diff --git a/places/arabian-nights.md b/places/arabian-nights.md index be8c698..b10f677 100644 --- a/places/arabian-nights.md +++ b/places/arabian-nights.md @@ -16,4 +16,4 @@ instagram_published: False From the name and outside, you might assume this is a generic and bad Middle Eastern place, but actually it's good AND quirky. You want to make your way to the back patio and eat out there with all the people going full hog on the shisha. -We got a bunch of food, all of it was good. **Falafel**, **cauliflower**, **baba ghannouj**, **zatar manakeesh**, and especially **makdous**. Each dish is under $10, so a good way to snack and get some of that fruity smoke in you. +We got a bunch of food, all of it was good. **Falafel**, **baba ghannouj**, **zatar manakeesh**, and especially the **cauliflower** and **makdous**. Each dish is under $10, so a good way to snack and get some of that fruity smoke in you. diff --git a/places/atlas-cafe.md b/places/atlas-cafe.md new file mode 100644 index 0000000..98cb465 --- /dev/null +++ b/places/atlas-cafe.md @@ -0,0 +1,17 @@ +--- +name: Atlas Cafe +cuisine: American +address: 3049 20th St +area: Mission District +lat: 37.75894244948192 +lon: -122.41146362952004 +phone: +menu: https://atlascafe.net/#sec-1 +drinks: False +visited: "2024-09-25" +taste: 1 +value: 2 +instagram_published: False +--- + +Good sandwich cafe and look at how beautiful the cortado is. I got the **new roasted yam** sandwich made vegan. Very tasty. I would go go back to try other sandwiches. Like $17 with tax and tip (not including the coffee). diff --git a/places/cultured-pickle-shop.md b/places/cultured-pickle-shop.md new file mode 100644 index 0000000..a44b40a --- /dev/null +++ b/places/cultured-pickle-shop.md @@ -0,0 +1,19 @@ +--- +name: Cultured Pickle Shop +cuisine: American +address: 800 Bancroft Way Suite #105 +area: Berkeley +lat: 37.8629036 +lon: -122.2970935 +phone: "+15105405185" +menu: https://www.culturedpickleshop.com/rice-pickles +drinks: False +visited: "2024-09-29" +taste: 2 +value: 2 +instagram_published: False +--- + +Those who are any less than pickle admirers should avert their eyes. + +This is a pickle workshop. You need to send an email to book and you get to sit and witness the pickle work being done. You get 15 of the most Berkeley-esque farm-to-table-organic-handmade **pickles in a rice bowl** and it's outstanding. I think every week is different, as they are constantly riffing with what they have available and what they remembered they were working on a few years ago. It's around $39 for the tasting and you can add on drinks and extras (the sesame goma dofu is worth it). diff --git a/places/four-kings.md b/places/four-kings.md new file mode 100644 index 0000000..090461b --- /dev/null +++ b/places/four-kings.md @@ -0,0 +1,19 @@ +--- +name: Four Kings +cuisine: Chinese +address: 710 Commercial St +area: Chinatown +lat: 37.7940708 +lon: -122.4051035 +phone: +menu: https://www.itsfourkings.com/menu +drinks: True +visited: "2024-08-04" +taste: 2 +value: 2 +instagram_published: False +--- + +Damn this place is good. It was bordering on a phenomenal rating but there were a couple misses. + +They've got a vegan menu so ask for that. Highly recommend getting the **sichuan cabbage** and the **chiuchow olive green beans**, probably one of the best things I've had in the bay. We went with 4 people and had to reorder a few things because there's not thaaat many vegan options, all the ones they have are small. But it's very good. diff --git a/places/mensho-tokyo-sf.md b/places/mensho-tokyo-sf.md index df0deff..701706e 100644 --- a/places/mensho-tokyo-sf.md +++ b/places/mensho-tokyo-sf.md @@ -11,7 +11,7 @@ drinks: True visited: "2024-09-13" taste: 3 value: 3 -instagram_published: False +instagram_published: True --- From the moment they equip you with a generously sized spoon, you know you are in for something extraordinary. Only a worthy ramen needs such cutlery—and worthy it was. The **Vegan G.K.O** boasts that it has garlic 5 ways. And indeed, it is marvelously suffused. Some of the ways are evident; pearlescent cloves and dried shavings bob in a rich broth, whereas others invite subtly and playfulness. Is it an oil? A salt? The depth of flavor penetrates well beneath the garlic, however. Roasted corn, mushrooms, and scallions create a riot of vegetal and sweet undertones. For something a little duskier, I’d recommend the **Vegan Tantamen** ramen. Here, a smoky influence converges with mushrooms and minced soy beans in a nutty harmony. The atmosphere is lively, the servers are warm, and as one leaves they cannot help but feel envious of those still awaiting their food. diff --git a/places/menya-kanemaru-golden-ramen.md b/places/menya-kanemaru-golden-ramen.md index 62da9f4..ee6c1fe 100644 --- a/places/menya-kanemaru-golden-ramen.md +++ b/places/menya-kanemaru-golden-ramen.md @@ -8,7 +8,7 @@ lon: -122.4227429 phone: "+14155276577" menu: https://www.menya-kanemaru.com/menus drinks: True -visited: "2022-11-13" +visited: "2024-09-08" taste: 1 value: 1 instagram_published: True @@ -17,3 +17,5 @@ instagram_published: True This **ramen place** has a whole bunch of vegan options. I went for the curry tantan ramen, which might have been a mistake because I don't love Japanese curry. It was alright, I want to try what else is there. They've also got non-ramen vegan shit. All in all cost $23 with tax and tips. + +UPDATE: went back and got a daily special soy milk ramen which was alright but my friend got the **tomato miso ramen** and that was really good!! diff --git a/places/mezze-and-mooore.md b/places/mezze-and-mooore.md new file mode 100644 index 0000000..fe9be48 --- /dev/null +++ b/places/mezze-and-mooore.md @@ -0,0 +1,19 @@ +--- +name: Mezze and Mooore +cuisine: Middle Eastern +address: 198 Guerrero St +area: Mission District +lat: 37.7681355 +lon: -122.424627 +phone: "+14156545089" +menu: https://www.mezzeandmooore.com/order +drinks: False +visited: "2024-08-05" +taste: 1 +value: 2 +instagram_published: False +--- + +Good Middle Eastern place with all the stuff you want. I went too long ago before writing this review so **I don't remember** exactly what was good. But it was alright, I'd go back and eat again! + +We also got way too much too food so price estimate is not useful here. diff --git a/places/tadaima.md b/places/tadaima.md new file mode 100644 index 0000000..e394efb --- /dev/null +++ b/places/tadaima.md @@ -0,0 +1,17 @@ +--- +name: Tadaima +cuisine: Japanese +address: 3515 20th St B +area: Mission District +lat: 37.7584516 +lon: -122.4195436 +phone: +menu: +drinks: False +visited: "2024-10-22" +taste: 1 +value: 2 +instagram_published: False +--- + +Little matcha cafe with a very serious looking Japanese chef in the back. The matcha was nice. But this is not a review site for matcha, that is many other people's game. And we are in the game of harsh vegan food reviews. They only have one vegan food, it is the **shitake mushroom & pickle onigiri**, you get a plate of 2 for $9 after tip and tax. Very seaweed-forward flavor. Very tasty. I will be back for a snack. diff --git a/raw/food/atlas-cafe.jpg b/raw/food/atlas-cafe.jpg new file mode 100644 index 0000000..1500d90 Binary files /dev/null and b/raw/food/atlas-cafe.jpg differ diff --git a/raw/food/cultured-pickle-shop.jpg b/raw/food/cultured-pickle-shop.jpg new file mode 100644 index 0000000..b77ec51 Binary files /dev/null and b/raw/food/cultured-pickle-shop.jpg differ diff --git a/raw/food/four-kings.jpg b/raw/food/four-kings.jpg new file mode 100644 index 0000000..55d3a7a Binary files /dev/null and b/raw/food/four-kings.jpg differ diff --git a/raw/food/mezze-and-mooore.jpg b/raw/food/mezze-and-mooore.jpg new file mode 100644 index 0000000..5d1536a Binary files /dev/null and b/raw/food/mezze-and-mooore.jpg differ diff --git a/raw/food/tadaima.jpg b/raw/food/tadaima.jpg new file mode 100644 index 0000000..a367283 Binary files /dev/null and b/raw/food/tadaima.jpg differ diff --git a/scripts/Untitled.ipynb b/scripts/Untitled.ipynb index 1b6aa8d..c4482ef 100644 --- a/scripts/Untitled.ipynb +++ b/scripts/Untitled.ipynb @@ -2,7 +2,7 @@ "cells": [ { "cell_type": "code", - "execution_count": 8, + "execution_count": 1, "id": "bdc9347c-1402-413e-b317-d5338983b72d", "metadata": {}, "outputs": [], @@ -12,7 +12,7 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 2, "id": "1c7e5211-f3c8-4d2f-96f5-d09e60db8cef", "metadata": {}, "outputs": [], @@ -70,7 +70,7 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 3, "id": "e933e126-fae9-4f0c-b95b-c51ac6897ab9", "metadata": {}, "outputs": [], @@ -96,40 +96,40 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 6, "id": "18815ff6-af29-41cd-afb0-23b65300213e", "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "['Ramenwell',\n", - " \"Rhea's Deli & Market\",\n", - " 'Souvla',\n", - " 'Sunflower',\n", - " \"Reem's California Mission\",\n", - " 'Dinosaurs',\n", - " 'House of Dim Sum (Mission)',\n", - " 'Al Carajo',\n", - " 'Menya Kanemaru Golden Ramen',\n", - " 'Whiz Burgers Drive-In']" + "['Mensho Tokyo SF']" ] }, - "execution_count": 11, + "execution_count": 6, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "places = sorted(places, key=lambda x: -x['review_age'])\n", + "places = sorted(places, key=lambda x: x['review_age'])\n", "places = [p for p in places if p['instagram_published'] is False]\n", - "places_to_update = places[:10]\n", + "places = [p for p in places if p['name'] != \"Fiji Airways\"]\n", + "places_to_update = places[:1]\n", "[p['name'] for p in places_to_update]" ] }, { "cell_type": "code", - "execution_count": 12, + "execution_count": null, + "id": "9e9082ac-e969-45d3-90d7-7f21aa7768eb", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": 7, "id": "71b35eff-bb91-49d3-9977-6a5e106f21de", "metadata": {}, "outputs": [ @@ -139,25 +139,25 @@ "text": [ "Message: \n", "Stacktrace:\n", - "#0 0x5d5d6030edc3 \n", - "#1 0x5d5d5fffd4e7 \n", - "#2 0x5d5d6004835d \n", - "#3 0x5d5d60048411 \n", - "#4 0x5d5d6008b774 \n", - "#5 0x5d5d6006a47d \n", - "#6 0x5d5d60088c29 \n", - "#7 0x5d5d6006a1f3 \n", - "#8 0x5d5d6003b28a \n", - "#9 0x5d5d6003bc5e \n", - "#10 0x5d5d602d30eb \n", - "#11 0x5d5d602d703b \n", - "#12 0x5d5d602bf201 \n", - "#13 0x5d5d602d7ba2 \n", - "#14 0x5d5d602a40bf \n", - "#15 0x5d5d602fdf18 \n", - "#16 0x5d5d602fe0f0 \n", - "#17 0x5d5d6030df14 \n", - "#18 0x759958294ac3 \n", + "#0 0x5f97a9c402da \n", + "#1 0x5f97a990e200 \n", + "#2 0x5f97a995daa2 \n", + "#3 0x5f97a995dd41 \n", + "#4 0x5f97a99a3964 \n", + "#5 0x5f97a99828fd \n", + "#6 0x5f97a99a0dfd \n", + "#7 0x5f97a9982673 \n", + "#8 0x5f97a9950473 \n", + "#9 0x5f97a995147e \n", + "#10 0x5f97a9c070db \n", + "#11 0x5f97a9c0b071 \n", + "#12 0x5f97a9bf39d5 \n", + "#13 0x5f97a9c0bbf2 \n", + "#14 0x5f97a9bd8b6f \n", + "#15 0x5f97a9c2f248 \n", + "#16 0x5f97a9c2f417 \n", + "#17 0x5f97a9c3f0cc \n", + "#18 0x76a247094ac3 \n", "\n" ] } @@ -170,7 +170,7 @@ }, { "cell_type": "code", - "execution_count": 13, + "execution_count": 9, "id": "126836ee-fc97-4d2b-92fa-f081391ef877", "metadata": {}, "outputs": [], @@ -183,20 +183,7 @@ "execution_count": null, "id": "e48bd86f-323a-431e-997a-85b8f4bb1daf", "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "sleeping for 2.5885458402866917 minutes\n", - "sleeping for 2.7724875113208625 minutes\n", - "sleeping for 2.325053631011372 minutes\n", - "sleeping for 2.27575346484935 minutes\n", - "sleeping for 2.4683243310137586 minutes\n", - "sleeping for 2.4311894266396186 minutes\n" - ] - } - ], + "outputs": [], "source": [ "for place in places_to_update:\n", " try:\n", @@ -229,10 +216,97 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 3, "id": "970a9c23-ae9e-418b-a0b7-e3b3290dafff", "metadata": {}, "outputs": [], + "source": [ + "places = sorted(places, key=lambda x: -x['review_age'])" + ] + }, + { + "cell_type": "code", + "execution_count": 43, + "id": "c74c1119-5294-4392-912f-3ea864b70978", + "metadata": {}, + "outputs": [], + "source": [ + "values = [p['taste'] for p in places]" + ] + }, + { + "cell_type": "code", + "execution_count": 104, + "id": "4fbe882f-2d0f-4ca0-9771-bf6e451fcf3f", + "metadata": {}, + "outputs": [], + "source": [ + "df = pd.DataFrame(values, columns=['value'])\n", + "window = 50\n", + "\n", + "df.index.name = \"n_reviews\"\n", + "df['prop_0'] = 0.0\n", + "df['prop_1'] = 0.0\n", + "df['prop_2'] = 0.0\n", + "df['prop_3'] = 0.0\n", + "\n", + "for i in range(len(df)):\n", + " counts = df.loc[i-window:i, 'value'].value_counts(normalize=True)\n", + " df.loc[i, 'prop_0'] = counts.get(0, 0)\n", + " df.loc[i, 'prop_1'] = counts.get(1, 0)\n", + " df.loc[i, 'prop_2'] = counts.get(2, 0)\n", + " df.loc[i, 'prop_3'] = counts.get(3, 0)\n", + "\n", + "df.index += 1\n", + "df = df.reset_index()" + ] + }, + { + "cell_type": "code", + "execution_count": 105, + "id": "a14fc6b7-9f7f-4c04-8e67-904b00622f38", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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pgxvN4EOYir19OwtOLA1ubt9mwRmgnv1kjrAwFtBlZABffKGeHt61K9vnrC5dAkpK9O/z92f12dz/MiuLLdzYHI5j1wtw0AcycZiHHnoI99xzD9LS0nD48GHs2LED77zzDr5o7MZuql+/fsjMzAQAdO3aVWccyebNm9GzZ0/V39HR0TYruydxaHAzffp0lJWVYcWKFSgoKECfPn2wfft2dOzYEQBQUFCgteZNQ0MDnn/+eeTn58PX1xe9e/fGn3/+abXxEMSDZWezhfqajsa3xhTwppKS2GrHgG7wkZjIgpvkZOBf/7Ls+nv2sBWRu3cHOna0bJZXUhILbl59Vb0tJIRNXbdBcs8WO3AAGDnS+DEffQTMn294/44drGvQVMOHAwcPmn48MUzsx1pQHHXfZvLx8UFiYiISExPx2muv4amnnsLrr7+ODz74AABbi21o4yrk3t7e6CKsVK5HdHS00f3EMg4fUDx37lzMnTtX774NGzZo/f3iiy/ixRdftEOpiMfZto0FAUFB6m6Y6GjgwQetf19DhrA8Va1bqxfvEwjBVEtSMQhdUpa02giefpoFSbdusb+vX2cDoPftA5zxy8T//sd+t2nDuhI1VVcDN2+yY4wFNz//zH6HhLD/jTFXrgCHDrHrRkVZXm7CcJzJXUPOqFevXti6dSuSkpLQpk0bvP322/j1118dXSyP5vDghhCnIAQEr78OaMyuswmRCFi/Xv++nj2Bdu2A/HzWGmFJgGKNhQc7d1Z3bQHAM8+wMqekOGdwI/z/1q8HHnpIe19ODns8hw+zcVT6ZujwvPoa333XfN3ddRdw/DhLjDp7dsvLT1xCWVkZHn74Yfz9739Hv379EBgYiBMnTuCdd97B1KlTERAQgC+++ALTp0/HPffcgwULFqBr166oqqrCjh07AIAWnbUTh+eWIsTh6uuBvXvZ7Za0dlgDx+mmaTBHdjb7kUjUY2WswZlXLr5xAzh/ngWN48bp7u/Uif1ozIDTcfEia53y9m6+ewtw7vogNhMQEIC7774bH3zwAUaNGoU+ffpg6dKlePrpp/HJJ58AYOvgHDp0CH5+fpg9eza6d++OcePGYffu3TqDiYntUMsNIQcPsi6giAjAlBxMtpaYCHz9tXZSTVMJ5wwfDgQGWq9M48ax4OH8eRZMtCSJqLUJj3nIEMPdSUlJwGefsWBkwgTd/UKQMnKkaV2BSUnAypXsvpVK6w86J07J29sbq1atwqpVq4weN3jwYPwsdHMaEBMTo1oB2JL9xDh6RRKi2Y1jp4WqjBKmYp86xTJ0m8Ma4230adOGBQ+a9+EsTOmGa641zNyuvGHD2MDq4mLg9GnTziGE2A0FN4RYMzmmNYSGAoMGsdupqaafJ5cDu3ax27aa5QU4V1eMUqmuI2MB3dixbD2hixcBjRmYAICGBvO7Jb282DUB5wv2CCEU3BAPV1LCpjwD6hYTZ2BJIHH8OHDnDuuaiYuzXZlSU1lQ4QwyM9ksroAAoHHqrV7BwcDddwMAOCEAFBw+zGZUhYWZt7YQjbshxGlRcEM8m/Ctv39/51qJV/jgTElhM3lMIXzINqZ4sLq772bjeEpLWVDhDITHPG4c0NzS7I11Kmra0iJcw9wFG4VgLy0NMCOhHyHE9ii4IZ7N2bqkBPHxbGBrYSFw9qxp59hqvI1AKlV3xThLa4U5j7nxf8zt3s0WObTkGpq6d2drIdXXswCHEOI0KLghnovnnTe4EVIxAKYFEnfuAEeOsNu2nM7uTONuqqv1p7Ew5K67gKAgcOXlCBYSl5aVASdOsNvm1hvHabewEUKcBgU3xHNlZbEVZn18gBEjHF0aXeYEEkLKhW7dgJgY25fpwAEWXDjS/v1sMHDHjizvVXMkEpaoFECY0K22axcLcvv0sWylYWcK9gghKrTODXF9cjnw1FMsWAEg5nncxXFsrZfQUMPnCR9Io0bpX7XW0YRWgT17VINhDcrP1z7HVrp0YcHEtWtsAK+fH2vBePJJlrLBEhUVwOOPqx+DqQoK2O/ERNOn8CcmAr/+is7btkEcH9/yektIYPd95gwrT2SkZdfRdPUqWyX73/8GBg9u+fUI8UAU3BDXt3s38M03qj9FACIBKH780XguIWftkhL06sVaYi5dAo4dM+2cBx6wbZk4jt3HmjXaY4EuXACeeIK1jphr82agJXl4zHnMkyeDl0rhVVnJZpcJ7r/fsvsOCWEz006cYIPTZ82y7Dqa3nmH1Ud9PfDnny2/HiEeiIIb4vqEIOWee4A5c6DcuhWiL78El5JiOLjRTLngrMENx7GuF80PYWPCwti4EltbtYrll6qvZ3/Pns0SbB4/zha3M5fw/3viCfMTlYaENN+qpaljR8hPnMDJn37C4MGDIZFI2MrULWkhSUxkwU1ysnWCG6E+9u5ldezt3fJrErfAcRx+/fVX3G9pMO5BKLghrk8YzDlzJjBlCpQhISy42beP5RPSN0X40CHnSrlgSHg44Gy5aHx8tLtxEhJYxu2UFPODG4VCvfDg009bFhyZq2dPFA0ZAn7y5Oanj5siKYkFfNZIxZCTw3KDAWx6+eHD1s0RRlqssLAQq1atwp9//okbN26gVatW6Nq1K2bOnInZs2fDz8/P0UUkoAHFxNUVFLDl7zlOtQgfP2AA6gMDwVVUGO7O0VzbxBlSLriylgyqPXmStfq0aqVO7+BqhFQMRUVs7E1LGFqDhziFnJwcDBw4EMnJyVi5ciUyMjKQmpqKRYsW4ffff0eqOSuKE5ui4Ia4NuHNZNAg1kUBAGIxSvr3Z7etlUuIGCa04hw5wqakm0P4PyQkWDZexxloTttv6ZRwoT569tT+mziFuXPnQiKR4MSJE5g2bRp69uyJvn374qGHHsKff/6Je++9FwCQl5eHqVOnIiAgAEFBQZg2bRqKioq0rrVu3Tp07twZXl5e6N69O7799lut/ZcvX8aoUaPg4+ODXr16IYWWGzALBTfEtRlYgE0V3Oh7QygpAdLT2W1nSrngqmJi2MBnhYLN7DKHrRcetBdrpGLQzA0mZJ1OT2fPVzfH8zyqG6od8mNq5u2ysjIkJyfjn//8J/z9/fUew3EceJ7H/fffj/Lycuzbtw8pKSnIzs7G9OnTVcf9+uuveO655/Cvf/0LZ8+exTPPPIMnnngCexpfP0qlEg8++CDEYjGOHDmCzz77DC+99FLLK9qDuOhXJUJgdBG+kgED2I2jR4Hbt1luIYFmyoWICFuX0jMkJbFZXcnJps88qqxkY5+E812ZUP79+9lYLl9f86+hmRtsyhSW5+r0aRbwPPKIdcvrZGpkNQhYFeCQ+656uQr+XvqDFU1XrlwBz/Po3r271vaQkBDU1dUBAP75z39i/PjxOH36NHJzcxEdHQ0A+Pbbb9G7d28cP34cQ4YMwXvvvYfHH38cc+fOBQAsXrwYR44cwXvvvYexY8ciNTUVWVlZuHr1Ktq3bw8AWLlyJSZNmmTNh+7WqOWGuK4zZ9g4Bz8/tqaNhtrQUPDdu7MBnrt3a58ntBa4+geqM7Fkpd69e1lrRefOQKdONimW3fToAbRv37JUDELdJSSw3GC0+rFT4pqM0Tt27BgyMzPRu3dv1NfXIysrC9HR0arABgB69eqF4OBgZDWuxZWVlYX4+Hit68THx2vt79ChgyqwAYBh9hhs70ao5Ya4LuFNf8wYvdNllYmJEF+8yI4Tphhrtva4eleIMxkzho2ZuXKFzfgxJVhxpyCT49jj+Oor9rgseUxNWyGTkoD332fbed6tB777Sf1Q9XKVw+7bFF26dAHHcbhw4YLW9k6Nz3XfxtY6nud1AiB925seo7lfX1eZvmsSw6jlhriuZoIUvnGpfa1xEFlZbFVaZ0254KqCgtTTuE1taXC3ILMl42705QYbOZIF7TdusEUS3RjHcfD38nfIj6lBQ9u2bZGYmIhPPvkE1UZSj/Tq1Qt5eXm4fv26atv58+dx584d9GwcKN6zZ08cEPKiNTp06JBqv3CNmzdvqvYfPnzY5PokFNwQV1VXx8Y3AAa/JfOjR7N1TDTXDtFMuWDJuAhimDlTwvPygIsXWfeLkGnc1Y0fz1pXTp9Wp4Ywlb7cYL6+7HkK0KwpJ7F27VrI5XIMHjwYmzdvRlZWFi5evIhNmzbhwoULEIvFGD9+PPr164fHHnsM6enpOHbsGGbPno3Ro0djcONikS+88AI2bNiAzz77DJcvX8bq1auxZcsWPP/88wCA8ePHo3v37pg9ezZOnTqFtLQ0vPLKK4586C6HuqXsZd8+oLCwZdcQEv9pDo4FgIYGtD13Dpg4sWXXd3ZXr7IBwgBw+TILcNq1U0+bbSoggI3F2bcPWL2afVBs3sz2uUNXiLNJSgKWLmUDYIV6NkQYSHz33brPZ1cVEsKWJDh5Un8qhspKtr2hQffc775jv5s+L5OSWEvYjz+qB7+3aaMOpIhdde7cGRkZGVi5ciVefvll3LhxA97e3ujVqxeef/55zJ07FxzHYevWrZg/fz5GjRoFkUiEiRMn4uOPP1Zd5/7778eHH36Id999FwsWLEBsbCy+/vprjGlcUkAkEuHXX3/Fk08+ibvuugsxMTH46KOPMNHd3+Otifcwd+7c4QHwd+7csd+dpqTwPOs1b/nP//2fzuXlS5bwPMDL33/ffo/J3uRynm/fXrc+Hn9c59CGhgZ+69atfENDA8+/8Yb+ejx1ygEPwjG06sOW5HKeb93avOfz66/btkx62LQ+Xn6ZPa5Zs3T3Pf108/Xx22/a52Rm6j/up5+sVmS7PT8a1dbW8ufPn+dra2vtcn/mUCgU/K1bt3iFQuHoojgFR9SHseeHOZ/f1HJjD7/9xn7HxACxsZZdo6EBOHgQ+OsvdtvLS7VL1Jh0kPv1V5ZN2B2lp7OxBz4+6rEd/v7Aiy8aP+8f/wAyMoDycvW2u+4C+va1XVk9lVgMfPQR8PXX7CO4Oa1bA3Pm2L5c9pSYyNaoaToImOeBbdvY7bvuYs/dpjp3BppO9e3XD3jpJfVK2zdusFbL334DHn7Ydo+DEBdHwY09CAMsV6+2PGuzUglERgLFxSzfzOjRbPv16+AuXgQAcEeOsKbvwEArFNrJCHU4caJ5GaRDQ1neI2IfM2eyH081fDhbmkBIxdCvH9uuuWzB/v2mJ8PkOOCtt9R/793LxiilprY8jxUhboxeGbZ27Zp1Bk6KRPpnY2jMTOHkcnWma3dD6RKIK9BMxaD5OhVuG1i2wGTWzGNFiBuj4MbWhODDGgMn9c1GabytEPLyuOOsiqoq91nJlrg/fYvvWSs4NxQ8EUK0UHBja9bMnSNc4+RJoLSUTR1tvH7OlClsnzu+4e3bB8hkbLxS586OLg0hxjVNxVBbq162wJrvA7RyMSEGUXBjSwqFOo+RNVocIiPZQFieZ9NtGwfK8kFBuPzgg+DFYpbf59q1lt+XM6EuKeJKevZkSxTU1QEHDrB0DPX1xpctMEfT4IkQooOCG1tKT2ezdIKC2AwJa9D81tb4zY0fPRqyoCDwwn242zc6Cm6IKxFSMQBar1MkJVlnbRpr5LEixM1RcGNLwofyuHFsAT5r0Bx3s3MnAIBvDHj48eO179cdXL/Olp4XiVg9EuIKNAf/WzvNBMe1LNUDIR6AghtbskViQCHfzPXrqn58ZWNQIwQ5SE1lXWLuQKjDu+5yn5VsifsTvmicOsXSMWhuswbNliFCiA4KbmylstI2M3z8/FiAA7CxNxqDbPnBg4FWrYBbt9igY3dAXVLEFYWGslQMgkGD2DZraUkeK2ITe/fuBcdxuH37tqOL4tQ2bNiAYDt8UaXgxlaEGT6dOll/ho/mB71mP76Qewpwj+ZqjdlgFNwQl9P0dWpNQh4rQD1pgdjc448/Do7jwHEcpFIpOnXqhOeff95olnDiGBTcWEtxMRAVpf6ZMYNtt1Y/uybNaza9vvD3m2+qyzJkCFBSon0cz7PEfppl1vxp1w544w3j5VAqgf/7P+3zevdmixZag5A2wZoDsgmxF2OvU2te/9ln1a+/8ePZLC1iMxMnTkRBQQFycnLwxhtvYO3ataps3i6pspItCHnqlPonL8/RpWoxCm6sRalkzcPCT2Ul2z5tmvXvq18/oH9/NjW8aT/+vfcCvr7sDU4oy4kTwM8/ax938SKwaZN2mTV/bt5kOXLq6w2XIz0d+OUX7fPOnwe++so6j1NotRk7FpBKrXNNQuwlPp613HbqxG5b28MPs1bb6mr162/XLmrJsTFvb29EREQgOjoaM2bMwGOPPYatW7eq9p88eRKDBw+Gn58fhg8fjotNvuz9/vvviIuLg4+PDzp16oTly5dDLper9nMchy+++AIPPPAA/Pz80LVrV2wT8pI12rdvH+666y54e3sjMjISS5Ys0brGmDFjMH/+fCxcuBCtW7dGeHg41q9fj+rqajzxxBMIDAxE586d8ddff7Ev5vX1gEyG8xcvYvLcuQjo0QPh4eGYPXs2ysrKtK67YMECvPjii2jTpg0iIiKwbNkyrbKtXr0affv2hb+/P6KjozF37lxUVVVZoebNQ8GNtbRty1oaNH+uXbPNDB+RiI3nuXiRjbHR1K4du1+hDEIizabdVMLfI0boljsjAwgPB2pqWB4rQzTHw2RkAO++q/++LEXjbYgr8/ZmY2JOnWpZygVDBg1iEwuE16zQWuyCXdI8z2I0R/yYkuPVGF9fX8hkMtXfr7zyCt5//32cOHECEokEf//731X7du7ciZkzZ2LBggU4f/48Pv/8c2zYsAFvvvmm1jWXL1+OadOm4fTp05g8eTIee+wxlDcm/83Pz8fkyZMxZMgQnDp1CuvWrcOXX36JN5q0tH/zzTcICQnBsWPHMH/+fDz77LN4+OGHMXz4cKSnp2PChAmYNWsWaoqLAQAFvr4Y/c9/YkCvXjixcSN2/PgjioqK8MQTT+hc19/fH0ePHsU777yDFStWIEVjYLtIJMJHH32Es2fP4ptvvsHu3bvxYnMJjm3BFinLnZk5KdNdRUNDA79161a+oaFBd+eJEzwP8HxgIM9r7r/nHrb9nXf0X3TmTLb/5ZcN3/Ho0eyYtWvZ30VF7G+A5wsLLX48PM/zfGUlz0ul7FqXL5t1qtH68EBUH9rctj62bGGvl+7dzTrN3vVRW1vLnz9/nq+trVVtq6pSv3XY+6eqSl02hULB37p1i1coFHrL/re//Y2fOnWq6u+jR4/ybdu25adNm8bv2bOHB8Cnpqaq9v/55588ANVjHTlyJL9y5Uqta3777bd8ZGSk6m8A/KuvvqpRN1U8x3H8X3/9xfM8z//73//mu3fvziuVStUxn376KR8QEKAq9+jRo/kRI0ao9svlct7f35+fNWuWaltBQQEPgD/81Vc8n57OL331VT4pKYnnr1/n+ePHeT4nh7927RoPgM/KytJ7XZ7n+SFDhvAvvfSS3vrieZ7/6aef+LZt26r+/vrrr/lWrVoZPF7f80Ngzuc3tdy4u4EDWatSZSVw9Cjb1tCgTrBpqFVEXx4rTfryPYWFsfsDWt40LgzIjomhlAuEmGLsWJag9+JFtxgz4az++OMPBAQEwMfHB8OGDcOoUaPw8ccfq/b3EzLBA4iMjAQAFDe2jpw8eRIrVqxAQECA6ufpp59GQUEBampq9F7D398fgYGBqmtkZWVh2LBh4DQWhIyPj0dVVRVu3Lih9xpisRht27ZF3759VdvCw8NZ2crLgcBAnExPx549exDQowcCRo1CQO/e6NWrFwAgOztb73WFxyiUDQD27NmDxMREtGvXDoGBgaquLXsPurbSynLEaYlEbFzO5s0sUBkxgnU1VVezYETjya5FGMuTns7yWIWEaO83lO9J6KJKTgYee8zyclt7VVdC3F1wMBt4f/gwe/08+aSjS2QyPz/2fclR922OsWPHYt26dZBKpYiKioK0cTzg+fPnAUD1NwBVAKJUKlW/ly9fjgcffFDnuj4+Pqrb0iZjDDmOU12D53mtwEbYpnl/hq6ht2w8DwQFQalU4t5778Xbq1axsZM8D2WXLqiSydC1a1eTynbt2jVMnjwZc+bMwX/+8x+0adMGBw4cwJNPPqnVdWcPFNx4gqQkFtykpAArVmivmCoy0Hgn5LE6c4YNUpw+XXu/ofEwiYnA22+z++J5ywMTGm9DiPmSklhwk5zsUsENxwH+/o4uhWn8/f3RpUsXi84dNGgQLl68aPH5ANCrVy/88ssvWkHOoUOHEBgYiHbt2pl+Ic2FXoOCMGjQIPzyyy+I6dSJBQYVFeBDQ3HHxwf+Jv5zTpw4Ablcjvfffx+ixs+Wn376yfQyWRF1S3kCYcrosWNsgT9TAwdjXVOGrhEfz2ZrFRQA585ZVt4bN4CsLEq5QIi5hNejO61S7kZee+01bNy4EcuWLcO5c+eQlZWFzZs349VXXzX5GnPnzsX169cxf/58XLhwAb/99htef/11LF68WBVQmESY0SuVAj4++Oc//4ny8nI8+uijOJadjZwbN5C8fTvmzZsHhYnPpc6dO0Mul+Pjjz9GTk4Ovv32W3z22Weml8mKKLjxBNHRLNmeUsmmhAurFze3HLxm/hrNKQXG8j35+ACjR6vPs4TQJTVkCNC6tWXXIMQT3XUXWxeqvJx1KROnMmHCBPzxxx9ISUnBkCFDMHToUKxevRodO3Y0+Rrt2rXD9u3bcezYMfTv3x9z5szBk08+aVaABACoqGC/fX0BAFFRUTh48CAUCgUmzJiBPo88goX/+Q+CAgNNDpoGDBiA1atX4+2330afPn3w3XffYdWqVeaVy1qaHXLsZjxutpRgwQI2NSAqiv3u06f5C1dX87y3Nzu+cbQ8z/M8/+WXbNvQofrPW72a7Z8wwbwHInjkEXb+0qUWne62s2EsRPWhze3r4/772evnzTdNOtwZZks5i+ZmS7mVM2fYrKjyct19SiXPZ2by/PHjfGV+vl3rg2ZLEfMIzdU3b2r/bYxmHivNVpjmurWEFp/9+81fLVWppJQLhLREczMdCamvV783Bwbq7uc41gIIQKIxi8uVUHDjKUaP1l7l19TAoekbpVKpnuZt6Bq9e7MBybW1wMGD5pUzIwMoK2MvuLvvNu9cQoj6dXnokHpcBSGahC4pf3+Wk1AfIbiprbVToayLZkt5ioAAYPhwNoXby0vdItMcoRVm717gvffYtHAh+DCU74nj2BvsN9+woEhI5imoqmKpH/TN/RRWRKaUC4RYpnNntkRDbi57vU+Z4ugSua6KCvY+1DguxSnU1bGWl6ar0wPsPVXf1DOeZ+OwhOnYt26x3/quIRCCm/p6KOVy9rnhQii48SQTJrA3u1GjTF/coV8/loqhqAh44QX19nHjjAcfmsHN229r73vvPWD5cuP3S11ShFguKQn4/HPWxUvBjWVqa4FLl9j7XL9+zrHeFs8Dly+z4KZnT+0gpqGBLeDIcSz3oFis3nfnDgt2m2oMYPSSSsH7+oKrrQVXWckWg3UhFNx4kgUL2OJ95iyuJxKxIOWHH9Qzpry91TmrDBFmYmVmssRsYWHqfX/+yX4nJLBcWE2FhABN8pkQQswgBDdOPO6Gb2lSJ1u7c4f9lslYnj1nWIhHaLUBWPk0y1RRoc4qUVWl3SojPBY/P3UrlI9P848pKIgFeRUVdgturPW8oODGk/j7A02Sq5lkwgT2Y46wMGDAABbcpKaqk/qVlqqnon/7LRubQwixrnHj2BeTCxfY0g3R0Y4ukYqwwm1NTQ18nam7pylhXIpw2xmCG80y3bkDREXp31dRoQ5ueF4d3ERFsZWsTRUUxFrthcDJDq1XDQ0NAFjKiJag4IbYTlISC26Sk9XBza5d7EXSty8FNoTYipCK4cgR1jWlkZna0cRiMYKDg1X5iPz8/HTSCTiKUqlEQ0MD6mprIdIcjH3rlnOsuSWMlQFYK3xVFRsQrBnAAMDt20BoKLtdX8+6rDiOdbGZMYNVKZGA4zhwMhm7vkaKCFtQKpUoKSmBn58fJIYGOpvI4cHN2rVr8e6776KgoAC9e/fGmjVrMNKEwa4HDx7E6NGj0adPH2RmZtq+oMR8SUnAO++oFwHkOEqrQIi9JCWx4CY52amCGwCIiIgAAK2Ei86A53nU1tbCl+PAlZSw9yyhm4TnDaersU/hWCuc8F7K82yMjZ8fC16KirTLy3Fs3E1lJRtM7O1tdkJVnuehvHMH4oYGtuK1sTE6ViISidChQ4cWB7wODW42b96MhQsXYu3atYiPj8fnn3+OSZMm4fz58+jQoYPB8+7cuYPZs2cjISEBRUVFdiwxMUvTVAy9e9MaNoTYS1ISyyWXksI+mFrYzG9NHMchMjISYWFhdk+oaIxMJsP+/fsx5sQJiL/+GnjwQeD4cRZUrFvHZnE6yrFjwDPPsDGJEyYA330HPPIIsGwZ8N//Au+/z8pXWspyAq5aBTzwADBvHhsasGgRMGyYWXcpk8mQ+9//osuvv7KJKOvX2+axafDy8jIvjYQBDg1uVq9ejSeffBJPPfUUAGDNmjXYuXMn1q1bZ3TJ5meeeQYzZsyAWCzG1q1b7VRaYjYfH/aC2LmTvcFKJOxNwtvb9KnohBDLaKZiyMgABg92dIl0iMXiFo+tsCaxWAy5XA6/LVvAXbvGUsDU1AAHDgB//QVMmuS4wu3cCVy7BowYAQwdCqxcydLpvPUWsHUr2xcXx75M/vEH+/m//2PHVFSwL5tmdiuJxWKUxsSg37VrwP/+x4Iob2/bPD4rc1hw09DQgJMnT2LJkiVa25OSknDo0CGD53399dfIzs7Gpk2b8IYJg2Pr6+tRL4wuB1DROOhKJpM51TeGlhAehzM+HlFCAsQ7d0K5cyd4AGIAyhEjoJBI1GsuWJkz14cjUH1o86T6EI8eDdHvv0OxYweU/fvrPcaT6qM5MpkM3rdvgzt9mv09ejQ4sRiSzz8Hn5wMuQPrSLxzJ0QA5OPGgY+Ph0QiAZeTA1l6OiQHDoADIBs7FlxhISQrV4JPTYXiwAFIKirAt20LeZ8+Zr/nymQyVHbsCD48HFxREeT794MfM8YWD8/k8pjKYcFNaWkpFAoFwsPDtbaHh4ejsLBQ7zmXL1/GkiVLkJaWZvJgo1WrVmG5njVVkpOT4WfqWi8uIkXo8nEigd7eGAdAuWcPbhUUIBRAVvv2uLJ9u83v2xnrw5GoPrR5Qn3EREaiP4DyzZtxqG9fo8d6Qn2Yov2pUwCA2506Yd/x45DIZJgsEoG7eBF7vvkGtcJAXTuSVlRgUmMi1FSOQ31aGuK7d0fIuXMoffZZRDY0oCY0FCmXL4OTyzHZxweS4mKULFmCSAA3e/TAiZ07LbtzjsONnj0RXVSEnM8/R5YD0zHUmHHfDh9Q3HTQEM/zegcSKRQKzJgxA8uXL0e3bt1Mvv7LL7+MxRprslRUVCA6OhpJSUkIssPgKHuQyWRISUlBYmKiapql0+B58G+9BUlBAUIbvw11mzcP3Qx8i7QGp64PB6D60OZR9dGtG7B+PUIuXsTkUaPYSuVNeFR9NEMmk6H0ww8BAIEPPYTJkycDAPhPPgF35AjGKZXgG7fZE/fzz+B4Hnzv3kiYORMAIDp1Cnj9dUQeOwYA8Ln3Xky+5x62b9w4YPt21b7w2bNVj8UcwnMjbOZMYO9edM3JQawDHr+gQnO6ezMcFtyEhIRALBbrtNIUFxfrtOYAQGVlJU6cOIGMjAzMmzcPAJs2xvM8JBIJkpOTMW7cOJ3zvL294a2nj1AqlbrdC9lpH1NiIrBxI7sdFgbpoEF2mXXgtPXhIFQf2jyiPnr0AGJjweXmQnroEND44aePR9RHc3geYY2zb8UTJ0Is1EfjzDPJrl3AP/5h/3Lt3g0A4CZMUP+PJk4EXn9ddYho4kSIhH0TJgAareOSiRNblM5G1DgBhMvIgFRzmrmdmfP8dNi8Ni8vL8TFxek0haakpGD48OE6xwcFBeHMmTPIzMxU/cyZMwfdu3dHZmYm7qYki85Lc2ZUYqJjp1MS4kk4Tp0fLjmZJb5VKtXThYm2s2fhc+sWeF9fNgBXILyHpaaycStCPVryY27d87z+WaZxceq1dziOLdzYtLwA0L07YGT2sUkiIlgKCoCVxdTH6kAO/ZRZvHgxvvjiC3z11VfIysrCokWLkJeXhzlz5gBgXUqzZ89mBRWJ0KdPH62fsLAw+Pj4oE+fPvB3htUjiX5CKgaApoATYm/Ca+6jj9h0cLGYrSB+6ZL170upBCZPZh+0LjhAWbRrFwCAHz1ae1aQ5swzLy91PVry0749cPOm6YW6dImtT9N0lqlYrH5vHTxYOz1C9+7qVamt9Z4rXOexx0x/nA7k0OBm+vTpWLNmDVasWIEBAwZg//792L59Ozp27AgAKCgoQJ6Ziw4RJxQeDjz8MNCxo9FmcUKIDSQm6n5zLy0Fvv/e+vd15gybMr1nD1uXxcVwqakAAD4hQXuHVAo8/rh17uTmTeCXX0w/Xlj4dMQI3YTH//gHC3oaGwRUOA549lmWMsJa5X7sMZuvUGxNDh9QPHfuXMydO1fvvg0bNhg9d9myZVi2bJn1C0Ws76efHF0CQjxTUBCQna1env+HH4D589mHprXfPzUTdSYna3ftOLu6OnD79wMAlOPHQ2f1nQ8/BJYvZwsiWurTT9k4meRk9j8whbFV3cePN5xO4eWX2Y+1DBjAWq5MnbHk4JQaDg9uCCGE2JhEou62uO8+9sF69CjLQWTNLv2mwY2eZTic1oED4OrqUNumDSS9euk/xpykk/rcdx8LbvbsYSkTvLyMH9/QAOzdy247Q5e+r686q7iTo5GdhBDiSTp0YGMylEr2IWsttbVAWpr672PHWPDkKhoH7ZYMGGC7Vod+/dh4p+pq4PDh5o8/coQlxwwNVQ/oJSah4IYQQjyN0Aqg2dLSUmlpLAN1+/ZsCrpSqZrC7BIa66LYhmtwQSTSnr1mYplolqn5qLYIIcTT2CK40fwgtsX1bamoCGhc36bElsENoA5uTFkR2th4G2IUBTeEEOJpxoxhM4BycthgY2vQ/CB2teBGmCU1YAAaWjqupjlCcHPiBFBWZvi48nJ2jOY5xGQU3BBCiKcJCACGDQOgXtulRQoK2DRwjmMzeEaPZsFTbq71gidbamxFUWquyWUrUVFAnz5scT5jdb9rFzumd292DjELBTeEEOKJhCX1rZEws7HlA4MGASEhLHgSVpp39tYbnleVkbdHcAOY1rJFXVItQsENIYR4IiG42bMHXEvWbgG0x9s0ub7TBzfnzrGWJ19f8HpS/9iEUDcpKfrTMWgEXBTcWIaCG0II8USDBgGtW4OrqEDw5cuWX8dQ7iPh9u7dgFxu+fVtTQgiRo+23wq8I0eyNW7y8vSnwbh8me3z8gJGjbJPmdwMLeJHCCGeSMhN9PPP6PXttxDl57PpxgMGmLdk/5kzbLaRn5+6KwoABg4E2rRhA2OffJIleeQ44P/+r/mVi69vBUReQLvJ2tuVCuDC+0CtgdxMYh+g2zzAz4y8RvoCM1vz82MBzq5dwHPPsanzmi5eZL/1pVwgJqHghhBCPNWkScDPPyPk3DnWPSMYOlT3A9cQoeVjzBjtZJNiMTBhAkv3sHGjevsvvwDXrhleKK/6OnDgIQAi4MFCwFsjIWT+b0DmS8bLU1cMDP3KtLLX1QH79rHb9p6RNGkSC2527mQ/+kycaN8yuREKbgghxFPNnAlFWRmyjx5F586dId62DcjKYgGLucGNvuDg3XfZderr2d+rVwPXr7P7MJTioDAF4JUAlEDhLqDjNPW+mzvY79CRQNhI7fNqC4Gcr4CCnayrzJRVhg8eZCsrR0ayWUn27D579lm20KGhVZyDgwEDeRdJ8yi4IYQQTyWVQvncc8javh2xkydD3LYt8OKLLGBZsKD582trgcZkk3q7ddq1A157Tf33iRPs2snJhoObAo0ByIXJ6uCG59nfAND7ZSBqkvZ5ijrg2vesy+rOeSC4d/Pl1xy0a+9Ej35+wAsv2Pc+PQgNKCaEEMIIAcqePerWFmMOHGDHtWsH9OzZ/PHNpR7glUBRqvrvAo3ZRJWXgeprbCxOmJ5BtmIfIGw0u11o4gwtYbwNLZLndii4IYQQwvTtyxI71tSYltjR3JYPIXjat09/8HQrA6gvAyQBLIipyQMqG2cTFTYGIqHxgMRAJvOIxiClwITgprgYyMhgt+21vg2xGwpuCCGEMJqJHW2R+6hvXyA8nAVPhw7p7heCkogEIHSE9jbVPiP3Fdm4r3gfoGim5UlYeHDAAFYm4lYouCGEEKJm6uJ7hYXA6dPsdkKCadfmOOPX1wxghEClMAVQyoCixgzjkUaCm1Z9AJ8IQFELlBw0XhZaJM+tUXBDCCFETWi5OXkSKC01fJxmyoXQUPOv37RlSF4NlDYGJBGJ6haaoj1AcRogrwK8Q4DWAwxfm+M0giIjwZnmwoM03sYtUXBDCCFELTKSdR81l9jR0pYPYXxLejpQUqLeXrSPtdD4xwCBXYDW/QHvUBbUnF3BjolIBLhmPraEoMjYuJvz54GbN9mKxCNGmFd+4hIouCGEEKKt2VlNBlIumCIyEujXTzd4ElpaIhsHJ3MiIKIxECpuXGgvwoRWFuGcWxlsQT99HJFygdgVBTeEEEK0NZfY8exZNuamacoFc6+vGTzpGzDcdHxNpAnBjW84ENyf3S400PLkiJQLxK5oET9CCCHaRo5kqRSuX2eL9MXEaO//3//Y79GjtVMuNEdWBTSUAeP6ARsAHP8LqLoK1JcCFVmNrTXj1MdrttS06mV6zqjIJOD2KeDGb0BoY/AlbQV4BbMp6Hv3sm3ONN5G0QDUFaj/lgQC3m0cVx4XR8ENIYQQbUJix9RUljPKEHNaPqrzgD97szE0APAhABQC22LVx7QZAni11ihHO6BVb+DOOeNTwJuKTAKy3gXyNrMfAODEQOIh4HQVW1k5IgLo08f0a9qSUgZs78MWKlThgDF/AVETHFYsV0bdUoQQQnT9858sk7ePj/6fTp2AadOav47g+q8ssOFEbDVhuQhoAMBL2d/SVkC3+brn9XwBCOwGdPmH6fcVOhIIGc6uK/ZhgQ2vAK796NiUC4aUHlEHNmIfgJMA4Fk6CWIRarkhhBCi6/772Y+1CAOGB7wN9HweeO89lltpciLw55+Gz+v0N/ZjDrE3kKSxzk3ez8CBaawMKY3daM403kYYb9TxUSD+e6BwN7A7oTGJqIlJQIkWarkhhBBiW4p6oGgvuy2MoxHGu+zda1oeq5YIHweAY91bOelsmzOlXBBSSwh1ExoPiH2B2gJWZmI2Cm4IIYTYVulhQFED+IQDwX3ZNs1UDKbksWoJ77ZAm8GN9wugf3/nSblQXw6UH2e3hdlgYm91ElBT8mQRHRTcEEIIsS3VNG+NRfg081g1l+rBGoRp5X3hXF1SRbtZNvSms8FMWWmZGETBDSGEENvSXKBPk+Z6OrYmdPn0AZDoRF1ShhKCCn8X7wMUdfYtkxug4IYQQojt1JUC5Y3jXCKaBBXCuJfm8lhZQ0kroA5AKwB9W9n2vkzF8+rAr+nqy616Ab5RLLBpLgko0UHBDSGEENsp2gWAZ2NtfCO195max8oaUvcC5xtvl++z7X2ZqvIKUH0NEEmB8NHa+zhOHfDQuBuzUXBDCCHEdgx1uwj0pWKwheRk4EyTMjma0GoTOgKQ+Ovup3E3FqPghhBCiG3wvO4056aEQcWG8lhZQ309sG+fOrgpSQPkNba5L3Oo6sZA4KdKApoJ1BbZpUjugoIbQgghtlFxEai5Doi8gbCR+o/RzGN18aJtynHoEJtyrgwD/KIBZQNQnGab+zKVUsYW6wMMJwT1CQNaD2C3i2zcbedmaIVia6m+BpxbxRLAjfyfo0tDCCHmy/4KuGlktWBz1dxgv8NGAhI//cdo5rFKTgZ69NDef+oUsGEDsHw5EBRkWTlUKRcmAJFeQPaXrKvHWnmbrqwHCnYa2MmxlYc7PKS9ufQoIK9ka/C0Hmj42hFJrOWmIBmImWF6mcpPArnfAf1WANIA7X15vwBVV4CeL1q++nHT54okgN2Xf0fLrmdlFNxYCycFrnwOgAPqy9gTlhBCXEXDbeDYP1gOJmuLmmJ8f1KSOrhZsEB733PPsS6lkBDglVcsu3/NfFIRjcGNtcbd1JUCx+YAMNKlVrgLaD8VEGl85BbqWftHn8gkIOsddrw5qRhOzGeLJ/pGAL1eVG9X1AGHZwGKWpZ/y1CLmjGGniuSAGDIp+ZfzwYouLEWvyh19trCXUBHMxLKEUKIg3Ele9mHlV8HoPcS611YEgR0eNj4MZqpGBoaAC8v9ndlJetSAliAYklwU1ICZGSw2+PHA62lYKkYzgI1N9l7d0sIs8ECOrGcWU1l/huQ3QbKTwAhQ9XbC5oZiyQIjWfJNIVUDMEmZDJvuA2UHW28n2Tt4KbkAAtshH2WBDdFe7SfKxWXgItrnGegNii4sa6IpMbgJpmCG0KIS+GEMR3t7wO6PmvfO+/XDwgLA4qLWSqG0Y3TovftA2QydvvQIRbsBAaad+1du1iLR79+QEQE29YmjgUbhalAp9ktK7swKLj9/frrrXAXcP0X9sEvBDcNt4DyY+x2c8GN2IelYijYye7LlOCmaA9b9RhgwYy8Rt0tqBmAFCYD/f/T/PWaUj3mxueKrAK49DHr6qrKBQJizb+mldGAYmsSpu0V2HDUPyGE2ICoMJXdMDRzx6Z3biAVg+bKxXI5C3bMpdklJbDWFGueb36qu+q+NB5LYWPKhaCegH908/cjXNvUlhHN45T12oOnNctRfoLltjJX08csDQJChule34EouLGmsFGAyAuoyQMqLzm6NIQQYhI/ZQG46myAkwDhYxxTCH2pGITApEMH7b9NxfP6g5sIjYBDaOGwhCmzwYSWmdLDrIUDMJyOwhDhOFNTMQjX9+ug/XdtERucDLA8VryS5bYyR2U2UKXnuWJuAGZjFNxYk8SPLcYEOM0/mBBCmhOmOMVuhA4HpGZ2+1iLkIrhxAmgrAzIywMuXGCtOsuWsX3mBjcXLgD5+Wyq+YgR6u0hw9iieXXFwO0zhs9vjtYifAZmgwXEAoFd2RiVoj1NWnua6ZIStOrNVndW1AIlh4wfW5kNVOWwVY/7vtZYzsaAUWidaz0QiP4/dtvczyrhWiHDtJ8rwnT2wl2A0gaD0s1EwY21RTpX9EoIIc0JVWSyG6Z+2NpCVBTQp486FYPQgnP33cADDwBiMVsH59o1068pBEOjRgG+vurtYi8gbAy73ZL3amFQcHMtMJqtGlXZQPVVFnyEjTZ6mopmKobmutJUwcdwoN1UABwL4GoLtFuMNLvmzBlGUWjgMbcZDEiD1YOnHYyCG2tTZXLdCygaHFoUQghpllKOUMVpdtsR4200aaZiEAKTxEQgOJgFOYB5GcT1dUkJWjruRtEAFO/RvpYhkRo5ooRgKiRed/0ZY0zt9tFsFfIJYYOnhe2aKyILwyiqrwGVl00rg1LOWmY0yyMQSYCIBNPKaAcU3Fhb6/6AdyggrwLKjji6NIQQYhR36wSkqAEvba3+IHQUzeBGSKQpbNNM02CK+no2tVzzGppUX0TTAHmt+WUtPQzIq9kqwsH9jB8bPhbgxGw2UfYXbJup421U5RVSMWSw7jR9lHL1SsbC9YUWn4sfstYbsS+bXi7xZ78B0wcBlx0HZHcALwPPFSfKhUXBjbVxIvWT0AmiV0IIMYZr/GDjw8cCIrFjCzNyJFvj5vp1Nu4mKAi46y62TwhQUlMBhQljOg4fZikXwsNZ5vGmgrqzQbXKepZrylxCQBA+3vgifID2bKJbjWvumNsF6BsOBPdvvG8DqRjKjrNBy15tgNaD2DYh4BDuN2w0IPZuLIOZwyhUjzlB/3NF3+BpB6Hgxhb0Tf0jhBAnJKxvowx34HgbgZCKQTB2LCCVstt33cWCnfJyID29+WtpdmvpW9WX41o2w6dAY/yKKTS7cZpLuWBIcy0jqlWPNYIPYfB002to3i7azXJdNae5WV4BsUBAl8bB03ubv54N0SJ+tiBEr2XH2RoC3m3se/91xYDYT39/bnUeG3Uvktq+HJXZQF2h+m+/DvrXdKgtYKP7Bd4h7FuVMbwSuHUKUOhm9uXkcrRRZIErDQYkzTzFJYFAcF/dNz95Dbs+DEwTDezO+rOJNnl1Y72ZMEDRqzVb58PS3Dak5RrugCtnK9ny4QkOLkyjpCTdLimAvZYTEoBffwW++YatZGzMH3/oXqOpyCQgpzFHUvQD4ORyBCly9E8PV9SxadS8gs1aEgbNmtoCE5kEnGmcvRQ+3rJWssgkIOtdtqBfyUHd/Te2NZZJ4zGLvdngaSEPlOa+1gPY+219KZDzDdCqp9bltN5LRUqgtHGohbHHHJkEXL7Cgr/295n7CK3G4uDm0qVL2Lt3L4qLi6FUaj8RXnvttRYXzKX5tVOnYija1fzS49ZUnQf82Zs9aRObNLXmbwf23cOWCB/4rm3LUZ4O7BgMrQ85kTdw7yXAv4N6W3058EcP3SbMhN2sn9qQC6uBjBf07pIAGAkAe0ws69CvgU6Pa29Le9BIIjwAPuHA1Kts9VCitu9eNt3VVKN+c+gboMcr2gOOV6CKi4K3f4yjS8MkJQEvvaS+3XTfr78Cn37KfkwhTDHXJzwBAAdUXABSRkACYCwAxRUAvRZpH3toFnC9SVLkVn1MT9+gOZvI3PE2gtAR6lQMKSMMH9c0y3hkEgtufKOAVr3U2zkRC1Su/QAce1rnMnrfSwO7AQExRu47Cbi81uHjbiwKbv773//i2WefRUhICCIiIsBpfPPiOI6CG4A9Ye6cY9GrPYOb/N/ZYOaSAyzQ0Qwkrn3Pfl/9Dhjwjm2/MV/fAoBnL2afUPZilFexF5jmEuUFySywEfuxoLChnCUezfuf8eAm72f227edzvoSPM+juroG/v5+Ws9NHbJK1rKU9z/t4KbhlrpLMaCLbj1V5wF1RayOI4y8cXqauhJ1YBPY1fixDbeB+hJW9xTcOE7j87xYPAAmrJNrH/37A88+C/j4AJ07a++bNg348Ufg5k3TrnXvvUBkpOH9PiFAr5dYegQAvKwaXN1NcDe2aAc38lr23goAAZ1ZUMBJgD6vmv64RGJgwFtAwV+WfyaIfYC+y1hGbkOto5ETdTNzx8xUfxY1fT/r/hxQkcVaXZvQeS/lJEDvfxsvY9gYNsYooLN22gc7syi4eeONN/Dmm2/iJSG6Jroik1giscIU8zK5tpTWEt8pQOcn2W1eqV7AqbYAuHMeCO5t+3LErQE6/Q04txI49QpbF0IzuBGO6zaXtSbd2Absn2p8vFJ9ubpJeMJRFhRpkMtk2LV9OyZPmgyp1Ej3261TwF8D1NP2xY3J+oS8LEE9gSnndc878gSQs4E9Fgpu1IRBjsH9gcmZxo8t2gPsGmf/1wfR1jhupMSZghuOA9au1b+vTRv1DChrGbCK/QCQ374E6fbu4MqOsC8/wiJ1JQfYwGO/9sC9ly1/vnZ9hv20RK+X2I85vNsAY/7Qvy/kbmBSht5dJr+XavJqBTxUap+hD0ZYNKD41q1bePhhO7ZGuCJL1hBoKaWM5SwRaA6Su32GtTYIbNlkWF/OxhsB6g9/oY+2aBebrgiwDzXVALjG/eFj2JTJysssAZs+RY15WVr10glszBLcl03jlFez0f2C5lYPNXUxLU+jGmxowhiEkOGsta6ukGVnJvZXlQNUXQHPSVAqNiEZoyfwj0UVFwGOl2sPiNV8n6JAvHkODmwAC4Obhx9+GMnmLoPtaTTXELDTlHCu/Bggr1RPSyxMVS+DLZRB2GfLMhXtAsCzcUdC8NF6EJueKKsAyhqz4VZcAGpusLE4oY0zJExJwNZcojpTCf3NgPrNi+fVY20M9Yur1pvIZLlaiGkJBDWJvdWrs9KSCY7RuLou33Yo5Jxjug6cUYl4ALuh+eXFWu85xG4sCm66dOmCpUuX4vHHH8f777+Pjz76SOuHNNJMzmYHnCoN/YMsSGgoB26la5eh09/Zb1MTsFlC3xuBSKy7/o/wO2wUINFYGt3Y9EzN1h5LB+VpanpfpiyN7hOmnsYpdPV5uoosoDafjQkINTLQUROlKnEs1fo2TjJLykkUq4KbxvfM2gLg9mkAHHVDuxCLgpv169cjICAA+/btwyeffIIPPvhA9bNmzRqzrrV27VrExsbCx8cHcXFxSEszvJjSgQMHEB8fj7Zt28LX1xc9evTABx98YMlDsA9z1xBoIa6o8YM2anLjLACwDw55LVC8n/3dY5HpCdgsofkNvmnw0XSNBkNBirEEbJVXWFefyIsFRS0l3Ff5STaQ2dSl0VUtPrSWEQB1vYU2CVSNEeqwZL/tAm2in8Yy+rwzrG/jRErFfcFzYpbxu/qadrJJWv7BZVgU3OTm5hr8ycnJaf4CjTZv3oyFCxfilVdeQUZGBkaOHIlJkyYhLy9P7/H+/v6YN28e9u/fj6ysLLz66qt49dVXsX79eksehu0JawjIq9TrA9iIlK8CJwyyjUzUXkiwJE09GC6op23HjFReBmry9AcfqvV/jrG1eIQ+7aZNvcYSsKmy8MZrL0xlKd9INvYGPHuzN5QUrilLk865K1W9mfFB2aoXm5qqqGMDNon9lJ9gry9pMHhHp1xwMnLOH3ybxlWRC1JMT45JnEqLVyjmeR68hW/uq1evxpNPPomnnnoKPXv2xJo1axAdHY1169bpPX7gwIF49NFH0bt3b8TExGDmzJmYMGGC0dYeh7JjKoYQxWlwaJzh49deYxnsQ43TsqEeDNeSVTmbo/oGP0J3CqB/B7Y4H68Azr7JFuDzCW8MLjQYS8Bmi75voa5u/sla2TS3GRIaz3K01BawKf+eTFFvOFA1huOoa8pRVK+j8WwAP9HChze+bxcmW7cbnNiNxYv4bdy4Ee+++y4uX2Yzgbp164YXXngBs2bNMun8hoYGnDx5EkuWLNHanpSUhEOHTOsuycjIwKFDh/DGG28YPKa+vh719fWqvysq2GJxMpkMMpkduopCEyC59iOUBclQ9LLN+j8ymQxhikwAgCJ8PJQyGeDTARL/TuCqc8BnfwUOgDx0HHiZDAgZDSkA3MqArOomS/RpJeKbOyACoAhLYOVoQhQ2HuKKi+AvrwMHQBmWAIVcrntc6DiIr//C6q1H43NEKYOkaA84ALLQsYCB/5/wfzX1/8uFjoPkwmrwV38Ax8vAe7WFPLCPwes3PlKIQ0ZCVJQMRf4OKP2bWVHZgcytD3NxxfshUdSA9w6H3L9HM/XW5NzQsZDkbABfkAx5nzdtUr6mbF0frkBckAwRAHnYOKoPDaq6aDsGYvwH/PWt7D1B7Ad5qyFmPbfdgbM9N8wph0XBzerVq7F06VLMmzcP8fHx4HkeBw8exJw5c1BaWopFixY1e43S0lIoFAqEh4drbQ8PD0dhYaGBs5j27dujpKQEcrkcy5Ytw1NPPWXw2FWrVmH58uU625OTk+HnZ/sZAj5KDhMAcOUnkPLnZsi4QOvfCc8jUcHWKTiW1wrFN7cDAPrVd0MsctiLExxSzvBoOMv2jRHFoJXyKk7tfB/5EiuMXQHA8TJMrtkFEYC0y764k7Nd55hweTCGNh4LABmFobixXfc4P6UEiQBQehjJf/4Pcs4PbRTnMVJeiXoEYsehmwBn/HmSYmL2YDFfj0mQQtxYpnxFT5z8y8jqxI06y9qhD4DSsz/gyJVmFq1zAqbWh7l6NnyLbgBuKHoi/a+/zDrXi+cxCQB3+xR2/fk96rlgWxRRL1vVh7OT8DWYVMOWPthzXoyaC6wePLU+9Ek+eRuT4Acpz9K7FKMHjuw0kKzSAzjLc6OmRjfdjiEcb0GfUmxsLJYvX47Zs2drbf/mm2+wbNky5OYaWJ9Ew82bN9GuXTscOnQIw4YNU21/88038e233+LChQsGz83NzUVVVRWOHDmCJUuW4JNPPsGjjz6q91h9LTfR0dEoLS1FUFBQs+W0BsnO/uAqsiAf9gP49g9Z/fryW1nwTe0PnpNCfn+xaiwKl78VkkPTAADK1oOgGK8e9yM6vQTii6uhjJkNxZAvrFIOriQNkr0J4L1DIb/3uv5MufIqSLaGq4Ib2ZRrbNyLHpK/eoGrugJ5/C/go+6F6OwyiLNWQhk9DYqhmwyWQyaTISUlBYmJiSYvPCXeNwmiYvbmJR+8Hnzs482fdOcspMmDwIt9IZ9a5LSpGCypD3OIU4dCdCsd8ru+Bt/xMbPPl6TcBe52JuR3bQDfcYbVy9eUrevD2XH52yA59H/gA7pAPum8x9eHJs268Dk+A6L83wAAiv7vQdltgYNLZ3/O9tyoqKhASEgI7ty50+znt0UtNwUFBRg+fLjO9uHDh6OgoMCka4SEhEAsFuu00hQXF+u05jQVGxsLAOjbty+KioqwbNkyg8GNt7c3vL29dbZLpVL7/bMik4CKLEgy/wVcMnN2l3cYMGwDyyKr6ewbquXAJfXlAAA+ZDikvsHqY6ISWYDBKyGKTIJI8/FGTQQurobo+v8gqmwMJKVBwJDPgMAmS55fWW98uW9B4yKBXMR4SL1065zdR2sgdBibvRXcF9KgDvqPA9jg1MtXIMl4DrjwtmoxRFHUBO3HYoBZ/+OoJKAxuJG0m6jORGxM2wGAbyS42gJIdzeOwTFH5ESgn26roq3Y5DlfVwLcYq2GJtdbU5FJwO1MSM68DGQ3rkwb2A24+0v1qtE2YNf3AEdSKoDjz7CFPAGglqUu4CKTtB6/x9SHCaRSKURRE4DG4EbcbiLEHlw3zvLcMKcMFgU3Xbp0wU8//YR//1s7x8TmzZvRtatpzfNeXl6Ii4tDSkoKHnjgAdX2lJQUTJ061eSy8Dyv1TLjlNo/AFz8kL2p1JqYE0VT7rdAj4Xqv+uKgdNLVX8K62Xy7ZrUm1cwEDEBKNwJRD+ovS90BAuY6svUi+oBwKVPgDiNAEwpYwkqmya2NCb6AeP7O0xjwU2HacaPa/8AcHkdW+iv5gbbJvJmQYG1tZ/K6rT1IP2Zy/XhOKD9/ayMwgeHOcqOAV2eMT3xnjMqbFywMbgf4Bth2TWiHwCy3mGDs2sbvxyVHQM6PgK0u8dqRfVYJQeA7C91tzf3OvV0UfewVbQDYrSTTRKXYFFws3z5ckyfPh379+9HfHw8OI7DgQMHsGvXLvz0008mX2fx4sWYNWsWBg8ejGHDhmH9+vXIy8vDnDlzAAAvv/wy8vPzsXHjRgDAp59+ig4dOqBHjx4A2Lo37733HubPn2/Jw7Cf8NHAhONsqXlz3NzOPjgLkrWDG2HdhaAewMB3IZfLceTkWdzd5VnozHuI/4Hdb1CTAa8SX2BieuPiVADKTgBnl+tODy87xgIbrzbAsG+aL7NXa7a0vjFd57JViIP7Gz8uMhFIOgrUF6u3BXa1TTAQ1B245xx7nOYY+D4LcJQN5p2X+TJLO1CYwnJvuSprzCQJGQpMPKkO/LO/AG78xp73FNy0XKHGDMPuje+V3mFAyF2OK5Mr8O8A3HMWkARQygUXZFFw89BDD+Ho0aP44IMPsHXrVvA8j169euHYsWMYOHCgydeZPn06ysrKsGLFChQUFKBPnz7Yvn07OnZkGU0LCgq01rxRKpV4+eWXkZubC4lEgs6dO+Ott97CM8+0MBGZPbQdbP45fh1YcFO8j023FTd29QhrirS7F2g3BbxMhrJMTv+UTq9W7Ecf/w7qrOEhw4GzK1hCzZp8ddoEYY2HiPFAuynmPwZ9OA5oM8i0Y+35BhzYxfxzJL6WfbCXHnb94Ibn1c/Flk7NbzMIQONzQlHPghtaINE6hNdwzAzrvYY9RUCso0tALGTxVPC4uDhs2mR4UKep5s6di7lz5+rdt2HDBq2/58+f7/ytNNYU3JetA1NXxNarCR9rfAXglvBuA7QdwlpqClOATo+z7bTGg21EJLFM6YUpLAmovsHXzk4rN5iJKRdMETGO1UdFFlB93fRuQqKrvky9EGZzazcR4kZMfkcV1ocRbhv7IVaiteBe47evO+dZ8705OXxM1fS+Gm4DZUcb99Ebo1WFDGOz2uqK1V2DrsZQbrCW8moNCCvEUutNywhjolr1ce2xXYSYyeTgpnXr1iguZmMfgoOD0bp1a50fYTuxIlWepSb5mMJGW3/qseq+GlsTinaz30Hd1d1XxDrEXkDYGHa7wEU/wG3Zqqf5XCSWU3Ub0pcT4llM7pbavXs32rRhgy337NljswKRJoT0DeXpQF2pxhgYG3ygtB3KBs/VlwC3Ttn2vggLCm7+yYKEXi84ujTmsTTlgqkikoCz/3HtbjtHs1UXNiEuwOTgZvTo0arbsbGxiI6OBtdkBDnP87h+/br1SkcaEzv2Y10XN7cDxXvZdnMSFJpK7MXG9eT/zj5UaLyNbQlBQXEay9xuza4dWys9bDg3mDWE3A1IAtmYkVsZACV3NF/lJcNJbAlxcxZ9HYqNjUVJSYnO9vLyctUCe8SKhODi3BuAohbwiWB96LYgfOBmfwFU5QAiqbr7hFhXUHfAL5plbC9x0uSvhqgSLybaZpqsSMoGFgOu223naKoktiN1k9gS4uYsCm54ntdptQGAqqoq+Pg45xL0Lk3oL29coReRSbZbdyGyyX2FDAOkAba5L0/Hcer/ratlxbZHq15Ek/FmxDzCeBtbtPIS4uTMmgq+ePFiAADHcVi6dKlW4kmFQoGjR49iwIABVi0gAfvmJfJm3/AB246BCezG1tepybP9fREWHOR85Vof4HWlbAwYoB4TZgvCc6/kACCvVuVMIyZQNABFjWMj6TVMPJBZwU1GBsshw/M8zpw5Ay8vdd4XLy8v9O/fH88//7x1S0jYWIywURozH2z4gcJx7AM3uzGZJo23sa3wBAAcS9+Qs8H8/FSGcBLWreNlxuzFumK2YCSvNH5ceTrUKRf0Jz21isAugH8MUH0VOP8u0Kqn8eM5MRA+jq3ZZMytDETJD4C7XgWIJaybN3y08XNMpVSw16nsjnpbcH+gVQ+jpxVWFaKkugR9w80cv1R2AgjoBHi3Qd6dPBy+zrJ9oyILuFUFSAOBmxeAm5cMX4MH5HK5zuZaWS1SclJQK6vVe1pUYBRGdhxpXnnt6GLpRfhKfdGhFc309ERmBTfCLKnHH38cH3/8MQIDA21SKKJHRCJ70wzuD/gaTyxqlfvK/oJ9MLY2cSVhYhmfELY6b/lJ4MgT1r129EPAyP+ZfvyBaSy4MZWtpxcL3XbZ/2WpQUzR7l5g9DbD+6tyINk1HEN4BXBEY/u4VCAioUXFBQDkfgMcfVJ7myQQeCCfBRoGTP5uMs4Un0HmM5noHdbbtPsq2gvsGgtETQY/+g+M2TAGubdzmxxUCVxvPtP6sFbDMA3aud5W7FuBtw6+ZfS8/Y/vd8oAp7CqEHHr4xDsE4yrC69CIrJ4vVriosz+j8vlcmzatAnPP/88+vSx0aBWoqvrM2xF2NiZtr+v9vcD3eYDYSMBkZ6UDsS6BrzFWiZ4mXWup2wASg4CN/9iU7ZNGVpXX86SmQJsAHlzY7qkQeo8RbbU83mWG01eZfw4pZwNyi5INj7zLH87OF6BOrSCV+hAiGquspahG9usE9zcYFmkEdSDtWqVn2S52Yr2Au3v1XtK7q1cZBSyVvHfL/1uenBzfQv7XZCMMzePIPd2LrzEXoiPjmerEssq1eUwoEHRgIPXDyK9Mh318nqtrMu/XWSPZVDkILTy1k7hkn0rG3l38rDt4janDG52XtmJalk1qmXVOJZ/DMOjm8l3R9yO2cGNRCJBx44doVAobFEeYog0CBiqJ7OvLYi9gMEf2ee+COtmtGZXI68Efo1qTNtxGGgT3/w5RbvBVrLtBYx3onWsgroZb4kR8DzwWweWDqIkzXB3amPXbo70PnQd8yVEBduAA/9nncUClTL1OJfhm9j09WNzgCufs+sbCG5SclK0bi8ZscS0+xPKzMuRcvq/AICE2ARs/79NwC8hbN/9qeo8cfqKzCsR9X4UiqqLcCT/CMZ3Yc/DGxU3kFWaBREnQsqsFLTx1e7q++HMD5ixZYZW2Z2JVp1mp1Bw44Esmi316quv4uWXX0Z5ebm1y0MIaSlOZP4sLNXUbhcdY6WVqsTAY1bKGoM4oFg8gG1rmseqJUqPAvJKwLst0LoxgbAQZBkZMJ6crd53IO8Aqhuqm7+v6jzWkitcIycVAJDUOQkoElIu9DYa2ACAiBMhIZa1WKXkagcEADAkaohOYAMA4zuxIOhU0SkUVhU2X147UvJKreAmOceFBusTq7EouPnoo4+QlpaGqKgodO/eHYMGDdL6IYQ4mAkfqio87x4LNjb3mEuPAPIq8F4huCNqXI/LmnmsCjXX/ml8aw0XgqeLLCBpQq6UY1fuLlYUsRcaFA3Yf22/CffVWFaRF+qUwP6yGwAagxszVxYfH8sCldTGAAlQBwRJnfVfI9Q/FIMiB+mc5wxOF51GcXUxvMRswsvRG0dxp+5OM2cRd2PRKKv777/fysUghFiVZtqO+lLjx1ZeAaqvuf5Ktpozz2oLdMeaNLbo8OEJQLnG97rIRKDsCAsYOv/d8vtXBRUaA629goG2d7PuwcIUoLP2YOMTN0/gdt1tBPsE48EeD+KrzK+QnJ2MSV0nmXZfXZ/FgYyPUccrERUQjp5tewCHhEDVtAHfQstNRmEGSqpL0NavrarlxlBwAwCJnRKRXpCOlJwUzOxnh7GAJhJawpI6J+Fy2WVcLLuIPVf34P4e9zu2YMSuLApuXn/9dWuXgxBiTb6RLC3C7TPgincDMLIQo9DiEBrv2mvJ+ISwcS7lJ9iHf6fZ2vsbH6cyIhHQ7FG3Rh6rhltA+bHG6zUJKiKSWHBTkKwT3AgfxOM7jcekrpNYcNNcN4ow3RwAOjyM5PSfAdxEUlhncFXmB6qRAZGI8YnB1bqr2JW7C13bdEVZbRkCvQJxd7u7DZ6X1DkJbx98G8nZyQYXdnUEVXDTKQkxrWJwsewikrOTKbjxMC3KRnfy5Els2rQJ3333nWoNHEKIk2jslhAVNtNt4OrjbTRFGMgmXl/Ogh40ttxoaprHyhKFu1lgFNQT8I/W3qfKcJ7KAhMNwtiQxE6JGBc7Dhw4nC85j/yKfMP3dSsDaChnZW57F5Kr2TWTfBUaKRdGmBWo9g/sz8qTnaIq09jYsZCKpQbPiY+Oh6/EF4VVhThbfNbk+7KlGlkNDuQdAAAkdk5UtTxpjmsinsGi4Ka4uBjjxo3DkCFDsGDBAsybNw9xcXFISEjQm3OKEOIAjR/0XFEqG1ejj+YMH3dYpl817iZFezHCosbgo1UvwLfJIFuRlCWMBSxPg6E53qaptnex2Y4N5cCtdNXmivoK1aJ7iZ0S0ca3DYa0GwIAxmchqe5rHIpqynHqThEAIEF+ASjYYbgcRgwIHACAjbXZmb0TAGv5MMZb4o0xMWPYeU4SPKRdS0O9oh7RQdHo3rY7xsSMgUQkQfatbOTcynF08YgdWRTczJ8/HxUVFTh37hzKy8tx69YtnD17FhUVFViwYIG1y0gIsUQYS9vB1d5AAG+gJUDfDB9XFjKMtVjUFbGxN4LmWqc0gyJz8bz6+voGZIukbGBxk+vvyd0DBa9A1zZdEduaDXAWAgqjwYLGgGFhMO9AHxHClHeAm9sNl8OIXgG94C32xo2KG9h3lS3kaGy8jSCxEwuinGVKuOZ4G47jEOgdiGHthwFQzwAjnsGi4GbHjh1Yt24devZUL4feq1cvfPrpp/jrr7+sVjhCSAtI/FiAAyBMkan/GH0zfFyZ2FudxV4IOEyZDdY0j5U5qrLZQoAiKRBmII1DpO40dc0PYoFwOyUnBUp9aTBkVUDpQdU1VbOawjo3HsAD3iFA6wFmPQRvkTdGdhjZeAUeMcEx6NKmS7PnCeXdd20f6uR1Zt2nLeib5aXqmqIp4R7FonczpVKptZKlQCqVQqlsJi8NIcR+Gj+0Qw0FN+403kbQdEp45eXmB9kKeayUMqDIjBQUgLoOQ+IBqYGB20L9lh5iAQr0fxAPbT8UAV4BKK0pRWZhpu51ivexMvrHgvfvpJ7V1GWyxn1ZFqgKU8IB1oJkygDhXqG9EBUYhTp5nWqsi6PcrLyJs8VnwYFTzQAD1PW7K2cX5ErdHFrE+gzlI7Mni2ZLjRs3Ds899xx++OEHREVFAQDy8/OxaNEiJCRYYQlzQggA4F87/4Ufzv5g0rFh/mH4Y8YfaB/UXr0xMhHIBMIV6cDvHYGmn1e1BerjTPTX5b/w+t7X8c3936BnaDPJLB1BGG9StJut1KxobFEQZoPJ9KS50MxjdfARw0GKPg2Na6g0qUOe5zFjywxVNw/qxCzFxjutwAMolCsh5kSqcSsAIBVLMTZmLH6/9DsSNibAV+LLxuoohTLzAA9AUgTlZbaysK/EF/F9/gFc/1D78ZtJMyBI7GzaNTiOQ1LnJGzI3IDk7GTV4n7myizMxCP/ewQV9RUWnQ8A9Yp6AEBcVBza+rVVbY+LjENrn9a4VXcL7Va3g5jTTSnTN7wvtj2yDaKWzbFp1tsH3sbHxz5Wtcp5ib3wbuK7eLj3wxZd70zRGfx929+xctxKk/9n5lifvh6vn3sdXlfYmkESkQSvjX4NTw16yuA5t2pvIfL9SAxpNwQ7Z+6En9TP6uUyhUXBzSeffIKpU6ciJiYG0dHR4DgOeXl56Nu3LzZt2mTtMhLikcpry7Hm6Br93RN6FFQV4LvT3+GlES+pNwb3Ax/YHVzlRaCuQP+JIcMBv/b69+mx8sBKHL95HB8f+xhr71lr8nl2E9SDZSy/fVodvAFAh+nGz+s4nQU38kr2Yw5OArR/UGvT2eKz+PHsj3oOVv8/J/uLENTkzX967+n4/dLvuF13G7dxW//9KWqA+hoAwP097od3614seLuTBURN1n9OM/qF9cOAiAEoqioyK0hJ7JSIDZkbWjTu5vMTn+Ni2UWLz9c0vbf2/1ksEuPhXg9jffp6FFcX6z2noKoA+67tw9gOY61SBn3kSjlWHlipE8C9d/g9i4ObNUfW4MTNE3jr4FtWD254nsc7h95BmawM0Pg+8NaBt4wGN3uu7kG9oh6lNaUOC2wAC4Ob6OhopKenIyUlBRcuXADP8+jVqxfGj7difhxCPNzu3N1Q8kp0b9sdP/6fvg9JtV/O/4I30t5Ack6ydnDDiSAffxQH/voKI0aOgFSiZ2pvUA+Ty6Q5w8dZZsjo4Dgg6QhQqfFhKfZnXU/GRCQAU6+xlhJz+UQAvhFam4T6GRMzBh9M+IDN1qrKBXg5wPMQHX8GPbkKoOwYEKrOffRYv8cwtP1QVDZUApc/Y7mpQkcA3eaxA6RBqgUKxZxY3Xo2NoW1DEmDzC8/WCvMwb8fhEKpQKC34QzmTQmBUGZhJoqqihAeEG72fQtddGsnr8Ww6GFmny/wlfiiW9tuOtvX3rMW8++er7dbamXaSvx8/mckZyfbNLg5ln8MFfUVaOPbBqmzUnGn/g7GfjMWx/OPo7y2XG+aC2N4nlfVm5C2w9/LeutUXSq7hLyKPEg4Cfb/bT/EEjHiv4pH9q1sZJdno3ObznrP01xnyJFalAc+MTERiYluMH2UECckvElM6jIJAyIGGD3WT+qHN9Le0P8mJ/FDhbgTEDwA0DNWzhzCDB8Azb7JOZTE1+xBtQAA/w7sxwqED56p3adq/P800tOU/Ark/cTG7GgENwDUdXr6DOANoMffgC7NtDxJfAEYyIZuIku+aYf5h2FgxEBkFGYgNScVj/V7zKzzs8vZNG2pSIpZ/WchwMuMLkETiUVi9Anro3ffQz0fUgU3q8ausvp9CzQXbBwYyWYm9g7tjXMl57ArZ5fZrTcXSi/gRgVLuyGk7Wh2ZWsLytvLvxcGRw2GVCrF8Ojh2H9tP1JyUvS+7nmeVy8lYMJsO1uyuINx165dmDJlCjp37owuXbpgypQpSE11rhwjhLgqnuf1zqYxpGubrujYqqPpuYks1LS1xlmmADubOnmd6v9g8P/XXC6shttA2dHGY537S6QwJdySGUnCc2p49HCbBDbNSeiUAA4czhSfQUGVga5bK9DXotGSRQabnmPtllThfymsgQQ0v1RB9q1sXL19FVKRFKNjDMwctBOLgptPPvkEEydORGBgIJ577jksWLAAQUFBmDx5Mj755BNrl5EQj3O5/DKu3bkGL7EXRnVsfhl9juPssuaI8IZ3VzuWbNJpu6Yc7EDeAdTJ6xAVGIWeIQYGXQsDf8uOskCmqaI9AK8AgroD/h1tVlZrUE1hz04Bb2jBSAM0V2l2hBC/EFUSUCGJqbXdrruNo/ksUNUcG6P5mrW03oTXojVf9w2KBuzJZYt7agY3Qtl35+7W28UnzN5zVKCqyaLgZtWqVfjggw/www8/YMGCBViwYAG+//57fPDBB1i5cqW1y0iIxxHeJOKj403uR7f1UvO5t3JxpfwKJCIJVo5jr/NduTS9Vp+mi8np5d+BBS68ks3sako1Td+5W20AIL4DS8VQUFWAcyXnTD5PMyu6I7sxhPtOzbVN74Pm+LkOrdTdnqM6joKX2AvX7lzD5fLLJl+vXl6PPVdZ8PFWwlvgwOFcyTnjaTvMcPj6YVTLqhHqF4oY3xjVdmHm2Z36Ozief1znvOayyduTRcFNRUUFJk6cqLM9KSkJFRWWT+UjhDCWvEkIzevWfJPTJHwzHNp+KMbEjEFrn9aoqK/Q+ybn6UweVCmsf1Og51u3sJqxC6xB5CPxUXVDmBNcaw6yFVpPHEG1Fk7uLpNnJ5rDUJZ1fy9/jOgwAoB59Xb4xmHUyGoQ7h+O0TGjMThqMLsfK7XeCNdJiE2ASGPNJLFIrBpA3rS8MoUMu3NZkO6ywc19992HX3/9VWf7b7/9hnvvvbfFhSLEk1n6JtHGt43V3+Q0aX5gG3uT83RFVUU4VXQKAAs4jTI07qYym618zEmA8DHWL6QNWNItqjnIVizSXX/GXoa1HwY/qR+Kqotwre6a1a9v7MuKarySGa8j4djEzokQcSKrt9qq/i+xujOgDY2v0gxUB0Y4PpWLRcFNz5498eabb+Kee+7BG2+8gTfeeANTpkzBm2++id69e+Ojjz5S/RBCzHPkxhFUNVQhxC+k2VlSTWku329N+roPaFl7/VT5niIGIsw/zPjBYWNY2oaqHBbQCIRWm9DhgNT0admOpErFcNX0VAyOHm8j0EwCeqrylFWvrTkbTHPBRoFQb3uu7oFMoWeBST2a1puqWy0ntcUtT2U1ZThx8wQAA8FN47ibozeO4k7dHZ0yOTpQFVgU3Hz55Zdo3bo1zp8/jy+//BJffvklzp07h+DgYHz55Zf44IMP8MEHH2DNmjVWLi4h7k/zTUJk5jL6mgM7rdm8fuLmCdyuu41gn2BV65Dwxnr0xlHcrrtttftydWZ1KUoD2CKKgHbrjQumxegd2huRAZGoldfiYN7BZo+/XXcbR280DrJ1cHADqLsQMyozrHrd5maDDYgYgBC/EFQ1VOHIjSPNXq+0phQnb54EoK43IW1HSU0JThW2LDjblbsLPHj0CeuDqMAonf0xwTHo1rYbFLxCNe4HcJ71bQQWBTe5ubkm/eTkUIp5QszVkjcJa77J6SuT5reyjsEd0b1td/Yml7vH2Okeg+d5g+MrDBIGDAsBjVIOFO3S3ucChFQMgGndI8KaSd3bdkfHYMfPBhPKfr7qvFVzIwnBrqEATsSJzOqa2pXDgo++YX0RGcgWc/QSe2FszFiTr2G0vNnGywvoTgk3NBvMkVq0iB8A1fQ1U5KsEdfxv/P/w9XbV/Xu8xZ745E+jyDUP9Tk650uOq31ovOV+GJG3xlo7du6pUV1K+W15Th+kw3QteRNwkvshTExY/DHpT/wRtobGNZ+GBQKBS4UX8CFIxcgFus2F0/oPAF9w/tqbZMpZNh4aiNu1d0CAFUagaZveImdEnGx7CI+PvYxsm9lw95C/EIwq98snWbwkzdPan2r1NRcfbTE7brbKKgqYPmeouNNOykyCTj9KpsxlfUeUFcEyCoAr9ZAmzirls/WEjsl4ptT3+B/Wf9TvT8EeQdhdv/Z8JH4aB3rLF1Sgh4hPdAusB3yK/Px7z3/RkzrGKPHS0QSPNzrYbQLaqe1vaymDD+c/UHVNWfK+LnETon44ewP+On8T2jl08ro/f5+6XfVOU2v8ful37HpzKYWdQv9efnP5svbORGfHP8E2y5uQ6fWnXCl/Ire2WCOZHFws3HjRrz77ru4fJlNX+vWrRteeOEFzJo1y2qFI45xIO8AHv7Z+GqZ6YXp+Hrq1yZdT8krcc/396hW0xRcLLuIjybRuCxNwpTRXqG9tBNgmmFC5wn449If2JK1BVuytqh33NR//IdHP0TewjytLyhfZXyFOX/O0Tm26RvqhC4T8MnxT7Dn6h6DwYStSUVSrVVxZQoZJmyagLLaMuMnGqgPaxgdMxreEm/TDm49CPBuC9SXARkvqLdHjAecYOyCOcZ3Gg8OHHJu5eCFFPVjqaivwPPDn9c61pxFKu1BWCtqw6kN+PTEpyadsyt3F35/9Hetba/sfgWfn/xca1tb37ZGZ4MJX2QulV3Sqjdjmtab8PfZ4rMmX8MQb7G30fW1xsSMgVQkRX5lvtZ9Ocv/ErAwuFm9ejWWLl2KefPmIT4+HjzP4+DBg5gzZw5KS0uxaNEia5eT2NGfl1jk3iu0l2p8heB23W1su7gNf13+C0peadKYkDNFZ3Cj4gZ8Jb54uPfDKKkuwV9X/sL2y9spuGnClCbh5jwx4Ank3spFaW0pAECpVCL/Rj7atW8HkUj7//XzuZ9xo+IGzhSfQb/wfqrtwre34dHD0aUNy8k0rP0wxLaO1Tp/UpdJeG3Ua7h656rF5bVUVkkWjt88ju1XtmsFN8fyj6GstgyBXoF4oOcDOucZqw9r8BJ54bmhz5l+gkgMDN3IUjGgcSE3sQ/Q419WL5uthQeE46upX6kC3au3r2L/tf3Yfnm7VnCTXZ6N7FvZkIgkegfZOsq/4/+NwhuFCIkKMfrcqJPX4adzP2FXzi7UyetUrVI8z6teO1O6TUEb3zbgwGFa72lGW1PaB7XHf+/9L9Ly0kwqZ6fgTjotu91DuuPjSR+rWn5bYkrXKfCT+kEm0z/AOcg7CBsf2Ii/rvyl2hYgDcCSEUtafN9Ww1sgJiaG/+abb3S2b9iwgY+JibHkknZz584dHgB/584dRxfFahoaGvitW7fyDQ0NVrneoM8H8VgG/ttT3+rsq5PV8f5v+vNYBj6zINOk671z4B0ey8Df8909PM/zfEVdBS9ZIeGxDPyVsitWKbMma9eHvSiVSr7jBx15LAP/56U/rXZdY/Ux+bvJPJaBf/fgu6pt9fJ6PmBlAI9l4NNvplutHNa27+o+HsvAh74TyiuUCtX213a/xmMZ+Ok/T9d7nqs+P2zFlvVxqfQSj2XgpSukfFV9lWr7uuPreCwDP+rrUVa/z5YwtS6USiUf+V4kj2XgU7NTVdvPF5/nsQy893+8+ZqGGlsX1+ac7bVizue3RV9bCgoKMHz4cJ3tw4cPR0GB7XJzENsrqS5BekE6AHW2X02aUyZNHbjWdPZIoHcghkez5w/lJlK7Un4F1+5cY3lZOtonL4u+XDHCVPRQv1D0j+hvl3JYwtDgaWdaJdXTdWnTBTHBMZApZdh3bZ9qu7ONtzGXocHTwu1RHUfBV9qyJKakZSwKbrp06YKffvpJZ/vmzZvRtWvXFheKOI6wlkm/8H6ICIjQe4w5i3XVymqRdo01tWp+2DSXgM0TCXUxosMIk1MutJTQtJ2Wl6aaIaI5M8rcqej2JAyeBtTPxVu1t3As/xgA1/3gdCeaOc+E55VcKceuHMenXGgpfe+DFFg7D4veuZYvX47XXnsNEydOxH/+8x+88cYbmDhxIpYvX44VK1ZYu4zEjkyZhiy8cPdf29/slMm0vDTUK+oRHRSN7m2761zDUAI2T+SIN8aeIT3RLrAd6uR1OJB3AID6zdoV3qCbBsl7ru6BkleiZ0hPRLeKdmTRSKOmC0sezz+OO/V30NqnNeIiXWs2mCahZTujMAPF1cWol9dj79W9AFzjtePuLApuHnroIRw7dgwhISHYunUrtmzZgpCQEBw7dgwPPKA7gI+4Bp7nTZrB0COkB9oHtUe9or7ZAXCaA2Q1Z+MMihxkNAGbp5EpZKq1YuzZ4tC0eb28tlz1/3CFlg+h7Gl5aaiR1VhlQDaxrnGx4yDiRDhfch43Km443Uq2lgoPCFetIJ6ak6qV76lvWF/jJxObMzu4kclkeOKJJxAcHIxNmzbh5MmTSE9Px6ZNmzBwoOPzSRDLXSi9gPzKfPhIfFTJ3PThOE71jVlYsMwQQ8ES5SbSdjT/KCobKtHWty0GRtr3daT5zVpYIKx3aG+d9TucUbe23dChVQc0KBqw/9p+7MzeCYC+OTuTNr5tMCRqCAD2fuFOAajqfTAnRSvfE6375nhmBzdSqVRv0kzi+oQX58gOI5sdDCeM1TCWV6igsgBnis+AA6c3gSDlJlJrmgjPnhJi2f/mVNEpbDy9kZXDRT54NMd0rDuxDldvX2UDsmPsMyCbmEb4H/18/mdVigFnWcm2JVTvg9nJ6sDaSdIPeDqL3kUfeOABbN261cpFIY5mzpgPYbGu00WnUVCpf4ac0PwcFxWHEL8Qnf2auYk0E7B5IkfmZQn1D1UtMPbHpT9YOVyo5UMo67aL2wAA8R3i9ebwIY4j/I/+uvIXFLwC3dp2Q0xwjGMLZQUjOoyAj8QHNytvGp1lSuzPokX8unTpgv/85z84dOgQ4uLi4O+vPbNjwYIFVikcsR9zB8OF+IVgUOQgnCw4idScVMzqr7sydXPTPTsGd0S3tt1wqewS9lzdg/t73G9x+V3ZrdpbLUq5YA1JnZJUb85eYi+jq5M6m4TYBHDgwDcugOcqrU6eRJi2X9VQBcB9Wjd8JD4Y3XG0qtVGM98TcSyLWm6++OILBAcH4+TJk1i/fr0qCzhlArctnueh5JWqH74xr1dzNM8x9HPw+kGzB8OppnjmJOtcT6FUmJRAUHiT23llp8GyuSPN/+Wu3F2qGT6WplxoKc2gKj463m5T0a2hrV9bxEWpZ924UquTp5CKparEjoB7dEkJNINpeu45D4tabnJzc1W3eUqcaRfnis9h1IZRKK8tV23rH94fR546AjEMzzh4MeVFvHfoPdW32uaYMxguqXMS3jr4Fjad3oRNpzfpPcZf6o9h7YcZvcYnxz/BZyc/w2cnP9PZL+JEeH3063ht9GsmlckV1MvrMfyr4aqWEoEj3xjjo+PhK/FFrbzWJd+gkzol4cTNE2xAdgRNbHBGSZ2T8Pul350u5UJLJXVOAlI0bhOnYPHIxS+//BJ9+vSBj48PfHx80KdPH3zxxRfWLBvRsOn0Jq3ABmADQPdf22/wHJlChnUn1pkc2EhFUszuN9vkMg2PHo4eIT2MHjOr3yyjCQTHxY5DbHCswf1KXom1x9e6VQvOwesHdQIbb7E3Huv7mIEzbM9b4o2nBj2FEL8QTO893WHlsNTMfjMR7BOMZ+Kecenpxe7swZ4PIjIgErP6zUKQd5Cji2M1fcL6YFTHUarfxDlY1HKzdOlSfPDBB5g/fz6GDWPfyg8fPoxFixbh6tWreOONN6xaSKIe7Pv5lM/xUM+HsGjnInx7+lskZydjbIexes8RltEP8QtB1j+zwMF4i4yv1Bd+Uj+Ty+Qt8cbZZ8/idt1tvftFnAitfVsbvYa/lz8uzb+kd0CxXClH5486o6i6CGeKzjh1KgBzCIOHH+3zKD6e9DEAwE/q5/Dl2j+a9JHLJjLtGdoTt1665ehiECOiAqNw8182TMXuIBzHYd/j+5o/kNiVRcHNunXr8N///hePPvqoatt9992Hfv36Yf78+RTcWJlmvqf7ut+Htn5tcU/Xe1TBzaqxq/Sep7mehL7ZStYgFonR1q9ti64hEUkMXmNMzBj8eflPJGcnu11wc0/Xe1pcd4QQQnRZ1C2lUCgwePBgne1xcXGQy2kpfWvTl+8poRObIXKm+AwKqvRPxXaHPCfuthZOSXUJMgozANCUUUIIsRWLgpuZM2di3bp1OtvXr1+Pxx5z3LgBd6VvDZQQvxDVDJHU3FSdc1xtGX1DhLKnXUtrNo+VK0jNYf+r/uH9ER4Q7uDSEEKIe7KoWwpgA4qTk5MxdOhQAMCRI0dw/fp1zJ49G4sXL1Ydt3r16paX0oMZy/eU2CkRJ26ewK7cXZgmmaa1b3fubvDg0Su0l0sso2+IkMfqRsUNpOWluXQrFOAerWmEEOLsLGq5OXv2LAYNGoTQ0FBkZ2cjOzsboaGhGDRoEM6ePYuMjAxkZGQgMzOz2WutXbsWsbGx8PHxQVxcHNLSDCdi3LJlCxITExEaGoqgoCAMGzYMO3futOQhuIys0iyD+Z6ED0hhnRRNjlzx1po081i5eg4qUxOTEkIIaRmLWm727NljlTvfvHkzFi5ciLVr1yI+Ph6ff/45Jk2ahPPnz6NDhw46x+/fvx+JiYlYuXIlgoOD8fXXX+Pee+/F0aNH3TZpp7AQnr58T8PaD4O/1B9F1UW4VndNtd3dPkQTOyfiq8yvXD64ySrNws3Km80mJiWEENIy9s3Q18Tq1avx5JNP4qmnnkLPnj2xZs0aREdH6x3PAwBr1qzBiy++iCFDhqBr165YuXIlunbtit9//93OJbcfY90Y3hJv1WJYmZWZqu2Xyy/j2p1rLreMviFCHqszxWcM5rFyBUJwNqrjKPhIfBxcGkIIcV8Wj7lpqYaGBpw8eRJLlizR2p6UlIRDhw6ZdA2lUonKykq0adPG4DH19fWor69X/V1RUQEAkMlkkMlkFpTcfjTzPY3tOFZveRNiEvDn5T+RWZmp2r/j0g4AQHz7eHhxXk7/OJvTStoKAyMGIr0wHTsu78DMvjONHi88Xmd73DuvsC7UhJgEu5bNWevDUag+tFF9qFFdaHO2+jCnHA4LbkpLS6FQKBAerj1jJDw8HIWFhSZd4/3330d1dTWmTZtm8JhVq1Zh+fLlOtuTk5Ph52f6gnWOcKbyDGpkNQiWBOP68eu4wd3QOUZaJwUAnK86jz92/gFvkTe+y/kOANC+oT22b99u1zLbSqwyFulIxzcHvkGb64aDWU0pKSk2LpXpZEoZ9uSy7lzvG97YXmb//4sz1YczoPrQRvWhRnWhzVnqo6amxuRjHRbcCJrmMeJ53qTcRj/88AOWLVuG3377DWFhYQaPe/nll7Vmb1VUVCA6OhpJSUkICrLdEuBZpVnYcGoD5ErL1/3JaGDroUzuMRn33HOP3mN4nsdbn7yF/Mp8/NzwMyIDI3Gu9hwAYN6keW6TZ8fvqh9++f4XXGi4gEmTJhl9jshkMqSkpCAxMRFyyPH+kfdxq069eu2gyEF4rI/tlyxIy0vDbxd/Aw8epTWlqFfWI9w/HM8++Kxdc7Fp1odUKrXb/Torqg9tVB9qVBfanK0+hJ4XUzgsuAkJCYFYLNZppSkuLtZpzWlq8+bNePLJJ/Hzzz9j/HjjC6F5e3vD21s3t5FUKrXpP2th8kLsuWqdgdf3dLvHaFkndp6ILzO/xP8u/E+1Ldw/HIPbD4aIc+iwKqsZFTsKflI/FFUX4cKtC+gX3q/Zc6RSKb7K+Aor0lbo7BsdMxqxrQ3ntGopJa/EjF9noKi6SGv7pK6T4OXlZbP7NcbWz3lXQ/WhjepDjepCm7PUhzllcFhw4+Xlhbi4OKSkpOCBBx5QbU9JScHUqVMNnvfDDz/g73//O3744QeDrRmOVllfiQN5BwAAi4Yugq/E8pxBYf5hzSYyXDZqGWoLaxHdKVqVNPDe7ve6TWADqAdPb7+8HcnZySYFNwCw4wobfzS562QMCB+An8//jMvll5GcnYxnBj9js/KeKjyFouoi+Ev98dzdzwEAfCQ+eGrQUza7T0IIIYxDu6UWL16MWbNmYfDgwRg2bBjWr1+PvLw8zJkzBwDrUsrPz8fGjRsBsMBm9uzZ+PDDDzF06FBVq4+vry9atWrlsMfR1L5r+yBTytCpdSesnmD7RQzDA8IxLWIaJo+Z7BTRta0kdUpSBTfPD3++2eMbFA2qAdkrx61E/4j+8JX6YumepUjOsW1wI8yMGhc7Dm8mvGmz+yGEEKLLoV/tp0+fjjVr1mDFihUYMGAA9u/fj+3bt6Njx44AgIKCAuTl5amO//zzzyGXy/HPf/4TkZGRqp/nnnvOUQ9BL82ElcR6Ejs3pmLIMy0Vw5EbR1Atq0aYfxj6hvcFoLHwYc6uFo2Hak5KDhuAR88BQgixP4cPKJ47dy7mzp2rd9+GDRu0/t67d6/tC2QFwgebOyyg50x6hvREu8B2yK/Mx4G8A6pgx5CUXHWAIXTRxUXGobVPa9yqu4Xj+ccxLHqY1ctZI6tBWh5baZueA4QQYn/uMyjDSeTdycOF0gsQcSKMix3n6OK4FY7j1FnCTVitWEgoqhlgiEViJHRKAKAOQq1t/7X9aFA0oEOrDujWtptN7oMQQohhFNxYmZAu4e52dyPYJ9ixhXFDQjePsHKzIRXyCqQXpGudI7B1rirNvF72nPJNCCGEoeDGyoQPXRprYRvjO7Gp/6eLTqOwyvBij6crT4MHjz5hfRAZGKm1T+jOOnLjCO7U3bF6GVXjbZrpNiOEEGIbFNxYkUKpQGqOblcIsZ5Q/1AMihwEAKq61kfItaUvK3pMcAy6te0GBa+w2lpEgpuVN3G2+Cw4cEiITbDqtQkhhJiGghsryijMQHltOYK8g3BXu7scXRy31Vy3Es/z6uDGQJCp6t6ycteU0C05OGow2vq1teq1CSGEmIaCGysSPijHxoyFVOy+6804mtDdk5KTAp7ndfZfLLuIUlkpvMReGNlxpN5rCEGPtQcVU7ckIYQ4nsOngrsT1UBS6pKyqfjoePhKfFFYVYhdubvQtU1Xrf2/XvwVADAiegT8pPqTo46JGQOJSIIr5Vdw+PphRAVGtbhcPHjqliSEECdAwY2VVDVU4dD1QwDog83WhFQMf135C4nfGm4hGR9rOO9YkHcQhrUfhrS8NAz/arhVy+cv9bfJ+jmEEEJMQ8GNleTeykVkYCTEnBidW3d2dHHc3twhc3E0/yhqZDV69weJgjCt1zSj15h31zycKT6DOnmd1col4kR47u7n4CV2THJMQgghFNxYTd/wvrj63FWU1ZbR2iZ2MKXbFJS9WKZ3n0wmw/bt29GhVQej15jWexqm9TYeABFCCHE9NKDYijiOQ4hfiKOLQQghhHg0Cm4IIYQQ4lYouCGEEEKIW6HghhBCCCFuhYIbQgghhLgVCm4IIYQQ4lYouCGEEEKIW6HghhBCCCFuhYIbQgghhLgVCm4IIYQQ4lYouCGEEEKIW6HghhBCCCFuhYIbQgghhLgVCm4IIYQQ4lYouCGEEEKIW6HghhBCCCFuhYIbQgghhLgVCm4IIYQQ4lYouCGEEEKIW6HghhBCCCFuhYIbQgghhLgVCm4IIYQQ4lYouCGEEEKIW6HghhBCCCFuhYIbQgghhLgVCm4IIYQQ4lYouCGEEEKIW6HghhBCCCFuhYIbQgghhLgVCm4IIYQQ4lYouCGEEEKIW6HghhBCCCFuhYIbQgghhLgVCm4IIYQQ4lYouCGEEEKIW6HghhBCCCFuhYIbQgghhLgVCm4IIYQQ4lYouCGEEEKIW6HghhBCCCFuhYIbQgghhLgVCm4IIYQQ4lYouCGEEEKIW3F4cLN27VrExsbCx8cHcXFxSEtLM3hsQUEBZsyYge7du0MkEmHhwoX2KyghhBBCXIJDg5vNmzdj4cKFeOWVV5CRkYGRI0di0qRJyMvL03t8fX09QkND8corr6B///52Li0hhBBCXIHEkXe+evVqPPnkk3jqqacAAGvWrMHOnTuxbt06rFq1Suf4mJgYfPjhhwCAr776yqT7qK+vR319verviooKAIBMJoNMJmvpQ3AKwuNwl8fTUlQf2qg+tFF9aKP6UKO60OZs9WFOOTie53kblsWghoYG+Pn54eeff8YDDzyg2v7cc88hMzMT+/btM3r+mDFjMGDAAKxZs8boccuWLcPy5ct1tn///ffw8/OzqOyEEEIIsa+amhrMmDEDd+7cQVBQkNFjHdZyU1paCoVCgfDwcK3t4eHhKCwstNr9vPzyy1i8eLHq74qKCkRHRyMpKanZynEVMpkMKSkpSExMhFQqdXRxHI7qQxvVhzaqD21UH2pUF9qcrT6EnhdTOLRbCgA4jtP6m+d5nW0t4e3tDW9vb53tUqnUKf5Z1uSOj6klqD60UX1oo/rQRvWhRnWhzVnqw5wyOGxAcUhICMRisU4rTXFxsU5rDiGEEEKIqRwW3Hh5eSEuLg4pKSla21NSUjB8+HAHlYoQQgghrs6h3VKLFy/GrFmzMHjwYAwbNgzr169HXl4e5syZA4CNl8nPz8fGjRtV52RmZgIAqqqqUFJSgszMTHh5eaFXr16OeAiEEEIIcTIODW6mT5+OsrIyrFixAgUFBejTpw+2b9+Ojh07AmCL9jVd82bgwIGq2ydPnsT333+Pjh074urVq/YsOiGEEEKclMMHFM+dOxdz587Vu2/Dhg062xw0c50QQgghLsLh6RcIIYQQQqyJghtCCCGEuBUKbgghhBDiVii4IYQQQohboeCGEEIIIW6FghtCCCGEuBUKbgghhBDiVii4IYQQQohboeCGEEIIIW6FghtCCCGEuBUKbgghhBDiVii4IYQQQohboeCGEEIIIW6FghtCCCGEuBUKbgghhBDiVii4IYQQQohboeCGEEIIIW5F4ugCuIvqamDdOsfct0IhwoULnXHhgghisWPK4Aj+/sDMmUBgoKNLQgjRp6QE+PFHoL7e0SUxTUveSwcOBBISbFMuYj4KbqykshJ44QVH3bsYQB9H3blDXb8OrFzp6FIQQvR58UVgwwZHl8Iclr+XisXAtWtAu3bWLRGxDAU3VuLjA8ye7Zj7ViqVyM+/gXbt2kMk8oyexoICICUF2L6dghtCnJFSyV6fAHDffUBwsEOLYxJL30t37QLy89l70uOP2658xHQU3FhJcDDwzTeOuW+ZTIHt2zMweXIkpFLPCG5KSoCwMODUKaCwEIiIcHSJCCGaTp8GiotZ9/HPPwNeXo4uUfMsfS9duhR44w0gOZmCG2fhGZ+ExO2EhgKDBrHbqamOLQshRFdyMvs9dqxrBDYtkZTEfqeksBYr4ngU3BCXlZjIfqekOLYchBBdwutSeJ26s6FDgYAAoLQUyMx0dGkIQMENcWHCt6XkZIDnHVsWQohaTQ2QlsZuC69TdyaVAuPGsdv0Zcs5UHBDXFZ8PODry8bcnD3r6NIQQgRpaWz6d3Q00L27o0tjH0ILldAdRxyLghvisry9gTFj2G36tkSI8xBej0lJAMc5tiz2IrRQHTjA1j0jjkXBDXFp9G2JEOcjvB49YbyNoGtXoGNHoKEB2L/f0aUhFNwQlyZ8W9q3D6irc2xZCCFsDaozZ1iLjSet2Mtx2uMAiWNRcENcWq9eQFQUC2wOHHB0aQghQpdUXBwQEuLYstgbzeB0HrSIH3FpHMfeUL75hn1bGjeOrTOh+WMOD1ngmViZK69t0pLXiz6e2CUlSEhg70nnzrHUMM6WiqGl7288b97MVEe+n9JbOXF5QlPwu++y/C4+PlI8+OBU+PhIIRbDrJ9//MOxj4W4nkWLzHuOOdtPS14v+n6++47ViydMAW+qTRtgyBB2u0MHx/9vNX8kEuDVVy1/bOfPs5Y4U++vfXvr1KmlKLghLm/SJNY1ZQ1ffw1UVFjnWsT91dUBn3/u6FI4nx49gOHDHV0Kx/j7351zhhjPA2vXAgqFZedv2gSUl1u3TLZE3VLE5bVuDVy9qg5KZDIZUlJSkJiYCKlUavJ1hg4FrlwB9u5lif4Iac7Bg0BtLRAZyXIpOeOHWnMsfb0YExzMvr17omeeAWbMYLOmnIVSyWZz3boFnDwJ3HWX+dcQuhs/+wz4v/9r/nhHvxYouCFuQSoF2rZlt2UyIChIhrZt2XZTJSWx4CY5mYIbYhrhDT8pyXUHz1r6eiGGBQY6ugS6EhKALVvYc9bc4Ka0FEhPZ7fvu0/9XuvMqFuKkEY0jZOYy5PyJxHX1pL3t927OfA80Lcva6V0BRTcENJozBjWlH75MuvmIsSY4mIgI4PdHj/esWUhpDlCcHP4MFBZad65qakirWu4AgpuCGnUqhUbdwPQOhWkeamp7PeAAUB4uEOLQkizYmOBzp0BuZyNKzQVzwOpqWwADQU3hLgo6poiptIcb0OIK7Dk/e3GjQDcuMHB2xsYOdI25bIFCm4I0SCMnUhNtXzKJHF/PE/jbYjrsSS4OXUqDAALbHx9bVAoG6HghhANQ4aw7qnbt4ETJxxdGuKszp8Hbt4EfHyAESMcXRpCTDN2LBtXeOkScO2aaedkZoYCcL0WSgpuCNEgkaiT/dG4G2KI8M139GgW4BDiCswdV9jQAJw9y9Y4oOCGEBdH425Ic6hLirgq4TlryvvbkSMc6uokCAvj0bevbctlbbSIHyFNCC/+w4fZqsdBQY4tjycrLQXWrAGqqqx3TaVShNzcPti1S2RxYj9htomrfZslJCkJWLYM2LkTWLjQ+LEnT7IXSEICD5HItZbfpuCGkCY6dWJTJrOzKRWDo739NvDee9a+qhhA5xZfpV07oE+flpeGEHsaMoQl+CwvBz78sLmjhfVtlHC1jh4KbgjRIykJWLeOdT9QcOM4O3aw348+ytbpsAaFQoHs7Gx07twZYgsTIHEce144On8OIeaSSIBt24Dt25s/VqFQoLT0PKZP72H7glkZBTeE6CEENzTuxnFu3gTOnmUBxMcfWy+fjUymxPbtWZg8ORZSqYdmdyQeLT6e/TSHvVZyIJG4XnDjWu1MhNiJ5pRJSsXgGMIKwHFxrpGojxDiPCi4IUSPVq2Au+9mt2lKuGPQCsCEEEtRcEOIATQl3HGUSnVQScENIcRcFNwQYoAwJXzXLkrFYG+nT7Os2/7+wLBhji4NIcTVUHBDiAF33cXWuLl1Czh50tGl8SxCq82YMYCXl0OLQghxQRTcEGKAZioG6pqyLxpvQwhpCYcHN2vXrkVsbCx8fHwQFxeHtLQ0o8fv27cPcXFx8PHxQadOnfDZZ5/ZqaTEE9G4G/urqQGEtwEKbgghlnBocLN582YsXLgQr7zyCjIyMjBy5EhMmjQJeXl5eo/Pzc3F5MmTMXLkSGRkZODf//43FixYgF9++cXOJSeeQjMVQ2WlY8viKdLSgPp6oH17oHt3R5eGEOKKHLqI3+rVq/Hkk0/iqaeeAgCsWbMGO3fuxLp167Bq1Sqd4z/77DN06NABa9asAQD07NkTJ06cwHvvvYeHHnrInkUnHqJzZ5aOIScH+OUXtv6Nq5HJgOJiX1y7Bkilji5N87ZuZb+TkmgFYEKIZRwW3DQ0NODkyZNYsmSJ1vakpCQcOnRI7zmHDx9GUpN26gkTJuDLL7+ETCaDVM87d319Perr61V/V1RUAABkMhlkMllLH4ZTEB6HuzyelrJ2fYwfL8L69WI88YRVLucAUgCu178zbpwcMhlv9evS60Ub1Yca1YU2Z6sPc8rhsOCmtLQUCoUC4eHhWtvDw8NRWFio95zCwkK9x8vlcpSWliIyMlLnnFWrVmH58uU625OTk+Hn59eCR+B8Umi1OS3Wqo9u3YLRuvXdqK52gWYPNxEVVQWR6AC2b5fb7D7o9aKN6kON6kKbs9RHTU2Nycc6PLcU16Tdmed5nW3NHa9vu+Dll1/G4sWLVX9XVFQgOjoaSUlJCAoKsrTYTkUmkyElJQWJiYl6W688jS3qY8ECAFBa5Vr25prPDz/YqrXJNevDdqg+1KgutDlbfQg9L6ZwWHATEhICsVis00pTXFys0zojiIiI0Hu8RCJBWwPJZ7y9veHt7a2zXSqVOsU/y5rc8TG1BNWHNqoPbVQf2qg+1KgutDlLfZhTBofNlvLy8kJcXJxOc1dKSgqGDx+u95xhw4bpHJ+cnIzBgwc7RcUTQgghxPEcOhV88eLF+OKLL/DVV18hKysLixYtQl5eHubMmQOAdSnNnj1bdfycOXNw7do1LF68GFlZWfjqq6/w5Zdf4vnnn3fUQyCEEEKIk3HomJvp06ejrKwMK1asQEFBAfr06YPt27ejY8eOAICCggKtNW9iY2Oxfft2LFq0CJ9++imioqLw0Ucf0TRwQgghhKg4fEDx3LlzMXfuXL37NmzYoLNt9OjRSE9Pt3GpCCGEEOKqHJ5+gRBCCCHEmii4IYQQQohboeCGEEIIIW6FghtCCCGEuBUKbgghhBDiVii4IYQQQohboeCGEEIIIW6FghtCCCGEuBUKbgghhBDiVhy+QrG98TwPwLzU6c5OJpOhpqYGFRUVlEAUVB9NUX1oo/rQRvWhRnWhzdnqQ/jcFj7HjfG44KayshIAEB0d7eCSEEIIIcRclZWVaNWqldFjON6UEMiNKJVK3Lx5E4GBgeA4ztHFsYqKigpER0fj+vXrCAoKcnRxHI7qQxvVhzaqD21UH2pUF9qcrT54nkdlZSWioqIgEhkfVeNxLTcikQjt27d3dDFsIigoyCmegM6C6kMb1Yc2qg9tVB9qVBfanKk+mmuxEdCAYkIIIYS4FQpuCCGEEOJWKLhxA97e3nj99dfh7e3t6KI4BaoPbVQf2qg+tFF9qFFdaHPl+vC4AcWEEEIIcW/UckMIIYQQt0LBDSGEEELcCgU3hBBCCHErFNwQQgghxK1QcONi8vPzMXPmTLRt2xZ+fn4YMGAATp48qdrP8zyWLVuGqKgo+Pr6YsyYMTh37pwDS2wbcrkcr776KmJjY+Hr64tOnTphxYoVUCqVqmPcuS7279+Pe++9F1FRUeA4Dlu3btXab8pjr6+vx/z58xESEgJ/f3/cd999uHHjhh0fhfUYqw+ZTIaXXnoJffv2hb+/P6KiojB79mzcvHlT6xqeUh9NPfPMM+A4DmvWrNHa7mn1kZWVhfvuuw+tWrVCYGAghg4diry8PNV+T6qPqqoqzJs3D+3bt4evry969uyJdevWaR3j7PVBwY0LuXXrFuLj4yGVSvHXX3/h/PnzeP/99xEcHKw65p133sHq1avxySef4Pjx44iIiEBiYqIqp5a7ePvtt/HZZ5/hk08+QVZWFt555x28++67+Pjjj1XHuHNdVFdXo3///vjkk0/07jflsS9cuBC//vorfvzxRxw4cABVVVWYMmUKFAqFvR6G1Rirj5qaGqSnp2Pp0qVIT0/Hli1bcOnSJdx3331ax3lKfWjaunUrjh49iqioKJ19nlQf2dnZGDFiBHr06IG9e/fi1KlTWLp0KXx8fFTHeFJ9LFq0CDt27MCmTZuQlZWFRYsWYf78+fjtt99Uxzh9ffDEZbz00kv8iBEjDO5XKpV8REQE/9Zbb6m21dXV8a1ateI/++wzexTRbu655x7+73//u9a2Bx98kJ85cybP855VFwD4X3/9VfW3KY/99u3bvFQq5X/88UfVMfn5+bxIJOJ37Nhht7LbQtP60OfYsWM8AP7atWs8z3tmfdy4cYNv164df/bsWb5jx478Bx98oNrnafUxffp01XuHPp5WH7179+ZXrFihtW3QoEH8q6++yvO8a9QHtdy4kG3btmHw4MF4+OGHERYWhoEDB+K///2van9ubi4KCwuRlJSk2ubt7Y3Ro0fj0KFDjiiyzYwYMQK7du3CpUuXAACnTp3CgQMHMHnyZACeVRdNmfLYT548CZlMpnVMVFQU+vTp4/b1AwB37twBx3GqVk9Pqw+lUolZs2bhhRdeQO/evXX2e1J9KJVK/Pnnn+jWrRsmTJiAsLAw3H333VpdNZ5UHwB7f922bRvy8/PB8zz27NmDS5cuYcKECQBcoz4ouHEhOTk5WLduHbp27YqdO3dizpw5WLBgATZu3AgAKCwsBACEh4drnRceHq7a5y5eeuklPProo+jRowekUikGDhyIhQsX4tFHHwXgWXXRlCmPvbCwEF5eXmjdurXBY9xVXV0dlixZghkzZqiSAXpafbz99tuQSCRYsGCB3v2eVB/FxcWoqqrCW2+9hYkTJyI5ORkPPPAAHnzwQezbtw+AZ9UHAHz00Ufo1asX2rdvDy8vL0ycOBFr167FiBEjALhGfXhcVnBXplQqMXjwYKxcuRIAMHDgQJw7dw7r1q3D7NmzVcdxHKd1Hs/zOttc3ebNm7Fp0yZ8//336N27NzIzM7Fw4UJERUXhb3/7m+o4T6gLQyx57O5ePzKZDI888giUSiXWrl3b7PHuWB8nT57Ehx9+iPT0dLMfmzvWhzAJYerUqVi0aBEAYMCAATh06BA+++wzjB492uC57lgfAAtujhw5gm3btqFjx47Yv38/5s6di8jISIwfP97gec5UH9Ry40IiIyPRq1cvrW09e/ZUjeiPiIgAAJ3Iubi4WOdbvKt74YUXsGTJEjzyyCPo27cvZs2ahUWLFmHVqlUAPKsumjLlsUdERKChoQG3bt0yeIy7kclkmDZtGnJzc5GSkqJqtQE8qz7S0tJQXFyMDh06QCKRQCKR4Nq1a/jXv/6FmJgYAJ5VHyEhIZBIJM2+t3pKfdTW1uLf//43Vq9ejXvvvRf9+vXDvHnzMH36dLz33nsAXKM+KLhxIfHx8bh48aLWtkuXLqFjx44AgNjYWERERCAlJUW1v6GhAfv27cPw4cPtWlZbq6mpgUik/fQVi8Wqb2GeVBdNmfLY4+LiIJVKtY4pKCjA2bNn3bJ+hMDm8uXLSE1NRdu2bbX2e1J9zJo1C6dPn0ZmZqbqJyoqCi+88AJ27twJwLPqw8vLC0OGDDH63upJ9SGTySCTyYy+v7pEfThsKDMx27Fjx3iJRMK/+eab/OXLl/nvvvuO9/Pz4zdt2qQ65q233uJbtWrFb9myhT9z5gz/6KOP8pGRkXxFRYUDS259f/vb3/h27drxf/zxB5+bm8tv2bKFDwkJ4V988UXVMe5cF5WVlXxGRgafkZHBA+BXr17NZ2RkqGb/mPLY58yZw7dv355PTU3l09PT+XHjxvH9+/fn5XK5ox6WxYzVh0wm4++77z6+ffv2fGZmJl9QUKD6qa+vV13DU+pDn6azpXjes+pjy5YtvFQq5devX89fvnyZ//jjj3mxWMynpaWpruFJ9TF69Gi+d+/e/J49e/icnBz+66+/5n18fPi1a9eqruHs9UHBjYv5/fff+T59+vDe3t58jx49+PXr12vtVyqV/Ouvv85HRETw3t7e/KhRo/gzZ844qLS2U1FRwT/33HN8hw4deB8fH75Tp078K6+8ovVh5c51sWfPHh6Azs/f/vY3nudNe+y1tbX8vHnz+DZt2vC+vr78lClT+Ly8PAc8mpYzVh+5ubl69wHg9+zZo7qGp9SHPvqCG0+rjy+//JLv0qUL7+Pjw/fv35/funWr1jU8qT4KCgr4xx9/nI+KiuJ9fHz47t278++//z6vVCpV13D2+uB4nudt2zZECCGEEGI/NOaGEEIIIW6FghtCCCGEuBUKbgghhBDiVii4IYQQQohboeCGEEIIIW6FghtCCCGEuBUKbgghhBDiVii4IYQQQohboeCGEA81ZswYLFy40NHFUOF5Hv/4xz/Qpk0bcByHzMxMu9331atX7X6fzsLZngeEWIPE0QUghBAA2LFjBzZs2IC9e/eiU6dOCAkJsdt9R0dHo6CgwK73SQixHQpuCCFWo1AowHGcTkZhU2RnZyMyMtKsrMItuT9NYrEYERERLboGIcR5ULcUIQ40ZswYLFiwAC+++CLatGmDiIgILFu2TLVfX3fJ7du3wXEc9u7dCwDYu3cvOI7Dzp07MfD/27v3kCrvPw7g7ydTd/SxLA1nWsow7bhOpVtNq3XsptFVaLBONokVaTkzilaOxNgMC5NkUQ1Gs0AqAo1qtTrVTLvMtTqVVEdPWZQ2w63ZxTawju/fH+FDj7eMBMvf5wWCz+3z/X6f78Hz5lz8RkTAYDBg4sSJqKurwy+//AKj0Yg+ffrAYrHg33//1bX//PlzfPXVV/D29oaPjw/Wrl2Ll5eba2xsxNdff42AgAB4enrik08+0doFgJ07d8Lb2xs///wzwsPD4e7ujjt37rQ51pKSEowePRru7u7w9/fHmjVr8Pz5cwDAggULkJqairt370JRFAQHB7dZo732Ourno0ePYDAYcPToUV2toqIieHp6oqGhoc37fP36dUybNg2qqsLPzw9ffPEF/v77bwDAoUOH4O3tjaamJgDA5cuXoSgKVq1apV2flJQEi8UCALhz5w5mzpyJfv36wdPTEx9++CGOHDnS5hgBIDg4GFlZWUhMTISqqggKCsKBAwfw119/Yfbs2VBVFSaTCRcuXNCuefDgASwWCwIDA+Hh4QGTyYQ9e/bo6j59+lSr6e/vj9zc3FZtv2rOhXgndO+6nUL8fzObzezTpw/XrVtHh8PBXbt2UVEUWq1WktRWtL506ZJ2TX19vW5F6+YVfqOionjmzBnabDaGhITQbDYzNjaWNpuNpaWl9PHx4YYNG3Rtq6rKtLQ0VlRUsKCggB4eHrqV5ufNm8cxY8awtLSUN2/eZE5ODt3d3elwOEiS+fn5dHV15ZgxY3j27FlWVFSwoaGh1Thramro4eHBpUuX0m63c//+/fT19WVmZiZJ8uHDh/z2228ZGBjI2tpa1tXVtXm/2mvvVf2cM2cO58+fr6s1Z84cWiyWNu/zn3/+SV9fX6anp9Nut9Nms3HKlCmcMGGC1t9evXrxwoULJMm8vDz6+vpy1KhRWv3Q0FBu376dJDl9+nROmTKF5eXlrKqq4qFDh1hSUtLOo+LFKt39+/fnDz/8QIfDwSVLltDLy4tTp07lvn37WFlZyfj4eBqNRm2l5pqaGubk5PDSpUusqqri999/TxcXF5aVlWl1lyxZwsDAQFqtVpaXl3PGjBnaY6Czcy7Eu0DCjRDdyGw2c9y4cbp9o0aN4urVq0m+Xrg5ceKEdk52djYBsKqqStuXlJTEuLg4XdsvPzmS5OrVq2k0GkmSN2/epKIovHfvnq5/kyZNYnp6OskXYQMAL1++3OE4v/nmG4aFhena2rp1K1VVpdPpJElu3ryZQUFBHdZpq73O9LOoqIiqqvLp06ckyUePHvG9997j4cOHSba+zxkZGYyNjdXVq66uJgBWVlaSJCMjI7lp0yaSZHx8PNevX083Nzc+fvyYtbW1BEC73U6SNJlMXLduXYdje1lQUJAujDXXy8jI0Pb99ttvBMDa2tp260ybNo0rV64kST558oRubm7cu3evdvzBgwc0GAxauOnMvRTiXSBvSwnRzYYPH67b9vf3R11d3RvV8fPzg4eHBz744APdvpZ1o6KioCiKth0dHY0bN27A6XTCZrOBJEJDQ6GqqvZTUlKCqqoq7Ro3N7dWY2jJbrcjOjpa19bYsWPR0NCAmpqa1xpny/Y608/p06ejd+/eOHjwIACgsLAQXl5eiI2NbbONixcvori4WFdv6NChAKDVjImJwalTp0ASp0+fxuzZszFs2DCcOXMGxcXF8PPz065ZtmwZsrKyMHbsWGRmZqK8vPyV42w5nwBgMpla7WueU6fTifXr12P48OHw8fGBqqqwWq24e/eu1u/GxkZER0drNfr374+wsLDXupdCvAvkA8VCdDNXV1fdtqIo2mc5mj8oy5c+B/Ps2bNX1lEUpcO6ndHU1AQXFxdcvHgRLi4uumOqqmq/GwwGXWhpC8lW5zSP6VXXttSyvc70083NDZ999hl2796NuXPnYvfu3fj888/Ru3fbfwKbmpowc+ZMbNy4sdUxf39/AC/CzY4dO3DlyhX06tUL4eHhMJvNKCkpQX19Pcxms3bNokWLEBcXh8OHD8NqtSI7Oxu5ublITU1td5wt57O9fc1zmpubi82bNyMvLw8mkwmenp5Yvnw5GhsbAegfQ+3p7JwL8baTcCPEW2zAgAEAgNraWkRERABAl/4vlrKyslbbQ4YMgYuLCyIiIuB0OlFXV4dPP/30jdoJDw9HYWGhLuScO3cOXl5eCAgIeKPane1nQkICYmNjce3aNRQXF+O7775r99zIyEgUFhYiODi43QA0fvx4PHnyBHl5eTCbzVAUBWazGdnZ2aivr0daWpru/EGDBiE5ORnJyclIT0/Hjz/+2GG4eV3Nrx7Nnz8fwIugcuPGDRiNRgBASEgIXF1dUVZWhsGDBwMA6uvr4XA4tCDWlXMuRHeSt6WEeIsZDAZERUVhw4YNuH79OkpLS7F27douq19dXY0VK1agsrISe/bswZYtW7Qn5dDQUCQkJCAxMRFFRUW4ffs2/vjjD2zcuLHDb/q0ZenSpaiurkZqaioqKipw4MABZGZmYsWKFW/8Ne7O9tNsNsPPzw8JCQkIDg5GVFRUuzVTUlLwzz//wGKx4Pz587h16xasViu+/PJLOJ1OAEDfvn0xcuRIFBQUICYmBsCLwGOz2eBwOLR9ALB8+XIcO3YMt2/fhs1mw6+//qqFjq4SEhKC48eP49y5c7Db7UhKSsL9+/e146qqYuHChVi1ahVOnjyJq1evYsGCBbr735VzLkR3knAjxFvup59+wrNnz/Dxxx8jLS0NWVlZXVY7MTER//33H0aPHo2UlBSkpqZi8eLF2vH8/HwkJiZi5cqVCAsLw6xZs/D7779j0KBBr9VOQEAAjhw5gvPnz2PEiBFITk7GwoULuyyodaafiqLAYrHgypUrSEhI6LDewIEDcfbsWTidTsTFxWHYsGFIS0tD3759dWFgwoQJcDqdWpDp168fwsPDMWDAAF14cTqdSElJgdFoxNSpUxEWFoZt27Z1ydibZWRkIDIyEnFxcYiJicH777+P+Ph43Tk5OTkYP348Zs2ahcmTJ2PcuHH46KOPdOd01ZwL0Z0UduaNWCGEEEKId4S8ciOEEEKIHkXCjRBCCCF6FAk3QgghhOhRJNwIIYQQokeRcCOEEEKIHkXCjRBCCCF6FAk3QgghhOhRJNwIIYQQokeRcCOEEEKIHkXCjRBCCCF6FAk3QgghhOhR/gf7jDsu+kwk8QAAAABJRU5ErkJggg==\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plot_df = df.iloc[window:]\n", + "plt.plot(plot_df.n_reviews, plot_df.prop_0, color=\"red\", label=\"DNR\")\n", + "plt.plot(plot_df.n_reviews, plot_df.prop_1, color=\"orange\", label=\"SGFI\")\n", + "plt.plot(plot_df.n_reviews, plot_df.prop_2, color=\"green\", label=\"Good\")\n", + "plt.plot(plot_df.n_reviews, plot_df.prop_3, color=\"blue\", label=\"Phenomenal\")\n", + "\n", + "plt.ylabel(\"proportion\")\n", + "plt.xlabel(\"number of reviews made\")\n", + "plt.legend()\n", + "plt.grid()" + ] + }, + { + "cell_type": "code", + "execution_count": 63, + "id": "e4fcf285-d9e3-4721-aebb-facc5c0e9bc0", + "metadata": {}, + "outputs": [], + "source": [ + "import matplotlib.pyplot as plt" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "faa315ee-f5a7-451b-9571-fd989294a1a4", + "metadata": {}, + "outputs": [], "source": [] } ],