diff --git a/README.md b/README.md index e5cfc47..dd4c629 100644 --- a/README.md +++ b/README.md @@ -1,4 +1,4 @@ -# Introducción al Machine Learning con Python +# Análisis de datos con Python ## Requisitos @@ -7,80 +7,34 @@ - pandas - matplotlib - seaborn - - scikit-learn - Conocimientos de Python 3.9+ ## Temario -### 1. Introducción a Python para Data Science (aprox. 1h) +### Módulo 1: Manipulación de datos con Python (10 hrs) - 1. Entorno de trabajo - 2. Repaso conceptos básicos - 3. Estructuras de datos: listas, tuplas y diccionarios +En este módulo se centran los esfuerzos en saber cómo tratar la información en los formatos más extendidos con los que se almacenan los datos que se quieren analizar. Estos formatos son XML, JSON, CSV o bien datos almacenados en bases de datos relacionales o no relacionales. -### 2. EDA con Pandas (aprox. 7 horas) +- Acceso a información en Bases de Datos noSQL: MongoDB +- Acceso a información en Bases de Datos relacionales: SQLite y MySQL +- Gestión de fuentes de información: XML +- Gestión de fuentes de información: CSV y JSON +- Introducción al lenguaje de Programación Python. - 1. Estructuras de datos: `DataFrame` y `Series` - 2. Importar datos - 3. Filtrado de filas y columnas - 4. Estadísticas descriptivas - 5. Operaciones agrupadas - 6. Visualización +### Módulo 2: Data Analytics con Python (10 hrs) -### 3. Machine Learning práctico con scikit-learn (aprox. 10 horas) +Dentro de las diferentes partes del ciclo del análisis de datos, se encuentra el procesamiento de la información y la visualización de los resultados obtenidos con el objetivo de interpretarlos. Para esta tarea Python dispone de potentes librerías entre las cuales se encuentran Numpy, Pandas y Matplotlib. Así mismo Python dispone de un conjunto de funciones estadísticas que facilitan la realización de diferentes tipos de análisis estadísticos. - 1. Introducción al Machine Learning [[presentación]](https://albertotb.com/curso-inap/big_data.html) - 2. Introducción a scikit-learn - 3. Conjuntos de datos - 4. Preproceso - 5. Modelos lineales de regresión: Ridge, Lasso, Elastic Net. - 6. Modelos lineales de clasificación: regresión logística - 7. K-Vecinos próximos - 8. Árboles de decisión - 9. Ensembles: bagging y boosting - - Random Forest - - Gradient Boosting - 10. Métricas para evaluar modelos - 11. Introducción a modelos no supervisados: K-means - -### 4.Introducción a transformers (aprox. 2 horas) - - 1. Clasificación de texto - 2. Clasificación de texto zero-shot - -### 5. Despliegue de modelos (aprox. 3 horas) - - 1. Combinación de modelos - 2. Persistencia de modelos - 3. Gestión de ciclo vida de modelos: - - Despliegue de modelos con FastAPI y Docker [[repositorio]](https://github.com/albertotb/sklearn_fastapi_docker) - - Registro y análisis de parámetros y métricas - - Caso práctico guiado: Kaggle +- La librería Numpy +- La librería Pandas. +- Visualización de resultados con Matplotlib. +- Otras herramientas de análisis estadístico. ## Referencias -General - - [Python Data Science Handbook](https://jakevdp.github.io/PythonDataScienceHandbook/) -- [Machine Learning tutorials](https://github.com/ethen8181/machine-learning) -- [scikit-learn MOOC](https://www.fun-mooc.fr/en/courses/machine-learning-python-scikit-learn/) -- [Machine Learning (Loyola University Chicago)](https://github.com/dmitriydligach/PyMLSlides) -- [Machine Learning (University Wisconsin-Madison)](https://github.com/rasbt/stat479-machine-learning-fs19) -- [Applied Machine Learning (Columbia University)](https://github.com/amueller/COMS4995-s20) -- [Applied Machine Learning in Python](https://amueller.github.io/aml/) -- [Introduction to Machine Learning in Python (workshop)](https://github.com/amueller/ml-workshop-1-of-4) - [Pandas Cookbook](https://github.com/jvns/pandas-cookbook) - [Curso numpy y pandas básico](https://github.com/guiwitz/NumpyPandas_course) - [Python for Data Analysis (github)](https://github.com/wesm/pydata-book) -- [machine learning tutorials](https://github.com/ethen8181/machine-learning) - -Transformers -- Hugging Face. [NLP Course](https://huggingface.co/learn/nlp-course/chapter1/1) -- Hugging Face. [The transformer model family](https://huggingface.co/docs/transformers/en/model_summary) -- Hugging Face. [Transformers](https://huggingface.co/docs/transformers/en/index) -- Hugging Face. [Models](https://huggingface.co/models?sort=trending) -- Hugging Face. [Pretrained models](https://huggingface.co/transformers/v3.3.1/pretrained_models.html) -- [The most popular HuggingFace models](https://medium.com/@nzungize.lambert/the-most-popular-huggingface-models-d67eaaea392c) -- [Hugging Face Pre-trained Models: Find the Best One for Your Task](https://neptune.ai/blog/hugging-face-pre-trained-models-find-the-best) diff --git a/data/202212.json b/data/202212.json new file mode 100755 index 0000000..ca4774f --- /dev/null +++ b/data/202212.json @@ -0,0 +1,4 @@ +[ +{"_id": "2022-12-01T00:38:00.036831", "stations": [{"activate": 1, "name": "Puerta del Sol A", "reservations_count": 0, "light": 2, "total_bases": 30, "free_bases": 20, "number": "1a", "longitude": "-3.7018341", "no_available": 0, "address": "Puerta del Sol n\u00ba 1", "latitude": "40.4172137", "dock_bikes": 9, "id": 1}, {"activate": 1, "name": "Puerta del Sol B", "reservations_count": 0, "light": 2, "total_bases": 30, "free_bases": 15, "number": "1b", "longitude": "-3.701602938060457", 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"reservations_count": 0, "light": 1, "total_bases": 24, "free_bases": 0, "number": "227", "longitude": "-3.6659362429356372", "no_available": 0, "address": "Calle Arroyo del Olivar n\u00ba 6", "latitude": "40.39382977920336", "dock_bikes": 22, "id": 236}, {"activate": 1, "name": "San Delf\u00edn", "reservations_count": 0, "light": 1, "total_bases": 24, "free_bases": 1, "number": "228", "longitude": "-3.7080429728445563", "no_available": 0, "address": "Calle San Delf\u00edn n\u00ba 9", "latitude": "40.39440607959559", "dock_bikes": 22, "id": 235}, {"activate": 1, "name": "C.D. Concepci\u00f3n", "reservations_count": 0, "light": 2, "total_bases": 24, "free_bases": 15, "number": "229", "longitude": "-3.64835857929032", "no_available": 0, "address": "Calle Jose del Hierro n\u00ba 5", "latitude": "40.43715089959262", "dock_bikes": 9, "id": 237}, {"activate": 1, "name": "Carlota O\u2019Neill", "reservations_count": 0, "light": 1, "total_bases": 24, "free_bases": 7, "number": "230", "longitude": "-3.648958444298144", "no_available": 0, "address": "Calle Carlota O'Neill n\u00ba 32", "latitude": "40.44370542379883", "dock_bikes": 17, "id": 238}, {"activate": 1, "name": "Derechos Humanos", "reservations_count": 0, "light": 2, "total_bases": 24, "free_bases": 13, "number": "231", "longitude": "-3.6557656204708775", "no_available": 0, "address": "Calle Derechos Humanos n\u00ba 12", "latitude": "40.43965673033275", "dock_bikes": 9, "id": 239}, {"activate": 1, "name": "Jos\u00e9 Mar\u00eda Pereda", "reservations_count": 0, "light": 1, "total_bases": 24, "free_bases": 2, "number": "232", "longitude": "-3.6485306152875148", "no_available": 0, "address": "Calle Jos\u00e9 Mar\u00eda de Pereda n\u00ba 1", "latitude": "40.43272086245887", "dock_bikes": 22, "id": 240}, {"activate": 1, "name": "Marqu\u00e9s de Corbera 12", "reservations_count": 0, "light": 1, "total_bases": 24, "free_bases": 6, "number": "233", "longitude": "-3.6555552857442697", "no_available": 0, "address": "Avenida Marqu\u00e9s de Corbera n\u00ba 12", "latitude": "40.422962108947424", "dock_bikes": 16, "id": 241}, {"activate": 1, "name": "Marqu\u00e9s de Corbera 52", "reservations_count": 0, "light": 1, "total_bases": 24, "free_bases": 0, "number": "234", "longitude": "-3.651034981803642", "no_available": 0, "address": "Avenida Marqu\u00e9s de Corbera n\u00ba 52", "latitude": "40.426207143200884", "dock_bikes": 24, "id": 242}, {"activate": 1, "name": "Embajadores 191", "reservations_count": 0, "light": 1, "total_bases": 24, "free_bases": 3, "number": "235", "longitude": "-3.6903589643353483", "no_available": 0, "address": "Calle Sodio n\u00ba 1B", "latitude": "40.389258643579105", "dock_bikes": 20, "id": 243}, {"activate": 1, "name": "Paseo Imperial", "reservations_count": 0, "light": 1, "total_bases": 24, "free_bases": 3, "number": "236", "longitude": "-3.7172213778842007", "no_available": 0, "address": "Paseo Imperial n\u00ba 20", "latitude": "40.40765396169372", "dock_bikes": 21, "id": 244}, {"activate": 1, "name": "Pablo Iglesias", "reservations_count": 0, "light": 3, "total_bases": 24, "free_bases": 0, "number": "237", "longitude": "-3.710525", "no_available": 1, "address": "Calle Francisco Balseiro n\u00ba 1", "latitude": "40.451333", "dock_bikes": 0, "id": 245}, {"activate": 1, "name": "San Germ\u00e1n 5", "reservations_count": 0, "light": 0, "total_bases": 24, "free_bases": 17, "number": "238", "longitude": "-3.6929376751795306", "no_available": 0, "address": "Calle San Germ\u00e1n n\u00ba 5", "latitude": "40.45619382579544", "dock_bikes": 5, "id": 246}, {"activate": 1, "name": "Francos Rodr\u00edguez", "reservations_count": 0, "light": 2, "total_bases": 24, "free_bases": 14, "number": "239", "longitude": "-3.708002730875242", "no_available": 0, "address": "Calle Francos Rodr\u00edguez n\u00ba 62", "latitude": "40.45673408797698", "dock_bikes": 10, "id": 247}, {"activate": 1, "name": "Avenida Brasilia", "reservations_count": 0, "light": 2, "total_bases": 24, "free_bases": 13, "number": "240", "longitude": "-3.66096", "no_available": 0, "address": "Avenida de Brasilia frente al n\u00ba 9", "latitude": "40.43666", "dock_bikes": 9, "id": 248}, {"activate": 1, "name": "Camilo Jos\u00e9 Cela", "reservations_count": 0, "light": 0, "total_bases": 24, "free_bases": 20, "number": "241", "longitude": "-3.66779", "no_available": 0, "address": "Avenida de Camilo Jos\u00e9 Cela n\u00ba 23", "latitude": "40.4378", "dock_bikes": 4, "id": 249}, {"activate": 1, "name": "Avenida Bruselas", "reservations_count": 0, "light": 0, "total_bases": 24, "free_bases": 18, "number": "242", "longitude": "-3.66301", "no_available": 0, "address": "Avenida Bruselas n\u00ba 56", "latitude": "40.43865", "dock_bikes": 6, "id": 250}, {"activate": 1, "name": "Cartagena", "reservations_count": 0, "light": 0, "total_bases": 24, "free_bases": 18, "number": "243", "longitude": "-3.67012", "no_available": 0, "address": "Calle Cartagena n\u00ba 34", "latitude": "40.43503", "dock_bikes": 6, "id": 251}, {"activate": 1, "name": "Hospital Cl\u00ednico", "reservations_count": 0, "light": 0, "total_bases": 24, "free_bases": 17, "number": "244", "longitude": "-3.71757", "no_available": 0, "address": "Calle Isaac Peral n\u00ba 44", "latitude": "40.44003", "dock_bikes": 5, "id": 252}, {"activate": 1, "name": "Galileo", "reservations_count": 0, "light": 2, "total_bases": 24, "free_bases": 9, "number": "245", "longitude": "-3.71019", "no_available": 0, "address": "Calle Galileo n\u00ba 63", "latitude": "40.4364", "dock_bikes": 15, "id": 253}, {"activate": 1, "name": "Santa Engracia 87", "reservations_count": 0, "light": 2, "total_bases": 24, "free_bases": 13, "number": "246", "longitude": "-3.69928", "no_available": 0, "address": "Calle Santa Engracia n\u00ba 87", "latitude": "40.43604", "dock_bikes": 10, "id": 254}, {"activate": 1, "name": "Zurbano", "reservations_count": 0, "light": 0, "total_bases": 24, "free_bases": 21, "number": "247", "longitude": "-3.69281", "no_available": 0, "address": "Calle Zurbano n\u00ba 90", "latitude": "40.43837", "dock_bikes": 2, "id": 270}, {"activate": 1, "name": "Torre Cepsa", "reservations_count": 0, "light": 0, "total_bases": 24, "free_bases": 17, "number": "248", "longitude": "-3.68797", "no_available": 0, "address": "Calle Sinesio Delgado n\u00ba 2", "latitude": "40.47435", "dock_bikes": 6, "id": 256}, {"activate": 1, "name": "Manuel Caldeiro", "reservations_count": 0, "light": 2, "total_bases": 24, "free_bases": 16, "number": "249", "longitude": "-3.68532", "no_available": 0, "address": "Paseo de la Castellana n\u00ba 298", "latitude": "40.47938", "dock_bikes": 8, "id": 257}, {"activate": 1, "name": "Serrano 113", "reservations_count": 0, "light": 0, "total_bases": 24, "free_bases": 19, "number": "250", "longitude": "-3.68609", "no_available": 0, "address": "Calle Serrano n\u00ba 113B", "latitude": "40.44106", "dock_bikes": 5, "id": 258}, {"activate": 1, "name": "Coraz\u00f3n de Mar\u00eda", "reservations_count": 0, "light": 0, "total_bases": 24, "free_bases": 15, "number": "251", "longitude": "-3.66683", "no_available": 0, "address": "Calle Santa Hortensia n\u00ba 31", "latitude": "40.44421", "dock_bikes": 6, "id": 259}, {"activate": 1, "name": "Chamart\u00edn", "reservations_count": 0, "light": 0, "total_bases": 24, "free_bases": 17, "number": "252", "longitude": "-3.68391", "no_available": 0, "address": "Calle Rodr\u00edguez Ja\u00e9n n\u00ba 40", "latitude": "40.4716", "dock_bikes": 7, "id": 260}, {"activate": 1, "name": "Doctor Fleming", "reservations_count": 0, "light": 0, "total_bases": 21, "free_bases": 17, "number": "253", "longitude": "-3.68844", "no_available": 0, "address": "Calle Doctor Fleming n\u00ba 7", "latitude": "40.45546", "dock_bikes": 2, "id": 261}, {"activate": 1, "name": "P\u00edo XII", "reservations_count": 0, "light": 0, "total_bases": 24, "free_bases": 18, "number": "254", "longitude": "-3.67712", "no_available": 0, "address": "Avenida P\u00edo XII n\u00ba 3", "latitude": "40.46041", "dock_bikes": 6, "id": 262}, {"activate": 1, "name": "L\u00f3pez Pozas", "reservations_count": 0, "light": 2, "total_bases": 24, "free_bases": 15, "number": "255", "longitude": "-3.68514", "no_available": 0, "address": "Calle General L\u00f3pez Pozas n\u00ba 2", "latitude": "40.46361", "dock_bikes": 9, "id": 263}, {"activate": 1, "name": "Reina Victoria", "reservations_count": 0, "light": 0, "total_bases": 24, "free_bases": 18, "number": "256", "longitude": "-3.71383", "no_available": 0, "address": "Calle Beatriz de Bobadilla frente al n\u00ba 2", "latitude": "40.44635", "dock_bikes": 6, "id": 264}, {"activate": 1, "name": "INEF", "reservations_count": 0, "light": 0, "total_bases": 24, "free_bases": 24, "number": "257", "longitude": "-3.72997", "no_available": 0, "address": "Avenida Juan de Herrera frente a la calle Paul Guinard", "latitude": "40.43896", "dock_bikes": 0, "id": 265}, {"activate": 1, "name": "Ciudad Universitaria 1", "reservations_count": 0, "light": 0, "total_bases": 24, "free_bases": 21, "number": "258", "longitude": "-3.72699", "no_available": 0, "address": "Avenida de la Complutense (Metro Ciudad Universitaria)", "latitude": "40.44375", "dock_bikes": 2, "id": 266}, {"activate": 1, "name": "Ciudad Universitaria 2", "reservations_count": 0, "light": 2, "total_bases": 24, "free_bases": 11, "number": "259", "longitude": "-3.72693", "no_available": 0, "address": "Avenida de la Complutense (Metro Ciudad Universitaria)", "latitude": "40.44342", "dock_bikes": 9, "id": 267}, {"activate": 1, "name": "Facultad Biolog\u00eda", "reservations_count": 0, "light": 0, "total_bases": 24, "free_bases": 21, "number": "260", "longitude": "-3.7272945", "no_available": 0, "address": "Calle Jos\u00e9 Antonio Novais frente al n\u00ba 12", "latitude": "40.4483322", "dock_bikes": 1, "id": 268}, {"activate": 1, "name": "Facultad Derecho", "reservations_count": 0, "light": 0, "total_bases": 24, "free_bases": 21, "number": "261", "longitude": "-3.72937", "no_available": 0, "address": "Avenida Complutense n\u00ba 23", "latitude": "40.45109", "dock_bikes": 1, "id": 269}]} +] diff --git a/notebook/00-json_xml.ipynb b/notebook/00-json_xml.ipynb index ce55e6b..a0dd53c 100644 --- a/notebook/00-json_xml.ipynb +++ b/notebook/00-json_xml.ipynb @@ -33,18 +33,41 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 13, "metadata": {}, "outputs": [], "source": [ "import json\n", + "import datetime as dt\n", "\n", - "datos = { \"nombre\": \"Juan\", \"edad\": 30, \"coche\": None , \"hijos\": [\"Laura\", \"Pedro\"] }\n", + "datos = { \n", + " \"nombre\": \"Juan\", \"edad\": 30, \"coche\": None , \"hijos\": [\"Laura\", \"Pedro\"], \n", + " \"datos\": {\"dni\": \"5454545454F\", \"direccion\": \"calle anonima\"}, \"tupla\": (5.8, 90), \"fecha\": f\"{dt.datetime.today():%Y-%m-%d}\" }\n", "\n", "with open(\"datos.json\", \"w\") as fp:\n", " json.dump(datos, fp, indent=2)" ] }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "'2024-05-06 10:32:17'" + ] + }, + "execution_count": 12, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "dt.datetime.today().strftime(\"%Y-%m-%d %H:%M:%S\")" + ] + }, { "cell_type": "markdown", "metadata": {}, @@ -54,14 +77,14 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 22, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "{'nombre': 'Juan', 'edad': 30, 'coche': None, 'hijos': ['Laura', 'Pedro']}\n" + "{'nombre': 'Juan', 'edad': 30.6, 'coche': None, 'hijos': ['Laura', 'Pedro'], 'datos': {'dni': '5454545454F', 'direccion': 'calle anonima'}, 'tupla': [5.8, 90], 'fecha': '2024-05-06'}\n" ] } ], @@ -72,6 +95,26 @@ "print(fichero)" ] }, + { + "cell_type": "code", + "execution_count": 23, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "float" + ] + }, + "execution_count": 23, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "type(fichero[\"edad\"])" + ] + }, { "cell_type": "markdown", "metadata": {}, @@ -88,17 +131,17 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 31, "metadata": {}, "outputs": [], "source": [ - "with open(\"../data/Bicimad_Stations_201906.json\", encoding='latin-1') as fp:\n", + "with open(\"../data/202212.json\", encoding='latin-1') as fp:\n", " bicimad = json.load(fp)" ] }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 40, "metadata": { "scrolled": true }, @@ -106,2278 +149,36 @@ { "data": { "text/plain": [ - "{'_id': '2019-06-01T00:27:15.455361',\n", - " 'stations': [{'activate': 1,\n", - " 'name': 'Puerta del Sol A',\n", - " 'reservations_count': 0,\n", - " 'light': 1,\n", - " 'total_bases': 24,\n", - " 'free_bases': 4,\n", - " 'number': '1a',\n", - " 'longitude': '-3.7024255',\n", - " 'no_available': 0,\n", - " 'address': 'Puerta del Sol nº 1',\n", - " 'latitude': '40.4168961',\n", - " 'dock_bikes': 15,\n", - " 'id': 1},\n", - " {'activate': 1,\n", - " 'name': 'Puerta del Sol B',\n", - " 'reservations_count': 0,\n", - " 'light': 1,\n", - " 'total_bases': 24,\n", - " 'free_bases': 3,\n", - " 'number': '1b',\n", - " 'longitude': '-3.7024207',\n", - " 'no_available': 0,\n", - " 'address': 'Puerta del Sol nº 1',\n", - " 'latitude': '40.4170009',\n", - " 'dock_bikes': 17,\n", - " 'id': 2},\n", - " {'activate': 1,\n", - " 'name': 'Miguel Moya',\n", - " 'reservations_count': 1,\n", - " 'light': 0,\n", - " 'total_bases': 24,\n", - " 'free_bases': 19,\n", - " 'number': '2',\n", - " 'longitude': '-3.7058415',\n", - " 'no_available': 0,\n", - " 'address': 'Calle Miguel Moya nº 1',\n", - " 'latitude': '40.4205886',\n", - " 'dock_bikes': 2,\n", - " 'id': 3},\n", - " {'activate': 1,\n", - " 'name': 'Plaza Conde Suchil',\n", - " 'reservations_count': 0,\n", - " 'light': 1,\n", - " 'total_bases': 18,\n", - " 'free_bases': 1,\n", - " 'number': '3',\n", - " 'longitude': '-3.7069171',\n", - " 'no_available': 0,\n", - " 'address': 'Plaza del Conde Suchil nº 2-4',\n", - " 'latitude': '40.4302937',\n", - " 'dock_bikes': 15,\n", - " 'id': 4},\n", - " {'activate': 1,\n", - " 'name': 'Malasaña',\n", - " 'reservations_count': 0,\n", - " 'light': 2,\n", - " 'total_bases': 24,\n", - " 'free_bases': 11,\n", - " 'number': '4',\n", - " 'longitude': '-3.7025875',\n", - " 'no_available': 0,\n", - " 'address': 'Calle Manuela Malasaña nº 5',\n", - " 'latitude': '40.4285524',\n", - " 'dock_bikes': 11,\n", - " 'id': 5},\n", - " {'activate': 1,\n", - " 'name': 'Fuencarral',\n", - " 'reservations_count': 1,\n", - " 'light': 2,\n", - " 'total_bases': 27,\n", - " 'free_bases': 16,\n", - " 'number': '5',\n", - " 'longitude': '-3.7020599',\n", - " 'no_available': 0,\n", - " 'address': 'Calle Fuencarral nº 108',\n", - " 'latitude': '40.4285280',\n", - " 'dock_bikes': 10,\n", - " 'id': 6},\n", - " {'activate': 1,\n", - " 'name': 'Colegio Arquitectos',\n", - " 'reservations_count': 0,\n", - " 'light': 2,\n", - " 'total_bases': 24,\n", - " 'free_bases': 15,\n", - " 'number': '6',\n", - " 'longitude': '-3.6984470',\n", - " 'no_available': 0,\n", - " 'address': 'Calle Hortaleza nº 63',\n", - " 'latitude': '40.4241480',\n", - " 'dock_bikes': 8,\n", - " 'id': 7},\n", - " {'activate': 1,\n", - " 'name': 'Hortaleza',\n", - " 'reservations_count': 0,\n", - " 'light': 0,\n", - " 'total_bases': 21,\n", - " 'free_bases': 15,\n", - " 'number': '7',\n", - " 'longitude': '-3.6977715',\n", - " 'no_available': 0,\n", - " 'address': 'Calle Hortaleza nº 75',\n", - " 'latitude': '40.4251906',\n", - " 'dock_bikes': 4,\n", - " 'id': 8},\n", - " {'activate': 1,\n", - " 'name': 'Alonso Martínez',\n", - " 'reservations_count': 0,\n", - " 'light': 0,\n", - " 'total_bases': 24,\n", - " 'free_bases': 23,\n", - " 'number': '8',\n", - " 'longitude': '-3.6954403',\n", - " 'no_available': 0,\n", - " 'address': 'Plaza de Alonso Martínez nº 5',\n", - " 'latitude': '40.4278682',\n", - " 'dock_bikes': 0,\n", - " 'id': 9},\n", - " {'activate': 1,\n", - " 'name': 'Plaza de San Miguel',\n", - " 'reservations_count': 0,\n", - " 'light': 0,\n", - " 'total_bases': 24,\n", - " 'free_bases': 16,\n", - " 'number': '9',\n", - " 'longitude': '-3.7095084',\n", - " 'no_available': 0,\n", - " 'address': 'Plaza de San Miguel nº 9',\n", - " 'latitude': '40.4156057',\n", - " 'dock_bikes': 6,\n", - " 'id': 10},\n", - " {'activate': 1,\n", - " 'name': 'Marqués de la Ensenada',\n", - " 'reservations_count': 0,\n", - " 'light': 0,\n", - " 'total_bases': 24,\n", - " 'free_bases': 23,\n", - " 'number': '10',\n", - " 'longitude': '-3.6918807',\n", - " 'no_available': 0,\n", - " 'address': 'Calle Marqués de la Ensenada nº 16',\n", - " 'latitude': '40.4250863',\n", - " 'dock_bikes': 1,\n", - " 'id': 11},\n", - " {'activate': 1,\n", - " 'name': 'San Andrés',\n", - " 'reservations_count': 0,\n", - " 'light': 2,\n", - " 'total_bases': 24,\n", - " 'free_bases': 14,\n", - " 'number': '11',\n", - " 'longitude': '-3.7035918',\n", - " 'no_available': 0,\n", - " 'address': 'Calle San Andrés nº 18',\n", - " 'latitude': '40.4269483',\n", - " 'dock_bikes': 7,\n", - " 'id': 12},\n", - " {'activate': 1,\n", - " 'name': 'San Hermenegildo',\n", - " 'reservations_count': 0,\n", - " 'light': 2,\n", - " 'total_bases': 24,\n", - " 'free_bases': 9,\n", - " 'number': '12',\n", - " 'longitude': '-3.7061931',\n", - " 'no_available': 0,\n", - " 'address': 'Calle San Bernardo nº 85',\n", - " 'latitude': '40.4284246',\n", - " 'dock_bikes': 13,\n", - " 'id': 13},\n", - " {'activate': 1,\n", - 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18,\n", - " 'free_bases': 3,\n", - " 'number': '32',\n", - " 'longitude': '-3.7061032',\n", - " 'no_available': 0,\n", - " 'address': 'Plaza de la Provincia nº 1',\n", - " 'latitude': '40.4150099',\n", - " 'dock_bikes': 14,\n", - " 'id': 36},\n", - " {'activate': 1,\n", - " 'name': 'Carretas',\n", - " 'reservations_count': 0,\n", - " 'light': 3,\n", - " 'total_bases': 24,\n", - " 'free_bases': 0,\n", - " 'number': '33',\n", - " 'longitude': '-3.7031808',\n", - " 'no_available': 1,\n", - " 'address': 'Calle Carretas nº 8',\n", - " 'latitude': '40.4157138',\n", - " 'dock_bikes': 0,\n", - " 'id': 37},\n", - " {'activate': 1,\n", - " 'name': 'Jacinto Benavente',\n", - " 'reservations_count': 1,\n", - " 'light': 2,\n", - " 'total_bases': 24,\n", - " 'free_bases': 10,\n", - " 'number': '34',\n", - " 'longitude': '-3.7036825',\n", - " 'no_available': 0,\n", - " 'address': 'Plaza de Jacinto Benavente',\n", - " 'latitude': '40.4146755',\n", - " 'dock_bikes': 11,\n", - " 'id': 38},\n", - " 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" 'address': 'Plaza de San Francisco nº 5',\n", - " 'latitude': '40.4108442',\n", - " 'dock_bikes': 16,\n", - " 'id': 41},\n", - " {'activate': 1,\n", - " 'name': 'Plaza de los Carros',\n", - " 'reservations_count': 0,\n", - " 'light': 1,\n", - " 'total_bases': 24,\n", - " 'free_bases': 0,\n", - " 'number': '38',\n", - " 'longitude': '-3.7120734',\n", - " 'no_available': 0,\n", - " 'address': 'Carrera de San Francisco nº 1',\n", - " 'latitude': '40.4110406',\n", - " 'dock_bikes': 24,\n", - " 'id': 42},\n", - " {'activate': 1,\n", - " 'name': 'Plaza de la Cebada',\n", - " 'reservations_count': 0,\n", - " 'light': 3,\n", - " 'total_bases': 27,\n", - " 'free_bases': 0,\n", - " 'number': '39',\n", - " 'longitude': '-3.7088337',\n", - " 'no_available': 1,\n", - " 'address': 'Plaza de la Cebada nº 16 ',\n", - " 'latitude': '40.4112744',\n", - " 'dock_bikes': 0,\n", - " 'id': 43},\n", - " {'activate': 1,\n", - " 'name': 'Conde de Romanones',\n", - " 'reservations_count': 0,\n", - " 'light': 2,\n", - " 'total_bases': 24,\n", - " 'free_bases': 7,\n", - " 'number': '40',\n", - " 'longitude': '-3.7049407',\n", - " 'no_available': 0,\n", - " 'address': 'Plaza del Conde de Romanones nº 9',\n", - " 'latitude': '40.4138846',\n", - " 'dock_bikes': 15,\n", - " 'id': 44},\n", - " {'activate': 1,\n", - " 'name': 'Antón Martín',\n", - " 'reservations_count': 0,\n", - " 'light': 1,\n", - " 'total_bases': 21,\n", - " 'free_bases': 1,\n", - " 'number': '41',\n", - " 'longitude': '-3.6991147',\n", - " 'no_available': 0,\n", - " 'address': 'Calle Atocha nº 54',\n", - " 'latitude': '40.4122047',\n", - " 'dock_bikes': 15,\n", - " 'id': 45},\n", - " {'activate': 1,\n", - " 'name': 'Santa Isabel',\n", - " 'reservations_count': 0,\n", - " 'light': 2,\n", - " 'total_bases': 24,\n", - " 'free_bases': 7,\n", - " 'number': '42',\n", - " 'longitude': '-3.6982318',\n", - " 'no_available': 0,\n", - " 'address': 'Calle Santa Isabel nº 32',\n", - " 'latitude': '40.4107085',\n", - " 'dock_bikes': 15,\n", 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Raimundo Fernández',\n", - " 'reservations_count': 0,\n", - " 'light': 0,\n", - " 'total_bases': 24,\n", - " 'free_bases': 18,\n", - " 'number': '138',\n", - " 'longitude': '-3.6917932',\n", - " 'no_available': 0,\n", - " 'address': 'Paseo de la Castellana nº 67',\n", - " 'latitude': '40.4457414',\n", - " 'dock_bikes': 5,\n", - " 'id': 154},\n", - " {'activate': 1,\n", - " 'name': 'José Gutiérrez Abascal ',\n", - " 'reservations_count': 0,\n", - " 'light': 0,\n", - " 'total_bases': 24,\n", - " 'free_bases': 24,\n", - " 'number': '139',\n", - " 'longitude': '-3.6907784',\n", - " 'no_available': 0,\n", - " 'address': 'Calle José Gutiérrez Abascal nº 2',\n", - " 'latitude': '40.4396792',\n", - " 'dock_bikes': 0,\n", - " 'id': 159},\n", - " {'activate': 1,\n", - " 'name': 'Velázquez 130',\n", - " 'reservations_count': 0,\n", - " 'light': 0,\n", - " 'total_bases': 24,\n", - " 'free_bases': 23,\n", - " 'number': '140',\n", - " 'longitude': '-3.6828620',\n", - " 'no_available': 0,\n", - " 'address': 'Calle Velázquez nº 130',\n", - " 'latitude': '40.4379444',\n", - " 'dock_bikes': 0,\n", - " 'id': 162},\n", - " {'activate': 1,\n", - " 'name': 'Pº Castellana - Glorieta de Emilio Castelar',\n", - " 'reservations_count': 0,\n", - " 'light': 2,\n", - " 'total_bases': 12,\n", - " 'free_bases': 7,\n", - " 'number': '141',\n", - " 'longitude': '-3.6892368',\n", - " 'no_available': 0,\n", - " 'address': 'Paseo de la Castellana nº 43',\n", - " 'latitude': '40.4355143',\n", - " 'dock_bikes': 5,\n", - " 'id': 165},\n", - " {'activate': 1,\n", - " 'name': 'Castellana 42',\n", - " 'reservations_count': 0,\n", - " 'light': 2,\n", - " 'total_bases': 24,\n", - " 'free_bases': 12,\n", - " 'number': '142',\n", - " 'longitude': '-3.6879154',\n", - " 'no_available': 0,\n", - " 'address': 'Paseo de la Castellana nº 42',\n", - " 'latitude': '40.4334087',\n", - " 'dock_bikes': 12,\n", - " 'id': 167},\n", - " {'activate': 1,\n", - " 'name': 'Diego de León 52',\n", - " 'reservations_count': 0,\n", - " 'light': 0,\n", - " 'total_bases': 24,\n", - " 'free_bases': 24,\n", - " 'number': '143',\n", - " 'longitude': '-3.6784920',\n", - " 'no_available': 0,\n", - " 'address': 'Calle Diego de León nº 52',\n", - " 'latitude': '40.4345973',\n", - " 'dock_bikes': 0,\n", - " 'id': 166},\n", - " {'activate': 1,\n", - " 'name': 'Juan Bravo 50',\n", - " 'reservations_count': 0,\n", - " 'light': 0,\n", - " 'total_bases': 24,\n", - " 'free_bases': 18,\n", - " 'number': '144',\n", - " 'longitude': '-3.6758555',\n", - " 'no_available': 0,\n", - " 'address': 'Calle Juan Bravo nº 50',\n", - " 'latitude': '40.4323655',\n", - " 'dock_bikes': 5,\n", - " 'id': 170},\n", - " {'activate': 1,\n", - " 'name': 'Ortega y Gasset 87',\n", - " 'reservations_count': 0,\n", - " 'light': 2,\n", - " 'total_bases': 24,\n", - " 'free_bases': 11,\n", - " 'number': '145',\n", - " 'longitude': '-3.6712823',\n", - " 'no_available': 0,\n", - " 'address': 'Calle Ortega y Gasset nº 87',\n", - " 'latitude': '40.4298870',\n", - " 'dock_bikes': 11,\n", - " 'id': 171},\n", - " {'activate': 1,\n", - " 'name': 'María Francisca 1',\n", - " 'reservations_count': 1,\n", - " 'light': 0,\n", - " 'total_bases': 18,\n", - " 'free_bases': 13,\n", - " 'number': '146',\n", - " 'longitude': '-3.6787169',\n", - " 'no_available': 0,\n", - " 'address': 'Calle María Francisca nº 1',\n", - " 'latitude': '40.4442258',\n", - " 'dock_bikes': 3,\n", - " 'id': 155},\n", - " {'activate': 1,\n", - " 'name': 'Doctor Arce 45',\n", - " 'reservations_count': 0,\n", - " 'light': 0,\n", - " 'total_bases': 24,\n", - " 'free_bases': 20,\n", - " 'number': '147',\n", - " 'longitude': '-3.6797296',\n", - " 'no_available': 0,\n", - " 'address': 'Avenida del Doctor Arce nº 45',\n", - " 'latitude': '40.4483269',\n", - " 'dock_bikes': 3,\n", - " 'id': 148},\n", - " {'activate': 1,\n", - " 'name': 'Serrano 210',\n", - " 'reservations_count': 0,\n", - " 'light': 0,\n", - " 'total_bases': 24,\n", - " 'free_bases': 20,\n", - " 'number': '148',\n", - " 'longitude': '-3.6817962',\n", - " 'no_available': 0,\n", - " 'address': 'Calle Serrano nº 210',\n", - " 'latitude': '40.4510188',\n", - " 'dock_bikes': 4,\n", - " 'id': 144},\n", - " {'activate': 1,\n", - " 'name': 'Paseo de la Habana 42',\n", - " 'reservations_count': 0,\n", - " 'light': 2,\n", - " 'total_bases': 24,\n", - " 'free_bases': 11,\n", - " 'number': '149',\n", - " 'longitude': '-3.6881689',\n", - " 'no_available': 0,\n", - " 'address': 'Paseo de la Habana nº 42',\n", - " 'latitude': '40.4498613',\n", - " 'dock_bikes': 12,\n", - " 'id': 146},\n", - " {'activate': 1,\n", - " 'name': 'Castellana frente a Hermanos Pinzón',\n", - " 'reservations_count': 0,\n", - " 'light': 0,\n", - " 'total_bases': 24,\n", - " 'free_bases': 17,\n", - " 'number': '150',\n", - " 'longitude': '-3.6905604',\n", - " 'no_available': 0,\n", - " 'address': 'Paseo de la Castellana nº 124',\n", - " 'latitude': '40.4488924',\n", - " 'dock_bikes': 6,\n", - " 'id': 147},\n", - " {'activate': 1,\n", - " 'name': 'Orense 12',\n", - " 'reservations_count': 0,\n", - " 'light': 0,\n", - " 'total_bases': 24,\n", - " 'free_bases': 18,\n", - " 'number': '151',\n", - " 'longitude': '-3.6952860',\n", - " 'no_available': 0,\n", - " 'address': 'Calle Orense nº 12',\n", - " 'latitude': '40.4480662',\n", - " 'dock_bikes': 6,\n", - " 'id': 145},\n", - " {'activate': 1,\n", - " 'name': 'General Perón 1',\n", - " 'reservations_count': 0,\n", - " 'light': 1,\n", - " 'total_bases': 24,\n", - " 'free_bases': 5,\n", - " 'number': '152',\n", - " 'longitude': '-3.6990077',\n", - " 'no_available': 0,\n", - " 'address': 'Avenida del General Perón nº 1-4',\n", - " 'latitude': '40.4527164',\n", - " 'dock_bikes': 18,\n", - " 'id': 142},\n", - " {'activate': 1,\n", - " 'name': 'General Perón con Poeta Joan Maragall',\n", - " 'reservations_count': 0,\n", - " 'light': 0,\n", - " 'total_bases': 24,\n", - " 'free_bases': 21,\n", - " 'number': '153',\n", - " 'longitude': '-3.6926510',\n", - " 'no_available': 0,\n", - " 'address': 'Avenida del General Perón nº 36',\n", - " 'latitude': '40.4522938',\n", - " 'dock_bikes': 2,\n", - " 'id': 143},\n", - " {'activate': 1,\n", - " 'name': 'Orense 36',\n", - " 'reservations_count': 0,\n", - " 'light': 0,\n", - " 'total_bases': 24,\n", - " 'free_bases': 23,\n", - " 'number': '154',\n", - " 'longitude': '-3.6946218',\n", - " 'no_available': 0,\n", - " 'address': 'Calle Orense nº 36',\n", - " 'latitude': '40.4548456',\n", - " 'dock_bikes': 1,\n", - " 'id': 141},\n", - " {'activate': 1,\n", - " 'name': 'San Germán',\n", - " 'reservations_count': 0,\n", - " 'light': 2,\n", - " 'total_bases': 24,\n", - " 'free_bases': 12,\n", - " 'number': '155',\n", - " 'longitude': '-3.7009675',\n", - " 'no_available': 0,\n", - " 'address': 'Calle del General Yagüe nº 57',\n", - " 'latitude': '40.4572824',\n", - " 'dock_bikes': 12,\n", - " 'id': 139},\n", - " {'activate': 1,\n", - " 'name': 'Sor Ángela de la Cruz',\n", - " 'reservations_count': 0,\n", - " 'light': 0,\n", - " 'total_bases': 24,\n", - " 'free_bases': 24,\n", - " 'number': '156',\n", - " 'longitude': '-3.6915330',\n", - " 'no_available': 0,\n", - " 'address': 'Calle Sor Ángela de la Cruz nº 2',\n", - " 'latitude': '40.4592351',\n", - " 'dock_bikes': 0,\n", - " 'id': 140},\n", - " {'activate': 1,\n", - " 'name': 'Castellana 164',\n", - " 'reservations_count': 1,\n", - " 'light': 2,\n", - " 'total_bases': 24,\n", - " 'free_bases': 16,\n", - " 'number': '157',\n", - " 'longitude': '-3.6894151',\n", - " 'no_available': 0,\n", - " 'address': 'Paseo de la Castellana nº 164',\n", - " 'latitude': '40.4591366',\n", - " 'dock_bikes': 7,\n", - " 'id': 137},\n", - " {'activate': 1,\n", - " 'name': 'Alberto Alcocer',\n", - " 'reservations_count': 0,\n", - " 'light': 0,\n", - " 'total_bases': 24,\n", - " 'free_bases': 24,\n", - " 'number': '158',\n", - " 'longitude': '-3.6847150',\n", - " 'no_available': 0,\n", - " 'address': 'Avenida de Alberto Alcocer nº 22',\n", - " 'latitude': '40.4585318',\n", - " 'dock_bikes': 0,\n", - " 'id': 138},\n", - " {'activate': 1,\n", - " 'name': 'Paseo de la Habana 63',\n", - " 'reservations_count': 0,\n", - " 'light': 2,\n", - " 'total_bases': 24,\n", - " 'free_bases': 12,\n", - " 'number': '159',\n", - " 'longitude': '-3.6835926',\n", - " 'no_available': 0,\n", - " 'address': 'Paseo de la Habana nº 63',\n", - " 'latitude': '40.4543852',\n", - " 'dock_bikes': 10,\n", - " 'id': 173},\n", - " {'activate': 1,\n", - " 'name': 'Colombia',\n", - " 'reservations_count': 0,\n", - " 'light': 0,\n", - " 'total_bases': 24,\n", - " 'free_bases': 17,\n", - " 'number': '160',\n", - " 'longitude': '-3.6763439',\n", - " 'no_available': 0,\n", - " 'address': 'Calle Colombia nº 7',\n", - " 'latitude': '40.4572466',\n", - " 'dock_bikes': 7,\n", - " 'id': 172},\n", - " {'activate': 1,\n", - " 'name': 'Paseo de la Florida',\n", - " 'reservations_count': 1,\n", - " 'light': 1,\n", - " 'total_bases': 27,\n", - " 'free_bases': 6,\n", - " 'number': '161',\n", - " 'longitude': '-3.7218482',\n", - " 'no_available': 0,\n", - " 'address': 'Paseo de la Florida nº 8',\n", - " 'latitude': '40.4220812',\n", - " 'dock_bikes': 20,\n", - " 'id': 132},\n", - " {'activate': 1,\n", - " 'name': 'Metro Pirámides',\n", - " 'reservations_count': 0,\n", - " 'light': 2,\n", - " 'total_bases': 24,\n", - " 'free_bases': 7,\n", - " 'number': '162',\n", - " 'longitude': '-3.7108108',\n", - " 'no_available': 0,\n", - " 'address': 'Paseo de los Olmos nº 28',\n", - " 'latitude': '40.4034076',\n", - " 'dock_bikes': 16,\n", - " 'id': 133},\n", - " {'activate': 1,\n", - " 'name': 'Paseo de la Esperanza',\n", - " 'reservations_count': 0,\n", - " 'light': 1,\n", - " 'total_bases': 21,\n", - " 'free_bases': 4,\n", - " 'number': '163',\n", - " 'longitude': '-3.7064516',\n", - " 'no_available': 0,\n", - " 'address': 'Paseo de la Esperanza nº 2',\n", - " 'latitude': '40.4035988',\n", - " 'dock_bikes': 17,\n", - " 'id': 134},\n", - " {'activate': 1,\n", - " 'name': 'Paseo de las Delicias',\n", - " 'reservations_count': 1,\n", - " 'light': 2,\n", - " 'total_bases': 24,\n", - " 'free_bases': 12,\n", - " 'number': '164',\n", - " 'longitude': '-3.6945025',\n", - " 'no_available': 0,\n", - " 'address': 'Paseo de las Delicias nº 92-94',\n", - " 'latitude': '40.3972616',\n", - " 'dock_bikes': 11,\n", - " 'id': 136},\n", - " {'activate': 1,\n", - " 'name': 'Entrada Matadero',\n", - " 'reservations_count': 2,\n", - " 'light': 1,\n", - " 'total_bases': 27,\n", - " 'free_bases': 7,\n", - " 'number': '165',\n", - " 'longitude': '-3.6971829',\n", - " 'no_available': 0,\n", - " 'address': 'Paseo de la Chopera nº 14',\n", - " 'latitude': '40.3919385',\n", - " 'dock_bikes': 16,\n", - " 'id': 135},\n", - " {'activate': 1,\n", - " 'name': 'Segovia 26',\n", - " 'reservations_count': 0,\n", - " 'light': 0,\n", - " 'total_bases': 24,\n", - " 'free_bases': 17,\n", - " 'number': '166',\n", - " 'longitude': '-3.7135833',\n", - " 'no_available': 0,\n", - " 'address': 'Calle Segovia, 26',\n", - " 'latitude': '40.4138333',\n", - " 'dock_bikes': 6,\n", - " 'id': 174},\n", - " {'activate': 1,\n", - " 'name': 'Segovia 45',\n", - " 'reservations_count': 0,\n", - " 'light': 3,\n", - " 'total_bases': 24,\n", - " 'free_bases': 15,\n", - " 'number': '167',\n", - " 'longitude': '-3.717487',\n", - " 'no_available': 1,\n", - " 'address': 'Calle Segovia, 45',\n", - " 'latitude': '40.413736',\n", - " 'dock_bikes': 8,\n", - " 'id': 175},\n", - " {'activate': 1,\n", - " 'name': 'Parque Roma',\n", - " 'reservations_count': 0,\n", - " 'light': 2,\n", - " 'total_bases': 24,\n", - " 'free_bases': 15,\n", - " 'number': '182',\n", - " 'longitude': '-3.6657777',\n", - " 'no_available': 0,\n", - " 'address': 'Sainz de Baranda, frente al nº 107',\n", - " 'latitude': '40.4186666',\n", - " 'dock_bikes': 9,\n", - " 'id': 190},\n", - " {'activate': 1,\n", - " 'name': 'San Francisco de Sales',\n", - " 'reservations_count': 0,\n", - " 'light': 1,\n", - " 'total_bases': 24,\n", - " 'free_bases': 6,\n", - " 'number': '203',\n", - " 'longitude': '-3.7144722',\n", - " 'no_available': 0,\n", - " 'address': 'General Ampudia, 2',\n", - " 'latitude': '40.44175',\n", - " 'dock_bikes': 18,\n", - " 'id': 211}]}" + "'2022-12-01T00:38:00.036831'" + ] + }, + "execution_count": 40, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "bicimad[0][\"_id\"]" + ] + }, + { + "cell_type": "code", + "execution_count": 44, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "30" ] }, - "execution_count": 7, + "execution_count": 44, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "bicimad" + "bicimad[0][\"stations\"][20][\"total_bases\"]" ] }, { @@ -2405,49 +206,18 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": 1, "metadata": {}, "outputs": [ { - "name": "stdout", - "output_type": "stream", - "text": [ - "\n", - "\n", - " \n", - " \n", - " The Cat in the Hat\n", - " \n", - " \n", - " Dr. Seuss\n", - " \n", - " \n", - " 6.99\n", - " \n", - " \n", - " \n", - " \n", - " Ender's Game\n", - " \n", - " \n", - " Orson Scott Card\n", - " \n", - " \n", - " 8.99\n", - " \n", - " \n", - " \n", - " \n", - " Prey\n", - " \n", - " \n", - " Michael Crichton\n", - " \n", - " \n", - " 9.35\n", - " \n", - " \n", - "\n" + "ename": "FileNotFoundError", + "evalue": "[Errno 2] No such file or directory: '../../data/books.xml'", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mFileNotFoundError\u001b[0m Traceback (most recent call last)", + "Cell \u001b[0;32mIn [1], line 5\u001b[0m\n\u001b[1;32m 1\u001b[0m \u001b[38;5;66;03m# Ejemplo adaptado de http://www2.hawaii.edu/~takebaya/cent110/xml_parse/xml_parse.html\u001b[39;00m\n\u001b[1;32m 3\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mbs4\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m BeautifulSoup\n\u001b[0;32m----> 5\u001b[0m \u001b[38;5;28;01mwith\u001b[39;00m \u001b[38;5;28mopen\u001b[39m(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m../../data/books.xml\u001b[39m\u001b[38;5;124m\"\u001b[39m, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mr\u001b[39m\u001b[38;5;124m\"\u001b[39m) \u001b[38;5;28;01mas\u001b[39;00m fp:\n\u001b[1;32m 6\u001b[0m soup \u001b[38;5;241m=\u001b[39m BeautifulSoup(fp, \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mxml\u001b[39m\u001b[38;5;124m'\u001b[39m)\n\u001b[1;32m 8\u001b[0m \u001b[38;5;28mprint\u001b[39m(soup\u001b[38;5;241m.\u001b[39mprettify())\n", + "\u001b[0;31mFileNotFoundError\u001b[0m: [Errno 2] No such file or directory: '../../data/books.xml'" ] } ], @@ -2581,8 +351,9 @@ "#### Ejercicio\n", "\n", "Dado el siguiente conjunto de datos: [Alojamientos de la ciudad de Madrid (www.esmadrid.com)](https://datos.madrid.es/portal/site/egob/menuitem.c05c1f754a33a9fbe4b2e4b284f1a5a0/?vgnextoid=df42a73970504510VgnVCM2000001f4a900aRCRD&vgnextchannel=374512b9ace9f310VgnVCM100000171f5a0aRCRD&vgnextfmt=default)\n", - " 1. Leer el fichero XML en Python\n", - " 2. Parsear el XML para obtener una lista de diccionarios con todos los alojamientos y la siguiente información:\n", + "\n", + " 1. Leer el fichero XML en Python\n", + " 2. Parsear el XML para obtener una lista de diccionarios con todos los alojamientos y la siguiente información:\n", " \n", " { 'name': nombre, 'cp': codigo_postal }" ] @@ -2616,9 +387,7 @@ { "cell_type": "code", "execution_count": 15, - "metadata": { - "scrolled": false - }, + "metadata": {}, "outputs": [], "source": [ "with open(\"../data/alojamientos.json\", \"w\") as fp:\n", @@ -2634,14 +403,14 @@ }, { "cell_type": "code", - "execution_count": 16, + "execution_count": 47, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "2020-01-01\n" + "2024-01-01\n" ] } ], @@ -2656,8 +425,8 @@ " for n in range(int((end_date - start_date).days)):\n", " yield start_date + timedelta(n)\n", " \n", - "start_date = date(2020, 1, 1)\n", - "end_date = date(2020, 1, 2)\n", + "start_date = date(2024, 1, 1)\n", + "end_date = date(2024, 1, 2)\n", "\n", "res = []\n", "fecha = []\n", @@ -2681,11 +450,38 @@ " \n", " time.sleep(5)" ] + }, + { + "cell_type": "code", + "execution_count": 48, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 48, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "r_evo" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] } ], "metadata": { "kernelspec": { - "display_name": "Python 3", + "display_name": "Python 3 (ipykernel)", "language": "python", "name": "python3" }, @@ -2699,9 +495,9 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.7.4" + "version": "3.9.7" } }, "nbformat": 4, - "nbformat_minor": 2 + "nbformat_minor": 4 } diff --git a/notebook/01-numpy.ipynb b/notebook/01-numpy.ipynb index 75b7fab..a6aacfe 100644 --- a/notebook/01-numpy.ipynb +++ b/notebook/01-numpy.ipynb @@ -19,14 +19,60 @@ }, { "cell_type": "code", - "execution_count": 1, + "execution_count": 41, + "metadata": {}, + "outputs": [], + "source": [ + "a = np.array([100, 200, 300])\n", + "b = np.array([0, 0.1, 0.2])" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "metadata": {}, + "outputs": [], + "source": [ + "l = [[1, 2, 3], [4, 5, 6], [7, 8, 9]]" + ] + }, + { + "cell_type": "code", + "execution_count": 20, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "1.18.1\n" + "Requirement already satisfied: numpy in /home/alberto/miniconda3/envs/curso_idneo/lib/python3.11/site-packages (1.25.0)\n", + "Collecting numpy\n", + " Using cached numpy-1.26.4-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (61 kB)\n", + "Using cached numpy-1.26.4-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (18.3 MB)\n", + "Installing collected packages: numpy\n", + " Attempting uninstall: numpy\n", + " Found existing installation: numpy 1.25.0\n", + " Uninstalling numpy-1.25.0:\n", + " Successfully uninstalled numpy-1.25.0\n", + "Successfully installed numpy-1.26.4\n", + "Note: you may need to restart the kernel to use updated packages.\n" + ] + } + ], + "source": [ + "%pip install --upgrade numpy" + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "1.26.4\n" ] }, { @@ -37,7 +83,7 @@ " [7, 8, 9]])" ] }, - "execution_count": 1, + "execution_count": 22, "metadata": {}, "output_type": "execute_result" } @@ -49,13 +95,33 @@ "# ver version\n", "print(np.version.version)\n", "\n", - "data = np.array([[1, 2, 3], [4, 5, 6], [7, 8, 9]])\n", + "data = np.array(l)\n", "data" ] }, { "cell_type": "code", - "execution_count": 2, + "execution_count": 24, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "numpy.ndarray" + ] + }, + "execution_count": 24, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "type(data)" + ] + }, + { + "cell_type": "code", + "execution_count": 25, "metadata": {}, "outputs": [ { @@ -97,7 +163,7 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 28, "metadata": { "hide_input": false }, @@ -108,7 +174,7 @@ "array([1, 2, 3])" ] }, - "execution_count": 3, + "execution_count": 28, "metadata": {}, "output_type": "execute_result" } @@ -119,7 +185,7 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 31, "metadata": {}, "outputs": [ { @@ -128,7 +194,7 @@ "array([1., 2., 3.])" ] }, - "execution_count": 4, + "execution_count": 31, "metadata": {}, "output_type": "execute_result" } @@ -232,6 +298,26 @@ "a + 1" ] }, + { + "cell_type": "code", + "execution_count": 49, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "array([10., 20., 30.])" + ] + }, + "execution_count": 49, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "a * 0.1" + ] + }, { "cell_type": "code", "execution_count": 9, @@ -330,7 +416,7 @@ }, { "cell_type": "code", - "execution_count": 13, + "execution_count": 54, "metadata": {}, "outputs": [ { @@ -339,7 +425,7 @@ "array([False, True, False, False])" ] }, - "execution_count": 13, + "execution_count": 54, "metadata": {}, "output_type": "execute_result" } @@ -380,7 +466,7 @@ }, { "cell_type": "code", - "execution_count": 15, + "execution_count": 57, "metadata": {}, "outputs": [ { @@ -389,7 +475,7 @@ "array([False, False, False, False])" ] }, - "execution_count": 15, + "execution_count": 57, "metadata": {}, "output_type": "execute_result" } @@ -432,23 +518,23 @@ }, { "cell_type": "code", - "execution_count": 17, + "execution_count": 59, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "array([-0.95892427, 0.6569866 , 0.14112001, -0.7568025 ])" + "array([1.60943791, 1.94591015, 1.09861229, 1.38629436])" ] }, - "execution_count": 17, + "execution_count": 59, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# funcion seno\n", - "np.sin(a)" + "np.log(a)" ] }, { @@ -466,6 +552,58 @@ "Referencia: https://docs.scipy.org/doc/numpy/user/basics.indexing.html" ] }, + { + "cell_type": "code", + "execution_count": 63, + "metadata": {}, + "outputs": [], + "source": [ + "a = np.array(l)" + ] + }, + { + "cell_type": "code", + "execution_count": 68, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "array([[1, 2, 3],\n", + " [4, 5, 6],\n", + " [7, 8, 9]])" + ] + }, + "execution_count": 68, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "a" + ] + }, + { + "cell_type": "code", + "execution_count": 75, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "array([[2, 3],\n", + " [5, 6]])" + ] + }, + "execution_count": 75, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "a[0:2, 1:3]" + ] + }, { "cell_type": "code", "execution_count": 18, @@ -639,25 +777,25 @@ }, { "cell_type": "code", - "execution_count": 26, + "execution_count": 76, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "array([[-1.42597456, -0.57255641, 0.83790582],\n", - " [ 1.0943617 , 0.80581683, 1.70927155],\n", - " [ 1.18626906, -1.08059436, -2.5955867 ],\n", - " [ 0.18822497, 0.44522526, -1.19017704],\n", - " [-0.3406656 , 0.52179978, 0.43459118],\n", - " [-1.05314645, -0.72051146, -0.69634866],\n", - " [-0.45622233, 0.9132204 , -0.53268403],\n", - " [ 0.27657176, 0.09320174, 1.21616545],\n", - " [ 0.49531176, 0.18362332, 1.23074918],\n", - " [-0.86886025, -0.26970221, 0.30215121]])" + "array([[-0.81200984, 0.08101969, 0.82641132],\n", + " [ 0.76156528, 1.25951878, 0.10577233],\n", + " [-1.9265996 , -0.97453294, -1.52136383],\n", + " [ 1.51132818, -0.37028181, 0.61584383],\n", + " [-0.02534348, 0.11736762, 0.52051267],\n", + " [ 0.17917435, 0.61631691, -1.26808268],\n", + " [ 0.69192885, -1.58370056, 0.26056334],\n", + " [ 0.38496184, 0.78686547, -0.02195302],\n", + " [-1.5097686 , -0.78237073, -0.37735199],\n", + " [-0.31739265, -0.85253668, -1.86703479]])" ] }, - "execution_count": 26, + "execution_count": 76, "metadata": {}, "output_type": "execute_result" } @@ -670,54 +808,54 @@ }, { "cell_type": "code", - "execution_count": 27, + "execution_count": 78, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "array([[False, False, True],\n", + "array([[False, True, True],\n", " [ True, True, True],\n", - " [ True, False, False],\n", - " [ True, True, False],\n", + " [False, False, False],\n", + " [ True, False, True],\n", " [False, True, True],\n", + " [ True, True, False],\n", + " [ True, False, True],\n", + " [ True, True, False],\n", " [False, False, False],\n", - " [False, True, False],\n", - " [ True, True, True],\n", - " [ True, True, True],\n", - " [False, False, True]])" + " [False, False, False]])" ] }, - "execution_count": 27, + "execution_count": 78, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "data > 0 " + "mask = data > 0 \n", + "mask" ] }, { "cell_type": "code", - "execution_count": 28, + "execution_count": 79, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "array([0.83790582, 1.0943617 , 0.80581683, 1.70927155, 1.18626906,\n", - " 0.18822497, 0.44522526, 0.52179978, 0.43459118, 0.9132204 ,\n", - " 0.27657176, 0.09320174, 1.21616545, 0.49531176, 0.18362332,\n", - " 1.23074918, 0.30215121])" + "array([0.08101969, 0.82641132, 0.76156528, 1.25951878, 0.10577233,\n", + " 1.51132818, 0.61584383, 0.11736762, 0.52051267, 0.17917435,\n", + " 0.61631691, 0.69192885, 0.26056334, 0.38496184, 0.78686547])" ] }, - "execution_count": 28, + "execution_count": 79, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "data[ data > 0 ]" + "data[mask]" ] }, { @@ -888,23 +1026,124 @@ }, { "cell_type": "code", - "execution_count": 35, + "execution_count": 93, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "45" + "array([0.4170307 , 0.33172547, 0.90955131, 0.15107751, 0.55304426,\n", + " 0.15976376, 0.50210545, 0.00157173, 0.22999347, 0.34792859])" ] }, - "execution_count": 35, + "execution_count": 93, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "a = np.arange(10)\n", - "a.sum()" + "a = np.random.random(10)\n", + "a" + ] + }, + { + "cell_type": "code", + "execution_count": 99, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Help on method_descriptor:\n", + "\n", + "sum(...) unbound numpy.ndarray method\n", + " a.sum(axis=None, dtype=None, out=None, keepdims=False, initial=0, where=True)\n", + " \n", + " Return the sum of the array elements over the given axis.\n", + " \n", + " Refer to `numpy.sum` for full documentation.\n", + " \n", + " See Also\n", + " --------\n", + " numpy.sum : equivalent function\n", + "\n" + ] + } + ], + "source": [ + "help(np.ndarray.sum)" + ] + }, + { + "cell_type": "code", + "execution_count": 96, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "0.0015717294703939677" + ] + }, + "execution_count": 96, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "a.min()" + ] + }, + { + "cell_type": "code", + "execution_count": 102, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "array([[0.82483322, 0.57458787, 0.03345126, 0.65303345, 0.18483313],\n", + " [0.39852707, 0.7417866 , 0.1453667 , 0.93816458, 0.28665 ],\n", + " [0.33690125, 0.58407779, 0.32918486, 0.28275426, 0.19782586],\n", + " [0.78234101, 0.54217885, 0.83973549, 0.08659032, 0.10161197],\n", + " [0.41232612, 0.63273236, 0.06950606, 0.64051133, 0.93306191],\n", + " [0.67805819, 0.28439349, 0.52555155, 0.70656481, 0.39972821],\n", + " [0.25216785, 0.12243728, 0.30592039, 0.16930887, 0.77173047],\n", + " [0.72236651, 0.34406027, 0.85702295, 0.6050905 , 0.40671129],\n", + " [0.34817317, 0.56040245, 0.69128401, 0.94413776, 0.13086632],\n", + " [0.61082619, 0.04838095, 0.89836346, 0.15682736, 0.89400573]])" + ] + }, + "execution_count": 102, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "a = np.random.random(size=(10, 5))\n", + "a" + ] + }, + { + "cell_type": "code", + "execution_count": 112, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "array([0.29697978, 0.29394104, 0.12884259, 0.32316638, 0.28664839,\n", + " 0.16111416, 0.23259651, 0.19135698, 0.27953246, 0.35933087])" + ] + }, + "execution_count": 112, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "a.std(axis=1)" ] }, { @@ -1050,6 +1289,27 @@ "x.argmax()" ] }, + { + "cell_type": "code", + "execution_count": 123, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "array([ True, False, True, False, False, True, False, False, False,\n", + " False])" + ] + }, + "execution_count": 123, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "np.isnan(a).any(axis=1)" + ] + }, { "cell_type": "code", "execution_count": 43, @@ -2814,7 +3074,7 @@ ], "metadata": { "kernelspec": { - "display_name": "Python 3", + "display_name": "Python 3 (ipykernel)", "language": "python", "name": "python3" }, @@ -2828,9 +3088,9 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.7.6" + "version": "3.11.9" } }, "nbformat": 4, - "nbformat_minor": 2 + "nbformat_minor": 4 } diff --git a/notebook/02_matplotlib_full.ipynb b/notebook/02_matplotlib_full.ipynb new file mode 100755 index 0000000..e6e33a1 --- /dev/null +++ b/notebook/02_matplotlib_full.ipynb @@ -0,0 +1,1321 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": { + "id": "-uIM7LJr1VUE" + }, + "source": [ + "# Matplotlib" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "2xYbuvAA1VUF" + }, + "source": [ + "La librería `matplotlib` contiene funciones para hacer gráficos con gran variedad de formatos y estilos.\n", + "\n", + "Referencia: http://matplotlib.org/ \n", + "FAQ : https://matplotlib.org/faq/usage_faq.html \n", + "Notebook ejemplos: http://nbviewer.jupyter.org/github/jrjohansson/scientific-python-lectures/blob/master/Lecture-4-Matplotlib.ipynb" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "The most basic function is [`plt.plot()`](https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.plot.html). This will plot a line chart between two sequences:" + ] + }, + { + "cell_type": "code", + "execution_count": 105, + "metadata": { + "id": "MXx2j6OL1VUG" + }, + "outputs": [], + "source": [ + "import matplotlib.pyplot as plt\n", + "import numpy as np\n", + "import pandas as pd" + ] + }, + { + "cell_type": "code", + "execution_count": 101, + "metadata": { + "id": "yZNPIoi21VUH", + "outputId": "7f6fadbd-6818-4fd9-f966-f1e734c06813" + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "0 -10\n", + "1 -9\n", + "2 -8\n", + "3 -7\n", + "4 -6\n", + "5 -5\n", + "6 -4\n", + "7 -3\n", + "8 -2\n", + "9 -1\n", + "10 0\n", + "11 1\n", + "12 2\n", + "13 3\n", + "14 4\n", + "15 5\n", + "16 6\n", + "17 7\n", + "18 8\n", + "19 9\n", + "20 10\n", + "dtype: int64\n" + ] + } + ], + "source": [ + "x = pd.Series(range(-10, 11))\n", + "y = x ** 2\n", + "\n", + "print(x)" + ] + }, + { + "cell_type": "code", + "execution_count": 104, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "[]" + ] + }, + "execution_count": 104, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", 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\n", 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plt.plot(x, y, color=\"red\")\n", + "plt.title(\"x**2 function\")\n", + "plt.xlabel(\"x\")\n", + "plt.ylabel(\"x**2\")\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 106, + "metadata": { + "id": "Qw9ihQEe1VUH", + "outputId": "bb92e82b-b246-45ca-e6aa-6d25f2ec8638" + }, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plt.plot(x, y, color=\"red\", label=\"x^2\")\n", + "plt.plot(x, x ** 3, color=\"blue\", label=\"x^3\")\n", + "plt.title(\"Square vs cubic\")\n", + "plt.xlabel(\"x\")\n", + "plt.legend()\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 71, + "metadata": { + "id": "cWcDLH8t1VUH", + "outputId": "b5f71242-d076-495d-b995-b4ae9ad7fb37" + }, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plt.plot(x, y, color=\"red\", label=\"x**2\")\n", + "plt.plot(x, x ** 3, color=\"blue\", label=\"x**3\")\n", + "plt.title(\"Square vs cubic\")\n", + "plt.xlabel(\"x\")\n", + "plt.xlim([-10, 10])\n", + "plt.ylim([-100, 100])\n", + "plt.legend()\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 72, + "metadata": {}, + "outputs": [], + "source": [ + "x1 = np.arange(0, 2*np.pi, 0.1)\n", + "y1 = np.sin(x1)" + ] + }, + { + "cell_type": "code", + "execution_count": 73, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Text(0, 0.5, 'sin(x)')" + ] + }, + "execution_count": 73, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plt.figure()\n", + "plt.plot(x1, y1, 'r')\n", + "plt.title('Funcion seno')\n", + "plt.xlabel('x')\n", + "plt.ylabel('sin(x)')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Trabajar directamente con el objeto `Axes`" + ] + }, + { + "cell_type": "code", + "execution_count": 107, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Text(0, 0.5, 'sin(x)')" + ] + }, + "execution_count": 107, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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YOUDOrEMH0/upeHH4+WfTAXzHDqtTiYi4BBVL4l6WLoVnnzV9ip591vRNqlTJ6lQ544EHzHyru+82lxibNDEL+4qIyG1RsSTuY+ZM6NLFzE/q1s10y/bysjpVzqpc2Szq+9BDcPas6fo9Z47VqUREnJqKJXEP48ZBv35mf8AAs3SJp6e1mXJLsWKwdq2ZsJ6cbBbkffVVq1OJiDgtFUvi2ux2GD7cLB8CMGKEmRDtqG0BcoqXl1n0d+xY8/XYsWaZFBERuWX5rA4gkmtSUqBv3/TLUJMnw+DB1mbKSzabKRLz54ehQyE8HIoUMQv/iohIlrn4n9fitux26NHDFEo2m1kM150KpasNGZI+svbSS/DBB9bmERFxMiqWxDW9/josWmTmJS1bBj17Wp3IWm+8AX36mCKyUyf44gurE4mIOA0VS+J6Fi+G0aPN/ty50L69tXkcgc0G06fDv/9tJn0/+yysX291KhERp6BiSVzLN9+kjyK98gq88IK1eRyJh4cZbWvTBpKS4IknYMsWq1OJiDg8FUviOnbsgKefNovjPv+8ufQkGeXLZ/pLNWsG587Bo4/Czp1WpxIRcWgqlsQ1/PUXtGwJCQnw4INmBMVmszqVY/LxgVWr4N57zZIvoaEQE2N1KhERh6ViSZxfaqfqo0ehShWzmKy3t9WpHNsdd8BXX0G1anDsGDz3nFkCRkRErqFiSZzblSvmgz46GkqVgjVrTAdrubmiRU1h6esL338PL79sdSIREYekYkmcl91umk5GRECBArB6NVSoYHUq51KlCrz3ntmfPh3ef9/aPCIiDkjFkjivxYtNs0mbzUxabtjQ6kTO6Ykn4LXXzH6PHvDLL9bmERFxMCqWxDnt2mVGlcDc9da6tbV5nN3IkebOuIsX4amn4O+/rU4kIuIwVCyJ80lMNPOULlyA5s3NQrlye1I7nVesCAcPmtYLyclWpxIRcQgqlsT59OsH//d/ULq0mW/joX/GOSJ1wnfBgvD11+mX5kRE3Jw+ZcS5vPeemavk4WEWhC1VyupErqV2bXjnHbM/bhx89pm1eUREHICKJXEee/ZA795mf8QIeOghS+O4rPbtYdAgs9+5M/zxh7V5REQspmJJnMOFC2aeUmIiPPwwvPqq1Ylc24QJphP6uXOmYLpyxepEIiKWUbEkzmHQILP2W6lSZiKyp6fViVxb/vzmkqevL2zaBJMmWZ1IRMQyKpbE8S1fnt5P6f33zcRuyX1ly5pGlWBaC0RHWxpHRMQqKpbEse3fbxolAoSHwyOPWJvH3XTqBE8+adaN+/e/TR8mERE3o2JJHFdKCnTvbhbKvf9+GDXK6kTux2Yzo3qlSsHOnWonICJuScWSOK5582DDBtP3Z+lSyJfP6kTuqWRJWLDA7L/1FmzcaG0eEZE85nTF0qxZsyhfvjw+Pj4EBwcTFRV1w2MfeughbDbbNVurVq3SjunSpcs132/RokVevBXJzKFDMHSo2R83znSWFus88QR062YWL+7c2Yz2iYi4CacqlpYvX05YWBgjR45k+/bt1KlTh9DQUE6cOHHd4z/77DOOHz+etu3cuRNPT0+effbZDMe1aNEiw3EffvhhXrwduRG7HXr2NLetN2mSvgacWGvKFChf3iyHktqHSUTEDThVsfT222/To0cPunbtSvXq1Zk7dy4FCxZk0aJF1z2+WLFiBAQEpG3r1q2jYMGC1xRL3t7eGY4rWrRoXrwduZGlS81yG97esHChljNxFL6+5r+NzWb+u3zxhdWJRETyhNN8Cl26dIlt27YREhKS9pyHhwchISFs2rQpS+dYuHAh7dq1o1ChQhme/+677yhVqhRVqlShd+/e/H2TFdeTkpJISEjIsEkOOXYsfdRi9GioUsXaPJLRgw/C4MFm/4UX4ORJa/OIiOQBpymWTp06RXJyMv7+/hme9/f3JyYm5qavj4qKYufOnbzwwgsZnm/RogXvvvsukZGRTJgwgQ0bNvDoo4+SnMmK6+PGjcPPzy9tCwoKyt6bkozsdrOcSVwcNGgAYWFWJ5LrGTMGataEEydg4ECr04iI5DqnKZZu18KFC6lVqxaNGjXK8Hy7du144oknqFWrFm3atGH16tVs3bqV77777obnCg8PJz4+Pm07cuRILqd3E8uXw+efm+7Rixbp7jdH5eNjFjO22cxixpGRVicSEclVTlMslShRAk9PT2JjYzM8HxsbS0BAQKavTUxM5KOPPqJ79+43/TkVK1akRIkS7Nu374bHeHt74+vrm2GT23TyJPTrZ/ZffRVq1bI2j2SuQQPo08fsv/QSJCVZm0dEJBc5TbHk5eVF/fr1ibzqr9iUlBQiIyNp3Lhxpq/9+OOPSUpKomPHjjf9OUePHuXvv/+mtJbUyFv9+sGpU1C7NgwfbnUayYo33oCAAPj9d5g40eo0IiK5xmmKJYCwsDAWLFjA0qVL2b17N7179yYxMZGuXbsC0KlTJ8LDw6953cKFC2nTpg3FixfP8Py5c+cYMmQImzdv5uDBg0RGRtK6dWsqV65MaGhonrwnAVatMpfgPD3N5TcvL6sTSVb4+cHUqWZ/7FjIZDRWRMSZOdWkkLZt23Ly5ElGjBhBTEwMdevWJSIiIm3S9+HDh/H4x23me/fu5YcffuDrr7++5nyenp789ttvLF26lLi4OAIDA2nevDljxozB29s7T96T20tMhP79zf6QIVC/vrV55NY895xpI7BunbksFxFh5jKJiLgQm91ut1sdwtklJCTg5+dHfHy85i/dqldfNaMS5crB7t1QoIDVieRW/fGHmWOWlGRGCJ97zupEIiJZktXPb6e6DCcuZt8+mDTJ7E+ZokLJWd11F7zyitkfOBDi4y2NIyKS01QsiXUGDYJLl6B5c2jTxuo0cjuGDYO774bjx+G116xOIyKSo1QsiTW+/BJWrza9lKZN0zwXZ+ftDbNnm/1Zs2DbNmvziIjkIBVLkveSktI7Pw8aBFWrWhpHckizZvD885CSAr16QSZd8EVEnImKJcl7b79t5iuVLq1LNq7mrbdMS4Gff4a5c61OIyKSI1QsSd46csQ0MwQzubtwYWvzSM4KCIBx48z+a6/B6dPW5hERyQEqliRvDRkC58/D/febSzbienr2NJ3Yz5yB0aOtTiMicttULEneWb/e9OHx8IAZMzSp21V5eprLcWAme//+u7V5RERuk4olyRuXL6d36u7VC+rWtTSO5LKQEHjsMbhyBYYOtTqNiMhtUbEkeWP2bNi5E4oXhzFjrE4jeWHSJDPK9N//mlFFEREnpWJJct/ff8Prr5v9N9+EYsUsjSN5pGpVM4oIEBamVgIi4rRULEnue/NNiIszk367d7c6jeSlkSNNK4HoaHjvPavTiIhki4olyV0HD8LMmWZ/4kRzWUbcR8mSZrFkgP/8BxITrc0jIpINKpYkd732mln/rVkzswacuJ9+/aBCBTh2DCZPtjqNiMgtU7EkueeXX+D9983+hAlqFeCuvL3NqCKYx7/+sjaPiMgtUrEkuWfYMPPYvj3Ur29tFrHW009DkyamIWnqZTkRESehYklyx7p1ZsufH8aOtTqNWM1mM2sCAixdCtu3W5tHROQWqFiSnJeSkj6q1KePma8i0qiRWeLGbjetBOx2qxOJiGSJiiXJeR9+aOYr+fqaO6BEUo0bBz4+sGEDrF1rdRoRkSxRsSQ56+LF9AJp+HAoUcLaPOJYypY1o41g/p1odElEnICKJclZs2fDoUNw550wYIDVacQRDR8Od9xh5i199pnVaUREbkrFkuScuLj0ydyjR0PBgpbGEQdVooSZswSmD5eWQRERB6diSXLO+PFw+jTUqAGdO1udRhxZWBgULQq7d8OyZVanERHJlIolyRlHj8K0aWZ//HgtayKZ8/Mzl+PArB936ZK1eUREMqFiSXLGuHFmcvcDD0CrVlanEWfQty8EBJj1A995x+o0IiI3pGJJbt+hQ7BggdkfM0bLmkjWFCyY3s37jTdMd28REQekYklu39ixcPmyWSy3aVOr04gz6dEDypWD48dh1iyr04iIXJeKJbk9f/4Jixeb/VGjrM0izsfLC15/3eyPHw8JCZbGERG5HhVLcnveeAOuXIHQULNQqsit6tgRqlQxd1Kmrh8nIuJAVCxJ9v3xB7z7rtnXqJJkV758Zq4bmGLp1Clr84iI/IOKJcm+MWNMQ8FWrSA42Oo04syefhrq1oWzZ2HCBKvTiIhk4HTF0qxZsyhfvjw+Pj4EBwcTFRV1w2OXLFmCzWbLsPn4+GQ4xm63M2LECEqXLk2BAgUICQnhjz/+yO234fz27ElvJqhRJbldHh7p3d9nzoRjx6zNIyJyFacqlpYvX05YWBgjR45k+/bt1KlTh9DQUE6cOHHD1/j6+nL8+PG07dChQxm+P3HiRKZPn87cuXPZsmULhQoVIjQ0lIsXL+b223Fuo0dDSgq0bg3161udRlzBo4/CffeZfl0TJ1qdRkQkjc1ud55lv4ODg2nYsCEzZ84EICUlhaCgIPr168fw1G7AV1myZAkDBw4kLi7uuuez2+0EBgYyePBgXn75ZQDi4+Px9/dnyZIltGvXLku5EhIS8PPzIz4+Hl9f3+y9OWeyaxfUqmVWjP/lF3P5RCQnrFsHzZuDjw8cOGCaVoqI5JKsfn47zcjSpUuX2LZtGyEhIWnPeXh4EBISwqZNm274unPnzlGuXDmCgoJo3bo1u3btSvvegQMHiImJyXBOPz8/goODMz1nUlISCQkJGTa3MmqUKZRS55mI5JSQELj3XjO69NZbVqcREQGcqFg6deoUycnJ+Pv7Z3je39+fmJiY676mSpUqLFq0iP/+97+8//77pKSkcN9993H06FGAtNfdyjkBxo0bh5+fX9oWFBR0O2/Nufz2G3z8senSndofRySn2GwwYoTZnz0bTp60No+ICE5ULGVH48aN6dSpE3Xr1qVp06Z89tlnlCxZknnz5t3WecPDw4mPj0/bjhw5kkOJnUBqgfTcc1CzpqVRxEW1aAENGpjlT9R3SUQcgNMUSyVKlMDT05PY2NgMz8fGxhKQxXkN+fPnp169euzbtw8g7XW3ek5vb298fX0zbG7hl19g5Urz1//IkVanEVdls8Frr5n9mTPh77+tzSMibs9piiUvLy/q169PZGRk2nMpKSlERkbSuHHjLJ0jOTmZHTt2ULp0aQAqVKhAQEBAhnMmJCSwZcuWLJ/TraQ2DmzfHqpVszaLuLbHH4c6deDcOZg2zeo0IuLmnKZYAggLC2PBggUsXbqU3bt307t3bxITE+natSsAnTp1Ijw8PO340aNH8/XXX/Pnn3+yfft2OnbsyKFDh3jhhRcAsNlsDBw4kDfeeIPPP/+cHTt20KlTJwIDA2nTpo0Vb9Fx7dqVPqr0n/9YnUZc3dWjS9OmwQ3uaBURyQv5rA5wK9q2bcvJkycZMWIEMTEx1K1bl4iIiLQJ2ocPH8bDI73+O3PmDD169CAmJoaiRYtSv359fvrpJ6pXr552zNChQ0lMTKRnz57ExcVx//33ExERcU3zSrc3bpx5fOopuOr3J5JrnnwSatQwhfr06ekTv0VE8phT9VlyVC7fZ2n/frj7btOEcvt2qFfP6kTiLpYvh3btoGhROHgQXPF/XyJiGZfrsyQWmjDBFEqPPqpCSfLWM89AlSpw5gzMmmV1GhFxUyqWJHNHj8KSJWZfc5Ukr3l6wquvmv233jITvkVE8piKJcnc5Mlw+TI0bQpNmlidRtxRu3ZQubJpITBnjtVpRMQNqViSGztxAubPN/saVRKr5MuX/u9v8mTTrFJEJA+pWJIbmzoVLlyAhg3Nml0iVunQAcqXz1jAi4jkERVLcn1nzpjuyWD+qrfZrM0j7i1/fkjtofbWW3DpkrV5RMStqFiS65s5E86eNeu/Pf641WlEoHNnKF3a3HTwwQdWpxERN6JiSa517py5BAdmVMlD/0zEAXh7w6BBZj+1nYWISB7Qp6Bca948OH0a7roLnn3W6jQi6V58Efz8YM8e+Pxzq9OIiJtQsSQZXbxo7jgCGD7c9LkRcRS+vtCnj9kfNw60AIGI5AEVS5LR4sUQEwNBQdCxo9VpRK7Vvz/4+EBUFGzYYHUaEXEDKpYk3ZUrMGmS2R86FLy8rM0jcj3+/tCtm9kfP97aLCLiFlQsSbpPP4UDB6BEifQPIxFH9PLL5hLx2rXwyy9WpxERF6diSQy7HSZONPv9+kHBgtbmEclMhQrQtq3ZnzDB2iwi4vJULInx7bewfbspklIn0Io4smHDzOPHH8O+fdZmERGXpmJJjNRRpe7doXhxa7OIZEXt2tCypem3lHoHp4hILlCxJBAdDV9/beaAhIVZnUYk64YPN4+LF8Px49ZmERGXpWJJ0keVnnvOLFYq4izuvx8aNzZrxU2bZnUaEXFRKpbc3YEDsGKF2R8yxNosIrfKZksfXZozB+Ljrc0jIi5JxZK7mzIFkpPhkUegXj2r04jcusceg+rVISHBFEwiIjlMxZI7O3UK3nnH7A8dam0Wkezy8Ei/M27qVLNkj4hIDlKx5M5mz4YLF8yIUrNmVqcRyb727aFMGYiNhQ8+sDqNiLgYFUvu6vx5mDHD7A8dauZ+iDir/PlhwACzP3myaScgIpJDVCy5qyVLzGW48uXhmWesTiNy+3r0gMKFYfduiIiwOo2IuBAVS+7oyhV46y2zP3gw5MtnbR6RnODnZwomSP/3LSKSA1QsuaPPPoM//zSdurt2tTqNSM4ZMMA0V01dvkdEJAeoWHI3Vy+Y27cvFCpkbR6RnFS2bPoCuxpdEpEcomLJ3WzYANu2gY+PFswV1zR4sHlcvhyOHLE2i4i4BBVL7ubtt81jly5QsqSlUURyxT33wMMPm2arWgJFRHKAiiV38vvv8MUXZn/gQEujiOSql182j/PnawkUEbltKpbcyZQp5vHxx6FKFWuziOSmFi3MEihnz8KCBVanEREn53TF0qxZsyhfvjw+Pj4EBwcTFRV1w2MXLFjAAw88QNGiRSlatCghISHXHN+lSxdsNluGrUWLFrn9NvLeqVOwdKnZDwuzNotIbvPwSJ+7NG0aXL5sbR4RcWpOVSwtX76csLAwRo4cyfbt26lTpw6hoaGcOHHiusd/9913tG/fnvXr17Np0yaCgoJo3rw5f/31V4bjWrRowfHjx9O2Dz/8MC/eTt6aN88sbXLPPdC0qdVpRHJfhw7g7w9Hj8KKFVanEREnZrPb7XarQ2RVcHAwDRs2ZObMmQCkpKQQFBREv379GD58+E1fn5ycTNGiRZk5cyadOnUCzMhSXFwcq1atynauhIQE/Pz8iI+Px9fXN9vnyTVJSaZTd0wMvP+++RARcQdjx8Krr0Lduqbvkpb1EZGrZPXz22lGli5dusS2bdsICQlJe87Dw4OQkBA2bdqUpXOcP3+ey5cvU6xYsQzPf/fdd5QqVYoqVarQu3dv/v7770zPk5SUREJCQobNoX34oSmU7rwTnnvO6jQieadXLyhYEKKjYf16q9OIiJNymmLp1KlTJCcn4+/vn+F5f39/YmJisnSOYcOGERgYmKHgatGiBe+++y6RkZFMmDCBDRs28Oijj5KcnHzD84wbNw4/P7+0LSgoKHtvKi/Y7entAvr3NwuOiriL4sWhWzezP3mytVlExGk5TbF0u8aPH89HH33EypUr8fHxSXu+Xbt2PPHEE9SqVYs2bdqwevVqtm7dynfffXfDc4WHhxMfH5+2HXHkxnfffAM7dphO3anrZom4k4EDzeW3NWtg1y6r04iIE3KaYqlEiRJ4enoSGxub4fnY2FgCAgIyfe3kyZMZP348X3/9NbVr18702IoVK1KiRAn27dt3w2O8vb3x9fXNsDms1FGl7t2haFFrs4hYoVIlePJJs68mlSKSDU5TLHl5eVG/fn0iIyPTnktJSSEyMpLGjRvf8HUTJ05kzJgxRERE0KBBg5v+nKNHj/L3339TunTpHMltqV27ICLC/FU9YIDVaUSsM2iQeXzvPdNGQ0TkFjhNsQQQFhbGggULWLp0Kbt376Z3794kJibStWtXADp16kR4eHja8RMmTOC1115j0aJFlC9fnpiYGGJiYjh37hwA586dY8iQIWzevJmDBw8SGRlJ69atqVy5MqGhoZa8xxyV2oTyySehYkVrs4hYqUkTaNAALl6EuXOtTiMiTsapiqW2bdsyefJkRowYQd26dYmOjiYiIiJt0vfhw4c5fvx42vFz5szh0qVLPPPMM5QuXTptm/y/iZ6enp789ttvPPHEE9x99910796d+vXr8/333+Pt7W3Je8wxsbGmTQCkN+cTcVc2W/oSP7NmmXYaIiJZ5FR9lhyVQ/ZZev11GDUKgoNh0yb1lxG5dAkqVIBjx0w3+//1WhMR9+VyfZbkFly4YP56BjOqpEJJBLy8oG9fsz9limmrISKSBSqWXNGyZWYSa7ly6XcBiQi8+CIUKGCaVG7YYHUaEXESKpZcjd0OU6ea/f79IV8+S+OIOJRixaBzZ7OfegOEiMhNqFhyNZGRpmXAHXeY3koiklHqRO8vvoBM+qmJiKRSseRqUkeVunUDPz9Lo4g4pCpVoGVLMwqrJpUikgUqllzJ3r3w5ZdmQne/flanEXFcqU0qFy+GuDhLo4iI41Ox5EqmTzePjz8OlStbm0XEkTVrBjVrQmIiLFhgdRoRcXAqllzFmTOwZInZT52TISLXd3WTyhkz4MoVS+OIiGNTseQq3nkHzp+H2rXhoYesTiPi+Dp0gJIl4cgR+PRTq9OIiANTseQKrlwxfx2D+WtZTShFbs7HB3r3NvupN0aIiFyHiiVXsHKl+eu4ZElo397qNCLO46WXTGfvzZvNskAiItehYskVpP5V3Lu3+WtZRLLG3x+ef97sq42AiNyAiiVnFxUFP/0E+fOnX1IQkawbMMA8fvIJHD1qbRYRcUgqlpxd6qhS+/YQEGBpFBGnVLcuNG0KycnpC1CLiFxFxZIzO3oUPv7Y7KtdgEj2pY4uzZ9v7ioVEbmKiiVnNnu2uROuaVOoV8/qNCLO64knoHx5OH0ali2zOo2IOBgVS87q/HmYN8/sa1RJ5PZ4eqYvETRtmlk3TkTkf1QsOav33zd/BVeoYJY3EZHb060bFCoEu3ZBZKTVaUTEgahYckZXr5ber5/5q1hEbk+RItCli9lXGwERuYrNbr+18eaUlBQ2bNjA999/z6FDhzh//jwlS5akXr16hISEEBQUlFtZHVZCQgJ+fn7Ex8fj6+ub+z9w3Tpo3hzuuMNM8vbzy/2fKeIOfv8dqlQxXfD37oW77rI6kYjkoqx+fmd5ZOnChQu88cYbBAUF0bJlS9asWUNcXByenp7s27ePkSNHUqFCBVq2bMnmzZtz5E3IDaT+1du1qwolkZx0993QsqUZvU1dQkhE3F6WR5aCgoJo3LgxXbp04ZFHHiF//vzXHHPo0CE++OAD5s2bx3/+8x969OiR44EdUZ6OLP3xh/k/dP3lK5I7vv4aQkM1civiBrL6+Z3lYmn37t1Uq1YtSz/88uXLHD58mEqVKmUtrZPL02Kpf3/zF2+rVrB6de7+LBF3ZLdDjRqwezdMmaK7TUVcWI5fhstqoQSQP39+tymU8lR8PCxebPZTm+iJSM6y2dL/9zV9uunsLSJuLVt3w73++uukpKRc83x8fDzttep97lm8GM6dg+rVISTE6jQiruvf/4aiReHAAY3gikj2iqWFCxdy//338+eff6Y9991331GrVi3279+fY+HkKsnJ6RNO+/c3f/2KSO4oWBBS51yqjYCI28tWsfTbb79RpkwZ6taty4IFCxgyZAjNmzfn3//+Nz/99FNOZxSAL7+EP/80vWA6drQ6jYjr69PH9DBbvx5++83qNCJioXzZeVHRokVZsWIFr7zyCi+++CL58uVjzZo1NGvWLKfzSarUv2579DBdhkUkd5UtC089ZRarnjYNFi60OpGIWCTbHbxnzJjBtGnTaN++PRUrVqR///78+uuvOZlNUu3YAd9+Cx4e5q9dEckbqRO9ly2DkyetzSIilslWsdSiRQtGjRrF0qVLWbZsGb/88gsPPvgg9957LxMnTszpjDJ9unl88kkoV87aLCLu5L77oH59SEqC+fOtTiMiFslWsZScnMxvv/3GM888A0CBAgWYM2cOn3zyCVOmTMnRgG7v77/NormgdgEiee3qNgKzZ8Ply9bmERFLZKtYWrduHYGBgdc836pVK3bs2HHboTIza9Ysypcvj4+PD8HBwURFRWV6/Mcff0zVqlXx8fGhVq1afPXVVxm+b7fbGTFiBKVLl6ZAgQKEhITwxx9/5OZbuDULFsDFi1CvHtx/v9VpRNzPc8+Bvz8cOwaffmp1GhGxQJaLpayut1uiRIlsh7mZ5cuXExYWxsiRI9m+fTt16tQhNDSUEydOXPf4n376ifbt29O9e3d++eUX2rRpQ5s2bdi5c2faMRMnTmT69OnMnTuXLVu2UKhQIUJDQ7l48WKuvY8su3wZZs0y+wMGqF2AiBW8vaFXL7OvNgIi7smeRdWqVbN/+OGH9qSkpEyP+/333+29evWyjxs3LqunzrJGjRrZ+/Tpk/Z1cnKyPTAw8IY/67nnnrO3atUqw3PBwcH2F1980W632+0pKSn2gIAA+6RJk9K+HxcXZ/f29rZ/+OGHWc4VHx9vB+zx8fG38nZubvlyux3s9lKl7PaLF3P23CKSdceP2+3585v/PW7ZYnUaEckhWf38zvLI0owZM5g8eTIBAQG0bduWSZMmsWzZMj799FPeeecdwsLCaNSoEXXr1sXX15fevXvnaFF36dIltm3bRshVnas9PDwICQlh06ZN133Npk2bMhwPEBoamnb8gQMHiImJyXCMn58fwcHBNzwnQFJSEgkJCRm2XJH6V2yvXuavWxGxRkAAtGtn9jW6JOJ2stxnqVmzZvz888/88MMPLF++nGXLlnHo0CEuXLhAiRIlqFevHp06daJDhw4ULVo0x4OeOnWK5ORk/P39Mzzv7+/Pnj17rvuamJiY6x4fExOT9v3U5250zPWMGzeOUaNG3fJ7uCWJiaafkpcX5HDhKSLZMGAAvPcerFgBkybBdeZtiohruuWmlPfffz/3u/lE4/DwcMLCwtK+TkhIICgoKGd/SKFC8PXXcPy4+atWRKxVvz40aQI//ghz58Lo0VYnEpE8ku2mlHmtRIkSeHp6Ehsbm+H52NhYAm5QTAQEBGR6fOrjrZwTwNvbG19f3wxbrildOvfOLSK3JrWNwNy55i5VEXEL2VruBCAyMpLIyEhOnDhBSkpKhu8tWrTotoP9k5eXF/Xr1ycyMpI2bdoAkJKSQmRkJH379r3uaxo3bkxkZCQDBw5Me27dunU0btwYgAoVKhAQEEBkZCR169YFzCjRli1bcnzOlYi4gCefhDJl4OhR+Ogj6NLF6kQikgeyNbI0atQomjdvTmRkJKdOneLMmTMZttwSFhbGggULWLp0Kbt376Z3794kJibStWtXADp16kR4eHja8QMGDCAiIoK33nqLPXv28Prrr/Pzzz+nFVc2m42BAwfyxhtv8Pnnn7Njxw46depEYGBgWkEmIpImX770JYemTYMstlQRESeXnVvtAgIC7O+++262btO7XTNmzLCXLVvW7uXlZW/UqJF98+bNad9r2rSpvXPnzhmOX7Fihf3uu++2e3l52WvUqGH/8ssvM3w/JSXF/tprr9n9/f3t3t7e9mbNmtn37t17S5lyrXWAiDieU6fs9gIFTBuBDRusTiMityGrn982u/3W/zQqXrw4UVFRVKpUKeerNyeUkJCAn58f8fHxuTt/SUQcQ8+eprv+U0+pq7eIE8vq53e2LsO98MILfPDBB9kOJyLi1Pr3N4+rVsHBg1YmEZE8kK0J3hcvXmT+/Pl888031K5dm/z582f4/ttvv50j4UREHFLNmtCsGURGmgV2J060OpGI5KJsXYZ7+OGHb3xCm41vv/32tkI5G12GE3FDX3wBTzwBRYqYu+MKFbI6kYjcoqx+fmdrZGn9+vXZDiYi4hJatYJKlWD/fnj3XXXaF3FhTtOUUkTEoXh4pM9dmj4d/tFvTkRcR5Yvwz311FMsWbIEX19fnnrqqUyP/eyzz3IknLPQZTgRN5WQYJpUnj0La9ZAixZWJxJxPRs3QlAQVKiQ46fO8bvh/Pz8sNlsafuZbSIibsHXF7p3N/vTplmbRcQVJSebTvmVK8PatZbFyNYE7wsXLpCSkkKh/01oPHjwIKtWraJatWqEhobmeEhHp5ElETf255/m/8jtdti9G6pWtTqRiOtYtcosM1SsGBw5AgUL5ujpc7XPUuvWrXnvvfcAiIuL49577+Wtt96iTZs2zJkzJ3uJRUScUcWK5q44MHOXRCTnTJ1qHl98MccLpVuRrWJp+/btPPDAAwB88skn+Pv7c+jQId59912m6/8sRMTdDBhgHpcuhVxcH1PErURHw4YN4OkJL71kaZRsFUvnz5+ncOHCAHz99dc89dRTeHh4cO+993Lo0KEcDSgi4vAeeghq14bz5+Gdd6xOI+IaUucBPvusuZHCQtkqlipXrsyqVas4cuQIa9eupXnz5gCcOHFCc3ZExP3YbOmjSzNmwJUr1uYRcXaxsZC6rNrAgZZGgWwWSyNGjODll1+mfPnyBAcH07hxY8CMMtWrVy9HA4qIOIXnn4cSJcwk1FWrrE4j4tzmzoVLl+DeeyE42Oo02SuWnnnmGQ4fPszPP/9MRERE2vPNmjVjypQpORZORMRp+PhAr15mP3VSqojcuqQks+YiOMSoEmSzdYBkpNYBIgLAsWNQvjxcvgxbt0KDBlYnEnE+S5ea3kp33gkHDkD+/Ln2o3K1dYCIiFxHYCA895zZV5NKkVtnt6ePzPbtm6uF0q1QsSQikpNSLxssXw7Hj1saRcTpfP+9aRlQoAD06GF1mjQqlkREclKDBnDffeZSnJr0itya1FGlTp2geHFLo1xNxZKISE5LHV2aOxcuXrQ0iojT+PPP9DtJ+/e3NMo/qVgSEclpTz5pVkk/eTK9V4yIZG7mTDNnKTQUqle3Ok0GKpZERHJavnzQr5/ZnzrVfACIyI0lJKR3v09t8OpAVCyJiOSGHj2gUCHYsQMiI61OI+LYliyBs2ehShUzsuRgVCyJiOSGIkWgWzez//bblkYRcWgpKTB9utkfMAA8HK80cbxEIiKuYsAAs27cmjWwe7fVaUQc0+rVsH+/+QOjUyer01yXiiURkdxSqRI88YTZV5NKketLHXl98UVz6doBqVgSEclNgwaZx3ffhVOnrM0i4mi2bYMNG8xNEX37Wp3mhlQsiYjkpgcfhHvugQsXYN48q9OIOJYpU8xj27ZQpoy1WTKhYklEJDfZbOmjS7NmwaVL1uYRcRRHj5plgSD9fyMOSsWSiEhue+45KF3arBWX+uEg4u5mzoQrV6BpU6hf3+o0mVKxJCKS27y80udjTJmiJpUi586lX5YOC7M2SxaoWBIRyQsvvmhWUv/lFzOhVcSdLVkCcXFQuTI89pjVaW7KaYql06dP06FDB3x9fSlSpAjdu3fn3LlzmR7fr18/qlSpQoECBShbtiz9+/cnPj4+w3E2m+2a7aOPPsrttyMi7qZ4cejc2eynTmoVcUfJyWYZIDBzlRywCeU/OX7C/+nQoQO7du1i3bp1rF69mo0bN9KzZ88bHn/s2DGOHTvG5MmT2blzJ0uWLCEiIoLu3btfc+zixYs5fvx42tamTZtcfCci4rYGDjSPX3wBf/xhaRQRy6Q2oSxaNP0PCAdns9sd/+L57t27qV69Olu3bqVBgwYARERE0LJlS44ePUpgYGCWzvPxxx/TsWNHEhMTyZcvH2BGllauXHlbBVJCQgJ+fn7Ex8fj6+ub7fOIiBto1Qq++gr69DETXEXcTdOmsHEjhIfDm29aGiWrn99OMbK0adMmihQpklYoAYSEhODh4cGWLVuyfJ7UX0ZqoZSqT58+lChRgkaNGrFo0SJuVj8mJSWRkJCQYRMRyZLUyayLF8OZM9ZmEclrP/9sCqX8+R26CeU/OUWxFBMTQ6lSpTI8ly9fPooVK0ZMTEyWznHq1CnGjBlzzaW70aNHs2LFCtatW8fTTz/NSy+9xIwZMzI917hx4/Dz80vbgoKCbu0NiYj7+te/oHZtOH8e5s+3Oo1I3rq6CWUWrwo5AkuLpeHDh193gvXV2549e2775yQkJNCqVSuqV6/O66+/nuF7r732Gk2aNKFevXoMGzaMoUOHMmnSpEzPFx4eTnx8fNp25MiR284oIm7i6iaV06erSaW4jyNHYMUKs+/gTSj/Kd/ND8k9gwcPpkuXLpkeU7FiRQICAjhx4kSG569cucLp06cJCAjI9PVnz56lRYsWFC5cmJUrV5I/f/5Mjw8ODmbMmDEkJSXh7e193WO8vb1v+D0RkZtq3x5eeQWOHYMPP3SaSa4ityW1CeVDD5klgJyIpcVSyZIlKVmy5E2Pa9y4MXFxcWzbto36/+vy+e2335KSkkJwcPANX5eQkEBoaCje3t58/vnn+Pj43PRnRUdHU7RoURVDIpJ7vL1hwAAYPhwmT4ZOncyIk4ircrImlP/kFHOWqlWrRosWLejRowdRUVH8+OOP9O3bl3bt2qXdCffXX39RtWpVoqKiAFMoNW/enMTERBYuXEhCQgIxMTHExMSQnJwMwBdffME777zDzp072bdvH3PmzOHNN9+kX79+lr1XEXETL74Id9wBO3fC119bnUYkdy1aBPHxcNdd5o5QJ2PpyNKtWLZsGX379qVZs2Z4eHjw9NNPM3369LTvX758mb1793L+/HkAtm/fnnanXOXKlTOc68CBA5QvX578+fMza9YsBg0ahN1up3Llyrz99tv06NEj796YiLinIkXghRdMc75JkyA01OpEIrnjypX0id1hYU7RhPKfnKLPkqNTnyURyZZDh6BSJdPRePt2qFfP6kQiOe+jj8w8vZIlzb/5AgWsTpTGpfosiYi4pHLl4LnnzP5bb1mbRSQ32O1m5BRMXyUHKpRuhYolERErvfyyefzoIzh82NosIjnt22/NqGnBgqZrvZNSsSQiYqV77jGNKpOTYdo0q9OI5KzUUaVu3cxi0k5KxZKIiNVSR5fmz4e4OEujiOSYX3+FtWvNhG4nbBdwNRVLIiJWa9ECatQwvWgWLLA6jUjOmDzZPD7zDFSoYG2W26RiSUTEajZb+ujStGlaAkWc3+HDZh4ewJAh1mbJASqWREQcQfv2ULo0/PVX+oeMiLOaOtX0V3r4YWjQwOo0t03FkoiII/D2hv79zf7kyeaWaxFnFBeXfjnZBUaVQMWSiIjj6NXLLIGyY4eWQBHnNXeumX9Xs6aZj+cCVCyJiDiK1CVQACZOtDSKSLYkJaW3wBgyxGUWiFaxJCLiSAYOhHz5TDO/rVutTiNya95/H2Ji4M47oV07q9PkGBVLIiKOpFw5eP55sz9+vLVZRG5FSkp6u4CBA8HLy9I4OUnFkoiIoxk2zDyuXAl79libRSSrVq82/159faFnT6vT5CgVSyIijqZ6dWjd2twRN2GC1WlEbs5uT59n16uXKZhciIolERFHFB5uHt9/XwvsiuP7/nv48Udz6W3AAKvT5DgVSyIijig42DT0u3IF3n7b6jQimXvzTfPYtSsEBlqbJReoWBIRcVSpo0sLFsCpU9ZmEbmRbdvSF8wdOtTqNLlCxZKIiKMKCYH69eH8eZg+3eo0Itc3bpx5bN8eKla0NksuUbEkIuKobDYYPtzsz5gBZ89am0fkn3bvhs8+M/up/1ZdkIolERFH9uSTcPfdZr2tefOsTiOS0YQJ5k641q3N8iYuSsWSiIgj8/RM77v09ttmOQkRR3DwoLlbE+CVVyyNkttULImIOLqOHaFMGTh+HN591+o0IsbkyZCcbObWNWpkdZpcpWJJRMTReXnB4MFmf+JE8wElYqWYGHjnHbPv4qNKoGJJRMQ5vPACFCsG+/bBJ59YnUbc3dSp5pLwvffCQw9ZnSbXqVgSEXEGd9wB/fub/fHjzaRaESucOQOzZ5v9V14xd226OBVLIiLOol8/KFQIoqPNoqUiVpg1y7SxqFULWrWyOk2eULEkIuIsihWDvn3N/qhRGl2SvJeYaC7Bgekw7+EeZYR7vEsREVcxeDAULGiWmFizxuo04m7mz4e//4ZKleDZZ61Ok2dULImIOJOSJaFPH7Ov0SXJSxcvmnYBYHp/5ctnbZ48pGJJRMTZDB4MBQpAVJRZwFQkL7zzDhw7BnfeCZ06WZ0mT6lYEhFxNv7+0Lu32dfokuSFixfTF8x95RXw9rY2Tx5zmmLp9OnTdOjQAV9fX4oUKUL37t05d+5cpq956KGHsNlsGbZevXplOObw4cO0atWKggULUqpUKYYMGcKVK1dy862IiNy+IUPAxwc2b4Z166xOI65uwQIzqhQUBN27W50mzzlNsdShQwd27drFunXrWL16NRs3bqRnz543fV2PHj04fvx42jZx4sS07yUnJ9OqVSsuXbrETz/9xNKlS1myZAkjRozIzbciInL7AgIg9Y8/jS5Jbrpwwa1HlQBsdrvj/y9s9+7dVK9ena1bt9KgQQMAIiIiaNmyJUePHiUwMPC6r3vooYeoW7cuU1Nvc/yHNWvW8Nhjj3Hs2DH8/f0BmDt3LsOGDePkyZN4eXllKV9CQgJ+fn7Ex8fj6+t7629QRCQ7jh+HihXNJZJ168waXSI5bfp0GDDAjCrt22eW33ERWf38doqRpU2bNlGkSJG0QgkgJCQEDw8PtmzZkulrly1bRokSJahZsybh4eGcP38+w3lr1aqVVigBhIaGkpCQwK5du254zqSkJBISEjJsIiJ5rnRpSB1h1+iS5IarR5X+8x+XKpRuhVMUSzExMZQqVSrDc/ny5aNYsWLExMTc8HXPP/8877//PuvXryc8PJz33nuPjh07Zjjv1YUSkPZ1ZucdN24cfn5+aVtQUFB23paIyO0bNsxcFvnhB/juO6vTiKuZN88smluuHHTtanUay1haLA0fPvyaCdj/3Pbs2ZPt8/fs2ZPQ0FBq1apFhw4dePfdd1m5ciX79++/rdzh4eHEx8enbUeOHLmt84mIZFtgIPToYfZHjbI2i7iW8+fNOoTg1qNKAJZ2lBo8eDBdunTJ9JiKFSsSEBDAiRMnMjx/5coVTp8+TUBAQJZ/XnBwMAD79u2jUqVKBAQEEBUVleGY2NhYgEzP6+3tjbcbTnATEQc1bJjprLxhg9maNrU6kbiCefMgNhbKl4ebfFa7OkuLpZIlS1KyZMmbHte4cWPi4uLYtm0b9evXB+Dbb78lJSUlrQDKiujoaABKly6ddt6xY8dy4sSJtMt869atw9fXl+rVq9/iuxERsUiZMvDCC2Yl+FGj4NtvrU4kzu78eZgwwey/+irkz29tHos5xZylatWq0aJFC3r06EFUVBQ//vgjffv2pV27dml3wv31119UrVo1baRo//79jBkzhm3btnHw4EE+//xzOnXqxIMPPkjt2rUBaN68OdWrV+ff//43v/76K2vXruXVV1+lT58+GjkSEecyfLj5QFu/HjZutDqNOLs5c8yoUoUKbtet+3qcolgCc1db1apVadasGS1btuT+++9n/vz5ad+/fPkye/fuTbvbzcvLi2+++YbmzZtTtWpVBg8ezNNPP80XX3yR9hpPT09Wr16Np6cnjRs3pmPHjnTq1InRo0fn+fsTEbktQUFmdAlMLxzdGSfZlZioUaV/cIo+S45OfZZExCEcOwaVK5vbvb/4Ah57zOpE4owmTzYd4itWhD17XLpYcqk+SyIikgWBgdCvn9n/z38gJcXaPOJ8EhMhdaWL115z6ULpVqhYEhFxJcOGgZ8f/PYbfPSR1WnE2UybBidPQqVKcFVfQnenYklExJUUK2YuoQCMGAGXL1ubR5zH33+nz1UaPRryWXrDvENRsSQi4moGDAB/f9i/HxYutDqNOIs334SEBKhbF9q1szqNQ1GxJCLiau64w9zFBGaE4Ko1MUWu69AhmDnT7I8fDx4qD66m34aIiCvq2dN0Xj5+PP1DUORGRo6ES5fgX/+C5s2tTuNwVCyJiLgiL6/0teLGj4e4OEvjiAPbsQPefdfsjx8PNpu1eRyQiiUREVfVoQPUqAFnzsCkSVanEUeV2sT02WehYUOr0zgkFUsiIq7K0xPeeMPsT50KMTGWxhEH9P33sHp1xn8rcg0VSyIirqx1awgONpO8x461Oo04Ervd9OUC6NED7r7b2jwOTMWSiIgrs9nMLeEA8+bBgQPW5hHH8d//wqZNULCg6cklN6RiSUTE1f3rXxASYhpUprYUEPd25YqZqwQwaBCULm1tHgenYklExB1MmGBGmT74ADZvtjqNWG3pUti9G4oXT+/4LjekYklExB3ccw906WL2Bw4081XEPV24YPoqgVlw2c/P2jxOQMWSiIi7GDsWChWCLVvgww+tTiNWmT4d/voLypaF3r2tTuMUVCyJiLiL0qXT56kMG6ZlUNzR8ePpLQLeeAN8fKzN4yRULImIuJNBg6BcOTh6FCZPtjqN5LXhw+HcOdNOokMHq9M4DRVLIiLupEABmDjR7E+YYC7HiHvYsiV9WZPp07VY7i3Qb0pExN08+yw0aWIuw6VelhPXlpIC/fqZ/a5doVEja/M4GRVLIiLuxmYzy5+AGWnYutXSOJIHUv87Fy6c3qRUskzFkoiIO2rQADp3NvtqJeDaEhLMXCUwnboDAqzN44RULImIuKs33zRLXfz0E6xYYXUayS1jxkBsrFn7rX9/q9M4JRVLIiLuKjAQwsPN/tChplmhuJbff4dp08z+lCng5WVtHielYklExJ0NHgxBQXD4MLz1ltVpJKcNGmTWBGzZ0mySLSqWRETc2dWtBN58Ew4csDaP5JyvvjJb/vxmVEmyTcWSiIi7a9sWHnrIXIZ76SVN9nYFly6ZiftgHu++28o0Tk/FkoiIu7PZYO5cM58lIkKTvV3BtGnwxx/g7w+vvmp1GqenYklERKBKlfQGlQMGQFycpXHkNhw6BKNGmf3x48HX19o8LkDFkoiIGMOHm6IpNja9L484F7sdXnwREhPhwQehUyerE7kEFUsiImJ4e8O8eWZ/3jzTf0mcy/vvw9q15r/lggVa/y2H6LcoIiLpmjaFbt3Mfs+eZqKwOIcTJ9IndY8cqUndOchpiqXTp0/ToUMHfH19KVKkCN27d+fcuXM3PP7gwYPYbLbrbh9//HHacdf7/kcffZQXb0lExDFNnAglSsCuXeq95EwGDoTTp6FOHXj5ZavTuBSb3e4c94g++uijHD9+nHnz5nH58mW6du1Kw4YN+eCDD657fHJyMidPnszw3Pz585k0aRLHjx/njjvuAEyxtHjxYlq0aJF2XJEiRfDx8clytoSEBPz8/IiPj8dXE+lExBW8956Z7+LjAzt3QqVKVieSzHz5JTz2mLnstmWLWftPbiqrn99OUSzt3r2b6tWrs3XrVhr87x9AREQELVu25OjRowQGBmbpPPXq1eOee+5h4cKFac/ZbDZWrlxJmzZtsp1PxZKIuBy7HR55BCIjzePatabFgDiehASoUQOOHjUjSpMmWZ3IaWT189spLsNt2rSJIkWKpBVKACEhIXh4eLBly5YsnWPbtm1ER0fTvXv3a77Xp08fSpQoQaNGjVi0aBE3qx+TkpJISEjIsImIuBSbDebMMROF162DG4ziiwMIDzeFUsWK6S0DJEc5RbEUExNDqVKlMjyXL18+ihUrRkxMTJbOsXDhQqpVq8Z9992X4fnRo0ezYsUK1q1bx9NPP81LL73EjBkzMj3XuHHj8PPzS9uCgoJu7Q2JiDiDu+6C114z+4MGwT+mNogD+OEHmD3b7M+fDwULWpvHRVlaLA0fPvyGk7BTtz179tz2z7lw4QIffPDBdUeVXnvtNZo0aUK9evUYNmwYQ4cOZdJNhjDDw8OJj49P244cOXLbGUVEHNKQIeYSz8mT5u44x5+54T4uXoQePcx+t27QrJm1eVxYPit/+ODBg+nSpUumx1SsWJGAgABOnDiR4fkrV65w+vRpAgICbvpzPvnkE86fP0+nLDTnCg4OZsyYMSQlJeHt7X3dY7y9vW/4PRERl+LlZXr3NGoEq1bBokVwnT88xQJjx8KePRAQAJMnW53GpVlaLJUsWZKSJUve9LjGjRsTFxfHtm3bqF+/PgDffvstKSkpBAcH3/T1Cxcu5IknnsjSz4qOjqZo0aIqhkREUtWtaz6Yhw41S6E8+KC5RCfW2brVLGUCMHMmFC1qbR4X5xRzlqpVq0aLFi3o0aMHUVFR/Pjjj/Tt25d27dql3Qn3119/UbVqVaKiojK8dt++fWzcuJEXXnjhmvN+8cUXvPPOO+zcuZN9+/YxZ84c3nzzTfr165cn70tExGmEhcFDD5llNDp2hMuXrU7kvhISoH17uHIFnn0Wnn7a6kQuzymKJYBly5ZRtWpVmjVrRsuWLbn//vuZP39+2vcvX77M3r17OX/+fIbXLVq0iDJlytC8efNrzpk/f35mzZpF48aNqVu3LvPmzePtt99m5MiRuf5+RESciqcnLF0Kfn4QFWVGmsQaffrA/v1Qtmz68jSSq5yiz5KjU58lEXEbH31kRjU8PeH776FxY6sTuZd334XOnc3vf+NG+Mcd3nJrXKrPkoiIOIh27aBDB0hOhn//G86etTqR+/j9d3jpJbP/+usqlPKQiiUREbk1M2eaS0D796cv3Cq569IlM6KXmGgWOw4PtzqRW1GxJCIit6ZIEbN2nM1mWgl89pnViVzfK6/A9u1QrJhp5eDpaXUit6JiSUREbt2DD8KwYWa/Rw84dszaPK4sIgLeesvsL14MZcpYm8cNqVgSEZHsGTUK7rkHTp82t68nJVmdyPXExJgJ3QB9+8ITT1ibx02pWBIRkezx8oIVK0xDxM2boXdvLYeSk1JSoFMnOHECatWCmyzFJblHxZKIiGRfpUqwfDl4eJhLRDNnWp3IdYwaBevWQYEC5nfs42N1IrelYklERG7PI4+kj3oMGgTffmttHlewbBmMHm32Z8+GatWszePmVCyJiMjtGzTI9F1KTjZLcBw4YHUi5/XTT9Ctm9kfOhRusuC85D4VSyIicvtsNrP0RsOGZsJ369Zw7pzVqZzPgQPQpo3pq9SmDYwbZ3UiQcWSiIjklAIFYOVKCAiAHTvMiEhKitWpnEd8PDz2GJw8ae4yfP99MxdMLKf/CiIiknPuvBM+/RTy5zePWnA3a65cgbZt4f/+DwID4fPPoVAhq1PJ/6hYEhGRnHXffTBnjtkfMUIdvrNi0CBYuxYKFoQvvjBFpzgMFUsiIpLzunc3TRTBrGm2dq21eRzZzJlms9nMpbd77rE6kfyDiiUREckdU6aYzt6pk5XVUuBaX34JAwaY/fHj4cknrc0j16ViSUREcke+fPDBB/D443Dxonn84QerUzmO1avhqafMJPiuXWHIEKsTyQ2oWBIRkdzj5QUffwyhoXD+PLRsCVu2WJ3KeqtWmULp0iXzOHeuuQwnDknFkoiI5C5vb9NS4OGH4exZUzht3251Kut88olp3Hn5srkD7qOPTFEpDkvFkoiI5L4CBcxdXvffb/oJPfII/Pab1any3ocfQrt2plVAhw5mQnf+/FankptQsSQiInmjUCEzoblRI9PlOyQEdu+2OlXeee896NjRLAnTpQssXWrmdYnDU7EkIiJ5x9cXIiKgXj3TqbppU/j+e6tT5b5Fi6BzZzOZu0cPWLgQPD2tTiVZpGJJRETyVtGisG6d6Sd08iQ0awYLFlidKvfMmmX6Ttnt8NJLZjK3ljFxKvqvJSIiea94cdi4MX2ic8+e0K+f2XcV589Dt27pzTkHDDDNJ1UoOR39FxMREWsUKgTLl8Mbb5ivZ86EFi3g77+tzZUT/vgDGjeGxYtNcTR2rGnSqfYATknFkoiIWMdmg//8x7QWuOMO0+W7USPYudPqZNn36adQv765269UKXPJ8ZVXVCg5MRVLIiJivTZt4KefoEIF+PNPMyrz3/9anerWXLpkFsR95hnTT+r+++GXX+Bf/7I6mdwmFUsiIuIYatWCqCjTvPLcOVNAdeoEMTFWJ7u5o0fhoYdg6lTz9ZAhZpQsMNDKVJJDVCyJiIjjKFEC1q6FgQPNZav33oMqVUwRcuWK1emudekSTJsGderApk3g52eWMpk4Uc0mXYiKJRERcSz585vJ0Fu2QMOGkJBgLm/dc4+5g84RpKSYZUqqVjWF3enTpnfU9u3QurXV6SSHqVgSERHH1LAhbN4M8+dDsWKwY4dpYtmxIxw/bl2u1Eno7dvDgQMQEGB6J0VFQcWK1uWSXKNiSUREHJeHh+l4/fvv8OKL5tLcsmXm0ly/frBtm2n2mBd++w0efdQ00dy2zdy9N3o07NtnsmnpEpflNMXS2LFjue+++yhYsCBFihTJ0mvsdjsjRoygdOnSFChQgJCQEP74448Mx5w+fZoOHTrg6+tLkSJF6N69O+fOncuFdyAiItlWvHj66E3DhuZus5kzoUEDqF0bJk/OnYng+/bBpElw331mXlJEhCmK+vaF/fvhtddMvyhxaU5TLF26dIlnn32W3r17Z/k1EydOZPr06cydO5ctW7ZQqFAhQkNDuXjxYtoxHTp0YNeuXaxbt47Vq1ezceNGevbsmRtvQUREbleDBubS3FdfQdu24O1tejINGQJlysBjj8HHH5s5RNlht5vb/UeMMHfn3XUXDB1qJm+D6Ti+ezfMmGF6KIlbsNnteTV+mTOWLFnCwIEDiYuLy/Q4u91OYGAggwcP5uWXXwYgPj4ef39/lixZQrt27di9ezfVq1dn69atNGjQAICIiAhatmzJ0aNHCcziLZ8JCQn4+fkRHx+Pr6/vbb0/ERG5BWfOwIoVsGSJKaKuVrSoKXb+uRUsCCdOmC02NuP+b7/BwYPp5/D0NC0BnnrKTNy+8848fHOS27L6+e2yF1gPHDhATEwMISEhac/5+fkRHBzMpk2baNeuHZs2baJIkSJphRJASEgIHh4ebNmyhSeffPK6505KSiIpKSnt64SEhNx7IyIicmNFi5r5Qi++CHv3wtKl5i61AwdMIRUVZbZbUaAAhIbCk0+akapixXInuzgNly2WYv537drf3z/D8/7+/mnfi4mJodQ/hlHz5ctHsWLF0o65nnHjxjFq1KgcTiwiIrelShV4802zJSaaOUV//HHtlpQE/v5mK1XKbKn7QUHmjjvNQ5KrWFosDR8+nAkTJmR6zO7du6latWoeJcqa8PBwwsLC0r5OSEggKCjIwkQiIpJBoUJm4nft2lYnERdgabE0ePBgunTpkukxFbPZsyIgIACA2NhYSpcunfZ8bGwsdevWTTvmxIkTGV535coVTp8+nfb66/H29sbb2ztbuURERMS5WFoslSxZkpIlS+bKuStUqEBAQACRkZFpxVFCQgJbtmxJu6OucePGxMXFsW3bNurXrw/At99+S0pKCsHBwbmSS0RERJyL07QOOHz4MNHR0Rw+fJjk5GSio6OJjo7O0BOpatWqrFy5EgCbzcbAgQN54403+Pzzz9mxYwedOnUiMDCQNm3aAFCtWjVatGhBjx49iIqK4scff6Rv3760a9cuy3fCiYiIiGtzmgneI0aMYOnSpWlf16tXD4D169fz0EMPAbB3717i4+PTjhk6dCiJiYn07NmTuLg47r//fiIiIvDx8Uk7ZtmyZfTt25dmzZrh4eHB008/zfTp0/PmTYmIiIjDc7o+S45IfZZEREScT1Y/v53mMpyIiIiIFVQsiYiIiGRCxZKIiIhIJlQsiYiIiGRCxZKIiIhIJlQsiYiIiGRCxZKIiIhIJlQsiYiIiGRCxZKIiIhIJpxmuRNHltoEPSEhweIkIiIiklWpn9s3W8xExVIOOHv2LABBQUEWJxEREZFbdfbsWfz8/G74fa0NlwNSUlI4duwYhQsXxmaz5dh5ExISCAoK4siRI1pz7gb0O7o5/Y4yp9/Pzel3dHP6Hd2cI/6O7HY7Z8+eJTAwEA+PG89M0shSDvDw8KBMmTK5dn5fX1+H+YflqPQ7ujn9jjKn38/N6Xd0c/od3Zyj/Y4yG1FKpQneIiIiIplQsSQiIiKSCRVLDszb25uRI0fi7e1tdRSHpd/Rzel3lDn9fm5Ov6Ob0+/o5pz5d6QJ3iIiIiKZ0MiSiIiISCZULImIiIhkQsWSiIiISCZULImIiIhkQsWSA5s1axbly5fHx8eH4OBgoqKirI7kMDZu3Mjjjz9OYGAgNpuNVatWWR3JoYwbN46GDRtSuHBhSpUqRZs2bdi7d6/VsRzKnDlzqF27dlqDvMaNG7NmzRqrYzms8ePHY7PZGDhwoNVRHMrrr7+OzWbLsFWtWtXqWA7lr7/+omPHjhQvXpwCBQpQq1Ytfv75Z6tj3RIVSw5q+fLlhIWFMXLkSLZv306dOnUIDQ3lxIkTVkdzCImJidSpU4dZs2ZZHcUhbdiwgT59+rB582bWrVvH5cuXad68OYmJiVZHcxhlypRh/PjxbNu2jZ9//pl//etftG7dml27dlkdzeFs3bqVefPmUbt2baujOKQaNWpw/PjxtO2HH36wOpLDOHPmDE2aNCF//vysWbOG//u//+Ott96iaNGiVke7JWod4KCCg4Np2LAhM2fOBMz6c0FBQfTr14/hw4dbnM6x2Gw2Vq5cSZs2bayO4rBOnjxJqVKl2LBhAw8++KDVcRxWsWLFmDRpEt27d7c6isM4d+4c99xzD7Nnz+aNN96gbt26TJ061epYDuP1119n1apVREdHWx3FIQ0fPpwff/yR77//3uoot0UjSw7o0qVLbNu2jZCQkLTnPDw8CAkJYdOmTRYmE2cVHx8PmGJArpWcnMxHH31EYmIijRs3tjqOQ+nTpw+tWrXK8P9HktEff/xBYGAgFStWpEOHDhw+fNjqSA7j888/p0GDBjz77LOUKlWKevXqsWDBAqtj3TIVSw7o1KlTJCcn4+/vn+F5f39/YmJiLEolziolJYWBAwfSpEkTatasaXUch7Jjxw7uuOMOvL296dWrFytXrqR69epWx3IYH330Edu3b2fcuHFWR3FYwcHBLFmyhIiICObMmcOBAwd44IEHOHv2rNXRHMKff/7JnDlzuOuuu1i7di29e/emf//+LF261OpotySf1QFEJHf16dOHnTt3ah7FdVSpUoXo6Gji4+P55JNP6Ny5Mxs2bFDBBBw5coQBAwawbt06fHx8rI7jsB599NG0/dq1axMcHEy5cuVYsWKFLudi/lhr0KABb775JgD16tVj586dzJ07l86dO1ucLus0suSASpQogaenJ7GxsRmej42NJSAgwKJU4oz69u3L6tWrWb9+PWXKlLE6jsPx8vKicuXK1K9fn3HjxlGnTh2mTZtmdSyHsG3bNk6cOME999xDvnz5yJcvHxs2bGD69Onky5eP5ORkqyM6pCJFinD33Xezb98+q6M4hNKlS1/zx0e1atWc7lKliiUH5OXlRf369YmMjEx7LiUlhcjISM2nkCyx2+307duXlStX8u2331KhQgWrIzmFlJQUkpKSrI7hEJo1a8aOHTuIjo5O2xo0aECHDh2Ijo7G09PT6ogO6dy5c+zfv5/SpUtbHcUhNGnS5Jq2Jb///jvlypWzKFH26DKcgwoLC6Nz5840aNCARo0aMXXqVBITE+natavV0RzCuXPnMvzlduDAAaKjoylWrBhly5a1MJlj6NOnDx988AH//e9/KVy4cNpcNz8/PwoUKGBxOscQHh7Oo48+StmyZTl79iwffPAB3333HWvXrrU6mkMoXLjwNXPcChUqRPHixTX37Sovv/wyjz/+OOXKlePYsWOMHDkST09P2rdvb3U0hzBo0CDuu+8+3nzzTZ577jmioqKYP38+8+fPtzrarbGLw5oxY4a9bNmydi8vL3ujRo3smzdvtjqSw1i/fr0duGbr3Lmz1dEcwvV+N4B98eLFVkdzGN26dbOXK1fO7uXlZS9ZsqS9WbNm9q+//trqWA6tadOm9gEDBlgdw6G0bdvWXrp0abuXl5f9zjvvtLdt29a+b98+q2M5lC+++MJes2ZNu7e3t71q1ar2+fPnWx3plqnPkoiIiEgmNGdJREREJBMqlkREREQyoWJJREREJBMqlkREREQyoWJJREREJBMqlkREREQyoWJJREREJBMqlkREREQyoWJJREREJBMqlkREREQyoWJJROQfTp48SUBAAG+++Wbacz/99BNeXl5ERkZamExErKC14UREruOrr76iTZs2/PTTT1SpUoW6devSunVr3n77baujiUgeU7EkInIDffr04ZtvvqFBgwbs2LGDrVu34u3tbXUsEcljKpZERG7gwoUL1KxZkyNHjrBt2zZq1apldSQRsYDmLImI3MD+/fs5duwYKSkpHDx40Oo4ImIRjSyJiFzHpUuXaNSoEXXr1qVKlSpMnTqVHTt2UKpUKaujiUgeU7EkInIdQ4YM4ZNPPuHXX3/ljjvuoGnTpvj5+bF69Wqro4lIHtNlOBGRf/juu++YOnUq7733Hr6+vnh4ePDee+/x/fffM2fOHKvjiUge08iSiIiISCY0siQiIiKSCRVLIiIiIplQsSQiIiKSCRVLIiIiIplQsSQiIiKSCRVLIiIiIplQsSQiIiKSCRVLIiIiIplQsSQiIiKSCRVLIiIiIplQsSQiIiKSCRVLIiIiIpn4f4T7/m++Z3F5AAAAAElFTkSuQmCC\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# otra forma de hacer la figura anterior (API orientada a objetos)\n", + "fig, axes = plt.subplots()\n", + "\n", + "axes.plot(x1, y1, 'r')\n", + "axes.set_title('Funcion seno')\n", + "axes.set_xlabel('x')\n", + "axes.set_ylabel('sin(x)')" + ] + }, + { + "cell_type": "code", + "execution_count": 75, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig, axes = plt.subplots()\n", + "\n", + "axes.plot(x1, y1, 'r', label=\"seno\")\n", + "axes.plot(x1, np.cos(x1), 'b', label=\"coseno\", linewidth=2, linestyle=\"-.\")\n", + "axes.set_xlabel('x')\n", + "axes.legend();" + ] + }, + { + "cell_type": "code", + "execution_count": 121, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "[]" + ] + }, + "execution_count": 121, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# diferencia entre figura y ejes\n", + "fig, axes = plt.subplots(1, 2, figsize=(15, 5))\n", + "\n", + "for i, ax in enumerate(axes):\n", + " ax.plot(x1, y1**(i+1), 'r')\n", + " ax.set_title('Funcion seno')\n", + " ax.set_xlabel('x')\n", + " ax.set_ylabel('sin(x**{})'.format(i+1))\n", + "\n", + "axes[1].plot(x1, np.cos(x1), color=\"blue\")" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "I6ksah0F1VUI" + }, + "source": [ + "## Setting colors, linewidths, linetypes and markers\n", + "\n", + "With matplotlib, we can define the colors of lines, type of line and width using arguments of the plot function. Lists of available line colors and styles:\n", + "\n", + " - [Line colors](https://matplotlib.org/stable/gallery/color/named_colors.html)\n", + " - [Line styles](https://matplotlib.org/3.0.3/gallery/lines_bars_and_markers/line_styles_reference.html)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 77, + "metadata": { + "id": "MkwxFxKY1VUI", + "outputId": "a3c4408a-a75b-431a-8e87-6c3d4d4a7ac0" + }, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plt.plot(x, y, color=\"tab:purple\", linestyle=\"-.\")\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "M0FkQGTs1VUI" + }, + "source": [ + "We can also change the default width of the line with the `linewidth` parameter. It takes a float: 1 is the default line width, 2 is twice the default line width and 10 is ten times the default line width (it can also be less than 1 to reduce the default line width)" + ] + }, + { + "cell_type": "code", + "execution_count": 78, + "metadata": { + "id": "M_oTXYFF1VUI", + "outputId": "09449eeb-6f91-41cf-922a-b8156dcc3464" + }, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plt.plot(x, y, color=\"tab:purple\", linestyle=\"--\", linewidth=4)\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "_U5jq12L1VUJ" + }, + "source": [ + "When plotting data as lines, we are just plotting points and matplotlib is filling up the rest. If we want to enphasize that, we can add markers for the underlying points. There are [several styles](https://matplotlib.org/stable/api/markers_api.html) that we can use:" + ] + }, + { + "cell_type": "code", + "execution_count": 79, + "metadata": { + "id": "OVfLGjxh1VUJ", + "outputId": "93787057-bd4a-4560-8134-a772a91a6f12" + }, + "outputs": [ + { + "data": { + "image/png": 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\n", 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig, axes = plt.subplots()\n", + "\n", + "axes.plot(x, y, 'r', label=\"seno\")\n", + "axes.plot(x, np.cos(x), 'b', label=\"coseno\", linewidth=2, linestyle=\"-.\")\n", + "axes.set_xlabel('x')\n", + "axes.set_xlim([1, 5])\n", + "axes.set_ylim([-0.75, 0.75])\n", + "axes.legend()" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "IPMnRjJY1VUJ" + }, + "source": [ + "## Saving figures\n", + "\n", + "Plots can be saved using the [`plt.savefig()`](https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.savefig.html) function. The current plot will be saved. Note that you call this function **instead of** `plt.show()`, but you **can not** call both" + ] + }, + { + "cell_type": "code", + "execution_count": 122, + "metadata": { + "id": "Vu1zJ9UD1VUJ", + "outputId": "db95294d-a6ec-4540-b90c-95a82dd4a2b7" + }, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plt.figure()\n", + "\n", + "plt.plot(x, y, color=\"red\", label=\"x**2\")\n", + "plt.plot(x, x ** 3, color=\"blue\", label=\"x**3\", linestyle=\"-.\")\n", + "plt.title(\"Square vs cubic\")\n", + "plt.xlabel(\"x\")\n", + "plt.xlim([-10, 10])\n", + "plt.ylim([-100, 100])\n", + "plt.legend()\n", + "plt.savefig(\"square_cubic.pdf\")" + ] + }, + { + "cell_type": "code", + "execution_count": 125, + "metadata": {}, + "outputs": [], + "source": [ + "fig.savefig(\"figure.png\", dpi=500)" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "SIQSeUcK1VUJ" + }, + "source": [ + "## Types of plots\n", + "\n", + "There are several types of plots that can be done using `matplotlib`. The main ones are:\n", + "\n", + " - Histogram: [`plt.hist()`](https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.hist.html)\n", + " - Barplot: [`plt.bar()`](https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.bar.html)\n", + " - Pie chart: [`plt.pie()`](https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.pie.html)\n", + " - Scatterplot: [`plt.scatter()`](https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.scatter.html)\n", + " - Boxplot: [`plt.boxplot()`](https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.boxplot.html)" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "RIZegTxt1VUJ" + }, + "source": [ + "### Histograms\n", + "\n", + "Histograms are used to display distributions of continuous numeric variables:" + ] + }, + { + "cell_type": "code", + "execution_count": 82, + "metadata": { + "id": "sERWxUm91VUJ", + "outputId": "7470c87c-137b-4408-9eab-b67ae68e28e9" + }, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "import random\n", + "\n", + "n = 100000\n", + "normal = []\n", + "for i in range(n):\n", + " normal.append(random.gauss(5, 3))\n", + "\n", + "plt.hist(normal, bins=50, color=\"blue\", range=(-5, 15))\n", + "plt.title(\"Gaussian distribution\")\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "QIqLgdAO1VUJ" + }, + "source": [ + "A lot of work is being done underneath to create a histogram:\n", + "\n", + " - Sort the original values\n", + " - Decide how many intervals (bars) to use\n", + " - Count how many values fall into each interval (bar)\n", + " - Plot count of values as height of each bar\n", + " \n", + "It is very important to always test different values of the `bins` parameter, that represents the number of intervals (bars) to use" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "ayWj0Mil1VUK" + }, + "source": [ + "### Bar plots\n", + "\n", + "Barplots are used to display the relationship between a numeric and discrete variable:" + ] + }, + { + "cell_type": "code", + "execution_count": 83, + "metadata": { + "id": "KlQKB_Zm1VUK", + "outputId": "b13ede49-cd99-4622-bf84-5924deb16894" + }, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "x_values = [5, 6, 3, 7, 2]\n", + "y_values = [\"A\", \"B\", \"C\", \"D\", \"E\"]\n", + "plt.bar(y_values, x_values, color = \"green\")\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "ifmP-FNA1VUK" + }, + "source": [ + "We can also use horizontal bars by changing the function to `plt.barh()`:" + ] + }, + { + "cell_type": "code", + "execution_count": 84, + "metadata": { + "id": "K5RfI1OR1VUK", + "outputId": "cda7d104-0c30-42ff-e384-69ed94994a72" + }, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plt.barh(y_values, x_values, color = \"green\")\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "tFnFpdw51VUK" + }, + "source": [ + "## Exercise\n", + "\n", + "Check that the `random.randint()` function is truly random:\n", + "\n", + " 1. Generate 10,000 integer numbers between 0 and 10 (both included)\n", + " 2. Count the frequency of each number (Hint: much easier to use a pandas.Series and `value_counts()`)\n", + " 3. Plot the final count using a bar plot." + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "BKCb9kD21VUK" + }, + "source": [ + "### Pie charts\n", + "\n", + "Pie charts focus on showing parts of a whole. The entire pie would be 100 percent. The question is how much of that percentage each value occupies. The following example shows how to create a pie chart with many of the special features in place:" + ] + }, + { + "cell_type": "code", + "execution_count": 135, + "metadata": { + "id": "dy8YfQCe1VUK", + "outputId": "46b1c42e-dc04-48f4-e1bc-a4152df186a5" + }, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "values = [5, 8, 9, 10, 4, 7]\n", + "colors = ['b', 'g', 'r', 'c', 'm', 'y']\n", + "labels = ['A', 'B', 'C', 'D', 'E', 'F']\n", + "explode = (0, 0.1, 0, 0, 0, 0)\n", + "\n", + "plt.pie(values, colors=colors, labels=labels, explode=explode, counterclock=False, autopct='%1.1f%%')\n", + "plt.title('Pie chart example')\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "lg1ko-Tj1VUK" + }, + "source": [ + "### Scatterplots\n", + "\n", + "Scatterplots represent two numerical variables against each other. They can be useful to show clusters of data." + ] + }, + { + "cell_type": "code", + "execution_count": 86, + "metadata": { + "id": "Loc9MlTU1VUK" + }, + "outputs": [], + "source": [ + "n = 100\n", + "numbers = []\n", + "mu_list = []\n", + "for i in range(n):\n", + " mu = random.choice([0, 5])\n", + " numbers.append(random.gauss(mu, 1))\n", + " mu_list.append(mu)" + ] + }, + { + "cell_type": "code", + "execution_count": 87, + "metadata": { + "id": "m-s1Mcyv1VUK", + "outputId": "bafa628d-2ffb-4082-f37f-ba965f7c43bf" + }, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plt.scatter(range(n), numbers)\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "KUcLrWBj1VUK" + }, + "source": [ + "A very useful technique is to map each point to a different color. In this example we will color points differently if they were generated with the `mu=5` or `mu=0` distributions:" + ] + }, + { + "cell_type": "code", + "execution_count": 88, + "metadata": { + "id": "uEDjZgcv1VUK", + "outputId": "a069c146-f3b1-464d-dfd9-dfda2fdfdbf2" + }, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plt.scatter(range(n), numbers, c=mu_list)\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "Ef8zQYMa1VUL" + }, + "source": [ + "The purpose of a scatterplot is to help you see patterns in data. Besides lists, we can also pass directly pandas Series. Let us see an example with real data:" + ] + }, + { + "cell_type": "code", + "execution_count": 89, + "metadata": { + "id": "Qp1yA5og1VUL" + }, + "outputs": [], + "source": [ + "df = pd.read_csv(\"california_housing_train.csv\")" + ] + }, + { + "cell_type": "code", + "execution_count": 90, + "metadata": { + "id": "LgSlCELR1VUL", + "outputId": "560c3071-7e22-4d1b-d971-405093700fb8" + }, + "outputs": [ + { + "data": { + "text/plain": [ + "Index(['longitude', 'latitude', 'housing_median_age', 'total_rooms',\n", + " 'total_bedrooms', 'population', 'households', 'median_income',\n", + " 'median_house_value'],\n", + " dtype='object')" + ] + }, + "execution_count": 90, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df.columns" + ] + }, + { + "cell_type": "code", + "execution_count": 91, + "metadata": { + "id": "S9VsCkBx1VUL", + "outputId": "32424ab7-5314-47e5-dbda-cf34e502b262" + }, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plt.scatter(df[\"median_house_value\"], df[\"median_income\"])\n", + "plt.xlabel(\"Median house value\")\n", + "plt.ylabel(\"Median income\")\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "asEVdAjj1VUL" + }, + "source": [ + "There are many points (households) in the previous graph. Two useful parameters that sometimes help when dealing with many points are:\n", + "\n", + " - `alpha`: changes the transparency of the points, number between 0 (100% transparent) and 1 (100% opaque)\n", + " - `s`: changes the sizes of the points" + ] + }, + { + "cell_type": "code", + "execution_count": 92, + "metadata": { + "id": "bG-WGqbL1VUL", + "outputId": "e7777f9d-935f-417e-c9c9-7a87425998dd" + }, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plt.scatter(df[\"longitude\"], df[\"latitude\"], alpha=0.5, s=10)\n", + "plt.xlabel(\"Longitude\")\n", + "plt.ylabel(\"Latitude\")\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "y2FiE1-X1VUL" + }, + "source": [ + "Again, we can color the points by another variable, for instance `median_house_value`:" + ] + }, + { + "cell_type": "code", + "execution_count": 93, + "metadata": { + "id": "MiVA4HUO1VUL", + "outputId": "635b76ea-7506-40da-b028-9bbeb5832885" + }, + "outputs": [ + { + "data": { + "image/png": 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Lv4xFEZkCsqpgtym4fQ6a2mveTLCeCXg+9OmNvPrkYcLjMbqWV3LHgytweS+/RLPhvmUgBKcODqBaFFbftZiula0XPLbn4AClfInmznIQNNo3ycm9fXMOcqbGogx0j1PXWonDZUMraYycCTHWP0XH0qY5XeNyAtVe+k+MopV0QJDPFglUX36mKDKZIJct0DpzbzUNQWJTKZKxLFV1ZpBjMr1fmctVN54Z5MyB02Vj+epWSrt6yWQK6EUdWTfeTG2XZYRuUMiXcKrqebM4mVyRSDyDzapSHXTjdl357i+rzULDvGqO7+lDVmQKuSJWm8r6uxcxf1n5Q3ouSzf93eO8/uxRUokcTe3V3PXgSjx+J5MTcQxhUFHp4cyxUaZGo4iSjqob6JpOpqRwcOcZolNpvH4H6zcvmS0OWFXn51d/szzzdiXLR1abhTs+vIbbZ5bFrmhX2Lvwb/ctW5YyNRZlpC8MQOuCetZtXnzZ8xxuG4qqkE3lcXrsJOMZbA4rzqv4OTGZTO8dBhIGV78b9lrO/aAwg5w5kGWZrb+yEoD9O88gC1HOOREAEiBAkXF67NTXn7tMMzoZ52cvHyUcTWFVFdYsbmbLxgUo8pWVKJIkiXseXYOu64z1h7HYLNx6/3LmL2uac3AwORbjqe/vIp3I4vQ4OLzzDIVciUd+43YcThu6LtA1g/HhKYQhkGQJi02lkCshNB1NV0ilC6y8fQF3PbTqvNeVJInoVJKBUxMIQ9DSWUtVnX9O93Y5C1fPo/foCMOnJ8r5OxaFxes7LnveWVUNQdoWNXDqQD8Op41ctkjbwgYa5lXN+RqXE6z28pHH7mWsvxzkNLbXzC5dXUr7ogaWrpvHsb39hMdjONw2Nm2b22yYyWQymS7ODHLmKFjp4aOfvY3OhfX8z//Pj0lEM+izRQoknEEnjbV+mlreXK7SDYOnXjvBeDhBY42PbK7E64f6aar1s6Sj/orH4Au6efQ37yKTzGOxqXOqRfNW44NTJCJpWjprkSQJq01lpH+SVDzL0hXNnO4eZ2RomkKx/PuBUtLRDKMc8CgSNQ0BWrvqiMcyF5xImRyL8fPv7CA8HkcAlTVefuUzt9HYdu2BROfKFj7E7Zzc248Qgq5VrSxe1z7n8y1WlW2f2URlnZ/waJRgtZd19y69bvk4ZzndduYva76icxRV4f6Pb6BrRQu5dIGKWh8N1+E9M5lM727mctWNZwY5V0BRZFbd0s6HP7mBp3+0j2Q8S6mk4fI56FhUx11blrJg+ZsfcLl8iUg8Q4XfidWiYrWoRJNZooncVb3+dCjBVCiO3W6luePKd94oqoKQysX9yjuxNBRFQbUouL0OPvLJDfSeDnGytYKn//0NUrkCpVJ5l5TL66BrZQtWu5VSUUMr6VjfVgfn4GunmRyL0ToTRA2dmWT/9lPXJciRJIkFq9pYsKrtqq/h8jq4+9F11zyWt0snshx4tZtYOElFnZ/VdyzE6b6y4ElRFeZfp9wgk8n03iCEhBBXv+R0Led+UJhBzhWSJIlHf30TS1a3EZ1OYVEVquv9eHwOKqq95yy92G0WPC47k9NJvC47uUIJSQLPVeRanD42yrOP7yURyaBaZJauncd9H113RcXm2hfV09JRw+Dp0Gzi8K1bluLylD+QPV4HK9e0sWxlCy0tFbzw4/1EwwlyBY2WzjpUm4XIVIolq1txOM+fRcqm89hsFuSZpTi7w0I6dXUB3XtFIVfkye++xpkjw1jtKsWCxuRIlA//xp1mIUCTyWR6h5lBzlVQFJlFKy6/JKEqMvdtXMjPXzlK/2gEVVVYuaCRJR0X3iZ9McWixitPHiKbytPaWUMuU+Do3j7mLaxj0arWOV/H5XHw8Odu5/i+frKZAlV1fhavaTsvJ0ZRZG67bzm3bl0GwIkDg7zx0kkK+RLL1rZxz6+snD0nmykQnU5hs1toaKuk+9AgsakUkiyRyxZp7qi5ont9tygVNabGouXKxQ0BVMuF/6qMD04z0D1GY3s1VruFXKZA37ERQsMRGq+ykrXJZPpgMGa+ruV806WZQc4NNr+lis9/+BZCkSQ2q0prfQWqcmVJx7l0gWwqj7+iXC3Z6bZjTMRJJ/NXPB6P38mGe5dc/kDeTAhesqaNhStb0DUdq+3N3mGjQ9M8/eP9RKdSWKwKy9e2sf6eRXQfGMLQDdbesYD1d19+S/u7TSqe4envvMrgyTGQoH1pMw/8+h04PecvQRl6OWdJnvmeynK5tYUQ5v9+TCbTpQkkxDXskLqWcz8ozCDnJqjwu6jwz70mztu5PHYClR5GB6ewWFWy6TyqRSFQ6b7iawkhSKfySDPXnevOLEWRz6mro5V0nv/5IcKhOHUNQbKZAvt39vLhT23g1i1LEULgdM/9+m8f44ndvZzc2wvA4vUdLFp/ZdWNr8Wupw9z6kA/dW3VCENwYs8ZKhsC3PnI+fk8da2VNLZXM3wmhMvjIJ3M0b6kkeqGuRV5NJlMH1xmkHPjmUHOe4BqUbj30TU888M9TIcSWG0qt967hPZFV7ZDK58r8uKTh+k+OkI2naetvYYHP3ELgYorD5aymQLxWJqKSg9Wm4rVppKIZkhEMziXNF7x9d7qxO5envrOdnTdACHKMyrA4lvmVvjvWk0OTeP0OGa3f9scVqZGoxc81um28+Cv387rTx8hMhGna2ULt25bge0Kd76ZTCaT6fozg5z3iIbWSj75pc3EplPYHVYCVZ4rntnYvf0Ue3b0EJtKko7nOH1slOEzIb74fz9IZa1vTtdIJbJMhRIgSbhcdibHohQzeTTNAAncF1jSuVLd+/rQdYOmmQafI6cnOLW//6YFOcEaHwNnKxcLQTFXumTl4mCNj1/53O03ZWwmk+n9w8zJufHMIOc9xOGyzam43MUMD0yRSebIZwpUVHtJpXKMDk2z+8UTfOhTGy97/sjAFE8/vo+pyQQWi4IsSfTs6yOTyqPIEovXtNKx4MqSqi9IAt7St+xmtzC75YEVTI1FGe2dBKBtcQNr7116w16vmC8xPRFHVmSq6v0oqrkry2T6IDC3kN94ZpDzAeL2OsimCyiKjCSDYQhcbhux6dRlzzUMg5eePMzUZILG1kpS8SyvPn2UQr6EpKgYCE4dHuHfvvU8SzYtoKrKy7x5VVeVR7N4XQcDx0cZ7pkAyu0fFq6be3Xja1VR6+cjv3c/4/2TIEnlysVXWPdmruKRNE//+05GekNIkkznimbu+/iGKy70aDKZTKbzmUHOdZLLFNjz8knGhyN4Ay7W37VwTi0Nbqb1m7o4uPM0/T0hiiUDt9uG026lZg6d0PO5EolYBn/QhaLIZDMF8vkiCuDz2SnpBslYlpefOMxIpojNZuHezYtZu3beFY9z4bp2kCS69/aCJLFwbTsLr+I618LldTB/ResNf53XnzpM77ER6lur0HWdY7vOUNMQZMPWGzdzZDKZ3h3MxOMbzwxyrgNdN3j+J/s4srsPh9NK34kxJoYjfOw/34X3LZ3Gk9E04/1hFFWhqbMWu/PmNmBsaKngi3+4jZ99dyfjQ9O43FY6lzSxccvlt5TbHRb8FW5GBqZweezlGRxJQugGAkGpWMIQAiRBwGOnoBu8vvM0S5Y04nBYKeRLDPdOomsGtU1B/JdIdpYkiUXr2ll0BW0b5kIIQSFfQlWVd02hvsmRCG6fE/tMcUXVojIdir+zgzKZTDdFOSfnWhp0mi7HDHKug0QkTe+JMarqfHh8TnTdYLg3zHBvmCVry20IQkNTPPGPrzA5HEGWJVoXNvDQf74H98zxJw8MEhqN4nDaWLK27ZJBwLVobK3it//oQaZDCYSAihovFuvlfwxkWeaeD63g6R/vY3y4vNOouj7A9ESUdLJAUdMRhkEiW+L1F05S1xyksb2afL6EoRk8+e876Ts5jhCCqjo/H/rkBhpab15/pkwqz8s/289AzwSqqrDu7oWsvn3BTduWfjHBGh/jg9PoNT4M3aBY0G7Y995kMpk+aMwg5waRJHhrgP7aEweZHJqmuaseXTPoPTrMoe0n2fTQGna9eJwdTx1FCIGm6Zw+NsKvfuGOc2aBrkYqniURTePyOghUemYfV1RlTktUb9fYWsknfvNOpieTWG0qyUSW//i7lxnoCRGdToHdiiXgpqQbDJ4J09RSidfrYN/2U5w+NkpjWyWqRWGkd4odTx/l4799zzXd35V49cmDHNp5mkCVh1w2z0s/3Y/H56RrRctNG8OF3Hr/MmLhJCO9k0gydC5rYuWmrnd0TCaT6eYwl6tuPDPIuQ78lW7mL2nk8K5eUvEc+VyRhtZKWt7S0iAWTuDyOZEVGVmRUa0qyWiGfLbIoZ29uDw2Kmp8s7NAvSfGWHVb51WPqefoCC/+dD+peBaHy8Zt9y9l9W3X/uHp9jpwex0A1FPB1/7fT7N35xn+f//P09gdVrLZIrphUDAEzU0VKIpMKpFFlqXZaslun4PYdArDMGb7XN1IuqYzcGoCX9A9G+wNnppgYjjyjgc51Q1BPvrYZiaGIkiyRGN7tZl0bDJ9QJhdyG88M8i5DmRZZsuja/FXuJmYSTxee8cCPH7n7DF1LVUcGjiJ2+9C13T0kk5lQwBd19F1A8tMbyRZlkCApulXPZ5UPMuLP91POpmjpjFAbDrNq788Qn1zJXXNFdd8v28lyzIVFW5k3SAXyxCs9lEo6RSsGs0t5dcKVpVrzKQSWSzWctHApevm3ZQAB0BWZOwOK9OJOFDOoTIMgdVuufSJN4nb52T+MuflDzSZTCbTFTGDnOvE7rRy+wPLL/r8pg+vIZ3IMnx6AlmWWHnnQlbevhCLTaWtq5Yju/ooFTVymQLeoJPGtqtv7piIZUglstQ0BLBYVarqfAydniQRzVz3ICedzLHn+WO4hGByKkk2ksZZ7WXdHQtYs6G87XvZ+nlMjkbpPjSErueYt7COOz604rqO41IkSWLDliU8+4PdDJyaQAhBQ1vVFTU3NZlMputNIF1T4rG5XHV5ZpBzk/grPTz6pS1EQ+WibxV1gdleUJsfXoPVZmHodIhgtZeN9y6mvuXqgxG3t9ySIDadpqrORyKaweaw4vbOrdZLLlskNB5DkiTqG4NYbRf/MTm+p4/+7nHW3d7F9FSK4d5J6por+K3f34J1JqHZYlW572PrWHvnArSSTkWN95xGnzfDotVtuDwOxganUC0KncuazQRfk8n0jjKLAd54ZpBzHWVzRY6dGCWXK1JZ4WFhV905TS2tNgu1LefvKHJ57Nz/sfUIIa7Lbh9/hZvbH1jO9icPMXh6ErvDyrq7FtLQdvndTNHpNE88vo/R4QiSBO2dtTz4q2twXaQYXjaTR5YlbHYLDU1BHDYVRVVml9/OkmX5htUNik6nyaTz+AIuvD7HRY9r6aylpbP2os9n03mi4RQ2u4XKOt87vvPKZDK9v5mJxzeeGeRcJ/l8iZ/+4gA9Z0KAhKrKbNo4n7sus005ny2QjGWw2FSO7u6n78QYdqeVtXcuZP7Sq290uXLjfOqbK4hHyrurGlor5/Sh/fr2bgb7wzS1VmLoBqdOjlG7K8Cd9y6+4PGVtX4kWSY2lcJqU4lH0iy7peOc4O5GEUKwf1cvr7/cTT5XxOtzsuXBFcxfeGWNSwHGB6d5+j92MR1KYLGqrLx1Pnc8uPKm3IfJZDKZbgwzyLkOiiWNw8dH6DkTorEhgNWqEo1lOHBoiFUrWvD7LpxUOtA9zvM/3E0yliESSqALqG2ppJgvER6L8cgX7qD5LTu0rlRNY/CKt4pPTyZxuW1YLApYFKwWldh0+qLHL17TxvRkgoM7ekincnQub+auh1Zd9ZivxPhojFdfOIEsy9TU+ZkMJXj+l4epawxeUaNQXdN54Sf7CI1EqW+pmKle3U19ayUL3uHdVyaT6f3LuMacnGs594PC/DX1Gp0ZDPP3//E63//lfk4MhBgdi6KVdGw2FU3TKZUuvEsqk8zxzPd3MjUewxtwMh2KE5tM4HLbaJxXRSqeZfjM5E2+G6iq8ZHJFCkWNfK58r+DVZfIXZGkcjFBRUFSVBSLinyTZj/i0Qy5TJFAhYtkIosiQWQqRSKevaLr5LJFYtMpKqrLuUK+oBtd04lHLh7cmUwm07U6u1x1LV+mSzNncq5BJJ7hX/71NULDEZKJHClNY09yiNBwlIoaHwsW1l9wFscwDF599ij79w1hd1opIGF32UlF0+QzBZweB0KImxYsvNVtdy8kFk0zMlTOyVm4tJE1t1y8OWb3wSFef+44Tpcdl9tO96EhbA4rvzKHrubXyuO1IysSh3b3k03nyBc0XC4b6UQWmuY+g2V3WHF7HUyNx3H7HOQyBWRZwu25eH6PyWQymd79zCDnGmx/7ih9+wbRijr5fBGnTSXrthCeStLYGOTB+5eXl33epvvICPve6AMJioUSExMJLIqCAKYmEiQTearq/cxfcvU5OVcrEHTx0c/cyuR4HEmWqGsIXPAezgqPx9A1g4qaci2cYlFjpC+Mrhs3PJ+lqbWSyioP3UeGsdoseLwOXE4Lh3b10nUF751qUbj7w6t55j92M3R6EtWqsHR9O10rmq95jKlYhvh0CpfXQbDGd83XM5lM7x+Ca9xdZc7kXJYZ5FylYlHj9OERFItCwTAwVJliqoCsSqg2G6WchusiDTjHR6PIikznkkaGTofIZAoIVeGOh1ZR21SJzWll6bp5VNX7b+5NzbDbLbTMm1tfKbvThmEYaJpe7k6ezlPfUlkuavg2WkknFkmjqgr+CtdsIvRo3yRvPHuUVDxLQ3sNm7atwDWHnBpJkmhtq2SouZKqOh92h4VCtkh0On3FO9XmLazn47+zmanxODa7hab2ahT12pp49hwa5MUf7CIVy2B32dj04CpW333hBG6TyfTBY+bk3HhmkHOVDN1AQkIYEtl0Ea2kgy4Q8TxpuchpdYKXXj3JvXctxmpVmZxMMD4ex6IqSLKMoRvUtVXj9jkZGZyitiHIr//BNhTl5nbHLhY0+k6HyOdL1NT5qL/CROUla1o5c3yUkb4wAvD6ndy6dcl5AUY8muGZH+1ldGgaRZFZuqaNu7YtJz6d4onvvkY0nMTptjM2cJx8Os+vfP728yoiayWddCqH3WGdbX1QUe3D4bRgs6qoisxUPMfS1dVXtf07WOWdrc58rVLxDC/+YBfpRJaa5griUyle/dl+6tqqqZ/DVn6TyWQyXTszyLlKFqtKtqhRKpSgZCCVDJBAyhsIdGLDMf7x+6/RfXyMtStbOXh4uJwQK0FdrY/KOj+DfVNIUnkX1AOPrr3pAU4hX+IXP9rH6e5xDMPA5bZz30MrWbysac7X8AZcPPobt9N3cpxCvkRNQ4DmjvOrNb/69BFOnxijtjFIqaixZ/spKmt9SLpOZDJBa1cdkiThcNno7x4nGcueU6xvuD/Mj/9pB9FoGr/fyZaH17Bs3TyWrW1jcjxG95Fh9ITBvAW13HmJytM3SzKSJh3PUtVYrjpdWe9n6NQEiemUGeSYTCbA7F11M5hBzlUqFjQ8ARcul514OAVCgCKXO48LCV0IYuEEr79xiqN7+mmeX01HRy2apjM8HOX2TZ2sdXSgazoNLZU0v215KJPKc2RvP6lElspaH8vWtp1XYO9anToxRs/JMWrr/VhtKhNj5S3Z8xfUzVYrnguXxw6yxME9fRQKGs3zqtj84Ao8M0nXhmEwOjiNL+jC6bYBNmKRNNOTCWqqyzMnhi5QVAld05FlCWVmuUsIwb5XuvnmH/2YZDyLarXgqvKQjOcIVnlobKvi/kfXsG5TJ5pmUFHluenVlC/E5XOWq06Hk1Q3BklE0tgcFtx+s0eVyWQqM4sB3nhmkHOVrFYVRZbIJrMI3QAESBLoBsgysibQcjpZLUcxncYfcCLNl7BYVCRJQlZk1m26cJfxfK7IL76/izMnx1AUGSFgcjzOfY+svmxTSyEEvacmCI3FsFhVFi1rwnuRD9ZctogQAttMo0qP10E+V6SQL10yyInHs5w8OUappFNf70c2BM//4hBI5Z1KR/cPIITg4U9tLN+rLOMLuhk8EyJQ6UHXdIQhcHvstC2sp6GtiqGeCSw2FV0zWH/v4tlgYKB7nH/7m+dITKeQZAktVyA1odMHjA9FaGyrKldTrvVf9nt2wfdpNIbVprJgaSO+gOuKrnEp/koPtz+8hld+vJehUxPYHFbW3buMxmuoe2QymUymK2MGOVdBCEEqkcFjkZEE5RkcAE2DggYOO7IhwDCwooKA8FicZCKLphsoikTlJXI/hvrC9PeEaGqrwmJVScaznDw0xLpNnVReZofOwT39vPjLwxQKJYQh6D46zKOfuvWCgU5ltQeLVWU6nMTpsjEdTtLeWYvTdeGEaSgHOI//aA8jI1EkqZyk3FTjI58r0jq//AEuASMD0xRyJezOcu7M7VuXkIhmGO6dRJIl2hfWsWztPFweOw9/4U4O7zxNJpmnrrmCZRvnz+bUhEajxKZTIMuoVhUQaEWNfCp/TpUnwxCc7h4nHs3g9tjpWtxwyV1hh/f288IThyjkShgCThwa5tHPbLyugc6KTQuoa6ks767yOWmYd3W5QiaT6f3JEBLGNeyuupZzPyjMIOcKGYbBzmeOcGD7KQ7tPE18PIFsUUCWMSSBJKSZnT2gWxQKBlT5HPiDTlKpPDa7hdtu62Tx4oaLvoauGQghUFQZraSTjGVIxLOExuKXDHK0ks7uHaeQFYm2jhp0TWdoYIqeE2OsvXU+MBOgJcv9pubNr+HOLYvZ8/oZUskcre01bHlwxSW3fnd3jzEyHKG1rQpFkZmYiHO6L4wiBJqmo6oKuVwRl9uO+pYgo7m9ml/7z3cwMRxFUWXa5tfOBkCBKi93fXjNBV/PalNRFBnVImMYBoZuIEQ5wXnx6rbZe9r+wnF27ziNpulIksTy1a1se3g1inr+veiazp5Xe8q7s+bXoOsGw31hTh0bZf3tXRe996tR01xJTXPldb2myWR6fzCXq248M8i5QmeOjrDz6SOEJ+JMjsfLq1S6gVAUZAFCAhQQugBVwrCoBCq83PehlWy4ayEWi4LX67jkb/T1zRVU1foYPD3J1GSC6FQal8fO8784iM1huWhvJk3T0Uo69pnlJ0VVkCSJUlHDMAQH9/Xz7BOHmJ5KYrdb6VrUwN33L+ULX2ohlczi9Tkv2ohTK5WvXSxoSLI0GwjZbCqy7KCy1s9I/xSSJGFzWNhw14JzghyAiiovFReZwUpEMxx4vYd4NENNvZ/Vm7qwO6x0rWiha1kTh3aeoVjUkCUJZ8DFx3/zTlwzM06RqRQH9/Tj9tjxB11kMwWOHx5m6cpm2i6wPKRpBsWiNrtMpyhy+X26SHVqk8lkuhHMIOfGM4OcKxSdTJDPFek+OFRONhYCdAFCBVkuBzm6QcmtYlEsuH0OOte0snnbchwXqZvzdv6giwd/bT3f/z/byfRO0txexbyuOiJTSXY8d5z2rtoL5ubY7BZa5lVzeP8AQkAuV8ThtFLXGOTQ/gH+/R93EArF0TWdYlGn78wkJ06MsqirlkwkA8CSNW1s2rJkNkARQnB0/wC7XjpJoaBhd9tQJYnx8Th2u0oslmH16jbuvnsRPcdGKRZK1DYEaLtEt++3y6YL/OJfX2fwdAirzcKJfQNEJpNs+8QGPD4nv/31R3jiX1+j5+godpeNez68mlvuWTR7fiFfolTU8M8sNTmcVjRNJ58vXfD1rDaVlvZqDu/tB8o5UHan9Yq3z5tMJpPp3c0Mcq6Q021naiyGMIxyojESQpJmt/IJCSRVRnLZ8Ve6aagPsnLdvDkHOGc1tFSy/o4F5LLF2YDBlXeQSefRSjpW2/lBjiRJbP7QciQJhvqn8PtdbLxrAS3tVbz0v4+Vgx6HlVQqhyzLKBaZqYk4r4xGWbagHqtFYecLx3G6rKy/cyEAQ71hXvj5QQwhcDpthIYjBKq9KF47pZLO6tVtbL53CVPhJFlNR7GqeCvcV5R7MtIXZrgvTHN7DapFIZ3McfrYKBvCSarq/PgrPXzmKw8ghJi9z7cKVLiprPYyPhajotJNIpbFH3BRfZGlvfL7tAJZkhjsC+MLuLjljgW0dZpJwSaT6eYxiwHeeGaQcwWKhRJT0QzxnAZ2G0LTkPTy1nFJlhCyhFClcpKsTQGjXATPepX1byqrvagWheh0CpvdQnw6zcIVTeWGmBfh9jh46NduoVjUUFUZWZYRQmAYAtUik0oW0XUDWZbKu8JmojO3z4HHbSefKzHcG54NckJjUXLZAq3zZ2ZmpPLS1ec+fStCCJ76/i7+89b/h1Qii81jp3lNK/M66/nIR9dRVT23wnqGKI8jnysy0hMhEcsgA9HpNFV1/tnjLhY4OV02Hnh4Nc//8jCxSJqKKg/33L+UiirPRV/T5bHz4K+tp1jUUBT5hregMJlMpvPMLAZcy/mmSzODnCvw2vPH2fXKKTwVbiKRNKgKoqRTTswB3aYgZBlrtZNghYeG5kr0kkGxoF3V6y1Y1sht4cUc3NVLOplj/uJ6Nj+4ck6zJG/dAi5JEouWNnFw3wDpdIFioYQkSVQ3+LGoCqV8CZtVRQhBqVjC8ZbdVVarBSHKgY1qUcjPLIF1Hx/jh//0KicODCKKGmgGhXyanpe7CU0mmJpKcuumTjZsmD+bO3Mxja1VVNT62Pf6GUolDQTYvXZ27eihpaN6trrxpTQ0BfnMf7qTbLaA3WG95M6qi71PFyOEYGBwmlg8g9ttp2NetRkUmUwm03uAGeTMkVbS6T46isfnYOGKFqLhJMlEDqFI5eJ/NgvCZcFa5cJltzO/o5ampiADgxHUq/xAlGWZTfcuZuX6eRSLOj6/87xk3rnyB104nVZq6/xkswWy2SKKLNPeVYuRLjA6MA1AZY2XlRve7DretbSR4wcH6OsJIcsSDqeNilo/P//RHk4cH8OwKGBRoFBCKmoUizrh/inyEoyMxzjRPc5vf/GeSwYdHr+TtXct5NjhYbw2F96Ai9rWSsbHYoRDCZrbqsqJz5qOzW65aJCnqDIe7/XtHC6E4LWdZ9ixs4dSqdyfa82qVu67d+kF+3O9XaGk8cbpIcYiCbxOOxs7W6j0Xr9t6iaT6b3LTDy+8cwgZ44kWUJR5dkeT4vXtrHntTNoqoKwKKDIKJTrtSgyJOJZiiWdpoYgC7rqrv51JWm2cvBcGIYBcF5iciKWwR9wsWJNedv1VDhBPlfiC1+8B6OkM3A6BMC8rjqq39IYVFZl3JUetL4phCFYurSRUCjO4JlJDEMgzgYcNiu6JCOVNHRhECsUMGSJXXt6Wby0gc13XroxZWWtj8bOWqprfdjsFnLZIrIsIUkSh/f288Yr3ZSKOs1tledUU77RItE0u/f2YrdbaKgPkErnOXBokEUL6mltufTWcCEETx44yc6eISyKQqGk0TcZ5fN3rcHnvHwDUpPJ9P5mBjk3nhnkzJGiyKy8pZ2ffW8XJ4+PEo9nMFQFTS3n40gyiCJIYylsHQ6MdAmXx0lztZfuoyN0dNZS85b8kutNK+ns3t7Nsf2D5Tox6+ex7vau2WWVswX+CvkSVptKIa9RWeUlGHSjqDI1DYELXvf17ac4dniY6jofWsmg++Q4yViGWDaPbpeRNIFkCDAEhiojKRZKdhlD6CRLBRySwpGTY5cNcuqbgnR01dJ9bBTVoqKVdJasbCafKfDCE4eA8q6powcGAfjwJzfclMJ6uVyJfFGbbT/hdtmYnk6RzRUve240nePoUIhKj4uAy4FuGPSHo/SGplk9r/FGD91kMpk+8MwgZw4mJ+IMDU4zMZWiZFWw+xyIXIGibpSzxjSBECDJAooGejxLVUctPUdHiE7E8XgcHNzbz6Mfv+WGbFPWdYNf/Ovr7Hz+OC6vA7vHzk++8xqDPRPccf8y6lsqWbSkkd6eED0nxzAMgdfn4K4tSy5YLO+t+s9M4vbYCQTLzTIH+iaZzudJeRSQVCTNwJLSkAs6kmYgDAMlLxAZg5JboFjebEF3pmeCPbv7yGYLtHfUcNvtXdhm+kxZrSof+tW11DdVzCYPr1w3j0O7+8rVlGfq3QgBwwPTFPKlOeXqXKtAwEUw4GJiIk5VpYdYPIvX66DyLc1DL0YIgSEEykwwJiEhyvGgyWQymburbgIzyLmMocFpfvH4PqKRNFPTKRLJHL5KN5LTCoUSCAlhGMgS5W7kApKxLJNjMYpFnWClh8amIAO9YQ4fGLzuQY4Qgld+tp9n//11UvEcFpuKbFXRJJlXYxnCIxG2fXwDHUsaeehX1zLQ10KhUKK2zk917YW3WOcKJV490sdwOMbpVAJ7RqdSeBECovEMU9kchkUGXSBZZUoeFQUJtaSX21loYEkXMGwyhl2la34doyMRnvjFQbKZAja7hR3buymVdJYsaWTf7j4y2QKtbVWsu23+OcnAVptajiNnqinnc0U8Xgeqen06tgshGOoNE4umcbnttHfVorzl2m6XjW1bl/H088dIJnN43HY237UIl8NKIp7B43VctJ9YwO2gq76K/f2jpPNFMsUidQEPbdUXnjUzmUwfLEJIiGtozXAt535QmEHOZezZeZpYLENbexWyKjM2FiVfKlHfECCZyGHoBsgSoqShlHQwBKWSQSaRQ1Vl7A4rkiRhsSoUcucWpysWNYb7whSLGjX1gUtueb6Y8FiMN545QjqRo5Arks/k0TSDQFMllXU+sqk8b7x4go4ljVhtKl2LLlwt+SzDEDyx8wR7Tw3jtFnJWAwmi1nEmRBWWSYvBHkLiKIE6kx9IAuoko5gpnSQIiMZQMnApqrcuq6Dk0dHSCZytM2rQpIkoqrCoQMDdB8fI5nIYrNZ6DszSTZT4N77l80uRXUtbeTEoWGG+sPlXlkO6wWrKV8NIQS7Xz3Fa8+foFgoISsyK9e3s+XDq87ZPdXWWsUXPruJVDqP3Wbh0J4+XvzZQTRdp6Wtii2/shLvBXKEFFnm4XWL8TpsDE3H8Tsd3LVkHpUeM/HYZDKZbgYzyLmMdKqA01He0VNd7cVms5DLl0inC9TV+xkbnEYyBHJBA0MgJBAljXQ0hb8+CEIwNZlACGhtr5q9biFf4pc/3EPPsVF03SBY5eGBX117RZWCAQq5IhND0+XZD6lcPdjQdPRCidr6AFpBI5vKzfTTunzUH0tn6R6epCbgweeyU1/h4YQaoqupjs66Sn684yjqYB4pU+5gjiKVqzyXdCRZAgOEoiAUGTWrEXQ5GBiYmtmJNLOsJ4GmG6RTeXKZIu0dNeXAJ5Lm5IkxNt21EMfMUpTH6+CRz2ycqaaszVRTvj5F+2KRNLu3n8JqU6lrCpJO5Tmyt58Fyxppm3/u98Fms2CzWTh2aIgdL57E5bLhcFg5cXgYq03lVz66/oKv4bbbeGjtpfORTCbTB9Obi/lXf77p0swg5zLa5lUxPDhNPJZB1wX1dX5SuSIun4OKoAubIjPYPYGkz1RAliWkTBEtmcfXopCKZqis83PLpi6WrWqdve6Jw0OcPDJMbUMAm93C6MA0rzx9hJaO6osuf7zVaH+YodMhivnSzA+6wBdwYWgGQjPK/bGEIBnP0LV84ZyTdCUkJJitLiwAh8PKkmXNrJzfwBtnRphOZknFs2hG+QA5p6HmNIQqIyQFIYOcyiEL0KIZ0uk8ixbUc+jAIAP9YVS13CuqY34tQwPTs4HP2X+/fawer4M1Mw1Gr6d8tlhOwK4tJxW73DamQwly2YsnFU+FEuiagS/gIpvOY7GqHNk3gM/twO60smhFM54LdHw3mUymtysHOdeyu8p0OWaQcxkbbu8iky1w+tQEsiSx7cOr8Pid7NndR6mocfe9S/hJT4iUIZBlIFdE0su5KdW1PqxWlU985jaC1ecuRWVTBYDZ5Fmv30k6madY0C6bUNt/cown/20niWi6XDjPZSOXKSB0g4oaL0aVoLoxQKmks/yWDm7ftvyy9xmNZejtD6PrBk1BHydHw6SyBXLFEs3VftobKpBliXVLW4gmMmRiWUITcSga2KNFUGaSayWQdQNFM0DTyYTTpKNZKis9PPqx9Rw9PEwhX6KxuYK6Wh8//uEeBgemsFlVSprOxk2dsw1GbzR/hZtApZvJsRiVNT4S0XKOTeUlKjXbHVZSySwv/mx/eblSgFWVKSZzWKwWTh0Z5pFf34THd33r9ZhMpvcfQ0gY15BXcy3nflCYQc5l2O0Wtj20irvuLSJLEg5nOQBZubKFYlHD6bRx9OkjHNvXX47KjfKykMVhwetzEItkyGbyBDk3yPFXuFAUmUQ0g81hIRZJ0b6gfrYz9qXs33GKTDJH24Jy/R1d06ms86MqMharwrINnWy4bxmSVO61dblZnPBUkh/9fD+hyQQAPp+DNR0N5CUDn9POrUvb8LvLH9obV83DZrPQ3VrDUz/ZR2QgOtOYVHA2KUfJlZAMEDqUSgbJSBqAmhof925des5rP/yRdRzcN0A2U6C5tZLV6+Zd9v6vF6fLxv2PrOa5nx0kEcvg8ti5876lVF9iq/+8+TWM9k8Ri2aQJQlDNyjkSoz3hVl6SztDvZOcPj6Kr8LN4f0DFAsa8xfUsWr9vHMSmk0mk8l045lBzhxIknReawKrVZ3dBXT7gysZ7gtTypco5EuoNgVvhYfYdLrcE+oCyxcLlzczORbj8N5+Muk8TW3V3PvQ+S0bikWN4TOTlIoaNY1BglUe8tkiVrs6e6zdZWPByhbufHAlsiLjDbiuqIbMgSPDTITizGutQpJgcDiCkdb49Y+cn2eiyDLrlrawbmkLpbEUT4UPkk0V0DUDSZFAN5BKBhgC2SIjKRK9Z8IXfe36hgD1b6nRI4RgbCgyG3Q0zyQq3yhWVaGuyo1TgXmLG1iw9OL1a6anUzz+wz0kCiWEXcUqyxQTWYQhCI/H6T44iNPjYHw4wo6XT5JJF7BYFAbOhCiVdDbeueCG3YfJZHrvMYsB3nhmA57rYNP9y9l4/zIaOmqoaa3CFfTi8thxuu3c/eBKfIHzd9MoiszdH1rBr//OvXzmS5v5+G/eSVWt/5xj8rkiv/jX1/nR/3mFn/zTDn7wv19i6EyItoX15LMlIqEEU+PxclJzVx2+CjepSIq+w4PEJuNzHn82W8BqVWcrDDvsFjLZwiXPiUfTRKaSOG0W/H4n0tlOc5IEhignIVst2B1WXL65V/fdv/MM//GPr/KTf3uDH/zTDl599thsftDVikXT9PZMMDYSwXhLkZrJ0Sg//T8vc3BHN8OnJ3jlJ/t447mjF7yGrhs88/QRhkejWGQJBBRlCTHzV0hRZYr5Eslohlg0TTKRo7mtkvqmIDa7hWMHB6/5Pkwm0/vL2SDnWr6u1l/+5V8iSRK///u/P/tYPp/nscceo6KiArfbzaOPPsrk5OQ55w0PD7Nt2zacTifV1dX8t//239C0c/szbt++nVWrVmGz2ejo6OC73/3uea//7W9/m9bWVux2O+vXr2fv3r3nPD+XscyFOZNzFRKxDMl4FrfXQaDCjcfn4NO/u4WTB4fI54pY7RbqmoIEKtwEKt9cphJCMBVKUMiXCFZ5cLntVFwi/+PEgUF6Do9Q1xTEYrMwOjDFK08e5uO/fQ+lgsbJAwNYZJn1mxezZN08Xvreaxx84SiFXAF/tY/7Pn83navbL3s/zY1BjhwfIRJNI8symWyRNasu3rIgGc/yk+/tYrhvilK+RLFY7ilV1IxyIpxNBUlCclmRDPBepkHnWdHpFDtfOomiSLR2VJOIZdj7+mnaF9bT1HrpFgoXc6Zngp/+x27GR6OoqsKK1W20Laqju3ucE0eGmR6J0NFeTX2tj/BojJ3PHGXe4kbqWyrPmUHKZApMhhI0NQfJxTMM9IQoljRkRcIiJJwuG0KWsTutqFbl/NbCN6E6s8lkMs3Fvn37+Pu//3uWLVt2zuNf/vKXeeqpp3j88cfx+Xx86Utf4pFHHmHnzp0A6LrOtm3bqK2t5Y033mBiYoLPfOYzWCwW/vt//+8ADAwMsG3bNr74xS/yve99j5deeokvfOEL1NXVsXXrVgB++MMf8pWvfIW/+7u/Y/369Xzzm99k69at9PT0UF1dPaexzJUZ5Fyhk4eHeemXh0knczhdNu64bykr1rfjC7jYcM+ii56n6wbbnz7Cod19lEoaFdU+tn1kLQ2X6H+USeYAge0tycmpeBZJgrs/vJrbt61AkkBRFc4c7GfvM4fwVXioaa1ivDfEi//2Ks0LG7E7Lx1krFzWTCKZ4/CxEXTdYN3qNjbdcvHdTL09E4wNR1i6soV9u/uYnIihyDJerxOtUKAoSThsKr5KN06HFaOkX/pNPXu/qTy5XHG2/YXX7yznNKXyczr/7Qr5Et/7P9s5vrcfoRvIqkz/6RDuGg9ZQyBKGpQ0hkIJirkS8d5J8rkS3/t/X2TN7Z3c8aGVs/Vy7DYLNptKJlNgxS0dOJw2BvrDKLYiFR47BUOQSxeQihqjo3HsTiuD/VNYVBlDwG1rWs8JmqKTCfpPjiGEoKWrjuqG618J22QyvbsJcf7vQ1d6/pVKp9N88pOf5B/+4R/48z//89nHE4kE//RP/8T3v/997r77bgC+853vsHDhQnbv3s0tt9zC888/z8mTJ3nxxRepqalhxYoV/Nmf/Rl/+Id/yNe//nWsVit/93d/R1tbG//zf/5PABYuXMjrr7/OX//1X88GOf/rf/0v/tN/+k987nOfA+Dv/u7veOqpp/jnf/5n/q//6/+a01jmylyuugLxSJoXnzhELlOgpsFPqaTzytNHmQrFzzu2WNSIR9IUC+UCgKePj7JnRw92p5Wa+gDh8Rgv/OIgWknj+N5+fvS3L/LDb7/IsT19s8sagSoPkiyTiGXI5QpMTcTxBlyzhfBUizKbzJqKptFLOt4KD7IsE6wNkE5kScczl70vVVXYfOcifvsLd/HbX7iLB+9bfskdTrpugACn00p1tQdZkUGScAUcOH1OfAEn9z64gtvuWEjbvOo573P0B114fU4mJ+IUCiXCEwncHjv+ObRQuJCRwSlOHRhEyxWxqArFbJFsPEN4Ok5a0dAdCkUk4sks3WdCJGMZmubX4PLY2fPKKU4fHZm9ltWmsun2BUiSxOhoFHeFm0c/uZE/+PNfBVVBL2rUNARYeXsn2VyRzsUNrFjdyvyF9Tzw8GrWbnwzaAyPRXn8b1/kme/t5NnvvcHj336Rkd7QVd2jyWR67zrb1uFavgCSyeQ5X4XCxdMNHnvsMbZt28bmzZvPefzAgQOUSqVzHl+wYAHNzc3s2rULgF27drF06VJqat6sVbZ161aSySQnTpyYPebt1966devsNYrFIgcOHDjnGFmW2bx58+wxcxnLXJkzOVcgHsuQTuWoawqiqgrVdT6GesPEo5lz8mkGTod48ecHSSWyeHxO7n5wBYlYBkM3ZvNzglUe4pE0h984w8s/3Y+hGSDBUM8EAEvXt7NoZQuTI1EO7erl9LEptJKOw2Xjucf3cc+HV2G1vRmIeCs9qFaVeDiBO+AmMhEjWOfH7Z97dV3nHHtBNbVU4gs4GR6YYmoqiaEJHB4rSFDQBT6vnd7+MIYuyCVyLFvRwlQoQdVF2kic5fE52fLQKl544hCRySQOZ3mmrOYtXdGvRGwyVZ5FUhVKkqAgDNAMipKBbhMUsiUUVUJHICwSrQvqmLekEUVViE2nSETPDRBXrGwhEHQRnkxis6t0dtZhURXmr2kjnytS2xAon5vI469wc9e9Sy44roM7TjE5EqF1YT2SJDHUE2LvSydo6riyQpAmk8kE0NTUdM6fv/a1r/H1r3/9vON+8IMfcPDgQfbt23fec6FQCKvVit/vP+fxmpoaQqHQ7DFvDXDOPn/2uUsdk0wmyeVyxGIxdF2/4DGnTp2a81jmygxyroDH68DhtBGbTlNZ4yUWSeNw2XB736yJkoxnee7H+4hNpwlWeYhMJnnuJ/tZddt8JEkim85jc1iJR9JU1/kZPDmOXtJpmmlAOdoX5tTBAZaub0dRFe55ePXMrFCGmgY/iiqz/7XTeAMubt3y5ofovGUtrH9gJQdePEoikiJQ7WPLZ++87FLV1ahtCPChX13LjhdPMDQSoXFeJRaHFSEEhXyJycFpJg4PYyggfE7CoRhDvWE+/+V76Vx86e7b8xfVU9dYbpnh9tjxXkNhPZtdparay3goXi7wpwuQAI+FvBXUtI4VsDlsSB6ZqCqRzRRJJXIUC/o539ezWloqaXnbEmPXkkb2vdFLIp6jWCxhs6k0zPQoy2UKTIzGkGWJ+uYgVpuFbDqP1W6ZLfpod1rJJK5uSc5kMr13Xa/dVSMjI3i9b+Z32mzn/39/ZGSE3/u93+OFF17Abp/7ZpD3OjPIuQIV1V423buYV587xlBfGIfTyoa7FlL7li3Q0akk0akUDS0VKKqCw2llZGCKQIWbJata2fHcUaLTaeyOcnVc7Wx7hBnl/37zh16SJBKxLP4KF8GZJOVMqsDowNTsMVNjUV7+8V6mxqL4G6pZsamLBWvm4a248l5Yc9XeVUfb/FpKisTkZJKmpiADZ0KcPjaClC4g6wJJEzCVIlvnY+j0BD/8xx38lz9/BKfr0n/B3F7HBQOMK9W2oI5VGzsovHqKUDiBZJHRK21YG92kC0VQZVx2KxanDdUik4nleP2lkxiaTmVDgII+t1yiu+5dgjAEfWdCeLwO1t/ayfwFdUSmkjz5/d2MDUaQZIl5XbU8+PFbaJxXw8m9/UTDCWRZJpcp0DJT88hkMn1wXK8gx+v1nhPkXMiBAwcIh8OsWrVq9jFd19mxYwff+ta3eO655ygWi8Tj8XNmUCYnJ6mtLc8y19bWnrcL6uyOp7ce8/ZdUJOTk3i9XhwOB4qioCjKBY956zUuN5a5MoOcK7Tmtk4aWytJxLN4vA7qmoLnJJTaHVasNgvpVB5fwEUmncdqs+D2OKiq9yPJMh6/E6vNwr6dvSxYUo9sURg+EwJJwmJVWbz23IJ4Hp+DXK6EYRhAOaH2bEXdXDrPU9/dwcjpEL5KN+GxGId3nmbhuo4b/l7IssQ9m5fw5BOHGBic5vTJcUSuhFwogZhpzyBAi2VIK1ZOHRvlh995jUc+ufGC2+qvN4/PySOf20R1awXP7jlJThHkPCqTyQxKScHtVKj0e1BkmaloCocQKAisVpVsPMMT/7GbefNrCczkBOWyRV57uZvBvjBur50Nt3fR1l6Nw2ll28OrKZV0ZFmaTVbe+cIJhvumaJpXha4b9Bwbpa7pNLduXkw6nuH43n503WDt3Yu45SJLWyaTyXQ93HPPPRw7duycxz73uc+xYMEC/vAP/5CmpiYsFgsvvfQSjz76KAA9PT0MDw+zYcMGADZs2MBf/MVfEA6HZ3dBvfDCC3i9XhYtWjR7zNNPP33O67zwwguz17BaraxevZqXXnqJD3/4wwAYhsFLL73El770JQBWr1592bHMlRnkXIXaxiC1jRfeDVPTEGDVxg727ughPp1GVhXW3DafuuYgT/5oL9FYFlmWiMVzZFJ5wtMpmjprqPbYqa70sHBlCwve0uMKYO3tXYwNTDM0U1SvuiHA6k1dAExPxAkNTdPQUY3VZsFX6WHkTIjJ4QiemxBItHfU8MlPbWQiFOc7A1PE0vny7xaSNDtDJRV0dIuGxapwZN8gkiTzmd+6e6Zp540VqPTw4EfWM++WFp7c300kmSWQdJEP5/BZbMRTOXL5Ik6LCoMJXN5yD6pULMPQiTHGhyMEKtwIIXjhqSMc2jeAy21jMhRnejLJxz576+xuMMvbOqNHJpO4PHZUi4JqUbDaVGLTaVSLwt2PrmPDfcsxDGNOValNJtP7z83cXeXxeFiy5NxfplwuFxUVFbOP/8Zv/AZf+cpXCAaDeL1efud3focNGzbM7mbasmULixYt4tOf/jR/9Vd/RSgU4o/+6I947LHHZpfIvvjFL/Ktb32LP/iDP+Dzn/88L7/8Mj/60Y946qmnZl/3K1/5Cp/97GdZs2YN69at45vf/CaZTGZ2t5XP57vsWObKDHKuo4lwgulomqal9dS3VpBO5PH4nXQsqkeWZUITcfLZIlW1XlKpHMWihq4bqDYLBYvKXY+uJXCBwKSmMcjDn9/Ei08eIhJOU91SgTQzW1DeYVUuRGe1WSgVSiiKXK7VcpNUVXupqvZy172LObW7H4yZzp2Ul99kXSBbJdLRNCXg9e3dNHfUcNeWxVf94Z6MZRgbiqAoMs3t1didl06aXtxUS1t1Bel8AafVwtMvHedo9ygWi4IsSdR7nOw7NU1J00lOxMnliqAZjPZNsnhlC5l0gd7TIYIVbnwBJ0IIBvunGB6cng1yzntf6vyMDExTLJQwdEGpqJ3Tw8wxx/pBJpPp/eralqu4pnPP99d//dfIssyjjz5KoVBg69at/O3f/u3s84qi8Mtf/pLf+q3fYsOGDbhcLj772c/yp3/6p7PHtLW18dRTT/HlL3+Zv/mbv6GxsZF//Md/nN0+DvCxj32Mqakp/viP/5hQKMSKFSt49tlnz0lGvtxY5updE+T85V/+JV/96lf5vd/7Pb75zW8C5YqH/+W//Bd+8IMfnHOTb8/Kfjc4fGKEZ7afIJ0pYFEVVi9r5oG7lswuXUA5p8dmDxMOJUgl8kgS5Asabo+deKxcKfdCQY4QgqMHh+jrm0JVZY4eHGIqnOKjn7mV6qYKFq5t5/COU0yPxxFCsHhdOw3tN/89+tCnbmXHL49w8tAwwjCQhCh/qTJ6sUQ2YaAh43TY2Le7l4VLGqh7Sz7TXE2MRHjye7sIj8WQJJnWzhoe+sytl83jcdosOGd2pH1463I6WqpIZwsEfE4CVpWRnX30n5lENwSKJGG3Wzi2f4C1dyzE7rQiyxLaTJ6OYZR7dV1qNuq2excTi6QZHZhCkiQWrmhmzW2dV3y/JpPp/UkICXENTTav5VwoVyZ+K7vdzre//W2+/e1vX/SclpaW85aj3u7OO+/k0KFDlzzmS1/60uzy1IXMZSxz8a4Icq62+uK7RTpT4MXXT6FpBm1NFaSzBfYfHaazrYautwQbK9a2MdQbZmQ4gqTKKKqMUCROHB+lpaUS50V2QmUzRY4fHsbndxKocGMYBoN9U/SdCbF6fTtbPrGR+rYq4tMpvAE3SzbMx2K9+d9aWZb5y+9/ke998zme+cFucukiVpeFTKoAJR0BFNI5JvsKGMIgFk1fVZDz+rPHCY/FaG6vRtcNek+Oc+iNXjbdt/SCx4fGYvSdGkcIaJtfQ0NLJVaLyqqlzbPHCCHYeO8ShvvC5QBNkaloqyKTKhANJ+lY3MDyVa28/ko3mVSeUsmgsTlIR9fFE4b9FW4+8vlNhMfjSLJEbUPgHfm+mEwm0wfVO/5/3GupvvhukckVyOVLBHwOJEnC47IzFUmf1/9p/aZOek9PMjmVJOiwoCFQnVbSqRwLFtVTc5E6MkKI8rLPzJZjSZKQpHLHcwCrzcKqOy9ebflmUlWVex5Zy+FdvYwNRdA1HaGXawAhSygSaLki8YkEJ/YNsGhp02Wv+Xax6RQujwMkiVJRxzAMEtH0BY8dG5rmZ//+BpFwEgB/wMWDH9/AvK5zM/QlSaJufg1qpRdVGDi8duJFHdJ5bI7y7M/t9yzCF3AyPhrD6bKyfHUrvstscbc7rDS3V1/xPZpMpvc/Y+brWs43Xdo7HuS8tfriW4Ocy1U8fDcFOT6Pg4DPweR0iroqL8l0HofdQvBtS09Wm4XbNi9kcCxCVZUHTTeIRjJIErPVdC/E5bYxf2E9B3b3kcuVyGcLVFR6aJn37vzwdHkd5EoGkkXBabdQyBQwhIRQ5PLynSwT8DsIDUco5EvYLlFd+ULqmivY/1oPEyMRYtNpCvkSFbV+8tniebk5h/f0EZ1K0dZZDmpG+qY4uOvMeUEOQCZXQvbZSafzpJM5VEmmotJNbVM5yVxRZVatm8eqdVf5xphMJtNbmF3Ib7x3NMi51uqLF1IoFM4paZ1MJq/beC/GbrPwwN1L+eVLx5iKprHbLNxz6wJaLtCPqLWtmmXLmzl+bBQAi0Vlw8YOKqsuXtNGkiQ2P7AMp8vGyMAULo+D9bfNp6rm0nUR3gmJeIaf/2gvRUkiowlS2TwGEpIMEhIyYHNZqaz2oqgKqnrlnUVuv38ZR/b00X9qArvTSm1TBdGpFHtf6+H2recuWeVzJSwWZTaAtNjVcmHAtxBC0NsT4uc/2MvUaAxhCAxVAotCJJ4jnSoQCN7YvyqZVI6RvikkCRrnVZVnqkwmk8l0Td6xIOdGVV/8xje+wZ/8yZ9ct+vN1bzmSr7wa7cSS2RxOqwEfBdexrBYFB58aDXtHTVkMgX8fhfzu2oRQlxyp5HdYeXui+Sc3EhCCM4cG2GoJ4RikVmwspX6SzQVPbJ/kKG+MDaLQilbKHffVhWkQgkhaRjIBKq9+CrcrL9zwWzvrYu9tqELlLcFQr6gi8aOGgyguj6A021jfDhKaCR63jXa5tdy6ugIU6EEkiRRzJXOm8U50z3B9/5pB0O9IUReK2/L1EBIEvFYmpefPcZDH13LkQODTIUSuD0Olq1uxeu7PoFINJzkF//6OmMDUyBJNLRW8tBnbyNY9e4LYk0m0/XzTicefxC8Y0HO9ai+eCFf/epX+cpXvjL752QyeV5fjxvF6bDOqf+T1aayYlUrpaLGGy+e4NVfHERRZFZu6GDN7Z2zuTfvBif29fPMD3ZTyBbQDcHJA4M88oU7LxropFM5MATjg9NIohwoIEtgCFRJoqa5imXr29j84Co6l168xcNAX5jtL50glczT0Bjk7i1LCARdaLpBOJxEsinoRrklgqEbFHLFCxYYXL6ujWw2z5G9AwhDcOu9i2nrrGN4cJqKSg8ut42TR0eIhJOoikxBkZCM8iSwbAhkIRg4E+LlZ4+x57XTSJKEpun0nwnxq5/aiPM6bAPf83I3I31hWmZaewz3TrL35W7u+9j6a762yWR69xLMuX/xRc83Xdo7FuRcj+qLF2Kz2S7Yt+PdQAhBPJUjX9AI+pzsf/UUrz13DLfHga4bvPTEIexOK8vWzbv8xW6SAztOYWgGrV31CCEYODXBqYODFw1yghUeRgemKWgCoSpIElAsp8fJskxLRzUur5OuZRcPPKfCSZ746X5SM/2rjh0eppAv8dBH1vDLZ45w+PAwuWyRYrFA8cQoiiTR0lHD2tu7zruWoirctnkJG+5ciKYZvP5yN9//px0UixqV1V4eeHg1um4gSWC3W8gVSuXt4UjIkoRFkrFaVY4dHMIfdOEPuNBKOkP9Uwz0hlm8/Pz7KORLxKPl1h1zqewcj6RwOG2zs1p2p434RRKpTSaTyTR371iQcz2qL76XGIbg1X1n2HVkgFJJp6bSizYUx+6wUjmzq2q4L8xQ7+QVBzmTo1EmhiOoFoX2RQ3XtchcqaDPFhaUJKlcK6Z08Z5Ohm6gqjIWVaJUBAxRbowpBIpNJTSRoGX+uTNxQgiO9U5w6PQohiFwGjKxaJq2edUIIJLMsP31UxwZmqT74BClZAEhQLLKBAIuWiu9lIQgmy1y4TrU5WDnzKkJ9rx+Gq/PQbDSzfholBeeOsyq9e0c2ttPIp7FpirktfJMjl2RaaoPsH5TJy8/d5ypdI7+qThWVUEp6hj6+XsbJkajPP3jfYRGY0gS+Ks8uAMugpUeNtzWScXbcq903cATcJFKDuNL5xECctkCNVextd5kMr23mInHN947vrvqUq5XxcN3g56BSV7Zewanw0rQZ2NoLEI2kqKm+Gb7A62kY7Nd2U6j3hOjPP39XcSnUwghaF/cwMOfuwPXdWhwCdC1splXnzxEeCyGpulY7RZaOi++XDg+HMWqKlTXeJkej1MoGiBLSFYF1eckkcySyZeIRtIc2jdAPJImh8GpWIxkLk+paKCVNBxFgyZNZ3wqSf/gNACDx4bJlUoouoasC4QmM1VKsmFVK5HpNM89cYhP/+adWG0X/rGOx7LoujE7uxKs9BCPZmhrr+Yjn9nI9mePMTYSRQiB22Wjqa2aDXd0Ma+zlieePcKZkSnsNivFYgm/z4k7UH6Pp6eSnDg8Qn/POMf2DTA5EUeRJXKpPLohWLC2DZvTRjiU4GOf3ojLXc5BSyayPPuzgwycmSSRLZE9NUF1tYcla9pYf/e7oySAyWS6ccycnBvvXRXkXE31xfeK6XgGTdOp9Jc/YKuCbiaLOkpcY6CnvFusotrLkjWtc76mEIIdvzzMyJlJCoUSekknNBKlaV41tz2w4pxqy1frls1LEAJOHRpEtaisuX0BncubL3hsJp3n1JFhwhNxbHYV1WZFE0WEIuHze6ms99PSWUckmuYH//Iak+MJbHYLAyMRpgo5EnqJYlFHKBKqBJlIhkJBwxACh8dGfioBFhlUGTlXAhl0TScUTtPcGCAaSZNK5s6bLTnL47UjyxKZdB6H00Y8mqGyxovdaSFY4WHbo2uprPbgD7rPOS8STWPz2mlqCFLMa9hsbmSHhWS2yJmeCR7/4R66j46QzxZJxzKIvIY6U1tHKelkIxnmL2pkZGia0eEoXYvqAXjl6aN0Hx2hqtZHa1cN0akMt2xZxq33LLxkQrbJZDKZ5uZdFeS8n7kcVpAkcoUSdqtKPJWnviHIhx7qZHRgClmRmb+44aKNPy9E1wzGB6eJhJM4nFZkVSY8HOX7336JE0fHWLyqhY33LLqmKrsWq8rt21aw6YHll+0zNdwXppArYrdZiE6nKeZLMwPVicdzFDQDd8BFZDpNejJJIOikvq2akmSQmEyTD1gQNhlJF+gFnb6JEL5GP1XVXvr6JhGyBPJMMrMkkAwdCYnhsQh+tw1FlYlMJUGCisrzA52uxQ0sX9PGsUNDhENJghVu7tq6hJefPsqRfYMUCxqBSjf3P7yK9rdWMpbK70Pb/Bo8bjuGIegdCDMeinHq6Cjh8TgqYLUp6LKErEjIukFRlRGqQiGTRyBmiziW3xKDkcFpfAEXHq8Dj9dBKpFH03UzwDGZPiDMxOMbzwxybpLFHXX0DE5y/MwEhiHwue3cu3EB7e21tC+sv6prqhYFm8NKIVfEG3CSSuTQSjrZTIFcJs/rzx1DtSjcunnxZa+VzxZ44+d76T00gMPr4JZtq5m/6s3coLk00hSGIJXIIcnMtMct93dCkhBFjVxKcPTAIIokIRU00A3ymSITuRzICpIBCAlhkcrJykKQnEhQUkCTpXLVZB1kTSAsCqJkIBkQSWRIJXPIssyP/30XDqeV2+5eyNqN8899v1SF+x9axdKVLRTyJapqvExOxDm4qx9/hQvXzFb0F586QlNbFdaZ4DDgc7Fgfi0HjgyRTOWZnEqSzRXZvvM046NRPLJafn9EuWCgKEoYukBWJRAGkiIxPDBNa3sVjc0VQLnnldtjZ3w0SrDSja4ZGEJgd7w7k+ZNJtP1Z+bk3HhmkHOT2Kwqj967ghVdjRRKGjUVXuouUgelVNJJp3I4nDbsl6kGvGpTJ2eOjVDIlyjkS1jsFiprfFTX+Zkci9HfPT6nIGf7D15n91MHcftchEciTA1P85H/+is0dTVc9JxCvsSeV8rbn10eOwtXtuBwWpkYKaKVtPJB0syXcbY9hYTLaUWyquQyRQrFEkZRQ690gVIOFCQdhCKDUl6WKmkakmYgGQK5JMpBjiQjo4OAiioPTnc5OKiu9ROPpnn1hRM0NldS13huAq+iyrTMq5r9c++piXLy70wOk7/CTTqZJ5vOY51ZtpJlifvvWULQ7+LMwCTh6ST19X4aawNMhRNMxjN4VYlCSkOSJFRFRlUkJLtKld/Lits6ae2sY93GDuwOCzufP8740DQKYLVZGewNA9DWUc2SVRdeCjSZTO8/Qsz8PngN55suzQxybiKrRWVh+8WTdgFGR6I8+9Rh4tEMDqeVuzYvZtGSi9eTWXPHQgZ6JhjqCYEkk07laJqpt1IsaFjtl6/bU8wX6dnfh7/SS7AuUN4qfmyY4e6xiwY5QgheeeIQ+3b0YHeWZ5MmhiOs3jifqVCCdCLL7GTq2b+IqoxqlVFliYoqH+GJOIVcCWFTKLnVmaWc8vZtyRCgSIiSATYZS9GY3YqOJCHOLlvZJNatbyc9nqK6zofFolBZ7WWwb4p4LENFlYeDO08zPhTB7bWz+rZOKmre7BHm8ztRVYVELIPLbSc6laS6zo/TfW6BSrvdwh23dtLYEGB4PEpjfRBVkVm2pJn9Bwfw2qxYVRU1nMQwBIpFobGlkt/+wwdo63pzpu5f/+Y5Xv7FIbSShiTJtC+qZ+snNuB0WunoqsPluX6FMU0mk+mDzgxy3kVyuSLPPHGIiYkYVVVeEokcz/7yMBWVnos27/QFXXz0P9/N6aMjhEajHDs4SCpdIH16Eq/fyepbOy77urIiI8syhUK53cHZ3w7kSyQuZ9MFeo6OEKh0469wYxiCoTOTrNjYwf2PruWH//QqqXgWoRsIBCgykqpgUVWcDiupWBYE1DYHUf0WsokMQqI8kyMESqaEbiuPS/ZaaPLUMnQiVN6JJgG6AVaFtkUNbHtgBU/8xx6i0ynsDiuJWBZZlnB5bLz8i4Pse/UUFqtCMa8x0hvmI795J96ZHVYdC+tYt2k+B/f0kYhnCVZ6uPdXVs4uVb2dx23H6bASi2eoDLop6joLFtTz4L3LGDk1wYFXT+H0OEBALp1nfCQ2G+QM903y2tNHUVWF6no/2XSe/u5xiqkcGy5Q48dkMr2/mctVN54Z5LyLxGNZpiMpausC2O0WnC4bgwPTTIWTFw1yALwBF2vuWADA6tsX0HtyDMMQtM6vma2ieymqRWX1luW8/P3XGTo5glbUqW2rZv7qS9TrmVmGenO69M2O6A99agMFXeP5nx4kFkmVgyirSmWdD6Nk4PfYKeaKdNTVs/Wj63nxQC/J7d1k0nkMVZ6ZsZHKwVHAhkNWePTRdbzwxBFi0RSqolAqaaQzJSpdNqITSW69cyHf/84OwqEkkgRNbVXEptN0HxoiWOXGF3Sj6wbDvWEGT4dYtr4dKBcovPuBZSxe2Uw+VyJY6cZ7kZYcANWVHu7c2MUrO3sYGJrG6bRy561dLFvSyInXz+B02ambqXEzPhxhfGb7O0AimqFY1PAFywGW3WkjPp0mGc9d9ntkMpnef8wt5DeeGeS8i9gdFmxWlUw6X66+my2iqjJ2x9xr59Q1BalrmvsOrbNu+dBqXD4no6fHsbvsLL1tAZX1F7+O02Vj0cpW9rzSTTadp1jQqK7z09ZVh2pRePgTG4jHs+x8qRu310FjawWBCg/pVI4tDyzD53fR2FbF2GgUEc3T4HIymdXIZksUbRLCqWAxJCxZQSle5MTBYTbfs5j9+weJTqcIjccIuO24rBZe+OVhlq5pxeVzsLDGh8/nIJHI8erL3eiGjiSX3z+tqJPPFclmCufciyRJ1NbPvfjeLavn0dwYJJHM4XXbqa/1I0kSbq+DfK6IYRggys1B31qvqKmtGl/QzdREHIfLSi5bxG630tp5+UDUZDKZTFfODHLeRfx+J+s3zmfHK90MDkwhSxJLVzbT1lZ9w19blmWW37GY5XdcPkkZyoHBHR9ajsfvYKR/CpfHzupb5xOs8pBK59m/v58Tx0fIprIU0nlsNhVNM1ixdh4r1ncgy+XfQA7s6aOY19h0WxeTU0l2v3EG3SKRlwRSQcNiU2iuryA2liBT4aWjzs9rvSEsmoElXySbzKJpgr6eEFarhebWcrsJRVXIZAs0t9fQc3iYiZEoo4NTKBaVN3b0EKz10bno4knVl1Nf46e+xn/OY+vu6GJiOMJQ7xQgqG0MsOa2ztnn/ZVuHvjELXz3fz1HdCqNrMo0Lain6grKBphMpvcPcwv5jWcGOe8ikiSxcVMntXV+otE0LpeNzgV153XhLhY1hgamKBY1amr9VF6k+N31pGs6Q71hctkilbVeauoDWK0qt9y9iFvufvO4eCLLd/7tNZ554iCloo6MQI1nGeuZYPGKZrY+uGI2wIHybIfVVt6CXVvto6ujlkwqz9R0EsnloHl+NXVBLwd39RLpCxMbi5OOpRG6QUQYDEoSOKz09k7i8jtBEjQ0BolE0tTW+bn/o+uxO60899MD2L0O5i9ppFDUeO6JQ9TU+efUW2quahuDfOQLdzDUOwlAW2ct/opzCwtmijqdt7QTDLiwOa2Ew0kO7u3ngYdWXeiSJpPpfczMybnxzCDnJhNCMB3LEE1msFstNNUGzvnQlySJ9vk1tHPhJYxcrsiTPz1Az6lxDF0QCLrY9tAq2uffuCUPXdN59if7ObpvAK2k4/E5uPfDq1m8quW8Y/ceGGD7iyfQ0sVyF3KrjO6ykI3nyCayTE8maGiumC14N29+LYP9YabDSYQQOF02Vq5u48j+AaanUnhUC6eOjVDIFkhH02TjWZAkUGTQAWEgsgWy4TjZQol0KkcknKJzUQNbHliG1++kpbMOXZZQFYXB3jD1LRWERqM8+/MDBINu2jpraV9QN6daQJcTrPIQvETQmc0UcPkcBGdyrCzxLJl04aLHm0wmk+nqmUHOTdTdPc4vfnmI4z1jZHJFPJVONm5oZ8umxfjdDs4MTpFK5wn4nCxf0ID6lsq3hiHYu6eXZ54+Qv+ZMM0tQdrnVTMxFufl54/TOq/qurRxuJDek+Mc2TtAcKYeTWg0xvZnjtK+oA6789wt6mPDEQq5coBzNjFZqBLoBkfe6KWQ11i8spn7Hl0DAmyKTKXPyUQoTkWtn/aOGgZ6JlCEAM1goCeERZWwA5nMzO4vKAc6sgSGhCQEIp7FEnBjsao4HFbu+9ByWtqqEEJwYFcvmWQel9uGYcicPDgEsoTQBXaHhSP7B9j2kXUsvERn9OulZV4V/X1hYtEMwhBoJX12ic1kMn2wmHVybjwzyLlJhkcifP/x3Rw8NUo6nkMu6CQmkvzgTJhdR4Zweu3YhILToiLLEmOhOB+6e+nsLM+xo8O88PxxQhMJYtEUkekUvd3jNLdUoagyxYKGw3n5mjhQXu46dWSETCpPsMrD/MX1yPLFA6RMuoCuG7M1XHwBF6lElkwmf16QUxFwIclyObAxQMgScq7ctbyts4ZAhZsj+wZobKtifGCKw3v6MXQDC9BU4yOVKWDoBvMXNdCxsJ6j+wcRhSKxWAbdeEv387f97ZYMHSNXxF7tQ5Il9u08w8tPHSl3H+8ex+KyEUnmUGSJUrZIIOima0kDsiwzOjjNwV29NyXIWb9xPpl0gZ6TY0iSxK13LGDVFXadN5lM7w/mctWNZwY5N8m+w4McHw0TLxYQdgnZqqCmdaS8zsSpMNYWL7VBD0vaa0llChzpHmPtshbqqsvLGoMD06SSeaYm4uTTRQRQyBaITyRoX9xAMpGdU5BTKmo89YM9nDg0hBACVVW4dfMiNm1detHlmkClG5tNJTKZxO1zMBWKU9cYnK0S/FZ33rGQHS8e5/CxEQxJoORKqKkCXp+dmqYKnG4bIiQYHZji1KFhKqo8uL0OcpkCp4+PYnfbUVWFdCrPsX39DPWHkQ2QC0XQBRiiPINzlii3jhCSjDAEuqYTnUywf8dp6pqDJJM5zvSEUG0qPr+TfL6EoQu8AedsYKeqMqViOYAyDIOB05MkYhk8PifzumpRFBkhBMMDU0SmUjhdNjoW1J0z0zZXNruF+x5cwR33LEKSJRwOK0IIjh0c5MThYQAWr2xhyYrm67J8ZjKZTB9kZpBzk5wcmkQzDKRSeQbCUCV0m4Ka1dCzGrIkUdA0NMPAblOJJ7OUtDdnLqw2leh0ikQqX54lOdv+wIDoSIzD+wfY+uDKy45jsHeS7sPD1NQHsDutxKZTHNjZy9I18whUui94Tuv8Gjbdt5Q9r3QTmUxSXR9gyyOrsdrO39ru9Tv56v/3Yb73ty+xb0cPSDIWl52KxgBWh6XcY0qSsDusaCUd20zbCqvdgq7pNLVVcuTgECePjjAxEp2ZsDHKzS0FYJUR+tleWgYYgK4jKeVmmOlEDj2WQbNbqav34fbY0TUdgSADWKwKTo8dl9vBxEiUQqHE5HgcxaKw740zpONZ9rx2Gq1YbpS5ZmMH9zy4nAO7+9j+3DHyuRKyLLFkZQvbHl1zVYFOIp3n5MAE+ZJGtc9N99ERXnjmGEI3sKoqp3smkIAlK8/PeTKZTO8f5nLVjWcGOTeJw2XD53WQiGbQJANDkTCcAjVTfj6XL2CzyCRTOeLJPM11ASoDbwYdy5c382//8hrG7CyGhFAEclEincgyPBrl9GCY2kovXrcdIQS6bpz3IVzMaxiGwDZTe8fhshGbSlHIFy86dkmS2HDXQhYuayKXLeIPunC4Lt5IsqLay+9+/WEyyRyJaIZ0Js+rzx5nfDhKKp6lssqDJATBSg9jQxF8QReJWIaqWj93b1vO9HS6vExlCDDKrRyEoiCkEnLJAJcNkS0gyRIoCpJmILttuL0OZLsVWdfRCxpD3RNIHjuabuB02pAUBUVVaO2o5s57FnNs/yBDfWEUq0I2V+KJH+4hnynS1FpJoNlNKpHl0J4+mjuqeGP7KWRZprW9mmy2wPFDwyxc2njF29BfP9zPn/3b80STGQwhIQFqCWxpHY/FiltRyeQKHD4wYAY5JtP73rUtV2EuV12WGeTcJIvaaxmejBEuZYglcwgZCgEJzSPj1ixohoHFa6Wo63S1VbP19kU4HW8uP1XXeAnWepiYTM4szwhQQMhg6IJD/eMM/CyD22WjutLD0EgUWcC8xkq23L5wdtmrus6HN+BkbCiC1+8kGk7S2FZFoPLy29DdXgfZdJ5IOEl1vf+CMzlv5fI6Zovh1TUG+dl3X+N0LEMxneeN545RVR/AV+Mhk8rT3F7NPQ+uZHhgiqEzkxhnZ7HO/qYiUe5ZZehIkoSwWaCkgyyDzYK/sYKMDkauiMWmkpegFElhpPM4XTYcTiuqVSGTKlBbF+D2e5dgs1uIRFK0za9FliUGeicZGZima3ED6WwBTYJMtkAilqVYKOHzl7ebOxxWDMMgl714YHghQ+NRvv6tp8jG86iAbpPQbFCwSOgWAdkChk2Q0QTRePaKrm0ymd57zDo5N54Z5Nwkd66bz7FQiEOREKpsJa9o4FMoVkrY0g6sJQVHhZ2ahRV8atOa83ZKCQEt7dUM9YbJJAuU16tkJCGwVTrx1/vIFUoc6RmjqOtYLQpuh41YIksmV+Czj96Cy2mjqs7P/b+6lleeOkI2nad1fi33PrxqdtnoYrKZAk//cA993eMgoLm9mm2/tn62B9TlZNMFwqMxGlurcPscxGJpDuzpo2J+Nd5qL4G2SmxOC9ufPYbLY8PhtlEsaAhZenNO1yj/W2gaFrsNq1suN3/QDQwkSrqOzaYS8NmZDJfAomD12GidqemTz5dwu+2sXt+OJEFfOEZPMc3I6BgBixWfKmOzqRw8PERO6OQzRZwuGwm9hCfgYnI8TnWtj2Qii9Nlo7K63EU+mcqRyRTx+RznBKZv98Mn91GIFUCUf3dTc+Umo5odJKW8g66k6egGuIMXby1hMplMprkxg5ybxGm3UtPuxxhXqff5iSazRNM5SoaBRVaorfbSWBtkOBonVSjid57bjdpiUVi+pJnpSJpTx0bJZAvISMxrqSBbYWdwNEIkniGTLQASVXV+DFlCkwWhcILJ6STzmqsAmL+4gbbOWvK5Ig6XbU5bzw+81sPJQ0PUNQaRZIkzJ8fY+eIJ7v/Iujndv67p5eUzq4JAMDQUIZMp0BFw4fI6OHBwEJsik80UqGsMIpDYu+MUhVwJEFDSkDSNcg9PGU0IXEEnNc1BcpMpYqkcVo8Nm0Umk8qDLFHRUoGQJHoGp7DYFHK5IthkfvjGMUJ6ngPjk0zpRVJjaYRhYEnpVDvtWPQiTkPCYleZsun887P7WdhajbPKSSqZw+6wcvvmxTQ0V3Dg0CDbXztFPl/C73PxwNaltLVWXfA9mAwlkZSZXjUSyCWBrAGShKSBkEAXOqpq4dDgBP/8+E5uXd1B1zyz7YPJ9H5U/v3tWnpXXcfBvE+ZQc5NVO10Y7daSBtFnG4bCa2AyAlqq710zaslUSqiyDKWiwQdd9zWSXd/iIlYCo8hCATdNDT62X1kEEWRyRdK6ABCEJpOEfC7KBQ1FI9yTm7OmZ4JTp4YQwhBZ1c9CxfXX3Ynz9REAqvNMpuL43LbCY/H53zvlbU+Gtuq6DkyDIrEaO8kTr+DQLUXm9PK9HSKdKZAYjrD2MA0lbU+lq+dx4HXT2NkCuUgB8r1cTQNW9BJsN5POJohlyngDbgoWBQUq0Ixp+F222lorqAoGYxOJ0gVi+StOiWHRKh3gJ19w1jCRUhpWGQoeCQKLoXxUgmby2BNVxOhWBqbIZAkSBeKOGo9fOyu5VQG3DhdNkbHY7zw8gkAggE3k+EETz93jM995rYLzug0VPvp7g8Rz+URhihPVcuAJlCK5e2gOUWiYJQ4cGaM7v4JDpwc5r98bvNsgGoymd4/zOWqG+/GVI8zXdDyujqW1tRgMVQkAfUeL0vqarEF7IwkkmQLRW7taMFlu/CSRySeJVkosmx5M3fesZDW1kqmYxmcdivRRJaiZpSXdHRBTtOIJjPIBizprJvts3SmZ4Jf/GQ/h/cPcPTgEE/+bD8njo1eduyBKg/FfIlSUUMr6WTS+UtW9n07q83C2rsXki5qHN43SDyeZXw0zo6fHiAaTWMYgr4T42hFjUwyz5ljo8SnU3TMr8ZuU5GsKqgyqAoyEKj1kUnmyGcKCKvC6ts7qavzoesGuWIJn99BfUOAcDRN0TAoWEC3W5CEBAVBTpTIOSSEKmEtCpwxgVwoFyDMlHSODk+SyOSRJQmn3UpDlZ9kJo9sVXDOBHrRaJpstkhNtQ+73UJNtY9YPEMiceF8mi13LmJpez0VDieyIWGooFkF9qhennVzge4GzS6hKZBDcObUBG8c6p/z+2wymUymN5kzOTdRg9/Lb25cxzMnT5PKF2gO+LlzfhuD0zFyxRJ1fg8rmuoBmBiP03smhBAwr72KxqYKcvkihaJGdUU5uPC4bIQjMgGvk8HR6Mzc5UyufkHgqrDxuUduYfXSFtSZ2aF9u3s5suM0pWwB1aIQbApy7MgwSy5TCG/NbZ1MDEcYOF0eU3N7Nbdunlszz7OOHx8jFMlQVBUki4IhBNNTKfY/c4w7H1nD5KkJFq5owjAEiViWTDJHTbWX8f4piqLcEsMQ5WWdyakUNgkKVhnFamGwb4pCvoQsSdTX+amp9TEyEiU0kUCXBLoiIRkz700eJAGGCkWvCpKGkjewp3U0WcKwS6TyBTIliUJeozboJpHJ4bBZcNnfDECdThsWi0IqncfjtpNI5nDYLTidF955tnhBPZ/46Hr+Zfs+jo1MMq3lKMoGutNAzUCuEaxxsBQFUk4Cq4yR0JiMJq/ofTaZTO8NQkjXuFxl7q66HDPIuckW1VWzsLaKkmFgVWb6N1Wd24V6dCTKTx/fy/R0CiTw73Xy0CNrqKj2EPA5GQ3FqQy6iMQyVAU9DA9NIae12blPIYFQDfKlEt3Hx/A57CxaWI9hCLb/7CDRsZn6M0IQDacIVrrh07dectwev5NHPreJ8aEIhiGoaw7ictsvevyp7nH27O0jnysyv7OWjRvnMz4cIZPIIgmBqiiUDAMhSRh5jTs3LeDxnkkkWcJuK9fMGemdpJAvkpckCnblzTYOkoSW1yilc6hCIGq89J6awFvpRghwWVRWLmtmNJqC4Qk0RSn3uKIc3EiGQM2BbpEQikTRLWMzRHnZyAIFGdDLAZGe1zjdM0n7fMEnt60h4H0zIbitpZLVK1s5cGiQ6ekUTqeVOzZ14btAkUQob8XPO6FQq9LlqSN2chBJE2huGTVXLitQckuo0yAHSoi4hKzKdLaZOTkm0/uRuVx145lBzjtAkqTZAOdCDh8cJBJJM6+9GoChwWn27+3nY5/YwIN3L+WZV08QjWdxOazctrKNX/z8AMJanqmRDIFSMBB5yOXyvLKzm727+nj04dUs6qwjGkpgiHJjKSEE6DpH3uhlYjxKXX3womMCsDuszFtQd8HnioUSmVQBl8fG+HicJ588RD5fwmZT2f5KN4d29jLWPY6WymMYBkWrBUmRQQj0ko5VlWlsraL/9DhWm4XhvjBGSUdXIKeAYVHJV9uRdbBGNaSSgaFKiFQRLZTE1uAn6HViGAaRUIJnXjqG1OAkbTGwSAqlbDm35ux7JBszib5WkGSZkkMg5w2QZipP6KAoMg6rBaUkUelwcsvSViKRNDt3nyESTVNb42fj+g4659eSzRYIBlw0Nlz6PdSFgW4YDIciFDAwZhaMZQ3co5CrKFd0llSBxYA169q4f9OSS17TZDKZTBdmBjnvQvlCCYtFmU0GttlUCvkSAPNbqhjrqOf1fb0UMyV+9MR+DEV6cxZHkTCsMnLeQE+XMGRBLJvm6ScP4XxYRZIlNJeCrirIBQ0lZ5DNFvjdz/8zK5Y08sCja1hxS/sVtRQYOB3ihV8cJJXI4fbaCTQESKXzzGurQpIkYtMpjpwcZ0VnHbFYhomhCKKoISwKVlmmqs5POJRg6S3zONEzzthYjExBY0FnDceGw+h2GSVvoOYMSl4LJY/AGhfIhoTuUlGyOno8i5YtUihpxJM5RKFIpVXGYbOQ1PJIilRuCyHNvE8w20BUEqA5ZCSrhEAgSTJSEaw2GZ/HQT5eQCtqZLNFfvrkAYaGIzgdVvr6p4jG0nz0kXVYLHOrfNwWDCDpMJZPoynlJTOlAIYioeYElpSErBp4ZQeL17X8/9l78zDJrvLM83fO3WKPyH2trMrad1WpNpV2tAISZhEGTGPUtNtj07Rn2rRtYNrYtMft7mkvwDM20G173EzbtEEYMEhISEhoX0tS7fuSlfsSGZGx3/Wc+SNSBUJCKkoSkiB+elJPZcS9N05E3Lzxxjnf97585t/80rmlxhYtWvx80cqueu1pXT3fgAwv70ZrzexMibm5Mp4Xsnxlc8ni6MlpHnz8BLZpkEnHmJ79kXoNudiSaDRnacyGJmYbxBM2QaCYmy8TLklQ74jh5WzqvQm8rEUQN1ko1njoviP835/4Go/ff4QwjJozPS9DeaHOnV9/ivxMiWQmRiFfYf+jJ/Eb/rn2xnrNAyHo7M1yxTXrybUnSdgmSwZz7LpyDb2D7TQaPg8/eIxsZ4rN24ex4hbjM2XqbjPRXEDTGkiDthcFhSkJkwZEEVGxztzkAipSGHGTTGeSqB6QsC0QgmTSRhrNC4K2m0W/ylw8bgBogbIMVPw53a9RocKtB1imwdLBdsYni4yNF1i6pIO+3hz9fTnOjMwxO3f+NTN96TSrsx0khNmclWqAVW2OSUZg+po4kkTZod1JYFut7yEtWvy88pwF2Cv5afHStK6gb0C2bF2K2/B59ukRlNJcfNUwu3avBGBuvkIQhizpbwOgvzfL6GQRBc3pCambJ78EKxJUyi6dbWmSlsmx0VkW6iGmJxb1vybIOshIIcoRwhAUizX+5Pf/ifZlHeRSMS7ZtZJ3vHcHqZ9QZ1KYq1AsVBkY6sAwm4Lq5JFJ0gmH02dmMQ2JkIK2uEUURJiWSW9/jkY9YGhlL4EX4sQtRo5Nc+bIJBsuXoodsxhe3s2Jo1OIeoj0FJEtieIGIEApRKRRhkThQ6QQSuF6PlbNRIURlXyVXFea7o4cc5Uajm2CFFR9DxUJlFaAQAgwgMAEhCayBFIJpISEYZG1bNIJh6XdOQIvRCDOrYPrxWW/nzZIszeZYktnL8fmpihXPSJj0TMnUKTnNbn+tmYjWdC6grVo0aLFK6Elct6AGIbksivWcMmlq0CDYf5wws33QibOFpibKJFOxzAck3QmRqnqNjfQoAyI2ZKENEk6DnEpma/VOXa8TCMuMYRuJqCLZiePVpoobjYFhQa37jM6tcBYGHH8yCSH9o7wf/7J+5CGZKFQIxa3ybU3nY5jcQvHsahWXLJtSapll3QmwY3v2MpcsYbnhYR1jyOPneTwM2dIZROs3jjI4IpualWP6dECC/kyx/eNMjeS56AfctHlq2jvyTDkh9SCLAdPT+MmTLQlEZHGrATNpSbbwJoPzsmO0AtZKNQQAnQFFvyQWE+c/q4sVdcnFTepFwJCoymaRKiREUQCVBxwFKEwMAJNyjFIJ2M0Cg3q42X+4cyDrNs4SHdXitGxeRzbwvMDNq0foPunaKUHuGhpH/vOTCIdgzBsuh6bESRtRY9dYfW2KSTddNmrX5XzqUWLFm9UBK8sf6q1XPVytETOG5gfdyJuNHxOHptGBYqFmkd+vko2l2DX9mHGC2VmxorUqy7Ykv6+DEPZDF3pOGMLZeLdGezZMihNlDAQGgy3OSMiQo1KSJQLUimUZRFZAmwL1fDZ8+xZ/unvH8F3I+Zny9iOya6r1nDJVWvpGWjj4t0reeLBYxTzVUzTYPtlq9h08VKklDx1/xF+cO9h/LqPRJBtS7JqwyBH9o1SLtYYOz3H8OpeBpZ1Ii2DMydmOLx3jFx3hutvuogtO4f5v/78dvYfm8BvhMhGs91bSRCVOmYkUTED+VxNUhCRjFsYMYuENBjwTXbvXsq3njiCEM0lqtBsFh0rR2BXFDoGoUPTh0crwg5NB1nqBZe4F9LdnqJR9zm0f4yrr9vAFZeuplis0d2V4ZKdy3/qJPJ1A93sXraExw6MYJqSuDCIUiF1UxDWFI7t0T50lOVtq2j4ATXfJxOLYV9A4nmLFi3euLRSyF97WiLnDUwYKVw/IOHYSCmYnikxM1th1/bllKsuvh9Sq7pcuW0ljx0fpa09RbXq4lU8YuUQXY8ohnXKNY+h5X0IDeMzCyjZLE4WSiC9qPldQmuE0kRxiyhpIlRzRijI2IiZBn//hXvZccUalq7ooVZxefB7B+npb2P56l6ufvtmlgx3UVqok8nFWbG2Hyklbt3jiXsPY1oGy9f143sBpw5P8sBMifaeLOlcgkbNY/LsPL2D7axc24ffCNh56UpWbhjARDA3WuATH72BBx88xr3fP8j4eBHX0Yh6M5FcxW2EYaBMo2kUGETgRSjAdUPGj85gxWyWtGU4Wiui0gI80XQcNjSRI1C+RpkCYWjwIepSuPMROlDEbRsnZmGaBoVClTNnZtl56Uo2bRikvy93Qe+rEIJMMo5jGcRDh9ANCYWiLg3s9jgdnZKYrXho75185pMnkEKQ7U3xnz59CxuHf7rU8xYtWrxxaRUev/a0RM4bhDCMMAx5rr7j6NlZ7nriCNWGR3cuzTsu24BhSKTRrKfp7crgugFzi0njK1f0cOjEJE88eoLTI3mKdR+zB1au7uXMZIGJ03l6htoxLBOlI0TYFDXakAhbYjUihBKECasZ/Kk02hZgNL1kdBCx74GjrN4wiBOzGDk5Q2GuwvLVvUgpWbXhhR++nhsS+OE5h2DLNvG9EOVBd1+OKFR0dGfIz5SYnSwShoqly7u46OJlPHjXfiZH5hEC+pd20ruul56lneR6Mpw9PYfr+oh6gnrJRQuBMJuZWJFoznjZWOTakyxb0xRlk2MFCh2KSGuUBG2AlgIlm63aZl0QpjVSSKSlkbYgY9t4Cy6B7+C6AbWax+R0ia9/4ymSSYcbr9/ERRcNnfd7rLVu5neZBn3dGXKZBA3loiKNCiGVDHnb2w0On5rEWShQmU8TZBVmSZKfrPLvPvkVvvbX/4b2zPmForZo0aLFLzotkfM6UyzUuPd7B5gcL5JKx7jq2vWkOxN888H9VGoe2XSME+NzfOOB/Xz4rTtYs6qXAwfHMU2DMIzYsH6Agf42LMvg+N5xVMEnGbPRtkm14jI1UaSvM0NoG0wWyqRyMbyii3YjlNYIKTACkL5Gy8UOa6WQVRfTlYS5eLPYVgp8N+DgM2eouiH1qsfBwxNs2r4Mx3nxBPNUNk7vkg5OHBxHKUWt4pJMx1AaquUG8WQMM2ZhxiwWKi4rV/dy7Tu3cuiZs4yfnmPpyqZP0OjJOcZmF7DbEvR0d1ItNZjNV/AVSC9CRxrDACEkyrCImwamKcnXfcafPI0KIpQtSHblKKmwKXJkc+lKmiC1QDQUQgtklyTjmHTIOGZKUVyoU5mYx9JgxSzWrO+nuyfDzEyJH9x/hBUru0klf7Ip4nOMjxW47+6DLBRqdHVnuPK6dVx78WoePnwGFVaABXavPMO69n3EVYwD4+1MHuomPqpp9GusvKJuCf7pwX38+s2XvopnYIsWLV4vFj1ZX9H+LV6alsh5HQnDiO9++1mOH52krS3J5HiB27/5NFuuWkmhXGfFQAdCCBzLZLpQplx3ecdNWxgYaKMwX6WtPcW2rUvPebSUFurEHJO2tiRTk0WkECwUavQvaeeaGzbhmpqv//Me8g1BfHmG0bPz6EChFSihkXKxhNeQELMxay7SryNMC+1Y4IUcOzRBpjNDe2+Gk2PzPPjQMa6/7sXN6gxDcuP7dyIkTI8VSOcS3PDLO5kcK7D3sZMcePoslUqDzqEO7FyC3GAbA8NdPHLPIeIJG8M0qNc8ZmdKlE67yLYEWy9Zwao1fczmK5iGxMnG0ZEi8ELicQsn6bByTS8PP3ycMIiaA5ECPIU54qIHjWZhsgBtaJQhCC2NXQaEpr3PJn7WxBGSJUvbqdc9SuUGybhDECgUUKv5xGI2jYZPveafEzmnT8zw2ANHqVU9lq3o5opr1xNP2JRLdb7zjT3MzZbJZOIcOzpJo+Hz3g/sYEVPkvz8t+lK1Bhua+fM6QQ98ZCHjnYzOdKFNDXxmQg/3qyj2nd0Am5+zU/NFi1atPi5oCVyXkcWinUmxubp7c2RTDm0tScZOZ2nXKhhSInrh8Qdi4bX9GpxbJN43Oay3ate9Hg9vVkO7B2luydNve4xN1Mm05bgsivXcMklK5FSUJ6r8dVvPkUYaeKOReh5aCkwHYtIaUwDQhbjD6SJ4UUoU4PRdNGLpeOs3zVMZ2+W4kKd4yemue7aDS9oo56eLTExuYBpSm7+8OUIpbEcC9sxWXtxQNULGMtXGB7uZPmaXtxGwNFDE7SvbWNfW4Xj+QJL6yHhsyWmxgvIhIU3Xeb+Ow8wuLqXZMJm7cYepqdKlEp1/EaAlbKx2mM8U8hTzUjsokKEGkzZLDqeD5A5gbAE2gadBC2bq+LagrhlcnG1j2P5GYpGjanJIuhm4np7W5KxsSKP7zlNWyaO70UMD3eSTjcFztR4ke/c9iTViks8YfPYg8fwvICbb9nO9FSJ2ZkyS5d1IKUklYoxNVmkXvK4dn0HulIE2cHBwwVGT3azbKBIuOA0C6lNgfAW/YEkWC3fnBYtWrQ4b1pXzNcRyzIwTQPfD0niNA340GgpaM8lOD1VIGYZmIbBVVtW0PEjuUkvxvZLVpCfq3D86CQ9vVk2XrSEt9y4kdOT8/zZX99DImZz7aVr+KVrNvLUU2eIZAOzsxk4Wau51MpNwSMViFCBEGjTACHAV4hkjIrUHD8zy9RsmVQ6Rnt76gUC5/ipGb793b2UynVAsHxZJ+9953ZsxyQMI+66fS/P7B2lWHHxtcZJOfT15Sg3XL555BCNHMjeGM8U57HMGllLkulMY8UtZqdKVEIXd9hkPNFg1dpuJk8XmJwsQsqkf3UXlWNTaEvi5UxipWjR1nixo8rSyFBg+ZogJ9AWiAD8FGRsk7ARkUo4zM9X8NyQKFIgGjRcH9f1UBGkEzaxhEWkNWMTBVav7GXsbJ5Ssc6yld0IIbBsk1PHpqnXfCzLwDAkvhcSi9t4fohpGpiWBJEBmUOH01QbAbm2Bn5kUKosLoFp0FKCEsQ64ly8avA1OBNbtGjxetAqPH7taYmc15FMNs6Wbct49MFjLBRrREpRNzUPnjqLkgJpCTav6mfLigHWL+t9WdO5WMziHe/Zxtj4Mu7dc5zJUoU/+LvvMTJZIFIKGQnuefQon/43b2PFih7uun0v5XKDnp4Mjz92CmlKpCkxvJBACIQtm8LAC5vW2G0JwpjBbLlGueySrcW55ZYdzxuD1poHHj5Gre4xvLSTMFScOjPH/kPjXLZrJadPznJg3zgDA200ah5zsxVOnZihUfMhY1CNR2zo7EO3d/LQnuOM9zZIjERUCzUS2QTKEhT8BrGeHIdKRWYbddbG02zYtpRCTDHY30apWGdipkRoayILDF+ghcDNiGYmlaeQQmA0NMoWaKlRSQNfw4HGPF48xEspbFctPimouj6mlCRsg8GhToaXdTE2USA/X8WSs4yNF3D9EK01QgiiUCGlwDAlg0MdrF3fz6ED40Dz/ot3DNPdk0VISWS/k5GJ/45hTWIkNPcdHObkfBuGEBAptA1OymLXhmW87dJ1r8m52KJFi589rRby156WyHkdEUJw1bXr6exKk89XmCiUeXZuliU9bcRsk9GZInPlGmuX9iDl+Sl2w5A8OzLF0ck8lmVwZrrQTDyXzS6pOdfl777+GF/4419heFkX3//eAaanS/R2ZYjHLCrlBoV8hShQOFJgKKgjMLJxdMKisz1NI4oY6EiTtG16e3LPe/woUlRrLsmk05zRWMzgcheztxoNnyiKSGfirF7bj9aTlEp1+gfbyO3q5AeVUdyGz5ED40xPLyCkRCPwvRB3pkTQZtHTk2HThmFGpwtMVytsG1pFb0cb33r4ALWGj522IWUQeZp6h4VdDlDCIExJjFASmgpbK4Qh0EjoNEnELHRJUwo9AlMTpsCXkni+KXQiQ6GEQEeaY6MznJrKE3kRx49P0ZivoyONNAQTxQpD3Tkc0+DK6zYQizWLsm9+9zaWDndRKTfItSfZdNHQOR+kE9NdfP3Ry+nNNHjiyWkOjQpICmQQYloGqzb2knJivPOqTXTmUq/S2deiRYsWP/+0RM7rjGFINm9dCsAP9p5k/8I88cVupWwqTrXh4/oBqbhzXsdTSnNyLE8uHafhBc0OKg0CgQQ8qTkxOsd3HzrEW3as5lc+fBm+H/LNrz7B0YMTSDSVfIW2XIKo5lKruBgJi1RXiqoX0ih7xDsTpNMJ2tIx4nH7eY9vmgYD/W3sPzCObTWX4gxD0tXZdAXu6s6QTMWYnlogk03Q3pli6epuVl25jIoOSGubh4+eolyuE0roLBkYttE0/4s0Vk+CgS3dSFPS05MlSghsx6IyXSYbSJ49cJaTswVcIqKkwPAFnmVjFV1MFxq2wowEbqci2V+nks+QzsQQDU3D95ExiaTpAh3EQSYFdkWjDAgtjVqIaIQ1hCORCFQQYQuBESm0rwjzVXL9GW658SIuu3LNuddFCFiyrBMnZpLLJp43K1dreFQbcbxMH4EhSMaKuH6IETNJOja6oUjnbJYMdLySU61FixZvMFrLVa89LZHzBqIzm8QwDebLNRKOzWypipU2+JvjT5IwLS7vG2Z9e8/z9gmCiMefOcPJkVlitsmOLctIxGwW8g0c28SUEo+ISGmUas5tOpbJA3tOUqq53HD5WtqSCW68aQtRpHnoeweIxW1ijsnEfJVIaUSgqMzXUIakEoQEQhFlk1xy3Uba2p5fJxSGETu3LGtGNsyVMQ3JVZetZsPafgDa21MMDrax/9mz1Gsema4UhYzmjmePAc1GKDHqY3iK+HRENB4SaYEpJdnuNP3XDTKXnqRSn6HecLBmLL769w8yNVZERc1OsZgAR4Kf1NSWxCASaMdCRyFOKcJvNwiXRCgH0raBVREEjZBIKXylwQG1mFbutQtEBDLSixekZs4UNvgSsCRCa7QWmL7EFGA4JjphnpupmZ4u8Z079zI7W8a2TXZuX84Vl60+NzvXkU0Sc0xGpwq4XkBbV5qUbRGvw+hoHtcNcKse99y5n1s+sAsNnDo9SxhGLBlsp7sr85qdky1atHgNWXRqf0X7t3hJWiLnDcSGpb1cvXk5TxwdJV+uoeOafFsNvxLhq5DT5QK/vn4XK7I//Eb/4BMn+MEjx3BsEz8IGZsssn3bMgrlGgs1l662FFOFMoHSIDVxw2D7piFm3Dq3PbqfZ+uzrO3v5r1bNvCBX72MRrHKnsOjTM6ViCzR/KCWgshXREYI/QlEv8RICNat7X/ejMT01AJ33b6XubkKlmVw2Y7lbN22jFSquXS1UKjxuT/5DqeOT6OVJteZxh5MUo0CVvV3oYHbHzjI7EwD0wOhDKKkIihHDGTjBL02Y+VJolgZGfdoz8U5e7smf7a5FKYX0zabRdMSp6zgdJ0oGwMlsF1wM6CkwAgVrpJIIiLpISJFYC5eM1zQjkCEEJkQJTSiIZG+WnwcIFDgGM1/a00kNRga0zIx7WaBNTSX7+68ez9jYwX6+rLU6z4PPnyM3p4Ma1b3AbCsr50bdq7hjocO4amIbDzG+sFuju0bJ5WMcfGWpSTjNmdOzfDMnjMcH5nj7GgegFwuwbvecTHLl3W91qdnixYtWrzpaImcNxBSCm7cvobtq5fgBgH//cQTWNqkP5lBa82RhVmOFGfOiZwoUuw/PE4q4dDdmUZrzamzcwgFv/q2HYzOFBlfKPHdo8cZzy9Q83x01uaZYJZqvkHWidFo+Hxn7xFOTea59ZJtFJfYnB4PKGkw0jadcyaOMinVXHSXSfzqFL6p2V+Y58DJMa7uWg80Z5Tu/M5ezo7k6enJUK26PP7IcZb9SJv1N//xcY4dHKetM4WQgpnxecbG5kh1xjGXVyl3WkzVa5CWaFtjeIBp4SnBRM0lDCBW0GSsLJGyMdpn8HvmCEU7IlIYCrQhm0IlCsEycRY83KQGLVBSoDXIioKTJsYyj3oEgVCIDBgNgdCAAsMFtehxqIVAC43wm78rc3E7sdhqH+nFBHhBz7J2UimHgd4cAPW6T36+SmdninjMJh6zKZfnKBRq5953IQSXXbSc1Uu7+c5dezl5YpbCXJVqw6e7I0Um5SClBCE4dnyakckCS4c6MAzJ6HiBBx861hI5LVq8CWlN5Lz2tETOGwwhBJ3ZJEprzBGJ9vUL7v9x9I+V2AuaswPL+tr52v4DZHoT3LCyhx8cOMlsvUY1dDFdxTwuZx8tgSWYniszM11B2oINqwY4um+UshlSjUniUxqUwFmXoNNI0AgCxqwSR2pzXL34mJVyg/xchZ7eLMmkQzIVY+TMLPnZCkNLOwGYGJ3HsAwSSYda1cP3QjAEodKMHJxkPqGhy2omqTuABqlApSSqEBGGGmFDb5vNZMFnrlhHdUv8nhiyoVB1H6scLHrLhISOxDAlItBEdlPoaBN0HAzPwJgwEW2LHQ6i6UMjFhuqpGreJn2NUBA5YJdV88U1QNsSQwhSCYeuNodiuU53d4Z1Fy3hsu0rWLO8uawYi1kkEjbFQo10KobrBQghzkVd/ChduRQfuuUS9h0Yp7hQoz0ZozRboVJxadR9YjELO24hpTgXCppM2JQrjXNdXS1atHgToRe9LV7J/i1ekpbIeYMiheDSnmV8a+Qgp8vz+CqiK55kw4/U5BiGZNvmpXz/oSOMThQIgoiOthSrl/9wG7X44adMkO0GCcPGrYc0Uj5+DmKBxKxJGrMuR90ZkmmH9Sv66FrXhRwvUa/7lIVHtdfBCxWNqQKNyKOW1Xx77ijZfWk+eNHFxOJNo79KpQGSxW4qQSz+w8iH7p4sRw+OU624NOoeUaTo7srSPpTlxOkZZCWANhMQIAXa1M1vKosxDNKQuCqiWC0zNVmlO1PDPKJwRhfwMgbYMYQdYlY8lB+BI/Btk8gEbQm0hCglCJNgNEBXLIx2QfTcdWaxDgfdzLYSkUBGoIVGm+BnJLGiQpgCwzaQQqBDhZm2uPltW7jlpovpaEs9rxPOsgyuvXo9t9+5j5GzeaSUbNwwwLo1fS/6vtuWyY6LlwGwc+syvvfdfUyMFUgkHC67ag3aEJwamaNQrGFZBqVSgx3blrUETosWb0JaMzmvPS2R8wbmLQMriJsWR4ozxAyL3b1LWZZuf942l+1YgTQEx07PkE3F2LllmP7FpRKADT09PDU2wcnJPKW6h2sq3HiIbwmE1OjmhADSg1rJpyYC/JkpLNtA91qUJ13mVgvChET64Ocj1JKmQ/D4QoW/eOwBavmAX792Fzt2r+Tv/+ERCgdrCAHDq3roH2w7N5YrbtrIQ9PjHF8ogwxJ1U2SXXHmynUIFXbcakYuAEgN6rksLQjjEEURIm9y2i1jGwFyHOp7U1g1jdARgekRxiV4BiKIQIMxGOGaGulpRMUnjJvIwCASQMo4J6JQNGeQjGbxc9wx0dUI7UikjgiURjgSw4JACYSvWLmsm55cmkbd56pLVtPVkX7R93Htmj7a2pLMzpZxHJPhZV3nojheilxbkl/+ld006h6WbWLbJmGkmC/U2Lt/lHo9YuP6Aa65av35n1QtWrRo8QtES+S8gTGk5LK+ZVzWt+wnbnN8dI4nj49TqbtUdUig1fPu7zHjtE8LJk5XEfk6Fho7jKh2CbwOCYE4t0SjA1C+phx5pLBYiDyq3QptSowQlKehJtAehLYkUoLA8Pn/HtnDcG87gfKpxMG0Ezi2SdXRPHpghLdfsQE/inh4dpL4hjaW1VMUKnUKE2UqowtYQCrhQL9NV85mJl9GKDA8TWgoooyglraIVTRGEMFJjTUD1WIaEQqEozEaISoeECoLNyWwEjG8NoNEzEcIjVHS2A1NWQoyJ6rkNvZgrcgQRCHFch07lHhRiBtF2I5BKrLwExIzYeK6dYQGoxRguqCTJgnDwgpgsDfH5EzpZUVLT3eGnu7z64Lyg5DTo/P4QUhfV+Z54sk0JNe9ZT2X7FhBGEVk0vFzXVw/ifl8hT1PnKJSduntz7HjkhU/MVS1RYsWPztaZoCvPS2R8yYmv1Dlnx84QLXh0Z5JMJ2v8K37D/Dr795NJhkjihTfunsfZ47PsTBdwahqpNBIV+FMa8pDBso0F6MDaP7FVDTVkks14xHZEQpASSKrWa8iHZAo7IyLW4ijI0E18PjHPfsx8hHlhkcq4VALAmr5kD0HR1m9tBsZkxyfzbO8pwMTwX2PHaNqKhJJiROakHNYtaKH2aDOXK1GGChCR6AN2ayBESDKitAAoy3EzVvoHonpKsxahKElfrxZb+NMBLidcbQ0EBhYZYVRl0glWOdarF86xHv+5XWMGnVuP36cxkzIYCrLumwXew6fZaZQJRlIYjmLuuejIoVTjUjMhcRUcwlKmDA5tYDrR6xZ1UtXR5owUpgvIzheDs8L+Mbd+zh8YppIKdqyCd553WZWD3ef20YIca6Y++WolBt887YnGTs7jxOzOHRgjGKhxk3vvPi8DSZbtGjxWvHcOvkr2b/FS9ESOW9i5oo1ipUGywfam2nltsnkXIn5Uo1MMsbIWJ77HjzKzGyZMFpM5BYQxQzMWkR6XFPpV4SmbAoYQEYgGhAIDakIOxaip23Cbppiw5UYHT521kcYmvpUkkiAp0PmGhUShiSdjOEHASMTRUIV4fshPT0ZItHM5jozUWA6qBEkoTYosQpguCHlSgNfhNDQGKq5dKTk4rcd2fy3FZP4WUH8pEaEGqE09V4bPIkfN4hLD3laES/6BMrEFRamJzCURsYEm3SOWFeShyfHeXxuklTKwTFNRmslKuUGbtWnU9v0eCZZL8HEqRq+Lwkq4AYQKEVCC7wgwtPguR7Tk0U+/4W7AcHG9QPcdOPmC54pOXB8koPHJunvyeLYJqNTRe55+AgrhjpfdsbmxRg5PcfEWJFly7swDEm5VOfYkUkuv2oNbe0t9+QWLVr8fNMSOW9i4o6FYxlU6h6ZZIxK3cO2TOKORbFY42//7kHmxhfQYYRcLD4WCCKtUZZEBhrTh3onaBOsusbwBWiNVRcYeYNomYe0IvSsCf0hVq+L1emDBicRoNpdooUk00GNRNwkkzIpVRssVBqgNSuWdNLXleHseJFkT4zxYpkDhRkaMYUhBMqAQkdENKUQxSrz42USbtPUL4pBo9MgSi42NUUC2S6IAgMtDAQCL2NQG7AxGiYykthnXYRtIBXQUARmczZIWYLevhxezqTQZzJ9cpSZWpXh7nY29/VycGaWmXKNFWaKy4eWkJAmB/aPoeuKhIaGYRAYAZGCRj0gnUuwZeMSDEPwyOOnCPwQKeDJp04zNb3Ax/63ay/oPa3Vm33qsR91va57eH5I4sfcpc8Hvfjfc4XJQgi01q1p7hYt3gC0lqtee1oi503MUG8b29cP8cTBs+SLNUzT4MqLl9PTnuY7tz/LxESR55puhNKISKANkGpR8ChNlNAoW4MQNAYUZlUgtUYWDYyaQIw5GDGF9gVIhTQ0yjcQVnMWxYmHRAYs+C6DHV1kdYTWJuV6nVS3g9EHwhbYlsFgOo1yahSnPKKEJrAiRKgxlCDM2UzPlhESREIifI3Z0DjFiFrKwCmAvcSkd0mMM4+5BBkTQXN2RypQpoEMNXJOg2OiDRPlCHTMRFuSKGtSWGZRyWnWtCcYNOKUIo/8Qo3+7gwru9uZLsHF8Q5SZlNgGIYg155ifqpI4IY40iBwJGHCwosixiYKLCzUqVbcpgiTAuVF3HXnfrZuWML46Ty+F7BqXR/bd63EMH84EzM3XeLx+49QnK/RN9jGpdesJ5mO0ZFLIg1JoVQjHrPJF6usXtZNPHZhM0NDSzvp6ckycmaORMKmVvO5aOtSsrmXTrRv0aJFi58HWiLnTYyUgpsuX8/KJZ2Uqy5tmQSrlnQhhGBqegGRMfEbEuXppgHeoiGMFqAsAZGg0QlhQmOVBPiSKBlhl0EKhekL7EnwsgaqvfmVI6qZ+BULOgNi8RDpCYKYxI1cnl4Yp3+JpjMRILpC6pHDkfgYk2EBx42Tz/uMWlU8EaG0RnuaMKFQOcmCDlExSI/QbBm3BUpp4p7kmpWrSPU4bFnfS3Xc56/mH8Z1mtXSMgSrCqEBVjloNkoZBsKU+D02GonfZ2LZBkUCVKnpU7N96QC5eIzpYoWRYpGh3jZuHF7BxJ5Z0GVc16etPcmaVb08cN9hQhr4oYKkSSA19bpLZcwHNzzXBipVc4akVvP46v98hK6ONKYpGTk9RxgoLrt6LdCsk/n2/3qcibN54kmHkRPTLBRqvPtDl7JuZS9XbF/BngNnqTdqDA928LarN1xwi3iuLcm737eTxx4+TrnUYGCwjUuvWHNBS18tWrRo8WajJXLe5BhSsn649wW3zzsh4xmPumng+xq7AFZFIdEomp4xXgf47QJtaYzKovtdzUBWFEJqhJbISCA8gTQV2oKwZoPWSAc8QyArFp4ToWmaDI+e1cwv81i6vEK2nqU0YzPmFGjvbKMrl6Se99AljTAEpmdgFwVBTiGKHtKxCONgu6KZHWUIEqbFZ/7FW88t1Xx/+ihbhvvZNzFNIwjRGgwfCEIyx6soR6ItA2VKvA4DZz4iNDVWUqI0REpxtrBATQQYUjLYnuU9mzeydbCfwUSah5PHOXp0klK5jpCSUsMj25dh3vdphBotFFEEoQ1KKGyxmGklINLNuDwRaYrzVS6+uOlfMztd4sC+US69ag1CCCZG8kyOzTO0ohvDkNSrHmdOTDM/V6anv43rL1/Lto1D+EFIezbxijuhevtyvPuXd76iY7Ro0eK14JUFdLYKj1+elsj5OSRfrTGfCMim40RuRFFENHoltaUaA401IzBdcLuby1cI0DZgaLSWaCHBb94emYAQmL11QmGiaBrkmWdtfE/iYUDUzDfQClRFUJixcRAM9k5jtGlUEKcSC+g3JDMz1aYFjm5GLBiBQWxOkxrRuF0KrQUR4twy26rVPc9bqunrztKVTXFD+ypGR/McOz6NqHhYsy5R0iDMxhAKKv2CMAYx3Yx5cBsh0hJEaJQAtxxgpkyUhI2dPaxoa/oPXXvdBkzbYGJ6AccUlBbqzM1Xiacd6jWFinTTpNSAUEoSpiAIQwB0EGH6CumY2FIwNVnE9yPqVZdk6ocOx0KIRf8fDcYPDRt/tG6moy35mp8nLVq0eJ1puQG+5rREzs8hFc9HG4KL1g/y2OmzxL2IKPQxYyGRozEzEdGJGF5OnOtgjNIKGTVTtkNLIxDoBFg1QWRCbMCjUjAJswFWyUBJjT1uoLtDRJsiqDjNVnQtoCaZf7aDaMigZ9Uc0h0kKCr2VSYIklHTeM+TzcdAgyGbRcNF0AkNJhhaEFsSZ8flK5+3VLN+ZS83XL6Wex48Qi1fp9tywBZ4bYKqUARpiXIMdEzgFJu1RqbfFBRCCIQjsRWYdcjETCbnS/zPe/fwqfdc0/TqAZ5++gwTZ+cxDYnSGq/hk+1KMR/6KD9cLPZrCjs3CDEWX0MJGKGms91BINj79FmkbG7bu6SdubkK3//+Qc6OzFHwQmpHp8hm4nhewEU7huk4Tx+dFi1atGhxfrREzs8hHck4bYk4M5UqoaPwVUQm4WDFJfOeh9HlUotslGUiXY2K66a4qAmUpYgcUAmNZQsMTyBMRagkylBIS2JIhWjTiEkT+6yF1+liZz2CWYcopkFKdKRxH21jUhvQV6Y7s8BkMQuJEKEEVgWcMwZer2zqBSExtEDETbZePEwuE2Pea9DZ8fw2ZyEEG1f28fDt+2Gmhi3AjRQiYRL3InwlIRJYjWbIJqbAqUEQWwzSpFnHI2KQycTRgWQ2X+Ho2Rm2rxuiXG5w6sQ0jUZAX1+GWt0naIT4boghBBHNWqhIgoia3WpSaDAEMSGRhiKVTpDtTpMLFYYhiScdiqU6n/v8XZw9PYdEEEWKjvYUG1d0MTTcxY7LVv/M62QaDZ9GwyeVimHbrUtBixYtfv5oXdl+DsnEYtxy0Qb+ad8hTpfyREAiZVATEaYGIxkhYgKzJLGrCq9LE6UhUhKBJkhrRFwTzQlUDPwkGMdjiLRE+AYiEoi0j7ZMlBCENROz3UOYNgqJNps1NwTgHUkT5jyM5BzppMKfSRMFgiircdwQ+4xBo1M2E78FOJ0xMh0xfKXpSCdZ0dPxguf3wPcPMzlWIKr5hFGI50eoKMJIx+luT1FSIbUgQPgR9oIPtkS0WeiUiY2B60eElqIUevTHU2SrFkEQsbBQ5x+/9gT5Yh0vipicKZOIWSTjNtmEQ8X1iIRE2QKTpmgyhUD6ir5silRW4rohpmNRqrqksjFqXsjYmQXy+Sq+CU7aYklbFu1GFBZqrNm6lO07lv+sTxEOHBznvvuP0Gj4dLQneftbL2JgoO3ld2zRosWrRquF/LWnJXJ+Tlnf281QW5ab5pfz3458n+OFIjKK6En5hHWHWhgnbkJIhKoIIls3c6MEqCSYhoJOjedLgl6FecrCNky8XlCZABHXhDGJ9AAhCEWz+Pa5NWK9+D9Zlai6oGbZxOMehk4j5g2C3pAgZ5A6EWB4BmHaIubCNauGcZIJ4rbF5auXsaa38wXPbXK8gKFBR82lL0NK8EIMoUjaFjoAP1/DrEYIQyAaCicKCA2D7o4kJcND+ZphmSbl2mRSDoM9Oe659xBnR/OkkjGkaK6qObaF8iKSGAzGE5SCgIIOUErR3pZk+cocB58ewa966Eyc3sE2Km5AudJger5CreoRhc3CbCUkjUrAtFVnKJ2iWvWoVr2f2TnxHFNTC9z5vf2EoSKbiTM+UeT2O/dx64cuI3aBreotWrS4EFqOx681rT7Sn2NSjsPF/Uv59O6bWdMZZ0W3pF2kic/3024lWZptZyiVpc2IETcccEDHFEJohNDoVIS/KoCEQgKh1ghXoWzwyw7KaAobHVfoSDa7sZRABiAbYJigLTCrEmkqQiHBF6AlZtlAehIj1BCAaUm2dbXxgUs283s3XcVvXX8pW5f2v6B1WmuNb8HZahV6k6S708STDomETcawyGkTNVXHcDVh1iZI24RpExko7HpEOO9iIZAhTJ0tEVR9Llk3RG97hvGJAh3tKdJJG7fmUyk1mJ8rk005bNw0yLaLh+lLJxlKJBlMpVjVmaMjl6CjK0Mql6Sjrw0zZiMtg9Xr+hE0u7m0FGBJnlNO1XKDuUKVXFuCZcueL+LyhSoPPn6C+x45yokzs+jX4Kva7FyFas2jrzdLMunQ25tlfr7CQqn+qj9WixYt3jh88YtfZPPmzWQyGTKZDLt37+bOO+88d7/runzsYx+jo6ODVCrFLbfcwszMzPOOMTo6yk033UQikaC7u5vf/d3fJVxsvniO+++/n4svvhjHcVi5ciX/43/8jxeM5a/+6q9YtmwZsViMXbt28eSTTz7v/vMZy/nQmsn5BWAw0cN662KO5+fIGTEORtOEQYMEJm3tKTIpj6PBPEEgCUUElkLHFZGh0Upi5DUqJtEpkJ5BUJMQSIxIE/YoDAuomxDpZvK3JzA9TZCEKAFGQxIUHMqNGMyZaKGxpiVmvbk9hmB1OsPygR46e7Lnxu26AfPzVUbP5lFBRDaXoCYVo36dalLQqEckLYNu6dCougyv6GbltuWMTRZAgJfQIMCqS6QnMJSikq8jAgtpG5TDOqVA8uzDp1jSkSWRcDiwf5RKsU48aRNWfcIgIptphmAahiTuWHh1n2qxxqmZGtIQDC3vZtfulViWQSYb55EnTxEEEYZjoI1mF5k0ZHOmLNIILejuynDzTVtY+iMiZ26+wj/+8x4mZ0pIAYm4zc3Xb+ai9YOv6vkQj1sYhqTR8EkkHKpVD9u2iF+Ao3KLFi1eAT/j7qrBwUH+y3/5L6xatQqtNV/+8pd55zvfybPPPsuGDRv47d/+be644w5uu+02stks//bf/lve85738MgjjwAQRRE33XQTvb29PProo0xNTfHhD38Yy7L4kz/5EwDOnDnDTTfdxG/+5m/yD//wD9x7773863/9r+nr6+PGG28E4Ktf/Sof//jH+dKXvsSuXbv43Oc+x4033sixY8fo7m7m9L3cWM4XoV+Lr4pvIMrlMtlsllKpRCbzi9u9cnwuzz88u4+5ao1Kw8cOBdvbeznWKBIlNAnH5sGJU+TdOjrVQFigIiASGKMGom4TxhTtpkvFToGGeEKwdChNoxoydbyK7wK6WYwbyyuUo4hNadwBgRkKlBJoJUBqnLLGmQkw3YD6QIz3blnLO9+1g1Xr+4Fm+OXXv7WHp585Q6Xi0pVNMNCRpSgCUksyJKTBoT1nyLse6ZKPWQrYdNVaAkvw0DOncP2QWp+FjJoGfbFpHzenSZRMiBsQgRE3aGtLkAsM+ofaedfN2/hvf/l9CsUaQRhhmpKo5pNIOlx52Rrchs+ZkzMYhqRvqIOFYo1qucGy5d382995K/W6T6nS4L//zf2cOj1LterRcINmjIIhEIstWEMD7XzondvZfcUa0pn4uffo/seO8737D7NiaSdSCsaninS2p/noh6+8YDPAFyMMI27/7l727R9DKY1tm1xz9Tp2X7LyVXuMFi3erPwsPjOee4z//Oh3iaUu3C7Crdb41KVvf0VjbW9v50//9E9573vfS1dXF1/5yld473vfC8DRo0dZt24djz32GJdccgl33nknN998M5OTk/T09ADwpS99iU984hPMzc1h2zaf+MQnuOOOOzh48OC5x/jABz7AwsICd911FwC7du1ix44d/OVf/iUASimWLFnCb/3Wb/HJT36SUqn0smM5X1ozOb8grO7q5Dcu2clIoYghJWu7Otg/O8NjT0/Ra6foTaZ4+/A67h45RsOQFKMaKIGuGajIAEthJHzWbijRpoZZqDus7+rmXRvW8rcPPU1Nj1CqN1AmNJWOxqpprEqEOKWJViYQdY0SGqOssWcDzEaA12exbEMf173nYlatbQqcMIz4p2/v4ZGnTlKsNhACgnKNXEeK/HiJRFeCjmVtbLtyLQ8/dQLDtIniEU8fnyJEEbghQapZIKy0QAYat9fGmotQdQ+VSSKbbVmU5us4iRgj4/M8OzrJ8LIOZubLGDGTVNImkpJAaPbsGyEKIoRlYDuCnt4M/f058nMV6g2fL/33H1CpuUxMFonHbIaXdzE1scDcfIVQaSI0hpQkHZNex+bxB44xcXaed//KJeQWPXG8xfyr59LBHdvEW2xZfxU1DqZpcPPbt7B6VS/1uk97e4rhZS+sfWrRosXPL1EUcdttt1Gr1di9ezdPP/00QRBw3XXXndtm7dq1DA0NnRMWjz32GJs2bToncABuvPFGPvrRj3Lo0CG2bt3KY4899rxjPLfNv/t3/w4A3/d5+umn+dSnPnXufikl1113HY899hjAeY3lfGmJnF8g+jNp+jNptNbcfuIYd548zrFCnn2z0wwm0gyks2xq72eoJ87d409QqniUwyRBu8CKecScgKcmMwzYp2j43UjbJxPvYNCqIbRu5mFpsCsas66xS2D6CmVIvJrHiiU9dKZTeLN1xLCgrT9DLp2gUnapuMG5cdZqHifOzBKgsA2DmGNSrXnMVOskHYuFsktyocZcoUoEbN7YDNTce2CMuYUqflLiZ0xE0DQ71BK0A9gCM4CapTG1QAKO33RDHhzu5PTEPBgaX4KMQrxyRCpmkUjFsBI2a4Y6qTY8jh2b5ODxSQY7s+Rny8zkK9QOTaAiRc3zsTNx2jqSJDMxEimHTRsHSSQdzhyZppyv0tffRixmcfTwJN+9cy/XvnUzPe1phvrbcByLyZkStmVQqrhcvmPwnOh5NTFNg/XrBl7147Zo0eKn4FVariqXy8+72XEcHMd5kR3gwIED7N69G9d1SaVSfPOb32T9+vXs3bsX27bJ5XLP276np4fp6WkApqennydwnrv/ufteaptyuUyj0aBYLBJF0Ytuc/To0XPHeLmxnC8tkfMLyNnSAveeOcVEtUw9DKgHPsdKPnPVOjeuGqIr+TDXLj1BJXSZraV4cmoYbQgSlo87nWYhconNNJhvL3L72YOk2vLsXt7FPQ+2IxUYHsiaRroahER4itgMHE0XeU9/D+meDmbmyti+YGG6iqsiqqU6B54dIRG3ybYlm0W6GixL0nAD0FCqNVixtI/uDV0Uqy7JmE1/Ks1gVxYpJes3D3D/npN4UkEEQmuEBpRGm6Dii4nkMcADocCOmyxZ3U3XsnbOThUwdET/QBuVUgPLNPBURCShpy9Ld2+WLjTliosKFaZpkGlPcujIJL4boCKFUuDVfVLppjdOww2IpxyuvHQ10xMFFhYazMyX8YKIMIgY8+qccqvcfPkGtqwa4O3XbuSxPacJgojLtq/gLZetfr1PlxYtWrxmvDrdVUuWLHnerX/4h3/IZz7zmRfdY82aNezdu5dSqcTXv/51br31Vh544IFXMIY3Nq+ryPniF7/IF7/4RUZGRgDYsGEDf/AHf8Db3vY2oKnmfvd3f5d77rmHSqXCmjVr+A//4T9wyy23vI6jfnMzUSjx4LEzHBudo6AbGELQGUtQCX3iMZOR4ghnZYOCP4QhF1iTmWV5bo5TpR7iMsC0IqqBTUxWKB4xecJvp0cXSLafoLtjDXMzbUQ2iEiilEZXVDNZXGkUcN/+Y7xj63r2HBql4YXoKMKsRuy/53jTFDDSpExJIhmjbEUk4nHQoGxBTQc85s+ROlvjbVvW8uF1K/mH2x5narpELpegstDAq/sIO2pmb7kCYcjmbJLSBGkJQuClwIgEss0k7I1TTUCQL7G0p43iRIW+9VlGxwtUqx7CD1i9socgjJrPR2uS6RhX7V7N9Ves47994fvNxxQCO2bh1gNEqJmdLOIZTQfpvQfHOHBkgsiL0IFabK9XGJ6iYWrCPWdRgWZ5fwfbNy/l4o1DKK0x3yAhmkEQ8tj9xzh2cBzLNtm2eyUbtw69qnVCLVq0uHDGxsaeV5Pzk2ZxAGzbZuXKZv3dtm3beOqpp/j85z/P+9//fnzfZ2Fh4XkzKDMzM/T2NvMRe3t7X9AF9VzH049u8+NdUDMzM2QyGeLxOIZhYBjGi27zo8d4ubGcL6/rVfS5Su+nn36aPXv2cM011/DOd76TQ4cOAfDhD3+YY8eO8e1vf5sDBw7wnve8h/e97308++yzr+ew37Scnpnn736wh0cPjVCea+DO+uigWS8SNy200IxUGlSCOG4kmWnkOFPpJGEESKVACSJTEMt4RG11jILm1CmX/cc78EJIOB6GH6FR1DsltS5odBqEMUGYkEigqBVfu2sv/pkSLHgEAhZrkdFSEMUNFiLNdL5CfdYjP1ciH/NZSCkW2jQiY1H2Pb7+1AFGSiXedv0m0uk4lapHoVJjoUtTG7aoLbNpLDXRUhEKgbUQEpsJ8FMaZdB00YobOLZJNfS5cusKPvz2naxY2kWxVKenO0N3d5q3XLqaX3n3TjrbU5wZy3N2Yp6lg+3s2LIUw5Skkw5i0SMoipqCDsAPQgILQhMaMY3nBnhmc0mPxaiHMCYJopBiocaJwxMUy80WbinFG0bgADz6g6M88L2DlIp1pieK3PXNpzlxePL1HlaLFm9+9KvwA+dawp/7eSmR8+MopfA8j23btmFZFvfee++5+44dO8bo6Ci7d+8GYPfu3Rw4cIDZ2dlz29xzzz1kMhnWr19/bpsfPcZz2zx3DNu22bZt2/O2UUpx7733ntvmfMZyvryuMznveMc7nvf7f/pP/4kvfvGLPP7442zYsIFHH32UL37xi+zc2UxQ/v3f/30++9nP8vTTT7N169bXY8hvah46OsJ8tc6mwV4iS7NnZIKwFhFY4JgmodIkEpLeZIhoKNA+1cghg09dW8xUk0gjxEm7xAhZsfw0Q37ADw6tYMZoo1410EoRmwdlQKNbYqQgNg9BZtEsEFAxSWnYJnfGBymot5mIQGMGGmUIVMZEeAIlBbIeoaoKPyawiop5XaZ/SRvFqsvxqTn+5Vu2s3K4m1rd453/19/gdxoYHqAhigncHovYiEeUMoiVQvxQY5YihC8IDUXUUCS6bHZtWEpnLsm737qFB584wcxcmY1rB7hi50o62pK0ZROcHS9gSIFtmzz0+An8ICLdnSKZtKnXfEwpwdAEKkQpkIEmtARBXGAEEqOhaLQLrDoYgYBQowJNpBVhIyT0o9f1/HgxtNYcPTBOImnT3ZcD4MyJGUZOzbJ6Q6ump0WLV8LPOp/zU5/6FG9729sYGhqiUqnwla98hfvvv5/vfe97ZLNZfu3Xfo2Pf/zjtLe3k8lk+K3f+i127959rtD3hhtuYP369fzqr/4q//W//lemp6f5/d//fT72sY+dE1a/+Zu/yV/+5V/ye7/3e/yrf/WvuO+++/ja177GHXfccW4cH//4x7n11lvZvn07O3fu5HOf+xy1Wo2PfOQjAOc1lvPlDVOT8+OV3gCXXnopX/3qV7npppvI5XJ87Wtfw3Vdrr766p94HM/z8Lwfusj+eEHWLzJV1yNuWwgh2NzTS6Fcpyx8dFKQNG3WdnaQN/MI4ZEyzyIQWGhuahvFiCyeyPexOZknSnlYTkhoKJb3TzPhtjHyZDsLIkl8ukqQTGCUBEbSJMhoDFcSpZrJ5kYIQkKU1ZSWOiRnAoQ2qAwa2AsK2wdlCWQkkYaGtAFotGgGhYp8wHS8QixukV4M1IzFLGIxi5qpERGgmt1IQgFG80d7Ch1pnEKZpJNCt6cxI03D8ykUalRrHt3ZFNlMnHdcv/ncaxYpRRgpujrSdHWkGZ8q8o/feopiuYFlSpSGS2/cwN4HTlCvec2wTlMQSI30FMKQCC3QQiOUxqopIscECWakEKEGX9GRSlCveujFRPILJQwjnj00xuRsiXTCYevGIdqyiVdy2mBaBmGogKboUUphmm+cmaYWLd60/IxVzuzsLB/+8IeZmpoim82yefNmvve973H99dcD8NnPfhYpJbfccgue53HjjTfyhS984dz+hmFw++2389GPfpTdu3eTTCa59dZb+aM/+qNz2wwPD3PHHXfw27/923z+859ncHCQv/mbvznnkQPw/ve/n7m5Of7gD/6A6elptmzZwl133fW8YuSXG8v58rr75Px4pfdXvvIV3v72twOwsLDA+9//fu6++25M0ySRSHDbbbdxww03/MTjfeYzn+E//sf/+ILbf9F9cgC+t+8Yd+09TnsyjtKahbrLFRuXsXl5P73JNPXI44uHHuWJqcOUg1mUqWizXXZlphk2a3zu9Ba6lc9Va04gVMTcfIKUH1LMd3LvwUESo4r0KZfQktQGkjQGDLweSTIIkNmIYCSOU9O0Zaqc7YyhqyaJyYDIMYkyi8LEj4jPSKxAgSHQPkS2xu22MCJwFhR+j2Tl8m7+7EM3s6zjh3lL13/mvzHuVxFesxwvioFdAWfcJT4TghvizJYJEibe6g6MXByRNOhMJ9m6eoBrd6zmsi3NHKlIKR48eobHTo6itWbrsn6u27CKhx4/wfcfOsrKZZ0IIZieLZNKxnj3dZt48tGTPPH4SWY9l5MTc0hfow2Jm5PECiEgiKQmzJgYHli1CEHTo2hwsJ3ly7q4/LLVXH7Z6gsSOlprvvfgYR5+8lSz7T5UDC/p4FfeuYNMKnbB582+PWe465vP4HkBSmk6utLc8qFL6V/SfsHHbNHijcrP0ifnTx668xX75PyfV7yt9fn2ErzuX8eeq/R+4okn+OhHP8qtt97K4cOHAfj0pz/NwsIC3//+99mzZw8f//jHed/73seBAwd+4vE+9alPUSqVzv2MjY39rJ7KG56r1q/gynXDKJpp3tdvWsU7tqxnZVsHKdtGhYJwQVKeA3c+iV0x6DBdTvo5asIgawVkYw36rRobklN0pCpMEyeTcmn0mTR6JEQRRiiwAvAzPoZZ5/KLT3HTjsPsXn+cVLbGlTtPE8UhTGv8NoHqchFxhXLAWx0h0yHKkISObKaipyQCkAq00RRDRrvJ1w8eYqHhnnt+H71mJ4ar0Q6oGJguWOUIyxPIho/0QiRgKDDqEabWtCfjbFsziCEl9z11gul8c+bvqTPj3L73KHXfxwtD7j5wggePnlmcafnhaypEU1wMLOlgeHUPyWycvmwaM2q2rstIEZsPMWuquVxnCoRudn4ZQmCbJj25FLt2LMdxLB5+5DgTE8ULen8rVZd9h8fJZmIsW9LB8FAHoxMFTp2du+BzBmDztmW88wO72HX5aq64dn1L4LRo8aohXoWfFi/FBS9XnTp1ir/7u7/j1KlTfP7zn6e7u5s777yToaEhNmzYcN7H+UmV3r/3e7/HX/7lX3Lw4MFzx7vooot46KGH+Ku/+iu+9KUvvejxXsof4BedmGXyrh0buPGiNQgBcfv5YYzfOXKUyYUK3WkTopBi3Ua7JulcnWpkoyPYNTCFFBHtVokqg8TTEcvMMsJqChavx8IqiWZhr2fRs30Es7eEYQg+fO0z3HZRkXLDJutWKC6kUX0Ryc4G9SkLAo2d9gnjDoYrmksjGQM/bWIEGiJNFBOIlMCsC07M5DkwPcMVw0sBeMelm/ns/7iPqlTNP39XIzUYbohZ8cA2UQKUbWBaRrNdPRNnNL9AZyaB70WMThVpzyY4MZ0HAX255rejIFIcnZrl5rVreHr/KGfHC1iWgR9E7N6+AikFHR0pHMeiXGpg1zVRpJq+iEqjBQilCFIWTllhGIJYR5wOJdm6fSmm2XRfHhnJU6n8ULiNTRaZnith2yZrlvcQc35ygGakNNGigzGAseivE0XqFZ03QgjWbhpk7aZXN16iRYsWLV5rLmgm54EHHmDTpk088cQTfOMb36BarQKwb98+/vAP//AVDei5Su96/blOk+cP0TAMlHplF+1fZIQQJBzrBQJHac1kqUxnMknCTqPNFI6hkEqTMX2WOEX+5fB+lmTzjIdxFnQMV5tsyU2zYTCPpRTSB2UI/CxECYlZEUwd7cJSPqcbSU552Wa3k+PRP1gk4Qakeiv09he5ds1J+vrn6c1F9HWlyfWa0G7iJw1MXyOjZveVNgS1dhifXWDuTBk3+KGJoGUafOFT7ydWDDEaGiMCu+Bjj1eI0g5BwiJKmoQdMfq7c1gZh2LNZaHm8vSJCY6MzPDt7+/nb7/2KJViA9drRjJUfY+pSoWi79LTm+Hdb9vC2pW9DPa18dar13P5jhUADC3t5C3XrieRsJFCYEjZXHYSiy30lsR2LLpTCTrbM9hpmzBtc2hklnrDJ5+vkEg45HLNGpr9Ryf4+28+wbfu3sdttz/NbXc8Q8P1f+J7m03HWb6kg9l8hdl8hZHxAu25BEMDrVmXFi1a/GJyQTM5n/zkJ/njP/5jPv7xj5NOp8/dfs0115zLojgfXqrSe+3ataxcuZLf+I3f4M/+7M/o6OjgW9/6Fvfccw+33377hQy7xUsghaAnneLA9AzDqV6OLhRwIwvDdhhwimzKTlNWFneUlpEzXaajOGXXYW1vgU2xKr+y6jG+VtyFkgb6Mo1/RuA0wDxksXBxnOMqx4rYHKapMITGMjU9bo1ER5n1mVkuGSjwVvMko8EwH7lsCmV0s+fMcv7g7z2qYVNsYGqCHMQwqDoB6YpP1vjhrF0YRmxYMcD//oGr+OJf3I7ZUOCF+L0JRCyOrPsE8RR+R5zJpEdCmJihph56lCsNDCU4c2KGU2dniSxJkBaMjMxRMX1kzERl4W/3P82tm7byweU9L3gNhRDsumQlhhBMjsxTqjao1T2iABAKO960X1aWxFMhScMhE3PIF2rsOzrOqsEu3nL1Gvr6cgRBxA8ePUYQRgwv6cAPIo6emubwiWm2bRp68fdQCm6+djPxuM3Z8QIDPTmu2LWS7o70i27/UgRhxFOHR5mcK5FLx9m+fohcKv7yO7Zo0eL8+Vm3V/0CckEi58CBA3zlK195we3d3d3k8/nzPs7LVXp/97vf5ZOf/CTveMc7qFarrFy5ki9/+cvnCpNbvLrctHYNCw2X8VKJDuFw8dA8t6zvZar2GAvKoaYsBJpGABXdge8ZaK05WJS8b/AoJd/hnrYtWL4mebIGpokvNE8dWsFQvMIT3gA9PVXarTorYkXcTsVw5zgLkcH/PHwRv3zRXm5uP4mpU/g6xfZlz/K533gb/89ddU7M5omkRsYgqDW9bgZyGWxL8s/HDvPU0VGmz5RwQgNlQ/WiDoSnMfxmO7tZVziRhZeWzWLgkSqNFYJUZFB3A3ypMRSMTBYxNZhpi+p4gBbgzPuYtkGyq4NnpicIiViea6cjnmBHzyC2YZx7DatVl72HxvFNQWRIRMwiFROYcRM3bVDVEb4DyteYrsL1fWwEXV0ZPvIvr6SjIwU0c6xcLyC16MPjLC5BvdRMDkAq6fDO6y96ReeB1pq/+6fHuO+RY6hIYcctDm2b4tfetZtUvLUU3KJFizcPFyRycrkcU1NTDA8PP+/2Z599loGB8/fO+Nu//duXvH/VqlX80z/904UMscUFsCSX5aO7dzJeKiNDm0H7MMKImKmvRKhjTLpxTldz5P00jZLF2UIW6cDOrrOIakTM9cnaLvXDKXTOIDbt4bWb+MfjlAKDfEJQ2lrj4nWneWtiisf7TVIJn2PzvcyXkjxZ7mFNfI5+DFwtCcNp+rpP8rsffB9fePRpDhydoFH2CGyI1QTlRIU/OPjPTOSrVGc01CXxs5r4jCJaJlEZA6eoEFHTMVkLCFMSqQT2rKZeDijEQwwEhowwUhGmjIjyNlHBRacNtCPw0xbmlMuRfzxG5Z0ZphsVluSySCEYLS/w/jWbkYvVyE/uOcPZ0Xku2rKUkVOzjE0VUaZgybYBdMwgl45THC0xcmKWzu4UUggmpxYIveicwAFIxG16u7IcPTWNISX1ho9tmXSdx6zM5Nk8D9+xj2K+TN/STq56x1ay7amX3e85Dp2Y4r6Hj6KVJpVwaNR99jw9wpUXr2TrmlZdTosWLd48XJDI+cAHPsAnPvEJbrvtNoQQKKV45JFH+J3f+R0+/OEPv9pjbPEzJBuLkY3F0PoaokaVSv0RJD53zwxzR34FjcgiVBJvwYHQ4MmZLgLZYG1sihMLWeI1l2AhSZAxMEsm3gqB1ALGbdKFgOBYiic+spqb1j5KqVczWh4gX2qjZkvOlNv5HhVSRo05fYKcnuP43MMseD4bE9s5LgyMXAwnNIi5EflqmVohpCFcRJcgKDnUDInZEMRHIiobBWFcYFUUItBEjkTHQHsChMBwFU5RU+uWJGMeRiqkf6hA8WAHlXwMsx4QGhbKkYQpE7vgU5+q49oxVg51UHQbPDw2wqV9QyzNNlvZi8Uqtm3S2ZWmvTNF93gBT0es2zJENhlj96ZlfPeOveQnypQrLhqIxywGenIALBRrPHr/UeZmysRSNkPdOYq1BpZlcuWuVawe7n7J929hvsp3vvwQc1MLpDJx9j5yglq5wXt/4xos+/z+3CemigR+RFtbAse2EBIWyg1q9ZeeRTpflNKUy810+Uwm3oqHaPGLS2u56jXngkTOn/zJn/Cxj32MJUuWEEUR69evJ4oiPvjBD/L7v//7r/YYW7wOCGFhxN+DZVzOP5/6Nt+emUBFi0W0AjA0hOD5GbpDxdPjyzjs9xGrxLHTGh02k7/FMkVQMNH1CNvTNCSUx5L87+NvZemqKbRlMlXI0ttTol61uDu/mgOzNXJxn55yikf3LmfljoMEhRJbrEGWdK5DRRFP6FP4Cwa1agPlCKStEZZCOZJGnyBdB+IhqmIivYjYnIfb7aBME6MaotGIUIAUxIuKmhlHzWrUrMnwiinm/CHsmsBoRKiYSZAysRY8jAAqsw2e3TdOXXuUtc/X55/l1ht30tmWorMjg++PUa/7SEMQBBG7tg/zS2/9oUP3ls1LOXVqlmrdp1pqEHgRuupy4vAkTzxyglPHpkmkHOo1l6XLu3nnLZeQzSZIJl5+qWhqJM/c5AJDq3qQUpJMxxk/PUthtkzP4PkVILdlkyTjNpW6RxgpKlWXRMxmWX/by+/8MtRqHnfduY/Tp+YQEjZuXMK1123AsoyX37lFixYtfkouSOTYts1f//Vf8+lPf5qDBw9SrVbZunUrq1aterXH1+J1RAhByulh1o2jlERIjQaiUKClBqERKI7Md3FkqgetBbZrU98Y4RxXRGkDK+7hd0XIaoAJNLICmTcQkcHZ+gDp9Qskcx6phEuxniFfSDE30Y7s92mvRcyFnczem6VzqIiVmmBhthNpJfAWQhIdNoGtQXAuMkIEEMUFkSUgBmFaEJUVBCEiMJGhhkATpU20JQhiYFYhiAvicxFeaDJ7pg0dQWiAEelzKeZRwkDbEBQDRuZmsVc7dJlJps8ucOcPDvGhd+9k545hzpye4eihCYQhWbN+gCsvXwM0W7k1sHHDIEEQcfu3nqawUKAt6VAcK3Lb3zxAI4xYtqoX2zEJ/JCJ0Xm8mk+y7/wEhjQlQgqiUCFtSRiESCkxfgqH4vWr+ti1ZZg9+85SrwWkYg67dy1nz+kJDo5Nc/WmFcQc+6c7mRZ56MFj7Ns7Snd3hihSPP74Sdo7kuzcueKCjteiRYsWL8UrinUYGhpiaOjFOz1a/Pzg+RrlW6hIwWJEAUKAqTFVwKliNwQO+BIdCXBCyET4SUm97uAoDzNQVPpMvF4T4VnYNYFvKvyKw9ZVZ/Ejk1O1JFkZMpew0LMJ7I46yoLANikUEpCLGBqSzM/ZrF3TR2m4xumZAq5WRK4BJQOjIZrGCAaksLBiBuU+hVMMkJFGNCJIGfgxAyMAZULoCLQJYcogPhFRLSexVYifM9C2wHBDtCmorLBIzmicKY+o02GpmWNLogfVrpiaLdFwAyZH8pTHisiaj2kadDgWyYTN40+e4qlnRogixfp1/Vx56Sr2fO8gqeEuevrb0FpzaO8ofqhQiybkajHi4adZzlm6qodla/o4dWgc0zSIlGbbFWto7z5/N9RU0uFXb9nF1g1LaLgBByen+etnn8V9uun7k/6y4D//2tt5y5bVP+2pxOjZPKl0jHSm2alVLjeYmlz4qY/TosXPBfpHvqFd6P4tXpLzFjkf//jHz/ugf/EXf3FBg2nxxiQl4whPIJVEa4EWizM5DXCNNFortAky0jAQohzwu0EYkLLqZP8JvA4TbyhJFBeIEJSjiM0LgnkHa4kiHa/R69RYlVrg+4UhcmadBiYIiGxBqCx6O6ps2H0aTYKuxGbG6xtIyhS37z2GLhkYkdGcXaqDMWQyUE+gFbhGiGx3IDIwDYmiGd7J4mxUrd8Ao5l1paVAFBsIS2LXwO03iU/5VFck0Y4gPu7jlDRWqNjst5NKWJwuzJNNx4gixb2376NW9VizYZB61eXA0yMIx+SZoxNYloFpSh5+9ARSiBfkVMViNpmUw8ToPLGYhesGrF7fT//LLDNprTlwaopHD5zB9UOGN/Vx5cpu3IpLZ2+OzbtXvcBv6uXIpONcumMFE4Uyn7z7Hmqmai5RCkHZUHzmr+9k/X/uoyfz07WnZ7JxJqcWUEqjtcYPIlKvIHKiRYsWLV6K8xY5zz777PN+f+aZZwjDkDVrmlPxx48fxzAMtm3b9uqOsMXrTkwI0lkXjLApGqoOqibxQxutQMQiRC7CqodcuuEIj0yuJtdvomfqBPtSFJeahCmD0GrWwAilwNZIT8CcxRPPrOCG7Yd4b/9RzoQ5zEZIp6gwpttpWgYLREyxZV2Rhkoihcdo9R5WpG/i/77qXfT4D/G1pw9Qa/iYStLRFmfN2h5yymJ2pkS1IQkWalgVgVOPiBoBlU6DIGkQSY2KCwwPDBdE1Gw3F1aEUIIwKzHdCNPV+HFBvd3CKrmIesgz9x1Dt8UIHcnAQBtfvetpiqUauY4UUgpSmTjzs2XOnJkjihRLFsVKGCpOnp5lw7ZlPHjXAaZG5wn8iFx7khvfu51n944yPb3A4MpubnrXNmyn+WeqtWbs7DxzMyViMYtVa/uxHZMTY3m++cB+/CDCsQwemStx9cUreftNW1/iXT0/jk/PUiOESGPQ7FBTlqCiI45OzJ4TOYVynfufPslssUJ3W5qrt62kPfPCYNDLLl/N3FyFsyNzaGBoqIOtFy97xeNs0eJNSavw+DXnvEXOD37wg3P//ou/+AvS6TRf/vKXaWt7rqukyEc+8hGuuOKKV3+ULV436qFHgWkcS+MHGlMqjJRL3AhJJXyOFPqx4gppBHTaFXaliwyu2sv/u3cH124cZyQYZHayC/XcrGygEVJAJFG2QBkKNR3nkSOrufjSRzk5uZROs0ba9hAzBsoQmH7ErdfbZNM9ZOymRUHZH6PgHWUwdQm/fd0VvG3jGqaKFRKWBTHBNw8fZrJUZSasY5QU5nhEpj1Bx5IUMxNFolKDRqCwKxFhQhI6JqYHdj1EKDBrCiUjzIqJnzUwyyFB3EKh8RMG/Z0Z7EiyMFdj/dUrae9McXR0DoOIaLaMEzOpVzwM0yCTSzBTqfNcFq7vh8RjFruvWY/tmJw8PIkTs9lyyXLOTBY5NT5PFCpqEwUef/IU11+3ESkF+54Z4Z479tFo+AghWbuhn3e+dycjU/NUGx6rBrsAmC1WOHR6mhsvWYvxU87g/DjJuHMuq0vrH15TpRYkY826HNcL+Pq9ezkxNkcybnNqPE9+ocqH377jBTEUS5Z08Csf3M3Y6DxSSoaXd5HJtEwGW7Ro8dpwQTU5f/7nf87dd999TuAAtLW18cd//MfccMMN/Pt//+9ftQG2eH1ZCGrYtsDRAiUUoTIwTEU6U2eVNcexhR6MeEC8quhrK9ETa9BrNZgeOsb900O8dddZ7v96msCyiEKJkIClESVJ0BOhLEHkafLVDJ87uIOBtiK3LDvMA/m16EKCDsvis796M7m2/czUnzm3xKOIkKL5ASqlYH1/D+v7f+hCnJY2/983HsVZiJGoOYzToF5soA1NEEUkQ4kuhgDE5yJCWyOQGNUIbQiEFmhTIrSk3m1juxqkxp4O0bagEIMeLCzXJxePkYw7pJMOiUwSe7LGycOT2DGLK67bwNptyyh9aw+nTs8hhCCTjrFr+3JMy2DX1evYdfU6AKamFnj69mfJZGKYpkE+X+Whh4+xYf0AHR0pHr7vCBpYtrybet3n6MFx1m0YxDRkU4AsvjZBqEjGJeJVCO9b39/D+p5uDk7PolSzyNsINOsHeti0pA+AiXyJkakCS3vbsC0TPwgZmSowkS+xYqDzBcfs7EzT2fnTuzC3aNGixU/LBYmccrnM3NwLk43n5uaoVCqveFAt3jikzBjD2Q7GK5NU680OK8OMcBIBgZRksi6m7ZFRERcNTjMQr6Ck4IrecZ6udzDrwsbMDGuWFtGO5O4TK1iYTRClIWrXiLJAxwXaiiif7GT7lfP09d/Irw8v5aZfet+5cRQ9g6J3gqJ/CoHAlml6Exf/xHF3CIe2Bcmqrj7mRJmzzjxBI4RQYQhJbyZFueJRKNcRCqxIo3UIUoBSRB1xlCmbXVVpgaqDkhosgTRMpCkpFOtYAoQliSJFrRHQ3ZmgoWpo0ey197yQ3q40H3jvTo4dnyZSiqVDnQwvfeGHf8P18bwAFSnOjuRx3QDPD/nWN/ewdFknZ0bzmJbByNh8M4zTD5mZKbFh+1KePjbOibE8hiGwTJPdG5ch5SsXOSnH5rP/4mb+87d/wDNnJjAiuHT5Ev7g1htxzOblQ9Asjn5BwXQrIblFi5emtVz1mnNBIufd7343H/nIR/jzP/9zdu7cCcATTzzB7/7u7/Ke97znVR1gi9eXjJVgZ8dqHpo5gJ0MkEIhUTSUSd2KsbZ3Bs+MWN0zwzVtYwzbHhORRTLms6S9hBc61DZ4LIy0kxxqcEl2jLu8VbjdAiUFjicIYwqpQGjJ4XyOD63aT9zZ/bxxtDkrWJ/7AHnvCGhNe2wN7c7KnzjuWMLGsU3KlQZFz0NZEsOXBFozL0PmKh5GKNC2gXRDhNaouIk2Qck4KmaCBiUiVMzCDELkuEuYcLAbAf50FUNJBpZ2MFOpQaXOQFeGxtkyrhuwdtMS6jWXvU+eZvnqXtZuGqS766U7nDo60iQSDvv2nsU0JL4fUqu4fO+OfXR3Z5gr1WjUfSwpiNkWpiH5/gOHMU2Dy1cOURz2m1lX/R1sWtH3qrz/AIO5LH/14XcRRBHmc6GjP8JAV5ZVg50cPjONY5t4fsj64V4GurKv2hhatGjR4kK4IJHzpS99id/5nd/hgx/8IMFiCrRpmvzar/0af/qnf/qqDrDF60+bnSFhpgj1LDEREGlBPYoRCZeBbIXpyOaKtmnW2B5CwlwAZQ2D6Trp0OMYnSzMZXnf2gPsT3aQXShStXPImsSsCdw2jVmVaAmz1QzHR45yw9YXzgjmnGFyzvCLjPCF5Ocr+EJz/OgUxUqDRNwit6aN/dOzBJZAGAZhCFZVEyVMIgeMSBLGJBgCEUGEQsUlRiAxPHCKIe6QgxlCLGaSiFn0WzarersQpkF7Ms6eI/O0PVd4nI6TnylTKTXOa8zZTJwrLlvNoQPj+H5Io+4jlSaMNAvzVeRi6740DMJIYTomJ8/Mced395FNx7n2xo3svPInC79XimW8uGGfY5vccs1F9B3IMFes0dWW5NJNw+fytlq0aNHi9eKCrkKJRIIvfOEL/Omf/imnTp0CYMWKFSSTyVd1cC3eGNjSpMtpoxHm8bRNqARCQI/VwA9N0ILllo+WMBlBmxTUZMiu+By9RoVimKB35SwOHqm+Bm9bd5K/nt5MrBwDHWHVBFYBwnSA79v8vyc2cLT0Da6+uIsbB7Ziyp/ODffs2Tz//O1n8PyQ7r4cJc8j3pnATxr4AtAgQ9BKE8UlVimASBOmJSopET4INEFCIqUkPqsx6lHTZ8cHUQowUgmWZBIcf3ac04en6FnSjhOzKJUbNGo+zvJOatVm4XG27YVdRj+JjRsGuWjjEg4dHMPSUKm6i+3mCoHEckyy2QQqUtTrHu3tGZYu7aBSbvDgD46wfuMAhtl8veLxCzPsuxDSyRg3XrLuBbdHSlF3feKOjWn8sAh6fHqBfLFKImazYqgTw3hlBdItWrwpaS1Xvea8oq9ayWSSzZs3v1pjafEGZU2ml+0dq2iEBWbceSypWBIrM2jVebi+lIFYjSca7WwyAtJo2mXEvAGXpabwleY+I2Coa5a16VkKnkNuqMF6a5QRsxu3kMVY0BgBJEY05bigHEtxv2vzWPGrFC4r8qurrn/BmMbLZQqNOtlYjKFM9nlLKKfPzFIuNRhe3oUQghDFZKGCa4RNH51QI6Lm1UELEKHCDCIwBG42hulpjFATK2m0oRAKjCAiSBk4eRdZCymNLbD/+CwECgxBqVRj5boBTEMiJUyPL2A7JpdctYaV685/6SiVjvG2my5idGSOqXIRxzZRWhM0AiIVEUvECFWEWw+ItMaWkmPHppgv1kBrPvOfvk0m2SyC3rR5CVdfvQ7TfH0iE85OF7n9kUMUKnWyyRhv372elYOdPLznFN+5dz+1uo8ENq7u4wO/tINMutVl1aJFi1eXCxI5b3nLW17ShfW+++674AG1eOORMB3+xfClrM/2M17Zx/75x0lJi4noUq7tTTHjHiIls2ywRtFCEGm43CoBGilhc7LIpZkZhKGIhyHZXIMrzVFGgwwrBhc4fXQAt2GgLIPUcR9/qUXD1hRnUvzD3m9ySfooK7o+iDQ6AHhodITvHD9KxfdJWhY3rFjF9cMrzp2TQsjnfcHpyqXIZOL0re7iH77zJG4jaBqNGs1sKukFRIZEehHphkZEAk+B6Soiu1k+q2wD4RjYFRcEEGkiP0Ig0FJSqnjs3XOG3oF2eld2M7C8i4s2LWH12v5z48rnK1QrLtlcgra2F856Visu83MVctkE//JfXck/f/0pahWXcrlB3TKxEhaJdAw0mL0GUxMFCtNl6g2fMFDYcYvKyAydbSlWDnVx9/cPUfUDbrx2I/Efa+V+ranWPb7xwD6m5yt0ZBNM5st884H9XL9tDX/9vx5mamaBRsNHK8WB/aOcPjLFv/8/3k5XV7PrKooUBw+OM5+vkEg6bN68hMR5ZHe1aPHmQiz+vJL9W7wUFyRytmzZ8rzfgyBg7969HDx4kFtvvfXVGFeLNxhpK8aVPWuhZy0dyWU8lj/IgCXI+8epRiGGUWFBC9IKPGURCnBkgCFgWyaPYUgWQotV9jxoyZXmHMd7JwnQTHan8GeS1JI2sZkIVbGRaY0sC8YeWcofpg7y5Z2/D7n/Qt41uOPEcQBWt3cwV69z96kTrOnoZGk2B8CqVT08u/csZ87kMS0JGq67dgOX7l5F1rL42689Qs0NoB5h5V1kBEQK4WusaR/fEUhDNJenvEW5ZBlIX517PYRSzTZzW6ItA0JFoBQTI3lG50poxyCKm2zdvJT/8Ilf4pknT/PMM2cII00qFeP6GzeycdOSc8cbPTPHd7/5DIV8Bcs22LpjOb/6a1dy8tg0WmmWr+qhb6Cd6ekFEIK52RJf+8rjTE4VCQKFEM3uLCUifK0ILCgV65y6Y4HHZ6f41zfuZGXfCzu6XitmF6rMFqss6clhmQbpRIwzk/Pc+dAhZuZK1Nym0BSGxEfz7IGzfOfbz/Cvfu0qtNbcd99hHn30RLNtXWtOnZzhlvfuJBb72Yq1Fi1eSwQgXsGSU0vivDwXJHI++9nPvujtn/nMZ6hWq69oQC3e+FzedRHVsM6Bwj1EusHWXB/rUoppd4azjRhC2URaMl5PcUPfGZQ28ZQmJkJWxn2EBjeI+OWBEzxS6mSis5OiFniBSWUjiGqEmDdwygIlJPuO9fHX2eP85tYnKHnbqPkeQ9kcQgi6EgmOF+YpuS4sNvMM9Ldxy3u2s2/fKJ4XsHx5Nxdtbmasve8dOzBrEd/4x8coFT0aoUbZJiJSiFAT1QNkJDEdE6GaYZ4AyhDIRnhuDVwuLnchBEjZ/EsK9WJHFphFD9EIeXrPSf7Fh75AWgtkqOjoSNK1tIPv332QwSXt5HJJgiDi7tv3kZ8tM7CknVrN48lHTjC4rJPr337R8177FSubXkCF+SrJdAyn4mA0fAIvQCmIQk2t4lON8phKYsU0e06Oka/X+a+3vp325PnXB70SHMvENg3qrk82Fafu+diWSeBHBGEE6MULdPP/nowYHZsHoFissffZs+SyCXK5BL4fcvLkDCNn5li7rv9nMv4WLVr8fPCqtj986EMfYufOnfzZn/3Zq3nYFm8wkmaMm/suYti8C1O2kbGy+CrFpHsSM4yIacHpaobH5/tJ2w2WZKpkZZ2EEWEJjdACk4BBXaPTTmLYASohoKHwExbxWAN3Nk7aVWhH4udj/ONkP+9Yk6ctHifjxJisVuhPpZmr10jbNu3x5394Dy3pYGhJx4uOX8Ytll+0hNPHZ6hNFpveOBgoDdINMbyIWNJBC0moQrTSyEAhfNUUPs99fZLNpSotaBoHKoXWutl+Xg8wGiGWH+C1S5QPVsOnVqxRnCgwvG2YcqlBLpekUfMoL9To6ExhWgbZXILifJXyQv0nvgdDQx1ksnGCMyFREKEi0M+V3miFroMfE8QDSBk2k/Nlnjk7yXXrX7z7KooUbsPHiVmvSg1PX0eG7WuHePTgGfKlOkIIdqxbgm5EPPbUCVw//JGtNVpC5+JSVRBEhFFEym5mWlmWgYZFcdSiRYsW58+rKnIee+wxYrFW2N4vApaRIufk8MJpIIsXliiF7RwurWOyWsbEpRaZFMM4G40C7ZZP0yuumV9lAKGw6Iv5XN85xm3lJJAEG4TtoaI4Kq+b2VKRJIwMvnHM4P+4NMG7167nm0cPM1oukbRsblq1msHM+adsW5YJQuBGEcIy0IthkdAM6Ew6Ft19OTw3xHMDOjpSyDBienyBSqlBFEYQRajFpSptCog0ypEIXzd/NyQiDJFBhKoFYBpIy0AiqJUaTByaQAXND+140mm2m8+WSaRi1GveYgt6DK01UxNFqhWXTC5Bb18OgJ7eLO95705Gx+eZzVfQBiiz6WGj0UgNkSUIA0V9pk58eRovCF/09ZiZWuDu7zxLfqZMIunwlrduYvX6gQs+N6DpQv32S9extLeNYrVBNhlj43AvlZrLE3tP8+T+s0RBhNYKTE1fJsO73tXMvWtvTzEw0M7JE9O0tSWpVF3a25L0LT73Fi1atDhfLkjk/Ljhn9aaqakp9uzZw6c//elXZWAt3thIYdOTejdTlX+kHpzEEDZT3jAPFtqwjS7csEzaaLAiGdHnNNBanMtAUhoqESA0q6wGK9td0Ca3nVnHXD2NlhLMkPpKC7kAyoD1YoFy0Oy+2d4/wHBbG4VGg5wTo+untC7YtHGQY8cnFwuCBWiNjhYztTR4UYQKIixTkuvJ8q5f3oFbcXnonsNorahUXeYX6syW6qhIIbRGExE5BjpmNI0NgwiUbv5bKVAGWkMYRRBGVPIV/u5Pv8uv/JtrWXvRENe+fTN3fesZRs/MYdkmW3cuZ/W6fh598DiPPniURt0nmXK46roNbN+1AoAVK7q5+vqNjMwsUK16CL2YD6YFGM3n4qsIK5TYpmTudJGJjgIDP5Jq7rkB3/3m04ydydPRlaKQr/Ldbz5Nrj1Jd2/uFZ0jhpRsXvn85aW2bJL/+O/ewf/89hM8/OxJAj9kzUA3H/vVt9DT3VxvtCyDm2/ewve/f4ipySKDA+1cc836VhREi58/Wi3krzkXJHIymczzuquklKxZs4Y/+qM/4oYbbnjVBtfijU3CWkNV/Qqj1TG0MBn1Z+iOVwkjTdZMkYwZuLGLGCv9LxBnSTo+poBSIMk4HkOmS2gZxHTEZHaetw0e5xv1dXjKJJXyqUmLNmrkrSQn8p2sWjPHQ/sPcHhfkSCM2Limn2U7fnrzu6GhDt57y06ElNx11358b9FkTwtijkkYasJQ48QtLNvEsk0uvekiOruzzE4vEE86HD4zy1N7R5gv1hCmwE6YzJzKI0OFXWwgQgVKgVbISDedoqUg8nwIFVbG5OSRKf7mz+7kj754KytW9/Iv/vVVzM2WcWIWA0vamZ0u8eiDRzEtg6XLu5ibLfPQfUfI5BI8u3+MuXyZmdkybfEYVAPqnk9kSYQpSbcnCIVuKkpbkp6NOD07xm3HC7z7fTtZOtwM81wo1pidKtE3kCMWt0ln4pw9PcfMVOkVi5yfRDLu8Jvvv5Jf/+XLgaYY0lpTLNRwGz659iTt7Sne975dhGGEYbzQZblFixb/P3v/HWbXXd/74q/varu36b2r927JvVcw2A6Q0EJIgQA5QEJC7u9cEnKe3OSXnJz0QHJTgBAChGDADWPLvap3jTSj6X3PzO51le/9Y0uyhSRbkiXLZb2eZ4M8e5Xv2ntm7ff+tLfLuXBBIucb3/jGRV6Gy9uRZyYGuf/YUYq2Rcm2mC1nWVNfR9TjRxGwb3aC+/eqTAxuplBYQVM4RXvTHEOqn88v3k13KIWKzVxZpV4rsbxqmufD7Uymg3RH5kl4TYyyQzzrJ1f2kSgP8+8jUwTnF1MtfGx9thcQXLdl4XmvPRj04g0YhGJ+ZucyqEIjoGiYmRJCwNr1nYRjfmam0+x4eYD1G7tZt6UiqPYdHGNmzyCr17TjMTRGxhN0tFZTbI7z4LdfrHg2OQ4gEX4PrV11eBzJ/NgcuZJJMBaguaeBcskiPpmkr3eSVes7iVYFiFa9EpXKpAsU8mXaj8/7qaoOMjo8xwMP7iaVLRIMeRkciJOcyxIMeNAUhZJlEawN4Ql6aK4Oox6PKi3orhQsDw3E2bVj8KTI8Xg0DEMlny/j9RmUiiaKorwpXUwnHNKllLzwzBFefr6PcsmiujbEHXevobm1+rLN+HFxcXlncEEip6uri+3bt1NdfWphZzKZZO3atQwMDFyUxbm8dSlYJo+P9KMJlUXRGCXbYmoyzdHkHD0xh2SpSDJRpDStMjLvo2SqjKTDbJ9sRK23+J63yP9c/hJJS+PRuRbmTY1N1eN0+TIE9Dwfbj3M/tlanphYDIqC4S2RdEaYC4fZW+VjkRGhbS7KoaMTFyRyDhwaZ2wiwbXXLOKJRw+QzhXJWSYeVVBdFSIUraTGPB4Ny3KwLBvDU/lzSabz2LZzcnhdXU2IVKbAb37pLm553zoe/9Fudm8bwPFoNHXUoBk6nd11+ITNt/96K4WiyciRKfxBA+E1GOyfJhoL0HZczJwgGgsQCHqJT6epqg4Sn0mjKIK5ZJ7OzlqkI/HpGuWAh5rqELqu4JRs7nz/Wlav7cBjaDx4/05GhmZPHlc3NFKpAgcOjyOEoL4uxPJ1HWx/9iipZB4BLF3VSkdP3Wmv2cx0ip0vHyOTLtLcWs2GK7pPviZvhIH+aZ594jAen051bYjJiQQ/fWAPH/u169B1V+S4vINx01WXnAu6Qw0NDWHbp3c6lEolxsfH3/CiXN76lI5HbwJ65Ru/R9Vo8kVoj4TwaBDChyzqZMwyBcvCEgLpCCxLh1mFR7UunLhKIqQwqfnQsIh5y8yj0BTK0BzKk1em+I++tQSKFivWDaGoDh5fgayRYkexRDacpFY994LjV1MoVSIWwaCXK69dxN59o+BINq5oZXoyxfDgLOGIj8R8jlVr2/H5X7FICAd92NJhZDqBz6OTSRZoba7C69VZvLoDbzhA0nZoaIxiGBrlssXoyCwDO4YoAyAolyyyuRLhpjA7n+vj6L4xtty4hCtvWHpSkNQ1RLju5qU8s/Uw42PzFHMlqqqCxCcT5GtD+IOVwmRDV+loq0ZIyfRkimjYT11tmFLRxDZtRgdnmY9nCEX9zM/nmM8XODo1z3wyhykd2tqrqV9cx+LmamLRAEtWtFSKs19FMpHjR9/fxsRYAo9X5/DBcVKpPLe/Z/UbTiUl5nKUTYum1kqtUG1dmMR8jmymSKzKtYpxcXG5cM5L5PzkJz85+e9HH32USOQVl2Hbttm6dSsdHR0XbXEub11CuoeOcIw9s5M4UpIxy8Q8Pq4MdXO4d5rZVJZUvMhYPoUdLiOQUFaxAcoq8WSQ+weW4URs9I4sXr/FDrMGNWpTsj2MmBr7JppZ6p/nfVe9DD7Jjmw7liPweE0ylsqYyJNpGqNoF/CqlahK2bGYLCQAaPBG8ahnTrs0NUTQNIXDRyaZmkySLZTRheBI3wweVWFmKk2paGKWLErpIl3d9axe1wFAVXWArLQ41B9HOpKG6jAfvvKKk/5LQlCZhHyiY8uRxCdTTEwmK89z/AuYpqIUbRYua2Y+nubpn+7HH/TRs7iBcKTSEr9uYzftnbU88sOdHD04TiFdoDifY+8L/TQvbED36Vhlm727hiiVLAIBD0f7p1ixqo1HH9zDwNEpDENlfHQea3gW1athzQki1QGStoljOQSDHgpli7aOGq5bf2YD1MFjM0yOJ+jorkVRFJKJHL0Hxrjq2sWEI2/MjiEQ9KAIQT5Xwuc3SCXzhCO+U4Sli4uLy4VwXiLnfe97HwBCiNMmG+u6TkdHB3/xF39x0Rbn8tZFVRQ+sGAlQghG0kliHi9XVLexfcfISa8iHEkmXwR/pYtJxMqoXgdzwodaEjjCQZZU9LIgXJtjruxHEQpen4I0arhmgZd1i/YgpYNOGccSlGwd21FQNIllC+LBEXYlXmRLzQ1kzAI/HH2JY9kpALqC9dzTegVh/fQBeMsWNzM1leLb33sR25HURP1k5gvkSmVqGmIcPjBeabkWMD2XYfvnv8WvfeYmPvShLTy1ow9fwMMVazrJZorMZ/KMzyRZ3NMAQGNTjM6eOo4cnsTj0SgVLQxFgFMZgFeJfMiKBYZtg5SkUgX6eyfJfucFmttruO2u1bS2VXN4/xhTE0mOHhynvjFCJBqgvinKof1jdDTFuOXWFTz9+CHGR+forg8TrQ7S3zfNs8/00ntonPqmKJ0LGtixbYDZmTShqJ9syWRsbB4zUBl6mMgVqa0Pc2wkfvY3XFaE24khQUKI4yMB3ni8fMHiRlauaWf/3hFsyyEU9nHdTcvd6cYu73iEfIMTj9101etyXiLHcSpj7Ts7O9m+fTs1NW/emHiXtx41vgCfWr6JnFXGo2ocHJxiNpWju6kaIQTNToi+3DSlgAUeCT4bRZeIgAMZBccDeBwKlk5XIIuDoOT4yZQtHhtuxZ7toCFWy8r2bZSFStb0MJf3UbI01ON3h7GxMs/4nyKsNzKazXMoPUqLrxoBHE6P8dzMYe5oXnfa2hVFsHRRE92tNVTXBBkbnsPOW0gJx/qnKZs2CIFUQTjgKIJvfvMZNl+9iNlkjkjASz6RZ3JolkSxxKM/3sXiphqaO2owPBrvvWc921/qZ242S3VNEKtQ5sDLx5BSIE8MFJQSoShMTyY5uHcEq2wz0jfN2NAc0xNJFi9pYuDoFKWiycjgLADhiB/Do1FdFeSKTd0sWNbMjpcHWLSsmVisMj35yNEpHn/iEOn5LAs8DUhKlIomuqHi9RpMJrM4joOwFDAESbPETDpHc330rO91e1cttfVhhgdn8PoMivkyazd0EQq/cVNNTVO5833rWLaylWLBpKYuRL07E8fFxeUicEE1OYODgxd7HS5vU4QQBPWKcaKuqiiKoGzZePRKwa7hVciHnYqbt1r5cHe8NkpBAdtBbSqiKDapgp+Qp0zWAr+nxGghRrzg0DdXy1xpDR1tA3g0i4heJCECSFvBdAQDEzo1epknteex7TA+xcCnVtIcfsXDVDF51rWHwz4iET/JRB6vV6dQNPH6dLK50sn4xMlvSgKKjmRkIkFjTYTHHtvL9MFJLEdC1Mt8CR74jxf45S/ciqZrHN41xPzwHP6AwaKFDTS0VvHf//osQ/3TFc8mQAE81UEGjk5RyJZwgPxMpWonnciRnEmzcn0nhq6STuQZPDaDYWg4jkNDY4zm9mp0XaWmNsSxvin8foNDhyeYO275kC9bPPviUYIenWyqgO7RWdQQZng2iaaoSE1F8amUNImqK1y1rvusr1VVdZD3fWAjLz3fRzZdoLW9hk1XLbhord2qptC9sOGiHMvFxcXlBOcscv7mb/6GX//1X8fr9fI3f/M3r7ntb/3Wb73hhbm8/ehuqmFJax0HhqcrSQ2h0NkZ4ZBvrjLZVgrKGQ1h2AhbRykKfFqWbCrI4OFaWlsTzOFlDh8IhSxQKqpsH2liXK1C88zQGEhRKHmIl8IIXZIreZieiLG0x8YkS8HWKDuVyb55p0St5+yFyaGQl1tuXs5PH91HomQSqw7g1VQKr7ZTOC5ypFBQvSqqotDi8RB/YZBytgSAiOeYUTWeH88gFYX6xiiHdw6iagpmyWbo6DT3/dq1fPTzt/Ctv3uMfLJAsWyhhbwUpaRkW2R8CmrOqtQu2RIrlefY3iHWbe5GURWaO6qJz2UYGJsnEgtw44YOolVBAG68YSmFfInxsQSz8QxNLTGWLmtCCJhP5FA0lYaWKjLFMjMzGUIhL2pziO7lTcxnC2RLZd5340oWdJzeUfVqGptjvP8DGy/01+N1sa1K9OxEbZOLyzset7vqknPOIucv//Iv+fCHP4zX6z2rQSdUvtm7IufdidfQ+OB1q1l4bIJsoURV2M8OZy/xsXHi2QICG2/Ixk5rOGUBtiAzGcNbsHB0hZm5CGVDwfEKAkYRxWPi5FVyGY1B6SfQFMO0NMJGnjnDT9E0sAxBxhakSyU6gw3END+DuRmQsCDYyFV1S15zzdXVQUIRP+lciUVLm9m8oYtcpsDf/u1jJOdzQMXqwfHC2nUdLO6u51+++iNEujLYUNNU7GwZU3ewA16mJhLs23aMrp56GlurkFIyeGSKgcMTNLXX0LG0hb7eSVTHIVMoYQlJdi6D5VexDQUjaSJwEA5Y6SJbv/cStQuaONY/jYMk0hRB9ao88dRhWturGRmIs2/nMJZlE454scIaM7LMwbE42XyRUNjH0lWtNDREGRiM09VeQ9fyRp45OkwyWyAY8nDjxoVcvfLsUZxLTbls8fzWQxzcPYKiCtZs7GLjNYtcsePi4vKGOWeR8+oUlZuucjkbfq/Blcs6AEiWczzRn+PG5sU8dOAI6XIB3XDQC4KSIrGDAlPV0PKCaGuGeDYMVWUQDlIooILht3DGPJTLAjSNdKOPgukhW/KBrSB0iRVI059wSM03cE/PKpaEKuev93k4lu1HFSpdwXYi+qlRnVLJ5IGH9zA8MkssGmA+meOlnYN85EOb+dM/+0W+/b0XOXR0HNWrcfU1i/nAHeuIRfxkU3l0XUWREsdykI4DUlLTFKW1o5aRvmlKJfOUc0kJHd11XHXdYvqPTlWKdnWFYMBDNlNClB1sv4ajWagoSNNGeHRmB2fISihLUAyVoYE4qq/yZ7t3ZAqfX2dhVYxitsSx4ThKlZeykPSPzULBJqyphMN+bNvBcSStbTVcva6H5uoIE/Ek9fVRelprUZTLN1F427NHeO7xQwTDXpyS5MlH9uH1G6zZdPmEl4uLyzuDC6rJ+aM/+iN+53d+B7//1K6VQqHAn//5n/OVr3zloizO5e2NR9XQFQ3Tseisqmbv6ARSSKQjkDpYPpBCoKkO/lAJmQLVW6ndEUiQoCoOjirwpBXMwwFklU161A8+FeGTKBrUhEI008x0WuFPn3+WxrAf21NGqvP01AgMFQ6mj3BH401UGdGT65udyzI5laSpMYbXqxOJ+BkemWVyKsmyJc380f/9/jNe14IVLRzdP0qxaFa6joSCL+ilY0ED6WQej09nfGiW9HyWQNBLdX2Elq5aXnjqMMcOTxIL+8ibFpbUsPMmr+TEXlUAJI/HsaWAfBkt6kcxNKyCSblkgSooJQvMlguM20XUnAWlEjVlnZ5FjSSSOSzboSsSZmoqhRDQ0VbNmtVtPP/kYbY/10epbFJTGyZwzzqaz+LY/mYwcGQKr1enpq4iQkcH4wwfm3FFjss7HymOG869gf1dXpMLEjlf/epX+dSnPnWayMnn83z1q191RY4LAD7Vw1W1y3lscifhsEAJ2ZTyGnlVw4nIyt93QdKyepz5VDVEy2hGpZ5GV0yiho2TC2EqIBRQCgq5iRBKRkMzBLLgoFmCqVGNcTFFplDC9MDwOBgGGFugzlfLmvowI4VxjqT72Fyz4eT6dF1F01RKZROvV6dsWiiKwNDP/mfhOA4rNy9gqHeSowfGMMsWnvoIVc0xjh4cIzmfo5ApYpYsFOkQrQryvk9cQ//RaZ7behCPz8Dj0Uin8igKZIomjlfB1kHNm6j5EihaxdzTdEBAuVDGCWtkPDaqffy+JhyceAm8CmlhoZugGTBfLFIvbOobI4QCXj5y2zomJ5OoikJXVx0zEwme23oIr9+gpjbM5Ng8P/vxLj7yG9efNgDwzcLrMyiXrJNzhSzLxuO2j7u4uFwELuiuJqU8Y1fF3r17qaqqOsMeLu9WNlQtJGYE6UtN0TfmcCiZAV1UYhdC0l4/TayuRG/eQHjAsjRCvjw+26YrEGfaURhWvNi6RM8KlDkNaSjoEqysiloUZPJlLBwcLyg2qA5YRSg9IxkO51nXEEVFpeSUTllbTXWIVStaeWn7APPzOSSSpYubaW87c1TDcRye+vEutj91GAksXNHKFTcv45q71vCtv9/Kvm0D2KZNqWhS8caUJOJpvv03j9G+ooVg2EdNXZiGpiiqqtDWU8dL+wfwmV4SkylkvIhSsnEUB8W0EI6DvyZEtmhSzpRwwkEENoWq471ZbYLArhLBYgkr7EOUJTnFYufBQWojEVYtbkbzaKxd03HyGnrnsphlm+a2iqN3TX2E+dksyfkcNXXhy2KEuW5zDxOj8wz2TYOE6rowq84ylNDFxcXlfDgvkROLxRBCIIRg4cKFp9wQbdsmm83yqU996qIv0uXtixCCBaFmNMdPd3iCpSstDib6SZTTWI6grtYkWe4iGPRi6AVsG0JpmxpZJBYukwkWEAUHqVdm1YDA9FRcwjW/gtdUKQgLISvD9jxJUE2wPKBZcPBQgfVtc2g+hXrvqd1DiiK4+cblNNRHSSRzBAMeVi5vxTDO/GcxPhBnx9O9hCJ+wh0B5qZSHNg2wNqrFyEdSVNrNaNHpyrzb1QVTVGwSib9h8ao6axBe1WkRFEV6qpD9PiC1PfEkEskvfvH6N0zQtm0KzVJAY28ruCUBeJ45srWJN6pMlIo5P0qxTofoWNJpG6g2hKlYFLCIdbVxOx8lm/+5GV+494thIKVeTaBoBdFfWW68PREkkQix7f/5Rmqa0PccOsKWs4i8gDyuRL7dw6RzxapqgmxfG076hs00exe3Mi9H7uS4f5pEIKexY00NMfe0DFdXN4OuMMALz3nJXL+6q/+Ciklv/Irv8JXv/rVU2wdDMOgo6ODzZs3X/RFurz9qfUFqPcHGc+mWV61kIPzYyRKeeKZIJIwbUEPDYEEw4kE1aaNT5RBlZiOhpAOtiYwI2ADwgYQOAEbj8eglKxUtahJMDIgFUAIHAVKZZude4t84tq1LAr1nLYuTVVYs6rtnK4hny1SKpRpPC4CwrEA0+Pz5DMlwhE/U6PzKKpysi20XLYQtqSYK3Pg2SO0LGysWEWYFaftFevamRqYYWwwztx8lvGhOWxA+gykBMeykZkS0u9BGgKlJHEMDWOujKU7hA/YlAMqUgc1U0JVNSjaGAk4MjhNRKqMjs+jOwofvnsDNVVBFi5pYsXadg7sHqFUMpmeTBGM+lA0laHBOA/8cCcf/sRVJ20lXk2paPKT/3yJowcr5p6KIpiZTHLTe9e84QhQa0cNrR3ucFEXF5eLy3mJnBNWDp2dnWzZsgVdd/PmLudG0DD40JJVfP/IfuYLedbXLqI9GuXF+BATuRRNgRCmo9AYyFGjJXGcMonpINPjMTw5gccWpNslQgoUszJIT7UVykgUIXBMBz1HZdigXol6OCqoQYGUAdRMDYo4tSVZSkkmU8S2bMIR/+u2LMdqw4SifqbG5giEfMSnktTWR4nUBNly41LmZtLUNsXI90/hWBbYDo6UoCjEJ5KU03nu/a1bCUb8rFrfSXNbNbd9cBP/+fUnmOvNUC5bWIpAUpkWKBUBTkW0OT4DBYGUClIoGGkTaYOSM8F0UM0yQnMqaTLLwbRtcjkbo2jz4rY+8qkCv/2bt2AYGnfes55lq9oYHpzlyccP0N5Vh2FoRKI+RoZmmZ5KnVHkDPVP0394kub2agyPTiqRY9/OIdZuWUB1begi/ra4uLi4XBwuqCbn2muvPfnvYrFIuVw+5flw+MKcoV3e2XRHq/ji+ivJlEsEdQOvpvML5goeGz3KaDZBtTdAo7qCf/zvn5AqmszHw9g5BSMjUWyJYgpQgbJEKwpCAZ2O6iraGqMcPDzGZD6LpcrKXBtFYtaBvx5yahbTtk9Zi205PPXEIfbuHsa2Hdraa7j9rlVn/HA/QV1zjOvfv57//PoTHDw4jubRqV7UiCMErV21fPDXrmXzjUt46Lsv8cJjB7GlrJhwAkiFTKaEatnccc/6k8ds66nnxns3sP/wJMVEvpKmOhGCPmEtoatITVQ60fIWAgVMB4FANU2k46CaDlI1cTxepK4gyxK7bFNKlkgmCuwuOTzzdC833bwcVVPpXtSIP+hl+8vHKJdMDKPisaWplWLsXLaEpimnFABbpo2U8mTazfBo5LMlLPPU19bFxeUccYcBXnIuSOTk83l+93d/l+9///vMzc2d9rxtuzc9lzPjUTU8vld+7UK6h3u6VgCQKZT4mweeY3Q4RrFkgyqRhsD2OijZSpQCW+KdkEgfkDOp3xCirT7K5+68kr6xGf7ymacYSqewYxCOqYQMia5AW82pNR4H9o3ywrNHCIf9eD06hw6M4fXq3H3vel4Tv4HRWsWCzloCYS/TyTxbtx7knvevp7ouXHnUhhk4PMnE0CyKczzSdNyrKn18wOCrsW1Jcj73iuHlcQNPbAehCpCgmBLFslFKDkrZRiBQBMiShZSV4YEgkD4V6dHRsxaiaIMlscezpBz41/94jqn5DN3ttaxd005dQ4RlK1vZvX2A2ZkMAAsXN7Lz5WOMDs6iagrrr+jmiqsXoSiChpYYkaoAowMzhKJ+UvM5uhY1EKsJXuBvg4uLi8ul5YJEzpe+9CWefPJJvva1r/HRj36Uv//7v2d8fJx//Md/5E//9E8v9hpd3uFIKZFSMj2f5sU9A1hlG8XheKpGYmtASGB7wTMnEAaQcyrt57EQRyZnOTg2za2rFhJoFnyr73lmUwWKRQt0i+ubFrOo8dR6j5mZNNKRxKoCQGUw4OjIHI4jX3MwXjyeQWgKzZ2V49nA6Ng8tu2cTHc1tVWz6brF/ORbz+PYznGB42B4DJq66njx8YOUiib1LTEWr2ojk8giiyaKaSGFOF5TVNE6QlVRSjZSrxT3ipKFYjkIKcEBISXCdoCKK7hjKFheFa1oI4omig0CBTGZZlZVeODZA7TsCDA6Ose992zg1rtW09xaRSqZJxT2MTo0y57tg1TXhCibFk/+7CCRqJ/6hihbH9xDNl0gMZdDVVWWrGrlxrtWn7VQ+2Lw6k5OKSXT4wmKRZPq2jChyBs3B3VxcXlnc0F3pwceeIBvfetbXHfddXziE5/g6quvpqenh/b2dv7jP/6DD3/4wxd7nS7vQEq2xW/+7Ftsnx4lXzKwiypazqEmDrZXYPu0igO4kGTrK23TjhekKSopqSykZvJoHoVUvgjAuuouMmaB7XPHsByHZdEWbm9efVphrN9vYDsS07TRNIVstkhbR83rTv71+QycV+2Xy5Voaak6ZT9NV/n4/7iVzHyW5x7Zj23beHSdq+9YzdjQLONPHj65njVbejhyYByVimDihGhRKgLGCOg4ZQfHtCuCxZLgVB4nLklKEIoATUEVKrYQCFui5s3Kdkhk2cFyHKbjaRw7z+ixODse2E1V2Mf6W5az+sqFRCN+Xnz6CJGon0iskrYbPDbD2PAcO5/vY6h/hmhVACkhFPVx412rqaq5NLU4qWSeJ588xPjYPNFogKuuXkT//lF2v1RJr1XVhLj9FzbS3v3aflsuLm9p3HTVJeeCRM78/DxdXV1Apf5mfn4egKuuuopPf/rTF291Lu9YbGnxxy99nrUNB9nUbDOZC/PjQ2tJdAZJRSwChxRExgK/ilAlZhUgHWxDYOmVMQbokky2ALpBY6zyYasKhRsbV3BV3WIcKfGq+hk7f1aubqO/b4rhwVmklERjAa657rV9rgBWrWylr2+KwaE4IIhGfVx7zeLTzuH1G/z2n32ID3zqesaPzVLbHCMxm+Gn399G+4IGRvqn2f9SPzuf6UXTFOobY0xNpjDLJlKCYktqW6owJVh2EbXkYNtO5eAnzmXZYOjgOEifjvToqKaDMZXBDnlRixai7JxMg5UdC5lzSE0XsT0G6aN51GyR53+2n4U3LuWm96/H69VJJfNUSYnjSBy7IugmxxI0tsTw+gwisQAjA3GmxhOXRORYls2DD+7mSO8kkbCPvtkpBvqnsVN5amorKcHJkTke//EuPva5my7bEEMXl4uBO7P40nJBd4euri4GBwdpa2tj8eLFfP/732fjxo088MADp7SVu7icjb7k/bRH91TapISg3Zjnw6te4h+3XUcp5KAuFOhDCoopcQIS2w9SrXRN6VmBrVPxtop52LionU09racc36O+dudfKOzjvg9dwUD/NJbl0NxSRV396xfMB4NePvALG+k/NoNl2TQ3x6ivq/zOSynJZ4uoqoLX70EIQVt3A23dDQC89MQhEILEbJq9L/ZRyJVBQKlQxrLmWHfNEmank8xPp4lVB9A8OtlsiVKxjJRQdhzME0IHCapamX6sCKTfU0ld5UvoJRMtb3HCHkIcd/c2EiWsaj9OyUbIMiCwlUpdz/juEV5uqWLdijbSqTxDA3GQ0NZRzbKVLRzZO0KpaOL1GZjlymToSyUu5udzjI7M0dgQwR/wUFUdZPfOQQzLoTtWSS/GakOkkjny2RKRmCtyXFxczswF3R0+8YlPsHfvXq699lq+/OUv8573vIe/+7u/wzRN/s//+T8Xe40u70Amci+ACl5spBSYQlAbzNJRNU2fXUtjLMPMfAQ1A1YUQCAcidDAwUEtObQvquUzd11Jayx6QQaTgYCHFec4I+fV+P0eVq44VVQVskW2/tfLHNs3glAFq69exJV3rTulLb25vYZgyMuxQxMUcmWEpuD16tiWRSlfZmp0lub2WtZuWUB6PsvsdJpUMo9ZMPEFvZimjbCptJgryvE2cwUMDRQFUbYQ5YqgEU6lgNnRQLEFDqDlbZygAz4DJZlHAsKuRHqyyRymaeEPe1m3sYsDe4YxPDrX3LCUjp56Vq7vZNuzR0nMZUHCohUttHfXnvdrdy6oqoKiCEyr0sBg2w66rqFKi0y6QCDoITGXpaY+jC/guSRrcHFxeWdwQSLnC1/4wsl/33TTTfT29rJz505qamr49re/fdEW5/IORpZRkNgoSESlkFYI1tVOMpTzEsJiJiAJ+/JsvinNnpkIyYJC2dbxCA8N9SE8i/xsj4+jFiUPPrSH+GyG1tZqfuHeDQT8b+6H3/MP7WbXU4eI1YWxLZtnf7yLcCzE6msWn9ymtbuO2z64kf/428dAgKoIvD6dchFs3aF7WTPX3b4K27J57P5d9CxpIpnIk00XyaYK2AKkIysRGyGQjoNQQGoqJ7qyhAAHAbqKKFpIQ0OqlSGCaAriRHDcAZAnfUDLjmTy8BRT3Y2MHpnCLFvYtsOjD+wmFPVxwx0raWiOMR/PEAh7Wb6mHcNzaeZkVVUFWL6ilW0vHyORyGNbNitWtVLl93B4zwjzM2li1UFues+aS1r07OJyyXFrci45F+UO0d7eTnt7O3v37uVf/uVf+Kd/+qeLcViXdzBtgY2M5veAdBACLFSC2GysG2YkF2Q+EUFKQevtQ3j8eWqqHexMNbFIifb6bqqrYhQMm4cO9vL/vvAsqXQePSvxv9jH7n0j/Mkf3YffZ5zXmhwpmclksRyHulAQQz13u4LBQ+MEwj6ix2tUcqkC4wPTp4gcgCWr2/nFT1/Pkd1D5FMFkiUTVVepaa3mPR/ewuLlLex+sR8AoSp4vFqlw+j4A+eETKnUJQlVwRbHW7FUie0zQFehbCEwEQKkx8AOaCiqXilEzld+LhyQqoqDxAl4mDsywfyaDlRF0Nxdh5SSgb5pjh6awOv3cHRslonJJFXRAA0dNbSc5+t7rgghuPmWFdTVhYnH0wSDXlavaScQ8LBmUzeloklNXZhotdu67uLi8tq4X4NcLgud0V9gIvF1xi2BJRWqhE09RXzBOa4KVfFCycB/0wDSULEdQTav4DVMAn6bpqCBT/joGx9nZHSecqGI0BXMOgVTc+jrm+KJpw9z122rznk9Jcvih7sPsmdsEkdKumuq+OD6lcT859amHAj7mBmdq7TDOxLLtPCHvKdtF59M8uSPd7NgWTPD/TMUskVC1SE+/tu3sWhZMwDt3XXUNkYYOTZDIOgFWyKUSscUx0fonMARoAhwhABVqQxL1NVKUbKUSF1DsSXSqyGlUunOssqgauBYSEUgI35EycQqmsyMJ4gdn158wqeuVDL5ycO7Odo3TTjs40h8ikQqz0c+uJlo9OzDE98Iuq6yfkPXaT9v7bw0KTIXF5d3Jq7IcbksqIqflXVfpnH+t0EIFGmTlyazVph1rUnyUYP9+Wq8ThlHKmSKfhRDMJ3WeXl6HL9exLRtQiWdVLmApinYEky/wEg6PPzTvTz60F6CQS/33LOeDWf4wHw1Lw6M8MLACPXhIJqqsH9imsjBo/zihnMTSlfctor4+DzDhyeQSBo761i5ZdFp240NzJCYSbNkTQeLV3cwP5umXDBZtbbjZIdWVV2Yuz96Jduf7iWTKhCpCvL8E4fIpwvgOJWojQIoAqFUHN2FgQGhlwAAvPxJREFUlEi7MiRQKg6YNnbIA7qOtE1E0UIpl3H8BlJVoWCBdJCGhsiXULJF8BgkJpOAYGY8QXwqhWFoOLZkdGyepsYoPp9BdVWQ4ZFZhkbi9OgNBPzGZXEvd3F52+Omqy45rshxuWxEQ3dzcHySkv11NNVkOtnGdGYFNyw4ipQaYVEEAQPJOuKFADGliEqAgBlDc1QWRKsYDs6TUTOYpo2tVewObMehv28a1al0PB3tm+R3v3QnmzadbtB5gql0FlVRiPgq0Zeoz8tIInnO19K1rIUP/NZtjPZNoagKPStaidae3q2lqgoIgW07aJqKKhQMr46qneqb1dhaxXs/sgWArQ/s5tlH9iKcytBEbBtUBaPKj2lV7nLSlqiORDo2tuFBhryVYmTLRmoKhm0j8+WKIAKEUxFBUldRJ5MomoIW8jI/kyZVKBKfTCMtB+E4fOtPfkLn9YsJBr34AMu2mE/l+MFPdxMM+ehoqeaO65cTDp4euXqnMz+VYM+TB8inCzR21bPqumWnuM27uLhcXs7rr/Gee+55zeeTyeQbWYvLu4xErsBjh7oxy5+lMTBCuqgwXxA4HR0cmwtxYH6CvA3ZsoEiwLYNuiMh1tQ3Mzibxa8bdDZVk82VGB9PIExJyNKQqonuQDDixbEdMtkS99+/k40bu88acYj5vZi2TdmyURVBpliiq6bqvK6nsaOWxo7XTqd0L22mrbuO4b4pVFUFAZtvXk7wNTyz+vePIssW0ZiPUsmiVCghHUlLU4zhwVl0Q8OWNpYEpCRU5SeXM7EtG6kqSOGglSt5LWna6H6dSHc9yUyRkm1hNkawfBpawaI0Ooft07BrQ+i5MjgKc5ki4YPjKH6D+fkcyVSebLFMvcfA0FX2Hh5DVRV+4Y615/V6vd1Jz2X44V89zOiRcTRDY9fj+0nG09zwi1e5kS0Xl7cI5yVyXm8GTiQS4WMf+9gbWpDLu4dcqUzBtKgN94ASJqSmmM4LSuqV/NrKMH+16wX6UzNYagFDL9ISytFWk6YgCwilh1jAz61rezjQ0UKuUCIkNDxFwT/87WOUTRtFVEwtpZQMjc7yg0d2csvVS4mEThcUV3S20R+f58h0HAk0x8LcsvTskZ8LJRD28b5PXsu+l/rJZ4rUtVSxclM3pZLFoUPj5AtlqquDLFrYeLItPhT24SiQzpUBWelGU8AT8IKuUrRtHNOC4+mq+USGmqZqrLJFOV9GV3RKE0ko2SiKTckPxwIFNCRaWmAUbYRpUWwNIwomat7CKps4qoJiWqCpmEWLu25bxexchsHxeYan5mlqqNwPLNtheGwO07TR9XMv1n67c2zvEGN9E3Qsa0XVVOankux7+iBX3LmWQCRwuZfn8jZAyMrjjezv8tqcl8j5t3/7t0u1Dpd3IbGAj6qgj4lElqZYA4lchGAAaiONtFVH+dOrb6UvNcruxM/w4mV4zqFUMDH1UVRPNWtb19JZW0Vn7SsRl3y+xE/u38nRo9OkMwVKZRvbcRjLZ/jb7z3LQ4/v489+/z7qfi6VFPF5+cTmdRyLz2FLSXtV9JyLjs+XSFWQq+9YffK/SyWT+3+8gyO9kwComsq11yxm44ZOXnyxn2PxNFbYh50vV4w4VRVsmwNHJpHFMuK4EJGGgmJL1LLD/MQcTa015GyHXLGEajuVuTqqgpoo4+tPkVhXTRALR3rxjGZQhpKUq314c2mUoo3UNaQjQRX4Ql4aW2Icm0kwmc4ST+dpK5XxGjr5QpmaquApM4HeDdhWZTCjcvy6NV2lVLBfmUzt4uJy2XGTxy6XjYDH4N71y/nhjoPMZnL4DJ1bVy6krToKQFMwjNeoZtaRBLUqwp4Q46k0llJizaJO1rc1n3ZMv9/Dl3/vvfzFXzzM0WNTWMLECgrMBg9Sg2PxJP/6nef48v+44/R9DZ0VzQ2X7Hpz2SIvP9dHfDpNdU2QjVcuIBz1c+zYDEePTtPYFMPj0Ziby7Jt+zHi02n27R1hcmweI+SnIAUyXwJVID16ZRCgplXawgtl8Og4gFQEaiKPp0USbK9meDCOaug4Hgmmg3AknrkyRtrCCigEJ8FsCKLP5FFLDjgVx3dRqExFVhSFxZt7+K9HdxOfy6KpgnzJZNv+EZprI4QCXq7btPCCBjK+nWlb3ERVQ5ThQ2P4Qz6yyRyrrl9GMOpGcVxc3iq4IsflstJTX8NnbtpMKl/EMAQZmaI/M0KDt4ag7iekVREzGpgpDhHyR2n3OIS0BVxVtxLlLHUPTc1R/vdf/CJf+dZPefSFQ6gIvLpGSXEwPTbT06lTtpdSYpZtdEO9ZLUU5bLFgz/YweEDY/h8Br37R5maSHLfR7dQNi0cR2IYlVSPz6czP5+j98gksViARDxNNOqjUDJxHIkw7UrfuO2AquBoGopiVSI6qlaZDO3ARN80UUPHo1Q6zxxbvqobQ+CdtymHFRRZ+bkdMFAsEI5ESeYQIT+iWKamrQrFbzAzl6GrtQZFCPw+D9Nzaa7fvJBFXfW0N1dfktftrUxdWy13f+Y2nv/xdrLzWZZfvZir770CRXl3RbRc3gBud9UlxxU5LpedgMdAqA4PTT7LQHYURzo0eGu4o+lq6r3VbKi6jX3Jp0mUp6n1tLI8eg1BLfqaxxRCUFcfRvXr2LnK9F5LSnQpaKqN4DgOQghm4xke++l+4jNpwhEfN9y0jPZLMItlZjLFQN80za1VeH0G5bLF0MAME6PzNNRHCIe8jI3NEw77mJvL0dZaTSqRxZGSWFWQZCJXaR+XlVk5ElmxcACkR0Xmjw8JVASK5YAtURwHUTTxlByyQuG4UyfYNlbUg2KDJ2GDI1FQcEI6WsasCD0HQAEpKGSKtHXXMnIgX+nuEgJNU6irDrFpTSeR4KVJ670daF/aSvvS1tff0MXF5bLgihyXtwT7U30czQzR5K1FU1RG89M8F9/Nva03EdKruLL2/djSRkE552jLlYs72N47ypGBKQq2g2JDRyDI1HyaD/7mP+FRNZq8PnyGQVVVkLGReR740S4+/PEriVVd3Gm68rh/wom1CyFAVn7u9+iEHMmRHcMIVbBiywLuvnst+/aM8NxzRyhYFpaioOgqTq4EloMC4EgkEhQNYduVmTeaAvkSqnRYtKKFeNGhpiVGfV2Iwd5JykUTaRiotoo6W0YWS6DrIAQyrOEI86QYEpWjk5vLErChqT5C39BMZd3AdRsXEA68sbbxUtFkPp7B8GhU1YbcriQXF5eLiityXN4SpMwsqlDwqBWrgJDmZ66crFgaHP/gU8Xrd+5k8yWKJZNIyMea9iZ+555reWpPPxMTCbqrouzYPcyOkSmEAo4jGZ1NclVrM7GqAJGon+GhOJMTqTckcsolixdf7GPg2Aw+n05PVz2RsJeG5hgjg7P4/AaFfInOnnrqGyL86BvPsvPxw5TyRSzbYfDlAcrvX8+11y1mNpnlyWd78df4wSeYLBXRp/MIWyIVAQEPlB2EpoKmglAQtqRjZSsNC5uZ3j1CY3MVLS0xRgbiSFtCZVQP5EqIkonUbIgFUYsOTkDDEQLF0JG2g0QiSyZf/5//xRf/6ZMM9c+QTOeJ+L2EtDd2+4hPpXj4e9uYHp9H01RWberiurtWv+sKmF3exbjpqkuOK3Jc3hJUGWEc6ZCzCmhCJW3lWB5oPOWbvWmnyZnHAElA70JXoyefk1Ly4p5Bnt15jLJpUV8d4r03rGRlWyMr2xrJF8o8s72f707uRhMQ9nkxLZt5q8DAzDyLljRjli1UVTlZG3OhPPXUIZ5/vg8hJft2DJJNFVALFtVVAbbcvoJwJEBVTZAt1y6mmC/z8hOHmJucQ1VVhAKj/dNs/dFOPvr5W5nNFWjsrKapLsKu544wH/HhFC3EXB7hgDA02jpqKZYsksk8iiJQ6kKUAj5SuRJ1tWGskknZtChmiiiAtCspKiy7Mim5ZKKZFtIR2H4VfB4cTUVKG7vGj5Ypk5zL8szP9hNUdBYubiOTLfL88/00N1bRUBvC6zPQz8MsU0rJ4z/axUj/NI1tVZQKJi8/3Ut9c4zl6zvf0Ov/85QKZcxyxWbDrZdxeSshjj/eyP4ur40rclzeEqyILGCqMMuRzDCOdOjwN3F17SvD5UpWnJH0v5M3hwHwaS20RT6CV2sE4NjILD97oRddUwkHvAyMzvHAk/v5xD2byRfK/NeDO9l7eByrWPF0sgwHRREIRcG0HAYHZgBYuryZto6aC76Ocsni0MFxQkEvu549QnouV+mGAuLTaZ78wXb+/D8+TUd3HQDTY/PMjiewLQev34NlWpQLZcYHZrBth2LJxOc1KJcszKJFrCZEc0cd2WOzzE0lCUUDZKdS5E2bhu56ehY1MD2eYGY6zYLOWjZ9ZCFPPrSXmfEkihA4xTLiZG3P8VukBE1RCIR9WF6FPFmUQhlUFWE6OJqCIgWD+0ZZes1iPB4dj0fncO8E//3NZ/E64A94uObOVSxe1XbOr9PsVIpYbRCvz8DrM0jMZUnMZS/4tf95pJTseuowL/1sP2bZormrjls+tJmIa+zp8lbBjeRcclyR4/KWwKMa3N50NeuLy7ClQ40nejJ1BTBbeIacOUBA70EgyJr9xHNP0hr5JQDiiSzlskVLfRSA+poQM/NZcvkSew6O0j8UZ1FXHSPT88zO50imCwiPQtDQufu6VbQ11RAIeVm+shXjPCISP49QKqaWhXyJufgrH9ji+NSudLbEzmePnBQ5QoDXr1PIlSiXK11WQkDZdnj6icMoJYfpdBZiAcqAbdpEvB5SJYtI2M/SNW1YjmT3ywPUVQfY+9wRZiZTSFXhu3/5CE9990X+x19+hGP9U4yMzjKwY7Aya0eIitCREqkq6JqKUrbQZnOIsllpTzctlFQevAaWT2Pi0Dj1y5rx+w0ymQIzY/M4uk5Xew2J2SyP/td2YjUh6ptjr/s66YZKMOJjcmSOSCxAuWQBEDiDqemFcmz/KFt/sA1NV/H6DQ7vGEBRBff8xo1u7Y+Ly7sEV+S4vGVQhUKD78xRFNNOoAofiqj8ymrCT9mZP/m8z1spni2WTDyGRjpbJOj34PFopDNFNFXB69G5bsMCnt7eT75YoqEhwgduWsOdN618zXWNDMYZG5lD11QWLG0iGjv7HBRdV1m9poOfPrwHRwGEqLR0W68MiMsl86+sO+hl8ep2Du8aqnzQK+BoKsmiyXNP91amCBsKdhTaF9RjjacoTiYpF8s0ddRSUx/FtG0iUT8DR6aIxzOgKoiyBWWL6eFZ/p/f+BcW37WGcGcN+lQSczyJUrYqxdBSogd9+KWkOuglkcrh0VWKkko7umnh6BoyFiQ3k+a5bz1P59p2qnvqCKgqPV11BEJeghEfw33TzEwkzknkKIrC9Xet4uHvbmO4fwZFESxe3cbSNe2vu++5Mj02T7lo0nS8W05KyfixGUqFMl6/56Kdx8XF5a3LZU1Qf+1rX2PlypWEw2HC4TCbN2/mkUceOWWbF198kRtuuIFAIEA4HOaaa66hUChcphW7XC58Wiu2LGLaKUwnjeXk8WmvpEaWdDWwrKeByXiagbE5VFXhxs2L8Bo6dTUhHClJpQsoQrC4o55fvmcz//LHH31dgXN4/xj/9e8v8PhDe3n4R7v4wb+/8LoplauuWsj77llPwNCg7KAUTLCBin0Ua69acHLb+EQS3Wvg8XsIxQLUt1dT3VlD55JmOrvqaO+owYPCe65Zxld+57184fffy92fup4VNy9DD3mZmUgwPhBn7eYeQl4ViiYUyijZ4vGR74LsXI729mq8PgN/Q4Tg4gaCdSG8fgM94MGREqXaT0N3DaGwF0wbpWSiFMxKgXPAA6qKo6uAYOjFfvJDs0S8OoV8Cah0SSmKwPDo5/yedixo4EOfuo57P3E1H/i1a3nvhzfj9Rmvv+M54vHqOFJimZUoUT5TxHOetUMuLpcUeREe58Gf/MmfsGHDBkKhEHV1dbzvfe/jyJEjp2xTLBb5zGc+Q3V1NcFgkHvvvZfp6elTthkZGeHOO+/E7/dTV1fHl770JSzLOmWbp556irVr1+LxeOjp6eEb3/jGaev5+7//ezo6OvB6vWzatIlt27ad91pej8sqclpaWvjTP/1Tdu7cyY4dO7jhhhu4++67OXjwIFAROLfddhu33HIL27ZtY/v27Xz2s591iwffhdT4r6HKuwnLyWLZaWK+ddQFbjz5vMfQuO+WNXzojnXcc/MqPn73JlYvbgFg7fI2rljTSbFsksoUWbKggTuuX472Ol08UkpeeLqXcsmio7uO9q5axkbmOLRv9DX3UzWFTVf08Ad/+gGCmlK5ESmgKHDTnStZtq5SWDs2GOf+f3uGgQOjFDIF8pkiDa3VNC1txus3cKREOhLHdlCEgq6rjDlFHs1MMrnMx9zKIFpzkPXXLua+T17L6jUdqJkCaq5Yqbs5eSEOIyNzDA/PoukqUlOxqwIE2qqo7qrBowqsbJGpgomFwDk+ZwfHAQRqrowoWyhCOemVM7J3lJzlMDmVZqhviqnReQJ1IbYfGeOHD+1iYDh+Tu9rVW2YJavb6Fna/IbShGdiyfouOpc0MdY/w9DhcRRVYcvtq1C1t7e/Vi6V59DL/Rx8qY/0/MWrYXJ55/P000/zmc98hpdeeonHHnsM0zS55ZZbyOVyJ7f5whe+wAMPPMB//dd/8fTTTzMxMXGKObdt29x5552Uy2VeeOEFvvnNb/KNb3yDr3zlKye3GRwc5M477+T6669nz549fP7zn+dXf/VXefTRR09u873vfY8vfvGL/MEf/AG7du1i1apV3HrrrczMzJzzWs4FIaV8S5UuVVVV8ed//ud88pOf5IorruDmm2/mf/2v/3XBx0un00QiEVKpFOFw+PV3cHnLIqVNyZ4FwKPWIM6hpfyVfSVziRy241AdDaCdwwedbTt8/f/8FLNsU10bAmCwf5orr1/Cjbe/dgToBCMDM/zs/p1kkjnWbe7h6ttXnawHefLHu/jX/+dHpGbSOE6lENgfC7Dp7nXMpouk4mkyqQIBv8Ev//r1tK1r4R+efpmSZVEd8DOVztAQDvLZ67YQ9Bik57N89Io/pFwwKycXgBB4ggaRjT1IKVE1BdW0mB5PQipPkMo0ZjwaWn0UdSaJLFokEvlKXY4QoClIQ69YQtg22DahsJdV71lLOOJn0/pOBsfmODQ+h6arWJZNOOTjg3dvoK3l/JzcLza5dIGje4Ypl0wa2mpoX9R4WdfzRknMpPjR1x5jvH8aKSX17bXc/Rs3Ut924cXyLqfyZnxmnDjHn//wMXyBC7cBKeRyfOmemy94rfF4nLq6Op5++mmuueYaUqkUtbW1fOc73+G+++4DoLe3lyVLlvDiiy9yxRVX8Mgjj3DXXXcxMTFBfX09AF//+tf5vd/7PeLxOIZh8Hu/93s89NBDHDhw4OS5PvShD5FMJvnpT38KwKZNm9iwYQN/93d/B4DjOLS2tvK5z32OL3/5y+e0lnPhLRMSsW2b7373u+RyOTZv3szMzAwvv/wydXV1bNmyhfr6eq699lqee+651zxOqVQinU6f8nB5ZyCEilerx6vVv6bAkVJyYGSKh3Yd5vH9fcymcwghqKkKUl8TPk3gSCmZnEwyOBgnnX4lFaqqCp099aSSOZLzOWamUui6RuM51JycoK2rjl/97dv5wv+6j2vuWH1KwetY/xSpmTS2BM2jIYB8IgfZIjJXIjufIxry0hDy8OJDuzl0cIR0oUhrLELAY9AcjTCbzTOXq9T4hKuC/P2jv0u4OgCqACGob4rxsa/ci6YplevpqCVgaJglC2lLykUTp2RheHVURaDrOrrPwAh4EapyvEdVoJg2wrYR0kYIqGupQSgqdY1RNl2/hDnLxOszaG2uoqOthkQqz9GB8wsrXwoCYR9rrlnMpptXvO0FDsCOx/YzcmSSloUNtC1uYmoozkuP7Lncy3K5QE64kL+RB3DaZ16pVDqn86dSFYubqqrKl5GdO3dimiY33XTTyW0WL15MW1sbL774IlDJsKxYseKkwAG49dZbSafTp2RhXn2ME9ucOEa5XGbnzp2nbKMoCjfddNPJbc5lLefCZU9O79+/n82bN1MsFgkGg9x///0sXbqUl156CYA//MM/5H//7//N6tWr+da3vsWNN97IgQMHWLBgwRmP9yd/8id89atffTMvweUtxot9I/xk+yEKpoWUDnuGJvnla9dREz79G5PjSLY+eYgdOwcply2qqoLcdfsqOo8Xq15783Is02awfxqPT+eqG5aweHnLRVlnrKbSynxi+jGKQEhJZj5L2NCoWVRPdW0YTVcZPjJJYTaPrqlkSmXCXg/pYhGvrhEwXqmDaems41sv/iGj/VNIKWntbsAb8FDVGOGppw6DgEzRIhzwYCApZhwURaFcsmiP+qlrqWL/y8dQkagCbJvjd1JZieJoKp6gTvWSJnSPxsrVxwuFX9WRDhVt9BYLEr8jSCdyeHzGyZSbP+QlFXe/yL3baW091VrkD/7gD/jDP/zD19zHcRw+//nPc+WVV7J8+XIApqamMAyDaDR6yrb19fVMTU2d3ObVAufE8yeee61t0uk0hUKBRCKBbdtn3Ka3t/ec13IuXHaRs2jRIvbs2UMqleIHP/gBH//4x3n66adxjtcU/MZv/Aaf+MQnAFizZg1bt27lX//1X/mTP/mTMx7v93//9/niF7948r/T6fRpvwAu71xsx+HZQ4OoimBRYw2249A/Pcf+0SmuX9Z92vZ9/VO89PIxwiEvtTUhxicSPPr4AX7l41djGBqBoIf3/MIGSkUTVVPR9YtXz9GxuIlwVYDUfA5ZGUSM6tGQQmGgfwbbcqiuC9PWVYNQBJ0N1RRVHy8MjjCdzuDRNG5fupDqgP+U43p8Bj0rTp1Xc/WVCwkGPAwPz2KULFKKoGfBQob7pxk8PAECVi1vQVVVPH6DbU8cxsqV0bwKtuXgSFANlYXrO9l8x2pS8zkK6QI7njhEcirJ8kVNPPnCUcYmEyfTVQs66y7aa+VSob69hoMv9pFJ5FAUQS5ToLGr/vV3dHlHMzo6ekq6yuN5/e7Bz3zmMxw4cOB1syNvdy67yDEMg56eHgDWrVvH9u3b+eu//mu+/OUvA7B06dJTtl+yZAkjIyNnPZ7H4zmnN9jlnYnjSMq2jXHcckBVFAQC07LPuH0qVcCybCKRilCorgqSShfI5UonC2GFEBe16+cES9Z3cesvbuGBbzxDMV9GM3TalzQihaCxvYapkVkmR+fJzOe44X1rWLCilcUejcWNtWSLZaqDfhbUVp/TzBdVVVi/rpP16zqZWt/Jf/71z3j8v7eRTuSRx2fz7Hqql/U3LEVVFGK1IYRRIBD0ons08rkyOJJ7PrKF9oWN/ODfniWfKVL0aIwNxrnihqXcfuNyjh6bxjA01q5so8OtE7norL9xOYmpJEd2DYGULN+8kC13rrncy3K5UC7SMMATHcrnymc/+1kefPBBnnnmGVpaXolMNzQ0UC6XSSaTp0RQpqenaWhoOLnNz3dBneh4evU2P98FNT09TTgcxufzoaoqqqqecZtXH+P11nIuXHaR8/M4jkOpVKKjo4OmpqbT2tuOHj3K7bfffplW5/JWR9dUljTX8mzvEFJKiqZFwKPTXnvmOppQyIuqKqQzBYIBL/OJHDU1IQKBSy+UpSPxRIN0rOmiXDJBCCJVIYR06FrSRG1jlNnJJEJRuOUXN+M5LrRWNJ37H/iZCEYDZHIlMukSUgiEoSEtm/79I6iaSm1LjCXrOzm4axSzVEYgsEybhpYonYsaGTg6TTqRp3NhfcXJfTpN794RPnXHXVyxrgvLtHFn7V0avH4Pd37yerbclUJKiNWF3/bdYi5vHlJKPve5z3H//ffz1FNP0dl5qoXKunXr0HWdrVu3cu+99wJw5MgRRkZG2Lx5MwCbN2/mj//4j5mZmaGurhKtfeyxxwiHwyeDEps3b+bhhx8+5diPPfbYyWMYhsG6devYunUr73vf+4DKZ//WrVv57Gc/e85rORcuq8j5/d//fW6//Xba2trIZDJ85zvf4amnnuLRRx9FCMGXvvQl/uAP/oBVq1axevVqvvnNb9Lb28sPfvCDy7lsl7c4d6xZjCIEvRNxwn4v1y7tZGHjmaMKCxc0sGF9J7t2DzM3n6UqFuCWm5Zf9HbmMzEzmWTo6BQLlrfgC3iwTJuDu4bRFCgVy8RqQ+SyJeoao4SjF96B8fOMHpshPpVCCoHh1RGKgqMpWHmbaHWAuz9xLU2dNfzwX59l13NHyWeL1DfH+KXP3kRTRy2D/TOnHM9xHISiUzZtXnj0AIf2jqKogjWbuth09SLXcPMioygK1Y3nXvzu4nKCz3zmM3znO9/hxz/+MaFQ6GRtSyQSwefzEYlE+OQnP8kXv/hFqqqqCIfDfO5zn2Pz5s0nu5luueUWli5dykc/+lH+7M/+jKmpKf7n//yffOYznzmZRfnUpz7F3/3d3/G7v/u7/Mqv/ApPPPEE3//+93nooYdOruWLX/wiH//4x1m/fj0bN27kr/7qr8jlcifLU85lLefCZRU5MzMzfOxjH2NycpJIJMLKlSt59NFHufnmmwH4/Oc/T7FY5Atf+ALz8/OsWrWKxx57jO7u02srXFxO4PcY3LNpBbbjoAjxmukcVVW49eYVLF/WQqlkUl0VJPYaE40vNlJySsVuKOqnvjHCzHgSx3GIVge5/r1rLqpQkFLi9RoIAWbZxrGPt5zbEt1nUN9axZM/3EEukWH5mlbWXLOElVd04zs+JbhnSRN7Xuxn8OgUul65hWy+YSnbn+vjhScOE4r6KJclTz6yH7/fw+qNXRdt7S4uLhfO1772NQCuu+66U37+b//2b/zyL/8yAH/5l3+Joijce++9lEolbr31Vv7hH/7h5LaqqvLggw/y6U9/ms2bNxMIBPj4xz/OH/3RH53cprOzk4ceeogvfOEL/PVf/zUtLS388z//M7feeuvJbT74wQ8Sj8f5yle+wtTUFKtXr+anP/3pKcXIr7eWc+EtNyfnYuPOyXG5WEgpObR/jL07hrAsm8XLm1m3qfs0AZItlCgUTSJBL4Z+9u8RZtni/m8+T+++UfwBg3yuTHtPHe/72JXEJ5KYZYu6pijV9ZGLeh2ZZJ7vff0JHv3ey2QT2YrIsiywHfAZ1G/swPQoNIX8hAoOjW3VfOhztxB6lfibGJ5j37YBSkWTtp46Vm7s4t+//iTxqRQNx1vsRwbjrFjTzns/tOmU8xeLJn29kxSLJnUNEdo7anAcSSqRQyiCSNTveku5XDbezDk5f/GDx/D538CcnHyO377vwufkvBt4y9XkuLi8VTl6eIKHfrgT07RRVcHo0CxI2HhlZZyBlJLth0d5YvtRiqZFbTTI3dcsp6Uuesbj6YbGHR/cSFVtiOmJBLGaEFdcv4RILEDkEkaTQlE/d3/8Kh7/4Y5KKMl2Kg8hkLZk+vA0VVe2MYHFgvoQ06PzTAzPsuhVa2pqr6apvfqU43p9OuWSebJ13DJtLNvhwJ4RVFWhvasW07T55j8+ycjQLIZXJ1od5NobljAxOs+xo1MIIViyvIWbbl+J4Tm325Np2ux8+RjDg3H8fg/rNnVRVx9h9/NHGDoyhc9vsPrKhbR0ud1eLi7vNlyR4+Lyc6SKRUZSKVQh6K6qwnO8U6v/yBTFQvmkg/jkeIKDe0dPipzhqQQPv3AIAUQCXoanEvz4mQP82t1XnDWiEwz7uOl9a9+U63o1tY1R7LIJzvFArnq8eNVxwLQIKiolBcYyeToEaOfQOr/hygVMjSUY7Kt0TPj8Bsf6pjmwb7RSVB31M3BsipGBOH6vQTTqRxWC//7uy3g9KvUNURxHsv2lfmJVATZfs+i0c5woan51se0zTxzi+acOo+sapZLJyFCctoYI+54/iqapmGWT4aNT3PfrN1DfenknMLu4uLy5uCLHxeVVjKfT/PvuPcdFDiytq+Mjq1cT8nhQFAUpJVJKhBA4jkRRX0mrxBNZCiWT7uZKhKOxOkQ8mSWVLVIbC170tZ5Yx4USqQqQncsiTxzihN6J+MhlixSkREfQs3bBGaMgJyI2J9bQvaiRez92JcPHKq7iB/ePMTmRpK2zllQyx/NP91IsmUgBJSTpTBGBoKxAe3s1obAPgEy6wMRE4pRzlUsmz/10P4d2j1SKmrf0sPG6JVimzYE9I4TCPqprQkgpGeibZrJvkpqI/2Sqb6B3gmOHxl2R4/LW4iK1kLucHVfkuLi8ioePHGEklaS7qgrbcdg7OUVX1Qi3LljA4uXNPL+tj5+9cJhCtoTjSLo0iweeOcCNGxfi9+ooQpAvlvF7DdL5Ih5dw+c9d2fucyE+leKpn+4nPp2itiHCdbetoPYC6nbe9yvX8Pf/vx8gHHnKvdIT1Ak0R/CaDlcuaeO9973Svg5QKpk891QvRw9P4vHqbNzSw7IVLQghaO2oobWj0sm2d/cIgaAHRREkk3ks00ZVBEhJMV/GUhTMkklTZw0z4wlk2cYf8lIqmoRDvlPW+tITh3nhsUPHi5odnnxgL/6Al0Wr2wCJQODYDqPHphk6MoWVyjOqa9iKQmI+i50vsvfQOL8UT3LPL13pmvy6uLxLcEWOy7uSsmWTzBfw6Toh3yszcWayOcIeD5qioCkKuqowny8gpeRIcp4dVoK4pwCKg16E1PwM6ZcdMoUS992witULmtnTN47jSHxenRvWLyDou3gzd3LZIg98/2XGh+YIRXzsebGfnU/30t1VQ/uCBq68fRWBsO81j2HbDlOjc0gEmqFhlUxOxoMUgRPP0xYMccf71rNqYTOKcmq06JknDvP8M0cIhbwkEjke/slufD6D7gWnTt5taatm58vH8Ac85LKlyrHLNpZpYVoOZSlxNJXEbBYzUyI+kkBRBUvXdbB206kdWQOHJ/EFDKrrK8WVI8dmGO6fZtUV3Sxd0cqLzxxhdGCGiZFZNEUhncpjFi1snwEIUFTSRYuv/+1WZiaS/ObvvueNvA0uLi5vE1yR4/Kuo3dmmm/u2MF8Nk+1FuK2pQu5elEnQgiaIxFeGh0l6vViOQ6WI6kPBhmcmecHL+xnNpfHVgVSV7G9EjtRZK8+ydzTeRpborz/uhUs62ogXzKpiwVpb7i480xmJlNMjiZo6ajBsmwGDmSYm83iU2ByME42mefuT1571gFxmVSOr/zqvzHQO4FtSWwpUDwVc06hCOyyjd9v4C1KFjRXnyZwbNuh99AE4bCPmuPO7AP9M4wMzZ4mcq69aSm5bJGRoVm8Hp1IzM/sdApLSqQAxXIQjiSTzFPbGKWjuYpUIkfAo5+cQH0Cn9+g9HNFzV6vcfw8y/D7PfzwG89QHQ1QyBdRdA0KZShbEPAgUFHKNpZP5Uff386d926kvdu1Q3C5zLjpqkuOK3Jc3lUMpef58vM/YbqYJWBoTMsEuT0l6iMhFjXWcteihaSKBQYTCVShcEVrK1vaWtk3NMV8Oo9jHzfmdkAKgVQqH7iZbI4Hdx6irTbK8u7T3a4dR7K3d5yh8Tm8Ho3Vi1torDv/FJOqVtzETdMmk8iRTRcIhn3UNMVQBQweHicRz1DTGD3j/n/46W9x6PA4UlFQRKWjyrYdHMtGEQLdo9GxtAUJlEsWhE7dXwiBpinkc/bJ65JSnrEwORz1c99HNpOYy6Gogkfu38F/f+clbAnCtNGsiojUTBvHkUSqAwQCHmzbwTLtU4657pqFTI7NM3ikMrystiHCik2Vaa2GoXHldYsZ3D1E/8FxRjJ5VFUgZWW9jqIgFAmmg2LaODj87Ic7+LUv3fmar7WUErNkoXu0t2VLu5SSieE5sukCkViABrceyeVdiCtyXN41mLbNn21/ir5EGk2omGWJFSiiyTlmUlkWNdZSEwjwGxs2MJnNoikKjaFQJW2lq9gGWB6JNI/P73MqX6Q0VSHoaGTmCkynsnTXVZ927hd3D/Dos4exHYltOxzun+bD711Pfc35zbZoaq1iwbImDu4eIZvKUyzZ1DcFCIU85FIFhBCnRV9OEJ9KcXA4Trnaj6IIHMtBTRRQSuDzGOg+ne6VbeghH41NMcI/F00BUBTBxs09PPrQXgYH4ji2Q31jlMVLm854Tk1TqT2eYtq0ZSEPfesF7HwZKURFLQqwyxZmyaKQLZGez7FifQce36l1TD1Lm7nvV65huH8aoQh6ljZT1xQ9+XwhX6aoKgzPZkhkSzimg1QVHEMDZKVVXkpwHKQQpDKl13ydZycTPP7dl4iPzxOKBrju3g10LGl+zX3eSkgpeeGxg7y49RDFXBl/yMO1d6xk3dWnd6y5XD6O/wm8of1dXhtX5Li8a9g7M0V/Yh6hSMq2RcmBXAZ0TwG/55UPVa+u0xl7Jc00m8vx5PggKV+ZUjWIIugZUC0JBrRoQbxKxeQy4DndyNN2HLbtG8bQNRpqwzhSMjASp3dg+rxFjqar3HnfBlraa5gam+eAX6eczTMxGMcs26y9ZhHR2tAZ992zfwTLqyEKJkKAoynIsAdtJkcwaNC5sYeSIwnG/Fx724qzto2v3dCJz28wOjyHYWgsW9FCbd3rX0fP0iZaO2vpPzxRiR5JUDSFaFWQzo4aFCFYsb6Dm+9ee8bISUtXLS1dtWc89pOPH2R0IknH4kaM0Xnm5rI4eQ/FsoUw7UraSghsn4amqaxY237WdZYKZR7+xrMM904QqwszMTTDw994hg994Q6qGi7uYMZLxeToPC9tPYTHq1HfHGV2Ks2zjx6gc1EjVefwXrm8SbjpqkuOK3Jc3jWkykUECiggJEgHLMcBodFVf3r05QSPHD3K0bk5GvxB5udylAwHRwe9KHAEzE3naIoF2bC8gyVNZ2i1Ph690Y5PRhbH/9d2LuwO5fUZbDo+Q+baW5az86nDZJI56lurWXvN4rN2DklFEAx5yRZMpFMZAigVBRxJfCpD8qf7WH7vetKmzZNP93LffRvw/Zz7+lw2z9HpWRyvZM3V3dSFz94an8sU6T88gWnaNLdX09hSxQ3vWY1jOyCoCBAJd/3SZm68azWWaaOogu1P9XLs4Dgen8G6qxfSs7zlrOeASp3Qsf5pojE/1TUhOhc00HtogmDYy87nj5KfzWErCrahYMc8XLGyk2tvXXHW4yVm0kyNzNLYWYPX7yFSE2S4d5Kpkdm3jcjJpgoU8mXqmqMIIYjVBCuO9umCK3Jc3lW4IsflXUO1109E8xFHB8OhZEoimocFsQaKjkXWLHEkMYvjSDojMWp8lQm/E5kMEcOgqJWwTQc0kNorNTk5H1y5rpuPXbcO4wwFv5qmsmxBI89s78eyHUqmSTjopavl7MLqXInWhLjxvo3ntG1DQ5Sepc0MK5PMTSWRqoJSNOF4IbBZtggIQW1rFf3Hptl7cBSfR+XJB/YRn0zT2FXNWIPDWKaSyuuur+ZjW9bSXh097VyZdIH7//0Fho9VzDxDER93/sIGrrxlBZl0geG+aRRFsHhVG9ffuQpNV9F0lace2M1zj+zD6zMol0wmh2e551evpa3n7EXCiiLwGBrZTAGoGIbqusqGK3ogYjA9nkBDkMchEPHz6U9ej9d3esTtBLpHQ9NVSoUyXr+HctFEURX0c5zAfL5YpkU+UyQQ9l00R/FodZBA2Et8MkmsJsTsVIpgxEek6s3zZXNxeSvgihyXdw0r6xq4trWTyUMZkNAU9FDnCVHvD+FIyT/t38bRxBwOknp/kE8uW09HOEZDKMRQMkldLIhzPIkuLJACpFL5/9GxBOprFKfesHkRuq5ydHAGr0dn85pOOi6CyDkfFi1o4LprF7M7FuD5n+3HzBTRU0UURSCPF1JPT6cohw129Y3xxNeGSBkm3qkyoQMpNMCOehFranAavcwmsjRHQ/zK1RtOO9fBXcMM9k3R1lWHqimMD8/y7GMH+cRv3cw9H7+KxFwWRQiiNcGTkSfbdji0c6hSSN0QQUrJYO8Uw0enXlPkCCHYfNVCHnlwN4PHZnAcaG6pYt36Tlp6annoyQOks0VqvDrXbVpAy+t0vFXVR1h55UK2/ewAiek0Eli8vpP2RWeuO3ojDOwbYet3niWTyBGpCXPLx66h9SKcp64pyvV3rebph/cyPZYgGPFx491riVZd/KGULm8AN111yXFFjsu7BkUIPrVmI37N4IWxYQDqAyHev2gpu+MTHJ6L49U0htNJDsSn2Ts2yW2hbqpCATqjUYaSSRSfAjkHrQhSBed4Xavp2JTL1mnpnRN4DI2btizmpi2L38QrrmDbDi+92M+unYPYtsOSzjrsJS289PA+hO1U7rMCEIL+bJbM9iQia6FYNoGQSrbdi1A1wgcSqHN55FMTmFU6iZVRHrN7+egVa9F/rn6nUCijKMrJuh5/0Es+W8KxHVRNpeYMwwuFqERlHNt51U/Pbarz8lWtBIIexkbn0TSVJcuaiFUFqaoO0lwfYT6VJxTwUh19/UiGEILr791IQ1sNiZk0/rCPZZt6MC7yUMfETIqH/2UrqXiGaF2YiWPTPPT/buWj//e9BM5Q9H2+rN7cQ/uCerKpAuFYwI3iuLwrcUWOy7sKVVH45ZVruL69k5xZpi4QpNYfYN/hKfKWyXAmSbFsEU/nmHDS9PbNEEhoLGmu4/c+cD1NMsj3ntqDo1VSVUKCIsBo8OC9yB+CF4t9+0bY+vhBfD4dRRHs3zfKVXetZm5kjmMHxk62WtMRIaU6Fa/OoIpiKhh5G++kRTmiYlX5UeNZFMfBO5HB0VRG8pKf/HA793xg0ylipK4hgqopzM2kMTw6ybkcqzd0vmY6RlEUVl+5gCd/tIvRYzNYpk11fYSe5a/f1SSEoKunnq4zRHzCQR/h4GsPSPx5VE1l+eYF57XP+TI7Ps/8VJK2Jc0oioI36GVqcIbZ8fmLInIAYjUhYjVnLkR3cXk34Iocl3cdQgg6oqemLJqDYTJmmXSpRK5QxnRssMDyQSHjsG90mm88s43f2bKZbY9sJzmZwkRDdkQJdQRZvLL5LTtLZXhoFpDUHS84tSybkeE5/ub+/0HvnmG+e/82to1MEG2MkhieQxoCLJA2WH4Nb8okHVSxBaiGhsgWkQh8ExlK0ubxR/azek0H3QsbTp5zyapWEnNZdr3YT7FQZumqVq6/c9XrrnXDdUvw+T0MHalYRqzY1E1D65ub1nuz8PgMdI9OIVMkEPGTzxTQPToe/8WbkO3y1kbIyuON7O/y2rgix8UF2NLUxtaRYzyU7qXsWGACNpVZOGrF2+mxPQOMWL2ktyRBWAQmiuiDJdSmGG3VF3ey8cXE49GxLOfktOBSycLr0xFCsGRNB4F9xzAyKbTjTuQSKnVHjgRVIBUF1ZRIm0rYSggwTYRUUTM2c/E0A33Tp4gcRVG46qZlrLmiG8u0CYZ9qOrr+0WpqsKqzT2s2txzCV6JtxbNCxpZcfUS9jx5kPjYHKqmsvH21dS311zupbm4vGNwRY6LC+BRNX5r9WYmUml2To5Tsh0UCWpBIBAVoSMd+gpFFJ+GtA3UFpsqK4tzuI/xVcuA7st9GWdk9Zp2+vumGBiIAxCJ+Ni46ZW1NlSHqIkFKRXLFREjJcKWrxQ1CtAsgfQpkBOgqmA7oKroZUnZtJiZSZ3x3IGg93XXl0nlmRxLoGkKLR01GJ63ZtrvYqOqCrf98rV0Lms5XngcYuH67rdsRNDF5e2IK3JcXI5TFwjyf226lr947nkem+1DKYMoA47ECTkI3cIsaOhRGxwwSwbzDUFWzST58588y+bGVhZGTrd0uNw0Nkb54C9u5uiRSaSUdHTU0tr2Sgpow7J2hqcSxBNZ6vIlpqbTCAekJhCOxAxWWsgUywHHAV1BKAJpaCiyYs3Qf2CCgSNTdC1qeI2VnM7UWIKffPdlpicq5pw9i5t4z4c24Q+8O1I2mq6xbIs7hfhdy4lJ3G9kf5fX5PXjxy4u7yJ6qmv4oxtvIqAoCMMBw4GgDVET4ZFIjwSzEukQXpsyBhN6BDvl8Ojwkcu9/LNSVxfmqqsXcfU1i08ROABLOuv5pdvWcduWJXz0ro34NQXsiieV6RM4XhWtaKPmHISuAqIyY0dVwXQgXWT40Bj3f/sFLNM+r3U9/eg+picStHbVUt8co/fAGHu3D7yha83mimw92Md/79vP06ODZMqvbeHg4uLyzsWN5Li4/By1wQC/sH4Z3+nbgSwplW9LhsSxFJSQhVBOTC6WOI5K2vSBrTBfyF3UdRQLZV7aeojhYzMEgl42XLOI9gUX5pydSuQY6J1EOpLW7jpqf25yb3dLDR2NVTz4yF6W1dWyLzVZmQlkAkUbY6aMhkSqKthlFL8Pjkd2rHiK6XQB27SYGJlDi3h4etcx5jN5WuuiXL+uh5D/9LSVlJK5eJZQxHfSeFRVFDLJ/AVdI8DASJyv3f8cvZMzSBVCHQE2rengV1duJGicfQCgi4vLOxNX5Li4nIHfvvp6EnaOnw0dwXZAEypVPQqJvMQ2j7taS4GdU3H0MvgdJs1pnp05yKbqRbwwM0BfOk5AN9hS10VH8Pw6hKSUPPXgHrY/cwR/0MtoPs7U+Dy/8MlrqW8+tyJnx3HY/0If2x7bz96XjiF0jarmaupbYrznw5tp7TrVgmJ8IsH+g6Ms6KrHyluMjc+TS5ZQ8iaqQ8W5PFdCSAmWU7GnkLKSziuazE0kOLJvmAPFHJNzaQI+g6GJOVLZIr94y1pm57NMzaQwDI3u9lo8hkZjS4z9xwcAmqaNlJKq2te2HXAcyWD/NLlMkUgsQFtnDUIICsUyP3p8L/2Ts/hCBoatYI6a7A1Psr9pis1Nbef1Hri4XGrc7qpLjytyXFzOgE8zuH3ZAkqhFG2BGkK6h8PpcXZNlklZNjgCK60hcgqBlhxBj4qhSH46uYsj6Vn2zc6gKyolx6I/HeeTC7fQ7I+e8/mL+TJH948RrQkRqw4ipWTo6BTDfdPnLHL2PNPLj//pCQ5sO0YhU0TTFcrFEo50ePnJ3tNETtm0MU2HYMDL4iVNCGBkZBbVAZ+qoJs2yWwJW1ORmgIlG2E7oCpUJiJaHOmdZDIMXU1VKIpC1lfi2HicbfuGePalPkbHE6RSOVRTsmFhM5s29ZBNFRgfnUNRFVZv6mLl+o6zXpPjSJ54ZB/PbT1EKl2xcdh83WLuvm8DqUyRRCqPFtTwGDpeTaMcz2MWTEr2+aXRoOK9NTEYRyiClq5avG5rt4vL2w5X5Li4nIW8VSKgG0Q9lUFydd4IVzXrbNs/ydSsgywJNN3CdgTZA2W2bp+jfpXCRGeZZn8d9b4QUkqOpGfoTU6jOCqpUpEqn586/2tPnxWKQLxq+q+UlTZ2oZx7582epw/Tu3uIXLZSk1IuWYzuH8HwecikTk8J1dWGqK0NMTo2Tyzqp6o+TF19mJApKaULSGB4dI6pRJZS3gTDRM3IkxEdXVOpbokymk5VHMYB5/i6n9t+jNHxecaH55ifz+MIyXD/DE8+tI9f/+yN3HDXalRNobYh8pqt5r0Hxvj+Pz/F7FSKcslGagrDg3Hmk3nu+eAmwn4vnpRCWhQpFTSKjklNIEpr6PyMNeemUvzkm88yPhhHAO2LGnnvL19NOOZODXZxeTvhihwXl7PQ7K9CCMFsMYOuqKTMPIuDLTxdnMHy2uB1sITCbCKMyEv8Yw4zAlQlT/OSV44jgX3xKR49MkjOLBP2eHn/wqVsbDy7u7bXZ7BiQxfPP3aAfLaEZVrUN8XoXnzu3VvTY/OV+hbHOW59LnAkTB2doPWT15+2fTjk4713rObRrQdIpQp0ddZy203LiQS9xCeSbN8+SDnkZVnUx+FdwwwPzSKlRM0UUTWFpes6ueGWVSSe28/AxBwCmE/l6aiLkUrmSM7nSCXzYDsITSBVQTpn8v1/fZa/uXU5/jPU7bwax3F46qE9TI8mKJsWOBJsQVHA7pePsWJ1GzdftYTc1jJHpuMUHZPGzhi/fOV6uqNV5/y6Abzws32MHZumtace6UgGDo2x48lD3HDP6T5dLi4XjOtddclxRY6Ly1lYXdXBXDnLjtljFG2TNbEOap06UqXdSClQhcR2oCwNfIqJWrQReZ3UkM1ROU2yMY8ICvyqQV88QUjz0hGJMZnN8KOjh+iKvuJ0fiauumU5oYiP0YE4/qCH1Vf0UFX32vUqr6a6KXayZuYkmopjWTS3nTnl1dZazSc/dg3FkonXU7GBAAhF/GzfO4LXb1BVF2HjDUvRX+4nOZmkWhEsXtvBBz59EzX1ET5081qe2H6EJ1/uQxRtsnN5ZmYzJNJ5bKdiaqoAqhRIAZlsidRsDn/bqSKnXDI5tHuE+Zk09S0x2rrrSMyksR3nlaiWBGk5lAtlksk8V161kPraMLPzWRRDYUFb3Rmd4V+PxEwGf8CLdnxfj9cgOZs97+O4uLhcXlyR4+JyFlShcEvjSrbULMSSDmHdy7axMTRVpZRVcVCRCqCCmnWwIirCkuSsMgO5GdKPl7j2xh5WLWjjJ4mj1IeDCCGoDwQZzaRIFouvKXI0XWXdVQtZd9XCC1r/xltW8tC3X6CUyQMSqerg2Hh0lZ9972XCsQDNnXWn7acoAv8ZjEbr6sIcPDhGPl9CCEF1UxV33beJ229fecp2VWE/dcEgYdWgc2kjqqqgKArpdJ5Mugi2qLSeWxJh2oRiQarrTvVXKpct/vNrT/D8owcoFsvouso1t688KTqQlRTecV9RhCKoqak4bDfWRWisq6Sn8tkiLzyxl+mxeaLVQTbesIxY7et7OdU1xxg6MkkxX8JxJKWiSW1z9PVfdBeX88AtPL70uHNyXFxeh6DuJWr4UYRCZ1UVi2trUY67jwsJat5Bz0gKDSq2AVbUwY46JMNFJrdnWBCsJaAbzORzOFIyk88SMjxEva8/DfiNsHJzDwtWtKAFfQiPB0UBny5o6KojNZdl+MjUeR1v0xXdLF/eQiKRZ24uy+LFjVx55ZlNLEtlC6QklSowO5vB79VZv7qDTYua8RUd1IKNVrCI+Dz86m/fiuE9VVQd3TfG8z87gGVZVB8XJc88vA8pJZqqoIpKBk4KgaKrrN7YxZo1Haccw7ZsfvqfL/HYD7azb9sATz2whx//29PkMsXXvdYrb1/JwpVtzM2kSc5lWb6hi3XXLnnd/V6N4ziUiuWTdhouLi5vPm4kx8XlPKgPBPncls38/596iqOjcUTOwTvjUK73YAYEvqyJo4NVtikpJi/tGSTzZxlu+cgads5O0J+YI+zx8t6exa8ZxbkYKIrC9e9ZDWaZ6bEEQoCmCILR4PHnz88+wO/3cM+9G5iZTiOR1NaGMYwz30Jqq4LMTKY4dmQaRQhQBLfetJwv/cYtbHvuKPt2DmMYGre+dzXNZ/BqSs5lKBXKRKsD6IZGOOpnfiaD5tHoWNZMajZLoVBGKtDYWs2vf+YmDM+pa5mdSrHjmV7mZrNIR6KoCnte7OeKW1aweHX7a15rKBrgnl+/ntnJBEIIaptiaPoraS/bspkcT2CZDnWNkdMmNA8dmeTJH+8im8pT0xjlpns3UNsYPcdX2sXF5WLhihwXl/NkRbCWLfEYztA8qWQJUZBkmxzCcwL/hEPJsSksUpAlBWFJ+vZM0Dce53O/cxtLW+qo9QVoCL5+yuRicMWda5kZncMqHSE+kcAT9uMoCrVNUbqXn73w+WxomkrTObSwl/ImXk2HkEAIWbHBKJioqsKW65aw5brXjoo0ddRgeHXSiTzhmCCbLuDx6rR311MwHVo6aimVTNLJPNffugLvGdJrmWSe6Ykkmq4RqQpQzJeZm80xPTb/uiIHwPBoNHXUnn5tRZNH/nsHRw6MYdsODS1V3Pr+tcSn02TTRRQku544RDqZIxz1039gjHLJ5EOfuQmP1x1I6PIq3MLjS44rclxczpO+QxOYEwU21Dbz7FgfTtkhdtRBSIGwFZRBQcmjoyPQCg6aBYWMzQ+e28uf/9Jdb5rAAahuiPKBL9zJFXesoW/fKKWSRaQmxMrNC6htunTO6ZlskeqYn/a2GhxHkk4XyOVK2LbzSl3NzzE9meT5p4+QTORobI5x8z3rePyHO0nOZfH4dK68aRl3fXATVU/3sn/3MIpqsGxVK9fcvOyMxzO8Bt6Ah2KuRDZdwDJtvD6dYMR/4deVKrDt2SPs3T5AfVOMXKbA9meO8MLWg0TrQkRiIbLpPLnZDBu3dKMoCl6/h+nReRLxDA2t5zcU8nIxORRnYmAGzdDoWdlGIOy73EtycbkgXJHj4nKemKaNEGClSxgz1is1F5rAUkAUwTNTMd6z/aBaCkiHkfFpJtNpOqovnbg4E4GInyUbe1iysedNO2csGkAIQTZXwmNoJFN5Fi9sPKvASSXz/Oi/tjE1kcTvNxgZirNwcSO/8uW7yCazNDRVsXBlG4ZH44bbV3LFNYuwbYdgyIuinLm0sKouxMJVbQz1TqKqAimhuiFCY9v5Cw0pJS8/3ctLTx7myIExMsk8g4fGmZ5IIp3KLKCxwxMEowGWbeliIlsiOZ+jqiZEqVhG01XGhud44ZmjOLbDwqXNLF/bdta1X0769g7z8DefJT2fQwBtixp5/6duJPQmzQhKzmfZ9lQvidkstY0RNl23hEDo0tavubxzcUWOi8t50tJejcerM9A7haoKLBsqE38dhHQQqoZWFKBISmEBQkGaDgUP/MfYs3Q0hGj0nd/clrcbK5e3MDGZYP+hcdLpAu1t1dx8w+kRFyklB3oneO75o+w5NMrSBY3Ewn76+6f5wfdeBk3F59W5/trFLFxVsWUQQhAIvv6HXjDs444PbuKxH+4gncjj9RtcdeuKU0SOlJKxmSSpbJFo0EdzXQQhTq9VOtY7yZMP72VmLEF6NkNiPo9jWuAAugq2g0Ml0nNo2wDVLdVMjSVIz2VRVIWOJc089dhBivkyiqrQd3gS23ZYs6nr5Dnik0nmZzL4AgYtXbWXRQBJKXnugV0UskU6ljRiWw5DveMcfLmfK25bdcnPX8iVeOA/XmTwyBRev8HhPSPEJ5Lc84mr0c9S//V2xu2uuvS8835rXFwuMW2dtVx3y3IGeiepqQ2RSuQxSxa244AuMMMqig1YYKQlhVpwyipej0JczvPjse18ousGPKp+uS/lFKSUHBiYZHQmhdfQWNXTRHXklW/vQ8OzvLS9n9nZLIsWNXLjtUvO+kGs6yp33raKDes6sSybmuoQXu/p17tr3wgPPb6f+bks8UyBA4PTdNRGObh/lFy2hOHTKZZMHnxwD9GYn/s+cuV5XdOC5S00tFSRms/hD3mpelX7uJSSZ3Yf46kd/eSKZQI+gxs3LOSq1V2nHWduJk0inmFuOvXKh60Q4FjgCIRpVwxbvSqZRIF119VxzXVLsU2LWG2YoaFZ+gdm6TxusDoxOs++nUMnRc6BHYM8fv9OMskCHp/G2isXcsPda950oePYDrl0AX/IixACTVcRikIh9+Y4uY8PzzHSP0NDWxWHtw8yfGyK3c8dYf8LR/jdv/4I4eNF8y4u54orclxcLoB1V/TQu2eEof4pAgEvUxNJEqk8g3YeKRSkOP4tS4JigePTkDmo84aZLiZJlHM0+KKX+zJO4fn9gzzyUi9ly8JxJAcGJ/noreuJhfwc6p3gz/7qEUbHE0jHQXtY5cWX+vm/vvQeNO3MH8SKImioP7udgpSS7XuGUBTBkkWN2EWTsekU5UyJfLaMqikEwz5sR5LLFtm9ffC8RQ5AKOonFD29DmdyNs3TO/vRdYXummpmkzme3NHHgtZa6qtPrZvy+nTmZjKkk/lXRI6UYDvgmCAEUgikIpCOxOdINt249KRFxcjoPD8fIDqR5symCzz14B6ssk3HwnoyqQI7nz1K95ImOs9jwvXFQNVU2hY2sufZXnRDo1wy0TSVupY3N/J4cNsx+g9O4kgHEOx6cYCvfvKf+eNv/+YZi8xdXM7GWy8h7OLyNkDTVW6/bwNdCxtRNIXOhQ189NM3Em2InOx4cHSB7QekgDIEgyoxjxdD0fBehChOsVBm/7YBdjzdy3Df9Buax2JaNi/sH8LQFHqaa+hurmZkOsHBwcosnR/cv43R8XmkdNB0FUs6vLRtgKee631D12BZNqqioBsai5e1EKsOEK4OoPp0bK9CQTgUHRsBePSL+50smy+RL5pUhSv1Q1VhP/limUz+9Dk6Dc0xNE1BCIHtSLxeDZzKnJ6TDTKaAkKg+3TyySzxsfmT+y9c1owv4GFkIM7Y8ByO7bBiXQdQMQIt5EpEayrDIsNRP6Zpkc0ULur1nivX37uRpRt7KObLCKFw9d1rWbLh9OjWpaC5vZrWrlqG++M4UqIoCppaGUEw0DtF//7RN2UdbxryIjxcXhM3kuPicoHUNUb5pd+4nmymiMer4/UZiIDO7//9jzE1cDRQiyBsUFTBkisCICRbahYRUHUOp3YwXRrFo/hYEFpFjefcv7UXC2V+8q3n6Ns/hpTg9RvcdM96Vm++sOJi23awbBvjuJBQhEAgsI4bhI5OJHEcicfQUBQFx5GYls30dPqCzgeV2prli5vZ+uxhxiYTjEzOk3MsgvUhZNZPfjZPwTFBgSqfRsfCeg4eHKOrsw6f/41/m4+F/YQCHqbm0tREg8STWUIBL9HQ6VEfRVHo7KlHU1XiMykkCsGoH7NsUiyYlQiOV0dXBRvWdiCQWOYrzufdixp4zwc2sn/HELbtsGh580m39XDUTzjqJz6ZpKGlinQih8drEK26PKmZUCzAPZ++kWwyj2Zo+M+h/uli4Qt4eM+HN/PQd16kVCijINBVgXQqYTCzaL5pa3F5Z+CKHBeXN4CqqQSCHk4EUfzNAerX1HFsag4bUIuSBo+fT39iE+Eag7F4ltERk38eeRg92k/A0LCkyUxpjGtq3kOUIaR9DPAiPJsQavMZz9u3f4yj+8dobK0UQU+PzfP8o/tZvLrtgsL5HkNjQWstLx8axnYc8iWToN9De32lE6y5McrA0CymaaOqTkXw6Cp15+Gl9fNIKVm/pgOE4GfPHSJnWXT21GGJSm1LQ3OU7FSG3P/H3n+GyXVdB773f++TKqfOEehGzgATGMBMSiJFilROtmRblseyPY4zc63xXFv3vtYdX894xtZYI43veCQHWVYYi8qkKEZRBEESBIgcO+fuqq5cdeJ+PzQIEmImAIIiz+95mg8bderUrlPVXav3Xnst16MgPL7xwB5+sneItau7+fgv7sBxfIqlOqlkhJ7u7BkJw/l8lfm5MlbEoL+/5QU7m7dlE9xy5Xru2XmYmYUy8ZjFrVeuozXz/F1EmZYEkUSEUqmOFY/g2S7RrMUHfu16fM/nnm8+jlu16e/J4DUdulZ10fqc4n9CCNZs6GHNhue/ntG4xc3vuYQfffNJZicXicRMrrl1M72Dz6/R83qRUpK6QEFWtjXJNbds4odffxzf8wn8pdmy9p4sy17n5bvzLqyTc96FQU4o9Br5ns+j39vN0w8dQSnFwEXL+W9PHaA01yCmwLdA9RpcfeNaRCzCnuMFhmeK6FIxVhult9Xili1t6BrM2GNMl79H2ti3lOuBh/IOQfxXEVrn8x672XBAgXUqmTeWjNCsOzhN9zUFOUIIbr1iPbomOT6xQDoR5bqtKxjoXtqJ9P53X8rQ2AKTk4t4vkLTBJddOsD1V699TdeuWGnww0cOMTa9SDRikOlMsiJtkE3FGJ0u4KuAqWodT/oIHaQvKM80KC7UOTlXYGg6T3trGs/xiUYMdlyxiquvWIUQgmNHp/nBD56mWKyj65ItW/q55dYtL7h9/aK1vQx05yjXmqQTUTLJZ+vBNBsOsxMFhBB09rWQ6cmQak2iCzCjJkYySrXm8L4PbWfbtmU89K0nWZgpEsQs0u0p9u48zqbtK1/R9ufBdd38wu/cTHGhSixhvapGrG9Gn/z07dhNh8d+fBjP9ejuzfKvP/s+cu0vnuP180ic+jqb+4deWhjkhEKv0VMPHOSh//04sWQUIQRf+5sfU9Mg6F76RSzr4I+5fHvPAY46c0zlK1yW6aMzFqeujTBdCJgre3RndVAB+IfBiIHeder7Y+AehBcIctq7MkRiJrOTBeKJKAvTJQbXd59V0bZ4xOTd12zGD4Kl5arnzIxsWNfDn/zhHTz62AnyhQprVnVx8/UbXjTp+KUEgeJ7Dx1g3/EpWtJxFharTOcrlJwGjq5YWKxRr7sIAlRUIAOBtAOELjBsRcP2ODI0i7R0tq3uobBY46ePHWfVYDstuQQ//vFBqtUmy5e3Uq877NkzyuCKdjZsOLPC8/xsiZNHZwgCxfIV7WcEOMV8le/9/SOMn5xFCMHAum6kZdCztoue3hxSCsZGFk4f3728jQ/97ju452uPsfvhoxx4Yph9u4YYPjLNuz9x7SsKPBOpKImw6B4ApmXw+3/2IXzfx/MCLOuNtRPxnFEKzqa3WdgX7WWFQU4o9BqNHZ5E0yRtPUs7T0qPHUEqheYvBTmBANkMaI426bokyUlVYNat0iPSxGSO4fosT0/Mk/fLRCMO9y8U+bEXY006z1WZNDEE4L/gY/ev6uDGOy/ipz86QKNuM7i+m7e//7IXXJZ5tbRT25YDpcg36gC0RGOsWN7Gihdoc/BqVepNRqcLtOcSpBNRsqkoQ7MFxuwKdhDg6QEiotCaAs1WBBpgSfyEhuYrdFvhRZY6jwshyGbijIzlGRpZ4OjRacbG83R0pJbq6cQt5ufKVH+mKefM5CL/8pWdzM+WAMjk4tzxwe0sX7m0xfvRu/cxdGSK3oE2gkBxdO8oA5v60DTJ5HgBhcIwNdY9Z/mpMFfm0O4RMi0J0rkEru0xdGiS0WMzrDlV4yf06miahqa9cAHJUOiVCIOcUOg1isQtXOfZise1ahMS0dPL5FKBQhA96eEUHZKWxVytykk3z56JBg3b4Mn9dY6P2Fw0OExZCnS/zM59AaNbC/xKfxpNf+FEYiEE265azbqLlmM3XBKpCNqLVBN+LRquyzcOH2D/3CwAm9o7eN+6jcSMV/cXdcN2cT2fRNQ63RDU1HV0XaNpe6QTMFOuMlIuUs/6uOZSkoLUlvbgax6gC5StcCMCvSGRvsILFFMn5+nPpKg7Hq7jcd/9B3Edn8nZEtOzpaUaPa6PpmtkfqZa794nhpifLbF8ZQdCwOjQHD+9/zAt7SkIAmbG88QTEUzLwA8ChK4RMXXeecc2Dh2YAGDDpj7Wb3w2yPFcH9/zMa2lxGXN0FBBgOd6r/FVCIVCZysMckKh12jrtesZPjjB8MGlba1K0/Dbk88ulCsAgZQwP1dl+WCWPpnhwMlZGg2bjOHgBzYLC3EmzXbWL5vmcTtLjznP3Y8v4/aBd9Glv/TW3UjUPC91Q+4fGeLR8TE6E0vJp4+Oj5GLRLlt9SvLwQkCxcNPn2TngRE8P2Cwu4Xbr9pAKh4hGjG4ausAP3r0KEdH5ziSn8eLKoyETtN1CBJgVBSaABQoA4SjcHNLFzY6H2AF4Lg+jzx0BD0VQQjIpWNcsnUZQsD+AxM89sQQy/tauPGG9axadeaSX6PuYJg6Ugo812fsxBy7HzrK1z//YyxLoysXJZAa+Vqd6WKVRqlOo93iit6L+cDmPsYnCtSqNrOzJTo7MwBk21J0L2/j5MEJMi1JKqU6uY40Xf3P77IeCgFh4vHrIAxyQqHXqGdlJ+//3Vs5+fQoSil+6to0pFz6xfPcQEcJOlrT3LF6A9f0DPI7M99lTl8kGalScsB3JKOLad618QgPzPZTthpoQy5Fr5sLtZdkpLhI1DDIRJZyREq2zUip+Iruq5Ri/9AUP3r8KBFLxzJ0njo2gaFLPnDDNgCu2jpINhXjwNgMMyebgEnZsak7LoGmUBpIRyEE+AZIHZwWhVEUSF/ilh3yHQLD98kpk7rtYbseR47PUFpsIDSJEdExYgbdfbnTs0iwNOPiOD7Tk4tUSnXKizUmhucJXB/pBziOR7XSRNUbBGN5NFMn1ZNi0vD5H99+lE3pHCeOz2HbLvG4xU03buCibcsxLZ1bP3IlD3x7N9OjCyxb1ck1t297yycRP2NyaI7j+8dBwcD6bpatfpPtlAq9IYVBTih0Fjr6W+k49Zf6b8V0/p//8eOlG9SpWMdXEJX8ymWXsbGrY6noXDRGoKDuSrxg6bio4SIAN9AoNSIQSOLncPnp1cpGo9Tn3KVWFSwtX+UiL50U6/o+9x8fYvfEJOMzRerNJld09CHEUr2dg2Oz3HviBApYkcuxYUUXLR0J7vOP06z7uNWARGBRrDfRGiAdsFOgUNQ7QGmgOwIMgZKgmh62JbHiJtLQKJYbDI/nsYRGKhll7Zou6k2XfQfGWXNqJkcpxf0/3MexgxNIIZgcL1DKVwm8AOkrBIJAKZSCAIFCEAjJ/FSJxl7F0aE59pUk61d0smpdF/PzFR548DCDA+1kMjFSuThrLxmktb+VRCpKe8/r24z1jWrs+Ax3/e2DLM5XEEKw95Gj3PZLV7NyY9+FHtoFFe6uOv/CICcUOkfeddNWRibyfPU7TwEglMI3YPUt/fz97r28d/MGLl/Wxx3b1nN8do6xQhWUQybS5IbBYY6Vs0zU4wwUHDasb6UleuZ2Wdt3Kbt1oppJXGuA8kDmEOLc/RhXvRqjtTG6Wmy6ijonCktVe/vTaa5bPvCS933o5DDfP3SUmGFQ81zGnTI91TL9iRT5So0Zu8rMgSbNwKFJjc3LE+iRANssUnZruCmfuKXT6sVYzJSpziiCqoEfCQgSisiMQPgKpQk4Ff8pTZAv1+lpTVOt2QQBCEOwfHkLbW1JxicX8b3g9BgLC1X2PzVCtjXB8pUdNBsOP7rrKZxThwTP2e2iAKRAmTqy7kPdw43pFGoNjh2cpKMrQzYbZ26uTLXaJJ2O8vA9B9j54OHTjzl0dJp3ffhyzDdhc8lXY9+jxynlqwyu6wZg/MQsex859pYPcsLlqvPvrf2TFwqdY7/9Szfyy++/iq/tfJqfjI2waaAbU9cZL5b48fGTXNLXw7a+Lv7dO67j7oNPs3fqUXozc0wGCe4f7iflBWxe3cEHr7mRuP5sMbax2hzfn3qCqfo8ZXuUTbECN2QbJLQEmtFDwkhhRi5G6esQOCCSEMyBPw4YoK9GyDMr+fpBwMn8SSYqQyilaPgwxxEqOAQkaO+IcknPJtrMTlblcuSiz68E/Fz7p2exdJ3udIpcNEq+XGPP2CQnG3M0Aw8no3ArUPAWcaWHM1Yn0r5Ae7yNVakVHCxOMKUXaY8lWNbXxuHoDHOTDjgakRlBdNxHCIHSwI1AENHQPEXdcZkulGltTXLTlWs4cXKOQBOMTxYQCNaseXZZxPd8bMdjoWkzPF/CMnRautM0SnU8R6GeCYj8AGXpqKgJUoClIxwf6Sk8U7JYrLP7kWOs2tpPJhMjnY6xmK+yZ9dJEqko2ZYEdtPl6IFJRo7PsvoFigD+LN/zqVeaWDEL03pz/Wp2bBfD0E+XJTBMHbvhXOBRhd4K3lw/SaHQG0AyHqGvL0eiPIupL/2IxQwD2/Pw/ADd0Nna383W/m4mK1fwtSP7mG9U+WS/xlX9bWTNHL3RZQDMNyf46ezj/NPBJxjLG8yXomgx+EkkxeftBG9beYI+/Sh3za7gPV3f4M62Ch3xToTRCSIBNAAJxhqIfRwhlwKnhcXdfGv33zO5WOHAfCuTdoy1KyaoNNJsWVkikCvRDGiPTrK955LnPUelFK5yMYRx+oPL0nRc318KmJoOQgiED1HDYGSugF0MaC6WCXTABLvk0KY0tJYScaOdfLOO7QdMVBrEZIS+vhY6CwHDhyugAoI0yGKAb0iaHRqmLTCqAiFBWBp3vnMrl188yFCpxND4PIamccsV69iysQ/PD9hzcJyh0XmOl8os5mvEIya27WIZOl2XL2Po2CxBw0Uv2fgpAz8eRQYKzVUEmoYyJQqBMpcq8M6OLxJNRXnP799CMhlhttLEc32S6aVlPdPSUX6AY7/87qrZ8Tz3fG0X+dkS0ZjFtXdcxLqLlp/tW/ENY2B9D0f3jJ4urujYHis3vcVncUKvizDICYXOg75MmqhhMF4sETMM5mo1tvf3Yf1Mnk1PMsPvX3rNC55jvjnJ3VP/mwdGD2CaisFOiVIdzC0kqWXqaJUIPzyymvdvOEAj0PnSiU0MVUZ5T/sol7YeZqSW4f/c/w46EhZ/sukwWf0JiFxP4BzivgP/jdlagGYKblgxwn0jyzg41Et7/wL7RpOs6jvC0OJGzCDPMeaJJQxszebIyCzffGA/U8UCbe2Cm67r4tbl19AeaeOqwWWMLRZ5+PAQhXKDRs0mWzeYsYbJ9ZaxSxFk2mHMzYGjUcgHOHMa7toSJW+YOd8j0anTEU1QtT0mK022bm8n6NeZmC3hCRerHsOflajAJeHoZFImyVSUZGuM1as6+c4jB2gEHls29lGqNTk6l2c6X+bIsWke2HUcx3ZZdFxE1IBAoUlBsenQ2pch3plisVzHy0QRnkIoReArpOsv5VcJCShEAJya8CnlaywWawCk0lGiMZMTh6fo7M3RqNmkc3E6XyYvx244/OArjzJ5co6WrgylQpV7/nknubYkHX0tZ/lOfGPYfMUqnKbL3keOgVJsv3kDF1+77lWfp9lwmJksommCzt4sxjlu2vq6C5erzruf83dIKPTGtK69jfdu2sB9J4awPY/t/X28e9O6M6oIv5zx+jH2zJ1kvhoBJUhEm3RkiswV0qgZiRcXiIUo902sxNR9jKzHwydWMD7Vzpdu+DFZq8KO3D7+6+FLeXC6g2/eMM6qPnhi+AG+dbyViVISgK5ElcFMkYOlHK26ZLYaZ72cZaZa4omCzkT+ERZUCa+1znBlHs/X8RcjzMwLxofHcD5+H7+w+g62dHcyPVdm8kSBtmSOQqPCrJvHVgKViCB9k3i8zvLMFEMnexFK0PBMSiMJbl0/xOJsH7ISo6LbOMpDKUnBcbli9SAzHRUOzM3QCFxW9HZROVmnNWGSTcawYgaBAM8PmClU6G5NEYuYJGMWQ5N5xmYWeergOIahEYnqJGImpUoTW5MEgcB2febnKni+DwiQaimokQJcRaALlBOg2QGa42NUfDRXYQhwXI8nnxhm+6WD3PudPRQWKhTzNcrFOms39XHr+y6lteOld1eVClUWpot09LcQjVsk0lFGj84wN7n4pglyNE2y/aaNXHbjBtSp7uKvVmGhwne/tovJ0TxSSlas6+K2919KNGadhxGH3izCICcUOg+EEFyxvJ9L+3txfZ+Irr+qAAdgoVGlYrvAUgE+pUCe+gBG6mjTPiQ0crpDU9OoIKgKEyV1dAmuL+jJlrlt4CTfHVnJv909w5dbm3z7UI2TC1l8TyIEjHtpVLCUxNt0DTBdFhsa+bLOzLTDsckRLE3hT/gEHRKZcaCmEcxblKrw+BNzvHOgSEyP0m5F6dHidLek+EmjQNO18ZsSP6qhRQQ1N0o2mcfExZMGaAK7aGEpnYtaC5yQkI7WqTfTDMTbkYaPJgT92QymqTFTK/HxwYtp9ts8vGcIx/NxleLKTcsZ6M5hGhq1pkMsYtJ0PKSUGLpkolBiulRBSEEdl0rTRjMtdE1iWTr1uoNte89uVzEEyldofoDSBEKXCCWxCh56I0D6AYGh4WsS2/E48NQo+54YprMnS/9AG2ND87R1pljxChpKWlETw9KpV5tE49ZS921dYp2H+kcXmviZdiGvxk/uPcjoyXl6l7Xg+wGH9o7R1Ztjx43rz/EoXz/h7qrzLwxyQqHzSJcS/TX81Qpg0o4uTJLROkEg0KVioZKEAKQr0Go+QYtgTWaBhwu9aJaNKzXcU0sps06c/bUWrmiZ4tH5LiZrCcbnH8du5EloUYpeBKWg4RiMLmaQUZ+8G6MvXmXn0DJqZQvN0XAiClECZQtkVgICTB9QKKmYmXf5zpHDxJMnmamXOdkyzcHGKNW0Q7AASiiI+aiUhzuvU8knieWaNMoCD4MAMLU6JpJEBAyjSXfE4AP9m9g1P8bJ8jxJI0LZa3Bp5zK2d/dh9Gos726hWGmQjkdY2deGELBj8yD3PnGUk5N5BLB5ZTepRISy69C0PeIRA08pVESSjkdpy8SpVpuMjhc4/ZETqKUPj0AhFCgpCCwJUmA0AjQJViaCjBpIIVjen6O0WEMBscRSM85sa5L8fAXP9dGNly4FkMrGufSG9Tzy/acZPToNAjZcMsjAqZ1IoSXzM2XiyQiGqWMAhqGxuFC50MM6O2HvqvMuDHJCoTeowcRqEmorc819uMojX04wVciiOwGGA4EJ79lyFF8KyrpJzAuISofe9iIVz+D7+eUs2lEMq0RE85Gag2r8C7evPM7WNpN/ObaG4cUsjq9huxptvXOkMzXWyDIbEkV+OL4G21mqSeNboDUFndkypHxK8ymqaikIEDGXr+09gm75zJIHU+HZEt0Ha1VAvW4gYxJLd1EyoFKJE4s3SRkOk26WoCCYmNOZ8VsYWN7DmrYIi/4CLVH4yIrL+PHkYebsKptzPbytez2mtvRra1Xf8/toXbt1BZ25FAvFKrGIyYbBTg4Oz5DLxmlLxymU6iTiFuVok5wRpz2XJGoa1OoOuqUxO12iWl3qcyUUoC3NcPmGxESQS+kk4hF8Q8cPFMlkhE3blvGTx48z3KjSmNIYbE1TWqyxYk0X2qkGpnNzZfL5KtGoSX9/yxnFCYUQXPn2zXT05CjMlYklIqzeugzjLb7t/Ge1dSSZGl/AbYnjewGu65NtTV7oYZ29ME45r8KfolDoDaovleGWZdfwv/bGODA6ju8rInaAVYeMVeNXbnuKGRXja/Or0LSlYGKwp8wlPYv8w+wajtWy3JCaZLKeoILJh7INetLtHJur0xId4/r+UQ7PtYNSSFvRLGqYUueYEUe3I9zYOcTdx9YgA4ESoBEgYx6XpGfJLp/in+Y30/B0tGiexRlJ0zeQhQRBPEAO1HAWLZp6QKqvTt2JkNRdtBaPSsOgLbmIEXGZrCcQowb3PboSt02wdzjPgeOCa2/UkULQE8vw8VVXvOJrJoRg7bJ2WNZ++t+SUYuIaZBORBjsb2VyvoSmBPZcg6MzZXr7c9x+y2b2HZlCaIITo/MEvkJoAQQSNybQkPhxyVRMECtU6bQj9Kzq4MqrV/PwgWFO5BfxkyYHZ/PMFSpcNtDN9e/cjFKKAwcmuOdHB6hUGpiGzsWXLOfmmzae0UxVCBHuNnoZO27awGK+xuRYHikF6zb3cdHlKy70sEJvcGGQEwq9QQkhuH7ZIGta2vinPU/x4P4T+MqjrzPGlRd38VBJcLisI4Qiqvm0tRpc39FPZ+wy4DA3a6OU7RSPVTbx+6tbeXffPqLRDoQHZc8kazURgYJAYNQUQdUiH1gUNQ/hgEhI9IILCROBT1driRV6ifWqRO+yCo/M97DXa2F8PMdtFx3mrqPriPfYVKejuMMJjJyDqhv4MyaepTHVSPLxVXsoahp5O8rUQoq41sSOmuiLikjdw+/3OTFtMfoVmx+u/QZfff/HSctO8qUahq7Rnk28YE5HYWaRY08O4Xs+fWt76F/7bF2aFT2tXL5hGbsOjTK/WGV+vkxxrkbCNEm2RPG9gNZMAhHXmW3UMRMmdt3BNzQUCi0Az/SxYwKlQ7XLwJ5r0G1IFhtN9h2eYMO6Lvo6shw8PsX4fInh6WH+11+dQDYDEvM+3UaMK3esxj6VqLxisJ3urgylfJVIzCLb+sLPK/SslvYUH/zE1cxMFpFS0NWXe8sXWQy9vPAdEgq9gQkh6Emm+LfXXMe/vmIHDdchHYnQDFxi47tJLhyn4jbojeW4o+8StuUGlgrmqQDXrxEoi98wTJS9E1XfB6pAQtrISINdkz1IFzQ7QCpB3HCpewaVagyzEnCokiAV9Wg2NUSLD6srVHyTb46s5iOrD3PRqgmeGmuhXjc4VM6ycdkkR6ba6VmzwPiJDvyKRHoC14uiYhKjpcHXnt7Exy/aTdTy8QydkaANYSoCFyjoJDaVaBgCb8pk7oDgeu8L/F9r9vD5R9/OQKKD927ezK1XrEN7Tp7TwmSeb/6X7zE9NIsQgmQuwW3/6mbWXLrUwV1KwTuvWM/65R0MTeb58tceRSLQTY2iY9N0XL573z7GVYOy7uNEfHxNoFcChCYxiy5SkwjXx8npSF1QbNf46cERDh6dQugSQwmqms/wdIFa08FvgBcF31TUsgp7uoz16HG2X7eOfL7G0LFZHvjmkywuVDAjBpddt5Yrb9rwvECnUqpjN1xSufjpD/TifJmhQ5P4nk8pX2VqJI9uSDZsX0HPYAempZPMxJ53rmqpTrNuk8omMCMv3U3+xP5xdt9/kEbNZsWmPra/bROm9eo60J8P0ZjFwKqOCz2McyfcQn7ehUFOKPRzImLoRE7VBYlJiw8sv4JberchEcR164wPNSEkpv6cfAXzUvBnwHmCrnTAA4fa+fGelZgNhfIFaIpotkGtZOArDb8uUbakM1NjfFRDOAFTqTac1hrjtRT/uG8jt6w+TptRpRCNs3eyi+s2H4OYTyzRXGq74GgQgNCgNV1kIZ/ErwvuPbCSaNIhpVVxmyaRhiCIKDQFtT0Z9M01WlpqLBZS+M0o31zo4zPXf5Xf/PL72FM+jqtdzro1HdR8SVRPMvOTcaZOzjK4uR8hBBPHpnjse7tPBzmwFOis6Glleq6MlJKIlMQtAylgfqGC4/ssak3shovyFQiBnZZEF3xEAFoQoByJ6/ogdUQgcWOKkhOQKLmcODRF0Gph+95SsUO11HvLNwReTNCMKaZnS0yMLqDrGvt3ncQpNejsy1ItNfjpPQfo7mth4NRuLKUUTzx0hMfuO4Rje7R1ZXjHBy5DovjW/7if2fE8hbkypXyVZeu6EULyyN37yHXn0GMWK9b3cNOdF9HVk0UpxVMPHubR7+/BbrrkOtK84xd20D3w/JwmgPHjM3zvSw9RrzQwIwbjJ2ZwHZcb3rv9nL+nz4Vmw+GJh44wOZInlYly6bVraevKXOhhhd4gwiAnFPo5JYQgZbx008xnj9UheidY19Det8A3v3YXlbq+lDisQaK9SiLVYLyYZXmqxMR0BoCs2WTCjWGWfeq1KON6ChuN/XYri0cM2jQHIxMwU49xYLSD9Z3z1G2BND2ChsalPVOMS4P2dJ3ZShLZUIzMtBCZ90lZKXDA1xRuCjQVoHsSNR6nsmIR3a6RjNocne9i3bYH2dA9ycGxXv7n098mXm6wSa/wyOwybDdDqtugIvLIoEnaqlEpFQiCgKlmgZ9OnOCp6eN4qowmHGobHLSSZH7KxilKdEOnIjzK5ebSZhe5lHSsuYDn40uB8AICoRAeKFMhfUGgCQKpcP0As+ait0cwNI2mFywFdwAClA5IQeB5eJ7PVZetYP9DR2jtTGFaBrl2g9FjsxQLVQAmxgs8cPc+dt5/iIih05qLc+DJIRamiwysbGFmbIHla7sp5iu4jkuj1sT1YW6qSGGxgYhZHD80xcmTs3zk164nIuGB//04UgrSuThTQ3Pc85Wf8tF/+84XnJ0ZPTpFuVBlYH0PQgjy00UOPT7ENe+65GV3ir3egiDgx9/azZ5HT2BFDOyGw+Rong988jrSufiFHt7LCreQn39hkBMKvUUIIUBrobOlhT/9xDX86V3fp1k3iGVrdA/OowuPzp4iV5rTfH3sYkQjYHo+QZDQCJpLVX9dR0NoEjfqM9eMYRuKq9KTLNoWbs1gbXaeA4UW4qtKtA7Dh7YcYjLjce/wWqx0E1Uw6YqXaWBSqsVot2ostMaxIjUCqeFPmSgBlWKESNZlgznHhEqTdwS3X3KUk4e7OFHtYmNxjCOtSa5tGeVrB1LMLvMZH24gbJ/Gco2ewtM8+YM/5URdUveaSCPAaRo0yzoDvdPMN1qxBsr4Q0niFYvmnINZC/AN8KPa0q4qz8cq2uArFBqi4mD4GjYCaWgoCYEOygepC9K+hq9D1XdACXxzKcBREvRmQEpKsrZLb2uCk4kIxXyNaNyiVmkidUksEWFqosA3v7qTA7tHmBlfBAnHDrn4dYeDu0cwBbS0J0m2pnDdgIbtc/LYHA0Ffs2BuoPRdInELBYXqjx47wEu3tRLs2az/NSW9PbeHIWZItXFOrnO9PPfJz9T8sAPAgzN4I2YMlQu1jl+YJKW9hSpbIzADxg9Mcfo8Rk2b/85SEoOl6vOuzDICYXegtb15vjFO+s8PjeNHyh0FDHTw4sXyJkVpAhACRbcOL7p43aYNGIC3xNIAfgC3xTETRdQpPUmmVyNET/Opb3TOIs6a1or7Bgc5fFmFqEFtLdUMDSfK+LT7Cz1EJHwyW1P8dkjl7EiN4uwBGNWJ+uT0xyp5qiWkgwFXdQ0yXcPrmIwW6etqwClODPJFDHfId1ik/Zt6lM61awieVwSOakzMThIZHGUuSPLiGUC6g2deK5JoAeMz7fTFSkyP96OkXNYqEpEWpKoe5jFAFXzsWMSTYGHIFLzcC2Fbvv4mESbHo2eKELTEK5CNwSGLsBR6AHEXEkjofDjS1WTrWZAV0OxeXUHdrnOfd/YxSU3beSJnxxn9PjsUi+zK1aycn03P75nPwcfH2ZuLI/bdFFSoKRASIH0wPY8psYKOE6A73s4totSCk/oKMtAeD6e41PzmrgNh3rNRjc1pCZpVJtEExEqxRpW1CSSeOFKwSs39bHvkaMMH5rEMHUUcOUtW9D0N9YszjNUWCsm9BLCICcUegvSRYTOaJaO6CSFJhjSI6679MXKLLo6luUSVExcXeCkDOppMNIuy/VFRvLtCARm3MF0AxwroDtVYGV7kdkgRtRwuSw9i22bBAhywqXhCtLxGstyRW7PnmBmKMLmnlFuXj7E94s9bOmcoSE0EppPlyhhaSWOOv0sVlMErsb3JjeTjVbZePEEY2PtdOQWeGy+iy09czymLUeWNMwaeCboDYFeCjgx0kfMd2kuxoh5TeqLMZKmQzFuUs7EIa8hoyCUQHoBbkKi1wO0ho8VKPyIhooYBFUPreagEOiBjYoYRBY9nFZJ0vLZ0LfI6EgrqVSE5V1pDozN4BugBRrKgGTgcPXFbSSSMZRSjB6ZIpGM8JHfvJGF2TKmqZPKxqhWmhzeM8rs8AKO4y0VUQxACFCmTsBSbhAoGg2bIICe1d0UK03K5SZeIBCnihmiFKWFCu2dadZdPMDIwUkO7TqB7wdEExF2vOui04ULf1ZHXwt3/toN7N95nGbdYdmaLjZesep1fX++UqlMjNWbetnz0xPUKg0adZeuvhz9PzfJyeFUzvkWBjmh0FtQxuylJ7aVjvhxTH0OXSlcz6AUaDQbJm6gLc3Y5HQyyx2EVkHTFGvbp7EiPkcX21mXKTDrmAgvYPPKKboJKDRMuowGItBZdDUMEaAFcNPywxyutbE2lUfT4M7uEa7vnEHTfO7sP8ayRAlfCjzPZf94N27RwHdBNXyMksV8PUPdTWJ0ecy7FvmxDhq1CN9/fC2aKxBNiRFAMykIdIXmg+9AoIFWAVEXJBbBjxhYcYma1jEqCg0NEQ8wagplyqUgQQmEq5DKW2rGaUpkE5QA4SgC6aM1FKLq4kVcUmaBleuL3KckyWYBvalIqzjxqImwIVrxcQwXkuDaHkIKDFOnrSuDYer88OuPMzWWx3U8Du0dxa3bpxqCgpJy6X8MCCwNabsIKWjpzuK4AasuW8nE0Bz1w1MEjo9hCgIvQGqSaNTkpndsxrQM3vlL17D2kgEa1Sat3Vl6V7x0ENC1vI2u5S+cmPxGIqXkpndfTCobZ3JkgWQ6xmXXrSWTS1zoob0yYYxz3l3QIOcLX/gCX/jCFxgZGQFgw4YN/PEf/zG33HLLGccppbj11lu5++67+da3vsWdd975+g82FHoTkUJjXeZW/CDFv4z/PTW3TMPVwBbsHVkOjiQYlAz0RUin6hTqaXRKGJrP6p5p2uN11uZmWdtSIKK7CCFYrEX4xZaTtJlN5p0412UmMKQiYzXoCCRWxKNN89mSrLAlU2HeBdOTCOWzzKoTl7ATj55YHrPX4t69Lciijl4PEA0BNThxsgdPl4gFcDSNiVELEV1aQgs0EBFwMorWeI1Epsl8MYWsK6KTAiUUDSSRBghXRwYKLIkhQW+Ce6qNQ6ArhBJotsJJSvS6htAlKIWvaQgl8CyFMe9Q7o3xxIFerrpkhMiTNoWrNIwVAWvpZuvyXirVJsPHpikUa5QKVVCweusyBjf0AnD/d/dw7MAEbV1pZicL1EpL+TnKD1BKIYIAJQUIDaUt7fqSpoEVsxgcbKNWtYnELaKJCP5iDV1IorkoiXSUq9++ifZTOTe6obFm2/IL94Y7jyJRk2tu2XyhhxF6g7qgQU5vby9/9md/xqpVq1BK8Xd/93fccccd7Nmzhw0bNpw+7i//8i/DQlmh0Dkmhcbmlmux/X6+M3Yf07VZRhYMLCPJjus7uWFwBQcL+xir5Lm8O87V/TmkjGD5J7hY34fjV3GUj6sEQilqlklceow7cZZZVban5pACUprLSquCjYcK5NIMkYBJO42jmuysd+AXAzqVz4Mjq8jvjhK3XKyCJNA1dBlgNCQqADtv4GYVWkNgSAFNg8ARqAhIG2QdnJaAnlUF/HyEhQB8GSDdpSCIiIKGwHc1DF3hGoKIaGCkFKoWwxOgzKUt84anQBdgCHwJblsEhSCISeiTaEcVXgwqJZNDJzvQmxDZG9C4XHGwPENzDPpjCYyoSWdPK4aCdRt6uOjqNVhRE8/1OXZgkrnZMvPzFaqlBsKUmKZFs9IEVy3tzjI00AQ6YCajtHWkueH2bdx4xzZGTs5TLNQAOPT4ECPHpzEMjf5Vndz8nksu5Nsr9AoIdap9yFncP/TSLmiQc/vtt5/x/Wc/+1m+8IUv8Nhjj50Ocvbu3ctf/MVf8OSTT9LV9fIdfUOh0KtzafsAy5MfYr5Zpeq4xDWT1licjliCstPCvsIMtj+FEhpBUKNLs9FkiqjWRtSfRVHFCTTybg7Xr5DWXdZES0jAV+ABGiadmkuL4Z5+3Dbd5ljTZ7oieCxoo1DPMTnbguU1KU1mELaOJnw0oVCOIDAEZkOgIoIA0CsSEXUQnobI+AQLAs3XMOqSsq5TqCSp6wayNUCNQaAJPEtgNBQqCXoyoI4g0XTRV3s0no4SWGKpASqA66OVl1YE/KyJl7YQfkCj0yAadfDiEicJTMNcPo4SAqMEjXlJpdFkX3WCI03oszXiywOk0Ei0VbjkVAJvrdpkaqJAabGGEdGZnSuhvADiOvQkkbN1pK4RaU+SysRYM9BGd0+WG2/bSndfCwCbLn52m/QV161leiyP5/m092SJv0jOTSj0VvKGycnxfZ9vfOMb1Go1rrhiqVdNvV7nIx/5CJ///Ofp7Ox8ReexbRvbtk9/Xy6Xz8t4Q6E3k7Zogrbo8/MYUmYPm3IfZLbxNH7gkNEE7e49LJUoboLMIYIGltRYaTVRQqKpBhDHx6PmNdGEICF9OjSXqHz2T09XKEzdYEOywJONQWoNi6Yr0TUTqgZG1cfwFNIUVHIChCQAPKWwHIHug68JUuvnkEmN8ngcfcLAa+iMFFow0hK3KVjXMc9UNYOal6AkSvMhDrnOJsVilGZRx7KXao4oTSA9H6TENyXKX5oB8pORpbo4MR1fk5iWS7EtihcTKE3iNDWkrwikQJ+TGEWPQChsS+DMNdF6faykxQM/eJqJYzOs29RL17JWDEPDqzbIj1RRpxKMqShU0ye9Iscvffx6Vq7pZGBFG54bYEWMF53V1g2NvhXtL3jbzxPHdinnK5gRk9TPS27NaxV2IT/v5Msfcn7t37+fRCKBZVn8+q//Ot/61rdYv349AL/3e7/HlVdeyR133PGKz/cf/+N/JJ1On/7q6wub3oVCZyNt9rE6fRvrsu+hM3EzwlwNWgJQoGqg9YL1dqR1CZq1A/RLwNiGpi0npcdIyYABwzkjwGn4MOdH8APBxlSVCD5G1AMlaeRj2FkdPQDNB9kIUBEBFjhRcPt8pO4tFVKracyVMnQny5C1SQ6UCDSBgwZmQDTZ4LL2ORKbSjQ7BGZV0cwKRCKgo62IHYNaW5RmIYrSWUo4biqUgCAi8XI6zXYd39QQSmJWBdG8T8PWaXQb6PWlGSL8U89NgLnoY846GLUA6fiU81X27zzJkw8dYXq8wNz0Ik8+fJRHfriP8uwizUoDFfgoz0fYHgQB+IrC2CL3fX/PUgsKXScSNd/0y/ZzE3m++v9+hy/9yTf4X3/8dXZ+/6lwi/g59PDDD3P77bfT3d2NEIK77rrrjNuVUvzxH/8xXV1dRKNRbrrpJo4fP37GMYVCgY9+9KOkUikymQyf+MQnqFarZxyzb98+rr76aiKRCH19ffz5n//588byjW98g7Vr1xKJRNi0aRM/+MEPXvVYXokLHuSsWbOGvXv3smvXLj71qU/x8Y9/nEOHDvGd73yH+++/n7/8y798Vef79Kc/TalUOv01Pj5+fgYeCr0FCZlAxD4K1k1gXQPxD0H2i8jsnyGzn0Nm/gKR+b/BuhLMi5Hm5WjaMnxO72ymEcBeO44daNS8NN1xRXfExpMCPRpgW5JAAy8qTleElbUAHIWUoNUFSjlLlYkDgSyZLE6lcMdiEEi8hIengYMikmlQV5K49AEdLwsiKrBMwZGRToQKCHSJ0zSXlqkCgUQsbStXgsCUNFs1kALd9pEB6DY0ghhCgu4tVUMWAXiWAB+kJ9BrHpqtiMx7CCVo1pvYno8mBU7NobM3x+xEAXwIhEDpGhgSRUAgBSJQCMdnYijPl//7ffzgm09w/PDUS37ge66P43hn9foOH53m7m88wQ++/jjHDky8rgGG7wfc83cPM3p4glRLAqUUD31zFyf2jr5uY3izq9VqbNmyhc9//vMvePuf//mf87nPfY4vfvGL7Nq1i3g8ztvf/naazebpYz760Y9y8OBB7r33Xr73ve/x8MMP82u/9munby+Xy7ztbW9j2bJl7N69m//0n/4Tn/nMZ/ibv/mb08c8+uijfPjDH+YTn/gEe/bs4c477+TOO+/kwIEDr2osr4RQb7Aw+aabbmLFihVEo1E+97nPIZ9TfdP3faSUXH311Tz44IOv6Hzlcpl0Ok2pVCKVSp2nUYdCoRej3CPki1+g2niQegCTrolSOpaSZPwGHZEqQ3aGJwpJ/vHENhaOtKOVITLn0TLpIn1oRDWcuMDPmTRzCr3oIz2BpkmarYJY1MGNOgzIMke8VjxXQ3b5tKcWSesepuMz/FQfTlxiNkE4oBfBjwWoJmgemE3QXIVW9/EMgdHwKQ2Y2FlBcgKMqofQNAzTpdYapdoJ1ANyBx0CQ+CkNIxKgNYMiMw1CCIGWsNFNF0SMRM9HiWbtjCkZO22fuanSvgNmyPTs5S9OrrnEZTATiTRai5GoLCycTLZOIMr2oknI9z2gctYs7H3jOvr+wG7HjrCnsdOEgSKtZt6ufYdr76h5tCRab79lUeXEqCFIBozufVD21m3pf/cvRleQmWxxv/8o3/GihokTy1TjRya4OZfuJrLb9n2uowBXp/PjGce4wt//QOi0dfefqLRqPGp37r1NY1VCHHGbmWlFN3d3fzBH/wB/+bf/BsASqUSHR0dfPnLX+ZDH/oQhw8fZv369TzxxBNccslSYvvdd9/NrbfeysTEBN3d3XzhC1/gj/7oj5iZmcE0TQD+8A//kLvuuosjR44A8MEPfpBarcb3vve90+O5/PLL2bp1K1/84hdf0VheqQs+k/OzgiDAtm3+8A//kH379rF3797TXwD/9b/+V770pS9d2EGGQqFXTBhraW37K7TUX1LylxNXkmWyweXxWVamKiQtWJUoc1vnNJn2Cirm4XYF2D0aTlyCJpZ+UQkI9ACJxE8J3HRAda0LCJyyhnRhcTGCofmYTYVnSyqVCJPFFF5Uw+3xAYmPxDMEXlKg1QVmzUc2/KWcGCkIkgF+VFHrEDS6JFog0RoBSpMQBKxfPofyQHqgRTTsFh0/qqGkwI/KpdyeIEC6PkoHP67TNdiGiGtML5TJl+vMT5fZeNkgYkOayTWCwrY4+a1Jste7ZNc5uGkTzxS4BCSSETq6MzQbDnt3DTE9nmd2ooDv+QAc2D3Cgz/ch910CfyAnQ8eYecDR17163TwqRFq5SYDqztZvqoDx/bYt2vorF9/3w84+NQoj/zoAHsePYHddF/wOCtmEolbVBZrKKVo1m1AEEu8sv5sb2XlcvmMr+fmpb5Sw8PDzMzMcNNNN53+t3Q6zfbt29m5cycAO3fuJJPJnA5wYGliQkrJrl27Th9zzTXXnA5wAN7+9rdz9OhRFhcXTx/z3Md55phnHueVjOWVuqCJx5/+9Ke55ZZb6O/vp1Kp8E//9E88+OCD3HPPPXR2dr5gsnF/fz8DAwMXYLShUOhs9GWup5PDeLW/RBcAEgNoKKgGgkBA1PQQnTVwDKgkqHUZyCkXLwH6QB1d1ynKBL4p0RuKIOfDvMCXAjUfoWRpMK0TxAXUJZ3JGmXDJBlrEEiJ1uRUATaBH1FoNTAiAU1PonkKFSiaW32cBYNaj0SzT21NF0uVhIUAU/OXqhH7AlyFFkgCoVjaGw+BAE41snSTJpoQDE+XiJgaVtxE606zbPsyLrplPd+8+xBBU2HaPk5GZzyX4+rEBD9ZWIlX97AjGlPVMtqeURLpGPseH2L08BRCCFas7+aWD1zG2NAcSkHbqZo4rusxdHSKa9+x6VW9Pr4fIOWzOT9Sk/h+cFavuVKKh77/NLsePHL6XCePTvOuj16BaZ758WNaBte+b/vSktWhSYSUrLt0BWsvHTyrMbyRnast5D+be/onf/InfOYzn3lV55qZmQGgo+PMQpEdHR2nb5uZmaG9/czkdl3XyeVyZxzzs5/Rz5xzZmaGbDbLzMzMyz7Oy43llbqgQc7c3Bwf+9jHmJ6eJp1Os3nzZu655x5uvvnmCzmsUCh0nnjuQYzntF6WLJWuaSKZ9HXe3XqUuXKKWl3SGI/jGxr1PqAhiEXLeIYkEC7K1zBMm6BpoCQopYECF5N43cfJCoQj2RibZTqTIKn5BLZEWKDbS+0SkKAMSPfV8Gtx1IzA2dak3qbhRjREAFpjKVlZPJNYrBRDJ7MEGYXwBVrZB1cgdIHW8IkueEu5R1EdPWsRWDpaI0ATPlYmRs9AG/HeFGZLnGrgMdtskuhxUIHEVC5Vx6KWkHhxhW5p4AbMRDzqQZn24SotuTg93Wk8P2DPo8dpaU8SiZj4rk9wKgizmx7R+Av3pXopK9f3cHTfBJOjeaQUBH7A2i1nt3GjMF9h766TpDIx0rk4zYbDsX3jjG0fZOX6nucdv377KrLtaWbHFojELAY39WFGzBc485vFuSl5PD4+fsZylWW9+tf/zeqCBjl/+7d/+6qOf4OlD4VCoVdBKQc92Hc6wAFOty+I49Ov+7Qlfa7OjfETdxDH9RFCR2sJUMMa9ckYTlfA1pVTPDXRR7TFxvGX2jgYTUEQXWrJoFwbpTR0Bw4Xc2zrHqcc5NAcbalreGPpsaULwvTZcMkMD+xcg7vDxYsaNF0daYAxDdE5hVX1kf5Sx3HhKipzOjIO0XEbq+Bjp000TyCrCs1RaK4PKJz5Jn7SQLN0zIRFsiVOtdLEcGMYhkYuFiUgwHUNIpqH6xrouo+LRjOpEdGWuqGnHJuplRG8hse0Ljn42H60kQpSCfKzZf7Vf7idtq40IydmEUAqG+fSHWte9euz4aJl+J7PvseHCZRiw7ZlbDnLTt6u4+G5PqlMDAArYhAECtfxX/Q+XQPtdA38/G+Ffz2lUqmzzh96ZuVkdnb2jJp0s7OzbN269fQxc3NzZ9zP8zwKhcLp+3d2djI7O3vGMc98/3LHPPf2lxvLK/WGy8kJhUJvUv4MmvJOxzjq9H+gVQ/oNV1ahcPNrdO8o20ML+GhBaALHxkoAhUhnoGVy2dpic4T1ZsYUUAplFAEBMiyQmkmZlUhawEj9VYGrQrL3Tq3rZnFMCGIAQaY2QZbbx2hmE/gmSZWPE1UJrGEhtUUpBYCYiUfzeH0uoB0FcIFfJ/InEtkwSayaIO/1HE80CXC9hGOj3QVSgkcx0ekTMqVJqVqg3rTpea4jI4VWN/SQ9PTKTsWvgbt6QpHxzsIEChNgBTEE03SnTVKvYrKyiqFTovFFQlcx+XE4Um+8vkfc/uHLudtd1zETe/axvs+voMVa1994VQhBFu2r+AX//VNfPy3b+aSq1ejaWf3EZFtTdLRk2V6fJFSocbE8ALZ1gQdPZlXdZ4gOLtlszcsdQ6+zpGBgQE6Ozu57777Tv9buVxm165dp2vXXXHFFRSLRXbv3n36mPvvv58gCNi+ffvpYx5++GFc99ncq3vvvZc1a9aQzWZPH/Pcx3nmmGce55WM5ZUKg5xQKPT60XtAnNoWDqdndSyp0IUgpkFPpMF1nWMYLTYiANEEyVLycTZboSdT4Rcu2sfHOw6gaoIg5eJHfUh4mKZC6TpGVWKVQBUiHCvmODSV5LLcES7pXSCbMTEjAYk2h9a6T9xIkV5jYloaTt1FTvpQDcAHX4Pg1EClHSDtABRE51xEIFCAUfbQ6z5ICAwJhnY6VyKwJATg6YKWdIzW/gy+AUcn5vj2wwe4OLoM0YyhiQAr8JkayzI9n0QEPk5CQyhFakWNjkwdWxnoCRezr4nXGsVpj4GhsefxIf775++hb3UHV96wnt7lrRfghX1hVsTg1g9cxsp1XfhBQEdvlls/cBm5tlc261ApN/juNx7nC39xN3//xfsZOv7q8jFCZ6pWq2ds5BkeHmbv3r2MjY0hhOB3f/d3+dM//VO+853vsH//fj72sY/R3d19egfWunXreMc73sEnP/lJHn/8cX7605/yW7/1W3zoQx+iu7sbgI985COYpsknPvEJDh48yNe+9jX+6q/+it///d8/PY7f+Z3f4e677+Yv/uIvOHLkCJ/5zGd48skn+a3f+i2AVzSWV+oNU/E4FAq9yWmdYN2M8IZBVFAKBArtmfwcITE1mK7EkFpAPO4irCb+jI4yBCLp8r5Nh9ieneZpL8vFy/K0zzQopzVq9QReq4/nCYKGQDbBqoGpu9wzupoW3abmz9GaneHR6SRS6igZ4fbNSTa2zvNPx1r4u506wbxCeBIhBJrto7sCzwLRVASmQHMlygkwawG+LhBSIHyFbgd4QqJ0cap+j0KZAt8C3YdcZ5J33bCNh4+P0ppZ6lBebzqMTBb41GVX8jdP7GK+5qFcUAS4LRpBzSeZqbHsonl2Hx5A6RK/pGMkHNwgQpAyUU0XJQWP//gQvufz6T95L5nMa9+SfD60dWX40K9fj910MS39jLIgL8X3A+759lM8/eQI8bhJYa5McbHOB39pBx1dmfM76DepJ598kuuvv/70988EHh//+Mf58pe/zL/7d/+OWq3Gr/3ar1EsFtmxYwd33303kcizLUK+8pWv8Fu/9VvceOONSCl573vfy+c+97nTt6fTaX70ox/xm7/5m1x88cW0trbyx3/8x2fU0rnyyiv5p3/6J/7Df/gP/Pt//+9ZtWoVd911Fxs3bjx9zCsZyyvxhquTc66FdXJCoTcOFVRQtX+G2n8HagTqVDsFlooGH60l+fL0alJWg/sOD+J+vw2FxG/3+OtPfptI0iYpXf7XyfV8bMVB/u1DN9HetcjDu9ejJWpoBDSnUxiBQitpRC8vUFEmmRlFOl1ndXeFu8cHSVFn0U9wfXuD//KOOU7OdvHrX05RD1yED9H5AHNxKeE40EEZEt9U6DWFUfPRmj5uXMNadJbGnrDwYksf3ma+iXR8Gm0mTqtJSyTGJz52NYl0lG8++DQDbVnaEnE8P+DA+CStF8FRZ4ZSzaXNzTJ6aIK60shaNa666ATBgsX3H9hCs0UQbysTL3oET8aIrSrjPR4j8BSi4aBZkvf88rV8/FevIxL9+U/WnZle5I9+/e8ozJXRdElLW4pcZ5r3f3wHF51lrtBLeT3r5Hzxr7531nVyfv13bgs/315COJMTCoVeN0ImEclPEug9UPsiTSdPzS2jS4+hRoKvzq5izo0xVE2wsV3nc//tOzS8xaUEZRXQAP5hdD3xhEfBlkRa66zM5tkZ84nkHBg3aOleYHPLPPcc3cSWzjn2TPfQrGpwX4qHPpDEL0vsrGBVbIGZGQvXc4jJGG0zksV6gPBA+oAUCDdA+OAmBG5cIAOgGeBbEj8uEVUNZYHX7ROkAvSTINyAWreFlzKJKMmOS1ZSlh4/OXyMGa/G2EiJ1bkWNFdRtirkYhHSxCnbeQpOHhXEUZqDEQmYOdnK0zuX4SUFfspD1z3kYR3hKuKra9QmdZpTJpotUQ2Xg0+NsOuRY1x788aXfiHewKqVJjsfOcY//Pf7mR6bR7g+Qkpq5Qa1yqurdvuGd242V4VeQhjkhEKh152IvANkCll7gIOV/Txa0Hi01Irt66StGrlIgncNfBQtvgzReJTR0ghPLGZ4NN9Fa6zK9pajTLhRUDoLzRim8IgnHDb25Ikna7xt7Sj1Soq2WJUh32ax0YmZbOIdDlCtPg2lE1MeWlyhVAbDupJc6jDlUnOpZ6IAJRVSEwgUvrWUBKxUgG9I7HYdI2sQ6zFwWwNUv0/Ds3GyOs50GmVIoo6g1dcZ7MnyxPQsHakEcQwOjc8wXilzyfJOtK4yyzNtxI0aI1OLVGQNlUoj5qKUjhs8JVvxTYGXDYhIm8hPTMS0RGY8NBOUBVLTQLhoAcQtg6nxwoV+eV8z23a565tP8OhDR5iZKYKuL7VIsz0CX1At12k/VQ/ozeA51RRe8/1DLy0MckKh0OtOCAnWDqLmVSzTRtnl/JA+NYNSdVqNfi7KvZ0b+jcgtS0kEr+BpX0Nml9hS+dJWqwqmoCZZpKSHePATDfZaIMV8QVWxCtcnJ2ny6pzZf8oWqrKruogflLgpXWsiTotGypMEke5ko3982Ryf0ROrqS3f5bx2SK+G6BQBBqoiISYj2F5EIAf0UBo+EkJ7VDepnFlzwAdkTg/fOogxWV19ILEqIKyAxzpse/wFI12GJ2rU1isQeCjR3V2bFnGI94iZa9O2rBIIrBElL5kJ6IC0xTQcgbNTEBhapHITom0FZiK+GVFgqZGUNIRboD0fFo60qgA0qe2a79epkYWGDl6qkDhhl7ae7Kv+VwTYwWGT8yB68Opis7K0JGuhzjVuDTX8ibvTB46p8IgJxQKXTBCCFakl/O76z9G3p7CCxQtZjdJM3HGMatyHyTwPQ7O/TNNx2bMTvGjyfWU6hHaohXWrB2iW2uwIl6m2yzTZ9ps653Gjbj83k0P8ZkfvR2wUCmNzmSZedtEszyuWeMjZBeaJrnkouWMzi5iVx2qtQo2PlbEwYko0i11srky+w8OIqIBmgd+XlIsN/mJdpJLOtpZ3dPK8fF5XFuBJ7EiOhtXdmM3fRYnGxTdJrl4FDtQqLrHzOEyl21fzc78Uea9EqYu6Cl0sC3SSyFVRWQ9rrl8FW9722Yee+QYO3cdphDMY22oUahGWXjQIJiXCMdFKmgIQSQdpa01yeMPHSGeiLB6Uy+Gef5+zY8em+E7X3qYxYUKAE/95Cjv/sS1dC9ve03nC4IApRSRmIlAPFsbTQhQimjMPOsqzG8o6lTX2rO5f+glhUFOKBS64KJanN7Yqhe9XQjB2vZfYNG9jG8ee5inF0ZxfIf+9gLLMgtsjU0SqBiXJQvUXAMhbFblyvgKpObyC1fs5ofxVTSqJk3HYEW8xLvWjdMW0Ziu/ZDe5PtZO9DBypXtFIujuHYFx7e5fP0YRAKO1g3iqQbjk+3g6rRnqhyfaMWd1aiYLkfLk7RYCa5ctoqj2QJ+StHVnqavp4WpmSJ9hkbNd3CEImtF6DGiTE+WiD/VSnYuR7zN5OKOtRwdmufAwgTTU0Uips7+PeNUig3e94HtvOO2rfjKp9ys8jf/z92I+gzVVBPVdJExRduyFhaLdb77z49hahpSCjZdNsitH7wMzwt44uEjTAwvkEhFufSaNXScxYzLM5588DClQpWBU3V5Ro7OsPeRY685yLE0gT1XZHFkHt33cDUdfB/hBRiWwdpNffjemyjICZ13YZATCoV+blzRs5r1rf0MlQ5SrP8jTWc/UVHDUAbrItP4ymcg6uAoiQl4Atp0j+50mXduHubx6RwzsymWpatcnO5DmFnK9kH8xDtZP9DJu67u5Ns79zBb12lrL7NsrU27Pk2QT5NvRhjoWEQH/EBneUeJIS+H6Ui0RhO32mB1Pc2kWWNqocToRJ7pmSJrBtpJp+OMz5VoMS0GUznmp0tMLhQoLlSJRHTyYzUymxJ88L2X8tV/egzaA9at7UIKycjwPPv3jbPjmjVoQiNlJIgLndUDbQyPLhBpT1FbrJOORxidLpLpz7F8VQf1qs2BJ4dZf9Eyju6fYPdPjmFFDeyGw+ToAu//xLXk2pJn9Xo06w5WxECIpewQw9Ro1F59c0iASrHOj7+6E1G3SUQMnIhOteGgmSap3hydfVnWb+sn+Tovx4V+voVBTigUel0opdiXn+FkKY8pNS5q76E7/uq3vaatCNvaL0apzajmPVD/B/DnCQINFSziK4FgqT1VoCAqwA4El6Tn2FXNUD0RJ06Rz+3v4LcvdhBiqdSgEIKCVaXQ5aOJKFNuku/PdPHh/hkipk9jJsZ1q4dwfZ39Yz3UoyZSE7RXNCKVACE8fvydx/CSMQbXd1EqN2g0Xcqey2LTR1gaw/NFFhbrbGhrpeEHLFvWgqZJqtUmJ07OcfWONWSSUeIRA8NY+vWs6ZJ6wzn9/KUmybQkyc+W0XVJrdpEKYXrBygFyVQUpRTRuInvBRQXKhzbN06uLUk6FycIAkZPzDF6fPasg5zla7sYPjxJfraEUgrfD1i25tVXW3Ydj3u/8Th7dp6gq7+FFRt6sBsOMxMFulZ24QfQO9jG9bdtPesqzG8o4e6q8y4MckKh0Oti58wYXz++j6bn4auA3XOTfHLjZa8p0AEQwkBEbyMwrwVnF9Ifx63+DwgKp2vvSAULXpyk1iCm+RSIoxmCghfjSLHO8UKTy3tuQpNRvCDgkekaUcOiO1YhUBYHC1EOLXZTKhmga+hZGytwWV4vcWi+h3gUpFbBSpusKnYwFy3RyFcY7FxHZHU3Q+PzTJWrrO3vZmVvG4ulOlP5EmvW9nD4yZEzno9SCikFy5a38uQTwxiGjut6SCnpfM6OIiEE192+jVq5QbViU6nVsFIRYi1xuoFju0c40HQJAkXP8jZy7S9wfc/Rh+Ol16/HbjgcenIYgGtu28q2Hatf1TmCIODebz7BY/cdZHGhSqPpUSk16F3eQjIV5X2/ei3Z9tQrLiL4cyXMyTnvwiAnFAqdd0opHpg4CQjWZNsIlOLI4jxPz0+/5iDnGVJLQvQmAHRzB3NznyQhpgkQTHsWP622MBhdAKVRaMbZ0J3nZC3FQKLCI9MruGP12wAIlCLAQDdXgBgh8GrMFXS+tmcdiyeSCBTz18QYWFngocU12G6Wrbk09SmHAaeTnnqOesomv1CmWm3iSIFt+0SiBpqUaJokl4lTbDTp7c1QmsoyOponEtFpNFy2bO4nl0tww40bcB2fkZF5NE1y1dWraetJU6o1SceXqr32Drbxwd+4kdmJAuVSAysZIRYz+f4//JSRPaO4tosfBNRKdf7nZ79NtjPLYr5Gvdqk2XRp787Q1ZdlfmqRaNwikX5tS0CmpXPDuy9hx61bEYLXlOS8MF3i0FMj9Ay24zkupXyVqdE8getxxds3k2l7kwY4oddFGOSEQqHzLlAKx/exNA0AKQRSgBv4NNw8+/L/k3xzkrZIF5tafomI8eqXPAA0cxUi+7+4a/z/pOLN0wwE/VaJtPAYarZCUTLYt0hhwaRDrzFe1kBpPHVgjMPHp1GLNtNWgNO1lkf2Hadc87EWBFp0aW5o9yMrecypY6sIqaZDfg7Wl/vwjlVYSC1iugErNvbiaZKg6XLFRQOUcTkwMku5ZlKuN+ltTbN2eQdrutt4bNdJiqU63V0Zrrh8JZomSSQjvPt9l1KrNVko1/jh7qM88L1xTF3j6k0DXLt5BUIIMi0JMs/ZTj09lmdyZIFYzMTMxSjlq9RrDvsfHyKaiNLanWHZtWtp787S0ZHiC3/4z8xP5IkmI9z2K9dz3bsvOZ1b82qZ1mv/KPE8H98LyLREWHvRABMnZpmdXGTr1Wt5+0eueHMtT4Ved2GQEwqFzjtNSja3dvGjsWMoBbbvETdMehJRvjnyf3CyksdVEsEUR4pDfHDVf8LUMq/psTrjg9zR9yuMLn6e+cYUTqCoOlmmigl+e81+7lns5W09o4yVUzhBC7v3j/H9+/ajUOAHxFyFHpPU8gFGVSB9gdKAANwoNAomfrtPPG6xYNc5nIvT1p5CLQYM9C9jy3Xr6ezLYRo62XSMmu1Q+8Hj7Do0hhTQk0nhOD5drSlue+fWF3wOUgpicYsfPbSXk9N5elrSVJsOP9p9jI5sknX9HWcc7/sBT+0aYnKqSL3uIGo2TqVJ4AeAwm66TI0s0LdikQ/9q+v4vz/2BUYPTRBPRanky3z1P32XrmUtrL148DVd87PR2pmmZ3krQ0emSefiWLEIF12zllt/cQfR+KvrU/RzJ1yuOu/CEDkUCr0u3rl8DW9ftpqYYdAVT/LBVVtAPMmJaoGSHUMFMXylsb9c5lD+x2f1WMnYDWxs/0Ou6XgP/VYndd+iIUweqXaRjdqsTS4y1Mzx4dWX8fShcaQU9HfnGOxrJadH2Srbic4IIppHpK2B1dZAj/gEpgIh0I2ABh5F1+bk4gL7I3me6Jxlr5jkO3c/zcMPHyEeNZFSUK40KBXrDLZn2bK8i4VClbse3IfteC/5HGoNh9nFCh3pBMoLMHyo1mzmS7XnHXv46TH2PjFEtjWJ5wbUmx4eAuUHKDdA0wSmaXD84CRPPHCYmeE5su0psu1p2vtbqS5WOfLE0Fld89fKtAxu/cgVbLxkAMPQGFzfzW2/cCXp3Bur0Wjo51M4kxMKhV4XEd3gPSs2cufghqVy9kJw7+QPcX1JTAdDAkJSDQIm6iW2nsVjCSHAvAzNuJQu4yPsaX4Rx5ylS6+xLTbPsfJKPrTil7lhcAV/+/jM8+4/my9hej5qxkdlBMqSaHEPIxFQT+noQUDVcyAQGATUfAdLenT3FVntJjl4aIqB5W1cdskgM/kKlbrNYE/LUndzTTJbqFCsNujIvfjupoipE7UMTgzPUc/XaboeroSZ8UXY9DPjnSoS+IrNlw2Sny5SXKwttabwAwTQLDfJ9UQJAsXJA+M4ro+q2sRTMTzHRwiBeQGbeubaU7znV68lCIIw/yZ0ToVBTigUel3J5+R9tEfWI8X9+MpBIQAPz0/QHt1wTh5LCEE22suHV/0edvMRDFUiEF3IyA50LQrAlvV9TEwXGZsq4Lo+Txwao2zbKAQq0JFTCj+mUKtBdDtIQyEKBq4ZoKQksBSe0PGUhkcTcmPY3iALi1VgKViRUtJ0PKKWQbXhYBo6kZdJ0jUNnYuXdbNr10lcFWBFDHKBxvi+aRavqJHNPjvTEYmZBH5AECisiI4UAqFLvFPbzALl4zQdTFNn6MAkVjzK4myJZs1Gk9C/upvL37Hl9PmKCxV++v09zI7lyXWmueqd22jrPvvigS/nLRfghFvIz7swyAmFQhfMpuwV7FnYy5HKThqBj+unWJG4iovaLjunjyO1FqLxO17wtos39aNJwU+fPMn/vucJpGEjlY7nCwJNoCkwigr3kET5JiorcKXAa/fRmgrPEgi1FE0kjSYj+SbH59M0h0/SMpplW38Xm1Z0se/4FACmoXHz9jWkE9GXHXdnPE4/UTLdSSKGQcYwmZ8tUyk3zghyNm5bxrGDU4wPz6GkhgoCTAFm3MI9tSyWSsVI52Ks3trPig09PPnAIZQXcMl1a3jnL11LMhvn6P4JKsU6T9y7j/mxBRLpGGPHZ5gemeejf/BOUrmwb9S5JJRCnEVezdnc960iDHJCodAFI6XGL676DZ5auI7ZxiwtVhcXt61Bfx3/opdSsGZlJ3/zjf/GJz9wgqjlMV+M8d0nVzMxk0QjWOpGbgOHDKIJQWW7D0riawESgUKQ1AMiYpH5yT66V7dgtEW4a98hulJJ3nvDFtYNdFBvOrSm4/R1ZgmCpbo4L2Z2psQD9x4kP1GiPFtl1ZouisIlHrdIps4MkNLZOO/7+FUc2jvKI6bGI+PzOHUHyzLI5BKkWhJsvXIls2N5pJRIS7Jqcz+RuMUv//F78Vyf73/tcQ7tHaVaajJ1coY167sByE8XGT44gVN3+PAfvJP23tz5fDlCoXPqLTY3GAqF3mg0Kbm0fSO3LbuRKzrXY57aZv56+sbdd3HTpUdwojDkJGntqHLHZUeJ5mycVg2CAD8i8XWB7gq0moZZEGiuQK8ItKog5ess1jbQt+pKVl/UQ18uTdV2mK1UsUydbWt66e/M8uDuE3zuqw/xN//yKGPTiy84Hsfx+MF39zA/X6F/eQuO47H/6VFsx+OGt208YxbnGclUlHqhSi1f5dJr1tDamUYzNNItCd75C1dy+c2b0A2duYkChbky5WKdwQ29CCE4fmiKg3tGT+10yqGAkydmOfb0KE7TQdcl06ML/PAffoJju+f51QiFzp1wJicUCr3lLZSHmG5P8lilEw/Jk6VWdqRmyLY0qeRN/CiIAPyYRPMV2iIYZUkQBXzQywE1obF/U5RKV5FLSNCwXXRNI24uJfRW6zb/cv8+pufL5FJRRqcL/Mv9T/PLd2x/3tJVuVRnfrZMZ1eaaMykqyvDyPAC11y/ls1b+1/0eYwdmyGesOjoa6Gjv4XhQ1Os2tLHOz58BQCNapMnHzyM7/lcesN6rrl929K/12wCPyAas7Asg0jUYGIkDw0by9JYvqKVZWu7mJ9cpLJYo6Uzc15eh7eccAv5eRcGOaFQ6C1Pa8ux22khIn0M36UpJE84bfiWwosL6p2C6KxCmQJHUxh5DcMFPwBchVVQKDPAsAWj9iLNKZdlkRyXL+tlTXsrALOFCrP5Css6M+i6RioeYXRmkdlC9XlBTiRiYpo6tZpNLGahGxrJVIT29vQLjP5Z8XSM8RNzKKUwDB0zYtC1rO10Qu9lN23k4uvW4bk+E2MF9u0ZIxozSWVjWFGT+ZkS9UqDqYkigR+ghKDpBiws1OmtNjEtHesC7sIKhV6tMMgJhUJveZduvZa7HznB2tgiCKj7GsfKOVbkyowGKfp7y0y7WVTOQdkmel0tFQhEYDQVflIi6gG6D23JJBGhc9uK1Wzp6Ty9m8w0NAxd0rBdkrpGzXao2w5HxmZpui4ruluIRy0AEskIl1+1igfuO8jI0DwIWLm6g/GhOfY8doJMLsH2Hatp+ZkGm5fftIG58QIjR6dBQdeyVrZdveaMYzRd44lHT/DgvQdxHQ+BYO2mHq5++waeeOgYw0emCVyPVMLEdzUadZdCvkp+rsIdn7juNbeACL2IcDLmvAqDnFAo9JbXFs+womsz+0cPYiqfkjBICpejtRYSPVV6WheZsKN05uqMTbYSNZsYhqK6GCUQCiIC0w4oxWsUFlycqs/oYwt0azHecdl6PnzzRXS3pdm6uofHD44xU6gwPFug6rkc/N5P0ZVgTVuO91y7hasvXomUgu1XrqStPcXCQoWIpXNk/zg7HzxCNGZy/PAU0xMFPvhLO0gkn50F6l3Rwft/8ybGjk4jpGBwfQ+Z1jMDoUq5wWOPHMOydHr6cjQbDgf2jDFycIJqvopyXPB9TDOKsAz8QBH4AdfecQmX3rTx9X5p3uTCPeTnWxjkhEKht7zVqXZuXb6V4focs8VFNAcWmlHia2p0xmyE7+OkFSUMtvRMYicd4tLn4AMDKEtDAdaWPF5rgsZCFFXQWFA21XmbyR8+Rslucvs1G3n7lWtZ1p3jgb0n2DM9g635uK6PFILj+UV+8JNDZNMxNq/uQQjBilUdrFjVwdxMiR/d9RQd3RniiQi+5zM+kmd8ZIF1m/rOeC5tXRnaujIv+lztpovreKROzcjohsbxA+M4pTpRQ6NeswHBQr5KxNAIAkV3fwuX3bwBtVTwORT6uREGOaFQ6C1PCMHN3av54fRPqDBNRDhomsJHwxA+eQyUCW4VrlkxQSHt4QSC6ZZ2ZmtpjLqiYUSIWHV8x6DR1FEGBBLqts8/P7CXE3aRrX3dvGfbBoq7D+LqCsOTmIaGg4+Nj+26zC5UYPX5e66pTIy2jjSjw/O0taeYHFmgVm7QlomTzcWZmVqkWmniRw0qUhJxfS6/fQtf++aTuK7HmjVdXHPtWizLOH+DfKsIJ3LOu3ALeSgUCgGmNEgaBlHDI266WJqPKTx8JemNVLEISJt1BlN5+mJVLN0lmq3hmz52VlCsxFDKRdc9MAQiWDpvoINSCi2QPD4yzv/v2/dzYGKWhutS810cz8PzAnQp0TVJ5AWCh5bWBINrOpmdKjI1UWB0aJ6eZTn6lre++udp6txy50UMrGin2XCIxixiusSyNBYXq8xOF1FCgCZREZ2mpfOtLz/C7NQizabLI48c4+GHjpzt5Q7Bs7urzuYr9JLCmZxQKBRiaTZna2YlTxcO4ysNgcL3NdrNCltj8zzSHOSqwXESmRr3nVhDRi9g6wZ44EcUCB1nLIEeKFCg10D64OtgWDq6LlnI15l3q6zqaqXadCjWGjR8H11KWq0oq5e1s3lN9/PGpukat9x5MbmWBDNTRdLZONt3rD4jH+fFTJ2c5cn7DlCvNOhb08WlN2+moyvDRz9xLbVqExT8+R98haHD0xRLdVCgpCCI6KDpKKBZaBAzNdraUgAcPTrDjTdtfMlihqHQG0EY5IRCodApt/Veyt65uzhUBpSg1ahzVXaci81FWo0m7+icYrwZ46mJXuqja/CLOkGHRHoesqHj1WJocR/hLK0k+AbgQ9QWGEJSbdr0JdMsb89i6Br7RqfJxqJs7urEkBIzHeHgxByXrepD186caI/FLa5/x+ZX9XzmJwvc9cV7yU8XMaMmx/eMUi81uOkjV6HpklRmKS/nN/+v9/D3/+VuHrz3AEqX+AkLninKKCSg8N2lqSnX8UmltDA355wI16vOtzDICYVCoVMSRpw/WL2W+6b+N/OeQYdeZ3NkkagS3Nw3Qnesyj/s2oqvNMoiSsQJMAsKr1fRkm/StAVO1UJGFUopMCUxBHopYGG6zLJchqjS8QNFwjLpSCXYsXaA+VKF4UIRs1ph/8QMpXqDWy5ae9bPZ/jgBAtTRZZvWEpkXpwtcejxk+y44xKiicjp47r6WviVT9/G0yMLzE0tItTSEhtSQLAU3MyWqsztb5KMW1y2fcVSp/fQ2QljnPMuDHJCoVDoOVri23l/y9eoOqMEQhIg8APBr6zaz/5mmkcPrsWPBAgflC4waj5OVNKTm6W8GGN+IYJZBzcp0OYDaislSnowV6QzlsPTAp4enmImX8HSdB7ZM0Tdc7ly43I0TTJfqvLkiQmu3bCC2Fkm9z4ThzyzK0qd/vczA5Rapcm//ONjuMUGmuOjAqDu4kc0tJpN6+oOSmUbMxoQiZk4rn9W4wqdojjLisfnbCRvWmGQEwqFQmdI0lBVojpAgBfALCaTboy10UUM019q8dBQ4AMeaErR0bFIdT6KbiukD0oDFSjUrE+xA+qlKtMzDXJWhF4rTX8mzbredo5PLTAxUaJQrtOWTaBJia+CpZmUs7R8fS+t3VlGD09iRU3cpsvlt27FipnYTZdSqU4sZnH04AQ/eeAQpUoTJQRCChACvWqz5Ya1TJcalBfrVE/WOO77PPHQUS6+eDlX37Ceq69d+7yGoaHQG0UY5IRCodBz1f4WPSif/taQIGoG406KakXS0bnIyIk2dD9AKYHm+Hiu4P7ja4i4EoRCOApDgW8KzJrAEQplKBwjIN9oUMVlVaadsXqZ7pYUw9MFhmcXcVVAtWlz1brlZz2LA9DWk+POT93M7vv2Uys36V/TxSU3b2JyvMAPv7OH0ROzFPMVyqU6M/kqXtoABaLhojugDJ1Du06isgnshgeuhwI8A566/xCe41OpNHnfB7aj6edms25xrsTO7++hMFOko7+Fy995EYnM8xuShkKvRBjkhEKh0ClBEIC3n0AJ3ECCAEMGpEwHdybCQRmj7miomECVBCi51Ltq3EBmbKqGTkxTYIFeCZCajmMqtJqEQOFbCtEMUFrAdK1MwWvQbSQY6MjR05UhEjG4Ys0yrt/8bM6L7we4ro9l6a84D8axXYQQGKZO92A73YM3nr7Nbrr88Dt7OHJggoWJAqVKc6m9Q7WBwCJIWghfw7VA1sBZrKGiEVAKP6KBJhFuAG5AcbrEyNA8hUKVtvbUWV//RrXJt79wL4d2naBes3GbLgd2nuBT//mjWJE3Yc+ssEHneRcGOaFQKHSKEAIlIkihqAYGPpAUHvVAJyY8phtpFqpJgqgi8DxAgNCQFQd8A10F+KaOancxvKXAxu5U6FVJEANXKDQB3e0pUrU4hUaDSa/Cpy69lNsv3/C8LdnHj89w//2HqNVs2jvSvP1tm2j7mX5Vz+U0XR7+zm4O7x5GCMGWHau58h1b0HTt9DHlcoPZ6SLz00VK5SZ+EKA0idIFWsMlSFgEhsRNaBgKtIaO8lyUpi19GRI0haYLvFPVmsU52ko+fnSKx+87wPxsGd8NMAzJk/ft5/6vP8YtH7vmnDxG6K0lLAYYCoVCpwghIPYBmr5BwnBJ6h6uEhxvptlZ6mLGjuMA0vDp6ZvDjoCrIDkZIPMCY2EpD8cX4EfAN8HtVAQRcHOgBaBFJGtaOrl4dS9r+toY6MixsacDzzszmXdursx3v7eXufkKUpMcOzrD976/F8fxXnT8u+7dz2P37EP5AZ7j8fC3n+Lpnx4745hYzKS4WKNas9F1idQlQaAQQkPpgsAQ+KZECUATBBEDaXt4pkS6PqLpEugCP2aQbE+wdkM3uVzinFz/kwcmmJsu4TkeVtTAD8BxfQ49cXJpli0UepXCICcUCoWeQ0Tfz5fGt3KilmKyEeeJQgdfn13FYTfD9t5ZVvTlSSRcoq0OiUQdoero9QCr7GM0JWZDIRc1mlmJ3adAgNaj09EWZ3N7Oy1mgvl8g+lqhan5EvZoja9+dSdf/fpjLBZrp8cxPVOkVKzT25slk4nR2ZVmZqZIsVh/0bEPH5okErPIdaRp7cogpWDs2PQZx8QTEbq6s0QiBoFSEIA8tfsqiBhIV6E1fYy6j2wEIIC6iyRAKIEMQHMVy9Z18eFfvoa337LlnBUFtB0PM2oSeAG+5+N7HpppYsUib86VmbDi8XkXLleFQqHQcwgheLy6he8udNIibRq+Tk3qtEUa5HSXjbk5tLYpmo5i5ulWkvMKXIV0A3xdIlyB0RTYaYHb66P5Jv3JNDu6lmMpjaNqnsGuFkqLDTJ5wZaWVizD4MTJOX58/yG6erIMj81TLjdpOC6Os5SP02y6GLqGaerMjBeYnShgRgwG13VjRZaSlKMJC7vpopRCKXAdj0jMet5z3HbJAPMzRZQfUCk2aNRt0AXjhSrK8RABaA2FLwNkxUYECq3m0bmuE8fx0RD86r+6kSsuX3VOr30yG6dreRszAtymi24ZxLNxNl2xCk0L/yYPvXphkBMKhUI/47aBy/jSse+y4EdQAkzN5/LWSSqegVBwZecIT873I2d19IaNspZaIbhJhZsW6HXw2wOISxK+Qcw1GJrME7MMLl3eyy9ecRH33nuAp2STdHKp6nAqGeXJp4Yxj05hmBp206ViO5wcniNqGWiaxo4dq5gZmefurz9OtVRHSMmqjb2862NXEYmaXHLDBqZHFhg5PIUC2rqzbN2x5nnPb/uO1RTmK5w8PkOuLUVnd4apqSIXp6L8+Ef7qVSbgEKrumieQkmJVvfQXWjpzGAEgq7Ws080/lmbLl/FiX1jSF2jtFBBN3Suf++lXHnr1nP+WG8IYeLxeRcGOaFQKPQzPrhyB35Q4O6Je7Ckz8bEAl3RCjG/wcDAOPNeitqURXzBxRAeDd3Ej0icpIbdqbCERrxPIwgEycAkHhg4js+mnk4+sn0rEUMnk47hegGO46FpklKlTrluM9CZpjWXQClFoBRrBjoY7G+lJZdg9aoOvvSff4Bdd1i2qhPH9ji2b5zDe0bZduUqBtb18L7fuInRo9MIIVixqY+27uzznl88YXHnh7ezMLu0VT6RjvL3/9+DlIoN1q7s4KlHj4OQCMcHKREsfZ625xIkYlE6OtLnZDfVz2rvzfG+37iZ4/vGCPyA/tVd9K7oOOePE3rrCIOcUCgU+hm61PjY2nfzvmXbGc5/jrnFfcSsBkVfUvZijE+nOfiVbi667QRH9/VTnxcIodCaAhD0dGfoa0txeGaeATPLpd29LNYaTC+WmStXGWjLcdHWZYyOLnBiaI5AKbo6M1hx84y/zqUQrFzZwY7tKwGoV5s0ag7JTAwhxKllKkWjZp++T/dAO90D7S//HHWNzp5nA6Dr37aJe767h7wC3TLw6g74CvVMYcCoTkt7io7ODDffuvm8FQBs6czQ0pk5L+cOvfWEQU4oFAq9iFi0mw29f8Z9f/9NSsmvE+2pMzeVYM9Xl2G3xthdW00QkXhRHVn3MCyNeF4jsyxCVDPoJsWmTBdCCLLxKAvVOpWmA0A8bvH+917K2HgB3w/o7sqwa88wD+88TtP2cByPlpYEKwfaTo8nEjNp785w4sAkuqHRqDvohk5LR/qsn+u6DT20tiVZmCuzZ+cxvvn//YSGF6CARDbOp//LB9m4bTmm+crr9YReRrhcdd6FQU4oFAq9jN4Ny/jRX2+lXm+gywAVk5DRqTZ0PEsjYnhIW2I2fFYl27k63s8dF2/mS6UnmS1V6cokyVfqJCMWLfFnZ0Asy2DVymeXY66/ag3xmMnQ6AKxqMmlW5fT2f5sACOl5Ob3XorvBcxMFDBMjatv2cyqjT3n5Hm2tadoa0+xbmMv7/7IVUyO5lHAspXtmGb4cXGuLSWIv/ZA5Vy0/nizC9+1oVAo9DJWreshubGD/MgcUipUTODoOnYg0U51v9R0yOoG6/s6CTxFbzrNuy/dwF1PHmJ6sULcMnjHljX05F581kXXNa68dCVXXrryRY9p7UzzwU/dQHmxhmkZJDOx8/GUicYtVq7vPi/nDp0SdiE/78IgJxQKhV7GuhWdfOCdl/Dn/3w/thcsdXOIQGApzLxayl1B0NvfQr3psn3z0hLTxt5O+nIZivUGyYhFLnFuAhLDPDdLVKHQm10Y5IRCodDL0DXJHTdsZvlgC3/4d99nolJBSYjOK8xagHR8OiyT3nXdbF7Xy7WXPDsTk45FSMciF3D0oTeucCrnfAuDnFAoFHoFpBRsG+zl7s/8GpPzJY4cm+bhew8QtDpsXt/HzXdcRDwVwTTCX6uhVyhMPD7vwp/GUCgUehWEEPS2Z+htz3DTjnUXejihUOglhEFOKBQKhUIXQrhadd6FQU4oFAqFQhdCuFx13oUdz0KhUCgUCr0phTM5oVAoFApdEOF61fkWBjmhUCgUCl0IYYxz3oXLVaFQKBQKhd6UwpmcUCgUCoUuhDDx+LwLg5xQKBQKhS6AsEHn+RcGOaFQKBQKXRBhUs75FubkhEKhUCgUelMKZ3JCoVAoFLoQwomc8y4MckKhUCgUuiDOMvE4jHJe1ps+yHkmMatcLl/gkYRCoVDoje6Zz4rXI6m3YTcu6P3fCt70QU6lUgGgr6/vAo8kFAqFQj8vKpUK6XT6vJzbNE06Ozv5vf/6G2d9rs7OTkzTPAejenMS6k2+By0IAqampkgmkwghXtfHLpfL9PX1MT4+TiqVel0f+40uvDYvLbw+Ly28Pi8tvD4v7aWuj1KKSqVCd3c3Up6/vTnNZhPHcc76PKZpEolEzsGI3pze9DM5Ukp6e3sv6BhSqVT4i+ZFhNfmpYXX56WF1+elhdfnpb3Y9TlfMzjPFYlEwuDkdRBuIQ+FQqFQKPSmFAY5oVAoFAqF3pTCIOc8siyLP/mTP8GyrAs9lDec8Nq8tPD6vLTw+ry08Pq8tPD6vHW86ROPQ6FQKBQKvTWFMzmhUCgUCoXelMIgJxQKhUKh0JtSGOSEQqFQKBR6UwqDnFAoFAqFQm9KYZBzDnz2s5/lyiuvJBaLkclknnf7008/zYc//GH6+vqIRqOsW7eOv/qrv3rR8/30pz9F13W2bt16/gb9OjoX1+df/uVfuPnmm2lrayOVSnHFFVdwzz33vE7P4Pw6V++fBx98kIsuugjLsli5ciVf/vKXz//gz7OXuzYAv/3bv83FF1+MZVkv+jNzzz33cPnll5NMJmlra+O9730vIyMj523cr5dzdX2UUvzn//yfWb16NZZl0dPTw2c/+9nzN/DXybm6Ps84ceIEyWTyRc8VeuMJg5xzwHEc3v/+9/OpT33qBW/fvXs37e3t/OM//iMHDx7kj/7oj/j0pz/NX//1Xz/v2GKxyMc+9jFuvPHG8z3s1825uD4PP/wwN998Mz/4wQ/YvXs3119/Pbfffjt79ux5vZ7GeXMurs/w8DDvfOc7uf7669m7dy+/+7u/y6/+6q/+3AeCL3dtnvErv/IrfPCDH3zB24aHh7njjju44YYb2Lt3L/fccw8LCwu85z3vOR9Dfl39/9u7/5go6zgO4O/n7rxQ+SXzOMhOBFKDWopOivmbDslowZjDaW13QzRXpss2oGJdWLblaOmG1pzulpqK5FQyt8SOswuJdEvS9EwQAg2o6UJuYeLd0x/MG4/8EOK5H57v13Z/3Pe+9/1+vh+O2+e+z/PcyZEfAFi3bh127NiBkpIS2O12VFRUIDk5We5wvU6u/ABAd3c3li1bhrlz58oZInmaSLIxm81iWFjYkPq+9tpr4sKFC/u0L126VCwqKhJNJpM4bdo0eQP0MTny01tiYqJYXFwsQ2T+YST5yc/PF5988klJn6VLl4rp6elyhugzQ8nNQP8z5eXlokqlEp1Op7utoqJCFARBvH37tsyR+sZI8nPhwgVRpVKJdrvdM8H5gZHk5678/HzxlVdeGdb/Kfked3J8pKOjAxEREZI2s9mMK1euwGQy+Sgq/9FffnpzuVzo7OwctE8guzc/NTU10Ov1kj7p6emoqanxdmh+Z+bMmVAoFDCbzXA6nejo6MDu3buh1+sxatQoX4fnc19//TXi4uJw9OhRxMbGYtKkScjLy8ONGzd8HZrfsFgsKC8vx9atW30dCg1TwP9Apz86deoUysrK8M0337jbLl++jMLCQthsNqhUD/efpb/83KukpAQOhwM5OTlejMw/9JeftrY2aLVaST+tVoubN2+iq6sLo0eP9naYfiM2NhbHjx9HTk4OXn31VTidTqSkpODYsWO+Ds0vXLlyBb///jvKy8uxa9cuOJ1OvPnmm1iyZAksFouvw/O569evw2g0Ys+ePfyx0wcQd3IGUFhYCEEQBr3Z7fZhj3v+/HlkZmbCZDJh0aJFAACn04nly5ejuLgYU6ZMkXspHuHN/Nxr7969KC4uxoEDBxAZGTnSpXiEL/Pj7zyVm4G0tbVh5cqVMBgMOH36NE6ePAm1Wo0lS5ZA9MMvfPd2flwuF/7991/s2rULc+fOxYIFC7Bz505UVVXh0qVLss0jF2/nZ+XKlVi+fDnmzZsn25jkPQ/3lsEg3nrrLRiNxkH7xMXFDWvMCxcu4LnnnsOqVatQVFTkbu/s7MSZM2fw888/Y82aNQB63nhEUYRKpcLx48eRmpo67DV4kjfz09v+/fuRl5eH8vLyPodn/Im38xMVFYX29nZJW3t7O0JDQ/1uF8cTuRnM1q1bERYWhk2bNrnb9uzZA51Oh9raWjz77LOyzSUHb+cnOjoaKpVK8gErISEBANDc3IypU6fKNpccvJ0fi8WCiooKlJSUAOi5Es3lckGlUmH79u3Izc2VbS6SH4ucAWg0Gmg0GtnG+/XXX5GamgqDwdDn0szQ0FCcO3dO0rZt2zZYLBZ89dVXiI2NlS0OuXgzP3ft27cPubm52L9/PzIyMmSb2xO8nZ/+Dr9UVlYiJSVFthjkIndu7ueff/6BQiHdtFYqlQB6Pkz4G2/nZ/bs2bhz5w4aGhoQHx8PAPjtt98AADExMV6LY6i8nZ+amho4nU73/SNHjuDjjz/GqVOnMGHCBK/FQf8PixwZNDc348aNG2hubobT6cTZs2cBAI8//jiCg4Nx/vx5pKamIj09HevXr0dbWxuAnjdajUYDhUKBp556SjJmZGQkgoKC+rQ/iEaaH6DnEJXBYMCWLVvwzDPPuPuMHj0aYWFhPlmXXOTIz+rVq1FaWor8/Hzk5ubCYrHgwIEDg57X9CC4X26Anu8ucTgcaGtrQ1dXl7tPYmIi1Go1MjIy8Omnn2LDhg1YtmwZOjs78c477yAmJgZJSUk+Wpk85MiPXq/HjBkzkJubi82bN8PlcuH1119HWlraA3P4fCBy5OfurtZdZ86c6fc9m/yUj6/uCggGg0EE0OdWVVUlimLPpYn9PR4TEzPgmIF0Cbkc+Zk/f36/fQwGg0/WJCe5Xj9VVVXi9OnTRbVaLcbFxYlms9nra5Hb/XIjigO/NhobG9199u3bJyYlJYljx44VNRqN+NJLL4kXL170/oJkJld+rl27JmZnZ4vBwcGiVqsVjUajeP36de8vSGZy5ac3XkL+YBFE0Q/PvCMiIiIaIV5dRURERAGJRQ4REREFJBY5REREFJBY5BAREVFAYpFDREREAYlFDhEREQUkFjlEREQUkFjkED2EmpqaIAiC+9td5SYIAg4fPuyRsYmIhopFDpEPGI1GZGVl+Wx+nU6H1tZW91fTW61WCIKAv//+22cxERHJjb9dRfQQUiqViIqK8nUYREQexZ0cIj9z8uRJJCcn45FHHkF0dDQKCwtx584d9+MLFizA2rVrkZ+fj4iICERFReH999+XjGG32zFnzhwEBQUhMTERJ06ckBxC6n24qqmpCQsXLgQAjBs3DoIgwGg0AgAmTZqEzZs3S8aePn26ZL7Lly9j3rx57rkqKyv7rKmlpQU5OTkIDw9HREQEMjMz0dTUNNJUERENikUOkR+5du0aXnjhBcyaNQt1dXX47LPPsHPnTnz44YeSfl988QXGjh2L2tpabNq0CRs2bHAXF06nE1lZWRgzZgxqa2uxfft2vPvuuwPOqdPpcPDgQQDApUuX0Nraii1btgwpXpfLhezsbKjVatTW1uLzzz9HQUGBpE93dzfS09MREhICm82G6upqBAcH4/nnn8ft27eHkx4iomHh4SoiP7Jt2zbodDqUlpZCEAQ88cQT+OOPP1BQUID33nsPCkXP55Knn34aJpMJADB58mSUlpbiu+++Q1paGiorK9HQ0ACr1eo+JLVx40akpaX1O6dSqURERAQAIDIyEuHh4UOO98SJE7Db7fj222/x6KOPAgA++ugjLF682N2nrKwMLpcLO3bsgCAIAACz2Yzw8HBYrVYsWrRoeEkiIhoiFjlEfuTixYtISUlxFwMAMHv2bDgcDly9ehUTJ04E0FPk9BYdHY0///wTQM9ujE6nk5xzk5yc7LF4dTqdu8ABgJSUFEmfuro61NfXIyQkRNJ+69YtNDQ0eCQuIiKARQ7RA2nUqFGS+4IgwOVyyT6PQqGAKIqStu7u7mGN4XA4MHPmTHz55Zd9HtNoNCOKj4hoMCxyiPxIQkICDh48CFEU3bs51dXVCAkJwWOPPTakMaZOnYqWlha0t7dDq9UCAE6fPj3oc9RqNYCe83l602g0aG1tdd+/efMmGhsbJfG2tLSgtbUV0dHRAIAff/xRMsaMGTNQVlaGyMhIhIaGDmkNRERy4InHRD7S0dGBs2fPSm6rVq1CS0sL3njjDdjtdhw5cgQmkwnr1693n49zP2lpaYiPj4fBYMAvv/yC6upqFBUVAYDkMFhvMTExEAQBR48exV9//QWHwwEASE1Nxe7du2Gz2XDu3DkYDAYolUr38/R6PaZMmQKDwYC6ujrYbLY+Jzm//PLLGD9+PDIzM2Gz2dDY2Air1Yq1a9fi6tWr/yd1RERDwiKHyEesViuSkpIktw8++ADHjh3DTz/9hGnTpmH16tVYsWKFu0gZCqVSicOHD8PhcGDWrFnIy8tzFx5BQUH9PmfChAkoLi5GYWEhtFot1qxZAwB4++23MX/+fLz44ovIyMhAVlYW4uPj3c9TKBQ4dOgQurq6kJycjLy8PGzcuFEy9pgxY/D9999j4sSJyM7ORkJCAlasWIFbt25xZ4eIPEoQ7z3gTkQBp7q6GnPmzEF9fb2kSCEiCmQscogC0KFDhxAcHIzJkyejvr4e69atw7hx4/DDDz/4OjQiIq/hicdEAaizsxMFBQVobm7G+PHjodfr8cknn/g6LCIir+JODhEREQUknnhMREREAYlFDhEREQUkFjlEREQUkFjkEBERUUBikUNEREQBiUUOERERBSQWOURERBSQWOQQERFRQGKRQ0RERAHpPw2Vb8HqLacIAAAAAElFTkSuQmCC\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plt.scatter(df[\"longitude\"], df[\"latitude\"], alpha=0.5, s=10, c=df[\"median_house_value\"])\n", + "plt.xlabel(\"Longitude\")\n", + "plt.ylabel(\"Latitude\")\n", + "plt.colorbar()\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "11ifMR531VUO" + }, + "source": [ + "### Boxplots\n", + "\n", + "Boxplots represent the main statistics of a numerical variable:\n", + "\n", + "\"boxplot\"" + ] + }, + { + "cell_type": "code", + "execution_count": 141, + "metadata": { + "id": "D7yW8RXG1VUO", + "outputId": "1824ec31-218e-434d-da1a-0e900dd0b2d1" + }, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plt.boxplot(df[\"median_house_value\"], vert=False)\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 139, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 139, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "df.plot(y=\"median_house_value\", kind=\"box\")" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "0y8aLUFE1VUO" + }, + "source": [ + "The black points outside the \"whiskers\" of the plot are extreme values (they are omitted from the computation of the minimum and maximum). The `vert` argument determines if the boxplot is horizontal or vertical." + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "Y1vopA2O1VUO" + }, + "source": [ + "## Exercise\n", + "\n", + "File `nations.csv`. Data from the [World Bank Indicators portal](http://paldhous.github.io/ucb/2016/dataviz/datasets.html). Contains the following fields:\n", + " - `iso2c`, `iso3c`: Two- and Three-letter codes for each country, assigned by the International Organization for Standardization.\n", + " - `country`: Country name.\n", + " - `year`: Year\n", + " - `population`: Estimated total population at mid-year, including all residents apart from refugees.\n", + " - `gdp_percap`: Gross Domestic Product per capita in current international dollars, corrected for purchasing power in different territories.\n", + " - `life_expect`: Life expectancy at birth, in years.\n", + " - `population`: Estimated total population at mid-year, including all residents apart from refugees.\n", + " - `birth_rate`: Live births during the year per 1,000 people, based on mid-year population estimate.\n", + " - `neonat_mortal_rate` Neonatal mortality rate: babies dying before reaching 28 days of age, per 1,000 live births in a given year.\n", + " - `region_income`: World Bank regions and income groups, explained [here](https://datahelpdesk.worldbank.org/knowledgebase/articles/906519).\n", + "\n", + "Part 1\n", + "1. Read the CSV file into Python using Pandas\n", + "2. Extract all the rows where `country == \"Spain\"`\n", + "3. Plot the GDP in the y-axis and the year in the x-axis using a line\n", + "\n", + "Part 2\n", + "1. Compute the median GDP per country (for all the years)\n", + "2. Sort the values by median GDP and select the first 5\n", + "3. Create a bar plot representing the countries and the median GDP" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "s7A9_zB01VUP" + }, + "source": [ + "## Multiple plots in the same figure\n", + "\n", + "We can make different plots in the same figure with the [`plt.subplot()`](https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.subplot.html) function. In matplotlib terminology, these subplots inside the same figure are called axes.\n", + "\n", + "The subplot function takes three arguments, `nrow`, `ncol` and `index`. The first two indicate the size of the grid of subplots (rows and columns), and the last is an increasing index for each subplot. In this example we create a 2 by 3 grid, and the last number is the position of each plot:\n", + "\n", + "![](data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAXYAAAD/CAYAAADllv3BAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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%0AYII=)" + ] + }, + { + "cell_type": "code", + "execution_count": 95, + "metadata": { + "id": "UFLCP5me1VUP", + "outputId": "b3e588e1-8155-4b37-fb0c-aa7c1b93a0e1" + }, + "outputs": [ + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# we can use this function to increase the size of the figures, in inches\n", + "plt.figure(figsize=(15, 5))\n", + "\n", + "# 1 by 2 grid, first plot\n", + "plt.subplot(1, 2, 1)\n", + "plt.plot(x, y, color=\"red\", label=\"x**2\")\n", + "plt.title(\"Square\")\n", + "plt.xlabel(\"x\")\n", + "\n", + "# 1 by 2 grid, second plot\n", + "plt.subplot(1, 2, 2)\n", + "plt.plot(x, x ** 3, color=\"blue\", label=\"x**3\")\n", + "plt.title(\"Cubic\")\n", + "plt.xlabel(\"x\")\n", + "\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "Lm1lmsfX1VUP" + }, + "source": [ + "### Más ejemplos" + ] + }, + { + "cell_type": "code", + "execution_count": 96, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# histogramas\n", + "n = np.random.randn(100000)\n", + "fig, axes = plt.subplots(1, 2, figsize=(12,4))\n", + "\n", + "axes[0].hist(n)\n", + "axes[0].set_title(\"Histograma\")\n", + "axes[0].set_xlim((min(n), max(n)))\n", + "\n", + "axes[1].hist(n, cumulative=True, bins=50)\n", + "axes[1].set_title(\"Histograma acumulado\")\n", + "axes[1].set_xlim((min(n), max(n)));" + ] + }, + { + "cell_type": "code", + "execution_count": 97, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "import numpy as np\n", + "\n", + "n = np.array([0,1,2,3,4,5])\n", + "x = np.linspace(0, 5, 10)\n", + "xx = np.linspace(-0.75, 1., 100)\n", + "\n", + "fig, axes = plt.subplots(1, 4, figsize=(12,3))\n", + "\n", + "axes[0].scatter(xx, xx + 0.25*np.random.randn(len(xx)))\n", + "axes[0].set_title(\"scatter\")\n", + "\n", + "axes[1].step(n, n**2, lw=2)\n", + "axes[1].set_title(\"step\")\n", + "\n", + "axes[2].bar(n, n**2, align=\"center\", width=0.5, alpha=0.5)\n", + "axes[2].set_title(\"bar\")\n", + "\n", + "axes[3].fill_between(x, x**2, x**3, color=\"green\", alpha=0.5);\n", + "axes[3].set_title(\"fill_between\");" + ] + }, + { + "cell_type": "code", + "execution_count": 144, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig, axes = plt.subplots(2, 2, figsize=(12, 10))\n", + "\n", + "axes[0][0].scatter(xx, xx + 0.25*np.random.randn(len(xx)))\n", + "axes[0][0].set_title(\"scatter\")\n", + "\n", + "axes[1][0].step(n, n**2, lw=2)\n", + "axes[1][0].set_title(\"step\")\n", + "\n", + "axes[0][1].bar(n, n**2, align=\"center\", width=0.5, alpha=0.5)\n", + "axes[0][1].set_title(\"bar\")\n", + "\n", + "axes[1][1].fill_between(x, x**2, x**3, color=\"green\", alpha=0.5);\n", + "axes[1][1].set_title(\"fill_between\");" + ] + }, + { + "cell_type": "code", + "execution_count": 147, + "metadata": {}, + "outputs": [], + "source": [ + "fig.savefig(\"miplot.png\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "colab": { + "provenance": [] + }, + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.9.7" + } + }, + "nbformat": 4, + "nbformat_minor": 1 +} diff --git a/notebook/california_housing_train.csv b/notebook/california_housing_train.csv new file mode 100755 index 0000000..6e6023d --- /dev/null +++ b/notebook/california_housing_train.csv @@ -0,0 +1,17001 @@ +"longitude","latitude","housing_median_age","total_rooms","total_bedrooms","population","households","median_income","median_house_value" +-114.310000,34.190000,15.000000,5612.000000,1283.000000,1015.000000,472.000000,1.493600,66900.000000 +-114.470000,34.400000,19.000000,7650.000000,1901.000000,1129.000000,463.000000,1.820000,80100.000000 +-114.560000,33.690000,17.000000,720.000000,174.000000,333.000000,117.000000,1.650900,85700.000000 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b/notebook/pandas/00-pandas.ipynb @@ -23,7 +23,7 @@ }, { "cell_type": "code", - "execution_count": 37, + "execution_count": 2, "metadata": {}, "outputs": [ { @@ -32,7 +32,7 @@ "'2.2.0'" ] }, - "execution_count": 37, + "execution_count": 2, "metadata": {}, "output_type": "execute_result" } @@ -45,7 +45,7 @@ }, { "cell_type": "code", - "execution_count": 38, + "execution_count": 2, "metadata": {}, "outputs": [ { @@ -71,7 +71,60 @@ }, { "cell_type": "code", - "execution_count": 39, + "execution_count": 13, + "metadata": {}, + "outputs": [], + "source": [ + "import numpy as np\n", + "\n", + "a = np.array([[1, 2, 3], [4, 5, 6], [7, 8, 9]])" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "array([1, 4, 7])" + ] + }, + "execution_count": 14, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "a[:, 0]" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "array([[1, 2, 3],\n", + " [4, 5, 6],\n", + " [7, 8, 9]])" + ] + }, + "execution_count": 15, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "a" + ] + }, + { + "cell_type": "code", + "execution_count": 20, "metadata": {}, "outputs": [ { @@ -85,7 +138,7 @@ "dtype: int64" ] }, - "execution_count": 39, + "execution_count": 20, "metadata": {}, "output_type": "execute_result" } @@ -101,7 +154,7 @@ }, { "cell_type": "code", - "execution_count": 40, + "execution_count": 24, "metadata": {}, "outputs": [ { @@ -110,7 +163,7 @@ "array([1, 2, 3, 4, 5])" ] }, - "execution_count": 40, + "execution_count": 24, "metadata": {}, "output_type": "execute_result" } @@ -122,7 +175,7 @@ }, { "cell_type": "code", - "execution_count": 41, + "execution_count": 25, "metadata": {}, "outputs": [ { @@ -131,7 +184,7 @@ "RangeIndex(start=0, stop=5, step=1)" ] }, - "execution_count": 41, + "execution_count": 25, "metadata": {}, "output_type": "execute_result" } @@ -143,7 +196,7 @@ }, { "cell_type": "code", - "execution_count": 42, + "execution_count": 27, "metadata": {}, "outputs": [ { @@ -154,7 +207,7 @@ "dtype: int64" ] }, - "execution_count": 42, + "execution_count": 27, "metadata": {}, "output_type": "execute_result" } @@ -164,10 +217,105 @@ "serie[2:4]" ] }, + { + "cell_type": "code", + "execution_count": 52, + "metadata": {}, + "outputs": [], + "source": [ + "s2 = pd.Series([4, 5, 6, 7, 8], index=[5, 0, 3, 2, 1])" + ] + }, + { + "cell_type": "code", + "execution_count": 38, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "5 4\n", + "4 5\n", + "2 6\n", + "dtype: int64" + ] + }, + "execution_count": 38, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "s2.iloc[0:3]" + ] + }, + { + "cell_type": "code", + "execution_count": 42, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "4 5\n", + "2 6\n", + "0 7\n", + "dtype: int64" + ] + }, + "execution_count": 42, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "s2.loc[4:0]" + ] + }, + { + "cell_type": "code", + "execution_count": 44, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "7" + ] + }, + "execution_count": 44, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "s2.iloc[3]" + ] + }, { "cell_type": "code", "execution_count": 43, "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "7" + ] + }, + "execution_count": 43, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "s2.loc[0]" + ] + }, + { + "cell_type": "code", + "execution_count": 53, + "metadata": {}, "outputs": [ { "data": { @@ -180,7 +328,7 @@ "dtype: int64" ] }, - "execution_count": 43, + "execution_count": 53, "metadata": {}, "output_type": "execute_result" } @@ -191,42 +339,58 @@ }, { "cell_type": "code", - "execution_count": 44, + "execution_count": 54, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "5 4\n", + "0 5\n", + "3 6\n", + "2 7\n", + "1 8\n", + "dtype: int64" + ] + }, + "execution_count": 54, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ - "s2 = pd.Series([4, 5, 6, 7, 8], index=[5, 3, 2, 0, 1])" + "s2" ] }, { "cell_type": "code", - "execution_count": 45, + "execution_count": 60, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "0 8.0\n", - "1 10.0\n", - "2 9.0\n", - "3 9.0\n", + "0 5.0\n", + "1 16.0\n", + "2 21.0\n", + "3 24.0\n", "4 NaN\n", "5 NaN\n", "dtype: float64" ] }, - "execution_count": 45, + "execution_count": 60, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "serie + s2" + "serie * s2" ] }, { "cell_type": "code", - "execution_count": 46, + "execution_count": 62, "metadata": {}, "outputs": [ { @@ -242,7 +406,7 @@ "dtype: float64" ] }, - "execution_count": 46, + "execution_count": 62, "metadata": {}, "output_type": "execute_result" } @@ -254,42 +418,40 @@ }, { "cell_type": "code", - "execution_count": 47, - "metadata": { - "scrolled": false - }, + "execution_count": 72, + "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "2017-01-07 00:00:00 -0.022468\n", - "2017-01-07 01:00:00 2.030397\n", - "2017-01-07 02:00:00 -1.367908\n", - "2017-01-07 03:00:00 0.338805\n", - "2017-01-07 04:00:00 -0.450844\n", - "2017-01-07 05:00:00 -0.844710\n", - "2017-01-07 06:00:00 2.161223\n", - "2017-01-07 07:00:00 -0.384543\n", - "2017-01-07 08:00:00 -0.522380\n", - "2017-01-07 09:00:00 1.085351\n", - "2017-01-07 10:00:00 -0.811443\n", - "2017-01-07 11:00:00 -0.716187\n", - "2017-01-07 12:00:00 0.576586\n", - "2017-01-07 13:00:00 1.304846\n", - "2017-01-07 14:00:00 -0.435913\n", - "2017-01-07 15:00:00 -0.136566\n", - "2017-01-07 16:00:00 -0.325842\n", - "2017-01-07 17:00:00 -0.679911\n", - "2017-01-07 18:00:00 0.553902\n", - "2017-01-07 19:00:00 0.701688\n", - "2017-01-07 20:00:00 0.473010\n", - "2017-01-07 21:00:00 1.040758\n", - "2017-01-07 22:00:00 0.246417\n", - "2017-01-07 23:00:00 -2.221367\n", + "2017-01-07 00:00:00 -0.066908\n", + "2017-01-07 01:00:00 -1.885968\n", + "2017-01-07 02:00:00 1.019164\n", + "2017-01-07 03:00:00 -0.479721\n", + "2017-01-07 04:00:00 0.620721\n", + "2017-01-07 05:00:00 -0.107174\n", + "2017-01-07 06:00:00 0.265542\n", + "2017-01-07 07:00:00 -0.581918\n", + "2017-01-07 08:00:00 1.509094\n", + "2017-01-07 09:00:00 -0.450792\n", + "2017-01-07 10:00:00 -0.581243\n", + "2017-01-07 11:00:00 0.910626\n", + "2017-01-07 12:00:00 0.398800\n", + "2017-01-07 13:00:00 0.245026\n", + "2017-01-07 14:00:00 0.621685\n", + "2017-01-07 15:00:00 -0.097574\n", + "2017-01-07 16:00:00 -0.516198\n", + "2017-01-07 17:00:00 -0.177376\n", + "2017-01-07 18:00:00 -0.492276\n", + "2017-01-07 19:00:00 -0.231247\n", + "2017-01-07 20:00:00 -1.666214\n", + "2017-01-07 21:00:00 2.216285\n", + "2017-01-07 22:00:00 -0.066365\n", + "2017-01-07 23:00:00 -0.489162\n", "Freq: h, dtype: float64" ] }, - "execution_count": 47, + "execution_count": 72, "metadata": {}, "output_type": "execute_result" } @@ -303,638 +465,566 @@ }, { "cell_type": "code", - "execution_count": 48, + "execution_count": 77, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "DatetimeIndex(['2012-01-01 20:03:00', 'NaT', '2012-01-01 20:05:00'], dtype='datetime64[ns]', freq=None)" + "DatetimeIndex(['2017-01-07 00:00:00', '2017-01-07 01:00:00',\n", + " '2017-01-07 02:00:00', '2017-01-07 03:00:00',\n", + " '2017-01-07 04:00:00', '2017-01-07 05:00:00',\n", + " '2017-01-07 06:00:00', '2017-01-07 07:00:00',\n", + " '2017-01-07 08:00:00', '2017-01-07 09:00:00',\n", + " '2017-01-07 10:00:00', '2017-01-07 11:00:00',\n", + " '2017-01-07 12:00:00', '2017-01-07 13:00:00',\n", + " '2017-01-07 14:00:00', '2017-01-07 15:00:00',\n", + " '2017-01-07 16:00:00', '2017-01-07 17:00:00',\n", + " '2017-01-07 18:00:00', '2017-01-07 19:00:00',\n", + " '2017-01-07 20:00:00', '2017-01-07 21:00:00',\n", + " '2017-01-07 22:00:00', '2017-01-07 23:00:00'],\n", + " dtype='datetime64[ns]', freq='h')" ] }, - "execution_count": 48, + "execution_count": 77, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "a = [\"2012-01-01 20:03\", \"2012-13-01 20:04\", \"2012-01-01 20:05\"]\n", - "pd.to_datetime(a, format=\"%Y-%m-%d %H:%M\", errors=\"coerce\")" + "ts.index" ] }, { "cell_type": "code", - "execution_count": 49, + "execution_count": 73, + "metadata": {}, + "outputs": [], + "source": [ + "dr = pd.date_range('1/7/2017', periods=5, freq='D')\n", + "ts1 = pd.Series(np.random.randn(len(dr)), index=dr)" + ] + }, + { + "cell_type": "code", + "execution_count": 76, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "Alberto 4.5\n", - "Maria 9.8\n", - "Jose 6.5\n", - "dtype: float64" + "DatetimeIndex(['2017-01-07', '2017-01-08', '2017-01-09', '2017-01-10',\n", + " '2017-01-11'],\n", + " dtype='datetime64[ns]', freq='D')" ] }, - "execution_count": 49, + "execution_count": 76, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "# o cadenas de caracteres\n", - "notas = pd.Series([4.5, 9.8, 6.5], index=['Alberto', 'Maria', 'Jose'])\n", - "notas" + "ts1.index" ] }, { "cell_type": "code", - "execution_count": 50, + "execution_count": 74, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "Alberto 45.0\n", - "Maria 98.0\n", - "Jose 65.0\n", + "2017-01-07 00:00:00 0.724135\n", + "2017-01-07 01:00:00 NaN\n", + "2017-01-07 02:00:00 NaN\n", + "2017-01-07 03:00:00 NaN\n", + "2017-01-07 04:00:00 NaN\n", + "2017-01-07 05:00:00 NaN\n", + "2017-01-07 06:00:00 NaN\n", + "2017-01-07 07:00:00 NaN\n", + "2017-01-07 08:00:00 NaN\n", + "2017-01-07 09:00:00 NaN\n", + "2017-01-07 10:00:00 NaN\n", + "2017-01-07 11:00:00 NaN\n", + "2017-01-07 12:00:00 NaN\n", + "2017-01-07 13:00:00 NaN\n", + "2017-01-07 14:00:00 NaN\n", + "2017-01-07 15:00:00 NaN\n", + "2017-01-07 16:00:00 NaN\n", + "2017-01-07 17:00:00 NaN\n", + "2017-01-07 18:00:00 NaN\n", + "2017-01-07 19:00:00 NaN\n", + "2017-01-07 20:00:00 NaN\n", + "2017-01-07 21:00:00 NaN\n", + "2017-01-07 22:00:00 NaN\n", + "2017-01-07 23:00:00 NaN\n", + "2017-01-08 00:00:00 NaN\n", + "2017-01-09 00:00:00 NaN\n", + "2017-01-10 00:00:00 NaN\n", + "2017-01-11 00:00:00 NaN\n", "dtype: float64" ] }, - "execution_count": 50, + "execution_count": 74, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "notas * 10" + "ts + ts1" + ] + }, + { + "cell_type": "code", + "execution_count": 78, + "metadata": {}, + "outputs": [], + "source": [ + "fechas = [\"2012-01-01 20:03\", \"2012-13-01 20:04\", \"2012-01-01 20:05\"]\n", + "\n", + "s3 = pd.Series([1, 2, 3], index=fechas)" + ] + }, + { + "cell_type": "code", + "execution_count": 84, + "metadata": {}, + "outputs": [], + "source": [ + "a = [\"2012-01-01 20:03\", \"2012-13-01 20:04\", \"2012-01-01 20:05\"]\n", + "fechas = pd.to_datetime(a, format=\"%Y-%m-%d %H:%M\", errors=\"coerce\")" ] }, { "cell_type": "code", - "execution_count": 51, + "execution_count": 88, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "2017-01-07 06:00:00 2.161223\n", - "2017-01-07 07:00:00 -0.384543\n", - "2017-01-07 08:00:00 -0.522380\n", - "2017-01-07 09:00:00 1.085351\n", - "2017-01-07 10:00:00 -0.811443\n", - "2017-01-07 11:00:00 -0.716187\n", - "2017-01-07 12:00:00 0.576586\n", - "Freq: h, dtype: float64" + "array(['2012-13-01 20:04'], dtype='\n", - "\n", - "\n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - "
ABCD
2017-01-01-0.0594091.320514-0.1819430.119760
2017-01-020.176690-0.3443361.432409-1.394332
2017-01-03-0.633423-1.6088010.2991640.592692
2017-01-04-0.160039-0.4658970.978880-1.513424
2017-01-050.5105192.6638770.907093-0.048374
2017-01-06-1.628248-1.457557-2.061129-1.491014
\n", - "" - ], "text/plain": [ - " A B C D\n", - "2017-01-01 -0.059409 1.320514 -0.181943 0.119760\n", - "2017-01-02 0.176690 -0.344336 1.432409 -1.394332\n", - "2017-01-03 -0.633423 -1.608801 0.299164 0.592692\n", - "2017-01-04 -0.160039 -0.465897 0.978880 -1.513424\n", - "2017-01-05 0.510519 2.663877 0.907093 -0.048374\n", - "2017-01-06 -1.628248 -1.457557 -2.061129 -1.491014" + "Alberto 4.5\n", + "David 9.8\n", + "Alicia 6.5\n", + "Adrian 8.4\n", + "dtype: float64" ] }, - "execution_count": 56, + "execution_count": 127, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "# se puede crear un DataFrame a partir de un array de Numpy, indicando el indice a usar (fechas en este caso)\n", - "# y el nombre de las columnas\n", - "# ['A', 'B', 'C', 'D']\n", - "import numpy as np\n", - "import pandas as pd\n", - "\n", - "df = pd.DataFrame(np.random.randn(6,4), index=fechas, columns=list('ABCD'))\n", - "df" + "notas = pd.Series([4.5, 9.8, 6.5, 8.4], index=[\"Alberto\", \"David\", \"Alicia\", \"Adrian\"])\n", + "notas" ] }, { "cell_type": "code", - "execution_count": 57, + "execution_count": 128, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "A float64\n", - "B float64\n", - "C float64\n", - "D float64\n", - "dtype: object" + "4.5" ] }, - "execution_count": 57, + "execution_count": 128, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "df.dtypes" + "notas[\"Alberto\"]" ] }, { "cell_type": "code", - "execution_count": 58, - "metadata": { - "scrolled": true - }, + "execution_count": 136, + "metadata": {}, + "outputs": [], + "source": [ + "notas2 = pd.Series([4.5, 9.8, 6.5, 8.4], index=[\"David\", \"Alberto\", \"Adrian\", \"Alici\"])" + ] + }, + { + "cell_type": "code", + "execution_count": 137, + "metadata": {}, "outputs": [ { "data": { - "text/html": [ - "
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" - ], "text/plain": [ - " A B C D E F\n", - "0 1.0 2013-01-02 1.0 3 test foo\n", - "1 1.0 2013-01-02 2.0 3 train foo\n", - "2 1.0 2013-01-02 3.0 3 test foo\n", - "3 1.0 2013-01-02 4.0 3 train foo" + "Alberto 4.5\n", + "David 9.8\n", + "Alicia 6.5\n", + "Adrian 8.4\n", + "dtype: float64" ] }, - "execution_count": 58, + "execution_count": 137, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "# tambien se puede crear un DataFrame a partir de un diccionario con objetos que se pueden convertir en Series\n", - "df2 = pd.DataFrame({ \n", - " 'A' : 1.,\n", - " 'B' : pd.Timestamp('20130102'),\n", - " 'C' : pd.Series([1, 2, 3, 4], index=list(range(4)),dtype='float32'),\n", - " 'D' : np.array([3] * 4, dtype='int32'),\n", - " 'E' : pd.Categorical([\"test\",\"train\",\"test\",\"train\"]),\n", - " 'F' : 'foo'\n", - "})\n", - "df2" + "notas" ] }, { "cell_type": "code", - "execution_count": 59, + "execution_count": 138, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "A float64\n", - "B datetime64[s]\n", - "C float32\n", - "D int32\n", - "E category\n", - "F object\n", - "dtype: object" + "David 4.5\n", + "Alberto 9.8\n", + "Adrian 6.5\n", + "Alici 8.4\n", + "dtype: float64" ] }, - "execution_count": 59, + "execution_count": 138, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "# tipos de cada una de las columnas\n", - "df2.dtypes" + "notas2" ] }, { "cell_type": "code", - "execution_count": 60, + "execution_count": 144, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "Index(['A', 'B', 'C', 'D', 'E', 'F'], dtype='object')" + "Adrian 14.9\n", + "Alberto 14.3\n", + "Alici 8.4\n", + "Alicia 6.5\n", + "David 14.3\n", + "dtype: float64" ] }, - "execution_count": 60, + "execution_count": 144, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "# nombres de las columnas\n", - "df2.columns" + "notas.add(notas2, fill_value=0)" ] }, { "cell_type": "code", - "execution_count": 61, + "execution_count": 145, "metadata": {}, "outputs": [ { "data": { - "text/html": [ - "
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" - ], "text/plain": [ - " A\n", - "0 1.0\n", - "1 1.0\n", - "2 1.0\n", - "3 1.0" + "2017-01-07 00:00:00 -0.066908\n", + "2017-01-07 01:00:00 -1.885968\n", + "2017-01-07 02:00:00 1.019164\n", + "2017-01-07 03:00:00 -0.479721\n", + "2017-01-07 04:00:00 0.620721\n", + "2017-01-07 05:00:00 -0.107174\n", + "2017-01-07 06:00:00 0.265542\n", + "2017-01-07 07:00:00 -0.581918\n", + "2017-01-07 08:00:00 1.509094\n", + "2017-01-07 09:00:00 -0.450792\n", + "2017-01-07 10:00:00 -0.581243\n", + "2017-01-07 11:00:00 0.910626\n", + "2017-01-07 12:00:00 0.398800\n", + "2017-01-07 13:00:00 0.245026\n", + "2017-01-07 14:00:00 0.621685\n", + "2017-01-07 15:00:00 -0.097574\n", + "2017-01-07 16:00:00 -0.516198\n", + "2017-01-07 17:00:00 -0.177376\n", + "2017-01-07 18:00:00 -0.492276\n", + "2017-01-07 19:00:00 -0.231247\n", + "2017-01-07 20:00:00 -1.666214\n", + "2017-01-07 21:00:00 2.216285\n", + "2017-01-07 22:00:00 -0.066365\n", + "2017-01-07 23:00:00 -0.489162\n", + "Freq: h, dtype: float64" ] }, - "execution_count": 61, + "execution_count": 145, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "# podemos acceder a cada una de las columnas por su nombre, devolviendo una Serie\n", - "df2[[\"A\"]]" + "ts" ] }, { "cell_type": "code", - "execution_count": 62, + "execution_count": 148, + "metadata": {}, + "outputs": [], + "source": [ + "import datetime as dt" + ] + }, + { + "cell_type": "code", + "execution_count": 153, "metadata": {}, "outputs": [ { "data": { - "text/html": [ - "
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AD
2017-01-01-0.0594090.119760
2017-01-020.176690-1.394332
2017-01-03-0.6334230.592692
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" - ], "text/plain": [ - " A D\n", - "2017-01-01 -0.059409 0.119760\n", - "2017-01-02 0.176690 -1.394332\n", - "2017-01-03 -0.633423 0.592692\n", - "2017-01-04 -0.160039 -1.513424\n", - "2017-01-05 0.510519 -0.048374\n", - "2017-01-06 -1.628248 -1.491014" + "2017-01-07 06:00:00 0.265542\n", + "2017-01-07 07:00:00 -0.581918\n", + "2017-01-07 08:00:00 1.509094\n", + "2017-01-07 09:00:00 -0.450792\n", + "2017-01-07 10:00:00 -0.581243\n", + "2017-01-07 11:00:00 0.910626\n", + "2017-01-07 12:00:00 0.398800\n", + "Freq: h, dtype: float64" ] }, - "execution_count": 62, + "execution_count": 153, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "# tambien a varias, obteniendo otro DataFrame\n", - "df[ ['A', 'D'] ]" + "ts.loc[dt.datetime.strptime(\"2017-01-07 06:00:00\", \"%Y-%m-%d %H:%M:%S\"):\"2017-01-07 12:00:00\"]" ] }, { "cell_type": "code", - "execution_count": 63, + "execution_count": 52, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Alberto 4.5\n", + "Maria 9.8\n", + "dtype: float64" + ] + }, + "execution_count": 52, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# en este caso, es similar a un diccionario pero sus elementos estan ordenados\n", + "notas['Alberto':'Maria']" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Los `DataFrames` almacenan datos tabulares y se pueden interpretar de dos formas:\n", + " * Como un array de Numpy en 2D donde cada columna puede ser de un tipo distinto y tiene un nombre\n", + " * Como un conjunto de `Series` que comparten un índice" + ] + }, + { + "cell_type": "code", + "execution_count": 154, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "DatetimeIndex(['2017-01-01', '2017-01-02', '2017-01-03', '2017-01-04',\n", + " '2017-01-05', '2017-01-06'],\n", + " dtype='datetime64[ns]', freq='D')" + ] + }, + "execution_count": 154, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "import pandas as pd\n", + "\n", + "fechas = pd.date_range('20170101', periods=6)\n", + "fechas" + ] + }, + { + "cell_type": "code", + "execution_count": 54, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "array([[-0.41107362, 0.86816782, -0.31524608, -1.76414532],\n", + " [ 0.2205041 , -0.81011535, -0.08536222, -0.584649 ],\n", + " [ 1.09432815, 0.44069706, 2.49854954, 0.30676712],\n", + " [ 1.04179274, 0.77595661, 1.01037487, 1.02258466],\n", + " [ 0.40005611, 1.20123406, 0.02343122, -0.71622316],\n", + " [ 0.05775467, 0.36802248, 2.27177795, 0.08091382]])" + ] + }, + "execution_count": 54, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "np.random.randn(6, 4)" + ] + }, + { + "cell_type": "code", + "execution_count": 155, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "['A', 'B', 'C', 'D']" + ] + }, + "execution_count": 155, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "list('ABCD')" + ] + }, + { + "cell_type": "code", + "execution_count": 158, "metadata": {}, "outputs": [ { @@ -959,109 +1049,124 @@ " \n", " \n", " A\n", - " D\n", " B\n", + " C\n", + " D\n", " \n", " \n", " \n", " \n", " 2017-01-01\n", - " -0.059409\n", - " 0.119760\n", - " 1.320514\n", + " 0.539921\n", + " -1.200391\n", + " -4.236204\n", + " 0.564074\n", " \n", " \n", " 2017-01-02\n", - " 0.176690\n", - " -1.394332\n", - " -0.344336\n", + " -0.541448\n", + " -0.808080\n", + " -1.175375\n", + " -1.049522\n", " \n", " \n", " 2017-01-03\n", - " -0.633423\n", - " 0.592692\n", - " -1.608801\n", + " 1.921935\n", + " 0.970826\n", + " 0.567789\n", + " 1.528788\n", " \n", " \n", " 2017-01-04\n", - " -0.160039\n", - " -1.513424\n", - " -0.465897\n", + " -1.367683\n", + " -0.833853\n", + " -1.661884\n", + " 0.261409\n", " \n", " \n", " 2017-01-05\n", - " 0.510519\n", - " -0.048374\n", - " 2.663877\n", + " 0.141583\n", + " -0.515125\n", + " 0.299264\n", + " 0.834499\n", " \n", " \n", " 2017-01-06\n", - " -1.628248\n", - " -1.491014\n", - " -1.457557\n", + " -0.156485\n", + " -1.199526\n", + " 0.654982\n", + " -0.700319\n", " \n", " \n", "\n", "" ], "text/plain": [ - " A D B\n", - "2017-01-01 -0.059409 0.119760 1.320514\n", - "2017-01-02 0.176690 -1.394332 -0.344336\n", - "2017-01-03 -0.633423 0.592692 -1.608801\n", - "2017-01-04 -0.160039 -1.513424 -0.465897\n", - "2017-01-05 0.510519 -0.048374 2.663877\n", - "2017-01-06 -1.628248 -1.491014 -1.457557" + " A B C D\n", + "2017-01-01 0.539921 -1.200391 -4.236204 0.564074\n", + "2017-01-02 -0.541448 -0.808080 -1.175375 -1.049522\n", + "2017-01-03 1.921935 0.970826 0.567789 1.528788\n", + "2017-01-04 -1.367683 -0.833853 -1.661884 0.261409\n", + "2017-01-05 0.141583 -0.515125 0.299264 0.834499\n", + "2017-01-06 -0.156485 -1.199526 0.654982 -0.700319" ] }, - "execution_count": 63, + "execution_count": 158, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "cols = [\"A\", \"D\", \"B\"]\n", - "df[cols]" - ] - }, - { - "cell_type": "code", - "execution_count": 64, - "metadata": {}, - "outputs": [], - "source": [ - "df3 = df.reset_index()" + "# se puede crear un DataFrame a partir de un array de Numpy, indicando el indice a usar (fechas en este caso)\n", + "# y el nombre de las columnas\n", + "# ['A', 'B', 'C', 'D']\n", + "import numpy as np\n", + "import pandas as pd\n", + "\n", + "df = pd.DataFrame(np.random.randn(6, 4), index=fechas, columns=list('ABCD'))\n", + "df" ] }, { "cell_type": "code", - "execution_count": 65, + "execution_count": 169, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "0 2017-01-01\n", - "1 2017-01-02\n", - "2 2017-01-03\n", - "3 2017-01-04\n", - "4 2017-01-05\n", - "5 2017-01-06\n", - "Name: index, dtype: datetime64[ns]" + "A float64\n", + "B float64\n", + "C float64\n", + "D float64\n", + "dtype: object" ] }, - "execution_count": 65, + "execution_count": 169, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "df3[\"index\"]" + "df.dtypes" ] }, { "cell_type": "code", - "execution_count": 66, + "execution_count": 181, + "metadata": {}, + "outputs": [], + "source": [ + "df1 = pd.DataFrame(\n", + " [[1, \"Alberto\", True], [5.0, \"María\", False], [10, \"Juan\", True], [12, \"Tiago\", True]], \n", + " index=[1, 2, 3, 4], \n", + " columns=[\"valor\", \"nombre\", \"es_valido\"]\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 182, "metadata": {}, "outputs": [ { @@ -1085,147 +1190,83 @@ " \n", " \n", " \n", - " A\n", - " B\n", - " C\n", - " D\n", + " valor\n", + " nombre\n", + " es_valido\n", " \n", " \n", " \n", " \n", - " 2017-01-02\n", - " 0.176690\n", - " -0.344336\n", - " 1.432409\n", - " -1.394332\n", + " 1\n", + " 1.0\n", + " Alberto\n", + " True\n", " \n", " \n", - " 2017-01-03\n", - " -0.633423\n", - " -1.608801\n", - " 0.299164\n", - " 0.592692\n", + " 2\n", + " 5.0\n", + " María\n", + " False\n", " \n", " \n", - " 2017-01-04\n", - " -0.160039\n", - " -0.465897\n", - " 0.978880\n", - " -1.513424\n", + " 3\n", + " 10.0\n", + " Juan\n", + " True\n", + " \n", + " \n", + " 4\n", + " 12.0\n", + " Tiago\n", + " True\n", " \n", " \n", "\n", "" ], "text/plain": [ - " A B C D\n", - "2017-01-02 0.176690 -0.344336 1.432409 -1.394332\n", - "2017-01-03 -0.633423 -1.608801 0.299164 0.592692\n", - "2017-01-04 -0.160039 -0.465897 0.978880 -1.513424" + " valor nombre es_valido\n", + "1 1.0 Alberto True\n", + "2 5.0 María False\n", + "3 10.0 Juan True\n", + "4 12.0 Tiago True" ] }, - "execution_count": 66, + "execution_count": 182, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "# tambien podemos acceder a un subconjunto de las filas\n", - "df[1:4]" + "df1" ] }, { "cell_type": "code", - "execution_count": 67, + "execution_count": 184, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "2017-01-02 0.176690\n", - "2017-01-03 -0.633423\n", - "2017-01-04 -0.160039\n", - "Freq: D, Name: A, dtype: float64" + "valor float64\n", + "nombre object\n", + "es_valido bool\n", + "dtype: object" ] }, - "execution_count": 67, + "execution_count": 184, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "# y combinar ambas cosas\n", - "df['A'][1:4]" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Pandas también tiene otros métodos de acceso más avanzados:\n", - " * *Indexing and Selecting Data* http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing \n", - " * *Multiindexing/Advanced indexing* http://pandas.pydata.org/pandas-docs/stable/advanced.html#advanced" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "##### Selección por etiquetas\n", - "\n", - "Método `.loc`. Algunos ejemplos:" + "df1.dtypes" ] }, { "cell_type": "code", - "execution_count": 68, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "A -0.059409\n", - "B 1.320514\n", - "Name: 2017-01-01 00:00:00, dtype: float64" - ] - }, - "execution_count": 68, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "# en este caso, los puntos finales SI se incluyen\n", - "df.iloc[0][['A','B']]" - ] - }, - { - "cell_type": "code", - "execution_count": 69, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "A -0.633423\n", - "B -1.608801\n", - "C 0.299164\n", - "D 0.592692\n", - "Name: 2017-01-03 00:00:00, dtype: float64" - ] - }, - "execution_count": 69, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "df.loc['20170103']" - ] - }, - { - "cell_type": "code", - "execution_count": 70, + "execution_count": 186, "metadata": {}, "outputs": [ { @@ -1250,60 +1291,83 @@ " \n", " \n", " A\n", + " B\n", + " C\n", " D\n", + " E\n", + " F\n", " \n", " \n", " \n", " \n", - " 2017-01-02\n", - " 0.17669\n", - " -1.394332\n", + " 1\n", + " 1.0\n", + " 2013-01-02\n", + " 2.0\n", + " 3\n", + " test\n", + " foo\n", + " \n", + " \n", + " 2\n", + " 1.0\n", + " 2013-01-02\n", + " 3.0\n", + " 3\n", + " train\n", + " foo\n", + " \n", + " \n", + " 3\n", + " 1.0\n", + " 2013-01-02\n", + " 4.0\n", + " 3\n", + " test\n", + " foo\n", + " \n", + " \n", + " 4\n", + " 1.0\n", + " 2013-01-02\n", + " NaN\n", + " 3\n", + " train\n", + " foo\n", " \n", " \n", "\n", "" ], "text/plain": [ - " A D\n", - "2017-01-02 0.17669 -1.394332" + " A B C D E F\n", + "1 1.0 2013-01-02 2.0 3 test foo\n", + "2 1.0 2013-01-02 3.0 3 train foo\n", + "3 1.0 2013-01-02 4.0 3 test foo\n", + "4 1.0 2013-01-02 NaN 3 train foo" ] }, - "execution_count": 70, + "execution_count": 186, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "df.iloc[[1], [0, 3]]" - ] - }, - { - "cell_type": "code", - "execution_count": 71, - "metadata": {}, - "outputs": [ - { - "ename": "KeyError", - "evalue": "\"['index'] not in index\"", - "output_type": "error", - "traceback": [ - "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[0;31mKeyError\u001b[0m Traceback (most recent call last)", - "Cell \u001b[0;32mIn [71], line 1\u001b[0m\n\u001b[0;32m----> 1\u001b[0m df3 \u001b[38;5;241m=\u001b[39m df[[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mB\u001b[39m\u001b[38;5;124m\"\u001b[39m, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mA\u001b[39m\u001b[38;5;124m\"\u001b[39m, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mD\u001b[39m\u001b[38;5;124m\"\u001b[39m, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mindex\u001b[39m\u001b[38;5;124m\"\u001b[39m, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mC\u001b[39m\u001b[38;5;124m\"\u001b[39m]]\n", - "File \u001b[0;32m~/miniconda3/lib/python3.9/site-packages/pandas/core/frame.py:4096\u001b[0m, in \u001b[0;36mDataFrame.__getitem__\u001b[0;34m(self, key)\u001b[0m\n\u001b[1;32m 4094\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m is_iterator(key):\n\u001b[1;32m 4095\u001b[0m key \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mlist\u001b[39m(key)\n\u001b[0;32m-> 4096\u001b[0m indexer \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mcolumns\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_get_indexer_strict\u001b[49m\u001b[43m(\u001b[49m\u001b[43mkey\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mcolumns\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m)\u001b[49m[\u001b[38;5;241m1\u001b[39m]\n\u001b[1;32m 4098\u001b[0m \u001b[38;5;66;03m# take() does not accept boolean indexers\u001b[39;00m\n\u001b[1;32m 4099\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mgetattr\u001b[39m(indexer, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mdtype\u001b[39m\u001b[38;5;124m\"\u001b[39m, \u001b[38;5;28;01mNone\u001b[39;00m) \u001b[38;5;241m==\u001b[39m \u001b[38;5;28mbool\u001b[39m:\n", - "File \u001b[0;32m~/miniconda3/lib/python3.9/site-packages/pandas/core/indexes/base.py:6199\u001b[0m, in \u001b[0;36mIndex._get_indexer_strict\u001b[0;34m(self, key, axis_name)\u001b[0m\n\u001b[1;32m 6196\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[1;32m 6197\u001b[0m keyarr, indexer, new_indexer \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_reindex_non_unique(keyarr)\n\u001b[0;32m-> 6199\u001b[0m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_raise_if_missing\u001b[49m\u001b[43m(\u001b[49m\u001b[43mkeyarr\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mindexer\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43maxis_name\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 6201\u001b[0m keyarr \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mtake(indexer)\n\u001b[1;32m 6202\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(key, Index):\n\u001b[1;32m 6203\u001b[0m \u001b[38;5;66;03m# GH 42790 - Preserve name from an Index\u001b[39;00m\n", - "File \u001b[0;32m~/miniconda3/lib/python3.9/site-packages/pandas/core/indexes/base.py:6251\u001b[0m, in \u001b[0;36mIndex._raise_if_missing\u001b[0;34m(self, key, indexer, axis_name)\u001b[0m\n\u001b[1;32m 6248\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mKeyError\u001b[39;00m(\u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mNone of [\u001b[39m\u001b[38;5;132;01m{\u001b[39;00mkey\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m] are in the [\u001b[39m\u001b[38;5;132;01m{\u001b[39;00maxis_name\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m]\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[1;32m 6250\u001b[0m not_found \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mlist\u001b[39m(ensure_index(key)[missing_mask\u001b[38;5;241m.\u001b[39mnonzero()[\u001b[38;5;241m0\u001b[39m]]\u001b[38;5;241m.\u001b[39munique())\n\u001b[0;32m-> 6251\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mKeyError\u001b[39;00m(\u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;132;01m{\u001b[39;00mnot_found\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m not in index\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n", - "\u001b[0;31mKeyError\u001b[0m: \"['index'] not in index\"" - ] - } - ], - "source": [ - "df3 = df[[\"B\", \"A\", \"D\", \"index\", \"C\"]]" + "# tambien se puede crear un DataFrame a partir de un diccionario con objetos que se pueden convertir en Series\n", + "df2 = pd.DataFrame({ \n", + " 'A' : 1.,\n", + " 'B' : pd.Timestamp('20130102'),\n", + " 'C' : pd.Series([1, 2, 3, 4], index=[0, 1, 2, 3], dtype='float32'),\n", + " 'D' : np.array([3] * 4, dtype='int32'),\n", + " 'E' : (\"test\",\"train\",\"test\",\"train\"),\n", + " 'F' : 'foo'\n", + "}, index=[1, 2, 3, 4])\n", + "df2" ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 191, "metadata": {}, "outputs": [ { @@ -1327,87 +1391,75 @@ " \n", " \n", " \n", - " B\n", - " C\n", - " D\n", + " notas\n", + " asistencia\n", " \n", " \n", " \n", " \n", - " 2017-01-01\n", - " -1.435808\n", - " 0.031140\n", - " 3.411992\n", + " Alberto\n", + " 1.0\n", + " False\n", " \n", " \n", - " 2017-01-02\n", - " -1.420813\n", - " -0.933690\n", - " 0.293323\n", + " Maria\n", + " 3.0\n", + " NaN\n", " \n", " \n", - " 2017-01-03\n", - " -0.469941\n", - " -0.741574\n", - " -0.295122\n", + " Juan\n", + " 2.0\n", + " True\n", " \n", " \n", - " 2017-01-04\n", - " -0.978453\n", - " -0.569035\n", - " -0.021796\n", + " Andres\n", + " NaN\n", + " True\n", + " \n", + " \n", + " Pepito\n", + " NaN\n", + " NaN\n", " \n", " \n", "\n", "" ], "text/plain": [ - " B C D\n", - "2017-01-01 -1.435808 0.031140 3.411992\n", - "2017-01-02 -1.420813 -0.933690 0.293323\n", - "2017-01-03 -0.469941 -0.741574 -0.295122\n", - "2017-01-04 -0.978453 -0.569035 -0.021796" + " notas asistencia\n", + "Alberto 1.0 False\n", + "Maria 3.0 NaN\n", + "Juan 2.0 True\n", + "Andres NaN True\n", + "Pepito NaN NaN" ] }, - "execution_count": 252, + "execution_count": 191, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "df3.loc[\"2017-01-01\":\"2017-01-04\", [\"B\", \"C\", \"D\"]]" + "datos = {\n", + " \"notas\": pd.Series([1, 2, 3], index=[\"Alberto\", \"Juan\", \"Maria\"]),\n", + " \"asistencia\": pd.Series([True, False, True], index=[\"Juan\", \"Alberto\", \"Andres\"])\n", + "}\n", + "\n", + "pd.DataFrame(datos, index=[\"Alberto\", \"Maria\", \"Juan\", \"Andres\", \"Pepito\"])" ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 239, "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "2017-01-01 0.031140\n", - "2017-01-02 -0.933690\n", - "2017-01-03 -0.741574\n", - "2017-01-04 -0.569035\n", - "2017-01-05 -0.512109\n", - "2017-01-06 0.147745\n", - "Freq: D, Name: C, dtype: float64" - ] - }, - "execution_count": 255, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ - "df3[\"C\"]\n", - "df3.loc[:, \"C\"]" + "notas_df = pd.DataFrame({\"notas\": [5, 7, 10], \"asistencia\": [True, False, True]}, index=[\"Alberto\", \"Maria\", \"Juan\"])" ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 252, "metadata": {}, "outputs": [ { @@ -1431,166 +1483,191 @@ " \n", " \n", " \n", - " A\n", - " B\n", - " C\n", - " D\n", + " notas\n", + " asistencia\n", " \n", " \n", " \n", " \n", - " 2017-01-01\n", - " 1\n", - " -1.435808\n", - " 0.031140\n", - " 3.411992\n", - " \n", - " \n", - " 2017-01-02\n", - " 2\n", - " -1.420813\n", - " -0.933690\n", - " 0.293323\n", - " \n", - " \n", - " 2017-01-03\n", - " 3\n", - " -0.469941\n", - " -0.741574\n", - " -0.295122\n", - " \n", - " \n", - " 2017-01-04\n", - " 4\n", - " -0.978453\n", - " -0.569035\n", - " -0.021796\n", - " \n", - " \n", - " 2017-01-05\n", - " 5\n", - " 1.877841\n", - " -0.512109\n", - " -1.126491\n", - " \n", - " \n", - " 2017-01-06\n", - " 6\n", - " 1.280605\n", - " 0.147745\n", - " 0.522766\n", + " Juan\n", + " 10\n", + " True\n", " \n", " \n", "\n", "" ], "text/plain": [ - " A B C D\n", - "2017-01-01 1 -1.435808 0.031140 3.411992\n", - "2017-01-02 2 -1.420813 -0.933690 0.293323\n", - "2017-01-03 3 -0.469941 -0.741574 -0.295122\n", - "2017-01-04 4 -0.978453 -0.569035 -0.021796\n", - "2017-01-05 5 1.877841 -0.512109 -1.126491\n", - "2017-01-06 6 1.280605 0.147745 0.522766" + " notas asistencia\n", + "Juan 10 True" ] }, - "execution_count": 248, + "execution_count": 252, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "df.loc[:, [\"A\", \"B\", \"C\", \"D\"]]" + "mask = notas_df.index.str.startswith(\"A\")\n", + "mask1 = notas_df[\"notas\"] > 5\n", + "mask2 = notas_df[\"asistencia\"]\n", + "\n", + "notas_df[mask1 & mask2]" ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 234, + "metadata": {}, + "outputs": [], + "source": [ + "import re\n", + "\n", + "mask = notas.index.str.match(r\".*[Aeiou]$\", flags=re.IGNORECASE)" + ] + }, + { + "cell_type": "code", + "execution_count": 235, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "4" + "Alberto 4.5\n", + "Alicia 6.5\n", + "dtype: float64" ] }, - "execution_count": 55, + "execution_count": 235, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "df.shape[1]" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "###### Selección por posición\n", - "\n", - "Método `.iloc`. Muy parecido a como lo hace Numpy. Algunos ejemplos:" + "notas[mask]" ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 227, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "A -1.062694\n", - "B -1.253631\n", - "C 0.347061\n", - "D 1.040679\n", - "Name: 2017-01-04 00:00:00, dtype: float64" + "Alberto 4.5\n", + "David 9.8\n", + "Alicia 6.5\n", + "Adrian 8.4\n", + "dtype: float64" ] }, - "execution_count": 56, + "execution_count": 227, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "# cuarta fila\n", - "df.iloc[3]" + "notas" ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 238, "metadata": {}, "outputs": [ { - "name": "stdout", - "output_type": "stream", - "text": [ - " A B\n", - "2017-01-04 -1.062694 -1.253631\n", - "2017-01-05 -0.728814 0.365283\n" - ] - }, + "data": { + "text/plain": [ + "Index(['David', 'Alicia', 'Adrian'], dtype='object')" + ] + }, + "execution_count": 238, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "notas[notas > 5].index" + ] + }, + { + "cell_type": "code", + "execution_count": 175, + "metadata": {}, + "outputs": [ { "data": { "text/plain": [ - "array([[-1.06269414, -1.2536307 ],\n", - " [-0.72881379, 0.36528288]])" + "A float64\n", + "B datetime64[s]\n", + "C float32\n", + "D int32\n", + "E object\n", + "F object\n", + "dtype: object" ] }, - "execution_count": 57, + "execution_count": 175, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "print((df.iloc[3:5,0:2]))\n", - "df.values[3:5, 0:2]" + "# tipos de cada una de las columnas\n", + "df2.dtypes" ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 60, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Index(['A', 'B', 'C', 'D', 'E', 'F'], dtype='object')" + ] + }, + "execution_count": 60, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# nombres de las columnas\n", + "df2.columns" + ] + }, + { + "cell_type": "code", + "execution_count": 258, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "1 2.0\n", + "2 3.0\n", + "3 4.0\n", + "4 NaN\n", + "Name: C, dtype: float32" + ] + }, + "execution_count": 258, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# podemos acceder a cada una de las columnas por su nombre, devolviendo una Serie\n", + "df2[\"C\"]" + ] + }, + { + "cell_type": "code", + "execution_count": 256, "metadata": {}, "outputs": [ { @@ -1614,58 +1691,50 @@ " \n", " \n", " \n", - " A\n", " C\n", " \n", " \n", " \n", " \n", - " 2017-01-02\n", - " -1.118794\n", - " -0.864295\n", + " 1\n", + " 2.0\n", " \n", " \n", - " 2017-01-03\n", - " -1.073106\n", - " 0.174746\n", + " 2\n", + " 3.0\n", " \n", " \n", - " 2017-01-05\n", - " -0.728814\n", - " -0.009947\n", + " 3\n", + " 4.0\n", + " \n", + " \n", + " 4\n", + " NaN\n", " \n", " \n", "\n", "" ], "text/plain": [ - " A C\n", - "2017-01-02 -1.118794 -0.864295\n", - "2017-01-03 -1.073106 0.174746\n", - "2017-01-05 -0.728814 -0.009947" + " C\n", + "1 2.0\n", + "2 3.0\n", + "3 4.0\n", + "4 NaN" ] }, - "execution_count": 58, + "execution_count": 256, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "df.iloc[[1,2,4],[0,2]]" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "##### Operaciones\n", - "\n", - "Funcionalidad básica: https://pandas.pydata.org/pandas-docs/stable/basics.html" + "df2[[\"C\"]]" ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 264, "metadata": {}, "outputs": [ { @@ -1690,89 +1759,67 @@ " \n", " \n", " A\n", - " B\n", - " C\n", " D\n", " \n", " \n", " \n", " \n", " 2017-01-01\n", - " 0.229431\n", - " 1.068499\n", - " 1.073311\n", - " 0.427448\n", + " 0.539921\n", + " 0.564074\n", " \n", " \n", " 2017-01-02\n", - " -1.118794\n", - " 2.368321\n", - " -0.864295\n", - " 0.623044\n", + " -0.541448\n", + " -1.049522\n", " \n", " \n", " 2017-01-03\n", - " -1.073106\n", - " 0.320843\n", - " 0.174746\n", - " 0.957146\n", + " 1.921935\n", + " 1.528788\n", " \n", " \n", " 2017-01-04\n", - " -1.062694\n", - " -1.253631\n", - " 0.347061\n", - " 1.040679\n", + " -1.367683\n", + " 0.261409\n", " \n", " \n", " 2017-01-05\n", - " -0.728814\n", - " 0.365283\n", - " -0.009947\n", - " 0.614714\n", + " 0.141583\n", + " 0.834499\n", " \n", " \n", " 2017-01-06\n", - " -1.674036\n", - " -0.448753\n", - " 1.405428\n", - " -0.051746\n", + " -0.156485\n", + " -0.700319\n", " \n", " \n", "\n", "" ], "text/plain": [ - " A B C D\n", - "2017-01-01 0.229431 1.068499 1.073311 0.427448\n", - "2017-01-02 -1.118794 2.368321 -0.864295 0.623044\n", - "2017-01-03 -1.073106 0.320843 0.174746 0.957146\n", - "2017-01-04 -1.062694 -1.253631 0.347061 1.040679\n", - "2017-01-05 -0.728814 0.365283 -0.009947 0.614714\n", - "2017-01-06 -1.674036 -0.448753 1.405428 -0.051746" + " A D\n", + "2017-01-01 0.539921 0.564074\n", + "2017-01-02 -0.541448 -1.049522\n", + "2017-01-03 1.921935 1.528788\n", + "2017-01-04 -1.367683 0.261409\n", + "2017-01-05 0.141583 0.834499\n", + "2017-01-06 -0.156485 -0.700319" ] }, - "execution_count": 59, + "execution_count": 264, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "df" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "df[\"F\"] = 0" + "# tambien a varias, obteniendo otro DataFrame\n", + "df[ ['A', 'D'] ]" ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 265, "metadata": {}, "outputs": [ { @@ -1797,104 +1844,109 @@ " \n", " \n", " A\n", - " B\n", - " C\n", " D\n", - " F\n", - " G\n", + " B\n", " \n", " \n", " \n", " \n", " 2017-01-01\n", - " 0.229431\n", - " 1.068499\n", - " 1.073311\n", - " 0.427448\n", - " 0\n", - " 1\n", + " 0.539921\n", + " 0.564074\n", + " -1.200391\n", " \n", " \n", " 2017-01-02\n", - " -1.118794\n", - " 2.368321\n", - " -0.864295\n", - " 0.623044\n", - " 0\n", - " 2\n", + " -0.541448\n", + " -1.049522\n", + " -0.808080\n", " \n", " \n", " 2017-01-03\n", - " -1.073106\n", - " 0.320843\n", - " 0.174746\n", - " 0.957146\n", - " 0\n", - " 3\n", + " 1.921935\n", + " 1.528788\n", + " 0.970826\n", " \n", " \n", " 2017-01-04\n", - " -1.062694\n", - " -1.253631\n", - " 0.347061\n", - " 1.040679\n", - " 0\n", - " 4\n", + " -1.367683\n", + " 0.261409\n", + " -0.833853\n", " \n", " \n", " 2017-01-05\n", - " -0.728814\n", - " 0.365283\n", - " -0.009947\n", - " 0.614714\n", - " 0\n", - " 5\n", + " 0.141583\n", + " 0.834499\n", + " -0.515125\n", " \n", " \n", " 2017-01-06\n", - " -1.674036\n", - " -0.448753\n", - " 1.405428\n", - " -0.051746\n", - " 0\n", - " 6\n", + " -0.156485\n", + " -0.700319\n", + " -1.199526\n", " \n", " \n", "\n", "" ], "text/plain": [ - " A B C D F G\n", - "2017-01-01 0.229431 1.068499 1.073311 0.427448 0 1\n", - "2017-01-02 -1.118794 2.368321 -0.864295 0.623044 0 2\n", - "2017-01-03 -1.073106 0.320843 0.174746 0.957146 0 3\n", - "2017-01-04 -1.062694 -1.253631 0.347061 1.040679 0 4\n", - "2017-01-05 -0.728814 0.365283 -0.009947 0.614714 0 5\n", - "2017-01-06 -1.674036 -0.448753 1.405428 -0.051746 0 6" + " A D B\n", + "2017-01-01 0.539921 0.564074 -1.200391\n", + "2017-01-02 -0.541448 -1.049522 -0.808080\n", + "2017-01-03 1.921935 1.528788 0.970826\n", + "2017-01-04 -1.367683 0.261409 -0.833853\n", + "2017-01-05 0.141583 0.834499 -0.515125\n", + "2017-01-06 -0.156485 -0.700319 -1.199526" ] }, - "execution_count": 61, + "execution_count": 265, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "df[\"G\"] = [1, 2, 3, 4, 5, 6]\n", - "df" + "cols = [\"A\", \"D\", \"B\"]\n", + "df[cols]" ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 64, "metadata": {}, "outputs": [], "source": [ - "df[\"B\"] = 1" + "df3 = df.reset_index()" ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 65, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "0 2017-01-01\n", + "1 2017-01-02\n", + "2 2017-01-03\n", + "3 2017-01-04\n", + "4 2017-01-05\n", + "5 2017-01-06\n", + "Name: index, dtype: datetime64[ns]" + ] + }, + "execution_count": 65, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df3[\"index\"]" + ] + }, + { + "cell_type": "code", + "execution_count": 66, "metadata": {}, "outputs": [ { @@ -1922,100 +1974,197 @@ " B\n", " C\n", " D\n", - " F\n", - " G\n", " \n", " \n", " \n", " \n", - " 2017-01-01\n", - " 0.229431\n", - " 1\n", - " 1.073311\n", - " 0.427448\n", - " 0\n", - " 1\n", - " \n", - " \n", " 2017-01-02\n", - " -1.118794\n", - " 1\n", - " -0.864295\n", - " 0.623044\n", - " 0\n", - " 2\n", + " 0.176690\n", + " -0.344336\n", + " 1.432409\n", + " -1.394332\n", " \n", " \n", " 2017-01-03\n", - " -1.073106\n", - " 1\n", - " 0.174746\n", - " 0.957146\n", - " 0\n", - " 3\n", + " -0.633423\n", + " -1.608801\n", + " 0.299164\n", + " 0.592692\n", " \n", " \n", " 2017-01-04\n", - " -1.062694\n", - " 1\n", - " 0.347061\n", - " 1.040679\n", - " 0\n", - " 4\n", - " \n", - " \n", - " 2017-01-05\n", - " -0.728814\n", - " 1\n", - " -0.009947\n", - " 0.614714\n", - " 0\n", - " 5\n", - " \n", - " \n", - " 2017-01-06\n", - " -1.674036\n", - " 1\n", - " 1.405428\n", - " -0.051746\n", - " 0\n", - " 6\n", + " -0.160039\n", + " -0.465897\n", + " 0.978880\n", + " -1.513424\n", " \n", " \n", "\n", "" ], "text/plain": [ - " A B C D F G\n", - "2017-01-01 0.229431 1 1.073311 0.427448 0 1\n", - "2017-01-02 -1.118794 1 -0.864295 0.623044 0 2\n", - "2017-01-03 -1.073106 1 0.174746 0.957146 0 3\n", - "2017-01-04 -1.062694 1 0.347061 1.040679 0 4\n", - "2017-01-05 -0.728814 1 -0.009947 0.614714 0 5\n", - "2017-01-06 -1.674036 1 1.405428 -0.051746 0 6" + " A B C D\n", + "2017-01-02 0.176690 -0.344336 1.432409 -1.394332\n", + "2017-01-03 -0.633423 -1.608801 0.299164 0.592692\n", + "2017-01-04 -0.160039 -0.465897 0.978880 -1.513424" ] }, - "execution_count": 63, + "execution_count": 66, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "df" + "# tambien podemos acceder a un subconjunto de las filas\n", + "df[1:4]" ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 67, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "2017-01-02 0.176690\n", + "2017-01-03 -0.633423\n", + "2017-01-04 -0.160039\n", + "Freq: D, Name: A, dtype: float64" + ] + }, + "execution_count": 67, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ - "df[\"H\"] = pd.Series([1, 2, 3, 4], index=pd.date_range('20170110', periods=4))" + "# y combinar ambas cosas\n", + "df['A'][1:4]" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Pandas también tiene otros métodos de acceso más avanzados:\n", + " * *Indexing and Selecting Data* http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing \n", + " * *Multiindexing/Advanced indexing* http://pandas.pydata.org/pandas-docs/stable/advanced.html#advanced" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "##### Selección por etiquetas\n", + "\n", + "Método `.loc`. Algunos ejemplos:" ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 68, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "A -0.059409\n", + "B 1.320514\n", + "Name: 2017-01-01 00:00:00, dtype: float64" + ] + }, + "execution_count": 68, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# en este caso, los puntos finales SI se incluyen\n", + "df.iloc[0][['A','B']]" + ] + }, + { + "cell_type": "code", + "execution_count": 69, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "A -0.633423\n", + "B -1.608801\n", + "C 0.299164\n", + "D 0.592692\n", + "Name: 2017-01-03 00:00:00, dtype: float64" + ] + }, + "execution_count": 69, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df.loc['20170103']" + ] + }, + { + "cell_type": "code", + "execution_count": 70, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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" + ], + "text/plain": [ + " A D\n", + "2017-01-02 0.17669 -1.394332" + ] + }, + "execution_count": 70, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df.iloc[[1], [0, 3]]" + ] + }, + { + "cell_type": "code", + "execution_count": 271, "metadata": {}, "outputs": [ { @@ -2043,91 +2192,77 @@ " B\n", " C\n", " D\n", - " index\n", - " H\n", " \n", " \n", " \n", " \n", " 2017-01-01\n", - " 1\n", - " -1.435808\n", - " 0.031140\n", - " 3.411992\n", - " 1\n", - " NaN\n", + " 0.539921\n", + " -1.200391\n", + " -4.236204\n", + " 0.564074\n", " \n", " \n", " 2017-01-02\n", - " 2\n", - " -1.420813\n", - " -0.933690\n", - " 0.293323\n", - " 2\n", - " 1.0\n", + " -0.541448\n", + " -0.808080\n", + " -1.175375\n", + " -1.049522\n", " \n", " \n", " 2017-01-03\n", - " 3\n", - " -0.469941\n", - " -0.741574\n", - " -0.295122\n", - " 3\n", - " 2.0\n", + " 1.921935\n", + " 0.970826\n", + " 0.567789\n", + " 1.528788\n", " \n", " \n", " 2017-01-04\n", - " 4\n", - " -0.978453\n", - " -0.569035\n", - " -0.021796\n", - " 4\n", - " 3.0\n", + " -1.367683\n", + " -0.833853\n", + " -1.661884\n", + " 0.261409\n", " \n", " \n", " 2017-01-05\n", - " 5\n", - " 1.877841\n", - " -0.512109\n", - " -1.126491\n", - " 5\n", - " 4.0\n", + " 0.141583\n", + " -0.515125\n", + " 0.299264\n", + " 0.834499\n", " \n", " \n", " 2017-01-06\n", - " 6\n", - " 1.280605\n", - " 0.147745\n", - " 0.522766\n", - " 6\n", - " 5.0\n", + " -0.156485\n", + " -1.199526\n", + " 0.654982\n", + " -0.700319\n", " \n", " \n", "\n", "" ], "text/plain": [ - " A B C D index H\n", - "2017-01-01 1 -1.435808 0.031140 3.411992 1 NaN\n", - "2017-01-02 2 -1.420813 -0.933690 0.293323 2 1.0\n", - "2017-01-03 3 -0.469941 -0.741574 -0.295122 3 2.0\n", - "2017-01-04 4 -0.978453 -0.569035 -0.021796 4 3.0\n", - "2017-01-05 5 1.877841 -0.512109 -1.126491 5 4.0\n", - "2017-01-06 6 1.280605 0.147745 0.522766 6 5.0" + " A B C D\n", + "2017-01-01 0.539921 -1.200391 -4.236204 0.564074\n", + "2017-01-02 -0.541448 -0.808080 -1.175375 -1.049522\n", + "2017-01-03 1.921935 0.970826 0.567789 1.528788\n", + "2017-01-04 -1.367683 -0.833853 -1.661884 0.261409\n", + "2017-01-05 0.141583 -0.515125 0.299264 0.834499\n", + "2017-01-06 -0.156485 -1.199526 0.654982 -0.700319" ] }, - "execution_count": 260, + "execution_count": 271, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "df[\"F\"] = [5, 6, 7, 8, 9, 10]" + "df" ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 290, "metadata": {}, "outputs": [ { @@ -2151,62 +2286,68 @@ " \n", " \n", " \n", + " A\n", + " B\n", + " C\n", " D\n", - " index\n", " \n", " \n", " \n", " \n", " 2017-01-01\n", - " 3.411992\n", - " 1\n", + " 0.539921\n", + " -1.200391\n", + " -4.236204\n", + " 0.564074\n", " \n", " \n", " 2017-01-02\n", - " 0.293323\n", - " 2\n", + " -0.541448\n", + " -0.808080\n", + " -1.175375\n", + " -1.049522\n", " \n", " \n", " 2017-01-03\n", - " -0.295122\n", - " 3\n", + " 1.921935\n", + " 0.970826\n", + " 0.567789\n", + " 1.528788\n", " \n", " \n", " 2017-01-04\n", - " -0.021796\n", - " 4\n", + " -1.367683\n", + " -0.833853\n", + " -1.661884\n", + " 0.261409\n", " \n", " \n", " 2017-01-05\n", - " -1.126491\n", - " 5\n", - " \n", - " \n", - " 2017-01-06\n", - " 0.522766\n", - " 6\n", + " 0.141583\n", + " -0.515125\n", + " 0.299264\n", + " 0.834499\n", " \n", " \n", "\n", "" ], "text/plain": [ - " D index\n", - "2017-01-01 3.411992 1\n", - "2017-01-02 0.293323 2\n", - "2017-01-03 -0.295122 3\n", - "2017-01-04 -0.021796 4\n", - "2017-01-05 -1.126491 5\n", - "2017-01-06 0.522766 6" + " A B C D\n", + "2017-01-01 0.539921 -1.200391 -4.236204 0.564074\n", + "2017-01-02 -0.541448 -0.808080 -1.175375 -1.049522\n", + "2017-01-03 1.921935 0.970826 0.567789 1.528788\n", + "2017-01-04 -1.367683 -0.833853 -1.661884 0.261409\n", + "2017-01-05 0.141583 -0.515125 0.299264 0.834499" ] }, - "execution_count": 270, + "execution_count": 290, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "df[[\"D\", \"index\"]]" + "df.loc[\"2017-01-01\":\"2017-01-05\", :]" ] }, { @@ -2235,90 +2376,55 @@ " \n", " \n", " \n", - " A\n", " B\n", " C\n", " D\n", - " index\n", - " H\n", " \n", " \n", " \n", " \n", " 2017-01-01\n", - " 1\n", " -1.435808\n", " 0.031140\n", " 3.411992\n", - " 1\n", - " NaN\n", " \n", " \n", " 2017-01-02\n", - " 2\n", " -1.420813\n", " -0.933690\n", " 0.293323\n", - " 2\n", - " 1.0\n", " \n", " \n", " 2017-01-03\n", - " 3\n", " -0.469941\n", " -0.741574\n", " -0.295122\n", - " 3\n", - " 2.0\n", " \n", " \n", " 2017-01-04\n", - " 4\n", " -0.978453\n", " -0.569035\n", " -0.021796\n", - " 4\n", - " 3.0\n", - " \n", - " \n", - " 2017-01-05\n", - " 5\n", - " 1.877841\n", - " -0.512109\n", - " -1.126491\n", - " 5\n", - " 4.0\n", - " \n", - " \n", - " 2017-01-06\n", - " 6\n", - " 1.280605\n", - " 0.147745\n", - " 0.522766\n", - " 6\n", - " NaN\n", " \n", " \n", "\n", "" ], "text/plain": [ - " A B C D index H\n", - "2017-01-01 1 -1.435808 0.031140 3.411992 1 NaN\n", - "2017-01-02 2 -1.420813 -0.933690 0.293323 2 1.0\n", - "2017-01-03 3 -0.469941 -0.741574 -0.295122 3 2.0\n", - "2017-01-04 4 -0.978453 -0.569035 -0.021796 4 3.0\n", - "2017-01-05 5 1.877841 -0.512109 -1.126491 5 4.0\n", - "2017-01-06 6 1.280605 0.147745 0.522766 6 NaN" + " B C D\n", + "2017-01-01 -1.435808 0.031140 3.411992\n", + "2017-01-02 -1.420813 -0.933690 0.293323\n", + "2017-01-03 -0.469941 -0.741574 -0.295122\n", + "2017-01-04 -0.978453 -0.569035 -0.021796" ] }, - "execution_count": 265, + "execution_count": 252, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "df" + "df3.loc[\"2017-01-01\":\"2017-01-04\", [\"B\", \"C\", \"D\"]]" ] }, { @@ -2327,18 +2433,32 @@ "metadata": {}, "outputs": [ { - "name": "stdout", - "output_type": "stream", - "text": [ - "2017-01-02 1\n", - "2017-01-03 2\n", - "2017-01-04 3\n", - "2017-01-05 4\n", - "2017-01-06 5\n", - "2017-01-07 6\n", - "Freq: D, dtype: int64\n" - ] - }, + "data": { + "text/plain": [ + "2017-01-01 0.031140\n", + "2017-01-02 -0.933690\n", + "2017-01-03 -0.741574\n", + "2017-01-04 -0.569035\n", + "2017-01-05 -0.512109\n", + "2017-01-06 0.147745\n", + "Freq: D, Name: C, dtype: float64" + ] + }, + "execution_count": 255, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df3[\"C\"]\n", + "df3.loc[:, \"C\"]" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ { "data": { "text/html": [ @@ -2364,99 +2484,157 @@ " B\n", " C\n", " D\n", - " F\n", - " G\n", " \n", " \n", " \n", " \n", " 2017-01-01\n", - " 0.229431\n", - " 1\n", - " 1.073311\n", - " 0.427448\n", - " NaN\n", " 1\n", + " -1.435808\n", + " 0.031140\n", + " 3.411992\n", " \n", " \n", " 2017-01-02\n", - " -1.118794\n", - " 1\n", - " -0.864295\n", - " 0.623044\n", - " 1.0\n", " 2\n", + " -1.420813\n", + " -0.933690\n", + " 0.293323\n", " \n", " \n", " 2017-01-03\n", - " -1.073106\n", - " 1\n", - " 0.174746\n", - " 0.957146\n", - " 2.0\n", " 3\n", + " -0.469941\n", + " -0.741574\n", + " -0.295122\n", " \n", " \n", " 2017-01-04\n", - " -1.062694\n", - " 1\n", - " 0.347061\n", - " 1.040679\n", - " 3.0\n", " 4\n", + " -0.978453\n", + " -0.569035\n", + " -0.021796\n", " \n", " \n", " 2017-01-05\n", - " -0.728814\n", - " 1\n", - " -0.009947\n", - " 0.614714\n", - " 4.0\n", " 5\n", + " 1.877841\n", + " -0.512109\n", + " -1.126491\n", " \n", " \n", " 2017-01-06\n", - " -1.674036\n", - " 1\n", - " 1.405428\n", - " -0.051746\n", - " 5.0\n", " 6\n", + " 1.280605\n", + " 0.147745\n", + " 0.522766\n", " \n", " \n", "\n", "" ], "text/plain": [ - " A B C D F G\n", - "2017-01-01 0.229431 1 1.073311 0.427448 NaN 1\n", - "2017-01-02 -1.118794 1 -0.864295 0.623044 1.0 2\n", - "2017-01-03 -1.073106 1 0.174746 0.957146 2.0 3\n", - "2017-01-04 -1.062694 1 0.347061 1.040679 3.0 4\n", - "2017-01-05 -0.728814 1 -0.009947 0.614714 4.0 5\n", - "2017-01-06 -1.674036 1 1.405428 -0.051746 5.0 6" + " A B C D\n", + "2017-01-01 1 -1.435808 0.031140 3.411992\n", + "2017-01-02 2 -1.420813 -0.933690 0.293323\n", + "2017-01-03 3 -0.469941 -0.741574 -0.295122\n", + "2017-01-04 4 -0.978453 -0.569035 -0.021796\n", + "2017-01-05 5 1.877841 -0.512109 -1.126491\n", + "2017-01-06 6 1.280605 0.147745 0.522766" ] }, - "execution_count": 64, + "execution_count": 248, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "# al añadir una nueva columna, esta se alinea con el indice\n", - "s1 = pd.Series([1,2,3,4,5,6], index=pd.date_range('20170102', periods=6))\n", - "print(s1)\n", - "df['F'] = s1\n", - "df" + "df.loc[:, [\"A\", \"B\", \"C\", \"D\"]]" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "4" + ] + }, + "execution_count": 55, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df.shape[1]" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "###### Selección por posición\n", + "\n", + "Método `.iloc`. Muy parecido a como lo hace Numpy. Algunos ejemplos:" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "A -1.062694\n", + "B -1.253631\n", + "C 0.347061\n", + "D 1.040679\n", + "Name: 2017-01-04 00:00:00, dtype: float64" + ] + }, + "execution_count": 56, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# cuarta fila\n", + "df.iloc[3]" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " A B\n", + "2017-01-04 -1.062694 -1.253631\n", + "2017-01-05 -0.728814 0.365283\n" + ] + }, + { + "data": { + "text/plain": [ + "array([[-1.06269414, -1.2536307 ],\n", + " [-0.72881379, 0.36528288]])" + ] + }, + "execution_count": 57, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ - "df[\"H\"] = [1, 2, 3, 4, 5, np.nan]" + "print((df.iloc[3:5,0:2]))\n", + "df.values[3:5, 0:2]" ] }, { @@ -2486,94 +2664,57 @@ " \n", " \n", " A\n", - " B\n", " C\n", - " D\n", - " index\n", - " H\n", " \n", " \n", " \n", " \n", - " 2017-01-01\n", - " 1\n", - " -1.435808\n", - " 0.031140\n", - " 3.411992\n", - " 1\n", - " 1.0\n", - " \n", - " \n", " 2017-01-02\n", - " 2\n", - " -1.420813\n", - " -0.933690\n", - " 0.293323\n", - " 2\n", - " 2.0\n", + " -1.118794\n", + " -0.864295\n", " \n", " \n", " 2017-01-03\n", - " 3\n", - " -0.469941\n", - " -0.741574\n", - " -0.295122\n", - " 3\n", - " 3.0\n", - " \n", - " \n", - " 2017-01-04\n", - " 4\n", - " -0.978453\n", - " -0.569035\n", - " -0.021796\n", - " 4\n", - " 4.0\n", + " -1.073106\n", + " 0.174746\n", " \n", " \n", " 2017-01-05\n", - " 5\n", - " 1.877841\n", - " -0.512109\n", - " -1.126491\n", - " 5\n", - " 5.0\n", - " \n", - " \n", - " 2017-01-06\n", - " 6\n", - " 1.280605\n", - " 0.147745\n", - " 0.522766\n", - " 6\n", - " 0.0\n", + " -0.728814\n", + " -0.009947\n", " \n", " \n", "\n", "" ], "text/plain": [ - " A B C D index H\n", - "2017-01-01 1 -1.435808 0.031140 3.411992 1 1.0\n", - "2017-01-02 2 -1.420813 -0.933690 0.293323 2 2.0\n", - "2017-01-03 3 -0.469941 -0.741574 -0.295122 3 3.0\n", - "2017-01-04 4 -0.978453 -0.569035 -0.021796 4 4.0\n", - "2017-01-05 5 1.877841 -0.512109 -1.126491 5 5.0\n", - "2017-01-06 6 1.280605 0.147745 0.522766 6 0.0" + " A C\n", + "2017-01-02 -1.118794 -0.864295\n", + "2017-01-03 -1.073106 0.174746\n", + "2017-01-05 -0.728814 -0.009947" ] }, - "execution_count": 294, + "execution_count": 58, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "df.fillna(value=0)" + "df.iloc[[1,2,4],[0,2]]" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "##### Operaciones\n", + "\n", + "Funcionalidad básica: https://pandas.pydata.org/pandas-docs/stable/basics.html" ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 291, "metadata": {}, "outputs": [ { @@ -2601,83 +2742,86 @@ " B\n", " C\n", " D\n", - " F\n", - " G\n", " \n", " \n", " \n", " \n", + " 2017-01-01\n", + " 0.539921\n", + " -1.200391\n", + " -4.236204\n", + " 0.564074\n", + " \n", + " \n", " 2017-01-02\n", - " -1.118794\n", - " 1\n", - " -0.864295\n", - " 0.623044\n", - " 1.0\n", - " 2\n", + " -0.541448\n", + " -0.808080\n", + " -1.175375\n", + " -1.049522\n", " \n", " \n", " 2017-01-03\n", - " -1.073106\n", - " 1\n", - " 0.174746\n", - " 0.957146\n", - " 2.0\n", - " 3\n", + " 1.921935\n", + " 0.970826\n", + " 0.567789\n", + " 1.528788\n", " \n", " \n", " 2017-01-04\n", - " -1.062694\n", - " 1\n", - " 0.347061\n", - " 1.040679\n", - " 3.0\n", - " 4\n", + " -1.367683\n", + " -0.833853\n", + " -1.661884\n", + " 0.261409\n", " \n", " \n", " 2017-01-05\n", - " -0.728814\n", - " 1\n", - " -0.009947\n", - " 0.614714\n", - " 4.0\n", - " 5\n", + " 0.141583\n", + " -0.515125\n", + " 0.299264\n", + " 0.834499\n", " \n", " \n", " 2017-01-06\n", - " -1.674036\n", - " 1\n", - " 1.405428\n", - " -0.051746\n", - " 5.0\n", - " 6\n", + " -0.156485\n", + " -1.199526\n", + " 0.654982\n", + " -0.700319\n", " \n", " \n", "\n", "" ], "text/plain": [ - " A B C D F G\n", - "2017-01-02 -1.118794 1 -0.864295 0.623044 1.0 2\n", - "2017-01-03 -1.073106 1 0.174746 0.957146 2.0 3\n", - "2017-01-04 -1.062694 1 0.347061 1.040679 3.0 4\n", - "2017-01-05 -0.728814 1 -0.009947 0.614714 4.0 5\n", - "2017-01-06 -1.674036 1 1.405428 -0.051746 5.0 6" + " A B C D\n", + "2017-01-01 0.539921 -1.200391 -4.236204 0.564074\n", + "2017-01-02 -0.541448 -0.808080 -1.175375 -1.049522\n", + "2017-01-03 1.921935 0.970826 0.567789 1.528788\n", + "2017-01-04 -1.367683 -0.833853 -1.661884 0.261409\n", + "2017-01-05 0.141583 -0.515125 0.299264 0.834499\n", + "2017-01-06 -0.156485 -1.199526 0.654982 -0.700319" ] }, - "execution_count": 65, + "execution_count": 291, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "# Pandas utiliza np.nan para representar valores que faltan. Por defecto no se incluye en los calculos\n", - "# Eliminar las filas que tienen algun valor que falta\n", - "df.dropna(how='any')" + "df" ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 292, + "metadata": {}, + "outputs": [], + "source": [ + "df[\"F\"] = 0" + ] + }, + { + "cell_type": "code", + "execution_count": 293, "metadata": {}, "outputs": [ { @@ -2702,88 +2846,85 @@ " \n", " \n", " A\n", + " B\n", " C\n", " D\n", " F\n", - " G\n", " \n", " \n", " \n", " \n", " 2017-01-01\n", - " 0.229431\n", - " 1.073311\n", - " 0.427448\n", - " NaN\n", - " 1\n", + " 0.539921\n", + " -1.200391\n", + " -4.236204\n", + " 0.564074\n", + " 0\n", " \n", " \n", " 2017-01-02\n", - " -1.118794\n", - " -0.864295\n", - " 0.623044\n", - " 1.0\n", - " 2\n", + " -0.541448\n", + " -0.808080\n", + " -1.175375\n", + " -1.049522\n", + " 0\n", " \n", " \n", " 2017-01-03\n", - " -1.073106\n", - " 0.174746\n", - " 0.957146\n", - " 2.0\n", - " 3\n", + " 1.921935\n", + " 0.970826\n", + " 0.567789\n", + " 1.528788\n", + " 0\n", " \n", " \n", " 2017-01-04\n", - " -1.062694\n", - " 0.347061\n", - " 1.040679\n", - " 3.0\n", - " 4\n", + " -1.367683\n", + " -0.833853\n", + " -1.661884\n", + " 0.261409\n", + " 0\n", " \n", " \n", " 2017-01-05\n", - " -0.728814\n", - " -0.009947\n", - " 0.614714\n", - " 4.0\n", - " 5\n", + " 0.141583\n", + " -0.515125\n", + " 0.299264\n", + " 0.834499\n", + " 0\n", " \n", " \n", " 2017-01-06\n", - " -1.674036\n", - " 1.405428\n", - " -0.051746\n", - " 5.0\n", - " 6\n", + " -0.156485\n", + " -1.199526\n", + " 0.654982\n", + " -0.700319\n", + " 0\n", " \n", " \n", "\n", "" ], "text/plain": [ - " A C D F G\n", - "2017-01-01 0.229431 1.073311 0.427448 NaN 1\n", - "2017-01-02 -1.118794 -0.864295 0.623044 1.0 2\n", - "2017-01-03 -1.073106 0.174746 0.957146 2.0 3\n", - "2017-01-04 -1.062694 0.347061 1.040679 3.0 4\n", - "2017-01-05 -0.728814 -0.009947 0.614714 4.0 5\n", - "2017-01-06 -1.674036 1.405428 -0.051746 5.0 6" + " A B C D F\n", + "2017-01-01 0.539921 -1.200391 -4.236204 0.564074 0\n", + "2017-01-02 -0.541448 -0.808080 -1.175375 -1.049522 0\n", + "2017-01-03 1.921935 0.970826 0.567789 1.528788 0\n", + "2017-01-04 -1.367683 -0.833853 -1.661884 0.261409 0\n", + "2017-01-05 0.141583 -0.515125 0.299264 0.834499 0\n", + "2017-01-06 -0.156485 -1.199526 0.654982 -0.700319 0" ] }, - "execution_count": 66, + "execution_count": 293, "metadata": {}, "output_type": "execute_result" } ], - "source": [ - "# eliminar una fila o columna por su etiqueta\n", - "df.drop(columns='B')" - ] + "source": [] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 295, "metadata": {}, "outputs": [ { @@ -2818,56 +2959,56 @@ " \n", " \n", " 2017-01-01\n", - " 0.229431\n", - " 1\n", - " 1.073311\n", - " 0.427448\n", - " 3.0\n", + " 0.539921\n", + " -1.200391\n", + " -4.236204\n", + " 0.564074\n", + " 0\n", " 1\n", " \n", " \n", " 2017-01-02\n", - " -1.118794\n", - " 1\n", - " -0.864295\n", - " 0.623044\n", - " 1.0\n", + " -0.541448\n", + " -0.808080\n", + " -1.175375\n", + " -1.049522\n", + " 0\n", " 2\n", " \n", " \n", " 2017-01-03\n", - " -1.073106\n", - " 1\n", - " 0.174746\n", - " 0.957146\n", - " 2.0\n", + " 1.921935\n", + " 0.970826\n", + " 0.567789\n", + " 1.528788\n", + " 0\n", " 3\n", " \n", " \n", " 2017-01-04\n", - " -1.062694\n", - " 1\n", - " 0.347061\n", - " 1.040679\n", - " 3.0\n", + " -1.367683\n", + " -0.833853\n", + " -1.661884\n", + " 0.261409\n", + " 0\n", " 4\n", " \n", " \n", " 2017-01-05\n", - " -0.728814\n", - " 1\n", - " -0.009947\n", - " 0.614714\n", - " 4.0\n", + " 0.141583\n", + " -0.515125\n", + " 0.299264\n", + " 0.834499\n", + " 0\n", " 5\n", " \n", " \n", " 2017-01-06\n", - " -1.674036\n", - " 1\n", - " 1.405428\n", - " -0.051746\n", - " 5.0\n", + " -0.156485\n", + " -1.199526\n", + " 0.654982\n", + " -0.700319\n", + " 0\n", " 6\n", " \n", " \n", @@ -2875,27 +3016,37 @@ "" ], "text/plain": [ - " A B C D F G\n", - "2017-01-01 0.229431 1 1.073311 0.427448 3.0 1\n", - "2017-01-02 -1.118794 1 -0.864295 0.623044 1.0 2\n", - "2017-01-03 -1.073106 1 0.174746 0.957146 2.0 3\n", - "2017-01-04 -1.062694 1 0.347061 1.040679 3.0 4\n", - "2017-01-05 -0.728814 1 -0.009947 0.614714 4.0 5\n", - "2017-01-06 -1.674036 1 1.405428 -0.051746 5.0 6" + " A B C D F G\n", + "2017-01-01 0.539921 -1.200391 -4.236204 0.564074 0 1\n", + "2017-01-02 -0.541448 -0.808080 -1.175375 -1.049522 0 2\n", + "2017-01-03 1.921935 0.970826 0.567789 1.528788 0 3\n", + "2017-01-04 -1.367683 -0.833853 -1.661884 0.261409 0 4\n", + "2017-01-05 0.141583 -0.515125 0.299264 0.834499 0 5\n", + "2017-01-06 -0.156485 -1.199526 0.654982 -0.700319 0 6" ] }, - "execution_count": 67, + "execution_count": 295, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "df.fillna(value=df['F'].mean())" + "df[\"G\"] = [1, 2, 3, 4, 5, 6]\n", + "df" ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 296, + "metadata": {}, + "outputs": [], + "source": [ + "df[\"B\"] = 1" + ] + }, + { + "cell_type": "code", + "execution_count": 297, "metadata": {}, "outputs": [ { @@ -2930,56 +3081,56 @@ " \n", " \n", " 2017-01-01\n", - " 0.229431\n", + " 0.539921\n", " 1\n", - " 1.073311\n", - " 0.427448\n", - " 0.0\n", + " -4.236204\n", + " 0.564074\n", + " 0\n", " 1\n", " \n", " \n", " 2017-01-02\n", - " -1.118794\n", + " -0.541448\n", " 1\n", - " -0.864295\n", - " 0.623044\n", - " 1.0\n", + " -1.175375\n", + " -1.049522\n", + " 0\n", " 2\n", " \n", " \n", " 2017-01-03\n", - " -1.073106\n", + " 1.921935\n", " 1\n", - " 0.174746\n", - " 0.957146\n", - " 2.0\n", + " 0.567789\n", + " 1.528788\n", + " 0\n", " 3\n", " \n", " \n", " 2017-01-04\n", - " -1.062694\n", + " -1.367683\n", " 1\n", - " 0.347061\n", - " 1.040679\n", - " 3.0\n", + " -1.661884\n", + " 0.261409\n", + " 0\n", " 4\n", " \n", " \n", " 2017-01-05\n", - " -0.728814\n", + " 0.141583\n", " 1\n", - " -0.009947\n", - " 0.614714\n", - " 4.0\n", + " 0.299264\n", + " 0.834499\n", + " 0\n", " 5\n", " \n", " \n", " 2017-01-06\n", - " -1.674036\n", + " -0.156485\n", " 1\n", - " 1.405428\n", - " -0.051746\n", - " 5.0\n", + " 0.654982\n", + " -0.700319\n", + " 0\n", " 6\n", " \n", " \n", @@ -2987,107 +3138,37 @@ "" ], "text/plain": [ - " A B C D F G\n", - "2017-01-01 0.229431 1 1.073311 0.427448 0.0 1\n", - "2017-01-02 -1.118794 1 -0.864295 0.623044 1.0 2\n", - "2017-01-03 -1.073106 1 0.174746 0.957146 2.0 3\n", - "2017-01-04 -1.062694 1 0.347061 1.040679 3.0 4\n", - "2017-01-05 -0.728814 1 -0.009947 0.614714 4.0 5\n", - "2017-01-06 -1.674036 1 1.405428 -0.051746 5.0 6" + " A B C D F G\n", + "2017-01-01 0.539921 1 -4.236204 0.564074 0 1\n", + "2017-01-02 -0.541448 1 -1.175375 -1.049522 0 2\n", + "2017-01-03 1.921935 1 0.567789 1.528788 0 3\n", + "2017-01-04 -1.367683 1 -1.661884 0.261409 0 4\n", + "2017-01-05 0.141583 1 0.299264 0.834499 0 5\n", + "2017-01-06 -0.156485 1 0.654982 -0.700319 0 6" ] }, - "execution_count": 68, + "execution_count": 297, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "# rellenar los valores que faltan\n", - "df.fillna(value=0)" + "df" ] }, { "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
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AC
count6.0000006.000000
min-1.674036-0.864295
max0.2294311.405428
\n", - "
" - ], - "text/plain": [ - " A C\n", - "count 6.000000 6.000000\n", - "min -1.674036 -0.864295\n", - "max 0.229431 1.405428" - ] - }, - "execution_count": 69, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "# al igual que numpy, pandas tambien tiene implementadas funciones de estadistica descriptiva\n", - "df.describe().loc[[\"count\", \"min\", \"max\"], [\"A\", \"C\"]]" - ] - }, - { - "cell_type": "code", - "execution_count": null, + "execution_count": 298, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "2017-01-01 0.106250\n", - "2017-01-02 -0.273873\n", - "2017-01-03 0.218855\n", - "2017-01-04 0.012403\n", - "2017-01-05 0.576886\n", - "2017-01-06 0.077236\n", - "Freq: D, dtype: float64" + "2017-01-10 1\n", + "2017-01-11 2\n", + "2017-01-12 3\n", + "2017-01-13 4\n", + "Freq: D, dtype: int64" ] }, "execution_count": 298, @@ -3096,21 +3177,21 @@ } ], "source": [ - "df[\"C\"] * df[\"D\"]" + "pd.Series([1, 2, 3, 4], index=pd.date_range('20170110', periods=4))" ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 299, "metadata": {}, "outputs": [], "source": [ - "df[\"no_num\"] = [\"a\", \"b\", \"c\", \"d\", \"e\", \"f\"]" + "df[\"H\"] = pd.Series([1, 2, 3, 4], index=pd.date_range('20170110', periods=4))" ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 300, "metadata": {}, "outputs": [ { @@ -3138,87 +3219,87 @@ " B\n", " C\n", " D\n", - " index\n", + " F\n", + " G\n", " H\n", - " no_num\n", " \n", " \n", " \n", " \n", " 2017-01-01\n", + " 0.539921\n", " 1\n", - " -1.435808\n", - " 0.031140\n", - " 3.411992\n", + " -4.236204\n", + " 0.564074\n", + " 0\n", " 1\n", - " 1.0\n", - " a\n", + " NaN\n", " \n", " \n", " 2017-01-02\n", + " -0.541448\n", + " 1\n", + " -1.175375\n", + " -1.049522\n", + " 0\n", " 2\n", - " -1.420813\n", - " -0.933690\n", - " 0.293323\n", - " 2\n", - " 2.0\n", - " b\n", + " NaN\n", " \n", " \n", " 2017-01-03\n", + " 1.921935\n", + " 1\n", + " 0.567789\n", + " 1.528788\n", + " 0\n", " 3\n", - " -0.469941\n", - " -0.741574\n", - " -0.295122\n", - " 3\n", - " 3.0\n", - " c\n", + " NaN\n", " \n", " \n", " 2017-01-04\n", + " -1.367683\n", + " 1\n", + " -1.661884\n", + " 0.261409\n", + " 0\n", " 4\n", - " -0.978453\n", - " -0.569035\n", - " -0.021796\n", - " 4\n", - " 4.0\n", - " d\n", + " NaN\n", " \n", " \n", " 2017-01-05\n", + " 0.141583\n", + " 1\n", + " 0.299264\n", + " 0.834499\n", + " 0\n", " 5\n", - " 1.877841\n", - " -0.512109\n", - " -1.126491\n", - " 5\n", - " 5.0\n", - " e\n", + " NaN\n", " \n", " \n", " 2017-01-06\n", - " 6\n", - " 1.280605\n", - " 0.147745\n", - " 0.522766\n", + " -0.156485\n", + " 1\n", + " 0.654982\n", + " -0.700319\n", + " 0\n", " 6\n", " NaN\n", - " f\n", " \n", " \n", "\n", "" ], "text/plain": [ - " A B C D index H no_num\n", - "2017-01-01 1 -1.435808 0.031140 3.411992 1 1.0 a\n", - "2017-01-02 2 -1.420813 -0.933690 0.293323 2 2.0 b\n", - "2017-01-03 3 -0.469941 -0.741574 -0.295122 3 3.0 c\n", - "2017-01-04 4 -0.978453 -0.569035 -0.021796 4 4.0 d\n", - "2017-01-05 5 1.877841 -0.512109 -1.126491 5 5.0 e\n", - "2017-01-06 6 1.280605 0.147745 0.522766 6 NaN f" + " A B C D F G H\n", + "2017-01-01 0.539921 1 -4.236204 0.564074 0 1 NaN\n", + "2017-01-02 -0.541448 1 -1.175375 -1.049522 0 2 NaN\n", + "2017-01-03 1.921935 1 0.567789 1.528788 0 3 NaN\n", + "2017-01-04 -1.367683 1 -1.661884 0.261409 0 4 NaN\n", + "2017-01-05 0.141583 1 0.299264 0.834499 0 5 NaN\n", + "2017-01-06 -0.156485 1 0.654982 -0.700319 0 6 NaN" ] }, - "execution_count": 318, + "execution_count": 300, "metadata": {}, "output_type": "execute_result" } @@ -3229,52 +3310,16 @@ }, { "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "A 3.500000\n", - "B -0.191095\n", - "C -0.429587\n", - "D 0.464112\n", - "dtype: float64" - ] - }, - "execution_count": 320, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "df[[\"A\", \"B\", \"C\", \"D\"]].mean()" - ] - }, - { - "cell_type": "code", - "execution_count": null, + "execution_count": 301, "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "3.5" - ] - }, - "execution_count": 321, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ - "# por columnas (axis = 0)\n", - "df[\"A\"].mean()" + "df[\"F\"] = [5, 6, 7, 8, 9, 10]" ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 302, "metadata": {}, "outputs": [ { @@ -3302,62 +3347,69 @@ " B\n", " C\n", " D\n", - " index\n", + " F\n", + " G\n", " H\n", " \n", " \n", " \n", " \n", " 2017-01-01\n", + " 0.539921\n", " 1\n", - " -1.435808\n", - " 0.031140\n", - " 3.411992\n", + " -4.236204\n", + " 0.564074\n", + " 5\n", " 1\n", - " 1.0\n", + " NaN\n", " \n", " \n", " 2017-01-02\n", + " -0.541448\n", + " 1\n", + " -1.175375\n", + " -1.049522\n", + " 6\n", " 2\n", - " -1.420813\n", - " -0.933690\n", - " 0.293323\n", - " 2\n", - " 2.0\n", + " NaN\n", " \n", " \n", " 2017-01-03\n", + " 1.921935\n", + " 1\n", + " 0.567789\n", + " 1.528788\n", + " 7\n", " 3\n", - " -0.469941\n", - " -0.741574\n", - " -0.295122\n", - " 3\n", - " 3.0\n", + " NaN\n", " \n", " \n", " 2017-01-04\n", + " -1.367683\n", + " 1\n", + " -1.661884\n", + " 0.261409\n", + " 8\n", " 4\n", - " -0.978453\n", - " -0.569035\n", - " -0.021796\n", - " 4\n", - " 4.0\n", + " NaN\n", " \n", " \n", " 2017-01-05\n", + " 0.141583\n", + " 1\n", + " 0.299264\n", + " 0.834499\n", + " 9\n", " 5\n", - " 1.877841\n", - " -0.512109\n", - " -1.126491\n", - " 5\n", - " 5.0\n", + " NaN\n", " \n", " \n", " 2017-01-06\n", - " 6\n", - " 1.280605\n", - " 0.147745\n", - " 0.522766\n", + " -0.156485\n", + " 1\n", + " 0.654982\n", + " -0.700319\n", + " 10\n", " 6\n", " NaN\n", " \n", @@ -3366,29 +3418,42 @@ "" ], "text/plain": [ - " A B C D index H\n", - "2017-01-01 1 -1.435808 0.031140 3.411992 1 1.0\n", - "2017-01-02 2 -1.420813 -0.933690 0.293323 2 2.0\n", - "2017-01-03 3 -0.469941 -0.741574 -0.295122 3 3.0\n", - "2017-01-04 4 -0.978453 -0.569035 -0.021796 4 4.0\n", - "2017-01-05 5 1.877841 -0.512109 -1.126491 5 5.0\n", - "2017-01-06 6 1.280605 0.147745 0.522766 6 NaN" + " A B C D F G H\n", + "2017-01-01 0.539921 1 -4.236204 0.564074 5 1 NaN\n", + "2017-01-02 -0.541448 1 -1.175375 -1.049522 6 2 NaN\n", + "2017-01-03 1.921935 1 0.567789 1.528788 7 3 NaN\n", + "2017-01-04 -1.367683 1 -1.661884 0.261409 8 4 NaN\n", + "2017-01-05 0.141583 1 0.299264 0.834499 9 5 NaN\n", + "2017-01-06 -0.156485 1 0.654982 -0.700319 10 6 NaN" ] }, - "execution_count": 327, + "execution_count": 302, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "df = df.drop(columns=\"no_num\")" + "df" ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 303, "metadata": {}, "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "2017-01-02 1\n", + "2017-01-03 2\n", + "2017-01-04 3\n", + "2017-01-05 4\n", + "2017-01-06 5\n", + "2017-01-07 6\n", + "Freq: D, dtype: int64\n" + ] + }, { "data": { "text/html": [ @@ -3414,341 +3479,241 @@ " B\n", " C\n", " D\n", - " index\n", + " F\n", + " G\n", " H\n", - " no_num\n", " \n", " \n", " \n", " \n", " 2017-01-01\n", + " 0.539921\n", " 1\n", - " -1.435808\n", - " 0.031140\n", - " 3.411992\n", + " -4.236204\n", + " 0.564074\n", + " NaN\n", " 1\n", - " [1, a, 3]\n", - " a\n", + " NaN\n", " \n", " \n", " 2017-01-02\n", + " -0.541448\n", + " 1\n", + " -1.175375\n", + " -1.049522\n", + " 1.0\n", " 2\n", - " -1.420813\n", - " -0.933690\n", - " 0.293323\n", - " 2\n", - " [4, 5, 6]\n", - " b\n", + " NaN\n", " \n", " \n", " 2017-01-03\n", + " 1.921935\n", + " 1\n", + " 0.567789\n", + " 1.528788\n", + " 2.0\n", " 3\n", - " -0.469941\n", - " -0.741574\n", - " -0.295122\n", - " 3\n", - " [7, 8, 9]\n", - " c\n", + " NaN\n", " \n", " \n", " 2017-01-04\n", + " -1.367683\n", + " 1\n", + " -1.661884\n", + " 0.261409\n", + " 3.0\n", " 4\n", - " -0.978453\n", - " -0.569035\n", - " -0.021796\n", - " 4\n", - " [1, 2, 3]\n", - " d\n", + " NaN\n", " \n", " \n", " 2017-01-05\n", + " 0.141583\n", + " 1\n", + " 0.299264\n", + " 0.834499\n", + " 4.0\n", " 5\n", - " 1.877841\n", - " -0.512109\n", - " -1.126491\n", - " 5\n", - " [4, 5, 6]\n", - " e\n", + " NaN\n", " \n", " \n", " 2017-01-06\n", + " -0.156485\n", + " 1\n", + " 0.654982\n", + " -0.700319\n", + " 5.0\n", " 6\n", - " 1.280605\n", - " 0.147745\n", - " 0.522766\n", - " 6\n", - " [7, 8, 9]\n", - " f\n", + " NaN\n", " \n", " \n", "\n", "" ], "text/plain": [ - " A B C D index H no_num\n", - "2017-01-01 1 -1.435808 0.031140 3.411992 1 [1, a, 3] a\n", - "2017-01-02 2 -1.420813 -0.933690 0.293323 2 [4, 5, 6] b\n", - "2017-01-03 3 -0.469941 -0.741574 -0.295122 3 [7, 8, 9] c\n", - "2017-01-04 4 -0.978453 -0.569035 -0.021796 4 [1, 2, 3] d\n", - "2017-01-05 5 1.877841 -0.512109 -1.126491 5 [4, 5, 6] e\n", - "2017-01-06 6 1.280605 0.147745 0.522766 6 [7, 8, 9] f" + " A B C D F G H\n", + "2017-01-01 0.539921 1 -4.236204 0.564074 NaN 1 NaN\n", + "2017-01-02 -0.541448 1 -1.175375 -1.049522 1.0 2 NaN\n", + "2017-01-03 1.921935 1 0.567789 1.528788 2.0 3 NaN\n", + "2017-01-04 -1.367683 1 -1.661884 0.261409 3.0 4 NaN\n", + "2017-01-05 0.141583 1 0.299264 0.834499 4.0 5 NaN\n", + "2017-01-06 -0.156485 1 0.654982 -0.700319 5.0 6 NaN" ] }, - "execution_count": 339, + "execution_count": 303, "metadata": {}, "output_type": "execute_result" } ], "source": [ + "# al añadir una nueva columna, esta se alinea con el indice\n", + "s1 = pd.Series([1,2,3,4,5,6], index=pd.date_range('20170102', periods=6))\n", + "print(s1)\n", + "df['F'] = s1\n", "df" ] }, { "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "2017-01-01 0.746038\n", - "2017-01-02 0.439992\n", - "2017-01-03 1.009798\n", - "2017-01-04 1.387508\n", - "2017-01-05 1.645992\n", - "2017-01-06 1.946608\n", - "Freq: D, dtype: float64" - ] - }, - "execution_count": 72, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "# por filas (axis = 1)\n", - "df.mean(axis=1)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Existen también métodos para el resto de funciones estadísticas como la varianza, mediana, percentiles, etc. La lista completa se puede ver en la documentación: https://pandas.pydata.org/pandas-docs/stable/generated/pandas.DataFrame.html" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "0 9\n", - "1 11\n", - "2 13\n", - "3 15\n", - "dtype: int64" - ] - }, - "execution_count": 73, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "s1 = pd.Series([1, 2, 3, 4])\n", - "s2 = pd.Series([8, 9, 10, 11])\n", - "\n", - "s1 + s2" - ] - }, - { - "cell_type": "code", - "execution_count": null, + "execution_count": 307, "metadata": {}, "outputs": [], "source": [ - "s3 = s1 + s2" + "df1 = df.sort_index(ascending=False)\n", + "\n", + "df1[\"I\"] = s1" ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 309, "metadata": {}, "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/tmp/ipykernel_3579/3379315680.py:1: FutureWarning: Series.fillna with 'method' is deprecated and will raise in a future version. Use obj.ffill() or obj.bfill() instead.\n", - " s3.fillna(method='bfill').fillna(method='ffill')\n" - ] - }, { "data": { + "text/html": [ + "
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" + ], "text/plain": [ - "0 9\n", - "1 11\n", - "2 13\n", - "3 15\n", - "dtype: int64" + " A B C D F G H I\n", + "2017-01-06 -0.156485 1 0.654982 -0.700319 5.0 6 NaN 5.0\n", + "2017-01-05 0.141583 1 0.299264 0.834499 4.0 5 NaN 4.0\n", + "2017-01-04 -1.367683 1 -1.661884 0.261409 3.0 4 NaN 3.0\n", + "2017-01-03 1.921935 1 0.567789 1.528788 2.0 3 NaN 2.0\n", + "2017-01-02 -0.541448 1 -1.175375 -1.049522 1.0 2 NaN 1.0\n", + "2017-01-01 0.539921 1 -4.236204 0.564074 NaN 1 NaN NaN" ] }, - "execution_count": 75, + "execution_count": 309, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "s3.fillna(method='bfill').fillna(method='ffill')" + "df1" ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 321, "metadata": {}, "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "2017-01-01 1\n", - "2017-01-02 2\n", - "2017-01-03 3\n", - "2017-01-04 4\n", - "2017-01-05 5\n", - "Freq: D, dtype: int64\n", - "2017-01-02 1\n", - "2017-01-03 2\n", - "2017-01-04 3\n", - "2017-01-05 4\n", - "2017-01-06 5\n", - "Freq: D, dtype: int64\n" - ] - }, - { - "data": { - "text/plain": [ - "2017-01-01 1.0\n", - "2017-01-02 3.0\n", - "2017-01-03 5.0\n", - "2017-01-04 7.0\n", - "2017-01-05 9.0\n", - "2017-01-06 5.0\n", - "Freq: D, dtype: float64" - ] - }, - "execution_count": 76, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "# cuando hacemos una operacion aritmetica entre dos series, primero se alinean los indices de las filas\n", - "import pandas as pd\n", - "\n", - "s1 = pd.Series([1,2,3,4,5], index=pd.date_range('20170101', periods=5))\n", - "s2 = pd.Series([1,2,3,4,5], index=pd.date_range('20170102', periods=5))\n", - "\n", - "print(s1)\n", - "print(s2)\n", - "s1.add(s2, fill_value=0)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "2017-01-01 0.0\n", - "2017-01-02 3.0\n", - "2017-01-03 5.0\n", - "2017-01-04 7.0\n", - "2017-01-05 9.0\n", - "2017-01-06 0.0\n", - "Freq: D, dtype: float64" - ] - }, - "execution_count": 77, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "(s1 + s2).fillna(0)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "2017-01-01 NaN\n", - "2017-01-02 3.0\n", - "2017-01-03 5.0\n", - "2017-01-04 7.0\n", - "2017-01-05 9.0\n", - "Freq: D, dtype: float64\n" - ] - }, - { - "data": { - "text/plain": [ - "2017-01-01 1.0\n", - "2017-01-02 3.0\n", - "2017-01-03 5.0\n", - "2017-01-04 7.0\n", - "2017-01-05 9.0\n", - "Freq: D, dtype: float64" - ] - }, - "execution_count": 78, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "# cuando hacemos una operacion aritmetica entre dos series, primero se alinean los indices de las filas\n", - "import pandas as pd\n", - "\n", - "s1 = pd.Series([1,2,3,4,5], index=pd.date_range('2017-01-01', periods=5))\n", - "s2 = pd.Series([1,2,3,4], index=pd.date_range('20170102', periods=4))\n", - "\n", - "print(s1 + s2)\n", - "s1.add(s2, fill_value=0)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - " A B C D F G\n", - "2017-01-01 0.229431 1 1.073311 0.427448 NaN 1\n", - "2017-01-02 -1.118794 1 -0.864295 0.623044 1.0 2\n", - "2017-01-03 -1.073106 1 0.174746 0.957146 2.0 3\n", - "2017-01-04 -1.062694 1 0.347061 1.040679 3.0 4\n", - "2017-01-05 -0.728814 1 -0.009947 0.614714 4.0 5\n", - "2017-01-06 -1.674036 1 1.405428 -0.051746 5.0 6\n", - " B C\n", - "2017-01-03 1 0.174746\n", - "2017-01-04 1 0.347061\n", - "2017-01-05 1 -0.009947\n" - ] - }, { "data": { "text/html": [ @@ -3776,60 +3741,74 @@ " D\n", " F\n", " G\n", + " H\n", + " I\n", " \n", " \n", " \n", " \n", - " 2017-01-01\n", - " NaN\n", - " NaN\n", - " NaN\n", - " NaN\n", - " NaN\n", + " 2017-01-06\n", + " -0.156485\n", + " 1\n", + " 0.654982\n", + " -0.700319\n", + " 5.0\n", + " 6\n", " NaN\n", + " 5.0\n", " \n", " \n", - " 2017-01-02\n", - " NaN\n", - " NaN\n", - " NaN\n", - " NaN\n", - " NaN\n", + " 2017-01-05\n", + " 0.141583\n", + " 1\n", + " 0.299264\n", + " 0.834499\n", + " 4.0\n", + " 5\n", " NaN\n", + " 4.0\n", " \n", " \n", - " 2017-01-03\n", - " NaN\n", - " 2.0\n", - " 0.349492\n", - " NaN\n", - " NaN\n", + " 2017-01-04\n", + " -1.367683\n", + " 1\n", + " -1.661884\n", + " 0.261409\n", + " 3.0\n", + " 4\n", " NaN\n", + " 3.0\n", " \n", " \n", - " 2017-01-04\n", - " NaN\n", + " 2017-01-03\n", + " 1.921935\n", + " 1\n", + " 0.567789\n", + " 1.528788\n", " 2.0\n", - " 0.694122\n", - " NaN\n", - " NaN\n", + " 3\n", " NaN\n", + " 2.0\n", " \n", " \n", - " 2017-01-05\n", - " NaN\n", - " 2.0\n", - " -0.019895\n", - " NaN\n", - " NaN\n", + " 2017-01-02\n", + " -0.541448\n", + " 1\n", + " -1.175375\n", + " -1.049522\n", + " 1.0\n", + " 2\n", " NaN\n", + " 1.0\n", " \n", " \n", - " 2017-01-06\n", - " NaN\n", - " NaN\n", - " NaN\n", - " NaN\n", + " 2017-01-01\n", + " 0.539921\n", + " 1\n", + " -4.236204\n", + " 0.564074\n", + " -100.0\n", + " 1\n", " NaN\n", " NaN\n", " \n", @@ -3838,55 +3817,47 @@ "" ], "text/plain": [ - " A B C D F G\n", - "2017-01-01 NaN NaN NaN NaN NaN NaN\n", - "2017-01-02 NaN NaN NaN NaN NaN NaN\n", - "2017-01-03 NaN 2.0 0.349492 NaN NaN NaN\n", - "2017-01-04 NaN 2.0 0.694122 NaN NaN NaN\n", - "2017-01-05 NaN 2.0 -0.019895 NaN NaN NaN\n", - "2017-01-06 NaN NaN NaN NaN NaN NaN" + " A B C D F G H I\n", + "2017-01-06 -0.156485 1 0.654982 -0.700319 5.0 6 NaN 5.0\n", + "2017-01-05 0.141583 1 0.299264 0.834499 4.0 5 NaN 4.0\n", + "2017-01-04 -1.367683 1 -1.661884 0.261409 3.0 4 NaN 3.0\n", + "2017-01-03 1.921935 1 0.567789 1.528788 2.0 3 NaN 2.0\n", + "2017-01-02 -0.541448 1 -1.175375 -1.049522 1.0 2 NaN 1.0\n", + "2017-01-01 0.539921 1 -4.236204 0.564074 -100.0 1 NaN NaN" ] }, - "execution_count": 79, + "execution_count": 321, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "# lo mismo pasa con los DataFrames pero se alinean por filas y columnas\n", - "df1 = df[['B', 'C']][2:5]\n", - "print(df)\n", - "print(df1)\n", - "df + df1\n", - "df.add(df1)" + "filler = pd.Series([-100, -200], index=pd.date_range(\"2017-01-01\", periods=2))\n", + "\n", + "df1.fillna(value={\"F\": filler})" ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 323, "metadata": {}, "outputs": [], "source": [ - "df = pd.DataFrame(\n", - " {\n", - " \"precio\": [1, 2, 3, 4, 5],\n", - " \"descuento\": [np.nan, np.nan, 0.1, 0.05, np.nan]\n", - " }\n", - ")" + "precios = pd.DataFrame({\"precio\": [10, 20, 30], \"descuento\": [np.nan, np.nan, 0.10]})" ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 328, "metadata": {}, "outputs": [], "source": [ - "df[\"descuento_\"] = df[\"descuento\"].fillna(0)" + "precios[\"precio_descuento\"] = precios[\"precio\"] - (precios[\"precio\"] * precios[\"descuento\"].fillna(value=0))" ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 327, "metadata": {}, "outputs": [ { @@ -3912,87 +3883,60 @@ " \n", " precio\n", " descuento\n", - " descuento_\n", + " precio_descuento\n", " \n", " \n", " \n", " \n", " 0\n", - " 1\n", + " 10\n", " NaN\n", - " 0.00\n", + " 10.0\n", " \n", " \n", " 1\n", - " 2\n", + " 20\n", " NaN\n", - " 0.00\n", + " 20.0\n", " \n", " \n", " 2\n", - " 3\n", - " 0.10\n", - " 0.10\n", - " \n", - " \n", - " 3\n", - " 4\n", - " 0.05\n", - " 0.05\n", - " \n", - " \n", - " 4\n", - " 5\n", - " NaN\n", - " 0.00\n", + " 30\n", + " 0.1\n", + " 27.0\n", " \n", " \n", "\n", "" ], "text/plain": [ - " precio descuento descuento_\n", - "0 1 NaN 0.00\n", - "1 2 NaN 0.00\n", - "2 3 0.10 0.10\n", - "3 4 0.05 0.05\n", - "4 5 NaN 0.00" + " precio descuento precio_descuento\n", + "0 10 NaN 10.0\n", + "1 20 NaN 20.0\n", + "2 30 0.1 27.0" ] }, - "execution_count": 82, + "execution_count": 327, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "df" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "df[\"precio_final\"] = df[\"precio\"] - (df[\"precio\"] * df[\"descuento\"])\n", - "df[\"precio_final\"] = df[\"precio_final\"].fillna(df[\"precio\"])" + "precios.fillna(value={\"precio_descuento\": precios[\"precio\"]})" ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 330, "metadata": {}, "outputs": [], "source": [ - "df[\"precio_final\"] = df[\"precio\"].where(\n", - " df[\"descuento\"].isna(), \n", - " df[\"precio\"] - (df[\"precio\"] * df[\"descuento\"])\n", - ")" + "precios[\"precio_descuento\"] = precios[\"precio\"] - (precios[\"precio\"].mul(precios[\"descuento\"], fill_value=0))" ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 331, "metadata": {}, "outputs": [ { @@ -4018,98 +3962,116 @@ " \n", " precio\n", " descuento\n", - " descuento_\n", - " precio_final\n", + " precio_descuento\n", " \n", " \n", " \n", " \n", " 0\n", - " 1\n", + " 10\n", " NaN\n", - " 0.00\n", - " 1.0\n", + " 10.0\n", " \n", " \n", " 1\n", - " 2\n", + " 20\n", " NaN\n", - " 0.00\n", - " 2.0\n", + " 20.0\n", " \n", " \n", " 2\n", - " 3\n", - " 0.10\n", - " 0.10\n", - " 2.7\n", - " \n", - " \n", - " 3\n", - " 4\n", - " 0.05\n", - " 0.05\n", - " 3.8\n", - " \n", - " \n", - " 4\n", - " 5\n", - " NaN\n", - " 0.00\n", - " 5.0\n", + " 30\n", + " 0.1\n", + " 27.0\n", " \n", " \n", "\n", "" ], "text/plain": [ - " precio descuento descuento_ precio_final\n", - "0 1 NaN 0.00 1.0\n", - "1 2 NaN 0.00 2.0\n", - "2 3 0.10 0.10 2.7\n", - "3 4 0.05 0.05 3.8\n", - "4 5 NaN 0.00 5.0" + " precio descuento precio_descuento\n", + "0 10 NaN 10.0\n", + "1 20 NaN 20.0\n", + "2 30 0.1 27.0" ] }, - "execution_count": 85, + "execution_count": 331, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "df" + "precios" ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 333, "metadata": {}, "outputs": [ { "data": { + "text/html": [ + "
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preciodescuentoprecio_descuento
2300.127.0
\n", + "
" + ], "text/plain": [ - "2017-01-01 1\n", - "2017-01-02 2\n", - "2017-01-03 3\n", - "2017-01-04 4\n", - "2017-01-05 5\n", - "Freq: D, dtype: int64" + " precio descuento precio_descuento\n", + "2 30 0.1 27.0" ] }, - "execution_count": 87, + "execution_count": 333, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "# si operamos con una Serie y un DataFrame, los indices de la serie tienen que coincidir o bien con los \n", - "# indices del DataFrame o bien con sus columnas\n", - "s1" + "precios[precios[\"descuento\"] != 0]" ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 340, + "metadata": {}, + "outputs": [], + "source": [ + "precios[\"basura\"] = np.nan" + ] + }, + { + "cell_type": "code", + "execution_count": 344, "metadata": {}, "outputs": [ { @@ -4135,71 +4097,51 @@ " \n", " precio\n", " descuento\n", - " descuento_\n", - " precio_final\n", + " precio_descuento\n", " \n", " \n", " \n", " \n", " 0\n", - " 1\n", + " 10\n", " NaN\n", - " 0.00\n", - " 1.0\n", + " 10.0\n", " \n", " \n", " 1\n", - " 2\n", + " 20\n", " NaN\n", - " 0.00\n", - " 2.0\n", + " 20.0\n", " \n", " \n", " 2\n", - " 3\n", - " 0.10\n", - " 0.10\n", - " 2.7\n", - " \n", - " \n", - " 3\n", - " 4\n", - " 0.05\n", - " 0.05\n", - " 3.8\n", - " \n", - " \n", - " 4\n", - " 5\n", - " NaN\n", - " 0.00\n", - " 5.0\n", + " 30\n", + " 0.1\n", + " 27.0\n", " \n", " \n", "\n", "" ], "text/plain": [ - " precio descuento descuento_ precio_final\n", - "0 1 NaN 0.00 1.0\n", - "1 2 NaN 0.00 2.0\n", - "2 3 0.10 0.10 2.7\n", - "3 4 0.05 0.05 3.8\n", - "4 5 NaN 0.00 5.0" + " precio descuento precio_descuento\n", + "0 10 NaN 10.0\n", + "1 20 NaN 20.0\n", + "2 30 0.1 27.0" ] }, - "execution_count": 88, + "execution_count": 344, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "df" + "precios.dropna(how=\"all\", axis=1)" ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 346, "metadata": {}, "outputs": [ { @@ -4225,79 +4167,16 @@ " \n", " precio\n", " descuento\n", - " descuento_\n", - " precio_final\n", + " precio_descuento\n", + " basura\n", " \n", " \n", " \n", " \n", - " 0\n", - " NaN\n", - " NaN\n", - " NaN\n", - " NaN\n", - " \n", - " \n", - " 1\n", - " NaN\n", - " NaN\n", - " NaN\n", - " NaN\n", - " \n", - " \n", " 2\n", - " NaN\n", - " NaN\n", - " NaN\n", - " NaN\n", - " \n", - " \n", - " 3\n", - " NaN\n", - " NaN\n", - " NaN\n", - " NaN\n", - " \n", - " \n", - " 4\n", - " NaN\n", - " NaN\n", - " NaN\n", - " NaN\n", - " \n", - " \n", - " 2017-01-01 00:00:00\n", - " NaN\n", - " NaN\n", - " NaN\n", - " NaN\n", - " \n", - " \n", - " 2017-01-02 00:00:00\n", - " NaN\n", - " NaN\n", - " NaN\n", - " NaN\n", - " \n", - " \n", - " 2017-01-03 00:00:00\n", - " NaN\n", - " NaN\n", - " NaN\n", - " NaN\n", - " \n", - " \n", - " 2017-01-04 00:00:00\n", - " NaN\n", - " NaN\n", - " NaN\n", - " NaN\n", - " \n", - " \n", - " 2017-01-05 00:00:00\n", - " NaN\n", - " NaN\n", - " NaN\n", + " 30\n", + " 0.1\n", + " 27.0\n", " NaN\n", " \n", " \n", @@ -4305,45 +4184,24 @@ "" ], "text/plain": [ - " precio descuento descuento_ precio_final\n", - "0 NaN NaN NaN NaN\n", - "1 NaN NaN NaN NaN\n", - "2 NaN NaN NaN NaN\n", - "3 NaN NaN NaN NaN\n", - "4 NaN NaN NaN NaN\n", - "2017-01-01 00:00:00 NaN NaN NaN NaN\n", - "2017-01-02 00:00:00 NaN NaN NaN NaN\n", - "2017-01-03 00:00:00 NaN NaN NaN NaN\n", - "2017-01-04 00:00:00 NaN NaN NaN NaN\n", - "2017-01-05 00:00:00 NaN NaN NaN NaN" + " precio descuento precio_descuento basura\n", + "2 30 0.1 27.0 NaN" ] }, - "execution_count": 89, + "execution_count": 346, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "df.add(s1, axis=0)" + "precios.dropna(how=\"any\", subset=[\"descuento\"])" ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 348, "metadata": {}, "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - " precio descuento descuento_ precio_final\n", - "0 1 NaN 0.00 1.0\n", - "1 2 NaN 0.00 2.0\n", - "2 3 0.10 0.10 2.7\n", - "3 4 0.05 0.05 3.8\n", - "4 5 NaN 0.00 5.0\n" - ] - }, { "data": { "text/html": [ @@ -4365,167 +4223,136 @@ " \n", " \n", " \n", - " A\n", - " B\n", - " C\n", - " D\n", - " F\n", - " descuento\n", - " descuento_\n", " precio\n", - " precio_final\n", + " descuento\n", " \n", " \n", " \n", " \n", - " 0\n", - " NaN\n", - " NaN\n", - " NaN\n", - " NaN\n", - " NaN\n", - " NaN\n", - " NaN\n", - " NaN\n", - " NaN\n", - " \n", - " \n", - " 1\n", - " NaN\n", - " NaN\n", - " NaN\n", - " NaN\n", - " NaN\n", - " NaN\n", - " NaN\n", - " NaN\n", - " NaN\n", - " \n", - " \n", " 2\n", - " NaN\n", - " NaN\n", - " NaN\n", - " NaN\n", - " NaN\n", - " NaN\n", - " NaN\n", - " NaN\n", - " NaN\n", - " \n", - " \n", - " 3\n", - " NaN\n", - " NaN\n", - " NaN\n", - " NaN\n", - " NaN\n", - " NaN\n", - " NaN\n", - " NaN\n", - " NaN\n", - " \n", - " \n", - " 4\n", - " NaN\n", - " NaN\n", - " NaN\n", - " NaN\n", - " NaN\n", - " NaN\n", - " NaN\n", - " NaN\n", - " NaN\n", + " 30\n", + " 0.1\n", " \n", " \n", "\n", "" ], "text/plain": [ - " A B C D F descuento descuento_ precio precio_final\n", - "0 NaN NaN NaN NaN NaN NaN NaN NaN NaN\n", - "1 NaN NaN NaN NaN NaN NaN NaN NaN NaN\n", - "2 NaN NaN NaN NaN NaN NaN NaN NaN NaN\n", - "3 NaN NaN NaN NaN NaN NaN NaN NaN NaN\n", - "4 NaN NaN NaN NaN NaN NaN NaN NaN NaN" + " precio descuento\n", + "2 30 0.1" ] }, - "execution_count": 90, + "execution_count": 348, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "s2 = pd.Series([1, 2, 3, 4, 5], list('ABCDF'))\n", - "print(df)\n", - "df.add(s2, axis=1)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Existen también métodos `.mult()`, `.div()` y `.sub()` para multiplicar, dividir y restar `DataFrames` y `Series`. Los operadores aritméticos también funcionan pero son menos flexibles (no se puede especificar el eje)." + "precios[[\"precio\", \"descuento\"]].dropna()" ] }, { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "##### Lectura de ficheros\n", - "\n", - "Al igual que Numpy, Pandas proporciona funciones para importar datos desde diversas fuentes a un `DataFrame`. La funciones principales son `read_csv()` y `read_table()`.\n", - "\n", - "Lista completa: http://pandas.pydata.org/pandas-docs/version/0.20/io.html" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Datos del número de bicicletas en la ciudad de Montreal\n", - "\n", - "Fuente: http://donnees.ville.montreal.qc.ca/dataset/velos-comptage" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "import pandas as pd\n", - "\n", - "df = pd.read_csv(\"../../data/bikes2016.csv\")" - ] - }, - { - "cell_type": "code", - "execution_count": null, + "cell_type": "code", + "execution_count": null, "metadata": {}, "outputs": [ { "data": { + "text/html": [ + "
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ABCDFG
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366 rows × 21 columns

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" ], "text/plain": [ - " Datetime Date Timestamp Berri1 Boyer Brébeuf \\\n", - "0 2016-01-01 01/01/2016 00:00 32 0 27 \n", - "1 2016-01-02 02/01/2016 00:00 68 0 6 \n", - "2 2016-01-03 03/01/2016 00:00 78 3 4 \n", - "3 2016-01-04 04/01/2016 00:00 118 6 60 \n", - "4 2016-01-05 05/01/2016 00:00 183 2 25 \n", - ".. ... ... ... ... ... ... \n", - "361 2016-12-27 27/12/2016 00:00 137 42 1 \n", - "362 2016-12-28 28/12/2016 00:00 181 55 1 \n", - "363 2016-12-29 29/12/2016 00:00 120 33 5 \n", - "364 2016-12-30 30/12/2016 00:00 120 59 13 \n", - "365 2016-12-31 31/12/2016 00:00 52 26 2 \n", - "\n", - " CSC (Côte Sainte-Catherine) Maisonneuve_2 Maisonneuve_3 Notre-Dame \\\n", - "0 0.0 51.0 16 1 \n", - "1 0.0 93.0 25 2 \n", - "2 0.0 118.0 38 0 \n", - "3 2.0 165.0 80 0 \n", - "4 2.0 239.0 86 2 \n", - ".. ... ... ... ... \n", - "361 30.0 NaN 57 26 \n", - "362 70.0 NaN 91 44 \n", - "363 35.0 NaN 46 18 \n", - "364 2.0 NaN 53 29 \n", - "365 135.0 NaN 23 11 \n", - "\n", - " ... PierDup Pont_Jacques_Cartier Rachel / Hôtel de Ville \\\n", - "0 ... 1 13 NaN \n", - "1 ... 6 9 NaN \n", - "2 ... 1 6 NaN \n", - "3 ... 0 3 NaN \n", - "4 ... 5 3 NaN \n", - ".. ... ... ... ... \n", - "361 ... 8 0 NaN \n", - "362 ... 4 0 NaN \n", - "363 ... 8 0 NaN \n", - "364 ... 3 10 NaN \n", - "365 ... 6 0 NaN \n", - "\n", - " Rachel / Papineau René-Lévesque Saint-Antoine Saint-Urbain \\\n", - "0 93 12 6 38 \n", - "1 141 16 11 67 \n", - "2 116 25 10 21 \n", - "3 202 49 9 4 \n", - "4 241 77 12 11 \n", - ".. ... ... ... ... \n", - "361 205 59 12 5 \n", - "362 288 85 24 16 \n", - "363 203 53 13 6 \n", - "364 72 55 15 0 \n", - "365 122 16 4 17 \n", - "\n", - " Totem_Laurier University Viger \n", - "0 68 14 11 \n", - "1 106 30 14 \n", - "2 59 25 5 \n", - "3 99 111 29 \n", - "4 106 158 44 \n", - ".. ... ... ... \n", - "361 136 40 11 \n", - "362 171 76 19 \n", - "363 208 38 14 \n", - "364 218 68 3 \n", - "365 102 16 3 \n", - "\n", - "[366 rows x 21 columns]" + " A B C D F G\n", + "2017-01-01 0.229431 1 1.073311 0.427448 0.0 1\n", + "2017-01-02 -1.118794 1 -0.864295 0.623044 1.0 2\n", + "2017-01-03 -1.073106 1 0.174746 0.957146 2.0 3\n", + "2017-01-04 -1.062694 1 0.347061 1.040679 3.0 4\n", + "2017-01-05 -0.728814 1 -0.009947 0.614714 4.0 5\n", + "2017-01-06 -1.674036 1 1.405428 -0.051746 5.0 6" ] }, - "execution_count": 96, + "execution_count": 68, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "rest = [ col for col in df.columns if col != \"Datetime\" ]\n", - "cols = [\"Datetime\"] + rest\n", - "df[cols]" + "# rellenar los valores que faltan\n", + "df.fillna(value=0)" ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 366, "metadata": {}, "outputs": [ { @@ -4993,416 +4712,105 @@ " \n", " \n", " \n", - " Datetime\n", - " Date\n", - " Timestamp\n", - " Berri1\n", - " Boyer\n", - " Brébeuf\n", - " CSC (Côte Sainte-Catherine)\n", - " Maisonneuve_2\n", - " Maisonneuve_3\n", - " Notre-Dame\n", - " ...\n", - " PierDup\n", - " Pont_Jacques_Cartier\n", - " Rachel / Hôtel de Ville\n", - " Rachel / Papineau\n", - " René-Lévesque\n", - " Saint-Antoine\n", - " Saint-Urbain\n", - " Totem_Laurier\n", - " University\n", - " Viger\n", + " A\n", + " B\n", + " C\n", + " D\n", + " F\n", + " G\n", " \n", " \n", " \n", " \n", - " 0\n", - " 2016-01-01\n", - " 01/01/2016\n", - " 00:00\n", - " 32\n", - " 0\n", - " 27\n", - " 0.0\n", - " 51.0\n", - " 16\n", + " 2017-01-01\n", + " 0.539921\n", " 1\n", - " ...\n", - " 1\n", - " 13\n", + " -4.236204\n", + " 0.564074\n", " NaN\n", - " 93\n", - " 12\n", - " 6\n", - " 38\n", - " 68\n", - " 14\n", - " 11\n", + " 1\n", " \n", " \n", - " 1\n", - " 2016-01-02\n", - " 02/01/2016\n", - " 00:00\n", - " 68\n", - " 0\n", - " 6\n", - " 0.0\n", - " 93.0\n", - " 25\n", + " 2017-01-02\n", + " -0.541448\n", + " 1\n", + " -1.175375\n", + " -1.049522\n", + " 1.0\n", " 2\n", - " ...\n", - " 6\n", - " 9\n", - " NaN\n", - " 141\n", - " 16\n", - " 11\n", - " 67\n", - " 106\n", - " 30\n", - " 14\n", " \n", " \n", - " 2\n", - " 2016-01-03\n", - " 03/01/2016\n", - " 00:00\n", - " 78\n", - " 3\n", - " 4\n", - " 0.0\n", - " 118.0\n", - " 38\n", - " 0\n", - " ...\n", + " 2017-01-03\n", + " 1.921935\n", " 1\n", - " 6\n", - " NaN\n", - " 116\n", - " 25\n", - " 10\n", - " 21\n", - " 59\n", - " 25\n", - " 5\n", - " \n", - " \n", - " 3\n", - " 2016-01-04\n", - 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366 rows × 21 columns

\n", "" ], "text/plain": [ - " Datetime Date Timestamp Berri1 Boyer Brébeuf \\\n", - "0 2016-01-01 01/01/2016 00:00 32 0 27 \n", - "1 2016-01-02 02/01/2016 00:00 68 0 6 \n", - "2 2016-01-03 03/01/2016 00:00 78 3 4 \n", - "3 2016-01-04 04/01/2016 00:00 118 6 60 \n", - "4 2016-01-05 05/01/2016 00:00 183 2 25 \n", - ".. ... ... ... ... ... ... \n", - "361 2016-12-27 27/12/2016 00:00 137 42 1 \n", - "362 2016-12-28 28/12/2016 00:00 181 55 1 \n", - "363 2016-12-29 29/12/2016 00:00 120 33 5 \n", - "364 2016-12-30 30/12/2016 00:00 120 59 13 \n", - "365 2016-12-31 31/12/2016 00:00 52 26 2 \n", - "\n", - " CSC (Côte Sainte-Catherine) Maisonneuve_2 Maisonneuve_3 Notre-Dame \\\n", - "0 0.0 51.0 16 1 \n", - "1 0.0 93.0 25 2 \n", - "2 0.0 118.0 38 0 \n", - "3 2.0 165.0 80 0 \n", - "4 2.0 239.0 86 2 \n", - ".. ... ... ... ... \n", - "361 30.0 NaN 57 26 \n", - "362 70.0 NaN 91 44 \n", - "363 35.0 NaN 46 18 \n", - "364 2.0 NaN 53 29 \n", - "365 135.0 NaN 23 11 \n", - "\n", - " ... PierDup Pont_Jacques_Cartier Rachel / Hôtel de Ville \\\n", - "0 ... 1 13 NaN \n", - "1 ... 6 9 NaN \n", - "2 ... 1 6 NaN \n", - "3 ... 0 3 NaN \n", - "4 ... 5 3 NaN \n", - ".. ... ... ... ... \n", - "361 ... 8 0 NaN \n", - "362 ... 4 0 NaN \n", - "363 ... 8 0 NaN \n", - "364 ... 3 10 NaN \n", - "365 ... 6 0 NaN \n", - "\n", - " Rachel / Papineau René-Lévesque Saint-Antoine Saint-Urbain \\\n", - "0 93 12 6 38 \n", - "1 141 16 11 67 \n", - "2 116 25 10 21 \n", - "3 202 49 9 4 \n", - "4 241 77 12 11 \n", - ".. ... ... ... ... \n", - "361 205 59 12 5 \n", - "362 288 85 24 16 \n", - "363 203 53 13 6 \n", - "364 72 55 15 0 \n", - "365 122 16 4 17 \n", - "\n", - " Totem_Laurier University Viger \n", - "0 68 14 11 \n", - "1 106 30 14 \n", - "2 59 25 5 \n", - "3 99 111 29 \n", - "4 106 158 44 \n", - ".. ... ... ... \n", - "361 136 40 11 \n", - "362 171 76 19 \n", - "363 208 38 14 \n", - "364 218 68 3 \n", - "365 102 16 3 \n", - "\n", - "[366 rows x 21 columns]" + " A B C D F G\n", + "2017-01-01 0.539921 1 -4.236204 0.564074 NaN 1\n", + "2017-01-02 -0.541448 1 -1.175375 -1.049522 1.0 2\n", + "2017-01-03 1.921935 1 0.567789 1.528788 2.0 3\n", + "2017-01-04 -1.367683 1 -1.661884 0.261409 3.0 4\n", + "2017-01-05 0.141583 1 0.299264 0.834499 4.0 5\n", + "2017-01-06 -0.156485 1 0.654982 -0.700319 5.0 6" ] }, - "execution_count": 97, + "execution_count": 366, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "df.reindex(columns=cols)" + "df.drop(columns=[\"H\"])" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "Date object\n", - "Timestamp object\n", - "Berri1 int64\n", - "Boyer int64\n", - "Brébeuf int64\n", - "CSC (Côte Sainte-Catherine) float64\n", - "Maisonneuve_2 float64\n", - "Maisonneuve_3 int64\n", - "Notre-Dame int64\n", - "Parc int64\n", - "PierDup int64\n", - "Pont_Jacques_Cartier int64\n", - "Rachel / Hôtel de Ville float64\n", - "Rachel / Papineau int64\n", - "René-Lévesque int64\n", - "Saint-Antoine int64\n", - "Saint-Urbain int64\n", - "Totem_Laurier int64\n", - "University int64\n", - "Viger int64\n", - "Datetime datetime64[ns]\n", - "dtype: object" - ] - }, - "execution_count": 98, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ - "df.dtypes" + "# drop()\n", + "# dropna()\n", + "# fillna()\n", + "# isna()\n", + "# Crear nuevas columnas\n", + "# reset_index()\n", + "# set_index()" ] }, { @@ -5431,258 +4839,204 @@ " \n", " \n", " \n", - " Timestamp\n", - " Berri1\n", - " Boyer\n", - " Brébeuf\n", - " CSC (Côte Sainte-Catherine)\n", - " Maisonneuve_2\n", - " Maisonneuve_3\n", - " Notre-Dame\n", - " Parc\n", - " PierDup\n", - " Pont_Jacques_Cartier\n", - " Rachel / Hôtel de Ville\n", - " Rachel / Papineau\n", - " René-Lévesque\n", - " Saint-Antoine\n", - " Saint-Urbain\n", - " Totem_Laurier\n", - " University\n", - " Viger\n", - " \n", - " \n", - " Date\n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " A\n", + " C\n", " \n", " \n", " \n", " \n", - " 2016-01-01\n", - " 00:00\n", - " 32\n", - " 0\n", - " 27\n", - " 0.0\n", - " 51.0\n", - " 16\n", - " 1\n", - " 5\n", - " 1\n", - " 13\n", - " NaN\n", - " 93\n", - " 12\n", - " 6\n", - " 38\n", - " 68\n", - " 14\n", - " 11\n", + " count\n", + " 6.000000\n", + " 6.000000\n", " \n", " \n", - " 2016-01-02\n", - " 00:00\n", - " 68\n", - " 0\n", - " 6\n", - " 0.0\n", - " 93.0\n", - " 25\n", - " 2\n", - " 16\n", - " 6\n", - " 9\n", - " NaN\n", - " 141\n", - " 16\n", - " 11\n", - " 67\n", - " 106\n", - " 30\n", - " 14\n", + " min\n", + " -1.674036\n", + " -0.864295\n", " \n", " \n", - " 2016-01-03\n", - " 00:00\n", - " 78\n", - " 3\n", - " 4\n", - " 0.0\n", - " 118.0\n", - " 38\n", - " 0\n", - " 6\n", - " 1\n", - " 6\n", - " NaN\n", - " 116\n", - " 25\n", - " 10\n", - " 21\n", - " 59\n", - " 25\n", - " 5\n", + " max\n", + " 0.229431\n", + " 1.405428\n", " \n", " \n", "\n", "" ], "text/plain": [ - " Timestamp Berri1 Boyer Brébeuf CSC (Côte Sainte-Catherine) \\\n", - "Date \n", - "2016-01-01 00:00 32 0 27 0.0 \n", - "2016-01-02 00:00 68 0 6 0.0 \n", - "2016-01-03 00:00 78 3 4 0.0 \n", - "\n", - " Maisonneuve_2 Maisonneuve_3 Notre-Dame Parc PierDup \\\n", - "Date \n", - "2016-01-01 51.0 16 1 5 1 \n", - "2016-01-02 93.0 25 2 16 6 \n", - "2016-01-03 118.0 38 0 6 1 \n", - "\n", - " Pont_Jacques_Cartier Rachel / Hôtel de Ville Rachel / Papineau \\\n", - "Date \n", - "2016-01-01 13 NaN 93 \n", - "2016-01-02 9 NaN 141 \n", - "2016-01-03 6 NaN 116 \n", - "\n", - " René-Lévesque Saint-Antoine Saint-Urbain Totem_Laurier \\\n", - "Date \n", - "2016-01-01 12 6 38 68 \n", - "2016-01-02 16 11 67 106 \n", - "2016-01-03 25 10 21 59 \n", - "\n", - " University Viger \n", - "Date \n", - "2016-01-01 14 11 \n", - "2016-01-02 30 14 \n", - "2016-01-03 25 5 " + " A C\n", + "count 6.000000 6.000000\n", + "min -1.674036 -0.864295\n", + "max 0.229431 1.405428" ] }, - "execution_count": 99, + "execution_count": 69, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "import pandas as pd\n", - "\n", - "bikes = pd.read_csv('../../data/bikes2016.csv', index_col='Date', parse_dates=['Date'], dayfirst=True)\n", - "bikes[:3]" + "# al igual que numpy, pandas tambien tiene implementadas funciones de estadistica descriptiva\n", + "df.describe().loc[[\"count\", \"min\", \"max\"], [\"A\", \"C\"]]" ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 399, "metadata": {}, "outputs": [], "source": [ - "df = df[cols]" + "b = df.reset_index(names=[\"timestamp\"])" ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 401, "metadata": {}, "outputs": [], "source": [ - "df1 = df.drop(columns=[\"Date\", \"Timestamp\"])" + "b[\"ts\"] = dt.datetime.today()" ] }, { "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "Datetime 0\n", - "Berri1 0.0\n", - "Boyer 0.0\n", - "Brébeuf 0.0\n", - "CSC (Côte Sainte-Catherine) 22.0\n", - "Maisonneuve_2 45.0\n", - "Maisonneuve_3 0.0\n", - "Notre-Dame 0.0\n", - "Parc 0.0\n", - "PierDup 0.0\n", - "Pont_Jacques_Cartier 0.0\n", - "Rachel / Hôtel de Ville 169.0\n", - "Rachel / Papineau 0.0\n", - "René-Lévesque 0.0\n", - "Saint-Antoine 0.0\n", - "Saint-Urbain 0.0\n", - "Totem_Laurier 0.0\n", - "University 0.0\n", - "Viger 0.0\n", - "Name: count, dtype: object" - ] - }, - "execution_count": 102, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "df1.shape[0] - df1.describe().loc[\"count\"]" - ] - }, - { - "cell_type": "code", - "execution_count": null, + "execution_count": 402, "metadata": {}, "outputs": [ { "data": { + "text/html": [ + "
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"execution_count": 103, + "execution_count": 402, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "df1.isna().mean()" + "b" ] }, { @@ -5693,47 +5047,31 @@ { "data": { "text/plain": [ - "3655.271028037383" + "2017-01-01 0.106250\n", + "2017-01-02 -0.273873\n", + "2017-01-03 0.218855\n", + "2017-01-04 0.012403\n", + "2017-01-05 0.576886\n", + "2017-01-06 0.077236\n", + "Freq: D, dtype: float64" ] }, - "execution_count": 104, + "execution_count": 298, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "df1[\"Maisonneuve_2\"].mean()" + "df[\"C\"] * df[\"D\"]" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "0 51.000000\n", - "1 93.000000\n", - "2 118.000000\n", - "3 165.000000\n", - "4 239.000000\n", - " ... \n", - "361 3655.271028\n", - "362 3655.271028\n", - "363 3655.271028\n", - "364 3655.271028\n", - "365 3655.271028\n", - "Name: Maisonneuve_2, Length: 366, dtype: float64" - ] - }, - "execution_count": 105, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ - "df1[\"Maisonneuve_2\"].fillna(value=df1[\"Maisonneuve_2\"].mean())" + "df[\"no_num\"] = [\"a\", \"b\", \"c\", \"d\", \"e\", \"f\"]" ] }, { @@ -5762,371 +5100,254 @@ " \n", " \n", " \n", - " Datetime\n", - " Berri1\n", - " Boyer\n", - " Brébeuf\n", - " CSC (Côte Sainte-Catherine)\n", - " Maisonneuve_2\n", - " Maisonneuve_3\n", - " Notre-Dame\n", - " Parc\n", - " PierDup\n", - " Pont_Jacques_Cartier\n", - " Rachel / Hôtel de Ville\n", - " Rachel / Papineau\n", - " René-Lévesque\n", - " Saint-Antoine\n", - " Saint-Urbain\n", - " Totem_Laurier\n", - " University\n", - " Viger\n", + " A\n", + " B\n", + " C\n", + " D\n", + " index\n", + " H\n", + " no_num\n", " \n", " \n", " \n", " \n", - " 0\n", - " 2016-01-01\n", - " 32\n", - " 0\n", - " 27\n", - " 0.0\n", - " 51.0\n", - " 16\n", + " 2017-01-01\n", " 1\n", - " 5\n", + " -1.435808\n", + " 0.031140\n", + " 3.411992\n", " 1\n", - 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ABCDindexH
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2017-01-022252.0239.086-1.420813-0.9336900.293323211052.0
2017-01-033NaN24177121110615844-0.469941-0.741574-0.29512233.0
............................................................2017-01-044-0.978453-0.569035-0.02179644.0
3612016-12-2713742130.0NaN57263380NaN20559122017-01-05513640111.877841-0.512109-1.12649155.0
3622016-12-2818155170.0NaN91446840NaN2888524161717619
3632016-12-2912033535.0NaN46184180NaN20353132017-01-0662083814
3642016-12-3012059132.0NaN532953310NaN7255150218683
3652016-12-3152262135.0NaN2311121.2806050.1477450.52276660NaN12216417102163
\n", - "

366 rows × 19 columns

\n", "
" ], "text/plain": [ - " Datetime Berri1 Boyer Brébeuf CSC (Côte Sainte-Catherine) \\\n", - "0 2016-01-01 32 0 27 0.0 \n", - "1 2016-01-02 68 0 6 0.0 \n", - "2 2016-01-03 78 3 4 0.0 \n", - "3 2016-01-04 118 6 60 2.0 \n", - "4 2016-01-05 183 2 25 2.0 \n", - ".. ... ... ... ... ... \n", - "361 2016-12-27 137 42 1 30.0 \n", - "362 2016-12-28 181 55 1 70.0 \n", - "363 2016-12-29 120 33 5 35.0 \n", - "364 2016-12-30 120 59 13 2.0 \n", - "365 2016-12-31 52 26 2 135.0 \n", - "\n", - " Maisonneuve_2 Maisonneuve_3 Notre-Dame Parc PierDup \\\n", - "0 51.0 16 1 5 1 \n", - "1 93.0 25 2 16 6 \n", - "2 118.0 38 0 6 1 \n", - "3 165.0 80 0 46 0 \n", - "4 239.0 86 2 110 5 \n", - ".. ... ... ... ... ... \n", - "361 NaN 57 26 33 8 \n", - "362 NaN 91 44 68 4 \n", - "363 NaN 46 18 41 8 \n", - "364 NaN 53 29 53 3 \n", - "365 NaN 23 11 12 6 \n", - "\n", - " Pont_Jacques_Cartier Rachel / Hôtel de Ville Rachel / Papineau \\\n", - "0 13 NaN 93 \n", - "1 9 NaN 141 \n", - "2 6 NaN 116 \n", - "3 3 NaN 202 \n", - "4 3 NaN 241 \n", - ".. ... ... ... \n", - "361 0 NaN 205 \n", - "362 0 NaN 288 \n", - "363 0 NaN 203 \n", - "364 10 NaN 72 \n", - "365 0 NaN 122 \n", - "\n", - " René-Lévesque Saint-Antoine Saint-Urbain Totem_Laurier University \\\n", - "0 12 6 38 68 14 \n", - "1 16 11 67 106 30 \n", - "2 25 10 21 59 25 \n", - "3 49 9 4 99 111 \n", - "4 77 12 11 106 158 \n", - ".. ... ... ... ... ... \n", - "361 59 12 5 136 40 \n", - "362 85 24 16 171 76 \n", - "363 53 13 6 208 38 \n", - "364 55 15 0 218 68 \n", - "365 16 4 17 102 16 \n", - "\n", - " Viger \n", - "0 11 \n", - "1 14 \n", - "2 5 \n", - "3 29 \n", - "4 44 \n", - ".. ... \n", - "361 11 \n", - "362 19 \n", - "363 14 \n", - "364 3 \n", - "365 3 \n", - "\n", - "[366 rows x 19 columns]" - ] - }, - "execution_count": 106, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "df1.dropna(subset=[\"Datetime\"], how=\"any\")" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "Timedelta('-50 days +00:00:00')" + " A B C D index H\n", + "2017-01-01 1 -1.435808 0.031140 3.411992 1 1.0\n", + "2017-01-02 2 -1.420813 -0.933690 0.293323 2 2.0\n", + "2017-01-03 3 -0.469941 -0.741574 -0.295122 3 3.0\n", + "2017-01-04 4 -0.978453 -0.569035 -0.021796 4 4.0\n", + "2017-01-05 5 1.877841 -0.512109 -1.126491 5 5.0\n", + "2017-01-06 6 1.280605 0.147745 0.522766 6 NaN" ] }, - "execution_count": 107, + "execution_count": 327, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "df.iloc[0][\"Datetime\"] - df.iloc[50][\"Datetime\"]" + "df = df.drop(columns=\"no_num\")" ] }, { @@ -6155,365 +5376,158 @@ " \n", " \n", " \n", - " Berri1\n", - " Boyer\n", - " Brébeuf\n", - " CSC (Côte Sainte-Catherine)\n", - " Maisonneuve_2\n", - " Maisonneuve_3\n", - " Notre-Dame\n", - " Parc\n", - " PierDup\n", - " Pont_Jacques_Cartier\n", - " Rachel / Hôtel de Ville\n", - " Rachel / Papineau\n", - " René-Lévesque\n", - " Saint-Antoine\n", - " Saint-Urbain\n", - " Totem_Laurier\n", - " University\n", - " Viger\n", - " \n", - " \n", - " Date\n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " A\n", + " B\n", + " C\n", + " D\n", + " index\n", + " H\n", + " no_num\n", " \n", " \n", " \n", " \n", - " 2016-01-01\n", - " 32\n", - " 0\n", - " 27\n", - " 0.0\n", - " 51.0\n", - " 16\n", + " 2017-01-01\n", " 1\n", - " 5\n", + " -1.435808\n", + " 0.031140\n", + " 3.411992\n", " 1\n", - " 13\n", - " NaN\n", - " 93\n", - " 12\n", - " 6\n", - " 38\n", - " 68\n", - " 14\n", - " 11\n", + " [1, a, 3]\n", + " a\n", " \n", " \n", - " 2016-01-02\n", - " 68\n", - " 0\n", - " 6\n", - " 0.0\n", - " 93.0\n", - " 25\n", + " 2017-01-02\n", " 2\n", - " 16\n", - " 6\n", - " 9\n", - " NaN\n", - " 141\n", - " 16\n", - " 11\n", - " 67\n", - " 106\n", - " 30\n", - " 14\n", + " -1.420813\n", + " -0.933690\n", + " 0.293323\n", + " 2\n", + " [4, 5, 6]\n", + " b\n", " \n", " \n", - " 2016-01-03\n", - " 78\n", + " 2017-01-03\n", " 3\n", - " 4\n", - " 0.0\n", - " 118.0\n", - " 38\n", - " 0\n", - " 6\n", - " 1\n", - " 6\n", - " NaN\n", - " 116\n", - " 25\n", - " 10\n", - " 21\n", - " 59\n", - " 25\n", - " 5\n", + " -0.469941\n", + " -0.741574\n", + " -0.295122\n", + " 3\n", + " [7, 8, 9]\n", + " c\n", " \n", " \n", - " 2016-01-04\n", - " 118\n", - " 6\n", - " 60\n", - " 2.0\n", - " 165.0\n", - " 80\n", - " 0\n", - " 46\n", - " 0\n", - " 3\n", - " NaN\n", - " 202\n", - " 49\n", - " 9\n", + " 2017-01-04\n", " 4\n", - " 99\n", - " 111\n", - " 29\n", + " -0.978453\n", + " -0.569035\n", + " -0.021796\n", + " 4\n", + " [1, 2, 3]\n", + " d\n", " \n", " \n", - " 2016-01-05\n", - " 183\n", - " 2\n", - " 25\n", - " 2.0\n", - " 239.0\n", - " 86\n", - " 2\n", - " 110\n", + " 2017-01-05\n", " 5\n", - " 3\n", - " NaN\n", - " 241\n", - " 77\n", - " 12\n", - " 11\n", - " 106\n", - " 158\n", - " 44\n", - " \n", - " \n", - " ...\n", - " ...\n", - " ...\n", - " ...\n", - " ...\n", - " ...\n", - " ...\n", - " ...\n", - " ...\n", - " ...\n", - " ...\n", - " ...\n", - " ...\n", - " ...\n", - " ...\n", - " ...\n", - " ...\n", - " ...\n", - " ...\n", - " \n", - " \n", - " 2016-12-27\n", - " 137\n", - " 42\n", - " 1\n", - " 30.0\n", - " NaN\n", - " 57\n", - " 26\n", - " 33\n", - " 8\n", - " 0\n", - " NaN\n", - " 205\n", - " 59\n", - " 12\n", + " 1.877841\n", + " -0.512109\n", + " -1.126491\n", " 5\n", - " 136\n", - " 40\n", - " 11\n", - " \n", - " \n", - " 2016-12-28\n", - " 181\n", - " 55\n", - " 1\n", - " 70.0\n", - " NaN\n", - " 91\n", - " 44\n", - " 68\n", - " 4\n", - " 0\n", - " NaN\n", - " 288\n", - " 85\n", - " 24\n", - " 16\n", - " 171\n", - " 76\n", - " 19\n", + " [4, 5, 6]\n", + " e\n", " \n", " \n", - " 2016-12-29\n", - " 120\n", - " 33\n", - " 5\n", - " 35.0\n", - " NaN\n", - " 46\n", - " 18\n", - " 41\n", - " 8\n", - " 0\n", - " NaN\n", - " 203\n", - " 53\n", - " 13\n", + " 2017-01-06\n", " 6\n", - " 208\n", - " 38\n", - " 14\n", - " \n", - " \n", - " 2016-12-30\n", - " 120\n", - " 59\n", - " 13\n", - " 2.0\n", - " NaN\n", - " 53\n", - " 29\n", - " 53\n", - " 3\n", - " 10\n", - " NaN\n", - " 72\n", - " 55\n", - " 15\n", - " 0\n", - " 218\n", - " 68\n", - " 3\n", - " \n", - " \n", - " 2016-12-31\n", - " 52\n", - " 26\n", - " 2\n", - " 135.0\n", - " NaN\n", - " 23\n", - " 11\n", - " 12\n", + " 1.280605\n", + " 0.147745\n", + " 0.522766\n", " 6\n", - " 0\n", - " NaN\n", - " 122\n", - " 16\n", - " 4\n", - " 17\n", - " 102\n", - " 16\n", - " 3\n", + " [7, 8, 9]\n", + " f\n", " \n", " \n", "\n", - "

366 rows × 18 columns

\n", "" ], "text/plain": [ - " Berri1 Boyer Brébeuf CSC (Côte Sainte-Catherine) \\\n", - "Date \n", - "2016-01-01 32 0 27 0.0 \n", - "2016-01-02 68 0 6 0.0 \n", - "2016-01-03 78 3 4 0.0 \n", - "2016-01-04 118 6 60 2.0 \n", - "2016-01-05 183 2 25 2.0 \n", - "... ... ... ... ... \n", - "2016-12-27 137 42 1 30.0 \n", - "2016-12-28 181 55 1 70.0 \n", - "2016-12-29 120 33 5 35.0 \n", - "2016-12-30 120 59 13 2.0 \n", - "2016-12-31 52 26 2 135.0 \n", - "\n", - " Maisonneuve_2 Maisonneuve_3 Notre-Dame Parc PierDup \\\n", - "Date \n", - "2016-01-01 51.0 16 1 5 1 \n", - "2016-01-02 93.0 25 2 16 6 \n", - "2016-01-03 118.0 38 0 6 1 \n", - "2016-01-04 165.0 80 0 46 0 \n", - "2016-01-05 239.0 86 2 110 5 \n", - "... ... ... ... ... ... \n", - "2016-12-27 NaN 57 26 33 8 \n", - "2016-12-28 NaN 91 44 68 4 \n", - "2016-12-29 NaN 46 18 41 8 \n", - "2016-12-30 NaN 53 29 53 3 \n", - "2016-12-31 NaN 23 11 12 6 \n", - "\n", - " Pont_Jacques_Cartier Rachel / Hôtel de Ville Rachel / Papineau \\\n", - "Date \n", - "2016-01-01 13 NaN 93 \n", - "2016-01-02 9 NaN 141 \n", - "2016-01-03 6 NaN 116 \n", - "2016-01-04 3 NaN 202 \n", - "2016-01-05 3 NaN 241 \n", - "... ... ... ... \n", - "2016-12-27 0 NaN 205 \n", - "2016-12-28 0 NaN 288 \n", - "2016-12-29 0 NaN 203 \n", - "2016-12-30 10 NaN 72 \n", - "2016-12-31 0 NaN 122 \n", - "\n", - " René-Lévesque Saint-Antoine Saint-Urbain Totem_Laurier \\\n", - "Date \n", - "2016-01-01 12 6 38 68 \n", - "2016-01-02 16 11 67 106 \n", - "2016-01-03 25 10 21 59 \n", - "2016-01-04 49 9 4 99 \n", - "2016-01-05 77 12 11 106 \n", - "... ... ... ... ... \n", - "2016-12-27 59 12 5 136 \n", - "2016-12-28 85 24 16 171 \n", - "2016-12-29 53 13 6 208 \n", - "2016-12-30 55 15 0 218 \n", - "2016-12-31 16 4 17 102 \n", - "\n", - " University Viger \n", - "Date \n", - "2016-01-01 14 11 \n", - "2016-01-02 30 14 \n", - "2016-01-03 25 5 \n", - "2016-01-04 111 29 \n", - "2016-01-05 158 44 \n", - "... ... ... \n", - "2016-12-27 40 11 \n", - "2016-12-28 76 19 \n", - "2016-12-29 38 14 \n", - "2016-12-30 68 3 \n", - "2016-12-31 16 3 \n", - "\n", - "[366 rows x 18 columns]" + " A B C D index H no_num\n", + "2017-01-01 1 -1.435808 0.031140 3.411992 1 [1, a, 3] a\n", + "2017-01-02 2 -1.420813 -0.933690 0.293323 2 [4, 5, 6] b\n", + "2017-01-03 3 -0.469941 -0.741574 -0.295122 3 [7, 8, 9] c\n", + "2017-01-04 4 -0.978453 -0.569035 -0.021796 4 [1, 2, 3] d\n", + "2017-01-05 5 1.877841 -0.512109 -1.126491 5 [4, 5, 6] e\n", + "2017-01-06 6 1.280605 0.147745 0.522766 6 [7, 8, 9] f" ] }, - "execution_count": 108, + "execution_count": 339, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "bikes.drop(columns=['Timestamp'])" + "df" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "2017-01-01 0.746038\n", + "2017-01-02 0.439992\n", + "2017-01-03 1.009798\n", + "2017-01-04 1.387508\n", + "2017-01-05 1.645992\n", + "2017-01-06 1.946608\n", + "Freq: D, dtype: float64" + ] + }, + "execution_count": 72, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# por filas (axis = 1)\n", + "df.mean(axis=1)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Existen también métodos para el resto de funciones estadísticas como la varianza, mediana, percentiles, etc. La lista completa se puede ver en la documentación: https://pandas.pydata.org/pandas-docs/stable/generated/pandas.DataFrame.html" + ] + }, + { + "cell_type": "code", + "execution_count": 398, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "0 9\n", + "1 11\n", + "2 13\n", + "3 15\n", + "dtype: int64" + ] + }, + "execution_count": 398, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "s1 = pd.Series([1, 2, 3, 4])\n", + "s2 = pd.Series([8, 9, 10, 11])\n", + "\n", + "s1 + s2" ] }, { @@ -6522,7 +5536,7 @@ "metadata": {}, "outputs": [], "source": [ - "s = df.set_index(\"Datetime\")[\"Boyer\"]" + "s3 = s1 + s2" ] }, { @@ -6530,40 +5544,31 @@ "execution_count": null, "metadata": {}, "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/tmp/ipykernel_3579/3379315680.py:1: FutureWarning: Series.fillna with 'method' is deprecated and will raise in a future version. Use obj.ffill() or obj.bfill() instead.\n", + " s3.fillna(method='bfill').fillna(method='ffill')\n" + ] + }, { "data": { "text/plain": [ - "Datetime\n", - "2016-05-12 5184\n", - "2016-05-24 5120\n", - "2016-05-26 5194\n", - "2016-05-31 5307\n", - "2016-06-01 5658\n", - "2016-06-03 6345\n", - "2016-06-04 5758\n", - "2016-06-14 5294\n", - "2016-06-15 5616\n", - "2016-06-16 5563\n", - "2016-06-17 5290\n", - "2016-06-21 5206\n", - "2016-06-23 5126\n", - "2016-06-30 5329\n", - "2016-07-05 5473\n", - "2016-07-11 5018\n", - "2016-07-12 5296\n", - "2016-07-20 5079\n", - "2016-09-07 5189\n", - "Name: Boyer, dtype: int64" + "0 9\n", + "1 11\n", + "2 13\n", + "3 15\n", + "dtype: int64" ] }, - "execution_count": 110, + "execution_count": 75, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "mask = s > 5000\n", - "s[mask]" + "s3.fillna(method='bfill').fillna(method='ffill')" ] }, { @@ -6571,248 +5576,126 @@ "execution_count": null, "metadata": {}, "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "2017-01-01 1\n", + "2017-01-02 2\n", + "2017-01-03 3\n", + "2017-01-04 4\n", + "2017-01-05 5\n", + "Freq: D, dtype: int64\n", + "2017-01-02 1\n", + "2017-01-03 2\n", + "2017-01-04 3\n", + "2017-01-05 4\n", + "2017-01-06 5\n", + "Freq: D, dtype: int64\n" + ] + }, { "data": { - "text/html": [ - "
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DatetimeBoyerBrébeufCSC (Côte Sainte-Catherine)
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1172016-04-2712392874NaN
1182016-04-2823083164NaN
1192016-04-2924843264NaN
1202016-04-3034903524NaN
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1222016-05-0214962150NaN
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1242016-05-0426603724NaN
1252016-05-0537254822NaN
1262016-05-0641785379NaN
1272016-05-0743824629NaN
1282016-05-089971036NaN
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" - ], "text/plain": [ - " Datetime Boyer Brébeuf CSC (Côte Sainte-Catherine)\n", - "116 2016-04-26 0 2948 NaN\n", - "117 2016-04-27 1239 2874 NaN\n", - "118 2016-04-28 2308 3164 NaN\n", - "119 2016-04-29 2484 3264 NaN\n", - "120 2016-04-30 3490 3524 NaN\n", - "121 2016-05-01 1082 1101 NaN\n", - "122 2016-05-02 1496 2150 NaN\n", - "123 2016-05-03 3529 4482 NaN\n", - "124 2016-05-04 2660 3724 NaN\n", - "125 2016-05-05 3725 4822 NaN\n", - "126 2016-05-06 4178 5379 NaN\n", - "127 2016-05-07 4382 4629 NaN\n", - "128 2016-05-08 997 1036 NaN\n", - "129 2016-05-09 2558 3519 NaN\n", - "130 2016-05-10 4101 5220 NaN\n", - "131 2016-05-11 4514 5841 NaN\n", - "132 2016-05-12 5184 6483 NaN\n", - "133 2016-05-13 2485 3197 NaN\n", - "134 2016-05-14 3238 3340 NaN\n", - "135 2016-05-15 1263 1314 NaN\n", - "136 2016-05-16 1616 2364 NaN\n", - "137 2016-05-17 2889 3957 NaN" + "2017-01-01 1.0\n", + "2017-01-02 3.0\n", + "2017-01-03 5.0\n", + "2017-01-04 7.0\n", + "2017-01-05 9.0\n", + "2017-01-06 5.0\n", + "Freq: D, dtype: float64" ] }, - "execution_count": 111, + "execution_count": 76, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "mask = df[\"CSC (Côte Sainte-Catherine)\"].isna()\n", - "df.loc[mask, [\"Datetime\", \"Boyer\", \"Brébeuf\",\"CSC (Côte Sainte-Catherine)\"]]" + "# cuando hacemos una operacion aritmetica entre dos series, primero se alinean los indices de las filas\n", + "import pandas as pd\n", + "\n", + "s1 = pd.Series([1,2,3,4,5], index=pd.date_range('20170101', periods=5))\n", + "s2 = pd.Series([1,2,3,4,5], index=pd.date_range('20170102', periods=5))\n", + "\n", + "print(s1)\n", + "print(s2)\n", + "s1.add(s2, fill_value=0)" ] }, { - "cell_type": "markdown", + "cell_type": "code", + "execution_count": null, "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "2017-01-01 0.0\n", + "2017-01-02 3.0\n", + "2017-01-03 5.0\n", + "2017-01-04 7.0\n", + "2017-01-05 9.0\n", + "2017-01-06 0.0\n", + "Freq: D, dtype: float64" + ] + }, + "execution_count": 77, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ - "#### Trabajando con texto y fechas\n", - "\n", - "Los objetos de tipo Series y los de tipo Index contienen métodos para procesar de forma vectorial datos de tipo `str`. La mayoría tiene la misma funcionalidad que en el caso de las cadenas de caracteres de Python pero realizan la operación de forma vectorizada para todos los elementos de la serie.\n", - "\n", - "Referencia: http://pandas.pydata.org/pandas-docs/stable/text.html#text-string-methods \n", - "Lista completa: http://pandas.pydata.org/pandas-docs/stable/text.html#method-summary\n", + "(s1 + s2).fillna(0)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "2017-01-01 NaN\n", + "2017-01-02 3.0\n", + "2017-01-03 5.0\n", + "2017-01-04 7.0\n", + "2017-01-05 9.0\n", + "Freq: D, dtype: float64\n" + ] + }, + { + "data": { + "text/plain": [ + "2017-01-01 1.0\n", + "2017-01-02 3.0\n", + "2017-01-03 5.0\n", + "2017-01-04 7.0\n", + "2017-01-05 9.0\n", + "Freq: D, dtype: float64" + ] + }, + "execution_count": 78, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# cuando hacemos una operacion aritmetica entre dos series, primero se alinean los indices de las filas\n", + "import pandas as pd\n", "\n", - "Pandas también proporciona mucha funcionalidad para trabajar con fechas, crear rangos, modificar la frecuencia, etc.\n", + "s1 = pd.Series([1,2,3,4,5], index=pd.date_range('2017-01-01', periods=5))\n", + "s2 = pd.Series([1,2,3,4], index=pd.date_range('20170102', periods=4))\n", "\n", - "Referencia: http://pandas.pydata.org/pandas-docs/stable/timeseries.html#time-date-components \n", - "Lista de componentes de una fecha: http://pandas.pydata.org/pandas-docs/stable/timeseries.html#time-date-components" + "print(s1 + s2)\n", + "s1.add(s2, fill_value=0)" ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 403, "metadata": {}, "outputs": [ { @@ -6836,267 +5719,169 @@ " \n", " \n", " \n", - " Date/Time\n", - " Temp (C)\n", - " Dew Point Temp (C)\n", - " Rel Hum (%)\n", - " Wind Spd (km/h)\n", - " Visibility (km)\n", - " Stn Press (kPa)\n", - " Weather\n", + " A\n", + " B\n", + " C\n", + " D\n", + " F\n", + " G\n", + " H\n", " \n", " \n", " \n", " \n", - " 0\n", - " 2012-01-01 00:00:00\n", - " -1.8\n", - " -3.9\n", - " 86\n", - " 4\n", - " 8.0\n", - " 101.24\n", - " Fog\n", + " 2017-01-01\n", + " 0.539921\n", + " 1\n", + " -4.236204\n", + " 0.564074\n", + " NaN\n", + " 1\n", + " NaN\n", " \n", " \n", - " 1\n", - " 2012-01-01 01:00:00\n", - " -1.8\n", - " -3.7\n", - " 87\n", - " 4\n", - " 8.0\n", - " 101.24\n", - " Fog\n", + " 2017-01-02\n", + " -0.541448\n", + " 1\n", + " -1.175375\n", + " -1.049522\n", + " 1.0\n", + " 2\n", + " NaN\n", " \n", " \n", - " 2\n", - " 2012-01-01 02:00:00\n", - " -1.8\n", - " -3.4\n", - " 89\n", - " 7\n", - " 4.0\n", - " 101.26\n", - " Freezing Drizzle,Fog\n", + " 2017-01-03\n", + " 1.921935\n", + " 1\n", + " 0.567789\n", + " 1.528788\n", + " 2.0\n", + " 3\n", + " NaN\n", " \n", " \n", - " 3\n", - " 2012-01-01 03:00:00\n", - " -1.5\n", - " -3.2\n", - " 88\n", - " 6\n", + " 2017-01-04\n", + " -1.367683\n", + " 1\n", + " -1.661884\n", + " 0.261409\n", + " 3.0\n", + " 4\n", + " NaN\n", + " \n", + " \n", + " 2017-01-05\n", + " 0.141583\n", + " 1\n", + " 0.299264\n", + " 0.834499\n", " 4.0\n", - " 101.27\n", - " Freezing Drizzle,Fog\n", + " 5\n", + " NaN\n", " \n", " \n", - " 4\n", - " 2012-01-01 04:00:00\n", - " -1.5\n", - " -3.3\n", - " 88\n", - " 7\n", - " 4.8\n", - " 101.23\n", - " Fog\n", + " 2017-01-06\n", + " -0.156485\n", + " 1\n", + " 0.654982\n", + " -0.700319\n", + " 5.0\n", + " 6\n", + " NaN\n", " \n", " \n", "\n", "" ], "text/plain": [ - " Date/Time Temp (C) Dew Point Temp (C) Rel Hum (%) \\\n", - "0 2012-01-01 00:00:00 -1.8 -3.9 86 \n", - "1 2012-01-01 01:00:00 -1.8 -3.7 87 \n", - "2 2012-01-01 02:00:00 -1.8 -3.4 89 \n", - "3 2012-01-01 03:00:00 -1.5 -3.2 88 \n", - "4 2012-01-01 04:00:00 -1.5 -3.3 88 \n", - "\n", - " Wind Spd (km/h) Visibility (km) Stn Press (kPa) Weather \n", - "0 4 8.0 101.24 Fog \n", - "1 4 8.0 101.24 Fog \n", - "2 7 4.0 101.26 Freezing Drizzle,Fog \n", - "3 6 4.0 101.27 Freezing Drizzle,Fog \n", - "4 7 4.8 101.23 Fog " - ] - }, - "execution_count": 36, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "weather = pd.read_csv('../../data/weather_2012.csv', parse_dates=[0])\n", - "weather.head()" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "weather[\"Date/Time\"] = pd.to_datetime(weather[\"Date/Time\"], format=\"%Y-%m-%d %H:%M:%S\")" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "w = weather[\"Weather\"].str.split(\",\", expand=True).rename(columns={0: \"Weather1\", 1: \"Weather2\", 2: \"Weather3\"})" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "weather = pd.concat([weather, w], axis=1)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "values = pd.concat([weather[\"Weather1\"], weather[\"Weather2\"], weather[\"Weather3\"]])" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "309 Blowing Snow\n", - "67 Clear\n", - "17 Cloudy\n", - "548 Drizzle\n", - "0 Fog\n", - "2 Freezing Drizzle\n", - "510 Freezing Fog\n", - "153 Freezing Rain\n", - "516 Haze\n", - "3582 Heavy Rain Showers\n", - "1492 Ice Pellets\n", - "36 Mainly Clear\n", - "8264 Moderate Rain\n", - "4758 Moderate Rain Showers\n", - "279 Moderate Snow\n", - "16 Mostly Cloudy\n", - "18 Rain\n", - "22 Rain Showers\n", - "55 Snow\n", - "297 Snow Grains\n", - "7887 Snow Pellets\n", - "41 Snow Showers\n", - "3500 Thunderstorms\n", - "dtype: object" - ] - }, - "execution_count": 144, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "values.dropna().drop_duplicates().sort_values()" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "26352" - ] - }, - "execution_count": 146, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "values.shape[0]" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "Blowing Snow 21\n", - "Clear 1326\n", - "Cloudy 1728\n", - "Drizzle 139\n", - "Fog 422\n", - "Freezing Drizzle 27\n", - "Freezing Fog 4\n", - "Freezing Rain 22\n", - "Haze 29\n", - "Heavy Rain Showers 1\n", - "Ice Pellets 13\n", - "Mainly Clear 2106\n", - "Moderate Rain 1\n", - "Moderate Rain Showers 1\n", - "Moderate Snow 6\n", - "Mostly Cloudy 2069\n", - "Rain 454\n", - "Rain Showers 210\n", - "Snow 508\n", - "Snow Grains 2\n", - "Snow Pellets 1\n", - "Snow Showers 66\n", - "Thunderstorms 27\n", - "dtype: int64" + " A B C D F G H\n", + "2017-01-01 0.539921 1 -4.236204 0.564074 NaN 1 NaN\n", + "2017-01-02 -0.541448 1 -1.175375 -1.049522 1.0 2 NaN\n", + "2017-01-03 1.921935 1 0.567789 1.528788 2.0 3 NaN\n", + "2017-01-04 -1.367683 1 -1.661884 0.261409 3.0 4 NaN\n", + "2017-01-05 0.141583 1 0.299264 0.834499 4.0 5 NaN\n", + "2017-01-06 -0.156485 1 0.654982 -0.700319 5.0 6 NaN" ] }, - "execution_count": 151, + "execution_count": 403, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "values.value_counts().sort_index()" + "df" ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 406, "metadata": {}, "outputs": [ { "data": { + "text/html": [ + "
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8784 rows × 3 columns

\n", "" ], "text/plain": [ - " 0 1 2\n", - "0 Fog None None\n", - "1 Fog None None\n", - "2 Freezing Drizzle Fog None\n", - "3 Freezing Drizzle Fog None\n", - "4 Fog None None\n", - "... ... ... ...\n", - "8779 Snow None None\n", - "8780 Snow None None\n", - "8781 Snow None None\n", - "8782 Snow None None\n", - "8783 Snow None None\n", - "\n", - "[8784 rows x 3 columns]" + " A B C D F G H\n", + "2017-01-01 NaN NaN NaN NaN NaN NaN NaN\n", + "2017-01-02 NaN NaN NaN NaN NaN NaN NaN\n", + "2017-01-03 NaN 2.0 1.135578 NaN NaN NaN NaN\n", + "2017-01-04 NaN 2.0 -3.323768 NaN NaN NaN NaN\n", + "2017-01-05 NaN 2.0 0.598527 NaN NaN NaN NaN\n", + "2017-01-06 NaN NaN NaN NaN NaN NaN NaN" ] }, - "execution_count": 42, + "execution_count": 409, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "weather['Weather'].str.split(\",\", expand = True)" + "# lo mismo pasa con los DataFrames pero se alinean por filas y columnas\n", + "df1 = df[['B', 'C']][2:5]\n", + "df + df1" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "df = pd.DataFrame(\n", + " {\n", + " \"precio\": [1, 2, 3, 4, 5],\n", + " \"descuento\": [np.nan, np.nan, 0.1, 0.05, np.nan]\n", + " }\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "df[\"descuento_\"] = df[\"descuento\"].fillna(0)" ] }, { @@ -7249,96 +6049,72 @@ " \n", " \n", " \n", - " Weather\n", - " Weather1\n", - " Weather2\n", - " Weather3\n", + " precio\n", + " descuento\n", + " descuento_\n", " \n", " \n", " \n", " \n", - " count\n", - " 8784\n", - " 8784\n", - " 372\n", - " 27\n", + " 0\n", + " 1\n", + " NaN\n", + " 0.00\n", " \n", " \n", - " unique\n", - " 50\n", - " 18\n", - " 11\n", + " 1\n", " 2\n", + " NaN\n", + " 0.00\n", " \n", " \n", - " top\n", - " Mainly Clear\n", - " Mainly Clear\n", - " Fog\n", - " Fog\n", + " 2\n", + " 3\n", + " 0.10\n", + " 0.10\n", " \n", " \n", - " freq\n", - " 2106\n", - " 2106\n", - " 249\n", - " 23\n", + " 3\n", + " 4\n", + " 0.05\n", + " 0.05\n", + " \n", + " \n", + " 4\n", + " 5\n", + " NaN\n", + " 0.00\n", " \n", " \n", "\n", "" ], "text/plain": [ - " Weather Weather1 Weather2 Weather3\n", - "count 8784 8784 372 27\n", - "unique 50 18 11 2\n", - "top Mainly Clear Mainly Clear Fog Fog\n", - "freq 2106 2106 249 23" + " precio descuento descuento_\n", + "0 1 NaN 0.00\n", + "1 2 NaN 0.00\n", + "2 3 0.10 0.10\n", + "3 4 0.05 0.05\n", + "4 5 NaN 0.00" ] }, - "execution_count": 152, + "execution_count": 82, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "weather.describe(include=\"O\")" + "df" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "array(['Fog', 'Freezing Drizzle,Fog', 'Mostly Cloudy', 'Cloudy', 'Rain',\n", - " 'Rain Showers', 'Mainly Clear', 'Snow Showers', 'Snow', 'Clear',\n", - " 'Freezing Rain,Fog', 'Freezing Rain', 'Freezing Drizzle',\n", - " 'Rain,Snow', 'Moderate Snow', 'Freezing Drizzle,Snow',\n", - " 'Freezing Rain,Snow Grains', 'Snow,Blowing Snow', 'Freezing Fog',\n", - " 'Haze', 'Rain,Fog', 'Drizzle,Fog', 'Drizzle',\n", - " 'Freezing Drizzle,Haze', 'Freezing Rain,Haze', 'Snow,Haze',\n", - " 'Snow,Fog', 'Snow,Ice Pellets', 'Rain,Haze', 'Thunderstorms,Rain',\n", - " 'Thunderstorms,Rain Showers', 'Thunderstorms,Heavy Rain Showers',\n", - " 'Thunderstorms,Rain Showers,Fog', 'Thunderstorms',\n", - " 'Thunderstorms,Rain,Fog',\n", - " 'Thunderstorms,Moderate Rain Showers,Fog', 'Rain Showers,Fog',\n", - " 'Rain Showers,Snow Showers', 'Snow Pellets', 'Rain,Snow,Fog',\n", - " 'Moderate Rain,Fog', 'Freezing Rain,Ice Pellets,Fog',\n", - " 'Drizzle,Ice Pellets,Fog', 'Drizzle,Snow', 'Rain,Ice Pellets',\n", - " 'Drizzle,Snow,Fog', 'Rain,Snow Grains', 'Rain,Snow,Ice Pellets',\n", - " 'Snow Showers,Fog', 'Moderate Snow,Blowing Snow'], dtype=object)" - ] - }, - "execution_count": 44, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ - "weather['Weather'].unique()" + "df[\"precio_final\"] = df[\"precio\"] - (df[\"precio\"] * df[\"descuento\"])\n", + "df[\"precio_final\"] = df[\"precio_final\"].fillna(df[\"precio\"])" ] }, { @@ -7347,27 +6123,10 @@ "metadata": {}, "outputs": [], "source": [ - "nieve = weather['Weather'].str.contains('Snow')" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "583" - ] - }, - "execution_count": 160, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "nieve.sum()" + "df[\"precio_final\"] = df[\"precio\"].where(\n", + " df[\"descuento\"].isna(), \n", + " df[\"precio\"] - (df[\"precio\"] * df[\"descuento\"])\n", + ")" ] }, { @@ -7377,72 +6136,118 @@ "outputs": [ { "data": { + "text/html": [ + "
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" + ], "text/plain": [ - "Snow 390\n", - "Snow Showers 60\n", - "Snow,Fog 37\n", - "Snow,Blowing Snow 19\n", - "Rain,Snow 18\n", - "Drizzle,Snow,Fog 15\n", - "Freezing Drizzle,Snow 11\n", - "Snow,Ice Pellets 6\n", - "Snow,Haze 5\n", - "Moderate Snow 4\n", - "Rain,Snow,Ice Pellets 4\n", - "Snow Showers,Fog 4\n", - "Rain Showers,Snow Showers 2\n", - "Drizzle,Snow 2\n", - "Moderate Snow,Blowing Snow 2\n", - "Freezing Rain,Snow Grains 1\n", - "Snow Pellets 1\n", - "Rain,Snow,Fog 1\n", - "Rain,Snow Grains 1\n", - "Name: Weather, dtype: int64" + " precio descuento descuento_ precio_final\n", + "0 1 NaN 0.00 1.0\n", + "1 2 NaN 0.00 2.0\n", + "2 3 0.10 0.10 2.7\n", + "3 4 0.05 0.05 3.8\n", + "4 5 NaN 0.00 5.0" ] }, - "execution_count": 163, + "execution_count": 85, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "weather.loc[nieve, 'Weather'].value_counts()" + "df" ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 415, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "Date/Time 0\n", - "Temp (C) 0\n", - "Dew Point Temp (C) 0\n", - "Rel Hum (%) 0\n", - "Wind Spd (km/h) 0\n", - "Visibility (km) 0\n", - "Stn Press (kPa) 0\n", - "Weather 0\n", - "Weather1 0\n", - "Weather2 8412\n", - "Weather3 8757\n", + "0 1\n", + "1 2\n", + "2 3\n", + "3 4\n", "dtype: int64" ] }, - "execution_count": 172, + "execution_count": 415, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "weather.isna().sum()" + "# si operamos con una Serie y un DataFrame, los indices de la serie tienen que coincidir o bien con los \n", + "# indices del DataFrame o bien con sus columnas\n", + "s1" ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 411, "metadata": {}, "outputs": [ { @@ -7466,113 +6271,102 @@ " \n", " \n", " \n", - " Date/Time\n", - " Temp (C)\n", - " Dew Point Temp (C)\n", - " Rel Hum (%)\n", - " Wind Spd (km/h)\n", - " Visibility (km)\n", - " Stn Press (kPa)\n", - " Weather\n", + " A\n", + " B\n", + " C\n", + " D\n", + " F\n", + " G\n", + " H\n", " \n", " \n", " \n", " \n", - " 0\n", - " 2012-01-01 00:00:00\n", - " -1.8\n", - " -3.9\n", - " 86\n", - " 4\n", - " 8.0\n", - " 101.24\n", - " Fog\n", + " 2017-01-01\n", + " 0.539921\n", + " 1\n", + " -4.236204\n", + " 0.564074\n", + " NaN\n", + " 1\n", + " NaN\n", " \n", " \n", - " 1\n", - " 2012-01-01 01:00:00\n", - " -1.8\n", - " -3.7\n", - " 87\n", - " 4\n", - " 8.0\n", - " 101.24\n", - " Fog\n", + " 2017-01-02\n", + " -0.541448\n", + " 1\n", + " -1.175375\n", + " -1.049522\n", + " 1.0\n", + " 2\n", + " NaN\n", " \n", " \n", - " 2\n", - " 2012-01-01 02:00:00\n", - " -1.8\n", - " -3.4\n", - " 89\n", - " 7\n", - " 4.0\n", - " 101.26\n", - " Freezing Drizzle,Fog\n", + " 2017-01-03\n", + " 1.921935\n", + " 1\n", + " 0.567789\n", + " 1.528788\n", + " 2.0\n", + " 3\n", + " NaN\n", " \n", " \n", - " 3\n", - " 2012-01-01 03:00:00\n", - " -1.5\n", - " -3.2\n", - " 88\n", - " 6\n", + " 2017-01-04\n", + " -1.367683\n", + " 1\n", + " -1.661884\n", + " 0.261409\n", + " 3.0\n", + " 4\n", + " NaN\n", + " \n", + " \n", + " 2017-01-05\n", + " 0.141583\n", + " 1\n", + " 0.299264\n", + " 0.834499\n", " 4.0\n", - " 101.27\n", - " Freezing Drizzle,Fog\n", + " 5\n", + " NaN\n", " \n", " \n", - " 4\n", - " 2012-01-01 04:00:00\n", - " -1.5\n", - " -3.3\n", - " 88\n", - " 7\n", - " 4.8\n", - " 101.23\n", - " Fog\n", + " 2017-01-06\n", + " -0.156485\n", + " 1\n", + " 0.654982\n", + " -0.700319\n", + " 5.0\n", + " 6\n", + " NaN\n", " \n", " \n", "\n", "" ], "text/plain": [ - " Date/Time Temp (C) Dew Point Temp (C) Rel Hum (%) \\\n", - "0 2012-01-01 00:00:00 -1.8 -3.9 86 \n", - "1 2012-01-01 01:00:00 -1.8 -3.7 87 \n", - "2 2012-01-01 02:00:00 -1.8 -3.4 89 \n", - "3 2012-01-01 03:00:00 -1.5 -3.2 88 \n", - "4 2012-01-01 04:00:00 -1.5 -3.3 88 \n", - "\n", - " Wind Spd (km/h) Visibility (km) Stn Press (kPa) Weather \n", - "0 4 8.0 101.24 Fog \n", - "1 4 8.0 101.24 Fog \n", - "2 7 4.0 101.26 Freezing Drizzle,Fog \n", - "3 6 4.0 101.27 Freezing Drizzle,Fog \n", - "4 7 4.8 101.23 Fog " + " A B C D F G H\n", + "2017-01-01 0.539921 1 -4.236204 0.564074 NaN 1 NaN\n", + "2017-01-02 -0.541448 1 -1.175375 -1.049522 1.0 2 NaN\n", + "2017-01-03 1.921935 1 0.567789 1.528788 2.0 3 NaN\n", + "2017-01-04 -1.367683 1 -1.661884 0.261409 3.0 4 NaN\n", + "2017-01-05 0.141583 1 0.299264 0.834499 4.0 5 NaN\n", + "2017-01-06 -0.156485 1 0.654982 -0.700319 5.0 6 NaN" ] }, - "execution_count": 49, + "execution_count": 411, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "weather.head()" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "weather.set_index('Date/Time')" + "df" ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 422, "metadata": {}, "outputs": [ { @@ -7596,185 +6390,102 @@ " \n", " \n", " \n", - " Date/Time\n", - " Temp (C)\n", - " Dew Point Temp (C)\n", - " Rel Hum (%)\n", - " Wind Spd (km/h)\n", - " Visibility (km)\n", - " Stn Press (kPa)\n", - " Weather\n", + " A\n", + " B\n", + " C\n", + " D\n", + " F\n", + " G\n", + " H\n", " \n", " \n", " \n", " \n", - " 0\n", - " 2012-01-01 00:00:00\n", - " -1.8\n", - " -3.9\n", - " 86\n", - " 4\n", - " 8.0\n", - " 101.24\n", - " Fog\n", - " \n", - " \n", - " 1\n", - " 2012-01-01 01:00:00\n", - " -1.8\n", - " -3.7\n", - " 87\n", - " 4\n", - " 8.0\n", - " 101.24\n", - " Fog\n", - " \n", - " \n", - " 2\n", - " 2012-01-01 02:00:00\n", - " -1.8\n", - " -3.4\n", - " 89\n", - " 7\n", - " 4.0\n", - " 101.26\n", - " Freezing Drizzle,Fog\n", + " 2017-01-01\n", + " 1.539921\n", + " 2.0\n", + " -3.236204\n", + " 1.564074\n", + " NaN\n", + " 2.0\n", + " NaN\n", " \n", " \n", - " 3\n", - " 2012-01-01 03:00:00\n", - " -1.5\n", - " -3.2\n", - " 88\n", - " 6\n", + " 2017-01-02\n", + " 1.458552\n", + " 3.0\n", + " 0.824625\n", + " 0.950478\n", + " 3.0\n", " 4.0\n", - " 101.27\n", - " Freezing Drizzle,Fog\n", - " \n", - " \n", - " 4\n", - " 2012-01-01 04:00:00\n", - " -1.5\n", - " -3.3\n", - " 88\n", - " 7\n", - " 4.8\n", - " 101.23\n", - " Fog\n", - " \n", - " \n", - " ...\n", - " ...\n", - " ...\n", - " ...\n", - " ...\n", - " ...\n", - " ...\n", - " ...\n", - " ...\n", - " \n", - " \n", - " 8779\n", - " 2012-12-31 19:00:00\n", - " 0.1\n", - " -2.7\n", - " 81\n", - " 30\n", - " 9.7\n", - " 100.13\n", - " Snow\n", + " NaN\n", " \n", " \n", - " 8780\n", - " 2012-12-31 20:00:00\n", - " 0.2\n", - " -2.4\n", - " 83\n", - " 24\n", - " 9.7\n", - " 100.03\n", - " Snow\n", + " 2017-01-03\n", + " NaN\n", + " NaN\n", + " NaN\n", + " NaN\n", + " NaN\n", + " NaN\n", + " NaN\n", " \n", " \n", - " 8781\n", - " 2012-12-31 21:00:00\n", - " -0.5\n", - " -1.5\n", - " 93\n", - " 28\n", - " 4.8\n", - " 99.95\n", - " Snow\n", + " 2017-01-04\n", + " NaN\n", + " NaN\n", + " NaN\n", + " NaN\n", + " NaN\n", + " NaN\n", + " NaN\n", " \n", " \n", - " 8782\n", - " 2012-12-31 22:00:00\n", - " -0.2\n", - " -1.8\n", - " 89\n", - " 28\n", - " 9.7\n", - " 99.91\n", - " Snow\n", + " 2017-01-05\n", + " NaN\n", + " NaN\n", + " NaN\n", + " NaN\n", + " NaN\n", + " NaN\n", + " NaN\n", " \n", " \n", - " 8783\n", - " 2012-12-31 23:00:00\n", - " 0.0\n", - " -2.1\n", - " 86\n", - " 30\n", - " 11.3\n", - " 99.89\n", - " Snow\n", + " 2017-01-06\n", + " NaN\n", + " NaN\n", + " NaN\n", + " NaN\n", + " NaN\n", + " NaN\n", + " NaN\n", " \n", " \n", "\n", - "

8784 rows × 8 columns

\n", "" ], "text/plain": [ - " Date/Time Temp (C) Dew Point Temp (C) Rel Hum (%) \\\n", - "0 2012-01-01 00:00:00 -1.8 -3.9 86 \n", - "1 2012-01-01 01:00:00 -1.8 -3.7 87 \n", - "2 2012-01-01 02:00:00 -1.8 -3.4 89 \n", - "3 2012-01-01 03:00:00 -1.5 -3.2 88 \n", - "4 2012-01-01 04:00:00 -1.5 -3.3 88 \n", - "... ... ... ... ... \n", - "8779 2012-12-31 19:00:00 0.1 -2.7 81 \n", - "8780 2012-12-31 20:00:00 0.2 -2.4 83 \n", - "8781 2012-12-31 21:00:00 -0.5 -1.5 93 \n", - "8782 2012-12-31 22:00:00 -0.2 -1.8 89 \n", - "8783 2012-12-31 23:00:00 0.0 -2.1 86 \n", - "\n", - " Wind Spd (km/h) Visibility (km) Stn Press (kPa) Weather \n", - "0 4 8.0 101.24 Fog \n", - "1 4 8.0 101.24 Fog \n", - "2 7 4.0 101.26 Freezing Drizzle,Fog \n", - "3 6 4.0 101.27 Freezing Drizzle,Fog \n", - "4 7 4.8 101.23 Fog \n", - "... ... ... ... ... \n", - "8779 30 9.7 100.13 Snow \n", - "8780 24 9.7 100.03 Snow \n", - "8781 28 4.8 99.95 Snow \n", - "8782 28 9.7 99.91 Snow \n", - "8783 30 11.3 99.89 Snow \n", - "\n", - "[8784 rows x 8 columns]" + " A B C D F G H\n", + "2017-01-01 1.539921 2.0 -3.236204 1.564074 NaN 2.0 NaN\n", + "2017-01-02 1.458552 3.0 0.824625 0.950478 3.0 4.0 NaN\n", + "2017-01-03 NaN NaN NaN NaN NaN NaN NaN\n", + "2017-01-04 NaN NaN NaN NaN NaN NaN NaN\n", + "2017-01-05 NaN NaN NaN NaN NaN NaN NaN\n", + "2017-01-06 NaN NaN NaN NaN NaN NaN NaN" ] }, - "execution_count": 51, + "execution_count": 422, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "weather.reset_index()" + "df.add(pd.Series([1, 2], index=pd.date_range(\"2017-01-01\", periods=2)), axis=1)" ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 426, "metadata": {}, "outputs": [ { @@ -7798,113 +6509,97 @@ " \n", " \n", " \n", - " Temp (C)\n", - " Dew Point Temp (C)\n", - " Rel Hum (%)\n", - " Wind Spd (km/h)\n", - " Visibility (km)\n", - " Stn Press (kPa)\n", - " Weather\n", - " \n", - " \n", - " Date/Time\n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " A\n", + " B\n", + " C\n", + " D\n", + " F\n", + " G\n", + " H\n", " \n", " \n", " \n", " \n", - " 2012-01-01 00:00:00\n", - " -1.8\n", - " -3.9\n", - " 86\n", - " 4\n", - " 8.0\n", - " 101.24\n", - " Fog\n", + " 2017-01-01\n", + " 4.539921\n", + " NaN\n", + " -3.236204\n", + " 2.564074\n", + " NaN\n", + " 4.0\n", + " NaN\n", " \n", " \n", - " 2012-01-01 01:00:00\n", - " -1.8\n", - " -3.7\n", - " 87\n", - " 4\n", - " 8.0\n", - " 101.24\n", - " Fog\n", + " 2017-01-02\n", + " 3.458552\n", + " NaN\n", + " -0.175375\n", + " 0.950478\n", + " NaN\n", + " 5.0\n", + " NaN\n", " \n", " \n", - " 2012-01-01 02:00:00\n", - " -1.8\n", - " -3.4\n", - " 89\n", - " 7\n", - " 4.0\n", - " 101.26\n", - " Freezing Drizzle,Fog\n", + " 2017-01-03\n", + " 5.921935\n", + " NaN\n", + " 1.567789\n", + " 3.528788\n", + " NaN\n", + " 6.0\n", + " NaN\n", " \n", " \n", - " 2012-01-01 03:00:00\n", - " -1.5\n", - " -3.2\n", - " 88\n", - " 6\n", - " 4.0\n", - " 101.27\n", - " Freezing Drizzle,Fog\n", + " 2017-01-04\n", + " 2.632317\n", + " NaN\n", + " -0.661884\n", + " 2.261409\n", + " NaN\n", + " 7.0\n", + " NaN\n", " \n", " \n", - " 2012-01-01 04:00:00\n", - " -1.5\n", - " -3.3\n", - " 88\n", - " 7\n", - " 4.8\n", - " 101.23\n", - " Fog\n", + " 2017-01-05\n", + " 4.141583\n", + " NaN\n", + " 1.299264\n", + " 2.834499\n", + " NaN\n", + " 8.0\n", + " NaN\n", + " \n", + " \n", + " 2017-01-06\n", + " 3.843515\n", + " NaN\n", + " 1.654982\n", + " 1.299681\n", + " NaN\n", + " 9.0\n", + " NaN\n", " \n", " \n", "\n", "" ], "text/plain": [ - " Temp (C) Dew Point Temp (C) Rel Hum (%) \\\n", - "Date/Time \n", - "2012-01-01 00:00:00 -1.8 -3.9 86 \n", - "2012-01-01 01:00:00 -1.8 -3.7 87 \n", - "2012-01-01 02:00:00 -1.8 -3.4 89 \n", - "2012-01-01 03:00:00 -1.5 -3.2 88 \n", - "2012-01-01 04:00:00 -1.5 -3.3 88 \n", - "\n", - " Wind Spd (km/h) Visibility (km) Stn Press (kPa) \\\n", - "Date/Time \n", - "2012-01-01 00:00:00 4 8.0 101.24 \n", - "2012-01-01 01:00:00 4 8.0 101.24 \n", - "2012-01-01 02:00:00 7 4.0 101.26 \n", - "2012-01-01 03:00:00 6 4.0 101.27 \n", - "2012-01-01 04:00:00 7 4.8 101.23 \n", - "\n", - " Weather \n", - "Date/Time \n", - "2012-01-01 00:00:00 Fog \n", - "2012-01-01 01:00:00 Fog \n", - "2012-01-01 02:00:00 Freezing Drizzle,Fog \n", - "2012-01-01 03:00:00 Freezing Drizzle,Fog \n", - "2012-01-01 04:00:00 Fog " + " A B C D F G H\n", + "2017-01-01 4.539921 NaN -3.236204 2.564074 NaN 4.0 NaN\n", + "2017-01-02 3.458552 NaN -0.175375 0.950478 NaN 5.0 NaN\n", + "2017-01-03 5.921935 NaN 1.567789 3.528788 NaN 6.0 NaN\n", + "2017-01-04 2.632317 NaN -0.661884 2.261409 NaN 7.0 NaN\n", + "2017-01-05 4.141583 NaN 1.299264 2.834499 NaN 8.0 NaN\n", + "2017-01-06 3.843515 NaN 1.654982 1.299681 NaN 9.0 NaN" ] }, - "execution_count": 52, + "execution_count": 426, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "weather.head()" + "df.add(pd.Series([1, 2, 3, 4], index=[\"C\", \"D\", \"G\", \"A\"]))" ] }, { @@ -7912,6 +6607,18 @@ "execution_count": null, "metadata": {}, "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " precio descuento descuento_ precio_final\n", + "0 1 NaN 0.00 1.0\n", + "1 2 NaN 0.00 2.0\n", + "2 3 0.10 0.10 2.7\n", + "3 4 0.05 0.05 3.8\n", + "4 5 NaN 0.00 5.0\n" + ] + }, { "data": { "text/html": [ @@ -7933,442 +6640,11263 @@ " \n", " \n", " \n", - " Weather\n", - " Temp_range\n", - " Hum_max\n", - " Vis_min\n", + " A\n", + " B\n", + " C\n", + " D\n", + " F\n", + " descuento\n", + " descuento_\n", + " precio\n", + " precio_final\n", " \n", " \n", " \n", " \n", " 0\n", - " Clear\n", - " 56.1\n", - " 99\n", - " 11.3\n", + " NaN\n", + " NaN\n", + " NaN\n", + " NaN\n", + " NaN\n", + " NaN\n", + " NaN\n", + " NaN\n", + " NaN\n", " \n", " \n", " 1\n", - 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" 24.1\n", - " \n", - " \n", - " 44\n", - " Thunderstorms,Heavy Rain Showers\n", - " 0.0\n", - " 88\n", - " 2.4\n", - " \n", - " \n", - " 45\n", - " Thunderstorms,Moderate Rain Showers,Fog\n", - " 0.0\n", - " 93\n", - " 3.2\n", - " \n", - " \n", - " 46\n", - " Thunderstorms,Rain\n", - " 1.9\n", - " 93\n", - " 16.1\n", - " \n", - " \n", - " 47\n", - " Thunderstorms,Rain Showers\n", - " 14.5\n", - " 98\n", - " 6.4\n", - " \n", - " \n", - " 48\n", - " Thunderstorms,Rain Showers,Fog\n", - " 3.4\n", - " 91\n", - " 9.7\n", - " \n", - " \n", - " 49\n", - " Thunderstorms,Rain,Fog\n", - " 0.0\n", - " 88\n", - " 4.8\n", + " NaN\n", + " NaN\n", + " NaN\n", + " NaN\n", + " NaN\n", + " NaN\n", + " NaN\n", + " NaN\n", + " NaN\n", " \n", " \n", "\n", "" ], "text/plain": [ - " Weather Temp_range Hum_max Vis_min\n", - "0 Clear 56.1 99 11.3\n", - "1 Cloudy 51.9 99 11.3\n", - "2 Drizzle 17.7 96 6.4\n", - "3 Drizzle,Fog 19.9 100 1.0\n", - "4 Drizzle,Ice Pellets,Fog 0.0 92 4.0\n", - "5 Drizzle,Snow 0.3 95 9.7\n", - "6 Drizzle,Snow,Fog 0.8 98 2.4\n", - "7 Fog 36.8 100 0.2\n", - "8 Freezing Drizzle 6.7 93 4.8\n", - "9 Freezing Drizzle,Fog 6.1 94 3.6\n", - "10 Freezing Drizzle,Haze 0.8 83 2.0\n", - "11 Freezing Drizzle,Snow 5.0 94 2.4\n", - "12 Freezing Fog 18.9 99 0.2\n", - "13 Freezing Rain 6.8 92 2.8\n", - "14 Freezing Rain,Fog 6.2 93 2.8\n", - "15 Freezing Rain,Haze 0.0 83 2.0\n", - "16 Freezing Rain,Ice Pellets,Fog 0.0 92 8.0\n", - "17 Freezing Rain,Snow Grains 0.0 84 4.8\n", - "18 Haze 25.6 86 4.8\n", - "19 Mainly Clear 55.8 99 12.9\n", - "20 Moderate Rain,Fog 0.0 94 6.4\n", - "21 Moderate Snow 1.4 93 0.6\n", - "22 Moderate Snow,Blowing Snow 0.1 93 0.6\n", - "23 Mostly Cloudy 55.6 100 11.3\n", - "24 Rain 22.5 99 4.0\n", - "25 Rain Showers 24.8 97 6.4\n", - "26 Rain Showers,Fog 0.0 96 6.4\n", - "27 Rain Showers,Snow Showers 0.1 78 19.3\n", - "28 Rain,Fog 21.7 100 2.0\n", - "29 Rain,Haze 1.5 86 4.0\n", - "30 Rain,Ice Pellets 0.0 92 9.7\n", - "31 Rain,Snow 1.1 94 2.4\n", - "32 Rain,Snow Grains 0.0 75 25.0\n", - "33 Rain,Snow,Fog 0.0 96 6.4\n", - "34 Rain,Snow,Ice Pellets 0.4 94 4.8\n", - "35 Snow 20.4 96 1.0\n", - "36 Snow Pellets 0.0 59 2.4\n", - "37 Snow Showers 16.2 94 2.4\n", - "38 Snow Showers,Fog 1.3 92 4.0\n", - "39 Snow,Blowing Snow 10.6 91 0.6\n", - "40 Snow,Fog 11.2 99 1.2\n", - "41 Snow,Haze 0.7 81 4.0\n", - "42 Snow,Ice Pellets 5.1 92 2.8\n", - "43 Thunderstorms 5.1 87 24.1\n", - "44 Thunderstorms,Heavy Rain Showers 0.0 88 2.4\n", - "45 Thunderstorms,Moderate Rain Showers,Fog 0.0 93 3.2\n", - "46 Thunderstorms,Rain 1.9 93 16.1\n", - "47 Thunderstorms,Rain Showers 14.5 98 6.4\n", - "48 Thunderstorms,Rain Showers,Fog 3.4 91 9.7\n", - "49 Thunderstorms,Rain,Fog 0.0 88 4.8" + " A B C D F descuento descuento_ precio precio_final\n", + "0 NaN NaN NaN NaN NaN NaN NaN NaN NaN\n", + "1 NaN NaN NaN NaN NaN NaN NaN NaN NaN\n", + "2 NaN NaN NaN NaN NaN NaN NaN NaN NaN\n", + "3 NaN NaN NaN NaN NaN NaN NaN NaN NaN\n", + "4 NaN NaN NaN NaN NaN NaN NaN NaN NaN" ] }, - "execution_count": 187, - "metadata": {}, - "output_type": "execute_result" + "execution_count": 90, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "s2 = pd.Series([1, 2, 3, 4, 5], list('ABCDF'))\n", + "print(df)\n", + "df.add(s2, axis=1)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Existen también métodos `.mult()`, `.div()` y `.sub()` para multiplicar, dividir y restar `DataFrames` y `Series`. Los operadores aritméticos también funcionan pero son menos flexibles (no se puede especificar el eje)." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "##### Lectura de ficheros\n", + "\n", + "Al igual que Numpy, Pandas proporciona funciones para importar datos desde diversas fuentes a un `DataFrame`. La funciones principales son `read_csv()` y `read_table()`.\n", + "\n", + "Lista completa: http://pandas.pydata.org/pandas-docs/version/0.20/io.html" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Datos del número de bicicletas en la ciudad de Montreal\n", + "\n", + "Fuente: http://donnees.ville.montreal.qc.ca/dataset/velos-comptage" + ] + }, + { + "cell_type": "code", + "execution_count": 141, + "metadata": {}, + "outputs": [], + "source": [ + "import pandas as pd\n", + "\n", + "df = pd.read_csv(\"../../data/bikes2016.csv\", parse_dates=[\"Date\"], date_format={\"Date\": \"%d/%m/%Y\"})" + ] + }, + { + "cell_type": "code", + "execution_count": 142, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "(366, 20)" + ] + }, + "execution_count": 142, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df.shape" + ] + }, + { + "cell_type": "code", + "execution_count": 143, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Date datetime64[ns]\n", + "Timestamp object\n", + "Berri1 float64\n", + "Boyer int64\n", + "Brébeuf int64\n", + "CSC (Côte Sainte-Catherine) float64\n", + "Maisonneuve_2 float64\n", + "Maisonneuve_3 int64\n", + "Notre-Dame int64\n", + "Parc int64\n", + "PierDup int64\n", + "Pont_Jacques_Cartier int64\n", + "Rachel / Hôtel de Ville float64\n", + "Rachel / Papineau int64\n", + "René-Lévesque int64\n", + "Saint-Antoine int64\n", + "Saint-Urbain float64\n", + "Totem_Laurier int64\n", + "University int64\n", + "Viger int64\n", + "dtype: object" + ] + }, + "execution_count": 143, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df.dtypes" + ] + }, + { + "cell_type": "code", + "execution_count": 137, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "0 2016-01-01\n", + "1 2016-01-02\n", + "2 2016-01-03\n", + "3 2016-01-04\n", + "4 2016-01-05\n", + " ... \n", + "361 2016-12-27\n", + "362 2016-12-28\n", + "363 2016-12-29\n", + "364 2016-12-30\n", + "365 2016-12-31\n", + "Name: Date, Length: 366, dtype: datetime64[ns]" + ] + }, + "execution_count": 137, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df[\"Date\"]" + ] + }, + { + "cell_type": "code", + "execution_count": 100, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Series([], Name: Berri1, dtype: float32)" + ] + }, + "execution_count": 100, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "col_raw = df[\"Berri1\"]\n", + "col_num = pd.to_numeric(col_raw, errors=\"coerce\")\n", + "col_raw[col_num.isna() & ~col_raw.isna()]" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Date 0\n", + "Timestamp 0\n", + "Berri1 0\n", + "Boyer 0\n", + "Brébeuf 0\n", + "CSC (Côte Sainte-Catherine) 22\n", + "Maisonneuve_2 45\n", + "Maisonneuve_3 0\n", + "Notre-Dame 0\n", + "Parc 0\n", + "PierDup 0\n", + "Pont_Jacques_Cartier 0\n", + "Rachel / Hôtel de Ville 169\n", + "Rachel / Papineau 0\n", + "René-Lévesque 0\n", + "Saint-Antoine 0\n", + "Saint-Urbain 0\n", + "Totem_Laurier 0\n", + "University 0\n", + "Viger 0\n", + "dtype: int64" + ] + }, + "execution_count": 6, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df.isna().sum()" + ] + }, + { + "cell_type": "code", + "execution_count": 108, + "metadata": {}, + "outputs": [], + "source": [ + "df[\"TS\"] = pd.to_datetime(df[\"Date\"] + \" \" + df[\"Timestamp\"], format=\"%d/%m/%Y %H:%M\")" + ] + }, + { + "cell_type": "code", + "execution_count": 111, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Date object\n", + "Timestamp object\n", + "Berri1 float32\n", + "Boyer float64\n", + "Brébeuf int64\n", + "CSC (Côte Sainte-Catherine) float64\n", + "Maisonneuve_2 float64\n", + "Maisonneuve_3 int64\n", + "Notre-Dame int64\n", + "Parc int64\n", + "PierDup int64\n", + "Pont_Jacques_Cartier int64\n", + "Rachel / Hôtel de Ville float64\n", + "Rachel / Papineau int64\n", + "René-Lévesque int64\n", + "Saint-Antoine int64\n", + "Saint-Urbain float64\n", + "Totem_Laurier int64\n", + "University int64\n", + "Viger int64\n", + "TS datetime64[ns]\n", + "dtype: object" + ] + }, + "execution_count": 111, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df.dtypes" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [], + "source": [ + "titanic = pd.read_csv(\"../../data/titanic.csv\", sep=\";\", decimal=\",\", thousands=\".\", encoding=\"latin-1\")" + ] + }, + { + "cell_type": "code", + "execution_count": 186, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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121Wilhelms, Mr. Charlesmale31.00024427013.0000NaNSWilhelmsMr. CharlesMr
230Heininen, Miss. Wendla Mariafemale23.000STON/O2. 31012907.9250NaNSHeininenMiss. Wendla MariaMiss
330Klasen, Miss. Gertrud Emiliafemale1.01135040512.1833NaNSKlasenMiss. Gertrud EmiliaMiss
411Ismay, Mr. Joseph Brucemale49.0001120580.0000B52 B54 B56SIsmayMr. Joseph BruceMr
.............................................
130430Olsen, Mr. Karl Siegwart Andreasmale42.00145798.4042NaNSOlsenMr. Karl Siegwart AndreasMr
130531Baclini, Mrs. Solomon (Latifa Qurban)female24.003266619.2583NaNCBacliniMrs. Solomon (Latifa Qurban)Mrs
130610Rood, Mr. Hugh RoscoemaleNaN0011376750.0000A32SRoodMr. Hugh RoscoeMr
130730Stanley, Mr. Edward Rolandmale21.000A/4 453808.0500NaNSStanleyMr. Edward RolandMr
130820Mudd, Mr. Thomas Charlesmale16.000S.O./P.P. 310.5000NaNSMuddMr. Thomas CharlesMr
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1309 rows × 14 columns

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" + ], + "text/plain": [ + " pclass survived name sex age \\\n", + "0 2 1 Mellors, Mr. William John male 19.0 \n", + "1 2 1 Wilhelms, Mr. Charles male 31.0 \n", + "2 3 0 Heininen, Miss. Wendla Maria female 23.0 \n", + "3 3 0 Klasen, Miss. Gertrud Emilia female 1.0 \n", + "4 1 1 Ismay, Mr. Joseph Bruce male 49.0 \n", + "... ... ... ... ... ... \n", + "1304 3 0 Olsen, Mr. Karl Siegwart Andreas male 42.0 \n", + "1305 3 1 Baclini, Mrs. Solomon (Latifa Qurban) female 24.0 \n", + "1306 1 0 Rood, Mr. Hugh Roscoe male NaN \n", + "1307 3 0 Stanley, Mr. Edward Roland male 21.0 \n", + "1308 2 0 Mudd, Mr. Thomas Charles male 16.0 \n", + "\n", + " sibsp parch ticket fare cabin embarked apellidos \\\n", + "0 0 0 SW/PP 751 10.5000 NaN S Mellors \n", + "1 0 0 244270 13.0000 NaN S Wilhelms \n", + "2 0 0 STON/O2. 3101290 7.9250 NaN S Heininen \n", + "3 1 1 350405 12.1833 NaN S Klasen \n", + "4 0 0 112058 0.0000 B52 B54 B56 S Ismay \n", + "... ... ... ... ... ... ... ... \n", + "1304 0 1 4579 8.4042 NaN S Olsen \n", + "1305 0 3 2666 19.2583 NaN C Baclini \n", + "1306 0 0 113767 50.0000 A32 S Rood \n", + "1307 0 0 A/4 45380 8.0500 NaN S Stanley \n", + "1308 0 0 S.O./P.P. 3 10.5000 NaN S Mudd \n", + "\n", + " nombre titulo \n", + "0 Mr. William John Mr \n", + "1 Mr. Charles Mr \n", + "2 Miss. Wendla Maria Miss \n", + "3 Miss. Gertrud Emilia Miss \n", + "4 Mr. Joseph Bruce Mr \n", + "... ... ... \n", + "1304 Mr. Karl Siegwart Andreas Mr \n", + "1305 Mrs. Solomon (Latifa Qurban) Mrs \n", + "1306 Mr. Hugh Roscoe Mr \n", + "1307 Mr. Edward Roland Mr \n", + "1308 Mr. Thomas Charles Mr \n", + "\n", + "[1309 rows x 14 columns]" + ] + }, + "execution_count": 192, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "titanic" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": 184, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "0 SW/PP 751\n", + "1 244270\n", + "2 STON/O2. 3101290\n", + "3 350405\n", + "4 112058\n", + " ... \n", + "1304 4579\n", + "1305 2666\n", + "1306 113767\n", + "1307 A/4 45380\n", + "1308 S.O./P.P. 3\n", + "Name: ticket, Length: 1309, dtype: object" + ] + }, + "execution_count": 184, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "titanic[\"ticket\"]" + ] + }, + { + "cell_type": "code", + "execution_count": 34, + "metadata": {}, + "outputs": [], + "source": [ + "a = pd.to_numeric(titanic[\"ticket\"].str.replace(r\"[^\\d]\", \"\", regex=True))" + ] + }, + { + "cell_type": "code", + "execution_count": 37, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "357 LINE\n", + "716 LINE\n", + "931 LINE\n", + "1146 LINE\n", + "Name: ticket, dtype: object" + ] + }, + "execution_count": 37, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "titanic[\"ticket\"][a.isna()]" + ] + }, + { + "cell_type": "code", + "execution_count": 29, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "0 19,0\n", + "1 31,0\n", + "2 23,0\n", + "3 1,0\n", + "4 49,0\n", + " ... \n", + "1304 42,0\n", + "1305 24,0\n", + "1306 nan\n", + "1307 21,0\n", + "1308 16,0\n", + "Name: age, Length: 1309, dtype: object" + ] + }, + "execution_count": 29, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "titanic['age'].astype(\"str\").str.replace(\".\", \",\")" + ] + }, + { + "cell_type": "code", + "execution_count": 43, + "metadata": {}, + "outputs": [], + "source": [ + "titanic[[\"apellidos\", \"nombre\"]] = titanic[\"name\"].str.split(\",\", expand=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 44, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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021Mellors, Mr. William Johnmale19.000SW/PP 75110.5000NaNSMellorsMr. William John
121Wilhelms, Mr. Charlesmale31.00024427013.0000NaNSWilhelmsMr. Charles
230Heininen, Miss. Wendla Mariafemale23.000STON/O2. 31012907.9250NaNSHeininenMiss. Wendla Maria
330Klasen, Miss. Gertrud Emiliafemale1.01135040512.1833NaNSKlasenMiss. Gertrud Emilia
411Ismay, Mr. Joseph Brucemale49.0001120580.0000B52 B54 B56SIsmayMr. Joseph Bruce
..........................................
130430Olsen, Mr. Karl Siegwart Andreasmale42.00145798.4042NaNSOlsenMr. Karl Siegwart Andreas
130531Baclini, Mrs. Solomon (Latifa Qurban)female24.003266619.2583NaNCBacliniMrs. Solomon (Latifa Qurban)
130610Rood, Mr. Hugh RoscoemaleNaN0011376750.0000A32SRoodMr. Hugh Roscoe
130730Stanley, Mr. Edward Rolandmale21.000A/4 453808.0500NaNSStanleyMr. Edward Roland
130820Mudd, Mr. Thomas Charlesmale16.000S.O./P.P. 310.5000NaNSMuddMr. Thomas Charles
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" + ], + "text/plain": [ + " DIA Usos bicis abono anual Usos bicis abono ocasional \\\n", + "0 2020-03-01 6325 134 \n", + "1 2020-03-02 9025 50 \n", + "2 2020-03-03 11502 34 \n", + "3 2020-03-04 13020 43 \n", + "4 2020-03-05 12380 43 \n", + "\n", + " Usos bicis total Tipo de día \n", + "0 6459 Sab, dom, fest \n", + "1 9075 Lab lun-vie \n", + "2 11536 Lab lun-vie \n", + "3 13063 Lab lun-vie \n", + "4 12423 Lab lun-vie " + ] + }, + "execution_count": 201, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df1.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 409, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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" + ], + "text/plain": [ + " Usos bicis abono anual Usos bicis abono ocasional \\\n", + "Tipo de día \n", + "Lab lun-vie 110319 500 \n", + "Sab, dom, fest 26309 516 \n", + "\n", + " Usos bicis total \n", + "Tipo de día \n", + "Lab lun-vie 110819 \n", + "Sab, dom, fest 26825 " + ] + }, + "execution_count": 409, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df1.drop(columns=\"DIA\").groupby(\"Tipo de día\").sum()" + ] + }, + { + "cell_type": "code", + "execution_count": 199, + "metadata": {}, + "outputs": [], + "source": [ + "df2 = pd.read_excel(\n", + " \"../../data/bicis_usos_acumulado.xls\", \n", + " sheet_name=\"Usos mar 2020\", \n", + " skiprows=39, \n", + " nrows=4, \n", + " usecols=\"A:D\", \n", + " index_col=0\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 200, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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Usos bicis abono anualUsos bicis abono ocasionalUsos bicis total
Laborables lun-vie5014.50000022.7272735037.227273
Sab, dom, festivos2923.22222257.3333332980.555556
Total mes4407.35483932.7741944440.129032
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" + ], + "text/plain": [ + " Usos bicis abono anual Usos bicis abono ocasional \\\n", + "Laborables lun-vie 5014.500000 22.727273 \n", + "Sab, dom, festivos 2923.222222 57.333333 \n", + "Total mes 4407.354839 32.774194 \n", + "\n", + " Usos bicis total \n", + "Laborables lun-vie 5037.227273 \n", + "Sab, dom, festivos 2980.555556 \n", + "Total mes 4440.129032 " + ] + }, + "execution_count": 200, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df2" + ] + }, + { + "cell_type": "code", + "execution_count": 410, + "metadata": {}, + "outputs": [], + "source": [ + "df = pd.read_excel(\"../../data/bicis_usos_acumulado.xls\", thousands=\",\", sheet_name=\"Tabla usos\")" + ] + }, + { + "cell_type": "code", + "execution_count": 413, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "max 2020-03-31\n", + "min 2014-06-23\n", + "Name: DIA, dtype: datetime64[ns]" + ] + }, + "execution_count": 413, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df[\"DIA\"].agg([\"max\", \"min\"])" + ] + }, + { + "cell_type": "code", + "execution_count": 416, + "metadata": {}, + "outputs": [], + "source": [ + "df[\"año\"] = df[\"DIA\"].dt.year" + ] + }, + { + "cell_type": "code", + "execution_count": 419, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Index(['DIA', 'Usos bicis abono anual ', 'Usos bicis abono ocasional ',\n", + " 'Usos bicis total', 'Unnamed: 4', 'Usos abono anual acumulado',\n", + " 'Usos abono ocasional acumulado', 'Usos total acumulado desde inicio',\n", + " 'Unnamed: 8', 'Acumulado mes total', 'Unnamed: 10', 'Unnamed: 11',\n", + " 'año'],\n", + " dtype='object')" + ] + }, + "execution_count": 419, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df.columns" + ] + }, + { + "cell_type": "code", + "execution_count": 421, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "año\n", + "2014 727456\n", + "2015 3087217\n", + "2016 2813137\n", + "2017 3350222\n", + "2018 3573862\n", + "2019 3895978\n", + "2020 711236\n", + "Name: Usos bicis total, dtype: int64" + ] + }, + "execution_count": 421, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df.groupby(\"año\")[\"Usos bicis total\"].sum()" + ] + }, + { + "cell_type": "code", + "execution_count": 164, + "metadata": {}, + "outputs": [], + "source": [ + "cols_to_keep = [col for col in df.columns if not col.startswith(\"Unnamed\")]" + ] + }, + { + "cell_type": "code", + "execution_count": 165, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "DIA datetime64[ns]\n", + "Usos bicis abono anual int64\n", + "Usos bicis abono ocasional int64\n", + "Usos bicis total int64\n", + "Usos abono anual acumulado int64\n", + "Usos abono ocasional acumulado int64\n", + "Usos total acumulado desde inicio int64\n", + "Acumulado mes total float64\n", + "dtype: object" + ] + }, + "execution_count": 165, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df[cols_to_keep].dtypes" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Ejemplo IDNEO" + ] + }, + { + "cell_type": "code", + "execution_count": 45, + "metadata": {}, + "outputs": [], + "source": [ + "idneo = pd.read_csv(\"../../data/414100232_DAT_SW_PCA_A03RC1_vC14.csv\", header=None)" + ] + }, + { + "cell_type": "code", + "execution_count": 46, + "metadata": {}, + "outputs": [], + "source": [ + "keys = []\n", + "vals = []\n", + "with open(\"../../data/414100232_DAT_SW_PCA_A03RC1_vC14.csv\", \"r\") as fp:\n", + " for line in fp:\n", + " fields = line.split(\";\") \n", + " if len(fields) == 2:\n", + " keys.append(fields[1].strip())\n", + " elif len(fields) == 3:\n", + " vals.append(float(fields[2]))\n", + " else:\n", + " continue" + ] + }, + { + "cell_type": "code", + "execution_count": 47, + "metadata": {}, + "outputs": [], + "source": [ + "s = pd.Series(vals, index=keys)" + ] + }, + { + "cell_type": "code", + "execution_count": 124, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "0 4\n", + "1 4\n", + "2 4\n", + "3 4\n", + "4 4\n", + " ..\n", + "1270 3\n", + "1271 3\n", + "1272 3\n", + "1273 3\n", + "1274 3\n", + "Length: 1275, dtype: int64" + ] + }, + "execution_count": 124, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "pd.Series(keys).str.split(\".\").apply(len)" + ] + }, + { + "cell_type": "code", + "execution_count": 128, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "0 4\n", + "1 4\n", + "2 4\n", + "3 4\n", + "4 4\n", + " ..\n", + "1270 3\n", + "1271 3\n", + "1272 3\n", + "1273 3\n", + "1274 3\n", + "Length: 1275, dtype: int64" + ] + }, + "execution_count": 128, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "pd.Series(keys).str.split(\".\", expand=True).notna().sum(axis=1)" + ] + }, + { + "cell_type": "code", + "execution_count": 62, + "metadata": {}, + "outputs": [], + "source": [ + "dat = pd.Series(keys).str.split(\".\", expand=True, n=3).rename(columns={0: \"A\", 1: \"B\", 2: \"C\", 3: \"pos\"})" + ] + }, + { + "cell_type": "code", + "execution_count": 64, + "metadata": {}, + "outputs": [], + "source": [ + "dat[\"value\"] = vals" + ] + }, + { + "cell_type": "code", + "execution_count": 78, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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meanmaxminsumsize
B
CGs_SWC103_Auto_HVAC_nullSWAddr6.864716428.0-24.4375992258.491690329
CGs_SWC101_SensorMonitoring_nullSWAddr985.5407604013.0-41.000000318329.665401323
CGs_SWC102_HVAC_PMU_nullSWAddr845.08708372000.0-35.000000202820.900000240
CGs_SWC002_ExtLightsFunc_nullSWAddr378.4166674505.0-15.00000022705.00000060
CGs_SWC013_Lights_Diagnostics_nullSWAddr1684.89090932768.00.00000092669.00000055
CGs_SWC010_IntLightsFunc_nullSWAddr3205.00000032768.00.000000163455.00000051
CGs_SWC105_Safety_SensorMonitoring_nullSWAddr1447.3043483714.01.00000066576.00000046
CGs_SWC004_Washer_Wiper_nullSWAddr545.4000004095.00.00000021816.00000040
CGs_SWC001_VehicleStates_nullSWAddr7541.760000120000.01.000000188544.00000025
CGs_SWC020_SeatBelt_Manager_nullSWAddr1291.7619056100.015.00000027127.00000021
CGs_SWC005_Window_nullSWAddr2909.50000032768.00.00000034914.00000012
CGs_SWCDD002_SBC_Control_nullSWAddr1319.0000001800.01.0000009233.0000007
CGs_SWC022_CrashResponse_nullSWAddr217.666667500.010.0000001306.0000006
CGs_SWC012_PEPAS_nullSWAddr20.33333370.00.000000122.0000006
CGs_SWC008_Horn_nullSWAddr698.5000004021.01.0000004191.0000006
CGs_SWC006_Closure_nullSWAddr53.333333200.05.000000320.0000006
CGs_BSW002_IoHwAb_Core0_nullSWAddr37.20000067.01.000000186.0000005
CGs_SWCDD007_SPI_TellTales_nullSWAddr4125.00000016384.00.00000016500.0000004
CGs_SWC016_ESCL_Manager_nullSWAddr13570.00000054000.00.00000054280.0000004
CGs_SWC011_PowerManagement_nullSWAddr316.2500001000.015.0000001265.0000004
CGs_SWC007_TellTales_Gateway_nullSWAddr253.5000001000.01.0000001014.0000004
CGs_SWC023_Wiper_Supervisor_nullSWAddr1029.0000004000.01.0000004116.0000004
CGs_SWC018_VehicleStates_Supervisor_nullSWAddr518.3333331500.05.0000001555.0000003
CGs_SWC025_Closure_Supervisor_nullSWAddr183.333333500.05.000000550.0000003
CGs_SWC017_ESCL_Supervisor_nullSWAddr1338.6666674000.00.0000004016.0000003
CGs_SWC104_DiagnosticServer_nullSWAddr55.00000060.050.000000110.0000002
CGs_BSW003_IoHwAb_Core1_nullSWAddr80.50000081.080.000000161.0000002
CGs_SWCOM02_LIN_Protection_nullSWAddr2.0000003.01.0000004.0000002
CGs_SWC021_TellTales_Diagnostics_nullSWAddr200.000000200.0200.000000200.0000001
CGs_SWCOM01_CAN_Protection_nullSWAddr1.0000001.01.0000001.0000001
\n", + "
" + ], + "text/plain": [ + " mean max \\\n", + "B \n", + "CGs_SWC103_Auto_HVAC_nullSWAddr 6.864716 428.0 \n", + "CGs_SWC101_SensorMonitoring_nullSWAddr 985.540760 4013.0 \n", + "CGs_SWC102_HVAC_PMU_nullSWAddr 845.087083 72000.0 \n", + "CGs_SWC002_ExtLightsFunc_nullSWAddr 378.416667 4505.0 \n", + "CGs_SWC013_Lights_Diagnostics_nullSWAddr 1684.890909 32768.0 \n", + "CGs_SWC010_IntLightsFunc_nullSWAddr 3205.000000 32768.0 \n", + "CGs_SWC105_Safety_SensorMonitoring_nullSWAddr 1447.304348 3714.0 \n", + "CGs_SWC004_Washer_Wiper_nullSWAddr 545.400000 4095.0 \n", + "CGs_SWC001_VehicleStates_nullSWAddr 7541.760000 120000.0 \n", + "CGs_SWC020_SeatBelt_Manager_nullSWAddr 1291.761905 6100.0 \n", + "CGs_SWC005_Window_nullSWAddr 2909.500000 32768.0 \n", + "CGs_SWCDD002_SBC_Control_nullSWAddr 1319.000000 1800.0 \n", + "CGs_SWC022_CrashResponse_nullSWAddr 217.666667 500.0 \n", + "CGs_SWC012_PEPAS_nullSWAddr 20.333333 70.0 \n", + "CGs_SWC008_Horn_nullSWAddr 698.500000 4021.0 \n", + "CGs_SWC006_Closure_nullSWAddr 53.333333 200.0 \n", + "CGs_BSW002_IoHwAb_Core0_nullSWAddr 37.200000 67.0 \n", + "CGs_SWCDD007_SPI_TellTales_nullSWAddr 4125.000000 16384.0 \n", + "CGs_SWC016_ESCL_Manager_nullSWAddr 13570.000000 54000.0 \n", + "CGs_SWC011_PowerManagement_nullSWAddr 316.250000 1000.0 \n", + "CGs_SWC007_TellTales_Gateway_nullSWAddr 253.500000 1000.0 \n", + "CGs_SWC023_Wiper_Supervisor_nullSWAddr 1029.000000 4000.0 \n", + "CGs_SWC018_VehicleStates_Supervisor_nullSWAddr 518.333333 1500.0 \n", + "CGs_SWC025_Closure_Supervisor_nullSWAddr 183.333333 500.0 \n", + "CGs_SWC017_ESCL_Supervisor_nullSWAddr 1338.666667 4000.0 \n", + "CGs_SWC104_DiagnosticServer_nullSWAddr 55.000000 60.0 \n", + "CGs_BSW003_IoHwAb_Core1_nullSWAddr 80.500000 81.0 \n", + "CGs_SWCOM02_LIN_Protection_nullSWAddr 2.000000 3.0 \n", + "CGs_SWC021_TellTales_Diagnostics_nullSWAddr 200.000000 200.0 \n", + "CGs_SWCOM01_CAN_Protection_nullSWAddr 1.000000 1.0 \n", + "\n", + " min sum \\\n", + "B \n", + "CGs_SWC103_Auto_HVAC_nullSWAddr -24.437599 2258.491690 \n", + "CGs_SWC101_SensorMonitoring_nullSWAddr -41.000000 318329.665401 \n", + "CGs_SWC102_HVAC_PMU_nullSWAddr -35.000000 202820.900000 \n", + "CGs_SWC002_ExtLightsFunc_nullSWAddr -15.000000 22705.000000 \n", + "CGs_SWC013_Lights_Diagnostics_nullSWAddr 0.000000 92669.000000 \n", + "CGs_SWC010_IntLightsFunc_nullSWAddr 0.000000 163455.000000 \n", + "CGs_SWC105_Safety_SensorMonitoring_nullSWAddr 1.000000 66576.000000 \n", + "CGs_SWC004_Washer_Wiper_nullSWAddr 0.000000 21816.000000 \n", + "CGs_SWC001_VehicleStates_nullSWAddr 1.000000 188544.000000 \n", + "CGs_SWC020_SeatBelt_Manager_nullSWAddr 15.000000 27127.000000 \n", + "CGs_SWC005_Window_nullSWAddr 0.000000 34914.000000 \n", + "CGs_SWCDD002_SBC_Control_nullSWAddr 1.000000 9233.000000 \n", + "CGs_SWC022_CrashResponse_nullSWAddr 10.000000 1306.000000 \n", + "CGs_SWC012_PEPAS_nullSWAddr 0.000000 122.000000 \n", + "CGs_SWC008_Horn_nullSWAddr 1.000000 4191.000000 \n", + "CGs_SWC006_Closure_nullSWAddr 5.000000 320.000000 \n", + "CGs_BSW002_IoHwAb_Core0_nullSWAddr 1.000000 186.000000 \n", + "CGs_SWCDD007_SPI_TellTales_nullSWAddr 0.000000 16500.000000 \n", + "CGs_SWC016_ESCL_Manager_nullSWAddr 0.000000 54280.000000 \n", + "CGs_SWC011_PowerManagement_nullSWAddr 15.000000 1265.000000 \n", + "CGs_SWC007_TellTales_Gateway_nullSWAddr 1.000000 1014.000000 \n", + "CGs_SWC023_Wiper_Supervisor_nullSWAddr 1.000000 4116.000000 \n", + "CGs_SWC018_VehicleStates_Supervisor_nullSWAddr 5.000000 1555.000000 \n", + "CGs_SWC025_Closure_Supervisor_nullSWAddr 5.000000 550.000000 \n", + "CGs_SWC017_ESCL_Supervisor_nullSWAddr 0.000000 4016.000000 \n", + "CGs_SWC104_DiagnosticServer_nullSWAddr 50.000000 110.000000 \n", + "CGs_BSW003_IoHwAb_Core1_nullSWAddr 80.000000 161.000000 \n", + "CGs_SWCOM02_LIN_Protection_nullSWAddr 1.000000 4.000000 \n", + "CGs_SWC021_TellTales_Diagnostics_nullSWAddr 200.000000 200.000000 \n", + "CGs_SWCOM01_CAN_Protection_nullSWAddr 1.000000 1.000000 \n", + "\n", + " size \n", + "B \n", + "CGs_SWC103_Auto_HVAC_nullSWAddr 329 \n", + "CGs_SWC101_SensorMonitoring_nullSWAddr 323 \n", + "CGs_SWC102_HVAC_PMU_nullSWAddr 240 \n", + "CGs_SWC002_ExtLightsFunc_nullSWAddr 60 \n", + "CGs_SWC013_Lights_Diagnostics_nullSWAddr 55 \n", + "CGs_SWC010_IntLightsFunc_nullSWAddr 51 \n", + "CGs_SWC105_Safety_SensorMonitoring_nullSWAddr 46 \n", + "CGs_SWC004_Washer_Wiper_nullSWAddr 40 \n", + "CGs_SWC001_VehicleStates_nullSWAddr 25 \n", + "CGs_SWC020_SeatBelt_Manager_nullSWAddr 21 \n", + "CGs_SWC005_Window_nullSWAddr 12 \n", + "CGs_SWCDD002_SBC_Control_nullSWAddr 7 \n", + "CGs_SWC022_CrashResponse_nullSWAddr 6 \n", + "CGs_SWC012_PEPAS_nullSWAddr 6 \n", + "CGs_SWC008_Horn_nullSWAddr 6 \n", + "CGs_SWC006_Closure_nullSWAddr 6 \n", + "CGs_BSW002_IoHwAb_Core0_nullSWAddr 5 \n", + "CGs_SWCDD007_SPI_TellTales_nullSWAddr 4 \n", + "CGs_SWC016_ESCL_Manager_nullSWAddr 4 \n", + "CGs_SWC011_PowerManagement_nullSWAddr 4 \n", + "CGs_SWC007_TellTales_Gateway_nullSWAddr 4 \n", + "CGs_SWC023_Wiper_Supervisor_nullSWAddr 4 \n", + "CGs_SWC018_VehicleStates_Supervisor_nullSWAddr 3 \n", + "CGs_SWC025_Closure_Supervisor_nullSWAddr 3 \n", + "CGs_SWC017_ESCL_Supervisor_nullSWAddr 3 \n", + "CGs_SWC104_DiagnosticServer_nullSWAddr 2 \n", + "CGs_BSW003_IoHwAb_Core1_nullSWAddr 2 \n", + "CGs_SWCOM02_LIN_Protection_nullSWAddr 2 \n", + "CGs_SWC021_TellTales_Diagnostics_nullSWAddr 1 \n", + "CGs_SWCOM01_CAN_Protection_nullSWAddr 1 " + ] + }, + "execution_count": 78, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "dat.groupby(\"B\")[\"value\"].agg([\"mean\", \"max\", \"min\", \"sum\", \"size\"]).sort_values(\"size\", ascending=False)" + ] + }, + { + "cell_type": "code", + "execution_count": 81, + "metadata": {}, + "outputs": [], + "source": [ + "dat[\"B\"] = dat[\"B\"].str.removeprefix(\"CGs_\")" + ] + }, + { + "cell_type": "code", + "execution_count": 86, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "0 BSW002_IoHwAb_Core0_nullSWAddr\n", + "1 BSW002_IoHwAb_Core0_nullSWAddr\n", + "2 BSW002_IoHwAb_Core0_nullSWAddr\n", + "3 BSW002_IoHwAb_Core0_nullSWAddr\n", + "4 BSW002_IoHwAb_Core0_nullSWAddr\n", + " ... \n", + "1270 SWCDD007_SPI_TellTales_nullSWAddr\n", + "1271 SWCDD007_SPI_TellTales_nullSWAddr\n", + "1272 SWCOM01_CAN_Protection_nullSWAddr\n", + "1273 SWCOM02_LIN_Protection_nullSWAddr\n", + "1274 SWCOM02_LIN_Protection_nullSWAddr\n", + "Name: B, Length: 1275, dtype: object" + ] + }, + "execution_count": 86, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "dat[\"B\"]" + ] + }, + { + "cell_type": "code", + "execution_count": 87, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "0 IoHwAb_Core0_nullSWAddr\n", + "1 IoHwAb_Core0_nullSWAddr\n", + "2 IoHwAb_Core0_nullSWAddr\n", + "3 IoHwAb_Core0_nullSWAddr\n", + "4 IoHwAb_Core0_nullSWAddr\n", + " ... \n", + "1270 SPI_TellTales_nullSWAddr\n", + "1271 SPI_TellTales_nullSWAddr\n", + "1272 CAN_Protection_nullSWAddr\n", + "1273 LIN_Protection_nullSWAddr\n", + "1274 LIN_Protection_nullSWAddr\n", + "Name: B, Length: 1275, dtype: object" + ] + }, + "execution_count": 87, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "dat[\"B\"].str.replace(r\"^[^_]*_\", \"\", regex=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 92, + "metadata": {}, + "outputs": [], + "source": [ + "dat[\"pos\"] = dat[\"pos\"].fillna(value=\"_0_\")" + ] + }, + { + "cell_type": "code", + "execution_count": 95, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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meanmaxminsumsize
Bpos
SWC101_SensorMonitoring_nullSWAddr_0_1061.0331314013.0-41.0181436.665401171
SWC102_HVAC_PMU_nullSWAddr_0_2487.75512872000.0-35.0194044.90000078
SWC002_ExtLightsFunc_nullSWAddr_0_378.4166674505.0-15.022705.00000060
SWC013_Lights_Diagnostics_nullSWAddr_0_1684.89090932768.00.092669.00000055
SWC010_IntLightsFunc_nullSWAddr_0_3205.00000032768.00.0163455.00000051
.....................
SWC103_Auto_HVAC_nullSWAddr_16_20.00000020.020.020.0000001
_15_15.00000015.015.015.0000001
BSW002_IoHwAb_Core0_nullSWAddr_2_4.0000004.04.04.0000001
SWCOM01_CAN_Protection_nullSWAddr_0_1.0000001.01.01.0000001
SWC021_TellTales_Diagnostics_nullSWAddr_0_200.000000200.0200.0200.0000001
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posABC0123456...293031323334353637values_array
0Rte_CalprmInitRAMBSW002_IoHwAb_Core0_nullSWAddrcalibration_version67.01.04.0NaNNaNNaNNaN...NaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
1Rte_CalprmInitRAMBSW002_IoHwAb_Core0_nullSWAddrgmd_pn_calibration_version57.057.0NaNNaNNaNNaNNaN...NaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
2Rte_CalprmInitRAMBSW003_IoHwAb_Core1_nullSWAddrc_sample_thd_cal81.0NaNNaNNaNNaNNaNNaN...NaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
3Rte_CalprmInitRAMBSW003_IoHwAb_Core1_nullSWAddrd_sample_thd_cal80.0NaNNaNNaNNaNNaNNaN...NaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
4Rte_CalprmInitRAMSWC001_VehicleStates_nullSWAddrkey_not_found_counter_thd_cal10.0NaNNaNNaNNaNNaNNaN...NaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
..................................................................
631Rte_CalprmInitRAMSWCDD007_SPI_TellTales_nullSWAddrttales_gclk_duty_cal16384.0NaNNaNNaNNaNNaNNaN...NaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
632Rte_CalprmInitRAMSWCDD007_SPI_TellTales_nullSWAddrttales_gclk_period_cal16.0NaNNaNNaNNaNNaNNaN...NaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
633Rte_CalprmInitRAMSWCOM01_CAN_Protection_nullSWAddrCAN_e2e_flags_enable_cal1.0NaNNaNNaNNaNNaNNaN...NaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
634Rte_CalprmInitRAMSWCOM02_LIN_Protection_nullSWAddrLIN_e2e_flags_enable_cal1.0NaNNaNNaNNaNNaNNaN...NaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
635Rte_CalprmInitRAMSWCOM02_LIN_Protection_nullSWAddrflap_max_position_adjustatment_cal3.0NaNNaNNaNNaNNaNNaN...NaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
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636 rows × 42 columns

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ABCposvalue
0Rte_CalprmInitRAMBSW002_IoHwAb_Core0_nullSWAddrcalibration_version067.0
1Rte_CalprmInitRAMBSW002_IoHwAb_Core0_nullSWAddrcalibration_version11.0
2Rte_CalprmInitRAMBSW002_IoHwAb_Core0_nullSWAddrcalibration_version24.0
3Rte_CalprmInitRAMBSW002_IoHwAb_Core0_nullSWAddrgmd_pn_calibration_version057.0
4Rte_CalprmInitRAMBSW002_IoHwAb_Core0_nullSWAddrgmd_pn_calibration_version157.0
..................
1270Rte_CalprmInitRAMSWCDD007_SPI_TellTales_nullSWAddrttales_gclk_duty_cal016384.0
1271Rte_CalprmInitRAMSWCDD007_SPI_TellTales_nullSWAddrttales_gclk_period_cal016.0
1272Rte_CalprmInitRAMSWCOM01_CAN_Protection_nullSWAddrCAN_e2e_flags_enable_cal01.0
1273Rte_CalprmInitRAMSWCOM02_LIN_Protection_nullSWAddrLIN_e2e_flags_enable_cal01.0
1274Rte_CalprmInitRAMSWCOM02_LIN_Protection_nullSWAddrflap_max_position_adjustatment_cal03.0
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1275 rows × 5 columns

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std3251.68535910716.847337
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SectionSw_BlockSw_ComponentObjectRAM_DecROM_Dec
196Main_ApplicationblockSWC01_Audio_processingSWC01_AWE_Integration.o716805452
199Main_ApplicationblockSWC01_Audio_processingSWC01_Tunning_Interface.o1064212
482Main_ApplicationAWEAwelibAWECore.a456200282
7Main_ApplicationCommunicationsCanTpCanTp_Lcfg.o1720
8Main_ApplicationCommunicationsCanTpCanTp_PBcfg.o1720
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" + ], + "text/plain": [ + " Section Sw_Block Sw_Component \\\n", + "196 Main_Application block SWC01_Audio_processing \n", + "199 Main_Application block SWC01_Audio_processing \n", + "482 Main_Application AWE Awe \n", + "7 Main_Application Communications CanTp \n", + "8 Main_Application Communications CanTp \n", + "\n", + " Object RAM_Dec ROM_Dec \n", + "196 SWC01_AWE_Integration.o 71680 5452 \n", + "199 SWC01_Tunning_Interface.o 1064 212 \n", + "482 libAWECore.a 456 200282 \n", + "7 CanTp_Lcfg.o 172 0 \n", + "8 CanTp_PBcfg.o 172 0 " + ] + }, + "execution_count": 264, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df3[is_main_application].sort_values([\"RAM_Dec\", \"ROM_Dec\"], ascending=False).head(5)" + ] + }, + { + "cell_type": "code", + "execution_count": 272, + "metadata": {}, + "outputs": [], + "source": [ + "df4 = pd.read_csv(\n", + " \"../../data/obj_sizes_gmd.csv\", \n", + " sep=\";\", \n", + " skiprows=2, \n", + " skipfooter=9, \n", + " engine=\"python\", \n", + " usecols=not_unnamed\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 297, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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SectionSw_BlockSw_ComponentObjectRAM_DecROM_Dec
0Main_ApplicationMemoryNvMrba_MemLib_TimerUs.o02
1Main_ApplicationMemoryNvMrba_MemLib_Random.o0306
2Main_ApplicationMemoryNvMrba_MemLib_Mem.o0792
3Main_ApplicationMemoryNvMrba_MemLib.o00
4Main_ApplicationMemoryFeerba_FeeFs1_Write.o0100
.....................
1118Main_ApplicationNo_Sw_BlockNo_Sw_Componentsqrtf_tiny44
1119Main_ApplicationStackStack_stack00
1120Main_ApplicationReserved_FCLCopyReserved_FCLCopy_reserved_FCLCopy00
1121Main_ApplicationOverheadOverheadOverhead00
1122BootloaderBootloaderBootloaderBootloader17132209312
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Sw_BlockRAM_DecROM_Dec
meansizemedianmaxminmean
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Sw_BlockRAM_DecROM_Dec
meansizemedianmaxminmean
0Application155.202703741261.02265783101.459459
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2Communications22.49835030326.0195530300.495050
3ComplexDeviceDrivers50.38461526499.556008442961.423077
4Diagnostics66.38219919110.0118400617.387435
5IoHwAb81.0000007906.03219741097.857143
6MCAL34.848214112291.01682001309.455357
7Memory60.528302106170.084540524.207547
8No_Sw_Block13.98930518730.01480077.518717
10Overhead0.00000010.0000.000000
12Reserved_FCLCopy0.00000010.0000.000000
13Simlk_Libraries0.00000030125.025642134.800000
14Stack0.00000010.0000.000000
15Stub_component1.666667356.0961054.000000
16SystemServices7.56338071104.040960308.873239
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SectionSw_BlockSw_ComponentObjectRAM_DecROM_Dec
144Main_ApplicationApplicationSWDIAG01_Diagnostic_DispatcherSWDIAG01_Diagnostic_Dispatcher.o133765
145Main_ApplicationApplicationSWCOM02_LIN_ProtectionSWCOM02_LIN_Protection.o1047242
146Main_ApplicationApplicationSWCOM02_LIN_ProtectionSWCOM02_Functions.o3372736
147Main_ApplicationApplicationSWCOM01_CAN_ProtectionSWCOM01_Functions.o6334837
148Main_ApplicationApplicationSWCOM01_CAN_ProtectionSWCOM01_CAN_Protection.o11212582
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240Main_ApplicationApplicationSWC005_WindowSWC002_ExtLightsFunc_data.o417408
241Main_ApplicationApplicationSWC002_ExtLightsFuncSWC002_ExtLightsFunc.o46514302
242Main_ApplicationApplicationSWC001_VehicleStatesSWC001_VehicleStates_data.o4949
243Main_ApplicationApplicationSWC001_VehicleStatesSWC001_VehicleStates.o722460
244Main_ApplicationApplicationSWC001_VehicleStatesSWC001_MDB.o42611778
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" + ], + "text/plain": [ + " Section Sw_Block Sw_Component \\\n", + "144 Main_Application Application SWDIAG01_Diagnostic_Dispatcher \n", + "145 Main_Application Application SWCOM02_LIN_Protection \n", + "146 Main_Application Application SWCOM02_LIN_Protection \n", + "147 Main_Application Application SWCOM01_CAN_Protection \n", + "148 Main_Application Application SWCOM01_CAN_Protection \n", + ".. ... ... ... \n", + "240 Main_Application Application SWC005_Window \n", + "241 Main_Application Application SWC002_ExtLightsFunc \n", + "242 Main_Application Application SWC001_VehicleStates \n", + "243 Main_Application Application SWC001_VehicleStates \n", + "244 Main_Application Application SWC001_VehicleStates \n", + "\n", + " Object RAM_Dec ROM_Dec \n", + "144 SWDIAG01_Diagnostic_Dispatcher.o 13 3765 \n", + "145 SWCOM02_LIN_Protection.o 104 7242 \n", + "146 SWCOM02_Functions.o 337 2736 \n", + "147 SWCOM01_Functions.o 633 4837 \n", + "148 SWCOM01_CAN_Protection.o 112 12582 \n", + ".. ... ... ... \n", + "240 SWC002_ExtLightsFunc_data.o 417 408 \n", + "241 SWC002_ExtLightsFunc.o 465 14302 \n", + "242 SWC001_VehicleStates_data.o 49 49 \n", + "243 SWC001_VehicleStates.o 72 2460 \n", + "244 SWC001_MDB.o 426 11778 \n", + "\n", + "[74 rows x 6 columns]" + ] + }, + "execution_count": 346, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df4.groupby(\"Sw_Block\").get_group(\"Application\")" + ] + }, + { + "cell_type": "code", + "execution_count": 347, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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SectionSw_BlockSw_ComponentObjectRAM_DecROM_Dec
144Main_ApplicationApplicationSWDIAG01_Diagnostic_DispatcherSWDIAG01_Diagnostic_Dispatcher.o133765
145Main_ApplicationApplicationSWCOM02_LIN_ProtectionSWCOM02_LIN_Protection.o1047242
146Main_ApplicationApplicationSWCOM02_LIN_ProtectionSWCOM02_Functions.o3372736
147Main_ApplicationApplicationSWCOM01_CAN_ProtectionSWCOM01_Functions.o6334837
148Main_ApplicationApplicationSWCOM01_CAN_ProtectionSWCOM01_CAN_Protection.o11212582
.....................
240Main_ApplicationApplicationSWC005_WindowSWC002_ExtLightsFunc_data.o417408
241Main_ApplicationApplicationSWC002_ExtLightsFuncSWC002_ExtLightsFunc.o46514302
242Main_ApplicationApplicationSWC001_VehicleStatesSWC001_VehicleStates_data.o4949
243Main_ApplicationApplicationSWC001_VehicleStatesSWC001_VehicleStates.o722460
244Main_ApplicationApplicationSWC001_VehicleStatesSWC001_MDB.o42611778
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74 rows × 6 columns

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" + ], + "text/plain": [ + " Section Sw_Block Sw_Component \\\n", + "144 Main_Application Application SWDIAG01_Diagnostic_Dispatcher \n", + "145 Main_Application Application SWCOM02_LIN_Protection \n", + "146 Main_Application Application SWCOM02_LIN_Protection \n", + "147 Main_Application Application SWCOM01_CAN_Protection \n", + "148 Main_Application Application SWCOM01_CAN_Protection \n", + ".. ... ... ... \n", + "240 Main_Application Application SWC005_Window \n", + "241 Main_Application Application SWC002_ExtLightsFunc \n", + "242 Main_Application Application SWC001_VehicleStates \n", + "243 Main_Application Application SWC001_VehicleStates \n", + "244 Main_Application Application SWC001_VehicleStates \n", + "\n", + " Object RAM_Dec ROM_Dec \n", + "144 SWDIAG01_Diagnostic_Dispatcher.o 13 3765 \n", + "145 SWCOM02_LIN_Protection.o 104 7242 \n", + "146 SWCOM02_Functions.o 337 2736 \n", + "147 SWCOM01_Functions.o 633 4837 \n", + "148 SWCOM01_CAN_Protection.o 112 12582 \n", + ".. ... ... ... \n", + "240 SWC002_ExtLightsFunc_data.o 417 408 \n", + "241 SWC002_ExtLightsFunc.o 465 14302 \n", + "242 SWC001_VehicleStates_data.o 49 49 \n", + "243 SWC001_VehicleStates.o 72 2460 \n", + "244 SWC001_MDB.o 426 11778 \n", + "\n", + "[74 rows x 6 columns]" + ] + }, + "execution_count": 347, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "is_app = df4[\"Sw_Block\"] == \"Application\"\n", + "df4[is_app]" + ] + }, + { + "cell_type": "code", + "execution_count": 310, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Sw_Block\n", + "Communications 303\n", + "Diagnostics 191\n", + "No_Sw_Block 187\n", + "MCAL 112\n", + "Memory 106\n", + "Application 74\n", + "SystemServices 71\n", + "Simlk_Libraries 30\n", + "ComplexDeviceDrivers 26\n", + "IoHwAb 7\n", + "OS 7\n", + "Stub_component 3\n", + "RTE 2\n", + "Bootloader 1\n", + "Overhead 1\n", + "Reserved_FCLCopy 1\n", + "Stack 1\n", + "dtype: int64" + ] + }, + "execution_count": 310, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df4.groupby(\"Sw_Block\").size().sort_values(ascending=False)" + ] + }, + { + "cell_type": "code", + "execution_count": 361, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Sw_Block Sw_Component\n", + "SystemServices rba_BswSrv 0\n", + " Crc 0\n", + " Bfx 0\n", + "Stack Stack 0\n", + "Simlk_Libraries SWC00 0\n", + " ... \n", + "Diagnostics Dcm 4716\n", + "Communications Com 5396\n", + "RTE Rte 6103\n", + "Diagnostics Dem 7927\n", + "Bootloader Bootloader 17132\n", + "Name: RAM_Dec, Length: 76, dtype: int64" + ] + }, + "execution_count": 361, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df4.groupby([\"Sw_Block\", \"Sw_Component\"])[\"RAM_Dec\"].sum().sort_values()" + ] + }, + { + "cell_type": "code", + "execution_count": 362, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Sw_Component\n", + "rba_BswSrv 0\n", + "Stack 0\n", + "Bfx 0\n", + "SWC00 0\n", + "Reserved_FCLCopy 0\n", + " ... \n", + "Dcm 4716\n", + "Com 5396\n", + "Rte 6103\n", + "Dem 7927\n", + "Bootloader 17132\n", + "Name: RAM_Dec, Length: 76, dtype: int64" + ] + }, + "execution_count": 362, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df4.groupby(\"Sw_Component\")[\"RAM_Dec\"].sum().sort_values()" + ] + }, + { + "cell_type": "code", + "execution_count": 394, + "metadata": {}, + "outputs": [], + "source": [ + "df5 = df4.copy()" + ] + }, + { + "cell_type": "code", + "execution_count": 395, + "metadata": {}, + "outputs": [], + "source": [ + "df5.loc[df5[\"Sw_Block\"] == \"Bootloader\", \"Sw_Block\"] = np.nan" + ] + }, + { + "cell_type": "code", + "execution_count": 396, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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SectionSw_BlockSw_ComponentObjectRAM_DecROM_Dec
0Main_ApplicationMemoryNvMrba_MemLib_TimerUs.o02
1Main_ApplicationMemoryNvMrba_MemLib_Random.o0306
2Main_ApplicationMemoryNvMrba_MemLib_Mem.o0792
3Main_ApplicationMemoryNvMrba_MemLib.o00
4Main_ApplicationMemoryFeerba_FeeFs1_Write.o0100
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1118Main_ApplicationNo_Sw_BlockNo_Sw_Componentsqrtf_tiny44
1119Main_ApplicationStackStack_stack00
1120Main_ApplicationReserved_FCLCopyReserved_FCLCopy_reserved_FCLCopy00
1121Main_ApplicationOverheadOverheadOverhead00
1122BootloaderNaNBootloaderBootloader17132209312
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1123 rows × 6 columns

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" + ], + "text/plain": [ + " Section Sw_Block Sw_Component \\\n", + "0 Main_Application Memory NvM \n", + "1 Main_Application Memory NvM \n", + "2 Main_Application Memory NvM \n", + "3 Main_Application Memory NvM \n", + "4 Main_Application Memory Fee \n", + "... ... ... ... \n", + "1118 Main_Application No_Sw_Block No_Sw_Component \n", + "1119 Main_Application Stack Stack \n", + "1120 Main_Application Reserved_FCLCopy Reserved_FCLCopy \n", + "1121 Main_Application Overhead Overhead \n", + "1122 Bootloader NaN Bootloader \n", + "\n", + " Object RAM_Dec ROM_Dec \n", + "0 rba_MemLib_TimerUs.o 0 2 \n", + "1 rba_MemLib_Random.o 0 306 \n", + "2 rba_MemLib_Mem.o 0 792 \n", + "3 rba_MemLib.o 0 0 \n", + "4 rba_FeeFs1_Write.o 0 100 \n", + "... ... ... ... \n", + "1118 sqrtf_tiny 4 4 \n", + "1119 _stack 0 0 \n", + "1120 _reserved_FCLCopy 0 0 \n", + "1121 Overhead 0 0 \n", + "1122 Bootloader 17132 209312 \n", + "\n", + "[1123 rows x 6 columns]" + ] + }, + "execution_count": 396, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df5" + ] + }, + { + "cell_type": "code", + "execution_count": 399, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Sw_Block\n", + "Application 74\n", + "Communications 303\n", + "ComplexDeviceDrivers 26\n", + "Diagnostics 191\n", + "IoHwAb 7\n", + "MCAL 112\n", + "Memory 106\n", + "No_Sw_Block 187\n", + "OS 7\n", + "Overhead 1\n", + "RTE 2\n", + "Reserved_FCLCopy 1\n", + "Simlk_Libraries 30\n", + "Stack 1\n", + "Stub_component 3\n", + "SystemServices 71\n", + "NaN 1\n", + "Name: RAM_Dec, dtype: int64" + ] + }, + "execution_count": 399, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df5.groupby(\"Sw_Block\", dropna=False)[\"RAM_Dec\"].size()" + ] + }, + { + "cell_type": "code", + "execution_count": 404, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Sw_Block\n", + "Communications 303\n", + "Diagnostics 191\n", + "No_Sw_Block 187\n", + "MCAL 112\n", + "Memory 106\n", + "Application 74\n", + "SystemServices 71\n", + "Simlk_Libraries 30\n", + "ComplexDeviceDrivers 26\n", + "OS 7\n", + "IoHwAb 7\n", + "Stub_component 3\n", + "RTE 2\n", + "Stack 1\n", + "Reserved_FCLCopy 1\n", + "Overhead 1\n", + "NaN 1\n", + "Name: count, dtype: int64" + ] + }, + "execution_count": 404, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df5[\"Sw_Block\"].value_counts(dropna=False)" + ] + }, + { + "cell_type": "code", + "execution_count": 402, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "(1123, 6)" + ] + }, + "execution_count": 402, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df5.shape" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Ejemplo bikes" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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DatetimeDateTimestampBerri1BoyerBrébeufCSC (Côte Sainte-Catherine)Maisonneuve_2Maisonneuve_3Notre-Dame...PierDupPont_Jacques_CartierRachel / Hôtel de VilleRachel / PapineauRené-LévesqueSaint-AntoineSaint-UrbainTotem_LaurierUniversityViger
02016-01-0101/01/201600:00320270.051.0161...113NaN9312638681411
12016-01-0202/01/201600:0068060.093.0252...69NaN1411611671063014
22016-01-0303/01/201600:0078340.0118.0380...16NaN11625102159255
32016-01-0404/01/201600:001186602.0165.0800...03NaN20249949911129
42016-01-0505/01/201600:001832252.0239.0862...53NaN24177121110615844
..................................................................
3612016-12-2727/12/201600:0013742130.0NaN5726...80NaN205591251364011
3622016-12-2828/12/201600:0018155170.0NaN9144...40NaN2888524161717619
3632016-12-2929/12/201600:0012033535.0NaN4618...80NaN203531362083814
3642016-12-3030/12/201600:0012059132.0NaN5329...310NaN7255150218683
3652016-12-3131/12/201600:0052262135.0NaN2311...60NaN12216417102163
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1162016-04-2602948NaN
1172016-04-2712392874NaN
1182016-04-2823083164NaN
1192016-04-2924843264NaN
1202016-04-3034903524NaN
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1222016-05-0214962150NaN
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1252016-05-0537254822NaN
1262016-05-0641785379NaN
1272016-05-0743824629NaN
1282016-05-089971036NaN
1292016-05-0925583519NaN
1302016-05-1041015220NaN
1312016-05-1145145841NaN
1322016-05-1251846483NaN
1332016-05-1324853197NaN
1342016-05-1432383340NaN
1352016-05-1512631314NaN
1362016-05-1616162364NaN
1372016-05-1728893957NaN
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" + ], + "text/plain": [ + " Datetime Boyer Brébeuf CSC (Côte Sainte-Catherine)\n", + "116 2016-04-26 0 2948 NaN\n", + "117 2016-04-27 1239 2874 NaN\n", + "118 2016-04-28 2308 3164 NaN\n", + "119 2016-04-29 2484 3264 NaN\n", + "120 2016-04-30 3490 3524 NaN\n", + "121 2016-05-01 1082 1101 NaN\n", + "122 2016-05-02 1496 2150 NaN\n", + "123 2016-05-03 3529 4482 NaN\n", + "124 2016-05-04 2660 3724 NaN\n", + "125 2016-05-05 3725 4822 NaN\n", + "126 2016-05-06 4178 5379 NaN\n", + "127 2016-05-07 4382 4629 NaN\n", + "128 2016-05-08 997 1036 NaN\n", + "129 2016-05-09 2558 3519 NaN\n", + "130 2016-05-10 4101 5220 NaN\n", + "131 2016-05-11 4514 5841 NaN\n", + "132 2016-05-12 5184 6483 NaN\n", + "133 2016-05-13 2485 3197 NaN\n", + "134 2016-05-14 3238 3340 NaN\n", + "135 2016-05-15 1263 1314 NaN\n", + "136 2016-05-16 1616 2364 NaN\n", + "137 2016-05-17 2889 3957 NaN" + ] + }, + "execution_count": 111, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "mask = df[\"CSC (Côte Sainte-Catherine)\"].isna()\n", + "df.loc[mask, [\"Datetime\", \"Boyer\", \"Brébeuf\",\"CSC (Côte Sainte-Catherine)\"]]" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Trabajando con texto y fechas\n", + "\n", + "Los objetos de tipo Series y los de tipo Index contienen métodos para procesar de forma vectorial datos de tipo `str`. La mayoría tiene la misma funcionalidad que en el caso de las cadenas de caracteres de Python pero realizan la operación de forma vectorizada para todos los elementos de la serie.\n", + "\n", + "Referencia: http://pandas.pydata.org/pandas-docs/stable/text.html#text-string-methods \n", + "Lista completa: http://pandas.pydata.org/pandas-docs/stable/text.html#method-summary\n", + "\n", + "Pandas también proporciona mucha funcionalidad para trabajar con fechas, crear rangos, modificar la frecuencia, etc.\n", + "\n", + "Referencia: http://pandas.pydata.org/pandas-docs/stable/timeseries.html#time-date-components \n", + "Lista de componentes de una fecha: http://pandas.pydata.org/pandas-docs/stable/timeseries.html#time-date-components" + ] + }, + { + "cell_type": "code", + "execution_count": 83, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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42012-01-01 04:00:00-1.5-3.38874.8101.23Fog
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32012-01-01 03:00:00-1.5-3.28864.0101.27Freezing Drizzle,Fog
42012-01-01 04:00:00-1.5-3.38874.8101.23Fog
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87792012-12-31 19:00:000.1-2.781309.7100.13Snow
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Date/TimeTemp (C)Dew Point Temp (C)Rel Hum (%)Wind Spd (km/h)Visibility (km)Stn Press (kPa)Weather
02012-01-01 00:00:00-1.8-3.98648.0101.24Fog
12012-01-01 01:00:00-1.8-3.78748.0101.24Fog
22012-01-01 02:00:00-1.8-3.48974.0101.26Freezing Drizzle,Fog
32012-01-01 03:00:00-1.5-3.28864.0101.27Freezing Drizzle,Fog
42012-01-01 04:00:00-1.5-3.38874.8101.23Fog
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" + ], + "text/plain": [ + " Date/Time Temp (C) Dew Point Temp (C) Rel Hum (%) \\\n", + "0 2012-01-01 00:00:00 -1.8 -3.9 86 \n", + "1 2012-01-01 01:00:00 -1.8 -3.7 87 \n", + "2 2012-01-01 02:00:00 -1.8 -3.4 89 \n", + "3 2012-01-01 03:00:00 -1.5 -3.2 88 \n", + "4 2012-01-01 04:00:00 -1.5 -3.3 88 \n", + "\n", + " Wind Spd (km/h) Visibility (km) Stn Press (kPa) Weather \n", + "0 4 8.0 101.24 Fog \n", + "1 4 8.0 101.24 Fog \n", + "2 7 4.0 101.26 Freezing Drizzle,Fog \n", + "3 6 4.0 101.27 Freezing Drizzle,Fog \n", + "4 7 4.8 101.23 Fog " + ] + }, + "execution_count": 49, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "weather.head()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "weather.set_index('Date/Time')" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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Date/TimeTemp (C)Dew Point Temp (C)Rel Hum (%)Wind Spd (km/h)Visibility (km)Stn Press (kPa)Weather
02012-01-01 00:00:00-1.8-3.98648.0101.24Fog
12012-01-01 01:00:00-1.8-3.78748.0101.24Fog
22012-01-01 02:00:00-1.8-3.48974.0101.26Freezing Drizzle,Fog
32012-01-01 03:00:00-1.5-3.28864.0101.27Freezing Drizzle,Fog
42012-01-01 04:00:00-1.5-3.38874.8101.23Fog
...........................
87792012-12-31 19:00:000.1-2.781309.7100.13Snow
87802012-12-31 20:00:000.2-2.483249.7100.03Snow
87812012-12-31 21:00:00-0.5-1.593284.899.95Snow
87822012-12-31 22:00:00-0.2-1.889289.799.91Snow
87832012-12-31 23:00:000.0-2.1863011.399.89Snow
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8784 rows × 8 columns

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Temp (C)Dew Point Temp (C)Rel Hum (%)Wind Spd (km/h)Visibility (km)Stn Press (kPa)Weather
Date/Time
2012-01-01 00:00:00-1.8-3.98648.0101.24Fog
2012-01-01 01:00:00-1.8-3.78748.0101.24Fog
2012-01-01 02:00:00-1.8-3.48974.0101.26Freezing Drizzle,Fog
2012-01-01 03:00:00-1.5-3.28864.0101.27Freezing Drizzle,Fog
2012-01-01 04:00:00-1.5-3.38874.8101.23Fog
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" + ], + "text/plain": [ + " Temp (C) Dew Point Temp (C) Rel Hum (%) \\\n", + "Date/Time \n", + "2012-01-01 00:00:00 -1.8 -3.9 86 \n", + "2012-01-01 01:00:00 -1.8 -3.7 87 \n", + "2012-01-01 02:00:00 -1.8 -3.4 89 \n", + "2012-01-01 03:00:00 -1.5 -3.2 88 \n", + "2012-01-01 04:00:00 -1.5 -3.3 88 \n", + "\n", + " Wind Spd (km/h) Visibility (km) Stn Press (kPa) \\\n", + "Date/Time \n", + "2012-01-01 00:00:00 4 8.0 101.24 \n", + "2012-01-01 01:00:00 4 8.0 101.24 \n", + "2012-01-01 02:00:00 7 4.0 101.26 \n", + "2012-01-01 03:00:00 6 4.0 101.27 \n", + "2012-01-01 04:00:00 7 4.8 101.23 \n", + "\n", + " Weather \n", + "Date/Time \n", + "2012-01-01 00:00:00 Fog \n", + "2012-01-01 01:00:00 Fog \n", + "2012-01-01 02:00:00 Freezing Drizzle,Fog \n", + "2012-01-01 03:00:00 Freezing Drizzle,Fog \n", + "2012-01-01 04:00:00 Fog " + ] + }, + "execution_count": 52, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "weather.head()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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WeatherTemp_rangeHum_maxVis_min
0Clear56.19911.3
1Cloudy51.99911.3
2Drizzle17.7966.4
3Drizzle,Fog19.91001.0
4Drizzle,Ice Pellets,Fog0.0924.0
5Drizzle,Snow0.3959.7
6Drizzle,Snow,Fog0.8982.4
7Fog36.81000.2
8Freezing Drizzle6.7934.8
9Freezing Drizzle,Fog6.1943.6
10Freezing Drizzle,Haze0.8832.0
11Freezing Drizzle,Snow5.0942.4
12Freezing Fog18.9990.2
13Freezing Rain6.8922.8
14Freezing Rain,Fog6.2932.8
15Freezing Rain,Haze0.0832.0
16Freezing Rain,Ice Pellets,Fog0.0928.0
17Freezing Rain,Snow Grains0.0844.8
18Haze25.6864.8
19Mainly Clear55.89912.9
20Moderate Rain,Fog0.0946.4
21Moderate Snow1.4930.6
22Moderate Snow,Blowing Snow0.1930.6
23Mostly Cloudy55.610011.3
24Rain22.5994.0
25Rain Showers24.8976.4
26Rain Showers,Fog0.0966.4
27Rain Showers,Snow Showers0.17819.3
28Rain,Fog21.71002.0
29Rain,Haze1.5864.0
30Rain,Ice Pellets0.0929.7
31Rain,Snow1.1942.4
32Rain,Snow Grains0.07525.0
33Rain,Snow,Fog0.0966.4
34Rain,Snow,Ice Pellets0.4944.8
35Snow20.4961.0
36Snow Pellets0.0592.4
37Snow Showers16.2942.4
38Snow Showers,Fog1.3924.0
39Snow,Blowing Snow10.6910.6
40Snow,Fog11.2991.2
41Snow,Haze0.7814.0
42Snow,Ice Pellets5.1922.8
43Thunderstorms5.18724.1
44Thunderstorms,Heavy Rain Showers0.0882.4
45Thunderstorms,Moderate Rain Showers,Fog0.0933.2
46Thunderstorms,Rain1.99316.1
47Thunderstorms,Rain Showers14.5986.4
48Thunderstorms,Rain Showers,Fog3.4919.7
49Thunderstorms,Rain,Fog0.0884.8
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" + ], + "text/plain": [ + " Weather Temp_range Hum_max Vis_min\n", + "0 Clear 56.1 99 11.3\n", + "1 Cloudy 51.9 99 11.3\n", + "2 Drizzle 17.7 96 6.4\n", + "3 Drizzle,Fog 19.9 100 1.0\n", + "4 Drizzle,Ice Pellets,Fog 0.0 92 4.0\n", + "5 Drizzle,Snow 0.3 95 9.7\n", + "6 Drizzle,Snow,Fog 0.8 98 2.4\n", + "7 Fog 36.8 100 0.2\n", + "8 Freezing Drizzle 6.7 93 4.8\n", + "9 Freezing Drizzle,Fog 6.1 94 3.6\n", + "10 Freezing Drizzle,Haze 0.8 83 2.0\n", + "11 Freezing Drizzle,Snow 5.0 94 2.4\n", + "12 Freezing Fog 18.9 99 0.2\n", + "13 Freezing Rain 6.8 92 2.8\n", + "14 Freezing Rain,Fog 6.2 93 2.8\n", + "15 Freezing Rain,Haze 0.0 83 2.0\n", + "16 Freezing Rain,Ice Pellets,Fog 0.0 92 8.0\n", + "17 Freezing Rain,Snow Grains 0.0 84 4.8\n", + "18 Haze 25.6 86 4.8\n", + "19 Mainly Clear 55.8 99 12.9\n", + "20 Moderate Rain,Fog 0.0 94 6.4\n", + "21 Moderate Snow 1.4 93 0.6\n", + "22 Moderate Snow,Blowing Snow 0.1 93 0.6\n", + "23 Mostly Cloudy 55.6 100 11.3\n", + "24 Rain 22.5 99 4.0\n", + "25 Rain Showers 24.8 97 6.4\n", + "26 Rain Showers,Fog 0.0 96 6.4\n", + "27 Rain Showers,Snow Showers 0.1 78 19.3\n", + "28 Rain,Fog 21.7 100 2.0\n", + "29 Rain,Haze 1.5 86 4.0\n", + "30 Rain,Ice Pellets 0.0 92 9.7\n", + "31 Rain,Snow 1.1 94 2.4\n", + "32 Rain,Snow Grains 0.0 75 25.0\n", + "33 Rain,Snow,Fog 0.0 96 6.4\n", + "34 Rain,Snow,Ice Pellets 0.4 94 4.8\n", + "35 Snow 20.4 96 1.0\n", + "36 Snow Pellets 0.0 59 2.4\n", + "37 Snow Showers 16.2 94 2.4\n", + "38 Snow Showers,Fog 1.3 92 4.0\n", + "39 Snow,Blowing Snow 10.6 91 0.6\n", + "40 Snow,Fog 11.2 99 1.2\n", + "41 Snow,Haze 0.7 81 4.0\n", + "42 Snow,Ice Pellets 5.1 92 2.8\n", + "43 Thunderstorms 5.1 87 24.1\n", + "44 Thunderstorms,Heavy Rain Showers 0.0 88 2.4\n", + "45 Thunderstorms,Moderate Rain Showers,Fog 0.0 93 3.2\n", + "46 Thunderstorms,Rain 1.9 93 16.1\n", + "47 Thunderstorms,Rain Showers 14.5 98 6.4\n", + "48 Thunderstorms,Rain Showers,Fog 3.4 91 9.7\n", + "49 Thunderstorms,Rain,Fog 0.0 88 4.8" + ] + }, + "execution_count": 187, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "import numpy as np\n", + "\n", + "ops = {\n", + " \"Temp (C)\": lambda s: s.max() - s.min(), \n", + " \"Rel Hum (%)\": \"max\", \n", + " \"Visibility (km)\": \"min\"\n", + "}\n", + "\n", + "new_name = {\n", + " \"Temp (C)\": \"Temp_range\", \n", + " \"Rel Hum (%)\": \"Hum_max\", \n", + " \"Visibility (km)\": \"Vis_min\"\n", + "}\n", + "\n", + "weather.groupby(\"Weather\", as_index=False).agg(ops).rename(columns=new_name)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Weather\n", + "False 10.9\n", + "True -4.4\n", + "Name: Temp (C), dtype: float64" + ] + }, + "execution_count": 191, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "weather.groupby(nieve)[\"Temp (C)\"].median()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "df3 = weather.groupby([\"Weather\", weather[\"Date/Time\"].dt.month])[\"Temp (C)\"].mean().reset_index()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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WeatherDate/TimeTemp (C)
0Clear1-13.332468
1Clear2-6.491096
2Clear35.042581
3Clear43.716129
4Clear514.710092
............
186Thunderstorms,Rain Showers821.633333
187Thunderstorms,Rain Showers919.200000
188Thunderstorms,Rain Showers,Fog619.500000
189Thunderstorms,Rain Showers,Fog722.650000
190Thunderstorms,Rain,Fog720.600000
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191 rows × 3 columns

\n", + "
" + ], + "text/plain": [ + " Weather Date/Time Temp (C)\n", + "0 Clear 1 -13.332468\n", + "1 Clear 2 -6.491096\n", + "2 Clear 3 5.042581\n", + "3 Clear 4 3.716129\n", + "4 Clear 5 14.710092\n", + ".. ... ... ...\n", + "186 Thunderstorms,Rain Showers 8 21.633333\n", + "187 Thunderstorms,Rain Showers 9 19.200000\n", + "188 Thunderstorms,Rain Showers,Fog 6 19.500000\n", + "189 Thunderstorms,Rain Showers,Fog 7 22.650000\n", + "190 Thunderstorms,Rain,Fog 7 20.600000\n", + "\n", + "[191 rows x 3 columns]" + ] + }, + "execution_count": 204, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df3" + ] + }, + { + "cell_type": "code", + "execution_count": 88, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "(8784,)" + ] + }, + "execution_count": 88, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "weather[\"Date/Time\"].shape" + ] + }, + { + "cell_type": "code", + "execution_count": 91, + "metadata": {}, + "outputs": [], + "source": [ + "weather = weather.drop(columns=\"Weather\")" + ] + }, + { + "cell_type": "code", + "execution_count": 102, + "metadata": {}, + "outputs": [], + "source": [ + "wmes = weather.set_index(\"Date/Time\").resample('1ME').mean()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Ejercicio titanic" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "##### Visualización\n", + "\n", + "Los objetos de tipo `DataFrame` tiene un método `.plot()` que hace muy sencillo representar gráficamente sus contenidos. Por defecto hace una gráfica con todas las columnas que tienen etiqueta del `DataFrame`.\n", + "\n", + "Más información: https://pandas.pydata.org/pandas-docs/stable/visualization.html" + ] + }, + { + "cell_type": "code", + "execution_count": 103, + "metadata": {}, + "outputs": [], + "source": [ + "tmp = wmes[\"Temp (C)\"]" + ] + }, + { + "cell_type": "code", + "execution_count": 104, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Date/Time\n", + "2012-01-31 -7.371505\n", + "2012-02-29 -4.225000\n", + "2012-03-31 3.121237\n", + "2012-04-30 7.009306\n", + "2012-05-31 16.237769\n", + "2012-06-30 20.134028\n", + "2012-07-31 22.790054\n", + "2012-08-31 22.279301\n", + "2012-09-30 16.484444\n", + "2012-10-31 10.954973\n", + "2012-11-30 0.931389\n", + "2012-12-31 -3.306317\n", + "Freq: ME, Name: Temp (C), dtype: float64" + ] + }, + "execution_count": 104, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "tmp" + ] + }, + { + "cell_type": "code", + "execution_count": 122, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 122, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", 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\n", 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\n", 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "a = pd.Series([1, 5, 3, 2], index=[\"a\", \"b\", \"c\", \"d\"])\n", + "\n", + "a.plot(kind=\"bar\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 54, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "import matplotlib.pyplot as plt\n", + "\n", + "%matplotlib inline\n", + "\n", + "tmp.plot(kind='bar')" + ] + }, + { + "cell_type": "code", + "execution_count": 141, + "metadata": {}, + "outputs": [], + "source": [ + "bikes = bikes.drop(columns=\"Timestamp\")" + ] + }, + { + "cell_type": "code", + "execution_count": 147, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 147, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "bikes.resample(\"1ME\").mean().plot(y=[\"Berri1\", \"Boyer\"], kind=\"bar\")" + ] + }, + { + "cell_type": "code", + "execution_count": 217, + "metadata": {}, + "outputs": [], + "source": [ + "import datetime as dt" + ] + }, + { + "cell_type": "code", + "execution_count": 251, + "metadata": {}, + "outputs": [], + "source": [ + "xt = pd.Series(pd.date_range(\"2016-01-01\", \"2016-12-31\", freq=\"2ME\")).to_numpy()" + ] + }, + { + "cell_type": "code", + "execution_count": 252, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "array(['2016-01-31T00:00:00.000000000', '2016-03-31T00:00:00.000000000',\n", + " '2016-05-31T00:00:00.000000000', '2016-07-31T00:00:00.000000000',\n", + " '2016-09-30T00:00:00.000000000', '2016-11-30T00:00:00.000000000'],\n", + " dtype='datetime64[ns]')" + ] + }, + "execution_count": 252, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "xt" + ] + }, + { + "cell_type": "code", + "execution_count": 255, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 255, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "bikes.plot(\n", + " y=\"Berri1\", \n", + " figsize=(20, 5), \n", + " title=\"Estación Berri1\", \n", + " legend=False, \n", + " xlabel=\"Fecha\", \n", + " ylabel=\"Nº personas\"\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 172, + "metadata": {}, + "outputs": [], + "source": [ + "df = pd.concat((wmes[\"Temp (C)\"].reset_index(drop=True), bikes.resample(\"1ME\")[\"Berri1\"].mean().reset_index(drop=True)), axis=1)" + ] + }, + { + "cell_type": "code", + "execution_count": 182, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "array([,\n", + " ], dtype=object)" + ] + }, + "execution_count": 182, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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Temp (C)Berri1
0-7.371505270.321429
1-4.225000290.758621
23.121237557.870968
37.0093062091.966667
416.2377694387.129032
520.1340284865.733333
622.7900545053.967742
722.2793014727.677419
816.4844444843.200000
910.9549733105.967742
100.9313891754.566667
11-3.306317393.064516
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" + ], + "text/plain": [ + " Temp (C) Berri1\n", + "0 -7.371505 270.321429\n", + "1 -4.225000 290.758621\n", + "2 3.121237 557.870968\n", + "3 7.009306 2091.966667\n", + "4 16.237769 4387.129032\n", + "5 20.134028 4865.733333\n", + "6 22.790054 5053.967742\n", + "7 22.279301 4727.677419\n", + "8 16.484444 4843.200000\n", + "9 10.954973 3105.967742\n", + "10 0.931389 1754.566667\n", + "11 -3.306317 393.064516" + ] + }, + "execution_count": 207, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df" + ] + }, + { + "cell_type": "code", + "execution_count": 197, + "metadata": {}, + "outputs": [], + "source": [ + "import random\n", + "\n", + "tipo = random.choices([\"Sunny\", \"Cloudy\", \"Snow\", \"Rain\"], k=weather.shape[0])" + ] + }, + { + "cell_type": "code", + "execution_count": 225, + "metadata": { + "scrolled": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 225, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "w = weather\n", + "w[\"tipo\"] = tipo\n", + "\n", + "w.plot.scatter(x=\"Dew Point Temp (C)\", y=\"Temp (C)\", c=w[\"tipo\"].map({\"Sunny\": 0, \"Cloudy\": 1, \"Snow\": 2, \"Rain\": 3}))" + ] + }, + { + "cell_type": "code", + "execution_count": 166, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Date\n", + "2016-01-31 270.321429\n", + "2016-02-29 290.758621\n", + "2016-03-31 557.870968\n", + "2016-04-30 2091.966667\n", + "2016-05-31 4387.129032\n", + "2016-06-30 4865.733333\n", + "2016-07-31 5053.967742\n", + "2016-08-31 4727.677419\n", + "2016-09-30 4843.200000\n", + "2016-10-31 3105.967742\n", + "2016-11-30 1754.566667\n", + "2016-12-31 393.064516\n", + "Freq: ME, Name: Berri1, dtype: float64" + ] + }, + "execution_count": 166, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "bikes.resample(\"1ME\")[\"Berri1\"].mean()" + ] + }, + { + "cell_type": "code", + "execution_count": 156, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 156, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "bikes.sum().sort_values(ascending=False).plot(kind=\"barh\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 234, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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", 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tAzAyJrFkOId0S6I9nv4nQohngc8AA5gN/BP4X+ApIcRN9rZ/2Yf8C/i3EOJrlMI/227nCyHE08ACu53/I6XcrNWS21Lk2wL+0spAoCSylJKxY8dy6623AtCUa6K6rrpoO0IILMuiqqqqqGqPRCJYljP9XZLN7li2wPaElNBcl0FqOWLbOh+slUBua3HlxvVp337BDJiG2jTpxhxd9i13tznE2bhhy4mA2hVNlFbFiJdEC/o8bfIiAB/pq+2aLjDdJ6rClE1nUHDuhWZPzgJvcXRpSZrqMuzXtxPfzV1LXU2KPQ7wypN8P9+zfnIh6W9xtCuiKKW8QUrZS0rZV0p5vp2B862UcqiU8gdSyp9JKTP2vmn7/Q/sz7/1tXOzlPJAKeXBUsrXt9ZFbUv4SyvnY+TIkTz77LOsWbMGgNraWlYsVY6WZVmuR//EE09wxBFHUFFRwf77788zzzwDqB/V3LlzAejRowezZqlH3pdeesktxxwCt6Kjg21pBriKVojClE0fOebDUfoA9WtTgc+mP/s1r947N3CcmVOvm+u2zGBvmhZP3vgJrz/Q+spzOVv5ux697t1dl9xFMJCrlL69QQvaOwDpphyWKdnzwCoQUFcTvP6VX9d5589sli4MUQThELoJaKm0cj569+7NTTfdxKhRo7AsCz2iM+GWCcjektLSUr744gsOO+wwKisr3SDs448/zq9+9StuuukmcrkcZ599NgMGDODiiy/m1FNPZejQoYwcOTJcZMUHy8yX1O2zd4yciR7RCvLMNwaOdy00UXBat0RDkSCon/RrljRS2aXE976e5vosjesz7iLjpqHIz7vWzcP6lc0ArFvW+voNzXUZ1Tf7OgOkb5O7EHDcf/Um1ZBl4cerbK/fGwxVbR6v70116torOidIlsdoynt6Wf2dZ3mFpL/lEZL+JqCl0srFSiKPGTPG9e4bs418X/+9et3YCMBf/vKXwP77778/b7zxRkHb3bp14+OPvYxXxzLyt7W7wiETl47awYtG1qR2ZRPxkigVnRPtJn4ja9Jcn6W8U8L2rxXrCa1Q0Tvvi83UbVyfRtMFlind+vSgctzr1yrrZ/V39R7p57ZsnGLt0gYAOu7VunhoqstS2aXEp/Q9c0DNyFWe/sHD1LoRX32yyt0OoGneQOGS/gb1tFJaFSdREiHT7D21GjmTdcsa6bpfOWu+bwhJfysgrL0TYqeHkyq5MdMfsmlFJpnmHEa2/cRSvzZNuinn1od3lK4QosUyDEXtndoMlV1UFo7lS2Vct9wbwNd87ylefxkDP0mCSv2cP3V5u68BoMYm/YpOCe8cRe6Do8JdT1/Ls3fyPH1NE8FS00K4pG/aNpyj9EsqY3Yw1xv01i5txLIkex+s0qBD0t/yCEk/xE4PV+lvhNT3k0km2/66MDKvbTUjVdhetq8kg1X8tYPG9WkquypLx5/VsnaZIv3Syhg1Sxrc7f4UyvzSBW8/tIAPnviq3dcAilwhWDoiVWSilBNDKOrpy8IgNEIElL4QwvX0nYVWnIGktCJOvDQaGMQ2rFG2U7f9K4CQ9LcGQtIPsdPDDeS20wGRUpLL5KiI1hARGbIbofQdODQXUPr+iVq+4HIxpe9YRBCctFS3NkUkprHHgZUBr9vMeX30xwM2FU7w2L/iVbHZsY4q92fvOLAsJ0/f21/TvKweUE9fnr3jKP0sibIoelQjURIJTATL2umaZR3UvQlJf8sjJP1tCEcl5qvFEJsHuZHBTWlJNCtNgno6RpaB4ZFOLmMW2CettmV72kIQmMHkD7jm2z5Sqs/jdiqin/QtUyoyLIsFlLeZtxxhMeRnMbUGx97y9zPVWJgZ5Cp9JwWzBU/fgUo9ptVAbqo+6+blx0ujZJqCMQ2A0kpVUiQk/S2PkPRD7PQwNzJ7R0rQfSs9aZaXMrh+VVNBCmHwYPtf4b0XAmVrtJCzX5i9o95HYhpCEwHrRpoSTRMky6JkmnLusf41ZrOp4qTv98Zbg3rSUddv+gaK1pQ+RZS+8u5lQZ4+0h/IFegRx9NX2yzTctuJl0TIZUy3H5mUqQa9UjUg5jLtu6YQ7UdI+js5Jk+ezCeffLK9u7Fd4dXcad/+Uko04ZG+KLKqeaY5F8iqaa0t8PLTve2F+3gb1D96REOPCN+gpa5FaIJEaRQpvdmp/oEh0wLpt1THx59C6bTlvPcHkYutY+tYL8416Pl5+rKw4JpTiE1tKLR3pPQCwolSNTHMUfvZlEEsGUGPaggBxkbEW0K0DyHpbwJWrVrF2WefzYEHHkjv3r056aSTWLRoEZZlcfnll9O3b1/69evHkCFD+O677wCVVnnFpVdwwpATGH7ocI488siiZC2l5Nhjj6W+vr7VcwG88cYbLF++nIceeohly5YBUF1dzRNPPLHR13TzzTfTp08f+vfvz8CBA9scSK6//nreeeedVveZMmVKq2WnLSmpSxWqy1wux9VXX03Pnj3p27cvQ4cO5fXXW57LJy3JA/+6j+ZUs7Ol1dLVUoKGR5yiyMTwaR98xGW/vrzFNgIDjBBe+qaNk35yAhvq1hfN6nH2ikQ19Ehw0XDLUko/UabI0FHfzj5CE2R99o7/nM0tkP6s17/nvkvfd2fEOtYOtG5DqW3OBDP1Pqj0VaJ+fiAX2bq945/QFbcVvWOpZVMG8WRE1eGP6+TSob2zpRHm6W8kpJScfvrpjB07lqeeegqAOXPmsHr1ambNmsWKFSuYN28emqaxbNkydxLVuHHj2GufvXjtk9fYp3IfapfX8uWXXxa0/9prrzFgwAAqKipaPddBBx3ECSecwAknnBA43iH9c889t93X9NFHH/Hqq6/y2WefEY/HWbt2bZtlHm688cY2250yZQplZWX88Ic/LPr5yro06xozHNiljNK496d43XXXsXLlSubPn088Hmf16tVu6WpFNEF1KaXkwYfuZ+yZo6BUtD0jV4ImTCwEGhKRx3aGYXBo/0EMPqywxk2BaJegCZvDfJ+de865PPzvSfz+ij8UZu84BBopJH1pSTRduArYUdqmYYGARFmUjO8JxK+EW1L6s95Uc0MyTQaRKj3gk/tjBU4/I1HNtZOch6DiefpeINuBpoHZUiDXcNqUaHYziRLnOn1KP6EmOkbjemjvbAWESn8j8f777xONRrnkkkvcbQMHDuRHP/oRK1euZM8990Sz/6K7d+9Ohw4d+Oabb/jkk0+47s/Xqc8kHHDAAZx88skF7T/++OOceuqpbZ5LSsmECRPcpwpnRu/VV1/NtGnTGDhwIHfeeSemaTJhwgSGDBlC//79eeCBBwrOuXLlSjp37uzW4+/cuTN77bUXoMh9yJAh9O3bl/Hjx7s/fn+p5x49enDDDTcwaNAg+vXrx8KFC6muruYf//gHd955JwMHDmTatGnU1NTw05/+lCFDhjBkyBCmf/ghEEwbbG5u5sEHH+See+5x+9OtWzfOOussAC6+8JccOnAQffr04YYbbrAJ/x+sWrOSE886h2POHO+29cc//pEBAwYwfPhwVq9eDUBNTQ1njfkZPzr5NIae9HM+nDEHDYsbbriB8ePHc9b5p/Hr3/2SD/8zjTHn/RSAiRMncuGFF3L00UczeEQ/Hnz4Hy6/P/3cUxx7wpEcftRQfn/15RiGIqmTTzqFF15+zs5bL+7p6xENLSKwcsFAriii9I2cRSSiEU9GAkrfT+Cp+uIBaMPeJ22raT+RBrKMbNKP2gHmaFz3Kf1iKZuyYI3c4oHcoKfvD/7GXXtH9S1j2zvO+XOhvbPFsVMr/VW33ELmyy1bWjl+SC/2uPbaFj+fP38+hx12WNHPzjrrLI444gimTZvGyJEj+fnPf86hhx7KF198wcCBA4uWasjH9OnTXWJu7VzPP/88c+bMYe7cuaxdu5YhQ4Zw5JFH8te//pU77riDV199FYB//vOfVFZWMnPmTDKZDCNGjGDUqFFuJVCAUaNGceONN3LQQQdx3HHHMWbMGI466igAfv3rX3P99dcDcP755/Pqq69yyimnFPSnc+fOfPbZZ9x3333ccccdTJo0iUsuuYSysjKuvPJKAM4991x++9vfcsQRR7BkyRKOPe7HPP/eJwFl/vXXX7PvvvtSUVERaN/MWTSsTzPhN9fSoaojHfcu4bjjjmPu3Hlc/F+X8MCkv/Pa5CfYr4sacJuamhg+fDg333wzV111FQ8++CB/+tOfuOKKK7j8sss5oldXvlmxmtPPvYhZ7x2FlDBr1iyef+I1kokkH82YHjj/woULef/996n+aiWHHzWI3155OV9/s4gXX3qOZ599ExmNcNMff8/jjz3O2AvG0qGqA9lshvUb1lFZEVyQxBkD9JaUvuYp/ZTP3tGjGrFkJBDI9ccdWrJ33H3twcKxdyJRLRBPcIg9ltBJ1UMsGXHVv/Mw9HF1Ld3tb0w6KZsRMC2JromCQK7wlVb27B2vHLMTsE377J2yKjXYK6Uf2jtbGjs16e9o6N69O1999RXvvfce7733HiNHjnSLp7UXtbW1lJeXt7nfhx9+yDnnnIOu63Tr1o2jjjqKmTNnFpDlW2+9xbx581xVXldXx+LFiwOkX1ZWxqxZs5g2bRrvv/8+Y8aM4a9//SsXXHAB77//PrfddhvNzc3U1tbSp0+foqR/xhlnAHDYYYfx/PPPF+3zO++8w4IFC9z3jQ0NNDU2QJe2l45s3JAhmzJ4+dUX+PeTj4AmWblyJQsWfMFeI9S1+AePWCzGT37yE7dPb7/9ttuHL+Z/gTAzmAjqGxppbKpHSsno0aNJJpxa9UF1fvLJJxOPx+nUsROdO3Vh9erVvPvuu8z5fDanjD4GC0kunWbPvfZQgVIknTt1YdWaVVSUdSh6TZ6nXxjITeZ7+jkLPaIRT+qBQK7f825rQRYn1dMh0kRZNBDIdYg9llC04GTWqA9VH9OGBU4Ba3ty1hcr67ni2teo/uvJBYFcoYkigVzpy94pHsiF0N7ZWtipSb81Rb610KdPn8AKVvmIx+OceOKJnHjiiXTr1o0XX3yR3/zmN8ydO9crjdxKmolTQlnTtFbPVWzCT0v73XPPPRx//PGt7qfruls7qF+/fjz66KOcffbZXHrppXz66afss88+TJw4kXS6+ELWjhWj67prceTDsiw++ugjkklFrF+vaaQ5a3DaT05ibc0aBg8ezN13382SJUtoaGgIDH5CwPdLq7nvwXt48+X3+UGffbjwogtJp9IktHoQEj9RR6NRV036+2RZFlPem0ZV5hvWySrKRRNSxkBCSYlX9Cz/9rpLUUrQdB3DyCGl5Oyfncsfr/o9WTSiljq+bm2KZHmUTCZNSUmJb4Up4bYBxZW+ZSpCjCZ0NE14nn7OUfrRwOQsPymuWLyBZl8OPATTRZ1gqTNQxEui5LImSxasY68fVLmq3vHUYwnvqcK5H5ZvZLXsKpvrmrJgj9vCLcPQeiBX2OrfIXjniSWTNgOk39401HRjjub6bJu1hEKEnv5G49hjjyWTyfDggw+622bOnMkHH3zAZ599xooVXunkefPmsd9++3HggQcyePBgbr7xZpesFy9ezEsvvVTQ/sEHH8y3337b5rmOPPJIJk+ejGma1NTUMHXqVIYOHUp5eTkNDd70/eOPP57777/fLcW8aNEimpqClRW/+uorFi9e7L6fM2cO++23n0vwnTt3prGxsdXBrhjy+zJq1Cjuvfde9/0X81XZ6JdffY05c+YwadIkSkpKuOiii7j88svdYPLKlSuZ/OxTNDY0UJIspaK8klWrVvP6668jgQq9hsqyOI2NrVeMdPpw/z/uRQjIoTP7i68QFEtbKX68fybAyJEjefnVl8jWLqZK28D6DbUsXbZEfS4la2rW0KNHD/t9YRt6VLRo7wihfP20PWHKNCwiUVvpN/vtHUXgw0bvT0Ntmk9frw7012/5pF2lr/5NlEaor0nxyt1zmfbMYs/Tt5W+394xbJVuBhYQUIo+mMiUV4ZB89I8TcMLDjspm844aFkSy7QCi6ZEY4X2Ti5rFq1a+ukb1bx679yC7SEKEZL+RkIIwQsvvMDbb7/NgQceSJ8+fZg4cSJ77bUXa9as4ZRTTqFv377079+fSCTCr3/9awAmTZrEmuM4V7IAACAASURBVNVrOHHoiYwYPIKLL77YDZb6cfLJJzNlypQ2z3X66afTv39/BgwYwLHHHsttt93GHnvs4Z53wIAB3HnnnYwbN47evXszaNAg+vbtyy9/+csCJd7Y2MjYsWPp3bs3/fv3Z8GCBUycOJGqqiouvvhi+vXrx2mnneauANZenHLKKbzwwgtuIPfuu+/m008/pX///vTu3ZunHn0IXYoCfr3pppvo0qULvXv3pm/fvpx22ml06dyZPr370a9Pf4788TDGXXwRI0aMcBln/HlncPrYCwOB3GK4++67+eyzWfQ/7iyOOnYkk/79DBpWsAY87Uv57927N9dedR0nnzue4ceN5qyfn8bqNavRNMFnn33GYYcOJhpVBBZ4MnNy3iM6elQUkL4T5EyUecXIjJyFFtGIlUQDnr5DigcM7EpZVdwNiKYaszxz68xAbfpMnqfvBFEB6tY0Bzx9UPaOzCN9//BoWXYw17dNVRv17qU/kOumh/oCuW7dIkt6/WrB3rFMi39e/gH/ef5r8pFtNto1ryLETm7vbC/stddePP300wXbe/bsWZBC6aCiooK777+bZQ3L2LNsTzomOhbdb9y4cfziF79g3LhxrZ4L4Pbbb+f2228PbItGo7z77ruBbbfccgu33HJLi9dz2GGHtZhPf9NNN3HTTTcVbH/kkUfc19XV1e7rwYMHu4PWQQcdxLx58wLH+Rdv/355A0lDKl857u0Ti8W47bbbuO2229xtTXUZmjZkuPtv9wPQcc9SIjGdXNqA2s+57MKzGXfBxSQ19WTRuGGde+yZZ57JmWeeCainln8//CjJpsUskx3pqKURVo5rr72OWEyjdoV6Whgx/AiOOlIFsydOnBi4hqlvfUxVN2XlnHbKGVw0uj+G0Fifs2MLmuDJpx7ngvPHeamlnhVeoPRzaS/rxsnTByd10p4561P6hr0EozpWfR5N6Gi65irzujUp1nzfwJIvvPvgBHKdYxIl3s9f0zWX4GNFlL6zWpbf3nEmZ7lPP7aF5V85Swg7uCs80reKzOKVljfTOJbU7fujBSalOauGLZ65mhFn9gx8J5Ypiz4BhChEqPR3MOy5555cfPHF7uSsXRlR/2SdNpBf795doMSXYx+hnatKOcnnkXpy5BBILClbLI0cPHHwX4GlMlR8GljTBL179+GoEUcSNTbY/Sx8jPA8fV8g1/RUsKZrLlE6gdxYUqlzhyAddRtL6Io88+6pv36P6+lnTDtu4CN9Tbi3papbCeUdE+i6N7HMJWz/rbAlvbS/GtMm8/yCa47adwO5VnCehTq3dAPUjr2T/5032tVFSyrj5MMyraLVTEMUIiT9bYj2Flo766yzCrJwdkW4P+lNWrnKiSx6NKQLH+m3FuiWnmo1UcTt5pwHdmu5DbfKgD2bV7PbARA6/NcFF1GhryaWWYEuskW702LKpm2H6BHP+vErfSjMxInGdZc8/X13qnMmSqOep5827CcDH/Hq9oLnAvod051z/zwMoXuLoDtK3++wS8u2eOz3OXvAyg/kqva1onn64K2rmy0g/eAs4YZ1ivRLqwpJ3zTbOWiHCEl/myJPJe722Kj7kE/Izr8+hS1ki/sHD7bcPSwBmrDc+jRx0URSq2v52Dz4g8CaTYkCVYpAFzn7fXAAcevYtFKGAXBX1oKgpw9e/Z1sWhUo03RN7e/YMHaTzszaZHk0oPSjcd3NnwdPbWtCoGmCSFRHE6JNewcpXTGTNayigVxQwdxA9k6RxdSdMs8Rp195E9saar3FV/JhmTJU+u1E6OmH2G7watK3/WMtVv4ACCj9vD1aacsmH2XOqNeWhZQ6lZFVAORkAk0WTqYTmMS1RpBJ970DTZiYMurb1+1kUQvLLbiWl7IpbAWuRTQs0yu4FrHrz0PQqnECr5peaO84nniizAsAZzMmsUSkqNIvpsCdftlXEriPfk8/a1ruspHu2sHCN4AZvtXGAudR/bXcgcLL7PF/787iMbpW+GRomZZX6nkz1jzeHRAq/e2AsJ6+gvPH184pB0E4xN3Swa21aTOSEBGkcKKrwVTAcr2GJOsKDo2LRir0GrAUgQZI334t3f9Le7sMXqP9es662ViaFbR3pE/pa54P7szIjedVpTQyJpGY7u1v5ZG+rZ6TZTHPEkobyg4KkL5mkz6+bT7SL2rvKHUdIH27wJzzvayoSzH2oRmgibxAbp6nX8QSyi9i55C+WWQAdZ8iwp9WmwhJfxsiJPstB/fH3aKR27bS10TE9R+EZQUIRj0DFGs76NFpeUrfv5uj9J2YQX4Ll7z/S75t+CawepU/kOsP8jqB3PxCbJYvBiDyiBW83PhEWTQQByiwd+ygbX6ZZGfWrWvv+O5EfSoXIP2cYdmevqf0f/v0HD5YVIMhpVszX/osLKff0rQCwV//+R04gdxii+ZYG5EUsLsjJP0Q2x/t+Z3m79OWvdNqIFcdo2lR0PxK39tF+JR60RNLj9C9Y7ySBZJ80g/2TWhgYtBoNRWdnAWKiDPSImdJT+nb9o5L+qYkoTVAw+qAMnfO56R8RmO6NznKlKrYW569Y8lCMnb65MYKfM5JOmsGSd+03Jx7Z5D7YqVKoRV+T18GPf3WlD4+EncmmllFSN+5tpD020ZI+psAIQTnn3+++94wDLp06eLWemkJs2fN5pZrWs6X39nR3NzMySefTK9evejTpw9XX311u45rzxNQIec75LspSt8mfRFBuPaOlWcVSQqnjfnr+3hK37LpXiM4e1QIh8QKPf2IluH1pcuprP0wkGMeSNmMaFx7TAmjP1usPH072yca1117R1qSU7gI/nZQcXvH9vT1mOYL8irS9ZdJ1rRCT98ZFKTlWSoH6ovQ7dRYy7JLMdiHZFyl74+b2HdL+AO5+U8UxYO/zkQv94676aOF33n+E06IlhGS/iagtLSU+fPnk0qpZfXefvtt9t577zaPO/SwQ7n21mt3aZvnyiuvZOHChcyePZvp06e3uPhJsWyW1pDLpqjSV7jK2lO0m6L0HTLW0DQ7l0FaG630lWK1MG3SF6L4YugCiWVKT41KqIhU090w6WmpAnSO9eG3a5x/Zzc0k7OVPqiFR5yqlJYliaPmdKxZv4a6puCatg7pR6KqpLdTDE1ogkR2KVGh/oZFEdJ3FLdlK/3usXncXP4nBpS+EtgeVPrO5KzA3UIKr55+YcCYwDGu35/n6TuvixF7aO+0Hzt19s60pxexdmnjFm2z8z5l/Oisg9rc78QTT+R///d/OfPMM3nyySc555xzmDZtGgAzZszgN7/5DalUimQyycMPP8zBBx/MtKnT+Nsdf+O5l57jgw8+4IorrgDUH/nUqVMpKyvjqquu4vXXX0cIwZ/+9CfGjBnDlClTmDhxIp07d3bLLT/22GMIIejRowdjx47llVdeIZfL8cwzz9CrVy+ampq47LLL+PzzzzEMg4kTJ3LqqafyyCOP8Omnn7o1cH7yk59w5ZVX8uWXX/Ldd9+5s2AfeeQRZs2axT333MNjjz3G3XffTTabZdiwYdx3331Fy0SXlJRwzDHHAGpW7aBBg9wVvfIRWL7Pakf5XKOZmJZCt3IYMu6RwaZE7nyk79oM0iSf5FtX+gpK6WsgJFk9i7DslaMCq3FZpBqypBqydN2vAiRU6t8BsLdcwTxUwDUSDdo7/iyV2lLN9eATpVG33ELgPm6YxfLMEP8lYtjqO1DpUkqisokffHgCVsURvF33e3cWrT8xJt/e6Z18K3Dtlq3O3UCuYeGVYchX+gTtncAThRZU+q69k6/0vaehfFi+QTNE6wiV/ibi7LPP5qmnniKdTjNv3jyGDRvmftarVy+mTp3K7NmzufHGG7m2SDXQO+64g7///e/MmTOHadOmkUwmAzXy33nnHSZMmMDKlSsBmD17NnfddRcLFizg22+/Zfp0r967U8v+V7/6FXfccQeglj889thjmTlzJu+//z4TJkwoKLTmx5lnnhkoiTx58mTGjBnDl19+yeTJk5k+fTpz5sxB13Uef/zxNu/Phg0beOWVVxg5cmTRz/0/zvY8+TgEXKKvpWv0G2/hlU2wd9xwpNDQ9ajXjvT781ZR0nfatexZSQLphnw15ykEkJY3E9b/BOB83jlSDUB3WYPAdBW5ZQXtHQfV3aKe0i/xavJYlqSZzgAcEPvSy4hyCNKwC7hpXv0by4I9M+8BUKGvcduxZOFMWecz0zD4QUKV6sjZ6aqOOveUfmEZBjf0InyLqFjB+XheOeY8e6dA6eP2Jx/+tkO0jp1a6bdHkW8t9O/fn+rqap588klOOumkwGd1dXWMHTuWxYsXI4RwK1z6MWLECH73u99x3nnnccYZZ9C9e/dWa+QPHTqU7t27A2r1rOrqao444gigeC37t956i5dfftkdBNLpNEuWLGnxerp06cIBBxzAxx9/TM+ePfnqq68YMWIEf//735k1a5ZbbC2VStG1a9dW741hGJxzzjlcfvnlHHDAAUX32dgfp0PACWFncDhlqu2GLCmCk7Na43wpQTj2jkOTZpD0RUud9NSqQ2vOqYQaBRQs3xq8+VlAUtIlor6LGCZV+opAINIfyNUsiaUJ1pf5lX7ErRFkmRJNKObdW68m4rNk3PPrAt1f3lhK9kop1b7O2M/dv1ievtMny2j0YhR27MKSdm693kSk/Cuy5mDivjIMUu2s9hXBevqF8wEosHecJSj9NX3ca8iDq/SLfBYiiJ2a9Lc3Ro8ezZVXXsmUKVNYt87L6b7uuus45phjeOGFF6iuruboo49WH7iOhOTqq6/m5JNP5rXXXmP48OG88847rXrbbj13CmvWF6tlL6Xkueee4+CDDw60M2vWLLeuPxCojz9mzBiefvppevXqxemnn+4qrbFjx3Lrrbe2+76MHz+enj178pvf/KbFfQLL9LVw3aZhuSo1X3VLd/FWp/qjcPPhFWcE93cWI1HLEDo2go6ws3eEtBD5gdhW7B3LtqSEcEhfIPw+ft5TQ6DvQFd9KXPjMQZksnSKLglk1niTswSWo7aF4C8z/8wv9h1NWWlPN3tHWhJdKl++XNtA1CFqX180LVjpUkooNZYC3qxhaRaSvjMeqrLHXokLdz6CPVBEquaS7P4cDenziYBXhkFAeSJCKmtiEQy2aiJI+kWVvtMXqW68q/RbCeS2d52J3RmhvbMZuPDCC7n++uvp169fYHtdXZ0b2PVXo/TbGN988w39+vXjD3/4A4MHD2bhwoUt1sjfFBx//PHcc8897o9g9uzZgFrPds6cOViWxdKlS5kxY4Z7zBlnnMGLL77Ik08+yZgxYwBVM/7ZZ59lzRplA9TW1vL999+3eN4//elP1NXVcdddd7Xav4AiK/I7lVKybnkj9Xa9FS2fOGWQ9KVLx65JH9g/1ZglZdemF+7goKFruk0msoiybyWQqySoaguBJYT3Y5Ig8UoR59s7SCjRGvk2qqylqGj21ZqXlBjLYekMpH89WgGmZvD84udtT99ASollmERQ96hMq3eVvt/rr9RX0mXJg4B0/XldNgOgYxAhg2lYRfPnnVssTW/hFmc+ghMUlvYTwBVPzeGxj793q28CdCiJkYjqmATTKgOTwPJy+wNKH198oFWl3/JnIYIISX8z0L17dzcY68dVV13FNddcw4gRIzDN4kHKu+66i759+zJgwACSySQnnnhiizXyNwXXXXcduVyO/v3707dvX6677jpA2Ur7778//fr148orr2TQoEHuMR06dKB37958//337mDTu3dvbrrpJkaNGkX//v358Y9/7MYZ8rFs2TJuvvlmFixYwKBBgxg4cCCTJk0qum/wx1n8RxwRaXLpbPF9XNJ3rAQR3KugeFrwjQS7zoyGRFPKPI/01eCQ3zcZaMMZyqX9pJF/QosiTwz2Zw22lI6IrDtBS5qS/dbcD89ehOUjfUuAqeXIWTkSJVEsS5LLmAgrjUCSkzrlot59wvBfylHJu9jj27uUjWRaIE0i9tNBUtvAhV3H0in1EVa+1+56+hYUU/rSuQ/e9TXnTDeQK4GqkqhN+jIwa1aIfHvHu9dZ02Jmda2bou8PDEMLpB/m6bcbob2zCWhsLMwYcpYaBDj88MNZtGiR+9lf/vIXAI448gh+cNgPALjnnnuKtl2sRr6/bSCw+lRLteyTyaS7wLofQohWA7HOgup+jBkzxlX+raF79+7tfrw2/fZOkc+lZdFBX0EzHYHKQovEp/SDGfWihRY94he2X6AJgSY0JMJuP4/0bX/az4TeiofSDeRKNKTwLCiJR4QmIvCUIn0kWe8jfb/Sj2ZXIDPLsTQf0QlAGORMiFc49XcMdEuR9xLZlQO1lSRpdNtxj7V/5l2i3yo7xj4GoFxfS1TLkMgtR0bz7R2f0rd8pC989o5P6atr92wfRfox1jdnMbJ5yyXm2Uj+uQovzFnOze8v5qRICX2ce+b7avzErhZfMcI8/Y1Au5S+EKJKCPGsEGKhEOJLIcThQoiOQoi3hRCL7X872PsKIcTdQoivhRDzhBCDfO2MtfdfLIQYu7UuakfHrpyn315YpiSm1dM1+g2aVRjoNg1T+eVu6mO+RWLXz8GyVb6j9IvbO/nFb6RN+EIIpfSRbpnklo5TA5rM264GEKX0AweqXotgPMJRxwApPQGodQCc7B1pSXKpaoRlouGtqeDYO+ubU24Wj5mz0C1l09RE1BNhUmxw23GQRi3Y0zW6WD1B2dYOQEyzbR6zOZA5BMFALv5sJJ+n77eywHInaklLfWMdSqIkozqGlL56+kF7xy3dYHd5/gp13WttO04pfW9/06f0Z/7vd0z63TS3mmio9NtGe+2d/we8IaXsBQwAvgSuBt6VUvYE3rXfA5wI9LT/Gw/cDyCE6AjcAAwDhgI3OAPF7oJdieyHDRvGwIEDA/99/vnn7T7eNCRJTf24dVm4zJ3l2mJOmLQlEleeunS5qjCQCRCjjrjc4Lbl2jv4lH6RbJ3A5K9Ak36lL8Ahd+dBwxdgDjyl+AaOSKwDWQS6rfQdi6MKlZkTy3nJAZYmMLQcGTMXCMo6Sj9XsR8ApaKu4PqjQhF71+jXhaRvf6ZZqUCxNwimbGL5PH0nNdWxdxylL7wanJZpYSGpStqkn2/vaIL6dI50zvSKtNmEvWBVffB2SwrUvYNv59T4v5RQ6bcDbdo7QogK4EjgAgApZRbICiFOBY62d3sUmAL8ATgV+B+p/uo+tp8S9rT3fVtKWWu3+zZwAvDklrucENsKn3zyyWYdb5kWmuZUpSwshSvzSV9agZlRwlX6waHU8/btoKVhEYnpxGUDCImUe7lE7Sl9YW8rkqIpgzaUO/jYNo1mPzUUKn37OoUWyAqS7v8gHutAVmjK07dU+mNCNBB1FmPJ1EBJJ7sdsISBIXNu+qVpWmhWMwhoKOkOG6DEXgvAP1bFhbJ8OkeqqTMlOh7p60INuLqVolide9WWhCL2Ts4O7rrfgDDcO2gYFhbK3klEdXKWaS90YtteluTEu6YxcJ8qRukCM+eVwVi2PsUhe1cgv2u2b7W68+499Sl9f9E4t68hWkV7lP4BQA3wsBBithBikhCiFOgmpVwJYP/rJG/vDSz1Hb/M3tbS9gCEEOOFEJ8KIT6tqanJ/zjELgBnwRLhm8zkR1Ndhmyzk2nj0EhwrzgN0LgaV+nnDxzSorE2Te3KJttWkAHp6Cp9oSGlsAO5rds7fpXuKn0nZVNotsnkt31ACi2YvSO9a9IjZWRRpC8tiTQlpbqn7hvql/sOk5ycXkZ5LoUWsRW44Sn9VKmaw+Eofb/ijQlV9Cwq0moQtJV+vfBmVWsyHfDapy+fzvvL3vPa8gVyS7VaTqq6Gd1ab4+E9sAsTPfq01kzEMg1pBqAnUl1ny5Zz/INKV6fv5KsvdShW1sHOOIHndzBpDCQ691Px+pyPwtJv020h/QjwCDgfinloUATnpVTDIWyzRFJxbcHN0j5TynlYCnl4C5durSjeyF2NjhKTctPZbTRtCGDNJxVqIrbO0kaoX4FIi+Q6yp96dW6yaZN+5OgJaPZxrLj6RfEDaBA6buvfUazspeKxxKkPRjEKnTvOBt6tIyM0NAdpW9JSrVa9/N0wwr39R7mSn7XWM2L3893yzNYpufpG2XdsRAktUJPP4Zd6VJILCPjpmtu0DzS162Uyt7RBI0Zg1e+fYV3l77rtiWk5+l3iy5i/8SndJJL7LHPU/oODENZPSUxnWRUJytlIFj7zdomftC1DIBVDZlA9o4U0HfvSl98ILjouV/p+4vGqX0J0QbaQ/rLgGVSSud5/lnUILDatm2w/13j238f3/HdgRWtbN9t4P5R7+YTSBw15vzxiSL3w11vVhQnfXc/4VR5zMvTl6arArMpI6+Amqf0wZvYJYp6+n6lH1Tynt8v3Ktx5gC4LpAzsDhPEb5Arh4tJSMEEZFxPe1S3SN9Uqvdlwk7xTIhJYl1HwMqoOlMzIqUVNJMBaVaXYBAQRKTDWRsJ1dmm4k6pO+rnxSRzUhL8v36OgbdfRVN2WaaDRVbkBYIXyA3Yq9FrElDhTCcwVuYXkjXVPdY1zSi0QxZS9XTd7rVlDXp372SbhUJ0oYZUPoS2LsqGfT0fV9D6/ZOyPptoU3Sl1KuApYKIZypnSOBBcDLwFh721jgJfv1y8Av7Cye4UCdbf+8CYwSQnSwA7ij7G0hdjcUPt8V7JKv8FskfSeQ6rQkHR/adJtVSl+dR7rH4JZgcAK5xRZNkf5icMHggbtBCuHmckZkPVkj6/XXtzKX6p93XDxmK31yWJayOMpspb9S10lk17qnc0gfINqkJsdZhuXaOySiZEkSERm3pAIoS0cXJms1h/QzREQxpZ9GSkmNsZh417dZ0biKnPAqeQZJX3n5usz67iogTPe1aSql/97qR5iS+SUZGgJKvzlr0Kk0RmUySs6p4eMr0rZnVdK71TKo9HMZk3cfXUBTXQY9EjQQQs5vG+3N3rkMeFwIMQ8YCNwC/BX4sRBiMfBj+z3Aa8C3wNfAg8ClAHYA9y/ATPu/G52g7s6GTa2nP+ezObt0PX2AE044gQEDBtCnTx8uueSSopPTWpzw5PvMVfptkD52+DV/Rq701cd3Ui29PaRN9E4LWt6TgL+vfntHBvvj1P9BuLUDKvV1lFmrvAY0x9YJBqYB9GiJrfSzSFPZH3GtkWairIxEqLC8n0dceuUyoin1gGyZkgiK9P/763Fu0FiVTbDonXyLEm09AOs0ezFxI0XUHkBqfZO/dNJEzA0cHX0HpKQ2vc4NbOfbO7qt9J2sKyd7R2gZV/WbpkQKk2k1k9VpRQok7iS0jGnRsTRORTJK1l61zPm+4lGNjiUx75nKp/S1iCCXMVn40SqmP/t1odIPZ+S2iXZNzpJSzgEGF/mooISinbXzf1po5yHgoY3p4I4Ifz39ZDLZ7nr6AwcN5NpehRU3dyU8/fTTVFRUIKXkzDPP5JlnnuHss88O7tQy57uvPVsnSP75cCZHFTjqlq8+vt+WsYutSbxZoU72jsAqKNwWKJHsU+nK3nE76xWqAXQscs5+rpp2ctu9vmixUjJCd7N3VHDbxECwLKozPOvZO0mf0teb1Yxo07TQZQoLSAuBRQRNmEhTUtK4gKGV9/Nxw3kArNVjYIDMpomKFBaCOn+fZZqBqf9m3+gnPJHpylytlm6iwu6zRPOl1ep29o5mDwSOui/d/16iy0fCktFYhuXZPkDW3tfNpxfQsTRKVTJK1kwH6umXJqIkopo3Ocyt3qbsHMuO92i6AD1P6e/m1ml7sFPPyH3/kX+y5vtvt2ibXfc7gGMuGN/mfptST3/61Onc+X/vZPILk3fJevoAFRWKKAzDIJvNBqbbO5AEV5kKTl7KJ/vi2Tv+Y4NZAr6UzYIYivQd47OEEIq3pYWFFuib3yMO9EB6nr463rsf0vdaaN7KXODEM2zrJVpCRjjZO3bevTAxhcbiaIzRcgNVuXrqIuUk7Po6q3WdqiaV1WOZkigpskSRQmAKu76/JTFzav8S2y6q0VSdH5lLESVFmigZom4/I6TQrTrspQEwpYElvD4L28oxEeh2/3VylGrr6C+XMNtpSE+7x/hTYA3UoGEa3uLxHUvjVCajKnvH9L6vsriOEIJ4VPfdOmcQ9dfhFwV/X2HKZtsIa+9sIjalnr4/o3xXrqd//PHH07VrV8rLyznzzDMBtaZrLmOrRSkRokh6JL6AXaTQ07dkMb3vWDX+gYPADE9nP+G2b5P+hiWQSyHtn4Gz9GGw+fx0S995nAFBCIRviqmFLxXSXZnL8fS94SYSS5IROrrtw1u20jcRLI4pQj6k6VuiFiTs4Ot30Qhao036hkVEKAIHMJxrMCV1zTbp6yqbp0a3+5FLEbWPMYi5/dRlyp2RbDhPQMJX7tkuFZ3xXWdEGvys0wSuNN727on9lGSZMqD0LU0db2S9NN2OtqefMa2Ab1+WUH1NxLyMJyf4X5vybCZN19DzlX5o77SJnVrpt0eRby2E9fRbxptvvkk6nea8887jvffe48gjjqF+rSof0GmvMqTMX0+2UOlbOCmb2P9KmimhJpph35zpqk1VhsHfgl2SIS/4F6zOY79uXgfN67BQE6A0THI+IlT9yeun8L12y0JqCC1I+u5g5ZCt64971xuNl3n2jumsXGVioLHIJv3eTd8wt2SA6+l/G4sytGmVukOmJEKGrP0zNlBPCmoylSLZuB20Xe88meUyxFzST7h9jpB2Z9p6z1b2d2FJhK3UU0JQ4lgtGJTq64P3y2mjgPSD9o4FdCqNUVUSZbkl3ZLPEihLqGtPRDXADNg7ppA4uZyaJtw5C+75Q3unTezUpL+9sdH19H3YlevpAyQSCUaPHs1LL73E4H4/tPvn9719i4z4LtutmW4HKIWdr6dWqNJoFpobugXQhGPVeJkf6r98pQ/e0FB8Fq8QDnYzWgAAIABJREFUajGWwBGB2jstp2z6lb6/P6KI0ncQi5ZSr+lESLklj53lF2t0nTqthEMavyHSUZK0UpjA95EomtlIUqtXgV+yZO0nixwGUdvekaY909YOujY6tojhKX1L80g/SsadOWw6qay+wmq67cmnNeGOCsXKZ/iVPsJ05zqbNumbOZ+9U6aUviXUDF2nSFtZ3K/0VRaWo/T9Z9R0ESr9TUBo72wGNraevgOJ3CXr6Tc2Nrp2lGEYvPbaa/Tq1csjX199dE20oPStQlsHVHkAWbB3IdRkTbVzcBD17J2CBVn8U/zbtHfsS/F5+prMIXwzVv0BX8fe8S/o7pw/nigjo0XcyVlK6RsYQkPTdGYlu3HCuumUZdMkZIqUEKyIKIIv19eogmvkyKGzZ+meZIWBEMreyeTUhKxIHunLXIqYSJMWUaTukb4Qkpi9KpmbZ2QTuLRwA7lpn4ce8VOwm24ZVPod4uqpMF/pa5qgPB6hIhlFYmf72OWYXXsn6pvQ5ip975SaLgomY4VKv22EpL8Z2Nh6+n59uSvW029qamL06NHuNXTt2pVLLrlEKUWR9XK9JWgBzSYLXjq16YXwbBSHnPOJ2RHnWUujISdoMtTqWP6yAsJty1v4BD0GeixI+iIvBbBgRm6hp6+ZWch68RJn5q+UoAld0aD0SN95tIknKsiKiFuGwTKV0jfRKImU8D+d+tM5t4Ezat4kIdM0axrLoooQK/TV5LImEZElK3R+csBPXE9fPTWoXHonp77Rviwj24QucmRlBKl7T48AMfvpyrlCfyDXI31v/8DTmvtdOAOFStmsjHVAF1FMe/BxPP0SO1hbmYzaq2qpbCuJpMK1d7xArqP0/VLBWXzFjzBls22E9s4mYFPr6Y/40QgOHnwwyF2znn63bt2YOXNmwXYpoUpfhWHFgUqbDA17MfFgfQ4pJRGRIeaXcJa/MFvLy5VbUjGbITWizuChCUxfxkygPLIeU56OL+RSoPT9s33yau/4M42EFTzOq9mv2QupOATqnAdK4klyWhRdGFiG4do7htBoNpqZUbI3y+LdGNw4D0tYNAuNZRH1k63UVymlL3Lk0Dhmn2PIca8byBW2p6/bF9dkk76ZTanUVATkkb7j/7uLq/ueTpxB2q/0dd+NU+473n22Sb8sWklMi2Hpjr2j2kzaFk6VnY9v2cRu4dk7jnXjz+E3fd++pgsM3wOW//6GaBmh0g+x1SGlRMdw1aJpWUrRisK0TymhY2QZcV+6n+XOio1wUMeeAWVuHxX4VzoN4VWK9ErjOJUkJUTiEEkEHjT8pK+asALvA2f2VfosVotfgkv67kQu+0kjh0ZJNEnOCfQaaaSpbC8TDUtaWLrG6lgnqow6ElaaFFHSmkZDvJLKyEoMn9LvWtIVS0TQhJrZi32vHXunWVMEb2abbNLXsbRg0Dpiz8AVlj1TuYjSzwRI37vm375oL6Eo/PaOSUW0kpiWwHKUvu3pO4TuePrSkuTsWbyOveNW+fTFzAvsnXylH6ZstolQ6W8H7Ap19YcNG0Ymkwls+/e//10Q3wAQUi2I4hCjaVnowiCnRYiaZqD2TrEqidJyJgEJolqUXAukL4JvAacmvN8+8klBPQZaBIknFy2EqrrpBIj9gVzfE4MiTq9YjJAmjUJQFngaAG3VPHJC+JYxVJ/lhCAeiWHqiniFYdezx/QFUjVqo5Xs27QWqZXSJKJIKahJVFKpr2JN1kIXWXJoVCWqqBYaGgamaSHsgdKxd3LRUnX+XApNmFhEC+wdt88yDpgugTuDtiEjGL5b7/f0hy3KG3gtiRQGFbEq4nrCVfqOveMQemUyijOnIpszkcJT+u7kOZ/SD5iCMvD1qHsWkn6bCEl/G2JXIHsH7a2nr4hM/VSdNE1H6VtaHMzgwFGc9O2MJMfTz+PxQnhkLbS8HH7/878WAT2GIOvOxHXDrFKtqOUfJFTqYuDi7LNJNCn5LhrlkEzO7pyydxyTxIlROIHkrNCI6TEMW4FjZpSnb6dsAliaIv1+5jekTY1GLQZmkq+lxYjIKoyciU6ODKXE9TimECqQW0TpW1F7dq2RVgOW0Fx7x7HZHERkHGhGt9NQLVOiSwNT6O6ABKALny/mZO04nr5pgWZREa8kHomT0tT37ARydbud8kRE5WJZkLUrc5YnIqxPr6fBWkYl5So+4nj6vi/AX8vH+353nd/Y1kJo74TYqpC+oK2GpTZYhl0d07F3Wlf6+Ek/XUcxxpctvPavBKU+9JG+0EC3g75ulUz1f/fZoSWl7/cc8KedCiSmm7Qp8Kp4Sl8bWQQxLYbpqO1cyp2cZQmNv/7orxxQfhi10QoqzTpKrBQ5PUp5rJL5hkapth6ZbiQisuSE0m6m0NBRZRgcpa8LA0NqJGPlmDICRgrNtneE/ZTRTFDxR4QKpFbGfWUYMLECoVsVlwGozf6OkpG3gvTW/7UsVYahIlahlL5mz+i17R1H6Uc0Z5CVZHOW6+nfO/tevkg9o87vm2hn5v2t5Ns7odJvGyHph9i6kNIlByFQhG+rUGGrfC3g3xdG4kRGBc4FQKYRq4D0JXFrH/CvvmnvIvRW7B0hQIu49XucA336HUFQ6Qfb8vb0FkUHkWc/WUApBuV6jUtKWSGI63GsiEqbtIyUp/SFxskHnMx+lYewXq8kKTN0NOrIaDG6lnZgpT3RKpJegy6y7uQsEw0hTGXv+HLoLaFRHqvEkDEwM2pCm9BUPANoyiP9qD1BrTRR6l6mLg1Mmaf0ySElNFvHopV0IWLim8Wr7mRCj5PUE5h2eQbH3tF1wcrGldRl6tQAICFnr39QEtOZunxqsC0nkOu7tdIsnIvhX2AlRHGEpB9iq6Jg9q1lBJY6LNxffdYsBOtQi2zomXqyMoGwJGQbyeXVWxFSt9srV20425HoZILnsfKUvhax5wB4ZZad/yypBeINwRUbvZW/vGr6eddChZ2ppI4q0eqJiVqiIk1WCCJfvOhO6pK5tE9Rq216RGNDpBKATkYdGT1Ox0QVDRG74FiujojIkdMcpS/QsDCMYGDZRKMiVoUho2hmWllAQkPTVfniJuHV4AGICkX6FXF1P1UqqYGJzob1lWRNdb91kcOQXqHBWA40+6kDS6n+mB4lEU0i8+wdNBj13Cj+683/AmE/EdnZO6vT37GqaZU7/KoSDc61ePCXkHZghCmbbSIk/U2AEILf//737vs77riDiRMntnrMiy++yFdffgVsnrd/9NFHc/DBB9O/f3969erFr3/9azZs2LDJ7W1NmIZFNm2467ACWKbjeQPFSN8m5TpZSkZ6NdXrzU52o1nW6BHWG3u5nwl7RqrMK+2Q1OpINn9Due4tuynz7R0h7Elb/p+CkxoaXNQ8GMhF2RlSFKSdCkCXJViyMxblgfTTcqHKFmSFQDw/jm519mLyRtpO2TQw7YFA0wQb9Er32KwWp3NJB+p127rJbVDZO7bStzQVyDVMCy1A+oLKeBUGMTQrY9s7AhG1ST+v9ETMJX3P3tExWdpUQdPSH/Lxuv3U+TFIW4d515aLI5wibpYKdve85zkGruiKmUf6GU2tnPr1hq/dgK1aeEUyd91H6vqFF3IsFsgtZu+YRkj6bSEk/U1APB7n+eefZ+3atW3vbOPFF19k0cJFRT/zl1RoDx5//HHmzZvHvHnziMfjnHrqqRt1/LZC7YomGtal0TC8xU3MrJfqKH0E6sD+LBLR3eUMAaVS7RlPlpDBomZuPoJDdMJW33b9Gc1bCPz/s/em4ZZV1bn/b8y11u7POdVSRRUgjaJ0RSOFChJRVDRRosEmxqjXq9dewRhjzKNpb3yiydWIejVeRaPY5eqNXf4kBJWIEQVUBASEAou+qP60u1lrzvH/MOfq9jkFRWO0tMaXc/bq19prjznmO97xjnoJZzizSBFdQ5mGVcwiZlE5yfBbeDinTPBWJRj85ybb4gb9EI3nss2jsEM79YOApn1f+RpUNsELiu2OJotjpVGLlZ1lzCY+gZpkXvojq2D6Zgl4x2JY1gyRvhsh+EGhF869MBbpNwOVc7IVZk6BvXPPwqGctf7lrG49F/D5Aqsriv2mRi1MOJY6mJpTVt/Y53duehqHZx56syP/Hc3IDeUJA7PHBcrmldu+xQmrT2AqOag4VpnIrTzbJeCd7AEQ9b914Y1868IbFy1PR0uLAf6q2H6n/yAsjmNe9apX8b73vW/Ruttuu40zzzyTDRs2cOaZZ3L77bfz3e9+l69+9av81Tv+inPOOIfNt3g9nj/5kz/hSU96Eu9///vZtm0b55xzDhs3bmTjxo01Fc09WaPR4D3veQ+33347P/7xjwF4znOew2Mf+1iOOeYYPvrRjxbb9no93va2t/HYxz6Wpz71qVxxxRWcccYZHH744Xz1q18FwFrLW9/6VjZu3MiGDRuWLO6a3TFg+52Li9OWsjwK80JmoXOTKyN9KRJ0i+GXZpIUna0ABONfVvX9bqs/9jzSr3WnUuoNyYtrKiGZzDq2br7Vs0MWOX2P6ZtapF9J3BZbCmKiRTh+UaqkCSNjuLfRqa3N2TxRnqC0Q1xRvxCuxQizpnT61sBUMsFMcPqNzAcdo+D0nXhZ6CzT2gzFBkpnRkLkhog4mm6BI2+9EIC5pZy+ChM1eMeye+gdfCs61F+7pFRdyFTawoRZggCRc0jbO/uJXBQuRPp9uZt2HGZysZeMcJmXbrhtbhNnHXoW7TDLcc5VErmlLR3p773Tv/47d3P9d+odW3dtmef/nPdtdty1d+/4vmj7NGVz99duYXT3nuWCH4w11nVZ9uwj7ne717/+9WzYsIE/+qM/qi1/wxvewEtf+lJe9rKXccEFF/CmN72JL3/5y5x99tmc9tTTOPUZp7Ksucxf/+7d/Md//AcAv/d7v8eb3/xmnvjEJ3L77bdz1llnccMNNyw677hFUcTxxx/PjTfeyPHHH88FF1zAihUr6Pf7bNy4kXPOOYeVK1cyPz/PGWecwbvf/W6e+9zn8o53vIN///d/5/rrr+dlL3sZZ599Nh//+MeZmpriyiuvZDgcctppp/H0pz+dww47rDhff250H1ezBxPFEqGaojatYPBL/EArypU6jt1XI+jKKtH8Na47ALPU8SuOezQc4azFGVv0sgWwxiIqqDP1c1pX+cXkcg4GYQKVEeuNAPPFem8JgpIFMbc80l+ZC6LlqqJ2VBZnhWuxKNOmhHe0fz1Tt65kJgyGLbcdIkpM34REbuYwzhb+2CJMNiZJNSHS1Es1iBCH5zuO6R/QOAK7q0kjTsIjU0QzZtN8u1yKOqPq9CfSFrOVY0XOIWHgaIXtCniH3Tz1kKfytVu/BsluYLV34kGj59T1p3KZBPZOLdIvr7PaVzc3+xAx/eltXvxueluflet7D+lYv6y2Tzv9X6RNTk7y0pe+lPPPP592u8SeL7/88kLe+CUvecmiQQFKTL8qbXDJJZdw/fXXF59nZmaYnZ1lYmLifq+lGu2cf/75/PM//zMAd9xxBzfffDMrV66k0WjwjGc8A4DjjjuOZrNJkiQcd9xxhZTDxRdfzDXXXMMXv/hFwAvH3XzzzTWn/2BMyHUxTeDcm/zCPW4+JowG+ARncH4LoQFI/ns/Ik2ZqexhCky/9AjeWd/HoIKSpXkPWIdGpqi41VydGVNASgqLosp8uWTLyYBlbCdlbHAiwSgM7QBLggmFYKttBq2pQgVT3bBU2QyNVzKFrY0Sb3cirNx2E1lbGGmTltsJEWTh+TiJfCLXulry3GKYaPTIiEnUwzsKmHA/fYmwGhe5lzWNIxhueQJJcicZfgYoailkGfJEs6RoBWbr2TaxKZlAsVWk4R1nK2yXUzatjDhm1TFcfs/luMh/m1qRY17ZWllAadaVrS9rkb4tlw8NxKH5+kOxUT+r/f1VtH3a6e9NRP7ztPPOO4+TTjqJl7/85XvcptrZZzyB2+12i/+dc1x++eW1AQS8Wua9997LySefzMc+9rFFx7fWcu2113LUUUdx6aWXcskll3D55ZfT6XQ444wzCunkJEmKazHGFHLMxpiaHPMHPvABzjrrrAfyGO7XvJOJi3NI8K7jgIjfwFNkRAyRHTKdrWV7d4HesMTKW6rMVZ6lkCtZRixrrGY+2wVk9wnvAKSj3Oln9GUFmTaQqF8UKxVtGNUVOYnynDlNs/L9Olf5XP7N73deO6S0ga0+dbrmOOJtVwGwbvh9Dv3Gh8AMaLgefPWNpIe9mVGs/NX6J3PZ6ufxhzf9ISsWdkG7R1+7tMV3xcojfSfG4+ypKxhSkEf6PVJNaOssIg5FiFXpizAjDawmhdOPRPnDhQuwn98C/CVplhawmrfS6VNJgE9krbJpDBBZLSP9MBsrmqiIY31vPWs7a3GRz7n4RK5DEHpJr2A2WdVCSC0bx/QdLF/b4YPNeV5w20OP9EcDP6wMf4Wd/n5M/yHYihUreMELXsDHP/7xYtmpp57K5z//ecAnXPNGJxMTE8zP7hmKevrTn14TUrv66qsB35Dk6quvXtLhp2nK29/+dg4++GA2bNjA9PQ0y5cvp9PpcOONN/K9733vAd3PWWedxYc//OGi6ctNN910n9227s9KhUv/U1ZyrZR6ArfGfMmTuyJEbsRQu6QuW3qAKPYJ0abEGIkK1sfS8FF+7gYN1yKOG6gqVmGoPQRlWxyxLYrLmYO6UDhVdyiC1lg/6vIZzNj1heXz9NhSSXxywFHE4RKn7G1Edo5IMtrZbvjhpxg5JcZwweqTuGbyMRycZTxmdhcgLGiHTnD6RaQfYJ/MZkglJs7EMNXykX5EigmRfgI8b/1aLkkOJtNq60Tl4Pk7GNw+geLInEW0xNWdRnzmZ09jkClVF/LUn7R43I9KBdZG5iAwgDquiVLpkYuyrreOtd21OOPfMbUOxNJJekQmKrV39qCymWP6YoSR9SHV3hZn7YnPn0f46WC/099ve7C3vOUtNRbP+eefzyc+8Qk2bNjApz/9ad7//vcDvr3ih9//YZ735Oex+dbNi45z/vnnc9VVV7FhwwaOPvpoPvKRj+zxnC9+8YsLyeT5+Xm+8pWvAPCMZzyDLMvYsGED73znO3n84x//gO7lla98JUcffTQnnXQSxx57LK9+9asfMLOoavnMInf6AKir1rsuYrsUTcNFlnSypVX/N2N//XoTGp3XTB2qhoZbQ9O0aUUTxfb+CMqCGObFlA5dbY2umV9LvagL1Pl+XiJj1502whm8Y5rWHp9pP5NM1hddahPKZjb5jDBTpRNltMUChoPTjJ4qK5L1LNAq+t920+3wsacVsJBLsxpl0yEscwNSYmJKeCdRuD1JGBrBVmibRhx9G6M2wjLwg4ja4vtsxWt50oHnspAdjWLIgjZSL+tw0N0l8GZsxvQqLw2+PJtCTbUxuvpIv+r0nYd3JoJkRP7NWeshK1hahkFESK2v5t1beCeP6BctD05/2P/VZfDs0/DOL8qq0spr1qxhYaGkBB566KF885vfXLTPaaedxqVXXcquwS4mm5OFBHJuq1at4gtf+ML9nnt8v6o1m00uuuii+73m8ZqCfJ0xhne96128613vut/r2BuLdJaO6SMSnL5KoTIJFO6+7pbzSL9kuDDuuMN2eeSZM2e8UJr/7GF5R0pEo87uBoxn4KsjkQQjUYFXS3E9FYfu3B4kexUlLumarvw5Va+4ncXsBqxkoA3mafGkXa/nnsssttcCBiTaX/QMRtaxOr6ToyZG/D8xRZvCQ9qHscBuotCIpp3thjtvRFf7Ps0uG9UUMDOEwz7+eK7h8URYjOROPySRxflq3WARyiDLqZezZJmP9M1YjCisBQypGxCbBNfs0Jwtn3U/2U5Lfee2nu0wEC0w/VhadJMua7trseZmf66gzDnR8ANx3oLSurJHbrTqYrj9WeHa1NdZGEhTh5NoUecsdcrt1+9k/aOXESdl/mFPmP2vA6a/P9L/L7R9XXDtgXYlWh5toRNN+30Lxxz47VqN9EvLIRnvlvPBoWTBF9tJzpCv0Dor+RNBEdFCvKy8CVfs09chQq41E6LrTJlYCPmHvEo3RPoSrtuqlJG+lo7Ezwzqej3+XiIOmzgEG5qD5/cjGvHTTceg6nvUFscJf1Obeknq4MDn7Bk4bfGoxioWKpF5eTZ/fJfVI30rPuvhkFI9R6CRd7sSi604/USHDFyeg5knsxleknrcXVjQCKuWzKW4ZpdmyJMY4MlrzmAi8ZTNtm3hRAtMv2G8Y1/TXUNVt1/FMtnwjKW8TsO5SqVta2tx9gLeCZG+UmL6qspn//x7/O/XfYuvf/DH3HZt2c4U7iPSD8v3O/39tt8oaXPwwAcAlVKdRnLWTrm2+K8s2KrMCPLCrorTEWwYMKrLyixBoehpxpvSa8E4GYTtjZgS69c2E26iBkmpsyGCVAYuZvug6wctrReJqYa5ydjERMQQqWCl3uwd4Jlr3k7fnU6j4vRz9bbUWWIyDI5D5ywz6VvYmb6F9eqYrzQ1P7L/PLaP/oTY+WOoHSFSr8iF3OnnMtUQNb1zbarFVjD9p1z/TtrRYRzWOw7nZsicKxKstSepXrhNcaRuSNrsYouG7NCLS8pjL8udfi645r+3tZ21tbaMPtIPtQnhdC50FfOLymtwIZErAtq5FjX9YkagTtm1pZyBjydm9+TUh/sj/f2230p7SAqGUooVyNicpy5hUEI/JYafO/1KFa5k5AVUS54uRI/ZIp0eV3TYysvEfATrz9WLl9GJJ6hKM6jLApTgufY5ui9ocSyntriWWqN3FENEhOf/j98vwMCOsdCCw06td/oRjnbw4QP3BJbbPvNSUiN7bh2pHk6cejkOTTMiXcLpi9TkkJNWiMI1I6N0+qrKGQe+lFNW/yboPDazGHWLIn2HJXMxqkqmIxY6Xa5bG2owxm6ykzW90w/FU/msbG13bUHTxOYtFr3Tz4vzrHUFVl99c9QpmXXMDjOi7k1oNCoGh5y8dPxTDgZK1lBuoz0kavME7n72zn57eEzH/u5jViuEeaD3kHsBzZ15WdO6VCJXVIk1p2ia+jEAUzDi7/sVHnf6Vaw+STzy7Xn+btENVuGdugTD4m2s2jLxW002qsWIQZ1bMtIHmM0GLGWjtF9E+r2KpszydJ7tlPUbTdfD6gqSUYDSXAkJ+asEOquwGOJAy7QKX7lqLY+8o0tH0xq8M7AV2qUOfZ9nXSLSx5FpjKKkbkgSOPqqKSp1p9nWBlYcLivZWQCr2qsWwzuB8ZOzdzKXFQHHzs49XL76hyxb08E55eYts2zaNodIhua9BAAX3p2kHWoexqQV9ojp3we8c+/mGXZteXiLQX8Rtt/p/wJsX8X2a/DOA91ZIkoUXytY/mJX4peWW6zOGRm1Bh6Zj7h1qVe43G78p1vF4cWoB4lCpF8VbKvlG1zA9EVrfP0ADoUPuWp+PVPhnX7kj7GHp9a39crPAtPv7/aJ1zGnv2p3g7vFV3WrQuImgAYahWXZqFaNbEVg7bE1AuuumRZzA+GETcuY0KxI5FqdZC77jWK7jig2XLuMuQvrlEwTVB2pG5EEzR7N7oUQvf9053+yee46msHp52aMsOtzn2Pw3e+XjVecA3FFxXqoksA6DX2O/UBz5cobmFjRxFmlPwoK+2JxuBLTD38boQvXuJ7OnjD9At5ZYv0X/+YqPvvne9c86JfZ9jv9/0LbV519bjV45wFi+ojHuyVP5OaHGd8sxH2+uChn7+Q0Hd/KUDUOMIUU+Pz4s80/LYr0tewTlWYZFvVOObQqLK+jTOTKYAZsGiSY69eat0fxVbxS7FvOZMJg4BwrWisra+DOgRf7yipqokN3FKtn382O0R8xkiRE+paVcyU+3ZuN2SJBAZM2UZA+cAtr/F87TtkE1h5XS5pv3ekLA9cncxx2nbJ90CBzwq3z7yHlzcV2HTG4LMVothjeUbDqMf2BnWcyWcmJK87kwHhYyE30B/cyckMa1J3+ipkRW/7iL7njVa8q5TZCRe5Uc5J7b93ExM23+sXOls5cFJEMjHj1zzxXJBma9wemfFdNJMSJWQzvVCL56nudwzvjkf6e4KB90fY7/QdhURRxwgkncOyxx/L85z+/Rtn8VbaH0orOz9R9r9gi0h/rnJXTORVBXMnnL2JqG5PpWlI91OvHVOCdamJZpJwnLBnpF5CM804/1N9W6wAazlMxd9MhyvrEboaaz1OtOX1PFV38c1LRAt5Z3lxeuRvY0fkZqRvitEzK9u3pNO0j6bvfILFRAe+s6JdtJdNdDQZ5K0NdViwfbPeqlNi0HukjsOrIWqTfHwZKZr/FYBCzYxixaW4l7fig2vV3TYvJ9NbwfOoDqEOxzsM7N01fSTPqcOTUyRzVW4eGQSfCkWkWnH45ED3hBztoHvdCmsf+Zsm6Cp23pppTXPj285i68RbU9cmy0pmr+AIuRHyCV6Yx3VuReN47fVtCReAhorgR3Se8Uy3UyiP9dGhrg0E1Kbyv236n/yCs3W5z9dVXc91119FoNO6zkGrcrN3Hij5cBrvvAOeKKTbsXaBfLYyKcEWYnCdyR9JkNq1ouSuFRABqi4yoqtCSjERbKD5CNQXvP29+snRRjh1P5AanryjNVsuz9sVATVwZ1qXrmYoM0/TCDMWWzdIpE7lg/HVKeYbafCD3Z7bs95Vv2prqYjXFVTpXaSWh+qjZhIiMCMvkyDujzKVkCx3P+QfSitM3o5XhXGmNp+8EBnSZD6kDp2BDldNs6s+dOsPI1oXXADpRhwOG1+FUapRYf5wIMKg6do628JNdXhl2JptG1A9SET7JG0lUJKgBphqPpHHEmcQHn0mcC+Y5P0jGt8xx9sGv51kHvRq127FuLJEr1ifVrZLJNCoO09iBE1t0XqtF+k1zP07fb2tTn3NoTySLttkZhB27y5ZuJr8v2X6n/xDt9NNPZ9OmTcBdsjQAAAAgAElEQVR9yxr/6Z/+Kc9+8rP58ZU/5uofXM2pp57K8ccfzymnnMLs7Owv6vLv32a3wMJ26O+o65rsVdBfSbwW+u45/15YyCaYiNcVDJjckSrAYLrCzl9cnQtCJiUzZRG8EwYcK+N7eUetqjSSBs6UVECzOFPrjyWGXLZZaDLZWOn3kHCHIkhUVgXX2EhRTvusFpN5a091cWSolo6kb9sMbR+njmN2UUT6EyNL5kYsZDNYuxwnjq3p4SzYVcW+iZskdQa1KSZAKdsGHa695SA++r4LufFOfwFDGxdXkQ9iIxehlI1pcpuImzyu/2nmXWdRcZYj9vCaeL2k63Z/h92jrZ5IGxy8icC6nLtfDsyr15yKU4dJujy2f7h/LurBveiiLbTjHu14AuN2YZ0rErMqDhHL9zbvZJQGNVQUkRQVxbqxSF8gaUSkw3pQMBwsdvp5lN9b7mdeX/n7HxVSzTvvngvr9n2nv09X5F500UVs2bLlYT3m2rVreeYzn7lX22ZZxkUXXVSoV96XrPGxxx7L/3jr/2DH7A7OPvVsvvR/v8TGjRuZmZlZJLL2S2VV4a60/N9R1Vfcw65Vp+/S2mcVaGkuOJfr4ed4v/gZRtSDDOZkgtYYtCRquL3hmEphRd5DNRw+HyKcLlbfKZw+SmSkGBR8BfASTl8FFfHtB0VJzHKMJKjGQEl/zHnnqqZIYhbLLb59YNFfwFvabOJIoRLpz6Y9HH0Wsmk2bulx77JpzBrHROoZMi4eQrocJ7fx5Z3/k0Pj3RwdHmMr6rFj2EFtmci9dvdaZhfaxbWqQt8mtKMJLCNGoU9x6gQjBy+6/XbsWUI/S49YhOlriPRRhxiDWofLv+Xw3hhjCqcfSV54ZznUHcCtsz9mfedRHNs/kDvz5yUpKzikOEeis17l01ZyN2KZHqTszAQTRX6ZSVH2gOk3IrK0wmZSZcst08Xn3OnnuP3qQybYdvss2++YY356yOTKNrvuXSie375uex3pi0gkIj8Ska+Hz4eJyPdF5GYR+YKI754gIs3weVNYf2jlGG8Py38qIg+vlON/ofX7fU444QROPvlkDjnkEF7xilcAXj/n+OOP5/GPf3whaww+B3DOOecA8LNNP+OAtQewceNGwEs0x/Ev8dirJShRa1CxFy9/3enn1agEmIRFkaNqncOfqcfa42Zn0emUiEwE2QO8o+QovYz9UMv5hDGGyFTYOEtE+oLgJLRNlJJqWt3CqpIHkkrOBArzmdDEXLUUehbAqeN9P5xjhCKV6lqnCVYt0+l2HjFnecSXb8Jg6WZK6kbEkzGJmUK1T6ptCPkAbUIr6rJ92AGXFnUKyxtVeQf/TPs24RkHvYLnHnIeURCny5ygY20TARLT5ifpsVybnrCYZ6Ux3oW4PGkTou6yzWSUxKFxDoXq6aqml367Y/5G5rPdrBmVPQOWZ44V8Sp2jO7152ehJsPgMf3Mw3IaBvgQ/bs9Yvp1eGfr5llmtg848IjQpCXX9QlBzcFHreBJv+flI9JhqJkIbJ5fhcbrD8TbnAvcAOStfN4NvE9VPy8iHwFeAXw4/N2lqo8Ukd8N271QRI4Gfhc4BlgHXCIiR6rqgwa59zYif7gtx/Srdl+yxq1Wi6j48euSzuWX13KqnKCZw0pGpPFeVuRWHKpmQN5VSWFJqmXO3vGOenffIbKbRrSG8ZfEY/muiM4XlXuFCH3taDWptrFuMyg0I8/eySN9YgNpPgNYfE9GTahFddT65RLgGvGUwgUHHSBzMbEZFluZOJ/FlOOnATJNmdcGA1WaUnW2CU4z5rMZDulOIAi7ZyfoWsh0yOTaNcis0gytDpviGNo+nZUr6eyeYPuwi9oU6xxfv+sxLEvGnL4z9G1MK/GziyMnN3LD9OWkDnQJd+AT1QYvczMO70RhkLPMSpuuzBey1HlFsIkN9HN4xy9b2zAMXJ/pbAvz2TQrGmVkv05biAg7082sbKwhYeT7HeTsnRDpuwCtGaSs6BVXdDfLJ6jGCEkjYrBQwjm3/ngbJhKOOOkA7rlluoj0878mkgLGyZ1+7uzHtX32RdurSF9EDgJ+C/hY+CzAU4Avhk3+EXhO+P+3w2fC+jPD9r8NfF5Vh6r6M2ATcMrDcRO/DLZXssYKhz/qcO69516uvPJKAGZnZx+SkuXP3cKvJ88/p1Fo+vEA331Tc8sOalFlcNwVOmchgaBpIYFQu6zQ4MTkEg3jl40fqHrOQ2cLWcKCTYLjFpwqkTHE0X3/BESj0PHKFQVhUM4i8ph2VMAKDfo2LpPWudPPIahwhMyNGJoG8wqmkrxFYhwZC9kMRgzteIKvfv9pdFMhI2Xq8EOIJGbNnHeksXjYp7GqQzeZZCFrgM2YHRp+OrOaOxd8NLvuyKMASNXQtyWc2AnwTebAad3pDzRDMDgtWqmPPeMA7+CwJkaj2A/ZIoWef5REiPXvTBQayDTEsZDNsP7A9czbWbrSKY68Uhs4dbhl/oVrRk2sOrLwAnrKpg3JdQ/z5W+WW4KyuRR7ZzCf0uwmtHqB6mrr+xgjNFr+eyudfn1g2Jdtb+Gdvwf+iHKGuhLYrVpk5+4E1of/1wN3AIT102H7YvkS++zztjeyxoqSNBI+8IkP8MY3vpHjjz+epz3tacWM4JfStP6yT8hulkd37jnSVweDmdp6h2dxeMpmDq7UmSKqGtg7gUkRnLmIkA6yRXLFeUah4MlX1pUJ4PrAokXy1dcMGCMFFi+V/armI32D4IJuTSUvUfk7DB868QSx9Apoq0zwSiWRq2RuRBY3mVOIpFHeLwlKxtD4d6IbT5K5mJZGWElprvZO+sC5dtje007/5bYddKIprBrQtHgiI+ef03FnejQ1cxEjVzJ+8iraTF1RtGbV49fzLsVIhLg4fHtjcBxRWGYZJS3WNKZxmg+FwYE2E3aFmUzDhVab4lC1TK0/iGE2h5GIZg5HSZfZdCdd9b1rG6aJtbZgvSU2RrChlqOEdyCP9EPUXyRyF8M7zipRJERxKfOQLwcf6Sd5UVcO6+SDya8DvCMizwK2quoPROSMfPESm44z0sbX3dc+1fO9CngVwCGHHLJoh18Gq8oU57a3ssYAx590/ANucPKLspykmE+bl9MHU01hjtnM3TC/DVY9uvjh+6is/Ko9vFN99eo0SAVcczkMhyAGonkPD1WKmFQjjILRfI+621cAbZUDgFa3MDgsUWRwNarlYjNqyFQQLEbTUuVZJTCE/PnTikM0uZaPwt275jmQpv8Y8hoGIdOUQ9Yso79ViUzCwMZ04xQhxjHE9bwDbjZDM3IiphkQTXonvWw4ye7m0ENFKD+YXuAp0kZkGdismKGlLuLwieOZuriJwZCpIa04/ThU0WZadjdLzQKRdpjTjJYYTNYCZwpGUPkllJH+HauO4PRoM/P9mJ4qeROXO5JlfGPFoTwNSMjCu+DbHE4duI7Z668N9zfNgOUsN8vYPriDu6fv5KAuJKbFwKmHeHA84+6nc2dyV3D6Wo/0KZ1+nbIZkVaKs5x1mEgwgVlVRvGu2Cdp/npH+qcBZ4vIZuDzeFjn74FlIpL/cg8C8rbydwIHA4T1U8DO6vIl9ilMVT+qqier6smrV69+wDe03x5ey8LUPLV1N7/HSH8UtEkqFbUOmM8aDG3OYVcWxRuF33YB3gnNt41gkgHjmvp5K0PD0vCOd+L1gaWIvsVDMsOgx35fJhjQCCNKZEfU4Z38U50l5NNUfjBYsBKegKDhGebwzpb2P9KP+sQSF3o3IjGKJVnnC7kmxEf2TUlwrQbRhHfSnWgSdfMY8Toz94QrSMxKRDOfqMYwchEbVz0DcT7RmzlD5iaLa01CFG5dycfK8JH+LBkGwyAaklcWV80FeGfBKD89/Ov8sX01TrUmi701mmQutFBsFD0LfFvEqXXraQTIpy3TxKJ0ox5zbiffTI6h71IaUTPw9DNsNOCs4QZOnXkkToLCpgpUMf2c2lmBd5KkDu+oVUxkFjv9ykDxa+30VfXtqnqQqh6KT8R+U1VfDHwLeF7Y7GXAV8L/Xw2fCeu/qf6b+Crwu4HdcxjwKOCKh+1O9iHbl+QY8p6yqvUob4/VuS5grxUCpCL0bULqchhFA1Ze8lmUkOTOD1P8aA0itsCTS0jFlOyNseeZyyVUSaVl5S4FDn/zwpCFAnJZGuBRFHHeMUaLGEJ+n3zp3UsUiOX3hY45fR0x3fsZg2SOSBIGNm/+nuCwnPTK1zEjI3rxBLFaGqaB7XaIJv21tOMe6Ag/B1HuCc8glhWIyzCs5/mHvZUVzUcX19KMumRqsIGLca+mhV6O1dLpp+Kd/lwQi+uLp0PqIj393OnDsDnDLJ1Q7Fayd7ZJh9kQG8Z5rwR1OHVM/furafU94ts20I2DwiW72RSvY0FTmqYVnL7SiAccrKv5DT3RHylk0l04rpMlIv2CvVMOCM4qJhKmA0VzcSLXLOH089zWvg/vPJTirLcBfyAim/CYfd4o9uPAyrD8D4A/BlDVnwD/BFwP/Cvw+ofC3NkXbV9y9oXlkZPWr35P96LB6eece/AFUk7FV3XinbJIjCsKnhSZ2+Ix/cD0LjpVqRJV4P9dMoeiZC6mN9tc0umXztvUltWv31tarmasltZvFw2WhKKqGH1us0sinHlzQsENZou1qUvJIqVvhsQmYeTySD9i1sW4pMluk9GKukwGWEgbMRIbtKG0ox6qI88eQrk3OL5m5J1+ZDw0ur57THElrahD6iJUvdPfohmxaXJo71gaJIy0E56JzyfMqY/uB2L97EXqlRm+MMtgK9wqr1paRvr3aJO50MM379Rl1L8/k+yg27/LLxPFhDxGbOa41axjPjh957zo20Q+GKW7gtMvI/2J+ZhGf1uJ6ef6+wbiZoQ6LRQ+bXD6b/j8j4DSoWsF049/nSP9qqnqpar6rPD/rap6iqo+UlWfr+rrrlV1ED4/Mqy/tbL/X6vqEar6aFVdGgDfb79UtjQmvjS8M1hIfVFVvgPKHA22Bq8dQI4QbUcVZyHI3JYCm0/cwTTsBJHEqHNEsVe3VNRP67XUgcmdfmbGGFAK1dd7srGayWR1AfHkaFG1TpilBpB4UBNoqM5eqpIM1b/jl6E4ImkSjfLkM4zIQGAQe0plLm0sxGTq2LkwYgQYiVmfeJ38Ph7bll5MO+qxo30bJkT6I2Dg5miYZUBWzMxWNNYW19IKkX5kvKrnPSgTyXIet/q3OHHlU5mzUzi17DS38P8YkQbdoBEZpjkDSxRnCaZQycTXFyNFqhzuHFoGK/2EPg7biSqqjmZkmWQOGyQuxHlocKhDLBF9TWmathdcc47JQAOdz6ZDbqBM5B/zs0mWbf1J8SUUhXCBsgml0qazijFS5HPywaBo1GLEzxASs9/p77dfRyt+RVTd2pJOfzatyOZ7l5hiyDn5fheP5wuQ1cqVKFoSCgZDxFRjFS3TYaAGV8Hnc1qg3zNHiMcTuUKVYiiIH0TGIJxKTS3AIoDGD3ZLyzcrPj9QPWQ5AOTzhhz7l6J1IAhpGPAGUe70fZLaSEyKcueuPqnzuPyR5h4ArrhrxFP/5iKkl9COJ/jxgf+KGs/eAbBkIAnGlU7fS0Z4a0YdMmeIpcPQDdlVceKJaeKFpi27zB28lwGRWEQMQzIanR1L5D88vJPDK5i00DLKI/3+im/j1v4rqkocHo4Bz61vTdEz86g6P0iox/fvCRLRIzegEbVwWYZ1jqmgJpphi0pq4wwqjl4/wjjrhYWoO/C44e8zV9rME7n5O2PHoJsc609a0X6nv98eHtuXYJ48iBtPl45j/ABZRaYhHyREIlZXBHCcllh7NgaHLHVMkIJ2WDrUquKjeCy3cm2VOuBFPdW14PX7v2mFO18i0aX5Tln+ZzK3iGYaBoo4xcR5WX+Z3gU/o4iWEKxIQ9Q6jOfDsTwrx0hMhnLVlmlGTokkZuW8L8TaGfe4dQZ2iId3IuermvP50kgFIQqFcIufZR7px6bLQIcMKmyc1A2JQgSe00djyTBEDEjoj5qLIn2IfE4hHEdkRN5WsWBu9X4KBjLNSHKpasTDhSe+jE3ddaEGgGJ28D1zFKcdOonVEYlp4pzFOcsy4/UmIpMUd2cCe+fAmUmqZc/V4qy4UW+k4kIiN39uZbetcnYAkDQj0mGO+5eVvg+0Vegvm+13+g/C9iStfOqppz7gYx166KEcd9xxHHfccRx99NG84x3vYDgc3v+O/2VWiV0rKonjgLaq1jjM6lzA7k2tfaDH9gMfvHD2Uuwz/kqqOmyugJA7kiXgHV3E4wcwOJeNLa8PXzVOkiyGaByQaoPtUcIdUau2cTFc6AiJ50DGz+XXp24YPpcDTBrgqEE8F87TRhUMMSMZ8bmfXEzqfNQ8NTMDwEzkZwP3ZCmtqEszjYgwxeCZKkCMcY7xdNkwliLST0yHgRsWsw0ITj9cSV4Yl5AhIswODmT7/Ko9RPpRqZNvRoDDiCkcuE38byPTtO70Ud565xP4b2v/xAuvSTlQzEiLtzzjaDR063LWYq2jmzt98Rr+AMZFvmArNKvPqcW5QJvsAd4RQwnvLJHIheD0x3j61e32Vdvv9B+E7Ula+bvf/e597ldECBqcZHhBv/Wtb3HttddyxRVXcOutt/KqV73q53r9D8SkFkFXnHoIpXbfu8D87mHQ5an8GHLWD9Qkmb0IWphuF466+PWRi68N7EJlH1OAJUMT6INF1LmnRG6olh1zflVMX7A4N1/ZhzGYyC9Pm3ezIzK4yqBXVuRSDDhRozxW7jiJ5piz8wzD/eT1CqPQsH0Qz4Z7bAIRIsKguZ2Jzj8wEsFIRGvkt03DIe8apYgIy7NJz70PZ7UBGhPNFt2Hm0hoRR0yjYilxVCHDCvdBlI3xEiEYplzDSZkQDPQKUUjIuziQB+DSBnpR2YAObUzPHcX1mVYkjDY53mIL96cw1KhxX1emAcce9By8m5dNkv9wBDem4gY6d3kj+WEyXlXzkhz9lg1KTsO7zg/ZORvcyHHXNkH8ki/OlDUKZ77qu13+g/RqtLKvV7Z9u5v//Zv2bhxIxs2bODP/uzPALjztjt59qnP5k/f8qecdNJJ3HHHHbVj9Xo9PvKRj/DlL3+ZnTt3cumll/KsZz2rWP+GN7yBT37yk4CfIbztbW/jlFNO4ZRTTimu4eG24sekS0f6o0HG/PSQ+V1Dqp2nbIiwIzcKna6q0X34EQY820ke8ZfNxQdFIZQU0ssAVmwYPMtI38l4TS7FOdw41bSAd5RodDsm2xaO44+1WOMHRLLQVjFbtM4fK39Yi/bGJNPMNCcwSRyuKkTlZoQS0zdB1oIWeZVyGpqXD2ODkQiTF00BJlK2Dv36lgsFV0VSWkEijHpsvmpzMqRpuqTOIBLhUEZj1yvitfH70uAws5NGKLh3GmHULYr084rc3LFPLv9PsmghYPoBJw/rUk1paE5LFYbhffiHM1ZiUV/1HB5oLxrSiI3ncYmQZb5Hbu70Y4kxvZ/6a4vmWeVs8Z7m4m6uWpFbMHFKqMZC8YT+/ePX8/2v3Vrj6UPp9P0sVovBY1+vyv0llne8f7vppr9idu6Gh/WYE72jOPLId+7VtuPSyrldfPHF3HzzzVxxxRWoKmeffTbf/va3McsMmzdt5j0feg8XfvzCJY85OTnJYYcdVih03pdNTk5yxRVX8KlPfYrzzjuPr3/963t13Q/Eyki/3k5QtY5tDvsZva4hBIe4rISommYtzQbsGm7BqUHVIALW2DrfvxLppxKFkn4KqqfiyKIMaph+cOAuKSYMQpl8dWPYtsO3QSc41mKwyAeeIvEatnfCyE7hzELt/kN/xPoxqCa4y+vLDERxAxl6p++AYTzCRgcwyLWMaJDLRqRhcBksa2K2jkKFL6QoOpGwo++vo53GGDFkAY7wknZRSOSWl5ppxpbd23hkNMEONd5Ro1g3Ki7TDy5eUkFwHBbtxISWjKjxTn8sRJQxTD9d/kP6249ChocWg9skj2ROr2WEJQ7uxojQl5gTDl7GUzYcwo2X7PQibWGf5fEof5o+0rdZgAv9/pHEhfTC7NTN2AS623zpmOT01mpxVnD62bCM6J1qpRobrvqXzZz+wkcB8Jvnf4d/fO3jSZox89Oj4lhxw8M9Ntsf6f/a2Z6klXO7+OKLufjiiznxxBM56aSTuPHGGwsnvu7gdZy48cT7PP7eJope9KIXFX8vv/zyB3En92PqSte1KNIvnWmjFTO1uk27W2HL5Hz9ikNsRrmMQnDIxfFyyo+tJHmLI6GudPEWyzC2Y+wdiN24gFvOGBqDd/LMrqS0kl5xhSVls47rZ86w4CbRdDn1tEG1dTsgSTktWpT2Lp9VFJ7bIE6x8SrSKDgpjdEQCY/CgDRoeRaTCc5ODvgabmILuwLkcNK8x/ytGRF1bsHief7iLFUVU6sZP16/jkbUInM540ZxthyYjUQ+0sdx1OAulpt+EdhPREMizRZB+iIGEVPrfWslh978skO6jybRhJGkJMQBpzeMJOKoAyeJli3DEap4w/FXNXNoyFNGbZZhrS0ifUPEyh2zqKaIBdOfr0y7QjRfScouhelnixhfJWxzz9yAG7fMFJF+vjwpIv192+nv05H+3kbkD7ctJa1cNVXl7W9/O69+9atryy+75jLanftumDI7O8vmzZs58sgj+clPflLgjcAiYbaqRPPPRa654thjSWlRlektO0E12hHNToKdXih4KrXoN+C8sWliAwVSCFBNJa5WV4p+ZXnc50Hz2jGzSCkwjeK2qw4YCMdZBO9UovN23GOQ9VGUuNVGUnCxoFn9UOX/pnKcClQk3tkuHqxD4llswP19ve0QWIhTomQ1qezw10lMFpx+nuRNjfUReBL62XZup9v6KXO8FYDINn0kHO2kuearZNNvwmAQTbFSNmaxallIYiJRMvWO2jlF0n7hAaqR/trU1wXkYnTtaIDBLpJWllCGVe19ayXIXYfnvnbiQJrzTUaS0cY3nhGEIRGHruwg7TY2AEX5C3XARLWTmsFZh9oUEV88FkvEEbdNkzW/y0rmOSo6hB9kfsYvmvlZaBHpe+ol1KtrM1WsGQHl77Fg8QC7FlLWNb18g6tE+vn++7Ltj/R/DnbWWWdxwQUXFEJrd911F1u3br3f/ebm5njd617Hc57zHJYvX84jHvEIrr/+eobDIdPT03zjG9+obf+FL3yh+PuEJzzh4b+RisNsS59EKlyXKrwTBpxRf7bsi1sTWCuVLHNProQEaOHZCek9r8dppeS3i9ViH3+Iaowti2iZIIzUR/Hj8E6ZyFUiMYG7j/cO4qs7a/TP4h5tIeNcnDccy0epQWStGMSq25ZOMQ7PtJ+k9FoHYE1IPGqMDbTNUd7/VlIiiYineuFzRiT3MgrXN7QtHwnLCJNMk+EjY+NS5iWunN2RiY/qM5f4gUIsTittOiUuIvTYpkiWoiFxaQQiskWYvhFZItL3g0O+ZbfToiVNhpISS8KX1lzmISkRHrGy63WQ1IX78PscGPrQ5vUY1mZIRfspb/yi2uf03uk8cvJEHrf6t3jqupeAZJ5WuZSOzqCM9FOndB7117X7yZ1+fMC/cO/sdMHeKZYn+yP9/bYHe/rTn84NN9xQOOJer8eFF5YY/njS8clPfnLB5nnuc5/LO9/pZzAHH3wwL3jBC9iwYQOPetSjOPHEOiw0HA553OMeh3OOz33ucw//jbj7iGgqJbpOFVRJXJ+UJk0GoA6nLSJ6lZ1yZ2j8oEH+LPKBwis9qjpcgQpDZDO85HAeieXUxxL2qT7RPCkLVZgov+zKHjNzJG0PyzjEa/m4eVRa5NILEY4DhtuYaTYKbL04Vj5YSd40fOkKDBHL0CodhDDE0E9GLG+tIJNcqyjmA6Pn8/sGUpOzdTKMadNZfwDcA1kYDFxe2EUHQ0Rmhkg0CNWwxquBVmoDUlKS2a8DZ2M1QcSwkOzmuiO/CpsfB4AxPtIfiWXVAWu5Uf4/dk0+luPuOQoRg1G7aDaZR/rVgdWK9dcQlk22O3TiLgOTEklM092FYEgRHrHSR+42zP3yo6xasSw8k/B9uwwqPScKuIuo2GYqWU0vWYbqZo/Zu/zZC1sXgmhgBd5JVYsEdG5FRL/yO9w0fSqnNk8jS13RUauM9Pc7/V87W0paeXz5ueeey7nnnltbL9PCly/7cm3Z5s2b7/Nc73nPe3jPe96z5LrXv/71BTPo52HO2UVTwRGGBo6Wm4VBDMTcPT3g0IalgWNBGzRlACiZHrToBfOOXgAXIvRKUlYdSoLicCHSNyLEWQqmXYv0oQJpLQ71yYeBDBlbWuLtMr9AHMr4nVY4/9U8RNCA76QZaVR1pDEZORtFw2ym7gzyppCIpZ/5zlq5059PRsSDGxkGB565BAYKHRgGeMcywtBjct1KuKdM8E4ecA9snSR2/hlkYQaWNRxmGGF0VMBk/hlkZOKhQavNgnGzs7WLL8k852gXY2JEDdMG7jxmHdfN3c2q6dD9Sr1oxjgwYCTyTJ0KvJNJ4Omrj+An2y26jR4zjZQoTThkegZpC6mYwun7b70cwNsToelvrp6ZuSLSd+qKSB8xBS6fmAZGYpQMZ8tI/5Yd85zzye/zh3GnhHecMnSKM+V1R3GAkVAQZddgmrgbEuhhv8Lp31cwtA/Yfnhnvy1pzjpmt87Wl1UajXfcDNHMbcW6wc47scCAUMC0RHVtGSmWGui1CF0taFRE+mEnIhukigsJ3fGE6TickrP6IZOIen6hAu8QkQxG3unn68fhnfDXihBpUjuOzR2rUET6ZVo4h6y808+LlaMC3slYZvpkYfZwz2A566a93MKoiPTDgFMwmkKE3/F5ACOxj/TD8szYQJcci/QlLQaMTBsBSrEg8MFl3+YOGfpIXwyZWL6b3hueXS6IJxh1iyJ9kwuw1Zx+cJAS4XBMtVpMtSaZawyIJJFuoogAACAASURBVOaQXSm5Xk6n4Z23Kwq6vHW6oe9v/o6o8z0C8NTP3OmnjfkCYoxNM9CC0xDp++Xf+uk2r8wQ13V0htZVvnWIGwZntYCqZkbTBXUz3y+PYPb1SH+/0/+vNB37+xBs8+bNrFq16qEfaA9mrRZlP9XLdioMbV1WIBHLJPPsiKIKa2SMGYFWXLFQhWoqgspocAgqoRhqPF9bOXKZWJVFjzTfPhuDZMqkMCTtVSQ0QlK2MjDIYqdvEJparcitn1UCZDVuHhKqScv56zIZkzIgrUAVuRMdhUg/y7Xmw+AywoI0WEhyp+8ZN1mIWDNJA7QyBKqRft3pCyb0ngLT2O6TryYKyy1Xh/67hbyCGqIA7/QZsGN4N7M6U9ReVJ2nNaFQSyIclql2m6n2JKNoQGQS2ql/JnEOa6mGb91gwvNrtevPGWuR0DlrpFkY2DzTqIj0JRes89W7eaR/6U0hlxYLWSWR28+y2ksVJ4ZRWh5vNp0pOmvlTn/ulk/ziOaV+53+fnvgti9o76SpKwr8cz6zIswPJ5nPlhfbtcwMqxqe1bMgEtKwPgFaZc64oLEJFJFeftRiufptgrgyKlnFndQHCgBTtDocx5rHIv2qQ6+wdyI1RKZFPvTkyxdX5Xo5YEN9MJDa/wGyKpZQwFMi5RHzgSoV7/Qzk3PXTRHBDsNApZkvuEvCIJvGbRrJCobGR+KxeJ5+Gpy+NWmAXNKCveTPNSryAZlrUtPLMSMcjsgEVo84NjkPU+ZDVUYLEymIYc7Mc8ndn2arbCsGKZXq9xy+G4l9NJ80WDGxnKHpV3j6EW1G3DZzG6d97jTSqF9IN6gqzZzhlg++1nkxNbzTBzh62RNItIR3IpNLU7tapH/T1iBzEUkt0p9J60y4qBEx308LGvFCNksUErfpyDJhtvKi3v/hWcvfFarP913bj+nvtyXNWkcsmYdZxBUsm6lCtXE7AJPRNjTLo9cygZe7z4Ivn0f6eYtB9Xh3Dob4o7uwzBIlKVoRakMoJHwLp59H8eOYvpRbWYmozzpMsUuEEEXNMkcQttwR7ybNljHlWpSuXTE2q4RJ1aFmhNqk2I7K0SJRUiieRQ6ReKc/Ig3Kkd7peSc6FFAi1Hq4Jwn6C51oAZK1jBa8Bn0BcxhLV5pY8U1V0BRqidysiPTzRG5BszQpVmw4vyngGSihmqFrYxjVkraeThpYNFV5ivBdRBJhcTSiBr3mBNNmNyJSXHPHDHjdJa9jNp0lNQMM7SJ2b7fbtSeJc772IIJBqLs4dvkTiedvXDKAqmL6ecBija/IzatrZ0f92j5RbEgzVyR3h26ujPQHlg1dX/g4na3dH+nvt723fSHCz806JSIrJBJgD/lSSphDomb5vyrVoiQX1Be9mdDarkGVvSNhGycWF23PD8705HKcqcBMuS57TX9n6WhfqWvzlJG++JZ5RFQ67gHKwIzoR15Hp9HNcCYico64UvAkxT0CMla4VrGoyDWXjCPwDnXKLJCaPBkcFXDJMPI9ZnNHrUN/3mXxNKsaMRZ/bXHY1xlYHvfJzGyIvutOP5OswhJqYPA0S6WBmCFOLJExAeuvfGd5pa1rETkXZgL+PqyxJbxTvffwnUQS43AkJqHX6DGKPGU0DjDMfGcbt8/e7o8VCrp8pO9oNBp85obPsK27JVyIQ7KQz9D63M+OFd8ZHM66ItI/4oAuK7qN4PTLCvC+GxK7GCdlBW+WueJeMuYL75gOLavin4Xz9/Y7/f32q2nOKkYyVEzhKN2evD5BAiD2Tt83SalQMQn/SqlM6VDUNbzDDJsYL3RTQi1BPTFtBYx3LNIvB5ilErl5wnZckK0sqDLtmOBqWJyJCLBB03mnLxHtqMds4LuH2ymvo0r/EymurjxugFMKp5/Rc2CjSqQfouCR8efOE7f9gcViaUeOtXEZtecONIoGPGMqJTPzIWIfUYv0JaM19OeJQh7A4nDRSpARKpbE+NYnkU04+7o3IlpG/dY2SVLP089drMUV11vTHArPxMM73ul34y7DwDBKjOfg3zKxjdPWn8Zp608jNWlg/Hho7St3XcTfXPE37Gj53IVomWrvVwKJkR0sqsOIxEfyeWOUJz5qNd1mRCqQDl2pqGlSXnDFSczha11s5rCZKxg9Ei3QD0VY2cgShWeeSH9/cdZ++9U0l0f6lVfEVdoGjucsU5HgUDwuX2pQBqv+mztijQv3Hc5Atf1hvi4WArRgsPFqXIgmy0lI5RorMb9v8ShjOeU80jeYhgkFV1oKdtXOHWYGQe0SYJfp1+Ym47c33lTSFIyjoPsSB8eOMjHsIiYpipOqkT6UvPzhwEf9HQNHRXeUTj9E+hpZjm1bMolDQnkc3knpBjQjp1laccRmORKNGCS7iUUwYpgYrGbd7CPpjCbIgouXuYxIFRdDJuVMJSrYO4udYCRecjmJErqNLsMgLJf35E3U8L+e9L9Y0VxBarxuf4SfEV646Z+AMpGM04IMtlB5vnM6XCSzIeLf3SzQKqc6Cd1GzEg8vJPPAJwZ0dh5L42dPj/iMt+HN4tned5Nz2aZNdw543H/dGgLUkMig/2R/q+j7UlPf28tdwyf/OQnufvuu+9z2zPOOIOrrrrqQV/rgzaXIaIe3ikSuaW+zfhrn4lhsjHJpltv4Tdf8gaOOu23OOEpj+dFr3kJm+65KTjoHIbJE3CmwPrBv4y7p3fzsU99MpxD2bJlC+f9/kv8BiKo6RV7ROFyRP1xZ9PdzIuHPupsn2oCtpJ+FalcSbkYSjgm0wSMFPkD74jqJFGRXKatzkZSKBLbxRML4mhpZGgPe5jIN0KXisbOKAqwSp58HXkn2zXKIWZXEYFHUqpWZsMemWiQU8iQChQ1koxe8I05pp6J0DYtTGsL0/FubFDMzDH5ZtYt4B0TjuWMMIrgO8dtZ76ZFjmIaqSfn9ZU4J1u3C30hL6z6skAJBrRTbosay0jNSkixg8s6tjS38obT3xjmWx2jryquer0nbrFkT5+lpqLol2664NIexMj1ZqOjppRbT9rlSyzYG+ht+kajr23zScu3+y/h6HFhHvc7/R/TW1Pevr3Z+OY/t44/V+U5WqFNUx/jKcOYEP0P9FeQexiXvCyV/Cal76An37na1z9zSv47y9+Cffu3OZx20p8nE/Xq5i+s5bdM9N84lP/WKxbt3Yd//C5z9cYOQXKVMH0QUijLgNGxWdFMeIZPJU7C8cQMIIEXr4Zi/Rzs8S+4pbS6S8mdFbgoTGKqckHEZM7UP95ZCK6w0mMiQNUUkb6oxhmVr6WmckzAYiyiJGkdIzSsy0E32oyj/TXbH8sd1/+alLjZRgyNcgYT78bYJU4RNre6TdD7sAGYbcSymtlXTIT9O/Dc3aRYAU2HTxPZsoiKRXL0zmDj5z1WTTcYERUw/TzSJ9uXirr/6xorWBkskDjLGUzfvuI3ybLI30tyz5GVW49wsKY/zUEQTXr6Zc/XfgWd7bexwJ90lEJ72DqiVybOUbZiEY6z8ZVz+SA3XDPrN9mUaSfLZ2/2Vdsn2bvvPPmO7lurn//Gz4AO7bX5q8eddBeb3/66adzzTXXAPDe976XCy64AIBXvvKVnHfeeWzevJlnPvOZPPGJT+TS71zK6rWr+ciFH+GL3/giV111FS9+8Ytpt9tcfvnlBWthT/ba176WK6+8kn6/z/Oe9zz+4i/+AoArr7ySc889l/n5eZrNJt/4xjeI45iXv/zlXH/99Rx11FFs3ryZD33oQ5x88sn0er2ieviLX/wiX//61/nkJz/Jtm3beM1rXsPtt99OlqZ88C/OZcOpp/If/3kVb3nH3+KIMRLzjS9exLKeLzpacMtotgY0WlN89sLPcMpjT+DZT3uSd+UCp592OrNxyk133MJ5r/8DZhemiSThf/7ln/OIx5/KZZd/h7973/tYv6bH1T+5iWMfcwKbb7uNc844hzNPfzJveNlrec7TX8SPLv5PMmt57zv+hB9e9i0YWP7bf38lb3zRK/jP717Gu9//btYccADX3XAN133zBwVLJjZCVslFlAVGXjohl8wp3Xf+N0T6xGA0QFJVLZ/qMetcnurQFuUBfgJkkKvSjEzEVOcAYrbh8OyZxDSxahkZZdg9lflhBvSJs5hMLB0DcTrFpE5jJSMOkX5s28wPO2SdwK/XhGo8N5KMTrMD82Wkb4loiM+VpJIioYFLPny1si7O5HkIQxaBMZDD2VZcQZNELFPS4eDJI4tWg0YihmKJxNBJOgWmvzraBdlhxeNb1lzGtLkXX1/g+TtTzSnWdNcUz6qKJfZrTn9xU8gI8YJqtlpyB/OyjWy4rqBbdpkv91mb4LZbXJaxJl7G4Z0NHDb/M7IgyFaN9COxuPSXqbPdA7d92un/oq2qp/+DH/yAT3ziE3z/+99HVXnc4x7Hk570JJYvX87NN9/M5z73Od72t2/jDS97A//2tX/jra95Kx/84Af5u7/7O04++eS9Ot9f//Vfs2LFCqy1nHnmmVxzzTU85jGP4YUvfCFf+MIX2LhxIzMzM7Tbbc4//3w6nQ7XXHMN11xzDSeddNL9Hv/cc8/lzW9+M0984hO59vtX8oLffwHf/+6/8d4Pf5oPveuPOemk36a/MKTVbKEI2+ihbgqZXEWj2eba667l+GOPCWh+zsv3P74VK1dy0We/QhpNs+XOWV78+pdx4b9dggJXXf1DPvGNL3DoIYex6Xblmpuu40uXfonV6XJ23uZZPILwmc9+hompKf7vJV9j/e4Op//O03jWaWeiwI9+/AMuvfi7HPTIFTXBnSQy7LaOyKR0xuWXDThjwGUYV0fpczdj1TM8DL7BiAf/60wccYLJ2aMVsEiBKCSZS6gkvDsmItk6Q7wmwuIj7cT41oqaUwWDA224BrNmnq5RzKjLpMyQSUar5/MVYhPssEUWYCGr8Vikb0myAwCKgcIZQYZ57sD6xiqxQW0LcLTSLnMhqWnEMOwoMVHZbaraWyDKMKoMU4tGOWUzJo2GvPTDn+Dljz2iiPR7TQPDcvBd3lrO9kAZFfGU0PW99f67CzNLo2UrxfnWDnA+KPN3WScXxCI+0s8smSzwe988gisevZ2+eAh21PcvR0NLp88Bgr3XoZnSCTPXZVkXF/WBKdKh9YJzwbJBvVJ9X7N92uk/kIj84bRcTx98pP+KV7yCD3/4wzz3uc+l2/W6Ib/zO7/DZZddxtlnn81hhx3GCSecwKZdmzj6+KO56/a7HtR5/+mf/omPfvSjZFnGPffcw/XXX4+IcOCBB7Jx40bAN1YB+Pa3v82b3vQmAP5/9t477pKiTPv/VlWHk548eQhDzhMIQ4aBIYjCADLqu+gKgq5ZFjaouK7uqis/RHFR32VVWHHBhAqCgIwiQXKWNOQZwgxMevJzUndXvX9UdTgTCK6Ksz/q84E5T4fq6j59rrrruu/7umfPns3s2bNftf/f/OY3PPbYYwDoKGJ0fILRiQn23XseZ33+a7zrxDUsesuxbDVjS9JygQC+ctZjFNFObCHzkkxIf6paJsRxmw9/+uM88MgD+F7IU88+Bcbu33vuXmyz1UznNC7wwy56RwIYuOnmm3jo8cf5zZU/JdSK4bFRnl72DCifeXP2ZOsttyHBFihPHcK+kgyT4MkJKjrILXIhmRhtU28qAl92Op1xFwRaBLRR9Is0bb9DIg4A1aghauuvOK0vRGqXXZxG77hVRywlydJn8afNsuGsQqKET6xbGJlm5tqeyknIkBqhIg0qqtKtBJGIqHQJGAGhfXRcyqi4RHtZ4hpY0K8mdhWZhXlioLoGRq3DWOjQUV22leIqY55LZgpDGkGCMiIr2VgM7RSu8EqjGaM6QL/OvXMPZeWa5cx0lv7otH1htIVMQT/sI3aO3DQjOAX9wLgsW2MyZ8Fw3yOwbo69l46pzX0XSAf6mpinCZoxB/2+l7t3tqDfqlvwDpMJ5vUvxGB4OInwDcRJk6rzW9VMBVV6FpiWWfpp1knceBP0/3/XNqan/0qFT8IwlYo1SCVpt9qbPHZTbdmyZZx33nncc8899PX1ceqpp9JsNm2R8E1o6b+W7UWNfq11RjONv7icqhhinajxN6d/lLcddgTX33g/hx5/BNf98Gp22b7kqACD50Bq+2224Xe33kpbS0oydWYatDR8+9vfZcqkKdx87bVUVT/d208mXQlUKxXWtSv0+rkzVNGXiYYpITIQ/9S553Hogr3Yvt5DXUElgetuvYVKpVJg/ckmnJRuWF+vJ4x86hP2e5A6hw6RxbPbZgy0vQAdJSiR1gF2sJ89xk6l/Q6qx2hAZbV6032RJxFjbQIprKXv6J1It8BPI2RsHz6ei94xqKRKt2eBvKStYBkuMUyYFND9DjhsCU3JAWjq/E1kQiDzSBzPSIqVdUtRFZQd89B2M1ke3ooakpnPIilQJ+WJHag8uzXj4/VsspFCEQvN1NUvsXLyVkwacjpCadUp9w72lnppSyvHLF1G8Ba1LdxYVeEbS6Nu8t+ZJ2ROAbmW0jtRHJOYZdlTkLEN/2zV7eTj6XF27LEr7IuWP8+BTEfHEWWnHVVWNeav/RXG7E/UShAi4uV2D72yTtKaYHNubzpy/0jtkEMO4corr6RerzMxMcEVV1zBwQcf/IrndHV1MTb22qyG0dFRqtUqPT09rFq1iuuuuw6AnXfemZUrV3LPPfcAtghLHMcccsghXHbZZQA88sgjmd8BYOrUqSxduhStNVdccUW2/aijjuKb3/wmAJKE+x99EpMYlj/3PLvuPJu//8iZzN1jNk88/WQWv2KdpQKdJCw65i3ce/8DXPOb32WrgOtvuZknnnqS0bExpk2ZhpSKy372I5IkASOyZJ9YSwySrlqNifEJMGGWvYv7/+ELFvCTi79LK7Gv7bNPP8VE3f4AUzAqxQ4IRcot55OP7cf+XW6HGNNCKY0ohKLm82GeUWBJe2WzOzsiQJ0D2pBFy3Tm46YOYpnRISLz9HqIeowvREbvRF4vL/SOIZTkX80n+YD4enallNP3wxpdvqYtI6Sz3tEuBt/9mxi/YxqKhCZIi7enoK8MvtsWEeMZZa1kA1o2CZNJmLQQSyiohxqPXPagWDilOriAYNUsxscbeDK39BM089dGIAIiLNhWszh5O77+sJ+2irOMZF2w9FMvuEhZNeC54GV+XnnU7VaF6CjbUnqnHUfI9mC2d0rd0oQZvRPl+vwCa/joRFMR9pmG5QFmrTYYPUrUSnh4qJ8fPjObG1dti25t3pb+m6D/R2p77rknp556KvPnz2fffffl/e9//wb69+u3U089lQ996EPMnTuXRmPjDuk4jgnDkDlz5jBv3jx22203TjvtNA488EAAgiDgxz/+MR//+MeZM2cORx55JM1mkw9/+MOMj48ze/Zszj33XObPn5/1ec4553Dsscdy+OGHM3369Gz7BRdcwL333svs2bPZ6/CjufC/f4pA853vfY+9jziSvY86gLBc4i2HHQkI/LjiIh8FjfExSmHIDy++kO9ccik7HbSIOYfvww8v/xG9k3t576nv4dKf/oCj3/52nlr2NJVKBct15/eqjWSgb4C99tmTYw8+iH/9wr9k4AmC97znZLbdaWfeueBI5i3cl7/95BnEmc66AzWdCm/ZCSlTX07pleLqRzcQIo32wZ3XGaefZt0qckkHI0yHoZ+YErLetfEv2QgQEmGaHfAkpUdkJKGwVrMQklD6TKgGCsl2PM028ons+EjGVKUh6O6n5kc2cSu292rchCO1o9l0p6Xflgmqy0aJpfROIjRhCvoyRiLwjJXFCPw6Ss0D5/T1dEyERpm80ElRriG9r+HrV2LqLktXeWhhmGNmghDEDsAr7utK3Orw0WvXUG3322csbZjnjNoM++wdVVSIGqYtI/5vz50M6bYD/c7mIW0kTtRGNSeIZ0zFICg52YWobd+DUqEekHKgL6I2ZWXp2YpypTQd6D871gPAULuMbm/elv6b9M4f0Dalp3/WWWdx1llndWybNWsWjzzySPb3+z76PpR74U866SROOumkTV6n1Wrx3HPPsdVWWwE2xHNjbZ999uHOO+/cYPuPfvSj7POCBQuyz4sXL2bx4sUbHD9p0iR+/OMfE0cJetWTJDJmIoYvfe6f6fKreLLGuBknFKkV7hQxjaE+Mkw5qLDnTgfx4+99j16/CWJL1qkmY+EQ5Z6p3PfrOxiPhqn5vZxx9scY1oJD9lvAcfsezVBrFWkZxfP/46uMyWlMiltM1iXuvu9uxBpNIDVf+vQZJGf+M5OwwOUZyQH7H8xeh853RdlTxt2Cvk5rH3YWuMUeqUmSCF/kUVPClTVM6SDpQnsU0HB0lskonHQVIRGJRBiJ6bi+LTOexhum5xkMSlV5sL9GSVjZCYkkED512cBLBddkwXkoYsoCSr3T6W4ZIhEjYpec5Y5ROpUqtpnGaWsLg5j0OLx8TO7IFSYD/Szu3+keed4YldZkhIvOKSVtImGVMNOFSrEAScps3ixgWntrAHwUiTD06GFgmpswoeronUQp2o2YB5e8QH+/teyl8IjQdAVdXLNmmJW+XbVJXaDFVAI6IsZKY28A+sJq6MRRhEgSTFcNHQxTilogrY5O7E3QH1fz7xwbjWOiCcqhNYLK7p0weoSoFSO0pOr14AmoNJ6F9gQEVTbH9qal/2dsr0d7595772Xu3Ll85CMfoaen5084qg1bEhuk0CQiF9AySIwxTAT2x6CRGAO+iRlbs5YkiihLax1Z3RUHXLpObJKM7hEZ3QLdWhIkeS3XNFxQY8glG7BUECC0wo8FfpLG1ucWulkvKzSN6x+On0eIKOPti3y7H3joONogu1gUJoguCR62mExLm45963tMgqS0wXatDSLLXM1P9IOpRFFMaCDG1sItCY+6auKlmjYF0NciRiAJ+qbRpQyxiFGOy3dJpvivQO+YqQ9bNc0CvVOSnZm/YEMgPW+CGUMJU9dacb1J7TGbF2AkQeyhtNfB6adPZNdnWmy/0oK+RJAIw5ReD08bEqnQGGouZFIrj7UvWprEj5yTWXhoobl+3QQffHAZ46bbfR/5o4uFRoi2Kw2pNrBaFVYiOY6sZa98Hx2GhM6PFrVimsFyuhr5+KWTsJZJm1BV0cJQIkAKhWaIuKWJjeLYLT/EnpM+yOy158O/zYCh59gc25uW/l9IO/HEE1m2bFnHtq9//escffTRf5T+b7rpptd8bBJrPBISIYlR5CoyhlhJHnnoUd57xmmAyUDEDz1uv+rmrI9isRJjNFp0gq4WEJj81yyEsDSFsPt8neSgr2PAh3Ytk/u12a4FeF3Pkrf92W2hv5Zye3K6Jzs/qJSJ2iOd59npjQzKjMFzfWsMSnsIozCsn6Bj8MwkDPXCNYwNqfR6iEw/pkW2vRRMJopjSsaQkOALSUl4TMgGvkmFzHIwNjJCGEW5eyrdylr6qTWfWfruvMR4HaUd215CKIzl7h29EyQh5balh6LCvWg0nquyNf/hbaDXTvyR0ARxlan1HnZevR+J2pDeWf9zIgzdFY+eyIAo2SQxF/4j2108cbeVQAjiCqjUD9DkgucH+Zs7DNuv2g16LMWW3k0iE5DtLKFNrGe3ekIRRQlx3GS33oN4WUhWlAcJJsYwJUO7lSDGn6EsK9k5u794K3EJwmqPDU+txYRjHuVggAk9Qtxu0+fZyazi9eYXe+wXcOAn2Nzam6D/52yvYOgXHapvdIvbCWUH+pg0JiYtJSjZfZfduPmaXxHpFv3hNHtSIXRGkAN4lnmbZcXmoJuSJSkdki48EwG+SVDa/h0nDvQhC90zhesZcku/0w5POWttHa0iX2loYShVa9RHRjtv3s1DqUVvjM4ohAQLltJIS9tkk45GqASvIw/AjS1N/BI+plCUJlQhfqlCiK3W5MsSSkjqsknAhpa+kTECRa1nV7qk2SinrtxqJtJBBxg2goSpE2+xqwPH0+/6/J6sfHFv2Puh9Sx9zeT+u7k/nM+2q9LCK04mudVDA/CTEona0NJf/7MGusse3ZEhEWVaIqKaeIBk28d347HY+RncCkk5S18Zj0kvtzuymzP/CRohIxJj8LNi7nnzMku/xe59B7L7OIxXZ3Pb8E9omAmrqZ80KQXTsnOkUMTNW6lW3wbAi+0VbKu2Zq+Bhdy89iZM1GZaeXcAhlovMzN0Dv/Weu/OZtLepHfegPZK4Z1/CU1HDStcJURG2KZctN5IGGhq0SZpAovIY/jT6JzUo5rRO5mDlUL/zsYWAmWg4uiKdvIaQlzXt/RZb441aRRQen2N8jxK1UqngzXxCOIy5bZ1zGpjsrq2Bu10fiBRkmaY/nw0QsR4SV6MJc3gzRVHO8d46G+n0T35cMpak5AQOsuzrhqE6TRTfE9kjDGC+6/6NaEkq4ubjhFAuWIrsdPMH2SIh8MneLpviKlmkQ3NFKkfQCAjC7bFCSQRCdVgDZcf2AWuMlViJEb7WRjs1LGt2euFY/JHW3zMhb8SYaiEPt2RRssybdHOHLlFEiybtISHMXDKbS7EuSCzkU6800a2pxIHztJXnb4L03aWvkbE+fOpUWUgnIFJhomaCZiYknPUQp6wJt2K54fjJV7oXsv0cCsqAqRIqPlTsvtraUVTlGAzjeJ5E/T/jG1z0dOXieVDYyEQOodljClYX3kd2AZNZBVGM9nhPJ3fAJ4O8EwnvRPGnYUyhBD5NZD4BYo+dkWxN2ZRZkTMRpQeO8se5oS6cfuElITVakfPsjFAtTkZLx2f0Rm9UxGt3IIWVsc+7VHIxIVnFnwGOkDgFbalk4ekb12ZwdU7UdaaWCQEyl4vtfSFSz1KuXMhY3Ssuf3yyxCJjyiuAgDpraNr1FJYsbGa+YNykH/c9t9pem0efeA+IpHkypxuTFIr2qqgnorGMwltXxBWhjHG0MZOxOlEus3Q7I77LM5Nxc+JMHhhc4yIEAAAIABJREFUQFeiSWSZlmxTTvIw1xerL3DXbJH5JKTw8OISk9eBjp/P/EnSeFkU1oJnTuao5YuwVZRlRzRWA+sEjyONcVFdj/Y/Z+k0VUWburX0dUyXn1d/U+uBflNInp0YBqCERJhWdowSPnes3ZrlzQFovmnpv9k203b99ddz/fXXA3YV4puGs+4KoOnkkLP0HcuBAHYZP5Y08qxTREbDaKHpa0ylUg/zfYCfOnCLlJCLBupp9hJGfs7pZ4Uz8vF0TJ/CbCI6pzB+k5ZWTPfZQt9SqY5z00+pBamNzvRzUOTOY9Npq8oC3dGZFFchydQoNxxjZaiHRCQEThBtQjaQSULUNIiCw1TIGB25ZLV6H8hO52tz6AZInIJmWh2LtF6tZNWLKxy9k4K+K8zSmE7Ly6NQtEhQLqbeL61FA3WhUdqnsPDr0LwxMo9mW9/qV+WAbm2IVYWWjKgm6fmGfbfsQTZfyvpSwsPTISt7hugTDxBnxXJMVj/XAGESYkyCEp1RSg3qeCii2Eb42JuQtL2EkqqCmSBuJ2xT2o5Z5R0Zd+9VOhGm5TAbQrGsYc+vqArSTGTS2p7wuX9wJtc8uy1xY3iD73NzaK8K+kKILYUQNwohlgohHhVCnOG29wshfi2EeMr92+e2CyHEBUKIp4UQDwkh9iz0dYo7/ikhxCl/utv607aitPJxxx3H8PAf9uWfeuqp/PSnP31d59RqtU3u++AHP8htt93Wse3zn/885513Xse2WbNmsXatTVZ58MEHufHGG7npppt48MEHMdowMbqaCy75KZVWb+YQTOkdmazO/hZA/042xK3RjgtUTW5JagxfOf/LfPPbF7idOSAOyU7RYxAsf+E55s+fg9bF6ArBPkcfyH0P3scll17ET372QwDef+aH+Nk1V2CAdx3/Th586P4NQMfgdUTsZMSP2ySVU1xbv2XJVsbp54CRudqmQCBMusowKAf6adhkei0hvAz0U5pHFRyn3XctxI/zkNG6ahIAOhII7WUjn9TuZ+0S+1MKH1yUWcG40ev4JVqhjR/X2rdgaGy5MSUgiiJikStzpgVxKup0Jip5PokmwXM0nQqHMEBdWn9F8Ul1WPeqQSqvPOEXqSKDVwrpEYKWV6EhW/juusPliL1eHuDwZFpmSHjSByMIq7BgYDEtP3LPLU+y08BoaR2GVK8nh7C6qOMJjyhKspq644lHUsJa+kzQbiZM9ifT1E2+Yiw9k9I7qgD6T0R2W0lVMXo884VkInPA0mf/91r6MfB3xphdgP2AjwohdgU+BdxgjNkBuMH9DXAMsIP772+A/wA7SQCfA/YF5gOfSyeKza0VpZX7+/v51re+9UYPCYC77rqL/fbb73WdM3fuXM455xy+/OUvM3fuXJJYMzY6xLe//2PKsptS0FtQkTSZM9I2Z7UHTq+ECQeCOadvRM5z2zNymiUVNbCnWNDfasstmTF9Jrc9cGMGjc8++Sxj42PsNXcvTnnP6bzzpL/qBPeNWNBuD+CjtLfedXIrXUq5Qbhnemb6QRl3B0q4WPyiO9rOY5ngZDEuExBCkceebLzikilo30/IBjNf2IkXbvkn1j59CL6LtaiPTmZiVDBz512pj/joKJ8obAH6hMRZ/8JVx+puTmbG6Pb4QhCZyBU+cQ5xB5b9jRm0ve58LEJn4mK+amAMVgwuSVcIucWdtwiU9bvUS7n/RQNt9Ty6/xoir5Jp6gNUkxihBPOH/axCmH0Wmh3MAP70Ku0wvZ+Cpe98JIIYKaxez4gZ4dbgSbx21Wr+tG2MPsBdKwXL24KSV8M4R64SishEjGalHX2MkNmk3BCSR7wujLG0kDFjmaWfPT9geKyzuPrm0l4V9I0xLxlj7nefx4ClwEzgeOASd9glwAnu8/HA941tdwK9QojpwNHAr40xg8aYIeDXwFv+qHfzBrT999+fFSusgNr4+DgLFy5kzz33ZI899uAXv/hFdtz3v/99Fh28iLcveDuf/PAns+233HILBxxwANtuu22H1f+Vr3yFffbZh9mzZ/O5z33uVcexdOlSdtxxR5RaP13lldvXvvY1dt99d3bffXe+/vWvE7fbfPrLF7B8+fPsc/SBfOZLn0dI+NqF3+CQ447mxENO4l+/+qUOTt8LfCbXPLrEuANEwVe++U12P3RP3rf4/Tzz7NPZ9ZY9t5xj33MiC49dwHtOegtPPv0kkPsIDIYTFy3mF7+4IoPIq6/8Je86fjEG+Mr5X+b/pquGtK3nW/71zTdwyPELWXDMUXzqlDMJ1tY6DjamUFFXmI5Eo401aWxEkZAil1Egp3qEACkVYXdaG6GwthCK0GV8bszvAJ1TQbU+hUnP70bcmMLapxZyq/c4S/zfMy6beN0l+qZvwUhjsCNHAZFQ6+tHqxQkU5liSbXdS82PGdhmS5vMJgqWvtDUGpq4YL1aeicF/ToGgULiJyGCDYvTAwgZIbwWWkCzlBcUMsKwcvRCKnItRubVswBCA5NO3Y0Kmkh2hox2aUnfO3ak5dlxjAtZyKy2/qAuPZpVAXtOLOd2vQa0hxIecbuFcFpHLSF4rp1QUjWMqRO1bKhrQkLdgf7CGe9mn4GjSaeyvvogw16ZhmhvYOl7BdBvNV6/htZfQntdIZtCiFnAPOAuYKox5iWwE4MQYoo7bCbwQuG0F922TW1f/xp/g10hZJmom2r/cvWjPLbyj7vE2nVGN587brfXdGySJNxwww2cfvrpAJRKJa644gq6u7tZu3Yt++23H4sWLeKxxx7jS1/6Et/75ffo7utmZDiPDX/ppZe49dZbefzxx1m0aBGLFy9myZIlPPXUU9x9990YY1i0aBG33HILhxxyyCbHkko8b6ydf/75XHrppdnfaeGWjclBz5+7J+ec/Ql+//hy7rn+NsY8zQ1Lfs4zy5/hxqt+RVOHvO8D/4fb7rqL+ftYukEIge8SfYyABx5+iJ9ffRV3/+pW1rVaHHHsAubuYVVJP/6pv+Nb5/w7U7baliUP3cM/fvYsfvuTa8gzXA3Hv+1EFh57Hl/+XAyBzzW/uJYf/8d/28GnSpBFU7MApmvXreOcC77CdT+8iqSq+fdvfIcLv/st/v4MO9FmAagpiBhtLf1C+GexCQRSQ2KRvWDHF2x6AUIphMnpiLwvyTRWkBifxPdQcTk74q0f3oNr//N+dAFIpg7vgJEJU3a5iVWPHslTPE6iGsxpbEl7oJe+6TNYdcdjTEp2LIwyYf/FJ3P7bwdB4xyctgpWGJdBDjFlx+1pPqMLyXGSsHuEWjMg8XJDQROjTKFKFOBpD2k8W5BGJeTst7tPESFUm3ooMDLXmjcYxuoPUGM/tKzREgXuXySUduhD9Pi0C6qVxmgCafCnVzEyAW2zoUN3RY1NghOijhQK4/IcgqSEMQIlPdqNOlKnshsxgxjKqupAP0EhSYymKIyxXddsXhy9G4DdB5/k7uq+jONA3yzPQF+40pmeimi3i6vezae9ZtAXQtSAnwF/a4wZ3ZSCIxvYXQCFFfGG2zs3GPNt4NsAe++9919kuEsqrbx8+XL22msvjjzySMA6Qc8++2xuueUWpJSsWLGCVatW8dvf/pbFixfTN9BHohN6+/IEjxNOOAEpJbvuuiurVtlklSVLlrBkyZJMu2d8fJynnnrqFUH/+uuv57/+6782uu/MM8/k7//+77O/Z82aBcCtt966gRz0bbf9jnccMZf069JScNOtt3LDLTdy0FsXYoykUR/n2eXL2He+c9cISKUGtIA77r6Ltx19DJVyhbZf4ugj3gpCMz4xzl333cPJHzqFxBhiAYnLlBROSVNjmDJlKjvtvAO33HYT20+Ziu/57LbzrtRNjApHEaKELNjHAo0A6v4odz50B0ufepwFJx5FQkLUTthrz302AuZpM3QU9t7IcUYntmKWII/3N2Thm1IKpJPW2PCFtiUZpWiReBGjcsIWLVFNtpkzGT8YQcty7tCOQ4zfYvvZ+7HqUfDbPSReg2os6Jo0ib5pM2gmDaodMgKG2Ue8hVtvvgSrD6dIawqHcQWDpHvGVCaeXZ2dE6uYUq1Jbdwwp/U4sKcbbkIX4xyW/BoTCZd17dPfHECAS8qSFHz8CCKEP8FoIKl4naAPmh6GMbKLlhzMz3FfQDilRrx6bbZdk1Cu2WplcTgK8XQkpkNuIUzKJP6YFWgT2uYQJBUSrDO43ZpwJRZhe7WMF+hHCYVvtAV9pYhNQnO9byudyvZpP8LF7MsICf2qhtbWkRubBE8oPOGjZES0eWL+awN9IYSPBfzLjDE/d5tXCSGmOyt/OpC+US8CWxZO3wJY6bYvWG/7TX/40HnNFvkfu6Wc/sjICMceeyzf+ta3+MQnPsFll13GmjVruO+++/B9n1mzZr2q/HEquwx5/L4xhk9/+tN88IMffE3jqdfrDA8PM2PGjNd1HxvNF9CpBHDxQPiHj57Fu//qZNqE9CpBIxnHkAM22hZNMeQA3tGR1Git6enu4Z7rb2NIJ6ySMFmnFoFwEULWrbfouOO48uqfs9XkKZx0woluvIIg6EMYSAo/WOks/ZbXIBEJCw8+jP/+1n8xZuokemPVyERextDoTdIuBgvsykhbr1bYerFpInFWREUKhNwYUyo6HK4YQZsYDajAWr2e10RoK1zXFC38pAwqYo+DFnHbD65n2kgPe6lZRHqcrkmTmbz1NrSTOqrAzIp0leU4felkijGSMKmQGOiZMpUVvJydE/tNatWEKSsSvN/tAb3pPSdUzQTvlxcywVEYYNuJKeyS2Pxn47lnXQR90aa0xQP8bOu5vO+RnOc2KsJoSWXlDMTkWgennxaMDybViIvhpyah0uP8B6VRmLAgpUh9FxDEZe6dMcjRa3cAYxioz6RLCBJjQT9ujaDSbOzhJq3+BpgyZeHRjjRSSRKTsD4j77n+d542zPT6WgbDXmZ4VRLdQAmPcVp0oVDCRypBW0uIW+CFbE7ttUTvCOAiYKkx5muFXVcBaQTOKcAvCtvf66J49gNGHA10PXCUEKLPOXCPcts229bT08MFF1zAeeedRxRFjIyMMGXKFHzf58Ybb+S5554DYOHChfzkJz9haJ0tZzc8+MrRPkcffTQXX3xxJuy2YsUKVq9evcnjb7zxRg477LDXPf6NyUEfOH8vatUK4xOuwLgRHH7owVzy4/9mfGICLTQvvrSSNWvXEgauwlPLECeAkGgBB87fn2uW/Ip6o874+DhLbrgOIRK6u7qZtdXW/OyXV6CFxhjDI0sfzkDfNoGWmmOOOYbf3riEy6/+OSctervdI0BKH4QhSWO4EUgRk84uc/eaxx333sXTy55BIKk36h0+hfQaQgi0jrGW/qY5fYFEoVzRkHwyK/o0pBRZFIlZ72xT6FqnUtFG4rlIGz9oZ+qYddkkSMoIL0YpDz+oEyWSPlOl4nXTM2UaPVOnQanTbyMz0fjIPRNL72gkQVwmMIJKd09H4ZPYa1HqtuPvMFiLTlUR2QnK+CjjW07f8eyNYjivbON5EwzXFErlarG1Vpn45Y/QuP1dvPOOcgenn47Z6wuJZOEhqSlU+21ggE4nMVIxOE1bxQRJicjpFdn7hO7WABrhOP16vnIaiSFyMfcyAGyo5/r0TqRbeG6iGJjay65mOStRjtOPrJKse1LRzO1BSlqJt1nG6r8WS/9A4K+Bh4UQaeWQs4FzgJ8IIU4Hngfe4fZdC7wVeBqoA+8DMMYMCiG+ANzjjvtXY0y+3ttM27x585gzZw4/+tGPePe7381xxx3H3nvvzdy5c9l5550B2G233fjMZz7Dexe9F6kku+y+C1f+6MpN9nnUUUexdOlS9t9/f8CGaV566aVMmTJlo8dfd911G1XNfLVWlIMGW9d33m474Ys6++29L/MW7sthC4/k05/5R971zCqOevtb0Rh6q11ceP4FIKwgV2siJvZK9CqJNoJ5e8zlxGOPZ/5bDmLGzC3Zd58DSH+F37vgO3zi7LP4wgXn0opjTjzuRA7ebU62OjBYZ2FPdzfz5u3DyNrV7Lzl9h3jFsIQ64KlKyy9k3iTmDR1Ct/52n/w3o+dRqPdwiD41N/9E9ttm/dh3Dnj40vxvFouiOa2F6NpyknJOf40ie60koSx9IcN+9z4Si4txB03ekmiEM/TGCPwQuvw9MME2fRAwYRqEMZlVNlpvpcME00LgM80J9hhYCfWvjDO5FnbUi8Uv8lyq1Ru6QvnyA3jMokRtJohfjvXm9EqotK9odPfiDhLJ9BuPTXZDFAz4zZLOwP94vcRZYUUpZeD/pS1O/Doi3b7Nquh2+QEgEp19/tKVk8nrYEufGr9JYxJEO5+rKUv0MZQD9r0Nir01qdZQTSTZOGjibF8u4kamSS2HzWR9WHohpIsM2qs1V7H0CxQhG3dwncztJq8JbuvXs4qeYDNBXD919OaCOUejFK02p6VYqhNZnNqrwr6xphb2dQbDQs3crwBPrqJvi4GLn49A/xLbOtLK1999dXZ5zvuuGOj55xyyinMP3Z+tkSFDaWSi/2eccYZnHHGGa96bYDbb7+d888/f6PXPeND/+BAKW/Lly/PPq8vB91a8TiRUXz/GxchhWTCE4zrCT5++kd436mnM+o3mZ5009INEIbBJ15iNDFoLcCTmZP0Hz/2t3zmE59i1Anm+6UhiGCbrbbhl5dewWrRYtB49GdETWoFC4zSEMNF3/0BU4u0ibB5ByODL9Aag++ef6F9JmKIX/zyp6yQfZhojMMOPJTbr7mZetImlj5pyH/RsSSdVRzH4yC6sn1CAkmnC0oi0CKmGUX45Hr9KcUiveLz7fAwY4zBaImOQ0wS0l2KwEj8kgXHsApyyIKvtfSreMpOCOVuj/HRGo89+l2emnkKT134MvAyW+48m5FCYpDnu9wBlTqSbVSLTWQqk2jBlV9byrzyVEhz4lRCpbeU9TFKi25CJ/Jm7yERCT1KAD4HypmWfnMlFIteECnaWeC+8gr0jvt3YJdruXP8WI5avR04tk25d1L1lXKpDixtV+ut0GqtylYunjH42voImkEMDZg5sjOqpNAiL6OSpFNyFGWTcxi3kCMW9ENZxuhRpKgxLgSl7b4Kz3zBnqJb+On3ucvhnPjsv/Cf5p0gwJf2O68bS/HNOXgPHvnpnbS0t1nq77yZkfu/oN1///34vr/RfVEryUrEvZamSIgKKo3SdFIviYwxaRR+wUKOtf0BpiQILvwSwC+NQgHaDXlsvRF5lEsaq28ElFpxR4GV2JAV3fYCi+IRCZGxQJ0m76yf9bqpAFYh82eitM9YYqhrg5Aio3sMVsALIKZlSxmSg5kyllqQSm2S3gEwicJoK8fQbrYt11614FiqpaJ2MOF7BLoXL7CQWu0tIYTiBa/zZxqUJ5OYfPxeaO/S38DStwqWFQfIRT+IlgndA7m/Y8JRFwKdPcKEmGeadix96WzhbfguSdqZY91fT3K53OXTv/3drJ7WJi48HM93Ga59oRXMdy0RGr8cUG88h3GTWH+7joeV847cd5+yS1bGO03ccnRbEmfWec+Mbirj69DGWNlkPYoSHi1ABuuy6wrsKiEyMX+16juo4z7ArLHnAQilnRybxtJTU5cFVPzJtBKFaXSqtG4O7U3Qf4Pan0N07Q+5hiBBGBsZkghtfzxZNqShpLKgxwxCpGfBukXJ4ZfIHNdR0ECVhxFSFCCnM2ELk08UaWiM0p1KRQ1trGQClk4Rqs2YNkxoY+mdbF4qnic7onw67lO28bwuqtUdCIJum0hkQCqBcKAfGzJrvi5byALtI7Le03EV07XWa8Z3oA+RK3xb6rEgW+4OsxE2VEwQgx/YXronWTpmrGvLju60LtHbltypnuTJZoxXsn1LLw1TTEM2bUz7jslEdj/5DWgqPbkDsu7elUph8R+LhEeamnWtNXlhF2/DkBUp2uxoHued5lLCQoasAY750GxK3U1kuUFU+Cr8dHUSKorrhkQkeKWARuP5bDXmAVp6GBRpZcu0K7uiceGcWQWxOAO2nq0H6G8MM05CSZUxLhInjzGyTQkPJZSd6OrPsUQOEkR2VZ3qIsXagn7tWY8jayejkcTjmx9D/Sbo/y9uOjH4opHpo79as0lLBk9UiE1MWyRI8kLftvyg+4kJiFw0hkvIpa3D9Sx9nOVtkF6nzZ1b+ikllLlFrRiayaEg0W0SKPQhkCpCmlTTJi5ECxXJZoXvdYJQ9q+IUKqCUiX8am7xSiltH0ITOSCMREwikmLKlaN3LKcvlMqjs4rBOikY6RxcEweqlV4Hsn25ymfLjT0I7ZbeqbZ4jlRTATjgpO3pGigRNT3KLc1+yY480TSEVfsF+E4CwaZm2Yznbl2mtznTXbvQpKbSnUtBPxY1GE0S1orVBU7ffmiL3BewYvpK63cpJFRJ2WaqWcXxXEFFeZmxoQ0EJYVSFfzSKFFh0glCR5MJQdEcSITBK4cMDd5eoKskiWcj9aVb7RVDRtMIqZTekTr/rlZMGmf1lisZJSFUFQwjNqxzPee9J30blpk+pXIvvrGTZSjt+5Ek9c5zREBzdIjNrb0J+n/G9udW2dSJoc9bSb+34jUdn6a4K+ETmRZaSaQB5ap/aIGDEoERKqtsJJVBiYgoDm04YzFkk5TrzblXY0yBhkmDH1N6xFr6AkECjCaGemvYXcce4/s9HZmxCJ3RO6Jg6WtA+ZKh8jAjpfUsMmEQqZ5KYUKSnkQFE6hgzFJKQOyiTlQG3rpwdwahFLAhvZNm+uqoqLNvP5cd6FcndWVWazuNXS/ZDwMzrUqJ8KyjcJf9p9M3rUJj3NDUdYyx1QqCmu2z5C5jo1rs8zZxmea41UdKimGWUuMHJXZ+5weYsvNS2u2A34y3gWb23aVCdw133tooIh4Y5hvH9tCYvIoXYvteKKIMuMuylE2ACeCHCqVK1IJhGgXd/iD0ieMJ7rn3JHQ5p1likVBPnmbV6l+ilEEbm1AmpMIYqKQZxYUnmnP6TuPI5HH9F4jrufqQVYzIOqGsoPU4SijKxr5TF069nLVOvE0JL5OsXjq+hpK2oB840F9bzUNeAaZXtqU1/gr0ztqnof6XtxJ4E/TfoPbnmAB0vPHsEaMNjbH2BvSP0RpNmnkYEQkL+mUToI12peoMIEmUl708YwhC1UAnCpnYQuOWBMrDIZXnZc4+KFjdgszST5sQJqODNJDIPBsSwPO6kASF4/NM06LVqAHpK2IV0/I6F/T2HAcSUmTJZcqTKL+OCqykxHhSxwQW9H1dtlmiHaqcOvNFbPCc3X3oOJ0skowqq7g66l29teyxNN2+cs2Oa2CLKRijkWoSQgrCikfXQJmJ4TYj0Zos1DLsspxzOXASE5kMg22tCRv1VQR9KQ3SKXuGFYOKyyjjoUw+YSdpDV0juHlwBfc0xikpxUhVoZThnnrMTWMRUuUhkqGX+5ZebGuCsodSFSaLdQyG+YozKHs89dQXGR19EF19LtueCM2yFefjeT1U9CyMk1DGTWLdqWBcB1mYTlK5Hyp9N4+ozQZgWE0QqgqYCaTwiJUdyy/6b+RX2Igea+nHHP346by4Zh1VaZ3tgbLP97Gpyzq+36rXQ2ti4/WyAbj07XDjv216/xvU3gT9/8XNRI2Nbm81YsYGm7agRPF4rdEm/dEmRMLKDpRNiZaJ0UJklrQAAhNhgDHdJHQp9mHk273ConlagUp5QcfPVErN1v0VsEKQhdJ/lg4SojgxOP638LYqv0AXCY2vBAOsoUq9w9IXgQLhg/A2mGiLoZpphS/rlFV2IsBau6GRTPIMYezh+fUOeDepJZrJG3RObKoYzmly0Ntup1MB6O6fkgFYKmlcc7RLqWpBCqxDVEhB90CJ5kTMOm8wA/FSzVqi1YpnVzcoVy7S7o9adkVWdOQqRQb6QTV31ntCZ6subQSSiNHxlxiKRhG+pOy4PKUSlA4YScAjzp5J6AesijR3m1W0DPglhZJldudJ1pTzL9CrGF562YYtl7xmRqUlQjM4/DtmzfowgfId5WgtfQ1UVcQX3tXP2kq+OtDZv3kORVpKc9vemfTHISPeKKEqg24ghUQZxS6rDgCgKa14myd8tBFsMzSb4IUSPYGTmPatdtO4Wo/ekQHN8VcopDK+GkZXbnr/G9TeBP0/oP3B0srrGfd/cmnlqMHnv3ohM/c8OhvvVVddRdxK8ESTOOoEfZ0kGei3PGX1Zlx7ftVqPvjB0xy9Y1+cNEIi0cOs8BOGS6nsMlnMfWoVi0JoncFmZPZUAow0GzwXKUxWecqe7EC/MB4V5hZlrbYdCEE3o04e13HKWEtfiX6Mmla4fjqmAgi5SUR6kmrXLGpd24Axli9OYkJjJzO53oohr5W7IadvfRkOiFQbv52DRrW6LQDdfduiXR+TtZXhqHbnPoCeyXZcKf/eNWCtzlLXDG5ZZUtslrss6Ncqga30JTspkKhZwy+pDktfKVGw9AvbTc6HGyPxRYuhiRUY6aNCRdlNhrJQI9eTSW7pB2XunEh4OKpbqlBJlKow1VvN6q5czTMpL8eYNuXSVgSlwYzvT6RGyhJbzHw3gSfRaOeYtkqpjZ1+AEBTFbN400ADdw+Acu9KUO1mmupjzBsikGWU09nvaU/n0Gffxc6r9qPtHMZjlcnZqrI8UqG75ibCqqXZiqAf6Ra+CKi7JMYNWhJB3ID6uo3vfwPbm6D/B7Q/VFrZOkI3lfLwP28bSCvH1rI84wN/zQMPPMDll1/Oaaedhm4O0++twLQ6LRejE7SrRTsWVrIoFoApU2bwH9+5KLPchcn15A2GCQGRX8oBFWvhig7Qz2E3fQyJ7MT8NC6oA/RTDfvCo/MLoC9VkAF48TwtrPM3tbU3pNRyS993hLiUAqVClApJC8LrKM4omvVBH5OCn/sprUdhpYVoVDhOKd5QlVFKReL6VC/aZLxKb47Cux2yR3ZfAFO2tryQCraPYQQDAAAgAElEQVRkuG2diGHZjj2shsSA58A8LWrTblUodwVZUXkA3wOpUtDPYUB5ueM+0RJfNGmVqiB8yrUyO/oT/LW5iKkid2D6omDpuxmkHHXhOatAqhLGa6Mr+f03/UfwvC6mTluEKg1noB+LhP7+g1CqQqg8u5JC2PfHGErSvrONIui7i7dEmpFsyysaYxi8fFcOvusf0cbq71ccVZNOGrus3j/LFA5kgHB1jvsmptDucpFW7jfRFPn4E2OspV/f+Go6K6VYXwdDz0HylyPU8ybo/w/b65FWPvHQEznx0BP51Ec+lfHpf0ppZeniigUG0xxllx22w/M81q1eydVLbmbB0QuZN28eRxxxBKtWrUInmi9+7euc+on3839OeDsL9p7LRT/4HgZ44YXnOerwQ5FC89+XX8a73/9uFp+8mN0PnstXvnA+yptK7PXzm9/9hkOOX8j+bz2Uv/7wqdTd8veLXzyHQ449jHkL9+Wjn/xbUrvs5OOP4/6H7gdg7eA65hy4h+PbZfZjxjnvOix93/H8bnsqeCaVl52X0ibCWEX79O/MhSyKYCdBiCw6BEBKDcIDrTFxYCcjl6cA2ByBtLJVSu/I4qRuCFw4ZXffDMvLt4YJRCf4J06ZMg2prHbn0UTTt7MRPCNrLLh0TyrTNVAiiSdnz8UPnXXaVbFZqZ49X7vJJG6FBCXVISEd+B4qtfRrhRWPyh+QtfSbRCIAPMo9NYKuKm/hWoIwBzFfxNk5QcleuxzVSAOnlKqgZZtj5a+yc+rmPvr7D6FS3grfL9A7MmHyJCtgGASe5fSFtNm3QOhZy7peKNaSWvqjQepYligECQm6pRBGIVzx9bJyk2ZiJ6dSXGXe4AMA1FBIVzegvz6DM2fea49x/qN2IbcjNi56p7EJ0G9aB68ZfgH+fTb86pMbP+4NaK9LWvkvrl33KXj54T9un9P2gGPOeU2Hvl5p5YuvupiBSQMMDeZW0uuRVj74oIMBiKMkoyMaY22ULzcurWxSQDLIoWe58/5HkVIybaBG7/x5/PYXJ1DbYmsuuugizj33XL7w2X8GJA8//ijfX3IjtbXjHP7WgzlyYZ54LYWFzocfe5hbrr+Zmqqwx+HzeOeHzyQs1/nqN87juh9eRbVS5ZxvfZX/vPC7/NPZp/Gxj32Ms047i1BITvnE6dxw/W9477vf55y1nRa4NBohBQmGBI0SAVJJvCAHJyk762GlvIrI4rYLeQQuWCgRGkw+KRZBv9wVEJS9jonFCz2SJrSkQiehnQSARMQMx7afsCMKab1Vi4BKT0C5y0cqSRTHBIzilzsT6RKTTyIz9r+Qctens31TtraUyMwde92YBVvs3Mfjt48hhAvVdAXag2qFCQxJuR8MJLJJmoIblDzahTDLUilAyhIg6erLx9NP7sg1WuLLBkLNQKhuStVStjrwgvw5BUpnTzt0HmqJyquJqTJGtKjWXszvWa5m8qQPE4ZTHein2xNqtV3sGL2U088dub5zwEYFeilG8/DWAbPc70ohUEKijWaskiASQxhZWjRUFuxtJJahFFVRZZtV220UI0aypitm8lgPxz54NlQhdM+wLWLuLi+lvG5HtvQFvvRpNDehqd8a5aZV2zC9PMZO3U247xJ421c3fuyfuW3eoP8GtT9EWvmkk06ib8Bygz19PVlfr0daed5u+2AMjK5t0j+9ik40Y4P2R3Dddb/ikku+1zFOgUGbKud/+wdc+rNr6apVuPT7P8CTMS++tIozP/QZVg2O0I7abLPNNhidIJC87ai30O1L+voHOPSAg7nr9/ey0452LFJotIHDD1zAQFcvQkt22G57Vj+/DD06zBNPPsGCE48CoNVus+e+lp648cabOedL59BsNBgcHmS73bfNxpmsx4MLozNAbpg6/aWQ7ikDSLkezIsihZ4JLBR8AfafSa0YI5SjN4qA2zmJyKAzlyCoBLSabRJdwRgf5bnQTZkgvRZCtRFxOtkIPK8r5ZHyexECodYbd6nU8fcq3WBZK2GktIKpW95HWMm5b+VL3vOF/Sl35eOeuWMfS297ie4pu9FsgOfGHVa7GMZQdhlMWuVUVFD2aBcyXythiFJl5s75Ll1dswFr7fYUwm2NEcyv/YirW1amw/Nk7vwt59ARFOoRlCo1wFq/aQKWkmUS00B156AvVczAwKHE8Rh+OJ6BvhYapapujL6LjpKZT2iSeolTx5YwudWV9TVSGuP3e9WY9lun1SPAMxJtDGwrWPtyzLbNbvAKMffA2i6YNFZh3Go8UMJjyGh+P0tyxMOGStRFk4TQWfqRiPhuz69520vbM92X+DKg1doU6I/x8PA0xqKQnbrX2pq91/4DHHY2lN/YgoGbN+i/Rov8j93eKGnloZft0jZxqY3a8cX1Rp3hwaENpJWtOn3Ix9//cT71kbcC0OrZFW94KR//7Ll8/P2ns+g9f8Ntt/+Oz3/+825lYGUQ/IJTNzGd0JoYTRAEeEYSAyUvZMbYKkYiwYJDD+aH37AFT5pa0+paTas1zkc/+lFuvPoGtp+xNf/y1S/QbjsA9TwityJptuwEZi19C2Tlnl56eisbfX6epzKeP0+OElbLpeAf9o1BJgljKcfs8gxezb8SlH2gjTEVEBpPOdVJqQmqa2xfE7kIXqUyi7GhtRvvDPBnzgStEesppvqJ5KG2ptw/7m6h82fZM7lTHnrSFtZqnbbDQSx/aC2+k2EIKl1ENCiRgn4EMgbtEZQUsjDfVcoWWAcGDu3oW6l8rWK0YMvgAfZ/+3bceeXLvPTMCNstcJFFXYUVkUqyKbfU3UMK+oHzu0hVwZgI2fVSdk5f3xx8vxelqoSeoUkEhPgClCvUXimFWfSORNnsZ2E4oXEHD5jD80GbhK+OXsDV3nsgttO6J6wMiN/jM9EylJb1QQ0bwYNN7nq5z2PSWMwjAy2OcV9bAqwc8Lh4YcRpN0CEzjl9WWN62664IiQVGRClhVSiho3UGdjOHju2jrb2qCeFHI27vw3T58C89/BGtjc5/f9Bez3SypdffjnDg8MIIRgZGnnFOP1NSSsnsdOEMQadaIwGRZvb77iZAw/YWIGVDUFNtEcQwjAyOs4W0/sx2nDJJZfYfrWNI792ya+IJtqsHRrkpjtuZe4e893JLipGFGmMNJGqj7322Ju77rmHp5c9A0C90eDZZ56h1bI/jP6+fsYnxrni2quzkc3cemsefMSKt/78misxgFeuEEybZkFZyk2Cc8/0Cj3T02IiebjeYKnFqIDxVEMnMEReO6uFa/0Ar/7qK08RljWVHkOp9wVkWo6w6Dfx17ObOjJyO5vX14c3MLDBdYSjXXynsS/lxnWU0tY7rYJUgpeftbxxaukrPyQSmjArxK5RvnV8BmUPv0CPVaqdUWCBTKnABGkEUvUjMSRI5h65M7W+kD3fsjXSiY/1b52Hn/YUKqaXu3IrtlROwzvL7j4NL+o6iTFsteUp2b3uMf5Vxp2DNkTiOUu/Vipn0TueyUNOtWrZfAnXEjTaa9BI8ymMwXeWvlk2Shx4mYO2aOm/7GiticJKTAPTIp+X+3tpqYmMegNoqi6qbbtKj43AkwFRGgG35LPwjT1hxPr3Rtdao2A0CvmXVXvy62gyw+0Spt0ZPPFGtDdB/3/Y1pdWvvfee9l777257LLLOqSVP332pzn1+FM54ZATOPez575in0cddRQnn3wy+++/P3vssQeLFy9mZGQUneS1XZPEYJKYAf8Fbr/l5xx+8KEbJFsJNgQP0RrBGMXZZ36av/rQ33HYwgVMmjQJsHH6Apg3dx6nnvpu3nriQs78+D8wber07HwlujFZVLv9rWuTIFBMnTSFb17w//Hej53GXkfuz8ITjuCZp55j8uSt+MAHPsABRx7E4vefzF5z9syKmLzvE5/g+9+/mENPOIJ1gza8zfM8hO8jRUcwzIb30jEZZF5fEilYqUy2qTq5n+rU/jwWX8BrffV7pvRS7rKAkU0aKgd6FQYdxxdjjoR4hcEXWr8DpJJTsBTilUFfKUnf9CrNcRdHHqRO7JBIxpQcvSMBFTjQL3mE1bzfSrWro8/QWfjSaKQMmT33CpRLjVJKcsqXD2TXA2dk9E65N38GJZU//VItrwoXutBTpfJopCfky1w7PsHkqYdl22rlrRh36pwlZE7vlEs2Oc05ZtNoJO01iXqfyc6PPR/tNYjCmMRofFLHr6BaLVESQRaumuroJGhOWGMncZXkdJs2hh0akEjJSLgqe/80mrbqK4C+QYmAyBlivGhLLfKAXeWOrLFU7WhUojZY5aGnd+aiZ/bhxSef7Hju/PyD8JNT+HO2zZveeYPa/0Ra2ZMesbYv2+uRVo7bCeMvr2Hw6ftpxSPouAwuBPD2ex/iS5/9AkmsMwcvgMHns2ed7f6yhUSUbtDWPRx/9Ns5/uiD0D0zKLk477GXrJWy7Tbbct6/fQu8JsQlYhlT2zHk+juuxff6edc7/oryO94LWAC98r++gZAhsktz6KH78tZrbgas5rrqqxOGU/niF7/I3334LKrGt5EaffZet9lxJ666+XZmtSxsfPSTn7T6N1jlTK1fG3BmGblCYtLEsI5nu5QkDKDRZS19I2k//zzelCnIAse+MSouWxU461JKGxFiRIIMOkG/U+XztY1dutjwINXOka/+s5w0s8a6F131rTB9XgGRjJFOnlQmIV2901k3lhCUFdXuCgzba5Rr3R39Vco+Y5HGeF0IYxjo2QKJzuWKs7G60FYVUgrqNNsVfM/QdgavV/JJJdRKvc7Slzk91Z10k+gwE88D8ColVqlhSKYz5E1kz7tcKdESZdp+hZIRRG7SlZMFZnA1aSGwVlkSVdaQONC32bVWaq9nehcDo5LYRbKl9E7DazM9DhgHDnz2HeAehwa2c8UChsrDmLYdZyRiEq+faruXlqoTmxqeDGzxIIDIrXzuuQj2Pn2TNN/Q6tUdZQV56EcbPe5P2d609P+SmzHQGAadkMSaihwiMBNU5LClehJr6d3zqx9SDVsZ14+O3TIyBSSDMbY7SYLBgpw2FZK4IJVb0Po3GLzA+hCMMCQysmDpuPY41U9HILyYUA4jfJFRFWCjcorO1yIEptLNvapNUtDMTyQoUQD916gUqustFwUq6NITgNlQVrkQcicahmR0lPay5R0rpOj552k+8UTHaUIECOGRpFWhhCAYn0kwPgPleZgkIR4eRrdanTD/Gi39LXtGmOoJJs180XX/6qA/dZuCs9fFRkppQT9tvvCodlnLNCh5VCbldXXLXZ2W/tZb2ONqFXJJio2AvkhBX4Yc1GPYaeaTVEq5aJrwFP+PvfcOs7Sq0r5/ez/p5HMqdnXupnOiM7EDwYaWpCAYMb7COI6Mn6gwpsExzKsjimEG0BEj+iKgmEBlAEndguSGDnSsjpXrVNXJT9j7/eN56tSp7kYdneEbv491XX11nXOeHNZe+173utdEKyqMilQ8c7mT6uvPSVVYnRx/Z2LZFHucPh4q+DwV6xn7PpFEyzg1J4tNWKhlmhkU1UiuO7RR8TdtuyitMaSFFCZKS7KJOJNSNm40S3BkOOuoGi6Z0dqAhmPxCDirLDhxOKCrNexFACFzx6GZpJulN3UAX2tMYeEHMgy+BvfA7FeF+vo/v4r+wgC2jNUbqndFifjB/gaBtuPUbbwc9orTf5mtUbHyD5lSmmp/D+T3Qc9WlOdiiZCNIfEJfIUOXALdjKunIzHqsgt+oQf6X0SP6tBGNbI+diiqJkYjWwcdRE661I+jSnzi6o9y1ZVXoQwPwwqjl6ozul+BNEwMbY4XLI5gCY0a5/S10HXnPvoZItZN5OibpctE2UDlE7ounibFeDXFl7xW5Qr+/sMYQ+G5xrSLrd1GHg8AhtAEOpRpFuUI7w981MiYAwkKBbTn4Q8NERRHE6ujzJzRsxbU/CpS2QgZzhi8Q4fwe3tpHNqk56FegsftdXejqlXyt91GIuZySsoknkohZbwOoRzPgmI4EC9aO4m2aWmSOac+M5HSrovDAVimhZOIZhExg2Tb2EDhpBvKcIF5y9o4K20yuWUItGb4l3ezclfvuLoPValQ/c5vkflwX0kvx/zSIpBG/bSFIViRMFiZMFh8xhQA4vHJ9W10rJ/P5NUd4/ZtJh18u8pQoLG9sYHJiifRaBaRI4dDL2Wam9cSBGXMxFgVfBDRN6VdjZqjG3V4J5dKMCOboOiU8HSAYYaDnWv4NM0I99X4jHkyoGVKlqu3VynGzHo5myc8lvROoKnSwVC8h3IERynlwOBeUD7PNZ8LK94Oex8kXx7hrIlvYXFuDb5UbFktsIyAYqEBJRgcg6jqxVwvg73i9F9u+xMLcmtlDxmpS6IDZOkIGpuiagck2qtB4BPoZgxMNMl6Ba7rVaPdjN1eX08l0Fk0NgJJoH2ksMLkLcDwwXqbQKElQvoI6ZOxfHxjNAE6vgF4UWkKgUZFfiFQtXE4tkKNm8Y32mgxVaig2DA7ELo+vT9epO8PDlLbu3d8dN4TzfMDAYUaaBGml4XGdcdUDqWAg3YP3bEjUPYxcjmE4+D39obJcXfMYXqHDuE2dBgzI2chtIEUNvGOHEFGo30fFZXiq2p13O11yjVqe/Yc6/i1ZvcZZ/LisuV0f/KfiOX3cN+R7zN1xRWcfNIvGPrhHXR/5rNoNTa0qkqF/W97OztXraL85JNIQ3LZR1Zx+afGKrCltAnMsXMwEjZ2Ioww7bhJomUseeskxucN0msmM+PdizFaE6AVRz70IZznujBdJzpkzcH3/C3V79xL/ElZh3kgHMANOQaRCSGYYkti0qX7U5+mtmsXK1feTlvbuTSvO5HmN8wbt29hG1TjodNTDTND04nXazgGfcU2MUg8Po0gqBCzx5znqASzaVcItAgblxP2CG5JJZjamqQQK+Ohx7TxDY9J6yLJ6YZHzBUeyeXtzNIGpQbpCld6nLR7EiOxfh6bvJeRqC2kIg49L6A0/OODZXrjJ4BfoVLKkzSzpK1mCgmfQA1jm+BVqvDNDaGT72/A9wtjM5z/bnvF6TeY1ppaJYyiCwNVVPDSDbP/nG3DWKT/x+Ber1TDEhVqRgs+OYSaQKBbscng6wng1xCqIarWVr3UW0Y5g0aAQ2OjsRmVHvCihhBCjcFEukHe2JAeIX1TI4SNljFMYYxjvWizihUbwrMkgYRAVcfht6EDbxRGa0hyykh33Vfj5B7C1rejcMWY09dK4Q8M4B05giqX0V50zEFQd7qyBrqngKyqcEYjfarVw6joXA3AM2qYvg9KY2QymK2tISxTraLKL82sMM0MttuOPdxOMNCLaVnEMxlUsUg5kaCWzaKP4myP9mn1+8fju6PHDlCzbRJ2jAv/+eO0TZuD//BOej7zGfK33srALbfUlxu55x7Kvw+ThYX77g+3L0SduRNeL4egoUdtoj3ZEOmbxBuapow2Xhm7H4L4vOYwJ9Iw2BT2R/TPkRHKjz8OgHVYUPn4HYxSM0deLFF9bjJnrN8GQO6iWbT/3TLyt91G/oc/ZN/rLiXlz+DEJTceN18hHYP+1r08PPN2dp6wa+wYG5z+SADoqNBLe8TMSh1iHG2gbjulenN0IcOOWs3ZGFM6UozEXQItiEXvn5I+FSO8no0KVJ7wOcS3mPq/ZmNIkwipYkgWidVsnibLgHgX5eg6a+Low0+zqW866/bfx71d0aBSq2JKi5iRpJDwUZbCMAVF3w6Tvvs3Q99OeiopjpTTUOji5bJXnH6D1co+w71lhnrKVIouxfzR/XX++00pTf+hAtIdRAioBikC1UxIwAsfKE0ModzQYUemsdGR0zfqTl+O68kLRn0gGBX50oEiqIxGTQ1O33SRhkN8YgtC2gTmRKQIO0SNOAMU7SFiQuD4WYTW1GwZOn2zofm20ONmBo1hsNASd88e1L4BGmTW0RJUzyB+X38I70SHH4yM4HV1oYXAN0x0FJXXo2ghQIFvmohgjEgK4HkhtXE0iExWw+VlMol0wghVex76pXRUCB2sEaRRxX5UcaS+f69YpOY4VIxQvyBeHKMyCuVjNDcTDA+jamPP0ui6Pe3t/PSSi9nV00PLlGkAFB64H7OtjfTGjfR96QZG/uM/AMjffjvWrFkkTj2F0ubNY9vSmr5//Tf6b/56WKFrjg1cuVlNOFERlR03iaXGovtSpRhKb6ijAhshcUfGBufC/qhd5MCYcFj8aYn/2E7iC2qo8gGO/KyLgd8VIDr31GmTsCbGyd/6A2QigXZdig89/NLX1jaIC5ttHZvqs0oINZVGraI06eKUOhMoIXXd6euISht3ivijkb4IIchMxiHWFKccC1AN9SaGGXCw/xaGEiEI2B+xcKpGlQO9X6e3+nOy2AxFof5P4qFUyAFTkK5J3Kgy2BI23oFneH44ZLg99uAz7Bhuw1PhzNAxQ6efbE5imoKSFw28nY+iu57l1s7l/J/9y6D4SqT/spvWmtJQFdCo6Ea7R0kP/1fY0eIBo1YoFLjpppuolT10oEjIYTyRouaZdZ3wsWJPA4OgrvviEfCNW28lnx8AretKgiBRunE2INCRDEEwGl0Hilo+TC6NDQga06rVtVkyUROVWKRbXzPLVKwChjYwLRfL0/hRMnEUBoFRimOjpx/7Tw2OoKpVfNMED2qjGjYogvwwXk83VuCPRfpRdFzN5Shk0gTVCFONHLWXzeJZFoVMBh8jgnei6+MPIQtgRrBpoga1dJLu3l7KUSJbex7a96ilUlTiY7OVcTRYAajRwTL8vxaEtQ0a8CwLGQHEvtbUHJNaMglCUNu1Cy8qylKui5o6hS2XXAzAgcCv72fn4CA/W7+Ox08/DeuEExj81rfx83kGd+7ipyefzP6lS6nt3En3pz6N9n1+d+NN3PP44/R85StUnnwGxw9P0tOa1tltxFIWSnhs/daNmFE/V4XiG1/7GjfddBP3338/d9xxB319fdE5Sqr94XMQm5LGLYQ3rXG2MlqFbGQCnElj+ZhSNBOBEB7ze3qY8NGPYGSzlJ96kkZTrhtec62RSYvZbngfF7ohy0yVSrg79xCL8hXVqEhr1OnHBHijWkpRgj4VG8EjpGVKYRKgMOMWRtrGc/S4dpG2EeB6vXztwhy3nfwim4oBDxV8dpvd0WUwmChjbKt6fMv6DUapDcPU9JmQqSlU5PRNaVM7tIUgmtHOHN7N3Ufmo1Qk+2AmWNR0Oqlhk6KVpRRYBPF22Plr/J331Y+nmj+q0ZH7Euqd/wX2itOPTCtNjk7arb04YpiscYQUXQTHaUTyZ0srA2PoztgT6Lou733ve1m/fj1uJSBuFJAioGg1AyEpZe6pi+kfHMCLwmJbjiUqP/vlz9Gca6Ylmw3xf0JJYBG60Pp+wqrG8OHUo5K/gCOLeMqpwzu+DEAEkTYLZAzFTPZgjbaqkym0sDFzMYyYhxVFSaaZqXOsIXT64+iPDX8GA0OUslkKmQxCJxnGZSjQxN2Gop+BLozIKSvPpxpP4BoGCFGv6NWVMjoWoyglxYiREvZKDYdIsxKDwSpGXmDkBVkhUKZD2bQRQjBSLOI6DtrzqWhN2bapxuNU4nFqjjM21agf/yjlI3TUrpSYhG0WXduuM18q+FQTCQqlEsWmsGBpNHegPY+HTz6ZoSiBPJxI4HeF0/t90qBomjy/dSvPrl5N75HDeAcP0jlzBkUV8MDQEEdmnUD+hz+ktmcP2w8cYN+sE3hy9Soe/4ePknk2dPq+BpG0mb2ynUTmCR6kwpar3gvAYTlIKXquN23axNatW3nggQcoP/EEz1/zM57rnInf3Ext/iSCSjggBpHTt2efgGeabDlxCbX+PoJ8nv0LZvHs8mUcvurv6f7Up6m+uBM/n0cJwV7AjPIQ9efCddn/xjex7/VvYO+rzyN/63dJR13JjEqVkXvu4dBVV9F5yWXEIzixM7GP7ISdyIiEIEWouQNjkX7aylNVipiZRkgbXwTs2/Y0whAYjjkOu0+Y4LoDfNG9hkWl8B0ZCjSBFV2/oMgMO0PZKlJVCaYNLaRlgoktYEoxQEdMLlPalF2N6x3VvL4S3nMLizcMncc/7vobUvZ8BJJ7hk9H9e0kXx6D5ga79o+tvPch+OdJ0Pkox9iBx6Fry7Hf/yfsFacfmfI9jMihJuQwjqwQk0VU9Vic98+RVh6THD420rdtm+9///ssWLAAt+KRkEO4Ms7BqoFIW+PvkjMa9RvoqMziQx/4AK+74GKElg0SrqONMMaclhASV9khHVOFkI4hAgwR4MVb8FWoWR7IUSce0viEIevrAyizjcCajLRNEAJDQaqsiMenHaWDHwCSYrHI4MBAAyVUU0wmQwcOCB1HCYVCkajVQErsmTORQUCqGh5nVQVU4rE6HOFFTktVq3hHadloBFoLEpUaoq+GMTx2zTMioJxIYAlBe3s7tm1TSoTU1QbyKtVYjJrTwG4CUIqa45Bvbg6DgSBACYEhJbZt48fjKAKGA12Xlkgmk3iAamsjMAy06+IJQY9p8prXvIZVM2cylMtR3rWLYGiIkXiMabE406dP5wU0TyxaRPGxx+icMYPWTIaJEyfyyOrVdHV04B08SEkFGEHAvhNO4JH163h+cvhM9IgRvvyVr/Lcow/SK8OocXs2ZO/sNrqxazXmvDiWSIzH41S2bOH3y1bwwLqzue+1r+G21mU8t/RE/L4+/P4Q3okvWkx3RwfbFy5kf28fR0pFHlu6ihfnzcO1LPJ33EH/TTfhDQ7y8Pp1/PyFF3hgyhSqBw/VZzqD3/se1W3bqG3fjtvZSe+XvkROJTECzcYfDXP46g9S2vw7jEymros/1LyHVYUUQxf+E/HN4XPoRU7flAHWfsGM3/VTEj4x6WBKB5+AX33jhvA+xJP1SL+iNMmkQmufDnMvUxoddpQgdt1+5mRaqVgF2vPLSHgZJs2u0qEEU8seMtI1sifE+/EAACAASURBVKVDVzm8rpXJJ2CcfmF4nYKx4Acgo1JscM6kIz6TnXv6ua10Bj/vWVL/fai7IdIf7bb1wo/HbYPAhx+9BX5yxR+uWvwj9v9bpx8EitJwjfJIFDF60f9aYNCQkPNdAk9RLXnHVLzCeGllOL4kcmdnJ0sWLeG6D1zHxlM3csVlV1CJsOg9e/awceNGVq5cydq1azmw50kkHt0qrGysovEbZgXlkQE0UFFN9BUNrvzgeznr1Rs4aeMafv6b+9GBx8kXvI2tL+4FQqhmw2Xn8fSWZyiXS/zthz7IaeefwbqNl/Dz39wNCJ5/cS+nn7WBNa/ewKoNp7KvcxeGkeBzn7ueefPmcd4Fl/Gud13DDV/+OjoIePd557L16adBGvQP5Jlx8vlILVBK8eEPf5jTzl/Pyg2n8sNvf5fC4R5GRkao1moEozg4AV5DUVPg+5TtKkVnEKfmIxMJjGQSZVmYKoyoG7FnqTUeIfRSlQYlOf4xVkjQmkTZw7VttBAUUymKqVTI8BGCmGUhpSSdToMQ+EEwrmkMQqCkhIaZnvZrdegn8HyU56GkxDQMHMdBKUU17oTJRxEOFslk+PIPBwEj2WyYm7AsJmcynHjiiUyZMYPANOnZv59aZyeFdJrWlmbe+ta3smDKFAabm+l6+BEKmQyrVq3iXe96F63NzTy5ehXlzk5KhsEcIViwNUyi1qI86ZAIg5W7H32UmuPQZFocnDqV3xR7OaiG6KjVmHnCmOhdKZ/ncFcXB6dPQ6AYLpdJ4LF/+nS87p4Q0zcMnLlzKSdCiGWoWGR3Q2L/0Kf+iSPr1lLr62Ogu5uejg5OmDyZQ7UqB6ZPoxbVPxQ3bSK2cCFT/vVrNL3lLRAErO1t5X8NeEzprNFy5ZW0f/pTOJe+rr5t3yqin/0xP7rgIro750bPUfhMLHq2TOrXBjNuG6EgaggEKWHhSUU8EzrkCalcnY9fUppENnrHhaY1B09N/k14j2MhBOa6/cxpbqZslbBUDE+6+O3/wtcX3sNTsz+DtsP31zGSHKpEncliCYYGwk5ZthwfiIza7rBIn4OHYLg8lmPRvRF9s/t5OPhY+HfnpvEr73sISn3QtwN6Xjju9v8U+6uuyP387z/PjsEd/7mVNAR+QAPxBcOSCO1D4DM3vYhr570RtERSQAcexaEatbKH5RgkGhgQR0srHy2JfOGFF/Lgbx9kxswZ7Nq1i8/c+Bn+5Wv/wnvf/l7u+sldvONt7+DKK6/k5ptvZs6cOTz84KN8+GNX84vbv88wcSyhyJddctHswFdu6Fy1D8Lg+q99ifWnr+P6L16PP1Rl7UVncc4FG3jjRedw+y/u5eMfPJsjPb0c6elixYnL+cTn/okzT1/PN774bxzKFzjvtWex9rR7+fK3f8q73/523va6t6J86DWG2bJlH7fddhvPPPMMxeJhTjnlbFatOpnaiy8Sr1VppyuCbqKXXkhuueUWstksm+5+EK/msvbis1hz5plMmzYNww/bLULIkBBa0zFpEl1HjhAohWdoFBUMTyNzEQPCsrFqLkqH5fFCa1ra2igNDlLVGl2tUomHL1fYHnBUG0iQ8irUHIdaLIYMArQQCK3RfsQMimYZozx03/dRjoMtJW40wGgpCTyvHhnpSgGdsKN7EWC4bjjTsSzsaBDzLBMZ1DB0Fa1NTHP8K+YWi2ghWDBvPkIIJs6aBb/9Lf19fSR27yYwTdomT8Y0TRauXMn2Q4fY7oZR5dRZs7Asi7M3bOBHP/oRnc+/QK0pR7a1lTmPbiJ48UX2zJ6N9jQuYzCZ5XmsOessfvHAAwS6jC89UokkM5YuRTy/BS0lg52dHCqVIJHgzfyMrrO+hvu723iUdqpdR3AH+tm8fh2pcplSSwg7DteqFNGk3TIFO8ETzz0HbW30uR5zB0Kq7Nr16xm65x72zZzJyTt3kVq7lj2ux5F5c1kxaRLb5s6htmI5y46MsHKSwjNtOpcsZtMLL1Aul3kdVVLEyMiA3cnwTuxtnsdydtBPlcnEaTk4jHPQQAtBibGEeUV4tK84RLV6hNmpdqqiB4hRDCDRNDaYT45Lnph2DwdzOzixY194n9x+ZjencaKI/cUJj7JEdGK0zyTfM4LObMfv3UDcSPL0yBQmJ6axoHoi38s9QtKJYR1Va3FPeZiNiTQ5mqmJfZhRrm3aqes58LuHEOVhGDpAYdM3sbXFN4Lzuar/pzB0EHJRDe8z3wc7HXbk2nJ7KAP/Z9hfXaTvVn3cSnjDgkDhVYN64vUP2qhD8F0MXUEaGtOWCEkoXqY1oxWsSjcR6HZ8PRnle1H3Iw1+jUJfsS6t3NLSwuDgYCitrIJxksjLly9n+9ZtvPBMiL/NnDmT+Uvmg4CFSxfS2dlJsVhk8+bNXHbZZSxbtoz3XfW3dPX20a/TTM2YZHUJh9DpaDQFL4+QyZBjDzzw8G+5/t++xBnnvIpz3nAB1VqNzn17ef2F53Dn3fcC8NO7f87rzg8Thvc9/ABfvPErnLxxHRe/8QKqtSpdXf2ctupUvnrTzdxw89c4cPgA8aTD5s1PcvHFF5NIJMhkkpx33hlQ8+t0vrBsRYSSBwBCcO+99/K9732Pk849nTUXncXg0BD79u0jXathjUbOgIuPHQmpSSEItCamfZwIX5HxOK7rUorZ+I6J0qFqjiEEtm1jWBZaSryREbSUpByHTEOFqZKSWODiWVHbQMNAS4mSsu70jcgZjzr9QITnYhlGXQYCwI8SyKpapRaMzQCVUvjRzMW0bUzTJBFFwFZQBK3qQN5otA9hQhJg+qKFAOTa2gAYHh6mO4rW22fPBmBaFInvmjMHoTXt7aGi5+TJIb98b8SoybW1MeFjH6V97jwCw6BMjUCMsUEmFYtMmTcvum+DKEORSMRpPfVUNtz7H0zv7KTg+4xUa9i+xxw6WbfmdFqT4Xs2cPgwA0NDHGxvZ/vAAAemTw+PWSlKhknOr5CMCgebhKA/5jAS5StybW0sX7mSvvZ2+neHdMztzU3sdhxuv/12tu7Ywa65c3lRxikXM/zsta/hnk2bSCaTaOBxK1xngvLYMyu8HmYtwD5i8zg9bC56DLl9vLB4Mb/ZeC4Fxgrt+o0yqRm7ef6Fv2d2Oo1vhPdriBrx9BhTqyUZPgvdmb1YpkdL8zpct59EzmHL5KfY0/wsW6feDYAXCzF/K72fig5wjBTSd1necjZt9lQ+OPhmNkx9GztnjyeBeG6CciCYXpmBmQifqdUXv4Gtg+HxFjwbttxObPud3K1O5u4gqr/YH0X7L/4att7FyInvRJ1wVgj9HM28+hPtryrSz3eX8MoV3P7DiJY2rl78AfTUw7gqjtPSFkoVZOxxycNivoxfGCZndqObZuAND2KrEQoizUHdzhRZQXsax/KRfohhjw4hmhgEZSwGyVp9CMAXFvHYUdLKX/kif//GDQTFQT501Xv5u6s/jNu9D0cP4ymHQ57GjoS5BAJpyDCyVIpcLsezz4Yqk9XuAzjBAPuMOGtOOQm04pyzz+afr/lMqCUjEwgRR+kaVtRR/Adf/w6TZi4gLmrYwkJaPWjt0pzL8fz2F/jpL3/GzZ/7WnQ+mtu+cSszZ86kgCYrBKYwWTh3AdNOO41n7vkNF11+KZ//ymcQYqyhiI7waV31GM5m0bEY2gs1aoY7u9BKUBkAr1Lhy1/4AitOWkXMS1E2iiSkJD1xIiN9feB5DKhhtJTYkUOWQqCEIB0E4GsCw2CwWsWPuPeBaaJqboidR8djOA7UatQqFbBtTMvCsBqmykJg6wDXsEkmE5RKUV5GCJQywQAZOX0Rbdc3o/yEaeKYJp7n4fs+fhCgXJfCwYOU0mPFTYFSyAj6MSwLIQS5XI5qqYiK9H9Gh45MJkMymaS3tzdMDgMdkeN2HAfH9xmuVPAPHYIFC2jr6KivlzYMCkCuXMaKzjGTyRBXisMTwkEgN3ky6TVrmCwEPPwww7JCVY1FvDNjMVpbW5FaI70dwARS6TT2lMksvOYa+jdvYr9hkBeQCdzQK2hFcyI8v3xfP3n3WMmAgmFQtSwm6gqvyf2O2qU/4NEf/JDOeJzhkWGIx8lkMixcuJD777+fvf39zCmVKMVizI7FmX76abS0tHDPD37AMBJZayFIm1x66aUsWrSIn37jG2w53MODBY+2ZofdEVQzksnQ/FlB8lU++50DbDtjMXathus4JAr9QDho9ppFJvRNAJ5hUvZxykYaNByIHyIIvkEmVOsg1WpAVMOX9tqIJ6YzPPIMRsbhSGsne5ofYBIax55ARQ2QMxROZoSicIlFea+qqDEadrQGTbT6E1A6rC6vKsVtyz7Labv+kQluC1vjJZxSloeeeob5zgISWZMuLw8PfJptw5N4qDqHNWcuY3hrEmf3I8SWvhH99HcYMNp5w73tnJku83HrXjiwGWasOea+/DH7q4r0t9y3g4QcImUMooa70dUh4nKErNmDzu+HkS7KI2PTWt/1SJR3kYtoWF5xBN8PGPYcTL/CRL+I5XmkZTe8RCGWVmCqCr6O062bMIUHaGplj2w2yw1f+jLX3/AVPM/j1etX8f0ffJ+RoTymKnG4q5eBgR5891jqp1aaTCbDzJkzueOOOwCQfoEntnWSjVvc98ufc98vf8mHP3QtCAkChEyhdYVAh2qbG9afzU3f/nfycYHSiue2voARVKlKm0svupAv3vRlhgsjzJo7k3JQZsO6s7nx2zejtcA1PZ59/jkA9u7fx6Kps3j/u97LeRvO48Xt21i//kzuuusuKpUKhUKBX93zMBXTRhkGU6dO5dmnt6N9nzt/Hc4ohrJZTl+/nq/eeCO+O8yg2cOevXtxvdFqyQjDVxHVLXJghmGgpCTtSdK+ppRKEihFLBYL2UdSovKDKCnrUflolD4Kw1iOU4dR7IjdQ8ROSqXSjLXMhiBSsGwcJAzTJIjWNy2LXC5HW1sbaI0XBAT5PJUoWZxJpzF02A59lNk1rkVlNPvRiLqcRCjjYIaRvwj7t1oN+09rzVCxyN4JE2iKx8M8Q7Te2WeFuvHOUXmLNsuus5VyM2YA0D43xLpHRJkKPslikfnbtzN36lQMw6BJCLqbQseZyoU5o9wlF9O6OIQJerNZsqONVrSiOZIa6N/fSXe1iqM1s6NZCMBwKkUtFiNj+LTKApMnTyaXzVBJJMiXSsR9H8MwaGlpISsEBwyDWlcXlXiclmyGtWvXsnDhQrJSUjQtgnIIY8yZMwchBE25HFoq8sonFYTU18nJBMowuOMNr8dUvXhWlHiNBlNfj1Vgtxw+SPargravJqj130Ms6g/RmdyDrcH8wkTETR0kG9pFru1bzL6v7iXoLqFNDyciRiwnoDlxGhW/n8ubXOICCrJKzEghEORk87j7s6g8D0/D40WfX5UPMxTvZVhUaVJJDmXDZyRwEqzx57Oi+SxeHGnjd3o99x2ZxbTB3SwceoHfq3l4e0MGT+nwdn5fm87G/MOIfQco6RjsuIc/x/5qnL5SGn/Lz8JoWxuYqoTwy/iqlYJKE5cFkkYeuxiW6Fd6D6D69iAbqj3xq/iBhSU7qAUtJGUaQ2QpeOm6AIevRqtTo3hfSyQptJ5MMj2REmF05RaLuBWXxRMznDh/Dj/46X0sW3MJb37tRk4/fQ3LXnUJr7vyGkqlAn5DpeYoe0eVh/Fdjx/84AfccsstLD3xRJaddSE/+fUjeAPdYbMNmcEgG60jOHPjqSw/dQWLTl3Fh//pI3zs/dfi+T4XnnEyp5yznk9e/xnApOKZnHfua7j95z/mggsvoKoNqhhc8/4P4fk+p5x7OhvPOoNPfTFkCdz5i5/wqnUncdK5p7N9904uf/NrWbFiBa+/5BKWLVvGm970N5x00upQaMw0ec973sM3v/sjTluzhq5yKYRNhOBvrriCOXPncs65F/PqMy/g2muvRUTO1Iqcpowml4YVDgKmbaOkRPgKfEEgDRKJBE1NTdi2E+LqI+HswDgah7cs0BrTtjEMgwkTJpBMhdF4YJqgNVJKDMNn1PH70gi/b1R5bBwA7HCmKITA0ZoqMFStoQyDpqYmUuk0RjQ78f2wIXgjHGRIMRbpH6XWGU+EzWBiyfHMjrRl0T1xIvnmZk5dv37cTHXpaadx1sKFXPSOd4xbZ9rCBfW/c5FGf9OkSRhBwJAoUxGKzPAIS5/bQipy1G2pFNUoEZ1ubauv37ZsKRDmMHJ1jT5FsnwYU/n0eB697e1MTCTqEJMtw57CAFlb1ZlZo8fSm0iQaiA+nNDeTm9rK3t/9atwP5GcN0AuHqcQc/ATOewgqDcWyjSHjnRH5lOIqDBx3uIxHNvUu4iV99U/C6WQUf9hF5/DUwX3bdjA460nU7z7ee5K7WVvLWCP83ta7jLZfPppPLX4ZPp+8hmuONLM+5t8Hj+U4bHWExh4fB4P/cciCoR1CBvvzbD/Iy8gviuYbSviP45T1iXiRpykmcMSFs+UfX47HMJGU1QaT8MuEx5YOIOUt5YBS5IUFk/NLGNMmcSGJ7eNnYthsXlHKHCnWqbS+9QjbPFmY40chHwn8eIBDrkdSLdCLKjw865F1A79edTNvxp4p3t3nvnG/Qzqi1B6JobowQgUihxSanaqLC3CpUX04pZGiPsDEOmxF82puOUhMlYZQ6QxhYVpWoSvtI0pM8Boc2oPEwtfeZjSIhwXQ6fgjLhAhsEXuwm8Xtwhj5Qs8svv3kBVJTmAxfvf/Wb+9sorsVWRvG6iSeQZCpp5+IHf0c1BAN75d+9ktufh9h6hwwr48bf+HSdmYFZ76PZacbTEFzEsS2PpUL3g2c1P0WP3MplmqmXIWqHj+PLnvsKgXSNRVeSMJJoulKuY0DaBcmeeLmsQqhaB4WInLG783FeoaIVlSHSk8nfN+z7INe/7IMVA46FJJ/rxDh/mvW99Kx9+3/sgrfnoR/43RhCQa25m9uzZPPqbu0kmm+mvVrn22mtJSJ9MLsdH/+EfuO6DH0JJ8A2T1gkTgLHIWkVa9GYEdxkRrEJghIVYEW4PYMbi1NwqlVwTaIU5OnBETlYZBjII6k7SMAysyGEEpolUYZ1ALFZEa0G5lENLiThKPrkx2Wo0/N3U0cFgVxeuZWIZBrFo/4aUuISa685R2kJSUM9dyKOi81wuRzabPaauI5tIQLmMpRTLVqwY95sQgnWvfz1H26kbN/Lo82F/6FjDdcm4NQb0biqGpjWVxJ49i/jycJsTOjrYsTssfkpPHBM9mxr1fQBoiolQXUErxFAnLcl17J8+HSEEq84/n+HhkN0yIZvlYFTUl43putNvmTQJXniBcjJJRwPz6aSNG3n229/mVwcPQSJO88SxHg3NuSZc16W/VCLZgFNno3xH0jOpRnm7ecuWcWBggN27dyNlAkUVSNOayRA7tI9eJwEaCiLi0VcrdE+ahD9o8MS0J3mk7Tbe+8gI+6tLqEwIczA79p3Gwq4DFLMtHIoqtDvFfNr/eYiPnp1mU9tOtjavo29OG229vZz6rfuZ9IzL4bNGcDLTaI+FM5R84FFw96P0PKQQVAT86/k5fAMQV7Kvv8jJQ5pL8xuZ/sxPYP476+fqtE+ldngn3cmJvCn7Ag/vzcIQ3CJX89Z7ryeDolo2cRJJ0otO5sgTD/D7LT2sjd4ZSv2w9S5Y9a5QAO8P2F9NpD/86xvIGlMY1Y7ROomrwhtkKcF0ESOtMygdRxYO4SmJrwRl1Y7jOcSMJqqBCVgR5XGEogohAlM6BNpCacVo+k3pAKUVWltoDHw8yqKGG+l8mNpE+1UCnQ7hEhwmODECHcOOOPC+mSLQJvFiH1ZhfIs8DSTkYDhDoR+z2oOrmnG0JGlmkIaLF1SwotLxkl0iMDQDToWSNSbPKhDkdAIv0hjwVBxHxoibYcRrGAGeUaNmeFRlhPMKhdMUi2QVoKAUw7qKH21P9FQoV6pU43GKlUpYXSgEhjQwDAOhFYE26jOYjC6QsXyEEFhShlLJQmIoVe8yJaVEah053TEhtlGHVVPhIAFj0IdlWXha1jnvow650ZlaR7FjDMOoJ+1HFT5jsXYcJ4sx+v1R1Nt4hD23traO27Y0TVqmTCGbzdLc2lofKGIRtowQpLPZcdsyDCuSERXjFEbr9+s4XcCc6HCmOE59wPtjlkwm+chHPsJVV101bpvNliQvA6q2Tbajg1m//CVWhP1PmjWrvly2obVmLBZjVhTBN0+LZgD5TqgOcf6SJs4++2ze/e53s3jx4npjoHNe85r6+rmkqDv95qljavFpZ4y2OHHmTBaVyhQTYcTeHCWDAVo6wsCgr6mJVMMgmo1yG/OkQzFqQN7S1sbll1/OXCkpJ5vwnDjT3QLvu/pqJiQcXCfOvYUyD0fSItnOnZw+dTI9rRM5fWeFQmyAWmIRWxcvrg/2nTNn8thJp1HtC49jwwmzKKVS/PasV2Ftd7j+0CCD2bDYqr+1Fbk1GmSr4eC9uu3VDAc+ZesZcu37KUTjVtkA3wyfBSfQPNZqMugr3jR4Lkde9WYmpk6qM87izmweaD+TCybu4mexFdTaJjFjZoKqsrjnV89xx4HFeH39+LlWRFsrgePQXbBhOKqIvvcTcM+H0FvuQKk/rCTwV+H0aw/fzLyBW+j33gaGwDMlPkk0DoEOqARF0BotBb7uwFAuA7UEeTeLJTIoEWBJm0BnkMLE1y41M0GgHfyoctUQMRRqrCUbGqVVpG1u4qkAT1cY0RVCRDeGJRSBnoAig0WGeE3h68loLamqOKpcY9BrRgUCOwiTiXo0dxBJK/SoZgb9KZSCZjTNJMzIoRiSwGqADSJd7pJfphRT7E8I+o0ASwhqjOAZAqUDfB0jaY45IlMrik6RasynZhapKigJF2FrahH0VTEqDMTHBqWa41BJhTOJmmGQz+f54NVXc83VHwgTn1oTCAOvEp5TTNTqztK2bQLTwJcS86hI1xzFuBu0bE3TxJKSmuPgmyZSiDp8I6VgWMewE+kI7omS4Q1Oru6AIwuPj2j9cP+O0048PiXE+49jhmGQSqWO63CFECSTyXG4fTyRIJdKkTIt7KMKw8bh+8af9nqdcFbYRWpNgyP9U8xxHFqOar/YmstRjcXDASmXG/fb5IUhY0gGAfEGeAXg0ne+kzPPPJO5J58efhHhxdNmzmHt2rV1xlBLSwuf/OQnmTpjBqsf/z2JUommjKwPtI2DyewZ08ftY82559T/bmqI9FujnARAuqFndDqqZE4So1BziXte3VF3tLVRiccpJ1Oko7aM01aHM5rtie+Q55cAeNpn+fnnk6iVmTCUY7Z1PoVEMyZw5ZVX1velhKRUaSNeqXLa5W/h6quvZopTZsvcE9nRO5PANFk+cSJaSu5+3UWMXHIx6YExhtRjRc28nMO6xRfxojtIv9LsyAa0GIIPTm3nkUMmU4XgY3NtKkrz2uH1VJXgLv0kWmsmuNO5tfkGHktMpru5j7ZJM9hnnkDMDjhcyXKg1ETGmUBHcgE9B/ZjJJL0VlPo7ueh70XUs/+Hp/OTufEL3+WWq67gD9n/bKcfuKjHbkbefx37Kx9HkqLsFSkwhERgChuFoBKUyfv9VGQNMKipDI6RIGU1obSin+FQh0M6SGEQaAM8g6I9TCWicUkRthdxRYjpB2gUGiNK/AWqSlCrUpElXOGhI6cP4OtWDEyqQRmBwNcJhr0kWpUJImev/MiR+WVa/SaEmoGvM8TNLIEhqKmmCLkPzdIJLD3mUGy7CbNBNdPFJeHVqJgF+s08SvoE2seWYQLU0wEVVUXXYuSqJpO9Igmh6LfyCIYYOniAilIMB5qaEeqQlxKDSDVIOZnEsiyaEwlMzyNRKpErFLAivDyRzhAYJtUINzcIwmQzEIuWQYhjonB7NFI/KtpNpFIow8CzLGINL309EWraxOPx40fJzrHa86Msn6NlneOjeL/8yx/7RCZDpr3tmO9lwzkf01XrJWze6tVce+21zFq8+C8+ronTxgqu5q9dO+63VDZLrFLBqdWOgZ7i8Tjr16/HnBgdw47QadI04yX3dfaXvshbUyliGQciOqthGFw4dy5vXr6cxZePbwDecc45zMpmSUaJ7fr3Cxdij84aG/IdjuNgei47UsvZlUxiN9z/6fPG5JkzufC+nnDmq8PzHtQ0C4Ht1tBofM9jzkyD/tY23vPMgwxnsixvaaW9vZ0LV3ew2HRRhsHBWAfNQYCQkkwmw7oN56Kl5HfOKgBWrl5Nc3MKTxv82rYp1joJtObRaoGqhtSBLDxX5stnTOZtayzm//oj3Pr59/HBiVlalwa8ZutmdkwzeMLUuErzXDXgIrGKoqzRplP8MLiCI7EYnzz8t5w7cjoXqrNwWmYjEhYrpyvOmPRG1vhLeVPpDBY0nYIiTf73P8Z95F/5dfdcftt9Al4gGOkfjyocbS87pi+E2Ah8hRCn+abW+nMvtWy1ew8PfPsbzMpcjmUsYcvgQ7SotQRB1NRDSFylESKGDspUK3ni1gR8nSNh2igdUFIVTJ3BF+BEVXIKSU0OkimWKSSqoMMp54hRxqwFFIMhalIjG8bEsEGywPIUQ06JCV6MQIdRZqjnqKj4BRwjTlXl0GqIUf2XwEpgxXNk/REsApr8UY2YdhwfYhgRbBTeDo3GVtQ7KAUovHIJy4xjBVWEVtiygpko4ecVHTKGUCMEdjMWoaBWSUmUFGgp0UhKXhYr8EMdcp2haktQLiqwkKZPizCI+2VKdhbHMGiOIsgWIZCp1Lhm4MlMhlI1alghRdhbJHohrQZHZx0VBduxGBSL9SKtUYsnEiFWLASxxJhKp2kILEMyXPFoSTm4vqLs+mTjYTWtUmpcZD1q0jBABRjmeM14J5WCQgHH+O977M3oHAGcROKPLD1m8QaRt7/EJs6fD9u2gdZMiCL7RmvzPGp/iN8dz0F2GnSFNOI/5PRjCxYw8brr4Pf/Ds/dzu/qVgAAIABJREFUGlaQJttY+cY3vCSu/Jb3v/+YynYzFmNRJs0ztdo4VhNQf64ApjVARzPXrYOHQ+XOTFM4s01nmoirMkokkcoi5bl4QK1UIpNpgsNFdpeXo5OSKSfMBGDl+e9hSvsTvHB3yMNvTY0NOrNXnIl11/0caZuE4ftMXLKEv1u6FM/zuPGrX2XHjA42lR4h559MMbOTe82DzDn0IFN3n8Sbqv38xxkbAXj02mtJlMukRwr8+LZtfH7tOXQ/73Dm8F6ere5CJ2ewzDmJYHgZ85KSgIBDdi+WNlibuJCnYjeST7yBqRXJNdO/w5nDp7Ehv5B0M/Q88yW21DJsH5rE4dZJfLrlJ3x/z/KXvGfwMjt9EYqr/xuwATgEPCGE+LnWetvxlh+uWewvL2Nm9tU85j3F1vRhzrFsBA5lajhYlGUJZQhQMdCKEhWSMk5AQL8xgilNhK5S1QYmMUDjiiKGtHATWVKeR94o4EsVNhdxJIFSIA3K2sfSAQGKwBRo4pgECE9SES6OtimJCjFtU9MVAtuiSIWEsNGWA1KCUnhOHCWg1W9GoShSIdA+lrSp6CpxYsSFQ5EqngjGFDCBGqFaoEIR8y1Gk8qGVyXwFOVkBG/oGKbycYARVSDAQ0sboQK0CGmMnmkh/AxaCLLJJMOlEloXiFcdknaGsldFSE2upWUsOXoUZh3dRzKZDPl8PsTZXRidNAohiBkG1SDAPsrp2YkEFIvH0A+llMQsG9f3xkXuUghaUw5dwxW6hyvkyx5eoJjRkqStre24/WwBZDKNHs5jHLV/IQQdHR3HXee/yizbpqWlBSuSeXi5rW3+fJYODrJsw4bj/v6mT3/6WDnlo611NgwfgGQ7OOk/vCzAia+Hez4E3zkv/DzrbLj8x+Mc9qi91DV59d//PdY3b+Hk179h3Pd+NHBfvmIF0zZuHNuOaTK1t5uD7R1kmscgrkkTauyRUzF8n6m+zwBQLRXp3nKE1qBCX1sIK01ftqy+TtuSJcz74hcZaGlhQcPsSErJ9KDMbstmXq1WJyMYhsHKk07it+Uyc3bvYc9MjTJ8Am2x7YSZLOk/QGrgID1TIrmIZkFfWzMH1VQKBw7yqkd+SV9bOz+bmQDRBpTQ/l6WmdNoy5/CocoOnhvuI6dNFuVOJBU7j6Xl6WwbeohTR1KUxYtsNx0WpOZz98HleMpn/rT1XGKeyCbjRE6ZnAXGFDyPNnE8PZn/LhNCnAp8Umt9bvT5IwBa6/99vOWnTZqqP/LuqylSpSRrCGVy7rlnM336NLQMy+rRGqENlIyqZoVA6nq7VIQSocSvEA2NSzSW61Gz7VCpUohoO5ogWl8oDTIs9EGISLte1lv+gUAiUI19UMPJQCiVIDSGCqVe6pLCOpwVjFtHqXBwiLLwRqBQ0iSOhUZTwQUBsZoLOsB0fWqOhefEGG18W4yXSVQtpHDq2xm1XFOWUnEAw7JwSwolBDGhaZ44md7D+/GFVV9HKEXSCshMGI/FHs+01gwNDWFbJsmR3ZDqgMzE+m8jpSqV4+STjEqZeDpJKjl+FqBUWBV9dOQeKM3+gRLFmo9tyvo1zsatl2xCVvMVwxWPOe0p4vb/PILa9u3bWbBgwR9f8P8te/zrcO/H4dJvw4IL/rR1HvoCHHwc2ubB7/4VFr4WWmb98fX+iD3ymz0M5n0uesPcYwbrkc5+fv/gAc54/RLMqBNYpVbmm/eXcaXF+VNdhnb+lqaOieS7uyi3TONRvZJlYoiL1o2H5ir7+hG2SWzy+DxIYftmeg50M+vzz4wv+iwW+bcbrqcSQLIyzK+XnoLRUeLE/Dayz8YIDJPWoMo5b02SziyhXN7H5l/sYU++FaECyo5BX7KZ56fO4dRdW2iuVrCj9qZuY4MJoE1lcPEZlmVkYIdNY4SiVaVJBQ6BUAQCaniYSHI6yZs/+zdPaa1XHe+avtxO/1Jgo9b63dHntwIna63f17DMlcCVAFM7Jq/8f97+bpSIY460U5WSU952IpPmTCNZqoTCW7aBlhZO2UboUFtbCz/k1yuLwPApZiDmuTglHzSUUjGEFWASoLUgNuSHxRLxGG7cxnDLSEtiVXx0TSOVophx0BJMT2K6kq9++Xru+tlPMaSBkJIv/POXWLH8FJQYQYqwuUJKx9FoPnH9p1m9eiVr169Do5HBKA3Uw7UCTKV5bNNmDMdm8RmnkVZFMpVWBIKSXcOpWSg5yAubn+a0yy7j1p98n3WnnI6pDIyYRS7Xwp6hPSQrBpZyQlnkmM0dP/oxl1xyGZOi5JpSisrICPF0GmkYeF6ZUmmYqz/wUd53xRUsXboU4ygO+R81rcO2b6kOiI/NCrqHq/QVjt+EZkLGoT1zfEGq4+9C4wYK25CUaj6Hh6q4/h+OVg0pmDshhfknJlNfTvsf7/RHfcKfMyNSCn59LTx/x8va97XR9GgbBxH2PRj1cFIaYSD4n93g1JPhnccWQpUKQzx862cZmPgEI5kEh1SGycmJrGs5D7+YZMHCFXV2GoQS6s8//zh+Zog9h75ITRvklUOzrLB92yl09NSo6YkIkeb5BRZxXWLGdhdHaxQS7bcwMNVnV3OapsMDzM0PIg0DQxt4SuBHFcDKrPGJT3/iJZ1+qO/9Mv0DLiPE8Uc/vxX42kstv3LlSn20bdu27ZjvXm7bvHmzPuWUU3S1WtVaa93X16cPHz78F23zuuuu01/4whf+4DIf/vCH9Zo1a/Tb3/72P2mb69ev10888cRfdFyv2H+9/U94hl+x/28b8KR+Cb/6codBh4CpDZ+nAEde5mP4i62rq4vW1tY6/tza2sqkSZP41Kc+xerVq1m8eDFXXnllPWH1jne8gzvvvBOAGTNmcN1117FixQqWLFnCjh076Ozs5Oabb+aGG25g2bJlPPLII8fsU2vNnXfeyXe+8x3uvfdeqlHnqM7OThYsWMAVV1zBokWLOOecc6hUKtx55508+eSTvOUtb2HZsmVUKhXuv/9+li9fzpIlS3jXu95FLWrhd8YZZ/Bk1OQilUrxsY99jKVLl3LKKafQ0xPS0vr6+njd617H6tWrWb16NZs2bTrmGF+xV+wV+59vLzfg+QT/t70zD2+ySvv/92Rp2jRdSfctBZqGNF2gyqKAbMOiwCCIAiowuCHjT9EXZS5FVEYYl8rw8vIioD8XHIWOv4oLKspShhmYi5mW0p0WW7rR0i1t0yVJkzzn98eT1BS6JXSdns91cdGc7T7nyZP7uZ/7nHMfIIoQEgngOoBVANY429iNXbtgzHcwtHIvSCaoEPjyyz2WmT9/Pnbs2AGlUol58+bhoYcewj333INnnnkG27dvBwA8+uijOH78OJYsWXJLfblcjkuXLmH//v1ISkrChx9+iI0bN0Imk2HLli1dyjx//jwiIyMxbtw4zJo1Cz/88AOWL18OALh69SqOHDmCDz74AA8++CBSUlLwyCOPYN++fUhKSsIdd9wBg8GA9evX4/Tp01AqlVi7di3ef/99bN68uZOc1tZWTJ06FTt37sRLL72EDz74ANu2bcNzzz2H559/HtOnT0dZWRkWLFiA/Px8Zy4xg8EYQgbV0qeUmgE8A+AnAPkA/kopzR3MPvQHMpkM6enpOHToEPz8/PDQQw/hk08+QWpqKqZMmYLY2FicOXMGubldD82mrBMTE1FSUtInmUeOHMGqVasAAKtWrcKRI0c68iIjI5FgXY3QXZsFBQWIjIyE0hqUa926dTh37tbDql1cXLB48eJb2jp16hSeeeYZJCQkYOnSpdDpdGhuHhqfLYPBcJ5BX9pAKf0BgHPh4W6iN4t8IBEKhZg1axZmzZqF2NhYHDx4EFlZWUhLS0NYWBhef/31DhfMzdjcQkKhEOYuzuC1WCxITEwEACxduhSvvfYaUlJS8O2332Lnzp2glKK+vr5D6dovcxQKhR2nctljczX1htgaJvjm/nEch3/+85/9tp6cwWAMDcNvacMIoKCgAFevXu34fPnyZURbdwjK5XK0tLR0+PD7ioeHR4cSFwqFuHz5Mi5fvowdO3bg1KlTiI+PR3l5OUpKSlBaWooVK1bg66+/7nObKpUKJSUl+MUacOuzzz7DPffc0+f+zZ8/H/v27es0ZgaDMfJgSt8JWlpasG7dOqjVasTFxSEvLw+vv/46nnjiCcTGxmLZsmW48847HWpzyZIlOHbsWJcTuUeOHMH999/fKW3FihX44osvemxz/fr12LhxIxISEkApxccff4yVK1ciNjYWAoEAGzdu7HP/9u7di7S0NMTFxUGtVuPAgQN9HxyDwRg2DOo6fUe54447qG1ViY1hv8aZwegFdg8zBhpCSLfr9Jmlz2AwGKOI4bdH3Y709PQWQkiB9aMXgKaTJ0/GWiyWjtlPjuOEAoGgywDS3eX1VMdisYiE/FFLfa7jqByO44SUUuKInP6Qbz82Z/rsiHyLxSIihND+vGa9tXXzd9ff94Z93u1cyxs3bojUanUZgKYuxHh1kw4AcgB1DtbpLq8v6TfLc7QtR+vIAZj6qa2+1BHDset5u/Ltr2d/fmdd5UV3U254K30ABbZXFELIIUrpk5mZmSUajabjiyouLo4YO3ZsaVeVu8vrqU5OTs4EjUZzywL0/pRTXFwc0dbWJnVETn/Itx+bM312RH5OTs4EqVTa1p/XrLe2bv7u+vvesM+7nWtpsVjkAFIppU/enGe7z7uSTwhJ6+qVvZc6Xeb1Jf1meY625WgdQkgagEv9NZbe6gCY5Mj1vF359tezP7+zrvKs17JLRpJ757uuEr28vBq7Su8pr6c6jrbljJz+7vNg1Bnt8p2p08t91uX93EN6T/RUx1E5/dnWSJTvTJ2hlt9bXieG9URuV5ZNZmZmSXx8fFevZP1Cd5b+SJUzVDLZ+LonMzNTHh8fr3C0XneW/kDB5I1ceT3JGu6W/qHBFiiXy2v/k+QMlUw2vgFhsH8PTN7IldetrGGt9Cmlg670AwMD+/QWsXXr1sDx48fHKJVKtUqlUp85c6bbmMSbN28O/vrrrzudRnGznOPHj3ucPHmy2zakUmmn43D27t07Zu3ateFdlX3hhReCt2/fHnBzek9jmzhxoqq7PGfo63UcqTKHYnyD/Xtg8kauvJ5kDfeJ3GHJqVOn3H/66Sfv7OzsPDc3N1pVVSUyGo3dhunes2dPr5FEz5w54yGTySy/+c1vWm+nbyaTyal6GRkZ/Ru5jsFgDEuGtaU/XLl+/brY19fX7ObmRgEgKCjIrFAoTFu2bAnSaDQToqKiYlavXh1hO5ZuxYoVio8//tgHAEJCQmKff/75YLVaPUGpVKozMjJcCwoKXA4fPux34MCBAJVKpT5x4oTMkf6sWLFC8fjjj4dOmTJFuWnTplAAyMrKkk6dOlUZERGhee+99+QA0NTUJJg2bZrSJvsvf/lLxzFBtjeJ48ePe0yePDl64cKFYyMjI2OWLl0a2evxegwGY8QwLCx9QkgLpdQhRQcApw/nh2mvt/T99GkAemObTCAQdGgxF5FET8iv5xf6hsja5q6dUA4AjY2NHtXV1QHR0dG/2LexbNky3Z/+9KdghUKhmT59um716tXa++67r+XFF1+sSUpKqgKAe++9N/HAgQOSTZs2FQJ8wLKMjIx4SqlQLpeb8/Ly8t966y2/t956KyA5Obl07dq1tTKZzLJjx45qR68DABQVFbmeP3++sLGx0fvll18el5+fb0hPT89rbm4WTpw4Ub1ixYqmkJAQ0/fff/+Lr68vV1VVJZoyZYpqzZo1jTefW5qfn+92+fLlYoVCYUpMTFSdPHlStmDBghZbflpaWqK3t7d2/Pjx12xjy8zMjJdKpa03X6v+5tKlSxMnTZqUMZAynJGbn58fHRoaWu7h4dHmrAxCyP0AvgIwgVI64G9ehJBXwIc2t4A/YfQpSunFAZYZCv6cbDV4o/M4gBcppe3dlN8M4BCl1KHrav1N76aU/pf18xYAMkrp67fR/Z7kWQBkg1/7bwbwKYA9lNJhZzGNOkufEEAidm2z/bNX+H3Fy8uLy8nJydu3b1+pn5+fed26deP27t075scff/SIi4tTKZVKdVpaGq5cueJqsVgIALS3t7uJxWITAKxZs6YBACZPntxWXl4u6U5Obxa2fd+XL1/eIBKJ0NDQ4CsQCNrnzp1rlslkNCgoyDxt2jTd3//+d3eO48jmzZtDlUqlevbs2cqamhqXioqKWx78sbGxrePGjTMJhULExMS0FRUVudjnCwQCzmAwuNnG1tjY6GkbG+O2WA3gH+DPmRhQrOdVLwa/Vj0OwDwA5QMsk4B/qH1NKY0CoAQgA7Czh2qbAThk2FkxAlhOCJE7UdcZ9JTSBEppDIDfALgXwGuDJNshhoWlDwCEEBmAbwD4gH9abqOUfkMIUQD4EfyP4a7Tp08HWCyWeqFQSG0WuSNYLbYC+zRKKUpLS0NbW1s9OM7scePGDbltos5isQgLCwvHGY1GV3d39+bIyMgyQghEIhEWL17cvHjx4ua4uDj9Bx98IC8oKJBevHgxb/z48aYnn3xyksViMTY0NHgDgNFolHl7e2sBBLu6ulKdTietra2NaG9vl+Tl5aksFksrAEt1dfUYrVbrtWzZMi8AWLRoUfWePXsqJRIJZzAYiKurKwUArVYrksvlHbtPZTIZZzabBa2trTKJRNKg1+t9Af5txWQyeTU2Nrq+/fbb4dXV1VxWVlauq6srDQ4OTiwtLQ1qbm52h93RoRKJpONhYg2vfMt8hYeHR1NDQ4O3XC5v0Gq1vt7e3trW1lYZAOh0OmlFRUU4x3ECgUDAKRSKa1Kp1JiXlxcdHh5eJpPJ9ACQl5enCg8PL7V97is3v4Fdu3YtXCqVtgYEBNRnZmbG+vj41Ot0Oi9KKRk3blyxVCrtOsa1g/Qk93bbtt7/dwOYDeBbAK8TQmYB2EIpXWwtsw/8MXifEELuBbAb/A7PSwDG2sr1kSAAdZRSIwBQSuusMhKt7cqsba+nlFYRQs4CuAxgMgBPABsopf9ycJhzABgopR9bZVoIIc8DuEYIeR3AGwAWAKAAPgB/TwYDSCWE1FFKZzsgywx+BcvzAF6xzyCERAD4CIAfgFoAvwO/mzUT/HXkCCFSAAXWzw4ZNJTSGutZ3/+2jksA4C0AswBIAPwvpfSgtS8vgT82lgPwI6X0D47IcobhZOkbANxPKZ0E/sZ/j/x6/HwU+AsVIxAIuPr6eh9nhXAcJ8jJyVHn5OSoCwsLxwFAdXW1XCgUWmJiYvJjYmLy6+rq/PR6vQsA6PV697CwsHKNRpNrNBol9fX1PpmZmZLs7OwOCz0jI8Nt/PjxRgAIDAw0NzU1CU6fPk1EIpFeq9X6UEphNpslMpmsY5JWKpUaAgICSgQCQVtQUNB1sVjs0dzcLAT4B0ROTk5WQUFBhm0SeMqUKc0HDhzwBYCWlhZy7Ngxn3nz5nU6xUSr1Xp7eHg0CYVCy9/+9jdBTU2Ne21trSAtLU00f/78MgA3fHx8SEtLi/d3333nUVVVBRcXF0NMTMwVAA698YwZM0ar1Wp9LBYLMRgM0pvHplKprmg0mrygoKDrFRUVodY6dXV1dXIAaGtrk3AcRxxV+H1BLBabNRpNvlwur62qqrplFdMwZRmAE5TSQgBaQsik7goSQlwBHASwiFI6HbzycpSfAYQRQgoJIfsJIfcQQsQA/gfAA5TSRPCK0d4Kd6eU3gVgkzXPUWIApNsnUEp1AMoAPA4gEsBE65vH55TSveCPU53toMK38b8AHiaEeN2Uvg/AYZscAHsppTalb4s3vgTAT44qfBuU0mLw+tUfwGMAmiildwK4E8AThJBIQsgi8N/7FEppPIB3nJHlKMPG0gf/VN9FCJkJ/qkXAsD2g71GKb0MACKRqN1oNHbrEukNgUDAaTSaPPs0nU7naTAYpE1NTT4Ab90bDAZXQgh1c3NrdXNzawcAX19fbUtLi0yn0xmfffbZcJ1OJxQKhVShUBg//fTTUm9vb7NarY4JDQ1tj4mJoUKh0Nze3u7OcRzn4uLSySdpNpuFtbW1oRzHSSsqKsJmzpwp2LJli/cPP/wg3L59e1tCQkKnmC3vv/9++YYNGyIOHDgQQCnFqlWr6hctWtRiX6ahocHX39+/BoAsLi5Ov2TJkrFVVVXkqaeeMkZHR7c98cQT7QsXLvSfOXNmeGxsbKNCoYCXl1d3sTx6RCaT6dvb2yV1dXW+Hh4endowm83CsrKySKPR6AqAUkoJAMjl8obc3NwgjuMqamtr5WPGjBmQZY++vr4NAODu7t7W2NjotIEwyKwGsMf691Hr5++7KasCUEwpvWb9fARAl9vzu4NS2mK16meAN7KSAbwJQAPgpNXeEgKosqt2xFr3HCHEkxDiTSl1ZHc7QdfGBQEwE8AB6+l6oJRqHRlPV1BKdYSQwwCeBWBvXEwDsNz692f4VdkmA3gIQCp4F9v+2+yCzWidDyCOEPKA9bMXeEN2HoCPbfMV/THmvjCclP7D4C2WREqpiRBSAsDVmme0FbL6sbtdHukkJCwsrMzHx0dnn9jY2OjRVeEZM2a0dbXEce/evZV79+6tBDrcSJXl5eX0tddeC1AqlQUmk0mUmpqqCwoKMv/yyy+Ku+++uzEtLa3QYDC4cBwXXVhYmFddXT2mra3tlvX6kZGRptTU1C4nSVNSUkpMJpMwKysr0mAwuK1btw6UUkIIoREREdcqKyuDAX6V0c8//1yl1+ulCoWi/NKlS74qlaodANra2jIAdLisbG0fPny4rLuL5uXl1VhZWRlmG5stvaKiIkQmkzUrlcoig8HgUlBQEA0AQqGQk8lkOq1W693Y2OirVqvzumu7Jwgh1H4nOcdxne4HgUBAbeXQj/dKb3Jvo90x4F0fGmufheCV47fo/DZu+z30i1xKqQXAWQBnCSHZAH4PIJdSOq27Kr187o1cACvsEwghngDCABQ70V5f2APe/fVxD2Vscr8F8CdCiC+ARABnnBVKCBkLfoK8Bvz39X8opT/dVGYhBmbMPTKc3DteAGqsCn82gIjBEuzp6dlUU1PjZ/sRt7W1SSwWiwDg3Tt6vd6FUoqGhgZfmUzm0MGw/v7+dQEBAZXu7u6d3BgcxwldXFzaAaC2tva2J5vq6+t9fHx86uPj47Pj4+OzExISssRicXtzc7PsdsfQHc6Mzc/Pr66ioiJMKpW2isXiLqNZ9oZEIjEajUY3juOI2WwWtrS0eDo/imEh9wHw7oYISqmCUhoGwGbFqwkhEquLYq417QqAsdb5LoC3Th2CEBJNCImyS0oAf261n3WSF4QQMSEkxq7MQ9b06eDdFY6+JZ4GICWErLW2IwTwHoBPwLubNhJCRNY8X2udZgBdGl99wWo9/xW8i8XGBfw6Wf4w+PlCUEpbAPwLwH8DOG59KDoMIcQPwAEA+6xWwk8Anra6z0AIURJC3MGPeYN1/sB+zAPKkFv61i/ZCN639p01Otxl8Df2oBAQEFBnNBolubm5EwAQkUhkioqKKgIAqVTaUlFREWowGNzc3d2bx4wZ41CwNolEYgoODq65OT0wMPBGSUlJZE1NTaBMJtN1VdcRGhoaxgQEBNi/isPb27uhvr7e73bH0B3OjM3Dw6NNIBBYnHHtcBwHQgh1dXU1eXt7N+Tk5MRIJBKDm5ub08skh4nc1eAn+uxJAb+c8q8AsgBcBZABAJRSPSFkE4AThJA68IrKUWQA/ocQ4g1+0vMX8C6iQwD2Wh8yIvCWcq61TgMh5AKsE7mOCqT86+f9APYTQl4Fb3T+AOBl8FaxEkAWIcQEfiJ3n7U/PxJCqpz06wP8g+UZu8/PAviIEPIifp3ItZEM4Evwk66O4EYIuYxfl2x+Bn5CHAA+BKAAcMk6T1kLYBml9AQhJAFAGiGkHb9eiwFlyAOuEULiAXxAKZ3cl/IDHXDtP43u9hoMFUajUVxQUBAdGxub8+s8fd9oaWlxKy0tVcTExAxqILf+lutswDV7CCEyq1+egJ+wvEop/XN/9K8beWfBryTqNmQvY2QwpJY+IWQj+Kfu5qHsB2NwqKmpGVNZWRkSGhpa7qjCv3Hjhl9tba1/aGjogK4lHy5y+8AThJB1AFzAvwEcHOL+MEYIQ27pOwqz9Bkjnf6w9BkMZxnUiVxCSBghJJUQkk8IySWEPGdN9yWEnCSEXLX+72NNVxFC/kkIMVq3UXdgNpuFhYWFY7OysmKys7NjdDpdtxEqGQwGg8Ez2O4dM4D/opReIoR4AEgnhJwEsB7AaUrpW4SQPwD4A4CtALTg3T/Lbm6opKQkzNPTU6dUKos5jiMcxw2nlUgMBoMxLBlURUkpraKUXrL+3Qx+iVgIgN+CD1AE6//LrGVqKKX/Bn9YcgfWcAMeAQEBdQC/LlskEjm1vMpRbty4IVSpVGqVSqWWy+Xx/v7+cbbPBoPhFkd1dXW18J133nFmx2Sf2b17t3zDhg1h/d3umTNn3B977LF+b5fBYAwdQzaRa11jPBHARQABlNIqgH8wEEL8e6prMBgkIpHIXFRUpDAYDFI3N7dWhUJRLhQKBzyiXWBgoOXKlSt5AH9YSW+RMWtra0UfffSR30svvTQUJy05jclkwpw5c1rnzJnT5/j+JpMJYrF4ILvFYDBukyFR+tbgUikANlu3SjtUn1JK9Hq99FrqCWNTZYXFZLZ4/Z3AUywUdhme1RHkYRFtC57e7NRKjW3btgUkJyfLAWD9+vW1r7zySs2WLVtCSkpKXFUqlXrOnDlN+/fvv/7yyy8Hfvfddz5Go5EsXbq0ISkpqSonJ0dy//33j09ISGjNyMhwj42NbX3kkUe0b775ZnBDQ4Po8OHDxTNnznRoXfjq1asjsrOzpQaDQbBs2TKtLexzQEBAXG5ubq5cLrecPn3a/dVXXw25cOFC4bPPPhtcV1cnLikpcfH39zevX79+grpfAAANm0lEQVS+bt++ff6nTp0qampqEmzYsCG8sLDQzWw2k1dfffX6mjVrmnbv3i0/c+aMZ2trq8BoNJILFy5cdebaMRiMwWHQlb51V1oK+IBKX1mTqwkhQVYrPwj81uVukUgk7WKxuF0sFJoAiAUCgdlisbhAOMCd74HU1FTpl19+OebSpUv5ZrMZiYmJE+bNm9eclJR0/YEHHnC1vR0kJyd7lZWVuWRmZuZTSjFr1qyokydPugcFBZmvXbsmOXr0aFFCQoIhJiZG/eWXX9KMjIwrn3zyifeuXbsCZ86cWexIn/bs2VMREBBgMZlMmDp1anR6enpDYmJijxEns7OzpRcvXrwilUqp/RGPW7duDV6wYEFTSkpKSW1trfDOO++csGzZMh0AXLp0yT0zMzPPz89vUFxsDAbDeQZV6Vs3kvxfAPmU0t12Wd8CWAd+V+I68CGWu8XFxcUsFovbZ6x7skYqlRrLy8uDLRaLQKFQVAxY53vh7NmzHkuWLGnw8PDgAGDRokWNqampssWLF3fakfrTTz95pqameqnVajUAtLW1CfLz812DgoJawsPDjTalHBUVpZ87d64OACZNmqRPSkpyOMjcRx995PvZZ5/JzWYzqa2tFWdlZbn1pvTvvffeBqlUess63rNnz3qeOXPGc/fu3UEAYDQayS+//OICADNnztQxhc9gjAwG29K/G3zs6GzrlmWA33b8FoC/EkIeAx9mdSUAEEICAaSB3/bNEUI2Z2RkcAAQHh5eVlxcPJZSSlxcXIxjx44tGeSxdKKv+x0opdiyZUvV888/32mvQU5OjsTFxaWjEYFAAFvsfIFA0GVM+57Izs6WHDx4MCAtLS1fLpdbfvvb30bq9XoCACKRiFosvI7W6/WdJvPd3d27nBehlOLYsWNFMTExRvv0U6dOeUil0mF3OhCDweiawV698w9KKaGUxllPmUmglP5AKa2nlM6llEZZ/9day9+glIZSSj0ppd6U0lBCCAfwoX01Gk1+bGxsXnR0dJGzwbv6i9mzZzd///33Pi0tLaSpqUlw4sQJ7zlz5rR4eXlZWltbO67zwoULdYcPH5brdDoBABQVFYmrqqr6/eHb2NgodHd3t/j4+FhKS0vF586d6wgOFhIS0n7hwgV3APjyyy+9u2+l0/h0SUlJHRPs58+fd+vvPjMYjIFnyAOu/acwe/bsthUrVtRPnDhRDQAbNmyonTx5sh4A4uLi2pRKpXrevHlN+/fvv56fn+96xx13qADesj569KhDvvquSE5Oln///fcdseP/9a9/5UdFRRmUSmWM1W3UEXt/+/btlb///e8j3nzzTdOkSZP6tDrnnXfeqXzyySfDlEqlmuM4EhERYTh9+nTR7fabwWAMLiwMA4MxyLAwDIyhhO1iZTAYjFEEc++MIHbv3i0/dOhQp41rU6dObf7kk0+GWwRIBoMxTGHuHQZjkGHuHcZQwix9BsOOtLS0RFdXV73tjGFfX9/6oKCg6p52jRsMBpfm5maZn5/foBxszWDcDkzpMxh2CAQCTqPR5AFAe3u7qKioaKzZbBaGh4dXdlfHYDBItFqtL1P6jJEAU/oMRje4uLiYFQpFyZUrV9RhYWGVRqPRpbi4ONIWxjs8PLzM09Oz9fr16yFGo9E1JydH7evrWxcUFFRTWloa2tra6sFxHPHz86sJDAxkLknGsICt3nGCgoICl6ioqBj7tBdeeCF4+/btAd3VOXfunHT9+vUDGqZ44sSJKlv/Dhw44DuQskYLbm5u7ZRSmEwmkVgsNkdHRxdqNJr8sWPHFpeVlYUDQEhIyHV3d/cWjUaTFxwcXFNdXS0XCoWWmJiY/JiYmPy6ujo/vV7vMtRjYTAAZukPGjNnzmxzNEpmV/QUvjgjI+MKAFy9elWSnJzsu3HjRuZu6EcopaSkpCRCr9e7EUJgNBq7jIek0+k8DQaDtKmpyQcALBaL0GAwuLq5ud12FFgG43Zhln4/M3ny5Oinn346JDY2doJCodCcOHFCBgDHjx/3mD179niLxYKQkJDYurq6jpig4eHhmvLyclFlZaVowYIF4zQazQSNRjPh559/dgf4t4jVq1dH3H333VHLly+PTEtLc42NjZ2gUqnUSqVSnZ2dLQEAqVQ6EQBeeeWVkLS0NJlKpVK/8cYb/omJidEXLlzoCJswadIk1cWLF1kYhT6g1+tdCCEQi8XmqqqqAJFIZNJoNHlqtTqPUtrd74eEhYWVaTSaPI1GkxcfH5/t4+Oj66YsgzGojGhLX/v/CsNMN1ql/dmmONC9zfcB5W2tezebzSQ7Ozs/OTnZa8eOHcELFy4stOUJhULMnz+/8fPPP/d+7rnn6s+cOeMeGhraHhYWZl6yZEnkCy+8UL1gwYKWq1evuixYsCCquLg4FwCysrKkFy9evCKTyei6devCNm3aVP30009rDQYDMZvNneTv3Lnz+nvvvReQmpr6CwD4+vpaPvzwQ/ldd91VnpWVJWlvbydTpkzR384YRwPt7e2i0tLSiDFjxtQQQmCxWIRisbidEIKampoxtnJCodBisVg6HuKenp5NNTU1fl5eXs0CgYC2tbVJJBKJaTAO+WEwemNEK/2horvle7b0lStXNgDAXXfd1friiy/e4stds2aNdseOHcHPPfdc/eeff+67YsUKLQCcP3/e8+rVqx0WeEtLi7ChoUEAAAsXLmyUyWQUAKZNm9aalJQUVFFR4bJq1aqG2NhY480y7Fm/fn3Du+++G2Q0GisOHDggX7NmDZtU7AaO4wQ5OTlq25JNHx+f+uDg4GoA8Pf3rykqKhrX2NjoI5PJmgUCAQcA7u7uekIItZ/INRqNktzc3AkAiEgkMkVFRbE4RYxhwYhW+rdrkTtLQECAuampqdORLVqtVhgZGWkE0BESWSQSwWKx3PKEmDt3butjjz0mqaysFJ04ccJ7586dlQAfvjgtLS3fptztsQ95vHHjRu2MGTNajx075rVo0SLl/v37S5YuXdrcXX89PDy4GTNm6L744gvvb7/91jc9PT3P+dH/Z3PHHXekd5cnlUqNsbGxHdcuIiLiOsCf0TxhwoRC+7LWvOsD1lEGw0mYT98JvLy8OH9/f9M333zjAfCHn589e9Zrzpw5Lb3VBfj4+IsWLWrctGlT2Pjx4/WBgYEWAJg+fbru7bff7gizYO+HtycvL89lwoQJxm3bttXMnz+/8fLly53KeXl5WVpaWjo9lDZu3Fi3devWsPj4+NaAgAB24AmDMUphSt9JPv3002u7du0KUqlU6nvuuSd669atlTcfMNITDz/8sPabb77xfeCBBxpsaYcOHSq/dOmSu1KpVI8bNy5m3759fl3V/eyzz3yVSmWMSqVSX7161fWpp56qt8+fPHmyXiQS0ejoaPUbb7zhDwAzZsxoc3d3t/zud79jrh0GYxTDYu+MEkpKSsSzZs2KLioqyhEKh/AwYQaLvcMYUpilPwrYt2/fmKlTp07Yvn37dabwGYzRDbP0GYxBhln6jKGEWfoMBoMximBKn8FgMEYRTOkzGAzGKIIpfQaDwRhFMKXvIJMnT45OSUnxtE/bsWOH/8qVKxULFy4cO1T9YjAYjL7AlL6DrFy5sv7IkSOdYtWnpKT4PvbYY3UnTpwo7g8ZNwdQYzAYjP6CKX0HefTRRxtOnz7tpdfrCcAfWFJTUyNWKBTttoNVmpubBffee+9YpVKpvu+++8bGxcWpzp07JwWAr776yjMhIUGlVqsnLFq0aGxTU5MAAEJCQmK3bNkSlJiYGP3RRx/5DN0IGQzGfzIjOuDa119/HVZTU9OvoZX9/f3bli1b1m0gt8DAQEt8fHxrSkqK1yOPPNL46aef+i5durTBPvLmu+++6+ft7W0pLCzM+/e//+06bdq0GACoqqoS7dq1K+jcuXOFnp6e3CuvvBL4xz/+MSApKakKAFxdXbn09PSC/hwPg8Fg2MMsfSd48MEHtcnJyT4A8NVXX/k++uijnU6ounDhgmz16tVaALjzzjsNSqWyDQDOnj3rXlRU5Dp58mSVSqVSHz16dExZWVlH6OW1a9c2gMFgMAaQEW3p92SRDyQPP/xw47Zt28L+8Y9/SA0Gg2D69OltBQUFHcq7u13OlFJMnz5d9913313rKt/Dw4MdssFgMAYUZuk7gZeXFzd16tTmxx9/XLF8+fJbzqG96667Wo4ePeoDAOnp6a6FhYVuADBr1qzWtLQ0WU5OjgTgff9ZWVldnrPKYDAYAwFT+k6yatUqbUFBgdvNrh0AePHFF2vr6+tFSqVSvXPnzsDo6Gi9j4+PJTg42Hzw4MGSVatWjVUqlerExERVdna261D0n8FgjE5YwLUBwGw2o729nUilUpqbmyuZP3++sqioKMd2ohZjdMMCrjGGkhHt0x+uNDc3C2bMmBFtMpkIpRR//vOfS5nCZzAYwwGm9AcAHx8fLicnJ3+o+8FgMBg3w3z6DAaDMYoYiUqf4ziO9F6MwRh+WO9dtjSXMWSMRKWfU1tb68UUP2OkwXEcqa2t9QKQM9R9YYxeRpxP32w2P37jxo0Pb9y4ocHIfGgxRi8cgByz2fz4UHeEMXoZcUs2GQwGg+E8zFJmMBiMUQRT+gwGgzGKYEqfwWAwRhFM6TMYDMYogil9BoPBGEX8f7GtRuwP7e25AAAAAElFTkSuQmCC", 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", 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" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "bikes.iloc[:, :7].plot(figsize=(15, 10))" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Datos con las llamadas al 311 en la ciudad de Nueva York durante el 2011\n", + "\n", + "Fuente: https://data.cityofnewyork.us/dataset/311-Service-Requests-From-2011/fpz8-jqf4" + ] + }, + { + "cell_type": "code", + "execution_count": 270, + "metadata": {}, + "outputs": [ + { + "ename": "FileNotFoundError", + "evalue": "[Errno 2] No such file or directory: '../data/NYC-311-SR-CB09-4714.csv'", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mFileNotFoundError\u001b[0m Traceback (most recent call last)", + "Cell \u001b[0;32mIn [270], line 1\u001b[0m\n\u001b[0;32m----> 1\u001b[0m data \u001b[38;5;241m=\u001b[39m pd\u001b[38;5;241m.\u001b[39mread_csv(\u001b[38;5;124m'\u001b[39m\u001b[38;5;124m../data/NYC-311-SR-CB09-4714.csv\u001b[39m\u001b[38;5;124m'\u001b[39m)\n\u001b[1;32m 2\u001b[0m data\n", + "File \u001b[0;32m~/miniconda3/lib/python3.9/site-packages/pandas/io/parsers/readers.py:1024\u001b[0m, in \u001b[0;36mread_csv\u001b[0;34m(filepath_or_buffer, sep, delimiter, header, names, index_col, usecols, dtype, engine, converters, true_values, false_values, skipinitialspace, skiprows, skipfooter, nrows, na_values, keep_default_na, na_filter, verbose, skip_blank_lines, parse_dates, infer_datetime_format, keep_date_col, date_parser, date_format, dayfirst, cache_dates, iterator, chunksize, compression, thousands, decimal, lineterminator, quotechar, quoting, doublequote, escapechar, comment, encoding, encoding_errors, dialect, on_bad_lines, delim_whitespace, low_memory, memory_map, float_precision, storage_options, dtype_backend)\u001b[0m\n\u001b[1;32m 1011\u001b[0m kwds_defaults \u001b[38;5;241m=\u001b[39m _refine_defaults_read(\n\u001b[1;32m 1012\u001b[0m dialect,\n\u001b[1;32m 1013\u001b[0m delimiter,\n\u001b[0;32m (...)\u001b[0m\n\u001b[1;32m 1020\u001b[0m dtype_backend\u001b[38;5;241m=\u001b[39mdtype_backend,\n\u001b[1;32m 1021\u001b[0m )\n\u001b[1;32m 1022\u001b[0m kwds\u001b[38;5;241m.\u001b[39mupdate(kwds_defaults)\n\u001b[0;32m-> 1024\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43m_read\u001b[49m\u001b[43m(\u001b[49m\u001b[43mfilepath_or_buffer\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mkwds\u001b[49m\u001b[43m)\u001b[49m\n", + "File \u001b[0;32m~/miniconda3/lib/python3.9/site-packages/pandas/io/parsers/readers.py:618\u001b[0m, in \u001b[0;36m_read\u001b[0;34m(filepath_or_buffer, kwds)\u001b[0m\n\u001b[1;32m 615\u001b[0m _validate_names(kwds\u001b[38;5;241m.\u001b[39mget(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mnames\u001b[39m\u001b[38;5;124m\"\u001b[39m, \u001b[38;5;28;01mNone\u001b[39;00m))\n\u001b[1;32m 617\u001b[0m \u001b[38;5;66;03m# Create the parser.\u001b[39;00m\n\u001b[0;32m--> 618\u001b[0m parser \u001b[38;5;241m=\u001b[39m \u001b[43mTextFileReader\u001b[49m\u001b[43m(\u001b[49m\u001b[43mfilepath_or_buffer\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwds\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 620\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m chunksize \u001b[38;5;129;01mor\u001b[39;00m iterator:\n\u001b[1;32m 621\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m parser\n", + "File \u001b[0;32m~/miniconda3/lib/python3.9/site-packages/pandas/io/parsers/readers.py:1618\u001b[0m, in \u001b[0;36mTextFileReader.__init__\u001b[0;34m(self, f, engine, **kwds)\u001b[0m\n\u001b[1;32m 1615\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39moptions[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mhas_index_names\u001b[39m\u001b[38;5;124m\"\u001b[39m] \u001b[38;5;241m=\u001b[39m kwds[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mhas_index_names\u001b[39m\u001b[38;5;124m\"\u001b[39m]\n\u001b[1;32m 1617\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mhandles: IOHandles \u001b[38;5;241m|\u001b[39m \u001b[38;5;28;01mNone\u001b[39;00m \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mNone\u001b[39;00m\n\u001b[0;32m-> 1618\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_engine \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_make_engine\u001b[49m\u001b[43m(\u001b[49m\u001b[43mf\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mengine\u001b[49m\u001b[43m)\u001b[49m\n", + "File \u001b[0;32m~/miniconda3/lib/python3.9/site-packages/pandas/io/parsers/readers.py:1878\u001b[0m, in \u001b[0;36mTextFileReader._make_engine\u001b[0;34m(self, f, engine)\u001b[0m\n\u001b[1;32m 1876\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mb\u001b[39m\u001b[38;5;124m\"\u001b[39m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;129;01min\u001b[39;00m mode:\n\u001b[1;32m 1877\u001b[0m mode \u001b[38;5;241m+\u001b[39m\u001b[38;5;241m=\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mb\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[0;32m-> 1878\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mhandles \u001b[38;5;241m=\u001b[39m \u001b[43mget_handle\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m 1879\u001b[0m \u001b[43m \u001b[49m\u001b[43mf\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 1880\u001b[0m \u001b[43m \u001b[49m\u001b[43mmode\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 1881\u001b[0m \u001b[43m \u001b[49m\u001b[43mencoding\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43moptions\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mget\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mencoding\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43;01mNone\u001b[39;49;00m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 1882\u001b[0m \u001b[43m \u001b[49m\u001b[43mcompression\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43moptions\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mget\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mcompression\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43;01mNone\u001b[39;49;00m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 1883\u001b[0m \u001b[43m \u001b[49m\u001b[43mmemory_map\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43moptions\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mget\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mmemory_map\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43;01mFalse\u001b[39;49;00m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 1884\u001b[0m \u001b[43m \u001b[49m\u001b[43mis_text\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mis_text\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 1885\u001b[0m \u001b[43m \u001b[49m\u001b[43merrors\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43moptions\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mget\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mencoding_errors\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mstrict\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 1886\u001b[0m \u001b[43m \u001b[49m\u001b[43mstorage_options\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43moptions\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mget\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mstorage_options\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43;01mNone\u001b[39;49;00m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 1887\u001b[0m \u001b[43m\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 1888\u001b[0m \u001b[38;5;28;01massert\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mhandles \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m\n\u001b[1;32m 1889\u001b[0m f \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mhandles\u001b[38;5;241m.\u001b[39mhandle\n", + "File \u001b[0;32m~/miniconda3/lib/python3.9/site-packages/pandas/io/common.py:873\u001b[0m, in \u001b[0;36mget_handle\u001b[0;34m(path_or_buf, mode, encoding, compression, memory_map, is_text, errors, storage_options)\u001b[0m\n\u001b[1;32m 868\u001b[0m \u001b[38;5;28;01melif\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(handle, \u001b[38;5;28mstr\u001b[39m):\n\u001b[1;32m 869\u001b[0m \u001b[38;5;66;03m# Check whether the filename is to be opened in binary mode.\u001b[39;00m\n\u001b[1;32m 870\u001b[0m \u001b[38;5;66;03m# Binary mode does not support 'encoding' and 'newline'.\u001b[39;00m\n\u001b[1;32m 871\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m ioargs\u001b[38;5;241m.\u001b[39mencoding \u001b[38;5;129;01mand\u001b[39;00m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mb\u001b[39m\u001b[38;5;124m\"\u001b[39m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;129;01min\u001b[39;00m ioargs\u001b[38;5;241m.\u001b[39mmode:\n\u001b[1;32m 872\u001b[0m \u001b[38;5;66;03m# Encoding\u001b[39;00m\n\u001b[0;32m--> 873\u001b[0m handle \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mopen\u001b[39;49m\u001b[43m(\u001b[49m\n\u001b[1;32m 874\u001b[0m \u001b[43m \u001b[49m\u001b[43mhandle\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 875\u001b[0m \u001b[43m \u001b[49m\u001b[43mioargs\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mmode\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 876\u001b[0m \u001b[43m \u001b[49m\u001b[43mencoding\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mioargs\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mencoding\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 877\u001b[0m \u001b[43m \u001b[49m\u001b[43merrors\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43merrors\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 878\u001b[0m \u001b[43m \u001b[49m\u001b[43mnewline\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\n\u001b[1;32m 879\u001b[0m \u001b[43m \u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 880\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[1;32m 881\u001b[0m \u001b[38;5;66;03m# Binary mode\u001b[39;00m\n\u001b[1;32m 882\u001b[0m handle \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mopen\u001b[39m(handle, ioargs\u001b[38;5;241m.\u001b[39mmode)\n", + "\u001b[0;31mFileNotFoundError\u001b[0m: [Errno 2] No such file or directory: '../data/NYC-311-SR-CB09-4714.csv'" + ] + } + ], + "source": [ + "data = pd.read_csv('../data/NYC-311-SR-CB09-4714.csv')\n", + "data" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "197" + ] + }, + "execution_count": 36, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "data['Complaint Type'].unique().size" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "HEAT/HOT WATER 37193\n", + "Noise - Residential 34161\n", + "Noise - Street/Sidewalk 20182\n", + "PAINT/PLASTER 10973\n", + "UNSANITARY CONDITION 10767\n", + " ... \n", + "Overflowing Recycling Baskets 1\n", + "Advocate-Prop Refunds/Credits 1\n", + "Advocate - Other 1\n", + "VACANT APARTMENT 1\n", + "AGENCY 1\n", + "Name: Complaint Type, Length: 197, dtype: int64" + ] + }, + "execution_count": 37, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "count = data['Complaint Type'].value_counts()\n", + "count" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 39, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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", 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", 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12 rows × 36 columns

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" + ], + "text/plain": [ + " Berri1 Boyer Brébeuf \\\n", + " sum mean sum mean sum mean \n", + "Month \n", + "1 8503 274.290323 244 7.870968 473 15.258065 \n", + "2 8432 290.758621 348 12.000000 624 21.517241 \n", + "3 17294 557.870968 2069 66.741935 1164 37.548387 \n", + "4 62759 2091.966667 42450 1415.000000 59473 1982.433333 \n", + "5 136001 4387.129032 112103 3616.225806 136906 4416.322581 \n", + "6 145972 4865.733333 121958 4065.266667 144407 4813.566667 \n", + "7 156673 5053.967742 123951 3998.419355 151517 4887.645161 \n", + "8 146558 4727.677419 119706 3861.483871 143398 4625.741935 \n", + "9 145296 4843.200000 113692 3789.733333 136479 4549.300000 \n", + "10 96285 3105.967742 64263 2073.000000 84387 2722.161290 \n", + "11 52637 1754.566667 30053 1001.766667 36713 1223.766667 \n", + "12 12185 393.064516 6582 212.322581 669 21.580645 \n", + "\n", + " CSC (Côte Sainte-Catherine) Maisonneuve_2 \\\n", + " sum mean sum mean \n", + "Month \n", + "1 1955.0 63.064516 10244.0 330.451613 \n", + "2 1618.0 55.793103 11079.0 382.034483 \n", + "3 6450.0 208.064516 21983.0 709.129032 \n", + "4 18297.0 731.880000 67934.0 2264.466667 \n", + "5 30060.0 2147.142857 146900.0 4738.709677 \n", + "6 63753.0 2125.100000 163284.0 5442.800000 \n", + "7 61741.0 1991.645161 183623.0 5923.322581 \n", + "8 77663.0 2505.258065 182923.0 5900.741935 \n", + "9 101796.0 3393.200000 202139.0 6737.966667 \n", + "10 64486.0 2080.193548 128940.0 4159.354839 \n", + "11 32725.0 1090.833333 54293.0 3393.312500 \n", + "12 5362.0 172.967742 0.0 NaN \n", + "\n", + " ... Saint-Antoine Saint-Urbain Totem_Laurier \\\n", + " ... sum mean sum mean sum \n", + "Month ... \n", + "1 ... 1084 34.967742 2555 82.419355 5817 \n", + "2 ... 1296 44.689655 2573 88.724138 3803 \n", + "3 ... 1839 59.322581 8916 287.612903 11238 \n", + "4 ... 6955 231.833333 29079 969.300000 48890 \n", + "5 ... 16256 524.387097 52932 1707.483871 98680 \n", + "6 ... 18441 614.700000 56848 1894.933333 110439 \n", + "7 ... 19823 639.451613 52653 1698.483871 112032 \n", + "8 ... 17687 570.548387 51068 1647.354839 112876 \n", + "9 ... 17765 592.166667 55635 1854.500000 115794 \n", + "10 ... 10596 341.806452 39899 1287.064516 78427 \n", + "11 ... 6031 201.033333 22592 753.066667 49386 \n", + "12 ... 1545 49.838710 3408 109.935484 11960 \n", + "\n", + " University Viger \n", + " mean sum mean sum mean \n", + "Month \n", + "1 187.645161 6012 193.935484 1258 40.580645 \n", + "2 131.137931 5490 189.310345 1246 42.965517 \n", + "3 362.516129 12010 387.419355 1807 58.290323 \n", + "4 1629.666667 41917 1397.233333 6105 203.500000 \n", + "5 3183.225806 86415 2787.580645 13288 428.645161 \n", + "6 3681.300000 96084 3202.800000 14966 498.866667 \n", + "7 3613.935484 101593 3277.193548 16671 537.774194 \n", + "8 3641.161290 98018 3161.870968 16807 542.161290 \n", + "9 3859.800000 103372 3445.733333 14168 472.266667 \n", + "10 2529.903226 66186 2135.032258 9141 294.870968 \n", + "11 1646.200000 38196 1273.200000 5204 173.466667 \n", + "12 385.806452 5127 165.387097 1146 36.967742 \n", + "\n", + "[12 rows x 36 columns]" + ] + }, + "execution_count": 70, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "import numpy as np\n", + "\n", + "res = bikes.groupby('Month').agg([np.sum, np.mean])\n", + "res" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Month\n", + "1 8503\n", + "2 8432\n", + "3 17294\n", + "4 62759\n", + "5 136001\n", + "6 145972\n", + "7 156673\n", + "8 146558\n", + "9 145296\n", + "10 96285\n", + "11 52637\n", + "12 12185\n", + "Name: (Berri1, sum), dtype: int64" + ] + }, + "execution_count": 71, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "res.loc[:, (\"Berri1\", \"sum\")]" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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Berri1Boyer
meansumsum
Month
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" + ], + "text/plain": [ + " Berri1 Boyer\n", + " mean sum sum\n", + "Month \n", + "1 274.290323 8503 244\n", + "2 290.758621 8432 348\n", + "3 557.870968 17294 2069\n", + "4 2091.966667 62759 42450\n", + "5 4387.129032 136001 112103\n", + "6 4865.733333 145972 121958\n", + "7 5053.967742 156673 123951\n", + "8 4727.677419 146558 119706\n", + "9 4843.200000 145296 113692\n", + "10 3105.967742 96285 64263\n", + "11 1754.566667 52637 30053\n", + "12 393.064516 12185 6582" + ] + }, + "execution_count": 72, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "bikes.reset_index().groupby('Month').agg({'Berri1': [np.mean, np.sum], 'Boyer': np.sum})" + ] + }, + { + "cell_type": "code", + "execution_count": 276, + "metadata": {}, + "outputs": [], + "source": [ + "bikes[\"Month\"] = pd.Series(bikes.index).dt.month" + ] + }, + { + "cell_type": "code", + "execution_count": 279, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/tmp/ipykernel_965/1120441851.py:2: FutureWarning: The provided callable is currently using SeriesGroupBy.mean. In a future version of pandas, the provided callable will be used directly. To keep current behavior pass the string \"mean\" instead.\n", + " df1 = bikes.groupby('Month').agg({'Berri1': np.mean, 'Boyer': np.sum})\n", + "/tmp/ipykernel_965/1120441851.py:2: FutureWarning: The provided callable is currently using SeriesGroupBy.sum. In a future version of pandas, the provided callable will be used directly. To keep current behavior pass the string \"sum\" instead.\n", + " df1 = bikes.groupby('Month').agg({'Berri1': np.mean, 'Boyer': np.sum})\n", + "/tmp/ipykernel_965/1120441851.py:3: FutureWarning: The provided callable is currently using SeriesGroupBy.sum. In a future version of pandas, the provided callable will be used directly. To keep current behavior pass the string \"sum\" instead.\n", + " df1 = bikes.groupby('Month').aggregate([np.sum, np.mean])\n", + "/tmp/ipykernel_965/1120441851.py:3: FutureWarning: The provided callable is currently using SeriesGroupBy.mean. In a future version of pandas, the provided callable will be used directly. To keep current behavior pass the string \"mean\" instead.\n", + " df1 = bikes.groupby('Month').aggregate([np.sum, np.mean])\n", + "/tmp/ipykernel_965/1120441851.py:3: FutureWarning: The provided callable is currently using SeriesGroupBy.sum. In a future version of pandas, the provided callable will be used directly. To keep current behavior pass the string \"sum\" instead.\n", + " df1 = bikes.groupby('Month').aggregate([np.sum, np.mean])\n", + "/tmp/ipykernel_965/1120441851.py:3: FutureWarning: The provided callable is currently using SeriesGroupBy.mean. In a future version of pandas, the provided callable will be used directly. To keep current behavior pass the string \"mean\" instead.\n", + " df1 = bikes.groupby('Month').aggregate([np.sum, np.mean])\n", + "/tmp/ipykernel_965/1120441851.py:3: FutureWarning: The provided callable is currently using SeriesGroupBy.sum. In a future version of pandas, the provided callable will be used directly. To keep current behavior pass the string \"sum\" instead.\n", + " df1 = bikes.groupby('Month').aggregate([np.sum, np.mean])\n", + "/tmp/ipykernel_965/1120441851.py:3: FutureWarning: The provided callable is currently using SeriesGroupBy.mean. In a future version of pandas, the provided callable will be used directly. To keep current behavior pass the string \"mean\" instead.\n", + " df1 = bikes.groupby('Month').aggregate([np.sum, np.mean])\n", + "/tmp/ipykernel_965/1120441851.py:3: FutureWarning: The provided callable is currently using SeriesGroupBy.sum. In a future version of pandas, the provided callable will be used directly. To keep current behavior pass the string \"sum\" instead.\n", + " df1 = bikes.groupby('Month').aggregate([np.sum, np.mean])\n", + "/tmp/ipykernel_965/1120441851.py:3: FutureWarning: The provided callable is currently using SeriesGroupBy.mean. In a future version of pandas, the provided callable will be used directly. To keep current behavior pass the string \"mean\" instead.\n", + " df1 = bikes.groupby('Month').aggregate([np.sum, np.mean])\n", + "/tmp/ipykernel_965/1120441851.py:3: FutureWarning: The provided callable is currently using SeriesGroupBy.sum. In a future version of pandas, the provided callable will be used directly. To keep current behavior pass the string \"sum\" instead.\n", + " df1 = bikes.groupby('Month').aggregate([np.sum, np.mean])\n", + "/tmp/ipykernel_965/1120441851.py:3: FutureWarning: The provided callable is currently using SeriesGroupBy.mean. In a future version of pandas, the provided callable will be used directly. To keep current behavior pass the string \"mean\" instead.\n", + " df1 = bikes.groupby('Month').aggregate([np.sum, np.mean])\n", + "/tmp/ipykernel_965/1120441851.py:3: FutureWarning: The provided callable is currently using SeriesGroupBy.sum. In a future version of pandas, the provided callable will be used directly. To keep current behavior pass the string \"sum\" instead.\n", + " df1 = bikes.groupby('Month').aggregate([np.sum, np.mean])\n", + "/tmp/ipykernel_965/1120441851.py:3: FutureWarning: The provided callable is currently using SeriesGroupBy.mean. In a future version of pandas, the provided callable will be used directly. To keep current behavior pass the string \"mean\" instead.\n", + " df1 = bikes.groupby('Month').aggregate([np.sum, np.mean])\n", + "/tmp/ipykernel_965/1120441851.py:3: FutureWarning: The provided callable is currently using SeriesGroupBy.sum. In a future version of pandas, the provided callable will be used directly. To keep current behavior pass the string \"sum\" instead.\n", + " df1 = bikes.groupby('Month').aggregate([np.sum, np.mean])\n", + "/tmp/ipykernel_965/1120441851.py:3: FutureWarning: The provided callable is currently using SeriesGroupBy.mean. In a future version of pandas, the provided callable will be used directly. To keep current behavior pass the string \"mean\" instead.\n", + " df1 = bikes.groupby('Month').aggregate([np.sum, np.mean])\n", + "/tmp/ipykernel_965/1120441851.py:3: FutureWarning: The provided callable is currently using SeriesGroupBy.sum. In a future version of pandas, the provided callable will be used directly. To keep current behavior pass the string \"sum\" instead.\n", + " df1 = bikes.groupby('Month').aggregate([np.sum, np.mean])\n", + "/tmp/ipykernel_965/1120441851.py:3: FutureWarning: The provided callable is currently using SeriesGroupBy.mean. In a future version of pandas, the provided callable will be used directly. To keep current behavior pass the string \"mean\" instead.\n", + " df1 = bikes.groupby('Month').aggregate([np.sum, np.mean])\n", + "/tmp/ipykernel_965/1120441851.py:3: FutureWarning: The provided callable is currently using SeriesGroupBy.sum. In a future version of pandas, the provided callable will be used directly. To keep current behavior pass the string \"sum\" instead.\n", + " df1 = bikes.groupby('Month').aggregate([np.sum, np.mean])\n", + "/tmp/ipykernel_965/1120441851.py:3: FutureWarning: The provided callable is currently using SeriesGroupBy.mean. In a future version of pandas, the provided callable will be used directly. To keep current behavior pass the string \"mean\" instead.\n", + " df1 = bikes.groupby('Month').aggregate([np.sum, np.mean])\n", + "/tmp/ipykernel_965/1120441851.py:3: FutureWarning: The provided callable is currently using SeriesGroupBy.sum. In a future version of pandas, the provided callable will be used directly. To keep current behavior pass the string \"sum\" instead.\n", + " df1 = bikes.groupby('Month').aggregate([np.sum, np.mean])\n", + "/tmp/ipykernel_965/1120441851.py:3: FutureWarning: The provided callable is currently using SeriesGroupBy.mean. In a future version of pandas, the provided callable will be used directly. To keep current behavior pass the string \"mean\" instead.\n", + " df1 = bikes.groupby('Month').aggregate([np.sum, np.mean])\n", + "/tmp/ipykernel_965/1120441851.py:3: FutureWarning: The provided callable is currently using SeriesGroupBy.sum. In a future version of pandas, the provided callable will be used directly. To keep current behavior pass the string \"sum\" instead.\n", + " df1 = bikes.groupby('Month').aggregate([np.sum, np.mean])\n", + "/tmp/ipykernel_965/1120441851.py:3: FutureWarning: The provided callable is currently using SeriesGroupBy.mean. In a future version of pandas, the provided callable will be used directly. To keep current behavior pass the string \"mean\" instead.\n", + " df1 = bikes.groupby('Month').aggregate([np.sum, np.mean])\n", + "/tmp/ipykernel_965/1120441851.py:3: FutureWarning: The provided callable is currently using SeriesGroupBy.sum. In a future version of pandas, the provided callable will be used directly. To keep current behavior pass the string \"sum\" instead.\n", + " df1 = bikes.groupby('Month').aggregate([np.sum, np.mean])\n", + "/tmp/ipykernel_965/1120441851.py:3: FutureWarning: The provided callable is currently using SeriesGroupBy.mean. In a future version of pandas, the provided callable will be used directly. To keep current behavior pass the string \"mean\" instead.\n", + " df1 = bikes.groupby('Month').aggregate([np.sum, np.mean])\n", + "/tmp/ipykernel_965/1120441851.py:3: FutureWarning: The provided callable is currently using SeriesGroupBy.sum. In a future version of pandas, the provided callable will be used directly. To keep current behavior pass the string \"sum\" instead.\n", + " df1 = bikes.groupby('Month').aggregate([np.sum, np.mean])\n", + "/tmp/ipykernel_965/1120441851.py:3: FutureWarning: The provided callable is currently using SeriesGroupBy.mean. In a future version of pandas, the provided callable will be used directly. To keep current behavior pass the string \"mean\" instead.\n", + " df1 = bikes.groupby('Month').aggregate([np.sum, np.mean])\n", + "/tmp/ipykernel_965/1120441851.py:3: FutureWarning: The provided callable is currently using SeriesGroupBy.sum. In a future version of pandas, the provided callable will be used directly. To keep current behavior pass the string \"sum\" instead.\n", + " df1 = bikes.groupby('Month').aggregate([np.sum, np.mean])\n", + "/tmp/ipykernel_965/1120441851.py:3: FutureWarning: The provided callable is currently using SeriesGroupBy.mean. In a future version of pandas, the provided callable will be used directly. To keep current behavior pass the string \"mean\" instead.\n", + " df1 = bikes.groupby('Month').aggregate([np.sum, np.mean])\n", + "/tmp/ipykernel_965/1120441851.py:3: FutureWarning: The provided callable is currently using SeriesGroupBy.sum. In a future version of pandas, the provided callable will be used directly. To keep current behavior pass the string \"sum\" instead.\n", + " df1 = bikes.groupby('Month').aggregate([np.sum, np.mean])\n", + "/tmp/ipykernel_965/1120441851.py:3: FutureWarning: The provided callable is currently using SeriesGroupBy.mean. In a future version of pandas, the provided callable will be used directly. To keep current behavior pass the string \"mean\" instead.\n", + " df1 = bikes.groupby('Month').aggregate([np.sum, np.mean])\n", + "/tmp/ipykernel_965/1120441851.py:3: FutureWarning: The provided callable is currently using SeriesGroupBy.sum. In a future version of pandas, the provided callable will be used directly. To keep current behavior pass the string \"sum\" instead.\n", + " df1 = bikes.groupby('Month').aggregate([np.sum, np.mean])\n", + "/tmp/ipykernel_965/1120441851.py:3: FutureWarning: The provided callable is currently using SeriesGroupBy.mean. In a future version of pandas, the provided callable will be used directly. To keep current behavior pass the string \"mean\" instead.\n", + " df1 = bikes.groupby('Month').aggregate([np.sum, np.mean])\n", + "/tmp/ipykernel_965/1120441851.py:3: FutureWarning: The provided callable is currently using SeriesGroupBy.sum. In a future version of pandas, the provided callable will be used directly. To keep current behavior pass the string \"sum\" instead.\n", + " df1 = bikes.groupby('Month').aggregate([np.sum, np.mean])\n", + "/tmp/ipykernel_965/1120441851.py:3: FutureWarning: The provided callable is currently using SeriesGroupBy.mean. In a future version of pandas, the provided callable will be used directly. To keep current behavior pass the string \"mean\" instead.\n", + " df1 = bikes.groupby('Month').aggregate([np.sum, np.mean])\n", + "/tmp/ipykernel_965/1120441851.py:3: FutureWarning: The provided callable is currently using SeriesGroupBy.sum. In a future version of pandas, the provided callable will be used directly. To keep current behavior pass the string \"sum\" instead.\n", + " df1 = bikes.groupby('Month').aggregate([np.sum, np.mean])\n", + "/tmp/ipykernel_965/1120441851.py:3: FutureWarning: The provided callable is currently using SeriesGroupBy.mean. In a future version of pandas, the provided callable will be used directly. To keep current behavior pass the string \"mean\" instead.\n", + " df1 = bikes.groupby('Month').aggregate([np.sum, np.mean])\n" + ] + }, + { + "data": { + "text/html": [ + "
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Berri1University
Month
\n", + "
" + ], + "text/plain": [ + "Empty DataFrame\n", + "Columns: [Berri1, University]\n", + "Index: []" + ] + }, + "execution_count": 279, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "import numpy as np\n", + "df1 = bikes.groupby('Month').agg({'Berri1': np.mean, 'Boyer': np.sum})\n", + "df1 = bikes.groupby('Month').aggregate([np.sum, np.mean])\n", + "df1 = bikes.groupby(['Month'])[['Berri1', 'University']].sum()\n", + "df1" + ] + }, + { + "cell_type": "code", + "execution_count": 287, + "metadata": {}, + "outputs": [], + "source": [ + "df1 = bikes.resample(\"1ME\")[\"Berri1\"].sum()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "bikes['Month'] = bikes.index.month" + ] + }, + { + "cell_type": "code", + "execution_count": 288, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "df1.plot(kind='bar');" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "###### Ejercicio bicis" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "##### Combinar Pandas y Matplotlib\n", + "\n", + "El método `.plot()` de los `DataFrames` de Pandas es bastante flexible, pero no podemos modificar ningún aspecto del gráfico no contemplado en los parámetros opcionales:\n", + "\n", + "https://pandas.pydata.org/pandas-docs/stable/generated/pandas.DataFrame.plot.html\n", + "\n", + "En ese caso, puesto que los gráficos de Pandas están construídos sobre la librería Matplotlib, podemos utilizar las funciones de bajo nivel de la misma para modificar cualquier aspecto de nuestro gráfico." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 76, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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", 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" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "fig, ax = plt.subplots()\n", + "df1.plot(kind='barh', y='Berri1', ax=ax)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Text(0, 0.5, 'Mes')" + ] + }, + "execution_count": 77, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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", 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" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "fig, ax = plt.subplots()\n", + "df1.plot(kind='barh', y='Berri1', ax=ax)\n", + "ax.set_xlabel('Numero de ciclistas')\n", + "ax.set_ylabel('Mes')" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "fig, ax = plt.subplots()\n", + "df1.plot(kind='barh', y='Berri1', ax=ax)\n", + "ax.set_xlabel('Numero de ciclistas')\n", + "ax.set_ylabel('Mes')\n", + "ax.legend().set_visible(False)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "from matplotlib.ticker import FuncFormatter\n", + "\n", + "fig, ax = plt.subplots()\n", + "df1.plot(kind='barh', y='Berri1', ax=ax)\n", + "ax.set_xlabel('Numero de ciclistas')\n", + "ax.set_ylabel('Mes')\n", + "\n", + "ax.xaxis.set_major_formatter(FuncFormatter(lambda x, y: '{:d}k'.format(int(x/1000))))\n", + "\n", + "ax.legend().set_visible(False)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "from matplotlib.ticker import FuncFormatter\n", + "\n", + "fig, ax = plt.subplots()\n", + "df1.plot(kind='barh', y='Berri1', ax=ax)\n", + "ax.set_xlabel('Numero de ciclistas')\n", + "ax.set_ylabel('Mes')\n", + "ax.xaxis.set_major_formatter(FuncFormatter(lambda x, y: '{:d}k'.format(int(x/1000))))\n", + "ax.set_yticklabels(['Ene','Feb','Mar','Abr','May','Jun','Jul','Ago','Sep','Oct','Nov','Dic'])\n", + "ax.legend().set_visible(False)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" } ], "source": [ - "import numpy as np\n", - "\n", - "ops = {\n", - " \"Temp (C)\": lambda s: s.max() - s.min(), \n", - " \"Rel Hum (%)\": \"max\", \n", - " \"Visibility (km)\": \"min\"\n", - "}\n", - "\n", - "new_name = {\n", - " \"Temp (C)\": \"Temp_range\", \n", - " \"Rel Hum (%)\": \"Hum_max\", \n", - " \"Visibility (km)\": \"Vis_min\"\n", - "}\n", + "from matplotlib.ticker import FuncFormatter\n", "\n", - "weather.groupby(\"Weather\", as_index=False).agg(ops).rename(columns=new_name)" + "fig, ax = plt.subplots()\n", + "df1.plot(kind='barh', y='Berri1', ax=ax)\n", + "ax.set_xlabel('Numero de ciclistas')\n", + "ax.set_ylabel('Mes')\n", + "ax.xaxis.set_major_formatter(FuncFormatter(lambda x, y: '{:d}k'.format(int(x/1000))))\n", + "ax.set_yticklabels(['Ene','Feb','Mar','Abr','May','Jun','Jul','Ago','Sep','Oct','Nov','Dic'])\n", + "for x in (20000, 100000):\n", + " ax.axvline(x=x, color='r', linestyle='--', linewidth=1)\n", + "ax.legend().set_visible(False)" ] }, { @@ -8379,33 +17907,182 @@ { "data": { "text/plain": [ - "Weather\n", - "False 10.9\n", - "True -4.4\n", - "Name: Temp (C), dtype: float64" + "array([[,\n", + " ]],\n", + " dtype=object)" ] }, - "execution_count": 191, + "execution_count": 82, "metadata": {}, "output_type": "execute_result" + }, + { + "data": { + "image/png": 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", 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", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "# Pandas + retocar en Matplotlib\n", + "fig, axes = plt.subplots(1, 2, figsize=(15, 5), sharey=True)\n", + "df1[['Berri1', 'University']].plot(kind='barh', \n", + " subplots=True, \n", + " legend=False, \n", + " ax=axes)\n", + "for ax in axes:\n", + " ax.set_xlabel('Numero de ciclistas')\n", + " ax.set_ylabel('Mes')\n", + " ax.xaxis.set_major_formatter(FuncFormatter(lambda x, y: '{:d}k'.format(int(x/1000))))\n", + " ax.set_yticklabels(['Ene','Feb','Mar','Abr','May','Jun','Jul','Ago','Sep','Oct','Nov','Dic'])\n", + " for x in (20000, 100000):\n", + " ax.axvline(x=x, color='r', linestyle='--', linewidth=1)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Ejemplo join titanic" + ] + }, + { + "cell_type": "code", + "execution_count": 225, + "metadata": {}, "outputs": [], "source": [ - "df3 = weather.groupby([\"Weather\", weather[\"Date/Time\"].dt.month])[\"Temp (C)\"].mean().reset_index()" + "df1 = pd.read_csv(\"../../data/titanic.csv\", sep=\";\")" ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 227, + "metadata": {}, + "outputs": [], + "source": [ + "df2 = pd.read_csv(\"../../data/titanic2.csv\", sep=\";\")" + ] + }, + { + "cell_type": "code", + "execution_count": 228, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "(1309, 11)" + ] + }, + "execution_count": 228, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df1.shape" + ] + }, + { + "cell_type": "code", + "execution_count": 229, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "(1310, 5)" + ] + }, + "execution_count": 229, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df2.shape" + ] + }, + { + "cell_type": "code", + "execution_count": 230, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Index(['pclass', 'survived', 'name', 'sex', 'age', 'sibsp', 'parch', 'ticket',\n", + " 'fare', 'cabin', 'embarked'],\n", + " dtype='object')" + ] + }, + "execution_count": 230, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df1.columns" + ] + }, + { + "cell_type": "code", + "execution_count": 231, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Index(['name', 'ticket', 'boat', 'body', 'home.dest'], dtype='object')" + ] + }, + "execution_count": 231, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df2.columns" + ] + }, + { + "cell_type": "code", + "execution_count": 233, "metadata": {}, "outputs": [ { @@ -8429,112 +18106,241 @@ " \n", " \n", " \n", - " Weather\n", - " Date/Time\n", - " Temp (C)\n", + " pclass\n", + " survived\n", + " name\n", + " sex\n", + " age\n", + " sibsp\n", + " parch\n", + " ticket\n", + " fare\n", + " cabin\n", + " embarked\n", " \n", " \n", " \n", " \n", " 0\n", - " Clear\n", + " 2\n", " 1\n", - " -13.332468\n", + " Mellors, Mr. William John\n", + " male\n", + " 19\n", + " 0\n", + " 0\n", + " SW/PP 751\n", + " 10,5000\n", + " NaN\n", + " S\n", " \n", " \n", " 1\n", - " Clear\n", " 2\n", - " -6.491096\n", + " 1\n", + " Wilhelms, Mr. Charles\n", + " male\n", + " 31\n", + " 0\n", + " 0\n", + " 244270\n", + " 13,0000\n", + " NaN\n", + " S\n", " \n", " \n", " 2\n", - " Clear\n", " 3\n", - " 5.042581\n", + " 0\n", + " Heininen, Miss. Wendla Maria\n", + " female\n", + " 23\n", + " 0\n", + " 0\n", + " STON/O2. 3101290\n", + " 7,9250\n", + " NaN\n", + " S\n", " \n", " \n", " 3\n", - " Clear\n", - " 4\n", - " 3.716129\n", + " 3\n", + " 0\n", + " Klasen, Miss. Gertrud Emilia\n", + " female\n", + " 1\n", + " 1\n", + " 1\n", + " 350405\n", + " 12,1833\n", + " NaN\n", + " S\n", " \n", " \n", " 4\n", - " Clear\n", - " 5\n", - " 14.710092\n", + " 1\n", + " 1\n", + " Ismay, Mr. Joseph Bruce\n", + " male\n", + " 49\n", + " 0\n", + " 0\n", + " 112058\n", + " 0,0000\n", + " B52 B54 B56\n", + " S\n", " \n", " \n", " ...\n", " ...\n", " ...\n", " ...\n", + " ...\n", + " ...\n", + " ...\n", + " ...\n", + " ...\n", + " ...\n", + " ...\n", + " ...\n", " \n", " \n", - " 186\n", - " Thunderstorms,Rain Showers\n", - " 8\n", - " 21.633333\n", + " 1304\n", + " 3\n", + " 0\n", + " Olsen, Mr. Karl Siegwart Andreas\n", + " male\n", + " 42\n", + " 0\n", + " 1\n", + " 4579\n", + " 8,4042\n", + " NaN\n", + " S\n", " \n", " \n", - " 187\n", - " Thunderstorms,Rain Showers\n", - " 9\n", - " 19.200000\n", + " 1305\n", + " 3\n", + " 1\n", + " Baclini, Mrs. Solomon (Latifa Qurban)\n", + " female\n", + " 24\n", + " 0\n", + " 3\n", + " 2666\n", + " 19,2583\n", + " NaN\n", + " C\n", " \n", " \n", - " 188\n", - " Thunderstorms,Rain Showers,Fog\n", - " 6\n", - " 19.500000\n", + " 1306\n", + " 1\n", + " 0\n", + " Rood, Mr. Hugh Roscoe\n", + " male\n", + " NaN\n", + " 0\n", + " 0\n", + " 113767\n", + " 50,0000\n", + " A32\n", + " S\n", " \n", " \n", - " 189\n", - " Thunderstorms,Rain Showers,Fog\n", - " 7\n", - " 22.650000\n", + " 1307\n", + " 3\n", + " 0\n", + " Stanley, Mr. Edward Roland\n", + " male\n", + " 21\n", + " 0\n", + " 0\n", + " A/4 45380\n", + " 8,0500\n", + " NaN\n", + " S\n", " \n", " \n", - " 190\n", - " Thunderstorms,Rain,Fog\n", - " 7\n", - " 20.600000\n", + " 1308\n", + " 2\n", + " 0\n", + " Mudd, Mr. Thomas Charles\n", + " male\n", + " 16\n", + " 0\n", + " 0\n", + " S.O./P.P. 3\n", + " 10,5000\n", + " NaN\n", + " S\n", " \n", " \n", "\n", - "

191 rows × 3 columns

\n", + "

1309 rows × 11 columns

\n", "" ], "text/plain": [ - " Weather Date/Time Temp (C)\n", - "0 Clear 1 -13.332468\n", - "1 Clear 2 -6.491096\n", - "2 Clear 3 5.042581\n", - "3 Clear 4 3.716129\n", - "4 Clear 5 14.710092\n", - ".. ... ... ...\n", - "186 Thunderstorms,Rain Showers 8 21.633333\n", - "187 Thunderstorms,Rain Showers 9 19.200000\n", - "188 Thunderstorms,Rain Showers,Fog 6 19.500000\n", - "189 Thunderstorms,Rain Showers,Fog 7 22.650000\n", - "190 Thunderstorms,Rain,Fog 7 20.600000\n", + " pclass survived name sex age \\\n", + "0 2 1 Mellors, Mr. William John male 19 \n", + "1 2 1 Wilhelms, Mr. Charles male 31 \n", + "2 3 0 Heininen, Miss. Wendla Maria female 23 \n", + "3 3 0 Klasen, Miss. Gertrud Emilia female 1 \n", + "4 1 1 Ismay, Mr. Joseph Bruce male 49 \n", + "... ... ... ... ... ... \n", + "1304 3 0 Olsen, Mr. Karl Siegwart Andreas male 42 \n", + "1305 3 1 Baclini, Mrs. Solomon (Latifa Qurban) female 24 \n", + "1306 1 0 Rood, Mr. Hugh Roscoe male NaN \n", + "1307 3 0 Stanley, Mr. Edward Roland male 21 \n", + "1308 2 0 Mudd, Mr. Thomas Charles male 16 \n", "\n", - "[191 rows x 3 columns]" + " sibsp parch ticket fare cabin embarked \n", + "0 0 0 SW/PP 751 10,5000 NaN S \n", + "1 0 0 244270 13,0000 NaN S \n", + "2 0 0 STON/O2. 3101290 7,9250 NaN S \n", + "3 1 1 350405 12,1833 NaN S \n", + "4 0 0 112058 0,0000 B52 B54 B56 S \n", + "... ... ... ... ... ... ... \n", + "1304 0 1 4579 8,4042 NaN S \n", + "1305 0 3 2666 19,2583 NaN C \n", + "1306 0 0 113767 50,0000 A32 S \n", + "1307 0 0 A/4 45380 8,0500 NaN S \n", + "1308 0 0 S.O./P.P. 3 10,5000 NaN S \n", + "\n", + "[1309 rows x 11 columns]" ] }, - "execution_count": 204, + "execution_count": 233, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "df3" + "df1" ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 248, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "2" + ] + }, + "execution_count": 248, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df1[\"name\"].duplicated().sum()" + ] + }, + { + "cell_type": "code", + "execution_count": 234, "metadata": {}, "outputs": [ { @@ -8558,96 +18364,53 @@ " \n", " \n", " \n", - " Temp (C)\n", - " Dew Point Temp (C)\n", - " Rel Hum (%)\n", - " Wind Spd (km/h)\n", - " Visibility (km)\n", - " Stn Press (kPa)\n", - " Weather\n", - " Weather1\n", - " Weather2\n", - " Weather3\n", - " \n", - " \n", - " Date/Time\n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " name\n", + " ticket\n", + " boat\n", + " body\n", + " home.dest\n", " \n", " \n", " \n", " \n", - " 2012-01-01 00:00:00\n", - " -1.8\n", - " -3.9\n", - " 86\n", - " 4\n", - " 8.0\n", - " 101.24\n", - " Fog\n", - " Fog\n", - " None\n", - " None\n", + " 0\n", + " Coxon, Mr. Daniel\n", + " 364500\n", + " NaN\n", + " NaN\n", + " Merrill, WI\n", " \n", " \n", - " 2012-01-01 00:30:00\n", - " -1.8\n", - " -3.9\n", - " 86\n", - " 4\n", - " 8.0\n", - " 101.24\n", - " Fog\n", - " Fog\n", - " None\n", - " None\n", + " 1\n", + " Hyman, Mr. Abraham\n", + " 3470\n", + " C\n", + " NaN\n", + " NaN\n", " \n", " \n", - " 2012-01-01 01:00:00\n", - " -1.8\n", - " -3.7\n", - " 87\n", - " 4\n", - " 8.0\n", - " 101.24\n", - " Fog\n", - " Fog\n", - " None\n", - " None\n", + " 2\n", + " Lindeberg-Lind, Mr. Erik Gustaf (Mr Edward Lin...\n", + " 17475\n", + " NaN\n", + " NaN\n", + " Stockholm, Sweden\n", " \n", " \n", - " 2012-01-01 01:30:00\n", - " -1.8\n", - " -3.7\n", - " 87\n", - " 4\n", - " 8.0\n", - " 101.24\n", - " Fog\n", - " Fog\n", - " None\n", - " None\n", + " 3\n", + " Harper, Mr. Henry Sleeper\n", + " PC 17572\n", + " 3\n", + " NaN\n", + " New York, NY\n", " \n", " \n", - " 2012-01-01 02:00:00\n", - " -1.8\n", - " -3.4\n", - " 89\n", - " 7\n", - " 4.0\n", - " 101.26\n", - " Freezing Drizzle,Fog\n", - " Freezing Drizzle\n", - " Fog\n", - " None\n", + " 4\n", + " Olsen, Mr. Henry Margido\n", + " C 4001\n", + " NaN\n", + " 173.0\n", + " NaN\n", " \n", " \n", " ...\n", @@ -8656,470 +18419,300 @@ " ...\n", " ...\n", " ...\n", - " ...\n", - " ...\n", - " ...\n", - " ...\n", - " ...\n", " \n", " \n", - " 2012-12-31 21:00:00\n", - " -0.5\n", - " -1.5\n", - " 93\n", - " 28\n", - " 4.8\n", - " 99.95\n", - " Snow\n", - " Snow\n", - " None\n", - " None\n", + " 1305\n", + " Rheims, Mr. George Alexander Lucien\n", + " PC 17607\n", + " A\n", + " NaN\n", + " Paris / New York, NY\n", " \n", " \n", - " 2012-12-31 21:30:00\n", - " -0.5\n", - " -1.5\n", - " 93\n", - " 28\n", - " 4.8\n", - " 99.95\n", - " Snow\n", - " Snow\n", - " None\n", - " None\n", + " 1306\n", + " Bostandyeff, Mr. Guentcho\n", + " 349224\n", + " NaN\n", + " NaN\n", + " Bulgaria Chicago, IL\n", " \n", " \n", - " 2012-12-31 22:00:00\n", - " -0.2\n", - " -1.8\n", - " 89\n", - " 28\n", - " 9.7\n", - " 99.91\n", - " Snow\n", - " Snow\n", - " None\n", - " None\n", + " 1307\n", + " Ware, Mr. Frederick\n", + " 359309\n", + " NaN\n", + " NaN\n", + " NaN\n", " \n", " \n", - " 2012-12-31 22:30:00\n", - " -0.2\n", - " -1.8\n", - " 89\n", - " 28\n", - " 9.7\n", - " 99.91\n", - " Snow\n", - " Snow\n", - " None\n", - " None\n", + " 1308\n", + " Wiseman, Mr. Phillippe\n", + " A/4. 34244\n", + " NaN\n", + " NaN\n", + " NaN\n", " \n", " \n", - " 2012-12-31 23:00:00\n", - " 0.0\n", - " -2.1\n", - " 86\n", - " 30\n", - " 11.3\n", - " 99.89\n", - " Snow\n", - " Snow\n", - " None\n", - " None\n", - " \n", - " \n", - "\n", - "

17567 rows × 10 columns

\n", - "" - ], - "text/plain": [ - " Temp (C) Dew Point Temp (C) Rel Hum (%) \\\n", - "Date/Time \n", - "2012-01-01 00:00:00 -1.8 -3.9 86 \n", - "2012-01-01 00:30:00 -1.8 -3.9 86 \n", - "2012-01-01 01:00:00 -1.8 -3.7 87 \n", - "2012-01-01 01:30:00 -1.8 -3.7 87 \n", - "2012-01-01 02:00:00 -1.8 -3.4 89 \n", - "... ... ... ... \n", - "2012-12-31 21:00:00 -0.5 -1.5 93 \n", - "2012-12-31 21:30:00 -0.5 -1.5 93 \n", - "2012-12-31 22:00:00 -0.2 -1.8 89 \n", - "2012-12-31 22:30:00 -0.2 -1.8 89 \n", - "2012-12-31 23:00:00 0.0 -2.1 86 \n", - "\n", - " Wind Spd (km/h) Visibility (km) Stn Press (kPa) \\\n", - "Date/Time \n", - "2012-01-01 00:00:00 4 8.0 101.24 \n", - "2012-01-01 00:30:00 4 8.0 101.24 \n", - "2012-01-01 01:00:00 4 8.0 101.24 \n", - "2012-01-01 01:30:00 4 8.0 101.24 \n", - "2012-01-01 02:00:00 7 4.0 101.26 \n", - "... ... ... ... \n", - "2012-12-31 21:00:00 28 4.8 99.95 \n", - "2012-12-31 21:30:00 28 4.8 99.95 \n", - "2012-12-31 22:00:00 28 9.7 99.91 \n", - "2012-12-31 22:30:00 28 9.7 99.91 \n", - "2012-12-31 23:00:00 30 11.3 99.89 \n", - "\n", - " Weather Weather1 Weather2 Weather3 \n", - "Date/Time \n", - "2012-01-01 00:00:00 Fog Fog None None \n", - "2012-01-01 00:30:00 Fog Fog None None \n", - "2012-01-01 01:00:00 Fog Fog None None \n", - "2012-01-01 01:30:00 Fog Fog None None \n", - "2012-01-01 02:00:00 Freezing Drizzle,Fog Freezing Drizzle Fog None \n", - "... ... ... ... ... \n", - "2012-12-31 21:00:00 Snow Snow None None \n", - "2012-12-31 21:30:00 Snow Snow None None \n", - "2012-12-31 22:00:00 Snow Snow None None \n", - "2012-12-31 22:30:00 Snow Snow None None \n", - "2012-12-31 23:00:00 Snow Snow None None \n", - "\n", - "[17567 rows x 10 columns]" - ] - }, - "execution_count": 218, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "tmp = weather.set_index(\"Date/Time\").resample('30T').ffill()\n", - "tmp" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "#### Ejercicio titanic" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "##### Visualización\n", - "\n", - "Los objetos de tipo `DataFrame` tiene un método `.plot()` que hace muy sencillo representar gráficamente sus contenidos. Por defecto hace una gráfica con todas las columnas que tienen etiqueta del `DataFrame`.\n", - "\n", - "Más información: https://pandas.pydata.org/pandas-docs/stable/visualization.html" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "data": { + " 1309\n", + " Sawyer, Mr. Frederick Charles\n", + " 342826\n", + " NaN\n", + " 284.0\n", + " NaN\n", + " \n", + " \n", + "\n", + "

1310 rows × 5 columns

\n", + "" + ], "text/plain": [ - "Date/Time\n", - "2012-01-31 -7.05\n", - "2012-02-29 -4.10\n", - "2012-03-31 2.60\n", - "2012-04-30 6.30\n", - "2012-05-31 16.05\n", - "2012-06-30 19.60\n", - "2012-07-31 22.90\n", - "2012-08-31 22.20\n", - "2012-09-30 16.10\n", - "2012-10-31 11.30\n", - "2012-11-30 1.05\n", - "2012-12-31 -2.85\n", - "Freq: M, Name: Temp (C), dtype: float64" + " name ticket boat \\\n", + "0 Coxon, Mr. Daniel 364500 NaN \n", + "1 Hyman, Mr. Abraham 3470 C \n", + "2 Lindeberg-Lind, Mr. Erik Gustaf (Mr Edward Lin... 17475 NaN \n", + "3 Harper, Mr. Henry Sleeper PC 17572 3 \n", + "4 Olsen, Mr. Henry Margido C 4001 NaN \n", + "... ... ... ... \n", + "1305 Rheims, Mr. George Alexander Lucien PC 17607 A \n", + "1306 Bostandyeff, Mr. Guentcho 349224 NaN \n", + "1307 Ware, Mr. Frederick 359309 NaN \n", + "1308 Wiseman, Mr. Phillippe A/4. 34244 NaN \n", + "1309 Sawyer, Mr. Frederick Charles 342826 NaN \n", + "\n", + " body home.dest \n", + "0 NaN Merrill, WI \n", + "1 NaN NaN \n", + "2 NaN Stockholm, Sweden \n", + "3 NaN New York, NY \n", + "4 173.0 NaN \n", + "... ... ... \n", + "1305 NaN Paris / New York, NY \n", + "1306 NaN Bulgaria Chicago, IL \n", + "1307 NaN NaN \n", + "1308 NaN NaN \n", + "1309 284.0 NaN \n", + "\n", + "[1310 rows x 5 columns]" ] }, - "execution_count": 22, + "execution_count": 234, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "tmp" + "df2" ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 249, "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 54, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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", 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" } ], "source": [ - "bikes.drop(columns=\"Timestamp\").sum().sort_values(ascending=True).plot(kind=\"barh\")" + "df3.isna().sum()" ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 259, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "Timestamp 00:0000:0000:0000:0000:0000:0000:0000:0000:000...\n", - "Berri1 988595\n", - "Boyer 737419\n", - "Brébeuf 896210\n", - "CSC (Côte Sainte-Catherine) 465906\n", - "Maisonneuve_2 1.17334e+06\n", - "Maisonneuve_3 365220\n", - "Notre-Dame 380477\n", - "Parc 627132\n", - "PierDup 367346\n", - "Pont_Jacques_Cartier 494156\n", - "Rachel / Hôtel de Ville 515635\n", - "Rachel / Papineau 810789\n", - "René-Lévesque 505378\n", - "Saint-Antoine 119318\n", - "Saint-Urbain 378158\n", - "Totem_Laurier 759342\n", - "University 660420\n", - "Viger 101807\n", - "dtype: object" + "pclass 0\n", + "survived 0\n", + "name 0\n", + "sex 0\n", + "age 263\n", + "sibsp 0\n", + "parch 0\n", + "ticket 0\n", + "fare 1\n", + "cabin 1014\n", + "embarked 2\n", + "dtype: int64" ] }, - "execution_count": 23, + "execution_count": 259, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "bikes.sum()" + "df1.isna().sum()" ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 261, "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ - "(bikes.drop(columns='Timestamp')\n", - " .sum()\n", - " .sort_values(ascending=False)\n", - " .plot(kind='bar'));" + "df3 = df2.dropna(how=\"all\", subset=[\"name\", \"ticket\"])" ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 266, "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 234, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ - "cols = [\"Berri1\", \"Boyer\", \"University\"]\n", - "bikes[cols].plot(figsize=(15, 7))" + "a = df1.merge(df3, how=\"inner\", on=[\"name\", \"ticket\"])" ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 269, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "" + "pclass 0\n", + "survived 0\n", + "name 0\n", + "sex 0\n", + "age 263\n", + "sibsp 0\n", + "parch 0\n", + "ticket 0\n", + "fare 1\n", + "cabin 1014\n", + "embarked 2\n", + "boat 823\n", + "body 1188\n", + "home.dest 564\n", + "dtype: int64" ] }, - "execution_count": 33, + "execution_count": 269, "metadata": {}, "output_type": "execute_result" - }, - { - "data": { - "image/png": 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", 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", 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" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ - "bikes.iloc[:, :7].plot(figsize=(15, 10))" + "df4 = df1.sort_values([\"name\", \"ticket\"]).reset_index(drop=True)" ] }, { - "cell_type": "markdown", + "cell_type": "code", + "execution_count": 279, "metadata": {}, + "outputs": [], "source": [ - "Datos con las llamadas al 311 en la ciudad de Nueva York durante el 2011\n", - "\n", - "Fuente: https://data.cityofnewyork.us/dataset/311-Service-Requests-From-2011/fpz8-jqf4" + "df5 = df3.sort_values([\"name\", \"ticket\"]).reset_index(drop=True)" ] }, { "cell_type": "code", - "execution_count": null, - "metadata": { - "scrolled": false - }, + "execution_count": 282, + "metadata": {}, "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/home/alberto/miniconda3/lib/python3.7/site-packages/IPython/core/interactiveshell.py:3063: DtypeWarning: Columns (17,29,30,32,33,34,35) have mixed types.Specify dtype option on import or set low_memory=False.\n", - " interactivity=interactivity, compiler=compiler, result=result)\n" - ] - }, { "data": { "text/html": [ @@ -9141,149 +18734,107 @@ " \n", " \n", " \n", - " Unique Key\n", - " Created Date\n", - " Closed Date\n", - " Agency\n", - " Agency Name\n", - " Complaint Type\n", - " Descriptor\n", - " Location Type\n", - " Incident Zip\n", - " Incident Address\n", - " ...\n", - " Vehicle Type\n", - " Taxi Company Borough\n", - " Taxi Pick Up Location\n", - " Bridge Highway Name\n", - " Bridge Highway Direction\n", - " Road Ramp\n", - " Bridge Highway Segment\n", - " Latitude\n", - " Longitude\n", - " Location\n", + " pclass\n", + " survived\n", + " name\n", + " sex\n", + " age\n", + " sibsp\n", + " parch\n", + " ticket\n", + " fare\n", + " cabin\n", + " embarked\n", + " boat\n", + " body\n", + " home.dest\n", " \n", " \n", " \n", " \n", " 0\n", - " 46377972\n", - " 06/03/2020 07:15:06 PM\n", - " NaN\n", - " HPD\n", - " Department of Housing Preservation and Develop...\n", - " PLUMBING\n", - " BATHTUB/SHOWER\n", - " RESIDENTIAL BUILDING\n", - " 10027.0\n", - " 3139 BROADWAY\n", - " ...\n", - " NaN\n", - " NaN\n", - " NaN\n", + " 3\n", + " 0\n", + " Abbing, Mr. Anthony\n", + " male\n", + " 42\n", + " 0\n", + " 0\n", + " C.A. 5547\n", + " 7,5500\n", " NaN\n", + " S\n", " NaN\n", " NaN\n", " NaN\n", - " 40.813847\n", - " -73.959651\n", - " (40.81384679464595, -73.95965063190523)\n", " \n", " \n", " 1\n", - " 46376857\n", - " 06/03/2020 11:17:50 PM\n", - " 06/03/2020 11:34:11 PM\n", - " NYPD\n", - " New York City Police Department\n", - " Noise - Residential\n", - " Loud Talking\n", - " NaN\n", - " 10027.0\n", - " 192 CLAREMONT AVENUE\n", - " ...\n", - " NaN\n", - " NaN\n", - " NaN\n", - " NaN\n", + " 3\n", + " 0\n", + " Abbott, Master. 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Walter John\n", + " male\n", + " 11,5\n", + " 1\n", + " 1\n", + " A/5. 851\n", + " 14,5000\n", " NaN\n", + " S\n", " NaN\n", + " 1.0\n", " NaN\n", - " 40.817997\n", - " -73.954128\n", - " (40.817997491323844, -73.95412768505584)\n", " \n", " \n", - " 223429\n", - " 44063207\n", - " 10/15/2019 10:27:19 AM\n", - " 10/15/2019 11:47:41 AM\n", - " NYPD\n", - " New York City Police Department\n", - " Noise - Commercial\n", - " Loud Music/Party\n", - " Store/Commercial\n", - " 10031.0\n", - " 3418 BROADWAY\n", - " ...\n", - " NaN\n", - " NaN\n", - " NaN\n", - " NaN\n", + " 1307\n", + " 3\n", + " 0\n", + " van Billiard, Mr. Austin Blyler\n", + " male\n", + " 40,5\n", + " 0\n", + " 2\n", + " A/5. 851\n", + " 14,5000\n", " NaN\n", + " S\n", " NaN\n", + " 255.0\n", " NaN\n", - " 40.821958\n", - " -73.953225\n", - " (40.82195775753952, -73.95322530259935)\n", " \n", " \n", - " 223430\n", - " 44063437\n", - " 10/15/2019 10:36:21 AM\n", - " 10/15/2019 10:36:21 AM\n", - " DOB\n", - " Department of Buildings\n", - " Boilers\n", - " Boiler - Defective/Inoperative/No Permit\n", - " NaN\n", - " 10027.0\n", - " 363 WEST 126 STREET\n", - " ...\n", - " NaN\n", - " NaN\n", + " 1308\n", + " 3\n", + " 0\n", + " van Melkebeke, Mr. Philemon\n", + " male\n", " NaN\n", + " 0\n", + " 0\n", + " 345777\n", + " 9,5000\n", " NaN\n", + " S\n", " NaN\n", " NaN\n", " NaN\n", - " 40.811648\n", - " -73.952564\n", - " (40.81164831951188, -73.95256423510611)\n", " \n", " \n", "\n", - "

223431 rows × 39 columns

\n", + "

1309 rows × 14 columns

\n", "" ], "text/plain": [ - " Unique Key Created Date Closed Date Agency \\\n", - "0 46377972 06/03/2020 07:15:06 PM NaN HPD \n", - "1 46376857 06/03/2020 11:17:50 PM 06/03/2020 11:34:11 PM NYPD \n", - "2 46377601 06/03/2020 11:59:09 PM 06/04/2020 12:12:52 AM NYPD \n", - "3 46376657 06/03/2020 03:53:39 PM 06/03/2020 04:48:05 PM NYPD \n", - "4 46376662 06/03/2020 03:49:10 PM 06/03/2020 04:04:18 PM NYPD \n", - "... ... ... ... ... \n", - "223426 44063197 10/15/2019 09:53:04 PM 10/16/2019 01:06:50 AM NYPD \n", - "223427 44063201 10/15/2019 10:08:08 PM 10/15/2019 10:59:00 PM NYPD \n", - "223428 44063202 10/15/2019 09:06:24 PM 10/15/2019 11:20:54 PM NYPD \n", - "223429 44063207 10/15/2019 10:27:19 AM 10/15/2019 11:47:41 AM NYPD \n", - "223430 44063437 10/15/2019 10:36:21 AM 10/15/2019 10:36:21 AM DOB \n", - "\n", - " Agency Name \\\n", - "0 Department of Housing Preservation and Develop... \n", - "1 New York City Police Department \n", - "2 New York City Police Department \n", - "3 New York City Police Department \n", - "4 New York City Police Department \n", - "... ... \n", - "223426 New York City Police Department \n", - "223427 New York City Police Department \n", - "223428 New York City Police Department \n", - "223429 New York City Police Department \n", - "223430 Department of Buildings \n", - "\n", - " Complaint Type Descriptor \\\n", - "0 PLUMBING BATHTUB/SHOWER \n", - "1 Noise - Residential Loud Talking \n", - "2 Noise - Street/Sidewalk Loud Talking \n", - "3 Noise - Residential Loud Talking \n", - "4 Noise - Street/Sidewalk Loud Music/Party \n", - "... ... ... \n", - "223426 Noise - Residential Loud Music/Party \n", - "223427 Noise - Street/Sidewalk Loud Music/Party \n", - "223428 Noise - Street/Sidewalk Loud Music/Party \n", - "223429 Noise - Commercial Loud Music/Party \n", - "223430 Boilers Boiler - Defective/Inoperative/No Permit \n", - "\n", - " Location Type Incident Zip Incident Address ... \\\n", - "0 RESIDENTIAL BUILDING 10027.0 3139 BROADWAY ... \n", - "1 NaN 10027.0 192 CLAREMONT AVENUE ... \n", - "2 Street/Sidewalk 10031.0 620 WEST 141 STREET ... \n", - "3 Residential Building/House 10027.0 1470 AMSTERDAM AVENUE ... \n", - "4 Street/Sidewalk 10031.0 481 WEST 145 STREET ... \n", - "... ... ... ... ... \n", - "223426 Residential Building/House 10027.0 3149 BROADWAY ... \n", - "223427 Street/Sidewalk 10027.0 525 WEST 133 STREET ... \n", - "223428 Street/Sidewalk 10027.0 525 WEST 133 STREET ... \n", - "223429 Store/Commercial 10031.0 3418 BROADWAY ... \n", - "223430 NaN 10027.0 363 WEST 126 STREET ... \n", - "\n", - " Vehicle Type Taxi Company Borough Taxi Pick Up Location \\\n", - "0 NaN NaN NaN \n", - "1 NaN NaN NaN \n", - "2 NaN NaN NaN \n", - "3 NaN NaN NaN \n", - "4 NaN NaN NaN \n", - "... ... ... ... \n", - "223426 NaN NaN NaN \n", - "223427 NaN NaN NaN \n", - "223428 NaN NaN NaN \n", - "223429 NaN NaN NaN \n", - "223430 NaN NaN NaN \n", - "\n", - " Bridge Highway Name Bridge Highway Direction Road Ramp \\\n", - "0 NaN NaN NaN \n", - "1 NaN NaN NaN \n", - "2 NaN NaN NaN \n", - "3 NaN NaN NaN \n", - "4 NaN NaN NaN \n", - "... ... ... ... \n", - "223426 NaN NaN NaN \n", - "223427 NaN NaN NaN \n", - "223428 NaN NaN NaN \n", - "223429 NaN NaN NaN \n", - "223430 NaN NaN NaN \n", - "\n", - " Bridge Highway Segment Latitude Longitude \\\n", - "0 NaN 40.813847 -73.959651 \n", - "1 NaN 40.814950 -73.960123 \n", - "2 NaN 40.824162 -73.952978 \n", - "3 NaN 40.817344 -73.953384 \n", - "4 NaN 40.825013 -73.947055 \n", - "... ... ... ... \n", - "223426 NaN 40.814247 -73.959354 \n", - "223427 NaN 40.817997 -73.954128 \n", - "223428 NaN 40.817997 -73.954128 \n", - "223429 NaN 40.821958 -73.953225 \n", - "223430 NaN 40.811648 -73.952564 \n", - "\n", - " Location \n", - "0 (40.81384679464595, -73.95965063190523) \n", - "1 (40.81495033685791, -73.96012322412237) \n", - "2 (40.82416166479311, -73.95297805704422) \n", - "3 (40.817343949772905, -73.95338389635391) \n", - "4 (40.82501270441526, -73.94705537488909) \n", - "... ... \n", - "223426 (40.81424741977982, -73.95935415225733) \n", - "223427 (40.817997491323844, -73.95412768505584) \n", - "223428 (40.817997491323844, -73.95412768505584) \n", - "223429 (40.82195775753952, -73.95322530259935) \n", - "223430 (40.81164831951188, -73.95256423510611) \n", - "\n", - "[223431 rows x 39 columns]" - ] - }, - "execution_count": 35, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "data = pd.read_csv('../data/NYC-311-SR-CB09-4714.csv')\n", - "data" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "197" - ] - }, - "execution_count": 36, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "data['Complaint Type'].unique().size" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "HEAT/HOT WATER 37193\n", - "Noise - Residential 34161\n", - "Noise - Street/Sidewalk 20182\n", - "PAINT/PLASTER 10973\n", - "UNSANITARY CONDITION 10767\n", - " ... \n", - "Overflowing Recycling Baskets 1\n", - "Advocate-Prop Refunds/Credits 1\n", - "Advocate - Other 1\n", - "VACANT APARTMENT 1\n", - "AGENCY 1\n", - "Name: Complaint Type, Length: 197, dtype: int64" - ] - }, - "execution_count": 37, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "count = data['Complaint Type'].value_counts()\n", - "count" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 39, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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", 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", 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Walter John male \n", + "1307 3 0 van Billiard, Mr. Austin Blyler male \n", + "1308 3 0 van Melkebeke, Mr. Philemon male \n", + "\n", + " age sibsp parch ticket fare cabin embarked boat body \\\n", + "0 42 0 0 C.A. 5547 7,5500 NaN S NaN NaN \n", + "1 13 0 2 C.A. 2673 20,2500 NaN S NaN NaN \n", + "2 16 1 1 C.A. 2673 20,2500 NaN S NaN 190.0 \n", + "3 35 1 1 C.A. 2673 20,2500 NaN S A NaN \n", + "4 16 0 0 348125 7,6500 NaN S 16 NaN \n", + "... ... ... ... ... ... ... ... ... ... \n", + "1304 24 1 0 SC/PARIS 2167 27,7208 NaN C 12 NaN \n", + "1305 NaN 1 1 A/5. 851 14,5000 NaN S NaN NaN \n", + "1306 11,5 1 1 A/5. 851 14,5000 NaN S NaN 1.0 \n", + "1307 40,5 0 2 A/5. 851 14,5000 NaN S NaN 255.0 \n", + "1308 NaN 0 0 345777 9,5000 NaN S NaN NaN \n", + "\n", + " home.dest \n", + "0 NaN \n", + "1 East Providence, RI \n", + "2 East Providence, RI \n", + "3 East Providence, RI \n", + "4 Norway Los Angeles, CA \n", + "... ... \n", + "1304 Lucca, Italy / California \n", + "1305 NaN \n", + "1306 NaN \n", + "1307 NaN \n", + "1308 NaN \n", + "\n", + "[1309 rows x 14 columns]" ] }, - "execution_count": 68, + "execution_count": 282, "metadata": {}, "output_type": "execute_result" - }, - { - "data": { - "image/png": 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EBEkGERFBkkFERJBkEBERJBlERARJBhERQZJBRESQZBARESQZREQESQYREUGSQUREkGQQEREkGUREBEkGERFBkkFERJBkEBERJBlERARrmAwkXSvpckmLJC2obZtLmi/p6vp1s9ouSZ+StFjSZZJ27Hmdg+rxV0s6aM1+pIiIWFVr48rg2bZn2Z5d7x8OnG17JnB2vQ+wJzCz3g4BPgcleQBHArsAOwNHjiWQiIgYjkF0E+0FzK3fzwX27mk/2cUFwKaStgCeB8y3favt24D5wJwBxBURESuxpsnAwHclLZR0SG17uO0bAOrXh9X2LYHrep67pLatrD0iIoZk/TV8/tNsXy/pYcB8ST+f4Fj1afME7fd9gZJwDgHYZpttVjXWWIkZh5+51l7r2g+9YK29VkQMzxpdGdi+vn69GTid0ud/U+3+oX69uR6+BNi65+lbAddP0N7vfMfZnm179vTp09ck9IiI6LHaVwaSNgbWs31H/X4P4CjgDOAg4EP16zfqU84A3iLpFMpg8e22b5A0D/hgz6DxHsARqxtX3H+srSuWXK1ETG5NuokeDpwuaex1vmz7O5IuAk6VdDDwK+Bl9fizgOcDi4E7gdcA2L5V0tHARfW4o2zfugZxRUTEKlrtZGD7GuCJfdp/Dezep93Am1fyWicAJ6xuLBERsWayAjkiIpIMIiJizaeWRoyUDGrH/VWuDCIiIskgIiKSDCIigiSDiIggySAiIkgyiIgIkgwiIoIkg4iIIMkgIiJIMoiICJIMIiKCJIOIiCDJICIiSDKIiAiSDCIigiSDiIggySAiIkgyiIgIkgwiIoIOJQNJcyT9QtJiSYe3jiciYpSs3zoAAEnTgM8CzwWWABdJOsP2z9pGFtF9Mw4/c6291rUfesFae61Yt3QiGQA7A4ttXwMg6RRgLyDJIGIdlAS17pHt1jEgaR9gju3X1fuvAnax/ZZxxx0CHFLvPhr4xVo4/UOBW9bC66xtXYwrMU1NYpq6LsZ1f4/pkbanj2/sypWB+rTdJ0vZPg44bq2eWFpge/bafM21oYtxJaapSUxT18W4RjWmrgwgLwG27rm/FXB9o1giIkZOV5LBRcBMSdtK2hDYFzijcUwRESOjE91Etu+R9BZgHjANOMH2lUM6/VrtdlqLuhhXYpqaxDR1XYxrJGPqxAByRES01ZVuooiIaCjJICIikgwi7o8kzejTttPwI4l1xciMGUh6x0SP2/74sGLpR9Ketr89ru2Ntv+9QSyd/l0BSNoI2Mb22lh4uKaxPBz4IPAI23tK2h54iu3jG8Z0MfAi2/9X7/8t8Bnbj28UzzRgnu3ntDj/RCQ9Cvgk8BTgz8D5wD+MVURoGNe+wHa2j5G0NfAw2wsHdb5RujL4y0lurf2zpN3G7kg6jFKSo4VO/64kvQhYBHyn3p8lqeVU5JMoM+EeUe//N/D2ZtEUbwD+S9JfSXo+5c3u+a2CsX0vcKekB7eKYQJfBk4F/oryb/j/gK+0DEjSZ4BnAwfUpt8DA/1gODJXBl0n6aHAt4B3AXOAxwD72v5T08A6SNJCYDfgXNtPqm2X2X5Co3gusr2TpEt64llke1aLeHriegrwH8AfgRfYXto4nlOBXYH5lDc3AGy/rVlQgKQLbe8yru0C27s2jOli2zuO+z91qe0nDuqcnVhnMEySHggcDDwOeOBYu+3XNguqnP8WSX8HfA9YCOzjxpm6q78r4B7bt0v9qpg08XtJD6GWUJG0K3B7i0AkfZMVS7n8RY3leEnY/rsWcVVn1lvXnFPL5p9C+d29AjhT0uYAtm9tENOfJK3H8v9TD6F0YQ3MyCUD4AvAz4HnAUcB+wNXtQpG0h2Uf3DVrxsCjwL2kWTbm7SKjY79rnpcIemVwDRJM4G3AT9pGM87KCvmt5P0Y2A6sE+jWD7a6LyTsj23S2M9PV5Rv75hXPtrKX+TjxpuOEAp6f81YLqk9wMvB94/yBOOXDfR2GXXWLeCpA0oA1u7TfrkEdPV35WkvwDeA+xBSaLzgKNt/7FhTOtTKukK+EXL7r2uDtbWsZ6PAhva3lbSLOCoxlcrnSXpccBzKP+nvmf7ikGebxSvDMb+SH8jaQfgRmBGq2Ak7TjR47YvHlYsfXTqdzXG9p2UZPCe+sa3cYtEIOklK3nob2qXzNeHGlBl+15Jd0p6sO0m3VUr8T7K3iXnAtheJGnbVsFI2s3291f279jq3w+WTQ2+2vaVkp4OPFPSr2z/dlDnHMVkcJykzYB/plzaPwj4/xrG87EJHjNloLSVrv2uAJD0ZeCNwL2U8ZUHS/q47Y8MOZQXTfCYgWZvJpRB48sldWmwtt9YT8uuib8Fvk//f8fW/37/BewkaTtgLnAWZdbTCwd1wpHrJop139hMHUn7A08GDgMWtppN1EWSDurXbnvusGMZI+l44GzgcOCllLGeDWy/sVVMXdUzm+hdwF22P9U7s2gQRubKQNIBtr+4sgVVHVlItQOwPSvO3Dm5QRxd/11tUMcv9qYspPqTpGafaiR9EPiw7d/U+5sB77T93lYxtXzTn8BbKd17d1E+5c4Djm4aESDpAZTkNIOe90TbR7WKCbhH0suAV1H+nwNsMMgTjtKis43r136LqB7UKqgxko4EPl1vzwY+DLQaWJvod9V80Rll7vy1lDjPk/RIYGB9qVOw51giALB9Gw0XeAFIminpNEk/k3TN2K1lTJS1Du+xvVO9vZd2/8d7fYOywPMeSpfa2K2lg6nvA7avqWMrA10IN3LdRJKeZvvHk7UNm6TLgScCl9h+Yi1x8J+2J+qXjkrS+rbvaXTuy4CdbN9V728ELLD9uBbx1Bh+BBwJHEvpE38N5e/9yIYxXWx7x8nahk3SFbZ3aBlDF4xMN1GPTwPj//P1axu2P9j+s6R7JG0C3Eyb+c3LSJoLHDqu++NjrRadTdZ9BbTqvvoicLakEykDj6+lDPq1tJHts1UWq/wv8D5JP6QkiKGStCflSmlLSZ/qeWgTyqfx1n4i6fG2L28diKSv2N5P0iX03wd+YO9TI5MM6tL8p1IWcfS+mWxC2V2ttQWSNgU+T5kh8zvgp21D4gnjuz8kDWwAawp6u686w/aH65Xd7pQ54Ufbntc4rD/WFaxXq+wi+H/AwxrFcj2wgNIl1Fto7Q7gH5pExLKrcVPeB19Tu9Huoi4AbTQh4V3169AXLY5MN5FK1cZnUaYk9hZ8ugP4pu2rW8TVT51jvIntyxrHcSnwrNoHTl2e/4NWlS9j6lTKVV8FbEoZpN0E+IjtCxrGtAHljfYxlDfhX9i+u2E8j5zo8XpF1YxKvbLZ9e4C27cM9HyjkgzGSHpk63/kfiSdDPwQ+KHtn7eOB0DSgcARwGmUP96XA8fY/kLjuLaidO09rcb1I0p31pIhx/Ej20/vKSmy7CHKJ8smpUQkTQceCSzuvbJrTaV66n8A/0P5HW0LvMHjSrc3iGs7YIntuyQ9C3gCcHLL352kl1LGe35I+V09lVJW+/SBnXMEk8HfAP/IfaeRtS6xsBvwdOAZlLGCRcB5tj/ZOK7tKQvfBJxt+2ct4wGoC6m+TKmdBKXM7/62n9suqm6Q9DrK3gr/Q3mzPcR2y/Ley0j6OfBC24vr/e2AM20/pnFciyifwGdQprueATzadrMZYfWqfA/bN9X7Dwe+O8iqpaOYDC6ldBMtpKxgBcAD3DRiqmpphZ0oU8reSBlUbvKHUvubL+viLAv1KQ/dr23IMU0DHs6KHzB+1SCOK4Bn216qsmnLl2w/Zdhx9CPpPNvP7LkvSrfjMyd42sD1LPD6J8rf3KcHvcBrCjFd3tsdW/8eLx1kF+3IDCD3uMf251oHMZ6ksykDpOdTLg13sn1zq3jqzKZLJW3T4k1tErdIOoDl8673A37dKhhJb6XM0rmJ5WWGTeluGLa7XfctqPPTH9AghpW5UtJZlI1kDLwMuGisNlDDWkB/krQfcCDLS1MMdIHXFHy3/q6+XO/vS7lqGZhRvDJ4H2Xa5umUmQNAs5rly0g6llJa4S7gx8B5wPm2/9Awpu9TrlR+yor1bZouFJK0DfAZyjaFppSvPrTVWJCkxcAutpslpJ5YbqbU5R+zb+/9lrWJ6tTblXHDKcvbU67Ez7f9lbrA6xW2P9QinhqTKGN0T6N00Z4HnOYBvmGPYjL4ZZ9m2246p3+MpAdRFgj9I/BXtpt9sqszsO7D9g+GHUuXSToHeG6rRW/jYulbk2hMR8tUNFO79+baPmDSg+/nRi4ZdFWdC/4MytXB/1I+CfzQ9vcbx/VIYKbt76nsIzDN9h2NYpmoYqptD7XOTc96lcdR9jI4kxWvNlvXcOqUrswC6xPXPOBFLae59sRyNSuv5Grbjx7UuUduzKC+ob2DstvSISo7ZT3a9rcah7YRZQXtwi58wgSQ9HrgEGBzYDtgS8rg++6NQupXL2ZjSh2XhzD8omdji99+VW8b1lv0dyKlD/xl9f4Bta31LLBrgR9LOoMVu0NbJPOnj7u/HvASymK0Swd54pG7MpD0VcpMogNt71DryJzfcibKGJVNLGbaPrHOFX+Q7X7dWsOKZxFlM5ILvXxT7hVmObQi6S+BQymJ4FRKmYxmA+41po1tty5w1lldnAVWY+hbosP2QLeZnEgdM3glpdz3lcAHB70IdeSuDIDtbL+izh7A9h/qL76p+h9yNqW74UTKbIYvUi6pW7nL9t1jvx6VrR2bfnqoq6DfQdmPeS6w49gK6YYxPQU4nlL9dhtJT6Qspvr7lnF1UKdmgY0Ze9OvHzBs+3etYql/YwdRxgwvBPbxkPaLHsVkcHe9GjAsW/hy18RPGYoXA08CLgawfX39z9nSDyS9G9hI0nOBvwe+2SoYSR+hXDIfBzy+5R/tOJ8AnkdZrITtSyU1nTvfSx2oDFq9ljIL7FiWzwJrMoOol8o+Il+gdIci6RZKz8GVDcK5hjI9+Vjgl8CjJS0bJxjkAsJRTAZHAt8Btpb0Jcon71c3jai427ZVN2mRtPFkTxiCwyndMJcDb6BsvfefDeN5JyVxv5ey//FYe9PyD5STXzfuAvPelR3bQPMrX1i2CK8L+xeMdxzwDtvnANSSFJ+nlIAYtvMoiXI2y+sSjTH1A8cgjFwysD1f0sXArpQ/kkMHXQBqik6V9B/ApnXg9rWU/5DN2P5zjaFpHGNsd3UzpuskPRWwpA0p2zle1TimXme2DgC6VxK9x8ZjiQDA9rmtPoy1nOI6MgPIkia8TLZ98bBiWZnaFbMHJUnNsz2/cTwvpMzQeSTlg0PzT+BdpFJd8pPAcyi/o+9S3vSa94d3Sb8SD63LPtQYTqd0z/bWuppte++VP+v+Z5SSwVjmfyDl8utSyh/uEyizZcZP6Rp5dWXtS4DLB7nycV0labbtBa3jWFeooyXR6xXK+1k+rfM84P2tJyYM28h0E9l+NoCkUyiVHC+v93egjNw3ofuWP15B40/h1wFXJBGs1OfrivGvAF+x3aWuoS76GGVXsdPq/ZcBx7QKRtIsSvG32yhde50macNBLowbmSuDMR2e63wUcCPlUlWUqZN/afvDDWPaidJN9AOysravOtNjX+AVwN2UxHBKqzpJveqsuW2GNTVxKtShkuiSFlDKfF9MqQf2E+AC279tFdMYSZ+3/fqe+xsD/+UBlmkfxWTwFcoqwy9SPpEfQFnctV/juC60vctkbUOO6buU7TcvZ3k1zqaLcbqsri/Yl1Jg7EbbzdaISHoR8FFgQ9vb1k/BR7UoMihpE9u/rd1C99GySGStSLAzZebQUymFGW8EftxynYikD1I+DL5VZTvcbwEn2R7YbL6R6Sbq8RrgTZTVq1D6B7tQ0vpeSftTKkyasiCn9fTEzW3v0TiGdYJKvfmHUfY02BhY2jYi3kd5kzsXwPYile1UW/gy8ELKyv/77AhH2cypCdt3AudKuoiyyOtplFLWc1rFVON6t6SPSfosZYzzY7ZPHeQ5R+7KoKvqH+onWV7E68fA221f2zCmDwHft/3dVjF0naRnUBL33sAVlGT+Ndu3N47rQtu79M7WkXSZ22zy3kmSXkm5GphF6QYdSwjn276xUUy9V26iDGxfSJ0ePMhFZyOTDCSdavvlki6nz5Df5BEAABKnSURBVIBt/kjuqw5ub0z5Q/kTmVq6AknXUQrUnQKc6rpFYRdIOh44m7Jw8KWUAdINbL+xQSydnNYt6XfAzynFF8+z/d8t4uglaaL9xW37wIGde4SSwRa2b6glme+j1YCfpH+y/WFJn6Z/kur8LIdRJemRXRgo7qf2hb+HnnUrwNG2/9gglnMmeNhutP+4yl4GT2T5eMGjgRsouw2e78bl44dtZJLBmDoq/weXbR3/BngM8G3bf2oUz4tsf1Mr2ZTEjTcjkfQEykbhvXv7ttqeMFZDfdPbuAuzZLpMZdP5fYB/ALa1Pa1hLMcD7xy3WvvDvTOM1vo5RzAZLKRsIrMZcAGwALjT9v5NA+tR/+F/03p+v6QTKIvyrqRnb98OlA+ISUj6MmUrx3spA7cPBj5u+yMNY+rUXiL1g85Te24bUq4KfkKZTdRsQeFKVmsPtODgKM4mku07JR0MfLp20VzSLJiye9eptn+usnn5tykDWvdIeqXt77WKDdjV9vYNzx+rb/s6nXN/SoHBwyhJoVkyoJRmX8jyAnBLgP9HmTbZwkmUiRrfBv65Y11+60l68NhEhPoBcYNBnnAkk4FK/fn9KRU5oe3v4RUs36HrIEr/7nTgbyj1+lsmg/Mlbd9yYdC6pkPlojeQtAFlltNnbP9prCJuQ53aS6Qj/04r8wnK399XKWOJ+wIDXYA6isng7cARwOm2r5T0KGCiAa5Bu7unO+h5lNWr9wJXqWx00dJcyn/IGykzisZmE2Xm1cp1olw08B+U7RwvBc6rEydajxl0dS+RznHZ7XAhy1drv2KshM6gjNyYwRh1ZItCSRcArwNuAn4BPNl1q0tJP7f9mIaxLab08Y5fgdyly+lOkfQB2+9tHUc/ktZ3w/21a1Xe9wLbUyq7Pg14te1zW8XUVZIe0a/d9vUDO+eoJQP1bFFou/kWhZJ2oXwCnw58wvbRtf35wKtalsmQ9P1W0/5i9Ug6wPYXJb2j3+Ot60pJegjL9xK5wA33EpH0BduvknSo7U+2iqMfSVexfKr5RsDWwP/YfvTKn7VmWndDtNC1LQrXAx47fuaQ7bMoA38t/bzOSvkmKxaqy9TS7hrblKX1lqnL9Fl0dkP9uo2kbVotOgOeXLvPXivpZMZ18bWsmWT7sb33Je1MKaUzMKN4ZdBvmf6ltp/YKJ5/p9SQ+W/KdpzfabUUfjxJJ/ZpztTSWCXjFp09mTKde+yNt+Wis7dR6pQ9Cvg/VkwGtt2sZlI/khbafvLAXn8Ek8FpwMcpG3PvSlmmP9v2vo3jegywJ+Wq5cGUQe3vUOY7ty5YF5PoWrloSVsBn2Z5rasfUXZfW9I4ruY7m40n6XO239Q6jl41UY1Zj5JE/8oDLGHd1T1lB+mNwJuBLSnznGfV+03Z/rntY23Pocwg+BFl848LW8UkaStJp0u6WdJNkr5W32SiRy0XvYiSvJE0S9LACopN0YmUrtBHUP6vf7O2tda5T5+23yTpiZLeUm9dmC03vef2YMoU870GecKRuzLopwszi8YGsyZrG3JM8ynlh3v3ht1/kJ9O1kU9UwDP7UqFUHV3E6eurMNYpn4KPwQYGwt7MXCc7U83imcacIztw4d53pEaQJa0JbAFcJntuyU9jLLu4NWUT1AtPa73Tv0P0fqPZrrt3k+TJ0l6e7Nouuse27c3XD/Vzy2SDqDsvAalzPavWwQyrgjjVpI+1ft4B4oxvg7YZewDoaR/pZSlaJIMbN+rssvgUI1MMqhvYu8BFgMPkPRJytjByZT+uFZxHQG8G9hI0m9ZPoh1N3Bcq7iqzryhdNwVKrXxp9V6O2+j1Ldp6bWUcbFjKW/EP6ltLfTW+FnYKIaJiBU3krqX9osHL5H0dUq5jmW9Fs5+BmtO0s+Ap9u+VdI2lKTwTNsXNA4NAEn/YvuI1nH0qr+nzwBPYfkbyqFZdLYidahcdKy6uibjIOD02rQ3ZYvJTzSMqd++Bnb2M1hz4/sqJV1he4eWMfVS2TbxlZTSuUdL2hrYwvZPG4cWq0CNy0XXwocr47FFjbGiuhbi6ZRkfp7tJsUrJb3F9meanHuEksHNlB2pxuzbe791v6Wkz1FKPuxm+7G1SuF3bQ+971DSh4FrbP/7uPZ/oExvO2zYMXWZOlQuWtI7+zRvTCnK+BDbDxpySLEKWg6wj1Iy6Lt5zBi330TmYts7dmExXO1S28H2n8e1r0cZfO/MFVUXjM3SUSkX/WRquejWBf0k/SVwKCURnErZVP3mljHFxFomg5EZQG79Zj8Ff6pdDGMVHafTUxxuyDw+EdTGP7csOdxhnSoXLWlzSoHB/Sl1r3a0fVurePrp4hTTjnhCnUgy3sD3Hx/FRWdd9SnKANbDJR1DWXT2wUax3Flnxaygtv2hQTxdN1YuemMal4uW9BHgIuAO4PG239e1RFB16kOFpEdKek79fqN6VdXC5bY36XP7y0EmAhihbqJ1QS1JsTvlD+Vs21c1imNPyhzrD7B8KuBsyj4Qb69F9GICalQuWtKfKUUF72HF1b4D/2S5KtShUt+SXk9ZdLa57e3qh55/t717g1ialetIMugQSU8HZrpsbDGdUmb7l41i2QF4FzA2PnAF8FEPeIONdYk6Xi46pkbSIkqxyAt7xusut/34BrG823aTHoGRGTPop0v9lpKOpHz6fjSlhswGwBcphcaGzvYVlLnXsXKdKxcdq+WuWpEAKFd1NKqh1CoRwIgnA7rVb/li4EnAxVB2NGrYbxlTYPs/6tf3t44l1sgPJI1VAXgu8PeUwn4jZdQHkM9sHUCPsb2Qx2YTbTzJ8dERqe46dXVwdmC7da2mw4GllO1d30DZVKoT4xnDlDGDjpD0j8BM4LnAv1DqyHy5VeXEmLpUd52aWur7o8CGtreVNAs4yvbfNQ5tmTotdyvblzWO4wHAS4EZ9PTg2D5qYOdMMuiOeom6rL6N7fmNQ1qmS+MrXdPVctFd08VS3zWGc4G/o7zpLqJcJfzAdt+JAUOK6TvA7ZTZfMuK6Nn+2KDOOepjBp1QF5vNs/0coDMJYJwuja90Taq7Tk0XS30DPNj2byW9DjjR9pGSml4ZUK5O5gzzhCM5ZtC1fkuXbS3vlPTg1rFMoEvjK13zWuDlwI2Uzd73oV256C5bodR33eegdalvgPUlbUH5N/xW62Cqn0ga6tTWkesm6mq/paRTKXsyz2fF+uWtN/6IWCu6Wupb0suAfwZ+ZPvvJT0K+IjtlzaM6WfAXwO/pCwiHFs0OLAutVFMBl3tt+w3p9+2Tx56MDElKRe9+lqX+u66WtLkPga5l8gojhl0td9yU9uf7G2QdGirYGJK+u2bvaxcNJBk0KNfqW9JTUp9j4vrRPosMrPdrKvP9v9KeiLwjNr0Q9uXDvKcozhm0NV+y35XBq8edhDjdW18pUtsf2zsRtmidCPgNZR9Mh7VNLhu2r5eCexNmcu/DfCqtiEBZZzgzHo7G9gE+F3LgOoHwS8BD6u3L0p660DPOYLdRJ3qt5S0H2WHs6cDP+x5aBPKVcxzWsQF3R1f6ZI+5aI/2dEqoc1JuhKYRVmT8RnbP2i1Z8dE6r4d37O9W8MYLgOeYvv39f7GwPmD7M4euW4i23dSksF7evotWw5g/YQyA+WhQO8c4juA1tPb3kcp4HUugO1Fkma0C6dbarnol1CuCh5vu+mnyXXAWKnvS2lc6nsSMylXLS2JnvUF9fuB9m2P4pVBZ7Yo7EfSQ4BnAr+yvXCy4wccy4W2d9GKu681H2zvinWlXHSXtSr1PS6GOyj/fqpfbwSOsP21hjG9g9J1fHpt2hs4yfYnBnXOkbsyoPZbqmxReBZ1i0KgSTKQ9C3gcNtX1LnOFwMLgO0kHTfIf/w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" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" } ], "source": [ - "count[ count.index.str.contains(\"Noise\") ].plot(kind=\"bar\")" + "pd.concat((df4, df5[[\"boat\", \"body\", \"home.dest\"]]), axis=1)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "##### Ejercicio weather y nycity" + "### Ejemplo comptage" ] }, { - "cell_type": "markdown", + "cell_type": "code", + "execution_count": 283, "metadata": {}, + "outputs": [], "source": [ - "##### Group by: split-apply-combine\n", - "\n", - "Muchas veces las operaciones no las queremos hacer sobre una variable sino agrupandola en función de otra. Pandas implementa esta funcionalidad en los métodos `.groupby()`, `.transform()` y `.aggregate()`.\n", - "\n", - "Más información: https://pandas.pydata.org/pandas-docs/stable/groupby.html" + "df1 = pd.read_csv(\"../../data/localisationcompteursvelo2015.csv\", encoding=\"latin-1\")" ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 320, "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "Trimestre\n", - "(0.999, 3.0] 258.373626\n", - "(3.0, 6.0] 2466.109890\n", - "(6.0, 9.0] 3293.293478\n", - "(9.0, 12.0] 1190.315217\n", - "Name: University, dtype: float64" - ] - }, - "execution_count": 69, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "bikes['Month'] = bikes.index.month\n", - "bikes['Trimestre'] = pd.cut(bikes['Month'], [1, 3, 6, 9, 12], include_lowest=True)\n", - "bikes.groupby('Trimestre')['University'].mean()" + "outputs": [], + "source": [ + "df2 = pd.read_csv(\"../../data/comptagevelo2017.csv\", parse_dates=[\"Date\"], dayfirst=True)" ] }, { "cell_type": "code", - 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Berri1BoyerBrébeufCSC (Côte Sainte-Catherine)Maisonneuve_2...Saint-AntoineSaint-UrbainTotem_LaurierUniversityViger
summeansummeansummeansummeansummeanDateUnnamed: 1Berri1BoyerBoyer 2BrébeufChristophe-ColombCSC (Côte Sainte-Catherine)Eco-Totem - Métro LaurierMaisonneuve_2...summeansummeansummeansummeansummean
MonthNotre-DameParcPierDupPont Jacques-CartierRachel / Hôtel de VilleRachel / PapineauRené-LévesqueSaint-AntoineSaint-Laurent/BellechasseSaint-Urbain
02017-01-0100:003835NaN20NaN605838...101390.04277158725
18503274.2903232447.87096847315.2580651955.063.06451610244.0330.4516132017-01-0200:00109400.043NaN6166152...108434.967742255582.4193555817187.6451616012193.935484125840.580645952140.013623122101824
28432290.75862134812.00000062421.5172411618.055.79310311079.0382.0344832017-01-0300:001412424.09NaN14131216...129644.689655257388.7241383803131.1379315490189.310345124642.9655173271170.09924253285325
317294557.870968206966.741935116437.5483876450.0208.06451621983.0709.1290322017-01-0400:002336495.07NaN12160284...183959.3225818916287.61290311238362.51612912010387.419355180758.2903234564515.0128296131338210
4627592091.966667424501415.000000594731982.43333318297.0731.88000067934.02264.4666672017-01-0500:002659394.011NaN14160306...6955231.83333329079969.300000488901629.666667419171397.2333336105203.500000389760.018933889457869
51360014387.1290321121033616.2258061369064416.32258130060.02147.142857146900.04738.709677..................................................................16256524.387097529321707.483871986803183.225806864152787.58064513288428.645161
61459724865.7333331219584065.2666671444074813.56666763753.02125.100000163284.05442.8000003602017-12-2700:001169554.067.055112143...18441614.700000568481894.9333331104393681.300000960843202.80000014966498.86666704731.09315475141437
71566735053.9677421239513998.4193551515174887.64516161741.01991.645161183623.05923.3225813612017-12-2800:0013711251.0213.032108123...19823639.451613526531698.4838711120323613.9354841015933277.19354816671537.77419403143.072138261112321
81465584727.6774191197063861.4838711433984625.74193577663.02505.258065182923.05900.7419353622017-12-2900:001246153.0188.017229112...17687570.548387510681647.3548391128763641.161290980183161.87096816807542.16129002828.08712730613054
91452964843.2000001136923789.7333331364794549.300000101796.03393.200000202139.06737.9666673632017-12-3000:00806944.0310.0239157...17765592.166667556351854.5000001157943859.8000001033723445.73333314168472.26666702131.0921221958513
3642017-12-3100:00593923.014.0165952...01337.076801541024
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365 rows × 21 columns

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Dateestacionn_usosidnomnom_comptageEtatTypeAnnee_implantecoord_Xcoord_Y
7302017-01-01Boyer 2NaNNaNNaNNaNNaNNaNNaNNaNNaN
10962853105.967742642632073.000000843872722.16129064486.02080.193548128940.04159.354839...10596341.806452398991287.064516784272529.903226661862135.0322589141294.87096814602017-01-01Christophe-ColombNaNNaNNaNNaNNaNNaNNaNNaNNaN
11526371754.566667300531001.766667367131223.76666732725.01090.83333354293.03393.312500...6031201.03333322592753.066667493861646.200000381961273.2000005204173.46666721902017-01-01Eco-Totem - Métro Laurier58.0NaNNaNNaNNaNNaNNaNNaNNaN
1212185393.0645166582212.32258166921.5806455362.0172.9677420.062052017-01-01Saint-Laurent/Bellechasse72.0NaNNaNNaNNaNNaNNaNNaNNaN...154549.8387103408109.93548411960385.8064525127165.387097114636.967742
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12 rows × 36 columns

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" ], "text/plain": [ - " Berri1 Boyer Brébeuf \\\n", - " sum mean sum mean sum mean \n", - "Month \n", - "1 8503 274.290323 244 7.870968 473 15.258065 \n", - "2 8432 290.758621 348 12.000000 624 21.517241 \n", - "3 17294 557.870968 2069 66.741935 1164 37.548387 \n", - "4 62759 2091.966667 42450 1415.000000 59473 1982.433333 \n", - "5 136001 4387.129032 112103 3616.225806 136906 4416.322581 \n", - "6 145972 4865.733333 121958 4065.266667 144407 4813.566667 \n", - "7 156673 5053.967742 123951 3998.419355 151517 4887.645161 \n", - "8 146558 4727.677419 119706 3861.483871 143398 4625.741935 \n", - "9 145296 4843.200000 113692 3789.733333 136479 4549.300000 \n", - "10 96285 3105.967742 64263 2073.000000 84387 2722.161290 \n", - "11 52637 1754.566667 30053 1001.766667 36713 1223.766667 \n", - "12 12185 393.064516 6582 212.322581 669 21.580645 \n", - "\n", - " CSC (Côte Sainte-Catherine) Maisonneuve_2 \\\n", - " sum mean sum mean \n", - "Month \n", - "1 1955.0 63.064516 10244.0 330.451613 \n", - "2 1618.0 55.793103 11079.0 382.034483 \n", - "3 6450.0 208.064516 21983.0 709.129032 \n", - "4 18297.0 731.880000 67934.0 2264.466667 \n", - "5 30060.0 2147.142857 146900.0 4738.709677 \n", - "6 63753.0 2125.100000 163284.0 5442.800000 \n", - "7 61741.0 1991.645161 183623.0 5923.322581 \n", - "8 77663.0 2505.258065 182923.0 5900.741935 \n", - "9 101796.0 3393.200000 202139.0 6737.966667 \n", - "10 64486.0 2080.193548 128940.0 4159.354839 \n", - "11 32725.0 1090.833333 54293.0 3393.312500 \n", - "12 5362.0 172.967742 0.0 NaN \n", - "\n", - " ... Saint-Antoine Saint-Urbain Totem_Laurier \\\n", - " ... sum mean sum mean sum \n", - "Month ... \n", - "1 ... 1084 34.967742 2555 82.419355 5817 \n", - "2 ... 1296 44.689655 2573 88.724138 3803 \n", - "3 ... 1839 59.322581 8916 287.612903 11238 \n", - "4 ... 6955 231.833333 29079 969.300000 48890 \n", - "5 ... 16256 524.387097 52932 1707.483871 98680 \n", - "6 ... 18441 614.700000 56848 1894.933333 110439 \n", - "7 ... 19823 639.451613 52653 1698.483871 112032 \n", - "8 ... 17687 570.548387 51068 1647.354839 112876 \n", - "9 ... 17765 592.166667 55635 1854.500000 115794 \n", - "10 ... 10596 341.806452 39899 1287.064516 78427 \n", - "11 ... 6031 201.033333 22592 753.066667 49386 \n", - "12 ... 1545 49.838710 3408 109.935484 11960 \n", - "\n", - " University Viger \n", - " mean sum mean sum mean \n", - "Month \n", - "1 187.645161 6012 193.935484 1258 40.580645 \n", - "2 131.137931 5490 189.310345 1246 42.965517 \n", - "3 362.516129 12010 387.419355 1807 58.290323 \n", - "4 1629.666667 41917 1397.233333 6105 203.500000 \n", - "5 3183.225806 86415 2787.580645 13288 428.645161 \n", - "6 3681.300000 96084 3202.800000 14966 498.866667 \n", - "7 3613.935484 101593 3277.193548 16671 537.774194 \n", - "8 3641.161290 98018 3161.870968 16807 542.161290 \n", - "9 3859.800000 103372 3445.733333 14168 472.266667 \n", - "10 2529.903226 66186 2135.032258 9141 294.870968 \n", - "11 1646.200000 38196 1273.200000 5204 173.466667 \n", - "12 385.806452 5127 165.387097 1146 36.967742 \n", + " Date estacion n_usos id nom nom_comptage Etat \\\n", + "730 2017-01-01 Boyer 2 NaN NaN NaN NaN NaN \n", + "1460 2017-01-01 Christophe-Colomb NaN NaN NaN NaN NaN \n", + "2190 2017-01-01 Eco-Totem - Métro Laurier 58.0 NaN NaN NaN NaN \n", + "6205 2017-01-01 Saint-Laurent/Bellechasse 72.0 NaN NaN NaN NaN \n", "\n", - "[12 rows x 36 columns]" + " Type Annee_implante coord_X coord_Y \n", + "730 NaN NaN NaN NaN \n", + "1460 NaN NaN NaN NaN \n", + "2190 NaN NaN NaN NaN \n", + "6205 NaN NaN NaN NaN " ] }, - "execution_count": 70, + "execution_count": 327, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df4[df4[\"Type\"].isna()].drop_duplicates(subset=\"estacion\").sort_values(\"estacion\")" + ] + }, + { + "cell_type": "code", + "execution_count": 335, + "metadata": {}, + "outputs": [], + "source": [ + "res = df3.groupby([\"estacion\", df3[\"Date\"].dt.month])[\"n_usos\"].mean().reset_index().rename(columns={\"Date\": \"mes\"})" + ] + }, + { + "cell_type": "code", + "execution_count": 347, + "metadata": {}, + "outputs": [], + "source": [ + "res = df3.groupby(\"estacion\")[\"n_usos\"].mean()" + ] + }, + { + "cell_type": "code", + "execution_count": 348, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "estacion\n", + "Berri1 2532.873973\n", + "Boyer 1740.473973\n", + "Boyer 2 1295.035813\n", + "Brébeuf 2155.421918\n", + "CSC 1231.958904\n", + "Christophe-Colomb 634.555901\n", + "Eco-Totem - Métro Laurier 1634.810959\n", + "Maisonneuve_2 2363.610959\n", + "Maisonneuve_3 991.030137\n", + "Notre-Dame 970.035616\n", + "Parc 1627.389041\n", + "PierDup 848.134247\n", + "Pont Jacques-Cartier 933.144330\n", + "Rachel/Hôtel de Ville 2057.471233\n", + "Rachel/Papineau 2869.682192\n", + "René-Lévesque 978.454795\n", + "Saint-Antoine 293.013699\n", + "Saint-Laurent/Bellechasse 4065.501370\n", + "Saint-Urbain 1016.668493\n", + "Name: n_usos, dtype: float64" + ] + }, + "execution_count": 348, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "import numpy as np\n", - "\n", - "res = bikes.groupby('Month').agg([np.sum, np.mean])\n", "res" ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 355, + "metadata": {}, + "outputs": [], + "source": [ + "res1 = df1.merge(res, how=\"inner\", right_index=True, left_on=\"nom_comptage\")" + ] + }, + { + "cell_type": "code", + "execution_count": 358, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 358, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "res1.plot.scatter(x=\"coord_X\", y=\"coord_Y\", s=\"n_usos\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Ejemplo IDNEO 2" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "import pandas as pd" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [], + "source": [ + "df1 = pd.read_csv(\"../../data/cloc_db.csv\")" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [], + "source": [ + "df2 = pd.read_csv(\"../../data/unittest_db.csv\")" + ] + }, + { + "cell_type": "code", + "execution_count": 41, "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "Month\n", - "1 8503\n", - "2 8432\n", - "3 17294\n", - "4 62759\n", - "5 136001\n", - "6 145972\n", - "7 156673\n", - "8 146558\n", - "9 145296\n", - "10 96285\n", - "11 52637\n", - "12 12185\n", - "Name: (Berri1, sum), dtype: int64" - ] - }, - "execution_count": 71, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ - "res.loc[:, (\"Berri1\", \"sum\")]" + "res = df2.merge(df1, how=\"left\", left_on=\"filename\", right_on=\"filename\")" ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 46, "metadata": {}, "outputs": [ { @@ -10261,141 +19750,182 @@ " vertical-align: top;\n", " }\n", "\n", - " .dataframe thead tr th {\n", - " text-align: left;\n", - " }\n", - "\n", - " .dataframe thead tr:last-of-type th {\n", + " .dataframe thead th {\n", " text-align: right;\n", " }\n", "\n", "\n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", "
Berri1Boyer
meansumsum
Month
filenameTest nameStatusStatus_PASSlines of codeorigin
0SWDIAG03_DiagnosticMonitoring.ctest_InterlockAdcReadingToTemperatureFAILFalse1203manual
1274.2903238503244SWDIAG03_DiagnosticMonitoring.ctest_modifyBit_event0_bit2PASSTrue1203manual
2290.7586218432348SWDIAG03_DiagnosticMonitoring.ctest_modifyBit_event1_bit2PASSTrue1203manual
3557.870968172942069SWDIAG03_DiagnosticMonitoring.ctest_modifyBit_event1_bit7PASSTrue1203manual
42091.9666676275942450
54387.129032136001112103
64865.733333145972121958SWDIAG03_DiagnosticMonitoring.ctest_modifyBit_event1_bit255PASSTrue1203manual
75053.967742156673123951.....................
84727.677419146558119706411BSW03_ButtonManager.ctest_BSW03_ButtonManager_Task_Front_UPPASSTrue463manual
94843.200000145296113692412BSW03_ButtonManager.ctest_BSW03_ButtonManager_Task_Front_DOWNPASSTrue463manual
103105.9677429628564263413BSW03_ButtonManager.ctest_BSW03_ButtonManager_Task_Front_errorsPASSTrue463manual
111754.5666675263730053414BSW03_ButtonManager.ctest_BSW03_ButtonManager_Task_Front_direction_...PASSTrue463manual
12393.064516121856582415BSW03_ButtonManager.ctest_BSW03_ButtonManager_Debounce_over_short_t...PASSTrue463manual
\n", + "

416 rows × 6 columns

\n", "" ], "text/plain": [ - " Berri1 Boyer\n", - " mean sum sum\n", - "Month \n", - "1 274.290323 8503 244\n", - "2 290.758621 8432 348\n", - "3 557.870968 17294 2069\n", - "4 2091.966667 62759 42450\n", - "5 4387.129032 136001 112103\n", - "6 4865.733333 145972 121958\n", - "7 5053.967742 156673 123951\n", - "8 4727.677419 146558 119706\n", - "9 4843.200000 145296 113692\n", - "10 3105.967742 96285 64263\n", - "11 1754.566667 52637 30053\n", - "12 393.064516 12185 6582" + " filename \\\n", + "0 SWDIAG03_DiagnosticMonitoring.c \n", + "1 SWDIAG03_DiagnosticMonitoring.c \n", + "2 SWDIAG03_DiagnosticMonitoring.c \n", + "3 SWDIAG03_DiagnosticMonitoring.c \n", + "4 SWDIAG03_DiagnosticMonitoring.c \n", + ".. ... \n", + "411 BSW03_ButtonManager.c \n", + "412 BSW03_ButtonManager.c \n", + "413 BSW03_ButtonManager.c \n", + "414 BSW03_ButtonManager.c \n", + "415 BSW03_ButtonManager.c \n", + "\n", + " Test name Status Status_PASS \\\n", + "0 test_InterlockAdcReadingToTemperature FAIL False \n", + "1 test_modifyBit_event0_bit2 PASS True \n", + "2 test_modifyBit_event1_bit2 PASS True \n", + "3 test_modifyBit_event1_bit7 PASS True \n", + "4 test_modifyBit_event1_bit255 PASS True \n", + ".. ... ... ... \n", + "411 test_BSW03_ButtonManager_Task_Front_UP PASS True \n", + "412 test_BSW03_ButtonManager_Task_Front_DOWN PASS True \n", + "413 test_BSW03_ButtonManager_Task_Front_errors PASS True \n", + "414 test_BSW03_ButtonManager_Task_Front_direction_... PASS True \n", + "415 test_BSW03_ButtonManager_Debounce_over_short_t... PASS True \n", + "\n", + " lines of code origin \n", + "0 1203 manual \n", + "1 1203 manual \n", + "2 1203 manual \n", + "3 1203 manual \n", + "4 1203 manual \n", + ".. ... ... \n", + "411 463 manual \n", + "412 463 manual \n", + "413 463 manual \n", + "414 463 manual \n", + "415 463 manual \n", + "\n", + "[416 rows x 6 columns]" ] }, - "execution_count": 72, + "execution_count": 46, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "bikes.reset_index().groupby('Month').agg({'Berri1': [np.mean, np.sum], 'Boyer': np.sum})" + "res" ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 19, "metadata": {}, "outputs": [ { @@ -10419,434 +19949,750 @@ " \n", " \n", " \n", - " Berri1\n", - " University\n", - " \n", - " \n", - " Month\n", - " \n", - " \n", + " filename\n", + " Test name\n", + " Status\n", " \n", " \n", " \n", " \n", + " 0\n", + " SWDIAG03_DiagnosticMonitoring.c\n", + " test_InterlockAdcReadingToTemperature\n", + " PASS\n", + " \n", + " \n", " 1\n", - " 8503\n", - " 6012\n", + " SWDIAG03_DiagnosticMonitoring.c\n", + " test_modifyBit_event0_bit2\n", + " PASS\n", " \n", " \n", " 2\n", - " 8432\n", - " 5490\n", + " SWDIAG03_DiagnosticMonitoring.c\n", + " test_modifyBit_event1_bit2\n", + " PASS\n", " \n", " \n", " 3\n", - " 17294\n", - " 12010\n", + " SWDIAG03_DiagnosticMonitoring.c\n", + " test_modifyBit_event1_bit7\n", + " PASS\n", " \n", " \n", " 4\n", - " 62759\n", - " 41917\n", - " \n", - " \n", - " 5\n", - " 136001\n", - " 86415\n", + " SWDIAG03_DiagnosticMonitoring.c\n", + " test_modifyBit_event1_bit255\n", + " PASS\n", " \n", " \n", - " 6\n", - " 145972\n", - " 96084\n", - " \n", - " \n", - " 7\n", - " 156673\n", - " 101593\n", + " ...\n", + " ...\n", + " ...\n", + " ...\n", " \n", " \n", - " 8\n", - " 146558\n", - " 98018\n", + " 411\n", + " BSW03_ButtonManager.c\n", + " test_BSW03_ButtonManager_Task_Front_UP\n", + " PASS\n", " \n", " \n", - " 9\n", - " 145296\n", - " 103372\n", + " 412\n", + " BSW03_ButtonManager.c\n", + " test_BSW03_ButtonManager_Task_Front_DOWN\n", + " PASS\n", " \n", " \n", - " 10\n", - " 96285\n", - " 66186\n", + " 413\n", + " BSW03_ButtonManager.c\n", + " test_BSW03_ButtonManager_Task_Front_errors\n", + " PASS\n", " \n", " \n", - " 11\n", - " 52637\n", - " 38196\n", + " 414\n", + " BSW03_ButtonManager.c\n", + " test_BSW03_ButtonManager_Task_Front_direction_...\n", + " PASS\n", " \n", " \n", - " 12\n", - " 12185\n", - " 5127\n", + " 415\n", + " BSW03_ButtonManager.c\n", + " test_BSW03_ButtonManager_Debounce_over_short_t...\n", + " PASS\n", " \n", " \n", "\n", + "

416 rows × 3 columns

\n", "" ], "text/plain": [ - " Berri1 University\n", - "Month \n", - "1 8503 6012\n", - "2 8432 5490\n", - "3 17294 12010\n", - "4 62759 41917\n", - "5 136001 86415\n", - "6 145972 96084\n", - "7 156673 101593\n", - "8 146558 98018\n", - "9 145296 103372\n", - "10 96285 66186\n", - "11 52637 38196\n", - "12 12185 5127" + " filename \\\n", + "0 SWDIAG03_DiagnosticMonitoring.c \n", + "1 SWDIAG03_DiagnosticMonitoring.c \n", + "2 SWDIAG03_DiagnosticMonitoring.c \n", + "3 SWDIAG03_DiagnosticMonitoring.c \n", + "4 SWDIAG03_DiagnosticMonitoring.c \n", + ".. ... \n", + "411 BSW03_ButtonManager.c \n", + "412 BSW03_ButtonManager.c \n", + "413 BSW03_ButtonManager.c \n", + "414 BSW03_ButtonManager.c \n", + "415 BSW03_ButtonManager.c \n", + "\n", + " Test name Status \n", + "0 test_InterlockAdcReadingToTemperature PASS \n", + "1 test_modifyBit_event0_bit2 PASS \n", + "2 test_modifyBit_event1_bit2 PASS \n", + "3 test_modifyBit_event1_bit7 PASS \n", + "4 test_modifyBit_event1_bit255 PASS \n", + ".. ... ... \n", + "411 test_BSW03_ButtonManager_Task_Front_UP PASS \n", + "412 test_BSW03_ButtonManager_Task_Front_DOWN PASS \n", + "413 test_BSW03_ButtonManager_Task_Front_errors PASS \n", + "414 test_BSW03_ButtonManager_Task_Front_direction_... PASS \n", + "415 test_BSW03_ButtonManager_Debounce_over_short_t... PASS \n", + "\n", + "[416 rows x 3 columns]" ] }, - "execution_count": 73, + "execution_count": 19, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "\n", - "df1 = bikes.groupby('Month').agg({'Berri1': np.mean, 'Boyer': np.sum})\n", - "df1 = bikes.groupby('Month').aggregate([np.sum, np.mean])\n", - "df1 = bikes.groupby(['Month'])[['Berri1', 'University']].sum()\n", - "df1" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "bikes['Month'] = bikes.index.month" + "df2" ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 30, "metadata": {}, "outputs": [ { "data": { - "image/png": "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", "text/plain": [ - "
" + "filename\n", + "BSW01_PwmDrv.c 1.000000\n", + "BSW01_PwmDrv_FtmConfiguration.c 1.000000\n", + "BSW01_PwmDrv_WaveformParameters.c 1.000000\n", + "BSW02_LIN_Drv.c 1.000000\n", + "BSW03_ButtonManager.c 1.000000\n", + "BSW04_NvM_Manager.c 1.000000\n", + "BSW07_VariantsManager.c 1.000000\n", + "BSW08_IoHwAb.c 1.000000\n", + "BSW09_ECUManager.c 1.000000\n", + "SWDIAG03_DiagnosticMonitoring.c 0.993007\n", + "Name: Status, dtype: float64" ] }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" + "execution_count": 30, + "metadata": {}, + "output_type": "execute_result" } ], "source": [ - "df1['Berri1'].plot(kind='bar');" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "###### Ejercicio bicis" + "(df2[\"Status\"] == \"PASS\").groupby(df2[\"filename\"]).mean()" ] }, { - "cell_type": "markdown", + "cell_type": "code", + "execution_count": 31, "metadata": {}, + "outputs": [], "source": [ - "##### Combinar Pandas y Matplotlib\n", - "\n", - "El método `.plot()` de los `DataFrames` de Pandas es bastante flexible, pero no podemos modificar ningún aspecto del gráfico no contemplado en los parámetros opcionales:\n", - "\n", - "https://pandas.pydata.org/pandas-docs/stable/generated/pandas.DataFrame.plot.html\n", - "\n", - "En ese caso, puesto que los gráficos de Pandas están construídos sobre la librería Matplotlib, podemos utilizar las funciones de bajo nivel de la misma para modificar cualquier aspecto de nuestro gráfico." + "df2[\"Status_PASS\"] = df2[\"Status\"] == \"PASS\"" ] }, { "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 76, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], + "execution_count": 48, + "metadata": {}, + "outputs": [], "source": [ - "fig, ax = plt.subplots()\n", - "df1.plot(kind='barh', y='Berri1', ax=ax)" + "res1 = df2.groupby(\"filename\")[\"Status_PASS\"].mean()" ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 49, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "Text(0, 0.5, 'Mes')" + "filename\n", + "BSW01_PwmDrv.c 1.000000\n", + "BSW01_PwmDrv_FtmConfiguration.c 1.000000\n", + "BSW01_PwmDrv_WaveformParameters.c 1.000000\n", + "BSW02_LIN_Drv.c 1.000000\n", + "BSW03_ButtonManager.c 1.000000\n", + "BSW04_NvM_Manager.c 1.000000\n", + "BSW07_VariantsManager.c 1.000000\n", + "BSW08_IoHwAb.c 1.000000\n", + "BSW09_ECUManager.c 1.000000\n", + "SWDIAG03_DiagnosticMonitoring.c 0.993007\n", + "Name: Status_PASS, dtype: float64" ] }, - "execution_count": 77, + "execution_count": 49, "metadata": {}, "output_type": "execute_result" - }, - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" } ], "source": [ - "fig, ax = plt.subplots()\n", - "df1.plot(kind='barh', y='Berri1', ax=ax)\n", - "ax.set_xlabel('Numero de ciclistas')\n", - "ax.set_ylabel('Mes')" + "res1" ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 50, + "metadata": {}, + "outputs": [], + "source": [ + "res2 = df1.merge(res1, how=\"left\", left_on=\"filename\", right_index=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 55, "metadata": {}, "outputs": [ { "data": { - "image/png": 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", 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" + "filename 0\n", + "lines of code 0\n", + "origin 0\n", + "Status_PASS 24\n", + "dtype: int64" ] }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" + "execution_count": 55, + "metadata": {}, + "output_type": "execute_result" } ], "source": [ - "fig, ax = plt.subplots()\n", - "df1.plot(kind='barh', y='Berri1', ax=ax)\n", - "ax.set_xlabel('Numero de ciclistas')\n", - "ax.set_ylabel('Mes')\n", - "ax.legend().set_visible(False)" + "res2.isna().sum()" ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 56, "metadata": {}, "outputs": [ { "data": { - "image/png": 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0SWC02_ApplicationControl.c5956generatedNaN
1BSW02_LIN_Drv.c1373manual1.000000
2SWC01_WaveformGeneration.c1210generatedNaN
3SWDIAG03_DiagnosticMonitoring.c1203manual0.993007
4SWC02_ApplicationControl_data.c600generatedNaN
5BSW08_IoHwAb.c524manual1.000000
6BSW03_ButtonManager.c463manual1.000000
7BSW07_VariantsManager.c314manual1.000000
8BSW01_PwmDrv_FtmConfiguration.c301manual1.000000
9BSW04_NvM_Manager.c261manual1.000000
10BSW01_PwmDrv_WaveformParameters.c253manual1.000000
11RamErrorsCheck.c185manualNaN
12BSW09_ECUManager.c135manual1.000000
13main.c134manualNaN
14CrcCalc.c97manualNaN
15BINARYSEARCH_U8real_T_Near_iL.c63generatedNaN
16SWC01_WaveformGeneration_data.c56generatedNaN
17look1_bs8lfts8Df_linlcapw.c49generatedNaN
18mul_wide_s32.c45generatedNaN
19look1_is8lfDf_linlcapw.c37generatedNaN
20look1_is8lfyu16Df_linlcapw.c37generatedNaN
21Ea.c35manualNaN
22mul_wide_u32.c34generatedNaN
23BINARYSEARCH_U8_Near_iL.c31generatedNaN
24div_s32_floor.c29generatedNaN
25div_s8s32_floor.c29generatedNaN
26plook_u32s8_linckan.c20generatedNaN
27rt_roundd.c19generatedNaN
28mul_s32_sat.c19generatedNaN
29div_u32_near.c17generatedNaN
30div_s32.c17generatedNaN
31mul_u32_sat.c13generatedNaN
32linsearch_u32s8.c12generatedNaN
33BSW01_PwmDrv.c6manual1.000000
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" + ], "text/plain": [ - "
" + " filename lines of code origin Status_PASS\n", + "0 SWC02_ApplicationControl.c 5956 generated NaN\n", + "1 BSW02_LIN_Drv.c 1373 manual 1.000000\n", + "2 SWC01_WaveformGeneration.c 1210 generated NaN\n", + "3 SWDIAG03_DiagnosticMonitoring.c 1203 manual 0.993007\n", + "4 SWC02_ApplicationControl_data.c 600 generated NaN\n", + "5 BSW08_IoHwAb.c 524 manual 1.000000\n", + "6 BSW03_ButtonManager.c 463 manual 1.000000\n", + "7 BSW07_VariantsManager.c 314 manual 1.000000\n", + "8 BSW01_PwmDrv_FtmConfiguration.c 301 manual 1.000000\n", + "9 BSW04_NvM_Manager.c 261 manual 1.000000\n", + "10 BSW01_PwmDrv_WaveformParameters.c 253 manual 1.000000\n", + "11 RamErrorsCheck.c 185 manual NaN\n", + "12 BSW09_ECUManager.c 135 manual 1.000000\n", + "13 main.c 134 manual NaN\n", + "14 CrcCalc.c 97 manual NaN\n", + "15 BINARYSEARCH_U8real_T_Near_iL.c 63 generated NaN\n", + "16 SWC01_WaveformGeneration_data.c 56 generated NaN\n", + "17 look1_bs8lfts8Df_linlcapw.c 49 generated NaN\n", + "18 mul_wide_s32.c 45 generated NaN\n", + "19 look1_is8lfDf_linlcapw.c 37 generated NaN\n", + "20 look1_is8lfyu16Df_linlcapw.c 37 generated NaN\n", + "21 Ea.c 35 manual NaN\n", + "22 mul_wide_u32.c 34 generated NaN\n", + "23 BINARYSEARCH_U8_Near_iL.c 31 generated NaN\n", + "24 div_s32_floor.c 29 generated NaN\n", + "25 div_s8s32_floor.c 29 generated NaN\n", + "26 plook_u32s8_linckan.c 20 generated NaN\n", + "27 rt_roundd.c 19 generated NaN\n", + "28 mul_s32_sat.c 19 generated NaN\n", + "29 div_u32_near.c 17 generated NaN\n", + "30 div_s32.c 17 generated NaN\n", + "31 mul_u32_sat.c 13 generated NaN\n", + "32 linsearch_u32s8.c 12 generated NaN\n", + "33 BSW01_PwmDrv.c 6 manual 1.000000" ] }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" + "execution_count": 56, + "metadata": {}, + "output_type": "execute_result" } ], "source": [ - "from matplotlib.ticker import FuncFormatter\n", - "\n", - "fig, ax = plt.subplots()\n", - "df1.plot(kind='barh', y='Berri1', ax=ax)\n", - "ax.set_xlabel('Numero de ciclistas')\n", - "ax.set_ylabel('Mes')\n", - "\n", - "ax.xaxis.set_major_formatter(FuncFormatter(lambda x, y: '{:d}k'.format(int(x/1000))))\n", - "\n", - "ax.legend().set_visible(False)" + "res2" ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 62, "metadata": {}, "outputs": [ { "data": { - "image/png": "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", "text/plain": [ - "
" + "0.3553500340714011" ] }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" + "execution_count": 62, + "metadata": {}, + "output_type": "execute_result" } ], "source": [ - "from matplotlib.ticker import FuncFormatter\n", - "\n", - "fig, ax = plt.subplots()\n", - "df1.plot(kind='barh', y='Berri1', ax=ax)\n", - "ax.set_xlabel('Numero de ciclistas')\n", - "ax.set_ylabel('Mes')\n", - "ax.xaxis.set_major_formatter(FuncFormatter(lambda x, y: '{:d}k'.format(int(x/1000))))\n", - "ax.set_yticklabels(['Ene','Feb','Mar','Abr','May','Jun','Jul','Ago','Sep','Oct','Nov','Dic'])\n", - "ax.legend().set_visible(False)" + "(res2[\"Status_PASS\"] * res2[\"lines of code\"]).sum() / res2[\"lines of code\"].sum()" ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 63, "metadata": {}, "outputs": [ { "data": { - "image/png": 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", "text/plain": [ - "
" + "0.9982593446280597" ] }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" + "execution_count": 63, + "metadata": {}, + "output_type": "execute_result" } ], "source": [ - "from matplotlib.ticker import FuncFormatter\n", - "\n", - "fig, ax = plt.subplots()\n", - "df1.plot(kind='barh', y='Berri1', ax=ax)\n", - "ax.set_xlabel('Numero de ciclistas')\n", - "ax.set_ylabel('Mes')\n", - "ax.xaxis.set_major_formatter(FuncFormatter(lambda x, y: '{:d}k'.format(int(x/1000))))\n", - "ax.set_yticklabels(['Ene','Feb','Mar','Abr','May','Jun','Jul','Ago','Sep','Oct','Nov','Dic'])\n", - "for x in (20000, 100000):\n", - " ax.axvline(x=x, color='r', linestyle='--', linewidth=1)\n", - "ax.legend().set_visible(False)" + "res3 = res2.dropna()\n", + "(res3[\"Status_PASS\"] * res3[\"lines of code\"]).sum() / res3[\"lines of code\"].sum()" ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 68, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "array([[,\n", - " ]],\n", - " dtype=object)" + "origin\n", + "generated 0.610812\n", + "manual 0.389188\n", + "Name: lines of code, dtype: float64" ] }, - "execution_count": 82, + "execution_count": 68, "metadata": {}, "output_type": "execute_result" - }, - { - "data": { - "image/png": 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", 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" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" } ], "source": [ - "# solo con Pandas\n", - "df1[['Berri1', 'University']].plot(kind='barh', \n", - " sharey=True, \n", - " subplots=True, \n", - " legend=False, \n", - " layout=(1,2),\n", - " figsize=(15, 5))" + "df1.groupby(\"origin\")[\"lines of code\"].sum() / df1[\"lines of code\"].sum()" ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 76, + "metadata": {}, + "outputs": [], + "source": [ + "res4 = res1.reset_index()" + ] + }, + { + "cell_type": "code", + "execution_count": 77, "metadata": {}, "outputs": [ { "data": { - "image/png": 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0BSW01PwmDrv.c
1BSW01PwmDrv_FtmConfiguration.c
2BSW01PwmDrv_WaveformParameters.c
3BSW02LIN_Drv.c
4BSW03ButtonManager.c
5BSW04NvM_Manager.c
6BSW07VariantsManager.c
7BSW08IoHwAb.c
8BSW09ECUManager.c
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" + " 0 1\n", + "0 BSW01 PwmDrv.c\n", + "1 BSW01 PwmDrv_FtmConfiguration.c\n", + "2 BSW01 PwmDrv_WaveformParameters.c\n", + "3 BSW02 LIN_Drv.c\n", + "4 BSW03 ButtonManager.c\n", + "5 BSW04 NvM_Manager.c\n", + "6 BSW07 VariantsManager.c\n", + "7 BSW08 IoHwAb.c\n", + "8 BSW09 ECUManager.c\n", + "9 SWDIAG03 DiagnosticMonitoring.c" ] }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" + "execution_count": 77, + "metadata": {}, + "output_type": "execute_result" } ], "source": [ - "# Pandas + retocar en Matplotlib\n", - "fig, axes = plt.subplots(1, 2, figsize=(15, 5), sharey=True)\n", - "df1[['Berri1', 'University']].plot(kind='barh', \n", - " subplots=True, \n", - " legend=False, \n", - " ax=axes)\n", - "for ax in axes:\n", - " ax.set_xlabel('Numero de ciclistas')\n", - " ax.set_ylabel('Mes')\n", - " ax.xaxis.set_major_formatter(FuncFormatter(lambda x, y: '{:d}k'.format(int(x/1000))))\n", - " ax.set_yticklabels(['Ene','Feb','Mar','Abr','May','Jun','Jul','Ago','Sep','Oct','Nov','Dic'])\n", - " for x in (20000, 100000):\n", - " ax.axvline(x=x, color='r', linestyle='--', linewidth=1)" + "res4[\"filename\"].str.split(\"_\", n=1, expand=True)" ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 78, "metadata": {}, "outputs": [], "source": [ - "df.to_csv(\"numeros.csv\")" + "res4[[\"prefix\", \"file\"]] = res4[\"filename\"].str.split(\"_\", n=1, expand=True)" ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 79, "metadata": {}, "outputs": [ { @@ -10870,84 +20716,226 @@ " \n", " \n", " \n", - " A\n", - " B\n", - " C\n", - " D\n", - " F\n", + " filename\n", + " Status_PASS\n", + " prefix\n", + " file\n", " \n", " \n", " \n", " \n", - " 2017-01-01\n", - " -0.637673\n", - " -0.127584\n", - " -1.144486\n", - " -0.854452\n", - " NaN\n", + " 0\n", + " BSW01_PwmDrv.c\n", + " 1.000000\n", + " BSW01\n", + " PwmDrv.c\n", " \n", " \n", - " 2017-01-02\n", - " -0.513089\n", - " -0.109069\n", - " 1.542913\n", - " -0.825571\n", - " 1.0\n", + " 1\n", + " BSW01_PwmDrv_FtmConfiguration.c\n", + " 1.000000\n", + " BSW01\n", + " PwmDrv_FtmConfiguration.c\n", " \n", " \n", - " 2017-01-03\n", - " 0.607591\n", - " -0.199361\n", - " -0.328072\n", - " -0.561886\n", - " 2.0\n", + " 2\n", + " BSW01_PwmDrv_WaveformParameters.c\n", + " 1.000000\n", + " BSW01\n", + " PwmDrv_WaveformParameters.c\n", " \n", " \n", - " 2017-01-04\n", - " 0.744946\n", - " 0.104076\n", - " 0.114213\n", - " 0.499643\n", - " 3.0\n", + " 3\n", + " BSW02_LIN_Drv.c\n", + " 1.000000\n", + " BSW02\n", + " LIN_Drv.c\n", " \n", " \n", - " 2017-01-05\n", - " -1.279198\n", - " -0.438748\n", - " 1.746576\n", - " -0.132656\n", - " 4.0\n", + " 4\n", + " BSW03_ButtonManager.c\n", + " 1.000000\n", + " BSW03\n", + " ButtonManager.c\n", " \n", " \n", - " 2017-01-06\n", - " 2.127270\n", - " -0.098197\n", - " -1.499132\n", - " -1.884918\n", - " 5.0\n", + " 5\n", + " BSW04_NvM_Manager.c\n", + " 1.000000\n", + " BSW04\n", + " NvM_Manager.c\n", + " \n", + " \n", + " 6\n", + " BSW07_VariantsManager.c\n", + " 1.000000\n", + " BSW07\n", + " VariantsManager.c\n", + " \n", + " \n", + " 7\n", + " BSW08_IoHwAb.c\n", + " 1.000000\n", + " BSW08\n", + " IoHwAb.c\n", + " \n", + " \n", + " 8\n", + " BSW09_ECUManager.c\n", + " 1.000000\n", + " BSW09\n", + " ECUManager.c\n", + " \n", + " \n", + " 9\n", + " SWDIAG03_DiagnosticMonitoring.c\n", + " 0.993007\n", + " SWDIAG03\n", + " DiagnosticMonitoring.c\n", " \n", " \n", "\n", "" ], "text/plain": [ - " A B C D F\n", - "2017-01-01 -0.637673 -0.127584 -1.144486 -0.854452 NaN\n", - "2017-01-02 -0.513089 -0.109069 1.542913 -0.825571 1.0\n", - "2017-01-03 0.607591 -0.199361 -0.328072 -0.561886 2.0\n", - "2017-01-04 0.744946 0.104076 0.114213 0.499643 3.0\n", - "2017-01-05 -1.279198 -0.438748 1.746576 -0.132656 4.0\n", - "2017-01-06 2.127270 -0.098197 -1.499132 -1.884918 5.0" + " filename Status_PASS prefix \\\n", + "0 BSW01_PwmDrv.c 1.000000 BSW01 \n", + "1 BSW01_PwmDrv_FtmConfiguration.c 1.000000 BSW01 \n", + "2 BSW01_PwmDrv_WaveformParameters.c 1.000000 BSW01 \n", + "3 BSW02_LIN_Drv.c 1.000000 BSW02 \n", + "4 BSW03_ButtonManager.c 1.000000 BSW03 \n", + "5 BSW04_NvM_Manager.c 1.000000 BSW04 \n", + "6 BSW07_VariantsManager.c 1.000000 BSW07 \n", + "7 BSW08_IoHwAb.c 1.000000 BSW08 \n", + "8 BSW09_ECUManager.c 1.000000 BSW09 \n", + "9 SWDIAG03_DiagnosticMonitoring.c 0.993007 SWDIAG03 \n", + "\n", + " file \n", + "0 PwmDrv.c \n", + "1 PwmDrv_FtmConfiguration.c \n", + "2 PwmDrv_WaveformParameters.c \n", + "3 LIN_Drv.c \n", + "4 ButtonManager.c \n", + "5 NvM_Manager.c \n", + "6 VariantsManager.c \n", + "7 IoHwAb.c \n", + "8 ECUManager.c \n", + "9 DiagnosticMonitoring.c " ] }, - "execution_count": 85, + "execution_count": 79, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "df" + "res4" + ] + }, + { + "cell_type": "code", + "execution_count": 81, + "metadata": {}, + "outputs": [], + "source": [ + "res5 = df1.merge(res4, how=\"inner\")" + ] + }, + { + "cell_type": "code", + "execution_count": 82, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "prefix\n", + "BSW01 1.000000\n", + "BSW02 1.000000\n", + "BSW03 1.000000\n", + "BSW04 1.000000\n", + "BSW07 1.000000\n", + "BSW08 1.000000\n", + "BSW09 1.000000\n", + "SWDIAG03 0.993007\n", + "Name: Status_PASS, dtype: float64" + ] + }, + "execution_count": 82, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "res5.groupby(\"prefix\")[\"Status_PASS\"].mean()" + ] + }, + { + "cell_type": "code", + "execution_count": 267, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 267, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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//yE7O5sxY8awd+9eEhIS+Oqrr4iPl6nyhVCLqdoBhBCiRk5HwPppkG2cEwuE2pxjHZ5qxxBVEJ+aw/2f7eSR/q15eVgHrM1r/0/spk2b8PQs+3mws7OjQ4cOfP/994SEhJCens7KlSv57LPPSE9Px9XVlYCAALZv346Li4v+HAEBAVhYWKDT6ejVq5d+e79+/SguLtZPs32tGTNmkJeXx+TJk8nKyiIoKIhNmzZhaWkJwNatWzl58iQnT56kZcuWBsdWp7vaoEGDDL42MTGp8qxqL774Ip999pl+baOqKp8Nz9ramtatWxMaGsrSpUvx8/Or0vGDBw/G2dmZ+Ph4HnroIf32K1euGBQ5Li4u/PHHH7z00ksEBwdjYmJC9+7d9Ws1CSHqn6JrSCvFCSFEVRXnw9bXYfdSjKEb3PVcaDGMAaceUTuGqCZfVxsWje1BlxYOakcRQghxHVIICSEanwv74ecn4fIJtZPUuRK7lvilLVA7hrgF5iYaXrijHZMH+RrMPiaEEKJhkDFCQojGo7QEIubDitubRBEEYJpznnY2lQ+EFw1bUamWd34/ziMrdnMpu3rdtYzNsGHD9Osf/fsxb968OrnmlClTrnvNKVOm1Mk1hRCNi7QICSEah8sn4efJcGHfzfc1Movd3uL9c1UbryAaJmcbc969rxu3d3K/+c5G6MKFC9ed2c7Z2RlnZ+dav+alS5fIzs6u9Dl7e3vc3Nxq/ZpCiMZFCiEhRMO3exlsnQ3FV9VOoop9XhO5L+EOtWOIWvBI/9a8NqIT5qbSIUMIIdQmv4mFEA1XaXHZjHD/e7HJFkEAfkXH1Y4gaslXu84y+vNoUq407a5yQgjREEghJIRomK5mwOq7IXat2klUZ595GBOl/hfrFHUjNimLEZ/8xa7T6WpHEUKIJk0KISFEw3P5JCy/Dc7+pXaSBkEpyuMO1wy1Y4hadDm3kIeXx7A6+ozaUYQQosmSQkgI0bCcjiwrgjJOq52kQbndPkntCKKWlWh1zP7lKK/+fJjiUmnxE0KI+iaFkBCi4dj3Jay5Dwqy1E7S4HRXTqodQdSRr2PO8fDyGDLzitSOIoQQTYoUQkII9Wm1sPn/4NdnQFusdpoGqUXeUbUjiDoUk5jB/Ut2ciFL1owSQoj6IoWQEEJdRXnw7cMQvVjtJA2aeWYCnpbSYmDMTqXlce+nURxPqXztGyGEELVLCiEhhHqyL8LKoRC/Ue0kDZ6CjrtcU9SOIepYanYho5dEEyMzygkhRJ2TQkgIoY6LB2DZYEg5pHaSRmOgVaLaEUQ9yC4oYfzK3Ww6kqx2FCGEMGpSCAkh6t/ZaPjiTsiRN3rV0aEkXu0Iop4UlmiZtnY/a3adVTuKEEIYLSmEhBD1K2kPrH0AivPUTtLoOGcdVjuCqEdaHcxaf4T/hsuMgUIIURekEBJC1J+LB8qmxy7KUTtJo6TJT6e/4xW1Y4h69t7meD6LOKV2DCGEMDpSCAkh6kfKEfjqHiiUN/I1MdzpvNoRhAre3XSczyOlGBJCiNokhZAQou5dOg6rR0F+ptpJGr3epqfVjiBU8s7vx1n2p3z/hRCitkghJISoW5dPwuq74OpltZMYhdb5x9SOIFT09v/iWPGXzB4ohBC1QQohIUTdyUiEL0dCbqraSYyGdcYx7ExL1I4hVDTnt2N8ESXFkBBC1JQUQkKIupGVBF/eBTkX1U5iVBRtMXc2S1M7hlDZm78e47u9SWrHEEKIRk0KISFE7cu+WNYSdOWc2kmMUqiNrC0j4NWfDhMRf0ntGEII0WhJISSEqF05qWUtQZnSdaeudNGdUDuCaABKtDqeWrufw+dlJkYhhLgVUggJIWpPQTZ8dTekJ6idxKi5Zx9RO4JoIPKKSnl01R6SMq6qHUUIIRodKYSEELVDp4Ofn4RLMqtZXTPNOU8HW3njK8pczi1kwsrdZOYVqR1FCCEaFSmEhBC1I/JdiP+f2imajJEuF9SOIBqQ05fzeHz1XgqKS9WOIoQQjYYUQg1YREQEiqKQlZWldpRaoSgK69evVzvGddX16z1x4kTuvvvuOjm36uJ/h4j5aqdoUgLMZWFNYWjf2Uxe+O6g2jGEEKLRqHYhlJaWxtSpU2nVqhUWFhZ4eHgwZMgQoqKiGDNmDEOHDjXYf9OmTSiKwhtvvGGw/Y033qBVq1YAnDlzBkVR9A87Ozs6d+7MU089RUKC4ViDVatW4ejoWCFXfn4+zs7OuLq6UlhYWGn2H3/8kcGDB+Pk5ISVlRXt27dn0qRJHDhwwGC/iIgIevbsiYWFBX5+fqxatcrg+c8++4xu3bphb2+Pvb09AQEB/P7771V49cp4e3vr79XKygpvb29Gjx7NH3/8YbBfYGAgycnJODg4VPncDcEbb7xB9+7dK2xPTk5m2LBhVTrHqlWrUBSFjh07Vnju+++/R1EUvL29a5jU0L9f7+v9rN2qhQsXVvhZMgqXT8JPTwI6tZM0KW2K4tWOIBqgjYeTWRJ5Su0YQgjRKFS7ELrvvvs4cOAAX375JSdOnGDDhg2EhISQnp5OaGgoUVFRlJT8s9hfeHg4Xl5eREREGJwnPDyc0NBQg23btm0jOTmZgwcPMm/ePOLi4vD392f79u03zfXjjz/SuXNnOnToUGmrw8svv8yDDz5I9+7d2bBhA/Hx8Xz99df4+vryyiuv6PdLTEzkzjvvJDQ0lNjYWKZPn87jjz/O5s2b9fu0bNmS+fPns2/fPvbu3cvgwYMZNWoUR48ereKrCG+99RbJycnEx8ezevVqHB0dCQsL4+2339bvY25ujoeHB4qiVPm8DZmHhwcWFhZV3t/GxoZLly4RHR1tsH3FihX6Iro21dXrXVpailarxcHBoVYLqwahMAfWPQSFMmtVfbPPPIyZRopPUdF7m+P5K+Gy2jGEEKLBq1YhlJWVxY4dO3j33XcJDQ2ldevW9O3bl1deeYW77rqL0NBQcnNz2bt3r/6YiIgIZs6cSUxMDAUFBQAUFBQQExNToRBycXHBw8MDX19fRo0axbZt2+jXrx+PPfYYpaU37ve8YsUKHn74YR5++GFWrFhh8NyuXbtYsGABH374IR9++CEDBw6kVatW9OrVi1mzZhm05ixZsgQfHx8++OADOnbsyH/+8x/uv/9+PvroI/0+I0eOZPjw4bRt25Z27drx9ttvY2try65du6r8WtrZ2eHh4UGrVq0YNGgQS5cu5bXXXmP27NnEx8frX7tru2qlp6czduxYWrRogbW1NV27duWbb74xOG9OTg7jxo3DxsYGT09PPvroI0JCQpg+fbp+H29vb+bNm8ekSZOws7OjVatWLF261OA8hw8fZvDgwVhZWeHi4sLkyZPJzc3VPx8REUHfvn2xsbHB0dGRAQMGcPbsWVatWsWbb77JwYMH9a1e5a0g/+4ad/78ecaOHYuzszM2Njb07t2bmJgY/fOmpqY89NBDrFy50uCYiIgIHnrooQqv6WeffUabNm0wNzenffv2fPXVVwbPK4rC8uXLueeee7C2tqZt27Zs2LDB4J7KX++IiAgeffRRrly5or+P8lbNzMxMxo8fj5OTE9bW1gwbNsyg5bK8JWnDhg106tQJCwsLzp07V6FrXEhICM888wwzZszA2dkZDw+PCi2nx48fJygoCEtLSzp16sS2bdtu2sVQq9WyYMEC/Pz8sLCwoFWrVgYFdq3R6eDnKXBZWibUoBTlEeaSrnYM0QCVanU8/c1+zmfKhBpCCHEj1SqEbG1tsbW1Zf369ZV2P2vXrh3NmzcnPDwcKHtTvn//fh544AG8vb31n+zv3LmTwsLCCoVQhXAaDc8++yxnz55l3759193v1KlTREdHM3r0aEaPHs2OHTs4e/afBQe/+eYbbG1tmTZtWqXHX9sCEB0dTVhYmMHzQ4YMqdAqUa60tJR169aRl5dHQEDADe/nZp599ll0Oh2//PJLpc8XFBTQq1cvNm7cyJEjR5g8eTKPPPIIu3fv1u/z/PPPExUVxYYNG9i6dSs7duxg//79Fc71wQcf0Lt3bw4cOMC0adOYOnWqvgDLy8tjyJAhODk5sWfPHr7//nu2bdvGf/7zHwBKSkq4++67CQ4O5tChQ0RHRzN58mQUReHBBx/khRdeoHPnziQnJ5OcnMyDDz5Y4fq5ubkEBwdz4cIFNmzYwMGDB5kxYwZardZgv0mTJvHdd99x9WrZH/RVq1YxdOhQ3N3dDfb7+eefefbZZ3nhhRc4cuQITz75JI8++qj+Z7Hcm2++yejRozl06BDDhw9n3LhxZGRkVMgXGBjIxx9/jL29vf4+XnzxRaBsrM/evXvZsGED0dHR6HQ6hg8fTnFxsf74q1ev8u6777J8+XKOHj2Km5tbpd/TL7/8EhsbG2JiYliwYAFvvfUWW7duBcp+tu6++26sra2JiYlh6dKl/N///V+l57nWK6+8wvz583nttdc4duwYX3/9dYXXq1bseB+O/1b75xVVdrt9ktoRRAOVebWYKWv2yeQJQghxA9UqhExNTVm1ahVffvmlvhXg1Vdf5dChQ/p9QkND9d3gduzYQbt27WjWrBmDBg3Sb4+IiMDHx4fWrVvf9JodOnQAysYRXc/KlSsZNmwYTk5OODs7M2TIEL744gv98ydOnMDX1xdTU1P9tg8//FBf2Nna2nLlSlnXnpSUlApvGt3d3cnOziY/P1+/7fDhw9ja2mJhYcGUKVP4+eef6dSp003v50acnZ1xc3O77r22aNGCF198ke7du+Pr68vTTz/N0KFD+e6774CywvPLL7/k/fff57bbbqNLly588cUXlbamDR8+nGnTpuHn58fLL7+Mq6urvmj4+uuvKSgoYPXq1XTp0oXBgwezePFivvrqK1JTU8nOzubKlSuMGDGCNm3a0LFjRyZMmECrVq2wsrLC1tYWU1NTPDw88PDwwMrKqsL1v/76a9LS0li/fj1BQUH4+fkxevToCsVkjx498PX15YcffkCn07Fq1SomTZpU4Xzvv/8+EydOZNq0abRr147nn3+ee++9l/fff99gv4kTJzJ27Fj8/PyYN28eubm5BoVkOXNzcxwcHFAURX8ftra2JCQksGHDBpYvX87AgQPx9/dn7dq1XLhwwaCVpri4mE8//ZTAwEDat2+PtbV1pd/Tbt268frrr9O2bVvGjx9P79699V1Bt27dyqlTp1i9ejX+/v4EBQXdtGUnJyeHhQsXsmDBAiZMmECbNm0ICgri8ccfv+Fx1XZiC4TPq91zimrroch6TeL6jlzI5v9+ljWnhBDiem5pjNDFixfZsGEDQ4cO1U8sUN79KSQkhKioKIqLi4mIiCAkJASA4OBgg0LoZq1B5XS6sj7w1xu3UVpaypdffsnDDz+s3/bwww+zatWqCq0L15o0aRKxsbF8/vnn5OXl6a9TVe3btyc2NpaYmBimTp3KhAkTOHas5uun6HS6G97rnDlz6Nq1K87Oztja2rJ582bOnTsHwOnTpykuLqZv3776YxwcHGjfvn2Fc3Xr1k3/7/I3+5cuXQLQj82ysbHR7zNgwAC0Wi3x8fE4OzszceJEhgwZwsiRI1m4cCHJycnVus/Y2Fh69OiBs7PzTfedNGkSX3zxBZGRkeTl5TF8+PAK+8TFxTFgwACDbQMGDCAuLu66921jY4O9vb3+vqsiLi4OU1NT+vXrp9/m4uJC+/btDa5lbm5ucK3r+fc+np6e+jzx8fF4eXnh4eGhf/7a7+318hUWFnLbbbdV6X5uSfop+Olx0F3//y9RP5rnVX1comiaftx/nq+iz6gdQwghGqRbmj7b0tKS22+/nddee42dO3cyceJEXn/9daCsRSgvL489e/YQHh5OcHAwUFYIxcTEkJGRQUxMDIMHD67StcrfXPr4+FT6/ObNm7lw4QIPPvggpqammJqaMmbMGM6ePav/ZL1t27b6IqGco6Mjfn5+tGjRwuB8Hh4epKamGmxLTU3F3t7eoGXD3NwcPz8/evXqxTvvvIO/vz8LFy6s0j1dT3p6Omlpade91/fee4+FCxfy8ssvEx4eTmxsLEOGDKGoqPqL6JmZmRl8rSjKDQvHf/viiy+Ijo4mMDCQb7/9lnbt2lVrjFRlrUTXM27cOHbt2sUbb7zBI488YtCyV101ve+qsrKyqtKkC7Wdpzqv6y0pzIV146BAJkdoCMwzT+JpKYtoihubuzGO+JQctWMIIUSDUyvrCHXq1Im8vDwA2rRpg5eXFxs2bCA2NlZfCLVo0YIWLVrwwQcfUFRUVKUWIa1Wy6JFi/Dx8aFHjx6V7rNixQrGjBlDbGyswWPMmDH6SRPGjh1Lbm4un3766U2vGRAQUGGWuq1bt950/I9Wq73utN1VtXDhQjQazXXXmomKimLUqFE8/PDD+Pv74+vry4kTJ/TP+/r6YmZmxp49e/Tbrly5YrBPVXTs2JGDBw/qv6fl19ZoNAatSz169OCVV15h586ddOnSha+//hooKxJvNrlFt27diI2NrXR8zr85Oztz1113ERkZWWm3uPLMUVFRBtuioqJq1F2xsvvo2LEjJSUlBpM6pKenEx8fX+Oukf/Wvn17kpKSDArza7+3lWnbti1WVlZVmmnxlvzyFKTF3Xw/US8UdIxyrV5rrGh6Cku0PLvuAIUlMl5ICCGuVa1CKD09ncGDB7NmzRoOHTpEYmIi33//PQsWLGDUqFH6/UJDQ/n000/x8/MzGG8THBzMJ598op9UobLzp6SkcPr0aTZs2EBYWBi7d+9mxYoVmJiYVNg/LS2NX3/9lQkTJtClSxeDx/jx41m/fj0ZGRkEBATwwgsv8MILL/D888/z119/cfbsWXbt2sWKFStQFAWNpuylmDJlCqdPn2bGjBkcP36cTz/9lO+++47nnntOf91XXnmFP//8kzNnznD48GFeeeUVIiIiGDduXJVfy5ycHFJSUkhKSuLPP/9k8uTJzJ07l7fffhs/P79Kj2nbti1bt25l586dxMXF8eSTTxq8Sbazs2PChAm89NJLhIeHc/ToUR577DE0Gk21poQeN24clpaWTJgwgSNHjhAeHs7TTz/NI488gru7O4mJibzyyitER0dz9uxZtmzZQkJCgn7NH29vbxITE4mNjeXy5cuVFohjx47Fw8ODu+++m6ioKE6fPs2PP/543UkpVq1axeXLl/Vjxv7tpZdeYtWqVXz22WckJCTw4Ycf8tNPP+knOLgV3t7e5Obmsn37di5fvszVq1dp27Yto0aN4oknnuCvv/7i4MGDPPzww7Ro0cLg/4HacPvtt9OmTRsmTJjAoUOHiIqKYtasWYBhV9HbbruNxYsXA2WttS+//DIzZsxg9erVnDp1Sv9zXmMH1sCx9TU/j6hVA63OqB1BNALHU3J4b5PM8CiEENeq9qxx/fr146OPPmLQoEF06dKF1157jSeeeEL/RgzKCqGcnBz9+KBywcHB5OTkXLc1KCwsDE9PT7p27crMmTPp2LEjhw4duu7+q1evxsbGptLxELfddhtWVlasWbMGKBtM//XXX3PgwAFGjBhB27ZteeCBB9BqtURHR2Nvbw+UdcHbuHEjW7duxd/fnw8++IDly5czZMgQ/bkvXbrE+PHjad++Pbfddht79uxh8+bN3H777VV+LWfPno2npyd+fn488sgjXLlyhe3bt/Pyyy9f95hZs2bRs2dPhgwZQkhIiL6QuNaHH35IQEAAI0aMICwsjAEDBtCxY0csLS2rnM3a2prNmzeTkZFBnz59uP/++w3ebFtbW3P8+HHuu+8+2rVrx+TJk3nqqad48skngbJxZEOHDiU0NJRmzZpVmOIbylpbtmzZgpubG8OHD6dr167Mnz+/0oIX0E/jfT133303Cxcu5P3336dz5858/vnnfPHFFxV+BqsjMDCQKVOm8OCDD9KsWTMWLFgAlHUL7NWrFyNGjCAgIACdTsf//ve/Ct3casrExIT169eTm5tLnz59ePzxx/Wzxl37/Tx16hSXL/+zZshrr73GCy+8wOzZs+nYsSMPPvhgtcZBVerKBdj0as3OIepE+1J5cyuqZkVUIjtPyvpCQghRTtFVd5YA0ajk5eXpuyQ+9thjascRNRQVFUVQUBAnT56kTZs29XfhNffByW31dz1RZVorF3wzP1E7hmgkPB0s2fTsIBysa/eDGyGEaIxqZYyQaDgOHDjAN998w6lTp9i/f7++u15td9sS9ePnn39m69atnDlzhm3btjF58mQGDBhQv0XQvi+lCGrANPnpBDrJ5BWiapKvFPDq+sNqxxBCiAZBCqFatnbtWoP1ia59dO7cuV4yvP/++/j7+xMWFkZeXh47duzA1dW1Xq4taldOTg5PPfUUHTp0YOLEifTp0+e6C+7Wiawk2DKr/q4nbskwR1lYVVTdxkPJrD9wQe0YQgihOukaV8tycnIqTL9dzszMrEqLyArRYKy+G06Hq51C3ESc1xiGJdyldgzRiLjYmLP9hWAcrc3VjiKEEKq59QVZRKXs7Oyws7NTO4YQNXdgrRRBjUTr/GOAFEKi6tLzinjnf8d59/6bL/wshBDGSrrGCSEqykuXLnGNiFVGHHamJWrHEI3Md/uS2J1487XchBDCWEkhJISoaMssyJc3SI2Foi1mZLM0tWOIRkang1d/PkxRiVbtKEIIoQophIQQhhJ3wMGv1U4hqinE5qzaEUQjdPJSLp9HnlI7hhBCqEIKISHEP0oK4bfn1E4hbkEX3Qm1I4hGanH4Sc5czlM7hhBC1DsphIQQ/9jxIaQnqJ1C3AK3bFkbRtyawhItr/1yRO0YQghR76QQEkKUyb4IUR+rnULcItOcC3S0vap2DNFI7Ui4TOQJGWcmhGhapBASQpT58z0oKVA7haiBkS6ySKa4de/8Lw6tVpYWFEI0HVIICSEg8yzs/0rtFKKG+psnqh1BNGLHU3L4cf95tWMIIUS9kUJICAGR74K2WO0UoobaFMWpHUE0ch9uPUFBcanaMYQQol5IISREU3f5JBxcp3YKUQvsM45gppGuTeLWJV8pYMVf0rIohGgapBASoqmLmAc6+QTYGCjFedzukq52DNHILYk4RUZekdoxhBCizkkhJERTlnoUjvykdgpRi263P6d2BNHI5RSWsGi7TKMvhDB+UggJ0ZSFzwOkK5Ux6a6cVDuCMAJf7z5HarbMIimEMG5SCAnRVF08AMd/UzuFqGUtcmVhTFFzRSValkSeUjuGEELUKSmEhGiq/pirdgJRB8yyTtHCslDtGMIIfLP7HGk58rMkhDBeUggJ0RSd2wUnt6mdQtQBBR13NUtWO4YwAgXFWpb/dVrtGEIIUWekEBKiKZLWIKM20PKM2hGEkVi76xxX8mWNMSGEcZJCSIim5nQknNmhdgpRh9qXxKsdQRiJ3MIS1uw6q3YMIYSoE1IICdHURC9WO4GoY05Zh9WOIIzIF1FnKCiWtcaEEMZHCiEhmpIr52VsUBOgyc9ggFOW2jGEkbicW8j6AxfUjiGEELVOCiEhmpL9q0GnVTuFqAfDnOSNq6g9a2Kke5wQwvhIISREU6EthQNr1E4h6klvE1lYVdSeIxeyiU3KUjuGEELUKimEhGgqErZCtrQSNBWt8o+pHUEYGZk0QQhhbKQQEqKp2LdK7QSiHlllHMfOtETtGMKI/HboIllXi9SOIYQQtUYKISGaguyLkLBF7RSiHinaYkY2u6R2DGFECoq1/LDvvNoxhBCi1kghJERTcGAN6GT626Ym1Ea6MonatTbmHDqdTu0YQghRK6QQEsLYabWw/yu1UwgVdNGdUDuCMDKJl/OIOpmudgwhhKgVUggJYexO/QFXzqmdQqigWfYRtSMII/TTfukeJ4QwDlIICWHs9n2hdgKhEtOcC3S2y1M7hjAyW46lUlAsXW2FEI2fFEJCGLOcVDixSe0UQkUjnWXKdFG7cgtL+OO4TMQhhGj8pBASwpjFrgGtTKHclPWzSFQ7gjBCG2Ivqh1BCCFqTAohIYxZ7DdqJxAqa1MYp3YEYYTC4y+RU1CsdgwhhKgRKYSEMFbppyA9Qe0UQmV2GUcw08h0x6J2FZZo2Xw0Ve0YQghRI1IICWGsEraqnUA0AErxVYa4yHTHovZtOCjd44QQjZsUQkIYq4QtaicQDUSYvUyfLmrfzpOXycgrUjuGEELcMimEhDBGRVfhbJTaKUQD0V2RLpKi9pVodUSekNnjhBCNlxRCQhijxD+hpEDtFKKBaJ57VO0IwkhFxKepHUEIIW6ZFELCaBUVFREfH09JSROcPlq6xYlrmGWdooVlodoxhBH680QaWq1MxiGEaJykEBJG5+rVqzz22GNYW1vTuXNnzp0rGx/x9NNPM3/+fJXT1ZOTMlGC+IeCjlGuyWrHEEYo82oxB89nqR1DCCFuiRRCwui88sorHDx4kIiICCwtLfXbw8LC+Pbbb1VMVk/S4iFLBscLQ0FWZ9SOIIxUuHSPE0I0UlIICaOzfv16Fi9eTFBQEIqi6Ld37tyZU6dOqZisnki3OFGJ9iXxakcQRioyXiZMEEI0TlIICaOTlpaGm5tbhe15eXkGhZHRkkJIVMIp85DaEYSROnThCum5MgZNCNH4SCEkjE7v3r3ZuHGj/uvy4mf58uUEBASoFat+FObAuV1qpxANkKYgk4HOWWrHEEZIp4MdCZfVjiGEENVmqnYAIWrbvHnzGDZsGMeOHaOkpISFCxdy7Ngxdu7cSWRkpNrx6tbpCCiVBQ5F5YY6nmdHhqPaMYQR2nMmg7t7tFA7hhBCVIu0CAmjExQURGxsLCUlJXTt2pUtW7bg5uZGdHQ0vXr1Ujte3UqQ2eLE9fUyaQJj5IQq9p3NVDuCEEJUm6LT6WQBACGMxaKekCFvdkXl8l260PHCq2rHEEZIo8ChN4ZgayEdTYQQjYf8xhJGITs7u8r72tvb12ESFRXmQsZptVOIBswy8zgOZiVcKZZf/aJ2aXVw4FwmA9s2UzuKEEJUmfw1FEbB0dGxyjPClZaW1nEalaQeBaSBV1yfoi1hpGsqa5JlLIeoffvOSiEkhGhcpBASRiE8PFz/7zNnzjBz5kwmTpyonyUuOjqaL7/8knfeeUetiHUvRaZHFjcXYnOWNUghJGqfjBMSQjQ2UggJoxAcHKz/91tvvcWHH37I2LFj9dvuuusuunbtytKlS5kwYYIaEeteymG1E4hGoLMuAQhUO4YwQrFJWWi1OjSaJrBemxDCKMisccLoREdH07t37wrbe/fuze7du1VIVE9Sj6idQDQCblekYBZ1I6eghJNpuWrHEEKIKpNCSBgdLy8vli1bVmH78uXL8fLyUiFRPdCWQuoxtVOIRsAk9yJd7fLUjiGM1PGUHLUjCCFElUnXOGF0PvroI+677z5+//13+vXrB8Du3btJSEjgxx9/VDldHUk/BSX5aqcQjcSdzhc4nNNO7RjCCCWkSiEkhGg8pEVIGJ3hw4eTkJDAyJEjycjIICMjg5EjR3LixAmGDx+udry6IRMliGroby7TrIu6ES8tQkKIRkRahIRRatmyJfPmzVM7Rv2R8UGiGnwL44ChascQRijhkowREkI0HlIICaOUlZXFihUriIuLA6Bz585MmjQJBwcHlZPVEZkxTlSDXeZRLDRaCrXSKUDUrrPpeRQUl2JpZqJ2FCGEuCn5KyiMzt69e2nTpg0fffSRvmvchx9+SJs2bdi/f7/a8eqGFEKiGpTiq9zhmq52DGGEtDo4JTPHCSEaCSmEhNF57rnnuOuuuzhz5gw//fQTP/30E4mJiYwYMYLp06erHa/25aZBbqraKUQjE2Z3Tu0IwkglpEohJIRoHKRrnDA6e/fuZdmyZZia/vPjbWpqyowZMypdX6jRk4kSxC3wVxKAXmrHEEbohMwcJ4RoJKRFSBgde3t7zp2r+Gl3UlISdnZ2KiSqY5cT1E4gGqHmuUfVjiCM1IUsmcpfCNE4SCEkjM6DDz7IY489xrfffktSUhJJSUmsW7eOxx9/nLFjx6odr/ZJtzhxC8yyTtPSslDtGMIIJWcVqB1BCCGqRLrGCaPz/vvvoygK48ePp6SkBAAzMzOmTp3K/PnzVU5XB/LS1E4gGiEFHaOaJfPfJG+1owgjc/GKtAgJIRoHRafT6dQOIURduHr1KqdOnQKgTZs2WFtbq5yojnz9IJzYpHYK0QhFe01mbEKI2jGEkTE30RA/dyiKoqgdRQghbkhahITRuXLlCqWlpTg7O9O1a1f99oyMDExNTbG3t1cxXR2QFiFxi9qVHAdC1I4hjExRqZa03ELc7CzVjiKEEDckY4SE0RkzZgzr1q2rsP27775jzJgxKiSqY1IIiVvklHkYRZFOAaL2yTghIURjIIWQMDoxMTGEhoZW2B4SEkJMTIwKiepY3mW1E4hGSlOQyUCnK2rHEEYo+YoUQkKIhk8KIWF0CgsL9ZMkXKu4uJj8fCMbxFuUB8VX1U4hGrGhDklqRxBGKFkmTBBCNAJSCAmj07dvX5YuXVph+5IlS+jVy8gWkMy9pHYC0cj1Mj2ldgRhhDKvFqsdQQghbkomSxBGZ+7cuYSFhXHw4EFuu+02ALZv386ePXvYsmWLyulqmXSLEzXU6uox4G61Ywgjk1MghZAQouGTFiFhdAYMGEB0dDReXl589913/Prrr/j5+XHo0CEGDhyodrzaJRMliBqyzDyOg1nFrqRC1ERugfxMCSEaPmkREkape/furF27Vu0YdU8KIVFDiraEu5ql8tXFFmpHEUYkt1AKISFEwyctQkI0ZlIIiVoQYnNW7QjCyORIi5AQohGQQkiIxkwKIVELOmtPqB1BGJkcaRESQjQCUggJ0ZhdzVA7gTACza4cVjuCMDIyWYIQojGQQkgYhUOHDqHVatWOUf90pWonEEbAJDeZrna5ascQRqQ2JkuYOHEiiqLoHy4uLgwdOpRDhw7p91m2bBn+/v7Y2tri6OhIjx49eOeddwDYtGkTiqKQkpJicF5PT0+8vb0Ntp05cwZFUdi+fTsAOp2O2bNn4+npiZWVFWFhYSQkJBgc8/bbbxMYGIi1tTWOjo7Vurfy6117b3fccQcHDhyo1nlqytvbW5/BysoKb29vRo8ezR9//FGvOYRQixRCwij06NGDy5fLppL29fUlPT1d5UT1RDFRO4EwEiNdLqodQRiRguLa+ZBm6NChJCcnk5yczPbt2zE1NWXEiBEArFy5kunTp/PMM88QGxtLVFQUM2bMIDe3rKgPCgrC1NSUiIgI/fni4uLIz88nMzOTM2fO6LeHh4djYWHBgAEDAFiwYAGLFi1iyZIlxMTEYGNjw5AhQygoKNAfU1RUxAMPPMDUqVNv+f62bdtGcnIymzdvJjc3l2HDhpGVlXXL57sVb731FsnJycTHx7N69WocHR0JCwvj7bffvu4xOp2u0oXLhWhspBASRsHR0ZHExESg7JO2JtM6pJFCSNSOfmaysKqoPVpd7ZzHwsICDw8PPDw86N69OzNnziQpKYm0tDQ2bNjA6NGjeeyxx/Dz86Nz586MHTtW/wbe1taWPn36GBRCERERBAUFMWDAgArb+/fvj6WlJTqdjo8//phZs2YxatQounXrxurVq7l48SLr16/XH/Pmm2/y3HPP0bVr11u+PxcXFzw8POjduzfvv/8+qampxMTEsHjxYrp06aLfb/369SiKwpIlS/TbwsLCmDVrFgBvvPEG3bt3Z+XKlbRq1QpbW1umTZtGaWkpCxYswMPDAzc3t0qLGzs7Ozw8PGjVqhWDBg1i6dKlvPbaa8yePZv4+Hj966MoCr///ju9evXCwsKClStXoigKx48fNzjfRx99RJs2bSq936ysLJ588knc3d2xtLSkS5cu/Pbbb7f8+glRU1IICaNw3333ERwcjI+PD4qi0Lt3b3x9fSt9GBVpERK1xLcwTu0IwohodbVUCV0jNzeXNWvW4Ofnpy8gdu3axdmz15/1MDQ0lPDwcP3X4eHhhISEEBwcbLA9IiKC0NBQABITE0lJSSEsLEz/vIODA/369SM6OrrW76uclZUVUNbSFBwczLFjx0hLK5sQJzIyEldXV33xVlxcTHR0NCEhIfrjT506xe+//86mTZv45ptvWLFiBXfeeSfnz58nMjKSd999l1mzZhETE3PTLM8++yw6nY5ffvnFYPvMmTOZP38+cXFx3H///fTu3bvCUhVr167loYceqnBOrVbLsGHDiIqKYs2aNRw7doz58+djYiJ/x4R6ZB0hYRSWLl3Kvffey8mTJ3nmmWd44oknsLOzUztW3VMUtRMII2GbcRQLjZZCrXw+JmqutJaahH777TdsbW0ByMvLw9PTk99++w2NRsPrr7/Ovffei7e3N+3atSMgIIDhw4dz//33o9GU/RyHhoYyb948kpOT8fT0JDIykpdeeomSkhI+++wzAE6fPs25c+f0hVD5mCJ3d3eDLO7u7hXGG9WWrKws5syZg62tLX379sXNzQ1nZ2ciIyO5//77iYiI4IUXXmDhwoUA7N69m+LiYgIDA/Xn0Gq1rFy5Ejs7Ozp16kRoaCjx8fH873//Q6PR0L59e959913Cw8Pp16/fDfM4Ozvj5uZm0H0QyrrR3X777fqvx40bx+LFi5kzZw4AJ06cYN++faxZs6bCObdt28bu3buJi4ujXbt2AMb34aRodKQQEkZj6NChAOzbt49nn322aRRC0jVO1MBVC1uOenTgsEMzNDnW/FdTSLZjKuY26VhYpAOpoOjQYYIWE3Ro0Cl//xcNWsUEnU7z9/MaUP7efs1+WjRQvo2/91WUsm06Dbprj0GDDuWa8//9X50CSvk+yjX7K/pjtAb/Ln+ufF9Fvw//+lp3zb5a/THX/puyf+s0Zf9WFHS68n2osK9O9+/tXHMOrtlWvt8/z5X9m3+dp2xbY2NWSx/ShIaG6guWzMxMPv30U4YNG8bu3btp3bo10dHRHDlyhD///JOdO3cyYcIEli9fzqZNm9BoNAQGBmJubk5ERAT+/v7k5+fTs2dPtFotaWlpJCYmEhERgZWVFf3796+VzNURGBiIRqMhLy8PX19fvv32W30BNmjQICIiIggLC+PYsWNMmzaNBQsWcPz4cSIjI+nTpw/W1tb6c3l7exv83XN3d8fExERfFJZvu3TpUpWy6XQ6lH99H3v37m3w9ZgxY3jxxRfZtWsX/fv3Z+3atfTs2ZMOHTpUOF9sbCwtW7bUF0FCNARSCAmj88UXX+j/ff78eQBatmypVpy6JV3jRBUVa8xI8GjHEafmHLYw50hxJqfzLqLVXcIj6yqffGPN0dAc/LO6Em99mV0Xj6IoTrRoodDMrRA7uyuYmiZTUpRISWm22rfT5JQVT6Z/F5gmlBV0pqBcW6CagFJelJZ9XVZomqBTTIB/ntNioi8uoXxfRb+vvhjV719W0P5zLaXsHOUFq0655jgFE4050LHG921jY4Ofn5/+6+XLl+Pg4MCyZcuYO3cuAF26dKFLly5MmzaNKVOmMHDgQCIjIwkNDcXa2pq+ffsSHh5ORkYGQUFBmJiYYGJiQmBgIOHh4YSHhzNgwADMzc0B8PDwACA1NRVPT0/9tVNTU+nevXuN7+la3377LZ06dcLFxaXCzHMhISEsXbqUHTt20KNHD+zt7fXFUWRkJMHBwQb7m5mZGXytKEql26oyhjY9PZ20tDR8fHwMttvY2Bh87eHhweDBg/n666/p378/X3/99XUnjyjv+idEQyKFkDA6Wq2WuXPn8sEHH+hnD7Kzs+OFF17g//7v/ww+HWv0pEVIXMdZVx8Ou3pzxMqaw9o84vMuUFiaA1fj4eo/+5nqNHzwRwtKs5LJSvdkS8Ln3NX5adqaOrO/2XmOnz3J2bPmQLO/H91wddXg6VmMo1MelhaX0OqSKCq6QNnbdVEXFEChBHT/mqmrgb7kpqZ2wH9q/byKoqDRaMjPz6/0+U6dOgFl3ejKhYaGsm7dOjIzMw3G1FxbVEyZMkW/3cfHBw8PD7Zv364vfLKzs4mJianRDHGV8fLyuu7EAsHBwUyfPp3vv/9enzskJIRt27YRFRXFCy+8UKtZrrVw4UI0Gg133333TfcdN24cM2bMYOzYsZw+fZoxY8ZUul+3bt04f/48J06ckFYh0WBIISSMzv/93/+xYsUK5s+fr58K9a+//uKNN96goKDghlOCNjrSIiSAy7ZuHPZoy2FbR44qRRy5epHsohwoPAWFNz72g6P+mO3dQ7FPFwryzLF3a87WU19wh9dEgk62ppNnc2JME7iQlvzP9S5ruXzZBLD/++GHpSW0bAmurvnY2GSiMblIUVEiWm3B9S4tjJiimN18pyooLCzUj8vJzMxk8eLF5ObmMnLkSKZOnUrz5s0ZPHgwLVu2JDk5mblz59KsWTMCAgL05wgNDWXOnDmkpKTw4osv6rcHBwfz3nvvkZOTox8fVJZdYfr06cydO5e2bdvi4+PDa6+9RvPmzQ0Kg3PnzpGRkcG5c+coLS0lNjYWAD8/P/24ppro1q0bTk5OfP311/qZ1UJCQnjxxRdRFEX/962mcnJySElJobi4mMTERNasWcPy5ct55513DFrjrufee+9l6tSpTJ06ldDQUJo3bw7AhQsXuO2221i9ejV9+/YlODiYQYMGcd999/Hhhx/i5+fH8ePHURRF37VdiPomhZAwOl9++SXLly/nrrvu0m/r1q0bLVq0YNq0aUZWCBlR65aokjwLO455duCwvStHTHUcLkgjJT8NSpPgSlK1zvVMqj+ev+4BoNSxrDuQpX0nzp35kZ3WvxBodxfOyTCMTiT5eLMr7xhXsq9Ueq6CAjh5Ek6etAKsgOYoSi88PU1wdy/C3iEbc/NUSkvPUlycVpOXQDQCGo15rZxn06ZN+u5pdnZ2dOjQQd9Ckp6ezsqVK/nss89IT0/H1dWVgIAAtm/fjouLi/4cAQEBWFhYoNPp6NWrl357v379KC4u1k+zfa0ZM2aQl5fH5MmTycrKIigoiE2bNmFpaanfZ/bs2Xz55Zf6r3v06AH8MzNdTSmKwsCBA9m4cSNBQUFA2d8ye3t72rdvX6Gb2q2aPXs2s2fPxtzcHA8PD/r378/27dsNisMbsbOzY+TIkXz33XesXLlSv724uJj4+HiuXv2nCfrHH3/kxRdfZOzYseTl5eHn58f8+fNr5T6EuBWKTlcHc1wKoSJLS0sOHTpUoek9Pj6e7t27X7dLRaO0ZRbs/ETtFKKOFGvMOOHRjiPOLThsbsqR4iwS8y6i1dV8+Pwdeb488flZdIVlTUZ5wWOIUQZiblVMbuqnaEtL6dw+mC6lAVBa9mei1FTHCZ8s9l46SmHhTZqabsDBQUPz5qU4O+dhZZ0OJFFUlITu392+RKNladmSAYGRascQQogbkhYhYXT8/f1ZvHgxixYtMti+ePFi/P39VUpVR6RrnNHQofw9rqc1R6ysOaK9Snze+bJxPXnHIe/m56gq3xInnliXoS+CAIptnOEqFOWb0cy7I6mnjnA0PhK7Hi60vtIWdGBSotAxwQlf6wEc8krm0Pnj3MpnaVeuaLlyRQFs/360xtQUWrZUaNasEFu7LExNkykuTqS0NKfW7lvUH42mdrrGCSFEXZJCSBidBQsWcOedd7Jt2zZ9P/Ho6GiSkpL43//+p3K6WiaTJTRal+3cy8b12DhwRCniaDXG9dSEpc6Uef9zRHcpwWB7saWDfhIFC5uOwBEAdh34CbuAJ3BOcdbva3FVoU9Cc9q7uLPHPpHE5OsvaFlVJSVw5oyOM2fMAbe/H/64uip4Ni/FyTEHC4s0tLqzFBUl02BnCRBA7Y0RaqymTJlS6Vo6AA8//DBLliyp50RCiMpI1zhhlC5evMh///tfjh8/DkDHjh2ZNm2afhCn0fhjLvz5ntopxE3kWdhx1GBczyVS8y+rkmXpXn8ct+6rsP3imLc5nuIIgLllCbmXPkVb+k9XtVFBz2N5ofI3t6lehewqPU5aRv3ck5W1QssWOlxc87GxzrhmYoY6rCBFtTg49KZ3r2/VjqGaS5cukZ1d+TTz9vb2uLm51XMiIURlpBASojGLWgRbX1M7hbhG2bie9hx2bs4RczOOFGfW2riemvq/pB74r9lT6XNnHvqQ0xct9F87umwn5eRB/dcajQn39Z+BJrny+9BqdJzxySUm8wh51wyOri+KosPTU4O7RzEO9lcwM0+ltPQMxcXp9Z5FQDPX2+nWTVo9hBANm0w5JURjZm9kLVyNjA6FM83a8GuHUN7pcSfj/EPo79OaMRbZvJ13nF8yD3Mq93yDKILuy2mP/7oD132+CAuDr82sDFeG12pL+XX/JyiulbcKabQKvqfsuD+vP328umFqWr89r3U6hYsXdRzYb0pEhAtbt3Tij+3DOXRwPOmXH0arvQcLi4FYWPigIF1K65qZufPNd7qBiRMnoiiK/uHi4sLQoUM5dOiQfp9ly5bh7++Pra0tjo6O9OjRg3feeQcom21OURT91NvlPD098fb2Nth25swZFEVh+/btAOh0OmbPno2npydWVlaEhYWRkGDYlXT//v3cfvvtODo64uLiwuTJk/Xr1t1M+fUqe+zatUu/X1FREQsWLMDf3x9ra2tcXV0ZMGAAX3zxBcXFxUDZdNrTp0+vcI1Vq1YZLND6xhtvXHea6vfeew9FUWplpjshGhsZIyREYyaFUL26bOfOIY+2HLFx4LBSyNG8i+QU59b5uJ6a6lLszpg159GVXH9WtsJSE6BU/3XWJXdMzMwo/fsNF0BBQS5bTq7kjlaPosuu/FxmhQr+Cc1o6zCQ/e5JHL9wstbu41ZcuaL718QM3piZlU3M4NqsADvbLEz0EzNU7Y2suDlzs5oVQgBDhw7liy++ACAlJYVZs2YxYsQIzp07x8qVK5k+fTqLFi0iODiYwsJCDh06xJEjZWPbgoKCMDU1JSIiQr/AZ1xcHPn5+Vy9epUzZ87oC6Lw8HAsLCz06/IsWLCARYsW8eWXX+rXEBoyZAjHjh3D0tKSixcvEhYWxoMPPsjixYvJzs5m+vTpTJw4kR9++KHK97dt2zY6d+5ssK182u+ioiKGDBnCwYMHmTNnDgMGDMDe3p5du3bx/vvv06NHD/1ir1Xl6elJeHg458+fp2XLlvrtK1eupFWrVtU6V0Om0+koLS2t9w9jROMkLUJCNGZSCNWZPAs7Yrx7s7zbMKb3GEpYp56EulrwbMk5ll05zK6sE2VFUAPnoLVk9nozdFmVr/9TrrBQMfi6uMgUN5+uFfbLyLxI1OX1KJY3blWxvqIh6FRr7nUaRItmntUPXoeKiyExUcee3Rb88Yc7W7d0JyL8bo7HjedK1kMo3IWlRX/MzeX/r1tlVguFkIWFBR4eHnh4eNC9e3dmzpxJUlISaWlpbNiwgdGjR/PYY4/h5+dH586dGTt2rH6duPK1gSIiIvTni4iIICgoiAEDBlTY3r9/fywtLdHpdHz88cfMmjWLUaNG0a1bN1avXs3FixdZv349AL/99htmZmb897//pX379vTp04clS5bw448/cvJk1Qt/FxcX/f2VP8zMylpcP/74Y/7880+2b9/OU089Rffu3fH19eWhhx4iJiaGtm3bVvv1dHNz44477jBY+2jnzp1cvnyZO++802DfPXv2cPvtt+Pq6oqDgwPBwcHs37/fYB9FUVi+fDn33HMP1tbWtG3blg0bNuifLy0t5bHHHsPHxwcrKyvat2/PwoULDc5RUlLCM888o29Ze/nll5kwYYLBwrVarZZ33nlHfx5/f3+DgjMiIgJFUfj999/p1asXFhYW/PXXXxXuPyoqipCQEKytrXFycmLIkCFkZmZW+3UUxkUKISEaM7vmgHLT3cSNFZuYc6RFV9Z1uYP/6zmcUV0CCGzhwuPKJRbmHGV71jHVJjeoqYVRfnDyzE33KyioOFzU1KJ9pfsmXTjKIe1fYHLznz3nZDOGJXViqGcAjvYON91fPQppaToOHTLhzz8d2Lq1Ldu33cb+feNJTXmEkuL7MDcPxdKyPYpSO4uFGrOado37t9zcXNasWYOfn5++gNi1axdnz15/xsLQ0FDCw8P1X5cvdBocHGywPSIiQr94aGJiIikpKYSFhemfd3BwoF+/fkRHRwNQWFiIubk5Gs0/b6GsrKwAKn0DfivWrl1LWFiYfpHWa5mZmd3yYqqTJk1i1apV+q9XrlzJuHHjMDc3/JnOyclhwoQJ/PXXX+zatYu2bdsyfPhwcnIMp7N/8803GT16NIcOHWL48OGMGzeOjIwMoKyAadmyJd9//z3Hjh1j9uzZvPrqq3z33Xf64999913Wrl3LF198QVRUFNnZ2fqCs9w777zD6tWrWbJkCUePHuW5557j4YcfJjLScJ2qmTNnMn/+fOLi4ujWrZvBc7Gxsdx222106tSJ6Oho/vrrL0aOHElpaSmiaZN2Q2F08vPz0el0WFtbA3D27Fl+/vlnOnXqxB133KFyulpmag42rpCXpnaSRqNsXI8vR1xbc9jSiiPaPOJzz1OkvQJ5V2p1vR61zTvZE+u/dt90P625BUUFFd8QZKS6YWpuQUlRxX5/x+L/xL6Hq36NoZtpmWjNPaa9SPC5wp5LR2q0IGt9ysvTceIEgPXfj5ZoNH3x9FRw9yjC3j4bM7MUSkrOUFKSoW7YBsTc3LXG5/jtt9+wtbUFIC8vD09PT3777Tc0Gg2vv/469957L97e3rRr146AgACGDx/O/fffry9QQkNDmTdvHsnJyXh6ehIZGclLL71ESUkJn332GQCnT5/m3Llz+kKofEyRu7u7QRZ3d3f9c4MHD+b555/nvffe49lnnyUvL4+ZM2cCkJycXOX7CwwMNCimAP04o4SEhDoZszNixAimTJnCn3/+Sa9evfjuu+/466+/WLlypcF+gwcPNvh66dKlODo6EhkZyYgRI/TbJ06cyNixYwGYN28eixYtYvfu3QwdOhQzMzPefPNN/b4+Pj5ER0fz3XffMXr0aAA++eQTXnnlFe655x6gbL2/a5e5KCwsZN68eQbLYfj6+vLXX3/x+eefExwcrN/3rbfe4vbbb6/0vhcsWEDv3r359NNP9dv+3S1RNE1SCAmjM2rUKO69916mTJlCVlYW/fr1w8zMjMuXL/Phhx8ydepUtSPWLvvmUgjdQJq9B4fc/ThSvl5P3oWyLm0FJ6FA7XR1Z2JmZ/x+qHyGuH/TuVTeBay02AQ3n25cjK/8PLsO/IRtwOO4pLhU6TomJQodEhzxsR7AIa8UDp2Pu6UFWdWm1cKFCzouXDADXP5+dMbRUaFFCy2OTrlYWaUDSRQVJqGj6X3qbGnhUeNzhIaG6guWzMxMPv30U4YNG8bu3btp3bo10dHRHDlyhD///JOdO3cyYcIEli9fzqZNm9BoNAQGBmJubk5ERAT+/v7k5+fTs2dPtFotaWlpJCYmEhERgZWVFf37969yrs6dO/Pll1/y/PPP88orr2BiYsIzzzyDu7t7hcLmRr799ls6duxY6XN19f+FmZkZDz/8MF988QWnT5+mXbt2FVpPAFJTU5k1axYRERFcunSJ0tJSrl69yrlz5wz2u/ZYGxsb7O3tuXTpkn7bf//7X1auXMm5c+fIz8+nqKhIP7bpypUrpKam0rdvX/3+JiYm9OrVC622bIKZkydPcvXq1QoFTlFRUYXWst69e1/3vmNjY3nggQdu8uqIpkgKIWF09u/fz0cffQTADz/8gLu7OwcOHODHH39k9uzZRlgItYDkgzffrwnItbTnqGd7Dtu5csSkbL2eSwWXoeQc3HiIjFEJKGjJnV+drPKbqRLn64/h0Zi1A65fUG2LXs6ooOewvFD17mJlC7J60t7Fjb32iZyuhQVZG4KsLB1ZWQpg9/fDG3NzaNFCoVmzAmztsjAxufj3xAxG1PRYCQuLmo8Ls7Gxwc/PT//18uXLcXBwYNmyZcydOxeALl260KVLF6ZNm8aUKVMYOHAgkZGRhIaGYm1tTd++fQkPDycjI4OgoCBMTEwwMTEhMDCQ8PBwwsPDGTBggL5rmIdHWQGXmpqKp+c/95CammowOcFDDz3EQw89RGpqKjY2NiiKwocffoivr2+V78/Ly8vg/q7Vrl07/Tp4N2Jvb8+VKxV/uWVlZeHgUHlX1EmTJtGvXz+OHDnCpEmTKt1nwoQJpKens3DhQlq3bo2FhQUBAQEUFRUZ7Fc+pqmcoij6ImbdunW8+OKLfPDBBwQEBGBnZ8d7771HTEzMTe+rXHkL2caNG2nRooXBcxYWhjNd3qi7YHnXRSH+TQohYXSuXr2KnZ0dAFu2bOHee+9Fo9HQv3//G/Ynb7Sa6IQJxSbmxHu057CTJ0fMTTlclMmZvIvoSIWcVLXjqcaj1JbnfyhCl1f1N9qlDtdf3DEjtRlmllYUF+Rfd59fdy664RpD12OfbsLgdD86e3nV64Ks9amoqGxihsREC8D970d33N01eHiU4OCQg4XlJbTasxQVpdzkbI2DiYktpqa3NoblRhRFQaPRkJ9f+c9ip06dgLJudOVCQ0NZt24dmZmZBl3NBg0aREREBJGRkUyZMkW/3cfHBw8PD7Zv364vfLKzs4mJian0Q7TyLnQrV67E0tLyul2zquuhhx7i1Vdf5cCBAxVaPoqLiykqKsLGxob27duzZcuWCsfv37+fdu3aVXruzp0707lzZw4dOsRDDz1U6T5RUVF8+umnDB8+HICkpCQuX67e/59RUVEEBgYybdo0/bZTp07p/+3g4IC7uzt79uxh0KBBQNkEC/v379e/9p06dcLCwoJz584ZdIOrrm7durF9+3aDrnpCgBRCwgj5+fmxfv167rnnHjZv3sxzzz0HlK30bW9vr3K6OtAECiEdCokG43pyOZF7wSjH9dSEqU7DB3+0QJd0tFrHldg6Q1Hlz2lLNLh5d+PC8et/ilu+xtDdXaeju1x83f2uxz3JgpGabn8vyHqUvKvG/g1VSE3VkZpqAjj+/WiHjU1Z1zoX13ysrTNQlPMUFZ1Fp7vON6eBsrSsnVkCCwsL9eNyMjMzWbx4Mbm5uYwcOZKpU6fSvHlzBg8eTMuWLUlOTmbu3Lk0a9ZMP5YEygqhOXPmkJKSwosvvqjfHhwczHvvvUdOTo5+fBCUFVvTp09n7ty5tG3bVj99dvPmzQ1mMlu8eDGBgYHY2tqydetWXnrpJebPn2+wds/NpKenV1jnyNHREUtLS6ZPn87GjRu57bbbmDNnDkFBQdjZ2bF3717effddVqxYQffu3Zk6dSqLFy/mmWee4fHHH8fCwoKNGzfyzTff8Ouvv1732n/88QfFxcXXzdu2bVu++uorevfuTXZ2Ni+99FK1W1Xatm3L6tWr2bx5Mz4+Pnz11Vfs2bMHHx8f/T5PP/0077zzDn5+fnTo0IFPPvmEzMxMFKVsIhY7OztefPFFnnvuObRaLUFBQVy5coWoqCjs7e2ZMGFCpddevHgxP//8s35tqFdeeYWuXbvqWw7Nzc0JDw/ngQcewNW15uPZROMlhZAwOrNnz+ahhx7iueeeY/Dgwfo/ilu2bKl0Bp5Gz77FzfdpZC45eHLYzY8jtvYc1hVy7OrFJjGup6Y+OOqP2d6qjQu6VrGV43ULIQBM2gE37s5SUJDLpoQVDG096bprDN1I+YKsXhb9iGt1mf3Jxyi5wbpHxqhsYgYFTlw7MUN/mrdQcHcrws7+yjUTMzTcaX8tamF8EJQtilrePc3Ozo4OHTrw/fffExISQnp6OitXruSzzz4jPT0dV1dXAgIC2L59u34tHoCAgAAsLCzQ6XT06tVLv71fv34UFxfrp9m+1owZM8jLy2Py5MlkZWURFBTEpk2bsLS01O+ze/duXn/9dXJzc+nQoQOff/45jzzySLXu79qZ6cp98803jBkzBgsLC7Zu3cpHH33E559/zosvvoi1tTUdO3bkmWeeoUuXLkDZxAF//vkn//d//0dYWBhFRUX616myxVPL3WzWuRUrVjB58mR69uyJl5cX8+bNMygkq+LJJ5/kwIEDPPjggyiKwtixY5k2bRq///67fp+XX36ZlJQUxo8fj4mJCZMnT2bIkCGYmPwzPf+cOXNo1qwZ77zzDqdPn8bR0ZGePXvy6quvXvfaly9fNmh9ateuHVu2bOHVV1+lb9++WFlZ0a9fP/1ED6LpUnSNcaSqEDeRkpJCcnIy/v7++sGru3fvxt7eng4dOqicrpYl/glfjlQ7xS3LtbTniGd7jti7cthEx5H8VC4VpKsdq9F5+pI/A1fsu6VjUx54g2Npza77vGKiRXt1GYVVaKlp2aITQfZ3o6tkFrrquOqg5UCz88SdT6jReYyVk5OG5s1LcHLKw9LqMpBEYWESUL3uiXWhuedoOnZ8R+0YohHSarV07NiR0aNHM2fOHLXjiCZAWoSEUfLw8CA3N5etW7cyaNAgrKys6NOnj7653ag0ohahYhNzjl8zrufIteN6spvuuJ6aCrvqw6A1R6oyi3Wlik2tb/i8rlSDa2t/LsTtvOm5zl84xkEbF7qZDoCSW/+czfqKhgFXWtHJw5Nd5ie5cOniLZ/LGGVmasnM1PDPxAw+WFgotGgBrs0KsLXJwMQ0meKiREq1V+s1m7VN1ScMEE3b2bNn2bJlC8HBwRQWFrJ48WISExOvO3ZJiNomhZAwOunp6YwePZrw8HAURSEhIQFfX18ee+wxnJyc+OCDD9SOWLsa6BghHQqJbm044tKaw5aWHNHmEp97nmIZ11OrfEucePKbTHQ1WJenSLG8+U4aP+DmhRBA3Ikd2PdwxftKuyqtMXQjTilmDKMj571bs+vqMbKym9D0f9VUWKjj9Gk4fdoC8Pz70QMPDxPc3YtwcMzBwuIS2tJzFBXX3cQMtjaVD9JvKqZMmcKaNWsqfe7hhx9myZIl9Zyo4dJoNKxatYoXX3wRnU5Hly5d2LZt23WnFReitknXOGF0xo8fz6VLl1i+fDkdO3bk4MGD+Pr6snnzZp5//nmOHq3eQPJGYUEbuKrujFupDp4ccfPjsK09R64d1yPqjKXOlFW/tUJz5ESNznNszGekpNy4S5Wi6NAVLacgN+eG+10rLOAxXFJqbyByqamu0S3I2lDZ2iq0aKHDxeUqVtbpaJQLFBadQaer/mQX/zYgcAeWlg3zA5r6cOnSJbKzsyt9zt7eHje368/SKISoX9IiJIzOli1b2Lx5My1btjTY3rZtW+OcPhvAowucjqi3y+VYOvw9rseFwxodRwv+HtdTchay6i1Gk7dwf2c0R25tXNC1Cos13GxsiU6n4NrKn/PH/qryebdFr+CuoOewqsYaQzdiLAuyNgS5uTri46FsUgZrwAsTk/40b6HBrVkB9vbZmJol/z0xQ1aVz2tqatekiyAANzc3KXaEaCSkEBJGJy8vD2vrimMeMjIyKizAZjQ8utVZIVRkYsFxz/YccfLkiJkJh4syOJuXjI4UyDaOdU8ao1eTeuC0pfozxFWmqo0rpbq2QNULIYDfdi7i3v4vYZJcewWL4YKsZzidfKbWzt2UlZZC0jktSefMAde/H11xdlZo3rwUJ6dcLC0vo9MlUVh0nsqKZxubtvWcWgghbp0UQsLoDBw4kNWrV+tnnClf6XrBggUG60UYFU//WjlN+biewy6tOWxlyZHSXE7knqdYmwW5WbVyDVFz9+a0o/u6A7VyLp2iUHC1ajO8ZaY6YmXvSH52VpXPf+0aQ1yu3emwyxZkbUMXr5bsKj3OJSNckLUhyMjQkZGhAez/fvhiYQEtWyq4uuZjY5uJiclFiorOSCEkhGhUZIyQMDpHjhzhtttuo2fPnvzxxx/cddddHD16lIyMDKKiomjTpo3aEWvf5QRY3Lvah6U4NOeIWxsO29hzhEKOXb1AbrHMYtCQdSl25/UVeegys2rlfKVObkT6v17l/Zu12EfSkchqX8fR0ZOh3pPQXambtYG0Gh1nffLYlXmkCSzI2jApCtx11xB69Ai4+c5CCNEASIuQMDpdunThxIkTLF68GDs7O3Jzc7n33nt56qmn9IvzGR0XPzC3haLrT06QbeXAEY/2HLV35bBGaziuRybiahQctJbM/sWs1oogAK1z9cZzlJS0AapfCGVlJfNX2s8EOdyNLr9mawxVRqNV8DllS8smvCCr2nQ6cHVtefMdhRCigZAWISGMxYohkLQL+Gdcz+G/x/Uc0Y/rkf/dG7NVO7pg/VdsrZ4zv9cdRNuNqvL+OnSY6r4kLyvjlq7XsV0Q3XRBNVpjqCpkQdb6pygKr776KmZmZmpHEUKIKpEWIWGUsrKy2L17N5cuXUKrNRzQO378eJVS1a1DnYaywdWFw6U5JORdkHE9RmbeyZ5Y/7W71s9bat+sWmv9KCg4t+xOXtYft3S9uBN/YdfdFZ/s9jVeY+hGyhdk7ejRnN3mCZyXBVnrXLNmzaQIEkI0KlIICaPz66+/Mm7cOHJzc7G3t0dRFP1ziqIYbSGU5N6Ob0+sVDuGqAMTMzvj90PtzBD3b8U2TlDN5Z6Ki31qdM3dseux7z8Jl9RmNTpPVTinmDKUjpz39mbX1aOyIGsdat68aU+bLYRofDRqBxCitr3wwgtMmjSJ3NxcsrKyyMzM1D8yMm6tO09j0N2tu9oRRB0IKGjJnV+dLBuAUQdKLByqfUzWJQdsnWtWxGzbtZL8FvW3KGrLM1bck9GLIK+exjuNvsqMdgymEMJoSSEkjM6FCxd45plnKl1LyJi1sG2Bm5Us4mdMPEptef6HInR5dTcLWpGZzS0d59Si5lO2/7bzE0o9lZvvWEvKFmR14sHiQLp7dUKjkT+BtcnLy0vtCEIIUS3yV0AYnSFDhrB37161Y6jC36121hMS6jPVafjgjxbokup2bEuRxurWjiuoWfc4+GeNIZrVby9t86saeid48oDVQHw9vev12sbK2tpaWoSEEI2OjBESRufOO+/kpZde4tixY3Tt2rXC4N277rpLpWR1z7+ZP1vPblU7hqgFHxz1x2xv3YwLulYR5rd03JXLdtg38yA7LaVG1y8syGPziRUM9X4c3ZXiGp2ruuzSTWVB1lri6+trMB5TCCEaA5k+WxidG3V3URSF0tLaX8OkoTiYdpCH//ew2jFEDT19yZ+BK/bVy7UOjf6cy5dubb0dt5ZHOXd4c63kaNG8AwMd762TNYaqQqfoOOObR0zWEXLrsCuisRo1ahQ9evRQO4YQQlSLdI0TRker1V73YcxFEEAXly443MLgd9Fw3JbvzaA1R+rtegU1mK+gIL91reW4cPE4scWRYKpOq4KiK1uQ9f6cfvTz8sfUVDpMVIevr6/aEYQQotqkEBLCiJhoTAhqEaR2DHGLvEscmfLNFXSF9TebWmGB9uY7XUd2ui0O7i1qLcvxhCgSbeJAxR5WpkUKXRNceVAzkI4t26oXpBFxdXXFwUE+gBFCND7ykZcwCosWLWLy5MlYWlqyaNGiG+77zDPP1FMqdYS0DGHj6Y1qxxDVZKkzZf4mZ3SpJ+rtmlpLG4oLb70QAnBw78aV1Au1lAh2x/6CXX8XXOthjaEbscrWMCC7FZ3cPYmxOCkLst5AmzZt1I4ghBC3RMYICaPg4+PD3r17cXFxwcfn+rNZKYrC6dOn6zFZ/cspymHQt4Mo0d7auA+hjs/3+eO0pX7GBZUradmWP/2m1+gcdk5XSTu9pHYCXeOuoOlYXWg46/1c8L5K9NU4srKz1I7S4Dz00EO0a9dO7RhCCFFt0iIkjEJiYmKl/26K7Mzt6OXWi5iUGLWjiCp6Jak7Tlvqf8r3EmePGp8jJ9MaJ89WZCafq4VE//g1ahH3BczAJLlhfFbX4ow195j05KTPFXanHaGwHrsvNmQmJiZ4e3urHUMIIW6JjBESwggFewWrHUFU0T057eixLlaVa5fa1U73M7tmXWvlPNfS6bRs2Luo3tcYuhGTUoX2Jx1lQdZreHl5YW5+a1OwCyGE2hrOXxghauD555+v8r4ffvhhHSZpGEJahrBgzwK1Y4ib6FzkxkNrL6IrUacbY4mtC9RCw0Zudu3NHnetoqKrbIpfzjCfJ+p9jaEbKV+Qtb2zG3sdznAq+YzakVQjs8UJIRozKYSEUThw4ECV9msqC/552Xvh6+DL6SvGPR6qMXPQWfL6BnN0meoNwi+2cqyVQujqFUucW/iQcaH2u6VeuZLKjks/qLrG0PXYZZgQmtGGzi1bsksbz6WMNLUj1TuZKEEI0ZhJISSMQnh4uNoRGpxgr2AphBqwj6P8ICFW1Qwl5ra1di5bl651UghB2RpDB6wj6G46CEoaxpiha7mdt2Ck0pVEn1x2XznaZBZkdXBwoHnz5mrHEEKIWyYdnIUwUqFeoWpHENcx71RPbHbEqh2DIhObWjtXTlZLqMMW1/iTOzltfVTVNYZuRNEp+J62a1ILsnbp0qXJtLILIYyTFEJCGCn/Zv44WTipHUP8y4TMzvh9v0ftGAAUKbU3PXV+jiWuXn61dr7K7Dn4K5fdUuv0GjV17YKsnVoa95TSXbp0UTuCEELUiBRCQhgpjaJhYMuBascQ1+hX2IIRa05CA1m+rVBrVqvns3bsXKvnq8z2Xau42qKgzq9TU1bZGgJPenGfwyC83FqoHafWubq64unpqXYMIYSoESmEhDBiI3xHqB1B/M1Na8OL35egy20440cKi2v3T0BORgsUpe7/rPwW9QmlzRtHlyynVDOGnOvAMPdAnBwc1Y5Ta6Q1SDRGKSkp3H777djY2ODo6Kh2HNEASCEkhBHr79mflrYt1Y7R5JnqNHz4R0t0SRfUjmKgIF9bq+fLz7PAtXXbWj1nZXQ6LRv2NKw1hm6mxVkr7r7ck4Ete2FpYal2nBrr2vXW146aOHEiiqLoHy4uLgwdOpRDhw7p91m2bBn+/v7Y2tri6OhIjx49eOeddwDYtGkTiqKQkpJicF5PT88Ki7ueOXMGRVHYvn07ADqdjtmzZ+Pp6YmVlRVhYWEkJCQYHPP2228TGBiItbV1td8sl1/v2nu74447qjyzaW3x9vbWZ7CyssLb25vRo0fzxx9/1Pm1PT09mT9/vsG2mTNnoigKERERBttDQkJ45JFH6jxTuY8++ojk5GRiY2M5ceJEvV233KpVq/TfF41GQ8uWLXn00Ue5dOlSvWepLSEhIUyfPl3tGLdMCiEhjJiiKNzX7j61YzR57x/zx3zPUbVjGNBpTCisg+morezrvnsc/LPGkOJQu9376lL5gqyjiwLo0YgXZPXy8sLFxaVG5xg6dCjJyckkJyezfft2TE1NGTGirAV75cqVTJ8+nWeeeYbY2FiioqKYMWMGubm5AAQFBWFqamrwpjouLo78/HwyMzM5c+aMfnt4eDgWFhYMGDAAgAULFrBo0SKWLFlCTEwMNjY2DBkyhIKCf7pbFhUV8cADDzB16tRbvr9t27aRnJzM5s2byc3NZdiwYWRlZd3y+W7FW2+9RXJyMvHx8axevRpHR0fCwsJ4++23r3uMTqejpIbrmoWEhFQoeMLDw/Hy8jLYXlBQwK5duxg8eHCNrlcdp06dolevXrRt2xY3N7dbOkdRUVGNMtjb25OcnMz58+dZtmwZv//+e42KweLihrPGWk3U9HW9VY3zt7AQosru9rsbU6XxfHJubP5zqRvNNzSMyRGupXVyr5OhSlfSm6PU0xv8sjWGvkexMqmX69UW83wNvRI8GW01iDae3mrHqbbu3bvX+BwWFhZ4eHjg4eFB9+7dmTlzJklJSaSlpbFhwwZGjx7NY489hp+fH507d2bs2LH6N/C2trb06dPH4E11REQEQUFBDBgwoML2/v37Y2lpiU6n4+OPP2bWrFmMGjWKbt26sXr1ai5evMj69ev1x7z55ps899xzNWr1cnFxwcPDg969e/P++++TmppKTEwMixcvNuhWuH79ehRFYcmSJfptYWFhzJo1C4A33niD7t27s3LlSlq1aoWtrS3Tpk2jtLSUBQsW4OHhgZubW6XFjZ2dHR4eHrRq1YpBgwaxdOlSXnvtNWbPnk18fLz+9VEUhd9//51evXphYWHBypUrURSF48ePG5zvo48+qtK6UaGhoURFRekLqpycHA4cOMDLL79s8L2Jjo6msLCQ0NBQ0tPTGTt2LC1atMDa2pquXbvyzTff6PddunQpzZs3R6s1bMUeNWoUkyZN0n/9yy+/0LNnTywtLfH19eXNN9/U5/D29ubHH39k9erVKIrCxIkTATh37hyjRo3C1tYWe3t7Ro8eTWrqP5OylH8Pli9fjo+PD5aWZS26iqLw+eefM2LECKytrenYsSPR0dGcPHmSkJAQbGxsCAwM5NSpUwaZFUXBw8OD5s2bM2zYMJ555hm2bdtGfn4+mzZtIigoCEdHR1xcXBgxYoTB8eUtjt9++y3BwcFYWlqydu3am75+UFagPv3000yfPh0nJyfc3d1ZtmwZeXl5PProo9jZ2eHn58fvv/9ucNyRI0cYNmwYtra2uLu788gjj3D58mWgrHU3MjKShQsX6lu6yj+IuNFx5Xn+85//MH36dFxdXRkyZAg6nY433niDVq1aYWFhQfPmzXnmmWeu85NW5tdff6VPnz5YWlri6urKPffcc8P9/00KISGMnKuVK8FewWrHaJJuy/cmeE3DagkqV+pSN+u/FF41p5l3hzo5d2UuXIxnf1E4mDaOMUPXsk03ITSxDXe5DsTNpZnacarEzMys1scH5ebmsmbNGvz8/PQFxK5duzh79ux1jwkNDTVYPy48PJyQkBCCg4MNtkdERBAaWraUQGJiIikpKYSFhemfd3BwoF+/fkRHR9fqPV3LysoKKPvEOzg4mGPHjpGWVrb4bmRkJK6urvoCobi4mOjoaEJCQvTHnzp1it9//51NmzbxzTffsGLFCu68807Onz9PZGQk7777LrNmzSImJuamWZ599ll0Oh2//PKLwfaZM2cyf/584uLiuP/+++nduzdr16412Gft2rU89NBDN71GaGgoubm57NlT9gHQjh07aNeuHffddx8xMTH61rfw8HC8vb3x9vamoKCAXr16sXHjRo4cOcLkyZN55JFH2L17NwAPPPAA6enpBt/bjIwMNm3axLhx4/TXGT9+PM8++yzHjh3j888/Z9WqVfoicc+ePQwdOpTRo0eTnJzMwoUL0Wq1jBo1ioyMDCIjI9m6dSunT5/mwQcfNLinkydP8uOPP/LTTz8RGxur3z5nzhzGjx9PbGwsHTp04KGHHuLJJ5/klVdeYe/eveh0Ov7zn//c8PWysrJCq9VSUlJCXl4ezz//PHv37mX79u1oNBruueeeCgXgzJkzefbZZ4mLi9O3aN7o9Sv35Zdf4urqyu7du3n66aeZOnUqDzzwAIGBgezfv5877riDRx55hKtXrwKQlZXF4MGD6dGjB3v37mXTpk2kpqYyevRoABYuXEhAQABPPPGEvoXXy8vrpsddm8fc3JyoqCiWLFnCjz/+yEcffcTnn39OQkIC69evv+EHEhs3buSee+5h+PDhHDhwgO3bt9O3b98bvt7/Jh8TC9EE3N/ufraf2652jCbFu8SRKd9cQVdYqHaUSpU63lq3kKqwtO0EHKuz8//biZPROPi74pvTCRrGhHzV4nbenJFKV8745BFz5UiDXpC1Y8eOWFjUfNr13377DVvbsgV98/Ly8PT05LfffkOj0fD6669z77334u3tTbt27QgICGD48OHcf//9+u6EoaGhzJs3j+TkZDw9PYmMjOSll16ipKSEzz77DIDTp09z7tw5fSFUPqbI3d3dIIu7u3uF8Ua1JSsrizlz5mBra0vfvn1xc3PD2dmZyMhI7r//fiIiInjhhRdYuHAhALt376a4uJjAwED9ObRaLStXrsTOzo5OnToRGhpKfHw8//vf/9BoNLRv3553332X8PBw+vXrd8M8zs7OuLm5GXQfhLJudLfffrv+63HjxrF48WLmzJkDwIkTJ9i3bx9r1qy56T23bduWFi1aEBERQUBAABEREQQHB+tbp6KjowkNDTUoUlu0aMGLL76oP8fTTz/N5s2b+e677+jbty9OTk4MGzaMr7/+mttuuw2AH374AVdXV/053nzzTWbOnMmECRMA8PX1Zc6cOcyYMYPXX3+dZs2aYWFhgZWVFR4eHgBs3bqVw4cPk5iYiJeXFwCrV6+mc+fO7Nmzhz59+gBlRezq1atp1szwA4tHH31U/+b+5ZdfJiAggNdee40hQ4YAZYXno48+et3XKiEhgSVLltC7d2/s7Oy47z7DruwrV66kWbNmHDt2zOADiOnTp3Pvvfca7Huj16+cv7+/vrXxlVdeYf78+bi6uvLEE08AMHv2bD777DMOHTpE//79Wbx4MT169GDevHkGmby8vDhx4gTt2rXD3Nwca2tr/WsKVOk4KPtZWbBggX6fjRs34uHhQVhYGGZmZrRq1eqGhc3bb7/NmDFjePPNNw3usTqkRUiIJiCweSDNbWQF+PpiqTNl/iZndKlpake5rhI71zo7d1ZaczQm9fs5256Dv5LWrGGvMXQjik7B57Rtg1+QtTa6xUFZIRMbG0tsbCy7d+9myJAhDBs2jLNnz+Lp6Ul0dDSHDx/m2WefpaSkhAkTJjB06FD9J+OBgYGYm5sTERHBsWPHyM/Pp2fPnvTu3Zu0tDQSExOJiIjAysqK/v3710rm6ggMDMTW1hYnJycOHjzIt99+i7u7O4qiMGjQICIiIsjKyuLYsWNMmzaNwsJCjh8/TmRkJH369MHa2lp/Lm9vb+zs7PRfu7u706mT4Rgzd3f3Kg+41+l0FRbC7d27t8HXY8aM4cyZM+zatQsoaw3q2bMnHTpUrbX32nFCERER+hau4OBgIiIiyM/PJyYmRl/ElJaWMmfOHLp27YqzszO2trZs3ryZc+fO6c85btw4fvzxRwr//nBp7dq1jBkzRv86HDx4kLfeegtbW1v9o7yloryF49/i4uLw8vLSF0EAnTp1wtHRkbi4OP221q1bVyiCALp166b/d3mBfW0Lhru7OwUFBWRnZ+u3XblyBVtbW6ytrWnfvj3u7u761reEhATGjh2Lr68v9vb2+sk/rn0doOL3qyqv37/zmpiY4OLiUiEvoP9ZOnjwIOHh4QavafnPwL+7/F2rqsf16tXL4LgHHniA/Px8fH19eeKJJ/j5559vOGYtNjZWXxjfqob5m1YIUas0ioZ72t7Df2P/q3aUJmHh/s5oDu9TO8YNlVg7QU7dnLuowBQ3n06knDx0851r0R8xqxgZ9CzWFxrvrGzlC7L62QdxoOVFjp2v/5mtrsfZ2RkfH59aOZeNjQ1+fv8swLt8+XIcHBxYtmwZc+fOBcqm6O7SpQvTpk1jypQpDBw4kMjISEJDQ7G2tqZv376Eh4eTkZFBUFAQJiYmmJiYEBgYSHh4OOHh4QwYMABzc3MA/SfWqampBmsgpaam1lqBV+7bb7+lU6dOuLi4VJh5LiQkhKVLl7Jjxw569OiBvb29vjiKjIwkONiwK7OZmeGEIIqiVLrt392nKpOenk5aWlqF76ONjY3B1x4eHgwePJivv/6a/v378/XXX1dr8ojQ0FCeffZZ0tPTOXDggP6egoOD+fzzzxk0aBBFRUX6iRLee+89Fi5cyMcff0zXrl2xsbFh+vTpBgPoR44ciU6nY+PGjfTp04cdO3bw0Ucf6Z/Pzc3lzTffrNBSAujH9dyqf78+5a79PpQXl5Vtu/Z7Y2dnx/79+9FoNPrZC8uNHDmS1q1bs2zZMv2YqC5dulSYSODfeary+v07W3m+G+XNzc1l5MiRvPvuuxXu/UbriFX1uH/fh5eXF/Hx8Wzbto2tW7cybdo03nvvPSIjIytkBwxeu1slLUJCNBH3+N2DidK4BpU3Rq8kdcdpS8MuggCKLezr9PzmVvU3TuhaZWsMqXLpWmWVbdLgFmQNDAys0JJQW8qnE87Pz6/0+U6dOgFl3ejKlXevurbFATAoKspbHAB8fHzw8PDQT6UNkJ2dTUxMDAEBAbV6P15eXrRp06bS6bfLxwl9//33+twhISFs27aNqKgog3upbQsXLkSj0XD33XffdN9x48bx7bffEh0dzenTpxkzZkyVrxMaGkpeXh4ffvihwQxtgwYNYvfu3fz+++/6LnQAUVFRjBo1iocffhh/f398fX0rTG9taWnJvffey9q1a/nmm29o3749PXv21D/fs2dP4uPj8fPzq/C43gyNHTt2JCkpiaSkJP22Y8eOkZWVpf+Zq20ajQY/Pz98fX0N3sinp6cTHx/PrFmzuO222+jYsSOZmZlVOmdVXr9b0bNnT44ePYq3t3eF17S8iDE3N6e0tLTax12PlZUVI0eOZNGiRUREROhbhyvTrVs3g/+fb4UUQkI0Ee427gxsMVDtGEbtnpx29FgXq3aMKik2u/Efo5rKTPPEpJJP8Opa2RpDn4CbcXR4aCgLstrY2FS77/2NFBYWkpKSQkpKCnFxcTz99NP6T5GnTp3KnDlziIqK4uzZs+zatYvx48fTrFkzg4IlNDSUhIQENm/ebNCKEhwczPr160lKSjIohBRFYfr06cydO5cNGzZw+PBhxo8fT/PmzQ0Kg3PnzhEbG8u5c+coLS3Vd+Ern767prp164aTkxNff/21QSG0fv16CgsL9VN911ROTg4pKSkkJSXx559/MnnyZObOncvbb79t0Bp3Pffeey85OTlMnTqV0NBQmjev+icMvr6+tGrVik8++cTge+Pl5UXz5s1ZunSpwfembdu2bN26lZ07dxIXF8eTTz5pMHNbuXHjxrFx40ZWrlypnySh3OzZs1m9ejVvvvkmR48eJS4ujnXr1unHxFQmLCyMrl27Mm7cOPbv38/u3bsZP348wcHBFbqf1TUnJydcXFxYunQpJ0+e5I8//uD555+v0rFVff2q66mnniIjI4OxY8eyZ88eTp06xebNm3n00Uf1xY+3tzcxMTGcOXOGy5cvo9Vqq3RcZVatWsWKFSs4cuQIp0+fZs2aNVhZWdG6dWugbFzT+PHj9fu//vrrfPPNN7z++uvExcVx+PDhSluhbkQKISGaEFlTqO50LnLjobUXoYZrcNSXQqXmXQpupLjQBDfv+llT6N+Kiq6yKW4ZimPjWWPoZsoXZB3UsrcqC7L27du30q4pt2rTpk14enri6elJv3792LNnj76FJCwsjF27dvHAAw/oZxuztLRk+/btBusXBQQEYGFhgU6nMxhr0K9fP4qLi/XTbF9rxowZPP3000yePJk+ffqQm5vLpk2bDLpOzZ49mx49evD666+Tm5tLjx499LNf1QZFURg4cCCKohAUFASUFUf29vb07t37pp+YV1X5wrF+fn488sgjXLlyhe3bt/Pyyy9X6Xg7OztGjhzJwYMHKxQdVREaGkpOTk6FFq7g4GBycnIMCqFZs2bRs2dPhgwZQkhICB4eHpW2Wg0ePBhnZ2fi4+MrzGA3ZMgQfvvtN7Zs2UKfPn3o378/H330kf5NdGUUReGXX37BycmJQYMGERYWhq+vL99++22177emNBoN69atY9++fXTp0oXnnnuO9957r0rHVvX1q67mzZsTFRVFaWkpd9xxB127dmX69Ok4OjrqW9lefPFFTExM6NSpE82aNePcuXNVOq4yjo6OLFu2jAEDBtCtWze2bdvGr7/+qv//Pjk52WDcU0hICN9//z0bNmyge/fuDB48uMJMeTej6HR1sZKEEKIhKtWWMvyn4VzMu6h2FKPioLNk2Y/NICFR7ShVdnzsp1xMrttf/81aXiTp8Lo6vcaNNPdsxyCn+9HVwcKxaiqy0nK45SUOXoir0riQmjIzM+O5554zGMAvhBDGQFqEhGhCTDQmPNb1MbVjGJ2Pd/o1qiIIoLCk7seLZaa6Y/r3QHU1XEw+wf6iP8DMuP7UlS3I6sFoq0H4Na+dyQtupGfPnlIECSGMknH9dRBC3NQ9fvfgYeNx8x1Flbx9qic2f8aqHaPaCupheaOSYhPcvK+/GF59OHFyF6csD0PjW2/1pmzTTQg57cso1yDcXepmXSiNRlPrEwk0ZlOmTDGYEvjax5QpU9SOVy/kNRDGRLrGCdEEfXv8W+bGzFU7RqM3PrMzI5YehnronlTb/rz9M0qK6z63a4sUzh/5us6vczOh/Sbgdsl4PwDQKbq/F2Q9Sm5e7Qzqh7IprO+///5aO19jd+nSJYM1Ya5lb2+vnx3NmMlrIIyJFEJCNEHFpcUM/3k4KXl1s5p6U9C3sAUvLb2MLjfv5js3MFpbByJ6z7v5jrXAxKyUoiufU1xYUC/Xu5ERA57B5mLdThKhthJzHXGt09mfcozi4uIan+/JJ5+84XohQgjRmEnXOCGaIDMTMx7v8rjaMRotN60NL/1Q0iiLIACtc/0ttFNabIKbT7eb71gPNu5cTIkRrDF0I+ULso5WBtCpZbsancvX11eKICGEUZNCSIgm6t6298pYoVtggsKHf3ihO3dB7Si3rMS5fr/viknN3pDXFp1Oy6+7FxnNGkM3Ur4g6/0OwXi539qCrIGBgbWcSgghGhYphIRooqRV6Na8f6w75nuOqB2jRkrsmtXr9TJSXTG3ahizjhUV5xvdGkM34phqypCz5QuyOlX5uObNm1dp0U0hhGjMpBASogm7t+29uFu7qx2j0XjqUjda/LJH7Rg1Vmpb9TfEtUFbqqGZt3+9XvNGrmRfIjL5WxTrup9CvKEoW5C1R5UXZL399tvrIZUQQqhLCiEhmjAzEzMe7yqtQlVxW743IWuPqR2jVhRbOtb/RTVt6/+aN5CcksD+AuNbY+hGTEoV2p10YHRRAD28Ol93hXc/Pz98fOp+fSIhhFBb0/kLIISo1H1t75NWoZvwLnFkyjfZ6ArUn/msNhSb29X7NTNSnLGwsa33697IiVO7OGl5yCjXGLqRGy3IqiiKtAYJIZoMKYSEaOLMTMx4ousTasdosCx1pszf5Iwu9ZLaUWpNkUn9TyGt02po1rp7vV/3ZvYd2silZslqx1CFfkFWl4H6BVm7deuGu7t8MCKEaBqkEBJCcF+7+2jj0EbtGA3Sx/u7oDl8Qu0YtaoIC1Wuq6Vh/oyFx6wmr3m+2jFU0+yCOSMudiHMK4DBgwerHUcIIeqNFEJCCEw1przS7xW1YzQ4r5zvgfOWvWrHqHWFpepMH52R4oyVnb0q176Z33Z+YvRrDN2IolPo2qoDDg4OakcRQoh6I4WQEAKAfp79uL21jA0od09OO3p8c0DtGHWisFilX/06BddW3dW59s3odE1mjaHKmDhYYBfcUu0YQghRr6QQEkLovdT7JaxM63/8SEPTuciNh9ZehJIStaPUiYJ8rWrXLtU2zO5xULbG0P/iljaZNYau5TDcB41505lOXAghQAohIcQ1PG09mdRlktoxVOWgs+T1DRboMrPUjlIntKbmFBaUqnb9jBRHrKuxsGd9y8lOIyJ5HYp102kZMve2x9q/fhfZFUKIhkAKISGEgUe7PEpr+9Zqx1DNxzv9ICFR7Rh1RuviATo1Eyi4eHVXM8BNpaScZF/BtqaxxpACjnc13FY6IYSoS03gt7wQojosTCx4rf9rasdQxdunemLzZ6zaMeqU1tlT7QgUF/uqHeGmEk7FkGB50OjXGLINbI5584a1vpMQQtQXKYSEaGDeeOMNunfvrmqGfp79uKvNXapmqG/jMzvT9gfjmyHu30oc3NSOQOYle2ycXNWOcVP7D/2P1GYX1Y5RZ0ybWeEw1OfmOwohhJGSQkgAMHHiRBRF0T9cXFwYOnQohw4d0u+zbNky/P39sbW1xdHRkR49evDOO+8AsGnTJhRFISUlxeC8np6eeHt7G2w7c+YMiqKwfft2AHQ6HbNnz8bT0xMrKyvCwsJISEgwOObEiROMGjUKV1dX7O3tCQoKIjw8vEr3Vn692NjYar0ed999d4XtERERKIpCVlZWlc9VmXfeeQcTExPee++9Gp2nLr3U+yWcLBruWI7a1LewBSPXnAStepMI1JcSWxe1I6Cg4NzSX+0YVRIR8xW5za+qHaP2acB5dHuUptD9TwghrkN+Awq9oUOHkpycTHJyMtu3b8fU1JQRI0YAsHLlSqZPn84zzzxDbGwsUVFRzJgxg9zcXACCgoIwNTUlIiJCf764uDjy8/PJzMzkzJkz+u3h4eFYWFgwYMAAABYsWMCiRYtYsmQJMTEx2NjYMGTIEAoKCvTHjBgxgpKSEv744w/27duHv78/I0aMqFB4NRYrV65kxowZrFy5Uu0o1+Vo6chLfV5SO0adcyu15aUfStDl5qkdpV6UWDeM4raosPG0RGzcudjo1hiyC/bC3MtO7RhCCKEqKYSEnoWFBR4eHnh4eNC9e3dmzpxJUlISaWlpbNiwgdGjR/PYY4/h5+dH586dGTt2LG+//TYAtra29OnTx6AQioiIICgoiAEDBlTY3r9/fywtLdHpdHz88cfMmjWLUaNG0a1bN1avXs3FixdZv349AJcvXyYhIYGZM2fSrVs32rZty/z587l69SpHjhy5pXuNjIykb9++WFhY4OnpycyZMymp5lTJOp2OZs2a8cMPP+i3de/eHU/Pf8Zg/PXXX1hYWHD16j+fKEdGRpKfn89bb71FdnY2O3furPT8n3/+OV5eXlhbWzN69GiuXLlywzxHjx5lxIgR2NvbY2dnx8CBAzl16lS17unfRrYZyYDmA2p0jobMBIUPI1qiO3dB7Sj1ptiiYbz5vZJmj52ru9oxqkanY8PuhUazxpCZpw32t7VSO4YQQqhOCiFRqdzcXNasWYOfnx8uLi54eHiwa9cuzp49e91jQkNDDbqrhYeHExISQnBwsMH2iIgIQkNDAUhMTCQlJYWwsDD98w4ODvTr14/o6GgAXFxcaN++PatXryYvL4+SkhI+//xz3Nzc6NWrV7Xv7cKFCwwfPpw+ffpw8OBBPvvsM1asWMHcuXOrdR5FURg0aJC+yMvMzNS3gh0/fhwoK3r69OmDtbW1/rgVK1YwduxYzMzMGDt2LCtWrKhw7pMnT/Ldd9/x66+/smnTJg4cOMC0adNueE+DBg3CwsJC32o2adKkahd3lZkbNBdnS+can6chev9Yd8x331ox3VgVm9qoHUHPybOb2hGqrLi4gP8d+xzFqZGvMWSi4PRAOxRT+fMvhBDym1Do/fbbb9ja2mJra4udnR0bNmzg22+/RaPR8Prrr+Po6Ii3tzft27dn4sSJfPfdd2ivGVMRGhrKiRMnSE5OBsqKgODgYAYNGkRkZCQAp0+f5ty5c/pCqLxrm7u74SfD7u7u+ucURWHbtm0cOHAAOzs7LC0t+fDDD9m0aRNOTtXv5vPpp5/i5eXF4sWL6dChA3fffTdvvvkmH3zwgcH9XPt6lD+GDRtmcK6QkBB9IfTnn3/So0cPg20REREEBwfr98/OzuaHH37g4YcfBuDhhx/mu+++03cxLFdQUMDq1avp3r07gwYN4pNPPmHdunXX7Qr43//+FwcHB9atW0fv3r1p164djz76KO3bt6/26/NvrlauzAuah2Jk02dNS+tGi1/2qB2j3hUqlmpH0CsoaDzd4wByci4TceGbRr3GkP1trWSWOCGE+JsUQkIvNDSU2NhYYmNj2b17N0OGDGHYsGGcPXsWT09PoqOjOXz4MM8++ywlJSVMmDCBoUOH6ouHwMBAzM3NiYiI4NixY+Tn59OzZ0969+5NWloaiYmJREREYGVlRf/+/aucS6fT8dRTT+Hm5saOHTvYvXs3d999NyNHjtQXXdURFxdHQEAAivLPG/sBAwaQm5vL+fPnK309yh/Lly83OFdwcDDHjh0jLS2NyMhIQkJC9IVQcXExO3fuJCQkRL//N998Q5s2bfD3Lxso3r17d1q3bs23335rcN5WrVrRokUL/dcBAQFotVri4+MrvafY2FgGDhyImVndfFo9oMUAJnaeWCfnVsPgq96ErjmmdgxVFGnN1Y6gl33ZFgc39afzro6U1FPsy9/aKNcYMvOywy7ES+0YQgjRYDS+3+SiztjY2ODn54efnx99+vRh+fLl5OXlsWzZMv0+Xbp0Ydq0aaxZs4atW7eydetWfWuPtbU1ffv2JTw8nPDwcIKCgjAxMcHMzIzAwED99gEDBmBuXvZmzMPDA4DU1FSDLKmpqfrn/vjjD3777TfWrVvHgAED6NmzJ59++ilWVlZ8+eWX9fJ6lD+uLU4AunbtirOzM5GRkQaFUGRkJHv27KG4uJjAwED9/itWrODo0aOYmprqH8eOHavxpAlWVlY1Or4qnu75NN1cG09XputpXeLI1HXZ6K6ZjKMpKSxpWL/2HTwax+xx10o4vZsTFrGN6i+oYqbBeXQ7FI1xtewKIURNNKJf46K+KYqCRqMhPz+/0uc7deoEQF7eP7NthYaGEhERQUREhEFLSPlYmsjISH23OAAfHx88PDz0U2lDWfexmJgYAgICAPQTDWg0hj+uGo3GoCtbVXXs2JHo6Gh0Op1+W1RUFHZ2drRs2bJa51IUhYEDB/LLL79w9OhRgoKC6NatG4WFhXz++ef07t0bG5uyMRmHDx9m7969REREGLQyRUREEB0drR9XBHDu3DkuXvxn/ZJdu3ah0Wiu29WtW7du7Nixg+Li4mrlrw4zjRnvDnoXO7OGMdj+VljoTJi/yQVd6iW1o6imoFDtBIau5nmrHeGWHDj8OykujWeNIfs7vDFrZn3zHYUQogmRQkjoFRYWkpKSQkpKCnFxcTz99NPk5uYycuRIpk6dypw5c4iKiuLs2bPs2rWL8ePH06xZM33BAmWFUEJCAps3bzYYGxMcHMz69etJSkoyKIQURWH69OnMnTuXDRs2cPjwYcaPH0/z5s316/gEBATg5OTEhAkTOHjwICdOnOCll14iMTGRO++8s9r3OW3aNJKSknj66ac5fvw4v/zyC6+//jrPP/98hWKrKkJCQvjmm2/o3r07tra2aDQaBg0axNq1aw1egxUrVtC3b18GDRpEly5d9I9BgwbRp08fg0kTLC0t9fe7Y8cOnnnmGUaPHq1vJfv555/p0KGDfv///Oc/ZGdnM2bMGPbu3UtCQgJfffXVdbvS3aqWdi2ZHTi7Vs9ZnxYe6IrJ4dp9TRqbgqulakcwkJthjaNH4+yuFbn7K3KbN/xp1y38HLENMrL5v4UQohZIIST0Nm3ahKenJ56envTr1489e/bw/fffExISQlhYGLt27eKBBx6gXbt23HfffVhaWrJ9+3ZcXP5ZoDEgIAALCwt0Op3BjG79+vWjuLhYP832tWbMmMHTTz/N5MmT6dOnD7m5uWzatAlLy7JB3a6urmzatInc3FwGDx78/+3deVhUZfsH8O/MAAMM+7DMgMgOKbuKrAoIBYqEZriECuqbqWWS4vamUrmUouSW+qoJmmsuJZliikCGC4aSmqamIKWIpKKAsg3P7w9+nBxBBQSG5f5c11w555x5zn3OEMw9z3KjV69e+OWXX7B//35urk1jmJiY4ODBg8jMzISzszMmTJiAcePGYc6cOU26b76+vpDJZHI9YH5+fnLbKioqsHXrVgwZMqTeNoYMGYItW7ZwPTrW1tZ46623MGDAALzxxhtwcnLCmjVruOMfPnwol+SIxWIcO3YMJSUl8PX1Rc+ePbFhw4YWmTMUbB6MITb1X0dbNutvV+gd/lXRYShUtZYY1TL28gNbmZZh+x1y+eOJr1Bp3PbuaS2BthB6w+3k5kQSQgipwWNPjw8ihJAGKKsqw/ADw3H94avVKWotYSU2iFh7DWiG5cTbs0oLRxw3m6DoMOoQ6TzBvZy1ig6jyZSVVfFWj2nA3Tb286XEg+F7zlQ4lRBCnoN6hAghjaaqpIo43zioCtrOUszP073SACO35nf6JAgAZLpts4BpaZEa9EzMFR1Gk1VWluHg7+vaXI0h3TBrSoIIIeQFKBEi7d6ECRPq1PupfUyY0Pa+/e4obHRtMKv3LEWH8ULaTBWfJKmCPShSdChtQpWmvqJDeC4NfQdFh/BKikvu1dQYErWNGkOi3hKI3CSKDoMQQto0GhpH2r27d+/i0aNH9e7T0tKCoaFhK0fUuSw5swTfXPpG0WHUKyHDEaKfzyk6jDajaMAknH1sr+gw6iXSLsO93DUvP7CNs7ZwQy/lQLDKxq9o2VxUumrCYLwTeEr0XSchhLxI2/jqipBXYGhoSMmOAsX0isGd0js4cvOIokORs+B6D4h+zlR0GG1Kpao28FjRUdSv9KEqxKZWuPdX+5h39jx/5pyBpoMYtjJnQAG5kEBHCPGo7pQEEUJIA9BvSkLIK+Hz+Pi8z+dwNmg7hTFHFXWH7Z7OvUJcfSqVNRQdwguJ9Nr38Lha5y4m4474Vqufl6cigDjSHgJNlVY/NyGEtEeUCBFCXplQIMSqfqtgpmWm6FDQu9wEb35zHWhCsd2OrkKgpugQXqj4QReggyzznJ65FcWtWWOIB+gNs4OKVNR65ySEkHaOEiFCSLPQVdXF2oC10BXqKiwGQ5kGpu+pAitp+0UuFaGCCRUdwgs9KRZCv6uNosNoNgdbscaQVpA51OzFLz/wBaKiosDj8biHWCxGcHAwzp8/zx2zYcMGODs7Q0NDAzo6OnB1dcXnn38OoKYWHY/Hw507d+TalUqlMDc3l9uWm5sLHo+HlJQUAABjDPPmzYNUKoWamhoCAwNx7dq1euMsLy+Hi4sLeDwesrOzG3RtaWlp4PF4sLe3h0wmX1RYR0cHiYmJDWoH+Pc+1bcYz/vvvw8ej4eoqKhWb4sQ0niUCBFCmo2plilWBaxSyLLaAvAQn9YFLK/1hyS1F+XVAkWH8FLq2m1zMYcmYQw/ZK4EM2rZ+y7ykELLz7RZ2goODkZ+fj7y8/ORkpICJSUlDBw4EACwadMmREdH48MPP0R2djYyMjIwY8YMlJSUAAB8fHygpKSEtLQ0rr3Lly/jyZMnePDgAXJzc7ntqampEAqF8Pb2BgAsWbIEK1euxLp163D69GmIRCIEBQWhrKysTowzZsyAsbFxk67vxo0b2LJlS5Ne+zRTU1Ps3LkTT5484baVlZVh+/bt6Nq1q8LaastkMhmqqaeetDGUCBFCmpWzgTM+7/M5+LzW/fWy9JILVDIvtuo525vyirb/K//RfRPwWvlnpyVVVpbh0MX/tViNIfWeRtAJs2q29oRCISQSCSQSCVxcXDBr1iz89ddfKCwsRFJSEoYOHYpx48bB2toa9vb2GDFiBBYuXAgA0NDQgJubm1wilJaWBh8fH3h7e9fZ7uHhAVVVVTDGsHz5csyZMwdhYWFwcnLCli1bcPv2bXz//fdy8R06dAg//fQTli5d2qTrmzx5MmJjY1FeXl7v/nfeeQfDhg2T21ZZWQl9fX25BKpHjx4wNTXFvn37uG379u1D165d4erq2qiYGtNWcnIyfHx8oKOjA7FYjIEDB+L69X8XGKntadu3bx/8/f2hrq4OZ2dnnDx5kjvm3r17GDFiBExMTKCurg5HR0fs2LFD7jzFxcWIiIiASCSCVCrFl19+CT8/P0RHR3PHlJeXIyYmBiYmJhCJRHB3d5d7jxMTE6Gjo4OkpCR0794dQqEQeXl5da7/hx9+gJubG1RVVaGvr4/Bgwc36v4R8io6zl8bQkibEWgWiJheMa12vkmFTjDZf6bVztdelT1p+9/GlpWqwMDcTtFhNKvikntI/bv5awypORtAd4gNeC00r6qkpARbt26FtbU1xGIxJBIJTp06hZs3bz73Nf7+/khNTeWep6amws/PD76+vnLb09LS4O/vDwDIycnBnTt3EBgYyO3X1taGu7u73Af4goICvPvuu/jmm2+grq7epGuKjo5GVVUVVq1aVe/+iIgI/PDDD1wvFwAcPnwYjx8/rvMBfezYsUhISOCeb9q0CWPGjGlSXA1tq7S0FFOnTsWvv/6KlJQU8Pl8DB48uE5Py8cff4yYmBhkZ2fD1tYWI0aMQNX/F5UuKytDz5498eOPP+LixYsYP348Ro0ahczMf1fZnDp1KjIyMpCUlIQjR47g+PHjOHv2rNw5PvjgA5w8eRI7d+7E+fPnER4ejuDgYLkhjY8fP8bixYuxceNG/P7773VWeP3xxx8xePBgDBgwAOfOnUNKSgp69+7dpHtISFNQIkQIaRGjuo/CyG4jW/w8/R6bw3/rpRY/T3vHVFRRUSZ7+YFtgKpmd0WH0OwK7l7HmdLD4Ck3z59dVXsx9Ibagcdv3iTowIEDXEFqTU1NJCUlYdeuXeDz+YiNjYWOjg7Mzc1hZ2eHqKgofPvtt3Ifwv39/XH16lXk5+cDANLT0+Hr64u+ffsiPT0dQM3wtLy8PC4Rqp1TZGRkJBeLkZERt48xhqioKEyYMAG9evVq8vWpq6sjNjYWn3/+OR4+fFhnf1BQEEQiEb777jtu2/bt2/Hmm29CU1NT7tiRI0fil19+wc2bN3Hz5k1kZGRg5Mim/c5raFtDhgzBW2+9BWtra7i4uGDTpk24cOECLl2S/x0YExODkJAQ2Nra4tNPP8XNmzfx559/AgBMTEwQExMDFxcXWFpaYvLkyQgODsa3334LoKY3aPPmzVi6dCkCAgLg4OCAhIQEublVeXl5SEhIwO7du9GnTx9YWVkhJiYGPj4+cgldZWUl1qxZAy8vL9jZ2dVJYBcuXIjhw4fj008/Rbdu3eDs7IzZs2c36R4S0hSUCBFCWsx0t+l40+rNFmvfrEoHE3c+AqtnHgGRJxM3bU6FIhT9Ywy+oO3PZ2qs6zm/4orw3Cv/5VW104V4xGvgCZq/J8jf3x/Z2dnIzs5GZmYmgoKC0L9/f9y8eRNSqRQnT57EhQsXMGXKFFRVVSEyMhLBwcFcMuTl5QUVFRWkpaXh0qVLePLkCXr06IFevXqhsLAQOTk5SEtLg5qaGjw8PBoc16pVq1BcXNwsH5LHjRsHsViMxYsX19mnpKSEoUOHYtu2bQBqemD279+PiIiIOscaGBggJCQEiYmJSEhIQEhICPT19ZsUU0PbunbtGkaMGAFLS0toaWlxi1A8O+TMycmJ+7dUKgVQU3wcqJmrM3/+fDg6OkJPTw8aGho4fPgw18aNGzdQWVkp1zOjra0NO7t/e2ovXLgAmUwGW1tbLnHW0NBAenq63FA9FRUVuVielZ2djYCAgIbeJkKaHRVUJYS0GD6PjwXeC6AqUMW3V79t1raFTIAvksVgBVeatd2OSqYnUXQIDVbxRBkG5t1QcL3jzfk6dyEZmm56kP7TtMUNhFbaEI9suYKpIpEI1tbW3PONGzdCW1sbGzZswIIFCwAADg4OcHBwwKRJkzBhwgT06dMH6enp3JyU3r17IzU1Fffv34ePjw8EAgEEAgG8vLyQmpqK1NRUeHt7Q0Wlpt6RRFLzs1lQUMB9aK997uLiAgA4duwYTp48CaFQfuXDXr16ISIiAps3b27wNSopKWHhwoWIiorCBx98UGd/REQEfH19cffuXRw5cgRqamoIDg6ut62xY8dybXz11VcNjqGpbYWGhsLMzAwbNmyAsbExqqur4eDggIqKCrnjlJX/nZNWO3SyNlmNi4vDihUrsHz5cjg6OkIkEiE6OrpOGy9SUlICgUCArKwsCJ750kJD4996ZWpqai8cuqmm1raX9CcdH/UIEUJaFI/Hw1zPuc0+TG75OUcILlAS1FAybcOXH9SGCEXdFB1Ci/n5zHYUG5e8/MBnqJhrQRxp32zD6xqCx+OBz+fLrWj2tO7da4Yxlpb+u2S9v78/0tLSkJaWBj8/P2573759kZaWxiVNtSwsLCCRSLiltAHg0aNHOH36NDw9PQEAK1euxG+//cb1Vh08eBAAsGvXLm6xhsYIDw+Hvb09Pv300zr7vLy8YGpqil27dmHbtm0IDw+XSyyeFhwcjIqKClRWViIoKKjRcTSmrXv37uHKlSuYM2cOAgIC0K1bNzx48KDR58nIyEBYWBhGjhwJZ2dnWFpa4urVq9x+S0tLKCsr48yZf+ddPnz4UO4YV1dXyGQy3L17F9bW1nKP2sS2IZycnOTed0JaG/UIEUJaxczeM6GqpIqNFza+elu3XCA+/GszRNV5VGmIgYZ/4atwRYVS8AVKqJZVKTqUFnHwxBq85RUD5dsNS2qUu2hAP8oefJWWHTJYXl7Ozct58OABVq9ejZKSEoSGhmLixIkwNjZGv3790KVLF+Tn52PBggUwMDDgEhagJhGaP38+7ty5g5iYfxdN8fX1RVxcHIqLi+USIR6Ph+joaCxYsAA2NjawsLDA3LlzYWxsjEGDBgFAnWWka3sdrKys0KVLlyZd6xdffPHc5OWdd97BunXrcPXqVblFHp4lEAhw+fJl7t+v4mVt6erqQiwWY/369ZBKpcjLy8OsWbMafR4bGxvs2bMHJ06cgK6uLuLj41FQUMAltZqamoiMjMT06dOhp6cHQ0NDxMbGgs/nc707tra2iIiIwOjRo7Fs2TK4urqisLAQKSkpcHJyQkhISL3nnj17Nm7dusWtwBcbG4uAgABYWVlh+PDhqKqqwsGDBzFz5sxGXxchTUE9QoSQVjOlxxS87/L+K7XxZrENem7Pbp6AOpFKNR1Fh9AoFWVKMLToQDWFnsUYkk6vaFCNIWWpCAZjHcBXbfnvLpOTkyGVSiGVSuHu7o4zZ85g9+7d8PPzQ2BgIE6dOoXw8HDY2tpiyJAhUFVVRUpKCsTif4u5enp6QigUgjGGnj17ctvd3d1RWVnJLbP9tBkzZmDy5MkYP3483NzcUFJSguTkZKiqtlxNsn79+qFfv37campPi4iIwKVLl2BiYsLVOnoeLS0taGlpNUtML2qLz+dj586dyMrKgoODAz766CPExcU1+hxz5sxBjx49EBQUBD8/P0gkEi7hrBUfHw9PT08MHDgQgYGB8Pb2Rrdu3eTej4SEBIwePRrTpk2DnZ0dBg0ahDNnzryw9lF+fr7cfCY/Pz/s3r0bSUlJcHFxQb9+/eRWryOkpfEYY61T9poQQv5f4sVELMta1ujXda80wKebysDuN344SGd3J/wTXCo0UHQYjWLQ5Rb+urBL0WG0KA0NXQy0ex/sfmW9+5W7aEB/jAMEopapQ0RIQ5SWlsLExATLli3DuHHjFB0OIc2GeoQIIa0uyiEK/3X/L3ho+KpXmtVCfJKkSklQE1UqNa3uiiIV3TWCQFlF0WG0qJKSBzj217Z6awwJbXVhMN6JkiDS6s6dO4cdO3bg+vXrOHv2LLdqXlhYmIIjI6R5USJECFGIEa+NwCden4DPa9ivoRWnbIGrOS0cVcdVwWu5IUYtpbJCCYYWDooOo8XdvZuDzNJk8FT+/X9B3dUQ+pHdW3xOUEfRv39/uWWcn34sWrRIITHl5eU9NyYNDY06S163NUuXLoWzszMCAwNRWlqK48ePN3l5cELaKhoaRwhRqAM3DmDOL3MgY88v9jn/Rg/Y7aJx46/i0vC1uHOn+uUHtjEGXfLx14Udig6jVbjYvwG7Mldo+HSBdn/zFy47TOTdunXruSvb6enpQU9Pr5UjAqqqqpCbm/vc/ebm5lBSojWrCFEk+j+QEKJQAy0HQk+oh5ifY1BcUVxn/8ii7rDbTSvEvarySj6A9pcI3S8whJKKEFUV5YoOpcX9dukorN/3hk4fC0WH0u6YmJgoOoQ6lJSU5GoyEULaHhoaRwhROC8TL2wdsBVdNeVXG3IrN0bY1htAdfv7AN/WlLXTPEJWKYChxfMr03cUyqpqCJv+Mcz69Hz5wYQQQpoFJUKEkDbBUtsS20O2o7ekNwDAUKaBGXurwYobX3iSyGM8HsofP3/oYVvHV7ZVdAgtSkOsj+GfLoZVT3dFh0IIIZ0KJUKEkDZDW6iNda+vw1CbcCxL6wJ2829Fh9QhVOsaorq6/U4HvV9gAGVVNUWH0SKMLG0QsTAehuaWig6FEEI6HUqECCFtijJfGXO95sFswBDwlGnZ4OZQrStVdAivpLqKD0Pzjjc8zsbdC8M++Rwauq0/kZ8QQgglQoSQNkp3+HB03bIZSgbtqwhoW1Sla6ToEF6doOMMj+MLlNDnnSiEfjQbysL2t6w5IYR0FJQIEULaLHVXV1js2wu1Hj0UHUq7VqXZ/mt/3C8QQ6guUnQYr0xXaoJ3FixF77C3aXlsQghRMEqECCFtmpKBAcw2J0IvMhKgD45NUiXSVXQIr4zJ+NA3c1Z0GK/Ewf8NjPpiBYwsaUllQghpCygRIoS0eTxlZRjNnoWuCZugJG3f810UoUqoregQmgfPRtERNImqSAOhU2cjaMKHUFaloXCEENJWUCJECGk3RB4esEzaD63QUEWH0q5UKGsoOoRmcf+OHlQ1tBQdRqOYdnfE6LjVsHX3VnQohBBCnkGJECGkXRFoasIkbglMvoyHQLuD9HS0sAp+x+iFYIzXbobH8QUC+AwfjfC5C6Epbv9ztAghpCOiRIgQ0i5p9e8Pi6QkiHx8FB1Km1fBVBQdQrORVbf9+TU6EilGfBYH98FDwePTn1lCCGmr6Dc0IaTdUjYyRNeNG2A0dw54ah2z4GZzKJcpKTqEZvOgQAdqWjqKDuO57H0DMWrxSkisO85y34QQ0lFRIkQIaff0IiJgsW8vVJ07XtHN5lBW3oFW22M86Hdte8Pj1LV1MDB6JoInRUNFlZJyQghpDygRIoR0CEILC5jv3AnpgvkQiMWKDqdNKXsiU3QIzaqqykrRIXB4fD569H8TY5f/D3aefRQdDiGEkEbgMcaYooMghJDmJCsuRuGqVXiwfQdQVaXocBSqWlWENI8lig6jWTEwKLHNKC26r9A4TF6zR8DYCTAws1BoHIQQQpqGEiFCSIdVfu0a7ixchMenTik6FIWp6mKLn62nKDqMZmdgko2/Lh5TyLlFOrroGzEG3fv2U8j5CSGENI+OM4OWEEKeIbSxgVliAh4lH0bBksWoup2v6JBaXZWekaJDaBGVla3fCyNQVoZrcCg83hoOobp6q5+fEEJI86IeIUJIp1BdVoZ76zfg3tdfg5WXKzqcVlPqMwSnlTpmz4US/xuU3Cts+RPxeHjNqy/6jIiEloFhy5+PEEJIq6BEiBDSqVT8/Tf+WbUKDw/8CMg61iIC9XkYNB5Z5W1vlbXmYNjlAvIuHGnRc5i8Zg/fUWMhtbZr0fMQQghpfZQIEUI6pYq8PPzzv//hYdIPQGWlosNpMf8Mmo7zReaKDqNFaOuXoODa+hZpW8+4C3xGjIZNb68WaZ8QQojiUSJECOnUKv6+hXvr1+Phd9+BdcCE6M7Qz3DpbsddTlxFaTseFd5ptvZMXrOH25tvwbJHb/B4Haj+EiGEkDooESKEEACV+fm4t2EjivbsAauoUHQ4zSZvxFL8md9xC3wadvkdeRcOv1IbPD4fNr290Ct0MA2BI4SQToQSIUIIeUplwV3c3/Q1Huz6FqysTNHhvLI/31mFvNsdt3a2lrgEd/9s2vA4ZaEqHPxfR8+QMGgbSpo5MkIIIW1dx/3rSAghTaBsZAij2bNhffQI9CdNgpKBgaJDeiXlMmVFh9CiHt3TgLaRSaNeI9LRhc/w0Ri/JhH9xrxHSRAhT8nIyICjoyOUlZUxaNAgpKWlgcfjoaioSNGhvZC5uTmWL1+u6DBIO0OJECGE1ENJXx8GH06GdeoxmCz/EupubooOqUnKqzr+r3ltI6cGHSfu0hVvTPgQ7361Ce6Dh0JVQ6PFYoqKigKPx+MeYrEYwcHBOH/+PHfMhg0b4OzsDA0NDejo6MDV1RWff/45ACA5ORk8Hg937sjPf5JKpTA3N5fblpubCx6Ph5SUFAAAYwzz5s2DVCqFmpoaAgMDce3aNbnXLFy4EF5eXlBXV4eOjk6jrq32fE9f2xtvvIFz5841qp1XZW5uzsWgpqYGc3NzDB06FMeOtXyh3WfvQe1j5MiRANAiycPevXvh5+cHbW1taGhowMnJCZ999hnu37/fbOcAgKlTp8LFxQU5OTlITEyEl5cX8vPzoa2t3aznaarExMR6f2bPnDmD8ePHt35ApF3r+H8hCSHkFfCUlKAVHAyzb7bA8sAP0B01CoI28oGgIcqeVCs6hBb3pMTsuft4PD7MnFwxeFYsIpd+BUf/NyBQap1esuDgYOTn5yM/Px8pKSlQUlLCwIEDAQCbNm1CdHQ0PvzwQ2RnZyMjIwMzZsxASUkJAMDHxwdKSkpIS0vj2rt8+TKePHmCBw8eIDc3l9uempoKoVAIb29vAMCSJUuwcuVKrFu3DqdPn4ZIJEJQUBDKnhrqWVFRgfDwcEycOLHJ13f06FHk5+fj8OHDKCkpQf/+/Vu91+Czzz5Dfn4+rly5gi1btkBHRweBgYFYuHDhc1/DGENVVVWznL/2HtQ+vvrqq2Zp91kff/wxhg0bBjc3Nxw6dAgXL17EsmXL8Ntvv+Gbb75p1nNdv34d/fr1Q5cuXaCjowMVFRVIJJIWXzyk4hXnZhoYGECdCh2TRqJEiBBCGkhobQ3Jx/+F9fGfYRK/DCIvL6ANryzG+AKUP+n4tZKKH6hDV9pVbpuBmQX6jhyLd9dswtsfz4elq1urrwInFAohkUggkUjg4uKCWbNm4a+//kJhYSGSkpIwdOhQjBs3DtbW1rC3t8eIESO4D/AaGhpwc3OTS4TS0tLg4+MDb2/vOts9PDygqqoKxhiWL1+OOXPmICwsDE5OTtiyZQtu376N77//nnvNp59+io8++giOjo5Nvj6xWAyJRIJevXph6dKlKCgowOnTp7F69Wo4ODhwx33//ffg8XhYt24dty0wMBBz5swBAHzyySdwcXHBpk2b0LVrV2hoaGDSpEmQyWRYsmQJJBIJDA0N601uNDU1IZFI0LVrV/Tt2xfr16/H3LlzMW/ePFy5coW7PzweD4cOHULPnj0hFAqxadMm8Hg8/PHHH3Ltffnll7Cysmr0Pah9aGtrIzc3F/7+/gAAXV1d8Hg8REVFAQD8/PwwefJkREdHQ1dXF0ZGRtiwYQNKS0sxZswYaGpqwtraGocOHeLOkZmZiUWLFmHZsmWIi4uDl5cXzM3N8frrr2Pv3r2IjIzkjl27di2srKygoqICOzu7OkkSj8fDxo0bMXjwYKirq8PGxgZJSUkA/u3lunfvHsaOHQsej4fExMR6e7c2bNgAU1NTqKurY/DgwYiPj5frpYmKisKgQYPkzh0dHQ0/Pz/uuZ+fHz744ANER0dDX18fQUFBAID4+Hg4OjpCJBLB1NQUkyZN4r4gSEtLw5gxY/Dw4UOuF+6TTz4BUHdoXF5eHsLCwqChoQEtLS0MHToUBQUF3P7an7tvvvkG5ubm0NbWxvDhw1FcXPzC9zwjIwN+fn5QV1eHrq4ugoKC8ODBgxe+hrRdlAgRQkgj8VVUoDVgALpu+hrWR4/AYMqHUO3eXdFh1VGtJ0FnWQ5H08ARmmIDuIW9jci41Ri9ZBXcQt+Cpp6+okMDAJSUlGDr1q2wtrbmPjyfOnUKN2/efO5r/P39kZqayj1PTU2Fn58ffH195banpaVxH7xzcnJw584dBAYGcvu1tbXh7u6OkydPtsCV1VBTq1mZsKKiAr6+vrh06RIKCwsBAOnp6dDX1+eSt8rKSpw8eVLuQ/H169dx6NAhJCcnY8eOHfj6668REhKCv//+G+np6Vi8eDHmzJmD06dPvzSWKVOmgDGG/fv3y22fNWsWvvjiC1y+fBlvv/02evXqhW3btskds23bNrzzzjuvcCcAU1NT7N27FwBw5coV5OfnY8WKFdz+zZs3Q19fH5mZmZg8eTImTpyI8PBweHl54ezZs3jjjTcwatQoPH78mIupNjmsT20C8t1332HKlCmYNm0aLl68iPfeew9jxoyR+1kBapLgoUOH4vz58xgwYAAiIiJw//59mJqaIj8/H1paWli+fDny8/MxbNiwOufLyMjAhAkTMGXKFGRnZ+P1119/YQ/ci2zevBkqKirIyMjgEmU+n4+VK1fi999/x+bNm3Hs2DHMmDEDAODl5YXly5dDS0uL64WLiYmp0251dTXCwsJw//59pKen48iRI7hx40ad67l+/Tq+//57HDhwAAcOHEB6ejq++OKL58abnZ2NgIAAdO/eHSdPnsQvv/yC0NBQyDpBce6OSknRARBCSHumbGIC/YkToT9xIipv3UJxSgqKjxzF47NnAQX/cZTpSRV6/tYg0laBZQ9DWPdwgtR6Qpuq/XPgwAFo/P88pNLSUkilUhw4cAB8Ph+xsbF46623YG5uDltbW3h6emLAgAF4++23wefXfEfp7++PRYsWIT8/H1KpFOnp6Zg+fTqqqqqwdu1aAMCNGzeQl5fHJUK1c4qMjIzkYjEyMqoz36i5FBUVYf78+dDQ0EDv3r1haGgIPT09pKen4+2330ZaWhqmTZvGJQOZmZmorKyEl9e/xWqrq6uxadMmaGpqonv37vD398eVK1dw8OBB8Pl82NnZYfHixUhNTYW7u/sL49HT04OhoaHc8EGgZhjd66+/zj2PiIjA6tWrMX/+fADA1atXkZWVha1btzb42r28vLj3CwCOHz8OV1dX6OnpAQAMDQ3rzGdxdnbmesNmz56NL774Avr6+nj33XcBAPPmzcPatWtx/vx5eHh44Nq1a7C0tISy8ouHdC5duhRRUVFcwjR16lScOnUKS5cu5X4+gJremhEjRgAAFi1ahJUrVyIzMxPBwcHcEDhtbW1IJPUvIrJq1Sr079+fS0BsbW1x4sQJHDhwoKG3jWNjY4MlS5bIbYuOjub+bW5ujgULFmDChAlYs2YNVFRUoK2tDR6P99z4ACAlJQUXLlxATk4OTE1NAQBbtmyBvb09zpw5A7f/n/NZXV2NxMREaGpqAgBGjRqFlJSU5yZ2S5YsQa9evbBmzRpum729faOvm7Qd1CNECCHNRNnEBHqjR8Psmy2w+eU4pAsXQMPPDzyhUCHxyHQMFXLeliY20UCPoK54K6YHIr/wRt9htjC20W9TSRBQk8hkZ2cjOzsbmZmZCAoKQv/+/XHz5k1IpVKcPHkSFy5cwJQpU1BVVYXIyEgEBwejurpmXpeXlxdUVFSQlpaGS5cu4cmTJ+jRowd69eqFwsJC5OTkIC0tDWpqavDw8Gj16/Py8oKGhgZ0dXXx22+/YdeuXTAyMgKPx0Pfvn2RlpaGoqIiXLp0CZMmTUJ5eTn++OMPpKenw83NTW4+h7m5OfdhFKhJ3Lp37y6XZBgZGeHu3bsNio0xVufnoVevXnLPhw8fjtzcXJw6dQpATc9Ljx498NprrzX4HuzatYt7j7Ozs9G9AT3DTk7/Lu4hEAggFovlhijWJrG119rQKieXL1/m5onV8vb2xuXLl597fpFIBC0trQbfV6Cml6t3795y25593lA9e/ass+3o0aMICAiAiYkJNDU1MWrUKNy7d4/rIWuIy5cvw9TUlEuCAKB79+7Q0dGRux/P/txJpdIX3ovaHiHScVCPECGEtAAlXV3oDBkCnSFDUF1aipLjv6D46FGUnjwJ2b17rRJDlaY+0AFGbKioKcG0my662ovRtbsYGrqKSSwbSyQSwdramnu+ceNGaGtrY8OGDViwYAEAwMHBAQ4ODpg0aRImTJiAPn36ID09Hf7+/lBXV0fv3r2RmpqK+/fvw8fHBwKBAAKBAF5eXkhNTUVqaiq8vb2hoqICANy35AUFBZBK/+0RLCgogIuLS7Ne365du9C9e3eIxeI6vR5+fn5Yv34910OipaXFJUfp6enw9fWVO/7Z3g4ej1fvttok8UXu3buHwsJCWFhYyG0XiURyzyUSCfr164ft27fDw8MD27dvb/TiEaampnLvcUO87FprE7jaa7W1tcUvv/yCysrKl/YKNfX8DbmvjcHn8+skcJWVlXWOe/Y9yc3NxcCBAzFx4kQsXLgQenp6+OWXXzBu3DhUVFQ0+2IIjb0XtUNAScdBPUKEENLC+CIRtIKDYLI0DrYZv8Dy0EFIF8yH9uDBUDbr+vIGmqhSXbfF2m5JykIBurymC7cQcwye1gPjlvogeLwjunsbt5skqD48Hg98Ph9Pnjypd39tb0JpaSm3zd/fH2lpaUhLS5ObU/N0UvH0sCcLCwtIJBJuKW0AePToEU6fPg1PT89mvR5TU1NYWVnVu5Rx7Tyh3bt3c3H7+fnh6NGj3GTzlrJixQrw+fw6k/XrExERgV27duHkyZO4ceMGhg8f3iwx1CamzTF35J133kFJSYnccKyn1S5i0K1bN2RkZMjty8jIaFAvVWPY2dnhzJkzctuefW5gYID8/Hy5bdnZ2S9tOysrC9XV1Vi2bBk8PDxga2uL27dvyx2joqLy0vvarVs3/PXXX/jrr7+4bZcuXUJRUdEr3Q8nJye5/7dI+0c9QoQQ0sqEFhYQWlhA5+23AQBV//yDx1ln8TjrVzzJOouyP/5olvlFVUIt4MULILUJGnpCSK10ILXShsRKG2ITDfD5bWuYW1OUl5dz83IePHiA1atXo6SkBKGhoZg4cSKMjY25ZYrz8/OxYMECGBgYyCUs/v7+mD9/Pu7cuSM3KdzX1xdxcXEoLi6WS4R4PB6io6OxYMEC2NjYwMLCAnPnzoWxsbFcYpCXl4f79+8jLy8PMpmM+5BqbW3NzWt6FU5OTtDV1cX27du5uSN+fn6IiYkBj8erM4SrqYqLi3Hnzh1UVlYiJycHW7duxcaNG/H55583qKfmrbfewsSJEzFx4kT4+/vD2Ni4WeIyMzMDj8fDgQMHMGDAAKipqTX5vrq7u2PGjBmYNm0abt26hcGDB8PY2Bh//vkn1q1bBx8fH0yZMgXTp0/H0KFD4erqisDAQPzwww/Yt28fjh492izXVGvy5Mno27cv4uPjERoaimPHjuHQoUNyQxH79euHuLg4bNmyBZ6enti6dSsuXrwIV1fXF7ZtbW2NyspKrFq1CqGhoXKLKNQyNzdHSUkJUlJS4OzsDHV19To9RYGBgXB0dERERASWL1+OqqoqTJo0Cb6+vnWGSL7I6tWr8d1333HJz+zZs+Ho6Mj14KqoqCA1NRXh4eHQ128bC7OQxqEeIUIIUTAlfX1oBb0ByX//C4u9e2CXeRpdEzbBcNZM6AwdCvVevSAQixvdboWS6OUHtSK+Eg/iLhqwdTeC51tWGDjZGVFfeCNykTfeGGcPR78uMDDV7BBJEFBTFFUqlUIqlcLd3R1nzpzhekgCAwNx6tQphIeHw9bWFkOGDIGqqipSUlIgfuq99vT0hFAoBGNMbj6Fu7s7KisruWW2nzZjxgxMnjwZ48ePh5ubG0pKSpCcnAxVVVXumHnz5sHV1RWxsbEoKSmBq6srXF1d8euvvzbLtfN4PPTp0wc8Hg8+Pj4AapIjLS0t9OrVq86QqKaqLRxrbW2NUaNG4eHDh0hJScHMmTMb9HpNTU2Ehobit99+Q0RERLPEBAAmJib49NNPMWvWLBgZGeGDDz54pfYWL16M7du34/Tp0wgKCoK9vT2mTp0KJycnbvnsQYMGYcWKFVi6dCns7e3xv//9DwkJCc3e++bt7Y1169YhPj4ezs7OSE5OxkcffST38xUUFIS5c+dixowZcHNzQ3FxMUaPHv3Stp2dnREfH4/FixfDwcEB27Zt44oM1/Ly8sKECRMwbNgwGBgY1FlsAaj5+du/fz90dXXRt29fBAYGwtLSErt27WrUtf7zzz+4fv0699zW1hY//fQTfvvtN/Tu3Ruenp7Yv38/lJSoX6G94rGGzsIj5BVERUVh8+bN3HM9PT24ublhyZIl3MTNDRs2YPXq1bh+/TqUlJRgYWGBoUOHYvbs2UhOTkb//v2Rn58vt1KMVCqFUCiUWx0oNzcXFhYW3IRLxhhiY2OxYcMGFBUVwdvbG2vXroWNjQ33mjfffBPZ2dm4e/cudHV1ERgYiMWLFzfo28Gnl64FAFVVVVhaWmLKlCmNrnLN4/Hw3XffyX1z+8knn+D7779v0LCCxqp9X957770637q9//77WLNmDSIjI5GYmNjs5yaNJysqQvmNHFTk3ED5jRuouJGDihs3UPH33/X2IN14ZwVyb7fuH2geDxDpCKEpVoW2vhq0DNSgY6QOsbEGdIzUwBfQ92+EdDTvvvsu/vjjDxw/flzRoRDSKJTCklYTHByMhIQEADVLvM6ZMwcDBw5EXl4eV2V95cqV8PX1RXl5Oc6fP4+LFy8CkK+yXjuGu7bK+uPHj5Gbmwtzc3MAz6+yvnnzZm6YSFBQEC5dusR9g+Xv74///ve/kEqluHXrFmJiYvD222/jxIkTDb6+K1euQEtLC0+ePMEPP/yAiRMnwsrKqs2vMGNqaoqdO3fiyy+/5CaClpWVYfv27ejateXmr7Q2mUzGzdForwQ6OlDv4Qr1HvLDS1hlJaoKC1H1zz+o+uceqv6p+XeZoSGUTZRRVlqJ8tJKVJTJIKusRlVVNaqrqiGrrIasqrpOrSEeD+Ar8cEX8CAQ1PxXSSiAqkgZqiIlqIqUIRQp//9zZahqKEFDRwgNXVVo6Aop2SGkg1u6dClef/11iEQiHDp0CJs3b37uHCZC2jRGSCuIjIxkYWFhctuOHz/OALC7d++ysLAwFhUV9cI2PD092Xvvvcc9X7NmDQsJCWH9+/dnCQkJ3PbRo0czX19fxhhj1dXVTCKRsLi4OG5/UVEREwqFbMeOHc891/79+xmPx2MVFRUvvbbU1FQGgD148EBuu5WVFVuyZAn33MzMjH355Zdyxzg7O7PY2FhuPwDuYWZmxhISEuS2AeCu9ebNm+zNN99kIpGIaWpqsvDwcHbnzh2u7djYWObs7My2bNnCzMzMmJaWFhs2bBh79OgRd0zt++Lg4MC2bt3Kbd+2bRtzcnJiYWFhLDIyktt+6NAh5u3tzbS1tZmenh4LCQlhf/75J7c/JyeHAWB79+5lfn5+TE1NjTk5ObETJ05wx/zzzz9s+PDhzNjYmKmpqTEHBwe2fft2ufvy6NEj9s477zB1dXUmkUhYfHw88/X1ZVOmTOGOKSsrY9OmTWPGxsZMXV2d9e7dm6WmpnL7ExISmLa2Ntu/fz/r1q0bEwgELCcnp877l5SUxHr16sWEQiETi8Vs0KBBdY7p6KqqZKyirIpVVlQxmaxa0eEQBXvvvfeYSCSq9/H07+COjO7Bi4WHhzMDAwOmqqrKunfvztauXavokAhpEuoRIgpRX5X19PR03Lx5E2ZmZvW+xt/fH3v27OGe11ZZl8lkSE1NRVRUFICaoWpjx44F8PIq6/WtEHT//n1s27YNXl5eTVqqlDGGw4cPIy8v76WF/5525swZGBoaIiEhAcHBwRAIBNDQ0MDFixeRnJzMTXjV1tbmqmZraGggPT0dVVVVeP/99zFs2DCuejsgXzX7wYMHGDp0KL744os6xeLGjh2LhIQEboz8pk2bMGbMGLm2gJrVrGrHpZeUlGDevHkYPHgwsrOz5XpaPv74YyxduhQ2Njb4+OOPMWLECPz5559QUlJCWVkZevbsiZkzZ0JLSws//vgjRo0aBSsrK64WxdSpU5GRkYGkpCQYGRlh3rx5OHv2rNzyvx988AEuXbqEnTt3wtjYGN999x2Cg4Nx4cIFbtjj48ePsXjxYmzcuBFisRiGhvJ1dX788UcMHjwYH3/8MbZs2YKKigocPHiwwe9ZRyEQ8CEQKDoK0lZ89tlncgszPE1LS6uVo1EMugcv9u233yo6BEKah6IzMdI5REZGMoFAwH2jBoBJpVKWlZXFGGPs9u3bzMPDgwFgtra2LDIyku3atYvJZDKujSNHjjAA7Pbt24wxxgwNDVlmZiY7ceIEMzMzY4wxdv36dQaApaenM8YYy8jIkHtNrfDwcDZ06FC5bTNmzGDq6uoMAPPw8GD//PNPg66ttkeo9tqUlJQYn89nCxYskDvuZT1CjDEGgH333Xdyx9T27Dztp59+YgKBgOXl5XHbfv/9dwaAZWZmcq9TV1eX6wGaPn06c3d3557X9gjdvXuXCYVClpuby3Jzc5mqqiorLCys0yP0rMLCQgaAXbhwgTH2b4/Qxo0b68R1+fLl57YTEhLCpk2bxhir6Q1SVlZmu3fv5vYXFRUxdXV1rkfo5s2bTCAQsFu3bsm1ExAQwGbPns0YY1xvWnZ29nPP6+npySIiIp67nxBCCCEdFw3kJq2mrVdZnz59Os6dO4effvoJAoEAo0ePbnBFbwA4fvw4d30bN27EokWLsHbt2kbH0RDNXTXbwMAAISEhSExMREJCAkJCQupdCvTatWsYMWIELC0toaWlxc3LysvLkzvu6crltUUda88rk8kwf/58ODo6Qk9PDxoaGlwPGgDcuHEDlZWVcpXKtbW1YWdnxz2/cOECZDIZbG1toaGhwT3S09PlVvhRUVGRi+VZVCWcEEII6bxoaBxpNW29yrq+vj709fVha2uLbt26wdTUFKdOnWpwEUILCwuusKC9vT1Onz6NhQsXcpXKG1ppuzk1pmr22LFjuSVev/rqq3qPCQ0NhZmZGTZs2ABjY2NUV1fDwcEBFRUVzz3vs1XS4+LisGLFCixfvhyOjo4QiUSIjo6u08aLlJSUQCAQICsrC4JnxnQ9XatDTU1NrrbFs6hKOCGEENJ5UY8QUZi2XGW99kN7eXl5k64NAAQCgdy1PVtp+9GjR8jJyZF7jbKycp2K2fVV0W6JqtnBwcGoqKhAZWUlgoKC6uy/d+8erly5gjlz5iAgIADdunXDgwcPGn2ejIwMhIWFYeTIkXB2doalpSWuXr3K7be0tISysrJcpfKHDx/KHePq6gqZTIa7d+/C2tpa7vH08uovQ1XCCSGEkM6LeoRIq2mrVdZPnz6NM2fOwMfHB7q6urh+/Trmzp0LKyurBvcGATVDv8rKylBeXo7MzEx88803ePvtt7n9/fr1Q2JiIkJDQ6Gjo4N58+bV6c0wNzdHSkoKvL29IRQKoaurC3Nzc+Tk5CA7OxtdunSBpqZms1XNfppAIOCG1T0bFwDo6upCLBZj/fr1kEqlyMvLw6xZsxp9HhsbG+zZswcnTpyArq4u4uPjUVBQwCVwmpqaiIyMxPTp06GnpwdDQ0PExsaCz+dzvTu2traIiIjA6NGjsWzZMri6uqKwsBApKSlwcnJCSEhIveeePXs2bt26hS1btgAAYmNjERAQACsrKwwfPhxVVVU4ePBgg4sxEkIIIaT9oh4h0mraapV1dXV17Nu3DwEBAbCzs8O4cePg5OSE9PR0CIXCBl+fnZ0dV+F85syZeO+997Bq1Spu/+zZs+Hr64uBAwciJCQEgwYNgpWVlVwby5Ytw5EjR2BqagpX15paMUOGDEFwcDD8/f1hYGCAHTt2NFvV7GdpaWk9d0UkPp+PnTt3IisrCw4ODvjoo48QFxfX6HPMmTMHPXr0QFBQEPz8/CCRSOQKyAJAfHw8PD09MXDgQAQGBsLb2xvdunWTq1yekJCA0aNHY9q0abCzs8OgQYNw5syZF9Y+ys/Pl5vP5Ofnh927dyMpKQkuLi7o168fMjMzG31NhLSEqKioOv9vEEIIaUYKXqyBEEJeqqSkhGlra8utRkfaj8jISLlaWHp6eiwoKIj99ttv3DHr169nTk5OTCQSMW1tbebi4sIWLVrEGKupXwWA5efny7UrkUi4FSNr1a5cePToUcZYTS2xuXPnMolEwlRVVVlAQAC7evUqd3ztqo/1PWpXYHyePXv2MD6fz/7+++9691tbW7OPPvqowffpWUVFRXXqk72q2vpajVH7/tVXP2fSpEkMwAtXlySEkLaKeoQIIW3OuXPnsGPHDly/fh1nz57l6huFhYUpODLSVMHBwcjPz0d+fj5SUlKgpKSEgQMHAqipWxUdHY0PP/wQ2dnZyMjIwIwZM1BSUgIA8PHxgZKSklxdq8uXL+PJkyd48OABcnNzue2pqakQCoXw9vYGACxZsgQrV67EunXrcPr0aYhEIgQFBaGsrAxAzWqUtXHVPv7zn//AwsLipcNM33zzTYjFYmzevLnOvp9//hl//vknxo0b1+h7JZPJUF1dDW1tbW4BFkUzNTXFzp075eY9lpWVYfv27S/shW1vau89IaRzoESIkJfo37+/3BLNTz8WLVqk6PA6rKVLl8LZ2RmBgYEoLS3F8ePH613Sm7QPQqEQEokEEokELi4umDVrFv766y8UFhYiKSkJQ4cOxbhx42BtbQ17e3uMGDGCK/xbO+T16UQoLS0NPj4+8Pb2rrPdw8MDqqqqYIxh+fLlmDNnDsLCwuDk5IQtW7bg9u3b+P777wHULEZSG5dEIoFYLMb+/fsxZsyYF644CNQsbjJq1CgkJibW2bdp0ya4u7vD3t4e8fHx3AqJpqammDRpEpfkAUBiYiJ0dHSQlJSE7t27QygUIi8vr87QuOTkZPj4+EBHRwdisRgDBw6UWy4+NzcXPB4P+/bt41badHZ2xsmTJ7l7M2bMGDx8+BA8Hg88Hg+ffPIJAGDNmjWwsbGBqqoqjIyM5OY3AkCPHj1gamqKffv2cdv27duHrl27csN4mytOoGZxlhEjRsDExATq6upwdHTEjh075M5TXFyMiIgIiEQiSKVSfPnll/Dz80N0dDR3THl5OWJiYmBiYgKRSAR3d3e5n5fn3ftn/fDDD3Bzc4Oqqir09fUxePDgOscQQtofSoQIeYmNGzdy9YGefUyYMEHR4XVIrq6uyMrKQklJCe7fv48jR47A0dFR0WGRZlJSUoKtW7fC2toaYrEYEokEp06dws2bN5/7Gn9/f6SmpnLPU1NT4efnB19fX7ntaWlp3IIpOTk5uHPnDgIDA7n92tracHd3l/vQ/bSkpCTcu3cPY8aMadC1jBs3DteuXcPPP/8sd3179uzheoP4fD5WrlyJ33//HZs3b8axY8cwY8YMuXYeP36MxYsXY+PGjfj9999haGhY51ylpaWYOnUqfv31V6SkpIDP52Pw4MF1ejA+/vhjxMTEIDs7G7a2thgxYgSqqqrg5eWF5cuXQ0tLi+v9iomJwa+//ooPP/wQn332Ga5cuYLk5GT07du3zvnHjh2LhIQE7vmmTZvqvU+vGidQ09vUs2dP/Pjjj7h48SLGjx+PUaNGyc3hmzp1KjIyMpCUlIQjR47g+PHjOHv2rNw5PvjgA5w8eRI7d+7E+fPnER4ejuDgYFy7dq3B9/7HH3/E4MGDMWDAAJw7dw4pKSlydc4IIe2YosfmEUII6dgiIyOZQCBgIpGIiUQiBoBJpVKWlZXFGGPs9u3bzMPDgwFgtra2LDIyku3atYvJZDKujSNHjjAA7Pbt24wxxgwNDVlmZiY7ceIEN0/o+vXrDABLT09njDGWkZEh95pa4eHhbOjQofXG2r9/f9a/f/9GXZ+Hh4fcHJmvv/6aqaurs0ePHtV7/O7du5lYLOaeJyQkMAAsOztb7rjIyEgWFhb23PMWFhYyAOzChQuMsX/nRz09l+73339nANjly5e5cz07R2jv3r1MS0vrufHWxnH37l0mFApZbm4uy83NZaqqqqywsJCFhYW9cI5QU+KsT0hICJs2bRpjjLFHjx4xZWVltnv3bm5/UVERU1dXZ1OmTGGMMXbz5k0mEAjYrVu35NoJCAhgs2fP5u5Hfff+aZ6eniwiIuK5+wkh7Rf1CBFCCGlx/v7+XE9qZmYmgoKC0L9/f9y8eRNSqRQnT57EhQsXMGXKFFRVVSEyMhLBwcFcL4KXlxdUVFSQlpaGS5cu4cmTJ+jRowd69eqFwsJC5OTkIC0tDWpqavDw8GhSjH///TcOHz7c6Hk9Y8eOxZ49e1BcXAygpqckPDwcmpqaAICjR48iICAAJiYm0NTUxKhRo3Dv3j08fvyYa0NFRQVOTk4vPM+1a9cwYsQIWFpaQktLC+bm5gBQZyjX0+3UFpK+e/fuc9t9/fXXYWZmBktLS4waNQrbtm2Ti62WgYEBQkJCkJiYiISEBISEhNQ7XLU54pTJZJg/fz4cHR2hp6cHDQ0NHD58mGvjxo0bqKyslOuZ0dbWhp2dHff8woULkMlksLW1lRvSnJ6eLjdU72X3Pjs7GwEBAc/dTwhpvygRIoQQ0uJEIhFX9NbNzQ0bN25EaWkpNmzYwB3j4OCASZMmYevWrThy5AiOHDmC9PR0ADXL3Pfu3RupqalITU2Fj48PBAIBlJWV4eXlxW339vaGiooKAHDFdQsKCuRiKSgoqLfwbkJCAsRiMd58881GXdvw4cMBAN9++y2uXbuGjIwMLpnKzc3FwIED4eTkhL179yIrKwtfffUVAKCiooJrQ01N7aVzkkJDQ3H//n1s2LABp0+fxunTp+u0A9TMXapV2+aLFgDQ1NTE2bNnsWPHDkilUsybNw/Ozs4oKiqqc+zYsWORmJiIzZs3Y+zYsS0WZ1xcHFasWIGZM2ciNTUV2dnZCAoKqtPGi5SUlEAgECArK0tuSPPly5exYsUK7riX3Xs1NbUGn5MQ0r5QIkQIIaTV8Xg88Pl8uVXInlZbYLe0tJTb5u/vj7S0NKSlpcHPz4/b3rdvX6SlpSE9PV2uoLKFhQUkEglSUlK4bY8ePcLp06frFEtmjHG1qZ7+gN4QmpqaCA8Px6ZNm5CQkABbW1v06dMHAJCVlYXq6mosW7YMHh4esLW1xe3btxvVPlCzeMCVK1cwZ84cBAQEoFu3bnjw4EGj21FRUYFMJquzXUlJCYGBgViyZAnOnz+P3NxcHDt2rM5xwcHBqKioQGVlJYKCgloszoyMDISFhWHkyJFwdnaGpaUlrl69yu23tLSEsrIyzpw5w217+PCh3DGurq6QyWS4e/cul4TXPupLhJ/HyclJ7meIENJxKCk6AEIIIR1feXk57ty5AwB48OABVq9ejZKSEoSGhmLixIkwNjZGv3790KVLF+Tn52PBggUwMDCQS1j8/f0xf/583LlzBzExMdx2X19fxMXFobi4WC4R4vF4iI6OxoIFC2BjYwMLCwvMnTsXxsbGdQqVHjt2DDk5OfjPf/7TpOsbN24c+vTpg8uXL2PmzJncdmtra1RWVmLVqlUIDQ1FRkYG1q1b1+j2dXV1IRaLsX79ekilUuTl5WHWrFmNbsfc3BwlJSVISUmBs7Mz1NXVcezYMdy4cQN9+/aFrq4uDh48iOrqarlhZrUEAgEuX77M/bul4rSxscGePXtw4sQJ6OrqIj4+HgUFBVyCrKmpicjISEyfPh16enowNDREbGws+Hw+17tja2uLiIgIjB49GsuWLYOrqysKCwuRkpICJycnhISE1Hvu2bNn49atW9iyZQsAIDY2FgEBAbCyssLw4cNRVVWFgwcPyr3PhJD2iXqECCGEtLjk5GRIpVJIpVK4u7vjzJkz2L17N/z8/BAYGIhTp04hPDwctra2GDJkCFRVVZGSkgKxWMy14enpCaFQCMYYevbsyW13d3dHZWUlt8z202bMmIHJkydj/PjxcHNzQ0lJCZKTk6Gqqip33Ndffw0vLy+89tprTbo+Hx8f2NnZ4dGjRxg9ejS33dnZGfHx8Vi8eDEcHBywbds2fP75541un8/nY+fOncjKyoKDgwM++ugjxMXFNbodLy8vTJgwAcOGDYOBgQGWLFkCHR0d7Nu3D/369UO3bt2wbt067NixA/b29vW2oaWlBS0trRaNc86cOejRoweCgoLg5+cHiURSJ3mNj4+Hp6cnBg4ciMDAQHh7e6Nbt25y721tL9+0adNgZ2eHQYMG4cyZMy+sfZSfny83n8nPzw+7d+9GUlISXFxc0K9fP7nV6wgh7RePMcYUHQQhhBBCyKsoLS2FiYkJli1b1qRCtoSQzoeGxhFCCCGk3Tl37hz++OMP9O7dGw8fPsRnn30GAAgLC1NwZISQ9oKGxhFCCCHP0b9/f7mll59+LFq0SNHhdXpLly6Fs7MzAgMDUVpaiuPHj9e7pDchhNSHhsYRQgghz3Hr1q3nrmynp6cHPT29Vo6IEEJIc6FEiBBCCCGEENLp0NA4QgghhBBCSKdDiRAhhBBCCCGk06FEiBBCCCGEENLpUCJECCGEEEII6XQoESKEEEIIIYR0OpQIEUIIIYQQQjodSoQIIYQQQgghnQ4lQoQQQgghhJBOhxIhQgghhBBCSKdDiRAhhBBCCCGk06FEiBBCCCGEENLpUCJECCGEEEII6XQoESKEEEIIIYR0OpQIEUIIIYQQQjodSoQIIYQQQgghnQ4lQoQQQgghhJBOhxIhQgghhBBCSKdDiRAhhBBCCCGk06FEiBBCCCGEENLpUCJECCGEEEII6XQoESKEEEIIIYR0OpQIEUIIIYQQQjodSoQIIYQQQgghnQ4lQoQQQgghhJBO5/8AbxJw6a+WUPYAAAAASUVORK5CYII=\n", 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "res5.set_index(\"filename\").plot.pie(y=\"lines of code\", legend=False)" ] + }, + { + "cell_type": "code", + "execution_count": 294, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 294, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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total_billtipsexsmokerdaytimesize
016.991.01FemaleNoSunDinner2
110.341.66MaleNoSunDinner3
221.013.50MaleNoSunDinner3
323.683.31MaleNoSunDinner2
424.593.61FemaleNoSunDinner4
........................
23929.035.92MaleNoSatDinner3
24027.182.00FemaleYesSatDinner2
24122.672.00MaleYesSatDinner2
24217.821.75MaleNoSatDinner2
24318.783.00FemaleNoThurDinner2
\n", + "

244 rows × 7 columns

\n", + "
" + ], + "text/plain": [ + " total_bill tip sex smoker day time size\n", + "0 16.99 1.01 Female No Sun Dinner 2\n", + "1 10.34 1.66 Male No Sun Dinner 3\n", + "2 21.01 3.50 Male No Sun Dinner 3\n", + "3 23.68 3.31 Male No Sun Dinner 2\n", + "4 24.59 3.61 Female No Sun Dinner 4\n", + ".. ... ... ... ... ... ... ...\n", + "239 29.03 5.92 Male No Sat Dinner 3\n", + "240 27.18 2.00 Female Yes Sat Dinner 2\n", + "241 22.67 2.00 Male Yes Sat Dinner 2\n", + "242 17.82 1.75 Male No Sat Dinner 2\n", + "243 18.78 3.00 Female No Thur Dinner 2\n", + "\n", + "[244 rows x 7 columns]" + ] + }, + "execution_count": 4, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "tips" + ] + }, { "cell_type": "code", "execution_count": 5, @@ -178,10 +364,20 @@ "execution_count": 6, "metadata": {}, "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/home/alberto/miniconda3/lib/python3.9/site-packages/seaborn/categorical.py:641: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.\n", + " grouped_vals = vals.groupby(grouper)\n", + "/home/alberto/miniconda3/lib/python3.9/site-packages/seaborn/categorical.py:641: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.\n", + " grouped_vals = vals.groupby(grouper)\n" + ] + }, { "data": { "text/plain": [ - "" + "" ] }, "execution_count": 6, @@ -190,46 +386,58 @@ }, { "data": { - "image/png": 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\n", 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jcR8fHy1atEhNmjTRTTfdpPnz5+vbb7/Vk08+KUlKSUnR3Llz9fHHH2vIkCFas2aNLl26pFWrVqlly5aSpCVLlqhfv36aN2+eAgICHNvesGGDRowYoeXLl2vw4MGSpI8//lj/+te/dPbsWbm5uUmSnn/+eW3cuFHr1q3TmDFjJH3/FtKqVavk5+dXq7+POo2Y//mf/1FQUFBdvgQAAI1GVFSUYmNjFRERoYSEBMXHx+vBBx/UddddJ0m6+eaby1ybLSAgQOHh4Y77Li4u8vX11dmzZyVJhw8fVlRUlCNgJCkmJkalpaU6cuSII2KysrL03nvvad26dWU+qfTZZ5+pqKhIvr6+Zeb87rvvHBfDlaTQ0NBaDxipGhEzcODAKm90/fr1kqTg4ODqTwQAACrk4uKizZs3a9euXfroo4+0ePFiPfXUU8rKypIkNWvWrMz6NputwmWlpaXVet0bbrhBvr6+WrFihe677z7HNouKitSmTRtlZmaWe06rVq0c//5xJNWmKkeMt7d3nQwAAACqzmazKSYmRjExMZo+fbpCQ0O1YcOGGm2rU6dOSk9PV3FxsSM0du7c6Xg76getW7fW+vXr1bt3bz388MN644031KxZM3Xt2lWnT59W06ZN1a5du9r48aqlyhHz07OZAQBA/crKylJGRobi4+Pl7++vrKwsnTt3Tp06ddKBAweqvb1hw4ZpxowZGjlypGbOnKlz585p/PjxGj58eJnzYSTJ399fW7du1d13362hQ4dq7dq1iouLU48ePdS/f3/Nnz9fHTp00KlTp/TPf/5TAwYM0K233lpbP3qF+Ig1AACG8PLy0o4dO3TvvfeqQ4cOmjp1qhYsWKDExMQaba9Fixb68MMPdeHCBXXr1k0PPvigYmNjtWTJkgrXDwwM1NatW3Xw4EENGzZMpaWlev/999WzZ0+NGjVKHTp00JAhQ/S///u/5SKoLtjsNfwI0bp16/TGG2/oxIkT5S5c8+mnn9bKcLWhsLBQ3t7eKigokJeX1y+uHz15VT1M9ett8HzO6hGqJGT6wVrfpin7SGI/mYL95PxM2UdS3ewnVKxGR2IWLVqkUaNGKSAgQPv27dNtt90mX19f/fvf/65xDQIAAFRHjSLmpZde0quvvqrFixfL1dVVU6ZM0ebNm/WHP/xBBQUFtT0jAABAOTWKmBMnTuiOO+6QJDVv3lwXL16UJA0fPlyvv/567U0HAABQiRpFTGBgoONywiEhIdqzZ48kKScnh6v0AgCAelGjiOnTp4/eeecdSdKoUaP0xBNP6J577tHgwYM1YMCAWh0QAACgIjX62oFXX33VcbW/5ORk+fr6ateuXbr//vv12GOP1eqAAAAAFalRxJw8ebLMVwoMGTJEQ4YMkd1uV25urkJCQmptQAAAgIrU6O2ksLAwnTt3rtzyCxcuKCws7FcPBQAA8EtqFDF2u102m63c8qKiIrm7u//qoQAAAH5Jtd5OmjhxoqTvv3xq2rRpatGiheOxa9euKSsrS126dKnVAQEAACpSrYjZt2+fpO+PxBw8eFCurq6Ox1xdXRUVFaVJkybV7oQAADRC9fmVENnPjajW+na7Xffcc49cXFz04YcflnnspZde0pNPPqlDhw6pbdu2tTlmOdWKmG3btkn6/mPVf/nLX6r0XUQAAKBhsdlsSktLU0REhF555RXHJ5NzcnI0ZcoULVu2rM4DRqrhOTFpaWmOgDl58qROnjxZq0MBAADnFhwcrL/85S+aNGmS42K3jzzyiOLj43XLLbcoMTFRHh4eCggI0PDhw/X11187nrtu3TpFRESoefPm8vX1VVxcnIqLi6s9Q40iprS0VLNnz5a3t7dCQ0MVGhqqVq1aac6cOY7rxwAAgIZt5MiRio2N1ejRo7VkyRIdOnRIr7zyivr06aNbbrlFe/fu1aZNm3TmzBk9/PDDkqS8vDwNHTpUo0eP1uHDh5WZmamBAwfW6Ir/NbpOzFNPPaXXXntNc+fOVUxMjCTp448/1syZM3Xp0iU988wzNdksAAAwzKuvvqqbb75ZO3bs0FtvvaVXXnlFt9xyi5599lnHOitWrFBwcLC+/PJLFRUV6erVqxo4cKBCQ0MlSRERETV67RpFzMqVK7V8+XLdf//9jmWRkZH6zW9+o//8z/8kYgAAaCT8/f312GOPaePGjerfv79Wr16tbdu2ycPDo9y6x48fV3x8vGJjYxUREaGEhATFx8frwQcf1HXXXVft167R20kXLlxQx44dyy3v2LGj44shAQBA49C0aVM1bfr9cZGioiL169dP+/fvL3M7evSoevbsKRcXF23evFkffPCBOnfurMWLF+umm25STk5OtV+3RhETFRWlJUuWlFu+ZMkSRUVF1WSTAACgAejatas+//xztWvXTu3bty9za9mypaTvP90UExOjWbNmad++fXJ1ddWGDRuq/Vo1ejtp/vz5uu+++7Rlyxb16NFDkrR7927l5ubq/fffr8kmAQBAA5CcnKy//vWvGjp0qKZMmSIfHx8dO3ZMa9eu1fLly7V3715lZGQoPj5e/v7+ysrK0rlz59SpU6dqv1aNvzvpyy+/1IABA5Sfn6/8/HwNHDhQR44ccZykAwAAGp+goCDt3LlT165dU3x8vCIiIjRhwgS1atVKTZo0kZeXl3bs2KF7771XHTp00NSpU7VgwQIlJiZW+7VqdCQmLCxMeXl55U7gPX/+vIKDg3Xt2rWabBYAAPw/1b2KrpVmzpypmTNnOu7feOONWr9+fYXrdurUSZs2baqV163xF0BWhC+ABAAA9aXGXwA5ffp0vgASAABYhi+ABAAARuILIAEAgJFqdGJvWlpabc8BAABQLTU6sRcAAMBqRAwAADASEQMAAIxExAAAACMRMQAAwEg1+nQSAACoWydmR9Tba4VMP1jt5yQlJWnlypVKTU3Vn//8Z8fyjRs3asCAAZVe3b82cSQGAADUiLu7u+bNm6dvvvnGktcnYgAAQI3ExcUpMDBQqampla7z1ltv6eabb5abm5vatWunBQsW1NrrEzEAAKBGXFxc9Oyzz2rx4sU6efJkucezs7P18MMPa8iQITp48KBmzpypadOmKT09vVZe39KI2bFjh/r166egoCDZbDZt3LixzON2u13Tp09XmzZt1Lx5c8XFxeno0aPWDAsAAMoZMGCAunTpohkzZpR7bOHChYqNjdW0adPUoUMHJSUlady4cXruuedq5bUtjZji4mJFRUVp6dKlFT4+f/58LVq0SC+//LKysrLUsmVLJSQk6NKlS/U8KQAAqMy8efO0cuVKHT58uMzyw4cPKyYmpsyymJgYHT16VNeuXfvVr2tpxCQmJurpp5/WgAEDyj1mt9v14osvaurUqXrggQcUGRmpVatW6dSpU+WO2AAAAOv07NlTCQkJSklJqdfXddpzYnJycnT69GnFxcU5lnl7e6t79+7avXt3pc8rKSlRYWFhmRsAAKhbc+fO1bvvvlvmf6M7deqknTt3lllv586d6tChg1xcXH71azptxJw+fVqSFBAQUGZ5QECA47GKpKamytvb23ELDg6u0zkBAIAUERGhYcOGadGiRY5l//Vf/6WMjAzNmTNHX375pVauXKklS5Zo0qRJtfKaThsxNZWSkqKCggLHLTc31+qRAABoFGbPnq3S0lLH/a5du+qNN97Q2rVrFR4erunTp2v27NlKSkqqlddz2iv2BgYGSpLOnDmjNm3aOJafOXNGXbp0qfR5bm5ucnNzq+vxAACoUzW5im59quhj0u3atVNJSUmZZYMGDdKgQYPqZAanPRITFhamwMBAZWRkOJYVFhYqKytLPXr0sHAyAADgDCw9ElNUVKRjx4457ufk5Gj//v3y8fFRSEiIJkyYoKefflo33nijwsLCNG3aNAUFBal///7WDQ0AAJyCpRGzd+9e3X333Y77EydOlCSNHDlS6enpmjJlioqLizVmzBjl5+frzjvv1KZNm+Tu7m7VyAAAwElYGjG9e/f+2W+5tNlsmj17tmbPnl2PUwEAABM47TkxAAAAP4eIAQAARiJiAACAkYgYAABgJCIGAAAYiYgBAABGImIAAICRiBgAAGAkIgYAABiJiAEAAEYiYgAAgJGIGAAAYCQiBgAAGImIAQAARiJiAACAkYgYAABgJCIGAAAYiYgBAABGImIAAICRiBgAAGAkIgYAABiJiAEAAEYiYgAAgJGIGAAAYCQiBgAAGImIAQAARiJiAACAkYgYAABgJCIGAAAYiYgBAABGImIAAICRiBgAAGAkIgYAABiJiAEAAEYiYgAAgJGIGAAAYCQiBgAAGImIAQAARiJiAACAkYgYAABgJCIGAAAYiYgBAABGImIAAICRiBgAAGAkIgYAABiJiAEAAEYiYgAAgJGIGAAAYCQiBgAAGImIAQAARiJiAACAkYgYAABgJCIGAAAYiYgBAABGImIAAICRiBgAAGAkIgYAABiJiAEAAEYiYgAAgJGIGAAAYCQiBgAAGImIAQAARiJiAACAkYgYAABgJCIGAAAYiYgBAABGImIAAICRiBgAAGAkIgYAABiJiAEAAEYiYgAAgJGIGAAAYCQiBgAAGMnpI2bmzJmy2Wxlbh07drR6LAAAYLGmVg9QFTfffLO2bNniuN+0qRFjAwCAOmREDTRt2lSBgYFWjwEAAJyI07+dJElHjx5VUFCQrr/+eg0bNkwnTpyodN2SkhIVFhaWuQEAgIbH6SOme/fuSk9P16ZNm7Rs2TLl5OTorrvu0sWLFytcPzU1Vd7e3o5bcHBwPU8MAADqg9NHTGJioh566CFFRkYqISFB77//vvLz8/XGG29UuH5KSooKCgoct9zc3HqeGAAA1Acjzon5sVatWqlDhw46duxYhY+7ubnJzc2tnqcCAAD1zemPxPxUUVGRjh8/rjZt2lg9CgAAsJDTR8ykSZO0fft2ffXVV9q1a5cGDBggFxcXDR061OrRAACAhZz+7aSTJ09q6NChOn/+vPz8/HTnnXdqz5498vPzs3o0AABgIaePmLVr11o9AgAAcEJO/3YSAABARYgYAABgJCIGAAAYiYgBAABGImIAAICRiBgAAGAkIgYAABiJiAEAAEYiYgAAgJGIGAAAYCQiBgAAGImIAQAARiJiAACAkYgYAABgJCIGAAAYiYgBAABGImIAAICRiBgAAGAkIgYAABiJiAEAAEYiYgAAgJGIGAAAYCQiBgAAGImIAQAARiJiAACAkYgYAABgJCIGAAAYiYgBAABGImIAAICRiBgAAGAkIgYAABiJiAEAAEYiYgAAgJGIGAAAYCQiBgAAGImIAQAARiJiAACAkYgYAABgJCIGAAAYiYgBAABGImIAAICRiBgAAGAkIgYAABiJiAEAAEYiYgAAgJGIGAAAYCQiBgAAGImIAQAARiJiAACAkYgYAABgJCIGAAAYiYgBAABGImIAAICRiBgAAGAkIgYAABiJiAEAAEYiYgAAgJGIGAAAYCQiBgAAGImIAQAARiJiAACAkYgYAABgJCIGAAAYiYgBAABGImIAAICRiBgAAGAkIgYAABiJiAEAAEYiYgAAgJGIGAAAYCQiBgAAGImIAQAARiJiAACAkYyImKVLl6pdu3Zyd3dX9+7d9a9//cvqkQAAgMWcPmL+8Y9/aOLEiZoxY4Y+/fRTRUVFKSEhQWfPnrV6NAAAYCGnj5iFCxfq0Ucf1ahRo9S5c2e9/PLLatGihVasWGH1aAAAwEJOHTGXL19Wdna24uLiHMuaNGmiuLg47d6928LJAACA1ZpaPcDP+frrr3Xt2jUFBASUWR4QEKAvvviiwueUlJSopKTEcb+goECSVFhYWKXXvFbyXQ2nrV8Xm12zeoQqqervvTpM2UcS+8kU7CfnZ8o+kqq3nzw9PWWz2epwmobNqSOmJlJTUzVr1qxyy4ODgy2Ypu6EWz1AVaV6Wz2BpdhPZmA/OT9j9pFUrf1UUFAgLy+vOhymYXPqiGndurVcXFx05syZMsvPnDmjwMDACp+TkpKiiRMnOu6XlpbqwoUL8vX1bTC1W1hYqODgYOXm5vJ//E6M/WQG9pPza8j7yNPT0+oRjObUEePq6qro6GhlZGSof//+kr6PkoyMDI0bN67C57i5ucnNza3MslatWtXxpNbw8vJqcP9BN0TsJzOwn5wf+wg/5dQRI0kTJ07UyJEjdeutt+q2227Tiy++qOLiYo0aNcrq0QAAgIWcPmIGDx6sc+fOafr06Tp9+rS6dOmiTZs2lTvZFwAANC5OHzGSNG7cuErfPmqM3NzcNGPGjHJvm8G5sJ/MwH5yfuwjVMZmt9vtVg8BAABQXU59sTsAAIDKEDEAAMBIRIwTy8zMlM1mU35+vtWjoBbZbDZt3LjR6jEAwHhEjEVsNtvP3mbOnGn1iKiipKSkCvfhsWPHKlw/Ly9PiYmJ9Txl43Tu3Dk9/vjjCgkJkZubmwIDA5WQkKCdO3dW6fnp6ekN9jpTzuDX7h/AiE8nNUR5eXmOf//jH//Q9OnTdeTIEccyDw8P7d27t05e+/Lly3J1da2TbTdWffv2VVpaWpllfn5+Ze7/8Huv7GrTqH2DBg3S5cuXtXLlSl1//fU6c+aMMjIydP78eatHg9g/qAV2WC4tLc3u7e1dbvm2bdvskuxbtmyxR0dH25s3b27v0aOH/YsvvnCsM3LkSPsDDzxQ5nl//OMf7b169XLc79Wrlz05Odn+xz/+0e7r62vv3bt3Hf0kjVNF+8Bur/z3Lsm+YcOG+h2yEfrmm2/skuyZmZmVrrNgwQJ7eHi4vUWLFva2bdvaH3/8cfvFixftdvv//+/vx7cZM2bU0/QN3y/tn5ycHLsk+759+8o9Z9u2bXa7vWp/I9Gw8XaSAZ566iktWLBAe/fuVdOmTTV69Ohqb2PlypVydXXVzp079fLLL9fBlKgIv3freHh4yMPDQxs3bizzzfY/1qRJEy1atEiff/65Vq5cqa1bt2rKlCmSpDvuuEMvvviivLy8lJeXp7y8PE2aNKk+f4QGrSr7p6pq428kzMTbSQZ45pln1KtXL0nSn//8Z9133326dOmS3N3dq7yNG2+8UfPnz6+rERu99957Tx4eHo77P5zzwu/dOk2bNlV6eroeffRRvfzyy+ratat69eqlIUOGKDIyUpI0YcIEx/rt2rXT008/rbFjx+qll16Sq6urvL29ZbPZeAuwDlRl/1RVbfyNhJk4EmOAH/8H3aZNG0nS2bNnq7WN6OjoWp0JZd19993av3+/47Zo0SJJ/N6tNmjQIJ06dUrvvPOO+vbtq8zMTHXt2lXp6emSpC1btig2Nla/+c1v5OnpqeHDh+v8+fP69ttvrR28kfil/VNVtfE3EmYiYgzQrFkzx79tNpuk77/NW/r+cLj9JxddvnLlSrlttGzZsg4nRMuWLdW+fXvH7Yc/pPzerefu7q577rlH06ZN065du5SUlKQZM2boq6++0m9/+1tFRkbqrbfeUnZ2tpYuXSrp+5OwUT8q2z9Nmnz/P08//vtW0d826ef/RqJhI2IM5+fnV+aTTpK0f/9+a4YBDNC5c2cVFxcrOztbpaWlWrBggW6//XZ16NBBp06dKrOuq6urrl27ZtGkjdMP++eHT/f9+O8bf9vwU0SM4fr06aO9e/dq1apVOnr0qGbMmKFDhw5ZPRZgufPnz6tPnz76+9//rgMHDignJ0dvvvmm5s+frwceeEDt27fXlStXtHjxYv373//W3/72t3InX7dr105FRUXKyMjQ119/zdtMteiX9k/z5s11++23a+7cuTp8+LC2b9+uqVOnWj02nAwRY7iEhARNmzZNU6ZMUbdu3XTx4kWNGDHC6rEAy3l4eKh79+564YUX1LNnT4WHh2vatGl69NFHtWTJEkVFRWnhwoWaN2+ewsPDtXr1aqWmppbZxh133KGxY8dq8ODB8vPz4yTtWvRL+0eSVqxYoatXryo6OloTJkzQ008/bfHUcDZ8izUAADASR2IAAICRiBgAAGAkIgYAABiJiAEAAEYiYgAAgJGIGAAAYCQiBgAAGImIAQAARiJiAFSod+/emjBhgtVjAECliBgAAGAkIgYAABiJiAGg4uJijRgxQh4eHmrTpo0WLFhQ5vG//e1vuvXWW+Xp6anAwED97ne/09mzZyVJdrtd7du31/PPP1/mOfv375fNZtOxY8fq7ecA0LgQMQA0efJkbd++XW+//bY++ugjZWZm6tNPP3U8fuXKFc2ZM0efffaZNm7cqK+++kpJSUmSJJvNptGjRystLa3MNtPS0tSzZ0+1b9++Pn8UAI0I32INNHJFRUXy9fXV3//+dz300EOSpAsXLqht27YaM2aMXnzxxXLP2bt3r7p166aLFy/Kw8NDp06dUkhIiHbt2qXbbrtNV65cUVBQkJ5//nmNHDmynn8iAI0FR2KARu748eO6fPmyunfv7ljm4+Ojm266yXE/Oztb/fr1U0hIiDw9PdWrVy9J0okTJyRJQUFBuu+++7RixQpJ0rvvvquSkhJHFAFAXSBiAPys4uJiJSQkyMvLS6tXr9Ynn3yiDRs2SJIuX77sWO/3v/+91q5dq++++05paWkaPHiwWrRoYdXYABoBIgZo5G644QY1a9ZMWVlZjmXffPONvvzyS0nSF198ofPnz2vu3Lm666671LFjR8dJvT927733qmXLllq2bJk2bdqk0aNH19vPAKBxamr1AACs5eHhoUceeUSTJ0+Wr6+v/P399dRTT6lJk+//f5yQkBC5urpq8eLFGjt2rA4dOqQ5c+aU246Li4uSkpKUkpKiG2+8UT169KjvHwVAI8ORGAB67rnndNddd6lfv36Ki4vTnXfeqejoaEmSn5+f0tPT9eabb6pz586aO3duuY9T/+CRRx7R5cuXNWrUqPocH0AjxaeTANSa//7v/1ZsbKxyc3MVEBBg9TgAGjgiBsCvVlJSonPnzmnkyJEKDAzU6tWrrR4JQCPA20kAfrXXX39doaGhys/P1/z5860eB0AjwZEYAABgJI7EAAAAIxExAADASEQMAAAwEhEDAACMRMQAAAAjETEAAMBIRAwAADASEQMAAIxExAAAACP9HxCU2vkkHBPNAAAAAElFTkSuQmCC\n", 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" ] }, - "metadata": { - "needs_background": "light" - }, + "metadata": {}, "output_type": "display_data" } ], "source": [ - "sns.catplot(x=\"day\", y=\"total_bill\", hue=\"smoker\", data=tips, kind=\"bar\")" + "sns.catplot(x=\"day\", y=\"total_bill\", hue=\"smoker\", data=tips, kind=\"bar\", errorbar=None)" ] }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 8, "metadata": {}, "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/home/alberto/miniconda3/lib/python3.9/site-packages/seaborn/categorical.py:641: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.\n", + " grouped_vals = vals.groupby(grouper)\n", + "/home/alberto/miniconda3/lib/python3.9/site-packages/seaborn/categorical.py:641: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.\n", + " grouped_vals = vals.groupby(grouper)\n", + "/home/alberto/miniconda3/lib/python3.9/site-packages/seaborn/categorical.py:641: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.\n", + " grouped_vals = vals.groupby(grouper)\n", + "/home/alberto/miniconda3/lib/python3.9/site-packages/seaborn/categorical.py:641: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.\n", + " grouped_vals = vals.groupby(grouper)\n", + "/home/alberto/miniconda3/lib/python3.9/site-packages/seaborn/categorical.py:641: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.\n", + " grouped_vals = vals.groupby(grouper)\n" + ] + }, { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 7, + "execution_count": 8, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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\n", 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\n", 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