From e8447abcba2ba69b9532e1334c2204f5655582d1 Mon Sep 17 00:00:00 2001 From: DamarisSantos Date: Thu, 2 Nov 2023 19:51:15 -0300 Subject: [PATCH] Projeto Semana 13 :nerd_face: --- exercicios/para-casa/breast-cancer.csv | 287 +++ exercicios/para-casa/breast-cancer.db | Bin 0 -> 53248 bytes .../para-casa/breast-cancer_traduzido.csv | 287 +++ exercicios/para-casa/cancer-mama.csv | 288 +++ exercicios/para-casa/cancer-mama.jpg | Bin 0 -> 37265 bytes exercicios/para-casa/projeto-mama.ipynb | 1596 +++++++++++++++++ 6 files changed, 2458 insertions(+) create mode 100644 exercicios/para-casa/breast-cancer.csv create mode 100644 exercicios/para-casa/breast-cancer.db create mode 100644 exercicios/para-casa/breast-cancer_traduzido.csv create mode 100644 exercicios/para-casa/cancer-mama.csv create mode 100644 exercicios/para-casa/cancer-mama.jpg create mode 100644 exercicios/para-casa/projeto-mama.ipynb diff --git a/exercicios/para-casa/breast-cancer.csv b/exercicios/para-casa/breast-cancer.csv new file mode 100644 index 0000000..6648411 --- /dev/null +++ b/exercicios/para-casa/breast-cancer.csv @@ -0,0 +1,287 @@ +ID,Class,Age,Menopause,Tumor-size,Inv-nodes,Node-caps,Deg-malig,Breast,Breast-quad,Irradiat +0,no-recurrence-events,30-39,premeno,30-34,0-2,no,3,left,left_low,no +1,no-recurrence-events,40-49,premeno,20-24,0-2,no,2,right,right_up,no +2,no-recurrence-events,40-49,premeno,20-24,0-2,no,2,left,left_low,no +3,no-recurrence-events,60-69,ge40,15-19,0-2,no,2,right,left_up,no +4,no-recurrence-events,40-49,premeno,0-4,0-2,no,2,right,right_low,no +5,no-recurrence-events,60-69,ge40,15-19,0-2,no,2,left,left_low,no +6,no-recurrence-events,50-59,premeno,25-29,0-2,no,2,left,left_low,no +7,no-recurrence-events,60-69,ge40,20-24,0-2,no,1,left,left_low,no +8,no-recurrence-events,40-49,premeno,50-54,0-2,no,2,left,left_low,no +9,no-recurrence-events,40-49,premeno,20-24,0-2,no,2,right,left_up,no +10,no-recurrence-events,40-49,premeno,0-4,0-2,no,3,left,central,no 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11no-recurrence-events40-49premeno20-240-2no2rightright_upno
22no-recurrence-events40-49premeno20-240-2no2leftleft_lowno
33no-recurrence-events60-69ge4015-190-2no2rightleft_upno
44no-recurrence-events40-49premeno0-40-2no2rightright_lowno
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281281recurrence-events30-39premeno30-340-2no2leftleft_upno
282282recurrence-events30-39premeno20-240-2no3leftleft_upyes
283283recurrence-events60-69ge4020-240-2no1rightleft_upno
284284recurrence-events40-49ge4030-343-5no3leftleft_lowno
285285recurrence-events50-59ge4030-343-5no3leftleft_lowno
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286 rows × 11 columns

\n", + "" + ], + "text/plain": [ + " ID Class Age Menopause Tumor-size Inv-nodes \\\n", + "0 0 no-recurrence-events 30-39 premeno 30-34 0-2 \n", + "1 1 no-recurrence-events 40-49 premeno 20-24 0-2 \n", + "2 2 no-recurrence-events 40-49 premeno 20-24 0-2 \n", + "3 3 no-recurrence-events 60-69 ge40 15-19 0-2 \n", + "4 4 no-recurrence-events 40-49 premeno 0-4 0-2 \n", + ".. ... ... ... ... ... ... \n", + "281 281 recurrence-events 30-39 premeno 30-34 0-2 \n", + "282 282 recurrence-events 30-39 premeno 20-24 0-2 \n", + "283 283 recurrence-events 60-69 ge40 20-24 0-2 \n", + "284 284 recurrence-events 40-49 ge40 30-34 3-5 \n", + "285 285 recurrence-events 50-59 ge40 30-34 3-5 \n", + "\n", + " Node-caps Deg-malig Breast Breast-quad Irradiat \n", + "0 no 3 left left_low no \n", + "1 no 2 right right_up no \n", + "2 no 2 left left_low no \n", + "3 no 2 right left_up no \n", + "4 no 2 right right_low no \n", + ".. ... ... ... ... ... \n", + "281 no 2 left left_up no \n", + "282 no 3 left left_up yes \n", + "283 no 1 right left_up no \n", + "284 no 3 left left_low no \n", + "285 no 3 left left_low no \n", + "\n", + "[286 rows x 11 columns]" + ] + }, + "execution_count": 3, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df = pd.read_csv(\"breast-cancer.csv\", sep=\",\" , encoding= 'UTF-8') \n", + "df" + ] + }, + { + "cell_type": "markdown", + "id": "47cf3339", + "metadata": { + "slideshow": { + "slide_type": "subslide" + } + }, + "source": [ + "Mostrando que tipo é o df" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "b0542515", + "metadata": { + "slideshow": { + "slide_type": "subslide" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n" + ] + } + ], + "source": [ + "print(type(df))" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "36ba974e", + "metadata": { + "slideshow": { + "slide_type": "subslide" + } + }, + "outputs": [ + { + "data": { + "text/plain": [ + "ID int64\n", + "Class object\n", + "Age object\n", + "Menopause object\n", + "Tumor-size object\n", + "Inv-nodes object\n", + "Node-caps object\n", + "Deg-malig int64\n", + "Breast object\n", + "Breast-quad object\n", + "Irradiat object\n", + "dtype: object" + ] + }, + "execution_count": 5, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df.dtypes" + ] + }, + { + "cell_type": "markdown", + "id": "d2d2d34c", + "metadata": {}, + "source": [ + "Tradução do cabeçalho e lado da mama" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "bb5d8e24", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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44no-recurrence-events40-49premeno0-40-2no2direitaright_lowno
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283283recurrence-events60-69ge4020-240-2no1direitaleft_upno
284284recurrence-events40-49ge4030-343-5no3esquerdaleft_lowno
285285recurrence-events50-59ge4030-343-5no3esquerdaleft_lowno
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286 rows × 11 columns

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" + ], + "text/plain": [ + " Id Recorrência Idade Menopausa Tamanho-Tumor \\\n", + "0 0 no-recurrence-events 30-39 premeno 30-34 \n", + "1 1 no-recurrence-events 40-49 premeno 20-24 \n", + "2 2 no-recurrence-events 40-49 premeno 20-24 \n", + "3 3 no-recurrence-events 60-69 ge40 15-19 \n", + "4 4 no-recurrence-events 40-49 premeno 0-4 \n", + ".. ... ... ... ... ... \n", + "281 281 recurrence-events 30-39 premeno 30-34 \n", + "282 282 recurrence-events 30-39 premeno 20-24 \n", + "283 283 recurrence-events 60-69 ge40 20-24 \n", + "284 284 recurrence-events 40-49 ge40 30-34 \n", + "285 285 recurrence-events 50-59 ge40 30-34 \n", + "\n", + " Numero-Linfonodos Penetração-Capsula-Linfonodo Grau-Malignidade \\\n", + "0 0-2 no 3 \n", + "1 0-2 no 2 \n", + "2 0-2 no 2 \n", + "3 0-2 no 2 \n", + "4 0-2 no 2 \n", + ".. ... ... ... \n", + "281 0-2 no 2 \n", + "282 0-2 no 3 \n", + "283 0-2 no 1 \n", + "284 3-5 no 3 \n", + "285 3-5 no 3 \n", + "\n", + " Mama Quadrante-Mama Radioterapia \n", + "0 esquerda left_low no \n", + "1 direita right_up no \n", + "2 esquerda left_low no \n", + "3 direita left_up no \n", + "4 direita right_low no \n", + ".. ... ... ... \n", + "281 esquerda left_up no \n", + "282 esquerda left_up yes \n", + "283 direita left_up no \n", + "284 esquerda left_low no \n", + "285 esquerda left_low no \n", + "\n", + "[286 rows x 11 columns]" + ] + }, + "execution_count": 6, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "\n", + "df = pd.read_csv('breast-cancer.csv')\n", + "\n", + "mapeamento = {'left': 'esquerda', 'right': 'direita'}\n", + "\n", + "\n", + "df['Breast'] = df['Breast'].replace(mapeamento)\n", + "\n", + "\n", + "df.to_csv('breast-cancer_traduzido.csv', index=False)\n", + "\n", + "traducoes = {\n", + " 'ID': 'Id',\n", + " 'Class': 'Recorrência',\n", + " 'Age': 'Idade',\n", + " 'Menopause': 'Menopausa',\n", + " 'Tumor-size': 'Tamanho-Tumor',\n", + " 'Inv-nodes': 'Numero-Linfonodos',\n", + " 'Node-caps': 'Penetração-Capsula-Linfonodo',\n", + " 'Deg-malig': 'Grau-Malignidade',\n", + " 'Breast': 'Mama',\n", + " 'Breast-quad': 'Quadrante-Mama',\n", + " 'Irradiat': 'Radioterapia',\n", + "}\n", + "novas_colunas = []\n", + "for chave, valor in traducoes.items():\n", + " novas_colunas.append(valor)\n", + "\n", + "df.columns = novas_colunas\n", + "df\n" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "f3cf6355", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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IdRecorrênciaIdadeMenopausaTamanho-TumorNumero-LinfonodosPenetração-Capsula-LinfonodoGrau-MalignidadeMamaQuadrante-MamaRadioterapia
00no-recurrence-events30-39premeno30-340-2no3esquerdaleft_lowno
11no-recurrence-events40-49premeno20-240-2no2direitaright_upno
22no-recurrence-events40-49premeno20-240-2no2esquerdaleft_lowno
33no-recurrence-events60-69ge4015-190-2no2direitaleft_upno
44no-recurrence-events40-49premeno0-40-2no2direitaright_lowno
....................................
281281recurrence-events30-39premeno30-340-2no2esquerdaleft_upno
282282recurrence-events30-39premeno20-240-2no3esquerdaleft_upyes
283283recurrence-events60-69ge4020-240-2no1direitaleft_upno
284284recurrence-events40-49ge4030-343-5no3esquerdaleft_lowno
285285recurrence-events50-59ge4030-343-5no3esquerdaleft_lowno
\n", + "

286 rows × 11 columns

\n", + "
" + ], + "text/plain": [ + " Id Recorrência Idade Menopausa Tamanho-Tumor \\\n", + "0 0 no-recurrence-events 30-39 premeno 30-34 \n", + "1 1 no-recurrence-events 40-49 premeno 20-24 \n", + "2 2 no-recurrence-events 40-49 premeno 20-24 \n", + "3 3 no-recurrence-events 60-69 ge40 15-19 \n", + "4 4 no-recurrence-events 40-49 premeno 0-4 \n", + ".. ... ... ... ... ... \n", + "281 281 recurrence-events 30-39 premeno 30-34 \n", + "282 282 recurrence-events 30-39 premeno 20-24 \n", + "283 283 recurrence-events 60-69 ge40 20-24 \n", + "284 284 recurrence-events 40-49 ge40 30-34 \n", + "285 285 recurrence-events 50-59 ge40 30-34 \n", + "\n", + " Numero-Linfonodos Penetração-Capsula-Linfonodo Grau-Malignidade \\\n", + "0 0-2 no 3 \n", + "1 0-2 no 2 \n", + "2 0-2 no 2 \n", + "3 0-2 no 2 \n", + "4 0-2 no 2 \n", + ".. ... ... ... \n", + "281 0-2 no 2 \n", + "282 0-2 no 3 \n", + "283 0-2 no 1 \n", + "284 3-5 no 3 \n", + "285 3-5 no 3 \n", + "\n", + " Mama Quadrante-Mama Radioterapia \n", + "0 esquerda left_low no \n", + "1 direita right_up no \n", + "2 esquerda left_low no \n", + "3 direita left_up no \n", + "4 direita right_low no \n", + ".. ... ... ... \n", + "281 esquerda left_up no \n", + "282 esquerda left_up yes \n", + "283 direita left_up no \n", + "284 esquerda left_low no \n", + "285 esquerda left_low no \n", + "\n", + "[286 rows x 11 columns]" + ] + }, + "execution_count": 7, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df.columns = novas_colunas\n", + "df" + ] + }, + { + "cell_type": "markdown", + "id": "b658b9b9", + "metadata": {}, + "source": [ + "para ver memória utilizada no df" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "id": "527de632", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "RangeIndex: 286 entries, 0 to 285\n", + "Data columns (total 11 columns):\n", + " # Column Non-Null Count Dtype \n", + "--- ------ -------------- ----- \n", + " 0 Id 286 non-null int64 \n", + " 1 Recorrência 286 non-null object\n", + " 2 Idade 286 non-null object\n", + " 3 Menopausa 286 non-null object\n", + " 4 Tamanho-Tumor 286 non-null object\n", + " 5 Numero-Linfonodos 286 non-null object\n", + " 6 Penetração-Capsula-Linfonodo 286 non-null object\n", + " 7 Grau-Malignidade 286 non-null int64 \n", + " 8 Mama 286 non-null object\n", + " 9 Quadrante-Mama 286 non-null object\n", + " 10 Radioterapia 286 non-null object\n", + "dtypes: int64(2), object(9)\n", + "memory usage: 163.9 KB\n" + ] + } + ], + "source": [ + "df.info(memory_usage=\"deep\")" + ] + }, + { + "cell_type": "markdown", + "id": "41097c79", + "metadata": {}, + "source": [ + "para ver se tem nulos, por exemplo" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "id": "f0980c49", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "RangeIndex: 286 entries, 0 to 285\n", + "Data columns (total 11 columns):\n", + " # Column Non-Null Count Dtype \n", + "--- ------ -------------- ----- \n", + " 0 Id 286 non-null int64 \n", + " 1 Recorrência 286 non-null object\n", + " 2 Idade 286 non-null object\n", + " 3 Menopausa 286 non-null object\n", + " 4 Tamanho-Tumor 286 non-null object\n", + " 5 Numero-Linfonodos 286 non-null object\n", + " 6 Penetração-Capsula-Linfonodo 286 non-null object\n", + " 7 Grau-Malignidade 286 non-null int64 \n", + " 8 Mama 286 non-null object\n", + " 9 Quadrante-Mama 286 non-null object\n", + " 10 Radioterapia 286 non-null object\n", + "dtypes: int64(2), object(9)\n", + "memory usage: 24.7+ KB\n" + ] + } + ], + "source": [ + "df.info()" + ] + }, + { + "cell_type": "markdown", + "id": "3e7f2547", + "metadata": {}, + "source": [ + "Imprime as 10 primeiras" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "id": "2dc626b0", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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IdRecorrênciaIdadeMenopausaTamanho-TumorNumero-LinfonodosPenetração-Capsula-LinfonodoGrau-MalignidadeMamaQuadrante-MamaRadioterapia
00no-recurrence-events30-39premeno30-340-2no3esquerdaleft_lowno
11no-recurrence-events40-49premeno20-240-2no2direitaright_upno
22no-recurrence-events40-49premeno20-240-2no2esquerdaleft_lowno
33no-recurrence-events60-69ge4015-190-2no2direitaleft_upno
44no-recurrence-events40-49premeno0-40-2no2direitaright_lowno
55no-recurrence-events60-69ge4015-190-2no2esquerdaleft_lowno
66no-recurrence-events50-59premeno25-290-2no2esquerdaleft_lowno
77no-recurrence-events60-69ge4020-240-2no1esquerdaleft_lowno
88no-recurrence-events40-49premeno50-540-2no2esquerdaleft_lowno
99no-recurrence-events40-49premeno20-240-2no2direitaleft_upno
\n", + "
" + ], + "text/plain": [ + " Id Recorrência Idade Menopausa Tamanho-Tumor Numero-Linfonodos \\\n", + "0 0 no-recurrence-events 30-39 premeno 30-34 0-2 \n", + "1 1 no-recurrence-events 40-49 premeno 20-24 0-2 \n", + "2 2 no-recurrence-events 40-49 premeno 20-24 0-2 \n", + "3 3 no-recurrence-events 60-69 ge40 15-19 0-2 \n", + "4 4 no-recurrence-events 40-49 premeno 0-4 0-2 \n", + "5 5 no-recurrence-events 60-69 ge40 15-19 0-2 \n", + "6 6 no-recurrence-events 50-59 premeno 25-29 0-2 \n", + "7 7 no-recurrence-events 60-69 ge40 20-24 0-2 \n", + "8 8 no-recurrence-events 40-49 premeno 50-54 0-2 \n", + "9 9 no-recurrence-events 40-49 premeno 20-24 0-2 \n", + "\n", + " Penetração-Capsula-Linfonodo Grau-Malignidade Mama Quadrante-Mama \\\n", + "0 no 3 esquerda left_low \n", + "1 no 2 direita right_up \n", + "2 no 2 esquerda left_low \n", + "3 no 2 direita left_up \n", + "4 no 2 direita right_low \n", + "5 no 2 esquerda left_low \n", + "6 no 2 esquerda left_low \n", + "7 no 1 esquerda left_low \n", + "8 no 2 esquerda left_low \n", + "9 no 2 direita left_up \n", + "\n", + " Radioterapia \n", + "0 no \n", + "1 no \n", + "2 no \n", + "3 no \n", + "4 no \n", + "5 no \n", + "6 no \n", + "7 no \n", + "8 no \n", + "9 no " + ] + }, + "execution_count": 10, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df.head(10)" + ] + }, + { + "cell_type": "markdown", + "id": "bd719783", + "metadata": {}, + "source": [ + "para ver as informações do data frame linhas e colunas" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "id": "59a424ed", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "(286, 11)" + ] + }, + "execution_count": 11, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df.shape" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "id": "c943c114", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Contagem do Grau de Malignidade\n", + "Grau-Malignidade\n", + "1 71\n", + "2 130\n", + "3 85\n", + "Name: Grau-Malignidade, dtype: int64\n" + ] + } + ], + "source": [ + "# Agrupar \n", + "dado_agrupado = df.groupby('Grau-Malignidade')\n", + "\n", + "contagem_grau= dado_agrupado['Grau-Malignidade'].count()\n", + "\n", + "print(\"Contagem do Grau de Malignidade\")\n", + "print(contagem_grau)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "id": "284c0b6d", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Verificação da Recorrência\n", + "Recorrência\n", + "no-recurrence-events 201\n", + "recurrence-events 85\n", + "Name: Recorrência, dtype: int64\n" + ] + } + ], + "source": [ + "# Agrupar \n", + "dado_agrupado = df.groupby('Recorrência')\n", + "\n", + "contagem_grau= dado_agrupado['Recorrência'].count()\n", + "\n", + "print(\"Verificação da Recorrência\")\n", + "print(contagem_grau)\n" + ] + }, + { + "cell_type": "markdown", + "id": "0cd2883a", + "metadata": {}, + "source": [ + "\n", + "\n", + "Início dos Gráficos" + ] + }, + { + "cell_type": "markdown", + "id": "0c05231c", + "metadata": {}, + "source": [ + "Gráfico 1 e 2" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "\n", + "# Ajuste do tamanho da figura \n", + "plt.figure(figsize=(12, 5)) \n", + "\n", + "# Dividir a figura em duas colunas\n", + "plt.subplot(1, 2, 1) \n", + "\n", + "cores = ['#FF69B4', '#9370DB', '#FFFF00', '#32CD32', '#FFA500']\n", + "contagem_idade = df['Idade'].value_counts().head()\n", + "plt.bar(contagem_idade.index, contagem_idade.values, color=cores)\n", + "plt.xlabel('Idade')\n", + "plt.ylabel('Quantidade')\n", + "plt.title('Incidência de Câncer de Mama por Idade')\n", + "\n", + "\n", + "# Gráfico de barras para a coluna 'Mama'\n", + "plt.subplot(1, 2, 2) # Segunda coluna da figura\n", + "\n", + "contagem_lado = df['Mama'].value_counts().head()\n", + "plt.bar(contagem_lado.index, contagem_lado.values, color=cores)\n", + "plt.xlabel('Mama')\n", + "plt.title('Existe um lado do seio que seja mais comum o surgimento do nódulo?')\n", + "\n", + "\n", + "plt.tight_layout() \n", + "\n", + "\n", + "plt.show()\n" + ] + }, + { + "cell_type": "markdown", + "id": "93dbb2d6", + "metadata": {}, + "source": [ + "Neste primeiro gráfico podemos ver que as chances de surgimento de tumor maligno é maior após os 40 anos.\n", + "Também pode-se observar que após os 70 anos diminui drásticamente da incidencia do surgimento da doença.\n", + "\n", + "No segundo gráfico eu quis verificar se tem um lado que seja mais comum o aparecimento do tumor, porém não há uma diferença considerável.\n", + "\n" + ] + }, + { + "cell_type": "markdown", + "id": "c993292b", + "metadata": {}, + "source": [ + "Gráfico 3\n", + "\n", + "Este gráfico mapeia a localização do tumor na mama" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "id": "fcdb5675", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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lL7XKyspj3qOz6dJHv7Y/nTKraZrmdDq1Bx54QBs0aJBmNpu1fv36aX/4wx9apgsf5Xa7tQceeEBLSkrSgoKCtJkzZ2q7d+/WBgwY0OrfRtM0bevWrdopp5yiWSwWrX///to///nPLk2Z1TRNKy4u1q699lotNjZWs1gs2ujRo7XFixcf87UL4csUTevmiDQhhFfLysri9NNPZ8+ePS1TfIUQwhvImA4h/MzAgQMJDQ1l3bp1ekcRQohWpOgQfkVRlDYDLTuzevVqFEXp1n4fvZHDU+6//36eeuopDh482O1xJkII0dtkIKnwK4WFhR5dxAmaf5GvXLmS7du3e/S6veHll1+moKCAWbNmMW/ePL3jCCFEK1J0CL/hcDhITEzUO4aujhw5oncEIYTokHSvCJ81c+ZMbr75Zm677TZiY2OZN29em26NDRs2MG7cOGw2GxMnTmTlypUoitKm1WLr1q1MnDiR4OBgJk+e3LKY1ZIlS3jggQfYsWNHy9bzS5Ys6XbWXbt2tWz3HhMTw0033dTS/bF7924MBgOlpaUAVFRUYDAYuOSSS1qe//DDDzN16tRu31cIIbyJFB3Cpy1duhSLxcL69et59tlnWx2rqanhrLPOYvTo0Wzbto2HHnqIu+66q93r3HPPPfzjH/9gy5YtmEwmrrvuOgAuvvhi7rjjDkaNGkVhYSGFhYVcfPHF3cpYX1/PvHnziIqKYvPmzbz99tt88cUX3HzzzQCMGjWKmJiYlk2+1q5d2+pzgDVr1jBz5sxu3VcIIbyNFB3Cpw0dOpS//vWvpKent9k8bNmyZSiKwvPPP8/IkSM544wz+N3vftfudR555BFmzJjByJEjufvuu9mwYQNNTU0EBQURGhqKyWQiMTGRxMTEVju/dsWyZctoamri5Zdf5oQTTmD27Nk89dRTvPLKKxQXF6MoCtOnT2f16tVA8+DWa6+9Frvdzv79+3E6nWzYsEFWqRRC+DwpOoRPmzBhQofHMjIyWnaEPeqnW67/1JgxY1r+PykpCYCSkhKPZNy3bx9jx45ttWX9lClTUFW1pRtnxowZLUXHmjVrmD17dkshsnnzZpxOJ1OmTPFIHiGE0IsUHcKn/fQX+fEwm80t/390H5S+3Hl15syZ7N27l4MHD7J3716mTp3KzJkzWb16NWvWrGkZbyKEEL5Mig7ht9LT09m1a1erjcs2b97c7etYLJbj2q58xIgR7Nixg/r6+pbH1q9fj8FgaOkSGj16NFFRUTz88MOMGzeO0NBQZs6cyZo1a1i9erWM5xBC+AUpOoTfuuyyy1BVlZtuuol9+/bx6aef8ve//x2g3V1dOzJw4EAyMzPZvn07ZWVlrYqYrrj88sux2WxcffXV7N69m6+//ppbbrmFK6+8koSEhJY806dP57XXXmspMMaMGYPdbufLL7+U8RxCCL8gRYfwW+Hh4XzwwQds376dcePGcc8993DfffcBtBrncSznn38+8+fPZ9asWcTFxfH66693K0dwcDCffvopFRUVnHTSSVxwwQWcdtppPPXUU63OmzFjBm63u6XoMBgMTJ8+HUVRZDyHEMIvyIZvIqC89tprXHvttVRXV3d7FooQQojjIyuSCr/28ssvM3jwYFJSUtixYwd33XUXF110kRQcQgihA+leEX6tqKiIK664ghEjRnD77bdz4YUX8txzzx3XNV977TVCQ0Pb/Rg1apSHkgshhP+R7hUhuqm2tpbi4uJ2j5nNZgYMGNDHiYQQwjdI0SGEEEKIPiHdK0IIIYToE1J0CCGEEKJPSNEhhBBCiD4hRYcQQggh+oQUHUIIIYToE1J0CCGEEKJPSNEhhBBCiD4hRYcQQggh+oQUHUIIIYToE7LhmxABSnM6cdfVodbU4K6tQ62rRa2rQ1NVFIMBFAUUAyj87HMFxaC0/txkxBAWhjEiEmNUJAaLRe+XJ4TwQlJ0COEHNKcTZ3EJrsICnEVFOIuKcFdVodbU4q6rRa2tw11bg1pbh1pbi7u2Fq2pqdfyKEFBGCMjMUZEdPzfqEiMUVGYk1MwxcehKEqv5RFCeAfZe0UIH6BpGq7iYhw5OThzc3Fk5+DMy8WRn4+rsAhXWRmoqt4xe0yxWjEnJ2NOScGcmoIlNZX8SYOxJqfQP7w/QaYgvSP6JUVRWLFiBYsWLerS+atXr2bWrFlUVlYSGRnZq9mEf5KWDiG8jKu0lKa9e3/42If9yBGceXlodrve0XqNZrfjyMzEkZnZ8tiSW4fyeUgmCgpxwXEMCB/A4IjBpEenMzxqOEOjhmIz2XRM7fsKCwuJiory6DXvv/9+Vq5cyfbt2z16XeEfpOgQQkeOvHya9u5pLjD27aNp717cpWV6x/IKu2ylAGholDSUUNJQwuaizS3HjYqR/uH9SY9KJz06veW/8cHxekX2KQ6Hg8TERL1jiAAjs1eE6AOapmE/kkn1B6so/uvfyL7mWjJOmcThOXPIv/U3lD/7P+rXfCMFxw+U8HCKjHWdnuPW3GRWZ/JJ1ic8ue1JfvXlrzjt7dOY+eZMfvPVb1i6Zyk7SnfgVJ19lNq7zZw5k5tvvpnbbruN2NhY5s2bh6IorFy5suWcDRs2MG7cOGw2GxMnTmTlypUoitKm1WLr1q1MnDiR4OBgJk+eTEZGBgBLlizhgQceYMeOHSiKgqIoLFmypNNcWVlZbe5RVVWFoiisXr0aaO7WURSFDz/8kDFjxmCz2Zg0aRK7d+/2wFdG9CVp6RCilzjz86n/9lvqN3xL/aZNuMvL9Y7kM9SUOCC7R88tbyrnq9yv+Cr3KwBsRhsnxJ7A+PjxjI8fz7j4cYRZwjyY1ncsXbqUX/7yl6xfvx6A4cOHtxyrqanhrLPOYsGCBSxbtozs7Gxuu+22dq9zzz338I9//IO4uDj+7//+j+uuu47169dz8cUXs3v3bj755BO++OILACIiIjyW/3e/+x1PPvkkiYmJ/PGPf+Sss87iwIEDmM1mj91D9C4pOoTwEFdlJQ2bNjUXGRs34szJ0TuSz6qP91xR0ORuYkvxFrYUbwHAoBgYEjmEU5JOYWryVCYmTsRiDIwpvkOHDuWvf/1ru8eWLVuGoig8//zz2Gw2Ro4cSX5+PjfeeGObcx955BFmzJgBwN13383ChQtpamoiKCiI0NBQTCZTr3Td/PnPf+b0008Hmguo1NRUVqxYwUUXXeTxe4neIUWHED2kNjbSsGVrc2vGxm+x79sPMhnMI7KsvTedV9VUDlQe4EDlAV7Z+wpBpiAmJExgaspUpiRPYWDEwF67t94mTJjQ4bGMjIyWroujTj755HbPHTNmTMv/JyUlAVBSUkL//v09lLR9p556asv/R0dHk56ezr59+3r1nsKzpOgQohscOTnUfPIp9WvX0rh9O5pTxgv0hi2O/D67V6OrkXX561iXvw6AlNAUpiRPYUrKFE5NPtWvpuuGhIR45Do/7c44ur6K2sMp2wZD89DCn67e4JSfK78lRYcQx+DIzaXm40+o/eQTmvbu1TtOQChPNgONutw7vy6ftw68xVsH3iLIFMTUlKmcPuB0ZqTOINgcrEumvpCens6rr76K3W7HarUCsHnz5mM8qy2LxYLb7e7y+XFxcUDz9N3x48cDdDjdduPGjS2tKZWVlRw4cIARI0Z0O6PQjxQdQrTDkZdH7SefUPPxJzTt2aN3nICTFd173Svd0ehq5PPsz/k8+3NsRhuTkyczd+BcZvabSYjZM60G3uKyyy7jnnvu4aabbuLuu+8mJyeHv//97wDdWi124MCBZGZmsn37dlJTUwkLC2spYtoTFBTEpEmTeOyxxxg0aBAlJSXce++97Z774IMPEhMTQ0JCAvfccw+xsbFdXthMeAcpOoT4gTM/n5qjhYZMxdONy2yiOMyhd4w2mtxNLbNiLAYLk1MmM3fAXGb3n+0XBUh4eDgffPABv/zlLxk3bhyjR4/mvvvu47LLLms1zuNYzj//fJYvX86sWbOoqqpi8eLFXHPNNZ0+56WXXuL6669nwoQJpKen89e//pW5c+e2Oe+xxx7jN7/5DQcPHmTcuHF88MEHWGSfH58iy6CLgOYsLKTmo4+p+fRTmnbu1DuOACpiw/i/G/XpWumJIFMQpw84nUVDFjExYaJf7SHz2muvce2111JdXU1QkH5jW2T5df8hLR0i4GguF7VffUXVW29Tv2GDT+9Z4o8qIq3oNZ6jJxpdjbx/+H3eP/w+/cL6cU7aOZwz5BwSQ3xvtc+XX36ZwYMHk5KSwo4dO7jrrru46KKLdC04hH+RokMEDEduLlVvvU3VyhWy8qcXK40y6h2hx3Jrc3lq+1M8veNpJiVN4twh5zK7/2yfWQekqKiI++67j6KiIpKSkrjwwgt55JFHjuuar732Gr/4xS/aPTZgwAD2yJipgCLdK8KvqapG5o5SlFf+hf3j92QdDR+w4vQEXp/oP6u3RlgjOCftHC4dfimpYal6x+lztbW1FBcXt3vMbDYzYMCAPk4k9CRFR4Dr7tbWvqKx1sGedQXs+Safuko7o2PyiXv3L3rHEl3wn4tjWDu4Wu8YHmdQDMxMnckVI6/gpMST9I4jhC6ke8XHDBw4kNtuu63DPRECXUl2DTu/yuPQ1hLcrh/HamS5BxBrMKKoXV8/QOgjO8r7Zq54gqqpLbNf0qPSuXzE5SwcvNBnul6E8AQpOvyQ2+1GUZSWlf4CQd7+CrZ8nE1+RmW7x2urXBxKncDQnO/6OJnoDrfRQF6E7wwi7amMygzu23AfT2x7gguGXcAl6ZcQFxyndywhel3g/FbqI6qq8te//pUhQ4ZgtVrp379/y0Cs3NxcLrroIiIjI4mOjuacc84hKyur5bnXXHMNixYt4u9//ztJSUnExMTw61//umVJ4JkzZ5Kdnc3tt9/esm00NG8nHRkZyfvvv8/IkSOxWq3k5OSwefNmTj/9dGJjY4mIiGDGjBls27atz78mvSlrZxnvPL6F957Y3mHBcVTxgNl9lEr0VF14EGoAvStVNFXw3M7nmPvuXO7fcD+5tbl6RxKiVwXQj3ff+MMf/sBjjz3Gn/70J/bu3cuyZctISEjA6XQyb948wsLCWLt2LevXryc0NJT58+fjcPzYnPz1119z+PBhvv76a5YuXcqSJUtYsmQJAMuXLyc1NZUHH3yQwsJCCgsLW57X0NDA448/zgsvvMCePXuIj4+ntraWq6++mnXr1rFx40aGDh3KggULqK2t7esvi0dpqsbBLcW88fB3fPj0Tooza7r0PIcxlZqolF5OJ45HZWTXF6HyJy7VxbsH3+XsFWdzz7p7yKrO0juSEL1Culc8qLa2lieffJKnnnqKq6++GoC0tDSmTp3Kq6++iqqqvPDCCy0tFIsXLyYyMpLVq1e3rL4XFRXFU089hdFoZPjw4SxcuJAvv/ySG2+8kejoaIxGI2FhYW22jXY6nTz99NOMHTu25bHZs1v/Zf/cc88RGRnJmjVrOPPMM3vzS9Er3G6VA5uK2PZpDlXFDT24gsLh9DMYv/EFj2cTnlEWGdhvSS7NxfuH32fVkVXMGziPm0bfxJCoIXrHEsJjAvsn3MP27duH3W7ntNNOa3Nsx44dHDp0iLCwsFaPNzU1cfjw4ZbPR40ahdH44zoFSUlJ7Nq165j3tlgsrbabBiguLubee+9l9erVlJSU4Ha7aWhoICcnp7svTVcup5u96wr5/vNs6irsx3WtqqCRuIwmTG6Xh9IJTyqK0juBd1A1lY8zP+aTzE+YM2AOvxjzC9Kj0/WOJcRxk6LDgzpbta+uro4JEybw2muvtTl2dJdFaL1lNDRPae3KltFBQUFtll+++uqrKS8v58knn2TAgAFYrVZOPfXUVt053kxVNfatL+C7VZk0VHsms6ZZyU6fTdrezzxyPeFZBVGyOuxPaWh8nv05X2R/wax+s7j1xFtJi0zTO5YQPSZFhwcNHTqUoKAgvvzyS2644YZWx0488UTefPNN4uPjCQ8P7/E9urNt9Pr163n66adZsGAB0DyQtazMN1bizNpVxrcrDlNRUO/xaxcmTJaiw0tlRR1fS5a/0tD4Kvcr1uSt4ay0s/j1uF/75DLrQshAUg+y2Wzcdddd/P73v+fll1/m8OHDbNy4kRdffJHLL7+c2NhYzjnnHNauXUtmZiarV6/m1ltvJS8vr8v3GDhwIN988w35+fnHLCCGDh3KK6+8wr59+9i0aROXX3651++hUJpTy3tPfM+H/93ZKwUHgEOLozxe+sm9jaYoZEf5/3TZ4+HW3Kw8tJIzV5zJP7b8gxpH1wZRC+EtpOjwsD/96U/ccccd3HfffYwYMYKLL76YkpISgoOD+eabb+jfvz/nnXceI0aM4Prrr6epqalbLR8PPvggWVlZpKWlteqWac+LL75IZWUlJ554IldeeSW33nor8fHxx/sSe0VtRRNfLN7LW49uJm9/51NfPSFz6Lxev4fonvqwIJwmWSC5K+xuO0v2LGHB8gW8uvdVnKpT70hCdIksgy505Wh0sfWTbHZ8lYvb2Yf9+YqLqevvwuJo6rt7ik7l9Yvmt1fIX+490T+sP7dPuJ05A+boHUWITknRIXShulV2f1PAlo8yaazV56+05IrPGL7zPV3uLdraMSaeRxZW6B3Dp52adCp/POWPDIwYqHcUIdol3SuizxUerubNRzaz9s0DuhUcACWxJ+t2b9FWUaRy7JNEp74t/Jbz3j+Pf2/7N00uacUT3keKDtFn7I0uVi/LYPnft/baINHucKmRFKWO1juG+EFBtEyX9QSn6uT5Xc+z6L1FrM5drXccIVqRokP0iUNbS1h2/0b2fJMPXtShlz1I+sC9RU6UDIb0pPy6fG756hZu+fIW8uvy9Y4jBCDrdIheVlvRxDevZ5C1q1zvKO2qNw2iMSiCoMZqvaMEvCyZLtsrVuetZmPhRm4ccyPXjroWs9F87CcJ0UtkIKnoFaqqsfOrXL77IBOnvWuLmeklvnYtJ2x9Q+8YAa0x2MbVv5Gl6Xvb0KihPDLlEUbEjNA7ighQ0r0iPK40p5Z3HtvC+ncOeX3BAVAWcSIymkBf1QG6u2xfO1h5kMs+vIz/bv+vrO0hdCFFh/AYt1Nl/buHePuxzZTm1Oodp8tUNYT8wZP0jhHQyqIsekcIGC7NxbM7nuWyDy8joyJD7zgiwEjRITyiLK+Otx7dzPbPc9B8sNkgr99MvSMEtNJIeSvqa/sr9nPJh5fw7I5ncanStSX6hvyki+OiqRrff5bDO49t9oppsD3VqKRQG56gd4yAJbvL6sOluvjv9v9y+UeXc7DyoN5xRACQokP0WG1FE+898T0blh/C7fL18cgGjgw/Q+8QAStXpsvqam/5Xi5edTEv73lZ7yjCz0nRIXrk0NYS3nhoE/kHqvSO4jEVoaNRFfmR0ENmtKyeqTen6uRvW/7GzV/eTFVTld5xhJ+Sd1jRLS6Hm69f3cenz+/G0ej9M1O6Q1NtZA2bqXeMgGO3WqgMlpYOb7Embw0XfHABW4u36h1F+CEpOkSXlefX8cYj37F3XaHeUXpNYfJUvSMEnJrIIL0jiJ8pbijm+k+v59kdz6L64shw4bWk6BBdsvubfN76y2aqi/171Ui7Fk9l7EC9YwSUikiZLuuN3Jqb/27/Lzd9fhNljWV6xxF+QooO0Sm3S+WLJXtYsywD1e3rg0W7QuHIsHl6hwgoJVHyNuTNNhVu4vz3z2dD/ga9owg/ID/tokP11XbeemwTGRuL9Y7Sp2qsI3CarHrHCBiFUXonEMdS0VTBL7/8JS/sekHvKMLHSdEh2lVwuJLX7t9ARZ5/d6e0R9PMZA6X3Wf7Sl6kLEzlC1RN5cltT/K7Nb+j0RV47wvCM6ToEG1s+yKTFX/fhrMxELpT2lccL8ui95WsGJku60s+yfqEqz6+ioK6Ar2jCB8kRYdo4XarfPDsFr59JxM0Re84unKq0ZQkyU6cvc1lMlIUZtc7huim/RX7ufTDS9lctFnvKMLHSNEhAKirbuLVB9aSs71G7yheIzvtdL0j+L2ayGC9I4geqmiq4KbPbuL1/a/rHUX4ECk6BPkHy3n1z+upK/Gvxb6OV605DbstVO8Yfq0yQgbs+jKX5uIvm/7C/Rvux+mWBd7EsUnREeB2fJPJyn9ux90U2N0p7dJMHBkxX+8Ufq00yqh3BOEB7x58l19+8UvqHHV6RxFeToqOALb6nZ2sXXYk4MdvdKYkaqLeEfxakUyX9RubijZx9SdXU9JQoncU4cWk6AhAmqax4pn17PmiDAUpODrjVsPIHzBB7xh+Ky9Kpsv6kwOVB7jioys4XHVY7yjCS0nREWCaGu28/MgXFOyQGQNdlTtgtt4R/FZ2lEPvCMLDCusLuerjq9hWvE3vKMILSdHhYY899hijRo0iODiYYcOGsWzZMr0jtSgvqWTJA19Slyf96N3RYOhPfWi03jH8jmowkBshi0z5oxpHDTd9fhOfZ3+udxThZaTo8LC1a9fyr3/9i927d3PFFVdw1VVXceTIEb1jcSQjm2V/WY+7yqZ3FB9k4MjwBXqH8Du14UGoUv/6Lbvbzp1r7uS1fa/pHUV4EUXTtMBddrKXVVRUEBMTw9q1a5k6Vb8t03d+t5/VSw9jdMsW4j1lMDQw/eu7MMg23x6TPTCG311arXcM0QduHH0jt554q94xhBeQlo5eomkad9xxByeccAInn3yybjk2fPk9qxdnSsFxnFQ1mNwhU/SO4VfKIk16RxB95Pldz/OPLf/QO4bwAlJ09JIbbriBDRs28Mknn2CxWPr8/pqm8cV7G9jydglGTRZg8oT8lOl6R/ArRTJMJqAs2bOEx757TO8YQmfyp0Yv2Lx5My+99BL79+8nJSWlz+/vdrv56K01ZK5xYsTc5/f3V00kUROVQnhlvt5R/EJ+lHRVBZrX9r2Gw+3gT5P+hKLIdP1AJC0dvaCgoHn3xfT09D6/t9PhZPkrn5G5xiEFh8cpHE4/Q+8QfiM7SqZtB6K3D7zNfRvuQ5XxUQFJio5eMGPGDDZv7vvdFxsaGnnzpVUUbAQjfd+lEwiqgkbiMkoD4fHSFIWsKJkuG6hWHlrJPevuwa3Kfk+BRoqOXvD1119zxRVX9Ok9a6pref259yj/3oYJGcPRWzTNSlb6aXrH8Hn1oTacJpk4F8hWHVnFXWvvwqXKqrSBRIqOXlBdXU1GRkaf3a+stIJX/7ecun3hmBQpOHpbYcJkvSP4vKpImU0l4NOsT/njuj9KV0sAkaKjF1xzzTX01fInZaUVvP7CShyH4zApsvBXX3BqsZQlDNU7hk8rl+my4gcfZ37MIxsf0TuG6CNSdPiw8rIK3njpPdxZCZil4OhTWUPm6h3BpxVHyVuP+NFbB97iX1v/pXcM0QfkJ99HVZRX8saL7+E6Eo9ZkabqvlZjGYbDEqx3DJ9VECUDCEVrL+1+iRd2vaB3DNHLpOjwQZUVVbz+0gocR2Kl4NCLZuLIcGnt6KmcaKfeEYQXenLbk7yV8ZbeMUQvkqLDx1RX1fD60hU0HYrCooToHSeglcTqt7y9r8uU6bKiA49seoQPj3yodwzRS6To8CHV1TUsW/oudftDsCkRescJeC41gqJ+Y/SO4XMag63UW6V7RbRP1VTuXXcvq3NX6x1F9AIpOnxETXUtb768nMq9JkKUWL3jiB9kD5yjdwSfUy3TZcUxuDQXv1vzO3aU7tA7ivAwKTp8QG1NHW++upy87QVEKH2/l4voWL1pII1B0urUHeWRslquOLYmdxO3fnUruTW5ekcRHiRFh5err6vnzVdXkLl5PRF13+IyfKd3JPFTmpHDI2U/lu4oiZSNvkTXVDRV8Ksvf0W1vVrvKMJDpOjwYg67gxVvf8jBzRuJaSwENFzl63DyOZqs4Oc1yiJORP41uq4gSpY/F12XVZPFk+sfAJdD7yjCA6To8FJut5sP3/uM7eu/Ja4pH/jxjdpduQunthIN2bPAG6hqCPmDJ+kdw2fkRcv3rei6GZEjuHPTm/DBb/SOIjxAig4vpGkaX36yhi/WbCY/rD+K0rY5Wq3Owul4A40GHRKKn8vrN1PvCD4jM1qmy4quuTxyDE9u/4Jgex3sWAbrZNVSXydFhxdav2Yjn378NdvCR/GtdRgfpCxCtbZdk0OtL8HRuAxNqdAhpfipRiWF2vAEvWN4PYfVTEWwLAwmOmdUjPwhdAR3f78Ko/aT6dVfPAD7VukXTBw3KTq8zI6tW/nXow+z3hFNodZcaGQZY3kt8QIcoXFtzteaarDXvoFqyOvrqKIVA0eGy4DSY6mOkOmyonPBpmD+rSRx2a5P2zmqwfKboHBnn+cSniFFhxc5cuggK99+k9qUsRRFD2t1rMoQzIuxi6iOHtz2ic4mHJXLcRsy+iipaE9F6GhURX6kOlMRZdU7gvBiwW4rL1WrTD+8oeOTnPXw+qVQW9x3wYTHyDuklygtLuadZa9xuMbAofhT2z3HpZh4OWIe2Qkntj2ounBWfITLsLmXk4qOaKqNrGEz9Y7h1Uoj5S1HtC+qycqSzCxGlRw49sk1efDOtaDKyra+Rt4BvEB1TS3/+Ovf2JNZyJaISajH+Gd5P/gUtqScBgZT6wOahqt8LU6+7MW0ojOFyVN75bpuTePfZaWcfuQw4w9kMO/IYZ4pK0PTujb9dFtDA6Mz9nNuVmarxz+oqWb24UNMOniAx0ta/+WY73RwxpHD1Lk998ZeKNNlRTsG1FpZkX+YEcZujPfJXg+rH+29UKJXSNGhM6fTxevvf8KmnfvZGHIyDZq5S8/71jKMj1PPQrO07SN3V+7Aoa5E02RqYl+za/FUxg70+HVfqCjnjaoq7o1PYNWgQfw2Lo4XKyp4tarymM+tcbv5Q1Ehk4JbD0audLm4r6iI38XF83xqPz6oqWF1XV3L8QeLi/ltXDyhRqPHXkdelHxPitZOLDWwovQgMYYerHaz9h9w+GvPhxK9RooOHWmaxqovv+GbjVsxnHQB9tDEbj3/kDGR15POxxUS3eaYWn0Ep+tNNGR6Yt9SODJsnsevur2xkdmhocwIDSXFbGFeWDhTQoLZ1dh0zOc+UFzEwvBwxgbZWj2e63QSajBwRng4o4OCODk4mMMOOwAf1tRgUhRODwvz6OvIirZ79HrCdymawtm5DpbWZWHu6SK1mgrLb5TxHT5Eig4dbfp+Fx98vgY1sh+H1Z5t4lZuCOOl2POoixzQ5phaV/zDlNqq40wquqPGOgKnybMDJscFBbGxvp4sR/OqjPubmtjW2Mi00LZTqX9qeXUVeU4nv4pp+/01wGKhSdPY29REldvN7qYm0q1Wqt1u/l1Wyr3xnp0C7DIZKQw9dpEk/J9JNXJrVg2PuIqO/2L1pbD8BlBlXWBfIEWHTg5l5bBs5Uc4DWZ2qP2Anu9HYTeYWRy1gPz4sW2OaU3V2GtfR1UKjiOt6A5NM5M53LO7z94YHcOC8HAWZh5hTMZ+zs/O4sqoaM4K73izuSyHg3+VlvJ4UjKmdhaYizAaeTQxiT8UFnJxdhZnh4czNSSUv5WWcHlkFPlOJ+dlZXJ25hE+ra057tdQGxEMBtl3JdAFuyz8LbOYGzh212CXZX4D3/zVc9cTvcZ07FOEp5VVVLH07Q8or6wmJ3oCjXbP9JkvD5nM9OQoxhatbT2q29mIo/odzJHzMarDOr6A8Jji+EkM40OPXe+T2lpW1dTwt6Rkhlgt7G+y82hJMfEmE4si2hYebk3j94UF/Do2loGWjnd1nRMWxpyfdKFsbmjggN3OPfEJzD9yhL8nJxNrMnJxdjYTg4KJMfX8LaMy0grS3RfQoptsPJeXSXp3Box21ZrHYcBkGDTd89cWHiMtHX2syW7nlXc/4GBmNq7EUeTaPbtY0jfWEXyRshDN3Lr/HrcLZ8WHuA1bPXo/0T6nGk1J0giPXe/vpSXc8ENrxzCrjbMjIrg6OprnK8rbPb9eVdnd1MQjxcWMztjP6Iz9PFNeTobdzuiM/Wysr2/zHIeq8mBxEfcnJJLjcOBG46TgYAZZrAy0WNjZdHwFQ0mU5wakCt8zoMbCyvxDvVNwQPP4jndvhLrS3rm+8AgpOvqQpml8+OVavtuxh+jUwWypjeyV++wzpfBW8vm4g392fU3DWb4GlyKjvftCdtrpHrtWo9p2IrUBBbWDKbOhBgPvDRzE8p98XBwZySCLheUDBzEmqG2x+2xFOVNDQhhps+EGXD+5tlPTcB/nbNfiyON7vvBdE0sMrCg7RFRPZqh0R11R88BSGd/htaTo6EM79x3k46/XEx0dzbcNibiPYxzHsZQYwlkcdx4NEaltjrkqvsepvo+mycI6vanWnIbdFuqRa80KDeV/FeWsqasj3+ngi9pallZWtOoa+WdpCXcXNo/dMSgKQ63WVh/RRiOWHx4PNrT+0T9kt/NxTQ23xDYvtT/YYsGgKLxbVcWaujoyHQ5G237WetZNedHy/RZoFE1hUa6DxfXHMUOlu458Dev+0Uc3E90lRUcfqaiq5s0PPsHhdJJpHkClq2vrcRyPRoOVF6MWUhQ3qs0xd/UhnK630JDZBL1GM3FkxHyPXOqehATmhoXxYHERZ2Zm8rfSEi6KiGwpEgDKXC4Knd1vutY0jfuLi7grPqGlGLEZDPwlMYmny8u4t6iQe+MTSDAf3/dsdpRMlw0kZtXE7Vk1POSJGSrd9fWjkLW+7+8rjknRurqkoegxt9vNC2+s4Ov13xHSfyRfVrXduK23nWbfxcjCDc39nj+hBEViCTofRet4FoToOaOhlhlf3a13DN2pBgOX3WlAlWEdASHYZeGx7AJmGRr0CxGWDL/eCDZ5b/Mm0tLRB77ZtI11m7YRn9yP9TVtF/LqC19aR7M6dQHaz9aP0BqrsNe9jmrQ4a+RAOBWw8gfMEHvGLqrCw+SgiNAxDTZeCU7W9+CA6C2AD77k74ZRBtSdPSy7LwCln/8JbagILY5k2nS8Z13l6kfy5PPxR0U3vqAowFH1du4DYf0CebncgfM1juC7iojj288iPANg2osrMg/xDBDL81Q6a5tLzev4SG8hhQdvaixqYllKz+mrLKKmvDB5Nn1f+MtMEaxNOF8msKTWh9wO3FWrMJt+F6fYH6swdCf+tCerTjrL8oiZUkgf3dSidI3M1S6RYP3bwWnrA/jLaTo6CWapvHB52vYsfcAsamD2VLrPf2K9YqNF6LPpixmeOsDmoqz/Gtcyhp9gvktg8cGlPqqoii9E4jeomgK5+Xaeak+G6M3LjhbmQlfP6J3CvED+fOjl2zfm8GnazaQGB/DxobYXp0e2xOaYuD18FnMtUSRXrQRfjKe2FWxFS2yFhNnoCjSEe8J5WHjUJVlGDRv+iuw7+RH9f7rrs+op+yjMhqzG3FVueh/S3/CJ/zYlVi9pZqKrytoymrCXe8m7YE0ggZ0vjhf5dpK8l/Mb/WYYlIY9cKPM8LKPi6j9KPmBaniFsQRe8aPrVoNhxsoeLmAtPvSULzyN/LxMasmfpNdwdVU6R2lc98+DaPOg5QT9U4S8KTo6AVlFVW8+f6nuNwqlbZkiqo8u/mXJ31mG0dZSiRTCr8A94/9sO6qA2hhdZhN56Lgvfl9haoGkTNkKgMPBmb/cm6Uo9fvodpVbP1tRE2PIuc/Oe0eDxkWQsTJERQs7vpeRIYgA0MfHdryufKTfWyacpsoXlHMgNuaN1zM/lc2oSeEYutnQ3NrFCwtIPmaZL8sOEJcVh7Lzmem3gNGu0Jzw/u3wE2rwdj7yxWIjkn3ioe5XC7eWvUZmbn5pKSm8l1N+LGfpLNt5oG8l3Iu6s8WslJrC3A0LUNTjn+zLwEFKdP0jqALTVHIjOr9X0xhY8JIOD+hVevGT0VNiSL+nHhCR3Z/wTZzpLnlwxTx499q9kI7tlQboSNDCR3ZXGzYC5vXIyn7uIyQ9BCCBwf37AV5seYZKlm+UXAcVbwb1j2hd4qAJ0WHh63+dgsbtnzPoH4pbK+PotFH5gnmGGN4OeECHKHxrR7XGitx1C1DNRTrlMx/NJFEdVSK3jH6XEOoDYfZd5cDUu0qGXdksP+3+8l+Mpum/B8X1LOmWnEUO3CUO3CUObAX2bGmWrGX2KlcW0n8efGdXNk3Dapu3kNlqLfMUOmOb/4GpRl6pwhoUnR4UGZOPis++YrQkBCazBHsa/Ctv3BqDUG8ELuIyughrR7XfphSqxqO6JTMXygcST9D7xB9rsqHp8tak6ykXJ9C/1v70++mfqDCkYeP4Kxo/oVrS7aRcH4CWX/LIuvvWSRekIgt2UbBkgISL0qkbncdB+85yKH7DlGf0XaTPV9zSonCivJDRHrVDJVucNubu1lkbxbdSNHhIU6ni7c//JyKqhqSE+JZXx2B5mWDR7vCrRh5NeJ0jiScBD/N73bgqHgft2GHbtn8QVXQSFzGwBpKVRbpu33owUOCiZoSRdCAIEKGh9D/lv6YwkxUfF3Rck707GiGPTaMYY8NI3p2NJXrKjHYDAQPCSb/pXz639KfxEsTyX0mF9Xpm7/sFE3hghw7L3jrDJXuyN0Em5/XO0XAkqLDQ9Zv2c6OvRkMHpBCRmMIpU6L3pGOy4fBE9mUOgd++gtSU3GWf4lLWatfMB+naVay0k/TO0afKon0n7cZxaRg62/DUdL+wFhXrYuS90pIviKZhiMNWBOtWBOthI4IRXNrOIp6f0Ctp5lVE7/LrOLPbj/qYv3yQahqO9hY9D7/eTfQUVlFFR98voagIBuYg9niA4NHu+I78xBWpZyDZm3dTeSq2IxT+xAtQKd/Hq/ChMl6R+hTBdH+832iqRpNeU2YOljsrHBZIbFzYzFHm0EFzf3jWBbNraGpvjW2JcRl5V+ZhVypVOsdxbMcdfDJH/ROEZACq523F2iaxkdfrSWvsJiRw9JYVxOOXfOfWi7TGM+riRdwSdlHmOvLWh53V2WghdVjNi1CQb9Wnfteu4yKurZ/gU0beTYXT/tNm8e3H1nLp98vo6wmH7fqJi4ihdPGXMjJw05vOeeLHW/xxfY3ATh93MWcNvailmNZxft4c92T3HnufzEaejZI2KnFUpYwlNjigz16vq/J7oPpsgDuJjeO4h/v5Shz0JjdiDHUiCXGgqvOhbPciavK1Xz8h1YHU4QJ8w9dQHnP5WGKMpF4YSIAJe+VEJQWhDXeirvBTdnHZTjLnURNb7vaWd3uOhzFDlJvTAUgaFAQ9kI7tTtrcVY4UQwK1iTfmX4e22jjhYIjpBlcekfpHftXNe9EO3CK3kkCihQdx2nvwSOs2biVlKR4Sl02DjZ2vtiQL6oyhPBi3LlcZvmC8MrMlsfV2jwcwcuw2M5H0cJ0yfa7855u1eJSUJHJUx/+nvFpM9o9P9gWxvwTLychsh9Gg5ndOd/y6uq/EhoUych+J5FffpgPtyzh/+Y/AprGs5/cw/DUiaTEDMatunlj7RNcOv32HhccR2UNmRswRUdWVN8sQd2Y2UjW41ktnxe93ryJYeSUSFJvTKX2+9pWC33lPpMLQNw5cSScmwCAo9zReihTvZuCxQW4ql0Yg43YBtoYfO9gbCmtB8eqDpWCVwvo98t+KIbmC5ijzSRdkUT+C/koZoXUG1IxWHzjD5K0agsvlx8k3OBbLTPd9tm9cONXoPj6QBXfIUXHcbDbHaz85GvsDgeRERGsKI0AHxw82hVOxcTSyPksMm+kX8mP+7NoDRU43Mswh5yLQev76YFhQZGtPv/s+9eJDU9maNLYds8fljyu1eezRp/PpgOfcaRoNyP7nURxVS4p0YNJTxkPQHLM4ObHYgbzxY43GZI0mgHxw9u5cvfUWIbhsARjcfjQOgc90Bhspc7m7pN7hY4I5YQlJ3R4PGpaFFHTOl+PffAfBrf6POmyJJIuS+rg7B8ZLAaGPTaszePRM6KJnqHPztI9dWoxPFN/yPcHjHZFwTbY9Q6MuVDvJAHDN8puL7Vm01b2HDjEwH4p7KkPodLlu6P0u2plyCS2pcyGn/ylr9nrcdS8hWrI0i8Y4HI72XzoC05Nn99q1ciOaJpGRt42SqrySEsaDUBy9CBKqvOoqC2moraYkqo8kqMHUlpdwMaMTzjzpOs8E1YzcWT4XM9cy4tVR/pfy5+/MmgKF+fYea4hJzAKjqO+fBCcTcc+T3iEtHT0UFFpOR9++Q1hoSG4TTa2VejTvaCH9ZZ0SlMjmFv0CYrjh6ZzlwNH5XuYo2ZjVEfrkmtn1noa7XWckj6v0/Ma7XXc8+rFuFQnBsXAxVN/w4jUiQAkRg3grJOv56kPfw/A2afcQGLUAP6z6ncsOuUm9uVt5qMtL2M0mLhg8q8Zkjymx3lLYk9mOCt7/HxfUOHD02UDiVk18duscq7wtwGjXVGdA5uegam3650kIEjR0QPNO8iupqi0nFHD0lhXE4bTjwaPdsUBYyIVSedzYelHmBp+WLNAdeMs/xwtpgaT2veDszbs/5iR/U4mMqTzbeStlmD+cMFz2J2NZORvY/m3zxATntTS9TJt5FlMG3lWy/kbMz7Fag5iUMJIHnrzGn533tNU1ZXy0pcP88Blr2I29mwgrUuNoKjfGBJzd/bo+b6gJNI3VuQNZKEuK3/LzmWqIYD/2l/7Txh/FYTE6J3E7wXWb0oP2bH3ABu27KBfciJ1qpmDPrbyqKeUGcJ4Ke486iP7t3rcVb4Jp/Zxn06pragtJiN/G5NHLDjmuQbFQFxECqmxQzht7EWMGzydz75/vd1z6xqr+XjrK1w45RaySvYTH5FKfEQqw1LGo6ouSqryjit39sA5x/V8b1fQB7vLip6La7SxLDszsAsOAHsNrH5U7xQBQYqObmpobGLlZ1/jVt1EhofxfW2YT6486il2g5mXohZSEN+6m8FdtQ+n+i4afTNd8tuMTwgLimRU/0ndfq6mabjc7e8j8e63TzNrzPlEhcahaSpu9cdBkW7VfdyFVb1pII1BEcd1DW+WG+2n0y39wJAqMysLDzLIX6fEdtfWxVAWGDPK9CRFRzd9veE7Mg5lMjA1hSqXkUN+OEW2J94NmcLO5Bmg/Pgtpdbk4rC/gabU9eq9VU1lY8YnnDJsbpuprC9/9RjvbXqh5fNPv1/GvrwtlNUUUFSZzZc73uK7g59z8tC2q4Tuy9tCSXUe00edA0D/uHSKq3LYk7OJdXtXYTAYiI/sd3zhNSOHR/rvfiyZfTRdVnTP5CJ4p+Iw4YqfT4ntDtUFn9+ndwq/J2M6uiGvsJiPV68nKjICi8XM+srAbuX4uTXWkZSmRjC76FMUZ/P23lpDWfOU2tDzMKidj7XoqYy8bVTWlTApfX6bYxV1Ja1msjicTby19t9U1ZdiNllJiOzH1bP+wIQhs1o9z+Gy8/a6/3DdnD9h+KGQigqN48IpN/Pq6r9hMpq5cuZdWEzHv9hTWcSJqLzhd38BOCxmKkJ8cCdSP2bQFC7MbeRed4m/zu4/PhkfQeZaGDRN7yR+S9E0TUrdLtA0jWdeeZtvNm5lVHoaVS4zy0vjpOhoR4JazfklH2FsrPrxQZMVS8SZGNQBuuXyZkNzXqHfkY16x/CosvhwfnW9f69D4kssqok7ssu5jACcodIdSePgptWyYFgv8bc/rnrN/kOZbNmxh34piSiKwrYAH8vRmWJDBIsTzqMxPOXHB112HJUrcRv36BfMi+X1m6l3BI+riPSdJb/9XajTyr8zC6Tg6IrC7bD7Xb1T+C0pOrpAVVU+++Zb7A4HEWGhlDtNZDbZjv3EANaoWHkx+kxKYkf++KDqxln2KS7Dt/oF81KNSgq14Ql6x/Co0ih5e/EGR2eoTAn0GSrdsfafIJ0AvULeFbpg78EjbN+TQWpS8y+FbbVhSIfosWmKgTfDZrAvaUqrAaau8m9x8qnsUtuKgSPD/WtAaWHnK46LPjC0ysx7BQcYZJQZKt1SsgcOfKp3Cr8kRccxHG3lcDidhIWGUOYwk90kM1a64wvbGL5JmY9m+nERLXflHpzqij6bUusLKkJHoyr+8yOZGymDSPU0tQiWVx4mzH++pfrWun/qncAvybfjMezOOMTOvQfol9y81fXW2sBZ7tyTdpgHsDLlXFRbeMtjak02DsebaNTrmMx7aKqNrGEz9Y7hMdkxdr0jBCSDZuCynEaeaczRO4pvy90EWev1TuF3pOjohNvt5rNvNuJyuwkNCabEYSbXLmM5eirPEM2SxPNpCktseUyrL8XRsAzVUK5jMu9RmDxV7wge4TIZKQiVMQR9zaKa+GNmBX9wl+odxT9Ia4fHSdHRiZ37D7Jz3wFSk5vHckgrx/GrV2y8GHM25TE/bgOu2Wtx1LyJasjVMZl3sGvxVMYO1DvGcauNCAaDjHvqS6FOK09lFnCxUqN3FP9x6Aso3KF3Cr8iRUcH3G43n3+zEVVVCQ0OpshuIV9aOTxCVYwsCz+Ng4mn/DgX3tmEo3I5bsM+fcPpTuHIsLaLnPmaSpku26cSGqy8kZPJqTJDxfPW/UvvBH5Fio4ObN97gN0Zh+iX0twVsL0uVOdE/ueToBPZkDIXjD9sf666cZZ/gsvwnb7BdFZjHY7TAyud6qlUdpftM0MrzbxXeJABsodK79j7HpQf1juF35Bl0Nvhcrn4bM0GNE0jJCiIapeRPLtv/xLwBrXbVlG9aTnu+kos8YOInvMLtianU5YSzpnFH2Gw1wMarvJ17Kj8ji++301ZTQFu1U1cRAqnjbmQk4ed3nK9L3a8xRfb3wTg9HEXc9rYi1qOZRXv4811T3Lnuf9tsx+Lt9M0M5kjTmfYrlV6R+mxIpku2yemFao83XRY/nzsTZoK65+As/+jdxK/IN+q7di2ez97DxxumbGyrz4EWZfj+NTv+4aKr14gcsqlJF3zJJb4QZS8dR/u+iqyjbG8mngBjtD4lvOtzkJOGzeE3y56gj9c8DyT0ufx6uq/sjd3MwD55Yf5cMsSrp1zL9eedg+rNi8mv/wI0Lz76xtrn+CSabf5XMFxVHHsKXpHOC75Ue5jnyR6zKAZuDK7kaeb8vSOEhh2vAE1BXqn8AtSdPyM0+nis2++RTEYCA6y4dLgYEOw3rF8Xs3mlYSNnUfomNOxxPYnet6vUcxW6nZ9DkC1IZgXY8+hKjoNgCHxMZwQbSAmZAOxEZHMGn0+yTGDOVK0G4DiqlxSogeTnjKe9NQTSY4ZTHFV80DUL3a8yZCk0QyIH67Pi/UApxZNSdIIvWP0WHa0TJftLRbVzL2Z5fxelRkqfcbtgG//q3cKvyBFx89s272PjEOZ9PthxsrhhmDsmnyZjofmduIoOoRtwLiWxxTFgG3gOOz5+1secykmXomYS1bChJbH1PoS7A2vsT9/DSVVeaQljQYgOXoQJdV5VNQWU1FbTElVHsnRAymtLmBjxiecedJ1ffb6ektW2ly9I/SIajCQHSFb2veGMKeVZzLzuVCp1TtK4Nm6BBoq9E7h82RMx084nS4+XbMBg9FIkK15pspeaeU4bu6GGtBUjCGRrR43BkfiLG/bPPxB8MlMSonihOzPeej9T3G5VQyKwoXTr2VE6kQAEqMGcNbJ1/PUh78H4OxTbiAxagD/WfU7Fp1yE/vyNvPRlpcxGkxcMPnXDEke0+uv09PqzGk02UKxNdXpHaVb6sKDUI3S0uFpCQ02Fhcepp9Buq504aiDbUth6u16J/FpUnT8xK6MgxzMzKF/ShIAxQ4z5U7LMZ4lesNGy1BKB4Vy+0INR0MtB0vKWbF+KTHhYQxPOguAaSPPYtrIs358TsanWM1BDEoYyUNvXsPvznuaqrpSXvryYR647FXMRh/7t9SMHBlxBiO/f1vvJN1SGWEFpOjwpGGVZl6uOECINLrqa9srUnQcJ/kW/oGmaXy7ZQeqqhJka56psrc+ROdU/sEYHA6KAXd9VavH3Q1VGEM6nuZw2JTEZ8OuJj51MDPTBzMmNYnPvnsNl2Fzm3PrGqv5eOsrXDjlFrJK9hMfkUp8RCrDUsajqi5KqnxzwF1p1IRjn+RlyqLMekfwKzMKVd6tOiwFhzeoOAyZa/VO4dPk2/gHeYXF7Nx3gIS4GAAa3QYyG2VjN09QjGYsiUNoyv5xZT9NU2nK2oE1pfPBnhWGUF6MO4/aqIFomobL7cZVvhYnX7Y6791vn2bWmPOJCo1D01Tc6o9N0G7V7bM72rrVMPIHTtQ7RrcUy3RZjzBoBq7ObuApmaHiXbYt1TuBT5Oi4webd+yhuraOqIjmDckyGoJRZZqsx4SftIjaHZ9St+tLnGW5VHz6NJqzidDRcwAoW/UPKtcsaTm/+tu3aMz8HmdVEQ3lhfz7QCNbcwqYMCAFAHflDhzqSjTNxb68LZRU5zF91DkA9I9Lp7gqhz05m1i3dxUGg4H4yH59/po9Jbf/LL0jdEtBlG8WeN7Eqpr5U2Y5d6plekcRP7f3fRlQehxkTAdQV9/A+s3biYwIR1EUVA32yQBSjwoZMR13QzVV6179YXGwwcRf9GBL94qrphR+sq276rRT8fnTuGvLUUwWzNGpRJ95J5a0eCj8BlQ3avUR6m3LeHvdF1w35z4MPzw/KjSOC6fczKur/4bJaObKmXdh8eEVPhsM/akPjSWkzjd+AWVHOfSO4NPCnFaeyMnlZFnS3Du57bDzTZj0S72T+CRF0zRN7xB6W/fd9zz98psMHTwAs8lEVqONLyqj9Y4lOpDuKuT0ok9QnM1vyootEkvweShapL7BelFc/beM3vyq3jGOSQOuvtNCk1laO3oisd7K4qIjpMoMFe8WPxJ+9a3eKXxSwHevqKrK2u+2YTabMZuaG35kAKl3yzAl8Wby+biCm1tJtKYq7LWvoyr+u2Jgedg4VMX7f1wbQoOk4Oih4RUm3is6KAWHLyjZC7ltB7SLY/P+d7FelnE4iwNHskmKjwWgymWkwOFjUysDUKkhnJfizqch4oexGs5GHNXv4jYc0DdYL1HVIHKGTNU7xjFVRcpOzN2mwawClberjxAc8O/IPmTbEr0T+KSA/xbf9P1umhx2QkOax3DIPiu+w24w82LUAoriTmh+wO3EWfEhbsNWfYP1koKUaXpHOKZymS7bLUbNwDU5DfzbLjNUfM7uFWCXlWG7K6CLjtLySjbv2E1cdPP4DVWDwzJN1rcoBt4Oncbu5GnNA1E1DWf5GlzK13on87gmkqiOStE7RqeKI6Vg7yqraua+zHLukBkqvslZD7t8a+E+bxDQRcfWXXspr6wmNjoSgEKHhSbVN3clDXRfW0/g69SFaD/MUnFVfI9TfR9N86f+cYUj6WfoHaJTBdEBPy69S8IdVp7NzOM82UPFt217We8EPidgiw673cHa77YRGhKMwdD8ZZDFwHzbblMq7yafhzsoAgB39SGcrrfQ8J+ph1VBI3EZvXeme45Mlz2mpHorb+ceYaJBlor3eQXfQ+FOvVP4lIAtOnZlHCInr5CkhOYBpKoGWU0yCM7XFRojWZxwPo3hyQCodYU4mpahKdU6J/MMTbOSlX6a3jE6lBklu8t2ZmSFiZVFB0mWGSr+Y8cbeifwKQFZdGiaxvrN36MBVkvzTJUi6VrxG42KlRejz6I0dgQAWmMV9rrXUQ1FOifzjMKEyXpHaFdTkJU6m/wybZcGswvcvCkzVPzP/g/0TuBTAvLbP7egiD0Zh0mMi2157Ih0rfgVTTHwRthM9idNBkUBRwOOqrdxGw7pHe24ObVYyhKG6h2jjepI+Rlqj1EzcF12A0/a8/WOInpDVQ4U7jj2eQII0KJj78Ej1NTXExEeCkjXij/73DaWtSnzwWT5YUrtKtyG7XrHOm5ZQ+bqHaGN8kiZLvtzVreZ+zPLuF2TGSp+bZ+0dnRVwBUdqqqyeccegm02FKV5ep90rfi37eaBrEg5F9UWBpqKs/wrXMoavWMdlxrLMBwW79ofqCRKfoZ+KsJh47msPBYpdXpHEb1t3yq9E/iMgCs68gqLyckvbJkmCzJrJRDkGaJ5OeF87GEJALgqtuLUVvnulFrNxJHh3tXaURgpy58flVxv5e3cQ5woM1QCQ+k+KPP9rtu+EHBFx96DR6itayAstHl/FU26VgJGrSGIF2POoSKmeTyEu+oATvfbaPjmL4aS2JP1jtBKbrRT7wheYWR58x4qSQYpwgKKDCjtkoAqOlRVZcvOPQQFWVu6VgodFhqlayVguBUjr4XP4XDiyYCCWlvww5TaGr2jdZtLjaCo3xi9Y7TIivbN4s1jNJhT4ObNmiPYAuqdVQAyrqOLAupHI6+wmOy8QuKio1oek66VwPRR0AQ2ps4FoxmtsRJH3euohmK9Y3Vb9sA5ekcAwGExUxYSuAuDGTUDN2bX8y+ZoRK48rdBjf/udO0pAVV07D14hNp66VoRzTabB7Mq5WxUawiaox5H1duohiN6x+qWetNAGn9YgVVPNQE8XdbmNvNQZhm3auV6RxG60mRAaRcETNGhaRpbd+4lyCZdK+JHmcZ4Xku8AGdoHLgdOCrex230oWWNNSOHR+q/H0tFpFXvCLqIcNh4PjOPs2SGigAZ19EFAVN05BYUkZVXQKx0rYifqTIE82LsImqiBjVPqS37ApeyVu9YXVYWcSJ6D1ksjQqYt5IWR2eojDMG+FgW8aPsDdBQoXcKrxYw7xT7DmVSW99A+A9dKwC59sD860y05VRMLI2cT3bCiQC4Kjbj1D5C0/T+dX5sqhpCftqpumYojNT19n3uBJmhItqjuiDjY71TeLWAKDo0TWPLjr0EWX/sWql1Galze+9unUIf7wefwpaU08Bgwl21H6f7HTS8f4BkXupMfe8f5dL1/n1F0WBuvovXZYaK6Mj+D/VO4NUC4scmr7CYrLx8YmN+7FopdFh0TCS82beWYXycehaaJQi1Ng+HfRmaUqt3rE41KsnUhifodv+s6Cbd7t1XjJqRm7Lr+YdDZiiITmSvA1VawDoSEEVH84Jg9a26Vgqla0V04pAxkdeTzscVEo3WUIGjfhmqUqp3rE4YODJ8gS53dhuNFIT5d9Fhc1t45EgpN8sMFXEsTdVQvEvvFF7L74uOlq6Vn+y1AtLSIY6t3BDGS7HnURc5AM1ej6PmTVRDlt6xOlQRegIupe9nY9VEBINBOfaJPirSYePFrFwWGmSGiuiirPV6J/Bafl905BeVkJ1X0GqvFRnPIbrKbjCzOGoB+fFjwOXAUfkebsNuvWO1S1Nt5KTP7PP7Vkb5b6thSp2Vd3IPMUb2UBHdkS1FR0f8vujIzMmntqGB8LDQlseklUN01/KQKexIngmAs/wzXMoGfQN1oCBpSp/fsyzSP9e6GV1m5L2SgyTIDBXRXdnrm1efFG34fdFxODsPg6K07lqR8RyiB76xjuCLlIVoZhuuio04tU+8bkqtQ4unMnZgn96zKOrY5/gSRYN5+S6W1WZi9d9eI9GbGiuheI/eKbySXxcdLpeLfQePtCx7fpS0dIie2mdK4a3k83EHReKu2otTXe5lU2oVjgyb36d3zIty9+n9epNRM/KL7Dr+LjNUxPGSLpZ2+XXRUVBcSnlVFZHhYS2PyXgOcbxKDOEsjj+PhogU1JocHPY30LxoGewa63Ccpr5rzcuO8o/xDs0zVEr4tSYrSgoPyFqndwKv5NdFR3ZeIfWNTYQE/7jcubRyCE9oNFh5MepMiuNGoTWUNU+pNZTpHQsATTOTOeL0PrmXalDIiWzsk3v1pki7jZeyclhoqNc7ivAX2RtkXEc7/LrokPEcolcpBt4Knc7epKlojgYc1W+iGrL1TgVAcewpfXKfurBg3D4+jjS1zsq7eYcYbfCmbjLh8xrKoHS/3im8jt8WHS6Xi70HD8t4DtHrvrSNZnXqAjTAUbkSt0H/AWROLZqSpBG9fp8qH99ddmyZkZUlB4mXGSqiN0gXSxt+W3QUFJdSXlkt4zlEn9hl6sfy5HNxW0Oap9QavtU7Ellpc3v9HmWRvvnzpGiwIM/FqzJDRfQmGUzaht8WHdl5hTQ0Nsp4DtFnCoxRLE04n6bwRFzl3+LkM12n1NaZ02iyhR77xONQFO17v7FNmpFfZdXxuFNmqIheJiuTtuG3Rcfh7DwMBkOr8RxFUnSIXlav2Hgx+izKYobjrtyNU12h35RazciREWf06i0KIn2rWyLIbeEvR0r4P2SGiugD9SVQcUTvFF7FL4uOo+M5froKKUCF06xTIhFIVMXI6+GzOJA0CbU2B4fjTTT0mRVRGjWhV6+fHe07gy+j7DZeysrmDJmhIvpS4U69E3gVvyw68otKKK+sJuInRYemQZXLN/ufhW/61Dae9Snz0ZqqcDQuQ1P6fodStxpG/sCJvXJtDciO8o3psv1qrSzPO8QJBqfeUUSgKZIdZ3/KL4uO7PxCGppar89R6zbi0vzy5Qovts08kPdSzsWtadhr30Q15PV5htz+s3rlug2hQTSZvb97ZVypkRWlB4mVGSpCD0XS0vFTfvlb+HBW2/U5KqWVQ+gkxxjDK4kX4LCG46h8F7ehb+fuNxj6Ux8a6/HrVkfaPH5NT1I0WJjn5JU6maEidCQtHa34XdHhcrnYd+hIm/EclTKeQ+ioxhDEC7GLqIochLPiY1yG7/rw7gaOjPD8fixlkd77M2XSjPw6u47HnIV6RxGBrrYQ6r1jtWJv4HdFR1FpOZXVNYT/bFEwaekQenMrRl6JOJ3MhIm4ytfj5Is+u3d52DhUxbM/7iVR3tl8EOS28PiREn4he6gIbyFdLC38rugoraikvqGR4KCgVo/LzBXhLVYFTeS7lDm4a/bicK9A01y9fk9VDSJnyFSPXjM/yvv2lYiy21iamc1cmaEivIlsc9/C/4qO8koAjMYfX5qqQbW0dAgvsskyhA+Tz8FtL8bpfAONhl6/Z0HKNI9eLzfKu6bL9q+1siLvECOMMkNFeJkS2YPlKL8rOopKyloNIIXmgkPFO5uCReA6YopnWeL52FF/mFJb2av3ayKJ6qgUj10vK7rJY9c6XuNLDawsPUiMzFAR3kg2fmvhd0VHVm4BQUGtR9XLeA7hrSoMobwYdy7VQTHYa19HNeT34t0UjqR7ZoXSpiALNbbe7xY6FkVTODvPwct1WZjl7wrhrcoO6J3Aa/hV0dHQ2ERpRSUhPxvPITNXhDdzKiaWRs4nN2oEjqrluA0ZvXavqqCRuIzHX4RXRwZ7IM3xMalGbsmu4RFnkd5RhOicvQaq+36NHm/kV0VHaXlF8yDS4NYtHRXS0iF8wMqQSWxLnIaz6jNchi29cg9Ns5KVftpxX6dC5+myQS4Lf8ss5katd7ukhPAY6WIB/KzoKCmvpMluJ8hqbfW4tHQIX7Heks6nKWfirN2Mky975R6FCZOP+xolkfq9dUTbbSzNymaOofcH3wrhMTKYFPCzouPozBWD4ceX5dKal0AXwlccMCbyRtL52O05ONWVHp9S69RiKUsYelzXKIjyUJhuGlBjYbnMUBG+qOKw3gm8gl8VHQXFJa0KDoAqpxlNZq4IH1NmCOOluPOpUVw4XW+hKZ6dKZI1ZN5xPT9Xh91lJ5QYWFF2SGaoCN9UU6B3Aq/gN0WHpmlk5xW0WRSsWlo5hI+yG8y8FHkG+UFxP0yprfLYtWssQ3FYej4YNCva7rEsx6JoCotyHSyplxkqwofV9ObMNN/hN0VHbV09FVU1hPxsEGm9FB3ClykG3gmdyo6oMdjr30I1eGgvEc3EkRFze/RUh8VMWUjftHSYVCO/yarhIZfMUBE+Tlo6AD8qOkorKqlvbCT4Z2t0NEjRIfzAGusovoqfhb3uA9zGgx65ZknMyT16Xk1k0LFP8oBgl4W/ZxZzPTJDRfiBhnJw9V0Lobfyn6KjvBK73YHtZzNXpKVD+Is9plTeTjybpoZ1uA3bjvt6LjWCon5ju/28ygjLcd/7WGKabLySnc1pMkNF+BNp7fCfoqPkh5krP18CXYoO4U+KDREsjj+XGtdBXMrXx3297EHdX7OjJKp3170ZWGNhRf4hhhlkhorwM1J0+E/RkV9YjMnU9s2wQfWblygEAI2KlRejzqTAYMepvo+muXt8rXrDQBqCI7v1nKJe3F12YonC8rJDRMkMFeGPpOjwn6KjsKSMIFvr8RyaJmM6hH/SFANvhs1gd3ACDve7aPR0Sq2RIyO6tx9LXpTn91xRNIVzcx0srs+WGSrCf8kMFv8oOpxOF9W1dVgtrVcebVQNsrus8Gtf2MawJmIMdudyNKW6R9coixhPd9oVsqM8OxjOrJr4bVY1D8oMFeHvaj00+8yH+UXRUVNXj8PhwGppPcBNulZEINhhHsCKmBk0OD9CNXT/F7eqhpCfdmqXznUbjeSFN3b7Hh0Jdln4R2YR11DlsWsK4bWkpcM/io66+nrsDieWn7V0NEnXiggQeYZoXo6ZR41rHaqh+8st56XO7NJ5tRFBYPBM62FMk41Xs7OZJTNURKCQMR3+UXT82NLxs6JDWjpEAKlTgngxaj6FygHchu3dem6jkkxteMIxz6uMtB3znK4YVG1hZf4hhsoMFRFIpOjwj6Kjtq4eVdMwGlu3bEjRIQKNqhhZFjaTveZ6nMrabjzTwJHhC455Vmnk8bcenlyisKL8EJEyQ0UEmrpicHt+ILYv8YvfyrX17TfPStEhAtUnQSeyNjgau/J5l6fUVoSegEvpvKgoOo7dZRVN4YIcOy/WZ2OU8d0iEGkqNAb2Crt+8Vu5praO9lYOkKJDBLKt5sG8FzqcRsNnaBx7xomm2shJn9npOXnRPVsTxKyauDOzmj+7i3v0fCH8hrNe7wS68ovfypXVtZiMbf9Ca5SiQwS4bGMsr4adTI3ha1xq1THPL0ia0unxnB5Mlw1xWflXZiFXeXCXXCF8liOwB077xW/lqppazOa2q5FKS4cQUG0I5qWwKZRYtlLfmNXpuQ4tnsrYge0eUw0K2ZHdmy4b22jjtexMZhg8N81WCJ/mlKLD59XW1WFuZwl0hxQdQgDgUky8FjqZPabDVNXu6ORMhSPD5rd7pD4siO7MQh9UbWFFwSHSDIE9cE6IVqTo8G1ut5va+oZ2WzpkbLwQra2Jm8xaSy31jd91eE61NR27oe3PU3emy04qRmaoCNEe6V7xbQ2NTThdLswmc5tjmiZD5IX4uf0JE1gZFILDsLn9EzQL2xIntHm4PLLtz9jPGTSFC3PsPN+QIzNUhGiPDCT1bQ1NTTidLmnpEKIbCiIH83JQKg3Gb9G0tj8p5cnT2jx2rOmyZtXE7zKruE9mqAjRMWdgj2/y+aKjsdH+Q0tH285mVVo6hOhQpTmS50JHUW75rs2U2uDQQRSkjmj1WEFUx2V8iMvKk5mFXNHDTeeECBjSveLb6hsbf2jpaNv0Ky0dQnTOqZhZHDKWI7Z9aNS0OnZk6NxWn+dEOdq9RlyjjdezM5kmM1SEODbpXvFtDqcTt9uN0dD2pciYDiG6ZrktnU3BhWhKectjdiWNxqBQADQgM6ptUZFWZWFl4UEGyQwVIbpGuld8m9vd3J6hKG0LDGnpEKLr1lr682FIPdUNBwBQVCMZo88AoDE0iCZL65+oU4vg3YpDhCvtrQcshGiXQ1o6fJqqqtBOwQEypkOI7tpniuONCBvl6kEAysObZ7FURfw4XdagKVyc08RzjTJDRYhuk3U6fJumaXT0victHUJ0X01IHK9ExlEakofiCiM7bSLlUc1jpiyqid9nVnGvu0TnlEL4KOle8W1ud/sbUGkadFyOCCE64zRYWWKK4nB4AVn9Z1ISaSDEZeXfmQVcLjNUhOg5d/sDsgNF28UtfIyqtt+fLK0cQhwnxcByJYoZ4dUMcCi8npXJIKMMGBXiuBgteifQlc+3dKjtLGwEMnNFCE9Zo0QwRSmUgkMITzAee2Vff+bzRcfR2Ss/Jy0dQnhOiSlV7whC+Adp6fBtqqpCO2M3pOgQwnPKgofrHUEI/2C06p1AV75fdGhauzNmZbqsEJ6z1y0tHUJ4hHSv+Da3242mtR1MKiWHEJ6z3dVP7whC+AfpXvFtHc1eMRukg0UITynVImhUgvWOIYTvM0nR4dM6mr1iUsCALM8shKeUKTF6RxDC90lLh2/raPYKgEVaO4TwmAIlXu8IQvg+KTp8m6aqHbZnWGQjKiE8JltL1DuCEL5Pig7fpnay94q0dAjhOQfUZL0jCOH7pOjwbQZF6bClwywtHUJ4zG6XTJsV4riZZJ0On2axWKSlQ4g+sNPVD1UmowtxfGSdDt9mtZhpd3UwZEyHEJ7UgI06JVzvGEL4NnOI3gl05fNFh81qad7Hvh3S0iGEZ5UYYvWOIIRvC43TO4GufL7osFiaB+W0tyqpjOkQwrPyNZk2K8RxCQnsnyGfLzpsVguKorS7Mqm0dAjhWUe0JL0jCOHDFAiVosOnWS0WjEYjbre7zTEZ0yGEZx1QU/SOIITvCoqUgaR6BzheVosZk9GIq72iQ1o6hPConbLxmxA9F5qgdwLd+X7RYbVi6qClQ8Z0COFZ+9xJuDHqHUMI3xQS2INIwR+KDosZo9EgLR1C9AEVI1WGKL1jCOGbpKXDH4oOCyaTqd2WjiApOoTwuGJF/loTokcCfBAp+EXR0XFLR6jRTceLpAsheiJXk7/WhOgRKTp8v+gwGo3YrNZ2t7g3KM2FhxDCcw7LtFkheibA1+gAPyg6AIKDbLhcrnaPhUnRIYRH7XXLxm9C9IiM6fCPoiMkKKjdlg6AMFP7xYgQomd2uPrrHUEI3xTgS6CDvxQdwUHtjukACJeWDiE8KleNwa4E9vbcQvSIdK/4R9ERFRnecfeKtHQI4XHlSozeEYTwLQazDCTFT4qO6MiIDo9JS4cQnlck02aF6J6YNDDIwnp+UXREhoehaVq7O81KS4cQnpct02aF6J7YYXon8Ap+UXRERYRhtViwO5xtjlkNGlZFFgkTwpMOqsl6RxDCt0jRAfhJ0REZHo7NZqXJbm/3uLR2COFZe92y8ZsQ3RKXrncCr+AnRUcoQZ0VHTKuQwiP2i7TZoXoHmnpAPyk6DCZTMRERdLU5Gj3uLR0COFZVVoI9Uqo3jGE8BGKFB0/8IuiAyA5PrbDlg6ZwSKE55XJtFkhuiYiFSzBeqfwCn5TdMTGRKOqsiqpEH0lX5E1B4ToEmnlaOE3RUdUeFiHx6SlQwjPy5SN34ToGhlE2sJvio7IiDAMitLhFvcWmTYrhEcdkGmzQnRN7FC9E3gNvyk6oiLCsdlsNDW1HdehKBBrbruGhxCi53a7ZNqsEF0SKy0dR/lX0WG1dDiYNM7S/swWIUTP7HaloPrPW4gQvUe6V1qY9A7gKcFBNsJDQ6iormn3eJy0dAjhUXYs1BgiiFQr9Y4SMJ7Z7OCZLQ6yqpq7i0fFG7lvuoUzhpoB+MUHjXyR6aKgViPUojC5n5HH51gZHtvxnh/FdSp3fWHns8Muqpo0pg8w8p8zbAyN+fE5v/20iSXbHYRYFB47zcblY8wtx97e4+TlnU4+uFRmZ7QrKBpCYvVO4TX85s8URVFIjI9tt3sFIF5aOoTwuBJF3kz7Umq4wmNzrGy9KYQtN4Uwe6CRc95oZE9J81i2CclGFp8TxL5fh/LpFcFoGsx9pQG32nZfKgBN01j0ZiNHKlXeuySY738RwoAIA3NeaaDe0fycDzKcLNvl5LMrQ/jrHBs3fNBIWUNz0VPdpHHPV3b+u8DWN18AX5R4gt4JvIrfFB0AiXGxOJztt2gEG1WCDTKLRQhPykU2futLZ6WbWTDUzNAYI8NijDxymo1QC2zMa35vu2mChekDTAyMNHBikpGHZ1vJrdHIqmq/6DhYobIxz80zC22clGIkPdbIM2faaHTC67ub30v3lanMHGhkYrKRS0ebCbcqZFY2X+/3nzfxy4lm+kf41a8Sz+p3it4JvIpffackxEWjQbu7zYKM6xDC046oMm1WL25V443dTuqdcGq/tt0n9Q6Nxd87GRSp0C9Cafca9h+WMLKZfjxuUBSsJliX01zIjE0wsqXATWWjxtYCN41OjSHRBtbluNhW5ObWUyyef3H+RIqOVvxmTAdAckI8VouZJruDIJu1zfF4s5PspiAdkgnhn/arKdD+7zPRS3YVuzn1xXqaXBBqgRUXBzEy7sei4+nNDn7/eRP1TkiPMfD5lSFYjO3/Iw2PNdA/QuEPXzbxvzODCLHAv751kFejUVjX3IUyb4iJK8aYOen5OoLMCksXNZ/3yw+bWHJOEM9scfKf7xzEBis8d6aNUfEdjx8JPAqknqR3CK+iaB01C/ig+oZG7n70SRSDQnxMdJvjBXYLH5VLH7QQnjLMWMhn5jv0jhFQHG6NnGqN6iaNd/Y6eeF7J2uuCW4pPKqbNErqVQrrNP6+wUF+rcr660JatWb81NYCN9e/38iOYhWjAnMGGzEoChoaH18e0u5zHlhtp6pJ49rxZua+0sCuX4aw6oCLpzY72HqT7MnTIm4E/Hqj3im8il91r4QEB5GSGE9dXUO7x2PNThT8psYSQncH3Qk4/avB1OtZjApDog1MSDby6BwbYxMMPLnxx67jCJvC0Bgj0weYeOeiIPaXqazY1/FWEBOSjWz/v1Cq7gqj8I5QPrkihPJGlcGR7f962F/m5tVdTh6abWV1lovpA4zEhRi4aJSZbYUqtXZ5j23R72S9E3gdvyo6AIYNHtDhWh0Wg0aE7MMihMdoGKg0tG1VFH1H1cDewRh5TWv+sLuPXQhE2BTiQgwcLHezpUDlnOHmNudomsYvVjXxz7lWQi0KbhWcPyz2fPS/XbhV4Og/Se8EXsfvio6UxOZNqDocTCrrdQjhUUVKnN4RAsYfvmjim2wXWVUqu4rd/OGLJlZnubl8tJkjlSqPrrWztcBNTrXKhlwXF77dSJBZYcHQH1ujhj9Vx4p9P74Pvr3HyeosV/O02f1OTn+lgUXDTcxNa9uC9cI2J3HBCmelNxckU/qb+CrTxcY8F//61s7IOAORNhnk00IGkbbhd+2iyQlxBAfZqG9oJDSk7WI1cRYHBxtlERshPCVHS2QMe/SOERBK6jWuWtFIYZ1GhFVhTIKBT68I5vQ0EwW1Kmtz3DyxyUFlo0ZCqML0AUY2XBdMfMiPf19mlKtU/6QLpLBO5befOSiu00gKU7hqjJk/zWg7EL+4TuWRtXY2XP/jOI+TU4zccaqVhcsaiQ9pHmQqfhAcCzFpeqfwOn41kBTA4XBy92NPYnc4SYpvO2i01GHmvTL5y0wIT7nd9hG/4VW9YwjhXdIXwqXL9E7hdfyue8ViMTO4Xwq1dfXtHo8xOzHKYFIhPGavO1XvCEJ4HxlE2i6/KzoABvVPxeVqf8CoQYFYWSRMCI/Z7hqgdwQhvI+M52iXXxYdyYlxKIqC293+kO5Ua/uzW4QQ3VesRdCkSF++EC2MFkger3cKr+SfRUdCHKEhwdTVt79eRz9bUx8nEsK/lSkxekcQwnskjQWzbILXHr8sOuKio4iKCKe2g6Ij1uySzd+E8KBC4vWOIIT3SDtN7wReyy+LDoPBwLBB/Tts6QBIldYOITwmS3abFeJHw+bpncBr+WXRAdA/JQm3qnZ8XMZ1COExB9VkvSMI4R1CE2U8Ryf8bnGwo1IS47GYTDTZHdisbbdeTrHaMaChyhaZHar9/iNqv/8IV3UxAObY/kROvpSgtIkAuOsqqVz9Eo1Z36M5GjFHpxJ+6kWEpE/p8JpV616jev3rrR4zRaeScuOzLZ9XfPk89bu/RDHbiJxxNaGjZrUcq9+/jvrdXxJ/wZ89+VLFcdrrSvXjdxMhumHYPFDk90pH/PZtYlD/FGKiIqmsqiYpoe1iYGaDRqLFQYGj7cp7opkxLIaoGVdjimr+K7Zu95eULH+YpGuexBI3gLIP/4lqryP+vD9hCI6gfu9qyt57HPPV/8KS0PFKfObY/iRc/MiPDxh+bHBrOLSJ+n1riL/oIVyVBZR//CRBg07EGByBaq+n6puXSbjk4V57zaJntrsHoJlkl3shGDZf7wRezW+7V2xWK6OHD6WyurbDc2QWS+eCh5xCUNpJmKNTMEenEDX9KgwWG/aCDADs+fsIO/EsrMnpmCMTiZx8CQZrCPaiQ51f2GDEGBr140dwRMshZ3kutn6jsSYNJWTkDBRLcEtLS+XXiwkbvwBTuAxa9DZ1mo06JVzvGELoy2SDwTP1TuHV/LboABg+ZCCgoXYwtkOKjq7TVDf1e9egOpuwpgwHwJoygob9a3E31qJpKvV716C5Hdj6j+70Wq7KAvL+exX5z15P6Qd/w1VT0nLMEjcIR9Eh3E112IsOobnsmKKSacrbg6P4MGETzurV1yl6rkRpu+2AEAFl0HSwyN5enfHb7hWAtIH9iAgLpaqmlujIiDbHI01uwo0uatx+/WU4Lo7SLIpeuRPN5UCxBBF/7j1YYvsDEHfOXZS+9zh5/74UDEYUk5W4c+/BHNXxoEJrUjoxC27HHJ2Cu66C6vWvU/TaXSRf918M1mCCBk8gZNRMipbejmKyELvwdgxmKxWfPk3Mwtubx5lsW4UxKJzoeTdjiZPVML1FPvGkcUTvGELoR7pWjsnvNnz7KU3TePzpxWQcziJtYL92z9lQHc7e+tA+TuY7NLcTV00pqr2Bhox11O34jITLHsMS25+Kz5/FXniAyOlXYQwOp+HARmq2vEfi5Y9jiRvYpeurTXXkPXMdUbNvIGzs3HbPqVq3DNVeT+joORS/9SeSr/svjYe+o3bbKpKuedKDr1YcjweC3uJqbaXeMYTQz+17ISJF7xReza+7VxRFYezIYTTZ7XRUW8nU2c4pRjPmqGSsiUOImnENlvhB1G55H2dlIbXbVhFzxm8IGjgOS/xgIqdehjVxCLXbVnX5+gZbKOboFFxVBe0ed5bnUr/3ayKnXUFTzi5sqSdgDI4gePg0HMWHUe0dr8Ui+tYBVd5sRQBLHC0FRxf4ddEBMGRgf2xWK41N7RcXSVY7JqXj9TxEa5qmobmdaK7mr6ei/OxbSDFANxrPVEcjrqpCjCHR7d6r/NP/EjX7BgyWINBUNPWHjfyO/leTfztvscvVX+8IQuhn2Bl6J/AJfl90DExNJi4mioqq6naPGxVIll1n21W5ZglNubtxVRfjKM2ics0S7Dm7CBk5E3N0KqaoJMo/fQp7QQbOykJqvltOU9Z2godOarlG8Rt/pGbrBz9e86sXacrZhau6mKa8fZQufwQUAyEjZ7S5f92OTzEGhRM8pHm3RmvKCJqyd2LP30/N5vcwx/THYJOuMW+x152MG6PeMYTQh4zn6BK/H0FpNpsYO3IYH365FpLaX6q5v62JHLtszvNz7vpqylb9E3d9BQZrCJa4gcRf9CBBg5pX24u/4H6q1iyl5N2H0JyNmCKTiFl4O0FpJ7Vcw1lZhLWxpuVzV20ZZR/8DXdjDcagCKypI0m88h+tps0237uS6m/fIvGKv7U8Zk1OJ/zkcyl55wEMwRHELry9l78CojtcGKk2RBKtlusdRYi+FZoAKSfqncIn+PVA0qM279jDEy+8ytDBAzAZ2/4l1qQqLCtKlNVJhThOH4c8yAj3fr1jCNG3JlwDZ8mg9q7w++4VgCED+xEZHkZVdU27x20Gjf6yZocQxy1Xk4XbRAAac7HeCXxGQBQdURHhDBnYn4qq9osOgGHBMgtCiON1REvSO4IQfSuyP/Q/Ve8UPiMgig6A0cOH4HA4O5w6m2q1E2Rw93EqIfzLPneq3hGE6FujL5IN3rohYIqOIQP7ExIcRH1DY7vHDQoMCWr/mBCia3bItFkRaKRrpVsCpujol5xAUnwsZZVVHZ4zVLpYhDguWWocDix6xxCibySNg7hheqfwKQFTdBiNRk4ZP5q6uvoOu1iizS5izbJmhxDHo8IQo3cEIfrG2Ev0TuBzAqboABg7chhhoSFU19Z1eI60dghxfAqVOL0jCNH7DGYYfaHeKXxOQBUd/ZITSR88kJKyig7PSQtqxIDfL10iRK/J0dpfhE8Iv5J+BoTEevyyM2fO5Lbbbuvy+StXrmTIkCEYjcZuPU8vAVV0KIrCKeNH43S5cLvbn6kia3YIcXwOqsl6RxCi9514ld4JAPjFL37BBRdcQG5uLg899BDXXHMNixYt0jtWhwKq6AAYPWIosVGRlFVUdXiOdLEI0XMybVb4vfAUSDtN7xTU1dVRUlLCvHnzSE5OJiwsTO9IxxRwRUdkeBgTRo/sdBZLP1mzQ4ge+941QO8IQvSucZeBofd/fdrtdu68805SUlIICQnhlFNOYfXq1QCsXr26pciYPXs2iqIwc+ZMli5dynvvvYeiKCiK0nJ+R1avXo2iKFRVVbU8tn37dhRFISsrC4AlS5YQGRnJypUrGTp0KDabjXnz5pGbm9vt1xRwRQfAiaOHYzIaO9zu3qA0j+0QQnRfhRZKgxKidwwheokC46/okzvdfPPNfPvtt7zxxhvs3LmTCy+8kPnz53Pw4EEmT55MRkYGAO+++y6FhYW8//77XHTRRcyfP5/CwkIKCwuZPHmyR7I0NDTwyCOP8PLLL7N+/Xqqqqq45JLuz94JyKJjeNog+iUlUFLW8W6Ysiy6ED1Xpsi0WeGnBk2HqIG9fpucnBwWL17M22+/zbRp00hLS+POO+9k6tSpLF68GIvFQnx8815H0dHRJCYmEh4eTlBQEFarlcTERBITE7FYPLNujtPp5KmnnuLUU09lwoQJLF26lA0bNvDdd9916zoBWXRYLGZOnTCW2mOs2REna3YI0SMFimz8JvzUqb/uk9vs2rULt9vNsGHDCA0NbflYs2YNhw8f7pMMP2UymTjppJNaPh8+fDiRkZHs27eve9fxdDBfMXbkMN7/fDXVtXVEhrc/+OaEkHq+rpLVFYXoriwtkUl6hxDC02LTYejcPrlVXV0dRqORrVu3YjQaWx0LDQ312H0MP4xN+ekf4E6n02PXb3O/Xruyl+vKmh2DghoJM7r6MJUQ/iFDTdE7ghCed+qv+2xzt/Hjx+N2uykpKWHIkCGtPhITEzt8nsVi6XBJiPbExTUv5ldYWNjy2Pbt29uc53K52LJlS8vnGRkZVFVVMWLEiC7fCwK46OjKmh0GBUaHdrx6qRCifbtdMm1W+JmQ+D5d9nzYsGFcfvnlXHXVVSxfvpzMzEy+++47Hn30UT788MMOnzdw4EB27txJRkYGZWVlx2y1GDJkCP369eP+++/n4MGDfPjhh/zjH/9oc57ZbOaWW25h06ZNbN26lWuuuYZJkyZx8sknd+t1BWzRAV1bs2NYcAM2mT4rRLfscvVDRbb7Fn7k5JvAZO3TWy5evJirrrqKO+64g/T0dBYtWsTmzZvp37/j3ZxvvPFG0tPTmThxInFxcaxfv77Te5jNZl5//XX279/PmDFjePzxx3n44YfbnBccHMxdd93FZZddxpQpUwgNDeXNN9/s9mtStI5GUgaIJW+9z2ffbGDksLQOz9lWG8q22vA+TCWE79sR/Csi1Cq9Ywhx/MzBcPseCI7WO4kulixZwm233dZqLY+eCuiWDvhhzQ6TiYbGjpc+HxlSj0lR+zCVEL6vRPH8vhRC6GLcZQFbcHhawBcdI4cOJn3wQPKLSjo8x2bQSJd1O4Toljxk4zfhBxRDn02T7Q1/+ctfWk25/enHGWec0ed5Ar57BeDbrTt4askbDB6QirWDhVRqXUbeKolHk35qIbrkT0Hvcr32rt4xhDg+w8+ES17TO0WPVVRUUFHR/izNoKAgUlL6dqZZwK7T8VPjTxjOoH4pFBSVMKh/+6Puw0xu0oIaOdQY3MfphPBNGWoKUqMLnzf5Vr0THJfo6Giio72nayjgu1cAbFYrsyafRENjEy5Xx+tyjJHps0J02S5XP70jCHF8Uk+G/qfoncKvSNHxg5PHnUBKYjyFJWUdnhNtdpFq7XjAqRDiR/vdSbikMVX4ssk3653A70jR8YOw0BBmnjqR6ppaVLXjmSpjpbVDiC7RMFBliNI7hhA9EzMEhp+ldwq/I0XHT0w6cSzxsdGdLo2eZHXIRnBCdFGREqd3BCF6Zva9YJBfkZ4mX9GfiI2OZOpJ4ymrqOpw91mQsR1CdFWO1vEeEUJ4reTxMHKR3in8khQdPzN54jgiI8Ior6zq8JyBtiaiTb23C58Q/uKwlqR3BCG6b879fbaxW6CRouNnUpMSOHnsKIpLyzts7VAUOCm8po+TCeF79rll4zfhYwbPgsEz9U7ht6ToaMf0SRMICQ6iprbjbpR+NjtJFnsfphLC92x3dbwxlRDeR2lu5RC9RoqOdqQN6MeYEcMoKC7t9LyTw2uAgF/QVYgOFahRNCk2vWMI0TWjzoXkcXqn8GtSdLRDURRmnjoRk8lEXUPHe67EWZwMtsm6HUJ0plyJ0TuCEMdmMDfPWBG9SoqODowalsbIoYPIL+x4IziAieE1GKS1Q4gOFcq0WeELTrwKYtL0TuH3pOjogNFoZPaU5uVv6xsaOzwv3ORmeEh9X8USwudky7RZ4e3MITDjLr1TBAQpOjpx4gnDGTcqnZz8ws7PC63DonS8iqkQgeygmqx3BCE6N+mXEJagd4qAIEVHJ4xGI2fMmorVYqGqprbD82xGlfFhHR8XIpDtlWmzwpsFRcOU3+idImBI0XEMI4YM4pTxJ5BfWNzpKqWjQuqJkAXDhGhjh6ufjHoS3mvaHWAL1ztFwJCi4xgURWH+zClEhIVSVlHV4XkGBSbJgmFCtFGthVCvhOkdQ4i24obDKb/QO0VA6VbRMXPmTG677bYun79y5UqGDBmC0Wjs1vOOysrKQlEUtm/f3u3netKA1GSmnXIixaVlne5A289mJ9UqU2iF+LlSJVbvCEL8jAJnPgFGs95BAkqvtnT84he/4IILLiA3N5eHHnqIa665hkWLFvXmLXvNnGmTiI+NpqikrNPzJskUWiHayCde7whCtDb+Chhwqt4pAk6vFR11dXWUlJQwb948kpOTCQvz7ebVhNgYTp92KhVVNThdrg7PizS7GClTaIVoJVOmzQpvEhIHcx/SO0VA6nHRYbfbufPOO0lJSSEkJIRTTjmF1atXA7B69eqWImP27NnNK3zOnMnSpUt57733UBQFRVFazu+ONWvWcPLJJ2O1WklKSuLuu+/G9UMRsGrVKiIjI3G73QBs374dRVG4++67W55/ww03cMUVV/ToNc+afBKDB6SQk3eMKbRhtQQb3D26hxD+6ICaoncEIX409xEIitI7RUDqcdFx88038+233/LGG2+wc+dOLrzwQubPn8/BgweZPHkyGRkZALz77rsUFhby/vvvc9FFFzF//nwKCwspLCxk8uTJ3bpnfn4+CxYs4KSTTmLHjh0888wzvPjiizz88MMATJs2jdraWr7//nuguUCJjY1tVdysWbOGmTNn9ug1h4YEc+Zp03G5XNQ3drxgmMWgMS2yqkf3EMIf7XL10zuCEM0GzYCxF+udImD1qOjIyclh8eLFvP3220ybNo20tDTuvPNOpk6dyuLFi7FYLMTHN/fhRkdHk5iYSHh4OEFBQVitVhITE0lMTMRisXTrvk8//TT9+vXjqaeeYvjw4SxatIgHHniAf/zjH6iqSkREBOPGjWvV4nL77bfz/fffU1dXR35+PocOHWLGjBk9edkAnDzuBMaOGk5OXmGnU2j72ewMDep43xYhAskedwpumSwndKaZbHDmv/SOEdB69C6wa9cu3G43w4YNIzQ0tOVjzZo1HD582NMZW+zbt49TTz0VRVFaHpsyZQp1dXXk5eUBMGPGDFavXo2maaxdu5bzzjuPESNGsG7dOtasWUNycjJDhw7tcQaTycRZc6YTHGSjoqrzKbKTIqqlm0UIwImJGkOk3jFEgFOm3SH7q+jM1JMn1dXVYTQa2bp1K0ajsdWx0NBQjwTrqZkzZ/LSSy+xY8cOzGYzw4cPZ+bMmaxevZrKysrjauU4atjgAUw7+UQ+/GotURFhGAzt125Wg8bUyCo+q5BdNoUoJpYoKvSOIQJV7DCYcpveKQJej1o6xo8fj9vtpqSkhCFDhrT6SEzseJS6xWJpGeTZEyNGjODbb79t1a2xfv16wsLCSE1tXmr56LiOf/3rXy0FxtGiY/Xq1T0ez/FTiqIwb+ZkEuNiKCgu7fTc/jY7Q6SbRQjykL0thD60o2tymLrXpS88r0dFx7Bhw7j88su56qqrWL58OZmZmXz33Xc8+uijfPjhhx0+b+DAgezcuZOMjAzKyspwOru3bPivfvUrcnNzueWWW9i/fz/vvfcef/7zn/ntb3/b0toQFRXFmDFjeO2111oKjOnTp7Nt2zYOHDjgkZYOaJ5Cu2D2NGpq62hs6nxBsFMjqgmSbhYR4A5rSXpHEAFKGXc5DJyidwzBccxeWbx4MVdddRV33HEH6enpLFq0iM2bN9O/f/8On3PjjTeSnp7OxIkTiYuLY/369d26Z0pKCh999BHfffcdY8eO5f/+7/+4/vrruffee1udN2PGDNxud0vRER0dzciRI0lMTCQ9Pb3br7Ujs049iRNPGMGR7PxOB5Ue7WYRIpDtl43fhB6CY2VNDi+iaJ39thTHlJVbwF+fXQKaRnJi56sufl0ZyeHG4L4JJoSXSTMU86Xldr1jiEBz6RuQfobeKcQPZA7bcRrYL5mzTptOZU0tjU32Ts+VbhYRyA6rCTiRfS5EHzrpBik4vIyuRcdf/vKXVlNuf/pxxhm+841y2tRTGD9qOEdy8jrtZrEZNKZEVPdhMiG8S4VBZnKJvqHFj2xeeVR4FV27VyoqKqioaH8KXVBQECkpvrN0clZuAX99ZjEoCskJcZ2e+1VlJEekm0UEoPdCHmWse5feMYSf04xWlJtWQ8JIvaOIn+nROh2eEh0dTXR0tJ4RPGZgv2TOnDOdV5Z/SFREOEE2a4fnTo6opsBupUk1dniOEP4oW0tgLFJ0iN6lzH1YCg4vJWM6POi0KacwbmQ6R7KP3c0yTbpZRAA6rCbrHUH4OW3oPDjlJr1jiA5I0eFBVquFCxeeTmREGEUlZZ2eOyCoidEhdX2UTAjvsFemzYpe5A6OQ1n0jN4xRCek6PCwwQNSOfO0aVRUVdNk73w2y0nhNSRaOj9HCH+yXXabFb1EQ8F4/vMQIoOVvZkUHb1gztRJjBt17G4WgwKzoyplUzgRMEq1CBoVGUQtesGpv4a0WXqnEMcgRUcvsFotXLDwdCLCQikqLe/03GCjymnRFRiQNdpEYChT5C9R4VnuhNEoc+7XO4boAik6eknagH4sPG0aFZVVNNkdnZ6bYHFycnhNHyUTQl8FSucr9wrRHaopCONFS8EoC8/5Aik6etGcaZMYO3IYh7NyUFW103NPCK0nTXajFQEgW+t4J2ohustwzlMQk6Z3DNFFUnT0IpvVyhXnnUlyQhyZufnHPH9qRDVRpu7tvCuEr8mQabPCQ9TJt8PoC/SOIbpBio5elpqUwCXnnIFBUSgpa3/11aPMBo050RWYlc5bRYTwZXtkBovwAMegORhO/7PeMUQ3SdHRByaOGcmZc2ZQWlFJfUNjp+dGmNzMiKzqm2BC6GCnqx8qit4xhA9rCh+E5ZKloMj3ka+RoqMPKIrCwtnTmDxhLEdy8nC5O58iOzCoiTGhtX2UToi+1YCVOiVc7xjCRzlMoVivfQ+soXpHET0gRUcfsVjMXLZoAUMH9edQZk6n63cATAyrJUkWDhN+qsQQq3cE4YPcGNEufAUlaoDeUUQPSdHRh2KiIrjyvDMJDw0hr7C403Nl4TDhz/I1mTYruq926j1Y02frHUMcByk6+lh62kAuWHg6DY1NVFV33oUSZFSZKwNLhR86oiXpHUH4mIrBi4icc4feMcRxkqJDBzNPncjp0yaRV1iE3dH5wmGxFidzZMVS4WcOqCl6RxA+pCryBKIuf1HvGMIDpOjQgcFg4PwFcxg7Mp1DXVg4LMXqYEZUJYoUHsJP7JRps6KL6ixxhN3wPorRpHcU4QFSdOgkJDiIK88/k+T4+C4tHJYW1MSkiOo+SCZE79vnTsKNUe8Ywss5FCvmq5ZjDJX9evyFFB06Sk1K4NJFZ2BQDJSUdb4xHMCokAbGyVRa4QdUjFQZovSOIbyYExNNi17CmjpG7yjCg6To0NmE0SM46/TplFVUUVd/7L1XJobXkh5c3wfJhOhdxUqc3hGEl3JrBipP+wfhY8/UO4rwMCk6dNa8cNh0pp9yIpm5+TQ2HXttjikR1Qywdb6yqRDeLkdL0DuC8EKqppA38W7ip12jdxTRC6To8AJms4krzz+LU8aP5nBWDg5H55u+GRSYFVVJoiweJnzYYZk2K35G0+BQ2nX0P/P3ekcRvUSKDi8REhzEdRcvYvTwYRw4kn3MpdJNCpweXSG70gqftc+dqncE4WV2x53N4EsfR5E9VfyWFB1eJDI8jBsuO5chg/px4HDWMafSWg0a82PKCTW6+iihEJ6zw9Vf7wjCi+wInkbaNf/FZDbrHUX0Iik6vExCbAw3XXY+qUkJHDiSfcw9WkKMKmfElGOT5dKFj8lVY7ArVr1jCC+w0zSe1KufIzhUNgL0d1J0eKH+KUlcf8m5REeGcyQn75iFR4TJzTxZLl34oHJF1l8IdHsMI0m4ZgkxCcl6RxF9QIoOL5WeNpBrLjoHq9lMbkHRMc+PsziZH1OORQoP4UOKZNpsQMsgjagrl5KQOlDvKKKPSNHhxU48YQSXn7sQl8tNYUnZMc9PsDhZEFsmXS3CZ2TLtNmAdVjrR9ClS0geNEzvKKIPSdHh5aaePJ4Lz5xLTW0dZRVVxzw/1uzizJhygqXwED7goCpN6oHosJoKF7xE/3RZbTTQSNHh5RRFYd6MUzln7kxKyyuorjn2MuiRZhdnxZYRJrNahJfb65aN3wLNbtdAnOc+R9rok/WOInQgRYcPMBgMLJo3i7nTTyWvsJi6hmMvlx5mcnNmbBmRso6H8GLbZdpsQNniHAJn/4fh46foHUXoRIoOH2Eymbjk7PlMO2UCmTn51Dceexn0EKPKmTHlxJgdfZBQiO6r0kKoV0L1jiH6wDf2ERjPeIxRJ03TO4rQkRQdPsRqtXD1BWcx7eQTyczO79IGcTajysKYcuKl8BBeqtQQq3cE0YtUFD5tGI11zj2MmzJHVhsNcFJ0+JiQ4CCuv2QRs6acRFZeAdW1dcd8jsWgcUZMOcmyV4vwQvnE6x1B9BI3Bt6vG0vI7Ns5adZCKTiEFB2+KMhm45oLzmbe9MnkFRZTWV1zzOeYDRrzYsrpL7vTCi+TpSXqHUH0Aqdm4p3aCUTO+D9OPX0RBoP8uhFSdPgsq9XCFect5MzTplFUUtal6bRGBeZEVZIWdOxuGSH6ygGZNut3mjQLbzZMot+8XzN94cUYjUa9IwkvYdI7gOg5s7l5cKnFbOb9z1ajqirxsdGdPsegwMzIKsyKxv6GkD5KKkTHdrv6yTuRH6nTbLzbOIUTzvoFJ06bK10qohX5UfdxRqOR8xfMwWqx8O7HX+BWVZLiOx+YpygwNbKacJOLzTXhaMibgtDPblcKqsmAAVnC39dVqiGsdM7gpAt/xaiJU6XgEG1I94ofMBgMnHX6DC45+wwaGhvJKyzu0vPGhNYzL7oCq+zXInRkx0KNIULvGOI45bhieJczmHrpbznhpGlScIh2SdHhJxRFYf7MyVx1/lm43W6y8gqOuTstQKrNztlxpbKImNBViSLTZn3Z9039+NS8gDmX38bQMSfpHUd4MSk6/IiiKMyafBLXXHg2JoOBzJz8LhUeESY3Z8eW0d/a1AcphWgrF9n4zRepGPisfjjbIs9g4dW/YWD6aL0jCS8nRYcfmnLSeK6/9DyCbFYOZeV2qfCwGDROj65gXOix93YRwtOOqEl6RxDdZMfKG1XjKEqcw9lX3ULywKF6RxI+QIoOP3XS2FHcdPkFRIaHsv9QJi73sXedVRSYGF7L7KgKTDLOQ/Sh/WqK3hFEN1QaonipYgKkzeKsq24hLln20BFdI0WHHxs7chi/vvoSBqYms+/gERqburYi6eCgJs6KLSNUdqkVfWSXS3ab9RWZhkG8UDyO2JEzOOvKm4mKk8XdRNcpWlfa3oVPKymv4JV3V/Hd9t30S0okMiKsS89rdBv4sjKKIoe1lxOKQKegcsB2DWak0PVWKgqbGM+ainhGnzKTWedcQXBo195LhDhKio4A0djUxDsffsFnazYQGhpCckJcl6a0qRp8Wx3BPllITPSy74JvJ179//buPLbN+77j+PshH5IPL1ESdR+WLPmSfB9J7Dhx6jhxeqct2m3BBqTd0GEtNmzAhhXDNhQb0K3ANgwbsD86dBjaYm3XBmvrJk3jxJntxPEV37Ys25J136LEm3xIPs+zP6Q4tuMskiyROr4vgKAokeJXkE19+Du+v5lt9xb5lVY0XknvojsT5LFnn2f3gc+iOhyFLkssQRI6VhDTNDly4gwvvXyYlJ5hTWP9jM9DuJ7wcDISwJRGYmKBHPL+HVuMq4UuQ9xn3F7JTydaMXxV7H/+d2jduVd6cIg5kzUdK4jNZuPZJ3fz9Rd/i8qyIG23bqNnZnbkfYs3yfPlY5RIPw+xQHot2Ta7mJgoXHLs5Lsjm3FVredzX/4T6TIqHpq0QV+BtrauI1gS4Psv/ZLL12/SUFeD3/fR0ydBR47PlY9xNlrE1YQXZNRDzKNO2Ta7aMRtRRxRnuDaYJa1m3fxzBe/QkmZhELx8GR6ZQWLxRP86Be/5uips5SVFFNRFpzxYwd1J8fCxSQMya1ifjznuMx37N8udBkr3m1nC4fjG4gmM+x48jme/OSXcLk9hS5LLBMSOla4XC7Hr958m5+/9r+gwOr62hkPn+qmwjuRAJ0peUESD69SiXDa9bVCl7Fi6YrGafd+Tg0oaD4/+z71m2zZvX/G676EmAkJHQLLsjh78Sr/9fNfMRaaZG1TAw515iMYnSmNd8LF6Ja8OImH0+7+PTQrVegyVpxhdRXHHB+js2+Y6lVNHPjCi6xa01rossQyJKFD3HG7p5/vvfRL2ju6aKirpsjvm/FjE4aN4+FiBnRtASsUy93bnj+nzuwvdBkrhoGdS+69nEzWEZ0IsX7roxz4wosESssLXZpYpiR0iHtMhCO89MobvHXmPC6nk1W1VTMeXrUsaEt4ORPzY8ioh5iDn3r+kUfM84UuY0UI24O85T7I9b4ITreHR/d/mkf2fxKHU5oBioUjoUN8gGmanDh7kf/59RGGRsZpaqjD4575CMZkVuVouJhQ1rmAVYrl6B88P+BL5quFLmNZM1G4qW3nRHYTI8ND1DVv4GOfeYFVazcWujSxAkjoEB9qYHiU//7la7x76RrFRX6qZ9jFFKY6mZ6P+bkU92HJ1loxQ1/V3uQv+W6hy1i2JuwVnPY8TdtwGtMw2LrnaZ74xBfx+IoKXZpYISR0iP9XNpvjjbdPc+j1o0SicZob63A5Zz6CEcqqnIwE5PwWMSOPq7f4ofrNQpex7GQUF5fde7lirmGor5uy6jr2feo3WL9ttzT7EnkloUPMSGdPHz/+xWtcab9FZXmQ8mDJrB7fkXRzJlpE0rQvUIViOfCQ5pr2uzI2No+6nC2c9+xjYCxMMhZhw/Y9PPWZF6TZlygICR1ixpKpNK8cOc5rx06SyWRoaqhDncXW2qypcCHu42rcJ2e4iA91xf0H+K1ooctY8iL2Us56n2HAqmCopwNfUTF7Dn6BbY8fwD6L/7dCzCcJHWJWLMviSvstfvLyYTq6eqmrqaK4aHbHW0dydk5FAvTJ9lrxAEc8f0WzebvQZSxZOVSuenZzXdtFeHKCydEhmlq28dRnX6B6VXOhyxMrnIQOMSfhaIyfvfomx069i81uo7GuZtadC3vTLk5FAkSllbq4y/c9/8o+81Shy1iS+hxrOOfdT8RwMdLXhcPpYue+j/PYgc9IK3OxKEjoEHNmWRanL1zhpVfeoG9omPo5jHoYFlyJ+7gY95GT3h4C+Bv3T3jR+nmhy1hS4rYA73qfZsCxmtDwAPHoJA3rNvH4wc/TuH6zLBYVi4aEDvHQRsZDHDp8lHfOXSKbzdFYX4vmml2PjoRh43S0iNtyjsuK99uuE3xL+bdCl7EkpBWNNvej3NS2E4snGBvopbisgkf2f4qte57G6ZIpTLG4SOgQ8+K9tR6HXj9G281OfF4PddWVs55yGdKdnIwEmMg5FqhSsdhtsfdxyPGNQpexqGUUJ+3aTtrdu0jnYKS/GwVo2bmX3c88T7CyptAlCvFAEjrEvNL1DG+dOc8rb77F0PAY1VXllBYHZjW8a1rQkXJzIeYnJus9VhwVgxval7FjFLqURSeHyk1tG23uR9EVjcmxYaKT49Q1rWfPs5+jeeMOORVWLGoSOsSCGAtN8uujJzh++hyJZIrG+tpZtVKHqfBxK+nhQtxHXMLHinLe80eUmqFCl7FoGNjodG3mqmc3aZuPVCLGaH83vuJSdj31CbbvfRbN4y10mUJ8JAkdYsFYlsXN2z0cev0ol9pu4nI6qK+tRrXPrkGYacGNpIeLcR8JCR8rwqvev6XFaC90GQVnotDtauWKew8JewAjl2NkoBvTMFi35REeP/h5KmobCl2mEDMmoUMsuGw2x6nzl3n5jeN0DwxSWVZKebB01ivqjenwcSnmJyGdTZe1f/d8h4PmsUKXUTAW0Odcx2XP40TtQUzTJDw+QnRijKpVzex59nnWbX0M+ywDvBCFJqFD5E04GuP14yc5cuIMkWiMhroafN7Z71YxLOhIergU90mPj2XqG+5DfM36caHLyDsThUFHE1c8e5hUK7Esi0holPD4CIHScrY+foAdTx6UA9rEkiWhQ+RdV+8Ah14/yrkr11EUhfqaqllvsQWwLOhKa1yK+QnJbpdl5bPOc/yr7Z8KXUbeZHFwW9vEDW07cXsJlmURC4eYGBnCV1zC5kf2sW3vM5SUVxW6VCEeioQOURCGYXDuchuvHj3Bra4eVLtKfW3VrE6wvVtf2sXFuI8ROc12WWiwjXHM+ceFLmPBxW1F3NS20+naTNbmwrIsEtEw48P9eP0BWnY8zvYnnqW8ur7QpQoxLyR0iILKZLK8e/kah4+f5FZXL06Hg7qayjmHj9GMg+sJL7fTGoZ0OF3Sbmpfxkmm0GUsiDG1hnZtJ/3ONVjK1L/TRCzC+FAfmtvL+m2PsePJg1TVNxW4UiHml4QOsSjoeoazl65x+Pg7dPT0oTld1FVX4nTObdpENxU6kh7akx4mZeplSTrl+VOqzKFClzFvDGz0OdfR7t7JhPr+NEkqEWdssBeH08naTbvYse85alevk9blYlmS0CEWlbSuc+biVQ4fP8nt3n6cDid11RVorrlPm4xkHLTL6MeS8zPvt9luXC50GQ9NVzQ6XFu4qW0jZX//bCI9lWRsoAfFZqOpdTs79z1Hw7pNEjbEsiahQyxKqXSady+1ceTEaTq6+7DZbNRVV866wdjdZPRjafkXz3/yvPl6ocuYExOFUbWeLlcLva71GMrUv7f31mxMjA5Nnc68bhM7932c1S3bpJOoWBEkdIhFLZPJcuFaO0fePk17ZzemaVJbVYHf93DdF4d1JzeSHhn9WMT+UHuNP+N7hS5jVsL2IF2uVrqdLfeMapimSSQ0QiQ0jsfnZ3XLVjY9uo/GdZuxq7LtW6wcEjrEkpDL5bhyo4M3T5zhansHeiZLZXnprM91uZ9uKtxKerghox+LzgHHNf7D/q1Cl/GRUoqXbtcGulythNWKe76WzWSYGB0kFY8SCJbTumMvLTv3UlnXKNMoYkWS0CGWFNM0ud7RxfHT57jcdpPJSAy/z0Nledmcen3cbSzjoDut0ZPWCEsAKbhSJc551+8XuowHyuKg37mGblcrw45Vd3agvCeViDMxMoBhGpRXr2Lrnv2s2/IoRSXBAlUsxOIgoUMsWYMjY1y42s6JsxfoGxzGtCwqyh5+9AMgkrPTnXLTk9YYzToAeVdaCG3ur+KxEoUuA5hapzHiWEWXq5V+5xpyyr0h972GXpNjIzicTuqbW9j82FM0b9yBS3MXqGohFhcJHWLJ0/UM1251cvrCFS613SQ8j6MfAAnDRs/0CMiQ7sKUAJI3xzx/QYPZU7Dn1xWNYUcDg87VDDpWo9s+2LY/m8kQCY0Sj0zgC5SwdvMuNu56grrmFlkcKsR9JHSIZWUhRz8AMqZC73QA6dddZGUR6oL6kfef2WOczetzTtrL74SMcbXmA1MnMNVRNzY5TnRyHEWxUVpeRcvOvWzYvpuyqrq81ivEUiKhQyxLCz36AZCzYFB30Z3W6E1rpOXk23n3954f8oL58oI+R1ZxMuxYxaBjNYPOJlI23wPvZ1kW8egkkdAYRi5LUUmQ5o07WLNxB/VrWmUKRYgZkNAhlr0HjX6UFBcRLC7G4Zi/7YrhrMpwxsnI9EVOwH14X9GO8U2+M+/fN2wPMuRoZNDZxKhai6V8eGBMJ+NMjo+gpxJ4/cXUNW1g/bbHaFy3CV+gZN5rE2I5k9AhVoz3Rj/OX7nOlfZbhCYjGKZJcZGfYEngobqePkjSsN0JIMMZJ6GsA0vWg8zKI2onP1X/+qG+R0ZxElKrCKk1jKtVhNTqB67NuFs2oxMOjZKMhnFqbiprG9mwYw+rN2yhtKJGtrsKMUcSOsSKFE8kudnVw/Vbt7lw9QajoQmy2Sw+n5dgSQCv2z3vf1iypsJY1nFnNGQ045Q1IR9BI0Ob9hVszOxlykQhYg8SUqsZV6sJqdVE7EH4iN+lZVlk0ili4QkSsQh2u43SihrWb9tNU8tWqlY1Y7fL9JkQD0tCh1jxdD1DZ28/7R1dnLvSxtDIOKl0GrdbI1hSTJHPuyDvbE0LJnIqI7qLUE4lnHUQyanoEkTuccnzdQJm+IFfSykeQmoV42oNIUc1IbXqA1tZP4xpGCRiYWLhCbJ6GqfLTSBYzuqWbTSu20j9mlacrrm33RdCfJCEDiHuksvl6BkYor2jm/NXr9M7MEQsnsTlchAsKaa4yL/g2yBTho1ITiU8fYlMX2KGfUVOzxz2fpNaa5iIPUjUXnrnOmov/chpkvvp6RTxyASJaASw8PoDVNatpql1GzUNa6iobUR1SGM4IRaKhA4hPoRlWQwMj9Le0cXFtht0dvcRjsVRAJ/XQ5Hfh9/rxW7Pz8iEYXEngITvu17q0zSKaeAjQZXbolTVKbXrBFWdUlWnzJ5Ctc0tbJmmSSIWJh6eQE+ncLo0AiVlNG7YSn3zemoa1uIvCcoaDSHyREKHEDNgWRZjE5Pcut1Dd/8g7R1djIYmicUTWJaFW9Mo8nsp8vtwFuCdcs5USJu2GV9007ZgoyYKFk7FwmUz77lod99WrDu3NZvJrTd+QHO5h+27Hnuo585lMyTjMVKJKHoyiaWA11dERW0DTS1ToxmV9atxOOd30bAQYmYkdAgxB5ZlMRqaoG9whL7BqemY/uERorEEuVwOh8MxFUJ8Ptyaa9G9k7Ys0C0FfTqAmNb79Vn3Xd/zuQfcTwGc9wWK2f64F48eotIWZe9TB2b8GNM0SSfjpOIxUokYhpHFbnfg8fkpLquirnkDFdX1VDeupThYseh+B0KsRNJIQIg5UBSFyrIglWVBdm1pBSASi9M/NELf4DAdXb109PQxNDJGWtex2Wz4fV78Xg9ut4ZDVQv6R1BRQFMsNJsBGAWr4z0uTxGp8NiHft2yLLIZnVQ8SjIeI6unQQGX24uvqJjmjduprFtNWVUtwao6vP756UArhJhfMtIhxAJJ6zoDw6P0DY7Q1TtAe2cX4WiMZCpNzjAAC4fqwK258Lg13Jq2KEdF8qG77TzJzlN88tPPY+Ry6OkEeiqFnkqQy2SwsHA4nLh9RZRX11PTuJay6jrKquooKavCrsr7JyGWAgkdQuSJYRiEwhFCE2FCkxHGJ8MMDo/SPzRCJB4nldJJ6/rUnRUFt2s6jLg1PJoLdZn8YbUsi2w2R1rXSaWnfubJkX7sg+fZ2LwKt9uDy+3B7fFRWllLeU09gdIKgpU1BCtrcXsf3KZcCLH4SegQosAsyyIWTxCajEyFkskwo+MT9A0OMzI+QSqVJplOY5omiqJgWhZ2mw2HQ8WhTl+mP1bv+lw+R0wMwyRn5MjmcuRyBrlcjuz09d0fw9RaEIeq4nY50TSNYHGAqvJStMwkOza3ECgto6ikDF+gVBpyCbHMSOgQYhHLZLJ3gkhoMkw8kSKVThOJxYlE40TjcWLxJJlslmwuR3b6OpczQFFQmAo1KAqq3Y4y/TngTpfOe6KJ8t6Vct/tqbBgGAbZbA7rvscpioKqqjhU+/T1VBDyetz4PVPbiwN+H8UBPyWBIkoCRVMfFxXhdEpfDCFWCgkdQixxpmmS1jMkU2lS6TTJ6ZGRVCpNIjV9O5kiEotjGAaWZWExvfvEsqZuT39u6jZYWGDx/n2nXyZ8HjdFfi8+jwdNc+HWXLhdLrTpdSmay3VnbYrmci54IzUhxNIioUMIIYQQeSFvQ4QQQgiRFxI6hBBCCJEXEjqEEEIIkRcSOoQQQgiRFxI6hBBCCJEXEjqEEEIIkRcSOoQQQgiRFxI6hBBCCJEXEjqEEEIIkRcSOoQQQgiRFxI6hBBCCJEXEjqEEEIIkRcSOoQQQgiRFxI6hBBCCJEXEjqEEEIIkRcSOoQQQgiRFxI6hBBCCJEXEjqEEEIIkRcSOoQQQgiRFxI6hBBCCJEXEjqEEEIIkRcSOoQQQgiRF/8HR51Su+kZIO4AAAAASUVORK5CYII=", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "quadrante_counts = df['Quadrante-Mama'].value_counts()\n", + "\n", + "# gráfico de pizza\n", + "plt.figure(figsize=(6, 6))\n", + "plt.pie(quadrante_counts, labels=quadrante_counts.index, autopct='%1.1f%%', shadow=True, startangle=140)\n", + "plt.axis('equal')\n", + "\n", + "# Adicione um título ao gráfico\n", + "plt.title('Localização do Nódulo')\n", + "\n", + "# Exiba o gráfico\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "id": "81861091", + "metadata": {}, + "source": [ + "Aqui é possível identificar que é mais comum que o nódulo esteja localizado no lado esquerdo do seio" + ] + }, + { + "cell_type": "markdown", + "id": "035cd58f", + "metadata": {}, + "source": [ + "![Exemplo de imagem][def]\n", + "\n", + "[def]: cancer-mama.jpg" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "\n", + "\n", + "Leitura do CSV" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "id": "90cbfe15", + "metadata": {}, + "outputs": [], + "source": [ + "import sqlite3\n", + "import csv\n", + "banco = sqlite3.connect(\"breast-cancer.db\") \n", + "cursor = banco.cursor()" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "id": "3de68e04", + "metadata": {}, + "outputs": [], + "source": [ + "file = open(\"breast-cancer.csv\", encoding= 'UTF-8') \n", + "\n", + "conteudo = csv.reader(file)" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "id": "4639ca13", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 18, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "cursor.execute ('\\\n", + " CREATE TABLE IF NOT EXISTS Mama (\\\n", + " Id INTEGER,\\\n", + " Recorrência TEXT,\\\n", + " Idade TEXT,\\\n", + " Menopausa TEXT,\\\n", + " Tamanho TEXT,\\\n", + " Linfonodos TEXT,\\\n", + " Capsula TEXT,\\\n", + " Malignidade INTEGER,\\\n", + " Mama TEXT,\\\n", + " Quadrante TEXT,\\\n", + " Radioterapia TEXT\\\n", + " )\\\n", + "')\n" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "id": "50ac7e55", + "metadata": {}, + "outputs": [], + "source": [ + "inserir_conteudo = '''\n", + " INSERT INTO Mama (\n", + " Id, Recorrência, Idade, Menopausa,\n", + " Tamanho, Linfonodos, Capsula,\n", + " Malignidade, Mama, Quadrante, Radioterapia\n", + " ) VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)\n", + "'''" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "id": "3a0d220a", + "metadata": {}, + "outputs": [], + "source": [ + "\n", + "cursor.executemany(inserir_conteudo, conteudo)\n", + "\n", + "cursor.executemany\n", + "selecionar_tudo = \"SELECT * FROM Mama\"\n", + "entradas = cursor.execute(selecionar_tudo).fetchall();\n", + "\n", + "banco.commit();\n", + "banco.close();\n", + "\n", + "file.close()" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.11.6" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +}