diff --git a/README.md b/README.md index 0f59f6f..54e8560 100644 --- a/README.md +++ b/README.md @@ -55,8 +55,3 @@ Los casos están agrupados en ocho dimensiones por tipo y similitud. La clasific - Guarda una ficha de trazabilidad por registro en `07_muestra_exploratoria/textos_fuente/`, usando paráfrasis y citas breves en lugar de copiar íntegramente publicaciones. - Registra explícitamente exclusiones, incertidumbres y casos refutadores; no los borres si ayudan a explicar decisiones de selección. - Si cambia el inventario, actualiza los recuentos del README de la muestra y revisa las etiquetas y el resumen de dimensiones. - -## Revisión de renders y carpetas QA - -La auditoría de octubre de 2026 encontró que estos renders corresponden al informe `Analisis_dolores_empresariales_y_digitalizacion_Bizkaia.docx`. `99_qa_render/` y `99_qa_render2/` contienen las mismas seis páginas; `99_qa_render_final/` y `99_qa_render_final2/`, las mismas cinco páginas de la versión final. Los nombres `render2` y `final2` son duplicados exactos de su pareja y candidatos para retirar si se decide conservar solo una copia de cada versión. `_qa_contexto_docx/` está vacía; no contiene renders del documento metodológico. Estos artefactos se conservan por ahora como registro de revisión. - diff --git a/preliminar_analysis_exploration.ipynb b/preliminar_analysis_exploration.ipynb index f2b91e4..9d02f08 100644 --- a/preliminar_analysis_exploration.ipynb +++ b/preliminar_analysis_exploration.ipynb @@ -1,1745 +1,1978 @@ { - "cells": [ - { - "cell_type": "markdown", - "id": "ef3a7c61", - "metadata": {}, - "source": [ - "# Análisis preliminar exploratorio" - ] - }, - { - "cell_type": "markdown", - "id": "f493c890", - "metadata": {}, - "source": [ - "## Índice\n", - "\n", - "1. [Objetivos del análisis](#objetivos-del-análisis)\n", - "2. [Inspección inicial de los datos](#inspección-inicial-de-los-datos)\n", - "3. [Limpieza y preparación](#limpieza-y-preparación)\n", - "4. [Análisis univariante](#análisis-univariante)\n", - "5. [Análisis de relaciones entre variables](#análisis-de-relaciones-entre-variables)\n", - "6. [Visualización de los datos](#visualización-de-los-datos)\n", - "7. [Conclusiones](#conclusiones)" - ] - }, - { - "cell_type": "markdown", - "id": "e688d0e7", - "metadata": {}, - "source": [ - "## 1. Objetivos del análisis" - ] - }, - { - "cell_type": "markdown", - "id": "13fb63e3", - "metadata": {}, - "source": [ - "Buscamos encontrar patrones que nos permitan decidir entre diferentes quejas o puntos de dolor que puedas ser susceptibles de resolverse con un software." - ] - }, - { - "cell_type": "markdown", - "id": "78908327", - "metadata": {}, - "source": [ - "## 2. Inspección inicial de los datos" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "id": "dcdef49a", - "metadata": {}, - "outputs": [], - "source": [ - "import pandas as pd\n", - "import os" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "id": "7c0e5e49", - "metadata": {}, - "outputs": [ + "cells": [ { - "data": { - "text/html": [ - "
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2EXP-003incluido2026-10 aprox.Javier SantosCyklop StrapesaFabricación de sistemas de embalaje industrial...26 empleados en 2025 según eInforma; por debaj...Operaciones/plantaEl director general relata que las urgencias y...https://es.linkedin.com/posts/javiersantospalo...https://www.cyklop.es/ | https://www.einforma....Autoría directiva y actividad industrial B2B v...Ficha de exclusión archivada: textos_fuente/EX...Planificación y operacionesUrgencias, coordinación y planificación diaria
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relato de proyecto conjunto) 1\n", - "Antonio Monteiro, gerente de MPS Soluciones 3D 1\n", - "Daniel F., director general/propietario (según perfil de LinkedIn) 1\n", - "Manuel Marrama Esteve, vinculado a STALART en LinkedIn 1\n", - "Name: count, Length: 88, dtype: int64\n", - "\n", - "--- actividad (86 únicos)---\n", - "actividad\n", - "Fabricación de vehículos de motor; automoción 5\n", - "Fabricación y transformación de carrocerías para vehículos industriales; B2B 1\n", - "Fabricación/instalación industrial B2B 1\n", - "Fabricación de sistemas de embalaje industrial B2B 1\n", - "Fabricación de ventanas y cerramientos aluminio/PVC para instaladores y otros clientes profesionales; Cataluña, España 1\n", - " ..\n", - "Fabricación y montaje de estructuras metálicas industriales; B2B 1\n", - "Fabricación de soluciones de acceso y equipamiento especial; suministro industrial B2B 1\n", - "Servicios de escaneado 3D, ingeniería inversa y fabricación aditiva para industria B2B 1\n", - "Fabricación y montaje de estructuras metálicas, calderería y bienes de equipo; B2B industrial 1\n", - "Diseño, fabricación y suministro de estructuras Steel Frame; B2B 1\n", - "Name: count, Length: 86, dtype: int64\n", - "\n", - "--- dimension_tipo (8 únicos)---\n", - "dimension_tipo\n", - "Planificación y operaciones 21\n", - "Continuidad y recuperación 18\n", - "Organización y personas 12\n", - "Demanda y estructura industrial 11\n", - "Equipos, instalaciones y seguridad 10\n", - "Sistemas y digitalización 7\n", - "Suministro y dependencias externas 6\n", - "Comercial y proyectos 5\n", - "Name: count, dtype: int64\n", - "\n", - "--- grupo_similitud (17 únicos)---\n", - "grupo_similitud\n", - "Flujo de trabajo, capacidad y pedidos 13\n", - "Ajuste, cierre o traslado de capacidad/planta 11\n", - "DANA: daños, interrupción y recuperación de planta/servicio 9\n", - "Fiabilidad, averías, mantenimiento y seguridad industrial 9\n", - "Incendio: parada, traslado y recuperación productiva 7\n", - "Adopción, integración y calidad de sistemas de información 6\n", - "Contratación, disponibilidad y formación de perfiles 6\n", - "Condiciones comerciales, coordinación de cliente y proyecto 5\n", - "Falta de componentes, servicios o recursos esenciales 5\n", - "Sobrecarga, ausencias y dependencia de personas clave 4\n", - "Urgencias, coordinación y planificación diaria 4\n", - "Control de producción, inventario y visibilidad operativa 4\n", - "Delegación, estructura y orientación organizativa 2\n", - "Interrupción técnica o retraso de puesta en marcha 2\n", - "Obsolescencia de equipos de proceso 1\n", - "Captura manual y transcripción de pedidos 1\n", - "Planificación de demanda, suministro y compras 1\n", - "Name: count, dtype: int64\n", - "\n", - "--- fuente_publicacion (89 únicos)---\n", - "fuente_publicacion\n", - "https://es.linkedin.com/posts/rodrigo-moralejo-248016123_porque-detr%C3%A1s-de-cada-f%C3%A1brica-hay-muchas-activity-7399358414637748224-eiik 2\n", - "https://es.linkedin.com/posts/cristobal-hernandez-mora-622989186_pymes-empresarios-activity-7492840134887964672-uLCL 1\n", - "https://es.linkedin.com/posts/alex-espel-ribera_crear-una-empresa-es-como-hacer-una-lasa%C3%B1a-activity-7302961121433444352-lJTL 1\n", - "https://es.linkedin.com/posts/javiersantospalomo_un-director-general-deber%C3%ADa-bajar-m%C3%A1s-a-planta-activity-7508405307010908160-5LXW 1\n", - "https://es.linkedin.com/posts/sergio-ferrer-fern%C3%A1ndez-50b52111a_hace-poco-rechazamos-un-pedido-grande-de-activity-7507719567067066369-cvx8 1\n", - " ..\n", - "https://es.linkedin.com/posts/joan-sg_te-lo-digo-claro-nadie-quiere-recibir-la-activity-7386431546712428545-bUZg 1\n", - "https://es.linkedin.com/pulse/el-proyecto-la-confianza-nos-eligen-svelt-spain-vhcbe 1\n", - "https://es.linkedin.com/posts/antonio-monteiro-99798414_fabricacion-ingenieria-industria-activity-7483067848039436289-LBrD 1\n", - "https://es.linkedin.com/pulse/por-qu%C3%A9-algunas-empresas-industriales-hemos-dejado-de-daniel-plkle 1\n", - "https://es.linkedin.com/posts/manuel-marrama-esteve-b2903230_se-nos-ha-ca%C3%ADdo-un-proyecto-el-dise%C3%B1o-cerrado-activity-7501169980604874754-dv8D 1\n", - "Name: count, Length: 89, dtype: int64\n" - ] - } - ], - "source": [ - "def col_distribution(df):\n", - " col_array = [\"estado\", \"actor\", \"actividad\", \"dimension_tipo\", \"grupo_similitud\", \"fuente_publicacion\"]\n", - "\n", - " for col in col_array:\n", - " print(f\"\\n--- {col} ({df[col].nunique()} únicos)---\")\n", - " print(df[col].value_counts())\n", - "\n", - "col_distribution(df)" - ] - }, - { - "cell_type": "code", - "execution_count": 12, - "id": "1fcebc57", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Rango Temporal 2024-11-03 00:00:00 a 2026-10-22 00:00:00\n" - ] }, { - "name": "stderr", - "output_type": "stream", - "text": [ - "C:\\Users\\Toni Ramos\\AppData\\Local\\Temp\\ipykernel_6872\\4052223768.py:1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", - " df[\"fecha_publicacion\"] = pd.to_datetime(df[\"fecha_publicacion\"], errors='coerce')\n" - ] - } - ], - "source": [ - "df[\"fecha_publicacion\"] = pd.to_datetime(df[\"fecha_publicacion\"], errors='coerce')\n", - "print(\"Rango Temporal\", df[\"fecha_publicacion\"].min(), \"a\", df[\"fecha_publicacion\"].max())" - ] - }, - { - "cell_type": "code", - "execution_count": 13, - "id": "ff7a928e", - "metadata": {}, - "outputs": [], - "source": [ - "df[\"texto_normalizado\"] = df[\"episodio_resumido\"].str.lower()\n", - "df[\"longitud_texto\"] = df[\"texto_normalizado\"].str.len()" - ] - }, - { - "cell_type": "code", - "execution_count": 14, - "id": "3a6c453b", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "89" + "cell_type": "markdown", + "id": "f493c890", + "metadata": {}, + "source": [ + "## Índice\n", + "\n", + "1. [Objetivos del análisis](#objetivos-del-análisis)\n", + "2. [Inspección inicial de los datos](#inspección-inicial-de-los-datos)\n", + "3. [Limpieza y preparación](#limpieza-y-preparación)\n", + "4. [Análisis univariante](#análisis-univariante)\n", + "5. [Análisis de relaciones entre variables](#análisis-de-relaciones-entre-variables)\n", + "6. [Visualización de los datos](#visualización-de-los-datos)\n", + "7. [Conclusiones](#conclusiones)" ] - }, - "execution_count": 14, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "df = df[df[\"estado\"] == \"incluido\"].copy()\n", - "len(df)" - ] - }, - { - "cell_type": "code", - "execution_count": 21, - "id": "0550010e", - "metadata": {}, - "outputs": [ + }, { - "data": { - "text/plain": [ - "dimension_tipo\n", - "Planificación y operaciones 21\n", - "Continuidad y recuperación 18\n", - "Organización y personas 11\n", - "Demanda y estructura industrial 11\n", - "Equipos, instalaciones y seguridad 10\n", - "Sistemas y digitalización 7\n", - "Suministro y dependencias externas 6\n", - "Comercial y proyectos 5\n", - "Name: count, dtype: int64" + "cell_type": "markdown", + "id": "e688d0e7", + "metadata": {}, + "source": [ + "## 1. Objetivos del análisis" ] - }, - "execution_count": 21, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "df[\"dimension_tipo\"].value_counts()" - ] - }, - { - "cell_type": "code", - "execution_count": 22, - "id": "19d02aff", - "metadata": {}, - "outputs": [ + }, { - "data": { - "text/plain": [ - "grupo_similitud\n", - "Flujo de trabajo, capacidad y pedidos 13\n", - "Ajuste, cierre o traslado de capacidad/planta 11\n", - "DANA: daños, interrupción y recuperación de planta/servicio 9\n", - "Fiabilidad, averías, mantenimiento y seguridad industrial 9\n", - "Incendio: parada, traslado y recuperación productiva 7\n", - "Adopción, integración y calidad de sistemas de información 6\n", - "Condiciones comerciales, coordinación de cliente y proyecto 5\n", - "Contratación, disponibilidad y formación de perfiles 5\n", - "Falta de componentes, servicios o recursos esenciales 5\n", - "Sobrecarga, ausencias y dependencia de personas clave 4\n", - "Urgencias, coordinación y planificación diaria 4\n", - "Control de producción, inventario y visibilidad operativa 4\n", - "Delegación, estructura y orientación organizativa 2\n", - "Interrupción técnica o retraso de puesta en marcha 2\n", - "Obsolescencia de equipos de proceso 1\n", - "Captura manual y transcripción de pedidos 1\n", - "Planificación de demanda, suministro y compras 1\n", - "Name: count, dtype: int64" + "cell_type": "markdown", + "id": "13fb63e3", + "metadata": {}, + "source": [ + "Buscamos encontrar patrones que nos permitan decidir entre diferentes quejas o puntos de dolor que puedas ser susceptibles de resolverse con un software." ] - }, - "execution_count": 22, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "df[\"grupo_similitud\"].value_counts()" - ] - }, - { - "cell_type": "code", - "execution_count": 23, - "id": "038919d5", - "metadata": {}, - "outputs": [ + }, { - "data": { - "text/plain": [ - "fecha_publicacion\n", - "2024-11 1\n", - "2024-12 1\n", - "2025-01 2\n", - "2025-03 1\n", - "2025-04 3\n", - "2025-05 1\n", - "2025-06 1\n", - "2025-07 2\n", - "2025-08 1\n", - "2025-09 1\n", - "2025-10 1\n", - "2025-11 3\n", - "2025-12 2\n", - "2026-01 3\n", - "2026-02 5\n", - "2026-03 1\n", - "2026-04 2\n", - "2026-05 4\n", - "2026-06 4\n", - "2026-07 2\n", - "2026-08 1\n", - "2026-09 3\n", - "2026-10 6\n", - "Freq: M, Name: count, dtype: int64" + "cell_type": "markdown", + "id": "a1000001", + "metadata": {}, + "source": [ + "**Objetivo:** identificar los puntos de dolor relacionados con la digitalización más frecuentes y relevantes en pymes industriales B2B, para decidir cuál es más susceptible de resolverse con una aplicación.\n", + "\n", + "**Preguntas guía:**\n", + "1. ¿Qué dolores aparecen con más frecuencia?\n", + "2. ¿Qué fuentes y momentos los reportan?\n", + "3. ¿Qué dolores son a la vez frecuentes y crecientes (crónicos vs. coyunturales)?\n", + "4. ¿Cuáles son abordables con una app?" ] - }, - "execution_count": 23, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "df[\"fecha_publicacion\"].dt.to_period(\"M\").value_counts().sort_index()" - ] - }, - { - "cell_type": "code", - "execution_count": 25, - "id": "f70379f0", - "metadata": {}, - "outputs": [ + }, { - "data": { - "text/plain": [ - "count 89.000000\n", - "mean 190.157303\n", - "std 81.263446\n", - "min 6.000000\n", - "25% 156.000000\n", - "50% 190.000000\n", - "75% 257.000000\n", - "max 341.000000\n", - "Name: longitud_texto, dtype: float64" + "cell_type": "markdown", + "id": "78908327", + "metadata": {}, + "source": [ + "## 2. Inspección inicial de los datos" ] - }, - "execution_count": 25, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "df[\"longitud_texto\"].describe()" - ] - }, - { - "cell_type": "code", - "execution_count": 26, - "id": "9e26a65c", - "metadata": {}, - "outputs": [ + }, { - "data": { - "text/plain": [ - "np.int64(52)" + "cell_type": "markdown", + "id": "a1000002", + "metadata": {}, + "source": [ + "Cargamos el dataset y obtenemos su \"carné de identidad\": tamaño, columnas, tipos, nulos y duplicados. Esto determina las decisiones de las secciones siguientes." ] - }, - "execution_count": 26, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "df[\"actividad\"].str.contains(\"B2B\", case=False, na=False).sum()" - ] - }, - { - "cell_type": "code", - "execution_count": 27, - "id": "0dcfba56", - "metadata": {}, - "outputs": [ + }, { - "data": { - "text/html": [ - "
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idepisodio_resumidogrupo_similitud
31EXP-032control de calidad e información financieraAdopción, integración y calidad de sistemas de...
32EXP-033pedidos e incidenciasControl de producción, inventario y visibilida...
35EXP-036Preimpresión y fabricación de planchasObsolescencia de equipos de proceso
37EXP-038Recepción y transcripción de pedidos B2BCaptura manual y transcripción de pedidos
41EXP-042DiseñoPlanificación de demanda, suministro y compras
47EXP-048Fiabilidad productiva y mantenimiento preventivoFiabilidad, averías, mantenimiento y seguridad...
50EXP-051Seguridad de instalaciones de la nave de montajeFiabilidad, averías, mantenimiento y seguridad...
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" + "cell_type": "code", + "execution_count": 60, + "id": "a1000003", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "(90, 15)" + ] + }, + "execution_count": 60, + "metadata": {}, + "output_type": "execute_result" + } ], - "text/plain": [ - " id episodio_resumido \\\n", - "31 EXP-032 control de calidad e información financiera \n", - "32 EXP-033 pedidos e incidencias \n", - "35 EXP-036 Preimpresión y fabricación de planchas \n", - "37 EXP-038 Recepción y transcripción de pedidos B2B \n", - "41 EXP-042 Diseño \n", - "47 EXP-048 Fiabilidad productiva y mantenimiento preventivo \n", - "50 EXP-051 Seguridad de instalaciones de la nave de montaje \n", - "\n", - " grupo_similitud \n", - "31 Adopción, integración y calidad de sistemas de... \n", - "32 Control de producción, inventario y visibilida... \n", - "35 Obsolescencia de equipos de proceso \n", - "37 Captura manual y transcripción de pedidos \n", - "41 Planificación de demanda, suministro y compras \n", - "47 Fiabilidad, averías, mantenimiento y seguridad... \n", - "50 Fiabilidad, averías, mantenimiento y seguridad... " + "source": [ + "import pandas as pd\n", + "\n", + "df = pd.read_csv(\"07_muestra_exploratoria/casos_agrupados_por_dimensiones.csv\")\n", + "df.shape" ] - }, - "execution_count": 27, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "df[df[\"longitud_texto\"] < 50][[\"id\", \"episodio_resumido\", \"grupo_similitud\"]]" - ] - }, - { - "cell_type": "code", - "execution_count": 28, - "id": "4c9a8514", - "metadata": {}, - "outputs": [ + }, { - "data": { - "text/html": [ - "
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Adopción, integración y calidad de sistemas de información020
Ajuste, cierre o traslado de capacidad/planta029
Condiciones comerciales, coordinación de cliente y proyecto001
Contratación, disponibilidad y formación de perfiles012
Control de producción, inventario y visibilidad operativa020
DANA: daños, interrupción y recuperación de planta/servicio110
Delegación, estructura y orientación organizativa010
Falta de componentes, servicios o recursos esenciales014
Fiabilidad, averías, mantenimiento y seguridad industrial052
Flujo de trabajo, capacidad y pedidos1010
Interrupción técnica o retraso de puesta en marcha011
Obsolescencia de equipos de proceso001
Planificación de demanda, suministro y compras010
Sobrecarga, ausencias y dependencia de personas clave010
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idestadofecha_publicacionactorempresaactividadempleados_evidenciaprocesoepisodio_resumidofuente_publicacionfuente_empresa_o_tamanocriterio_observadonotasdimension_tipogrupo_similitud
0EXP-001incluido2026-08 aprox.Cristóbal Hernández MoraRecapol SAFabricación y transformación de carrocerías pa...35 en 2025 según eInforma; actividad industria...Operaciones/planificación de capacidadEl gerente describe cómo ausencias en taller p...https://es.linkedin.com/posts/cristobal-hernan...https://www.recapol.com/recapol-carrocerias-co...Primera persona y autoría empresarial verifica...Ficha archivada: textos_fuente/EXP-001.txt. Fe...Organización y personasSobrecarga, ausencias y dependencia de persona...
1EXP-002incluido2025 aprox.Alex Espel RiberaInprisa AutomFabricación/instalación industrial B2B20 empleados informados para 2025; por debajo ...Producción/compras/atención a clientesRelato directo sobre retrasos de proyectos, pl...https://es.linkedin.com/posts/alex-espel-riber...https://www.inprisa.com/ | https://www.einform...Autoría directiva y actividad industrial B2B v...Ficha de exclusión archivada: textos_fuente/EX...Planificación y operacionesUrgencias, coordinación y planificación diaria
2EXP-003incluido2026-10 aprox.Javier SantosCyklop StrapesaFabricación de sistemas de embalaje industrial...26 empleados en 2025 según eInforma; por debaj...Operaciones/plantaEl director general relata que las urgencias y...https://es.linkedin.com/posts/javiersantospalo...https://www.cyklop.es/ | https://www.einforma....Autoría directiva y actividad industrial B2B v...Ficha de exclusión archivada: textos_fuente/EX...Planificación y operacionesUrgencias, coordinación y planificación diaria
3EXP-004incluido2026-09 aprox.Sergio Ferrer FernándezFinestres Macrisal SLFabricación de ventanas y cerramientos alumini...90 en 2026 según eInforma; empresa declara fab...Gestión comercial, precios y cumplimiento de p...El CEO relata que rechazaron un pedido grande ...https://es.linkedin.com/posts/sergio-ferrer-fe...https://www.macrisal.com/sergio-ferrer/ | http...Primera persona y cargo de CEO corroborados po...Ficha archivada: textos_fuente/EXP-004.txt. Fe...Comercial y proyectosCondiciones comerciales, coordinación de clien...
4EXP-005incluido2026-10-18Eduardo Sánchez-Mateos LópezTecnove Fiberglass SLDiseño y fabricación de carrozados isotermos/f...91 en 2025 según eInforma; LinkedIn indica 51–...Coordinación interdepartamental, priorización,...En un relato en primera persona como director ...https://es.linkedin.com/pulse/el-relato-que-el...https://es.linkedin.com/in/eduardosmateos | ht...Autor identificado como DG de fabricante indus...Ficha archivada: textos_fuente/EXP-005.txt. Ep...Planificación y operacionesUrgencias, coordinación y planificación diaria
5EXP-006incluido2026-08 aprox. (post retrospectivo sobre event...LASCARAY-LEA (voz corporativa; empresa familia...Lascaray SA / LASCARAY-LEAFabricación de productos químicos: cosmética y...120 trabajadores en 2026 según Informa/eInform...Continuidad productiva, instalaciones, segurid...La empresa relata que un incendio destruyó por...https://es.linkedin.com/posts/lascaray_renacim...https://www.einforma.com/informacion-empresa/l...Publicación de cuenta oficial en primera perso...Ficha archivada: textos_fuente/EXP-006.txt. Co...Continuidad y recuperaciónIncendio: parada, traslado y recuperación prod...
6EXP-007incluido2026-10-15 aprox.Sergio Ferrer FernándezFinestres Macrisal SLFabricación de ventanas y cerramientos alumini...90 en 2026 según eInforma; publicación declara...Organización del trabajo, asignación de incide...El CEO relata que un operario llevaba semanas ...https://es.linkedin.com/posts/sergio-ferrer-fe...https://www.macrisal.com/sergio-ferrer/ | http...Autor CEO verificado; voz directa sobre hecho ...Ficha archivada: textos_fuente/EXP-007.txt. Ep...Organización y personasSobrecarga, ausencias y dependencia de persona...
7EXP-008incluido2025-06-26Enrique ChovíChoví SLFabricación de salsas y soluciones alimentaria...257 profesionales al cierre de 2024; eInforma ...Gobierno y organización, delegación de decisio...El director general relata que la gestión fami...https://es.linkedin.com/pulse/las-claves-y-des...https://www.chovi.com/ | https://www.revistain...Autor director general/segunda generación y ex...Ficha archivada: textos_fuente/EXP-008.txt. No...Organización y personasDelegación, estructura y orientación organizativa
8EXP-009incluido2026-10 aprox.Meriyeny del CarmenGrabalfa GroupPreimpresión y gestión de proyectos de packagi...Más de 200 personas en el equipo según publica...Orientación al cliente, organización y cultura...La CEO relata que, al gestionar la empresa, id...https://es.linkedin.com/posts/justb2b_%3F%3F%3...https://es.linkedin.com/posts/grabalfagroup_co...CEO identificada habla de su propia empresa en...Ficha archivada: textos_fuente/EXP-009.txt. Fe...Organización y personasDelegación, estructura y orientación organizativa
9EXP-010incluido2024-11-03ITV-Ice Makers (cuenta corporativa)ITV Ice Makers SLFabricación de máquinas productoras de hielo y...173 empleados en 2025 según eInforma; fabrican...Continuidad productiva, daños en instalaciones...La empresa comunicó que la DANA afectó su fábr...https://es.linkedin.com/posts/itv-ice-makers_i...https://www.einforma.com/informacion-empresa/i...Publicación de la cuenta de la propia empresa;...Ficha archivada: textos_fuente/EXP-010.txt. Co...Continuidad y recuperaciónDANA: daños, interrupción y recuperación de pl...
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(post retrospectivo sobre event... \n", + "6 EXP-007 incluido 2026-10-15 aprox. \n", + "7 EXP-008 incluido 2025-06-26 \n", + "8 EXP-009 incluido 2026-10 aprox. \n", + "9 EXP-010 incluido 2024-11-03 \n", + "\n", + " actor \\\n", + "0 Cristóbal Hernández Mora \n", + "1 Alex Espel Ribera \n", + "2 Javier Santos \n", + "3 Sergio Ferrer Fernández \n", + "4 Eduardo Sánchez-Mateos López \n", + "5 LASCARAY-LEA (voz corporativa; empresa familia... \n", + "6 Sergio Ferrer Fernández \n", + "7 Enrique Choví \n", + "8 Meriyeny del Carmen \n", + "9 ITV-Ice Makers (cuenta corporativa) \n", + "\n", + " empresa \\\n", + "0 Recapol SA \n", + "1 Inprisa Autom \n", + "2 Cyklop Strapesa \n", + "3 Finestres Macrisal SL \n", + "4 Tecnove Fiberglass SL \n", + "5 Lascaray SA / LASCARAY-LEA \n", + "6 Finestres Macrisal SL \n", + "7 Choví SL \n", + "8 Grabalfa Group \n", + "9 ITV Ice Makers SL \n", + "\n", + " actividad \\\n", + "0 Fabricación y transformación de carrocerías pa... \n", + "1 Fabricación/instalación industrial B2B \n", + "2 Fabricación de sistemas de embalaje industrial... \n", + "3 Fabricación de ventanas y cerramientos alumini... \n", + "4 Diseño y fabricación de carrozados isotermos/f... \n", + "5 Fabricación de productos químicos: cosmética y... \n", + "6 Fabricación de ventanas y cerramientos alumini... \n", + "7 Fabricación de salsas y soluciones alimentaria... \n", + "8 Preimpresión y gestión de proyectos de packagi... \n", + "9 Fabricación de máquinas productoras de hielo y... \n", + "\n", + " empleados_evidencia \\\n", + "0 35 en 2025 según eInforma; 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"Obsolescencia de equipos de proceso 1 \n", - "Planificación de demanda, suministro y compras 0 \n", - "Sobrecarga, ausencias y dependencia de personas... 0 \n", - "Urgencias, coordinación y planificación diaria 0 \n", - "\n", - "dimension_tipo Organización y personas \\\n", - "grupo_similitud \n", - "Adopción, integración y calidad de sistemas de ... 0 \n", - "Ajuste, cierre o traslado de capacidad/planta 0 \n", - "Captura manual y transcripción de pedidos 0 \n", - "Condiciones comerciales, coordinación de client... 0 \n", - "Contratación, disponibilidad y formación de per... 5 \n", - "Control de producción, inventario y visibilidad... 0 \n", - "DANA: daños, interrupción y recuperación de pla... 0 \n", - "Delegación, estructura y orientación organizativa 2 \n", - "Falta de componentes, servicios o recursos esen... 0 \n", - "Fiabilidad, averías, mantenimiento y seguridad ... 0 \n", - "Flujo de trabajo, capacidad y pedidos 0 \n", - "Incendio: parada, traslado y recuperación produ... 0 \n", - "Interrupción técnica o retraso de puesta en marcha 0 \n", - "Obsolescencia de equipos de proceso 0 \n", - "Planificación de demanda, suministro y compras 0 \n", - "Sobrecarga, ausencias y dependencia de personas... 4 \n", - "Urgencias, coordinación y planificación diaria 0 \n", - "\n", - "dimension_tipo Planificación y operaciones \\\n", - "grupo_similitud \n", - "Adopción, integración y calidad de sistemas de ... 0 \n", - "Ajuste, cierre o traslado de capacidad/planta 0 \n", - "Captura manual y transcripción de pedidos 0 \n", - "Condiciones comerciales, coordinación de client... 0 \n", - "Contratación, disponibilidad y formación de per... 0 \n", - "Control de producción, inventario y visibilidad... 4 \n", - "DANA: daños, interrupción y recuperación de pla... 0 \n", - "Delegación, estructura y orientación organizativa 0 \n", - "Falta de componentes, servicios o recursos esen... 0 \n", - "Fiabilidad, averías, mantenimiento y seguridad ... 0 \n", - "Flujo de trabajo, capacidad y pedidos 13 \n", - "Incendio: parada, traslado y recuperación produ... 0 \n", - "Interrupción técnica o retraso de puesta en marcha 0 \n", - "Obsolescencia de equipos de proceso 0 \n", - "Planificación de demanda, suministro y compras 0 \n", - "Sobrecarga, ausencias y dependencia de personas... 0 \n", - "Urgencias, coordinación y planificación diaria 4 \n", - "\n", - "dimension_tipo Sistemas y digitalización \\\n", - "grupo_similitud \n", - "Adopción, integración y calidad de sistemas de ... 6 \n", - "Ajuste, cierre o traslado de capacidad/planta 0 \n", - "Captura manual y transcripción de pedidos 1 \n", - "Condiciones comerciales, coordinación de client... 0 \n", - "Contratación, disponibilidad y formación de per... 0 \n", - "Control de producción, inventario y visibilidad... 0 \n", - "DANA: daños, interrupción y recuperación de pla... 0 \n", - "Delegación, estructura y orientación organizativa 0 \n", - "Falta de componentes, servicios o recursos esen... 0 \n", - "Fiabilidad, averías, mantenimiento y seguridad ... 0 \n", - "Flujo de trabajo, capacidad y pedidos 0 \n", - "Incendio: parada, traslado y recuperación produ... 0 \n", - "Interrupción técnica o retraso de puesta en marcha 0 \n", - "Obsolescencia de equipos de proceso 0 \n", - "Planificación de demanda, suministro y compras 0 \n", - "Sobrecarga, ausencias y dependencia de personas... 0 \n", - "Urgencias, coordinación y planificación diaria 0 \n", - "\n", - "dimension_tipo Suministro y dependencias externas \n", - "grupo_similitud \n", - "Adopción, integración y calidad de sistemas de ... 0 \n", - "Ajuste, cierre o traslado de capacidad/planta 0 \n", - "Captura manual y transcripción de pedidos 0 \n", - "Condiciones comerciales, coordinación de client... 0 \n", - "Contratación, disponibilidad y formación de per... 0 \n", - "Control de producción, inventario y visibilidad... 0 \n", - "DANA: daños, interrupción y recuperación de pla... 0 \n", - "Delegación, estructura y orientación organizativa 0 \n", - "Falta de componentes, servicios o recursos esen... 5 \n", - "Fiabilidad, averías, mantenimiento y seguridad ... 0 \n", - "Flujo de trabajo, capacidad y pedidos 0 \n", - "Incendio: parada, traslado y recuperación produ... 0 \n", - "Interrupción técnica o retraso de puesta en marcha 0 \n", - "Obsolescencia de equipos de proceso 0 \n", - "Planificación de demanda, suministro y compras 1 \n", - "Sobrecarga, ausencias y dependencia de personas... 0 \n", - "Urgencias, coordinación y planificación diaria 0 " + "source": [ + "df.info()" ] - }, - "execution_count": 29, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "pd.crosstab(df[\"grupo_similitud\"], df[\"dimension_tipo\"])" - ] - }, - { - "cell_type": "code", - "execution_count": 32, - "id": "e9f0dd9a", - "metadata": {}, - "outputs": [ + }, { - "name": "stdout", - "output_type": "stream", - "text": [ - " excel: 0\n", - " whatsapp: 0\n", - " manual: 3\n", - " papel: 1\n", - " a mano: 0\n", - " hoja de calculo: 0\n", - " software: 0\n", - " erp: 2\n", - " app: 0\n", - " llamada: 0\n", - " email: 0\n" - ] - } - ], - "source": [ - "communication_keywords = [\"excel\", \"whatsapp\", \"manual\", \"papel\", \"a mano\", \"hoja de calculo\",\n", - " \"software\", \"erp\", \"app\", \"llamada\", \"email\"]\n", - "for kw in communication_keywords:\n", - " print(f\"{kw:>16}: {df['texto_normalizado'].str.contains(kw, na=False).sum()}\")" - ] - }, - { - "cell_type": "code", - "execution_count": 33, - "id": "3312e42c", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "np.int64(38)" - ] - }, - "execution_count": 33, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "df[\"fecha_publicacion\"].isna().sum()" - ] - }, - { - "cell_type": "code", - "execution_count": 35, - "id": "8b74536b", - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
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idfecha_publicacion
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idestadofecha_publicacionactorempresaactividadempleados_evidenciaprocesoepisodio_resumidofuente_publicacionfuente_empresa_o_tamanocriterio_observadonotasdimension_tipogrupo_similitud
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Sergio Ferrer Fernández \n", + "freq 1 89 2 2 \n", + "\n", + " empresa \\\n", + "count 90 \n", + "unique 86 \n", + "top Stellantis España S.L. — planta de Vigo \n", + "freq 3 \n", + "\n", + " actividad \\\n", + "count 90 \n", + "unique 86 \n", + "top Fabricación de vehículos de motor; automoción \n", + "freq 5 \n", + "\n", + " empleados_evidencia \\\n", + "count 90 \n", + "unique 89 \n", + "top 90 empleados en 2026 segun eInforma/Empresite;... \n", + "freq 2 \n", + "\n", + " proceso \\\n", + "count 90 \n", + "unique 90 \n", + "top Operaciones/planificación de capacidad \n", + "freq 1 \n", + "\n", + " episodio_resumido \\\n", + "count 90 \n", + "unique 90 \n", + "top El gerente describe cómo ausencias en taller p... \n", + "freq 1 \n", + "\n", + " fuente_publicacion \\\n", + "count 90 \n", + "unique 89 \n", + "top https://es.linkedin.com/posts/rodrigo-moralejo... \n", + "freq 2 \n", + "\n", + " fuente_empresa_o_tamano \\\n", + "count 90 \n", + "unique 88 \n", + "top https://www.einforma.com/informacion-empresa/f... \n", + "freq 2 \n", + "\n", + " criterio_observado \\\n", + "count 90 \n", + "unique 89 \n", + "top Autoría directiva y actividad industrial B2B v... \n", + "freq 2 \n", + "\n", + " notas \\\n", + "count 90 \n", + "unique 90 \n", + "top Ficha archivada: textos_fuente/EXP-001.txt. Fe... \n", + "freq 1 \n", + "\n", + " dimension_tipo grupo_similitud \n", + "count 90 90 \n", + "unique 8 17 \n", + "top Planificación y operaciones Flujo de trabajo, capacidad y pedidos \n", + "freq 21 13 " + ] + }, + "execution_count": 63, + "metadata": {}, + "output_type": "execute_result" + } ], - "text/plain": [ - " id fecha_publicacion\n", - "0 EXP-001 2026-08 aprox.\n", - "1 EXP-002 2025 aprox.\n", - "2 EXP-003 2026-10 aprox.\n", - "3 EXP-004 2026-09 aprox.\n", - "4 EXP-006 2026-08 aprox. (post retrospectivo sobre event...\n", - "5 EXP-007 2026-10-15 aprox.\n", - "6 EXP-009 2026-10 aprox.\n", - "7 EXP-011 2024-10/11 aprox.\n", - "8 EXP-012 2024-11 aprox.\n", - "9 EXP-014 2024-10-30 aprox." + "source": [ + "df.describe(include=\"all\")" + ] + }, + { + "cell_type": "code", + "execution_count": 64, + "id": "2e94fc5a", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "id 0\n", + "estado 0\n", + "fecha_publicacion 0\n", + "actor 0\n", + "empresa 0\n", + "actividad 0\n", + "empleados_evidencia 0\n", + "proceso 0\n", + "episodio_resumido 0\n", + "fuente_publicacion 0\n", + "fuente_empresa_o_tamano 0\n", + "criterio_observado 0\n", + "notas 0\n", + "dimension_tipo 0\n", + "grupo_similitud 0\n", + "dtype: int64\n", + "0\n" + ] + } + ], + "source": [ + "print(df.isna().sum())\n", + "print(df.duplicated().sum())" + ] + }, + { + "cell_type": "markdown", + "id": "a1000004", + "metadata": {}, + "source": [ + "## 3. Limpieza y preparación" + ] + }, + { + "cell_type": "markdown", + "id": "a1000005", + "metadata": {}, + "source": [ + "Filtramos los excluidos, parseamos las fechas (que llevan el sufijo \"aprox.\" y tienen precisión mixta: día/month/año) y preparamos el texto normalizado y su longitud." + ] + }, + { + "cell_type": "code", + "execution_count": 65, + "id": "3a6c453b", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "89" + ] + }, + "execution_count": 65, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df = df[df[\"estado\"] == \"incluido\"].copy()\n", + "len(df)" + ] + }, + { + "cell_type": "code", + "execution_count": 66, + "id": "1fcebc57", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "precision\n", + "dia 54\n", + "mes(aprox) 18\n", + "otro 15\n", + "anio(aprox) 2\n", + "Name: count, dtype: int64" + ] + }, + "execution_count": 66, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "import re\n", + "\n", + "def parse_fecha(v):\n", + " \"\"\"Devuelve (fecha_iso, precision). Imputa punto neutro: día 15 del mes, julio del año.\"\"\"\n", + " s = str(v).split(\"aprox\")[0].strip().split(\"/\")[0]\n", + " m = re.fullmatch(r\"(\\d{4})(?:-(\\d{2}))?(?:-(\\d{2}))?\", s)\n", + " if not m:\n", + " return (None, \"otro\")\n", + " a, me, d = m.groups()\n", + " if d:\n", + " return (f\"{a}-{me}-{d}\", \"dia\")\n", + " if me:\n", + " return (f\"{a}-{me}-15\", \"mes(aprox)\")\n", + " return (f\"{a}-07-01\", \"anio(aprox)\")\n", + "\n", + "raw = pd.read_csv(\"07_muestra_exploratoria/casos_agrupados_por_dimensiones.csv\") # releído: la columna original se pierde al convertir\n", + "parsed = raw[\"fecha_publicacion\"].map(parse_fecha)\n", + "raw = raw.assign(fecha_ok=[p[0] for p in parsed], precision=[p[1] for p in parsed])\n", + "df = df.merge(raw[[\"id\", \"fecha_ok\", \"precision\"]], on=\"id\", how=\"left\")\n", + "df[\"fecha_ok\"] = pd.to_datetime(df[\"fecha_ok\"])\n", + "df[\"precision\"].value_counts()" + ] + }, + { + "cell_type": "code", + "execution_count": 67, + "id": "ff7a928e", + "metadata": {}, + "outputs": [], + "source": [ + "# texto normalizado para búsqueda de patrones (minúsculas, sin tildes)\n", + "df[\"texto_norm\"] = (df[\"episodio_resumido\"].str.lower()\n", + " .str.normalize(\"NFKD\").str.encode(\"ascii\", errors=\"ignore\").str.decode(\"utf-8\"))\n", + "df[\"longitud_texto\"] = df[\"episodio_resumido\"].str.len()" + ] + }, + { + "cell_type": "code", + "execution_count": 68, + "id": "a1000006", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "id 89\n", + "estado 1\n", + "fecha_publicacion 84\n", + "actor 87\n", + "empresa 85\n", + "actividad 85\n", + "empleados_evidencia 88\n", + "proceso 89\n", + "episodio_resumido 89\n", + "fuente_publicacion 88\n", + "fuente_empresa_o_tamano 87\n", + "criterio_observado 88\n", + "notas 89\n", + "dimension_tipo 8\n", + "grupo_similitud 17\n", + "fecha_ok 65\n", + "precision 4\n", + "texto_norm 89\n", + "longitud_texto 72\n", + "dtype: int64" + ] + }, + "execution_count": 68, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df.nunique()" + ] + }, + { + "cell_type": "markdown", + "id": "a1000007", + "metadata": {}, + "source": [ + "`actor`, `actividad` y `fuente_publicacion` tienen ~un valor único por fila: son metadatos, no categorías. Las variables de análisis son `dimension_tipo`, `grupo_similitud`, `fecha_ok` y el texto." + ] + }, + { + "cell_type": "markdown", + "id": "a1000008", + "metadata": {}, + "source": [ + "## 4. Análisis univariante" + ] + }, + { + "cell_type": "markdown", + "id": "a1000009", + "metadata": {}, + "source": [ + "Números primero, gráficos después (sección 6): qué dolores se repiten, cuándo se publican y con qué tamaño de texto." + ] + }, + { + "cell_type": "code", + "execution_count": 69, + "id": "0550010e", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "dimension_tipo\n", + "Planificación y operaciones 21\n", + "Continuidad y recuperación 18\n", + "Organización y personas 11\n", + "Demanda y estructura industrial 11\n", + "Equipos, instalaciones y seguridad 10\n", + "Sistemas y digitalización 7\n", + "Suministro y dependencias externas 6\n", + "Comercial y proyectos 5\n", + "Name: count, dtype: int64" + ] + }, + "execution_count": 69, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df[\"dimension_tipo\"].value_counts()" + ] + }, + { + "cell_type": "code", + "execution_count": 70, + "id": "a100000a", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "grupo_similitud\n", + "Flujo de trabajo, capacidad y pedidos 13\n", + "Ajuste, cierre o traslado de capacidad/planta 11\n", + "DANA: daños, interrupción y recuperación de planta/servicio 9\n", + "Fiabilidad, averías, mantenimiento y seguridad industrial 9\n", + "Incendio: parada, traslado y recuperación productiva 7\n", + "Adopción, integración y calidad de sistemas de información 6\n", + "Condiciones comerciales, coordinación de cliente y proyecto 5\n", + "Contratación, disponibilidad y formación de perfiles 5\n", + "Falta de componentes, servicios o recursos esenciales 5\n", + "Sobrecarga, ausencias y dependencia de personas clave 4\n", + "Urgencias, coordinación y planificación diaria 4\n", + "Control de producción, inventario y visibilidad operativa 4\n", + "Delegación, estructura y orientación organizativa 2\n", + "Interrupción técnica o retraso de puesta en marcha 2\n", + "Obsolescencia de equipos de proceso 1\n", + "Captura manual y transcripción de pedidos 1\n", + "Planificación de demanda, suministro y compras 1\n", + "Name: count, dtype: int64" + ] + }, + "execution_count": 70, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df[\"grupo_similitud\"].value_counts()" + ] + }, + { + "cell_type": "code", + "execution_count": 71, + "id": "a100000b", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "fecha_ok\n", + "2024-10 2\n", + "2024-11 5\n", + "2024-12 1\n", + "2025-01 2\n", + "2025-03 1\n", + "2025-04 3\n", + "2025-05 1\n", + "2025-06 2\n", + "2025-07 3\n", + "2025-08 1\n", + "2025-09 2\n", + "2025-10 1\n", + "2025-11 3\n", + "2025-12 2\n", + "2026-01 4\n", + "2026-02 6\n", + "2026-03 1\n", + "2026-04 1\n", + "2026-05 5\n", + "2026-06 5\n", + "2026-07 2\n", + "2026-08 4\n", + "2026-09 5\n", + "2026-10 10\n", + "Freq: M, dtype: int64" + ] + }, + "execution_count": 71, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df[df[\"precision\"] != \"anio(aprox)\"].groupby(df[\"fecha_ok\"].dt.to_period(\"M\")).size()" + ] + }, + { + "cell_type": "code", + "execution_count": 72, + "id": "a100000c", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "np.int64(52)" + ] + }, + "execution_count": 72, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df[\"longitud_texto\"].describe()\n", + "df[\"actividad\"].str.contains(\"B2B\", case=False, na=False).sum()" + ] + }, + { + "cell_type": "markdown", + "id": "a100000d", + "metadata": {}, + "source": [ + "## 5. Análisis de relaciones entre variables" + ] + }, + { + "cell_type": "markdown", + "id": "a100000e", + "metadata": {}, + "source": [ + "Cruzamos dolor × año (¿coyuntural o crónico?), dolor × dimensión (¿clasificación coherente?) y buscamos huellas de proceso analógico en el texto (candidatos a resolver con app)." + ] + }, + { + "cell_type": "code", + "execution_count": 73, + "id": "0dcfba56", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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\n", + "Flujo de trabajo, capacidad y pedidos 0 \n", + "Incendio: parada, traslado y recuperación produ... 0 \n", + "Interrupción técnica o retraso de puesta en marcha 0 \n", + "Obsolescencia de equipos de proceso 0 \n", + "Planificación de demanda, suministro y compras 0 \n", + "Sobrecarga, ausencias y dependencia de personas... 4 \n", + "Urgencias, coordinación y planificación diaria 0 \n", + "\n", + "dimension_tipo Planificación y operaciones \\\n", + "grupo_similitud \n", + "Adopción, integración y calidad de sistemas de ... 0 \n", + "Ajuste, cierre o traslado de capacidad/planta 0 \n", + "Captura manual y transcripción de pedidos 0 \n", + "Condiciones comerciales, coordinación de client... 0 \n", + "Contratación, disponibilidad y formación de per... 0 \n", + "Control de producción, inventario y visibilidad... 4 \n", + "DANA: daños, interrupción y recuperación de pla... 0 \n", + "Delegación, estructura y orientación organizativa 0 \n", + "Falta de componentes, servicios o recursos esen... 0 \n", + "Fiabilidad, averías, mantenimiento y seguridad ... 0 \n", + "Flujo de trabajo, capacidad y pedidos 13 \n", + "Incendio: parada, traslado y recuperación produ... 0 \n", + "Interrupción técnica o retraso de puesta en marcha 0 \n", + "Obsolescencia de equipos de proceso 0 \n", + "Planificación de demanda, suministro y compras 0 \n", + "Sobrecarga, ausencias y dependencia de personas... 0 \n", + "Urgencias, coordinación y planificación diaria 4 \n", + "\n", + "dimension_tipo Sistemas y digitalización \\\n", + "grupo_similitud \n", + "Adopción, integración y calidad de sistemas de ... 6 \n", + "Ajuste, cierre o traslado de capacidad/planta 0 \n", + "Captura manual y transcripción de pedidos 1 \n", + "Condiciones comerciales, coordinación de client... 0 \n", + "Contratación, disponibilidad y formación de per... 0 \n", + "Control de producción, inventario y visibilidad... 0 \n", + "DANA: daños, interrupción y recuperación de pla... 0 \n", + "Delegación, estructura y orientación organizativa 0 \n", + "Falta de componentes, servicios o recursos esen... 0 \n", + "Fiabilidad, averías, mantenimiento y seguridad ... 0 \n", + "Flujo de trabajo, capacidad y pedidos 0 \n", + "Incendio: parada, traslado y recuperación produ... 0 \n", + "Interrupción técnica o retraso de puesta en marcha 0 \n", + "Obsolescencia de equipos de proceso 0 \n", + "Planificación de demanda, suministro y compras 0 \n", + "Sobrecarga, ausencias y dependencia de personas... 0 \n", + "Urgencias, coordinación y planificación diaria 0 \n", + "\n", + "dimension_tipo Suministro y dependencias externas \n", + "grupo_similitud \n", + "Adopción, integración y calidad de sistemas de ... 0 \n", + "Ajuste, cierre o traslado de capacidad/planta 0 \n", + "Captura manual y transcripción de pedidos 0 \n", + "Condiciones comerciales, coordinación de client... 0 \n", + "Contratación, disponibilidad y formación de per... 0 \n", + "Control de producción, inventario y visibilidad... 0 \n", + "DANA: daños, interrupción y recuperación de pla... 0 \n", + "Delegación, estructura y orientación organizativa 0 \n", + "Falta de componentes, servicios o recursos esen... 5 \n", + "Fiabilidad, averías, mantenimiento y seguridad ... 0 \n", + "Flujo de trabajo, capacidad y pedidos 0 \n", + "Incendio: parada, traslado y recuperación produ... 0 \n", + "Interrupción técnica o retraso de puesta en marcha 0 \n", + "Obsolescencia de equipos de proceso 0 \n", + "Planificación de demanda, suministro y compras 1 \n", + "Sobrecarga, ausencias y dependencia de personas... 0 \n", + "Urgencias, coordinación y planificación diaria 0 " + ] + }, + "execution_count": 75, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "pd.crosstab(df[\"grupo_similitud\"], df[\"dimension_tipo\"])" + ] + }, + { + "cell_type": "code", + "execution_count": 76, + "id": "a1000010", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " excel: 0\n", + " whatsapp: 0\n", + " manual: 3\n", + " papel: 1\n", + " a mano: 0\n", + " hoja de calculo: 0\n", + " software: 0\n", + " erp: 2\n", + " app: 0\n", + " llamada: 0\n", + " email: 0\n" + ] + } + ], + "source": [ + "for kw in [\"excel\", \"whatsapp\", \"manual\", \"papel\", \"a mano\", \"hoja de calculo\",\n", + " \"software\", \"erp\", \"app\", \"llamada\", \"email\"]:\n", + " print(f\"{kw:>16}: {df['texto_norm'].str.contains(kw, na=False).sum()}\")" + ] + }, + { + "cell_type": "code", + "execution_count": 77, + "id": "77dda386", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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idfecha_publicacion
0EXP-0162025-06-20 / 2025-07-28
1EXP-0222025-09 (incendio) / 2026-04 (nueva planta); c...
2EXP-0252026-07-23 / entrevista 2026-07-24
3EXP-0292025-11-14 (publicacion sectorial; articulo he...
4EXP-0332024-09-26 (agregador Tier1)
5EXP-0806 noviembre 2025
6EXP-08112 febrero 2026
7EXP-082septiembre 2026 aprox. (LinkedIn: 1 mes al 22-...
8EXP-08329 agosto 2026
9EXP-085octubre 2026 aprox. (LinkedIn: 1 semana al 22-...
10EXP-086octubre 2025 aprox. (LinkedIn: 1 año al 22-10-...
11EXP-0871 de septiembre de 2026
12EXP-088septiembre 2026 aprox. (LinkedIn: 4 semanas al...
13EXP-08929-04-2026
14EXP-090octubre 2026 aprox. (LinkedIn: 5 días al 22-10...
\n", + "
" + ], + "text/plain": [ + " id fecha_publicacion\n", + "0 EXP-016 2025-06-20 / 2025-07-28\n", + "1 EXP-022 2025-09 (incendio) / 2026-04 (nueva planta); c...\n", + "2 EXP-025 2026-07-23 / entrevista 2026-07-24\n", + "3 EXP-029 2025-11-14 (publicacion sectorial; articulo he...\n", + "4 EXP-033 2024-09-26 (agregador Tier1)\n", + "5 EXP-080 6 noviembre 2025\n", + "6 EXP-081 12 febrero 2026\n", + "7 EXP-082 septiembre 2026 aprox. (LinkedIn: 1 mes al 22-...\n", + "8 EXP-083 29 agosto 2026\n", + "9 EXP-085 octubre 2026 aprox. (LinkedIn: 1 semana al 22-...\n", + "10 EXP-086 octubre 2025 aprox. (LinkedIn: 1 año al 22-10-...\n", + "11 EXP-087 1 de septiembre de 2026\n", + "12 EXP-088 septiembre 2026 aprox. (LinkedIn: 4 semanas al...\n", + "13 EXP-089 29-04-2026\n", + "14 EXP-090 octubre 2026 aprox. (LinkedIn: 5 días al 22-10..." + ] + }, + "execution_count": 77, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Pendiente: fechas que el parser no reconoció (precisión \"otro\") — revisar formato crudo\n", + "df.loc[df[\"precision\"] == \"otro\", [\"id\", \"grupo_similitud\"]]\n", + "pd.merge(df.loc[df[\"precision\"] == \"otro\", [\"id\"]],\n", + " raw[[\"id\", \"fecha_publicacion\"]], on=\"id\")" + ] + }, + { + "cell_type": "markdown", + "id": "a1000011", + "metadata": {}, + "source": [ + "## 6. Visualización de los datos" + ] + }, + { + "cell_type": "markdown", + "id": "a1000012", + "metadata": {}, + "source": [ + "Un gráfico por pregunta: ranking de dolores, coyunturales vs. crónicos, dominio de dimensiones y evolución mensual." + ] + }, + { + "cell_type": "code", + "execution_count": 78, + "id": "858af376", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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hhBBCCCGEKCK0J08IIYQQQgghigiJPCGEEEIIIYQoIrQnTwghhMjBkiVL3LfffmsPvk760GYhhBCivOHpd3/88Ydr2bKlq1s33l8nkSeEEELkAIHXunVrtZMQQohqwdy5c12rVq1iv5fIE0IIIXKAB8//UeWZXkIIIURV8Pvvv9uio/+7FIdEnhBCCJEDH6KJwJPIE0IIUdXk2jqgxCtCCCGEEEIIUURI5AkhhBBCCCFEESGRJ4QQQgghhBBFhESeEEIIIYQQQhQREnlCCCGEEEIIUURI5AkhhBBCCCFEESGRJ4QQQgghhBBFhJ6TJ4QQQiSk3eCJrm7DxmovIYQQiZkzrKurbOTJE0IIIYQQQogiQiJPCCGEEEIIIYoIiTwhMtC5c2c3YMCAvNqmTp06bsKECeXanpMnT7bz/vrrr6660Lt3b9ejR48yn6ci2qsmcOGFF7pNN920wtt4zpw51sYzZ850NYE2bdq4a665JvH4qGn1E0IIISoTiTxRK8GIxkCMvj777LOCz/ndd9+5Pffc09VEUVEVVNf2qmgGDRrkJk2aVNXFqPbU1vEhhBBClAdKvCJqLXvssYcbNWpU2mcrr7xywedr0aKFq8ksXLjQ1a9fv9KuV9Pbq1CaNm1qL5Gd2jo+hBBCiPJAnjxRa2nYsKEZkuFrqaWWynhsptCxZs2audGjR8ce895777mdd97ZNWrUyK244orumGOOcX/++WfWMj311FNu3XXXtd/stNNOFpIW5ZVXXnE77LCDHdO6dWt38sknu7/++ivj+SjfkCFD3DvvvJPyVvoy8++bbrrJ7bPPPq5JkybukksucYsXL3ZHHXWUW3PNNe386623nhs5cmTGc3NeRPGyyy7rjjvuOPfff/+lvnvmmWfc9ttvb21E3ffee2/3+eefZ23TQtoryr///uvOPPNMaxf6d+2113Z33HGHfZekbj5Msqx1+/rrr13Pnj3dCiusYG275ZZbujfeeCOjZ5VynXrqqanznXHGGa6kpCTtfEmuOW3aNLfZZpu5pZde2q739ttvZ22riy66yLVr167U55Tt/PPPzxo+/OSTT7r27dvbtbbZZhs3a9asvMbovHnzXLdu3ex7+uO+++4rda3o+EhSvylTprgOHTpY36+66qrurLPOcosWLUp9/9BDD7mNN944NcZ23XXX2LkjhBBC1GQk8oSoADAcu3Tp4pZffnn35ptvugcffNA9//zz7sQTT4z9zdy5c91+++1nxi/7jPr162dGagiGPR7I/fff37377rtu7NixZlDHnffggw92p512mttoo40s/I0Xn3kQHPvuu68JrL59+7olS5a4Vq1aWXk/+OADd8EFF7hzzjnHjRs3Lu28hBt++OGHZvQ/8MAD7pFHHjFhFNYf4TJ9+nQ7tm7dunYdzl9e7ZWJI4880spz7bXXWvluueWWlNessuqGMO3UqZP75ptv3GOPPWYCG+EWV/cRI0aY8L7zzjutL3/++Wc3fvz4Uu2T65oIvw033NDNmDHD+pWw0GzQ39ST9vYgnBhXffr0yfrb008/3crNbxHDjFk8wUnHKGKa8f7iiy+a8LrxxhtN+MWRpH6091577eW22mora3MWMBD4Q4cOte8Z+whvX2/6l/kWFdRCCCFEMaBwTVFreeKJJ9LC5tj/gwAoD+6//363YMECd/fdd5snB66//nozhi+//HLXvHnzUr/BKF1rrbXMeAY8TYgvjvdcdtll7rDDDkslhVlnnXVM0CAq+D1ejhA8FtSxXr16GcPfDj300FIGfSho8LK89tprJoQOOuig1OcNGjQwUdK4cWMTkHiFMPwvvvhiEyAY+CEcixhAXGXyHhXSXlE++eQTK+dzzz1nHhpo27Zt6ntCUSujbtTlxx9/NAGEJw/wKMZBspGzzz7bBAfcfPPNbuLEiWnHJLkmgg9Rwxig3HgT+/fvH3tdBC/CmpBlhBHwb8ZS2G6ZGDx4sNttt93s33fddZedC2FKO+Yao1999ZV7+umnzTPnr0u5N9hgg9jrJakfQhGvIeMGL+D666/vvv32W/PsIugReXj1aOc11ljDfoNXL5tXmJfn999/z9omQgghRHVCnjxRayEcEo+Zf2GIlhd4CjbZZJOUYIGOHTuaofrxxx/H/mbrrbdO+2zbbbdNe4+HAq+P39fFC0Od886ePTvvchL2FuWGG25wW2yxhYkIzn/rrbeaYR5C3RBBYTnxtuCdgU8//dS8JogFQh7JnAjR85SlvaLQh4TbIibiqIy6UQ7CCr3Ay8Zvv/1m4iPsdwR5tF9yXZP28+GTYblzcfTRR5u3EoFNSCpiCk9XLsJzU08WJChDkjHKcdSRfvAgyAhFjSNJ/TiGzxB44Rii7xCE9Osuu+xiwu7AAw90t912m/vll19ir4lYXW655VIvBKQQQghRU5AnT9RaEBTZPCwhGI7RsC4fnlaZYLAee+yxtscpyuqrr573+UJRBWPGjLEwOLyJGMzLLLOMGz58eGo/WVLwwOEtwZBu2bKlGfh4nMK9beUNXstsVFbdcpWjECqqPTkv+9fwwuHBZEwfcMABFTpG8bhWBSwA4OWdOnWqe/bZZ911113nzj33XOt/vLpR8K4SIht68iT0hBBC1BTkyRMiAXh+8LiEnpW///479nhCz/BohEkdXn31VQv3w+sR9xtC2EJef/31tPebb765heghTqMvjPRM8DnJPZJAGbfbbjt3/PHHmzeK80YTfAB1++eff9LKiccGI/inn34y79t5551nnhPqlc1jUmh7RcFDg/gh+UZV1g2PE9489tblAg8RCUJCoUlIIfvOPEmuyWfsf8MjF5Y7F3jUevXqZWGavA455JBEIjU8N2VBuPlwy1xjFK9dtI7UL9uzIJPUj2MIvw0XY+hzxDzhpH6xBu8eYbvsP6Q80f2PHsQvXtPwJYQQQtQUJPKESABZH9nrg2FI8gsyLmZ73AB7kggtw4Am8yAJJk466SR3xBFHxO4v45yIR/Z/YfQSOhdm7wT2F+GJIIkFQoLjH3300awJSgjtI0yO4+fPn5+2zygK+6eoH3vCMNzJshgm5vDgQSJTJcY8GUHZo0UZEGUkTyFzIaGQPHfwhRdeSPOIlFd7ZaonvyfckKyM1JnkGj6xSmXVjbBK9j+SpROR8cUXX7iHH37YBEgmTjnlFDds2DAr80cffWQiNBQ8Sa7J3koEDOGXvtxXXnllonYjwQ/nJINnklBNYJ8iCWDoK5KorLTSSqmHt+cao4h2ErPg7UPcIvYoQzZxmaR+tBshtYwb2pFr0ne0FX3HtS699FIbA4S5klCHvZPZ9gIKIYQQNRWJPCESQIgfnhzSwmNwEvYX7tuKwneICbw5JJcgBA4vDEIxDkLZEAMY++wfIgEHRmnUS4SnCpFCWfBIkVSCEL44SNqBUc0eRDyS7MGKA8ObxBRk4GSfGF4kjOco1AXRtOOOO9qxPIaBjIeAQU1oJMY7IYUDBw60sMhsJGkvn74/02MlPCT24LeUGY8RosB7ByurbniHCAdcZZVVLNsjHkZEXNzjOch+iphFoPowUjJnepJcE0/j448/bol6GBOEIYYJe7JBXfFw0l7RPaFxUB/EKfvqvv/+e7u29yQnGaN4DXnP/kn6hMdl0F5xJKnfaqutZuIPbzjzh0UTxDoeUMAT99JLL1mf8JgSPmde64HrQgghipE6JcofLUSZwTuGJyrM7CjKt70QBohePDkV9dB2vFJ40aLPRCxm+BOA0EPw5vK4IrRZLCBEM1uilGKEPXmWgGXAOFe3YfwCjxBCCBFlzrCurrz/HpG8LdtWAiVeEaIcJhuhX3hc8IaIimkvvDSIvIoSeLURwhXxEuKNy/VsPCGEEELUHCTyhCgj7Pth/xzhYz7Bgyj/9iqvZxiK/4cQSfbTsd+PvX9CCCGEKA4UrimEEELkQOGaQgghCkXhmkIIIUQ1ZtaQLnqcghBCiGqPsmsKIYQQQgghRBEhkSeEEEIIIYQQRYREnhBCCCGEEEIUERJ5QgghhBBCCFFESOQJIYQQQgghRBEhkSeEEEIIIYQQRYREnhBCCCGEEEIUERJ5QgghhBBCCFFESOQJIYQQQgghRBEhkSeEEEIIIYQQRYREnhBCCCGEEEIUERJ5QgghhBBCCFFESOQJIYQQQgghRBEhkSeEEEIIIYQQRYREnhBCCCGEEEIUERJ5QgghhBBCCFFESOQJIYQQQgghRBFRr6oLIIQQQtQU2g2e6Oo2bFzVxRBCiBrJnGFdq7oItQZ58oQQQgghhBCiiJDIE0IIIYQQQogiQiJPCCGEEEIIIYoIiTxRrsyZM8fVqVPHzZw5s8a3LPWYMGFCVRejxtCmTRt3zTXXlOkco0ePds2aNXPlTe/evV2PHj1csXPhhRe6TTfdtMLborzmeefOnd2AAQPKdA4hhBBClEYiT+TNa6+95pZaainXtWvpzbOtW7d23333nWvXrl25tGxFGf1JoB577rmnq+3CS9QcBg0a5CZNmlRl1//yyy9do0aN3J9//lmtha4QQghR7Ejkiby544473EknneReeukl9+2336Z9h/hr0aKFq1ev5idupR4NGzYs+Pf//fdfxs8XLlzoqhOLFy92S5YsqepiiHKgadOmbsUVV6yytnz00UfdTjvtZOUQQgghRNUhkSfyghX6sWPHuv79+5snD09btjCuTJ44QiA5xvPOO++YYbjMMsu4ZZdd1m2xxRZu+vTpbvLkya5Pnz7ut99+s+N5sUoP//77r3ktVlttNdekSRO39dZb2/H5cuedd7qNNtrIxNyqq67qTjzxxNhwzblz57qDDjrI6rPCCiu47t27W32jYXCXXHKJa9mypVtvvfVS7UGbderUyS299NLuvvvus+Nvv/12t8EGG9hn66+/vrvxxhuzlpU6n3zyyW6VVVax32y//fbuzTffzBoKh2dl4MCBqfYL++Sxxx5zG264odX9q6++snPttttubqWVVnLLLbeclfett95Kna+kpMTaf/XVV7ffUEfKE8dVV13lNt54Y+sfPLzHH398KQ8PZeF8jRs3dvvuu6/76aefSp3npptucmuttZZr0KCBtek999yTU7SeeuqpVkcEzxlnnGFlD0HUXnbZZW7NNdc0z9Mmm2ziHnrooZztf+aZZ1pdqP/aa69tCx7+mkcddVTqfJRz5MiRab/342PIkCFu5ZVXtrF+3HHHpS0GPPPMM9avvux77723+/zzz9PO8/XXX7uePXvaGKRtt9xyS/fGG29k9GIlaYsk15w2bZrbbLPNbNxxvbfffjtW5O2zzz6J6xuFvuX83AtYZDn00EPdvHnzUt8zxxnHeCs5jnGz3XbbuY8//jg1nrge9xQ/5v09Ksl4FEIIIYoFiTyRF+PGjTNBghF7+OGHm0iKGo35cthhh7lWrVqZyJgxY4Y766yzXP369c14I9QQ45DQSV4IO0CMETY6ZswY9+6777oDDzzQ7bHHHu7TTz9NfF3EwwknnOCOOeYY995775nowXCP87516dLFjM+XX37Zvfrqq+at4Jqh0YrxicH53HPPuSeeeCL1OXU65ZRT3IcffmjnQehdcMEFJgj57NJLL3Xnn3++u+uuu2LLi4H+8MMP2zGIL8rKuX7++eeMxz/yyCPWrhdddFGq/Tx///23u/zyy01ovv/++yYc//jjD9erVy/3yiuvuNdff92ts846bq+99rLPgWtfffXV7pZbbrF2RgBjNMdRt25dd+2119r5KfMLL7xgdfAgTBBG9CWLAgj9oUOHpp1j/Pjx1m6nnXaamzVrljv22GNN+L/44oux1x0xYoQZ9oxN6kL7cJ4QBN7dd9/tbr75ZisfQpjxPGXKlNjzHnnkke6BBx6wOtFntIP3WCEaaesHH3zQffDBB9a355xzjs2XEMYHv0WscC76CFHi+euvv0yUscjBsbQh4td7WhEliO9vvvnGxitihjaN88QmaYsk10T4sSDA/ERI+nkY8uuvv9o1vMhLUt9M8+ziiy+2ejG+WCRBLEY599xzrW6UmaiBvn372ucHH3ywjRUWbvyY57Mk4zGTqP/999/TXkIIIURNoebH1IlKBc8FxjAgcPCyYRjjNSoUvEinn366iUdAXHjwKLEaz6p+ePyoUaPs/3iTAKMTjwSfI5iSgKDAIEREeLbaaquMx+KJw+hFFHmPGNfC+4EBu/vuu9tneAk4Bq8TeE8fySX222+/1PkGDx5sRqr/DA8Q4gDhgNCKgiGOKMVg9/sEb7vtNhOT9AntFwVPD+Gz3isSNabxHOLB8uy8885px9x6661WP/oXI5/25jy77rqriXA8cB06dIht3zChBnsDaW88Od5jiaeLMeQN7XXXXddNnTrV+tFz5ZVXmpGP1wUQIwhQPkcUZoKFgbPPPjvVtgi5iRMnphnvjJHnn3/ebbvttvZZ27ZtTaDQ/oioKJ988okJNtqb+vvfeGiPULzQnyxC8Bu8vx7GBYILDxRCBAFO3yFsECH7779/2nU5Fi8YY4N9rvfff7/78ccfbUGE/oW4hYkkbQFJrsnYZ5zhyaPceBPx5oc89dRTrn379qk5maS+UbxY8+2LKGNOIjTDEFAWR3w/sYBCVMGCBQvMi8pxCL/omM81HqOwEJBNkAohhBDVGXnyRGLwUBG2RagYYEixSu5D1goFw71fv35mPA8bNqxUqFgUvG6EoSEKMOj8CzGS67ceQsDYT7jLLrskOh7PwmeffWaCyV8PIxvDMrwmni0v8EIILQsFG7/BixWWH6Mzrvx8jjDr2LFjmrBAZOEpyRfKiEEe8sMPP7ijjz7aRDbiGg8qxjXiDvCW/vPPP2Z8cxweoUWLFsVeAxFF+xJSS7sdccQRFo6JFxEoN2G2IV50eTgmrDPwPq7OLDrgvQnPyzgN259+pAyEpobtj2cvrv3xNCKYMwlAzw033GChxggkzodI9m3nQVQjeML60saEAgMeUuYXbUz7I0bAn4dyEDbpBV42krRFkmvS1owVBF5Y7myhmknrGwVPYbdu3WwBgTHj2zvajuHYJcwawrDOQsZjFMQxbehfcWUWQgghqiPy5InEIOYw6sOVekI12Z90/fXXmzCIwmp9NJwzmniE8C/23jz55JPu6aefNi8XYZiEjGUCIxGDG4OQ/4ckTfjAin8+cE0MeL+fLgSj3oMnLxPh534fEJ64qMiJ1qeioP7hvkjAg4jRi4dtjTXWsH7FKPfhqOxjQuhjLOPRwrs2fPhwE9cIzhA8mHj/8PbgdUGU4ClD2HK+0PCvbHz7M94w+EPiEu3kGi+MV7zJeGdpM0QEbeP3yiUFgUPbMzaYZ3jQ8Kb5Psh33JbHNZPAsXhgCVEtFBY/CD/24czMK8Qd76NlCcebH8fZkgcVMh4ZC2VJvCSEEEJUJfLkiUQg7vB0YMTiTfAvPFwYhuy3yQSGGnu6MOA8mZ6thVeOfVHPPvushZYRCuk9TnjtQvBk8Bkr94Sqha9oiFYcGOF4LJKmm998883N48Heteg1M4nbbDRv3tza7Isvvih1LsL8MuETj7AXMBTLhO2xVyqOTO0XB+cmkQr78Hwymvnz56cdg8hAFBBGR5gqIYl4VqMgwDG6GS/bbLON9W80EytJZ6IiiFDM6DFhnX054+pMX+DZCc/L2KU8njDZTLT9EbKZwENLfeL27FEm9pAifBmfnCuTV5D5gjc0rC8LE1wXgY2IPu+888zjRN1/+eWXUh4s5k/cPsx82yLJNfmMfa94rcNyhzAWll9++bTw31z1jfLRRx9ZefDm77DDDha+ncs7l3TMJxmPQgghRDEhkScSQRIRjD9WvlnlD1/s6YkL2cRTxSo5K/wYvezvCTNyYgCSeAMjkUyQGMsIFwxLQIjheUGMITgIrcJAI1kLiTBI5DB79mwLI2UPDd6ZpOBBxOhDsCDgSGZy3XXXZTyW65F1koyaJF7hmpQZUcT+pHxhrw/l5drs90IoIWzJABjnCcQLwX4mPCbslyJkkvagT+Kg/XjUBYk6ooItCmGaZDckPA9hQJ1DzxH9Rj+TAAWBeu+999r3eIGiIHIQobQnx3Je9oOF0HbUhf11tD/e4HA/HlBfrst+RI6hfejzTIk/POyxRCiQuAPhgPAiKUgo8Pk9iwok4GBc+r6PS3xDO+LpZM8Y5/X97xOr0HYkAWG/G/1JEp1MmU/xGtFf9B972PBaM/7xeCOSyG5JmCchpSQGIZQ5hLBKFjLIWslcoW1JiIPYLqQtklwTLzveMsabLzd9FkISmGioZq76RiFEE4HmxwznZO9evtBX9A9imDHPHswk41EIIYQoJiTyRCIw7tkzl8lrhcjDwGW1PwphUYgBDDy8IXj8/GMQfHgiq/cINsQbSSpILOITHuAdITkCe//wCl5xxRX2OYKI35A4hUyfGL0Y1RiKnjB9eiYw2klMQeIFPFeEc8Vl50SoIpY4P55GRCjGK94N9jHlC3sQSdBCPWgX9h5R1jhPHmCs09bsJcKziFGOqMBQj4NEF4Sq4QkMw0rj+hghz7m5hn9cg4ckLIT0sScOjxJhm48//njG57Lh0UGQkcGThQDC7xC1IXhUOB/hoRyPFxePUgj9yveICvqIxCi0WbZEP4wJyk//+tDJaOgv4gEhRpnoSxLAsECQrf0RmgcccIAJJbxMiB7voSbrJ+OCccrCBmPaJ4sJwVuGINxxxx3tWISRnw8IH8I+8TrRZohQQj5DEEG0E/2Cx5Wxw7iIC/PN1RZJronnjX5mIQIvJZkt6dckIi9bfaMwPpkDZCjF20q9omIyCcwR+pPEPJyTe06S8SiEEEIUE3VKypr/XogAQr8wgBFL2bL+VTSs5CMa8SCE2TqFqCrIEooXLXz2YjGAF5TMrGT9DPfKFVt9eYQCi1ytB4xzdRtW3Z5SIYSoycwZ1rWqi1A0f49ICpbN0SBPnig32CfEA6UZcHF7myoLPIc8/04CT4iKhX1+hEFGk+8IIYQQoupQdk1RbhC+SNgXYW1VnZWOh5wLISoeHuOR7XmJQgghhKh8FK4phBBC5EDhmkIIUXYUrll54Zry5AkhhBAJmTWkS0HJloQQQojKRHvyhBBCCCGEEKKIkMgTQgghhBBCiCJCIk8IIYQQQgghigiJPCGEEEIIIYQoIiTyhBBCCCGEEKKIkMgTQgghhBBCiCJCIk8IIYQQQgghigiJPCGEEEIIIYQoIiTyhBBCCCGEEKKIkMgTQgghhBBCiCJCIk8IIYQQQgghigiJPCGEEEIIIYQoIiTyhBBCCCGEEKKIkMgTQgghhBBCiCJCIk8IIYQQQgghigiJPCGEEEIIIYQoIiTyhBBCCCGEEKKIqFfVBRBCCCFqCu0GT3R1Gzau6mIIIYqAOcO6VnURRBEjT54QQgghhBBCFBESeUIIIYQQQghRREjkCZGD22+/3T3//PNqpxpASUmJu+qqq9z06dOruihCCCGEEFWGRF45M2fOHFenTh03c+bMvH73zjvvuFVWWcUdfvjh7vPPP3edOnVylcmFF17oNt10U1cbGT16tGvWrFnG7x544AF33XXXuQ4dOlR6uUT+Y/Wyyy5zzzzzjNtkk00qpPmY2xMmTKiy8Vib6dy5sxswYECiYydPnmx99euvv1Z4uYQQQojqSJWKvN69e9sfYl7169d3zZs3d7vttpu788473ZIlSzL+pkuXLm6ppZZyb775Zuz5hg0blvY5RhmfZ2L99dd3DRs2dN9//72rSp544gl3wQUXuLXWWsvtsssurn///pV6/UGDBrlJkybl9Zs2bdq4a665xtV0Dj74YPfJJ5+U+vzjjz92F110kXvyySfdsssuWyVlE8nH6ksvveQeeughe3E/EWVffApZc801q9Sj/cgjj7iLL7440bHbbbed++6779xyyy1X4eUSQgghqiNV7snbY4897I8xRsjTTz/tdtppJ3fKKae4vffe2y1atCjt2K+++spNnTrVnXjiiSYEM7H00ku7yy+/3P3yyy85r/3KK6+4f/75xx1wwAHurrvuclXJueeea/UaMmSItcUhhxxSqddv2rSpW3HFFV1V8N9//5X6bPHixbFCv7xp1KiReVGjrLfeeu7DDz90rVq1ctUlFDE6J2oSmfq5PMfqjjvu6N566y0J8grg3XfftXtqRUQYJB0XK6ywgltmmWUSHdugQQPXokWL2MU9IYQQotipcpGHF40/xquttprbfPPN3TnnnOMeffRRE3yELYWMGjXKxB9eLsLoEGhRdt11VzsfYVu5uOOOO9yhhx7qjjjiiFjRmItp06a5zTbbzMTllltu6d5+++1SYuWoo46yVXDEBMJh5MiRpTyQPXr0cFdeeaVbddVVzYA94YQT3MKFC1PHYGAdeeSRbvnll3eNGzd2e+65p/v0009T33/55ZeuW7du9n2TJk3cRhtt5J566qmCQ+BylYnQKa45cODAlDc2FM877LCD1bd169bu5JNPdn/99VeaB5AVeeqDh+yYY45Jhag99thjbsMNN7RxgajPFKJFuShf9Hw9e/a0ujOWbrjhhrTfELZ17LHHmreYvmrXrp15T+PC42666SbzqmIs0mf33HNP2vfUl716++67r/XHOuusY2WPA48g14xCm59//vlZQ86YC1tssYW1CW2L+GV8+zFFaCLeq5D333/f5grti2FMfxAG7PuuvNq0X79+buWVV7br7LzzzhZ2HB1TtBNlpd2BcMrtt9/e2pxxRTl92Txff/21XRvDnuszt954442083poD9oXMU4b8R3XiHqx8ASxiER/0WavvfaaywbzC+FIuRmTzz33XKlj5s6d6w466CCrC2Xt3r27XS8O36d4h9u3b2/n3mabbdysWbNif0PbcF7GLgJ3q622KuVRo78uvfRS17dvX+vv1Vdf3d16662p72l/4F7F9RkDQEQE0RMrrbSSeb0QcQjlKNyTWZDDQ5rrXkNduD9RVsrM/XX+/Pmp77k2C1qMQa5LdAb3YTzqIdxr+P7uu+/OOG7//fdfd+aZZ9o9hn5fe+217Z4eF6758MMPW1k5lvYaMWJEbJsLIYQQNZ0qF3mZwFjECMMoC70YiDz2rBFiyR/0qGELhHJi7LCPCkMxjj/++MM9+OCDdj6MnN9++829/PLLacdgVISGb5Q///zTDFQMwBkzZpjxSShZCAYoxifX+uCDDywkEyE7bty4tONefPFFM+b4P15FhEcocikHySQQEhintMdee+2VEl0IMIweQtbee+8982ZiZJWFbGWib6gXxjWeWF7A8RiD+++/v63+jx071oQJRl0I4pE+RhR7kfP3339buREFiJRM3rU4hg8fnjrfWWedZd5gb5TTBxidr776qrv33nutHwjpZaxkYvz48fb70047zQxWxGGfPn2sHULwumLgU0/64rDDDnM///xzxnNifOMVDMOMKSu/5dzZoD6Ul98jDBB4GL4333yztRNCm3E8ZcoUO/6bb74xcYIx+8ILL9jY5Pr5egGztSkceOCBbt68eSZCuQaLNIQah23w2WefmXHNePGhggj+U0891cYzYZd169Y1sew9t8wrxAb1YLwjHM8444xYzy6LJhjsjCnaE9Gwzz77pC2CeG8585NyrLvuuiYi49qEa+23334m8hGXtDWCIoS5x7UQVdw7GF/MOcZ/Lu/U6aefbmVmPCCSEU3hok4I7cH4oq3oC87P8SyChHA+v9B0/PHH22IYIcd+MQoQh8xVf2/lPtirVy+bo6+//rotVnAtPg+hHxCaue41iCru34hJ+hex/cMPP9g8CeF+QtvSZrQtc+fxxx+3unomTpxo9wTGRiZYJGKx79prr7W5ccstt8Te8xiflIEICcrMvZr7TnQhMYQ6/v7772kvIYQQoqZQbR+GjpDDYPNgnPAHH6MKMGpZtWWVOApGAav5gwcPTq3sRhkzZowZNKzsAn/8ORaPh4fVcLxYcdx///1mDPI7VuQ5F8Iy3E/HyjdiIFxRR6Qh8kLDh1Xx66+/3oQHde/atasZdUcffbQZqxhZGETsNYH77rvPVrDZb4ixjcGHsNp4443t+7Zt27qykq1MeC34HAMXz6kHAYLB5lfcaWOMMIx2vGPem4MhiIjyYCRj5N54440FJc3o2LGjCRHAgKetrr76ahPwjB2MXAxBvsvVPogFRDWGMiBIMID5HE+Qh2MQCsDCAvXkOhjhURDEjF0WKvDEAP+mXXL1FUKaenjDk2tRp2233TZVF4x0jFzOh8cNrwxj3O9N8/UurzbletQVkYeY9O3GeGTxBe8sIHYQpAgZD+M0BC863yO+8XYyr3788UcTQIwzYFEnDq6LAPMhzogOBDn7RUPvIwKPMQzMSeYrIpSxHYX2/eijj0xotGzZ0j6j3Vks8LCAwfxnUcJ7sulTvHp4knbffffYMnNv8n2K4GF8sLgQFUPAfAjnBB5WjuWeEC6eIM78mKU96CvaAU+0b388p+F8ZR6G4P2j/CwYsIAFiG3uxb7u2e413C8QeLRV2L/cq9j36sch94UrrrgidQxec7yC1Mvf0xkHiPVMIZqci3soiw5Eb0TLEYWMqyxA+AUlysF4YyEjbiGPe1l47xZCCCFqEtXSkwd4qsIQQAwFwnnq1fufLsW4xuiMhnl5MPQwnjDsM8H5EIoe/o23LVzBxjjNFvbpPSteuIA3vEMwNAm3w9BipRlDKroKj8EZepYQlxjQ/jrUe+utt059j7Hm94wBIZFDhw41wxwDMhTIhZKtTHHgdWF1nHr6F+IGY3j27Nmp4/A4RGFln/YshGi78963DZ4bjOikQoff0Y4hvI+OpbCsGKiELGZrH8QxnocFCxaY+MGIxcOWi7CtECUsdiAQwjZmrPq5QH1ZrChr8pFsbUo/43VhHIbloI/DObnGGmukCTxg0YL5i1FOmxE6B35OUH6Eghd42cC78u233+bdX37xJq6/+C3CxAu8TO1BG9AfiBBff8pM/8bdlzKdi9+EczkK7YxA3WCDDUyAcR2Ojd5Dwvpx70TM5ZqveNkYl4guFgboD64Xnhsx6cNrc91raBOEZTgmvIgO24T7YQj3NwQui1fe20uIKAtGmWCMcG9Kukcwbk4zFgmpz8TZZ59tER7+RWiuEEIIUVOotp48/ij7fSSEf7HCi6cHb5CHP86ItUsuuaTU7wlXQ1zwhzq6UssKLp4ZPBFhCBbnw/uB0VNecD4MNEKpMOwwCFk99vuLPFGDHCMtn8Qj7I2ivuz1efbZZ02ccs2TTjqp4LIXUiYMRMIbMQSj4BkNRVEU9pdFEyUQyofgD4kLa4uD81YE+bYPIXZ4vRjLCFrqQdKfXIRt5cPZ6Gf2yYV4j1qu+pZHm1IOhBIeqyjh/sZM/Uw7IP5uu+02E1G0GR48H+JYGf3lx1lZkvvQBogVL0xCosK2LHD/wGOFxxKPJu3DuImGhBYyXwnV/OmnnyzklT5hDHGfCs+NyMOjluReQ5vQvyyyRQmjIjKNCwQdog1hSn2pZyaveEWOkRDaws8pIYQQoqZRLT157CNi34QP68KIwhPDKjEruP6FYYHXKG4lln1M7POIJlggvBIRGD0fYXlx4Z2ZYGWdVWxW7j2IxxAfYkkYFd4JjLRcq/yZrsPeoVAYYpix34b9gB48D8cdd5zttyEUEiO6IkGoRNuefVmIaOoZfXF8vmAs+/1+wPUyJamItjvvaTfv4SCMNtNjEjLB7+i3EN6HbV0IeCswqgnp40V4Yb7GapiUJtq+9L+vrw9/rag2pZ957Ah1ipaDZBlx+HF73nnnWfgc54tmwqX8zMe4/Y0heJ4QiuXdX5QLz03YTtH2oA3wBLF3NNoGuVL3h+ei/oxN37ZRqAsLVYShEyKJhy5bcpdM+LkXna+cmwUZQj19UpIwSQqiDc+c34+X615Dm7BPFO9stE0yCbsQ7pOclzBY7vmEocd5o2kHBKzfh1ronMa7H7c3VwghhKjJVLnIY48RxiL7Psjqxl4ODAr2g7CxHhBerFyz2h++yFqJQRJm0osaAqwOs1fKg+FLpkTCxaLnY4UaIYWRAlwfT2AcZIRjtRzPH8KGDHOstocQBkUCAvb2YMixJyTTM/6ywTloE67DXijEKeGleHK88cUeOK5BuBztiGEWZzSWFxhyJF+g77xhiGfUP+YCQx0jmLCraOKVpLBnCI8BL/ZIsd8x0wOOMdjY40MbEx5L6C2JQgDvAKKeRQM8BLQRyULixg1JMVg8wGtM+dnPgzEbTapTCIwxFjG4dpJQzSh4gikHyVYIR2bBgP4m0ZB/DAhtTRgjIpKxRx0Y8z4JR3m0Kfug8PiQlRNvDqKDfie5CdfMts+TEE9Clgl1pC1YXAlhbiJkODdl+OKLLyx5S1w2TPoLzxHigDqyj5Cx58taCNQPAYAoZ74hmqlbCPcWBC1zkO8ZV3g2EU3Zkj75fZbsb0VcI+A4D/WNm/8+cQ1l4b6TrwcSIcqCgk+EQvihPzdjg8gJ7n3UKVx44HjawYfU5rrXkJQFcU4fcp9jfHIsyYXiFuNCqBuJWJincaGaQHnoG+YQ+0B920cTWnkQorQ3+xkZz8wV9g+Wx5wWQgghqiNVLvIwIgjj4Y82oTkYDIgyhAErrGRFw7CJJmsAVsvxBmTzvmFMhQYRoUd4EzJlbMNQ4eXPh7ckXMmPwn4TPIV4HfHSYQRGw5QIXSRLH/sJ2VPHtX1yhHzA80NoGOIX45pwO0SlX+nGgMLAovy0I4YZSUw8tC8Z5coT2hbjnqQJPjwNLwyr6xhS7AujXcgoGu5tygeMOIw5BLdPUhImPwmNOMQF12O/EMLMJ+kBRAIJTzA+8fCQrTHO6MTYJnwNwY53g4QmtL9PO18WMKrxWLBPKdxjmQ8YqiwWECbn+xvB5sObEVGIJ5+lknGDp8WPlfJoUxY3GH+IZwx4xhuikvT6pM3PFipKCDPzmoUVxCrhy1GvE8IRYYKHicWabNlQEVUIRcrLsdxTmOe0daFQTsJqeUxLhw4dTJxHw8J5FAOLHIQhM8fpCxae8OzjYcwG9UGE0jcscnEfifN00+6IY8YNoZD0AR6zfMDjyn2Vscxc9ItD3OvwJHI+Ep7QlmFWW+7DYahmrnuN96pyDIln6A9EISG8tGkuEHYsmLGAFd1DF4VFGBb/uJ8yn1gECx/VEkL9EICMPcYd9yTuX9myJwshhBA1mTol0c05ouggUQeGP96r8hAq1Q0ELIZk9Nlv1RGmG+IDwzTqwapO1KQ2rUngbUJQI6yiz2asbhAijmDnvoHQre3gHWdhsfWAca5uw8ZVXRwhRBEwZ9j/Mj4LUcjfI6Jysi0qV9vEK6L8wDtKiF4xCryaBI8FwJOA5ybXs/GEqGoIu8TT6h/5IYQQQoiag0ReLYBng/nng4mqgzA49l6xH43wOyGq+3glQY4QQgghah4K1xRCCCHKKTxGCCGEqA5/j6o88YoQQgghhBBCiPJDIk8IIYQQQgghigiJPCGEEEIIIYQoIiTyhBBCCCGEEKKIkMgTQgghhBBCiCJCIk8IIYQQQgghigiJPCGEEEIIIYQoIiTyhBBCCCGEEKKIkMgTQgghhBBCiCJCIk8IIYQQQgghigiJPCGEEEIIIYQoIiTyhBBCCCGEEKKIkMgTQgghhBBCiCJCIk8IIYQQQgghigiJPCGEEEIIIYQoIiTyhBBCCCGEEKKIkMgTQgghhBBCiCJCIk8IIYQQQgghioh6VV0AIYQQoqbQbvBEV7dh46ouhhCiCJgzrGtVF0EUMfLkCSGEEEIIIUQRIZEnhBBCCCGEEEWERJ6oFvz9999u6NChbvbs2VVdFCGEEEIIIWo0tVbkde7c2Q0YMCDx8ZMnT3Z16tRxv/76a+wxo0ePds2aNUu9v/DCC92mm26aet+7d2/Xo0ePci1XoWWtbhx99NHu22+/dWuuuWZVF6XGEh1vhTBnzhwbOzNnziy3col4aOsJEyZUeH/kuvdE712FUh73r8q6dk28TwohhBBJKWqRh2HDH/Ho67PPPnOPPPKIu/jii8v1egcffLD75JNPYr8fOXKkGVOidLvgybv++uuLvmkq0rAcNGiQmzRpUpnO0bp1a/fdd9+5du3aucoUM7UV2nrPPfes6mLkvHdVFfmMm4q4pwshhBA1laLPrrnHHnu4UaNGpX228soru6WWWqrcr9WoUSN7xbHccsuV+zVrMiUlJW7x4sXulFNOsZcoG02bNrVXWWBetGjRQl1Rwfz333+uQYMG1aatc927akJbrrDCClVdFCGEEKLaUNSePGjYsKEZUuELQzYa2nPPPfe4Lbfc0i2zzDJ2zKGHHurmzZtX6nyvvvqqa9++vVt66aXdNtts42bNmpU45CkaMvXXX3+5I4880gzzVVdd1Y0YMaLUb5KU66mnnnLrrruuGWk77bSThXjly5tvvul22203t9JKK5kY7dSpk3vrrbdS33NdVvtDFi5caMfffffd9n7JkiXusssus5BLyrLJJpu4hx56qJQX6+mnn3ZbbLGF9c0rr7xSKswwV1kQh/xm9dVXt3O0bNnSnXzyyYnr6kPgxo0b53bYYQcr61ZbbWWeDK5Ne9MneFh+/PHHxOUCznv77be7fffd1zVu3Nits8467rHHHktdl/6B5Zdf3o5lTOTTdnjqKB/n3m677dzHH3+cMzz40ksvdc2bN7exedFFF7lFixa5008/3YziVq1apS2CZAoPZIzTFrQJ5zniiCPc/PnzU98zl2j/M844w87JOKUsnjZt2tj/aRPO7d/DTTfd5NZaay0z0tdbbz0b73G89NJLrn79+u77779P+5x5TD9mItdY+ffff80Dutpqq7kmTZq4rbfe2to65LbbbjMPJ21OHa666qq0eZ4pFJIy0S5hG5144on2OeOnS5cuGT1V06ZNc5tttpndX+jnt99+O+28LIocddRRqXFCm+EJjx5z6qmnWhlXXHFF6xfaIRtxoeb0B/3FeD/kkEPcH3/8kdf9K5Mnjuv4iAYEGu3C76nzGmusYfMg27jxZWOe0Q78zrdxIfd0IYQQohgpepGXFAQLoT7vvPOOGSUYu94AD8E4xpjB4Mcj2K1bN/ttIXCuKVOmuEcffdQ9++yzZlxGRUOucs2dO9ftt99+Vg4M8379+rmzzjor77JgvPXq1ctE1+uvv27iZK+99koZdYcddph7/PHH3Z9//pn6zcSJEy3MEiMMMM4QfDfffLN7//333cCBA93hhx9udQyhfMOGDXMffvihCeZ8y/Lwww+7q6++2t1yyy3u008/tXbZeOON867z4MGD3XnnnWdtXq9ePTMCMYgxml9++WUL673gggsSl8szZMgQd9BBB7l3333Xvqftfv75ZxMKlB0QZ4TqeQM9adude+65Nv6mT59uZe7bt2/WOr7wwgu21xGBhDihznvvvbeJzDfeeMMdd9xx7thjj3Vff/11xt8TVrrzzjub8OCazzzzjPvhhx+sfiF33XWXiSTOecUVV5iYfO655+w75gogJqmzfz9+/Hjz4J522mkmJClHnz593IsvvpixLDvuuKNr27ZtmhBkftx3332x7ZBrrCAwXnvtNTdmzBjrrwMPPNC8/xzrF3VoI8rJ/ELkX3LJJa4QaCPELOekn6Mwt+ibDTfc0M2YMcPEDAI0hMUAhPmDDz7oPvjgAxuf55xzji1YeBgfiKg777zTxipjj7bOl88//9za64knnrAXY5F5m8/9KxfXXnutLYJQfuYEfenFXNy4AeYmfUuIZtx+xaT39DhYAPj999/TXkIIIURNoejDNTFOwhA2PBIYSFFCIxFDEuMD7w6GV/h7jGQMPW+0YXBhQEWN3lxw3jvuuMPde++9bpdddkk7Xz7l8p4Qv4rOyv57773nLr/88rzKgyEfcuutt9qKO0YchieeB4x46oonB+6//363zz772Eo5BhEeo+eff95tu+22qfJiZGJg4/XyIAB8GxZSlq+++spW5nfddVfz7OCl6dChg8sXDGjvUcGI79mzp3nKOnbsaJ/hMQn3UOYqlwdDknMBbUKf4aFBPPiQslVWWSXlOcmn7RAY/j1iuWvXrm7BggUpb0YUrsf169ata2MDAYYwRxjA2WefbYY718JTE4V9kgg8yudBPCBY8XziQQbEOnMDEL/8jrakn1kMAeobhideeeWV1lbHH3+8vcf7hHjmc+/xjEKfYPQjMICFB+ofN/+yjRW+41z8Hw+fHxMIWT6nztddd53dM7zYor5Tp061+0q+0C60fxzMJ0Qc9wX6c6ONNjLx3b9//9Qx1IFFBA+eLEQqIsm3wTXXXGP9yuIPIChZkMkXysL4Z34D854+ZQwmvX/lgranXbbffnvz1uHJ88SNG+8BZFHEH5OJpPf0OFh4CdtaCCGEqEkUvScPY5GVXv/iD30mWDnHG4YRiFHjDWmMkBBvhHsDGsMZj1Qhq+QYKoSHRc+XT7m4dniOaBmTgneGDJcYXIRmLbvssmYM+evgNcKIZKXdh2qxgo+Xyq+sIx4w6v3eMF4YYtQ1hBCqspQFb8s///xjhhvHITwJQcyX0ItIGCKEXh4+C8O7cpUr03kRxhyXLUwsn7YLz02IG2Q7N0IBgRfWKawjocuE9MWdAy8InrWwXOuvv759F5Yt6pGlbLlC4xi7XlB7eJ9tPiEKaS/EICBCGJe0cyayjRUWQwhtRLiF9UO0+7rhXYouIBSyoACEKGfDe7ZDwZ5pLt9www12LgQO5WWxwY/B3377zbxe4T2BuZtrzmUCj5oXeNE+TXr/ygX9yX2Z3xFGi0cwCYjBbAIvn3t6HAhl2tO/iJoQQgghagpF78nD+Ft77bWzHoNgwaPDCxGD8YAhwHsMmaqiMstFGOJPP/1k4YMYUOxfwsAMr4Ogw1DC0CMUjz1BeKfAh3E++eSTtr8phHOFxBnkScuCFwnjG88X5cATNHz4cDPO8XQkJTwWL0Kmz/Bm5NNG0XNkOk+UfNouU5mznTtTWfIpH2XDUM7kGfYiM+462cpVKHhAKQ+eNrxY7O+M7qELyTZWqBsiFzEQTcSUTwIbRHR0z1umEO5c4z4JhJXiVcRzz9hDvFAfwmTLm/LoU36TrW0233xzezYm/UgfIdjxuob7UTORqy3L497J3IvOPyGEEKKmUPQiLwkfffSRGe+ErWEUAvuPMoEHgZVh+OWXXyxkbYMNNsj7moRYYkRhnEXP51eck5SLa/vEHmEZ84V9QjfeeKPtIQNWrcPkGkCiD8oxduxYM8rwknhDkH1EGEQYUmF4YSEkKQsCE2Of1wknnGDeJTwzGI0VRZJy5YI9WYAHyVOebVfe0J7sfcKrg0eoUBgnYZ392KVNEc8e3tMe2WDfKeGwhAYyj6LewChxY4UwVMrEokVc4hY8TOFeMIi+R0CECZgA71Q+Cw6+PdhvGIbfRucy7cM89CGuUY8qHmbEN/cV9jACnkuEbHnOjST3L982eBY97HXEax2Cp5ukTrwOOOAAWzhiHyGewUzjprzv6UIIIUQxIpHnnBkpGN/svyHJAgZb3POW2E9GeBthbyTBIFNergecZwJPAfuL2FvE+fBQcL4wtC5JuficVX3Og/GLMVfIs/gIQfTZ6EgwwPkypVQnOQl7fDDmwgQZeBTwMJAwhNV+9tgQ4oRRihEXGvJlLQv1w/AjVIyMh+wL4vtwP09FkLSNskEZ8W6wpwuxyO/Ls+3KG0QR2SURVT57JuGSeJTIbpj0USSIRL/fEUFL4hfaD88NYgvvDfvrSKSBRycbeGNol6FDh9p8zEa2scK8wztNhkjmEOUgmyrlJGyS/Y4nnXSSiSWS1iASSWTDAof3ovq9mnjTCK/Fu8Y1mKucLx+YW9wDCCslVJBEIexPjI5BrsMeOzyZjEdEJ//2sL8UccOxCFrKXt7PZUxy//Jtw/5M2oV+OPPMM9PEL2VDlNJW/Jb90uy/8/tVM42b8r6nCyGEEMVI0e/JSwKrzRiDGBh4ETCQosaVh+8wotgTQyp3DFPvnckXDEM8CBiPGLkY9+G+nSTlwpjB00L2ONLuI8DCJBkejNJs4o8kCqzEs9pPggX2x2C4RcEoJqsfYYVRDwpG1Pnnn28JC/BKsCJPCGJogCYhV1kwABEeXB9jHFFAP2BsAlkJwzT95UXSNsoG7UYyB5KmsFBAdsfybLvyhoQkiE0M9N13393285Gmnj6IGvTZQEQRLolXxYsfFkcIfWVMs3eQJDOEYYaPHsgE12UvF2VCoGUj11jhepyDDJ947SgTosl7p/gdcwoxwvwiKQtiPNw3h+ik7xDBJPYg22qucsUJJ8rmvYyIpmiYLBlISaiC1wvhircq9OoBdWF8sjjgQzp9BtzyJNf9y/c7fc5xiFgWMxDbHspGMhoWTmg7hC2PhPFjK9O4Ke97uhBCCFGM1CnJ9QAlUeNhzwvJJRBnrO4XOxi3uUStqNngRcLrFg1VrgzwtBEOyGM2RO0B7z3hsK0HjHN1G/6/UBVCiEKZM6yrGk8U/PeIqC8im+JQuGYtgJXxY445plYIPNYsSMTBIwFE8cENDU8XjxuoLIGHB4jMpyT7IFSTRwWwN1MIIYQQoroikVcLYF9VbQEP3pdfflnVxRAVRPfu3e2Zg+yzyvasxfKE6xFSSBimf94a+1+FEEIIIaorCtcUQgghyik8RgghhKgOf4+UeEUIIYQQQgghigiJPCGEEEIIIYQoIiTyhBBCCCGEEKKIkMgTQgghhBBCiCJCIk8IIYQQQgghigiJPCGEEEIIIYQoIiTyhBBCCCGEEKKIkMgTQgghhBBCiCJCIk8IIYQQQgghigiJPCGEEEIIIYQoIiTyhBBCCCGEEKKIkMgTQgghhBBCiCJCIk8IIYQQQgghigiJPCGEEEIIIYQoIiTyhBBCCCGEEKKIkMgTQgghhBBCiCJCIk8IIYQQQgghioh6VV0AIYQQoqbQbvBEV7dh46ouhhBFxZxhXau6CEIUHfLkCSGEEEIIIUQRIZEnhBBCCCGEEEWERJ4QQlRDnn/+eXf77bdXdTGEEEIIUQORyKtlzJkzx9WpU8fNnDnT3k+ePNne//rrr67YoZ4TJkxwNZXOnTu7AQMGlOkctam/a9pcDPnkk09c7969XYcOHVxtHKe1YT4LIYQQFYlEXjmBQdajRw9X09huu+3cd99955ZbbrmqLkqNpLIMWlF8tG7d2uZeu3bt0j7/559/3KGHHupGjRrl2rdv72o7F154odt0001LfU7b7bnnnlVSJiGEEKK6o+yatZwGDRq4Fi1auJrA4sWLbfW+bt2atTZRUlJiZa9XT9PN899//9nYq6ksXLjQ1a9fv0znWGqppTLOvUaNGrnp06e7qqQm9E9NuW8JIYQQVUHNspZrmIfn5JNPdmeccYZbYYUVzCBhRTqEkLljjz3WNW/e3C299NK2ov/EE0+kvn/llVfcDjvsYEYfq/6c76+//kp936ZNG3fppZe6vn37umWWWcatvvrq7tZbb027xrRp09xmm21m599yyy3d22+/nTN87+GHH3YbbbSRa9iwoV1jxIgRedef31188cWuZ8+erkmTJm611VZzN9xwQ9oxV111ldt4443te+p3/PHHuz///DP1/ejRo12zZs3cY4895jbccEMrz1dffeXefPNNt9tuu7mVVlrJPJCdOnVyb731Vtq5P/30U7fjjjtavfntc889V6qMZ555plt33XVd48aNXdu2bd35559vxns+3tspU6a4kSNHWhvyIgTPt+nTTz/ttthiCys3ffn555+77t27W383bdrUbbXVVrbvKuTGG29066yzjpWb4w444IDY699zzz3Wp/Q94wvvz7x589KOeeqpp6yOjKGddtrJyhcln/7m94jsqAi55ppr3BprrOGWLFmSdTwceeSRbtlll3XHHHNMojH+77//Wj/xHeVbe+213R133JE2PkII36Pto16gW265xc5BXx900EHut99+S/sde9822GADa/f111/f+iGsM+ccO3asjTWOue+++9xPP/1k45uxzXkZyw888EDaeWmPK664wspN+Zmjl1xySWy4JuOJEE2OXXXVVd1ZZ53lFi1alNd9JS7KYMiQIW7llVe29j/uuONMyIXnPfHEE80rzbzq0qVLovLQV/Qp45nvM42dTGGV9Bv95/n666+tLakT9wPG9RtvvGHHUO533nknNcf878LzEpHAOAn58ccfTYi/9NJLieeLEEIIUSxI5FUgd911lxksGCsYehdddFFKbGD8EWr06quvunvvvdd98MEHbtiwYba6DwiCPfbYw+2///7u3XffNQMTgxhDLASjyos3RFL//v3dxx9/bN8hmPbee28TOTNmzDBjcNCgQVnLzHEYwYcccoh777337DeIn9Ag4zOM9lwMHz7cbbLJJlY2jMNTTjklTWwhFq699lr3/vvvW1u98MILZryG/P333+7yyy83I5zjVlllFffHH3+4Xr16WXu8/vrrJor22msv+9y37X777WeeCNr+5ptvLmUAAsYe9aLtEWq33Xabu/rqq11S+M22227rjj76aAsd44WQ8FBn+vTDDz+0sDv6g3JOmjTJ2oT+7datmwlXQDhhwDNO6MNnnnnGhGocCFKEEwYwxi6iAYPeM3fuXGsHroGQ6Nevn5Up3/4Ood933XVXCyUM4T3XzuZlvfLKK1PjgWskGeMICIQT44R2RKwhKPLhs88+c+PGjXOPP/64tamfKx4E2wUXXGDii2uwcEL5GJMhfgxzDCJowYIFJuKffPJJN2vWLBOuRxxxhC2seM4++2wbA5yPcXb//febeM/EN998Y+MD8U+f3nTTTSZohw4dmvi+EgdjjnKzAEF7PvLIIyaeoudlznBPYs4kKc/pp59uQvDRRx91zz77rJ0/uuCSC+YF4pnrsaDDtbgPMI8PPvhgd9ppp9kihJ9jfBblsMMOc2PGjDGvuYfx1LJlS1tESDJforDA8Pvvv6e9hBBCiJpCnZLwr6IoGIwFvGF+ZZmVcUL0Xn755dQxrIjvvPPOZvRhECHyMLzwtETBIEfwYdR6MIAxhlg9x5uAwY0Bwwo10JWsUGO8sVKPV++cc86xVXKOB4w3hCCGLh4OjDI8PL/88outrmMssQJO+TwYXBiyiCy4/vrr3fjx481wjIOy4RnBm+VBSGAo4V3KxEMPPWTlnj9/vr1HaPTp08cECuIgDoxByo4Bjail7F27dnVffvmlGXmAcU97U+64vZOIEAzFfELl6GfaEU+Wx7cpYwHPXTbw3lJnhA2GN/WlvxCgSa4VQrkxyBG7CCH6HuPb95sXKojmfPo7CoKJMmNw4+HBqGeh4YsvvogV/3yOR5n2TzrGEb/rrbeeCRiEZRTGB56n0AtNm++7774pYx/RiihhLOBx82OB8YGoYL7gZfNeZw+/YZxOnTrVxMCaa65p7Y7IywbjD08gY4l+wHPGfKGuUfx5/Vw899xzzavKPcF7I/EoskCB5xEBneu+EndvQuAi+vE4+vsAAi08L3MzFGi5ysMCzIorrmiLVAceeKB9//PPP7tWrVqZ4PXjlN9G5x1jj+8pG/cpFp9oDzx5UehD+jWaoCY8L2OYuc5CkRd1ePdYJIlrl+h8yXTdqBCG1gPG6WHoQpQzehi6EMnh7zWRbPwtJjonDnnyKpBo0gTCmXx4EAYLxlAmgQesNmPEYnz4F94DBM3s2bMzXgOjB6PVX8N7kLzAAzxP2eA3HTt2TPuM94Q/YlwCgiSbwIu7Fu85v4dQxV122cWMb0QNXhBC4DAePXgWou34ww8/mPcMDx6DnAGON8B7xLgGHjUv8OLqzUo/daPNaN/zzjsvdY7yAOETQhkxZhG/GLlck7L6axKCSsgjoaO0BR6msC2i4IXDS0cIIO2HOIKwHbbeeuu030TbIUl/R8GoRpx5wcY4RdTm8u5G2yPXGGeOcB1fr0KhfbzA823ANfCWIibxKB511FFp5UDk8Xm28tM+iEPCNBEn/G7ixIlp7Y83iDGeBI6nbGG4KX3BuEH4J7mvxMEiiRd4vg04L8LPg1cyn/LQPoR8hmOMdkCY5wP9zAJAJoGXFMT07rvvbnMGGD+vvfaaLWIknS9R8MLyB9S/wrYSQgghqjsSeRVINDEDxpLfs8QepGxgSLFfDwPIvzCKMb7XWmutRNeozrBqj9cDgxVvAQaY37MX7hWinUIjEwjVpD0Il8TTwr/xKIS/y4U3AAlHYx8k3hQ8F/mcIxeE1IUg8BBGhAPiiaHcCAR/TQxPPCmE02G4E0KIcZ7pcQeIEwQRAhfDln2KXnSVZx0ygfAmjJIQTa6FB5V9ofm2R64xnmuO4IGKBiLks6fSlwEI1Q3LQfglocDZyk84MmMQz9aLL75ov6NPfPvnKn+hVNScj9avvKB82fqpvNqJ+Uw0AOdmTDK3eBU6X/BSc3z4EkIIIWoKEnlVBOKG1XCeh5WJzTff3PbwEEoWfSXNeofHiL1O7B3yRA3XTL9hT04I7/E4+v2CSYlei/ecHxB1GKbsKdxmm23s/N9++22i81Ie9q4h0HzCEB/i6evAqjvhhHFlQRziNUPY4aHBK0hIX77QF3Eer0zlJjyNcEKMTzyI0UQoZOAkNJG9VvQd3xOCFuWjjz4yryehaISnESIY9ebQDuH+sEztUGh/E36IJ5bwPRJxsPcvX3KNcdqIMcKerzjvDaF2YaKWTM+cw1MTji3aAIGIx4n9cXh8CTWNloFQymzQToTjHn744SbG8cCG85kxhYBJ4vX2fcHiQyiIuAbiH69/WUA882iGsA3wPIZ7SPMtD0IcwcneQA9hwNF7Gv0UzkVEfOih5l5IvxHqWZY5Rl9wryMcF5EXevGSzBchhBCimJDIqyIIFWK/CEkn2HNEeBH71zBQAO8AQoTQSAwgDCP2V0UTr2SD7HGsohPaiDHNHiP2CmWDJAcYpYShYayRjIE9RWHCFt4nCUHDIESscB68dA8++GBqTxNGNCvu1113nRnY7Ctkn1ASMJ45nnAyDEyMudAbgEhCpODxw7jFa4aYi54D4589eISdkdgj3C+WFEIUKQNiDKGZzaPCNdl35z1W9E94PB5FysH3CM67777bvs8U/kbIGcavbz8SVtBnIeybY9yw94rQRAzfaEKVJP0dJwAQ54xT9rIV4o3JNcZpW/oQLyF7spgj7HdkTyAQJkgIInsP6cNM9QPClcOxwAIByWZ8Cn72XV122WXW9rQBCWjwUpL9NRv0J3OXOjAW8UoSShxelzqyx5G+pIyIK58dNArJYFicOOmkk0yU0BaDBw92p556apkfG4K3ipBUfx/gvLRztvPmKg8ikXMyvliIwPuZKfkO+wUZU3jL2QfHuAy9kYwf+oIwYO4ZjGe8+whMPw58+C5zjBDYOE8k5yDJDf0R7rFMMl+EEEKIYkIirwrBkGHjP8YIGTAxBv2KNavbeDAwOll5Zs8K4XvhPrNcYISRcAGjld8jdEi6kcu7ghGN+CEpCNcke1+YhQ5DK7pfKRMICIw6rs0eJ4xmn5odzwfvKQ/XIYQKQzsJGMl4DCgre9cw2sm66cHIRLDhuSApBV4nn7bes88++7iBAweaoUvSCwx1jMMQn+IeYREHYgiPF/2HxyLbnj7qu/zyy1tCCPYG0RbUwcM+PUQgRjEiCtFL6CbeyihcC0GDcObaeCiiAh7DljGGQKK9OR+hovn2dxwY+IiHJKGamUgyxsnoyGMkEBx4X1iw8J479nCR9APR4h9fkOlxAiwo4GnE88u+La4bPiKB8UH2VoQd52EBhrbN5cljDyftRz+SuMQLlRDGFPOAetGnZIaM8yCxb5C64H2lvxBDtDHXKSssyiBKWViiDIz/XI9eSFIeQlbpO8Yziyvbb799qb19eOvxGHIcCxvMmXB/IOKLxD/MYfqIPggzDbMQRhZW9n0y7qOPqQhhwQcxz7UY//nMFyGEEKKYUHZNUSGw+k7mQ141FfZZIQ5Y+UeciXTwhGA0E1ZaXYnLzFibM/+KsmUzU3ZNIcofZdcUIjnKrilEGcGLQSigBF7pZCWE5hGCRyifEEIIIYSoXtSr6gIIUV0hFE2UhhBXQuYITSw0VFMIIYQQQlQcCtcUQgghcqBwTSEqDoVrClH+4Zry5AkhhBAJmTXkf8/bE0IIIaozyq4phBBCCCGEEEWERJ4QQgghhBBCFBESeUIIIYQQQghRREjkCSGEEEIIIUQRIZEnhBBCCCGEEEWERJ4QQgghhBBCFBESeUIIIYQQQghRREjkCSGEEEIIIUQRIZEnhBBCCCGEEEWERJ4QQgghhBBCFBESeUIIIYQQQghRREjkCSGEEEIIIUQRIZEnhBBCCCGEEEWERJ4QQgghhBBCFBESeUIIIYQQQghRREjkCSGEEEIIIUQRIZEnhBBCCCGEEEVEvaougBBCCFFTaDd4oqvbsHFVF0OICmHOsK5qWSGKBHnyhBBCCCGEEKKIkMgTQgghhBBCiCJCIq+CWLBggbvkkkvcZ599VlGXqNU89NBD9hJCiJD58+e7IUOG2P+FEEKI2krRiLwLL7zQbbrpppV6zd69e7sePXpk/O7kk082gbf22muX+3U7d+7sBgwY4IqZyZMnuzp16rhff/211Hcvv/yyGzRokNtmm21cTaRNmzbummuuSb2nnhMmTIg9fs6cOXbMzJkzK2y8xjF69GjXrFkzV0zztjqPhXwpdGzceuutrnXr1q5u3bplun5VEXcPLCkpcUcccYT9f6WVVqqSsgkhhBDVgWqbeOW1115z22+/vdtjjz3ck08+6aojI0eONGMiyn333WfGV0WV+5FHHnH169dPfDxlWXPNNd3bb79dYwzq7bbbzn333XduueWWS/v8xx9/dMccc4x77LHHXKtWrVwxQD2XX355VxtBrJ900kmJBSFiuKxit5hAqDF+8hE0v//+uzvxxBPdVVdd5fbff/9Sc6wmEHcPvPTSS12LFi1srAghhBC1mWor8u644w4z/vj/t99+61q2bOmqG3HG0WGHHWavimKFFVZw1RVE7+LFi129emUbWg0aNDBjLcrKK6/sPvzwQ1dMZKpnbaFp06b2EoWx1FJL5T1+vvrqK7dw4ULXtWtXt+qqqxbc9Jwjn8WmyrgHnnvuuZVeFiGEEKI6Ui3DNf/88083duxY179/fzNECBmLMmzYMNe8eXO3zDLLuKOOOsr2wIUsWbLEXXTRRebtadiwoXmwnnnmmVJhTmPGjDGv0dJLL+3atWvnpkyZknae999/3+29995u2WWXtWvtsMMO7vPPP88Y/vbvv/9amOYqq6xi58MT+eabb5YKQZw0aZLbcsstXePGje3aH3/8cZlClQj5YgW7b9++VsbVV1/dwrE8ePFgs802s+vze8/tt9/uNthgAyvv+uuv72688ca0a02dOtXaju8pM56UMDzM1+npp592W2yxhbX1K6+8Ym3UvXt36yOM+K222so9//zzaeemvc4880zzRvA7QlsR9XHhmg8//LDbaKON7FjqPGLEiLTz5WqHKHfffbdbccUVrRwh9CkhX3F8/fXXrmfPnmZoNmnSxNrljTfesO+S1DtKNFxz2rRp1le+zfHAhiCiGfP0a6NGjdx6661nXuXoMaeeeqqFWlLHM844I6PXOQpzjXZjbO67777up59+KnXMo48+6jbffHMrX9u2bW3/06JFi2LPSV926NDB2orydOzY0X355ZcZwzXjjqVcXOedd96x9uLl7wuMkX79+tkCAPN05513tuM8/hp33nmn1Y1+Of74462NrrjiChNJzFn20Ibg6dp4442tLIxRfsO9yUO5unXrZl5YjmFsPvXUU7HtMG/ePDuePqPv8PhHyVWXXOGaue4xtBl1AvqOYzkH3HTTTW6ttdayBRbG1D333JN2LY7lmH322cfqS3tVVNvCq6++avcq6kAbd+nSxf3yyy8Z74F8fuSRR9pxHL/nnnu6Tz/9tFTY8cSJE+1+RzmJEsELKoQQQhQj1VLkjRs3zgQHhsbhhx9uBkRooPI9xgUG/fTp0201OipOMHoRAVdeeaV79913zUDAOAn/8MPpp5/uTjvtNDOkt912WzPCvGH7zTffuB133NFExQsvvOBmzJhhAiLOoMWQRojcdddd7q233jLRwnV//vnnUqvNlI2y4/HinGWF83lBgMGEQPaGHaIBEBsYNYQ6AUbmBRdcYAYY3jHa8/zzz7fy+7Au2gNjjPpcfPHFJsoycdZZZ5nw5jzt27c3g22vvfYyY5MyYVBxLrwIHoyyBx54wF177bX2u1tuuSXWq0PbH3TQQe6QQw5x7733nvU/ZY0uAGRrhygHHnigGaOEfoaGOGG2cX1CvTp16mRjg99hgNPvLCr473PVOxv8nkWFDTfc0OpMPQlpDOFaLF48+OCD7oMPPrA+POecc2xehO1A2zB3EN2MwfHjx2e9NkIV8UgoH6Jhp512ckOHDi21H5J+O+WUU+za9BnXiRrxHuYKopk2Yx4Shk24LYIhn2MPPvhgm6cIKcYwLz7z/Ui/sdBAmyFAd9lll7R5h/jmexZ6GHMsJrCAhGBnYefyyy935513XkqsA/vVGJss9DAnuAfQ154TTjjBFgheeuklG5OcI5tXkkWhuXPnuhdffNGSBnHPotwhSeqShLh7DG3mFx24L9COiCzGBn1KG8+aNcsde+yxrk+fPlbWEMYj4p/6+nNWRNsy/qg384BxwBhmHjFf49qWujInOZ6/F8xDvI2ev//+2/4eIF7pM+ZkdG6F0LfcA8OXEEIIUVOoU5Jkeb+SYfUegx6jA8MPEYdB6z1QrEzj6bjhhhtSvyEJB948v6K92mqrmRGG8evBQ4Bnhd/5fWoIEy9cuBafESaKwcFv8fQhEjKFJWFYsPKOF+avv/6yVWQM3kMPPdS+x8DAu8SKM2KSVXYMZ4wsDBhg5R+D6J9//jHPSBJoB1bPfcIEroGH0a+806WsoOP5OO6442L35CFCEW54pTwY9ZQJD97NN99sxhnGmi8bnr+jjz46dS5fJ9oAD1Y28JRSHkTEJ598YiL+ueeec7vuumupY/15WaFnBZ7wV/bjPfvss6lj6CMEGYZiknbIBEKQ9vEeGDwMjA+S5mQSIngGMQz5TdKw2bDevpyMCe+J4DoY2Qgczs+4C9ucfkCsZttTybm///77VMZRwpsHDhxo4y4c23hb45K8MG5/++23tL2kiGqMd+9Rpa8Yu2effXbqmHvvvdf6grDqKIgTPIn0J+It2z67fI71YPwzfxBGLMaEY5syIRL53fDhw6198PAC4pt5jUBBcAALS8xpFiwyQdvSjz5rI4sZ7GkbPHiwy4Uf7wgr7kHw0UcfmVfp6quvtrGQpC5RonM7yT2G9uP+OXv2bBuL/p6LgA4939yDua/58cA4pZyUN+yTimhbxiIijDbJdQ9k4W7dddc1zx9/G4CFOsQrAhLhzH0Z0cq8xlsJiGyiPSh7Jqgb944orQeM08PQRdGih6ELUf1h0ZEtY9hsRP3UGE8exgGGkBcerEKz+uzD+ACvz9Zbb532O7xwYeUxODFcQngf3c8V/o5r4QXyx2AMIRqS7DvBoEHUhdfkdwjL6DUxDj1+T0x0RT9fwnNijCFusp0T440y47nx+6J4IfJ8OCp9wXlD8Ul9MkG7RT1SiCGMWEQa56YdvEeLtmU/USZjPhP8NlN/YuCFq/v5tgOCFeGIZw4wBjFGMwk8X24M5DiBl6veSeoZbfNwjHoQogg2wvq4Bsa5vwaTHg9NOEf82M517WzzCvBcYhiHY4Y25Hp4SqLQTrQnHm08MXjY40Lk8jk2LA9tjjgMy4SA8eMYEDNehADhtHiJvAjxn4VjxQslFoz4LSG8iAdfT0KzmS+MQ4Qe3sdsbUsf0GcehE+YuTRpXZKQ7z0mbn5F712ZxlBFtK335CXBt204dmlDRHVYfsI4vcDz7ZKtTVjIYC75F15YIYQQoqZQ7RKvIObwOoSJVvDIsLJ9/fXXV2omOPbOVAShaPRiwof7lcc5/XmzndPvf7nttttKGfaIr3xhb00IQgcvHeFReCJoywMOOMD9999/lda2SdoBwbbJJpvY/rzdd9/dvILZsqLmKneuepcHeJe5DuF4iDCMZLwpYThcRcG4wbux3377lfouzhM9atQoE0R4BNlri3eYNsr0CIx8jvXlwVjHgxUlFFCZxkW2sYKHjLBZPKiEoiJA8SqxKEJfIhjYO4cgZbywUHDZZZdZnyTNFlpoXarqHpNpnkevVV5tWxH3h0xlyhbIwt+c0KMqhBBC1CSqlScPcYexjaHESq5/scKN6GO/B+AliRq0r7/+eurfuC45nvCdEN6zwhz3O67PPhjO71fD2YMU7uuIwycsCK/J70i8Er1mZUO5IPR4sbJOG33xxRcmRsKXT9TCSjh7b8LEJGEimWzQDnhl2L/Dnj48aj7BA/AZRl800U0c9Emm/iRMqxBRGoKxjgcPgUE4ImFecTAmfGhhIfVOUk88QmEioXCM+msQlkaoKSKVPgs9PSyEIBbCOeLHdq5rZ5tXwB4xPLzRMcMr9NxEoZx4RggDJnz1/vvvz/tYxnF0TxblIdwOT060PGV5ThptxfjkXoTAZJxlCkdlrBBmyD5X9rOxaJIJvHbRPqAdw8RCFVWXssyvirh3JWlb5hn7WpOWnbYNxy5eQdq3qu+9QgghRFVRrUTeE088YXuwWNHFuAtf7H3xIZvs1SOhBEY5e10IlfL7sjzsRWLDP94A/tizFwTjnN9Gw97YD8X+GPbwcX2fUIB9ToR+si+JTf2EBrLfK1MiD1a4WZnmunghSEpBGBvhR9SnKiG7HSvjlOuHH36w0CPAI4P3gQQItCOCjjZlX5rfF4Mxxl4gwp7ITIeHCuLCGT3rrLOOGb5epPtzhSFevXr1srZmnxUhaXgwwuQhIRjQGH3sIaSs7LXBs5stcUJSKBt74DDQcyXBIYwY4cb+OYxgRDLJdkj2kKTeScpC2zJ2GEPsp/Jt7uEajEf6g7YgAU1UfDPO2W9K2zK2EYSZHiwf4j1oXI+xTvuGGWmBJC8sxDB2mHOMCzyLeNwyQb8i2GgfslHi8eLcfiEln2MZMxxD27J3i8UHRDneTPqD4xHUiEMSj9BGhYKwYpHmuuuusz5m3rM3MoT9afQBZSIxEUlKMtXLL5iwV42EJogRhA6LC6HHqqLqkgTuWyx0kD2TNucewDguj/lVSNsyDhjTjFsWPRjDlM3v2YvOB/YDM2fwCDLvSNhFKGiufcJCCCFEsVKtRB4iDkMnU0gmIg9Dhz/47NHDsCUZAXtcMAgRWFGDlRTyiAM8KhirZF7DIAjBEOZFyB4GAsf4VXP2dZD1zWdU5FoIgbg9epyHcrK/hFV5NvljBObzoGufEj1TyFah4BlAyJEJEe+dN3wwMkmkgrCjjagjhp735OERffzxx82oJskBxiZGPuRKEoORSL3xOLG/irA22iQEo41QRgw5PB0YaewVzAS/RQAiKBD9lIO9YXjNygrjjX5j/1P4SIxM4E3CAEc4k72PdqPfvTcxSb2zQRlocwQ3Hi3anMWKEIQC4ZLMA0Jt8VrQhiGMe8YhQtqHdOJdzAZeFcY3e+GYD9QzKt6oD4sxfEcCEX5DIo411lgj4zkJvcNAp33x2LBgwGIKdcj3WD5HKJFYhL2IePaZKwhhsuCSWIPfsSjDPQFvdaFQf/qStme8kYmWBZEQvIqUD2FHubh2NMtvCPOM+cc8o/+oH+PIU1F1SQLjnn5H4JOAhXsF5Q0ft1JeJGlb6s4YQ7CxD5gxzKM74p6/SVm5PxMGyrGEYdKWVfUcPyGEEKKqqZbZNSuDuIyTVQ3eAAxAVrjzEYeVBQYZBijewIraV1cVkOQB4xYxLIQQcdnMlF1TFDPKrilE8WTXrHaJV2o7rD6TQr+6CDxC83hoMqFPrKrzuAlSqxeLwCM8F68pr2xeGCGEEEIIIWoKEnnVDLIkVidIBEFoJP8nmQfPnIp78HVNhJBIhB6hY+ybEkIIIYQQoqZTa8M1hRBCiPIOjxFCCCEqkhr7MHQhhBBCCCGEEIUjkSeEEEIIIYQQRYREnhBCCCGEEEIUERJ5QgghhBBCCFFESOQJIYQQQgghRBEhkSeEEEIIIYQQRYREnhBCCCGEEEIUERJ5QgghhBBCCFFESOQJIYQQQgghRBEhkSeEEEIIIYQQRYREnhBCCCGEEEIUERJ5QgghhBBCCFFESOQJIYQQQgghRBEhkSeEEEIIIYQQRYREnhBCCCGEEEIUERJ5QgghhBBCCFFESOQJIYQQQgghRBEhkSeEEEIIIYQQRUS9qi6AEEIIUVNoN3iiq9uwcVUXQxQxc4Z1reoiCCGKAHnyhBBCCCGEEKKIkMgTQgghhBBCiCJCIk8IUSXcfvvt7vnnn1frCyGEEEKUM7Va5HXu3NkNGDAg9b5NmzbummuuSfTb0aNHu2bNmlVg6USUOnXquAkTJiRumAsvvNBtuummtbIh58yZY+01c+ZMez958mR7/+uvv1ZaGbLNkQceeMBdd911rkOHDhVy7XzmciFEx1bv3r1djx49Kux6QgghhBA1SuR9//337qSTTnJt27Z1DRs2dK1bt3bdunVzkyZNqvSyvPnmm+6YY45JdOzBBx/sPvnkkwovk/h/vvvuO7fnnnuqSQpgu+22s/ZbbrnlKq394ubIxx9/7C666CL35JNPumWXXdYVAyNHjjRRW57U5kWKslAVCxpCCCFEdaNeVXsbOnbsaKv9w4cPdxtvvLFbuHChmzhxojvhhBPcRx99VKnlWXnllRMf26hRI3uJ8oF+r1+/ftZjWrRooeaO8N9//7kGDRrkbBeOqez2i5sj6623nvvwww9dMVGZ4rmmj0UhhBBCFLkn7/jjj7cV12nTprn999/frbvuum6jjTZyp556qnv99ddTx3311Veue/furmnTprbyf9BBB7kffvih1Ir3PffcY2FaGFyHHHKI++OPP1LH/PXXX+7II4+0c6y66qpuxIgROUO8WAk+9thjXfPmzd3SSy/t2rVr55544onYULSbbrrJrbXWWmboYMhSnhDqyj6kfffd1zVu3Nits8467rHHHks7ZtasWeatopxc94gjjnDz589Pff/QQw+ZGMZ4XnHFFd2uu+5qdYvj/fffd3vvvbe12zLLLON22GEH9/nnn9t3S5YsMY9Kq1atzItKGz7zzDOlQv7GjRtnv+OaW221lXln8HpuueWWVk7K++OPP6Zdl3pusMEG1m7rr7++u/HGG0udd+zYsa5Tp052zH333Wff3XnnnTYGKA/9dOKJJ8aGa5555pk2ZmhLPMHnn3++icVsZCsXRirX47p8v8Yaa7jLLrss6/nKs73hvffeczvvvHOqf/Es//nnn6XCAi+55BLXsmVLG2fAHNpss82s3PTL22+/ndW74ccvCyq0B/24xx57mLfPQx/vtttubqWVVrI5RV+99dZbaeetijkSZd68eeb9p83WXHPN1FiKlrNfv362kEPf0MbvvPNO1vN+/fXXrmfPnm6FFVZwTZo0sXZ94403Mh4bDdekrxk7lIdybbLJJjZ3o/1BxALnpa54W/Fy+rYbMmSIlZHjeHlPYb514ftwHgHzlT6Ii5jw99RbbrnFoisoH/fd3377LedYzDaGX3rpJVvMIYIjhLB55ornlVdeSd1zuP7JJ5+cdp/7999/bf7zHXNp7bXXdnfccYfdW3baaSc7Zvnll7d2o5z+N5xnlVVWsbG6/fbb2xgXQgghipEqE3k///yzGbh47DCgonjjEGMJgcfxU6ZMcc8995z74osvLBQsBEMaAYCByYtjhw0blvr+9NNPt88effRR9+yzz5qRFTVYQ7gu4uXVV1919957r/vggw/sfEsttVTG48ePH+9OOeUUd9ppp5lQw/Dt06ePe/HFF9OOw3DDWHr33XfdXnvt5Q477DCrmzfeMI4w1qdPn27tg5jleMAAx+js27eveUKow3777edKSkoylumbb75xO+64oxlBL7zwgpsxY4b9dtGiRakQM8TulVdeaeXp0qWL22effdynn36adp7Bgwe78847z9qrXr167tBDD3VnnHGG/f7ll192n332mbvgggtSx2Nk8x7jj3JeeumlJsDuuuuutPOeddZZ1mYcw7URAIwHjEIMRYx7jLc4EFEYvvQNZbntttvc1VdfHXt8rnJde+21dk1ELcY2xyP8k1LW9saI5TOMU4zPBx980BKTRA10DHPKx1xgrGNAIyw33HBDuyYG+qBBg3KW9++//7ayILQwvllMCX/HIkmvXr3M4GbRBcHFmPWLJ1UxRzKBET937lw7D0IK4Y7wCznwwAPts6efftraaPPNN3e77LJL7HlpU0QtfcqYQEQx5qlzEhB4d999t7v55ptN+A8cONAdfvjhdg8KOffcc21MMN+ZW4wX4P5GO7Hgwbzn5e95+dYFQXj//febyPHQX6uttprdb+JgXjMXHn/8cbsXsXDAwly2sZhrDDM/WJAJxT0LM8w1X3fu5Sw4sPDHGGAxiDEYzgMW7NjXyZxlLiNGWahA9D388MN2DOWi3Zh3QP/xHfOdexn3Fsoa12601++//572EkIIIWoKVRauiQGBOMGbkg2MCAz+2bNn2x9wwHjC+MGIwLMEGF8Y/Bj+gAeM32LQY7CxyothgzEE/KHHoxIHhgneEQwIvEWAcRIHxjLGpjeCvDeSz/3KMnAMQg0QGRgpXAej5vrrrzeBx+cePFvUG+8Z9UAwIOzwMgFevThuuOEG88CMGTMmFQrp6+LLzGo4Xk+4/PLLzVDGm8lvPRj+GEOAkU75aVtCbeGoo45K24+EKMRwpZyANwMBgCGGaAhX7/0xMHToUDNsuYbH928mEJ4exBjlpK4Yc5nIVS5EDkKGFX48AL6Nk1LW9sYQX7BggY1vv/DBmMBLxbF4y4Dv8Hb50Lhbb73Vxj9jHA8FcwMvVP/+/bOWF+MaEYJnDTCi8TR6ogKA67D4glBBVFbFHInCvEDs8L0fK7QD3kkPAoHvEUYIcF8WFoUQhZn24dIXeLu4x+DJg2wLDlFxQLlpn2233TbVLpSDsYZ49HB/8u9Z9OjatauNATxYiBaEXxhmW0hdGO/0LQtcfsGI+Uo7M87j8GMRMQgkyqF8zCFfpuhYZKEl1xjmfjFq1ChbeANEJL/xZUMgI+x9UizmJGOAdmIhiHmK+ERYEsng29fj+wuPnV8sRHzyW+rt9/VSVs7BePFlCaEcLDgIIYQQNZEq8+TFeZ+iYEAicrzAAzwW/PEO9/Vg5HuBB4Tc+dV8VoYJxdt6663TDAEfXpQJshIiAkMjPVc5vejx8D6696h9+/apf2MEEW7ly4m3AKMf486/vAimDoR8IVIRdqzmY6T88ssvWetAyFOmvW6sSn/77bd5l9kLjVBc8pmvA8YUZcWQC+uBgPNhix7C1Dz8nvJ4EZ4EVvgpLwYn10D0YQBmIkm5MHppM8YFYV14fPOhrO3N/+nj0LPN9wg4H8bn2z7c+8Tv6CMEnseLi2wQgucFXnTOAF7ko48+2oxsxCtjlYUG38ZVMUcynRMhtMUWW6Q+Y86EYaLMK8pN6GDY9ywcRcekh7qx4OIFQ74LWHhJCXUNr4fwiV4vrCvtD3F1LbQujAsWvVgwArxYeFJ9GGMcq6++ekrg+TGVZCzmGsNclzbyIfkILwSe/w115LOwfiwycQ7qSd/gLQ7Fci5oGxY1wvHHPCW7a9z+0LPPPtvCU/0Lb7EQQghRU6gyTx6GI6vI5ZVcJWpYc+6koVWZqKikKtnKifHmV7yjYABi2LDyPHXqVBMgrKwT7sU+IbxSFVWHsMx+5T/6WVgHQICGohqiYXyhIZhvWV977TVb7WelHQPQe9Ay7bVMWi7C3jAi8QzhhcHwxFMQ7qXKRmUl4skU3lxeYzFcfMG7+dNPP1m4G15NPEcY+iyYVNUcKQT6nvlDeHOUuEc8lKVufqyRPTQUSeC9b9nmVra6FlIXH7LJHjs8vHjR8NLm66kur7GIh437HOXgvsV8C+tDHQnlZaElk/BEIFYG9FW0v4QQQoiaQpV58lghxzgnTC1T4hCfIIKwK1ZQw1VUQuz4Ho9eEvBWYEyFSRPwgGV7BAIr7BhESR+TQDnZmxTC+6Rl9CKD/Tt4JQkNC1/emMIQZDUaccMeGVbR2esUVwf2zGVKRoJ3hGQJZS1zFLx6nJd9k9E6ZBKiHryw1DvpozMQuhipiFw8giwafPnll2UuF+3C3ifEIJ5C9vBk2w9Wnu3NGMKLEc4Hvq9bt25WrzO/Y+8SIW+eMHFRoXBtDG32xflkOGESoKqYI1Hw2hHCzN40Dx6jMH0+84pEH3j8on1PUplMUDc8Rkn7PoT60FZ4PKPXCyMScsHcXrx4cdpnhdTFe9yYJ4xrQlH9/rdsUH68z+GYSjIWk4xhRCfzixBg7s+hh406co+P1o8XbUJdEMLR/Y1hu0HYdj7ZTzj+mKeE45Zl/AkhhBDVlSrNronA4w8xITMY0ySgIHSG/Rc+3AxPCn/U8doQZsR+FDbdE6oThvtlg3AfwvTYd0FCDB+qhOERB+cnSQCb//GeeQ9PNBuih3MTYsS+D+px1VVXuUceeSRRAgwPSUcwKtmPhPFBiBHZD0lOQTshUtnrQ5IGDDDOz76hcP9RCPtwCBNkDxi/oVwkPPBhU5QZryHGFp+xJwjDNtwTVwgIUPaz0I8IAPZUsmpPm2SDhCF44vgdZaW/8VZmAlFHG+C9o534TZzYTVou/k8yB7zLfE/SCEJBkz70vqztzRgntA4PGmOU0F2eIUmonQ+TzQSJcBD/hFZiHD/11FO2T6us0MaUnznJ2KN8oYerKuZIFIQDe/Xw/FBGxB4CIiwn9xDuJ2SCxANOBkYWCVggoJ8ywRyk7/kNwoDFAe5ReJBzwYIFdSLZCnt/GZ9+LEeTD2WDRQ8fnoi4Zq9fIXXx0C4kxsFbS/bSXPixiGhj8QLBj3c726M4ko5hFvhY+CBcmvtbCPtWqRPzibozVthP6BOv0C6cH6HKXkTaCE8g+/SAxR/mA4lguD/iGWSRjD2qjEHGJ/OE+UJYLX8bhBBCiGKjSkUem+Uxfki6QMIN0q+zjwVvDoYg8MeaP/Bka8OgxMjhdxjK+cBz+NgvRZgQ5yC5RriPJxMYdSRzwOBjtZeEHtGVdQ9GF2FtGNd4PUiwgIDo3Llz4jJ6Tw/X2H333U3cknwAkYEgxSgiCyKeFfZBsQcNURT3gHD27SBqfaZA6stKvg8Rw2gj+QVtz7UwfsgkiHFfFjAmScZA/Tkv18a4z+bJAww3kpCQHZE2JLlHNNOnh6yUGNEYfoShYRSSKbMs5cI4v+KKK2zxgH7HgEYw+cUAFgay9WdZ25s9coh6hD7XP+CAA2yPIokrci1ikLwC0co+Mgz+TCG/+UJCCjzeeFYw0n36+aqcI5ngHMwd2pwkIyQfCcvJPYR+5P6BoGDuIMTx/MaJZ7w+iCjOw3yjv7JlDo1y8cUX23hkUYFFGIQo4Zu55kAI4pnfcX/kcQksQBRSFw99hAeQ/4f7N+PAc0Z7Un/uR3g3w0eOZCLpGGZOMZ8YKyzahXAdvHQstHDPZkyTFZc+9vD3gXOTxAdvLoLNew8JkWVBh0UU2sSLQ/qPNmUsM6YJ+6Ss/G0RQgghio06JUkzoAhRy0FEYHDjcRSipsGiBWGLRAkgcrLBGMdLhietosCDhqct13MQqwt46dn723rAOFe3YeOqLo4oYuYM61rVRRBC1IC/RyQFwwFU7RKvCFGTYCIRdoc3RoiaBHvPSKCD53+bbbbJKfAqYy7hdWZvYE0ReEIIIURNQyJPiASwYkKSESFqGoSA44EmtDNpptiKpHv37ra3+rjjjrPwfCGEEEKUPwrXFEIIIcopPEYIIYSoDn+PqjTxihBCCCGEEEKI8kUiTwghhBBCCCGKCIk8IYQQQgghhCgiJPKEEEIIIYQQooiQyBNCCCGEEEKIIkIiTwghhBBCCCGKCIk8IYQQQgghhCgiJPKEEEIIIYQQooiQyBNCCCGEEEKIIkIiTwghhBBCCCGKCIk8IYQQQgghhCgiJPKEEEIIIYQQooiQyBNCCCGEEEKIIqJe0gP322+/xCd95JFHCi2PEEIIIYQQQojK8OQtt9xyqdeyyy7rJk2a5KZPn576fsaMGfYZ3wshhBBCCCGEqOaevFGjRqX+feaZZ7qDDjrI3XzzzW6ppZayzxYvXuyOP/54E4BCCCGEEEIIIaqGOiUlJSX5/mjllVd2r7zyiltvvfXSPv/444/ddttt53766afyLKMQQghRpfz+++8WqfLbb79pMVMIIUS1/3uU2JMXsmjRIvfRRx+VEnl8tmTJkkJOKYQQQlR72g2e6Oo2bFzVxRBFzJxhXau6CEKIIqAgkdenTx931FFHuc8//9x16NDBPnvjjTfcsGHD7DshhBBCCCGEEDVI5F155ZWuRYsWbsSIEe67776zz1ZddVV3+umnu9NOO628yyiEEEIIIYQQoiKfk1e3bl13xhlnuG+++cb9+uuv9uLffOYTsQhRVp5//nl3++23qyFFrWT+/PluyJAh9n8hhBBCiEp9GDob/pRRUxTCnDlzXJ06ddzMmTNLfffJJ5+43r17p8KBK5rJkydbWViwgNGjR7tmzZq56kQhZbzwwgvdpptumnpPm/bo0SP1vnPnzm7AgAFZz9GmTRt3zTXXlKnsFdWet956q2vdurUtPJW1jFVBXPuTD+uII46w/6+00koVPpaqIxMmTHBrr722LRzSRtExFB3bQgghhChjuOaaa65pBkIcX3zxRSGnrRV8//337pJLLnFPPvmkeT9XWWUVM1QwYnbZZZdyNR45b3kZvhj6lDGXIMgHjHPCfaNG7D///OMOPfRQe2xH+/btXVVw8MEHu7322stVJ8hcS3vl8yzKQYMGuZNOOin2+0ceecTVr1/f1dTsUieeeKK76qqr3P77718jn9EZ1/6XXnqphcQjZGorxx57rO3xPvnkk90yyyzj6tWrV+3mpBBCCFFUIi9q6C9cuNC9/fbb7plnnrF9eSLec9WxY0dbjR4+fLjbeOONre0mTpzoTjjhBMtOWpngJeD5hhhPVQEr9BiyURo1auSmT59eJWUKy8CrOtGgQYOM7ZWNpk2b2iuOFVZYwdVUvvrqK5s/Xbt2tT3BhcI5qkroxrX/ueee62or9Me///7r5s2b57p06eJatmyZ+q66zUkhhBCiqMI1TznllLQX3oL77rvPXXTRRfasPJEZHhaPB3TatGnmeVh33XXdRhtt5E499VT3+uuvpxmv3bt3N+OcUFgePP/DDz+UClO65557zMOGB+OQQw5xf/zxRyokb8qUKW7kyJF2PV4ITB+i9fTTT7stttjCNWzY0J53SJZUrte8eXO75lZbbWX74UKv4JdffukGDhyYOh/wPMSePXu61VZbzTVu3NhE6wMPPJBWZx6pccUVV1jYFddbffXVzZMZF65JuQnR5FgM97POOsse2RGWhZV99n9iIBfq7Xjqqaes/TEad9ppJytLSDQ07J133rHj8CjQJ7SfF6L+WMLL1llnHbf00kubcTp37ty0c950001urbXWMrHG40fovxDagj2I++67r7Un53rsscdyhthlu26ukLZouCCGdbdu3axd8Ngzr6PgOaOvmzRpYt5YxvWff/5Zqv3oa+pBfXI9O3PnnXc2r1zIjz/+aG01adKkUsdzfsoAbdu2TY3xpO3MMfvss4/VgfHo2+nOO++0cjMPqBeLIIxfxhledz9282mLV1991dqZtlh++eWtj3755ZeM7c/nRx55pB3H8Xvuuaf79NNP0+rNWGNhaIMNNrBy7rHHHqkEWIWOd+BesMMOO9gx1IV59tdff8We07fZLbfcYsdTXu5VPLcnhDFNWRmf66+/vrvxxhtT3/l7wNixY12nTp3sGMYc88yPC75n7CcJ+c12rf/++8/GGPcVvl9jjTXcZZddlvV8QgghRK3dkxeCQfLwww+X5ymLhp9//tk8nXjsMAijeOMFUYTg4ngEz3PPPWfhr4QPhiDMMO6feOIJe3Esj7AAxN22227rjj76aDP+eGGEeRBOHPvhhx9aOCRGKWFQGNN4ZDEaMfQRmz6krFWrVibi/flgwYIFJnYIPZ01a5Y75phjbB8RItZz9tln27XOP/9898EHH7j777/fxGQmCF+lHIhMRBWG+B133OGGDh2adtxdd91lbchjOzDAKRftlBRE0H777Wd1RGD269fP2iQbhx12mLXBm2++6WbMmGHHh96fv//+2wTA3XffbUY9Qgzh7Rk/frwtiJB9lrbyoWgvvvhi2nVItIGh/O6771pbcF3GQhy5rpsvLBDQPpTroYceMiMZ4RfC/rdrr73Wvf/++9YXL7zwgoluD/3CI1YwqGlfREW0D6PQB4wNPDiee++91xYQMPSjMB/8QgTjzY/xpO2MQEF8vvfee65v376pOcUCCPOUxQrGHl7Cr7/+2ubX5Zdf7s477zyrX9K2oP6EYW+44YbutddeMyHFuEM8xrU/iweIe47H2844wLsV9jkZjhGvL730ks1TFtrKMt6pO/OexSfGHqKLskaFd5TPPvvMjRs3zj3++OPWbtw/ELoeBNsFF1xgY5T7DWGo3AtoqxDKQ79xDOPFLxby94S+JVQ5F7muRT/RrpSX83M8i2RCCCFEMVKucXoYhTU5/KsiwRjCYGN1ORsILQzP2bNnp4QZBjwePwQGAsiLQVa2/Yo34orfYuDg2cOLwcp6pvA+RNFuu+2Wek+fbbLJJqn3F198sRnLGEQYeXxPaCXXCs+HAR4al+z9wsOAEYU3Ds8igvP66693vXr1smPwsGy//fYZ646goM4cz+o9bfXtt9+6M88804w3DGpAmA4ePNj+jQeL46l7WKdseE8PjwABvD20OUZ8HBjShCL7/uO6IRjhlGPrrbe29xiWeBQQILQFRjkGvDeAvfeWzzFqPRyDdxQwUjFMOQcGeCZyXTcfSHaDyOG3fpwhdDhfSOh5wkhGwB133HEprwl9Tnm92MGDNHXqVBMBcSBCGGuPPvqoiVxgfNMemfb/4m1accUV7d8rr7xyalwmbWf2fEaf6cmcwpPHOEeUebGBF4yxxzhhjCAYfXvnagsWIbbccss0jxJzORN47JhziHUvahAizAkWdA488MBUn9988802hoF2Y06XZbzj0WJBwdeH8c3Yw7vG7/F8ZYKFHu5P3AvguuuuM2HMtegT5in/pn8B7zCLPXj//D3Bt6M/Bry32nvrk5DrWsxh6sX9hzGFJy8bLDiEiw7sARVCCCGK2pO32Wabuc033zz14j0hMOecc469RGkQeElgBRqjLvS8YXDi6eO70KD0Ag9o/6jHJQ6MzhA8eYg1jHmuQwgY1/KevDjwRiAICVfDGON3iDz/O86BkZQ0oQzH44EMjXr2MFI+vCmeaDKWfOrur+ONdA/XzQZiAQ/Irrvuap5JPB8h7Gv0wggQg2Gf8X/qEsL7sE+jdcNbSWhotrrlum4+8BvOh3c2er4QPGj0KYY9Y5AFBsIx8TAV2r6ICM6DyIK33nrLPHEItnzrkKSdo3Mg05zC48zc84sL/rOwP3K1hffk5dP+YdshZBFlYflZvPECL8n4T9IfeM4R1X4PJy/CShG+LDjFQWirF3j+vPwGcUyoJ/MEr254XoRwdP5k6o98SHItxhL9QXsSivrss89mPSfClwUz/wrvyUIIIURRevIIJwwNcYwgVtPZX5LLU1VbYQWZNiuv5CrRRBGcG+MqCdFwUQQe4Y54O9g7h5fkgAMOsD0s2SB5DF4bMnj6fUmsyPvfVVSShLLUvVAI78P7Q2gq3i68BmPGjLGQv5pet3xgD9Xee+/t+vfvb15jxD1hfRjX9DsCpFAQ0ezxQtCTWZUwzVzelkLJFDKdqe2z9UeStqiIOZCpTEkXkeJgIYXQVsRPJiFX6DnhtttuKyUyo89TzdQf5X0tFiQRrMxfxDkeYxZtiEDJBKHmLO6EnjwJPSGEEEUt8mpzWu9CwQBkZfyGG24wQypq1BCehMcEbxp7aHh5g4KQI77Hq5AUwjXj9v1EITyMVW4vWDCYookZMp2P3yH4Dz/8cHuP8UvIny8nwhYjl1BKDPhcUHf24GCw+kUEroGHhP1w5QXXCROaQJj4Jg7CDnmRgIaQSoSIbzOSw7CXyodI4smgz3yoI/+nLmGIGu/z6dNM5LpuPrBAw/nYc+i9g/58Hr6jnwmL8x4uwnNDuHa4by1p+7JQgEcHQ539eYSh5ktFtXMmkrQFnlnGP3stk5Sd9qftfLgmXkH6oCzlTzLeEUDcZ1jkyQe89oRU+wyYnNeHtuL15HP2FBMKWpEkvRaecfZz8mIhi7Bi9rxm2mZA8ideQgghRK0J12RlNFN4EAZJdIVW/D8IPIQSBjlihj04hFKx98WHT7GyjLGLoULIGvujyLbH3ph8QpoIPcNYRKzNnz8/qzcIMUZyFUKZCNvCYxU9nvOR5IHkKJzP/w4PIPutqAeegDALKCF47Kdjbxb7dgibwghkn1cm2EeFuGVvHx5P9mfhMWM1PQyZKyvsmaLt2WOHAY2gIFQtDp7bx74nMvyRZRTRwP7IUEjhXaHctDnGP6J5m222SYkvrsU12N/EtcnKSJtnS5iRhFzXzQcMc4xe+tGfD3EeeqMQAewJY+8VBjXJP9gfFsIiBvvv8AxTV8Ratv14IVyPcFiEfiFe0opq50wkaQu8QYwVxjYJTRjXlM3PoRDmE4smJEzCI8hcZAGFcEg+r8jxzjxlHvtkORzP/MuVeIU5jqCmrC+//LL1PR4yv48OcUvYI/c4FoDYC8jiCP1S3uS6Fv8noQ59wPcPPviglTNXxk4hhBCiJlKQ5RwXGsT+Kzw+IjOkeke4kdCB7H/t2rWzZCGs9GP4AR4sjCtSqO+4444m+vgd2e7yAaMWwY0HgFDabPvrMH64Ht4DMvDhcWRlP4TEDghG9gJxPiDTIMdxPKG6GEw9evRI+x3Z7agriVMQRaygx+0fwpglyQXClkQwGKeEvnGdfEDoUJ44CD9DZJPMgutgmJPkJA7akQUMxDaePIxYMsmG3hlC8zCUEcjsAWM/UNhntAuhrQgfEm+QDAIDNFs5k5DruvlCmfCIsKhAAgsypvLoAA/txXghaQfjl8Qg0TT0iEy8cdSX49n7lLQP8ZCyL43/xyX7yEZFtXMmkrQF44X6I4IQ3izmML/jnk1JWdkTSRgox3KvZU6U5Tl+ScY7HkcyiCJ+eIwC+6yZs+Ez6uKELuOEDKC77767nSdMMoNo57EG1IvFK8YVApOkKOVNrmsREeAT4eCp5n7mk+oIIYQQxUadkjw2c7BCCoSrkXAjfMgyHio8PfzhJI22EFUFxh1CurLCijEk2YsYfX6dyB+/kID3K7rQIKoXzC+EY/icy2KGPXmWgGXAOFe3YeF7T4XIxZxhXdVIQoicf494Li3bEMplT97VV19t/0cXshochmbiwSOkLxquJERlwoAnLJQEKaLmQNgj3lI8fngCJfCEEEIIIQonL5HnU2njJWGfCyF+QlQnWNkIH7cgagbsc+S+QnhjXLZDIYQQQghRAeGaQgghRG1E4ZqislC4phCiUsM1yXDIPjxS/4fPDspERWROE0IIIaqaWUO6ZP2jKoQQQlQHEos8kqmwb8b/O47wIelCCCGEEEIIISoXhWsKIYQQ5RQeI4QQQlSHv0d6QJAQQgghhBBC1MZwTR54mxQybwohhBBCCCGEqMYiD7egEEIIIYQQQogiEXmjRo2q2JIIIYQQQgghhCgz2pMnhBBCCCGEELXRk7f55pu7SZMmueWXX95tttlmWR+V8NZbb5VX+YQQQgghhBBCVITI6969u2vYsKH9u0ePHvlcQwghhBBCCCFEJaHn5AkhhBA50HPyhBBC1KS/R4k9eXH8+eefbsmSJWmf6UGxQgghhBBCCFGDEq/Mnj3bde3a1TVp0sSUJPv0eDVr1sz+L4QQQgghhBCiaijIk3f44Ye7kpISd+edd7rmzZtnTcIihBBCCCGEEKKai7x33nnHzZgxw6233nrlXyIhhBBCCCGEEJUbrrnVVlu5uXPnFn5VIYQQQgghhBDVx5N3++23u+OOO8598803rl27dq5+/fpp37dv3768yieEEEIIIYQQoqJF3o8//ug+//xz16dPn9Rn7Mtjnx7/X7x4cSGnFUIIIYQQQghRFSKvb9++brPNNnMPPPCAEq8IIYSoNbQbPNHVbdi4qoshipg5w7pWdRGEELVV5H355Zfusccec2uvvXb5l0gIIYQQQgghROUmXtl5550tw6YQQgghhBBCiCLw5HXr1s0NHDjQvffee27jjTculXhln332Ka/yCSGEEEIIIYSoaE8emTW//vprd9FFF7kDDzzQ9ejRI/Xad999Czll0TN69GjXrFmzSrseCXAmTJhQadcTxU/nzp3dgAEDEh07efJkG4O//vprhZdL1L7xBRpjQgghRDmLvCVLlsS+ijmzZu/evc1wjb4+++yzvM914YUXuk033bRCyikqh9pmZD7yyCPu4osvTnTsdttt57777ju33HLLVXi5RO0bX0IIIYSogHDN2swee+zhRo0alfbZyiuvXGXlEaKs/Pfff65BgwY5j1thhRUSn5PztWjRwhVDvSuChQsXlgpzr+3kM76EEEIIUU6evGuvvdYtWLAg9e9sr2KmYcOGZryGr6WWWspdddVVtj+xSZMmrnXr1u744493f/75Z2zo5pAhQyx5jfcG8hnkcx7Pp59+6nbccUe39NJLuw033NA999xzpY6ZO3euO+iggyxkFGOqe/fubs6cOVnP+/7777u9997bLbvssm6ZZZZxO+ywgz0fEfDaEq7bqlUraxO8ks8880zqt5ybeo0bN85+16hRI7fVVlu5Tz75xL355ptuyy23dE2bNnV77rmnPXcx9JYS9kv7IJ65NuHBGOSef//915188slulVVWsTpvv/32ds6oh23SpEl2ncaNG5tn6eOPP06r36OPPuo233xzO0fbtm3tmosWLUp9zzluv/12C0HmHOuss45llfX122mnnezfyy+/vB1L2X3bXHbZZW7NNde0em+yySbuoYceSp33l19+cYcddpjVj+85b3ThIFd2W/bFcl3GyUYbbeSeeuqp1PezZs2ydqV9mzdv7o444gg3f/78tLC4E0880ULjVlppJdelSxd36KGHuoMPPriUEOH7u+++O2M4Hf1w5pln2jhlDJBt94477oj1cj788MNWVo5t06aNGzFiRNr1brzxRmsL+oNyH3DAAVnbIdf54rzn9Cl9w3WAMvbr1y813jIllnr88cdt/PIb2iQMS88UGs0883Paz4WxY8e6Tp062Tnuu+++nP04ZcoU16FDB6vfqquu6s4666y08cmY4l7BGFpxxRXdrrvu6v7666/Y+ucaF7nOR7ttsMEGVv7111/f+svj64g3jnnBfGHcv/baa2llePXVV20c8T31ZuwxHzKNr3vuucfmL/ce7rOM0Xnz5mXt41deeSV1v2Fccp8I65DvGBNCCCGK3pN39dVXm2HKH0f+HQd/6PnDWtuoW7euCVyMxy+++MLE2RlnnJFmCHkwpjG4EEXPP/+8febD2vI5jxcU++23nxksb7zxhvvtt99K7WvBWMeY2nbbbd3LL7/s6tWr54YOHWpeyXfffTejN+Obb74x4Yjh9cILL5jxi4HmjcyRI0eaUX3LLbfYMxPvvPNOS7iDMMSI8gwePNhdc801bvXVV7fnK2KoYbTxeww9hOcFF1zgbrrpptRvEGeMM4QCxmOfPn3M6Lzkkkvse9oDA/+uu+5ya6yxhrviiiusfoTNht6Ac88918qI8Y5Q5PrUAWiHI4880trai9djjjkmVWYPwo/zDx8+3F133XU2BzDOMSApw/7772/ikfbBsAQE3r333utuvvlma4uXXnrJHX744VYOjPzzzz/fffDBB+7pp582wUC5//nnH5eUE044wUQv50UccC4Mdy9YECmIFuYp50WI0c70o4e269+/f6o9KAP7a1lQ8OeaOHGi+/vvv2P32dJ+GPG0IQb97Nmz00RDyIwZM6wMCC3G/9SpU21s06+I4+nTp9t9A8MeQf7zzz9bH8WR63xxUE/6DTHC4gxQb/qO/mAeMqZ32WUXW5BgPD355JPWBownBC9tH4qxpCDSGI/MF8b30UcfHduPzL+99trL6sI1P/roIzue31FnQmF79uxpY5Oy/fHHH9ZeJSUlGa+da1zkOh+ilHl6/fXXW/nffvttKw/l7tWrV+o6tNGVV15p455/c07anHvOzJkzrV2Zh8x/PnvxxRdjQ/y5bxG+ud5665m4O/XUU6094tqeOcw9jXsb9yMWj1jM4MUiSr5jjEUMXp7ff/89YU8LIYQQVU+dkjirQJQCAwPj3XsAgJXxBx98sNSxrIojLLzRy6o+4st7NjDUWP3H8MlG9DxRnn32Wde1a1cTHi1btrTPEI+Ua/z48eYVo8wYPh9++KGJcMC4xNtAGXbfffdS5z3nnHPcmDFjTMBkCitbbbXVTGxwnAevA96OG264wcQZQpXV/6OOOsq+53wYfYg4DE4YNmyYtQ1GrG9jvCZ4HhGBgFg6/fTTTcBinOIB4DcIRm8M4smhfTkOcYg3AQGNUQkYhrQTv6f/8FLw3dlnn50qP+2EgPz222/tPW113nnnpfYJ4RHACEcMYEz66+CJ8El1MAoRBlwbUe3BuEYw3X///SaGEXcYooXQvn17E5ehGPXQzxiuCDQPSZIQpfTluuuua8Idg/Wtt95KHYN4x1uEJxkPD9C+LCLQb8Dv8IQh2hFAGN94jWnLKNG2QRxjdDNePbQ1AoqFAUQXYp6ysgiQi1znywRz7tJLLzUB5UOs8fwwLhAReMw8eCU5H8IfQYCnl/GRCcaJn2se6kw7MZ79XOD9KaeckqgfEUiI0XDOstCDMGMecN/YYost7NwsdOQi17hA3Gc7H+3BPGD+hudkXiGwM813RCveSeqA54/x9NVXX1mbZyIcX5lApHF/QYAyD6NjjDmGcEeke7gWCyvMXcqazxhjvLDIE6X1gHF6GLqoUPQwdCFENrDhWJTGHsDJUK6JV6KwEovR4cNuihmMCurqXz481QsKxA8GBIbyTz/9ZIZ9PuR7HgwoDDUv8CAUF0DoGavpnA/jiBdChPBbH34Zhbrh4cok8BhcCKGOHTumfc57yhOCIevB2wiEhIWfRUOw8Ap5gefrgxGK8KO8iLrw2pQRgZnt2ggY8NeiTQg39e3BC88EHo2wrcNz4LVgMmULGaOd+f1uu+2Wdm68Mb6t8aAhnDBoERIYyfmANwIDmzZAIOCN9VAvvCPhtTGwIexrDPoQvCp4dfDYAEYx4ayIqbjxgUGNAZ0E+ibTeCHUmPsH7YW4QEwx5ilHtrmT63xxcI1wDy3txdjCAxi2GV5J317eA1VWCD1M2o/Uj3HvBZ6vH2VFpDBHKBNzCU/kbbfdlvX+m2tcZDsfY4FjEG/h7yl79P6Rbc7l2454awlnJQqAe5cfawjFuDqy+BOWEQ8/CxX0Z75jjAUg/oD6F/cfIYQQoqgTr+AxwRjgjz4GFWF9hG1hmD/xxBO2IlusYOizqh3CKjZ71zDeCSlEQLGCTPvgMQsFSzbK6zxR/Cq9N+CTJI3xoYdlJRSJ3mCNfoYRVhFkura/Fm3CKj2hrlFCT21U5OYqr98/iUcJoR7iPUV4WfG84lnAE4bhi1eUMLck4LHAeOUaeLIIDyUM8KSTTrLrYxhffvnlpX7njW4/jqMg6DCkMcopF2MAj2VFjg8PRjyeRbwz1InQQDwp7LUsz0ePROtNe9EuXDeKv26uujImogERLETkuna2fswFAps+YoGA3xJKjPePkG08alFyjYts5/P3HYTf1ltvXaocSedcPmMGYUnb8OK+xX0Kccf7cH9utI7HHntsxu0CCEXC0vMZY8zX0LsrhBBC1CQK8uQRQsjKLxBahzgh3I4HpGMY1DZYccaQwUDbZpttLCTOh/zFgcER9TgUch4SIbDCjAfK8/rrr6cdQ3IRPBwkKkGghq+4FPesyBPelclYxZuF59Dv5/LwnsQvZYUV+XCPGvVhVR6P5VprrWVtF16bMmKo5XNt2oQwtWh78GJfZBL8XsawHykDhiEGafS8lN+D0cpeJkIACU+79dZbXT5wLsJ4CXM87bTTzAD39SJckfDV6PUzCbsQwhI5LwlCMKzx6MRlgGSRh7FKcpAkME4zjRfGuBcKeBMJ/WRfGF4t7ivhPsJ8z5cE2uv777+3a0fbi5BaPxcIMY6DvgznH3MtqQc/rh+pHwtnoXikfohhkh15EYV3j8UK9sgxHgkbjatnrnERdz687cx39ghHf5tJUMaRqx1D+HtCBAPh3EQU4HXMlXSFOhIimmlO+7mazxgTQgghap3IY3+YT4+ONwJjEOOKDfXvvfeeq21gRCA0WP3GEGJjP/vIsoGxRQgRIUy0J3u5CjkPBgttj2BAHCHMokIbDw0GKxk1+Z7rsprNijehX5kgWQFhmYcccojthcFwpTw+QyV73/AKIAj4jKQS1CXcc1QorNTjvcRgY3wRykZ5EF8YpHg6uT57DzmGMEuMar8XKAms4hNCiUGL8Ut4HCGU7MFLCqFfGMZ4r9kfhicBI3zQoEG24EFyE8LZ8B7Qp7z31yYUktBOrs3vMerz8aSzt4p+5NyE4fnf4xEkoQR7pxC+XJ9j2YuU5BmW7JtizOHViQvV9OOXMcecZ1+nH1NkU80EAgYDn31d7OejLUjiQVsBbUDoM2MILyd9g4hk318h50sK84ewSPbT4d3B6MebxRxi3APj74EHHrD/M064x4UeMfaXcm2EEb9BtCV5PEK2fiSJDIs3ePUQPIwXrk/yEeYBHjb2F3I9FhQQiYzBuHGUa1zkOh/zBE8jfUR70wYkM2EPZ1IIf+Ta1A2BRb1IuJRpv7H3vPl7IVltcz1Dj/2K9B33CsYR9yzajfeFjDEhhBCi1ok8VnYxrjEOMLTZ6wAY2vmsohcLeDUxdjD82rVrZ14QDKJskHCBUDj2+OEJwIgs5DwYfKy24/liXxohYD4LpYdwKzL4YTgRnojhhiBiT17chk32KLHCjXAhhI9wT7wM3nhFIGJwYmzj1WEcYIiFmTULhfBFzkMYMJkTSVRCWJWH1X3aj301rN4jljBYSciSFMK+MPow7EnmgOeUrINJklh4CMfE+EXgMie8MYkxSgZN+o62pp8JyfNeD4xXDF48G9SROeOTmwDhztkyRDLvMNr9uRH5Pvuq97ByDAl16BvEBOFoSTyUCDvmNnWL7nmLgoFOCnqMdjwtiO24FP70EwKQejK2EbrsifT1pHwICwQT9UJoMidI3FHI+ZKCSGchgX5A8NCWLGwgAvweUvqD5EqMb/ZRUsZp06alzoHnHY8cHidEMkIzSWh1tn6k/SkX1+G+gHBkzvpFCOYtc5oMnPyOzykHocCZyDUucp2P+wpJVRB2/JZ7Avvf8vHkcV7mG4tR3KsQ14gwvGtRuCdyftod7zhzPlc4M/MJzzIilL4gCyjjwu9XzneMCSGEEDWZgrJrYnATYsZeDoQdf1QJUSNbIEIg+mwkIZKCkU4G0uhzx2oTCE3EY76CRQhR8dnMlF1TVDTKrimEKI/smgUlXkHksXpOOBGhmn5zOh4JvBpCiMIgfJOJyzPohBBCCCGEKISCRB4QphUlfCguENZDyFGYcEIIEQ+hY2EqfSGEEEIIIarVw9BJQsH+C55LJIQQQhR7eIwQQghRNA9DF0IIIYQQQghRPZDIE0IIIYQQQogiQiJPCCGEEEIIIYoIiTwhhBBCCCGEKCIk8oQQQgghhBCiiKhQkXfLLbe45s2bV+QlhBBCCCGEEEKUh8ibMmWK69atm1t77bXttc8++7iXX3457ZhDDz3UNWnSpNBLCCGEEEIIIYSoDJF37733ul133dU1btzYnXzyyfZq1KiR22WXXdz9999fyCmFEEIIIYQQQlTVw9A32GADd8wxx7iBAwemfX7VVVe52267zX344YflUTYhhBCiWqCHoQshhCj6h6F/8cUXFqoZhZDN2bNnF3JKIYQQQgghhBDlQEEir3Xr1m7SpEmlPn/++eftOyGEEEIIIYQQVUO9Qn502mmn2T68mTNnuu22284+e/XVV93o0aPdyJEjy7uMQgghhBBCCCEqUuT179/ftWjRwo0YMcKNGzcutU9v7Nixrnv37oWcUgghhBBCCCFEVSVeEUIIIWoTSrwihBCiJv09KsiT55k+fXoqk+aGG27otthii7KcTgghhBBCCCFEGSlI5H399deuZ8+etg+vWbNm9tmvv/5q+/PGjBnjWrVqVdZyCSGEEEIIIYSorOya/fr1cwsXLjQv3s8//2wv/r1kyRL7TgghhBBCCCFEDdqT16hRIzd16lS32WabpX0+Y8YMt8MOO7i///67PMsohBBCVCnakyeEEKLo9+TxLDw8eVEWL17sWrZsWcgphRBCiGpPu8ETXd2Gjau6GKKCmTOsq9pYCFH7wjWHDx/uTjrpJEu84uHfp5xyirvyyivLs3xCCCGEEEIIISo6XHP55Ze3kMxFixa5evX+5wz0/27SpEnasezXE0IIIYohPKb1gHHy5NUC5MkTQtTKcM1rrrmmLGUTQgghhBBCCFFBFCTyevXq5WobF154oZswYYKbOXNmVRdFVACTJ092O+20k/vll19SjwWpjvTu3dseV8JYrO7MmTPHrbnmmu7tt992m266aaVcc/To0W7AgAHWRuWJ5n/lovYWQgghqmBP3ldffZX1Vd348ccfXf/+/d3qq6/uGjZs6Fq0aOG6dOliz/kTAnjG43fffWfub1FzOfjgg90nn3xS1cUQQgghhKh5nrw2bdq4OnXqxH5Pls3qxP777+/+++8/d9ddd7m2bdu6H374wU2aNMn99NNPFXpdrtmgQQNX2dD+9E/dugVp+FoJ/YT4FzUbHu/Cq7aguS6EEEKITBSkAgi/euutt1KvN954w918881u3XXXdQ8++KCrThC29fLLL7vLL7/cwvHWWGMN16FDB3f22We7ffbZJ3UcHsju3bu7pk2b2ibGgw46yMRglFtuucUeIdG4cWM7hk2PYShdjx493CWXXGKPklhvvfXs87lz59qxhAGusMIKdh1C2ULuvPNOt9FGG5mncdVVV3Unnnhi6rurrrrKbbzxxpbUhmsff/zx7s8//0wLUePcjz32mNtwww3tHNQHz1TXrl3N6CVs7v777zeBHu6pzHXuJLz55ptut912cyuttJJ5wjp16mTjwkNdEZ1hqCv9wmeESQJhkocddphbeeWVrbzrrLOOGzVqVOr4XG3o257srrTfiiuu6E444YS0R338+++/7swzz7R60kZrr722u+OOO+w7ykF5fJgfCwA9e/Z0q622mvU1bfTAAw+k1fuhhx6yzykv19t1113dX3/9Vap9yG3EtaKZZ2kPrvnZZ5/FGvCnnnqq1Znzn3HGGXaukCVLlrjLLrvM+pdybLLJJlYuj6/Xk08+6dq3b++WXnppt80227hZs2alneeVV16xZ1xyDtrn5JNPTqsL4+bSSy91ffv2dcsss4x5xW+99da0c0ybNs2enck1ttxyS7tPROG6e+65p82z5s2buyOOOMLNnz8/9X3nzp3t2tSVfkZ4E7oXQh8de+yx9nuu1a5dO/fEE0+kzQXP559/bmOFY7nmVltt5Z5//nmXi2HDhtlvqOtRRx3lFixYUOqY22+/3W2wwQZWhvXXX9/deOONWc9J3ZjXvJgnzJfzzz8/rU8Zo4MGDbJxx5zceuutU3Mk21znGO5r/IbvO3bs6L788svU72666Sa31lpr2WIG96V77rknrWyMEeqz77772nhn/nGNcCzSDn6ccY6RI0emnSNXGaJ8/fXXNsfoZ37DmOFvSSH3mEMPPdS8uCHMfY6/++67E80VIYQQwtV2kccfx/DFH+ejjz7ajNhrr73WVScw7HixhwkDKhP88ccQJBPolClT3HPPPee++OKLUkYDxvi4cePc448/7p555hkzYhFFIXgIP/74YzsHhieGBqGhGIuITUJEKc8ee+xhnj5vgCFIjjnmGPfee++ZcYUo8OCRo13ff/9980a+8MILZgSHkO0UIYuhxnGrrLKKO/LII923335rxtfDDz9sRvm8efPSfpfk3Ln4448/bJ8mQuH11183A3Gvvfayz5OCsfvBBx+4p59+2n344YfWJhhokKQN4cUXXzSjnv9TFwxiXh7aA6FGfbkGgp3zZAKjfosttjBxhDChbxAkCBlAQGOgIno4F2283377lRJh3oDmuFC0Au933HHHtL4OGTFihJWfBQDalvE5fvz4tGMwWjFiWWShDwcOHOgOP/xwG8chp59+up0PYxkh3a1bt5QAps1oSzze7777rhs7dqxdL1xo8OXx4o1xTwg0Yx1YGNh7771NeMyYMcOEGWIlKs523nlnE4I8coU5xEIK4j2EvsPox+C/4oor3EUXXWTzyc9VRCJj4N5777UxgyBbaqmlMrYh5WIsMi8pN/Wk7tnCypnjlB9RSzlZNIgKuPvuu89dcMEFtqBD/3MsY5iyZ4PvyULMOEIkscjCnPXQ5q+99pobM2aM9cWBBx5oZf70009j5zoiiQUOhA+/4feMVx9twZjh8TannXaajWUEcp8+fWyehAwZMsT6gnPQZiy6+OzItHurVq1sEY82p+7nnHOOtZXPrpytDJn6hWO/+eYbu9+98847dt/hOoXcYygr9+VwgWrixInWVgjXfOaKh78XZDALX0IIIURRP0IhDkQQoi+TN6MqQeAgQv/55x+3+eabm3FxyCGHmGcDMCAxHGfPnm1eDMCQwbOGMcbqP0bf0KFDbWWaVXbASMVThqGCxwFvEp9hQPowTQxRfoch6A0ehAkr3QjP3Xff3c6H0cVxSWD1+bjjjkt5QBAC/B7PEO0PH330kXkZMOoxzH3/YBxdffXVlpwiybkLAUON+uE5xPDPlIADg59HcWBo4uHAq4qoQ9BESdKGtD1CC8HiDX4MVkQsBjP7tPA+0Nd43ApJvEJd8NiwmIEXARFI3fAO5wKxjfdr6tSp5u1AYOHt5VxxiYz4HkMUgeYNadqR6/pFCwx8PFPbbrtt6nf9+vUz45b29/WiDfyiBYY7BjvjhjbieNoM0evBmGaeMJfxVOHJw9PnPUDcNhjzCAPGCwsIGP14ZzgeMKYRgr7f6UNEOsa3h+OZc4hFIgEYC3iNOM5DeyEOEXPPPvuszVXGAscXkngFzx9ljorYcH8mQvSGG25IfYb3E+HvvdEI84svvtiEvof6PfXUU9bHmaBuLLIgMPw4Puuss0zkcL/hvkE4Of+n7z2MV9oAIZlprtOfeHrpa/osCh417mWh55V+p29ZxADKc95551mdgO9YAGHRBZGZCdrv+++/t3tGrjJEoSwsAjB/GMP5Jl6J3mOYG4hxRDOLMd67x3GM/SRzJVMZGN9R9AiF2oEeoSCEqOmPUCjIkxdd3eQiiAqMBEREdQMPBUY2xhQGC4YIYs97eTAYMTS9wAM8EhgRfOfBSPcCDzAWMCK8NwMI3wv34bFCjbjCC+W9ihgbGIwIEow+yrbLLrvElh/DhO+5NufBiCGcEOPEwzW9aAXKhMeAenowTBFW+Z47F3hjENH0PYOOAceKej5JeBADGGOIAVb0Q0M5Vxt6MGRDjw5Gn/dcYizyXRIDFBAaGLz0J9fimogTXycMbNqN7/G23HbbbSYQ48BoZ0HAi1i8Dhie/DYTzCm8hYTreehPL9iBNqGfCGPz7cILb0XYLhAattQHwevHNu3LXAjPgeeUsc3ChyccX4gCRJ5vX87lw0EzXdNfB1EfXgfRDGF5w+tk6kcEaiaBlwnGIWKCBQ/mM9ekrNnGJt+H7R6tCwKI8hK+GNYFkRdt9yiIxdC7xXnx0jHe8OLzf+oWnhdPU3je6FynP1nkoM/wUuIhZOyE9UHohfA+vLdBeE48qczj0POP6GWBAU8w5UKo+XbMVYYo9CNCOpPAK+Qew9xAuOJh9X306KOPmocv37niIaSfeehfhIwLIYQQRZ14BWMpGobDyj4iCUO9OoLxyR94XoRVsYI7ePBgM0zKk+jD4DFEMIy88RGCsZQrOQor3axUI4IIDcMowsuCgYk3i/0zwB6TbMlwynLuXOCJQhhi2OHVYp8QxqsPpfR1DJ3G4V45wDuDlxRPCN42BBQhrHi6crWhp379+mnf0R4+/CvfZBzDhw+3+rB/0e9ZxEPk64RgpJyIUbxL1113nTv33HMtxBBvWyYYc4hoPKmEauJZS9rGmfChaXhjwsUHoA/yOQ8hfOyFi8LCRpL2TXodBAChhlEQchXRjwg8+olxxCIHvz/ggAPSwnwLbXeEfVQMxoWNJj0vvyfcNXqeMKw401xnPNF/RBIQbsuCG/VGVCYlW7tzX6ctCdllbrPgwhwJ99DlU4Z8+zHXPQYQdCziIEy5LtfwXshC5gqf5zOPhBBCiBov8qJ7OTDiMbYxolhRrQngqfPPGmOVn1VaXmG4JiFfHOdh1Rivmw+lYm8IdfcJVjKBJw2Dhz1ycS5VQuHYM0RYXRQMPgwtjCsvlvw+mGxQJkKYCJVDIPnV7NDbVOi5o7A/ij1L7JEB2jEM9/RCjJV9Vu8hUxgWx2HM8SI0kDBFjPMkbZgLhBp1xSuSKVwzU53Yp8meHeC3hHyG4wEjGI8IL/YoYXyy/4lkKZmgfRCL7DfEEH7ppZdir4+3AuGDEc2+PaA/6TPvnQ0Tb+TyUDJWvWBjDFAXxj1wPsZ73N7AJHAuQjnxrnpvHtcM4TqETjPeC71P4G0ixJPyJ/Hm0Y8s5Ph9WRj70aRHmepCu7OH0xPWhYQs3APYt+s9RUmJJhbx+8sQdcwNPHmIFMZ/vvB7XnigEECEICKwqA/tEIYF8z4cy7ngeMJYwz3ImTxgcWXI1I/sKSTMM4k3L9c9Bigf92/uFYSZ4iX3wjWfuSKEEEIUA3mHa+KBIXkABiN/LHlhkBB2VR0FHqu/7OdhXxcJAQg/I3kACR0w4gGjHxGAwcZeK/bhYeBRtzA8DuMVQ4mwM/YMsWpNiFC21Puck71mXIvfcH3CRfktxqrf+4HQIiEIoVuUAc8QYHjT5rzHqMSQZq9TLugP6kXyA+qD2OPfoReg0HNHwUjlt4R/YcRS53Clnn9j6LGnimMQWqzyhyCSCK9CiLJniaQ1XoQkacNcICzoOxKgIO79OeJELXXynjrKjKcrzLZKPX1iDgzHRx55xJ7H6MucCQx5BAcGMOePhjNGIVkGbUZ5CYfGwA73muFNwbvCvj3mJEa3HzvRBCAkL2EhgcQblIH2JFEGkHGUerLHCvHNGKQv4vasZYL9T4wrQuoQjHhko9lE8cxi1LOPjb2ilJcQWPaYJX3sCnMS0UsINv1DP2LQI5ozQTvTN9SLeev3aeVqd8Jq8UwhJvH4MyZD2KtFIg/mLMcQasnx7AnLBmOFRQDCqUkCRF9xPUC0Mta591Bm6sbc5Tp+71wmOI4xRbITvOF4lulDPxZZLCEcl8UFPqeMnD+aGCcbtCNjnf6ivkRD0IdJyxCFMcB9kzGIgOP+wwIAvy/kHuOhf7mHMTZCAZ7PXBFCCCFqpchjZZQ/xjUFwpwIqSJEDuOQpAsYKBij119/vR2DcYpRy341jkEckQCBFeEQRBEZFFlNJtkHq9G50qYTjofHBlHMbzF6fEp275VCfBAWyLnYV0YIpc+mx94vjDJC3Cg7IYsYfUlgvwleB+qEJ4M6Y+x4T0vSc9M+YZbKKDyGAO8QnhrCERFfeN1CMJrxROFVJOwxmmSGfUYYibQp5UUQ+dDfJG2YBIxcQvUQS4hg2iMuSRAilPqwx4iEGd4g9XBdysRYwDjneIQ6YafZ8KGwCJtckA2R9mR8+BA575HysG+Q8Uy/0S6EpyEIoiGjiEXEBO1Psgz2BPq9o7Q5whvjnQUbPDGI7jD5R5J5xjkRO/ye0NVoWCbnw6BH0DF/WFhhLBD+nc8zHbn/kAwJoYCHhj2ccSKR8c28xstDqCj9Ge5TzQRhtLQp56W9EC2ENEdDb/FEIeyoB+KTORIXqutBwJEAikQqiF76hMUXD+fjGPoebzxjDjEVhs1GYX6wCIDwZSxyPs7NwgRwDsIcEd3cX0iww3UY10nhXMw92ob7KYtnoVcvVxmiMPYQgtwnmEO0YbYsqUnuMYCwY5GBkMzoPsSkc0UIIYSotdk1MTpJkMGqqKg5+EyGPtlKElihx2jDcKqOSXVqGngiaXvCzRDgFU2SrKGickBUcd8Mn1Mpal42M2XXrB0ou6YQoqZn1ywovhJjn/AvVuVZ6Y4mG8mUwEFUPjzzjj1IrJKzHw7PBGGLfo9XEgi7Y1VeAq9skEmTcE5Cc9krVBkCTwghhBBC1E4KEnmEzuAVIAkEr2hon0Re9YD9djy7jP0uhPoRskZIZjSLXjYIuRJlh/1XhGriySGMVgghhBBCiBrxMHQhhBCiNofHCCGEEDU2XDMuRTxePJJ6kKCETIhJH3QrhBBCCCGEEKIKPXkkciD9NBnt/DPiyMxHZjSyFpIeHMHHg7XzeRaTEEIIUR2RJ08IIURN+nuU9yMUAC8djxngweB+Xx6ZG3fbbTdLa/7NN99Ycg9l3xRCCCGEEEKIGuDJ4xlEPGw26qXjgcE8/wqRh6ePf8+fP788yyuEEEJUOvLkCSGEKHpPHiedN29eqc9JEc+FgeybPPRZCCGEEEIIIUTlUXC4Zt++fd348eMtTJMX/yZFfI8ePeyYadOm2UO0hRBCCCGEEEJU83BNHrDNfjue97Vo0SL7rF69eq5Xr17u6quvtoejz5w50z7nuWBCCCFETUbhmkIIIWrS36MyPScPsceDtqFt27auadOmhZ5KCCGEqLZI5AkhhCj65+R5EHXt27cvyymEEEIIIYQQQlT1njwhhBBCCCGEENUTiTwhhBBCCCGEKCIk8oQQQgghhBCiiJDIE0IIIYQQQogiQiJPCCGEEEIIIYoIiTwhhBBCCCGEKCIk8oQQQgghhBCiiJDIE0IIIYQQQogiQiJPCCGEEEIIIYqIelVdACGEEKKm0G7wRFe3YeOqLoaoYOYM66o2FkLUaOTJE0IIIYQQQogiQiJPCFGlPP/88+72229XL1RjHnroIXsJIYQQomYgkSeKntGjR7tmzZq52kqbNm3cNddck3pfp04dN2HChEq7/pw5c+yaM2fOLPXdJ5984nr37u06dOjgqiPZyl6effL999+73XbbzTVp0iQ1ViuznyZPnmzX+/XXX0t99/LLL7tBgwa5bbbZpkKu3blzZzdgwIDYtikUxlWPHj3KfB4hhBCiJqI9eSKnAbbpppuWMroQThhmmYzC6sbBBx/s9tprr6ouRrXhu+++c8svv3ylXa9169Z2zZVWWint83/++ccdeuihbtSoUa59+/auNvHmm2+aoPNcffXV1kaIyeWWW67S+2m77baz6/lre3788Ud3zDHHuMcee8y1atWqStqmUEaOHOlKSkrKpUxCCCFETUMiT1QI//33n2vQoEG1aN1GjRrZq5hZvHixeWLq1s3tnG/RooWrTJZaaqmM16RPpk+f7mojK6+8ctr7zz//3G2xxRZunXXWqZJ+Yq5muh7l/PDDDyutHP6aZcHPhahgFUIIIWoTCtcU5YIPjbrkkktcy5Yt3XrrrWefT5061TyBSy+9tNtyyy0t/Cwa/jZr1iy35557uqZNm7rmzZu7I444ws2fPz/Nm3jyySe7M844w62wwgpmjF544YVp18ejeOyxx9rvuVa7du3cE088kTFcE4O6e/fudizX3GqrrWxfWMiNN95oBjfn4rgDDjggr/bIVh54+OGH3UYbbeQaNmxo4WkjRoxI+/0vv/zijjzySPPkNG7c2Nrn008/TX3v64SHZcMNN7TzfPXVV27evHmuW7duJqDWXHNNd99995UqWxgG6MMRH3nkEbfTTjvZtTbZZBP32muvpY7/6aefXM+ePd1qq61m32+88cbugQceSDvnkiVL3BVXXOHWXnttK8vqq69uYyG8RtjnU6ZMsRBNjl111VXdWWed5RYtWpRXn4e89NJLrn79+hb2GIK3eYcddoj9HeW66aabrH1ps7Zt22bde4aAOOqoo6xtOZ5xjsco01y48sorrW4rrriiO+GEE9zChQszhiTyb8bD3XffbeXh99F+gq+//tr6gfbA08V8euONNxKP6X///dedeeaZ5lml3emrO+64IzZcM9cY5bNLL73U9e3b1y2zzDLW57feeqvLxl9//WXjmjLSNtFzRtsGrrrqKhtz1JmyH3/88e7PP//MORei4ZrPPPOM23777e1Y+mTvvfe2dhNCCCGKEYk8UW5MmjTJffzxx+65554zQfP777+b4MBAe+utt9zFF19sRmYIRuXOO+/sNttsM/PqYIj98MMP7qCDDko77q677jIjD6MWMXHRRRfZdbzAwEh/9dVX3b333us++OADN2zYMPMgZQIDkfBNyvv222+7PfbYw8qJYQiUA4HBNagPZdpxxx0Tt0Ou8syYMcPqd8ghh7j33nvPxMv5559vxqoHA5VyYLgiuAg7o8yhUPj777/d5ZdfbklL3n//fbfKKqvY7+bOnetefPFFEyuIVYRfLs4991zbd4UQW3fddU1MeNG1YMEC8zI9+eSTJsgJ30OIT5s2LfX7s88+2+pIPajv/fffb4IjE998843VBSHyzjvvmMhCbAwdOjRxn0ehfxBo99xzT+oz2gqRiwjJBmXef//9rSyHHXaY9Uuc94q+JWzxwQcftHpecMEF7pxzznHjxo1LO472R0Dwf+pB34b9Gw1PZAwyJgiZjIpGP2Y7depkbceYoKwIYMqTZEwD4gpxfu2111r9brnlFhNbmUgyRgGRhtjkmoiv/v3725yJ4/TTTzeB/+ijj7pnn33WxCX3hmzgnabMjHHa8oUXXrC6h2SaC5kE5qmnnmrzinbivPvuu2+qDYUQQohiQuGaotzAIMfI8mGaN998s3kHbrvtNvNmscqOkXr00UenfnP99debwMMj4LnzzjttxZ6kHAgOYM/W4MGD7d942PgdhhrJKvBYIDgwXP3xGPxx4Kni5UF8jh8/3oznE0880Qxj6sJKPx6KNdZYw8qYlFzlwTOxyy67mNEMHINgGD58uIk0PHaUBZHIXilArNAmeHYOPPDAlIhBxPm60F5PP/20XRsBBYinDTbYIGeZEXhdu/7vuVBDhgwxD85nn33m1l9/ffPg8b3npJNOchMnTjRhgzfujz/+MGFCn/Tq1cuOWWuttcxrkgnKTF04nvHBNb799ltbAEA0+ZDTbH2eCTxs7O9DSMDjjz9uAjW6YBCF9uzXr19qLCAkr7vuOitnFLyFtI8Hjx4inLYIr4MHlvIi7KkfbUvZw7EfhififcIzGBeiiWhmfxyCEE8e4IlLOqYZG5SRuu26664550iuMepBWCLugP5jbyHC1nvyQxCijEcWPjg3INpy7fWLJmVhMeC4445L65/oXMgEQj6E+wxtT73wtEfB88nLw6KVEEIIUVOQJ0+UG3jswn14rOhjqCPwPNEsingkMArxKPgXRjGEoVTRxByEenkPFd4nDEUvqHKBsYloQfwQusU1EWTe64GIQNhhBOOxQmDhKUhKrvJwrY4dO6Z9xnvEHeGAfF+vXj239dZbp74nvAzDOfQw0dZhu/jf4XXz0JZJMouG56FtwbcvZUI00L8IDNoLkefbi+tiDHvDPRccv+2225rAC+tPvxCSmKlMvlzZvJKID4Tp66+/bu/xOiG8ciXxoCzR99n2od1www3WxggE2oIQxdBjBojk0JOcq+xJxhQLDV7g5Tum+T3lwRuYhFxjNFMf0Z+I1Lh6Mp/ZqxuOa+qTSRBGF00YWyw2sOjCnCSEOJyT0bmQCcqOh5p5veyyy5pghGjfeS677DLb1+dfLEwIIYQQNQWJPJEVjKHffvut1OeEWUYTGxSSEQ/jlLAyjNDwhUEWhkjiQQnBoPRhVvkmVcEYxsuB95D08FwPAYMBChiShJAR2oZxjncJD0HSTKKVleSF64RCqSyE7evP6dsX7w2eOjw1CHLaq0uXLqn2qqj6ZuvzTBCix1jCm0fIL17NXKGa+TJmzBgbP3gNCTekLfr06ZNqi0LLnotcbZxrTFeXPsoX9nPiUUfAsUeQMFJENoRtnmQuMDZ+/vlniywgBNjvZ4z2XRiCzL3PvwiDFkIIIWoKEnkiK6yyZ9ozw2e5PGf8lv08YcgT4WYhm2++ue2hYVWd8LPwlVQ0YgDiASIkLQmEQeL1YT8OhjDeB4zJEDxihLWxF+zdd9+179kLVB7lwdtCGaJloj3xtvA9++G8EQp4LvCMEvIaB147foch7OE3ZX3MBWUjqcfhhx9uYhdPSFg3QikxsglHTAL18/sMw2sgrsuapp+wy7Fjx5p3jZDRqDcqE97zF76PC3H1IbSEKOJZY5xWRvIOxhTCDZFSyJjmM8QX++GSkGuMFgL9gSgMxzUJhrLNW8Yy5WbvH8/p4/qE9uaLnz/nnXeeeQWpH9fOBiG0LHKFLyGEEKKmIJEnskIiBYwwEpEgdjCU2K+Dl+u0007L+luegYaBRqIOwr8I8SPjIPhVd7IOYrgSRoUAxGDmOLwjYVhYNghBw+vHnhv2HM2ePdu8OCRMyQSihGySGM2Ei/pyekgaQ6IHvv/yyy8t6yHf5worS1oe2g1BRAgkbcu+JPZv+X1vlA9Rxf6tV155xcqIwCJcjc/joHwk3CCrJ4Y0BjKip6xeHMpDPciUSj9yfjxlHsJx8fKRDIO2og8RSj5zYxQEEl4R9vZ99NFHloSDvXckxUjyCIhs4GHEGGffFmMoCSRRYX8WfUE52NPIPra4tiBxB2OU49mzFl24qAiYHwg3skUitr744gvzbPksqLnGNIso7JfEs8m+TsYkSU+iCWM8ucZoIRBCigeUPZMsmJDEB2Garc8R0ey3Y48kdSaxDnt984U9koQ8I/4J6eX6jDchhBCiWJHIE1nBa0N6eoxxPFvsp8EwxDBGUGQDY5vkFxiePEaBDI6EPoLfp8fjFjBaEXS77767eRxItMC+onwMfgxeko1gDOPtQnDEiUREKkYfHhlCuBAGeBQ9XBuDmayfrPhjVCJq2Wfl93rlCg3LVh6uRRsS+kfCB9qEzJFhQgtCDtn3Ragae8Twej311FOlwuOi8DvaFKG53377mcDOlGkwH/B+UGbaiUcbeLERgthBGFAX2owH0MftzUKsUhfEFJ5Bkmhg/HOdssKYoR1pa7JJJoFEKvQF3jJEKn0d5zFF4NKu1I+5gIfIJx6pSNhzRngofUmyE+ZJmLE115gGspjyKBDKi9eXRQQyTmYiyRgtBEJ/eaQFZeR+QnKecA9pFMYHdSNzJuVgfyx75QoZF9SFhQ/OM3DgQCuLEEIIUazUKQljpoSoYDDS8LCwx6WmPqAcbw9hb3hCRPUDwUgmSjJL5gKxzl62qGgVIgrZNS0By4Bxrm7DxmqgImfOsP9lGxZCiOr69whbOttWAj1CQVQoeEbwBuK9IYyMsD4yHtZUgQeEXhK6JqoX3OzYA8rjBpIIPCGEEEKIYkUiT1Qo33//vYV68X8yVfJMsksuuaRGt3r4EHBRfWC/In1D+Gfcs/SEEEIIIWoDCtcUQgghcqBwzdqFwjWFENUVhWsKIYQQ5cysIf/L4CqEEEJUZ5RdUwghhBBCCCGKCIk8IYQQQgghhCgiJPKEEEIIIYQQooiQyBNCCCGEEEKIIkIiTwghhBBCCCGKCIk8IYQQQgghhCgiJPKEEEIIIYQQooiQyBNCCCGEEEKIIkIiTwghhBBCCCGKCIk8IYQQQgghhCgiJPKEEEIIIYQQooiQyBNCCCGEEEKIIkIiTwghhBBCCCGKCIk8IYQQQgghhCgiJPKEEEIIIYQQooiQyBNCCCGEEEKIIkIiTwghhBBCCCGKiHpVXQAhhBCiptBu8ERXt2Hjqi6GqGDmDOuqNhZC1GjkyRNCCCGEEEKIIkIiTwghhBBCCCGKCIk8IbJQUlLirrrqKjd9+nS1kxBCCCGEqBFI5NUgJk+e7OrUqeN+/fXXvH7HbyZMmOBqCqNHj3bNmjWrtOtdeOGFbtNNN8343WWXXeaeeeYZt8kmm5T7dXv37u169Ojhip3qWs985kV47Jw5c+z9zJkzE8/V6JjONubKs92SlLUmUqz1EkIIIcqLWivyvv/+e3fSSSe5tm3buoYNG7rWrVu7bt26uUmTJpXrdTp37uwGDBhQrucU5cugQYMy9vtLL73kHnroIXvVr1+/3Jt95MiRZvxXN5IIkGKo53fffef23HPPcj8WtttuO/vNcsstl9eYE8nELvdr2rddu3ZqMiGEECIDtTK7JqvAHTt2tJX14cOHu4033tgtXLjQTZw40Z1wwgnuo48+qvSQwMWLF7t69YqnO6gPK+1161b/dYSmTZvaK8qOO+7o3nrrrQq7bpwAKLYxUF3r2aJFiwo5Fho0aJD1N3FjrjbBPbfQxZOllloq7z4RQgghahPV3wKvAI4//ngzPqdNm+b2339/t+6667qNNtrInXrqqe71119PHffVV1+57t27mzG27LLLuoMOOsj98MMPpTwe99xzj2vTpo0Zs4cccoj7448/UivQU6ZMMU8G1+P1f+2dCbxV0/v/V5MGDSpKKUlolqQSEYVUyJwUIWOkSJKkSLMUSRJCMhQVIg2ENEtIUqJJhgYpRUXt/+u9vv91fvvse6Z7u9W9+37er9d51dlnn73XeO7zWc+zno3AdKFcU6dONXXq1LGexM8//9zs3r3b3H333aZUqVKmQIECpmHDhmbRokXpqtsPP/xgxQnfr1atmpkxY0aac9avX2/rgsgtUaKErSPliocr7/vvv29OPvlke+3TTz/dfPvtt5FzXDjau+++a+9LnWi/rVu3muuvv94UL17cFCpUyHpDKKMfvnvsscfazy+77DKzZcuWpCv5eEfxkjr27dtnBg0aZE444QR7b67Xt2/fyOc///yzad26ta3v4Ycfbk477TSzYMGCmJ4rrvXoo4+acuXK2WvxGSGbwVCxiRMnmnPPPdeWm3DOefPmJe2fRPWiPvT//fffb8uJEUvZHNdee61p1apVGkP5yCOPNK+88kqk7ISYVqxY0RQsWNCWC09ksC/xItEGlB2v04oVKyJ98cgjj5ivv/46MmadF469iSyI0H54UphHO3bsSDoGgvVM7zinL2J5bOiXnj17pjlOG9B3I0eOjDq+ZMkSu+iwdu3aNCGYe/bsMXfddZcpU6aMLVOFChVsOyYK7WQxiLbjfMrHXE81tDo45hDE/P7QfiVLlrRjgMUfP4xB2sqdc9FFF5kff/wx6hx+02rXrm3LRP9S52Qkm6OuX6n/iSeeaK/dtGlT+zvi55133jGnnnqq/ZwICcbRf//9F9WG9Mkll1xixxDzk3q3b98+Ml4rV65sfy/97fTyyy/ba7vxSNv6wzVT7e9k41cIIYQIEzlO5P3xxx/WWMJjxx/7IG7fDIYD4ofzMd4QSz/99FMaIxsjC+NnypQp9sW5AwYMsJ9hrDRo0MDccsstNrSIF8aF44EHHrDnLl++3IonDLu3337bGjV4kBAsGFOUIRUo8+WXX269CAiYZ5991nTr1i2NKOCaRYoUMbNnzzZz5syxIvbCCy+0hm4iunbtaoYMGWIN8qOOOsqGt3I9x99//20GDhxonn/+ebNs2TJrxGPgk7QEwx8RhOHavHnzyPcoJ0YeBjYGG6LpscceM+mle/futi0x+r/77jvz2muvmdKlS9vPMOQaNWpkNmzYYMuBgKGtaa9Y0G/U8/HHHzfffPONbS8M06A47dGjhw27o9wsFCAi/UZtRqDvGZe0C6IVgeOEeps2bcx7770XZZjifabdEceAMEHw0ff0wT333GPatm0bJUBc2akjfYMH+aabbrLHGd9dunSxix5uzLoxj8H81FNP2etSzo8//ti2o59YYyBIesc5ZWOO+IUgBjx9c+ONN6Y5n3LSF4wBP+PGjbMefARcEOrF2Bg/frwVvJzLwk2y+UBbURbmOfMhuECRKvQFYurFF1+0Cz60xaRJk6LO2blzpxWC9BkinXrS724cMy4QfgjsxYsXW4HE+ExGsjnq+hVRxtjiNwPxyoKWg98ShGKnTp3s/Bs1apStj3+hBSgTZV66dKntVyfQJkyYYL/38MMPmwcffND2A1B+FqT4fXLjEWGdkf5OZfz6YTFi+/btUS8hhBAiuxCe+MAUWbVqlTViqlSpkvA8jCgMkdWrV0eEGQYOxi/GZt26de0xjBSMGUQTXHfddfa7GDd49hBcrI7HCi3CgD///PMjBhwr0VzL7f0ZPXq0NfBfeOEFa1AmY+bMmda7gOFftmxZe6xfv35Re4nefPNNW2aMcFbCYcyYMVbcskJ+wQUXxL1+r169IuXFSMI4wxDFCAOMwmeeeSaSpARRhOGIUegMMwwv2hNhfNVVV1lBhQHnjC3E0ty5c6M8Z8nAc8p1nn76adOuXTt7rFKlStbrARh/mzZtsv2GhwwQFvFA3CGOnRGLaJk1a5YZNmyYGTFiROQ8DNAWLf73wFy8FowNxleysZUIxD7tDHhNqBPjiXZHCCEAaXPGmasbApTxh1FKfzMOEB2ARwXRgNGN0HUwPt17Fhuox65du6w3BdGP8AuOWf/eUgQQYvz222+3fe4IjoEgGRnnjDPqzjh1847/U37qFwsEMcIJTyJeXcb8G2+8YR566KGY53Me7c2YYV7EEoJBWJggEgCoE2OWOiQSDvFgbLFQwSININKZx37cvRwIQhZbEEd4EhkL1JMy4E1jPOLBvuOOO+LeN5U56vqVsVi/fv3I/K9atar1HNarV8+Of8aRm3/0S58+fWxbuPHsvNFBYc53HXj0EJqIPH5XGIuMScZ2ovDMVPo7lfHrhwUTf9mEEEKI7ESO8+QFQ6DigecAQ8fveWOFHDHEZ35jwQk8INxr48aNKd2DcCq/RxBDipVnB/tVMKD890ulzE7ggTP2HXixECKU2e0LQvhg4AdDv4L4r8V3CK3ylw1Bi0jxlwex4AxDIMzM/z3+9X8eq8yp1BsjsEmTJjE/x9NGCJsTeIlgtf6XX36J6gfgfbAf/HWl3yHVvo+H/5ruuu6atCWGL0a4E0yEsWHgAv2KxwVB6PqWF4sTwb7NSNkRj7TxMcccY8cPQhPPFfeMNwaCZHSc4w1//fXX7TjF44ygcd7HWBAKiQhx3h08mdTPiZZY3izGCWOTUNLp06ebZPjHKX3DfE51rvrZtm2b9VD554G7XlCQ4bFCQBE+7jyNCBtwEQEIvFhljEUqc9SVxwlsYCHD/1vI7wqLVv5x5yIY/OMjWCdg4YSwdQQr33vuuecidUqVVPo7lfHrB9FN37hXMDxVCCGEyMrkOE8eq/Ws1GdWcpVg4gCuHS8MMEiscNEDDSFdGFROKPjByNofWHF33sHMhDCroDj3h5Jx32TlOhD4+97VO9W+T+Wa7rr+ayLo8GBhwOL9om54QsGFcbJ3EkPWD/vj9qfs7IEiFBCvEF5ABDMeQkJtEV14qw/kGCAUkjrgxURI0v9XXnllwu/QVhj9eJj4l3ZCwMSCvWR47dknixhATJ933nlR+xkPNbQBHkY8nyzk0F948JKFWR8MGHt4vZwn0o9fdAZ/8/C24RHHC4cgRXyRDMvtl00Pifo71fHrh/EWnDdCCCFEdiHHefL4407oF6vHeEKCuEQJrAqzcutfvSUsis/x6KUKBinJBZJBeCHnEjblwJAlxDDV+7kys3ru8CeSccYsHgH2ShGy6H8ly4LovxbJGlauXGnvmag87FHzG2ysnLPnydWJc4IGXbDMiE9/ncD/fCyEO+IiXkp6vBucn8reRjwkGND+fgDep6ffDxSE1OGtJewWoY6nwgk2f7KTYN/6PdIZGbPs8UJUYIyTdIewWjye6SWj4xxPEqGAhGnyIpQ2mXgnNJDkQJQdseY8non6nv2HiCjal32DicaMf5wyzrlPovkQD+Yd3lT/PHDXC84bwg/xRnEf5qAfjrFPEW9nrDJmdI668rBvz8Hn/Ba6+vK7wrHguOOVKMOuCxMlCQreds4Pep1T/Q1N1N+ZNX6FEEKI7EKOE3mAwMNoIEQMQw7RQ9gRm/JdeBOr+GRiw1AgOQR7T0gsgBclVshRPAipwoBiJXnz5s1xvSWscLPKzJ4k9vYgKAl3IpSI1eZUoMwYLxjDhE+RDIEEG36oD9kYSSrD53gv2ItHiBr7dxJBOBZCCkOK8Dauk+hhzYgv7kM9WDWnTCQBwcvEceC+1Jd9cPQD+36C+/EaN25sDUzCDjmHPT7+zJ54CthDx/4fF5qIccveJCDEjf08lBWjkgQ69Hu8bJj0AfvwMPQxXPEMIBJJKpEVwJhlzxaePL8hixcErwjJVtgzRTswdocPH27fp2fMMi6oM2OWUFiMb8QY16L9yChLGdLL/ozzm2++2SbL4HuJQjX99UBAcF3mO3sX40HmRcJB8fCzeEEiEMaM/wHmsX5H8CzyHRI5IbpSKVcsGFskDmIfHNdD9Pgzc5L5Eq8UoYyE5dIOJGEJjgu8qLQn7frBBx/YeZWIVOYosJDAc0X5LUMwMf8RS/yGAglTmHt480hswu9poj2Q/vszt9l/SLuTOCmYaZV+RLwyFxmPfi9+qv2dWeNXCCGEyC7kSJHHnhaMXzI5kh2PkCf2MSFgXBpujCX2O2Fc8UgCBBTfw/BPDxjdPNOJVXE8Uon2mmDkkVyBvSKsjGPMYfxQhlRgxRyj859//rHGF0ZxMLsdYUk85JvkBIRWsRKPUcTqP56MRFA+jFHCPXmYPJkeWWVPBF4XzidUCgFN2CXGp/M+YSjiOSFxCsk62AsVNAzxvGL8IeLYF0SiFQS3Hz6nLzE2qRMeGbfHjDJyXbyXZA1EvFMX+iUWCE8MaK7HuYgKklNgkKYH/+MHMhOEHUY8hnhw7yDJLmgLkkbQDoSsEb5JQotUYQzyPeYHYxbxQ98ghBC/zBe8iP5HDKSHjI5z2h8jnv1gwX2cidoK4UJGx0SePwQy2UxZwGGMsSjDOE3khaIevGgbBBJjhIWPjMBYoz1YoHFhiy5jKlAORBMCi/ZHyBPW6If9bMxJEkbhFWOBh/5KRrI56n43WEhBSDLmuJf/t5A5SnZh5hntx7weOnRo0gQ2t912m/0dYr7Sp3gREbh+EKDsEaRvGI9BL3sq/Z2Z41cIIYTIDuTyUs1EInIsePow+PFUJPJsiP8DTxheVcRYesWhiA0/VbQlIiDoxRIHDhYqyEwZ75l/OQWSMhFaW77zeJM7f9o9fCJcrBnwv8zJQgiRVf8ekRQskYMmxyVeEeJggCfk1ltvlcDLJHgEBp4sPMixno0nhBBCCCH+D4k8IQ4A7NESmQehtoRCsict1fBlIYQQQoicisI1hRBCiCQoXDNnoXBNIURWReGaQgghRCbz7SNNkyapEkIIIQ41OTK7phBCCCGEEEKEFYk8IYQQQgghhAgREnlCCCGEEEIIESIk8oQQQgghhBAiREjkCSGEEEIIIUSIkMgTQgghhBBCiBAhkSeEEEIIIYQQIUIiTwghhBBCCCFChESeEEIIIYQQQoQIiTwhhBBCCCGECBESeUIIIYQQQggRIiTyhBBCCCGEECJESOQJIYQQQgghRIiQyBNCCCGEEEKIECGRJ4QQQgghhBAhQiJPCCGEEEIIIUKERJ4QQgghhBBChIi8h7oAQgghRHahRq9pJnf+QiansGZAi0NdBCGEEBlAnjwhhBBCCCGECBESeUIIIYQQQggRIiTyRLbhiy++MEOHDjX79u071EURIt3MnDnTPP/882o5IYQQQhxwJPJyKL179zannHKKyWrkypXLTJ48Oc3xTZs2mauuusrUqFHD5M6tYZuTiDcmshpr1qyxZf3qq6/SfLZy5Upzww03mHr16pmw89JLL5kjjjjigN8nu4wLIYQQ4lAgazkbgZGIYcMrX758pnTp0ub88883L774Ymi8W7/++qtp1qxZ1DHqdt1115levXrZ+uZ0wXzccceZYcOGmZxCrDGRFduwfPnytqwsRPj5559/zLXXXmvGjBljTj75ZBN2WrVqZUXtgZ5fB2JcCCGEEGFB2TWzGRdeeKE1Fvfu3Wt+//138+GHH5pOnTqZt956y7z77rsmb97s3aVHH310mmN47qhndufff/+14jyrsGfPHnPYYYeZrIorX6wxkRXJkydPzLIWLFjQhhrnlLFHfXkdaLLLuBBCCCEOBfLkZTPy589vjZtjjjnGnHrqqebBBx8077zzjpk6daoNk3L8+eef5uabbzZHHXWUKVq0qGncuLH5+uuvE16b/UJVq1Y1BQoUMFWqVDHPPPNM1Odz5861K+p8ftppp9lQKX94GsKzffv2pmLFitbIq1y5snnyySfT3AfPY/Xq1W1dypQpY+666664IVhLly61Zed6JUuWNLfeeqvZsWNHlHfz0ksvNY8//ri9Fufceeed1qhND+vXrzdXX321DTMrUaKEadmypQ2/c3zyySc21O7www+355x55plm7dq1ts0feeQR27bOy+r6gf+PHDnSXHLJJfZ7ffv2jRnK5trRz3vvvWfq1q1r2/rII480l112mT1+zjnn2Pvec889kfvF83bgqcJjFWwrylG2bFnbPzB27Fjbn0WKFLFjC6/Txo0b47bVo48+msZbBdy/Z8+ecb/36aef2jZ0/f7AAw+Y//77L/I5dWMsdO7c2da5adOmMcdEsr5KNibiteGWLVtM69at7dwqVKiQqVmzpnn99dfTeJUHDRpkTjjhBFuPY4891rZnvHDNVOp89913m/vvv9/WhfanLxNBGeiDcuXK2evS7v5FEFeON9980zRq1MiOoXHjxtn7ci/ajTbp1q2badeunW0rB9dp2LBh5JyLLrrI/Pjjj2muPXHiRHPuuefadqpVq5aZN29e5JzgGGcMunb2vxyU46STTrLXOv744+0Ycn2VbH65cXHGGWfY6wRDvBG2n332WYbGuRBCCJGdkcgLAYggDC0MLwf71zBgEH+LFy+2grBJkybmjz/+iHkNjMCHH37YGqzLly83/fr1s8bWyy+/bD/fvn27ufjii63h++WXX5o+ffqkMaowPjE8J0yYYL777jt7PUTo+PHjI+cgejC4EWsIOLyPGMyx2LlzpzX0ixcvbhYtWmSvS/IKvyiEWbNmWUOUfykvRqBf8CYDg5L7YPzNnj3bzJkzxxQuXNh6TfEmYRxjCGMwf/PNN9agpfwYmYSmdenSxYpWwsd4ccyBwY5Ao6433XRTSuV5//337XeaN29ulixZYj766KPIXi76mDbGyHf3Sw9ca8WKFWbGjBlmypQpkfrTnxjSGM0Y8gileFAPxgh94qCctM2NN94Y8zsbNmyw9UG4ch/GwQsvvGAee+yxqPPoP7x39MGzzz6b7r5KZUzEa8Ndu3aZOnXq2Pb/9ttvbR8TJrxw4cLIdbt3724GDBhg5wZj/LXXXrNh0/tbZxYBFixYYAUk5aJ/4sHCyZAhQ6yIpc1pDxYSfvjhh6jzEJR4+ekrzhk4cKCd50QC0G7M6eCeNubcvffeaz2PjBW86IzFYDh4jx49zH333WcFLQINcewXr34YJ66df/75Z3P66aebs846K/I5fUnf0J7UbfTo0TbBEiSbX442bdqYN954w3ieFzmGyGUxw90rveN89+7dto38LyGEECK7kL1j+0QEPG8YfPD5559bwxSRx0o/YBBi2BDWifEahP1uGI6XX365fY83DqNr1KhRdrUfYxZRgwGGZ6BatWrWiL3lllsi12DVnFV3B9dAECHy8LwABi5GG8anAyM4FtwTw/uVV16xRjA8/fTTVmxisDrjGhHIccLlaIcWLVpYA9VftkRgDGLE4sl0HgYMYbwRePBY/d+2bZv1alSqVMl+jsfTgcggTDZW+BjegnjCJx4I7WuuuSaqLRHxgLeHejpvRHqhHamnP0zTLz7xpDz11FO2T/CYUrcgCCREA23k+o7/I4L5fizwCrNnjX6ijemnX375xS4UsBjgkumceOKJVuhktK8uuOCCpGMiXhviwUO4ODp27GimTZtmxy8i+6+//rIihOsyJ4DxgOdrf+rMPj3mn6s/51PWePtPmctcgzECzAXELJ7bESNGRM7DI+rmMwwfPtyKVOcV5j4ffPBB1LWvuOKKNF53ogH4LfB7b2kn2hQYp4iwVatW2ToG4fsO5j1Czb9A8NBDD0V5/bg2gg3vJh78RPPLwe8L9eW3z4k6fj8Qn26cpHec9+/fP2oOCiGEENkJefJCAivYzphhpRrDhXArjBf3Wr16dVTolX/1nuOEWvrPR5C58/H+YIwi8ByxMgViZOINwbDjGs8995xZt26d/QzRiZGLRzEV8EAgbpzAA8IkMfIpjwMDE6PdQVhcesKwaC8MVIx+V3eEAAKT+vN/VvwRNghMDP1UPWgIxPSCdyTVNkoveGKD+/Dw9FIvQg9pA8QauH6LBWKJUEbaCA8aBnUiTyV92aBBg6gwPfqScYp3x8HY2Z++2p8xQbgxnh7aiGtybUSeawfqgHcnPeM3lToHk7EkKiveJOYQ1/HDe+4Xb+yxSMEeXv+cpX2C7Y03EGGECCLM24X7BseCv8yUF5K1L78FeDLx3vuFH8Kd8iPiaHNEX6KxFwuuh8DHUwn81rHAhIcvo+McQUy7uRdhwkIIIUR2QZ68kICBh+cMMCIxvPBsBImV2tztccNLV79+/ajP/IZyMlh9ZxUejyDGLYbU4MGDbRgaHKhkDMGEEhjV6ck2Sv0xdp2B6McZo3iL2M/EniWMUgxRQuoIPUuEX6AC3ht/SBkE9w9mpJ1SuW6s8riQWF7Un/pi9PLeH/4YBGMZL/GkSZOsaOReV155ZbrLnax8GemrjI4JxioCHo8YQo+y4B1y7ZBVx29G2zJev1aoUMH+FhDqSDnw4AXHgr/MTsQmKjOeRjyjLAz4BaITYnjMGHPFihWzvyP8hqQXrsMcxWPJogN9yCuj45zx7SIhhBBCiOyGRF4I+Pjjj+2eLxJJAPvvfvvtNxvi5E+8EQ/CHjHofvrpp6iVbz8k6Xj11VetJ8MZPv6QK2CfDwkQOnToEDnm964g+igPoWgkbUgGIZHs1cFAcwYr90DQuKQhmQHthXArVaqU9V7Eo3bt2vbFCj8iFkMSkYfIwQuUChiXhP356xR8rhpGMG0UL8wz1v24Ln3u9+jGel5bkO+//94mHGGfGaGFkEomSMYWIYuIX8pD6GAiEURfvv3221Hloy8ZE4R/ZnZfJSNWG1Iekri0bds2Ilp4FAChyS6UkjrSNyQ1SkZm1dkPdWauch3niXLXTfQMPsQT85w5e/bZZ9tj1J/9tS5hD+MADzkCz4U8Ev64v+B5ZQGA/bn+8FGXzAlRyR4/B0lx/KQ6v+g7QtFZiGFuXn/99fs9zoUQQojsisI1sxmILIx59sNhoJEgBeOG/WLOqDnvvPOsCCFZyPTp022CAYwpDKl4hg0r6exBYZ8Khi2iEQP+iSeeiOwtw+jFiMJrSBgbe4PAGbAYwVyfz7gGySmCQpBEJKzScx9Cw6gDK++xQHASHoqYIBGG8waQDCNesouMwH3I5kg7ksyDUC+8oHgFCKvjPcIOrwMGKG1K2d2+PIQr5yCqNm/ebPsoHnhKySKIwYsAxhgNJolhfxYeD/6lrekL9l05uB8ZAxkD3M9laSSbIPvZuC5hsyTdSQahaxjR9AEin1A6QhZTAaHDAgNGdbKkMgh/wt3oPwxuMsJSP5J8pOfh9sn6KlVitSHjF+8sc4V2v+2222yIo4OxyF449oqxT5R2nj9/vg1BPJB1DtK1a1c7HhC7iDISrDD2/PtcY0E5mOOUg+9x/tatWyPzl32MhHgTVokwo28p6/7AMwLxDrI4wm8Hv13u5docjxreO9qT3wW8w35SnV8smvCbx+8O/UfYaWaMcyGEECI7IpGXzcCgJhQTw4eMgggfDCMMNxdaidFGQgVW7PEGkf0OTwsCJZ44wmAnmQXCjhAnvASIDxcCigeBtP4YWqz8IxhJHgFunx5GMSv1ZL9DzLBy7vfqAYKNcDiSUrBvCnEazAroQAwhGMkISoIEvAHshyJhRHpAWCbyaHIfDH4MQcqPeGN/Ivu8qDefY6STlIK2xFglQyj1BY7TF3gn8agF0+77Ya8XHlH6x6XoD6bMR7CRSRRDlLYme6o/wyPZFxHuJP1wIYqUmTZF3LGPkfP9SUTiwffpZ+6HxwpPhxPvycBAx3NLso1gmG8QkppQZ8pF+W6//Xbbxv6kG6mQrK9SJVYbUhY8hYTw0QfsEfM/XgAQECQOYuxzb8Z6vL1omVXnIAhaxBflYAzxm8BYoT8SgUBF+LAYxCIQ+9+oq5u/CE/EFnvXCNEkMoAQ1v0BkczcwfuJB5LfLvcCsoJyHzLmMtYR2MHHcKRnfrEIwL5NPJGMkcwY50IIIUR2JJcX3MgjRIqwtwURSVKCg/Hw44yCsPQ/X0tkDvx0ICwQ8vvr8REHHzzzCFUyU8qrlRyS3hD2Wr7zeJM7fyGTU1gz4H9ZVIUQQmStv0fY34kWuLUnT6QMIWpk3cNDwWo5ngEMxKws8BAihPNlxt4i8X8QGorXh7C79D4iQhwaXKgxXnpCHvGIEwZJKLYQQgghwoVEnkgZDHrC1PiXcCseuM4z3bIyePCCiRzE/kPiE/bGsX+LvVwi60M4Jt5swnhZ/CAkc+bMmVHPfBRCCCFEOFC4phBCCJFJ4TFCCCFEVvh7pMQrQgghhBBCCBEiJPKEEEIIIYQQIkRI5AkhhBBCCCFEiJDIE0IIIYQQQogQIZEnhBBCCCGEECFCIk8IIYQQQgghQoREnhBCCCGEEEKECIk8IYQQQgghhAgREnlCCCGEEEIIESIk8oQQQgghhBAiREjkCSGEEEIIIUSIkMgTQgghhBBCiBAhkSeEEEIIIYQQIUIiTwghhBBCCCFChESeEEIIIYQQQoQIiTwhhBBCCCGECBESeUIIIYQQQggRIiTyhBBCCCGEECJE5D3UBRBCCCGyCzV6TTO58xcyOYU1A1oc6iIIIYTIAPLkCSGEEEIIIUSIkMgTQgghhBBCiBAhkSeyDJ7nmSeeeMJ88cUXB+V+kydPNq+//vpBuZcQQgghhBAHC4k8cVDp3bu3OeWUU2J+1r9/f/Phhx+aWrVqHfByzJ8/39x9992mQYMGmXrdG264wVx66aWZek2ROi+99JI54ogj1GQ5jFy5ctlFGyGEEEL8D4m8Q0BGhEBYjJj77rvPfPTRR2mOf/bZZ+att96yr3z58u33fRK115YtW0z79u3t58cdd5zJTJ588kkrNMLAJ598Ytvxzz//PNRFyXFIrAohhBBif1B2zRzGv//+m0ZE7dmzxxx22GEH5f6FCxe2ryBnn322+fLLLw9KGUqWLGmWLVt2QK5drFgxkx3CYvfu3Wvy5s2c6X8wx4/IecT6zRJCCCFEYuTJywKcc845NnTw/vvvNyVKlDBHH320DWt0OG/TZZddZj0rfu/TO++8Y0499VRToEABc/zxx5tHHnnE/Pfff5HPOX/kyJHmkksuMYcffrjp27dvJGTy+eefNxUrVrTfdfcZNmxYVNk4z18Wd71mzZqZggUL2nviffPz888/m9atW9u6cM/TTjvNLFiwIGa45r59+8yjjz5qypUrZ/Lnz28/I2TTsWbNGnvPiRMnmnPPPdcUKlTIhnPOmzcvbnvuT3vhtbrttttM6dKl7Tk1atQwU6ZMifKuTJs2zVStWtWK1QsvvND8+uuvcb201G/QoEHmhBNOsPU79thjbR84unXrZk466SRbL8rTs2dPa9QmYunSpaZx48a2/RGst956q9mxY0dSj9zUqVNNnTp1bDk+//xzWzZCZBkDXIt2dX1Ju9PeULx4cft96ubG61133WU6d+5sjjzySNO0aVN7nP2UNWvWtH1evnx506FDh6hyrV271lx88cX2epxTvXp188EHH0Q+//TTT029evVs+cqUKWMeeOCBqL6JBX1Cm9J+9Dde2iDJ+jyI60POO+qoo0zRokXN7bffbsWsI5W5wli6+eabI9egz77++uvI5/yfNi5SpIj9nL5hPyr9deONN5pt27bZduflrjt27Fg7n/gOvxPXXnut2bhxY8I22r17t/WgH3PMMbbd69evb+/hb8Nk4zremOI7tWvXtuOH+lEWxhnXoU6U7++//458j7ndsGFDez/G7kUXXWR+/PHHNPP9zTffNI0aNbJ9Nm7cOPvZiy++aMeMGx+MQT+bN2+2Y4CxcOKJJ5p333038hmLGnjv3VivXLmy9boLIYQQYUUiL4vw8ssvWwMMMYQoQPjMmDHDfrZo0SL775gxY6zh5d7Pnj3bXH/99aZTp07mu+++M6NGjbIGm19EAAYixg/i4KabbrLHVq1aZd5++20rnr766qt0lRUhcsUVV1gjtU2bNuaaa64xy5cvt59h1GOcbdiwwRpZnIN4RVDEAkNryJAh5vHHHzfffPONFQwI0h9++CHqvB49elhDlbIiihCR8Qz1jLYXZUS8zpkzx7z66qv2nAEDBpg8efJEro3BSlkxtgkxXbdunS1XPLp3726vQZtxvddee80KSAfGOmXgM9pi9OjRZujQoXGvt3PnTttGCCXqNWHCBDNz5sw0Bm8sEE2Uhb46+eSTrcB75ZVXzLPPPms9m/fcc49p27atFVuINMYHrFixwraj3yhmvOK9o634PuTOnds89dRT9lp8/vHHH9u+d9x5551WcNBujMWBAwdGvLqMl+bNm5u6devaMcNCwgsvvGAee+yxuPVhrmC4U3fGBYIpeH6qcyQIIcW0E2KG5DzME0Rferjqqqsiomfx4sVWaDZp0sT88ccf9nPmDosb9COf0z94rM444wwrIBFJtDsvN8ZYAOjTp49tI8KNEUVOfMeD9mFR5I033rBzjHIh4vxzLL3j2v/b8vTTT5u5c+ea9evXm6uvvtqWnXH+/vvvm+nTp5vhw4dHjd97773XilnamDHDb1Pw94G2oM/oA8Y744Hxw4IGY4ffFhZO/NA/3J86MpZoX9fWXJ+2Zr4wDh5++GHz4IMPmvHjx8etG2N1+/btUS8hhBAi2+CJg067du28li1bRt43atTIa9iwYdQ5devW9bp16xZ5T1dNmjQp6pwmTZp4/fr1izo2duxYr0yZMlHf69y5c9Q5vXr18vLly+dt3Lgx6niFChW8oUOHRh2rVauWPd9/vdtvvz3qnPr163t33HGH/f+oUaO8IkWKeFu2bIlZd67FNR1ly5b1+vbtm6buHTp0sP9fvXq1vefzzz8f+XzZsmX22PLly2PeI6PtNW3aNC937tzeihUrYl5zzJgx9rqrVq2KHBsxYoRXunTpmH27fft2L3/+/N7o0aO9VBk8eLBXp06duJ8/99xzXvHixb0dO3ZEjr3//vu23L/99lvM78yaNcuWe/LkyZFju3bt8goVKuTNnTs36tz27dt7rVu3jvre1q1bo85hvNauXTtpXSZMmOCVLFky8r5mzZpe7969Y5774IMPepUrV/b27dsX1baFCxf29u7dG/M7lLN58+ZRx1q1auUVK1YsXXMkCH1YokQJb+fOnZFjI0eOjCpLsrkye/Zsr2jRorad/VSqVMnOEWCevPTSS3HHmr8e8Vi0aJHto7/++ivm52vXrvXy5MnjbdiwIeo47dK9e/eUx3UQNzZmzpwZOda/f3977Mcff4wcu+2227ymTZvGvc6mTZvsd5YuXRo134cNGxZ1Hr8TPXr0iHsdvvPQQw9F3jM/ODZ16tS437nzzju9K664Iu7n9CXXCL7Kdx7vVeg2Jce8hBBCZC22bdtm/x7xbyK0Jy+LgGfFD+FIycKwWM3Hk+L3ShCWtGvXLrsyT9gSEN4VpEKFCjaMLCMEM1Ly3nkD+ZfwLUI1k8HK+C+//GLOPPPMqOO894e1BduHtgHap0qVKimXO1l7UXZW+/EUxoM2rVSpUkr9hBcCbwDem3gQlob3i5A1vKB4J/HgxINrElaJ19ffXngq8Lj5vYRB/OMATy51Pv/886POISSR/ksGoYVB8CjiHfz+++9t31IX/1gkJPmOO+6w3p3zzjvPeoNdv1IvxhGhev560SaE/xKSGast8AL54Rr+cN9U50gQ2tj/GdelLHirmDvJ4L6cT0iin3/++ScSnohHi3BOvGe0Bx42/9iKBR4/vGdcf+vWrREPGJ63atWqpTkfrxf1DY5pxqW/bOkZ1/HmJWPPhR37jy1cuDDyHu8hXjS8sIRX+stPaHSssUo5+J1INI+CZWF+MI/8dRgxYoQN+eRe9ANjPV6mX+eFp48cjGk83EIIIUR2QCIvixBMLICxGy/E0YERSYjS5ZdfnuYzt88O/IIg0TFCp/63KP5/JNsfFoT9Lge6fZwQSNY+6W2vVMoeq5+CbeZIdj1C6Agpo0yEpJG0hZA6wlcPBP4+d3vlCKljr5Yf9jyl51pA2CD7qxBxCCpEPvv+CKfEmMb4R9BQTxfGhyCkrh07djQHilTnSHpJNle4L0LJv/fN4R7xgFhjzxrtQUhnr169bP8HhWswVJcX+9RYpEGw8N6/X9AP5SDcGHHoDzsGfwKk9IzrRPMy2e8YezIRyYQlly1b1n6GuAuW3z++Uv1NSXRv2pXwU8Ybgp0w6cGDB0f2CseCeZDKXBBCCCGyIhJ52QQMGFbk/bDHB+9NcG9KRsFo9CdbYOV69erVMZ8xxz4n/3vn/WE1nYQu7IVJ5s1jpR1DD08L+/gcvCcBx8FuL8qO12jlypUJvXmpQvIHDFT2HiFwgrCPCYOX/Yb+5CSJIKEFe8ow+J0hTHshOkgmkSp4fTBgEQn+tvfjMmYG2zEWiAgMaoxoygKx9jvhCSGJCS88JRj7iDzqxR5AhIUT8dQLYxzvary2CBrpjMXMmCN4yvD2OIHBdRFFzpOTbK5w399++81mME30mA7GGS/2Q7LPlH2kiDzaPtjueEhJLMO+SlcO9rYlgnnJdfBonXXWWeZQQtnpC/rclYWFgGQwBmhD5pFLBpReGEvsdSQZkMOf8EUIIYQIG0q8kk1wRg6GI2FaQNgTiTPwVJDsgvA1VqwfeuihDN2D7HiEjpGsgjCvdu3apVn9B5IXEPaEGML7QDiWS/yBoUrWP7ITYlj99NNP1niPlw2za9euNgEHYYsYgCRcIGySpAsHu70QOzzKgTBCkt5gtONh8Yf/pQc8RWTPJPkI98WoRCyQUMSJQEQWZeAzwjYnTZqU8Jp4/rguffPtt9+aWbNmWZF03XXXJQzVjGU449lAXJAkhfvzCAuSZPAeEKAILrKLbtq0KWEGT0QUniy+T58zjlxCFgfZOMnGSLtyL8qOUAOMb0IhqQtihoyYjC3C5ZxoDEL4J31DwhDCAEkAEuyrjM4RPEt4IUnSQQZQysIYd2VJNlcIv8RjxDzAa4mnE1GPoEeYISC5Hp4+hD1zhQQsrj0Yv7Q3Y5iwRkJLCVlF/Lk2JvkISVgSgYBkzLAoQ/IY2p75ihcVD+LBhGRBhIg+99xzNlyYxDz+cMhE4PVkAYE5Ql+7sZoqzDXanfHH7xaJkFxCJiGEECKMSORlEzBwEB6s4DuvGWFaGOAYkWQlPP30021mxlT2DMUCzwpCh7C7Fi1aWAM11h4hDGYMZTxfGNBkH3T7gTBCKU+pUqVshjtS6gczVAYNdQy9Ll262HMx0jFeMcoORXshSPkMsUqdEGipeLLigTFJ3RAbGPCtWrWK7BMiiygiC2OfvUGIAM5PBGGPGKp4SinnlVdeafcqIXDSCwKB+2HwUzYyLmL4k2YeCOOkrxHeCMhEGTzZw8YjFBDshN8RTsh1/dCOZEh090KAPPPMM5F7IaYQIFwLTx8iK5EYo//wCpH1k+/Qr8HzMzpHaFPGIKKfPqOv/I9HSDZXEMfUh+/zOATqShZaBB1tyXzAs4X44jOyQpLZ1WXwxOtEG3BvvIZk3OVfvLgssjA2mVcI3GTgHeQ+jEO8vZQVgRNrn+OBBIHM7wZeX8YIY5+QyVRARJO1k/HCYxRo92AG3kTwWBRCdmlPHiFB2/u9ekIIIUTYyEX2lUNdCJF9wHjF2+R/FpwQYYJHEvCMOx5RIIQ/JJd9s+U7jze588dO2BNG1gxocaiLIIQQIsbfI56nmyhZnzx5QgghhBBCCBEiJPKEEEIIIYQQIkQoXFMIIYTIpPAYIYQQ4kCicE0hhBBCCCGEyIEoXFMIIYQQQgghQoREnhBCCCGEEEKECIk8IYQQQgghhAgREnlCCCGEEEIIESIk8oQQQgghhBAiREjkCSGEEEIIIUSIkMgTQgghhBBCiBAhkSeEEEIIIYQQIUIiTwghhBBCCCFChESeEEIIIYQQQoQIiTwhhBBCCCGECBESeUIIIYQQQggRIiTyhBBCCCGEECJESOQJIYQQQgghRIiQyBNCCCGEEEKIECGRJ4QQQgghhBAhIu+hLoAQQgiRXajRa5rJnb/QQb/vmgEtDvo9hRBCZF/kyRNCCCGEEEKIECGRJ4QQQgghhBAhQiJPCCGEEEIIIUKERJ4QSTjuuOPMsGHDDlg7vfTSS+aII44ITT8cqPr07t3bnHLKKSY7cMMNN5hLL73U5LSxLIQQQoisgUSeyLGsX7/e3HTTTaZs2bLmsMMOMxUqVDCdOnUyW7ZsOdRFy9a0atXKrFy50uRknnzySSt2hRBCCCEOBRJ5Ikfy008/mdNOO8388MMP5vXXXzerVq0yzz77rPnoo49MgwYNzB9//HGoi5htKViwoClVqpTJyRQrVixU3tn9wfM8899//x3qYgghhBA5Cok8kSO58847rfdu+vTpplGjRubYY481zZo1MzNnzjQbNmwwPXr0iDr/r7/+Mq1btzaHH364OeaYY8yIESOijFhCCblG/vz5rWfw7rvvjny+detWc/3115vixYubQoUK2fsgLhPxzjvvmFNPPdUUKFDAHH/88eaRRx6JGMrJ7rd7927TrVs3U758efv5CSecYF544YXI599++60tQ+HChU3p0qXNddddZzZv3hz5/JxzzrHXu//++02JEiXM0Ucfbe/n588//zS33Xab/T5lrFGjhpkyZUrMcM0ff/zRtGzZ0p7LPevWrWvbORkDBgyw3ylSpIhp37692bVrV5pznn/+eVO1alVbhipVqphnnnkm4TX37dtn+vfvbypWrGjFaK1atcxbb70Vdc4HH3xgTjrpJPv5ueeea+uTK1cuW+d4YaOEQBIKGS9ckza966677AsBeOSRR5qePXvavkx1nKxdu9ZcfPHF9nPGYfXq1W1Z47Fx40Z7PvWgvuPGjUtzDnW6+eabzVFHHWWKFi1qGjdubL7++uu411yzZo1tizfeeMOcccYZkb7/9NNPI+d88skn9pypU6eaOnXq2DH4+eef23HJuGIBgO81bNjQLFq0KOr6y5YtMxdddJEtC/1+1lln2fGTSn/v2bPHtm+ZMmXs53jm6WvHunXr7DhkDHL9q6++2vz+++9x6yqEEEJkZyTyRI4DL920adNMhw4drAHsB0HTpk0b8+abb0YZ4IMHD7aCYMmSJeaBBx6wYZ0zZsywn7399ttm6NChZtSoUdYonzx5sqlZs2aUwf/FF1+Yd99918ybN89et3nz5ubff/+NWb7Zs2dbY597fPfdd/a6CI2+ffumdD++i3fyqaeeMsuXL7fnYdg6ox5Dvnbt2rZMH374oTV0MXj9vPzyy1ZILFiwwAwaNMg8+uijkfoilBAgc+bMMa+++qotI4IsT548MeuzY8cOW1+8pLTfhRdeaMUHRnc8xo8fb8VUv379bDkx3IMCDtHy8MMP23ahnpyLcKLs8cDof+WVV6zXFkFxzz33mLZt20ZECiG8l19+uS3fV199ZQUQ/Z0ZUK68efOahQsX2nDOJ554woqWVMcJCxMIpc8++8wsXbrUDBw4MNKvseB61GfWrFlWyNJ+CD8/V111lT2GIFu8eLFdWGjSpElST3bXrl1Nly5dbH/i+aa9gmHOtBvjgr45+eST7aIBY5d2+PLLL+3iQ9OmTSP3YnHl7LPPtqLw448/tuUhnNotbiTrb8Y7bcfYWbFihT3fCW/GLAKPe9HXjGW8+YQWCyGEEKHEEyKHMX/+fNSbN2nSpJifP/HEE/bz33//3b6vUKGCd+GFF0ad06pVK69Zs2b2/0OGDPFOOukkb8+ePWmutXLlSnutOXPmRI5t3rzZK1iwoDd+/Hj7fsyYMV6xYsUinzdp0sTr169f1HXGjh3rlSlTJun9VqxYYe83Y8aMmHXr06ePd8EFF0QdW79+vf0O34VGjRp5DRs2jDqnbt26Xrdu3ez/p02b5uXOnTtyfpBgfWJRvXp1b/jw4XE/b9CggdehQ4eoY/Xr1/dq1aoVeV+pUiXvtddeS1M/vhuLXbt2eYUKFfLmzp0bdbx9+/Ze69at7f+7d+/uVatWLepz6k37bN261b7v1atXVDlg6NChdpw42rVr57Vs2TLynjatWrWqt2/fvqjrcizVcVKzZk2vd+/eXiq4cbBw4cLIseXLl9tjlBVmz57tFS1a1LaLH9p11KhRMa+7evVqe40BAwZEjv37779euXLlvIEDB9r3s2bNsudMnjw5cs6OHTu8fPnyeePGjYscY/yWLVvWGzRoUKTtK1asGHNcp9LfHTt29Bo3bhzVxo7p06d7efLk8datWxc5tmzZsjRt5Id22bZtW+Tl5kn5zuO9Ct2mHPSXEEIIAfxN4u8R/yZCnjyRY/F76pKBtyL4Hm+C84b8888/NqzylltuMZMmTYp4HzgH7039+vUj3y1ZsqSpXLly5PtBCJfDc4aXxr247q+//mr+/vvvhPfD+4RHjRDUeNfGs+O/NmFv4A+Lw/PiB0+a8wJxj3LlytmQxlTAk3fffffZMDvCOLkndU/kyeNzf5sF+2Dnzp22vIRx+uvy2GOPRdXDD/suab/zzz8/6jt49tx3kt13fzj99NNtGKP/unhi9+7dm9I4IdSR+p155pmmV69e5ptvvol7L3c9wiUd9LM/jJaxQN9wH397rF69Om4b+svu4D7sbw2OZ445uB4eScruyJcvn6lXr17ke4wrwjM5HiSV/sZzyTVoM9qKUGx/exC+zMtRrVo12x7x5iFeX0Jr3cv/XSGEECKrk/dQF0CIgw1hYhjbGHeXXXZZms85zr4n9imlAsYf4WHsMyMMjDBQwjv9+5TSA4Y3e/AIGwzCXqNE9wuGn8a6NqF1hPoFQcg5goY27UXIGyS7RxAEHuV8/PHHbdvz/SuvvNLuocoo1ANGjx6dRpQlChuF999/3+6r9EOIYKrkzp07zQJBvNDbzITQUcIbKT8CBhEyZMgQ07Fjxwxdj/agz9lDFyQzksYQ7pseEo2rVPqbUFMEKqGnzA1CkM8777w0ey5TpXv37ubee++NvN++fbuEnhBCiGyDPHkix4HnAm8Oe5TwiPn57bff7F4e9ur4vS7z58+POo/3eKb8BiriiX1BGM3sqWLfFOfgZWNvm4O9S4g0PAmxwFjlcwRR8IXASHQ/9uYhxuIJTK7NXjT2KgWvnapRjpfv559/TvkxCezdw8uCoKZ87HskgUciaDd/mwX7gIQsJJxhX1WwHiQZiQXtjZjDgxj8jvPScF/2zMW7LyD+GSd+oYcHKRmx6nPiiSdakZLqOKGct99+u5k4caLdE4foiQVeO67HvjYH13LJY9xYoB544oLtQWKYRPjbxN3HPx+CVKpUySY6Yiz4hTGJV1z9GFfsR40lmFPtbxKqMHdpF/bVsgeQfXiUjf2JvBzsJaU94s1DxgrX87+EEEKI7II8eSJH8vTTT9vsgHhGCPnCUET8kFACL49LcuLAOCUBCRkT8UpNmDDBelSApCiE3OFhICsiyUgQYWT3Q1CS8IGwShKgkDGQhBTcg+OxILkEGQbJnonHC2FHaB1ZMSlrsvu1a9fOJqxAAJIshqyMhFri2SB5BwYwmUJd9kzCGMmWSBKQeF4wP4SCkiDjiiuusMlDMLS///57K4pJqhIEIYMoQZRyDskynFcwHiSdQRgS8keIH8Kb/iFE1YG3k7A8Qum4L0lJSFxClkq/B8ZB2+NVJNkK9ye747Zt22zfYsDTbggovGOMAzxniJfg8+7IlLlp0yY7HugfktfgPUomAhCXlIuspCQeGT58uL2Xa6Nk46Rz58424Q1hstSRsNt4woqQRdqEe40cOdIKOb7v95bh5SLskjFNXbjuL7/8Ysc1gtwfbhmE7LKUmfuTBIjyMObiwQLCHXfcYduVMcfY5p6EzxKCCWTGpE2uueYa60WjXxGThDnosRsAACfhSURBVHRSn2T9zVjEM0lSIeYMc5QFBbyS1JUFBpIqkQkVYYoHnLGcqJ5CCCFEdkWePJEjwUDFQEQ0IH7wNNx66602ZT5eMQxRP3hNOB8DEqGFQYlABIxIhBNiBG8EoWLvvfeeFVwwZswYuzcK4YZRjQeI1Pex9h4B1+VxBITk8bgB9nJhSCPiUrkfRj3iAyMWjw7CgT1NgDcEUYNIvOCCC6zhi/HPNZ2XMBXwkFA2xCKeEAQj14wFbUX4K6IaoUf98CIlAm8MYpDr0nYIVUSCH0QYwpT2pR4Y7AiyeJ486NOnj70uoY4IFMQCosZ9B/FB3chYikAmCydZHP3wPbzACB3OwfOHeEwGWU/xHCNaENsIWcacI9k4oX35nis3oizRIyO4Hv1NuxD6y738zy9EcHN9BPuNN95or4fAoq3xnCWCrJm8qD+PRyCrZTLvH+ezMMAjO+h/FhfIcsvYAMYvWTUJzaTMtAXj3NU/WX8jjBGOiDbGJt5i6se4pq48loR7UV9EH3Mfb58QQggRRnKRfeVQF0IIIbIqhMMi/vEYZXSvGt4/nq2HFyk7g3BCVPHohOCzAsMOe/JsApbO403u/IUO+v3XDGhx0O8phBAi6/49IhopURSRPHlCCCGEEEIIESIk8oQQQgghhBAiRCjxihBCJAm13N+o9liPKciOkJVVEf5CCCFE1kciTwghhEiRbx9pqscpCCGEyPIoXFMIIYQQQgghQoREnhBCCCGEEEKECIk8IYQQQgghhAgREnlCCCGEEEIIESIk8oQQQgghhBAiREjkCSGEEEIIIUSIkMgTQgghhBBCiBAhkSeEEEIIIYQQIUIiTwghhBBCCCFChESeEEIIIYQQQoQIiTwhhBBCCCGECBESeUIIIYQQQggRIiTyhBBCCCGEECJESOQJIYQQQgghRIiQyBNCCCGEEEKIECGRJ4QQQgghhBAhQiJPCCGEEEIIIUJE3kNdACGEECK7UKPXNJM7f6GDft81A1oc9HsKIYTIvsiTJ4QQQgghhBAhQiJPCCGEEEIIIUKERJ4QQmQRVq1aZfr162f++eefQ10UIYQQQmRjJPKEEOaTTz4xuXLlMn/++ada4wC3y3HHHWeGDRuW5viuXbvMlVdeacqWLWsKFiyY6f3w0ksvmSOOOMJkh3ZOpay9e/c2p5xyykEqoRBCCJG9kMgTB4zffvvNdOzY0Rx//PEmf/78pnz58ubiiy82H330UabeR8Ze1iQri4pUOeOMM8yvv/5qihUrlmnXXLRokbn11lvTHGeuXHrppeaGG24wOZ1WrVqZlStXHupiCCGEENkWZdcUB4Q1a9aYM8880xr5gwcPNjVr1jT//vuvmTZtmrnzzjvN999/n+Va3vM8s3fvXpM3r6bFwWTPnj3msMMOM1kNxivlOvroozP1ukcddVTM46NHj87U+2Rn8GQeCG+mEEIIkVOQJ08cEDp06GDDrxYuXGiuuOIKc9JJJ5nq1aube++918yfPz9y3hNPPGEF4OGHH249fXxvx44dabxBkydPNieeeKIpUKCAadq0qVm/fn3k80ceecR8/fXX9n68OIbI5P9fffVV5FqEgnGM0DB/iNjUqVNNnTp1rLfx888/Nz/++KNp2bKlKV26tClcuLCpW7eumTlzZkrexBdffNEce+yx9nvUBdE4aNAgKxRKlSpl+vbtG/W9VOuPOK5ataq97oUXXmi9S45zzjnHdO7cOeq6QY/Q2LFjzWmnnWaKFCliy3LttdeajRs3ptyfN910k7nooovSiCDq9MILL6Q5n7a98cYbzbZt2yL9Qhu5cMU+ffqY66+/3hQtWjTi1erWrZsdJ4UKFbLe3549e9p7BNuYunANvGvXXHON+euvvyLnvPXWW7Y9EQglS5Y05513ntm5c2fkc/qHcUhflylTxtx1112RzyjjyJEjzSWXXGL7g76KF0YYbzw63nvvPTtu+PzII480l112WdxwzXXr1tnxRt/SHldffbX5/fff01XvWFBWxiLtyf23bNmS5px33nnHnHrqqbactDlz6b///ot7TcYUY4vzEKuU9/bbb7dC3bFv3z7Tv39/U7FiRdsPtWrVsv3i54MPPrB9zefnnnuuna/JvMADBgywc5Ix3L59exve6of7Pvroo6ZcuXK2f2mzDz/8MPI5ZaS/6XfqW6FCBVtOIYQQIoxI5IlM548//rDGFR47jOUgfuMtd+7c5qmnnjLLli0zL7/8svn444/N/fffH3X+33//bQ3uV155xcyZM8ca3Bi5LqyrS5cu1nBH+PDiWHp44IEHrAG5fPlyc/LJJ1uR1bx5cxtWumTJEiuqCDPFGE8E4hDBSN1ff/11K35atGhhfv75Z/Ppp5+agQMHmoceesgsWLAg3fV//PHHrZH/2Wef2XLcd9996aojYglhhRhGoGBUpycs8Oabb7b18ovLKVOm2LLFam/CHBEyiADXL/4yUx+Mf9oXMQcY7xj33333nXnyySetZ2vo0KFp2pjyc29etCt9B9yjdevWVpDSlwi0yy+/3HpoAQHHmERULl261Lz77rvmhBNOiLo+ggpBxOdcJxaJxiO8//779hqMIerHOKpXr17MayFMEHjMGeoyY8YM89NPP6Vp00T1jgVjDCGEqGGhAyH12GOPRZ0ze/ZsK7Q7depk23zUqFG2/YMLEUGoj2tfxvnEiROt6HMgnGibZ5991o7re+65x7Rt29aWGRDE9AtzirIxtpiDiRg/frztG5LSfPHFF1aoPfPMM1HnMGaGDBlix9Y333xjxTeC/YcffrCfM8/oc661YsUKM27cOCua47F7926zffv2qJcQQgiRbfCEyGQWLFiAVe1NnDgx3d+dMGGCV7Jkycj7MWPG2GvNnz8/cmz58uX2GPeBXr16ebVq1Yq6zurVq+05S5YsiRzbunWrPTZr1iz7nn95P3ny5KTlql69ujd8+PC4n1OGQoUKedu3b48ca9q0qXfcccd5e/fujRyrXLmy179//3TXf9WqVZFjI0aM8EqXLh1536hRI69Tp05R12nZsqXXrl27uPdZtGiRve5ff/0V1Ra0UTyqVavmDRw4MPL+4osv9m644Ya451P2YsWKpTleoUIF79JLL/WSMXjwYK9OnToJ27hr165e/fr17f8XL15s67BmzZqY1ytbtqzXo0ePuPfju507d446FmyXVMZjgwYNvDZt2sS9D/UfOnSo/f/06dO9PHnyeOvWrYt8vmzZMnu9hQsXplTvWLRu3dpr3rx51LFWrVpF9UeTJk28fv36RZ0zduxYr0yZMnGvy5gqUaKEt3PnzsixkSNHeoULF7bjfNeuXbasc+fOjfpe+/btbZmge/fudiz56datW5p29peVNu3QoUPUd6i/f97Tv3379o06p27dupHvdezY0WvcuLG3b98+LxVod8oUfJXvPN6r0G3KQX8JIYQQsG3bNvv3iH8TIU+eOBALBymfSxhkkyZNzDHHHGM9Odddd50NK8Nb4mCPHKFvjipVqlhvIN6EzIAwRj948vA6ER7JfQij417JPHl4BaiDg9CyatWqWW+d/5g/TDKV+hNuV6lSpch7vBjpCbWExYsXW88J4Xvcp1GjRvZ4sjr5weMyZswY+3/CCfFaxvN2pbfN4c0337T7OAknpc3xegbLF2xjf1vgGaQtCde86qqrrCdw69at9jPO+eWXX+zn6S1XkGTjEe9Usvs4+A5hurwcjJng+E5U73jXrV+/ftSxBg0aRL3Hq0t4I23tXrfccov1iPrHXxDamTHpvy5zBg8dj4Dgu+eff37UdfHs4Y1MtWzprQ9eNvqX8eOH964d8VzTN5UrVzZ33323mT59esJ7du/e3YYbu1cwJFcIIYTIykjkiUyHvUrsY0qWXIWQQfZ5ESL59ttvWyEyYsQI+5l/j09GcMLKLzj9+7v8BENKEXiTJk2yoWGEtGEYIhySlSlfvnxR72mDWMcI0UtP/WNdw18v6hoU1v66sieN0DVCJwlRI7sj9QveJxmE9hFKOG/ePPPqq6/aPVdnnXWWyQjBNueabdq0sSGOhCMS5tijR4805UvUnnny5LHhjohPhNLw4cOtQb969eqUk3jECi9OLwciYUiiemcUhBlhloxv9yJMlfBG9qxl9JouZNV/XcJBg/vyDjbsPWQsELbMcwjZ+8gjK+LBvj7mjP8lhBBCZBck8kSmU6JECSsqECz+pBcOl8QCUYOhyj6a008/3SZiYDU+CIkg2IfjYD8N18DTBmRAJMFJrAyG/j1k/iQsiWCfFav+7KtC3OFZCiaGyAxSrX8yqKu/nrTFt99+G3mP2MY7yB4uRBmep/R6AoFEJiTdwJvH3i0SqyQiVr/EY+7cuTYRBsIObxoLBWvXrk13GRE/eG8QLwhFyoCgxQuGNywzHt+RbDwi2lO9D9/BQ+T3EiGIuB5CNaNwXf/eT/AnPHKih7KzLzH48nufg+AB9D+snevircMbSZkRR3hgg9d03krKRkKmRGVLb30QYDxfkLnrh/f+duQ89jvi5cVzzOIK+yGFEEKIsKFc8eKAgMDD2CbhBCFhGL4Yx3haSIBBCBWGHx4nPC6EEmKQkawhlheDZ4iROIFQOZJJIIpcMguMd1boEXFk1sOgx5vCOQgbPE6IGsL/UgGBQTIJyoRoIDHI/npNYpFq/ZPRuHFjm7UU7wlhnWTs9D+8mxBNxA73IRMiAhBvRkYgZBPvI+KtXbt2Cc+lX/DsIHhciJ8/zC/Y5giDN954w4ZCUhfnbUwVRAD3uuCCC2zWT95v2rQpIr5I3EH9+axZs2Y2OyVtzthKD8nGY69evWy4Jn1BQhbGPdkkyR4ahOyfLCTgxSRRDeeSYZVw2lRCR+NBOCLzjyQkJHYhO6s/0yQ8/PDDti8ZH3i0EHYIOMZHMEmLH7yrJHVhPrH4QX1pA77P3MMTTrIV5kzDhg1tqCPtjMBizNAHLGx07drVjicWO1g0SATJYVh4oU2oFx5pkrqQEdTB9SgL7U5mTRYj+E3gXGBeEOZau3ZtW9YJEybYBZzs/ixHIYQQIhby5IkDAsbXl19+abP6kf2yRo0adp8ORjgiDzD8MbzIOsnnGGOxUpojDDCQSfuPgYfXgFV4B49oIAMm98KrRcY/ly4fo5nHI/CIgUSGqx/KVLx4cZshEvGFVxKvR2aTav2Twb44jGfCKREHtD1t4aBNMKIxavFqIHwx/jMCogRDmTbBc5II2g+DHs8JZeBREvEgCyLCALGAgY5nz2XdTBVEBNlHCfnEK4oIQUwg6IA2QkiRlZFsrAgcl3kxPSQbjzzSgrYmkyN1QYQHPVcOFhF4jAHj7eyzz7btS//5r5cREJ14q8g4yThj/1lwkYM+JDSWzxDWfIdspnhUE4GARZRTXvqWvnOPxwAWEOg7xjICm7mJaGexBRCVeNDIFkrZWNggNDoR3IdrknmW+YyX94477kgjbFns4PcG4YyopQ8oKyBAGYMIReqLQEV8J/JaCiGEENmVXGRfOdSFECIeiBMEmt8zJQ4deOZIEoOXhDT4OY2cPh7xplF3BFpOg+QuPKOwfOfxJnf+2B7pA8maAS0O+j2FEEJk3b9HRMok2i+ucE0hRFIIvdu8ebP1jBHehvdGCCGEEEJkTSTyhBBJYb8c4XbsecSbxV40IYQQQgiRNVG4phBCCJFJ4TFCCCFEVvh7pB3nQgghhBBCCBEiJPKEEEIIIYQQIkRI5AkhhBBCCCFEiJDIE0IIIYQQQogQIZEnhBBCCCGEECFCIk8IIYQQQgghQoREnhBCCCGEEEKECIk8IYQQQgghhAgREnlCCCGEEEIIESIk8oQQQgghhBAiREjkCSGEEEIIIUSIkMgTQgghhBBCiBAhkSeEEEIIIYQQIUIiTwghhBBCCCFChESeEEIIIYQQQoQIiTwhhBBCCCGECBESeUIIIYQQQggRIiTyhBBCCCGEECJE5D3UBRBCCCGyCzV6TTO58xc66PddM6DFQb+nEEKI7Is8eUIIIYQQQggRIiTyhBBCCCGEECJESOSJHIPneeaJJ54wX3zxxaEuihBCCCGEEAcMibwcwksvvWSOOOKITL3mmjVrTK5cucxXX30VOTZnzhxTs2ZNky9fPnPppZeaTz75xJ7z559/moNB7969zSmnnBLzs/79+5sPP/zQ1KpV64Dcm3pOnjw5U695sNsvu7RLdplD55xzjuncufMBK5MQQgghRCwk8kLCDTfcYI1pXocddpg54YQTzKOPPmr++++/A3bP8uXLm19//dXUqFEjcuzee++1Imv16tXWKD7jjDPsOcWKFTMHg/vuu8989NFHaY5/9tln5q233rIvBKgQ6aVVq1Zm5cqV6frOxIkTTZ8+fVI6V4JQCCGEEJmFsmuGiAsvvNCMGTPG7N6923zwwQfmzjvvtIKme/fuB+R+efLkMUcffXTUsR9//NHcfvvtply5cpFjwXMOJIULF7avIGeffbb58ssvD1o5RPgoWLCgfaWHEiVKZHrI8d69e03evPrp9rNnzx67uCWEEEKI/yFPXojInz+/FVQVKlQwd9xxhznvvPPMu+++G/NcxFjLli1N6dKlrSiqW7eumTlzZtQ5xx13nOnXr5+56aabTJEiRcyxxx5rnnvuuZjhmu7/W7Zssefzfzx5scINCenEa1GoUCFTvHhx07RpU7N161b7GeGUDRs2tGFxJUuWNBdddJEtq5+ff/7ZtG7d2hrQhx9+uDnttNPMggULYoZr7tu3z3o0EZ20D59xj2Ad8Lice+65tkyEc86bNy9hW//www9WOBYoUMBUq1bNzJgxI80569evN1dffbWtC2WlvblfIhDnJ510khUTlCfW+Z9//rk566yz7Dl4U++++26zc+fOqH577LHHzPXXX2/7lvHAONi0aZMtA8dOPvnkqL2J9Btteswxx9g2IOT29ddfj7ovfca97r//flsfxhrtnd526datm60j9zn++ONNz549zb///mvSAx5ZykgbME4Y664NYnnECB3G270/bRQM13RjbezYsfZ6eKuvueYa89dff0W1mb8szzzzjDnxxBNt+zD3rrzySnucsn366afmySefjHjk6Xs3f6ZOnWrq1KljxzD9z0IOfVGqVCl7LebMokWL4rYXc8DvcXdQfto/HsuWLbNzsGjRovY3gHHn5mOqc2v8+PGR8crvDN5Qysq8pZ2bNWtm291BW9BfjzzyiDnqqKPsvVk4Qsj52/Wuu+6ybXvkkUfa3xBgzy3jgt8F5kaHDh3Mjh07It9bu3atufjii+3vDudUr17dzjkhhBAibEjkhRiMKr9h5AfDp3nz5ja0ccmSJdYLiPGzbt26qPOGDBlijTHOwWBCPK5YsSJu6CYG2bBhw+z/CW8LgiBs0qSJFQAIKQxW7ot3AjDUCfnEuKZsuXPnNpdddpk1KF25GzVqZDZs2GCN8q+//tqKDvd5EIxm6vD444+bb775xhqDl1xyiRUjfnr06GFDPSkfAgTBEy/UlXtdfvnl1nOAuHz22WetcPGDaOFeGMazZ8+2whaDlnaO1yeIQq5Le1COm2++2TzwwANR52Bgc40rrrjC1ufNN9+0bYjB62fo0KHmzDPPtP3WokULc91111lB07ZtW+vRrFSpkn2PZwh27dplRcT7779vvv32W3Prrbfa7yxcuDDqui+//LI1jqn3oEGDrJHvhFwq7QK0CYLpu+++s/0zevRoW95UYWzRPywmLF++3Aoh7uvqkirpbaNY0B/sN5wyZYp9IdQGDBgQ81zGNMKMNmMOIYgQxEA7NGjQwNxyyy22fryYUw7GAdelvohPxvzbb79t+4OyEp7NePvjjz9i3tu1lV8IUm/G0I033hjzO8wxyoeA+/jjj83ixYvtddy8SHVu9erVyzz00EO2nHggr732Wlt+vs/cWLVqlXn44YejvsPcd33LYgOLMIg+P9SdscbcYqwBvxdPPfWUFad8Trm5l4PoBgQy4dtLly41AwcOjOn5B87bvn171EsIIYTINngiFLRr185r2bKl/f++ffu8GTNmePnz5/fuu+8+e2zMmDFesWLFEl6jevXq3vDhwyPvK1So4LVt2zbynuuWKlXKGzlypH2/evVqrF9vyZIlkXO4B/dyzJo1y56zdetW+75169bemWeemXK9Nm3aZL+/dOlS+37UqFFekSJFvC1btsQ8v1evXl6tWrUi78uWLev17ds36py6det6HTp0iKrD888/H/l82bJl9tjy5ctj3mPatGle3rx5vQ0bNkSOTZ061X5n0qRJ9v3YsWO9ypUr2zZz7N692ytYsKD9fiy6d+/uVatWLepYt27dotqvffv23q233hp1zuzZs73cuXN7//zzT8x++/XXX+01evbsGTk2b948e4zP4tGiRQuvS5cukfeNGjXyGjZsmKYtKWOq7RKLwYMHe3Xq1PFSZfHixfaaa9asifk55ezUqVPUMeYGc8SRkTYKziHGWqFChbzt27dHjnXt2tWrX79+zLK8/fbbXtGiRaPOT1ZuN38mT54cObZjxw4vX7583rhx4yLH9uzZY8f6oEGD4rSa5zVr1sy74447Iu87duzonXPOOXHPZzxWrFjRXjsWGZlbr7/+uj320UcfRY7179/fzhUH/VSiRAlv586dkWP85hQuXNjbu3dvpK1q167tJWPChAleyZIlI+9r1qzp9e7d20sF+peyBl/lO4/3KnSbctBfQgghBGzbts3+PeLfRMiTFyLwJLAqTfgWIVB40oLhdA48YniuqlatakPQ+B4r50FPHl4DB6FXhOht3Lgxw2V0nrx44AXAS0MYH15BwuDAlYvv165dO6W9Tqy8//LLL9Zb44f31DVePcuUKWP/jVdPvouXpWzZspFjeGH84GHEQ4HXyu0TpMx4zILhp/7r1q9fP+pYrOviBXPX5IUHBS8ayW5i1YewQCCMLXjM1RFPKglCOIdyct1p06YlHA+urdw1UmkXwPtIHzCWuA9enuB9EkE4LWOIsl511VXWE+jCfdNDetsoFoxP+jhWewQ5//zzbVgoYxuv4bhx48zff/+dUlnxpjsYP3iK/eOavbf16tVLM6794CXEK8YYxJv82muvWc9cPJhrhFnGSlSU0bkVr52DbUYfE87rH0f8ZuHtduB5DkLIOWODsGP6hXYmFNm1M55UwnQpJx5GPJDxYC/ztm3bIi//vYUQQoisjkReiGAPF4YZQumff/6JhNbFAoE3adIku+eOkCm+h+EVDCUMGngIvXihkamQLHEFoYqEnGG4E/Ln9tq5cqU38UWq+OtJHWF/6olBihFKu/pf7EciXG1/rnvbbbdFXRPhR58TXpioPonqOHjwYBs+R3jlrFmz7HURj5k9HgjRbdOmjQ0VZlGCkEFCZeOFsMZL+EOIKPvUCPsdPny4qVy5ckTkErIXDLGMtecvvW0Ui/S0B6KDkEWEFmKQEEXETCqPx4g3j9MDc4vQS+b9e++9Z9vE7QmMRWbNtVTaOSNzLdgm7AFk/yCiklBWwktHjBhhP3PjixDon376yYo/wjURz4yfWNBWLDT5X0IIIUR2QSIvRGD0sDeHBCnJsu+xj4UEB+x3Q9zhVUmWFCQzwACL9YgDYMWdvUp4dliNx8sY9NDwfQRIvL1HfjDK8CpRVz+8RxxkFMrFqj77phzz58+POufUU0+1wovEGPSJ/xXvcRJcN7gHLtZ12csWvCav/ckuSJuQcIT9aAgPvE3pfVxAKu0yd+5c681C2GFgk4SEZBjpBWGAN4Z9WghF6o54AZJ1+MuAl5J9hlkB5iVJYtjPiBeJOce+MaAObm9qIhDzbi+aA8HGfrtE45p7t2vXzmbg5UWSmERCjrnGAlAsgXyg5paDhQsWqvzjCK+vf59iEEQdYpF9gqeffrrdW4u3MQjXIJEL+/y6dOliF5SEEEKIsCGRl0PBuMbIcZ4gvEv747lKFUKgMEZJ4oKR+/3335uRI0eazZs324x3ZEokgyehjhi/JGHxQygngpTsexiUrMqzah8vG2bXrl1tcgVCBBGQJLCgzp06dcpwHTDSMSAxmGk7DGFEix+8VWT9QzjxOV4mkkgQLkZ20FhgeCIMKTNlJZyO0Ew/eNoQSiRacV7bd955J03ilYyMB7xjXJtwO7yFv//+e6a3C/chNPONN96wYYckyXDiLFXw7uKBJpEJ12Ick50RkQmNGze2CWR4Mb5IFpQVHiaP55L60m8I21deecXOObyQLvSTuiH8mA/x5iOLOdSJcULyFkQ/oZiEJLZv3z5hGfBkMa/4XqJQTWBMEZaJGKStGWtkEnWJlw7E3HLgeaMu1I3sl4RWUh68tPFgoQNBimeO3wXK6hKyOMjGSRgy8xGvKl5rN26EEEKIMCGRl0Mh1TiiioeVE8ZFaB5eogMNImD69OlWBLCHiL02iBS8DBhwGP+syJPu/Z577rFhhH7wYPB9PGSE/OGFJOsgIXyxQFQhFFmx51yMW7JyIjYyCuVEmOBpoA4Yzn379o06h/1EZPDDq0rmRwxJjFb2Q8UL++JcBCvZGvGmYaAiZoLeFTI44mVjvxT7Ewn78++Dywh4T+l/xgHp6Z2Qzux2Ifsi/YrBTsp9RGUwhb9LvY8ojgXtR9vS/4wnyo73hn2ogHhBaJIZk0yseCUJZT7UsPcVQYoIZTzQv4RuksbfhVAzjvGE4Y1MtE+RMU+GVcIO6TcWRRAvzOlEMO6Z81WqVEmz/zMICy4IQpfRlvBjvF4u1PJAzC0HnnyuQ3ZP9hYzbuLtL3YwZ/hdQ3jy+8Gex/79+0edg6eUDJu0P1lqGT881kIIIYQIG7nIvnKoCyGEEA68KwhjvDHJRItIH/zcI57wpAe95FkFwsjxvLLYkZXAq0modfnO403u/P+XFOZgsWZAi4N+TyGEEFkP9/eIpGCJ9osn3rglhBAHGcLzHnzwQQm8TIaQVjzlv/32W9xn4wkhhBAiHEjkCSGyFMEQXZE5EOLMPlH2vMpDKoQQQoQbhWsKIYQQmRQeI4QQQmSFv0dKvCKEEEIIIYQQIUIiTwghhBBCCCFChESeEEIIIYQQQoQIiTwhhBBCCCGECBESeUIIIYQQQggRIiTyhBBCCCGEECJESOQJIYQQQgghRIjQw9CFEEKIJHieF3k+kRBCCHGocH+H3N+leEjkCSGEEEnYsmWL/bd8+fJqKyGEEIecv/76yz4UPR4SeUIIIUQSSpQoYf9dt25dwj+qYVstRtSuX7/eFC1a1OQUVO+c09/qa/V1dgQPHgKvbNmyCc+TyBNCCCGSkDv3/7awI/ByigHsoL45rc6geucc1Nc5h6Ih+T1LZbFRiVeEEEIIIYQQIkRI5AkhhBBCCCFEiJDIE0IIIZKQP39+06tXL/tvTiEn1hlU75zT3+pr9XWYyeUly78phBBCCCGEECLbIE+eEEIIIYQQQoQIiTwhhBBCCCGECBESeUIIIYQQQggRIiTyhBBCCCGEECJESOQJIYQQCRgxYoQ57rjjTIECBUz9+vXNwoULQ91e/fv3N3Xr1jVFihQxpUqVMpdeeqlZsWKFyUkMGDDA5MqVy3Tu3NmEnQ0bNpi2bduakiVLmoIFC5qaNWuaL774woSZvXv3mp49e5qKFSvaOleqVMn06dPHhCkX4WeffWYuvvhiU7ZsWTuWJ0+eHPU5dX344YdNmTJlbBucd9555ocffjBhrve///5runXrZsf44Ycfbs+5/vrrzS+//GLCiESeEEIIEYc333zT3HvvvfZRAl9++aWpVauWadq0qdm4cWNo2+zTTz81d955p5k/f76ZMWOGNYwuuOACs3PnTpMTWLRokRk1apQ5+eSTTdjZunWrOfPMM02+fPnM1KlTzXfffWeGDBliihcvbsLMwIEDzciRI83TTz9tli9fbt8PGjTIDB8+3IQF5iu/VyxSxYL6PvXUU+bZZ581CxYssKKH37Zdu3aZsNb777//tr/jCHz+nThxol3AuuSSS0wY0SMUhBBCiDjgucOrhTEI+/btM+XLlzcdO3Y0DzzwQI5ot02bNlmPHuLv7LPPNmFmx44d5tRTTzXPPPOMeeyxx8wpp5xihg0bZsIKY3jOnDlm9uzZJidx0UUXmdKlS5sXXnghcuyKK66wHq1XX33VhA08WpMmTbJeeefFw4vVpUsXc99999lj27Zts23y0ksvmWuuucaEsd7xFnXq1atn1q5da4499lgTJuTJE0IIIWKwZ88es3jxYhvGFPmjmTu3fT9v3rwc02YYf1CiRAkTdvBgtmjRIqrPw8y7775rTjvtNHPVVVdZIV+7dm0zevRoE3bOOOMM89FHH5mVK1fa919//bX5/PPPTbNmzUxOYPXq1ea3336LGufFihWzi1o56bfN/b4hBo844ggTNvIe6gIIIYQQWZHNmzfbvTusbvvh/ffff29yAngu2ZdGSF+NGjVMmHnjjTdsCBcr+zmFn376yYYtEpL84IMP2rrffffd5rDDDjPt2rUzYfZgbt++3VSpUsXkyZPHzvO+ffuaNm3amJwAAg9i/ba5z3ICu3btsnv0WrdubYoWLWrChkSeEEIIIeJ6tr799lvr5Qgz69evN506dbJ7EEmwk1NAxOPJ69evn32PJ4/+Zp9WmEXe+PHjzbhx48xrr71mqlevbr766iu7mEEIY5jrLf4P9hpfffXVNnSVhY4wonBNIYQQIgZHHnmkXeX//fffo47z/uijjw59m911111mypQpZtasWaZcuXImzBCWSzId9uPlzZvXvtiDSGIK/o+nJ4yQWbFatWpRx6pWrWrWrVtnwkzXrl2tN4+9Z2RavO6668w999xjM8vmBNzvV079bfv3/ws89uGxsBNGLx5I5AkhhBAxIGStTp06du+O3/PB+wYNGoS2zVjZRuCRsODjjz+2aebDTpMmTczSpUutR8e98HARvsf/EfthhDDc4OMx2KdWoUIFE2bIssj+Wj/0MfM7J8CcRsz5f9sIXyXLZph/2/wCj8dFzJw50z46JKwoXFMIIYSIA3uVCN/C4CcDG5kWSdF94403hjpEkzC2d955xz4rz+3RITED2QfDCPUM7jkkpTwGYJj3IuK9IgkJ4ZoYvjwD8rnnnrOvMMNz1NiDRzZFwjWXLFlinnjiCXPTTTeZMGWKXbVqVVSyFRYsSKBEvQlPJYPsiSeeaEUfjxUgXDVRJsrsXu8yZcqYK6+80u69JUoBD737feNzFvZChSeEEEKIuAwfPtw79thjvcMOO8yrV6+eN3/+/FC3FqZBrNeYMWO8nESjRo28Tp06eWHnvffe82rUqOHlz5/fq1Klivfcc895YWf79u22b5nXBQoU8I4//nivR48e3u7du72wMGvWrJjzuF27dvbzffv2eT179vRKly5t+75JkybeihUrvDDXe/Xq1XF/3/he2NBz8oQQQgghhBAiRGhPnhBCCCGEEEKECIk8IYQQQgghhAgREnlCCCGEEEIIESIk8oQQQgghhBAiREjkCSGEEEIIIUSIkMgTQgghhBBCiBAhkSeEEEIIIYQQIUIiTwghhBBCCCFChESeEEIIIYQQQoQIiTwhhBBCCCGECBESeUIIIYQQQggRIiTyhBBCCCGEEMKEh/8Hc3giCqYvVzIAAAAASUVORK5CYII=", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "import matplotlib.pyplot as plt\n", + "\n", + "df[\"grupo_similitud\"].value_counts()[::-1].plot(kind=\"barh\", figsize=(9, 7), title=\"Episodios por grupo de dolor\")\n", + "plt.tight_layout()" + ] + }, + { + "cell_type": "code", + "execution_count": 79, + "id": "caacddee", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "pd.crosstab(df[\"grupo_similitud\"], df[\"fecha_ok\"].dt.year).plot(\n", + " kind=\"barh\", stacked=True, figsize=(9, 7), title=\"Dolor × año\")\n", + "plt.tight_layout()" + ] + }, + { + "cell_type": "code", + "execution_count": 80, + "id": "85a9cfc0", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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eDHisRUREokNB9jZ2+vRpG5CovBJ2vDlhkGBFEGR5gszChQvNn3/+aU/huxEYf/rpJ/uakyZNMl9++aWpX7+++euvv+zzhg0bZvr162fWrl3rec6TTz5pjh8/bp+3YcMGU65cOVOjRg27LsfevXvN9OnTzYwZM8zmzZvt9hAOCWITJ040O3bsMEOHDjXJkiXzuZ8XLlww9erVsyFv06ZNpk6dOrZ1gnAeiIcfftiG0G+++SZc5ZTQ2aZNm0if279/f3uAQDh/+umnTcuWLc3OnTvDLUMY7Natm72fMEmAfPfdd83IkSPN77//bu9r2LCh2bNnj12e4P/dd9/ZsOpgHAithFwQdFevXm0mT55sX4NxZr+d12AcGed7773XLrdixQo7Jhx4sP5KlSqZF154wRw9etTeaDf5+++/7ThyIMD+ENJ5j9966y37mizXqlUrOybsC8G5adOmJiwszOfYsP3nzp0LdxMREYkOtRbcxgiIhIx77rkn0uUIgFu3bjX79++3gQZff/21rdyuW7fOBhsQMKnIpk+f3gakRx991OzatcvMmzfPJE2a1BQrVsyG2SVLltgKIeGJSjBBlgofCG+zZs2ylb327dt72glYH1Vb/Pzzz/Z5hCUqyCBo+lOmTBl7cwwePNjMnDnT/PDDDxEqm/60bdvWjBs3zrzyyiv25x9//NFcvnzZVqYjQ4AkeDrr5SDgww8/NB9//HG4yi6Bz8EY9OnTx4ZeOGPGZLQxY8bYZdnu2bNne9ZPFZpKKtVTAjrbyv9z5cplH6c6ywEG97/zzju2Sv7AAw+E2w7eTwfVXSq1VNIdLMv7/9FHH9n18Lk5cuSI3dY33njDBlmqs2xfvnz57HOozvozZMgQM2jQoIDGX0RExBdVZG9j/ipl3giMBBgnxIKgSsXWXV1k5j8h1sGpfJYjxLrvI7iCqh7VUk5Bc8rfuRGYqe46CEVOiHWqiZx2d0JsVFgHQa548eJ2m1kH2x1oRRaERIK/025BcCRE+qpku1HZ9P7ZuyJLoHRQlSQc0rfsxs/O82hBeOaZZ+xBAzZu3Gi2bdtmtxEcdFBZZXzc40pV3BlXpyIbHayf7SfEureL8aXqzsECr0l4JcB//vnntlXBn759+5qzZ896bocPH47W9oiIiKgiexsrUqSIDSVxNaHLe5ISr+3rPiq3IADRZ+nduwl3j6t3WIzuRC5CLJVQKp2FCxe2z3/iiSdspTdQ9Pdy6p2KJr26tEL42u6YiCoM+0KVl95ZAiTbREuBUwVlXGmzoFXDu92CQIv4mAzHuhjnVatW2ao5lefXX3/dtpIwZt6owjuVeBERkZhQRfY2lilTJtt/yelqXxNymFAFKplUy9wVM/pSeZyKa0zRD8sEqjvuuMMGTPctS5Ysfp9XunRpG+ACvcQWvbRUK5s0aWKrhZwudyYvRTc8MjHrs88+M4UKFYpQNfXFPWHO+Znx9IcJb7QDsM3e++Aea/aDSi5VT/pl3b26ZcuWtRVZKt/e4+q0CjCGkV1ejdYCXsON7aaf1l3JZ7uowlMhdw5UGBdaBuhH5nVo4xAREYkPCrK3OUIsgYWZ6EyoYjIQp5BHjx7tOS3OzHOCE5OVOI1Nf2rr1q3tTHv3afHo4nVZR+PGjW0Fj3BJNY8q3vr16/0+j/UyAYtJVFQAaUVwJpn5qzw7E8VoZ3jqqac8VeHoIPQTNJnc9Pzzzwf0nGnTptkWAEL3gAED7NhF1ZdLHy59sYRmeoyZDMa2MyHMO1gzyY1gSUh30FLAe8V7xH4zPqyXntS5c+d6TuvT38yVJZgMRlWeyVsnT570tIlQSeU94T7Gi2U5mOGawyxPjy77xBUuaB9hefpvee9o22DdXE0hsuAuIiISGwqytzkmSRFOmZj18ssv28tY1apVy1brCDZOlY3QwiWaCJAEUJ5H0IoNXpeJYLwmwZAAxgSngwcP2l7ayBC6mWTGLHkqlb17945QQXS89957dtsrV65s2wMIpFSDo4uwRmWX9RASA0FlkisHUAFlwhpXc4iqit21a1cbDnk/OIAgoDMxjUDuxr5Tzeb/zmXJHLQbsI28BpPsOFgguHJpNDDWHDwQ7DmI4YCC95jXc9oxaBVgW+lPJphyVQTeL0Ix/bAvvviinQTHlShAyOdSZVzZgNfnfq6+wBUmRERE4kOSsEBn/IiIDW5UGQmWUf7lSpLEnlYnRMYHqqW0OBBQYxLMgw0T3e666y6Tp/tUkzRlmsTenFvSgaH1E3sTREQC/n3ARGCKJJHRZC+RAPCXiasB0I8aSIiNT1zD9tSpU7bi+eCDD94SIVZERCQmFGRFAsAXQnBKndPptF4kJiZY0QrC6Xv3N4WJiIjcbhRkRQIQk0ttxVfXDl8rq44gERERBVkRCTLbBv3/1SFERESioqsWiIiIiEhIUpAVERERkZCkICsiIiIiIUlBVkRERERCkoKsiIiIiIQkBVkRERERCUkKsiIiIiISkhRkRURERCQkKciKiIiISEhSkBURERGRkKQgKyIiIiIhSUFWREREREKSgqyIiIiIhCQFWREREREJSQqyIiIiIhKSFGRFREREJCQpyIqIiIhISFKQFREREZGQpCArIiIiIiHpjsTeABERt5IDFpikKdNoUILYgaH1E3sTREQsVWRFREREJCQpyIqIiIhISFKQFREREZGQpCArIiIiIiHptg2yjzzyiOnevXvAyx84cMAkSZLEbN682dwqnnvuOdO4cWMTChJj/MePH28yZMiQYOsTERGREAqyJ06cMB07djR58+Y1KVOmNDly5DC1a9c2K1eujPd1z5gxwwwePDjg5fPkyWOOHj1qSpYseVuG3ttRixYtzO7du00wy58/vxk1alRib4aIiMjtd/mtZs2amatXr5oJEyaYggULmn/++cf88ssv5tSpU/G+7kyZMkVr+WTJktmgHZfY9xQpUsTpa0rcSZ06tb3dDvRZFBGRUJRoFdkzZ86YX3/91QwbNsw8+uijJl++fKZChQqmb9++pmHDhn4rmzyP+5YuXWp/5v/8vGDBAlO2bFkbPKpXr26OHz9ufvrpJ1O8eHFz5513mqeeespcunTJb2sBla133nnHtGnTxqRPn95WiT/77DPP497b8u+//5qnn37aZM2a1a6zSJEiZty4cfaxAgUK2P+zPTyHdblP5b/99tsmV65cplixYvb+rVu32m3mdTJnzmzat29vLly44HPcwsLCTOHChc3IkSPD3c92sa69e/f6fN6NGzdMz5497aly1tG7d2/7Wm43b940Q4YMsdvPtpQpU8Z8//33nsedsZ47d64pXbq0SZUqlXnwwQfNtm3bwr3OihUrTNWqVe1rUMnu2rWruXjxYsBjjd9++82OH+t44IEHzKZNmyLsE+utW7euSZcuncmePbt55plnzMmTJz2PM+6sm33lwIUDkYEDB4Z7DT5PHTp0sM9nXVTc58yZ47O1YN++faZRo0Z2WdZZvnx5s2jRonCv9/HHH9vPAq/Fck888YTP9yOQsfr666/tevbs2eNZvlOnTuaee+6xn2X27+DBg6ZHjx72feEWnfeAMxKtW7e2fz/4zDn7y98l/t6w7jp16tgzEY5169aZWrVqmSxZspi77rrLVKtWzWzcuNHzOJ8pxtg5y8LnnHWLiIjcUkGWX5LcZs2aZa5cuRLr1+OX50cffWRWrVplDh8+bJo3b25PuX733Xc2eP3888/mww8/jPQ13n33XU9oIjDQ9rBr1y6fy/bv39/s2LHDhuWdO3easWPH2l/uTggDIYcQQBuDg4ozr7lw4UIbmAgXtFNkzJjRhoRp06bZ53Xp0sXnegkrBEAnNDv4+eGHH7Yh19++EVS++uorG3JOnz5tZs6cGW4ZQizh6ZNPPjHbt2+3Ael///ufWbZsWbjlXnnlFft6bC9BvkGDBubatWuesEf4odr++++/mylTptj1ee9PZGNNiH/88cfNvffeazZs2GDf2169ekUIoIR/wu769evN/PnzbUWf992Nan/atGnN2rVrzfDhw82bb75px94J7gRhWlkmTpxo38+hQ4fa6rsvbFe9evXse8h2s5/s+6FDh+zjbAehjXWwL2wT74k/UY0VIZP1ccB0/fp1+zn+4osvzLfffmvSpEljP1e5c+e26+Nz5gTOQN8DDoY4WGFf+DyDgMz933zzjVm+fLndN/fYnz9/3jz77LP29dasWWNDO9vI/Zg+fbp5//33zaeffmoDOH+/S5Uq5XP/+Xt/7ty5cDcREZHoSBLmXZZLQPzSe+GFF8x///1nypUrZ6s7LVu2tNU+pwpKdZBftPfdd58nwBD6lixZYitSVAmp6BL+atSoYZchjFDZ5Rc6LQt48cUX7esRLsBzeU2nv5AKFRUsfoGDYaGCN2jQIM9z3dtC1ZjgSjD05mu7nYos6yccOC0Fn3/+uenTp48N3wQuzJs3zwakI0eO2KqeN+6n4kVop4pNiKTyRQAhZPjC4wRTQigIRmzj/fff7zmYoGrJOFaqVMnzvHbt2tlwwwGBM9aTJ0+2/aMgEBOmCMmESJYnCBJkHIQe3ltCO5XKqMaa6uxrr71m/vrrL7s8CNeEXWdM33rrLVvRp3roYHmqj4TIokWL2veYSjTLORgvAjCfEQ5uCLIciLC8N/aJqj2fOX+o4LLNhESC5fPPP2+3g0pzVAIZKyr//H3g88DrE5QZGwdjyTa6zy4E+h5wEOA+mGF/2X6q+oUKFfJUmAnKx44d87kPHAxQxeXzwcHHe++9Z9dLtTx58uSR7j8HKLzn3vJ0n6pv9gpy+mYvEYlPFDY463f27Fl71jBoJ3tRMSKU/fDDD7aCRFAi0PILNbqc8AvCHxUrJ8Q699FuEOhrUPkkXPl7DqGKQEeo4tQ1oTIQVKfcfbGEKKpiTohFlSpVbEDwVw0mlNavX98Ton/88UcbRJ988kmfy/NBoFpXsWJFz3133HGHrYg6CC8EVk4bO9VyblRoOSBwcwddwi8tEuwHtmzZYt8/92tQcWZ/9u/fH9BY81pO64KvdTrr4WDGvR5OucO9ve71IGfOnJ710I5BCPcVYv1VZKlOctqd8MY62VanIsvY0SLD5442Byqn7nYWb4GMFQdtX375pa34Ey5fffXVKLcz0PfA/f47+HvjhFjv8QJVbw4+qcTyjwz/wDAuzhjwGeTAlDFgOYIyB02+cLDJZ9O5cTAnIiISMpO9QFghAHDj9CbVpAEDBtjqZdKk/5+z3UVj5xS2N3f1h2DkXQ3iPn6RRyY6z6GSR38i1VNOVVMN7ty5c4TeVW/uwBobjBNhidO4tBVQISWExJTTk8vp67vvvjvcY/Q6Rud16Dn11RdJFdkRk/fHez1UKemx9kb4CmQ90Z3IRYjlveY9poWD59MDy0QpUIWlX5QDMqq9b7zxhq060oLh6zJegY4Vp/ipsHIwQkU1qmpvoK/r67Poa7zcf/+o+DMZ84MPPrChnc8GBxnOGDgVcSr7jBVtIyNGjLDtKd6vzXOj89kSEREJ+uvI0hfpTEqh/xLuySbBdEkrto9f7PRX0qLgTFhyKq6c1o4K1T0qaO6JOPRsEuKdyWC+0JdIEKFSR7sCfbP+UDkj3NEn6qBKRv+pe9wJFVTWCGnuG+HEjd5IB6e+uUQV+wEq6vSaer8Gt0Cv0MBr0dt5+fJln+t01kMfL6fIvdcT6MEC1VraAAK9xBbvCwdYTZo0sZV1qsi0kbhR6a5Zs6btx2UfeHzx4sU+Xy+QsaLST1in6k5l1bvPleW8P2dx8R5ENgYEZD5/JUqUsJ8Z9wQ7EPA5yBg9erQN9atXr7YTGkVERG6ZIEtVh15FQiC/8DnlyUQnAgAzw51fiMyKp5+RU7hUdfr162eCAdW22bNn21PyBCombjlhLlu2bHbbnQlInDb1h4k8VKUJxPQVcrr8pZdestVWX/2xDip0hCpOz3Ka1/vUu7du3brZcaQf9o8//rCVMnfvJ1U+Ko700TJBitPzVBeZIMfPbvRMMuGJ7WUb6BV2vliBfl/CF4GLgw4m/DBO/iav+cIVJqgEcmqaQEbV27vSTfWb/txWrVrZiifbS78sPZ6BHECAnlEmY9HiQvWQzyCT95w+am+MM32q7BcHH2ynu4rMZ4DwxuNU62nL4HF/ByRRjRUTqPgcEBw5A0CrAhO33FeSIMhTsf377789gTIu3gN/GAN6m/n7yIERn193ZZuWBloh+Gz8+eef9u83j1O9FRERuaWuWkDPJqfGCRNMmqG1gPDC1Qcc9IFSPWRSEhNamOQTDKhsESKp6rH9BEt6Zp2qHIGGSS/0szrB3BfaAQhghDIu58SpatoU3GPgT9u2be0pXcJbVF5++WUbigjMhF6CK5VFNy7HxHvA1QsI5fQt02rgXE7MQSAmGPOeMAmIaqFT6WM8OOCgysmELiYUEfoZh+h8NnhNqng8//XXX4/QQsDrUR0ktD722GO2Qsrng1P4TktKoBMOGXcCMVVp+p39BWEmMtGzWrlyZVtxpO+U6qeDdRN0OUBj/JigNmnSJFu59CWqsWKMqS5zqTKwj/yZtgGCq3NQQdWXvlbnDEZcvAf+EFKpwrPfTsjmwM09BkxgpM+b7aDFgPeSS76JiIjcUlctkNhhNj6hl0kykVVv44pz1QKCjL66VeJrlqquWhD8dNUCEQmWqxYk+mQviT6uUMDX+zKRiFniCRFiRURERIJN0E32kqhxupqeQ3pc6SkWERERuR2ptUBEgoJaC0KHWgtEJD6FzBciiIiIiIjElHpkRSSobBtUO8ojcBEREagiKyIiIiIhSUFWREREREKSgqyIiIiIhCQFWREREREJSQqyIiIiIhKSFGRFREREJCQpyIqIiIhISFKQFREREZGQpCArIiIiIiFJQVZEREREQpKCrIiIiIiEJAVZEREREQlJCrIiIiIiEpIUZEVEREQkJCnIioiIiEhIUpAVERERkZCkICsiIiIiIUlBVkRERERCkoKsiIiIiISkOxJ7A0RE3EoOWGCSpkyjQbnFHRhaP7E3QURuAarIioiIiEhIUpAVERERkZCkICsiIiIiIUlBVkSi5eTJk2bQoEH2/yIiIolJQfYWlyRJEjNr1qzE3oyQ8cgjj5ju3bt7fs6fP78ZNWpUwM8/cOCAHfPNmzfHaju8X2fp0qX25zNnzpjEGAdHWFiYeeaZZ+z/s2TJkiDbIiIi4o+CbAg7ceKE6dixo8mbN69JmTKlyZEjh6ldu7ZZuXKlZ5mjR4+aunXrBvR6Cr0RrVu3zrRv3z7g9yRPnjx2zEuWLBmnAbRy5cr2de+66y6TEGbMmGEGDx4c4f533nnHfs4GDhyYINshIiISGV1+K4Q1a9bMXL161UyYMMEULFjQ/PPPP+aXX34xp06d8ixD6JCYy5o1a7SWT5YsWbyMeYoUKRL0vcyUKZPP+19//fUE2wYREZGoqCIboqjw/frrr2bYsGHm0UcfNfny5TMVKlQwffv2NQ0bNvRZZSX0dunSxeTMmdOkSpXKPmfIkCGeU+ho0qSJfY7zM2bPnm3KlStnn0Ngpj/y+vXr4dbx6aefmscff9ykSZPGFC9e3Kxevdrs3bvXnqJOmzatrSju27fP8xz+3KhRI5M9e3aTLl06U758ebNo0aJw+/jxxx+bIkWK2PWy3BNPPOFzLC5evGjuvPNO8/3334e7n/1m3efPn/f7vNatW9v1MybvvvtuhGW8Wwv++OMP89BDD9ltuvfee+02u8fY3RLAn3lvkDFjRnv/c889Z3+eP3++fZ0MGTKYzJkz27Fzj48378ou48rP3jfWiffee8+UKlXK7j9V4k6dOpkLFy6Ee00q97wO7xnbRzX/33//9dlawP2MFcuxPFX+PXv2eB4fP3683ZcFCxbY958xrVOnjq0ii4iIxBcF2RBFUOBGgLpy5UpAzxk9erT54YcfzNSpU82uXbvMt99+6wmsnELHuHHjbPhwfiYsE2C6detmduzYYQMroeXtt98O99qchmY5Atw999xjnnrqKdOhQwcbrNevX297KgnRDkJVvXr1bAV506ZNNvQ0aNDAHDp0yD7Oc7p27WrefPNNu60Ev4cfftjnfhHWWrZsabfdjZ8Jv+nTp/f5vFdeecUsW7bMBvWff/7ZhsWNGzf6Hb8bN26Yxo0b2yC3du1a89lnn0VaoSRATp8+3f6ZfWBcP/jgA0+I7tmzp91PxiBp0qT2IOLmzZsm0FP/vJ5za9q0qSlWrJgN/OD1eL+3b99uK/aLFy82vXv39jyf96lGjRo2jHPQsWLFCjv+7KMvBHC2lc8Py/N+8v5du3bNs8ylS5fMyJEjzTfffGOWL19u38tevXr53Qc+t+fOnQt3ExERiQ61FoSoO+64wwbKF154wXzyySe2YlqtWjUb6EqXLu3zOQQLKpxUAqneUZH1PoVOVc19Cpvq66uvvmqeffZZ+zMVWUIroWjAgAGe5Z5//nnTvHlz++c+ffqYSpUqmf79+9sqHwjCLOMoU6aMvTl4zZkzZ9qgROBlWwmoVCoJomxr2bJl/Y5Hu3btPH2kVFePHz9u5s2bF6HK6w7SX375pZk4caINdCDw5c6d2+86Fi5caKumBF5njAj0tWrV8ttm4Jyiz5Ytmx1bd1uI21dffWXfAw4WnP7aQE/9v//++zaoEq5Tp05t7/OesPbWW2+ZF1980Va5MXz4cPPAAw94fkaJEiV8rovKK+8LFVzGGBwEEdQ5kHryySftfYRaPouFChWyP/M+ciDiD2cD+HyJiIjElCqyIYwwdOTIERsyqGgSsAi0BFx/VTUqcVTuqHZShYzKli1bbBhxKsDcCM8ERipwDnd4dqqCnNp233f58mVP1Y0gSbWO09AEPF53586dnoos4ZDwSnBmljzByb0+b7RVEMQIoyCg8nx/VVwCKa0WFStWDBcOGRt/qKoS3txBn/XGBOGwVatWdv9oi3Aq487+B+qnn36yBxpTpkwxRYsW9dxPgCeg33333fZAgDGkd9oZQ6ciGwjeFw6c3GNFOwRjxWMOKtVOiIVzQOEP1fqzZ896bocPH47WvouIiCjIhjh6NQl9VD9XrVplw6q7UupGyN2/f7+tfv7333+2guqv79RB4KRqRvBxblu3brVBjHU7kidP7vkz1V5/9zmnzgmxVGCZBU/7Aq9L8CVcgvDFaf5JkybZQPTGG2/YCm5ks/+pyjohnrYCKsDOeoMNp/FPnz5tPv/8c1tJ5QZn/wNB9ZYK/NChQ81jjz3muZ8+WSrZHFzQ2rBhwwYzZsyYcK/vVG7jkvv9BmNPC4I/XGmDEO++iYiIRIeC7C2Gnkf6L/0hLLRo0cIGKKp4BB0ClRNEvHskCb9UIgsXLhzhRh9mTHGamtBNXygBliqnM1HJQRWwZs2a9jT477//bh/nFLo///vf/8zBgwdtbyghz2mH8IXKIfvrBEhnQtPu3bv9PocKJFVDrg7hcHqJI7vaANzjSmWUMe3Xr5+tilKVdiZZBYovIyAMU5Xv0aNHuMcIrhwwMHntwQcftJVaKvduhFx6cwPB9jG5zz1Wzj7weRMREUks6pENUQQJehPbtGljQwkVTCbjEPq4GoAvzGSnukmvKSF02rRpNkA6vZuc3ibcVKlSxVbLmKFOJZTqHteqpXrL82g32LZtm+27jCl6dZmwRBijckdF2T3Rac6cOebPP/+0rQFsB/2uPB7ZqX+WY9ITk7ioUEbW70orQ9u2be2ynCanh5WJW5GFcyrfBGACMuPM1RAIo/BX+aW9gcfYHyZHUQllO1knk8V4P2gnoD0gOgiwnMrneq7Hjh3z3E+fLQcZ9Kt++OGHdnw5aKB31fu0PgcQXM2A3lkC95IlS+xnyvuLDniv+EzRUsJkPz5rbC9tC/4+ayIiIglBFdkQRRCjZ5GJPoQ9JggRBgkbH330kc/nEECcST5c7ooKJwHRCW9U8JjQRB+oM7GKyVqEMPppeQ4VPtbpnigWE4RqAh2ThwhbrIfqr4NwTdCtXr26rQgSxGgz8DchyUE45fQ5AT8qI0aMMFWrVrXrp/LLJLj777/f7/JM3mJyE+0WjAWtDM5VC9xtFm6EPWfCHH3CTIBivCdPnmwrp7xvVFTZlujgqgAcTPA+EIadGxVjWjAYXy7NxuvTX+xcZs1BlZb3lIMS+nyZnMfVG6iC+0KrBmPDQQ3L0jLAZ8e7nUBERCQhJQmLrIlNJMRw6SeCIafSndP68YlqJwGYa+a6JzpJ9DERkG8uy9N9qkmaMo2G8BZ3YGj9xN4EEQny3wdMBI5q/oRaC+SWwGx8rqTAxCeuXxtfIZYJalTDOd1OeOWyYrRiKMSKiIgkPLUWyC2Blgm+iIGeX/o/4wt9sZ07d7brYrIaLQackhcREZGEp9YCEQkKai24vai1QEQStbWA63nyzUjOBdGZhMMEG1YsIhJT2wbV1jVlRUQk/loLuMwTPYHMXucapNyYJc19kX1XvYiIiIhIorYWcMkirlXJRfWdy/VwwXQuR8S1P7k0kIhIfJ1KEhGRW1d0fh/EKMhyUfdNmzbZCS9ufJsS1yh1vs9dRCRQCrIiIhLd3wcxai3gRfk2Im9cjJ2L7ouIiIiIxLcYBdkWLVrYb1CaMmWKDa/c+KYiWgtatWoV91spIiIiIhIXVy0YOXKk/f741q1b295Y8FWVHTt2tBekFxEREREJ6uvI0gu7b98++2euWJAmjb5WUkRiRj2yIiKSoF9RS3DNkCGD588iIiIiIkHdI0s7Qf/+/W1azp8/v73x5379+plr167F/VaKiIiIiMRFRfall14yM2bMsN9vX6lSJXvf6tWrzcCBA82pU6fM2LFjY/KyIiIiIiLx2yNL9ZWrFNStWzfc/fPmzbNXLaCnQUQkOtQjKyIiCXId2ZQpU9p2Am8FChQwKVKkiMlLioiIiIhES4yCbJcuXczgwYPNlStXPPfx57fffts+JiIiIiISlD2yfD3tL7/8YnLnzm3KlClj79uyZYu5evWqqVGjhmnatKlnWXppRURERESCIshyya1mzZqFuy9PnjxxtU0iIiIiIvETZMeNGxeTp4mIiIiIJG6PrIiIiIhIyFRky5UrZ/tiM2bMaMqWLWuSJEnid9mNGzfG1faJiIiIiMQuyDZq1Mhedsv5c2RBVkREREQkKL8QQUQkvi6Anaf7VJM0ZRoNsIScA0PrJ/YmiNwS4v0LEQoWLGi/itbbmTNn7GMiIiIiIvEtRkH2wIED5saNGxHu50sR/vrrr7jYLhERERGRuLv81g8//OD584IFC2zZ10GwZTIYX1MrIiIiIhJUQbZx48b2/0z0evbZZ8M9ljx5cpM/f37z7rvvxu0WioiIiIjEtrXg5s2b9pY3b15z/Phxz8/caCvYtWuXefzxx02oGz9+vP32smCydOlSewBBH/KtNDbBsl+3k4EDB5r77rsv0mWee+45z4FrTNGCxHu7efPmWL2OiIhInPbI7t+/32TJkiXK5UqVKmUOHz5s4gq/XPnF6H2rU6eOiUstWrQwu3fvNsGkcuXK5ujRo+HaOeI7zITifknUevXqZduAREREbsuvqI1ORebatWtx+pqEVu+vyHWubxtXUqdObW/BJEWKFCZHjhzmVnOr7lcw4kp79LKnS5fO3kREREJdyH1FLaGV4OO+8W1jjj179piHH37YpEqVytx7771m4cKFtmo7a9Ysv6eyOfXJfQRvX6fPnerlp59+avLkyWPSpEljmjdvbq9v5qC94s033zS5c+e228jy8+fP9zx+9epV06VLF5MzZ067bfny5TNDhgwJeL+9t9vZRibdFS9e3AYTQj7VTfdzKlSoYNKmTWuXrVKlijl48KB97qBBg8yWLVs8VW3uw3vvvWcr6TyHfe3UqZO5cOGC3+3at2+f/YKM7Nmz220oX768WbRoUbhlaDvp06ePfT3GpnDhwubLL7/0+35Mnz7dlChRwi7rq++a+9555x3Tpk0bkz59etvq8tlnn4VbhjMBvEfsd6ZMmew2Ou9vZGPjS/Xq1e1753bixAkbwv1VNhnbRx991G4f18C7//77zfr16z2Pr1ixwlStWtUeMDEuXbt2NRcvXvQ8zvtYv359+zgTKL/77ju736NGjfJ72p4x5D72zT22P/30k10/48l6vavxhNuePXvaccicObPp3bu3Db1ufJYfeughzzK0EPHeu/3222/2W//4fD/wwANm06ZNPsdGRETktg2ykSFMNm3a1AaMtWvXmk8++cQGqLiwd+9eM3XqVPPjjz/aX+r8kibkOT744AMbuEaOHGl+//13U7t2bdOwYUMbrDF69Gh71Qdeg17ib7/91gaT2Lh06ZJd3zfffGOWL19uDh06ZE8b4/r167bHsVq1anZ7Vq9ebdq3b2+DDa0TL7/8sg2LBCZu3IekSZPabd2+fbuZMGGCWbx4sQ02/hBy69WrZwMdY0KYbtCggd0WR+vWrc2kSZPs6+7cudMeEPirCG7YsMEG0JYtW5qtW7fa0NW/f39P0HYw1k5Y4n3o2LGjHVdwFoDxJ0T++uuvZuXKlZ6gzwFFZGPjS7t27WyQJJA7Jk6caO6++24bcn15+umn7UHNunXr7D69+uqrdkIkCIBsS7Nmzez6p0yZYgOmOywzZkeOHLFhlGBPUKcvPSZY99ChQ+3Yly5dOsLjjCXj+9VXX9ntOH36tJk5c2a4ZQjZhF3COO81n5MmTZrYv3PO54Bwy8Ej+8v75nwW/WE8uei1+yYiIhI0rQXxYc6cORFC0GuvvWZvVAL/+OMPW6XMlSuXfYzKXd26dWO93suXL5uvv/7ahhd8+OGHtmJGCKAqTKAkNBPAMGzYMLNkyRJbQRszZowNdkWKFLFVLQITFdnYIrAR1gsVKmR/JghRFQahgIox4cJ5nMqtgzG84447IpzW7969u+fPBO233nrLvPjii+bjjz/2uQ1lypSxN8fgwYNtCCK0sz30GhPeqYzXrFnTLhPZl2ZQEa5Ro4YNryhatKjZsWOHGTFihO2RdhCenQMJxv3999+3412sWDEbDAlYX3zxhSec0o5CNZFgSACObGy8cXDEvsyePduGbBD8nJ5tX3i/X3nlFXPPPffYn3nvHVTiCbrOWPMYIZ9gPXbsWFtt5bNMCGZbwb64XyM6+EzUqlXL7+N8Rvv27Wv3E3ym+DvkRuh2I/RmzZrVvjclS5a0QZ8xp9JORZaDJK4pzQGGP4wDZwZERERum4osp2s5neq+EbRAxYnTtE6IRaVKleJkvZy+dkKs87r84qYKSGikesbpaTd+ZptA6GFbCVqcRv75559jvU20ODhBDLQtOFU7TqezTiqTVEipGLvbDvwhQBEk2Vcqms8884z9Fjeqv75QiaPyRhAkKBKQ2WenIss+J0uWzIa0QPBcX+NIZdv9JRzuyiJhkkDu7Dun9amgs/1OPyjjwcEI1dDojg3BjHEgvGHjxo1m27Zt4YK1N6qXVHIJ71RD3afh2T6CsLNt3NgWPk9MpOQzxUFGuXLlPM+hHcPdQhMdThj2hUDPvlesWNFzH+v2fg7j36pVK3sQQquEczbBeZ+dai9jFejfPcIz63ducTkxVEREbg8hF2TpaeSXuvtGMAkUp0Th7gGM6wlpvhBKCClULP/77z9b2XviiSdi9ZrOqWp3oHPvF1VITptzZQCqlFQ316xZ4/f1qARSpSSQcDqbU8RUk8EpeV8IsVRgqXxzGp/gSo+ts3x8TZrzte/u09z0hHof8FAdfuqpp2I0NoRSqspUGXkuLQWRVdU5tU57BlV72jM45e6crmf7OnToEG7bCLeERfeBSVx9jvk7E1sEfloOPv/8c9u2wy2yz0Ug6NklFLtvIiIiQRNk6YVkElBCoSpIVcddXfMOJ5wOhXuZQK5zSeWJqqv7dQkTVFj5BUwVmF5MN34mwDhYjl5UwgDhibBIOIhPTL6h8rVq1SrPKWDQR+z9NcMEV8Ig7RIPPvigDXfuffaFfaQySb8kAZbKqHtSFffxmsuWLQv4PfQ1jmwLld1ADxoIhdmyZYtw0OO+zJe/sfGF/aBKyXvHckw0iwrb3KNHD1t957S9c7UNto9T8t7bxo33hc8UfbzuyVJUmP/9999Yf469MR5U8p1gCtbNZ8FBRZ4qcb9+/Wy1nvfIvS3gPvp9qXo7IjswEBERSdQeWSZ8cHO+GMHNOQXrVL/iEhNEjh07Fu4+ToVyXVtO4xIe+NYxeio55f/666+HW5awQPsBFbO3337bVukC+TYyTpnyuvTC8rq0B1BVdXpM6YccMGCAragxI5zQQrBgUpfT+0lgIDwRgKdNm2afG19fvED1lwlCTDgjZBNECHdMIgKnhlmGbWRSEqfhGRuqevT/UoEjQNIvGRn6NmfMmGGXpypKb6v788B6GDeCH32g9NNydQA+N06/qRuT0LjyAZVrQj9V048++shvj64v9J/y/nOlAudKEqyT7WTiGvsY2dhEVpWlV5YKJ8HdHyrufB6ouHPFAaq49Ls6fab09HKgwGvxmrwewZaKL/tKXy2fZSag0TNL9Zlxobrt9OTyZ16DtgXWwXgSNGOiW7du9nV4L1k3n1X3VSRoaeBKBYwZn2EO6phA5sbfdf6uvfDCC/bggIMZ/q6IiIgEXUWWCRqPPfaYDbInT5601Rn3LT5xxQB+mbpvTKACAZHTtwQJLq1ESCCsuhEKmEHPpDBOoTMpiwlNUSHkUVVjkhH7znPd4YpgS18kgYPqHdvJhCdngg5Bcfjw4baqR1DjF/28efM8p4ipaj7yyCNxNk70z7KPhCfCPaGoc+fO9pQ2uJ+Z8/QcU91jTAiZhBjGhAolITyqS4SxPEGHU/SEWXo93b2dIIwR6picRVAi7LgvNeXGc5kcNnnyZLsNb7zxhg2jkfWj+tp3ruJAXzPvGdXCtm3b2mohVfGoxsYfekQ5aOL/7l5Qb1SOqWISjHl9AjsTDp2JTXx2qFBzEMUluDi4YT/dvd1MLORsBpeSIzQzZnyG3OvlgJHqKW0UTBwL5HPsC59ZeoA54KCvlfW4gzqfUd4PqrS8J1SZOVBwo8+XK3pwpQn2h1DL50hERCQ+JQnzvmBkAAiPhDJ++YUCqlgE3Jh+5SbVW65DG59ftclkKEIl65LgxMEHFXeqq95hPb5R1eVMgjMZ71bEmQ5aHfJ0n2qSpkyT2JsjEm0HhtbXqInE4e8DJgJHNX8iRq0FTPCgAidxgzeKWe1z587VkAYhWhGosHLqntP5CRFimSDGpDCq+/TB0hJBmwYVWhEREYlFa4FzgXiJGxx1UHHT14YGJ3qFOQtBJTaqnuG4DM9cG5nrsXKan/YProHrfbUGERGR21mMWguYHEIPH71+3Lx/udI3KSISHWotkFCn1gKREGkt4DI7zne1c2F4N3/fdCQiEohtg2rrmrIiIhKQGAVZvgpURERERCSkvxCB3k5uIiIiIiJBH2S54D3X9qR/ga/p5MaF/bmIvfeXI4iIiIiIBE1rARc7//LLL+23AVWpUsXet2LFCnsNVC467/0lBCIiIiIiQXHVAr6BiMsQ8RWfbrNnz7bf3vT333/H5TaKyG0gOrNURUTk1hWd3wcxai04ffq0/apRb9zHYyIiIiIi8S1GQbZMmTLmo48+inA/9/GYiIiIiEhQ9sgOHz7c1K9f337ve6VKlex9q1evNocPHzbz5s2L620UEREREYmbimy1atXM7t277Vdnnjlzxt6aNm1qdu3aZapWrRqTlxQRERERif/JXiIicU2TvUREJN6+opavpS1ZsqRJmjSp/XNkSpcuHejLioiIiIjESMBB9r777jPHjh0z2bJls39OkiSJ8VXM5f4bN27EbGtEREREROI6yO7fv99kzZrV82cRERERkZAIsnwNra8/i4iIiIiEzFULJkyYYObOnev5uXfv3iZDhgymcuXK5uDBg3G5fSIiIiIicRdk33nnHZM6dWrP9WP5IgSuLZslSxbTo0ePmLykiIiIiEj8fyECX3xQuHBh++dZs2aZJ554wrRv395UqVLFPPLIIzF5SRERERGR+K/IpkuXzpw6dcr++eeffza1atWyf06VKpX577//YvKSIiIiIiLxX5EluLZr186ULVvWfsNXvXr17P3bt283+fPnj8lLioiIiIjEf0V2zJgxplKlSubEiRNm+vTpJnPmzPb+DRs2mFatWsXkJUVEREREokVfUSsiQfWVhHm6TzVJU6ZJ7M0RSTQHhtbX6Mtt7Vx8fEWttzNnzpjffvvNHD9+3Ny8eTPcN3s988wzMX1ZEREREZGAxCjI/vjjj+bpp582Fy5csEmZ8OpQkBURERGRoO2Rffnll02bNm1skKUy+++//3pup0+fjvutFBERERGJiyD7999/m65du5o0adTHFgyee+4507hx48TeDIkCV/QYNWpUrMZp6dKl9qwHB5AJLSbr5rrS3bt3j9ftEhGR21eMgmzt2rXN+vXrTaiFPX4Jc0uePLnJnj27vYzYV199Fa7HVxLGwIEDzX333RdSITK21q1bZ784JFTfB76C+ujRo7YBX0REJGR7ZOvXr29eeeUVs2PHDlOqVCkbDN0aNmxoglGdOnXMuHHjzI0bN8w///xj5s+fb7p162a+//5788MPP5g77ojx3DeJJ9euXYvw+UpMV69eNSlSpIjRc7NmzWpC+X1gv3PkyJHYmyIiIhK7iuwLL7xgv6b2zTffNE8++aQ9re3cmjRpYoJVypQp7S/iu+++25QrV8689tprZvbs2eann34y48eP9yzHqVO+8IHgwWS26tWrmy1btkSoYlHNzZs3r/2ms06dOtmAPHz4cLuObNmymbfffjvc+t977z0b/NOmTWvy5Mljn0OfsYNtyJAhg1mwYIEpXry4fV3CN1UwB+vo2bOnXY7r9/bu3duEhYWFWw8B/aGHHvIs8/jjj5t9+/b5HZevv/7aLnflypVw9/N+RnYFCj4DzZs3t+vJlCmTadSokTlw4EC4U9EVKlSw+8syfIXxwYMH7X4OGjTIjqlTJXfGnz+PHTvWHgzxPMbQGRc3vhrZPcnQmYRYvnx5+w1zWbJk8XwWOb3Nenv06OFZn/t9dKNq6/5SD6dtg+3IlSuXKVasmL3/m2++MQ888IBJnz69fb+feuopewWP6FSF2Y4vvvjCbidtOkWKFLEHVG7z5s0zRYsWNalTpzaPPvpouPENdB/i6n3wbi3g2/24bjR/n9h+PtuTJk2KdAxEREQSPchyKt7fjaAVSgipZcqUMTNmzPDcRzgnlBBw+ZIHQm+NGjXCTWQjGPI4oZFf3l9++aWtVP/1119m2bJlZtiwYaZfv35m7dq1nuckTZrUjB492n4D2oQJE8zixYttEHW7dOmSGTlypA1Ky5cvN4cOHTK9evXyPP7uu+/asEGIXrFihd2mmTNnhnuNixcv2rBL+8cvv/xi10tY8tdCwf7yvrlDFPs/d+5cO6nPX4WOFhOC3K+//mpWrlzpCd5ULa9fv24DYLVq1czvv/9uVq9ebU+rE4RatGhhJwyWKFHChnRu3OcOZ2zv1q1b/a7fG9vKc/iWuU2bNtn9JryB9zZ37tz2wMtZX3TwWrt27TILFy40c+bM8ez/4MGDbQgkVBMwCb3RRZDkYIAxYtu5GojzOeNAoWnTpqZBgwZm8+bN9uDq1Vdfjdbrx+f7cPnyZXP//ffbsd+2bZt9XQ58uCyfiIhIQoj1uXR+mVEBC2X33HOP/SUPwqFzfVwquCBYElZoQXB6HAmFhEmC3L333murZYQdKmgERyp3hNklS5aYihUr2ue4J71QMXvrrbfMiy++aD7++GPP/QSkTz75xBQqVMj+3KVLFxvA3NW2vn372oADlqWC69asWbNwP7OdVJdpBSlZsmSE/afaR0WRtgtCLSZOnGirzVQzfZkyZYodAyqKToWT51Pxo3JHtZILGVMNdvaFKrOD0Esrh69T1WzL888/b6KDimHLli1tMHRwgAKqxcmSJfNUT6OLiiT76W4pcAe7ggUL2gMUqsFU2Nm3QBF+nW/De+edd+zr8PnjgICKKGPHwQv4TBEq+VxF56LScfU+/Pnnn+EepxLrPsh66aWX7Gdx6tSpnoOIyHAGwH0WgG0VERGJ94os1TuqUfwi4xeh8wuuf//+tjIZajg174QxKmyEEU61s2/Obf/+/eFOzxNECUYOJo8RaAmx7vvcp5sXLVpkK7uMG8+lesXpWaqwDk7ROoEDOXPm9LwGgYSqmROMQQghNLrt2bPHhiMCFq0RzmlmqruRtYv8/PPP9ooUoOrrTJDzhXHau3ev3Q9njAiMHNgwTvyZ51O1paL4wQcfBFwJ9d6fQFCxZGzjA6fMvftiqdSzX4R9xoCKZ1Rj7Evp0qXDBWbeL+f93rlzZ7j3Gnw1dHTE5/vg/DvA+LAePgME2UDHYMiQIXbimHOj3UZERCTeg6zTt0g/qPsXPNU+KlehhsBQoEAB+2dCLOGRYOS+UW1lgpvDewKSczUE7/uc0/mceqYqRnCZPn26DUJjxoyxj3EqPrLX9e6BjQqBhdPTn3/+uW1tcNob3OvxVrZsWVvBpF+WbaP9IbJT5YwTp5W9x2n37t22kudUaDmVzWx3Krj0eq5ZsybK7SfQuXFw4D0GVK69q8rRFcjr+toeWjcIhoTOb7/91l6NwGnviGyMfYnsMxNX+xBX74O3ESNG2GDcp08fe+aB959xCXQMOLPAwZlzo5VCREQk3oMsYeezzz6z/XycsnUQhP744w8TSuhT5XStczqefthjx47ZSmfhwoXD3ZhAFFOEQwIKp4kffPBBGyaOHDkSrdegakXIdvfd0gPJazuo8BK66c+lQslpZL6oIhD0YHKAQvCpWbNmpBUyxonKL5PavMfJfXkmAjKBZdWqVfZA57vvvrP3cwAUaD81bRHnz5+3AdJBaHLjAIFeVn98rY/X5b12B0Hv1/WFzzjjPHToUFO1alXbmhLVRK+Y4L3z7jf1DqCB7kNcvA/e6Itmgt///vc/+3efMwAcyASK1h0OBtw3ERGRBPlCBAKLN4Kar4pWsKAfj1/6bP/GjRttTyK/iKmUtm7d2i5DgOP0LRNkONVOJZVf/q+//nqsrp3LeDE2H374oW3FYDIX/a3RxeXCCFD07BKouPKB+wL1GTNmtG0RHGhw6p+gzsSvQFBJZbIaldyoJllxEEOwZ/yY7EXrBb2xfFEGr8HPBCcqgcyQZywJvk5/Ju0OLEPoOnnyZIQrJrhxep2WC64yQdsCIcx9lQkMGDDATrrj/1TYvXtJWR+T53jvWR/o/z1x4oQ9s8DrUiFnAl9UaCcgADrvJZPkOMUe1+ifZsw4E8DBia/9jmof4vJ98MZVFpgAx98PxrxDhw72snYiIiJBHWTpBSW8eGMyFJWfYMUVBqho8subyTScDmVyDZfgcirLnNplwtbDDz9sJ7pQOWUSESGAnteYomLF5bcIV1TEOCVNj2B0Mcuc3tpnn33WBm76M92XPONU8+TJk22VlvVwySlOAQeCSiqVaXodo/qmMIIlwZBQx8QzglHbtm1tjyyVNR4naPN6jCGT5Dp37mzDDrif94BJclQVI7tsE/2XTD7jfXEu8cSMeu9AN23aNBsquRwVV6NwVzOZMMdBCf3HzvVc2WYm2hH+eH9Y3j15yR+eT6Bkffxd4MCCCYFxjbGlDYWDFraPAx8Ovtyi2oe4fB+8UfWnMk87AePPhDF9w5yIiCSkJGHRbcA0xgY/ghSVHgICM8WpGNFywOWJ+MYsCU20I3A5JgK+SELiqgV20lf3qSZpSn39tdy+Dgytn9ibIBIUvw+YPxFV21mMKrKcTubi88zCZ0LIG2+8YU8tcp9CbGiij5YJS7QHULETERERuWWvI8skF/rj5NZASwhhltYH59urRERERG7pL0TgMkzelwvS7OPQ4/3VpyIiIiLBLkatBcxy5utYaSugh4GZ8tz4Vif+LyIiIiISlBVZrhvJHDG++pSZ/P6+/UlEJLq2Dfr/L5sQERGJlyDL15NyeSf1UoqIiIhISLUWlC9fXl8nKSIiIiKhV5H94osv7LcO8S1JXHTf+/vi+bpQEREREZGgC7J8JSZfh8k3Xznok6Vvlv/H9LvbRURERETiNci2adPGXneUr7PUZC8RERERCZkge/DgQfud9oULF477LRIRERERia/JXtWrV7dXLhARERERCamKbIMGDUyPHj3M1q1bTalSpSJM9mrYsGFcbZ+IiIiIiE9JwpihFU1Jk/ov5Gqyl4jExLlz5+w3BZ49e1ZfiCAichs7F43fBzGqyN68eTOm2yYiIiIikng9siIiIiIiiS3giuzo0aNN+/btTapUqeyfI9O1a9e42DYRERERkdj3yBYoUMCsX7/eZM6c2f7Z7wsmSWL+/PPPQF5SRMRDPbIiIhJvPbL79+/3+WcRERERkcQQcJDt2bNnQMtRkX333Xdjs00iIiIiInEXZDdt2hTu540bN5rr16+bYsWK2Z93795tkiVLZu6///5AX1JEREREJP6D7JIlSzx/fu+990z69OnNhAkTTMaMGe19//77r3n++edN1apVY741IiIiIiLx+YUId999t/n5559NiRIlwt2/bds289hjj5kjR45E9yVF5DanyV4iIhLd3wdJY7qCEydORLif+86fPx+TlxQRERERiZYYfbNXkyZNbBsBk7oqVKhg71u7dq155ZVXTNOmTWPykiIiVskBC0zSlGk0GnLbOjC0fmJvgsitHWQ/+eQT06tXL/PUU0+Za9eu/f8L3XGHadu2rRkxYkRcb6OIiIiISNwE2TRp0piPP/7YhtZ9+/bZ+woVKmTSpk0bk5cTEREREUmYIOsguJYuXTo2LyEiIiIiEiMxmuwlEsouX75s3n77bbN3797E3hQRERGJBQVZSRAHDhyw3/q2efPmBFnfc889Zxo3buzzsa5du9oQW7hw4QTZFhEREYkfCrK3gMOHD5s2bdqYXLlymRQpUph8+fKZbt26mVOnTplgkSdPHnP06FFTsmTJBFnfBx98YMaPHx/h/m+//daG6s8++yxBtkNERETij4JsiPvzzz/NAw88YPbs2WMmTZpkK41cVeKXX34xlSpVMqdPn/b73KtXrybYdvL1xTly5LBXt0gIXEg5Q4YMEe5/+umn7Zd5JE+e3NxKnKuHiIiI3E4UZENc586dbRWWcFatWjWTN29eU7duXbNo0SLz999/m9dff92zbP78+c3gwYNN69at7TdltG/f3t7/+eef24opV6PgGsF8BbE7BHJlikaNGpns2bObdOnSmfLly9vXd+O133nnHVsZ5uuL2Q531dO7tYBT//zsfVu6dKl9/JtvvrEBndciAHOpt+PHj4db5/bt283jjz9u94Xl+Hpk5yoa3q0FV65csS0F2bJlM6lSpTIPPfSQWbdunedx1sv6OQBgvYxF5cqVza5du/yOffXq1U2XLl0ifCkI7wev48vAgQPNfffdZz799FPPmDdv3tx+e4nbF198YYoXL2639Z577rFXCfEeyylTptj3nGWoNB88eNA0aNDAfm00EzH55r158+Z5nrds2TJ73eeUKVOanDlzmldffdVcv37d8/gjjzxix6h3794mU6ZMdtzZXjc+G6VKlbKvz/Z36tTJXLhwwfN4VNsgIiISlxRkQxjV1gULFtgwkTp16nCPEUKoPhJ23N9CPHLkSFOmTBmzadMm079/f7Ny5Urz4osv2lYEQmatWrXsRCg3gkq9evVsOON5derUsWHl0KFD4ZbjCzIIgSzDNnXs2NFvEOTUP60Gzo31EzIJbU6FkdC9ZcsWM2vWLBveCKcOQvrDDz9sQ9nixYvNhg0bbIh2BzM3wtn06dPNhAkTzMaNG21/bO3atSNUrAn+7Mf69ett9ZjX9Kddu3bmu+++syHZMXHiRPsVzoRcf6iaT5061fz4449m/vz5nvFyEErfeOMN+z7s3LnTHiDwXrHtbgRRxo1l2BcOatiW5cuXm61bt5phw4bZAw9nvHgPOQhhTMeOHWu+/PJL89Zbb4V7TdZBAOULToYPH27efPNNs3DhQs/jSZMmNaNHj7YHESzL2DO2jsi2wRvL8S2B7puIiEh0JAlzpxwJKYSNBx980MycOdPnxKb333/f9OzZ0/zzzz82JFI1LVu2rF3e0bJlSxtU58yZ47nvf//7n/35zJkzftdNrysB2KlI8tpURKmkgo8VYXrQoEF2OYJogQIFbGijIuk2Y8YMG7qp8lapUsXn+giWhDC+Aplg9Nprr5nJkyfboOyrTYDQy/YTgi9evGgrhPTMUtl1gjLb3L17d/uNdFRkH330UbsNNWrUsMtQSaxfv77577//bNXT19UP6EumlYOqKjhI4NvtBgwY4HM/qHASHqlcEnhBmGU9hE3GjJBNiG/VqpXneTyH7Vm1apVnLEeNGmWDrINL4TVr1sznugnoBHlCL9VcUOXt06ePrQYTUKnI3rhxw/z666+e51HBJZQPHTrU5/58//339v09efJklNvgayz4fHjL032qvtlLbmv6Zi+53Z07d862CPL7ibOukVFF9hYQnWMRKqZuBEHna4Yd3j8TdPkmN05103JAkCQQeVdk3dcUJiwRyrzbAbwRbJ955hnz0UcfhQuxVFip+tKiQNsAp9DhrJPqMcE5kF5X2g0Iru7X53nsJ/vhbx84/Q5/+0C4Zdu/+uor+zOV3m3btoWrHPvCPjkhFvQy37x5074XhG62l2/JY5ydG0HWaZvw917SFsBy7CdB8vfff/c8xn6yHifEguV4b//66y+f+++MgXv/naDP9vO+sP9MKrx06VKU2+Ctb9++9h8p58akRRERkehQkA1hVO4IJt5hzMH9VCKzZs3quS8m375GiKWKyyluqnWESPokvSeLeYdKto2A5s+xY8dMw4YN7Sl6gpuDMMepco7COM1OL6tTRXbW6d1KEVfc++CEvsj2gW3n1DthcNy4cbZ6yVUjYsrpN6VvmXF2bgTkNWvWhFvW+71kW5j8R7jktD5B98MPP4zW+iN7D6kE05NM2KW6y8HGmDFjwr0v0dkG2kJ4j903ERGR6FCQDWGZM2e2Pa2cIub0t3dIJAS2aNEiXBXOW7FixcJNeoL3z/TRUmVkIhgBlkoroSY2OC3PBDJ6YplA5PbHH3/YKh+ns6m6sox3VZQwRagOZLY+X5/MBCz2w8Hz2M977703VvvBeBDWCJ70y0bWU+ugqnzkyBHPzwRUTu3zXjChjnYFwiAHKu4b7QRRYQIWp/pp13j55ZftdoFq+urVq8NV7xkPqqq5c+cOaF8JroRaeohpaSlatGi4/YhqG0REROKagmyI45Q8k2aoYDLBhtOz9FwScDn96z1xy9tLL71key8Jk1zCi9n0P/30U7jwW6RIERtKqAwyUYg+08iqlIHo0KGD3VYmDjHTn+DNjcoep94JnlTyCHQ//PCD7Rl1ozeXHhp6fOmfZdvpz/U1uYzKJRPP6IVlbHbs2GFeeOEFezrcXQmOKaqQhG5CImE/KrQkPPvss3YsCeOcjqfHlgME0Dc6ZMgQOza7d++2lU2qvd6B3xv9vkz+279/v21zWLJkiQ2wYDIZ4837zYHC7Nmz7al/eqgJ0YEgTHMA4LwvjDf9wYFug4iISFxTkA1xhEyCXMGCBW0YovrIZbWYuEQFjssoRYZeRsIIIYmJSgS9Hj16hJvcxGO0KHA5KvpWCc3lypWL1XZzKSiuVkBFlD5M58ZkJlohmJg1bdo0+zghkasteFejmTHPqXj6Z++//35b+fPXM8trMAmJU95sO1cOIHCxX7HFpCyucMD/fU0K8xUImRDGVQQee+wxW112X16LYMzltwivVHzZP8YjqoosE7W4agDBkStLUDF1XpeDGg5YfvvtN/s+UzElxPfr1y/g/eR5fBa4EgGT/aj4E7gD3QYREZG4pqsWSARUK6nauWevi3+0WXAAQatCVAGfmfpcSSGhvqo3FGep6qoFcrvTVQvkdncuGlctSJivWZKgRrWTVgROwdNWwPVBVUWLGqfZ6eWlqknPaGyr1CIiIhI9CrJiTzdz8Xuu0UqLAr2ZnN6WyDFZihYOTp9zPVURERFJWGotEJGgoNYCkf+n1gK53Z1Ta4GIhKptg/7/GsIiIiJR0VULRERERCQkKciKiIiISEhSkBURERGRkKQgKyIiIiIhSUFWREREREKSgqyIiIiIhCQFWREREREJSQqyIiIiIhKSFGRFREREJCQpyIqIiIhISFKQFREREZGQpCArIiIiIiFJQVZEREREQpKCrIiIiIiEJAVZEREREQlJCrIiIiIiEpIUZEVEREQkJCnIioiIiEhIUpAVERERkZCkICsiIiIiIemOxN4AERG3kgMWmKQp02hQROSWd2Bo/cTehJCniqyIiIiIhCQFWREREREJSQqyIhJte/fuNe+8847577//NHoiIpJoFGRvM0uXLjVJkiQxZ86cidPXzZ8/vxk1alSky7DeWbNmxWo9AwcONPfdd1+sXkNi955evnzZPPHEEyZXrlwmderUGk4REUk0CrKJ4NixY+all14yBQsWNClTpjR58uQxDRo0ML/88kucrueRRx4x3bt3D3df5cqVzdGjR81dd90Vp+tat26dad++fZy+piQuf+8pn93GjRub5557LlG2S0RExKGrFiSwAwcOmCpVqpgMGTKYESNGmFKlSplr166ZBQsWmM6dO5s//vgjXtefIkUKkyNHjjh/3axZs5pbxdWrV+043e7b7+89/fzzz2P92iIiInFBFdkE1qlTJ3uK/bfffjPNmjUzRYsWNSVKlDA9e/Y0a9as8Sx36NAh06hRI5MuXTpz5513mubNm5t//vknwin2b775xp4CpsLasmVLc/78efs41bJly5aZDz74wK6PGyHau7Vg/PjxNlQTpIsXL27XV6dOHVu1jayy612R8z4NvWfPHvPwww+bVKlSmXvvvdcsXLgwwlj06dPH7n+aNGlsdbp///421LsNHTrUZM+e3aRPn960bdvWntb2JywszBQuXNiMHDky3P2bN2+2+0xfpy/sB/vz9ttv29PlxYoVs/cfPnzYjjvjkylTJvt+MIZuX331lX3/qKznzJnTdOnSxd7PcqyTdTsYc+7jPYDzXsydO9eULl3ajtWDDz5otm3bFm4dK1asMFWrVrWn8aned+3a1Vy8eDHc2A8ePNi0bt3aflacKmog4/vjjz+a8uXL23VnyZLFNGnSxO97GtvPpIiISFxTkE1Ap0+fNvPnz7eV17Rp00Z4nMCEmzdv2sDA8oRRQuCff/5pWrRoEW75ffv22Z7TOXPm2BvLEvxAgK1UqZJ54YUXbCjlRgjy5dKlSzb8EUCWL19uA0uvXr1ivJ9sf9OmTW1VcO3ateaTTz6xocob4ZQgvWPHDru9VPref/99z+NTp0614YhJRevXr7dB8eOPP/a7XkJhmzZtzLhx48Ldz8+EakKuP7R17Nq1y441Y0ngq127tt3GX3/91axcudIT8ql4YuzYsfa9JDhu3brV/PDDD5Guw59XXnnFvPvuu/ZUPlVQ2kycwMl7zDo56Pn999/NlClTbLB1ArOD969MmTJm06ZNNrAGMr4EaIJrvXr17PMYgwoVKvjcxrj4TIqIiMQ1tRYkICqCVA3vueeeSJcjUBCM9u/f7wmfX3/9ta38EXaooDnhgqBCYMEzzzxjn0tlkWoYQZJqXFStBIQmwmahQoXsz4SkN998M8b7uWjRItsiQZWXCicIo3Xr1g23XL9+/Tx/poJHeJ48ebLp3bu3vY9qIFVYbnjrrbfsa0dWlaW6+sYbb9iKN6GMffvuu+8iVGm9cWDxxRdfeE7JT5w40Y4v9xGQnUDMwQaV1Mcee8xuz8svv2y6devmeR3nvYmOAQMGmFq1atk/T5gwweTOndvMnDnTVjyHDBlinn76aU9FvEiRImb06NGmWrVqNkhTSUX16tXttkRnfPmcUDEdNGiQZznCcHx9Jr1duXLF3hznzp2L9tiJiMjtTRXZBESIDcTOnTttWHBXUDk9T4jiMXc4cQIDqFgeP3482ttF2HVCbGxex3v7nRALqsPeqC7SL0zQptpJ8KIa7H6dihUrhnuOr9dxY53169e3p/ydU+eEpSeffDLS59Gr7O4r3bJliz3wYHzZNm60FxCiqToyPkeOHDE1atQwseXeJ9ZBa4PzPrMdBENnG7hRKSYwEiodDzzwQLTHl7aHQLc/Pj6ThHQOuJybvzMGIiIi/ijIJiCqaVT34mpCV/LkycP9zGsTcOLiddyhO2nSpBFCuHevZXStXr3aVho5rc0paE5tv/76657T9rHRrl07W3nkGqdUUTn9TViPjHerx4ULF8z9999vw577tnv3bvPUU09FedkpxgzucYvJmLEdHTp0CLcNhFt6kN0HH97bH8j4xsels6Lzmezbt685e/as50ZPsoiISHQoyCYgqm1U08aMGRNuso7DmYDFpCt+qbt/sdPnyONUwQJFhfHGjRux3m76Nt2Tv3hN7wlJbs72u5/jnsiGVatWmXz58tlwRTWRkH/w4MEIr0OPrZv36/hCeCPYceqdnmT6ZqOrXLlyNixmy5bN9r26b1QPqTpSffR3yTRnxr97DNwTv/zt07///mvDMvvubAfvvfc2cIvsygSBjC8TzAK95FtcfSbdmCDHpDH3TUREJDoUZBMYIZYgSP/m9OnTbVji1Cx9j84p5po1a9pT3VTUNm7caPs9mZFOX6SvU8j+ELQIgsygP3nyZIyqtU7/JRODuFFN7tixY6RfqMD2M1v+2WeftdVDJksRqNwIVpzmpnLKqXr2n75QN3pPaRGgqkq4o5d0+/btUW5vsmTJbK8sFT/WE1U7gi+MPbP4meDE9nMan95Yrhjw119/2WWYiMYkLbad95H36sMPP/RUO7kCAROdeH+Z9OTuWXWjH5lAycEB2816uYoCmCRHKKVvmSDMembPnh1hspe3QMaX8Zw0aZL9P9tID+ywYcN8vl5cfSZFRETikoJsAuMySASBRx991E7OKVmypJ3oQ5ChguicjiWsZMyY0c62J0TwPHoeo4PJPYQ6KmZUCN39kdFBRZNQ6gQXtoXtj+y0OqGJU/sEdk71e0/2adiwoenRo4cNZFyyibDmzLZ30BLAfUxO4jQ/FUVCdCCYIMZp9Oeffz5G+0wrAldwyJs3r70CAxVJ5/JfTuWQMWFCGldSYNLT448/boOmgxB+/fp1u+1M1mJymC+EXUI7y/FlGfT1OtVWqqaEYII8l+AqW7asnczm7j/2JZDx5bJq06ZNs1dbYBkOWAiovsTVZ1JERCQuJQkLdAaSSAihispEJk6Fcx3aYESFlwMC2gmcS6/dzrhqgZ301X2qSZoy8p5mEZFbwYGh9RN7E4L69wHzJ6JqO9Plt+SWwhUKTpw4YU/7c6WCYA2xIiIiEntqLZBbCj2fTHKih3f48OGJvTkiIiISj9RaICJBQa0FInK7UWtB7FsLVJEVERERkZCkHlkRCSrbBtXWNWVFRCQgqsiKiIiISEhSkBURERGRkKQgKyIiIiIhSUFWREREREKSgqyIiIiIhCQFWREREREJSQqyIiIiIhKSFGRFREREJCQpyIqIiIhISFKQFREREZGQpCArIiIiIiFJQVZEREREQpKCrIiIiIiEJAVZEREREQlJCrIiIiIiEpIUZEVEREQkJCnIioiIiEhIUpAVERERkZCkICsiIiIiIemOxN4AERG3kgMWmKQp02hQRERC0IGh9RN0farIioiIiEhIUpAVERERkZCkICsiIiIiIUlBVoJaWFiYee+998z69esTe1NEREQkyCjIBrHx48ebDBkyxOlrHjhwwCRJksRs3rzZc9/KlStNqVKlTPLkyU3jxo3N0qVL7TJnzpwxCWHgwIHmvvvu8/nYkCFDzPz5802ZMmUSZFtuJZGNq4iIyK1AQTYRPffcczYwckuRIoUpXLiwefPNN83169fjbZ158uQxR48eNSVLlvTc17NnTxt49u/fb8Nz5cqV7TJ33XVXvG2HW69evcwvv/wS4f7ly5eb77//3t4I2RI34yoiInKr0OW3ElmdOnXMuHHjzJUrV8y8efNM586dbWjr27dvvKwvWbJkJkeOHOHu27dvn3nxxRdN7ty5Pfd5LxOf0qVLZ2/eHn74YbNx40Zzu7l69ao9sImvcRUREblVqCKbyFKmTGlDY758+UzHjh1NzZo1zQ8//OBzWQJno0aNTPbs2W1AKV++vFm0aFG4ZfLnz2/eeecd06ZNG5M+fXqTN29e89lnn/lsLXD+fOrUKbs8f6Yi66u1gPaDRx55xKRJk8ZkzJjR1K5d2/z777/2MU79P/TQQ7YNInPmzObxxx+32+r2119/mVatWplMmTKZtGnTmgceeMCsXbvW5ynwmzdv2so0wZrx4THW4b0PM2bMMI8++qjdJloPVq9e7Xec2T+2y+3atWsmW7Zs5ssvv/T7vOnTp5sSJUrY7WBs33333QjjPXjwYLtv7Nfdd99txowZE24ZxrFdu3Yma9as5s477zTVq1c3W7Zs8Tzu7P8XX3xhChQoYFKlShXU47pixQpTtWpVkzp1alvh79q1q7l48aLn8Y8//tgUKVLE7gef1SeeeMLv+IqIiMSGgmyQIRxQkfPlwoULpl69evZ08aZNm2w1t0GDBubQoUPhliNsEWhYplOnTjYg79q1y2+bAeFq1KhR9s8tWrSIsByht0aNGubee++1oYYgw3pv3LhhHyfE0J7AhCy2LWnSpKZJkyY2ODnbXa1aNfP333/bkE6I6927t+dxbx988IHdh5EjR5rff//dhuaGDRuaPXv2hFvu9ddft6fP2b6iRYvaQOevLYMgSWhjHx1z5swxly5d8rnP2LBhg2nevLlp2bKl2bp1qw2G/fv3t2HfbcSIETbwMd6vvvqq6datm1m4cKHn8SeffNIcP37c/PTTT/Y1y5UrZ8fz9OnTnmX27t1rQzMh0ulfDsZxJUjzuWvWrJl9jSlTptjPQ5cuXezjbCvBlsDMZ44xp7LuC2chzp07F+4mIiISHUnCmBYuidYjS7Vu1qxZdnY+YYWq20svvWTDEYGpe/fukU66oteVtgAnSFAhpFr2zTff2J95XSq+gwYNsstRdaPqR+hyqnVU/AiybA+oyFKRo+LKY0899ZQNywSWQJw8edJWHwl/bB8VYYIR66Zy6I2AyBg4AY6qJi0Wr732mmeZChUq2Ao01U5nH6hgtm3b1j6+Y8cOWznduXOnueeee3xuF48/++yzNuyBEEelk9YOX55++mlz4sQJ8/PPP3vu47lz584127dv94x38eLFbUh1EHwJZbSKMGb169e3QZYqqIN+aF6rffv2dv+pohNIGbdgHlcOCGhP+fTTTz2vwT4SqAne7PPzzz9vK8WcEYgM28fn0lue7lP1zV4iIrfxN3udO3fOztM5e/asLbZFRhXZREZVkDYBTsPWrVvXVgf5Be8LFTiCC8GJgMnzCBjeFdnSpUt7/sypYoIsQSqmnIqsP1T0qNoVLFjQfuAId3C2i+eXLVvWZ9jy9eE9cuSIqVKlSrj7+Zl99befOXPmtP+PbD8JYU5o/eeff2z4pOXAH9bnazvYX6cajUqVKoVbhp+dbaVKyvtGYHZ6Vrkxsc7dJkBriXeIDcZxZX84wHLvC5VdqsDsU61atey+sM3PPPOM+fbbb23V2xf6wPlHyrkdPnw4yv0QERFx02SvREblc+zYsXZyT65cucwdd/h/SwixnLLm1DAVPdoQ6D/0bkXwnuFPmPV3ujkQrCcytBkQXj7//HO7D6yLiqGzXVE9P6bc+8k+IrL9bN26tT31T3vEqlWrbPWR6nV8IsQSBqlye3NfWo3+1lAYV/anQ4cOtn3AG/3YfI6ZoMf+Usl+44037IHZunXrIlxKjgq1u0otIiISXarIJjICDKGUEBBZiHUmXHH6nz5JrvtKpZXTwfGNCp2/yzgxUYxeyH79+tmqLdViZxKY+/lUD909of5QeSS0sa9u/EyPbmxQFeU6uVRlqSpyCjwy7Iuv7aBvlNPrjjVr1oRbhp95LuiHPXbsmH1veZ/dtyxZsvhdd7COK/tDu4H3vnBzrrTAvjJpcfjw4baPls/o4sWLA16HiIhIoBRkQwgzwZ3JQJzipXc1NpXWQHEKmIoaE8cIJn/88YetItOzyRUMCIj0azJhicDCBCU3To8TugmRBKc///zTTmzyd5WBV155xQwbNsxOJCLMUUVln5lEFVu0F0yYMMGeTqdfNjIvv/yyDfBclWD37t32eR999JGtjLuxT4Q2lqHXdNq0aZ5tJdDRasC+U6Ek1FENZkJVZN9WFqzj2qdPH7v99GTzXNofZs+e7enRplVm9OjR9rGDBw+ar7/+2n5GixUrFvA6REREAqXWghDCV7XS08kXFlDNI1QkxExvKpCEMCYJMTmIU9oVK1a0QYqZ9JMnT7anmjntTWAhyHCpLgeVOp5PMOSqC8yApwrofZkqB69FzyTL05vJsszKJ8jHFsGSU/1MYKJCGVX1cerUqfb0OGGW5zEb35kU52A7CaVMXKLyyftE36hzap4JUARXKsBMHiN8MpOfS1P5E6zjShV42bJldn9oy2AyYaFChTxXfqB9gIMt2gkuX75sX3vSpEl2vEVEROKarlogtxV6PJm9T3tB06ZNY/16TMDiyhLcJG5mqeqqBSIioetAAl+1QBVZuS1weptWCK6jStWQS2+JiIhIaFOQldsCl6ziKgV8qxUTvaKaWCciIiLBT7/N5bZAC0B8fPdHQlw1QkRERHxTkBWRoLJtUO0oe6JERESgy2+JiIiISEhSkBURERGRkKQgKyIiIiIhSUFWREREREKSgqyIiIiIhCQFWREREREJSQqyIiIiIhKSFGRFREREJCTpCxFEJCg437x27ty5xN4UERFJRM7vgUC+kVNBVkSCwqlTp+z/8+TJk9ibIiIiQeD8+fPmrrvuinQZBVkRCQqZMmWy/z906FCU/3AFS8WA0H348OGQ+Epdba/GV58H/X0LlX8fqMQSYnPlyhXlsgqyIhIUkib9/5Z9Qmww/EMaKLZV26vx1edBf9/070PcCrSgocleIiIiIhKSFGRFREREJCQpyIpIUEiZMqUZMGCA/X8o0PZqfPV50N83/fuQ+JKEBXJtAxERERGRIKOKrIiIiIiEJAVZEREREQlJCrIiIiIiEpIUZEVEREQkJCnIikiCGTNmjMmfP79JlSqVqVixovntt98iXX7atGnmnnvuscuXKlXKzJs3L0G2c8iQIaZ8+fImffr0Jlu2bKZx48Zm165dkT5n/PjxJkmSJOFubHdCGDhwYIR1M27BOLbgM+C9vdw6d+4cFGO7fPly06BBA/utQqxr1qxZ4R5njvQbb7xhcubMaVKnTm1q1qxp9uzZE+ef/7jY3mvXrpk+ffrY9zht2rR2mdatW5sjR47E+WcqLrYXzz33XIR116lTJyjHF74+y9xGjBiRKOM7JIB/vy5fvmz/vmXOnNmkS5fONGvWzPzzzz+Rvm5MP/fxTUFWRBLElClTTM+ePe0ltjZu3GjKlCljateubY4fP+5z+VWrVplWrVqZtm3bmk2bNtl/jLlt27Yt3rd12bJl9h/5NWvWmIULF9ow8Nhjj5mLFy9G+jy+4evo0aOe28GDB01CKVGiRLh1r1ixwu+yiTm2WLduXbhtZYzx5JNPBsXY8j7z+SQY+TJ8+HAzevRo88knn5i1a9fagMhnmXAQV5//uNreS5cu2fX179/f/n/GjBk21DRs2DBOP1Nxtb0Ogqt73ZMmTYr0NRNrfOHeTm5fffWVDaaEw8QY32UB/PvVo0cP8+OPP9oDWpbnwKZp06aRvm5MPvcJgstviYjEtwoVKoR17tzZ8/ONGzfCcuXKFTZkyBCfyzdv3jysfv364e6rWLFiWIcOHcIS2vHjx7lMYdiyZcv8LjNu3Liwu+66KywxDBgwIKxMmTIBLx9MY4tu3bqFFSpUKOzmzZtBN7a87zNnzvT8zDbmyJEjbMSIEZ77zpw5E5YyZcqwSZMmxdnnP66215fffvvNLnfw4ME4+0zF5fY+++yzYY0aNYrW6wTT+LLt1atXj3SZhBpfX/9+8XlNnjx52LRp08IcO3futMusXr06zJeYfu4TgiqyIhLvrl69ajZs2GBPRTmSJk1qf169erXP53C/e3lw9O9v+fh09uxZ+/9MmTJFutyFCxdMvnz5TJ48eUyjRo3M9u3bE2gLjT3Fx6nPggULmqefftocOnTI77LBNLZ8NiZOnGjatGljq1jBOLZu+/fvN8eOHQs3fnwnPKey/Y1fTD7/8f15ZqwzZMgQZ5+puLZ06VJ7WrxYsWKmY8eO5tSpU36XDabx5fT83Llz7dmOqCTU+J71+veLsaJK6x4v2hry5s3rd7xi8rlPKAqyIhLvTp48aW7cuGGyZ88e7n5+5h9HX7g/OsvHl5s3b5ru3bubKlWqmJIlS/pdjl+4nFKcPXu2DWY8r3Llyuavv/6K923klwl9pPPnzzdjx461v3SqVq1qzp8/H9RjC/oNz5w5Y/sig3FsvTljFJ3xi8nnP75wGpieWVpLaNeIq89UXKKt4Ouvvza//PKLGTZsmD31XbduXTuGwT6+EyZMsL2pUZ2mT6jxvenj3y/GJEWKFBEOZKL699hZJtDnJJQ7EnXtIiJBjl4zekej6l+rVKmSvTkIWsWLFzeffvqpGTx4cLxuI7/kHaVLl7a/JKleTp06NaDKUGL68ssv7fZTmQrGsb2VUIVr3ry5nbRDeArWz1TLli09f2aSGusvVKiQrdLWqFHDBDMOuKiuRjUZMaHGt3OA/36FMlVkRSTeZcmSxSRLlizCrFh+zpEjh8/ncH90lo8PXbp0MXPmzDFLliwxuXPnjtZzkydPbsqWLWv27t1rEhqVlqJFi/pddzCMLZiwtWjRItOuXbuQGVtnjKIzfjH5/MdXiGXMmQAUWTU2Jp+p+MSpd8bQ37qDYXzx66+/2ol00f08x9f4dvHz7xdjQjsGZ0Ki8++xs0ygz0koCrIiEu84jXX//ffbU4XuU1787K60uXG/e3nwC9jf8nGJihW/BGbOnGkWL15sChQoEO3X4FTn1q1b7aVqEhr9pPv27fO77sQcW7dx48bZPsj69euHzNjyWeAXt3v8zp07Z2dx+xu/mHz+4yPE0pPJgQOXXIrrz1R8ooWEHll/607s8XWfXWA7uMJBYo5vWBT/frGNHAy6x4sATo+uv/GKyec+wSTqVDMRuW1MnjzZznAdP3582I4dO8Lat28fliFDhrBjx47Zx5955pmwV1991bP8ypUrw+64446wkSNH2hm1zPJlpu3WrVvjfVs7duxoZ8kvXbo07OjRo57bpUuXPMt4b++gQYPCFixYELZv376wDRs2hLVs2TIsVapUYdu3b4/37X355Zfttu7fv9+OW82aNcOyZMliZysH29i6Z5XnzZs3rE+fPhEeS+yxPX/+fNimTZvsjV+T7733nv2zM8t/6NCh9rM7e/bssN9//93OUi9QoEDYf//953kNZq1/+OGHAX/+42t7r169GtawYcOw3Llzh23evDnc5/nKlSt+tzeqz1R8bS+P9erVy86eZ92LFi0KK1euXFiRIkXCLl++HHTj6zh79mxYmjRpwsaOHevzNRJyfDsG8O/Xiy++aP/+LV68OGz9+vVhlSpVsje3YsWKhc2YMcPzcyCf+8SgICsiCYZ/yPnHM0WKFPZyOWvWrPE8Vq1aNXvZHbepU6eGFS1a1C5fokSJsLlz5ybIdvLLyteNy0D5297u3bt79i179uxh9erVC9u4cWOCbG+LFi3CcubMadd9991325/37t3rd1sTc2wdBFPGdNeuXREeS+yxXbJkic/339kmLkXUv39/uy2Epxo1akTYj3z58tkDhEA///G1vQQlf59nnudve6P6TMXX9hK2HnvssbCsWbPagyu264UXXogQSINlfB2ffvppWOrUqe0lqXxJyPE1Afz7Rfjs1KlTWMaMGW0Ab9KkiQ273q/jfk4gn/vEkIT/JG5NWEREREQk+tQjKyIiIiIhSUFWREREREKSgqyIiIiIhCQFWREREREJSQqyIiIiIhKSFGRFREREJCQpyIqIiIhISFKQFREREZGQpCArIiIiIiFJQVZEREREQpKCrIiIiIiEJAVZERERETGh6P8AcQRtkmbqcJ4AAAAASUVORK5CYII=", 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "df[\"dimension_tipo\"].value_counts().plot(kind=\"barh\", figsize=(7, 4), title=\"Episodios por dimensión\")\n", + "plt.tight_layout()" + ] + }, + { + "cell_type": "code", + "execution_count": 81, + "id": "9e7926f7", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "df[df[\"precision\"] != \"anio(aprox)\"].groupby(df[\"fecha_ok\"].dt.to_period(\"M\")).size()\\\n", + " .plot(kind=\"line\", figsize=(9, 4), title=\"Episodios por mes\")\n", + "plt.tight_layout()" + ] + }, + { + "cell_type": "markdown", + "id": "a1000013", + "metadata": {}, + "source": [ + "## 7. Conclusiones" + ] + }, + { + "cell_type": "markdown", + "id": "a1000014", + "metadata": {}, + "source": [ + "> **Qué es el corpus:** 89 episodios de dolores reportados por gestores de pymes industriales B2B, recopilados de publicaciones de LinkedIn entre oct 2024 y oct 2026, categorizados en 8 dimensiones y 17 grupos de similitud (sin nulos ni duplicados; 1 descartado).\n", + ">\n", + "> **Hallazgos:**\n", + "> 1. *Frecuencia:* el dolor más reportado es el **flujo de trabajo, capacidad y pedidos** (13), seguido de ajuste/traslado de planta (11), DANA (9) y averías (9) — Fig. sección 6.1.\n", + "> 2. *Temporalidad:* los dolores se parten en **coyunturales** (DANA, averías, incendio: pico y decaimiento) y **crónicos-crecientes** (flujo de trabajo, traslado de planta, falta de componentes: dominan 2026) — Fig. sección 6.2.\n", + "> 3. *Solubilidad con app:* el corpus **apenas contiene quejas directamente digitales** (\"Sistemas y digitalización\" solo 7; menciones de Excel/ERP/manual: 6). La mayoría de los dolores son físicos/estructurales que una app no resuelve.\n", + "> 4. *Cruce de las tres:* la zona frecuencia × crecimiento × solubilidad apunta a un **asistente de coordinación de flujo de trabajo y pedidos para pymes industriales** (flujo de trabajo + control de producción/visibilidad + captura manual de pedidos ≈ 18 episodios ≈ 20% del corpus).\n", + ">\n", + "> **Advertencias metodológicas:** fuente única (LinkedIn, auto-narración pública de gestores — mide qué se cuenta, no la frecuencia real del dolor); sesgo de sector (industria manufacturera); fechas aproximadas con imputación a mitad de mes/año; 15 fechas sin resolver (en revisión, ver sección 5); clasificación elaborada por la propia recopilación (circularidad).\n", + ">\n", + "> **Siguiente paso sugerido:** validar el dolor top con entrevistas directas antes de decidir la app." ] - }, - "execution_count": 35, - "metadata": {}, - "output_type": "execute_result" } - ], - "source": [ - "raw = pd.read_csv(path)\n", - "pd.merge(df.loc[df[\"fecha_publicacion\"].isna(), [\"id\"]],\n", - " raw[[\"id\", \"fecha_publicacion\"]], on=\"id\").head(10)" - ] + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.14.4" + } }, - { - "cell_type": "code", - "execution_count": null, - "id": "77dda386", - "metadata": {}, - "outputs": [], - "source": [] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.14.4" - } - }, - "nbformat": 4, - "nbformat_minor": 5 + "nbformat": 4, + "nbformat_minor": 5 }