - "state_price_means.head()" - ] - }, - { - "cell_type": "code", - "execution_count": 18, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "# The next bit simply reorders the index by increasing average of weekday and weekend prices\n", - "# Compare the index order you get from\n", - "# state_price_means.index\n", - "# with\n", - "# state_price_means.mean(axis=1).sort_values(ascending=False).index\n", - "# See how this expression simply sits within the reindex()\n", - "(state_price_means.reindex(index=state_price_means.mean(axis=1)\n", - " .sort_values(ascending=False)\n", - " .index)\n", - " .plot(kind='barh', figsize=(10, 10), title='Average ticket price by State'))\n", - "plt.xlabel('Price ($)');" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "The figure above represents a dataframe with two columns, one for the average prices of each kind of ticket. This tells you how the average ticket price varies from state to state. But can you get more insight into the difference in the distributions between states?" + "`fastEight` has the most missing values, at just over 50%. Unfortunately, you see you're also missing quite a few of your desired target quantity, the ticket price, which is missing 15-16% of values. `AdultWeekday` is missing in a few more records than `AdultWeekend`. What overlap is there in these missing values? This is a question you'll want to investigate. You should also point out that `isnull()` is not the only indicator of missing data. Sometimes 'missingness' can be encoded, perhaps by a -1 or 999. Such values are typically chosen because they are \"obviously\" not genuine values. If you were capturing data on people's heights and weights but missing someone's height, you could certainly encode that as a 0 because no one has a height of zero (in any units). Yet such entries would not be revealed by `isnull()`. Here, you need a data dictionary and/or to spot such values as part of looking for outliers. Someone with a height of zero should definitely show up as an outlier!" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "##### 2.6.3.5.2 Distribution of weekday and weekend price by state" + "### 2.6.3 Categorical Features" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "Next, you can transform the data into a single column for price with a new categorical column that represents the ticket type." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "#Code task 15#\n", - "#Use the pd.melt function, pass in the ski_data columns 'state', 'AdultWeekday', and 'Adultweekend' only,\n", - "#specify 'state' for `id_vars`\n", - "#gather the ticket prices from the 'Adultweekday' and 'AdultWeekend' columns using the `value_vars` argument,\n", - "#call the resultant price column 'Price' via the `value_name` argument,\n", - "#name the weekday/weekend indicator column 'Ticket' via the `var_name` argument\n", - "ticket_prices = pd.melt(ski_data[[___, ___, ___]], \n", - " id_vars=___, \n", - " var_name=___, \n", - " value_vars=[___, ___], \n", - " value_name=___)" + "So far you've examined only the numeric features. Now you inspect categorical ones such as resort name and state. These are discrete entities. 'Alaska' is a name. Although names can be sorted alphabetically, it makes no sense to take the average of 'Alaska' and 'Arizona'. Similarly, 'Alaska' is before 'Arizona' only lexicographically; it is neither 'less than' nor 'greater than' 'Arizona'. As such, they tend to require different handling than strictly numeric quantities. Note, a feature _can_ be numeric but also categorical. For example, instead of giving the number of `fastEight` lifts, a feature might be `has_fastEights` and have the value 0 or 1 to denote absence or presence of such a lift. In such a case it would not make sense to take an average of this or perform other mathematical calculations on it. Although you digress a little to make a point, month numbers are also, strictly speaking, categorical features. Yes, when a month is represented by its number (1 for January, 2 for Februrary etc.) it provides a convenient way to graph trends over a year. And, arguably, there is some logical interpretation of the average of 1 and 3 (January and March) being 2 (February). However, clearly December of one years precedes January of the next and yet 12 as a number is not less than 1. The numeric quantities in the section above are truly numeric; they are the number of feet in the drop, or acres or years open or the amount of snowfall etc." ] }, { "cell_type": "code", - "execution_count": 20, + "execution_count": 36, "metadata": {}, "outputs": [ { @@ -882,271 +855,2211 @@ " \n", " \n", " \n", + " Name\n", + " Region\n", " state\n", - " Ticket\n", - " Price\n", " \n", " \n", " \n", " \n", " 0\n", + " Alyeska Resort\n", + " Alaska\n", " Alaska\n", - " AdultWeekday\n", - " 65.0\n", " \n", " \n", " 1\n", + " Eaglecrest Ski Area\n", + " Alaska\n", " Alaska\n", - " AdultWeekday\n", - " 47.0\n", " \n", " \n", " 2\n", + " Hilltop Ski Area\n", + " Alaska\n", " Alaska\n", - " AdultWeekday\n", - " 30.0\n", " \n", " \n", " 3\n", + " Arizona Snowbowl\n", + " Arizona\n", " Arizona\n", - " AdultWeekday\n", - " 89.0\n", " \n", " \n", " 4\n", + " Sunrise Park Resort\n", " Arizona\n", - " AdultWeekday\n", - " 74.0\n", + " Arizona\n", + " \n", + " \n", + " ...\n", + " ...\n", + " ...\n", + " ...\n", + " \n", + " \n", + " 325\n", + " Meadowlark Ski Lodge\n", + " Wyoming\n", + " Wyoming\n", + " \n", + " \n", + " 326\n", + " Sleeping Giant Ski Resort\n", + " Wyoming\n", + " Wyoming\n", + " \n", + " \n", + " 327\n", + " Snow King Resort\n", + " Wyoming\n", + " Wyoming\n", + " \n", + " \n", + " 328\n", + " Snowy Range Ski & Recreation Area\n", + " Wyoming\n", + " Wyoming\n", + " \n", + " \n", + " 329\n", + " White Pine Ski Area\n", + " Wyoming\n", + " Wyoming\n", " \n", " \n", "\n", + "

330 rows × 3 columns

\n", "" ], "text/plain": [ - " state Ticket Price\n", - "0 Alaska AdultWeekday 65.0\n", - "1 Alaska AdultWeekday 47.0\n", - "2 Alaska AdultWeekday 30.0\n", - "3 Arizona AdultWeekday 89.0\n", - "4 Arizona AdultWeekday 74.0" + " Name Region state\n", + "0 Alyeska Resort Alaska Alaska\n", + "1 Eaglecrest Ski Area Alaska Alaska\n", + "2 Hilltop Ski Area Alaska Alaska\n", + "3 Arizona Snowbowl Arizona Arizona\n", + "4 Sunrise Park Resort Arizona Arizona\n", + ".. ... ... ...\n", + "325 Meadowlark Ski Lodge Wyoming Wyoming\n", + "326 Sleeping Giant Ski Resort Wyoming Wyoming\n", + "327 Snow King Resort Wyoming Wyoming\n", + "328 Snowy Range Ski & Recreation Area Wyoming Wyoming\n", + "329 White Pine Ski Area Wyoming Wyoming\n", + "\n", + "[330 rows x 3 columns]" ] }, - "execution_count": 20, + "execution_count": 36, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "ticket_prices.head()" + "#Code task 6#\n", + "#Use ski_data's `select_dtypes` method to select columns of dtype 'object'\n", + "ski_data.select_dtypes(object)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "This is now in a format we can pass to [seaborn](https://seaborn.pydata.org/)'s [boxplot](https://seaborn.pydata.org/generated/seaborn.boxplot.html) function to create boxplots of the ticket price distributions for each ticket type for each state." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "#Code task 16#\n", - "#Create a seaborn boxplot of the ticket price dataframe we created above,\n", - "#with 'state' on the x-axis, 'Price' as the y-value, and a hue that indicates 'Ticket'\n", - "#This will use boxplot's x, y, hue, and data arguments.\n", - "plt.subplots(figsize=(12, 8))\n", - "sns.boxplot(x=___, y=___, hue=___, data=ticket_prices)\n", - "plt.xticks(rotation='vertical')\n", - "plt.ylabel('Price ($)')\n", - "plt.xlabel('State');" + "#### 2.6.3.1 Unique Resort Names" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "Aside from some relatively expensive ticket prices in California, Colorado, and Utah, most prices appear to lie in a broad band from around 25 to over 100 dollars. Some States show more variability than others. Montana and South Dakota, for example, both show fairly small variability as well as matching weekend and weekday ticket prices. Nevada and Utah, on the other hand, show the most range in prices. Some States, notably North Carolina and Virginia, have weekend prices far higher than weekday prices. You could be inspired from this exploration to consider a few potential groupings of resorts, those with low spread, those with lower averages, and those that charge a premium for weekend tickets. However, you're told that you are taking all resorts to be part of the same market share, you could argue against further segment the resorts. Nevertheless, ways to consider using the State information in your modelling include:\n", - "\n", - "* disregard State completely\n", - "* retain all State information\n", - "* retain State in the form of Montana vs not Montana, as our target resort is in Montana\n", + "You saw earlier on that these three columns had no missing values. But are there any other issues with these columns? Sensible questions to ask here include:\n", "\n", - "You've also noted another effect above: some States show a marked difference between weekday and weekend ticket prices. It may make sense to allow a model to take into account not just State but also weekend vs weekday." + "* Is `Name` (or at least a combination of Name/Region/State) unique?\n", + "* Is `Region` always the same as `state`?" ] }, { - "cell_type": "markdown", + "cell_type": "code", + "execution_count": 39, "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Name\n", + "Crystal Mountain 2\n", + "Alyeska Resort 1\n", + "Brandywine 1\n", + "Boston Mills 1\n", + "Alpine Valley 1\n", + "Name: count, dtype: int64\n" + ] + } + ], "source": [ - "Thus we currently have two main questions you want to resolve:\n", - "\n", - "* What do you do about the two types of ticket price?\n", - "* What do you do about the state information?" + "#Code task 7#\n", + "#Use pandas' Series method `value_counts` to find any duplicated resort names\n", + "print(ski_data['Name'].value_counts().head())" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "### 2.6.4 Numeric Features" + "You have a duplicated resort name: Crystal Mountain." ] }, { - "cell_type": "code", - "execution_count": null, + "cell_type": "markdown", "metadata": {}, - "outputs": [], "source": [ - "Having decided to reserve judgement on how exactly you utilize the State, turn your attention to cleaning the numeric features." + "**Q: 1** Is this resort duplicated if you take into account Region and/or state as well?" ] }, { - "cell_type": "markdown", + "cell_type": "code", + "execution_count": 42, "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Alyeska Resort, Alaska 1\n", + "Snow Trails, Ohio 1\n", + "Brandywine, Ohio 1\n", + "Boston Mills, Ohio 1\n", + "Alpine Valley, Ohio 1\n", + "Name: count, dtype: int64" + ] + }, + "execution_count": 42, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ - "#### 2.6.4.1 Numeric data summary" + "#Code task 8#\n", + "#Concatenate the string columns 'Name' and 'Region' and count the values again (as above)\n", + "(ski_data['Name'] + ', ' + ski_data['Region']).value_counts().head()" ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 43, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "Alyeska Resort, Alaska 1\n", + "Snow Trails, Ohio 1\n", + "Brandywine, Ohio 1\n", + "Boston Mills, Ohio 1\n", + "Alpine Valley, Ohio 1\n", + "Name: count, dtype: int64" + ] + }, + "execution_count": 43, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ - "#Code task 17#\n", - "#Call ski_data's `describe` method for a statistical summary of the numerical columns\n", - "#Hint: there are fewer summary stat columns than features, so displaying the transpose\n", - "#will be useful again\n", - "ski_data.___.___" + "#Code task 9#\n", + "#Concatenate 'Name' and 'state' and count the values again (as above)\n", + "(ski_data['Name'] + ', ' + ski_data['state']).value_counts().head()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "Recall you're missing the ticket prices for some 16% of resorts. This is a fundamental problem that means you simply lack the required data for those resorts and will have to drop those records. But you may have a weekend price and not a weekday price, or vice versa. You want to keep any price you have." + "##**NB** because you know `value_counts()` sorts descending, you can use the `head()` method and know the rest of the counts must be 1." ] }, { "cell_type": "code", - "execution_count": 23, + "execution_count": 45, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "104 Crystal Mountain, Michigan, Michigan\n", + "295 Crystal Mountain, Washington, Washington\n", + "dtype: object\n" + ] + } + ], + "source": [ + "#I also wanted to find out what region and state Crystal Mountain were in.\n", + "print(ski_data.loc[ski_data['Name'] == 'Crystal Mountain', 'Name'] + ', '+ ski_data.loc[ski_data['Name'] == 'Crystal Mountain', 'Region'] + ', '+ ski_data.loc[ski_data['Name'] == 'Crystal Mountain', 'state'])" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "**A: 1** Your answer here\n", + "\n", + "**Becky's Answer:** Yes they are 2 unique resorts - One in Michigan and another in Washington" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "So there are two Crystal Mountain resorts, but they are clearly two different resorts in two different states. This is a powerful signal that you have unique records on each row." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### 2.6.3.2 Region And State" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "What's the relationship between region and state?" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "You know they are the same in many cases (e.g. both the Region and the state are given as 'Michigan'). In how many cases do they differ?" + ] + }, + { + "cell_type": "code", + "execution_count": 51, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "0 82.424242\n", - "2 14.242424\n", - "1 3.333333\n", - "dtype: float64" + "33" ] }, - "execution_count": 23, + "execution_count": 51, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "missing_price = ski_data[['AdultWeekend', 'AdultWeekday']].isnull().sum(axis=1)\n", - "missing_price.value_counts()/len(missing_price) * 100" + "#Code task 10#\n", + "#Calculate the number of times Region does not equal state\n", + "(ski_data.Region != ski_data.state).sum()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "Just over 82% of resorts have no missing ticket price, 3% are missing one value, and 14% are missing both. You will definitely want to drop the records for which you have no price information, however you will not do so just yet. There may still be useful information about the distributions of other features in that 14% of the data." + "**Becky's Answer:** There are 33 entries where the Region and state are different." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "#### 2.6.4.2 Distributions Of Feature Values" + "You know what a state is. What is a region? You can tabulate the distinct values along with their respective frequencies using `value_counts()`." + ] + }, + { + "cell_type": "code", + "execution_count": 54, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Region\n", + "New York 33\n", + "Michigan 29\n", + "Sierra Nevada 22\n", + "Colorado 22\n", + "Pennsylvania 19\n", + "Wisconsin 16\n", + "New Hampshire 16\n", + "Vermont 15\n", + "Minnesota 14\n", + "Idaho 12\n", + "Montana 12\n", + "Massachusetts 11\n", + "Washington 10\n", + "New Mexico 9\n", + "Maine 9\n", + "Wyoming 8\n", + "Utah 7\n", + "Salt Lake City 6\n", + "North Carolina 6\n", + "Oregon 6\n", + "Connecticut 5\n", + "Ohio 5\n", + "Virginia 4\n", + "West Virginia 4\n", + "Illinois 4\n", + "Mt. Hood 4\n", + "Alaska 3\n", + "Iowa 3\n", + "South Dakota 2\n", + "Arizona 2\n", + "Nevada 2\n", + "Missouri 2\n", + "Indiana 2\n", + "New Jersey 2\n", + "Rhode Island 1\n", + "Tennessee 1\n", + "Maryland 1\n", + "Northern California 1\n", + "Name: count, dtype: int64" + ] + }, + "execution_count": 54, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "ski_data['Region'].value_counts()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "Note that, although we are still in the 'data wrangling and cleaning' phase rather than exploratory data analysis, looking at distributions of features is immensely useful in getting a feel for whether the values look sensible and whether there are any obvious outliers to investigate. Some exploratory data analysis belongs here, and data wrangling will inevitably occur later on. It's more a matter of emphasis. Here, we're interesting in focusing on whether distributions look plausible or wrong. Later on, we're more interested in relationships and patterns." + "A casual inspection by eye reveals some non-state names such as Sierra Nevada, Salt Lake City, and Northern California. Tabulate the differences between Region and state. On a note regarding scaling to larger data sets, you might wonder how you could spot such cases when presented with millions of rows. This is an interesting point. Imagine you have access to a database with a Region and state column in a table and there are millions of rows. You wouldn't eyeball all the rows looking for differences! Bear in mind that our first interest lies in establishing the answer to the question \"Are they always the same?\" One approach might be to ask the database to return records where they differ, but limit the output to 10 rows. If there were differences, you'd only get up to 10 results, and so you wouldn't know whether you'd located all differences, but you'd know that there were 'a nonzero number' of differences. If you got an empty result set back, then you would know that the two columns always had the same value. At the risk of digressing, some values in one column only might be NULL (missing) and different databases treat NULL differently, so be aware that on many an occasion a seamingly 'simple' question gets very interesting to answer very quickly!" ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 56, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "state Region \n", + "California Sierra Nevada 20\n", + " Northern California 1\n", + "Nevada Sierra Nevada 2\n", + "Oregon Mt. Hood 4\n", + "Utah Salt Lake City 6\n", + "Name: count, dtype: int64" + ] + }, + "execution_count": 56, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ - "#Code task 18#\n", - "#Call ski_data's `hist` method to plot histograms of each of the numeric features\n", - "#Try passing it an argument figsize=(15,10)\n", - "#Try calling plt.subplots_adjust() with an argument hspace=0.5 to adjust the spacing\n", - "#It's important you create legible and easy-to-read plots\n", - "ski_data.___(___)\n", - "#plt.subplots_adjust(hspace=___);\n", - "#Hint: notice how the terminating ';' \"swallows\" some messy output and leads to a tidier notebook" + "#Code task 11#\n", + "#Filter the ski_data dataframe for rows where 'Region' and 'state' are different,\n", + "#group that by 'state' and perform `value_counts` on the 'Region'\n", + "(ski_data[ski_data.Region != ski_data.state]\n", + " .groupby('state')\n", + " ['Region'].value_counts())" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "What features do we have possible cause for concern about and why?\n", - "\n", - "* SkiableTerrain_ac because values are clustered down the low end,\n", - "* Snow Making_ac for the same reason,\n", - "* fastEight because all but one value is 0 so it has very little variance, and half the values are missing,\n", - "* fastSixes raises an amber flag; it has more variability, but still mostly 0,\n", - "* trams also may get an amber flag for the same reason,\n", - "* yearsOpen because most values are low but it has a maximum of 2019, which strongly suggests someone recorded calendar year rather than number of years." + "The vast majority of the differences are in California, with most Regions being called Sierra Nevada and just one referred to as Northern California." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "##### 2.6.4.2.1 SkiableTerrain_ac" + "#### 2.6.3.3 Number of distinct regions and states" ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 59, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "Region 38\n", + "state 35\n", + "dtype: int64" + ] + }, + "execution_count": 59, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ - "#Code task 19#\n", - "#Filter the 'SkiableTerrain_ac' column to print the values greater than 10000\n", - "ski_data.___[ski_data.___ > ___]" + "#Code task 12#\n", + "#Select the 'Region' and 'state' columns from ski_data and use the `nunique` method to calculate\n", + "#the number of unique values in each\n", + "ski_data[['Region', 'state']].nunique()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "**Q: 2** One resort has an incredibly large skiable terrain area! Which is it?" + "Because a few states are split across multiple named regions, there are slightly more unique regions than states." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### 2.6.3.4 Distribution Of Resorts By Region And State" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "If this is your first time using [matplotlib](https://matplotlib.org/3.2.2/index.html)'s [subplots](https://matplotlib.org/3.2.2/api/_as_gen/matplotlib.pyplot.subplots.html), you may find the online documentation useful." ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 63, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "image/png": 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "#Code task 13#\n", + "#Create two subplots on 1 row and 2 columns with a figsize of (12, 8)\n", + "fig, ax = plt.subplots(1, 2, figsize=(12,8))\n", + "#Specify a horizontal barplot ('barh') as kind of plot (kind=)\n", + "ski_data.Region.value_counts().plot(kind='barh', ax=ax[0])\n", + "#Give the plot a helpful title of 'Region'\n", + "ax[0].set_title('Region')\n", + "#Label the xaxis 'Count'\n", + "ax[0].set_xlabel('Count')\n", + "#Specify a horizontal barplot ('barh') as kind of plot (kind=)\n", + "ski_data.state.value_counts().plot(kind='barh', ax=ax[1])\n", + "#Give the plot a helpful title of 'state'\n", + "ax[1].set_title('state')\n", + "#Label the xaxis 'Count'\n", + "ax[1].set_xlabel('Count')\n", + "#Give the subplots a little \"breathing room\" with a wspace of 0.5\n", + "plt.subplots_adjust(wspace=0.5)\n", + "plt.show()\n", + "#You're encouraged to explore a few different figure sizes, orientations, and spacing here\n", + "# as the importance of easy-to-read and informative figures is frequently understated\n", + "# and you will find the ability to tweak figures invaluable later on" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "How's your geography? Looking at the distribution of States, you see New York accounting for the majority of resorts. Our target resort is in Montana, which comes in at 13th place. You should think carefully about how, or whether, you use this information. Does New York command a premium because of its proximity to population? Even if a resort's State were a useful predictor of ticket price, your main interest lies in Montana. Would you want a model that is skewed for accuracy by New York? Should you just filter for Montana and create a Montana-specific model? This would slash your available data volume. Your problem task includes the contextual insight that the data are for resorts all belonging to the same market share. This suggests one might expect prices to be similar amongst them. You can look into this. A boxplot grouped by State is an ideal way to quickly compare prices. Another side note worth bringing up here is that, in reality, the best approach here definitely would include consulting with the client or other domain expert. They might know of good reasons for treating states equivalently or differently. The data scientist is rarely the final arbiter of such a decision. But here, you'll see if we can find any supporting evidence for treating states the same or differently." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### 2.6.3.5 Distribution Of Ticket Price By State" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Our primary focus is our Big Mountain resort, in Montana. Does the state give you any clues to help decide what your primary target response feature should be (weekend or weekday ticket prices)?" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "##### 2.6.3.5.1 Average weekend and weekday price by state" + ] + }, + { + "cell_type": "code", + "execution_count": 68, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
AdultWeekdayAdultWeekend
state
Alaska47.33333357.333333
Arizona81.50000083.500000
California78.21428681.416667
Colorado90.71428690.714286
Connecticut47.80000056.800000
\n", + "
" + ], + "text/plain": [ + " AdultWeekday AdultWeekend\n", + "state \n", + "Alaska 47.333333 57.333333\n", + "Arizona 81.500000 83.500000\n", + "California 78.214286 81.416667\n", + "Colorado 90.714286 90.714286\n", + "Connecticut 47.800000 56.800000" + ] + }, + "execution_count": 68, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#Code task 14#\n", + "# Calculate average weekday and weekend price by state and sort by the average of the two\n", + "# Hint: use the pattern dataframe.groupby()[].mean()\n", + "state_price_means = ski_data.groupby('state')[['AdultWeekday', 'AdultWeekend']].mean()\n", + "state_price_means.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 69, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# The next bit simply reorders the index by increasing average of weekday and weekend prices\n", + "# Compare the index order you get from\n", + "# state_price_means.index\n", + "# with\n", + "# state_price_means.mean(axis=1).sort_values(ascending=False).index\n", + "# See how this expression simply sits within the reindex()\n", + "(state_price_means.reindex(index=state_price_means.mean(axis=1)\n", + " .sort_values(ascending=False)\n", + " .index)\n", + " .plot(kind='barh', figsize=(10, 10), title='Average ticket price by State'))\n", + "plt.xlabel('Price ($)');" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "The figure above represents a dataframe with two columns, one for the average prices of each kind of ticket. This tells you how the average ticket price varies from state to state. But can you get more insight into the difference in the distributions between states?" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "##### 2.6.3.5.2 Distribution of weekday and weekend price by state" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Next, you can transform the data into a single column for price with a new categorical column that represents the ticket type." + ] + }, + { + "cell_type": "code", + "execution_count": 73, + "metadata": {}, + "outputs": [], + "source": [ + "#Code task 15#\n", + "#Use the pd.melt function, pass in the ski_data columns 'state', 'AdultWeekday', and 'Adultweekend' only,\n", + "#specify 'state' for `id_vars`\n", + "#gather the ticket prices from the 'Adultweekday' and 'AdultWeekend' columns using the `value_vars` argument,\n", + "#call the resultant price column 'Price' via the `value_name` argument,\n", + "#name the weekday/weekend indicator column 'Ticket' via the `var_name` argument\n", + "ticket_prices = pd.melt(ski_data[['state','AdultWeekday' , 'AdultWeekend']], \n", + " id_vars='state', \n", + " var_name='Ticket', \n", + " value_vars=['AdultWeekday', 'AdultWeekend'], \n", + " value_name='Price')" + ] + }, + { + "cell_type": "code", + "execution_count": 74, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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stateTicketPrice
0AlaskaAdultWeekday65.0
1AlaskaAdultWeekday47.0
2AlaskaAdultWeekday30.0
3ArizonaAdultWeekday89.0
4ArizonaAdultWeekday74.0
\n", + "
" + ], + "text/plain": [ + " state Ticket Price\n", + "0 Alaska AdultWeekday 65.0\n", + "1 Alaska AdultWeekday 47.0\n", + "2 Alaska AdultWeekday 30.0\n", + "3 Arizona AdultWeekday 89.0\n", + "4 Arizona AdultWeekday 74.0" + ] + }, + "execution_count": 74, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "ticket_prices.head()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "This is now in a format we can pass to [seaborn](https://seaborn.pydata.org/)'s [boxplot](https://seaborn.pydata.org/generated/seaborn.boxplot.html) function to create boxplots of the ticket price distributions for each ticket type for each state." + ] + }, + { + "cell_type": "code", + "execution_count": 76, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "#Code task 16#\n", + "#Create a seaborn boxplot of the ticket price dataframe we created above,\n", + "#with 'state' on the x-axis, 'Price' as the y-value, and a hue that indicates 'Ticket'\n", + "#This will use boxplot's x, y, hue, and data arguments.\n", + "plt.subplots(figsize=(12, 8))\n", + "sns.boxplot(x='state', y='Price', hue='Ticket', data=ticket_prices)\n", + "plt.xticks(rotation='vertical')\n", + "plt.ylabel('Price ($)')\n", + "plt.xlabel('State');" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Aside from some relatively expensive ticket prices in California, Colorado, and Utah, most prices appear to lie in a broad band from around 25 to over 100 dollars. Some States show more variability than others. Montana and South Dakota, for example, both show fairly small variability as well as matching weekend and weekday ticket prices. Nevada and Utah, on the other hand, show the most range in prices. Some States, notably North Carolina and Virginia, have weekend prices far higher than weekday prices. You could be inspired from this exploration to consider a few potential groupings of resorts, those with low spread, those with lower averages, and those that charge a premium for weekend tickets. However, you're told that you are taking all resorts to be part of the same market share, you could argue against further segment the resorts. Nevertheless, ways to consider using the State information in your modelling include:\n", + "\n", + "* disregard State completely\n", + "* retain all State information\n", + "* retain State in the form of Montana vs not Montana, as our target resort is in Montana\n", + "\n", + "You've also noted another effect above: some States show a marked difference between weekday and weekend ticket prices. It may make sense to allow a model to take into account not just State but also weekend vs weekday." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Thus we currently have two main questions you want to resolve:\n", + "\n", + "* What do you do about the two types of ticket price?\n", + "* What do you do about the state information?" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### 2.6.4 Numeric Features" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Having decided to reserve judgement on how exactly you utilize the State, turn your attention to cleaning the numeric features." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### 2.6.4.1 Numeric data summary" + ] + }, + { + "cell_type": "code", + "execution_count": 82, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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countmeanstdmin25%50%75%max
summit_elev330.04591.8181823735.535934315.01403.753127.57806.0013487.0
vertical_drop330.01215.427273947.86455760.0461.25964.51800.004425.0
base_elev330.03374.0000003117.12162170.0869.001561.56325.2510800.0
trams330.00.1727270.5599460.00.000.00.004.0
fastEight164.00.0060980.0780870.00.000.00.001.0
fastSixes330.00.1848480.6516850.00.000.00.006.0
fastQuads330.01.0181822.1982940.00.000.01.0015.0
quad330.00.9333331.3122450.00.000.01.008.0
triple330.01.5000001.6191300.00.001.02.008.0
double330.01.8333331.8150280.01.001.03.0014.0
surface330.02.6212122.0596360.01.002.03.0015.0
total_chairs330.08.2666675.7986830.05.007.010.0041.0
Runs326.048.21472446.3640773.019.0033.060.00341.0
TerrainParks279.02.8207892.0081131.01.002.04.0014.0
LongestRun_mi325.01.4332311.1561710.00.501.02.006.0
SkiableTerrain_ac327.0739.8012231816.1674418.085.00200.0690.0026819.0
Snow Making_ac284.0174.873239261.3361252.050.00100.0200.503379.0
daysOpenLastYear279.0115.10394335.0632513.097.00114.0135.00305.0
yearsOpen329.063.656535109.4299286.050.0058.069.002019.0
averageSnowfall316.0185.316456136.35684218.069.00150.0300.00669.0
AdultWeekday276.057.91695726.14012615.040.0050.071.00179.0
AdultWeekend279.064.16681024.55458417.047.0060.077.50179.0
projectedDaysOpen283.0120.05300431.04596330.0100.00120.0139.50305.0
NightSkiing_ac187.0100.395722105.1696202.040.0072.0114.00650.0
\n", + "
" + ], + "text/plain": [ + " count mean std min 25% 50% \\\n", + "summit_elev 330.0 4591.818182 3735.535934 315.0 1403.75 3127.5 \n", + "vertical_drop 330.0 1215.427273 947.864557 60.0 461.25 964.5 \n", + "base_elev 330.0 3374.000000 3117.121621 70.0 869.00 1561.5 \n", + "trams 330.0 0.172727 0.559946 0.0 0.00 0.0 \n", + "fastEight 164.0 0.006098 0.078087 0.0 0.00 0.0 \n", + "fastSixes 330.0 0.184848 0.651685 0.0 0.00 0.0 \n", + "fastQuads 330.0 1.018182 2.198294 0.0 0.00 0.0 \n", + "quad 330.0 0.933333 1.312245 0.0 0.00 0.0 \n", + "triple 330.0 1.500000 1.619130 0.0 0.00 1.0 \n", + "double 330.0 1.833333 1.815028 0.0 1.00 1.0 \n", + "surface 330.0 2.621212 2.059636 0.0 1.00 2.0 \n", + "total_chairs 330.0 8.266667 5.798683 0.0 5.00 7.0 \n", + "Runs 326.0 48.214724 46.364077 3.0 19.00 33.0 \n", + "TerrainParks 279.0 2.820789 2.008113 1.0 1.00 2.0 \n", + "LongestRun_mi 325.0 1.433231 1.156171 0.0 0.50 1.0 \n", + "SkiableTerrain_ac 327.0 739.801223 1816.167441 8.0 85.00 200.0 \n", + "Snow Making_ac 284.0 174.873239 261.336125 2.0 50.00 100.0 \n", + "daysOpenLastYear 279.0 115.103943 35.063251 3.0 97.00 114.0 \n", + "yearsOpen 329.0 63.656535 109.429928 6.0 50.00 58.0 \n", + "averageSnowfall 316.0 185.316456 136.356842 18.0 69.00 150.0 \n", + "AdultWeekday 276.0 57.916957 26.140126 15.0 40.00 50.0 \n", + "AdultWeekend 279.0 64.166810 24.554584 17.0 47.00 60.0 \n", + "projectedDaysOpen 283.0 120.053004 31.045963 30.0 100.00 120.0 \n", + "NightSkiing_ac 187.0 100.395722 105.169620 2.0 40.00 72.0 \n", + "\n", + " 75% max \n", + "summit_elev 7806.00 13487.0 \n", + "vertical_drop 1800.00 4425.0 \n", + "base_elev 6325.25 10800.0 \n", + "trams 0.00 4.0 \n", + "fastEight 0.00 1.0 \n", + "fastSixes 0.00 6.0 \n", + "fastQuads 1.00 15.0 \n", + "quad 1.00 8.0 \n", + "triple 2.00 8.0 \n", + "double 3.00 14.0 \n", + "surface 3.00 15.0 \n", + "total_chairs 10.00 41.0 \n", + "Runs 60.00 341.0 \n", + "TerrainParks 4.00 14.0 \n", + "LongestRun_mi 2.00 6.0 \n", + "SkiableTerrain_ac 690.00 26819.0 \n", + "Snow Making_ac 200.50 3379.0 \n", + "daysOpenLastYear 135.00 305.0 \n", + "yearsOpen 69.00 2019.0 \n", + "averageSnowfall 300.00 669.0 \n", + "AdultWeekday 71.00 179.0 \n", + "AdultWeekend 77.50 179.0 \n", + "projectedDaysOpen 139.50 305.0 \n", + "NightSkiing_ac 114.00 650.0 " + ] + }, + "execution_count": 82, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#Code task 17#\n", + "#Call ski_data's `describe` method for a statistical summary of the numerical columns\n", + "#Hint: there are fewer summary stat columns than features, so displaying the transpose\n", + "#will be useful again\n", + "ski_data.describe().T" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Recall you're missing the ticket prices for some 16% of resorts. This is a fundamental problem that means you simply lack the required data for those resorts and will have to drop those records. But you may have a weekend price and not a weekday price, or vice versa. You want to keep any price you have." + ] + }, + { + "cell_type": "code", + "execution_count": 84, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "0 82.424242\n", + "2 14.242424\n", + "1 3.333333\n", + "Name: count, dtype: float64" + ] + }, + "execution_count": 84, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "missing_price = ski_data[['AdultWeekend', 'AdultWeekday']].isnull().sum(axis=1)\n", + "missing_price.value_counts()/len(missing_price) * 100" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Just over 82% of resorts have no missing ticket price, 3% are missing one value, and 14% are missing both. You will definitely want to drop the records for which you have no price information, however you will not do so just yet. There may still be useful information about the distributions of other features in that 14% of the data." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### 2.6.4.2 Distributions Of Feature Values" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Note that, although we are still in the 'data wrangling and cleaning' phase rather than exploratory data analysis, looking at distributions of features is immensely useful in getting a feel for whether the values look sensible and whether there are any obvious outliers to investigate. Some exploratory data analysis belongs here, and data wrangling will inevitably occur later on. It's more a matter of emphasis. Here, we're interesting in focusing on whether distributions look plausible or wrong. Later on, we're more interested in relationships and patterns." + ] + }, + { + "cell_type": "code", + "execution_count": 88, + "metadata": { + "scrolled": true + }, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 88, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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4cWN17txZc+fOtZ6bmpqqDh06aP78+Xr55Ze1ZMkS1a9fX23atEn3OlntIzZs2FCpqanq3Lmzli1bpnPnzt3w+GWlnbp8+bJatGihuXPnavDgwVq6dKmeeOIJRUdHq3Pnzla9Vq1aaefOndZ5ueTkZMXExMjDw8PqQ0tXzxm4u7urefPmevrpp7V48WJJ0gsvvKB169ZpyZIlWX5v8Q8Z5Gt///23ady4sZFkJJmiRYuakJAQExUVZc6fP2/Vq1KlimnXrp25dOmSefTRR03p0qXNypUr021PkhkzZkymr5ecnGyuXLliWrZsaTp16mSVx8XFGUnG39/fJCQkWOXnzp0z3t7eplWrVlbZrFmzjCQTFxdnjDHm4sWLxtvb23To0MHhtVJSUsy9995rHnjggQxj6d27tylRooT1+LPPPjOSzP/93/851IuNjTWSzHvvvedwPNzc3MyuXbsc6v70009GkmnatGmmx+Bmx8KY9McxbZ8HDBjgUC86OtpIMseOHbvp690ojqSkJBMYGGgGDRpklb/++utGklmxYsUtbxsoiLLaLhpztS0oXry4OXDggFWWkJBgvL29Tf/+/a2y7t27G7vdbg4ePOjw/LZt2xpPT09z5swZY4wxH330kZFk1Rs3bpy56667TMeOHU3fvn2NMcYkJSWZEiVKmFdeeeWG+5HWHn3++edm3759xmazmW+//dYYY8xjjz1mmjdvbowxpl27dqZKlSqZbiclJcVcuXLFzJ0717i5uZlTp05Z65o1a2Zq1aplUlJSzPPPP2+KFStm5s2bl24bVapUMb17904X20MPPeRQb9GiRUaSWbdunTHGmFOnThm73W66devmUG/dunVGkmnWrNkNj8GNpKammitXrpiYmBgjyWzdutVaV61aNVOtWjWH/0dAYVS/fv1M+16ZdeNv1Cb07t3bVKhQwSQmJlplEyZMMEWKFLH6bV988YWRZLZs2ZJpXG3atDGSzOXLlzOt8/333xtJZsKECcaY7PUlW7dubW6//XZz9uxZh20+//zzpnjx4tY+ZbWtStv3a/uVWZFZH6x9+/amdu3aN3zuW2+95dAfzkjXrl2NJOPj42P++usvY8z/2s+JEyc61D106JDx8PAww4cPz3BbaW3mgQMHjCTz1VdfWevGjBljJJnRo0ffbJcBZCDtt97mzZutst9++81IMnPmzDHGGHPXXXeZOnXqmCtXrjg8t3379sbPz8+kpKRkuO2b/f6uVq2aSUpKSrfNG7VB8fHxRpLp3r37DferW7duRpI5fvy4MeZ/bcW17Z0xxnz66adGktWHPHjwoHF3dzcvvPCCQ73z588bX19f07VrV6usd+/eRpJZtGiRQ92HHnrI1KhR44bxAbh1mfVhvv76ayPJLF++3KGuv7+/efTRR62y/v37m5IlSzr8jjbGmLfffttIMjt27DDG3LityiimK1eumH79+pk6depY5UuXLjWSzPTp0x3qR0VFpTv3ltU+Ympqqunfv78pUqSIkWRsNpu5++67zaBBg9L1zbLaTs2YMSPDehMmTHA4pnv37jWSzNy5c40xxqxZs8ZIMsOHDzcBAQHW80JDQ01ISIj1OO1YvvXWWzc9jhm9t2nPnzVrllV2/flZZIyRI/lc2bJl9csvvyg2Nlbjx4/Xww8/rN27d2vkyJEKDg52GDZ/8uRJPfjgg/rtt9+0Zs2aLM9RN2PGDN13330qXry43N3dVbRoUf3444/6/fff09Xt3Lmzihcvbj328vJShw4d9PPPP2d6dd7atWt16tQp9e7dW8nJydaSmpqqNm3aKDY2NsMpU6737bff6rbbblOHDh0ctlO7dm35+vqmu9LmnnvuyXCqB0kOo0hu9VhkpGPHjulikKQDBw5k6fnS1axyZGSkatasqWLFisnd3V3FihXTnj17HOL4/vvvVb16dbVq1SrL2wYKg+y0i5JUu3ZtVa5c2XpcvHhxVa9e3eF7uWrVKrVs2TLdTdn69OmjS5cuWVc0p33f0kaPrFixQqGhoWrVqpV1Fci6det08eLFbH03AwIC1Lx5c3388cc6efKkdbVKZjZv3qyOHTuqbNmycnNzU9GiRdWrVy+lpKSkG7Fx+fJlPfLII/r000+1fPly62qgrLhZm7Z+/XolJiaqa9euDvUaNGhgDQPOjn379qlnz57y9fW19qtZs2aSZLV/u3fv1p9//mld5Q4UVhcvXlRsbGymfa9rZbVNeOmll3TixAlrSH9qaqqmT5+udu3aWd/Z2rVrq1ixYvrXv/6lOXPmpJvKKauMMZKujrq71s36kpcvX9aPP/6oTp06ydPT06HP99BDD+ny5ctav369wzZzov8lZb0P9sADD2jr1q0aMGBAlq5GzMzrr78uSXrxxRdVrlw5SVf7uzabTU888YTDvvv6+uree+916O+eOHFCzz77rCpVqmT1W6tUqSJJGfZdM+v/ArixHj16qEKFCg6jR6ZMmaLy5curW7du2rt3r/744w+rj3V9u3Xs2DGHq3uz85uzY8eOKlq0qENZTrVBmbXT1/cVu3btKnd3d/3000+Sro7gTU5OVq9evRz2tXjx4mrWrFm63+U2my3d/6177rkn2200gMxltQ/Ttm1b+fr6OoxCXrZsmY4ePerw+/Pbb79VixYt5O/v7/A9b9u2rSQpJibG4fUzaqsk6fPPP1ejRo1UsmRJq72bOXOmQ0xp27r+N2WPHj0cHmenj2iz2TRjxgzt27dP7733nvr27asrV67onXfeUa1atdLFn5V2atWqVSpRooS6dOniUC9teuq0mSSqVaumqlWrOpwzCA4O1hNPPKG4uDj9+eefSkxM1Jo1a7J0ziCr7y1uHcmRAqJevXp6+eWX9fnnn+vo0aMaNGiQ9u/f73Dz4d27d+vXX39V27ZtFRQUlKXtTpo0Sc8995zq16+v//u//9P69esVGxurNm3apJumSpJ8fX0zLEtKStKFCxcyfI204f9dunRR0aJFHZYJEybIGGMNL76R48eP68yZMypWrFi67cTHx6c7IZp2g8uMZLQuu8ciI2XLlnV4nHYDqqw+X5IGDx6s1157TY888oi++eYb/frrr4qNjdW9997rsJ2//vor02HSgCvISrsopf9eSle/m9d+n06ePJlhu+Dv72+tl6QqVaqoWrVqWrlypZU0SUuOHD58WLt27dLKlSvl4eGhkJCQbO1Pv3799M0332jSpEny8PBI1+lKc/DgQTVp0kRHjhzRu+++ayWK0n6wX9/enDhxQsuWLVPDhg2zHdPN2rS04+Lj45PuuRmV3ciFCxfUpEkT/frrrxo3bpxWr16t2NhYa3hx2mumzXlN+4fC7vTp00pNTc2075UmO21CnTp11KRJE2vdt99+q/379+v555+36qS1cRUqVNDAgQNVrVo1VatWzWEu+7SEc1xcXKbx79+/X5LSJZ1v1pc8efKkkpOTNWXKlHT9vYceekiS0vX5cqL/JWW9DzZy5Ei9/fbbWr9+vdq2bauyZcuqZcuW2rBhQ7ZeLy3OYsWKWWXHjx+37nF1/f6vX7/e2vfU1FSFhYVp8eLFGj58uH788Uf99ttv1kmBjPb9Rn1jAJmz2+3q37+/5s+frzNnzuivv/7SokWL9PTTT8tut1u/d4cOHZrueztgwABJ/2u3svubM6Pv7c3aoHLlysnT0/OGbbR0tZ329PSUt7e3Q/n17bS7u7vKli1r9fvS9vf+++9Pt78LFy5M10Z7enqmu6DFbrdb97kC8M9ltQ/j7u6uJ598UkuWLLGm4ps9e7b8/PzUunVrq97x48f1zTffpPuOp91LIyvn3xYvXqyuXbuqYsWKmjdvntatW6fY2Fg99dRTDt//kydPyt3dPV1bdP3vyVvpI1apUkXPPfecZs6cqT179mjhwoW6fPmydW+4NFlpp06ePClfX990CeUKFSrI3d3daiMlqWXLllayZOXKlQoNDVVwcLB8fHy0cuVK/ec//1FCQkKWkiNZfW9x62482TjypaJFi2rMmDF65513tH37dqu8YcOGeuyxx9SvXz9J0vTp02960/Z58+apefPmmj59ukP5+fPnM6yfdlPN68uKFSumkiVLZvictCvhpkyZogYNGmRYJysn0dJucv7DDz9kuN7Ly8vh8fUN1s3WZfdY5JZ58+apV69eioyMdCj/+++/He5fUL58eR0+fDhPYwPyq8zaxawqW7ZshvfqOXr0qKT/tWOSrHlIY2JilJqaqubNm8vLy0v+/v5asWKFVq5cqSZNmlgnvbKqc+fOGjhwoMaPH69nnnlGHh4eGdb78ssvdfHiRS1evNi6QliStmzZkmH9ypUra9KkSerUqZM6d+6szz//PMdGXKSdkMzoXh/x8fHZGj2yatUqHT16VKtXr7ZGi0hKd1P78uXLSxLtHwq9MmXKyGazZdr3SpPdNuHFF1/UY489pk2bNmnq1KmqXr26QkNDHeo0adJETZo0UUpKijZs2KApU6YoPDxcPj4+6t69u0JDQ/XBBx/oyy+/1IgRIzJ8nS+//NKaRzmz2K8tS+tLFi1aVG5ubnryySc1cODADLcdEBCQYfk/ldU+mLu7uwYPHqzBgwfrzJkzWrlypV555RW1bt1ahw4dkqen5y3HUK5cOdlsNv3yyy8Z/h9JK9u+fbu2bt2q2bNnq3fv3tb6vXv3ZrrtG/WNAdzYc889p/Hjx+vjjz/W5cuXlZycrGeffVbS//qJI0eOdJh3/lo1atSQlP3fnBl9b7PSBrVo0UI//PCDDh8+nOEFJYcPH9bGjRvVtm1bubm5OayLj49XxYoVrcfJyck6efKk1e9L298vvvjC4f8OAOfJah9Gkvr27au33npLCxYsULdu3fT1118rPDzcoS0oV66c7rnnHr355psZvl7aRYRpMjvHFhAQoIULFzqsv/4m52XLllVycrJOnTrlkCC5vs9YpkyZf9xH7Nq1q6Kiom75nMGvv/4qY4zD/pw4cULJycnpzhnMnDlTv/32m3799Ve9+uqrkqQHH3xQK1as0IEDB1SyZMlMz5FeKzvvLW4NI0fyucxurJ02dOr6Bql3795asGCBZs2aZU2ncCM2my3dD6///ve/md5gffHixQ6Z0/Pnz+ubb75RkyZN0nWq0jRq1Ei33Xabdu7cqXr16mW4XHvFXGbat2+vkydPKiUlJcNtpHU4b1V2j0VuySiOpUuX6siRIw5lbdu21e7du7Vq1aq8DA9wuuy2i1nRsmVL6+T8tebOnStPT0+HTkurVq10/PhxTZ48WQ0aNLASsy1bttSSJUsUGxt7S9PdeXh4aPTo0erQoYOee+65TOuldcSubSeMMfrwww8zfU5YWJiWLVumn3/+We3bt8/SVIZZUb9+fdntdi1cuNChfP369dmeKiGj/ZKU7ubR1atXV7Vq1fTxxx+n61gDhUmJEiX0wAMPZNr3SpPdNqFTp06qXLmyhgwZopUrV2rAgAGZnjR3c3NT/fr1rZEmmzZtsrZRs2ZNjR8/Pt1UfpK0cOFCLV++XE8//XS6K5Bv1pdMO6m3efNm3XPPPRn2+TIaEZgTstoHu9Ztt92mLl26aODAgTp16pQ1YuZWR6+0b99exhgdOXIkw30PDg62Yr32ddJc32YCyBl+fn567LHH9N5772nGjBnq0KGDNYquRo0aCgwM1NatWzP9vZvWX8zp35yZtUEjR46UMUYDBgxId04gJSVFzz33nIwxGjlyZLptfvrppw6PFy1apOTkZCvZ3bp1a7m7u+vPP//MdH8B5K3s9GHuvvtu1a9fX7NmzdL8+fOVmJiovn37OtRp3769tm/frmrVqmX4Hc/Kb26bzaZixYo59DPj4+P11VdfOdRLuzDu+t+UCxYscHicnT5iZucMLly4oEOHDt3yOYMLFy7oyy+/dChPu7n8tbc2aNmypWw2m1577TUVKVJETZs2lXT1XMJPP/2kFStWqGnTphlORXa9W+mfInsYOZLPtW7dWrfffrs6dOigu+66S6mpqdqyZYsmTpyokiVL6qWXXkr3nC5dusjT01NdunRRQkKCPvvss0yTD+3bt9cbb7yhMWPGqFmzZtq1a5def/11BQQEKDk5OV19Nzc3hYaGavDgwUpNTdWECRN07tw5jR07NtN9KFmypKZMmaLevXvr1KlT6tKliypUqKC//vpLW7du1V9//ZXuypmMdO/eXZ9++qkeeughvfTSS3rggQdUtGhRHT58WD/99JMefvhhderU6abbyUx2j0Vuad++vWbPnq277rpL99xzjzZu3Ki33nor3RU/4eHhWrhwoR5++GGNGDFCDzzwgBISEhQTE6P27durRYsWeRYzkJdupV28mTFjxljzqo4ePVre3t769NNPtXTpUkVHR6t06dJW3QcffFA2m03Lly93aPtatWplXb17q/cCSrsK8EZCQ0NVrFgx9ejRQ8OHD9fly5c1ffp0nT59+obPa9y4sX788Ue1adNGYWFh+u677xz261Z4e3tr8ODBioqKUpkyZdSpUycdPnxYY8eOlZ+f301HL14rJCREZcqU0bPPPqsxY8aoaNGi+vTTT7V169Z0dadNm6YOHTqoQYMGGjRokCpXrqyDBw9q2bJl6X7QAwXZG2+8oTZt2ig0NFRDhgxRSkqKJkyYoBIlSlhTkma3TXBzc9PAgQP18ssvq0SJEtY8yWlmzJihVatWqV27dqpcubIuX76sjz/+WNL/2jY3Nzf93//9n0JDQ9WwYUMNGTJEDRs2VGJior755ht98MEHatasmSZOnJjh69+sL/nuu++qcePGatKkiZ577jlVrVpV58+f1969e/XNN9/c8oUhKSkp+uKLL9KVlyhRQm3bts1yH6xDhw4KCgpSvXr1VL58eR04cECTJ09WlSpVFBgYKElWEuPdd99V7969VbRoUdWoUSPdSOfrNWrUSP/617/Ut29fbdiwQU2bNlWJEiV07NgxrVmzRsHBwXruued01113qVq1ahoxYoSMMfL29tY333xj3f8KQM576aWXVL9+fUlymK9fupqYbNu2rVq3bq0+ffqoYsWKOnXqlH7//Xdt2rTJutdTTvzmzEob1KhRI02ePFnh4eFq3Lixnn/+eau/NG3aNP3666+aPHlyhlOuLl68WO7u7goNDdWOHTv02muv6d5777XuB1C1alW9/vrrGjVqlPbt26c2bdqoTJkyOn78uH777TeVKFHihucHAOS8rPZh0jz11FPq37+/jh49qpCQkHQXG7/++utasWKFQkJC9OKLL6pGjRq6fPmy9u/fr++++04zZsy46TTH7du31+LFizVgwAB16dJFhw4d0htvvCE/Pz/t2bPHqtemTRs1atRIQ4YM0blz51S3bl2tW7fOSjpc+5syq33EN998U//5z3/UrVs31a5dWx4eHoqLi9PUqVN18uRJvfXWW9k+xr169dK0adPUu3dv7d+/X8HBwVqzZo0iIyP10EMPOZwDqFChgoKCgrR8+XK1aNHCGlXcqlUrnTp1SqdOndKkSZOy9LrZfW9xC5x0I3hk0cKFC03Pnj1NYGCgKVmypClatKipXLmyefLJJ83OnTutelWqVDHt2rVzeO5PP/1kSpYsadq0aWMuXbpkjDFGkhkzZoxVJzEx0QwdOtRUrFjRFC9e3Nx3333myy+/NL179zZVqlSx6sXFxRlJZsKECWbs2LHm9ttvN8WKFTN16tQxy5Ytc3jdWbNmGUkmLi7OoTwmJsa0a9fOeHt7m6JFi5qKFSuadu3amc8//zzDff9/9u48PIoy+//+pxOgCSFkCFsSCIsIsgQBAQVklU1kd2EbBZRxcGQxrIKMGhSBYRBxwMENAUWIyw8UFGRRQf0iI7sssqgQQAgwCAkESEJynj94UmMblgSTdJJ+v66rL+277q4+VVTuPt2n6q7+/ftbYGCgR1tKSopNmzbN6tata0WLFrXixYtbjRo1bNCgQbZ///5r7o/0fSLpiu+Z2X1xpf2Yvs0bN2684vt9+eWXV9zGKzl9+rQNHDjQypYta8WKFbNmzZrZ119/bS1btrSWLVtm6PvEE09YxYoVrXDhwla2bFnr1KmT7dmzJ9PvB+Q3mR0Xza4+Flzp72nHjh3WpUsXCw4OtiJFiljdunVt7ty5V4yhfv36Jsn+7//+z2n75ZdfTJKVKlXK0tLSrrsd1xqPfqtTp04ZxqBly5Y542D58uVt9OjRtmLFigzjTcuWLa127doer925c6eFhobabbfdZidPnjSzy/upf//+140t/bPgt/slLS3NJk6c6Hwu3HrrrfbJJ59Y3bp1rUePHtfdD7+1fv16a9KkiRUrVszKlCljf/nLX2zLli0Z3tPM7Ntvv7WOHTtacHCwud1uq1q1qg0fPjxL7wfkB0uXLrVbb73VihQpYhUrVrQpU6bYs88+a79N4zM7JqQ7ePCgSbLHHnssw7Jvv/3WevToYZUqVTK3222lSpWyli1b2tKlSzP0/e9//2tjx461GjVqOHnZ7bffbrNmzbLk5GSPvlnJJdP7P/LII1a+fHkrXLiwlSlTxpo2bWoTJ050+mRlrOrfv79JuuIjfYzNbA724osvWtOmTa106dLOv8vAgQPt4MGDHnGMGzfOwsPDzc/P74r/Fulx/vOf/8yw/W+99ZbdcccdFhgYaAEBAVa1alXr16+fbdq0yemze/dua9eunQUFBVnJkiXtgQcesEOHDmXIU9OPl/QxH8CNq1y5stWsWfOKy7Zv3249e/a0smXLWuHChS00NNTuuusue/XVV50+Wf3+faXxIbNjkNnlMf3++++3cuXKWaFChaxs2bJ277332vr16zP0TR8rNm/ebF26dLHixYtbUFCQ9enTx44fP56h/0cffWStW7e2EiVKmNvttkqVKtn9999va9ascfpc6Tv9b98LQPbIyu9IZmbx8fEWEBBgkuyNN9644jpPnjxpw4YNsypVqljhwoUtJCTEGjRoYOPHj7dz586Z2bXHKjOzKVOmWOXKlc3tdlvNmjXtjTfeuOLf/6+//moPP/yw/elPf7JixYpZu3btbMOGDSbJXn75ZY++mckRN2zYYIMHD7a6detaSEiI+fv7W5kyZezuu++25cuXe6wvK+PUqVOn7LHHHrOwsDArVKiQVapUycaNG2cXL17M8Prhw4ebJHvhhRc82qtVq2aS7Pvvv8+wXVfal5n9t71S/nu132fhyWVmlkN1FwAA4IMOHDigGjVq6Nlnn9VTTz3l7XAA/M7MmTM1bNgw7dy507mxZk47ePCgqlSpon/+858aNWpUrrwnAGSn77//XnXr1tUrr7zi3Gi9IImOjtaECRN08uRJj7nzAcAbFi5cqD//+c/6v//7vyte5QZkF6bVAgAAN2z79u1atGiRmjZtqhIlSmjv3r2aOnWqSpQooYEDB3o7PAC/sXXrVh04cEDPPfecunXrlmuFEQDIz3766SfFxsbqqaeeUlhYWIbpCAEAf8yiRYv0yy+/qE6dOvLz89OGDRv0z3/+Uy1atKAwghxHcQTIJWlpaUpLS7tmn0KF+JMEkL8EBgZq06ZNmjNnjs6cOaPg4GC1atVKL7zwgsqVKyfp8jz/17pQ1eVyyd/fP7dCBnxWjx49FBcXp+bNm+vVV1/1djgAkC88//zzeuedd1SzZk198MEHztzxAIDsERQUpJiYGE2cOFGJiYlOIXrixIneDg0+gGm1gFySfpnytRw4cECVK1fOnYAAIJdUrlxZsbGxV13esmVLrV27NvcCAgAAAAAAPo/iCJBLjh49qqNHj16zz6233qoiRYrkUkQAkDt27NihpKSkqy4PCgrSLbfckosRAQAAAAAAX0dxBAAAAAAAAAAA+JR8eYODtLQ0HT16VEFBQXK5XN4OB4CXmJnOnj2r8PBw+fn5eTucXMdYCEBiLGQsBCAxFjIWAvD1cVBiLASQ9bEwXxZHjh49qoiICG+HASCPOHz4sCpUqODtMHIdYyGA32IsBADGQgD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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "#Code task 18#\n", + "#Call ski_data's `hist` method to plot histograms of each of the numeric features\n", + "#Try passing it an argument figsize=(15,10)\n", + "#Try calling plt.subplots_adjust() with an argument hspace=0.5 to adjust the spacing\n", + "#It's important you create legible and easy-to-read plots\n", + "ski_data.hist(figsize=(20,20),xrot=45, grid=False)\n", + "plt.subplots_adjust(wspace = 0.25, hspace=.75);\n", + "plt.show\n", + "#Hint: notice how the terminating ';' \"swallows\" some messy output and leads to a tidier notebook" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "**Becky's Note** - I played around with the spacing and tried a few different sizes." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "What features do we have possible cause for concern about and why?\n", + "\n", + "* SkiableTerrain_ac because values are clustered down the low end,\n", + "* Snow Making_ac for the same reason,\n", + "* fastEight because all but one value is 0 so it has very little variance, and half the values are missing,\n", + "* fastSixes raises an amber flag; it has more variability, but still mostly 0,\n", + "* trams also may get an amber flag for the same reason,\n", + "* yearsOpen because most values are low but it has a maximum of 2019, which strongly suggests someone recorded calendar year rather than number of years." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "##### 2.6.4.2.1 SkiableTerrain_ac" + ] + }, + { + "cell_type": "code", + "execution_count": 92, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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13KirkwoodSierra NevadaCalifornia98002000780000.002...2.52300.0200.0200.047.0354.0NaNNaN167.0NaN
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299Stevens Pass ResortWashingtonWashington58451800406100.003...1.01125.0NaN116.082.0460.0NaNNaN145.0450.0
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301White PassWashingtonWashington6550205045000NaN02...2.51402.030.0148.067.0400.069.069.0144.090.0
322Grand Targhee ResortWyomingWyoming99202270785100.002...2.72602.0NaN152.050.0500.090.090.0152.0NaN
324Jackson HoleWyomingWyoming104504139631130.004...4.52500.0195.0130.054.0459.0NaNNaN133.0NaN
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66 rows × 27 columns

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" + ], + "text/plain": [ + " Name Region state summit_elev \\\n", + "0 Alyeska Resort Alaska Alaska 3939 \n", + "7 Bear Valley Sierra Nevada California 8500 \n", + "11 Heavenly Mountain Resort Sierra Nevada California 10067 \n", + "12 June Mountain Sierra Nevada California 10090 \n", + "13 Kirkwood Sierra Nevada California 9800 \n", + ".. ... ... ... ... \n", + "299 Stevens Pass Resort Washington Washington 5845 \n", + "300 The Summit at Snoqualmie Washington Washington 3865 \n", + "301 White Pass Washington Washington 6550 \n", + "322 Grand Targhee Resort Wyoming Wyoming 9920 \n", + "324 Jackson Hole Wyoming Wyoming 10450 \n", + "\n", + " vertical_drop base_elev trams fastEight fastSixes fastQuads ... \\\n", + "0 2500 250 1 0.0 0 2 ... \n", + "7 1900 6600 0 0.0 1 1 ... \n", + "11 3500 7170 2 0.0 2 7 ... \n", + "12 2590 7545 0 NaN 0 2 ... \n", + "13 2000 7800 0 0.0 0 2 ... \n", + ".. ... ... ... ... ... ... ... \n", + "299 1800 4061 0 0.0 0 3 ... \n", + "300 1025 2840 0 NaN 0 3 ... \n", + "301 2050 4500 0 NaN 0 2 ... \n", + "322 2270 7851 0 0.0 0 2 ... \n", + "324 4139 6311 3 0.0 0 4 ... \n", + "\n", + " LongestRun_mi SkiableTerrain_ac Snow Making_ac daysOpenLastYear \\\n", + "0 1.0 1610.0 113.0 150.0 \n", + "7 1.2 1680.0 100.0 165.0 \n", + "11 5.5 4800.0 3379.0 155.0 \n", + "12 2.0 1500.0 NaN NaN \n", + "13 2.5 2300.0 200.0 200.0 \n", + ".. ... ... ... ... \n", + "299 1.0 1125.0 NaN 116.0 \n", + "300 0.8 1994.0 5.0 120.0 \n", + "301 2.5 1402.0 30.0 148.0 \n", + "322 2.7 2602.0 NaN 152.0 \n", + "324 4.5 2500.0 195.0 130.0 \n", + "\n", + " yearsOpen averageSnowfall AdultWeekday AdultWeekend \\\n", + "0 60.0 669.0 65.0 85.0 \n", + "7 52.0 359.0 NaN NaN \n", + "11 64.0 360.0 NaN NaN \n", + "12 58.0 250.0 NaN NaN \n", + "13 47.0 354.0 NaN NaN \n", + ".. ... ... ... ... \n", + "299 82.0 460.0 NaN NaN \n", + "300 82.0 428.0 85.0 95.0 \n", + "301 67.0 400.0 69.0 69.0 \n", + "322 50.0 500.0 90.0 90.0 \n", + "324 54.0 459.0 NaN NaN \n", + "\n", + " projectedDaysOpen NightSkiing_ac \n", + "0 150.0 550.0 \n", + "7 151.0 NaN \n", + "11 157.0 NaN \n", + "12 128.0 NaN \n", + "13 167.0 NaN \n", + ".. ... ... \n", + "299 145.0 450.0 \n", + "300 140.0 541.0 \n", + "301 144.0 90.0 \n", + "322 152.0 NaN \n", + "324 133.0 NaN \n", + "\n", + "[66 rows x 27 columns]" + ] + }, + "execution_count": 92, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#Code task 19#\n", + "#Filter the 'SkiableTerrain_ac' column to print the values greater than 10000\n", + "ski_data.loc[ski_data.SkiableTerrain_ac > 1000]" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "**Q: 2** One resort has an incredibly large skiable terrain area! Which is it?" + ] + }, + { + "cell_type": "code", + "execution_count": 94, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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11273945140231266267
NameHeavenly Mountain ResortAspen / SnowmassSilverton MountainVailBig Sky ResortMt. BachelorPark CityPowder Mountain
RegionSierra NevadaColoradoColoradoColoradoMontanaOregonSalt Lake CityUtah
stateCaliforniaColoradoColoradoColoradoMontanaOregonUtahUtah
summit_elev10067125101348711570111669065100009422
vertical_drop35004406308734504350336532002522
base_elev717081041040081207500570068006900
trams23021040
fastEight0.00.00.00.01.00.00.00.0
fastSixes21032060
fastQuads71501558101
quad14013044
triple53017371
double35105040
surface890912063
total_chairs28401313611419
Runs97.0336.0NaN195.0317.0101.0341.0167.0
TerrainParks3.010.0NaN3.08.05.08.02.0
LongestRun_mi5.55.31.54.06.04.03.53.5
SkiableTerrain_ac4800.05517.026819.05289.05800.04318.07300.08464.0
Snow Making_ac3379.0658.0NaN461.0400.020.0750.0NaN
daysOpenLastYear155.0138.0175.0149.0144.0185.0142.0120.0
yearsOpen64.072.017.057.046.061.056.047.0
averageSnowfall360.0300.0400.0354.0400.0462.0355.0500.0
AdultWeekdayNaN179.079.0NaNNaN99.0NaN88.0
AdultWeekendNaN179.079.0NaNNaN99.0NaN88.0
projectedDaysOpen157.0138.0181.0142.0144.0185.0143.0146.0
NightSkiing_acNaNNaNNaNNaNNaNNaNNaN300.0
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" + ], + "text/plain": [ + " 11 27 \\\n", + "Name Heavenly Mountain Resort Aspen / Snowmass \n", + "Region Sierra Nevada Colorado \n", + "state California Colorado \n", + "summit_elev 10067 12510 \n", + "vertical_drop 3500 4406 \n", + "base_elev 7170 8104 \n", + "trams 2 3 \n", + "fastEight 0.0 0.0 \n", + "fastSixes 2 1 \n", + "fastQuads 7 15 \n", + "quad 1 4 \n", + "triple 5 3 \n", + "double 3 5 \n", + "surface 8 9 \n", + "total_chairs 28 40 \n", + "Runs 97.0 336.0 \n", + "TerrainParks 3.0 10.0 \n", + "LongestRun_mi 5.5 5.3 \n", + "SkiableTerrain_ac 4800.0 5517.0 \n", + "Snow Making_ac 3379.0 658.0 \n", + "daysOpenLastYear 155.0 138.0 \n", + "yearsOpen 64.0 72.0 \n", + "averageSnowfall 360.0 300.0 \n", + "AdultWeekday NaN 179.0 \n", + "AdultWeekend NaN 179.0 \n", + "projectedDaysOpen 157.0 138.0 \n", + "NightSkiing_ac NaN NaN \n", + "\n", + " 39 45 140 231 \\\n", + "Name Silverton Mountain Vail Big Sky Resort Mt. Bachelor \n", + "Region Colorado Colorado Montana Oregon \n", + "state Colorado Colorado Montana Oregon \n", + "summit_elev 13487 11570 11166 9065 \n", + "vertical_drop 3087 3450 4350 3365 \n", + "base_elev 10400 8120 7500 5700 \n", + "trams 0 2 1 0 \n", + "fastEight 0.0 0.0 1.0 0.0 \n", + "fastSixes 0 3 2 0 \n", + "fastQuads 0 15 5 8 \n", + "quad 0 1 3 0 \n", + "triple 0 1 7 3 \n", + "double 1 0 5 0 \n", + "surface 0 9 12 0 \n", + "total_chairs 1 31 36 11 \n", + "Runs NaN 195.0 317.0 101.0 \n", + "TerrainParks NaN 3.0 8.0 5.0 \n", + "LongestRun_mi 1.5 4.0 6.0 4.0 \n", + "SkiableTerrain_ac 26819.0 5289.0 5800.0 4318.0 \n", + "Snow Making_ac NaN 461.0 400.0 20.0 \n", + "daysOpenLastYear 175.0 149.0 144.0 185.0 \n", + "yearsOpen 17.0 57.0 46.0 61.0 \n", + "averageSnowfall 400.0 354.0 400.0 462.0 \n", + "AdultWeekday 79.0 NaN NaN 99.0 \n", + "AdultWeekend 79.0 NaN NaN 99.0 \n", + "projectedDaysOpen 181.0 142.0 144.0 185.0 \n", + "NightSkiing_ac NaN NaN NaN NaN \n", + "\n", + " 266 267 \n", + "Name Park City Powder Mountain \n", + "Region Salt Lake City Utah \n", + "state Utah Utah \n", + "summit_elev 10000 9422 \n", + "vertical_drop 3200 2522 \n", + "base_elev 6800 6900 \n", + "trams 4 0 \n", + "fastEight 0.0 0.0 \n", + "fastSixes 6 0 \n", + "fastQuads 10 1 \n", + "quad 4 4 \n", + "triple 7 1 \n", + "double 4 0 \n", + "surface 6 3 \n", + "total_chairs 41 9 \n", + "Runs 341.0 167.0 \n", + "TerrainParks 8.0 2.0 \n", + "LongestRun_mi 3.5 3.5 \n", + "SkiableTerrain_ac 7300.0 8464.0 \n", + "Snow Making_ac 750.0 NaN \n", + "daysOpenLastYear 142.0 120.0 \n", + "yearsOpen 56.0 47.0 \n", + "averageSnowfall 355.0 500.0 \n", + "AdultWeekday NaN 88.0 \n", + "AdultWeekend NaN 88.0 \n", + "projectedDaysOpen 143.0 146.0 \n", + "NightSkiing_ac NaN 300.0 " + ] + }, + "execution_count": 94, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "#Code task 20#\n", "#Now you know there's only one, print the whole row to investigate all values, including seeing the resort name\n", "#Hint: don't forget the transpose will be helpful here\n", - "ski_data[ski_data.___ > ___].___" + "ski_data[ski_data.SkiableTerrain_ac > 4000].T" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "**A: 2** Your answer here" + "**A: 2** Your answer here\n", + "\n", + "**Becky's Answer:** Silverton Mountain" ] }, { @@ -1167,7 +3080,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "![Silverton Mountain information](images/silverton_mountain_info.png)" + "![Silverton Mountain Info](../images/silverton_mountain_info.png)" ] }, { @@ -1179,35 +3092,57 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 100, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "26819.0" + ] + }, + "execution_count": 100, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "#Code task 21#\n", "#Use the .loc accessor to print the 'SkiableTerrain_ac' value only for this resort\n", - "ski_data.___[39, 'SkiableTerrain_ac']" + "ski_data.loc[39, 'SkiableTerrain_ac']" ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 101, "metadata": {}, "outputs": [], "source": [ "#Code task 22#\n", "#Use the .loc accessor again to modify this value with the correct value of 1819\n", - "ski_data.___[39, 'SkiableTerrain_ac'] = ___" + "ski_data.loc[39, 'SkiableTerrain_ac'] = 1819" ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 102, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "1819.0" + ] + }, + "execution_count": 102, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "#Code task 23#\n", "#Use the .loc accessor a final time to verify that the value has been modified\n", - "ski_data.___[39, 'SkiableTerrain_ac']" + "ski_data.loc[39, 'SkiableTerrain_ac']" ] }, { @@ -1226,19 +3161,17 @@ }, { "cell_type": "code", - "execution_count": 30, + "execution_count": 105, "metadata": {}, "outputs": [ { "data": { - "image/png": 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\n", 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", "text/plain": [ - "
" + "
" ] }, - "metadata": { - "needs_background": "light" - }, + "metadata": {}, "output_type": "display_data" } ], @@ -1265,7 +3198,7 @@ }, { "cell_type": "code", - "execution_count": 31, + "execution_count": 108, "metadata": {}, "outputs": [ { @@ -1276,7 +3209,7 @@ "Name: Snow Making_ac, dtype: float64" ] }, - "execution_count": 31, + "execution_count": 108, "metadata": {}, "output_type": "execute_result" } @@ -1287,7 +3220,7 @@ }, { "cell_type": "code", - "execution_count": 32, + "execution_count": 109, "metadata": {}, "outputs": [ { @@ -1345,7 +3278,7 @@ " \n", " \n", " fastEight\n", - " 0\n", + " 0.0\n", " \n", " \n", " fastSixes\n", @@ -1377,11 +3310,11 @@ " \n", " \n", " Runs\n", - " 97\n", + " 97.0\n", " \n", " \n", " TerrainParks\n", - " 3\n", + " 3.0\n", " \n", " \n", " LongestRun_mi\n", @@ -1389,23 +3322,23 @@ " \n", " \n", " SkiableTerrain_ac\n", - " 4800\n", + " 4800.0\n", " \n", " \n", " Snow Making_ac\n", - " 3379\n", + " 3379.0\n", " \n", " \n", " daysOpenLastYear\n", - " 155\n", + " 155.0\n", " \n", " \n", " yearsOpen\n", - " 64\n", + " 64.0\n", " \n", " \n", " averageSnowfall\n", - " 360\n", + " 360.0\n", " \n", " \n", " AdultWeekday\n", @@ -1417,7 +3350,7 @@ " \n", " \n", " projectedDaysOpen\n", - " 157\n", + " 157.0\n", " \n", " \n", " NightSkiing_ac\n", @@ -1436,7 +3369,7 @@ "vertical_drop 3500\n", "base_elev 7170\n", "trams 2\n", - "fastEight 0\n", + "fastEight 0.0\n", "fastSixes 2\n", "fastQuads 7\n", "quad 1\n", @@ -1444,21 +3377,21 @@ "double 3\n", "surface 8\n", "total_chairs 28\n", - "Runs 97\n", - "TerrainParks 3\n", + "Runs 97.0\n", + "TerrainParks 3.0\n", "LongestRun_mi 5.5\n", - "SkiableTerrain_ac 4800\n", - "Snow Making_ac 3379\n", - "daysOpenLastYear 155\n", - "yearsOpen 64\n", - "averageSnowfall 360\n", + "SkiableTerrain_ac 4800.0\n", + "Snow Making_ac 3379.0\n", + "daysOpenLastYear 155.0\n", + "yearsOpen 64.0\n", + "averageSnowfall 360.0\n", "AdultWeekday NaN\n", "AdultWeekend NaN\n", - "projectedDaysOpen 157\n", + "projectedDaysOpen 157.0\n", "NightSkiing_ac NaN" ] }, - "execution_count": 32, + "execution_count": 109, "metadata": {}, "output_type": "execute_result" } @@ -1471,7 +3404,9 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "You can adopt a similar approach as for the suspect skiable area value and do some spot checking. To save time, here is a link to the website for [Heavenly Mountain Resort](https://www.skiheavenly.com/the-mountain/about-the-mountain/mountain-info.aspx). From this you can glean that you have values for skiable terrain that agree. Furthermore, you can read that snowmaking covers 60% of the trails." + "You can adopt a similar approach as for the suspect skiable area value and do some spot checking. To save time, here is a link to the website for [Heavenly Mountain Resort](https://www.skiheavenly.com/the-mountain/about-the-mountain/mountain-info.aspx). From this you can glean that you have values for skiable terrain that agree. Furthermore, you can read that snowmaking covers 60% of the trails.\n", + "\n", + "**Becky's Question:** - Where can I find that snowmaking covers 60% of the trails? I don't see this info anywhere. " ] }, { @@ -1481,129 +3416,257 @@ "What, then, is your rough guess for the area covered by snowmaking?" ] }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + ".6 * 4800\n", + "\n", + "**Becky's Answer:** 2880" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "This is less than the value of 3379 in your data so you may have a judgement call to make. However, notice something else. You have no ticket pricing information at all for this resort. Any further effort spent worrying about values for this resort will be wasted. You'll simply be dropping the entire row!" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "##### 2.6.4.2.3 fastEight" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Look at the different fastEight values more closely:" + ] + }, + { + "cell_type": "code", + "execution_count": 116, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "fastEight\n", + "0.0 163\n", + "1.0 1\n", + "Name: count, dtype: int64" + ] + }, + "execution_count": 116, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "ski_data.fastEight.value_counts()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Drop the fastEight column in its entirety; half the values are missing and all but the others are the value zero. There is essentially no information in this column." + ] + }, + { + "cell_type": "code", + "execution_count": 118, + "metadata": {}, + "outputs": [], + "source": [ + "#Code task 24#\n", + "#Drop the 'fastEight' column from ski_data. Use inplace=True\n", + "ski_data.drop(columns='fastEight', inplace=True)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "What about yearsOpen? How many resorts have purportedly been open for more than 100 years?" + ] + }, { "cell_type": "code", - "execution_count": 33, + "execution_count": 120, "metadata": {}, "outputs": [ { "data": { + "text/html": [ + "
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NameRegionstatesummit_elevvertical_dropbase_elevtramsfastSixesfastQuadsquad...LongestRun_miSkiableTerrain_acSnow Making_acdaysOpenLastYearyearsOpenaverageSnowfallAdultWeekdayAdultWeekendprojectedDaysOpenNightSkiing_ac
34Howelsen HillColoradoColorado713644066960000...6.050.025.0100.0104.0150.025.025.0100.010.0
115Pine Knob Ski ResortMichiganMichigan130830010090000...1.080.080.0NaN2019.0NaN49.057.0NaNNaN
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2 rows × 26 columns

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" + ], "text/plain": [ - "2880.0" + " Name Region state summit_elev vertical_drop \\\n", + "34 Howelsen Hill Colorado Colorado 7136 440 \n", + "115 Pine Knob Ski Resort Michigan Michigan 1308 300 \n", + "\n", + " base_elev trams fastSixes fastQuads quad ... LongestRun_mi \\\n", + "34 6696 0 0 0 0 ... 6.0 \n", + "115 1009 0 0 0 0 ... 1.0 \n", + "\n", + " SkiableTerrain_ac Snow Making_ac daysOpenLastYear yearsOpen \\\n", + "34 50.0 25.0 100.0 104.0 \n", + "115 80.0 80.0 NaN 2019.0 \n", + "\n", + " averageSnowfall AdultWeekday AdultWeekend projectedDaysOpen \\\n", + "34 150.0 25.0 25.0 100.0 \n", + "115 NaN 49.0 57.0 NaN \n", + "\n", + " NightSkiing_ac \n", + "34 10.0 \n", + "115 NaN \n", + "\n", + "[2 rows x 26 columns]" ] }, - "execution_count": 33, + "execution_count": 120, "metadata": {}, "output_type": "execute_result" } ], "source": [ - ".6 * 4800" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "This is less than the value of 3379 in your data so you may have a judgement call to make. However, notice something else. You have no ticket pricing information at all for this resort. Any further effort spent worrying about values for this resort will be wasted. You'll simply be dropping the entire row!" + "#Code task 25#\n", + "#Filter the 'yearsOpen' column for values greater than 100\n", + "ski_data.loc[ski_data.yearsOpen > 100]" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "##### 2.6.4.2.3 fastEight" + "Okay, one seems to have been open for 104 years. But beyond that, one is down as having been open for 2019 years. This is wrong! What shall you do about this?" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "Look at the different fastEight values more closely:" + "What does the distribution of yearsOpen look like if you exclude just the obviously wrong one?" ] }, { "cell_type": "code", - "execution_count": 34, + "execution_count": 123, "metadata": {}, "outputs": [ { "data": { + "image/png": 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tWk2cOFGpqamKj4/XNddcU+Z9IiMjVVRUpF9//dUt0BhjlJ2d7drjU8qb50yDBg0UEhKiN998s8xtVsfvtirbKT3Z9pJLLtGQIUPUsWNH1atXT9L/nXu2d+/eStcRHBzs8fqQ/niN/LmGyMjICvtXHerVqyebzVbm+TGV2U7pJdSfffaZPv74Y3Xp0sVjzqWXXipJ2rx5s1q2bOkaLyoq0g8//KA777yzCo/gjxOQFy1apJycHGVnZ6tJkyYKCQnR9OnTdcstt1RpnSgfe2bgld27d2vEiBGKiIgo8wqYsgQGBqpdu3Z66aWXJMm1+96bvRGVsXXrVn333XduYxkZGQoLC3PtYSi9ouLUE+/mz5/vsT5v/pou1aVLF61YscIVKkr97//+r0JDQ3X11Vd7+zDKVbt2bbVr105z5851q6ukpESzZ89Wo0aNPA7XVMaQIUO0cOFCjR49WlFRUbr11lvdlvfo0UNbtmxRs2bN1LZtW4+f0jBjs9kUFBTktqfg+PHj+ve//12luhwOh5KSkjRp0iRJ0rffflvu3NJ/pE4NYh9++KGOHTvm8Y+YN8+ZHj166Oeff1ZkZGSZj7u6PgyuMtt5/fXXNXv2bE2bNk3z58/X4cOH3a7CufDCC9WsWTO9+eabZQaTisTHx3u8Pn788UePQ5idO3cut3/VpXbt2mrbtq0++ugj18m00h9X4Xl7hVjpHpkVK1boww8/VNeuXcuc165dO8XExOitt95yG//ggw909OhRj8+aqayGDRuqVatWioiI0CuvvKJjx45V6mRpeIc9M/CwZcsW13H7nJwcffnll5o5c6YCAwM1b948j135f/bKK69oxYoV6t69uxo3bqwTJ064/uK84YYbJElhYWFq0qSJ6y+l+vXrq0GDBlX+xyE2NlZ/+9vf5HQ6FRMTo9mzZyszM1OTJk1SaGiopD/Oxbjooos0YsQIFRUVqV69epo3b55WrVrlsb5LL71Uc+fO1csvv6w2bdooICBAbdu2LXPb48aNc51TMnbsWNWvX19vv/22Fi5c6HGV0JmYOHGikpOT1blzZ40YMUK1atXS9OnTtWXLFr3zzjtVOq5f6u6779bo0aP1xRdf6IknnnA7R0GSJkyYoMzMTLVv315DhgzRRRddpBMnTmjnzp1atGiRXnnlFTVq1Ejdu3fXlClTlJqaqocfflgHDx7Uc889V+4VVWUZO3as9u7dqy5duqhRo0Y6fPiwXnjhBdnt9go//C85OVldu3bVqFGjlJubqw4dOriuZrr88svVt29ft/nePGfS0tL04Ycf6rrrrtOwYcPUqlUrlZSUaPfu3Vq2bJn+53/+x+OQRVV4u53NmzdryJAh6tevnyvAvPHGG7rllls0depU16XXL730knr27Kmrr75aw4YNU+PGjbV7924tXbpUb7/9drl19O3bV3fffbcGDBigv//979q1a5cmT57s8XpPS0vTm2++qe7du+upp55yXc30ww8/nHEv/mzChAnq3r27unbtqqFDh6q4uFjPPvus6tSpo99///2097/lllu0ePFijRkzRpGRkVq7dq1rWXh4uGsvTGBgoCZPnqy+ffuqf//+uvPOO/XTTz9p5MiRSk5O1o033ui23sWLF+vYsWOuS9G///57ffDBB5L+uOKz9Pnz2muvSfrj0Pvhw4e1ePFivfHGG0pPT3c7jItq4sOTj+FnSq9wKP2pVauWadiwoUlKSjLp6ekmJyfH4z6nXmG0Zs0ac/PNN5smTZoYh8NhIiMjTVJSkpk/f77b/T799FNz+eWXG4fDYSS5rqIoXd+vv/562m0Z838fmvfBBx+YSy65xNSqVcvEx8ebKVOmeNz/xx9/NCkpKSY8PNycd955ZvDgwWbhwoUeV2D8/vvv5pZbbjF169Y1NpvNbZsq4+qFzZs3m549e5qIiAhTq1Ytc9lll5mZM2e6zSm9mun99993Gy+9+ujU+WX58ssvzfXXX29q165tQkJCzNVXX20++eSTMtfnzdVMf3bvvfeaoKAgs3fv3jKX//rrr2bIkCEmISHB2O12U79+fdOmTRszZswYc/ToUde8N99801x00UXG4XCYpk2bmokTJ5o33nijzCtnyvqwwwULFpibbrrJnH/++a7nX7du3cyXX3552sdw/PhxM2rUKNOkSRNjt9tNTEyMefTRR82hQ4fc5lXmOXP06FHzxBNPmIsuusjUqlXLREREmEsvvdQMGzbM7cMjJZmBAwd63L+8K4Qqu52jR4+aiy++2LRs2dLjQyQHDhxo7Ha7+frrr11ja9asMTfddJOJiIgwDofDNGvWzAwbNsy1vKyrmUpKSszkyZNN06ZNTXBwsGnbtq1ZsWKFx9VMxhjz/fffm+TkZBMcHGzq169vHnjgAfPxxx97fTWTt72aN2+eufTSS02tWrVM48aNzTPPPGOGDBli6tWrd9qe/vm97NSfUx+PMX98oF2rVq1MrVq1THR0tBkyZIjbVU9/rrO89f65n6+++qpp0aKFCQ0NNXXq1DEdO3Y0H3300WnrRtXYjDnN5SkAzmknT55UfHy8rr32Wr333nu+Luesi4+PV2JioteHK+A/CgsLXSfQVtfn5uDcwGEm4C/q119/1fbt2zVz5kwdOHBAjz32mK9LAtw88MADSk5OVkxMjLKzs/XKK69o27Ztlb46Euc+wgzwF7Vw4ULdd999iomJ0fTp0zmOD7+Tl5enESNG6Ndff5XdbtcVV1yhRYsWuc6/A0pxmAkAAFgal2YDAABLI8wAAABLI8wAAABLO+dPAC4pKdEvv/yisLCwM/pgMQAAUHOMMcrLy1NsbOxpv5zznA8zv/zyi8c3GgMAAGvYs2fPab889ZwPM6VfM79nzx6Fh4f7uJpzS2FhoZYtW6aUlBTZ7XZfl3POo981i37XLPpds6zQ79zcXMXFxbn+Ha/IOR9mSg8thYeHE2aqWWFhoUJDQxUeHu63L4ZzCf2uWfS7ZtHvmmWlfntziggnAAMAAEsjzAAAAEsjzAAAAEsjzAAAAEsjzAAAAEsjzAAAAEsjzAAAAEsjzAAAAEsjzAAAAEsjzAAAAEsjzAAAAEsjzAAAAEsjzAAAAEsjzAAAAEsjzAAAAEsL8nUBAHAm4h9bWOX77nymezVWAsBXfL5nZt++fbr77rsVGRmp0NBQtW7dWuvXr3ctN8bI6XQqNjZWISEh6tSpk7Zu3erDigEAgD/xaZg5dOiQOnToILvdrsWLF+v777/X888/r7p167rmTJ48WVOmTNG0adOUlZWl6OhoJScnKy8vz3eFAwAAv+HTw0yTJk1SXFycZs6c6RqLj493/b8xRlOnTtWYMWPUp08fSdKsWbMUFRWljIwM9e/fv6ZLBgAAfsanYWb+/Pnq2rWrbr31Vq1cuVLnn3++BgwYoIceekiStGPHDmVnZyslJcV1H4fDoaSkJK1evbrMMFNQUKCCggLX7dzcXElSYWGhCgsLz/Ij+msp7Sd9rRn0u2yOQFPl+1bUS/pds+h3zbJCvytTm80YU/V3gjMUHBwsSRo+fLhuvfVWffPNN0pLS9Orr76qe+65R6tXr1aHDh20b98+xcbGuu738MMPa9euXVq6dKnHOp1Op8aPH+8xnpGRodDQ0LP3YAAAQLXJz89Xamqqjhw5ovDw8Arn+nTPTElJidq2bav09HRJ0uWXX66tW7fq5Zdf1j333OOaZ7PZ3O5njPEYKzV69GgNHz7cdTs3N1dxcXFKSUk5bTNQOYWFhcrMzFRycrLsdruvyznn0e+yJTo9/6jx1hZn13KX0e+aRb9rlhX6XXpkxRs+DTMxMTFq2bKl21iLFi304YcfSpKio6MlSdnZ2YqJiXHNycnJUVRUVJnrdDgccjgcHuN2u91vf2FWR29rFv12V1Bc9h823vCmj/S7ZtHvmuXP/a5MXT69mqlDhw7avn2729iPP/6oJk2aSJISEhIUHR2tzMxM1/KTJ09q5cqVat++fY3WCgAA/JNP98wMGzZM7du3V3p6um677TZ98803mjFjhmbMmCHpj8NLaWlpSk9PV/PmzdW8eXOlp6crNDRUqampviwdAAD4CZ+GmSuvvFLz5s3T6NGjNWHCBCUkJGjq1Km66667XHNGjhyp48ePa8CAATp06JDatWunZcuWKSwszIeVAwAAf+HzrzPo0aOHevToUe5ym80mp9Mpp9NZc0UBAADL8PnXGQAAAJwJwgwAALA0wgwAALA0wgwAALA0wgwAALA0wgwAALA0wgwAALA0wgwAALA0wgwAALA0wgwAALA0wgwAALA0wgwAALA0wgwAALA0wgwAALA0wgwAALA0wgwAALA0wgwAALA0wgwAALA0wgwAALA0wgwAALA0wgwAALA0wgwAALA0wgwAALA0wgwAALA0wgwAALA0wgwAALA0wgwAALA0wgwAALA0wgwAALA0wgwAALA0wgwAALA0wgwAALA0wgwAALA0wgwAALA0wgwAALA0wgwAALA0wgwAALA0wgwAALA0wgwAALA0wgwAALA0wgwAALA0wgwAALA0wgwAALA0wgwAALA0wgwAALA0wgwAALA0wgwAALA0n4YZp9Mpm83m9hMdHe1aboyR0+lUbGysQkJC1KlTJ23dutWHFQMAAH/j8z0zl1xyifbv3+/62bx5s2vZ5MmTNWXKFE2bNk1ZWVmKjo5WcnKy8vLyfFgxAADwJz4PM0FBQYqOjnb9nHfeeZL+2CszdepUjRkzRn369FFiYqJmzZql/Px8ZWRk+LhqAADgL4J8XcBPP/2k2NhYORwOtWvXTunp6WratKl27Nih7OxspaSkuOY6HA4lJSVp9erV6t+/f5nrKygoUEFBget2bm6uJKmwsFCFhYVn98H8xZT2k77WDPpdNkegqfJ9K+ol/a5Z9LtmWaHflanNZoyp+jvBGVq8eLHy8/N14YUX6sCBA3rqqaf0ww8/aOvWrdq+fbs6dOigffv2KTY21nWfhx9+WLt27dLSpUvLXKfT6dT48eM9xjMyMhQaGnrWHgsAAKg++fn5Sk1N1ZEjRxQeHl7hXJ+GmVMdO3ZMzZo108iRI3X11VerQ4cO+uWXXxQTE+Oa89BDD2nPnj1asmRJmesoa89MXFycfvvtt9M2A5VTWFiozMxMJScny263+7qccx79Lluis+w/bLyxxdm13GX0u2bR75plhX7n5uaqQYMGXoUZnx9m+rPatWvr0ksv1U8//aTevXtLkrKzs93CTE5OjqKiospdh8PhkMPh8Bi32+1++wuzOnpbs+i3u4JiW5Xv600f6XfNot81y5/7XZm6fH4C8J8VFBRo27ZtiomJUUJCgqKjo5WZmelafvLkSa1cuVLt27f3YZUAAMCf+HTPzIgRI9SzZ081btxYOTk5euqpp5Sbm6t+/frJZrMpLS1N6enpat68uZo3b6709HSFhoYqNTXVl2UDAAA/4tMws3fvXt1555367bffdN555+nqq6/W2rVr1aRJE0nSyJEjdfz4cQ0YMECHDh1Su3bttGzZMoWFhfmybAAA4Ed8GmbmzJlT4XKbzSan0ymn01kzBQEAAMvxq3NmAAAAKoswAwAALI0wAwAALI0wAwAALI0wAwAALI0wAwAALI0wAwAALI0wAwAALI0wAwAALI0wAwAALI0wAwAALI0wAwAALI0wAwAALI0wAwAALI0wAwAALI0wAwAALI0wAwAALI0wAwAALI0wAwAALI0wAwAALI0wAwAALI0wAwAALI0wAwAALI0wAwAALI0wAwAALI0wAwAALI0wAwAALI0wAwAALI0wAwAALI0wAwAALI0wAwAALI0wAwAALI0wAwAALI0wAwAALI0wAwAALI0wAwAALI0wAwAALI0wAwAALI0wAwAALI0wAwAALI0wAwAALI0wAwAALI0wAwAALI0wAwAALI0wAwAALI0wAwAALI0wAwAALM1vwszEiRNls9mUlpbmGjPGyOl0KjY2ViEhIerUqZO2bt3quyIBAIDf8Yswk5WVpRkzZqhVq1Zu45MnT9aUKVM0bdo0ZWVlKTo6WsnJycrLy/NRpQAAwN/4PMwcPXpUd911l1577TXVq1fPNW6M0dSpUzVmzBj16dNHiYmJmjVrlvLz85WRkeHDigEAgD8J8nUBAwcOVPfu3XXDDTfoqaeeco3v2LFD2dnZSklJcY05HA4lJSVp9erV6t+/f5nrKygoUEFBget2bm6uJKmwsFCFhYVn6VH8NZX2k77WDPpdNkegqfJ9K+ol/a5Z9LtmWaHflanNp2Fmzpw52rBhg7KysjyWZWdnS5KioqLcxqOiorRr165y1zlx4kSNHz/eY3zZsmUKDQ09w4pRlszMTF+X8JdCv91Nvqrq9120aNFp59DvmkW/a5Y/9zs/P9/ruT4LM3v27NHQoUO1bNkyBQcHlzvPZrO53TbGeIz92ejRozV8+HDX7dzcXMXFxSklJUXh4eFnXjhcCgsLlZmZqeTkZNntdl+Xc86j32VLdC6t8n23OLuWu4x+1yz6XbOs0O/SIyve8FmYWb9+vXJyctSmTRvXWHFxsb744gtNmzZN27dvl/THHpqYmBjXnJycHI+9NX/mcDjkcDg8xu12u9/+wqyO3tYs+u2uoLj8P25Ox5s+0u+aRb9rlj/3uzJ1+ewE4C5dumjz5s3auHGj66dt27a66667tHHjRjVt2lTR0dFuu8BOnjyplStXqn379r4qGwAA+Bmf7ZkJCwtTYmKi21jt2rUVGRnpGk9LS1N6erqaN2+u5s2bKz09XaGhoUpNTfVFyQAAwA/5/GqmiowcOVLHjx/XgAEDdOjQIbVr107Lli1TWFiYr0sDAAB+wq/CzOeff+5222azyel0yul0+qQeAADg/3z+oXkAAABngjADAAAsjTADAAAsjTADAAAsjTADAAAsjTADAAAsjTADAAAsjTADAAAsjTADAAAsjTADAAAsjTADAAAsjTADAAAsjTADAAAsjTADAAAsjTADAAAsjTADAAAsjTADAAAsjTADAAAsjTADAAAsjTADAAAsjTADAAAsrUphpmnTpjp48KDH+OHDh9W0adMzLgoAAMBbVQozO3fuVHFxscd4QUGB9u3bd8ZFAQAAeCuoMpPnz5/v+v+lS5cqIiLCdbu4uFjLly9XfHx8tRUHAABwOpUKM71795Yk2Ww29evXz22Z3W5XfHy8nn/++WorDgAA4HQqFWZKSkokSQkJCcrKylKDBg3OSlEAAADeqlSYKbVjx47qrgMAAKBKqhRmJGn58uVavny5cnJyXHtsSr355ptnXBgAAIA3qhRmxo8frwkTJqht27aKiYmRzWar7roAAAC8UqUw88orr+itt95S3759q7seAACASqnS58ycPHlS7du3r+5aAAAAKq1KYebBBx9URkZGddcCAABQaVU6zHTixAnNmDFDn376qVq1aiW73e62fMqUKdVSHAAAwOlUKcxs2rRJrVu3liRt2bLFbRknAwMAgJpUpTDz2WefVXcdAAAAVVKlc2YAAAD8RZX2zHTu3LnCw0krVqyockEAAACVUaUwU3q+TKnCwkJt3LhRW7Zs8fgCSgAAgLOpSmHmn//8Z5njTqdTR48ePaOCAAAAKqPK381UlrvvvltXXXWVnnvuuepcLQCcFfGPLSx3mSPQaPJVUqJzqQqKPQ+r73ym+9ksDUAlVOsJwGvWrFFwcHB1rhIAAKBCVdoz06dPH7fbxhjt379f69at05NPPlkthQEAAHijSmEmIiLC7XZAQIAuuugiTZgwQSkpKdVSGAAAgDeqFGZmzpxZ3XUAAABUyRmdALx+/Xpt27ZNNptNLVu21OWXX15ddQEAAHilSmEmJydHd9xxhz7//HPVrVtXxhgdOXJEnTt31pw5c3TeeedVd50AAABlqtLVTIMHD1Zubq62bt2q33//XYcOHdKWLVuUm5urIUOGeL2el19+Wa1atVJ4eLjCw8N1zTXXaPHixa7lxhg5nU7FxsYqJCREnTp10tatW6tSMgAAOEdVKcwsWbJEL7/8slq0aOEaa9mypV566SW3MHI6jRo10jPPPKN169Zp3bp1uv7669WrVy9XYJk8ebKmTJmiadOmKSsrS9HR0UpOTlZeXl5VygYAAOegKoWZkpIS2e12j3G73a6SkhKv19OzZ09169ZNF154oS688EI9/fTTqlOnjtauXStjjKZOnaoxY8aoT58+SkxM1KxZs5Sfn6+MjIyqlA0AAM5BVQoz119/vYYOHapffvnFNbZv3z4NGzZMXbp0qVIhxcXFmjNnjo4dO6ZrrrlGO3bsUHZ2ttul3g6HQ0lJSVq9enWVtgEAAM49VToBeNq0aerVq5fi4+MVFxcnm82m3bt369JLL9Xs2bMrta7Nmzfrmmuu0YkTJ1SnTh3NmzdPLVu2dAWWqKgot/lRUVHatWtXuesrKChQQUGB63Zubq6kP74Ms7CwsFK1oWKl/aSvNYN+l80RaM7OegOM239Pxe+hevH8rllW6HdlarMZY6r8TpCZmakffvhBxhi1bNlSN9xwQ6XXcfLkSe3evVuHDx/Whx9+qNdff10rV67U4cOH1aFDB/3yyy+KiYlxzX/ooYe0Z88eLVmypMz1OZ1OjR8/3mM8IyNDoaGhla4PAADUvPz8fKWmpurIkSMKDw+vcG6lwsyKFSs0aNAgrV271mPFR44cUfv27fXKK6+oY8eOVatc0g033KBmzZpp1KhRatasmTZs2OD2+TW9evVS3bp1NWvWrDLvX9aembi4OP3222+nbQYqp7CwUJmZmUpOTi7zHCpUL/pdtkTn0rOyXkeA0T/alujJdQEqKPH8osktzq5nZbt/VTy/a5YV+p2bm6sGDRp4FWYqdZhp6tSpeuihh8pcaUREhPr3768pU6acUZgxxqigoEAJCQmKjo5WZmamK8ycPHlSK1eu1KRJk8q9v8PhkMPh8Bi32+1++wuzOnpbs+i3u7K+0bpa119iK3Mb/A7ODp7fNcuf+12Zuip1AvB3332nG2+8sdzlKSkpWr9+vdfre/zxx/Xll19q586d2rx5s8aMGaPPP/9cd911l2w2m9LS0pSenq558+Zpy5YtuvfeexUaGqrU1NTKlA0AAM5hldozc+DAgQqTUlBQkH799ddKra9v377av3+/IiIi1KpVKy1ZskTJycmSpJEjR+r48eMaMGCADh06pHbt2mnZsmUKCwurTNkAAOAcVqkwc/7552vz5s264IILyly+adMmt5N1T+eNN96ocLnNZpPT6ZTT6axMmQAA4C+kUoeZunXrprFjx+rEiRMey44fP65x48apR48e1VYcAADA6VRqz8wTTzyhuXPn6sILL9SgQYN00UUXyWazadu2bXrppZdUXFysMWPGnK1aAQAAPFQqzERFRWn16tV69NFHNXr0aJVe1W2z2dS1a1dNnz7d40PuAAAAzqZKfwJwkyZNtGjRIh06dEj/+c9/ZIxR8+bNVa9evbNRHwAAQIWq9HUGklSvXj1deeWV1VkLAABApVU5zABAdYl/bKGvSwBgYVX61mwAAAB/QZgBAACWRpgBAACWRpgBAACWRpgBAACWRpgBAACWRpgBAACWRpgBAACWRpgBAACWRpgBAACWRpgBAACWxnczAQD81pl8b9fOZ7pXYyXwZ+yZAQAAlkaYAQAAlkaYAQAAlkaYAQAAlkaYAQAAlkaYAQAAlkaYAQAAlkaYAQAAlkaYAQAAlkaYAQAAlkaYAQAAlkaYAQAAlkaYAQAAlkaYAQAAlkaYAQAAlkaYAQAAlkaYAQAAlkaYAQAAlkaYAQAAlkaYAQAAlkaYAQAAlkaYAQAAlhbk6wIAAOe2+McWnnaOI9Bo8lVSonOpCoptNVAVziXsmQEAAJZGmAEAAJZGmAEAAJZGmAEAAJZGmAEAAJbG1UwAUAXeXKFTnp3PdK/GSgD4dM/MxIkTdeWVVyosLEwNGzZU7969tX37drc5xhg5nU7FxsYqJCREnTp10tatW31UMQAA8Dc+DTMrV67UwIEDtXbtWmVmZqqoqEgpKSk6duyYa87kyZM1ZcoUTZs2TVlZWYqOjlZycrLy8vJ8WDkAAPAXPj3MtGTJErfbM2fOVMOGDbV+/Xpdd911MsZo6tSpGjNmjPr06SNJmjVrlqKiopSRkaH+/fv7omwAAOBH/OqcmSNHjkiS6tevL0nasWOHsrOzlZKS4prjcDiUlJSk1atXlxlmCgoKVFBQ4Lqdm5srSSosLFRhYeHZLP8vp7Sf9LVmnMv9dgQaX5fgwRFg3P5bnc7F32FFvPn9no1+/9X6XBlWeD+pTG02Y4xfvIsYY9SrVy8dOnRIX375pSRp9erV6tChg/bt26fY2FjX3Icffli7du3S0qVLPdbjdDo1fvx4j/GMjAyFhoaevQcAAACqTX5+vlJTU3XkyBGFh4dXONdv9swMGjRImzZt0qpVqzyW2Wzu39NhjPEYKzV69GgNHz7cdTs3N1dxcXFKSUk5bTNQOYWFhcrMzFRycrLsdruvyznn1US/E52efyB4a4uzq0+2e7Y4Aoz+0bZET64LUEFJ9X5X0Jn0yoq8+f2ejX7/1fpcGVZ4/y49suINvwgzgwcP1vz58/XFF1+oUaNGrvHo6GhJUnZ2tmJiYlzjOTk5ioqKKnNdDodDDofDY9xut/vtL8zq6G3NOpv9PpMv+DuTmvz5iwULSmzVXt9f7fVSmf5VZ7//an2uCn9+/65MXT69mskYo0GDBmnu3LlasWKFEhIS3JYnJCQoOjpamZmZrrGTJ09q5cqVat++fU2XCwAA/JBP98wMHDhQGRkZ+vjjjxUWFqbs7GxJUkREhEJCQmSz2ZSWlqb09HQ1b95czZs3V3p6ukJDQ5WamurL0gEAgJ/waZh5+eWXJUmdOnVyG585c6buvfdeSdLIkSN1/PhxDRgwQIcOHVK7du20bNkyhYWF1XC1AADAH/k0zHhzIZXNZpPT6ZTT6Tz7BQEAAMvhiyYBAIClEWYAAIClEWYAAIClEWYAAIClEWYAAIClEWYAAIClEWYAAIClEWYAAIClEWYAAIClEWYAAIClEWYAAIClEWYAAIClEWYAAIClEWYAAIClEWYAAIClEWYAAIClEWYAAIClEWYAAIClEWYAAIClEWYAAIClEWYAAIClEWYAAIClBfm6AACA9+IfW1jl++58pns1VgL4D/bMAAAASyPMAAAASyPMAAAASyPMAAAASyPMAAAAS+NqJgDV4kyusvmroVdA9WLPDAAAsDTCDAAAsDTCDAAAsDTCDAAAsDTCDAAAsDTCDAAAsDTCDAAAsDTCDAAAsDTCDAAAsDTCDAAAsDS+zgA4x/BR+SjPmTw3dj7TvRorAaoXe2YAAIClEWYAAIClEWYAAIClEWYAAIClEWYAAIClEWYAAIClEWYAAICl+TTMfPHFF+rZs6diY2Nls9n00UcfuS03xsjpdCo2NlYhISHq1KmTtm7d6ptiAQCAX/JpmDl27Jguu+wyTZs2rczlkydP1pQpUzRt2jRlZWUpOjpaycnJysvLq+FKAQCAv/LpJwDfdNNNuummm8pcZozR1KlTNWbMGPXp00eSNGvWLEVFRSkjI0P9+/evyVIBAICf8tuvM9ixY4eys7OVkpLiGnM4HEpKStLq1avLDTMFBQUqKChw3c7NzZUkFRYWqrCw8OwW/RdT2k/6WjO87bcj0NREOec8R4Bx++9f3Zm8zr15Tp6NfvPeVD4rvH9XpjabMcYvXqk2m03z5s1T7969JUmrV69Whw4dtG/fPsXGxrrmPfzww9q1a5eWLl1a5nqcTqfGjx/vMZ6RkaHQ0NCzUjsAAKhe+fn5Sk1N1ZEjRxQeHl7hXL/dM1PKZrO53TbGeIz92ejRozV8+HDX7dzcXMXFxSklJeW0zfirSHSWHQS9scXZ1fX/hYWFyszMVHJysux2e3WUhgp42+8z+f3i/zgCjP7RtkRPrgtQQUn57zl/FX9+7VeWN8/Js9HvM6n5XGeF9+/SIyve8NswEx0dLUnKzs5WTEyMazwnJ0dRUVHl3s/hcMjhcHiM2+12v/2F1bSC4qq/UZTVQ3pbs07X7zP5/cJTQYmNnqrs1763KtO/6uw370un58/v35Wpy28/ZyYhIUHR0dHKzMx0jZ08eVIrV65U+/btfVgZAADwJz7dM3P06FH95z//cd3esWOHNm7cqPr166tx48ZKS0tTenq6mjdvrubNmys9PV2hoaFKTU31YdUAAMCf+DTMrFu3Tp07d3bdLj3XpV+/fnrrrbc0cuRIHT9+XAMGDNChQ4fUrl07LVu2TGFhYb4qGQAA+BmfhplOnTqpooupbDabnE6nnE5nzRUFAAAsxW/PmQEAAPAGYQYAAFgaYQYAAFgaYQYAAFgaYQYAAFia334CMGB18Y8trPJ9dz7TvRorAYBzG3tmAACApRFmAACApRFmAACApRFmAACApXECMOCHyjp52BFoNPkqKdG5VAXFNh9UBQD+iT0zAADA0ggzAADA0ggzAADA0ggzAADA0ggzAADA0riaCajAmXwlAQCgZrBnBgAAWBphBgAAWBphBgAAWBphBgAAWBphBgAAWBphBgAAWBphBgAAWBphBgAAWBphBgAAWBphBgAAWBphBgAAWBphBgAAWBphBgAAWBphBgAAWBphBgAAWBphBgAAWFqQrwuwuvjHFlb5vjuf6V6NlQAA/oz3578O9swAAABLI8wAAABLI8wAAABLI8wAAABLI8wAAABL42omizqTs/Sra7uOQKPJV0mJzqUqKLb5pB5vcFUCcOZ89Z4DeIM9MwAAwNIIMwAAwNIIMwAAwNIIMwAAwNIIMwAAwNK4msmHuDqgZtBnAFbhq++Tsvr3WFliz8z06dOVkJCg4OBgtWnTRl9++aWvSwIAAH7C78PMu+++q7S0NI0ZM0bffvutOnbsqJtuukm7d+/2dWkAAMAP+H2YmTJlih544AE9+OCDatGihaZOnaq4uDi9/PLLvi4NAAD4Ab8OMydPntT69euVkpLiNp6SkqLVq1f7qCoAAOBP/PoE4N9++03FxcWKiopyG4+KilJ2dnaZ9ykoKFBBQYHr9pEjRyRJv//+uwoLC6u9xqCiY9W+TqsIKjHKzy9RUGGAikv89+sMzhX0u2bR75rlb/0+ePCgT7Z7Jv+mVKbmwsJC5efn6+DBg7Lb7TW23crIy8uTJBljTjvXr8NMKZvN/YltjPEYKzVx4kSNHz/eYzwhIeGs1PZXl+rrAv5i6HfNot81y5/63eB5X1dQeb6q+WxvNy8vTxERERXO8esw06BBAwUGBnrshcnJyfHYW1Nq9OjRGj58uOt2SUmJfv/9d0VGRpYbgFA1ubm5iouL0549exQeHu7rcs559Ltm0e+aRb9rlhX6bYxRXl6eYmNjTzvXr8NMrVq11KZNG2VmZurmm292jWdmZqpXr15l3sfhcMjhcLiN1a1b92yW+ZcXHh7uty+GcxH9rln0u2bR75rl7/0+3R6ZUn4dZiRp+PDh6tu3r9q2batrrrlGM2bM0O7du/XII4/4ujQAAOAH/D7M3H777Tp48KAmTJig/fv3KzExUYsWLVKTJk18XRoAAPADfh9mJGnAgAEaMGCAr8vAKRwOh8aNG+dxWA9nB/2uWfS7ZtHvmnWu9dtmvLnmCQAAwE/59YfmAQAAnA5hBgAAWBphBgAAWBphBgAAWBphBhWaOHGirrzySoWFhalhw4bq3bu3tm/f7jbHGCOn06nY2FiFhISoU6dO2rp1q48qPrdMnDhRNptNaWlprjH6Xb327dunu+++W5GRkQoNDVXr1q21fv1613L6XX2Kior0xBNPKCEhQSEhIWratKkmTJigkpIS1xz6XXVffPGFevbsqdjYWNlsNn300Uduy73pbUFBgQYPHqwGDRqodu3a+tvf/qa9e/fW4KOoGsIMKrRy5UoNHDhQa9euVWZmpoqKipSSkqJjx/7vS8kmT56sKVOmaNq0acrKylJ0dLSSk5NdXxKGqsnKytKMGTPUqlUrt3H6XX0OHTqkDh06yG63a/Hixfr+++/1/PPPu31qOP2uPpMmTdIrr7yiadOmadu2bZo8ebKeffZZ/etf/3LNod9Vd+zYMV122WWaNm1amcu96W1aWprmzZunOXPmaNWqVTp69Kh69Oih4uLimnoYVWOASsjJyTGSzMqVK40xxpSUlJjo6GjzzDPPuOacOHHCREREmFdeecVXZVpeXl6ead68ucnMzDRJSUlm6NChxhj6Xd1GjRplrr322nKX0+/q1b17d3P//fe7jfXp08fcfffdxhj6XZ0kmXnz5rlue9Pbw4cPG7vdbubMmeOas2/fPhMQEGCWLFlSY7VXBXtmUClHjhyRJNWvX1+StGPHDmVnZyslJcU1x+FwKCkpSatXr/ZJjeeCgQMHqnv37rrhhhvcxul39Zo/f77atm2rW2+9VQ0bNtTll1+u1157zbWcfleva6+9VsuXL9ePP/4oSfruu++0atUqdevWTRL9Ppu86e369etVWFjoNic2NlaJiYl+339LfAIw/IMxRsOHD9e1116rxMRESXJ9o/mp32IeFRWlXbt21XiN54I5c+Zow4YNysrK8lhGv6vXf//7X7388ssaPny4Hn/8cX3zzTcaMmSIHA6H7rnnHvpdzUaNGqUjR47o4osvVmBgoIqLi/X000/rzjvvlMTz+2zyprfZ2dmqVauW6tWr5zGn9P7+ijADrw0aNEibNm3SqlWrPJbZbDa328YYjzGc3p49ezR06FAtW7ZMwcHB5c6j39WjpKREbdu2VXp6uiTp8ssv19atW/Xyyy/rnnvucc2j39Xj3Xff1ezZs5WRkaFLLrlEGzduVFpammJjY9WvXz/XPPp99lSlt1boP4eZ4JXBgwdr/vz5+uyzz9SoUSPXeHR0tCR5pPacnByPvwBweuvXr1dOTo7atGmjoKAgBQUFaeXKlXrxxRcVFBTk6in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"text/plain": [ - "0.0 163\n", - "1.0 1\n", - "Name: fastEight, dtype: int64" + "
" ] }, - "execution_count": 34, "metadata": {}, - "output_type": "execute_result" + "output_type": "display_data" } ], - "source": [ - "ski_data.fastEight.value_counts()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Drop the fastEight column in its entirety; half the values are missing and all but the others are the value zero. There is essentially no information in this column." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "#Code task 24#\n", - "#Drop the 'fastEight' column from ski_data. Use inplace=True\n", - "ski_data.drop(columns=___, inplace=___)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "What about yearsOpen? How many resorts have purportedly been open for more than 100 years?" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "#Code task 25#\n", - "#Filter the 'yearsOpen' column for values greater than 100\n", - "ski_data.___[ski_data.___ > ___]" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Okay, one seems to have been open for 104 years. But beyond that, one is down as having been open for 2019 years. This is wrong! What shall you do about this?" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "What does the distribution of yearsOpen look like if you exclude just the obviously wrong one?" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], "source": [ "#Code task 26#\n", "#Call the hist method on 'yearsOpen' after filtering for values under 1000\n", "#Pass the argument bins=30 to hist(), but feel free to explore other values\n", - "ski_data.___[ski_data.___ < ___].hist(___)\n", + "ski_data.loc[ski_data.yearsOpen < 1000].yearsOpen.hist(bins=30)\n", "plt.xlabel('Years open')\n", "plt.ylabel('Count')\n", "plt.title('Distribution of years open excluding 2019');" @@ -1625,7 +3688,7 @@ }, { "cell_type": "code", - "execution_count": 38, + "execution_count": 126, "metadata": {}, "outputs": [ { @@ -1642,7 +3705,7 @@ "Name: yearsOpen, dtype: float64" ] }, - "execution_count": 38, + "execution_count": 126, "metadata": {}, "output_type": "execute_result" } @@ -1660,11 +3723,52 @@ }, { "cell_type": "code", - "execution_count": 39, + "execution_count": 128, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "Index: 328 entries, 0 to 329\n", + "Data columns (total 26 columns):\n", + " # Column Non-Null Count Dtype \n", + "--- ------ -------------- ----- \n", + " 0 Name 328 non-null object \n", + " 1 Region 328 non-null object \n", + " 2 state 328 non-null object \n", + " 3 summit_elev 328 non-null int64 \n", + " 4 vertical_drop 328 non-null int64 \n", + " 5 base_elev 328 non-null int64 \n", + " 6 trams 328 non-null int64 \n", + " 7 fastSixes 328 non-null int64 \n", + " 8 fastQuads 328 non-null int64 \n", + " 9 quad 328 non-null int64 \n", + " 10 triple 328 non-null int64 \n", + " 11 double 328 non-null int64 \n", + " 12 surface 328 non-null int64 \n", + " 13 total_chairs 328 non-null int64 \n", + " 14 Runs 324 non-null float64\n", + " 15 TerrainParks 277 non-null float64\n", + " 16 LongestRun_mi 323 non-null float64\n", + " 17 SkiableTerrain_ac 325 non-null float64\n", + " 18 Snow Making_ac 282 non-null float64\n", + " 19 daysOpenLastYear 279 non-null float64\n", + " 20 yearsOpen 328 non-null float64\n", + " 21 averageSnowfall 316 non-null float64\n", + " 22 AdultWeekday 274 non-null float64\n", + " 23 AdultWeekend 277 non-null float64\n", + " 24 projectedDaysOpen 283 non-null float64\n", + " 25 NightSkiing_ac 186 non-null float64\n", + "dtypes: float64(12), int64(11), object(3)\n", + "memory usage: 69.2+ KB\n" + ] + } + ], "source": [ - "ski_data = ski_data[ski_data.yearsOpen < 1000]" + "ski_data = ski_data[ski_data.yearsOpen < 1000]\n", + "ski_data.info()" ] }, { @@ -1720,9 +3824,116 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 135, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/html": [ + "
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stateresorts_per_statestate_total_skiable_area_acstate_total_days_openstate_total_terrain_parksstate_total_nightskiing_ac
0Alaska32280.0345.04.0580.0
1Arizona21577.0237.06.080.0
2California2125948.02738.081.0587.0
3Colorado2243682.03258.074.0428.0
4Connecticut5358.0353.010.0256.0
\n", + "
" + ], + "text/plain": [ + " state resorts_per_state state_total_skiable_area_ac \\\n", + "0 Alaska 3 2280.0 \n", + "1 Arizona 2 1577.0 \n", + "2 California 21 25948.0 \n", + "3 Colorado 22 43682.0 \n", + "4 Connecticut 5 358.0 \n", + "\n", + " state_total_days_open state_total_terrain_parks \\\n", + "0 345.0 4.0 \n", + "1 237.0 6.0 \n", + "2 2738.0 81.0 \n", + "3 3258.0 74.0 \n", + "4 353.0 10.0 \n", + "\n", + " state_total_nightskiing_ac \n", + "0 580.0 \n", + "1 80.0 \n", + "2 587.0 \n", + "3 428.0 \n", + "4 256.0 " + ] + }, + "execution_count": 135, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "#Code task 27#\n", "#Add named aggregations for the sum of 'daysOpenLastYear', 'TerrainParks', and 'NightSkiing_ac'\n", @@ -1733,10 +3944,10 @@ "state_summary = ski_data.groupby('state').agg(\n", " resorts_per_state=pd.NamedAgg(column='Name', aggfunc='size'), #could pick any column here\n", " state_total_skiable_area_ac=pd.NamedAgg(column='SkiableTerrain_ac', aggfunc='sum'),\n", - " state_total_days_open=pd.NamedAgg(column=__, aggfunc='sum'),\n", - " ___=pd.NamedAgg(column=___, aggfunc=___),\n", - " ___=pd.NamedAgg(column=___, aggfunc=___)\n", - ").___\n", + " state_total_days_open=pd.NamedAgg(column='daysOpenLastYear', aggfunc='sum'),\n", + " state_total_terrain_parks=pd.NamedAgg(column='TerrainParks', aggfunc='sum'),\n", + " state_total_nightskiing_ac=pd.NamedAgg(column= 'NightSkiing_ac', aggfunc='sum'),\n", + ").reset_index()\n", "state_summary.head()" ] }, @@ -1756,7 +3967,7 @@ }, { "cell_type": "code", - "execution_count": 41, + "execution_count": 138, "metadata": {}, "outputs": [ { @@ -1765,10 +3976,10 @@ "0 82.317073\n", "2 14.329268\n", "1 3.353659\n", - "dtype: float64" + "Name: count, dtype: float64" ] }, - "execution_count": 41, + "execution_count": 138, "metadata": {}, "output_type": "execute_result" } @@ -1787,13 +3998,54 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 140, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "Index: 281 entries, 0 to 329\n", + "Data columns (total 26 columns):\n", + " # Column Non-Null Count Dtype \n", + "--- ------ -------------- ----- \n", + " 0 Name 281 non-null object \n", + " 1 Region 281 non-null object \n", + " 2 state 281 non-null object \n", + " 3 summit_elev 281 non-null int64 \n", + " 4 vertical_drop 281 non-null int64 \n", + " 5 base_elev 281 non-null int64 \n", + " 6 trams 281 non-null int64 \n", + " 7 fastSixes 281 non-null int64 \n", + " 8 fastQuads 281 non-null int64 \n", + " 9 quad 281 non-null int64 \n", + " 10 triple 281 non-null int64 \n", + " 11 double 281 non-null int64 \n", + " 12 surface 281 non-null int64 \n", + " 13 total_chairs 281 non-null int64 \n", + " 14 Runs 278 non-null float64\n", + " 15 TerrainParks 237 non-null float64\n", + " 16 LongestRun_mi 276 non-null float64\n", + " 17 SkiableTerrain_ac 279 non-null float64\n", + " 18 Snow Making_ac 244 non-null float64\n", + " 19 daysOpenLastYear 237 non-null float64\n", + " 20 yearsOpen 281 non-null float64\n", + " 21 averageSnowfall 272 non-null float64\n", + " 22 AdultWeekday 274 non-null float64\n", + " 23 AdultWeekend 277 non-null float64\n", + " 24 projectedDaysOpen 240 non-null float64\n", + " 25 NightSkiing_ac 166 non-null float64\n", + "dtypes: float64(12), int64(11), object(3)\n", + "memory usage: 59.3+ KB\n" + ] + } + ], "source": [ "#Code task 28#\n", "#Use `missing_price` to remove rows from ski_data where both price values are missing\n", - "ski_data = ski_data[___ != 2]" + "ski_data = ski_data[missing_price != 2]\n", + "ski_data.info()" ] }, { @@ -1805,19 +4057,17 @@ }, { "cell_type": "code", - "execution_count": 43, + "execution_count": 142, "metadata": {}, "outputs": [ { "data": { - "image/png": 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\n", + "image/png": 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[1].1 Capital \n", + "0 Alabama AL Montgomery \n", + "1 Alaska AK Juneau \n", + "2 Arizona AZ Phoenix \n", + "3 Arkansas AR Little Rock \n", + "4 California CA Sacramento \n", + "5 Colorado CO Denver \n", + "6 Connecticut CT Hartford \n", + "7 Delaware DE Dover \n", + "8 Florida FL Tallahassee \n", + "9 Georgia GA Atlanta \n", + "10 Hawaiʻi HI Honolulu \n", + "11 Idaho ID Boise \n", + "12 Illinois IL Springfield \n", + "13 Indiana IN Indianapolis \n", + "14 Iowa IA Des Moines \n", + "15 Kansas KS Topeka \n", + "16 Kentucky[C] KY Frankfort \n", + "17 Louisiana LA Baton Rouge \n", + "18 Maine ME Augusta \n", + "19 Maryland MD Annapolis \n", + "20 Massachusetts[C] MA Boston \n", + "21 Michigan MI Lansing \n", + "22 Minnesota MN St. Paul \n", + "23 Mississippi MS Jackson \n", + "24 Missouri MO Jefferson City \n", + "25 Montana MT Helena \n", + "26 Nebraska NE Lincoln \n", + "27 Nevada NV Carson City \n", + "28 New Hampshire NH Concord \n", + "29 New Jersey NJ Trenton \n", + "30 New Mexico NM Santa Fe \n", + "31 New York NY Albany \n", + "32 North Carolina NC Raleigh \n", + "33 North Dakota ND Bismarck \n", + "34 Ohio OH Columbus \n", + "35 Oklahoma OK Oklahoma City \n", + "36 Oregon OR Salem \n", + "37 Pennsylvania[C] PA Harrisburg \n", + "38 Rhode Island[D] RI Providence \n", + "39 South Carolina SC Columbia \n", + "40 South Dakota SD Pierre \n", + "41 Tennessee TN Nashville \n", + "42 Texas TX Austin \n", + "43 Utah UT Salt Lake City \n", + "44 Vermont VT Montpelier \n", + "45 Virginia[C] VA Richmond \n", + "46 Washington WA Olympia \n", + "47 West Virginia WV Charleston \n", + "48 Wisconsin WI Madison \n", + "49 Wyoming WY Cheyenne \n", + "\n", + " Established[A] Population [B][3] Total area[4] \\\n", + " Largest[5] Established[A] Population [B][3] mi2 km2 \n", + "0 Birmingham Dec 14, 1819 4903185 52420 135767 \n", + "1 Anchorage Jan 3, 1959 731545 665384 1723337 \n", + "2 Phoenix Feb 14, 1912 7278717 113990 295234 \n", + "3 Little Rock Jun 15, 1836 3017804 53179 137732 \n", + "4 Los Angeles Sep 9, 1850 39512223 163695 423967 \n", + "5 Denver Aug 1, 1876 5758736 104094 269601 \n", + "6 Bridgeport Jan 9, 1788 3565278 5543 14357 \n", + "7 Wilmington Dec 7, 1787 973764 2489 6446 \n", + "8 Jacksonville Mar 3, 1845 21477737 65758 170312 \n", + "9 Atlanta Jan 2, 1788 10617423 59425 153910 \n", + "10 Honolulu Aug 21, 1959 1415872 10932 28313 \n", + "11 Boise Jul 3, 1890 1787065 83569 216443 \n", + "12 Chicago Dec 3, 1818 12671821 57914 149995 \n", + "13 Indianapolis Dec 11, 1816 6732219 36420 94326 \n", + "14 Des Moines Dec 28, 1846 3155070 56273 145746 \n", + "15 Wichita Jan 29, 1861 2913314 82278 213100 \n", + "16 Louisville Jun 1, 1792 4467673 40408 104656 \n", + "17 New Orleans Apr 30, 1812 4648794 52378 135659 \n", + "18 Portland Mar 15, 1820 1344212 35380 91633 \n", + "19 Baltimore Apr 28, 1788 6045680 12406 32131 \n", + "20 Boston Feb 6, 1788 6892503 10554 27336 \n", + "21 Detroit Jan 26, 1837 9986857 96714 250487 \n", + "22 Minneapolis May 11, 1858 5639632 86936 225163 \n", + "23 Jackson Dec 10, 1817 2976149 48432 125438 \n", + "24 Kansas City Aug 10, 1821 6137428 69707 180540 \n", + "25 Billings Nov 8, 1889 1068778 147040 380831 \n", + "26 Omaha Mar 1, 1867 1934408 77348 200330 \n", + "27 Las Vegas Oct 31, 1864 3080156 110572 286380 \n", + "28 Manchester Jun 21, 1788 1359711 9349 24214 \n", + "29 Newark Dec 18, 1787 8882190 8723 22591 \n", + "30 Albuquerque Jan 6, 1912 2096829 121590 314917 \n", + "31 New York Jul 26, 1788 19453561 54555 141297 \n", + "32 Charlotte Nov 21, 1789 10488084 53819 139391 \n", + "33 Fargo Nov 2, 1889 762062 70698 183108 \n", + "34 Columbus Mar 1, 1803 11689100 44826 116098 \n", + "35 Oklahoma City Nov 16, 1907 3956971 69899 181037 \n", + "36 Portland Feb 14, 1859 4217737 98379 254799 \n", + "37 Philadelphia Dec 12, 1787 12801989 46054 119280 \n", + "38 Providence May 29, 1790 1059361 1545 4001 \n", + "39 Charleston May 23, 1788 5148714 32020 82933 \n", + "40 Sioux Falls Nov 2, 1889 884659 77116 199729 \n", + "41 Nashville Jun 1, 1796 6829174 42144 109153 \n", + "42 Houston Dec 29, 1845 28995881 268596 695662 \n", + "43 Salt Lake City Jan 4, 1896 3205958 84897 219882 \n", + "44 Burlington Mar 4, 1791 623989 9616 24906 \n", + "45 Virginia Beach Jun 25, 1788 8535519 42775 110787 \n", + "46 Seattle Nov 11, 1889 7614893 71298 184661 \n", + "47 Charleston Jun 20, 1863 1792147 24230 62756 \n", + "48 Milwaukee May 29, 1848 5822434 65496 169635 \n", + "49 Cheyenne Jul 10, 1890 578759 97813 253335 \n", + "\n", + " Land area[4] Water area[4] Number of Reps. \n", + " mi2 km2 mi2 km2 Number of Reps. \n", + "0 50645 131171 1775 4597 7 \n", + "1 570641 1477953 94743 245384 1 \n", + "2 113594 294207 396 1026 9 \n", + "3 52035 134771 1143 2961 4 \n", + "4 155779 403466 7916 20501 53 \n", + "5 103642 268431 452 1170 7 \n", + "6 4842 12542 701 1816 5 \n", + "7 1949 5047 540 1399 1 \n", + "8 53625 138887 12133 31424 27 \n", + "9 57513 148959 1912 4951 14 \n", + "10 6423 16635 4509 11678 2 \n", + "11 82643 214045 926 2398 2 \n", + "12 55519 143793 2395 6202 18 \n", + "13 35826 92789 593 1537 9 \n", + "14 55857 144669 416 1077 4 \n", + "15 81759 211754 520 1346 4 \n", + "16 39486 102269 921 2387 6 \n", + "17 43204 111898 9174 23761 6 \n", + "18 30843 79883 4537 11750 2 \n", + "19 9707 25142 2699 6990 8 \n", + "20 7800 20202 2754 7134 9 \n", + "21 56539 146435 40175 104052 14 \n", + "22 79627 206232 7309 18930 8 \n", + "23 46923 121531 1508 3907 4 \n", + "24 68742 178040 965 2501 8 \n", + "25 145546 376962 1494 3869 1 \n", + "26 76824 198974 524 1356 3 \n", + "27 109781 284332 791 2048 4 \n", + "28 8953 23187 397 1027 2 \n", + "29 7354 19047 1368 3544 12 \n", + "30 121298 314161 292 757 3 \n", + "31 47126 122057 7429 19240 27 \n", + "32 48618 125920 5201 13471 13 \n", + "33 69001 178711 1698 4397 1 \n", + "34 40861 105829 3965 10269 16 \n", + "35 68595 177660 1304 3377 5 \n", + "36 95988 248608 2391 6191 5 \n", + "37 44743 115883 1312 3397 18 \n", + "38 1034 2678 511 1324 2 \n", + "39 30061 77857 1960 5076 7 \n", + "40 75811 196350 1305 3379 1 \n", + "41 41235 106798 909 2355 9 \n", + "42 261232 676587 7365 19075 36 \n", + "43 82170 212818 2727 7064 4 \n", + "44 9217 23871 400 1035 1 \n", + "45 39490 102279 3285 8508 11 \n", + "46 66456 172119 4842 12542 10 \n", + "47 24038 62259 192 497 3 \n", + "48 54158 140268 11339 29367 8 \n", + "49 97093 251470 720 1864 1 ]\n" + ] + } + ], "source": [ "#Code task 29#\n", "#Use pandas' `read_html` method to read the table from the URL below\n", "states_url = 'https://simple.wikipedia.org/w/index.php?title=List_of_U.S._states&oldid=7168473'\n", - "usa_states = pd.___(___)" + "usa_states = pd.read_html(states_url)\n", + "print(usa_states)" ] }, { "cell_type": "code", - "execution_count": 45, + "execution_count": 147, "metadata": {}, "outputs": [ { @@ -1870,7 +4286,7 @@ "list" ] }, - "execution_count": 45, + "execution_count": 147, "metadata": {}, "output_type": "execute_result" } @@ -1881,7 +4297,7 @@ }, { "cell_type": "code", - "execution_count": 46, + "execution_count": 148, "metadata": {}, "outputs": [ { @@ -1890,7 +4306,7 @@ "1" ] }, - "execution_count": 46, + "execution_count": 148, "metadata": {}, "output_type": "execute_result" } @@ -1901,7 +4317,7 @@ }, { "cell_type": "code", - "execution_count": 47, + "execution_count": 149, "metadata": {}, "outputs": [ { @@ -1925,30 +4341,30 @@ " \n", " \n", " \n", - " Name &postal abbs. [1]\n", + " Name & postal abbs. [1]\n", " Cities\n", - " Established[upper-alpha 1]\n", - " Population[upper-alpha 2][3]\n", + " Established[A]\n", + " Population [B][3]\n", " Total area[4]\n", " Land area[4]\n", " Water area[4]\n", - " Numberof Reps.\n", + " Number of Reps.\n", " \n", " \n", " \n", - " Name &postal abbs. [1]\n", - " Name &postal abbs. [1].1\n", + " Name & postal abbs. [1]\n", + " Name & postal abbs. [1].1\n", " Capital\n", " Largest[5]\n", - " Established[upper-alpha 1]\n", - " Population[upper-alpha 2][3]\n", + " Established[A]\n", + " Population [B][3]\n", " mi2\n", " km2\n", " mi2\n", " km2\n", " mi2\n", " km2\n", - " Numberof Reps.\n", + " Number of Reps.\n", " \n", " \n", " \n", @@ -2037,32 +4453,32 @@ "" ], "text/plain": [ - " Name &postal abbs. [1] Cities \\\n", - " Name &postal abbs. [1] Name &postal abbs. [1].1 Capital Largest[5] \n", - "0 Alabama AL Montgomery Birmingham \n", - "1 Alaska AK Juneau Anchorage \n", - "2 Arizona AZ Phoenix Phoenix \n", - "3 Arkansas AR Little Rock Little Rock \n", - "4 California CA Sacramento Los Angeles \n", + " Name & postal abbs. [1] Cities \\\n", + " Name & postal abbs. [1] Name & postal abbs. [1].1 Capital Largest[5] \n", + "0 Alabama AL Montgomery Birmingham \n", + "1 Alaska AK Juneau Anchorage \n", + "2 Arizona AZ Phoenix Phoenix \n", + "3 Arkansas AR Little Rock Little Rock \n", + "4 California CA Sacramento Los Angeles \n", "\n", - " Established[upper-alpha 1] Population[upper-alpha 2][3] Total area[4] \\\n", - " Established[upper-alpha 1] Population[upper-alpha 2][3] mi2 \n", - "0 Dec 14, 1819 4903185 52420 \n", - "1 Jan 3, 1959 731545 665384 \n", - "2 Feb 14, 1912 7278717 113990 \n", - "3 Jun 15, 1836 3017804 53179 \n", - "4 Sep 9, 1850 39512223 163695 \n", + " Established[A] Population [B][3] Total area[4] Land area[4] \\\n", + " Established[A] Population [B][3] mi2 km2 mi2 \n", + "0 Dec 14, 1819 4903185 52420 135767 50645 \n", + "1 Jan 3, 1959 731545 665384 1723337 570641 \n", + "2 Feb 14, 1912 7278717 113990 295234 113594 \n", + "3 Jun 15, 1836 3017804 53179 137732 52035 \n", + "4 Sep 9, 1850 39512223 163695 423967 155779 \n", "\n", - " Land area[4] Water area[4] Numberof Reps. \n", - " km2 mi2 km2 mi2 km2 Numberof Reps. \n", - "0 135767 50645 131171 1775 4597 7 \n", - "1 1723337 570641 1477953 94743 245384 1 \n", - "2 295234 113594 294207 396 1026 9 \n", - "3 137732 52035 134771 1143 2961 4 \n", - "4 423967 155779 403466 7916 20501 53 " + " Water area[4] Number of Reps. \n", + " km2 mi2 km2 Number of Reps. \n", + "0 131171 1775 4597 7 \n", + "1 1477953 94743 245384 1 \n", + "2 294207 396 1026 9 \n", + "3 134771 1143 2961 4 \n", + "4 403466 7916 20501 53 " ] }, - "execution_count": 47, + "execution_count": 149, "metadata": {}, "output_type": "execute_result" } @@ -2081,19 +4497,19 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 151, "metadata": {}, "outputs": [], "source": [ "#Code task 30#\n", "#Use the iloc accessor to get the pandas Series for column number 4 from `usa_states`\n", "#It should be a column of dates\n", - "established = usa_sates.___[:, 4]" + "established = usa_states.iloc[:, 4]" ] }, { "cell_type": "code", - "execution_count": 49, + "execution_count": 152, "metadata": {}, "outputs": [ { @@ -2149,10 +4565,10 @@ "47 Jun 20, 1863\n", "48 May 29, 1848\n", "49 Jul 10, 1890\n", - "Name: (Established[upper-alpha 1], Established[upper-alpha 1]), dtype: object" + "Name: (Established[A], Established[A]), dtype: object" ] }, - "execution_count": 49, + "execution_count": 152, "metadata": {}, "output_type": "execute_result" } @@ -2170,16 +4586,91 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 154, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/html": [ + "
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statestate_populationstate_area_sq_miles
0Alabama490318552420
1Alaska731545665384
2Arizona7278717113990
3Arkansas301780453179
4California39512223163695
\n", + "
" + ], + "text/plain": [ + " state state_population state_area_sq_miles\n", + "0 Alabama 4903185 52420\n", + "1 Alaska 731545 665384\n", + "2 Arizona 7278717 113990\n", + "3 Arkansas 3017804 53179\n", + "4 California 39512223 163695" + ] + }, + "execution_count": 154, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "#Code task 31#\n", "#Now use the iloc accessor again to extract columns 0, 5, and 6 and the dataframe's `copy()` method\n", "#Set the names of these extracted columns to 'state', 'state_population', and 'state_area_sq_miles',\n", "#respectively.\n", - "usa_states_sub = usa_states.___[:, [___]].copy()\n", - "usa_states_sub.columns = [___]\n", + "usa_states_sub = usa_states.iloc[:, [0, 5, 6]].copy()\n", + "usa_states_sub.columns = ['state', 'state_population', 'state_area_sq_miles']\n", "usa_states_sub.head()" ] }, @@ -2192,14 +4683,25 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 156, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "{'Massachusetts', 'Pennsylvania', 'Rhode Island', 'Virginia'}" + ] + }, + "execution_count": 156, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "#Code task 32#\n", "#Find the states in `state_summary` that are not in `usa_states_sub`\n", "#Hint: set(list1) - set(list2) is an easy way to get items in list1 that are not in list2\n", - "missing_states = ___(state_summary.state) - ___(usa_states_sub.state)\n", + "missing_states = set(state_summary.state) - set(usa_states_sub.state)\n", "missing_states" ] }, @@ -2219,21 +4721,21 @@ }, { "cell_type": "code", - "execution_count": 52, + "execution_count": 159, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "20 Massachusetts[upper-alpha 3]\n", - "37 Pennsylvania[upper-alpha 3]\n", - "38 Rhode Island[upper-alpha 4]\n", - "45 Virginia[upper-alpha 3]\n", - "47 West Virginia\n", + "20 Massachusetts[C]\n", + "37 Pennsylvania[C]\n", + "38 Rhode Island[D]\n", + "45 Virginia[C]\n", + "47 West Virginia\n", "Name: state, dtype: object" ] }, - "execution_count": 52, + "execution_count": 159, "metadata": {}, "output_type": "execute_result" } @@ -2251,9 +4753,35 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 161, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "<>:8: SyntaxWarning: invalid escape sequence '\\['\n", + "<>:8: SyntaxWarning: invalid escape sequence '\\['\n", + "C:\\Users\\wdwbe\\AppData\\Local\\Temp\\ipykernel_21908\\95665047.py:8: SyntaxWarning: invalid escape sequence '\\['\n", + " usa_states_sub.state.replace(to_replace='\\[.*\\]', value='', regex=True, inplace=True)\n" + ] + }, + { + "data": { + "text/plain": [ + "20 Massachusetts\n", + "37 Pennsylvania\n", + "38 Rhode Island\n", + "45 Virginia\n", + "47 West Virginia\n", + "Name: state, dtype: object" + ] + }, + "execution_count": 161, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "#Code task 33#\n", "#Use pandas' Series' `replace()` method to replace anything within square brackets (including the brackets)\n", @@ -2262,20 +4790,31 @@ "#value='' #empty string as replacement\n", "#regex=True #we used a regex in our `to_replace` argument\n", "#inplace=True #Do this \"in place\"\n", - "usa_states_sub.state.___(to_replace=___, value=__, regex=___, inplace=___)\n", + "usa_states_sub.state.replace(to_replace='\\[.*\\]', value='', regex=True, inplace=True)\n", "usa_states_sub.state[usa_states_sub.state.str.contains('Massachusetts|Pennsylvania|Rhode Island|Virginia')]" ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 162, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "set()" + ] + }, + "execution_count": 162, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "#Code task 34#\n", "#And now verify none of our states are missing by checking that there are no states in\n", "#state_summary that are not in usa_states_sub (as earlier using `set()`)\n", - "missing_states = ___(state_summary.state) - ___(usa_states_sub.state)\n", + "missing_states = set(state_summary.state) - set(usa_states_sub.state)\n", "missing_states" ] }, @@ -2288,14 +4827,133 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 164, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/html": [ + "
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stateresorts_per_statestate_total_skiable_area_acstate_total_days_openstate_total_terrain_parksstate_total_nightskiing_acstate_populationstate_area_sq_miles
0Alaska32280.0345.04.0580.0731545665384
1Arizona21577.0237.06.080.07278717113990
2California2125948.02738.081.0587.039512223163695
3Colorado2243682.03258.074.0428.05758736104094
4Connecticut5358.0353.010.0256.035652785543
\n", + "
" + ], + "text/plain": [ + " state resorts_per_state state_total_skiable_area_ac \\\n", + "0 Alaska 3 2280.0 \n", + "1 Arizona 2 1577.0 \n", + "2 California 21 25948.0 \n", + "3 Colorado 22 43682.0 \n", + "4 Connecticut 5 358.0 \n", + "\n", + " state_total_days_open state_total_terrain_parks \\\n", + "0 345.0 4.0 \n", + "1 237.0 6.0 \n", + "2 2738.0 81.0 \n", + "3 3258.0 74.0 \n", + "4 353.0 10.0 \n", + "\n", + " state_total_nightskiing_ac state_population state_area_sq_miles \n", + "0 580.0 731545 665384 \n", + "1 80.0 7278717 113990 \n", + "2 587.0 39512223 163695 \n", + "3 428.0 5758736 104094 \n", + "4 256.0 3565278 5543 " + ] + }, + "execution_count": 164, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "#Code task 35#\n", "#Use 'state_summary's `merge()` method to combine our new data in 'usa_states_sub'\n", "#specify the arguments how='left' and on='state'\n", - "state_summary = state_summary.___(usa_states_sub, ___=___, ___=___)\n", + "state_summary = state_summary.merge(usa_states_sub, on='state', how='left')\n", "state_summary.head()" ] }, @@ -2322,14 +4980,25 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 168, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "image/png": 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+ "text/plain": [ + "
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AdultWeekendAdultWeekday
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" + ], + "text/plain": [ + " AdultWeekend AdultWeekday\n", + "141 42.0 42.0\n", + "142 63.0 63.0\n", + "143 49.0 49.0\n", + "144 48.0 48.0\n", + "145 46.0 46.0\n", + "146 39.0 39.0\n", + "147 50.0 50.0\n", + "148 67.0 67.0\n", + "149 47.0 47.0\n", + "150 39.0 39.0\n", + "151 81.0 81.0" + ] + }, + "execution_count": 170, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "#Code task 37#\n", "#Use the loc accessor on ski_data to print the 'AdultWeekend' and 'AdultWeekday' columns for Montana only\n", - "ski_data.___[ski_data.state == ___, [___, ___]]" + "ski_data.loc[ski_data.state == 'Montana', ['AdultWeekend', 'AdultWeekday']]" ] }, { @@ -2359,7 +5133,7 @@ }, { "cell_type": "code", - "execution_count": 58, + "execution_count": 172, "metadata": {}, "outputs": [ { @@ -2370,7 +5144,7 @@ "dtype: int64" ] }, - "execution_count": 58, + "execution_count": 172, "metadata": {}, "output_type": "execute_result" } @@ -2388,7 +5162,7 @@ }, { "cell_type": "code", - "execution_count": 59, + "execution_count": 174, "metadata": {}, "outputs": [], "source": [ @@ -2398,7 +5172,7 @@ }, { "cell_type": "code", - "execution_count": 60, + "execution_count": 175, "metadata": {}, "outputs": [ { @@ -2407,7 +5181,7 @@ "(277, 25)" ] }, - "execution_count": 60, + "execution_count": 175, "metadata": {}, "output_type": "execute_result" } @@ -2439,7 +5213,7 @@ }, { "cell_type": "code", - "execution_count": 61, + "execution_count": 179, "metadata": {}, "outputs": [ { @@ -2536,7 +5310,7 @@ "39 4 16.0" ] }, - "execution_count": 61, + "execution_count": 179, "metadata": {}, "output_type": "execute_result" } @@ -2556,7 +5330,7 @@ }, { "cell_type": "code", - "execution_count": 62, + "execution_count": 181, "metadata": {}, "outputs": [ { @@ -2565,7 +5339,7 @@ "array([ 0., 4., 8., 12., 16., 20.])" ] }, - "execution_count": 62, + "execution_count": 181, "metadata": {}, "output_type": "execute_result" } @@ -2583,22 +5357,23 @@ }, { "cell_type": "code", - "execution_count": 63, + "execution_count": 183, "metadata": {}, "outputs": [ { "data": { "text/plain": [ + "%\n", "0.0 107\n", "4.0 94\n", "8.0 45\n", "12.0 15\n", "16.0 10\n", "20.0 6\n", - "Name: %, dtype: int64" + "Name: count, dtype: int64" ] }, - "execution_count": 63, + "execution_count": 183, "metadata": {}, "output_type": "execute_result" } @@ -2616,7 +5391,7 @@ }, { "cell_type": "code", - "execution_count": 64, + "execution_count": 185, "metadata": {}, "outputs": [ { @@ -2624,7 +5399,7 @@ "output_type": "stream", "text": [ "\n", - "Int64Index: 277 entries, 0 to 329\n", + "Index: 277 entries, 0 to 329\n", "Data columns (total 25 columns):\n", " # Column Non-Null Count Dtype \n", "--- ------ -------------- ----- \n", @@ -2670,15 +5445,17 @@ ] }, { - "cell_type": "markdown", + "cell_type": "code", + "execution_count": 187, "metadata": {}, + "outputs": [], "source": [ "## 2.12 Save data" ] }, { "cell_type": "code", - "execution_count": 65, + "execution_count": 188, "metadata": {}, "outputs": [ { @@ -2687,7 +5464,7 @@ "(277, 25)" ] }, - "execution_count": 65, + "execution_count": 188, "metadata": {}, "output_type": "execute_result" } @@ -2705,9 +5482,32 @@ }, { "cell_type": "code", - "execution_count": 66, + "execution_count": 190, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "A file already exists with this name.\n", + "\n" + ] + }, + { + "name": "stdin", + "output_type": "stream", + "text": [ + "Do you want to overwrite? (Y/N) Y\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Writing file. \"../data\\ski_data_cleaned.csv\"\n" + ] + } + ], "source": [ "# save the data to a new csv file\n", "datapath = '../data'\n", @@ -2716,9 +5516,32 @@ }, { "cell_type": "code", - "execution_count": 67, + "execution_count": 191, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "A file already exists with this name.\n", + "\n" + ] + }, + { + "name": "stdin", + "output_type": "stream", + "text": [ + "Do you want to overwrite? (Y/N) Y\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Writing file. \"../data\\state_summary.csv\"\n" + ] + } + ], "source": [ "# save the state_summary separately.\n", "datapath = '../data'\n", @@ -2743,15 +5566,119 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "**A: 3** Your answer here" + "**A: 3 Becky's Answer Below**\n", + "\n", + "***Data Wrangling Summary - Big Mountain Resort Ticket Pricing Model Project***\n", + "\n", + "**Initial Data**\n", + "* ski_resort_data.csv\n", + "* 330 Rows\n", + "* 27 Columns\n", + " - Including details such as (but not limited to) State/Region, Altitude, Trams & Lifts, Days Open, Resort Features, and Ticket Prices\n", + "* Big Mountain Resort is in this dataset\n", + " - Index = 151\n", + "\n", + "**Data Review**\n", + "* Missing Data\n", + " - Approximately half of the resorts did not have any data for:\n", + " - Fast Eight Lifts (50.3%)\n", + " - Night Skiing (43.3%)\n", + " - Approximately 15% of the resorts did not have any data regarding the following\n", + " - Snow Making \n", + " - Projected Days Open\n", + " - Days Open Last Year\n", + " - Ticket Prices (Both Weekend and Weekday)\n", + "\n", + "* Duplicates\n", + " - Two Resorts are both named \"Crystal Mountain\"\n", + " - But they are in different states, so this is not considered a duplicate.\n", + "\n", + "* Data Distributions\n", + " - State\n", + " - Montana ranks 13th for number of resorts\n", + " - New York has the most resorts\n", + " - Maryland has the least resorts\n", + " - Ticket Prices\n", + " - Vary between states\n", + " - Most ticket prices are between $25 and $100. \n", + " - Some have significantly higher weekend prices.\n", + " - Many resorts' Weekday and Weekend prices are the same.\n", + " - In General, Ticket prices are less than $100 where there are different Weekend and Weekday prices.\n", + " - There is no difference in Weekday vs Weekend ticket prices for Resorts in Montana.\n", + " - Calculated the average values for each feature and reviewed the distributions\n", + " - Unusal Data:\n", + " - Outliers\n", + " - Silverton Mountain: Skiable Area = 26819 acres.\n", + " - Heavenly Mountain Resort: Snowmaking = 3379 acres\n", + " - Note: there ticket data for this resort\n", + " - Fast Eight\n", + " - Only one resort has this type of lift.\n", + " - Half the resorts have no data\n", + " - Years Open\n", + " - Pine Knob Ski Resort recorded as being open for 2019 years\n", + " \n", + "* Caclulated the following totals across each state. This could be useful in comparing a single resort's features to the total available in that resorts market/state:\n", + " - Skiable Area\n", + " - Total Days Open\n", + " - Terrain Parks\n", + " - Night Skiing\n", + "\n", + "\n", + "* Collected State Population Data\n", + " - Source: https://simple.wikipedia.org/w/index.php?title=List_of_U.S._states&oldid=7168473\n", + "\n", + " \n", + " \n", + "\n", + "**Data Cleansing**\n", + "* Removed the Fast Eight column because there was virtually no data for this feature.\n", + "* Researched Silverton Mountain Skiable Area\n", + " - Updated to 1819 acres\n", + "* Removed Pine Knob Ski Resort because we do not know how many years it has been opened.\n", + "* Removed the resorts that had no ticket price information as we can not use them to in a ticket price calculation model.\n", + "* Cleaned State Populattion data by removing the brackets attached to some states.\n", + "* Removed Weekday Ticket prices because:\n", + " - Our resort is in Montana and other resorts in Montana do not have different weekday and weekend ticket prices.\n", + " - Less Weekend Ticket price data is missing than Weekday. Therefore, we can use just the weekend price data for our calculation.\n", + "* Cleaned Data File\n", + " - File Name: ski_data_cleaned.csv\n", + " - 277 Rows\n", + " - 25 Columns \n", + "\n", + "\n", + "\n", + "**Project Progress**\n", + "* All available data has been reviewed\n", + "* Data has been cleaned\n", + "* Next Step: Exploratory Data Analysis\n", + " - Determining which features could be used in a model to calculate ticket prices.\n", + "\n", + "\n", + "\n", + "**Questions for SMEs**\n", + "* Should we include data from all the States or just Montana?\n", + " - Do you want to compare data from different states?\n", + " - For Example: Are there resorts in other states that compete with Big Mountain Resort?\n", + "* Is state population data relevent?\n", + "* Are the number of chair lifts relevent?\n", + " \n", + "\n", + "\n" ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] } ], "metadata": { "kernelspec": { - "display_name": "Python 3", + "display_name": "Python [conda env:base] *", "language": "python", - "name": "python3" + "name": "conda-base-py" }, "language_info": { "codemirror_mode": { @@ -2763,7 +5690,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.7.4" + "version": "3.12.7" }, "toc": { "base_numbering": 1, diff --git a/Notebooks/03_exploratory_data_analysis.ipynb b/Notebooks/03_exploratory_data_analysis.ipynb index c1746d2e4..0337ae207 100644 --- a/Notebooks/03_exploratory_data_analysis.ipynb +++ b/Notebooks/03_exploratory_data_analysis.ipynb @@ -68,16 +68,8 @@ }, { "cell_type": "code", - "execution_count": 2, - "metadata": { - "execution": { - "iopub.execute_input": "2020-10-07T07:04:19.124917Z", - "iopub.status.busy": "2020-10-07T07:04:19.124711Z", - "iopub.status.idle": "2020-10-07T07:04:19.128523Z", - "shell.execute_reply": "2020-10-07T07:04:19.128112Z", - "shell.execute_reply.started": "2020-10-07T07:04:19.124888Z" - } - }, + "execution_count": 6, + "metadata": {}, "outputs": [], "source": [ "import pandas as pd\n", @@ -88,7 +80,7 @@ "from sklearn.decomposition import PCA\n", "from sklearn.preprocessing import scale\n", "\n", - "from library.sb_utils import save_file" + "from sb_utils import save_file" ] }, { @@ -107,7 +99,7 @@ }, { "cell_type": "code", - "execution_count": 2, + "execution_count": 9, "metadata": {}, "outputs": [], "source": [ @@ -116,7 +108,7 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 10, "metadata": {}, "outputs": [ { @@ -164,7 +156,7 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 11, "metadata": {}, "outputs": [ { @@ -369,7 +361,7 @@ "[5 rows x 25 columns]" ] }, - "execution_count": 4, + "execution_count": 11, "metadata": {}, "output_type": "execute_result" } @@ -387,7 +379,7 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 13, "metadata": {}, "outputs": [], "source": [ @@ -396,7 +388,7 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 14, "metadata": {}, "outputs": [ { @@ -427,7 +419,7 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 15, "metadata": { "scrolled": true }, @@ -546,7 +538,7 @@ "4 256.0 3565278 5543 " ] }, - "execution_count": 7, + "execution_count": 15, "metadata": {}, "output_type": "execute_result" } @@ -578,7 +570,7 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": 19, "metadata": {}, "outputs": [], "source": [ @@ -594,7 +586,7 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 21, "metadata": {}, "outputs": [ { @@ -609,7 +601,7 @@ "Name: state_area_sq_miles, dtype: int64" ] }, - "execution_count": 9, + "execution_count": 21, "metadata": {}, "output_type": "execute_result" } @@ -634,7 +626,7 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 24, "metadata": {}, "outputs": [ { @@ -649,7 +641,7 @@ "Name: state_population, dtype: int64" ] }, - "execution_count": 10, + "execution_count": 24, "metadata": {}, "output_type": "execute_result" } @@ -674,7 +666,7 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 27, "metadata": {}, "outputs": [ { @@ -689,7 +681,7 @@ "Name: resorts_per_state, dtype: int64" ] }, - "execution_count": 11, + "execution_count": 27, "metadata": {}, "output_type": "execute_result" } @@ -714,7 +706,7 @@ }, { "cell_type": "code", - "execution_count": 12, + "execution_count": 30, "metadata": {}, "outputs": [ { @@ -729,7 +721,7 @@ "Name: state_total_skiable_area_ac, dtype: float64" ] }, - "execution_count": 12, + "execution_count": 30, "metadata": {}, "output_type": "execute_result" } @@ -754,7 +746,7 @@ }, { "cell_type": "code", - "execution_count": 13, + "execution_count": 33, "metadata": {}, "outputs": [ { @@ -769,7 +761,7 @@ "Name: state_total_nightskiing_ac, dtype: float64" ] }, - "execution_count": 13, + "execution_count": 33, "metadata": {}, "output_type": "execute_result" } @@ -794,7 +786,7 @@ }, { "cell_type": "code", - "execution_count": 14, + "execution_count": 36, "metadata": {}, "outputs": [ { @@ -809,7 +801,7 @@ "Name: state_total_days_open, dtype: float64" ] }, - "execution_count": 14, + "execution_count": 36, "metadata": {}, "output_type": "execute_result" } @@ -843,7 +835,7 @@ }, { "cell_type": "code", - "execution_count": 15, + "execution_count": 40, "metadata": {}, "outputs": [ { @@ -960,7 +952,7 @@ "4 256.0 0.140242 90.203861 " ] }, - "execution_count": 15, + "execution_count": 40, "metadata": {}, "output_type": "execute_result" } @@ -989,19 +981,17 @@ }, { "cell_type": "code", - "execution_count": 16, + "execution_count": 43, "metadata": {}, "outputs": [ { "data": { - "image/png": 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t6IvX9rutJdo/P8mRw2i7bf9NSb6UZG7B9Eck+YN21M0b2mEH5uedk+S29nZOz/TdB8MPyxbWssj8Y5P8cs/jRye5sv8901IMg/XvfuCFB8MLQK8kG1aw+CuBX66qzWu0vc7a7Z4PDCQMlqjjwzSDDi70SuCeqvq3wP8C/ke7jUfR/KbgR9r13pDkuP70uG+OBR4Mg6r6clX1/Y2HlmYYrH8P0Fzz9FcWzlj4zn7+3Vo7zvl1ST6Q5G+SXJzk7CSfTbIzyRN6NvOTSf5/u9zz2/U3JHlzkhvTjBP/Cz3bvTbJ/wV2LtKfF7fb35Vk/oXt9cAzgXcmefOC5R+yvf20e0KS69OM2b4ryY8v1d7885DkjUluAH4deDRwbdvWhvZ529Wuu9Tz+s61el6q6jNL/DL2DOA97f0rgee0vyj9D8Anq+ruqroH+CRw2oI+fl+STyT5z4v0fy7JW5LclOSaJMe3009O8pm27380HzBJZpO8Ncmn2+flae30i5Jc0LPdXb1HL+20ibaNm9rnc35U3YuBJ7T77M1JptJelyHJEUkubZf/yySb2+nnJvlgW9dtSX5nkedMqzXscbm9HfC45nPA0cBu4BjgAuCidt5lwJm9y7b/zgDfoBkT/RHAncBvtfPOA97as/4naN40PJFmrJcjgC3Ab7TLPALYDjyu3e59wOMW6eejgX8Ajqf55fungBe082aB6UXWecj29tPua4Ffb6dvoBnffX/tFfCinnZ2Axvb+6fSvNDOzzt2kX6t2fOycF8ueLwLOLHn8d8CG9t9/Bs9038TuKCnling/wEvW6KdAs5u778e+D/t/c8BP9Hef2PP38Es8K72/rNor58AXDTfbk9/pxb8rR0KHN3e30jza+C0fdzVs+5Uz3ZfC1za3v+Bdj8eAZwL3E7zd34E8PfAY4b9f3BUbh4ZjIBqRiu8HHjNCla7sZox0e+neZH503b6Tpr/mPM+UFXfq6rbaP4j/gDwXJoxX26mGTb3X7FvNMTPVtXfLdLevwdmq+qrVfUAcAXNC8tyere3VLs3Ai9P81nJSdWM776/9r5LM8DXYm4HHp/k7UlOAxaOBDlvrZ6X/Vlq1M3lRuP8EM2L6eVLbPd7wB+0998HPDPJMTTBd107/T08dP+8Hx68hsLRSY7tVgIB/luSz9EE1CZgcpl1ngm8t23vr2le9J/UzrumqvZW1beALwCP7dgPLcMwGB1vpTnHfFTPtAdo93F7euHwnnn399z/Xs/j7/HQMasWjlcy/2L06qo6ub09rqrmw+S+Jfq32AtYF73bW7Td9gXqWTRHOO9N8rJl2vtWVX13sRnVnHb5IZp3w/8FuGSJbazV87I/D466meRQmnfEd7P8aJx/Dvx0u8+76DImzWL1Pvj31TpikfXOpjk6O7WqTga+ssRyvfbX796/2++yzsdXO5gYBiOiqu4GPkATCPN205z2gOb882Gr2PTPJjmk/Rzh8cCtNAPj/VKaIXRJ8qQkR+1vIzTvlH8iycY0H6K+GLhumXUWWrTdJI8F7qqqd9GM5HjKCtv7Js2pJdJ8EH9IVV1Fc/plqevmrtXzsj9XA/PfFDoT+FQ1507+BHhukuPa8/rPbafNez3N6JS/t8R2D2m3B/DzwJ9V1V7gnvnPW2gGQet9vn6uremZNKN/7qX5+zqlnX4KzSmxhY6h2Tffac/9z7+Tf/A5X8T1NCFCkifRDL526xLLao2YqqPlLcCreh6/C/hQks8C17C6d6e30rwoTAK/WFXfSnIJzamkm9p3n18FXrC/jVTVniSvA66leef3sar60Ar7slS7M8B/TfIdms9QXrbC9rYCH0+yh+abRZcmmX+j9Lol1lmT5wWg/SD054Ej04w+eklVXUQTbO9N8kWaI4KzoAn+JL9Nc3oM4I3tm4Fe5wPvTvI7VfWrC+bdB/xgkh3AXtoXeprgeWear9nezkNH+bwnyadpPp96RTvtKvadFruR5jq8C10BfDjJduBm4K/bGr6e5M/bD40/DryjZ53fa/uxk+bo49yqur/7gY5Ww1FLpRVKchnNhcbX5ffik8xV1cQKlp+l+aB4e/96pWHzNJEkySMDSZJHBpIkDANJEoaBJAnDQJKEYSBJAv4FFZnvyL/kiA8AAAAASUVORK5CYII=\n", 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", 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\n", 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resorts_per_statestate_total_skiable_area_acstate_total_days_openstate_total_terrain_parksstate_total_nightskiing_acresorts_per_100kcapitaresorts_per_100ksq_mile
state
Alaska32280.0345.04.0580.00.4100910.450867
Arizona21577.0237.06.080.00.0274771.754540
California2125948.02738.081.0587.00.05314812.828736
Colorado2243682.03258.074.0428.00.38202821.134744
Connecticut5358.0353.010.0256.00.14024290.203861
\n", + "
" + ], + "text/plain": [ + " resorts_per_state state_total_skiable_area_ac \\\n", + "state \n", + "Alaska 3 2280.0 \n", + "Arizona 2 1577.0 \n", + "California 21 25948.0 \n", + "Colorado 22 43682.0 \n", + "Connecticut 5 358.0 \n", + "\n", + " state_total_days_open state_total_terrain_parks \\\n", + "state \n", + "Alaska 345.0 4.0 \n", + "Arizona 237.0 6.0 \n", + "California 2738.0 81.0 \n", + "Colorado 3258.0 74.0 \n", + "Connecticut 353.0 10.0 \n", + "\n", + " state_total_nightskiing_ac resorts_per_100kcapita \\\n", + "state \n", + "Alaska 580.0 0.410091 \n", + "Arizona 80.0 0.027477 \n", + "California 587.0 0.053148 \n", + "Colorado 428.0 0.382028 \n", + "Connecticut 256.0 0.140242 \n", + "\n", + " resorts_per_100ksq_mile \n", + "state \n", + "Alaska 0.450867 \n", + "Arizona 1.754540 \n", + "California 12.828736 \n", + "Colorado 21.134744 \n", + "Connecticut 90.203861 " + ] + }, + "execution_count": 55, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "#Code task 1#\n", "#Create a new dataframe, `state_summary_scale` from `state_summary` whilst setting the index to 'state'\n", - "state_summary_scale = state_summary.set_index(___)\n", + "state_summary_scale = state_summary.set_index('state')\n", "#Save the state labels (using the index attribute of `state_summary_scale`) into the variable 'state_summary_index'\n", - "state_summary_index = state_summary_scale.___\n", + "state_summary_index = state_summary_scale.index\n", "#Save the column names (using the `columns` attribute) of `state_summary_scale` into the variable 'state_summary_columns'\n", - "state_summary_columns = state_summary_scale.___\n", + "state_summary_columns = state_summary_scale.columns\n", "state_summary_scale.head()" ] }, @@ -1177,11 +1299,89 @@ }, { "cell_type": "code", - "execution_count": 21, + "execution_count": 57, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[[-0.80691244 -0.39201176 -0.6890595 -0.81611762 0.06941027 0.1395934\n", + " -0.6899993 ]\n", + " [-0.93355788 -0.46242421 -0.81903828 -0.72699401 -0.70132562 -0.6447057\n", + " -0.65812528]\n", + " [ 1.47270565 1.97857407 2.19093343 2.61514134 0.08020058 -0.59208463\n", + " -0.38736773]\n", + " [ 1.5993511 3.75481073 2.81675721 2.30320871 -0.16489344 0.08206919\n", + " -0.18429076]\n", + " [-0.55362154 -0.58451919 -0.67943144 -0.5487468 -0.43002659 -0.41355652\n", + " 1.5044083 ]\n", + " [ 0.33289661 1.02184618 0.26291476 0.20880389 -0.18493257 0.67542552\n", + " -0.34994411]\n", + " [-0.68026699 -0.60124591 -0.8382944 -0.72699401 -0.53022226 -0.63632443\n", + " -0.53215575]\n", + " [-0.93355788 -0.60385006 -0.91531887 -0.81611762 -0.57030052 -0.64013349\n", + " -0.56675911]\n", + " [-0.80691244 -0.60635406 -0.98391878 -0.77155582 -0.60883732 -0.50612034\n", + " -0.5706792 ]\n", + " [-0.04703974 -0.29826204 -0.06323571 -0.23681416 -0.22655231 0.6714184\n", + " -0.07907623]\n", + " [-1.06020333 -0.60314894 -0.95864513 -0.86067943 -0.6427497 -0.66712412\n", + " -0.50394546]\n", + " [ 0.20625116 -0.50358995 -0.29671612 -0.19225236 0.07403469 -0.37388754\n", + " 1.84723853]\n", + " [ 2.3592238 -0.17907169 1.77090938 1.81302886 2.17506075 -0.12631776\n", + " 0.00682042]\n", + " [ 0.58618751 -0.46412693 0.68895634 0.29792749 0.74765786 -0.19216977\n", + " -0.30729435]\n", + " [-0.93355788 -0.61436686 -1.02122751 -0.90524123 -0.75219419 -0.63423187\n", + " -0.63087367]\n", + " [ 0.33289661 1.52404819 0.04026592 0.20880389 0.26980161 1.6004915\n", + " -0.50149003]\n", + " [-0.68026699 -0.40903895 -0.60481399 -0.5933086 -0.82464337 -0.43482976\n", + " -0.61257573]\n", + " [ 0.83947841 -0.27712829 1.11860844 0.92179276 -0.24504997 1.71106645\n", + " 3.48328079]\n", + " [-0.93355788 -0.60134607 -0.89967327 -0.81611762 -0.54563697 -0.65487376\n", + " -0.14044935]\n", + " [-0.04703974 -0.09724101 0.05831852 -0.19225236 -0.74756978 0.17880405\n", + " -0.52005007]\n", + " [ 2.99245105 -0.06809446 1.76489185 2.2140851 3.54697064 -0.35330491\n", + " 0.77790766]\n", + " [-0.42697609 -0.58331727 -0.49529482 -0.5933086 -0.30825032 -0.58376293\n", + " -0.42844902]\n", + " [-0.55362154 -0.57820912 -0.51575445 -0.45962319 -0.17568374 -0.61334813\n", + " -0.42830815]\n", + " [ 0.07960571 0.55890686 0.31586908 -0.01400514 0.91259535 -0.21502388\n", + " -0.45250011]\n", + " [ 1.21941476 -0.43127446 0.58545471 1.10003998 1.53072554 -0.39680329\n", + " 0.30766003]\n", + " [-1.06020333 -0.61737166 -0.98391878 -0.94980304 -0.77839921 -0.50753171\n", + " 0.88146325]\n", + " [-0.93355788 -0.5252245 -0.88402768 -0.86067943 -0.82464337 -0.23760941\n", + " -0.63761331]\n", + " [-1.06020333 -0.62037646 -1.0043784 -0.94980304 -0.82464337 -0.67101407\n", + " -0.64300877]\n", + " [ 0.45954206 2.43530347 0.75394573 0.16424208 0.16498152 0.1301724\n", + " -0.32663695]\n", + " [ 0.71283296 0.10468146 1.03436293 1.23372539 -0.74756978 4.22657209\n", + " 3.11284091]\n", + " [-0.68026699 -0.59343343 -0.66378584 -0.81611762 -0.61654468 -0.60496815\n", + " -0.47239005]\n", + " [ 0.07960571 0.91507566 0.12571493 -0.05856694 2.25367581 -0.43184097\n", + " -0.35810417]\n", + " [-0.68026699 -0.56608976 -0.69267002 -0.5933086 -0.53638814 -0.24351263\n", + " -0.29740065]\n", + " [ 0.71283296 -0.44509653 0.72385805 0.78810735 0.81702409 -0.17294002\n", + " -0.14107843]\n", + " [-0.17368519 0.03296693 -0.2425583 -0.37049958 -0.65508147 2.13240679\n", + " -0.50105416]]\n" + ] + } + ], "source": [ - "state_summary_scale = scale(state_summary_scale)" + "state_summary_scale = scale(state_summary_scale)\n", + "print(state_summary_scale)" ] }, { @@ -1193,13 +1393,126 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 59, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/html": [ + "
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resorts_per_statestate_total_skiable_area_acstate_total_days_openstate_total_terrain_parksstate_total_nightskiing_acresorts_per_100kcapitaresorts_per_100ksq_mile
0-0.806912-0.392012-0.689059-0.8161180.0694100.139593-0.689999
1-0.933558-0.462424-0.819038-0.726994-0.701326-0.644706-0.658125
21.4727061.9785742.1909332.6151410.080201-0.592085-0.387368
31.5993513.7548112.8167572.303209-0.1648930.082069-0.184291
4-0.553622-0.584519-0.679431-0.548747-0.430027-0.4135571.504408
\n", + "
" + ], + "text/plain": [ + " resorts_per_state state_total_skiable_area_ac state_total_days_open \\\n", + "0 -0.806912 -0.392012 -0.689059 \n", + "1 -0.933558 -0.462424 -0.819038 \n", + "2 1.472706 1.978574 2.190933 \n", + "3 1.599351 3.754811 2.816757 \n", + "4 -0.553622 -0.584519 -0.679431 \n", + "\n", + " state_total_terrain_parks state_total_nightskiing_ac \\\n", + "0 -0.816118 0.069410 \n", + "1 -0.726994 -0.701326 \n", + "2 2.615141 0.080201 \n", + "3 2.303209 -0.164893 \n", + "4 -0.548747 -0.430027 \n", + "\n", + " resorts_per_100kcapita resorts_per_100ksq_mile \n", + "0 0.139593 -0.689999 \n", + "1 -0.644706 -0.658125 \n", + "2 -0.592085 -0.387368 \n", + "3 0.082069 -0.184291 \n", + "4 -0.413557 1.504408 " + ] + }, + "execution_count": 59, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "#Code task 2#\n", "#Create a new dataframe from `state_summary_scale` using the column names we saved in `state_summary_columns`\n", - "state_summary_scaled_df = pd.DataFrame(___, columns=___)\n", + "state_summary_scaled_df = pd.DataFrame(data = state_summary_scale, columns=state_summary_columns)\n", "state_summary_scaled_df.head()" ] }, @@ -1226,13 +1539,31 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 63, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "resorts_per_state -7.295751e-17\n", + "state_total_skiable_area_ac -4.163336e-17\n", + "state_total_days_open 7.692260e-17\n", + "state_total_terrain_parks 4.599495e-17\n", + "state_total_nightskiing_ac 7.612958e-17\n", + "resorts_per_100kcapita 5.075305e-17\n", + "resorts_per_100ksq_mile 5.075305e-17\n", + "dtype: float64" + ] + }, + "execution_count": 63, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "#Code task 3#\n", "#Call `state_summary_scaled_df`'s `mean()` method\n", - "state_summary_scaled_df.___" + "state_summary_scaled_df.mean()" ] }, { @@ -1251,13 +1582,31 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 66, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "resorts_per_state 1.014599\n", + "state_total_skiable_area_ac 1.014599\n", + "state_total_days_open 1.014599\n", + "state_total_terrain_parks 1.014599\n", + "state_total_nightskiing_ac 1.014599\n", + "resorts_per_100kcapita 1.014599\n", + "resorts_per_100ksq_mile 1.014599\n", + "dtype: float64" + ] + }, + "execution_count": 66, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "#Code task 4#\n", "#Call `state_summary_scaled_df`'s `std()` method\n", - "state_summary_scaled_df.___" + "state_summary_scaled_df.std()" ] }, { @@ -1271,17 +1620,35 @@ }, { "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "#Code task 5#\n", - "#Repeat the previous call to `std()` but pass in ddof=0 \n", - "state_summary_scaled_df.___(___)" - ] - }, - { - "cell_type": "markdown", + "execution_count": 68, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "resorts_per_state 1.0\n", + "state_total_skiable_area_ac 1.0\n", + "state_total_days_open 1.0\n", + "state_total_terrain_parks 1.0\n", + "state_total_nightskiing_ac 1.0\n", + "resorts_per_100kcapita 1.0\n", + "resorts_per_100ksq_mile 1.0\n", + "dtype: float64" + ] + }, + "execution_count": 68, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#Code task 5#\n", + "#Repeat the previous call to `std()` but pass in ddof=0 \n", + "state_summary_scaled_df.std(ddof=0)" + ] + }, + { + "cell_type": "markdown", "metadata": {}, "source": [ "There! Now it agrees with `scale()` and our expectation. This just goes to show different routines to do ostensibly the same thing can have different behaviours. Good practice is to keep validating your work and checking the documentation!" @@ -1303,11 +1670,11 @@ }, { "cell_type": "code", - "execution_count": 26, + "execution_count": 72, "metadata": {}, "outputs": [], "source": [ - "state_pca = PCA().fit(state_summary_scale)" + "state_pca = PCA().fit(state_summary_scale)\n" ] }, { @@ -1319,9 +1686,20 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 74, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ "#Code task 6#\n", "#Call the `cumsum()` method on the 'explained_variance_ratio_' attribute of `state_pca` and\n", @@ -1330,10 +1708,10 @@ "#title to 'Cumulative variance ratio explained by PCA components for state/resort summary statistics'\n", "#Hint: remember the handy ';' at the end of the last plot call to suppress that untidy output\n", "plt.subplots(figsize=(10, 6))\n", - "plt.plot(state_pca.explained_variance_ratio_.___)\n", - "plt.xlabel(___)\n", - "plt.ylabel(___)\n", - "plt.title(___);" + "plt.plot(state_pca.explained_variance_ratio_.cumsum())\n", + "plt.xlabel('Component #')\n", + "plt.ylabel('Cumulative ratio variance')\n", + "plt.title('Cumulative variance ratio explained by PCA components for state/resort summary statistics');" ] }, { @@ -1359,18 +1737,18 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 78, "metadata": {}, "outputs": [], "source": [ "#Code task 7#\n", "#Call `state_pca`'s `transform()` method, passing in `state_summary_scale` as its argument\n", - "state_pca_x = state_pca.___(___)" + "state_pca_x = state_pca.transform(state_summary_scale)" ] }, { "cell_type": "code", - "execution_count": 29, + "execution_count": 79, "metadata": {}, "outputs": [ { @@ -1379,7 +1757,7 @@ "(35, 7)" ] }, - "execution_count": 29, + "execution_count": 79, "metadata": {}, "output_type": "execute_result" } @@ -1406,19 +1784,17 @@ }, { "cell_type": "code", - "execution_count": 30, + "execution_count": 82, "metadata": {}, "outputs": [ { "data": { - "image/png": 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\n", 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", 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" + "
" ] }, - "metadata": { - "needs_background": "light" - }, + "metadata": {}, "output_type": "display_data" } ], @@ -1452,31 +1828,46 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 85, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "state\n", + "Alaska 57.333333\n", + "Arizona 83.500000\n", + "California 81.416667\n", + "Colorado 90.714286\n", + "Connecticut 56.800000\n", + "Name: AdultWeekend, dtype: float64" + ] + }, + "execution_count": 85, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "#Code task 8#\n", "#Calculate the average 'AdultWeekend' ticket price by state\n", - "state_avg_price = ski_data.groupby(___)[___].___\n", + "state_avg_price = ski_data.groupby(by='state')['AdultWeekend'].mean()\n", "state_avg_price.head()" ] }, { "cell_type": "code", - "execution_count": 32, + "execution_count": 86, "metadata": {}, "outputs": [ { "data": { - "image/png": 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\n", 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", 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PC1PC2
state
Alaska-1.336533-0.182208
Arizona-1.839049-0.387959
California3.537857-1.282509
Colorado4.402210-0.898855
Connecticut-0.9880271.020218
\n", + "
" + ], + "text/plain": [ + " PC1 PC2\n", + "state \n", + "Alaska -1.336533 -0.182208\n", + "Arizona -1.839049 -0.387959\n", + "California 3.537857 -1.282509\n", + "Colorado 4.402210 -0.898855\n", + "Connecticut -0.988027 1.020218" + ] + }, + "execution_count": 89, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "#Code task 9#\n", "#Create a dataframe containing the values of the first two PCA components\n", "#Remember the first component was given by state_pca_x[:, 0],\n", "#and the second by state_pca_x[:, 1]\n", "#Call these 'PC1' and 'PC2', respectively and set the dataframe index to `state_summary_index`\n", - "pca_df = pd.DataFrame({'PC1': ___, 'PC2': ___}, index=__)\n", + "pca_df = pd.DataFrame({'PC1': state_pca_x[:, 0], 'PC2': state_pca_x[:, 1]}, index=state_summary_index)\n", "pca_df.head()" ] }, @@ -1525,7 +1991,7 @@ }, { "cell_type": "code", - "execution_count": 34, + "execution_count": 91, "metadata": {}, "outputs": [ { @@ -1540,7 +2006,7 @@ "Name: AdultWeekend, dtype: float64" ] }, - "execution_count": 34, + "execution_count": 91, "metadata": {}, "output_type": "execute_result" } @@ -1552,7 +2018,7 @@ }, { "cell_type": "code", - "execution_count": 35, + "execution_count": 92, "metadata": {}, "outputs": [ { @@ -1618,7 +2084,7 @@ "Connecticut 56.800000" ] }, - "execution_count": 35, + "execution_count": 92, "metadata": {}, "output_type": "execute_result" } @@ -1637,14 +2103,96 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 94, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/html": [ + "
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PC1PC2AdultWeekend
state
Alaska-1.336533-0.18220857.333333
Arizona-1.839049-0.38795983.500000
California3.537857-1.28250981.416667
Colorado4.402210-0.89885590.714286
Connecticut-0.9880271.02021856.800000
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" + ], + "text/plain": [ + " PC1 PC2 AdultWeekend\n", + "state \n", + "Alaska -1.336533 -0.182208 57.333333\n", + "Arizona -1.839049 -0.387959 83.500000\n", + "California 3.537857 -1.282509 81.416667\n", + "Colorado 4.402210 -0.898855 90.714286\n", + "Connecticut -0.988027 1.020218 56.800000" + ] + }, + "execution_count": 94, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "#Code task 10#\n", "#Use pd.concat to concatenate `pca_df` and `state_avg_price` along axis 1\n", "# remember, pd.concat will align on index\n", - "pca_df = ___([___, ___], axis=___)\n", + "pca_df = pd.concat([pca_df, state_avg_price], axis=1)\n", "pca_df.head()" ] }, @@ -1657,7 +2205,7 @@ }, { "cell_type": "code", - "execution_count": 37, + "execution_count": 96, "metadata": {}, "outputs": [ { @@ -1686,6 +2234,13 @@ " AdultWeekend\n", " Quartile\n", " \n", + " \n", + " state\n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", @@ -1729,6 +2284,7 @@ ], "text/plain": [ " PC1 PC2 AdultWeekend Quartile\n", + "state \n", "Alaska -1.336533 -0.182208 57.333333 (53.1, 60.4]\n", "Arizona -1.839049 -0.387959 83.500000 (78.4, 93.0]\n", "California 3.537857 -1.282509 81.416667 (78.4, 93.0]\n", @@ -1736,7 +2292,7 @@ "Connecticut -0.988027 1.020218 56.800000 (53.1, 60.4]" ] }, - "execution_count": 37, + "execution_count": 96, "metadata": {}, "output_type": "execute_result" } @@ -1748,7 +2304,7 @@ }, { "cell_type": "code", - "execution_count": 38, + "execution_count": 97, "metadata": {}, "outputs": [ { @@ -1761,7 +2317,7 @@ "dtype: object" ] }, - "execution_count": 38, + "execution_count": 97, "metadata": {}, "output_type": "execute_result" } @@ -1781,7 +2337,7 @@ }, { "cell_type": "code", - "execution_count": 39, + "execution_count": 99, "metadata": {}, "outputs": [ { @@ -1810,6 +2366,13 @@ " AdultWeekend\n", " Quartile\n", " \n", + " \n", + " state\n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", @@ -1825,10 +2388,11 @@ ], "text/plain": [ " PC1 PC2 AdultWeekend Quartile\n", + "state \n", "Rhode Island -1.843646 0.761339 NaN NaN" ] }, - "execution_count": 39, + "execution_count": 99, "metadata": {}, "output_type": "execute_result" } @@ -1853,26 +2417,47 @@ }, { "cell_type": "code", - "execution_count": 40, + "execution_count": 102, "metadata": {}, "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "C:\\Users\\wdwbe\\AppData\\Local\\Temp\\ipykernel_25204\\705061042.py:1: FutureWarning: A value is trying to be set on a copy of a DataFrame or Series through chained assignment using an inplace method.\n", + "The behavior will change in pandas 3.0. This inplace method will never work because the intermediate object on which we are setting values always behaves as a copy.\n", + "\n", + "For example, when doing 'df[col].method(value, inplace=True)', try using 'df.method({col: value}, inplace=True)' or df[col] = df[col].method(value) instead, to perform the operation inplace on the original object.\n", + "\n", + "\n", + " pca_df['AdultWeekend'].fillna(pca_df.AdultWeekend.mean(), inplace=True)\n", + "C:\\Users\\wdwbe\\AppData\\Local\\Temp\\ipykernel_25204\\705061042.py:4: FutureWarning: A value is trying to be set on a copy of a DataFrame or Series through chained assignment using an inplace method.\n", + "The behavior will change in pandas 3.0. This inplace method will never work because the intermediate object on which we are setting values always behaves as a copy.\n", + "\n", + "For example, when doing 'df[col].method(value, inplace=True)', try using 'df.method({col: value}, inplace=True)' or df[col] = df[col].method(value) instead, to perform the operation inplace on the original object.\n", + "\n", + "\n", + " pca_df['Quartile'].fillna('NA', inplace=True)\n" + ] + }, { "data": { "text/plain": [ - "PC1 -1.84365\n", - "PC2 0.761339\n", - "AdultWeekend 64.1244\n", - "Quartile NA\n", + "PC1 -1.843646\n", + "PC2 0.761339\n", + "AdultWeekend 64.124388\n", + "Quartile NA\n", "Name: Rhode Island, dtype: object" ] }, - "execution_count": 40, + "execution_count": 102, "metadata": {}, "output_type": "execute_result" } ], "source": [ "pca_df['AdultWeekend'].fillna(pca_df.AdultWeekend.mean(), inplace=True)\n", + "#pca_df['Quartile'].str.contains('NA')\n", "pca_df['Quartile'] = pca_df['Quartile'].cat.add_categories('NA')\n", "pca_df['Quartile'].fillna('NA', inplace=True)\n", "pca_df.loc['Rhode Island']" @@ -1896,19 +2481,17 @@ }, { "cell_type": "code", - "execution_count": 41, + "execution_count": 105, "metadata": {}, "outputs": [ { "data": { - "image/png": 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5c/3l27ZtIyEhgejo6EBOQ4UL9gidAz4wMwe84Jz7a5DjERERqRK2783ilpc+4XD2SXJyHRHhRu2oSF4b1YWWjcuetLz88ssMHDiQ8PBwf9mjjz5KUlJSoXrdu3fnmmuuITk5+bTtDR8+nEceeYS+ffuSlZVFWNiZx6KGDBnCtGnTCpU1bdqU5cuXU716dbKysmjXrh0DBgygWbNmhepdcMEFzJgxg0mTJhUqb9WqFWlpaZU2oQv2CF1351xH4CrgXjPrdWoFM7vLzFLNLHXv3r0VH6GIiARVcnIy77//fqGyZ599lp///OdBiuj7GI4ePRrUGMoqN89xy0ufsOdgNkeO53I8J48jx3PZcyibW1/65KxG6mbNmsV1113n3169ejV79uyhX79+hep16NCBMz2ffcOGDeTk5NC3b18AoqOjqVmzZpniqlatGtWrVwfg+PHj5OXlFVsvNjaW+Pj4gBLHyiSo0Trnvvb991vgbeDyYur81TmX6JxLbNy4Qp5vKyIilcjQoUOZM2dOobI5c+YwdOjQMx5bcNrvXAvlhG7p1kwOZ5/k1LTNOTiUfZKlW8t2afuJEyfYvn27P1HLy8tj7NixPP3002Vqb/PmzdSrV4+BAwfSoUMHxo8fH9DPdN68ecTHxzN48GB27tzpL9+5cyfx8fG0aNGChx56qMjoXCgLWkJnZrXMrHb+e6AfsD5Y8YiISOXhcnI4vHAhmc8/T+/sbN6dP5/jx48DkJ6eztdff83Ro0fp1q0bHTt25MYbbyQrKwvwRlh+/etf06NHD958801iY2P51a9+Rbdu3UhMTOSzzz6jf//+tGrVyn8dlXOO8ePH065dO+Li4nj99dcBWLRoEcnJyQwePJgf/ehH3HrrrTjnmDp1Kl9//TUpKSmkpKQE5ySdha/2HSEnt/hRuNxcx459R8rUbmZmJvXq1fNvP/fcc1x99dW0aNGiTO3l5OSwZMkSJk2axKpVq9i+fTszZsw47THXXnst6enprF27lh//+MeMGDHCv69FixasXbuWrVu3MnPmTPbs2VOmuCqjYI7QNQGWmtnnwKfAe865fwcxHhERqQSyFi9mS4+efD3+QfZO/TM5L75Em5xcZvbuzck9e5gzZw59+vThd7/7HR9++CGfffYZiYmJTJ482d9GVFQUS5cu5eabbwa8P+QrVqygZ8+ejBw5krlz57Jy5UomTpwIwFtvvUVaWhqff/45H374IePHj2f37t0ArFmzhmeffZYNGzawfft2li1bxujRo2nWrBkfffQRH330UcWfpLN0YcNaRIQXf6uN8HDjgoa1ytRujRo1Ct2PbcWKFUybNo3Y2FjGjRvHK6+8wsMPPxxwezExMXTo0IGWLVsSERHB9ddfz2effXbaYxo2bOifWr3zzjtZvXp1kTrNmjWjbdu2LFmyJOBYKrugLYpwzm0H2gerfxERqXyOLF9Oxv0P4ArepDUvj6tr1WL++vWk3DSEOd/tY+CNN/KPf/yD7t27A95UX7du3fyHDBkypFC7AwYMACAuLo6srCxq165N7dq1iYqK4sCBAyxdupShQ4cSHh5OkyZNSEpKYtWqVdSpU4fLL7+cmJgYABISEkhPT6dHjx7lfCbKV4+LG1E7KpKjJ3JxBQbqzKBOVCQ9Lm5Upnbr169Pbm4u2dnZREVFMWvWLP++GTNmkJqaylNPPRVwe507d2b//v3s3buXxo0bs3DhQhITvVvWTpgwgcsvv5wbbrih0DG7d++madOmACxYsIDWrVsD3lM0GjZsSI0aNdi/fz/Lli3jl7/8ZZk+Z2UUWlf8iYjID5Zzjt2PPV44mfPpU7s2K48cYe3XX5P17bd06NCBvn37kpaWRlpaGhs2bGD69On++rVqFR5hyh+xCQsL87/P387JycG5khcBFKwfHh5OTk5OmT9jZREeZrw2qgtN6kRRq3o4URFh1Koezvl1opg1qgvhYWW/UW6/fv1YunTpGetNnTqVmJgYMjIyiI+PZ9SoUQCkpqb634eHhzNp0iT69OlDXFwczjnuvPNOANatW8f5559fbLtt27alffv2TJ061T9Fu3HjRrp06UL79u1JSkpi3LhxxMXFATBx4kQWLFgAwKpVq4iJieHNN9/kZz/7GW3bti3zuahIwb5tiYiICADZ678gZ9++YvfVCgujc82aPLJzB1c1bkzXrl2599572bp1KxdffDFHjx4lIyODSy+9tEx99+rVixdeeIERI0bw3Xff8fHHH/P000+zadOmEo+pXbs2hw8fplGjso1mBVvLxtEse6g3S7dmsmPfES5oWIseFzc6q2QO4L777mPy5Mn8+Mc/LlQ+cuRIRo4c6d8ePXo0o0ePLnJ8YmKi/95xAH379mXt2rVF6p08ebLQqGy+J598kieffLJIeUntAPz617/2v+/cuTMZGRnF1qvMNEInIiKVwsmMnd6cXwl+UrsO/zt+nCsjImnUoAEzZsxg6NChxMfH07Vr19MmX2dyww03EB8fT/v27enduzd//OMfix39Keiuu+7iqquuCslFEfnCw4ykSxszrFssSZc2PutkDrzbkaSkpJTrCmOgyK1sylv+jYWbNGlSof0Gyk43zFzZJCYmutTU1GCHISIi5SBr8WJ2jR1Hnm+1aokiI/nR2s8rxfMzK5uNGzf6rxmTilXcuTez1RX1nHqN0ImISKVQ8/LLcWca1QkLo3ZKipI5kVMooRMRkUohrEYN6t96KxYVVWIdq1aNhnfdVYFRiYQGJXQiIlJpnPfA/dTq2ROrUaPwjogILCqKpr/5NTXahcaqQ5GKpFWuIiJSaVhEBDFT/8SR5cv57uW/kf2//2GRkdTu04cGw26j2oUXBjtEkUpJI3QiIlKpmBnR3btzwfSXuHTpEi75aCHn/98jSubONedg+yKYdRNMS/T+u33RWTd77NgxkpKS/Ktcw8PDSUhIICEhwX+DZ4Cf/vSntG/f3v/M1awSFsNceeWV1KtXj2uuuSbgGN544w3atGlD27ZtueWWW/zlM2fO5JJLLuGSSy5h5syZp21j7ty5mBn5izHzV7lGR0cHHEdF0gidiIhIVeMc/OtBWPN3OHnUK8vcAulLoMMwuPqPZW765ZdfZuDAgYSHhwPe48DS0tKK1JsyZQp16tQB4Je//CXTpk0r9rFg48eP5+jRo7zwwgsB9b9lyxaefPJJli1bRv369fn2228B+O6773jiiSdITU3FzOjUqRMDBgygfv36Rdo4fPgwU6dOpUuXLv6yVq1akZaWVmkTOo3QiYiIVDVfLi6czOU7eRTWvHpWI3WzZs3iuuuuO2O9/GTOOcexY8dKXLncp08fateuHXD/L774Ivfee68/UTvvvPMA7751ffv2pUGDBtSvX5++ffvy738X/wj5Rx99lAcffJCo0yzQqWyU0ImIiFQ1K54rmszlO3nU218GJ06cYPv27cTGxvrLsrOzSUxMpGvXrrzzzjuF6t9+++2cf/75bNq0iV/84hdl6vNUmzdvZvPmzXTv3p2uXbv6k7Zdu3bRokULf72YmBh27dpV5Pg1a9awc+fOUk3xVgaachUREalq9m8/w/4vy9RsZmYm9erVK1S2Y8cOmjVrxvbt2+nduzdxcXG0atUKgL/97W/k5ubyi1/8gtdff53bb7+9TP0WlJOTw5YtW1i0aBEZGRn07NmT9evXF/u83lNHBfPy8hgzZoz/+a+hRCN0IiIiVU39lqff3+CiMjVbo0YNsrOzC5U1a9YMgJYtW5KcnMyaNWsK7Q8PD2fIkCHMmzevTH2eKiYmhuuuu47IyEguuugiLrvsMrZs2UJMTAw7d+7018vIyPDHlu/w4cOsX7+e5ORkYmNjWblyJQMGDCAUnlKlhE5ERKSq6fZziKxZ/L7ImtD152Vqtn79+uTm5vqTuv3793P8+HHAG71btmwZbdq0wTnH1q1bAe8aun/84x/86Ec/KlVfEyZM4O233y5Sfv311/PRRx/5+9y8eTMtW7akf//+fPDBB+zfv5/9+/fzwQcf0L9//0LH1q1bl8zMTNLT00lPT6dr164sWLCAxMQKeXrXWVFCJyIiUtVclOStZj01qYusCR2HQcvkMjfdr18/li5dCnjPN01MTKR9+/akpKTw8MMP+xO6ESNGEBcXR1xcHLt372bixIkApKamMmrUKH97PXv25MYbb+S///0vMTExvP/++wCsW7eO888/v0j//fv3p2HDhrRp04aUlBSefvppGjZsSIMGDXj00Ufp3LkznTt3ZuLEiTRo0ACAiRMnsmDBgjJ/5srAiptTrqwSExNdKAx7ioiIBENxD4g/re2LvAUQ+7+E+hd5I3ctk88qhjVr1jB58mReffXVs2rnTPr37+9P7ipSdHR0sffMK+7cm9lq51yFDO9pUYSIiEhV1TL5rBO4U3Xo0IGUlBRyc3P996IrDxWdzG3bto1BgwbRpEmTCu03UEroRERE5Jy64447gh3COZd/Y+HKStfQiYiIiIQ4JXQiIiIiIU4JnYiIiEiIU0InIiJShWWdyGLn4Z1knSi6clNChxI6ERGRKijjcAajF44m6fUkBi8YTNLrSdy/8H4yDmecVbvHjh0jKSmJ3NxcwHv0V79+/WjdujVt2rQhPT0dgC+//JIuXbpwySWXMGTIEE6cOFFim4cOHaJ58+bcd999Z+x/zJgxJCQkkJCQwKWXXlroUWQPPvggbdu2pXXr1owePbrYx4Hlmzt3Lmbmf0rEtm3bSEhIIDo6OpDTUOGU0ImIiFQxGYczGPLuEBZnLOZE3gmO5hzlRN4JFmUsYsi7Q84qqXv55ZcZOHCg/5Ylw4cPZ/z48WzcuJFPP/2U8847D4CHHnqIMWPGsGXLFurXr8/06dNLbPPRRx8lKSkpoP6nTJlCWloaaWlp/OIXv2DgwIEALF++nGXLlrF27VrWr1/PqlWrWLx4cbFtHD58mKlTp9KlSxd/mVa5ioiISKXyx1V/JOtkFnkur1B5nssj62QWk1InlbntWbNmcd111wGwYcMGcnJy6Nu3L+DdlLdmzZo451i4cCGDBw8GYMSIEbzzzjvFtrd69Wr27NlDv379Sh3L7NmzGTp0KABmRnZ2NidOnOD48eOcPHmyxHvKPfroozz44INERUWVus9gUUInIiJShWSdyGLZrmVFkrl8eS6PJRlLynRN3YkTJ9i+fTuxsbEAbN68mXr16jFw4EA6dOjA+PHjyc3NZd++fdSrV4+ICO92uDExMezatatoLHl5jB07lqeffrrUsXz11Vd8+eWX9O7dG4Bu3bqRkpJC06ZNadq0Kf379y/2qRpr1qxh586dXHPNNaXuM5iU0ImIiFQh+4/vJyLs9M8VCA8LZ//x/aVuOzMzs9A1azk5OSxZsoRJkyaxatUqtm/fzowZM4q9ds3MipQ999xzXH311bRo0aLUscyZM4fBgwf7p363bt3Kxo0bycjIYNeuXSxcuJCPP/640DF5eXmMGTOGZ555ptT9BZsSOhERkSqkfvX65OTlnLZObl4u9avXL3XbNWrUIDs7278dExNDhw4daNmyJREREVx//fV89tlnNGrUiAMHDpCT48WRkZFBs2bNirS3YsUKpk2bRmxsLOPGjeOVV17h4YcfDiiWOXPm+KdbAd5++226du1KdHQ00dHRXHXVVaxcubLQMYcPH2b9+vUkJycTGxvLypUrGTBgAKHwHHkldCIiIlVIdLVoejTvQZgVnwKEWRg9Y3oSXa30qznr169Pbm6uP6nr3Lkz+/fvZ+/evQAsXLiQNm3aYGakpKQwd+5cAGbOnOm/7q6gWbNmsWPHDtLT05k0aRLDhw/nqaeeAmDChAm8/fbbxcbxv//9j/3799OtWzd/2QUXXMDixYvJycnh5MmTLF68uMiUa926dcnMzCQ9PZ309HS6du3KggULSExMLPW5qGhK6ERERKqY8Z3HEx0ZXSSpC7MwakfWZlziuDK33a9fP5YuXQpAeHg4kyZNok+fPsTFxeGc48477wTgD3/4A5MnT+biiy9m3759/PSnPwUgNTWVUaNGnbGfdevWcf755xe7b/bs2dx8882FpnEHDx5Mq1atiIuLo3379rRv355rr70WgIkTJ6NcNkgAACAASURBVLJgwYIyf+bKwE53D5bKJjEx0YXCsKeIiEgwbNy4sdgL/YuTcTiDp1c9zdJdSwkPCyc3L5eeMT0ZlziOmNoxZY5hzZo1TJ48mVdffbXMbQSif//+vP/+++XaR3Gio6PJyiq6YKS4c29mq51zFTK8d/qrIkVEROQHKaZ2DH/q/SeyTmSx//h+6levX6Zp1lN16NCBlJQUcnNz/QsSykNFJ3Pbtm1j0KBBJd7qJNiU0ImIiFRh0dWiz0kiV9Add9xxTturDHRjYREREREpV0roREREREKcEjoRERGREKdr6ERERKqo7M2bOTjvLU7u3k1k06bUHTSQqEsvDXZYUgYaoRMREali8rKz2Xn3PaTfNITv/v53Dn/wAd/9/e+k3zSEnXffQ16Bpz2U1rFjx0hKSiI3N5ePPvqIhIQE/ysqKop33nkHgP/+97907NiRhIQEevTowdatW0ts89ChQzRv3pz77rvvjP1/9dVX9OnTh/j4eJKTk8nIyPCXd+rUiYSEBNq2bcvzzz9f7PHHjx9nyJAhXHzxxXTp0oX09HTAW+WakJBAdPS5XUByriihExERqWJ2PTCGIytW4LKzITfXK8zNxWVnc2TFCnaNGVPmtl9++WUGDhxIeHg4KSkppKWlkZaWxsKFC6lZsyb9+vUD4J577mHWrFmkpaVxyy238Nvf/rbENh999FGSkpIC6n/cuHEMHz6ctWvXMnHiRCZMmABA06ZNWb58OWlpaXzyySc89dRTfP3110WOnz59OvXr12fr1q2MGTOGhx56CNAqVxEREalEsjdv5sjKlbjjx4vd744f58iKlRzfsqVM7c+aNavYx3jNnTuXq666ipo1awJgZhw6dAiAgwcPFvssV4DVq1ezZ88efyJ4Jhs2bKBPnz4ApKSkMH/+fACqVatG9erVAW8ULi8vr9jj58+fz4gRIwDv6RL//e9/CYWHMCihExERqUIOznsLd/Lkaeu4kyc5MG9eqds+ceIE27dvJzY2tsi+OXPmMHToUP/2Sy+9xNVXX01MTAyvvvoqDz/8cJFj8vLyGDt2LE8//XTAMbRv3555vtjffvttDh8+zL59+wDYuXMn8fHxtGjRgoceeqjYJHLXrl20aNECgIiICOrWres/vjJTQiciIlKFnNy9+/tp1pLk5nJy9zelbjszM5N69eoVKd+9ezfr1q2jf//+/rIpU6bwz3/+k4yMDG6//XZ++ctfFjnuueee4+qrr/YnWIGYNGkSixcvpkOHDixevJjmzZsTEeGtAW3RogVr165l69atzJw5kz179hQ5vrjRuILPhK2stMpVRESkCols2hTCw0+f1IWHe/VKqUaNGmQXs6DijTfe4IYbbiAyMhKAvXv38vnnn9OlSxcAhgwZwpVXXlnkuBUrVrBkyRKee+45srKyOHHiBNHR0Tz11FMlxtCsWTPeeustALKyspg3bx5169YtUqdt27YsWbKEwYMHF9oXExPDzp07iYmJIScnh4MHD9KgQYPSnYgg0AidiIhIFVJ30EDMl1iVxCIjqTdoYKnbrl+/Prm5uUWSutmzZxeabq1fvz4HDx5k8+bNAPznP/8p8mB78K7H27FjB+np6UyaNInhw4f7k7kJEybw9ttvFzkmMzPTf33ck08+6X8MWUZGBseOHQNg//79LFu2jMsuu6zI8QMGDGDmzJmAd91f7969Q2KETgmdiIhIFRJ16aXU6toV8y0QOJVVr06tbl2pfsklZWq/X79+LF261L+dnp7Ozp07C61SjYiI4MUXX2TQoEG0b9+eV1991X+dXGpqKqNGjTpjP+vWreP8888vUr5o0SIuu+wyLr30Uvbs2cMjjzwCwMaNG+nSpQvt27cnKSmJcePGERcXB8DEiRNZsGABAD/96U/Zt28fF198MZMnTz7taGBlYqGwciNfYmKiS01NDXYYIiIildLGjRuLHek6VV52NrvGjOHIipXeAoncXAgPxyIjqdWtK82nTCEsKqpMMaxZs4bJkyfz6quvlun4QPXv35/333+/XPsoTnR0NFlZWUXKizv3ZrbaOZdYEXHpGjoREZEqJiwqihZ/+cv3T4r45hsimzal3qCBZR6Zy9ehQwdSUlLIzc0lPDz8HEVcVEUnc9u2bWPQoEE0adKkQvsNlBI6ERGRKirq0kuJmlD0diFnK/+6tR8S3VhYRERERMqVEjoRERGREKeETkRERCTEKaETERGp4s7lHS/MjLFjx/q3J02axOOPP16oTvv27Qvdl07OnhZFiIiIVEEnsnNY8/4O1n+8i+wjJ4mqFUm7Xs3p0P8CqkWVPT2oXr06b731FhMmTKBRo0ZF9m/cuJG8vDw+/vhjjhw5Qq1atc7mY4hP0EfozCzczNaY2bvBjkVERKQqOJGdw9w/pLLmPzvIPnISgOwjJ1nznx3M/UMqJ7Jzytx2REQEd911F1OmTCl2/2uvvcawYcPo16+f/2a+cvaCntAB9wMbgx2EiIhIVbHm/R0c2ptNbk5eofLcnDwO7c1mzQc7zqr9e++9l1mzZnHw4MEi+15//XWGDBnC0KFDmT179ln1I98LakJnZjHAT4CXghmHiIhIVbL+411Fkrl8uTl5rF+866zar1OnDsOHD2fq1KmFyletWkXjxo258MIL6dOnD5999hn79+8/q77EE+wRumeBB4Hiv1WAmd1lZqlmlrp3796Ki0xEROQHyDnnn2YtSfaRk2e9UOKBBx5g+vTpHDlyxF82e/ZsNm3aRGxsLK1ateLQoUPMmzfvrPoRT9ASOjO7BvjWObf6dPWcc391ziU65xIbN25cQdGJiIj8MJkZUbUiT1snqlYkZnZW/TRo0ICbbrqJ6dOnA5CXl8ebb77J2rVrSU9PJz09nfnz52va9RwJ5ghdd2CAmaUDc4DeZvb3IMYjIiJSJbTr1ZzwiOJTgPCIMNolNT8n/YwdO5bMzEwAPv74Y5o3b07z5t+33atXLzZs2MDu3bvPSX9VWdBuW+KcmwBMADCzZGCcc+62YMUjIiJSVXTofwHb0r4tsjAiPCKMOo2j6NDvgjK3nZWV5X/fpEkTjh496t9euXJlobrh4eFK5s6RYF9DJyIiIhWsWlQEgx9KpEO/C/zTr1G1IunQ7wIGP5R4Vvehk+CoFD8x59wiYFGQwxAREakyqkVF0GVAS7oMaIlz7qyvmZPg0gidiIhIFadkLvQpoRMREfkBOZfPZZXAVIZzroRORETkByIqKop9+/ZVigSjqnDOsW/fPqKiooIaR6W4hk5ERETOXkxMDBkZGehG/BUrKiqKmJiYoMaghE5EROQHIjIykosuuijYYUgQaMpVREREJMQpoRMREREJcUroREREREKcEjoRERGREKeETkRERCTEKaETERERCXFK6ERERERCnBI6ERERkRCnhE5EREQkxCmhExEREQlxSuhEREREQpwSOhEREZEQp4ROREREJMQpoRMREREJcUroREREREKcEjoRERGREKeETkRERCTEKaETERERCXFK6ERERERCnBI6ERERkRCnhE5EREQkxCmhExEREQlxSuhEREREQpwSOhEREZEQp4ROREQCZmaMHTvWvz1p0iQef/zxc9Z+eno67dq1K1T2+OOPM2nSpHPWR6BO1+8VV1xRwdGInJ4SOhERCVj16tV56623yMzMDHYoQbV8+fIiZbm5uUGIRMSjhE5ERAIWERHBXXfdxZQpU4rs27t3L4MGDaJz58507tyZZcuWARAXF8eBAwdwztGwYUNeeeUVAIYNG8aHH35Yqv5ffPFFOnfuTPv27Rk0aBBHjx4FYOTIkdxzzz2kpKTQsmVLFi9ezB133EHr1q0ZOXKk//jo6GjGjh1Lx44d6dOnD3v37gVg6tSptGnThvj4eG6++WZ//Q0bNpCcnEzLli2ZOnVqoXYAFi1aREpKCrfccgtxcXHk5uYyfvx4OnfuTHx8PC+88EKpPp9IWSmhExGREi3/ejl3/PsOOr3aiU6vduJ47nEuH3Q5s2bN4uDBg4Xq3n///YwZM4ZVq1Yxb948Ro0aBUD37t1ZtmwZX3zxBS1btmTJkiUArFy5kq5duxbpc9u2bSQkJPhfzz//vH/fwIEDWbVqFZ9//jmtW7dm+vTp/n379+9n4cKFTJkyhWuvvZYxY8bwxRdfsG7dOtLS0gA4cuQIHTt25LPPPiMpKYknnngCgKeeeoo1a9awdu3aQv1t2rSJ999/n08//ZQnnniCkydPFon3008/5Xe/+x0bNmxg+vTp1K1bl1WrVrFq1SpefPFFvvzyy7KefpGARQQ7ABERqZyeS3uOGV/M4FjOMX9Znsvj4U8fpl3/dkydOpUaNWr493344Yds2LDBv33o0CEOHz5Mz549+fjjj7nwwgu55557+Otf/8quXbto0KCBf6SroFatWvkTMKDQNXrr16/n//7v/zhw4ABZWVn079/fv+/aa6/FzIiLi6NJkybExcUB0LZtW9LT00lISCAsLIwhQ4YAcNtttzFw4EAA4uPjufXWW7n++uu5/vrr/W3+5Cc/oXr16lSvXp3zzjuPPXv2EBMTUyjeyy+/nIsuugiADz74gLVr1zJ37lwADh48yJYtW/z7RcqLRuhERKSItG/T+Nv6vxVK5vJl52azq8Munn/xeY4cOeIvz8vLY8WKFaSlpZGWlsauXbuoXbs2vXr1YsmSJSxZsoTk5GQaN27M3Llz6dmzZ6njGjlyJNOmTWPdunU89thjZGdn+/dVr14dgLCwMP/7/O2cnJxi2zMzAN577z3uvfdeVq9eTadOnfz1C7YTHh5ebDu1atXyv3fO8ec//9l/Dr788kv69etX6s8pUlpK6EREpIiX17/M8dzjJe7Pq5FHsyuaFZry7NevH9OmTfNv54+ytWjRgszMTLZs2ULLli3p0aMHkyZNKlNCd/jwYZo2bcrJkyeZNWtWqY/Py8vzj5699tpr9OjRg7y8PHbu3ElKSgp//OMf/aN/ZdG/f3/+8pe/+KdmN2/eXCjpFSkvmnIVEZEi1u5di8OVuD+PPKL6RJG54PvVrlOnTuXee+8lPj6enJwcevXq5b8erUuXLv5VoD179mTChAn06NGj1HH95je/oUuXLlx44YXExcVx+PDhUh1fq1YtvvjiCzp16kTdunV5/fXXyc3N5bbbbuPgwYM45xgzZgz16tUrdWwAo0aNIj09nY4dO+Kco3HjxrzzzjtlakukNMy5kn9hK5vExESXmpoa7DBERH7w+rzZh2+PfnvaOk1rNeWDwR9UUETnRnR0dJlH30RKy8xWO+cSK6IvTbmKiEgRyTHJRFjJkziRYZH0vqB3BUYkIqejhE5ERIoY3nY4EWElJ3ThFs6trW+twIjODY3OyQ+VEjoRESniwjoX8nTS00SFR1EtrJq/vHp4daLCo3gm+Rla1G4RxAhFpCAtihARkWIlt0jmvYHv8cb/3mDJLu9mwEnNk7jpRzfRqEajIEcnIgVpUYSIiIhIOdCiCBEREREJmBI6ERERkRCnhE5EREQkxCmhExEREQlxSuhEREREQpwSOhEREZEQp4ROREREJMQpoRMREREJcUroREREREKcEjoRERGREBe0hM7MoszsUzP73My+MLMnghWLiIiISCiLCGLfx4HezrksM4sElprZv5xzK4MYk4iIiEjICVpC55xzQJZvM9L3csGKR0RERCRUBfUaOjMLN7M04FvgP865T4IZj4iIiEgoCmpC55zLdc4lADHA5WbW7tQ6ZnaXmaWaWerevXsrPkgRERGRSq5SrHJ1zh0AFgFXFrPvr865ROdcYuPGjSs8NhEREZHKLpirXBubWT3f+xrAj4FNwYpHREREJFQFc5VrU2CmmYXjJZZvOOfeDWI8IiIiIiEpmKtc1wIdgtW/iIiIyA9FpbiGTkRERETKTgmdiIiISIhTQiciIiIS4pTQiYiIiIQ4JXQiIiIiIU4JnYiIiEiIU0InIiIiEuKU0ImIiIiEOCV0IiIiIiFOCZ2IiIhIiFNCJyIiIhLilNCJiIiIhDgldCIiIiIhTgmdiIiISIhTQiciIiIS4pTQiYiIiIQ4JXQiIiIiIU4JnYiIiEiIU0InIiIiEuKU0ImIiIiEOCV0IiIiIiFOCZ2IiIhIiFNCJyIiIhLilNCJiIiIhDgldCIiIiIhTgmdiIiISIhTQiciIiIS4pTQiYiIiIQ4JXQiIiIiIe6MCZ2Z/SGQMhEREREJjkBG6PoWU3bVuQ5ERERERMomoqQdZnYP8HOgpZmtLbCrNrCsvAMTERERkcCUmNABrwH/Ap4EHi5Qftg59125RiUiIiIiASsxoXPOHQQOAkPNLBxo4qsfbWbRzrkdFRSjiIiIiJzG6UboADCz+4DHgT1Anq/YAfHlF5aIiIiIBOqMCR3wAHCZc25feQcjIiIiIqUXyCrXnXhTryIiIiJSCQUyQrcdWGRm7wHH8wudc5PLLSoRERERCVggCd0O36ua7yUiIiIilcgZEzrn3BMAZlbLOXek/EMSERERkdII5NFf3cxsA7DRt93ezJ4r98hEREREJCCBLIp4FugP7ANwzn0O9CrPoEREREQkcIEkdDjndp5SlFsOsYiIiIhIGQSyKGKnmV0BODOrBozGN/0qIiIiIsEXyAjd3cC9QHMgA0jwbYuIiIhIJRDIKtdM4NYKiEVEREREyiCQZ7k2Bu4EYgvWd87dUX5hiYiIiEigArmGbj6wBPgQLYYQERERqXQCSehqOuceKvdIRERERKRMAlkU8a6ZXV3ukYiIiIhImQSS0N2Pl9Rlm9lh3+tQeQcmIiIiIoEJZJVr7YoIRERERETKJpBr6DCzAXz/uK9Fzrl3yy8kERERESmNM065mtlTeNOuG3yv+31lIiIiIlIJBDJCdzWQ4JzLAzCzmcAa4OGz6djMWgCvAOcDecBfnXN/Ops2RURERKqiQBZFANQr8L7uOeo7BxjrnGsNdAXuNbM256htERERkSojkBG6J4E1ZvYRYHjX0k04246dc7uB3b73h81sI97zYjecbdsiIiIiVUkgq1xnm9kioLOv6CHn3DfnMggziwU6AJ8Us+8u4C6ACy644Fx2KyIiIvKDEOiUazcgGUjyvT9nzCwamAc84Jwrcn8759xfnXOJzrnExo0bn8uuRURERH4QAlnl+hxwN7AOWA/8zMz+37no3Mwi8ZK5Wc65t85FmyIiIiJVTSDX0CUB7ZxzDvyrXNedbcdmZsB0YKNzbvLZticiIiJSVQUy5fo/oODFay2Ateeg7+7AMKC3maX5XnpmrIiIiEgpBTJC1xDYaGaf+rY7AyvMbAGAc25AWTp2zi3FWzUrIiIiImchkIRuYrlHISIiIiJlFshtSxYDmFmdgvWdc9+VY1wiIiIiEqAzJnS++8D9BjiG94guAxzQsnxDExEREZFABDLlOh5o65zLLO9gRERERKT0Alnlug04Wt6BiIiIiEjZBDJCNwFYbmafAMfzC51zo8stKhEREREJWCAJ3QvAQrybCeeVbzgiIiIiUlqBJHQ5zrlflnskIiIiIlImgVxD95GZ3WVmTc2sQf6r3CMTERERkYAEMkJ3i++/EwqU6bYlIiIiIpVEIDcWvqgiAhERERGRsgnkxsKRwD1AL1/RIuAF59zJcoxLRERERAIUyJTrX4BI4Dnf9jBf2ajyCkpEREREAhdIQtfZOde+wPZCM/u8vAISERERkdIJZJVrrpm1yt8ws5ZAbvmFJCIiIiKlEeizXD8ys+2AARcCt5drVCIiIiISsEBWuf7XzC4BLsNL6DY5546f4TARERERqSBnnHI1s3uBGs65tc65z4GaZvbz8g9NRERERAIRyDV0dzrnDuRvOOf2A3eWX0giIiIiUhqBJHRhZmb5G2YWDlQrv5BEREREpDQCWRTxPvCGmT2P98ivu4F/l2tUIiIiIhKwQBK6h4C78J4WYcAHwEvlGZSIiIiIBC6QVa55wPO+l4iIiIhUMoFcQyciIiIilZgSOhEREZEQp4ROREREJMSVeA2dmf0Db1VrsZxzA8olIhEREREpldON0E0CngG+BI4BL/peWcD68g9NJHSMGTOGZ5991r/dv39/Ro0a5d8eO3YskydPLpe+R40axYYNG8qlbRERCQ0lJnTOucXOucVAB+fcEOfcP3yvW4AeFReiSOV3xRVXsHz5cgDy8vLIzMzkiy++8O9fvnw53bt3L5e+X3rpJdq0aVMubYuISGgI5Bq6xmbWMn/DzC4CGpdfSCKhp3v37v6E7osvvqBdu3bUrl2b/fv3c/z4cTZu3MgDDzxAWlpaoWPWrl3Ld999x/XXX098fDxdu3Zl7dq1ADz++OOMGDGCfv36ERsby1tvvcWDDz5IXFwcV155JSdPngQgOTmZ1NRUAKKjo3nkkUdo3749Xbt2Zc+ePQBs27aNrl270rlzZyZOnEh0dHRFnh4RESlngSR0Y4BFZrbIzBYBHwEPlGtUIqEgIxXeugum96VZ6pNEmGPHjh0sX76cbt260aVLF1asWEFqairx8fHcfffdzJgxA4DNmzdz/Phx4uPjeeyxx+jQoQNr167l97//PcOHD/d3sW3bNt577z3mz5/PbbfdRkpKCuvWraNGjRq89957RUI6cuQIXbt25fPPP6dXr168+OKLANx///3cf//9rFq1imbNmlXI6RERkYpzxoTOOfdv4BLgft/rMufc++UdmEil9p/HYOY1sO5N2PkprJlF9wbfsXzmE/6Erlu3bixfvpzly5dzxRVXcOONN/Luu+9y8uRJXn75ZUaOHAnA0qVLGTZsGAC9e/dm3759HDx4EICrrrqKyMhI4uLiyM3N5corrwQgLi6O9PT0ImFVq1aNa665BoBOnTr566xYsYIbb7wRgFtuuaUcT4yIiARDII/+AugExPrqtzcznHOvlFtUIpXZ9sXw6V/h5LHvy1wuVzSH5f+czbojF9GuXTtatGjBM888Q506dbjjjjuoWbMmffv2Zf78+bzxxhv+aVLnii4mNzMAqlevDkBYWBiRkZH+8rCwMHJycoocV7BOeHh4sXVEROSH54wjdGb2Kt6K1x5AZ98rsZzjEqm8Vv4/OHm0SHH3C8J5d9NxGoRlER4eToMGDThw4AArVqygW7dugLcidfTo0XTu3JkGDRoA0KtXL2bNmgXAokWLaNSoEXXq1DmnIXft2pV58+YBMGfOnHPatoiIBF8gI3SJQBtX3DCCSFW0b3uxxXHnhZF5NI9bLqj2fVlcHFlZWTRq1AjwpkHr1KnD7bff7q/z+OOPc/vttxMfH0/NmjWZOXPmOQ/52Wef5bbbbuOZZ57hJz/5CXXr1j3nfYiISPDYmfI0M3sTGO2c210xIZUsMTHR5U9TiQTN3wfB1g+L32fh0HEYXPunYnd//fXXJCcns2nTJsLCKu5BLUePHqVGjRqYGXPmzGH27NnMnz+/wvoXEamKzGy1c65CZjUDGaFrBGwws0+B4/mFelKEVFld74Gvlhc77Up4JHS+s9jDXnnlFR555BEmT55cockcwOrVq7nvvvtwzlGvXj1efvnlCu1fRETKVyAjdEnFlftuOlyhNEInlYJz8M9xkPba90mdhUFEdej1EPQcE9z4RESkUqhUI3TOucVm1gRvMQTAp865b8s3LJFKzAyungStB8Anz8OBHdD4Muh6L8R0CnZ0IiJSBZ0xoTOzm4CngUWAAX82s/HOubnlHJtI5WUGLZO8l4iISJAFcg3dI0Dn/FE5M2sMfAgooRMRERGpBAK5MjvslCnWfQEeJyIiIiIVIJARun+b2fvAbN/2EOBf5ReSiIiIiJRGIIsixpvZQLwnRRjwV+fc2+UemYiIiIgEJJBFERcB/3TOveXbrmFmsc659PIOTkRERETOLJBr4d4E8gps5/rKRERERKQSCCShi3DOncjf8L2vdpr6IiIiIlKBAkno9pqZ/zFfZnYdkFl+IYmIiIhIaQSS0N0N/MrMdprZDuAh4GflG5ZUBd988w0333wzrVq1ok2bNlx99dVs3rw5aPE8++yzHD36/fNZr776ag4cOFDqdtLT03nttdfOZWgiIiKndcaEzjm3zTnXFWgNtHXOXeGc21r+ockPmXOOG264geTkZLZt28aGDRv4/e9/z549e4IW06kJ3T//+U/q1atX6naU0ImISEU7Y0JnZk3MbDrwpnPusJm1MbOfVkBs8gP20UcfERkZyd133+0vS0hIoEePHowfP5527doRFxfH66+/DsCiRYtITk5m8ODB/OhHP+LWW2/FOQdAbGwsjz32GB07diQuLo5NmzYBcOTIEe644w46d+5Mhw4dmD9/PgC5ubmMGzeOuLg44uPj+fOf/8zUqVP5+uuvSUlJISUlxd9uZqZ3dcErr7xCfHw87du3Z9iwYQCMHDmSuXO/f2BKdHQ0AA8//DBLliwhISGBKVOmlOdpFBERAQKbcp0BvA80821vBh4or4DkByw3Bza9B4ueYv27L9ApvnWRKm+99RZpaWl8/vnnfPjhh4wfP57du3cDsGbNGp599lk2bNjA9u3bWbZsmf+4Rv+fvfuOr/n6Hzj++tybcbOETDvD10pyswdRErRifyn9KmpU8TVrVVtUjS5aStOl+lNa9UVtpUqRCEUlkYSkNYrYNEgiO3ec3x+pW2kSo42EOs/HI4/mfsY55/O52r6d8T5OThw+fJiRI0cyb948AN566y3atWtHfHw8MTExTJ48mby8PBYvXsyZM2dISkriyJEj9O/fnxdffJG6desSExNDTExMqTalpaXx1ltvsXv3blJSUvjggw/u+Jhz5syhdevWJCcnM2HChL/71lAUxRREAuj1epydnenatevfLvuviI2NfaB1Z2Vl8cknn5g+yx5PSZKku7uXgM5JCPENv6cuEULoKUldIkn3LuM4LPCG9cMh9h04/h0c5GmObgAAIABJREFUXg77Fpa6bN++ffTt2xe1Wo2rqysRERHEx8cDEBoaSv369VGpVPj7+5Oenm667+mnnwYgKCjIdHzHjh3MmTMHf39/IiMjKSws5Ny5c+zcuZMRI0ZgZlaShtHBweGOTd+9eze9e/fGycnpnq6vbDY2NqSmplJQUADADz/8QL169aq0DVVJBnSSJEn3714CujxFURwBAaAoSgsguzIqVxTlC0VRflMUJbUyypMeUvoiWNYFcq9CcS4A3o5GEi8Ww565cOw706W3hlHLY2lpafpdrVaj1+vLnLv9uBCCdevWkZycTHJyMufOnaN58+YIIVAU5Z6bX9H1ZmZmGI1G0zXFxcVlrqksnTp1YuvWrQCsXLmSvn37ms4dOnSI8PBwAgICCA8P5/jx40BJz2JoaCj+/v74+vpy8uRJ8vLy6NKlC35+fvj4+JiGtGfPnk1ISAg+Pj4MHz7c9D38+uuvPPnkk/j5+REYGMipU6cAyM3NrXD4+9YwdUJCApGRkQDs2bMHf39//P39CQgIICcnB4D33nuPkJAQfH19mTFjBlAyZH3q1Cn8/f2ZPHlymSHs8p5LkiTpcXcvAd1EYDPQSFGUH4GvgLGVVP8yoGMllSU9rH75FnQF/P53AgDaeagpMgg+P5gFe+YAEB8fT61atVi9ejUGg4GMjAzi4uIIDQ39S9VGRUXx4YcfmoKNpKQkADp06MCiRYtMgd+NGzcAsLOzMwUat2vfvj3ffPMN169fL3W9u7s7iYmJAGzatAmdTnfHcu5Z6jr4OBRm1YK36oKhmGe7PcmqVasoLCzkyJEjhIWFmS5v1qwZcXFxJCUlMXv2bKZOnQrAokWLGDduHMnJySQkJFC/fn2+//576tatS0pKCqmpqXTsWPKv35gxY4iPjzf1BG7ZsgWA/v37M3r0aFJSUti/fz916tQxvcuKhr/LM2/ePD7++GOSk5PZu3cvVlZW7Nixg5MnT3Lo0CGSk5NJTEwkLi6OOXPm0KhRI5KTk3nvvffKDGGX91ySJEmPu3tZ5XoYiADCKUlX4i2EOFIZlQsh4oAblVGW9BC7cMjUM3eLoihs6GPND6f1NJryI97e3sycOZN+/fqZFh+0a9eOd999l9q1a/+laqdPn45Op8PX1xcfHx+mT58OwNChQ2nYsKGpnlvDecOHD6dTp06mRRG3eHt7M23aNCIiIvDz82PixIkADBs2jD179hAaGspPP/2EjY0NAL6+vpiZmeHn53f/iyJ2vwmbxpQMUQsj6PLAqMN3339JP32SlStX0rlz51K3ZGdn88wzz+Dj48OECRNIS0sDoGXLlrz99tvMnTuXs2fPYmVlhVarZefOnbzyyivs3bsXe3t7oGSRSlhYGFqtlt27d5OWlkZOTg4XL16kZ8+eAGg0GqytrYE7D3+Xp1WrVkycOJHo6GiysrIwMzNjx44d7Nixg4CAAAIDAzl27Ng99baV91ySJEmPPSFEuT9ACFD7ts8DgU1ANOBQ0X33+wO4A6n3cm1QUJCQHkG73xZiloMQM2qU//N2g+pu4cMh86wQbziXeT825ggxy0HM6hsiHBwcxJEjR0RMTIzo0qWLEEKIQYMGiQ8++EAIIcSZM2eEm5ubqchff/1VfPDBB8LDw0Ps2rVLCCHE9evXxfLly0WrVq3ErFmzREFBgXBxcRHnzp0TQggxY8YMMWPGDJGdnS3q1atXppm31y2EEKNHjxZLly4VQgjRqFEjcfXqVSGEEHv37hURERGm644cOSLmzJkj6tWrJ3755RcxceJEsWjRojLlnzlzRnh7e1dYX0XPJUmS9LABEkQlxUt3+7lTD91nQDGAoihtgDmUDLdmA4sfSHRZDkVRhiuKkqAoSkJGRkZVVStVJm1vUJmVf05lDn59qrY9D6vU9VDRHEKjniH1TvP666+j1WpLncrOzjYtkli2bJnp+OnTp/H09OTFF1+ke/fuHDlyhEuXLmFtbc1zzz3HSy+9xOHDhyksLARKVgrn5uaaUrHUqFGD+vXrs3HjRgCKiopK5ekrz+3D0OvWrTMdP3XqFFqtlldeeYXg4GCOHTtGVFQUX3zxBbm5Jb23Fy9e5LfffiszZP3nz+U9lyRJ0uPuTgGdWghxazi0D7BYCLFOCDEd+NeDb1oJIcRiIUSwECLY2dm5qqqVKpNTYwgcCObWpY+rzMDaAdpMrp52PWzyr4Oh4oUV9W10jBtbdvrqyy+/zJQpU2jVqhUGwx8L0FevXo2Pjw/+/v4cO3aMgQMHcvToUdOCgrfeeovXXnuNmjVrMmzYMLRaLT169CAkJMRUxvLly4mOjsbX15fw8HCuXLlyx0eYMWMG48aNo3Xr1qjVatPxhQsX4uPjg5+fH1ZWVnTq1IkOHTrQr18/WrZsiVarpXfv3uTk5ODo6EirVq3w8fFh8uTJZYawy3suSZKkx50iKugR+H3lqb8QQq8oyjFguCiZ84aiKKlCCJ9KaYCiuANb7qW84OBgkZCQUBnVSlVNCDj8FcTNg+xzYKYp6blr9zrYuVZ36x4Oqetg84tl5hua1HSD8bI3SpIk6VGhKEqiECK4KuqqYBwMgJXAHkVRrgEFwN7fG/cvKi9tyUogEnBSFOUCMEMIsaQyypYeMooCQYNKfowGUFQlx6Q/NOsG371cfkBnbi17MiVJkqQKVRjQCSHeUhRlF1AH2CH+6MpTUUlpS4QQfe9+lfSPo1Lf/ZrHkZkFDPoWvuxakruvOLdkWFplBoEDIOC56m6hJEmS9JC6Uw8dQoiD5Rw78eCaI0mPOVcvmPgL/LwJLiaAphb4/gccG1V3yyRJkqSH2B0DOkmSqoGZZUkQ5/uf6m6JJEmS9Ii4l50ipAdErVbj7++Pj48P3bp1IysrC/j7m5/f7/3p6en4+Nx5TYqtre1fbs/91iVJkiRJ0v2RAV01srKyIjk5mdTUVBwcHPj444+ru0mSJEmSJD2CZED3kGjZsiUXL140fa5o8/Ndu3YREBCAVqtlyJAhFBUVAfD999/TrFkznnjiCdavX28qJy8vjyFDhhASEkJAQACbNm26YzvutvF5bm4u7du3JzAwEK1WayovPT2d5s2bM2zYMLy9venQoQMFBQUAJCYm4ufnR8uWLWXQKkmSJEkPgAzoqsnt+f8MBgO7du2ie/fupmPlbX5eWFjI4MGDWb16NUePHkWv1/Ppp59SWFjIsGHD+Pbbb9m7d2+p5K9vvfUW7dq1Iz4+npiYGCZPnkxeXl6F7brbxucajYYNGzZw+PBhYmJimDRpkulZTp48yejRo0lLS6NmzZqmnQKef/55oqOjOXDgQKW8O0mSJEmSSpMBXRUqLtTz06bTLJm0l09GxpCfX0ATDy8cHR25ceMGTz31lOna8jY/P378OB4eHjRp0gSAQYMGERcXx7Fjx/Dw8KBx48YoisJzz/2R3mLHjh3MmTMHf39/IiMjKSws5Ny5cxW28W4bnwshmDp1Kr6+vjz55JNcvHiRq1evAuDh4YG/vz8AQUFBpKenk52dTVZWFhEREQAMGDCgcl6mJEmSJEkmMqCrIsWFetbOTSDph3MU5ukAMFdbMLHLJ8wbuZaiwqJSw5GWlpam39VqNXq9nop29QBQKkjSK4Rg3bp1JCcnk5yczLlz52jevHmF5fTr14/NmzdjZWVFVFQUu3fvLnV+xYoVZGRkkJiYSHJyMq6urqa9QCtqc0VtkyRJkiSpcsiArookbT/HzYxCDHpjqeMGvRF9jhnDn3mFefPmodPpKiyjWbNmpKen8+uvvwIl+2xGRETQrFkzzpw5w6lTpwBYuXKl6Z6oqCg+/PBDUzCYlJR0x3bebePz7OxsXFxcMDc3JyYmhrNnz96xvJo1a2Jvb8++ffuAkoBQkiRJkqTKJQO6KpIad7FMMHeLQW9Ed74mfn5+rFq1qsIyNBoNS5cu5ZlnnkGr1aJSqRgxYgQajYbFixfTpUsXnnjiCdzc3Ez3TJ8+HZ1Oh6+vLz4+PkyfPv2O7bzbxuf9+/cnISGB4OBgVqxYQbNmze767EuXLmX06NG0bNmyzBCuJEmSJEl/n3KnYbyHTXBwsEhISKjuZtw3IQSfjIy563WjPm0rhyclSZIk6R9CUZREIURwVdQle+iqgKIoaGzM73iNxsZcBnOSJEmSJP0lMqCrIj5t6qE2K/91q81U+ETUq+IWSZIkSZL0TyEDuioSENWQGs6aMkGd2kxFDWcNAR0aVlPLJEmSJEl61MmAropYaMzo/UowAR0amoZfNTbmBHRoSO9XgrHQmFVzCyVJkiRJelTJKKIKWWjMCOvuSVh3T5mfTZIkSZKkSiN76KqJDOYkSZIkSaosMqCTpAdEUZRSW53p9XqcnZ3p2rXrHe9LSEjgxRdffNDNkyRJkv5B5JCrJD0gNjY2pKamUlBQgJWVFT/88AP16t19NXNwcDDBwVWStkiSJEn6h5A9dJJUifRGPenZ6ZzPOQ9Ap06d2Lp1K1CyJVvfvn1N1x46dIjw8HACAgIIDw/n+PHjAMTGxpp68WbOnMmQIUOIjIzE09OT6Oho0/1ff/01oaGh+Pv789///heDwVBVjylJkiQ9ZGRAJ0mVQAjBV2lfEflNJP/Z8h+e3vQ0hfpCGrRuwKpVqygsLOTIkSOEhYWZ7mnWrBlxcXEkJSUxe/Zspk6dWm7Zx44dY/v27Rw6dIhZs2ah0+n45ZdfWL16NT/++CPJycmo1Wq5T64kSdJjTA65SlIlmJ84n2+OfUOBocB0TCD44voXZB7PZOXKlXTu3LnUPdnZ2QwaNIiTJ0+iKAo6na7csrt06YKlpSWWlpa4uLhw9epVdu3aRWJiIiEhIQAUFBTg4uLy4B5QkiRJeqjJgE6S/qbf8n9j5S8rKTYWlzlXaCikqGkRL730ErGxsVy/ft10bvr06bRt25YNGzaQnp5OZGRkueVbWlqafler1ej1eoQQDBo0iHfeeafSn0eSJEl69MghV0n6m3ad23XHNDROEU4MGj8IrVZb6nh2drZpkcSyZcvuq8727duzdu1afvvtNwBu3LjB2bNn76/hkiRJ0j+GDOgk6W/K0+WhN+orPK9x1NBtULcyx19++WWmTJlCq1at7ntBg5eXF2+++SYdOnTA19eXp556isuXL9932yVJkqR/BkUIUd1tuGfBwcEiISGhupshSaUcuHSA8THjydfnl3veQm3Btz2+pa5t3Spu2eNNURSee+45li9fDpTkAaxTpw5hYWFs2bLlvsvLysrif//7H6NGjarspkqS9A+lKEqiEKJK8lDJHjpJ+pvC6oRRS1MLhbLDruYqc0JcQ2QwVw1uzwMI3HMewIpkZWXxySefVFbzJEmSKpUM6CTpb1IpKhY/tRhHK0eszaxNx63NrHGv4c7cNnOrsXWPtzvlAbxx4wY9evTA19eXFi1acOTIEaDi3H+vvvoqp06dwt/fn8mTJ5Obm0v79u0JDAxEq9WyadMmANLT02nevDnDhg3D29ubDh06mILKzz//nJCQEPz8/OjVqxf5+eX36kqSJN03IcQj8xMUFCQk6WFVpC8Sm3/dLCbvmSym7p0q9pzfI/QGfXU367FlY2MjUlJSRK9evURBQYHw8/MTMTExokuXLkIIIcaMGSNmzpwphBBi165dws/PTwghxIwZM0TLli1FYWGhyMjIEA4ODqK4uFicOXNGeHt7m8rX6XQiOztbCCFERkaGaNSokTAajeLMmTNCrVaLpKQkIYQQzzzzjFi+fLkQQohr166Z7p82bZqIjo5+8C9CkqRqAySIKoqRZNoSSaokFmoLujXqRrdGZRdASA9e7PHfiN51kuNXc7C3MkdnEDRp7k16enq5eQD37dvHunXrAGjXrh3Xr18nOzsbKD/3358JIZg6dSpxcXGoVCouXrxous7DwwN/f38AgoKCSE9PByA1NZXXXnuNrKwscnNziYqKelCvQ5Kkx4wM6CRJeuQt+/EMc78/RoHOCEBekQGdwUjfxQfp0rVbuXkARTkLwm6lnykv99+frVixgoyMDBITEzE3N8fd3Z3CwsJy77815Dp48GA2btyIn58fy5YtIzY29u8/vCRJEnIOnSRJj7jsfB3vbPsjmLvdsSs51A3tzOuvv14mD2CbNm1M26XFxsbi5OREjRo1KqzHzs6OnJycP+rNzsbFxQVzc3NiYmLuKQ9gTk4OderUQafTya3aJEmqVLKHTpKkR9quY1dRq8pP7FygM7AjXce6cePKnJs5cybPP/88vr6+WFtb8+WXX96xHkdHR1q1aoWPjw+dOnXilVdeoVu3bgQHB+Pv70+zZs3u2tY33niDsLAw3Nzc0Gq1pQJESZKkv0PmoZMk6ZH29cGzvLn1ZwrL6aEDaFbbju/Ht6niVkmSJMk8dJIkSfcsxN2hwnMWaoWIJs5V2BpJkqTqIQM6SZIeaU1r2xHsVgtLs7L/OTM3UzG4lXvVN0qSJKmKyYBOkqRH3uKBwbRt5oKFmQo7jRnWFmrcHKxZPbwldeytqrt5kiRJD5xcFCFJ0iPP2sKMRc8F8dvNQk7+lkstawua17EzpSGRJEn6p5MBnSRJ/xguNTS41NBUdzMkSZKqnBxylSRJkiRJesTJgE6SJEmSJOkRJwM6SZIkSZKkR5wM6CRJkiRJkh5xMqCTJEmSJEl6xMmATpKkKmVra1vu8cGDB7N27do73hsZGYnc/k+SJKksGdBJ0h0oisKkSZNMn+fNm8fMmTMrrfz09HQURWH69OmmY9euXcPc3JwxY8b8pTJff/11du7cWVlNlCRJkh4BMqCTpDuwtLRk/fr1XLt27YHV4enpyZYtW0yf16xZg7e3918ub/bs2Tz55JOV0bQHSgjBmDFj8PLyokuXLvz222+mc7NnzyYkJAQfHx+GDx+OEMJ0bs2aNYSGhtKkSRP27t0LQGFhIc8//zxarZaAgABiYmKq/HkkSZKqkwzoJOkOzMzMGD58OAsWLChzLiMjg169ehESEkJISAg//vgjAFqtlqysLIQQODo68tVXXwEwYMCAcnvOrKysaN68uWkocfXq1fznP/+5az3//ve/TWV/9tln9O/fHyg9dBkfH094eDh+fn6EhoaSk5NT9cGP0QAndsCWibD1JRAGEIINGzZw/Phxjh49yueff87+/ftNt4wZM4b4+HhSU1MpKCgoFfDq9XoOHTrEwoULmTVrFgAff/wxAEePHmXlypUMGjSIwsLCB/tckiRJDxEZ0D2mJkyYwMKFC02fo6KiGDp0qOnzpEmTeP/99++rzNjY2FL/U74lPT2d+vXrYzQaSx339/fn0KFDDB06lJ9//vm+6lq0aJEpmKlIQkICL7744n2VW2wo5vv07/k05VNWHluJQDB69GhWrFhBdnZ2qWvHjRvHhAkTiI+PZ926dab316pVK3788UfS0tLw9PQ09SIdPHiQFi1alFvvs88+y6pVq7hw4QJqtZq6devetZ7Fixcze/Zs9u7dy/z58/nwww9LP0txMX369OGDDz4gJSWFnTt3YmVlVbXBT0EmLHoC1j4PCUsg/nPQF8GSp4iL2UXfvn1Nz9uuXTvTbTExMYSFhaHVatm9ezdpaWmmc08//TQAQUFBpKenA7Bv3z4GDBgAQLNmzXBzc+PEiRMP5pkkSZIeQnLrr8dUeHg4a9asYfz48RiNRq5du8bNmzdN5/fv318q4LsXsbGx2NraEh4eXuq4u7s7DRo0YO/evURERABw7NgxcnJyCA0NJTQ0tNzyDAYDarW63HMjRoy4a3uCg4MJDg6+5/YfunyI8THjMQgDBfoCLNQWFOoL+fLUlwwYMIDo6GisrP7Y6H3nzp2lAtGbN2+Sk5ND69atiYuLw83NjZEjR7J48WIuXryIg4NDhQsCOnbsyPTp03F1daVPnz6lzlVUj6urK7Nnz6Zt27Zs2LABBweHUvcdP36cOnXqEBISAkCNGjWAkuBn7NixQOngx9fX957f1T1bPxyu/QrG4j+OCQFXjsCZqyiBZb+fwsJCRo0aRUJCAg0aNGDmzJmlAk5LS0sA1Go1er3+9yJFmXIkSZIeJ7KH7jEiDAbyDh4ke/Nm/C0sTL1paWlp+Pj4YGdnR2ZmJkVFRfzyyy8EBASQmJhIREQEQUFBREVFcfnyZQCio6Px8vLC19eXZ599lvT0dBYtWsSCBQvw9/c39Urd0rdvX1atWmX6vGrVKvr27QuUXrloa2vL66+/TlhYGAcOHGDJkiU0adKEyMhIhg0bZlooMHPmTObNm2e6/5VXXikzryo2NpauXbsCcOjQIcLDwwkICCA8PJzjx4+Xal96djpjdo8hR5dDvj4fgaDIUATAV2lf0aBzA5YsWUJeXp7pHqPRyIEDB0hOTiY5OZmLFy9iZ2dHmzZt2Lt3L3v37iUyMhJnZ2fWrl1L69atK/xuLCwsCAoKYv78+fTq1avUuYrqgZJeNkdHRy5dulT2+xai3M3pqyz4uXkJzuwpHczdoi+ijd05Vv3vawwGA5cvXzYN/d4K3pycnMjNzb3ryleANm3asGLFCgBOnDjBuXPnaNq0aeU9iyRJ0kNOBnSPieytWzn5RGsujB7D5ZmzMM5+A5GRwdFFn7F//35atmxpCqISEhLw9fVFURTGjh3L2rVrSUxMZMiQIUybNg2AOXPmkJSUxJEjR1i0aBHu7u6MGDGCCRMmkJycXCZ4+c9//sPGjRtNPSqrV6/m2WefLdPOvLw8fHx8+Omnn/D09OSNN97g4MGD/PDDDxw7dqzC5ytvXtXtmjVrRlxcHElJScyePZupU6eWOr80bSnFhnICD6DQUMjys8vp/UxvlixZYjreoUMHPvroI9Pn5ORkABo0aMC1a9c4efIknp6ePPHEE8ybN++OAR2UDHPPnTsXR0fHUscrqufQoUNs27aNpKQk5s2bx5kzZ8o886VLl4iPjwcgJycHvV5fdcHPtZOgtqzwdE+tLY3rO6PVahk5cqSp97ZmzZoMGzYMrVZLjx49TD2MdzJq1CgMBgNarZY+ffqwbNkyU0+eJEnS40AOuT4GsjZt5sqMGYjbhq0EEGCpYcc775Dg1pBXP/yQixcvsn//fuzt7U29WKmpqTz11FNAyRBonTp1APD19aV///706NGDHj163LUNtWvXxtvbm127duHq6oq5uTk+Pj5lrlOr1aYeqkOHDhEREWEaSnzmmWcqnBdV3ryq22VnZzNo0CBOnjyJoijodLpS5/ec34NBGCpsf7GhmN5De/PJx5+YjkVHRzN69Gh8fX1NgdKiRYsACAsLw2AoKa9169ZMmTKFJ554osLyAby9vctd3VpePR988AHDhg1j6dKl1K1bl/nz5zNkyBB2795tus/CwoLVq1czduxYCgoKsLKyYufOnYwaNYoRI0ag1WoxMzN7cMGPjTMY9WUO504tGfpVjDo+Wjgf7OuVuebNN9/kzTffLHM8NjbW9LuTk5Ppu9ZoNCxbtqxSmi1JkvQokgFdFXnrrbf43//+h1qtRqVS8dlnnxEWFnbf5cTGxmJhYWGapzZ48GC6du1K7969y71eFBdz9Y038E5JprGlJXohMFMU/l3DHn8rDUk3b5KSkIBXo0Y0aNCA+fPnU6NGDYYMGcKhQ4dQq9WmHqHbbd26lbi4ODZv3swbb7xBWloaBw8epE2bNhW2/dawq6urq2m49c80Go1p3tz9DA2WN6/qdtOnTzfNNUtPTycyMrLUeaMwlrkHwOszLwAUFGo51yI/P990zsnJidWrV5d73/Lly02/h4eHl1kQcou7uzupqalljg8ePJjBgwffsZ6UlBTT7927d6d79+4ApQKbkJAQDh48WObeKgl+XJpDjTpw/VQ5JxVw9Sk3mJMkSZLuX7UOuSqK0lFRlOOKovyqKMqr1dmWB+nAgQNs2bKFw4cPc+TIEXbu3EmDBg3+UlkVrSStSG5cHEIILBWFDe4efOvhyf/Vb0BcXi4niorYk5dLTbUZ+TGxODg4kJWVxYEDB2jZsiUNGjSguLiYAwcOAKDT6UhLS8NoNHL+/Hnatm3Lu+++S1ZWFrm5uRw6dIjMzMwK29KrVy++++67Codb/yw0NJQ9e/aQmZmJXq9n3bp19/zcf5adnU29eiXBQ3nBTFidMFRKxf86KIqCp73nX67/saQo0GsJWNiActvfHVXmYGkHPT6tvrZJkiT9w1RbQKcoihr4GOgEeAF9FUXxqq72PEiXL1/GycnJ1Ivk5ORkSkuxa9cuAgIC0Gq1DBkyhKKikon47u7upmS2CQkJREZGVrjwIC4ujvDwcDw9PctMINddugx/Gl50NDNjlmtttt+8SabBgIeZGVETJxAYGEh6ejoWFhY4OTlhbm5OYGAgr7zyCo0bN6ZGjRps2rSJH374AR8fHzQaDS4uLowdO5avvvqKnJwcPvzwQ2xtbdm7dy8jR44kODgYb29vZsyYQc2aNWnRogWurq54eHjc9b3Vq1ePqVOnEhYWxpNPPomXlxf29vZ/6Tt4+eWXmTJlCq1atTINhd5uqHYoFiqLcu/VmGkY6DUQc7X5X6r7sVY3AEb8CIHPga0r2NWBkCEw6iA4y0ULkiRJlUYIUS0/QEtg+22fpwBT7nRPUFCQeFRczy0SH+46IXp/+qN47tMY4dnUWzRu3FiMHDlSxMbGCiGEKCgoEPXr1xeAmDhxohgwYIBYsGCBeO+994S9vb3IyMgQQggRHx8vIiIihBBCzJgxQ7z33numegYNGiR69+4tDAaDSEtLE40aNSrVjqzNm8VOL2+hgPi5abNSPzVUKhHX6F/isK+vuPTVciGEECdOnBC33nNMTIzo0qWL+PHHH0VgYKA4e/asqc3Hjx8XQghTm4UQws3NzdRmIYS4fv26EEIIvV4vIiIiREpKyn2/x5ycHCGEEDqdTnTt2lWsX7/+vsu4VzvO7BDBy4NF8PJg4bMFFo8oAAAgAElEQVTMR/h96SeClgeJ1/a+JgxGwwOrV5IkSfpnAhJEFcVV1TmHrh5w/rbPF4D7n1T2EDpxNYfen+6nSG+kSF8yd8qq91zqF53FQXOFPn36MGfOHAICAvDw8CAjI4P169czf/58vv766zJ53O6mR48eqFQqvLy8uHr1aqlztm3bQgXzt27NUNMbjLy05VuOvDsXtVpdauHBL7/8wvDhw9mxYwd169YlJSUFDw8PmjRpAsCgQYP4+OOPGT9+fJnyv/nmGxYvXoxer+fy5cv8/PPP953rbObMmezcuZPCwkI6dOhwTwsw/qqn3J8itE4om09t5kTmCRw1jnRv1B3PmnKoVZIkSXq4VWdAVzZB1h8xxh8XKcpwYDhAw4YNH3SbKsXIrxPJKdSXepgCPVzQeDKgU2c+9NWyNDqaet7eFJ8+jRoY+txzpYZLVSoVRqORjIwMJk2axOHDhwkJCUGr1eLl5YVWqzUNuY4YMQKDwcDAgQMpLCxk586dpr081ba22PfuDW++AYBBCN7PyODHvFzyjEZ2FRaQ69YQPeDo6Ejt2rVJSUkhLy+PV199lStXrmA0Gvnggw+YO3cuaWlppKSkEBQUhJOTEy+88AJ5eXkEBgaa2n7y5El69uxJYWEh8fHx1KpVi8GDB/+l3Qhu5ZqrKvaW9gzwGlCldUqSJEnS31WdiyIuALevDKgPlMmOKoRYLIQIFkIEOzs7V1nj/qrjV3K4lFVYKpjTXb+A7sZFCnQG1u46Suxrr1Hr2HGcY2I5e/UqxuJiojZsZNP69aZdE2rWrEliYiLjxo3D1dWVoKAg1q1bx5YtW8jJyTFtL5WZmYmLi4spuDMYDGW2l3Ic8jwoCoqFBevz8lAr4GRhwTBnZzYIwY2GDXF0dCQ+Pt4UmH3//fc4OjrStm1b0tPT2bp1Kzt37iQ6Oho7OztWr15tykvXuXNn7O3tMTc3Jycnh6VLl9K1a1dsbGywt7fn6tWrbNu2rUrevyRJkiQ9jqqzhy4eaKwoigdwEXgW6FeN7akU13KLMFMrcNs6BKOukMwfFmEsykOVf4MCMzWzXFywVBTeql2HoRfO0+/kSRqqFDJTjuAcFEhERATjxo3jzJkz1KpVki6je/fuKIrCunXryMnJ4ebNm1y9epWoqCgOHz7MxYsXURSlzPZSiqIghKCP0cDp69co1umoZWtLjrMzOfn5tG7ThjfffBO1Wk1mZiY2NjZotVoSExOxsbHhxIkTfPfdd7Rr147Lly9Tu3ZttFqtafP5ESNG4OTkxOeff06nTp04e/YsFy5c4MqVK3h7e+Pp6UmrVq2q+JuQJEmSpMdHtQV0Qgi9oihjgO2AGvhCCJF2l9seeo2cbSnWl56zZln7X9QeMI/gq7/wWsLXWOqKTOda2tigURQ2eXiQZTDwzMYNDG3aBDc3N5YuXYqTkxNnz54ttYcowPnz5+nTpw8eHh689NJLjBs3jrVr1zJhwoRy2+Xt7U1Kaiq9evVi+PDhREVFlTrv4eHBvHnzeOedd3jnnXfYsGEDV69eZe7cuUyZMsXUc+jr62tKY3K7Xr16MWvWLN577z1WrFiBo6OjKT2Ira0tubm59/0uJUmSJEm6N9Wah04I8Z0QookQopEQ4q3qbEtlqW2voXVjJyzUZacIdjyfWCqY+7OaajVRNWqwZPFi07HK3l4qKiqKTz/91LRTwokTJ0rtT3rLF198QXh4OPn5+bz00kukpqZiYWFBRkZGmbx0UJIQOCoqipEjR/L888/fsQ2SJEmSJFUuuZfrA7Cgjz9+DWpiZa7GwkyFtYUaSzMV3rblrza93ZA6dbl+44bpc3R0tGlvVS8vL9PWUlCyvdSt1aatW7fm4sWL5W4vpdfrTTnwhg4dipeXF4GBgfj4+PDf//63zM4Kubm57N+/n2vXrjFnzhzeeustxowZg0qlYu3atYwbNw4bGxtq1KhBp06dTImOo6KiuH79Oq+++io+Pj6meX23XLt2jZYtW7J161bS09Np3bo1gYGBBAYG3leyZEmSJEmSSlPEfWyvVN2Cg4NFQkJCdTfjnh29kE18+g1sLc14ysuVovfnkrn6Gyhna6pbFEtLGu3Yjrmr69+uX1EUJk6caNqMPTQ0lNzcXGbOnFn24vwbcOkwqC35Ou4UMXF7WbJkCeHh4Xz00Uc4ODjQtWtXUlNTyc/PR6VSodFoOHnyJH379iUhIYFu3brxww8/cOHCBdO8Pzs7O2xtbTl16hTdu3fnzTff5KmnnqqwDEmSJEn6p1AUJVEIEVwVdcm9XB8gbX17tPX/2NmgqF8/stauQ1QU0CkKVn6+lRLMQcn+pkuWLGH79u0sX76cXbt2lb1IXwzfvQRHVoHaEhCs/PIa48eOBeDZZ59l5cqVjB492nSLTqdjzJgxJCcnm/LW9ezZk59//hm9Xs+7775Lv3798Pf3N13fvn17Pv74YyIiIiosQ5IkSZKkv0YGdFXIslEj7J/uSfbGTYiCAoJOHCexyR/bH6msrak9ffpfLl8YjeQdOEBuTAyiWIeZovDypEnkFRYSEBBQKqDLyMhgxIgRnEuJg8IsFnawoGWDQtwX5vJbniB12vsob3/Jhas3cHV1pWnTppw+fZqAgACys7OJiooiJSWFjIwMateuTXp6Ok8++SRbt26ldu3aDBgwAAuLkq20dDoddnZ2bN++3RTQLViwAFdXV1JSUjAajWg0mr/83JIkSZL0uJNz6KpY7ddfx3H4cFS2tiiKUvJPjSUab2/c/vc/LBs3vuP9kZGRbN++vdSxhQsX4tGwIS83bcrFsS+S+fUKsr75BlFcTNS69Xz9xRdkZ2eXumfcuHEM6BmFm+VN1j2jYei3hagUhX85qGhRX83Z8bas7m1DZGQkBQUF1KhRAw8PD5KSkmjUqBE///wzKpWK/v37A5CUlESLFi24ePEiAwcO5IUXXiAkJITExESsrKzIyckhJSWFOXPmAJCdnU2dOnVQqVQsX7683P1VJUmSJEm6NzKgqwSKojBgwB+7C+j1epydnenatWu51zqPHEGT/T+iWFpS9913cV+/nk88PQju9TRarZbVq1cDMGrUKDZv3kxsbCy1a9dmyJAh9O3bl9mzZ/Paa68BJdt+TZs2Dd3Vq9jm5mHMzzfVJYTAoqCALkIwf9o0oGSV7JgxY9i5cycz33iLX28Y6b4yn5tFgpwiQWaBILe4ZF7lqvjf6NPtKWbOnEl0dDRnz55Fq9Vy6tQpDh8+TIsWLTh69KgppYpKpUKtVtO2bVvWrVuHpaUlfn5+FBYWcv78eV599VViYmL45JNPGDVqFF9++SUtWrTgxIkT2NjYPJgvR5IkSZIeB1W1aWxl/NzaNP5BunbtmvDz8xN+fn7C1dVV1K1b1/S5qKjIdB0gnnvuOSGEEDY2NsLPz084OTmJLl26iO+++064u7uLpk2blin/em6ROHDqmjidkStsbGyEEEKsXbtWtGvXTuj1enHlyhXRoEEDcenSJbFy5Urx0ksviZiYGGFvby/CwsLEtWvXhKWlpdi8ebMQQoikpCRRz8FBzKxXX9irVGKys7MI1FiJQbVqCRWIQbVqiW/c3ISFSiXq1q0rmjRpIszMzISjo6P4Ze0c4e1iJsSMGmLpvzWiZzMzEdVILcxViNEh5sK9pkpcO5Ui3NzcRHh4uNi0aZP497//LRo3biysra3FZ599Jvz8/MTp06dNz1erVi2RkZEhYmJiRKtWrUReXp4QQoiIiAgRExPzoL42SZIkSXroAAmiimIkOYfuTxwdHU253mbOnImtrS0vvfRSqWuMRUXYaDQkbdvGiYGDEDodjd3dycrKAmDlypWMGDHClLbj0KFDjBs3ntNXb3CzWEWDHhNR1apHfmEx3Xs+TWpKMpaWlgwePJjevXsTERFBfHw8q1ev5ueff8bb2xsrGyvyNfmMXzaeYl0xo8eO5p133kEIQUFODu9nZXHTaGR7Tg6niorIMOixAF5xcaVn+hnUQnD92jXUajVQkt/uyx/Pc2v73HPZRpKvGEj6ry0zYwv5/LCOkIbWOHpoAbh58yb16tXjiy++YNKkSfz6669ER0fTsmVLVqxYwWuvvca2bdvIzMwESoZUa9WqhbW1NceOHePgwYMP+quTJEmSpMeWDOhuU2wopkBfgJ2FHSrlj9HoxMREJk6cSG5uLg7W1swoKEQUF3NDr2fkhvUUFhezdfNmXJydMRqNxMbG8tNPP3Hu3DkaN25M48aNOfjTQSyd3dEX5XFqyQRUNrUQBh3fbtqEQ62aprxta9asQQjB9u3buXHjBmq1muEjh6Mr1KFqrWL7we0IleDCpQvk5ueSmZFJdycnfvw9kDpbXIwe+E2nQ1EUMvR6ThQVsaFJU/qeO2uaqxYdHc3gwYP5NRO8PsnD1Rrae5hhr1Ho72vBwp90hLfrBEpJguSXX36ZZ555Br1eT2FhIfn5+ajVaubPn8/8+fMJDCzZrqxhw4YAdOzYkUWLFuHr60vTpk3L7C8rSZIkSVLlkQEdcDr7NAsSFrDv0j4UFDRmGvo164fBaEAIwdixY9m0aRPWags+Cw3m/WsZCCFwUKs5VVSEBeCgVnM1IwO7kyfx9fVl3759ODs7c/ToUezs7EAIDPpiDHnZqO0csXLzI+f6BSxd3Bk9cRzzZ01h9+7dREREUKtWLTp37szSpUv5V/C/+DXtVzAHTRMNl+ddBgWEXpBTlAOAotHgZm7OdYOBCBsbThUXk67TMd7RiZSCAswUhUYWFuRmZjIvOppp06bh5OTERx99VJJb7r0uLPv8UxIuG8HCluBGFnRp3YSn+o0xvaNOnTrRoEEDXnvtNXbs2IG1tTWRkZFYWlqyY8cO03ULFiww/b5t27Yq+w4lSZIk6XH22Ad0JzJPMPC7geTr8xG/Dz/qinUsS1uG7pSOp5s9TWpqKj6hrTFmZVKz4CYu6pLeO2uVinyjwABE2tqxMTuLY6dO0WfQIM6fP092djYajQYLCwv0ej0aN3/yUndhyLxEbs41QFB07TxOjXywsbGhTZs2FBcXYzAY+O6777CxseHUsVMYCgwg4MzcM4jiPxJB63NK8tltu3LFlNvu25wcBCWrXS7pdbiam6MCOp87i11QENbW1mVfQqe5ZB6tybaPP4IBG6FuAOztUeYyOYwqSZIkSQ+nx36V66z9s8jT55mCuVuKDEVcK7jGiRsnsHR2o2b/BXze1I/N7u78X4OGpuuCra3QAVF2tlioVLhZWFDX2Rkzsz9iZTs7O1BUGAtuIvTFANQdthj7NoNQ1GZMf6EXGRkZqNVqGjVqRE5ODjqdDgcXB5xaOqGpr4Hfdw1T26vReGhQaVS3pr8RHBqKnYUFZsBwBwea/b7NVysbW/ysrbBTq3Fq2BCNRkNKSoopP9ztarnUoVO3ntAgBNTlx/kdO3ZEr9ejKArdu3c3DaPOmzev/N0n7iA2NrbUdl+DBw9m7dq1d73vypUrPPvsszRq1AgvLy86d+5cKUmJ09PT8fHxASAhIYEXX3zxb5cpSZIkSVXlsQ7oruRd4Xjm8QrP64w6kq4fJTvzOjfPpqExFKMTgpNFRaZr2tnaYg40srBEBdS3sEDo9RiNgpxCPe3nx5KjrgHCiCH7CggBihph1GNubYO1vSOWFua4urpib2+PhYUFBoOBnj17knElA6dWTtg0L0npIYwCW29bCs8UYiw0orIp+fqMRiNN/P1RqVTE5eXTzdEJgMU3bjD++nVy1WqO/PILx48fx2g0oigKPj4+dOvWjem/JzKOjIwkNjYWgLS0NH777TfGjx+Pr68vP/zwA05OTlhaWrJt2zYsLS3R6XSsXbuWyMjI+37ver2+TEB3L4QQ9OzZk8jISE6dOsXPP//M22+/zdWrV+/5fqPx7vvpBgcHEx0dfV9tkyRJkqTq9FgHdNcLrmOuMr/jNXm6PGo/PYXM2GUMPZbC0+lnSC4oMJ13NDMjpWmzP25QqTBYWHIuT8HYIIBTGXkUZmcAIHTFaOp7oTa35NpXE8nc+TkUZHHjxg1sbGy4evUqN27cwGg08vXXX6PX6UmblUb2wd+TAush+1C26Vsz5pcEJ0IIatSsiWJuzrHiIj7NvIGiUiEaeXLN1hYLS0sMBgOKomBhYYGbmxtjx45FrVYzYMAAOnfuTMFtz7Ro0SLGjRtHcnIyCQkJ1K9fv9Q7MTMzY/jw4aXmy91y9uxZ2rdvj6+vL+3bt+fcuXNASQ/cxIkTadu2LX369GHRokUsWLAAf39/02rguLg4wsPD8fT0LLe3LiYmBnNzc0aMGGE65u/vT+vWrcnNzaV9+/YEBgai1WrZtGkTUNLz1rx5c0aNGkVgYCDnz59n8uTJ+Pj4lMr5d7vY2FhTDsGZM2cyZMgQIiMj8fT0LBXo9ejRg6CgILy9vVm8eHGZciRJkiSpqjzWAZ2rjSvFhuKKz/d0xbtnKDZ1GlO7/1y8+r3Nmn815ZmaNUls0pQvG7rhoylJqlvLzIx9Xt58M306Fl7tce7zJvbtSwKPBmO+RjHX0KrXVF5zqskTlmpSmjch1dsbP0tLwpo3Jy0tDbVajcFgYOTIkej1euo0DaDZvOG4PF0XVKCyVKGpq6Hh2IZY1rFEbaWmgWcDzM3NSUpKokuXLgwbNoyGHh5Y29jQsUcPLl68iL+/P7a2trRq1YqioiK6dOlC7969SU5Opk+fPtja2pYKbFq2bMnbb7/N3LlzOXv2LJYaS3ad3cXz3z9Pp3WdKDIU4ftvX1asWFFmB4oxY8YwcOBAjhw5Qv/+/UsNXZ44cYKdO3eybt06RowYwYQJE0hOTqZ169YAXL58mX379rFlyxZeffXVMt9HamoqQUFB5X5XGo2GDRs2cPjwYWJiYpg0aRIlKYDg+PHjDBw4kKSkJBISEkhOTiYlJYWdO3cyefJkLl++fMc/J8eOHWP79u0cOnSIWbNmodPpAPjiiy9ITEwkISGB6Ohorl+/fsdyJEmSJOlBeawDOicrJwJdA0ulKLmdlZkVw/0GY/g9MDhRqyE7GoZQqC7bq6eYm2Netw6O//0vq+PPU6grPbSnEkbm7f2YutfPgdGIyMtFFBaSnp1N06tXKdi4kaFDh2I0GtmzZw81nVy5UaSQf7kTxiIXUzkuPVy4vPwyRVeK8Ar0wsHOgRs3btC8eXPMzMwwNzfn6aefRq/XY25ujoeHB9bW1uTl5XHp0iVsbW2BkuCodevWfPvtt+zZs4eTJ0+a6ujXrx+bN2/GysqKqKgoes7vyZR9U0i4msCF3AsYhZFZSbOo3aY2H3zwAVlZWaxatYrGjRvz3XffkZCQQHFxMUIIvv/+e1O5zzzzjCkP3ooVK0r1CkJJj5dKpcLLy+ueh1FvEUIwdepUfH19efLJJ7l48aKpDDc3N9N8v3379tG3b1/UajWurq6mnH930qVLFywtLXFycsLFxcVUbnR0NH5+frRo0YLz58+XeoeSJEmSVJUe64AOYGb4TGpY1MBMKb0QwEptxRP1nqB7k6eY1rk5VuZqFOBT3578n083bmhqYLCwRGVjg6LRYP90T9zXrEFta0uB/k/7kgrBLp9ArAzFtLC24dP6DQDIMhi4bjDwfWYmPgMHsmXzZmxsbIiOjkZxbIhTr9cBMyzrz0BRWyCECusmIdQN8sXe3p4je4+wcOFCACIiIujUqZOpSq1Wi6OjIxqNhm3btmFtbc3AgQPp2LEjKSkpDBo0iNmzZ2Nvb8/UqVMpum1e4OnTp/H09OTFF1+kcavGJCUnUaAvHXwV6AsoCi/iw88+ZOnSpTRt2pSTJ09Ss2ZNcnNzmfb7VmPK73nsgFLbe/Xv39+0Zdgtlr8v5ih5ZaUXqQB4e3uTmJhY7ve4YsUKMjIySExMJDk5GVdXVwoLC8vUW165d3N7u9RqtWkO4M6dOzlw4AApKSkEBASY6pMkSZKkqvbYB3T1bOuxvvt6+jTrg525HWaKGW413JgSNoV5EfNQKSoGhbuz/IVQnvJ2pZGLLbquPbFcv5UmmzfitvJ/NDmwnzqzZqG2swOgXVMXzNV/BDLaa6ewLc4vU/f2nJt0r2HPrkb/YldzL5Jem46Hhwf79u1Dp7898FAAFQgzrsd4k30sh3p165nOOjg4sHHjRoqKitDpdGzYsAFXV9dyn7dZs2b4+vpy4cIFRo0axdtvv82WLVtKXbN69Wp8fHzw9/cn4WgCNi3L32dVb6XH3N2c69evExAQAECrVq1o2bIlX3zxBXv27KFWrVp07NiR9evXs3z5ctO90dHRpp6u999/n02bNjFx4kRTgFqedu3aUVRUxOeff246Fh8fz549e8jOzsbFxQVzc3NiYmI4e/ZsuWW0adOG1atXYzAYyMjIIC4ujtDQ0ArrrIhM4SJJkiQ9TB77PHQAztbOvBr6Kq+Glp23dUuwuwPB7g5/OupU7rXD2niyJvECeoMeATTKvoSZMJS57rubNxnq6AiAKCoiPymJXr168emnn1LDyglFKVkUe0vDiWv5bdVUNMV5mJs74e/vT/fu3dm7dy/vv/8+H374IQBDhw5l/PjxpKen88knnwCQm5vLvHnzUBSF9957D09PT959910+//xztFotOTk5pKamAjBlyhSmTJmCwWjAf7n/Hd+dsY4R/e858KAkUBsyZAj5+fkcPHgQMzMzVq9ezZgxY/j+++85f/48DRo0wNramq1bt7Jp0yb0ej2dO3emY8eOzJkzh4iIiHLrUhSFDRs2MH78eObMmYNGo8Hd3Z2FCxfi7e1Nt27dCA4Oxt/fn2bNmpVbRs+ePTlw4AB+fn4oisK7775L7dq1SU9Pv+Nz/pncCUOSJEl6mCh/ZQiqugQHB4uEhITqbsY9+fW3HKasP0ry+Sy6nN7P4CObsTTo7niP7ZNP0uCjkqDs50s36fXpfgp0fwSCigI1NObsnhSBo61lRcVUGiEEwV8HU2yseOHIte+zaa5/kt1rvih13N/fnxdeeIEjR46YetQ6derEtGnTeOKJJ3B3dychIYEVK1Zw/fp1Zs+eDcD06dNxdnaWeeAkSZKkR56iKIlCiOCqqOuxH3J9UP7lYseaEeEkvPYUr0wfiMbszq9asbGhRlSU6bNX3Rp89UIoTV1tMVMpmKkUQtwd2DAqvEqCOSjpEevk0Qm1oi73vDCqUNfUcvCneHakXTEdv3nzJufPn0etVpc7/6xUGY/QXygkSZIk6WElA7oHzN7KnDpeTbAKCACzike4VRbm2EV1KHUsxN2B7RMiSJz+FCkzOvDNf1vi6Wz7oJtcymj/0diY26D60x8VYVQQRivMHPpj0BXy6tyPADAYDEyaNInBgweXv83Yn7Rp04aNGzeSn59PXl4eGzZsMKUxkSRJkiTp3siArorUW/A+5vXqoVhpSh1XLCxQ2drScMkSVOVsyQUlQaGNZfVMd6xjW4eVXVYSWicUhBnCYIkwmmHIb0z+mTFgsMe55zRO/bSTxo0b06RJEzQaDW+//fY9lR8YGMjgwYMJDQ0lLCyMoUOHmhZYSNKDMGHChFKLb6Kiohg6dKjp86RJk5g9ezZz5sypjuZx6dIlevfuXS11S5L06JJz6KqQsaCArI0byfzyK/QZGahsbLDv9TQO/fph5uxc3c27q96Lt3P44nmEvgbCUHrla1DDWqwbFV5NLZOke7dmzRrWrFnDN998g9FoJCQkBAsLCw4cOACUJNZeuHAhYWFh1dxSSZIedXIO3T+UysoKh759afT9NpomJtA4bg8u48Y9EsEcwPi2QVga65cJ5qzM1Yxp969qapUk3Z9WrVqZ9hFOS0vDx8cHOzs7MjMzKSoq4pf/b+/e43Os/weOv9472MZsDkNCNIVmR8xm5tRKSL6IkGKV5BuR0EFfJX07yS9SSVQm9kUHcioihKaMzBhyakjIabPZxg6f3x/37W5rG3PafS/v5+PRo/u+ruvzud73lW7v+3N9rvdn5062bt3KkCFDAEsC6O/vT1BQEK1btwYsUwtGjhxJQEAAgYGBtifMv//+e0JCQggICODRRx+11XesV68eL7/8sm1pul27dgHwww8/EBwcTHBwMCEhIaSlpZGcnIy/vz8AMTExdO/enQ4dOnD77bfz7LPPluq1UkqVHVq2RJVY5O0+PN+xEW98uxMXJ8tvgezcPEa0b0C7RtUv0VqpookIDz30kK1OYU5ODjVr1iQsLIwlS5awaNEiduzYUeRycCWWvB7WvAGHf+FmFzdcstM4uPMX4uLiadGiBYcPH2bDhg14e3sTGBhIuXzTH8aNG8fLL79MrVq18PPzA2DatGn89ttvbNmyBRcXF06dOkVWVhYPP/wwFSpUYM+ePfTr148PP/yQlJQUzpw5w759+1iyZAlff/01EyZM4OOPP2bChAl88MEHtGzZkvT0dNzd3endu3eBVVQSEhLYsmULbm5uNGzYkKeeeoo6depc+bVQSv0jaUKnLkv/iHrc37Q2cXtPYICI+lWp6F54KTSlSqpChQps376dzMxMPDw8WLFiBbVq/VU4u0uXLnTp0uXKT7B1HiweBhdWO8nOoGWNLOL+25E404ZnnnuRw4cPExcXh7e3NxERBacOtGzZkueff54mTZowdepUAFauXMmgQYNwsT7oVKVKFbZu3Urt2rXJyLAUEe/fvz8ffPABgYGBAOzbt48//viDpk2bMn/+fFvfzzzzDH379qV79+7Url27UPhRUVF4e3sD4Ofnx4EDBzShU0oVogmdumyebi60b3yTvcNQ/yAdO3Zk6dKl9OjRgzlz5tCnTx/WrVsHWG47btq0iffff5/o6Gi8vLzYtGkTR48eZfz48fTo0YM1a9YwduxYfHx82L59O02bNmX27NlIdiabPxrMM9+kkH7e4FNeiPmXBxG1nfhw/Sl+PjKfX7bt5LbbbuPMmTO4u7tz8uRJYmNjybQXJQIAACAASURBVM7OZuDAgTz//PN88cUXLFu2jJo1azJ//nz++OMPnnrqKTzc3fEG3q5/G0f+OMy5ffvIrVCBvCKWgUtMTKRv374YY7jpppsYN24cixcv5vTp08yePZvx48ezcuVKwFL6p3nz5hw8eLBAgllU6R+llAKdQ6eUspOc3DxSMyzFtnv37s3cuXPJysoiMTHxog8kHDlyhPXr17NkyZICt2G3bNnCpEmT2LFjB/v37+fHH38ke+cynlqaxpc9Pdg80JNHg8vx4qpztLzFmR8P5RBR24ltiYnMmDGDlJQU1qxZQ+vWrXn11VcJDw+nX79+5Obm8tRTT/Hyyy/TuHFjateuTc+ePfG77TbmVKlK1KnTvPP9Sm45eYojqalkHDvG3rvuJubDDwusehIcHExsbCz/+9//cHJyYsiQIcydO5e9e/fSsGFDateubZtbZ4xh48aN9OnTh/j4+Ov0X0Ap9U+iI3RKqVKVcT6HN77ZxZebfycnL4/M87msOubOb8nJzJkzh06dOl20fdeuXXFycsLPz8+2HjBA8+bNbbcsg4ODSU5OplK5Q2w/ls3dsyyjWrkGanoKAdUtv2WPnMlh9qzP6Nr9fgICAkhKSmLQoEGsXbuW2rVrs3nzZp5++mk2btyIiNCrVy+CgoLIy87m/0aPJuj8eYyBOq6uuDk5MbJ6dcYcPUrnTfEEeHszcNo03po8ucjPsXr1ap588klSU1PJzc3Fz8+Pjh078uabb+Ll5QVYHqY4c+bMVV9zpdQ/nyZ0SqlSk5dneHD6z+w8coZzOXkAGOCjtfvwvjWUkSNHsmbNGk6ePFlsH/lXH8lfdqmoVUlMrQY0ru7Chkc9CvVz7j8VWXvSh0VbEnj1tddJSkoiISEBgOjoaKKjo1m4cCGxsbG88847eHp6MnLkSACGDRjAf2rVoq1rOTZmnOWDEycAuNOzIv/nfJyF9W5FPDzIWrGCU6dOMXHiRGbMmAFAs2bNWLZsGXXr1mXTpk3UqVOHsWPH2j6Du7s7n3/+OQB9+/Zl4sSJtpiXLFlS4mutlLqx6C1XpVSpWbf3BLuPpdmSuQsys/P4s2YEg595joCAgGt2voYt7+N4lgsbDlveZ+cakv7MJc8YDmW40W7Aq4wfP56UlBTS09Np3bo1sbGxAKxZswYfHx+8vLyoWLEiaWlptn5P/f471XItn+Hr1L9G0Co4OVHN2YUNZ89iMjP5bUYMy5YtIzIyskAfWdY5dj4+PqSnp/Pll19es8+slLoxaUKnlCo1K3YcJeN8bpH7XL18qN/ugWt6vnLlyvHlwqU8twaCPsog+KMM4v5wItfJjYeWeRDQ701CQkIYPnw4lSpVYuzYsWzatInAwECef/55Zs6cCcB9993HggULCA4OZt26dQz19WX4H4d56OABKjsXXOv4jZo1+ejkSbol/0bf9et4+eWXqV+/PtHR0QwaNIjg4GDc3Nx4/PHHCQgIoGvXroSGhpbo8zg7OxMcHIy/vz89e/a0PVFrDzExMbZafdeKrpKh1JXTlSKUUqVm7KIkZm5IpqivHXdXJ/5zrx8Phde99ic2Bg5ugEM/g2sFuKMzeN18xd0deOQRMjb8dMnjyt1+G/UXL77i8/ydp6cn6enpgOV2bNOmTXnmmWeuWf+XI//Tx0qpoulKEUqpf6R7A2vi4epc5D5jIOqO61SgWgTqRkDkcAgbeFXJHEDlXr2RChUueox4eFC5z4NXdZ6LadWqFXv37uXs2bM8+uijhIaGEhISwsKFC4GLrzLh6enJiy++SFBQEOHh4baHS4paFaNVq1a2uYVgqZ2XmJhoe5+amkq9evXIy7Pcgs7IyKBOnTpkZ2czffp0QkNDCQoK4v7777eNKEZHRzN06FAiIiLw9fW13XLOv0pGcnIyrVq1okmTJjRp0sS2uodSqmia0CmlSk2zupWJqF8Vd9eCXz0ers70a1GPmt6FH15wRBWj7sSlkjc4FfMVKoKTuzveV1EQ2RjDt799S8/FPQn/Xzh3f3E3OXk5pJ1PIycnh2+//ZaAgABee+017rzzTuLj41m9ejWjRo3i7NmzgGWViXnz5rFt2zbmzZvHoUOHADh79izh4eFs3bqV1q1bM336dMCyKsby5cvZunUrixYtAmDAgAHExMQAsHv3bs6dO2crlgzg7e1NUFAQP/zwAwCLFy/mnnvuwdXVle7duxMfH8/WrVu54447+OSTT2ztiis/c0H16tVZsWIFv/zyC/PmzWPo0KFXfC2VuhFoQqeUKjUiwtSHmvLM3Q24ycsdV2ehXtXyvPqvxozu1Mje4ZWYuLpSd9YsXGrUQMqXL7jPwwPnSpWoO3sWzp4XH8UrjjGG0etH83Lcy+w6tYuz2Wc5mnGUc1nnqNWwFiFNQ7jlllt47LHH+O6773jzzTcJDg6mbdu2ZGVlcfDgQeCvVSbc3d1tq0yAZW5h586dAWjatCnJycmAZfQtOjqa6dOnk5trmevYs2dPlixZQnZ2Np9++inR0dGF4u3Vqxfz5s0DYO7cufTq1QuA7du306pVKwICAoiNjSUpKcnWprjyMxdkZ2fb5hn27NmTHTt2XNG1VOpGoWVLlFKlysXZiYGt6zOwdX17h3JVXG++mfrLviVt+XJOzY4l58QJnCtVonKvXnjf1xmnvyV6l+OH33/g+4Pfk5mTWWC7Uzkn6o+rT8d6HXm91euAJfn76quvaNiwYYFjf/755yJLuQC4uroiIoW2T506lZ9//pmlS5cSHBxMQkICVatW5e6772bhwoV8/vnnFDWPuUuXLrzwwgucOnWKzZs3c+eddwKWW6tff/01QUFBxMTEsGbNGlub4srPXDBx4kRq1KjB1q1bycvLw93dvcTXT6kbkY7QKaXUFXJyc8O7Sxdu/Xwet6/6Ht/5X1G51wNXlcwBzEyaWSiZuyAnL4fvDnxn23/PPffw3nvv2ZKiLVu2XPF59+3bR1hYGOPGjcPHx8d2i3bAgAEMHTqU0NBQqlSpUqidp6cnzZs3Z9iwYXTu3Bln65O/aWlp1KxZk+zsbFs5mJJKTU2lZs2aODk5MWvWLNuIoVKqaJrQKaWUg/k97feL7ncSJ05lnQJgzJgxZGdnExgYiL+/P2PGjLni844aNYqAgAD8/f1p3bo1QUFBgOW2rJeXF4888kixbXv16sXs2bNtt1sBXn31VcLCwrj77rtp1Ojybqk/+eSTzJw5k/DwcHbv3k2FSzyEotSNTsuWKKWuyu+//87gwYPZsWMHeXl5dO7cmbfffpty5crZO7Qyq8+SPmw/ub3Y/a5OrqzttRbPcp6lEs8ff/xB27Zt2bVrF07FPQiilCpEy5YopcoEYwzdu3ena9eu7Nmzh927d5Oens6LL75Y4LgLc7RUyTx4x4N4uBT9xK+TOBFxc0SpJXOfffYZYWFhvPbaa5rMKeXA9P9OpdQVW7VqFe7u7rZbcc7OzkycOJFPP/2UKVOm0LNnT+677z7at29fbL20jIwMHnjgAQIDA+nVqxdhYWG2ifdz5syx3QJ87rnnbOctro7aP0WHWzvgV9UPN2e3AtudcKKia0Web164zMf10q9fPw4dOkTPnj1L7ZxKqcunCZ1S6vKc2APr3oFVr5G0Zj5NmzQpsNvLy4tbbrmFnJwcNmzYwMyZM1m1alWx9dKmTJlC5cqVSUxMZMyYMWzevBmw3OZ77rnnWLVqFQkJCcTHx/P1118DxddR+6dwdXJl2t3TGBAwAG83b5zFGVcnVzre2pHP7/uc2hVr2ztEpezq6NGj9O7dm/r16+Pn50enTp3YvXt3kcfmL1h9rY0dO5YJEyZcl74vl5YtUUqVTF4ufP1v2LEQ8nIgLwezBSS9HKQ8A5VusR1qjEFEuPvuu21PRX733XcsWrTI9uV3oV7a+vXrGTZsGAD+/v62orXx8fG0bduWatWqAZalrtauXUvXrl0L1VFbsWJFqV2G0lLOuRyDggbxROATZOVmUc6pHM5ORa+yodSNxBhDt27d6N+/P3PnzgUsRbSPHTtGgwYNrrr/nJwcXFzKXnqkI3RKqZJZ9V/YuQhysiwJHdC4Sg6bfjsNMZ3BuvTTmTNnOHToEM7OzgWeTLxQLy0hIYGEhAQOHjzIHXfcUWQNsgvHF6e4Omr/RCKCh4uHJnPqhpZz4gQpX83n1KzZLH3nHVxdXBg0aJBtf3BwMJGRkYwaNQp/f38CAgJsxa7zy8rK4pFHHiEgIICQkBBWr14NWJbKyz9FJD09naioKJo0aUJAQIBtigjAa6+9RsOGDbnrrrv49ddfbdsTEhIIDw8nMDCQbt26cfr06et4RQrThE4pdWnZWbDxI8guWBst6lZnMrINn/14CPZ9T25uLiNGjCA6Opryf6vFVly9tMjISD7//HMAduzYwbZt2wAICwvjhx9+4MSJE+Tm5jJnzhzatGlzvT+pUsqB5GVmcnjECPbeGcXR//6XP99+mw2T3sV3zx5S5s8vcOz8+fNJSEhg69atrFy5klGjRnHkyJECx3zwwQcAbNu2jTlz5tC/f3+ysrIACkwRcXd3Z8GCBfzyyy+sXr2aESNGYIxh8+bNzJ07ly1btjB//nzi4+Ntfffr14+33nqLxMREAgICeOWVV67z1SlIEzql1KWd3ANS+OtCRFjQqzxfJKZze7veNGjQAHd3d15//fVCxxZXL+3JJ5/k+PHjBAYG8tZbbxEYGIi3tzc1a9bkjTfeoF27dgQFBdGkSRP+9a9/XfePqpRyDCY7mwPR0aSt/B5z/jwmM9Py7/PnMOfPc3Tcq5ye+9co3Pr16+nTpw/Ozs7UqFGDNm3aFEi4Lhzz8MMPA9CoUSPq1q1rm3uXf4qIMYbRo0cTGBjIXXfdxeHDhzl27Bjr1q2jW7dulC9fHi8vL7pY12tOTU0lJSXF9qOzf//+rF279rpfo/zK3k1ipVTpc/GwzKErQh1vJxb39YK2L0Drkbbt0dHRBdb99PDw4KOPPirU3t3dndmzZ+Pu7s6+ffuIioqibt26ADz44IM8+OCDhdqkp6fbXvfo0YMePXpc6SdTSjmoM8uWcW73Hsy5cwW231bOje/S0jBZWRx7803LUnsVKlx0msYFFzsm/xSR2NhYjh8/zubNm3F1daVevXq2kbwL0z0cjY7QKaUurWp9KO9T/H4nF7ijyxV1nZGRQWRkJEFBQXTr1o0PP/xQixIrpTj5yaeYzMJL4IWXL895Y/giJQVESF26lPj4eCpXrsy8efPIzc3l+PHjrF27lubNmxdo27p1a9sydLt37+bgwYOF1kEGy4hb9erVcXV1ZfXq1Rw4cMDWfsGCBWRmZpKWlsbixYsB8Pb2pnLlyqxbtw6AWbNmlfoUER2hU0pdmgh0ehu+iIa/rzHq6gENOkG1K3u6rGLFikUu+K6UurGdtyZRfycivFerFm/8+ScfJ23HY8gQbgsNZdKkSaSnpxMUFISIMH78eG666SaSk5NtbZ988kkGDRpEQEAALi4uxMTE4ObmVugcffv25b777qNZs2YEBwfblq5r0qQJvXr1Ijg4mLp169KqVStbm5kzZzJo0CAyMjLw9fVlxowZTJo06dpelIvQpb+UUiX36zL4ZiRknAQnZ8uTraEDIOolcNbfh0qpa+fX0ObkpaVd/CARqkRHU+O5Z0snqMtUmkt/6TewUqrkGnaABvfAyb2QnQE+DSwjdEopdY1VaBVJ2rLltpJIRREPDzzbti29oByYXebQiUhPEUkSkTwRKZXMVSl1jYiAz+1QM0iTOaXUdVP1sceQi82nFcGlalXKNw8tvaAcmL0eitgOdAdK95lepZRSSpUJHo0bU/2Z4Yi7e+GdLi44eXlR56OPHPap09Jml4TOGLPTGPPrpY9USiml1I2qSr9+1Jk6lfJhzcHZGVxdEQ8PKvfpg++iRbj53mrvEB2GzqFTSimllMOqEB5GhfAw8s6fx2Rl4eTpiThp1bW/u24JnYisBG4qYteLxpiFRWwvrp+BwECAW2655RJHK6WUUuqfyKlcOdAalcW6bgmdMeaua9TPNGAaWMqWXIs+lVJKKaX+SXTMUimllFKqjLNX2ZJuIvI70AJYKiLL7RGHUkopVRaJiG2ReYCcnByqVatG586dAVi0aBFvvvlmse2Tk5Px9/cvct9LL73EypUrr23A6rqzy0MRxpgFwAJ7nFsppZQq6ypUqMD27dvJzMzEw8ODFStWUKtWLdv+Ll260KXLla2vPG7cuGsVpipFestVKaWUKoM6duzI0qVLAZgzZw59+vSx7YuJiWHIkCEAHDt2jG7duhEUFERQUBBxcXEA5Obm8vjjj9O4cWPat29PZqZlnebo6Gi+/PJLAL755hsaNWpEZGQkQ4cOtY0Abty4kYiICEJCQoiIiODXX3+1nbd79+506NCB22+/nWefdcwluf6JNKFTSimlyoj0czmcPZcDQO/evZk7dy5ZWVkkJiYSFhZWZJuhQ4fSpk0btm7dyi+//ELjxo0B2LNnD4MHDyYpKYlKlSrx1VdfFWiXlZXFE088wbfffsv69es5fvy4bV+jRo1Yu3YtW7ZsYdy4cYwePdq2LyEhgXnz5rFt2zbmzZvHoUOHrvVlUEXQOnRKKaWUg/tp/0nGLd7B7mOWxeqzsvPIqlib5ORk5syZQ6dOnYptu2rVKj777DMAnJ2d8fb25vTp09x6660EBwcD0LRpU5KTkwu027VrF76+vtx6q6V4b58+fZg2bRoAqamp9O/fnz179iAiZGdn29pFRUXh7e0NgJ+fHwcOHKBOnTrX5kKoYukInVJKKeXA4vaeIHrGRnYcOUNOniEnz5BnDP0+/ZmQVncxcuTIArdbS8rNzc322tnZmZycnAL7jSm+UtiYMWNo164d27dvZ/HixWRlZZW4X3V9aEKnlFJKObCXFyWRlZ1XaHtWdh57vJvx0ksvERAQUGz7qKgoPvzwQ8Ayb+7MmTMlOm+jRo3Yv3+/beRu3rx5tn2pqam2hzBiYmJK+EnU9aS3XJVSSikHdSL9HAdOZhTeYQzHF77F4aN7OHpTJZYvX17sKN27775LrVq1+OSTT8jLy6N69erMmDEDsNxGTUpKol69ejRp0qRAOw8PD6ZMmUKHDh3w8fGhefPmtn3PPvss/fv355133uHOO+8EYNOmTcTGxtKwYcNr9OnV5ZCLDak6mmbNmplNmzbZOwyllFKqVPyZlkXkW6s5n/PXCJ0xhqOzR+LpH0WVZvfy0wtRHNq7k7S0NFq1alVkP56enqSnpxfYdvToUcLCwjhw4ECx509PT8fT0xNjDIMHD8bX15eRI0demw93AxCRzcaYZqVxLr3lqpRSSjmoap5u3OTlDsZw09mT1D1zBLN/E+LkQsWQTtSuXJ6qnm4EBwcTEhJCVFQUTZo0ISAggIULCy+bnr+gcPv27fnzzz8JDg5m3bp1JCQkEB4eTmBgIN26deP06dNMnz4dT09PqlWrxpdffkl2djZt27blueeeo3nz5jRo0IB169YBsGbNmkuWNVHXj95yVUoppRyUiPBGhUPkzJ2K17l0csWJz0/8SXw5L7Jy0nmpc6jtWHd3dxYsWICXlxcnTpwgPDycLl26ICJF9r1o0SI6d+5MQkICAIGBgbz33nu0adOGl156iVdeeYVJkyaxcOFC/Pz8mDJlCgDLly8nJyeHjRs38s033/DKK68UWlniQlkTFxcXVq5cyejRowuVRVHXliZ0SimllIP6c+Ikqn72GcZa9BfAxeRSO/04z61/l4aj2tm2G2MYPXo0a9euxcnJicOHD3Ps2DFuuummS54nNTWVlJQU2rRpA0D//v3p2bOnbX+vXr0KHN+9e3eg6HInF/orrqyJuj70lqtSSinlgM7t2cOpmTMLJHMAt5VzY2dWJs5pZzj23//atsfGxnL8+HE2b95MQkICNWrUKFBO5GpUqFChwPsLpUmKK0tysbIm6vrQhE4ppZRyQKdmfoYpYmQrvHx5zhvDFydPkv7DD+ScPk18fDwHDhygevXquLq6snr16os+7PB33t7eVK5c2TYfbtasWbbRuiuhZU1KnyZ0SimllAPK3LYNcnMLbRcR3qtVi7iMs7Tf/SuBzZoxduxYOnXqxKZNm2jWrBmxsbE0atToss43c+ZMRo0aRWBgIAkJCbz00ktXHPuzzz7LCy+8QMuWLckt4jM4ChFhxIgRtvcTJkxg7Nix16Rv66hkYxGxFQkUkWdFZGoJYxsrIiV+pFjLliillFIO6LcHepGVmHjRY5wqVOCWmTPx8G9cSlH9s7i7u1OzZk3i4+Px8fFhwoQJpKenX7OkTkT2AMeA1sDNwFqgmTHm9CXauQD/AdKNMRNKci4doVNKKaUckNe9nRAPj4sf5OKCeyMt5HulXFxcGDhwIBMnTiy07/jx49x///2EhoYSGhrKjz/+CEBAQAApKSkYY6hataptndyHH3640NO+wBngCNAPmAiMBbxE5HsRSbT++xYAEYkRkXdEZDXwVv5ORORxEflWRIr9A6EJnVKqTBo+fDiTJk2yvb/nnnsYMGCA7f2IESN45513Stzf2LFjmTCh6B/CERERVxznmjVriIuLu+L26sZVqVs3xNm52P3i4UHVxx5DXLRgxWXJzoKUg3AuDYDBgwcTGxtLampqgcOGDRvG8OHDiY+P56uvvrJ9v7Rs2ZIff/yRpKQkfH19bfMOf/rpJ8LDw4s649PAa0A1Y8ws4H3gM2NMIBALTM53bAPgLmOM7T6wiAwB7gO6GmMKPiGTj/4pUEqVSREREXzxxRc8/fTT5OXlceLEiQJrVMbFxRVI+K7G1SRka9aswdPT86qSQnVjcvby4pZPPubgYwMw2dmYc+csO0QQd3cq3nUXVQc8Zt8gy5JzafDdf2DrPBCBvFzIOYeXSaNfv35MnjwZj3wjoitXrmTHjh2292fOnLGtxrF27Vrq1q3Lv//9b6ZNm8bhw4epUqUKnp6ehU5rjPlDRFYBS6ybWgDdra9nAePzHf6FMSb/pMOHgd+xJHMXrf2iI3RKqTKpZcuWtkQrKSkJf39/KlasyOnTpzl37hw7d+5k+fLlhIaG4u/vz8CBA7kwZ3jy5Mn4+fkRGBhI7969bX3u2LGDtm3b4uvry+TJf/1ovvAlvWbNGtq2bUuPHj1o1KgRffv2tfX5zTff0KhRIyIjIxk6dCidO3cmOTmZqVOnMnHiRFs1/gMHDhAVFUVgYCBRUVEcPHgQgOjoaIYOHUpERAS+vr58+eWXpXIdlWPzCAqi/orv8Hny35SrXx/XWrXwbNuWOlOncvP4txAn/Wu8RHLOw4yOkDAHcjIhOwNyz0FeDkxrw9MDHuKTTz7h7NmztiZ5eXls2LCBhIQEEhISOHz4MBUrVqR169asW7eOdevW0bZtW9sqGsUtu3ahO+s/Rcn/MMPZv+3bDtQDal/qI+qfBKVUmXEk/QiTf5nM0FVD+fjAxxgnw4EDB4iLi6NFixaEhYWxYcMGNm3aRGBgIEOGDCE+Pp7t27eTmZnJkiWWH8hvvvkmW7ZsITExkalT/3rgbNeuXSxfvpyNGzfyyiuvFFkMdcuWLUyaNIkdO3awf/9+fvzxR7KysnjiiSf49ttvWb9+PcePHwegXr16DBo0iOHDh5OQkECrVq0YMmQI/fr1IzExkb59+zJ06NC/Pt+RI6xfv54lS5bw/PPPX+erqcoKl8qV8XniCeovXcJt36+kzodTqBDWvNgVIFQRdiyEk/stSdzfZaZSZdcsHnjgAT755BPb5vbt2/P+++/b3l9YUaNOnTqcOHGCPXv24OvrS2RkJBMmTLhUQpdfHHDhl2RfYP1Fjt0CPAEsEpGbL9apJnRKqTIhZnsMnb/uTExSDKsPrear3V+RVSeLgdMHsv7H9bRo0YIWLVoQFxdHXFwcERERrF69mrCwMAICAli1ahVJSUmAZYmjvn37Mnv2bFzyzT+69957cXNzw8fHh+rVq3Ps2LFCcTRv3pzatWvj5OREcHAwycnJ7Nq1C19fX2699VYA+vTpU+zn2LBhAw8++CBgmUS9fv1f3+Vdu3bFyckJPz+/Is+tlLpCv3wG2X8f/LLKOw9b5zJixAhOnDhh2zx58mTbj0M/P78CP/7CwsJo0KABAK1ateLw4cNERkaWNJqhwCMikojlluqwix1sjFkPjASWiohPccfpHDqllMP74dAPfJDwAedzz9u25ZGHm68bCRsTcD7gTIx/DHXq1OH//u//8PLy4tFHH2XAgAFs2rSJOnXqMHbsWFu1+qVLl7J27VoWLVrEq6++akv0LlS/h+Ir4Bd1zNWUf8o/ypK/77JUUkoph3c+rcjN6aO9LC9yMqlRowYZGRm2fT4+PsybN6/IdrNmzbK9joiIIC+vuLupFsaY6Hyvk4E7L3aM9f3YfK+XA8svdg4doVNKObz3E94nK7fw0kHlby/P6YTTpLumk5GbQZUqVUhJSWHDhg20aNECsHwpp6en2+ak5eXlcejQIdq1a8f48eNJSUkhPT39quJr1KgR+/fvt61pmf8vgYoVK5KW9tdfJhEREcydOxewLNV0Gb/qlVJXql4kOJcrfv/NIaUXy3WiCZ1SyqFl52az+/TuIve513EnNy0Xr9u82Hp8K2CpEeXt7Y2Pjw+PP/44AQEBdO3aldDQUAByc3N56KGHCAgIICQkhOHDh1OpUqWritHDw4MpU6bQoUMHIiMjqVGjBt7e3gDcd999LFiwwPZQxOTJk5kxYwaBgYHMmjWLd99996rOrZQqgeZPgFMxNyVdPaD1s6Ubz3WgK0UopRza+dzzhMaGkmeKv6Xh6erJW63fonXt1qUYWUHp6el4enpijGHw4MHcfvvtDB8+3G7xKKX+Zt8qmPcQGGN5ytXF3bK9/WvQfMDF214hEdlsjGl2XTr/G51Dp5RyaOWcy1HPqx77CBkfAwAACHJJREFUU/cXe8z53PME+gSWYlSFTZ8+nZkzZ3L+/HlCQkJ44okn7BqPUupv6t8JI3ZD0nw4sQe8bgb/HuBZzd6RXRM6QqeUcnjLk5czZv0YMnMLF0l3c3ajfd32vN7qdTtEppRSxSvNETqdQ6eUcnj31LuHvnf0xc3ZDWf5aymk8i7l8avqx5gWY+wYnVJK2Z/eclVKlQnDmg7jXt97+d+u/7E3ZS9V3avSs0FPwm8Ox0n0t6lS6samCZ1Sqsy4rfJtvNTiJXuHoZRSDkd/1iqllFJKlXGa0CmllFJKlXGa0CmllFJKlXGa0CmllFJKlXGa0CmllFJKlXGa0CmllFJKlXGa0CmllFJKlXGa0CmllFJKlXGa0CmllFJKlXGa0CmllFJKlXGa0CmllFJKlXGa0CmllFJKlXGa0CmllFJKlXGa0CmllFJKlXFijLF3DCUmIseBA/aO4yJ8gBP2DqIM0OtUMnqdSkavU8nodSoZvU4lo9epZOoaY6qVxonKVELn6ERkkzGmmb3jcHR6nUpGr1PJ6HUqGb1OJaPXqWT0OjkeveWqlFJKKVXGaUKnlFJKKVXGaUJ3bU2zdwBlhF6nktHrVDJ6nUpGr1PJ6HUqGb1ODkbn0CmllFJKlXE6QqeUUkopVcZpQncNicjbIrJLRBJFZIGIVLJ3TI5KRHqKSJKI5ImIPimVj4h0EJFfRWSviDxv73gclYh8KiJ/ish2e8fiyESkjoisFpGd1v/nhtk7JkckIu4islFEtlqv0yv2jsmRiYiziGwRkSX2jkVZaEJ3ba0A/I0xgcBu4AU7x+PItgPdgbX2DsSRiIgz8AHQEfAD+oiIn32jclgxQAd7B1EG5AAjjDF3AOHAYP0zVaRzwJ3GmCAgGOggIuF2jsmRDQN22jsI9RdN6K4hY8x3xpgc69ufgNr2jMeRGWN2GmN+tXccDqg5sNcYs98Ycx6YC/zLzjE5JGPMWuCUveNwdMaYI8aYX6yv07D8JVzLvlE5HmORbn3rav1HJ5kXQURqA/cCH9s7FvUXTeiun0eBb+0dhCpzagGH8r3/Hf3LV10jIlIPCAF+tm8kjsl6GzEB+BNYYYzR61S0ScCzQJ69A1F/cbF3AGWNiKwEbipi14vGmIXWY17EcpsjtjRjczQluVaqEClim44SqKsmIp7AV8DTxpgz9o7HERljcoFg6/znBSLib4zROZr5iEhn4E9jzGYRaWvveNRfNKG7TMaYuy62X0T6A52BKHOD14S51LVSRfodqJPvfW3gDzvFov4hRMQVSzIXa4yZb+94HJ0xJkVE1mCZo6kJXUEtgS4i0glwB7xEZLYx5iE7x3XD01uu15CIdACeA7oYYzLsHY8qk+KB20XkVhEpB/QGFtk5JlWGiYgAnwA7jTHv2DseRyUi1S5UJhARD+AuYJd9o3I8xpgXjDG1jTH1sHw/rdJkzjFoQndtvQ9UBFaISIKITLV3QI5KRLqJyO9AC2CpiCy3d0yOwPpQzRBgOZbJ658bY5LsG5VjEpE5wAagoYj8LiKP2TsmB9USeBi40/q9lGAdXVEF1QRWi0gilh9WK4wxWpJDlRm6UoRSSimlVBmnI3RKKaWUUmWcJnRKKaWUUmWcJnRKKaWUUmWcJnRKKaWUUmWcJnRKKaWUUmWcJnRKqVIhIrn5ymYkiEg9EYm7zD6eFpHy1ytGRyIiXUXEz95xKKXKBi1bopQqFSKSbozxLMFxztYlmIralww0M8acuNbxORoRiQGWGGO+tHcsSinHpyN0Sim7EZF067/bishqEfkfsE1EKojIUhHZKiLbRaSXiAwFbsZS/HV1EX2Fikictc1GEakoIu4iMkNEtonIFhFpZz02WkS+FpHFIvKbiAwRkWesx/wkIlWsx60RkUnWfreLSHPr9irW9onW4wOt28eKyKfWdvutMV+I7yFrXAki8pGIOF+4BiLymjXun0SkhohEAF2At63H17+u/yGUUmWeJnRKqdLike9264Ii9jcHXjTG+GFZQ/MPY0yQMcYfWGaMmYxlXdt2xph2+Rtal0mbBwwzxgRhWbYpExgMYIwJAPoAM0XE3drMH3jQet7XgAxjTAiW1Sf65eu+gjEmAngS+NS67RVgizEmEBgNfJbv+EbAPdZ+XxYRVxG5A+gFtDTGBAO5QN8L/QM/WeNeCzxujInDsuTbKGNMsDFm36UurlLqxuZi7wCUUjeMTGsyU5yNxpjfrK+3ARNE5C0stx3XXaLvhsARY0w8gDHmDICIRALvWbftEpEDQANrm9XGmDQgTURSgcX5zh2Yr+851vZrRcTLut5nJHC/dfsqEakqIt7W45caY84B50TkT6AGEAU0BeItS6viAfxpPf48cGGJqc3A3Zf4rEopVYgmdEopR3H2wgtjzG4RaQp0At4Qke+MMeMu0laAoiYEy0XanMv3Oi/f+zwKfjf+vV9TTL8Xjsvfb661LwFmGmNeKKJdtvlrMvOF45VS6rLoLVellMMRkZux3AKdDUwAmlh3pQEVi2iyC7hZREKt7SuKiAuWW5h9rdsaALcAv15mOL2s7SOBVGNM6t/6bQucuDAqWIzvgR4iUt3apoqI1L3EeYv7rEopVYj+ElRKOaIALA8E5AHZwL+t26cB34rIkfzz6Iwx50WkF/CeiHhgmT93FzAFmCoi24AcINoYc85627OkTlvLq3gBj1q3jQVmiEgikAH0v1gHxpgdIvIf4DsRcbJ+psHAgYs0mwtMtz5Y0UPn0SmlLkbLliilVDFEZA0w0hizyd6xKKXUxegtV6WUUkqpMk5H6JRSSimlyjgdoVNKKaWUKuM0oVNKKaWUKuM0oVNKKaWUKuM0oVNKKaWUKuM0oVNKKaWUKuM0oVNKKaWUKuP+H1M387PdOxvpAAAAAElFTkSuQmCC\n", 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", 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" ] }, - "metadata": { - "needs_background": "light" - }, + "metadata": {}, "output_type": "display_data" } ], @@ -1949,9 +2532,22 @@ }, { "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], + "execution_count": 254, + "metadata": { + "scrolled": true + }, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ "#Code task 11#\n", "#Create a seaborn scatterplot by calling `sns.scatterplot`\n", @@ -1966,8 +2562,8 @@ "plt.subplots(figsize=(12, 10))\n", "# Note the argument below to make sure we get the colours in the ascending\n", "# order we intuitively expect!\n", - "sns.___(x=___, y=___, size=___, hue=___, \n", - " hue_order=___, data=pca_df)\n", + "sns.scatterplot(x=x, y=y, size=pca_df.AdultWeekend, hue=pca_df.Quartile, \n", + " hue_order=pca_df.Quartile.cat.categories, data=pca_df)\n", "#and we can still annotate with the state labels\n", "for s, x, y in zip(state, x, y):\n", " plt.annotate(s, (x, y)) \n", @@ -2005,7 +2601,7 @@ }, { "cell_type": "code", - "execution_count": 43, + "execution_count": 112, "metadata": {}, "outputs": [ { @@ -2091,13 +2687,13 @@ " \n", " \n", " 5\n", - " -0.818390\n", - " -0.092319\n", - " 0.238198\n", - " 0.448118\n", - " 0.246196\n", - " 0.058911\n", - " -0.009146\n", + " 0.818390\n", + " 0.092319\n", + " -0.238198\n", + " -0.448118\n", + " -0.246196\n", + " -0.058911\n", + " 0.009146\n", " \n", " \n", " 6\n", @@ -2120,7 +2716,7 @@ "2 -0.177937 0.714835 0.115200 \n", "3 0.056163 -0.118347 -0.162625 \n", "4 -0.209186 0.573462 -0.250521 \n", - "5 -0.818390 -0.092319 0.238198 \n", + "5 0.818390 0.092319 -0.238198 \n", "6 -0.090273 -0.127021 0.773728 \n", "\n", " state_total_terrain_parks state_total_nightskiing_ac \\\n", @@ -2129,7 +2725,7 @@ "2 0.005509 -0.511255 \n", "3 -0.177072 0.438912 \n", "4 -0.388608 0.499801 \n", - "5 0.448118 0.246196 \n", + "5 -0.448118 -0.246196 \n", "6 -0.613576 0.022185 \n", "\n", " resorts_per_100kcapita resorts_per_100ksq_mile \n", @@ -2138,11 +2734,11 @@ "2 0.220359 -0.366207 \n", "3 0.685417 -0.512443 \n", "4 -0.065077 0.399461 \n", - "5 0.058911 -0.009146 \n", + "5 -0.058911 0.009146 \n", "6 -0.007887 -0.005631 " ] }, - "execution_count": 43, + "execution_count": 112, "metadata": {}, "output_type": "execute_result" } @@ -2167,7 +2763,7 @@ }, { "cell_type": "code", - "execution_count": 44, + "execution_count": 115, "metadata": {}, "outputs": [ { @@ -2208,51 +2804,51 @@ " \n", " \n", " state_total_skiable_area_ac\n", - " 3427\n", - " 7239\n", + " 3427.0\n", + " 7239.0\n", " \n", " \n", " state_total_days_open\n", - " 1847\n", - " 1777\n", + " 1847.0\n", + " 1777.0\n", " \n", " \n", " state_total_terrain_parks\n", - " 43\n", - " 50\n", + " 43.0\n", + " 50.0\n", " \n", " \n", " state_total_nightskiing_ac\n", - " 376\n", - " 50\n", + " 376.0\n", + " 50.0\n", " \n", " \n", " resorts_per_100kcapita\n", - " 1.17672\n", - " 2.40389\n", + " 1.176721\n", + " 2.403889\n", " \n", " \n", " resorts_per_100ksq_mile\n", - " 171.141\n", - " 155.99\n", + " 171.141299\n", + " 155.990017\n", " \n", " \n", "\n", "" ], "text/plain": [ - " 17 29\n", - "state New Hampshire Vermont\n", - "resorts_per_state 16 15\n", - "state_total_skiable_area_ac 3427 7239\n", - "state_total_days_open 1847 1777\n", - "state_total_terrain_parks 43 50\n", - "state_total_nightskiing_ac 376 50\n", - "resorts_per_100kcapita 1.17672 2.40389\n", - "resorts_per_100ksq_mile 171.141 155.99" + " 17 29\n", + "state New Hampshire Vermont\n", + "resorts_per_state 16 15\n", + "state_total_skiable_area_ac 3427.0 7239.0\n", + "state_total_days_open 1847.0 1777.0\n", + "state_total_terrain_parks 43.0 50.0\n", + "state_total_nightskiing_ac 376.0 50.0\n", + "resorts_per_100kcapita 1.176721 2.403889\n", + "resorts_per_100ksq_mile 171.141299 155.990017" ] }, - "execution_count": 44, + "execution_count": 115, "metadata": {}, "output_type": "execute_result" } @@ -2263,7 +2859,7 @@ }, { "cell_type": "code", - "execution_count": 45, + "execution_count": 116, "metadata": {}, "outputs": [ { @@ -2342,7 +2938,7 @@ "resorts_per_100ksq_mile 3.483281 3.112841" ] }, - "execution_count": 45, + "execution_count": 116, "metadata": {}, "output_type": "execute_result" } @@ -2395,7 +2991,7 @@ }, { "cell_type": "code", - "execution_count": 46, + "execution_count": 122, "metadata": {}, "outputs": [ { @@ -2541,91 +3137,91 @@ " \n", " \n", " Runs\n", - " 76\n", - " 36\n", - " 13\n", - " 55\n", - " 65\n", + " 76.0\n", + " 36.0\n", + " 13.0\n", + " 55.0\n", + " 65.0\n", " \n", " \n", " TerrainParks\n", - " 2\n", - " 1\n", - " 1\n", - " 4\n", - " 2\n", + " 2.0\n", + " 1.0\n", + " 1.0\n", + " 4.0\n", + " 2.0\n", " \n", " \n", " LongestRun_mi\n", - " 1\n", - " 2\n", - " 1\n", - " 2\n", + " 1.0\n", + " 2.0\n", + " 1.0\n", + " 2.0\n", " 1.2\n", " \n", " \n", " SkiableTerrain_ac\n", - " 1610\n", - " 640\n", - " 30\n", - " 777\n", - " 800\n", + " 1610.0\n", + " 640.0\n", + " 30.0\n", + " 777.0\n", + " 800.0\n", " \n", " \n", " Snow Making_ac\n", - " 113\n", - " 60\n", - " 30\n", - " 104\n", - " 80\n", + " 113.0\n", + " 60.0\n", + " 30.0\n", + " 104.0\n", + " 80.0\n", " \n", " \n", " daysOpenLastYear\n", - " 150\n", - " 45\n", - " 150\n", - " 122\n", - " 115\n", + " 150.0\n", + " 45.0\n", + " 150.0\n", + " 122.0\n", + " 115.0\n", " \n", " \n", " yearsOpen\n", - " 60\n", - " 44\n", - " 36\n", - " 81\n", - " 49\n", + " 60.0\n", + " 44.0\n", + " 36.0\n", + " 81.0\n", + " 49.0\n", " \n", " \n", " averageSnowfall\n", - " 669\n", - " 350\n", - " 69\n", - " 260\n", - " 250\n", + " 669.0\n", + " 350.0\n", + " 69.0\n", + " 260.0\n", + " 250.0\n", " \n", " \n", " AdultWeekend\n", - " 85\n", - " 53\n", - " 34\n", - " 89\n", - " 78\n", + " 85.0\n", + " 53.0\n", + " 34.0\n", + " 89.0\n", + " 78.0\n", " \n", " \n", " projectedDaysOpen\n", - " 150\n", - " 90\n", - " 152\n", - " 122\n", - " 104\n", + " 150.0\n", + " 90.0\n", + " 152.0\n", + " 122.0\n", + " 104.0\n", " \n", " \n", " NightSkiing_ac\n", - " 550\n", + " 550.0\n", " NaN\n", - " 30\n", + " 30.0\n", " NaN\n", - " 80\n", + " 80.0\n", " \n", " \n", "\n", @@ -2647,17 +3243,17 @@ "double 0 4 0 \n", "surface 2 0 2 \n", "total_chairs 7 4 3 \n", - "Runs 76 36 13 \n", - "TerrainParks 2 1 1 \n", - "LongestRun_mi 1 2 1 \n", - "SkiableTerrain_ac 1610 640 30 \n", - "Snow Making_ac 113 60 30 \n", - "daysOpenLastYear 150 45 150 \n", - "yearsOpen 60 44 36 \n", - "averageSnowfall 669 350 69 \n", - "AdultWeekend 85 53 34 \n", - "projectedDaysOpen 150 90 152 \n", - "NightSkiing_ac 550 NaN 30 \n", + "Runs 76.0 36.0 13.0 \n", + "TerrainParks 2.0 1.0 1.0 \n", + "LongestRun_mi 1.0 2.0 1.0 \n", + "SkiableTerrain_ac 1610.0 640.0 30.0 \n", + "Snow Making_ac 113.0 60.0 30.0 \n", + "daysOpenLastYear 150.0 45.0 150.0 \n", + "yearsOpen 60.0 44.0 36.0 \n", + "averageSnowfall 669.0 350.0 69.0 \n", + "AdultWeekend 85.0 53.0 34.0 \n", + "projectedDaysOpen 150.0 90.0 152.0 \n", + "NightSkiing_ac 550.0 NaN 30.0 \n", "\n", " 3 4 \n", "Name Arizona Snowbowl Sunrise Park Resort \n", @@ -2674,20 +3270,20 @@ "double 1 1 \n", "surface 2 0 \n", "total_chairs 8 7 \n", - "Runs 55 65 \n", - "TerrainParks 4 2 \n", - "LongestRun_mi 2 1.2 \n", - "SkiableTerrain_ac 777 800 \n", - "Snow Making_ac 104 80 \n", - "daysOpenLastYear 122 115 \n", - "yearsOpen 81 49 \n", - "averageSnowfall 260 250 \n", - "AdultWeekend 89 78 \n", - "projectedDaysOpen 122 104 \n", - "NightSkiing_ac NaN 80 " + "Runs 55.0 65.0 \n", + "TerrainParks 4.0 2.0 \n", + "LongestRun_mi 2.0 1.2 \n", + "SkiableTerrain_ac 777.0 800.0 \n", + "Snow Making_ac 104.0 80.0 \n", + "daysOpenLastYear 122.0 115.0 \n", + "yearsOpen 81.0 49.0 \n", + "averageSnowfall 260.0 250.0 \n", + "AdultWeekend 89.0 78.0 \n", + "projectedDaysOpen 122.0 104.0 \n", + "NightSkiing_ac NaN 80.0 " ] }, - "execution_count": 46, + "execution_count": 122, "metadata": {}, "output_type": "execute_result" } @@ -2712,7 +3308,7 @@ }, { "cell_type": "code", - "execution_count": 47, + "execution_count": 125, "metadata": {}, "outputs": [ { @@ -2829,7 +3425,7 @@ "4 256.0 0.140242 90.203861 " ] }, - "execution_count": 47, + "execution_count": 125, "metadata": {}, "output_type": "execute_result" } @@ -2840,7 +3436,7 @@ }, { "cell_type": "code", - "execution_count": 48, + "execution_count": 126, "metadata": {}, "outputs": [ { @@ -2986,91 +3582,91 @@ " \n", " \n", " Runs\n", - " 76\n", - " 36\n", - " 13\n", - " 55\n", - " 65\n", + " 76.0\n", + " 36.0\n", + " 13.0\n", + " 55.0\n", + " 65.0\n", " \n", " \n", " TerrainParks\n", - " 2\n", - " 1\n", - " 1\n", - " 4\n", - " 2\n", + " 2.0\n", + " 1.0\n", + " 1.0\n", + " 4.0\n", + " 2.0\n", " \n", " \n", " LongestRun_mi\n", - " 1\n", - " 2\n", - " 1\n", - " 2\n", + " 1.0\n", + " 2.0\n", + " 1.0\n", + " 2.0\n", " 1.2\n", " \n", " \n", " SkiableTerrain_ac\n", - " 1610\n", - " 640\n", - " 30\n", - " 777\n", - " 800\n", + " 1610.0\n", + " 640.0\n", + " 30.0\n", + " 777.0\n", + " 800.0\n", " \n", " \n", " Snow Making_ac\n", - " 113\n", - " 60\n", - " 30\n", - " 104\n", - " 80\n", + " 113.0\n", + " 60.0\n", + " 30.0\n", + " 104.0\n", + " 80.0\n", " \n", " \n", " daysOpenLastYear\n", - " 150\n", - " 45\n", - " 150\n", - " 122\n", - " 115\n", + " 150.0\n", + " 45.0\n", + " 150.0\n", + " 122.0\n", + " 115.0\n", " \n", " \n", " yearsOpen\n", - " 60\n", - " 44\n", - " 36\n", - " 81\n", - " 49\n", + " 60.0\n", + " 44.0\n", + " 36.0\n", + " 81.0\n", + " 49.0\n", " \n", " \n", " averageSnowfall\n", - " 669\n", - " 350\n", - " 69\n", - " 260\n", - " 250\n", + " 669.0\n", + " 350.0\n", + " 69.0\n", + " 260.0\n", + " 250.0\n", " \n", " \n", " AdultWeekend\n", - " 85\n", - " 53\n", - " 34\n", - " 89\n", - " 78\n", + " 85.0\n", + " 53.0\n", + " 34.0\n", + " 89.0\n", + " 78.0\n", " \n", " \n", " projectedDaysOpen\n", - " 150\n", - " 90\n", - " 152\n", - " 122\n", - " 104\n", + " 150.0\n", + " 90.0\n", + " 152.0\n", + " 122.0\n", + " 104.0\n", " \n", " \n", " NightSkiing_ac\n", - " 550\n", + " 550.0\n", " NaN\n", - " 30\n", + " 30.0\n", " NaN\n", - " 80\n", + " 80.0\n", " \n", " \n", " resorts_per_state\n", @@ -3082,43 +3678,43 @@ " \n", " \n", " state_total_skiable_area_ac\n", - " 2280\n", - " 2280\n", - " 2280\n", - " 1577\n", - " 1577\n", + " 2280.0\n", + " 2280.0\n", + " 2280.0\n", + " 1577.0\n", + " 1577.0\n", " \n", " \n", " state_total_days_open\n", - " 345\n", - " 345\n", - " 345\n", - " 237\n", - " 237\n", + " 345.0\n", + " 345.0\n", + " 345.0\n", + " 237.0\n", + " 237.0\n", " \n", " \n", " state_total_terrain_parks\n", - " 4\n", - " 4\n", - " 4\n", - " 6\n", - " 6\n", + " 4.0\n", + " 4.0\n", + " 4.0\n", + " 6.0\n", + " 6.0\n", " \n", " \n", " state_total_nightskiing_ac\n", - " 580\n", - " 580\n", - " 580\n", - " 80\n", - " 80\n", + " 580.0\n", + " 580.0\n", + " 580.0\n", + " 80.0\n", + " 80.0\n", " \n", " \n", " resorts_per_100kcapita\n", " 0.410091\n", " 0.410091\n", " 0.410091\n", - " 0.0274774\n", - " 0.0274774\n", + " 0.027477\n", + " 0.027477\n", " \n", " \n", " resorts_per_100ksq_mile\n", @@ -3148,22 +3744,22 @@ "double 0 4 \n", "surface 2 0 \n", "total_chairs 7 4 \n", - "Runs 76 36 \n", - "TerrainParks 2 1 \n", - "LongestRun_mi 1 2 \n", - "SkiableTerrain_ac 1610 640 \n", - "Snow Making_ac 113 60 \n", - "daysOpenLastYear 150 45 \n", - "yearsOpen 60 44 \n", - "averageSnowfall 669 350 \n", - "AdultWeekend 85 53 \n", - "projectedDaysOpen 150 90 \n", - "NightSkiing_ac 550 NaN \n", + "Runs 76.0 36.0 \n", + "TerrainParks 2.0 1.0 \n", + "LongestRun_mi 1.0 2.0 \n", + "SkiableTerrain_ac 1610.0 640.0 \n", + "Snow Making_ac 113.0 60.0 \n", + "daysOpenLastYear 150.0 45.0 \n", + "yearsOpen 60.0 44.0 \n", + "averageSnowfall 669.0 350.0 \n", + "AdultWeekend 85.0 53.0 \n", + "projectedDaysOpen 150.0 90.0 \n", + "NightSkiing_ac 550.0 NaN \n", "resorts_per_state 3 3 \n", - "state_total_skiable_area_ac 2280 2280 \n", - "state_total_days_open 345 345 \n", - "state_total_terrain_parks 4 4 \n", - "state_total_nightskiing_ac 580 580 \n", + "state_total_skiable_area_ac 2280.0 2280.0 \n", + "state_total_days_open 345.0 345.0 \n", + "state_total_terrain_parks 4.0 4.0 \n", + "state_total_nightskiing_ac 580.0 580.0 \n", "resorts_per_100kcapita 0.410091 0.410091 \n", "resorts_per_100ksq_mile 0.450867 0.450867 \n", "\n", @@ -3182,23 +3778,23 @@ "double 0 1 \n", "surface 2 2 \n", "total_chairs 3 8 \n", - "Runs 13 55 \n", - "TerrainParks 1 4 \n", - "LongestRun_mi 1 2 \n", - "SkiableTerrain_ac 30 777 \n", - "Snow Making_ac 30 104 \n", - "daysOpenLastYear 150 122 \n", - "yearsOpen 36 81 \n", - "averageSnowfall 69 260 \n", - "AdultWeekend 34 89 \n", - "projectedDaysOpen 152 122 \n", - "NightSkiing_ac 30 NaN \n", + "Runs 13.0 55.0 \n", + "TerrainParks 1.0 4.0 \n", + "LongestRun_mi 1.0 2.0 \n", + "SkiableTerrain_ac 30.0 777.0 \n", + "Snow Making_ac 30.0 104.0 \n", + "daysOpenLastYear 150.0 122.0 \n", + "yearsOpen 36.0 81.0 \n", + "averageSnowfall 69.0 260.0 \n", + "AdultWeekend 34.0 89.0 \n", + "projectedDaysOpen 152.0 122.0 \n", + "NightSkiing_ac 30.0 NaN \n", "resorts_per_state 3 2 \n", - "state_total_skiable_area_ac 2280 1577 \n", - "state_total_days_open 345 237 \n", - "state_total_terrain_parks 4 6 \n", - "state_total_nightskiing_ac 580 80 \n", - "resorts_per_100kcapita 0.410091 0.0274774 \n", + "state_total_skiable_area_ac 2280.0 1577.0 \n", + "state_total_days_open 345.0 237.0 \n", + "state_total_terrain_parks 4.0 6.0 \n", + "state_total_nightskiing_ac 580.0 80.0 \n", + "resorts_per_100kcapita 0.410091 0.027477 \n", "resorts_per_100ksq_mile 0.450867 1.75454 \n", "\n", " 4 \n", @@ -3216,27 +3812,27 @@ "double 1 \n", "surface 0 \n", "total_chairs 7 \n", - "Runs 65 \n", - "TerrainParks 2 \n", + "Runs 65.0 \n", + "TerrainParks 2.0 \n", "LongestRun_mi 1.2 \n", - "SkiableTerrain_ac 800 \n", - "Snow Making_ac 80 \n", - "daysOpenLastYear 115 \n", - "yearsOpen 49 \n", - "averageSnowfall 250 \n", - "AdultWeekend 78 \n", - "projectedDaysOpen 104 \n", - "NightSkiing_ac 80 \n", + "SkiableTerrain_ac 800.0 \n", + "Snow Making_ac 80.0 \n", + "daysOpenLastYear 115.0 \n", + "yearsOpen 49.0 \n", + "averageSnowfall 250.0 \n", + "AdultWeekend 78.0 \n", + "projectedDaysOpen 104.0 \n", + "NightSkiing_ac 80.0 \n", "resorts_per_state 2 \n", - "state_total_skiable_area_ac 1577 \n", - "state_total_days_open 237 \n", - "state_total_terrain_parks 6 \n", - "state_total_nightskiing_ac 80 \n", - "resorts_per_100kcapita 0.0274774 \n", + "state_total_skiable_area_ac 1577.0 \n", + "state_total_days_open 237.0 \n", + "state_total_terrain_parks 6.0 \n", + "state_total_nightskiing_ac 80.0 \n", + "resorts_per_100kcapita 0.027477 \n", "resorts_per_100ksq_mile 1.75454 " ] }, - "execution_count": 48, + "execution_count": 126, "metadata": {}, "output_type": "execute_result" } @@ -3264,9 +3860,59 @@ }, { "cell_type": "code", - "execution_count": 49, + "execution_count": 128, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " Name Region state summit_elev vertical_drop \\\n", + "0 Alyeska Resort Alaska Alaska 3939 2500 \n", + "1 Eaglecrest Ski Area Alaska Alaska 2600 1540 \n", + "2 Hilltop Ski Area Alaska Alaska 2090 294 \n", + "3 Arizona Snowbowl Arizona Arizona 11500 2300 \n", + "4 Sunrise Park Resort Arizona Arizona 11100 1800 \n", + "\n", + " base_elev trams fastSixes fastQuads quad ... AdultWeekend \\\n", + "0 250 1 0 2 2 ... 85.0 \n", + "1 1200 0 0 0 0 ... 53.0 \n", + "2 1796 0 0 0 0 ... 34.0 \n", + "3 9200 0 1 0 2 ... 89.0 \n", + "4 9200 0 0 1 2 ... 78.0 \n", + "\n", + " projectedDaysOpen NightSkiing_ac resorts_per_state \\\n", + "0 150.0 550.0 3 \n", + "1 90.0 NaN 3 \n", + "2 152.0 30.0 3 \n", + "3 122.0 NaN 2 \n", + "4 104.0 80.0 2 \n", + "\n", + " resorts_per_100kcapita resorts_per_100ksq_mile \\\n", + "0 0.410091 0.450867 \n", + "1 0.410091 0.450867 \n", + "2 0.410091 0.450867 \n", + "3 0.027477 1.754540 \n", + "4 0.027477 1.754540 \n", + "\n", + " resort_skiable_area_ac_state_ratio resort_days_open_state_ratio \\\n", + "0 0.706140 0.434783 \n", + "1 0.280702 0.130435 \n", + "2 0.013158 0.434783 \n", + "3 0.492708 0.514768 \n", + "4 0.507292 0.485232 \n", + "\n", + " resort_terrain_park_state_ratio resort_night_skiing_state_ratio \n", + "0 0.500000 0.948276 \n", + "1 0.250000 NaN \n", + "2 0.250000 0.051724 \n", + "3 0.666667 NaN \n", + "4 0.333333 1.000000 \n", + "\n", + "[5 rows x 32 columns]\n" + ] + } + ], "source": [ "ski_data['resort_skiable_area_ac_state_ratio'] = ski_data.SkiableTerrain_ac / ski_data.state_total_skiable_area_ac\n", "ski_data['resort_days_open_state_ratio'] = ski_data.daysOpenLastYear / ski_data.state_total_days_open\n", @@ -3274,7 +3920,8 @@ "ski_data['resort_night_skiing_state_ratio'] = ski_data.NightSkiing_ac / ski_data.state_total_nightskiing_ac\n", "\n", "ski_data.drop(columns=['state_total_skiable_area_ac', 'state_total_days_open', \n", - " 'state_total_terrain_parks', 'state_total_nightskiing_ac'], inplace=True)" + " 'state_total_terrain_parks', 'state_total_nightskiing_ac'], inplace=True)\n", + "print(ski_data.head())" ] }, { @@ -3293,15 +3940,92 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 166, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "RangeIndex: 277 entries, 0 to 276\n", + "Data columns (total 32 columns):\n", + " # Column Non-Null Count Dtype \n", + "--- ------ -------------- ----- \n", + " 0 Name 277 non-null object \n", + " 1 Region 277 non-null object \n", + " 2 state 277 non-null object \n", + " 3 summit_elev 277 non-null int64 \n", + " 4 vertical_drop 277 non-null int64 \n", + " 5 base_elev 277 non-null int64 \n", + " 6 trams 277 non-null int64 \n", + " 7 fastSixes 277 non-null int64 \n", + " 8 fastQuads 277 non-null int64 \n", + " 9 quad 277 non-null int64 \n", + " 10 triple 277 non-null int64 \n", + " 11 double 277 non-null int64 \n", + " 12 surface 277 non-null int64 \n", + " 13 total_chairs 277 non-null int64 \n", + " 14 Runs 274 non-null float64\n", + " 15 TerrainParks 233 non-null float64\n", + " 16 LongestRun_mi 272 non-null float64\n", + " 17 SkiableTerrain_ac 275 non-null float64\n", + " 18 Snow Making_ac 240 non-null float64\n", + " 19 daysOpenLastYear 233 non-null float64\n", + " 20 yearsOpen 277 non-null float64\n", + " 21 averageSnowfall 268 non-null float64\n", + " 22 AdultWeekend 277 non-null float64\n", + " 23 projectedDaysOpen 236 non-null float64\n", + " 24 NightSkiing_ac 163 non-null float64\n", + " 25 resorts_per_state 277 non-null int64 \n", + " 26 resorts_per_100kcapita 277 non-null float64\n", + " 27 resorts_per_100ksq_mile 277 non-null float64\n", + " 28 resort_skiable_area_ac_state_ratio 275 non-null float64\n", + " 29 resort_days_open_state_ratio 233 non-null float64\n", + " 30 resort_terrain_park_state_ratio 233 non-null float64\n", + " 31 resort_night_skiing_state_ratio 163 non-null float64\n", + "dtypes: float64(17), int64(12), object(3)\n", + "memory usage: 69.4+ KB\n", + "None\n" + ] + } + ], + "source": [ + "print(ski_data.info())" + ] + }, + { + "cell_type": "code", + "execution_count": 274, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 274, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ "#Code task 12#\n", "#Show a seaborn heatmap of correlations in ski_data\n", "#Hint: call pandas' `corr()` method on `ski_data` and pass that into `sns.heatmap`\n", "plt.subplots(figsize=(12,10))\n", - "sns.___(ski_data.___);" + "sns.heatmap(ski_data.iloc[:, 3:].corr())" ] }, { @@ -3333,7 +4057,7 @@ }, { "cell_type": "code", - "execution_count": 51, + "execution_count": 198, "metadata": {}, "outputs": [], "source": [ @@ -3355,31 +4079,38 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 200, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "['summit_elev', 'vertical_drop', 'base_elev', 'trams', 'fastSixes', 'fastQuads', 'quad', 'triple', 'double', 'surface', 'total_chairs', 'Runs', 'TerrainParks', 'LongestRun_mi', 'SkiableTerrain_ac', 'Snow Making_ac', 'daysOpenLastYear', 'yearsOpen', 'averageSnowfall', 'projectedDaysOpen', 'NightSkiing_ac', 'resorts_per_state', 'resorts_per_100kcapita', 'resorts_per_100ksq_mile', 'resort_skiable_area_ac_state_ratio', 'resort_days_open_state_ratio', 'resort_terrain_park_state_ratio', 'resort_night_skiing_state_ratio']\n" + ] + } + ], "source": [ "#Code task 13#\n", "#Use a list comprehension to build a list of features from the columns of `ski_data` that\n", "#are _not_ any of 'Name', 'Region', 'state', or 'AdultWeekend'\n", - "features = [___ for ___ in ski_data.columns if ___ not in [___, ___, ___, ___]]" + "features = [c for c in ski_data.columns if c not in ['Name', 'Region', 'state', 'AdultWeekend']]\n", + "print(features)" ] }, { "cell_type": "code", - "execution_count": 53, + "execution_count": 202, "metadata": {}, "outputs": [ { "data": { - "image/png": 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HD/dQsFsH9Fp6BK5l97FLCfW4y3nyzBCmrpG3PXpiJo4vcbyAREQnomtt54vF+jsxmAAJs0WnRV/14/aIVu4Wu16Ti+fr/SmLkuOxP221HV+7nbXau9VYzh7W+/6tZBNDLS+ha/T46D292F6A4wYEgcRxA2wv4NF7erf71lYkHHN3l3TUAAm26yOlxHZ9kLXX10knR94GCk3fF4Bb677iLqQTr1tzc8my6zeqfR4bTO4KL91ak92Xa7YJrDvfaq27j11KqMddRrv54yPvuZdPfeWqqvCZieL6EtsL+P4DaX7u8XtWbTg/mIpycijJZMFhImcvaWa7R7Ryt9h1mmw3Jpvn62ODST5wZqil2udeapa82UWhVms+vZJNDLW8hK7R4688cR8zRYdb8xXKrk/U0Hlgf4pfeeK+7b61FdmKHLSQ5XnwQIa4qTNZcCjaHsmowT19cY5tYLe1k8XfGPCiEOIfAAn8OPCSEOJXAaSUf7juq+8C1lKFZztDybaa9RTJWO7zWMkIrsQeKWMf6nEXsdL88dTPvK3jUK52+tN1jX/zY6fbHrNHtHK32FWaXGlMLg5p/NFtusftZiuKQi1nD1dbGIZaXkLX6PHUcIbf+y/OdF3I7sWJHKNzZaKm3pKDVnb97b61XYmab8qcHk63zDcbibToZPF3tfavzj/U/p9a6SAhxJ8B/wKYllKeqb3WB3wOOArcAH5aSrlQ+9lvA78A+MCvSCmf7fi32EZCr5tiNQO11nOt57jtLtF/l1iXHmHvaLKbWGn++Oj7Tnasg7Xqb49o5W6xq2xkaNNWZzPtXafXC7XcMV2lx27cFNiKHLSQ5dmK+WbVxZ+Ucr1lc/8c+L+B/6/ptd8CviKl/IQQ4rdq3/+mEOI08DPAg8AB4HkhxEkp5Za4ETYzOfrCeI58xaXo+CSjBicGE/QnrRW9btuRnL3Ray53/E5KNN/uEv13gw3oEXawJpdju8bXWq67kXvcqNe+k2u3e0+zVmzXY2SiwELZ5Z+d6A/bqqyR3WYjO7Fp9TF1YTxH3vbIxAxOD2e2fddiM+aLTs/R/NC+ncWT9oLdWwvdpsd//Rcv85/fmMYLVGXnH/meffzRzz6yzl/h7pCOGkznKiyUqvhSogtBzNQ41LtnHQ5bzmY7CcTiSkObiRDiKPCFJi/KJeDdUsoJIcQw8DUp5f01DwpSyv+t9r5ngd+VUp5d6fyPPPKIfPnll9d0T80hLc0T5XrKnY9M5Pilz7xCwfERgoYAHjrUw7HBZCNEptmYWLpgPGdzT3+icf2bcyUOZKIqv2cLDMdGf+fljn/i1CDPj8xsyme5WWz2YkEI8YqUcmfPxGtgJ2pyOTZj3K5nLCy+7s3ZEpenihzujy15wN3oPT713OUlXvv696tVDezk2iu9B+AzZ2/yjStz9MZNDmQsxnMOC2WXd57o5+fb5BZuN6Eet1aPIxM5Pvq51wH1gOd4AY4XcHJfkmTUYDAV5eJEjltzFRIRwY15Gy8IMDTB9xxI05uMrmn+38z5ejNs+3rOsZnPFOtlu5xkoR43psd//Rcv8w+vL23Z8eNvG9rRC8D/8W/P8ZWRKQqOh+dLDF2Qsgzee2qI3//Jh7b79vYsa9Hj+kvFrI8hKeUEQE1M+2qvHwS+3fS+27XXliCE+DDwYYAjR46s+QY2I6SlPtF+/rtjzJeqSAmxiI5EMl92OXc7yy/90L2N9z79wnWCIGAiZ/PWdBEJRA2NTCxN1fMZnSszX6ryrpODW9LAdaO/83LHf/rsKKeH0zsqPKgbQyi2mW3X5HJsZNyuJRe33XV9P+DiRJ6ZvE3eVsWZcmV3yXlWusf6/1d6INuI176Tz2e1sNLBVJT3PLAP1/d55WYWy9DojRlcGM+HjaS3h23V4zPnp7h/KMmlqSKOF2AZGo4XcO52ln3pKBfG89xeKOP5knJVNadOWDpVT/LGeIEfvDfCZ87eZDAVXXUhshGNLnfvG7Xt6znHTgiTDe3elrGlevxPbRZ+9df/6Gc3dN9bSrZcpeT4xEwDKyZwPNWcPluubvethXRIJ33+flBK+c3VXtsg7ZqatN2SlFI+DTwNyouy1gutFma12IN2cijRUtHs5FCisduVt10ihoYXSKq+8pBKCdnKnca39apIl6aKWIaGJsDzA752eYZLUwVsLyBhalT9oNHAtX7cZk3mGw0tW+74qbzNY8f6Vj3vTgoN7Xbukh7hLmpyOZYbdxfGczz13OUVx9Nnzt7k2kwR15eN0LV6Y+TlwiIvTuTIVTyuTOURQqM/EcHxAgSQtz0QSx/sVrrH0fnyig+29esWHZexbIV01ODBA5lNLXC02nvqP3/peh7L0IiaOlJKio6/7OcV0spuspFj2QpH+hMkowav38pxbbYEqNBgL5DEIjrlqo/rB3iBej0ZNYgYgorrc3W2yGyxyv50lKoX8NZUgXO3s/zGk/cvGUcbdZy0u/eNFj5ZzznuRuh2SOd0kx6DZU6+3Os7hRtzFQ70RClVfRwvIGpq9CdMbszt2SJDXUcnO3+fAr63g9c6YUoIMdy0hT5de/02cLjpfYeA8XWcf1VWSo5e7Im8MVvkc98ZJRU10DXBW1MFPv9dl4cOZcjETIQQaICGpFT10XWBHwRUXMnH/uECJ/Yl+ebVOaqeT0TXmCv6LJRcAtTMka+4+BLKjs+h3jt/is2u1LXRhPDljh9KRynYXuP1mYLNhfE8ri956rnLjUpEnXh3VzOAqy3K95DB3Ew9wg7Q5HK0G3c3Z0vcXqhwqDe+4qLqG1fm6I0ZJC0dx/V5dTTL0f4YL123W8YM0NiZH50rI4Sg4gboQjJXquIHEkODctWnXPX49rU5jg/GuThR5qnnLnNxPM9bUwUePJBmMHWnmXre9khE9EYpbF0ICrbLz//pDPtSUY72xXB8SdLSyZVd5kpV8hWXn3j4QOP3+OK5MT59dpSpvM1QOsqHHj/Cjz50cMXPZ7GuV3tP/ed52yVlqTnI8QKSUWOvVwxcC7vCRo5MKIfFd0ezWKZGyfHojZvkKi6VaoBdtYlFdDQBQe3p1PFhvuggEQgCLk26gBrrhqYKQswVq3zm7M0l4WAbcZy0YzMKn6znHIuPaWcHOwkZ7fR3bWcrYe2L5dXo4kXprtDjTkYisT2ffMVVGx+6hq5BQu+kdXjITmDZv5QQ4nEhxK8Bg0KIX23697uAvs7rfR74UO3rD3GnCtPngZ8RQlhCiGPAfcBL67zGiqzUTLXZE6kJwbWZEiXHJ1/xSEdrE3uxytXpIgA9MYOc7ZG1PRxf4vlSVUAydC6O53n5xgJDKYt8xWU8a5Mru4iav0iidggF4AcSIZTROHttji+9McnofHnTGmau9Dtv5PgPPX6k8fVUvsKL1+Yp2B5vO5xuGLHPnr3Z8pnWv657d2H1hqGLf359psgnvnSJG7PFPdNgdIv0CDtAk8vRbtxdnipy/1AS1/d56fo8L16f49pMkc+evdk47pnzU/TGTRCiUZFMSsm3ry1g6qJlzNTH52TeIWrqZGImhiZwPLXYK9gu82UX11chcLbr8/XLs7w1VSBXcXnb4TQF2+PFa/NM5SuN+9UEvDlZwHZ9NODGXInxrI3j+hgafOvaPG+MZXn9dg7HC+hPRAD41FeuMjKR44vnxvjEly6Rr7jsS0bIV1w+8aVLfPHc2Iqfz2Jdr/ae+s8juvrdbFd5ck8MJvZ6xcBV2U02sj7HDqctdA0mczazBYfJnE3VU4UoApQTJGLoaNqdrQ/Hl/hBgBuAF4CUEilRvSmrPjNFm8+/Ps5Tz11umaOXa16erzkUV9J4OzZq59Z7juZjlrODy9mmxc8c7exjM+1s5SefvcwfPHNpUxtud2MT792kx51Of8xkLGtT9QMMIaj6AWNZm/4mp0nIzmalnb8IkKy9p7lEbh74qdVOLIT4C+DdwIAQ4jbwMeATwF8JIX4BGAX+SwAp5QUhxF8BFwEP+OWtqipYL5n6mbM3eX5kDoHgaF+Mz569yTeuzjGUsrhvKMlAMsqthTJe4JOtBBjZCr3xCPGIxljOZqZg4wUQ0QXVmv3yA0nM1IkYGn4gmS9XeeRoL6/fyuIGardf1P8JkBJ0TZCOGmTLLq/ezIIAXYPhtLVpOTfrLRPb7PmLmRqu5/PmZLnRoP7yVIknTg3yrStzPD8yjR+ogjXN4asvXZ/nvaf2tZy3vqNQP/9zF6cwdcGDB9JowmwJ/2mXVzVZcEhYBpN5h6MDyY5CZbvYi1lnQ3qEnavJZhb/nZ44Ndiyw3u4P0bc0hv5aSnLIFuu8oU3JpgqODx4IMPFiRwHMhYv3cgSSKXJStXDD6iNMUHV87k2U+TGXJn7h5LMFB0GkxYAEUNguwIhwJdKr76EkuNxa75M0fHQBTx3cRLL0EjU+hy9fjvH+0/v54OPHuJjn7/YWHjeLjpIKdE05fSJRQyEgILtIhAMpdXuRzpqMF9yeeb8FF8dmSJfcZktOgCkLINE1ODTZ0cbu3+d6Hq199R//tmzN/l6rfDL2w9niBj6nq4Y2CFdbSObtTY6X2Y4bXF0QBV2+eK5ScpVnwDQhU8g1dgVgOsHJCLK8QmgCRAINA2Cmp0zNIHrB5Rdlc7gB3LJrtZy+a6ZmIHjebw2mmto3HZ9vn5lbsVKtJtRDn2954iZGi9en2Om4NAfj3DvvgTXZsoqNUTX+OzZm3y8TSGM5XY/L060D21vzkeuN3teKDnEIwYPHeoBNifnsEubeHe1HruJrK1sYNWTqH1/MHX1ekh3sOziT0r5T8A/CSH+XEp5UwiRkFKWOj2xlHK5dNX3LvP+jwMf7/T8G6XiBjx2rB/b9fjO9QUkkLJ08rbHKzezHB+IU3Z9BMq4ZctVZgsOEV0QCMGF8TyZqEFE17gyU8TUwNC1WuEXMHRBINUiT2uKDq8HfBsCEpbBQMri5L4k37m5gBsEDCQtTuxLMJBU3rb1FKJZKRzkF955dM0VD4cz0UZVUk2IRqPJXMXlb14ZQxOCnliE3rhB1Ze8cjPL993TQ1/CQiJbQkNBeXctXTTOH8gApMaro1m+90gPg6lo27ykOkXbq/2t7uRWrhSittmFBbaDjeqxdo4drcl2f6fnR2Za/k5PPXeZr12abuSnlase04UqhqaRr3nfr0wVqfpqN63oeFRcn6KjwpSvzJQ4e3WOvO3RlzAxNJXPl694mJpGbyKClOpBNmYa+IFLEEj8QD3glqs+VV9iagLHDahUfUxdQxcaB3tifPR9JxmZyDFTsJkvVlkoVbE9v3a8eigGiJk6RdvFDyQlx2O+XKVQcZHAf/z2DbIVD6TEMjUkkLM9tSvntmaDdFLoYbX3nBrO8PGffKhl/sjEzC3tW7Yb6GYbuVhr3x3NkitXSUbrjwSyYauEAFFb/Emg5KhCLxFdkLQMtNqYHkpZXJkp4ngS2w3wagtBNEnc0JcsSpZbaD1zfqpF4+oeBL3x1hzUlRx69dfrO2hrXQCupzroE6eG+NIbk9iez8hEgXTMXHXh2i7MdHSuxK25Cgd7loa2XxjPcXu+gmVqjZD2qbxNXzzSct6Nhmx3YxPvbtZjtzGVt/F9tVFRx/fV6yHdQSc5fweEEF9CeVSOCCHeBvyilPK/3dpb2zrqO0lVz+eFt2apVFVOnkDHNJSxee1WlpihU6r6+ATq55oKcelPGBRqxV56ExEGyiZzJRfPD3DcKomIjhdIEpbBsxem2mYBu4HykkZ0DU3TOD2c5tSw2pWos9ak8cUPzn/wzCU0ITjct3x+1OJzNHuCY4ZgLFtZ4mE8c1Adm4mZzJdUdae+ZATH9RvG+sp0iVPDOg8f7iFXK4BT9+7emi8zmbexXZ+BpIWhaSAEliG4MlNiMBVtm5dUN5DJqEG+9v1MwebKTIn5YpW+ZKStgW3nLd2fsjquSrfD2HV6rNNJ1bwnzwzxuZdHawsyScX1MYTgYE+8UaTE0AULFTW2/CAgV6niBXA7a6NrAtdXnsrZQpW+hLpGOmYwW3TQNLVLMZSyKFXVQksTAsOgtuhT1s4NJAvlKpoQBFKyPxMjb3sNHaajJoYQ5GwXu+qDkJiaTtULeP1WVhWHAnKVKlXfRyBwPDXPlKo+QS10Tpe5cPoAACAASURBVP2TBAEU/YAA1tSHby073mHFwHXTdZps1tpMwabsepQcj69dmqE3HkHjjqNSyqWVLCK60pHt+RwbSCJQUSyGEDjIRqQLKKdHfyLCbNHmrakiUwW1m10fi+3G3N+9NkZvzEBK2Wg38fbDmZbCbO0ces3thzbT0becjtp9jrMFB1NXEQGiFnq+eOFap93u56WpIieHkm3nwbzt4Xg+ecel6gVEDA2BylNuZi0h2yMTOT579iav3cohkTx8uIfxrE3VCyg4XuM6lq51SxPvrtNjt1FxfRCoiIDaJocQtddDuoJOsjP/T+ADwByAlPJ14F1beVNbyRfPjfEfX7zJ37x8i797bYyFokPU0JBIZkpVjvXHSUcN8rZHKmrg1bz+FTfA89Ri7dGj/QykovzA8QH6EyalatAI5QQoOqoaWtIyCIKAoKmXoi7ufOhl1+dgj+qL9OCBTNv8h04n8Ha5A/OlKrNFp6N8gsUx/uMLZV6+meXKVIGpfIWbs0XGcza5RaV8q16A4/mcGEzgeAG26xPRBbNFh1zF5ecfv4cPv+sYmZjJRM7G9dSDreMG9MVNbNdnvlTlxmyJm3Mlrs0UeX10nm9fm2tUdTw5lGjJw9ifsig5HjFD8OrNLPmK2xIquzgv4cJ4jstTRRzXb3hLz93O8tU3p7sqp6HGrtJjM2PZCqmo0ch9fe7iFBfHc1wYzzFSC4P6w+cuU3ZUPl65GmC7Abandvbquxa6JuiJGpQcj9GFCoEEo5ajNJ61WSjZlKsepapHwfY41h9nMGkRNXXSMZO+ZITehMWTZ4YYSFgEUi38fAmlaqtx8wNJtuJxfabAbMFu5BCeOZhG1zV6YhESloHrqWNtVz3IQi2ELlA7KVU/IGrqWKaOoalCUkKA7Qa1a6vFYCKidzxOuzFvp0vpOk02a+3V0SzJiIEMJNN5m4sTeRaaHvL9RYs/XVP5fBFDw/UCbs2XGZ0vc2u+jOMH6Ci9AbVwMA0hBK/czJK3PYZS1opj8dRwhnee6AchKDo+lqnzvUd6iJpGwx4ulyv36bOja8qh64SVdDSWreB4Hl8ZmeILb0xgOx5SSlzfZzyrmmA7XsCp4VRbR25997NuHzMxk0O9Me4ZSLS8r14IZ3xBfdYLpSqg7Kjrqznwa5em+fKFSb52aZqbc6WOch1HJnJ88tnLnL02j6FBRBO8eG2eW/NlpnI2VTfA1ARVN2CuWEVsYV/oTaTr9NhtBL6PL2mEgwdSzROBHy7+uoWO+vxJKW+Jph0poCv/wl88N8a//U8XKdW8WfVBazoesYhBzNC4na2o3TcpmSo4DQ+oBDwJcVNwz0CCqbzNt6/OcWOuhBAQj+i4gWz0RTJ1jX3pKAXHQxMaES1Q+UNCAJKYLhhIRblvKN3wBrbLf3j0aM+qZe2hfe6A+h1bJ+vldhObjels0Wa+VKXsBlQ9n554BBC4XrBkgRqpWfnBVJTvPdLT2IXrT1ot3tbmsD2ztqPquGohWK76GLpA1wS26/PqaI6Hj2Q4NZxuhP49sD/BV96cbVQ+/LkfOMxX3pztKFS2Xqa/visZNXVuOz66xoq7TDuV3aLHxRzsiXF9psjladUWJVkLw57O23zy2cskIjoXxvI4no/j3RnXVV8t6k4PpwGwDB3L0JXjI2pimRpzxSqGjqrG64GhBeiaIG97vH4rSyJqkImbPH68n5NDCf721XHOj+WZLTq4gUSrOW2a/ev1nED1tYahaXzh3AR9CZN96RgDSZORiSKBlJiGhu8HeFI5gCKGRszQKDpq7PtSkrQM+pMR5ooOri8xNShWA5DqgTtm6Y0c107G6U7oP7ZX6DZN1qMprsyUsGo56rbn465SY76eBuEFsmEXXc9vOEktUyMSEUoXkoZNzFZcBmo5tSf2rZ6n/fOP39O2cXo9B7XZ3tWjPwoVl/FcheMD8ZYwyo2GQK6kI0sXnL02T8nxiNZ24aTjodVCxG8tlLl3MEml6nN0INn2/It3P5967vKyVY5dX80TXiDJV1Q6RU/cpFxzStXtfT2CaLWd/2fOTzFbdEhFjYZ9RAgm8hVMQ8My1fNMPcxUto7xHUu36bHb0HQdvKUfqaZvpPZcyN2kk8XfLSHEOwAphIgAvwKMbO1tbQ3/7mvXqLgB8YjeEiaRd3zKrs/+lMX12TJDKQtT17CrHgHqoU+vPejlbJ9ztxbI2R73709ybbaAkAKn1gMJVKJ7xQ24vVAmamiUBPgBREyNdNTECyQDyQiZmNkwSu3yHx492tNxCEu73IH6wqyZ5XYT68Z0tmjzys0sXqBC4wKpjqnneDh+QK7iNgxyXyKCJgS5ikt/0moUilguzKZ+nRODCV4dzbJQcjB1VSVuMGFhaAIvkFQ8eWcHs+jwd69N8APH+3nsWB8F2+Ol61lmC/aS37Gdoc/EDHLlKrbrNxbnrh80KriudOwOZNfocTFPnhnio385CYLG3wnAMnXOjy2Qt9XOWfswasnl6QJDmRgDSYtASq7NlEhaWq0KL7XCL0EjRE09Gkimi1WitscPnujna5em+cvv2OhAKmY22rLI2gIsWPRwrAsaY7bq+Ri1sM2FUpVbC2VMXSNqqjGqWzpFx8PUNTIxEyklFS/AMnV0TTCYUruP1WhAqeojA7AMSEV1XB964yYn9iU6Hqeb0fcspCO6TpP1cMP5YpXeuMGlmSJVvzbWlzmm/iit3hegi5rXH0E6qpN31MPgUDpGxNCYL1cp2R5l18cMJOmowYl9yUZLlJX66z55ZmjFwit1e1f1VBsXy9AwdYFlaHzn+gKPHRctrVc2UrV2JR1FdDWPVP2AqKERSIjoGq4fkLIMNKHmhldHs7z/wc6ray92BF+eKnL//iTnbufwAknUBCl1hADHkyQtk3fff6ewWq7i8pmzN6m4wYrPD2PZigo991Sv4oih0VvbNZXAQNJqzMW265OJdbRfsN10nR67jXruevPyWja9HrLz6UTJ/wr4I+AgqrfJl4GujJ2+vVAmampIqbyXTWkJaEJwO+egC7i14NEc3RWgEt6jpqDqSl66scBAMsJk3iETi1D1VNiF7QaApPbMStH2VAhazGDKq+J6AboGPfEIQgj2p6MtRqnZAzgykeNjn7/IfLFKLKLu2Zdy2cphzQbDdj1GJgpM5W1ips71mSL3DCRavKfNxrZku7x8c6Fx/z1xE32RiKt+QF8iQs72ePG6qpL68OEMv/Hk/QDLGunFRt3SBQXba+wUfvniFH4AsYgK7XntVpaUpVO0vYZH99p0Eb8WSqMJVQL8+qxqw1FPRq8XmTF1fYmhPz2cIW7qTOadRuWy4Uz0jqezRpeUtt81elzMqeEMh/tj5MouBUe1VzlzMM1XR6aYLrjLPpTWuTpTJle6zXBPnGylSsHxqKUXYWng6xqOrxZsiYhBpbbzbKiUU27OV7AMDSklJTfA8SVSyoaBCxbdQL1ab30XpOz6ZGI6U3mHqifx/IAgCLCrAq8WtqkWkmqCqFcHDiT0xSONNgsCwcOHMtyYr7BQVvmKh3tjPHQ409jdrvclXcmrvxl9z0I6ous0WXc2fuzzF5krOpRX2/KjdVFYj4QxNRBI8raHrEWHjOcqGJpGRBcYuiCmGfREDfano40FGSzfX7d5kfLR950E7tiRP/3GjUaf1+dHZrg2U8TSlUKrvuSRe3p5c7LId27M0xuPMJGzKVd97tuX4H/6WxtZe18nOd71a14Yz/HWVIEzB9MMJFsXlBfGc0QjGnbOp2C7mLpaAAoEsvagkY6ZnNyX5PJUiR/t8G/zxKnBlh6fpiGYyNkUHA8ZBEhNU1EIUlUaPdCzdHH6/Mgcjx3rX3Hn39IF2bJ6TrEMDd+XjGVtIrrWcEbVbebR/viyu5c7jK7TY7dh6AJd0FIFWBfq9ZDuoJPF36NSyv+q+QUhxL8C/mRrbmnrMHW1C+D6AYuHqFuL3/Klqlq0mABwXFlLbFULN9tVlf7my1VkoEIu6msmARQdD8vQAJ2BZATHDYhHzFoZbMl3b+dIRY0lBRzqxnCu6BA1BLfmK/iB6jPmBZIbsyXecaK/peFzcwuLb12dpzdu8kMPDFJ2fC5NFSm7Pg8eyDTCZurGtlCp8s2rc0gp0YWg4vpM5QMMIZEIUpaBZWgUHY/5ssp5eOLUUGMhWb/2qeHMsga62aiP52wVktIXpz9pcbAnRtH2eOx4H4OpKOmoaipsaKLh0fWlqq5YX+BdmS6pEBQpcXyJZQgiuuD8WJ7jg8kl5enVwrjMqVqV0ubKpc27mF1S2n7X6LEdp4czDY/+lZkSr43mmCpUGwZmtQXgbNljrpxf8j4nAKcWshygEtOTloHrB0R0QaEaNKoLVr2AsuuR1iONC8rafwyhHnrr4W9BINE0Nf6QsFBSO3uWoVGuCqq+xNBk47j6w2fR9hBCkIzo7O+Jcv9QiquzJUbnywSBJB03+fUPnOT4YLIl/K2e+/ro0Z5VK9guV0q/C8Z4t9GVmjw1nOHf/Nhpnn7hOjfny8Dq+lqM6u2n7GIyIrA9sKs+8Ygk7yqbeLg3xqGeGOduZ7k5X24UEOlLRPiNJ+9fMawSaGlDcmo41UgFeOLUIH88WSCQAZlYpLE4C6Tk7LUFKq5PvuyiaYI3xvOcH8vTEzN558mBjoqf1fX1tkMZvnN9gbNX53nseC+WYTQ0+OyFSUDlm9/K2viBJAgkQlM5voMp9YgVt/Q1FW97fmSG08NpHjvWx83ZEl+7nKc/GWEoZTFW6724LxUhFjFwvID96dbFX8H2EAhS0dZHvMU7/xJIWgZFx8OrlSQOpCRu6hzoiXFPf6Jl7lhLz8RtpCv12E1Yho4mVNFDvVYkzfMDLCMM++wWOln8/Y4QwpFSfhVACPEbwA/RRUIamcjxfz3/FtmaF70dqxm9+s/3py2EUA91UVMnFTWYLtCofBTI1vcHUi0C3/vAIJ6EwaTFN2qG7PuO9mAaOp989jJDaavhkZwtqMTvgaTFjdkSmoCKrwrHJCwDP4BPffUqxweTS3p6DaaivOeBfXe8/SnoTVhkYmbDi/rUc5cbxvbLF/NEDRV2JqWsLXJVDd+BqEEgBbanrt0Ti/D9x/pa+vjVvYjtvLef+upVTu5LUvV8XryuKm2auuBAJtoIeT1zIM14ziZi6KqYS9piPFshamrEaztzmhD0JiJYhsaV6ZLqnaQJBtMqfLSe74GQbY15u5Da1XYsdzBdr0dYvi3JbMHm2YtTZMvVWnimtkRTq9HJ+0ytXp0swPUFVi1kDFQfM6PmCReawERV+RWonCbdC0ATNb1LDqYt/IBGHrFAMJiKkKu4yFoWjqFrKnwAiZSqKe5Q2uId9w7w84/fAyiHzAP77zgonh+Z4cODyWXL4a+Wz7cZfc9COqKrNTmTq+D5a1323UGihrbjq53skuNhe5LeuMlgykLXNG7MV8g7Lpl4BImkXPXIV1z+8LnLjC3YvO1wGmjN07s4kWN0vsy1mSI9tXDD797K8b1HesjETL51ZY5k1GC+qJxD9VokEzmHo/1x1UbF9okYGlXHVbbY9XljLM8Tp+60QWqnh2Z9ZWImjx1X7Z1ev5XnfaeHGhq8fyjJpakipaoK86y4vsrXRdR29SWO69dCUfvafn6L58KZmv1v7mvbFzfJV1Q0xMFMlMm8w1TB4V98Tx/vONHP8yMzSxyZDx/OtG2z1LzzX/Ul77yvnwvjeSZyNkgVZXCgN8avvu9kt84dXa3HbiATi6ALmC+7uL6qcTGYjJKMRlY/OGRH0Mni78eALwghfh14Enig9lpXMDKR43f+/jwXx/NstFCVJtTu4YMH0lybVZ7SfMVFE6KWGK2a4fpBzSDWCsGYusbVmTI9iQi3Fyr0xs2Gl3K2aHN9tsRs0eFdJwfJVVy+fmWOHzzRx4l9CUYm8nhBgIY6rx9AJqozmbP5tb86x/tOD7X08/v77461NKqHpd6+5hyGfMVVi77aZ3OwJ8Z8ycH14d0P7OPieIGFsouhmTx2vA8p4ey1OdUywVLVEevXXvww6voBV2eLqhCAcacv0YWJAr/yxH1tQ0OPDiR5/4ND/PE/XsPxlUf3sWO96vOWklylimWosNAHD6rF7mAq2ghvW2sZ+y4xZs10tR6hfZn2X//r17k+W8bx/BYHjb84yW6D1Hf8i06AaUhipsrPGUxFldOjViQgYqgdwIguMHUN1/bQhArZTloGmXiEQsUlV6lScX1yZfVwmbRUm5ebcxUVUirUNR1P5QQNZ2LkbI+EZfDjbz/YCD1rdshA62Kunbe903y+sH3DXaErNTkykeMPnrnEq6MLGz5XAFi1qp6apvLNm0MExxYqmJrOu+/f16gwqmuQK7uYuuDFaws8fq9oCavMVTwO9sSp+iq/cKFUpVz1+afLMxzti/HGeIFMzCRfcZkp2Lw5kWMoHaXo+Lz7/gGeuzhNxFChp0EgEUKFotZ7ka2U/3pxItcSft6fMGuFa5w7v1O2wpH+BMmoaukkBPTGIxRsF13TiBgCt1aYqh650O5vsHgu/MaVOd5xb19jDijaHoMpC4SDZeq4vuTewQTpmNlI/zg+mFyyUIP2ReSad/7roeHveeDOHNNsS7t07uhKPXYTDx/O8E+XZ0hEDLwgwKg5aR8+3JXjZU+y6uJPSjkrhPgx4HngFeCnpNzZ9X4X96u7PlvCb1rgrJeIrhE1dO4bStMTj3BlptToLeZ4AfGI0dIHRwPKVY99aYvb2QoP7E+pRs5SLglhdP07BU4sQ/DVkRn6a8nWlbLXCC3riRnMlV0ihiCQqvjKJ5+9TCAl9/QnGEpZ5G2Pb16ZI2UZeLU8wTMH0o37ak6W9wNJIGWtAIZgoewSNXWiEaEWgPfv48kzQzxzfqptJcZ6b7N2D6P9iQhvTRc50hdvqSTW3PNoubyly1OllnylnniEC+N5NKEt2S3cS+Fs3ajHxSx2FEznK1wcL9Bumbe5Sz+Vk6AJFeY9lI6RtHQ0oR6e6jvyxwYSTGQrZCtVpIRyVe3oRU2NeERHCMGJwQQv31ggX/Ewav0+XU8VavEDSSyiGmDbnq9yjKV6IJ4rueiaaCl3/+F3HVt2MVff/Vgc3hkztVW9+iF3h27TZH3O/fLFSaZyNhVv47eq2pZITgzEuD4T4PmypcCW4/kMpFS1z3qFUcvQKDgeDx/u4cVr85wfy/Ouk1ZjPk9HDVJRA9cLuLZQqUUCKEfKdN4hYelkYgbZcpWqL4lognzFIxbRKDv16pcKlcN+p2fFTMHmwnge15c89dzllvy/kYkct+YqICAdNZgvOYxM3Am7XKzBgWSU44NJ5TxC5cfvT1vMFKogVITQ6QMpnDa7q+2cpr1xk5GJAkNppeV6X9uhdIwfON4P0GIbV8r9XW3nfzeGhnebHruRd5zo5/k3p/FrSX++SnTlHSf6t/vWQjpk2cWfEKLAHYeVBCLAceCnhBBSSple7tjt5IvnxvjUV67iBZK+hOqdk6t4eBtd+QGmATnHbalsma+4nNyX5I2xXK0iVoAXqK2/iKkBAseVHOyJcmwwyWTBwXF91dC8KYSx3qNspmDj+pKS4zGUtuiNm2TLLroQHOmLM5GzqVQ9qkKVkn7h8jQlxycdM3joUA8n9iX51tU55otVyo7HcCbKXLHKN6/M8sE/+RZSqIffbMnFlwEDCZPJQhXfDTANjYLtUgB+7f338Yv//L6W379dJcb7h5THsV1xieFMlDcnC0gpW5r1PnxENett5/Wsh8DOFB1uzVU4OZTknoEEEUPneC0Ert2isYtCUtZFt+qxHarIUJUvX8xTcjyKtrfpi7zl8HyJDlgRnfedHmqM2Y++72Sj2fGz5yeYL3uqmmFTj7NyNeD2fJl3nRys7Qz6CKEaWxuahjAEIPCCgMFUpNaQWc0FcVOj4vpYhk6PZXDfUGu5++WKs9R3PxbvCLqe38i53S0Pbd1GN2qyPuf6fsBMwSFbWb2QUidotVwxFQWjk9BkS7GQA5kY0YhyANajRhxPVVweTEV59Fgvr9/OMZGzW0Kbb8wWmSk6KiddUy1Rql6AkCoKZ6HsEo8YmJ5PNZDYXkA6ZvD67Rz98Qhj2TK+VLqXSGTgsb/H4sVr80jgseO9LQ3iL0+V+PLFSXyp+vouBAETOdXwfDJnczAT5eJEXhViMzUGUhb39Cc4PhDnO9cXkKjUEC+A3kSE77unp1GkaV/KXPK5tXP6nD6Q4ptX5hthnPtTFhPZCvcPJZc4O1cqltOJPdxNoeHdqMdu5fJUiceO9jFZcJSea+O006JGIdvPsos/KWXqbt7IZjAykeNTX70KAvoSajcuV3EJNmHhpyqKaUR1DdfzmcgpL/tH3nMvz4/MqPBHKUlFDSZyNvvTUWK1xKKFsssjR3sBGi0OLF0sCWEE5RWNmjpHBxLEIgZuIDnQEyVbVovOUtXHEMrLGjc0srWY64rrM1OwGUxFSVgGlaqncvW403D3ykyJwZSFlJLhTJTXbuXojRkMJSPMlKr4gcTU1Y7Fm5OllkI0y1Vi7EtYjGUr/MI7jy7xIGqaxjvv7WesVqWsfoyp6+xLmUu8nvUqnvUQ2Lipty1W09z38BfeebQrDdVa6UY9LkfZcfn6W3PqITGit+yWbzUS8AAz8PnCuXFMXeMj77n3zr25Abquk45Sq2CoaPQ3k3DudpYHhjPctz+FmC5iu36jTPqBVJRb82VmClWODyYZSgVM5m0Ktmr+fLg3xtuP9CwJyW6nn+bdj2bUHOPtmoe2bqUbNfnM+Sl8P+DydBFdiA2nQtSRUu2mB1Jy5kCKqUK1pcDWrfkygZTkKm4jagTgzEH1PB41Dd5/en8jL73ORz83iZRqB67s+ki/ln5RK34mvQBqLVP8QNKfNFRlZ9vhUG+U0QWVnhEzBZpQvXgdVzKQMlqqdy6UHD71lav8wL39tQqaOjO2TaWsFpumJgik5NxYnv3pKL1xg/mySvmo1kLVHzvehwCmCg63F9RirS9hNYo0tXPMtHP6WIbBPzvR38iLPzaY5ANnhrg8VVqi9ZXCxYGOFobLFWxbrRrqTqMb9ditjGUr3DOQ4NjgndDuQMqwjVAXsWrYpxDiJ4CvSilzte97gHdLKf9+q29urTxzfgrXD4iaqll72fEoOpuzq6AqeQpMQ+PVW1nef3p/Y3I8PpjkM2dvNsLGfvDePsZzDgtll3ee6EcAZq0KUr3FwXIhjPPFKroGbzt85wExkJI3J/PkKh5Fx8f1fVJRnaipq/Aazydu6LXFXRQpYSgdJRZRf15NCGYKDoGUZGImtutTcQOO9scB1UetP6VaH9iuT9TU2zaSrldibDZU9bLzy3kQgZZqhc3N6//4H681KrWd2JdYEgJ7dCDZUqxmo17O3UA36XE5bs5X8KUkW6puaufdnphB0VFhlxKI6KqqbrvnWz8Q9Cci7E9HeX5kppEzk4mZ2J7qBVp/QK0jgbipk614tf5YHqamkU6ZjbBm2/UxNa3R/D1hGRzqjVOwPRIRne872tc2VHM5/TxzfmrZdg1dnJOzq+gmTY5lK0zmbYJA4nj+puz6ASAgE1V97fqSUX760cOti5UPqEXdM+enSMdM8ra36uLo1HCGQ70x8hWXiuvTG4/QG48wV3KUc1EIdCEoVL1G6kJ/woJaNe6qD+8/PdTS4md/2uKt6RLvOjnYaIQOMJGz8QJlH1MxE8f1CaTAMiBuWThuQNXziegaxapHLKIzkLQ43BdvKaZWp9PIlOXCLtvZtB9lacuLixM5HtjfuqFVdyh1UhSq+X53i23tJj12K2Eboe6nk4IvH5NS/l39GyllVgjxMWDdQhJC3AAKgA94UspHhBB9wOeAo8AN4KellGvKRB/LVogaGuMLNkKg+tZtknULAuU9jNUSrhdPjr//kw+1TPjv3p9pLA7rEyuoiXmlEMa+ZIThtNVY+IES1elhFSp5fCDOl85PNnltJUIIEpbOfLFKINXuXcH2+J5DGV4dzTaqkNWbTVuGRt52OdoX41tX5xuFKlJRE00TnDmYbpsMv1p+wHIPo8s1rzd1AVJr9OmreqpvX7Jpp6P5PtZizHYxm65H2DpNtmM6by/brH296AI+9I5jzBZtvvTGJAsVF7PWUgXuFFuQ1Cp9aqLRcDpXcRvjczgTJWHplB1vyf0FEkqOyr8dzkRxPZ+bs0XKVZ3+hIkEio5PxNR5+6E082Wv8dB5+kCK2WJ1xVDN5fSz23JydiFdYyMP9sR48docuXK1UcF2s8I+exIRqn7QsGvtwr+W6/+63OLowQMZEhEVAVLPEyw5OiXh8z0H08wWHOZKVTQBB3qi6JpopBZ86+o8jx3rayk8E0jJ5eniknzZuVKV/oSqVFiPzqn6AQJJJhahaNsIITB1qFT9RkTRt6/NogltyS5Zp46ZtYRdtlug3ZqrEDf1lt+x/hDeaVEo2HW2tWv02K3sxlzRvUYniz9tncetxg9JKWebvv8t4CtSyk8IIX6r9v1vruWEB3tivHErq3ppeaph+ablEglVAXAybxNIuDiRZ3/KWlJaHe60D6iHXqw2wS9u7v70C9fb9p+r7wIc7o0zXbBrVdAEx/oT3DuY4OpMiedHpnBcVWSiUPFIWQb5mpc0ZakJ3fECXC/g7LUFvCBQfc2qHtmK28hRuDFbZCLv8D/89estpfjjpsZL1+eRSB4+3LPEM1g36hcncuQqHumowYMHMi3G8annLhMEKkxndKFMzNDIxEyKjupNVA+BhVZv0lqM2S5mq/QIW6DJdhTtzckzaqbuxB9IRtmfjjBfdik1Na5uvp4bgAgCPv/6OPf0J/ieg2mKjkdEF7xweQYC2XbXD1TYZ2/EaOxMgwqnrgYSgeDxWjl309A5ub91h/z0cKxRPGnxPLBc0YZ2DZ8/9PiRbnwg2810jY188swQn/32TRw/QNdU/vcGujw0vOGtyAAAIABJREFUeGB/mkdqu9qLx7Oli7bN1TsZw/UerfcPJZnI2cyVqlimzi//0HHKVRVmJoRa8Om6IGrqjdSCoXR0ySJvtNbf9atvTtMbV04ZyzDw/YBs2eW5i1Mkowb9cZNb8yVcXxKNeDx0KM312TIFW/XuFYCmCSyhUjsWt2taXEBmuYIssPJCcXHxuv0pq6V1UsX1+MdLMwyO5+lPRBjORNE0bdWogcXsMtvaNXrsVnZTruhepRNBvCyE+EPgj1HPQB9BVVDabH4ceHft608DX2Mdhu3vXhvDMiBX2cSQFtTOn+o/p3OkL47j+lyu5aPVWS10YqOewGszRf73Zy4xW6zi+gGxiE4iZnLvYIKi4zNYSz5PRQ1G50pcmqr1R5KoPIy82nnIlh3mS1X8QFVPUwVcJL4fcPbqPOdu53H9gEzM4Np0AceT/OnXrxKLGKRjZsPIVJoerkcmco3Q16ihUfV8ohGDfNklbuo8/UK58TlcnMgxOlcmauoc7okxW6wymXdIRQ2O9MeXreIZhhoAd0+PsAmaXMzIRG5THjYXownBdKHCxEKFq7MlIhpUV/D8SFQ/y4lsBbvqc3IoyWipys25Ms1VAduhC9nIr41bOlKqHYpmJ8lavKIrzRtAS8Pnev+/xT0+Q7aVrrGRp4YzHMhYXJio4mxClc86AwmzbRESU4ez1+YRwKPHetccTthsD01D5/F7B5YsnpqvV9fbxfEcc0WHvx7LkbQMHj6SwTJ0Xh3N8vDhHuKWzshEgW9emefMcIp96SizxSpRU+X/jS1UkFJiGhpVN+DWfIX7BhNcnS0TM3Vs1+Ot6QKuJ0laOuO5Cr3zEXriJt8dzfLs+Uk+8t57OT6Y5JPPXma26JArV/m6G/BXL9/iPfcP8nOP37Pioq85leT0gRRzRYfpvA1SkolH0ISKQPJ81UZmvuSSr3h85L33Ns7b6Ty0y2xr1+ixmwnTDrqbThZ/HwF+B7W9LYAvA7+8wetK4MtCCAn8eynl08CQlHICQEo5IYTYt9aTnhrOcLgnyks3N99bFaDcSZapkYze2UFr3iHYrNCJdqIamcjxN6+M4QUQt3TKjqTiBhi6T9IySFgqnLR+zXq+nOupxelrt3LYnoehaRQdvxbConofuYGqxllfxparHhowW6iia4KoqVFwAkrVKumogeMFXJoqNip9gjIy12aK9MYMJvMOjhdwOGaiCcFkweH0cLrxOeQqHkIoLy2mTjKqHhzSMZPfePL+Zb1JYagBsDV6hC3S5GKeOT+F3q7h1QbIRHWipsHrt/LMFGyQAqFBRKjdhuVwAyg6Hj1x1ZIkkDCUVqXmbTcgkBIhJa6qYk0gVXipJwVvjOV46BC8eG2BVNRYsmhbLf+1+f1xU1uxaMMuCsfarXSNjRyZyOEGEDM0bC/YNEfMhYnC/8/em8fJcV33vd9T1essPQPMAIPBRgCkQBKAKFIiRcKSZUUbQTGR7BdZlJ+pMLZeFC+xE+fZCh2/2JIdx4otW3HkZz0zsS3aii1ZjhMpYgRqpShTkChRJEEQIBaC2AeDwQDTPT3Ta9V9f1R1T8/SM90z3dNdPef7+fSnu2/Xcqv6/u6tu5xzuH27zcEjo7OClH/ndKrssOj01Wn2+6EK6im/Sz1kzh0wnc4VODs+xbruKDcMxLmSyvPkyXE2J6Lcsa2/7KRiKOF1eI6OpNizuY+C43DqyhRnr01TdD3nbZv8TuHYpBdjcNdgN0dHUkznveDxfXGbqbxLPuN5LY5Helnf7dk0fuLrL7NrsItXrk5hWzCZcxA8u+Dvn7nOdMFdsBNc6syW2lOAZ88liYe9+L62JQyFbS5cz2FbFj0xi+5YmLftGiCZKZQ9LtYzO9NhbWtg9KgoraKWOH9TeNPZjeQNxphLvli+IiIv1bqjiHwQ+CDA9u3b5/2eynrLt4TFH/yWgyVCruCWwxYYY+iLz9zCixMZQpa3JLTk/nbXYBfp3Mq9GR48Msq1qTwDPZFZziUABntjXJzIMNAzk5eToymefuUaE5ki67vDvG57P0N96/nm8SuenYcx5B2wxJ3x+CZeLDMvmLwL4sVFy+RdxALjep7MBnu95SEjySzhkF3u9BYcbxTUMYZISLg2lWdLf5x0tjhrCUki5s0IVsaBwvfotlhDr0sNmqZHaKImK3nxUrKhMw4AmYJLJGS4NDFNKlNExPNwW6zBm4xrDHfvWsf/fmGUod4I16bypHNFzy28MRSNN6sh4tmminj2TSPJLJZ49czezYlyjE7wtPpLb989r1xW88z39CvXeOuts58bKvXSQcuxOpIgtZEHj4yyKRHllbF0Q2fgswWHWzYl5gUpT2UL9Ea9dintD5QuVX6XWia5EJXtxnv/5FDZUZh3vgjJTIGr6Rw3DHaX97maznJyNM2LIykwhlcN9XDTxm4OX5jAGEMyU8RxM4Rtwbag6Bpev2uAFy4lsUToidpeuKdsFhfPx8DVdI51XRESsRDjU3mePnOdzX0xxqfyhCwI2RaWBePT+QWdqgHz2lPx17SXnPSEbAtjDNN5B0uEDT3Rqve2GbaH7U6Q9KgorWKxOH9/ZIz5FyLyv1hgEZQx5l3LPakx5pL/fkVE/gfwemBURIb9EZRh4EqVfR8BHgG488475+UrlSsStrxOWiPxRv4N2YLLlcksQ4k4Owa6ZhlaR2zhu6ev0RMLeXGMCg7fe+U6d+9av6wGrZKLExnyRXeW2/eS45bSMUvLNk6Opvj7U+Pkig6RkOC48NTL17hta5HLqazXgcX7UysfAMSf2SgYQ9H1r9k1OH7v0ADTeYfz16dZ1xUmPVVk/42DZXuBnliIXMEbEXUctxzXr8cfSSwtIdm7uc9zx10RI+aG9V2z3AZXY60uNWimHv39m6bJSs5cnWp4TL+obZUdqRi8GTpniY6f4NkJdkdDREMhBMPIRJaCa7AtEBEcx+Aar3OZiNtsT3RhDFyZzJIruuQdl7t2rmND70znrPLha67mX7yU5Nbh+Z75DGbRgO0dtByrowhiG3l0xIulFw3bFN1iwzqAecfw9CvXSGULZAtFfnB2gvteHScRC5cHKUuOvBYrvwstgf7dg8fZ3Bcjt4A93UKMprJs7InMSuuN2owk3bLOrqazPHN2AoC+mDdT9+1T416b6Hrtn22VYtOC49tIXpvKUSi6OC5MTBeI2kUKzsyfn8k7ZAtZ1neHiYUsLmQLnHcMWcelO2wRsmecT1XrBM9tT2Nhm2jIYjJXZHNfnImMF24pHrHpiYQI2RZRf0B4JXVD0NvWIOpRUVrFQoaxJf6J//4x4PcXeC0LEekWkd7SZ+AdwBHgC8BD/mYPAZ9fzvETUc/dOzJTya4UwZtJELxln7FQiKHeKJZllW18StvNVbYBJqbyZSculcu9jo0ka87Dlv44kYrg6uAtO42G7HKDWHKZ/ez5Cc+NtR9cOha2CNsWz5ydwHFN+d7MvT8hyxu97PIbkpKRvjFeJ7Ec66zocn48g+MaDuwbYkt/nMlskZs2dHudvUjI63wbyBVcNvV67rxL9+rAviFs22LPcIK33rqRPcMJbHv2vVTm0RQ9QvM1WeLYSJLLyexKDjEPARxjcP3wDqE6RG8LDPnePtf7ngqlQhu2JYQtsG2LwZ4o8bCNbXmOk+5/9TDv2LOJWHj2+Fnp4avScVNJ8xeuZzh7dWre9nds6y9rtxQLraSXSl3P/U1pOYFrI0tL7ntjIezFWv86cY1LtuB5a+6Ph7kwkeGVsTS7NnhhTtLZIrsGu5Ysv5WmE6UYeufGpzlyKVVz2zmUiDGZmz36M5lz2LZu5vwnR9Pl316z1evwTGaLTOeKWH4dUmrzC45bjhz+zNkJwiEL2/IGmdKFmRZfgEzBoei4XEnlSGaKdIVt75nAeE6kMnmHfNGwyXdGs1BHbW57mi04ZAtemImt67vYsznB3TsH+JHdgxRdU/O9XQMETo+K0ioWW/b5MoAx5psNPucQ8D/8pQwh4K+MMQdF5HvA34jIB4BzwI8v5+Bb18V5aXSSYgPdWNsC/V0RuiI2RddQcF0uT+b4yLv2zBopyzneErLTY9OzXLw/dz7J3TsHVmS3c2DfEIcvTHBufBqMKbuV3znYXR4JLS3bSGWL9MVChO1QOZZRNCRcn/JmDtO5IuGQ4Bgo+nHQYiHBNd5sYti2iIWEXNGb+RD8h2oDPVEv8LxlCXs29c4yLO+Lh7l9Wx/HRiaJRWw29EQZ6ouxc0PPrNHaTlpisoo0S4/QZE2WOHhkFMtq1JCMhy3eQ1gkZCEiGMulWJgf26+yLojagFh0Ryzu2rGOB/ffwO9/ueB1TH3vh5bgB6G3cP1hkslskUjIYvtAF+/ffwNQ3aHCQva/Nw/1cPxymvU90XkxvUr3ZyE9qFbalsC1kaUl910RG6eBU/C90ZlYl/FIiG3r4lyezLE93MX+XevLA4l98fCi5Xeu18lTY17s17zjzltaXe0YD+3fzke/dNzPl81kzmEqV+Th+24ux/Mcncwx1Bsth3tZ1x3h8Rcvk3MMsbCNbXk3x3G9NrA74nXioiGLzX1xzo5PIQJ2xXltS7xZQ3GxLYtIyOK2rQMcvZQilTGk8w6ZgsPG3ig3buiualNXsr+rbE8nMkV++KYBHvTrHa8+KNZ1b9cAgdOjorSKxTp/G0TkX1f70RjzB8s5oTHmNPCaBdLHgbcu55iVXJvKE10kuHO9eB2/MOu7I4gIr93ez0BPlJFkdl4lW1p6eY9v1A7eki1BZi3XhPrtdm4d7uNDB27mLw+d5dnzE2W38pUew0rLNg6dHieVKRCyhJFkFnApOAYRb+lqyL8/Il6nMBa2+ZHdG3jq5XF6IjYF15CIx7FEuD6dI5lxWNcVJhELEQnbJGJhdm3oouTotLIzl84VefPNG5dcmhP0JSYtoCl69PdtqiZLvHgp6dmSrhCBstMYy3dIVBq4SGVdQhY4rteBExH6u0JkCy5F1wsEvW19F3ds6+f9FdrZu7mPs+NTpDJFHGOIhiy6IjZdkRB7NyfY4NvVzl12Vq1j9qd/f2aerd72gW6mCw598XDVkC8LoVppWwLXRu7d3Eeh6HBybKqhNn+DPRGmcgXGJnNkii7b+uP0xUN87MfnXcaizPU6mc4WCVmQiM0se16q7bz/ti0As8Kj/MJbbiynl7RUeZ4NvTG2rusCvEGf61M5pvMO03mHXguioRBTec+fANEQG3ujjKVzlEIJ90btWbb4kZDF3bvWsbE3zrruCKeuTDGazJDOO+ze1MuOwZ6qbWQt7anWBwsSOD0qSqtYrPNnAz00bvVk03ns8EWOXZ4kZNv0x4SJbA0eH6ogwLq4Td6FZLbIVN7hddv7y0Gh5y7XODaSZGwyO8s1czQUIpkpcMe2vkVtemqlFEx+KUojn93REEO9EUYn82SLLoO9EVLTBaIhG0s8b4ZFx9CXCGNZFu/YMzTLYygw4w1tODEvfWPvzHd9QG06gdPjXFLZ4oqm4rvCwvruKKOpnOeJ00/33LE7XkyusI0xhnTOc4aQiIfY3N9Fruhy81APOwZ7+KW375537PLMujtNT9Quz6wP9kRndRLnUq3cV3Odvme4b8HzK4EkcJrcPdTN3/3gAhFLiIe9MAbLbyU9QpY3Y5cteHFnE/GQZxs+nuHYSLKudmGu18mwLUxmi7x668KxX6tx/21byp29Ws4zmS0y2BPFNcaLjTtdoDdm0RMNccumXlLZIlcnc1yfLrK+J8KP3LyRFy4kOXUljQvEIzb49sGDPVH23zhAJOR1Bgd7Ygz2xMr1QS361/Z0WQROj4rSKhbr/I0YY35z1XLSAB49dI6BngipTJGQFcLKObh1PGwK0BuzKTiGkCUkuqKEbeHaVAHHNRwdmWSgJ1oOolqi0kj9h25cX44f9MM3DZSXdK2mG+W5I583buzhof3beerUOE+euErecYCSUbtFbyy8aD4f2r+drx4bW7X8KwsSOD3OpS8eolDnWrP1XSEssYiEhGzB4cpkDkvAtj1HRr1Rm3XxCFO2F54hHrbZ3B/HNS4nRqfKzhJ2DHTNs9GtpJaZ9XroMNfpysIETpMnRqd47fZ+vn/2OiFLIGxRcFyKy5iQL5kMbuiJMj6VLweNLziG8ak8d2zrW1aYo8rZ9L2bE4ymcoTthWO/LpcFTQ/u9TplB4+MMl1wPPOJeKg8SwfMiidYCiw/2BXGcT17P9sSbtnUy/v336D6X30Cp0dFaRWLdf4CN3pS8vLVEw1xbSqP5dsDgddQLda+hf3lnQXXUHRchvui9MbC/sOjzbWpPJPZIiOp+bZ+lfY9ffFwOX5QXzzcMrudhUY+/+dzl+iLhxiddIiEbG7oi7F3c4Kiy5L5LNlKqN1RywicHueyZ7iP77w8jltwan7Y9GbfQty+tY+TY2mm8xlEhJAFXSHxZvm7wty2rZ8PvHHHrDL6U2/o5sToVM0edmudWa8FtWtdEwROkxcnMmwf6ObklSm29MfJFBxeuTrlxX5l8Yn5Sv8wIhC2BcsSBnqifngUz4bcNYZNfTEyBXdZIUnmznrN9ZrbKB1Vm11b7NiVmrZt4Q03DnA9U+TqZNa7J5Zw9lpm3raq/1UhcHpUlFaxWOcvcGuZhxIxUn6nqysSIh62eXnM864XtsXzXDlnn3hIsC2LkC30xsP0xsIUXUOu4BINec1ddzSEbQlb18XZvr5rXgU+10gdlh9vp1kcG0lyfjwDArsGu8thGDJ5Z1a4isUaRG24Wkrg9DiXA/uG+PxzFxmbzOHmnSVDPkRsYcdAN1vWxSkYz15vfXcEx/XsVr1YlYZrUwX23xhfsIze37zLWRLVTMcTOE2WliOXwgh0RUJs6Y9z5uoURWfGE3RlKE4L8FYwCrZAJGQz0BPh2lSBLf0xHGPojYVx/DApecewritS1uVKaScdVebl4185QTJTYLDXIZUp0BsLgzEgwiNPvsIH37RTl3ivLoHTo6K0iqrOno0x11YzI43gof3bmcp5yytc1yVkW/TGQnRHbSw/gHl3xCZsecvFtvTF6IqG2bIuzg3ru+iNhdm1oYefe/MuQpaQyhYxxpAtOOSKLsN9sUVdM1fSbrG4Dh4ZZfeQ18nzQkR4f/3x0fRadg0dGIKox7ncOtzHr9y7mw29EWJha8FhWsEbqOmN2Owe6uW+Vw9zw0A3yUyRaMimNxai6Hq2qkXXC0MSskTLsLLqBFGTpdAhm3qj5ApuOT7mvi0JYhGbiC2EQxYJP1btDevj7Bjsoi8eIWxbdEfDbFsf5027N7KpL8aNG3pIxMJlXeaLhohtkcoWO16XpXt55GLKcwSD5/F77+ZEOYC7snoEUY/VHsAbGIVFURZksZm/wDHX1q0nGuKNNw2Qd0x5/f6e4T6OjiS5ZVMCS4Sr6SynrkyRzOSxxOKDb9pZHtn7xNdfZnwqz0B3ZFGboSDY97x4KUkqUyBfdEhlC0Rtiw29URIVS1ObyUqD3CvB59hIkhOjU7xqqJeNiThiDNN5h5fH0hRdF4MXWN0Ls2AxnfcGVHpjIRKxECYa4pWrU3RHLK5O5ckXDV0Rmx977bCWJUWpgcrlyJV2bXuG+3jH3iG+9tLVsodMS+CuHevL4YKuprOcHE0zOpmjLx7mF95yI189NsamRJSJ6TyJeIhUZiZO3i+89caO1GVlW9YVtkhm8sTDIXrjM56BXWOWteS1WWj7256s74lwNZ1fMF1RmklHdf5gxtat0glLtlBkbDLH8WSWjT1RNvZEy94353riKlWI99+2ZZ6dWy2umdtxff+xkSQXrnsN0WBPtLzkc1PCi8G3Gucv/ReVgXorO9pK53JsJMmnD53lW74n3FuHe9nS31WOcXfwyChnrqY5Pprm+lQeg8F1vYDUY5NZIiGbvZv7OLBviE987SRPvTxOxLbZORDjpo09vHR5qm6vgoqyVlloGWWpjt4znODuneuZzBZ54vgoXz5yGcsWErEwN23sZs/mPvZXeKwstZHTBYdkpsiNG0JlrXaiHue2ZZPZIrFwiFdt7JnVlrbTyh9tf9uXeGjhOb5q6YrSKDqu81ei5IQlX3R47nySaMiiPx7iyKUU67sj3mjm+q5FZ+rqsTVoJ7uEuRw8MuoFmB5Nl5d85oouJ0bT/Ow/uHFVzj834HUpvV3vmdIYSg8ep8fS9Me96ua580leu72/vDTqwL4hfumzlwHY0BvhwnUv2PqG7jAvXkqxa0NPeTDlVUMJNibi88KOaFlSlOUzt47OFx2KRcNEJscN6+Jk8kUOvXyNnYPdZa+Y0N7tXjNYqC27eaiH45fTrO+JtuXKH21/25eJ6UL5c6XDpcp0RWkGHTu8cHEiQ28sxKmxKaIhi1jYC8Kad1xuGOhmKBGlLx5mJJmlLx7u6FGwkoe3193QTyxsM5krkoiF2DYQX5VrLv0XldQb5F4JJuVBGMctazAasjg1NlUuA7cO97F1XZxELIRrhG3r42ztj2PbFgXHzNKmliVFaTxzdXVqbIqBngj98RDRSIii6+lsKBHt2HayFhaqf7YPdLNtIN62zxNaZ7YvWcclJJSXSlsCIfHSFaWZdOzMX8mrWTpbpCfqBVvNFd2ycfpIsrhmPHGV7kVpiSswLwD1apx/pUHuleBR8oSbiIXJFpxy5y+dLc4qA3s3980rI3OXYoOWJUVpBnN1lc4WCVkwlIhzz64BAFxjGElmW5nNllOt/tkz3Ne2zxNaZ7YvIUtwBeL2zDxM3nHLdraK0iw6duav5IkrbAu5glP22HnTxu41V/GV7kUyU8A1pvx5tTyxtfr8SusoecK9aaMXXiRbcMgVHMK2zCoDtZYRLUuK0njm6ipsC+mcw00bu8vbrLV2cyGCWP8EMc9rhddt6/e85Dourv9edA2v29bf6qwpHU7Hdv5KTlj2bk5wPeN5Dbxjex9h215zFV/pXrRqWUqrz6+0jplBGJs7tnv/9/VMkb2bE7PKQK1lRMuSojSeubrauznBzsFuwratHYYKglj/BDHPa4Vf+0d7uGWol5Al5F1DyBJuGerl1/7RnlZnTelwxJi5Yc+Dg4iMAWf9r4PA1QW3C0fjVqy3X+xQ1DjFnJudnDCFXBAWvFe9pgATtGu6wRizodWZCApzNOlhhTbb3f2mRfprdXlby+dvxrlVj3WwoB5r/F+a3G6uZV20w/kblQfVYx0spMeSzkwx3yehSDJAz6cl2qEsL4dOzHfNegx0568SEfm+MebOVuejkeg1KZ1AK//zVpe3tXz+Vl+7sjDt8L+0Og9r/fztkgdlhqD+H5rv1aVR+e7YZZ+KoiiKoiiKoijKDNr5UxRFURRFURRFWQN0UufvkVZnoAnoNSmdQCv/81aXt7V8/lZfu7Iw7fC/tDoPa/380B55UGYI6v+h+V5dGpLvjrH5UxRFURRFURRFUarTSTN/iqIoiqIoiqIoShW086coiqIoiqIoirIGCHznT0QOiMhxETklIg+3Oj9LISJnROQFEXlORL7vp60Xka+IyEn/fV3F9r/qX9txEbm3Iv11/nFOich/FhFZxWv4MxG5IiJHKtIadg0iEhWRz/rp3xWRHat1bUrjaJY2m13+ljj3NhH5hogcE5EXReRfrvL5YyLytIg875//I6t5fn8/W0SeFZEvrva5lZXRRE1W08WHReSieO3dcyLyzop9Gl0uW9q2isjNFdf5nIikRORfNfMeiLbFgadZmmw2C5W9IFCtrmp3pErbv2yMMYF9ATbwMrALiADPA3tana8l8nwGGJyT9rvAw/7nh4H/6H/e419TFNjpX6vt//Y0sB8Q4EvAfat4DW8CXgscacY1AD8H/H/+5/cBn231/6avustI07TZ7PK3xLmHgdf6n3uBE/45Vuv8AvT4n8PAd4F7VrMOAf418FfAF1fz3uurrTVZTRcfBn55ge2bUS7P0CZtq3+vLwM3NPMeoG1xoF/N1OQq5H1e2QvCq1pd1ep81ZDvBdv+5R4v6DN/rwdOGWNOG2PywGeAd7c4T8vh3cCj/udHgR+tSP+MMSZnjHkFOAW8XkSGgYQx5pDxSsJfVOzTdIwxTwLX5iQ38hoqj/W3wFt1ZiBwNE2bq1D+Fjv3iDHmB/7nSeAYsGUVz2+MMWn/a9h/mdU6v4hsBe4H/mtFcqDqrzVMMzVZTRfVWK2y0aqy+VbgZWPM2SXytqI8aFsceAL7DFul7LU9y6ir2oJF2v5lEfTO3xbgfMX3C7T/n2iAL4vIMyLyQT9tyBgzAl7BBDb66dWub4v/eW56K2nkNZT3McYUgSQw0LScK81gtbW56hryl0DdgTcCt2rnF2/Z5XPAFeArxpjVPP9/Aj4EuBVpnVB/rQVWRZNzdAHwL0TksL9MrLQEsRllo53a1vcBf13xfbXuAWhbHCSC+AzbMSxQV7U1Vdr+ZRH0zt9CI1DtHrviDcaY1wL3AT8vIm9aZNtq1xek617ONQTp+pSFaZf/sCkaEpEe4L8D/8oYk1rN8xtjHGPM7cBWvJH7fatxfhH5h8AVY8wzteSzkedWGkLT7/sCuvgkcCNwOzAC/P4SeVlJHtuibRWRCPAu4HN+0mreg0WztozzqVabi97fFlFHG9421Nn2L0rQO38XgG0V37cCl1qUl5owxlzy368A/wNv2n/UX3qB/37F37za9V3wP89NbyWNvIbyPiISAvoI4PKCNc5qa3PVNCQiYbxG478ZY/5utc9fwhgzATwBHFil878BeJeInMFbnvQWEfn0Kp1bWTlN1eRCujDGjPoPLC7wX/Dau8Xysuyy0UZt633AD4wxo35+Vu0e+GhbHBwC9wzbCVRpwwPDnLZ/WQS98/c94FUistMfbXsf8IUW56kqItItIr2lz8A7gCN4eX7I3+wh4PP+5y8A7/M9bu0EXgU87S/lmBSRe/z19/+kYp9W0chrqDzWe4Cv+7YISnDpYCZ6AAAgAElEQVRYbW2uiob8bf8UOGaM+YMWnH+DiPT7n+PA24CXVuP8xphfNcZsNcbswPs/v26MeXC1rl1ZMU3TZDVdlDohPj+G195B43XRTm3rT1Cx5HO17kEF2hYHh0A9w3YCi7Thbc0ibf/yMG3gxWYlL+CdeN56XgZ+rdX5WSKvu/C8OT0PvFjKL94a+q8BJ/339RX7/Jp/bcep8PgF3InXiLwM/BEgq3gdf423fKWAN3L1gUZeAxDDWzJzCs8L2a5W/3f6WlY5aYo2m13+ljj3G/GW5RwGnvNf71zF898GPOuf/wjw6376qtYhwJuZ8fYZqPprLb+aqMlquvhL4AU//QvAcDPKBm3StgJdwDjQV5HWtHuAtsWBfzVLk6uQ73llr9V5qjHfC9ZVrc5XDflesO1f7qskcEVRFEVRFEVRFKWDCfqyT0VRFEVRFEVRFKUGtPOnKIqiKIqiKIqyBtDOn6IoiqIoiqIoyhpAO3+KoiiKoiiKoihrAO38KYqiKIqiKIqirAG086coiqIoiqIoSsMRkX4R+blW50OZQTt/awQR2Swif+t/vl1E3rnM47xZRL7Y2NwpSjARkX875/u3l3mcD4vIL9e47Q4RObL0lorSWbRL2W+XfChKQOgH5nX+RMRuQV4UtPO3ZjDGXDLGvMf/ejteYFFFUZaBeFjArM6fMeaHWpQlRCTUqnMriqIoShU+CtwoIs+JyPdE5Bsi8lfACwAi8j9F5BkReVFEPljaSUTSIvIf/d++KiKvF5EnROS0iLzL32aviDztH/uwiLyqNZcYLLTzt8qISLeIPCYiz4vIERF5QETOiMig//udIvKE//nDIvKoiHzZ3+b/EJHfFZEXROSgiIT97c6IyH8QkUMi8n0Rea2IPC4iL4vIz/jb7PDPFwF+E3jAF8sDi+Tzz3yhPisi7651GxH5rojsrdjuCRF5XYNvpaKsGL9h+bmK7x8Wkf9bRH7FL9eHReQj/m87ROSYiPwx8APgT4G4r6P/5m+TrjjWh3ytPi8iH/XT/pl/3OdF5L+LSFeN+Xydv88h4Ocr0v+piHxORP4X8GURWe83pIdF5DsiclvFdf2liHxdRE6KyD9b8c1TlNYQ8tvFwyLytyLSJSK/7uvqiIg8IiICICK/KCJH/W0/46ct2baVEBFbRH6voi7457VuIyKflYoVNiLyKRH5x42/HYrS9jwMvGyMuR34FeD1wK8ZY/b4v/+0MeZ1wJ3AL4rIgJ/eDTzh/zYJ/Hvg7cCP4T3HAvwM8If+se8ELqzGBQUd7fytPgeAS8aY1xhj9gEHl9j+RuB+4N3Ap4FvGGNeDWT89BLnjTH7gW8BnwLeA9zDjEAAMMbkgV8HPmuMud0Y89kq5/014OvGmLuAfwD8noh017jNZ4D3AojIMLDZGPPMEtepKK3gM0DlAMh7gTHgVXgN1O3A60TkTf7vNwN/YYy5wxjzU0DG19FPVh5URO4DfhS42xjzGuB3/Z/+zhhzl592DPhAjfn8c+AXfY3PZT/wkDHmLcBHgGeNMbfhzUr+RcV2t+HVGfuBXxeRzTWeW1HaiZuBR/wynsJbTvZHvq72AXHgH/rbPgzc4W/7M35aLW1biQ8ASX/bu4B/JiI7a9ymXLf4g65vBf73Cq9dUTqBp40xr1R8/0UReR74DrANr/0FyDPzjPwC8E1jTMH/vMNPPwT8WxH5N8ANxphMszPfCWjnb/V5AXibP+Pww8aY5BLbf6misNvMFsKOiu2+UJH+XWPMpDFmDMiKSP8y8vkO4GEReQ54AogB22vc5m+AH/e3eS/wuWWcX1GajjHmWWCjeDaxrwGu43WS3gE8izfDdwszjdFZY8x3ajj024A/N8ZM++e55qfvE5FvicgLwE8Ce6sdoISI9AH9xphv+kl/OWeTr1Qc/42l340xXwcG/P0BPm+MyRhjrgLfwOvcKkrQOG+Mecr//Gm8Mv8P/BUnLwBvYUZXh4H/JiIPAkU/rZa2jYpt/4m/7XeBAWbqgqW2+RLwFhGJAvcBT+qDqaIAMFX6ICJvxmsv9/uDos/iaRKgYIwx/mcXyAEYY1wg5H/+K+BdeBMij4vIW1bjAoKO2oisMsaYE/4SyHcCvyMiX8ZrlEod8dicXcqFXUTmCiE0dzsqBFJlu1oR4B8bY47PShQZWmobf7txf8nZA8C8pTKK0kb8Ld5M+Sa80fodwO8YY/6kciMR2UFFo7UEApgF0j8F/Kgx5nkR+afAm1dwrBKVeZIFfjdz3uemK0qQWKgc/zFwpzHmvIh8mJl29H7gTXgPh//ON0eo2m4tgAC/YIx5fFaiVxcsuo2/3RPAvXjt4F/XcD5F6UQmgd4qv/UB140x0yJyC96KtZoRkV3AaWPMf/Y/3wZ8fUW5XQPozN8q4y+1mjbGfBr4GPBa4AxQsolbDZuAxYRY4nHgFypsJ+6oc5vPAB8C+owxL6w8y4rSND4DvA+vA/i3eOX6p0WkB0BEtojIxir7FsS3vZ3Dl/1jdPnHWO+n9wIj/j4/ucB+8zDGTABJEXmjn7TYfk+WfvdHVK8aY1L+b+8WkZhvT/Fm4Hu1nF9R2oztIlJa/vwTwN/7n6/6mn0PgHgOmbYZY76B1xb1Az3U1raVeBz4WZmxr9+9wBLRxbb5DPBTwA/72ynKmsMYMw48JZ6H3N+b8/NBPDvew8Bv4S39rIcHgCP+zPstzDZ1UKqgM3+rz6vxbAxcoAD8LJ6Nwp+K5zb+u6uQh28ws+zld6rY/f0W8J+Aw34jeYYZO4patvlb4A/9bRSlbTHGvCgivcBFY8wIXufsVuCQ/3yYBh4EnAV2fwSv/P+g0u7PGHNQRG4Hvi8ieTxbn38L/Ds8jZ/FW6K91CBMiZ8C/kxEpln8IfLDwJ/7Dek08FDFb08Dj+EtcfstY8ylGs+tKO3EMeAhEfkT4CTwSWAdnp7OMDOoYQOf9pc9C/BxY8yEiNTStpX4r3grAX7gbzuGZ8tb6zZfxnsY/YJvb68oaxJjzP9ZJT2Htyx6od96Kj5/eKHfjDG/A/xOwzK6RpCZVYSKoihKJ+IvhUsbYz7W6rwoiqIoitI6dNmnoiiKoiiKoijKGkBn/tY4IvJTwL+ck/yUMebnF9peUZTmISL/L/CGOcl/aIz581bkR1HWAiJyL/Af5yS/Yoz5sVbkR1EUpZlo509RFEVRFEVRFGUNoMs+FUVRFEVRFEVR1gDa+VMURVEURVEURVkDaOdPURRFURRFURRlDaCdP0VRFEVRFEVRlDWAdv4URVEURVEURVHWANr5UxRFURRFURRFWQNo509RFEVRFEVRFGUNoJ0/RVEURVEURVGUNYB2/hRFURRFURRFUdYA2vlTFEVRFEVRFEVZA2jnT1EURVEURVEUZQ2gnT9FURRFURRFUZQ1QKjVGVgJg4ODZseOHa3ORtuTLTgkMwUKjiFsC33xMLGw3epsBYJnnnnmqjFmQ6vzERRUk8pyqaWeUj3Wh+qxNrSNXB6qx/pYC3pULbWOevQY6M7fjh07+P73v9/qbLQ1x0aSPPLkK/TFw/TGQkxmiyQzBT74pp3cOtzX6uy1PSJyttV5CBKqSWU51FpPqR7rQ/W4NNpGLh/VY310uh5VS62lHj3qss8O5+CRUfriYfriYSyR8ueDR0ZbnTVFURRA6ymldWjZU5TGoFoKDtr563AuTmTojc2e4O2Nhbg4kWlRjhRFUWaj9ZTSKrTsKUpjUC0Fh0Av+1yIYyNJDh4Z5eJEhi39cQ7sG1rT081b+uMkMwX64uFy2mS2yJb+eAtzpShKJ9Co+lbrqdVD28jZaNlTlMbQblrSuq46HTXzV1pvnMwUGO6LkcwUeOTJVzg2kmx11lrGgX1DJDMFkpkCrjHlzwf2DbU6a4qiBJhG1rdaT60O2kbOR8ueojSGdtKS1nWL01GdP11vPJ9bh/v44Jt20hcPM5LM0hcPq/GtoigrppH1rdZTq4O2kfPRsqcojaGdtKR13eJ01LLPixMZhvtis9J0vbEnSG3IFEVpJI2ub7Weaj7aRi6Mlj1FaQztoiWt6xano2b+tvTHmcwWZ6Xp2n1FUZTGo/Vt8ND/TFGUtYDWdYvTUTN/B/YN8ciTrwDMijHywF1bW5wzpR157PBFHj10jtFUlqFEjIf2b+f+27a0OltKkwmyEXg75V3r2+BxYN8QH3v8BM+mc+SKDtGQzWBPlAfu3V3XcdqpHCqK0lk0on5pVPvUqXVdR838tdN6Y6W9eezwRT76peOkMgU29kRIZQp89EvHeezwxVZnTWkiQTYCb7e8a30bTFxjABBk1vdaabdyqChK59Co+qUR7VMn13VLzvyJyG7gk8CQMWafiNwGvMsY8++bnrtl0C7rjZX25tFD5+iOhsouifviVjm9nWf/gqbHdqPSCBwovx88Mtr29UY75l3r22Bp8uCRUW4Y6Oa2rf3ltGSmUFcZasdyqCglgqRHZT6NrF9W2j51cl1Xy8zffwF+FSgAGGMOA+9baicR+TMRuSIiRyrSPiwiF0XkOf/1zorfflVETonIcRG5t/5LUZTaGU1l6Y3as9J6ozajqWyLclQzy9IjqCYh2EFog5z3DicwbWQjypCWQ6XNCYwelfm0U/3STnlpNLV0/rqMMU/PSSsuuOVsPgUcWCD948aY2/3X/wYQkT144tzr7/PHImIvsK+iNIShRIzJnDMrbTLnMJSIVdmjbViuHkE1GWgj8CDnvcMJTBvZiDKk5VBpcwKjR2U+7VS/tFNeGk0tnb+rInIjYABE5D3AyFI7GWOeBK7VmI93A58xxuSMMa8Ap4DX17ivotTNQ/u3M5XzDIBd1yWZKTCVK/LQ/u2tztpSLEuPoJqE9gpCWy9BznuHE5g2shFlSMuh0uYERo/KfNqpfmmnvDSaWjp/Pw/8CXCLiFwE/hXwsys4578QkcP+FPs6P20LcL5imwt+mqI0hftv28LD991MIh7mSjpPIh7m4ftubmt7P59G6xHWkCaD7KQkyHnvcALTRjaiDGk5VNqcwOhRmU871S/tlJdGs6TDF2PMaeBtItINWMaYyRWc75PAb+GNyPwW8PvAT4PvdmzOqRc6gIh8EPggwPbtbT9Lo7Qx99+2JQidvVk0WI+wBjUZZCclQc57pxK0NrIRZUjLodKuBE2PynzaqX5pp7w0klq8ff4H4HeNMRP+93XA/22M+X/qPZkxZrTiuP8F+KL/9QKwrWLTrcClKsd4BHgE4M4775wntk6NyaEo0Fg9wupospPR+kYJWhvZCLTcK+3KWtRjo1Bdrx1qWfZ5X0lEAMaY68A7F9m+KiIyXPH1x4CSV6UvAO8TkaiI7AReBcw12F2STo7JoSg+DdMjNF+TnYzWN4pPYNrIRqDlXmlz1pQeG4Xqem2x5MwfYItI1BiTAxCROBBdaicR+WvgzcCgiFwAfgN4s4jcjjc9fgb45wDGmBdF5G+Ao3hemX7eGOMsdNzF6OSYHErjCego17L06G+76pqEwN7nJdH6RvEJTBvZCBpV7ju1XlBazprSY6M4eGQUx3E5OpIinS3SEwuxqTeq7VmHUkvn79PA10Tkz/EE8NPAo0vtZIz5iQWS/3SR7X8b+O0a8lOVixMZhvtmu+rvlJgcSmMpjXL1xcOzRrkCYMy7LD1CazQZ4Pu8JFrfKD6BaSMbQSPKfSfXC0rLWVN6bBQvXkpy4VqGaNiiJ2qTKzicGE0zXQh0n1apQi0OX35XRF4A3opn5PpbxpjHm56zZbClP04yUyiPRELnxORQGktQZ22CpEcI7n2uBa1vFAieJldKI8p9J9cLSmtZa3psFKlsEQRiYS9cYSxskyu6XrrScdQy84cx5kvAl5qclxVzYN8Qjzz5CuCNRE5mvThuD9y1tcU5U9qNIM/aBEWPEOz7vBRa3yglgqTJldKIct/J9YLSetaSHhtFXzxEcjpPtuAQDVnkii7GGPriNXUTlIBR9V8Vkb83xrxRRCaZ7cJWAGOMSTQ9d3Vy63Aft2zq5tFD58ojkw/t364jico8gjZrE0Q9QvDucyVL2STdOtzH227dwKOHzjGayjKUiGl9s4YIqiZXamtXin1VeYwH7tpa1zEaWS+o7aACa1ePjTrGnuE+usI2l1M5UtkCiViYHQNd7Bjsqes4SjCo6u3TGPNG/73XGJOoePW2q4geO3yRT3/nPIlYmD2beknEwnz6O+d57PDFVmdNaTMO7BsimSmQzBRwjSl/PrBvqNVZW5Ag6hGCd59L1OL57NhIkq8eG2PPcIJ3vWYze4YTfPXYmHpHWyMEUZON8uh363Afv/T23Xzsx1/DL719d90Pmo2qF9RDoVJireqxURo4sG8Iy7K4dTjB224d4tbhBJZltX1brSyPRUM9iIglIkcW26adePTQObqjIfriYSzLoi8epjsa4tFD51qdNaXNKI1e98XDjCSz9MXDbe9sIGh6hGDeZ5htk2SJlD8fPDJa1zZKZxM0TbZLmW1UvdAu16O0B2tRj43SQFDbamV5LLqY1xjjisjzIrLdGNP2PajRVBbLGI5enybvGCK2MNgdYXSNeyvSZTELc+twX6DuQ9D0WKLd7nMterg4kWEyk+fLR1NM5Ry6ozav3pwgnYvM2kbtltY2QdNkp5XZRl1Puyy9U1bGWtTjxYkMIYtZIRp2DXaRzrXGUYvqIBjUEuR9GHhRRL4mIl8ovZqdseVgC5y7nmE671AoukznHc5dz2BLq3PWOnRZTMcRGD22gmMjST7+lRP88uee5+NfOTGvnNeqh6lsgadeHidfcOkKW+QLLk+9PM5UtlDeZkt/nMk5ntCCYs+oNJTAaHJLf5xz41N85/Q4Xz56me+cHufc+NSql9lGtUuN0GA7Lb1TGkKg9LjS8huxhb8/Oc6Zq2lGUxnOXE3z9yfHidT54Ks6WFvU4sbnI03PRYMoOC6O8TqBtgWuAcd46WuVg0dGcV2XYyOpshHvpoQG7gwwgdFjo1lqRLGW2GG1upi/cD2DINiWICLYFgjCheszI7Lq7VPxCYwmdw9185nvncNxDMYYxlI5zoxP8Y69q2vX06hQD43QYCPyoqEr2orA6LER5XdiOs/EdJ5o2Pa9dBomcl5aPTRKB/q8GQyWnPkzxnwTOA70AQnguJ/WdqSyDr1RC9sSXAO2JfRGLVLZtbvs8+hIkpcuT5ItOPRGQ2QLDi9dnuSojsQEkiDpsZHUMqJYi+3DxYkMvbHZY14LLbNJ5YpsXx8jZAt5xyVkC9vXx0hVLKVRGwkFgqXJp06NExZ/UMPy3sMiPHVqfFXzUasOl6IRGmxEXhp1PcrKCZIeG1F+z4xn2NwfIxa2yDuGWNhic3+MM+P1lb1GlGF93gwOS878icj/Bfw68HU8l7mfEJHfNMb8WbMzVy9hWygYi2jIUHQNIUuwRAiv4XWfyUwREZkXuDOZ0cCdQSRIeqyHpWb1ahmVrMV+olYX80OJGKlMga3rusppyUyBocTs47ebPaOy+gRJk8+en2CgJ0IsMtP0Z/NFnj0/sar5aKcQMI3ISztdz1onSHqElbchBkM8bLOuO1pOy+aL5F2zyF7zaUQZbtTzptoNNp9abP5+BbjDGPNPjTEPAa8D/k1zs7U8btnYQzpfJO+4WEDecUnni9yyce3GKUnEQmAgW3AwxpAtOGD8dCWIBEaPtVLLrF4to5K12E/U6mL+of3bmcp5S3Bc1yWZKTCVK/LQ/u2NvHSlMwiMJgVh7iOh8dNXk3YK9dCIvAQ1pE2HEhg9NoI7tvWTzjmznvHSOYc7tvXXdZxGlOFGPG+q3eDqUEvn7wIwWfF9EjjfnOysjO2D3SSiIVzXkCm6uK4hEQ2xfbC71VlrGXs397F7qIdo2Cadc4iGbXYP9bB3s46iBJTA6LFWalmu2aiOXSkw+9GRFF94/hJHR1K87dYN80YV779tCw/fdzOJeJgr6TyJeJiH77uZ+2/b0qS7oASYwGjyjm19VR4UV7c9aKdQD43IS631irIqBEaPjeD9+29g+4C3QqXURm4f6OL9+2+o6ziN0MHezX1sSkS4ms5xfHSSq+kcmxKRup43NXzL6lBLd/wi8F0R+TzeIOG7gadF5F8DGGP+oIn5q4uxdI5EPEwkZOMYgy1CLGwxls61OmstwzMonmbPcGKWQbGOSAaWwOixVmpZrlmLYXyp8apcLvLAXVvnOYUpBWa/e+d6JrNFvnpsjF0behbsAGpnT6mBwGjywf03cDmV42o6RypbIBqy2TnYzYN1Pig2gkYsmW5UqIeV5qWeekVpOoHRYyO4dbiPDx24uSHLJFeqg91D3fzdDy7QGwuzuS/GZM7h5avT/Phd22o+RqeFo2lXaun8vey/Snzef+9dbCcR+TPgHwJXjDH7/LT1wGeBHcAZ4L3GmOv+b78KfABwgF80xjxe81X4JDNF4pEQm/rCFWmFNW3fVssDsRIolqVHaI0ma6EWW4Nay/FSjZd65VOaQGDayFuH+/jle3d3jD1Nu9jaab3SVgRGj42iXWzPT4xOcce2fi5P5khniyTiYXZv7OHE6BT313iMdtF0p7Nk588Ys1y3uZ8C/gj4i4q0h4GvGWM+KiIP+9//jYjsAd4H7AU2A18Vkd3GmLrcdCZiIY5enOCl/Exoh56IxT03Di7zEjqDdqkY2o0gGhWvQI/QAk3WwoF9Q/zG51/kzPgU2YJDLGyzY6Cbj7x776ztTo+lOXR6nNFUlnOJGLuHuuv+v9otIG6JIJZFxSNIbWSjeOzwRR49dI7RVJahRIyH9m+ve5a8EWW+1rqj2ehsRfsQND02QgeN0GMj8nJxIkNX1J616LYratelgwP7hvjY4yd4Np0jV3SIhmwGe6I8cO/uei5FWYJabP6WhTHmSeDanOR3A4/6nx8FfrQi/TPGmJwx5hXgFPD6es957mqadH52TL903uXc1XS9h+oolgp8vRZZi0bFrdBkLZweS3NqdJLJbJFc0TCZLXJqdJLTYzO6fezwRX7zi8c4fSVNOlPg9JU0v/nFYzx2+OKsYy1V1iO28L1XrpMrOPREbXIFh++9cr3ugLiNZC2WRaU1ejw2kuRjj5/gieNXOHJxgieOX+Fjj9fXJtSqxaXy0YgyX0vdsRo0Ili30lpapceV6uCxwxf56JeOk8oU2NgTIZUp8NEvHa9Lj6W8rLRuaFTA+WQmz+VklpFklsvJLMlMfTELlaVpWuevCkPGmBEA/32jn76F2Qa5F/y0eYjIB0Xk+yLy/bGxsVm/nRibXvCk1dLXAvpguTBqVFymqZqshT9+4jRF3yPYQHeYRCxE0XjpJT75xGlSmTwTmTzXMwUmMnlSmTyfrNimlrIuUMXbYevQsqhU0FQ9fvrQWY5fTnE5mWVsMsflZJbjl1N8+tDZmjP4ySdOk84WmS4UmS44TBeKpLPFWVpcikaV+VrqjtVAvX12LE3VYyN08Oihc3RHQ94xLIu+eJjuaIhHD52r4zK9uuGFixOcvDLJ6bEpTl6Z5IWLE3XVDaWA844L0ZCF486k1cpfHjrL9akCm/pi3DzUy6a+GNenCvxlHflQlqaWOH9vMMY8tVTaClno2WvBICXGmEeARwDuvPPO+gKZrEEOHhnFcdxZy9w29UbXvC1CUJfprJIeoYGaXGopyYXr0xjX5fqUU3bUFA0JF67PDNqcHpsiU5g5tGug6BpOj02V02qxu8k5hrt3reP02DSpbIFELMyezb3knNZVJUEti4pHkNrIQ6fHuTqZxTHgGsESgy1eeq2cGZ8iV3AQAeMHjzDGS6+VixMZJjN5vnw0xVTOoTtq8+rNCdK5SM3HAK/uiIUtQrY3jh2yhZifvpqobX37ECQ9NkIHo6ksG3tmb98btRlNZWs+BsA3T4xxZXKmk5Z3DNP5PN88UfuAbing/FTeIVd0iYUtBrrDdQWcf/b8BD1Re1asQIxZ9ViknU4tDl8+Aby2hrRaGBWRYWPMiIgMA1f89AtApTugrcClZRxfmcOLl5IcvZRkIlOg6LiEbIsL8TDThZaYirQNW/rjnLma5nIqV+4EbEpE2THY9jEhG6lHaLImj40k59nkHHr5Kh95997yg5HjmFnLtR1jyOcNPZGZ9rVaea1MryfI+z27BsppyUyBjb1hWoUauAeewLSRo6ks2bJkDI6Bgp9eKwXHpWjwH3XNrPRamcoW+MZLYxRcgwFSmQJXUzneeuvGJfetJGxbZPMOGRyKriFkeRELI/6DY600wu5KbevbhsDocSpb4Fsnr2L8AZR8sci3Tl7lR3ZvqPkYQ4kY58fTpHMOeccQsYWeqM22gfqeZUYmFq4DqqUvhMFwbSrPtekCrgFLYH1XmA2J2NI7+7RLLNJOp2rnT0T2Az8EbCi5yPVJAPXVrDN8AXgI+Kj//vmK9L8SkT/AM559FfD0Ms+hVHDm6hRXUjnCIcsLgeEarqRydEVqH6XtRHYPdfOZ753DcQzGGMZSOc6MT/GOve25TKdJeoQma/ITXzvJCxcnKA2UFpwiL1yc4BNfO8kfP3gnALniwh27aunV2NIf55WxdNnTWGmWe+eGmUawlpARq0075klZmiC2kbniwh20aukLU22WvPbZ8x+cu07endneAHnX8INz1+vIB9yyqYdvn7qG+M+FecAY+KE64haWlov3xcOzlosvJ+6g0jqCqMeTV9Lkiy7hkEXIFhzXkC+6nLxSu83qvs09PHPmGrYlhC3IFQ3TeYf7Xl1f569aa1tPK+y4DlenCoDX4rsGrk4VWN9T++DqHdv6OHT6GiJCNGSRK7qkcw77d62vIycejRjU6VRnbIvZ/EWAHrwOYm/FKwW8Z6kDi8hfA4eAm0Xkgoh8AE9AbxeRk8Db/e8YY14E/gY4ChwEfr5VXsw6javpPAbIFTwB5Qouxk9fyzx1apywCLYliOW9h0V46lTty59WmRXpEVqjyV0wX2UAACAASURBVG+/fI180ZAruGQKLrmCS75o+PbLM3b1hSrPndXSq7F7qJunz1zj9JU0l5PTnL6S5ukz19g91F3eplHBpRtJO+ZJqYnAtZFulf5ZtfQqOa8zfT5jVdqfaunVSETD3kOzofwK2UIiWvvDptrcdgyB0+NYOk88YuG4hkzewXEN8YhVlw6OXEoTtoW8Y5gqGPKOIWwLRy6tvqPD8/7yzlLHwpqTXgsP7r+BwZ4II8kML11OMZLMMNgTqTsWaSP8XXSyz4yqM3/GmG8C3xSRTxljzopItzGm5ukiY8xPVPnprVW2/23gt2s9vlIb2UKRSnMmF8B46WuZZ89PMNATIRaZkUA2X2zbdeUr1aN/jFXX5GS2sGD5m8wWVnLYBfn2qXFcY8gUHIquS8gydFs23z41PsvtdTsuz2rHPCmLE8g2cuWTdg3o+jWqEwovjU4StoSwLWUbRoyXXitqc9sZBFGPgiFXdAnbNpGQN2udKzp0RWr3xXjkYpJscbZwskXDkYur30EpuBC2vEGYkie1sNQ/kAveMk8RWfZyz0bE3jx4ZBTXdTk2kpplHtQJPjNqKWGbReQocAxARF4jIn/c3GwpjaJYpTWtlr5WCPC68kDpsZoflWb4Vzl0epxcwaUnGmKgO0pPNESu4NblzEJRlkFgNFntGayeZ7N4FXu6aunNJJUtErItLPH8+FoihGyLVLb2wU0N09BxBEaP67sjFByYyjukcw5TeYeC46XXynS+ij18lfRqxKtMBVVLX4iwLRRcbxDH4L0XXC+9Vj596CxX0/lZ3j6vpvN1eR0Fb1BnNDnN5545z6e+/Qqfe+Y8o8npugZ1jo4keenyJNmCQ280RLbg8NLlSY52wMxfLZ2//wTcC4wDGGOeB97UzEwpjaQR47Sdxx3b+kjnHLIFB2MM2YJX+d5Rh61Ii+g4PYar1ELV0qtReuCbyhe5Pp1nKl+cla4oTaLjNLkoUqXtqJbeRCK2MJ33nL1Y4g1qTueduuKKNSpMw2OHL/LePznEj/zeN3jvnxyqO85auxHg+MCB0aMYs/AgtFn9wflYeOFeXrX0hUjEFm60q6UvxLPnk2VvnyJCLGzTE7V59nx95W86V+BbJ70B4e6ITa7g8q2T40znal91lMwUy3mofE9mgv9MUdM/Yow5PydJ7fECgm3Nt3S2/fS1zIP7b2DnoGcLlvKXIO4c7K57XXkr6DQ9hqsUxmrp1Sg9CDr+g6CzjAdBRVkOnabJxZjOL/zgUy29mazrjhK2BUsoexcM28K67mjNx2iEzW2jAm23C0G3dQqKHs9eX3gWqlp6M8lUWZtZLX0hJjIL3+Zq6QthMPOmJsRPr4ez1zJYlhDyHyNCFliWcPZa7fc2EfNm+165mubUlUleuZomW3BIxOqYDm1TarmC8yLyQ4ARkQjwi/jT6Ur7M9gd4VIyhy0zAa5d46WvZW4d7uOX790dRC9OHafHYhUX8ZXppYe7uVgVrcS67ijXpvIUHbf8IGhb9T0IKsoy6DhNLkauuPBDWLX0ZjLcF+NaOksqWyxrvi8emmfDtxQrtbmtDLQN0Be3yumV9sZBoRH2Ui0kMHqs5mS3Hue7IYGFpBeqc8wzX6Udrpa+EAXfnqOyXXbNTHot3LGtnyePj1Fwc+W4v2FLeNPNtYe/AEjnimztj5HMFskVXaIhi63dEdK52gepNvZGeelSyrc/9MyCikWXjb3Bf6aopfP3M8AfAlvwYpt8Gfi5ZmZKaRyv2dbPWHrUW4NtvJU5YctLX+sE1MlGx+lRqvTspKIFidqw0EqLaMW0dm8shKlYRmMAYwy9HTBKp7Q1HafJoLCxN8pht+SvxpszcFxW/eGsUYG224WAO8FZU3q0baG4QO/PrnPFSyOcMJWa8rn7WHVk5Q03DXDwxcu+91MX27KIR2zecNPA0jtXMJSIkcoU2Lquq5yWzBQYqivmoBczdCAWKoedmMwWO8JoqpZ1VXcZY37SGDNkjNlojHkQeG+zM6Y0hq5omLfespGNiRg9sRAbEzHeestGuupwha20FR2nR7dK61KZLrJwVVWZnvadP0RDNpGQ9x6yLdJq86c0l47TZLOp9uBRrzXCxFSeyVzRG9jEG+CczBWZmFrdUEZDiRiTudlL2yZzTl0Pmu1EwJ3grCk95qvMuFdLbyYDVVaUVUtfiG+fGqcrbJOIhemNhUnEwnSFPa/d9fDQ/u1M5byYua7rkswUmMoVeWj/9pqPkXMMd+9aRyxsM5krEgvb3L1rHblmeKxbZWqpa/+diLyl9EVEPgS8u3lZUhrJlv44Ydtm67outvR3sXVdF2HbDkolrsyn4/RYbVVJZXq+yjqYyvR0ruB7a52Z+xOEdB0G3oqyDDpOk80mVGVWolp6NY6NTuI4XvzQnB9P1HFcjtUR6qERNOJBs51olBOcFrGm9NiA6C1AYwZkuqOhectNQ+Kl18qz55Os746wY7Cbmzb2smOwm/Xdkbodvtx/2xYevGcbqWyBo5cnSWULPHjPtrqWYW/pjxMNhbhn1wDv2LOJe3YNEA2FOuL5uZZ/5F3AF0XkV4ADwC1+mhIAdg9183c/uEB3NERv1CaVKTAykeHeYFTiynw6To+1uJ+vZUmKILjGkHdcXBcsCyK2FYTwHUqw6ThNNhuniqCrpVfjSipbjiFW2rPgeumrSemB8tFD5xhNZRlKxPiFt9wYSHs/mHGCU2kT/8BdW4NiJqF6XAaNid/pBZgX15RtcEOW1y7XivEHbefmoV6HL8dGkrx0eYp37NlEbyzEZLbIS5enODaSrLkcH9g3xMceP8Gz6Ry5okM0ZDPYE+WBe3fXlZdGcGwk2VAfFUt2/owxV0XkXcBXgWeA9xjTAj+0yrI4MTrFjRu6OXElzUgyQ3c0xO6NPZwYneL+VmdOqZu1qkepnNCbm+5jW0K+6BIOWdhhwXEN+aKLXY/BgaLUyVrV5EqodnfqvWuF4uxHQlORvtrcf9uWwHb2OgnV4/JoRAxQW4SsY8o6dgwUfacttXLHtn6+e/oaiJTt7NI5h7t3ra8jJ41zWlTquJY6pPV0ZBtFyftuXzw8y/tuvV6JK6k6oysikyKSEpFJ4BSwG/hxICUiqWWdTVl1jo4kGUlm2dAT5eahXjb0RBlJZjsiSOVaopP1WMtyk0TMq7il4lWZDjOjjkXHJZN3KDouYbu+UUdFqZVO1mSzsaoMyFRLr4ZTRdvV0pXaCGKoB9XjymjE8tHr04V5AzjGeOm18v79N7B9wHPSUrI73T7QxfvrDMN1cSIzz9lbvU6LDh4ZpTcaIurH94uGbXqjIQ4eGa0rLyulsiNriZQ/ryQfVWf+jDG9yz6q0jZUBqkEiIVtckW3I4JUriU6WY8hG/ILhAEKVXjyvHm4l+fOXac4ZznJzcMzt8UAIdtCLFP2bGuL1G37oCi10MmaDArV/C50gD+GlhLEUA+qx9ZTrZNXT+fv1uE+PnTg5hUvcdzSHyeZKZTLLtTvtOjFS0kuXMsQDVv0RG1yBYcTo2mmC6sbNrIZ3neXtOUUkR8Tkb6K7/0i8qPLPqOyqiRiITCQLTgYY8gWHDB0RJDKtUgn6lGqLAmpTL975wD37BpgYyJGr++19p5dA9y9c8b9c1ckhIjQGw2xritMb9T73hXRsq40j07UZLOxqzx5VEtvNsdGknz8Kyf45c89z8e/cqKtZ7hWg0bMmrQK1WPraJTzmUbQCKdFqWwRxJs0KU+iiJ++ijTD+24tVe1vGGPKNaExZgL4jWWfERCRMyLy/7P35mFy3dWd9+fUreqq3ltra7FlWcayJStmiVkEDDG7AhOYzMDAvEPiTDIPZCZx5mUeksBkEkgyyXgIgUkmQ4JnwhsHEhKSAeJAEDYmxgMIsPGGLFmyrL3VarXU6uqt1nvP+8e91apeqvt2V1VX3arzeZ56qupXdzl9+37vbzu/c34oIk+KyGNB2XoReVBEngve11VzDsPntm397B7sIZlwmMq5JBMOuwd7uG1bc47eGctScz1CYzUZkxgO/sNIgncnKC9xYN8g67qTvGnvFn56/07etHcL67qTcx7k2wZSrOtKAELeVUBY15Vg20A0w60bkcHqyBWSqpCBulJ5JSp5ia7EezSKLo71JuKpHkyPq6CnPGluiPJ6cXQ4zUcPHuPhY5d4ZijNw8cu8dGDx1asx1LQov7OBMPpLP2diRWvkevvjM9OmpS/93eu7YByPaLvhun8LbZNLf7y16rqi1T1juD7B4GHVPVm4KHgu1ElB/YN4jgx9m7t4/V7NrN3ax+OE4tKyGZjIfXSIzRIk+u6E3QlHbqTDqlEjO6kQ1fSYV33NXeNMA/yvVv7edH1A+zc2M2m3iQ7N3bzousH2NukbkpGy9BWdWQtQsKHydsZhm39iw/sVCpfjHqsp4k6EU/10FZ6rBUDnYvnfq5UvhiVLvJKLv5nDp3h7JUZgNnZ57NXZvjMoTMrOEpt2Lu1n1u39M7J83frlt41b1PUoiM7nzD/k8dE5OPA/8Sfvb0bP4JSrXk7cGfw+T7gYeBX63CetiLiIZuNhayVHmGNNHnX/h38wUMn6HAcepJCpqDkXXdBjqw9W/uXvG8P7Bvk3kdm2LO1bza0c4QaLEZ0aas6cqArztjMQrenga7wTbxchbydlcor8aG33MqHvnCY6XxxNr1Ld0ecD73l1tDHqNV6mlqHYm8kEW83tJUea8WVqcXTo1QqX4x92/t4cmhhbJ192/tCH+OJc+P0JJ05cSpQ5Ylz46GPAbWJkFmrNkUtng3LtX9WSpin9d3ArwN/je+V9QDwC1WeV4EHRESBT6nqvcCgqg4DqOqwiGyu8hxGQK1vGqOh1EOP0EBNvu/HbubIhTT/8MNLpDNKPCa85Uc2874fu3lFx4l4g8WILm1VR15dpOO3VPliVIrAu9LIvIvl17tr/44VJ3KuNjBEPUKxN5oItxvaSo+1olIMwJXEBkx1OMSYmx4iFpSHRRBm8i6j03nyRY+OeIzuhEMivjL301oELapFm6LkxjoW/D3PjUzy9PlxfuXALQ3VV5g8f9PUfjr7Vap6IRDLgyLybNgdReS9wHsBduzYsczWhtFa1EmP0EBNfuXpIR4/O8FNm3voTTpM5lwePzvBV54eWnHerAg3WIyI0m51ZC2COmiFZO6Vypei2vx6/uj+KYA5o/vveul1oY8RxeiYrUq76bGZePbipB91O1ZKzA6u55eHZeeGTh45fplkwiEZF3IFj4mZAq/ZvXFFttRqRr/aNkXJjbUnFac3FSdX9GbdWH/3n9++6uNWS8XOn4j8kar+ooj8PYs811X1bas9qapeCN4vicgXgZcBIyKyNRhB2QpcqrDvvcC9AHfccYcFdDbagnrqMdi/YZq879BZupPxsoZTbLbckiYbzYrVkdVQahouVr621GJ0vx6h2I2VYXpsPNNBziYBEEGCmfzpxXI5VWCgq4OBrg4Krkuu6BGPCZ1B2UqoxYx+LaiVG2utWWrm76eBXwQ+VssTikg3EFPVyeDzm4DfAu4H7gLuCd7/rpbnNYyIUxc9QuM1OTKRZXPP3Ad7b9JhZCL8WgPDaABWR64SFb+BWOoClt517ft+QPWj+83S0GxzTI8NJiZCwvEV7anOfq+Uzmkx8q7y6ps3cPLyDFPZIj2pOLs2dgURvMNTixn9WiAszDWsQXkjWarz9zyAqn6zxuccBL4Y3Axx4C9V9aCIPAp8XkR+DjgLvLPG5zWMKFMvPUKDNTnYl2IiU5id8QOYzLkM9lmKBqOpsTpylXR3OKQzxdm1QaUOYPcK1gY1E83S0GxzTI8N5vqBFKfHMiQcISGCp1BwYee68HV5aSBl/65rOXznD6yEoVliALz4+n4OnRxDREjGY+SKHlM5l/271q+pHfNZqvO3SUT+Y6UfVfXjqzmhqp4EXrhI+RXg9as5pmG0AXXRY7BvQzV51/4d3PPVYwCza/6mc0Xuft1N9T61YVSD1ZGrZOeGLp48PzcqoAblUaRZGpptjumxCjZ1JxidLixaHpb3v2k3v/6lw2QKHgVXcWJCX8rh/W/aHfoYtRxIaYYYAO/ZfwMXJ3JcnsoxkS2QjDvcuLGb9+y/oaF2LdX5c4AeGuGEbxjGfFpWj4tF7Lv7dTfZej+j2WlZTdaboucndC96iiqIQDwmrDDTQ1PRDA3NNsf0WAVvvG0LB384zESuiKcQE+hLxnnjbVtCH6MW0XdbbSBlz9Z+PvDm3U2XBmapzt+wqv7WmlliGMZStLQeq43YZxgNoKU1WYmejhhT+YW9tJ6O8AnaJ3NFdm3qZjxTnA3nPtAZZzK3grjyhjGXttRjrfip/TcwnM7OpiToiMdY393BT61whqoWdXmrDaQ049+zVOfPRk8Mo3kwPRpGc9GWmnzNzZt46NkRXGV21s4RvzwspXW+16+75uaZzhRsna9RDW2px1rFzd2ztZ9fOXBL081QGfVhqc5fy/gyG0YLYHo0jOaiLTV59xtu5vJ0njNXZsgWXVJxhxs2dHH3G24OfQxb52vUgbbUY3eFmfjuFczEl2jGGSqjPlTs/Knq2FoaYhhGZUyPhtFctKsm92zt5zfffltVMwS2zteoNVHUYyouZIsL5+1S8fDzdi+6boDvnByjvPsXC8oNoxJLzfxFjvWdccYyC9cMrO9sqT/TMCKDadIwmoda6bEWMwS2ztdod24Z7OWpoYlFy8Nyw8Zujo9OMZ1zKXoe8ViM7qTDDRu7a2mq0WK0VAusUqCwCAcQM4xIY5o0jObB9GgYzYPrLZ64vFL5YuRc5fV7NnNydIaJbIG+VIJdm7rIrTAputFetFTnbyqIFBaD2VWwXlm5YRhri2nSMJoH06NhNA/PX55GgHgMP3KSKkXPLw9LKSn6K+YlRd/cu7Kk6EZ7sfIVoU2MFwxfKn4UMp1XbhjG2mKaNIzmwfRoGM1DYXZ2Tua8F1Ywa3dg3yDpTIF0poCnOvv5wL7B2hprtBQt1flLJmLE8QdQCN7jQblhGGuPadIwmgfTo2E0DwlHSMRKk36KCCRifnlYSknR+zsTDKez9HcmeO9rbrSoncaStJTb549eP8Ch02MkYkJchKIqRU/50est6pFhNALTpGE0D6ZHw2geSnqMCyRjMV+PCi9boR4tRYOxUlpquO/XfmIvtw72Eo8JeU+Jx4RbB3v5tZ/Y22jTDKMtMU0aRvNgejSM5sH0aDQKUY1uRCARGQXOzClLJDtjqd4BLeb7Jd6R9rKT41rIZRpkYomNwOUG2wDNYwdEx5YbVHXTWhoTZSKkyZXQTPfqSmhFu02PKyAiemym+9RsWYjpsUZERI8QjXtvrWkWW2qix0h3/pZCRB5T1TsabQc0jy3NYgeYLe1IVK+z2b22RNXuqNEs17lZ7ACzpZntaHWa6To3iy3NYgc0jy21sqOl3D4NwzAMwzAMwzCMxbHOn2EYhmEYhmEYRhvQyp2/exttQBnNYkuz2AFmSzsS1etsdq8tUbU7ajTLdW4WO8BsWYxmsaPVaabr3Cy2NIsd0Dy21MSOll3zZxiGYRiGYRiGYVyjlWf+DMMwDMMwDMMwjADr/BmGYRiGYRiGYbQBke/8icgBETkmIidE5IOL/C4i8ofB70+LyEsaZMedIpIWkSeD12/Uw47gXJ8WkUsicrjC72t1TZazY02uiYhcLyL/KCJHReQZEfkPi2yzJtekHVlOG82KiJwWkR8G9+ZjjbanEovpTETWi8iDIvJc8L6ukTZWooLtHxGRobLnwlsaaWOr0Sx6DPNcXmN7HBF5QkS+3GA7BkTkb0Xk2eDa7G+gLe8P/jeHReRzIpJqlC2tiumxoj2mx4W21E6PqhrZF+AAzwO7gA7gKWDvvG3eAnwVEOAVwPcaZMedwJfX6Lq8BngJcLjC73W/JiHtWJNrAmwFXhJ87gWON+I+acdXGG006ws4DWxstB0h7FygM+CjwAeDzx8E/luj7VyB7R8BPtBo21rx1Ux6DPNcXmN7/iPwl2tVTy9hx33Avw0+dwADDbJjO3AK6Ay+fx74mUZem1Z7mR6XtMf0ONeOmuox6jN/LwNOqOpJVc0DfwW8fd42bwf+XH2+CwyIyNYG2LFmqOojwNgSm6zFNQljx5qgqsOq+njweRI4ii+kctbkmrQhTaWNVqSCzt6OX2kRvP+zNTUqJM3yjGgjmkaPIZ/La4KIXAe8FfjfjTh/mR19+AMifwqgqnlVHW+gSXGgU0TiQBdwoYG2tCKmx0UwPVakZnqMeudvO3Cu7Pt5Ft6sYbZZCzsA9ovIUyLyVRG5rcY2rIS1uCZhWdNrIiI7gRcD35v3UzNdk1YiytdVgQdE5Aci8t5GG7NCBlV1GPxKHdjcYHtWyi8G7tefblaX1YjSlHpc4rm8Vvx34FcAr0HnL7ELGAX+v8Dl7X+LSHcjDFHVIeBjwFlgGEir6gONsKWFMT0ujulxHrXWY9Q7f7JI2fzcFWG2WQs7HgduUNUXAv8D+FKNbVgJa3FNwrCm10REeoD/A/y/qjox/+dFdrE8KNUT5ev6KlV9CfDjwC+IyGsabVCb8MfATcCL8Cu532+sOS1F0+lxmefyWpz/nwKXVPUHa33uRYjju0H/saq+GJjGd9tec4JBl7cDNwLbgG4ReU8jbGlhTI8Lz296XIRa6zHqnb/zwPVl369j4TRomG3qboeqTqjqVPD5H4CEiGyssR1hWYtrsixreU1EJIH/QPsLVf3CIps0xTVpQSJ7XVX1QvB+CfgivotOVBgpuS0H75cabE9oVHVEVV1V9YD/RbSue7PTVHoM8VxeC14FvE1ETuO73b1ORD7bIFvOA+dVtTTj8rf4jc9G8AbglKqOqmoB+ALwygbZ0qqYHhdielycmuox6p2/R4GbReRGEekA3g3cP2+b+4Gf9oM5yivwp0qH19oOEdkiIhJ8fhn+tb9SYzvCshbXZFnW6poE5/hT4KiqfrzCZk1xTVqQMBptOkSkW0R6S5+BNwGLRq1tUu4H7go+3wX8XQNtWRHz1tr+JNG67s1O0+gx5HO57qjqh1T1OlXdiX89vqGqDZnhUtWLwDkRuSUoej1wpBG24LuXvUJEuoL/1evx14EZtcP0OA/TY0Vqqsd4zcxqAKpaFJFfBL6GHzXp06r6jIj8fPD7nwD/gB/J8QQwA/ybBtnxDuDfiUgRyADv1iBkT60Rkc/hR9LcKCLngQ8DiTJb6n5NQtqxVtfkVcBPAT8UkSeDsv8E7CizZU2uSbtRSRsNNisMg8AXg7GJOPCXqnqwsSYtTgWd3QN8XkR+Dr/SeGfjLKxMBdvvFJEX4bs/nQbe1zADW4wm0+Oiz+XAC6SduRv4i6AzcJIG1UWq+j0R+Vv85RlF4Ang3kbY0qqYHiNBS+pR6tT/MAzDMAzDMAzDMJqIqLt9GoZhGIZhGIZhGCGwzp9hGIZhGIZhGEYbYJ0/wzAMwzAMwzCMNsA6f4ZhGIZhGIZhGG2Adf4MwzAMwzAMwzDaAOv8NSki8ksiclRE/mIF+wyIyL8v+x4TkT8UkcMi8kMReVREbgx++wcRGaiH7YbRKtRCh0HZbSLyDRE5LiLPi8hvikhNnr8i8jMi8ke1OJZhGMsjIn8mIu9otB2GERUWqxfn/f6dEMc4LSIba2tZe2Kdv+bl3wNvUdV/vYJ9BoL9SrwL2Abcrqo/gp8weRxAVd+iquO1MtYwWpSqdSginfiJe+9R1d3AjwAvA/5DLQ01DMMwjCZlfvsUABFxAFT1lWtuURtjnb8mRET+BNgF3C8ivyoi3xGRJ4L3W4JtbhOR74vIkyLytIjcjJ/Y+aag7PeArcCwqnoAqnpeVa8G+58WkY0i8tJg/5SIdIvIMyKyL/j86WC28AkRefsS5zWMlqOGOvx/gG+r6gMAqjoD/CLwy8ExPiIiHyg772ER2Rl8/pKI/CDQ5XvLtvk3wSziN/GT85bK3xns/5SIPFLXC2QYEUBEfk1EjonI10XkcyLyARF5WETuCH7fKCKng887ReT/isjjweuVQbmIyB+JyBER+QqwuXF/kWFEkvJ68VER+UcR+UvghwAiMhW83ykij4jIFwO9/cliXjIi8p6yuvdTpU6kEY54ow0wFqKqPy8iB4DXAnng91W1KCJvAH4X+BfAzwN/oKp/ISIdgAN8ENinqi8CEJHrgG+JyD8BHgI+q6pPzDvXoyJyP/BfgM5gm8Mi8rvAN1T1ZwP30O+LyNcrnNcwWo4a6vDjwA/mHft5EemU5V2vf1ZVx4LZw0dF5P8AHcBvAj8KpIF/BEq6/g3gzao6FOLYhtHSiMiPAu8GXozf3nmceVqcxyXgjaqaDQZyPgfcge81cwv+rP0gcAT4dB1NN4xWY7ZeFJE7ga8E308tsu3LgL3AGeAg8M+Bvy39KCJ78D3bXqWqBRH5JPCvgT+v75/QOljnr/npB+4LKiIFEkH5IeDXgg7eF1T1ORGZs6Oqng9mKF4XvB4SkXeq6kPzzvFbwKNAFviloOxNwNvKZiRSwI7FzlvDv9UwmpVV6xCQYJ/Fypfjl0TkJ4PP1wM3A1uAh1V1FEBE/hrYHWzzbeDPROTzwBdC/WWG0br8E+CLwWw7wUDnUiSAPxKRFwEu13T1GuBzquoCF0TkG/Uy2DDahO9X6PiVfjsJICKfA15NWecPeD3+4OejQX3biT9wY4TE3D6bn98G/lFV9wE/gd8JQ1X/EngbkAG+JiKvW2xnVc2p6ldV9ZfxZyv+2SKbrQd6gN7S8fEbpv9CVV8UvHao6tGw5zWMFqMaHT6DP3swi4jsAi4H626LzH0Wp4Jt7gTeAOxX1Rfiz+6V9LlYZxJV/XngP+N3FJ8UkQ0r/ksNo7VYTCvlmkuVlb8fGAFeiK/ZjmWOYxjG6phe4rf5Wpv/XYD7ytqnt6jqR2pqXYtjnb/mpx8YCj7/TKkwZjRSNQAAIABJREFUaDyeVNU/xA8mcTswid+BK23zEhHZFnyOBducWeQc9wK/DvwF8N+Csq8Bd0swrCIiL17ivIbR6qxah/i6enXgLloKAPOHwIeD308DLwl+ewlwY9k5r6rqjIjcCrwiKP8ecKeIbBCRBPDOMntuUtXvqepvAJfxO4GG0a48Avxk4GLdiz9wA77mfjT4XB61s59r6+R/imvLGh4B3i0ijohsxXcFNwwjPPPrxaV4mYjcGLRb3wV8a97vDwHvEJHNACKyXkRuqJ2prY91/pqfjwL/VUS+zdz1de8CDovIk8CtwJ+r6hXg20HAh9/DX5T+9yJyGHgaf7RzTkh4EflpoBjMYNwDvDSYvfhtfBeYp4P9f7vSeevyVxtGc7FqHapqBn928NdE5Dh+p+zbqlpKH/F/gPXBMf4dcDwoPwjEReRpfP19F0BVh4GP4Lucfh1/HVOJ3xM/rcth/AbrUzW9CoYRIVT1ceCvgSfxdfZ/g58+Bvw78cPLl4eO/yRwl4h8F9/lszQ78UXgOfzgFH8MfLP+1htG61BeLwK/t8zmh/Dbo4eBU/j6Kz/WEXwPlweC+vFB/ACHRkhE1TwZDMMw1goR+WfAx4HXqupiM/GGYdQBEfkIMKWqH2u0LYZhLCRY7vABVf2njballbGZP8MwjDVEVb+kqrus42cYhmEYxlpjM3+GYRiGYRiGYRhtgM38GYZhGIZhGIZhtAHW+TMMwzAMwzAMw2gDrPNnGIZhGIZhGIbRBljnzzAMwzAMwzAMow2wzp9hGIZhGIZhGEYbYJ0/wzAMwzAMwzCMNsA6f4ZhGIZhGIZhGG2Adf4MwzAMwzAMwzDaAOv8GYZhGIZhGIZhtAHW+TMMwzAMwzAMw2gDrPNnGIZhGIZhGIbRBljnzzAMwzAMwzAMow2wzp9hGIZhGIZhGEYbYJ0/wzAMwzAMwzCMNiDeaAOqYePGjbpz585Gm1EXsgWXdKZAwVUSjtDfmSCVcBptVtvxgx/84LKqbmq0HVGhlTVp1JcwzzzT48owPRqrxfRYe0yPxmqptR4j3fnbuXMnjz32WKPNqDlHh9Pc+8gp+jsT9KbiTGaLpDMF3vuaG9mztb/R5rUVInKm0TZEiVbVpFFfwj7zTI8rw/RorAbTY30wPRqroR56NLfPJuTg4RH6OxP0dyaIicx+Pnh4pNGmGYZh1Bx75hlG82B6NIzmoR56tM5fEzI0nqE3NXdStjcVZ2g80yCLDMMw6oc98wyjeTA9GkbzUA89Rtrtcy04Opzm4OERhsYzbB/o5MC+wbq7Xm4f6CSdKdDfmZgtm8wW2T7QWdfzGkY9aISGjGhhzzyjWbDnlenRWIjponHUQ48287cEJT/bdKbA1v4U6UyBex85xdHhdF3Pe2DfIOlMgXSmgKc6+/nAvsG6ntcwak2jNGREC3vmGc2APa98TI9GOaaLxlIPPVrnbwka5fe+Z2s/733NjfR3JhhOZ+nvTFiwFyOS2NoRIwz2zDOaAXte+ZgejXJMF42lHno0t88lGBrPsLU/Nadsrfze92zttwetEXkaqSEjWtgzz2g09ry6hunRKGG6aDy11qPN/C3B9oFOJrPFOWXm924Y4TENGYYRFex5ZRgLMV20HjbztwQH9g1y7yOnAObk1njXS69b9TG/8vQQ9x06y8hElsG+FHft38Fbb99eK5MNo6k4sG+Qj33tOE9M5cgVXZJxh409Sd715t2NNs1oMiyggNFoVlrnl9+zSUdQIO+q3b9GS1HrtnBJN0eG06QzRfpScW7b1m+aWUNs5m8Jau1n+5Wnh7jnq8eYyBTY3NPBRKbAPV89xleeHqqx5YbRPHiqAAgy57thlLCAAkYzsJI6v/yeTThw6OQY3zs5RjyG3b9GS1HLtnBJN6cvT3H2ygwTmQLnxzKcGp0yzawhNvO3DLX0s73v0Fm6k/HZcK39nbHZcpv9M1qRg4dHuGFDN7dfNzBbls4UOHh4xEb4jFnKAwoAs+92nxhrTdg6v/ye/e7Jidk8XCcvz7B/14bZbez+NVqBWrWFS7o5OjxBKuGQSjhkCy4XJ3Ps3dpnmlkjlp35E5HdIvKQiBwOvt8uIv85xH6fFpFLpf2Cso+IyJCIPBm83lL224dE5ISIHBORN6/2D2pmRiay9CadOWW9SYeRiWyDLDKixmr1GGy75pq0ZMFGGKJ8n1gd2Z6U37MT2QLJeIxkPMZUsDYqKvdvq2F6bG5KuilpBpjVjWlm7Qjj9vm/gA8BBQBVfRp4d4j9/gw4sEj5J1T1RcHrHwBEZG9wzNuCfT4pIs4i+0aawb4Ukzl3TtlkzmWwL1VhD8NYwGr1CA3QpC0UN8IQ8fvE6sg2pPye7UslyBU9ckWPnqBDGKH7t9UwPTYxJd2UNAPM6sY0s3aE6fx1qer355UVF92yDFV9BBgLacfbgb9S1ZyqngJOAC8LuW9kuGv/DqZz/kJZz/NIZwpM54rctX9Ho00zosOq9AiN0aQlCzbCEPH7xOrINqT8nt21qYvJbJGpbJFdG7uidv+2GqbHJqakmy19SbIFl3SmQK7gsaU3aZpZQ8J0/i6LyE2AAojIO4DhKs75iyLydDDFvi4o2w6cK9vmfFDWUrz19u188Mdvoa8zwaWpPH2dCT7447fYej9jJdRaj1BHTVqyYCMMEb9PrI5sQ8rv2YIL+3et5+W71lP0iNr922qYHpuYkm52buxhx4Yu+joTXLe+kxs39Zhm1pAwAV9+AbgXuFVEhoBTwHtWeb4/Bn4bX5S/Dfw+8LMQhAGcy6IhAUXkvcB7AXbsiN6M2Vtv326dPaMaaqlHWANNWrJgIwwRvk+sjmxTInzPtjKmxybHdNN4lu38qepJ4A0i0g3EVHVytSdT1ZHSZxH5X8CXg6/ngevLNr0OuFDhGPfiC5s77rij7jHjLfeU0UzUUo/B8SKnyShgz432od3ryGbGdNh+mB6bG9NkcxAm2ufvisiAqk6r6qSIrBOR/7Kak4nI1rKvPwmUoirdD7xbRJIiciNwMzDfZ3vNsdxTRrNRSz0Gx4uUJqOAPTfai3auI5sZ02F7YnpsXkyTzUMYt88fV9X/VPqiqleDcLdLhs4Vkc8BdwIbReQ88GHgThF5Ef70+GngfcExnxGRzwNH8Bfm/oKquosddzlqOapguaeMJmRVeoTGabJRNGqE0Z4bbUek6si1pJGj/KbDtsX0uAjNMONmmmwewnT+HBFJqmoOQEQ6geRyO6nqv1qk+E+X2P53gN8JYU9FSqMK/Z2JOaMKq11EOjSeYWv/3DQMlofEaDCr0iM0RpONotbPgpVgz422IzJ15FrSSA2C6bCNMT3Oo9FaLGGabB7CRPv8LPCQiPyciPws8CBwX33NWh3lowoxkdnPBw+PLL/zIkQ895TRmkRGj42k1s+ClWDPjbbDNLkIjdQgmA7bGNPjPBqtxRKmyeZh2c6fqn4Uf3RjD35Cy98OypqOofEMvam5k5nVjCpEPPeU0YJESY+NpNbPgpVgz432wjS5OI3UIJgO2xXT40IarcUSpsnmIYzbJ6r6VeCrdbalarYPdHL68hQXJ3JMZAv0pRJs6Uuyc2PPqo5XykdS7if9rpdeV9U0eTP4XRvRJip6bCS1eBasVqv1eG4YzY1pciHbBzpJZwqz63og/Cj/UtoLq0vTYftiepxLNVosUYu2a1hNWju5/lTs/InIt1T11SIyydz8JQKoqvbV3boVsnuwmy88fp7uZJzepEM6U+DCeIY33bb6UYVa5iNpFr9rI3pEUY+NpNpnQbVatTxGrY9pcmkO7Bvk3kdOAf4sw2S2SDpT4F0vvW7J/ZbSHrAiXZoO2wfTY2VWq8UStWy7LqdJayevDRXdPlX11cF7r6r2lb16m1VEx0emefH1A/R1JpjOe/R1Jnjx9QMcH5lutGlA8/hdG9EjinpsJNU+C0yrxnKYJpemNMrf35lgOJ2lvzMRqgG3lPZMl0YlTI+VWa0WS6yl7kzja8OSbp8iEgOeVtV9a2RPVQyNZ7hhYzc3brrm2uWpLurX/KlvPsd9h87OToXftX8H7/uxm+tun0U6MlZL1PRYC1br/rGSZ0Gl/eMxODI8wVS2SE8qzq6NXUzlisvvXCXm8hId2lGTK2H+KP/R4TSfePD4kvf2cvXkUr/VQzumx+hgeqxMpRm3MPf3fE2OTmY5cWmKkckcwKo1sdi5rZ28NiwZ8EVVPeApEdmxRvZURdhIQp/65nP8wUMnmMm59CUdZnIuf/DQCT71zecWHLNUWX3gb57iEw8eryoZpUU6MqohanossVoNVZMQtlqtdTjCo6eukiu49CQdcgWXR09dpcORUPuvFkuCGy2iqslaE0bjYe/tpbS71G/10I7pMVqYHlfGajQ5Opnl8bPjTGSL9HQ4PHzsEu/7zOP8py88vSJdVDp3hyPWTl4DwqR62Ao8IyIPicj9pVe9DVsNB/YNcubKNA8fu8QDz1zk4WOXOHNlekEkofsOnaXDcehOOsRiMbqTDh2Ow32Hzs7ZrtYPfot0ZNSAyOgRqtNQNe4fYZ8FlRDmLhoh+F7frp+5vESUSGmy1oTV+HL3dqkDeWQ4zXefv8Kp0akF9eRSdWg9tGN6jCRtrceVEPb+Lunu1OgUDx8b5cJ4huF0hqszBQDWdcZ55sLEitrHlc4tYO3kNSBMtM/frLsVNSQmfvNMg6Zb6Xs56UyBvqQzp6wzIaQzhTll5TcnMPt+8PDIqqa4LfqYUQMipcdqNFSt+0eYZ0Elcq7y8l3rODk6MxstdO+2XnLu/C5hbTGXl0gSKU3WmrAaX+reLg/ycOuWProSDsdGppgpuNy2rX9OPVmpDv3Tb52uuXZMj5GkrfW4EsLe33u29vOGPZv4H994nslskZ6kQ77okcm7uJ7S1eEwlXNnO45hl2Ysdu7hdNHayWvAsp0/Vf2miGwBXoY/+P2oql6su2Wr4ODhEa5f38W+7dduknSmsOBm7O9MMJkpAC5FT4nHZLa8nHo8+C36mFENUdIjVKehasJTh30WLHfuV+zaMGf/zb2JJfa6xmrXCdUiJLextkRNk7UmrMaXurfndyB3buxhXXeS/s4E73/j7lB21EM7psfo0e56XAkrub+Pj0zzil0bODI8QXomz9mxGTxVzlyZZttAJ/1dHStqHy91bmsn159l3T5F5N8C3wf+OfAO4Lsi8rP1Nmw1hE1keeC2zczkXXJFjxhKrugxk3c5cNvmOdvZGj2j2YiSHqE6DVXjJl1tUttqzl2Nq6u5hkePqGmy1oTV+FL3dli9LqWtemjH9Bg92l2PK2El93dJoxu7/Yih4HcgckWP4XSWjd2JFbWPTVuNJcyav18GXqyqP6OqdwE/Cvxqfc1aHWErod5Ukt2bu0BhpqigsHtzF72p5Jzt7OY0mpDI6BGq01DJ1eTI8AT3P3WBI8MTvGHPptAzaNUM3FQTGruadULVhuQ2GkKkNFlrwmp8qXs7rF4X05bneXz4/iP86bdO05mIUSi6NdOO6TGStLUeV8JK7u+SRq9MFxjsS9KTjOMqJBxhsLeDofHsAt0vFQjKtNVYwqz5Ow9Mln2fBM7Vx5zqCJvI8shwGo8Ye7b1kYzHyBU9sgWXI/NG5m2NntGEREaPUJ2Gjg6n+frRUfZu7ePlN65nMlvk60dH2bWpZ9n9q01qW7J9NVqv1l3cXF4iR6Q0WWtWovFK93ZYvc7X1uWpLM9enMT1mH1GpDOFmjYiTY+Ro631uFLC3t8ljV6eyrG+K0FXR5zupP/yPCXvenN0FyZZu2mrcYTp/A0B3xORv8P3n3478H0R+Y8AqvrxxXYSkU8D/xS4VMq5IiLrgb8GdgKngX+pqleD3z4E/BzgAr+kql9b6R8TthJKZ4qICKmEH/QllXDIFT3SmYU5vOzmNJqMVekRGqNJWL2GqgkW08iBG1sn1HZEpo6sF9XWk2H1Ol9bJy5NIyKs77k2EwirD8pmtARtr8d6UNLoh+8/wthUnvU9HbxyWx+belOzmizXXK0DJhq1JUzn7/ngVeLvgvfeZfb7M+CPgD8vK/sg8JCq3iMiHwy+/6qI7AXeDdwGbAO+LiK7VdUNYd8cHjl+ib/5wbnZm7GrQxbcaH2pOBMzBbIFd3bmD/XL5xM2cEOtE8FaYlmjAqvVIzRIk195eoj7Dp1lZCLLYF+Ku/bv4K23b192v2oTrZ8cneLQySuMTGQ525di92D3ijS0Wg3WYtbRiBSRqiPrzVK6Kf9tJlvg7NUMk7kig30pXn/rxmWP+cyFNOevZrhlsIcdG7q5PJUjEYvxgk3ds9taNM62p2X1uJI6qbze7U3G2bGuk65UYlXtyfLz3rypmwsdDjds6KY3FZ91815ulh6W1qa1edeWMNE+VxU2V1UfEZGd84rfDtwZfL4PeBjfF/vtwF+pag44JSIn8CM1HVrJOUvJ2zscZ07ydoD3/djNs9vdtq2fQtHludFppnMu3UmHmzd1c9u2uTdamGnrlWwXlqPDaT568Bhj03nyRY/nRiZ5+vw4v3LglkiJwcRce1arx2DfNdfkV54e4p6vHqM7GWdzTwcTmQL3fPUYwLIdwA5H+N7JMXpS8TmJ1l++a32o8/7W3x+h6Pm5+Z7PTvFbf38k1HmhOk1XO+vYSN2YZldOlOrIerOUboDZ36ayeb514goxhOvWpxidyPIHD53gZTes40euX8dT567y2e+eIeEIm3qSJBMx9m0fYM/WIA3ERT8NxIaeJFt6k2zqvdbIbMZZdtPV2tGqelxJnfSpbz7H//zGSRC/Hr08meX0lWle/YINpDPxivstdp8Cc847mS0ynSvy2Omx2YGbu/bvWHaWHiprs9ZtaGN5wgR8qSWDqjoMELyXwmtuZ65P9vmgbAEi8l4ReUxEHhsdHZ3zW9jk7bsHu3l2ZIp8wSMukC94PDsyxe7B7jnbhQ3ccPDwCK7rcWR4goeOXuLI8ASu6606EexnDp3h7JUZgNkIaGevzPCZQ2dWdbxGUE3EQ2NNqbsmu5NxX0OxGP2dCbqT8QWaXPS4rD7R+icfPkmm4BGPQUdciMcgU/D45MMnQ+xdfXLn0qzjo6fHOHTyCidHp0Lt10jdmGabgrrqsd4spZvy3344NIEjgqvKqcszjE7lAHjs7Dhf+MF5vvP8FfJFl5jAcNpf1zeSzhAT4cZNPbzipg3s3drPb75tL44Ta+qgbKarSNM0egxbJ/n322liMaEnGWem4FJwlVzB5etHR/ny0xc4PDS+oD1Z6T797KEzc86bL7pcmcrjxIS3vXAbe7f28fWjowvu55UEe6u2vjVWThi3z7VgsfbcotmUVfVe4F6AO+64Y8426UwBB2V0ooiriiNCKiGkM96cY3znxBXU88gUruX56xaH75y4MmdWIOy09TMX0pwfy5BMxGZnKI4HCWrnE2YE8Ilz4/QknTlrElHliXPji12SpsT8vSNPTTQ5MpFlc0/HnO17kw4jE9llDci5ypa+Dn44NEG26JGKx/iR7X2hEq2fvzqDIzCTd3EVHIF4TDh/dWbZfaE6l9NqZjsbqRvTbFNTEz1WQxh3zi89OURPh4OI4CkLdFPS1MhEDlUl4QgiQr7oUXAVxxHIFhARCq5HpuDhxIRUPMZTQ2l2b+kDrtXDUQjKZrpqSdZcj4u1R7OFIt87dYWh8QxJR1DgyXNpJrMFOhMxJrIe2bxHqQUcEyUmMDqZ5+DhYQS/nt0+0MnoZHbR+/T7p8Z4/Z5radBOjE77Sd5db8l1tivRZj1yahtLs2znT0ReparfXq4sJCMislVVh0VkK3ApKD8PXF+23XXAhZUePBETxjPXOlyuKvmcMtA598/8zvNXmMq7FIoergdeTNGgvJztA518+8Qlnr04Ra7okYzHuHVLD696wdx8gBPZIjnXZTJXmN2uIx5jYl7o6qPDaT72teNcnsqRK7o8NzLJ4aE0H3jz7jmCEKTCjEeYOY/mwMRcH2qsR6izJgf7UkxkCvR3XnMymMy5DPalltjLZzpb4PunruL62Vgoui7fP3WVN3Z2LLsvQDpbxCsTUkxYkEusEh2O8NDREaZyRQquR8KJcebyFK/fs/yMwn2HzlJ0XYau5sm7Socj9CR9D4TlOn+N1I1pdnVEqY5cLfPdsp46O8Znv3uGjniMjd0ds26ZPR0Op8dmKLp+PZiIxTh6Ic2Gng66kwnOXZkOBl3943pFJZW4Vq+JQsH1G6iFojKZLZBKOAjKZM7lwSMjxARyRZeE4/CJB49zYN9g6ETwjcB0tba0qh7nu1GOTmZ59NRVelJxEg4cOjlGvugxkc1TdJW06xIDyqc+PIXLU3k89Xuv3zpxmVe+YAMPH7vEiUtT7NzQxQuvH2BTb4rRySwnLk0xND7DA89cJOHEcFUZnczRlYhRVHjgyEX6Ugl2bepiaHz1ARPL/7bRySwnRqdng8ocHU7bIEkdCOP2+T9CloXhfuCu4PNdXFuIez/wbhFJisiNwM34STpXhOd5ocpHp7Jk8h4KODG/YZnJe4xOzZ2NmMzmeOJsmnzRoyMG+aLHE2fTTGZzc7aLCVyezJEteHQ4QrbgcXkyR2xeX+2zh85w6vI0AH0pX8CnLk/z2XnT7y++vp+pnEu24KKqZAsuUzmXF18fHQFUm2fNqEgt9Qh11uRd+3cwnfMDnnieRzpTYDpX5K79O5bd9/EzYwRpOGddQIvqly+HE2NOxw/8705IR/ezY9NcmsyTKXh46ruMXprMc3Zsetl9T4xMMDqZJ1NwcQMPg9HJPCdGJpbdt5G6Mc2umsjUkaulfPbq+UuTPH4ujespqM5xy8wVPfIFFxCKrjKZK5IpuDgiXByfYSJ3reMHvqbzBQ9VX6zxmD87kS349XNMwBFhMucFW3s8d3GC5y9Nc/rKNH/1/bP8+pcON7ULpelqzWlJPZa7UY5MZHjo6CVGJrJ4nnL4/AQJR5jKFXE9nW17LtYiLtWLCpy/muGbxy4D0J10uDiR4/Gz4xy/OMHjZ8eZyBbZ2N3B0NUMZ8dmEFWKrsfQeJZETOhNxskWXL538ipJZ/WTE6W/7dToFI+fGWciU8CJwda+pLlI14mKw+Aish94JbCpFCI3oA9wljuwiHwOf6HsRhE5D3wYuAf4vIj8HHAWeCeAqj4jIp8HjgBF4BdWEzXJryCWLy+4/o3vzquE5ntpHnzmEnHHH4ksuCACCccv/42fuLadp7CxJ0nO9cgXPZKJGH2p+ILG5xPn0jgCo1M5v0MZj9GdcHji3Nwb+z37b+C5S1OcvjJNtuCSSjjs3NDNe/bfsMIr0jgs4mFtqVaPwTHWXJOlma7yaJ93v+6mUEFXRqcLs5+1Qnklpis8CyqVz+eHQxMIvrZLOo4F5cuRCVxN42V1YVH98uVopG5MsysjinXkaimfvXrqfJqYQNHzGJspEhPBEfi/Jy5TcBVVf6C0NGgTEzg/niUf9Prme7W4QAyhLyX0pHw3aRE3qG9j5FwXRyCViHHmygz5QMLZvIuqx5ELBf7w68/xxz91x1pdjhVhulobWl2PJTfKzxw6w3eeHyPvegz2dXBpMsfYdJ64I3QmYiQch0w+XD3nqb80QwR6k3EuT+cBX+N9wQxjZ0ecbQMxxjN5Lk3550klYmTLGsyLrc9fjEqu4+VpJAqex8aeJC/Y3M3GHn/toblI156lfKA6gJ5gm/IQuRPAO5Y7sKr+qwo/vb7C9r8D/M5yx13ynCHLS6MilcpLXJnKU77ERxVyRb+8nL5UnEsTUHT9Ecyi69HhxBakjsgUilydLvhuoU4M11VGc3nWdSeYT3cyztb+zmudxGSzLM8MRxTWYkSMqvQIjdEk+B3AMJ29hedfWXk5BXfxyq9S+XymssUFo6ZeUL4sIii6YIYDWX5ktJG6Mc2umMjVkaul3C0rnSlQdD1EhIQTo+gqUwWPhCOgSrFMnwq4CjHPW7JxuH0gxcXJHAMxQQS6EzHyniIiiMKOdSlSyficwEm+KzigHodOXql47EZjulozWl6Pe7b2s6k3xetu3cwPzoxxbiwTLDMSZvL+GtmwHbESvo6UK7kCm3qS9KXinLkyg6KkEg6Xs0UG+5Js6kkyMpmj4EIqSJE2lXPpScXZs7WX/DJr8ZeL6Llnaz871nfx8hvXEyurK81Fuj5U7FGo6jeBb4rIn6nqGRHpVtXlfZ4iQDIeI1NY2AhMxuf6hBWKFRqQ88o39yZ5+uxVpoO1DPEY4Cmbe5NztuvqiAcdx5JIFE+Vro65/4aDh0e4YUM3t183MFtWafRjtTnU1oJqE/8a14iyHlcb5jzsYM5izJ91X658PpXqsRCxZkjFndncoaXZDxG/vNkxzYYnyposEVab5bNXoLiuoqJ4Kr77J+C6uqibGcAi1e0cLk3mEPW4PJWj6PlLNVR9T5t4TMi5HptTCX9mkWuaAn9WfSbErHojMV3Vn1bQ41LMD6p0YTzDTN4l7wpaNriy0o6fKlydyeN6SsH1XbQ74kIq4TCVLXJ1Oh9E9/SXK3V3OMzkXZyY8OId/bOzc+UpHRYjTOCjlaSHMKojzAqYbSJyBDgKICIvFJFP1tes+pIrLD56P7+8Un01v3x8Os9k3g0W0SqewmTeZXx67gzhtoEU67oSgASjJMK6rgTbBuYuBh8az5ArFvnuySs8cOQi3z15hVyxuGD0oxRVcCJTmBNV8CtPDy1zBYwIEyk9loIcPXzsEoeHxnn42CU+9rXjLe3Dv6Gnw3d3i/neBLGY31jd0LN8oBoLCx9JIqXJEiu510qzV/2dCZyYH+whBsRFqDBGuiKKnke2CJ6nbOpOUPD8Tt1UziVTcBlO5zh7ZWrOeiXfU8cvCDGpbrQPkdRjOUeH03ziweN84G+e4hMPHucrTw/NarUn6XBuLMNUzqWrI4bnQSaEQ8pS5F3FDda2nx2bJgY/29WRAAAgAElEQVRcTGdIZwrEY34AwqLnB1ry19MrfZ1xnhuZCp1eZWg8syDg2vxZvZWkhzCqI0zn778DbwauAKjqU8Br6mlUvankuTW/vFJ9Mr/86MgknueRK3jkikqu4OF5HkdHJudst3drPzdu6CLu+GGs445w44Yu9s4bEUw6wiPHL3P68jSjEzlOX57mkeOXFyyorSaHmhFZIqXHsEGOWomNPR0k4uLP/CmgkIgLG0N0/izfUSSJlCZLLHevzW+AArz/jbu5ZUsfW/uSdCSc2U4gVB4sXY7S2loFckVleDI357d4sB5jfKY4p8Hier6+nBhs6AoXAdhoCyKpxxLzB2VOX57iQ184zNePjPDlpy8wdDVDwfWDAaYzbuilDJWQ4OWIr+VC4G5dSsXiODFi4m9T9PzJjVe/YMOsG2h/ZyJUMvYwgY/KB5mG09nQxzZWTqiFZKp6TuYOrTW3j8UyhHUnq+Q7Pb/zNzqRI+/64intlHf98nJ2D3bzhcfP05tKsK0/xWTO5fnLM7zzpdfP2W5sOk86UyAVd0g4QsFVpvNFxubNJFaTQ82ILlHS4xPn0gtyVqrqgiBHrYSHsKU3RcHT2dQviZjghUjVUk1+QaNxREmTJZZKQbDU+pz+zjjpzgSb+lIk4zGePHeVarwuS7MKEHQgy9qygh/0BfxcZbdt6+PEpUkKnqIqJBNCV8Lhtbdunn9Yo42Joh5LlA/KPDcywbdOXJntNE3n5wYgK7ltVoPit1074n6e6smsy1SuiIg/oSAijM+AonQmHPo7O7h5sI/NfQX2dyZ4/xt3zw4ULeU+HjbwkblIrw1hOn/nROSVgIpIB/BLBNPprU7Cgdwij4zEvKU7hSCVhIhc6xmqzpaXOD4yzU0bu3hudJrhdIaeZJybN3VzfGSat5Ztd3pshnWdccYzRSZzfp6wdZ1xTo/NTVBdTQ41I7JESo+Kksm7XJnOz3aEuhIx4hFY/7Za+lJxLqX9RfTgvydisiAA1GJ0OMIjx0YpeIqrypUp4cLYDK+5ZVPo8692jaWxaiKlyRJLra85eHjE914ZnmAiW6AvlWBLX5KDh0fYu7Wfq9O52fy386NkrxRHllhLW/ZbTOD26/uZyhWZzhXJuR47N3SzsSc5Gwnb7n2DiOqxRGlQ5rmRCf7x2Ohs2hOY29ErtS5X2/crzwFYyoEr+O/pTJ6YCEVPZ2ffPRUEP2dtyR3zXS+9btlALiUs8FFzEabz9/PAHwDb8RNbPgD8+3oa1SxUWsswvzzhxCgUXQpl0SRilEYsr/HMhTSnxzIUXY94TCi6HqfHMsTjc2dBsnmXqzNFFD9fi6fK1ZkicWdug/mu/Tu456vHAH/GbzLnMp0rcvfrblrdHxwSq2AbSqT0uHN9F9949hJFzw8BL+JXJK8LMVJfqVFYRTqhNWFzb5JnhydRFFVFxX9mzA8AtRjj03muTOfmLmJSXbB+uBJhK2KjpkRKkyUWG4k/c2Wabf0pvnFslFzBZVNvkv7OBNmCy7eeG+XgMyN4qhQCYa5WiuVeNeUN2vkupAJ+BG1P2bmhi409KV75gg0cHpog73rcecvm2frH7n0jIJJ6LLWrjlyY4NFTVxi6mpkTObcSq+38lTTmCHQmHDw/Rhm9SYcOJ4mnylTOpbPDYXNvkpmC60exD2YlSx23Tzx4fNlALiVsVq95CNP5e6mq/uvyAhH5eeBP6mNS8xA24t+6zgRT86YIvaC8nJF0lovpGVxP8FT9/EiZPL3z0jg4AtOL+NFsmVfTvvX27Zy/OsN9h85y7uoM/Z2Jukf7tAq24URKj5O5wmwIaAVE/cXlk7nlc/VVk+qhWsK6fFfcVxXBD1svSPB9eY5c9PMIFl0/uXws6CyXypcjTES1ZiXCg0qR0mSJ+SPxHY4QEyERdxD8tChnx2ZIxmO4rsfkIrnDVivFeLCcAeauFUzEhc6EQzpTnE0TkS96JOPCbdv68FRJOA67NvUsqHOWmq2MyH1k1IbI6bHUrvJjRxQ5M7Y2qQ18t2qhKxknJr7+U4k4v3zgJnZt6uEzh87wxLlxBOHOG9fznv03LNDSUu7jRvMSpvP36yKSU9VvAIjIrwCvpYmFtNZohdbo/PKLE5kgqEwQGluVgueXl5POFhatVNPZuQ3mo8Npnr04zZv2bpkduX324jRHh9N1q+yi3LhsESKlx8NDkzjiT2SVQrSr+uXLETbabj2oJs3EyGQOxe/gFl2PuBNjoDPByGRu2X2vzhRw1V9/UeqAFlzl6szynWWIbkUc8UGlSGmynPKR+E88eJyOuOOv88FfryridwKnQyaNDkuxwshqrqgUisVZnQm+FhLxGPmix3A6W9Fd7MhwmrNXZkglHHqTcbIFl2cvTjJTrV+qETUip8fSwMWxkam6xmwoDUA6MT9Sbzwe444dA8wUlR3ru2YH3Uo25V3lTXu3zCn702+dnjM4Z+kZokmYzt/bgC+LyC8DB4BbgzIjYDxbxCFYfMu16Enj8yIbTVQIMzq/fCrnEgc8P2cuIhALwl6X04iOWFQbly1EpPSYKRSJOzLHBbrgemQqpFtpBUbSWSazLr3JBE7Mz4M2mXUZSS9fqfvR6xWIXZt+1DChYnyiWhFHfFApUpqsxJxnu/gzcG6Zi2ctWSq4Wnk3syfp0NURJ5N3OXc1w5d/6Y6Kx0xniojInOBSuaJHuto4+EbUiJweh8YzDKezqCpTNR5oKZGI+VXLuu4OOuIxiq4HCKNTecr9Uh45fokvPj5M0VPWdyfIF1w+enCcmAjXr+9aMDgXNpCL0Vws2/lT1csi8jbg68APgHdopamuNsVVcByZkyQ+V/QWuIe6FTJMLyhXpYjvIhd8pQgk5l32RnTEotq4XIwouplFTY+pwIUrW5w7cNHfGSrQcMOoxu1zOl9E1WMqp7Pu3YIfsXc51nd3UHT9Bf6u5+/bEY+xvjtcKPsD+wb52NeO88RUjlzRJRl32NiT5F1v3h1q/2o0Uc2+UR5UipomK1H+bE8E6YjyrrcmbtaVtJYtevR1Ck4Mnrs0xQf+5qmK91ZfKs7ETIFswSUZj5Er+ouYwgRaWooo1hPtTBT1uH2gkyfOXiVTTdjcCsSBnZu6ODuWCdJD5Ek4MYoedCZinBydYveWPrb2pzg1OsXDx0fZ0N3Bpt4kuaLH8UtTuJ5HV0ecfdv9+758cO79b9xtgVwiSMU8fyIyKSITIjIJnAB2A+8EJkQk3AKUNmF9ZwLXVTIFl0zBI1NwcV1l/bw1f16FAZ355cmEc23Qn2uzicl5YUbD5E2pNa2ShDNqybSjqsf+5OJRPSuVNwvVuH0qfuRfpbTWMcibFGLf/bs2MNDVQU8yTleHQ08yzkBXB/t3bQhpuR8gCvy1huXfl6MaTVSrp0Y8y6olqpqsRPmzPYY/gOl5jQuwpPjuoQXXYzpXRGDJe+u2bf3sHuwhmXCYyrkkEw67B3u4bdvqG6FRqyfamSjr8cC+QRJOrD4pfYIZv76UAwoF108X0Zt0yBRcigrb+lPERLgYLE3wXb79WfRkPMbV6QK5eQO45YNze7b28/437uZj73wh73/jbuv4RYCKnT9V7VXVvrL3lKr2lL6vpZHNzu3X9ROPC6r+aL0qxOPC7detTgDdyXgQ6AHiwXtM/PJyGtERa5UknFFLph1VPV6eXnytWqXyVqCrI44XBHgpBXrxVOnqWH4G4j37b2Bb0OEpBh4B2wY6Z0PZL8fBwyPcsKGbO2/ZzJtu28Kdt2zmhg3doe7rajRRHmzj60dHODo8ged5ofUUxUGlqGqyEuXP9rGZAk5MGOhKsLG3tqmDYst0JssbJYo/CKAI2wdSS96XB/YN4jgx9m7t4/V7NrN3ax+OE6vqHopaPdHORFmPe7b2c/frbiLhxFYdQbcSqv469A09KZx4jL5UnHVdHbjq/7a1P8mVYE35VLZId4ffKSyRjMdwVUnOS8/U7INzxtIs2xoRkZ8EvqGq6eD7AHCnqn6p3sZFhfXdHWzsSVJ0FddTnJgQd2SBq5ZU8CWTeWrv7+zAERibKVBwPRJOjPVdCXpSc4/XqLwprRCuN6puZlHTY95VOmJQ1GvrV+PCbATQVqQ36aCeoiKICJ6CqNIbcrazN5VgS39q1m2zN5VYfqeAofEMCQe+e/JaxMNdm7oYGl9+RLkaTVQbbCPKOaCipsmlKD3bv/TkENsHYoxnir77ZC1ZRvrzf1aFjT0dvLxs9nux+7Ie91BU64l2Jqp6LEVp/w9/9WTFNGOrwQsi5hZdpTcVZ7A3iQdcn+piJldExO/0AfSk4mQKRfKuzrpPT2SL9HfG2diTJJ0p2Lq+FiGMM/yHVfWLpS+qOi4iHwZWLSQROQ1MAi5QVNU7RGQ98NfATuA08C9V9epqz7GW5FzFEWWoLJrfjnVJcvMauAlHcBdJ3JKY51fz4uv7efCon09J1Z81yBY9/sn1zd8QigoRXrtYcz1C/TTZ4QgzBfVH84PBj7xCV6LJk/VVgYcw0N3BZNavRDscoTeVIEzYloOHR7h+fdfs2gqAdKYQOvBJ0hEOnRyjNxWf7YR97+RV9u9av+y+2wc6OTU6xcXJHFPZIj2pOFt6k9y4qWfZfWsRbCPCg0otU0eW1rdN54pMZX03y+5knMtTYzU7x3LDPn5uW/9zwhHW93Rw86ZuNpXNQFZ6Vtf6HopwPdHORFaPb719O7/2xcOM1zBIkb8MAV6+a72f2iGI6Ht5KsvT59KcHJ2mOxlnZCLDlt4kw+MZfmR7HzN5lyvT/vrAX37zLeza1BPJwTljccJ0/hZzDa1FtIbXqurlsu8fBB5S1XtE5IPB91+twXnqztPnxzh7dW4Y97NXc6TOz60we5MO2eJCUc+fEdixoZOr03kKwehP3lUKxTw7NsytcCIeHr2hRDhCVb30CHXQ5PaBFM+NzvgR/PRaw2/7QG1dyZqJGBq4L4KgFD2/A7cjxKq/ofEM09k8DxyZYDpXpDsZ54Xb+5jKhQv4okC+4HIxV8RVxREhEQu33nD3YDdfePw83ck4vUmHiUyB4fEMbw7hNlevYBsRoSXqyKPDaT72teNcnsrR4QgjEznGpvN1WfNXKaASwEBnnImsS9HzB056OuIcG5miv7ODGzZ2c/bKNMdGprhuXSefePB4XQOwRLieaGciq8ejw2nytZ5pB7b3p/ipYOnAvY+c4up0jmcvTiIibOxNknCE7zw/xqtfsIEP/vgtHB+ZZmg8w/6bNs7RV+m9NEg0P+2DER3CCOIxEfk48D/xn9d340dQqjVvB+4MPt8HPExEOn8nRmZClXenEkzkiuSL14K4dMT98nL+5tHzFLy5kQULnl/+vh+7ebYs4uHRG0qE3czWSo9QA03OVAhbXam8FZjOubiquC5BtE9wHL98OWZyBR4+HrQvFPLFPA8fv8xrb9kU6tyXJnNMZPNM5rzZZ0xvMsalEDkGj49M85IdA1ycyDGR9Wc7bhns4fjING9dZt/btvXTlXDmzBresL4r1KxhC9ASdeRnD53h1OVpelN+sCEvGKxZxFmlKkozEfN7fw4Qi8lsxy/hCAXPH0jJFV2+e/IKj525Sq7osW9bL3u29i0Y8Kx1ZM4I1xPtTCT1+KlvPscn//EkM4Xa1o1xgUuTeX7lb55my0CKC+NZhq7OICJsH+jklTdtYFNvanaG+623b1/yeW+TDq1BmM7f3cCv409vC/AA8AtVnleBB0REgU+p6r3AoKoOA6jqsIhsXmxHEXkv8F6AHTt2VGlGbQibjLonmSAey+N06Oz6J0HoSc7t/J0em/EbjGW9P1f98nJsPUJ1RNTNrB56hDpp8vJ0DsEPWlSi6PnlrcrYTJ58QWcj9XqquJ5fvhzHLk5SdJW4I8Rivvtb0VWOXZwMde6jF9JM5jxicm12ZTLncfTC8tEJh8Yz7NjQzc6N1zpsnmqo54k/QzLD3q19c2ZImjlgSw1piTryiXNpepIOqYTDcyOT/z97bx4f13Xed3+fe+9swGAhQBLcRVISJUrUYlu2Qm91bMuW7STu4tR261T9xK2b1nX6qnVTu2lfJ03Spo5eu7Hzpq3bpFKS2lkap1asmrIsx1YW2bJkWTJFihJFUhRBEFxADDCDWe7y9I97ZwiAWGYwmP18Px98gDlz75xzB+d31ud5TlW7xWtm0YenYhauH7B5MEG26FEo+ViWYJcPmS/6+DFl/8Z+Zgoek7MlLmWLFVPQcgCWRgxKO7Sf6GU6To8PPTvO5x49Tq4Bi6KWJZT8gFOXcpT8IPJDV8bS8UpQMah+7Gg2HbqDas75yxFuZ68nb1DVs5FYHhGR56u9MRLdFwDuuOOOjooakU46qAaVAzXDCOwB6UWmUUE0apT5YdECvWoyafwReo8G6REapMkrx5jMm42gyx570g3M5F3C43Ov7N4HUfpqXMyVSCfCM5h8DSfNSUe4mFt94li+H8K2pVyG+ekrUU970ss7JN3SRypaOR5kvXcfVsISGEg45Eoenq+h2VtUcfsSDnMlH8sKo9/OFj0Gkw5FL+D4hRybBpKVQasZlBqgM/X4wOOnG2YNU/Y79wIlGQsXdy7nbGYKPluGYhUdVdvWm02H7mDZyZ+I/Iaq/lMR+VOWMM9X1Z9Ya6aqejb6fV5E/gR4HTApIlujFZStwPm1fn67EiiMDaUoeQFFLyDhWMQdi8VnvPfHHWaLXhQuPjwvLAAG4lcf9WD8EXqDRuoxur8hmuxL2GQLHl6gFTNES8L0bqXoh514ea5b/l1OX4mYbeFG5ylpZB4QKMScZU/lWYAfXMmzjEbpq1HvAfG9tkPSbX3kq3YOc+i5c1UtUtSLYwl+tKBpW4JIOFlLODa5kofvKX0JG8ey8HwP1fCc28FkrOJXWo5QWB60mkFpb9PJejwzNdfQnfZAlT4nPLMPYNNAglcuh4e+z0bH6lQ7djSbDt3BSjt/fw/4p8B965mhiPQDlqrORn+/A/h3wIPAPcCvRr+/sp75NhJbwlX6pdLnEwZFCDuwclCEohtcFRThTdeP8o3nzxMEih/5DMUd4U3XLzzouZdX23uQhugRGqvJW7YP8pfHp5DIjDnQ8OeW7W197FJd2FyZ8JWbBYnSV+PGzWn+8sTUgoGAAG/YW52mY7ZUjpspF0Ij/6lqWOsB8T1KV/WRyZhwOededfTQeiNAf8ImV/RxJJz8hTVOeP21YR/3rRcuVHYBbUuwgZ0jKa7b3M9TL09T9MJ+c/6g9dDhSTMo7W06V48N0lx5sTVmW+zc0EfRC0jGbGzLYtdIHyICogylYlWPHc2mQ3ew0uTvJQBV/fY65zkG/ImEPYwDfFFVD4nI94A/FJEPA6eBn1znfBvGj906xleeufrQ1x+7daG/S7VBET72tuu5mC1x6lKOguuTjNnsHu3nY2+7nsX02mp7D9MoPUIDNblrpJ8XB3LMFl08PyDuWAwkYuwa6V/XB1hvLJb25a1m/y2djOHmSiBXzjZEw/TVyLre1eecRenVcO3Gfo6em8WfZ/dpSZi+GuUD4m/dMVxJq+WYiR6kq/rIQ8+dJ+kIfgClBk76d29M0RdzeGUqj2UL24eSOHa4k6fATx28hnMzRS5GO9BBADMFlz2j/Yz0J7hhLM2xySyDkYnn/EGrGZT2NB2rx5FUjLPThTUXMBWzwp10VQajfqYUnREtwGAqxt5N/Tx/brYSiXnfWBrbtmr2iTWbDt3BSpO/TSLyz5d7U1U/s5YMVfUEcNsS6ZeAt63lMxtF0hEKS4Q6SzoLl2l+/YN3AE/yf354Hi9QHEt49y2bo/QrVBsUYf/WIX7xvTeva9QyQ8fTED1G9zZMkyVfuX3nED88O0Ou6NOfsLll22DbH/J+x54Rvn9yivlTLgd49Z7Vz8u7dnOap1+eWmANYFth+mocm8xhc2XXsOw3eGwyV1W533bTFhKOcOx8rmJafsPmft64b/XAK8ZsrmY6vo+cHx1zMlPAtoSYI5RK66PPuAVlV6aYJWwfTrBpIMXkTIGdoylAKiad+7cOUPKV/VuH+Pg79y3o//aN9VfCz+/emOZn3nLtVf2hGZT2PB2rx74qFgaXYjBhIZbFNSN9zOTdMDhSKSBmQ0wtRvri7Brt432v2c4LkznmXJ9MPvSb3bMpveZxpdl06HxWmvzZQJqGbUi3PyKCI1oJeV3eQpcl7GJ+/YN38OsfXPnzaumcjLgMi+hIPcZt4fj5HJvSCXYMh6bOx8/nuHNvYtV7Y1YY6n2p9EZzz8FdTEznK2fezRZ9ckWPew6uHj3x2o39nLiQJVv0KpE70wmnqt23kuvDoki/gUbpVXD3gTFOT81xy86RmqNuGl+OmulITZZZHLLdEnD9cPFyrSw+wWG4L05fwuEN142yMZ0kUGUiU+Dg3tGr6tr810v1f6sdN7LcfYaeoWP1OJSq/RjCrYNx8m64TCgivOH6jajCD8cznLmcx7aFO/eO8FMHr2H/1qGq9GPoHVaqcROq+u+aVpI2ZEMqxoVsiYQDVhQe1/PD9LViOifDGulIPS51mPPigCTLsXtjHy+ez1WOPfEjf8HdG/vWv6CLeM+t24EwCtvkTIGxwSQfe+u1lfSVUGAgEWPrUKri21s2aVuNuB1aGywK9HuVtcFy1LP7YXw5aqYjNVlmcXTMDf1xzs+WQrOwVRAgnbBIxBwuZUuVul3x641ebx1OcWD7IBvT4Y5yeTHB1DVDA+hYPd60dYhHj56/KvjfcqTjFpsHU2QLHvvG0iTjDjHbZiDp8JprRrhus2vO3TOsyEouLB23erLcguXi9FRs6cdenP6jN25mOOVgieAF4QRwOOXwozcueZyLwdBIOk6PAEVfuXPvBpIxm9miRzJmc+feDRSrMPt89y3b2L81jW2F+rMtYf/WNO++Zduq9y4XXKWWGKN7N6U5uHeU1+4e4eDeUfZWeWB5yVeu29zPhWyRY5NZLmSLXLe5vypT1+vGBoBwoqtcCSRVTq+G/VuHuPeufdz3k7dx7137qh4AlCeOQ6kYE5kCQ6mYGUCsTEdqssz4dJ6BecHGdm9Ms2UgvmLAFyEMKpRwwvM650o+A8krqtLoIseCn37DLvZuShOzbQLVSnCWsqmZqWuGdaZj9Xj3gTHsKiMt2QK2bZOI2bx2zwb6kzGjJUPNrLTz11b+d9WwbTDBmczVh0dvG1xoYjaQcCi5JSwLyocpBEGYPp8PLXI8L4c+/9DBaxr6HAbDEnScHuGKKeGP7L0SqTaTd9k8sPruedmE8c49G2s2YdyzsY+XLs4tmV4Ni03iajkwuh5T17feOEbCEZ4/l6XoBfTFLG7ckuYN1zVnwclYJtRER2qyzGIz3+s29XNptsjYUIqzl+eYyrmhCbIloFAKlLgjWCjhKQsBQymnsrvteUoybjOUinHPwV38o792/QKfwsW70KauGdaZjtXj/q1D7BxJcfLi0kc+xCxwbKtyPNjujekFptNGS4ZaWXbyp6pTzSzIenDrzmHOzUwyP0aLI2H6fK7fnOZibiraYg/PH1MJ0+ezlOO5CbxiaAWdqEcIJ3CfPnSMqVyJkhdG+xzpj/Nzd9+w6r37tw7x9v2bFphe3nNwV1X6u/cd+/i3//sweTeoHH2Qilnc+47qzqyr58Doekxd7z4wxuHxDNduorLgNJRKVDXhNTSXTtVkeUJ2ZCLDK5fy7BtLc83GfuKOzYb+GEU3ABEsC+K2RSJmMef6JAR2bujjXCYPBAihGWfRsbBEeOeBzfzmhxYGOTODUkOz6FQ9QqjJG8cGOHlp7qrOQwjPeY1ZQq7okU6k2JBy+Nax81yec3nTdaMcncgYnRlqonYv0zZmai48o0jmBWgRCdPnk0o4jPQ5TOc9Ag3NQjekHFKJq78O03kZDPVhReYsGvVqVpXmLUcnMnzj6AVu2jrInXtGmC14fOPoBfZuSq+qyaV89u45uKsqnz0ITeIcC45MzFSOZdm7sY9scfUjF8qmricuzDFTcBlMxrhp20BVpq5gztozNI75O9o3bhmkL2ZzbDLLnOuzeSDBUCrOzu19DCQdHn/pAs+dnWWu5CMivGrXMK/bu5E/fWacyUyekq/4Gup5IGkvGZzJYDCszEPPjvP5R18iW/QW+Mza0fnOcdui4Cl9cZvNiRi3bB/kuYlZNvTFeMN1I8Qcu2qrFIOhTFdN/l46nwWgL24j0RlbJc+vpJeZKXhsHEhx7eaFkcZmCtWdpWUwGKrj0OFJdo70cWD7lU6p2rPj6tl9g3ACWO1kbzFxW/juiSnSSYd0wqbo+nzv5GXu3Lv6UQ/1mLqas/YMjWSxpnZvTLOhP1F5HXdCs82L2QLZYsA1o/0MJh2KXsD52RIXZgsUvIBUPEbaEhxb2LGhL/LnM/2nwVALRycyfP6bL4GEi3wx2yKwQmck2wqjRCvKDVvT3LR1sKLTsaHUgki5UH2/aDBAdWcWdwxzJS/aVdBw5odiiTBXWtgpDaUcVJWC6y/4vZZwuwaDYXkWB5WA6s+Oq+feeqnXdLMc3GJxoIvVaOUzG7qflerX/PeOn8+RcCwGkw7Zos+B7YMo8NzZGeKW4AVK0QvY0Bej4PqgMJg0/afBUAuHDk/i+gGDSYeSH9Aftyj3PiXPxwsCCm7AloFEpQ8xfYRhPeiqyV8q7pCIhf4HAYIlQiJmkYovFMpNW4e4ccvAggiEN24Z4CazamIwrCvbh1PMLtpRr/bsuHrurZd6opTWE8mwlc9s6H5Wql/z35spuJVALumkw8Z0kjv3bsD1lVTCYdNAnJ0jKQIVEjGbfWNpbt5m+k+DoRbGp/OM9scpegEJx8K2LAYSNiCkEzEcy2KkP8aeTelKH2L6CMN60FVLda+7ZgOPHb9I0rGJ2YLrKwXP53XXbFhwXXjG0Bz7tw7WHEXQYDBUTz3nebXyLLB6TDdh7b7C5vwzQyNZrX5V3kbBGbUAACAASURBVEs4FTeIm7cNApBwHO66aazyGUOpmOk/DYY62D6cwvV8jk1m6YvbTOUC/CB0XXrT9RuxLOuqhUPTRxjWg67a+fvY26/npq2D2JYw5/rYlnDT1kE+9vbrF1xnzhgyGJpDPVprpU7rMd2sB9M2GRrJSvVr/ntDfTFQ2Lc5zWg6Yc7oMxgawN0HxrAsixvG0mzoi5OKWdiWsG/LALs3ppfUldGfYT0Q7eBIcnfccYc++eSTC9IWnytkjmYw1IOIPKWqd6x+pQGW1mSnYtqS9sPosTbq0aOp/4bVMHqsDTNmNTSSWvTY0ZM/EbkAvLzM2xuBi00sTqPohufo5Ge4RlU3tboQnUKbarKV9a8X825kvkaPNdCmelxMu5QDTFmWYqVyGD3WwAp6bJf/9Up0QhmhM8rZqDJWrceOnvythIg82Q0rUt3wHN3wDIb6aVU9aGX968W8jd47g3b5P7VLOcCUpZ3L0c10wnfcCWWEzihnO5Sxq3z+DAaDwWAwGAwGg8GwNGbyZzAYDAaDwWAwGAw9QDdP/r7Q6gKsE93wHN3wDIb6aVU9aGX968W8jd47g3b5P7VLOcCUZSnapRzdTCd8x51QRuiMcra8jF3r82cwGAwGg8FgMBgMhit0886fwWAwGAwGg8FgMBgiunLyJyJ3i8gxETkuIp9odXnWgoicEpEfisgPRKRjDk4Tkd8WkfMicnhe2oiIPCIiL0a/N7SyjIbm0io9ishOEfkzETkqIs+JyD9rVt5R/raIPC0iX21yvsMi8r9E5Pno2Q82Me97o+/6sIh8SUSSzcrbUB2t7B/bpX9Yrm1oUVmSIvKEiDwTleUXW1WWKN8F7ZbpvxtHO41Va9WmiHwyKvcxEXlnk8pYs25bVM6aNd3scnbd5E9EbOD/B94F3AR8UERuam2p1syPqurtrQ4JWyP3A3cvSvsE8KiqXg88Gr029AAt1qMH/AtV3Q/8CPDRJrcF/ww42sT8yvw6cEhVbwRua1YZRGQ78LPAHap6ALCBDzQjb0N1tEH/eD/t0T8s1za0oixF4K2qehtwO3C3iPxIi8oCV7dbpv9uAG2gxcXcT5XajMr5AeDm6J7fjJ6n0dSk2xaWsyZNt6KcXTf5A14HHFfVE6paAn4feG+Ly9QzqOpjwNSi5PcCD0R/PwD89aYWytBKWqZHVZ1Q1e9Hf88SDmi2NyNvEdkBvAf4783Ib16+g8Cbgd8CUNWSqk43sQgOkBIRB+gDzjYxb8PqtLR/bJf+YYW2oRVlUVXNRi9j0Y+2oizLtFum/24MbTVWrVGb7wV+X1WLqnoSOE74PI0uY626bVU5a9V008vZjZO/7cAr816foUkDvnVGga+LyFMi8pFWF6ZOxlR1AkLxAptbXB5D82gLPYrIbuBVwHeblOV/An4OCJqUX5m9wAXgf0SmW/9dRPqbkbGqjgP3AaeBCSCjql9vRt6GqmkLPS6ipf3DorahJWWJTC1/AJwHHlHVVpVlqXbL9N+NoR21uJjl/vctL3uVum1ZOWvUdNPL2Y2TP1kirRNDmr5BVV9NaBLwURF5c6sLZDCsgZbrUUTSwB8D/4+qzjQhvx8DzqvqU43Oawkc4NXAf1bVVwE5mmSmFfkvvBfYA2wD+kXkQ83I21A1LddjO9HstmE5VNVX1duBHcDrRORAs8vQ4narF+lkLba07DXotmXlrFHTTS9nN07+zgA7573eQQeaHqnq2ej3eeBPaMJWdQOZFJGtANHv8y0uj6F5tFSPIhIj7CT+p6p+uUnZvgH4CRE5RWjK81YR+b0m5X0GOBOtMgL8L8LJYDN4O3BSVS+oqgt8GXh9k/I2VEc79o8t6R+WaRta2ldFJtrfIvT7aXZZlmu3TP/dGNpRi4tZ7n/fsrLXqNuWf8dVarrp5ezGyd/3gOtFZI+IxAmdKB9scZlqQkT6RWSg/DfwDuDwyne1NQ8C90R/3wN8pYVlMTSXlulRRITQ9+2oqn6mGXkCqOonVXWHqu4mfN5vqmpTdsBU9RzwiojcECW9DTjSjLwJzT1/RET6ou/+bbQm4I1hedqxf2x6/7BC29CKsmwSkeHo7xThIsrzzS7LCu2W6b8bQztqcTHL/e8fBD4gIgkR2QNcDzzR6MKsQbetKmetmm5+OVW1636AdwMvAC8BP9/q8qyh/HuBZ6Kf5zrpGYAvEfr7uISrGR8GRgkjG70Y/R5pdTnNT1PrREv0CLyR0HTiWeAH0c+7m/zsbwG+2uQ8bweejJ77fwMbmpj3LxJ2coeB3wUSzXx281PV/6hl/WO79A/LtQ0tKsutwNNRWQ4D/2+U3rJ+c367Zfrvhn7PbTNWrVWbwM9H5T4GvKtJZaxZty0qZ82abnY5JcrUYDAYDAaDwWAwGAxdTDeafRoMBoPBYDAYDAaDYRFm8mcwGAwGg8FgMBgMPYCZ/BkMBoPBYDAYDAZDD2AmfwaDwWAwGAwGg8HQA5jJn8FgMBgMBoPBYDD0AGby18GIyC+IyMfXcN/fF5HfWOa9bP0lMxgMKyEiXxKRZ0Xk3laXxWAwGAyGZiAivoj8QEQOi8ifls/DMzQXM/kzGAyGJiEijohsAV6vqreq6mdbXSaDoR0RkWER+SerXLNbRP5OFZ+1W0QOr6EMp0RkYw3X3yEin6s1H4Ohh8ir6u2qegCYAj7a6gL1Imby12GIyM+LyDER+QZwQ5R2u4h8J9pJ+BMR2RClf0tE7oj+3igip+Z91E4RORR91qeWyetfisj3os/9xQY/msHQMYhIv4g8JCLPRCuY758/UIwGgd+K/v4FEfmCiHwd+B3g68DmaPXzTSLyDyOdPSMifywifdF9Y5Gen4l+Xh+lf0hEnoju/68iYrfmWzAYGsowsOLkD9gNrDr5axaq+qSq/uzidBFxWlEeg6HNeRzYDsuPVyNLtS9H49UXReTTUbotIvdH/e8PjRVNbZjJXwchIq8BPgC8CvibwGujt34H+FeqeivwQ2DJydwiXgf8XeB24CfLopuX1zuA66PrbgdeIyJvXo/nMBi6gLuBs6p6W7SCeWiV618DvFdV/w7wE8BL0ernnwNfVtXXquptwFHgw9E9nwO+HaW/GnhORPYD7wfeoKq3Az6hjg2GbuNXgWujRY5fi37KA733z7vmTdE190Y7fH8uIt+Pfl5fTUbRQPK+6LOfFZGPzXv7Y9Fn/VBEboyuf52I/JWIPB39Li/EvkVEvhr9vWDRR0Runrdo86yIXL9u35TB0GFEi5ZvAx6s4vLbCfu9W4D3i8jOKG27qh5Q1VuA/9GwwnYhZjWqs3gT8CeqOgcgIg8C/cCwqn47uuYB4I+q+KxHVPVS9DlfBt4IPDnv/XdEP09Hr9OEk8HH6n0Ig6EL+CFwn4j8R+CrqvrnIrLS9Q+qan6Z9w6IyC8T7nSkgYej9LcCfw9AVX0gIyI/RTiR/F6UXwo4X+/DGAxtyCeAA6p6u4j8LeBngNuAjYT1/7Homo+r6o8BRLvmd6lqIZpcfQm4Y+mPX8BHgD3Aq1TVE5GRee9dVNVXRyaoHwf+AfA88Obo2rcD/x74W0t87muAN6pqXkQ+D/y6qv5PEYkDZsfe0IukROQHhLv2TwGPVHHPo6qaARCRI8A1wHPA3khXDxFa1BiqxEz+Og+t4VqPK7u7yVU+Z/FrAf6Dqv7XGvIzGHoCVX0h2ol/N/AfotX9lfSWW+Hj7gf+uqo+IyJ/H3jLCtcK8ICqfnIt5TYYOpQ3Al+KFkEmReTbhJYvM4uuiwG/ISLlXfF9VX7+24H/oqoegKpOzXvvy9HvpwgtbgCGgAeiCaZG+S7F/EWfx4GfF5EdhLv9L1ZZNoOhm8hHCzpDwFcJff4+x8r9Z3He3z7gqOplEbkNeGf0GX8b+OmGlryLMGafncVjwN8QkZSIDAA/TjiovCwib4qu+SmgvAt4inDlEeB9iz7rLhEZEZEU8NeBv1z0/sPAT4tIGkBEtovI5nV9GoOhQxGRbcCcqv4ecB+hWeYpruhtqV2A5RgAJkQkxkITzkeBfxzlZ4vIYJT2vrIWIw1fU8+zGAwdwIrb6vO4F5gk3CG8A4jX8PnLLayWB54+VxbMfwn4s8jk+8e5erBaprLoo6pfJDT5zgMPi8hbqyybwdB1RDt5Pwt8POr7TrH8ePUqIv96S1X/GPi3hH2woUrM5K+DUNXvA38A/AD4Y+DPo7fuAX5NRJ4ltIP+d1H6fcA/FpG/IjSVmc9fAL9b/ixVnW/yiap+Hfgi8LiI/BD4X4SDVIPBEPoePBGZr/w88MvALwK/LiJ/TjhQrJZ/C3yX0Pzl+Xnp/wz40Uh/TwE3q+oR4N8AX4/0/giwtd6HMRjakFmu9DmPEfr62CKyCXgz8MSiayDckZtQ1YBwIbRa08qvAz9TDsyyyOxzKYaA8ejvv19NBiKyFzihqp8j9HO6tcqyGQxdiao+DTxDGMtipfHqUmwHvhX1wfcDxhqmBkS1FitCg8FgMBgMhsYjIl8knCR9LUp6F+EO3S+r6h9EOwaHCAeL9xOakf0xMAf8GfAxVU2LyG5C39wDy+TjAJ8mDOTkAv9NVX8jijh4h6pejIKi3aeqbxGRg4T+9ReAbwI/paq7ReQtRD6IIvILQFZV74vy+CTwoejzzwF/Z5F5qcFgMDQFM/kzGAwGg8FgMBgMhh7AmH0aDAaDwWAwGAwGQw9gon0aDAaDwWDoekTkncB/XJR8UlX/RivKYzAYDK3AmH0aDAaDwWAwGAwGQw9gzD4NBoPBYDAYDAaDoQcwkz+DwWAwGAwGg8Fg6AHM5M9gMBgMBoPBYDAYegAz+TMYDAaDwWAwGAyGHsBM/gwGg8FgMBgMBoOhBzCTP4PBYDAYDAaDwWDoAczkz2AwGAwGg8FgMBh6ADP5MxgMBoPBYDAYDIYewEz+DAaDwWAwGAwGg6EHMJM/g8FgMBgMBoPBYOgBzOTPYDAYDAaDwWAwGHoAM/kzGAwGg8FgMBgMhh7AaXUB6mHjxo26e/fuVhfD0KEUXJ9M3sX1lZgtDKViJGP2gmueeuqpi6q6qUVF7DiMJnuXavRUL0aPtWH02DqaoYdWY/RYG0aPhuVYj/aiFj129ORv9+7dPPnkk60uhqEDOTqR4QuPnWQoFWMg6TBb8MjkXT7y5j3s3zpUuU5EXm5hMTsOo8nepFo91YvRY20YPbaGZumh1Rg91obRo2Ep1qu9qEWPxuzT0JMcOjzJUCrGUCqGJVL5+9DhyVYXzWDoOIyeDIYrGD0YDIZqaUV7YSZ/hp5kfDrPQHLhxvdA0mF8Ot+iEhkMnYvRk8FwBaMHg8FQLa1oL8zkz9CTbB9OMVvwFqTNFjy2D6daVCKDoXMxejIYrmD0YDAYqqUV7UVH+/wZDGvl7gNjfOGxkwALbKzf/9odLS6Zods4OpHh0OFJxqfzbB9OcfeBsa7y+wGjJ0NtdLsmjB4MBkO13H1gjE8fOsZUrkTJC4g7FiP9cX7u7hsalqfZ+TP0JPu3DvGRN+9hKBVjIlNgKBXrOmd8Q+spO3Jn8i5bh5Jk8i5feOwkRycyrS7aumL0ZKiWXtCE0YPBYKgFSwQARRe8bhRm58/Qs+zfOmQ6Y0NDme/IDVR+Hzo82XV1z+jJUA29ogmjB4PBUA2HDk+yc6SPA9uvtBeZvNvQNtHs/BkMBkODMIEfDIaFGE0YDAbDFVrRJpqdP0NddLvvhqG7aXT93T6cIpN3K7sbEDpyJ2zhs4+8YHRj6DmW08T84Ab16tL0SwZDd9ALWm5Gm7gYs/Nn4OhEhs8+8gIf/6Nn+OwjL1Tte9ELvhuG7qUZ9ffuA2Nk8i6ZvEugSibv8srUHGczBaMbQ0+ylCYyeZe7D4wB9evS9EsGQ3fQK1pudJu4FGby1+PUU6nMQbaGTqYZ9XepwA9jgwmuGe03ujH0JKsFQ6lXl6ZfMhi6g17RcqPbxKVY1exTRPYB/xkYU9UDInIr8BOq+strztXQNtTjfD8+nWfrUHJBmvHdaCz16FFEfhv4MeC8qh6I0n4B+IfAheiyf62q/yd675PAhwEf+FlVfXi9n6eVNKv+Lg788PE/eobRtPF56hbWqsle1uNKwVDq1aXpl3obo8fuoZe03Mg2cSmq2fn7b8AnARdAVZ8FPrDaTSLy2yJyXkQOz0v7BREZF5EfRD/vnvfeJ0XkuIgcE5F31v4ohrVQj6OpOci2JaxJjxH3A3cvkf5ZVb09+il3bDdFn3tzdM9viohdZ9nbilbVX6ObrmOtmrwfo8erqFcfRl89j9Fjl2C0HNKI76GayV+fqj6xKM1b8sqF3I8RUttTT6VazU7Z0BDWqkdU9TFgqsp83gv8vqoWVfUkcBx4XfXFbH9aVX+NbrqONWnS6HFp6tWH0VfPY/TYJRgthzTie6hm8ndRRK6F8ORBEXkfMLHaTUZInUE9lcocZNsS1qTHVfinIvJstFu/IUrbDrwy75ozUVrX0Kr6a3TTday3JntSj2Xq1YfRV89j9NglGC2HNOJ7qOaoh48CXwBuFJFx4CTwoTXnGArp7wFPAv9CVS8TiuY7865ZVkgi8hHgIwC7du2qoxgGuFKp5oeQff9rd9TU0faaEFvMeuvxPwO/RNhR/hLw/wE/DcgS1+pSH9DJmmxV/TW66SrWU5M9rccy9erD6KunMXrsIoyWQ9b7e1h18qeqJ4C3i0g/YKnqbB351S0kVf0CobC54447lrzGUBtGXJ3DOusRVa2EixKR/wZ8NXp5Btg579IdwNllPsNosgvohfOUGsF6arIX9GjqmaGRGD02DqPd7mFVs08R+fciMqyqOVWdFZENIrKmSJ+qOqmqvqoGhE65ZdPOqoXUzqz1vDyDoVrWU4/R522d9/JvAOUATQ8CHxCRhIjsAa4HFvtRGLqEXjlPqRGspya7XY+mnhkajdFjYzDa7S6qMft8l6r+6/ILVb0cRen8N7VmJiJbVbVse71YSF8Ukc8A2+hAIZWFMZSKLRBGL9onGxrKmvUoIl8C3gJsFJEzwKeAt4jI7YQ77aeAfxR97nMi8ofAEUJn+Y+qqr/Oz9I1dPqKaD1HvhjWpslu0GOt9d7UM0MT6Fk9NpJGarfT+89OpJrJny0iCVUtAohICkisdlOvCanVnZoRT8+wJj0CqOoHl0j+rRWu/xXgV9ZUyh6iGxZ+euk8pQawJk12uh7XUu9NPTM0gZ7UY6NplHa7of/sRKqZ/P0e8KiI/A/CSdtPAw+sdlOvCamVnZoRT0+xJj0aGkerF37Wg+3DKTJ5t1J26M3zlNZIT2pyLfXe1DNDE+hJPTaaRmm3G/rPTmRVnz9V/TThpGw/4Tl8vxSlGebRysMo54vHEqn8fejw5Oo3GzoKo8f2Y3w6z0By4Tpap+1mmPOU1k6vanIt9d7UM0Oj6VU9NppGabcb+s9OpJqdP1T1a8DXGlyWjubuA2N84bGTQFhxZwsembzL+1+7o+F5G1Oa3sLosb3oht2Meo986XV6UZNrqfemnhmaQS/qsdE0Srvd0H92IstO/kTkL1T1jSIyy8JjFwRQVR1seOk6iFZ2akY83Y/RY/ty94ExPn3oGFO5EiUvIO5YjPTH+bm7b1j2nnb00TVHvtRGr2uymgXP5er5avWsHfVhaG96XY/NoBF9RLUbJ6ZNWF+WNftU1TdGvwdUdXDez0A7i6gXj1swpjTdT6fqsVewJDyqVKMxR/n1UpiQ2d1Br2uyvOA5lIoxkSkwlIot8DNfaz03+jCshV7XY6eyWjsCpk1oBCuafYqIBTyrqgeaVJ66aGXgk1bmbUxpeoNO02OvcOjwJDtH+jiw/YreMnl3WYf1Q4cnmcoW+O7JS+SKPv0Jm+s39fe8g3snrux2qybr+V+U733kyCQxW7h52yCWxKoO5GACQBjWSrfqcb1pt7Z2tR3FldqE8u92eZb5tNv3PJ8VJ3+qGojIMyKyS1VPN6tQa6WVnUa9eddbSerZjm/nCmq4QqfpsZU0s07X6nP7nZcucnRilrhj0RezKLkBT5/OUHADuGtfQ8rY7nRqxOJu1GS1/4ulrvv0oWNYIuwc6SPQANTi+6enefWuYTYNJKvyRS/r6WK2wPHzOWYKLgMJh6G+2Ir3GQzdqMf15OhEht99/GX+4vglNvTFuGnbQEe0tcv1sc+dzXB6aq4t+41279OqCfiyFXhORJ4AcuVEVf2JhpVqjbQy8Ek9effqjqVhTXSMHltFs+t0rT63r0znsSwhEQut7hOW4AXKK8u0Fb2wONPhuz1dpclq/xdLXTeVKwFwYPsQQ6k4Bdcn4QjHL+TYNJCsyhd9+3CKUxezHJvMknAsBhIOMwWPmbzH0YkM+7cO9YQmDGumq/S4XpT7xRMXsmxIhUP/p09neM01w5Xo8O2qoeX62JmCx44NfW3ZbyzXjv7e4y+zcSDZ8rarmsnfLza8FOtEKwOf1JP3ocOTBEHA0YkZZgoug8kYWwYTHbFjaWg6HaPHVtHsOl1zpF8FSxTPV2xL8APFEl0YoiCiVxZnOjxicVdpstr/xVLXlbyg4vd63eZ+nnp5mrgtzEZ+6NVEwL77wBj3/sE5ABKORdELANg3lq6YefWCJgxrpqv0uF6U+0XXV9IJG4n80o+fz/G6PSNt3dYu18cOpZy2PSZiqfax6Hn85fEp3nrj5pa3XdWc8/dt4BgwBAwCx6K0tqOVgU/qyfvIRIbnz81ScH0GEg4F1+f5c7McaYIzqzljpbPoJD22imbX6Woc1uezY6SPob44ji2U/ADHFob64uwY6bvq2nY7w7NRAbVaeU5qvXSbJqv9X8y/7mK2wHdOXGIiU2AqV+JitsDGdJLXXDMcDjKFVXVRZv/WIXZsSDGYdMgWfRIxm1fvGuaajf2MT+fbThOG9qLb9LhelPvFdNKpLKgkHIuZgtv2be1yfexNW4fatt9Yqh09cnaWDX0L264gCPjUg0eaHqRy1cmfiPwD4AngbwLvA74jIj/d6IKthVoHYe2SdybvISIkY/aC35m8t+q99dLJg65epJP02CpaUaf3bx3i3rv2cd9P3sa9d+1bUff3HNyF5ysDyRh7RvsYSMbwfOWeg7uuuradFmcaGXGtkyMWd5smq/1flK87dTHLk6cuk8m7DKcc4rbN4y9NcX42T8y22bspzWf+9uq6mM/N24a4adsQd900xsG9owtMRttJE4b2o9v0uF6U+8XrNvVT9AIKrk/B9YnbVke0tUv1se3cbyxVtstzLvu3DlSuuZgt8Py5WaaypaZHMa3G7PNfAq9S1UsAIjIK/BXw240sWCey1qArg0mHmTk38o+IzFw0TG80rTyc3rAmjB5Xod3r9Htu3c6Zy3M88PhpXrkcOqvfc3AX77l1+1XXttMZno00p+3wiMVdpcnl/hcAn33khQW+Kh958x4+9eAR/ABG0jFevWsYgOfOzvDMKzPcddPYmv6PK2n40OHJttGEoS3pKj2uF2VNDaVi3L5ziKMTs0znPd503SgfOnhNp7S1C2hVv1GNz/FSZXvjdaPEHbtyzfHzOUSEkfSVnUBojttVNbOLM8DsvNezwCuNKU59dKp/zM3bhuiL2ZybLZIteKSTDteM9LFnU7rheXf4oKsX6Rg9top2r9NHJzI8fy7HO27aUhnYPn8uVwlmMZ92msg22i+vgw+Z7zpNLv5frNS37hrp4849IwvOtnzzvgQTmQL3rjF67WoabhdNGNqSrtPjejBfU9mix1tu2NwVgZKa3W/UMs9Yrh2FsO26mC0Ssyyu29RfuaZZVgzVTP7Gge+KyFcIQxK8F3hCRP45gKp+poHlq4lODV4SDvDmuGnr4ILOrJat63qin3XwoKsXWbMeReS3gR8DzpfPQRKREeAPgN3AKeBvq+rl6L1PAh8GfOBnVfXhBj3TutPOdbqWdqqdJrLttAvZZqxJk52kx5XqbKPqxXIabidNGNqSrtfjWmnnfrFTqGeesbjtGk0n2DKQYNPAlUXVZvWp1Uz+Xop+ynwl+j2wxLUtpVMjxtXbmXXqjqdhTdSjx/uB3wB+Z17aJ4BHVfVXReQT0et/JSI3AR8Abga2Ad8QkX2q6tdZ/oayniHga/msh54d54HHTzM5U2BsMLmsGSc0vp1qVBj8dtqFbDPWqsn7aTM9zq/HAwmHXRtS9CVjPHc2w207hhZM8Mp19kdv2Mjnv/kSrh8w2h9n61ASy7Lqrhcr1eNGDGLN8RFdQ0fqsVz/jkxkyOQ9BpMON28bMvVwBZbSLNR+6Hst2l9r/704jw+/cTdAxY++2X2qqC4RX3w9PrgJqyh33HGHPvnkk5XXn33khatWIMuv12p+0gn06nM3AxF5SlXvaHU51gsR2Q18dZ4mjwFvUdUJEdkKfEtVb4j0iKr+h+i6h4FfUNXHV/r8xZpcT1ZroOcvgsxvSNeyCHJ0IsOnDx1jKldipuAyV/RB4O03br7KP+KhZ8f51a8doz/hMJCwmS365Ioen3jXDUtOAGvRa63PtJ7fwXLfSysHyEaP66/H8oTv5IUsmbzLaH+MDf1xzkwVCFDeeN0oE5nQJeHOvSOVVepM3sX1fObcAN8PODdTYCrn4ljCx9527bKLH9XUoUbX46XK1Mz8ugWjx/XR40PPjvP5R18iV/KYK3kMJBySMYd9Y2ls22qbelhr+9/I/mIpzb58KYclws6Rvqp1XKv21zLeXikPqH2yuhy16LGREUXup8mrKHcfGKsM2EpeQNyxGOmP83N331D1Z9RTWeu5t5adg8WMT+dxLDgyMVPxGdy7sY9ssfHRQg0dz5iqTgBEHdzmKH078J15152J0q5CRD4CfARg166rI1auB0cnMtz38AtczBYpej4vTs5yeDzDx995JYLgeph9lzX84A/GuZx3GYoaakvCg9ifODXFnBss6BgeePw0/QlnXr5WJX0pDdeyg1brMzXa9N2YDTWcpurxNgyqrAAAIABJREFUv377RT73aLhrV/IVAS5mXeZcn1TcwQ+UH47P8JYbNvH4S1M8d3aGN+9LVOpsKmZV6lvZRz2Td3lhMsd7lsivWiuVZrtwdKrLiKHhNFyPRycyfP6bL4GAHwQIwmzRJ+ZYnJstctPWwbaohw89O86vPRxOfCyBjf2Jq/rg+TTaIm0pzU7lSgAc2D5USStfu1yetWp/LRYwK+VRSxTk9aRhkz9VfSxaRZnPe4G3RH8/AHwL+FdR+u+rahE4KSLHgdcBK66iLEXZ6bx80Ox8J/TVqKey1nPv/J2Dzek4M3mXX/3aMYCqJoBxW/jGkUmyJQ8/CA+OPnUhy9tvqs5nsNWr+Ya2ZCnhLGkmoKpfAL4A4crmemS+uE6+eG6GkxdzDCQdBpMxil7AyYs5fu/xl/mVv3krsLo5Ri07hzMFFw0CxqfzWCIkHAvHEi7PuZUzxcr3Ts4U6I9bvHJ5rrLoNJxymJwpLPlstZh512pi0qmm74ZVWVc9Hp3I8HuPv8wXn3hlwYco4AXKbMGnfzCGJZAtemxMJ7lz7waeeWWGiUyhUmd/6y9OMZqu/tiFagdaza7HRjeGGlk3PR46PFkxmb6YLRJ3LPwgIFf0idleTfWwlrHc0YkMv/v4yzz9yjSC8KqdQ7z+ulFemMxddf/RiQy/9vAxprIuqbiFApOzRXIlb0EfvPi5GrmgspRmS15QGfuXWe37q1X7a3HTasf2ZdXJn4i8QVX/crW0KmnoKsqhw5PsHOmrzPohXIWstrLVU1nrufeBx0/j+T7jl0uUfCVuC+mEvezOwWJOX8pxKVfCsQXHCncoLuVKnL6UW/Ve4y/YWayzHgEmRWTrPLOW81H6GWDnvOt2AGfXmEdNLFUn//LEFJvTMZKxMExyMmajqjx+4lIl/PzpqTlcz2f3xjQXswWOn89xMVtkNJ3goWfH+cbRCyvW8/ka9gJlruQTnoWruL6PY0Ffwrmq0R5IOJy+NEcqbhO3LXxfOTNVYNNAnM8+8sKSPhwnLmR5/MQlJmcKnB5Msm+sf0m91RpMwwRlaT7rrMmG67Gsr8dfurDkaFUBVSiUPCzLImFbPHo0HOjYlvAq+4of0kr1bamBaLWDoO3DKU5eyC6IgL1lINGwCNhGN91Dp+lxfDrPaH+coheQcCw8P1zAz7s+O6KdpWrqYVnXQRAwkSnw9OnLPPzcOT721qtNsMtuDacvzZFO2Cjw7Rcu8I3nz3Pn7hGu2dhPJu/y6UPH2DaU5OlXMpzLFEnFLBw7tGwRlLmix8NHJjmf/d5VfdxSWi+4Ht89eanSJuwb619yslkNS2k27lx9dPlq399atF+rBUw7ti/V7Px9Hnh1FWn1sC6rKOPTebKFEo8cmSFb9EgnHG7ZPki2GK+qEPXMzuu59/jkDJk5j4DwoUsezBV9it5MVeV+fjJLOuEQqOIFSty2SDrC85PZVe815i4dx3rr8UHgHuBXo99fmZf+RRH5DKEp9vWEB+c2nKXqpCUwU/AYmTf2K7g+F7OlyqHjJdfnOycu8YNXprk85xKzLQYSNlsGEnz+0ZfYMhiP2ogrg8n59Xy+hjVQ3GBhudwAVPWqRnvXhhSnLuXwA8US8INwslhwfU5dzHL60hwiwsycS1/M5lNfucjLU3Ns6IuvutNfqyl7rSYpZtd/XVhPTTZcj2V9nZ8trXjdVN7DERhMhYsbliVsSDk8fmKKczNFPv7OfcvWt9fuHl5yUbEvZjFb8FYdBO0b6+fL3z9T8aOdybtMTOd5Z4MObzbBjK6mg9uGjtLj9uEUrudzLBrHha4NYFvCloFE1fXw0OFJgiDg2GSWhGMx2h9npuDx+UdfYu+m9FVm1VO5EumkU1lQdWeK+IFybrbInk1pSp7P6UtzTOVKBBp2hnOuj2NbxB2LQJXZokcq7lT6uPOZPKcvzfEnT48zlHQouT7ppMPxCzkuzBS4nHfZnE6wdSjJqYtZvvz9M7xq53Blsnnfwy8wNpig5OuqdW4pzY70x7FEagqg0gztt2P7suzkT0QOAq8HNpVD5EYMAvbSd61KQ1dR5gou3z52ASJTzymvxLePXeBHb9i8yp0h24dTPHN6ihcv5CqTx+s39XPbrpGq7l3rSmW26DHfuVEJo95U67Pn+gEJR4g5V/6drudT9IMV7gppx+3oaungzqlm1kOPIvIlQrPrjSJyBvgUYaf2hyLyYeA08JMAqvqciPwhcATwgI82K9Ln+HSemA3fOTHDTMHFFkGDgEuFACXLQMIhW/S4POeSjFk8eWoKXxVbBNcLuJQrRT56QbiLngyvf/pMnqRjUXB93EB5Dtg8nllyF2OxdsqrTAU3uKrR7kvGeON1o/xw/Mqi01BfChDOzRRJxmySMZuC63NutsjLl+bwA63aR7AWU/ZaTFLMrn991KvJVumx3OZXE+tNRHB9pS/usGkgQX/CoeD6nJ7K8akHj7BrpI++mEXJ85nIeCRsIRWz+I0/e4nAV2KOha/KYDLGlsEEikUm7wIrD4JemMzx6l3DnJspMlMINXnDWHpZX8J6McdHLKQT24ZO1WP5qK8bxtJMZArMlTzmSgHXbepnz6Z01eOa8ek8E5kCCcciGbOZK3nM5EtM5z0+/MCT3LxtkJu2XtmVK3kBA8lwzDhX8pgpuPhBwIkLWa7f3M/xCzlKvs8Lk3kCBc8PQMNrwWYq5xJoONYsuD65ksdM3sOxhe1DKWYKLo8+P0kQKAOpGJ6v+L7i+gFTuSLnZor0J5zKZNP1fU5eDK113rxv06p1binNlhdFa9FxM7Tfju3LSjt/cSAdXTM/RO4M8L415tfQVZRjk7N4ATg2WEJYYYMwvRr64sLjJ6eAcCsy3FkocvC60VXvrWel0lumyVgufTE7N/Rx4nwWsXwCFSxRNIC9m1efeNa7HV1PoJp66MTOqU7q1qOqfnCZt962zPW/AvxKDWVcFxK28PiJKQaSDpbA+OU8bqAkHaHkBZzO5emL21iiBIFyZjrP9qEkZy/PMVsMRTPaHydQJe8FPHMmQ9HzyRU8nL4YJT8c9XqBLqg381fngnlzP0sAhQDwfGW2EJqSA/MmjQ43bJkfAXSCkf7Qd3AgETazCcciW/AoeD7OogncQMJe0kdwLabs1ZqkmF3/uqlLk63SY7nNF2HVCaBtCQnH5prRPiSqs54fMDlTIFC4c89IZQL39v2b+PL3z3IxW+SVqdD/NeHY7BpNUXB9nj83y67RPv75XftWHQSNT+fZNdrP7o1X+rBAtaGLkiaY0RU6tG3oSD3OnxjEHJuD125c00L29uEUT5++zGh/nLmSx9npAp4foKpkCx6nL83RF7P5wmNzFF2PqVyJczMFHEtwo8VO2xJsEZ56eZqpbIHLc+FkbiBhk8kHuAqFUhgcShX6YkIATGQKWBK6HQUBnM8W8XzFsSxcAlw/dKPYMZwknYxx/Hwu6httsoVwk+P4+RzphI3rK5ZIVXVupbNAa6EZ2m+39mXZyZ+qfhv4tojcr6ovi0i/qq7uRBbRilWUi7kScUfIuwGBhoO2VMziYm5l85Yyf/rMOVTDAV4AWIBjC3/6zDn+0V+7fsV7X5jMMZCwePF8Fk8VR4TrN/dVtVK5XP9bbeSMH79tC5/5xnEIFFHFE0CEH79ty6r31rMdXW+gmnro0M5pzdSrx05CgVzR5dxMnkIpwBKIxyy2DCbJe6G2+5MOMU9QFRwLpvMueS9AUHwlMvsUYrbF5EwhcgSHyzm3om2JFojKAVzuvWtfpRMWuaK+YJ4QBdiYjnPyQpZ7f/8cO0dTbEonOH4+S9ELKHo+CcfGDwK2DiWRmSIF1ycZsyl6QWhm49hkCy7Pnc3g+krMFgYTDjtG+4GFO9pHzs5w285B4Orz1Zaj2h3xTt71bwc6VZPlNj/lCDl35V6m4AUE6vLypbnKzt/EdB7XDxdOvntyius29TOUivFfvnWCXMmv7CaIQMkPOD9TZDDpcDZT4NSlOTJ5j3sO7lrxGKLlFiUTtvDZR17gubMZZgoeQymnspvRje1+q+jEtqFT9QirTwyqadP3jfUzPedyYbZIEJTNNANUwfWVCzMFYrbFtZv6OXJ2hpglzJUCMnM+8+1cYpZHwhHOZ8Mdei8Id+tSMRtxfdwABhMOjiX0xW3OZgr4vqKixC0h7lhhf6tKtFlIKm4jhNZso+kEMwWXwWSMTN5lMNL4TMElboWWOmXavc6tRjtbp13tHXk120TkCHAUQERuE5HfXO0mVf2gqm5V1Ziq7lDV31LVS6r6NlW9Pvo9Ne/6X1HVa1X1BlX92loeJgggVworuxCuauZKwYJV/JU4cTEXrjpYELMEywpFc+Li6u3HN5+f5IXzOSwL+mIWlgUvnM/xzecnV713OSuuagOVzpWUg3tGGE0nSMRtRtMJDu4ZYa60+vSxvOo0lIoxkSkwlIpVvXs2P8S9ZYUhv/sTDg88frq6gtfB+HS+Msgo0+kNRZWsSY+dxEvns8zmvVDHAipQcgPmSl7F/Gs4FWcgGSNbKHF+tsT4dIG8G1AKQt2X/IC86zObdyl5ASXPR6Pdu2gjD1/B8/0F9Wb/1iHuvWsfmwcSS5ZNBL7z0iWeHc+AQGbOJRudL1RwfSRyXx5Nx8kWfbYMJii4Ppm8S9EN2DKQoD9uMecGzBV9XC/8fW62yIFt6cqOdtmPMWYL3z1xmYvZK7uCK+3ML76/vLN5dCJz1bXbh1PMFhaalrfaCb1D6ShN7t86xOVsftWJX5kgUDL5Ei9MzvK9k1NM5T1cL2Ao6VB0fb5/epqC63H6cp50IjRxti3BEkFQprIlTl/O4wdKwpHKIuFDz44vm+fdB8bI5F0yeZdAw4nmK1NznM0UOHkhy5mpPDN5l9OX5jh1MbtsHTesjQ5vGzpKj6uxXJv+0LPjfPaRF/iHv/M93vO5P+eXvnqUmE1kghmQLQWVhUvbgpzrc+JiluPnszi2zS07hgiiPrGMA8yVfE5fvtLfhBGAIVv0cWwhGbN4581jDKVilYlfQLnfVQJVCm5A0VM8XxEE3w/jUWRLPjOF8BzDLYMJckWPLQMJAg1jVWSLPtdt6q/k3UF17ipq6YtbQTUBX/4T8E5C00xU9RkReXNDS7Vmwmp8dZdW3eyvFIb2q/jUCIKPVtJX4uTFHH4QrpIUoxJIlL4ag0mH6fzV/n2DyepO4hifznPLjmFu27mhklaLicxat6MnZwpsTi8MprOc+dp6047Rk5pEB+mxeuavkD03MYNlCUN94cqgKnhBwHTeQyyL8cvhxN91PUr+0jvkCcfC9UMzlbQQ7byFGpt/vR9cHcAFYCrnLllOXyHvhuGkNw8kmC16MFtkQ3+CoVSMH9kbmohn8i4lz2fTQJI5169EQtuzKc2RiRkSjuAHWrFQsC3heyenGUgmFuxo37xtkO+emOLw+MLz1Zbbma9lR7wdndA7lI7S5EPPjvOtF6dWvzAi5oR+f14Q9mnlXfNLuRJ9CYeEY3F0YpaYLZXIbemEQx6Pgh/go8Qs6Is5pOJ2pU6uFM16KR+Z0mCCuGOH+olZV/xoZ4rsb5Oz0LqFDm8bOkqPq1Fu00uez3dPznBxtsD0nMvDz02wc7iPgueTLfqUXB+iY4kCLUeqBjsy73Z9RVCOnZtlQ3+cJ18u4QUBkaEYloT9ZskLEA37SSsSdNk83A/CAFDfO3mZy3MlLJT5PaVI6BcPUVshgucHuH6AYwm2AgpDfTF2b0zzjpvHKtE+D2wb5GymQNyxw2AynVXnrqLdrdOqml2o6iuycBuqKYEfamWuuPQkbbn0xcSssHKXfYIgrMCxKvZH8yX/qkGoRumrsXOkj+nxmQUhTzVKr4btwymeeeUyL5zPkit69Ccc9m1OL5gMrsRa/fbGBpPM5N1KwAqA2aLP2GByhbvWhw7vnOqiU/RYLYsPcA930CBfFFIxm9mCh+8rvkDCtshquDM/MeehhJ1bwgl306AcMTc0F005wnBfnAuzhSUniQVPeflS7qromYXFoT4jFLiQLVY6ym3DfcwWvNDPt3ClGxxIOkxkvCVN2+7/q1MMJB3izpUYBCXP5/Tl/FXmVpsGkrx2zwaeOZNZcL7acp1HLeZa7eiE3ql0kiZ/81snqr7WESh6emXSZwkDcYu8pxS9gEvZEhvTcabzHq+9ZgMvTGZBhA19MTJzLp4fRsAVwiOIRvrDxcJqFgkXL0p+/I+eYTTthAHVEqF2Eo4V+g71htVH0+j0tqGT9AgrmweOT+dxLPjBKxlUlek5lznXI/CJ+jUJx5quj69X3BnKeGUzF8L+K1CYLYTBWlS1cr1q2O+Vh782VyaAIuHun6dww1iaU5fmmC14xGyLpEDRCyd3fQmLfCmAIAxPpii2He4mxh2L0XScz37gtgX1aL5b1OLvoZPq3GLa3XS6msnfKyLyekBFJA78LNF2eruxnLqrVf224RQvXZxbkKZR+qp5L2NBs1z6fFJxh21D4ap+yQ+I2xYDSYdUvLqdv7648MSpKeK2TV/MYq7o88SpKQ5eu3qU0nr89u45uKty7UDCZrbokyt6fOyt11ZV7nro9M6pDjpGj6tRbugffGacyzmXscFw1yvh2BRdn7wX0B9pYSbvIiJsGkxy45YBLs25vDwVNqK+Upn4lYnZUjE9U5TCMrv3Yed2tX31SrIVQhPzc5ki14z0kY7KV+0udMwWSp5PwQ3wAsWxJPSPUHjubIYXJ2c5sH2Qjemw40jGHN5x05YVfaTK1Loj3m5O6B1KR2nyxcnqjhCyJPR5L3hRlFkAVWYKfjSwAy9bZCDh8KbrRvnQwWsqx5JkC14YnVbDwBClaHA4VwwDTWSjRcqjE5maz/VKR+amZT/awWSsV6w+mkoHtw0dpceHnh3n84++FC2OxCi5Pp8+NM22oSRFXzk2McP4dJ6C61FwQ58mVXAsyHsBg0mHy7kSkUxXDeIkhBZqMdvCnTdAnTdHBMC2IeHY5IpXfAK3DSbYMtzH5TmXy3MufhD6rCcdm4Kn5EthebzgSlA11wtQgVfvCq3TVou82aF17ira3TqtGp+/nwE+Snjo+hngduCfNLJQa2U5F7kqXefYOm/HSpZJbwSDSYfBZJy9m9LctmOYvZvSDCbjVZt9Pvr8RTanE/QnbNwA+hM2m9MJHn3+4qr31uO3955bt/OJd93AYCrG+WyJwVSMT7zrhqZE+4Qr/ln3/eRt3HvXvq5pNFahY/S4EvPt4WcLHkEQcHpqjhfPZ4nbVuiLoLBnNJxcBQob+kI9bOiPc3DvKPYKwnb90Fzb9QPSiRgrnXqyc6SvEr2zjL1Cy2iJYNuhP9NTp6e5nCtydjrPi5Oz3P9XJ/n9J05z5Gx4hMRS3LA5TbbkU/IDLKDo+WRLAYNJm9t2DJEteDz+0hTnZ/MVv6flPmsxS/lK1XK/YU10jCaPTmSowhgFCPVXnvhBtCAS+Qgp0U4gMF1wef11o+zfOsT7XrOdRMzmYq6EF8DW4RR7N/VhWcJc0efM5Xw4mAyUfZvTNfnAlOv2loEExejIlYIb+tWaOm6YR0fp8fPffAkERvpjFL2AZ89M89x4hq/9cIJvHDnH0XOzTM25zLmhb10QmWS6AbhewOVciVKVcS3gio7RAD9YuEsIV8a+nh/u6MVsIW6HsSzGhpIkbCFTcOmL2yiR64JlMZgKzwwc7U+weSCJbVn0xx2G+mKkEw7nZoo9pdF274urmV28VlX/7vwEEfkZ4L80pkit40wmXwkGUdaDROmN5OZtQ/TF7AVnBF4z0lfVGYEQ+d4NJLCsKyPWIAiq8r2r12/vPbdub9pkzwB0gR6PTmT41INHmMqWGEnHyZc8vCAM71wouViWhUSmJM+cyWBbwkh/jE0DyUqAiVfvGl5xV93X8lEvoVnLSouhRc9jfHqRz+0KN1wz2seFbJGS6/9f9t48PpKzvPf9PlW9Si211tFo9s1jz3jwgm1sg0MAGzxAYiAHArmBkBtOfHNvgHNICCGXJMZJOJcQgu85cCFxAsGBJAQTFgfCGGNizDIYvHs8g8fj2Wc0Go00am2913v/qOqelqZbakm96/l+Pv1RV3VVvU+36lfv8rzP85Jx3E7mdNJNUGOAacmQSGc4PDJVdEBiU187B89OMpNy4zKMEUI+Q39HmIHOMNdvEZ49PcFTJyZ49c6BRXm0V7BHvJ40jSa/sPdY2cfm6sIcuXoxt99nCx0hH50hHweHp9kyFOO7B0bYOdjJC2cnscXh7GSSgM8iEvC5cbBZQ2/Q5qp1PVwy0LngsiWFFN7bM+lsPtvnpr7y10JTVgRNo8c9+4ZJZx162wOICCG/zYl4moncGs9m/tljmcLG6iLIGAiKRTQsjMdnjwb5LDej9chUKr+8S1fYzzUbuhmIhhmOxZmIZ7BE6Aj6mE5lmEw4rI4G2d4f4enTE9iWu+xDKpPFQVjXFWKwK9zQGq10Zs5Gr4vL6fz9iYgkjTHfAxCRDwCvpAGFFPJBkbwplOlA4+RovGjc3snR6nb+cot87hzsnBW/Vu4IwUBniJOj00wkM0VTxy90br3i9pQl0TR6LEbO4zc6lSTkE46dm8ovzeK3jOehc/LLMYQDNt1hPyLiNfb8BG23czRfnWfheu+MgTOx+QcyHjl8nhu3zJ4iPd9AajydJeSz8Xud1DMTCTfWAgj53ACJ6VSWux54vujASDJruGXnAIdHZphIuKm5V3UE8iOw/R0hXr49yFAsUdZUz7m00tSZJqFpNPnEifGyjrOAgM+d8unq0MrHA1m4SyhtXRXJx+SeGo/PSnCQcYx7rhiyjkMo4MtnCnzF9n4OjUxzdP8wkaCdT/U+l1KNMb23lQVoGj2eGo/T2x4gmXEI+d041njGyS+RAO7064Wmci6FeMZB5EK7L1dnZg0MT6YQ4Mp1UbatitDf4bYHHWN45MgML14f5ZnTk2SNobstSMCbhhMM+FjdGWJ8JkXaMViWxQ2b3E5jtITOG4FqrRvdyM+rcrpFtwHfFJE/AHYDl3n7Go7eSIiT4xc39Hoj5XVkivQb591fKZY7QrBrTYTHjo5hW4LfglTGMJxKsvtFC3ce6xm3pyyJptFjMXINxDa/zYnzcYI+C58F6aw7jQXcTpTgehbiqQwB22JNVxjHMYT8NrF4Ckvmn7Eukuv8CTOpDBalO3RzPRy5faWIp9xRz3g6S2fITypzIZg+njH4xE1yceJ88UGjXCxALjPoTw6PeusdXXgcN1JsgLIgTaPJZLq8OZ8iICL4LUN70E/AJzgmg2Nc39+W/ghtAR+JtJvIYW1XeFaCg4BtMZPMkDWQwmCMO9UThMePjxP0WUSCNhOJDBOJTH7qZ64ODNrC6ViCjb3tFW2MKSuCptHj2q4w6UyW54anADeBUcZLlpKj2LTM5fYFLXE9fDNpB1vcDl8uGUyuvKAtnJ1IMJHI8OINXfR3hJhMZEims8ykHTrDPrfT6rPoiwQZmUqyvqeN1dEgjx1zNY4xnI4lCAV8DZ2Mr9Ezc1aDBTt/xphzInIb8F3gMeDNxlRjHGL5zCSLd9NK7W8V9p2eoqfdTyyecRuf3jS5faenFjw355kozPb5nldtrdlUzkZeBLMRaSY9zuXAUIwH9g/jGDdLYCKdYTppmJtYM/dlcll3R6ZSxFMZHARLIJXOEvDbzEfWgMlA2O8mVIqnUiWPvWSgfVaGX3A7jk6JZSRSWUN7wGZ1p59IyM/QRDL/meBWnlkDvhJV9NxMtas7g5wej7N9VaQlUlyvNJpJk8WSGxUjt6QJuMuW5L6MbYFxDKfPxzGeR2LbqnZ27xpgz77hfIKDgM/KTxM1xo1rdXCz/iVSGTpDIZJeEqZLByJ8Ye8x4mknP/L+8MERphIZBqMhLPGviMaYUhmaSY+5WV+XDkQYiiUYnU5RaGqxjt5yv4jgLi3UFwkwOp2mPWAxHs/k660cPe1+JpNZRISHnhvBEmEqmWY6leX4mJsY0edN7xyfSTGRyPKVx04QDfvZ3NtG2iE/UJsbtKl0e69S11tsZs5WaLeW7PyJyCSzp/gHgC3Am0XEGGM6a2Ni+YwVm/M5z/5KUsqzUE5GnQNDMe74xrMc9RaKDvlt9r5wjjvfcHlZN9SJsRmyDnS3BbAtd/2wdNbhxNjMgudC/eL2quVqb0WaUY+F5P7XflvAWMykMm4K+TKzMU15Ee0+b5TSni+DSw6BRNZw9aoIP5oqva7ZweFpbtwye1H3gY4QJ8YTWMyOAW4PWFy/uRfHGE6MxQnYMkv7hXFRuXT0c5nr6Z+73lGjxQYoxWlGTcbipQdBSlHY2BQHLEuYSqUJ+20GOsNEw27MeOGghmMMYb9NKuN4i7tb+CzXWz6ZzMJkgoHOMLvWdtLTHuS7B4a5fnNvvpOXyjpEgjaHRqbzU84aKU260ng0ox4L6wK/z+bGrX3c++hxzk4k8964SmMgn+WzM+QjkXZcT39BeQFbSGYMPluIxdPEU1nagj6SmWz+XAtIOF6Nl3II2G5W36lEhqdPTXDTtl52DHYSDfvzHb9Ktvcqeb3FZOZslXZryc6fMaajloY0PaV88WU0bj/54PPsPz1B0G8TCfpIZgz7T0/wyQef59Nvv3bhogVvoc8MWce4wba2EArM7x2pNyvR1b5Uml2Puf/15Ws62fvCKDMpJ+8VWAyWJYgx82bvzGEM9LX72djXzt4jYyUD54tJ97I1nUwm0ownLkyTC9hujOz6njbSmSzTqSyjU0nagjYzyeysjl/QB5euLv0vKxYL8PoSxyqNSTNqcmoxaQGLkAF6Qz7W9bQR8tvcsKU3n7Tlfa/enm/IghDw2fgtweez8uv8hUXo7wjSGfbnpz3H4mkEN3lMjs6Qn3gqw1TiwsCtToVW5qMZ9QgX1wUP7B/GZ7nTngtj/yqJAOdn0mxbFWEqkWEolsURd1kWESEa9mOKOk2sAAAgAElEQVSM66lf193GRCJNfyTIs6dT2N66f1lndt0ZDQeYSGRIOw5hv81jx8Z56bYL0z0r3d6r5PUWs250q7RbF3RMicibRCRasN0lIm+srlkri58ePU/AZxHyW17GJ4uAz+KnR8+XdX6b32Im5ZDKumuFpbKGmZRDWzmr09eRU+PxWRU+6OjuQjSrHnP/axFIpDNLqtAEt2LKOuAscIWgLXSGfdy8c4Bk1tDbHih6nM+C6zZ3XzTtc1UkSMBvY4sbH+G3BJ9t0R700RHykcwa7rxtJ1es62Jrf4R13SHaAhZ+S+iL+Llhcy/Xb+lbwrdUmo1m0qTjLK/zZ3kBubnF1WH2Mzu3/M6vXruel23txbItd0DSFnrbA6zvbsMYw9hUalb686vXR5ks6OhtW9XOVDKL35aGTJOuNC7NpMdiXL0+imMg7LcJV7gNl4unD/ktetuDbFvVwftv3c7qaIiQ30dHyE/IZ3mZqw1Zr/cZ8lkEvf05f4Yl7vTRHAGfRWfI5w7oGtchUegNq3R7r5LXy3lgo2E/Q7EE0bC/pCevVdqt5SR8ucMY87XchjFmXETuAL5ePbOaj1IejHI8G+ms4wbHFuCzJR8TsRAT8Uy+F5/zPOT2NzKNvghmg1IVPYrIUWASyAIZY8y1ItID/CuwCTgK/KoxprwRiTms7QpzZGSKvYfPMTaVXpKNBvKaWKgNm84a/I5haDzBleu7uWXnAN986jQTyUJPnrB9oIOQ33dRJrLz0ykmExl3ZNOrCFMZQzyZyd+juQrji3uP8YNDo2xb1cGOQfd62lBdUVRck9XS43Kbko6B6WSG589OEQ7YnJtK4Lfti57ZuVimtV1hPHcCyYzDlevddSyHJpIMxRL5Kc4Adz98hPPTyVmxT2uioVnHNdPIulI3mkaPczkwFOPYuWlOjScq7vHzWeC3LSyBTNbh9Hicrz9xim8+dZrL13SwqaeN50emicUdkpksbQGbjpCfrHGYSGSYTmbw2xapjIOdmyfKhSmg4MYUd7cH6Az56fSme+aodHuv0tcrNzNnq7Rby+n8Fasvylw8YeWwjFmfrOtu4/nhCdLZC503vw2XDJQ3RX065Y6Q+mzJ25HJGqbLXc23TizG1a7kqaYeX2mMOVew/UHgQWPMR0Xkg972Hy7lwtsH2vnq4ycZm0pTi7vSAIlUlh88f450xuHll/bhs4WgLaS9dGaCoS8SIBZPc92mLu564GA+5u6pk+NgTH4qZ9a4dd3wZHLWPbpjMMpHfuWKWQHg0bB/wYZqKwSMK3mqpcmK67ESeS/SWYM/6+ATm289fYaQ3+JVl63iwFAsfw/vGIxyy45+Pj08ydFz07QHba7Z0IXftrEshztv23nR/X7Ljn4++eALZBzXU7+6M4RtW7zrpk2qDWUxNI0eC8nlfnjmVKwqUz0zDmAcMnMunnYMT52cIOwXNvRGWBMNMZnMcn4mRX8kQCLt0B32MTKVxh0GdetOcMd13E6lMJ3MYgm0BfxFM8ZXur1Xr/Zjq7RbyxkIfFREPiEiW0Vki4jchZtBSSnAsop380rtL2Rbf5hUQWZBA6Sy7v5yCAdsQn4LS8TLiOhOHQ03eMzfYlztSp5a6vENwD3e+3uAJU+dOTg8zdb+9pp0/CCXqt5NunLgzCSfeegw06ksPtsiYIEtkDHC/tMTXLa6ne8eGCEWT+cDuIcnkmQcd3pMyCf4LEDcrIXLvUdzAeOF5d398JF8unul6aiVJpetx8QyBShANOTDZwmxRAbbcqdzBnz2rHv4gLfg+3WbevjlKwfpCgf48QtjfP/g2ZJT2Q4OT3PD1l5ef8UgN27tY3N/hGjY78UQKkrZNI0eC9mzb5hjo+Ul6VssHUEfQukF4w0wk3YzxU+nHHyWkE5nvWUabIJ+H91tfqLhAP2RAH2dIXojQS4b7OQ1Owa4cl0XbUGboN+mvzPEB1976UVJBCvd3qtX+7FV2q3ljIa8B/gTXPe2AN8Bfnc5hdbKhV5LbMsbWSmyfyF+dixGm1/IOFxI2GK5+8vhuo3d/ODQOXfhaVtIZw2JTJaXbuxe5LeoPY28CGaDUnE9ehjgOyJigL81xtwNDBhjhgCMMUMisqrYiSJyO3A7wIYNG4pefP9QjJ+fmVi2kT7LnfJpWW4CiVIEbFdPM6ksWZPFZwm2uLGAU1k3uYRtuaOeX3tiiO2rIrMCuC3L1VEAC9sWLAvSmSxtAd9F9+tis3+1SsC4kqcamqyqHpdDd3uA0xNJ/JaQSGc4NpalPeRndUcwfw8X3uOpTBbLEga7wnSGfPmO4lx9LDbduqKUoOn0eGAoxjeePMnwZLLo58vlt27azIMHznD03AxT88wIyziGzb1tHBmdwSAIbocwmXG4cWsvvZEgQ7EEH3/LlUuyo9LtvXq1H1uh3VrOOn/TuO7sSlNVF3qt8VtCsoiz3l+G58/NduZO1XQAkzX4LTfFbjm895ZLODY6zbGxGWIJQ8AWNva08d5bLinrfJ2C1jxUUY8vM8ac9iqwB0Tk54uw6W7gboBrr722aI/s8NkpRiYXn2Z+LhcmNs8/MSaZMfkj3YEZV1tZJ0vGMUwmM3QEbWzLIp11ODORYHN/JH9+W8DOJ6DIOgZLhIDPoqdI4pjFdua0kdtaVEmTVdXjcsit8ZXBmw4NHBqe5Gwszoy3iHzhPX5oZJqglzBiMpkpqY9WiaVR6kuz6fHAUIyP7XmOc1PLrx+LkWuCJtKGgY4AU6Ol65mgz+KpUzH6I0ECXh6KkLem7qGRaQK+i+N7leZkvnX+PmWMebeI/DtFWlrGmNsqbMsbgFd47+8BHqKJOn9zF6peaH8hFobJ9IWf2AGm04aOYPn19mBXG36fTTKTJeiz6YsEFz6J1lmzpNWpth6NMae9v2dF5GvAS4BhERn0RjUHgbNLvf7wZKLklJPFkIvXK7qoZgGzuofeRgawMVjidugmk1k29gTpaQ8wNj17oGVVR4isE6ct4CPjOPgsC78t3Oilpy9ksZ25XPKbM5NJphIZIiEfqzuCszqfSuNTTU1WW49LwZZcAjM3btYSt+Pns9zp0GMzhqFYApjdkZtKZIgEbZIZh86Q27Erpo9WiaVR6kOz6nHPvmHGplOLX/eoTPzeWn0+SzCWTcgnJOYG/gEBy40Jnk5m6GsPEA7YCJBIZwnYwthUSvXYQszn+fsN4N3Ax6tQbsNOaVkqjmO8ilDy2V8yjsGZZ2pajmyJVnGp/XPZs2+Y9T1t7Fp7obOWW3tpoQ6cTkFrGqqmRxFpByxjzKT3/jXAnwH3Ae8EPur9/cZSrn9gKMbMMtcXs8TNNJijnKvlfO5OwbYlkp9aHfJZhP02g9EQE3G3oZlrdK7tDtPV5ieZcWYNqLz9xo0XlbNYj0Uu+U170EdH0GYinmZoPM6tmh202aiKJqutx7Lt4EIL2hY3thxjCPktRqczXmIywWdZZByD34aZlOstL+zIRYI2E54XfddaN4lZMX0ULnidm4WiGT6VRdCUejw1HieVcYiX4ykog3ykkbjv+yJBomE/77l5K3+55yAbeto4OjpN4ezPgA237Bjg1HgCv+0uOfaybe5A56Gz05ybStIbCapToIWYr/P3AoAx5vtVKLdhp7QsldxCz2DcmCRxO4JtwYWTrhQbhZlv/1yWM41Mp6A1DdXU4wDwNREB95nwz8aYPSLyM+DLIvIu4DjwlsVeOOdZXk76Mgt3LUvH5Nb5cztv82Wz7Qr7yDiGVCbrLkZrCX7LXTtpMpmlI+RjMBpkJp3Fsizec/NWDg5P5xudH9h9KUBZ06EX67E4ODzNizd0cWYiyUTC7TReOhDh4PC0LvTeXFRLk1XTYzlYgG1Dm9/Oe9o390W4cl2UQyPTTMTTTKdnCPvcuNh01uC3hVUdQXy2W98VduQ6w34mEhkuHYjQ0x7Mr9lXTB+tEEuj1I2m1OParjDPD08ue2ZMW8DKp4tPZxz8Potda6Lc+YbL85r68aFR9p2eYF13G1OJDNOpLGG/zUA0yKrOMEG/j9tfvpnvHhjBb9t0hHzsGLSJxdPa8Wsx5uv89YvI75X60BjziaUW2ohTWpbLS7f08tBzZ0EKMrwYw0uLTBObSynNl/ssWE6shMZZNA3V1ONh4KIIbmPMKHDzUq8LFzzLcz135SJAd5uPtANhn2CJ62UYjIbYd7p0AhnbEoI+m7aATSZrmEllMRhCQR+hgI2IMJHIMtgVzldqr+dC/Otnf3i07PjXxXosTo3H2dDbzqa+C9M8HWN0wKX5qIomq6nHhfBbwkCHn3jGEAn5uWlrL6djCTb2ttMR8rlr9I3HWeUtkRLw2QR80NseIOMYrtt04Z4v7MjNjStXj55SBZpSj7t3DfD0yfFlXcNvQSTo45oNXZyOJTk/k+ambb2848aNs3T29hs35sN8OkI+jo9O89zwFIPR8Kwlirb0R1SvLc58nT8biFDeUnVl0yhTWirNe2+5hJGpJCfG4iQyWUI+m/U94bKSrvhtIVVk2Mdvl/fT7941wMfvP8gTU8lZU9Teeuv2ss7VOIumoCp6rDY5z7KUWgizCH5L8Pssutv8XNLfztruNu7fP0wincXgpqEem5k/OL633W2cJjIOG7rbCPqE54en6Qz56Qi63r/pZIZ33rhhVgN1qfGvi/FY6IBLy9CUmpyPjqDNVMow0BFk94sGed+rt8/quG3uj3DrrgF+dGiU7z13FscxtAVswoHS06JBPXpKTWhKPe4YjPKB3Zey//Q4w5PlJfnLIcBgNER70Cadddfwe8Wlq0oOWs4dqNzUF+F3XrH1omNVr63PfJ2/IWPMn1WhzLpOaakWOwaj/Pkbdy0pa2ZX2M/IVGpW21i8/eXimNzC1TJruxy7Nc6iKaiWHqtKrqMjMjuGqBDBHbnMAjds7ubaTX35zxzjJpGYu5xJyouPcKeoCY5jsCzBJwYHN6B9dTTMjsEOQn4fPzk8ytUbosQzhqlEhs6wn+2rZk+1rFX8qw64tAxNqcn58NkWibRDMuuw24tBLdYQfP0VazVLtNJoNK0edwxGuXnHah48MMxwmVmxBVgTDfKLl/bT3xHKDyi+79XzD/prx06B+Tt/VRk9qeeUloXoDFpMJC8Ouu0MlrFYH0sX1Zb+dqZTGRzjZlsSESxx95fDnn3DbOxt54p1Xfl95SZ8WY7dSk1pqtHMHLmOTsjvw8lmcIpM/7QtoavNTzhgc3Yyxd7DoxdlwTw3KURDfjKOIe3F/AUsN5lLNOSftb7lK7b18d5bLsk3TKNhP+u6w+wY7MSSCz/j3KmWtYp/1QGX4jRhZ6LpNGlROlmSeJ+t7w0zGA1X1NutKDWg6fRYSCpreOVlq3j06HleGJmed6KMT9z1Nvs6Qhwamaa/I6S5GpRFMV/nr64dsXpw07Z+9uwfntU4tcTdX02u39JHyGfx/Mg0U8kMkaCPS/rbuXJDT1nna9KWFUFT6jHX0Tk0PMkL56Zcz7QxJLMOxrjTM199+QB9kRA/H4rxg0Oj2JZ1URbMU+NxXn5pH4dHZphIpOkM+XnxhiiPHBnDtoSZtDvV+rLVHbz3lksuapje9cDBBada1nI6pjacZ9OkS840nSa3rWrj4NmZop/1RgL8+vUbL9KAojQJTafHQnL1z/VbehiZTBBLFE9otrozQDoL3W0Bgj6LKS+TroYOKIuhZOfPGDNWS0MagbaQn9fsXMUzpybynbAXre2kLVTdinD3rgGOj83w6v6OWdPAdpeZ+l1jiFqfZtbjjsEoH3vLFXz8/oOcm0oSi6c4O5nEAKs6LwxanJlIsq7LDTyfmwUzd4/fUJBAKRZPc8Nm4dxMmuGJBAOdoVkxfIWUM9VyOdMxm9Br1VA045IzzajJgK94lS/AQOeFTJzXberirgcO6v2sNA3NqEe4UHc8cvgcz5+d9jJUGzoCNsmsg3jra2a9+NqNvRF62/0cPjfDRCJDZ8g3bwZdRSlGefMZm4Sgr7jXv9T+uaztChOwbdZ2t7G2q4213W3udpU7UTnvSDTsZyiWIBr2L2rEe/eugbz4HWPy78vtPCpKtdkxGOX9t25n15pOHCOs7Qoz0BEi4xgePXqeo+emOD+T5ppNXdywpZfX7FzNDVt62dDbzqnxeNF7/NjoNOemUyTTWcJ+i2Q6y1cfP82BoVjR8hfS2FJ1mPNaxeLpWV6rYnYoxTk1HqcjNLtjorMXKs/odAp/kVrfAJGAj2jYzy07+vnugRG9nxWlyuTqjlz91xG0SaSzJDIO06ks7QGbS1Z1cNX6Ltb3hOluD7JjsJOtqzq4dMDNFt3pDZo1+CwJpcGYb9pn07Ghp43nz04X3V8O9Vx8eTnTwDSGSGkGdgxG6esI8arLVhEN+xmZTHBoZJqxqRRDE0l+YVsvft/sdTFzHuxi93jYb3FsNEVHyEdnyF2Q/ci5ab649xgf+ZUripZfjTimZvRaNRo6e6E2ZLIOGW8dWozb6TNAwBJu2NrH+169nbseOKj3s6LUgFzdcWBogpDfxm9bWFYC4xh8tpDMOgzFEvS2B4iGA+xa00k07J83U6eilENLdf6624P0R1LE4hkyjsFnCdGwj+72YFnnN/PiyxpDpDQDhfGp/R0h+jtC+YyeuTWIoPi0y7n3+Ov+5w+IBG1CfrfDGPLbGGN44kRtPRQac7t8NANqbcgtHyR4S9IaN8mL3yZ/v+r9rCi1Iae1iUSajqCPk+Nx2gM2E4kMBneqpzGGs5NJrtnYzdvnrNunKEulpTp/nSEfve0h1nRZBH0WyYxDMu3QGSrva+riy4pSXebz8CzWg20w+aVNcoi3v5ao12r56OyF2tDVFmQqkSGezuIYsEVo81vYtpW/X/V+VpTakNNaZ8hPIp0llXHw2RY97QEyGYd4xsGyhGjIx/tv3a7PQ6VitFTn7/I1Udr8Nmcmk/lU8Rt72tjcH1n4ZLTSU5Rqs5CHZzEe7KvXd/HI4TEQyQ/2TCWzXL+lvCy5lUK9VpVBZy9Un6vXR4nNpLBsi4AtYCCedugK+/Mx4no/K0ptyGltdWeQn5+ZBOMu+dDfEcC2LK7Z2IXftomG/fpsVCpKSyV82b1rANu22DnYyc07VrFzsBPbtspOfKKJUxSluiw3uVEh77hxIxt63XjeSS/d9YbeNt5x48aK2rwQlfxOilJN3n7jRi4b7KQ/EiDrrZnZFwnM8iro/awotSGntU19ETb0trE6GiLot2gL+Lh6QxS/bWsbVKkKLeX5W+7UIZ16pCjVp1Ienh2DUT6w+9KGWGJBvVZKM5DLuruQZvR+VpTaMFdrhcsGrerwaxtUqQpiTG3jYyqJiIwAx6p0+T7gXJWu3YjlatnF2WiM6a+lMc3MApqs5/94OajdtUX1WCEaXI/1Ll9tWL4NqsdF0OB6nI9Gtg3Uvhxl67GpO3/VREQeNcZcu1LK1bLrU/ZKoll/Z7W7tjSr3c1GvX/nepevNjSWDSudRv4fNLJtoPYthZaK+VMURVEURVEURVGKo50/RVEURVEURVGUFYB2/kpz9worV8tWqk2z/s5qd21pVrubjXr/zvUuH9SGHI1gw0qnkf8HjWwbqH2LRmP+FEVRFEVRFEVRVgDq+VMURVEURVEURVkBaOevABFZLyL/KSIHRORZEflvdbDBFpEnROSbNS63S0S+IiI/977/jTUq933eb71PRP5FREJVLOtzInJWRPYV7OsRkQdE5Hnvb3e1yl+piMhuEXlORA6JyAfrbU85NMKzYDnU6zmyHOr1DFppVEuPpTQz3zNWRP7Is+M5Ebm1YP81IvKM99n/EhFZpC2z7v9a21DsXq6lDcXq1Xr8H5SFqXf9WEndVtnOZWu6irZVRO81xRijL+8FDAIv9t53AAeBnTW24feAfwa+WeNy7wH+q/c+AHTVoMy1wBEg7G1/GfjNKpb3cuDFwL6CfR8DPui9/yDwl7X83Vv9BdjAC8AW7756qtaaWqLddX8WLNP+ujxHlmlzzZ9BK+1VTT2W0kypZ6z32VNAENjs2WV7n/0UuBEQ4NvAaxdpy6z7v9Y2FLuXa2VDqXq1Hv8HfdVPj4uwoWK6rbKdy9Z0FW2riN5r+VLPXwHGmCFjzOPe+0ngAO6DtCaIyDrg9cDf16pMr9xO3I7RZwGMMSljzHiNivcBYRHxAW3A6WoVZIx5GBibs/sNuMLF+/vGapW/QnkJcMgYc9gYkwK+hPubNzT1fhYsh3o9R5ZDnZ9BK4mq6XEezZR6xr4B+JIxJmmMOQIcAl4iIoNApzFmr3FbS//IIp7LJe7/mtkwz71cy9+hWL1a0/+DUhZ1rx8rpdtq2lgJTVfRtorovVr2lUI7fyUQkU3A1cAjNSz2/wU+ADg1LBPcUacR4B88t/rfi0h7tQs1xpwCPg4cB4aAmDHmO9Uudw4Dxpghz54hYFWNy2911gInCrZP0iSdqBx1ehYsh3o9R5ZDXZ5BK5Ca6HGOZko9Y0vZstZ7v1Qbi93/tbSh1L1cExvmqVdr/X9QFqah6sdl6raaVELT1aJSeq8p2vkrgohEgH8D/rsxZqJGZf4ScNYY81gtypuDD3c65GeMMVcD07hu6qrizYF+A67rew3QLiJvr3a5Sk0pFiPSNCmG6/EsWA51fo4sh7o8g1YgVdfjIjRTypYl27iE+7/iNrD4e7miNiyhXq3Gb6CUR8P8xhXQbVWooKarRaX0XlO08zcHEfHjCuCfjDFfrWHRLwNuE5GjuK7/V4nIF2tU9kngpDEm59n4Cu7NXG1uAY4YY0aMMWngq8BLa1BuIcPe9Ba8v2drXH6rcxJYX7C9jipO7a0kdXwWLId6PkeWQ72eQSuNquqxhGZKPWNL2XLSe78UG0vd/7W0odS9XCsbStWrtfwNlPJoiPqxQrqtFpXSdLWolN5rinb+CvAyWX0WOGCM+UQtyzbG/JExZp0xZhPwNuB7xpiaeMGMMWeAEyJyqbfrZmB/DYo+DtwgIm3eb38z7nzzWnIf8E7v/TuBb9S4/FbnZ8AlIrJZRAK49/Z9dbZpQer5LFgO9XyOLIc6PoNWGlXT4zyaKfWMvQ94m4gERWQzcAnwU2+K1KSI3OBd8zco87k8z/1fSxtK3cu1sqFUvVqz30Apm7rXj5XSbbXsq5Smq2hfRfReLftKYmqcYaaRX8BNuO7Xp4Envdfr6mDHK6h9ts+rgEe97/51oLtG5d4J/BzYB3wBCFaxrH/BjYFI446+vAvoBR4Envf+9tT6/93qL+B1uBnEXgA+VG97yrS5IZ4Fy/wONX+OLNPeujyDVtqrWnospZn5nrHAhzw7nqMgkyRwrVcnvAB8CpAl2JO//2ttQ7F7uZY2FKtX6/V/0NeC/6u61o+V1G0NbF2WpqtoV0X0XsuXeIYoiqIoiqIoiqIoLYxO+1QURVEURVEURVkBaOdPURRFURRFURRlBaCdP0VRFEVRFEVRlBWAdv4URVEURVEURVFWANr5UxRFURRFURRFWQFo568OiEiviDzpvc6IyKmC7UCFyrhNRD64wDGbRCTulbtfRP5GRMq+J0TkwyLy/uVbqyiKoiiKoihKtdHOXx0wxowaY64yxlwF/A1wV27bGJMqdZ6I+ObbnlPGfcaYj5ZhzgueHVcAO4E3lvMd5itbURoREZmqtw05ROSNIrKzYPvzInLEG4h5SkRurpNd/yEiXfUoW2ldRORDIvKsiDzt3ePXi8hREekrcuyPF7jWJhHZV+Kzh0Tk2nnO/ZpX/iERiRUMur508d+qZBlrROQrlbqeolSLYrqsQZmbRMSIyJ8X7OsTkbSIfGqBc4s6HETkz0TklmrY26poA75BEJFrgE8AEeAc8JvGmCEReQj4MfAy4D4R+eU52weBPwYCwCjw68aYYRH5TeBaY8y7ReTzwATugq2rgQ8YY2ZVTsaYjFfpbhOR3wZu9655CHiHMWbGu84YcDXwODBZYP9vA7/ivX4b+B0gA+w3xrytkr+VorQAbwS+Cewv2PcHxpiviMgrgbuBS2ptlDHmdbUuU2ltRORG4JeAFxtjkl6Hr+QMF2NMxTpiRa79Js+mVwDvN8b8UjnniYjPGJMptT2njNPAmytgrqJUjcXqssIc9sr+E2/7LcCzS72YMeZPK2HUSkI9f42BAJ8E3myMuQb4HPCRgs+7jDG/aIz56yLbPwRuMMZcDXwJ+ECJMgaBm3AFd5FHUETagJuBZ4CvGmOuM8ZcCRwA3lVw6HbgFmPM7xec+27gl4E3GmPiwAeBq40xV+B2AhWlIRGRq0TkJ97I59dEpNvb/5CI/KWI/FREDorIL3j720Tky97x/yoij+Q8DSLyGhHZKyKPi8i9IhLx9n/Um1b9tIh83PMy3Ab8lTfaunWOWXuBtd65v1k4Gioi3/QarojIlIh8xPMU/kREBub5np8Xkc+IyH+KyGER+UUR+ZyIHPAGdXLHFfXGKMoyGATOGWOSAMaYc14HCQARCYvIHm8AMe+hF5GIiDzo6ekZEXlDwTV9InKPp6mvePXXLErpschx/SLybyLyM+/1Mm//h0XkbhH5DvCPRbY3icgPvOs/nvMeSoFn0tPvV73v97yIfGy+H8rT6KOeN+bOgv3XiciPPa3/VEQ6yvnhFWUeSurSqwfuLNDeZd7+HhH5uqe7n4jIFd7+Z0SkS1xGReQ3vP1fkOIeuThwQC546d8KfDn3oYj8sle3PiEi3y1Wt4nIb4vIt73nx+dF5M0L2N4vIg94+/9WRI7NV9d53/MxT4u3F+zf7V3jKRF5cBG/d0Ohnb/GIAjsAh4QkSdxPXnrCj7/1znHF26vA+4XkWeAPwAuL1HG140xjjFmP1AopK1emT8CvmWM+Tawy6vUngF+fc417zXGZAu23wG8FvgvuYcI8DTwTyLydlzvn6I0Kv8I/KE3UPEMcEfBZz5jzEuA/16w//8CznvH/zlwDbjTVnWQnVAAACAASURBVHB1e4sx5sXAo8DviUgP8Cbgcu+cvzDG/Bi4D9fTd5Ux5oU5Nu0Gvl6G7e3AT7xBmodxPe7z0Q28Cngf8O/AXbjafpGIXFVGeYqyFL4DrBd3EOXTIvKLBZ9FcO/FfzbG/N2c8xLAmzw9vRL4axER77NLgbs9TU3g6jJPKT2WsO9/4oZeXAf8F+DvCz67BniDMeZ/K7J9Fni1d/23Av+rxPWv8j5/EfBWEVlf4jiADxljrsUNw/hFEblC3DwA/wr8N0/rt+A2nhVlOcynS3A7hi8GPgPkplreCTzh6e7/xq0/wW0/vgy3PjkM/IK3/wbgJyXK/xLwNhFZB2SB0wWfzevUkIsdDnMpZvsdwPe8/V8DNpSwK8dvec6Ya4H3ipurox/4O9z27pW4HsumRKd9NgYCPGuMubHE59PzbH8S+IQx5j5xPQIfLnGNZMF7KXifi/kr5PO4onpK3Omjr5jHln24lds64Ii37/XAy3G9G38iIpeXmiKjKPVCRKK4XvTve7vuAe4tOOSr3t/HgE3e+5twG4sYY/aJyNPe/htwY2Z/5LVPA7gevAncRuzfi8i3cKd6luKvPM/AKu96C5EquN5jwKsXOP7fjTHGG9QZNsY8AyAiz3rf78kyylSURWGMmRI3rOEXcDtx/yoXkpF9A/iYMeafipwqwP8QkZcDDq43PDdwecIY8yPv/ReB9wIfLzi3lB6LcQuw80K/ks4Cz9p9cxqXhdt+4FPewEkWd1ZMMR40xsQARGQ/sBE4UeLYX/W8DD5cz8xOwABDxpifARhjJkqcqyhlU0qXxpjPe4cU1n+/4r2/CXeABGPM97wOURT4AW6b7xhuh+t2EVkLjBljSsXa78EdQB3mYgfHOs+eQVztHin47B3ASdw2arrEtUvZ/ibP9j0icr7EuTneKyJv8t6vxw3D6AceNsYc8a4ztsA1Ghb1/DUGSaBf3DnYiIhfREp58OYSBU55799ZIXs6gCER8eN6/ubjCeD/wI0/XCNuttD1xpj/xB2t6cId3VWUZiM3YJLlwkCZlDhWgAcKEjftNMa8yxv0eAnwb7hxfnvmKe8PgG24Hot7vH0ZZj+nQwXv08YYU8TGhb6Pw+zBIKeMcxVlyRhjssaYh4wxdwDvxmtA4noMXlvg0Svk13EbW9d4A5TDXLj/zZxj524X1WMJ8yzgxoJj1xpjcvHs8w28vs+z6Upc70CpeKlCrZXUqYhsxvVS3Ox5Vr6F+32lyPdTlGUzjy6h/PrP4M48+QXv9RAwghv3+oN5yk7hds5+H7d+LOSTwKeMMS/CbV8W1nv7cAcr11GaxdTdF+E5Um7BfS5cidvObSktauevMXBwhfKXIvIU7gh8uUHvHwbuFZEf4CaKqQR/AjwCPAD8fKGDjTE/xK20vgX0Al/0vAtP4E6nGa+QXYpSMbzR+PPixfPhjih+f55TwJ2O8qsA4mbrfJG3/yfAy0Rkm/dZm4hsFzfOKGqM+Q/c6aM5L/sk7iDLXJscXM+iJSK3AkeBq0TE8qaLvWRJX1ZR6oSIXCoihcmLrsL1EAD8KW6isk8XOTUKnDXGpMVNgrSx4LMNucFS4NdwdVlIUT2WMPE7uA3fnL3lToGO4nrkHNxnh13meaXoxO1cxrwYp9d6+38OrBGR6zz7OkSzbSvLZAFdluJhPIeA10E6Z4yZMMacAPqAS4wxh3H1+H7m6fx5/DVu2MXonP3zOTVmORwWuH4hhXX3a3DDIEoRxQ3vmPFiBnMzcfbiTsfe7F2nZxHlNxT6AKkzxpgPF2y+vMjnr1hg+xu4U2fmnvd53OmbGGN+c85nEe/vUdxYw7nnfgbXdT93/9zrfLjg/f3A/d7mTXPPVZQGoE1EThZsfwK3YvkbcRNGHAb+9wWu8WngHm+65xO48a0xY8yIN0X6X0Qk6B37x7idvG+ISG7U8H3eZ18C/k5E3suczIDe1My/wPWc34I75eUZ3BHPxxf/tRWlrkSAT4q7hEgGN4P07bjJx8AdFPmciHzMGFMY2/NPwL+LyKO4A6KFA5EHgHeKyN8CzzOnvppHjweL2Pde4P/zNO3DbeCWk6js08C/ichbgP/kYi/hovDCLJ7AzXp4GNcrijEmJSJvxf0Nw7jxfrcADbN0jdKUlNLlfHwY+AdPKzPM7pg9woUBkB8A/w8XD8rMwhjzLMWzfH4Y16lxCncgZ/Oc834o7pIP3xKRhcIdctyJ+zx4K+4g7xAFGevnsAf4He97PufZkHuu3A581ZvldpaFwy0aErkwa0hRFEWZDxGxAb8xJiFuls4Hge1mnvU5FUVRFEWpH94gUNa4y5rdCHymSL6LFYN6/hRFUcqnDfhPLx5WgP9TO36KoiiK0tBsAL7seexSLJwdu6VRz5+iKEqLICIf4uL00/caYz5S7HhFUWqPiDyCu8RTIe/IZeBVFKX6iEgv7uydudxcJA6xpdDOn6IoiqIoiqIoygpAs30qiqIoiqIoiqKsALTzpyiKoiiKoiiKsgLQzp+iKIqiKIqiKMoKQDt/iqIoiqIoiqIoKwDt/CmKoiiKoiiKoqwAtPOnKIqiKIqiKIqyAtDOn6IoiqIoiqIoygpAO3+KoiiKoiiKoigrAO38KYqiKIqiKIqirAC086coiqIoiqIoirIC0M6foiiKoiiKoijKCkA7f4qiKIqiKIqiKCsAX70NWA59fX1m06ZN9TajJUiks8TiadJZg98WomE/Ib9db7PqzmOPPXbOGNNfbzuaBdVkY9CqelY9Lg7VY+tqoRFQPS4O1ePSUR0vzGL02NSdv02bNvHoo4/W24ym58BQjLsfPkI07Kcj5GMykSEWT3P7yzezYzBab/Pqiogcq7cNzYRqsv60sp5Vj4tjpeuxlbXQCKgeF8dK1+NSUR2Xx2L0qNM+FfbsGyYa9hMN+7FE8u/37Buut2mKoiwS1bOiuKgWFKX5UR1XHu38KZwaj9MRmu0E7gj5ODUer5NFiqIsFdWzorioFhSl+VEdVx7t/Cms7QozmcjM2jeZyLC2K1wnixRFWSqqZ0VxUS0oSvOjOq482vlT2L1rgFg8TSyexjEm/373roF6m6YodePAUIy7HjjI++99irseOMiBoVi9TSoL1bOiuOzeNcCx0Wkeeu4s33n2DA89d5Zjo9OqBUVpIrROqzza+VPYMRjl9pdvJhr2MxRLEA37NZBWWdHkAsxj8TSD0RCxeJq7Hz7SFB1A1bOiXMASAcBgZm0ritIcaJ1WeZo626dSOXYMRlVIiuJRGGAO5P/u2TfcFDpRPSuKq9f1PW3sWntBC7F4uml0rCiKi9ZplUU9f4qiKHPQAHNFaX5Ux4qiKBejnj9l2RwYirFn3zCnxuOs7Qqze9dAU4zQNKvdSvVZ2xUmFk/nPX4wf4B5Le8lvW8VpTzWdoU5em6KMxNJJhJpOkN+VncG2dQXWdZ1VYOK0nyobi+gnj9lWTRrbFSz2q3UhsUEmNfyXtL7VlHKZ/tAO48fHycWTxMJ2MTiaR4/Ps72gfYlX1M1qCjNh+p2Ntr5U5ZFsy6+2ax2K7VhMQHmtbyX9L5VlPI5ODzN1eu76Az7mU45dIb9XL2+i4PD00u+pmpQUZoP1e1sFpz2KSLbgc8AA8aYXSJyBXCbMeYvqm6d0vCcGo8zGA3N2tcMMRXNarfqsXaUG2Bey3upWe/bVkY12bicGo+zsa+dzf0Xpnk6xixLL6rBxkb1qBRDdTubcjx/fwf8EZAGMMY8DbxtoZNE5HMiclZE9hXs+7CInBKRJ73X6wo++yMROSQiz4nIrYv/Kko9aNbFN5vVbpaoR1BNVota3ktNfN+2MlpHNijV0ItqsOFRPSoXobqdTTmdvzZjzE/n7MsUPXI2nwd2F9l/lzHmKu/1HwAishNXnJd753xaROwyylDqTLMuvtmsdrN0PYJqsirU8l5q4vu2ldE6skGphl5Ugw2P6lG5CNXtbMrp/J0Tka3grpAqIm8GhhY6yRjzMDBWph1vAL5kjEkaY44Ah4CXlHmuUkeadfHNZrWbJeoRVJPVopb3UhPft62M1pENSjX0ohpseFSPykWobmdTzlIPvwvcDVwmIqeAI8Dbl1Hmu0XkN4BHgd83xpwH1gI/KTjmpLfvIkTkduB2gA0bNizDDKVSNOvim01qd6X1CKrJZVPLe6lJ79tWRuvIBqYaelENNjSqR6UoqtsLLOj5M8YcNsbcAvQDlxljbjLGHF1ieZ8BtgJX4Y7E/LW3X4oVXcKeu40x1xpjru3v71+iGYrSnFRYj6CaVJRloXWkojQOqkdFWZhysn3+D+Bjxphxb7sbd/TjjxdbmDEmn1NVRP4O+Ka3eRJYX3DoOuD0Yq+vlI8udtmcVFKPoJqsFKqnlYvWkY2D6lBRPbYequvKU07M32tzIgLwXN6vm+f4kojIYMHmm4BcVqX7gLeJSFBENgOXAHMDdpUKsZTFLg8MxbjrgYO8/96nuOuBgyt2YcwGoGJ6BNVkJVA9rXi0jmwAlruIs2qyZVA9thDl6lr1uzjK6fzZIhLMbYhIGAjOc3zuuH8B9gKXishJEXkX8DEReUZEngZeCbwPwBjzLPBlYD+wB/hdY0x20d9GKYvFLna53EpVqShL0qN3rGqyCqieVjxaRzYAy1nEWTXZUqgeW4hydK36XTzlJHz5IvCgiPwD7pzm3wLuWegkY8yvFdn92XmO/wjwkTLsUZbJYhe7LBQfkP+7Z9+wut5rz5L0CKrJaqF6WvFoHdkALGcRZ9VkS6F6bCHK0bXqd/Es2PkzxnxMRJ4BbsYNcv1zY8z9VbdMqRpru8LE4um8QGD+xS6XU6kqlUX12HionlY2qsnGYLE6LEQ12TqoHluLcnSt+l085Xj+MMZ8G/h2lW1RasTuXQPc/fARwBXIZCJDLJ7mrdetK3r8cipVpfKoHhsL1ZOimqw/i9VhIarJ1kL12DqUo2vV7+Ip2fkTkR8aY24SkUlmp7AVwBhjOqtunVIVcotdFmZPeut160q6x3fvGuDj9x/kiakkyUyWoM+mLxLkrbduX5YdmsGpfFSPjUuhnp49HWMikSEa9uVjEube08tppFYD1eHSUE02Fout1wppBE1+6+lT3LP3OMMTCQY6Q7zzxg28/oqiS8cpRVA9tibl6LoabdRWrxdLdv6MMTd5fztqZ45SKxa72KVj3GepeMvb5LaXSi5ANxr2zwrQvf3lm1tKYJVC9djY5O7Z42MzrOtuoyPkK3lPL6eRWmlUh0tHNdl4LHUR53pr8ltPn+Kj336O9qCPVZEAE/E0H/32cwDaASwT1WPrUo6uK9lGXQn14rzTPkXEAp42xuyqkT1KA/KFvccYm06Rzho6wn629bcT8Nl8Ye8x+jtCSxoZKQzQHZlMcGhkmrGpFHfct587b9vZMgKrJKrHxmYxQecLVWY5L8DJsRkQWN8V5oatfRUffdRA+eWhmqwP1fCSLbXjWAnu2XscW2AykebcVJKgz8JvCffsPa6dv0Wgelx5HBiKccd9+xmbStETCXD5mk76O0IcGZnijvv2s6GnbVntU2jNenHepR6MMQ7wlIhsqJE9SoNxYCjGDw+NgjFEgjbJdJbHj48zND7DDw+NLjm17qnxOB0hHyOTCR4/Pk4ynaW7zcfoVFJT9JZA9djY5O7pQpYSdJ7zAoxMJkikM8wksxwYmuTJ42MV10albF6pqCZrT04fE/H0LC/Zt54+VW/Tlszx0WkmkxkyWYeALWSyDpPJDMdHp+ttWlOhelxZ5Dx0o1NJutt8+fbpwTMTHByeYnQquaz2aSGtVi+Wk/BlEHhWRH4K5J9ExpjbqmaVUlcK5zofH5tBMJyZSJI1hoDPIhLw8eSJGKujoSWPjOQCdA+NTBP0WYT8Nol0lr5IML+GS6uMsFQY1WODUqmg83v2Hqc96GMykcZv2/hsIZl2eH5kmtf0d1RUGwFbePjgCJOJNImMQ9C26Az7uXyNhscsAtVkDcnp40LdY+X3F/OSNUPsjmUJ2TSE/O538dnixi755aJjm+H71BnVYwtyYCjGF/ce44kTMQyGq9d3Ibhtz75IkEQ6S8hvA/DUqRidIXd/bm1AWHz7tJUTyJTT+buz6lYoDcPcuc6PHB5ldCqJbQnhgE0263B2IkEy6/CqHf2zzl3MyEguwH5sKkV3m49EOksy47BrbWfLjbBUGNVjg1KppBHDEwlWRQKcm0oSsN3GoN8WppPZimrjwFCM4Ykk56aSTCcy+GxhJpkllXEYnkhyYCimjcryUE3WkJw+CukI2gxPJC46tllidzb0tPHsqRiJtBD0CcmMIes4bOiZHb7WLN+nzqgeW4wDQzE+fv9BjpybJhK0EYRHDo8xncrwysv62baqnceOjQPugOZkPENH0Me2Ve35ayylfZo7r95J2arBvNM+AYwx3weeA6JAJ/Cct09pEQ4MxbjrgYO8/96nuOO+/TiOQzTsxxLBMYaAzyYcsPHbFlkDPtuiI+gj6Js9drCYkZFcgH1PJMDYTJqQ3+aajV30RUItN8JSSVSPjUvuno6G/QzFEkTD/iU1ygY6Q0wmswR9FlnHDVqPp7M4jsN/PDPE8bGZikz93LNvmPU9bfS0BQj6bRC34dkTCbC+py2frVSZH9Vkbcnpo5DJZJaBztBFx+7ZN4zjOBwYmuC7B4Y5MDSB4zgNd29fv7mXazZ2E/RbTKeyBP0W12zs5vrNvbOOK4xFynk0cjNlFBfVY2uRi+l7/Ph5ppMZDBAK+IiEfBgD+09P0hcJcc3GLkJ+m7GZNB1hH5et7qAvcuGZsJT26XLr8kZmQc+fiPxX4E+B7+GmzP2kiPyZMeZz1TZOqT5zRxKfPD5ObCZFJOSjLxLCbwu2BemsYVNvmGTGIZl2iIbdbIaw9JGRHYNR7rxtZ778XIbEVhthqSSqx8amEkkj3nnjBj767ecI+CziqRQzKeNNiQ7gtyxWdwQrMtqfWxg3Ywwbe9sQEYwxTFXYw9jqqCZrS04f4Hr8JpNZppMZ3vOqrRcdu38oxvHRGUJ+m46gO8Pk52cmmUlnLzq2nuzeNcDxsRleszMyqz7dvWtg1nG6mPXCqB5bh1z7dGwqhQUYDKfHE6zpChH224T9Fudn3DZjT3uQHYM2sXiaW3b0890DI8Ti6WW1T1upszeXcqZ9/gFwtTFmFEBEeoEfAyqkFmBuVqMeL4D+0Nlp+iIhBjrDYOKkHLdRGAn52NjTxub+CLt3DeRjD4K2EPZbfPaHRxcVh1DvFNtNiOqxxdnSH2HXmk5+duw8qazBcQzdbQHW90bY1t9Of4c73Wu5sX+5uIbOkD8fL5HMOES8ylK972WjmiyTSsSr5eL6CrN9vudVW4vG+8XiGUQkHwuUu8dj8czyv0wFKbceXAmxSBVA9dgi5NqnPZEAE4kUguCzYGw65eaHaHOze0bD/ot0s6U/sqCeVnL8bDmdv5PAZMH2JHCiOuYotWbuSOK2/nYePzbOuakkjjGs7gxyejzOtRu62djXPmtEMjcyUug97I2UXt+sFK0+wlJhVI8tTE5LA9Ewv/aSDiYTGb7387O8bFsPqzouNPAqMdqfi2tY3Rnk52cmSWYcMLCxp02974tDNVkGlYxXe/0Va8taAqEz5GNiJk0i7U6jzt3jnaFymj61pZx6cCXEIlUA1WOLkGufbutv5+xEgvGZNAEbppOGkM9mQ28b77hxY1HdLKSnlR4/u2DMH3AKeEREPiwidwA/AQ6JyO+JyO+VOklEPiciZ0VkX8G+HhF5QESe9/52F3z2RyJySESeE5Fbl/OllPJZ2xVmMnFhFLS/I8T2gQi9kSBDsQSb+iJ88LWXsrk/UnLus8Yh1JQl6RFUk81AMS11t/nZf3py1nGVGO3PeRs29UXY0NtGZ9jPup4wm/sjK6YCrBBaR5ZBPeqJy9dE2T4QIei3mUpmCfpttg9EuHxNc97bKyEWqQKoHluEXPu0vyPES7f2sq47TNpx805cv6WHD+y+dMn3/kpvt5Yz/PWC98rxDe9vR5FjC/k88CngHwv2fRB40BjzURH5oLf9hyKyE3gbcDmwBviuiGw3xjTWxPw6knNPP3s6xkQiQzTsY+dgdNlu6mIjibZtXbTQ+utL2HNqPM7+0xNcub4TuDAVZa5novD4gC0IkMyaFedqrwBL1SOoJqtCuVNH5h63faCdg8PTszR98nycK9dFSWWyHBqZZiqRQcRwbipVNH5hudNW1OteEbSOLMLce/PZ0zF2DM5eQqSwnqjGwu27dw3w8ftjJNNZHOOQTGeZTmUviqWrBcW0Cixav6rZBVE9NjjltmcL26e9kSDXburhknh6wQGPcurFheJnS9XXrTJFdMHOnzFmSWlzjTEPi8imObvfALzCe38P8BDwh97+LxljksARETkEvATYu5SyW42cezqbdTg5FgeB2EyKNr/N3Q/PLEsIS4m5m+suf354kkcOn+fGrZLPrlTomSg83mfBI4fHMMD1W7pXnKt9uSxVj965qskKU+7UkbnHHT03xVcfP8mWvjaGJ1J5TRsDP3x+lKzjkDWGrGMQhIBPSGWyDMUyeY0CK3raSqOgdeTFFNPFyfNx2vw2kZAvP7Dht4XL13TmF25vD/pmLdwOLLsD6Bg3Y6475Hhhu5YU+z0+tuc5LBHW97SpfiuI6rGxWUx7tlj79LpNXezZN1wyv0S5dfJ88bNzr3FkxK2vX7yhiw297S2h1VpPfB8wxgwBGGOGRGSVt38trms+x0lv30WIyO3A7QAbNmyooqmNQ849vX9ogqD/woLoZyaS7BjsnDfxw7eePsVf3f8csXgGW4Tudj97XzjHtlURUgWet/e9ejtwoaM4X+KWuUliLl/TySOHx9h3aoKXbw9eFIdQePz+oQkiXrzF4ZEZbtjSmz+mWUXU5Kgml8FcLZRaTDZ3XCqT5ZEjExwemXLTVA9NsqYrTMhvc346xfhMirHpFA7QFfbhsy1SGUNILAT4+FuuzF/zrgcOXlT22FSSO+7bz4aetiWNTq7kAPgGoSn0eGAoxhf2HuOJE+MIwtXro7y9IPZm7v0+lchgjOFnR0dpC/iJBG18ltvYGp5I8umHDi9q4fZy2bNvmI297Vyxriu/rxLJkkpRSj/FnhNj0ykAdq2N5vflbFbNNQxNocdmYqH27Bf2HqO/IzTL45bj4JkJ7n30BPF0Fkugpz3AvlMx3n/r9ouePQvVyfPFz869xpnJJO1BH2cmkmzqi7SEVhsl6lmK7Cs6PGeMuRu4G+Daa6+t/RBeHTg1HsdnweGRKQCCPouusJ+JrEMineGRI6NFG2sHhmL81f0HGZtKE/JbIDAcS3BybIbzMyl27xrMj0CuiYY4O5XkxGic7QMRNvaVHt2Y6y7v7whx3eZunjoZYyiWuMh7WHj8VCJDJOhmXptIXFgqQlNVNxwrUpOL7fyUm3o9p+EnT8QI+iyMMdiWcH4mzaqOINOOYXQ6hWMMlgXGgalUlmjIYn1PGAGeOBG76JqFZY9MJjg4PEXacbh+c8+iRycPDMW44xvPcujsFNOpDIJw78+O86Ff2rFs74uybOqmx2LTn77y2CmOj84QCdoY4PsHR/jRC6NsW+XG0z17OkZfJMCTJ2JkHYfpZJZ4OstUIk1PO8S8Z/9gNER7wObk+Rm2r4rMKrfUwu2LoZZLI8zncShmRyrjYOb8C7UubBpWZP24HHLPka8/eYqBjiAjk0n6O4KA26adSKRJpDP8+IUxXnXZqvwMmS/99BjRcIC043BqLE7GMXS1+bAti5GpFDPJLF/ce4yP/MoVHBiK8Z39Z8BAR9ifz45dTFfzzXr77A+PztLrVCJDR9DOt1mh+bVazjp/LzPG/GihfWUyLCKD3gjKIHDW238SWF9w3Drg9BKu35IEbOGRw2NYAhjIZB1OxRL0tvn52ZHzREK+WZXNLTv6OTg8zXf2n2EoFifks4ins2QcQzrrIMDJ83G+e2AYW4TxmTRj0ymCPreD+MypGIfPTZM1hkzW4QP3Ps1ANMREIkM8lfn/2XvzGDnP+87z87xn3dV3s3mKFEWalCz5kh3JTsaOfGg3O04miJMNNl4Da2w2OzMewAtvNgvMwEgGDowZI55ZzwKZAJ5ZT7w7Ezsbb5wIli3ZsR3Z9ClZMkWKLYpHk81m33XXez7P/vG89Xb1fbBJsUh+DYvso6reKj6/93d+vz8uzjWJY0V/weGRfWWO7SmRsS3ef3JP2kHsRnd7vZCx8JMdS6WMrp7ck6reOnbZHuGeTabYifrXZqMjHccysdBisekTRJLJxYBWECMEGEIw2/CxTINYSiKpiGL0zxA0/IiFZoApoBVKPvHlF9OkdOVrn59tgoChgpsS2GHz6uTZqSpfPHWZv/7ZJI1A3x8cU4ChmGkEfOpvz3JkuNCzFc6bjTvZR65lE5/71mvEUq8EydgmrUCf0SCSTFXb/PxqFUNAMWOjUCw0QywDbEPHy4utkEODOfpzDn4kGZ/WRc3Zuk8oFX4kcS0D2xCMljf2C5vxBLezGuFGOYcbdRzWug7HWq63N1v3ePlajTBWfPaZ8Xtd9x3iTrbHXkX3fWS06FLzImpehFSKSCpaQUzWMXlhooJA8Y0z12n6EUEYI4GGHxFLRSAVBtAOYgYKFgJJKCUvXKnqKbenz3G9ppXqDSF4ebLKfUN5hvI27Ugt858d7uxaNrbSXgsZi9odtmJlK2qfn9vi97aCrwIfSf7+EZaIuF8F/lshhCuEOAw8APxoh69xxyHJ+ejLamdZ8yKaXsi1qocXxjy0r5QGe1JKPvfN1/QCdgVRrKh6muQeRJJIQijBjyQG2uE2/JC6F1L3I8I45lq1zfmZBrM1j+tVj/Mzdc7PNLi60OTMtRpSKWKlqLVCvnd+np9NLKy5kLaDJx8aTZe3HxnK0fAi6l7EkeFc+v3Xg4Dfo9hNC99urwAAIABJREFUe4R7NpliJ+pfTz40yuX5Jl/7+RT/9w8v85++f4lvvzJNzhH82XcvUm2HjJUzjJVcJuZbXEkql4aASEIQKxaaAYvNgKYfYRkC0xDESncGYilpeBGTVY+8Yy5LSo+N5lP7kUqx0AhQSnF0ZGlMZrPq5NmpKp/5+jinLizQDiWg7zX6GpOdSi09Jnd2qspnnxnnE19+kc8+M87Zqeq6z3uX4Y71kWvZRBhLFpuhLhYCVxdaeKEkVrqYEUvFQtPnwmyDKwttmr4+o1UvRAEyCfZaQcxcw2eq1kYpxVStTdOPsQ1o+jEzDZ8n3jC07rV1eIK1driMJ/jUS5Pp73T7HqnUuv5mK8+1GSYrbYorVkh07G+t6xjIOwwVXKrtkOlam++Oz3F5vkUrCPn2uRk+8/V7NrZD3LH22Kt4+vQ0UkrOTtWYa/jM1n0MoZiqeDT9GAG4psHFuSbTNQ8/lOQdEz9W+JEiiJZ65BJoR4ogiomlotaOmFho8r//1WlmGwGOJQhjXUQKY8nF2QY/vrxIzjaW+c+NbGulve4pujT9iD0ld8P7SC9h3c6fEOIx4HFgeIU8bgkwN3tiIcR/RhNlh4QQV4FPAp8GviSE+CgwAXwIQCn1shDiS8AZIAL+yT3VpCX4seIdR/r5+dUakVQIATnHpB1KbMugm78+VfVoBhFnp2pcXWwSJz+TK4YNBHC14tEOIsJYUfMiHFPgRzowtUxohzFhrBDATN0jiGT6+GLG0l8LeHW2yef/6xPrVim72+sNP+IdRwZStc+Ron3TlrrfSfylG7XH5Dnu2eQGODNVpdrSRZBSxuboSJ6BvLvpaEfTj5ip+4DCsQwiCf/5R1d4ZH9fWim8b6iASAaF/FCi0JU3BcQSQGKbBnnXIo4lYaCQQBCDlFoYo5ixl3X0xqeby8ZWBgoOOdvg/EyT5ycqWELgRxLTFOt2Ep4+Pc1cw18WtAogVtAOJIYAw9CfzcRCa8td0TvJ9tbD3eAj1xpXHMw7zNZ9Ls03CSJJpWthut6jFxJJfYbiKDnrAsoZi4YfEylFpRXihbrLbApdkOzLusRK0goledfiTSNlJubbfPaZ8TXP0RdOTWzKE9yqoNkXTk1gmYK6FzLX8HEtA8cytsU53KjLuNZ1/P6TxwFtg98Zn6HaDrBNg7oX0Q4k8w0/HWd7PdBrNnw32OPriRs5D2emqkzMt8jYJkMFF9s0uDzfxDAEOdckYxnkHItYKkIFsQoxxFLcGkmFsSKGnW+E+v5hCDKuSaWt7zugfZghdPNDKsWBgRztUG55ImalvR4eLvCBh0aXqX3erLh1Pey2PW409ukAheR3uiVya8BvbPbESqnfXudHT6zz+58CPrXZ896N6DiVvGtxdKSQEmTnGj4Z2+T8bJPhonbQU9U2rSCm0gq0I14HAmj5IWHnVxT4SXUlViAjRWzoxC9KjE4p/bhOVca1TQ4P5phpBLedPPUduMDzhuwR7tnkRjg7VeXKvFYeK2UsvDDmp5crHB8tcN9QYd3HPX16Gj+SHBrMkbF1fOGFMRMLrXRPZgcqMaDO+DaJc3NMrZLbDmMKrsV0VfOcOr8WJfZ4dbHFXMNjqLDEYei2q27FRFMoLs23USjeef/ghvxdP4opZWwcy6CdJKYdSAWGgqmKx9vuy21Kou98lneY7a2HO95HrpXQ5BxT8/gCRRitiHeVLurJxFeYBkhdI8SLJJYpsC1BEEkcyyDnmBRch/lmwJ6Si+tYPJaIgM3U2/z9+fmU/7PyHE3XPEYKzrKX3ylPUHcvI2zTxDENoljRDgL8cH0fuhKbLWBfzweeGCvzNy9OYgiBbRq68y8VdS/i1IX5bb+X3UCP2vAdb4+vF270PFTbEUKI1Ef25Rymqh4F1+JDbz3AbN3j+YkKSpFOB3RbnmJ1A6PzcwNFK4xZGe7GCiwBpmEwlHe2zddby15Xrjy7VbgZ9rhu8qeU+g7wHSHE/6WUuiyEyCulmju9+HvYHlbuxZuu+cw1fAZyNl4Y40eSR/aXeflajemax+Rii0oroBlIXFM7D0MYwNrOK1Ys6xiuZCF3OhJ2MhhsmgKJNkpDCFpBTF/Ooe7HjJYyrIXdqlTs5Hm2qvjUK7hb7fFWVZ+fPj3NsdEC4zONlHPkR5Jz0w1+7933r/u47uSpA9cyMIXgWrXNDy7MU/NCShkbhba5TjGFrqqmVArLUDT8qJMXLvtToh3ol39ylYP9WR7cV16VlI5PN7l/KMers01m6j4yVggDvnt+nvuHPI4M5Ved/319WV6drrPYCnAtQXvJP6av35+zafjhuiNta32Wd5LtrYc73SbPTlWZrXs8d36e/pzNyb1FWn7MzydruKZB1YtWBWSGQRqEmQaabx5JlAQvlNgmhLE+WwM5i0JGUxn2lDIotLACaP7bt87OEsSSH19aQKCDP9sU/Pmpy3z4sUOEsWR8pkHBtejPOeRdK+UNdrg9x0bz/MfvXeLKQhsvislYJs+8PMWbD/bjxwrXFChgsaXFlkoZA0sILFPgR2JtWQ/W39mXtQ1+eHE+VUDdanBW8yIsU78uoP8uBTUv2uSRNwe9aMN3uj2+ntjoPHT+3MhHlzIWtVaIF8a4lsF0zaPpa/rP55+7gECQc0w9HaNIJ9a6sZ5SjlLgBWvHuZGC/oxF3Y93xNfr2PmZqSrVdkQpY/Hg3hvfr71d3Ax73Ira514hxNfQFZWDQohHgP9JKfWPd/SK97ApVmb5E/NNXpupU2lrYZbBvEPGNjl7va6dXSyptEJE4quCWOG3N3Yam0lOWQIMQ89OmwbYpoGBohnHmEIRxprA3/QjPvbLq4Pj3apU7PR5bqXK2y3GXWOPt7L6PFlpc2gov2wHWSljUcraG75WJ3nyI5lWNavtkCCKqbZDvEAyWnKYqXlp0LsSZmJHrSDGtnQnpZP0df++Sv57ZbFN3Y94/4M64Ow4qC/95Ap+GFPMWCipUEKrhkZRzNXFNg0/ohUu79Q8+dAop16b47VZjzhePbWkgLGySygFdS/akgO9g21vPfSsTa5XXOm2vcfvH+DsVJ1vn5vDtTQPNFT63DqGwA9lWmLsFBQFkLFMSjkbx49oBDFBV0cQ4MJcm75cRF/OxnYs5psBQwWX6Vqb516dZ6Hp45iC8zN1HNPg4EAOFHzzlRnOzzSwDUHDi/DCmIYfkrNNql7E2+8bSO8Xn3rqLIvNgLxrk7NNWkHMuRmfhh/zzgcGOXVBJ5Y5Wyez840A09DJlyEMDvSt7vqvdV/6zNfHkUpxaDDPe0+Mpl2/raLgmlRaEVEs085fLKEvt6WJ/l1Hj9twz9rj7Yq1zoMXRnxnfIa/+PEESuliTyzhv/x4gifeMMKHHzsELCWGsZJIJbhWaTNT97GSQlAQScJYoZRcM+nbDJ3i6MrvgaZWnBwrcmGuxfHRAlKpVR359dCxcyklE/MthBDUWuGW92vvJm6GPW4l+fs3wAfQBFeUUi8KIX5px694D5uiO8ufa3icm24gDIFlaE5CtRWSdUw9Hx1px2sKrRAY7pKQsG6ZC0yhdwEaQuDHkpxj0gwiQDBSzvLEG4YYn27ydytUlHarUrHT59mOyluP4a6xx1tZfe6cl+FiJh2hXnl+1sKTD41yerLKxbkmSim8MOZa1QMFA3mLhh8xPhNiCrFuwcWPFEpqoYt2UsG0TUGwwhMaaOdqGopy1mF8usmRrkC00x2ZqfsppxADEALXMmgkCmvdODFW5oGRAtM1j8sLyx2JIfTDX56qc3Agxw9em0/XwGzkQO9g21sPPWmTGxVX/vzUZS7MNjTnOykqemGMHyjakdQdPwXhilkrwxAQKxxbc3n6szaTvuaOgy4iYoJQklYE1VaIAdTbuuO9t5zhhxcXaPgRxYyNF8UY6ILmTN1nb1+WKFEIPTSYwzIF16s+TS8miBTvODzAIwf6AX2/mG8GGELgJiMsusOuFXYvzLbSbnbdC7ENQYhOUA0hyNkGR0dWJ3/d4hWdrn6lGZBxzHSf4HbvVY/fP8R3z80SSkUQK0whKDgGj9+/vuDNzUSP23BP2uPtjJXnYbbu8eOLi1RbITKp6DT9CCFAxvBXz1/l6y9PU8pYvHFfmUf2l/nxxUWafowXxlgGJJqERLGmG3mJCOHWB63Xhmsl5SUFGcfkTQcH+M1HD6zJ19tosqgTf5ydqpGxzaV9hHWfk5vs195t3Ax73NKeP6XUFSGWzT/c0cTWW4GNDl13ln9+RgeV1VZIGEs6PYF2oP8JrKRKGK1sE9wAOkIUBwayPDBcwHU0qd4LI85O1Vlshfzi0UEePzrIs2dnt7zXaCeVip0+z2b8i17G3WKPt7L6/ORDo/yrp8+lkvWOZTCQd1JRhvVwYqzMJz5wjC+euswLV6ostLS6ZyuIaQcxBVfL3c8nC51BF2pWVjgDqYPOzreDWK1yhIYBphDYplYEnay0lyfISuFHeiS8w50wk9dT6J+Vs6tv+a/NNamvMV4mVfL6Ct5xZICWH3NuukErjHlwb3ldwvudbHvroRdtsjvBK2Qsjg7nKWdtvnjqsh71zFoIFJMVXcwIwohI6gQqPRtdsIQe8zwwnOHSfBsvlEzXfTK2oNLWxYQ4VuRcAz/UfkwCrTBGKd1tE0DWtigOWLSCiAtzWtRBCKi0AgYLLnHSXuwEZEOFDO0g4vJCmzd2LXMH3YnsZrFGiVS8VHrPbNHV9hDEioxtUUzoDfv6snox/RqfW7d4RdG1koJPm6Giy2zdSycHCq5JaZPiUQcffuwQU1Vv1f2n0z251eh1G+5Fe3y9sVFMuvI8vHytlvDwFK6tRYrihNuLgCBSSBUSxZKXJqvkXQuptMrvfDNM7UqwdB/ZQKIiFYaK1jDIzmqijs8EgSH0CPa//EcPpYJNK/l6m00WdeKP7vtEp4h6q7vgN8Met5L8XRFCPA4oIYQD/DPg7I5f8R42PXTdWX7NC6l7EUZyI1PoMcwOZ2/lktgbRUclCQELzZCFfMD9eYfpapuXp+r052zeeXQA2zL53Lde49hIYct7jXZSqdjp82xV5a0HccfbYzpnf63Gq9N1HtxbSrtx2z1D2+EMdttY99eb4cRYOVXk+8SXX2SsnOH/ff6qXpVgCpQSy/i16422rHRsa/nCUCosU+BYBvv6sqmDmq17+LHCMQ3CWBKppHOXjG8LBHvLWU6uIc7y6nRjFXerG5YBI8UsFKE/71LO2mvu8+z+PO5Q21sPPWeTZ6eqyxK8y3NNzl2vUXItphs+KJhvaAESvdJB0PR1gqaS8c2VMBIV6ul6yNsPD9AKYq5V2prPlpxFhaLmxenjBXrfq2kI/CjmudfmGcjb2IZgsRXhWIIoUsik7nlkKMf1qoch4MpiK02U8o6Jba4eTS66FpV2yEzN08WVpCiStQWzdZ+FRkBfzsYyBaMlvXgaBa5tcmKsuKr7DqvFKzK2iWuZVJsBz09UcC2Dgmumu8zOTlW3JIj2+08ev23UNXvchnvOHl9vbBaTrjwPYaJA/8yZGdpBRKtbGEklBU6pVeQbfoQpBENFh3LWYrrud//qlpF1TeJYLXstXdjUWhSgfWZH6NDcxH1vNlnUiT1LGa2zkbFN/EjvN73VXfCbYY9bSf5+D/i3wD70YstvAPdmp28Aax26xabPJ796hoMDOZpeyCvX65iGQSuIqLQCsokMbrCifrUNMbJN0elISCBjCkpZi+tVj6mqx/Waj2MJShlr2b6n6zWPw8NLozGdishH33Ufn/n6OC80fPwoxrW0xO9vfWD9oHEt3EjF41YrjN4i3NH22O2EDg5k+MGFRS7MNjk4mGUo7zBdCzgwmN3SEuTtcAafPj3NgYEcD+1b+n61HW57tKPphXxpfDbp9ClykYlpLE/+tovUhyXqZZGEgbxDzhF859xMuovIMQS2bZJ3LNphjFIKwxAc6M8SSdg/kFu1l+jp09N6gfxK1cYudKqesPXO6x1qe+uh52zy6dPTuJbg0nxrSWRIJYkNkLOhHapUQCznmCj0OLK/Dp08kHonpCn07z9yoJ9TF+YptEOuLbaoJfu8uiHQHTjLWOpoF1yby/MtIhkjZdLBNkRy9jyytkG1HSbqmIIglNTaIfcP5fnBhXnCWDKYdxgrZ+jL28y3wtT+Ou7SsQQjRYerC3o10kjBIZYwkHd5y8E+houZdce+SxmLK/NNJhaaxFJhGnpE1Nc7W1KxKIDjo4Ut30NuN5u53a5nG+g5e3y9sVki1CmivnytqmPCSpupShsvjGiv0Y6LVxQ7FQoviGmtI8zSQYfr3vk7ydeGANswGMrb+FHMfMMniFcXUh0THNMkVgovknz2mVfXXdWy2WRRJ/bcU3J55Xo9WWMDhwZyG8agN0ukbrftcSvJ36NKqf+u+xtCiN8D/nTXruIOxloHYeWhm2t4vHK9Tix1ZXN8ukEQS/odEz/Soyok+492G512eqx0h8BUkHdNEIKGF9IKYiKpUEoRxwZXK20aXsg7HxhiMO+w0FxOau+uiMjE44rEjOUOIuAer0DeDNzR9thxQkEUc2m+zWjJZbEZpAvS33KgzBv2lDZM5Do2940z13FMg4f2lTCEvcqhdWM3RkyfemmSF65UtHCLCXEM9STgdUyBvwM2uyH08lvXNvBCiZSKobzNLxzp5z987zKtIAa0OERbKmIVkXEshosufhgn8vomj95X5nceO7Tqfb98raptf53Xdy3IdiV/PcT7uZXoOZt8+VqVpq87U4JEpTM5nqaAdqQTJC9U+LEiTPbA9ucc6t76NhHFCmEqnjuvVxQ0vIiiayKVwkxWm3RbgUweE0uJF8LBwRyFjJVQHHTSB3pNSsY2CGPFmw/08eNLC7TCiLqvO9O2oZUx37ivzPWax0IzpNaOQMHeskvdi7TgjFQIVDJiZnBwMIefLItGwbHRAoPJ4vX1AjzbEFTb4ZIar4JWIMm7JqWMle4JfWhfaUt7Qu9h19Fz9ngzsZVkZCP/1ymixrHk/EyDhUaAVBKBWDPxWwtSQSuUZO2NBYz6chb1dpTeiyxD25dtGUiluF7zKGVtTMNAxUsdvo5rjWLtsyyhJ26uLK5ve5tNlXXHnq0wTtU+Dw8X1k3oemlFylaSv38hhPCVUt8CEEL8PvAe7lJD2g7WOwg522Bivsn1mk/N005GL9ETPHt2BlPorls+Y/PEyT187/wMz1+u7vg6uqspK7+nANM0yNtGssdPX0enutoOZDJmZhIl0tjtUHJ+pqnnodu6E7eyK/f06WkODeZTAjzsrJMCPV2BvBm4o+2x44R+eLGGaxlkbJNy1ubCXJOhgksrUhsuau22OZQOGn96ucJbD/Ut24+3ElsZL37qpUm+cGqC6ZqHKfRYaCgVo6UMT7xhiC+cmqDWDpGKVNkQ9LqUnGshvUgXUrbxeeRsg1hCrR1hGOCYBgN5l7958TpxrCi4FgqTSiskjBWxgoP9OQ4MZPnp5Qqmoflcjx8dTD+n7mDgzFQNgSSUyzmGAhgpOrSDOAnat66Sdhei52yy5kUEkcLoTHt01RU7gZfXpR4mlR7jmqx4G55fhe5Mt/yIb74yw1DBpR0axIp0WsSP5LJxylhqURnHFBhCIBV6BLPhJwJHAsc0aYeS/RmtCqqE3hUYSZAGqGTc+fBwIZ1EqbZDvvLCVY6NFDAMXd54bbaBbUArVLzv5Gjy3hRTVY/3HNc2/OJkldFSho88dnBNv3N1sY1p6B2FHWXOVhAjEJzcW152D6m2w3vFkluPnrPHm4WtJiMb+b9OQfbMVI1WoEVd/FARq+01I7xIEsQbP2Yw7+KHEhXphex6HFwShZJ2KDGBqvLxI10YLWcscq6eCIDticVsZapsu7FnL61I2Ury90Hgb4UQ/yvwJPCG5Hv3sAnWOwjT1TYvXKkQxQqpJPVkX9Jw0aHh6YpizQtp+RFzI3lm60G6/2QnWOth3d8zkIwWs1xeaGMZkLcFsQRdI9W/65gGsdTEfKkUcw2tvPaxJ+5fU0Xp889d6mWp6NsZd7Q9dpxQRzABlmb4i66Z7gGDtc9Tt80VszZ+GKOU5O/OaWEixzR4aG9p1etu5gi6F6iHYcSVWoAE+jImYRTzb79ZSZUPOw36jskGEvB1Upi1jS138AVa/VOIpdG3MFZcr7ZpBDG2IShkbESSDNc9/RrzDY+L800MBPsHMtTaIZ/+2jkAjgwXlgUDphDU2nr3kkJCorxmCLBMg7ccLNKKdHB8r+u+LnrOJstZi7oXbEtaPZSQsUh8w9roKM4CyFghpWS6FiSBHNimRSRDHHRhJpLgWAaGARnTwI8UQindLbdMDKDhR7RljG0K9hRd/u7cDE0/xrUNXEsQK80DclbMoxYzFrZpMFlpL+v8WQb0F9z09+pJV/PZs7OcHCvxjsMD1L2IZ8/OcmS4sOq81/yIgwMZKu0o3Ql6cCDDQmtpvUMviqTcQeg5e7xZ2M4459XFNsdHCxwcXK7m3InlGl5Ey49oJqObOwlHN+KWA1yvekRSkrENUHo3aPdDYiBOzNw1hZ6KY3n3ryNIFUm4b2DtHdSwO1NlK7uqL1+rcmJseXxxu8a9myZ/Sqk5IcQHgWeBnwK/odSNMFhuLm7VUuit4MxUlWorTMdAjo7kGci7fGe8rqXfDUAZuqqqYKamdwyZhkEcS6ZqPn/506tabvsmXaMAYiWYqfsYKMIIFsIgTfoUEMaKZhCRc6xkBBQGC25aPVqpogQ9LxV926LX7HEtbEVVzDYFfhiD0JW/sVKGuh8vU89b6zx1j68cHc5z6rV5FltaaXM479DwIq5VvVSEoftasrZBGMVMVaNVjuALpybIuxaWIZhp6GKMJfRYZyPQC/w6HZNurkIHUudV2xrddkwdaHecmpKQtXSnIYwlfqh/lnNMHMvAtUwiKVlsRzimgWMZzNQD/TPT4AunJnjsyGA6VvvDizXaYYxUSr8Hlha7F1wTQwiu1wP292df93vp7YxetMmTY2W+c25m24/zkm7heu+u8+2OSmzdi3j0UD9npuq0g5i8a2hRInTXri9rkXVN/DAmiCSljMVrc03tY3K29ktCIARkHZPDwwWefvk6kAgyCTASYkF7BSG+7kXs78vws6u1Zd8PJdznGsu62Tlb+9wzUzVmax5+LDGFVtT9ww+eXHbuR0sZZmtLHVCFHvs8MJDjvSeG0+mAjbqHtztupzhqu+hFe7xZ2Mo4Zzlrc2KsRM42OXddqzmfHFtSc97Xl+XibINKO6CxCWfvRtEIYlxTC00JIWhu4C/jZN9MEEmtep84Sj+U2JZBKWPy8fev1pjYrbO9Vlf16mKbnG0u08G4XePe9ageCCHqQoiaEKIOnAeOAR8CakKI2nqPez3R+ceotsNlLe6zUzsfmbyRa7kyr5XOOnLQP71cYWJey6oPFhzuG8rr6nuH1wBpmzuQ2sGGnYjyJty6BHoxZy5RSpPoSopMlAK7qzSOITAFBLHk/pH8Koe4Ek8+NJryJqRS6d9XCk7cw9bQi/a4Fjaz0U417sG9JRbbusT35oNljgznafoRe4ruhudpX182XVswXMyQdy1Mw8AyDVzH4h1HBjg0mOfp09PptVycbTAx3+RHFxf56eUK7zk+xMffd2zZ+Z6ueRRdk4VWkIxHa3RUd7vRKZp0Y4vUiGXwY/04heYx2JagFUoqXpQKYfhhnHRKQ2KleHBvOXnPeoTOMQ38MGaq2ubnVys8c2aa69UWz09U8MOYkmsmhPxE6Te59qoXs9j0OTZS4MRY6XW9l96u6GWbPDaaJ5LsqKjY7Rc2e3wjkFxbbJF3TQpZC5X8zzENbNNgqOiwvy9L0bUQCO4fzlN0TWIpmW+FGIYWGcs5JqVMp/CjkiXsEMZ6lMwUukh5aa6x7P5wbZ2K+9VFLWRWztr87i8dZrruMz7dYLHp65HYUNL0I65VWqvO/RNvGGK67tHy9W7Olh8zXfd4aG8h7R5+8JG9nBwr8ezZ2Z6zmdspjtoOetkebxa6/WEH3eOcnX2Vz56dZrruc3xPgZNj5WX+79honheuVHCMm9WCWA4/VlTbEU0v3PD3LNNAKUWlFUAyNl5yTVzb5MhwgX/5aw+tEnvZzbPd3VXtUFGOjxYYn270RNy7budPKVW8lReyG9itedvdqAw8fXqaY6MFxmca6WiIH0nOTTcoZqzUaS40A538JeNWUZdn7QSRtgDLMmjvsuBLh59Rb0dYlub9VWKJQAfOi62AMJbkHYtQai7gWDnD8dHilqSr7wm17B560R7XwlZs9MRYmT/+9YeX2eF9QwXe/+DomiPG3Vg5vtkOY4YLLm851Jeui5BKpTvy4lgyPtPAtQwG8jY1L+Jz33pt1bjXaEmPTwYJF0EpLbJioIWSok3m5250ea3eoaSWEeFR+jnjWCFVzJ5ShqGCw8+vVoikwrVNbNPAC7W0vmNqdcQfXFhktOSSsU3mGsvvN6ZYksNvBpILc00KGSv97G5H7sLrhV62yfHpJn0Zi5ofbTjGuRt4da7NsZECv3BkkLNTdWbqPq4luG8gRyuUzDcD6n7MWw71cd9QIVGWNqm0AmpeTMYyGMq79OUcAAquTcOPcCzN87MMvZsvZ4pVnYu//tkkBnpFRQdRrGiGks986JH0ezUvAqETOcvQgaUX6mX25ay97Ny3AsXbD/Xz6myThh9RcC3eNFzi9LUGJ8dKPcH32Qi9xFvqRi/b41rYjTh0IzrDnzwzvmpf5SvX67TC5R308ekmbznYx/Waz6WFWzO+2IlNN8JAzqYZxMQSSlmLR/aXeWC0lE6craXyuZtne62u6sHBPK0wppy1b/u4d9OxTyHEPwK+pZSqJl/3Ae9WSv1/N/vitovdUOzbjCC7VYOcrLQ5NJSnkLHSpa+ljEUpazNSdPnhhYVUUTPsIsF2H/jOzr1QQiR3N/HrDkb1HLWkL2vEDPtoAAAgAElEQVRhCoEQKiXm5l2L46NFGn7M+06OpuT4reCeUMvuo5fscS1sx0bXOj9rjRivfEx30WGw4LKn6KbJCyxVPicrba7XvFRYBrSM+3wz4OnT0wBLz5OzmZhvgtK8p0awVJxRSeHGTL7u2JVtLPH/yjmLxdY6GvlbQCiX7/Q0hKCcs/EjiRfGjJZc3vXAED+8sIgkmRqIZSrYghCUMxYP7i1xYbbJYjOgnLUTtVBwTX3vkSwlAobQ4hYNP+Lx+wcZLNxTLlwLvWiTZ6aq9OVsKu0oFX3ZCbZKRZdKMVrKMlrSdIAwihkqZpistHns/iHOTFV5wx7NlTk6kuenl0NGSxlyboSB5roeGdYS60dHCpyfrtMK4rRjbRqCdz4wzGg5u2oPZaeommiqpY/pRjlrMVNtM9/QK1pMw8AyBOWster+NFlp88YD/TxycGDZ+/vqi9d4x+GBZc97u/J9NsJuxFGvJ3rRHldit1QjV/pDx9RrST7/3CVevlbDNY20qNLZY1dtL/dTk5U2QRRzYbax7Ps3IEOxJWwU8VoC3npogJ9drfLOowN6D22Cjc7qbp7t9ahNnc7p7Y6tCL58Uin1lc4XSqmKEOKTwI4NSQhxCaij845IKfU2IcQA8BfAfcAl4DeVUovbed7d4JltVBkAUoO0DPj2uRm+8sIkv3h0cJWMeudahouZNPDsXNuTD40yVfVYaAYEsUo4C9qMuo1J0cX32c4HsQU4liCIVVrl19C7lCxTcHiowKW5ZnrdDT9aks5fIZjRy/yAHsSu2yPcPJtcibVsdGK+yVTN5xNffnHD87PZOVv584++6z6AdMxjLUXaH16YJ5KSMFY4loEl9Ojzl39yha+fvs6x0QKHhvLUXYv9DZ9KK2SyEiFIeLhd49FGkuwZAkwhEk6CTgLbu8CV6BSGBNCXs7FNI93nFyu4MNuimLEoZ238UCKVIoxjFIKxUoY9fVmGixkODma5VvGo+xE5x6QdRESRYuWmv1iRiMgozs82cSzztuQu3AboGR8J2k5OX61Qaev9fpuJMGyErT70/GyT/+Obr2IaMJCzyLoOv/amfXz0XfdxYqzMZ58Z10lhHHN+pkkQxSw0I/KuxbHRAlcX23z/tQXNo3v8EFcXW/ybZ88jld49+Mi+Mv15hzPXqukS6ScfGqXgmNT8OB3N7vxZdJZLzo8UXM7IGqaxZGdSKfLO6oXO+/qyvHhlkfGZBk0/ucaRAqOlzKol87cr32cj3AF8/Z6yx7XQHYfONTzOzzSZa+hd0JtRblaiU0TtTigHChYGMN8IsE2DvqSQiNIF0G60/JBvj88m0ydLNv96kCgFmgJxdKREMWvhh3EyZVfk6EieoUJmw7O6ry/LpblGqrRfytjsKbncN1RY8/c3wo3soL4dsC7nb5Pf2UrSuBneo5R6k1LqbcnXfwB8Uyn1APDN5OttYTd4ZpOVNsUVh79TGejeQfazK3pGuC9rcfpabdXc8Mpr+dnEAl95/iqff+4Cv/1nP+DV6TrVth75VChsUzuxWwU/UunOJZH83zIEOdsk51hU2yEZ20ChR+RytoFjiGWCGdC7/IAexs2yR7gJNrkSK+3i0lyD5ycq7Cm6G56fzc7Zej8H+N1fOkw5ay/j+JwYK5NzBNM1j/lGgBdGLDY8riy2WWz5VNsBfhQzPtPg/HSdM1M1Kq2IgYLLWw70MVx0ybkmtiEwgIylSeoFR+/62j+QZawvQz5Zjm0IRd4xbki4qUO5UEClFbDQ8JM9nFpa/+pii9m6j5fs99vbl2W06OJYBs0gZrbmcerCPEN5J1U+tQ2d7K7Xk4yVHol74fIiZ65Vb0vuwm2AnvGRAH/wly9xvRbQTpT0buRMWluJIBJ0RrlmGhGeH3JprsHH/+JFfutPv8+zZ6f525eu8dRL11lo+BRdi6JrM5h3CGLF4aE8o0WXhUbAv376HF/6ydVEAVshlWJ8psH3z89R8yJGi25q/325tf8Z9pTdVdeWsUz29mUpuDZZ28RMxKZWxhA5R3Dq4gLzDR8/0AunT11c4KG9hTuC534H8PV7yh7XQicOnWt4/PRyBS+MGcjZLDSCXeOo7evPMZC3aQQRDT/GtU2OjRZ4cK9OLJ96aZLf/Pen+MaZadqh0s2C3XqDW4CJXuUgkj/LWYv+nI1jWUzX2vzV85PU21oVf6bm8ZNLi1yaa2x4Vo+N5nl+okK1HVJwTKrtkOcnKhwbzW/7+jpd1bVii17AVgziJ0KIPwH+T/Q98mNoBaXdxq8C707+/gXg28D/tp0n2A2e2UZVr7V2kCmlqPvRKl5A97X84LU5XpqspLygptQBVdY2kFLpbgEgb6FpGUKPwMhEsMI2YSDv8Mb9ZWbqmvR+YCDLVMXDj2Js08R1LB7cV8axzPS99io/oIdxq+wRdsEmV2KljU7VfN58oC9Vx1rv/Dx9eprFhsePLs6nPJsHhvNbOocrxVtAJ4tfeWGKoYLDQjPADyWh1A4HBErBZKWFjGF8uk7BtXBMweRikyBW5BwT1zIIohiJVkEUKPpyeqw7Y2vi+QMjBi9cqeCHmkubsUW6P2271t7doYkkRKhkfYTehzRb98naJhnbxDIUc8kIWxhJhgsOQwWHWjvkcitgKK9HfbKOpVUTN7maUCouzze5MNu4Z9er0TM+8qmXJnlpsrZqwmSnWPJd28NsM+TcdAMviJit+wwXXVpeSAxcWojoy9q87VA/16oeEwtNTMNIeblnplo0fb1UXe/Zg7lGQNsx2D9g8cBoIbX/qaq/5utfWWjz2WfG0zhhpu7z6OF+Lsy1iGKFH0uKWQvTFKsCur958TqmAmEIpBKYQqEk/OhihX/9oYd7nud+B/D1e8Ye10MnDj0/00xjTS+MGSg4q2LNrWLlyOPRkTyVVoAl4YkTI/z8aoVvj8/yzVem+Q/PXSCSitGiyzbX+e0aMrZ+364lGC1laQQRi82QvqzNbMNHKj25lrEMap6eYpmq+Rt2Rsenm7z5QB/X676mYmVtjo0UGJ9ubkopWQu9TG3aSvL3MeBfoNvbAvgG8E9u8HUV8A0hhAL+vVLqz4BRpdQUgFJqSggxstYDhRC/C/wuwMGDB1f9/Eb/MTZq5T59enrNHWSmEJy5VuXKYptTF+YxUNT9mFYQkbUtpiptglAhDC3cADqQawYyrebfavuKlXbaHb7EE28YJp9x+ONff3jZ733iyy8yVs4kAaJGRzADep8f0IO4GfYIN9EmV6LbRjvnqxtrnZ8fXpjjzLUajmWSs/W+v+9fWOD0NS3i1s0Z2uh5Onj69DRhLNnfn2Mg73J5vknkxxiGHtkMYt1RU8kn0/AiTEOLu0gFTT/GMgTd3HjD0B24ySimmNXJ1rmpJu1QpousDSHI2AYjRZeFROhiJ5BKdxvNZNG8Ssbf6l5E3dcdmaxtgYDHjw7SDiU1Txe1lFRYpsG7j48w1/B4daax+QsC/XmXL5yaWJNIf5ejZ3zkn377wq6XGDt81xgtGNQRRLJMgZcoFHWXFwz0+XUtg1pbd+4sIznHaPtrBRGvXK+nxdX9/bmUl+uF+vf8SCZrJ/TXXiR566E+hgr6flLMWGlyapkCKRUyee12pLg42+DQUH6ZRPtjRwbT99UpAq+MJ64stihkTGxraXQ0jGKuLLZ6OhjsRo+/j56xx/XQiUPnGj4DORsvjPEjyYN7S1uKr556aXLVypG1Rh7HyhlmGwF/9fxVrlc9VKL03hEWu1bxVtEBbib0BJre8TlcdBgtZTkynCOMtWDZDy8s0PAjpFJp4ce1dcde79vMbXhuO1oc3asYuuPZbtzpdKat7Plrsovt7ATvVEpdS4zlGSHEK1t9YGJ0fwbwtre9bddbZZtVvVbuIKu2Ar2PxI/ww5jZusd0pY0wBLZpYhUEi8niVyPJ8Lov+kb4FjcCS+iE07UM+vMOo+Xcsm5nB5vN/98B/ICewk2yR3idbHKr52disY1hGLi2QRBpeXeVjCT97UvXqLRCwkjyyIH+DZ+ng8lKm8G8gx9J8q6Fa5vIZOk0Itm1KSXJl2mXXMYKx9Qdj8aKxM21jHSfX842uLLQohXE2JaBkYyQRSgsqbiy2L5h2xdCUM45KCVph1IvsQYMlaj4eprTdXm+yUgpy1sO6sD46y9PESTEpvMzTbayAksARddkurY1sae7Cb3kIycWd78opwAECKVXB+lGsh6D9iJtI7a5XBFXc3c0ZzVjG8zUPc0pEmBbBpFULLZCTGMpUeygw6WVUuE6JkpBFMeASBM/0Oe/s5MwWEPRZnymkSrZHh8tcO56g4GCuyl/xzYNYqXo9pax0t+/h9cfvWSP66ETh37yq2dYaAQMFBwe3FtiuKgpDRvFV0+9NMmnv3aOvGsxkkx7fPpr53jfyWF+eHGBKFZIJZmt+UglOTpSZKoSL+lLdF1hINVNF3bpxoN7S+nqM9c2+YUjg1TbISNFrZ756OF+nj07k1CVBKWMmaxCMlhohjx2/8Zx51bjjd0S3LmdsW7yJ4T4d0qpfyqE+BvW+LdXSn1wpy+qlLqW/DkjhPgK8HZgWggxllRQxoDtb6DdJaxV9epUARp+SCwVsw2fPaUMhYxFJElHVxp+hBIidW7NMF5mPGKDBbm3CllLkHPtVE10qOCu6+g2I7X2Oum1V3Az7TF5/Otik1s9P2lFMlbpYvJI6q71YN4hjiXPX65QztocHMxveg739WUJo5hz07rr5ZgGPgKlZLIyWgeyMsnvDJHsFUu6E52/d2AI6MvaRFJpiXh0kGok94IwXhrq3snOv7UQS0UsFcPFDAutgIYfYQo9LiOlwov0tVbbEaWs3jP61kN9uF0di5oXsoWpT0AvtB8tZTb/xbsEvegjbxavPFZa2MgQYlmyVrAFjVARruALZS24utDCC2NiqWgFsZ6CERCrpT1+figZLrrUErVsP5KpP5VKL3bvPM4QapWw03DBYboerLpex9DXeH62mYggbV2i/e2H+vnu+TkEenVKGCv8SPJLR4duxkd7D1tEL9rjRjgxVuYPP3gyTUKKGSvlX24UX33h1AR51+qiQGhb/NsXr2ObBsoAlKE5rYGi2gqpJzv11ro73Kpw1bUEjxwo89PLFRxTUE/e68rJuyPDBaqtgLlGsDRB4EVEMmau7m0oHLfVeONuoDNt1Pn774F/CnxmN19QCJEHDKVUPfn7+4E/Ar4KfAT4dPLnX+/m694IuqsAb9hTYl9fjisLLUZLLt97bZ7RoksQxURSMl3zUrUw24yxlIGVqAB2qvKvFwy0898/kMMxDeYaPg0/5qG9pVVqpR1s1gm9A/gBvYKbYo/w+trkVs/PgYEcszUPP9bKnFIqbAMc20AIwUgpQyRhquZjJ6qUG51D7QRaHB8tMFX1ko6F4I17i0zVAmbrPlEXnymWCiNdLK0DXUssBaGW0N0FUwhGSy62aeJYIVYiqCLV7kpjd3oMrSCm4UfEsd53ZJv6fQRdyWalHTIU6A7L6ckaQwU3FXIouhamYSClxDDW360kgKYf8bFfvn+X3sEdgZ7zkY8e6udrL0/v5uUCS4JhjmXSCmO8MMYwDJ44PsK56zUuL7b1XkwBg3kLIQxmGwF9OYtY6i6eQnfMpdLPZZmCcs7lE+8/xue+9RrzzYDBvEPB1QqendeNle46HhzIrUre/CDim6/MpGIVHRvMOhauZdBIFmBvR6L9Y+99gLlmwOX5Fq0wJmOZnBwr8bH3PrDrn+s9bAs9Z4+bYTvxVadB8fK1KiXXwjIEeVeH+EXX5LXZkBN7imSdpbB/fLrOXNNfak6wPR+VtQTtXahmGkInY0OFDG891MfpyRoIRTlrr5q821N0qbVCSlmLaivEMMALY0aKGWzLZKBgrdup2+rneTfQmTZK/l4DUEp9Z5dfcxT4itAcMgv4f5RSTwshfgx8SQjxUWAC+NAuv+6OsWYVIHE0v/amfVTbIc+9OsvlhRawZEC1dpTsCbKptsKlskqXraw0trWML5Mss93uLibHgLFyFsMQCAHFjM3ecob5luYt7ilneXBviU+t4PltFz3OD+gV3Cx7hNfZJrdyfj7y2EE+/bVzlDKaszbX8EEIRotatc+PJHv7MhwcyC1b3rzRa3acgG2ZPHb/EDlH8M1X5vCjdsrRsy1BFGo1zFAq8o6ZrE8wyJoCP9TjpwXXYl85w3wjIIylTvikIpJaHKYVxDvepdaBm3QZJODYgv19ObK2DrZN0yRjx4SRpOVrERoDEp4hzDcDSlmLjG3yiQ/oAPfp09OUczYZS+80K7gmc40gvc7u25VrG/zBf3X8Ht9vOXrOR/6z9z7AN85M3/BZXAnNwVN4UYRrGeRcE6UErmPx737nrWnVvuNDT12YJ+d6+JGkYBm0gyhN0I4M5bFMnZi948gAv/LwPo4MF9KA7WqljWMJ/Ejvo82aBsWMxUAhsyp5y2Vs3vOGYb53fh4/inEtk76sTdWL0m7iVrop3TgxVuYPf/XBO5oP1KPoOXvcCrbiH7sbFOWM3t86VfUYK2fIuxb1hKO+srPnmHrlV9Y2qSd+Y6vIWAYDeUc3PLZ5P+lcR8bWQk51LyLvWEilsE2TI8OFDRO3VhhT8yKOjhQ4OVZmtu7hWNo3/+hijZoX4pgGXzx1eVV8u5XP826gM22U/A0LIf6X9X6olPqTnbygUuoCsCo6U0rNA0/s5DlvNjaqAnz0XffxZ9+9yEIzgISEGnXNSTf9CNcyMU1BwTEp5x3mGwE1L0qDs86uvYwFrm2Td7WghR9JoqSCb5uCeAMLcww9Ttbp7o2UMuRdm/edHE1lbzs3h6OjxbTd/eHHDm343u+G2ecewU2xx+Sxt71N/srD+7i62OILpybS/WRl12Sw4KZk+EMDuW3dnLudQOecnxwrgVKci+s0g0gLqTgmeUN3/SRw/0ARQwgipbAScYq5ZkjVC7Esg0f2l8k6Js+9Os98wyOMDE1O32bELYC8YxJLLRgTJe3D/WWXf3B8JOU3SaX48aWFhH+skz2ZTBpYQH/eYaysP5d3Hx9Z1rUHzRH546fOMtdcSvxsQ5BztHJoxjY4tqd4L/FbjZ7zkSfGyvzC4QG+f2EBwY0LjXUrfUp0R1wIqHsxhwazqTLhSh/a8CJytpHuxTs6UmS24eGHKuXCHhzMpf6p21b/x//0YybmW4kSoIEfSbwwppxdHc7oIM7iHz7i8vxEBdcyUEqRS7ofpaSou91plXsFz9sSPWePu4XuBsWbDpR57vw8SJhv+ERS0fQj3nKgj8sLbcKaRyS1yJJSupnhmgYTi01tf13PW3K1ymj3mloDHa/u788wUMhgm4JmENMMdMdfj2IKrZC/2CaSKvUrBppOoZTu2AeRpD/v8ODeIostnbBu1N1cz+4+8eUXUUS8MFHFtQyKroUXxvz9+XnOTlW3bat3A51po+TPBArc2BqgOwIbVQE61YhvvTJNzrWIpcI2VBqshQrGCg6mgMVWxEIjoJyxiKRMuX8dPtHevixPPjTGx993jLNTVT751TNcnmvQDDSZ3YzjZVX57lDSNA1GCw551+ath/oYyLtMVb1lldCdjGfeDbPPPYKetcfdUM06O1XlletN3n9yD8WMxc+vVnj+coVrFY+9fRkODeQwTWPHu6i6z3nD1yItA5aDbRns78+hlEr4cYJHDw8uuxd03xu6//5Lx4b46eVF5psB+/qzXJ5rabGoDZLA7m6bQotfZA2TvGOSc23efKCMbZmr7kVSwdsO9fPi1Rq1dpgG5YYhGC64KKWotKM1P58jwwWO7Skx1AyYrLSJYolUMFhwGC5mdrwE9y5AT9rkP/+HJ/kf/uOPqLQjvGjJD22GVJlagWOCIQyCWKbqnaADOlPpTnHGttIi6Uofahpwac4j55gUXc3lk0qrcrbCmGLW5jfeum/N+8TJsTI521ymWnjfYG7NM9oJ4jpB8dmpOpV2xC8eHVyX6nAPPYuetMfdQKe4MtfwmG+GejTaC6m0JQcG8+m4/h/9zRkiqcVSIqmVNX/77fuZmG9T8yOkVGRtg2qyiqw/73LuulbU7nyopiGwDGiFksNZi2rLpJxzcC2D61WP61UP0zAYKrj0Zy0uLXi0ghjXEkSx1HQKA1zTIFbwnuPD2Kb2aVsZu14L+/qyfPvcTLoWAzT9oT+3s7UYdwOdaaPkb0op9Ue37EpuY2xWBTgxVub4nhK1FQniazMNpFIpv2ComKHmRUxV27z5QJlXrjf1z22TgmvSDmUanK1F9v3iDy7T9CIMQ1f7OzyiUJKQ5iVv3JdjqLC2ItROqpV3w+xzj6An7XG3OscrixCPHOjXy1VrPgeTjt+NjF51n/NCxmK+IVBoIQfQY6WuZfLg3hLVRL135b3g889dWmYrw8UM739wD1NVj8986BH+8Z//hO9fXMBvLZHrV8bdw0W9d1Aq6M/a3D9SwI8kDS/iTQfK/M5jh9a8F5UyFifGSuzrz/Ht8VnagR7zCWItPmMJwS8eHVzz83n69DSHBvM8vL+P2brH8xMVgPQ5e2zB861ET9rkibEy//y/OcnnvvWaVm9VioYfESbV/Y7ceqz06gbbMsg5Fo5lkLcNLi3oe38stfhKxw+BVry0TMGhgRyxUmmRdKUP9cIYhUrtuR3EtIKYsXKGJx8ao+5FPHt2liPDhXVEG1qcGCsts4G1zmh3ENfwI959fOTeiOadi560x91AZ43DuekGblKwrHkRKNK9d599Zpx3HB5Md9wVMhZ7ii6tQPGpX394WZF2YqHFnqLL4eGCXoMUS4TQ+2TzjqUFzNTyQsx0rU0ziBkqOig01cA2Df7oV08yPt3k2+e0Hk4sFVNVDwHYAk5P1jgyXLihrtqTD43ylRcm6c9aKKX9th9J3nSgvONY9U7v7m+U/N111ZP10HEgf37qMs+enUcgePOB5Yeiw0kCTa6t+zGtMGZPyVlWjShlLK5XBQ1fJ3rnZ5rpfPKj95U2JKfu78tybqaGYRhEkZ4VFYagL2siFQwXXeYaASOl7XEYNsLdMPvcI+hJe9ytzvFaRYiDg3lsy9wSx28zdJ/zo8N5ZqptFlohGVvzkRp+zOGhfDqGtlZFcDNb+dh7H6D99Dl+fHEBL4y1PD4CxxJ4gUQYgjjhCIaxYijhMwKpWMV6FckOpwpgIOdwxW8hlWB/X5ZHD2u57N9ZZ8S7+7MdLmZ4y8E+zs80mK77PLaDkbidogf3KvWkTQIpj+6Lpy7z9+fnKWQs5uoeSbwI6BEtxzIYLmZ4/P5BfnalimVoVVsv0P6tQ1uwEsEGwzDSHVyWEFTbIY/e18fTp6epeyGTlTblrIVlGrzz/kEW2xENL6IRRIyVXCxTr0XZ6D6x3ar8nR7E3UOKnrXHjbCV++KTD43y8b+4DpCOQgMcGy2kNrTZjru1aBC6sGhTb4ea5mAITFOQc2yGSxmefGiUz3y9ihfG1L0IgcC1TB4/Opg2Icanm8uSs5xjMpC3WWiG5DMWQSxvmEZ0YqzMu44O8vK1Gg0/ppCxeHBvCWfFlMw9LGGj5O+2mGW+ndAOJe84PJhWG7s7GB0+TPdizX/wwBCvzjSX7SjyI8m+vgyLrRDbNHn74YG0crlWcNZtkE+9NMnv/+VLRMlSZ9ALbnVn0CbnmLsesN0Ns889gp60x93qHN/sIkT3OR8suDy8v4+XrlYQhh6PeezIwLIxsbVsaysTAr//5HE++dUzXFtsI1FkkomAjmrawYEcZ67VODSQYaEVpWNtJ/cW03HR9YLZf/X0OSbmWxRck5GCy2wjYL4VEETxhs515Wc7XMzgWCaP3cAYznbRo9zinrTJDk6MlfnUrz/MUy9N8rlvvaYXpQcx7TAmihXlnEXOtXh4X5nBgottCupexKP39XNmqk5c9wgjScYSesyr6IJS1Lw4Ha18/Oggz56dTZall1KbeMsBF9syecOYPnPPnJnGMlimRLjRfeJeQncPa6Cn7XEtbPW+eGKszP7+LLV2uCz5GSy4qQ1tx4d2F1gO9Gc560fsKbgM5R3qfkzTj/jIY3phvUyC0UgqXFMsm2bp2PDK5Kw/7/LofQNpcrYbtvzhZCqmMyl3L1bdGOsmf0qphVt5IbcSO6kwb6WD8SsP71sminB2qsrH/8uLy3YU+ZHk+Ggh3cOynXni8ekmbzvUz+lrdZq+Hv+0DYOGH/OuB4awza0FbNt5/3fD7HMvoFftcbeSNl1hHOeFhp+q9g0VXH7rA8duqGPU/dicbRBEMVPViMPDBf7n99y/bRGIzWxlrXHujpPqOPTPPjNOtR1ybM9yXuFIcf0K5omxMnvLGRaaAUEsGSi4vP3IQMql2Oh93A4Fnl7kFveqTQKrRryOjxaWceYuzTWYqvmUsxbX6z6tMObBvSWmaz4jpSylrM3zlytcrbQ50J/l8FCOqarPYivkiRMjfDgplHz2mfE1/12DKF42Pt1JLN+4f+nfer3lyz3WHb6HW4RetceNzvR27osP7i2v8rXd9J/t3ufTAsv7jvHUS5PLGhsf++X7+ZWH9/HZZ8ZTysCpC/P4oV7Bcn6myVAhs8yGdyM52+izuherbg8bdf7uSOy0wryTDsaJsTIfe+L+ZTuK7hvMYRhG6hy3g8lKm4cP9LOvP8eLV6tcmmsSSkkkZbq/67c+sHnit933f6/Keg87xVYdzlaCuk6FsSNYLZXiwmwj7Sxst2O00hZWJmE7wVZsZTMntdNkzI8Vv3RsGEMsTT91j/Xs9HpuBe5xi28dVp77n01UqLb0ipL5Zshs3aPSCsm71v/P3pnHOXKWd/77VOnse46envZ4TttjxjYGg4EMEMfhCAYnQLIQ4BOIWZI42RBIYIGYZQnkgHUIibMhC4nDEntxOAMBg2Mbe8AY8NjG53gOz+G5Z3r6bqnVOqvq3T+qpFZrJLVaLbVU3e/389FM6VWp6i31+7ICSpkAACAASURBVHuv53nel5dt3XDeytD5+LnXP3+Q7QOdHBqe4cxUimvX956n20p/16GYNafM5QeWQdPE8WIFS8u8T63DGk1F5ivTC6kXa/E8qbeeLzVs5Mnnb3Q6zUzG4vRkinDAXSm6dAuVxbYztehf91VrZ8UN/uqdYa7XglG6R9FiZivzeejvjvCCC2EmnWM648ZdwGznuBp+nGHX+JdaKvxaKvXiRUnyxFI5bt99kssGe+oqz63UQrVGqt5GcjFW1lY3mjq2eOkoLferu0KMTqd55NgkF66Kks65K28mszbjiQz93ZHC9z7w2u3nlZPrq9xrvpWyS+uBamVet12a5cZ8ZbpeV81qnieN1MqGvijHRhMcGvEWmumLcC7uegDkyoQbLOb+Wv+NZcUN/uqdYV6Ma1SjBFechyMjCSKhAJFQgBdv7isE184nBD3Drllq5iv/tVTqlcrtcDzNy7auPi+9lvLczlqop85oB/fNevFz3v1Gabm/uL+T50YS5GyHcMAglbMxDWF1Z5AjozP0d0fq1sVC/q7zlfl21qtGUw/zlem6XTWXiOuuGOADXzsHQmFti/7uMJcOdLG2O9LQvGj9NxZj/lOWFxv6okynrTlptcww52dVeqNBhmJpeqPBJXc3Kc7D8HSGnsjswA9qE0K9z6/RNIszUym6I3PnoUrLcqVyO9ATqbs8LzcttEMdVS9+zrvfKC33/d0RokGDrnCARMYurMa3qiNEwjuvXl008u+63PSq0cxXptu9Xtwx2MvGNVF6IgGmMxaRoMmLN/exaU1nwwdlWv+NZcVZ/trBgrcYivNQj5uUnmHXtBu1uLZUKrc37NzE/QdGz0uvpTwvRy20Qx1VL37Ou58oV+67IkG2r+tia38XY4k0j5+YKixUVhq7s1Ca4fmyXPSqWdnUUqbbvV68bLD6QjONQuu/saw4y1+7z6TUynVXDBQaZUepwvF8mzEvl+fXLB9qKcuVyu31V26ouzxrLWhWIuXK/ftedRGmaRBL5Vjd6bptAfR47tjtoAutV81yYzmU6Xr7ogtlOfxW7YSoGhYJaVeuvvpq9dhjj7U6Gy1DL3vdfETkcaXU1a3Oh1+oV5O6LGtqQetxYSxEj1qDmoWi9bgwlmufVdcd7cFC9OjrwZ+IjAInyny0Fhhb4uwsNSvhGaH1z7lZKdXfwvv7iiqaXEpaXWZKaaf8+D0vWo8LoESP7fS3r4Zf8gn+yWuz8qn1uACa1D62SxnU+ZhLK/JRsx59PfirhIg8ttxno1bCM8LKeU5N42i3MtNO+dF5Wbn45ff2Sz7BP3n1Sz41C6dd/rY6H+2Zj0qsuJg/jUaj0Wg0Go1Go1mJ6MGfRqPRaDQajUaj0awAluvg79ZWZ2AJWAnPCCvnOTWNo93KTDvlR+dl5eKX39sv+QT/5NUv+dQsnHb52+p8zKVd8lGWZRnzp9FoNBqNRqPRaDSauSxXy59Go9FoNBqNRqPRaIpYVoM/EblORA6KyBERuanV+VkMIvIlERkRkb1FaatF5D4ROez9v6ros496z31QRF7XmlwvDBHZKCI/EpEDIrJPRP7YS19Wz6lpHlXK0CdF5IyIPOW93rBE+TkuIs9493zMS6tYnpuYj0uLnv0pEYmLyJ8s5e+yEuowP9Bu7aLf6n0RMUXkSRH5fpvns09E/l1EnvV+253tmldNfbSqfWmXurxCPiq2aU3Mh6/qsLIopZbFCzCB54BtQAh4Gris1flaxPNcA7wI2FuU9hngJu/4JuCvvePLvOcNA1u938Fs9TPU8IyDwIu8427gkPcsy+o59aslZeiTwIdakJ/jwNqStLLleQnzZALngM1L+bushDqs3V/t2C76rd4HPgh8Bfi+975d83k78LvecQjoa9e86lfdf+OWtC/tUpdXyEfZNq3J+fBVHVbutZwsfy8FjiiljiqlssDXgDe1OE91o5R6EJgoSX4TbgWP9/+bi9K/ppTKKKWOAUdwf4+2Rik1pJR6wjueBg4AG1hmz6lpHlXKUDtRqTwvFa8GnlNKNXpz4aqshDrMB7Rdu+inel9ELgSuB75YlNyO+ezB7Rj/XwClVFYpNdWOedU0nKa3L+1Sl1fIRyWamQ/f1GGVWE6Dvw3AqaL3p2m/TuBiGVBKDYFb+IB1Xrrvn11EtgBXAY+wjJ9T0zxKyhDAH4nIHs9VpOmulh4K+IGIPC4iN3pplcrzUvF24KtF71vxu+TR2l5a2vp39UG9//fARwCnKK0d87kNGAX+1XNR/aKIdLZpXjX1007tSzuVrXJt2pLkwwd1WFmW0+BPyqStlKVMff3sItIFfAv4E6VUvNqpZdJ885ya5lGmDH0BuAh4ITAE/O0SZeUVSqkXAa8H3isi1yzRfcsiIiHgjcA3vaRW/S7zobXdHNr2d233el9EfhUYUUo9XutXyqQt1W8dwHWH+4JS6ipgBtftrBJtWy40VWmr9qUCS122KrVpTc9Hu9dh1VhOg7/TwMai9xcCZ1uUl2YxLCKDAN7/I166b59dRIK44vk3pdS3veRl95ya5lGuDCmlhpVStlLKAf6FJXKxUEqd9f4fAf7Du2+l8rwUvB54Qik17OWrJb9LEVrbS0tb/q4+qfdfAbxRRI7jusu+SkTuaMN85u99WimV93r4d9zBYDvmVVMnbda+tEXZqtKmNTUfPqnDKrKcBn8/By4Rka3ebPfbgTtbnKdGcydwg3d8A/DdovS3i0hYRLYClwCPtiB/C0JEBDdG4YBS6u+KPlpWz6lpHpXKUL4C9vh1YG/pd5uQl04R6c4fA7/i3bdSeV4K3kGRy2crfpcStLaXlrZrF/1S7yulPqqUulAptQX3d/uhUuqd7ZZPL6/ngFMicqmX9GpgfzvmVVMfbdi+tEXZqtKmNS0ffqnDqtLK1WYa/QLegLvqznPAx1qdn0U+y1dxTdg53FmD3wHWALuAw97/q4vO/5j33AeB17c6/zU+4ytxTd97gKe81xuW23PqV0vK0JeBZ7z0O4HBJcjLNtwVvZ4G9uXroGrlucn56QDGgd6itCX7XVZCHeaHV7u1i36s94FrmV3tsy3ziev29pj3u34HWNWuedWvuv6+LWtf2qUur5CPim1aE/Phuzqs9CVepjQajUaj0Wg0Go1Gs4xZTm6fGo1Go9FoNBqNRqOpgB78aTQajUaj0Wg0Gs0KQA/+NBqNRqPRaDQajWYFoAd/Go1Go9FoNBqNRrMC0IM/jUaj0Wg0Go1Go1kB6MFfgxCRT4rIhxp4vTeLyB4ReVZEnhGRNzfq2iX3OS4iaxfx/T4R+UPvOOLl9/lFn39ERP6pEXnVaJYjInKjp5tnReRREXllq/Ok0aw0RMQQkX8Qkb1em/tzb0+uZtwrLCL3i8hTIvK2KufdJiJv8Y4fEJGrm5EfjaYcIvKfItJXx/euFZGX1/G9Qn9URGxPH/tE5GkR+aCINHTMIiIXish3ReSwiDwnIv/b2w912aMHf22IiLwA+CzwJqXU84A3Ap8VkStbm7Oy9AF/CKCUSgN/AnxeXDYAvw98tN6Li0igIbnUaFqIiJgV0n8VVyOv9LT+B8BXRGT9UuZPo/EjlXRVJ28DLgCuVEo9H3fD6KkGXr+Yq4CgUuqFSqmvN+keGs28VNOQUuoNSql6NHAtsODBXwkpTx+XA6/F3UfvE4u8ZgFvo/ZvA99RSl0CbAe6gE816h7tjB78LQIR+ZiIHBSR+4FLvbTf82YMnxaRb4lIh4h0i8gxEQl65/R4MxxBEXm/iOz3rHxf8y79IeDTSqljAN7//wv4sPf9B0Tk70XkIW+W8qVeeqeIfMm7/5Mi8iYv/d0i8m0Ruceb4fjMPM/1Uu/aT3r/55/tcs8y8ZSX30uAm4GLvLS/UUrdg7sJ528DtwCfBALeb/Fz7/WKee7zbhH5poh8D/hBI/5WGk2tiMhfisgfF73/lKfTD3vld4+I/HnR598Rkce9Gcobi9ITIvIXIvIIsFNEbi7S+me90/4U+LBSagxAKfUEcDvwXu8ax0Xkrz3dPSoiF3vp/RU09UmvDnhARI6KyPub/HNpNDVTqhUR+W/F7ZFX93/OO35nUXvzz/lOahld/Zmngb0icqvXqUNEXuJpbbeI/I2I7PXSTe99Xsu/791+EBhSSjkASqnTSqnJont+ymvXHxaRAS99s4js8q6zS0Q2edc/Ki59IuKIyDXe+T/x2us7gBd6z3ZRpWfQaBaDiGwR16Pkdq+M/ru4fdLjXpn7KfBWEXmHuNbuvSLy10XfL7bEVdLjdSLyhKeNXSKyBXcS8wPeub9Ypb1aIyI/ELcP+M9A2XKvlBoBbgT+yNPVFk9LT3ivl3vX+7J4/V7v/b+JyBulfN/1VUBaKfWv3j1s4APAe7zf6N3iWgXvEbef/4mi61arm86rJ9qSVu8y79cX8GLgGaAD6AGO4A7a1hSd81fA+7zjfwXe7B3fCPytd3wWCHvHfd7/TwAvKLnfC4AnvOMHgH/xjq8B9nrHnwbemb8WcAjoBN4NHAV6gQhwAtjonXccWFtyrx4g4B2/BviWd/w54Le84xAQBbbk71/0/QuA08CPvPdfwbVsAGwCDsxzn3d731/d6r+zfq28l1em81ozgOdwrQK34jZOBvB94BrvnNXe/1Fgb74OABTwm/lzgIOAeO/zWp8Aekvu/ybg297xceBj3vFvA9/3jitp6pPAQ0AYWAuM41oYWv676pd+ldHKAHCk6PO7gVcCO4Dv5csu8Hngt73jgq6Kr+kdfxn4Ne94L/By7/hmZtvJG4H/6R2HgceArcCFnt6eAv4WuKrouqroup8p+v73gBu84/fgWhEA7gEuB34V+DnwMe9ex7zPr81reZ5nuA14i3f8AHB1q/+G+uWfF25bpoBXeO+/hNtPPQ58xEu7ADgJ9AMB4IfM9lWPe+1IWT163zkFbPXS8/r+JPChonxUaq/+Afgz7/h6L69rvfeJMs8ziVtndAARL+0S4DHv+JeKNNgLHPOeqVzf9f3ALWXu8SRwJW4/dAhYw2x9dXWl38I7LltPtONLu9TVzy8C/6GUSgKIyJ1e+hUi8le4g68u4F4v/YvAR4DvAP8V+D0vfQ/wbyLyHe8zcDuYquR+pWlfBVBKPSiuJbEP+BXgjTIbexjBFRrALqVUzMvrfmAzrmjL0Qvc7s2OKCDope8GPiYiF+J2Tg+Xm6BUSp0VkR/idpDBHdhdVnRuj4h0V7kPwH1KqYkK+dNomoZS6riIjIvIVbgNzZPAS3D19aR3Whduo/Mg8H4R+XUvfaOXPg7YwLe89DiQBr4oIncxq41ylNW69/8t3nElTQHcpZTKABkRGfGe4XSNj6/RNJNSrWwFjorILwCHcT1ofoZr+X4x8HOvjEeBEe97xboC+GUR+Qhuh3A1sE9EfgJ0K6Ue8s75Cu5ADFwdXyleLB1uO3SJUuoH4nqfvMp77RKRtyqldgFZZjX7OK4bGsBO4De84y/jdvgAfoI7MbsV12vn94Af4w4Ey3HeM+B2MDWaxXJKKfUz7/gO3EEPQN7d+CXAA0qpUXCtZbhl9ztF13g15fX4C8CDatZLrVKfrVJ7dQ2efpRSd4nI5DzPkr9AEPhHEXkhbn2w3bvGj0Xk/4jIOu+631JKWSJSru9arp+dv0c+/T6l1Lj3u3wbd2LKqvBbQOV6ou3Qg7/FUa7g3IY7a/K0iLwbd4YPpdTPPFP1LwGmUmqvd/71uAJ4I/BxEbkct+K/GndgmOdFwP4q91a4hfa/KKUOFn8gIi8DMkVJNtX/9n+Ja7X7dc+E/4D3DF8R19XmeuBeEfldXItiORzvBa6lZKdSKlWSr8+Vu4/HTJX8aTTN5ou4M3/rcWdLXw38L6XUPxefJCLX4jZsO5VSSRF5AHfSBVyXEhvAa4Be6l3n7cAf4XYw9+M2JD8sumw1reePK2kKFqZ1jWZJqKKVrwO/CTyLO6GqvI7Z7UqpcvHiBV2JSAR35v1qpdQpEfmkd81qbpOC65Fzb+kH3qTJ3cDdIjIMvBnYBeSUN51PdU3lz/kJruvbBcCf4YZsXIs7WTQ3M5WfQaNpBOX6ijDbx6rFxbisHkXkjWWuX45q7VUt30dEtuFqbwQ39m8Y1yPOwJ1YzfNl4Ldw29n3QMW+6z7gv5Tcowd3Uuo53Ha5Uj+7Ut1Uaz3RcnTMX/08CPy6iES9GYxf89K7gSFx4/t+q+Q7/w939v5fwV1dDNf98ke4VsG8tfCzwEe9ARHe//8D1xUlz9u8z14JxDyr3r3A+7yGE89yUQ+9wBnv+N35RE98R5VS/wDciWsan/aeuRo/wO3s5q/zwmr30WjagP8ArsOdFb3Xe71HRLoARGSDN7vYC0x6ndnn4c6Enof3vV6l1H/iLoqU18BngL8WkTXeeS/E1cLni77+tqL/d3vHlTSl0bQrlbTybdxB1juYtUbsAt7iaQwRWS0im8tcMz9IGvM09hYA5cbqTXsWRXA7gnnuBf6bzMbgbxc3Xv5FInKBl2bgtm8n5nmmh4qu/VvAT73jR3AXvHCUuxDaU7gLO/2k1mfQaBrEJhHZ6R2/g9kymucR4JdEZK0Xu/YOXCt1MZX0uNv77tZ8und+ab+wUnv1IF4/WUReD6wq9wAi0g/8E/CP3uCql9n43HcBxYvW3IbbxqKU2ud9v1zfdRfQISK/7Z1j4vaxb8t79AGv9Z41iltH/azKb+Er2nZU2u4opZ4Qka/jVuonmK3UP44rphO4MYHFAvg33DjAvBuXCdwhIr24swm3KHdlpadE5E+B73kNVA7XP/upomtNishDuHFz7/HS/hL4e2CPNwA8zqyrSzX2iEjeSvcN3A7p7SLyQeZaJN4GvFNEcsA54C+UUhMi8jNxg+nvVkp9uMz13w/8HxHZg1vmHsSdFa10H42mpSilsiLyI2DKszL8QER2ALu9uZUE8E7c2J4/8Mr2QeDhCpfsBr7rzfILbmA5Sqk7xV0V9yERUbiN5juVUkNF3w17s5YGbsMMlTWl0bQrZbWilJoUNxThMqXUo17afhH5n7i6M3DbwPdSMhhTSk2JyL/gtrXHmetW+TvAv4jIDK5XScxL/yJeXK/XTo7iduzWeeeHvfMeBf5xnmd6P/AlEfmwd53/6uUrIyKnmK0PfoKr3WdKLzDPM2g0i+UAcIO4C6ocBr4AvC//oVJqSEQ+CvwIt236T6XUd4u+ryrpUSn1sLiLnH3bSx/BdXX8HvDv4i6+8j4qt1d/DnxVRJ7AHXCeLLpvVESewnXxtHAten/nffZ54Fsi8lYv3wVPMaXUsIgcYK7barm+qxLXBf3zIvJx3Pb1P3ENLXl+6t33YuArSqnHAGqpm9qd/OIDmiVA3BiDNyml3rXI6zyAG0z7WEMyptFo5uBV6k8Ab1VKHW5hPo7juoONtSoPGo0fEZEupVTCO74JGFRK/fE8X9Nolg2e19j3lVJX1PFdE3cwt14plWtw1pqGiHTgTqS8KL/ORZ3XeTdu2/tH853rR7Tlb4kQN77t9bh7lWg0mjZFRC7DDdr+j1YO/DQazaK43rNoBHBn5d/d2uxoNL5iH/BFnw38XoMbo/93ixn4rQS05U+j0Wg0Go1Go9FoVgB6wReNRqPRaDQajUajWQHowZ9Go9FoNBqNRqPRrAD04E+j0Wg0Go1Go9FoVgB68KfRaDQajUaj0Wg0KwA9+NNoNBqNRqPRaDSaFYAe/Gk0Go1Go9FoNBrNCkAP/jQajUaj0Wg0Go1mBaAHfxqNRqPRaDQajUazAtCDP41Go9FoNBqNRqNZAejBn0aj0Wg0Go1Go9GsAPTgT6PRaDQajUaj0WhWAHrwp9FoNBqNRqPRaDQrAD3402g0Go1Go9FoNJoVgB78aTQajUaj0Wg0Gs0KINDqDCyGtWvXqi1btsxJS+dsYqkcOVsRNIXeaJBI0GxNBjW+5/HHHx9TSvW3Oh9+oZwmNUvDSqj7tB4XxlLpcSWUPc35aD0ujGbpUetPAwvTo68Hf1u2bOGxxx4rvD8wFOPWB4/RGw3SHQkwnbaIpXLceM1Wdgz2tjCnGr8iIidanQc/UapJzdKwUuo+rceFsRR6XCllT3M+Wo8Loxl61PrT5FmIHpeV2+c9e4fpjQbpjQYxRArH9+wdbnXWNBqNpmnouk/TKnTZ02hah9afph6W1eDvzFSK7shcY2Z3JMCZqVSLcqTRaDTNR9d9mlahy55G0zq0/jT1sKwGfxv6okynrTlp02mLDX3RFuVIo9Fomo+u+zStQpc9jaZ1aP1p6sHXMX+lXHfFALc+eAxgju/z215yYYtzptFolgMHhmLcs3eYM1MpNvRFue6KgbaIq9B1n6ZV5MveRCLDuXiaiZkcAUN436svanXWNJplR2kbtH2gk/sPjAK67tfUzrKy/O0Y7OXGa7bSGw0yFEvTGw3qoFeNRtMQ8oH1sVSOwd4IsVSOWx88xoGhWKuzpus+TcvYMdjLa3b0c2gkwfhMltWdQS5d38X9B0bbQhsazXKhXBt0/4FRXrOjX9f9mgWxrCx/4DZEutBrNJpGUxxYDxT+v2fvcFvUObru07SKQ8Mz/MK2NQVNAMRSubbRhkazHKjUBh0anuEDr93eyqxpfMaysvxpNBpNs9CB9RpNebQ2NJrmo3WmaRTLzvKn0Wg0zWBDX5RYKjfHutHKwPpysR+HhmfaLh5R0540Mn41bAoPHholazv0RIJcvK6ToGnqRSc0mgZxYCjGyYkkT56cZG1XmIvXdbK2K8J02iJsCrfcd0jX/Zqa0ZY/jUajqYHrrhgglsoRS+VwlCocX3fFwJLnpTT249hogpvvPsjxsUTbxSNq2o9Gxq8eGIpxNpYmkbYIGUIqa7H7uQlOTSRbog2NZrmR1+v67jBBwyCWyvHY8UmOjyU4NZHkbCzdlrHomvZFD/40Go2mBtppUZXSjX3PTWfoDAc4F8/ojX4189LIjaHv2TvM5jWdvGzbasKhAJbjuqIN9IS19UGjaQB5vW7t7+JFm/voiQaxHRiKZxjoCbN5Tafe5F2zIOZ1+xSR7cAXgAGl1BUiciXwRqXUXzU9dxqNZg5aj62lXRZVOTOVYrA3UnifSFt0h03i6VwhTceCLA1+1GRp+YH6y0v+WoYE6e92r+koxVAs3ZC8ajQLwY96nI9ivfZ3R+jvjhQ0lrUVa7p0HKBmYdRi+fsX4KNADkAptQd4ezMz5UcODMW45b5DfOibT3PLfYe0yV3TLOrWo4h8SURGRGRvUdonReSMiDzlvd5Q9NlHReSIiBwUkdc1+Dk0i6B0Y9+uSIDpjE1PpD3iEVcYdWmylXps5MbQepNpTZvhOz3ORzWNaf1p6qGWwV+HUurRkjSr7JkrlHbe/0uz7FiMHm8DriuTfotS6oXe6z8BROQy3Abzcu87nxcRs848axpMafzh+u4wMxmL9T3hlscjrkDq1eRttEiPjYxfbadYWI0GH+pxPqppTOtPUw+1DP7GROQiQAGIyFuAoabmymc0Mn5Co5mHuvWolHoQmKjxPm8CvqaUyiiljgFHgJfWkV9NEyiNP9za38VNr7+ULWu7Wh6PuAKpS5Ot1GMj41fbKRZWo8GHepyPahrT+tPUQy1bPbwXuBV4noicAY4B75zvSyLyJeBXgRGl1BVe2mrg68AW4Djwm0qpSe+zjwK/A9jA+5VS9y70YVpFI+MnNJp5qEuP8/BHIvLbwGPAf/c0uQF4uOic017aeYjIjcCNAJs2bVpkVjS1Ui7+8PoW5WWF02hNLokeGxm/2i6xsBoNPtXjfFTTmNafZqHMa/lTSh1VSr0G6Aeep5R6pVLqeA3Xvo3zTeg3AbuUUpcAu7z3S25Cb3R8nva51iwVi9BjJb4AXAS8EHd29G+9dCl3+wp5ulUpdbVS6ur+/v5FZEWj8R8N1qTWo0azCLQeNZr5mXfwJyKfFpE+pdSMUmpaRFaJyLyrJlUwob8JuN07vh14c1H6kpjQmxGfV+xzPRxP8cDBEX747Ahj02kd96dpKPXqsRJKqWGllK2UcnAD5fO6Ow1sLDr1QuBs/TnXNBu96FRraKQm/apHXfY07cJK1KPWn2ah1BLz93ql1FT+jWfyfkOV86sxoJQa8q4zBKzz0jcAp4rOq2hCXyzNiM/L+1xnLZuHnnPHu6+4eDXBgKkXftE0mkbqEREZLHr760B+pbM7gbeLSFhEtgKXAKVB9E1BN2QLRy861VIapslW6rFe3emyp2kzfKvHejSo9aeph1pi/kwRCSulMgAiEgXCDc5HzSb0xfpPl8bnjU6nOTKSYHg6A7hWvHqD3vu7I7zqeevojQbnfHbP3mHtj10HB4Zi3LN3mDNTKTb0Rev+2ywz6tajiHwVuBZYKyKngU8A14rIC3H1dhz4fQCl1D4R+QawH3eltPcqpewGP8t55Buy3mhwTkOmA9irUzypBRT+13XPklCXJttJj4vRnS57mjbDl3qsV4Naf5p6qGXwdwewS0T+FVcA72HWdXOhDIvIoFJqyJtRGfHSazahK6VuxQ3m5eqrry47QKzGhr4osVSO3miQ0ek0T5x0J4gGusOL7mjqhV8ahx4EVKRuPSql3lEm+f9WOf9TwKfqyWS96IasPnTd01Lq0mQ76XExutNlT9Nm+FKP9WpQ609TD/MO/pRSnxGRZ4BX41ro/nIRK3HeCdwA3Oz9/92i9K+IyN8BF9Akl5Z79g6zfyjGqfEU2we6OBdPA5DO2QQN4ZFj44RMgzt2n+BTv3Hlgu9RPLDMU23hF23ZqoweBJSnwXpsO3RDVh8LrXs0jWM5aHIxutNlT9NO+FWP9WpQ609TD7XE/KGUulsp9SGl1H+vVUSeCX03cKmInBaR38Ed9L1WRA4Dr/Xeo5TaB+RN6PfQJJeWWCrH89b3cOn6Lg6NJDg5kcQUt3YwDKE7HEApxU+OjNflL72QzTa1n3Z1g0nCQgAAIABJREFUzkyl6I7MnZvQgwCXevToF/TKufWhN/ptLX7X5GJ0p8uept3wox7r1aDWn6YeKlr+ROSnSqlXisg0c+PvBFBKqZ5qF65gQgd3Nqbc+Q13aclb1n6w/xwh0+CKDT0YEmTL2i5WdYbZPxQnk7PpiRpEgu7OEiLCqo5gXRam/MIvxda8t73kwrLXaZZla7lYE/Vs1lwWq0e/cN0VA9z64DHAHexPpy1iqRxve8mFLc6ZSzvpqzQvr9nRz6HhmXnrHk1j8Lsmi8tPyBSG4xlY3bFg3eXbvS/vPsH9B8YRhKs26nKnWVr8rsf52r68XvedjRFPW/RGA1w22Mt1VwzU3O/UaPJUHPwppV7p/d+9dNlpHMUxYyhQSvH4iSlevLmPtV0RuiMBeqMBDsbSrIq6Fr+M5ZCxHF64sZd9Z91Vlxbayat1s80zUymCJjx8NE48naMnEmRbfwdnpqx5v1vLM/s9Tq7dBwFLjd/1WCsLmUBZatpJX+Xycv+BUV9q3a/4WZOl5Wc6beEoRc6yGYpZdekulXN42dY1hfrar22Pxp/4WY9Qve3L69W2HU5PpEAglszSETS59cEkN16zlQ+8dnurH0HjI6rG/ImIAexRSl2xRPlpGMWWte5okEzOJhwQjozMsLbLbewuG+ylvyvMvrNxEhmbrkiAyy/oIZG2OD2Z4sJVHXV38uazEIRN4YFDo1i2wnYUE4kspyeTXLu9/k1Al1OcXHFFuH8oRixl0RMJFLbk8NvzNAI/63Eh1DqBstTcs3cY23bYPxQnkbboigRY3x0+T1937TnD7btPMhxPM9AT4Yadm7j+ysbuXLOctO5n/KrJcuVn85pOeqPBujqRtWpD4x+Woh5rNH7VY55KbV9er/uH4tjKIZmxSWZtEhmLF29apXXmQ1qtr6oxf97Glk+LyML3VGgxxTFjF/d3krEcUIpYKjvHJ/pdOzezrb+Ll25dzUX9Hew7G+eBQ6M4jiJn2xgi5Gybo6MJPviN2vZeqSWeb2LGzYftKIKmYDuur/bETLYhz5zHz3FyOzyXhq5wkMsGe9gx2LOiYyP9rMflwL6zMQ4NJ8jkbLrCJpmczaHhBPvOzpbFu/ac4ea7DxJP5VjXFSKeynHz3Qe5a8+ZhuZluWndr/hVk40uP7VoQ+MflqoeazR+1eN85PU6Gk8zMZPDsh0iAYNkVuvMj7SDvmrZ6mEQ2CcijwIz+USl1BublqsGUBwz1t8d4UWb+th3No4hBr3R4ByXlhuv2codu0/wsyMTrOoIsqYrRCRo8PiJKbat7eDoWJKQKaCoyQpYy6z88Ykkgz1hkjnX1TQcNFjVEeD4RLIhz5zH73Fy2sJxHr7U43IgnraIp7PEpyxytkPQNOiJBIinZ/V2++6TdIYDReXVKKQ3clZvOWrdx/hOk40uP7VoQ+MflqoeaxK+0+N85PWasR2yOZu47WA7CtMQosGs1pnPaAd91TL4+/Om56IJlMaMhQIm2/q7yg7adgz2srZog/bdR8cLbqJPnY7RFQpwOp4mlbMZTWRY3RHiy7tP8OkK20HUsmSvIERDAVZ3zf4JUlkLy2ncMy+HOLmFLn/cTgtyNAlf6nE5kMpaDMczBEyDoCHkbMVwPMOartn9g4fjadZ1heZ8rztsMuxtK9MolqPWfYzvNNno8lOLNjT+YanqsSbhOz3OR16vmaxNImsj3ir1AlpnPqQd9FXLPn8/FpH1wEtxV1D6uVLqXNNztkjmWziidJCw72yMHYPuYlAX93fyxMkpwqYwNZNlOpkjbTt0hUwMYGgqxXefTjEyneHyC3rPG2DkZ2lG4imePh0jkbGIBExevKmvcM5VG3vZfXQCESEcMMhYDomMzc5tq5v2zH5kITPU7bQgR7Pwqx7bgcVODIzPuAH2CFiOImQKIcNkvMhVe6AnQjyVK8zkAUxnbAZ6IuUuWTfLUet+xY+abHT5KdZGzlYo5S62eGxshgNDMV0ufcZS1WPNwI96LEe51Zzv238OQ8A0BEOEoOeRNr6IcCHN0tMO+pp38Ccivwv8GfBD3ImGz4nIXyilvtTszC2WSsGzB4ZifPbeQ4wlMmQsm8PD08RSOXKWTcpSjE2nmU7nSOccsrZCcDANyNiKtGWRsxwCASHuxQ6WDjCuu2KAT3x3H/uH4oQDBmFTSGVtHj81xT//+DDJrGJ4OoOjFOmsTcayCQdMtq7t5J07Nzflmf3KQmaoV4KLqJ/12EoaMTHgOIpQ0CBgCKbhxulajsJxZlcVv2HnJm6++yDgzuRNZ2xmMhbve9VFDX+m5aZ1v+JXTTay/OS1AZCzLUxDMA2wbbXsJuBWAktZjzUav+qxmEqrOUcCBuFA9TZI0/60g75qcfv8MHCVUmocQETWAA8BvhFSKXfsPsGxsRm6IwF6IkEylkMya/HYiUnW9USIJbM4ShCEjqAwnVGIgIkiazk4gAkkMnbFAcaxsRlytsJ2bDrDJpvWdJBI57j1weP82gsuYMdgDx1Bk0PDCTaujhb2a9EN5FwWMkO9UBdRn7Ls9LgU3LN3GMdxODA0u7XK+p6FrUa4aU0nI7EUOcfdFiYcMIgGhXW9s1bovL9+8Spe73vVRX6Ik9HUz4rXZF4brgVCCBiCIQadETeupRadrQCXfd/g83rM93qsNJEdCpqEDKnaBmkdtT/toK9aBn+ngemi99PAqeZkZ2l48lSMrrBZ2Ng9EjRBgWm47pcKoSNs0hUKcGoyiQA5G2zHwVbuVFLGVpiexbZ4gJGfsUnnbFZ3BHAUhTi+rO2QtWYHjFv7u1jdFa57ee2VQq0z1CtkEYxlp8elYP9QjJPjSSJBk+5wgHTO5tlz0yRzds3XyM/WdUeCXFA0W3fDzrkLy11/5Qa/dJI0jWHFazKvDRFhVYdJznbbuxds6K1pAm4luOz7DR/XY77XY6WJ7I19Uc7G0hXbIK0j/9BqfVXd6sHjDPCIiHxSRD4BPAwcEZEPisgHm5u95qBQSEla1nYIme5KoJes62Ljqg6Cphu4LriO47bKf99dsGU6lWMskZ4zwMjP2HRHg2RtCJgGAQMmk1lmsu5egsUsQ8tUy7juioHCNh6OUnO29FhG1K1HEfmSiIyIyN6itNUicp+IHPb+X1X02UdF5IiIHBSR1zXtiZaAWMpCRIgEzTn/x1JWzde4/soN3PT6S+mJBhlJZOmJBrnp9Zf6tYOkaRx1aXI56TGvja5IgETGIRQ0eMVFa9i+vqemCbhiS4chUjjO7+uq0SwA3+txQ1+U6fTctmk6bfELF62t2gZpHWlqpRbL33PeK893vf+7G5+dpeGqjX08cnQCihZbQYRVnUFMEU6MJ7GVIpW1UI6i3AKcCkUsbXH//hEuu6CHj1x3KTA7Y/PCC3v56ZFxAEImJDIWSsGlA3N/tmVomWoZK2QRjMXo8TbgH4H/V5R2E7BLKXWziNzkvf9TEbkMeDtwOXABcL+IbFdK1W4qq5NmuK30RAKMxNNMzmSwHEXAECzb4VwsxS/9zY9q3mS1ntm65eaGs9yepwHUq8nbaCM9HhiK8eXdJ3jy1BSCcNXGXt65czM7BnsLf/P9QzFiKYueSOC8xc6uv3ID2/q7CpaH7kigMAE33yqiZ6ZSBE14+OisW/a2/g7OTNU+OVPvM+uyvOzwrR7z5XHf2RinJ1NcOtBFNGRyYGiayWSOKwa7GZtOs2l1Bzu3rTmvvJbqyBTXdDGdcbOly7d/aXRdVctqn8tu2dx37dzMoeFpTk2kSFs2kYDJht4I0ZDJuZi7CIwhQibnxvflQ2ml6Nh2wLYdsoAhs3bEvOthX0eIdd1hzsTSTKccejoC/N4vbuXZczPEUrklWZ59JTZsy30RjMXoUSn1oIhsKUl+E3Ctd3w78ADwp17615RSGeCYiBzBXT1td733r4Vmua0MdIc5cDYOCCKQylgkcg494cCcTVaBhlrylpsbTjOfx6/1Vb2abCc9HhiK8Zl7DnJyPElX2CSZtbnrmXPsOjjCVRf2kbUVXWGTk+NJRIR4MkdH0OTWB5Nz/vb1TsCFTWH30Qm6I4GCW/YjRycXtfp1Lc+8nLSpcfGrHovLY35NiKdPTZG2HQa6I1w22MXB4QQKeNm2VWXLa7GODOD0VArbVmxeHW1q+fZr3e0XmlFX1WL58zXlCuXR0QTjiSxZ27XpZS2b8WSWLitAR8h0rXqpHFbJAkrFb8MBg2gowJa1nWxc3VEIaL/uioE5jegl/Z0kMjZb13ZyzfZ1XLOdJbFM6YZNUyMDSqkhAKXUkIis89I34LrL5DntpZ2HiNwI3AiwadOmcqfUTLNWbFW4sb1dkQDhgMG+szFEQcZ2ODaeJBxw9ydr9Cary20F2mY9T37wMTGTJWs5HB6eZs/pKT5y3aW+/J0WQUv0eM/eYSZmshgGnI2lmUrlUEqRyMCDh0fp6wixqiNEJOjGyqdzNuemM1w22HPe376eCTg3lKLkOZjb5jaa5aZNTVNYMj2Wlset/V2cmEjSC1x76Tp2Hx3HMCCesrhv/wjb+rtY3z130bJiHU0mcwREEAPwXEDz92lk+dZ1d/NpRl21rAd/5QZAn733EM+NTBMJBdgQNjk9mUYJdIdMxmay9EYCBE2DNZ0hEplqsXiKVM7m4nWdc+L2dgz2ckFvxBWC7dATCfL8C3sJmib37B3mA6/dviSC0A2bZpGU9sWgQl9MKXUrcCvA1Vdfvaj+2pmpFAED9g/FSaQtuiIBtq3tIJFZnPtX1la8ZOsqjo4lSaQtMpaDaQqOcvfrs2yHdE6RHp9Z1H0A7tpzprCK10zGYlXEZGg6W1id7fkX9LBhdeei79MKmrWi7pd3n3AnzCIBuiMBMpbDyfEkX959gk//xpWLuvYyoal6PDOVIpbMegtI5LBtd4VrBaSyDpad4VwsTTRkEjAMOkIm4YBB99bVDYlZL9VnVyTAjsFusnbzhn9nplKcmZjhmbPxZaHNRqOtOVVpuB7L1a1Zy0F5lx2Np4mnLUzDNVicGJvh4FCcZ87GCusaPHlqCgfFaCJDLJWjJxpgoDOM7e272Yw1JnTdXR8L0Vcz6qpa9vl7hVLqZ/OltSPlBkBPJjJMpSy290Q4M5XCEEhkchxJ5lBALOm6ZObFUomcrYgE4cjIDNFAkqSl+NA3n2ZDX5Th6QzXbO9nYibDkZEZnjg5RXc4QG9HcM41mlm5rpBtD1YcTdDjsIgMerOag8CIl34a2Fh03oXA2TrvMYdq5T5kCo8cnaArEqArbJLJ2fz82CQvq8P9q/g+JyeSrO8Os3PbGgBOTsyQtdxFnkSEgCnufpvBcm167dy15wx/8f0D2N5G17FUjrHE7OeWbfPwsUleLou7T6V7Fy8dXUsM40Jp1oq6T56awjTw9l51G7fOkMmTp6YWm+Wm02BNLokeSzUYNoVUzkEAy/EGfopCvLttK2wgZztYtoNSioxlcGJshq39XYsue/lyldcncF45azRDk0kePjYJuL32WrS5UgZEfrbm+FWPJyeSPHlykrVdYS5e14lSFIwIu4+OM53JIQiW5ZCzFdGgwjSEmYzFh77xNKen0qSyOUxDWNcdcT1dwgEChlFY2b4Za0z4ue5uFQvVVz111XzUstrn52pMazvOTKXo9lbXHEukefjoOMfGEmQsm1gqRyJjEU/nyNqzUzYOEEtbzGSqx+0KsKEvwnAsxaMnJukIGgXr4unJFM+cmuShI+McH5vh7FSKPWemeOi5Mf7Ht/dwYChWsErGUrk5bpkHhmINefZKq0XpxWV8T6P1eCdwg3d8A7PB8XcCbxeRsIhsBS4BHl3EfQDmLfcCpC2bc7E0R0dnOBdLk7bsstOsC7nPYE+YJ09NcWw0gaMUneEAtuM2nkop0jkH23HYtLpj3uvect8hPvTNp7nlvkPn6fULDxwllbExDSEcNOe4jufd2BSw53R1nc93n1Lu2nOGm+8+SDyVmxPDeNeeM1W/t1CataJuJmdzdirFVDLHTMZiKpnj7FSKzAK24mghjdRk0/VYToNnY2lspbBsx41nLxr4AeRbEttROA6eV0uAQ8MJOkLCzXcfdPfAtGwOnovz0W/v5Z9/fLjmPLVipeY9p2MFPdaizWa32e1E3poDFPpQeWuOD/ClHtd3hwkaBrFUjp8eHuPBQ2METKE3EiCeypHKOaSzFomMje04jCWyTKVyxFMWB4enSecseiJBbAfOTqUJGTA6nWU6bbGtv6Oqphba3hTj87q7JSxUXwutq2qhouVPRHYCLwf6S5bH7cHd47zt2dAX5fhYgn1n45ycSHoLsygCpjAUS5PJ2YU9+GBujMF8ziahgEEq55B1FAPdEVI5p7C07qUDXfz40Ci2AwED0jkbpSAg8PiJSVI5h46gUbNbZj2zjdddMcCtDx4DWJLFZTTNpRF6FJGv4gavrxWR08AngJuBb4jI7wAngbcCKKX2icg3gP24fb/3NmJlwXLW+MmZDJ+4cz+bVnfwxIkJHMdVn/KquqAhjCQyi7rPlrVdAAzFM4SCJpvXdLJxVYSzsQwzGYvOcIDnb+jhBRtXVbzmgaEYn733kDfDaXN4eJq9Z2L8xosu4NDwDGemUhweSdARNAiY5w9XixeOmqnSMNYar1tcLzz03BjZnMVUMkvWdl1ZuyOBhscw7hjs5TU7+s+z8izWGmCIkLYcgqaBKYKtFDnbmbOYVruxWE22So95bWQtm0eOue7VQVPoiwbJ2Q5T6cou1rYDFgrDUaQtm4HeCLueHSOVzTGRtHCKGs6/+8FhLlzVUVP5a8VKzTM5e05HCqprcyWFUjx5aqrMXsiqra05ftXjHbtPcHQ0QdZ2CJjugmTDKYtgQHjtZe5A7cjIDGcm3f2ls87c3mna68RajsKycwggBkymcqzpCtMZMnnouYmKdfVi14fwY93dahaqr4XWVbVQze0zBHR55xQvkRsH3lL3HZeQ7QOdfO3nJ5mcyWIIgCLnxRCs7jTPs4zVGl3QGRQuXN2BeIV7TWeIeDpX+HzTmk4sZ4SOkLsJZ8AQOkImgjA+k6U3GuTRYxO8ese6Odct55ZZqcP5oddVjx1cIdseLAqfufAsWo9KqXdU+OjVFc7/FPCpBeRxXkrdkccSaZ49N43twMu2rmYmY5PM2mxZ20FHyK2e3BnLhcX8lXN73rSmk2DA5LNvfUGhwbtiw6o5kyPVLA137D7BsbEZuiMBeiJBMpbDwXNx/ubeaa69dIDB3ohbIWcsggGDoDnXsSL/zqF8wEieWjqZpW4jw7E0toJwQNxtLBzFWML9rJEcGIpx/4FRLhvs4WVbVzOdtrj/wCjb+rsWpR3bUUSDJo5SWI6DaQjRoInt1Fort4RFabJVeszH1T783DipnIOtFKa4Lp290RBBg8KkaOmvbxrgKDAEIgGTqZkcQ7Ek8bR93rkZW/E39x6suWy0YqVmxVz3p2raXEmhFIKc9/fM72/cxvhOjweGYvzkyDh9UXeV24zlkLEc+jqDhAMGa7tmy9uJ8QQz2eqdfcOL07UdEFF0h4O8eMvqQhtXrq5e7KSGT+vullKPvhZSV9VCxcGfUurHwI9F5Dal1AkR6VRKLX41hCXk0PAMPZEAsWTOjesxoCPoLu4w6cX41UPKUozEM6ztDpFIW8RTFgjsOjCMAMmcje0oeqNBHAUh0yBnOySyFraj2H82RipncXJ8hnPxTGFfo/U94YKFIk+5DuexsRnu2H2CT80TTLvctz1YDH5bDXU56BFca/yx0QTnpjMk0haxVJagIazrjWKIO0mSsRxG4mk2r+l09+BU7j59C71PaczQyfEZhuKZQmzua3b0Fyx2+ckRgFvuO1RI6wgJu54dYzieZmQ6Q0/YIGPZhdiGZMaas5Lahr4Ix8eTTCSy51n/iuubzlDliehaOpmlQfb5EGXbUYRMA0Pc43SDB3/Nsn5EQibre8Ikc07ht+0IGgQC7etk4ldNhkzhnr3nSGRci180aGArAwch621zZIiiXN9NKbfDIUA8bfGKi3p5bjRRsS09F8vUvPDDUk3G5e9j4HagSjtRlbTZrHjXduSqjb08cHAUy8l4kwPupNK1l/a3OmsV8aMe79k7zCpvLQgRKViCJmeyOI7im4+fYiZjkbMcHKWYZykKvOYSgKyC7QNd89bVi53UaLe62w+T+gvVV6dnSCr981frR8xHLT2qC0TkbtwZlU0i8gLg95VSf1j3XZcId4bTcPct8lw8LdvxAtqlMMNZTk8GbnrQFGxHkV90THAbwKlUjkQmR85xz1nTEeT0RBJbwZquEGu7QgzF0oRMg5Rtkcy5gYXdEZN42iKdtXjk2AR9HSG6w6YbdzGV4lcun2t5ePJU7DzzsFKKJ08tXZyBH8S0UHzswuM7PRaXn2Q6x8PHJzBwY+2mvQ7ojsEeAPp7IgQMmEy5sQ1dkQCbV3ewtb9rnrvMpdTt+eT4DD89Mo7jODw7FCMSNNmyppM/f9Plc6xpxRMCT5+c4NETkwx0R1jXFeLMZJKRrE13xN3zzLIdEhmbjqIKePtANyfGk1gKrJK9YvLvggZcfkFPxbzn3dWrTQw9eWqKnG1zdDRN1laF+CzLgYQXryxAT7SxDXCzVmO9amMfDx4aI+ctJpKzHVII12zta1DOm4pvNHlgKMaRkURh8jNrK2aybulZ3xMkkbUxDajkTSTiWv4UYDkOHWETw/ASy5C2HO7dN8y7dsaq1qtLNRlXfJ91PWGGYpk5rlTVtLmSQilefvEavrdniJmsheOAYUBnKMDLL14z/5dbj2/0eGYqxY7Bbh5+bpxzRVb46VSWsQQsdLHb86zvls3uo+NV6+pa2ptqtFPd7ZdJ/YXq6/ILenj8xCS5ornc+foR81HLgi9/D7wOGAdQSj0NXFP3HZeQDX1RbEeRyTmeGdxt7CwHHKUIB8rH5pgCkaBBwHDPLxZgwPvFFJDzYvrW94SJpS0coCPkrrB0zfZ+eiPugCKZc+cWw0GDNZ4Zvycacq150SAzWYeeaJCrNvZxaHjuRJVCVdj/aGlM6ss1yL14MaA8PnHh8ZUeS8vPc2MzpLI2jmdCcPUnnJp0f/eL+ztxlLChL8qrd6zjssEeTNM4zx1zvgD1vNtzbzTIUCzNvrNxptNZ0pZD1nKYTls8cybG53bNLkpRPCFgiHB4dIaQaZKxHQxj1o0zmbXI2z9EwDRmFXpoeBrbs46YMmtREFyXzM6QwaqOIBdVGcxuH+jkiZNTxFI5ukLuxNATJ6fYPjC7rHM8meXMVJpU1say51r3imuGvgavlhgyhZ8fmySTs+esxhoqU48uhFdcvIZ4KsPETJbJZI6JmSzxVIZX+KOz6RtN3rH7BGenUmVbj3PxHKmMVVjspfScrpCBIULQNOgOB4gETPdvb1T/28dT2Tk6K8c9e4exbYf9Q3F2HRhh/1Ac23a4Z+/wgp5vPoo1vrozTCTgegSZwrzaLK1TeqPBtutUNoq7nh4inbMQXFdCAdI5i7ueHmp11mrBN3rc0BclmbFBBIW7QrTtQNqi0I4spmZ94NAYsWS2al1dS3tTjXaqu0vb8Pxxo+uRxbJQfV3U38WqjiCdIaPmfsR81ORLpZQ6JXODN32xjM91Vwzw3SdPI4bQGTBI5+zCBKXluIOyoCmETSFTNMKzlftZOdHlR975z7rCAfo6QoxOZ8laNl3hAMmsxdquCNdcupanT8WZTGYB1y+6ryPExes6eeLEFCLMWdraUeq8wcdVG/t45OgEiBAOGGQs19pQz9L39eBjC1lV/OzC4yc9lpaf8Zks0aBJJGSycVUHyazFyfEkZ6ZS7p57AZNNazq4oDfCUCxdNla11tm9Yrfnq/78B9g2KOWgEAQHx4Hdz00Uzi91f0lkLDqCRiFuLhwwC6shZi03tmFNZ8jdIiblbhFzciJZ6DSXztq+4MI+V79pq+rUzaHhGbat7eDw6AxDsTSdYZNL+js5NDzD9d45yayDrdzJJwOZszVNZ8jAUe52NPP6CS2Qchtvl9uge6Hc9fSQ50VhoJTrmZFz3PRGb1fRDPyiySdPxarGgeYcCFYonemcW+YjAQPDMOiJBrAdQKqXsVDA4NHjk1XP2Xc2xumJFOGgUeioHhpOuB4zDaRY4woIhwJ0e949F67qmFebKyWU4mdHx7GdWSuvKFDipvsBv+jxuisG+MDXzhEJmqzrDhdi/sZmsoBbr9bquJ8fSBR7qTmOYjieIWgKpmGUratraW+q0U51t1/icheqLwV0R0IM9gVmxwHz1FXzUcvg75SIvBxQIhIC3g8cWMQ9l4wdg71csr6bs5MphqczhAOmZ5r2BOV1kPIzf6WdtWo/rAChgGAawtmpdEF0BfEm0oQDgcJqTaUDjVDgfKNrucHHu3ZuZiiWZmLGXbI3FDDYtKaDd+3cXN+PskD8IqaF4mMXHl/psVz5CZhS6IB2hAIM9ISZSOYKg71f2LaqEGd3sifC9oHO8wLUHcfhwFB8jptKtQmJRGa2osyHWtu4uszHAIZM4cTYTCEe0XEUE8ksSglPnZpEee4Z4aBJf0+4cN+ucIDeaJAzU6nCQhn5Gdt8w62Ag8MJOsMmz7+gp+rm1fvOxjg0nCCeznkruNkcGlYEi2Ioco5D0KtCnJIB3kzWwQDWdAbINdhBIGMrXrZtFUdHk4Xf/rILuudMntXDoycmCZmGt2gABAzBEOHRE9UHDW2CbzSpUGTtyt1JBWQrfGwpt5OStWw6QgarO8Ns6+/gzqfTRINCqkxhCxjuKoSpbHW34HjaIp7OMj1lkbXd/Te7IwHi6cZarosn/ZSC1dEAw9MZLAdGE5l5tblSmMnYBctTPgTGVsy7BVab4Bs97hjsZeOaKLFkjumMhSlCsMgyt5CSmP8bgas724G+DtcCdi6e4aL+rrJ1dS3tTTXaqe4uXVOgKxJgfXd4wWEjzWagsDxWAAAgAElEQVSh+sraiovXdfLM2TgzGbumfsR81DL4+wPgfwMbcDe2/AHQdr7TlbhssJcNfR30RoM8fHScA2emSOQcHOUO+JTyVjbzZtEDhrgxNFV+07w013SGmM7YrvUwYJDMOdiOor8rxN4zcbb1dxUGE6UDjdWdIQyRgsWg0uBjx2AvH7nu0pbF3PnZQlYNH6+G6is9lpaf9T0RTk4kiQQNb6No15L2K5cN8OnfuJK79pzh49/dRyrr7mU0Ek/z8e9OAxRmEfcPxTh0btrbm08xkchyLpaqaiUQUXOmPB2vg+sA+87EODw8jWU7DMVSGGLgKIesZZOxwUQRCQoZpbAs2NYf5TU7BgqafefOzYVy8x9PnC5U6qUEDDfmeN/Zaa7ZvrZiXo+PJhiezqC8WcEsilQuQ+fo7G7xkaCJbbv5KzXu5S1/UymbngbLdENflKdPTXJqMslMxiIWzhENGlW3yKiFdM4mk511f7Jst3IOq/Zd8KUI32jyqo19DMXSi7iCImPDSDxLzpkmGjQIGsJ0RlEu9C/fCY1Gqv8dU1mL4XiGgOleL2u7Fos1XeFF5PV8iif9BOUN/BSRgFGTNlcKyqtUit3WVVF6m+MbPYLbR42lcmQtmydOThEuMgzU+2tbjmsFNA134jNjOZyaTJatq2tpb6rRTnX39oFOvv7zk1i2wlEORtzg5PgMr2vifqH1sFB9hUxh31m3j1JrP2I+ahn8vUQp9VvFCSLyB8A/1XtTETkOTONOvltKqatFZDXwdWALcBz4TaVU3VMHB4Zi3LH7BA89N854Msv67ogX8+M2UkFDyDluLy1iQtYROoIGpiFkrPkXLwiYwos3r2bPmSmSWZt0ThH1puInkzlyjjPHDa10oPGR6y4FqGnw0UpXEx9byObFpy48DddjMyktPxf1dzI6naY3Gipryb7lvsPEUzmCpkHINLGVIp7Kcct9hwuDv6GpNJMzOaIhk1DAwHYUkzM5hqYqd2r7uyMMTaVRAiDk180KGm6+MpbDqYkkOdtxF0lxjMIsqoO7wq8pQm9IiKWsii6p+f0/yxlPXHcNxVQmy1QyWzGvZ2NpnJJZQUe56Xku7I3wVCKLgTuJlV9bxotExLXxKEpcnxZNR0h49PgEIdOkI2iQzNg8enyCnRctzg09YAgJBVJo/Nyo5s554snaBN9o8l07N3NkJDGvG2YlihccmErmePT4BGFTEM97pnQlehGDgKG4eF031RifydIRMr1l6hVBUwiZJuMzlXVSD8X7VD43miBjKTrDJp3hQE3aXCmEAgbpnDNn8CGU91hqQ3yjR5htI4+OJgh7Vr/SUKS6UDCeyCECIUMq1tW1tDfVaKe6+6Ej45iGuBOijtufNw3hoSPjbRU+sFB9TSXdeikcNGvuR8xHLYO/j4tIRin1QwAR+QjwyyxeSL+slBoren8TsEspdbOI3OS9/9N6LpzfG+/Zc3FyloOyFUfHEnM2dLdQsx0nx+0u5RyHdM5dGMbwZkHKdeIMYOOqKFv7uzgyOkPQNOgIua5flu0wHM8wmbT48u4TvMuzClQaaLT74MPHFrLlSrP02BTKbQr+nlduIZlVZS3ZpyZTBAx32WOAgAhKCScnkoUtGE5NJsnaFqkZq7DnWMAQEplcxXxcu72fHxwYJpmxsRzX2mgIrOoIFZbYztgOgrBlrRvo/viJicKMnHj/2EpwHMVn3/qCsvcZ7I1wdCx5XrqB67oRCRqs6QxyfLyy23TGq6iKVyEsTgfXRSQScGOViq0tCnermYAhDHSH3QmuBrLr2TE6ggaxlEU87Q2Ioya7nh3j93/pkrqvW7yQVrn0Nsc3mtwx2MsNL99c9+CvGMuBTsONjx/oDjOacGPbYbYTuaozxPZ1XfNahh1H/X/23jw+rrO+939/z5lVGu2yZVleszjYMVkgCy40pE0IhnCh5UKhr0JDoYXe29KW30250N4WaEtvLgXSlpbStNCkpRu00IYtkISEsLiQhGyOHTuOlzi2LC+yRtus5zy/P86Z0Wg0MxpJM5oZ6ft+vealmUdn5jxn5nye9btgWZB1vKAXxoBte1qrJfuH43zpxydJZbzln6Dl5TecTju0hwPzanO1cMGaGIfPTOZ9nG0LArbFBU1mPleGltEjzIyx/ufnf8x40ktL1hYKkE5Un44sl7akEBewfFPMjGsIOKZkW11Nf1OJ5Wi7q404/9jxOH3tIaKhmalNIp1d1uj41bBQfR09l2B9d4SptJdmqppxxHxUM/l7PfBVEfltYDfwIr+s1rwBuN5/fhfwIIuc/N2zd4Tjo9NMpxxCAYtw0CqZHNPFT1hrDL3tAc5NFfoFld9yd4DT40ne96ptvsPuE9hBL/T1ybEkBhjoCPH0yfGmDDO7UFp0h2ylslx6rAmlkoI/c2pqQZpwjSHjwIMHTpPOukwls2R9s23wzB7TjiFTobN6267NnBpPcXYyRSrrcPTstOf7J/DcmUlCAQvXNbMid+acsSEX2h4yaZegXd68NFgm6mXIJh+ZK5nOkq4wqC234FtYPp7KcuGadsYSnknP2FTaMzcVz7TWcQ0TSYdNfbU1mzt8ZpJ4IkvAtgiLhWMM8USWw1WaCJUjmSn925UrbzJaRpM5PdaKeNL1QtMnHXraQjiuy0TKwXVduqJBbtqxjngiMydabzFrYmGePZ3CcQXXj3jouC6beqqLOFgthXlzLRGMBQYhZFts6GmbV5urhf95/QX8wVf2kXVnxkIByytvAVpGj4WEgzZrgjadkQDPDI8vyOSzXCuZNV6U6aBVvq2upr+pRL3b7v3DcT52zwFGp9Kksy7Pjkzw5AtjvH/3JXPGEMYP51bIckbHr5aF6sv4ASN72mf686W2VfNO/owxZ0Xk9cB9wKPAm8zSDb8N8C0RMcBfG2PuAAaMMcP+OYdFZG2pN4rIu4F3A2zatKnkh58YS3BuKkUoIARsz0yr0m3oAmenZpt6GkoHgckx6XvFFzrsHj47RShgsbYzTDRoM5ly8mFmdfKk1II66bFuLDRa7MbuCEdHE4jM+BBlHK+BHI4ncFxDYfq8aMj2Jn9ZZ47zc/Fq4Rtfsj6f1D3rGA6fmSIxMdtswrYMR85OztlRK1wMGktkeeWfPMBAZ4Rbdm3ihfPT3LXneeKJTFmH7aQDh05PELCEoG0v2a9ooDPCmYkZsxzLAsfJ5SE1Xv0xbOqprdNfMuNgDDiOIeNbTxjjlS+FcvP2GueorwutpMmcHmuNi2EymSHtuGSNd084/gSwGkuRzkggnzopJBZZY8i4XnktKcybGwvbxBNZHNfl7GQakcl5tbkSc96WImciV2ixccuuTU1lOleOVtJjjnv2jnDJQIwDI5Oksm5NLTaMC0nXrVlbXUy92+5/2HOMZ0cmSTsOjr9Ae24yzT/sOcYfv/GyWcfmcg6mx5P5Y0M16G9rzUL1lc+lOJ4k65qajCPKtqwiMsFMFG8DhIALgDeJiDHGLD67ILzcGHPSn+DdKyLPVPtGf6J4B8BVV11VUiFD3VHSWZdJx8FxhewihVRp5aPwXzmH3TOTKVIZl+G4F/1zbUdkRUTGVBpPnfVYN0pF+0xls9y7b7TkAOp9N23j9/5jL4mMS8bxGm+DZ+IoeIGVhEw+OpbjGkS8SWDAnrEzKZUO4r79Z/I7jjd98oGSC0LJrEH8SJ+FFJrEGGBtLMR4IsPvfHkvE0kvUX1xxPti64HJlIMlEA24S86BdMOL+vmz+w8Rsm2iQc/Tz+B9X2en0oQDFpcPddIWqe1AP7cglss/6kA+eNZSKGdiVK3pUSNoRU3m9Bgo8BNdKgIMdoZ49sxMP9cWFFIOcyL1lmM0kWF9V8Tzl3cMQdtibUeQ0UR5U+7FULgz0BkJcm4yg+tfw3gyW1GbrZJAulbcfNlQS0z2crSiHnOcGEvQFrYJWsKJsQRJP9VYLSTqmNq21cXUu+3ec/gck6ks4YBF2Pfxn0xl2VMiLcLLL+rjnr3Dnt+9a7AsIRpcen9bDxair5df1Mc9Tw2TyLp5V5eljiPKWuUaYzqMMZ0FfyPGmFju9aLP6H32Sf/vaeDLwDXAiIgMAvh/Ty/287cNtJNxXNJZMMtgwrF75wDHR6c5P5UhmfEGeGnHWwk9dnaq5SNjKo2nnnqsJ0PdUSaSM7vqZyeT/PDweYK2zBpA5ZK033zZEO955QX0tIcIBix62kNEAl4Ooel0lvPT6VkRstr9PJt97WE29rblz1Mq2ev5qRTvuusRXvknD3DwtOeXZ8nMI4fI7E43lwDaKnhtWRZd0SATCc/v0HXnDqaLW55Y2KYjEqAtHOT7h8rnyyrXNxeWT6cNV2/uoS1sM53xJn3RoNDTFuLKjd1cuCbG8Hg6H0CgVrRHgkRDVn5SbltCNGTRvsRJZrlWupmX61tRkzk91jJwRyhg8fz5FOGAeLtqfkCCTNbho19/Jq/tSghe/sCuaJCOiOc/HwlYc0y4lsqVG7uZTDkkMw7xRAbbEiw8c+35tNkqCaRXK62oxxxhW/jh4fNYlnBBfzshW2rW9uX6s3JtdTX9TSXq3XZPJLO4rpvv/6fT3uvCcUWOHxw6R8C28tcs4vnS/aBCf9sKfP/QOdrCXttY7ThiPubtAUTkZ0Wkq+B1t4j8zGJPKCLtItKRew7cBOwF7gZu8Q+7BfjPxZ7j4MgUPe0hoH6ZPXuiM5um2we7GOgMM9AZ9ldZhKGuCJFQgIMjk/P6OyhKtdRaj/Vm984B4okM8UQG1xj2nhgnnfVSNNy3f4T9w+Ocn0rxobv3cesXn+B3vvQkPzoyxk071vHOl2/lph3rELGYSDkkMg4ZZ8Z63xbY2tdGZyRI1jXcsmvGDPzEWIKOApOxZ0fGefTYeaZSWdbGQvlyY+amSugIB+mPhQn5raNjcrtdHp0FZnMza5uGSt21LXDR2g629sfoaw/y2PGxssd2hEs3y4XlJ8YSXLaxhze/dCPv+IktXLAmRjgQmJXDrVYrx4Vs6m3DFqEjEmSgM0xHJIgtwqaCifdqo5U0mVuoTBX54yxlihULB3BczwQ463h5br1deS8iaOHiTjm29EYZHvcsZ4KWeBY04ym29NZ24fTtuzazqc+7VydSWWwLOqIBLlk3vzaL2xRYGTlvVxqtpEfwdpQffyHO6Ykkp+IJTo5N1zTXpCVCb3uwbFtdTX/TSMIBi0TGIet6AcayriGRcWalxMix5/A5Uhk334d3hIOkMm7JXcJW4rHjY/S1B9naH6t6HDEf1fy6HzLG5FtuY8wY8KFFnxEGgO+JyBPAj4CvGWPuAW4DXiUizwKv8l8vin3DcSYSWSxZWqdmi/co/AwL6AzbvPbFg7OOTTuGmy5dx+suG2RLfzsunr/Cxr7oijQJURpGrfUIeOlXROQpEXlcRB7xy3pF5F4Redb/u+BkbrlIZl3RIMPxJOPJDLblrUJ2hAOMTad59Nh5hn1ztKdPjnPk7BQZx8mvrgdz23LGiwqY06RlwenJNJ3RIB94zSWzTCiKdxwffyGObVnEwgEsa3YeJc9PbqbOAVsQge72mUli1vVMZ2wglXF4/PgY+07ODGhFpGJaBdd4gWWOn59mOu1U3NF43eVDdAQl3zhbQEdQeN3ls6/v2Nkp9hw+x737RhgZT9IRtmkLeb7G4aDN1Vt7ap6w+tqtfWwbiJHKOpyZTJPKOmwbiHHt1uYzq1lGaq7Jeuoxmc76KU9mWOxdErCgryNMT1uQdNaQzM4szrh4/qeu6867O9bTHqI7GsS2hLTjYltCdzSYX8StFdsHu3jTS4cIB20voJMxWCIMx5PzarO4TYGVkfN2BdIyesyZEqcyLpt6omQcw8l4qna7fnh927mpTNm2upr+ppF0t4UIBW0s8YIqWgKhoE1329y2YTyZJWBLvg/PPR8vsUvYSgjCdNrh+PnpqscR81GNN3WpCeKivbCNMYeBOXHSjTHngBsW+7mFxBNZMo6L8W1jFzv+sUWIhuy8g2XAFjb0tNEfC/M2Py9Zjlwy6/5YhP5YxK9Hpi7O9cqqpqZ6LKIu6VcKo8X+3F/v4YXRKZ47M+nt4hnjJYL2B2EZxxAL2xw6PZXXkWUJtuAP2LzjLKC/M8wDt/5UyXPu3jnArV94gqPnprxIoI63MzGRyMxJcl3smTA2ncZxZwe+zjiFz11CtpAqsPOsZpIVsr0djfHpTEVH7bfv2sxwPJmPbhYKWPS2h/K5EGFuMttExmUqBT91yRouHvAsnOrR/mwbaOczD47nc1BlHIe9J8Z55yu21vQ8LUa9NFkXPR44PUnAmpuTbzFkXdjS2wau46d6mE0y4/LUC2MEA5UTPqccQ18syL6Tk2SNISDCjvWxpec6K2L/cJxPP/AcR85N5TWdSWToaw/Oq83iNiVkC1v62vn4z5VO+6I0jJbRY86UuDcWYiSeYCKVpZaeSgbywWMmU6Xb6mr6m0ayvjvCZDJDMuPiGG/3LxK0WN8dmXNsLGxzbjJNMjMTHMYSoS9W20Wk5WZLX5SHDp718/xVN46Yj2p2/h4RkU+KyIUicoGI3I4XQalp6Yx4Zii5oBALISDe6r4lYAeEDT1Rrt7Sw2B3lCs39XD9JWu59dXb5uzmFZu35Z6ryadSY5ZTj2/AS7uC/3fJpjPTyQynxlNMprx8NWnHMJ0xjE4muXffCGOJNIl0lvHkTKAHEaEzGqC7Lej7+AUZ7I4QDZbvzx86eJpDZ6c8UxG/zMUzAy/V6FkF5dNpl2TWUG6xMOtC1gihgEWwQgtauCZn8BJZJzNZ2kKlVy1zFO5OTGe8Xbw3vXRoVpuTS2brdW4WUd8E5rnTU3Vtfz52zzNzBuQpx/Cxe6qO2VWStmDpFcxy5U3GcmmyJnqcSmVrMvHL8fjx85yezJYdTBwbTTCdrBy45dTYNHtPTGBZ0Ba0sCzYe2KCU2Nzc2YuhY9+dR/7T03MMnt1DZydzMyrzeI2JesaDp2d4qGDiw5PoNSHltFjzpQ4KPDC+cSsRcZ6UKqtrqa/qUS92+4dg11csbGbLf3trOkIs6W/nSs2drOjRP12rOskkXHyffh02iWRcdixrqldPueluy1EW8gmmclWPY6Yj2omf+8F0sC/Al8EksCvLfqMy8Cl67uIhmy8GHjzm362h2wuXtvOlt4olw51sbYrwta+NtZ1RjAIQ91Rbn/L5fztLVfzvlfNnfjBXPO2rmhwxUYBUxpKvfSYS7/yqJ9OBYrSrwBl06+IyCMi8siZM5VziJ0YS+CaubpMZb1Vu1gowPB4iqzj5icx3dEgyYzD8FiSs5NphseSvHB+Glvg1i8+we33HpzjU3TXnueJBmz6Y2H6OsKzzlXYv9oC127t5eqtvUT8zkqkcoJaA1yxsZtL13fN8RcsPq6QWDhAezhAWzjA6YlU2fcVJqKOBi1SGYcv/fjkrGvMJbPd0t/OhWtjXLyukw3dEc5Np+va/hwbTS6ovFqyZQY95cqbjHposm56rHXQ++FxL7psNDQjmkK92Zbw/PnKfnEHRrzcY5msYSrtkvF31XPlteLhY2N5i6BCDMyrzeI2pT8WJhqwuWvP8zWto7JkWkaPOVPiA6cnahzaqDzFbXU1/U0l6t127945gGVZbB/s5MbtA2wf7MSyrJILm+PJDI4704eLeL7H4/MsPjU7pydStPnjh2rHEfNRTZ6/Kbzt7JZh984B7n78BIn0NIEi86xSdEZsBKEtHGTn+k5OxpNs7munIxJgIpklXmW4aU2GrtSbOuqxrulXckymHAQI+A65WT+AiwEOn5nCtoSgJcSnM9z9xEkGOiP0tgU4cm7mY11gOmOYSKbKhlyPJzJEAkI8kclbAZTCMbn8exaJjGcaGhDxA0XN33nlmhYLMFLkO2jN5DoSvIAvubpV8kEoTETdGQmSyrocOTvF5/cc46N+XqNSyWzbQgECAZuPv7n1zNDKNdG1SkdQT+qkybrpMVmH9BkbetsIT1gcOzudj7SX08KGnggTqco+N/FEZtaijAtgqLrvrZaMHxCp1Lh0a3+sojaL2xTbEsL+a6V5aCU97t45wB0PHWF8OksoIDiZ5U9HXk1/U4l6t93bB7u4cfuaOTnxSo21nxmZJBoQsq5n5RMQCNheeSsznswSCdoMdM6Yus43jpiPsuvbIvIX/t+viMjdxY9Fn3EZ2D7Yxa2v3kYs4jmhz3cPJjIulgif+LnL6O+IsLmvXcM5K01FvfVY7/QrOSxLPFNJ8YItFDKe9EwVE77pyesvX8+OwU4ee2Hcey/eSl6OF8ZSZTXaFrQZT2Qxxtt5KCQWtgkUFE2mskymsvlJaDAgRAOV12Fd15016AvYMhOYpoDCtBTGGD9JuqErWn7drTARtYjkE1I/dnxmJbYwZH3ucydTDldu7K5Y72alXKycCjF0Gk49NblceqwVt+zaRNYxBG3xJn3+7tpQd5hQIDBr0FIK128LLPzUK0XltSIgXkzeUn5V82mzuE0xBsYTWdqClf0ZleWhFfWYsxizA9asSNbLSTX9TSXq3XbvH45z3/4z7BjszI8J7tt/puTOZCKdxWGmDw8GvIXcRLq1A750RQOzxg/VjCPmo9I7fxH4deDji/70BpKL/PfBL3lJmCuJajrt0N0eZPtgF5/93tE5Sak1nLPSBNRNj37KFcsYM1GQfuUPmEm/chtLTL+SY2NPlKPnpghagi0Wk77zkQX0x8LEExnSWdfPl+lN7HIDtYCfsy7XSRZuYBRr9JK1MfYcHSXrugSKeiHXNbN27HrbQmQcw1TamWkn5um5Tk+mGeiMELIg7ZYJ+FKQHiJoe6HlOyNBtvS1saU/VvazS+3qiV+eo9BJP5e3bVNfW9M46S+YcptRzZvjHeqkyeXUY63I9be33/ssR85NE7KFdR1hwqEAU6ks7/3pCyu+37a8EO4uIAW6KV64WSrtYYt0Yq7DoyUQCdoVtVncpmSNV99L1pbXsrKstKQetw928VPb+nno4FkytXTGrZJq+puK1LntLsyvCeT/3rN3ZM7uX1vIiyDuhfr3THFc19C2xDy0jWbHYBdtQZtT4ynGk5mqxhHzUWny9xyAMeY7i/70BnPzZUN8/9A5/uPxEyQybklfh5Dt5azKDTBzUTsLo+RpOGelCainHgeAL/upCgLAPxlj7hGRh4EviMi7gOeBNy/1RO971cX83n8+TSLtkHZmOjrbgtGplBeVU7xdwG/tO0VniUbbb9NndVfFGl3X08a1GJ46MU4y6+UOC1qGtCuk/bQNQRvCAZuMawgHLcIBSGf9XYEKOw4W8J3f9qKM/synvsvjJ8ZLHufi+x0A3W1hbtw+kDcjrxSI5cqN3d5AYDyZjzQctO1Zkb22D3bx/t2XcM/eEU6MJRjqjrJ750Ddzc439kQ4fn6uf9/Gnso7O/NSLilhE+/8UT9N1lWPlpTe+Vosud/+5suGuGBNjD+/71kePnae0USWTZG5aVhK0REJYiXTpBzyPnlhmzkJqZeKwYsUXDwuDViwfbCzojaL25RIwOKlmzpZ17N6c1w2GS2px/3DcbrbQoSDdn4xdDFYAFVou7itrqa/qUid2+4TfhqoQsptyFy4NsaTx8/P6sODtnBhiy/QeObB02wf7JzljraUgG6VJn9rROT/K/dPY8wnF33WZeTtuzZz6PQkjz0/hsHMskO28SIJdoRtOv3krTkbbGDWl/yWqzc0oPaKkqduelyO9Cs5coPAnP3+qXgC4xqCAQvXCOCQcSEk0BEOkMw4BIAsnn+gVeBX1xP1Uj+U0uhQd5RYOMDVW70O7OxkkgcPnCHrGHrbQxw5O0XAgi397bSFPO1nsi5TaYeutiBTqSyJTOmly9wOJHi+Q5EAOK7gGpP3JYoEhMs2dJPKeuahAgzHkwx1R3nL1RsqTtJeflEf9+8fIet6+X28HU6Hl180Oz9TQ3yMyw0sljiZsC3BKbF7WuudnxpTF03WW48X9bdx8EwNo2j6P1suZ9lAV5Sfv6Yjr8sL1sw/8Lp6cw/ffmYEyeXV9QexV29ecOq0eaoqdEUDZFzjpXMxM1HBu6LBitosblNA0zk1GS2nx5xmuqJBXrVjLf/x2MkF++TmWsigLWzpb2c47kUNLdd/FbfV1fY35ah3272QDZlrt/YRCVgcPD3JVCpLezjAtrUxLt9Y23ZkucmZBxcu9s43jpiPSpM/G4jR7GuvZdg/HM9/URetjTE2neJQQYdn4w3ihroj7FzfxVa/g6rHl6woNaCl9VjIzZcN5SeBN//5dzk+Ok00aGFbwuiUi5s1WDLTmazrjjI6mSDjek7kAQvWxEL81IsGyk6oihdxJpNZkhkX13U5MTYNGDIupLMu0aAh5ec3agvbXH/JAB2RAH/3vcNMpr0ONPelG2CgM5w/z3gqy4VrYowlsqSyLqmMg2BIOYbJlEMsEuCy3ja2ronxvldtq+r7OTgyxbVb+zg1kWIymSUWCbCuI8zBkSluXvzXXhNGJpJeGpyCu9AxXvlSCAesWTvBheVNTEtq8qqtfQyPJZgsCi4RC1mksiafF6xacr/9QsyzirliUxf37RuZCcTi7/5dsam2/e6mnihHz03THgp4g1bXMJ12uLivbV596sJw09NyeizUTFc0yIVrYxw8NVGVBnMX2d0WJGDBpG/+n3FmAhvlsGUm53VxW73U/qbebfdCdLd75wDPj05z045YzXbImoVaL/ZWmvwNG2P+oGZnWkYKV1MGuyIcOztFImO47uJ+zk6kOHpumkDA4totPQx2t825OTRqp9KEtKweKzHYFWEqmSGRcX2/OaEtCIGAnZ88veLiPs5Npdkx2FW1iWPxIs7hM1NEAhb9HVHCAYvz02leOJ/g7EQKEc/885J1nbzxJes5ODLFibEEazsjpM8ncF1vR88WsG1h5/qZ8w50RhhPZNjgm35NpbI8PzpNV9Tihu1rF8Tp67UAACAASURBVNX5nBhLsLm/Pb8gBV7gi2bwOzYIAfF+Jxf86Kie18hSCNvCRJnyJqYlNZl2DDdfMcThs9OcGU9ybipNwBIcY4hakFlABLkA5H/7hZhnFfOVJ04RCtqEMLj5VAzCV544xXteefECrq4yv3r9BfzhV/eTdQwZx8ESi/awza9ef8G879WF4aan5fRYrJnLN3Rx5Mwkju//WkxbUEhmvajU0ZBNKGARCdoELcE1QjrjErKF9lCIs1Pp/PtcA7ZIybZ6qf1NvdvuhehONVo9lSZ/Td3rVqJ4BfLURIr2cIBExuWGHes4O5lk74lxnj+f4EWDXXpzKK1Ay+qxEpeu9x2Z/VXHUCBNyBIGuqK87ALP7CSeyLBjMFr1zlmOwkWc1/7Zd+mLhYj4kfl628NgDOcTWXYOdc+aUOZWO2/94hNcvDbNUyfHmUo5tIdtXry+c5Yf0i27NnHbNw4A0BG2PZ8Jgc5IMJ+qolxY6nIs1u+40NqhXj6A3dEgY9NpQgEr73uZzjp0L9X0zbJoDwoZBxxjsEUI2l55E9OSmszdX7t8fZ2ZSPL0yXEyjiEWCfD486MY4+XHykXALYUAYnn3xP7hOM+PTvP482P0xkJctKadNR2Rqv3lj5+fpj1kEQzMRM7MZB2On69tkvdis/OcPufzScyhC8NNTcvpsbitX9MRYagnyngiiy2eZYnjuFiW4BrYOdRF0BKeOjlOyLa8QGJJL+H3hu4IT50cR4BwcG7OzWDAKtlWLznOxTK03QvRnWq0OipN/mrq67OcnBhLELBg3/A4k8kspyeSrO0I5RM99sciXLctzHA8ueABpaI0iJbVYyVyjsw7fEfmY2eneOz4GOs6w2X9+RbDYvLiDXVHiYcDvKigIynuJIsHk7FwgIsGOtixvitvdnLf/jNcsCZWdYe0GPOyYmuHUrkPa8Ev/+QWPnnfIbKu60VlFLBsi1/+yS1L+tzOSIBs1iUWsfPmeKmMk/fFblJaUpPF91coYHPBmhjvvm4rAG/+zB7SGYdI0ItW5LjgOO6cvF0i3u//3y5fxx0PHWGwM0x8Os14IsOPj42xbSCGbVtVaTdoWzjGUDgsdYxXXmsKzc6VFUXL6bFUW7+hpw2rV9jY2zar/Y8GLUIBm65okM5okCdOxJlIZIkGLXrbgkymHIK218s5riFsC6mC9BFZ1y3ZVi/VnLlF2+5VT9mW1RgzupwVqSUhW3j4yHlSGYdY2MYW4YXRJHZB+HaN4Km0Eq2sx0rkzDS6okGG40m2ronxtpdtZHg8xd1PnGTf8Dg3bl+z5AnMlRu7OTeZ5ujZKZ47M8nRs1Ocm0xXzIu3e+cA8YSXe9A1Jv+82ITz5suG+MJ7dvGd3/4pbtw+wI71XUvKE1r8nXRFg/NO4gqtHeqZn/Q9r7yYX7hmA0HbIusPzn/hmg1LNs3bdUEf7f5gIe0HPGiPBPK7U81Iq2qy3P0F3n3kDdo8M1BjoD1oEQ3ZXLI2xhUbO/MDTEtg5/pOOiJhuqJBtvTHuGpLDwFLODWe5AeHz9EWrG7yds3mHt9n1sV1DamMSyrrck2NA74oK5dW1GOxFtNZh/VdESwLHj46ylefPMmPjozSFrR4+UV9+T7oooEObtqxjht3DHDjjgGCAZuYn6TdIFgi2LYQ8fPVetGtS7fVi+lvCmnFtlupvPPXsuQiz06ns5yZcJhOe8EeJpKZmu4mKIqydArNNHI7WDsGO7l2a++ids5K8fKL+rj/mdM4rsEYgyOAUDGiWbX+A4XmlvtOjnP5xk4o2MNYTJ7QhZquLMXfaiHsH45zftrhTS/dmF8lPj+dYf9wfEm/z9t2bebUeIqzkylSWYdwwKY/FuZtrZq3sMkpvr8Kd46v27aG7z17jslUlp62AJ3RECfGEmRdl8NnkvS2hejvCGGLMDqV5emTcbYPdgKeGXDWNWzujZJyXIIBu6od6PfeeDFnp9IcOzfNdMYhErDZMdjJe2+snb+fojQjOS0WarCvPcTh01MIwuUbOwkGbO7bf4Ybt6/h4MgUT5+MM57M0hUN8MypBMmMw5pYmIHOCOnsNFnXW0ixLC+o4XXb+gkHAmXb6qWYSmrb3ZqsyMlfyjFsG2jn4aNjuMbQEQnQ0yacn87wzKlxdqifn6I0JUuJGFiJgyNTvGxr76wkqes6549oNl+nWGxu+ezIBD88fJ5dFwr9MW8ythxWBsuVn7Rev8/2wS5uffW2Zc9bqHgURx28blt/3g9w5/pO4ok08UTWMwUFTsVT9LWH6GkLMp7MMpHM0hUNcujMVD7KX1c0VPX9sX2wi4+84VL9/ZVVS6EG9w2PE/N30w6fmc77vx8cmcpHtNzQ45mFnh5PMTyWJGhZ9LSH2NjbxpmJFFk3TXc0xPWXrMn3Rbnz1FJX2na3Jity8jfUHeXBAxNs6InmAzwkMw497WF2DHapn5+iNCn12sE6MZZgU187W/prG0GzeDJ06fpOfnh4lL0nxrluW3jZrAyWKwx9PXcY1VG/cRT/rms6Zvzi+zsiXDbUzYPPniFiWdiW5wd4birNqzav5dxUmnjC86efSGQI2kLaMewc8nYDq70/9PdXVjOFGpxMZomFvbFrLlZFTkfFfc7OoU7OTqQ4PZkiGrSwBNrDAcSC67fNnvjVwxoEVLutSFOHUlssu3cOcH46gzGeiVcy45DKuuxY39EU4dIVRSnNUHeUiaJQ87XYwarX554YS9BR4Ni+piPC1Vt7SDvuovwnFstS/TaqpV7fo9JYKv2uuVDwm3raELyJXShg0RkJEAkG2FFw7yEgIrx0c/ey7nwrSqtTqMFYJOD5wGZdOv3o0oV6LOxz+mMRrrukn55okLRryLqw64JefvqStUSCs/d3VItKjhW587d9sIufvKiPvSfHmUhl6YwE2TnUSdC2WduxxJDkiqLUjXrtYNXrc0uZW0aCAW7asW7ZLQyWY/VVE12vTCr9rvfsHSGeyHD5xi4ePTbmmXUaAyL5Y3L3Xu5zgrat/vWKsgAKNXhBfxsPHzmPAXas78gHeinUY2GfEw4EeP0VQ7P6nJxLAmhbrcxlRe78geeEesGaGNdu7eOarb0EbXvByZYVRVle6rWDVa/PrTYi6EphuXYYleWl0u+au8eDts2Vm7zf+Xwiy6XrO+f89np/KMriKNRO1oVrL+hl1wW9ZBxK6nG+Pke1qFRCjCmXwrX5ueqqq8wjjzxS9v/LkfRYWdmIyKPGmKsaXY9WYT5NrkS0nVk+VI8Lo1Z61HtcKYXqcWGoHpV6shA9tvTkT0TOAMfK/LsfOLuM1VkKrVLXVqkn1K6um40xa2rwOauCAk2uxntluWil+ta6rqrHBVChj2yle2gp6HXWF9XjAmjxMWuz1w+av471rl/VemzpyV8lROSRVlmRapW6tko9obXquhJppe+/leoKrVXfVqrramK1/C56nUqr0Oy/YbPXD5q/js1UvxXr86coiqIoiqIoiqLMoJM/RVEURVEURVGUVcBKnvzd0egKLIBWqWur1BNaq64rkVb6/luprtBa9W2luq4mVsvvoteptArN/hs2e/2g+evYNPVbsT5/iqIoiqIoiqIoygwreedPURRFURRFURRF8dHJn6IoiqIoiqIoyipgxU3+RGS3iBwQkUMi8oEmqM9GEXlARPaLyNMi8pt+ea+I3Csiz/p/ewre80G//gdE5NXLXF9bRB4Tka82eT27ReTfROQZ/7vd1ax1XW00mwYLEZHPichpEdlbUFb2vmkki2k7GljXiIj8SESe8Ov6kWat62qmmbVZS0rpfKVRrn1QWotm1aSIHBWRp0TkcRF5xC9rWHu+0L67EWO+MnX8sIic8L/Hx0XktY2sY44VNfkTERv4S+A1wA7g50VkR2NrRRb4X8aY7cDLgF/z6/QB4H5jzMXA/f5r/P+9FbgU2A182r+u5eI3gf0Fr5u1nn8G3GOMeRFwuV/nZq3rqqFJNVjInXj3QCEl75smYEFtR4NJAT9tjLkcuALYLSIvoznruippAW3WkjuZq/OVRrn2QWkRWkCTP2WMuaIgN10j2/M7qbLvbuCYr1QdAW73v8crjDFfb3AdgRU2+QOuAQ4ZYw4bY9LAvwBvaGSFjDHDxpgf+88n8CYpQ3697vIPuwv4Gf/5G4B/McakjDFHgEN411V3RGQDcDPwtwXFzVjPTuA64LMAxpi0MWasGeu6Cmk6DRZijHkIGC0qLnffNJRFtB0Nw3hM+i+D/sPQhHVdxTS1NmtJGZ2vKCq0D0rr0GqabFh7vsC+uyFjvgW2Ow0dl660yd8QcLzg9Qs0UWMoIluAK4EfAgPGmGHwGnFgrX9YI6/hT4H3A25BWTPW8wLgDPB34pmo/q2ItDdpXVcbrfhdl7tvmoYq246GIp7J+OPAaeBeY0zT1nWV0oraVKqgqH1QWodm1qQBviUij4rIu/2yZmvPW2XM9+si8qRvFpozTW1oHVfa5E9KlDVFLgsRiQH/DvyWMWa80qElyup+DSLyOuC0MebRat9Somy5vusA8BLgr4wxVwJTVDY/aNr7YgWi33WNWUDb0VCMMY4x5gpgA3CNiOxsdJ2UWag2VyCt0j4oJWlmTb7cGPMSPJPUXxOR6xpdoQXQTN/rXwEX4rlDDAOf8MsbWseVNvl7AdhY8HoDcLJBdckjIkG8xvkfjTFf8otHRGTQ//8g3mo5NO4aXg68XkSO4pke/LSIfL4J65k79wv+zgLAv+FNBpuxrquNVvyuy903DWeBbUdT4JtgP4jnx9DUdV1ltKI2lQqUaR+U1qFpNWmMOen/PQ18Gc8ksdna86Yf8xljRvyFURf4G2ZMOxtax5U2+XsYuFhEtopICM+Z8u5GVkhEBM83bb8x5pMF/7obuMV/fgvwnwXlbxWRsIhsBS4GflTvehpjPmiM2WCM2YL3vX3bGPO2ZqunX9dTwHERucQvugHY14x1XYU0nQaroNx901AW0XY0DBFZIyLd/vMocCPwDE1Y11VMK2pTKUOF9kFpHZpSkyLSLiIduefATcBemq89b/oxX25y6vOzeN8jNLqOxpgV9QBeCxwEngN+twnq8wq8rdwngcf9x2uBPrzoRM/6f3sL3vO7fv0PAK9pQJ2vB77qP2/KeuJtoT/if6//AfQ0a11X26PZNFhUt3/GM73I4K28vavSfdPgui647WhgXS8DHvPruhf4fb+86eq6mh/NrM0aX+ccnTe6TnW4xpLtQ6PrpY8F/45Np0m8uApP+I+nc/VqZHu+0L67EWO+MnX8B+ApX6d3A4ONrGPuIX4FFEVRFEVRFEVRlBXMSjP7VBRFURRFURRFUUqgkz9FURRFURRFUZRVgE7+FEVRFEVRFEVRVgE6+VMURVEURVEURVkF6ORPURRlgYjIO0RkfaPrUQkR+S0RaavVcYqiKIqitD46+asjImJE5BMFr28VkQ/7z39VRH5xnve/Q0T+osz/fqfo9e+KyNMi8qSIPC4i1/rlR0Wkv8T7f+D/XS8i/7bgi1OUFkA8atrOiYgNvANY1smff96F8FtANZO6ao9TlLrSbIsqIvI5ETktInuLyntF5F4Redb/21Pwvw+KyCEROSAiry4on6xjPa8SkT/3n18vIj9Rr3MpKxfVX/0Qka8X5MJtaF1AJ3/1JgW8sdTkyxjzGWPM3y/hs/OTPxHZBbwOeIkx5jK8BMvHK73ZGPMT/t+Txpg3LaEeitJUiMgWEdkvIp8Gfgz8nog87C+MfMQ/pl1EviYiT4jIXhF5i19+g4g8JiJP+R1P2C8/KiK/LyLfA34euAr4R3+hJSoit4nIPv8cH69QtztF5DMi8l0ROSgir/PLbRH5k4J6vscvv15EHhCRf8LLFVTqM+dci4j8Bt7k9AERecA/7q9E5BF/kSj3PZQ67iYR2SMiPxaRL4pIbKm/ibKyWEWLKncCu0uUfwC43xhzMV5+sQ/4n7UDL1H3pf77Pr2IRZsFY4x5xBjzG/7L6wGd/K1gVH/Npb9qMMa81hgz1uh65Gl0MsmV/AAmgQ8CH/Vf3wp82H/+YeBW//nVeAkg9wB/Auz1y98BfAm4By+J5cf88tsABy+p6z8CbwS+UqYOR4F+IOp/zq/k6ub/3TLf+fz/vQsvEemDwN8Af1Hhuv8b8EO8pM/3AQN+eQz4O2YSXv73Rv9G+lh5D/+edoGXATcBdwCCt9j1VeA64L8Df1Pwni4ggrdoss0v+3vgt/znR4H3Fxz/IHCV/7wXL0lrLm9qd4W63enrywIuxksEGwHeDfwf/5gw8AiwFW8gNwVsrfCZc66loM79BeW9/l/br/9lxcf5bcVDQLv/+n/jJ2zXx+p++LraD3zab9s/BDzst+Uf8Y9pB76Glxx6L/AWv/wG/z1PAZ8Dwn75UeD3ge8Bb8PrMw/g9W1RvL5un3+Oj1eo253AZ4Dv4vVTr/PLbbw+NVfP9/jl1wMPAP8E7KviuvcWlR3AT9YMDAIH/OcfBD5YcNw3gV3+81yf24/X19/sv36//708Adzml/2KX+cngH8H2ua5zuvx2rYtwCnghP8d/iRl+mN9tNZD9Vd7/fnvfci/3r3AT/rH/JJ/Hd9h/vHuncBf+ddzGHil/x3vB+4sOO4oM/3sZEH5bxf/jstyPzX6hl7JD19Inf6P3kX5yd9e4Cf857cxezJ2mJmB6TFgY4mbJ+bfvAfxGoZXFt1wW/Aa/V8srJv/d8t858NbCTqKN8gN4gm8khh6mBkI/zLwCf/5/wP+tPC4Rv9G+lh5D/+ePuI//7h/7z7uPw7hLWRsA47492Suwb8ceKjgc24AvuQ/PwpsLvjfg8xM/gJ4ne1n8RZiQhXqdifwzoLXDwFXAP/m6zdXzyN4E9frgQfmud4511JQ58LJ36/i7YQ+CZwB3lp8HJ4FwdmCeuwDPtvo31QfjX+wyhZViq67ePA5VvT6vP/3L4C3FZR/FniT/3wSGMCbiL3KL3sN8ANmJne5BZq+gs/4I+C981zn9cBX/WM+jD+28F+X7I/10VoP1d+sslrp738Bv+s/t4EOvAnh88AaIAR8n/knf//i/xZvAMaBF/vfxaPAFQXf9azJX7nfcTnuJzX7rDPGmHE8sf1Gqf/7NsAdxpgf+EX/VHTI/caYuDEmiTcQ21ziHJPAS/GEdgb4VxF5R8Eh/wn8nanOzLTU+a4BvmOMGTXGZIAvzvMZG4BvishTeKsal/rlNwJ/WVDv81XUR1EWw5T/V4D/a4y5wn9cZIz5rDHmIJ5mngL+r4j8vn9sNZ85C2NMFk8j/w78DF4nWAlT4rXgDfBy9dxqjPlWpfMWnL/UtcxCRLbiLT7dYDzT8K/hdc5zDgXuLajHDmPMu+a5HmX1cMwY8194g5ab8HYTfgy8CG/Q9xRwo4j8PxH5SWNMHLgEbzHmoP8Zd+ENVHP8a5lzjQNJ4G9F5I3A9Dx1+4IxxjXGPIu3iPkiv46/KCKP4w36+vx6AvzIGHOk2guvklJtSE7vQTwTtfcbY+71y27E65unAYwxo375Tt80/CngF5jpQ6H0dVaiXH+stB6qv8osVH8PA78kXiyOFxtjJoBrgQeNMWeMMWnKfz+FfMV4s7mngBFjzFPGGBd4Gm/yWo5yv2Pd0cnf8vCneLsN7SX+N9+AM1Xw3MHbZZiDMcYxxjxojPkQ8Ot4K0A5vg+8RkTmO1e581XzvkI+hbdS8mLgPcwMMoW5A19FqSffBN6Z81sTkSERWes7tU8bYz6Ptzv4EuAZYIuIXOS/9+14Zh+lmMBbJcT/7C5jzNfxgqdcMU+d3iwilohcCFyAt7r6TeB/iEjQ/8xtIlKqvZhDmWuZVUc8C4QpIC4iA3g7DnOuBfgv4OW570BE2kRkWzX1UFYFq2ZRZR5GRGQQwP972i9/Ac9aJscG4KT/PIu3E/Dqgv+X6xPvBH7d70M/wuyFmlLXWYly/bHSeqj+PGqiP2PMQ3gT4RPAP8hMEMaFjlNz42aX2WNolzJjdp+Sv+MCz70odPK3DPireV/AmwAW/+88MCEiL/OL3lrlx2YKBoqXiEjhasEVeCabOX4fOIdnEroYfgS8UkR6RCTA7IllKbrwxARwS0H5t/Ampvj17kFR6ojf0fwTsMdf+f43vInOi4Ef+SuSvwv8kb/b/UvAF/1jXTw/hlLcCXzGf38H8FUReRJvsvi+eap1wD/uG8Cv+uf9W7yd9h+LF9nsr6ncaRQy51r88juAb4jIA8aYJ/BWF5/G80f4fsH7C487g2f+/c/+9fwX8+8sKKuPFb+oMg93M9O33YJnXZMrf6uIhP3d9ovx+k/wBpTvBF4kIh/wy76F9z22+fXr9cs7gGG/3r9QxXUWUriYA+X7Y6V1Uf3VQH8ishk4bYz5GzwT0Zfg7VBeLyJ9fr3fXIP6lqPk71jH8+WpdnChLJ1PUDDxKeJdwN+IyBSezXW8is+7A3hSRH4MfBL4lG9CmsXza3p30fG/BXxORD5mjHn/QipujDkhIn+MJ4qTeIPUSnX8MN4A+gTe4HGrX/5HwF/6g1sHb0XzSwupi6LMhzHmKLCz4PWfAX9WdNhzeA1v8XvvB64sUb6l6PW/462I5rhmAVX8vjFm1gTRNxH5HQqi+Po86D/KYoz5JqWv5VN4q/651+8o8/7i476NF4RKUUpijPmWiGzHW1QBz5/mbcBFwJ+IiAtkgP9hjEmKSG5RJYBnajXfokoCb3f6P0UkgrdCXu2iygD+ooqI/C2e2dWPfcuXM3i7GFUhIv+M55/ULyIvAB/yV+ZvA74gIu/C8w96s/+9PC0iX8DrI7PArxljnNznGWMcEXkr8BURGTfGfFpErgAeEZE08HW8NuD38PrbY3i7OIWTuVLXWVjtrwD/JiJvAN5L+f5YaVFUf7XRH97u42+LSAbvO/xFY8ywbwa6BxjGM8esS8TQCr/j6YpvrAE5R06lgYhIzHh+e/grEoPGmN9scLVmkauj33h8GficMebLja6XorQSInInXmAGza2pKDVitehqtVyn0lqs5PtSvPgZVxljym3etCS689cc3CwiH8T7PY7hmV01Gx8WkRvx/AW+BfxHg+ujKE2LiPwuc81Fvlhu963Kz+zDc1gv5gZjzLnFfq6iKIqiKKsH3flTFk2FAe5HG1EfRVEUZeVSjz5HF1UUpTpWs/5W2nhXJ3+KoiiKoiiKoiirAI32qSiKoiiKoiiKsgrQyZ+iKIqiKIqiKMoqQCd/iqIoiqIoiqIoqwCd/CmKoiiKoiiKoqwCdPKnKIqiKIqiKIqyCtDJn6IoiqIoiqIoyipAJ3+KoiiKoiiKoiirAJ38KYqiKIqiKIqirAJ08qcoiqIoiqIoirIK0MmfoiiKoiiKoijKKkAnf4qiKIqiKIqiKKsAnfwpiqIoiqIoiqKsAgKNrsBS6O/vN1u2bKnLZyczDvFEhoxjCNpCVzRIJGjX5VxK8/Loo4+eNcasaXQ9WoVqNan6UhaD6nFh1KuPVP0qoHpcKKX0qFpSasVC9NjSk78tW7bwyCOP1Pxz9w/HueOhI3RFg3REAkwks8QTGd593Va2D3bV/HxK8yIixxpdh1aiGk2qvpTFonpcGPXoI1W/Sg7V48Io1qNqSaklC9Gjmn2W4J69I3RFg3RFg1gi+ef37B1pdNUUpeVRfSlK66L6VZTaoFpSGoVO/kpwYixBR2T2pmhHJMCJsUSDaqQoKwfVl6K0LqpfRakNqiWlUejkrwRD3VEmktlZZRPJLEPd0QbVSFFWDqovRWldVL+KUhtUS0qjWJWTv/3DcW6/9yC3fvEJbr/3IPuH47P+v3vnAPFEhngig2tM/vnunQMNqrGirBxUX4rSuqh+FaU2qJaURrHqJn85B9t4IsNgV4R4IsMdDx2ZNQHcPtjFu6/bSlc0yHA8SVc0qA64ilIjVF+K0rqofhWlNqiWlEbR0tE+F0Ohgy2Q/3vP3pFZgts+2KUCVJQ6ofpSlNZF9asotUG1pDSCVbfzpw62iqIoiqIoiqKsRlbdzt9Qd5R4IpPf8YPyDrb7h+Pcs3eEE2MJhrqj7N45oCs0ilJHVHOKoiiKoij1Y9VN/rYNtPOpbz9HxnHpaw8x2BXBsizecvWGWccVJt8s9A1Ue2xFqQ3FE71tA+3ct/+Mak5RGsz+4Tif33OMx47HMRiu3NjN23dtVh0qiqKsAFaV2ef+4Tj37T/DtrUx+tpDjE5lOHBqkhu3r5nTqWnyTUWpH6UCL33q28/hOK5qTlEayP7hOB//5kH2HB4lYEHIEn54eJSP3XNgTmRsRVEUpfWYd/InIttE5H4R2eu/vkxE/k/9q1Z7chO6rWti7Lqwn5svG+RlF/ZxcGRqzrHqG6g0IytFj6UWVzKOy6nx5KzjVHNKs7NSNJnjnr0jnJ1M0REJEA0FiIQCxCIBRqfSuhCjND0rTY+KUg+q2fn7G+CDQAbAGPMk8Nb53iQinxOR0zkB+mUfFpETIvK4/3htwf8+KCKHROSAiLx64ZcyPwuZ0GnyTaVJWZQeobk0WUqLud34QlRzSguwYvpI8LSZyjqEAzPDg3DAIp11dSFGaQUW3Ucqi2e+/NlKc1HN5K/NGPOjorJsySNncyewu0T57caYK/zH1wFEZAeeOC/13/NpEbGrOMeCWMiETpNvKk3KYvUITaTJUloc7IoQsEQ1p7QaK6aPBE+b4YBNKuvmy1JZl1DA0oUYpRVYSh+pLIJq8mcrzUU1k7+zInIhYABE5E3A8HxvMsY8BIxWWY83AP9ijEkZY44Ah4Brqnxv1SxkQqfJN5UmZVF6hObSZCktWpbFe2+4UDWntBorpo8ET5v9sTATySyJdJZkOstkMktve0gXYpRWYNF9pLI4NEZG61FNtM9fA+4AXiQiJ4AjwNuWcM5fF5FfBB4B/pcx5jwwBPxXwTEv+GVzEJF3A+8G2LRp04JOnJvQFUYYARxQjQAAIABJREFUfMvVG8oOLjX5ptKE1FqP0ABNVtLizUu5EkVZfpqqj1wq2we7uPXV22ZF+7z2gl6N9qm0CovSo4h8DngdcNoYs9Mv6wX+FdgCHAV+ztcjIvJB4F2AA/yGMeabNb+SFuHEWILBrsisMvXXb27mnfwZYw4DN4pIO2AZYyaWcL6/Av4Qb0XmD4FPAO8EpNSpy9TnDjxhc9VVV5U8phI6oVNamRrrERqoSdWishJotj5yKQukObYPdvHRN162qPcqSiNZgh7vBP4C+PuCsg8A9xtjbhORD/iv/3eRGfZ64D4R2WaMcWp1HdXSDLlxF5I/W2kOqon2+cci0m2MmTLGTIhIj4j80WJOZowZMcY4xhgXzyk3Z7byArCx4NANwMnFnKMc6oyqrARqqUdonCZVj8pKodn6SGPMHcaYq4wxV61Zs2Yx1VCUlmWxeixjhv0G4C7/+V3AzxSUL4sZdo5SfWaz+NppjIzWoxqfv9cYY8ZyL/wt79dWOL4sIjJY8PJngVyUs7uBt4pIWES2AhcDxQ67i6ZZBNLs6IC8JaiZHqExmmxVPao+lDK0dB+p97WywqhlHzlgjBn2P2cYWOuXDwHHC46rmxk2lO8zP7/nWFP42mmMjNajGp8/W0TCxpgUgIhEgfB8bxKRfwauB/pF5AXgQ8D1InIFnrnKUeA9AMaYp0XkC8A+vKhMv1bL7fNCZ1Qg//eevSN6c/rkGpeuaHBW46ICbjoWpUf/2KbQZCvqUfWhVKBl+0i9r+enGczqlAWx6D5yAdTcDLvSfVauz/zRkVFu2L521ufUwtduMfe8unG0FtVM/j4P3C8if4d3c7+TmW3wshhjfr5E8WcrHP9R4KNV1GfBqDPq/LTigHyVsig9QvNoshX1qPpQKtCyfaTe15XRyXFLsug+sgQjIjJojBn2d+VP++ULMsNmHp/4+e6zcn2mwTCRzNbU107v+dVBNQFfPiYiTwE34K12/GGrRTVSZ9T5acUB+WpE9dgYVB9KOVpZk3pfV0Ynx61HjfV4N3ALcJv/9z8Lyv9JRD6JF/BlSWbY891n5frMKzd2E09kAE+3E8ksx85Nsb4rwq/8/cPEE1k6IwEuXd/FtoF2Do5Mzbubp/f86qCanT+MMd8AvlHnutSN3TsHuOOhI8CMQOKJDG+5ekODa9Y8tOKAfLWielx+VB9KJVpVk3pfV0Ynx63JYvRYxgz7NuALIvIu4Hngzf7n19QMe777rFyf+e7rtgLkTTRDtmCJMJnK8vy5aUSE8ekMmazDl378Ai/Z1M2mvvaKu3l6z68Oyk7+ROR7xphXiMgEs22ZBTDGmM66165GFOcUC9tCNGjxiW8dZDyZpSsaYMdg16q25W/FAflqYqXqcd9wPL86mXNSL9ZgM/jcqD6UYlaCJvW+roxOjluHpeqxjBk2eDuIpY6viRn2/uE4z49O89jz5+mPhblobTv9scis+2y+HNW5v7ffe5BQwGb/8DiRoE0kaJPMODx7ZorOSJBT4ym29Mcq7uYt9z3fDP37aqTs5M8Y8wr/b8fyVad+5JxRc/bMjuPywmgCBOLTadqCNnc8NL1q7Zrna1yUxrIS9Qjw/Og0Q91tdEQCJVcjm8X/QPWhFLMSNHn4zCTPjkxw/Pw0Qdvims09vPfGi/W+9tHJcevQinrM9W/rOsKMT3vpER45ep4XrevAsqxZ99l8AVX2D8e5d98IrnE5O5lmoDMM2IQDFlMph6GuCOPJTP74crt5y3nPf+3JE3zq/ufIuobe9iDpjLOqx+HLSUWzTxGxgCeNMTuXqT51I7e6cO++EYK2kHUNjnGZTjlMpx0mU1leuqlnUXbNK2XlQqM1NTcrSY9Q2rdgdDLFh+7ex6beNqZTGX50dJRUxtARDXD5UBfb1nXm37vc96rqQymmlTX5tSdPcNs3DtAeDrBtbYyJlMNTJ8c5fGZS73MfXfRpLVpNj4V9YCwS4NCZKUYn0wyPp/jI63dUbQWTm0QGbQFjYYtw8nySoR7BtoT2sM1EyqlqN6/SPV/Lse7+4Tif+vZzINDbHiSVdTl4epJta2Or1r9wOecSFSd/xhhXRJ4QkU3GmOfrUoNloHD3wDUuGIujZ6cI2EIkYBEJWEynHQ6OTDKdWZjZdrPsTCgrn5WixxzFvgVnJpIcHJkk47r0tQX47rPnSGVdOiM26YzL9587B8BFAx3qf6A0Ba2sybv2PE97OFCw+GLly2++rG4py1oOXfRpHVpNj4V94JqOCGs6IrjGMBxPlpz4lRtrfn7PMQ6fmSSeSDORdIiFPXPPU/Ek/bEwF69p5/DZaS4ZiOEaM2s3r9yEYyHnX4w+7tk7QsZx6WsPISJEgjYAp8aThPznq4nlnktUE/BlEHhaRH4ETOUKjTGvr3lt6kTh6kpXNEQy42AwpLOGkG0xmcqSdV2Ojk5yajzB7fcerHrGrZGRlGWm5fWYo9i34NCZKRCIBm2+c/AsyayLa2AskaUvFiKExRMn4gx0RdXnRmkmWlKTI+NJ1sZCs8o6wjYj48mKOwwrwcpFWdG0jB4X4l9Xbqz5+T3H+O6hc3RHA6ztiBC004xOZYhFAqSyLht6o1y6voufu3rjrGifOTPOaicctR7rnhhL0NceIpV18xO/cMBidCrDrgtXX/++3HOJaiZ/H6n5WZeZwtWVi9a28+ixMQJiMZ31Vj+MMYgIrmvIiOHo2cmq7Y41MpKyzLS8HnMU+xaMTqbJOA4Zx5DIuNh+Gl3HwNh0hs6IzUTCVZ8bpdloSU0OdEYYT2TyO34AEymHWDhQckB44/Y13Lf/jFq5KM1Oy+hxIf515caa9+8fpafNmyiICL3tYdpC3tD++kvWsnvnAPfsHeGBA2cZ6o7yrldsmRUgpisaJJ11+OGRcSaTWYK28A97jvHHb7ysqvMvdqw71B0lk3U4MDIJeBO/8WSWgCXs3jmwqM9sFhazSLbcc4lq8vx9R0TWAdfgRVB62Bhzqi61qROFqyv9sQgv3dzN+ak0yWyWoG3huAbbEsIBi6BtcWo8xfbBzqpm3OVWbsK2cPu9B3WFVKkpK0GPOYp9C3pjIeJTaZKZDAHLuzhbQAwYA+NJh+5okGjQ4rPfO6q6UpqCVtXkLbs2cds3DgDejt9EymEqleXFQ50lV6Dv2vM8OwY7S+489HdEtK9TmoJW0uNCfErLjTUNhu2DnTx+PA54kyiM4Xwiy7aB9nmTxwcsePx4nHDAIha2SWUcvnfoHF978sSsncKwLTVNKO9NfD1T1OF4knNTaYK2xXtvuLCl24+Fmm/mJor7To7z7MgEl67vZE2HNwks/H6/9uQJ7trzPCPjSQY6I9yya9OSzPOt+Q4QkV/GS175RuBNwH+JyDsXfcYGsHvnAPGEF0nJNYagbbNjfSe97WEuWtNOe9imPWwjIvTHQownM1XPuIs/O57IcHx0mpPxJPFEZtaPv384vgxXq6xkVoIeC9k+2MX7XrWNj7/5cj7y+h0ksi6prENbyMZxvV2/oAUiYFnCpr42QgFbdaU0Da2qyZsvG+IDr7mEzmiQ05NpOqNBPvCaS2gLB+mIzF4X7ogEGBlPzilPZbN899A57euUpqHV9FjYB77vVdvy5tW333uQW7/4BLffe5CvPXmCsxNJvv3MaR48cJqR8UR+3Hnlxm4iwQAv2dRNOGgzmXJAhFdc1MfBkan8Qo4lkn+eS6s01B1l//AE4YBFJOiNgREhGrD41P3PzdL1yXiS46PTs8a68URm0bt0uYnvlv4Ym/raed1l67n9LZe3vL9xoflmqe+8kNxEMZ7IcPnGTiaSWX54eHTW77t75wBfe/IEf/jV/Rw+PclEIs3h05P84Vf387UnTyy6ntWYff42cKUx5hyAiPQBPwA+t+izLjOlVlfev/sS/mHPMZ4+OY6IIAiDXWFsy3M8rXZFo9RnpzvDhAL2rBXS81MzUQx1dVRZAi2vx3JsH+ziFRf1cf/+06Qdl66okMo43gTQFgY6I+wc6i5rE6/+SEqDaFlN3nzZUH6wldPP0yfjPDsywc6hTvpjMyvQA52ROSv/+05O0NOmPu9KU9GyeoTZO0cBC77+1Ek+851pYqEAkZDNqXiSU+NJbnjR2nyS99zx127tzZuOvn3XZj77vaPzJo//8mMn6I4GMMaQyrqksi4BW0hlzSxdb+5rJ531IobWKvLtSgymtBDzzdl+fkF2XSjsPTHOEy/EuWnHuvz3+/4vPslEMgMIrjFYYiBj+MyDhxc9Wa5m8vcCMFHwegI4vqizNZBSN9nbd23mjoeOsLm3jYMjk2RdQ8Zx2dLXtiC/ouLPvvWLT9AXm/lqz04meebUBI4L127tVV8JZSmsCD2W4+27NjMynuL/Z+/dw+Q66zvPz3vOqXtVV6svarVkta6WLdmxg2MwAsMYbMDBCWQSYJMdE/IsGeCZxNkwSwg72QkhM9l1EjbMhmSSeEgWByfcNglxIMjYGGPAsvFdli3rrpasbrX6WtV1O3Uu7/5xTpWqu6urq6qrWlWt9/M89XT1qXN569T7Pe/l93t/v9NTWeIhHQFkTIeR/ii6JqpaJM7P5VXUXcXlpOs1WamfG69K8vTpWQ6enOGWnRsIGV4Ozg/tH+GRI5PApfVJszmLN+3qW3AuteZdcZnpaj2WBgRF2+GFcymm502khJzlIIHBRAjb8XLYl9q25VxHVwoos3c4yVt293N4LM28adMTDnD9lh6ePDVDfyzIsQtpXjyfIms6xII6WzdElqwFVCykkSA+iweKA/Ewb90TYjxV4OPv2FPefno6i+VIAjromkBKieVITk9nl5yzXuoZ/J0HnhJC/DOe//R7gR8LIf4jgJTyT6odJIT4G+BngIulnCtCiD7gq8B24AzwASnlrP/Z/w58GHCA35BSPtT0t6qTSqtdznJIF2ySEYPtA/FVWQ2WRDG8mPUW4sYvmYFBzY4qmqIpPUL3aPIT79rDAwdHef5cConklp19fHD/Ng4cnlj2oaqi7iouI01rslNYGBE7wC07BS+PpXnxXJp37BsqdyZ3DsYXdDJv3d1P0FgYln0164CU9V7RArpaj6UBwVOn04QMjbztIvA6+1LC2FyeTT0hnj83Vz5mOQtaPQFl7vaNIMlIoLxPQNdwHIcfnZwmqGtEA146tCMX5vnWofNd75rZThoJ4lPvQNFxpbf0RXhR8IQQCCFxXNl0OesZ/J30XyX+2f+bWOG4LwJ/BvxtxbZPAd+VUt4rhPiU//9vCyH2Ab8IXAdsBh4RQuyRUjaWdK8JSqKpbHRKVGuIgBUbp8U//lTGJKBp7B6MlfdJhA1eHkvVDApTXgg6niKVt+kJG1y3OakaxCubZvUIHaTJWp28vcNJ7t6/jYGE93lp8XOlrgqWzZHxeWZzFm/Z3c/JyQyupDx7uXtjjL5YqKxn1alUtJHVaLIjWDwDPZioPgO9uJNZshjCyh2dlVDWe0WL6Go9lgYEmYJNPKTjSonl4ke/dskWYXQmTzSoc2Q8VVMbe4eT3LF3cEmgkMpjSkaQLx0c5ZEj0wgEOwei/OjENJoQBI1LQRE3RAIN5QG9EtvdRoL41DtQ7IsGuDhfxBYSTYArwXVhIBFYcs56EVI2P3Jc8eRCbAe+WWFlOArcJqUcF0IMA49JKa/xLQxIKf8vf7+HgN+TUh6sdf6bb75ZPvPMM3WXp1buosUzH6PTWTQh2NoXrbktlbeqNk6V1zo7k2NTIsSOwXj589OTGY5dzPDGnf1Vz1Uqk+u6vHph3luIK2HPUBxd11SDuEYIIZ6VUt58ucvRKjpBk6W67TguF9IFZrIWhia45/Zd3HXDlqp6LGkD4EsHR/nhiWk2RAPs25wgZzp879VJ+mIBNvaEy+sWrhmKl634y51Paai7WE96XAtLfL1t5OcePrZkBrr0f+Xgrxqt6uCtpgyKy8N60uNa0Ej7eGoyA1JydCKDabsEdHBcEHgB0CJBg829Ea7aEFlgFKjUY0gXjKUKbOuP1Wz7qrW5X336LEFdUHS8VGjxkM5ALEjWcvn+b71txe9aqx1X7e4l6nl+/s4/HuI7r1wgV3SwXTA0iAZ13rlvE39Q4YbbiB7rsfy1kiEp5TiA39nc6G/fAjxZsd9r/raWcWQ8xR8dOMpMtkjRdjk+Mc+h1+b45J3XVHUZe202RzpvM54qEA8b7B6MMZMtAnD9lmR5P6juWlY5Q1oZ0ackgmMTGa7ZFF/WTa1UpiPjacIBnXBAp2A5XJg32VdnGgqFog7WXJMHDk/gOC6HXpsjb7k40nNn+eMDR8tuZSU9Ts4XODGZZSZT5NMPvsJn3rOPwUSYt1+7sayZJyen6Y8HPbdt2yVkaJi2y9GJDB+7bZdyCVV0Kl+kQyzx0aDggSfHyFsOmpBEgzp9sTD3vH3XisfWG7ThyHhqgTv367b28sH928rH1gqUcCVaEBRXFkfGU3zp4CjPn5vDtByKtstsrojlu/YVfaWHdFFOUQaQ9qNC3vf4aa7dFOPLT51jLm9j6ALpSiIBLzq2JgLLtn2L20jLcXClS7oAugaagIwpyZoO2wdi1INqd+ujnufn3fu3cSFtMpUxMW2HkKEzEA9x9/5tTV93rQd/yyGqbKtqkhRCfAT4CMDIyEjNk1Y2GK+Op5nLFulPhCjaDqMzWQqWy5Mnp4iFA+wciLF7Y5zBRJhjF9KMTucAb3Gl5Tg8l7coFG3CQW99Q6lTOp+3QFCzMapmBt7aH2Gkf6GIKhfKlxrCdMEiEfJ+ppChkSnYakG9Yi1oiybBq9snJzPMFWw0wLQdLNtlJgvv/4snkEA0aBA0NAqWS18swIZogOmMyX2Pn2a+YLF3uKd8vnTBYiAeRAi8UNcFz0W6JxJg73CyZsQz1alUXC6klI/7lvhK3gvc5r+/H3gM+G1/+1eklCZwWghxAi+PWU1LfD1869B5HnjyHCFDkDVdio4kV3SxHcnnv+t5z612jc+R8RSffehYRSAnwVOnZhhPFfjkndfUDE4R1IVyB1Wsa0rGibPTOeIhHVvAXN4iZOhYjoUQXtojDS/lUSkqfU/YIGM65Yjyf/69UwCEA16i3NmCRdFxefG1FHfs9drAav3HyomXqUyBZ0fnMDQNExfXz7MLEsd12RCtb9iw1knL1zOlWAit7Kus+CsKId4spfzRStvqZEIIMVzhYnbR3/4asLViv6uAsWonkFLeB9wHngl9uQuVGpupjEk6X+TsTB4p4UK6gF1xVN6WmJkihaLN0YkM/bEA01lPbLoQOK7LTNbrgOYtl2Q0yOR8gefOzvlJ4QVCiBUbo8Wj+2ouLpULPUsNYU84QMFyCAd0ZnNFskWHb790gb54cEV/79J9UJ3b9UOL9QhrqMkSW3ojfPulMfJFF3fRZ5mityVb9Kzs0YBgxv9sIB4qh5muDDnfEw6QylsMJMLs39kPeG7VF+ZNPvH1Fzk7k6NoOQvcrjulU6n02f20WJOrtsQ3Ohlz/8GzxEIG8wWLaNAgbzm4UpK3HCYzJv/pnw7zxIlp7q6w0jXKgcMTTGVMdA2ms0VM20UXgtdmc2VLwHLrX6IBTVkQFHXThjay7Rw4PMFMtkg8bBAO6IylCjiuJFW0COiCaFjHtF1sx8VyXPKWS9FxOTuTRdc0/vmF15jKmGRNl0hQQ0pB0NAJGjqm7XBqMsODpo3peLob7o0s6D9u6Y1wZirDhbTJyckMuhDYrvRz7HrvJbClN8xM1q7rOzUS9VKxMq1Oi7Fiknfg83Vuq4cHgQ/57z/EpYW4DwK/KIQICSF2AFfjJelsmgcOjnJ6KkvBj+LpSnBhwcCvhIvX6ZTSZSJdIGd6a5CChgZ4YVXPz+ZJFSzSeYtnR2cJeatvKTqS67f0LJvEsZLKxJ1T8wVGp7PLJswsJY/f1BOiYDlMpPJMpExCuoauwXBPqGYy3SPjKX7nHw/x0S89x2NHL2JoqAS864NW6hHWUJMlokFBrsrArxo5S1K0HGayFrs3eusWkhGjrBdXSjb1hMiaNpsSIVwpOT2Z4flzcwz3hBhOhhn2I6Odnsws0JqAupOxwkL9fu7hY6vWUaU7uEqQ3dW0WpPVqNsSL6W8T0p5s5Ty5sHBwaonq6zLRy+k0YSX46vouGjCu5hpSwqWTSpv83c/Psddf/pDbvk/H+ZX73+64fp/fi5PKldkJmthOy5BXSCRTKRNXh7zzlPykElGAoynCiQjAT7y1h2Yjlw2xYtCUYW10GNLOT+Xp+gvWZjOmMxki5iWZ3WzXUmu6FCwXCwXbL/hLFguF9JF8qbFfMHBtFwkYDsuGdOhaDsEdEHRActxSRcscqbDXK5INKAtaGv2DMV47uwcqbyFdCW262I5nsvoYCLEpp4wyUiADdEgsvpjZwl3Xj/EuZkcjx29yEMvj/PY0Yucm8k1nRRe0VqWtfwJIfYDbwIGSyFyfXoAvfpRC47/Mp77yoAQ4jXg08C9wNeEEB8GzgLvB5BSviyE+BrwCmADv7aatQxHxlP860sXyBVtHClBLtNKLsJyvDx/QV0jbOhs3hDhQqrAfMFC0zSu3hhj50Cc7x8rBZeIlBPhulIuaYwqZ/WDumAibbK1L8pw0kuWqwlB0XYYT9lLIgItTkPx8lianqjBxp4wuzfGGIh7ncVqs5+VC4Z7I95P/MK5FDeN9JY7t+2eMVUWjdayWj3657hsmqzkwRcvoIvqEzHVyBYdBntC5Tq/z7cSlOrX9oE477xuiGMTWc7P5bkwb3LTSC/bBzxLX+nveNokGNDLWvvrH56hL15fp7LeSISN1Hu1JqK7aYUmq7BqS/xKVAYTG08VyJsOr45n0DQvoESlLLPFS1M0roSJdJH5/BSvjqd56OUL3PP2XXW5hG7pjfADy0UAhu7NOQsgqGukC5csCdVmt7vZgqDawbWjTXpcE7b0Rjh0bs5bDpGzcCpEaLugLRpylSI+AqRNh1hQIPE0VXQgiEveEji+9c7QNVwJsZBOPBQib7lsr+gLHpvI8rqtvZyaypKzXaQr0QUUbJeI4yKlF200YzrcsnNhXs9auH5ASeHPXbltDDCpaIxabp9BIO7vUxkiNw28b6UTSyl/aZmPbl9m/z8A/mCl865Eyd0zY9roGjhOfQM/8BoiXRMMJ8NMpE004S2sjYUC6Jrghqt6GUyEGZ3x1gO+0Xcxg6WN0eLO4uPHJpkv2GxKhi4tvO2L1oxkVtkQfuLrL/qLdi9NAC/XUS0nCXVcEiHDixQKnJjMcsuOvrbPmKqQ3W1hVXqEy6fJSo6Mp7woZg3g4jV2JYtdaZJkcV26y/9b0kolI/0xAobOZ99/Y3lbI53KegZqjdZ7tSai61m1JqtQssTfy1JL/N8LIf4EL+BL05b4A4cncF0vIJLjugQMgVWUZYvCSuQsl16/Uf3jh47yxIlpTEfWHNzcef0QX3vmHAXLQdP8Tqot6Yl4lvxaNJI3qx00O4BT7eCa0w49rgl7hmJ85cdFMr6X2mIqpakLL/6DIyW24+nWtB1ivsu25UhsB1zpoOElhQ8HvAAhQniebOmCtSTGRDSkY7uSq3rDvoXe8SyKtmeBHE6G2dwb4YN1Bhk5cHiCbf0xbriqt7xtOYOFYu1Z9qkrpfw+8H0hxBellKNCiJiUsvl08mtEaW1BxBBkfTN4PZQCT/THgrgubIgGGJvNMZm1AAgbcOi1FDduheFkiIOnZvnmoTH6Y0FvUKZpCxqjpdGTJPGQzomLWQbiyy+8XY5GOqqlTmXlesFSsJi1mDFdC4vGlTaj2q16XMyBwxNeslLNX8FeJycmc5yfO8uGSIBoQFuw/mhxXQjpYsGaQKiulUY6lfUM1Bqt95WaroxqWu96XsXlZbWavFyW+PNzecZTBUKGxlTGIhzQF1j46iFXdPwgTBY/PjPDhmiQF87O8dDhC+WULZXsHU7y9msGeebMLNM5bz3vlg0Rdg3Gypb55Wgkb1Yz1GpLVjOAU5b9taWb28hjE1neuLOfh14er6vPavsjxNJAMRzQifmBAV1p4/hyHumPsaU3zPHJLMcvZgjoAtuRaJrg8WOTbOkN87mHj/HKWJoLqTxIiaZraEKiaxqxEERDBtdt7il73NRbd9XkZmtpdZ+3nrA9m4UQ38abURkRQtwIfFRK+R+avmobOT+X52I6T96WjfQtfV9pSd5yyVsmluNiVvilFR04eXGemWwRIWBjIsiGaJCZrEU6b3PP7bsW/BCLK348bGAWbdIFq7ytkYFYIx3VUqdy98YYz47OAZAr2qTzNo++epG37O5va+ey3aJv1Yxqlw4gu0qPizk/l6c3HGAsbTZ8rOO6zJs2jx2d5ELa5BPv8izmi+vCWKrgWcgX5eNcrJVGOpX1TL6sVO8X17c9QzEeOTLJTMbk2EQGBAvW815pFoIu1SM0qcnLZYm/kMrx7OgsEi+KX8mXRFC/l4ztukxmTAIaTMybRIMGfbEA6YLN5x89yc7B+JLf7u7928hZ7pK8X/WsAWp1sIMSK7UlqxnAqc7vZaPr2sjzc3lM28FxV1ahI8FZ1LlN520yBRtHQkADTReEDI2gLjg6kSFsaGSly2zWQQKbk2GmM0UupPIEdI1tfWGOXkija4JECBAatuvy5t39xMPBBR4z9dLN7tqdRju8COoJ+PLfgHcB0wBSyheBtzZ1tTUgpAumMlY5N0q9GJonqqLt0hcLogmtHO1IFyVfaslUpkC26PD67X3s3zXAXTcM88Zd/RybWDjBtKU3wnzFWobdgzEypkNQ16oGeIHaASWWWwy/nItNKm8R0HVeN5IkX3Q4P1egJ2Lw5t19BAy9rYElFn93aK3oKxvkegJ1VKOLg210lR4Xs6U3Ul7z0yiWA3nLIW85TGVMDhyeqFoXtvXHGOoJYdkO3z1ykadOTxMJVL/m3uEkH3/HHj77/hv5+Dv2LPsgLWlquQBNpe+uSHpQAAAgAElEQVS2XL2vVt8eOTLJHXsHuTBvYrlep/jm7RvYPhBvuD53O12sR+giTf7V94/z9JkZHD98u+SSS1kjLWbBcryEw47EdlxGp7O8Mp5mPJVnIl3ggYOjS45ppA1bK1ZqS87P5ZsONtNMO9jqoFJXKF2jxxJbeiM8fzaF1mDT6IUk9CiNB20JYUMjGjQYS5mEDI2hZATwghhGgwa2hGQ0wIZYiAtpk5mcTW/EW96Us1xCAY3hZJjxlNl0v62eNlNRH63o8y6mroQdUspzQiwINtaSwA/tQEI5+WW9lDzQhnqCDPVEvMhL/sp36Q/8HL+hlA70hg0GE5dm9Ko1BostdUFDZ6Q/yuZkmPFUYYmVoZ6Rfb2znwstGja9sSDXbkosCHUP7XM/afcajVbMqHazS0436XExd14/xP1PnG7qWIm3+H0ubyFmc7w8lqI3GqxaF46M50iEA7xhR1+5Dq5mpqweK2Gter9cfTs2kWWkL8otO/rqWs+7XulmPUL3aPL+g2fREGjIuqLtVkPgDRwLpoMDJEI6+aKDIyWuCwFd8N1XL3J3Fe+SZi147bIKr9SWrMZ60Wg72GlrBLvYEt81eixx5/VDfOEHp7AbcVfDXw8PICgHZTF0gWm7hAIuuaJNwbK59eqBBTmjM6aDlJ52S95ow71hxuYKfkqHCAXLYTbX/GCt3e7a7aTT6n47vAjqmWc4J4R4EyCFEEEhxCeAI01fsc0UHUnAqBYVe3kCGhiaYC5nMTlvYvvRjcDrbArfHUvgiW0mZ3Hw1DST8wWgemNQbZbzk3dewx/8/A1VrQytHtlXWjRG+qJsG1g+oXyrafcMbyssi6uZ0b3MdJUeF7N3ONmQhaFEpaJd6UUPe23Wi6JbrS6k/TV/rdBTaTb+r394BoAP37q9qpWwVr2vVd/abSnvBrpYj9BFmpzNFik6spzOoRG29oboCekEDUEspKP58RNzRS/IhON67aPlSLKmw5eqWP+aoZ1W4ZW0txrrRaPtYDtm95ulyy3xXaPHEnuHk/RFAw0tVSrhUmoTPbyALxJNaBiawJXw7OgcuvAGhabtEg8bxMMG86ZDTzhATziArmkMJkJEgzrzpo0Qgrfs7l9Vv61ez5pOohPrfjv6CPVY/j4G/D94CWVfA74DdKzv9JbeCIamYTYw0WM6UHJ6GUt5AzpNXHKHsRZNkeaKNq+Opzl5McP1mxP0xcNVZ/NKFb00g1B6iK915L/L4XvdrjUa0BrLYhf7o3eVHhdzZDxFzqwvSWwli9vEgu0gpWQuW8R0JM9nTFK5InnLRdMEkYCGORgFLv2+i9ffPXBwlOfPpZBIXre1lw9WSWL9rUPn+fyjJ7Ecl/5YEMt2uO/x3LKduOXqfa36drmjGXYCXaxH6CJN6poXEr7e9EeVpAsOtvRyf0VDBgKBoTnkrIVncoGMafOvL41X1VSjtNMqvJL2Vmu9aKQd7KQ1gl1uie8aPVYSNDT0BuKgVe5bsviBF7tC+GYdTQgiQW+WJl+0mc5aOK7LSF+UgXiQcdPmmqE40ZDOU6dmEcBbrh4gHPBy6d5dZ2TPTmK1VrtOrPvt6CPUY/l7vZTy30kph6SUG6WUdwMfaPqKbWbPUAzHbdah5RLLeY76+iJkaFiOy+Gxee7YO1i1UjQyg9DO2f/15nvdCstiF9+TrtLjYv70keNLJlMaxRDemoaJdIHHT0wxPpcjV7SZyVk4riSoeylanjo1y1SmUD6ucv3dZx86xsFTMxgaBDXBU6dm+KMDRxdo88h4is9/9yQA/bEgpu2Fx3ddt+HZ+Fr1rRPXQq01XaxH6CJN7hiI4crGfeAEXpsYDxpEgwaOIynYLiFDXxAwpry/gKxpl9u71axla6dVuB7trZX1opM8ALrcEt9yPQohzgghXhJCvCCEeMbf1ieEeFgIcdz/u6HZ8x8ZTzExb9Y9IxPQ/IjZPtGgTjig+zEl8Cd3JAOJEG/a2YeuwYW0yVBPiJG+KAXbZXQ6x7b+CMcvZnnhXIprh+LcsrMP26Vr26BWWO06se63o49Qj+XvPwshTCnlowBCiE8CbwP+sumrtpFjE1k2JsKcnV39DxXQPLfPSj06vrDSBYv+WBBd0zg2kS3nGKtkuRmEBw6OMpAIL5iZaOfsfzf7Xi/Hai2LXXxPukqPlRwZT/H4ialVn0fTBLqmoWsSs2AzljK5akOEHQMxHFcyOW966wKF4JnTs7zz+k1L1t9NZUwSYYNwwPddE4KZbHHB7N6BwxPYrqQvFkAIUd53PFUgYDSWM3il+tZOS3k3sHc4yR17B7n/4Fkm0gWGesJ8aP9It9yTrtHk268dYmw2x3SuMeu7BOZNm3k/SK8AAprAdiWiIkCh4FICak33XBe/dHCUibTJVMbEtB2OT8xz+HyKT7yrvoFUu63CnaK9TvIA6HJLfLv0+DYpZWUD9ingu1LKe4UQn/L//+1GT3pkPMUfHThKoeisOClT0pfEs9zoAsIBjUhQx5XQEzOwnAKulBi6xpZkmOmcxdhsgVhI5+btGxiIh5mcL/DUqRnmCw63791YrmursdR3wjq5VljtOrXut/o5Vc/g7z3AN4UQvwXcCVzrb+tIzs/l0RpdzLAM0aBOulBdjqYtmc/bWK7ka8+cA1hS2au5cZi2zY9OzPD2azcuWdTdzsFIpzRwnUSX3pOu0mMlDxwcxbJXv+6+6EgKloOhawR0gRBwIV1gKOFFLjP8Nbx90QDj6QJPn5nxGsawwYHDE7wynsK0vbUOJUKGxnzBXjC7d34uT18sgGm75YFfyNCYzhbZv2ug4XJ3aX1bE46Mp3jkyCT7hnu4ZUcf8wWbR45MVk0Z0IF0jSbvvH6Irz59Fi9VYPNIoOhKQkA0oJO3nPK6IyE863wkYJAIG3zz0EUEgkTYoCfs6en0VJYHDo7yBz9/Q11l7pRBUTvppAnJLr/na6XH9+Ll6QS4H3iMJgZ/Bw5PcGoyg12H1U9yyQAR0CR9sSBBXSMc0Nm9MebnkQ6iawJNCF46n6YvFsCRksFIkGdH5/ipbb2cmMwSD+kUHbe8vrRUlmYDMnVCsKJqfe6CZfPU6em6B6VdXvfrZsXBn5RySgjxHuAR4FngfVLKOo3Ta8+W3giP5q2Vd6yD1DIDvxJZyyEa8NxeSpX9jr2DHJvIcn4uz9mZHEXLWRBl85WxeTZEq89MdMuCWMXlo9v0CJdmBL/50gU/ouXqi5sq2IQMgeNIJF7uoplskaAOsVCAcEAnGgowrGnMZS3euKufRNhbx3BuOo+ULBjUmbZL0NAWzO5t6Y1QtByOXcwA3sAvXbAJ6Fq3uCN2DZ24zqJeuk2TjUbDrkXWdPilN2zlsWOTTGdMLEfihWOC/liA+YLNfMFmczJc1lo4oCOl5Plz9bliddKgqN10ygRRN1vi26RHCXxHCCGBv5JS3gcMSSnH/WuOCyE2VjtQCPER4CMAIyMjSz4/P5dnPNWYp1pQFwghCOqCG7cmGZ3J8+TpGUKGxp6NcVIFmxOTWRzHJVsUbOuPlqNJn7iYJVOwMTQWTICuxrWx2vP7zFSGD9//DAFdK9efu27Y0tT562Wx1W5yvsDTp2eJh426B6VXyvNm2cGfEGIer8KXemtBYCfwPiGElFL2rE0RG+PO64f4y++fWJNrCQmhgE7I0EhGAsxkTD7/6EneuLOf4WQYy3Z47qyXZH3bQIz5gs1szuJNu/oWnKcd/sSdYIJXtI5u1WPljKChgaO1ZvAHnvV96TawbIur+gxM28XQBKYtFzRKe4biHDqfwipIpJQIvNDXI/3RBYM6bwYwx56NcS6kC8xkLQxNcM/tuzpCS+tJ450U7KJeulGTDxwcJVNozeQoeMFd7t6/jeMXM8znLRzXQdcgoGuYtmR0OksibCyJLOrdsI4dH1/xdKMlvs16fLOUcswf4D0shHi13gP9geJ9ADfffPOSSh/UBcUGHWIiQa/fmSrYnJrMsWcojutKbMfh0Pk0w8kw0YCGHtIxbclVvRFOT+cI6YKJdJ580SVr2mwfiDGVKTAQDzfl2lhqg77xwnmGEiF2b4wzmAhzfCLNs6OzaJpgz8Y46bzFvd8+CtDWAeBiq93LY2kkcP2WnoYsnJ0yCdNOlh38SSkTa1mQVrF3OImz+ngvdaFpgr6YlygT4NRUhol0gadOT9MTDrB7Y4ybRnoZT5sEAzpbeiPcuruf4KL1Qq32J+4UE3xledZLJ/Vy0a16rJwRHE5GOO5b0ZrFEFR1jymtMxKArntrkW4a6eUHxydxXPjOKxfKmtw2ECNnOQwlQuVon7fs7Fuy3qFyBjAY0Nm/a2HdvZz1utM0vlo6dZ1FLbpRk159b90EDHg6uXpjHNN2mS9YfiAYjaCmMTlvIqVkdDbPUCJEMuK5fWZMh1t29q18ctZfXe8GutES3049SinH/L8XhRD/BLwBmBBCDPtWv2HgYjPnnssWGz6maLvemlvHBQEvnU+RMS1SORtHSs5MZwnoGkgvn+fTo7MM9YSZy1vM5S02JkJEgjq2K3nmzCzXbkqgaVpDro2VuhxKhEgXbJ47O8dNI7288FoKXdO8lDCaRjLixZa8/+DZtg7+FlvtLEdyy05vnWOJTp9UXCtWdPsUQvxb4FEpZcr/vxe4TUr5jXYXrhmOjKewW+jWshIX501Chs7xiTRnpvNEAxqJkEHBcnh2dI7XjSQZ6Yvy2fffyJHxFF86OMqjr15kQzTAvs0JQobRcn/iVj64V9vBVQ13a+k2PVZadG7cmuTk5OoGf6XQ1hpe91XiLXqPBHWKtosmIKhrFCyHHxyfYiJl0h8PLNDkNUNxrtvsRfBbieVmAFtZr5vRWDd2zmrRzessukmTEonV4tnRf/PH3yNr2uzZGCMcCJMuWBhCMJUxKdguybCB7biMzeUpOi494QAj/VE+WGcY+QOHJ3Acl1fG02QKNvGwwaZEqGvrejfQjZb4Eq3WoxAiBmhSynn//TuB3wceBD4E3Ov//edmzn9kYr7hY4K6huN6LtSGBhdyFlJKbCmREixbouFSsCWxoIZ0JY4rmc1Z3DTSy41bNzA5X+DEZJaZTJHxtMln3rOv6ZQIVw/FeXbU83I74XsBBA2NDdFgef9ESGciXVjudC2jss3+3MPHSC1aBtbpk4prRT2pHj5dEhGAlHIO+PRqLtrOsLmtTIiqC5YEjyndsIAOmgYb4yF0AU+cmkEg6Y0Gy5EBQ4bGK2Pz5fDy9z1+mqChl90+f3RiBst2Wj4QalWo2laEze2kxLXrhJbrEdqnycXhy1cbi0ngpWaQQMgQGL5GpZQEDQ1NCExH4kqwXZeBRJBs0WU2VyRkeOo9OpFZ9Zq9VtXrZjXWieGoV0OXp7toiybbQVATTSWSrsXGeBDbdnnqzCxjczkSIYOxuTyTGRMBbOwJM5wMo2saArjtmo188s5r6v5tXx5LcWwig2k5xEM6puVwbCLDy2NdkXC8K+mktBNN0Go9DgE/FEK8CPwY+JaU8gDeoO8dQojjwDv8/xtmqhRCtwEKloMrJQPxEJPzRYK6wPLTHOnCC7pkuxAP6riA0C61UTnfx3QwEWb/zn5++ic2MdIXBWgoHcviNsjQBJPzBY5OZAgHdBIhg1jo0ufzpsNQT7jaqdpGl6cQaiv1RPusNkCs57iVaEvY3EePXGhB0TwkniuZjpcXSRMQCWjoQuBK2JQMI4HzqQI50yIaNCg6LgXL8TqaUjKbt7nz+qEFncVkJMBQzyU3p1Z3cBa7UB2fSPPM6Cym7fKBv8rVvfC2FdaFbp5B7FDapUdogyZLFp3ZrMmrF+ZxV7nu3gUs11stZNsSKcBxwSp6Vj8kxEI6+3f2cXra64jO5SwyRZuA7tATNuhpgeZaVa+b1Vg3ukmuY9qpyZZydqb1z92xVAGhCTS8oEvDyQiZoo0mBLoGQgj6YiEiAR3bpS6LeyXpgg2CBQFjTNv1tlfQrJeKWpawlG62xNNiPUopTwE3Vtk+Ddze7HkBvnXoPFmrsQV/hoBYyGAwEfJcqIs2EUNDSkkkoJOVDvGQQbZoEwlqFGzJu64bYiAe5uDJKaYXuZnOF2xCumjYk6XUBlmO51ETMjSu6o2AEIQMjdGZHKm8RSKkM286ZE2be96+q+l71QxXSvCWZqhHEM8IIf4E+HO88dA9eBGUWk1LwuaenMw2XYB4UMOREtsFy7ceaMKb0TCQhAwdy5XommCkL4zjejm/NvWECWiCnOWA9MzrGdMhoAtu3d3P3uEkf/3DM6vqLB4ZT/HAwdHyGqXXbe1dNidL5YN7IpXjB8en0TTBVb1h0nmL3/+XV/jWoXGioUDNxq4VHVzVSW05a6VHaIEmSw/fTz/4Crmis+r1RgHNc/0UeGv/DD+svO2ClF6rvyEW4NRUzg/24tIbDWDoGu/YN7SkLjZKqaP4ylia4xPzXLe5h8GEp5Fa9Xq5DmazGuvyztkSutw9fC01uSrmzdWleKhGwfI6dtGgTsH22j5NCMIB4evdozLIy7cOnV8SSXK5CclkxCCVK5YnVU3bRUpJMnKp+9Js/SnlWJvJFinaLscn5jn02lxDlsn1SJd3mrtGj/cfPEtE18i57oqt4mA8QK/vRjmTtcreZem8hS0haGgEDZ2+WLCsQVcKRvoi5TVvm3rCpP22orLdiAS0hichS23QqckMQd3TuelIbhpJEjR0BmJBpnJWWeP3vH1X26N9VuNKCN7SDPW4fd4DFIGvAl8HCsCvrfK6pbC5z/phcGFR2Fxg2bC5QohnhBDPTE5OLvm8YDW3nsEQ3oDPdmBTT4jrNieIBTU0PCG87+at7N2cZCgRwpWS8ZTJ2Fwe13UZS+XJmDZF27t2NKjzhh197ByMl9c11ONGcWQ8VdXsfmQ8xWcfOsbBUzMYmue689SpGf7owNGqpvlKF6qnR+cIBXRG+qIkIkEMTZC3XJ4ZnV3RzawVrh/K7N5y2qFHaKMm9w57616Hk2H0VQaaCAd0IgGNkKERNjT6YkGS0SCJsEEkoOEC52YKnJnOcGoyw4mLGU5NZhFi9XWv0kXzxq09zBdsnjo1w0Q6X/PctVw7m9VYl7tJLqHL3cNbrsn2LY1o/Xr4VN5GSsgWHfrjQd6xb4hdg3EcV6ALgZReXs6M6fC6rb1869B57v32UdJ5i43xYDkS4LcOna96/n3DSa7dlCAc0Jk3bcIBnWs3JdhXUdebrT9fOjjK2ekcQNmF7ex0ji8dHG3R3ele9g5766I/+/4buy0NVbvayJYzkS4QCeroK6yHCGgg8SxqG6JBesIGoYCO5UiS0QCv29rLbXsG6Y0G/CUPkkTIoGi7DMSD5b6Xrmvc8/ZdS9qNoiMbXkZQaoOKjovlSEIBnZtGehlMhEmEDaLhAF/76H6+/1tv42sf3X9ZBn6K5aknz18Wz92rlbQtbG6zS9ltCbYj0YQnyGQkSNDQcV1JqmBx4mKW12ayFGwXAWhCULAcbBcvX0okSJ9v3i7M5Ni/a4DXb+/lwOEJ/vqHZwjpgrFUgW39saoz9bVmLg8cnmAqY5IIG2XXF4RgJltcdmamNNvxjRfOszEeRNO8cf5srkg44M2erhT6thXWhS6fQew42qRHaKMmwZtIeOHsHIVVLjiyHRchBJbtommeBqUU5Is2uublF3OBgiUxNM8NxrQdpjJFiqtYX3tkPMWnH3yF6YzJQDzE7o0x9u/q4/D5NC++luKd+zYtW69ruXauRmPraUbz/FyegA5PnkqTLlj0hAPsHIxyfq71lqpW00ZNttwNOxLw2qhWYruSgB+FdzjhdTR3DcaYzJj0+HU6Y1qkCzaPHZ3kwRfH6AkbFXqoHQmwlHJl73DPAo1UTrQ0a0F//twc8ZC+wKUUKXn+3Nyq7sl6oFvdYduox5Yz1BPmlfkCQgjPdWUZbBdcx+W12QJDPSEGe7z1eiVPltLSool5k+MTGSIBjc29EaIBjQspk4CRZt9wstxG3bXo/M16aO0dTvLOfZuUd1cXUivP359JKX9dCPEvVJkulFK+p9mLtjNs7qqRntDOz+Yo2C4ulwZ6Mzkvz1ciEqAvGmQ+b+Hl/BQMJ8PEQl7kzh5fjJWDufmCtwaiaDuMp+wlg6DFHUTLcTg1meE/fu1FBIJc0WJj4lLjFjI05gv2io3bUI/n6llqYE3bxXXlgoW4yzWSrRq4radO6uWinXr0j2+rJu+8foiHDl9gtYF4LVdiaAJNA13zAivNZi0viIWUaBpI17tBjgvRoMFAIsTrt/c1vb62NDEzkynSFw2Uo4b+1LZe3rpnkPFUoeY6plodUzU54hHSBQdPzZAIG+XIrE+dmmV/nekALgft1mQVVu2G3Y7BH3gDv4FYAN0wGE8V2D4Q553XDXFsIsuTJ6c4P5enPx5kIBZk8jWTyXmTaNCgP+6lSaoVCbAejWzpjXB6MsOFeXNBRNAdg/Ga5fbaVodJ3+0zaGjEAjqBRemYmqVbB1Dd6IZ9GfS4aj60f4SPf3UWp46GUdc1bMtlYt7kdSO9ZW+TkpHh/FweV8Kbd/UvqPfb/YFZrTZqNZOQ620JwpVCLcvfLwO/Dny2lRdsd9jcZlcUlY5z8QK8zJs2saBBznKI+Qk1dd/SMJyMEA3qhIM6+aJNJKh76x0sp7wWoepsf190WRFWdhCnMgWeHZ3z/KglBAzBXM4mqFtsiHk+36bfUK00u/Kh/SPl5JqJkI6UXo6YN1Z0qmrN0qiBW8fQFj1C+zUJXj265/Zd/Nrfv9B0Ob3ouwKJJKBr9IQNwgGDmUyxHN2s5D5Tini2rT9KxnRWFWSopOW+eBDTcspWghMXs+wd1lfU4EqzqkpjlzIzV9LabHRtoW2a5JIbtgT+yreuL3DD9q30S/Ddtj8CMDIysuCzYhuS4JZybM4X7HIEzrddM8BdN2zhLuADp6bZ3Bsp1/+wv27vQrpQHvytNhLgnqEY//jca8RCBomQTjpvMT6X510ruHhv74/w+LEpQgGdkCEwLZd0zuKtewaaLkuJbhxAlejSVDLt1GNbuOuGLfzF907yyoX5mg87XYOiI9naHyFr2tiu95u8fnsvjxyZLNex58/Oks5ZxMNGeS16PW3faiYh1QRmd1Jr8HcSQEr5/RZfcwj4JyFE6fp/L6U8IIR4GviaEOLDwFng/c2cvNnOQimlgyu9jqMtIRzQMDQvmfvRCS8/WSIcYEMsSLrgLZiNh3QQgnnTpiccYHt/lO0D8YbdUCo7iCcuZsth6RMRg92DMaYzRS7Om4QDXrjsjOkw0h9dcf1SyY2mtLh+UzJMLKizsSeCK6Wapeke2qVHaLMmS9x1wxb+1y+/UDVJey10AZuTXoJa2/Vcs7f3x/jJkV6khMmM6U+8eNZAXYKLLEcFjPuzkSFd8LmHjzU8C1/S8u7BGM+d9dzBgrqXx2yxdqrN9KuZ0ZUpOpLX79jAqalc2XKzdzhBsdV5CVpLOzXZFjfstuTA9U9ZdCT9caO8hu+12Ry5ouTlsRQ9IYOALogGDYZ6QpydyWNaDq7rrhgJsJ5B1LGJLDeN9HIhbZIueO3oNUNxjk1kl7i4VdIbDdIbDWI5DqbtYmiCiL9ttXTpAAro2ijd7dRj27h93yZMx+X0VBa7ytyMAPpjIbYNxNg33LPAgPC5h48tqGMD8RCpvMWJyWxdgcgqWc0kpJrA7D5qDf4GhRD/cbkPpZR/0swF2xk2t1EEl2abJV6HLmTonv81kmQkSNF2SEaDhAyNi+kCMzmLTT0h3rCjj9GpLM+fm+OmkV5G+mML1iIcODzRkB90ZQcxlS8S0jVMR5ajCd56dT9PnZ7xohoiuWVn37LRPhdz1w1bFqylWNxBVbM0XUFb9Ogfu2aa3BALMpkprrwjXjSqTckQfbGglyNM07h1dz8CCBh6WVtv2T3AD05MoQuBoQuKtkuu6KV1MC2XbX1Rzs3kcKUkYOgNz8KXJmYGE2FuGuktJ8btj4cWHF+rk6pmRmtTusf7d/aXt602Musa0E5NtsUNO7hSZIkmqOyvZosOQngJp//7Y6fY3h/DdSUzuSI5y2GkL0p/PEyu6JAu2FzMFFeMBFjPIOr8XJ5oaKGrZjSkrzhYKTqSW6/uXzDpsHMg2pJJhy4dQAFdG6W7bXpsJ3deP8Th8ykupArkiw6uXKgpQ/NSjG1KhJZMGi6uY7s3xnjmzCwzmaKa3FfUpNbgTwfirD4vc0cSDggsW9IT1nHxAkU4rmRTT5ir+qL8/E2b+fx3TxIOGuXw0uGgwU39UcbTJgFDZ8dgnHdd761rqNapa2S2v9J0rgkNhOCmkWR59iYcMHjPjVsazpG03LVUx7PrWBd69AJB1Df42xALEDJ0JjNFNvWEedOuPoKGzuh0Fk0I6IuSCBsMJSNcuymBablMZkxCAZ3tAzEiQYOesMGOwTiT8wWCFQPGRmbhKydm+uMhgoZOKm8tGTjW6qR2WbS8NadLraNt0WQ73bCHe6PM5NKtLG4ZQ4NY0MB2JDNZE9e/LcM9Ic7NFciZNuNzeQYSXsL3P/yFn6grAmA9g6hm14y2c9KhSwdQgNLjWrJ3OMkn3rWHzz9ynMeOTZKriFivCdiYCLF7KMGOwfgSb5XFdWwgHubaTQnG0ybjqYKaaFQsS63B37iU8vfXrCRriKHB1YMJfubGTWW3lHTBJhkx2DecLAvsGy+MkcpZZZfO67f00BcLMZ4q8Nn3XzKUVHMracYPujQoKz14g4auZm8UJdaFHm/ZOcAzp2dZKYZjJKABgr2bEmxMRhZ0oLb1xzyLfCRQ1tZ/+bnra2rrE19/kf54Y6GsS9Sr5W6e6b/cdOm6kXZpsm1u2Nv6Irw81rrBn4ZnpdCAgK4xmytiaMJbf6t5rtfhQAQhBBfSBVIFm50bA/zb1w1zbCLL977+4oou2PUMoppdM9rOQU6XDqAApce1Zu9wknvuuMDvBd4AABoMSURBVJqLGZMTk1mEhIAuCBga127q4X97Z/XJw2p1TNM0PvOefZ3+WykuM7UGf101e1IibGgUqjlO+wjgX+65tS5h7BtOLml0Unmr7pm7Zi1sXfrgVbSXrtTjYqJBgVujVybwpm+39cfYszHOicksu4YSC/ZJhA3GU3ZDVvDVzsLXo+VununvBLrQI6EtmmynG7blSvqjBtO52tMvKw2cDIEX6CxkYFo28wUHR0oMISg6XsLqyiTCAwkvGrbtwmfes6+hQCj1DKKaXTPazra229txpce15cDhCSxHsq0vWg4qVrAcpjJmzZRe3VzHFJePWoO/NV1/1wqOjKeIhWoP/m7Y0lO3MC7nzF0XPngV7aXr9LiYbx06zwNPniNkaBQsd0nnUgMMXZCMGNw00kt/PMTxyQzzBXvVA6q10HI3z/QrmqLrNJnK2/REgghNMJWxlt1vMBEklbPKgycNEJogoAks16U3GuSd+4b44P5tfPrBVzg3nSFjOhQdSVDX0HBw8aJjl5ZNZEyH/Tv7Gg6EUm+qh2bdN9vZ1qp2fE3pOj3CpRgM33jhPFnTZigRAn/wFzI00gVrxWTrqo4pGmXZwZ+UcmYtC9IKDhye4PrNSX5wYrpqPjEd2LKhdqdxcTCUO/YOLrumT6FYK7pRj4u5/+BZYiEDR0oKRYdc0abgh/7UBRialy/zzVcPMBD3LAKv2+rlMwIoWDZHxueZzVm8ZXc/R8ZTdWtxLWZI1SzslUU3alJIyXSmSNDQqn/OpRyZAV0joEsQwkt1JATxcIAdAzE+8a5LbmhewvYQG3u08kAvlSuS8fMJpgsWIUNnx0CMu/dv469/eKZh9+iVOrhq4kXRjXqsDBI2lAhxsmBzfq7AVRsEsZCBabuEjJXTCSkUjVLL8td1vDyWYiJdZDAeYGJ+4axmyBAMJUIcHptfttNYLVrfI0cmuyIvj0LR6UykC2yMBzE0wTkzh0QQ0iWW61n8HEeStxyOT2SYz9vousZH3roDgC8dHOWJkzNsiAZ48+4+AobecM6stZghVbOwik5GCkE8rDNfsJe4dhqaP+jTvJywt+7uJxLUeXZ0lom0STIeYP/OPu5eFGX6us1JogF9QYL1G67qLecaW5xapR3u0WriRdGNVFrBB+JBXr0wT77ocGoqw5ZkBEfCjoHYiim9FIpGWVeDv3TBpmDZ2K4gbAhMW5YXgm/dECUW8r7ucu4l3ZyXR6HodIZ6wqT9Tl9Q17AdieWI8sSM0Lwky9PZIumCl/erpLvBRJi3X7txiRuX0qZCUT+a8AZaQUMnqQlSebvcRuqaIKgL3rCjD13TiIUMio7k3T+xuWZAFs/qlmPfcM8Cq9tyqYjaZaVTEy+KbqMUJGxyvsCpqRzDyTBT8wXmCw4XMyZv3tXPPbdfreq1ouWsq8FfMmJw8qKNQBAPGRQdCyFB12C+YGHoGj+5Nbmse4mK1qdQtI8P7R/h3m8fBcB1JeGAhq4JNsaDxMIBQoZGxnR4x74hUnlrQYJmpU2FYvW40ksEbTouRRt6owHPrVp6aUx+8qokVw/1lC1z9QRVatTqpqx0CoVHyQp+YjJLyND86Ljea6+f0F3pQtEO1tXgb99wklfH53Fcl6Lj5f5xAU1oOBJuGuldkOtrMSpan0LRPko5ve4/eJbxVJ6wrnPLjl5OT+fKa4XiYe+RtHhgp7SpUKyenrBBOqfTEwmUNXdmKsuGWID3/uQly1ujEyuNWt2UlU6huGQFn8kU2RD18lOatsv1W3rU5KairVRf9d2l3Hn9ELGgQU8kyM6BGFf1RQkZOpuSIXYOxMrJmZfzn77zes/ikMpbuFKW3yt/a4WiNdx1wxa+9tH9fOUjb+RNuwfY2BMhETJIF2xM22X3YAxYOrBT2lQoVs91m5PsGYoTCuhkTIdQQGeoJ0wyElywn5pYUSjaT8kK3hcPMpOzCAd0fmpbLwPxsNKgoq2sq8Hf3uEk99y+C4DpbJEN0SA3bU0S0nWSUW8tX60AESUhJiMBxlOFFfdXKBTNUam1ZDQAEvZsjNMfD1Ud2CltKhSr587rh9B1jX3DPdy+dyP7hnvYsiHCgK87NbGiUKwte4eTfOY9+7jhql72DvfQF6veBioUrWRduX2CZ1nYORhfsJ7gt2ssVl+MckdRKNaGSq0tTrFSbQ2Q0qZCsTqqrbf75J3XAKg1eArFZUKtg1WsNULKKgnxugQhxCQwuszHA8DUGhanFp1Slk4pB3RPWbZJKQfXsjDdTA1NdsvvvdZ0Slk6pRyg9NgyltFjt/zWa40qS3WUHltEl/RZO6UcoMpSjZbosasHf7UQQjwjpbz5cpcDOqcsnVIOUGW50uike6zK0rnlgM4qy3qkk+6vKkt1VFmuPDrlPndKOUCVpZ3lWFdr/hQKhUKhUCgUCoVCUR01+FMoFAqFQqFQKBSKK4D1PPi773IXoIJOKUunlANUWa40Oukeq7IspVPKAZ1VlvVIJ91fVZbqqLJceXTKfe6UcoAqSzVaUo51u+ZPoVAoFAqFQqFQKBSXWM+WP4VCoVAoFAqFQqFQ+KjBn0KhUCgUCoVCoVBcAXTl4E8IcacQ4qgQ4oQQ4lNVPhdCiD/1Pz8khLip3mNbXI5/51//kBDiCSHEjRWfnRFCvCSEeEEI8cxqylFnWW4TQqT8670ghPjdeo9tcTl+q6IMh4UQjhCiz/+s1ffkb4QQF4UQh5f5fE3qyXpH6bGpsqyJHussy5poUumxvXSKDhsoj9Kj0uO6p5N02SmaVHqsWo611aOUsqtegA6cBHYCQeBFYN+ifd4NfBsQwBuBp+o9tsXleBOwwX//06Vy+P+fAQbW8J7cBnyzmWNbWY5F+/8s8Gg77ol/vrcCNwGHl/m87fVkvb+UHpsuS9v12Mz52qlJpcf2vTpFhw2WR+lR6XFdvzpJl52iSaXHZc+9pnrsRsvfG4ATUspTUsoi8BXgvYv2eS/wt9LjSaBXCDFc57EtK4eU8gkp5az/75PAVU1ea9VladOxqz3XLwFfbvJaKyKlfByYqbHLWtST9Y7SYxNladOxrThf2zSp9NhWOkWHdZdH6VHp8Qqgk3TZKZpUeqzCWuuxGwd/W4BzFf+/5m+rZ596jm1lOSr5MN6ovYQEviOEeFYI8ZEmy9BoWfYLIV4UQnxbCHFdg8e2shwIIaLAncA/VGxu5T2ph7WoJ+sdpcfmy9JuPTZ0vg7QpNJj83SKDhspTyVKj4tQelwXdJIuO0WTSo/N0dJ6YrS0aGuDqLJtcb6K5fap59hWlsPbUYi34Qnp1orNb5ZSjgkhNgIPCyFe9Uf+7SrLc8A2KWVGCPFu4BvA1XUe28pylPhZ4EdSysqZjlbek3pYi3qy3lF6bK4sa6HHestS4nJrUumxeTpFh42Ux9tR6VHpcf3SSbrsFE0qPTZHS+tJN1r+XgO2Vvx/FTBW5z71HNvKciCEuAH4AvBeKeV0abuUcsz/exH4JzzTbbOsWBYpZVpKmfHf/ysQEEIM1Ps9WlWOCn6RRebzFt+TeliLerLeUXpsoixrpMe6ylLB5dak0mPzdIoOGymP0qPS43qnk3TZKZpUemyO1tYTucYLYFf7wrNWngJ2cGlx43WL9rmLhQsjf1zvsS0uxwhwAnjTou0xIFHx/gngzjbfk02A8N+/ATjr3581vSf+fkk83+ZYu+5JxXm3s/wC2rbXk/X+Unpsuixt12Mj93itNKn02J5Xp+iwwfIoPSo9rutXJ+myUzSp9FizPGumx8sujiZv0LuBY3gRbn7H3/Yx4GP+ewH8uf/5S8DNtY5tYzm+AMwCL/ivZ/ztO/0f6EXg5dWWo86y/Lp/rRfxFvK+qdax7SqH//+vAF9ZdFw77smXgXHAwpsd+fDlqCfr/aX02FRZ1kSP9ZTF/7/tmlR6bO+rU3TYQHmUHpUe1/2rk3TZKZpUeqxajjXVY2lkrVAoFAqFQqFQKBSKdUw3rvlTKBQKhUKhUCgUCkWDqMGfQqFQKBQKhUKhUFwBqMGfQqFQKBQKhUKhUFwBqMGfQqFQKBQKhUKhUFwBqMGfQqFQKBQKhUKhUFwBqMGfQqFQKBQKhUKhUFwBXNGDPyHErwghNjdx3BeFEO+rsv0LQoh9Kxx7RggxUGX77wkhPtFoWdYDQojbhBBvatV+qyzLdiHE/1zx/81CiD9t5zUVq6NRHfv16JvtLFMnsbhOr3a/FpTnPy36/4l2X1PRPurRnxDiN4UQ0TaW4WNCiF9u1/lXuHbVNr2B4+u6N+2+h/41fq6yDyOE+H0hxB3tvKai9TTbt/WPfY8Q4lMr7LNsG9psPRVCPCaEuLnK9n8VQvT679veVlwp7WVXDP6ER0vLKoTQ8RI3NiWQakgpf1VK+UqrztcqhBDG5S7DCtwG1DOoq3e/mqxwP7YDZUFLKZ+RUv7Gaq+p6B4dr0O2U1GnW7BfTfzfpBYLGjMpZVsndBQel1l/vwk01CFcXI9q1Ssp5V9KKf+2kfO3gjrqej3Ue28avofVWKHMPweUB39Syt+VUj6y2msqqtOJbaKU8kEp5b2rKEJL6mlFed4tpZzz369FW7GdK6G9XE1G+na+8G7sEeC/A88DnwaeBg4Bn/H3iQHfAl4EDgP/k7/9dv+Yl4C/AUL+9jPA7wI/BO4GMsBR4AUgskw57gVe8a/7WX/bF4H3+e//i/+/BjwG3Oxv/wvgGeDlUnkryvCHwI/9125/++8Bn/Df7wIOAM8CPwCurXGffhZ4yv++jwBDFee7D/gO8PfAIPAP/j18Gnizv98bgCf8458ArlnhN/kB8Jz/elPFZ5/07/eLwL01zvEbFffzK/45LwDn/d/hLdW+0zL7Vf1Oy1x38f2o+l2AJ4GUf42P4w04v+l/1gd8wy/7k8ANl1snnf6ic3R8J/Cqf8yfVvymVeu/Xzd+suL4HwE3AP/Gv84L/jGJZa4ngD/2v89LFd/pNuBx4J98HfwloPmfvRM46NfHrwPxiu/7GX/7S9R+HiwpX5U6XW/d1/3vUPq9PlrjurcB38PT1iv+tm/gPcNeBj7ib7sXcPxr/J2/LVPrnqlXd+sP75lf9M/zvTrqeuncv1jl/3/vl/9FvGd/1D/u97jUfj7GpTb2GPCWGvfnV4B/xmtvjwKfrvhsSf0t1Vfg9/HaqFv9Mg4AEf88/36Zay25z8vcmyV9h0bu4TLXXvE+4k2szgCn/d9yFwv7OlXrg3p1nyYrjlnSrvia+DP//S68duFpv86XntW34ens/8NrV/8O7/m9pJ5Wua7u16vSc/7jFbq9Ga8vfT/wXyvKOVDSXq3r+5+9mypt/TJluWLby8suhBUE4gJvxHvI3ed/WQ34JvBW4BeA/1FxTBIIA+eAPf62vwV+s6ISfbJi/8fwB2vLlKEPT0ClStXr//0i8D7gj4C/qvi8fD6gr6KiP4Y/UPDL8Dv++1/mUif097jUeH0XuNp/fwvwaI0ybqi4/q8C/3fF+Z7FF75fyW71348AR/z3PYDhv78D+Ica14oCYf/91cAz/vufxus4Ryu/+zLnGOPSA6t38Xev4ztV7lf1Oy1z3cX3Y7nvchsVDwsWDv4+j985AN4OvHC5ddLpLzpDx6VzXe1f+2sVv2nV+g98CPhv/vs9FfXjX7g0cRIvHVvlmr8APIyn/yHgLDDs16cCsNP/7GG8Z8kA3qAw5h//28DvVnzfe/z3/wH4Qo3vuqR8Vep0vXX/I8D/4b8P4XVIdyxz3duAbOXnXHoGRvAaqH7//8yiYzO17tnlrsPd/KID9FdxTKkDt1Jd/+Si4yr/7694/18rdPF7LBz8ldqMdwOP1CjXrwDjQH9FPV3chi+uvxL4wKIybsebqPzlGtdacp8X35tF163Wd1jxHta4//Xcxy/iD/Yq/69VH9SrqzW5pF1h4eDvm8Av+e8/xsLBVwq4yi/3QS71xRbU5yrX/Sng4Yr/eyvK/Ebgy/h95Cr1vub1K+7RDn+/L1N78HfFtped7vY5KqV8Ek8g78QbmT8HXIv3I7wE3CGE+EMhxFuklCngGuC0lPKYf4778cRU4qsNXD+N11H7ghDi54FcxWf/Ga/SflT6v8QiPiCEeM4v83VUuFLgVcjS3/2VBwkh4ngzcF8XQryAN7gcrlHGq4CHhBAvAb/lX6vEg1LKvP/+DuDP/HM+CPQIIRJ4D5WvCyEOA59bdPxiAsD/8K/19YrvdAfw/0opcwBSypka5zgE/J0Q4m7AbuI7VbLcd1qOyvux3Hepxa3AlwCklI8C/UKIZB3HXelcbh1f65/ruK/VByo+W67+fx34GSFEAPhf8DpB4FkA/0QI8Rt4+l+uDt8KfFlK6UgpJ4DvA6/3P/uxlPKUlNLh/2/vXGPtqKo4/vvLhyqCNQX1AyG0UkkxNBiqEIIfaETBR6x8gGJKEZto5GEtYjAKGKIhKAqENFUxamskQMIrQIC2JEKqtQ8eWlCDmrQhwVQjDYjaFoG7/LD2XOZO954z5/aUc5qzfl/OnZn9nrVmP9ba+/o34MN4p/d+YGOS588Bx9TSuyf9PokPHkp0KV9X2f8YcEEqzxZ8gPy+lry3mtmO2vVySdvwFdKje8SF9jYLps+w9a9JL1lvpl2/PkHSr5PsLqHcN3TVF/CB6K7UN9yDyyGU5fd13FpW5z68D2xzPc21c462sUNFrzbMMZ12rOglD0F/jIpO9tKTU/E+Anyxvc5WM3vezCZwy1Qufo7twHslrZR0Fj7OrrgF+IOZXdshnVz+84DttX7o9lLkxNj2l6O+F+y/6VfAdWZ2SzOApAX46t51ktbjk4AuafbEzF6TdDJuaj8PuBS3+ICbdhdImtWc7EiaA3wN+JCZvShpDb4iMZl04W/wVYyXzOwDHYu5ErjRzO6XdDq+AlpRr+tbgFNrk5+qrCtx8/zZkmbjqy8lLgP+AZyY0ttbJZOpR4lP4h+sTwNXS8p1Om11qpOtUwv19ijVpQ1l7nWt9zgzVD1OlN7Td8jIv5ntlvQIsAg4F3dHwcy+K+nBVNbNks4ws2cz6eZkpVQWS+EfMbPPFuK8kn5fp+W7nStfJlhX2Re+MryulF+DyXeS9PYMXD93S3qMqd/AUn7B4BkF/ZuSHe2y3ky7fr0G+IyZbZN0Ib6CnqOTviT20cce8rs3LdzU2Qh8XNJthcVgzOwvzXY2s2/Xw3QYO0wGpb0Nc0ynHev5BYNjVHSyHz0pxe0rfpLrE4EzgUvw/nVZevxbYKGkG8ys15gsl39fcjrO/eWoW/4q1gHLklUMSUdJerf8NKPdZnYr8APgJNzXd7akuSnuUnxGnOPfuI9vlpTfTDN7CN/EWp+QrcX9cR/MWJvegb/Yf0l6D+4WWWdx7XdT/YGZvQzskHROKoOSopSYie+DA1/9K7Een7xWdavqUo9/YUv8KuzOtNKyFDc3V2kvUzrhSdKsXOS0sfloM3sU3yP4TtzU3nwPpTo1w5Xq1IVSXdpkYgO+Slop6wvpfQXdGIoep7TmSDo2XdcHTG3y/1N8z8Dj1QKPpGPN7Bkz+x7u1jGvkOcGYLGkQyS9C1/w2JqenSxpTtKHxfjehM3AaVV9JR0q6biWOmUplC+nX11kfx1wUbJ+Iuk4SW/vWJSZwIupI5uHWyoqXq3SbNDWZsH+Myz9a4bZH1k/HNiZ5GdJxzi9+KikWZLehh94spF2+c3xLWAXvo8rS6GdYWrbtI0dBtWGUG7H0rvsRx6C7gxTJ7uwGXcvBDeAdKHXuPpIfJ/73bgH3Um1xz8DHsK9caZjnHoWtyrOTteLy0HHu78cdcsfAGa2XtLxwCZJ4JtZzwfmAt+XNAG8ClxkZnslfZ43hOdx/FCFHGuAH0vaQ96CdDhwn6S34rPsyxrlujNN/O6X9Ina/W2Sfodv3NyOdyZ1Zkjagk++cyt3S4AfSboKNznfgW/8zXFNquvfcEWdUwi3HFgl6Wn8vW/AfbivB34h6avArwpxK34I3J0mpo+SVi7MbG2aeD0h6X+48n4zE/8Q4Fa5q6SAm8zsJUkPAHdJWgR8uaVOzXClOnUhWxfcLfU1ufl9De6OUXENsDrlt5v2yXbQYFh6nNL6Ir5Q8wI+2TohPS7Kv5k9KellYHXt9gpJC/GVxj8BDxfKdC/uMrMNtyxcYWZ/Tx/2TfjC0XzS4S9mNiFfgb9d0oyUxlX4gRX9kCvfBFNluqvs34y70jwlf2H/xAfHXVgLfCnpyp9xPa74CfC0pKfMrD7wzLZZ96oHbQyxHwV/5w9L2mlmC/dD1q/GXaqew13jBjHA/Q3uzj8XuM3MnpC7eJXkt8QK4OeSrjezKzLP59No53S/2TalscOg2hDK7XgH7uK2HN/rB0x+Q7vKQ9CRIetkF1bgY7bL8QNoSq7KdabIaeb5Ufg4qjI+faP+0MxuTGPEX0rqa4HHzPZIuhhYm/r6XpOhse0vq0M1giAIghpp9fUx/BS0iQGleTp+MMWnBpFeEATTJ02gPmhml/YKGwTjhtyba4+ZmaTz8MNfFg27XG1IOszM/pMmYKuAv5rZTcMu16hxsLh9BkEQvGnI/2H0FvzUsYFM/IIgCILgIGIB8PtkkboYuHzI5enCF+SHrvwRd6fcZz9lEJa/SSTdy74uk1/vY/PmAUXSlcA5jdt3djwVqd+8zsT/T1KdHWZ2dh9prAJOa9y+2cxW58IPiuQW8ZXG7Y1mdsmBzDcYDd5sPZY0n3QCbI1XzOyUA5FfLd+hyPmw6hscHIxqPzqIPq2PvI7A/11Tk4+Y2a5B59fIeyTbPxgew5SJtL1pRuP2UjN75kDn3ShH9JcNYvIXBEEQBEEQBEEwBoTbZxAEQRAEQRAEwRgQk78gCIIgCIIgCIIxICZ/QRAEQRAEQRAEY0BM/oIgCIIgCIIgCMaA/wOEIKm5IIEPLwAAAABJRU5ErkJggg==\n", 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", 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" ] }, - "metadata": { - "needs_background": "light" - }, + "metadata": {}, "output_type": "display_data" } ], @@ -3403,7 +4134,7 @@ }, { "cell_type": "code", - "execution_count": 54, + "execution_count": 204, "metadata": {}, "outputs": [], "source": [ @@ -3415,19 +4146,17 @@ }, { "cell_type": "code", - "execution_count": 55, + "execution_count": 206, "metadata": {}, "outputs": [ { "data": { - "image/png": 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\n", + "image/png": 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", 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" ] }, - "metadata": { - "needs_background": "light" - }, + "metadata": {}, "output_type": "display_data" } ], @@ -3463,12 +4192,50 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "**A: 1** Your answer here" + "**A: 1** Your answer here\n", + "\n", + "**What numerical or categorical features were in the data? What does the resort level dataframe tell you & What features could you extract from the data?**\n", + "* Numerical Features\n", + " * Resort details included, but not limited to weekend ticket price, number of lifts, runs, and area\n", + " * State details included, but not limited to total number of resorts, skiable area, night skiing area,and total days open.\n", + "* Categorical Features\n", + " * State\n", + " * Region\n", + " * Quartile\n", + " * Range where state's average ticket price is\n", + "\n", + "\n", + "**Was there any pattern suggested of a relationship between state and ticket price? How does dimensionality reduction help visualise data better?**\n", + "* While I don't fully understand what PCA does, I do understand that it helps describe how important a certain component is in the data, negatively or positively. \n", + "* There isn't a pattern between state and ticket price.\n", + "* However, based on the PCA scores, it seems the numnber of resorts per 100K people in a state and resorts per 100 square kg in a state could be important details in the data.\n", + "* It was also noted that Vermont and New Hamphire might be anomolies compared to the rest of the states.\n", + "* **What did this lead us to decide regarding which features to use in subsequent modeling?**\n", + " * Not finding a relationship between state and ticket price means we should use all the state data in subsequent modelling. \n", + "\n", + "\n", + "**What aspects of the data (e.g. relationships between features) should you remain wary of when you come to perform feature selection for modeling?**\n", + "\n", + "* We need to understand what each feature means. Just using the data points in a vacuum can be problematic. For example, knowing that the days are shorter in certain states, may influece how much night skiing area is available. \n", + "\n", + "\n", + "**What correlations did you see in all features and their relationship with target variable**\n", + "* Using the heat map was a good tool to find relationships. The most notable correlation with ticket price was the resort's vertical drop.\n", + "* There were many other features that highly corrrlate with ticket price. These features could be used in our model. \n", + "\n", + "\n", + "\n", + "\n", + "**What insights did you gain**\n", + "* Combining State and Resort data is useful to determine if there are relationships between the State's features and ticket price.\n", + "* I would question if there are other data sets that could be useful in addition to state information. For example, perhaps the resort's distance from an airport, distance from other resorts, or other nearby attractions may be useful in seeing a relationship with ticket prices.\n", + "* I also learned to try adding various ratios and calculations to the data. For example scaling the data and calculating if there is a ratio between the total skiiable area of a resort compared to the total skiable area in a state.\n", + "* The biggest thing I learned was not to limit myself to the data that was given to me. \n" ] }, { "cell_type": "code", - "execution_count": 56, + "execution_count": 292, "metadata": {}, "outputs": [ { @@ -3614,91 +4381,91 @@ " \n", " \n", " Runs\n", - " 76\n", - " 36\n", - " 13\n", - " 55\n", - " 65\n", + " 76.0\n", + " 36.0\n", + " 13.0\n", + " 55.0\n", + " 65.0\n", " \n", " \n", " TerrainParks\n", - " 2\n", - " 1\n", - " 1\n", - " 4\n", - " 2\n", + " 2.0\n", + " 1.0\n", + " 1.0\n", + " 4.0\n", + " 2.0\n", " \n", " \n", " LongestRun_mi\n", - " 1\n", - " 2\n", - " 1\n", - " 2\n", + " 1.0\n", + " 2.0\n", + " 1.0\n", + " 2.0\n", " 1.2\n", " \n", " \n", " SkiableTerrain_ac\n", - " 1610\n", - " 640\n", - " 30\n", - " 777\n", - " 800\n", + " 1610.0\n", + " 640.0\n", + " 30.0\n", + " 777.0\n", + " 800.0\n", " \n", " \n", " Snow Making_ac\n", - " 113\n", - " 60\n", - " 30\n", - " 104\n", - " 80\n", + " 113.0\n", + " 60.0\n", + " 30.0\n", + " 104.0\n", + " 80.0\n", " \n", " \n", " daysOpenLastYear\n", - " 150\n", - " 45\n", - " 150\n", - " 122\n", - " 115\n", + " 150.0\n", + " 45.0\n", + " 150.0\n", + " 122.0\n", + " 115.0\n", " \n", " \n", " yearsOpen\n", - " 60\n", - " 44\n", - " 36\n", - " 81\n", - " 49\n", + " 60.0\n", + " 44.0\n", + " 36.0\n", + " 81.0\n", + " 49.0\n", " \n", " \n", " averageSnowfall\n", - " 669\n", - " 350\n", - " 69\n", - " 260\n", - " 250\n", + " 669.0\n", + " 350.0\n", + " 69.0\n", + " 260.0\n", + " 250.0\n", " \n", " \n", " AdultWeekend\n", - " 85\n", - " 53\n", - " 34\n", - " 89\n", - " 78\n", + " 85.0\n", + " 53.0\n", + " 34.0\n", + " 89.0\n", + " 78.0\n", " \n", " \n", " projectedDaysOpen\n", - " 150\n", - " 90\n", - " 152\n", - " 122\n", - " 104\n", + " 150.0\n", + " 90.0\n", + " 152.0\n", + " 122.0\n", + " 104.0\n", " \n", " \n", " NightSkiing_ac\n", - " 550\n", + " 550.0\n", " NaN\n", - " 30\n", + " 30.0\n", " NaN\n", - " 80\n", + " 80.0\n", " \n", " \n", " resorts_per_state\n", @@ -3713,8 +4480,8 @@ " 0.410091\n", " 0.410091\n", " 0.410091\n", - " 0.0274774\n", - " 0.0274774\n", + " 0.027477\n", + " 0.027477\n", " \n", " \n", " resorts_per_100ksq_mile\n", @@ -3728,7 +4495,7 @@ " resort_skiable_area_ac_state_ratio\n", " 0.70614\n", " 0.280702\n", - " 0.0131579\n", + " 0.013158\n", " 0.492708\n", " 0.507292\n", " \n", @@ -3752,13 +4519,13 @@ " resort_night_skiing_state_ratio\n", " 0.948276\n", " NaN\n", - " 0.0517241\n", + " 0.051724\n", " NaN\n", - " 1\n", + " 1.0\n", " \n", " \n", " total_chairs_runs_ratio\n", - " 0.0921053\n", + " 0.092105\n", " 0.111111\n", " 0.230769\n", " 0.145455\n", @@ -3766,7 +4533,7 @@ " \n", " \n", " total_chairs_skiable_ratio\n", - " 0.00434783\n", + " 0.004348\n", " 0.00625\n", " 0.1\n", " 0.010296\n", @@ -3774,18 +4541,18 @@ " \n", " \n", " fastQuads_runs_ratio\n", - " 0.0263158\n", - " 0\n", - " 0\n", - " 0\n", - " 0.0153846\n", + " 0.026316\n", + " 0.0\n", + " 0.0\n", + " 0.0\n", + " 0.015385\n", " \n", " \n", " fastQuads_skiable_ratio\n", - " 0.00124224\n", - " 0\n", - " 0\n", - " 0\n", + " 0.001242\n", + " 0.0\n", + " 0.0\n", + " 0.0\n", " 0.00125\n", " \n", " \n", @@ -3808,17 +4575,17 @@ "double 0 4 \n", "surface 2 0 \n", "total_chairs 7 4 \n", - "Runs 76 36 \n", - "TerrainParks 2 1 \n", - "LongestRun_mi 1 2 \n", - "SkiableTerrain_ac 1610 640 \n", - "Snow Making_ac 113 60 \n", - "daysOpenLastYear 150 45 \n", - "yearsOpen 60 44 \n", - "averageSnowfall 669 350 \n", - "AdultWeekend 85 53 \n", - "projectedDaysOpen 150 90 \n", - "NightSkiing_ac 550 NaN \n", + "Runs 76.0 36.0 \n", + "TerrainParks 2.0 1.0 \n", + "LongestRun_mi 1.0 2.0 \n", + "SkiableTerrain_ac 1610.0 640.0 \n", + "Snow Making_ac 113.0 60.0 \n", + "daysOpenLastYear 150.0 45.0 \n", + "yearsOpen 60.0 44.0 \n", + "averageSnowfall 669.0 350.0 \n", + "AdultWeekend 85.0 53.0 \n", + "projectedDaysOpen 150.0 90.0 \n", + "NightSkiing_ac 550.0 NaN \n", "resorts_per_state 3 3 \n", "resorts_per_100kcapita 0.410091 0.410091 \n", "resorts_per_100ksq_mile 0.450867 0.450867 \n", @@ -3826,10 +4593,10 @@ "resort_days_open_state_ratio 0.434783 0.130435 \n", "resort_terrain_park_state_ratio 0.5 0.25 \n", "resort_night_skiing_state_ratio 0.948276 NaN \n", - "total_chairs_runs_ratio 0.0921053 0.111111 \n", - "total_chairs_skiable_ratio 0.00434783 0.00625 \n", - "fastQuads_runs_ratio 0.0263158 0 \n", - "fastQuads_skiable_ratio 0.00124224 0 \n", + "total_chairs_runs_ratio 0.092105 0.111111 \n", + "total_chairs_skiable_ratio 0.004348 0.00625 \n", + "fastQuads_runs_ratio 0.026316 0.0 \n", + "fastQuads_skiable_ratio 0.001242 0.0 \n", "\n", " 2 3 \\\n", "Name Hilltop Ski Area Arizona Snowbowl \n", @@ -3846,28 +4613,28 @@ "double 0 1 \n", "surface 2 2 \n", "total_chairs 3 8 \n", - "Runs 13 55 \n", - "TerrainParks 1 4 \n", - "LongestRun_mi 1 2 \n", - "SkiableTerrain_ac 30 777 \n", - "Snow Making_ac 30 104 \n", - "daysOpenLastYear 150 122 \n", - "yearsOpen 36 81 \n", - "averageSnowfall 69 260 \n", - "AdultWeekend 34 89 \n", - "projectedDaysOpen 152 122 \n", - "NightSkiing_ac 30 NaN \n", + "Runs 13.0 55.0 \n", + "TerrainParks 1.0 4.0 \n", + "LongestRun_mi 1.0 2.0 \n", + "SkiableTerrain_ac 30.0 777.0 \n", + "Snow Making_ac 30.0 104.0 \n", + "daysOpenLastYear 150.0 122.0 \n", + "yearsOpen 36.0 81.0 \n", + "averageSnowfall 69.0 260.0 \n", + "AdultWeekend 34.0 89.0 \n", + "projectedDaysOpen 152.0 122.0 \n", + "NightSkiing_ac 30.0 NaN \n", "resorts_per_state 3 2 \n", - "resorts_per_100kcapita 0.410091 0.0274774 \n", + "resorts_per_100kcapita 0.410091 0.027477 \n", "resorts_per_100ksq_mile 0.450867 1.75454 \n", - "resort_skiable_area_ac_state_ratio 0.0131579 0.492708 \n", + "resort_skiable_area_ac_state_ratio 0.013158 0.492708 \n", "resort_days_open_state_ratio 0.434783 0.514768 \n", "resort_terrain_park_state_ratio 0.25 0.666667 \n", - "resort_night_skiing_state_ratio 0.0517241 NaN \n", + "resort_night_skiing_state_ratio 0.051724 NaN \n", "total_chairs_runs_ratio 0.230769 0.145455 \n", "total_chairs_skiable_ratio 0.1 0.010296 \n", - "fastQuads_runs_ratio 0 0 \n", - "fastQuads_skiable_ratio 0 0 \n", + "fastQuads_runs_ratio 0.0 0.0 \n", + "fastQuads_skiable_ratio 0.0 0.0 \n", "\n", " 4 \n", "Name Sunrise Park Resort \n", @@ -3884,31 +4651,31 @@ "double 1 \n", "surface 0 \n", "total_chairs 7 \n", - "Runs 65 \n", - "TerrainParks 2 \n", + "Runs 65.0 \n", + "TerrainParks 2.0 \n", "LongestRun_mi 1.2 \n", - "SkiableTerrain_ac 800 \n", - "Snow Making_ac 80 \n", - "daysOpenLastYear 115 \n", - "yearsOpen 49 \n", - "averageSnowfall 250 \n", - "AdultWeekend 78 \n", - "projectedDaysOpen 104 \n", - "NightSkiing_ac 80 \n", + "SkiableTerrain_ac 800.0 \n", + "Snow Making_ac 80.0 \n", + "daysOpenLastYear 115.0 \n", + "yearsOpen 49.0 \n", + "averageSnowfall 250.0 \n", + "AdultWeekend 78.0 \n", + "projectedDaysOpen 104.0 \n", + "NightSkiing_ac 80.0 \n", "resorts_per_state 2 \n", - "resorts_per_100kcapita 0.0274774 \n", + "resorts_per_100kcapita 0.027477 \n", "resorts_per_100ksq_mile 1.75454 \n", "resort_skiable_area_ac_state_ratio 0.507292 \n", "resort_days_open_state_ratio 0.485232 \n", "resort_terrain_park_state_ratio 0.333333 \n", - "resort_night_skiing_state_ratio 1 \n", + "resort_night_skiing_state_ratio 1.0 \n", "total_chairs_runs_ratio 0.107692 \n", "total_chairs_skiable_ratio 0.00875 \n", - "fastQuads_runs_ratio 0.0153846 \n", + "fastQuads_runs_ratio 0.015385 \n", "fastQuads_skiable_ratio 0.00125 " ] }, - "execution_count": 56, + "execution_count": 292, "metadata": {}, "output_type": "execute_result" } @@ -3919,22 +4686,37 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 294, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Writing file. \"../data\\ski_data_step3_features.csv\"\n" + ] + } + ], "source": [ "# Save the data \n", "\n", "datapath = '../data'\n", "save_file(ski_data, 'ski_data_step3_features.csv', datapath)" ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] } ], "metadata": { "kernelspec": { - "display_name": "Python 3", + "display_name": "Python [conda env:base] *", "language": "python", - "name": "python3" + "name": "conda-base-py" }, "language_info": { "codemirror_mode": { @@ -3946,7 +4728,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.7.9" + "version": "3.12.7" }, "toc": { "base_numbering": 1, diff --git a/Notebooks/04_preprocessing_and_training.ipynb b/Notebooks/04_preprocessing_and_training.ipynb index 94ff2aeba..f6e13baa1 100644 --- a/Notebooks/04_preprocessing_and_training.ipynb +++ b/Notebooks/04_preprocessing_and_training.ipynb @@ -4,6 +4,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ + "\n", "# 4 Pre-Processing and Training Data" ] }, @@ -11,7 +12,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "## 4.1 Contents\n", + "4.1 Contents\n", "* [4 Pre-Processing and Training Data](#4_Pre-Processing_and_Training_Data)\n", " * [4.1 Contents](#4.1_Contents)\n", " * [4.2 Introduction](#4.2_Introduction)\n", @@ -76,6 +77,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ + "\n", "## 4.2 Introduction" ] }, @@ -92,12 +94,13 @@ "cell_type": "markdown", "metadata": {}, "source": [ + "\n", "## 4.3 Imports" ] }, { "cell_type": "code", - "execution_count": 1, + "execution_count": 6, "metadata": {}, "outputs": [], "source": [ @@ -121,7 +124,7 @@ "from sklearn.feature_selection import SelectKBest, f_regression\n", "import datetime\n", "\n", - "from library.sb_utils import save_file" + "from sb_utils import save_file" ] }, { @@ -133,7 +136,7 @@ }, { "cell_type": "code", - "execution_count": 2, + "execution_count": 8, "metadata": { "scrolled": true }, @@ -281,91 +284,91 @@ " \n", " \n", " Runs\n", - " 76\n", - " 36\n", - " 13\n", - " 55\n", - " 65\n", + " 76.0\n", + " 36.0\n", + " 13.0\n", + " 55.0\n", + " 65.0\n", " \n", " \n", " TerrainParks\n", - " 2\n", - " 1\n", - " 1\n", - " 4\n", - " 2\n", + " 2.0\n", + " 1.0\n", + " 1.0\n", + " 4.0\n", + " 2.0\n", " \n", " \n", " LongestRun_mi\n", - " 1\n", - " 2\n", - " 1\n", - " 2\n", + " 1.0\n", + " 2.0\n", + " 1.0\n", + " 2.0\n", " 1.2\n", " \n", " \n", " SkiableTerrain_ac\n", - " 1610\n", - " 640\n", - " 30\n", - " 777\n", - " 800\n", + " 1610.0\n", + " 640.0\n", + " 30.0\n", + " 777.0\n", + " 800.0\n", " \n", " \n", " Snow Making_ac\n", - " 113\n", - " 60\n", - " 30\n", - " 104\n", - " 80\n", + " 113.0\n", + " 60.0\n", + " 30.0\n", + " 104.0\n", + " 80.0\n", " \n", " \n", " daysOpenLastYear\n", - " 150\n", - " 45\n", - " 150\n", - " 122\n", - " 115\n", + " 150.0\n", + " 45.0\n", + " 150.0\n", + " 122.0\n", + " 115.0\n", " \n", " \n", " yearsOpen\n", - " 60\n", - " 44\n", - " 36\n", - " 81\n", - " 49\n", + " 60.0\n", + " 44.0\n", + " 36.0\n", + " 81.0\n", + " 49.0\n", " \n", " \n", " averageSnowfall\n", - " 669\n", - " 350\n", - " 69\n", - " 260\n", - " 250\n", + " 669.0\n", + " 350.0\n", + " 69.0\n", + " 260.0\n", + " 250.0\n", " \n", " \n", " AdultWeekend\n", - " 85\n", - " 53\n", - " 34\n", - " 89\n", - " 78\n", + " 85.0\n", + " 53.0\n", + " 34.0\n", + " 89.0\n", + " 78.0\n", " \n", " \n", " projectedDaysOpen\n", - " 150\n", - " 90\n", - " 152\n", - " 122\n", - " 104\n", + " 150.0\n", + " 90.0\n", + " 152.0\n", + " 122.0\n", + " 104.0\n", " \n", " \n", " NightSkiing_ac\n", - " 550\n", + " 550.0\n", " NaN\n", - " 30\n", + " 30.0\n", " NaN\n", - " 80\n", + " 80.0\n", " \n", " \n", " resorts_per_state\n", @@ -380,8 +383,8 @@ " 0.410091\n", " 0.410091\n", " 0.410091\n", - " 0.0274774\n", - " 0.0274774\n", + " 0.027477\n", + " 0.027477\n", " \n", " \n", " resorts_per_100ksq_mile\n", @@ -395,7 +398,7 @@ " resort_skiable_area_ac_state_ratio\n", " 0.70614\n", " 0.280702\n", - " 0.0131579\n", + " 0.013158\n", " 0.492708\n", " 0.507292\n", " \n", @@ -419,13 +422,13 @@ " resort_night_skiing_state_ratio\n", " 0.948276\n", " NaN\n", - " 0.0517241\n", + " 0.051724\n", " NaN\n", - " 1\n", + " 1.0\n", " \n", " \n", " total_chairs_runs_ratio\n", - " 0.0921053\n", + " 0.092105\n", " 0.111111\n", " 0.230769\n", " 0.145455\n", @@ -433,7 +436,7 @@ " \n", " \n", " total_chairs_skiable_ratio\n", - " 0.00434783\n", + " 0.004348\n", " 0.00625\n", " 0.1\n", " 0.010296\n", @@ -441,18 +444,18 @@ " \n", " \n", " fastQuads_runs_ratio\n", - " 0.0263158\n", - " 0\n", - " 0\n", - " 0\n", - " 0.0153846\n", + " 0.026316\n", + " 0.0\n", + " 0.0\n", + " 0.0\n", + " 0.015385\n", " \n", " \n", " fastQuads_skiable_ratio\n", - " 0.00124224\n", - " 0\n", - " 0\n", - " 0\n", + " 0.001242\n", + " 0.0\n", + " 0.0\n", + " 0.0\n", " 0.00125\n", " \n", " \n", @@ -475,17 +478,17 @@ "double 0 4 \n", "surface 2 0 \n", "total_chairs 7 4 \n", - "Runs 76 36 \n", - "TerrainParks 2 1 \n", - "LongestRun_mi 1 2 \n", - "SkiableTerrain_ac 1610 640 \n", - "Snow Making_ac 113 60 \n", - "daysOpenLastYear 150 45 \n", - "yearsOpen 60 44 \n", - "averageSnowfall 669 350 \n", - "AdultWeekend 85 53 \n", - "projectedDaysOpen 150 90 \n", - "NightSkiing_ac 550 NaN \n", + "Runs 76.0 36.0 \n", + "TerrainParks 2.0 1.0 \n", + "LongestRun_mi 1.0 2.0 \n", + "SkiableTerrain_ac 1610.0 640.0 \n", + "Snow Making_ac 113.0 60.0 \n", + "daysOpenLastYear 150.0 45.0 \n", + "yearsOpen 60.0 44.0 \n", + "averageSnowfall 669.0 350.0 \n", + "AdultWeekend 85.0 53.0 \n", + "projectedDaysOpen 150.0 90.0 \n", + "NightSkiing_ac 550.0 NaN \n", "resorts_per_state 3 3 \n", "resorts_per_100kcapita 0.410091 0.410091 \n", "resorts_per_100ksq_mile 0.450867 0.450867 \n", @@ -493,10 +496,10 @@ "resort_days_open_state_ratio 0.434783 0.130435 \n", "resort_terrain_park_state_ratio 0.5 0.25 \n", "resort_night_skiing_state_ratio 0.948276 NaN \n", - "total_chairs_runs_ratio 0.0921053 0.111111 \n", - "total_chairs_skiable_ratio 0.00434783 0.00625 \n", - "fastQuads_runs_ratio 0.0263158 0 \n", - "fastQuads_skiable_ratio 0.00124224 0 \n", + "total_chairs_runs_ratio 0.092105 0.111111 \n", + "total_chairs_skiable_ratio 0.004348 0.00625 \n", + "fastQuads_runs_ratio 0.026316 0.0 \n", + "fastQuads_skiable_ratio 0.001242 0.0 \n", "\n", " 2 3 \\\n", "Name Hilltop Ski Area Arizona Snowbowl \n", @@ -513,28 +516,28 @@ "double 0 1 \n", "surface 2 2 \n", "total_chairs 3 8 \n", - "Runs 13 55 \n", - "TerrainParks 1 4 \n", - "LongestRun_mi 1 2 \n", - "SkiableTerrain_ac 30 777 \n", - "Snow Making_ac 30 104 \n", - "daysOpenLastYear 150 122 \n", - "yearsOpen 36 81 \n", - "averageSnowfall 69 260 \n", - "AdultWeekend 34 89 \n", - "projectedDaysOpen 152 122 \n", - "NightSkiing_ac 30 NaN \n", + "Runs 13.0 55.0 \n", + "TerrainParks 1.0 4.0 \n", + "LongestRun_mi 1.0 2.0 \n", + "SkiableTerrain_ac 30.0 777.0 \n", + "Snow Making_ac 30.0 104.0 \n", + "daysOpenLastYear 150.0 122.0 \n", + "yearsOpen 36.0 81.0 \n", + "averageSnowfall 69.0 260.0 \n", + "AdultWeekend 34.0 89.0 \n", + "projectedDaysOpen 152.0 122.0 \n", + "NightSkiing_ac 30.0 NaN \n", "resorts_per_state 3 2 \n", - "resorts_per_100kcapita 0.410091 0.0274774 \n", + "resorts_per_100kcapita 0.410091 0.027477 \n", "resorts_per_100ksq_mile 0.450867 1.75454 \n", - "resort_skiable_area_ac_state_ratio 0.0131579 0.492708 \n", + "resort_skiable_area_ac_state_ratio 0.013158 0.492708 \n", "resort_days_open_state_ratio 0.434783 0.514768 \n", "resort_terrain_park_state_ratio 0.25 0.666667 \n", - "resort_night_skiing_state_ratio 0.0517241 NaN \n", + "resort_night_skiing_state_ratio 0.051724 NaN \n", "total_chairs_runs_ratio 0.230769 0.145455 \n", "total_chairs_skiable_ratio 0.1 0.010296 \n", - "fastQuads_runs_ratio 0 0 \n", - "fastQuads_skiable_ratio 0 0 \n", + "fastQuads_runs_ratio 0.0 0.0 \n", + "fastQuads_skiable_ratio 0.0 0.0 \n", "\n", " 4 \n", "Name Sunrise Park Resort \n", @@ -551,31 +554,31 @@ "double 1 \n", "surface 0 \n", "total_chairs 7 \n", - "Runs 65 \n", - "TerrainParks 2 \n", + "Runs 65.0 \n", + "TerrainParks 2.0 \n", "LongestRun_mi 1.2 \n", - "SkiableTerrain_ac 800 \n", - "Snow Making_ac 80 \n", - "daysOpenLastYear 115 \n", - "yearsOpen 49 \n", - "averageSnowfall 250 \n", - "AdultWeekend 78 \n", - "projectedDaysOpen 104 \n", - "NightSkiing_ac 80 \n", + "SkiableTerrain_ac 800.0 \n", + "Snow Making_ac 80.0 \n", + "daysOpenLastYear 115.0 \n", + "yearsOpen 49.0 \n", + "averageSnowfall 250.0 \n", + "AdultWeekend 78.0 \n", + "projectedDaysOpen 104.0 \n", + "NightSkiing_ac 80.0 \n", "resorts_per_state 2 \n", - "resorts_per_100kcapita 0.0274774 \n", + "resorts_per_100kcapita 0.027477 \n", "resorts_per_100ksq_mile 1.75454 \n", "resort_skiable_area_ac_state_ratio 0.507292 \n", "resort_days_open_state_ratio 0.485232 \n", "resort_terrain_park_state_ratio 0.333333 \n", - "resort_night_skiing_state_ratio 1 \n", + "resort_night_skiing_state_ratio 1.0 \n", "total_chairs_runs_ratio 0.107692 \n", "total_chairs_skiable_ratio 0.00875 \n", - "fastQuads_runs_ratio 0.0153846 \n", + "fastQuads_runs_ratio 0.015385 \n", "fastQuads_skiable_ratio 0.00125 " ] }, - "execution_count": 2, + "execution_count": 8, "metadata": {}, "output_type": "execute_result" } @@ -601,7 +604,7 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 11, "metadata": {}, "outputs": [], "source": [ @@ -610,7 +613,7 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 12, "metadata": {}, "outputs": [ { @@ -696,11 +699,11 @@ " \n", " \n", " Runs\n", - " 105\n", + " 105.0\n", " \n", " \n", " TerrainParks\n", - " 4\n", + " 4.0\n", " \n", " \n", " LongestRun_mi\n", @@ -708,35 +711,35 @@ " \n", " \n", " SkiableTerrain_ac\n", - " 3000\n", + " 3000.0\n", " \n", " \n", " Snow Making_ac\n", - " 600\n", + " 600.0\n", " \n", " \n", " daysOpenLastYear\n", - " 123\n", + " 123.0\n", " \n", " \n", " yearsOpen\n", - " 72\n", + " 72.0\n", " \n", " \n", " averageSnowfall\n", - " 333\n", + " 333.0\n", " \n", " \n", " AdultWeekend\n", - " 81\n", + " 81.0\n", " \n", " \n", " projectedDaysOpen\n", - " 123\n", + " 123.0\n", " \n", " \n", " NightSkiing_ac\n", - " 600\n", + " 600.0\n", " \n", " \n", " resorts_per_state\n", @@ -744,11 +747,11 @@ " \n", " \n", " resorts_per_100kcapita\n", - " 1.12278\n", + " 1.122778\n", " \n", " \n", " resorts_per_100ksq_mile\n", - " 8.16104\n", + " 8.161045\n", " \n", " \n", " resort_skiable_area_ac_state_ratio\n", @@ -772,11 +775,11 @@ " \n", " \n", " total_chairs_skiable_ratio\n", - " 0.00466667\n", + " 0.004667\n", " \n", " \n", " fastQuads_runs_ratio\n", - " 0.0285714\n", + " 0.028571\n", " \n", " \n", " fastQuads_skiable_ratio\n", @@ -802,31 +805,31 @@ "double 0\n", "surface 3\n", "total_chairs 14\n", - "Runs 105\n", - "TerrainParks 4\n", + "Runs 105.0\n", + "TerrainParks 4.0\n", "LongestRun_mi 3.3\n", - "SkiableTerrain_ac 3000\n", - "Snow Making_ac 600\n", - "daysOpenLastYear 123\n", - "yearsOpen 72\n", - "averageSnowfall 333\n", - "AdultWeekend 81\n", - "projectedDaysOpen 123\n", - "NightSkiing_ac 600\n", + "SkiableTerrain_ac 3000.0\n", + "Snow Making_ac 600.0\n", + "daysOpenLastYear 123.0\n", + "yearsOpen 72.0\n", + "averageSnowfall 333.0\n", + "AdultWeekend 81.0\n", + "projectedDaysOpen 123.0\n", + "NightSkiing_ac 600.0\n", "resorts_per_state 12\n", - "resorts_per_100kcapita 1.12278\n", - "resorts_per_100ksq_mile 8.16104\n", + "resorts_per_100kcapita 1.122778\n", + "resorts_per_100ksq_mile 8.161045\n", "resort_skiable_area_ac_state_ratio 0.140121\n", "resort_days_open_state_ratio 0.129338\n", "resort_terrain_park_state_ratio 0.148148\n", "resort_night_skiing_state_ratio 0.84507\n", "total_chairs_runs_ratio 0.133333\n", - "total_chairs_skiable_ratio 0.00466667\n", - "fastQuads_runs_ratio 0.0285714\n", + "total_chairs_skiable_ratio 0.004667\n", + "fastQuads_runs_ratio 0.028571\n", "fastQuads_skiable_ratio 0.001" ] }, - "execution_count": 4, + "execution_count": 12, "metadata": {}, "output_type": "execute_result" } @@ -837,7 +840,7 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 13, "metadata": {}, "outputs": [ { @@ -846,7 +849,7 @@ "(277, 36)" ] }, - "execution_count": 5, + "execution_count": 13, "metadata": {}, "output_type": "execute_result" } @@ -857,31 +860,43 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 14, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "(276, 36)" + ] + }, + "execution_count": 14, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ - "ski_data = ski_data[ski_data.Name != 'Big Mountain Resort']" + "ski_data = ski_data[ski_data.Name != 'Big Mountain Resort']\n", + "ski_data.shape" ] }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 15, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "(276, 36)" + "(1, 36)" ] }, - "execution_count": 7, + "execution_count": 15, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "ski_data.shape" + "big_mountain.shape" ] }, { @@ -907,7 +922,7 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": 19, "metadata": {}, "outputs": [ { @@ -916,7 +931,7 @@ "(193.2, 82.8)" ] }, - "execution_count": 8, + "execution_count": 19, "metadata": {}, "output_type": "execute_result" } @@ -927,7 +942,7 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 20, "metadata": {}, "outputs": [], "source": [ @@ -938,7 +953,7 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 21, "metadata": {}, "outputs": [ { @@ -947,7 +962,7 @@ "((193, 35), (83, 35))" ] }, - "execution_count": 10, + "execution_count": 21, "metadata": {}, "output_type": "execute_result" } @@ -958,7 +973,7 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 22, "metadata": {}, "outputs": [ { @@ -967,7 +982,7 @@ "((193,), (83,))" ] }, - "execution_count": 11, + "execution_count": 22, "metadata": {}, "output_type": "execute_result" } @@ -978,41 +993,138 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 23, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "((193, 32), (83, 32))" + ] + }, + "execution_count": 23, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "#Code task 1#\n", "#Save the 'Name', 'state', and 'Region' columns from the train/test data into names_train and names_test\n", "#Then drop those columns from `X_train` and `X_test`. Use 'inplace=True'\n", "names_list = ['Name', 'state', 'Region']\n", - "names_train = X_train[___]\n", - "names_test = X_test[___]\n", - "X_train.___(columns=names_list, inplace=___)\n", - "X_test.___(columns=names_list, inplace=___)\n", + "names_train = X_train['Name']\n", + "names_test = X_test['Name']\n", + "X_train.drop(columns=names_list, inplace=True)\n", + "X_test.drop(columns=names_list, inplace=True)\n", "X_train.shape, X_test.shape" ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 24, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "summit_elev int64\n", + "vertical_drop int64\n", + "base_elev int64\n", + "trams int64\n", + "fastSixes int64\n", + "fastQuads int64\n", + "quad int64\n", + "triple int64\n", + "double int64\n", + "surface int64\n", + "total_chairs int64\n", + "Runs float64\n", + "TerrainParks float64\n", + "LongestRun_mi float64\n", + "SkiableTerrain_ac float64\n", + "Snow Making_ac float64\n", + "daysOpenLastYear float64\n", + "yearsOpen float64\n", + "averageSnowfall float64\n", + "projectedDaysOpen float64\n", + "NightSkiing_ac float64\n", + "resorts_per_state int64\n", + "resorts_per_100kcapita float64\n", + "resorts_per_100ksq_mile float64\n", + "resort_skiable_area_ac_state_ratio float64\n", + "resort_days_open_state_ratio float64\n", + "resort_terrain_park_state_ratio float64\n", + "resort_night_skiing_state_ratio float64\n", + "total_chairs_runs_ratio float64\n", + "total_chairs_skiable_ratio float64\n", + "fastQuads_runs_ratio float64\n", + "fastQuads_skiable_ratio float64\n", + "dtype: object" + ] + }, + "execution_count": 24, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "#Code task 2#\n", "#Check the `dtypes` attribute of `X_train` to verify all features are numeric\n", - "X_train.___" + "X_train.dtypes" ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 25, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "summit_elev int64\n", + "vertical_drop int64\n", + "base_elev int64\n", + "trams int64\n", + "fastSixes int64\n", + "fastQuads int64\n", + "quad int64\n", + "triple int64\n", + "double int64\n", + "surface int64\n", + "total_chairs int64\n", + "Runs float64\n", + "TerrainParks float64\n", + "LongestRun_mi float64\n", + "SkiableTerrain_ac float64\n", + "Snow Making_ac float64\n", + "daysOpenLastYear float64\n", + "yearsOpen float64\n", + "averageSnowfall float64\n", + "projectedDaysOpen float64\n", + "NightSkiing_ac float64\n", + "resorts_per_state int64\n", + "resorts_per_100kcapita float64\n", + "resorts_per_100ksq_mile float64\n", + "resort_skiable_area_ac_state_ratio float64\n", + "resort_days_open_state_ratio float64\n", + "resort_terrain_park_state_ratio float64\n", + "resort_night_skiing_state_ratio float64\n", + "total_chairs_runs_ratio float64\n", + "total_chairs_skiable_ratio float64\n", + "fastQuads_runs_ratio float64\n", + "fastQuads_skiable_ratio float64\n", + "dtype: object" + ] + }, + "execution_count": 25, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "#Code task 3#\n", "#Repeat this check for the test split in `X_test`\n", - "X_test.___" + "X_test.dtypes" ] }, { @@ -1038,13 +1150,24 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 29, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "63.811088082901556" + ] + }, + "execution_count": 29, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "#Code task 4#\n", "#Calculate the mean of `y_train`\n", - "train_mean = y_train.___\n", + "train_mean = y_train.mean()\n", "train_mean" ] }, @@ -1057,17 +1180,28 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 31, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "array([[63.81108808]])" + ] + }, + "execution_count": 31, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "#Code task 5#\n", "#Fit the dummy regressor on the training data\n", "#Hint, call its `.fit()` method with `X_train` and `y_train` as arguments\n", "#Then print the object's `constant_` attribute and verify it's the same as the mean above\n", "dumb_reg = DummyRegressor(strategy='mean')\n", - "dumb_reg.___(___, ___)\n", - "dumb_reg.___" + "dumb_reg.fit(X_train, y_train)\n", + "dumb_reg.constant_" ] }, { @@ -1124,7 +1258,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 36, "metadata": {}, "outputs": [], "source": [ @@ -1140,9 +1274,9 @@ " ypred -- the predicted values\n", " \"\"\"\n", " ybar = np.sum(y) / len(y) #yes, we could use np.mean(y)\n", - " sum_sq_tot = np.___((y - ybar)**2) #total sum of squares error\n", - " sum_sq_res = np.___((y - ypred)**2) #residual sum of squares error\n", - " R2 = 1.0 - ___ / ___\n", + " sum_sq_tot = np.sum((y - ybar)**2) #total sum of squares error\n", + " sum_sq_res = np.sum((y - ypred)**2) #residual sum of squares error\n", + " R2 = 1.0 - sum_sq_res / sum_sq_tot\n", " return R2" ] }, @@ -1155,7 +1289,7 @@ }, { "cell_type": "code", - "execution_count": 18, + "execution_count": 38, "metadata": {}, "outputs": [ { @@ -1164,7 +1298,7 @@ "array([63.81108808, 63.81108808, 63.81108808, 63.81108808, 63.81108808])" ] }, - "execution_count": 18, + "execution_count": 38, "metadata": {}, "output_type": "execute_result" } @@ -1183,7 +1317,7 @@ }, { "cell_type": "code", - "execution_count": 19, + "execution_count": 40, "metadata": {}, "outputs": [ { @@ -1192,7 +1326,7 @@ "array([63.81108808, 63.81108808, 63.81108808, 63.81108808, 63.81108808])" ] }, - "execution_count": 19, + "execution_count": 40, "metadata": {}, "output_type": "execute_result" } @@ -1211,7 +1345,7 @@ }, { "cell_type": "code", - "execution_count": 20, + "execution_count": 42, "metadata": {}, "outputs": [ { @@ -1220,7 +1354,7 @@ "0.0" ] }, - "execution_count": 20, + "execution_count": 42, "metadata": {}, "output_type": "execute_result" } @@ -1245,7 +1379,7 @@ }, { "cell_type": "code", - "execution_count": 21, + "execution_count": 45, "metadata": {}, "outputs": [ { @@ -1254,7 +1388,7 @@ "-0.0031235200417913944" ] }, - "execution_count": 21, + "execution_count": 45, "metadata": {}, "output_type": "execute_result" } @@ -1296,7 +1430,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 50, "metadata": {}, "outputs": [], "source": [ @@ -1311,23 +1445,23 @@ " y -- the observed values\n", " ypred -- the predicted values\n", " \"\"\"\n", - " abs_error = np.abs(___ - ___)\n", - " mae = np.mean(___)\n", + " abs_error = np.abs(y - ypred)\n", + " mae = np.mean(abs_error)\n", " return mae" ] }, { "cell_type": "code", - "execution_count": 23, + "execution_count": 51, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "17.923463717146785" + "17.92346371714677" ] }, - "execution_count": 23, + "execution_count": 51, "metadata": {}, "output_type": "execute_result" } @@ -1338,7 +1472,7 @@ }, { "cell_type": "code", - "execution_count": 24, + "execution_count": 52, "metadata": {}, "outputs": [ { @@ -1347,7 +1481,7 @@ "19.136142081278486" ] }, - "execution_count": 24, + "execution_count": 52, "metadata": {}, "output_type": "execute_result" } @@ -1381,7 +1515,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 56, "metadata": { "scrolled": true }, @@ -1398,23 +1532,23 @@ " y -- the observed values\n", " ypred -- the predicted values\n", " \"\"\"\n", - " sq_error = (___ - ___)**2\n", - " mse = np.mean(___)\n", + " sq_error = (y - ypred)**2\n", + " mse = np.mean(sq_error)\n", " return mse" ] }, { "cell_type": "code", - "execution_count": 26, + "execution_count": 57, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "614.1334096969057" + "614.1334096969046" ] }, - "execution_count": 26, + "execution_count": 57, "metadata": {}, "output_type": "execute_result" } @@ -1425,16 +1559,16 @@ }, { "cell_type": "code", - "execution_count": 27, + "execution_count": 58, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "581.4365441953481" + "581.4365441953483" ] }, - "execution_count": 27, + "execution_count": 58, "metadata": {}, "output_type": "execute_result" } @@ -1452,7 +1586,7 @@ }, { "cell_type": "code", - "execution_count": 28, + "execution_count": 60, "metadata": {}, "outputs": [ { @@ -1461,7 +1595,7 @@ "array([24.78171523, 24.11299534])" ] }, - "execution_count": 28, + "execution_count": 60, "metadata": {}, "output_type": "execute_result" } @@ -1493,7 +1627,7 @@ }, { "cell_type": "code", - "execution_count": 29, + "execution_count": 64, "metadata": {}, "outputs": [ { @@ -1502,7 +1636,7 @@ "(0.0, -0.0031235200417913944)" ] }, - "execution_count": 29, + "execution_count": 64, "metadata": {}, "output_type": "execute_result" } @@ -1520,7 +1654,7 @@ }, { "cell_type": "code", - "execution_count": 30, + "execution_count": 66, "metadata": {}, "outputs": [ { @@ -1529,7 +1663,7 @@ "(17.92346371714677, 19.136142081278486)" ] }, - "execution_count": 30, + "execution_count": 66, "metadata": {}, "output_type": "execute_result" } @@ -1547,7 +1681,7 @@ }, { "cell_type": "code", - "execution_count": 31, + "execution_count": 68, "metadata": {}, "outputs": [ { @@ -1556,7 +1690,7 @@ "(614.1334096969046, 581.4365441953483)" ] }, - "execution_count": 31, + "execution_count": 68, "metadata": {}, "output_type": "execute_result" } @@ -1588,7 +1722,7 @@ }, { "cell_type": "code", - "execution_count": 32, + "execution_count": 72, "metadata": {}, "outputs": [ { @@ -1597,7 +1731,7 @@ "(0.0, -3.041041349306602e+30)" ] }, - "execution_count": 32, + "execution_count": 72, "metadata": {}, "output_type": "execute_result" } @@ -1610,7 +1744,154 @@ }, { "cell_type": "code", - "execution_count": 33, + "execution_count": 73, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "\u001b[1;31mSignature:\u001b[0m\n", + "\u001b[0mr2_score\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m\n", + "\u001b[0m \u001b[0my_true\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\n", + "\u001b[0m \u001b[0my_pred\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\n", + "\u001b[0m \u001b[1;33m*\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\n", + "\u001b[0m \u001b[0msample_weight\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;32mNone\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\n", + "\u001b[0m \u001b[0mmultioutput\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;34m'uniform_average'\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\n", + "\u001b[0m \u001b[0mforce_finite\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;32mTrue\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\n", + "\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", + "\u001b[1;31mDocstring:\u001b[0m\n", + ":math:`R^2` (coefficient of determination) regression score function.\n", + "\n", + "Best possible score is 1.0 and it can be negative (because the\n", + "model can be arbitrarily worse). In the general case when the true y is\n", + "non-constant, a constant model that always predicts the average y\n", + "disregarding the input features would get a :math:`R^2` score of 0.0.\n", + "\n", + "In the particular case when ``y_true`` is constant, the :math:`R^2` score\n", + "is not finite: it is either ``NaN`` (perfect predictions) or ``-Inf``\n", + "(imperfect predictions). To prevent such non-finite numbers to pollute\n", + "higher-level experiments such as a grid search cross-validation, by default\n", + "these cases are replaced with 1.0 (perfect predictions) or 0.0 (imperfect\n", + "predictions) respectively. You can set ``force_finite`` to ``False`` to\n", + "prevent this fix from happening.\n", + "\n", + "Note: when the prediction residuals have zero mean, the :math:`R^2` score\n", + "is identical to the\n", + ":func:`Explained Variance score `.\n", + "\n", + "Read more in the :ref:`User Guide `.\n", + "\n", + "Parameters\n", + "----------\n", + "y_true : array-like of shape (n_samples,) or (n_samples, n_outputs)\n", + " Ground truth (correct) target values.\n", + "\n", + "y_pred : array-like of shape (n_samples,) or (n_samples, n_outputs)\n", + " Estimated target values.\n", + "\n", + "sample_weight : array-like of shape (n_samples,), default=None\n", + " Sample weights.\n", + "\n", + "multioutput : {'raw_values', 'uniform_average', 'variance_weighted'}, array-like of shape (n_outputs,) or None, default='uniform_average'\n", + "\n", + " Defines aggregating of multiple output scores.\n", + " Array-like value defines weights used to average scores.\n", + " Default is \"uniform_average\".\n", + "\n", + " 'raw_values' :\n", + " Returns a full set of scores in case of multioutput input.\n", + "\n", + " 'uniform_average' :\n", + " Scores of all outputs are averaged with uniform weight.\n", + "\n", + " 'variance_weighted' :\n", + " Scores of all outputs are averaged, weighted by the variances\n", + " of each individual output.\n", + "\n", + " .. versionchanged:: 0.19\n", + " Default value of multioutput is 'uniform_average'.\n", + "\n", + "force_finite : bool, default=True\n", + " Flag indicating if ``NaN`` and ``-Inf`` scores resulting from constant\n", + " data should be replaced with real numbers (``1.0`` if prediction is\n", + " perfect, ``0.0`` otherwise). Default is ``True``, a convenient setting\n", + " for hyperparameters' search procedures (e.g. grid search\n", + " cross-validation).\n", + "\n", + " .. versionadded:: 1.1\n", + "\n", + "Returns\n", + "-------\n", + "z : float or ndarray of floats\n", + " The :math:`R^2` score or ndarray of scores if 'multioutput' is\n", + " 'raw_values'.\n", + "\n", + "Notes\n", + "-----\n", + "This is not a symmetric function.\n", + "\n", + "Unlike most other scores, :math:`R^2` score may be negative (it need not\n", + "actually be the square of a quantity R).\n", + "\n", + "This metric is not well-defined for single samples and will return a NaN\n", + "value if n_samples is less than two.\n", + "\n", + "References\n", + "----------\n", + ".. [1] `Wikipedia entry on the Coefficient of determination\n", + " `_\n", + "\n", + "Examples\n", + "--------\n", + ">>> from sklearn.metrics import r2_score\n", + ">>> y_true = [3, -0.5, 2, 7]\n", + ">>> y_pred = [2.5, 0.0, 2, 8]\n", + ">>> r2_score(y_true, y_pred)\n", + "0.948...\n", + ">>> y_true = [[0.5, 1], [-1, 1], [7, -6]]\n", + ">>> y_pred = [[0, 2], [-1, 2], [8, -5]]\n", + ">>> r2_score(y_true, y_pred,\n", + "... multioutput='variance_weighted')\n", + "0.938...\n", + ">>> y_true = [1, 2, 3]\n", + ">>> y_pred = [1, 2, 3]\n", + ">>> r2_score(y_true, y_pred)\n", + "1.0\n", + ">>> y_true = [1, 2, 3]\n", + ">>> y_pred = [2, 2, 2]\n", + ">>> r2_score(y_true, y_pred)\n", + "0.0\n", + ">>> y_true = [1, 2, 3]\n", + ">>> y_pred = [3, 2, 1]\n", + ">>> r2_score(y_true, y_pred)\n", + "-3.0\n", + ">>> y_true = [-2, -2, -2]\n", + ">>> y_pred = [-2, -2, -2]\n", + ">>> r2_score(y_true, y_pred)\n", + "1.0\n", + ">>> r2_score(y_true, y_pred, force_finite=False)\n", + "nan\n", + ">>> y_true = [-2, -2, -2]\n", + ">>> y_pred = [-2, -2, -2 + 1e-8]\n", + ">>> r2_score(y_true, y_pred)\n", + "0.0\n", + ">>> r2_score(y_true, y_pred, force_finite=False)\n", + "-inf\n", + "\u001b[1;31mFile:\u001b[0m c:\\users\\wdwbe\\anaconda3\\lib\\site-packages\\sklearn\\metrics\\_regression.py\n", + "\u001b[1;31mType:\u001b[0m function" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "r2_score?" + ] + }, + { + "cell_type": "code", + "execution_count": 74, "metadata": {}, "outputs": [ { @@ -1619,7 +1900,7 @@ "(-0.0031235200417913944, 0.0)" ] }, - "execution_count": 33, + "execution_count": 74, "metadata": {}, "output_type": "execute_result" } @@ -1632,7 +1913,7 @@ }, { "cell_type": "code", - "execution_count": 34, + "execution_count": 75, "metadata": {}, "outputs": [ { @@ -1641,7 +1922,7 @@ "(0.0, -3.041041349306602e+30)" ] }, - "execution_count": 34, + "execution_count": 75, "metadata": {}, "output_type": "execute_result" } @@ -1654,15 +1935,15 @@ }, { "cell_type": "code", - "execution_count": 35, + "execution_count": 76, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ - "/home/guy/anaconda3/lib/python3.7/site-packages/ipykernel_launcher.py:15: RuntimeWarning: divide by zero encountered in double_scalars\n", - " from ipykernel import kernelapp as app\n" + "C:\\Users\\wdwbe\\AppData\\Local\\Temp\\ipykernel_32144\\1803819837.py:15: RuntimeWarning: divide by zero encountered in scalar divide\n", + " R2 = 1.0 - sum_sq_res / sum_sq_tot\n" ] }, { @@ -1671,7 +1952,7 @@ "(-0.0031235200417913944, -inf)" ] }, - "execution_count": 35, + "execution_count": 76, "metadata": {}, "output_type": "execute_result" } @@ -1737,7 +2018,7 @@ }, { "cell_type": "code", - "execution_count": 36, + "execution_count": 84, "metadata": {}, "outputs": [ { @@ -1778,7 +2059,7 @@ "dtype: float64" ] }, - "execution_count": 36, + "execution_count": 84, "metadata": {}, "output_type": "execute_result" } @@ -1798,15 +2079,15 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 86, "metadata": {}, "outputs": [], "source": [ "#Code task 9#\n", "#Call `X_train` and `X_test`'s `fillna()` method, passing `X_defaults_median` as the values to use\n", "#Assign the results to `X_tr` and `X_te`, respectively\n", - "X_tr = X_train.___(___)\n", - "X_te = X_test.___(___)" + "X_tr = X_train.fillna(X_defaults_median)\n", + "X_te = X_test.fillna(X_defaults_median)" ] }, { @@ -1825,7 +2106,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 89, "metadata": {}, "outputs": [], "source": [ @@ -1834,9 +2115,9 @@ "#then use it's `transform()` method to apply the scaling to both the train and test split\n", "#data (`X_tr` and `X_te`), naming the results `X_tr_scaled` and `X_te_scaled`, respectively\n", "scaler = StandardScaler()\n", - "scaler.___(X_tr)\n", - "X_tr_scaled = scaler.___(X_tr)\n", - "X_te_scaled = scaler.___(X_te)" + "scaler.fit(X_tr)\n", + "X_tr_scaled = scaler.transform(X_tr)\n", + "X_te_scaled = scaler.transform(X_te)" ] }, { @@ -1848,7 +2129,7 @@ }, { "cell_type": "code", - "execution_count": 39, + "execution_count": 91, "metadata": {}, "outputs": [], "source": [ @@ -1864,15 +2145,15 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 93, "metadata": {}, "outputs": [], "source": [ "#Code task 11#\n", "#Call the `predict()` method of the model (`lm`) on both the (scaled) train and test data\n", "#Assign the predictions to `y_tr_pred` and `y_te_pred`, respectively\n", - "y_tr_pred = lm.___(X_tr_scaled)\n", - "y_te_pred = lm.___(X_te_scaled)" + "y_tr_pred = lm.predict(X_tr_scaled)\n", + "y_te_pred = lm.predict(X_te_scaled)" ] }, { @@ -1884,16 +2165,16 @@ }, { "cell_type": "code", - "execution_count": 41, + "execution_count": 95, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "(0.8177988515690604, 0.7209725843435142)" + "(0.8177988515690604, 0.7209725843435149)" ] }, - "execution_count": 41, + "execution_count": 95, "metadata": {}, "output_type": "execute_result" } @@ -1913,15 +2194,26 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 97, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "(8.547850301825429, 9.40702011858132)" + ] + }, + "execution_count": 97, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "#Code task 12#\n", "#Now calculate the mean absolute error scores using `sklearn`'s `mean_absolute_error` function\n", "# as we did above for R^2\n", "# MAE - train, test\n", - "median_mae = ___(y_train, y_tr_pred), ___(y_test, y_te_pred)\n", + "median_mae = mean_absolute_error(y_train, y_tr_pred), mean_absolute_error(y_test, y_te_pred)\n", "median_mae" ] }, @@ -1934,14 +2226,25 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 99, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "(111.89581253658478, 161.73156451192253)" + ] + }, + "execution_count": 99, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "#Code task 13#\n", "#And also do the same using `sklearn`'s `mean_squared_error`\n", "# MSE - train, test\n", - "median_mse = ___(___, ___), ___(___, ___)\n", + "median_mse = mean_squared_error(y_train, y_tr_pred), mean_squared_error(y_test, y_te_pred)\n", "median_mse" ] }, @@ -1968,14 +2271,57 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 103, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "summit_elev 4074.554404\n", + "vertical_drop 1043.196891\n", + "base_elev 3020.512953\n", + "trams 0.103627\n", + "fastSixes 0.072539\n", + "fastQuads 0.673575\n", + "quad 1.010363\n", + "triple 1.440415\n", + "double 1.813472\n", + "surface 2.497409\n", + "total_chairs 7.611399\n", + "Runs 41.188482\n", + "TerrainParks 2.434783\n", + "LongestRun_mi 1.293122\n", + "SkiableTerrain_ac 448.785340\n", + "Snow Making_ac 129.601190\n", + "daysOpenLastYear 110.100629\n", + "yearsOpen 56.559585\n", + "averageSnowfall 162.310160\n", + "projectedDaysOpen 115.920245\n", + "NightSkiing_ac 86.384615\n", + "resorts_per_state 16.264249\n", + "resorts_per_100kcapita 0.424802\n", + "resorts_per_100ksq_mile 40.957785\n", + "resort_skiable_area_ac_state_ratio 0.097205\n", + "resort_days_open_state_ratio 0.126014\n", + "resort_terrain_park_state_ratio 0.116022\n", + "resort_night_skiing_state_ratio 0.155024\n", + "total_chairs_runs_ratio 0.271441\n", + "total_chairs_skiable_ratio 0.070483\n", + "fastQuads_runs_ratio 0.010401\n", + "fastQuads_skiable_ratio 0.001633\n", + "dtype: float64" + ] + }, + "execution_count": 103, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "#Code task 14#\n", "#As we did for the median above, calculate mean values for imputing missing values\n", "# These are the values we'll use to fill in any missing values\n", - "X_defaults_mean = X_train.___()\n", + "X_defaults_mean = X_train.mean()\n", "X_defaults_mean" ] }, @@ -1995,7 +2341,7 @@ }, { "cell_type": "code", - "execution_count": 45, + "execution_count": 106, "metadata": {}, "outputs": [], "source": [ @@ -2012,7 +2358,7 @@ }, { "cell_type": "code", - "execution_count": 46, + "execution_count": 108, "metadata": {}, "outputs": [], "source": [ @@ -2031,7 +2377,7 @@ }, { "cell_type": "code", - "execution_count": 47, + "execution_count": 110, "metadata": {}, "outputs": [], "source": [ @@ -2047,7 +2393,7 @@ }, { "cell_type": "code", - "execution_count": 48, + "execution_count": 112, "metadata": {}, "outputs": [], "source": [ @@ -2064,16 +2410,16 @@ }, { "cell_type": "code", - "execution_count": 49, + "execution_count": 114, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "(0.8170154093990025, 0.716381471695996)" + "(0.8170154093990025, 0.7163814716959959)" ] }, - "execution_count": 49, + "execution_count": 114, "metadata": {}, "output_type": "execute_result" } @@ -2084,16 +2430,16 @@ }, { "cell_type": "code", - "execution_count": 50, + "execution_count": 115, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "(8.536884040670973, 9.416375625789271)" + "(8.536884040670977, 9.416375625789275)" ] }, - "execution_count": 50, + "execution_count": 115, "metadata": {}, "output_type": "execute_result" } @@ -2104,16 +2450,16 @@ }, { "cell_type": "code", - "execution_count": 51, + "execution_count": 116, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "(112.37695054778276, 164.3926930952436)" + "(112.37695054778276, 164.39269309524371)" ] }, - "execution_count": 51, + "execution_count": 116, "metadata": {}, "output_type": "execute_result" } @@ -2168,7 +2514,7 @@ }, { "cell_type": "code", - "execution_count": 52, + "execution_count": 121, "metadata": {}, "outputs": [], "source": [ @@ -2181,7 +2527,7 @@ }, { "cell_type": "code", - "execution_count": 53, + "execution_count": 122, "metadata": {}, "outputs": [ { @@ -2190,7 +2536,7 @@ "sklearn.pipeline.Pipeline" ] }, - "execution_count": 53, + "execution_count": 122, "metadata": {}, "output_type": "execute_result" } @@ -2201,7 +2547,7 @@ }, { "cell_type": "code", - "execution_count": 54, + "execution_count": 123, "metadata": {}, "outputs": [ { @@ -2210,7 +2556,7 @@ "(True, True)" ] }, - "execution_count": 54, + "execution_count": 123, "metadata": {}, "output_type": "execute_result" } @@ -2235,13 +2581,437 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 126, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/html": [ + "
Pipeline(steps=[('simpleimputer', SimpleImputer(strategy='median')),\n",
+       "                ('standardscaler', StandardScaler()),\n",
+       "                ('linearregression', LinearRegression())])
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" + ], + "text/plain": [ + "Pipeline(steps=[('simpleimputer', SimpleImputer(strategy='median')),\n", + " ('standardscaler', StandardScaler()),\n", + " ('linearregression', LinearRegression())])" + ] + }, + "execution_count": 126, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "#Code task 15#\n", "#Call the pipe's `fit()` method with `X_train` and `y_train` as arguments\n", - "pipe.___(___, ___)" + "pipe.fit(X_train, y_train)" ] }, { @@ -2253,7 +3023,7 @@ }, { "cell_type": "code", - "execution_count": 56, + "execution_count": 128, "metadata": {}, "outputs": [], "source": [ @@ -2270,16 +3040,16 @@ }, { "cell_type": "code", - "execution_count": 57, + "execution_count": 130, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "(0.8177988515690604, 0.7209725843435142)" + "(0.8177988515690604, 0.7209725843435149)" ] }, - "execution_count": 57, + "execution_count": 130, "metadata": {}, "output_type": "execute_result" } @@ -2297,16 +3067,16 @@ }, { "cell_type": "code", - "execution_count": 58, + "execution_count": 132, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "(0.8177988515690604, 0.7209725843435142)" + "(0.8177988515690604, 0.7209725843435149)" ] }, - "execution_count": 58, + "execution_count": 132, "metadata": {}, "output_type": "execute_result" } @@ -2317,16 +3087,16 @@ }, { "cell_type": "code", - "execution_count": 59, + "execution_count": 133, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "(8.547850301825427, 9.40702011858132)" + "(8.547850301825429, 9.40702011858132)" ] }, - "execution_count": 59, + "execution_count": 133, "metadata": {}, "output_type": "execute_result" } @@ -2336,26 +3106,24 @@ ] }, { - "cell_type": "code", - "execution_count": null, + "cell_type": "markdown", "metadata": {}, - "outputs": [], "source": [ "Compare with your earlier result:" ] }, { "cell_type": "code", - "execution_count": 60, + "execution_count": 135, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "(8.547850301825427, 9.40702011858132)" + "(8.547850301825429, 9.40702011858132)" ] }, - "execution_count": 60, + "execution_count": 135, "metadata": {}, "output_type": "execute_result" } @@ -2366,16 +3134,16 @@ }, { "cell_type": "code", - "execution_count": 61, + "execution_count": 136, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "(111.89581253658478, 161.73156451192284)" + "(111.89581253658478, 161.73156451192253)" ] }, - "execution_count": 61, + "execution_count": 136, "metadata": {}, "output_type": "execute_result" } @@ -2393,16 +3161,16 @@ }, { "cell_type": "code", - "execution_count": 62, + "execution_count": 138, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "(111.89581253658478, 161.73156451192284)" + "(111.89581253658478, 161.73156451192253)" ] }, - "execution_count": 62, + "execution_count": 138, "metadata": {}, "output_type": "execute_result" } @@ -2449,7 +3217,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 144, "metadata": {}, "outputs": [], "source": [ @@ -2459,7 +3227,7 @@ "pipe = make_pipeline(\n", " SimpleImputer(strategy='median'), \n", " StandardScaler(),\n", - " ___(___),\n", + " SelectKBest(score_func = f_regression),\n", " LinearRegression()\n", ")" ] @@ -2473,20 +3241,435 @@ }, { "cell_type": "code", - "execution_count": 64, + "execution_count": 146, "metadata": {}, "outputs": [ { "data": { + "text/html": [ + "
Pipeline(steps=[('simpleimputer', SimpleImputer(strategy='median')),\n",
+       "                ('standardscaler', StandardScaler()),\n",
+       "                ('selectkbest',\n",
+       "                 SelectKBest(score_func=<function f_regression at 0x00000295311C3A60>)),\n",
+       "                ('linearregression', LinearRegression())])
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" + ], "text/plain": [ "Pipeline(steps=[('simpleimputer', SimpleImputer(strategy='median')),\n", " ('standardscaler', StandardScaler()),\n", " ('selectkbest',\n", - " SelectKBest(score_func=)),\n", + " SelectKBest(score_func=)),\n", " ('linearregression', LinearRegression())])" ] }, - "execution_count": 64, + "execution_count": 146, "metadata": {}, "output_type": "execute_result" } @@ -2504,7 +3687,7 @@ }, { "cell_type": "code", - "execution_count": 65, + "execution_count": 148, "metadata": {}, "outputs": [], "source": [ @@ -2514,7 +3697,7 @@ }, { "cell_type": "code", - "execution_count": 66, + "execution_count": 149, "metadata": {}, "outputs": [ { @@ -2523,7 +3706,7 @@ "(0.7674914326052744, 0.6259877354190833)" ] }, - "execution_count": 66, + "execution_count": 149, "metadata": {}, "output_type": "execute_result" } @@ -2534,16 +3717,16 @@ }, { "cell_type": "code", - "execution_count": 67, + "execution_count": 150, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "(9.501495079727484, 11.201830190332057)" + "(9.501495079727485, 11.201830190332057)" ] }, - "execution_count": 67, + "execution_count": 150, "metadata": {}, "output_type": "execute_result" } @@ -2568,7 +3751,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 153, "metadata": {}, "outputs": [], "source": [ @@ -2577,7 +3760,7 @@ "pipe15 = make_pipeline(\n", " SimpleImputer(strategy='median'), \n", " StandardScaler(),\n", - " ___(___, k=___),\n", + " SelectKBest(score_func = f_regression, k=15),\n", " LinearRegression()\n", ")" ] @@ -2591,21 +3774,438 @@ }, { "cell_type": "code", - "execution_count": 69, + "execution_count": 155, "metadata": {}, "outputs": [ { "data": { + "text/html": [ + "
Pipeline(steps=[('simpleimputer', SimpleImputer(strategy='median')),\n",
+       "                ('standardscaler', StandardScaler()),\n",
+       "                ('selectkbest',\n",
+       "                 SelectKBest(k=15,\n",
+       "                             score_func=<function f_regression at 0x00000295311C3A60>)),\n",
+       "                ('linearregression', LinearRegression())])
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" + ], "text/plain": [ "Pipeline(steps=[('simpleimputer', SimpleImputer(strategy='median')),\n", " ('standardscaler', StandardScaler()),\n", " ('selectkbest',\n", " SelectKBest(k=15,\n", - " score_func=)),\n", + " score_func=)),\n", " ('linearregression', LinearRegression())])" ] }, - "execution_count": 69, + "execution_count": 155, "metadata": {}, "output_type": "execute_result" } @@ -2623,7 +4223,7 @@ }, { "cell_type": "code", - "execution_count": 70, + "execution_count": 157, "metadata": {}, "outputs": [], "source": [ @@ -2633,7 +4233,7 @@ }, { "cell_type": "code", - "execution_count": 71, + "execution_count": 158, "metadata": {}, "outputs": [ { @@ -2642,7 +4242,7 @@ "(0.7924096060483825, 0.6376199973170795)" ] }, - "execution_count": 71, + "execution_count": 158, "metadata": {}, "output_type": "execute_result" } @@ -2653,7 +4253,7 @@ }, { "cell_type": "code", - "execution_count": 72, + "execution_count": 159, "metadata": {}, "outputs": [ { @@ -2662,7 +4262,7 @@ "(9.211767769307116, 10.488246867294356)" ] }, - "execution_count": 72, + "execution_count": 159, "metadata": {}, "output_type": "execute_result" } @@ -2689,7 +4289,7 @@ }, { "cell_type": "code", - "execution_count": 73, + "execution_count": 162, "metadata": {}, "outputs": [], "source": [ @@ -2698,7 +4298,7 @@ }, { "cell_type": "code", - "execution_count": 74, + "execution_count": 163, "metadata": {}, "outputs": [ { @@ -2707,7 +4307,7 @@ "array([0.63760862, 0.72831381, 0.74443537, 0.5487915 , 0.50441472])" ] }, - "execution_count": 74, + "execution_count": 163, "metadata": {}, "output_type": "execute_result" } @@ -2726,16 +4326,16 @@ }, { "cell_type": "code", - "execution_count": 75, + "execution_count": 165, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "(0.6327128053007867, 0.09502487849877672)" + "(0.6327128053007863, 0.09502487849877687)" ] }, - "execution_count": 75, + "execution_count": 165, "metadata": {}, "output_type": "execute_result" } @@ -2753,7 +4353,7 @@ }, { "cell_type": "code", - "execution_count": 76, + "execution_count": 167, "metadata": {}, "outputs": [ { @@ -2762,7 +4362,7 @@ "array([0.44, 0.82])" ] }, - "execution_count": 76, + "execution_count": 167, "metadata": {}, "output_type": "execute_result" } @@ -2797,14 +4397,25 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 170, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "dict_keys(['memory', 'steps', 'verbose', 'simpleimputer', 'standardscaler', 'selectkbest', 'linearregression', 'simpleimputer__add_indicator', 'simpleimputer__copy', 'simpleimputer__fill_value', 'simpleimputer__keep_empty_features', 'simpleimputer__missing_values', 'simpleimputer__strategy', 'standardscaler__copy', 'standardscaler__with_mean', 'standardscaler__with_std', 'selectkbest__k', 'selectkbest__score_func', 'linearregression__copy_X', 'linearregression__fit_intercept', 'linearregression__n_jobs', 'linearregression__positive'])" + ] + }, + "execution_count": 170, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "#Code task 18#\n", "#Call `pipe`'s `get_params()` method to get a dict of available parameters and print their names\n", "#using dict's `keys()` method\n", - "pipe.___.keys()" + "pipe.get_params().keys()" ] }, { @@ -2816,7 +4427,7 @@ }, { "cell_type": "code", - "execution_count": 78, + "execution_count": 172, "metadata": {}, "outputs": [], "source": [ @@ -2834,7 +4445,7 @@ }, { "cell_type": "code", - "execution_count": 79, + "execution_count": 174, "metadata": {}, "outputs": [], "source": [ @@ -2843,18 +4454,454 @@ }, { "cell_type": "code", - "execution_count": 80, + "execution_count": 175, "metadata": {}, "outputs": [ { "data": { + "text/html": [ + "
GridSearchCV(cv=5,\n",
+       "             estimator=Pipeline(steps=[('simpleimputer',\n",
+       "                                        SimpleImputer(strategy='median')),\n",
+       "                                       ('standardscaler', StandardScaler()),\n",
+       "                                       ('selectkbest',\n",
+       "                                        SelectKBest(score_func=<function f_regression at 0x00000295311C3A60>)),\n",
+       "                                       ('linearregression',\n",
+       "                                        LinearRegression())]),\n",
+       "             n_jobs=-1,\n",
+       "             param_grid={'selectkbest__k': [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11,\n",
+       "                                            12, 13, 14, 15, 16, 17, 18, 19, 20,\n",
+       "                                            21, 22, 23, 24, 25, 26, 27, 28, 29,\n",
+       "                                            30, ...]})
In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook.
On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.
" + ], "text/plain": [ "GridSearchCV(cv=5,\n", " estimator=Pipeline(steps=[('simpleimputer',\n", " SimpleImputer(strategy='median')),\n", " ('standardscaler', StandardScaler()),\n", " ('selectkbest',\n", - " SelectKBest(score_func=)),\n", + " SelectKBest(score_func=)),\n", " ('linearregression',\n", " LinearRegression())]),\n", " n_jobs=-1,\n", @@ -2864,7 +4911,7 @@ " 30, ...]})" ] }, - "execution_count": 80, + "execution_count": 175, "metadata": {}, "output_type": "execute_result" } @@ -2875,7 +4922,7 @@ }, { "cell_type": "code", - "execution_count": 81, + "execution_count": 176, "metadata": {}, "outputs": [], "source": [ @@ -2886,24 +4933,46 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 177, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "{'selectkbest__k': 8}" + ] + }, + "execution_count": 177, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "#Code task 19#\n", "#Print the `best_params_` attribute of `lr_grid_cv`\n", - "lr_grid_cv.___" + "lr_grid_cv.best_params_" ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 178, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ "#Code task 20#\n", "#Assign the value of k from the above dict of `best_params_` and assign it to `best_k`\n", - "___ = lr_grid_cv.___['selectkbest__k']\n", + "best_k = lr_grid_cv.best_params_['selectkbest__k']\n", "plt.subplots(figsize=(10, 5))\n", "plt.errorbar(cv_k, score_mean, yerr=score_std)\n", "plt.axvline(x=best_k, c='r', ls='--', alpha=.5)\n", @@ -2928,11 +4997,26 @@ }, { "cell_type": "code", - "execution_count": 84, + "execution_count": 181, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "array([False, True, False, True, False, True, False, False, False,\n", + " False, True, True, False, True, True, True, False, False,\n", + " False, False, False, False, False, False, False, False, False,\n", + " False, False, False, False, False])" + ] + }, + "execution_count": 181, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ - "selected = lr_grid_cv.best_estimator_.named_steps.selectkbest.get_support()" + "selected = lr_grid_cv.best_estimator_.named_steps.selectkbest.get_support()\n", + "selected" ] }, { @@ -2944,9 +5028,28 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 183, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "vertical_drop 10.767857\n", + "Snow Making_ac 6.290074\n", + "total_chairs 5.794156\n", + "fastQuads 5.745626\n", + "Runs 5.370555\n", + "LongestRun_mi 0.181814\n", + "trams -4.142024\n", + "SkiableTerrain_ac -5.249780\n", + "dtype: float64" + ] + }, + "execution_count": 183, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "#Code task 21#\n", "#Get the linear model coefficients from the `coef_` attribute and store in `coefs`,\n", @@ -2955,7 +5058,7 @@ "#sorting the values in descending order\n", "coefs = lr_grid_cv.best_estimator_.named_steps.linearregression.coef_\n", "features = X_train.columns[selected]\n", - "pd.Series(___, index=___).___(ascending=___)" + "pd.Series(coefs, index=features).sort_values(ascending=False)" ] }, { @@ -2990,7 +5093,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 188, "metadata": {}, "outputs": [], "source": [ @@ -3000,9 +5103,9 @@ "#StandardScaler(),\n", "#and then RandomForestRegressor() with a random state of 47\n", "RF_pipe = make_pipeline(\n", - " ___(strategy=___),\n", - " ___,\n", - " ___(random_state=___)\n", + " SimpleImputer(strategy='median'),\n", + " StandardScaler(),\n", + " RandomForestRegressor(random_state=47)\n", ")" ] }, @@ -3015,7 +5118,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 190, "metadata": {}, "outputs": [], "source": [ @@ -3023,12 +5126,12 @@ "#Call `cross_validate` to estimate the pipeline's performance.\n", "#Pass it the random forest pipe object, `X_train` and `y_train`,\n", "#and get it to use 5-fold cross-validation\n", - "rf_default_cv_results = cross_validate(___, ___, ___, cv=___)" + "rf_default_cv_results = cross_validate(RF_pipe, X_train, y_train, cv=5)" ] }, { "cell_type": "code", - "execution_count": 88, + "execution_count": 191, "metadata": {}, "outputs": [ { @@ -3037,7 +5140,7 @@ "array([0.69249204, 0.78061953, 0.77546915, 0.62190924, 0.61742339])" ] }, - "execution_count": 88, + "execution_count": 191, "metadata": {}, "output_type": "execute_result" } @@ -3049,7 +5152,7 @@ }, { "cell_type": "code", - "execution_count": 89, + "execution_count": 192, "metadata": {}, "outputs": [ { @@ -3058,7 +5161,7 @@ "(0.6975826707112506, 0.07090742940774528)" ] }, - "execution_count": 89, + "execution_count": 192, "metadata": {}, "output_type": "execute_result" } @@ -3083,7 +5186,7 @@ }, { "cell_type": "code", - "execution_count": 90, + "execution_count": 195, "metadata": {}, "outputs": [ { @@ -3113,7 +5216,7 @@ " 'simpleimputer__strategy': ['mean', 'median']}" ] }, - "execution_count": 90, + "execution_count": 195, "metadata": {}, "output_type": "execute_result" } @@ -3130,37 +5233,978 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 196, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/html": [ + "
GridSearchCV(cv=5,\n",
+       "             estimator=Pipeline(steps=[('simpleimputer',\n",
+       "                                        SimpleImputer(strategy='median')),\n",
+       "                                       ('standardscaler', StandardScaler()),\n",
+       "                                       ('randomforestregressor',\n",
+       "                                        RandomForestRegressor(random_state=47))]),\n",
+       "             n_jobs=-1,\n",
+       "             param_grid={'randomforestregressor__n_estimators': [10, 12, 16, 20,\n",
+       "                                                                 26, 33, 42, 54,\n",
+       "                                                                 69, 88, 112,\n",
+       "                                                                 143, 183, 233,\n",
+       "                                                                 297, 379, 483,\n",
+       "                                                                 615, 784,\n",
+       "                                                                 1000],\n",
+       "                         'simpleimputer__strategy': ['mean', 'median'],\n",
+       "                         'standardscaler': [StandardScaler(), None]})
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" + ], + "text/plain": [ + "GridSearchCV(cv=5,\n", + " estimator=Pipeline(steps=[('simpleimputer',\n", + " SimpleImputer(strategy='median')),\n", + " ('standardscaler', StandardScaler()),\n", + " ('randomforestregressor',\n", + " RandomForestRegressor(random_state=47))]),\n", + " n_jobs=-1,\n", + " param_grid={'randomforestregressor__n_estimators': [10, 12, 16, 20,\n", + " 26, 33, 42, 54,\n", + " 69, 88, 112,\n", + " 143, 183, 233,\n", + " 297, 379, 483,\n", + " 615, 784,\n", + " 1000],\n", + " 'simpleimputer__strategy': ['mean', 'median'],\n", + " 'standardscaler': [StandardScaler(), None]})" + ] + }, + "execution_count": 196, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "#Code task 24#\n", "#Call `GridSearchCV` with the random forest pipeline, passing in the above `grid_params`\n", "#dict for parameters to evaluate, 5-fold cross-validation, and all available CPU cores (if desired)\n", - "rf_grid_cv = GridSearchCV(___, param_grid=___, cv=___, n_jobs=-1)" + "rf_grid_cv = GridSearchCV(RF_pipe, param_grid=grid_params, cv=5, n_jobs=-1)\n", + "rf_grid_cv" ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 197, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/html": [ + "
GridSearchCV(cv=5,\n",
+       "             estimator=Pipeline(steps=[('simpleimputer',\n",
+       "                                        SimpleImputer(strategy='median')),\n",
+       "                                       ('standardscaler', StandardScaler()),\n",
+       "                                       ('randomforestregressor',\n",
+       "                                        RandomForestRegressor(random_state=47))]),\n",
+       "             n_jobs=-1,\n",
+       "             param_grid={'randomforestregressor__n_estimators': [10, 12, 16, 20,\n",
+       "                                                                 26, 33, 42, 54,\n",
+       "                                                                 69, 88, 112,\n",
+       "                                                                 143, 183, 233,\n",
+       "                                                                 297, 379, 483,\n",
+       "                                                                 615, 784,\n",
+       "                                                                 1000],\n",
+       "                         'simpleimputer__strategy': ['mean', 'median'],\n",
+       "                         'standardscaler': [StandardScaler(), None]})
In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook.
On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.
" + ], + "text/plain": [ + "GridSearchCV(cv=5,\n", + " estimator=Pipeline(steps=[('simpleimputer',\n", + " SimpleImputer(strategy='median')),\n", + " ('standardscaler', StandardScaler()),\n", + " ('randomforestregressor',\n", + " RandomForestRegressor(random_state=47))]),\n", + " n_jobs=-1,\n", + " param_grid={'randomforestregressor__n_estimators': [10, 12, 16, 20,\n", + " 26, 33, 42, 54,\n", + " 69, 88, 112,\n", + " 143, 183, 233,\n", + " 297, 379, 483,\n", + " 615, 784,\n", + " 1000],\n", + " 'simpleimputer__strategy': ['mean', 'median'],\n", + " 'standardscaler': [StandardScaler(), None]})" + ] + }, + "execution_count": 197, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "#Code task 25#\n", "#Now call the `GridSearchCV`'s `fit()` method with `X_train` and `y_train` as arguments\n", "#to actually start the grid search. This may take a minute or two.\n", - "rf_grid_cv.___(___, ___)" + "rf_grid_cv.fit(X_train, y_train)" ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 198, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'randomforestregressor__n_estimators': 69, 'simpleimputer__strategy': 'median', 'standardscaler': None}\n" + ] + } + ], "source": [ "#Code task 26#\n", "#Print the best params (`best_params_` attribute) from the grid search\n", - "rf_grid_cv.___" + "print(rf_grid_cv.best_params_)" ] }, { @@ -3172,7 +6216,7 @@ }, { "cell_type": "code", - "execution_count": 94, + "execution_count": 200, "metadata": {}, "outputs": [ { @@ -3181,7 +6225,7 @@ "array([0.6951357 , 0.79430697, 0.77170917, 0.62254707, 0.66499334])" ] }, - "execution_count": 94, + "execution_count": 200, "metadata": {}, "output_type": "execute_result" } @@ -3194,7 +6238,7 @@ }, { "cell_type": "code", - "execution_count": 95, + "execution_count": 201, "metadata": {}, "outputs": [ { @@ -3203,7 +6247,7 @@ "(0.7097384501425082, 0.06451341966873386)" ] }, - "execution_count": 95, + "execution_count": 201, "metadata": {}, "output_type": "execute_result" } @@ -3221,9 +6265,20 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 203, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ "#Code task 27#\n", "#Plot a barplot of the random forest's feature importances,\n", @@ -3232,8 +6287,8 @@ "#create a pandas Series object of the feature importances, with the index given by the\n", "#training data column names, sorting the values in descending order\n", "plt.subplots(figsize=(10, 5))\n", - "imps = rf_grid_cv.best_estimator_.named_steps.randomforestregressor.___\n", - "rf_feat_imps = pd.Series(___, index=X_train.columns).sort_values(ascending=False)\n", + "imps = rf_grid_cv.best_estimator_.named_steps.randomforestregressor.feature_importances_\n", + "rf_feat_imps = pd.Series(imps, index=X_train.columns).sort_values(ascending=False)\n", "rf_feat_imps.plot(kind='bar')\n", "plt.xlabel('features')\n", "plt.ylabel('importance')\n", @@ -3283,7 +6338,7 @@ }, { "cell_type": "code", - "execution_count": 97, + "execution_count": 208, "metadata": {}, "outputs": [], "source": [ @@ -3294,16 +6349,16 @@ }, { "cell_type": "code", - "execution_count": 98, + "execution_count": 209, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "(10.499032338015297, 1.6220608976799646)" + "(10.499032338015295, 1.6220608976799655)" ] }, - "execution_count": 98, + "execution_count": 209, "metadata": {}, "output_type": "execute_result" } @@ -3316,7 +6371,7 @@ }, { "cell_type": "code", - "execution_count": 99, + "execution_count": 210, "metadata": {}, "outputs": [ { @@ -3325,7 +6380,7 @@ "11.793465668669327" ] }, - "execution_count": 99, + "execution_count": 210, "metadata": {}, "output_type": "execute_result" } @@ -3343,7 +6398,7 @@ }, { "cell_type": "code", - "execution_count": 100, + "execution_count": 212, "metadata": {}, "outputs": [], "source": [ @@ -3353,7 +6408,7 @@ }, { "cell_type": "code", - "execution_count": 101, + "execution_count": 213, "metadata": {}, "outputs": [ { @@ -3362,7 +6417,7 @@ "(9.644639167595688, 1.3528565172191818)" ] }, - "execution_count": 101, + "execution_count": 213, "metadata": {}, "output_type": "execute_result" } @@ -3375,7 +6430,7 @@ }, { "cell_type": "code", - "execution_count": 102, + "execution_count": 214, "metadata": {}, "outputs": [ { @@ -3384,7 +6439,7 @@ "9.537730050637332" ] }, - "execution_count": 102, + "execution_count": 214, "metadata": {}, "output_type": "execute_result" } @@ -3423,7 +6478,7 @@ }, { "cell_type": "code", - "execution_count": 103, + "execution_count": 219, "metadata": {}, "outputs": [], "source": [ @@ -3437,19 +6492,17 @@ }, { "cell_type": "code", - "execution_count": 104, + "execution_count": 220, "metadata": {}, "outputs": [ { "data": { - "image/png": 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\n", 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", 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" ] }, - "metadata": { - "needs_background": "light" - }, + "metadata": {}, "output_type": "display_data" } ], @@ -3477,7 +6530,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 223, "metadata": {}, "outputs": [], "source": [ @@ -3492,19 +6545,28 @@ "#and the current datetime (`datetime.datetime.now()`) to the `build_datetime` attribute\n", "#Let's call this model version '1.0'\n", "best_model = rf_grid_cv.best_estimator_\n", - "best_model.version = ___\n", - "best_model.pandas_version = ___\n", - "best_model.numpy_version = ___\n", - "best_model.sklearn_version = ___\n", + "best_model.version = '1.0'\n", + "best_model.pandas_version = pd.__version__\n", + "best_model.numpy_version = np.__version__\n", + "best_model.sklearn_version = sklearn_version\n", "best_model.X_columns = [col for col in X_train.columns]\n", - "best_model.build_datetime = ___" + "best_model.build_datetime = datetime.datetime.now()" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "A file already exists with this name.\n", + "\n" + ] + } + ], "source": [ "# save the model\n", "\n", @@ -3530,15 +6592,77 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "**A: 1** Your answer here" + "**A: 1** Your answer here\n", + "\n", + "This project focused on evaluating different models that might be used to predict the Ticket Price.\n", + "\n", + "**Initial Work**\n", + "* Training and Test Data\n", + " * First the Big Mountain Data was removed from the dataset.\n", + " * Next, the dataset was divided into two datasets: One for Training a Model and another for Testing. \n", + "* Average Price\n", + " * Is just taking the average value of all the Resorts's ticket prices a good guess of what the ticket price should be?\n", + " * Different metrics were used to show that we'd be off by by between $19 and $24.\n", + " * Therefore, this is not the best way to predict the ticket price for a Resort.\n", + "\n", + "**Preprocessing**\n", + "\n", + "* Various tests were run to determine if missing data should be replaced Median or Mean.\n", + " * These tests included coding different steps and also using the SciKitLearn pipeline.\n", + " * Dataset was set to a consistant scale.\n", + " * R2, Mean Absolute Error, and Mean Square Error scores were calculated.\n", + " * After running the tests, there was little difference.\n", + " * Median was chosen to go forward.\n", + "\n", + "**Evaluating Models**\n", + "* Linear Regression\n", + " * SelectKBest was used to find the number of features that should be used in this model\n", + " * 8 Features were determined to be the best number\n", + "* GridSearchCV was used to validate that 8 was a good number and best_estimator was used find those 8 features.\n", + "* Finally the linear model coefficents of those features was caluclated\n", + "* Higher number is the most positive feature:\n", + " * vertical_drop : 10.767857\n", + " * Snow Making_ac : 6.290074\n", + " * total_chairs : 5.794156\n", + " * fastQuads : 5.745626\n", + " * Runs : 5.370555\n", + " * LongestRun_mi : 0.181814\n", + " * trams : -4.142024\n", + " * SkiableTerrain_ac : -5.249780\n", + "\n", + "\n", + "* Random Forest\n", + " * Rather than using the above Test and Train subsets, cross_validate was used to split the dataset into 5 different groups\n", + " * In addition, different tests were run to determine the best method (mean or median) for replacing missing values.\n", + " * Median was the better option.\n", + " * Each time testing and training on a different pair of groups.\n", + " * The most important features were found by running best_estimator with the top 4 features being:\n", + " * fastQuads\n", + " * Runs\n", + " * Snow Making_ac\n", + " * vertical_drop\n", + "\n", + "**Selecting a Model**\n", + "* Each model's Mean Absolute Error score was calculated\n", + "* Mean Absolute Error shows how close the model can predict to the actual value.\n", + " * Linear Regression: $10.49\n", + " * Random Forest: $9.64\n", + "* Because Random Forest has a lower MAE, it should be chosen as the preferred model.\n" ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] } ], "metadata": { "kernelspec": { - "display_name": "Python 3", + "display_name": "Python [conda env:base] *", "language": "python", - "name": "python3" + "name": "conda-base-py" }, "language_info": { "codemirror_mode": { @@ -3550,7 +6674,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.7.9" + "version": "3.12.7" }, "toc": { "base_numbering": 1, diff --git a/Notebooks/05_modeling.ipynb b/Notebooks/05_modeling.ipynb index 4e4008174..e2e3e02b8 100644 --- a/Notebooks/05_modeling.ipynb +++ b/Notebooks/05_modeling.ipynb @@ -87,7 +87,7 @@ }, { "cell_type": "code", - "execution_count": 2, + "execution_count": 3, "metadata": {}, "outputs": [], "source": [ @@ -116,7 +116,7 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 5, "metadata": {}, "outputs": [], "source": [ @@ -125,7 +125,115 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 7, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " Name Region state summit_elev \\\n", + "0 Alyeska Resort Alaska Alaska 3939 \n", + "1 Eaglecrest Ski Area Alaska Alaska 2600 \n", + "2 Hilltop Ski Area Alaska Alaska 2090 \n", + "3 Arizona Snowbowl Arizona Arizona 11500 \n", + "4 Sunrise Park Resort Arizona Arizona 11100 \n", + ".. ... ... ... ... \n", + "272 Hogadon Basin Wyoming Wyoming 8000 \n", + "273 Sleeping Giant Ski Resort Wyoming Wyoming 7428 \n", + "274 Snow King Resort Wyoming Wyoming 7808 \n", + "275 Snowy Range Ski & Recreation Area Wyoming Wyoming 9663 \n", + "276 White Pine Ski Area Wyoming Wyoming 9500 \n", + "\n", + " vertical_drop base_elev trams fastSixes fastQuads quad ... \\\n", + "0 2500 250 1 0 2 2 ... \n", + "1 1540 1200 0 0 0 0 ... \n", + "2 294 1796 0 0 0 0 ... \n", + "3 2300 9200 0 1 0 2 ... \n", + "4 1800 9200 0 0 1 2 ... \n", + ".. ... ... ... ... ... ... ... \n", + "272 640 7400 0 0 0 0 ... \n", + "273 810 6619 0 0 0 0 ... \n", + "274 1571 6237 0 0 0 1 ... \n", + "275 990 8798 0 0 0 0 ... \n", + "276 1100 8400 0 0 0 0 ... \n", + "\n", + " resorts_per_100kcapita resorts_per_100ksq_mile \\\n", + "0 0.410091 0.450867 \n", + "1 0.410091 0.450867 \n", + "2 0.410091 0.450867 \n", + "3 0.027477 1.754540 \n", + "4 0.027477 1.754540 \n", + ".. ... ... \n", + "272 1.382268 8.178872 \n", + "273 1.382268 8.178872 \n", + "274 1.382268 8.178872 \n", + "275 1.382268 8.178872 \n", + "276 1.382268 8.178872 \n", + "\n", + " resort_skiable_area_ac_state_ratio resort_days_open_state_ratio \\\n", + "0 0.706140 0.434783 \n", + "1 0.280702 0.130435 \n", + "2 0.013158 0.434783 \n", + "3 0.492708 0.514768 \n", + "4 0.507292 0.485232 \n", + ".. ... ... \n", + "272 0.014104 0.168994 \n", + "273 0.028208 0.085196 \n", + "274 0.061321 0.168994 \n", + "275 0.011498 0.182961 \n", + "276 0.056722 NaN \n", + "\n", + " resort_terrain_park_state_ratio resort_night_skiing_state_ratio \\\n", + "0 0.500000 0.948276 \n", + "1 0.250000 NaN \n", + "2 0.250000 0.051724 \n", + "3 0.666667 NaN \n", + "4 0.333333 1.000000 \n", + ".. ... ... \n", + "272 0.071429 NaN \n", + "273 0.071429 NaN \n", + "274 0.142857 1.000000 \n", + "275 0.142857 NaN \n", + "276 NaN NaN \n", + "\n", + " total_chairs_runs_ratio total_chairs_skiable_ratio \\\n", + "0 0.092105 0.004348 \n", + "1 0.111111 0.006250 \n", + "2 0.230769 0.100000 \n", + "3 0.145455 0.010296 \n", + "4 0.107692 0.008750 \n", + ".. ... ... \n", + "272 0.071429 0.021739 \n", + "273 0.062500 0.016304 \n", + "274 0.093750 0.007500 \n", + "275 0.151515 0.066667 \n", + "276 0.080000 0.005405 \n", + "\n", + " fastQuads_runs_ratio fastQuads_skiable_ratio \n", + "0 0.026316 0.001242 \n", + "1 0.000000 0.000000 \n", + "2 0.000000 0.000000 \n", + "3 0.000000 0.000000 \n", + "4 0.015385 0.001250 \n", + ".. ... ... \n", + "272 0.000000 0.000000 \n", + "273 0.000000 0.000000 \n", + "274 0.000000 0.000000 \n", + "275 0.000000 0.000000 \n", + "276 0.000000 0.000000 \n", + "\n", + "[277 rows x 36 columns]\n" + ] + } + ], + "source": [ + "print(ski_data)" + ] + }, + { + "cell_type": "code", + "execution_count": 9, "metadata": {}, "outputs": [], "source": [ @@ -134,7 +242,7 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 11, "metadata": { "scrolled": true }, @@ -222,11 +330,11 @@ " \n", " \n", " Runs\n", - " 105\n", + " 105.0\n", " \n", " \n", " TerrainParks\n", - " 4\n", + " 4.0\n", " \n", " \n", " LongestRun_mi\n", @@ -234,35 +342,35 @@ " \n", " \n", " SkiableTerrain_ac\n", - " 3000\n", + " 3000.0\n", " \n", " \n", " Snow Making_ac\n", - " 600\n", + " 600.0\n", " \n", " \n", " daysOpenLastYear\n", - " 123\n", + " 123.0\n", " \n", " \n", " yearsOpen\n", - " 72\n", + " 72.0\n", " \n", " \n", " averageSnowfall\n", - " 333\n", + " 333.0\n", " \n", " \n", " AdultWeekend\n", - " 81\n", + " 81.0\n", " \n", " \n", " projectedDaysOpen\n", - " 123\n", + " 123.0\n", " \n", " \n", " NightSkiing_ac\n", - " 600\n", + " 600.0\n", " \n", " \n", " resorts_per_state\n", @@ -270,11 +378,11 @@ " \n", " \n", " resorts_per_100kcapita\n", - " 1.12278\n", + " 1.122778\n", " \n", " \n", " resorts_per_100ksq_mile\n", - " 8.16104\n", + " 8.161045\n", " \n", " \n", " resort_skiable_area_ac_state_ratio\n", @@ -298,11 +406,11 @@ " \n", " \n", " total_chairs_skiable_ratio\n", - " 0.00466667\n", + " 0.004667\n", " \n", " \n", " fastQuads_runs_ratio\n", - " 0.0285714\n", + " 0.028571\n", " \n", " \n", " fastQuads_skiable_ratio\n", @@ -328,31 +436,31 @@ "double 0\n", "surface 3\n", "total_chairs 14\n", - "Runs 105\n", - "TerrainParks 4\n", + "Runs 105.0\n", + "TerrainParks 4.0\n", "LongestRun_mi 3.3\n", - "SkiableTerrain_ac 3000\n", - "Snow Making_ac 600\n", - "daysOpenLastYear 123\n", - "yearsOpen 72\n", - "averageSnowfall 333\n", - "AdultWeekend 81\n", - "projectedDaysOpen 123\n", - "NightSkiing_ac 600\n", + "SkiableTerrain_ac 3000.0\n", + "Snow Making_ac 600.0\n", + "daysOpenLastYear 123.0\n", + "yearsOpen 72.0\n", + "averageSnowfall 333.0\n", + "AdultWeekend 81.0\n", + "projectedDaysOpen 123.0\n", + "NightSkiing_ac 600.0\n", "resorts_per_state 12\n", - "resorts_per_100kcapita 1.12278\n", - "resorts_per_100ksq_mile 8.16104\n", + "resorts_per_100kcapita 1.122778\n", + "resorts_per_100ksq_mile 8.161045\n", "resort_skiable_area_ac_state_ratio 0.140121\n", "resort_days_open_state_ratio 0.129338\n", "resort_terrain_park_state_ratio 0.148148\n", "resort_night_skiing_state_ratio 0.84507\n", "total_chairs_runs_ratio 0.133333\n", - "total_chairs_skiable_ratio 0.00466667\n", - "fastQuads_runs_ratio 0.0285714\n", + "total_chairs_skiable_ratio 0.004667\n", + "fastQuads_runs_ratio 0.028571\n", "fastQuads_skiable_ratio 0.001" ] }, - "execution_count": 5, + "execution_count": 11, "metadata": {}, "output_type": "execute_result" } @@ -377,7 +485,7 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 15, "metadata": {}, "outputs": [], "source": [ @@ -387,7 +495,130 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 17, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " summit_elev vertical_drop base_elev trams fastSixes fastQuads quad \\\n", + "0 3939 2500 250 1 0 2 2 \n", + "1 2600 1540 1200 0 0 0 0 \n", + "2 2090 294 1796 0 0 0 0 \n", + "3 11500 2300 9200 0 1 0 2 \n", + "4 11100 1800 9200 0 0 1 2 \n", + ".. ... ... ... ... ... ... ... \n", + "272 8000 640 7400 0 0 0 0 \n", + "273 7428 810 6619 0 0 0 0 \n", + "274 7808 1571 6237 0 0 0 1 \n", + "275 9663 990 8798 0 0 0 0 \n", + "276 9500 1100 8400 0 0 0 0 \n", + "\n", + " triple double surface ... resorts_per_100kcapita \\\n", + "0 0 0 2 ... 0.410091 \n", + "1 0 4 0 ... 0.410091 \n", + "2 1 0 2 ... 0.410091 \n", + "3 2 1 2 ... 0.027477 \n", + "4 3 1 0 ... 0.027477 \n", + ".. ... ... ... ... ... \n", + "272 0 1 1 ... 1.382268 \n", + "273 1 1 1 ... 1.382268 \n", + "274 1 1 0 ... 1.382268 \n", + "275 1 3 1 ... 1.382268 \n", + "276 2 0 0 ... 1.382268 \n", + "\n", + " resorts_per_100ksq_mile resort_skiable_area_ac_state_ratio \\\n", + "0 0.450867 0.706140 \n", + "1 0.450867 0.280702 \n", + "2 0.450867 0.013158 \n", + "3 1.754540 0.492708 \n", + "4 1.754540 0.507292 \n", + ".. ... ... \n", + "272 8.178872 0.014104 \n", + "273 8.178872 0.028208 \n", + "274 8.178872 0.061321 \n", + "275 8.178872 0.011498 \n", + "276 8.178872 0.056722 \n", + "\n", + " resort_days_open_state_ratio resort_terrain_park_state_ratio \\\n", + "0 0.434783 0.500000 \n", + "1 0.130435 0.250000 \n", + "2 0.434783 0.250000 \n", + "3 0.514768 0.666667 \n", + "4 0.485232 0.333333 \n", + ".. ... ... \n", + "272 0.168994 0.071429 \n", + "273 0.085196 0.071429 \n", + "274 0.168994 0.142857 \n", + "275 0.182961 0.142857 \n", + "276 NaN NaN \n", + "\n", + " resort_night_skiing_state_ratio total_chairs_runs_ratio \\\n", + "0 0.948276 0.092105 \n", + "1 NaN 0.111111 \n", + "2 0.051724 0.230769 \n", + "3 NaN 0.145455 \n", + "4 1.000000 0.107692 \n", + ".. ... ... \n", + "272 NaN 0.071429 \n", + "273 NaN 0.062500 \n", + "274 1.000000 0.093750 \n", + "275 NaN 0.151515 \n", + "276 NaN 0.080000 \n", + "\n", + " total_chairs_skiable_ratio fastQuads_runs_ratio fastQuads_skiable_ratio \n", + "0 0.004348 0.026316 0.001242 \n", + "1 0.006250 0.000000 0.000000 \n", + "2 0.100000 0.000000 0.000000 \n", + "3 0.010296 0.000000 0.000000 \n", + "4 0.008750 0.015385 0.001250 \n", + ".. ... ... ... \n", + "272 0.021739 0.000000 0.000000 \n", + "273 0.016304 0.000000 0.000000 \n", + "274 0.007500 0.000000 0.000000 \n", + "275 0.066667 0.000000 0.000000 \n", + "276 0.005405 0.000000 0.000000 \n", + "\n", + "[276 rows x 32 columns]\n" + ] + } + ], + "source": [ + "print(X)" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "0 85.0\n", + "1 53.0\n", + "2 34.0\n", + "3 89.0\n", + "4 78.0\n", + " ... \n", + "272 48.0\n", + "273 42.0\n", + "274 59.0\n", + "275 49.0\n", + "276 49.0\n", + "Name: AdultWeekend, Length: 276, dtype: float64\n" + ] + } + ], + "source": [ + "print(y)" + ] + }, + { + "cell_type": "code", + "execution_count": 21, "metadata": {}, "outputs": [ { @@ -396,7 +627,7 @@ "(276, 276)" ] }, - "execution_count": 7, + "execution_count": 21, "metadata": {}, "output_type": "execute_result" } @@ -407,11 +638,424 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": 23, "metadata": {}, "outputs": [ { "data": { + "text/html": [ + "
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In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook.
On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.
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summit_elevvertical_dropbase_elevtramsfastSixesfastQuadsquadtripledoublesurface...resorts_per_100kcapitaresorts_per_100ksq_mileresort_skiable_area_ac_state_ratioresort_days_open_state_ratioresort_terrain_park_state_ratioresort_night_skiing_state_ratiototal_chairs_runs_ratiototal_chairs_skiable_ratiofastQuads_runs_ratiofastQuads_skiable_ratio
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" + ], + "text/plain": [ + " summit_elev vertical_drop base_elev trams fastSixes fastQuads quad \\\n", + "124 6817 2353 4464 0 0 3 2 \n", + "\n", + " triple double surface ... resorts_per_100kcapita \\\n", + "124 6 0 3 ... 1.122778 \n", + "\n", + " resorts_per_100ksq_mile resort_skiable_area_ac_state_ratio \\\n", + "124 8.161045 0.140121 \n", + "\n", + " resort_days_open_state_ratio resort_terrain_park_state_ratio \\\n", + "124 0.129338 0.148148 \n", + "\n", + " resort_night_skiing_state_ratio total_chairs_runs_ratio \\\n", + "124 0.84507 0.133333 \n", + "\n", + " total_chairs_skiable_ratio fastQuads_runs_ratio fastQuads_skiable_ratio \n", + "124 0.004667 0.028571 0.001 \n", + "\n", + "[1 rows x 32 columns]" + ] + }, + "execution_count": 120, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "X_bm" + ] + }, + { + "cell_type": "code", + "execution_count": 122, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "81.0" + ] + }, + "execution_count": 122, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "y_bm" + ] + }, + { + "cell_type": "code", + "execution_count": 39, "metadata": {}, "outputs": [], "source": [ @@ -514,7 +1288,27 @@ }, { "cell_type": "code", - "execution_count": 14, + "execution_count": 41, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "95.86942028985507" + ] + }, + "execution_count": 41, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "bm_pred" + ] + }, + { + "cell_type": "code", + "execution_count": 43, "metadata": {}, "outputs": [], "source": [ @@ -523,7 +1317,27 @@ }, { "cell_type": "code", - "execution_count": 15, + "execution_count": 124, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "81.0" + ] + }, + "execution_count": 124, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "y_bm" + ] + }, + { + "cell_type": "code", + "execution_count": 60, "metadata": {}, "outputs": [ { @@ -586,7 +1400,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 106, "metadata": {}, "outputs": [], "source": [ @@ -621,7 +1435,7 @@ " ski_x = ski_data.loc[ski_data.state == state, feat_name]\n", " ski_x = ski_x[np.isfinite(ski_x)]\n", " plt.hist(ski_x, bins=30)\n", - " plt.___(x=big_mountain[feat_name].___, c=___, ls=___, alpha=0.8, label=___)\n", + " plt.axvline(x=big_mountain[feat_name].values, c='r', ls='--', alpha=0.8, label='Big Mountain')\n", " plt.xlabel(description)\n", " plt.ylabel('frequency')\n", " plt.title(description + ' distribution for resorts in market share')\n", @@ -644,19 +1458,17 @@ }, { "cell_type": "code", - "execution_count": 17, + "execution_count": 108, "metadata": {}, "outputs": [ { "data": { - "image/png": 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xFi5cyMyZM1mwYEGnQ1ExevRoxo4dyzLLLNP0PiZekiQNAzNnzmSllVZi3LhxRESnwxnxMpN58+Yxc+ZMNtpoo6b3s6tRkqRhYMGCBay++uomXUNERLD66qsvdgukiZckScOESdfQsiSvh4mXpMYmTqwekka0UaNGMWHCBDbbbDO22GIL/vznPwPw4IMPsu+++y5WWTvttBMbbLABtfeM3nvvvVlxxRUHNWaAadOmPRdrf84//3xOOOGEQT9+Lcd4SWrskEM6HYGkIWD55Zfn+uuvB+Ciiy7imGOO4Y9//CPrrrsu55577mKXN2bMGP70pz8xadIk5s+fz6xZswY7ZKBKvFZccUW23Xbbfrfbc8892XPPPVsSQw9bvCRJ0mJ77LHHWHXVVQGYMWMGm266KQBPPvkkb3/72xk/fjz7778/W2+9dd27zxxwwAGcddZZAJx33nnss88+z63LTD7xiU+w6aab8prXvIazzz4bqJKoPfbY47ntDj/8cKZOnQpUd7o57rjj2GKLLXjNa17DbbfdxowZMzj55JP5+te/zoQJE7jiiiv49a9/zdZbb83mm2/OrrvuyuzZswGYOnUqh5cLRh988MEceeSRbLvttrzkJS9ZosSyL7Z4SWrsyCOr55NO6mwckjrqqaeeYsKECSxYsIBZs2Zx2WWXvWCb73znO6y66qrceOON3HzzzUyYMKFuebvssgvve9/7ePbZZznrrLM49dRTOf7444EqEbv++uu54YYbeOihh3jta1/LDjvs0DDGNdZYg+uuu47vfOc7fOUrX+G0007jsMMOY8UVV+Soo44C4JFHHuEvf/kLEcFpp53GiSeeyFe/+tUXlDVr1iymT5/Obbfdxp577rnY3al9MfFSy4yb8tsBlzHjhN0HIRINmNcNkoaeQw994bI3vAH226/6zPb8w1TrrW+tHvPnv/CiyKee2vCQtV2NV155Je9617u4+eabF9lm+vTpfPjDHwZg0003Zfz48XXLGzVqFJMmTeLss8/mqaeeYty4cYuUc+CBBzJq1CjWXnttdtxxR66++mpWXnnlfmPsaTXbcsstOe+88/rcZubMmey///7MmjWLp59+uu7lIPbee2+WWmopNtlkk+daxQaqpV2NETEjIm6KiOsj4pqybLWIuCQi7izPq7YyBkmSNPi22WYbHnroIebOnbvI8trB8s044IADOOKII3j729/eVDlLL700//nPf56b7305h+WWWw6okrpnnnmmzzKOOOIIDj/8cG666SZOOeWUupeE6Cmrv3gWVztavHbOzIdq5qcAl2bmCRExpcx/sg1xSJLUPfproRo9uv/1Y8Y01cLVn9tuu41nn32W1VdfnSeffPK55ZMmTeKcc85h55135pZbbuGmm27qt5ztt9+eY445hgMPPHCR5TvssAOnnHIKkydP5uGHH+byyy/ny1/+MgsXLuSWW27h3//+NwsWLODSSy9l0qRJ/R5jpZVW4rHHHntu/tFHH2W99dYD4PTTT1/cqg9IJ7oa9wJ2KtOnA9Mw8ZIkacjrGeMFVQvQ6aefzqhRoxbZ5oMf/CCTJ09m/PjxbL755owfP55VVlmlbpkR8dzYq1pve9vbuPLKK9lss82ICE488URe/OIXAzw3eP/lL385m2++ecO43/rWt7Lvvvvyq1/9im9961t89rOfZb/99mO99dbjda97Hffcc8/inIYBicFqOuuz8Ih7gEeABE7JzFMjYn5mjqnZ5pHM7Le7cauttsp6v4jQ0OUYry5yxhnV8zvf2dk4pBHs1ltv5VWvelWnw2jo2WefZeHChYwePZp//OMf7LLLLtxxxx0su+yynQ6tJfp6XSLi2szcqq/tW93itV1mPhgRawGXRMRtze4YEYcChwJssMEGrYpPUjNMuCQ16cknn2TnnXdm4cKFZCbf/e53uzbpWhItTbwy88HyPCcifgFMBGZHxDqZOSsi1gHm1Nn3VOBUqFq8WhmnJEkaHCuttFLd63aphb9qjIgVImKlnmlgN+Bm4HxgctlsMvCrVsUgaZAcemjfP12XJC2WVrZ4rQ38otxAcmngJ5l5YURcDZwTEe8F7gP2a2EMkiR1jcz0RtlDyJKMk29Z4pWZdwOb9bF8HrBLq44rSVI3Gj16NPPmzWP11Vc3+RoCMpN58+YxevToxdrPK9dLkjQMjB07lpkzZ77ggqXqnNGjRzN27NjF2sfES5KkYWCZZZape2sbDR8mXpIae8MbOh2BJHUFEy9Jje3nb2AkaTC09CbZkrrEggXVQ5I0ILZ4SWrsyCOr5wHeVFeSRjpbvCRJktrExEuSJKlNTLwkSZLaxMRLkiSpTRxcL6mxt7610xFIUlcw8ZLUmImXJA0KuxolNTZ/fvWQJA2ILV6SGjv66OrZ63hJ0oDY4iVJktQmJl6SJEltYuIlSZLUJiZekiRJbeLgekmN7btvpyOQpK5g4iWpsd1263QEktQV7GqU1Njs2dVDkjQgtnhJauwzn6mevY6XJA2ILV6SJEltYuIlSZLUJiZekiRJbWLiJUmS1CYOrpfU2EEHdToCSeoKJl6SGtthh05HIEldwa5GSY3de2/1kCQNiC1ekhr74herZ6/jJUkDYouXJElSm5h4SZIktYmJlyRJUpuYeEmSJLWJg+slNXbIIZ2OQJK6gomXpMYmTux0BJLUFexqlNTYHXdUD0nSgNjiJamxr3ylevY6XpI0ILZ4SZIktYmJlyRJUpuYeEmSJLWJiZckSVKbtHxwfUSMAq4BHsjMPSJiNeBsYBwwA3h7Zj7S6jgkDcDhh3c6AknqCu1o8fowcGvN/BTg0sx8OXBpmZc0lI0fXz0kSQPS0sQrIsYCuwOn1SzeCzi9TJ8O7N3KGCQNghtvrB6SpAFpdYvXN4Cjgf/ULFs7M2cBlOe1WhyDpIH69rerhyRpQFqWeEXEHsCczLx2Cfc/NCKuiYhr5s6dO8jRSZIktV8rW7y2A/aMiBnAWcDrI+JMYHZErANQnuf0tXNmnpqZW2XmVmuuuWYLw5QkSWqPliVemXlMZo7NzHHAAcBlmXkQcD4wuWw2GfhVq2KQJEkaSjpxHa8TgDdExJ3AG8q8JElS12vLTbIzcxowrUzPA3Zpx3ElDZKjjup0BJLUFdqSeEka5jbeuNMRSFJX8JZBkhq76qrqIUkaEFu8JDV2WrkG8sSJnY1DkoY5W7wkSZLaxMRLkiSpTUy8JEmS2sTES5IkqU0cXC+psWOP7XQEktQVTLwkNbbhhp2OQJK6gl2Nkhq7/PLqIUkaEFu81PXGTfntgMuYccLugxDJMHbmmdXzDjt0Ng5JGuZs8ZIkSWoTEy9JkqQ2MfGSJElqExMvSZKkNnFwvaTGjj++0xFIUlcw8ZLU2NprdzoCSeoKdjVKauzii6uHJGlAbPGS1Ni551bPu+3W2TgkaZizxUuSJKlNTLwkSZLaxMRLkiSpTUy8JEmS2sTB9ZIaO/HETkcgSV3BxEtSY2PGdDoCSeoKdjVKauzXv64ekqQBMfGS1JiJlyQNChMvSZKkNjHxkiRJahMTL0mSpDYx8ZIkSWoTLychqbGTTup0BJLUFUy8JDU2enSnI5CkrmBXo6TGfvaz6iFJGhATL0mNXXJJ9ZAkDYiJlyRJUpuYeEmSJLWJiZckSVKbmHhJkiS1ScPLSUTENcAPgZ9k5iOtD0nSkHPqqZ2OQJK6QjMtXgcA6wJXR8RZEfHGiIgWxyVJktR1GiZemXlXZh4LbAz8BPgBcF9EfC4iVmt1gJKGgDPOqB6SpAFpaoxXRIwHvgp8Gfg5sC/wGHBZP/uMjoirIuKGiPh7RHyuLF8tIi6JiDvL86oDr4aklrriiuohSRqQZsZ4XQvMB74PTMnMf5dVf42I7frZ9d/A6zPzXxGxDDA9Ii4A9gEuzcwTImIKMAX45IBqIUmSNAw0c6/G/TLz7r5WZOY+9XbKzAT+VWaXKY8E9gJ2KstPB6Zh4iVJkkaAZroaD4mIMT0zEbFqRHyhmcIjYlREXA/MAS7JzL8Ca2fmLIDyvNYSxC1JkjTsNJN4vTkz5/fMlEtKvKWZwjPz2cycAIwFJkbEps0GFhGHRsQ1EXHN3Llzm91NUiuMHl09JEkD0kxX46iIWK5nbFdELA8stzgHycz5ETENeBMwOyLWycxZEbEOVWtYX/ucCpwKsNVWW+XiHE/SIDvppE5HIEldoZkWrzOBSyPivRHxHuASqrFZ/YqINXu6KEuytitwG3A+MLlsNhn41ZIELkmSNNw0bPHKzBMj4iZgFyCA4zPzoibKXgc4PSJGUSV452TmbyLiSuCciHgvcB+w35KHL6ktTjutej7kkM7GIUnDXDNdjWTmBcAFi1NwZt4IbN7H8nlUSZyk4eKqq6pnEy9JGpCGXY0RsU+52OmjEfFYRDweEY+1IzhJkqRu0kyL14nAWzPz1lYHI0mS1M2aGVw/26RLkiRp4Jpp8bomIs4Gfkl1GyAAMvO8lkUlaWgZM6bxNpKkhppJvFYGngR2q1mWgImXNFKceGKnI5CkrtDM5STe3Y5AJEmSul0zv2rcOCIujYiby/z4iPh060OTNGR8+9vVQ5I0IM0Mrv8ecAywEJ67PtcBrQxK0hBz443VQ5I0IM0kXi/KzKt6LXumFcFIkiR1s2YSr4ci4qVUA+qJiH2BWS2NSpIkqQs186vGDwGnAq+MiAeAe4CDWhqVJElSF2rmV413A7tGxArAUpn5eOvDkjSkrL12pyOQpK7QMPGKiP/uNQ9AZn6+RTFJGmqOP77TEUhSV2imq/GJmunRwB6AtxCSJElaTM10NX61dj4ivgKc37KIJA09Xy1fAx//eGfjkKRhrpkWr95eBLxksAORNITdfnunI5CkrtDMGK+bKJeSAEYBawKO75IkSVpMzbR47VEz/QwwOzO9gKokSdJiaibx6n35iJV7ftkIkJkPD2pEkiRJXaqZxOs6YH3gESCAMcB9ZV3ieC+p+224YacjkKSu0EzidSFwfmb+DiAi3gzsmpn+vEkaKY49ttMRSFJXaOZeja/tSboAMvMCYMfWhSRJktSdmmnxeigiPg2cSdW1eBAwr6VRSRpavvjF6tmWL0kakGZavA6kuoTEL8pjzbJM0khx773VQ5I0IM1cuf5h4MMRsWJm/qsNMUmSJHWlhi1eEbFtRNwC3FLmN4uI77Q8MkmSpC7TTFfj14E3UsZ1ZeYNwA6tDEqSJKkbNXWvxsy8v/aiqcCzrQlH0pD0ild0OgJJ6grNJF73R8S2QEbEssCRwK2tDUvSkPJxL9snSYOhma7Gw4APAesBM4EJZV6SJEmLod8Wr4gYBXwjM9/RpngkDUWf+Uz1fPzxnY1Dkoa5fhOvzHw2ItaMiGUz8+l2BSVpiJk9u9MRSFJXaGaM1wzgTxFxPvBEz8LM/FqrgpIkSepGdcd4RcQZZXJ/4Ddl25VqHpIkSVoM/bV4bRkRGwL3Ad9qUzySJEldq7/E62TgQmAj4Jqa5UF1s+yXtDAuaUgZN+W3A9p/xgm7D1IkHTJ+fKcjkKSuUDfxysyTgJMi4ruZ+YE2xiRpqDn88E5HIEldoeF1vEy6JEmSBkczF1CVNNIdfXT1kCQNSFP3apQ0ws2f3+kIJKkrmHhJbTDQwfkwOAP0lzSOL111HwCfmvLb4f9DAUnqoJZ1NUbE+hHxh4i4NSL+HhEfLstXi4hLIuLO8rxqq2KQJEkaSlo5xusZ4OOZ+SrgdcCHImITYApwaWa+HLi0zEuSJHW9lnU1ZuYsYFaZfjwibgXWA/YCdiqbnQ5MAz7ZqjgkDdwN62zc6RAkqSu0ZYxXRIwDNgf+CqxdkjIyc1ZErNWOGCQtubM3e2OnQ5CkrtDyxCsiVgR+DnwkMx+LiGb3OxQ4FGCDDTZoXYDq02AMBpckSYtq6XW8ImIZqqTrx5l5Xlk8OyLWKevXAeb0tW9mnpqZW2XmVmuuuWYrw5TUwHG/P4Xjfn9Kp8OQpGGvlb9qDOD7wK2Z+bWaVecDk8v0ZOBXrYpB0uBY7pmnWe6ZpzsdhiQNe63satwOeCdwU0RcX5Z9CjgBOCci3gvcB+zXwhgkSZKGjFb+qnE6UG9A1y6tOq4kSdJQ5b0aJUmS2k7silgAABFXSURBVMRbBklq6Oqxr+50CJLUFUy8JDX0i01f3+kQJKkr2NUoSZLUJiZekhr60oXf4ksXfqvTYUjSsGdXozRMeDcBSRr+bPGSJElqExMvSZKkNjHxkiRJahPHeElqaPq4zTsdgiR1BRMvSQ397pWTOh2CJHUFuxolNbTcM0+z3DNPdzoMSRr2TLwkNXTc70/huN+f0ukwJGnYM/GSJElqExMvSZKkNjHxkiRJahMTL0mSpDbxchKSGrr0ZRM7HYIkdQUTL0kNXfqyrTsdgiR1BbsaJTW08oJ/sfKCf3U6DEka9ky8JDU0ZdoPmTLth50OQ5KGPRMvSZKkNjHxkiRJahMTL0mSpDYx8ZIkSWoTLychqaELXrFdp0OQpK5g4iWpoSs22mJQyxs35bcDLmPGCbsPQiSS1F52NUpqaI0nHmGNJx7pdBiSNOyZeElq6GNXnMnHrjiz02FI0rBn4iVJktQmJl6SJElt4uB6DWmDMQhbkqShwhYvSZKkNrHFS1JDv3z1zp0OQZK6gomXpIauWn/TTocgSV3BrkZJDa336BzWe3ROp8OQpGHPxEtSQx+68mw+dOXZnQ5DkoY9Ey9JkqQ2MfGSJElqExMvSZKkNjHxkiRJahMvJ9GFvNq7BtvZ43d7btr3lyQtuZa1eEXEDyJiTkTcXLNstYi4JCLuLM+rtur4kgbPDeu+ghvWfUWnw5CkYa+VXY1TgTf1WjYFuDQzXw5cWuYlDXEbPfwAGz38QKfDkKRhr2WJV2ZeDjzca/FewOll+nRg71YdX9Lged9V5/G+q87rdBiSNOy1e3D92pk5C6A8r9Xm40uSJHXMkP1VY0QcGhHXRMQ1c+fO7XQ4kiRJA9buxGt2RKwDUJ7r3vwtM0/NzK0yc6s111yzbQFKkiS1SrsTr/OByWV6MvCrNh9fkiSpY1p2Ha+I+CmwE7BGRMwEjgNOAM6JiPcC9wH7ter4kgbPj7bYo9MhSFJXaFnilZkH1lm1S6uOKak1bltro06HIEldYcgOrpc0dLxyzj28cs49nQ5DkoY9Ey9JDb3rut/wrut+0+kwJGnYM/GSJElqExMvSZKkNjHxkiRJahMTL0mSpDZp2eUkJHWP703cp9MhSFJXMPGS1NA9q63X6RAkqSvY1Sipoc0evJ3NHry902FI0rBni5ekhva/8WIAblj3FR2ORJKGN1u8JEmS2sTES5IkqU1MvCRJktrExEuSJKlNHFwvqaH/22b/TocgSV3BxGuIGTflt50OQXqBB1ZZq9MhtMRgfN5mnLD7IEQiaaSwq1FSQxPvv5mJ99/c6TAkadizxUtSQ3v//Q8AXLX+ph2ORJKGN1u8JEmS2sTES5IkqU3sapQ0LPlDlEX5QwFpeLDFS5IkqU1s8ZLU0Ne2P6jTIUhSVzDxktTQQyus2ukQJKkr2NUoqaHt77mO7e+5rtNhSNKwZ4tX4cBUqb433/4nAK7YaIsORyJJw5stXpIkSW1i4iVJktQmJl6SJEltYuIlSZLUJg6ul9TQCTu9u9MhSFJXMPGS1NBjo1fsdAiS1BXsapTU0C53/ZVd7vprp8OQpGHPxEtSQ7vcdRW73HVVp8OQpGHPxEuSJKlNTLwkSZLaxMH1g2gwbjskScOVt14bmnxdhhZbvCRJktrEFi9JDX1u1/d3OgRJ6gomXpIa+vfSy3Y6BEnqCnY1SmroLbdN5y23Te90GJI07NniJamhSTP+BsDvXjmpw5EMPf6oZnANlfPpYPLB52tb6UiLV0S8KSJuj4i7ImJKJ2KQJElqt7YnXhExCvg/4M3AJsCBEbFJu+OQJElqt060eE0E7srMuzPzaeAsYK8OxCFJktRWnUi81gPur5mfWZZJkiR1tcjM9h4wYj/gjZl5SJl/JzAxM4/otd2hwKFl9hXA7W0NtL41gIc6HUQHjNR6g3UfiXUfqfWGkVv3kVpvsO6tqPuGmblmXys68avGmcD6NfNjgQd7b5SZpwKntiuoZkXENZm5VafjaLeRWm+w7iOx7iO13jBy6z5S6w3Wvd1170RX49XAyyNio4hYFjgAOL8DcUiSJLVV21u8MvOZiDgcuAgYBfwgM//e7jgkSZLarSMXUM3M3wG/68SxB8GQ6/5sk5Fab7DuI9FIrTeM3LqP1HqDdW+rtg+ulyRJGqm8V6MkSVKbmHjVERHrR8QfIuLWiPh7RHy4LF8tIi6JiDvL86qdjrUVImJURPwtIn5T5kdKvcdExLkRcVt57bcZQXX/aHmv3xwRP42I0d1a94j4QUTMiYiba5bVrWtEHFNucXZ7RLyxM1EPXJ16f7m832+MiF9ExJiadV1Rb+i77jXrjoqIjIg1apZ1fd0j4ohSv79HxIk1y7ui7nXe7xMi4i8RcX1EXBMRE2vWtaXeJl71PQN8PDNfBbwO+FC5tdEU4NLMfDlwaZnvRh8Gbq2ZHyn1/iZwYWa+EtiM6hx0fd0jYj3gSGCrzNyU6ocvB9C9dZ8KvKnXsj7rWj73BwCvLvt8p9z6bDiaygvrfQmwaWaOB+4AjoGuqzf0XXciYn3gDcB9Ncu6vu4RsTPVXWPGZ+arga+U5d1U96m88DU/EfhcZk4A/rvMt7XeJl51ZOaszLyuTD9O9Qd4Pao36ulls9OBvTsTYetExFhgd+C0msUjod4rAzsA3wfIzKczcz4joO7F0sDyEbE08CKq6+t1Zd0z83Lg4V6L69V1L+CszPx3Zt4D3EV167Nhp696Z+bFmflMmf0L1bUVoYvqDXVfc4CvA0cDtQOeR0LdPwCckJn/LtvMKcu7pu516p3AymV6FZ6/jmjb6m3i1YSIGAdsDvwVWDszZ0GVnAFrdS6ylvkG1RfRf2qWjYR6vwSYC/ywdLOeFhErMALqnpkPUP3Hex8wC3g0My9mBNS9Rr26jqTbnL0HuKBMd329I2JP4IHMvKHXqq6vO7AxsH1E/DUi/hgRry3Lu73uHwG+HBH3U33nHVOWt63eJl4NRMSKwM+Bj2TmY52Op9UiYg9gTmZe2+lYOmBpYAvgu5m5OfAE3dO11q8ynmkvYCNgXWCFiDios1ENGdHHsq77OXhEHEs1xOLHPYv62Kxr6h0RLwKOpepuesHqPpZ1Td2LpYFVqYbSfAI4JyKC7q/7B4CPZub6wEcpPRy0sd4mXv2IiGWokq4fZ+Z5ZfHsiFinrF8HmFNv/2FqO2DPiJgBnAW8PiLOpPvrDdV/ODMz869l/lyqRGwk1H1X4J7MnJuZC4HzgG0ZGXXvUa+uTd3mbDiLiMnAHsA78vlrDHV7vV9K9Y/GDeX7bixwXUS8mO6vO1R1PC8rV1H1cKxB99d9MtX3G8DPeL47sW31NvGqo2T+3wduzcyv1aw6n+qFozz/qt2xtVJmHpOZYzNzHNVAw8sy8yC6vN4AmflP4P6IeEVZtAtwCyOg7lRdjK+LiBeV9/4uVOMaR0Lde9Sr6/nAARGxXERsBLwcuKoD8bVERLwJ+CSwZ2Y+WbOqq+udmTdl5lqZOa58380EtijfA11d9+KXwOsBImJjYFmqm0V3e90fBHYs068H7izT7at3Zvro4wFMompmvBG4vjzeAqxO9YunO8vzap2OtYXnYCfgN2V6RNQbmABcU173X1I1xY+Uun8OuA24GTgDWK5b6w78lGos20KqP7jv7a+uVF1S/wBuB97c6fgHud53UY1t6fmeO7nb6l2v7r3WzwDWGCl1p0q0ziyf9+uA13db3evUexJwLXAD1bjtLdtdb69cL0mS1CZ2NUqSJLWJiZckSVKbmHhJkiS1iYmXJElSm5h4SZIktYmJl9SlIuJtEZER8cp+tpkWEVs1KOezEXFUmT44ItYd7FjrHPfgiPh2C8qdERFr9LH8U73m/9ygnIbnrmbbcRHx/xYv0j7LOa3czHeg5awTEb/ptezgcnu02mVnRcTLB3o8Sc8z8ZK614HAdKoL4Q6Wg6luKdSNFkm8MnPbQSx7HDCgxCsiRmXmIZl5yyDE8zHgez3lRsQpwJeAC8udKnp8l+q+rZIGiYmX1IXKPUa3o7pg4AE1y5cvrRg3RsTZwPI16/5VM71vREztVea+wFbAjyPi+oio3XetiLi2TG9WWto2KPP/KFfEXzMifh4RV5fHdmX9ChHxg7LsbxGxVx/12T0iroyINSJitzJ9XUT8rNS1pyXrc2X5TT0tfRGxekRcXMo+hT7uyRYRJwDLl3r9uI/zcXQp84aybe2+S0XE6RHxhZLEfLnU5caIeH/Z7ASqGxJfHxEf7bX/ThFxeUT8IiJuiYiTI2Kpnhgi4vMR8Vdgm9pWtoh4U6nrDRFxabPnsvgv4MIy/Uaq2+d8HngT8L81210B7BoRS9cpR9JiMvGSutPewIWZeQfwcERsUZZ/AHgyM8cDXwS2bLbAzDyX6qr+78jMCZn5VM26OcDoiFgZ2L5st31EbEh10/UngW8CX8/M11L94T+t7H4s1a2pXgvsDHw5IlboKTsi3kZ1s/K3lEWfBnbNzC3KcT5WE+ZDZfl3gaPKsuOA6Vnd+Px8YIM+6jYFeKrU6x216yLizVTnc+vM3Aw4sWb10lQ3lb4jMz9Nleg+WuryWuB95fYjU4ArSvlf7+P0TgQ+DryGKgnapyxfAbg5M7fOzOk1Ma1J1WL1XyWm/Zo5l2XfjYBHMvPfZdHTVHdoWK6ci5tqzst/qK5sv1kfMUtaAv4XI3WnA4FvlOmzyvx1wA7ASQCZeWNE3DiIx/wzVSvbDlTdVm+ial26oqzfFdgk4rkGp5UjYiVgN6obs/ckSqN5PjnamaqVbbfMfCwi9gA2Af5UylkWuLImhp6b317L88nLDj3TmfnbiHhkMeu1K/DDkjySmQ/XrDsFOCczv1jmdwPGl9ZBgFWo7vn2dINjXJWZdwNExE+pbmtyLvAs8PM+tn8dcHlm3tMrpnrn8taafdcB5vbMZObvI+JnwEeB90TEyZn53Zrt51B1L1/boA6SmmDiJXWZiFid6uavm0ZEAqOAjIiesTr17hNWu3z0Ehz6CqrWrg2pbjD9yVJmzyDupYBtalvKSrxB1XJze6/lWwN3Ay8BNqZq3Qrgksw8sE4MPa04z7Lo99tA7o0W/ez/Z2DniPhqZi4o2x6RmRctUkDETg2O0bv8nvkFmfnsYsTU57ns5Sl6vb6ZeUJE/JPqfJ8UETdnZk/CPLrsI2kQ2NUodZ99gR9l5oaZOS4z1wfuoWpFuRx4B0BEbAqMr9lvdkS8qowveludsh8HVqqz7nLgIODO0kX1MFX34J/K+ouBw3s2jogJZfIi4IiSgBERm9eUeS9Va9WPIuLVwF+A7SLiZWXbF0XExv2ejUXr/GaqbrW+LIyIZfpYfjFVS9CLShmr1az7PvA74GdlHNRFwAd6yomIjUtXX3/nDWBiRGxUzv3+VD+K6M+VwI6l27A2pv7OZY87qAb7U7bZsGecHNXNsh/sFevGwN8bxCOpSSZeUvc5EPhFr2U/p/pV3XeBFUsX49HAVTXbTKFqnboMmFWn7KnAydFrcD1AZs4ok5eX5+nA/Mzs6do7EtiqDDq/BTisLD8eWAa4MSJuLvO15d5OlTj9DFiZ6peVPy11+AtQ93IZxeeAHSLiOqquuPvqbHdqieHHvY5/IdXYsGsi4nqeHzvWs/5rVN24Z1CNW7sFuK7U5RSqlrcbgWfKQPhFBtcXV1INwL+ZKknu/fotIjPnAocC50XEDcDZZVW/57Ls+wTwj57klarr8QKqX3VeQNW1eBFARKxNNfat3vtB0mKKzIG0wEuSBqJ0Qx6VmXu08ZhvA7YsPwjoWXYwMK0mgaYkiY9l5vfbFZvU7RzjJUkjTGb+oowFrHU9ML/XsvlULXmSBoktXpIkSW3iGC9JkqQ2MfGSJElqExMvSZKkNjHxkiRJahMTL0mSpDYx8ZIkSWqT/w/NTD/Qd4a+5wAAAABJRU5ErkJggg==\n", 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", 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nvwWS9ibdRtOWuvtAGZycNeZw0lNuz0bEPysNcCbpy/9fpJutjyDV2BxMoUYhIp4gnfj+RnqKr+57XSJiKunk81SuXt2ozqi3ki6zPFvoFumeo4rPk3bSKTmuy8mXySLiKtKlr0skzSX9Mtq7RjzPkhK0/5Z0ZKPT1VG5UfQhUu1Oda1LtZ+RviznSDq2xvDPkU6UU0n3/yz2QtaIuJH0a26ipG1JtTDTgLtz/H8j3bOyJOv+ItKX6CukG2wPbWc5io4FHiY98fUKaV2ukk/0B5BObC+RfsV9m/rH6PmkJLHyGov3gJMlPUd6IOVa0j2RzwBI2pD04+LqJYi1roh4MiLuqzP4aFLNy1Okff0iUlLaiF8BI5XeJXgGaX+5lpQsPEOqeWw3Ec4xTiE9GXsX6UtgS9Llxnp+DNxHqpV8mLSPLtWLZSO94uQK0n2gdffziLiW9JDKzaT98uY2it2UtL++QVqms/MPEGj/WKnnAtL9SP8kXXI/Jsf1Gunhp/GkmqA3SU+3VVReBvuypAdqlHtuLnsSqZZ1Hmm/6AjNKPtXpAeFbpD0OunG8MqPnQ+Qzp1zSbVDt/J+0j6KdP/XTOAq4IR8zqmner2tQroVYSbpfLAzab2XZimOm+rpzyN9392s9Pqput9DpP39UeCfkmYvVthSrp98qfkY0o+fV0m3YUxsZ7K29oHlrvJUg5k1QOnt+zMi4nstEMtPSa9R+WVV/wkRcURVv9OBJyPi7OUY4kot1/JtFhGHlR2Lma1YWu/Fa2bWkIho78b94rjfamYstihJ65EucX2u7FjMbMXjy5pmnUx1rZktX5K+RLr0em1ETCo7HjNb8fiyppmZmVkLcc2ZmZmZWQtxcmZmZmbWQjrVAwG9evWKgQMHlh2GmZmZraieyX9AMWBA2+N1gPvvv392RCz2LzWdKjkbOHAg991X79VLZmZmZu0488z0OWZM02clqeZftnWq5MzMzMxsmSyHpKw9vufMzMzMrIU4OTMzMzOrOO641JTIlzXNrCnmz5/PjBkzmDdvXtmhWNatWzf69evHqquuWnYoZq1rzpyyI3ByZmbNMWPGDHr06MHAgQORVHY4K72I4OWXX2bGjBkMGjSo7HDMrA2+rGlmTTFv3jzWX399J2YtQhLrr7++azLNVgBOzsysaZyYtRZvD7MVQ9OSM0kbS/q7pMckPSrpazXGkaQzJE2TNFnSNoVhe0l6PA87vllxmlnn1aVLF4YMGcJWW23FNttsw5133gnAzJkzGTly5BKVtcsuu9C/f3+K/0d84IEH0r179w6NGeCWW25ZGGtbJk6cyMknn9zh8zdbqQ0blpoSNfOeswXAtyLiAUk9gPsl3RgRUwrj7A1smpvtgN8A20nqApwF7AHMAO6VNLFqWjOzNq2xxho8+OCDAFx//fV85zvf4dZbb2WjjTbi8ssvX+LyevbsyR133MHw4cOZM2cOs2bN6uiQgZScde/enR122KHN8fbff3/233//psRgttI68siyI2hezVlEzIqIB3L768BjQN+q0Q4Azo/kbqCnpA2BYcC0iHgqIt4FLsnjmpktlblz57LuuusCMH36dLbYYgsA3nrrLT772c8yePBgDj74YLbbbru6/zRyyCGHcMkllwBw5ZVX8pnPfGbhsIjg29/+NltssQVbbrkll156KZASrX333XfheGPGjGHChAlA+leTE044gW222YYtt9ySqVOnMn36dMaOHcsvfvELhgwZwm233caf//xntttuO7beemt23313XnjhBQAmTJjAmPzCzCOOOIJjjjmGHXbYgU022WSpkk8zaw3L5WlNSQOBrYF/VA3qCzxX6J6R+9Xqv13zIjSzzujtt99myJAhzJs3j1mzZnHzzTcvNs7ZZ5/Nuuuuy+TJk3nkkUcYMmRI3fJ22203vvSlL/Hee+9xySWXMG7cOE466SQgJWsPPvggDz30ELNnz+bf/u3fGDFiRLsx9urViwceeICzzz6b0047jfHjx3PUUUfRvXt3jj32WABeffVV7r77biQxfvx4TjnlFE4//fTFypo1axa33347U6dOZf/991/iS7dmBhxzTPo844zSQmh6ciapO3AF8PWImFs9uMYk0Ub/WuWPBkYD9O/ffxkibczA4/+6zGVMP/lTHRBJ59Aq67NV4ujURo9evN8ee8BBB8G8ee+fEIv22y81c+Ys/lLIcePanWXxsuZdd93F5z//eR555JFFxrn99tv52tfSLbFbbLEFgwcPrltely5dGD58OJdeeilvv/02AwcOXKScUaNG0aVLF/r06cPOO+/Mvffey9prr91mjJXat2233ZYrr7yy5jgzZszg4IMPZtasWbz77rt1X4Vx4IEHssoqq7D55psvrF0zsyXUAk80N/VpTUmrkhKzP0RErbPODGDjQnc/YGYb/RcTEeMiYmhEDO3de7E/djczA2D77bdn9uzZvPTSS4v0L97g34hDDjmEo48+ms9+9rMNldO1a1f+9a9/LeyufpXF6quvDqTEb8GCBTXLOProoxkzZgwPP/ww55xzTt3XYVTKaiseM2t9Tas5U3pm+3fAYxHx8zqjTQTGSLqEdNnytYiYJeklYFNJg4DngUOA/2hWrGa2HLRV09WtW9vDe/ZsqKasLVOnTuW9995j/fXX56233lrYf/jw4Vx22WXsuuuuTJkyhYcffrjNcnbaaSe+853vMGrUqEX6jxgxgnPOOYfDDz+cV155hUmTJnHqqacyf/58pkyZwjvvvMO8efO46aabGD58eJvz6NGjB3Pnvn+h4bXXXqNv33TL7nnnnbeki25mK5hmXtbcEfgc8LCkB3O//wH6A0TEWOAaYB9gGvAW8IU8bIGkMcD1QBfg3Ih4tImxmlknVLnnDFJN0nnnnUeXLl0WGecrX/kKhx9+OIMHD2brrbdm8ODBrLPOOnXLlLTwXrCiT3/609x1111stdVWSOKUU07hAx/4AMDCBw423XRTtt5663bj3m+//Rg5ciR/+tOf+PWvf82JJ57IQQcdRN++ffn4xz/O008/vSSrwcxWMOpMVd9Dhw6Nek9ZdRTfm9SxWmV9tkocncljjz3GRz/60bLDaNd7773H/Pnz6datG08++SS77bYbTzzxBKuttlrZoTXFirJdzEpzwQXp83Ofa/qsJN0fEUOr+/u/Nc1spfbWW2+x6667Mn/+fCKC3/zmN502MTOzBiyHpKw9Ts7MbKXWo0ePuu81MzMrg/9b08zMzKxi9Ojar/5ZjpycmVnTdKZ7WjsDbw+zFYOTMzNrim7duvHyyy87IWgREcHLL79Mt27dyg7FzNrhe87MrCn69evHjBkzFnvpq5WnW7du9OvXr+wwzKwdTs7MrClWXXXVun8zZGZm9Tk5MzMzM6vYY4+yI3ByZmZmZrbQQQeVHYEfCDAzMzNbaN681JTINWdmZmZmFccckz7HjSstBNecmZmZmbUQJ2dmZmZmLcTJmZmZmVkLcXJmZmZm1kL8QICZmZlZxX77lR2BkzMzMzOzhVogOfNlTTMzM7OKOXNSUyLXnJmZmZlVHHdc+vR7zszMzMwMnJyZmZmZtRQnZ2ZmZmYtxMmZmZmZWQtp2gMBks4F9gVejIgtagz/NnBoIY6PAr0j4hVJ04HXgfeABRExtFlxmpmZmS00cmTZETT1ac0JwJnA+bUGRsSpwKkAkvYDvhERrxRG2TUiZjcxPjMzM7NF7bln2RE077JmREwCXml3xGQUcHGzYjEzMzNryAsvpKZEpd9zJmlNYC/gikLvAG6QdL+k0eVEZmZmZiud738/NSVqhZfQ7gfcUXVJc8eImClpA+BGSVNzTdxicvI2GqB///7Nj9bMzMysiUqvOQMOoeqSZkTMzJ8vAlcBw+pNHBHjImJoRAzt3bt3UwM1MzMza7ZSkzNJ6wA7A38q9FtLUo9KO7An8Eg5EZqZmZktX818lcbFwC5AL0kzgBOAVQEiYmwe7dPADRHxZmHSPsBVkirxXRQR1zUrTjMzM7NW0rTkLCJGNTDOBNIrN4r9ngK2ak5UZmZmZm047LCyI2iJBwLMzMzMWsOIEWVH0BIPBJiZmZm1hmeeSU2JXHNmZmZmVvGTn6TPceNKC8E1Z2ZmZmYtxMmZmZmZWQtxcmZmZmbWQpycmZmZmbUQPxBgZmZmVnHkkWVH4OTMzMzMbKFhdf/Oe7nxZU0zMzOziieeSE2JXHNmZmZmVnHaaenT7zkzMzMzM3ByZmZmZtZSnJyZmZmZtRAnZ2ZmZmYtxA8EmJmZmVWMGVN2BE7OzMzMzBYaPLjsCHxZ08zMzGyhyZNTUyLXnJmZmZlVnHlm+vR7zszMzMwMnJyZmZmZtRQnZ2ZmZmYtxMmZmZmZWQvxAwFmZmZmFcceW3YEzas5k3SupBclPVJn+C6SXpP0YG5+UBi2l6THJU2TdHyzYjQzMzNbxGabpaZEzbysOQHYq51xbouIIbn5EYCkLsBZwN7A5sAoSZs3MU4zMzOz5J57UlOipl3WjIhJkgYuxaTDgGkR8RSApEuAA4ApHRedmZmZWQ3jx6fPYcNKC6HsBwK2l/SQpGslfSz36ws8VxhnRu5nZmZm1umV+UDAA8CAiHhD0j7A1cCmgGqMG/UKkTQaGA3Qv3//ZsRpZmZmttyUVnMWEXMj4o3cfg2wqqRepJqyjQuj9gNmtlHOuIgYGhFDe/fu3dSYzczMzJqttORM0gckKbcPy7G8DNwLbCppkKTVgEOAiWXFaWZmZrY8Ne2ypqSLgV2AXpJmACcAqwJExFhgJPBfkhYAbwOHREQACySNAa4HugDnRsSjzYrTzMzMbKHvfrfsCJr6tOaodoafCZxZZ9g1wDXNiMvMzMysrgEDyo6g9Kc1zczMzFrHpEmpKZH/vsnMzMys4sIL0+eIEaWF4JozMzMzsxbi5MzMzMyshTg5MzMzM2shTs7MzMzMWogfCDAzMzOrOOmksiNwcmZmZma2UJ8+ZUfgy5pmZmZmC91wQ2pK5JozMzMzs4rLL0+fe+5ZWgiuOTMzMzNrIU7OzMzMzFqIkzMzMzOzFuLkzMzMzKyF+IEAMzMzs4pTTik7AidnZmZmZgv17Fl2BL6saWZmZrbQn/+cmhI5OTMzMzOrcHJmZmZmZkVOzszMzMxaiJMzMzMzsxbi5MzMzMyshfhVGmZmZmYVZ5xRdgTNqzmTdK6kFyU9Umf4oZIm5+ZOSVsVhk2X9LCkByXd16wYzczMzBbRrVtqStTMy5oTgL3aGP40sHNEDAZOAsZVDd81IoZExNAmxWdmZma2qD/+MTUlalpyFhGTgFfaGH5nRLyaO+8G+jUrFjMzM7OG3HhjakrUKg8EfBG4ttAdwA2S7pc0uqSYzMzMzJa70h8IkLQrKTkbXui9Y0TMlLQBcKOkqbkmrtb0o4HRAP379296vGZmZmbNVGrNmaTBwHjggIh4udI/ImbmzxeBq4Bh9cqIiHERMTQihvbu3bvZIZuZmZk1VWnJmaT+wJXA5yLiiUL/tST1qLQDewI1n/g0MzMz62zavayZX2Xxe+Ciwg387ZJ0MbAL0EvSDOAEYFWAiBgL/ABYHzhbEsCC/GRmH+Cq3K9rnu91S7BMZmZmZktnXPXLI5a/Ru45OwT4AnBvIVG7ISKirYkiYlQ7w48EjqzR/ylgq8WnMDMzM+v82r2sGRHTIuK7wGbARcC5wLOSfihpvWYHaGZmZrbcXHBBakrU0D1n+cb904FTgSuAkcBc4ObmhWZmZma2nN12W2pK1Mg9Z/cDc4DfAcdHxDt50D8k7djM4MzMzMxWNo3cc3ZQvg9sMRHxmQ6Ox8zMzGyl1shlzSMl9ax0SFpX0o+bGJOZmZnZSquR5GzviJhT6civ09ineSGZmZmZlaRbt9SUqJHLml0krV6510zSGsDqzQ3LzMzMrARnnFF2BA0lZxcCN0n6PekPyf8TOK+pUZmZmZmtpNpNziLiFEkPA7sBAk6KiOubHpmZmZnZ8jZ+fPo8crH35C83jdScERHXAtc2ORYzMzOzct1zT/osMTlr94EASZ+R9H+SXpM0V9LrkuYuj+DMzMzMVjaN1JydAuwXEY81OxgzMzOzlV0jr9J4wYmZmZmZ2UwLDEkAABldSURBVPLRSM3ZfZIuBa4GKn/dRERc2bSozMzMzMrQs2f74zRZI8nZ2sBbwJ6FfgE4OTMzM7PO5ZRTyo6goVdpfGF5BGJmZmZmjT2tuZmkmyQ9krsHS/pe80MzMzMzW87OPDM1JWrkgYDfAt8B5gNExGTgkGYGZWZmZlaKyZNTU6JGkrM1I+Keqn4LmhGMmZmZ2cqukeRstqQPkh4CQNJIYFZTozIzMzNbSTXytOZXgXHARyQ9DzwNHNbUqMzMzMxWUo08rfkUsLuktYBVIuL15odlZmZmVoI+fcqOoP3kTNIPqroBiIgfNSkmMzMzs3KcdFLZETR0WfPNQns3YF/Af+dkZmZm1gTtPhAQEacXmp8AuwB925tO0rmSXqy8H63GcEk6Q9I0SZMlbVMYtpekx/Ow45dgeczMzMyW3umnp6ZEjTytWW1NYJMGxpsA7NXG8L2BTXMzGvgNgKQuwFl5+ObAKEmbL0WcZmZmZkvm8cdTU6JG7jl7mPwaDaAL0Bto936ziJgkaWAboxwAnB8RAdwtqaekDYGBwLT8IAKSLsnjTmlvnmZmZmYrukbuOdu30L4AeCEiOuIltH2B5wrdM3K/Wv23q1eIpNGkmjf69+/fAWGtGAYe/9dlLmP6yZ/qgEjK1xHrwqzVdaZjvjMti7WeZd2/fnrPs/zHsHLziUYua75eaN4G1pa0XqVZhnmrRr9oo39NETEuIoZGxNDevXsvQzhmZmZm5Wuk5uwBYGPgVVLi1BN4Ng8LGrv/rJYZudyKfsBMYLU6/c3MzMya6vm1N4ABA0qNoZGas+uA/SKiV0SsT7rMeWVEDIqIpU3MACYCn89PbX4ceC0iZgH3AptKGiRpNdKfrE9chvmYmZmZNeSsHQ6G73631BgaqTn7t4g4qtIREddKavcNbZIuJr12o5ekGcAJwKq5jLHANcA+wDTgLeALedgCSWOA60kPIJwbEY8uyUKZmZmZragaSc5mS/oecCHpMuZhwMvtTRQRo9oZHqT/7aw17BpS8mZmZma23Hz1zkvhJw+WWnvWyGXNUaTXZ1yVm965n5mZmVmn0nfui/DMM6XG0Mgfn78CfE1S94h4YznEZGZmZrbSarfmTNIOkqaQXwIraStJZzc9MjMzM7OVUCOXNX8BfJJ8n1lEPASMaGZQZmZmZiurhv5bMyKeq+r1XhNiMTMzMyvVU+v1hQ9/uNQYGknOnpO0AxCSVpN0LPBYk+MyMzMzW+7GD/sMfOtbpcbQSHJ2FOmVF31Jb/UfQp1XYJiZmZnZsmkzOZPUBfhlRBwaEX0iYoOIOCwi2n3PmZmZmdmK5puTLoDvf7/UGNpMziLiPaB3/hslMzMzs06t11tz4IUXSo2hkX8ImA7cIWki8GalZ0T8vFlBmZmZma2s6tacSbogtx4M/CWP26PQmJmZmVkHa6vmbFtJA4BngV8vp3jMzMzMVmptJWdjgeuAQcB9hf4i/QH6Jk2My8zMzGy5m9p7IAzeotQY6l7WjIgzIuKjwO8jYpNCMyginJiZmZlZp3P+tvvBmDGlxtDue84i4r+WRyBmZmZm1uDfN5mZmZmtDI7/+7lw3HGlxuDkzMzMzCxb+503Yc6cUmNwcmZmZmbWQpycmZmZmbUQJ2dmZmZmLcTJmZmZmVn20IabwbBhpcbg5MzMzMwsu3SrT8KRR5Yag5MzMzMzsxbS1ORM0l6SHpc0TdLxNYZ/W9KDuXlE0nuS1svDpkt6OA+7b/HSzczMzDrWCX87B445ptQY2vpvzWUiqQtwFrAHMAO4V9LEiJhSGSciTgVOzePvB3wjIl4pFLNrRMxuVoxmZmZmRasveBfmzSs1hmbWnA0DpkXEUxHxLnAJcEAb448CLm5iPGZmZmYtr5nJWV/guUL3jNxvMZLWBPYCrij0DuAGSfdLGt20KM3MzMxaSNMuawKq0S/qjLsfcEfVJc0dI2KmpA2AGyVNjYhJi80kJW6jAfr377+sMZuZmZmVqpk1ZzOAjQvd/YCZdcY9hKpLmhExM3++CFxFuky6mIgYFxFDI2Jo7969lzloMzMzW3nd2+9jsNNOpcbQzOTsXmBTSYMkrUZKwCZWjyRpHWBn4E+FfmtJ6lFpB/YEHmlirGZmZmZctcUn4HOfKzWGpl3WjIgFksYA1wNdgHMj4lFJR+XhY/OonwZuiIg3C5P3Aa6SVInxooi4rlmxmpmZmbWKZt5zRkRcA1xT1W9sVfcEYEJVv6eArZoZm5mZmVm1n173a3jlTzBuXGkx+B8CzMzMzFqIkzMzMzOzFuLkzMzMzKyFODkzMzMzayFOzszMzMyy2wduDXvsUWoMTX1a08zMzGxFcs1HhsNBnyo1BtecmZmZmWWrL3gX5s0rNQYnZ2ZmZmbZCX87B445ptQYnJyZmZmZtRAnZ2ZmZmYtxMmZmZmZWQtxcmZmZmbWQpycmZmZmWU3fWgY7LdfqTH4PWdmZmZm2U0f2g7283vOzMzMzFrC2vPegDlzSo3ByZmZmZlZdvwtv4fjjis1BidnZmZmZi3EyZmZmZlZC3FyZmZmZtZCnJyZmZmZtRAnZ2ZmZmbZtR/eEUaOLDUGJ2dmZmZm2W2DtoE99yw1BidnZmZmZlmvN1+FF14oNYamJmeS9pL0uKRpko6vMXwXSa9JejA3P2h0WjMzM7OO9s3bLoTvf7/UGJr2902SugBnAXsAM4B7JU2MiClVo94WEfsu5bRmZmZmnUoza86GAdMi4qmIeBe4BDhgOUxrZmZmtsJqZnLWF3iu0D0j96u2vaSHJF0r6WNLOK2ZmZlZp9K0y5qAavSLqu4HgAER8YakfYCrgU0bnDbNRBoNjAbo37//0kdrZmZm1gKaWXM2A9i40N0PmFkcISLmRsQbuf0aYFVJvRqZtlDGuIgYGhFDe/fu3ZHxm5mZ2Urm6o/tCocdVmoMzUzO7gU2lTRI0mrAIcDE4giSPiBJuX1YjuflRqY1MzMz62j3bLwFjBhRagxNu6wZEQskjQGuB7oA50bEo5KOysPHAiOB/5K0AHgbOCQiAqg5bbNiNTMzMwPo+9qL8MwzMGBAaTE0856zyqXKa6r6jS20nwmc2ei0ZmZmZs301bsuhZ/cBePGlRaD/yHAzMzMrIU4OTMzMzNrIU7OzMzMzFqIkzMzMzOzFuLkzMzMzCy7dPCecOSRpcbg5MzMzMwse2ijD8OwYaXG4OTMzMzMLBv0yvPwxBOlxuDkzMzMzCz70j1XwmmnlRqDkzMzMzOzFuLkzMzMzKyFODkzMzMzayFOzszMzMxaiJMzMzMzs+z8bfaFMWNKjcHJmZmZmVk2dYNBMHhwqTE4OTMzMzPLPvLi0zB5cqkxODkzMzMzyz7/wF/gzDNLjcHJmZmZmVkLcXJmZmZm1kKcnJmZmZm1ECdnZmZmZi3EyZmZmZlZ9tthn4Fjjy01BidnZmZmZtnT6/WFzTYrNQYnZ2ZmZmbZVjMfh3vuKTUGJ2dmZmZm2cGTb4Dx40uNoanJmaS9JD0uaZqk42sMP1TS5NzcKWmrwrDpkh6W9KCk+5oZp5mZmVmr6NqsgiV1Ac4C9gBmAPdKmhgRUwqjPQ3sHBGvStobGAdsVxi+a0TMblaMZmZmZq2mmTVnw4BpEfFURLwLXAIcUBwhIu6MiFdz591AvybGY2ZmZtbympmc9QWeK3TPyP3q+SJwbaE7gBsk3S9pdL2JJI2WdJ+k+1566aVlCtjMzMysbE27rAmoRr+oOaK0Kyk5G17ovWNEzJS0AXCjpKkRMWmxAiPGkS6HMnTo0Jrlm5mZmTXirO0P5j+O/0SpMTSz5mwGsHGhux8ws3okSYOB8cABEfFypX9EzMyfLwJXkS6TmpmZmTXN8+tsAAMGlBpDM5Oze4FNJQ2StBpwCDCxOIKk/sCVwOci4olC/7Uk9ai0A3sCjzQxVjMzMzOGPfcITFrsQt1y1bTLmhGxQNIY4HqgC3BuRDwq6ag8fCzwA2B94GxJAAsiYijQB7gq9+sKXBQR1zUrVjMzMzOAAx/9O1z4JIwYUVoMzbznjIi4Brimqt/YQvuRwJE1pnsK2Kq6v5mZmVln538IMDMzM2shTs7MzMzMWoiTMzMzM7MW4uTMzMzMLPv5TofBSSeVGoOTMzMzM7Ns9lrrQp8+pcbg5MzMzMws2+npB+CGG0qNwcmZmZmZWbb343fA5ZeXGoOTMzMzM7MW4uTMzMzMrIU4OTMzMzNrIU7OzMzMzFqIkzMzMzOz7ORdvgCnnFJqDE7OzMzMzLK53bpDz56lxuDkzMzMzCzbbdo/4M9/LjUGJ2dmZmZm2W7T7nFyZmZmZmbvc3JmZmZm1kKcnJmZmZm1ECdnZmZmZi3EyZmZmZlZ9sPdvwxnnFFqDE7OzMzMzLJ3uq4G3bqVGoOTMzMzM7Nsn6m3wx//WGoMTs7MzMzMsuHT/xduvLHUGJqanEnaS9LjkqZJOr7GcEk6Iw+fLGmbRqc1MzMz64yalpxJ6gKcBewNbA6MkrR51Wh7A5vmZjTwmyWY1szMzKzTaWbN2TBgWkQ8FRHvApcAB1SNcwBwfiR3Az0lbdjgtGZmZmadTjOTs77Ac4XuGblfI+M0Mq2ZmZlZp9O1iWWrRr9ocJxGpk0FSKNJl0QB3pD0eMMRLh+9gNnFHvp/JUVSpVXi6AR6AbO9Pju1xY7jFVFn2kc7eFk6xfa1NjW8jQ8FDn0I+O1vmxpQNqBWz2YmZzOAjQvd/YCZDY6zWgPTAhAR44Bxyxpss0i6LyKGlh2HNY+3cefnbdy5eft2fivaNm7mZc17gU0lDZK0GnAIMLFqnInA5/NTmx8HXouIWQ1Oa2ZmZtbpNK3mLCIWSBoDXA90Ac6NiEclHZWHjwWuAfYBpgFvAV9oa9pmxWpmZmbWKpp5WZOIuIaUgBX7jS20B/DVRqddQbXsJVfrMN7GnZ+3cefm7dv5rVDbWCk/MjMzM7NW4L9vMjMzM2shTs46mKQukv5X0l9y93qSbpT0f/lz3bJjtKUnabqkhyU9KOm+3M/buBOR1FPS5ZKmSnpM0vbexp2HpA/n47fSzJX0dW/jzkPSNyQ9KukRSRdL6raibV8nZx3va8Bjhe7jgZsiYlPgptxtK7ZdI2JI4bFsb+PO5VfAdRHxEWAr0vHsbdxJRMTj+fgdAmxLehjtKryNOwVJfYFjgKERsQXpocJDWMG2r5OzDiSpH/ApYHyh9wHAebn9PODA5R2XNZ23cSchaW1gBPA7gIh4NyLm4G3cWe0GPBkRz+Bt3Jl0BdaQ1BVYk/Se1BVq+zo561i/BI4D/lXo1ye/u438uUEZgVmHCeAGSffnf6cAb+POZBPgJeD3+faE8ZLWwtu4szoEuDi3ext3AhHxPHAa8Cwwi/T+1BtYwbavk7MOImlf4MWIuL/sWKypdoyIbYC9ga9KGlF2QNahugLbAL+JiK2BN2nxyx+2dPILzvcH/lh2LNZx8r1kBwCDgI2AtSQdVm5US87JWcfZEdhf0nTgEuATki4EXpC0IUD+fLG8EG1ZRcTM/Pki6T6VYXgbdyYzgBkR8Y/cfTkpWfM27nz2Bh6IiBdyt7dx57A78HREvBQR84ErgR1Ywbavk7MOEhHfiYh+ETGQVFV+c0QcRvrbqcPzaIcDfyopRFtGktaS1KPSDuwJPIK3cacREf8EnpP04dxrN2AK3sad0Sjev6QJ3sadxbPAxyWtKUmkY/gxVrDt65fQNoGkXYBjI2JfSesDlwH9STvNQRHxSpnx2dKRtAmptgzS5a+LIuIn3sadi6QhpId6VgOeIv2t3Cp4G3caktYEngM2iYjXcj8fx52EpB8CBwMLgP8FjgS6swJtXydnZmZmZi3ElzXNzMzMWoiTMzMzM7MW4uTMzMzMrIU4OTMzMzNrIU7OzMzMzFqIkzOz5UDSpyWFpI+0Mc4tkobWG57HOVHSsbn9CEkbdXSsdeZ7hKQzm1DudEm9avT/n6ruO9spp911Vxh3oKT/WLJIa5YzXtLmHVDOhpL+UtXvCEkDq/pdImnTpSg/JF1Q6O4q6aXqeS5BeT0lfWVppm02SW+UHYNZR3ByZrZ8jAJuJ72guKMcQfp7ks5okeQsInbowLIHAsuUnEnqEhFHRsSUDojnm8BvK+VKOgf4KXBd/peRit+Q/rt3Sb0JbCFpjdy9B/D8MsTbE2jJ5Myss3ByZtZkkrqT/t7rixSSM0lr5NqQyZIuBdYoDHuj0D5S0oSqMkcCQ4E/SHqw8MWLpA0k3Z/bt8o1J/1z95P5zdm9JV0h6d7c7JiHryXp3NzvfyUdUGN5PiXpLkm9JO2Z2x+Q9Me8rJUasR/m/g9XagwlrS/phlz2OYBqlH8ysEZerj/UWB/H5TIfyuMWp11F0nmSfpwTnVPzskyW9OU82snATrn8b1RNv4ukSZKukjRF0lhJq1RikPQjSf8Ati/W1knaKy/rQ5JuanRdZv8OXJfbPwl8EPgRsBfw/wrj3QbsLqlrnXLaci3wqdy+yJvxJa0n6eq8ju6WNDj3PzHHf4ukpyQdU1h/H8zr71RJ3SXdVNjWB+TpB0p6TNJvJT2at/saediX8np5KO+Ha1YHvBRxFae9oLi+Jf1B0v5Lsd7MyhERbty4aWIDHAb8LrffCWyT278JnJvbB5PeZj00d79RmH4kMCG3n0j69wmAWyrj15jno8DawBjgXuBQYABwVx5+ETA8t/cHHsvtPwUOy+09gSeAtUi1dGcCnyYlCesCvYBJwFp5/P8GfpDbpwNH5/avAONz+xmFcT4FBNCrRvxv1Oom/R/incCauXu9wrr4OCnp+G7uNxr4Xm5fHbiP9GfIuwB/qbPedgHmAZsAXYAbgZF5WACfLYx7CylB7k162/ygqphqrsuq+Q0C7i907w7cD3wNGFgjvhuBbZdw/3uDtH9dDnQDHiyuA+DXwAm5/RPAg4V97c687noBLwOrkmoeHymU3xVYO7f3AqaRku6BpH16SB52WWF9rF+Y/seVfaUq7iWKq2o/2Rm4OrevAzwNdC37XODGTaPN0vwCM7MlMwr4ZW6/JHc/AIwgJStExGRJkztwnneSautGkJKEvUhfmLfl4bsDm0sLK67WVvrf0D2B/ZXvayN9mffP7buSkpE9I2KupH2BzYE7cjmrAXcVYrgyf94PfCa3j6i0R8RfJb26hMu1O/D7iHgrl1H8+5VzgMsi4ie5e09gcK5lhPQlvSnwbjvzuCcingKQdDEwnJTYvAdcUWP8jwOTIuLpqpjqrcvHCtNuCLxU6YiIv0n6I/AN4D8ljY2I3xTGf5F0Kfv+dpZhEXn/Gkja966pGjycVHtHRNycazfXycP+GhHvAO9IehHoU6N4AT+VNAL4F9C3MN7TEfFgbr+flLBBusz6Y1LS2h24vka5SxrXjMLy3irpLEkbkPa3KyJiQf01ZNZanJyZNZHS//V9gvRlFKTamJBUuXeo3v+nFft3W4pZ3wbsRKot+xOpViuAyk3gqwDbR8TbVfEK+PeIeLyq/3ak/5ncBNiMVAsl4MaIGFUnhnfy53sseq5Zlv+MUxvT3wnsKun0iJiXxz06Ihb54lf679u2VJdf6Z4XEe8tQUw112WVt6navhFxsqR/ktb3GZIeiYhKUt0tT/P+TNK2OSd3/iAiJtaZ10TgNFKt2fpVcVarLM87hX7V27HiUFLt4bYRMV/S9MIyVU9fufw+ATgwIh6SdESOqdqyxnVBju0Q4D9rDDdrWb7nzKy5RgLnR8SAiBgYERuTLrEMJ10SPBRA0hakS08VL0j6aL7f6dN1yn4d6FFn2CTS5dT/i4h/Aa8A+wB35OE3kC55kuc/JLdeDxydkzQkbV0o8xlSLcT5kj4G3A3sKOlDedw1JW3W5tpYdJn3Jl0erWW+pFVr9L+BVKO0Zi5jvcKw35Fqhf6Y78u6HvivSjmSNpO0Fm2vN4BhkgbldX8w6UGOttwF7CxpUFVMba3Liid4vzYJSQOU79sjXSqdWRXrZqRL1gtFxD8iYkhu6iVmAOcCP4qIh6v6F7fJLsDsiJjbRjnV628d4MWcmO1K+kHQnh7ArLxtDq0zzpLGVW0C8HWAiHi07VHNWouTM7PmGgVcVdXvCtLTgr8BuufLmccB9xTGOZ5Uy3UzMKtO2ROAsap6IAAgIqbn1kn583ZgTkRULiMeAwzNN1tPAY7K/U8i3Vc0WdIjubtY7uOkL8w/ku5pOwK4OC/D3UDdV4VkPwRGSHqAdNnv2Trjjcsx/KFq/teRaoDuk/QgcGzV8J+TLhlfAIwHpgAP5GU5h1TDMhlYkG9GX+SBgOwu0k3vj5AS6ertt4iIeIl0f9uVkh4CLs2D2lyXedo3gScrCS7pMue1pKdVryVdxrweQFIf4O2IqLc/tCkiZkTEr2oMOpG8L5CW+/B2ynmZdCn7EUmnAn/I099H2jemNhDO94F/kO6hqzf+EsVVI84XSJeQf78k05m1AkUsyxUGM7POI9fQHBsR+y7HeX6adEnwe4V+RwC3FJJsciI5NyJ+t7xiW5Hl2tWHSQ/gvFZ2PGZLwjVnZmYlioirSE+3Fj0IzKnqNwc4b3nEtKKTtDupRu7XTsxsReSaMzMzM7MW4pozMzMzsxbi5MzMzMyshTg5MzMzM2shTs7MzMzMWoiTMzMzM7MW4uTMzMzMrIX8f3hgqFucMJLwAAAAAElFTkSuQmCC\n", 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", 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\n", 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\n", 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", 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jjz3GYYcdxtixYzn88MN5/etfX/fpM0cccQTnnnsuABdeeCFvf/vbn3kvM/nIRz7CjjvuyGte8xrOO+88oEiiDjjggGeWmz59OmeddRZQPOnmk5/8JLvssguvec1rmDNnDnPnzuUb3/gGX/ziFxk3bhy/+c1vuOSSS3j961/PzjvvzF577cWCBQsAOOuss5he3oz6mGOO4dhjj2XXXXflJS95ySollgOxxkvqFsceW4y/8pX2xiGpaz3++OOMGzeOZcuWMX/+fC6//PLnLHPGGWew6aabcvPNN3Prrbcybty4utubNGkS73nPe1ixYgXnnnsuM2fO5NRTTwWKROzGG2/kpptuYtGiRbzuda9jjz32aBjjFltswQ033MAZZ5zB6aefzplnnsl73/teNtpoI4477jgAHn74YX7/+98TEZx55pmcdtppfP7zn3/OtubPn89VV13FnDlzOOigg4bcnDoQE68uNOaES1d7G3Nn7L8GIlGlvLeP1FumTXvuvL33hsmTi8+Dvn/Gah14YDEsWfLcGy7PnNlwl7VNjVdffTXvfOc7ufXWW1da5qqrruKDH/wgADvuuCNjx46tu71hw4ax2267cd555/H4448zZsyYlbZz5JFHMmzYMEaNGsWb3vQmrr32WjbZZJNBY+yrNXvta1/LhRdeOOAy8+bN4/DDD2f+/Pk8+eSTdW8Hccghh7DOOuvwqle96plasdVlU6MkSRqyf/qnf2LRokU8+OCDK82v7SzfjCOOOIIPfOADHHbYYU1tZ9111+Xpp59+Zrr/7Rye97znAUVS99RTTw24jQ984ANMnz6dW265hW9+85t1bwnRt63B4hkqa7wkSVobDVZDNXz44O+PGNFUDddg5syZw4oVK9h888157LHHnpm/2267cf7557Pnnnty++23c8sttwy6nd13350TTzyRI488cqX5e+yxB9/85jeZMmUKDz30EFdeeSWf+9znWL58ObfffjtPPPEEy5YtY/bs2ey2226D7mPjjTdm6dKlz0z//e9/Z5tttgFg1qxZQy36ajHxkiRJTenr4wVFDdCsWbMYNmzYSsu8//3vZ8qUKYwdO5add96ZsWPH8oIXvKDuNiPimb5Xtd72trdx9dVXs9NOOxERnHbaabzwhS8EeKbz/vbbb8/OO+/cMO4DDzyQQw89lIsuuoivfvWrnHzyyUyePJltttmGN7zhDdxzzz1DOQyrJdZU1VkrjR8/Puv9IkLPZR+vHnX22cX46KPbG4eklrjjjjt45Stf2e4wGlqxYgXLly9n+PDh/OUvf2HSpEnceeedrL/++u0OrSUGOi8RcX1mjh9oeWu8pG5hwiWpAzz22GPsueeeLF++nMzk61//etcmXavCxEuSJK0xG2+8cd37dqmFv2qMiB0i4saaYWlEfCgiNouIyyLirnK8aatikHrKtGkD/7xcktQxWpZ4ZeafMnNcZo4DXgs8BvwYOAGYnZnbA7PLaUmS1MDa0C+7l6zK+ajqPl6TgL9k5r3AwUDfbzdnAYdUFIMkSWut4cOHs3jxYpOvDpGZLF68mOHDhw9pvar6eB0B/KB8PSoz5wNk5vyI2LKiGCRJWmttu+22zJs37zk3LFX7DB8+nG233XZI67Q88YqI9YGDgBOHuN40YBrA6NGjWxCZJElrj/XWW6/uo2209qiixms/4IbM7HvI0YKI2Kqs7doKWDjQSpk5E5gJxX28KohTWrvtvXe7I5AkNVBF4nUkzzYzAlwMTAFmlOOLKohB6n6TJ7c7AklSAy3tXB8Rzwf2BmofDz4D2Dsi7irfm9HKGKSesWxZMUiSOlZLa7wy8zFg837zFlP8ylHSmnTsscV4NR98K0lqnapuJyFJktTzTLwkSZIqYuIlSZJUERMvSZKkilR153pJrXbgge2OQJLUgImX1C1MvCSp49nUKHWLJUuKQZLUsazxkrrF8ccXY+/jJUkdyxovSZKkiph4SZIkVcTES5IkqSImXpIkSRWxc73ULQ49tN0RSJIaMPGSusU++7Q7AklSAzY1St1iwYJikCR1LGu8pG7xiU8UY+/jJUkdyxovSZKkiph4SZIkVcTES5IkqSImXpIkSRWxc73ULY46qt0RSJIaMPGSusUee7Q7AklSAzY1St3i3nuLQZLUsazxkrrFZz5TjL2PlyR1LGu8JEmSKmLiJUmSVJGWJl4RMSIiLoiIORFxR0T8U0RsFhGXRcRd5XjTVsYgSZLUKVpd4/Vl4OeZ+QpgJ+AO4ARgdmZuD8wupyVJkrpeyzrXR8QmwB7AMQCZ+STwZEQcDEwsF5sFXAF8tFVxSD1j6tR2RyBJaqCVv2p8CfAg8N8RsRNwPfBBYFRmzgfIzPkRsWULY5B6x4QJ7Y5AktRAK5sa1wV2Ab6emTsD/2AIzYoRMS0irouI6x588MFWxSh1jzvvLAZJUsdqZeI1D5iXmX8opy+gSMQWRMRWAOV44UArZ+bMzByfmeNHjhzZwjClLnH66cUgSepYLUu8MvNvwP0RsUM5axJwO3AxMKWcNwW4qFUxSJIkdZJW37n+A8D3ImJ94G7gXRTJ3vkR8W7gPmByi2OQJEnqCC1NvDLzRmD8AG9NauV+JUmSOpF3rpckSaqID8mWusX06e2OQJLUgImX1C3Gjm13BJKkBmxqlLrFzTcXgySpY1njJXWLr32tGM+c2d44JEl1WeMlSZJUERMvSZKkiph4SZIkVcTES5IkqSJ2rpe6xXHHtTsCSVIDJl5St3j5y9sdgSSpAZsapW5xzTXFIEnqWNZ4Sd3izDOL8YQJ7Y1DklSXNV6SJEkVMfGSJEmqiImXJElSRUy8JEmSKmLneqlbnHRSuyOQJDVg4iV1i+22a3cEkqQGbGqUusWVVxaDJKljWeMldYtzzinGe+zR3jgkSXVZ4yVJklQREy9JkqSKmHhJkiRVxMRLkiSpInaul7rFqae2OwJJUgMmXlK3GDWq3RFIkhpoaeIVEXOBR4AVwFOZOT4iNgPOA8YAc4HDMvPhVsYh9YRf/rIY77NPe+OQJNVVRR+vPTNzXGaOL6dPAGZn5vbA7HJa0uq64IJikCR1rHZ0rj8YmFW+ngUc0oYYJEmSKtfqxCuBX0bE9RExrZw3KjPnA5TjLVscgyRJUkdodef6N2bmAxGxJXBZRMxpdsUyUZsGMHr06FbFJ0mSVJmW1nhl5gPleCHwY2ACsCAitgIoxwvrrDszM8dn5viRI0e2MkxJkqRKtKzGKyI2BNbJzEfK1/sAnwIuBqYAM8rxRa2KQeopp53W7ggkSQ20sqlxFPDjiOjbz/cz8+cRcS1wfkS8G7gPmNzCGKTeMWJEuyOQJDXQssQrM+8Gdhpg/mJgUqv2K/WsSy4pxgce2N44JEl1+axGqVtccsmzyZckqSOZeEmSJFXExEuSJKkiJl6SJEkVMfGSJEmqSKvvXC+pKl/5SrsjkCQ1YOIldYvhw9sdgSSpAZsapW7xwx8WgySpY5l4Sd3issuKQZLUsUy8JEmSKmLiJUmSVBETL0mSpIr4q0Z1tDEnXLra25g7Y/81EIkkSauvYeIVEdcB/w18PzMfbn1IklbJzJntjkCS1EAzTY1HAFsD10bEuRHxloiIFsclSZLUdRomXpn558w8CXg58H3gO8B9EXFKRGzW6gAlNenss4tBktSxmupcHxFjgc8DnwN+BBwKLAUub11okobkN78pBklSx2qmj9f1wBLg28AJmflE+dYfIuKNrQxOkiSpmzTzq8bJmXn3QG9k5tvXcDySJEldq5mmxqkRMaJvIiI2jYhPtzAmSZKkrtRM4rVfZi7pmyhvKfHW1oUkaZUMH14MkqSO1UxT47CIeF5f366I2AB4XmvDkjRkX/lKuyOQJDXQTOJ1DjA7Iv4bSOCfgVktjUqSJKkLNUy8MvO0iLgFmAQEcGpm/qLlkUkamjPPLMZTp7Y3DklSXU09qzEzfwb8rMWxSFod11xTjE28JKljNexcHxFvj4i7IuLvEbE0Ih6JiKVVBCdJktRNmvlV42nAQZn5gszcJDM3zsxNmt1BRAyLiD9GxE/K6c0i4rIymbssIjZd1eAlSZLWJs0kXgsy847V2McHgdr1TwBmZ+b2wOxyWpIkqes1k3hdFxHnRcSRZbPj2yOiqTvWR8S2wP7AmTWzD+bZX0XOAg4ZUsSSBjZiRDFIkjpWM53rNwEeA/apmZfAhU2s+yXgeGDjmnmjMnM+QGbOj4gtm4xV0mBOO63dEUiSGmjmdhLvWpUNR8QBwMLMvD4iJq7C+tOAaQCjR49elRAkSZI6SjO/anx5RMyOiFvL6bER8fEmtv1G4KCImAucC7w5Is4BFkTEVuW2tgIWDrRyZs7MzPGZOX7kyJFNFkfqYV/7WjFIkjpWM328vgWcCCwHyMybgSMarZSZJ2bmtpk5plz+8sw8CrgYmFIuNgW4aBXiltTfzTcXgySpYzWTeD0/M6/pN++p1djnDGDviLgL2LucliRJ6nrNdK5fFBEvpehQT0QcCswfyk4y8wrgivL1YorHD0mSJPWUZhKvfwVmAq+IiL8C9wBHtTQqSZKkLtTMrxrvBvaKiA2BdTLzkdaHJWnIRo1qdwSSpAYaJl4R8e/9pgHIzE+1KCZJq+LUU9sdgSSpgWaaGv9R83o4cAArPwJIkiRJTWimqfHztdMRcTrFLSEkdZLPl3+qH/5we+OQJNXVTI1Xf88HXrKmA5G0mv70p3ZHIElqoJk+XrdQ3koCGAaMBOzfJUmSNETN1HgdUPP6KWBBZq7ODVQlSZJ6UjOJV//bR2zS98tGgMx8aI1GJEmS1KWaSbxuAF4EPAwEMAK4r3wvsb+X1Bm2267dEUiSGmgm8fo5cHFm/hQgIvYD9spMfzoldZKTTmp3BJKkBpp5SPbr+pIugMz8GfCm1oUkSZLUnZp9SPbHgXMomhaPAha3NCpJQ/eZzxRja74kqWM1U+N1JMUtJH5cDiPLeZI6yb33FoMkqWM1c+f6h4APRsRGmfloBTFJkiR1pYY1XhGxa0TcDtxeTu8UEWe0PDJJkqQu00wfry8Cb6F8PmNm3hQRe7Q0KrXdmBMuXe1tzJ2x/xqIRJKk7tHUsxoz8/7am6YCK1oTjqRVtsMO7Y5AktRAM4nX/RGxK5ARsT5wLHBHa8OSNGQf9tZ6ktTpmvlV43uBfwW2AeYB48ppSZIkDcGgNV4RMQz4Uma+o6J4JK2qT3yiGJ96anvjkCTVNWjilZkrImJkRKyfmU9WFZSkVbBgQbsjkCQ10Ewfr7nAbyPiYuAffTMz8wutCkqSJKkb1e3jFRFnly8PB35SLrtxzSBJkqQhGKzG67URsR1wH/DViuKRJEnqWoMlXt8Afg68GLiuZn5QPCz7JS2MS9JQjR3b7ggkSQ3UTbwy8yvAVyLi65n5vgpjkrQqpk9vdwSSpAYa3sdrVZOuiBgeEddExE0RcVtEnFLO3ywiLouIu8rxpquyfUmSpLVNMzdQXVVPAG/OzJ0obrq6b0S8ATgBmJ2Z2wOzy2lJq+v444tBktSxWpZ4ZeHRcnK9ckjgYGBWOX8WcEirYpB6ypIlxSBJ6litrPEiIoZFxI3AQuCyzPwDMCoz5wOU4y3rrDstIq6LiOsefPDBVoYpSZJUiZYmXpm5IjPHAdsCEyJixyGsOzMzx2fm+JEjR7YuSEmSpIq0NPHqk5lLgCuAfYEFEbEVQDleWEUMkiRJ7dayxKt8xuOI8vUGwF7AHOBiYEq52BTgolbFIPWUCROKQZLUsZp5VuOq2gqYFRHDKBK88zPzJxFxNXB+RLyb4q74k1sYg9Q7pk5tdwSSpAZalnhl5s3AzgPMXwxMatV+JUmSOlUlfbwkVeDYY4tBktSxWtnUKKlKy5a1OwJJUgPWeEmSJFXExEuSJKkiJl6SJEkVsY+X1C12373dEUiSGjDxkrrF0Ue3OwJJUgM2NUqSJFXExEvqFtOmFYMkqWOZeEmSJFXExEuSJKkiJl6SJEkVMfGSJEmqiLeTkLrF3nu3OwJJUgMmXlK3mDy53RFIkhqwqVHqFsuWFYMkqWNZ46WWGXPCpe0Oobcce2wxnjmzvXFIkuqyxkuSJKkiJl6SJEkVMfGSJEmqiFOazWwAAA3fSURBVImXJElSRexcL3WLAw9sdwSSpAZMvKRuYeIlSR3PpkapWyxZUgySpI5ljZfULY4/vhh7Hy9J6ljWeEmSJFWkZTVeEfEi4LvAC4GngZmZ+eWI2Aw4DxgDzAUOy8yHWxXH2sa7vUuS1L1aWeP1FPDhzHwl8AbgXyPiVcAJwOzM3B6YXU5LkiR1vZYlXpk5PzNvKF8/AtwBbAMcDMwqF5sFHNKqGCRJkjpJJZ3rI2IMsDPwB2BUZs6HIjmLiC2riEHqeoce2u4IJEkNtDzxioiNgB8BH8rMpRHR7HrTgGkAo0ePbl2AUrfYZ592RyBJaqClv2qMiPUokq7vZeaF5ewFEbFV+f5WwMKB1s3MmZk5PjPHjxw5spVhSt1hwYJikCR1rJYlXlFUbX0buCMzv1Dz1sXAlPL1FOCiVsUg9ZRPfKIYJEkdq5VNjW8EjgZuiYgby3kfA2YA50fEu4H7gMktjEGSJKljtCzxysyrgHoduia1ar+SJEmdyjvXS5IkVcTES5IkqSI+JFtdb008hmnujP07P4ajjlrtfUiSWsvES+oWe+zR7ggkSQ3Y1Ch1i3vvLQZJUseyxkvqFp/5TDGeObO9cUiS6rLGS5IkqSImXpIkSRUx8ZIkSaqIiZckSVJF7FwvdYupU9sdgSSpARMvqVtMmNDuCCRJDdjUKHWLO+8sBklSx7LGS+oWp59ejL2PlyR1LGu8JEmSKmLiJUmSVBETL0mSpIqYeEmSJFXEzvVSt5g+vd0RSJIaMPGSusXYse2OQJLUgE2NUre4+eZikCR1LGu8pG7xta8VY+/jJUkdyxovSZKkiljjJTVhzAmXtjsESVIXsMZLkiSpIiZekiRJFbGpUeoWxx3X7ggkSQ20rMYrIr4TEQsj4taaeZtFxGURcVc53rRV+5d6zstfXgySpI7VyqbGs4B9+807AZidmdsDs8tpSWvCNdcUgySpY7WsqTEzr4yIMf1mHwxMLF/PAq4APtqqGKSecuaZxXjChPbGIUmqq+rO9aMycz5AOd6y3oIRMS0irouI6x588MHKApQkSWqVjv1VY2bOzMzxmTl+5MiR7Q5HkiRptVWdeC2IiK0AyvHCivcvSZLUNlUnXhcDU8rXU4CLKt6/JElS27Ssc31E/ICiI/0WETEP+CQwAzg/It4N3AdMbtX+pZ5z0kntjkCS1EArf9V4ZJ23JrVqn1JP2267dkcgSWqgYzvXSxqiK68sBklSx/KRQWvQmBMubXcI6mKNrq//+PlXAfjYvo/UXWbujP3XaEySpKGxxkuSJKkiJl6SJEkVMfGSJEmqiImXJElSRexcL3WJL+x+VLtDkCQ1YOIldYlFG27a7hAkSQ3Y1Ch1id3vuYHd77mh3WFIkgZhjZfUJfb7028B+M2Ld2lzJJKkeqzxkiRJqoiJlyRJUkVsapQ0JGvi0Vg+ukhSr7LGS5IkqSLWeEldYsbEd7U7BElSAyZeUpdYOnyjdocgSWrApkapS0z68x+Y9Oc/tDsMSdIgTLykLjHpz9cw6c/XtDsMSdIgTLwkSZIqYh+v0pr4ibwkSdJgrPGSJEmqiImXJElSRWxqlLrEKXv9S7tDkCQ1YOIldYkn1l2/3SH0pE55hFKnxCFpcDY1Sl3irXOu4q1zrmp3GJKkQZh4SV1it7l/ZLe5f2x3GJKkQbSlqTEi9gW+DAwDzszMGe2IQ+o13jZlZR6PNcvmTrVaN1xjldd4RcQw4L+A/YBXAUdGxKuqjkOSJKlq7WhqnAD8OTPvzswngXOBg9sQhyRJUqXakXhtA9xfMz2vnCdJktTVIjOr3WHEZOAtmTm1nD4amJCZH+i33DRgWjm5A/CnFoe2BbCoxfvoZL1c/l4uO/R2+S177+rl8vdy2aGa8m+XmSMHeqMdnevnAS+qmd4WeKD/Qpk5E5hZVVARcV1mjq9qf52ml8vfy2WH3i6/Ze/NskNvl7+Xyw7tL387mhqvBbaPiBdHxPrAEcDFbYhDkiSpUpXXeGXmUxExHfgFxe0kvpOZt1UdhyRJUtXach+vzPwp8NN27HsQlTVrdqheLn8vlx16u/yWvXf1cvl7uezQ5vJX3rlekiSpV/nIIEmSpIqYeFE8wigi/hQRf46IE9odT5UiYm5E3BIRN0bEde2Op9Ui4jsRsTAibq2Zt1lEXBYRd5XjTdsZY6vUKfvJEfHX8vzfGBFvbWeMrRIRL4qIX0XEHRFxW0R8sJzfK+e+Xvm7/vxHxPCIuCYibirLfko5v1fOfb3yd/257xMRwyLijxHxk3K6ree+55say0cY3QnsTXGri2uBIzPz9rYGVpGImAuMz8yeuKdLROwBPAp8NzN3LOedBjyUmTPKxHvTzPxoO+NshTplPxl4NDNPb2dsrRYRWwFbZeYNEbExcD1wCHAMvXHu65X/MLr8/EdEABtm5qMRsR5wFfBB4O30xrmvV/596fJz3yci/g0YD2ySmQe0+zPfGi8fYdRTMvNK4KF+sw8GZpWvZ1F8IXWdOmXvCZk5PzNvKF8/AtxB8cSMXjn39crf9bLwaDm5XjkkvXPu65W/J0TEtsD+wJk1s9t67k28fIRRAr+MiOvLpwX0olGZOR+KLyhgyzbHU7XpEXFz2RTZlc0ttSJiDLAz8Ad68Nz3Kz/0wPkvm5puBBYCl2VmT537OuWHHjj3wJeA44Gna+a19dybeEEMMK9n/hsA3piZuwD7Af9aNkepd3wdeCkwDpgPfL694bRWRGwE/Aj4UGYubXc8VRug/D1x/jNzRWaOo3hSyoSI2LHdMVWpTvm7/txHxAHAwsy8vt2x1DLxavIRRt0qMx8oxwuBH1M0vfaaBWUfmL6+MAvbHE9lMnNB+aH8NPAtuvj8l/1bfgR8LzMvLGf3zLkfqPy9dP4BMnMJcAVF/6aeOfd9asvfI+f+jcBBZV/mc4E3R8Q5tPncm3j18COMImLDsqMtEbEhsA9w6+BrdaWLgSnl6ynARW2MpVJ9Hz6lt9Gl57/sYPxt4I7M/ELNWz1x7uuVvxfOf0SMjIgR5esNgL2AOfTOuR+w/L1w7jPzxMzcNjPHUHy3X56ZR9Hmc9+WO9d3kh5/hNEo4MfFZzLrAt/PzJ+3N6TWiogfABOBLSJiHvBJYAZwfkS8G7gPmNy+CFunTtknRsQ4iub1ucC/tC3A1nojcDRwS9nXBeBj9Mi5p375j+yB878VMKv8Bfs6wPmZ+ZOIuJreOPf1yn92D5z7etr6d9/zt5OQJEmqik2NkiRJFTHxkiRJqoiJlyRJUkVMvCRJkipi4iVJklQREy9JdUXE5hFxYzn8LSL+WjO9fr9lPxQRz29im1dExPjWRf2c/Z0cEcdVsJ/dI+K28ths0MTyZ0XEoUPcx+9WPUJJncDES1Jdmbk4M8eVjxv5BvDFvunyofK1PgQ0TLzWJlFo9nPyHcDp5bF5vBXxZOau/eeV92eStJYw8ZI0JBExKSL+GBG3lA/XfV5EHAtsDfwqIn5VLvf1iLiurAU6pYntzo2IUyLihnLbryjnr1RjFRG3RsSYcpgTEWeW874XEXtFxG8j4q6IqH0Eyk4RcXk5/z012/pIRFxbPij4lHLemIi4IyLOAG5g5UeK1Sv/VOAw4N8j4nsDlO2d5T5uioiza97aIyJ+FxF399V+RcRGETG75jgcXLOdR8vxxIj4VUR8n+KmqBtGxKXl9m+NiMMbHW9J7dHzd66XNCTDgbOASZl5Z0R8F3hfZn4pIv4N2DMzF5XLnpSZD5U1MrMjYmxm3txg+4syc5eIeD9wHDC1wfIvo7jr9DSKx3/9X2A34CCKO7MfUi43FngDsCHwx4i4FNgR2J7iGXUBXBzFQ+LvA3YA3pWZ76/dWUQMVv7dgJ9k5gX91nk1cBLFA+kXRcRmNW9vVcb7CorHmFwALAPelplLI2IL4PcRcXE+927XE4AdM/OeiPg/wAOZuX+5zxc0OG6S2sQaL0lDMQy4JzPvLKdnAXvUWfawiLgB+CPwauBVTWy/7+HV1wNjmlj+nsy8pXzQ723A7DJBuaXf+hdl5uNlUvgriqRln3L4I0XN1isoEjGAezPz9wPsbweaL3+fNwMX9CWkmflQzXv/k5lPZ+btFI/wgiIJ/I+IuBn4X2CbmvdqXZOZ95SvbwH2ioj/jIjdM/PvDWKS1CbWeEkain80s1BEvJiixup1mflwRJxFUVvWyBPleAXPfj49xcr/JA4fYHmAp2umn2blz7f+tUVJkeB8NjO/2S/2MdQvZ9QPva4YYP99nui3HBR9xUYCr83M5RExl4GP3TMxlrVvrwXeCnw2In6ZmZ9ahVgltZg1XpKGYjgwJiJeVk4fDfy6fP0IsHH5ehOKxODvETEK2G819jkX2AUgInYBXrwK2zg4IoZHxOYUDwq/FvgF8M8RsVG57W0iYssG25lD/fLXM5ui9m/zcj+bNVj+BcDCMunaE9iuwfJExNbAY5l5DnA65fGS1Hms8ZI0FMuAdwE/jIh1KRKYb5TvzQR+FhHzM3PPiPgjRfPf3cBvV2OfPwLeGRE3lvu7s8HyA7kGuBQYDZyamQ8AD0TEK4GrIwLgUeAoitq2AWXmsoioV/5669wWEZ8Bfh0RKyiaNo8ZZJXvAZdExHXAjRTJXiOvAT4XEU8Dy4H3NbGOpDaI5/bXlCRJUivY1ChJklQREy9JkqSKmHhJkiRVxMRLkiSpIiZekiRJFTHxkiRJqoiJlyRJUkVMvCRJkiry/wFj897oLvYXwgAAAABJRU5ErkJggg==\n", + "image/png": 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\n", 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", 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\n", 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\n", + "image/png": 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", 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\n", + "image/png": 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\n", 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", "text/plain": [ - "
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" ] }, - "metadata": { - "needs_background": "light" - }, + "metadata": {}, "output_type": "display_data" } ], @@ -998,7 +1792,7 @@ }, { "cell_type": "code", - "execution_count": 27, + "execution_count": 129, "metadata": {}, "outputs": [], "source": [ @@ -1007,7 +1801,7 @@ }, { "cell_type": "code", - "execution_count": 28, + "execution_count": 131, "metadata": {}, "outputs": [ { @@ -1065,7 +1859,7 @@ "124 3.3 0 3000.0 " ] }, - "execution_count": 28, + "execution_count": 131, "metadata": {}, "output_type": "execute_result" } @@ -1078,7 +1872,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 137, "metadata": {}, "outputs": [], "source": [ @@ -1103,7 +1897,7 @@ " \n", " bm2 = X_bm.copy()\n", " for f, d in zip(features, deltas):\n", - " bm2[___] += ___\n", + " bm2[f] += d\n", " return model.predict(bm2).item() - model.predict(X_bm).item()" ] }, @@ -1123,7 +1917,7 @@ }, { "cell_type": "code", - "execution_count": 30, + "execution_count": 147, "metadata": {}, "outputs": [ { @@ -1132,7 +1926,7 @@ "[-1, -2, -3, -4, -5, -6, -7, -8, -9, -10]" ] }, - "execution_count": 30, + "execution_count": 147, "metadata": {}, "output_type": "execute_result" } @@ -1143,7 +1937,7 @@ }, { "cell_type": "code", - "execution_count": 31, + "execution_count": 149, "metadata": {}, "outputs": [], "source": [ @@ -1153,7 +1947,7 @@ }, { "cell_type": "code", - "execution_count": 32, + "execution_count": 159, "metadata": {}, "outputs": [ { @@ -1171,7 +1965,7 @@ " -1.8115942028985472]" ] }, - "execution_count": 32, + "execution_count": 159, "metadata": {}, "output_type": "execute_result" } @@ -1182,9 +1976,20 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 165, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ "#Code task 3#\n", "#Create two plots, side by side, for the predicted ticket price change (delta) for each\n", @@ -1193,16 +1998,45 @@ "#There are two things to do here:\n", "#1 - use a list comprehension to create a list of the number of runs closed from `runs_delta`\n", "#2 - use a list comprehension to create a list of predicted revenue changes from `price_deltas`\n", - "runs_closed = [-1 * ___ for ___ in runs_delta] #1\n", + "runs_closed = [-1 * i for i in runs_delta] #1\n", "fig, ax = plt.subplots(1, 2, figsize=(10, 5))\n", "fig.subplots_adjust(wspace=0.5)\n", "ax[0].plot(runs_closed, price_deltas, 'o-')\n", "ax[0].set(xlabel='Runs closed', ylabel='Change ($)', title='Ticket price')\n", - "revenue_deltas = [5 * expected_visitors * ___ for ___ in ___] #2\n", + "revenue_deltas = [5 * expected_visitors * i for i in price_deltas] #2\n", "ax[1].plot(runs_closed, revenue_deltas, 'o-')\n", "ax[1].set(xlabel='Runs closed', ylabel='Change ($)', title='Revenue');" ] }, + { + "cell_type": "code", + "execution_count": 157, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "[0.0,\n", + " -710144.9275362412,\n", + " -1166666.666666675,\n", + " -1166666.666666675,\n", + " -1166666.666666675,\n", + " -2206521.7391304336,\n", + " -2206521.7391304336,\n", + " -2206521.7391304336,\n", + " -2992753.62318841,\n", + " -3170289.855072458]" + ] + }, + "execution_count": 157, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "revenue_deltas" + ] + }, { "cell_type": "markdown", "metadata": {}, @@ -1226,20 +2060,20 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 167, "metadata": {}, "outputs": [], "source": [ "#Code task 4#\n", "#Call `predict_increase` with a list of the features 'Runs', 'vertical_drop', and 'total_chairs'\n", "#and associated deltas of 1, 150, and 1\n", - "ticket2_increase = ___(['Runs', ___, ___], [1, ___, ___])\n", + "ticket2_increase = predict_increase(['Runs', 'vertical_drop', 'total_chairs'], [1, 150, 1])\n", "revenue2_increase = 5 * expected_visitors * ticket2_increase" ] }, { "cell_type": "code", - "execution_count": 35, + "execution_count": 190, "metadata": {}, "outputs": [ { @@ -1272,19 +2106,19 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 171, "metadata": {}, "outputs": [], "source": [ "#Code task 5#\n", "#Repeat scenario 2 conditions, but add an increase of 2 to `Snow Making_ac`\n", - "ticket3_increase = predict_increase(['Runs', 'vertical_drop', 'total_chairs', ___], [1, 150, 1, ___])\n", + "ticket3_increase = predict_increase(['Runs', 'vertical_drop', 'total_chairs', 'Snow Making_ac'], [1, 150, 1, 2])\n", "revenue3_increase = 5 * expected_visitors * ticket3_increase" ] }, { "cell_type": "code", - "execution_count": 37, + "execution_count": 177, "metadata": {}, "outputs": [ { @@ -1324,13 +2158,24 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 179, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "0.0" + ] + }, + "execution_count": 179, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "#Code task 6#\n", "#Predict the increase from adding 0.2 miles to `LongestRun_mi` and 4 to `Snow Making_ac`\n", - "predict_increase([___, ___], [___, ___])" + "predict_increase(['LongestRun_mi', 'Snow Making_ac'], [.2, 4])" ] }, { @@ -1358,7 +2203,29 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "**A: 1** Your answer here" + "**A: 1** \n", + "- Big Mountain currently charges 81 USD per ticket.\n", + "- Based on pricing across the marketplace, Big Mountain could potentially raise to to 95.87 USD/ticket if improvements were made.\n", + "- Ticket prices would also need to be lowered if closures are made.\n", + "- The following scenarios were examined.\n", + "- Without knowing specific operating costs for different improvements or closures, it is difficult to predict potential profit margin increases.\n", + "- However, revenue changes are discussed in each of the following scenarios.\n", + "\n", + "- Scenario 1\n", + " - Recommend closing the 5 least used runs.\n", + " - Closing these runs would require reducing ticket prices by 0.67 USD.\n", + " - Each year, assuming an average of each visitor buying 5 tickets throughout the season, revenue would decrease by 1,166,667 USD\n", + " - Even with the reduced ticket prices, profit could increase if the annual operating cost for these 5 runs is more than 1,166,667 USD\n", + " \n", + "- Scenario 2\n", + " - Recommended improvements include adding a new run, increasing the vertical drop by 150 feet, and installing an additional chair lift.\n", + " - These improvements support raising ticket prices by 1.99/USD per ticket.\n", + " - Annual costs for a new chair lift is 1,540,000 USD. \n", + " - Additional revenue the first year, assuming an average of each visitor buying 5 tickets throughout the season = 3,474,638 USD\n", + " - Our model suggests that these changes could results in a profit increase if the initial costs and annual ongoing operating costs for these improvements are less than 3,474,638 USD.\n", + "\n", + "- Scenario 3\n", + " - Adding 2 additional snow making acres does not support increasing ticket prices." ] }, { @@ -1379,15 +2246,20 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "**A: 2** Your answer here" + "**A: 2** \n", + "\n", + "- As mentioned above it is difficult to provide a detail prediction about profit margin increases for each scenario.\n", + "- If additional operating costs data is provided, the model can be improved.\n", + "- This made reduce the modeled ticket price increase because we can take into account estimated operating costs.\n", + "- Going forward, we can build a web page where different scenarios entered to help make these ticket price decisions." ] } ], "metadata": { "kernelspec": { - "display_name": "Python 3", + "display_name": "Python [conda env:base] *", "language": "python", - "name": "python3" + "name": "conda-base-py" }, "language_info": { "codemirror_mode": { @@ -1399,7 +2271,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.7.9" + "version": "3.12.7" }, "toc": { "base_numbering": 1, diff --git a/Notebooks/Untitled.ipynb b/Notebooks/Untitled.ipynb new file mode 100644 index 000000000..363fcab7e --- /dev/null +++ b/Notebooks/Untitled.ipynb @@ -0,0 +1,6 @@ +{ + "cells": [], + "metadata": {}, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/Notebooks/sb_utils.py b/Notebooks/sb_utils.py new file mode 100644 index 000000000..94372eb88 --- /dev/null +++ b/Notebooks/sb_utils.py @@ -0,0 +1,59 @@ +import pandas as pd +import os +import pickle + + +# This utility was created because students were getting confused when they ran +# their notebooks twice, the previous write-to-file code would do nothing and say +# nothing. The students thought the file was over-written when in fact, it was not - +# generating hidden bugs in subsequent notebooks. + +def save_file(data, fname, dname): + """Save a datafile (data) to a specific location (dname) and filename (fname) + + Currently valid formats are limited to CSV or PKL.""" + + if not os.path.exists(dname): + os.mkdir(dname) + print(f'Directory {dname} was created.') + + fpath = os.path.join(dname, fname) + + + if os.path.exists(fpath): + print("A file already exists with this name.\n") + + yesno = None + while yesno != "Y" and yesno != "N": + yesno = input('Do you want to overwrite? (Y/N)').strip()[0].capitalize() + if yesno == "Y": + print(f'Writing file. "{fpath}"') + _save_file(data, fpath) + break # Not required + elif yesno == "N": + print('\nPlease re-run this cell with a new filename.') + break # Not required + else: + print('\nUnknown input, please enter "Y" or "N".') + + else: # path does not exist, ok to save the file + print(f'Writing file. "{fpath}"') + _save_file(data, fpath) + + + + + + +def _save_file(data, fpath): + valid_ftypes = ['.csv', '.pkl'] + + assert (fpath[-4:] in valid_ftypes), "Invalid file type. Use '.csv' or '.pkl'" + + # Figure out what kind of file we're dealing with by name + if fpath[-3:] == 'csv': + data.to_csv(fpath, index=False) + elif fpath[-3:] == 'pkl': + with open(fpath, 'wb') as f: + pickle.dump(data, f) + \ No newline at end of file diff --git a/data/ski_data_cleaned.csv b/data/ski_data_cleaned.csv new file mode 100644 index 000000000..4259e45d8 --- /dev/null +++ b/data/ski_data_cleaned.csv @@ -0,0 +1,278 @@ +Name,Region,state,summit_elev,vertical_drop,base_elev,trams,fastSixes,fastQuads,quad,triple,double,surface,total_chairs,Runs,TerrainParks,LongestRun_mi,SkiableTerrain_ac,Snow Making_ac,daysOpenLastYear,yearsOpen,averageSnowfall,AdultWeekend,projectedDaysOpen,NightSkiing_ac +Alyeska Resort,Alaska,Alaska,3939,2500,250,1,0,2,2,0,0,2,7,76.0,2.0,1.0,1610.0,113.0,150.0,60.0,669.0,85.0,150.0,550.0 +Eaglecrest Ski Area,Alaska,Alaska,2600,1540,1200,0,0,0,0,0,4,0,4,36.0,1.0,2.0,640.0,60.0,45.0,44.0,350.0,53.0,90.0, +Hilltop Ski Area,Alaska,Alaska,2090,294,1796,0,0,0,0,1,0,2,3,13.0,1.0,1.0,30.0,30.0,150.0,36.0,69.0,34.0,152.0,30.0 +Arizona Snowbowl,Arizona,Arizona,11500,2300,9200,0,1,0,2,2,1,2,8,55.0,4.0,2.0,777.0,104.0,122.0,81.0,260.0,89.0,122.0, +Sunrise Park Resort,Arizona,Arizona,11100,1800,9200,0,0,1,2,3,1,0,7,65.0,2.0,1.2,800.0,80.0,115.0,49.0,250.0,78.0,104.0,80.0 +Yosemite Ski & Snowboard Area,Northern California,California,7800,600,7200,0,0,0,0,1,3,1,5,10.0,2.0,0.4,88.0,,110.0,84.0,300.0,47.0,107.0, +Dodge Ridge,Sierra Nevada,California,8200,1600,6600,0,0,0,1,2,5,4,12,67.0,5.0,2.0,862.0,,,69.0,350.0,78.0,140.0, +Donner Ski Ranch,Sierra Nevada,California,8012,750,7031,0,0,0,0,1,5,2,8,52.0,2.0,1.5,505.0,60.0,163.0,82.0,400.0,75.0,170.0, +Mammoth Mountain Ski Area,Sierra Nevada,California,11053,3100,7953,3,2,9,1,6,4,0,25,154.0,7.0,3.0,3500.0,700.0,243.0,66.0,400.0,159.0,, +Mt. Shasta Ski Park,Sierra Nevada,California,6890,1435,5500,0,0,0,0,3,0,1,4,32.0,2.0,1.1,425.0,225.0,140.0,34.0,300.0,59.0,130.0, +Mountain High,Sierra Nevada,California,8200,1600,6600,0,0,2,2,2,5,3,14,59.0,1.0,1.6,290.0,275.0,118.0,95.0,108.0,84.0,150.0,73.0 +Mt. Baldy,Sierra Nevada,California,8600,2100,6500,0,0,0,0,0,4,0,4,26.0,,2.5,400.0,80.0,175.0,67.0,178.0,69.0,200.0, +Ski China Peak,Sierra Nevada,California,8709,1679,7030,0,0,0,1,4,2,4,11,45.0,1.0,2.2,1400.0,150.0,140.0,62.0,300.0,83.0,144.0, +Snow Valley,Sierra Nevada,California,7841,1041,6800,0,0,0,0,5,6,1,12,28.0,6.0,1.2,240.0,188.0,111.0,82.0,160.0,79.0,143.0,164.0 +Soda Springs,Sierra Nevada,California,7352,652,6700,0,0,0,0,1,1,2,4,18.0,,0.4,200.0,20.0,150.0,83.0,400.0,50.0,144.0, +Sugar Bowl Resort,Sierra Nevada,California,8383,1500,6883,1,0,5,3,1,0,2,12,105.0,3.0,3.0,1650.0,375.0,151.0,80.0,500.0,125.0,150.0, +Tahoe Donner,Sierra Nevada,California,7350,600,6750,0,0,0,1,1,0,3,5,14.0,2.0,1.0,120.0,,150.0,48.0,400.0,69.0,144.0, +Arapahoe Basin Ski Area,Colorado,Colorado,13050,2530,10780,0,0,1,2,1,2,3,9,145.0,3.0,1.5,1428.0,125.0,230.0,73.0,350.0,85.0,233.0, +Aspen / Snowmass,Colorado,Colorado,12510,4406,8104,3,1,15,4,3,5,9,40,336.0,10.0,5.3,5517.0,658.0,138.0,72.0,300.0,179.0,138.0, +Copper Mountain Resort,Colorado,Colorado,12313,2738,9712,1,2,4,0,4,4,9,24,150.0,6.0,1.7,2527.0,364.0,164.0,47.0,300.0,158.0,164.0, +Purgatory,Colorado,Colorado,10822,2029,8793,0,1,2,0,3,3,3,12,101.0,9.0,1.3,1605.0,250.0,130.0,54.0,260.0,89.0,130.0, +Howelsen Hill,Colorado,Colorado,7136,440,6696,0,0,0,0,0,1,3,4,17.0,1.0,6.0,50.0,25.0,100.0,104.0,150.0,25.0,100.0,10.0 +Loveland,Colorado,Colorado,13010,2210,10800,0,0,1,3,3,2,1,10,94.0,1.0,2.0,1800.0,240.0,205.0,82.0,422.0,79.0,184.0, +Monarch Mountain,Colorado,Colorado,11952,1162,10790,0,0,0,1,0,4,2,7,64.0,2.0,1.0,800.0,,143.0,80.0,350.0,89.0,136.0, +Powderhorn,Colorado,Colorado,9850,1650,8200,0,0,1,0,0,2,2,5,42.0,2.0,1.5,1600.0,42.0,111.0,53.0,250.0,71.0,110.0, +Silverton Mountain,Colorado,Colorado,13487,3087,10400,0,0,0,0,0,1,0,1,,,1.5,1819.0,,175.0,17.0,400.0,79.0,181.0, +Cooper,Colorado,Colorado,11700,1200,10500,0,0,0,0,1,1,2,4,41.0,1.0,1.0,400.0,,130.0,74.0,260.0,56.0,130.0, +Ski Granby Ranch,Colorado,Colorado,9202,1000,8202,0,0,2,0,1,1,1,5,40.0,1.0,0.6,406.0,170.0,116.0,36.0,220.0,84.0,92.0,100.0 +Sunlight Mountain Resort,Colorado,Colorado,9895,2010,7885,0,0,0,0,1,2,0,3,67.0,1.0,2.5,680.0,30.0,100.0,53.0,250.0,65.0,135.0, +Telluride,Colorado,Colorado,13150,4425,8725,2,0,6,1,2,2,4,17,148.0,3.0,4.6,2000.0,220.0,131.0,47.0,280.0,139.0,137.0, +Wolf Creek Ski Area,Colorado,Colorado,11904,1604,10300,0,0,3,1,2,1,3,10,120.0,,2.0,1600.0,5.0,130.0,80.0,430.0,72.0,150.0, +Mohawk Mountain,Connecticut,Connecticut,1600,650,950,0,0,0,0,5,0,3,8,25.0,,1.5,107.0,100.0,,72.0,92.0,65.0,110.0,64.0 +Mount Southington Ski Area,Connecticut,Connecticut,525,425,100,0,0,0,0,2,2,3,7,14.0,2.0,0.3,51.0,51.0,63.0,55.0,80.0,60.0,95.0,51.0 +Powder Ridge Park,Connecticut,Connecticut,720,550,170,0,0,0,0,1,2,2,5,19.0,4.0,0.5,80.0,68.0,80.0,60.0,80.0,55.0,100.0,40.0 +Ski Sundown,Connecticut,Connecticut,1075,625,450,0,0,0,0,3,0,2,5,16.0,2.0,1.0,70.0,70.0,84.0,50.0,45.0,62.0,95.0,66.0 +Woodbury Ski Area,Connecticut,Connecticut,730,300,430,0,0,0,0,0,1,4,5,12.0,2.0,0.2,50.0,50.0,126.0,57.0,70.0,42.0,180.0,35.0 +Bogus Basin,Idaho,Idaho,7582,1800,5800,0,0,3,0,1,3,4,11,91.0,3.0,1.5,2600.0,,134.0,77.0,250.0,64.0,130.0,165.0 +Brundage Mountain Resort,Idaho,Idaho,7640,1800,5840,0,0,1,0,4,0,1,6,51.0,2.0,3.2,1920.0,2.0,126.0,58.0,320.0,70.0,, +Kelly Canyon Ski Area,Idaho,Idaho,6600,1000,5600,0,0,0,0,0,4,2,6,51.0,1.0,1.3,740.0,,,62.0,200.0,42.0,, +Lookout Pass Ski Area,Idaho,Idaho,5650,1150,4500,0,0,0,0,1,3,0,4,35.0,2.0,1.5,540.0,,113.0,84.0,400.0,47.0,140.0, +Magic Mountain Ski Area,Idaho,Idaho,7200,700,6500,0,0,0,0,0,1,2,3,11.0,,1.5,280.0,,65.0,81.0,180.0,32.0,70.0, +Pebble Creek Ski Area,Idaho,Idaho,8560,2200,6360,0,0,0,0,3,0,0,3,54.0,2.0,1.3,1100.0,30.0,85.0,70.0,250.0,47.0,91.0,30.0 +Schweitzer,Idaho,Idaho,6400,2400,4000,0,1,2,0,1,3,2,9,92.0,3.0,2.1,2900.0,47.0,136.0,56.0,300.0,81.0,,100.0 +Silver Mountain,Idaho,Idaho,6300,2200,4100,1,0,0,1,2,2,1,7,80.0,2.0,2.5,1600.0,225.0,130.0,29.0,300.0,62.0,193.0,20.0 +Soldier Mountain Ski Area,Idaho,Idaho,7200,1400,5800,0,0,0,0,0,2,1,3,36.0,,0.4,1142.0,,60.0,71.0,,43.0,, +Tamarack Resort,Idaho,Idaho,7700,2800,4900,0,0,2,2,0,0,2,6,48.0,3.0,1.5,1020.0,200.0,,15.0,300.0,71.0,150.0, +Chestnut Mountain Resort,Illinois,Illinois,1040,475,565,0,0,0,2,4,0,3,9,22.0,3.0,0.2,139.0,139.0,87.0,60.0,50.0,55.0,112.0,139.0 +Ski Snowstar Winter Sports Park,Illinois,Illinois,790,262,528,0,0,0,2,0,2,2,6,15.0,1.0,0.8,28.0,28.0,56.0,38.0,38.0,35.0,86.0,28.0 +Villa Olivia,Illinois,Illinois,500,180,320,0,0,0,1,0,0,6,7,7.0,1.0,0.1,15.0,15.0,,53.0,25.0,40.0,70.0,15.0 +Paoli Peaks,Indiana,Indiana,900,300,600,0,0,1,1,3,1,2,8,15.0,2.0,0.4,65.0,65.0,75.0,41.0,18.0,45.0,80.0,65.0 +Perfect North Slopes,Indiana,Indiana,800,400,400,0,0,0,2,3,0,6,11,23.0,2.0,1.0,100.0,100.0,82.0,39.0,24.0,52.0,90.0,100.0 +Mt. Crescent Ski Area,Iowa,Iowa,1500,300,1200,0,0,0,1,0,1,0,2,11.0,1.0,0.2,50.0,50.0,,58.0,30.0,39.0,,50.0 +Seven Oaks,Iowa,Iowa,975,275,800,0,0,0,0,2,0,2,4,11.0,2.0,1.0,35.0,35.0,100.0,22.0,40.0,40.0,100.0,35.0 +Sundown Mountain,Iowa,Iowa,1059,475,584,0,0,0,1,1,2,2,6,21.0,2.0,0.6,55.0,55.0,,46.0,45.0,46.0,,55.0 +Big Squaw Mountain Ski Resort,Maine,Maine,3200,660,1750,0,0,0,0,1,0,0,1,29.0,,0.8,,,67.0,6.0,,30.0,58.0, +Camden Snow Bowl,Maine,Maine,1080,850,150,0,0,0,0,1,1,1,3,26.0,2.0,1.0,100.0,48.0,68.0,83.0,69.0,43.0,70.0,48.0 +Lost Valley,Maine,Maine,495,240,255,0,0,0,0,0,2,2,4,22.0,2.0,0.3,45.0,45.0,87.0,58.0,50.0,55.0,104.0,45.0 +Mt. Abram Ski Resort,Maine,Maine,2250,1150,1050,0,0,0,0,0,2,3,5,54.0,1.0,0.5,640.0,175.0,120.0,59.0,125.0,49.0,120.0, +New Hermon Mountain,Maine,Maine,450,350,100,0,0,0,0,0,1,2,3,20.0,,1.9,70.0,70.0,102.0,55.0,90.0,32.0,117.0,45.0 +Shawnee Peak,Maine,Maine,1900,1350,600,0,0,0,1,2,1,2,6,43.0,3.0,0.8,239.0,234.0,97.0,81.0,110.0,75.0,103.0,110.0 +Sugarloaf,Maine,Maine,4237,2820,1417,0,0,2,3,1,5,2,13,162.0,4.0,3.5,1240.0,618.0,159.0,68.0,200.0,99.0,155.0, +Sunday River,Maine,Maine,3140,2340,800,1,0,4,5,3,1,1,15,135.0,5.0,3.0,870.0,552.0,165.0,60.0,167.0,105.0,169.0,140.0 +Wisp,Maryland,Maryland,3115,700,2415,0,0,0,2,5,0,5,12,34.0,3.0,1.5,172.0,118.0,121.0,64.0,100.0,79.0,120.0,118.0 +Berkshire East,Massachusetts,Massachusetts,1720,1180,540,0,0,0,2,1,1,2,6,47.0,2.0,2.0,180.0,165.0,120.0,68.0,120.0,68.0,120.0,80.0 +Blandford Ski Area,Massachusetts,Massachusetts,1685,465,1035,0,0,0,0,0,3,2,5,29.0,2.0,0.5,132.0,70.0,,83.0,50.0,45.0,,70.0 +Blue Hills Ski Area,Massachusetts,Massachusetts,635,309,326,0,0,0,0,0,1,3,4,16.0,1.0,,60.0,60.0,,19.0,,45.0,, +Bousquet Ski Area,Massachusetts,Massachusetts,1875,750,1125,0,0,0,0,0,3,2,5,23.0,1.0,1.0,200.0,98.0,,19.0,83.0,49.0,,100.0 +Bradford Ski Area,Massachusetts,Massachusetts,1548,248,1300,0,0,0,0,2,0,8,10,15.0,1.0,0.3,48.0,48.0,,71.0,,55.0,, +Jiminy Peak,Massachusetts,Massachusetts,2380,1150,1230,0,1,0,2,3,1,2,9,45.0,3.0,2.0,167.0,163.0,121.0,71.0,90.0,81.0,120.0,104.0 +Nashoba Valley,Massachusetts,Massachusetts,440,240,200,0,0,0,0,3,1,7,11,17.0,2.0,0.5,52.0,52.0,112.0,55.0,55.0,58.0,126.0,52.0 +Otis Ridge Ski Area,Massachusetts,Massachusetts,1700,400,1300,0,0,0,0,0,1,3,4,11.0,1.0,1.0,60.0,55.0,106.0,73.0,70.0,40.0,106.0,35.0 +Ski Butternut,Massachusetts,Massachusetts,1800,1000,800,0,0,0,3,1,1,6,11,22.0,2.0,1.5,110.0,110.0,107.0,56.0,115.0,60.0,110.0, +Wachusett Mountain Ski Area,Massachusetts,Massachusetts,2006,1000,1006,0,0,3,0,1,0,4,8,27.0,2.0,1.5,112.0,112.0,,57.0,100.0,71.0,120.0,104.0 +Alpine Valley Ski Area,Michigan,Michigan,500,240,126,0,0,0,1,2,5,6,14,25.0,3.0,0.2,100.0,100.0,,57.0,20.0,47.0,,100.0 +Apple Mountain,Michigan,Michigan,820,220,600,0,0,0,1,0,0,5,6,12.0,,,80.0,42.0,,58.0,52.0,35.0,,80.0 +Big Powderhorn Mountain,Michigan,Michigan,1800,600,1200,0,0,0,0,0,9,1,10,45.0,2.0,1.0,253.0,228.0,100.0,55.0,214.0,69.0,108.0, +Bittersweet Ski Area,Michigan,Michigan,850,350,450,0,0,0,1,7,0,4,12,20.0,2.0,0.2,100.0,100.0,80.0,36.0,90.0,48.0,,100.0 +Big Snow Resort - Blackjack,Michigan,Michigan,850,465,385,0,0,0,0,0,4,2,6,26.0,2.0,1.0,170.0,86.0,95.0,42.0,210.0,65.0,115.0, +Boyne Highlands,Michigan,Michigan,1290,552,745,0,0,1,3,4,0,2,10,55.0,4.0,1.2,435.0,400.0,97.0,56.0,140.0,98.0,120.0,150.0 +Caberfae Peaks,Michigan,Michigan,1569,485,1060,0,0,0,1,2,1,1,5,34.0,2.0,1.2,200.0,200.0,118.0,82.0,140.0,49.0,130.0,150.0 +Cannonsburg,Michigan,Michigan,1100,250,850,0,0,0,1,1,1,7,10,21.0,5.0,0.1,100.0,,100.0,54.0,100.0,37.0,100.0, +Crystal Mountain,Michigan,Michigan,1132,375,757,0,0,1,3,2,0,2,8,58.0,3.0,0.3,102.0,96.0,120.0,63.0,132.0,64.0,135.0,56.0 +Big Snow Resort - Indianhead Mountain,Michigan,Michigan,1935,638,1297,0,0,0,1,1,5,2,9,32.0,2.0,1.0,240.0,150.0,120.0,60.0,204.0,49.0,120.0, +Mont Ripley,Michigan,Michigan,1140,440,700,0,0,0,0,0,2,2,4,25.0,2.0,0.8,112.0,112.0,114.0,83.0,275.0,49.0,100.0,100.0 +Mount Bohemia,Michigan,Michigan,1500,900,600,0,0,0,0,1,1,0,2,,,2.3,585.0,,83.0,19.0,273.0,68.0,100.0, +Mt. Brighton,Michigan,Michigan,1330,230,1100,0,0,0,2,3,0,8,13,25.0,5.0,0.1,130.0,130.0,111.0,59.0,60.0,59.0,100.0,130.0 +Mt. Holiday Ski Area,Michigan,Michigan,440,200,240,0,0,0,0,0,2,2,4,12.0,,0.1,45.0,45.0,100.0,70.0,120.0,34.0,90.0,45.0 +Mount Holly,Michigan,Michigan,1105,350,755,0,0,1,2,3,1,6,13,19.0,,0.1,100.0,100.0,,63.0,42.0,45.0,102.0,100.0 +Mulligan's Hollow Ski Bowl,Michigan,Michigan,700,130,570,0,0,0,0,0,0,5,5,6.0,,0.2,10.0,10.0,,19.0,60.0,20.0,,10.0 +Norway Mountain,Michigan,Michigan,1335,500,835,0,0,0,0,1,2,3,6,17.0,1.0,1.4,186.0,186.0,110.0,45.0,100.0,45.0,110.0,40.0 +Nubs Nob Ski Area,Michigan,Michigan,1338,427,911,0,0,0,3,4,2,1,10,53.0,3.0,0.9,248.0,248.0,133.0,61.0,135.0,85.0,130.0,160.0 +Pine Mountain,Michigan,Michigan,1650,500,1150,0,0,0,0,1,2,1,4,28.0,1.0,0.5,160.0,160.0,110.0,80.0,60.0,45.0,126.0,80.0 +Schuss Mountain at Shanty Creek,Michigan,Michigan,1125,450,675,0,0,0,5,0,0,3,8,42.0,3.0,1.0,70.0,70.0,94.0,57.0,160.0,78.0,111.0,70.0 +Ski Brule,Michigan,Michigan,1860,500,1360,0,0,0,0,0,5,7,12,17.0,3.0,1.0,150.0,150.0,164.0,62.0,150.0,49.0,165.0,40.0 +Snow Snake Mountain Ski Area,Michigan,Michigan,1230,210,1020,0,0,0,0,1,0,5,6,12.0,2.0,0.0,40.0,40.0,,72.0,,35.0,,40.0 +Swiss Valley,Michigan,Michigan,1200,225,975,0,0,0,2,1,0,4,7,11.0,2.0,0.1,60.0,60.0,89.0,51.0,60.0,42.0,80.0,60.0 +The Homestead,Michigan,Michigan,900,320,580,0,0,0,0,2,1,2,5,15.0,1.0,0.2,16.0,16.0,47.0,34.0,150.0,50.0,42.0,16.0 +Timber Ridge,Michigan,Michigan,850,250,600,0,0,0,1,1,2,4,8,16.0,2.0,0.3,50.0,50.0,80.0,58.0,,45.0,,50.0 +Afton Alps,Minnesota,Minnesota,1530,350,1180,0,0,0,1,3,14,4,22,48.0,5.0,0.5,250.0,250.0,135.0,56.0,60.0,60.0,135.0,250.0 +Andes Tower Hills Ski Area,Minnesota,Minnesota,1620,290,1330,0,0,0,1,2,0,3,6,15.0,2.0,0.2,35.0,35.0,100.0,38.0,55.0,45.0,110.0,35.0 +Buck Hill,Minnesota,Minnesota,1225,309,919,0,0,0,2,1,0,5,8,16.0,,0.2,45.0,45.0,115.0,65.0,60.0,47.0,112.0,45.0 +Buena Vista Ski Area,Minnesota,Minnesota,1510,230,1280,0,0,0,0,2,2,2,6,17.0,,0.3,30.0,30.0,57.0,70.0,78.0,44.0,60.0,30.0 +Coffee Mill Ski & Snowboard Resort,Minnesota,Minnesota,1150,425,725,0,0,0,0,0,2,1,3,14.0,1.0,1.0,40.0,35.0,57.0,39.0,48.0,37.0,56.0,35.0 +Elm Creek Winter Recreation Area,Minnesota,Minnesota,928,60,868,0,0,0,0,0,0,3,3,3.0,,1.0,15.0,20.0,105.0,13.0,45.0,17.0,102.0,15.0 +Giants Ridge Resort,Minnesota,Minnesota,1972,500,1472,0,0,1,1,1,2,2,7,35.0,2.0,0.8,202.0,202.0,120.0,35.0,85.0,58.0,125.0,121.0 +Hyland Ski & Snowboard Area,Minnesota,Minnesota,1075,175,900,0,0,0,2,1,0,5,8,14.0,1.0,1.0,35.0,35.0,110.0,61.0,55.0,35.34,115.0,35.0 +Lutsen Mountains,Minnesota,Minnesota,1688,825,800,1,1,0,0,1,4,1,8,62.0,2.0,2.0,393.0,231.0,135.0,71.0,120.0,84.0,127.0, +Mount Kato Ski Area,Minnesota,Minnesota,540,240,300,0,0,0,5,0,3,2,10,19.0,4.0,1.0,55.0,55.0,115.0,43.0,50.0,46.0,120.0,50.0 +Powder Ridge Ski Area,Minnesota,Minnesota,790,300,500,0,0,0,1,0,2,3,6,15.0,4.0,,60.0,60.0,97.0,58.0,45.0,48.0,113.0,60.0 +Spirit Mountain,Minnesota,Minnesota,1320,700,620,0,0,1,1,2,1,2,7,22.0,3.0,1.0,175.0,175.0,100.0,45.0,100.0,59.0,125.0,144.0 +Welch Village,Minnesota,Minnesota,1060,360,700,0,0,0,3,1,4,2,10,50.0,1.0,0.8,125.0,125.0,114.0,54.0,45.0,60.0,122.0,100.0 +Wild Mountain Ski & Snowboard Area,Minnesota,Minnesota,1113,300,813,0,0,0,4,0,0,4,8,26.0,4.0,0.9,100.0,100.0,130.0,47.0,50.0,55.0,140.0,100.0 +Hidden Valley Ski Area,Missouri,Missouri,2566,310,2316,0,0,0,2,2,0,3,7,17.0,,0.1,30.0,30.0,,37.0,26.0,49.0,,17.0 +Snow Creek,Missouri,Missouri,1100,300,800,0,0,0,0,2,1,2,5,14.0,2.0,0.3,30.0,30.0,69.0,33.0,20.0,47.0,85.0,30.0 +Blacktail Mountain Ski Area,Montana,Montana,6676,1440,5236,0,0,0,0,1,2,1,4,27.0,,0.7,1000.0,,,21.0,250.0,42.0,, +Bridger Bowl,Montana,Montana,8700,2600,6100,0,0,0,1,6,1,3,11,105.0,2.0,1.5,2000.0,100.0,122.0,64.0,350.0,63.0,133.0, +Discovery Ski Area,Montana,Montana,8150,2380,5770,0,0,0,0,5,2,1,8,74.0,1.0,1.5,2400.0,25.0,116.0,46.0,225.0,49.0,116.0, +Great Divide,Montana,Montana,7330,1580,5750,0,0,0,0,0,5,1,6,110.0,6.0,3.0,1600.0,150.0,94.0,78.0,180.0,48.0,100.0,100.0 +Lost Trail - Powder Mtn,Montana,Montana,8200,1800,6400,0,0,0,0,0,5,3,8,69.0,2.0,2.5,1800.0,,84.0,81.0,325.0,46.0,80.0, +Maverick Mountain,Montana,Montana,8520,2020,6500,0,0,0,0,0,1,1,2,22.0,,1.3,255.0,,,83.0,160.0,39.0,, +Montana Snowbowl,Montana,Montana,7600,2600,5000,0,0,0,0,0,2,2,4,37.0,,1.2,950.0,20.0,,58.0,300.0,50.0,,10.0 +Red Lodge Mountain,Montana,Montana,9416,2400,7016,0,0,2,0,1,3,1,7,70.0,2.0,2.5,1635.0,496.0,142.0,59.0,250.0,67.0,136.0, +Showdown Montana,Montana,Montana,8200,1400,6800,0,0,0,0,1,2,1,4,36.0,1.0,1.8,640.0,,86.0,83.0,250.0,47.0,85.0, +Teton Pass Ski Resort,Montana,Montana,7200,1010,6190,0,0,0,0,0,1,2,3,43.0,1.0,3.0,330.0,,40.0,54.0,250.0,39.0,150.0, +Big Mountain Resort,Montana,Montana,6817,2353,4464,0,0,3,2,6,0,3,14,105.0,4.0,3.3,3000.0,600.0,123.0,72.0,333.0,81.0,123.0,600.0 +Diamond Peak,Sierra Nevada,Nevada,8540,1840,6700,0,0,1,2,0,3,1,7,30.0,3.0,2.5,655.0,492.0,100.0,53.0,300.0,99.0,122.0, +Elko SnoBowl,Nevada,Nevada,7000,700,6300,0,0,0,0,0,1,1,2,10.0,,1.0,60.0,2.0,19.0,23.0,24.0,20.0,30.0, +Lee Canyon,Nevada,Nevada,11289,860,8510,0,0,0,2,1,0,0,3,24.0,1.0,0.3,195.0,50.0,144.0,56.0,161.0,70.0,150.0, +Mt. Rose - Ski Tahoe,Sierra Nevada,Nevada,9700,1800,8260,0,2,0,2,2,0,2,8,65.0,5.0,2.5,1200.0,330.0,152.0,55.0,350.0,135.0,150.0, +Attitash,New Hampshire,New Hampshire,2350,1750,600,0,0,2,1,3,2,1,9,68.0,3.0,3.0,311.0,240.0,115.0,54.0,120.0,89.0,130.0, +Black Mountain,New Hampshire,New Hampshire,2350,1100,1250,0,0,0,0,1,1,3,5,45.0,,1.6,143.0,120.0,110.0,84.0,125.0,59.0,107.0, +Bretton Woods,New Hampshire,New Hampshire,3100,1500,1600,0,0,4,1,1,0,3,9,63.0,2.0,2.0,464.0,427.0,180.0,46.0,200.0,99.0,180.0,45.0 +Cannon Mountain,New Hampshire,New Hampshire,4080,2180,1900,1,0,1,2,3,1,3,11,97.0,3.0,2.3,285.0,192.0,124.0,81.0,160.0,79.0,143.0, +Crotched Mountain,New Hampshire,New Hampshire,2066,1016,1050,0,0,1,1,1,1,1,5,25.0,3.0,1.2,100.0,100.0,105.0,16.0,105.0,69.0,100.0,100.0 +Dartmouth Skiway,New Hampshire,New Hampshire,1943,969,974,0,0,0,1,0,1,2,4,28.0,1.0,1.1,107.0,54.0,104.0,63.0,100.0,50.0,105.0, +Gunstock,New Hampshire,New Hampshire,2300,1400,900,0,0,1,2,2,0,1,6,55.0,4.0,1.5,227.0,176.0,106.0,82.0,120.0,92.0,,60.0 +King Pine,New Hampshire,New Hampshire,850,350,500,0,0,0,0,3,0,3,6,17.0,2.0,0.3,48.0,45.0,105.0,57.0,120.0,58.0,107.0,23.0 +Mount Sunapee,New Hampshire,New Hampshire,2743,1510,1233,0,0,2,1,2,1,4,10,66.0,4.0,0.8,232.0,215.0,130.0,71.0,100.0,93.0,136.0, +Pats Peak,New Hampshire,New Hampshire,1460,770,690,0,0,0,0,4,2,5,11,28.0,3.0,1.5,115.0,115.0,109.0,56.0,100.0,72.0,112.0,93.0 +Ragged Mountain Resort,New Hampshire,New Hampshire,2250,1250,1000,0,1,1,0,1,0,3,6,57.0,3.0,0.7,250.0,200.0,,54.0,100.0,84.0,140.0, +Waterville Valley,New Hampshire,New Hampshire,4004,2020,1984,0,0,2,0,2,3,4,11,62.0,4.0,1.9,265.0,220.0,142.0,54.0,148.0,93.0,142.0, +Whaleback Mountain,New Hampshire,New Hampshire,1800,700,1100,0,0,0,0,0,1,3,4,30.0,1.0,1.0,85.0,60.0,105.0,64.0,110.0,45.0,105.0,55.0 +Wildcat Mountain,New Hampshire,New Hampshire,4062,2112,1950,0,0,1,0,3,0,1,5,48.0,,2.8,225.0,200.0,156.0,61.0,200.0,89.0,150.0, +Mountain Creek Resort,New Jersey,New Jersey,1480,1040,440,1,0,2,2,1,1,3,10,46.0,3.0,2.0,167.0,167.0,90.0,54.0,65.0,79.99,100.0,167.0 +Angel Fire Resort,New Mexico,New Mexico,10677,2077,8600,0,0,2,0,0,3,2,7,81.0,3.0,3.0,560.0,230.0,101.0,53.0,210.0,77.0,101.0,50.0 +Enchanted Forest Ski Area,New Mexico,New Mexico,10078,400,9820,0,0,0,0,0,0,0,0,33.0,,2.5,600.0,,130.0,34.0,240.0,20.0,140.0, +Pajarito Mountain Ski Area,New Mexico,New Mexico,10441,1410,9031,0,0,0,1,1,3,1,6,45.0,2.0,0.6,750.0,35.0,89.0,62.0,163.0,49.0,117.0, +Red River,New Mexico,New Mexico,10350,1600,8750,0,0,0,1,3,1,2,7,63.0,3.0,2.5,209.0,,110.0,60.0,214.0,79.0,, +Sandia Peak,New Mexico,New Mexico,10378,1700,8678,0,0,0,0,0,4,1,5,39.0,1.0,2.0,200.0,30.0,32.0,82.0,100.0,55.0,38.0, +Sipapu Ski Resort,New Mexico,New Mexico,9255,1055,8200,0,0,0,1,2,0,3,6,42.0,4.0,0.5,200.0,140.0,127.0,67.0,190.0,47.0,143.0, +Ski Apache,New Mexico,New Mexico,11500,1900,9600,1,0,0,2,6,0,2,11,55.0,3.0,2.0,750.0,270.0,133.0,58.0,185.0,74.0,124.0, +Ski Santa Fe,New Mexico,New Mexico,12075,1725,10350,0,0,0,1,2,2,2,7,83.0,1.0,3.0,660.0,275.0,107.0,73.0,225.0,80.0,130.0, +Taos Ski Valley,New Mexico,New Mexico,12481,3281,9200,1,0,1,3,4,1,4,14,111.0,1.0,5.0,1294.0,647.0,137.0,64.0,300.0,110.0,136.0, +Belleayre,New York,New York,3429,1404,2025,1,0,1,1,1,2,2,8,50.0,2.0,2.2,175.0,168.0,154.0,70.0,130.0,72.0,150.0, +Brantling Ski Slopes,New York,New York,850,250,600,0,0,0,0,0,0,5,5,10.0,,0.1,20.0,16.0,,19.0,110.0,32.0,, +Bristol Mountain,New York,New York,2200,1200,1000,0,0,2,1,1,1,1,6,34.0,3.0,2.0,160.0,148.0,129.0,55.0,60.0,76.0,129.0,154.0 +Buffalo Ski Club Ski Area,New York,New York,3429,500,2025,0,0,0,0,0,2,4,6,43.0,1.0,,225.0,150.0,,12.0,,50.0,,100.0 +Catamount,New York,New York,2000,1000,1000,0,0,0,1,1,2,3,7,36.0,5.0,2.0,133.0,130.0,100.0,80.0,108.0,69.0,90.0,55.0 +Dry Hill Ski Area,New York,New York,950,300,650,0,0,0,0,0,1,2,3,7.0,1.0,0.2,35.0,26.0,,55.0,125.0,35.0,,26.0 +Gore Mountain,New York,New York,3600,2537,998,1,0,2,2,3,2,4,14,110.0,7.0,4.5,439.0,338.0,142.0,55.0,150.0,88.0,,15.0 +Greek Peak,New York,New York,2100,952,1148,0,0,0,1,1,4,2,8,56.0,4.0,1.5,220.0,184.0,110.0,62.0,122.0,63.2,113.0,175.0 +Holiday Mountain,New York,New York,1550,400,1150,0,0,0,1,0,1,2,4,9.0,,0.4,37.0,37.0,75.0,60.0,50.0,42.0,85.0,37.0 +Holiday Valley,New York,New York,2250,750,1500,0,0,3,8,0,0,2,13,60.0,5.0,1.0,290.0,266.0,116.0,62.0,180.0,78.0,129.0,189.0 +Holimont Ski Area,New York,New York,2260,700,1560,0,0,1,1,2,3,1,8,53.0,3.0,1.5,135.0,135.0,110.0,57.0,180.0,75.0,119.0, +Hunt Hollow Ski Club,New York,New York,2030,825,1000,0,0,0,0,1,1,1,3,19.0,1.0,1.0,400.0,400.0,,52.0,130.0,58.0,75.0,400.0 +Hunter Mountain,New York,New York,3200,1600,1600,0,2,1,2,2,2,4,13,67.0,4.0,2.0,320.0,320.0,148.0,59.0,120.0,89.0,155.0, +Kissing Bridge,New York,New York,1700,550,1150,0,0,0,2,1,4,3,10,39.0,5.0,0.5,700.0,550.0,103.0,59.0,120.0,60.0,100.0,650.0 +Labrador Mt.,New York,New York,1825,700,1125,0,0,0,0,1,2,1,4,23.0,1.0,1.0,250.0,237.0,,62.0,125.0,59.0,100.0,180.0 +Maple Ski Ridge,New York,New York,1200,450,750,0,0,0,0,1,1,1,3,10.0,,0.3,25.0,25.0,,57.0,,38.0,,20.0 +McCauley Mountain Ski Center,New York,New York,2250,633,1563,0,0,0,0,0,1,4,5,23.0,1.0,0.3,70.0,55.0,105.0,61.0,200.0,30.0,105.0, +Mount Peter Ski Area,New York,New York,1250,450,750,0,0,0,1,0,2,2,5,14.0,1.0,1.0,69.0,69.0,100.0,83.0,50.0,54.0,100.0,69.0 +Oak Mountain,New York,New York,2400,650,1750,0,0,0,1,0,0,3,4,22.0,1.0,1.2,46.0,18.0,,71.0,120.0,40.0,,12.0 +Peek'n Peak,New York,New York,1800,400,1400,0,0,0,0,8,0,2,10,27.0,4.0,2.4,110.0,110.0,110.0,55.0,225.0,63.0,,110.0 +Plattekill Mountain,New York,New York,3500,1100,2400,0,0,0,0,1,1,2,4,38.0,1.0,2.0,110.0,75.0,65.0,26.0,175.0,67.0,65.0, +Royal Mountain Ski Area,New York,New York,1800,550,1250,0,0,0,0,0,3,0,3,14.0,,0.3,35.0,28.0,,63.0,90.0,45.0,, +Snow Ridge,New York,New York,2000,650,1350,0,0,0,0,0,4,2,6,21.0,2.0,0.8,130.0,65.0,73.0,74.0,230.0,48.0,100.0,40.0 +Song Mountain,New York,New York,1940,700,1240,0,0,0,0,1,1,3,5,24.0,,0.4,93.0,70.0,90.0,55.0,125.0,59.0,122.0,70.0 +Swain,New York,New York,1970,650,1320,0,0,0,3,0,1,1,5,35.0,3.0,1.0,130.0,90.0,102.0,72.0,120.0,59.0,100.0,80.0 +Thunder Ridge,New York,New York,1270,500,770,0,0,0,0,1,2,3,6,30.0,,0.4,100.0,100.0,121.0,60.0,,57.0,121.0,100.0 +Titus Mountain,New York,New York,2025,1200,825,0,0,0,0,2,6,2,10,50.0,3.0,2.0,200.0,150.0,101.0,59.0,150.0,49.0,100.0,70.0 +Toggenburg Mountain,New York,New York,2000,700,1300,0,0,0,0,1,1,3,5,22.0,2.0,0.4,85.0,,,66.0,130.0,55.0,122.0,73.0 +West Mountain,New York,New York,1470,1010,460,0,0,0,0,1,2,2,5,29.0,1.0,0.6,124.0,105.0,,58.0,80.0,59.0,120.0,105.0 +Whiteface Mountain Resort,New York,New York,4650,3430,1220,1,0,1,1,2,5,2,12,86.0,5.0,2.1,288.0,220.0,122.0,61.0,168.0,96.0,141.0, +Willard Mountain,New York,New York,1415,505,910,0,0,0,0,0,2,3,5,16.0,,0.4,50.0,35.0,85.0,19.0,80.0,46.0,120.0,35.0 +Windham Mountain,New York,New York,3100,1600,1500,0,1,2,0,3,1,5,12,54.0,6.0,2.0,285.0,280.0,123.0,59.0,105.0,95.0,130.0,56.0 +Woods Valley Ski Area,New York,New York,1400,500,900,0,0,0,0,0,2,4,6,21.0,,0.3,25.0,16.0,,55.0,180.0,39.0,,15.0 +Appalachian Ski Mountain,North Carolina,North Carolina,4000,365,3635,0,0,0,2,0,1,2,5,12.0,3.0,0.5,27.0,27.0,100.0,57.0,50.0,64.0,100.0,27.0 +Cataloochee Ski Area,North Carolina,North Carolina,5400,740,4660,0,0,0,1,1,1,2,5,18.0,2.0,1.0,50.0,50.0,141.0,58.0,50.0,70.0,108.0,50.0 +Sapphire Valley,North Carolina,North Carolina,3450,200,3200,0,0,0,1,0,0,2,3,,1.0,1.0,8.0,8.0,53.0,55.0,24.0,43.0,60.0,8.0 +Beech Mountain Resort,North Carolina,North Carolina,5506,830,4675,0,0,0,3,0,3,2,8,17.0,1.0,1.0,95.0,95.0,98.0,52.0,31.0,68.0,,95.0 +Sugar Mountain Resort,North Carolina,North Carolina,5300,1200,4100,0,1,0,0,1,4,2,8,21.0,1.0,1.5,125.0,125.0,114.0,50.0,77.0,75.0,120.0,95.0 +Wolf Ridge Ski Resort,North Carolina,North Carolina,4700,720,4000,0,0,0,1,0,1,2,4,15.0,1.0,0.6,65.0,65.0,,49.0,65.0,65.0,100.0,60.0 +Alpine Valley,Ohio,Ohio,1500,230,1260,0,0,0,1,2,1,1,5,11.0,1.0,0.2,72.0,72.0,105.0,53.0,120.0,43.0,,72.0 +Boston Mills,Ohio,Ohio,871,264,631,0,0,0,0,4,2,2,8,7.0,2.0,0.3,40.0,40.0,92.0,56.0,51.0,44.0,110.0,40.0 +Brandywine,Ohio,Ohio,871,240,631,0,0,0,2,7,2,5,16,11.0,2.0,0.3,85.0,85.0,92.0,56.0,51.0,44.0,110.0,85.0 +Mad River Mountain,Ohio,Ohio,1460,300,1160,0,0,0,1,2,3,6,12,20.0,4.0,0.5,144.0,144.0,99.0,57.0,36.0,44.0,90.0,144.0 +Snow Trails,Ohio,Ohio,1475,301,1174,0,0,0,0,4,2,3,9,17.0,3.0,0.2,80.0,80.0,101.0,58.0,50.0,52.0,70.0,80.0 +Anthony Lakes Mountain Resort,Oregon,Oregon,8000,900,7100,0,0,0,0,1,0,2,3,21.0,2.0,1.5,1100.0,,75.0,56.0,300.0,40.0,80.0, +Cooper Spur,Mt. Hood,Oregon,4000,350,3500,0,0,0,0,0,1,1,2,10.0,,0.1,50.0,,78.0,66.0,100.0,39.0,90.0, +Hoodoo Ski Area,Oregon,Oregon,5703,1035,4668,0,0,0,3,1,1,0,5,34.0,,0.4,806.0,,80.0,81.0,350.0,59.0,108.0,200.0 +Mt. Ashland,Oregon,Oregon,7533,1150,6383,0,0,0,0,2,2,1,5,23.0,2.0,1.0,220.0,,94.0,55.0,300.0,52.0,92.0,40.0 +Mt. Bachelor,Oregon,Oregon,9065,3365,5700,0,0,8,0,3,0,0,11,101.0,5.0,4.0,4318.0,20.0,185.0,61.0,462.0,99.0,185.0, +Mt. Hood Skibowl,Mt. Hood,Oregon,5100,1500,3600,0,0,0,0,0,4,5,9,65.0,2.0,3.0,960.0,29.0,125.0,82.0,300.0,70.0,144.0,317.0 +Willamette Pass,Oregon,Oregon,6683,1563,5120,0,1,0,0,3,0,1,5,29.0,,2.1,555.0,60.0,3.0,78.0,430.0,60.0,100.0, +Bear Creek Mountain Resort,Pennsylvania,Pennsylvania,1100,510,600,0,0,0,3,1,0,2,6,23.0,3.0,1.0,86.0,86.0,91.0,52.0,30.0,60.0,90.0,86.0 +Ski Big Bear,Pennsylvania,Pennsylvania,1250,650,600,0,0,0,0,0,4,2,6,18.0,1.0,1.5,26.0,26.0,75.0,43.0,69.0,62.0,75.0,26.0 +Big Boulder,Pennsylvania,Pennsylvania,2175,600,1700,0,0,0,0,2,5,1,8,16.0,8.0,,55.0,55.0,76.0,72.0,50.0,65.0,95.0,55.0 +Blue Knob,Pennsylvania,Pennsylvania,3146,1072,2074,0,0,0,0,2,2,2,6,34.0,1.0,2.0,100.0,84.0,87.0,56.0,120.0,68.0,105.0,42.0 +Blue Mountain Resort,Pennsylvania,Pennsylvania,1600,1082,460,0,1,1,1,1,3,9,16,39.0,5.0,1.2,164.0,164.0,122.0,42.0,33.0,65.0,112.0,164.0 +Camelback Mountain Resort,Pennsylvania,Pennsylvania,2100,800,1250,0,0,2,0,3,5,6,16,37.0,5.0,1.0,166.0,166.0,100.0,56.0,50.0,70.0,100.0,160.0 +Elk Mountain Ski Resort,Pennsylvania,Pennsylvania,2693,1000,1693,0,0,0,1,0,5,1,7,27.0,2.0,0.7,180.0,146.0,,60.0,60.0,69.0,100.0,90.0 +Jack Frost,Pennsylvania,Pennsylvania,2000,600,1400,0,0,0,1,2,5,1,9,20.0,1.0,1.0,100.0,100.0,96.0,47.0,50.0,65.0,105.0, +Liberty,Pennsylvania,Pennsylvania,1190,620,570,0,0,0,5,0,0,3,8,16.0,3.0,1.0,100.0,100.0,107.0,54.0,31.0,77.0,97.0,100.0 +Mount Pleasant of Edinboro,Pennsylvania,Pennsylvania,1540,340,1200,0,0,0,0,1,0,1,2,10.0,,0.5,40.0,35.0,75.0,48.0,100.0,33.0,90.0,35.0 +Roundtop Mountain Resort,Pennsylvania,Pennsylvania,1400,600,800,0,0,0,3,2,0,3,8,20.0,2.0,0.4,103.0,103.0,,55.0,30.0,73.0,,100.0 +Seven Springs,Pennsylvania,Pennsylvania,2994,750,2240,0,2,0,3,5,0,4,14,33.0,7.0,1.2,285.0,285.0,99.0,87.0,135.0,87.0,115.0,200.0 +Shawnee Mountain Ski Area,Pennsylvania,Pennsylvania,1350,700,650,0,0,1,1,0,4,4,10,23.0,2.0,1.6,125.0,125.0,100.0,44.0,50.0,65.0,122.0,120.0 +Ski Sawmill,Pennsylvania,Pennsylvania,2215,515,1700,0,0,0,0,1,1,3,5,14.0,1.0,0.1,15.0,13.0,,50.0,24.0,44.0,90.0,15.0 +Tussey Mountain,Pennsylvania,Pennsylvania,1750,520,1230,0,0,0,1,0,1,3,5,8.0,1.0,0.3,38.0,30.0,100.0,39.0,41.0,45.0,100.0,30.0 +Whitetail Resort,Pennsylvania,Pennsylvania,1800,935,865,0,0,1,3,0,2,2,8,23.0,2.0,1.0,120.0,120.0,116.0,28.0,40.0,71.0,100.0,120.0 +Deer Mountain Ski Resort,South Dakota,South Dakota,6850,940,6040,0,0,0,0,1,1,2,4,63.0,2.0,1.6,500.0,50.0,69.0,51.0,200.0,45.0,81.0, +Terry Peak Ski Area,South Dakota,South Dakota,7100,1100,5900,0,0,3,0,1,0,1,5,30.0,1.0,1.2,450.0,225.0,114.0,65.0,150.0,58.0,120.0, +Ober Gatlinburg Ski Resort,Tennessee,Tennessee,3300,600,2700,0,0,0,2,0,1,1,4,10.0,1.0,1.0,,,83.0,44.0,35.0,65.0,94.0, +Alta Ski Area,Salt Lake City,Utah,11068,2538,8530,0,0,3,0,1,2,0,6,116.0,,1.3,2614.0,140.0,150.0,81.0,545.0,116.0,140.0, +Beaver Mountain,Utah,Utah,8600,1600,7232,0,0,0,0,1,3,1,5,48.0,2.0,0.8,464.0,,120.0,81.0,400.0,50.0,120.0, +Brian Head Resort,Utah,Utah,10970,1548,9600,0,0,1,0,6,1,0,8,71.0,2.0,0.6,650.0,216.0,149.0,54.0,360.0,59.0,148.0, +Brighton Resort,Salt Lake City,Utah,10500,1745,8755,0,0,3,1,1,0,2,7,66.0,4.0,1.2,1050.0,200.0,138.0,83.0,500.0,85.0,138.0,200.0 +Deer Valley Resort,Salt Lake City,Utah,9570,3000,6570,1,0,13,0,5,2,0,21,103.0,,2.8,2026.0,660.0,,39.0,300.0,169.0,, +Eagle Point,Utah,Utah,10600,1500,9100,0,0,0,1,1,2,1,5,40.0,1.0,0.9,650.0,,,9.0,400.0,60.0,109.0, +Powder Mountain,Utah,Utah,9422,2522,6900,0,0,1,4,1,0,3,9,167.0,2.0,3.5,8464.0,,120.0,47.0,500.0,88.0,146.0,300.0 +Snowbasin,Utah,Utah,9350,2900,6450,3,1,2,0,3,0,2,11,107.0,4.0,3.5,3000.0,625.0,143.0,79.0,300.0,115.0,138.0, +Snowbird,Salt Lake City,Utah,11000,3240,7760,1,0,6,0,0,4,3,14,170.0,1.0,2.5,2500.0,,188.0,48.0,500.0,125.0,180.0,2.0 +Solitude Mountain Resort,Salt Lake City,Utah,10488,2494,7994,0,0,4,2,1,1,1,9,80.0,,3.0,1200.0,150.0,161.0,62.0,500.0,119.0,148.0, +Sundance,Utah,Utah,8250,2150,6100,0,0,0,2,2,0,1,5,45.0,1.0,0.6,450.0,112.0,128.0,50.0,320.0,80.0,129.0, +Nordic Valley Resort,Utah,Utah,6400,960,5440,0,0,0,0,0,2,2,4,23.0,1.0,0.4,140.0,84.0,105.0,51.0,300.0,50.0,105.0,140.0 +Bolton Valley,Vermont,Vermont,3150,1704,1446,0,0,0,2,0,3,1,6,71.0,3.0,0.6,300.0,90.0,133.0,53.0,300.0,79.0,132.0,50.0 +Bromley Mountain,Vermont,Vermont,3284,1334,1950,0,0,1,1,0,4,3,9,47.0,1.0,2.5,178.0,153.0,,83.0,168.0,91.0,152.0, +Burke Mountain,Vermont,Vermont,3267,2011,1210,0,0,2,1,0,0,3,6,50.0,3.0,2.2,178.0,125.0,110.0,62.0,217.0,73.0,125.0, +Jay Peak,Vermont,Vermont,3968,2153,1815,1,0,1,3,1,1,2,9,79.0,2.0,3.0,385.0,300.0,155.0,64.0,349.0,89.0,160.0, +Killington Resort,Vermont,Vermont,4241,3050,1165,3,1,5,4,3,1,5,22,155.0,6.0,6.0,1515.0,600.0,192.0,61.0,250.0,119.0,, +Magic Mountain,Vermont,Vermont,2850,1500,1350,0,0,0,0,0,3,3,6,50.0,1.0,1.6,205.0,95.0,76.0,59.0,150.0,74.0,80.0, +Pico Mountain,Vermont,Vermont,3967,1967,2000,0,0,2,0,2,2,1,7,59.0,1.0,4.0,260.0,156.0,,82.0,250.0,81.0,, +Smugglers' Notch Resort,Vermont,Vermont,3640,2610,1030,0,0,0,0,0,6,2,8,78.0,6.0,3.0,1000.0,192.0,136.0,63.0,280.0,79.0,135.0, +Sugarbush,Vermont,Vermont,4083,2600,1483,0,0,5,5,2,1,3,16,111.0,4.0,3.0,581.0,406.0,150.0,61.0,250.0,119.0,156.0, +Suicide Six,Vermont,Vermont,1200,650,550,0,0,0,0,0,2,1,3,24.0,,0.4,100.0,50.0,100.0,85.0,90.0,75.0,106.0, +Bryce Resort,Virginia,Virginia,1750,500,1250,0,0,0,1,0,1,5,7,8.0,,0.4,25.0,25.0,100.0,54.0,30.0,68.0,95.0,20.0 +49 Degrees North,Washington,Washington,5774,1851,3932,0,0,0,1,0,5,1,7,89.0,1.0,2.0,2325.0,,101.0,48.0,301.0,62.0,135.0,250.0 +Bluewood,Washington,Washington,5670,1125,4545,0,0,0,0,2,0,1,3,24.0,2.0,2.0,355.0,,70.0,40.0,300.0,47.0,110.0, +Crystal Mountain,Washington,Washington,7012,3100,4400,1,2,2,1,2,2,0,10,57.0,1.0,2.5,2600.0,10.0,,57.0,486.0,99.0,, +Mt. Baker,Washington,Washington,5000,1500,3500,0,0,0,8,0,0,2,10,38.0,,0.7,1000.0,,143.0,66.0,663.0,60.01,165.0, +Mt. Spokane Ski and Snowboard Park,Washington,Washington,5889,2000,4200,0,0,0,0,1,5,1,7,52.0,3.0,0.6,1704.0,,100.0,81.0,300.0,59.0,103.0,45.0 +The Summit at Snoqualmie,Washington,Washington,3865,1025,2840,0,0,3,3,4,10,7,27,112.0,5.0,0.8,1994.0,5.0,120.0,82.0,428.0,95.0,140.0,541.0 +White Pass,Washington,Washington,6550,2050,4500,0,0,2,1,1,2,2,8,45.0,2.0,2.5,1402.0,30.0,148.0,67.0,400.0,69.0,144.0,90.0 +Canaan Valley Resort,West Virginia,West Virginia,4280,850,3430,0,0,0,1,2,0,1,4,47.0,1.0,1.2,95.0,75.0,,48.0,160.0,68.0,93.0, +Snowshoe Mountain Resort,West Virginia,West Virginia,4848,1500,3348,0,0,3,2,6,0,3,14,60.0,5.0,1.5,257.0,257.0,125.0,46.0,180.0,87.0,138.0,86.0 +Timberline Four Seasons,West Virginia,West Virginia,4265,1000,3268,0,0,0,0,2,1,1,4,40.0,1.0,2.0,100.0,100.0,97.0,37.0,150.0,92.0,115.0,27.0 +Winterplace Ski Resort,West Virginia,West Virginia,3600,603,2997,0,0,0,2,3,2,2,9,27.0,2.0,1.2,90.0,90.0,120.0,36.0,100.0,72.0,120.0,74.0 +Alpine Valley Resort,Wisconsin,Wisconsin,1040,388,820,0,0,3,0,3,1,5,12,21.0,3.0,0.2,90.0,90.0,100.0,55.0,80.0,65.0,120.0,90.0 +Bruce Mound,Wisconsin,Wisconsin,1375,375,1000,0,0,0,0,1,0,4,5,12.0,2.0,0.5,40.0,30.0,42.0,71.0,42.0,25.0,42.0,30.0 +Cascade Mountain,Wisconsin,Wisconsin,1280,460,820,0,0,2,2,3,2,3,12,47.0,4.0,1.1,175.0,175.0,120.0,57.0,56.0,64.0,120.0, +Christie Mountain,Wisconsin,Wisconsin,1650,350,1300,0,0,0,0,0,1,5,6,30.0,4.0,0.8,45.0,41.0,92.0,43.0,48.0,38.0,120.0,35.0 +Devils Head,Wisconsin,Wisconsin,995,500,495,0,0,0,3,1,6,2,12,27.0,1.0,1.0,260.0,260.0,110.0,48.0,45.0,65.0,135.0,200.0 +Grand Geneva,Wisconsin,Wisconsin,1086,211,875,0,0,0,0,0,3,3,6,20.0,1.0,0.2,30.0,30.0,90.0,25.0,25.0,49.0,93.0,30.0 +Granite Peak Ski Area,Wisconsin,Wisconsin,1942,700,1242,0,1,2,0,2,0,2,7,75.0,4.0,0.6,220.0,160.0,136.0,82.0,75.0,92.0,135.0,200.0 +Mount La Crosse,Wisconsin,Wisconsin,1110,516,594,0,0,0,0,0,3,1,4,19.0,1.0,0.4,100.0,100.0,115.0,60.0,40.0,56.0,100.0,90.0 +Nordic Mountain,Wisconsin,Wisconsin,1137,265,872,0,0,0,0,1,1,5,7,18.0,4.0,1.0,60.0,60.0,68.0,43.0,80.0,47.0,90.0,60.0 +Sunburst,Wisconsin,Wisconsin,1100,214,866,0,0,0,0,0,3,6,9,13.0,4.0,0.5,37.0,37.0,99.0,59.0,50.0,44.0,115.0,37.0 +Trollhaugen,Wisconsin,Wisconsin,1200,260,920,0,0,0,2,0,1,5,8,24.0,4.0,0.5,86.0,86.0,130.0,69.0,50.0,54.0,120.0,86.0 +Tyrol Basin,Wisconsin,Wisconsin,1160,300,860,0,0,0,0,3,0,2,5,18.0,5.0,0.5,32.0,32.0,112.0,61.0,41.0,48.0,103.0,32.0 +Whitecap Mountain,Wisconsin,Wisconsin,1750,400,1295,0,0,0,1,0,4,0,5,43.0,1.0,1.0,400.0,300.0,105.0,57.0,200.0,60.0,118.0, +Wilmot Mountain,Wisconsin,Wisconsin,1030,230,800,0,0,0,3,2,2,3,10,23.0,2.0,0.5,135.0,135.0,125.0,81.0,70.0,66.0,139.0,135.0 +Grand Targhee Resort,Wyoming,Wyoming,9920,2270,7851,0,0,2,2,0,0,1,5,95.0,1.0,2.7,2602.0,,152.0,50.0,500.0,90.0,152.0, +Hogadon Basin,Wyoming,Wyoming,8000,640,7400,0,0,0,0,0,1,1,2,28.0,1.0,0.6,92.0,32.0,121.0,61.0,80.0,48.0,95.0, +Sleeping Giant Ski Resort,Wyoming,Wyoming,7428,810,6619,0,0,0,0,1,1,1,3,48.0,1.0,1.0,184.0,18.0,61.0,81.0,310.0,42.0,77.0, +Snow King Resort,Wyoming,Wyoming,7808,1571,6237,0,0,0,1,1,1,0,3,32.0,2.0,1.0,400.0,250.0,121.0,80.0,300.0,59.0,123.0,110.0 +Snowy Range Ski & Recreation Area,Wyoming,Wyoming,9663,990,8798,0,0,0,0,1,3,1,5,33.0,2.0,0.7,75.0,30.0,131.0,59.0,250.0,49.0,, +White Pine Ski Area,Wyoming,Wyoming,9500,1100,8400,0,0,0,0,2,0,0,2,25.0,,0.4,370.0,,,81.0,150.0,49.0,, diff --git a/data/ski_data_step3_features.csv b/data/ski_data_step3_features.csv new file mode 100644 index 000000000..6895fd09a --- /dev/null +++ b/data/ski_data_step3_features.csv @@ -0,0 +1,278 @@ +Name,Region,state,summit_elev,vertical_drop,base_elev,trams,fastSixes,fastQuads,quad,triple,double,surface,total_chairs,Runs,TerrainParks,LongestRun_mi,SkiableTerrain_ac,Snow Making_ac,daysOpenLastYear,yearsOpen,averageSnowfall,AdultWeekend,projectedDaysOpen,NightSkiing_ac,resorts_per_state,resorts_per_100kcapita,resorts_per_100ksq_mile,resort_skiable_area_ac_state_ratio,resort_days_open_state_ratio,resort_terrain_park_state_ratio,resort_night_skiing_state_ratio,total_chairs_runs_ratio,total_chairs_skiable_ratio,fastQuads_runs_ratio,fastQuads_skiable_ratio +Alyeska Resort,Alaska,Alaska,3939,2500,250,1,0,2,2,0,0,2,7,76.0,2.0,1.0,1610.0,113.0,150.0,60.0,669.0,85.0,150.0,550.0,3,0.4100909718472548,0.45086746901037594,0.706140350877193,0.43478260869565216,0.5,0.9482758620689655,0.09210526315789473,0.004347826086956522,0.02631578947368421,0.0012422360248447205 +Eaglecrest Ski Area,Alaska,Alaska,2600,1540,1200,0,0,0,0,0,4,0,4,36.0,1.0,2.0,640.0,60.0,45.0,44.0,350.0,53.0,90.0,,3,0.4100909718472548,0.45086746901037594,0.2807017543859649,0.13043478260869565,0.25,,0.1111111111111111,0.00625,0.0,0.0 +Hilltop Ski Area,Alaska,Alaska,2090,294,1796,0,0,0,0,1,0,2,3,13.0,1.0,1.0,30.0,30.0,150.0,36.0,69.0,34.0,152.0,30.0,3,0.4100909718472548,0.45086746901037594,0.013157894736842105,0.43478260869565216,0.25,0.05172413793103448,0.23076923076923078,0.1,0.0,0.0 +Arizona Snowbowl,Arizona,Arizona,11500,2300,9200,0,1,0,2,2,1,2,8,55.0,4.0,2.0,777.0,104.0,122.0,81.0,260.0,89.0,122.0,,2,0.027477369981550318,1.7545398719185894,0.49270767279644895,0.5147679324894515,0.6666666666666666,,0.14545454545454545,0.010296010296010296,0.0,0.0 +Sunrise Park Resort,Arizona,Arizona,11100,1800,9200,0,0,1,2,3,1,0,7,65.0,2.0,1.2,800.0,80.0,115.0,49.0,250.0,78.0,104.0,80.0,2,0.027477369981550318,1.7545398719185894,0.507292327203551,0.48523206751054854,0.3333333333333333,1.0,0.1076923076923077,0.00875,0.015384615384615385,0.00125 +Yosemite Ski & Snowboard Area,Northern California,California,7800,600,7200,0,0,0,0,1,3,1,5,10.0,2.0,0.4,88.0,,110.0,84.0,300.0,47.0,107.0,,21,0.05314811064920341,12.828736369467608,0.0033913981809773393,0.04017531044558072,0.024691358024691357,,0.5,0.056818181818181816,0.0,0.0 +Dodge Ridge,Sierra Nevada,California,8200,1600,6600,0,0,0,1,2,5,4,12,67.0,5.0,2.0,862.0,,,69.0,350.0,78.0,140.0,,21,0.05314811064920341,12.828736369467608,0.033220286727300756,,0.06172839506172839,,0.1791044776119403,0.013921113689095127,0.0,0.0 +Donner Ski Ranch,Sierra Nevada,California,8012,750,7031,0,0,0,0,1,5,2,8,52.0,2.0,1.5,505.0,60.0,163.0,82.0,400.0,75.0,170.0,,21,0.05314811064920341,12.828736369467608,0.019462000924926778,0.059532505478451424,0.024691358024691357,,0.15384615384615385,0.015841584158415842,0.0,0.0 +Mammoth Mountain Ski Area,Sierra Nevada,California,11053,3100,7953,3,2,9,1,6,4,0,25,154.0,7.0,3.0,3500.0,700.0,243.0,66.0,400.0,159.0,,,21,0.05314811064920341,12.828736369467608,0.1348851549252351,0.0887509130752374,0.08641975308641975,,0.16233766233766234,0.007142857142857143,0.05844155844155844,0.0025714285714285713 +Mt. Shasta Ski Park,Sierra Nevada,California,6890,1435,5500,0,0,0,0,3,0,1,4,32.0,2.0,1.1,425.0,225.0,140.0,34.0,300.0,59.0,130.0,,21,0.05314811064920341,12.828736369467608,0.016378911669492832,0.05113221329437546,0.024691358024691357,,0.125,0.009411764705882352,0.0,0.0 +Mountain High,Sierra Nevada,California,8200,1600,6600,0,0,2,2,2,5,3,14,59.0,1.0,1.6,290.0,275.0,118.0,95.0,108.0,84.0,150.0,73.0,21,0.05314811064920341,12.828736369467608,0.01117619855094805,0.04309715120525932,0.012345679012345678,0.12436115843270869,0.23728813559322035,0.04827586206896552,0.03389830508474576,0.006896551724137931 +Mt. Baldy,Sierra Nevada,California,8600,2100,6500,0,0,0,0,0,4,0,4,26.0,,2.5,400.0,80.0,175.0,67.0,178.0,69.0,200.0,,21,0.05314811064920341,12.828736369467608,0.015415446277169724,0.06391526661796933,,,0.15384615384615385,0.01,0.0,0.0 +Ski China Peak,Sierra Nevada,California,8709,1679,7030,0,0,0,1,4,2,4,11,45.0,1.0,2.2,1400.0,150.0,140.0,62.0,300.0,83.0,144.0,,21,0.05314811064920341,12.828736369467608,0.05395406197009404,0.05113221329437546,0.012345679012345678,,0.24444444444444444,0.007857142857142858,0.0,0.0 +Snow Valley,Sierra Nevada,California,7841,1041,6800,0,0,0,0,5,6,1,12,28.0,6.0,1.2,240.0,188.0,111.0,82.0,160.0,79.0,143.0,164.0,21,0.05314811064920341,12.828736369467608,0.009249267766301835,0.04054054054054054,0.07407407407407407,0.27938671209540034,0.42857142857142855,0.05,0.0,0.0 +Soda Springs,Sierra Nevada,California,7352,652,6700,0,0,0,0,1,1,2,4,18.0,,0.4,200.0,20.0,150.0,83.0,400.0,50.0,144.0,,21,0.05314811064920341,12.828736369467608,0.007707723138584862,0.0547845142439737,,,0.2222222222222222,0.02,0.0,0.0 +Sugar Bowl Resort,Sierra Nevada,California,8383,1500,6883,1,0,5,3,1,0,2,12,105.0,3.0,3.0,1650.0,375.0,151.0,80.0,500.0,125.0,150.0,,21,0.05314811064920341,12.828736369467608,0.06358871589332511,0.05514974433893353,0.037037037037037035,,0.11428571428571428,0.007272727272727273,0.047619047619047616,0.0030303030303030303 +Tahoe Donner,Sierra Nevada,California,7350,600,6750,0,0,0,1,1,0,3,5,14.0,2.0,1.0,120.0,,150.0,48.0,400.0,69.0,144.0,,21,0.05314811064920341,12.828736369467608,0.004624633883150917,0.0547845142439737,0.024691358024691357,,0.35714285714285715,0.041666666666666664,0.0,0.0 +Arapahoe Basin Ski Area,Colorado,Colorado,13050,2530,10780,0,0,1,2,1,2,3,9,145.0,3.0,1.5,1428.0,125.0,230.0,73.0,350.0,85.0,233.0,,22,0.3820282784277661,21.13474359713336,0.032690810860308596,0.07059545733578883,0.04054054054054054,,0.06206896551724138,0.0063025210084033615,0.006896551724137931,0.0007002801120448179 +Aspen / Snowmass,Colorado,Colorado,12510,4406,8104,3,1,15,4,3,5,9,40,336.0,10.0,5.3,5517.0,658.0,138.0,72.0,300.0,179.0,138.0,,22,0.3820282784277661,21.13474359713336,0.12629916212627626,0.0423572744014733,0.13513513513513514,,0.11904761904761904,0.0072503172013775605,0.044642857142857144,0.0027188689505165853 +Copper Mountain Resort,Colorado,Colorado,12313,2738,9712,1,2,4,0,4,4,9,24,150.0,6.0,1.7,2527.0,364.0,164.0,47.0,300.0,158.0,164.0,,22,0.3820282784277661,21.13474359713336,0.05784991529691864,0.05033763044812769,0.08108108108108109,,0.16,0.009497427779976256,0.02666666666666667,0.0015829046299960427 +Purgatory,Colorado,Colorado,10822,2029,8793,0,1,2,0,3,3,3,12,101.0,9.0,1.3,1605.0,250.0,130.0,54.0,260.0,89.0,130.0,,22,0.3820282784277661,21.13474359713336,0.03674282313080903,0.03990178023327195,0.12162162162162163,,0.1188118811881188,0.007476635514018692,0.019801980198019802,0.0012461059190031153 +Howelsen Hill,Colorado,Colorado,7136,440,6696,0,0,0,0,0,1,3,4,17.0,1.0,6.0,50.0,25.0,100.0,104.0,150.0,25.0,100.0,10.0,22,0.3820282784277661,21.13474359713336,0.0011446362346046427,0.030693677102516883,0.013513513513513514,0.02336448598130841,0.23529411764705882,0.08,0.0,0.0 +Loveland,Colorado,Colorado,13010,2210,10800,0,0,1,3,3,2,1,10,94.0,1.0,2.0,1800.0,240.0,205.0,82.0,422.0,79.0,184.0,,22,0.3820282784277661,21.13474359713336,0.041206904445767134,0.06292203806015961,0.013513513513513514,,0.10638297872340426,0.005555555555555556,0.010638297872340425,0.0005555555555555556 +Monarch Mountain,Colorado,Colorado,11952,1162,10790,0,0,0,1,0,4,2,7,64.0,2.0,1.0,800.0,,143.0,80.0,350.0,89.0,136.0,,22,0.3820282784277661,21.13474359713336,0.018314179753674283,0.04389195825659914,0.02702702702702703,,0.109375,0.00875,0.0,0.0 +Powderhorn,Colorado,Colorado,9850,1650,8200,0,0,1,0,0,2,2,5,42.0,2.0,1.5,1600.0,42.0,111.0,53.0,250.0,71.0,110.0,,22,0.3820282784277661,21.13474359713336,0.036628359507348565,0.03406998158379374,0.02702702702702703,,0.11904761904761904,0.003125,0.023809523809523808,0.000625 +Silverton Mountain,Colorado,Colorado,13487,3087,10400,0,0,0,0,0,1,0,1,,,1.5,1819.0,,175.0,17.0,400.0,79.0,181.0,,22,0.3820282784277661,21.13474359713336,0.041641866214916896,0.053713934929404544,,,,0.0005497526113249038,,0.0 +Cooper,Colorado,Colorado,11700,1200,10500,0,0,0,0,1,1,2,4,41.0,1.0,1.0,400.0,,130.0,74.0,260.0,56.0,130.0,,22,0.3820282784277661,21.13474359713336,0.009157089876837141,0.03990178023327195,0.013513513513513514,,0.0975609756097561,0.01,0.0,0.0 +Ski Granby Ranch,Colorado,Colorado,9202,1000,8202,0,0,2,0,1,1,1,5,40.0,1.0,0.6,406.0,170.0,116.0,36.0,220.0,84.0,92.0,100.0,22,0.3820282784277661,21.13474359713336,0.009294446224989698,0.03560466543891958,0.013513513513513514,0.2336448598130841,0.125,0.012315270935960592,0.05,0.0049261083743842365 +Sunlight Mountain Resort,Colorado,Colorado,9895,2010,7885,0,0,0,0,1,2,0,3,67.0,1.0,2.5,680.0,30.0,100.0,53.0,250.0,65.0,135.0,,22,0.3820282784277661,21.13474359713336,0.01556705279062314,0.030693677102516883,0.013513513513513514,,0.04477611940298507,0.004411764705882353,0.0,0.0 +Telluride,Colorado,Colorado,13150,4425,8725,2,0,6,1,2,2,4,17,148.0,3.0,4.6,2000.0,220.0,131.0,47.0,280.0,139.0,137.0,,22,0.3820282784277661,21.13474359713336,0.0457854493841857,0.040208717004297116,0.04054054054054054,,0.11486486486486487,0.0085,0.04054054054054054,0.003 +Wolf Creek Ski Area,Colorado,Colorado,11904,1604,10300,0,0,3,1,2,1,3,10,120.0,,2.0,1600.0,5.0,130.0,80.0,430.0,72.0,150.0,,22,0.3820282784277661,21.13474359713336,0.036628359507348565,0.03990178023327195,,,0.08333333333333333,0.00625,0.025,0.001875 +Mohawk Mountain,Connecticut,Connecticut,1600,650,950,0,0,0,0,5,0,3,8,25.0,,1.5,107.0,100.0,,72.0,92.0,65.0,110.0,64.0,5,0.14024151833321272,90.20386072523904,0.2988826815642458,,,0.25,0.32,0.07476635514018691,0.0,0.0 +Mount Southington Ski Area,Connecticut,Connecticut,525,425,100,0,0,0,0,2,2,3,7,14.0,2.0,0.3,51.0,51.0,63.0,55.0,80.0,60.0,95.0,51.0,5,0.14024151833321272,90.20386072523904,0.1424581005586592,0.17847025495750707,0.2,0.19921875,0.5,0.13725490196078433,0.0,0.0 +Powder Ridge Park,Connecticut,Connecticut,720,550,170,0,0,0,0,1,2,2,5,19.0,4.0,0.5,80.0,68.0,80.0,60.0,80.0,55.0,100.0,40.0,5,0.14024151833321272,90.20386072523904,0.22346368715083798,0.22662889518413598,0.4,0.15625,0.2631578947368421,0.0625,0.0,0.0 +Ski Sundown,Connecticut,Connecticut,1075,625,450,0,0,0,0,3,0,2,5,16.0,2.0,1.0,70.0,70.0,84.0,50.0,45.0,62.0,95.0,66.0,5,0.14024151833321272,90.20386072523904,0.19553072625698323,0.23796033994334279,0.2,0.2578125,0.3125,0.07142857142857142,0.0,0.0 +Woodbury Ski Area,Connecticut,Connecticut,730,300,430,0,0,0,0,0,1,4,5,12.0,2.0,0.2,50.0,50.0,126.0,57.0,70.0,42.0,180.0,35.0,5,0.14024151833321272,90.20386072523904,0.13966480446927373,0.35694050991501414,0.2,0.13671875,0.4166666666666667,0.1,0.0,0.0 +Bogus Basin,Idaho,Idaho,7582,1800,5800,0,0,3,0,1,3,4,11,91.0,3.0,1.5,2600.0,,134.0,77.0,250.0,64.0,130.0,165.0,12,0.6714920833881253,14.359391640440833,0.15857526225908758,0.11795774647887323,0.1111111111111111,0.39759036144578314,0.12087912087912088,0.004230769230769231,0.03296703296703297,0.001153846153846154 +Brundage Mountain Resort,Idaho,Idaho,7640,1800,5840,0,0,1,0,4,0,1,6,51.0,2.0,3.2,1920.0,2.0,126.0,58.0,320.0,70.0,,,12,0.6714920833881253,14.359391640440833,0.11710173212978775,0.11091549295774648,0.07407407407407407,,0.11764705882352941,0.003125,0.0196078431372549,0.0005208333333333333 +Kelly Canyon Ski Area,Idaho,Idaho,6600,1000,5600,0,0,0,0,0,4,2,6,51.0,1.0,1.3,740.0,,,62.0,200.0,42.0,,,12,0.6714920833881253,14.359391640440833,0.0451329592583557,,0.037037037037037035,,0.11764705882352941,0.008108108108108109,0.0,0.0 +Lookout Pass Ski Area,Idaho,Idaho,5650,1150,4500,0,0,0,0,1,3,0,4,35.0,2.0,1.5,540.0,,113.0,84.0,400.0,47.0,140.0,,12,0.6714920833881253,14.359391640440833,0.032934862161502806,0.0994718309859155,0.07407407407407407,,0.11428571428571428,0.007407407407407408,0.0,0.0 +Magic Mountain Ski Area,Idaho,Idaho,7200,700,6500,0,0,0,0,0,1,2,3,11.0,,1.5,280.0,,65.0,81.0,180.0,32.0,70.0,,12,0.6714920833881253,14.359391640440833,0.017077335935594046,0.05721830985915493,,,0.2727272727272727,0.010714285714285714,0.0,0.0 +Pebble Creek Ski Area,Idaho,Idaho,8560,2200,6360,0,0,0,0,3,0,0,3,54.0,2.0,1.3,1100.0,30.0,85.0,70.0,250.0,47.0,91.0,30.0,12,0.6714920833881253,14.359391640440833,0.0670895340326909,0.07482394366197183,0.07407407407407407,0.07228915662650602,0.05555555555555555,0.0027272727272727275,0.0,0.0 +Schweitzer,Idaho,Idaho,6400,2400,4000,0,1,2,0,1,3,2,9,92.0,3.0,2.1,2900.0,47.0,136.0,56.0,300.0,81.0,,100.0,12,0.6714920833881253,14.359391640440833,0.17687240790436692,0.11971830985915492,0.1111111111111111,0.24096385542168675,0.09782608695652174,0.003103448275862069,0.021739130434782608,0.000689655172413793 +Silver Mountain,Idaho,Idaho,6300,2200,4100,1,0,0,1,2,2,1,7,80.0,2.0,2.5,1600.0,225.0,130.0,29.0,300.0,62.0,193.0,20.0,12,0.6714920833881253,14.359391640440833,0.09758477677482313,0.11443661971830986,0.07407407407407407,0.04819277108433735,0.0875,0.004375,0.0,0.0 +Soldier Mountain Ski Area,Idaho,Idaho,7200,1400,5800,0,0,0,0,0,2,1,3,36.0,,0.4,1142.0,,60.0,71.0,,43.0,,,12,0.6714920833881253,14.359391640440833,0.06965113442303,0.0528169014084507,,,0.08333333333333333,0.002626970227670753,0.0,0.0 +Tamarack Resort,Idaho,Idaho,7700,2800,4900,0,0,2,2,0,0,2,6,48.0,3.0,1.5,1020.0,200.0,,15.0,300.0,71.0,150.0,,12,0.6714920833881253,14.359391640440833,0.062210295193949744,,0.1111111111111111,,0.125,0.0058823529411764705,0.041666666666666664,0.00196078431372549 +Chestnut Mountain Resort,Illinois,Illinois,1040,475,565,0,0,0,2,4,0,3,9,22.0,3.0,0.2,139.0,139.0,87.0,60.0,50.0,55.0,112.0,139.0,4,0.03156610245678186,6.906792830749041,0.7277486910994765,0.3936651583710407,0.5,0.7277486910994765,0.4090909090909091,0.06474820143884892,0.0,0.0 +Ski Snowstar Winter Sports Park,Illinois,Illinois,790,262,528,0,0,0,2,0,2,2,6,15.0,1.0,0.8,28.0,28.0,56.0,38.0,38.0,35.0,86.0,28.0,4,0.03156610245678186,6.906792830749041,0.14659685863874344,0.25339366515837103,0.16666666666666666,0.14659685863874344,0.4,0.21428571428571427,0.0,0.0 +Villa Olivia,Illinois,Illinois,500,180,320,0,0,0,1,0,0,6,7,7.0,1.0,0.1,15.0,15.0,,53.0,25.0,40.0,70.0,15.0,4,0.03156610245678186,6.906792830749041,0.07853403141361257,,0.16666666666666666,0.07853403141361257,1.0,0.4666666666666667,0.0,0.0 +Paoli Peaks,Indiana,Indiana,900,300,600,0,0,1,1,3,1,2,8,15.0,2.0,0.4,65.0,65.0,75.0,41.0,18.0,45.0,80.0,65.0,2,0.02970788680522722,5.491488193300384,0.3939393939393939,0.47770700636942676,0.5,0.3939393939393939,0.5333333333333333,0.12307692307692308,0.06666666666666667,0.015384615384615385 +Perfect North Slopes,Indiana,Indiana,800,400,400,0,0,0,2,3,0,6,11,23.0,2.0,1.0,100.0,100.0,82.0,39.0,24.0,52.0,90.0,100.0,2,0.02970788680522722,5.491488193300384,0.6060606060606061,0.5222929936305732,0.5,0.6060606060606061,0.4782608695652174,0.11,0.0,0.0 +Mt. Crescent Ski Area,Iowa,Iowa,1500,300,1200,0,0,0,1,0,1,0,2,11.0,1.0,0.2,50.0,50.0,,58.0,30.0,39.0,,50.0,3,0.0950850535804277,5.3311534839088015,0.35714285714285715,,0.2,0.35714285714285715,0.18181818181818182,0.04,0.0,0.0 +Seven Oaks,Iowa,Iowa,975,275,800,0,0,0,0,2,0,2,4,11.0,2.0,1.0,35.0,35.0,100.0,22.0,40.0,40.0,100.0,35.0,3,0.0950850535804277,5.3311534839088015,0.25,1.0,0.4,0.25,0.36363636363636365,0.11428571428571428,0.0,0.0 +Sundown Mountain,Iowa,Iowa,1059,475,584,0,0,0,1,1,2,2,6,21.0,2.0,0.6,55.0,55.0,,46.0,45.0,46.0,,55.0,3,0.0950850535804277,5.3311534839088015,0.39285714285714285,,0.4,0.39285714285714285,0.2857142857142857,0.10909090909090909,0.0,0.0 +Big Squaw Mountain Ski Resort,Maine,Maine,3200,660,1750,0,0,0,0,1,0,0,1,29.0,,0.8,,,67.0,6.0,,30.0,58.0,,9,0.6695372456130432,25.438100621820237,,0.07745664739884393,,,0.034482758620689655,,0.0, +Camden Snow Bowl,Maine,Maine,1080,850,150,0,0,0,0,1,1,1,3,26.0,2.0,1.0,100.0,48.0,68.0,83.0,69.0,43.0,70.0,48.0,9,0.6695372456130432,25.438100621820237,0.03109452736318408,0.07861271676300578,0.11764705882352941,0.12371134020618557,0.11538461538461539,0.03,0.0,0.0 +Lost Valley,Maine,Maine,495,240,255,0,0,0,0,0,2,2,4,22.0,2.0,0.3,45.0,45.0,87.0,58.0,50.0,55.0,104.0,45.0,9,0.6695372456130432,25.438100621820237,0.013992537313432836,0.10057803468208093,0.11764705882352941,0.11597938144329897,0.18181818181818182,0.08888888888888889,0.0,0.0 +Mt. Abram Ski Resort,Maine,Maine,2250,1150,1050,0,0,0,0,0,2,3,5,54.0,1.0,0.5,640.0,175.0,120.0,59.0,125.0,49.0,120.0,,9,0.6695372456130432,25.438100621820237,0.19900497512437812,0.13872832369942195,0.058823529411764705,,0.09259259259259259,0.0078125,0.0,0.0 +New Hermon Mountain,Maine,Maine,450,350,100,0,0,0,0,0,1,2,3,20.0,,1.9,70.0,70.0,102.0,55.0,90.0,32.0,117.0,45.0,9,0.6695372456130432,25.438100621820237,0.021766169154228857,0.11791907514450867,,0.11597938144329897,0.15,0.04285714285714286,0.0,0.0 +Shawnee Peak,Maine,Maine,1900,1350,600,0,0,0,1,2,1,2,6,43.0,3.0,0.8,239.0,234.0,97.0,81.0,110.0,75.0,103.0,110.0,9,0.6695372456130432,25.438100621820237,0.07431592039800995,0.11213872832369942,0.17647058823529413,0.28350515463917525,0.13953488372093023,0.02510460251046025,0.0,0.0 +Sugarloaf,Maine,Maine,4237,2820,1417,0,0,2,3,1,5,2,13,162.0,4.0,3.5,1240.0,618.0,159.0,68.0,200.0,99.0,155.0,,9,0.6695372456130432,25.438100621820237,0.3855721393034826,0.1838150289017341,0.23529411764705882,,0.08024691358024691,0.010483870967741936,0.012345679012345678,0.0016129032258064516 +Sunday River,Maine,Maine,3140,2340,800,1,0,4,5,3,1,1,15,135.0,5.0,3.0,870.0,552.0,165.0,60.0,167.0,105.0,169.0,140.0,9,0.6695372456130432,25.438100621820237,0.27052238805970147,0.1907514450867052,0.29411764705882354,0.36082474226804123,0.1111111111111111,0.017241379310344827,0.02962962962962963,0.004597701149425287 +Wisp,Maryland,Maryland,3115,700,2415,0,0,0,2,5,0,5,12,34.0,3.0,1.5,172.0,118.0,121.0,64.0,100.0,79.0,120.0,118.0,1,0.016540736525916026,8.060615831049493,1.0,1.0,1.0,1.0,0.35294117647058826,0.06976744186046512,0.0,0.0 +Berkshire East,Massachusetts,Massachusetts,1720,1180,540,0,0,0,2,1,1,2,6,47.0,2.0,2.0,180.0,165.0,120.0,68.0,120.0,68.0,120.0,80.0,11,0.1595936918707181,104.22588592003032,0.15437392795883362,0.17883755588673622,0.1111111111111111,0.137221269296741,0.1276595744680851,0.03333333333333333,0.0,0.0 +Blandford Ski Area,Massachusetts,Massachusetts,1685,465,1035,0,0,0,0,0,3,2,5,29.0,2.0,0.5,132.0,70.0,,83.0,50.0,45.0,,70.0,11,0.1595936918707181,104.22588592003032,0.11320754716981132,,0.1111111111111111,0.12006861063464837,0.1724137931034483,0.03787878787878788,0.0,0.0 +Blue Hills Ski Area,Massachusetts,Massachusetts,635,309,326,0,0,0,0,0,1,3,4,16.0,1.0,,60.0,60.0,,19.0,,45.0,,,11,0.1595936918707181,104.22588592003032,0.051457975986277875,,0.05555555555555555,,0.25,0.06666666666666667,0.0,0.0 +Bousquet Ski Area,Massachusetts,Massachusetts,1875,750,1125,0,0,0,0,0,3,2,5,23.0,1.0,1.0,200.0,98.0,,19.0,83.0,49.0,,100.0,11,0.1595936918707181,104.22588592003032,0.17152658662092624,,0.05555555555555555,0.17152658662092624,0.21739130434782608,0.025,0.0,0.0 +Bradford Ski Area,Massachusetts,Massachusetts,1548,248,1300,0,0,0,0,2,0,8,10,15.0,1.0,0.3,48.0,48.0,,71.0,,55.0,,,11,0.1595936918707181,104.22588592003032,0.0411663807890223,,0.05555555555555555,,0.6666666666666666,0.20833333333333334,0.0,0.0 +Jiminy Peak,Massachusetts,Massachusetts,2380,1150,1230,0,1,0,2,3,1,2,9,45.0,3.0,2.0,167.0,163.0,121.0,71.0,90.0,81.0,120.0,104.0,11,0.1595936918707181,104.22588592003032,0.1432246998284734,0.18032786885245902,0.16666666666666666,0.1783876500857633,0.2,0.05389221556886228,0.0,0.0 +Nashoba Valley,Massachusetts,Massachusetts,440,240,200,0,0,0,0,3,1,7,11,17.0,2.0,0.5,52.0,52.0,112.0,55.0,55.0,58.0,126.0,52.0,11,0.1595936918707181,104.22588592003032,0.044596912521440824,0.16691505216095381,0.1111111111111111,0.08919382504288165,0.6470588235294118,0.21153846153846154,0.0,0.0 +Otis Ridge Ski Area,Massachusetts,Massachusetts,1700,400,1300,0,0,0,0,0,1,3,4,11.0,1.0,1.0,60.0,55.0,106.0,73.0,70.0,40.0,106.0,35.0,11,0.1595936918707181,104.22588592003032,0.051457975986277875,0.15797317436661698,0.05555555555555555,0.060034305317324184,0.36363636363636365,0.06666666666666667,0.0,0.0 +Ski Butternut,Massachusetts,Massachusetts,1800,1000,800,0,0,0,3,1,1,6,11,22.0,2.0,1.5,110.0,110.0,107.0,56.0,115.0,60.0,110.0,,11,0.1595936918707181,104.22588592003032,0.09433962264150944,0.15946348733233978,0.1111111111111111,,0.5,0.1,0.0,0.0 +Wachusett Mountain Ski Area,Massachusetts,Massachusetts,2006,1000,1006,0,0,3,0,1,0,4,8,27.0,2.0,1.5,112.0,112.0,,57.0,100.0,71.0,120.0,104.0,11,0.1595936918707181,104.22588592003032,0.09605488850771869,,0.1111111111111111,0.1783876500857633,0.2962962962962963,0.07142857142857142,0.1111111111111111,0.026785714285714284 +Alpine Valley Ski Area,Michigan,Michigan,500,240,126,0,0,0,1,2,5,6,14,25.0,3.0,0.2,100.0,100.0,,57.0,20.0,47.0,,100.0,28,0.28036848830417815,28.951341067477305,0.022696323195642305,,0.047619047619047616,0.051387461459403906,0.56,0.14,0.0,0.0 +Apple Mountain,Michigan,Michigan,820,220,600,0,0,0,1,0,0,5,6,12.0,,,80.0,42.0,,58.0,52.0,35.0,,80.0,28,0.28036848830417815,28.951341067477305,0.018157058556513846,,,0.041109969167523124,0.5,0.075,0.0,0.0 +Big Powderhorn Mountain,Michigan,Michigan,1800,600,1200,0,0,0,0,0,9,1,10,45.0,2.0,1.0,253.0,228.0,100.0,55.0,214.0,69.0,108.0,,28,0.28036848830417815,28.951341067477305,0.057421697684975036,0.041858518208455424,0.031746031746031744,,0.2222222222222222,0.039525691699604744,0.0,0.0 +Bittersweet Ski Area,Michigan,Michigan,850,350,450,0,0,0,1,7,0,4,12,20.0,2.0,0.2,100.0,100.0,80.0,36.0,90.0,48.0,,100.0,28,0.28036848830417815,28.951341067477305,0.022696323195642305,0.033486814566764334,0.031746031746031744,0.051387461459403906,0.6,0.12,0.0,0.0 +Big Snow Resort - Blackjack,Michigan,Michigan,850,465,385,0,0,0,0,0,4,2,6,26.0,2.0,1.0,170.0,86.0,95.0,42.0,210.0,65.0,115.0,,28,0.28036848830417815,28.951341067477305,0.03858374943259192,0.03976559229803265,0.031746031746031744,,0.23076923076923078,0.03529411764705882,0.0,0.0 +Boyne Highlands,Michigan,Michigan,1290,552,745,0,0,1,3,4,0,2,10,55.0,4.0,1.2,435.0,400.0,97.0,56.0,140.0,98.0,120.0,150.0,28,0.28036848830417815,28.951341067477305,0.09872900590104403,0.04060276266220176,0.06349206349206349,0.07708119218910586,0.18181818181818182,0.022988505747126436,0.01818181818181818,0.0022988505747126436 +Caberfae Peaks,Michigan,Michigan,1569,485,1060,0,0,0,1,2,1,1,5,34.0,2.0,1.2,200.0,200.0,118.0,82.0,140.0,49.0,130.0,150.0,28,0.28036848830417815,28.951341067477305,0.04539264639128461,0.0493930514859774,0.031746031746031744,0.07708119218910586,0.14705882352941177,0.025,0.0,0.0 +Cannonsburg,Michigan,Michigan,1100,250,850,0,0,0,1,1,1,7,10,21.0,5.0,0.1,100.0,,100.0,54.0,100.0,37.0,100.0,,28,0.28036848830417815,28.951341067477305,0.022696323195642305,0.041858518208455424,0.07936507936507936,,0.47619047619047616,0.1,0.0,0.0 +Crystal Mountain,Michigan,Michigan,1132,375,757,0,0,1,3,2,0,2,8,58.0,3.0,0.3,102.0,96.0,120.0,63.0,132.0,64.0,135.0,56.0,28,0.28036848830417815,28.951341067477305,0.02315024965955515,0.05023022185014651,0.047619047619047616,0.02877697841726619,0.13793103448275862,0.0784313725490196,0.017241379310344827,0.00980392156862745 +Big Snow Resort - Indianhead Mountain,Michigan,Michigan,1935,638,1297,0,0,0,1,1,5,2,9,32.0,2.0,1.0,240.0,150.0,120.0,60.0,204.0,49.0,120.0,,28,0.28036848830417815,28.951341067477305,0.05447117566954154,0.05023022185014651,0.031746031746031744,,0.28125,0.0375,0.0,0.0 +Mont Ripley,Michigan,Michigan,1140,440,700,0,0,0,0,0,2,2,4,25.0,2.0,0.8,112.0,112.0,114.0,83.0,275.0,49.0,100.0,100.0,28,0.28036848830417815,28.951341067477305,0.02541988197911938,0.04771871075763918,0.031746031746031744,0.051387461459403906,0.16,0.03571428571428571,0.0,0.0 +Mount Bohemia,Michigan,Michigan,1500,900,600,0,0,0,0,1,1,0,2,,,2.3,585.0,,83.0,19.0,273.0,68.0,100.0,,28,0.28036848830417815,28.951341067477305,0.1327734906945075,0.034742570113018,,,,0.003418803418803419,,0.0 +Mt. Brighton,Michigan,Michigan,1330,230,1100,0,0,0,2,3,0,8,13,25.0,5.0,0.1,130.0,130.0,111.0,59.0,60.0,59.0,100.0,130.0,28,0.28036848830417815,28.951341067477305,0.029505220154335,0.046462955211385513,0.07936507936507936,0.06680369989722508,0.52,0.1,0.0,0.0 +Mt. Holiday Ski Area,Michigan,Michigan,440,200,240,0,0,0,0,0,2,2,4,12.0,,0.1,45.0,45.0,100.0,70.0,120.0,34.0,90.0,45.0,28,0.28036848830417815,28.951341067477305,0.010213345438039038,0.041858518208455424,,0.023124357656731757,0.3333333333333333,0.08888888888888889,0.0,0.0 +Mount Holly,Michigan,Michigan,1105,350,755,0,0,1,2,3,1,6,13,19.0,,0.1,100.0,100.0,,63.0,42.0,45.0,102.0,100.0,28,0.28036848830417815,28.951341067477305,0.022696323195642305,,,0.051387461459403906,0.6842105263157895,0.13,0.05263157894736842,0.01 +Mulligan's Hollow Ski Bowl,Michigan,Michigan,700,130,570,0,0,0,0,0,0,5,5,6.0,,0.2,10.0,10.0,,19.0,60.0,20.0,,10.0,28,0.28036848830417815,28.951341067477305,0.0022696323195642307,,,0.0051387461459403904,0.8333333333333334,0.5,0.0,0.0 +Norway Mountain,Michigan,Michigan,1335,500,835,0,0,0,0,1,2,3,6,17.0,1.0,1.4,186.0,186.0,110.0,45.0,100.0,45.0,110.0,40.0,28,0.28036848830417815,28.951341067477305,0.04221516114389469,0.046044370029300966,0.015873015873015872,0.020554984583761562,0.35294117647058826,0.03225806451612903,0.0,0.0 +Nubs Nob Ski Area,Michigan,Michigan,1338,427,911,0,0,0,3,4,2,1,10,53.0,3.0,0.9,248.0,248.0,133.0,61.0,135.0,85.0,130.0,160.0,28,0.28036848830417815,28.951341067477305,0.05628688152519292,0.05567182921724571,0.047619047619047616,0.08221993833504625,0.18867924528301888,0.04032258064516129,0.0,0.0 +Pine Mountain,Michigan,Michigan,1650,500,1150,0,0,0,0,1,2,1,4,28.0,1.0,0.5,160.0,160.0,110.0,80.0,60.0,45.0,126.0,80.0,28,0.28036848830417815,28.951341067477305,0.03631411711302769,0.046044370029300966,0.015873015873015872,0.041109969167523124,0.14285714285714285,0.025,0.0,0.0 +Schuss Mountain at Shanty Creek,Michigan,Michigan,1125,450,675,0,0,0,5,0,0,3,8,42.0,3.0,1.0,70.0,70.0,94.0,57.0,160.0,78.0,111.0,70.0,28,0.28036848830417815,28.951341067477305,0.015887426236949616,0.039347007115948095,0.047619047619047616,0.03597122302158273,0.19047619047619047,0.11428571428571428,0.0,0.0 +Ski Brule,Michigan,Michigan,1860,500,1360,0,0,0,0,0,5,7,12,17.0,3.0,1.0,150.0,150.0,164.0,62.0,150.0,49.0,165.0,40.0,28,0.28036848830417815,28.951341067477305,0.03404448479346346,0.06864796986186689,0.047619047619047616,0.020554984583761562,0.7058823529411765,0.08,0.0,0.0 +Snow Snake Mountain Ski Area,Michigan,Michigan,1230,210,1020,0,0,0,0,1,0,5,6,12.0,2.0,0.0,40.0,40.0,,72.0,,35.0,,40.0,28,0.28036848830417815,28.951341067477305,0.009078529278256923,,0.031746031746031744,0.020554984583761562,0.5,0.15,0.0,0.0 +Swiss Valley,Michigan,Michigan,1200,225,975,0,0,0,2,1,0,4,7,11.0,2.0,0.1,60.0,60.0,89.0,51.0,60.0,42.0,80.0,60.0,28,0.28036848830417815,28.951341067477305,0.013617793917385384,0.03725408120552533,0.031746031746031744,0.030832476875642344,0.6363636363636364,0.11666666666666667,0.0,0.0 +The Homestead,Michigan,Michigan,900,320,580,0,0,0,0,2,1,2,5,15.0,1.0,0.2,16.0,16.0,47.0,34.0,150.0,50.0,42.0,16.0,28,0.28036848830417815,28.951341067477305,0.003631411711302769,0.019673503557974047,0.015873015873015872,0.008221993833504625,0.3333333333333333,0.3125,0.0,0.0 +Timber Ridge,Michigan,Michigan,850,250,600,0,0,0,1,1,2,4,8,16.0,2.0,0.3,50.0,50.0,80.0,58.0,,45.0,,50.0,28,0.28036848830417815,28.951341067477305,0.011348161597821153,0.033486814566764334,0.031746031746031744,0.025693730729701953,0.5,0.16,0.0,0.0 +Afton Alps,Minnesota,Minnesota,1530,350,1180,0,0,0,1,3,14,4,22,48.0,5.0,0.5,250.0,250.0,135.0,56.0,60.0,60.0,135.0,250.0,14,0.24824314777985515,16.103800496917273,0.16025641025641027,0.09060402684563758,0.1724137931034483,0.24509803921568626,0.4583333333333333,0.088,0.0,0.0 +Andes Tower Hills Ski Area,Minnesota,Minnesota,1620,290,1330,0,0,0,1,2,0,3,6,15.0,2.0,0.2,35.0,35.0,100.0,38.0,55.0,45.0,110.0,35.0,14,0.24824314777985515,16.103800496917273,0.022435897435897436,0.06711409395973154,0.06896551724137931,0.03431372549019608,0.4,0.17142857142857143,0.0,0.0 +Buck Hill,Minnesota,Minnesota,1225,309,919,0,0,0,2,1,0,5,8,16.0,,0.2,45.0,45.0,115.0,65.0,60.0,47.0,112.0,45.0,14,0.24824314777985515,16.103800496917273,0.028846153846153848,0.07718120805369127,,0.04411764705882353,0.5,0.17777777777777778,0.0,0.0 +Buena Vista Ski Area,Minnesota,Minnesota,1510,230,1280,0,0,0,0,2,2,2,6,17.0,,0.3,30.0,30.0,57.0,70.0,78.0,44.0,60.0,30.0,14,0.24824314777985515,16.103800496917273,0.019230769230769232,0.03825503355704698,,0.029411764705882353,0.35294117647058826,0.2,0.0,0.0 +Coffee Mill Ski & Snowboard Resort,Minnesota,Minnesota,1150,425,725,0,0,0,0,0,2,1,3,14.0,1.0,1.0,40.0,35.0,57.0,39.0,48.0,37.0,56.0,35.0,14,0.24824314777985515,16.103800496917273,0.02564102564102564,0.03825503355704698,0.034482758620689655,0.03431372549019608,0.21428571428571427,0.075,0.0,0.0 +Elm Creek Winter Recreation Area,Minnesota,Minnesota,928,60,868,0,0,0,0,0,0,3,3,3.0,,1.0,15.0,20.0,105.0,13.0,45.0,17.0,102.0,15.0,14,0.24824314777985515,16.103800496917273,0.009615384615384616,0.07046979865771812,,0.014705882352941176,1.0,0.2,0.0,0.0 +Giants Ridge Resort,Minnesota,Minnesota,1972,500,1472,0,0,1,1,1,2,2,7,35.0,2.0,0.8,202.0,202.0,120.0,35.0,85.0,58.0,125.0,121.0,14,0.24824314777985515,16.103800496917273,0.1294871794871795,0.08053691275167785,0.06896551724137931,0.11862745098039215,0.2,0.034653465346534656,0.02857142857142857,0.0049504950495049506 +Hyland Ski & Snowboard Area,Minnesota,Minnesota,1075,175,900,0,0,0,2,1,0,5,8,14.0,1.0,1.0,35.0,35.0,110.0,61.0,55.0,35.34,115.0,35.0,14,0.24824314777985515,16.103800496917273,0.022435897435897436,0.0738255033557047,0.034482758620689655,0.03431372549019608,0.5714285714285714,0.22857142857142856,0.0,0.0 +Lutsen Mountains,Minnesota,Minnesota,1688,825,800,1,1,0,0,1,4,1,8,62.0,2.0,2.0,393.0,231.0,135.0,71.0,120.0,84.0,127.0,,14,0.24824314777985515,16.103800496917273,0.2519230769230769,0.09060402684563758,0.06896551724137931,,0.12903225806451613,0.020356234096692113,0.0,0.0 +Mount Kato Ski Area,Minnesota,Minnesota,540,240,300,0,0,0,5,0,3,2,10,19.0,4.0,1.0,55.0,55.0,115.0,43.0,50.0,46.0,120.0,50.0,14,0.24824314777985515,16.103800496917273,0.035256410256410256,0.07718120805369127,0.13793103448275862,0.049019607843137254,0.5263157894736842,0.18181818181818182,0.0,0.0 +Powder Ridge Ski Area,Minnesota,Minnesota,790,300,500,0,0,0,1,0,2,3,6,15.0,4.0,,60.0,60.0,97.0,58.0,45.0,48.0,113.0,60.0,14,0.24824314777985515,16.103800496917273,0.038461538461538464,0.06510067114093959,0.13793103448275862,0.058823529411764705,0.4,0.1,0.0,0.0 +Spirit Mountain,Minnesota,Minnesota,1320,700,620,0,0,1,1,2,1,2,7,22.0,3.0,1.0,175.0,175.0,100.0,45.0,100.0,59.0,125.0,144.0,14,0.24824314777985515,16.103800496917273,0.11217948717948718,0.06711409395973154,0.10344827586206896,0.1411764705882353,0.3181818181818182,0.04,0.045454545454545456,0.005714285714285714 +Welch Village,Minnesota,Minnesota,1060,360,700,0,0,0,3,1,4,2,10,50.0,1.0,0.8,125.0,125.0,114.0,54.0,45.0,60.0,122.0,100.0,14,0.24824314777985515,16.103800496917273,0.08012820512820513,0.07651006711409396,0.034482758620689655,0.09803921568627451,0.2,0.08,0.0,0.0 +Wild Mountain Ski & Snowboard Area,Minnesota,Minnesota,1113,300,813,0,0,0,4,0,0,4,8,26.0,4.0,0.9,100.0,100.0,130.0,47.0,50.0,55.0,140.0,100.0,14,0.24824314777985515,16.103800496917273,0.0641025641025641,0.087248322147651,0.13793103448275862,0.09803921568627451,0.3076923076923077,0.08,0.0,0.0 +Hidden Valley Ski Area,Missouri,Missouri,2566,310,2316,0,0,0,2,2,0,3,7,17.0,,0.1,30.0,30.0,,37.0,26.0,49.0,,17.0,2,0.03258694032744661,2.8691523089503206,0.5,,,0.3617021276595745,0.4117647058823529,0.23333333333333334,0.0,0.0 +Snow Creek,Missouri,Missouri,1100,300,800,0,0,0,0,2,1,2,5,14.0,2.0,0.3,30.0,30.0,69.0,33.0,20.0,47.0,85.0,30.0,2,0.03258694032744661,2.8691523089503206,0.5,1.0,1.0,0.6382978723404256,0.35714285714285715,0.16666666666666666,0.0,0.0 +Blacktail Mountain Ski Area,Montana,Montana,6676,1440,5236,0,0,0,0,1,2,1,4,27.0,,0.7,1000.0,,,21.0,250.0,42.0,,,12,1.1227776020838753,8.161044613710555,0.046707146193367584,,,,0.14814814814814814,0.004,0.0,0.0 +Bridger Bowl,Montana,Montana,8700,2600,6100,0,0,0,1,6,1,3,11,105.0,2.0,1.5,2000.0,100.0,122.0,64.0,350.0,63.0,133.0,,12,1.1227776020838753,8.161044613710555,0.09341429238673517,0.12828601472134596,0.07407407407407407,,0.10476190476190476,0.0055,0.0,0.0 +Discovery Ski Area,Montana,Montana,8150,2380,5770,0,0,0,0,5,2,1,8,74.0,1.0,1.5,2400.0,25.0,116.0,46.0,225.0,49.0,116.0,,12,1.1227776020838753,8.161044613710555,0.1120971508640822,0.12197686645636173,0.037037037037037035,,0.10810810810810811,0.0033333333333333335,0.0,0.0 +Great Divide,Montana,Montana,7330,1580,5750,0,0,0,0,0,5,1,6,110.0,6.0,3.0,1600.0,150.0,94.0,78.0,180.0,48.0,100.0,100.0,12,1.1227776020838753,8.161044613710555,0.07473143390938813,0.09884332281808622,0.2222222222222222,0.14084507042253522,0.05454545454545454,0.00375,0.0,0.0 +Lost Trail - Powder Mtn,Montana,Montana,8200,1800,6400,0,0,0,0,0,5,3,8,69.0,2.0,2.5,1800.0,,84.0,81.0,325.0,46.0,80.0,,12,1.1227776020838753,8.161044613710555,0.08407286314806166,0.08832807570977919,0.07407407407407407,,0.11594202898550725,0.0044444444444444444,0.0,0.0 +Maverick Mountain,Montana,Montana,8520,2020,6500,0,0,0,0,0,1,1,2,22.0,,1.3,255.0,,,83.0,160.0,39.0,,,12,1.1227776020838753,8.161044613710555,0.011910322279308735,,,,0.09090909090909091,0.00784313725490196,0.0,0.0 +Montana Snowbowl,Montana,Montana,7600,2600,5000,0,0,0,0,0,2,2,4,37.0,,1.2,950.0,20.0,,58.0,300.0,50.0,,10.0,12,1.1227776020838753,8.161044613710555,0.044371788883699206,,,0.014084507042253521,0.10810810810810811,0.004210526315789474,0.0,0.0 +Red Lodge Mountain,Montana,Montana,9416,2400,7016,0,0,2,0,1,3,1,7,70.0,2.0,2.5,1635.0,496.0,142.0,59.0,250.0,67.0,136.0,,12,1.1227776020838753,8.161044613710555,0.076366184026156,0.14931650893796003,0.07407407407407407,,0.1,0.004281345565749235,0.02857142857142857,0.0012232415902140672 +Showdown Montana,Montana,Montana,8200,1400,6800,0,0,0,0,1,2,1,4,36.0,1.0,1.8,640.0,,86.0,83.0,250.0,47.0,85.0,,12,1.1227776020838753,8.161044613710555,0.029892573563755253,0.0904311251314406,0.037037037037037035,,0.1111111111111111,0.00625,0.0,0.0 +Teton Pass Ski Resort,Montana,Montana,7200,1010,6190,0,0,0,0,0,1,2,3,43.0,1.0,3.0,330.0,,40.0,54.0,250.0,39.0,150.0,,12,1.1227776020838753,8.161044613710555,0.015413358243811303,0.04206098843322818,0.037037037037037035,,0.06976744186046512,0.00909090909090909,0.0,0.0 +Big Mountain Resort,Montana,Montana,6817,2353,4464,0,0,3,2,6,0,3,14,105.0,4.0,3.3,3000.0,600.0,123.0,72.0,333.0,81.0,123.0,600.0,12,1.1227776020838753,8.161044613710555,0.14012143858010276,0.12933753943217666,0.14814814814814814,0.8450704225352113,0.13333333333333333,0.004666666666666667,0.02857142857142857,0.001 +Diamond Peak,Sierra Nevada,Nevada,8540,1840,6700,0,0,1,2,0,3,1,7,30.0,3.0,2.5,655.0,492.0,100.0,53.0,300.0,99.0,122.0,,4,0.12986355236552954,3.61755236407047,0.3104265402843602,0.24096385542168675,0.3333333333333333,,0.23333333333333334,0.010687022900763359,0.03333333333333333,0.0015267175572519084 +Elko SnoBowl,Nevada,Nevada,7000,700,6300,0,0,0,0,0,1,1,2,10.0,,1.0,60.0,2.0,19.0,23.0,24.0,20.0,30.0,,4,0.12986355236552954,3.61755236407047,0.02843601895734597,0.04578313253012048,,,0.2,0.03333333333333333,0.0,0.0 +Lee Canyon,Nevada,Nevada,11289,860,8510,0,0,0,2,1,0,0,3,24.0,1.0,0.3,195.0,50.0,144.0,56.0,161.0,70.0,150.0,,4,0.12986355236552954,3.61755236407047,0.0924170616113744,0.3469879518072289,0.1111111111111111,,0.125,0.015384615384615385,0.0,0.0 +Mt. Rose - Ski Tahoe,Sierra Nevada,Nevada,9700,1800,8260,0,2,0,2,2,0,2,8,65.0,5.0,2.5,1200.0,330.0,152.0,55.0,350.0,135.0,150.0,,4,0.12986355236552954,3.61755236407047,0.5687203791469194,0.36626506024096384,0.5555555555555556,,0.12307692307692308,0.006666666666666667,0.0,0.0 +Attitash,New Hampshire,New Hampshire,2350,1750,600,0,0,2,1,3,2,1,9,68.0,3.0,3.0,311.0,240.0,115.0,54.0,120.0,89.0,130.0,,16,1.1767206413715856,171.14129853460264,0.09074992704989787,0.062263129399025445,0.06976744186046512,,0.1323529411764706,0.028938906752411574,0.029411764705882353,0.006430868167202572 +Black Mountain,New Hampshire,New Hampshire,2350,1100,1250,0,0,0,0,1,1,3,5,45.0,,1.6,143.0,120.0,110.0,84.0,125.0,59.0,107.0,,16,1.1767206413715856,171.14129853460264,0.04172745841844178,0.05955603681645912,,,0.1111111111111111,0.03496503496503497,0.0,0.0 +Bretton Woods,New Hampshire,New Hampshire,3100,1500,1600,0,0,4,1,1,0,3,9,63.0,2.0,2.0,464.0,427.0,180.0,46.0,200.0,99.0,180.0,45.0,16,1.1767206413715856,171.14129853460264,0.13539538955354538,0.09745533297238766,0.046511627906976744,0.1196808510638298,0.14285714285714285,0.01939655172413793,0.06349206349206349,0.008620689655172414 +Cannon Mountain,New Hampshire,New Hampshire,4080,2180,1900,1,0,1,2,3,1,3,11,97.0,3.0,2.3,285.0,192.0,124.0,81.0,160.0,79.0,143.0,,16,1.1767206413715856,171.14129853460264,0.083163116428363,0.06713589604764483,0.06976744186046512,,0.1134020618556701,0.03859649122807018,0.010309278350515464,0.0035087719298245615 +Crotched Mountain,New Hampshire,New Hampshire,2066,1016,1050,0,0,1,1,1,1,1,5,25.0,3.0,1.2,100.0,100.0,105.0,16.0,105.0,69.0,100.0,100.0,16,1.1767206413715856,171.14129853460264,0.029180040852057193,0.0568489442338928,0.06976744186046512,0.26595744680851063,0.2,0.05,0.04,0.01 +Dartmouth Skiway,New Hampshire,New Hampshire,1943,969,974,0,0,0,1,0,1,2,4,28.0,1.0,1.1,107.0,54.0,104.0,63.0,100.0,50.0,105.0,,16,1.1767206413715856,171.14129853460264,0.031222643711701196,0.056307525717379535,0.023255813953488372,,0.14285714285714285,0.037383177570093455,0.0,0.0 +Gunstock,New Hampshire,New Hampshire,2300,1400,900,0,0,1,2,2,0,1,6,55.0,4.0,1.5,227.0,176.0,106.0,82.0,120.0,92.0,,60.0,16,1.1767206413715856,171.14129853460264,0.06623869273416982,0.057390362750406064,0.09302325581395349,0.1595744680851064,0.10909090909090909,0.02643171806167401,0.01818181818181818,0.004405286343612335 +King Pine,New Hampshire,New Hampshire,850,350,500,0,0,0,0,3,0,3,6,17.0,2.0,0.3,48.0,45.0,105.0,57.0,120.0,58.0,107.0,23.0,16,1.1767206413715856,171.14129853460264,0.014006419608987453,0.0568489442338928,0.046511627906976744,0.061170212765957445,0.35294117647058826,0.125,0.0,0.0 +Mount Sunapee,New Hampshire,New Hampshire,2743,1510,1233,0,0,2,1,2,1,4,10,66.0,4.0,0.8,232.0,215.0,130.0,71.0,100.0,93.0,136.0,,16,1.1767206413715856,171.14129853460264,0.06769769477677269,0.07038440714672442,0.09302325581395349,,0.15151515151515152,0.04310344827586207,0.030303030303030304,0.008620689655172414 +Pats Peak,New Hampshire,New Hampshire,1460,770,690,0,0,0,0,4,2,5,11,28.0,3.0,1.5,115.0,115.0,109.0,56.0,100.0,72.0,112.0,93.0,16,1.1767206413715856,171.14129853460264,0.03355704697986577,0.05901461829994586,0.06976744186046512,0.2473404255319149,0.39285714285714285,0.09565217391304348,0.0,0.0 +Ragged Mountain Resort,New Hampshire,New Hampshire,2250,1250,1000,0,1,1,0,1,0,3,6,57.0,3.0,0.7,250.0,200.0,,54.0,100.0,84.0,140.0,,16,1.1767206413715856,171.14129853460264,0.07295010213014298,,0.06976744186046512,,0.10526315789473684,0.024,0.017543859649122806,0.004 +Waterville Valley,New Hampshire,New Hampshire,4004,2020,1984,0,0,2,0,2,3,4,11,62.0,4.0,1.9,265.0,220.0,142.0,54.0,148.0,93.0,142.0,,16,1.1767206413715856,171.14129853460264,0.07732710825795155,0.0768814293448836,0.09302325581395349,,0.1774193548387097,0.04150943396226415,0.03225806451612903,0.007547169811320755 +Whaleback Mountain,New Hampshire,New Hampshire,1800,700,1100,0,0,0,0,0,1,3,4,30.0,1.0,1.0,85.0,60.0,105.0,64.0,110.0,45.0,105.0,55.0,16,1.1767206413715856,171.14129853460264,0.024803034724248614,0.0568489442338928,0.023255813953488372,0.14627659574468085,0.13333333333333333,0.047058823529411764,0.0,0.0 +Wildcat Mountain,New Hampshire,New Hampshire,4062,2112,1950,0,0,1,0,3,0,1,5,48.0,,2.8,225.0,200.0,156.0,61.0,200.0,89.0,150.0,,16,1.1767206413715856,171.14129853460264,0.06565509191712868,0.0844612885760693,,,0.10416666666666667,0.022222222222222223,0.020833333333333332,0.0044444444444444444 +Mountain Creek Resort,New Jersey,New Jersey,1480,1040,440,1,0,2,2,1,1,3,10,46.0,3.0,2.0,167.0,167.0,90.0,54.0,65.0,79.99,100.0,167.0,2,0.022516969351027167,22.927891780350798,0.8789473684210526,0.5294117647058824,0.75,0.9226519337016574,0.21739130434782608,0.059880239520958084,0.043478260869565216,0.011976047904191617 +Angel Fire Resort,New Mexico,New Mexico,10677,2077,8600,0,0,2,0,0,3,2,7,81.0,3.0,3.0,560.0,230.0,101.0,53.0,210.0,77.0,101.0,50.0,9,0.4292195500920676,7.401924500370097,0.10721807390388666,0.10455486542443064,0.16666666666666666,1.0,0.08641975308641975,0.0125,0.024691358024691357,0.0035714285714285713 +Enchanted Forest Ski Area,New Mexico,New Mexico,10078,400,9820,0,0,0,0,0,0,0,0,33.0,,2.5,600.0,,130.0,34.0,240.0,20.0,140.0,,9,0.4292195500920676,7.401924500370097,0.11487650775416428,0.13457556935817805,,,0.0,0.0,0.0,0.0 +Pajarito Mountain Ski Area,New Mexico,New Mexico,10441,1410,9031,0,0,0,1,1,3,1,6,45.0,2.0,0.6,750.0,35.0,89.0,62.0,163.0,49.0,117.0,,9,0.4292195500920676,7.401924500370097,0.14359563469270534,0.09213250517598344,0.1111111111111111,,0.13333333333333333,0.008,0.0,0.0 +Red River,New Mexico,New Mexico,10350,1600,8750,0,0,0,1,3,1,2,7,63.0,3.0,2.5,209.0,,110.0,60.0,214.0,79.0,,,9,0.4292195500920676,7.401924500370097,0.04001531686770055,0.11387163561076605,0.16666666666666666,,0.1111111111111111,0.03349282296650718,0.0,0.0 +Sandia Peak,New Mexico,New Mexico,10378,1700,8678,0,0,0,0,0,4,1,5,39.0,1.0,2.0,200.0,30.0,32.0,82.0,100.0,55.0,38.0,,9,0.4292195500920676,7.401924500370097,0.03829216925138809,0.033126293995859216,0.05555555555555555,,0.1282051282051282,0.025,0.0,0.0 +Sipapu Ski Resort,New Mexico,New Mexico,9255,1055,8200,0,0,0,1,2,0,3,6,42.0,4.0,0.5,200.0,140.0,127.0,67.0,190.0,47.0,143.0,,9,0.4292195500920676,7.401924500370097,0.03829216925138809,0.13146997929606624,0.2222222222222222,,0.14285714285714285,0.03,0.0,0.0 +Ski Apache,New Mexico,New Mexico,11500,1900,9600,1,0,0,2,6,0,2,11,55.0,3.0,2.0,750.0,270.0,133.0,58.0,185.0,74.0,124.0,,9,0.4292195500920676,7.401924500370097,0.14359563469270534,0.13768115942028986,0.16666666666666666,,0.2,0.014666666666666666,0.0,0.0 +Ski Santa Fe,New Mexico,New Mexico,12075,1725,10350,0,0,0,1,2,2,2,7,83.0,1.0,3.0,660.0,275.0,107.0,73.0,225.0,80.0,130.0,,9,0.4292195500920676,7.401924500370097,0.1263641585295807,0.11076604554865424,0.05555555555555555,,0.08433734939759036,0.010606060606060607,0.0,0.0 +Taos Ski Valley,New Mexico,New Mexico,12481,3281,9200,1,0,1,3,4,1,4,14,111.0,1.0,5.0,1294.0,647.0,137.0,64.0,300.0,110.0,136.0,,9,0.4292195500920676,7.401924500370097,0.24775033505648095,0.14182194616977226,0.05555555555555555,,0.12612612612612611,0.010819165378670788,0.009009009009009009,0.0007727975270479134 +Belleayre,New York,New York,3429,1404,2025,1,0,1,1,1,2,2,8,50.0,2.0,2.2,175.0,168.0,154.0,70.0,130.0,72.0,150.0,,33,0.16963475221837276,60.48941435248832,0.03173739571998549,0.06459731543624161,0.027777777777777776,,0.16,0.045714285714285714,0.02,0.005714285714285714 +Brantling Ski Slopes,New York,New York,850,250,600,0,0,0,0,0,0,5,5,10.0,,0.1,20.0,16.0,,19.0,110.0,32.0,,,33,0.16963475221837276,60.48941435248832,0.003627130939426913,,,,0.5,0.25,0.0,0.0 +Bristol Mountain,New York,New York,2200,1200,1000,0,0,2,1,1,1,1,6,34.0,3.0,2.0,160.0,148.0,129.0,55.0,60.0,76.0,129.0,154.0,33,0.16963475221837276,60.48941435248832,0.029017047515415305,0.054110738255033555,0.041666666666666664,0.054301833568406205,0.17647058823529413,0.0375,0.058823529411764705,0.0125 +Buffalo Ski Club Ski Area,New York,New York,3429,500,2025,0,0,0,0,0,2,4,6,43.0,1.0,,225.0,150.0,,12.0,,50.0,,100.0,33,0.16963475221837276,60.48941435248832,0.040805223068552776,,0.013888888888888888,0.03526093088857546,0.13953488372093023,0.02666666666666667,0.0,0.0 +Catamount,New York,New York,2000,1000,1000,0,0,0,1,1,2,3,7,36.0,5.0,2.0,133.0,130.0,100.0,80.0,108.0,69.0,90.0,55.0,33,0.16963475221837276,60.48941435248832,0.024120420747188974,0.04194630872483222,0.06944444444444445,0.019393511988716503,0.19444444444444445,0.05263157894736842,0.0,0.0 +Dry Hill Ski Area,New York,New York,950,300,650,0,0,0,0,0,1,2,3,7.0,1.0,0.2,35.0,26.0,,55.0,125.0,35.0,,26.0,33,0.16963475221837276,60.48941435248832,0.006347479143997099,,0.013888888888888888,0.009167842031029619,0.42857142857142855,0.08571428571428572,0.0,0.0 +Gore Mountain,New York,New York,3600,2537,998,1,0,2,2,3,2,4,14,110.0,7.0,4.5,439.0,338.0,142.0,55.0,150.0,88.0,,15.0,33,0.16963475221837276,60.48941435248832,0.07961552412042075,0.05956375838926174,0.09722222222222222,0.005289139633286318,0.12727272727272726,0.03189066059225513,0.01818181818181818,0.004555808656036446 +Greek Peak,New York,New York,2100,952,1148,0,0,0,1,1,4,2,8,56.0,4.0,1.5,220.0,184.0,110.0,62.0,122.0,63.2,113.0,175.0,33,0.16963475221837276,60.48941435248832,0.03989844033369604,0.04614093959731544,0.05555555555555555,0.06170662905500705,0.14285714285714285,0.03636363636363636,0.0,0.0 +Holiday Mountain,New York,New York,1550,400,1150,0,0,0,1,0,1,2,4,9.0,,0.4,37.0,37.0,75.0,60.0,50.0,42.0,85.0,37.0,33,0.16963475221837276,60.48941435248832,0.00671019223793979,0.031459731543624164,,0.01304654442877292,0.4444444444444444,0.10810810810810811,0.0,0.0 +Holiday Valley,New York,New York,2250,750,1500,0,0,3,8,0,0,2,13,60.0,5.0,1.0,290.0,266.0,116.0,62.0,180.0,78.0,129.0,189.0,33,0.16963475221837276,60.48941435248832,0.05259339862169024,0.04865771812080537,0.06944444444444445,0.06664315937940761,0.21666666666666667,0.04482758620689655,0.05,0.010344827586206896 +Holimont Ski Area,New York,New York,2260,700,1560,0,0,1,1,2,3,1,8,53.0,3.0,1.5,135.0,135.0,110.0,57.0,180.0,75.0,119.0,,33,0.16963475221837276,60.48941435248832,0.024483133841131665,0.04614093959731544,0.041666666666666664,,0.1509433962264151,0.05925925925925926,0.018867924528301886,0.007407407407407408 +Hunt Hollow Ski Club,New York,New York,2030,825,1000,0,0,0,0,1,1,1,3,19.0,1.0,1.0,400.0,400.0,,52.0,130.0,58.0,75.0,400.0,33,0.16963475221837276,60.48941435248832,0.07254261878853827,,0.013888888888888888,0.14104372355430184,0.15789473684210525,0.0075,0.0,0.0 +Hunter Mountain,New York,New York,3200,1600,1600,0,2,1,2,2,2,4,13,67.0,4.0,2.0,320.0,320.0,148.0,59.0,120.0,89.0,155.0,,33,0.16963475221837276,60.48941435248832,0.05803409503083061,0.06208053691275168,0.05555555555555555,,0.19402985074626866,0.040625,0.014925373134328358,0.003125 +Kissing Bridge,New York,New York,1700,550,1150,0,0,0,2,1,4,3,10,39.0,5.0,0.5,700.0,550.0,103.0,59.0,120.0,60.0,100.0,650.0,33,0.16963475221837276,60.48941435248832,0.12694958287994196,0.04320469798657718,0.06944444444444445,0.22919605077574048,0.2564102564102564,0.014285714285714285,0.0,0.0 +Labrador Mt.,New York,New York,1825,700,1125,0,0,0,0,1,2,1,4,23.0,1.0,1.0,250.0,237.0,,62.0,125.0,59.0,100.0,180.0,33,0.16963475221837276,60.48941435248832,0.04533913674283642,,0.013888888888888888,0.06346967559943582,0.17391304347826086,0.016,0.0,0.0 +Maple Ski Ridge,New York,New York,1200,450,750,0,0,0,0,1,1,1,3,10.0,,0.3,25.0,25.0,,57.0,,38.0,,20.0,33,0.16963475221837276,60.48941435248832,0.004533913674283642,,,0.007052186177715092,0.3,0.12,0.0,0.0 +McCauley Mountain Ski Center,New York,New York,2250,633,1563,0,0,0,0,0,1,4,5,23.0,1.0,0.3,70.0,55.0,105.0,61.0,200.0,30.0,105.0,,33,0.16963475221837276,60.48941435248832,0.012694958287994197,0.044043624161073824,0.013888888888888888,,0.21739130434782608,0.07142857142857142,0.0,0.0 +Mount Peter Ski Area,New York,New York,1250,450,750,0,0,0,1,0,2,2,5,14.0,1.0,1.0,69.0,69.0,100.0,83.0,50.0,54.0,100.0,69.0,33,0.16963475221837276,60.48941435248832,0.012513601741022852,0.04194630872483222,0.013888888888888888,0.024330042313117067,0.35714285714285715,0.07246376811594203,0.0,0.0 +Oak Mountain,New York,New York,2400,650,1750,0,0,0,1,0,0,3,4,22.0,1.0,1.2,46.0,18.0,,71.0,120.0,40.0,,12.0,33,0.16963475221837276,60.48941435248832,0.008342401160681901,,0.013888888888888888,0.004231311706629055,0.18181818181818182,0.08695652173913043,0.0,0.0 +Peek'n Peak,New York,New York,1800,400,1400,0,0,0,0,8,0,2,10,27.0,4.0,2.4,110.0,110.0,110.0,55.0,225.0,63.0,,110.0,33,0.16963475221837276,60.48941435248832,0.01994922016684802,0.04614093959731544,0.05555555555555555,0.038787023977433006,0.37037037037037035,0.09090909090909091,0.0,0.0 +Plattekill Mountain,New York,New York,3500,1100,2400,0,0,0,0,1,1,2,4,38.0,1.0,2.0,110.0,75.0,65.0,26.0,175.0,67.0,65.0,,33,0.16963475221837276,60.48941435248832,0.01994922016684802,0.02726510067114094,0.013888888888888888,,0.10526315789473684,0.03636363636363636,0.0,0.0 +Royal Mountain Ski Area,New York,New York,1800,550,1250,0,0,0,0,0,3,0,3,14.0,,0.3,35.0,28.0,,63.0,90.0,45.0,,,33,0.16963475221837276,60.48941435248832,0.006347479143997099,,,,0.21428571428571427,0.08571428571428572,0.0,0.0 +Snow Ridge,New York,New York,2000,650,1350,0,0,0,0,0,4,2,6,21.0,2.0,0.8,130.0,65.0,73.0,74.0,230.0,48.0,100.0,40.0,33,0.16963475221837276,60.48941435248832,0.023576351106274936,0.030620805369127518,0.027777777777777776,0.014104372355430184,0.2857142857142857,0.046153846153846156,0.0,0.0 +Song Mountain,New York,New York,1940,700,1240,0,0,0,0,1,1,3,5,24.0,,0.4,93.0,70.0,90.0,55.0,125.0,59.0,122.0,70.0,33,0.16963475221837276,60.48941435248832,0.016866158868335146,0.037751677852348994,,0.02468265162200282,0.20833333333333334,0.053763440860215055,0.0,0.0 +Swain,New York,New York,1970,650,1320,0,0,0,3,0,1,1,5,35.0,3.0,1.0,130.0,90.0,102.0,72.0,120.0,59.0,100.0,80.0,33,0.16963475221837276,60.48941435248832,0.023576351106274936,0.04278523489932886,0.041666666666666664,0.028208744710860368,0.14285714285714285,0.038461538461538464,0.0,0.0 +Thunder Ridge,New York,New York,1270,500,770,0,0,0,0,1,2,3,6,30.0,,0.4,100.0,100.0,121.0,60.0,,57.0,121.0,100.0,33,0.16963475221837276,60.48941435248832,0.018135654697134566,0.05075503355704698,,0.03526093088857546,0.2,0.06,0.0,0.0 +Titus Mountain,New York,New York,2025,1200,825,0,0,0,0,2,6,2,10,50.0,3.0,2.0,200.0,150.0,101.0,59.0,150.0,49.0,100.0,70.0,33,0.16963475221837276,60.48941435248832,0.03627130939426913,0.04236577181208054,0.041666666666666664,0.02468265162200282,0.2,0.05,0.0,0.0 +Toggenburg Mountain,New York,New York,2000,700,1300,0,0,0,0,1,1,3,5,22.0,2.0,0.4,85.0,,,66.0,130.0,55.0,122.0,73.0,33,0.16963475221837276,60.48941435248832,0.015415306492564382,,0.027777777777777776,0.025740479548660086,0.22727272727272727,0.058823529411764705,0.0,0.0 +West Mountain,New York,New York,1470,1010,460,0,0,0,0,1,2,2,5,29.0,1.0,0.6,124.0,105.0,,58.0,80.0,59.0,120.0,105.0,33,0.16963475221837276,60.48941435248832,0.022488211824446862,,0.013888888888888888,0.03702397743300423,0.1724137931034483,0.04032258064516129,0.0,0.0 +Whiteface Mountain Resort,New York,New York,4650,3430,1220,1,0,1,1,2,5,2,12,86.0,5.0,2.1,288.0,220.0,122.0,61.0,168.0,96.0,141.0,,33,0.16963475221837276,60.48941435248832,0.05223068552774755,0.051174496644295304,0.06944444444444445,,0.13953488372093023,0.041666666666666664,0.011627906976744186,0.003472222222222222 +Willard Mountain,New York,New York,1415,505,910,0,0,0,0,0,2,3,5,16.0,,0.4,50.0,35.0,85.0,19.0,80.0,46.0,120.0,35.0,33,0.16963475221837276,60.48941435248832,0.009067827348567283,0.03565436241610738,,0.01234132581100141,0.3125,0.1,0.0,0.0 +Windham Mountain,New York,New York,3100,1600,1500,0,1,2,0,3,1,5,12,54.0,6.0,2.0,285.0,280.0,123.0,59.0,105.0,95.0,130.0,56.0,33,0.16963475221837276,60.48941435248832,0.051686615886833515,0.051593959731543626,0.08333333333333333,0.019746121297602257,0.2222222222222222,0.042105263157894736,0.037037037037037035,0.007017543859649123 +Woods Valley Ski Area,New York,New York,1400,500,900,0,0,0,0,0,2,4,6,21.0,,0.3,25.0,16.0,,55.0,180.0,39.0,,15.0,33,0.16963475221837276,60.48941435248832,0.004533913674283642,,,0.005289139633286318,0.2857142857142857,0.24,0.0,0.0 +Appalachian Ski Mountain,North Carolina,North Carolina,4000,365,3635,0,0,0,2,0,1,2,5,12.0,3.0,0.5,27.0,27.0,100.0,57.0,50.0,64.0,100.0,27.0,6,0.057207779800390615,11.148479161634366,0.07297297297297298,0.1976284584980237,0.3333333333333333,0.08059701492537313,0.4166666666666667,0.18518518518518517,0.0,0.0 +Cataloochee Ski Area,North Carolina,North Carolina,5400,740,4660,0,0,0,1,1,1,2,5,18.0,2.0,1.0,50.0,50.0,141.0,58.0,50.0,70.0,108.0,50.0,6,0.057207779800390615,11.148479161634366,0.13513513513513514,0.27865612648221344,0.2222222222222222,0.14925373134328357,0.2777777777777778,0.1,0.0,0.0 +Sapphire Valley,North Carolina,North Carolina,3450,200,3200,0,0,0,1,0,0,2,3,,1.0,1.0,8.0,8.0,53.0,55.0,24.0,43.0,60.0,8.0,6,0.057207779800390615,11.148479161634366,0.021621621621621623,0.10474308300395258,0.1111111111111111,0.023880597014925373,,0.375,,0.0 +Beech Mountain Resort,North Carolina,North Carolina,5506,830,4675,0,0,0,3,0,3,2,8,17.0,1.0,1.0,95.0,95.0,98.0,52.0,31.0,68.0,,95.0,6,0.057207779800390615,11.148479161634366,0.25675675675675674,0.19367588932806323,0.1111111111111111,0.2835820895522388,0.47058823529411764,0.08421052631578947,0.0,0.0 +Sugar Mountain Resort,North Carolina,North Carolina,5300,1200,4100,0,1,0,0,1,4,2,8,21.0,1.0,1.5,125.0,125.0,114.0,50.0,77.0,75.0,120.0,95.0,6,0.057207779800390615,11.148479161634366,0.33783783783783783,0.22529644268774704,0.1111111111111111,0.2835820895522388,0.38095238095238093,0.064,0.0,0.0 +Wolf Ridge Ski Resort,North Carolina,North Carolina,4700,720,4000,0,0,0,1,0,1,2,4,15.0,1.0,0.6,65.0,65.0,,49.0,65.0,65.0,100.0,60.0,6,0.057207779800390615,11.148479161634366,0.17567567567567569,,0.1111111111111111,0.1791044776119403,0.26666666666666666,0.06153846153846154,0.0,0.0 +Alpine Valley,Ohio,Ohio,1500,230,1260,0,0,0,1,2,1,1,5,11.0,1.0,0.2,72.0,72.0,105.0,53.0,120.0,43.0,,72.0,5,0.042774892848893416,11.154240842368269,0.171021377672209,0.2147239263803681,0.08333333333333333,0.171021377672209,0.45454545454545453,0.06944444444444445,0.0,0.0 +Boston Mills,Ohio,Ohio,871,264,631,0,0,0,0,4,2,2,8,7.0,2.0,0.3,40.0,40.0,92.0,56.0,51.0,44.0,110.0,40.0,5,0.042774892848893416,11.154240842368269,0.09501187648456057,0.18813905930470348,0.16666666666666666,0.09501187648456057,1.1428571428571428,0.2,0.0,0.0 +Brandywine,Ohio,Ohio,871,240,631,0,0,0,2,7,2,5,16,11.0,2.0,0.3,85.0,85.0,92.0,56.0,51.0,44.0,110.0,85.0,5,0.042774892848893416,11.154240842368269,0.20190023752969122,0.18813905930470348,0.16666666666666666,0.20190023752969122,1.4545454545454546,0.18823529411764706,0.0,0.0 +Mad River Mountain,Ohio,Ohio,1460,300,1160,0,0,0,1,2,3,6,12,20.0,4.0,0.5,144.0,144.0,99.0,57.0,36.0,44.0,90.0,144.0,5,0.042774892848893416,11.154240842368269,0.342042755344418,0.20245398773006135,0.3333333333333333,0.342042755344418,0.6,0.08333333333333333,0.0,0.0 +Snow Trails,Ohio,Ohio,1475,301,1174,0,0,0,0,4,2,3,9,17.0,3.0,0.2,80.0,80.0,101.0,58.0,50.0,52.0,70.0,80.0,5,0.042774892848893416,11.154240842368269,0.19002375296912113,0.2065439672801636,0.25,0.19002375296912113,0.5294117647058824,0.1125,0.0,0.0 +Anthony Lakes Mountain Resort,Oregon,Oregon,8000,900,7100,0,0,0,0,1,0,2,3,21.0,2.0,1.5,1100.0,,75.0,56.0,300.0,40.0,80.0,,10,0.23709396768930827,10.164770936886937,0.09342619330728724,0.0635593220338983,0.09090909090909091,,0.14285714285714285,0.0027272727272727275,0.0,0.0 +Cooper Spur,Mt. Hood,Oregon,4000,350,3500,0,0,0,0,0,1,1,2,10.0,,0.1,50.0,,78.0,66.0,100.0,39.0,90.0,,10,0.23709396768930827,10.164770936886937,0.004246645150331238,0.06610169491525424,,,0.2,0.04,0.0,0.0 +Hoodoo Ski Area,Oregon,Oregon,5703,1035,4668,0,0,0,3,1,1,0,5,34.0,,0.4,806.0,,80.0,81.0,350.0,59.0,108.0,200.0,10,0.23709396768930827,10.164770936886937,0.06845591982333957,0.06779661016949153,,0.1774622892635315,0.14705882352941177,0.00620347394540943,0.0,0.0 +Mt. Ashland,Oregon,Oregon,7533,1150,6383,0,0,0,0,2,2,1,5,23.0,2.0,1.0,220.0,,94.0,55.0,300.0,52.0,92.0,40.0,10,0.23709396768930827,10.164770936886937,0.018685238661457448,0.07966101694915254,0.09090909090909091,0.0354924578527063,0.21739130434782608,0.022727272727272728,0.0,0.0 +Mt. Bachelor,Oregon,Oregon,9065,3365,5700,0,0,8,0,3,0,0,11,101.0,5.0,4.0,4318.0,20.0,185.0,61.0,462.0,99.0,185.0,,10,0.23709396768930827,10.164770936886937,0.36674027518260577,0.15677966101694915,0.22727272727272727,,0.10891089108910891,0.0025474756831866605,0.07920792079207921,0.0018527095877721167 +Mt. Hood Skibowl,Mt. Hood,Oregon,5100,1500,3600,0,0,0,0,0,4,5,9,65.0,2.0,3.0,960.0,29.0,125.0,82.0,300.0,70.0,144.0,317.0,10,0.23709396768930827,10.164770936886937,0.08153558688635977,0.1059322033898305,0.09090909090909091,0.28127772848269744,0.13846153846153847,0.009375,0.0,0.0 +Willamette Pass,Oregon,Oregon,6683,1563,5120,0,1,0,0,3,0,1,5,29.0,,2.1,555.0,60.0,3.0,78.0,430.0,60.0,100.0,,10,0.23709396768930827,10.164770936886937,0.047137761168676746,0.002542372881355932,,,0.1724137931034483,0.009009009009009009,0.0,0.0 +Bear Creek Mountain Resort,Pennsylvania,Pennsylvania,1100,510,600,0,0,0,3,1,0,2,6,23.0,3.0,1.0,86.0,86.0,91.0,52.0,30.0,60.0,90.0,86.0,19,0.14841443778775315,41.255916967038694,0.045550847457627115,0.06481481481481481,0.06382978723404255,0.056282722513089,0.2608695652173913,0.06976744186046512,0.0,0.0 +Ski Big Bear,Pennsylvania,Pennsylvania,1250,650,600,0,0,0,0,0,4,2,6,18.0,1.0,1.5,26.0,26.0,75.0,43.0,69.0,62.0,75.0,26.0,19,0.14841443778775315,41.255916967038694,0.013771186440677966,0.053418803418803416,0.02127659574468085,0.017015706806282723,0.3333333333333333,0.23076923076923078,0.0,0.0 +Big Boulder,Pennsylvania,Pennsylvania,2175,600,1700,0,0,0,0,2,5,1,8,16.0,8.0,,55.0,55.0,76.0,72.0,50.0,65.0,95.0,55.0,19,0.14841443778775315,41.255916967038694,0.02913135593220339,0.05413105413105413,0.1702127659574468,0.03599476439790576,0.5,0.14545454545454545,0.0,0.0 +Blue Knob,Pennsylvania,Pennsylvania,3146,1072,2074,0,0,0,0,2,2,2,6,34.0,1.0,2.0,100.0,84.0,87.0,56.0,120.0,68.0,105.0,42.0,19,0.14841443778775315,41.255916967038694,0.05296610169491525,0.06196581196581197,0.02127659574468085,0.0274869109947644,0.17647058823529413,0.06,0.0,0.0 +Blue Mountain Resort,Pennsylvania,Pennsylvania,1600,1082,460,0,1,1,1,1,3,9,16,39.0,5.0,1.2,164.0,164.0,122.0,42.0,33.0,65.0,112.0,164.0,19,0.14841443778775315,41.255916967038694,0.08686440677966102,0.0868945868945869,0.10638297872340426,0.10732984293193717,0.41025641025641024,0.0975609756097561,0.02564102564102564,0.006097560975609756 +Camelback Mountain Resort,Pennsylvania,Pennsylvania,2100,800,1250,0,0,2,0,3,5,6,16,37.0,5.0,1.0,166.0,166.0,100.0,56.0,50.0,70.0,100.0,160.0,19,0.14841443778775315,41.255916967038694,0.08792372881355932,0.07122507122507123,0.10638297872340426,0.10471204188481675,0.43243243243243246,0.0963855421686747,0.05405405405405406,0.012048192771084338 +Elk Mountain Ski Resort,Pennsylvania,Pennsylvania,2693,1000,1693,0,0,0,1,0,5,1,7,27.0,2.0,0.7,180.0,146.0,,60.0,60.0,69.0,100.0,90.0,19,0.14841443778775315,41.255916967038694,0.09533898305084745,,0.0425531914893617,0.058900523560209424,0.25925925925925924,0.03888888888888889,0.0,0.0 +Jack Frost,Pennsylvania,Pennsylvania,2000,600,1400,0,0,0,1,2,5,1,9,20.0,1.0,1.0,100.0,100.0,96.0,47.0,50.0,65.0,105.0,,19,0.14841443778775315,41.255916967038694,0.05296610169491525,0.06837606837606838,0.02127659574468085,,0.45,0.09,0.0,0.0 +Liberty,Pennsylvania,Pennsylvania,1190,620,570,0,0,0,5,0,0,3,8,16.0,3.0,1.0,100.0,100.0,107.0,54.0,31.0,77.0,97.0,100.0,19,0.14841443778775315,41.255916967038694,0.05296610169491525,0.07621082621082621,0.06382978723404255,0.06544502617801047,0.5,0.08,0.0,0.0 +Mount Pleasant of Edinboro,Pennsylvania,Pennsylvania,1540,340,1200,0,0,0,0,1,0,1,2,10.0,,0.5,40.0,35.0,75.0,48.0,100.0,33.0,90.0,35.0,19,0.14841443778775315,41.255916967038694,0.0211864406779661,0.053418803418803416,,0.022905759162303665,0.2,0.05,0.0,0.0 +Roundtop Mountain Resort,Pennsylvania,Pennsylvania,1400,600,800,0,0,0,3,2,0,3,8,20.0,2.0,0.4,103.0,103.0,,55.0,30.0,73.0,,100.0,19,0.14841443778775315,41.255916967038694,0.05455508474576271,,0.0425531914893617,0.06544502617801047,0.4,0.07766990291262135,0.0,0.0 +Seven Springs,Pennsylvania,Pennsylvania,2994,750,2240,0,2,0,3,5,0,4,14,33.0,7.0,1.2,285.0,285.0,99.0,87.0,135.0,87.0,115.0,200.0,19,0.14841443778775315,41.255916967038694,0.15095338983050846,0.07051282051282051,0.14893617021276595,0.13089005235602094,0.42424242424242425,0.04912280701754386,0.0,0.0 +Shawnee Mountain Ski Area,Pennsylvania,Pennsylvania,1350,700,650,0,0,1,1,0,4,4,10,23.0,2.0,1.6,125.0,125.0,100.0,44.0,50.0,65.0,122.0,120.0,19,0.14841443778775315,41.255916967038694,0.06620762711864407,0.07122507122507123,0.0425531914893617,0.07853403141361257,0.43478260869565216,0.08,0.043478260869565216,0.008 +Ski Sawmill,Pennsylvania,Pennsylvania,2215,515,1700,0,0,0,0,1,1,3,5,14.0,1.0,0.1,15.0,13.0,,50.0,24.0,44.0,90.0,15.0,19,0.14841443778775315,41.255916967038694,0.007944915254237288,,0.02127659574468085,0.00981675392670157,0.35714285714285715,0.3333333333333333,0.0,0.0 +Tussey Mountain,Pennsylvania,Pennsylvania,1750,520,1230,0,0,0,1,0,1,3,5,8.0,1.0,0.3,38.0,30.0,100.0,39.0,41.0,45.0,100.0,30.0,19,0.14841443778775315,41.255916967038694,0.020127118644067795,0.07122507122507123,0.02127659574468085,0.01963350785340314,0.625,0.13157894736842105,0.0,0.0 +Whitetail Resort,Pennsylvania,Pennsylvania,1800,935,865,0,0,1,3,0,2,2,8,23.0,2.0,1.0,120.0,120.0,116.0,28.0,40.0,71.0,100.0,120.0,19,0.14841443778775315,41.255916967038694,0.0635593220338983,0.08262108262108261,0.0425531914893617,0.07853403141361257,0.34782608695652173,0.06666666666666667,0.043478260869565216,0.008333333333333333 +Deer Mountain Ski Resort,South Dakota,South Dakota,6850,940,6040,0,0,0,0,1,1,2,4,63.0,2.0,1.6,500.0,50.0,69.0,51.0,200.0,45.0,81.0,,2,0.22607581000136776,2.593495513252762,0.5263157894736842,0.3770491803278688,0.6666666666666666,,0.06349206349206349,0.008,0.0,0.0 +Terry Peak Ski Area,South Dakota,South Dakota,7100,1100,5900,0,0,3,0,1,0,1,5,30.0,1.0,1.2,450.0,225.0,114.0,65.0,150.0,58.0,120.0,,2,0.22607581000136776,2.593495513252762,0.47368421052631576,0.6229508196721312,0.3333333333333333,,0.16666666666666666,0.011111111111111112,0.1,0.006666666666666667 +Ober Gatlinburg Ski Resort,Tennessee,Tennessee,3300,600,2700,0,0,0,2,0,1,1,4,10.0,1.0,1.0,,,83.0,44.0,35.0,65.0,94.0,,1,0.014643059321669063,2.3728170083523157,,1.0,1.0,,0.4,,0.0, +Alta Ski Area,Salt Lake City,Utah,11068,2538,8530,0,0,3,0,1,2,0,6,116.0,,1.3,2614.0,140.0,150.0,81.0,545.0,116.0,140.0,,13,0.4054950189615709,15.312673003757494,0.08568244394912809,0.09715025906735751,,,0.05172413793103448,0.0022953328232593728,0.02586206896551724,0.0011476664116296864 +Beaver Mountain,Utah,Utah,8600,1600,7232,0,0,0,0,1,3,1,5,48.0,2.0,0.8,464.0,,120.0,81.0,400.0,50.0,120.0,,13,0.4054950189615709,15.312673003757494,0.015209125475285171,0.07772020725388601,0.07692307692307693,,0.10416666666666667,0.010775862068965518,0.0,0.0 +Brian Head Resort,Utah,Utah,10970,1548,9600,0,0,1,0,6,1,0,8,71.0,2.0,0.6,650.0,216.0,149.0,54.0,360.0,59.0,148.0,,13,0.4054950189615709,15.312673003757494,0.02130588698046414,0.09650259067357513,0.07692307692307693,,0.11267605633802817,0.012307692307692308,0.014084507042253521,0.0015384615384615385 +Brighton Resort,Salt Lake City,Utah,10500,1745,8755,0,0,3,1,1,0,2,7,66.0,4.0,1.2,1050.0,200.0,138.0,83.0,500.0,85.0,138.0,200.0,13,0.4054950189615709,15.312673003757494,0.03441720204536515,0.08937823834196891,0.15384615384615385,0.3115264797507788,0.10606060606060606,0.006666666666666667,0.045454545454545456,0.002857142857142857 +Deer Valley Resort,Salt Lake City,Utah,9570,3000,6570,1,0,13,0,5,2,0,21,103.0,,2.8,2026.0,660.0,,39.0,300.0,169.0,,,13,0.4054950189615709,15.312673003757494,0.06640881080372361,,,,0.20388349514563106,0.010365251727541954,0.1262135922330097,0.006416584402764067 +Eagle Point,Utah,Utah,10600,1500,9100,0,0,0,1,1,2,1,5,40.0,1.0,0.9,650.0,,,9.0,400.0,60.0,109.0,,13,0.4054950189615709,15.312673003757494,0.02130588698046414,,0.038461538461538464,,0.125,0.007692307692307693,0.0,0.0 +Powder Mountain,Utah,Utah,9422,2522,6900,0,0,1,4,1,0,3,9,167.0,2.0,3.5,8464.0,,120.0,47.0,500.0,88.0,146.0,300.0,13,0.4054950189615709,15.312673003757494,0.27743542677330535,0.07772020725388601,0.07692307692307693,0.4672897196261682,0.05389221556886228,0.0010633270321361058,0.005988023952095809,0.00011814744801512288 +Snowbasin,Utah,Utah,9350,2900,6450,3,1,2,0,3,0,2,11,107.0,4.0,3.5,3000.0,625.0,143.0,79.0,300.0,115.0,138.0,,13,0.4054950189615709,15.312673003757494,0.09833486298675757,0.09261658031088082,0.15384615384615385,,0.102803738317757,0.0036666666666666666,0.018691588785046728,0.0006666666666666666 +Snowbird,Salt Lake City,Utah,11000,3240,7760,1,0,6,0,0,4,3,14,170.0,1.0,2.5,2500.0,,188.0,48.0,500.0,125.0,180.0,2.0,13,0.4054950189615709,15.312673003757494,0.08194571915563131,0.12176165803108809,0.038461538461538464,0.003115264797507788,0.08235294117647059,0.0056,0.03529411764705882,0.0024 +Solitude Mountain Resort,Salt Lake City,Utah,10488,2494,7994,0,0,4,2,1,1,1,9,80.0,,3.0,1200.0,150.0,161.0,62.0,500.0,119.0,148.0,,13,0.4054950189615709,15.312673003757494,0.03933394519470303,0.10427461139896373,,,0.1125,0.0075,0.05,0.0033333333333333335 +Sundance,Utah,Utah,8250,2150,6100,0,0,0,2,2,0,1,5,45.0,1.0,0.6,450.0,112.0,128.0,50.0,320.0,80.0,129.0,,13,0.4054950189615709,15.312673003757494,0.014750229448013635,0.08290155440414508,0.038461538461538464,,0.1111111111111111,0.011111111111111112,0.0,0.0 +Nordic Valley Resort,Utah,Utah,6400,960,5440,0,0,0,0,0,2,2,4,23.0,1.0,0.4,140.0,84.0,105.0,51.0,300.0,50.0,105.0,140.0,13,0.4054950189615709,15.312673003757494,0.004588960272715353,0.06800518134715026,0.038461538461538464,0.21806853582554517,0.17391304347826086,0.02857142857142857,0.0,0.0 +Bolton Valley,Vermont,Vermont,3150,1704,1446,0,0,0,2,0,3,1,6,71.0,3.0,0.6,300.0,90.0,133.0,53.0,300.0,79.0,132.0,50.0,15,2.4038885300862676,155.99001663893512,0.04144218814753419,0.07484524479459764,0.06,1.0,0.08450704225352113,0.02,0.0,0.0 +Bromley Mountain,Vermont,Vermont,3284,1334,1950,0,0,1,1,0,4,3,9,47.0,1.0,2.5,178.0,153.0,,83.0,168.0,91.0,152.0,,15,2.4038885300862676,155.99001663893512,0.02458903163420362,,0.02,,0.19148936170212766,0.05056179775280899,0.02127659574468085,0.0056179775280898875 +Burke Mountain,Vermont,Vermont,3267,2011,1210,0,0,2,1,0,0,3,6,50.0,3.0,2.2,178.0,125.0,110.0,62.0,217.0,73.0,125.0,,15,2.4038885300862676,155.99001663893512,0.02458903163420362,0.061902082160945414,0.06,,0.12,0.033707865168539325,0.04,0.011235955056179775 +Jay Peak,Vermont,Vermont,3968,2153,1815,1,0,1,3,1,1,2,9,79.0,2.0,3.0,385.0,300.0,155.0,64.0,349.0,89.0,160.0,,15,2.4038885300862676,155.99001663893512,0.05318414145600221,0.08722566122678672,0.04,,0.11392405063291139,0.023376623376623377,0.012658227848101266,0.0025974025974025974 +Killington Resort,Vermont,Vermont,4241,3050,1165,3,1,5,4,3,1,5,22,155.0,6.0,6.0,1515.0,600.0,192.0,61.0,250.0,119.0,,,15,2.4038885300862676,155.99001663893512,0.20928305014504767,0.1080472706809229,0.12,,0.14193548387096774,0.014521452145214522,0.03225806451612903,0.0033003300330033004 +Magic Mountain,Vermont,Vermont,2850,1500,1350,0,0,0,0,0,3,3,6,50.0,1.0,1.6,205.0,95.0,76.0,59.0,150.0,74.0,80.0,,15,2.4038885300862676,155.99001663893512,0.028318828567481698,0.04276871131119865,0.02,,0.12,0.02926829268292683,0.0,0.0 +Pico Mountain,Vermont,Vermont,3967,1967,2000,0,0,2,0,2,2,1,7,59.0,1.0,4.0,260.0,156.0,,82.0,250.0,81.0,,,15,2.4038885300862676,155.99001663893512,0.0359165630611963,,0.02,,0.11864406779661017,0.026923076923076925,0.03389830508474576,0.007692307692307693 +Smugglers' Notch Resort,Vermont,Vermont,3640,2610,1030,0,0,0,0,0,6,2,8,78.0,6.0,3.0,1000.0,192.0,136.0,63.0,280.0,79.0,135.0,,15,2.4038885300862676,155.99001663893512,0.1381406271584473,0.07653348339898705,0.12,,0.10256410256410256,0.008,0.0,0.0 +Sugarbush,Vermont,Vermont,4083,2600,1483,0,0,5,5,2,1,3,16,111.0,4.0,3.0,581.0,406.0,150.0,61.0,250.0,119.0,156.0,,15,2.4038885300862676,155.99001663893512,0.08025970437905788,0.08441193021947102,0.08,,0.14414414414414414,0.027538726333907058,0.04504504504504504,0.008605851979345954 +Suicide Six,Vermont,Vermont,1200,650,550,0,0,0,0,0,2,1,3,24.0,,0.4,100.0,50.0,100.0,85.0,90.0,75.0,106.0,,15,2.4038885300862676,155.99001663893512,0.01381406271584473,0.056274620146314014,,,0.125,0.03,0.0,0.0 +Bryce Resort,Virginia,Virginia,1750,500,1250,0,0,0,1,0,1,5,7,8.0,,0.4,25.0,25.0,100.0,54.0,30.0,68.0,95.0,20.0,4,0.04686299684881493,9.35125657510228,0.09293680297397769,0.273224043715847,,0.14814814814814814,0.875,0.28,0.0,0.0 +49 Degrees North,Washington,Washington,5774,1851,3932,0,0,0,1,0,5,1,7,89.0,1.0,2.0,2325.0,,101.0,48.0,301.0,62.0,135.0,250.0,10,0.13132160885254723,14.02563886785043,0.15166340508806261,0.09882583170254403,0.047619047619047616,0.12518778167250877,0.07865168539325842,0.003010752688172043,0.0,0.0 +Bluewood,Washington,Washington,5670,1125,4545,0,0,0,0,2,0,1,3,24.0,2.0,2.0,355.0,,70.0,40.0,300.0,47.0,110.0,,10,0.13132160885254723,14.02563886785043,0.023157208088714937,0.0684931506849315,0.09523809523809523,,0.125,0.008450704225352112,0.0,0.0 +Crystal Mountain,Washington,Washington,7012,3100,4400,1,2,2,1,2,2,0,10,57.0,1.0,2.5,2600.0,10.0,,57.0,486.0,99.0,,,10,0.13132160885254723,14.02563886785043,0.16960208741030658,,0.047619047619047616,,0.17543859649122806,0.0038461538461538464,0.03508771929824561,0.0007692307692307692 +Mt. Baker,Washington,Washington,5000,1500,3500,0,0,0,8,0,0,2,10,38.0,,0.7,1000.0,,143.0,66.0,663.0,60.01,165.0,,10,0.13132160885254723,14.02563886785043,0.06523157208088715,0.13992172211350293,,,0.2631578947368421,0.01,0.0,0.0 +Mt. Spokane Ski and Snowboard Park,Washington,Washington,5889,2000,4200,0,0,0,0,1,5,1,7,52.0,3.0,0.6,1704.0,,100.0,81.0,300.0,59.0,103.0,45.0,10,0.13132160885254723,14.02563886785043,0.1111545988258317,0.09784735812133072,0.14285714285714285,0.022533800701051578,0.1346153846153846,0.004107981220657277,0.0,0.0 +The Summit at Snoqualmie,Washington,Washington,3865,1025,2840,0,0,3,3,4,10,7,27,112.0,5.0,0.8,1994.0,5.0,120.0,82.0,428.0,95.0,140.0,541.0,10,0.13132160885254723,14.02563886785043,0.13007175472928897,0.11741682974559686,0.23809523809523808,0.27090635953930897,0.24107142857142858,0.01354062186559679,0.026785714285714284,0.0015045135406218655 +White Pass,Washington,Washington,6550,2050,4500,0,0,2,1,1,2,2,8,45.0,2.0,2.5,1402.0,30.0,148.0,67.0,400.0,69.0,144.0,90.0,10,0.13132160885254723,14.02563886785043,0.09145466405740378,0.14481409001956946,0.09523809523809523,0.045067601402103155,0.17777777777777778,0.005706134094151213,0.044444444444444446,0.0014265335235378032 +Canaan Valley Resort,West Virginia,West Virginia,4280,850,3430,0,0,0,1,2,0,1,4,47.0,1.0,1.2,95.0,75.0,,48.0,160.0,68.0,93.0,,4,0.22319597666932456,16.50846058605035,0.1752767527675277,,0.1111111111111111,,0.0851063829787234,0.042105263157894736,0.0,0.0 +Snowshoe Mountain Resort,West Virginia,West Virginia,4848,1500,3348,0,0,3,2,6,0,3,14,60.0,5.0,1.5,257.0,257.0,125.0,46.0,180.0,87.0,138.0,86.0,4,0.22319597666932456,16.50846058605035,0.474169741697417,0.3654970760233918,0.5555555555555556,0.45989304812834225,0.23333333333333334,0.054474708171206226,0.05,0.011673151750972763 +Timberline Four Seasons,West Virginia,West Virginia,4265,1000,3268,0,0,0,0,2,1,1,4,40.0,1.0,2.0,100.0,100.0,97.0,37.0,150.0,92.0,115.0,27.0,4,0.22319597666932456,16.50846058605035,0.18450184501845018,0.28362573099415206,0.1111111111111111,0.1443850267379679,0.1,0.04,0.0,0.0 +Winterplace Ski Resort,West Virginia,West Virginia,3600,603,2997,0,0,0,2,3,2,2,9,27.0,2.0,1.2,90.0,90.0,120.0,36.0,100.0,72.0,120.0,74.0,4,0.22319597666932456,16.50846058605035,0.16605166051660517,0.3508771929824561,0.2222222222222222,0.39572192513368987,0.3333333333333333,0.1,0.0,0.0 +Alpine Valley Resort,Wisconsin,Wisconsin,1040,388,820,0,0,3,0,3,1,5,12,21.0,3.0,0.2,90.0,90.0,100.0,55.0,80.0,65.0,120.0,90.0,15,0.2576242169511926,22.90216196408941,0.05142857142857143,0.06583278472679395,0.075,0.08450704225352113,0.5714285714285714,0.13333333333333333,0.14285714285714285,0.03333333333333333 +Bruce Mound,Wisconsin,Wisconsin,1375,375,1000,0,0,0,0,1,0,4,5,12.0,2.0,0.5,40.0,30.0,42.0,71.0,42.0,25.0,42.0,30.0,15,0.2576242169511926,22.90216196408941,0.022857142857142857,0.027649769585253458,0.05,0.028169014084507043,0.4166666666666667,0.125,0.0,0.0 +Cascade Mountain,Wisconsin,Wisconsin,1280,460,820,0,0,2,2,3,2,3,12,47.0,4.0,1.1,175.0,175.0,120.0,57.0,56.0,64.0,120.0,,15,0.2576242169511926,22.90216196408941,0.1,0.07899934167215274,0.1,,0.2553191489361702,0.06857142857142857,0.0425531914893617,0.011428571428571429 +Christie Mountain,Wisconsin,Wisconsin,1650,350,1300,0,0,0,0,0,1,5,6,30.0,4.0,0.8,45.0,41.0,92.0,43.0,48.0,38.0,120.0,35.0,15,0.2576242169511926,22.90216196408941,0.025714285714285714,0.06056616194865043,0.1,0.03286384976525822,0.2,0.13333333333333333,0.0,0.0 +Devils Head,Wisconsin,Wisconsin,995,500,495,0,0,0,3,1,6,2,12,27.0,1.0,1.0,260.0,260.0,110.0,48.0,45.0,65.0,135.0,200.0,15,0.2576242169511926,22.90216196408941,0.14857142857142858,0.07241606319947334,0.025,0.18779342723004694,0.4444444444444444,0.046153846153846156,0.0,0.0 +Grand Geneva,Wisconsin,Wisconsin,1086,211,875,0,0,0,0,0,3,3,6,20.0,1.0,0.2,30.0,30.0,90.0,25.0,25.0,49.0,93.0,30.0,15,0.2576242169511926,22.90216196408941,0.017142857142857144,0.05924950625411455,0.025,0.028169014084507043,0.3,0.2,0.0,0.0 +Granite Peak Ski Area,Wisconsin,Wisconsin,1942,700,1242,0,1,2,0,2,0,2,7,75.0,4.0,0.6,220.0,160.0,136.0,82.0,75.0,92.0,135.0,200.0,15,0.2576242169511926,22.90216196408941,0.12571428571428572,0.08953258722843976,0.1,0.18779342723004694,0.09333333333333334,0.031818181818181815,0.02666666666666667,0.00909090909090909 +Mount La Crosse,Wisconsin,Wisconsin,1110,516,594,0,0,0,0,0,3,1,4,19.0,1.0,0.4,100.0,100.0,115.0,60.0,40.0,56.0,100.0,90.0,15,0.2576242169511926,22.90216196408941,0.05714285714285714,0.07570770243581304,0.025,0.08450704225352113,0.21052631578947367,0.04,0.0,0.0 +Nordic Mountain,Wisconsin,Wisconsin,1137,265,872,0,0,0,0,1,1,5,7,18.0,4.0,1.0,60.0,60.0,68.0,43.0,80.0,47.0,90.0,60.0,15,0.2576242169511926,22.90216196408941,0.03428571428571429,0.04476629361421988,0.1,0.056338028169014086,0.3888888888888889,0.11666666666666667,0.0,0.0 +Sunburst,Wisconsin,Wisconsin,1100,214,866,0,0,0,0,0,3,6,9,13.0,4.0,0.5,37.0,37.0,99.0,59.0,50.0,44.0,115.0,37.0,15,0.2576242169511926,22.90216196408941,0.021142857142857144,0.065174456879526,0.1,0.03474178403755868,0.6923076923076923,0.24324324324324326,0.0,0.0 +Trollhaugen,Wisconsin,Wisconsin,1200,260,920,0,0,0,2,0,1,5,8,24.0,4.0,0.5,86.0,86.0,130.0,69.0,50.0,54.0,120.0,86.0,15,0.2576242169511926,22.90216196408941,0.04914285714285714,0.08558262014483213,0.1,0.08075117370892018,0.3333333333333333,0.09302325581395349,0.0,0.0 +Tyrol Basin,Wisconsin,Wisconsin,1160,300,860,0,0,0,0,3,0,2,5,18.0,5.0,0.5,32.0,32.0,112.0,61.0,41.0,48.0,103.0,32.0,15,0.2576242169511926,22.90216196408941,0.018285714285714287,0.07373271889400922,0.125,0.03004694835680751,0.2777777777777778,0.15625,0.0,0.0 +Whitecap Mountain,Wisconsin,Wisconsin,1750,400,1295,0,0,0,1,0,4,0,5,43.0,1.0,1.0,400.0,300.0,105.0,57.0,200.0,60.0,118.0,,15,0.2576242169511926,22.90216196408941,0.22857142857142856,0.06912442396313365,0.025,,0.11627906976744186,0.0125,0.0,0.0 +Wilmot Mountain,Wisconsin,Wisconsin,1030,230,800,0,0,0,3,2,2,3,10,23.0,2.0,0.5,135.0,135.0,125.0,81.0,70.0,66.0,139.0,135.0,15,0.2576242169511926,22.90216196408941,0.07714285714285714,0.08229098090849243,0.05,0.1267605633802817,0.43478260869565216,0.07407407407407407,0.0,0.0 +Grand Targhee Resort,Wyoming,Wyoming,9920,2270,7851,0,0,2,2,0,0,1,5,95.0,1.0,2.7,2602.0,,152.0,50.0,500.0,90.0,152.0,,8,1.3822679215355613,8.17887192908918,0.3988962133987429,0.2122905027932961,0.07142857142857142,,0.05263157894736842,0.001921598770176787,0.021052631578947368,0.0007686395080707148 +Hogadon Basin,Wyoming,Wyoming,8000,640,7400,0,0,0,0,0,1,1,2,28.0,1.0,0.6,92.0,32.0,121.0,61.0,80.0,48.0,95.0,,8,1.3822679215355613,8.17887192908918,0.01410393990495171,0.16899441340782123,0.07142857142857142,,0.07142857142857142,0.021739130434782608,0.0,0.0 +Sleeping Giant Ski Resort,Wyoming,Wyoming,7428,810,6619,0,0,0,0,1,1,1,3,48.0,1.0,1.0,184.0,18.0,61.0,81.0,310.0,42.0,77.0,,8,1.3822679215355613,8.17887192908918,0.02820787980990342,0.08519553072625698,0.07142857142857142,,0.0625,0.016304347826086956,0.0,0.0 +Snow King Resort,Wyoming,Wyoming,7808,1571,6237,0,0,0,1,1,1,0,3,32.0,2.0,1.0,400.0,250.0,121.0,80.0,300.0,59.0,123.0,110.0,8,1.3822679215355613,8.17887192908918,0.06132147784761613,0.16899441340782123,0.14285714285714285,1.0,0.09375,0.0075,0.0,0.0 +Snowy Range Ski & Recreation Area,Wyoming,Wyoming,9663,990,8798,0,0,0,0,1,3,1,5,33.0,2.0,0.7,75.0,30.0,131.0,59.0,250.0,49.0,,,8,1.3822679215355613,8.17887192908918,0.011497777096428024,0.1829608938547486,0.14285714285714285,,0.15151515151515152,0.06666666666666667,0.0,0.0 +White Pine Ski Area,Wyoming,Wyoming,9500,1100,8400,0,0,0,0,2,0,0,2,25.0,,0.4,370.0,,,81.0,150.0,49.0,,,8,1.3822679215355613,8.17887192908918,0.05672236700904492,,,,0.08,0.005405405405405406,0.0,0.0 diff --git a/data/state_summary.csv b/data/state_summary.csv new file mode 100644 index 000000000..53979a710 --- /dev/null +++ b/data/state_summary.csv @@ -0,0 +1,36 @@ +state,resorts_per_state,state_total_skiable_area_ac,state_total_days_open,state_total_terrain_parks,state_total_nightskiing_ac,state_population,state_area_sq_miles +Alaska,3,2280.0,345.0,4.0,580.0,731545,665384 +Arizona,2,1577.0,237.0,6.0,80.0,7278717,113990 +California,21,25948.0,2738.0,81.0,587.0,39512223,163695 +Colorado,22,43682.0,3258.0,74.0,428.0,5758736,104094 +Connecticut,5,358.0,353.0,10.0,256.0,3565278,5543 +Idaho,12,16396.0,1136.0,27.0,415.0,1787065,83569 +Illinois,4,191.0,221.0,6.0,191.0,12671821,57914 +Indiana,2,165.0,157.0,4.0,165.0,6732219,36420 +Iowa,3,140.0,100.0,5.0,140.0,3155070,56273 +Maine,9,3216.0,865.0,17.0,388.0,1344212,35380 +Maryland,1,172.0,121.0,3.0,118.0,6045680,12406 +Massachusetts,11,1166.0,671.0,18.0,583.0,6892503,10554 +Michigan,28,4406.0,2389.0,63.0,1946.0,9986857,96714 +Minnesota,14,1560.0,1490.0,29.0,1020.0,5639632,86936 +Missouri,2,60.0,69.0,2.0,47.0,6137428,69707 +Montana,12,21410.0,951.0,27.0,710.0,1068778,147040 +Nevada,4,2110.0,415.0,9.0,0.0,3080156,110572 +New Hampshire,16,3427.0,1847.0,43.0,376.0,1359711,9349 +New Jersey,2,190.0,170.0,4.0,181.0,8882190,8723 +New Mexico,9,5223.0,966.0,18.0,50.0,2096829,121590 +New York,33,5514.0,2384.0,72.0,2836.0,19453561,54555 +North Carolina,6,370.0,506.0,9.0,335.0,10488084,53819 +Ohio,5,421.0,489.0,12.0,421.0,11689100,44826 +Oregon,10,11774.0,1180.0,22.0,1127.0,4217737,98379 +Pennsylvania,19,1888.0,1404.0,47.0,1528.0,12801989,46054 +Rhode Island,1,30.0,100.0,1.0,30.0,1059361,1545 +South Dakota,2,950.0,183.0,3.0,0.0,884659,77116 +Tennessee,1,0.0,83.0,1.0,0.0,6829174,42144 +Utah,13,30508.0,1544.0,26.0,642.0,3205958,84897 +Vermont,15,7239.0,1777.0,50.0,50.0,623989,9616 +Virginia,4,269.0,366.0,4.0,135.0,8535519,42775 +Washington,10,15330.0,1022.0,21.0,1997.0,7614893,71298 +West Virginia,4,542.0,342.0,9.0,187.0,1792147,24230 +Wisconsin,15,1750.0,1519.0,40.0,1065.0,5822434,65496 +Wyoming,8,6523.0,716.0,14.0,110.0,578759,97813 diff --git a/models/ski_resort_pricing_model.pkl b/models/ski_resort_pricing_model.pkl new file mode 100644 index 000000000..d7277f7cb Binary files /dev/null and b/models/ski_resort_pricing_model.pkl differ