{ "cells": [ { "cell_type": "markdown", "id": "2f9a33e4", "metadata": { "id": "2f9a33e4" }, "source": [ "# EKG-Python: Grafo de conocimiento educativo de programación en Python\n", "\n", "**Asignatura:** Trabajo de Fin de Máster. Máster Universitario en Investigación en Inteligencia Artificial (UNED)\n", "\n", "**Autor:** Adrián Bueno Junquero. **Director:** José Luis Fernández Vindel\n", "\n", "---\n", "\n", "Este cuaderno documenta en profundidad el sistema EKG-Python, un grafo de conocimiento educativo del\n", "dominio de la programación en Python y la arquitectura que lo integra con un modelo de lenguaje masivo mediante\n", "generación aumentada por recuperación sobre grafos (GraphRAG) para producir retroalimentación formativa.\n", "\n", "El proyecto cumple un doble papel, puesto que es a la vez un entregable autónomo de Web Semántica\n", "(modelado RDFS/OWL, inferencia, SPARQL, SHACL y enlazado a Wikidata) y el componente de grafo de un\n", "Trabajo de Fin de Máster sobre evaluación personalizada en la enseñanza de la programación.\n", "\n", "A lo largo del documento se alternan celdas de explicación en Markdown con celdas de código funcionales que se ejecutan\n", "sobre los artefactos reales del proyecto (`ekg-python-150.ttl`, `shapes-ekg.ttl`, las consultas `*.rq`) y dejan\n", "su salida embebida. Las partes que requieren GPU o modelos servidos localmente (el *fine tuning* QLoRA y la generación\n", "con LLM) se presentan como explicación, acompañadas de las cifras reales medidas, sin reejecutarse aquí." ] }, { "cell_type": "markdown", "id": "27193a86", "metadata": { "id": "27193a86" }, "source": [ "## 1. Resumen del proyecto, pregunta de investigación y objetivos\n", "\n", "### Pregunta de investigación\n", "\n", "El proyecto se pregunta si la integración de un grafo de conocimiento educativo (EKG) con un modelo de lenguaje\n", "masivo, mediante una arquitectura RAG, puede producir retroalimentación formativa sobre código de programación que\n", "sea a la vez fundamentada (anclada en conocimiento curricular verificable y no solo en la fluidez generativa del\n", "modelo), explicable (que exponga qué conceptos y relaciones del currículo se han movilizado para cada diagnóstico) y\n", "adaptada al nivel del estudiante (sensible a los prerrequisitos que domina o aún no domina).\n", "\n", "### Objetivos específicos\n", "\n", "- **O1.** Construir el grafo de conocimiento educativo. Modelar el dominio de la programación introductoria\n", " (conceptos, prerrequisitos, contrastes, temas, ejercicios, errores conceptuales, recursos y perfiles de estudiante)\n", " con los estándares de la Web Semántica (RDF, RDFS, OWL 2, SKOS, SHACL). Umbral declarado en el anteproyecto:\n", " ≥ 150 conceptos y ≥ 400 relaciones, conformidad SHACL e inferencia OWL con valor efectivo.\n", "- **O2.** Diseñar e implementar la arquitectura RAG sobre el grafo. Cinco componentes encadenados: analizador de\n", " código por AST, indexador de *embeddings*, motor de recuperación de subgrafos, generador de *prompts* e integración\n", " con un LLM local. Requisito: operar de extremo a extremo en despliegue local, por soberanía y privacidad de los datos.\n", "- **O3.** Validar experimentalmente la calidad pedagógica. Comparación de sistemas (con y sin grafo, con y sin\n", " *fine tuning*) mediante una rúbrica de varias dimensiones, con separación estricta entrenamiento / prueba (*held-out*).\n", "- **O4.** Desarrollar un módulo de explicabilidad y trazabilidad. Visualización del subgrafo recuperado y marcadores\n", " de procedencia que vinculan cada afirmación con su soporte en el grafo.\n", "\n", "> **Nota de integridad científica.** Los umbrales del anteproyecto (precisión ≈ 85 %, alucinaciones < 5 %, utilidad\n", "> formativa ≥ 4,0/5, trazabilidad ≈ 100 %) son metas declaradas a contrastar, no resultados conseguidos. Las cifras\n", "> que se reportan aquí son las realmente medidas, y resultan más modestas." ] }, { "cell_type": "markdown", "id": "2fde1b7d", "metadata": { "id": "2fde1b7d" }, "source": [ "### Arquitectura general\n", "\n", "El sistema se articula en cuatro grandes piezas, que ordenan también la exposición que sigue:\n", "\n", "1. Grafo educativo (EKG): ontología RDFS/OWL 2 RL en Turtle (`ekg-python-150.ttl`) con TBox, el esquema, y ABox,\n", " los 157 conceptos del dominio. Incluye razonamiento OWL 2 RL, validación SHACL y enlazado a Wikidata por `skos:exactMatch`.\n", "2. GraphRAG: enlazador de conceptos por árbol de sintaxis abstracta (AST) del código del estudiante,\n", " recuperación de subgrafos (vectorial más expansión SPARQL) y generación condicionada al subgrafo.\n", "3. Afinado QLoRA: especialización de un modelo de código de 7 000 M de parámetros mediante adaptadores de\n", " bajo rango cuantizados a 4 bits, sobre un dataset sintético anclado al grafo.\n", "4. Validación con juez: evaluación comparada de cuatro sistemas (A/B/C/D) con juez LLM, contrastada después con\n", " un panel humano de diez anotadores que mide la validez de criterio del juez automático.\n", "\n", "```\n", " Código Python del estudiante\n", " │\n", " ▼\n", " [1] Analizador AST ──► conceptos detectados (IRIs del EKG)\n", " │\n", " ▼\n", " [2] Recuperación de subgrafo ──► embeddings (nomic-embed-text) + expansión SPARQL\n", " │ (prerrequisitos, contrastes, errores, skos:broader)\n", " ▼\n", " [3] Generador de prompt estructurado ──► subgrafo serializado + encuadre formativo\n", " │\n", " ▼\n", " [4] LLM local (Ollama) ──► retroalimentación + subgrafo de procedencia (explicabilidad)\n", "```" ] }, { "cell_type": "markdown", "id": "601440c2", "metadata": { "id": "601440c2" }, "source": [ "## 2. El grafo (EKG): carga y estadísticas reales\n", "\n", "El artefacto principal es `ontologia/ekg-python-150.ttl`, un fichero Turtle que reúne en un mismo documento la TBox\n", "(esquema: clases y propiedades con sus `rdfs:domain`/`rdfs:range`) y la ABox (los individuos del dominio).\n", "\n", "Cargamos el grafo con `rdflib` y calculamos sus estadísticas estructurales: número de enunciados afirmados,\n", "clases OWL, propiedades de objeto y de datos, alineamientos a Wikidata y jerarquía SKOS. La salida queda embebida." ] }, { "cell_type": "code", "execution_count": 18, "id": "307823b2", "metadata": { "execution": { "iopub.execute_input": "2026-06-23T17:17:47.925565Z", "iopub.status.busy": "2026-06-23T17:17:47.925565Z", "iopub.status.idle": "2026-06-23T17:17:49.076020Z", "shell.execute_reply": "2026-06-23T17:17:49.076020Z" }, "colab": { "base_uri": "https://localhost:8080/" }, "id": "307823b2", "outputId": "0387f7a1-01db-46b7-e71b-3e48aec03910" }, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "escrito: ontologia/ekg-python-150.ttl 71085 bytes\n", "escrito: ontologia/shapes-ekg.ttl 6433 bytes\n", "escrito: ontologia/ejemplo-invalido.ttl 804 bytes\n", "escrito: consultas/01_conceptos_por_tema.rq 388 bytes\n", "escrito: consultas/02_inferencia_conceptos.rq 272 bytes\n", "escrito: consultas/03_prerrequisitos_transitivos.rq 375 bytes\n", "escrito: consultas/05_errores_por_concepto.rq 665 bytes\n", "escrito: consultas/06_construct_prereq_directos.rq 205 bytes\n", "escrito: consultas/07_diagnostico_envio.rq 761 bytes\n", "escrito: consultas/10_jerarquia_skos_estrella.rq 386 bytes\n", "\n", "Setup Colab completo: datos del proyecto escritos en /content\n" ] } ], "source": [ "# Setup para Google Colab: instala las dependencias del grafo y escribe en el cwd\n", "# (./ontologia y ./consultas) los ficheros reales del proyecto, embebidos en base64.\n", "# Tras ejecutarla, el notebook funciona de forma autocontenida.\n", "!pip install rdflib owlrl pyshacl networkx matplotlib -q\n", "\n", "import base64, pathlib\n", "\n", "FICHEROS = {\n", " 'ontologia/ekg-python-150.ttl': (\n", " \"QHByZWZpeCBkY3Rlcm1zOiA8aHR0cDovL3B1cmwub3JnL2RjL3Rlcm1zLz4gLg0KQHByZWZpeCBmb2FmOiA8aHR0cDovL3htbG5z\"\n", " \"LmNvbS9mb2FmLzAuMS8+IC4NCkBwcmVmaXggb3dsOiA8aHR0cDovL3d3dy53My5vcmcvMjAwMi8wNy9vd2wjPiAuDQpAcHJlZml4\"\n", " \"IHB5ZWR1OiA8aHR0cHM6Ly93M2lkLm9yZy9la2ctcHl0aG9uL3NjaGVtYSM+IC4NCkBwcmVmaXggcHlyOiA8aHR0cHM6Ly93M2lk\"\n", " \"Lm9yZy9la2ctcHl0aG9uL2lkLz4gLg0KQHByZWZpeCByZGY6IDxodHRwOi8vd3d3LnczLm9yZy8xOTk5LzAyLzIyLXJkZi1zeW50\"\n", " \"YXgtbnMjPiAuDQpAcHJlZml4IHJkZnM6IDxodHRwOi8vd3d3LnczLm9yZy8yMDAwLzAxL3JkZi1zY2hlbWEjPiAuDQpAcHJlZml4\"\n", " \"IHNjaGVtYTogPGh0dHA6Ly9zY2hlbWEub3JnLz4gLg0KQHByZWZpeCBza29zOiA8aHR0cDovL3d3dy53My5vcmcvMjAwNC8wMi9z\"\n", " \"a29zL2NvcmUjPiAuDQpAcHJlZml4IHdkOiA8aHR0cDovL3d3dy53aWtpZGF0YS5vcmcvZW50aXR5Lz4gLg0KQHByZWZpeCB4c2Q6\"\n", " \"IDxodHRwOi8vd3d3LnczLm9yZy8yMDAxL1hNTFNjaGVtYSM+IC4NCg0KcHlyOmFic3RyYWN0X2NsYXNzIGEgcHllZHU6UGFyYWRp\"\n", " \"Z21hIDsNCiAgICByZGZzOmxhYmVsICJBYnN0cmFjdCBiYXNlIGNsYXNzIkBlbiwNCiAgICAgICAgIkNsYXNlIGFic3RyYWN0YSAo\"\n", " \"QUJDKSJAZXMgOw0KICAgIHB5ZWR1OmFOaXZlbERvbWluaW8gcHlyOmF2YW56YWRvIDsNCiAgICBweWVkdTpwZXJ0ZW5lY2VBVGVt\"\n", " \"YSBweXI6VF9wb28gOw0KICAgIHB5ZWR1OnJlcXVpZXJlUHJlcnJlcXVpc2l0byBweXI6aGVyZW5jaWEgOw0KICAgIHB5ZWR1OnRp\"\n", " \"ZW5lRGlmaWN1bHRhZCA1IC4NCg0KcHlyOmFyYm9sX2VzdHIgYSBweWVkdTpFc3RydWN0dXJhRGVEYXRvcyA7DQogICAgcmRmczps\"\n", " \"YWJlbCAiVHJlZSJAZW4sDQogICAgICAgICLDgXJib2wiQGVzIDsNCiAgICBza29zOmV4YWN0TWF0Y2ggd2Q6UTIyMzY1NSA7DQog\"\n", " \"ICAgcHllZHU6YU5pdmVsRG9taW5pbyBweXI6YXZhbnphZG8gOw0KICAgIHB5ZWR1OnBlcnRlbmVjZUFUZW1hIHB5cjpUX2FsZ29y\"\n", " \"aXRtb3MgOw0KICAgIHB5ZWR1OnJlcXVpZXJlUHJlcnJlcXVpc2l0byBweXI6cmVjdXJzaW9uIDsNCiAgICBweWVkdTp0aWVuZURp\"\n", " \"ZmljdWx0YWQgNCAuDQoNCnB5cjphcmdzX2t3YXJncyBhIHB5ZWR1OlByaW5jaXBpb1RyYW5zdmVyc2FsIDsNCiAgICByZGZzOmxh\"\n", " \"YmVsICJhcmdzIGFuZCBrd2FyZ3MiQGVuLA0KICAgICAgICAiKmFyZ3MgeSAqKmt3YXJncyJAZXMgOw0KICAgIHB5ZWR1OmFOaXZl\"\n", " \"bERvbWluaW8gcHlyOmludGVybWVkaW8gOw0KICAgIHB5ZWR1OnBlcnRlbmVjZUFUZW1hIHB5cjpUX2Z1bmNpb25lcyA7DQogICAg\"\n", " \"cHllZHU6cmVxdWllcmVQcmVycmVxdWlzaXRvIHB5cjpvcGVyYWRvcl9lc3RyZWxsYSwNCiAgICAgICAgcHlyOnBhcmFtZXRyb3Mg\"\n", " \"Ow0KICAgIHB5ZWR1OnRpZW5lRGlmaWN1bHRhZCAzIC4NCg0KcHlyOmFyZ3VtZW50b3Nfbm9tYnJhZG9zIGEgcHllZHU6UHJpbmNp\"\n", " \"cGlvVHJhbnN2ZXJzYWwgOw0KICAgIHJkZnM6bGFiZWwgIktleXdvcmQgYXJndW1lbnRzIkBlbiwNCiAgICAgICAgIkFyZ3VtZW50\"\n", " \"b3MgcG9yIG5vbWJyZSJAZXMgOw0KICAgIHB5ZWR1OmFOaXZlbERvbWluaW8gcHlyOmJhc2ljbyA7DQogICAgcHllZHU6cGVydGVu\"\n", " \"ZWNlQVRlbWEgcHlyOlRfZnVuY2lvbmVzIDsNCiAgICBweWVkdTpyZXF1aWVyZVByZXJyZXF1aXNpdG8gcHlyOnBhcmFtZXRyb3Mg\"\n", " \"Ow0KICAgIHB5ZWR1OnRpZW5lRGlmaWN1bHRhZCAyIC4NCg0KcHlyOmFzaWduYWNpb24gYSBweWVkdTpQcmluY2lwaW9UcmFuc3Zl\"\n", " \"cnNhbCA7DQogICAgcmRmczpsYWJlbCAiQXNzaWdubWVudCJAZW4sDQogICAgICAgICJBc2lnbmFjacOzbiJAZXMgOw0KICAgIHB5\"\n", " \"ZWR1OmVzUHJlcnJlcXVpc2l0b0RlIHB5cjpidWNsZV9mb3IgOw0KICAgIHB5ZWR1OnBlcnRlbmVjZUFUZW1hIHB5cjpUX2Z1bmRh\"\n", " \"bWVudG9zIDsNCiAgICBweWVkdTp0aWVuZURpZmljdWx0YWQgMSAuDQoNCnB5cjphc3NlcnRfc3RtdCBhIHB5ZWR1OkVzdHJ1Y3R1\"\n", " \"cmFEZUNvbnRyb2wgOw0KICAgIHJkZnM6bGFiZWwgImFzc2VydCJAZW4sDQogICAgICAgICJhc3NlcnQiQGVzIDsNCiAgICBweWVk\"\n", " \"dTphTml2ZWxEb21pbmlvIHB5cjppbnRlcm1lZGlvIDsNCiAgICBweWVkdTpwZXJ0ZW5lY2VBVGVtYSBweXI6VF90ZXN0aW5nIDsN\"\n", " \"CiAgICBweWVkdTpyZXF1aWVyZVByZXJyZXF1aXNpdG8gcHlyOmNvbmRpY2lvbmFsIDsNCiAgICBweWVkdTp0aWVuZURpZmljdWx0\"\n", " \"YWQgMyAuDQoNCnB5cjphc3luY2lvX21vZCBhIHB5ZWR1Ok1vZHVsb0xpYnJlcmlhIDsNCiAgICByZGZzOmxhYmVsICJhc3luY2lv\"\n", " \"IkBlbiwNCiAgICAgICAgImFzeW5jaW8iQGVzIDsNCiAgICBweWVkdTphTml2ZWxEb21pbmlvIHB5cjphdmFuemFkbyA7DQogICAg\"\n", " \"cHllZHU6cGVydGVuZWNlQVRlbWEgcHlyOlRfY29uY3VycmVuY2lhIDsNCiAgICBweWVkdTpyZXF1aWVyZVByZXJyZXF1aXNpdG8g\"\n", " \"cHlyOmFzeW5jX2F3YWl0IDsNCiAgICBweWVkdTp0aWVuZURpZmljdWx0YWQgNSAuDQoNCnB5cjpiYWNrdHJhY2tpbmcgYSBweWVk\"\n", " \"dTpQcmluY2lwaW9UcmFuc3ZlcnNhbCA7DQogICAgcmRmczpsYWJlbCAiQmFja3RyYWNraW5nIkBlbiwNCiAgICAgICAgIkJhY2t0\"\n", " \"cmFja2luZyJAZXMgOw0KICAgIHB5ZWR1OmFOaXZlbERvbWluaW8gcHlyOmF2YW56YWRvIDsNCiAgICBweWVkdTpwZXJ0ZW5lY2VB\"\n", " \"VGVtYSBweXI6VF9hbGdvcml0bW9zIDsNCiAgICBweWVkdTpyZXF1aWVyZVByZXJyZXF1aXNpdG8gcHlyOnJlY3Vyc2lvbiA7DQog\"\n", " \"ICAgcHllZHU6dGllbmVEaWZpY3VsdGFkIDUgLg0KDQpweXI6YnJlYWtfY29udGludWUgYSBweWVkdTpFc3RydWN0dXJhRGVDb250\"\n", " \"cm9sIDsNCiAgICByZGZzOmxhYmVsICJicmVhayBhbmQgY29udGludWUiQGVuLA0KICAgICAgICAiYnJlYWsgeSBjb250aW51ZSJA\"\n", " \"ZXMgOw0KICAgIHB5ZWR1OmFOaXZlbERvbWluaW8gcHlyOmJhc2ljbyA7DQogICAgcHllZHU6cGVydGVuZWNlQVRlbWEgcHlyOlRf\"\n", " \"Y29udHJvbCA7DQogICAgcHllZHU6cmVxdWllcmVQcmVycmVxdWlzaXRvIHB5cjpidWNsZV9mb3IgOw0KICAgIHB5ZWR1OnRpZW5l\"\n", " \"RGlmaWN1bHRhZCAyIC4NCg0KcHlyOmNvbGxlY3Rpb25zX21vZCBhIHB5ZWR1Ok1vZHVsb0xpYnJlcmlhIDsNCiAgICByZGZzOmxh\"\n", " \"YmVsICJjb2xsZWN0aW9ucyJAZW4sDQogICAgICAgICJjb2xsZWN0aW9ucyJAZXMgOw0KICAgIHB5ZWR1OmFOaXZlbERvbWluaW8g\"\n", " \"cHlyOmludGVybWVkaW8gOw0KICAgIHB5ZWR1OnBlcnRlbmVjZUFUZW1hIHB5cjpUX21vZHVsb3MgOw0KICAgIHB5ZWR1OnJlcXVp\"\n", " \"ZXJlUHJlcnJlcXVpc2l0byBweXI6aW1wb3J0X21vZCA7DQogICAgcHllZHU6dGllbmVEaWZpY3VsdGFkIDMgLg0KDQpweXI6Y29u\"\n", " \"dGV4dF9tYW5hZ2VyIGEgcHllZHU6UGFyYWRpZ21hIDsNCiAgICByZGZzOmxhYmVsICJDb250ZXh0IG1hbmFnZXIiQGVuLA0KICAg\"\n", " \"ICAgICAiR2VzdG9yIGRlIGNvbnRleHRvIkBlcyA7DQogICAgcHllZHU6YU5pdmVsRG9taW5pbyBweXI6YXZhbnphZG8gOw0KICAg\"\n", " \"IHB5ZWR1OnBlcnRlbmVjZUFUZW1hIHB5cjpUX2NvbnRyb2wgOw0KICAgIHB5ZWR1OnJlcXVpZXJlUHJlcnJlcXVpc2l0byBweXI6\"\n", " \"Y2xhc2UsDQogICAgICAgIHB5cjp3aXRoX2NvbnRleHQgOw0KICAgIHB5ZWR1OnRpZW5lRGlmaWN1bHRhZCA1IC4NCg0KcHlyOmNv\"\n", " \"cGlhX3Byb2Z1bmRhIGEgcHllZHU6UHJpbmNpcGlvVHJhbnN2ZXJzYWwgOw0KICAgIHJkZnM6bGFiZWwgIkRlZXAgY29weSJAZW4s\"\n", " \"DQogICAgICAgICJDb3BpYSBwcm9mdW5kYSJAZXMgOw0KICAgIHB5ZWR1OmFOaXZlbERvbWluaW8gcHlyOmF2YW56YWRvIDsNCiAg\"\n", " \"ICBweWVkdTpjb250cmFzdGFDb24gcHlyOmNvcGlhX3N1cGVyZmljaWFsIDsNCiAgICBweWVkdTpwZXJ0ZW5lY2VBVGVtYSBweXI6\"\n", " \"VF90aXBvcyA7DQogICAgcHllZHU6cmVxdWllcmVQcmVycmVxdWlzaXRvIHB5cjpjb3BpYV9zdXBlcmZpY2lhbCA7DQogICAgcHll\"\n", " \"ZHU6dGllbmVEaWZpY3VsdGFkIDQgLg0KDQpweXI6Y29ycnV0aW5hIGEgcHllZHU6UHJpbmNpcGlvVHJhbnN2ZXJzYWwgOw0KICAg\"\n", " \"IHJkZnM6bGFiZWwgIkNvcm91dGluZSJAZW4sDQogICAgICAgICJDb3JydXRpbmEiQGVzIDsNCiAgICBweWVkdTphTml2ZWxEb21p\"\n", " \"bmlvIHB5cjphdmFuemFkbyA7DQogICAgcHllZHU6cGVydGVuZWNlQVRlbWEgcHlyOlRfY29uY3VycmVuY2lhIDsNCiAgICBweWVk\"\n", " \"dTpyZXF1aWVyZVByZXJyZXF1aXNpdG8gcHlyOmFzeW5jX2F3YWl0LA0KICAgICAgICBweXI6Z2VuZXJhZG9yIDsNCiAgICBweWVk\"\n", " \"dTp0aWVuZURpZmljdWx0YWQgNSAuDQoNCnB5cjpjb3VudGVyIGEgcHllZHU6RXN0cnVjdHVyYURlRGF0b3MgOw0KICAgIHJkZnM6\"\n", " \"bGFiZWwgIkNvdW50ZXIiQGVuLA0KICAgICAgICAiY29sbGVjdGlvbnMuQ291bnRlciJAZXMgOw0KICAgIHB5ZWR1OmFOaXZlbERv\"\n", " \"bWluaW8gcHlyOmludGVybWVkaW8gOw0KICAgIHB5ZWR1OnBlcnRlbmVjZUFUZW1hIHB5cjpUX2VzdHJ1Y3R1cmFzIDsNCiAgICBw\"\n", " \"eWVkdTpyZXF1aWVyZVByZXJyZXF1aXNpdG8gcHlyOmRpY2Npb25hcmlvIDsNCiAgICBweWVkdTp0aWVuZURpZmljdWx0YWQgMyAu\"\n", " \"DQoNCnB5cjpjc3ZfbW9kIGEgcHllZHU6TW9kdWxvTGlicmVyaWEgOw0KICAgIHJkZnM6bGFiZWwgImNzdiBtb2R1bGUiQGVuLA0K\"\n", " \"ICAgICAgICAiTcOzZHVsbyBjc3YiQGVzIDsNCiAgICBweWVkdTphTml2ZWxEb21pbmlvIHB5cjppbnRlcm1lZGlvIDsNCiAgICBw\"\n", " \"eWVkdTpwZXJ0ZW5lY2VBVGVtYSBweXI6VF9maWNoZXJvcyA7DQogICAgcHllZHU6cmVxdWllcmVQcmVycmVxdWlzaXRvIHB5cjps\"\n", " \"aXN0YSA7DQogICAgcHllZHU6dGllbmVEaWZpY3VsdGFkIDMgLg0KDQpweXI6ZGF0YWNsYXNzIGEgcHllZHU6UGFyYWRpZ21hIDsN\"\n", " \"CiAgICByZGZzOmxhYmVsICJEYXRhY2xhc3MiQGVuLA0KICAgICAgICAiRGF0YWNsYXNzIkBlcyA7DQogICAgcHllZHU6YU5pdmVs\"\n", " \"RG9taW5pbyBweXI6aW50ZXJtZWRpbyA7DQogICAgcHllZHU6cGVydGVuZWNlQVRlbWEgcHlyOlRfdGlwb3MgOw0KICAgIHB5ZWR1\"\n", " \"OnJlcXVpZXJlUHJlcnJlcXVpc2l0byBweXI6YW5vdGFjaW9uZXNfdGlwbywNCiAgICAgICAgcHlyOmNsYXNlIDsNCiAgICBweWVk\"\n", " \"dTp0aWVuZURpZmljdWx0YWQgMyAuDQoNCnB5cjpkZWZhdWx0ZGljdCBhIHB5ZWR1OkVzdHJ1Y3R1cmFEZURhdG9zIDsNCiAgICBy\"\n", " \"ZGZzOmxhYmVsICJkZWZhdWx0ZGljdCJAZW4sDQogICAgICAgICJjb2xsZWN0aW9ucy5kZWZhdWx0ZGljdCJAZXMgOw0KICAgIHB5\"\n", " \"ZWR1OmFOaXZlbERvbWluaW8gcHlyOmludGVybWVkaW8gOw0KICAgIHB5ZWR1OnBlcnRlbmVjZUFUZW1hIHB5cjpUX2VzdHJ1Y3R1\"\n", " \"cmFzIDsNCiAgICBweWVkdTpyZXF1aWVyZVByZXJyZXF1aXNpdG8gcHlyOmRpY2Npb25hcmlvIDsNCiAgICBweWVkdTp0aWVuZURp\"\n", " \"ZmljdWx0YWQgMyAuDQoNCnB5cjpkZXF1ZSBhIHB5ZWR1OkVzdHJ1Y3R1cmFEZURhdG9zIDsNCiAgICByZGZzOmxhYmVsICJkZXF1\"\n", " \"ZSJAZW4sDQogICAgICAgICJjb2xsZWN0aW9ucy5kZXF1ZSJAZXMgOw0KICAgIHB5ZWR1OmFOaXZlbERvbWluaW8gcHlyOmludGVy\"\n", " \"bWVkaW8gOw0KICAgIHB5ZWR1OnBlcnRlbmVjZUFUZW1hIHB5cjpUX2VzdHJ1Y3R1cmFzIDsNCiAgICBweWVkdTpyZXF1aWVyZVBy\"\n", " \"ZXJyZXF1aXNpdG8gcHlyOmxpc3RhIDsNCiAgICBweWVkdTp0aWVuZURpZmljdWx0YWQgMyAuDQoNCnB5cjpkb2NzdHJpbmcgYSBw\"\n", " \"eWVkdTpQcmluY2lwaW9UcmFuc3ZlcnNhbCA7DQogICAgcmRmczpsYWJlbCAiRG9jc3RyaW5nIkBlbiwNCiAgICAgICAgIkRvY3N0\"\n", " \"cmluZyJAZXMgOw0KICAgIHB5ZWR1OmFOaXZlbERvbWluaW8gcHlyOmJhc2ljbyA7DQogICAgcHllZHU6cGVydGVuZWNlQVRlbWEg\"\n", " \"cHlyOlRfdGVzdGluZyA7DQogICAgcHllZHU6cmVxdWllcmVQcmVycmVxdWlzaXRvIHB5cjpmdW5jaW9uIDsNCiAgICBweWVkdTp0\"\n", " \"aWVuZURpZmljdWx0YWQgMiAuDQoNCnB5cjplbHNlX2J1Y2xlIGEgcHllZHU6RXN0cnVjdHVyYURlQ29udHJvbCA7DQogICAgcmRm\"\n", " \"czpsYWJlbCAibG9vcCBlbHNlIkBlbiwNCiAgICAgICAgImVsc2UgZW4gYnVjbGVzIkBlcyA7DQogICAgcHllZHU6YU5pdmVsRG9t\"\n", " \"aW5pbyBweXI6aW50ZXJtZWRpbyA7DQogICAgcHllZHU6cGVydGVuZWNlQVRlbWEgcHlyOlRfY29udHJvbCA7DQogICAgcHllZHU6\"\n", " \"cmVxdWllcmVQcmVycmVxdWlzaXRvIHB5cjpidWNsZV9mb3IgOw0KICAgIHB5ZWR1OnRpZW5lRGlmaWN1bHRhZCAzIC4NCg0KcHly\"\n", " \"OmVuY2FkZW5hcl9leGNlcGNpb25lcyBhIHB5ZWR1OkVzdHJ1Y3R1cmFEZUNvbnRyb2wgOw0KICAgIHJkZnM6bGFiZWwgIkV4Y2Vw\"\n", " \"dGlvbiBjaGFpbmluZyJAZW4sDQogICAgICAgICJFbmNhZGVuYXIgZXhjZXBjaW9uZXMiQGVzIDsNCiAgICBweWVkdTphTml2ZWxE\"\n", " \"b21pbmlvIHB5cjphdmFuemFkbyA7DQogICAgcHllZHU6cGVydGVuZWNlQVRlbWEgcHlyOlRfZXhjZXBjaW9uZXMgOw0KICAgIHB5\"\n", " \"ZWR1OnJlcXVpZXJlUHJlcnJlcXVpc2l0byBweXI6cmFpc2VfZXhjZXBjaW9uIDsNCiAgICBweWVkdTp0aWVuZURpZmljdWx0YWQg\"\n", " \"NCAuDQoNCnB5cjplbmNvZGluZyBhIHB5ZWR1OlByaW5jaXBpb1RyYW5zdmVyc2FsIDsNCiAgICByZGZzOmxhYmVsICJUZXh0IGVu\"\n", " \"Y29kaW5nIkBlbiwNCiAgICAgICAgIkNvZGlmaWNhY2nDs24gZGUgdGV4dG8iQGVzIDsNCiAgICBweWVkdTphTml2ZWxEb21pbmlv\"\n", " \"IHB5cjphdmFuemFkbyA7DQogICAgcHllZHU6cGVydGVuZWNlQVRlbWEgcHlyOlRfc3RyaW5ncyA7DQogICAgcHllZHU6cmVxdWll\"\n", " \"cmVQcmVycmVxdWlzaXRvIHB5cjp0aXBvX2J5dGVzLA0KICAgICAgICBweXI6dGlwb19zdHIgOw0KICAgIHB5ZWR1OnRpZW5lRGlm\"\n", " \"aWN1bHRhZCA0IC4NCg0KcHlyOmVudG9ybm9fdmlydHVhbCBhIHB5ZWR1OlByaW5jaXBpb1RyYW5zdmVyc2FsIDsNCiAgICByZGZz\"\n", " \"OmxhYmVsICJWaXJ0dWFsIGVudmlyb25tZW50cyJAZW4sDQogICAgICAgICJFbnRvcm5vcyB2aXJ0dWFsZXMgKHZlbnYpIkBlcyA7\"\n", " \"DQogICAgcHllZHU6YU5pdmVsRG9taW5pbyBweXI6aW50ZXJtZWRpbyA7DQogICAgcHllZHU6cGVydGVuZWNlQVRlbWEgcHlyOlRf\"\n", " \"bW9kdWxvcyA7DQogICAgcHllZHU6cmVxdWllcmVQcmVycmVxdWlzaXRvIHB5cjpwYXF1ZXRlIDsNCiAgICBweWVkdTp0aWVuZURp\"\n", " \"ZmljdWx0YWQgMyAuDQoNCnB5cjplbnVtX3RpcG8gYSBweWVkdTpQYXJhZGlnbWEgOw0KICAgIHJkZnM6bGFiZWwgIkVudW0iQGVu\"\n", " \"LA0KICAgICAgICAiRW51bWVyYWNpw7NuIChFbnVtKSJAZXMgOw0KICAgIHB5ZWR1OmFOaXZlbERvbWluaW8gcHlyOmludGVybWVk\"\n", " \"aW8gOw0KICAgIHB5ZWR1OnBlcnRlbmVjZUFUZW1hIHB5cjpUX3RpcG9zIDsNCiAgICBweWVkdTpyZXF1aWVyZVByZXJyZXF1aXNp\"\n", " \"dG8gcHlyOmNsYXNlIDsNCiAgICBweWVkdTp0aWVuZURpZmljdWx0YWQgMyAuDQoNCnB5cjplbnVtZXJhdGVfZiBhIHB5ZWR1OkZ1\"\n", " \"bmNpb25JbnRlZ3JhZGEgOw0KICAgIHJkZnM6bGFiZWwgImVudW1lcmF0ZSJAZW4sDQogICAgICAgICJlbnVtZXJhdGUoKSJAZXMg\"\n", " \"Ow0KICAgIHB5ZWR1OmFOaXZlbERvbWluaW8gcHlyOmJhc2ljbyA7DQogICAgcHllZHU6cGVydGVuZWNlQVRlbWEgcHlyOlRfY29u\"\n", " \"dHJvbCA7DQogICAgcHllZHU6cmVxdWllcmVQcmVycmVxdWlzaXRvIHB5cjpidWNsZV9mb3IsDQogICAgICAgIHB5cjppbmRleGFj\"\n", " \"aW9uIDsNCiAgICBweWVkdTp0aWVuZURpZmljdWx0YWQgMiAuDQoNCnB5cjplbnZpb18wMDEgYSBweWVkdTpFbnZpb0VzdHVkaWFu\"\n", " \"dGUgOw0KICAgIHJkZnM6bGFiZWwgIlN1Ym1pc3Npb24gMDAxIkBlbiwNCiAgICAgICAgIkVudsOtbyAwMDEiQGVzIDsNCiAgICBk\"\n", " \"Y3Rlcm1zOmNyZWF0ZWQgIjIwMjYtMDUtMTIiXl54c2Q6ZGF0ZSA7DQogICAgcHllZHU6ZW52aWFkb1BvciBweXI6ZXN0X2FsaWNp\"\n", " \"YSA7DQogICAgcHllZHU6bWFuaWZpZXN0YUVycm9yIHB5cjplcnJfb2ZmX2J5X29uZSA7DQogICAgcHllZHU6bnVtZXJvRGVMaW5l\"\n", " \"YXMgMTggOw0KICAgIHB5ZWR1OnJlc3VlbHZlRWplcmNpY2lvIHB5cjplal9idXNxdWVkYSAuDQoNCnB5cjplbnZpb18wMDIgYSBw\"\n", " \"eWVkdTpFbnZpb0VzdHVkaWFudGUgOw0KICAgIHJkZnM6bGFiZWwgIlN1Ym1pc3Npb24gMDAyIkBlbiwNCiAgICAgICAgIkVudsOt\"\n", " \"byAwMDIiQGVzIDsNCiAgICBkY3Rlcm1zOmNyZWF0ZWQgIjIwMjYtMDUtMTQiXl54c2Q6ZGF0ZSA7DQogICAgcHllZHU6ZW52aWFk\"\n", " \"b1BvciBweXI6ZXN0X2JvcmphIDsNCiAgICBweWVkdTptYW5pZmllc3RhRXJyb3IgcHlyOmVycl9pdGVyYWNpb25fcmVjdXJzaW9u\"\n", " \"IDsNCiAgICBweWVkdTpudW1lcm9EZUxpbmVhcyAxMSA7DQogICAgcHllZHU6cmVzdWVsdmVFamVyY2ljaW8gcHlyOmVqX2ZhY3Rv\"\n", " \"cmlhbCAuDQoNCnB5cjplcnJfY29uY2F0ZW5hcl90aXBvcyBhIHB5ZWR1OkVycm9yQ29uY2VwdHVhbCA7DQogICAgcmRmczpsYWJl\"\n", " \"bCAiQ29uY2F0ZW5hdGluZyBzdHIgYW5kIGludCJAZW4sDQogICAgICAgICJDb25jYXRlbmFyIGNhZGVuYSB5IG7Dum1lcm8gKFR5\"\n", " \"cGVFcnJvcikiQGVzIDsNCiAgICBweWVkdTplcnJvclNvYnJlQ29uY2VwdG8gcHlyOmNvbnZlcnNpb25fdGlwb3MgLg0KDQpweXI6\"\n", " \"ZXJyX2RlY29yYWRvcl93cmFwcyBhIHB5ZWR1OkVycm9yQ29uY2VwdHVhbCA7DQogICAgcmRmczpsYWJlbCAiRGVjb3JhdG9yIHdp\"\n", " \"dGhvdXQgd3JhcHMiQGVuLA0KICAgICAgICAiRGVjb3JhZG9yIHNpbiBmdW5jdG9vbHMud3JhcHMiQGVzIDsNCiAgICBweWVkdTpl\"\n", " \"cnJvclNvYnJlQ29uY2VwdG8gcHlyOmRlY29yYWRvciAuDQoNCnB5cjplcnJfZXhjZXB0X2dlbmVyaWNvIGEgcHllZHU6RXJyb3JD\"\n", " \"b25jZXB0dWFsIDsNCiAgICByZGZzOmxhYmVsICJPdmVybHkgYnJvYWQgZXhjZXB0IkBlbiwNCiAgICAgICAgIkNhcHR1cmFyIEV4\"\n", " \"Y2VwdGlvbiBkZSBmb3JtYSBkZW1hc2lhZG8gYW1wbGlhIkBlcyA7DQogICAgcHllZHU6ZXJyb3JTb2JyZUNvbmNlcHRvIHB5cjpq\"\n", " \"ZXJhcnF1aWFfZXhjZXBjaW9uZXMgLg0KDQpweXI6ZXJyX2Zsb2F0X2lndWFsZGFkIGEgcHllZHU6RXJyb3JDb25jZXB0dWFsIDsN\"\n", " \"CiAgICByZGZzOmxhYmVsICJGbG9hdCBlcXVhbGl0eSBjb21wYXJpc29uIkBlbiwNCiAgICAgICAgIkNvbXBhcmFyIGZsb3RhbnRl\"\n", " \"cyBjb24gPT0iQGVzIDsNCiAgICBweWVkdTplcnJvclNvYnJlQ29uY2VwdG8gcHlyOnRpcG9fZmxvYXQgLg0KDQpweXI6ZXJyX2dl\"\n", " \"bmVyYWRvcl9hZ290YWRvIGEgcHllZHU6RXJyb3JDb25jZXB0dWFsIDsNCiAgICByZGZzOmxhYmVsICJFeGhhdXN0ZWQgZ2VuZXJh\"\n", " \"dG9yIHJldXNlIkBlbiwNCiAgICAgICAgIlJldXRpbGl6YXIgdW4gZ2VuZXJhZG9yIGFnb3RhZG8iQGVzIDsNCiAgICBweWVkdTpl\"\n", " \"cnJvclNvYnJlQ29uY2VwdG8gcHlyOmdlbmVyYWRvciAuDQoNCnB5cjplcnJfZ2lsX3BhcmFsZWxpc21vIGEgcHllZHU6RXJyb3JD\"\n", " \"b25jZXB0dWFsIDsNCiAgICByZGZzOmxhYmVsICJFeHBlY3RpbmcgdGhyZWFkcyB0byBwYXJhbGxlbGl6ZSJAZW4sDQogICAgICAg\"\n", " \"ICJFc3BlcmFyIHBhcmFsZWxpc21vIHJlYWwgY29uIGhpbG9zIChHSUwpIkBlcyA7DQogICAgcHllZHU6ZXJyb3JTb2JyZUNvbmNl\"\n", " \"cHRvIHB5cjpnaWwgLg0KDQpweXI6ZXJyX2dsb2JhbF9sb2NhbCBhIHB5ZWR1OkVycm9yQ29uY2VwdHVhbCA7DQogICAgcmRmczps\"\n", " \"YWJlbCAiR2xvYmFsIHZzIGxvY2FsIGNvbmZ1c2lvbiJAZW4sDQogICAgICAgICJDb25mdW5kaXIgdmFyaWFibGUgZ2xvYmFsIHkg\"\n", " \"bG9jYWwiQGVzIDsNCiAgICBweWVkdTplcnJvclNvYnJlQ29uY2VwdG8gcHlyOmFtYml0byAuDQoNCnB5cjplcnJfaWRlbnRpZGFk\"\n", " \"X2lndWFsZGFkIGEgcHllZHU6RXJyb3JDb25jZXB0dWFsIDsNCiAgICByZGZzOmxhYmVsICJFcXVhbGl0eSB2cyBpZGVudGl0eSBj\"\n", " \"b25mdXNpb24iQGVuLA0KICAgICAgICAiQ29uZnVzacOzbiA9PSBmcmVudGUgYSBpcyJAZXMgOw0KICAgIHB5ZWR1OmVycm9yU29i\"\n", " \"cmVDb25jZXB0byBweXI6dGlwb19ib29sIC4NCg0KcHlyOmVycl9sYXRlX2JpbmRpbmcgYSBweWVkdTpFcnJvckNvbmNlcHR1YWwg\"\n", " \"Ow0KICAgIHJkZnM6bGFiZWwgIkxvb3AgY2xvc3VyZSBsYXRlIGJpbmRpbmciQGVuLA0KICAgICAgICAiTGF0ZSBiaW5kaW5nIGVu\"\n", " \"IGNsYXVzdXJhcyBkZSBidWNsZSJAZXMgOw0KICAgIHB5ZWR1OmVycm9yU29icmVDb25jZXB0byBweXI6Y2xvc3VyZSAuDQoNCnB5\"\n", " \"cjplcnJfbW9kX2R1cmFudGVfaXRlcmFjaW9uIGEgcHllZHU6RXJyb3JDb25jZXB0dWFsIDsNCiAgICByZGZzOmxhYmVsICJNdXRh\"\n", " \"dGluZyBsaXN0IHdoaWxlIGl0ZXJhdGluZyJAZW4sDQogICAgICAgICJNb2RpZmljYXIgdW5hIGxpc3RhIG1pZW50cmFzIHNlIGl0\"\n", " \"ZXJhIkBlcyA7DQogICAgcHllZHU6ZXJyb3JTb2JyZUNvbmNlcHRvIHB5cjpidWNsZV9mb3IgLg0KDQpweXI6ZXJyX3Bhc29fcmVm\"\n", " \"ZXJlbmNpYSBhIHB5ZWR1OkVycm9yQ29uY2VwdHVhbCA7DQogICAgcmRmczpsYWJlbCAiVmFsdWUgdnMgcmVmZXJlbmNlIGNvbmZ1\"\n", " \"c2lvbiJAZW4sDQogICAgICAgICJDb25mdXNpw7NuIHBhc28gcG9yIHZhbG9yIC8gcG9yIHJlZmVyZW5jaWEiQGVzIDsNCiAgICBw\"\n", " \"eWVkdTplcnJvclNvYnJlQ29uY2VwdG8gcHlyOm11dGFiaWxpZGFkIC4NCg0KcHlyOmVycl9zZWxmX29sdmlkYWRvIGEgcHllZHU6\"\n", " \"RXJyb3JDb25jZXB0dWFsIDsNCiAgICByZGZzOmxhYmVsICJNaXNzaW5nIHNlbGYgcGFyYW1ldGVyIkBlbiwNCiAgICAgICAgIk9s\"\n", " \"dmlkYXIgc2VsZiBlbiB1biBtw6l0b2RvIkBlcyA7DQogICAgcHllZHU6ZXJyb3JTb2JyZUNvbmNlcHRvIHB5cjptZXRvZG8gLg0K\"\n", " \"DQpweXI6ZXJyX3NoYWxsb3dfY29weSBhIHB5ZWR1OkVycm9yQ29uY2VwdHVhbCA7DQogICAgcmRmczpsYWJlbCAiU2hhbGxvdyB3\"\n", " \"aGVuIGRlZXAgbmVlZGVkIkBlbiwNCiAgICAgICAgIkNvcGlhIHN1cGVyZmljaWFsIGN1YW5kbyBzZSBuZWNlc2l0YSBwcm9mdW5k\"\n", " \"YSJAZXMgOw0KICAgIHB5ZWR1OmVycm9yU29icmVDb25jZXB0byBweXI6Y29waWFfc3VwZXJmaWNpYWwgLg0KDQpweXI6ZXJyX3N1\"\n", " \"cGVyX29sdmlkYWRvIGEgcHllZHU6RXJyb3JDb25jZXB0dWFsIDsNCiAgICByZGZzOmxhYmVsICJNaXNzaW5nIHN1cGVyKCkgY2Fs\"\n", " \"bCJAZW4sDQogICAgICAgICJObyBsbGFtYXIgYSBzdXBlcigpIGVuIGxhIHN1YmNsYXNlIkBlcyA7DQogICAgcHllZHU6ZXJyb3JT\"\n", " \"b2JyZUNvbmNlcHRvIHB5cjpoZXJlbmNpYSAuDQoNCnB5cjplc2NyaWJpcl9maWNoZXJvIGEgcHllZHU6RnVuY2lvbkludGVncmFk\"\n", " \"YSA7DQogICAgcmRmczpsYWJlbCAiRmlsZSB3cml0aW5nIkBlbiwNCiAgICAgICAgIkVzY3JpdHVyYSBkZSBmaWNoZXJvcyJAZXMg\"\n", " \"Ow0KICAgIHB5ZWR1OmFOaXZlbERvbWluaW8gcHlyOmludGVybWVkaW8gOw0KICAgIHB5ZWR1OnBlcnRlbmVjZUFUZW1hIHB5cjpU\"\n", " \"X2ZpY2hlcm9zIDsNCiAgICBweWVkdTpyZXF1aWVyZVByZXJyZXF1aXNpdG8gcHlyOmFicmlyX2ZpY2hlcm8gOw0KICAgIHB5ZWR1\"\n", " \"OnRpZW5lRGlmaWN1bHRhZCAzIC4NCg0KcHlyOmV2YWxfYnVzcXVlZGFfYmIgYSBweWVkdTpFdmFsdWFjaW9uRGVDb25jZXB0byA7\"\n", " \"DQogICAgcmRmczpsYWJlbCAiQmluYXJ5LXNlYXJjaCBhc3Nlc3NtZW50IGluIGVqX2J1c3F1ZWRhIkBlbiwNCiAgICAgICAgIkV2\"\n", " \"YWx1YWNpw7NuIGRlIGLDunNxdWVkYSBiaW5hcmlhIGVuIGVqX2J1c3F1ZWRhIkBlcyA7DQogICAgcHllZHU6YU5pdmVsRG9taW5p\"\n", " \"byBweXI6YXZhbnphZG8gOw0KICAgIHB5ZWR1OmNvblBlc28gMC42IDsNCiAgICBweWVkdTplbkVqZXJjaWNpbyBweXI6ZWpfYnVz\"\n", " \"cXVlZGEgOw0KICAgIHB5ZWR1OnNvYnJlQ29uY2VwdG8gcHlyOmJ1c3F1ZWRhX2JpbmFyaWEgLg0KDQpweXI6ZXZhbGFjdF8wMSBh\"\n", " \"IHB5ZWR1OkV2YWx1YWNpb25BY3RpdmlkYWQgOw0KICAgIHJkZnM6bGFiZWwgIkFjdGl2aXR5IGFzc2Vzc21lbnQgMDEiQGVuLA0K\"\n", " \"ICAgICAgICAiRXZhbHVhY2nDs24gZGUgYWN0aXZpZGFkIDAxIkBlcyA7DQogICAgcHllZHU6ZW5GZWNoYSAiMjAyNi0wMy0wMiJe\"\n", " \"XnhzZDpkYXRlIDsNCiAgICBweWVkdTpldmFsdWFBIHB5cjplal9zdW1hX2xpc3RhIDsNCiAgICBweWVkdTpvYnR1dm9Ob3RhIDgu\"\n", " \"NSA7DQogICAgcHllZHU6cG9yRXN0dWRpYW50ZSBweXI6ZXN0X2FsaWNpYSAuDQoNCnB5cjpldmFsYWN0XzAyIGEgcHllZHU6RXZh\"\n", " \"bHVhY2lvbkFjdGl2aWRhZCA7DQogICAgcmRmczpsYWJlbCAiQWN0aXZpdHkgYXNzZXNzbWVudCAwMiJAZW4sDQogICAgICAgICJF\"\n", " \"dmFsdWFjacOzbiBkZSBhY3RpdmlkYWQgMDIiQGVzIDsNCiAgICBweWVkdTplbkZlY2hhICIyMDI2LTAzLTA5Il5eeHNkOmRhdGUg\"\n", " \"Ow0KICAgIHB5ZWR1OmV2YWx1YUEgcHlyOmVqX2ZhY3RvcmlhbCA7DQogICAgcHllZHU6b2J0dXZvTm90YSA2LjAgOw0KICAgIHB5\"\n", " \"ZWR1OnBvckVzdHVkaWFudGUgcHlyOmVzdF9ib3JqYSAuDQoNCnB5cjpldmFsYWN0XzAzIGEgcHllZHU6RXZhbHVhY2lvbkFjdGl2\"\n", " \"aWRhZCA7DQogICAgcmRmczpsYWJlbCAiQWN0aXZpdHkgYXNzZXNzbWVudCAwMyJAZW4sDQogICAgICAgICJFdmFsdWFjacOzbiBk\"\n", " \"ZSBhY3RpdmlkYWQgMDMiQGVzIDsNCiAgICBweWVkdTplbkZlY2hhICIyMDI2LTAzLTE2Il5eeHNkOmRhdGUgOw0KICAgIHB5ZWR1\"\n", " \"OmV2YWx1YUEgcHlyOmVqX2J1c3F1ZWRhIDsNCiAgICBweWVkdTpvYnR1dm9Ob3RhIDkuMCA7DQogICAgcHllZHU6cG9yRXN0dWRp\"\n", " \"YW50ZSBweXI6ZXN0X2FsaWNpYSAuDQoNCnB5cjpldmFsYWN0XzA0IGEgcHllZHU6RXZhbHVhY2lvbkFjdGl2aWRhZCA7DQogICAg\"\n", " \"cmRmczpsYWJlbCAiQWN0aXZpdHkgYXNzZXNzbWVudCAwNCJAZW4sDQogICAgICAgICJFdmFsdWFjacOzbiBkZSBhY3RpdmlkYWQg\"\n", " \"MDQiQGVzIDsNCiAgICBweWVkdTplbkZlY2hhICIyMDI2LTAzLTIzIl5eeHNkOmRhdGUgOw0KICAgIHB5ZWR1OmV2YWx1YUEgcHly\"\n", " \"OmVqX3N1bWFfbGlzdGEgOw0KICAgIHB5ZWR1Om9idHV2b05vdGEgNy41IDsNCiAgICBweWVkdTpwb3JFc3R1ZGlhbnRlIHB5cjpl\"\n", " \"c3RfYm9yamEgLg0KDQpweXI6ZXZhbGFjdF8wNSBhIHB5ZWR1OkV2YWx1YWNpb25BY3RpdmlkYWQgOw0KICAgIHJkZnM6bGFiZWwg\"\n", " \"IkFjdGl2aXR5IGFzc2Vzc21lbnQgMDUiQGVuLA0KICAgICAgICAiRXZhbHVhY2nDs24gZGUgYWN0aXZpZGFkIDA1IkBlcyA7DQog\"\n", " \"ICAgcHllZHU6ZW5GZWNoYSAiMjAyNi0wMy0zMCJeXnhzZDpkYXRlIDsNCiAgICBweWVkdTpldmFsdWFBIHB5cjplal9mYWN0b3Jp\"\n", " \"YWwgOw0KICAgIHB5ZWR1Om9idHV2b05vdGEgNS41IDsNCiAgICBweWVkdTpwb3JFc3R1ZGlhbnRlIHB5cjplc3RfYWxpY2lhIC4N\"\n", " \"Cg0KcHlyOmV2YWxhY3RfMDYgYSBweWVkdTpFdmFsdWFjaW9uQWN0aXZpZGFkIDsNCiAgICByZGZzOmxhYmVsICJBY3Rpdml0eSBh\"\n", " \"c3Nlc3NtZW50IDA2IkBlbiwNCiAgICAgICAgIkV2YWx1YWNpw7NuIGRlIGFjdGl2aWRhZCAwNiJAZXMgOw0KICAgIHB5ZWR1OmVu\"\n", " \"RmVjaGEgIjIwMjYtMDQtMDYiXl54c2Q6ZGF0ZSA7DQogICAgcHllZHU6ZXZhbHVhQSBweXI6ZWpfYnVzcXVlZGEgOw0KICAgIHB5\"\n", " \"ZWR1Om9idHV2b05vdGEgMTAuMCA7DQogICAgcHllZHU6cG9yRXN0dWRpYW50ZSBweXI6ZXN0X2JvcmphIC4NCg0KcHlyOmV2YWxh\"\n", " \"Y3RfMDcgYSBweWVkdTpFdmFsdWFjaW9uQWN0aXZpZGFkIDsNCiAgICByZGZzOmxhYmVsICJBY3Rpdml0eSBhc3Nlc3NtZW50IDA3\"\n", " \"IkBlbiwNCiAgICAgICAgIkV2YWx1YWNpw7NuIGRlIGFjdGl2aWRhZCAwNyJAZXMgOw0KICAgIHB5ZWR1OmVuRmVjaGEgIjIwMjYt\"\n", " \"MDQtMTMiXl54c2Q6ZGF0ZSA7DQogICAgcHllZHU6ZXZhbHVhQSBweXI6ZWpfc3VtYV9saXN0YSA7DQogICAgcHllZHU6b2J0dXZv\"\n", " \"Tm90YSA2LjUgOw0KICAgIHB5ZWR1OnBvckVzdHVkaWFudGUgcHlyOmVzdF9hbGljaWEgLg0KDQpweXI6ZXZhbGFjdF8wOCBhIHB5\"\n", " \"ZWR1OkV2YWx1YWNpb25BY3RpdmlkYWQgOw0KICAgIHJkZnM6bGFiZWwgIkFjdGl2aXR5IGFzc2Vzc21lbnQgMDgiQGVuLA0KICAg\"\n", " \"ICAgICAiRXZhbHVhY2nDs24gZGUgYWN0aXZpZGFkIDA4IkBlcyA7DQogICAgcHllZHU6ZW5GZWNoYSAiMjAyNi0wNC0yMCJeXnhz\"\n", " \"ZDpkYXRlIDsNCiAgICBweWVkdTpldmFsdWFBIHB5cjplal9mYWN0b3JpYWwgOw0KICAgIHB5ZWR1Om9idHV2b05vdGEgOC4wIDsN\"\n", " \"CiAgICBweWVkdTpwb3JFc3R1ZGlhbnRlIHB5cjplc3RfYm9yamEgLg0KDQpweXI6ZXZhbGFjdF8wOSBhIHB5ZWR1OkV2YWx1YWNp\"\n", " \"b25BY3RpdmlkYWQgOw0KICAgIHJkZnM6bGFiZWwgIkFjdGl2aXR5IGFzc2Vzc21lbnQgMDkiQGVuLA0KICAgICAgICAiRXZhbHVh\"\n", " \"Y2nDs24gZGUgYWN0aXZpZGFkIDA5IkBlcyA7DQogICAgcHllZHU6ZW5GZWNoYSAiMjAyNi0wNC0yNyJeXnhzZDpkYXRlIDsNCiAg\"\n", " \"ICBweWVkdTpldmFsdWFBIHB5cjplal9idXNxdWVkYSA7DQogICAgcHllZHU6b2J0dXZvTm90YSA3LjAgOw0KICAgIHB5ZWR1OnBv\"\n", " \"ckVzdHVkaWFudGUgcHlyOmVzdF9hbGljaWEgLg0KDQpweXI6ZXZhbGFjdF8xMCBhIHB5ZWR1OkV2YWx1YWNpb25BY3RpdmlkYWQg\"\n", " \"Ow0KICAgIHJkZnM6bGFiZWwgIkFjdGl2aXR5IGFzc2Vzc21lbnQgMTAiQGVuLA0KICAgICAgICAiRXZhbHVhY2nDs24gZGUgYWN0\"\n", " \"aXZpZGFkIDEwIkBlcyA7DQogICAgcHllZHU6ZW5GZWNoYSAiMjAyNi0wNS0wNCJeXnhzZDpkYXRlIDsNCiAgICBweWVkdTpldmFs\"\n", " \"dWFBIHB5cjplal9zdW1hX2xpc3RhIDsNCiAgICBweWVkdTpvYnR1dm9Ob3RhIDkuNSA7DQogICAgcHllZHU6cG9yRXN0dWRpYW50\"\n", " \"ZSBweXI6ZXN0X2JvcmphIC4NCg0KcHlyOmV4Y2VwY2lvbl9wZXJzb25hbGl6YWRhIGEgcHllZHU6UGFyYWRpZ21hIDsNCiAgICBy\"\n", " \"ZGZzOmxhYmVsICJDdXN0b20gZXhjZXB0aW9uIkBlbiwNCiAgICAgICAgIkV4Y2VwY2nDs24gcGVyc29uYWxpemFkYSJAZXMgOw0K\"\n", " \"ICAgIHB5ZWR1OmFOaXZlbERvbWluaW8gcHlyOmF2YW56YWRvIDsNCiAgICBweWVkdTpwZXJ0ZW5lY2VBVGVtYSBweXI6VF9leGNl\"\n", " \"cGNpb25lcyA7DQogICAgcHllZHU6cmVxdWllcmVQcmVycmVxdWlzaXRvIHB5cjpleGNlcGNpb24sDQogICAgICAgIHB5cjpoZXJl\"\n", " \"bmNpYSA7DQogICAgcHllZHU6dGllbmVEaWZpY3VsdGFkIDQgLg0KDQpweXI6ZmlsdGVyX2Z1bmMgYSBweWVkdTpGdW5jaW9uSW50\"\n", " \"ZWdyYWRhIDsNCiAgICByZGZzOmxhYmVsICJmaWx0ZXIiQGVuLA0KICAgICAgICAiZmlsdGVyKCkiQGVzIDsNCiAgICBweWVkdTph\"\n", " \"Tml2ZWxEb21pbmlvIHB5cjppbnRlcm1lZGlvIDsNCiAgICBweWVkdTpwZXJ0ZW5lY2VBVGVtYSBweXI6VF9mdW5jaW9uYWwgOw0K\"\n", " \"ICAgIHB5ZWR1OnJlcXVpZXJlUHJlcnJlcXVpc2l0byBweXI6ZnVuY2lvbl9vcmRlbl9zdXBlcmlvciwNCiAgICAgICAgcHlyOml0\"\n", " \"ZXJhYmxlcyA7DQogICAgcHllZHU6dGllbmVEaWZpY3VsdGFkIDMgLg0KDQpweXI6Zm9ybWF0b19zdHIgYSBweWVkdTpQcmluY2lw\"\n", " \"aW9UcmFuc3ZlcnNhbCA7DQogICAgcmRmczpsYWJlbCAiU3RyaW5nIGZvcm1hdHRpbmciQGVuLA0KICAgICAgICAiRm9ybWF0ZW8g\"\n", " \"ZGUgY2FkZW5hcyJAZXMgOw0KICAgIHB5ZWR1OmFOaXZlbERvbWluaW8gcHlyOmJhc2ljbyA7DQogICAgcHllZHU6cGVydGVuZWNl\"\n", " \"QVRlbWEgcHlyOlRfc3RyaW5ncyA7DQogICAgcHllZHU6cmVxdWllcmVQcmVycmVxdWlzaXRvIHB5cjp0aXBvX3N0ciA7DQogICAg\"\n", " \"cHllZHU6dGllbmVEaWZpY3VsdGFkIDIgLg0KDQpweXI6ZnJvbV9pbXBvcnQgYSBweWVkdTpQcmluY2lwaW9UcmFuc3ZlcnNhbCA7\"\n", " \"DQogICAgcmRmczpsYWJlbCAiZnJvbSBpbXBvcnQiQGVuLA0KICAgICAgICAiZnJvbSAuLi4gaW1wb3J0IkBlcyA7DQogICAgcHll\"\n", " \"ZHU6YU5pdmVsRG9taW5pbyBweXI6YmFzaWNvIDsNCiAgICBweWVkdTpwZXJ0ZW5lY2VBVGVtYSBweXI6VF9tb2R1bG9zIDsNCiAg\"\n", " \"ICBweWVkdTpyZXF1aWVyZVByZXJyZXF1aXNpdG8gcHlyOmltcG9ydF9tb2QgOw0KICAgIHB5ZWR1OnRpZW5lRGlmaWN1bHRhZCAy\"\n", " \"IC4NCg0KcHlyOmZzdHJpbmcgYSBweWVkdTpQcmluY2lwaW9UcmFuc3ZlcnNhbCA7DQogICAgcmRmczpsYWJlbCAiZi1zdHJpbmdz\"\n", " \"IkBlbiwNCiAgICAgICAgImYtc3RyaW5ncyJAZXMgOw0KICAgIHB5ZWR1OmFOaXZlbERvbWluaW8gcHlyOmJhc2ljbyA7DQogICAg\"\n", " \"cHllZHU6cGVydGVuZWNlQVRlbWEgcHlyOlRfc3RyaW5ncyA7DQogICAgcHllZHU6cmVxdWllcmVQcmVycmVxdWlzaXRvIHB5cjp0\"\n", " \"aXBvX3N0ciA7DQogICAgcHllZHU6dGllbmVEaWZpY3VsdGFkIDIgLg0KDQpweXI6ZnVuY2lvbl9sYW1iZGEgYSBweWVkdTpQcmlu\"\n", " \"Y2lwaW9UcmFuc3ZlcnNhbCA7DQogICAgcmRmczpsYWJlbCAiTGFtYmRhIkBlbiwNCiAgICAgICAgIkZ1bmNpw7NuIGxhbWJkYSJA\"\n", " \"ZXMgOw0KICAgIHNrb3M6ZXhhY3RNYXRjaCB3ZDpRNTY3NjEyIDsNCiAgICBweWVkdTphTml2ZWxEb21pbmlvIHB5cjppbnRlcm1l\"\n", " \"ZGlvIDsNCiAgICBweWVkdTpwZXJ0ZW5lY2VBVGVtYSBweXI6VF9mdW5jaW9uYWwgOw0KICAgIHB5ZWR1OnJlcXVpZXJlUHJlcnJl\"\n", " \"cXVpc2l0byBweXI6ZnVuY2lvbiA7DQogICAgcHllZHU6dGllbmVEaWZpY3VsdGFkIDMgLg0KDQpweXI6ZnVuY3Rvb2xzX3dyYXBz\"\n", " \"IGEgcHllZHU6TW9kdWxvTGlicmVyaWEgOw0KICAgIHJkZnM6bGFiZWwgImZ1bmN0b29scy53cmFwcyJAZW4sDQogICAgICAgICJm\"\n", " \"dW5jdG9vbHMud3JhcHMiQGVzIDsNCiAgICBweWVkdTphTml2ZWxEb21pbmlvIHB5cjphdmFuemFkbyA7DQogICAgcHllZHU6cGVy\"\n", " \"dGVuZWNlQVRlbWEgcHlyOlRfZnVuY2lvbmFsIDsNCiAgICBweWVkdTpyZXF1aWVyZVByZXJyZXF1aXNpdG8gcHlyOmRlY29yYWRv\"\n", " \"ciA7DQogICAgcHllZHU6dGllbmVEaWZpY3VsdGFkIDQgLg0KDQpweXI6aGVhcCBhIHB5ZWR1OkVzdHJ1Y3R1cmFEZURhdG9zIDsN\"\n", " \"CiAgICByZGZzOmxhYmVsICJIZWFwIkBlbiwNCiAgICAgICAgIk1vbnTDrWN1bG8gKGhlYXBxKSJAZXMgOw0KICAgIHB5ZWR1OmFO\"\n", " \"aXZlbERvbWluaW8gcHlyOmF2YW56YWRvIDsNCiAgICBweWVkdTpwZXJ0ZW5lY2VBVGVtYSBweXI6VF9lc3RydWN0dXJhcyA7DQog\"\n", " \"ICAgcHllZHU6cmVxdWllcmVQcmVycmVxdWlzaXRvIHB5cjpjb21wbGVqaWRhZCwNCiAgICAgICAgcHlyOmxpc3RhIDsNCiAgICBw\"\n", " \"eWVkdTp0aWVuZURpZmljdWx0YWQgNCAuDQoNCnB5cjppZGVudGlkYWRfb2JqZXRvcyBhIHB5ZWR1OlByaW5jaXBpb1RyYW5zdmVy\"\n", " \"c2FsIDsNCiAgICByZGZzOmxhYmVsICJPYmplY3QgaWRlbnRpdHkiQGVuLA0KICAgICAgICAiSWRlbnRpZGFkIGRlIG9iamV0b3Mg\"\n", " \"KGlzKSJAZXMgOw0KICAgIHB5ZWR1OmFOaXZlbERvbWluaW8gcHlyOmludGVybWVkaW8gOw0KICAgIHB5ZWR1OnBlcnRlbmVjZUFU\"\n", " \"ZW1hIHB5cjpUX3RpcG9zIDsNCiAgICBweWVkdTpyZXF1aWVyZVByZXJyZXF1aXNpdG8gcHlyOm11dGFibGVfaW5tdXRhYmxlIDsN\"\n", " \"CiAgICBweWVkdTp0aWVuZURpZmljdWx0YWQgMyAuDQoNCnB5cjppdGVydG9vbHNfbW9kIGEgcHllZHU6TW9kdWxvTGlicmVyaWEg\"\n", " \"Ow0KICAgIHJkZnM6bGFiZWwgIml0ZXJ0b29scyJAZW4sDQogICAgICAgICJpdGVydG9vbHMiQGVzIDsNCiAgICBweWVkdTphTml2\"\n", " \"ZWxEb21pbmlvIHB5cjphdmFuemFkbyA7DQogICAgcHllZHU6cGVydGVuZWNlQVRlbWEgcHlyOlRfZnVuY2lvbmFsIDsNCiAgICBw\"\n", " \"eWVkdTpyZXF1aWVyZVByZXJyZXF1aXNpdG8gcHlyOml0ZXJhYmxlcyA7DQogICAgcHllZHU6dGllbmVEaWZpY3VsdGFkIDQgLg0K\"\n", " \"DQpweXI6anNvbl9tb2QgYSBweWVkdTpNb2R1bG9MaWJyZXJpYSA7DQogICAgcmRmczpsYWJlbCAianNvbiBtb2R1bGUiQGVuLA0K\"\n", " \"ICAgICAgICAiTcOzZHVsbyBqc29uIkBlcyA7DQogICAgcHllZHU6YU5pdmVsRG9taW5pbyBweXI6aW50ZXJtZWRpbyA7DQogICAg\"\n", " \"cHllZHU6cGVydGVuZWNlQVRlbWEgcHlyOlRfZmljaGVyb3MgOw0KICAgIHB5ZWR1OnJlcXVpZXJlUHJlcnJlcXVpc2l0byBweXI6\"\n", " \"ZGljY2lvbmFyaW8gOw0KICAgIHB5ZWR1OnRpZW5lRGlmaWN1bHRhZCAzIC4NCg0KcHlyOmxlZXJfZmljaGVybyBhIHB5ZWR1OkZ1\"\n", " \"bmNpb25JbnRlZ3JhZGEgOw0KICAgIHJkZnM6bGFiZWwgIkZpbGUgcmVhZGluZyJAZW4sDQogICAgICAgICJMZWN0dXJhIGRlIGZp\"\n", " \"Y2hlcm9zIkBlcyA7DQogICAgcHllZHU6YU5pdmVsRG9taW5pbyBweXI6aW50ZXJtZWRpbyA7DQogICAgcHllZHU6cGVydGVuZWNl\"\n", " \"QVRlbWEgcHlyOlRfZmljaGVyb3MgOw0KICAgIHB5ZWR1OnJlcXVpZXJlUHJlcnJlcXVpc2l0byBweXI6YWJyaXJfZmljaGVybyA7\"\n", " \"DQogICAgcHllZHU6dGllbmVEaWZpY3VsdGFkIDMgLg0KDQpweXI6bWFwX2Z1bmMgYSBweWVkdTpGdW5jaW9uSW50ZWdyYWRhIDsN\"\n", " \"CiAgICByZGZzOmxhYmVsICJtYXAiQGVuLA0KICAgICAgICAibWFwKCkiQGVzIDsNCiAgICBweWVkdTphTml2ZWxEb21pbmlvIHB5\"\n", " \"cjppbnRlcm1lZGlvIDsNCiAgICBweWVkdTpwZXJ0ZW5lY2VBVGVtYSBweXI6VF9mdW5jaW9uYWwgOw0KICAgIHB5ZWR1OnJlcXVp\"\n", " \"ZXJlUHJlcnJlcXVpc2l0byBweXI6ZnVuY2lvbl9vcmRlbl9zdXBlcmlvciwNCiAgICAgICAgcHlyOml0ZXJhYmxlcyA7DQogICAg\"\n", " \"cHllZHU6dGllbmVEaWZpY3VsdGFkIDMgLg0KDQpweXI6bWF0Y2hfY2FzZSBhIHB5ZWR1OkVzdHJ1Y3R1cmFEZUNvbnRyb2wgOw0K\"\n", " \"ICAgIHJkZnM6bGFiZWwgIlN0cnVjdHVyYWwgcGF0dGVybiBtYXRjaGluZyJAZW4sDQogICAgICAgICJtYXRjaC1jYXNlIkBlcyA7\"\n", " \"DQogICAgcHllZHU6YU5pdmVsRG9taW5pbyBweXI6YXZhbnphZG8gOw0KICAgIHB5ZWR1OnBlcnRlbmVjZUFUZW1hIHB5cjpUX2Nv\"\n", " \"bnRyb2wgOw0KICAgIHB5ZWR1OnJlcXVpZXJlUHJlcnJlcXVpc2l0byBweXI6Y29uZGljaW9uYWwgOw0KICAgIHB5ZWR1OnRpZW5l\"\n", " \"RGlmaWN1bHRhZCA0IC4NCg0KcHlyOm1ldG9kb3Nfc3RyIGEgcHllZHU6RnVuY2lvbkludGVncmFkYSA7DQogICAgcmRmczpsYWJl\"\n", " \"bCAiU3RyaW5nIG1ldGhvZHMiQGVuLA0KICAgICAgICAiTcOpdG9kb3MgZGUgY2FkZW5hIkBlcyA7DQogICAgcHllZHU6YU5pdmVs\"\n", " \"RG9taW5pbyBweXI6YmFzaWNvIDsNCiAgICBweWVkdTpwZXJ0ZW5lY2VBVGVtYSBweXI6VF9zdHJpbmdzIDsNCiAgICBweWVkdTpy\"\n", " \"ZXF1aWVyZVByZXJyZXF1aXNpdG8gcHlyOnRpcG9fc3RyIDsNCiAgICBweWVkdTp0aWVuZURpZmljdWx0YWQgMiAuDQoNCnB5cjpt\"\n", " \"aXhpbiBhIHB5ZWR1OlBhcmFkaWdtYSA7DQogICAgcmRmczpsYWJlbCAiTWl4aW4iQGVuLA0KICAgICAgICAiTWl4aW4iQGVzIDsN\"\n", " \"CiAgICBweWVkdTphTml2ZWxEb21pbmlvIHB5cjphdmFuemFkbyA7DQogICAgcHllZHU6cGVydGVuZWNlQVRlbWEgcHlyOlRfcG9v\"\n", " \"IDsNCiAgICBweWVkdTpyZXF1aWVyZVByZXJyZXF1aXNpdG8gcHlyOmhlcmVuY2lhX211bHRpcGxlIDsNCiAgICBweWVkdTp0aWVu\"\n", " \"ZURpZmljdWx0YWQgNSAuDQoNCnB5cjptb2R1bG9fZGF0ZXRpbWUgYSBweWVkdTpNb2R1bG9MaWJyZXJpYSA7DQogICAgcmRmczps\"\n", " \"YWJlbCAiZGF0ZXRpbWUgbW9kdWxlIkBlbiwNCiAgICAgICAgIk3Ds2R1bG8gZGF0ZXRpbWUiQGVzIDsNCiAgICBweWVkdTphTml2\"\n", " \"ZWxEb21pbmlvIHB5cjppbnRlcm1lZGlvIDsNCiAgICBweWVkdTpwZXJ0ZW5lY2VBVGVtYSBweXI6VF9tb2R1bG9zIDsNCiAgICBw\"\n", " \"eWVkdTpyZXF1aWVyZVByZXJyZXF1aXNpdG8gcHlyOmltcG9ydF9tb2QgOw0KICAgIHB5ZWR1OnRpZW5lRGlmaWN1bHRhZCAzIC4N\"\n", " \"Cg0KcHlyOm1vZHVsb19tYXRoIGEgcHllZHU6TW9kdWxvTGlicmVyaWEgOw0KICAgIHJkZnM6bGFiZWwgIm1hdGggbW9kdWxlIkBl\"\n", " \"biwNCiAgICAgICAgIk3Ds2R1bG8gbWF0aCJAZXMgOw0KICAgIHB5ZWR1OmFOaXZlbERvbWluaW8gcHlyOmJhc2ljbyA7DQogICAg\"\n", " \"cHllZHU6cGVydGVuZWNlQVRlbWEgcHlyOlRfbW9kdWxvcyA7DQogICAgcHllZHU6cmVxdWllcmVQcmVycmVxdWlzaXRvIHB5cjpp\"\n", " \"bXBvcnRfbW9kIDsNCiAgICBweWVkdTp0aWVuZURpZmljdWx0YWQgMiAuDQoNCnB5cjptb2R1bG9fb3MgYSBweWVkdTpNb2R1bG9M\"\n", " \"aWJyZXJpYSA7DQogICAgcmRmczpsYWJlbCAib3MgbW9kdWxlIkBlbiwNCiAgICAgICAgIk3Ds2R1bG8gb3MiQGVzIDsNCiAgICBw\"\n", " \"eWVkdTphTml2ZWxEb21pbmlvIHB5cjppbnRlcm1lZGlvIDsNCiAgICBweWVkdTpwZXJ0ZW5lY2VBVGVtYSBweXI6VF9tb2R1bG9z\"\n", " \"IDsNCiAgICBweWVkdTpyZXF1aWVyZVByZXJyZXF1aXNpdG8gcHlyOmltcG9ydF9tb2QgOw0KICAgIHB5ZWR1OnRpZW5lRGlmaWN1\"\n", " \"bHRhZCAzIC4NCg0KcHlyOm1vZHVsb19yYW5kb20gYSBweWVkdTpNb2R1bG9MaWJyZXJpYSA7DQogICAgcmRmczpsYWJlbCAicmFu\"\n", " \"ZG9tIG1vZHVsZSJAZW4sDQogICAgICAgICJNw7NkdWxvIHJhbmRvbSJAZXMgOw0KICAgIHB5ZWR1OmFOaXZlbERvbWluaW8gcHly\"\n", " \"OmJhc2ljbyA7DQogICAgcHllZHU6cGVydGVuZWNlQVRlbWEgcHlyOlRfbW9kdWxvcyA7DQogICAgcHllZHU6cmVxdWllcmVQcmVy\"\n", " \"cmVxdWlzaXRvIHB5cjppbXBvcnRfbW9kIDsNCiAgICBweWVkdTp0aWVuZURpZmljdWx0YWQgMiAuDQoNCnB5cjptb2R1bG9fc3lz\"\n", " \"IGEgcHllZHU6TW9kdWxvTGlicmVyaWEgOw0KICAgIHJkZnM6bGFiZWwgInN5cyBtb2R1bGUiQGVuLA0KICAgICAgICAiTcOzZHVs\"\n", " \"byBzeXMiQGVzIDsNCiAgICBweWVkdTphTml2ZWxEb21pbmlvIHB5cjppbnRlcm1lZGlvIDsNCiAgICBweWVkdTpwZXJ0ZW5lY2VB\"\n", " \"VGVtYSBweXI6VF9tb2R1bG9zIDsNCiAgICBweWVkdTpyZXF1aWVyZVByZXJyZXF1aXNpdG8gcHlyOmltcG9ydF9tb2QgOw0KICAg\"\n", " \"IHB5ZWR1OnRpZW5lRGlmaWN1bHRhZCAzIC4NCg0KcHlyOm1ybyBhIHB5ZWR1OlBhcmFkaWdtYSA7DQogICAgcmRmczpsYWJlbCAi\"\n", " \"TWV0aG9kIHJlc29sdXRpb24gb3JkZXIiQGVuLA0KICAgICAgICAiT3JkZW4gZGUgcmVzb2x1Y2nDs24gKE1STykiQGVzIDsNCiAg\"\n", " \"ICBweWVkdTphTml2ZWxEb21pbmlvIHB5cjphdmFuemFkbyA7DQogICAgcHllZHU6cGVydGVuZWNlQVRlbWEgcHlyOlRfcG9vIDsN\"\n", " \"CiAgICBweWVkdTpyZXF1aWVyZVByZXJyZXF1aXNpdG8gcHlyOmhlcmVuY2lhX211bHRpcGxlIDsNCiAgICBweWVkdTp0aWVuZURp\"\n", " \"ZmljdWx0YWQgNSAuDQoNCnB5cjpuYW1lZHR1cGxlIGEgcHllZHU6RXN0cnVjdHVyYURlRGF0b3MgOw0KICAgIHJkZnM6bGFiZWwg\"\n", " \"Ik5hbWVkIHR1cGxlIkBlbiwNCiAgICAgICAgIm5hbWVkdHVwbGUiQGVzIDsNCiAgICBweWVkdTphTml2ZWxEb21pbmlvIHB5cjpp\"\n", " \"bnRlcm1lZGlvIDsNCiAgICBweWVkdTpwZXJ0ZW5lY2VBVGVtYSBweXI6VF90aXBvcyA7DQogICAgcHllZHU6cmVxdWllcmVQcmVy\"\n", " \"cmVxdWlzaXRvIHB5cjp0dXBsYSA7DQogICAgcHllZHU6dGllbmVEaWZpY3VsdGFkIDMgLg0KDQpweXI6cGFydGlhbCBhIHB5ZWR1\"\n", " \"Ok1vZHVsb0xpYnJlcmlhIDsNCiAgICByZGZzOmxhYmVsICJwYXJ0aWFsIkBlbiwNCiAgICAgICAgImZ1bmN0b29scy5wYXJ0aWFs\"\n", " \"IkBlcyA7DQogICAgcHllZHU6YU5pdmVsRG9taW5pbyBweXI6YXZhbnphZG8gOw0KICAgIHB5ZWR1OnBlcnRlbmVjZUFUZW1hIHB5\"\n", " \"cjpUX2Z1bmNpb25hbCA7DQogICAgcHllZHU6cmVxdWllcmVQcmVycmVxdWlzaXRvIHB5cjpmdW5jaW9uX29yZGVuX3N1cGVyaW9y\"\n", " \"IDsNCiAgICBweWVkdTp0aWVuZURpZmljdWx0YWQgNCAuDQoNCnB5cjpwYXRobGliIGEgcHllZHU6TW9kdWxvTGlicmVyaWEgOw0K\"\n", " \"ICAgIHJkZnM6bGFiZWwgInBhdGhsaWIiQGVuLA0KICAgICAgICAicGF0aGxpYiJAZXMgOw0KICAgIHB5ZWR1OmFOaXZlbERvbWlu\"\n", " \"aW8gcHlyOmludGVybWVkaW8gOw0KICAgIHB5ZWR1OnBlcnRlbmVjZUFUZW1hIHB5cjpUX2ZpY2hlcm9zIDsNCiAgICBweWVkdTpy\"\n", " \"ZXF1aWVyZVByZXJyZXF1aXNpdG8gcHlyOmFicmlyX2ZpY2hlcm8gOw0KICAgIHB5ZWR1OnRpZW5lRGlmaWN1bHRhZCAzIC4NCg0K\"\n", " \"cHlyOnBlcDggYSBweWVkdTpQcmluY2lwaW9UcmFuc3ZlcnNhbCA7DQogICAgcmRmczpsYWJlbCAiUEVQIDgiQGVuLA0KICAgICAg\"\n", " \"ICAiUEVQIDggKGVzdGlsbykiQGVzIDsNCiAgICBweWVkdTphTml2ZWxEb21pbmlvIHB5cjpiYXNpY28gOw0KICAgIHB5ZWR1OnBl\"\n", " \"cnRlbmVjZUFUZW1hIHB5cjpUX3Rlc3RpbmcgOw0KICAgIHB5ZWR1OnRpZW5lRGlmaWN1bHRhZCAyIC4NCg0KcHlyOnBpcF9tb2Qg\"\n", " \"YSBweWVkdTpQcmluY2lwaW9UcmFuc3ZlcnNhbCA7DQogICAgcmRmczpsYWJlbCAicGlwIkBlbiwNCiAgICAgICAgIkdlc3RvciBk\"\n", " \"ZSBwYXF1ZXRlcyAocGlwKSJAZXMgOw0KICAgIHB5ZWR1OmFOaXZlbERvbWluaW8gcHlyOmJhc2ljbyA7DQogICAgcHllZHU6cGVy\"\n", " \"dGVuZWNlQVRlbWEgcHlyOlRfbW9kdWxvcyA7DQogICAgcHllZHU6cmVxdWllcmVQcmVycmVxdWlzaXRvIHB5cjpwYXF1ZXRlIDsN\"\n", " \"CiAgICBweWVkdTp0aWVuZURpZmljdWx0YWQgMiAuDQoNCnB5cjpwb2xpbW9yZmlzbW8gYSBweWVkdTpQYXJhZGlnbWEgOw0KICAg\"\n", " \"IHJkZnM6bGFiZWwgIlBvbHltb3JwaGlzbSJAZW4sDQogICAgICAgICJQb2xpbW9yZmlzbW8iQGVzIDsNCiAgICBza29zOmV4YWN0\"\n", " \"TWF0Y2ggd2Q6UTMyNDAyNTIgOw0KICAgIHB5ZWR1OmFOaXZlbERvbWluaW8gcHlyOmF2YW56YWRvIDsNCiAgICBweWVkdTpwZXJ0\"\n", " \"ZW5lY2VBVGVtYSBweXI6VF9wb28gOw0KICAgIHB5ZWR1OnJlcXVpZXJlUHJlcnJlcXVpc2l0byBweXI6aGVyZW5jaWEgOw0KICAg\"\n", " \"IHB5ZWR1OnRpZW5lRGlmaWN1bHRhZCA0IC4NCg0KcHlyOnByb2dfZGluYW1pY2EgYSBweWVkdTpQcmluY2lwaW9UcmFuc3ZlcnNh\"\n", " \"bCA7DQogICAgcmRmczpsYWJlbCAiRHluYW1pYyBwcm9ncmFtbWluZyJAZW4sDQogICAgICAgICJQcm9ncmFtYWNpw7NuIGRpbsOh\"\n", " \"bWljYSJAZXMgOw0KICAgIHB5ZWR1OmFOaXZlbERvbWluaW8gcHlyOmF2YW56YWRvIDsNCiAgICBweWVkdTpwZXJ0ZW5lY2VBVGVt\"\n", " \"YSBweXI6VF9hbGdvcml0bW9zIDsNCiAgICBweWVkdTpyZXF1aWVyZVByZXJyZXF1aXNpdG8gcHlyOm1lbW9pemFjaW9uLA0KICAg\"\n", " \"ICAgICBweXI6cmVjdXJzaW9uIDsNCiAgICBweWVkdTp0aWVuZURpZmljdWx0YWQgNSAuDQoNCnB5cjpwcm9waWVkYWQgYSBweWVk\"\n", " \"dTpQYXJhZGlnbWEgOw0KICAgIHJkZnM6bGFiZWwgIlByb3BlcnR5IkBlbiwNCiAgICAgICAgIlByb3BpZWRhZCAoQHByb3BlcnR5\"\n", " \"KSJAZXMgOw0KICAgIHB5ZWR1OmFOaXZlbERvbWluaW8gcHlyOmF2YW56YWRvIDsNCiAgICBweWVkdTpwZXJ0ZW5lY2VBVGVtYSBw\"\n", " \"eXI6VF9wb28gOw0KICAgIHB5ZWR1OnJlcXVpZXJlUHJlcnJlcXVpc2l0byBweXI6ZGVjb3JhZG9yLA0KICAgICAgICBweXI6ZW5j\"\n", " \"YXBzdWxhY2lvbiA7DQogICAgcHllZHU6dGllbmVEaWZpY3VsdGFkIDQgLg0KDQpweXI6cHl0ZXN0X21vZCBhIHB5ZWR1Ok1vZHVs\"\n", " \"b0xpYnJlcmlhIDsNCiAgICByZGZzOmxhYmVsICJweXRlc3QiQGVuLA0KICAgICAgICAicHl0ZXN0IkBlcyA7DQogICAgcHllZHU6\"\n", " \"YU5pdmVsRG9taW5pbyBweXI6YXZhbnphZG8gOw0KICAgIHB5ZWR1OnBlcnRlbmVjZUFUZW1hIHB5cjpUX3Rlc3RpbmcgOw0KICAg\"\n", " \"IHB5ZWR1OnJlcXVpZXJlUHJlcnJlcXVpc2l0byBweXI6ZnVuY2lvbiA7DQogICAgcHllZHU6dGllbmVEaWZpY3VsdGFkIDQgLg0K\"\n", " \"DQpweXI6cHl0aG9uIGEgcHllZHU6UHJpbmNpcGlvVHJhbnN2ZXJzYWwgOw0KICAgIHJkZnM6bGFiZWwgIlB5dGhvbiJAZW4sDQog\"\n", " \"ICAgICAgICJQeXRob24iQGVzIDsNCiAgICBza29zOmV4YWN0TWF0Y2ggd2Q6UTI4ODY1IDsNCiAgICBza29zOnByZWZMYWJlbCAi\"\n", " \"UHl0aG9uIkBlcyA7DQogICAgcHllZHU6cGVydGVuZWNlQVRlbWEgcHlyOlRfZnVuZGFtZW50b3MgLg0KDQpweXI6cmFuZ2VfZiBh\"\n", " \"IHB5ZWR1OkZ1bmNpb25JbnRlZ3JhZGEgOw0KICAgIHJkZnM6bGFiZWwgInJhbmdlIkBlbiwNCiAgICAgICAgInJhbmdlKCkiQGVz\"\n", " \"IDsNCiAgICBweWVkdTphTml2ZWxEb21pbmlvIHB5cjpiYXNpY28gOw0KICAgIHB5ZWR1OnBlcnRlbmVjZUFUZW1hIHB5cjpUX2Nv\"\n", " \"bnRyb2wgOw0KICAgIHB5ZWR1OnJlcXVpZXJlUHJlcnJlcXVpc2l0byBweXI6YnVjbGVfZm9yIDsNCiAgICBweWVkdTp0aWVuZURp\"\n", " \"ZmljdWx0YWQgMSAuDQoNCnB5cjpyZWNfZG9jX2xpc3RhcyBhIHNjaGVtYTpMZWFybmluZ1Jlc291cmNlLA0KICAgICAgICBweWVk\"\n", " \"dTpSZWN1cnNvIDsNCiAgICByZGZzOmxhYmVsICJPZmZpY2lhbCBkb2N1bWVudGF0aW9uOiBkYXRhIHN0cnVjdHVyZXMiQGVuLA0K\"\n", " \"ICAgICAgICAiRG9jdW1lbnRhY2nDs24gb2ZpY2lhbDogZXN0cnVjdHVyYXMgZGUgZGF0b3MiQGVzIDsNCiAgICBkY3Rlcm1zOmNy\"\n", " \"ZWF0b3IgIlB5dGhvbiBTb2Z0d2FyZSBGb3VuZGF0aW9uIiA7DQogICAgZGN0ZXJtczp0aXRsZSAiRGF0YSBTdHJ1Y3R1cmVzIOKA\"\n", " \"lCBUaGUgUHl0aG9uIFR1dG9yaWFsIkBlbiA7DQogICAgc2NoZW1hOnVybCAiaHR0cHM6Ly9kb2NzLnB5dGhvbi5vcmcvMy90dXRv\"\n", " \"cmlhbC9kYXRhc3RydWN0dXJlcy5odG1sIiA7DQogICAgcHllZHU6aWx1c3RyYUNvbmNlcHRvIHB5cjpkaWNjaW9uYXJpbywNCiAg\"\n", " \"ICAgICAgcHlyOmxpc3RhIC4NCg0KcHlyOnJlZHVjZV9mdW5jIGEgcHllZHU6RnVuY2lvbkludGVncmFkYSA7DQogICAgcmRmczps\"\n", " \"YWJlbCAicmVkdWNlIkBlbiwNCiAgICAgICAgImZ1bmN0b29scy5yZWR1Y2UoKSJAZXMgOw0KICAgIHB5ZWR1OmFOaXZlbERvbWlu\"\n", " \"aW8gcHlyOmF2YW56YWRvIDsNCiAgICBweWVkdTpwZXJ0ZW5lY2VBVGVtYSBweXI6VF9mdW5jaW9uYWwgOw0KICAgIHB5ZWR1OnJl\"\n", " \"cXVpZXJlUHJlcnJlcXVpc2l0byBweXI6ZnVuY2lvbl9vcmRlbl9zdXBlcmlvciA7DQogICAgcHllZHU6dGllbmVEaWZpY3VsdGFk\"\n", " \"IDQgLg0KDQpweXI6cmVnZXggYSBweWVkdTpNb2R1bG9MaWJyZXJpYSA7DQogICAgcmRmczpsYWJlbCAiUmVndWxhciBleHByZXNz\"\n", " \"aW9ucyJAZW4sDQogICAgICAgICJFeHByZXNpb25lcyByZWd1bGFyZXMgKHJlKSJAZXMgOw0KICAgIHNrb3M6ZXhhY3RNYXRjaCB3\"\n", " \"ZDpRMTg1NjEyIDsNCiAgICBweWVkdTphTml2ZWxEb21pbmlvIHB5cjphdmFuemFkbyA7DQogICAgcHllZHU6cGVydGVuZWNlQVRl\"\n", " \"bWEgcHlyOlRfc3RyaW5ncyA7DQogICAgcHllZHU6cmVxdWllcmVQcmVycmVxdWlzaXRvIHB5cjp0aXBvX3N0ciA7DQogICAgcHll\"\n", " \"ZHU6dGllbmVEaWZpY3VsdGFkIDUgLg0KDQpweXI6cmV0b3Jub19tdWx0aXBsZSBhIHB5ZWR1OlByaW5jaXBpb1RyYW5zdmVyc2Fs\"\n", " \"IDsNCiAgICByZGZzOmxhYmVsICJNdWx0aXBsZSByZXR1cm4iQGVuLA0KICAgICAgICAiUmV0b3JubyBtw7psdGlwbGUiQGVzIDsN\"\n", " \"CiAgICBweWVkdTphTml2ZWxEb21pbmlvIHB5cjpiYXNpY28gOw0KICAgIHB5ZWR1OnBlcnRlbmVjZUFUZW1hIHB5cjpUX2Z1bmNp\"\n", " \"b25lcyA7DQogICAgcHllZHU6cmVxdWllcmVQcmVycmVxdWlzaXRvIHB5cjpmdW5jaW9uLA0KICAgICAgICBweXI6dHVwbGEgOw0K\"\n", " \"ICAgIHB5ZWR1OnRpZW5lRGlmaWN1bHRhZCAyIC4NCg0KcHlyOnNlbGZfcGFyYW0gYSBweWVkdTpQYXJhZGlnbWEgOw0KICAgIHJk\"\n", " \"ZnM6bGFiZWwgInNlbGYiQGVuLA0KICAgICAgICAiUGFyw6FtZXRybyBzZWxmIkBlcyA7DQogICAgcHllZHU6YU5pdmVsRG9taW5p\"\n", " \"byBweXI6aW50ZXJtZWRpbyA7DQogICAgcHllZHU6cGVydGVuZWNlQVRlbWEgcHlyOlRfcG9vIDsNCiAgICBweWVkdTpyZXF1aWVy\"\n", " \"ZVByZXJyZXF1aXNpdG8gcHlyOm1ldG9kbyA7DQogICAgcHllZHU6dGllbmVEaWZpY3VsdGFkIDMgLg0KDQpweXI6c29icmVjYXJn\"\n", " \"YV9vcGVyYWRvcmVzIGEgcHllZHU6UGFyYWRpZ21hIDsNCiAgICByZGZzOmxhYmVsICJPcGVyYXRvciBvdmVybG9hZGluZyJAZW4s\"\n", " \"DQogICAgICAgICJTb2JyZWNhcmdhIGRlIG9wZXJhZG9yZXMiQGVzIDsNCiAgICBweWVkdTphTml2ZWxEb21pbmlvIHB5cjphdmFu\"\n", " \"emFkbyA7DQogICAgcHllZHU6cGVydGVuZWNlQVRlbWEgcHlyOlRfcG9vIDsNCiAgICBweWVkdTpyZXF1aWVyZVByZXJyZXF1aXNp\"\n", " \"dG8gcHlyOmR1bmRlciA7DQogICAgcHllZHU6dGllbmVEaWZpY3VsdGFkIDUgLg0KDQpweXI6c29ydGVkX2YgYSBweWVkdTpGdW5j\"\n", " \"aW9uSW50ZWdyYWRhIDsNCiAgICByZGZzOmxhYmVsICJzb3J0ZWQvc29ydCJAZW4sDQogICAgICAgICJzb3J0ZWQoKSB5IHNvcnQo\"\n", " \"KSJAZXMgOw0KICAgIHB5ZWR1OmFOaXZlbERvbWluaW8gcHlyOmJhc2ljbyA7DQogICAgcHllZHU6cGVydGVuZWNlQVRlbWEgcHly\"\n", " \"OlRfYWxnb3JpdG1vcyA7DQogICAgcHllZHU6cmVxdWllcmVQcmVycmVxdWlzaXRvIHB5cjpsaXN0YSA7DQogICAgcHllZHU6dGll\"\n", " \"bmVEaWZpY3VsdGFkIDIgLg0KDQpweXI6c3RtdF9vZmZieW9uZSBhIHJkZjpTdGF0ZW1lbnQgOw0KICAgIHJkZnM6bGFiZWwgIlBy\"\n", " \"b3ZlbmFuY2UgKHJlaWZpY2F0aW9uKTogb2ZmLWJ5LW9uZSBvbiBpbmRleGluZyBwZXIgS2V1bmluZyBldCBhbC4iQGVuLA0KICAg\"\n", " \"ICAgICAiUHJvY2VkZW5jaWEgKHJlaWZpY2FjacOzbik6IG9mZi1ieS1vbmUgc29icmUgaW5kZXhhY2nDs24gc2Vnw7puIEtldW5p\"\n", " \"bmcgZXQgYWwuIkBlcyA7DQogICAgZGN0ZXJtczpzb3VyY2UgcHlyOnJlZl9rZXVuaW5nMjAxOSA7DQogICAgcmRmOm9iamVjdCBw\"\n", " \"eXI6aW5kZXhhY2lvbiA7DQogICAgcmRmOnByZWRpY2F0ZSBweWVkdTplcnJvclNvYnJlQ29uY2VwdG8gOw0KICAgIHJkZjpzdWJq\"\n", " \"ZWN0IHB5cjplcnJfb2ZmX2J5X29uZSA7DQogICAgcmRmczpjb21tZW50ICJQcm9jZWRlbmNpYSBkZWwgZW51bmNpYWRvIChwYXRy\"\n", " \"w7NuIGRlIHJlaWZpY2FjacOzbiBkZWwgbWF0ZXJpYWwgZG9jZW50ZSkuIkBlcyAuDQoNCnB5cjpzdHJfcmVwciBhIHB5ZWR1OlBh\"\n", " \"cmFkaWdtYSA7DQogICAgcmRmczpsYWJlbCAic3RyIGFuZCByZXByIkBlbiwNCiAgICAgICAgIl9fc3RyX18geSBfX3JlcHJfXyJA\"\n", " \"ZXMgOw0KICAgIHB5ZWR1OmFOaXZlbERvbWluaW8gcHlyOmF2YW56YWRvIDsNCiAgICBweWVkdTpwZXJ0ZW5lY2VBVGVtYSBweXI6\"\n", " \"VF9wb28gOw0KICAgIHB5ZWR1OnJlcXVpZXJlUHJlcnJlcXVpc2l0byBweXI6ZHVuZGVyIDsNCiAgICBweWVkdTp0aWVuZURpZmlj\"\n", " \"dWx0YWQgNCAuDQoNCnB5cjpzdXBlcl9jYWxsIGEgcHllZHU6UGFyYWRpZ21hIDsNCiAgICByZGZzOmxhYmVsICJzdXBlciJAZW4s\"\n", " \"DQogICAgICAgICJzdXBlcigpIkBlcyA7DQogICAgcHllZHU6YU5pdmVsRG9taW5pbyBweXI6YXZhbnphZG8gOw0KICAgIHB5ZWR1\"\n", " \"OnBlcnRlbmVjZUFUZW1hIHB5cjpUX3BvbyA7DQogICAgcHllZHU6cmVxdWllcmVQcmVycmVxdWlzaXRvIHB5cjpoZXJlbmNpYSA7\"\n", " \"DQogICAgcHllZHU6dGllbmVEaWZpY3VsdGFkIDQgLg0KDQpweXI6dGFibGFfaGFzaCBhIHB5ZWR1OkVzdHJ1Y3R1cmFEZURhdG9z\"\n", " \"IDsNCiAgICByZGZzOmxhYmVsICJIYXNoIHRhYmxlIkBlbiwNCiAgICAgICAgIlRhYmxhIGhhc2giQGVzIDsNCiAgICBza29zOmV4\"\n", " \"YWN0TWF0Y2ggd2Q6UTIwNzQ0MCA7DQogICAgcHllZHU6YU5pdmVsRG9taW5pbyBweXI6YXZhbnphZG8gOw0KICAgIHB5ZWR1OnBl\"\n", " \"cnRlbmVjZUFUZW1hIHB5cjpUX2FsZ29yaXRtb3MgOw0KICAgIHB5ZWR1OnJlcXVpZXJlUHJlcnJlcXVpc2l0byBweXI6ZGljY2lv\"\n", " \"bmFyaW8gOw0KICAgIHB5ZWR1OnRpZW5lRGlmaWN1bHRhZCA0IC4NCg0KcHlyOnRlcm5hcmlvIGEgcHllZHU6RXN0cnVjdHVyYURl\"\n", " \"Q29udHJvbCA7DQogICAgcmRmczpsYWJlbCAiVGVybmFyeSBvcGVyYXRvciJAZW4sDQogICAgICAgICJPcGVyYWRvciB0ZXJuYXJp\"\n", " \"byJAZXMgOw0KICAgIHB5ZWR1OmFOaXZlbERvbWluaW8gcHlyOmJhc2ljbyA7DQogICAgcHllZHU6cGVydGVuZWNlQVRlbWEgcHly\"\n", " \"OlRfY29udHJvbCA7DQogICAgcHllZHU6cmVxdWllcmVQcmVycmVxdWlzaXRvIHB5cjpjb25kaWNpb25hbCA7DQogICAgcHllZHU6\"\n", " \"dGllbmVEaWZpY3VsdGFkIDIgLg0KDQpweXI6dGlwb19jb21wbGV4IGEgcHllZHU6VGlwb0RlRGF0byA7DQogICAgcmRmczpsYWJl\"\n", " \"bCAiQ29tcGxleCJAZW4sDQogICAgICAgICJDb21wbGVqbyAoY29tcGxleCkiQGVzIDsNCiAgICBweWVkdTphTml2ZWxEb21pbmlv\"\n", " \"IHB5cjppbnRlcm1lZGlvIDsNCiAgICBweWVkdTpwZXJ0ZW5lY2VBVGVtYSBweXI6VF90aXBvcyA7DQogICAgcHllZHU6cmVxdWll\"\n", " \"cmVQcmVycmVxdWlzaXRvIHB5cjp0aXBvX2Zsb2F0IDsNCiAgICBweWVkdTp0aWVuZURpZmljdWx0YWQgMyAuDQoNCnB5cjp0cnV0\"\n", " \"aGluZXNzIGEgcHllZHU6UHJpbmNpcGlvVHJhbnN2ZXJzYWwgOw0KICAgIHJkZnM6bGFiZWwgIlRydXRoaW5lc3MiQGVuLA0KICAg\"\n", " \"ICAgICAiVmFsb3JlcyBkZSB2ZXJkYWQiQGVzIDsNCiAgICBweWVkdTphTml2ZWxEb21pbmlvIHB5cjpiYXNpY28gOw0KICAgIHB5\"\n", " \"ZWR1OnBlcnRlbmVjZUFUZW1hIHB5cjpUX3RpcG9zIDsNCiAgICBweWVkdTpyZXF1aWVyZVByZXJyZXF1aXNpdG8gcHlyOnRpcG9f\"\n", " \"Ym9vbCA7DQogICAgcHllZHU6dGllbmVEaWZpY3VsdGFkIDIgLg0KDQpweXI6dHJ5X2V4Y2VwdF9lbHNlIGEgcHllZHU6RXN0cnVj\"\n", " \"dHVyYURlQ29udHJvbCA7DQogICAgcmRmczpsYWJlbCAidHJ5L2V4Y2VwdC9lbHNlL2ZpbmFsbHkiQGVuLA0KICAgICAgICAidHJ5\"\n", " \"L2V4Y2VwdC9lbHNlL2ZpbmFsbHkiQGVzIDsNCiAgICBweWVkdTphTml2ZWxEb21pbmlvIHB5cjppbnRlcm1lZGlvIDsNCiAgICBw\"\n", " \"eWVkdTpwZXJ0ZW5lY2VBVGVtYSBweXI6VF9leGNlcGNpb25lcyA7DQogICAgcHllZHU6cmVxdWllcmVQcmVycmVxdWlzaXRvIHB5\"\n", " \"cjpleGNlcGNpb24gOw0KICAgIHB5ZWR1OnRpZW5lRGlmaWN1bHRhZCAzIC4NCg0KcHlyOnR5cGVfY2hlY2tpbmcgYSBweWVkdTpQ\"\n", " \"cmluY2lwaW9UcmFuc3ZlcnNhbCA7DQogICAgcmRmczpsYWJlbCAiVHlwZSBjaGVja2luZyJAZW4sDQogICAgICAgICJDb21wcm9i\"\n", " \"YWNpw7NuIGRlIHRpcG9zIChteXB5KSJAZXMgOw0KICAgIHB5ZWR1OmFOaXZlbERvbWluaW8gcHlyOmF2YW56YWRvIDsNCiAgICBw\"\n", " \"eWVkdTpwZXJ0ZW5lY2VBVGVtYSBweXI6VF90ZXN0aW5nIDsNCiAgICBweWVkdTpyZXF1aWVyZVByZXJyZXF1aXNpdG8gcHlyOmFu\"\n", " \"b3RhY2lvbmVzX3RpcG8gOw0KICAgIHB5ZWR1OnRpZW5lRGlmaWN1bHRhZCA0IC4NCg0KcHlyOnR5cGluZ19nZW5lcmljcyBhIHB5\"\n", " \"ZWR1OlBhcmFkaWdtYSA7DQogICAgcmRmczpsYWJlbCAiR2VuZXJpY3MiQGVuLA0KICAgICAgICAiR2Vuw6lyaWNvcyAoVHlwZVZh\"\n", " \"cikiQGVzIDsNCiAgICBweWVkdTphTml2ZWxEb21pbmlvIHB5cjphdmFuemFkbyA7DQogICAgcHllZHU6cGVydGVuZWNlQVRlbWEg\"\n", " \"cHlyOlRfdGlwb3MgOw0KICAgIHB5ZWR1OnJlcXVpZXJlUHJlcnJlcXVpc2l0byBweXI6YW5vdGFjaW9uZXNfdGlwbywNCiAgICAg\"\n", " \"ICAgcHlyOmNsYXNlIDsNCiAgICBweWVkdTp0aWVuZURpZmljdWx0YWQgNCAuDQoNCnB5cjp0eXBpbmdfb3B0aW9uYWwgYSBweWVk\"\n", " \"dTpQcmluY2lwaW9UcmFuc3ZlcnNhbCA7DQogICAgcmRmczpsYWJlbCAiT3B0aW9uYWwiQGVuLA0KICAgICAgICAidHlwaW5nLk9w\"\n", " \"dGlvbmFsIkBlcyA7DQogICAgcHllZHU6YU5pdmVsRG9taW5pbyBweXI6aW50ZXJtZWRpbyA7DQogICAgcHllZHU6cGVydGVuZWNl\"\n", " \"QVRlbWEgcHlyOlRfdGlwb3MgOw0KICAgIHB5ZWR1OnJlcXVpZXJlUHJlcnJlcXVpc2l0byBweXI6YW5vdGFjaW9uZXNfdGlwbywN\"\n", " \"CiAgICAgICAgcHlyOnRpcG9fbm9uZSA7DQogICAgcHllZHU6dGllbmVEaWZpY3VsdGFkIDMgLg0KDQpweXI6dHlwaW5nX3VuaW9u\"\n", " \"IGEgcHllZHU6UHJpbmNpcGlvVHJhbnN2ZXJzYWwgOw0KICAgIHJkZnM6bGFiZWwgIlVuaW9uIkBlbiwNCiAgICAgICAgInR5cGlu\"\n", " \"Zy5VbmlvbiJAZXMgOw0KICAgIHB5ZWR1OmFOaXZlbERvbWluaW8gcHlyOmludGVybWVkaW8gOw0KICAgIHB5ZWR1OnBlcnRlbmVj\"\n", " \"ZUFUZW1hIHB5cjpUX3RpcG9zIDsNCiAgICBweWVkdTpyZXF1aWVyZVByZXJyZXF1aXNpdG8gcHlyOmFub3RhY2lvbmVzX3RpcG8g\"\n", " \"Ow0KICAgIHB5ZWR1OnRpZW5lRGlmaWN1bHRhZCAzIC4NCg0KcHlyOnVuaXR0ZXN0X21vZCBhIHB5ZWR1Ok1vZHVsb0xpYnJlcmlh\"\n", " \"IDsNCiAgICByZGZzOmxhYmVsICJ1bml0dGVzdCJAZW4sDQogICAgICAgICJ1bml0dGVzdCJAZXMgOw0KICAgIHB5ZWR1OmFOaXZl\"\n", " \"bERvbWluaW8gcHlyOmF2YW56YWRvIDsNCiAgICBweWVkdTpwZXJ0ZW5lY2VBVGVtYSBweXI6VF90ZXN0aW5nIDsNCiAgICBweWVk\"\n", " \"dTpyZXF1aWVyZVByZXJyZXF1aXNpdG8gcHlyOmNsYXNlLA0KICAgICAgICBweXI6ZnVuY2lvbiA7DQogICAgcHllZHU6dGllbmVE\"\n", " \"aWZpY3VsdGFkIDQgLg0KDQpweXI6dmFsb3JfcG9yX2RlZmVjdG8gYSBweWVkdTpQcmluY2lwaW9UcmFuc3ZlcnNhbCA7DQogICAg\"\n", " \"cmRmczpsYWJlbCAiRGVmYXVsdCBhcmd1bWVudHMiQGVuLA0KICAgICAgICAiQXJndW1lbnRvcyBwb3IgZGVmZWN0byJAZXMgOw0K\"\n", " \"ICAgIHB5ZWR1OmFOaXZlbERvbWluaW8gcHlyOmJhc2ljbyA7DQogICAgcHllZHU6cGVydGVuZWNlQVRlbWEgcHlyOlRfZnVuY2lv\"\n", " \"bmVzIDsNCiAgICBweWVkdTpyZXF1aWVyZVByZXJyZXF1aXNpdG8gcHlyOnBhcmFtZXRyb3MgOw0KICAgIHB5ZWR1OnRpZW5lRGlm\"\n", " \"aWN1bHRhZCAyIC4NCg0KcHlyOndhbHJ1cyBhIHB5ZWR1OlByaW5jaXBpb1RyYW5zdmVyc2FsIDsNCiAgICByZGZzOmxhYmVsICJX\"\n", " \"YWxydXMgb3BlcmF0b3IiQGVuLA0KICAgICAgICAiT3BlcmFkb3IgbW9yc2EgKDo9KSJAZXMgOw0KICAgIHB5ZWR1OmFOaXZlbERv\"\n", " \"bWluaW8gcHlyOmludGVybWVkaW8gOw0KICAgIHB5ZWR1OnBlcnRlbmVjZUFUZW1hIHB5cjpUX2NvbnRyb2wgOw0KICAgIHB5ZWR1\"\n", " \"OnJlcXVpZXJlUHJlcnJlcXVpc2l0byBweXI6Y29uZGljaW9uYWwgOw0KICAgIHB5ZWR1OnRpZW5lRGlmaWN1bHRhZCAzIC4NCg0K\"\n", " \"cHlyOnlpZWxkX2Zyb20gYSBweWVkdTpFc3RydWN0dXJhRGVDb250cm9sIDsNCiAgICByZGZzOmxhYmVsICJ5aWVsZCBmcm9tIkBl\"\n", " \"biwNCiAgICAgICAgInlpZWxkIGZyb20iQGVzIDsNCiAgICBweWVkdTphTml2ZWxEb21pbmlvIHB5cjphdmFuemFkbyA7DQogICAg\"\n", " \"cHllZHU6cGVydGVuZWNlQVRlbWEgcHlyOlRfZnVuY2lvbmFsIDsNCiAgICBweWVkdTpyZXF1aWVyZVByZXJyZXF1aXNpdG8gcHly\"\n", " \"OmdlbmVyYWRvciA7DQogICAgcHllZHU6dGllbmVEaWZpY3VsdGFkIDUgLg0KDQpweXI6emlwX2YgYSBweWVkdTpGdW5jaW9uSW50\"\n", " \"ZWdyYWRhIDsNCiAgICByZGZzOmxhYmVsICJ6aXAiQGVuLA0KICAgICAgICAiemlwKCkiQGVzIDsNCiAgICBweWVkdTphTml2ZWxE\"\n", " \"b21pbmlvIHB5cjppbnRlcm1lZGlvIDsNCiAgICBweWVkdTpwZXJ0ZW5lY2VBVGVtYSBweXI6VF9jb250cm9sIDsNCiAgICBweWVk\"\n", " \"dTpyZXF1aWVyZVByZXJyZXF1aXNpdG8gcHlyOmJ1Y2xlX2ZvciwNCiAgICAgICAgcHlyOml0ZXJhYmxlcyA7DQogICAgcHllZHU6\"\n", " \"dGllbmVEaWZpY3VsdGFkIDMgLg0KDQpweWVkdTogYSBvd2w6T250b2xvZ3kgOw0KICAgIGRjdGVybXM6Y29udHJpYnV0b3IgIkpv\"\n", " \"c8OpIEx1aXMgRmVybsOhbmRleiBWaW5kZWwiIDsNCiAgICBkY3Rlcm1zOmNyZWF0ZWQgIjIwMjYtMDYtMTgiXl54c2Q6ZGF0ZSA7\"\n", " \"DQogICAgZGN0ZXJtczpjcmVhdG9yICJBZHJpw6FuIEJ1ZW5vIEp1bnF1ZXJvIiA7DQogICAgZGN0ZXJtczpkZXNjcmlwdGlvbiAi\"\n", " \"T250b2xvZ8OtYSB5IGdyYWZvIGRlIGNvbm9jaW1pZW50byBkZWwgZG9taW5pbyBkZSBsYSBwcm9ncmFtYWNpw7NuIGVuIFB5dGhv\"\n", " \"biwgZGlzZcOxYWRvIHBhcmEgYW5jbGFyIGxhIGdlbmVyYWNpw7NuIGRlIHJldHJvYWxpbWVudGFjacOzbiBmb3JtYXRpdmEgYXV0\"\n", " \"b23DoXRpY2EgKGFycXVpdGVjdHVyYSBFS0cgKyBSQUcgKyBMTE0pLiBNb2RlbGEgY29uY2VwdG9zLCBzdXMgcHJlcnJlcXVpc2l0\"\n", " \"b3MgeSBjb250cmFzdGVzLCB0ZW1hcywgZWplcmNpY2lvcywgZXJyb3JlcyBjb25jZXB0dWFsZXMgKG1pc2NvbmNlcHRpb25zKSwg\"\n", " \"cmVjdXJzb3MgeSBwZXJmaWxlcyBkZSBlc3R1ZGlhbnRlLiJAZXMgOw0KICAgIGRjdGVybXM6bGljZW5zZSA8aHR0cHM6Ly9jcmVh\"\n", " \"dGl2ZWNvbW1vbnMub3JnL2xpY2Vuc2VzL2J5LzQuMC8+IDsNCiAgICBkY3Rlcm1zOnRpdGxlICJFZHVjYXRpb25hbCBLbm93bGVk\"\n", " \"Z2UgR3JhcGggZm9yIFB5dGhvbiBQcm9ncmFtbWluZyAoRUtHLVB5dGhvbikiQGVuLA0KICAgICAgICAiR3JhZm8gZGUgQ29ub2Np\"\n", " \"bWllbnRvIEVkdWNhdGl2byBkZSBQcm9ncmFtYWNpw7NuIGVuIFB5dGhvbiAoRUtHLVB5dGhvbikiQGVzIDsNCiAgICBvd2w6dmVy\"\n", " \"c2lvbkluZm8gIjAuMS4wIiAuDQoNCnB5ZWR1OmFOaXZlbERvbWluaW8gYSBvd2w6T2JqZWN0UHJvcGVydHkgOw0KICAgIHJkZnM6\"\n", " \"bGFiZWwgImF0IG1hc3RlcnkgbGV2ZWwiQGVuLA0KICAgICAgICAiYSBuaXZlbCBkZSBkb21pbmlvIkBlcyA7DQogICAgcmRmczpy\"\n", " \"YW5nZSBweWVkdTpOaXZlbERvbWluaW8gLg0KDQpweWVkdTpjb25QZXNvIGEgb3dsOkRhdGF0eXBlUHJvcGVydHkgOw0KICAgIHJk\"\n", " \"ZnM6bGFiZWwgIndpdGggd2VpZ2h0IkBlbiwNCiAgICAgICAgImNvbiBwZXNvIkBlcyA7DQogICAgcmRmczpkb21haW4gcHllZHU6\"\n", " \"RXZhbHVhY2lvbkRlQ29uY2VwdG8gOw0KICAgIHJkZnM6cmFuZ2UgeHNkOmRlY2ltYWwgLg0KDQpweWVkdTpjb250cmFzdGFDb24g\"\n", " \"YSBvd2w6T2JqZWN0UHJvcGVydHksDQogICAgICAgIG93bDpTeW1tZXRyaWNQcm9wZXJ0eSA7DQogICAgcmRmczpsYWJlbCAiY29u\"\n", " \"dHJhc3RzIHdpdGgiQGVuLA0KICAgICAgICAiY29udHJhc3RhIGNvbiJAZXMgOw0KICAgIHJkZnM6Y29tbWVudCAiQ29uY2VwdG9z\"\n", " \"IGZyZWN1ZW50ZW1lbnRlIGNvbmZ1bmRpZG9zIHF1ZSBjb252aWVuZSBleHBsaWNhciBwb3Igb3Bvc2ljacOzbiAocC4gZWouIGl0\"\n", " \"ZXJhY2nDs24gLyByZWN1cnNpw7NuKS4gU2ltw6l0cmljYS4iQGVzIDsNCiAgICByZGZzOmRvbWFpbiBweWVkdTpDb25jZXB0byA7\"\n", " \"DQogICAgcmRmczpyYW5nZSBweWVkdTpDb25jZXB0byA7DQogICAgcmRmczpzdWJQcm9wZXJ0eU9mIHB5ZWR1OnJlbGFjaW9uYWRv\"\n", " \"Q29uY2VwdHVhbG1lbnRlQ29uIC4NCg0KcHllZHU6Y3VicmVDb25jZXB0byBhIG93bDpPYmplY3RQcm9wZXJ0eSA7DQogICAgcmRm\"\n", " \"czpsYWJlbCAiY292ZXJzIGNvbmNlcHQiQGVuLA0KICAgICAgICAiY3VicmUgZWwgY29uY2VwdG8iQGVzIDsNCiAgICByZGZzOmRv\"\n", " \"bWFpbiBweWVkdTpFamVyY2ljaW8gOw0KICAgIHJkZnM6cmFuZ2UgcHllZHU6Q29uY2VwdG8gLg0KDQpweWVkdTpkb21pbmFDb25j\"\n", " \"ZXB0byBhIG93bDpPYmplY3RQcm9wZXJ0eSA7DQogICAgcmRmczpsYWJlbCAiaGFzIG1hc3RlcmVkIGNvbmNlcHQiQGVuLA0KICAg\"\n", " \"ICAgICAiZG9taW5hIGVsIGNvbmNlcHRvIkBlcyA7DQogICAgcmRmczpkb21haW4gcHllZHU6RXN0dWRpYW50ZSA7DQogICAgcmRm\"\n", " \"czpyYW5nZSBweWVkdTpDb25jZXB0byAuDQoNCnB5ZWR1OmVuRWplcmNpY2lvIGEgb3dsOk9iamVjdFByb3BlcnR5IDsNCiAgICBy\"\n", " \"ZGZzOmxhYmVsICJpbiBleGVyY2lzZSJAZW4sDQogICAgICAgICJlbiBlbCBlamVyY2ljaW8iQGVzIDsNCiAgICByZGZzOmRvbWFp\"\n", " \"biBweWVkdTpFdmFsdWFjaW9uRGVDb25jZXB0byA7DQogICAgcmRmczpyYW5nZSBweWVkdTpFamVyY2ljaW8gLg0KDQpweWVkdTpl\"\n", " \"bkZlY2hhIGEgb3dsOkRhdGF0eXBlUHJvcGVydHkgOw0KICAgIHJkZnM6bGFiZWwgIm9uIGRhdGUiQGVuLA0KICAgICAgICAiZW4g\"\n", " \"bGEgZmVjaGEiQGVzIDsNCiAgICByZGZzOmRvbWFpbiBweWVkdTpFdmFsdWFjaW9uQWN0aXZpZGFkIDsNCiAgICByZGZzOnJhbmdl\"\n", " \"IHhzZDpkYXRlIC4NCg0KcHllZHU6ZW52aWFkb1BvciBhIG93bDpPYmplY3RQcm9wZXJ0eSA7DQogICAgcmRmczpsYWJlbCAic3Vi\"\n", " \"bWl0dGVkIGJ5IkBlbiwNCiAgICAgICAgImVudmlhZG8gcG9yIkBlcyA7DQogICAgcmRmczpkb21haW4gcHllZHU6RW52aW9Fc3R1\"\n", " \"ZGlhbnRlIDsNCiAgICByZGZzOnJhbmdlIHB5ZWR1OkVzdHVkaWFudGUgLg0KDQpweWVkdTplc1ByZXJyZXF1aXNpdG9EZSBhIG93\"\n", " \"bDpPYmplY3RQcm9wZXJ0eSwNCiAgICAgICAgb3dsOlRyYW5zaXRpdmVQcm9wZXJ0eSA7DQogICAgcmRmczpsYWJlbCAiaXMgcHJl\"\n", " \"cmVxdWlzaXRlIG9mIkBlbiwNCiAgICAgICAgImVzIHByZXJyZXF1aXNpdG8gZGUiQGVzIDsNCiAgICByZGZzOmNvbW1lbnQgIkEg\"\n", " \"ZXNQcmVycmVxdWlzaXRvRGUgQiBzaWduaWZpY2EgcXVlIGRvbWluYXIgQSBlcyBjb25kaWNpw7NuIHByZXZpYSBwYXJhIGFwcmVu\"\n", " \"ZGVyIEIuIFRyYW5zaXRpdmE6IGhhYmlsaXRhIGVsIGPDoWxjdWxvIGRlIHByZXJyZXF1aXNpdG9zIGluZGlyZWN0b3MgcG9yIGlu\"\n", " \"ZmVyZW5jaWEuIkBlcyA7DQogICAgcmRmczpkb21haW4gcHllZHU6Q29uY2VwdG8gOw0KICAgIHJkZnM6cmFuZ2UgcHllZHU6Q29u\"\n", " \"Y2VwdG8gOw0KICAgIHJkZnM6c3ViUHJvcGVydHlPZiBweWVkdTpyZWxhY2lvbmFkb0NvbmNlcHR1YWxtZW50ZUNvbiA7DQogICAg\"\n", " \"b3dsOmludmVyc2VPZiBweWVkdTpyZXF1aWVyZVByZXJyZXF1aXNpdG8gLg0KDQpweWVkdTpldmFsdWFBIGEgb3dsOk9iamVjdFBy\"\n", " \"b3BlcnR5IDsNCiAgICByZGZzOmxhYmVsICJhc3Nlc3NlcyBhY3Rpdml0eSJAZW4sDQogICAgICAgICJldmFsw7phIGxhIGFjdGl2\"\n", " \"aWRhZCJAZXMgOw0KICAgIHJkZnM6ZG9tYWluIHB5ZWR1OkV2YWx1YWNpb25BY3RpdmlkYWQgOw0KICAgIHJkZnM6cmFuZ2UgcHll\"\n", " \"ZHU6RWplcmNpY2lvIC4NCg0KcHllZHU6ZXZhbHVhQ29tcGV0ZW5jaWEgYSBvd2w6T2JqZWN0UHJvcGVydHkgOw0KICAgIHJkZnM6\"\n", " \"bGFiZWwgImFzc2Vzc2VzIGNvbXBldGVuY3kiQGVuLA0KICAgICAgICAiZXZhbMO6YSBsYSBjb21wZXRlbmNpYSJAZXMgOw0KICAg\"\n", " \"IHJkZnM6ZG9tYWluIHB5ZWR1OkVqZXJjaWNpbyA7DQogICAgcmRmczpyYW5nZSBweWVkdTpDb21wZXRlbmNpYSAuDQoNCnB5ZWR1\"\n", " \"OmdlbmVyYWxpemEgYSBvd2w6T2JqZWN0UHJvcGVydHkgOw0KICAgIHJkZnM6bGFiZWwgImdlbmVyYWxpc2VzIkBlbiwNCiAgICAg\"\n", " \"ICAgImdlbmVyYWxpemEgYSJAZXMgOw0KICAgIHJkZnM6ZG9tYWluIHB5ZWR1OkNvbmNlcHRvIDsNCiAgICByZGZzOnJhbmdlIHB5\"\n", " \"ZWR1OkNvbmNlcHRvIDsNCiAgICByZGZzOnN1YlByb3BlcnR5T2YgcHllZHU6cmVsYWNpb25hZG9Db25jZXB0dWFsbWVudGVDb24g\"\n", " \"Ow0KICAgIG93bDppbnZlcnNlT2YgcHllZHU6ZXNwZWNpYWxpemEgLg0KDQpweWVkdTppbHVzdHJhQ29uY2VwdG8gYSBvd2w6T2Jq\"\n", " \"ZWN0UHJvcGVydHkgOw0KICAgIHJkZnM6bGFiZWwgImlsbHVzdHJhdGVzIGNvbmNlcHQiQGVuLA0KICAgICAgICAiaWx1c3RyYSBl\"\n", " \"bCBjb25jZXB0byJAZXMgOw0KICAgIHJkZnM6ZG9tYWluIHB5ZWR1OlJlY3Vyc28gOw0KICAgIHJkZnM6cmFuZ2UgcHllZHU6Q29u\"\n", " \"Y2VwdG8gLg0KDQpweWVkdTptYW5pZmllc3RhRXJyb3IgYSBvd2w6T2JqZWN0UHJvcGVydHkgOw0KICAgIHJkZnM6bGFiZWwgImV4\"\n", " \"aGliaXRzIG1pc2NvbmNlcHRpb24iQGVuLA0KICAgICAgICAibWFuaWZpZXN0YSBlbCBlcnJvciJAZXMgOw0KICAgIHJkZnM6ZG9t\"\n", " \"YWluIHB5ZWR1OkVudmlvRXN0dWRpYW50ZSA7DQogICAgcmRmczpyYW5nZSBweWVkdTpFcnJvckNvbmNlcHR1YWwgLg0KDQpweWVk\"\n", " \"dTpudW1lcm9EZUxpbmVhcyBhIG93bDpEYXRhdHlwZVByb3BlcnR5IDsNCiAgICByZGZzOmxhYmVsICJudW1iZXIgb2YgbGluZXMi\"\n", " \"QGVuLA0KICAgICAgICAibsO6bWVybyBkZSBsw61uZWFzIkBlcyA7DQogICAgcmRmczpkb21haW4gcHllZHU6RW52aW9Fc3R1ZGlh\"\n", " \"bnRlIDsNCiAgICByZGZzOnJhbmdlIHhzZDppbnRlZ2VyIC4NCg0KcHllZHU6b2J0dXZvTm90YSBhIG93bDpEYXRhdHlwZVByb3Bl\"\n", " \"cnR5IDsNCiAgICByZGZzOmxhYmVsICJvYnRhaW5lZCBncmFkZSJAZW4sDQogICAgICAgICJvYnR1dm8gbm90YSJAZXMgOw0KICAg\"\n", " \"IHJkZnM6ZG9tYWluIHB5ZWR1OkV2YWx1YWNpb25BY3RpdmlkYWQgOw0KICAgIHJkZnM6cmFuZ2UgeHNkOmRlY2ltYWwgLg0KDQpw\"\n", " \"eWVkdTpwZXJ0ZW5lY2VBVGVtYSBhIG93bDpPYmplY3RQcm9wZXJ0eSA7DQogICAgcmRmczpsYWJlbCAiYmVsb25ncyB0byB0b3Bp\"\n", " \"YyJAZW4sDQogICAgICAgICJwZXJ0ZW5lY2UgYWwgdGVtYSJAZXMgOw0KICAgIHJkZnM6ZG9tYWluIHB5ZWR1OkNvbmNlcHRvIDsN\"\n", " \"CiAgICByZGZzOnJhbmdlIHB5ZWR1OlRlbWEgLg0KDQpweWVkdTpwb3JFc3R1ZGlhbnRlIGEgb3dsOk9iamVjdFByb3BlcnR5IDsN\"\n", " \"CiAgICByZGZzOmxhYmVsICJjYXJyaWVkIG91dCBieSJAZW4sDQogICAgICAgICJyZWFsaXphZGEgcG9yIkBlcyA7DQogICAgcmRm\"\n", " \"czpkb21haW4gcHllZHU6RXZhbHVhY2lvbkFjdGl2aWRhZCA7DQogICAgcmRmczpyYW5nZSBweWVkdTpFc3R1ZGlhbnRlIC4NCg0K\"\n", " \"cHllZHU6cmVzdWVsdmVFamVyY2ljaW8gYSBvd2w6T2JqZWN0UHJvcGVydHkgOw0KICAgIHJkZnM6bGFiZWwgInNvbHZlcyBleGVy\"\n", " \"Y2lzZSJAZW4sDQogICAgICAgICJyZXN1ZWx2ZSBlbCBlamVyY2ljaW8iQGVzIDsNCiAgICByZGZzOmRvbWFpbiBweWVkdTpFbnZp\"\n", " \"b0VzdHVkaWFudGUgOw0KICAgIHJkZnM6cmFuZ2UgcHllZHU6RWplcmNpY2lvIC4NCg0KcHllZHU6c2VBcGxpY2FBIGEgb3dsOk9i\"\n", " \"amVjdFByb3BlcnR5IDsNCiAgICByZGZzOmxhYmVsICJhcHBsaWVzIHRvIkBlbiwNCiAgICAgICAgInNlIGFwbGljYSBhIkBlcyA7\"\n", " \"DQogICAgcmRmczpkb21haW4gcHllZHU6Q29uY2VwdG8gOw0KICAgIHJkZnM6cmFuZ2UgcHllZHU6Q29uY2VwdG8gOw0KICAgIHJk\"\n", " \"ZnM6c3ViUHJvcGVydHlPZiBweWVkdTpyZWxhY2lvbmFkb0NvbmNlcHR1YWxtZW50ZUNvbiAuDQoNCnB5ZWR1OnNvYnJlQ29uY2Vw\"\n", " \"dG8gYSBvd2w6T2JqZWN0UHJvcGVydHkgOw0KICAgIHJkZnM6bGFiZWwgImFib3V0IGNvbmNlcHQiQGVuLA0KICAgICAgICAic29i\"\n", " \"cmUgZWwgY29uY2VwdG8iQGVzIDsNCiAgICByZGZzOmRvbWFpbiBweWVkdTpFdmFsdWFjaW9uRGVDb25jZXB0byA7DQogICAgcmRm\"\n", " \"czpyYW5nZSBweWVkdTpDb25jZXB0byAuDQoNCnB5ZWR1OnRpZW5lRGlmaWN1bHRhZCBhIG93bDpEYXRhdHlwZVByb3BlcnR5LA0K\"\n", " \"ICAgICAgICBvd2w6RnVuY3Rpb25hbFByb3BlcnR5IDsNCiAgICByZGZzOmxhYmVsICJoYXMgZGlmZmljdWx0eSJAZW4sDQogICAg\"\n", " \"ICAgICJ0aWVuZSBkaWZpY3VsdGFkIkBlcyA7DQogICAgcmRmczpjb21tZW50ICJEaWZpY3VsdGFkIGVzdGltYWRhIGVuIHVuYSBl\"\n", " \"c2NhbGEgZW50ZXJhIDHigJM1LiJAZXMgOw0KICAgIHJkZnM6ZG9tYWluIHB5ZWR1OkVudGlkYWRFZHVjYXRpdmEgOw0KICAgIHJk\"\n", " \"ZnM6cmFuZ2UgeHNkOmludGVnZXIgLg0KDQpweWVkdTp0aWVuZUVqZW1wbG9Db2RpZ28gYSBvd2w6RGF0YXR5cGVQcm9wZXJ0eSA7\"\n", " \"DQogICAgcmRmczpsYWJlbCAiaGFzIGNvZGUgZXhhbXBsZSJAZW4sDQogICAgICAgICJ0aWVuZSBlamVtcGxvIGRlIGPDs2RpZ28i\"\n", " \"QGVzIDsNCiAgICByZGZzOnJhbmdlIHhzZDpzdHJpbmcgLg0KDQpweWVkdTp0aWVuZUVudW5jaWFkbyBhIG93bDpEYXRhdHlwZVBy\"\n", " \"b3BlcnR5IDsNCiAgICByZGZzOmxhYmVsICJoYXMgc3RhdGVtZW50IkBlbiwNCiAgICAgICAgInRpZW5lIGVudW5jaWFkbyJAZXMg\"\n", " \"Ow0KICAgIHJkZnM6ZG9tYWluIHB5ZWR1OkVqZXJjaWNpbyA7DQogICAgcmRmczpyYW5nZSByZGY6bGFuZ1N0cmluZyAuDQoNCnB5\"\n", " \"cjphdHJpYnV0byBhIHB5ZWR1OlBhcmFkaWdtYSA7DQogICAgcmRmczpsYWJlbCAiQXR0cmlidXRlIkBlbiwNCiAgICAgICAgIkF0\"\n", " \"cmlidXRvIGRlIGluc3RhbmNpYSJAZXMgOw0KICAgIHB5ZWR1OmFOaXZlbERvbWluaW8gcHlyOmludGVybWVkaW8gOw0KICAgIHB5\"\n", " \"ZWR1OnBlcnRlbmVjZUFUZW1hIHB5cjpUX3BvbyA7DQogICAgcHllZHU6cmVxdWllcmVQcmVycmVxdWlzaXRvIHB5cjpvYmpldG8g\"\n", " \"Ow0KICAgIHB5ZWR1OnRpZW5lRGlmaWN1bHRhZCAzIC4NCg0KcHlyOmJ1c3F1ZWRhX2xpbmVhbCBhIHB5ZWR1OlByaW5jaXBpb1Ry\"\n", " \"YW5zdmVyc2FsIDsNCiAgICByZGZzOmxhYmVsICJMaW5lYXIgc2VhcmNoIkBlbiwNCiAgICAgICAgIkLDunNxdWVkYSBsaW5lYWwi\"\n", " \"QGVzIDsNCiAgICBza29zOmV4YWN0TWF0Y2ggd2Q6UTc4NzkwMyA7DQogICAgc2tvczpyZWxhdGVkIHB5cjpidXNxdWVkYV9iaW5h\"\n", " \"cmlhIDsNCiAgICBweWVkdTphTml2ZWxEb21pbmlvIHB5cjpiYXNpY28gOw0KICAgIHB5ZWR1OmNvbnRyYXN0YUNvbiBweXI6YnVz\"\n", " \"cXVlZGFfYmluYXJpYSA7DQogICAgcHllZHU6cGVydGVuZWNlQVRlbWEgcHlyOlRfYWxnb3JpdG1vcyA7DQogICAgcHllZHU6cmVx\"\n", " \"dWllcmVQcmVycmVxdWlzaXRvIHB5cjpidWNsZV9mb3IgOw0KICAgIHB5ZWR1OnRpZW5lRGlmaWN1bHRhZCAyIC4NCg0KcHlyOmNv\"\n", " \"bXBvc2ljaW9uIGEgcHllZHU6UGFyYWRpZ21hIDsNCiAgICByZGZzOmxhYmVsICJDb21wb3NpdGlvbiJAZW4sDQogICAgICAgICJD\"\n", " \"b21wb3NpY2nDs24iQGVzIDsNCiAgICBza29zOnJlbGF0ZWQgcHlyOmhlcmVuY2lhIDsNCiAgICBweWVkdTphTml2ZWxEb21pbmlv\"\n", " \"IHB5cjphdmFuemFkbyA7DQogICAgcHllZHU6Y29udHJhc3RhQ29uIHB5cjpoZXJlbmNpYSA7DQogICAgcHllZHU6cGVydGVuZWNl\"\n", " \"QVRlbWEgcHlyOlRfcG9vIDsNCiAgICBweWVkdTpyZXF1aWVyZVByZXJyZXF1aXNpdG8gcHlyOm9iamV0byA7DQogICAgcHllZHU6\"\n", " \"dGllbmVEaWZpY3VsdGFkIDQgLg0KDQpweXI6Y29tcHJlbnNpb25fZGljdHMgYSBweWVkdTpFc3RydWN0dXJhRGVDb250cm9sIDsN\"\n", " \"CiAgICByZGZzOmxhYmVsICJEaWN0IGNvbXByZWhlbnNpb24iQGVuLA0KICAgICAgICAiQ29tcHJlbnNpw7NuIGRlIGRpY2Npb25h\"\n", " \"cmlvcyJAZXMgOw0KICAgIHNrb3M6YnJvYWRlciBweXI6Y29tcHJlbnNpb25fbGlzdGFzIDsNCiAgICBweWVkdTphTml2ZWxEb21p\"\n", " \"bmlvIHB5cjphdmFuemFkbyA7DQogICAgcHllZHU6cGVydGVuZWNlQVRlbWEgcHlyOlRfZXN0cnVjdHVyYXMgOw0KICAgIHB5ZWR1\"\n", " \"OnJlcXVpZXJlUHJlcnJlcXVpc2l0byBweXI6Y29tcHJlbnNpb25fbGlzdGFzLA0KICAgICAgICBweXI6ZGljY2lvbmFyaW8gOw0K\"\n", " \"ICAgIHB5ZWR1OnRpZW5lRGlmaWN1bHRhZCA0IC4NCg0KcHlyOmNvbXByZW5zaW9uX3NldHMgYSBweWVkdTpFc3RydWN0dXJhRGVD\"\n", " \"b250cm9sIDsNCiAgICByZGZzOmxhYmVsICJTZXQgY29tcHJlaGVuc2lvbiJAZW4sDQogICAgICAgICJDb21wcmVuc2nDs24gZGUg\"\n", " \"Y29uanVudG9zIkBlcyA7DQogICAgc2tvczpicm9hZGVyIHB5cjpjb21wcmVuc2lvbl9saXN0YXMgOw0KICAgIHB5ZWR1OmFOaXZl\"\n", " \"bERvbWluaW8gcHlyOmF2YW56YWRvIDsNCiAgICBweWVkdTpwZXJ0ZW5lY2VBVGVtYSBweXI6VF9lc3RydWN0dXJhcyA7DQogICAg\"\n", " \"cHllZHU6cmVxdWllcmVQcmVycmVxdWlzaXRvIHB5cjpjb21wcmVuc2lvbl9saXN0YXMsDQogICAgICAgIHB5cjpjb25qdW50byA7\"\n", " \"DQogICAgcHllZHU6dGllbmVEaWZpY3VsdGFkIDQgLg0KDQpweXI6Y29udmVyc2lvbl90aXBvcyBhIHB5ZWR1OlByaW5jaXBpb1Ry\"\n", " \"YW5zdmVyc2FsIDsNCiAgICByZGZzOmxhYmVsICJUeXBlIGNhc3RpbmciQGVuLA0KICAgICAgICAiQ29udmVyc2nDs24gZGUgdGlw\"\n", " \"b3MiQGVzIDsNCiAgICBweWVkdTphTml2ZWxEb21pbmlvIHB5cjpiYXNpY28gOw0KICAgIHB5ZWR1OnBlcnRlbmVjZUFUZW1hIHB5\"\n", " \"cjpUX3RpcG9zIDsNCiAgICBweWVkdTpyZXF1aWVyZVByZXJyZXF1aXNpdG8gcHlyOnRpcG9faW50LA0KICAgICAgICBweXI6dGlw\"\n", " \"b19zdHIgOw0KICAgIHB5ZWR1OnRpZW5lRGlmaWN1bHRhZCAyIC4NCg0KcHlyOmRlc2VtcGFxdWV0YWRvIGEgcHllZHU6UHJpbmNp\"\n", " \"cGlvVHJhbnN2ZXJzYWwgOw0KICAgIHJkZnM6bGFiZWwgIlVucGFja2luZyJAZW4sDQogICAgICAgICJEZXNlbXBhcXVldGFkbyJA\"\n", " \"ZXMgOw0KICAgIHB5ZWR1OmFOaXZlbERvbWluaW8gcHlyOmJhc2ljbyA7DQogICAgcHllZHU6cGVydGVuZWNlQVRlbWEgcHlyOlRf\"\n", " \"ZXN0cnVjdHVyYXMgOw0KICAgIHB5ZWR1OnJlcXVpZXJlUHJlcnJlcXVpc2l0byBweXI6bGlzdGEsDQogICAgICAgIHB5cjp0dXBs\"\n", " \"YSA7DQogICAgcHllZHU6dGllbmVEaWZpY3VsdGFkIDIgLg0KDQpweXI6ZW5jYXBzdWxhY2lvbiBhIHB5ZWR1OlBhcmFkaWdtYSA7\"\n", " \"DQogICAgcmRmczpsYWJlbCAiRW5jYXBzdWxhdGlvbiJAZW4sDQogICAgICAgICJFbmNhcHN1bGFjacOzbiJAZXMgOw0KICAgIHB5\"\n", " \"ZWR1OmFOaXZlbERvbWluaW8gcHlyOmF2YW56YWRvIDsNCiAgICBweWVkdTpwZXJ0ZW5lY2VBVGVtYSBweXI6VF9wb28gOw0KICAg\"\n", " \"IHB5ZWR1OnJlcXVpZXJlUHJlcnJlcXVpc2l0byBweXI6YXRyaWJ1dG8gOw0KICAgIHB5ZWR1OnRpZW5lRGlmaWN1bHRhZCA0IC4N\"\n", " \"Cg0KcHlyOmVycl9pdGVyYWNpb25fcmVjdXJzaW9uIGEgcHllZHU6RXJyb3JDb25jZXB0dWFsIDsNCiAgICByZGZzOmxhYmVsICJJ\"\n", " \"dGVyYXRpb24gdnMgcmVjdXJzaW9uIGNvbmZ1c2lvbiJAZW4sDQogICAgICAgICJDb25mdXNpw7NuIGl0ZXJhY2nDs24gLyByZWN1\"\n", " \"cnNpw7NuIkBlcyA7DQogICAgcHllZHU6ZXJyb3JTb2JyZUNvbmNlcHRvIHB5cjpyZWN1cnNpb24gLg0KDQpweXI6ZXhwcmVzaW9u\"\n", " \"X2dlbmVyYWRvcmEgYSBweWVkdTpFc3RydWN0dXJhRGVDb250cm9sIDsNCiAgICByZGZzOmxhYmVsICJHZW5lcmF0b3IgZXhwcmVz\"\n", " \"c2lvbiJAZW4sDQogICAgICAgICJFeHByZXNpw7NuIGdlbmVyYWRvcmEiQGVzIDsNCiAgICBza29zOmJyb2FkZXIgcHlyOmNvbXBy\"\n", " \"ZW5zaW9uX2xpc3RhcyA7DQogICAgcHllZHU6YU5pdmVsRG9taW5pbyBweXI6YXZhbnphZG8gOw0KICAgIHB5ZWR1OnBlcnRlbmVj\"\n", " \"ZUFUZW1hIHB5cjpUX2Z1bmNpb25hbCA7DQogICAgcHllZHU6cmVxdWllcmVQcmVycmVxdWlzaXRvIHB5cjpjb21wcmVuc2lvbl9s\"\n", " \"aXN0YXMsDQogICAgICAgIHB5cjpnZW5lcmFkb3IgOw0KICAgIHB5ZWR1OnRpZW5lRGlmaWN1bHRhZCA0IC4NCg0KcHlyOmluZGV4\"\n", " \"YWNpb25fbmVnYXRpdmEgYSBweWVkdTpQcmluY2lwaW9UcmFuc3ZlcnNhbCA7DQogICAgcmRmczpsYWJlbCAiTmVnYXRpdmUgaW5k\"\n", " \"ZXhpbmciQGVuLA0KICAgICAgICAiSW5kZXhhY2nDs24gbmVnYXRpdmEiQGVzIDsNCiAgICBza29zOmJyb2FkZXIgcHlyOmluZGV4\"\n", " \"YWNpb24gOw0KICAgIHB5ZWR1OmFOaXZlbERvbWluaW8gcHlyOmJhc2ljbyA7DQogICAgcHllZHU6cGVydGVuZWNlQVRlbWEgcHly\"\n", " \"OlRfZXN0cnVjdHVyYXMgOw0KICAgIHB5ZWR1OnJlcXVpZXJlUHJlcnJlcXVpc2l0byBweXI6aW5kZXhhY2lvbiA7DQogICAgcHll\"\n", " \"ZHU6dGllbmVEaWZpY3VsdGFkIDIgLg0KDQpweXI6aW5pdF9tZXRob2QgYSBweWVkdTpQYXJhZGlnbWEgOw0KICAgIHJkZnM6bGFi\"\n", " \"ZWwgIkNvbnN0cnVjdG9yIkBlbiwNCiAgICAgICAgIkNvbnN0cnVjdG9yIF9faW5pdF9fIkBlcyA7DQogICAgc2tvczpicm9hZGVy\"\n", " \"IHB5cjptZXRvZG8gOw0KICAgIHB5ZWR1OmFOaXZlbERvbWluaW8gcHlyOmludGVybWVkaW8gOw0KICAgIHB5ZWR1OnBlcnRlbmVj\"\n", " \"ZUFUZW1hIHB5cjpUX3BvbyA7DQogICAgcHllZHU6cmVxdWllcmVQcmVycmVxdWlzaXRvIHB5cjptZXRvZG8gOw0KICAgIHB5ZWR1\"\n", " \"OnRpZW5lRGlmaWN1bHRhZCAzIC4NCg0KcHlyOml0ZXJhZG9yIGEgcHllZHU6UHJpbmNpcGlvVHJhbnN2ZXJzYWwgOw0KICAgIHJk\"\n", " \"ZnM6bGFiZWwgIkl0ZXJhdG9yIkBlbiwNCiAgICAgICAgIkl0ZXJhZG9yIChpdGVyLCBuZXh0KSJAZXMgOw0KICAgIHNrb3M6ZXhh\"\n", " \"Y3RNYXRjaCB3ZDpRMTMyNjM4OCA7DQogICAgcHllZHU6YU5pdmVsRG9taW5pbyBweXI6YXZhbnphZG8gOw0KICAgIHB5ZWR1OnBl\"\n", " \"cnRlbmVjZUFUZW1hIHB5cjpUX2Z1bmNpb25hbCA7DQogICAgcHllZHU6cmVxdWllcmVQcmVycmVxdWlzaXRvIHB5cjppdGVyYWJs\"\n", " \"ZXMgOw0KICAgIHB5ZWR1OnRpZW5lRGlmaWN1bHRhZCA0IC4NCg0KcHlyOmplcmFycXVpYV9leGNlcGNpb25lcyBhIHB5ZWR1OkVz\"\n", " \"dHJ1Y3R1cmFEZUNvbnRyb2wgOw0KICAgIHJkZnM6bGFiZWwgIkV4Y2VwdGlvbiBoaWVyYXJjaHkiQGVuLA0KICAgICAgICAiSmVy\"\n", " \"YXJxdcOtYSBkZSBleGNlcGNpb25lcyJAZXMgOw0KICAgIHB5ZWR1OmFOaXZlbERvbWluaW8gcHlyOmludGVybWVkaW8gOw0KICAg\"\n", " \"IHB5ZWR1OnBlcnRlbmVjZUFUZW1hIHB5cjpUX2V4Y2VwY2lvbmVzIDsNCiAgICBweWVkdTpyZXF1aWVyZVByZXJyZXF1aXNpdG8g\"\n", " \"cHlyOmV4Y2VwY2lvbiwNCiAgICAgICAgcHlyOmhlcmVuY2lhIDsNCiAgICBweWVkdTp0aWVuZURpZmljdWx0YWQgMyAuDQoNCnB5\"\n", " \"cjptZW1vaXphY2lvbiBhIHB5ZWR1OlByaW5jaXBpb1RyYW5zdmVyc2FsIDsNCiAgICByZGZzOmxhYmVsICJNZW1vaXphdGlvbiJA\"\n", " \"ZW4sDQogICAgICAgICJNZW1vaXphY2nDs24gKGxydV9jYWNoZSkiQGVzIDsNCiAgICBweWVkdTphTml2ZWxEb21pbmlvIHB5cjph\"\n", " \"dmFuemFkbyA7DQogICAgcHllZHU6cGVydGVuZWNlQVRlbWEgcHlyOlRfcmVjdXJzaW9uIDsNCiAgICBweWVkdTpyZXF1aWVyZVBy\"\n", " \"ZXJyZXF1aXNpdG8gcHlyOmRpY2Npb25hcmlvLA0KICAgICAgICBweXI6cmVjdXJzaW9uIDsNCiAgICBweWVkdTp0aWVuZURpZmlj\"\n", " \"dWx0YWQgNCAuDQoNCnB5cjptZXRvZG9fY2xhc2UgYSBweWVkdTpQYXJhZGlnbWEgOw0KICAgIHJkZnM6bGFiZWwgIkNsYXNzIG1l\"\n", " \"dGhvZCJAZW4sDQogICAgICAgICJNw6l0b2RvIGRlIGNsYXNlIkBlcyA7DQogICAgc2tvczpicm9hZGVyIHB5cjptZXRvZG8gOw0K\"\n", " \"ICAgIHB5ZWR1OmFOaXZlbERvbWluaW8gcHlyOmF2YW56YWRvIDsNCiAgICBweWVkdTpwZXJ0ZW5lY2VBVGVtYSBweXI6VF9wb28g\"\n", " \"Ow0KICAgIHB5ZWR1OnJlcXVpZXJlUHJlcnJlcXVpc2l0byBweXI6ZGVjb3JhZG9yLA0KICAgICAgICBweXI6bWV0b2RvIDsNCiAg\"\n", " \"ICBweWVkdTp0aWVuZURpZmljdWx0YWQgNCAuDQoNCnB5cjptZXRvZG9fZXN0YXRpY28gYSBweWVkdTpQYXJhZGlnbWEgOw0KICAg\"\n", " \"IHJkZnM6bGFiZWwgIlN0YXRpYyBtZXRob2QiQGVuLA0KICAgICAgICAiTcOpdG9kbyBlc3TDoXRpY28iQGVzIDsNCiAgICBza29z\"\n", " \"OmJyb2FkZXIgcHlyOm1ldG9kbyA7DQogICAgcHllZHU6YU5pdmVsRG9taW5pbyBweXI6YXZhbnphZG8gOw0KICAgIHB5ZWR1OnBl\"\n", " \"cnRlbmVjZUFUZW1hIHB5cjpUX3BvbyA7DQogICAgcHllZHU6cmVxdWllcmVQcmVycmVxdWlzaXRvIHB5cjpkZWNvcmFkb3IsDQog\"\n", " \"ICAgICAgIHB5cjptZXRvZG8gOw0KICAgIHB5ZWR1OnRpZW5lRGlmaWN1bHRhZCA0IC4NCg0KcHlyOm11dGFibGVfaW5tdXRhYmxl\"\n", " \"IGEgcHllZHU6UHJpbmNpcGlvVHJhbnN2ZXJzYWwgOw0KICAgIHJkZnM6bGFiZWwgIk11dGFibGUgdnMgaW1tdXRhYmxlIkBlbiwN\"\n", " \"CiAgICAgICAgIk11dGFibGUgdnMgaW5tdXRhYmxlIkBlcyA7DQogICAgcHllZHU6YU5pdmVsRG9taW5pbyBweXI6aW50ZXJtZWRp\"\n", " \"byA7DQogICAgcHllZHU6Y29udHJhc3RhQ29uIHB5cjp0dXBsYSA7DQogICAgcHllZHU6cGVydGVuZWNlQVRlbWEgcHlyOlRfdGlw\"\n", " \"b3MgOw0KICAgIHB5ZWR1OnJlcXVpZXJlUHJlcnJlcXVpc2l0byBweXI6bXV0YWJpbGlkYWQgOw0KICAgIHB5ZWR1OnRpZW5lRGlm\"\n", " \"aWN1bHRhZCAzIC4NCg0KcHlyOm9wZXJhZG9yX2VzdHJlbGxhIGEgcHllZHU6UHJpbmNpcGlvVHJhbnN2ZXJzYWwgOw0KICAgIHJk\"\n", " \"ZnM6bGFiZWwgIlN0YXIgb3BlcmF0b3IiQGVuLA0KICAgICAgICAiT3BlcmFkb3IgKiB5ICoqIkBlcyA7DQogICAgcHllZHU6YU5p\"\n", " \"dmVsRG9taW5pbyBweXI6aW50ZXJtZWRpbyA7DQogICAgcHllZHU6cGVydGVuZWNlQVRlbWEgcHlyOlRfZXN0cnVjdHVyYXMgOw0K\"\n", " \"ICAgIHB5ZWR1OnJlcXVpZXJlUHJlcnJlcXVpc2l0byBweXI6ZGVzZW1wYXF1ZXRhZG8gOw0KICAgIHB5ZWR1OnRpZW5lRGlmaWN1\"\n", " \"bHRhZCAzIC4NCg0KcHlyOm9yZGVuYWNpb25fYnVyYnVqYSBhIHB5ZWR1OlByaW5jaXBpb1RyYW5zdmVyc2FsIDsNCiAgICByZGZz\"\n", " \"OmxhYmVsICJCdWJibGUgc29ydCJAZW4sDQogICAgICAgICJPcmRlbmFjacOzbiBkZSBidXJidWphIkBlcyA7DQogICAgc2tvczpi\"\n", " \"cm9hZGVyIHB5cjpub3RhY2lvbl9vIDsNCiAgICBza29zOmV4YWN0TWF0Y2ggd2Q6UTYwODY0IDsNCiAgICBweWVkdTphTml2ZWxE\"\n", " \"b21pbmlvIHB5cjppbnRlcm1lZGlvIDsNCiAgICBweWVkdTpwZXJ0ZW5lY2VBVGVtYSBweXI6VF9hbGdvcml0bW9zIDsNCiAgICBw\"\n", " \"eWVkdTpyZXF1aWVyZVByZXJyZXF1aXNpdG8gcHlyOmJ1Y2xlX2ZvciA7DQogICAgcHllZHU6dGllbmVEaWZpY3VsdGFkIDMgLg0K\"\n", " \"DQpweXI6b3JkZW5hY2lvbl9tZXpjbGEgYSBweWVkdTpQcmluY2lwaW9UcmFuc3ZlcnNhbCA7DQogICAgcmRmczpsYWJlbCAiTWVy\"\n", " \"Z2Ugc29ydCJAZW4sDQogICAgICAgICJPcmRlbmFjacOzbiBwb3IgbWV6Y2xhIkBlcyA7DQogICAgc2tvczpicm9hZGVyIHB5cjpu\"\n", " \"b3RhY2lvbl9vIDsNCiAgICBza29zOmV4YWN0TWF0Y2ggd2Q6UTE4OTA1NyA7DQogICAgcHllZHU6YU5pdmVsRG9taW5pbyBweXI6\"\n", " \"YXZhbnphZG8gOw0KICAgIHB5ZWR1OnBlcnRlbmVjZUFUZW1hIHB5cjpUX2FsZ29yaXRtb3MgOw0KICAgIHB5ZWR1OnJlcXVpZXJl\"\n", " \"UHJlcnJlcXVpc2l0byBweXI6bm90YWNpb25fbywNCiAgICAgICAgcHlyOnJlY3Vyc2lvbiA7DQogICAgcHllZHU6dGllbmVEaWZp\"\n", " \"Y3VsdGFkIDUgLg0KDQpweXI6b3JkZW5hY2lvbl9yYXBpZGEgYSBweWVkdTpQcmluY2lwaW9UcmFuc3ZlcnNhbCA7DQogICAgcmRm\"\n", " \"czpsYWJlbCAiUXVpY2tzb3J0IkBlbiwNCiAgICAgICAgIk9yZGVuYWNpw7NuIHLDoXBpZGEiQGVzIDsNCiAgICBza29zOmJyb2Fk\"\n", " \"ZXIgcHlyOm5vdGFjaW9uX28gOw0KICAgIHNrb3M6ZXhhY3RNYXRjaCB3ZDpRNDg2NTk4IDsNCiAgICBweWVkdTphTml2ZWxEb21p\"\n", " \"bmlvIHB5cjphdmFuemFkbyA7DQogICAgcHllZHU6cGVydGVuZWNlQVRlbWEgcHlyOlRfYWxnb3JpdG1vcyA7DQogICAgcHllZHU6\"\n", " \"cmVxdWllcmVQcmVycmVxdWlzaXRvIHB5cjpyZWN1cnNpb24gOw0KICAgIHB5ZWR1OnRpZW5lRGlmaWN1bHRhZCA1IC4NCg0KcHly\"\n", " \"OnJhaXNlX2V4Y2VwY2lvbiBhIHB5ZWR1OkVzdHJ1Y3R1cmFEZUNvbnRyb2wgOw0KICAgIHJkZnM6bGFiZWwgInJhaXNlIkBlbiwN\"\n", " \"CiAgICAgICAgInJhaXNlIkBlcyA7DQogICAgcHllZHU6YU5pdmVsRG9taW5pbyBweXI6aW50ZXJtZWRpbyA7DQogICAgcHllZHU6\"\n", " \"cGVydGVuZWNlQVRlbWEgcHlyOlRfZXhjZXBjaW9uZXMgOw0KICAgIHB5ZWR1OnJlcXVpZXJlUHJlcnJlcXVpc2l0byBweXI6ZXhj\"\n", " \"ZXBjaW9uIDsNCiAgICBweWVkdTp0aWVuZURpZmljdWx0YWQgMyAuDQoNCnB5cjpyZWN1cnNpb25fY29sYSBhIHB5ZWR1OlByaW5j\"\n", " \"aXBpb1RyYW5zdmVyc2FsIDsNCiAgICByZGZzOmxhYmVsICJUYWlsIHJlY3Vyc2lvbiJAZW4sDQogICAgICAgICJSZWN1cnNpw7Nu\"\n", " \"IGRlIGNvbGEiQGVzIDsNCiAgICBza29zOmJyb2FkZXIgcHlyOnJlY3Vyc2lvbiA7DQogICAgcHllZHU6YU5pdmVsRG9taW5pbyBw\"\n", " \"eXI6YXZhbnphZG8gOw0KICAgIHB5ZWR1OnBlcnRlbmVjZUFUZW1hIHB5cjpUX3JlY3Vyc2lvbiA7DQogICAgcHllZHU6cmVxdWll\"\n", " \"cmVQcmVycmVxdWlzaXRvIHB5cjpyZWN1cnNpb24gOw0KICAgIHB5ZWR1OnRpZW5lRGlmaWN1bHRhZCA1IC4NCg0KcHlyOnJlZl9r\"\n", " \"ZXVuaW5nMjAxOSBhIHB5ZWR1OlJlY3Vyc28gOw0KICAgIHJkZnM6bGFiZWwgIktldW5pbmcsIEpldXJpbmcgJiBIZWVyZW4gKDIw\"\n", " \"MTkpLCBBIHN5c3RlbWF0aWMgbGl0ZXJhdHVyZSByZXZpZXcgb2YgYXV0b21hdGVkIGZlZWRiYWNrIGdlbmVyYXRpb24gZm9yIHBy\"\n", " \"b2dyYW1taW5nIGV4ZXJjaXNlcyJAZW4sDQogICAgICAgICJLZXVuaW5nIGV0IGFsLiAoMjAxOSk6IHJldmlzacOzbiBzaXN0ZW3D\"\n", " \"oXRpY2EgZGUgZ2VuZXJhY2nDs24gYXV0b23DoXRpY2EgZGUgZmVlZGJhY2siQGVzIDsNCiAgICBkY3Rlcm1zOmNyZWF0b3IgIkJh\"\n", " \"c3RpYWFuIEhlZXJlbiIsDQogICAgICAgICJIaWVrZSBLZXVuaW5nIiwNCiAgICAgICAgIkpvaGFuIEpldXJpbmciIDsNCiAgICBk\"\n", " \"Y3Rlcm1zOmRhdGUgIjIwMTkiXl54c2Q6Z1llYXIgOw0KICAgIGRjdGVybXM6aWRlbnRpZmllciAiMTAuMTE0NS8zMjMxNzExIiA7\"\n", " \"DQogICAgZGN0ZXJtczp0aXRsZSAiQSBzeXN0ZW1hdGljIGxpdGVyYXR1cmUgcmV2aWV3IG9mIGF1dG9tYXRlZCBmZWVkYmFjayBn\"\n", " \"ZW5lcmF0aW9uIGZvciBwcm9ncmFtbWluZyBleGVyY2lzZXMiQGVuIC4NCg0KcHlyOnNsaWNpbmdfc3RyIGEgcHllZHU6UHJpbmNp\"\n", " \"cGlvVHJhbnN2ZXJzYWwgOw0KICAgIHJkZnM6bGFiZWwgIlN0cmluZyBzbGljaW5nIkBlbiwNCiAgICAgICAgIlNsaWNpbmcgZGUg\"\n", " \"Y2FkZW5hcyJAZXMgOw0KICAgIHNrb3M6YnJvYWRlciBweXI6c2xpY2luZyA7DQogICAgcHllZHU6YU5pdmVsRG9taW5pbyBweXI6\"\n", " \"aW50ZXJtZWRpbyA7DQogICAgcHllZHU6cGVydGVuZWNlQVRlbWEgcHlyOlRfc3RyaW5ncyA7DQogICAgcHllZHU6cmVxdWllcmVQ\"\n", " \"cmVycmVxdWlzaXRvIHB5cjpzbGljaW5nLA0KICAgICAgICBweXI6dGlwb19zdHIgOw0KICAgIHB5ZWR1OnRpZW5lRGlmaWN1bHRh\"\n", " \"ZCAzIC4NCg0KcHlyOnRpcG9fYnl0ZXMgYSBweWVkdTpUaXBvRGVEYXRvIDsNCiAgICByZGZzOmxhYmVsICJCeXRlcyJAZW4sDQog\"\n", " \"ICAgICAgICJCeXRlcyJAZXMgOw0KICAgIHB5ZWR1OmFOaXZlbERvbWluaW8gcHlyOmludGVybWVkaW8gOw0KICAgIHB5ZWR1OnBl\"\n", " \"cnRlbmVjZUFUZW1hIHB5cjpUX3RpcG9zIDsNCiAgICBweWVkdTpyZXF1aWVyZVByZXJyZXF1aXNpdG8gcHlyOnRpcG9fc3RyIDsN\"\n", " \"CiAgICBweWVkdTp0aWVuZURpZmljdWx0YWQgMyAuDQoNCnB5cjp0aXBvX25vbmUgYSBweWVkdTpUaXBvRGVEYXRvIDsNCiAgICBy\"\n", " \"ZGZzOmxhYmVsICJOb25lVHlwZSJAZW4sDQogICAgICAgICJOb25lVHlwZSAoTm9uZSkiQGVzIDsNCiAgICBweWVkdTphTml2ZWxE\"\n", " \"b21pbmlvIHB5cjpiYXNpY28gOw0KICAgIHB5ZWR1OnBlcnRlbmVjZUFUZW1hIHB5cjpUX3RpcG9zIDsNCiAgICBweWVkdTp0aWVu\"\n", " \"ZURpZmljdWx0YWQgMSAuDQoNCnB5ZWR1OlJ1dGFBcHJlbmRpemFqZSBhIG93bDpDbGFzcyA7DQogICAgcmRmczpsYWJlbCAiTGVh\"\n", " \"cm5pbmcgcGF0aCJAZW4sDQogICAgICAgICJSdXRhIGRlIGFwcmVuZGl6YWplIkBlcyA7DQogICAgcmRmczpzdWJDbGFzc09mIHB5\"\n", " \"ZWR1OkVudGlkYWRFZHVjYXRpdmEgLg0KDQpweWVkdTplcnJvclNvYnJlQ29uY2VwdG8gYSBvd2w6T2JqZWN0UHJvcGVydHkgOw0K\"\n", " \"ICAgIHJkZnM6bGFiZWwgImlzIGEgbWlzY29uY2VwdGlvbiBhYm91dCJAZW4sDQogICAgICAgICJlcyB1biBlcnJvciBzb2JyZSBl\"\n", " \"bCBjb25jZXB0byJAZXMgOw0KICAgIHJkZnM6ZG9tYWluIHB5ZWR1OkVycm9yQ29uY2VwdHVhbCA7DQogICAgcmRmczpyYW5nZSBw\"\n", " \"eWVkdTpDb25jZXB0byAuDQoNCnB5ZWR1OmVzcGVjaWFsaXphIGEgb3dsOk9iamVjdFByb3BlcnR5IDsNCiAgICByZGZzOmxhYmVs\"\n", " \"ICJzcGVjaWFsaXNlcyJAZW4sDQogICAgICAgICJlc3BlY2lhbGl6YSBhIkBlcyA7DQogICAgcmRmczpkb21haW4gcHllZHU6Q29u\"\n", " \"Y2VwdG8gOw0KICAgIHJkZnM6cmFuZ2UgcHllZHU6Q29uY2VwdG8gLg0KDQpweWVkdTpyZXF1aWVyZVByZXJyZXF1aXNpdG8gYSBv\"\n", " \"d2w6T2JqZWN0UHJvcGVydHksDQogICAgICAgIG93bDpUcmFuc2l0aXZlUHJvcGVydHkgOw0KICAgIHJkZnM6bGFiZWwgInJlcXVp\"\n", " \"cmVzIHByZXJlcXVpc2l0ZSJAZW4sDQogICAgICAgICJyZXF1aWVyZSBjb21vIHByZXJyZXF1aXNpdG8iQGVzIDsNCiAgICByZGZz\"\n", " \"OmRvbWFpbiBweWVkdTpDb25jZXB0byA7DQogICAgcmRmczpyYW5nZSBweWVkdTpDb25jZXB0byAuDQoNCnB5cjpUX2NvbXBsZWpp\"\n", " \"ZGFkIGEgcHllZHU6VGVtYSA7DQogICAgcmRmczpsYWJlbCAiQWxnb3JpdGhtaWMgY29tcGxleGl0eSJAZW4sDQogICAgICAgICJD\"\n", " \"b21wbGVqaWRhZCBhbGdvcsOtdG1pY2EiQGVzIC4NCg0KcHlyOmFtYml0byBhIHB5ZWR1OlByaW5jaXBpb1RyYW5zdmVyc2FsIDsN\"\n", " \"CiAgICByZGZzOmxhYmVsICJWYXJpYWJsZSBzY29wZSJAZW4sDQogICAgICAgICLDgW1iaXRvIGRlIHZhcmlhYmxlcyAoc2NvcGUp\"\n", " \"IkBlcyA7DQogICAgcHllZHU6cGVydGVuZWNlQVRlbWEgcHlyOlRfZnVuY2lvbmVzIDsNCiAgICBweWVkdTpyZXF1aWVyZVByZXJy\"\n", " \"ZXF1aXNpdG8gcHlyOmZ1bmNpb24gOw0KICAgIHB5ZWR1OnRpZW5lRGlmaWN1bHRhZCAzIC4NCg0KcHlyOmFzeW5jX2F3YWl0IGEg\"\n", " \"cHllZHU6RXN0cnVjdHVyYURlQ29udHJvbCA7DQogICAgcmRmczpsYWJlbCAiYXN5bmMvYXdhaXQiQGVuLA0KICAgICAgICAiYXN5\"\n", " \"bmMvYXdhaXQiQGVzIDsNCiAgICBweWVkdTphTml2ZWxEb21pbmlvIHB5cjphdmFuemFkbyA7DQogICAgcHllZHU6cGVydGVuZWNl\"\n", " \"QVRlbWEgcHlyOlRfY29uY3VycmVuY2lhIDsNCiAgICBweWVkdTpyZXF1aWVyZVByZXJyZXF1aXNpdG8gcHlyOmZ1bmNpb24gOw0K\"\n", " \"ICAgIHB5ZWR1OnRpZW5lRGlmaWN1bHRhZCA1IC4NCg0KcHlyOmJ1Y2xlX3doaWxlIGEgcHllZHU6RXN0cnVjdHVyYURlQ29udHJv\"\n", " \"bCA7DQogICAgcmRmczpsYWJlbCAiV2hpbGUgbG9vcCJAZW4sDQogICAgICAgICJCdWNsZSB3aGlsZSJAZXMgOw0KICAgIHB5ZWR1\"\n", " \"OnBlcnRlbmVjZUFUZW1hIHB5cjpUX2NvbnRyb2wgOw0KICAgIHB5ZWR1OnJlcXVpZXJlUHJlcnJlcXVpc2l0byBweXI6Y29uZGlj\"\n", " \"aW9uYWwgOw0KICAgIHB5ZWR1OnRpZW5lRGlmaWN1bHRhZCAyIC4NCg0KcHlyOmNsb3N1cmUgYSBweWVkdTpQcmluY2lwaW9UcmFu\"\n", " \"c3ZlcnNhbCA7DQogICAgcmRmczpsYWJlbCAiQ2xvc3VyZSJAZW4sDQogICAgICAgICJDbGF1c3VyYSAoY2xvc3VyZSkiQGVzIDsN\"\n", " \"CiAgICBza29zOmV4YWN0TWF0Y2ggd2Q6UTUzNTMzNSA7DQogICAgcHllZHU6YU5pdmVsRG9taW5pbyBweXI6YXZhbnphZG8gOw0K\"\n", " \"ICAgIHB5ZWR1OnBlcnRlbmVjZUFUZW1hIHB5cjpUX2Z1bmNpb25hbCA7DQogICAgcHllZHU6cmVxdWllcmVQcmVycmVxdWlzaXRv\"\n", " \"IHB5cjphbWJpdG8sDQogICAgICAgIHB5cjpmdW5jaW9uIDsNCiAgICBweWVkdTp0aWVuZURpZmljdWx0YWQgNCAuDQoNCnB5cjpj\"\n", " \"b21wbGVqaWRhZCBhIHB5ZWR1OlByaW5jaXBpb1RyYW5zdmVyc2FsIDsNCiAgICByZGZzOmxhYmVsICJUaW1lIGNvbXBsZXhpdHki\"\n", " \"QGVuLA0KICAgICAgICAiQ29tcGxlamlkYWQgdGVtcG9yYWwiQGVzIDsNCiAgICBza29zOmV4YWN0TWF0Y2ggd2Q6UTIzOTMxOTMg\"\n", " \"Ow0KICAgIHB5ZWR1OmFOaXZlbERvbWluaW8gcHlyOmF2YW56YWRvIDsNCiAgICBweWVkdTpwZXJ0ZW5lY2VBVGVtYSBweXI6VF9j\"\n", " \"b21wbGVqaWRhZCA7DQogICAgcHllZHU6dGllbmVEaWZpY3VsdGFkIDUgLg0KDQpweXI6Y29uanVudG8gYSBweWVkdTpFc3RydWN0\"\n", " \"dXJhRGVEYXRvcyA7DQogICAgcmRmczpsYWJlbCAiU2V0IkBlbiwNCiAgICAgICAgIkNvbmp1bnRvIChzZXQpIkBlcyA7DQogICAg\"\n", " \"c2tvczpleGFjdE1hdGNoIHdkOlExNTE0NzQxIDsNCiAgICBza29zOnJlbGF0ZWQgcHlyOmxpc3RhIDsNCiAgICBweWVkdTpwZXJ0\"\n", " \"ZW5lY2VBVGVtYSBweXI6VF9lc3RydWN0dXJhcyA7DQogICAgcHllZHU6dGllbmVEaWZpY3VsdGFkIDMgLg0KDQpweXI6ZHVuZGVy\"\n", " \"IGEgcHllZHU6UGFyYWRpZ21hIDsNCiAgICByZGZzOmxhYmVsICJEdW5kZXIgbWV0aG9kcyJAZW4sDQogICAgICAgICJNw6l0b2Rv\"\n", " \"cyBlc3BlY2lhbGVzIChkdW5kZXIpIkBlcyA7DQogICAgcHllZHU6YU5pdmVsRG9taW5pbyBweXI6YXZhbnphZG8gOw0KICAgIHB5\"\n", " \"ZWR1OnBlcnRlbmVjZUFUZW1hIHB5cjpUX3BvbyA7DQogICAgcHllZHU6cmVxdWllcmVQcmVycmVxdWlzaXRvIHB5cjptZXRvZG8g\"\n", " \"Ow0KICAgIHB5ZWR1OnRpZW5lRGlmaWN1bHRhZCA0IC4NCg0KcHlyOmVycl9vZmZfYnlfb25lIGEgcHllZHU6RXJyb3JDb25jZXB0\"\n", " \"dWFsIDsNCiAgICByZGZzOmxhYmVsICJPZmYtYnktb25lIGVycm9yIkBlbiwNCiAgICAgICAgIkVycm9yIGRlIMOtbmRpY2UgcG9y\"\n", " \"IHVubyAob2ZmLWJ5LW9uZSkiQGVzIDsNCiAgICByZGZzOmNvbW1lbnQgIkNvbmZ1c2nDs24gZW4gbGEgY29uZGljacOzbiBkZSBw\"\n", " \"YXJhZGEgZGUgdW4gYnVjbGUgbyBlbiBsb3MgbMOtbWl0ZXMgZGUgdW4gcmFuZ28vw61uZGljZS4iQGVzIDsNCiAgICBweWVkdTpl\"\n", " \"cnJvclNvYnJlQ29uY2VwdG8gcHlyOmluZGV4YWNpb24gOw0KICAgIHB5ZWR1OnRpZW5lRGlmaWN1bHRhZCAzIC4NCg0KcHlyOmhp\"\n", " \"bG9zIGEgcHllZHU6UGFyYWRpZ21hIDsNCiAgICByZGZzOmxhYmVsICJUaHJlYWRzIkBlbiwNCiAgICAgICAgIkhpbG9zICh0aHJl\"\n", " \"YWRpbmcpIkBlcyA7DQogICAgc2tvczpyZWxhdGVkIHB5cjptdWx0aXByb2Nlc28gOw0KICAgIHB5ZWR1OmFOaXZlbERvbWluaW8g\"\n", " \"cHlyOmF2YW56YWRvIDsNCiAgICBweWVkdTpjb250cmFzdGFDb24gcHlyOm11bHRpcHJvY2VzbyA7DQogICAgcHllZHU6cGVydGVu\"\n", " \"ZWNlQVRlbWEgcHlyOlRfY29uY3VycmVuY2lhIDsNCiAgICBweWVkdTpyZXF1aWVyZVByZXJyZXF1aXNpdG8gcHlyOmdpbCA7DQog\"\n", " \"ICAgcHllZHU6dGllbmVEaWZpY3VsdGFkIDUgLg0KDQpweXI6bXVsdGlwcm9jZXNvIGEgcHllZHU6UGFyYWRpZ21hIDsNCiAgICBy\"\n", " \"ZGZzOmxhYmVsICJNdWx0aXByb2Nlc3NpbmciQGVuLA0KICAgICAgICAiTXVsdGlwcm9jZXNvIkBlcyA7DQogICAgc2tvczpyZWxh\"\n", " \"dGVkIHB5cjpoaWxvcyA7DQogICAgcHllZHU6YU5pdmVsRG9taW5pbyBweXI6YXZhbnphZG8gOw0KICAgIHB5ZWR1OmNvbnRyYXN0\"\n", " \"YUNvbiBweXI6aGlsb3MgOw0KICAgIHB5ZWR1OnBlcnRlbmVjZUFUZW1hIHB5cjpUX2NvbmN1cnJlbmNpYSA7DQogICAgcHllZHU6\"\n", " \"cmVxdWllcmVQcmVycmVxdWlzaXRvIHB5cjpnaWwgOw0KICAgIHB5ZWR1OnRpZW5lRGlmaWN1bHRhZCA1IC4NCg0KcHlyOm9iamV0\"\n", " \"byBhIHB5ZWR1OlBhcmFkaWdtYSA7DQogICAgcmRmczpsYWJlbCAiT2JqZWN0IkBlbiwNCiAgICAgICAgIk9iamV0byAvIGluc3Rh\"\n", " \"bmNpYSJAZXMgOw0KICAgIHB5ZWR1OmFOaXZlbERvbWluaW8gcHlyOmludGVybWVkaW8gOw0KICAgIHB5ZWR1OnBlcnRlbmVjZUFU\"\n", " \"ZW1hIHB5cjpUX3BvbyA7DQogICAgcHllZHU6cmVxdWllcmVQcmVycmVxdWlzaXRvIHB5cjpjbGFzZSA7DQogICAgcHllZHU6dGll\"\n", " \"bmVEaWZpY3VsdGFkIDMgLg0KDQpweXI6cGFxdWV0ZSBhIHB5ZWR1Ok1vZHVsb0xpYnJlcmlhIDsNCiAgICByZGZzOmxhYmVsICJQ\"\n", " \"YWNrYWdlIkBlbiwNCiAgICAgICAgIlBhcXVldGUiQGVzIDsNCiAgICBweWVkdTphTml2ZWxEb21pbmlvIHB5cjppbnRlcm1lZGlv\"\n", " \"IDsNCiAgICBweWVkdTpwZXJ0ZW5lY2VBVGVtYSBweXI6VF9tb2R1bG9zIDsNCiAgICBweWVkdTpyZXF1aWVyZVByZXJyZXF1aXNp\"\n", " \"dG8gcHlyOmltcG9ydF9tb2QgOw0KICAgIHB5ZWR1OnRpZW5lRGlmaWN1bHRhZCAzIC4NCg0KcHlyOnRpcG9fZmxvYXQgYSBweWVk\"\n", " \"dTpUaXBvRGVEYXRvIDsNCiAgICByZGZzOmxhYmVsICJGbG9hdCJAZW4sDQogICAgICAgICJGbG90YW50ZSAoZmxvYXQpIkBlcyA7\"\n", " \"DQogICAgcHllZHU6YU5pdmVsRG9taW5pbyBweXI6YmFzaWNvIDsNCiAgICBweWVkdTpjb250cmFzdGFDb24gcHlyOnRpcG9faW50\"\n", " \"IDsNCiAgICBweWVkdTpwZXJ0ZW5lY2VBVGVtYSBweXI6VF90aXBvcyA7DQogICAgcHllZHU6dGllbmVEaWZpY3VsdGFkIDEgLg0K\"\n", " \"DQpweXI6dGlwb19pbnQgYSBweWVkdTpUaXBvRGVEYXRvIDsNCiAgICByZGZzOmxhYmVsICJJbnRlZ2VyIChpbnQpIkBlbiwNCiAg\"\n", " \"ICAgICAgIkVudGVybyAoaW50KSJAZXMgOw0KICAgIHB5ZWR1OnBlcnRlbmVjZUFUZW1hIHB5cjpUX2Z1bmRhbWVudG9zIDsNCiAg\"\n", " \"ICBweWVkdTp0aWVuZURpZmljdWx0YWQgMSAuDQoNCnB5cjp2YXJpYWJsZSBhIHB5ZWR1OlByaW5jaXBpb1RyYW5zdmVyc2FsIDsN\"\n", " \"CiAgICByZGZzOmxhYmVsICJWYXJpYWJsZSJAZW4sDQogICAgICAgICJWYXJpYWJsZSJAZXMgOw0KICAgIHJkZnM6Y29tbWVudCAi\"\n", " \"Tm9tYnJlIGFzb2NpYWRvIGEgdW4gdmFsb3IgZW4gbWVtb3JpYS4iQGVzIDsNCiAgICBweWVkdTphTml2ZWxEb21pbmlvIHB5cjpi\"\n", " \"YXNpY28gOw0KICAgIHB5ZWR1OnBlcnRlbmVjZUFUZW1hIHB5cjpUX2Z1bmRhbWVudG9zIDsNCiAgICBweWVkdTp0aWVuZURpZmlj\"\n", " \"dWx0YWQgMSA7DQogICAgcHllZHU6dGllbmVFamVtcGxvQ29kaWdvICJ4ID0gNDIiIC4NCg0KcHlyOndpdGhfY29udGV4dCBhIHB5\"\n", " \"ZWR1OkVzdHJ1Y3R1cmFEZUNvbnRyb2wgOw0KICAgIHJkZnM6bGFiZWwgIndpdGggc3RhdGVtZW50IkBlbiwNCiAgICAgICAgIlNl\"\n", " \"bnRlbmNpYSB3aXRoIkBlcyA7DQogICAgcHllZHU6YU5pdmVsRG9taW5pbyBweXI6YXZhbnphZG8gOw0KICAgIHB5ZWR1OnBlcnRl\"\n", " \"bmVjZUFUZW1hIHB5cjpUX2NvbnRyb2wgOw0KICAgIHB5ZWR1OnJlcXVpZXJlUHJlcnJlcXVpc2l0byBweXI6ZXhjZXBjaW9uIDsN\"\n", " \"CiAgICBweWVkdTp0aWVuZURpZmljdWx0YWQgNCAuDQoNCnB5ZWR1OkNvbXBldGVuY2lhIGEgb3dsOkNsYXNzIDsNCiAgICByZGZz\"\n", " \"OmxhYmVsICJDb21wZXRlbmN5IkBlbiwNCiAgICAgICAgIkNvbXBldGVuY2lhIkBlcyA7DQogICAgcmRmczpzdWJDbGFzc09mIHB5\"\n", " \"ZWR1OkVudGlkYWRFZHVjYXRpdmEgLg0KDQpweXI6VF9yZWN1cnNpb24gYSBweWVkdTpUZW1hIDsNCiAgICByZGZzOmxhYmVsICJS\"\n", " \"ZWN1cnNpb24iQGVuLA0KICAgICAgICAiUmVjdXJzacOzbiJAZXMgLg0KDQpweXI6YWJyaXJfZmljaGVybyBhIHB5ZWR1OkZ1bmNp\"\n", " \"b25JbnRlZ3JhZGEgOw0KICAgIHJkZnM6bGFiZWwgIkZpbGUgb3BlbiJAZW4sDQogICAgICAgICJBcGVydHVyYSBkZSBmaWNoZXJv\"\n", " \"cyAob3BlbikiQGVzIDsNCiAgICBweWVkdTphTml2ZWxEb21pbmlvIHB5cjppbnRlcm1lZGlvIDsNCiAgICBweWVkdTpwZXJ0ZW5l\"\n", " \"Y2VBVGVtYSBweXI6VF9maWNoZXJvcyA7DQogICAgcHllZHU6cmVxdWllcmVQcmVycmVxdWlzaXRvIHB5cjp3aXRoX2NvbnRleHQg\"\n", " \"Ow0KICAgIHB5ZWR1OnRpZW5lRGlmaWN1bHRhZCAzIC4NCg0KcHlyOmJmcyBhIHB5ZWR1OlByaW5jaXBpb1RyYW5zdmVyc2FsIDsN\"\n", " \"CiAgICByZGZzOmxhYmVsICJCcmVhZHRoLWZpcnN0IHNlYXJjaCJAZW4sDQogICAgICAgICJSZWNvcnJpZG8gZW4gYW5jaHVyYSAo\"\n", " \"QkZTKSJAZXMgOw0KICAgIHNrb3M6YnJvYWRlciBweXI6Z3JhZm9fZXN0ciA7DQogICAgc2tvczpleGFjdE1hdGNoIHdkOlEzMjU5\"\n", " \"MDQgOw0KICAgIHNrb3M6cmVsYXRlZCBweXI6ZGZzIDsNCiAgICBweWVkdTphTml2ZWxEb21pbmlvIHB5cjphdmFuemFkbyA7DQog\"\n", " \"ICAgcHllZHU6Y29udHJhc3RhQ29uIHB5cjpkZnMgOw0KICAgIHB5ZWR1OnBlcnRlbmVjZUFUZW1hIHB5cjpUX2FsZ29yaXRtb3Mg\"\n", " \"Ow0KICAgIHB5ZWR1OnJlcXVpZXJlUHJlcnJlcXVpc2l0byBweXI6Y29sYSwNCiAgICAgICAgcHlyOmdyYWZvX2VzdHIgOw0KICAg\"\n", " \"IHB5ZWR1OnRpZW5lRGlmaWN1bHRhZCA1IC4NCg0KcHlyOmNvcGlhX3N1cGVyZmljaWFsIGEgcHllZHU6UHJpbmNpcGlvVHJhbnN2\"\n", " \"ZXJzYWwgOw0KICAgIHJkZnM6bGFiZWwgIlNoYWxsb3cgY29weSJAZW4sDQogICAgICAgICJDb3BpYSBzdXBlcmZpY2lhbCJAZXMg\"\n", " \"Ow0KICAgIHB5ZWR1OmFOaXZlbERvbWluaW8gcHlyOmF2YW56YWRvIDsNCiAgICBweWVkdTpwZXJ0ZW5lY2VBVGVtYSBweXI6VF90\"\n", " \"aXBvcyA7DQogICAgcHllZHU6cmVxdWllcmVQcmVycmVxdWlzaXRvIHB5cjpsaXN0YSwNCiAgICAgICAgcHlyOm11dGFiaWxpZGFk\"\n", " \"IDsNCiAgICBweWVkdTp0aWVuZURpZmljdWx0YWQgNCAuDQoNCnB5cjpkZnMgYSBweWVkdTpQcmluY2lwaW9UcmFuc3ZlcnNhbCA7\"\n", " \"DQogICAgcmRmczpsYWJlbCAiRGVwdGgtZmlyc3Qgc2VhcmNoIkBlbiwNCiAgICAgICAgIlJlY29ycmlkbyBlbiBwcm9mdW5kaWRh\"\n", " \"ZCAoREZTKSJAZXMgOw0KICAgIHNrb3M6YnJvYWRlciBweXI6Z3JhZm9fZXN0ciA7DQogICAgc2tvczpleGFjdE1hdGNoIHdkOlE4\"\n", " \"MTYzMTkgOw0KICAgIHNrb3M6cmVsYXRlZCBweXI6YmZzIDsNCiAgICBweWVkdTphTml2ZWxEb21pbmlvIHB5cjphdmFuemFkbyA7\"\n", " \"DQogICAgcHllZHU6Y29udHJhc3RhQ29uIHB5cjpiZnMgOw0KICAgIHB5ZWR1OnBlcnRlbmVjZUFUZW1hIHB5cjpUX2FsZ29yaXRt\"\n", " \"b3MgOw0KICAgIHB5ZWR1OnJlcXVpZXJlUHJlcnJlcXVpc2l0byBweXI6Z3JhZm9fZXN0ciwNCiAgICAgICAgcHlyOnJlY3Vyc2lv\"\n", " \"biA7DQogICAgcHllZHU6dGllbmVEaWZpY3VsdGFkIDUgLg0KDQpweXI6Z2lsIGEgcHllZHU6UHJpbmNpcGlvVHJhbnN2ZXJzYWwg\"\n", " \"Ow0KICAgIHJkZnM6bGFiZWwgIkdsb2JhbCBJbnRlcnByZXRlciBMb2NrIkBlbiwNCiAgICAgICAgIkdJTCJAZXMgOw0KICAgIHNr\"\n", " \"b3M6ZXhhY3RNYXRjaCB3ZDpRNTU3MDQ1MSA7DQogICAgcHllZHU6YU5pdmVsRG9taW5pbyBweXI6YXZhbnphZG8gOw0KICAgIHB5\"\n", " \"ZWR1OnBlcnRlbmVjZUFUZW1hIHB5cjpUX2NvbmN1cnJlbmNpYSA7DQogICAgcHllZHU6dGllbmVEaWZpY3VsdGFkIDUgLg0KDQpw\"\n", " \"eXI6aGVyZW5jaWFfbXVsdGlwbGUgYSBweWVkdTpQYXJhZGlnbWEgOw0KICAgIHJkZnM6bGFiZWwgIk11bHRpcGxlIGluaGVyaXRh\"\n", " \"bmNlIkBlbiwNCiAgICAgICAgIkhlcmVuY2lhIG3Dumx0aXBsZSJAZXMgOw0KICAgIHNrb3M6YnJvYWRlciBweXI6aGVyZW5jaWEg\"\n", " \"Ow0KICAgIHB5ZWR1OmFOaXZlbERvbWluaW8gcHlyOmF2YW56YWRvIDsNCiAgICBweWVkdTpwZXJ0ZW5lY2VBVGVtYSBweXI6VF9w\"\n", " \"b28gOw0KICAgIHB5ZWR1OnJlcXVpZXJlUHJlcnJlcXVpc2l0byBweXI6aGVyZW5jaWEgOw0KICAgIHB5ZWR1OnRpZW5lRGlmaWN1\"\n", " \"bHRhZCA1IC4NCg0KcHlyOm11dGFiaWxpZGFkIGEgcHllZHU6UHJpbmNpcGlvVHJhbnN2ZXJzYWwgOw0KICAgIHJkZnM6bGFiZWwg\"\n", " \"Ik11dGFiaWxpdHkiQGVuLA0KICAgICAgICAiTXV0YWJpbGlkYWQiQGVzIDsNCiAgICByZGZzOmNvbW1lbnQgIlByb3BpZWRhZCBk\"\n", " \"ZSBsb3Mgb2JqZXRvcyBjdXlvIGVzdGFkbyBwdWVkZSBjYW1iaWFyIHRyYXMgc3UgY3JlYWNpw7NuLiJAZXMgOw0KICAgIHB5ZWR1\"\n", " \"OmFOaXZlbERvbWluaW8gcHlyOmF2YW56YWRvIDsNCiAgICBweWVkdTpjb250cmFzdGFDb24gcHlyOnR1cGxhIDsNCiAgICBweWVk\"\n", " \"dTpwZXJ0ZW5lY2VBVGVtYSBweXI6VF9lc3RydWN0dXJhcyA7DQogICAgcHllZHU6dGllbmVEaWZpY3VsdGFkIDQgLg0KDQpweXI6\"\n", " \"cGFyYW1ldHJvcyBhIHB5ZWR1OlByaW5jaXBpb1RyYW5zdmVyc2FsIDsNCiAgICByZGZzOmxhYmVsICJQYXJhbWV0ZXJzIkBlbiwN\"\n", " \"CiAgICAgICAgIlBhcsOhbWV0cm9zIHkgYXJndW1lbnRvcyJAZXMgOw0KICAgIHB5ZWR1OmFOaXZlbERvbWluaW8gcHlyOmJhc2lj\"\n", " \"byA7DQogICAgcHllZHU6cGVydGVuZWNlQVRlbWEgcHlyOlRfZnVuY2lvbmVzIDsNCiAgICBweWVkdTpyZXF1aWVyZVByZXJyZXF1\"\n", " \"aXNpdG8gcHlyOmZ1bmNpb24gOw0KICAgIHB5ZWR1OnRpZW5lRGlmaWN1bHRhZCAyIC4NCg0KcHlyOnBpbGEgYSBweWVkdTpFc3Ry\"\n", " \"dWN0dXJhRGVEYXRvcyA7DQogICAgcmRmczpsYWJlbCAiU3RhY2siQGVuLA0KICAgICAgICAiUGlsYSAoc3RhY2spIkBlcyA7DQog\"\n", " \"ICAgc2tvczpicm9hZGVyIHB5cjpsaXN0YSA7DQogICAgc2tvczpyZWxhdGVkIHB5cjpjb2xhIDsNCiAgICBweWVkdTphTml2ZWxE\"\n", " \"b21pbmlvIHB5cjpiYXNpY28gOw0KICAgIHB5ZWR1OmNvbnRyYXN0YUNvbiBweXI6Y29sYSA7DQogICAgcHllZHU6cGVydGVuZWNl\"\n", " \"QVRlbWEgcHlyOlRfZXN0cnVjdHVyYXMgOw0KICAgIHB5ZWR1OnJlcXVpZXJlUHJlcnJlcXVpc2l0byBweXI6bGlzdGEgOw0KICAg\"\n", " \"IHB5ZWR1OnRpZW5lRGlmaWN1bHRhZCAyIC4NCg0KcHlyOnNsaWNpbmcgYSBweWVkdTpQcmluY2lwaW9UcmFuc3ZlcnNhbCA7DQog\"\n", " \"ICAgcmRmczpsYWJlbCAiU2xpY2luZyJAZW4sDQogICAgICAgICJTbGljaW5nIChyZWJhbmFkbykiQGVzIDsNCiAgICBza29zOmJy\"\n", " \"b2FkZXIgcHlyOmluZGV4YWNpb24gOw0KICAgIHNrb3M6bmFycm93ZXIgcHlyOnNsaWNpbmdfc3RyIDsNCiAgICBweWVkdTpwZXJ0\"\n", " \"ZW5lY2VBVGVtYSBweXI6VF9lc3RydWN0dXJhcyA7DQogICAgcHllZHU6cmVxdWllcmVQcmVycmVxdWlzaXRvIHB5cjppbmRleGFj\"\n", " \"aW9uIDsNCiAgICBweWVkdTp0aWVuZURpZmljdWx0YWQgMyAuDQoNCnB5cjp0aXBvX2Jvb2wgYSBweWVkdTpUaXBvRGVEYXRvIDsN\"\n", " \"CiAgICByZGZzOmxhYmVsICJCb29sZWFuIChib29sKSJAZW4sDQogICAgICAgICJCb29sZWFubyAoYm9vbCkiQGVzIDsNCiAgICBw\"\n", " \"eWVkdTpwZXJ0ZW5lY2VBVGVtYSBweXI6VF9mdW5kYW1lbnRvcyA7DQogICAgcHllZHU6dGllbmVEaWZpY3VsdGFkIDEgLg0KDQpw\"\n", " \"eXI6YnVzcXVlZGFfYmluYXJpYSBhIHB5ZWR1OlByaW5jaXBpb1RyYW5zdmVyc2FsIDsNCiAgICByZGZzOmxhYmVsICJCaW5hcnkg\"\n", " \"c2VhcmNoIkBlbiwNCiAgICAgICAgIkLDunNxdWVkYSBiaW5hcmlhIkBlcyA7DQogICAgc2tvczpleGFjdE1hdGNoIHdkOlEyNDM3\"\n", " \"NTQgOw0KICAgIHNrb3M6cHJlZkxhYmVsICJCw7pzcXVlZGEgYmluYXJpYSJAZXMgOw0KICAgIHNrb3M6cmVsYXRlZCBweXI6YnVz\"\n", " \"cXVlZGFfbGluZWFsIDsNCiAgICBweWVkdTpwZXJ0ZW5lY2VBVGVtYSBweXI6VF9jb21wbGVqaWRhZCA7DQogICAgcHllZHU6cmVx\"\n", " \"dWllcmVQcmVycmVxdWlzaXRvIHB5cjpidWNsZV93aGlsZSwNCiAgICAgICAgcHlyOmluZGV4YWNpb24gOw0KICAgIHB5ZWR1OnNl\"\n", " \"QXBsaWNhQSBweXI6bGlzdGEgOw0KICAgIHB5ZWR1OnRpZW5lRGlmaWN1bHRhZCA0IC4NCg0KcHlyOmNvbGEgYSBweWVkdTpFc3Ry\"\n", " \"dWN0dXJhRGVEYXRvcyA7DQogICAgcmRmczpsYWJlbCAiUXVldWUiQGVuLA0KICAgICAgICAiQ29sYSAocXVldWUpIkBlcyA7DQog\"\n", " \"ICAgc2tvczpicm9hZGVyIHB5cjpsaXN0YSA7DQogICAgc2tvczpyZWxhdGVkIHB5cjpwaWxhIDsNCiAgICBweWVkdTphTml2ZWxE\"\n", " \"b21pbmlvIHB5cjpiYXNpY28gOw0KICAgIHB5ZWR1OmNvbnRyYXN0YUNvbiBweXI6cGlsYSA7DQogICAgcHllZHU6cGVydGVuZWNl\"\n", " \"QVRlbWEgcHlyOlRfZXN0cnVjdHVyYXMgOw0KICAgIHB5ZWR1OnJlcXVpZXJlUHJlcnJlcXVpc2l0byBweXI6bGlzdGEgOw0KICAg\"\n", " \"IHB5ZWR1OnRpZW5lRGlmaWN1bHRhZCAyIC4NCg0KcHlyOmVqX2ZhY3RvcmlhbCBhIHB5ZWR1OkVqZXJjaWNpbyA7DQogICAgcmRm\"\n", " \"czpsYWJlbCAiUmVjdXJzaXZlIGZhY3RvcmlhbCJAZW4sDQogICAgICAgICJGYWN0b3JpYWwgcmVjdXJzaXZvIkBlcyA7DQogICAg\"\n", " \"cHllZHU6Y3VicmVDb25jZXB0byBweXI6ZnVuY2lvbiwNCiAgICAgICAgcHlyOnJlY3Vyc2lvbiA7DQogICAgcHllZHU6dGllbmVE\"\n", " \"aWZpY3VsdGFkIDMgOw0KICAgIHB5ZWR1OnRpZW5lRW51bmNpYWRvICJJbXBsZW1lbnRhIGVsIGZhY3RvcmlhbCBkZSBuIGRlIGZv\"\n", " \"cm1hIHJlY3Vyc2l2YS4iQGVzIC4NCg0KcHlyOmVqX3N1bWFfbGlzdGEgYSBweWVkdTpFamVyY2ljaW8gOw0KICAgIHJkZnM6bGFi\"\n", " \"ZWwgIlN1bSB0aGUgZWxlbWVudHMgb2YgYSBsaXN0IkBlbiwNCiAgICAgICAgIlN1bWEgZGUgbG9zIGVsZW1lbnRvcyBkZSB1bmEg\"\n", " \"bGlzdGEiQGVzIDsNCiAgICBweWVkdTpjdWJyZUNvbmNlcHRvIHB5cjpidWNsZV9mb3IsDQogICAgICAgIHB5cjpmdW5jaW9uLA0K\"\n", " \"ICAgICAgICBweXI6bGlzdGEgOw0KICAgIHB5ZWR1OnRpZW5lRGlmaWN1bHRhZCAyIDsNCiAgICBweWVkdTp0aWVuZUVudW5jaWFk\"\n", " \"byAiRXNjcmliZSB1bmEgZnVuY2nDs24gcXVlIHJlY2liYSB1bmEgbGlzdGEgZGUgZW50ZXJvcyB5IGRldnVlbHZhIHN1IHN1bWEg\"\n", " \"dXNhbmRvIHVuIGJ1Y2xlLiJAZXMgLg0KDQpweXI6Z2VuZXJhZG9yIGEgcHllZHU6RXN0cnVjdHVyYURlQ29udHJvbCA7DQogICAg\"\n", " \"cmRmczpsYWJlbCAiR2VuZXJhdG9yIkBlbiwNCiAgICAgICAgIkdlbmVyYWRvciAoeWllbGQpIkBlcyA7DQogICAgc2tvczpleGFj\"\n", " \"dE1hdGNoIHdkOlEyNTY1MTg3IDsNCiAgICBweWVkdTphTml2ZWxEb21pbmlvIHB5cjphdmFuemFkbyA7DQogICAgcHllZHU6cGVy\"\n", " \"dGVuZWNlQVRlbWEgcHlyOlRfZnVuY2lvbmFsIDsNCiAgICBweWVkdTpyZXF1aWVyZVByZXJyZXF1aXNpdG8gcHlyOmZ1bmNpb24s\"\n", " \"DQogICAgICAgIHB5cjppdGVyYWRvciA7DQogICAgcHllZHU6dGllbmVEaWZpY3VsdGFkIDQgLg0KDQpweXI6Z3JhZm9fZXN0ciBh\"\n", " \"IHB5ZWR1OkVzdHJ1Y3R1cmFEZURhdG9zIDsNCiAgICByZGZzOmxhYmVsICJHcmFwaCJAZW4sDQogICAgICAgICJHcmFmbyAoZXN0\"\n", " \"cnVjdHVyYSkiQGVzIDsNCiAgICBza29zOmV4YWN0TWF0Y2ggd2Q6UTI0Nzk3MjYgOw0KICAgIHNrb3M6bmFycm93ZXIgcHlyOmJm\"\n", " \"cywNCiAgICAgICAgcHlyOmRmcyA7DQogICAgcHllZHU6YU5pdmVsRG9taW5pbyBweXI6YXZhbnphZG8gOw0KICAgIHB5ZWR1OnBl\"\n", " \"cnRlbmVjZUFUZW1hIHB5cjpUX2FsZ29yaXRtb3MgOw0KICAgIHB5ZWR1OnJlcXVpZXJlUHJlcnJlcXVpc2l0byBweXI6ZGljY2lv\"\n", " \"bmFyaW8gOw0KICAgIHB5ZWR1OnRpZW5lRGlmaWN1bHRhZCA0IC4NCg0KcHlyOm5vdGFjaW9uX28gYSBweWVkdTpQcmluY2lwaW9U\"\n", " \"cmFuc3ZlcnNhbCA7DQogICAgcmRmczpsYWJlbCAiQmlnLU8gbm90YXRpb24iQGVuLA0KICAgICAgICAiTm90YWNpw7NuIE8gZ3Jh\"\n", " \"bmRlIkBlcyA7DQogICAgc2tvczpleGFjdE1hdGNoIHdkOlEyNjk4NzggOw0KICAgIHNrb3M6bmFycm93ZXIgcHlyOm9yZGVuYWNp\"\n", " \"b25fYnVyYnVqYSwNCiAgICAgICAgcHlyOm9yZGVuYWNpb25fbWV6Y2xhLA0KICAgICAgICBweXI6b3JkZW5hY2lvbl9yYXBpZGEg\"\n", " \"Ow0KICAgIHB5ZWR1OmFOaXZlbERvbWluaW8gcHlyOmF2YW56YWRvIDsNCiAgICBweWVkdTpwZXJ0ZW5lY2VBVGVtYSBweXI6VF9h\"\n", " \"bGdvcml0bW9zIDsNCiAgICBweWVkdTpyZXF1aWVyZVByZXJyZXF1aXNpdG8gcHlyOmNvbXBsZWppZGFkIDsNCiAgICBweWVkdTp0\"\n", " \"aWVuZURpZmljdWx0YWQgNCAuDQoNCnB5ZWR1Ok5pdmVsRG9taW5pbyBhIG93bDpDbGFzcyA7DQogICAgcmRmczpsYWJlbCAiTWFz\"\n", " \"dGVyeSBsZXZlbCJAZW4sDQogICAgICAgICJOaXZlbCBkZSBkb21pbmlvIkBlcyA7DQogICAgcmRmczpzdWJDbGFzc09mIHNrb3M6\"\n", " \"Q29uY2VwdCAuDQoNCnB5ZWR1OlJlY3Vyc28gYSBvd2w6Q2xhc3MgOw0KICAgIHJkZnM6bGFiZWwgIkxlYXJuaW5nIHJlc291cmNl\"\n", " \"IkBlbiwNCiAgICAgICAgIlJlY3Vyc28gZGUgYXByZW5kaXphamUiQGVzIDsNCiAgICByZGZzOnN1YkNsYXNzT2YgcHllZHU6RW50\"\n", " \"aWRhZEVkdWNhdGl2YSAuDQoNCnB5ZWR1OnJlbGFjaW9uYWRvQ29uY2VwdHVhbG1lbnRlQ29uIGEgb3dsOk9iamVjdFByb3BlcnR5\"\n", " \"IDsNCiAgICByZGZzOmxhYmVsICJjb25jZXB0dWFsbHkgcmVsYXRlZCB0byJAZW4sDQogICAgICAgICJyZWxhY2lvbmFkbyBjb25j\"\n", " \"ZXB0dWFsbWVudGUgY29uIkBlcyA7DQogICAgcmRmczpjb21tZW50ICJTdXBlcnByb3BpZWRhZCBnZW7DqXJpY2EgZGUgbGFzIHJl\"\n", " \"bGFjaW9uZXMgZW50cmUgY29uY2VwdG9zOyBwZXJtaXRlIGNvbnN1bHRhcyBhbXBsaWFzIHBvciBzdWJzdW5jacOzbiBkZSBzdWJw\"\n", " \"cm9waWVkYWRlcy4iQGVzIDsNCiAgICByZGZzOmRvbWFpbiBweWVkdTpDb25jZXB0byA7DQogICAgcmRmczpyYW5nZSBweWVkdTpD\"\n", " \"b25jZXB0byAuDQoNCnB5cjphbm90YWNpb25lc190aXBvIGEgcHllZHU6UHJpbmNpcGlvVHJhbnN2ZXJzYWwgOw0KICAgIHJkZnM6\"\n", " \"bGFiZWwgIlR5cGUgaGludHMiQGVuLA0KICAgICAgICAiQW5vdGFjaW9uZXMgZGUgdGlwbyJAZXMgOw0KICAgIHB5ZWR1OmFOaXZl\"\n", " \"bERvbWluaW8gcHlyOmludGVybWVkaW8gOw0KICAgIHB5ZWR1OnBlcnRlbmVjZUFUZW1hIHB5cjpUX3RpcG9zIDsNCiAgICBweWVk\"\n", " \"dTpyZXF1aWVyZVByZXJyZXF1aXNpdG8gcHlyOmZ1bmNpb24gOw0KICAgIHB5ZWR1OnRpZW5lRGlmaWN1bHRhZCAzIC4NCg0KcHly\"\n", " \"OmRlY29yYWRvciBhIHB5ZWR1OlBhcmFkaWdtYSA7DQogICAgcmRmczpsYWJlbCAiRGVjb3JhdG9yIkBlbiwNCiAgICAgICAgIkRl\"\n", " \"Y29yYWRvciJAZXMgOw0KICAgIHNrb3M6ZXhhY3RNYXRjaCB3ZDpRMTEwOTM4OTQxIDsNCiAgICBweWVkdTphTml2ZWxEb21pbmlv\"\n", " \"IHB5cjphdmFuemFkbyA7DQogICAgcHllZHU6cGVydGVuZWNlQVRlbWEgcHlyOlRfZnVuY2lvbmFsIDsNCiAgICBweWVkdTpyZXF1\"\n", " \"aWVyZVByZXJyZXF1aXNpdG8gcHlyOmNsb3N1cmUsDQogICAgICAgIHB5cjpmdW5jaW9uX29yZGVuX3N1cGVyaW9yIDsNCiAgICBw\"\n", " \"eWVkdTp0aWVuZURpZmljdWx0YWQgNSAuDQoNCnB5cjplal9idXNxdWVkYSBhIHB5ZWR1OkVqZXJjaWNpbyA7DQogICAgcmRmczps\"\n", " \"YWJlbCAiQmluYXJ5IHNlYXJjaCBvbiBhIHNvcnRlZCBsaXN0IkBlbiwNCiAgICAgICAgIkLDunNxdWVkYSBiaW5hcmlhIHNvYnJl\"\n", " \"IGxpc3RhIG9yZGVuYWRhIkBlcyA7DQogICAgcHllZHU6Y3VicmVDb25jZXB0byBweXI6YnVjbGVfd2hpbGUsDQogICAgICAgIHB5\"\n", " \"cjpidXNxdWVkYV9iaW5hcmlhLA0KICAgICAgICBweXI6aW5kZXhhY2lvbiA7DQogICAgcHllZHU6dGllbmVEaWZpY3VsdGFkIDQg\"\n", " \"Ow0KICAgIHB5ZWR1OnRpZW5lRW51bmNpYWRvICJJbXBsZW1lbnRhIGxhIGLDunNxdWVkYSBiaW5hcmlhIHNvYnJlIHVuYSBsaXN0\"\n", " \"YSBvcmRlbmFkYSB5IGRldnVlbHZlIGVsIMOtbmRpY2UgZGVsIGVsZW1lbnRvLiJAZXMgLg0KDQpweXI6ZXhjZXBjaW9uIGEgcHll\"\n", " \"ZHU6RXN0cnVjdHVyYURlQ29udHJvbCA7DQogICAgcmRmczpsYWJlbCAiRXhjZXB0aW9uIkBlbiwNCiAgICAgICAgIkV4Y2VwY2nD\"\n", " \"s24iQGVzIDsNCiAgICBza29zOmV4YWN0TWF0Y2ggd2Q6UTQ3MTc0OCA7DQogICAgcHllZHU6cGVydGVuZWNlQVRlbWEgcHlyOlRf\"\n", " \"ZXhjZXBjaW9uZXMgOw0KICAgIHB5ZWR1OnJlcXVpZXJlUHJlcnJlcXVpc2l0byBweXI6Y29uZGljaW9uYWwgOw0KICAgIHB5ZWR1\"\n", " \"OnRpZW5lRGlmaWN1bHRhZCAzIC4NCg0KcHlyOmZ1bmNpb25fb3JkZW5fc3VwZXJpb3IgYSBweWVkdTpQcmluY2lwaW9UcmFuc3Zl\"\n", " \"cnNhbCA7DQogICAgcmRmczpsYWJlbCAiSGlnaGVyLW9yZGVyIGZ1bmN0aW9ucyJAZW4sDQogICAgICAgICJGdW5jaW9uZXMgZGUg\"\n", " \"b3JkZW4gc3VwZXJpb3IiQGVzIDsNCiAgICBweWVkdTphTml2ZWxEb21pbmlvIHB5cjphdmFuemFkbyA7DQogICAgcHllZHU6cGVy\"\n", " \"dGVuZWNlQVRlbWEgcHlyOlRfZnVuY2lvbmFsIDsNCiAgICBweWVkdTpyZXF1aWVyZVByZXJyZXF1aXNpdG8gcHlyOmZ1bmNpb24g\"\n", " \"Ow0KICAgIHB5ZWR1OnRpZW5lRGlmaWN1bHRhZCA0IC4NCg0KcHlyOml0ZXJhYmxlcyBhIHB5ZWR1OlByaW5jaXBpb1RyYW5zdmVy\"\n", " \"c2FsIDsNCiAgICByZGZzOmxhYmVsICJJdGVyYWJsZXMiQGVuLA0KICAgICAgICAiSXRlcmFibGVzIkBlcyA7DQogICAgcHllZHU6\"\n", " \"YU5pdmVsRG9taW5pbyBweXI6YmFzaWNvIDsNCiAgICBweWVkdTpwZXJ0ZW5lY2VBVGVtYSBweXI6VF9lc3RydWN0dXJhcyA7DQog\"\n", " \"ICAgcHllZHU6cmVxdWllcmVQcmVycmVxdWlzaXRvIHB5cjpsaXN0YSA7DQogICAgcHllZHU6dGllbmVEaWZpY3VsdGFkIDIgLg0K\"\n", " \"DQpweWVkdTpFdmFsdWFjaW9uRGVDb25jZXB0byBhIG93bDpDbGFzcyA7DQogICAgcmRmczpsYWJlbCAiQ29uY2VwdCBhc3Nlc3Nt\"\n", " \"ZW50IG9jY3VycmVuY2UiQGVuLA0KICAgICAgICAiRXZhbHVhY2nDs24gZGUgY29uY2VwdG8iQGVzIDsNCiAgICByZGZzOmNvbW1l\"\n", " \"bnQgIk5vZG8gaW50ZXJtZWRpbyBxdWUgcmVpZmljYSBsYSByZWxhY2nDs24gTi1hcmlhIChlamVyY2ljaW8sIGNvbmNlcHRvLCBw\"\n", " \"ZXNvLCBuaXZlbCkgc2luIHBlcmRlciBpbmZvcm1hY2nDs24sIHNlZ8O6biBlbCBwYXRyw7NuIGRlIHJlbGFjaW9uZXMgTi1hcmlh\"\n", " \"cyBkZWwgbWF0ZXJpYWwgZG9jZW50ZS4iQGVzIDsNCiAgICByZGZzOnN1YkNsYXNzT2YgcHllZHU6RW50aWRhZEVkdWNhdGl2YSAu\"\n", " \"DQoNCnB5cjpUX2NvbmN1cnJlbmNpYSBhIHB5ZWR1OlRlbWEgOw0KICAgIHJkZnM6bGFiZWwgIkNvbmN1cnJlbmN5IkBlbiwNCiAg\"\n", " \"ICAgICAgIkNvbmN1cnJlbmNpYSJAZXMgLg0KDQpweXI6VF9leGNlcGNpb25lcyBhIHB5ZWR1OlRlbWEgOw0KICAgIHJkZnM6bGFi\"\n", " \"ZWwgIkV4Y2VwdGlvbnMiQGVuLA0KICAgICAgICAiRXhjZXBjaW9uZXMiQGVzIC4NCg0KcHlyOlRfZmljaGVyb3MgYSBweWVkdTpU\"\n", " \"ZW1hIDsNCiAgICByZGZzOmxhYmVsICJGaWxlcyBhbmQgSS9PIkBlbiwNCiAgICAgICAgIkZpY2hlcm9zIHkgRS9TIkBlcyAuDQoN\"\n", " \"CnB5cjpUX2Z1bmRhbWVudG9zIGEgcHllZHU6VGVtYSA7DQogICAgcmRmczpsYWJlbCAiRnVuZGFtZW50YWxzIkBlbiwNCiAgICAg\"\n", " \"ICAgIkZ1bmRhbWVudG9zIkBlcyAuDQoNCnB5cjpUX3N0cmluZ3MgYSBweWVkdTpUZW1hIDsNCiAgICByZGZzOmxhYmVsICJTdHJp\"\n", " \"bmdzIkBlbiwNCiAgICAgICAgIkNhZGVuYXMgZGUgdGV4dG8iQGVzIC4NCg0KcHlyOlRfdGVzdGluZyBhIHB5ZWR1OlRlbWEgOw0K\"\n", " \"ICAgIHJkZnM6bGFiZWwgIlRlc3RpbmcgYW5kIHN0eWxlIkBlbiwNCiAgICAgICAgIlBydWViYXMgeSBlc3RpbG8iQGVzIC4NCg0K\"\n", " \"cHlyOmVzdF9hbGljaWEgYSBmb2FmOlBlcnNvbiwNCiAgICAgICAgcHllZHU6RXN0dWRpYW50ZSA7DQogICAgcmRmczpsYWJlbCAi\"\n", " \"QWxpY2UiQGVuLA0KICAgICAgICAiQWxpY2lhIkBlcyA7DQogICAgZm9hZjpuYW1lICJBbGljaWEiIDsNCiAgICBweWVkdTpkb21p\"\n", " \"bmFDb25jZXB0byBweXI6YnVjbGVfZm9yLA0KICAgICAgICBweXI6ZnVuY2lvbiwNCiAgICAgICAgcHlyOnZhcmlhYmxlIC4NCg0K\"\n", " \"cHlyOmVzdF9ib3JqYSBhIGZvYWY6UGVyc29uLA0KICAgICAgICBweWVkdTpFc3R1ZGlhbnRlIDsNCiAgICByZGZzOmxhYmVsICJC\"\n", " \"b3JqYSJAZW4sDQogICAgICAgICJCb3JqYSJAZXMgOw0KICAgIGZvYWY6bmFtZSAiQm9yamEiIDsNCiAgICBweWVkdTpkb21pbmFD\"\n", " \"b25jZXB0byBweXI6Y29uZGljaW9uYWwsDQogICAgICAgIHB5cjp2YXJpYWJsZSAuDQoNCnB5cjp0dXBsYSBhIHB5ZWR1OkVzdHJ1\"\n", " \"Y3R1cmFEZURhdG9zIDsNCiAgICByZGZzOmxhYmVsICJUdXBsZSJAZW4sDQogICAgICAgICJUdXBsYSJAZXMgOw0KICAgIHNrb3M6\"\n", " \"ZXhhY3RNYXRjaCB3ZDpRMjg3OTA3MiA7DQogICAgc2tvczpyZWxhdGVkIHB5cjpsaXN0YSA7DQogICAgcHllZHU6Y29udHJhc3Rh\"\n", " \"Q29uIHB5cjpsaXN0YSA7DQogICAgcHllZHU6cGVydGVuZWNlQVRlbWEgcHlyOlRfZXN0cnVjdHVyYXMgOw0KICAgIHB5ZWR1OnRp\"\n", " \"ZW5lRGlmaWN1bHRhZCAyIC4NCg0KcHllZHU6RXN0dWRpYW50ZSBhIG93bDpDbGFzcyA7DQogICAgcmRmczpsYWJlbCAiU3R1ZGVu\"\n", " \"dCJAZW4sDQogICAgICAgICJFc3R1ZGlhbnRlIkBlcyA7DQogICAgcmRmczpzdWJDbGFzc09mIHB5ZWR1OkVudGlkYWRFZHVjYXRp\"\n", " \"dmEgLg0KDQpweXI6VF9mdW5jaW9uZXMgYSBweWVkdTpUZW1hIDsNCiAgICByZGZzOmxhYmVsICJGdW5jdGlvbnMiQGVuLA0KICAg\"\n", " \"ICAgICAiRnVuY2lvbmVzIkBlcyAuDQoNCnB5cjpjb25kaWNpb25hbCBhIHB5ZWR1OkVzdHJ1Y3R1cmFEZUNvbnRyb2wgOw0KICAg\"\n", " \"IHJkZnM6bGFiZWwgIkNvbmRpdGlvbmFsIChpZikiQGVuLA0KICAgICAgICAiQ29uZGljaW9uYWwgKGlmKSJAZXMgOw0KICAgIHB5\"\n", " \"ZWR1OnBlcnRlbmVjZUFUZW1hIHB5cjpUX2NvbnRyb2wgOw0KICAgIHB5ZWR1OnJlcXVpZXJlUHJlcnJlcXVpc2l0byBweXI6dGlw\"\n", " \"b19ib29sIDsNCiAgICBweWVkdTp0aWVuZURpZmljdWx0YWQgMSAuDQoNCnB5ZWR1OkVudmlvRXN0dWRpYW50ZSBhIG93bDpDbGFz\"\n", " \"cyA7DQogICAgcmRmczpsYWJlbCAiU3R1ZGVudCBzdWJtaXNzaW9uIkBlbiwNCiAgICAgICAgIkVudsOtbyBkZSBlc3R1ZGlhbnRl\"\n", " \"IkBlcyA7DQogICAgcmRmczpjb21tZW50ICJFbnRyZWdhIGRlIGPDs2RpZ28gZGUgdW4gZXN0dWRpYW50ZSBlbiByZXNwdWVzdGEg\"\n", " \"YSB1biBlamVyY2ljaW8uIkBlcyA7DQogICAgcmRmczpzdWJDbGFzc09mIHB5ZWR1OkVudGlkYWRFZHVjYXRpdmEgLg0KDQpweWVk\"\n", " \"dTpUaXBvRGVEYXRvIGEgb3dsOkNsYXNzIDsNCiAgICByZGZzOmxhYmVsICJEYXRhIHR5cGUiQGVuLA0KICAgICAgICAiVGlwbyBk\"\n", " \"ZSBkYXRvIkBlcyA7DQogICAgcmRmczpzdWJDbGFzc09mIHB5ZWR1OkNvbmNlcHRvIC4NCg0KcHlyOmNsYXNlIGEgcHllZHU6UGFy\"\n", " \"YWRpZ21hIDsNCiAgICByZGZzOmxhYmVsICJDbGFzcyJAZW4sDQogICAgICAgICJDbGFzZSJAZXMgOw0KICAgIHNrb3M6ZXhhY3RN\"\n", " \"YXRjaCB3ZDpRNDQ3OTI0MiA7DQogICAgcHllZHU6cGVydGVuZWNlQVRlbWEgcHlyOlRfcG9vIDsNCiAgICBweWVkdTpyZXF1aWVy\"\n", " \"ZVByZXJyZXF1aXNpdG8gcHlyOmZ1bmNpb24gOw0KICAgIHB5ZWR1OnRpZW5lRGlmaWN1bHRhZCAzIC4NCg0KcHlyOmNvbXByZW5z\"\n", " \"aW9uX2xpc3RhcyBhIHB5ZWR1OkVzdHJ1Y3R1cmFEZUNvbnRyb2wgOw0KICAgIHJkZnM6bGFiZWwgIkxpc3QgY29tcHJlaGVuc2lv\"\n", " \"biJAZW4sDQogICAgICAgICJDb21wcmVuc2nDs24gZGUgbGlzdGFzIkBlcyA7DQogICAgc2tvczpicm9hZGVyIHB5cjpidWNsZV9m\"\n", " \"b3IgOw0KICAgIHNrb3M6ZXhhY3RNYXRjaCB3ZDpRNzk1MDY1IDsNCiAgICBza29zOm5hcnJvd2VyIHB5cjpjb21wcmVuc2lvbl9k\"\n", " \"aWN0cywNCiAgICAgICAgcHlyOmNvbXByZW5zaW9uX3NldHMsDQogICAgICAgIHB5cjpleHByZXNpb25fZ2VuZXJhZG9yYSA7DQog\"\n", " \"ICAgcHllZHU6YU5pdmVsRG9taW5pbyBweXI6YXZhbnphZG8gOw0KICAgIHB5ZWR1OnBlcnRlbmVjZUFUZW1hIHB5cjpUX2NvbnRy\"\n", " \"b2wgOw0KICAgIHB5ZWR1OnJlcXVpZXJlUHJlcnJlcXVpc2l0byBweXI6bGlzdGEgOw0KICAgIHB5ZWR1OnRpZW5lRGlmaWN1bHRh\"\n", " \"ZCA0IDsNCiAgICBweWVkdTp0aWVuZUVqZW1wbG9Db2RpZ28gInlzID0gW3gqeCBmb3IgeCBpbiB4cyBpZiB4ID4gMF0iIC4NCg0K\"\n", " \"cHlyOmRpY2Npb25hcmlvIGEgcHllZHU6RXN0cnVjdHVyYURlRGF0b3MgOw0KICAgIHJkZnM6bGFiZWwgIkRpY3Rpb25hcnkiQGVu\"\n", " \"LA0KICAgICAgICAiRGljY2lvbmFyaW8iQGVzIDsNCiAgICBza29zOmV4YWN0TWF0Y2ggd2Q6UTgwNTg1IDsNCiAgICBweWVkdTpw\"\n", " \"ZXJ0ZW5lY2VBVGVtYSBweXI6VF9lc3RydWN0dXJhcyA7DQogICAgcHllZHU6dGllbmVEaWZpY3VsdGFkIDIgLg0KDQpweXI6aW1w\"\n", " \"b3J0X21vZCBhIHB5ZWR1OlByaW5jaXBpb1RyYW5zdmVyc2FsIDsNCiAgICByZGZzOmxhYmVsICJpbXBvcnQiQGVuLA0KICAgICAg\"\n", " \"ICAiaW1wb3J0IkBlcyA7DQogICAgcHllZHU6YU5pdmVsRG9taW5pbyBweXI6YmFzaWNvIDsNCiAgICBweWVkdTpwZXJ0ZW5lY2VB\"\n", " \"VGVtYSBweXI6VF9tb2R1bG9zIDsNCiAgICBweWVkdTp0aWVuZURpZmljdWx0YWQgMiAuDQoNCnB5cjp0aXBvX3N0ciBhIHB5ZWR1\"\n", " \"OlRpcG9EZURhdG8gOw0KICAgIHJkZnM6bGFiZWwgIlN0cmluZyAoc3RyKSJAZW4sDQogICAgICAgICJDYWRlbmEgKHN0cikiQGVz\"\n", " \"IDsNCiAgICBweWVkdTpwZXJ0ZW5lY2VBVGVtYSBweXI6VF9mdW5kYW1lbnRvcyA7DQogICAgcHllZHU6dGllbmVEaWZpY3VsdGFk\"\n", " \"IDEgLg0KDQpweXI6aW5kZXhhY2lvbiBhIHB5ZWR1OlByaW5jaXBpb1RyYW5zdmVyc2FsIDsNCiAgICByZGZzOmxhYmVsICJJbmRl\"\n", " \"eGluZyJAZW4sDQogICAgICAgICJJbmRleGFjacOzbiJAZXMgOw0KICAgIHNrb3M6bmFycm93ZXIgcHlyOmluZGV4YWNpb25fbmVn\"\n", " \"YXRpdmEsDQogICAgICAgIHB5cjpzbGljaW5nIDsNCiAgICBweWVkdTpwZXJ0ZW5lY2VBVGVtYSBweXI6VF9lc3RydWN0dXJhcyA7\"\n", " \"DQogICAgcHllZHU6cmVxdWllcmVQcmVycmVxdWlzaXRvIHB5cjpsaXN0YSA7DQogICAgcHllZHU6c2VBcGxpY2FBIHB5cjpsaXN0\"\n", " \"YSA7DQogICAgcHllZHU6dGllbmVEaWZpY3VsdGFkIDIgLg0KDQpweXI6bWV0b2RvIGEgcHllZHU6UGFyYWRpZ21hIDsNCiAgICBy\"\n", " \"ZGZzOmxhYmVsICJNZXRob2QiQGVuLA0KICAgICAgICAiTcOpdG9kbyJAZXMgOw0KICAgIHNrb3M6bmFycm93ZXIgcHlyOmluaXRf\"\n", " \"bWV0aG9kLA0KICAgICAgICBweXI6bWV0b2RvX2NsYXNlLA0KICAgICAgICBweXI6bWV0b2RvX2VzdGF0aWNvIDsNCiAgICBweWVk\"\n", " \"dTphTml2ZWxEb21pbmlvIHB5cjppbnRlcm1lZGlvIDsNCiAgICBweWVkdTpwZXJ0ZW5lY2VBVGVtYSBweXI6VF9wb28gOw0KICAg\"\n", " \"IHB5ZWR1OnJlcXVpZXJlUHJlcnJlcXVpc2l0byBweXI6Y2xhc2UsDQogICAgICAgIHB5cjpmdW5jaW9uIDsNCiAgICBweWVkdTp0\"\n", " \"aWVuZURpZmljdWx0YWQgMyAuDQoNCnB5cjpoZXJlbmNpYSBhIHB5ZWR1OlBhcmFkaWdtYSA7DQogICAgcmRmczpsYWJlbCAiSW5o\"\n", " \"ZXJpdGFuY2UiQGVuLA0KICAgICAgICAiSGVyZW5jaWEiQGVzIDsNCiAgICBza29zOmV4YWN0TWF0Y2ggd2Q6UTIxMjU0MiA7DQog\"\n", " \"ICAgc2tvczpuYXJyb3dlciBweXI6aGVyZW5jaWFfbXVsdGlwbGUgOw0KICAgIHNrb3M6cmVsYXRlZCBweXI6Y29tcG9zaWNpb24g\"\n", " \"Ow0KICAgIHB5ZWR1OnBlcnRlbmVjZUFUZW1hIHB5cjpUX3BvbyA7DQogICAgcHllZHU6cmVxdWllcmVQcmVycmVxdWlzaXRvIHB5\"\n", " \"cjpjbGFzZSA7DQogICAgcHllZHU6dGllbmVEaWZpY3VsdGFkIDQgLg0KDQpweWVkdTpFamVyY2ljaW8gYSBvd2w6Q2xhc3MgOw0K\"\n", " \"ICAgIHJkZnM6bGFiZWwgIkV4ZXJjaXNlIG9yIGFzc2lnbm1lbnQiQGVuLA0KICAgICAgICAiRWplcmNpY2lvIG8gZW51bmNpYWRv\"\n", " \"IkBlcyA7DQogICAgcmRmczpzdWJDbGFzc09mIHB5ZWR1OkVudGlkYWRFZHVjYXRpdmEgLg0KDQpweXI6VF9tb2R1bG9zIGEgcHll\"\n", " \"ZHU6VGVtYSA7DQogICAgcmRmczpsYWJlbCAiTW9kdWxlcyBhbmQgcGFja2FnZXMiQGVuLA0KICAgICAgICAiTcOzZHVsb3MgeSBw\"\n", " \"YXF1ZXRlcyJAZXMgLg0KDQpweWVkdTpGdW5jaW9uSW50ZWdyYWRhIGEgb3dsOkNsYXNzIDsNCiAgICByZGZzOmxhYmVsICJCdWls\"\n", " \"dC1pbiBmdW5jdGlvbiJAZW4sDQogICAgICAgICJGdW5jacOzbiBpbnRlZ3JhZGEiQGVzIDsNCiAgICByZGZzOnN1YkNsYXNzT2Yg\"\n", " \"cHllZHU6Q29uY2VwdG8gLg0KDQpweWVkdTpFbnRpZGFkRWR1Y2F0aXZhIGEgb3dsOkNsYXNzIDsNCiAgICByZGZzOmxhYmVsICJF\"\n", " \"ZHVjYXRpb25hbCBlbnRpdHkiQGVuLA0KICAgICAgICAiRW50aWRhZCBlZHVjYXRpdmEiQGVzIDsNCiAgICByZGZzOmNvbW1lbnQg\"\n", " \"IlN1cGVyY2xhc2UgYWJzdHJhY3RhIGRlIHRvZGFzIGxhcyBlbnRpZGFkZXMgZGVsIGdyYWZvIGVkdWNhdGl2by4iQGVzIC4NCg0K\"\n", " \"cHlyOlRfYWxnb3JpdG1vcyBhIHB5ZWR1OlRlbWEgOw0KICAgIHJkZnM6bGFiZWwgIkFsZ29yaXRobXMiQGVuLA0KICAgICAgICAi\"\n", " \"QWxnb3JpdG1vcyJAZXMgLg0KDQpweXI6cmVjdXJzaW9uIGEgcHllZHU6UHJpbmNpcGlvVHJhbnN2ZXJzYWwgOw0KICAgIHJkZnM6\"\n", " \"bGFiZWwgIlJlY3Vyc2lvbiJAZW4sDQogICAgICAgICJSZWN1cnNpw7NuIkBlcyA7DQogICAgcmRmczpjb21tZW50ICJEZWZpbmlj\"\n", " \"acOzbiBkZSB1bmEgZnVuY2nDs24gZW4gdMOpcm1pbm9zIGRlIHPDrSBtaXNtYS4iQGVzIDsNCiAgICBza29zOmV4YWN0TWF0Y2gg\"\n", " \"d2Q6UTI2NDE2NCA7DQogICAgc2tvczpuYXJyb3dlciBweXI6cmVjdXJzaW9uX2NvbGEgOw0KICAgIHNrb3M6cHJlZkxhYmVsICJS\"\n", " \"ZWN1cnNpw7NuIkBlcyA7DQogICAgc2tvczpyZWxhdGVkIHB5cjpidWNsZV9mb3IgOw0KICAgIHB5ZWR1OmFOaXZlbERvbWluaW8g\"\n", " \"cHlyOmF2YW56YWRvIDsNCiAgICBweWVkdTpjb250cmFzdGFDb24gcHlyOmJ1Y2xlX2ZvciA7DQogICAgcHllZHU6cGVydGVuZWNl\"\n", " \"QVRlbWEgcHlyOlRfcmVjdXJzaW9uIDsNCiAgICBweWVkdTpyZXF1aWVyZVByZXJyZXF1aXNpdG8gcHlyOmZ1bmNpb24gOw0KICAg\"\n", " \"IHB5ZWR1OnRpZW5lRGlmaWN1bHRhZCA0IC4NCg0KcHlyOlRfY29udHJvbCBhIHB5ZWR1OlRlbWEgOw0KICAgIHJkZnM6bGFiZWwg\"\n", " \"IkNvbnRyb2wgZmxvdyJAZW4sDQogICAgICAgICJDb250cm9sIGRlIGZsdWpvIkBlcyAuDQoNCnB5cjpUX2Z1bmNpb25hbCBhIHB5\"\n", " \"ZWR1OlRlbWEgOw0KICAgIHJkZnM6bGFiZWwgIkZ1bmN0aW9uYWwgcHJvZ3JhbW1pbmciQGVuLA0KICAgICAgICAiUHJvZ3JhbWFj\"\n", " \"acOzbiBmdW5jaW9uYWwiQGVzIC4NCg0KcHlyOmJ1Y2xlX2ZvciBhIHB5ZWR1OkVzdHJ1Y3R1cmFEZUNvbnRyb2wgOw0KICAgIHJk\"\n", " \"ZnM6bGFiZWwgIkZvciBsb29wIkBlbiwNCiAgICAgICAgIkJ1Y2xlIGZvciJAZXMgOw0KICAgIHNrb3M6bmFycm93ZXIgcHlyOmNv\"\n", " \"bXByZW5zaW9uX2xpc3RhcyA7DQogICAgc2tvczpwcmVmTGFiZWwgIkJ1Y2xlIGZvciJAZXMgOw0KICAgIHNrb3M6cmVsYXRlZCBw\"\n", " \"eXI6cmVjdXJzaW9uIDsNCiAgICBweWVkdTphTml2ZWxEb21pbmlvIHB5cjpiYXNpY28gOw0KICAgIHB5ZWR1OmVzUHJlcnJlcXVp\"\n", " \"c2l0b0RlIHB5cjpjb21wcmVuc2lvbl9saXN0YXMgOw0KICAgIHB5ZWR1OnBlcnRlbmVjZUFUZW1hIHB5cjpUX2NvbnRyb2wgOw0K\"\n", " \"ICAgIHB5ZWR1OnRpZW5lRGlmaWN1bHRhZCAyIDsNCiAgICBweWVkdTp0aWVuZUVqZW1wbG9Db2RpZ28gIiIiZm9yIHggaW4geHM6\"\n", " \"DQogICAgcHJpbnQoeCkiIiIgLg0KDQpweWVkdTpFc3RydWN0dXJhRGVEYXRvcyBhIG93bDpDbGFzcyA7DQogICAgcmRmczpsYWJl\"\n", " \"bCAiRGF0YSBzdHJ1Y3R1cmUiQGVuLA0KICAgICAgICAiRXN0cnVjdHVyYSBkZSBkYXRvcyJAZXMgOw0KICAgIHJkZnM6c3ViQ2xh\"\n", " \"c3NPZiBweWVkdTpDb25jZXB0byAuDQoNCnB5ZWR1OkV2YWx1YWNpb25BY3RpdmlkYWQgYSBvd2w6Q2xhc3MgOw0KICAgIHJkZnM6\"\n", " \"bGFiZWwgIkFjdGl2aXR5IGFzc2Vzc21lbnQiQGVuLA0KICAgICAgICAiRXZhbHVhY2nDs24gZGUgYWN0aXZpZGFkIkBlcyA7DQog\"\n", " \"ICAgcmRmczpzdWJDbGFzc09mIHB5ZWR1OkVudGlkYWRFZHVjYXRpdmEgLg0KDQpweXI6VF90aXBvcyBhIHB5ZWR1OlRlbWEgOw0K\"\n", " \"ICAgIHJkZnM6bGFiZWwgIlR5cGUgc3lzdGVtIkBlbiwNCiAgICAgICAgIlNpc3RlbWEgZGUgdGlwb3MiQGVzIC4NCg0KcHllZHU6\"\n", " \"TW9kdWxvTGlicmVyaWEgYSBvd2w6Q2xhc3MgOw0KICAgIHJkZnM6bGFiZWwgIk1vZHVsZSBvciBsaWJyYXJ5IkBlbiwNCiAgICAg\"\n", " \"ICAgIk3Ds2R1bG8gbyBsaWJyZXLDrWEiQGVzIDsNCiAgICByZGZzOnN1YkNsYXNzT2YgcHllZHU6Q29uY2VwdG8gLg0KDQpweXI6\"\n", " \"ZnVuY2lvbiBhIHB5ZWR1OlByaW5jaXBpb1RyYW5zdmVyc2FsIDsNCiAgICByZGZzOmxhYmVsICJGdW5jdGlvbiJAZW4sDQogICAg\"\n", " \"ICAgICJGdW5jacOzbiJAZXMgOw0KICAgIHNrb3M6cHJlZkxhYmVsICJGdW5jacOzbiJAZXMgOw0KICAgIHB5ZWR1OmVzUHJlcnJl\"\n", " \"cXVpc2l0b0RlIHB5cjpyZWN1cnNpb24gOw0KICAgIHB5ZWR1OnBlcnRlbmVjZUFUZW1hIHB5cjpUX2Z1bmNpb25lcyA7DQogICAg\"\n", " \"cHllZHU6dGllbmVEaWZpY3VsdGFkIDIgOw0KICAgIHB5ZWR1OnRpZW5lRWplbXBsb0NvZGlnbyAiIiJkZWYgZih4KToNCiAgICBy\"\n", " \"ZXR1cm4geCArIDEiIiIgLg0KDQpweWVkdTpUZW1hIGEgb3dsOkNsYXNzIDsNCiAgICByZGZzOmxhYmVsICJDdXJyaWN1bGFyIHRv\"\n", " \"cGljIkBlbiwNCiAgICAgICAgIlRlbWEgY3VycmljdWxhciJAZXMgOw0KICAgIHJkZnM6Y29tbWVudCAiQWdydXBhY2nDs24gY3Vy\"\n", " \"cmljdWxhciBkZSBjb25jZXB0b3MgKHVuaWRhZCBkaWTDoWN0aWNhKS4iQGVzIDsNCiAgICByZGZzOnN1YkNsYXNzT2YgcHllZHU6\"\n", " \"RW50aWRhZEVkdWNhdGl2YSAuDQoNCnB5cjpUX2VzdHJ1Y3R1cmFzIGEgcHllZHU6VGVtYSA7DQogICAgcmRmczpsYWJlbCAiRGF0\"\n", " \"YSBzdHJ1Y3R1cmVzIkBlbiwNCiAgICAgICAgIkVzdHJ1Y3R1cmFzIGRlIGRhdG9zIkBlcyAuDQoNCnB5ZWR1OkVycm9yQ29uY2Vw\"\n", " \"dHVhbCBhIG93bDpDbGFzcyA7DQogICAgcmRmczpsYWJlbCAiTWlzY29uY2VwdGlvbiJAZW4sDQogICAgICAgICJFcnJvciBjb25j\"\n", " \"ZXB0dWFsIChtaXNjb25jZXB0aW9uKSJAZXMgOw0KICAgIHJkZnM6Y29tbWVudCAiTWFsZW50ZW5kaWRvIHJlY3VycmVudGUgZG9j\"\n", " \"dW1lbnRhZG8gZW4gbGEgbGl0ZXJhdHVyYSBkZSBkaWTDoWN0aWNhIGRlIGxhIHByb2dyYW1hY2nDs24uIkBlcyA7DQogICAgcmRm\"\n", " \"czpzdWJDbGFzc09mIHB5ZWR1OkVudGlkYWRFZHVjYXRpdmEgLg0KDQpweXI6bGlzdGEgYSBweWVkdTpFc3RydWN0dXJhRGVEYXRv\"\n", " \"cyA7DQogICAgcmRmczpsYWJlbCAiTGlzdCJAZW4sDQogICAgICAgICJMaXN0YSJAZXMgOw0KICAgIHNrb3M6ZXhhY3RNYXRjaCB3\"\n", " \"ZDpRMjc5NDggOw0KICAgIHNrb3M6bmFycm93ZXIgcHlyOmNvbGEsDQogICAgICAgIHB5cjpwaWxhIDsNCiAgICBza29zOnByZWZM\"\n", " \"YWJlbCAiTGlzdGEiQGVzIDsNCiAgICBza29zOnJlbGF0ZWQgcHlyOmNvbmp1bnRvLA0KICAgICAgICBweXI6dHVwbGEgOw0KICAg\"\n", " \"IHB5ZWR1OmFOaXZlbERvbWluaW8gcHlyOmJhc2ljbyA7DQogICAgcHllZHU6cGVydGVuZWNlQVRlbWEgcHlyOlRfZXN0cnVjdHVy\"\n", " \"YXMgOw0KICAgIHB5ZWR1OnRpZW5lRGlmaWN1bHRhZCAyIDsNCiAgICBweWVkdTp0aWVuZUVqZW1wbG9Db2RpZ28gInhzID0gWzEs\"\n", " \"IDIsIDNdIiAuDQoNCnB5cjpUX3BvbyBhIHB5ZWR1OlRlbWEgOw0KICAgIHJkZnM6bGFiZWwgIk9iamVjdC1vcmllbnRlZCBwcm9n\"\n", " \"cmFtbWluZyJAZW4sDQogICAgICAgICJQcm9ncmFtYWNpw7NuIG9yaWVudGFkYSBhIG9iamV0b3MiQGVzIC4NCg0KcHllZHU6RXN0\"\n", " \"cnVjdHVyYURlQ29udHJvbCBhIG93bDpDbGFzcyA7DQogICAgcmRmczpsYWJlbCAiQ29udHJvbCBzdHJ1Y3R1cmUiQGVuLA0KICAg\"\n", " \"ICAgICAiRXN0cnVjdHVyYSBkZSBjb250cm9sIkBlcyA7DQogICAgcmRmczpzdWJDbGFzc09mIHB5ZWR1OkNvbmNlcHRvIC4NCg0K\"\n", " \"cHllZHU6Q29uY2VwdG8gYSBvd2w6Q2xhc3MgOw0KICAgIHJkZnM6bGFiZWwgIlByb2dyYW1taW5nIGNvbmNlcHQiQGVuLA0KICAg\"\n", " \"ICAgICAiQ29uY2VwdG8gZGUgcHJvZ3JhbWFjacOzbiJAZXMgOw0KICAgIHJkZnM6Y29tbWVudCAiVW5pZGFkIGRlIGNvbm9jaW1p\"\n", " \"ZW50byBkZWwgZG9taW5pbyAocC4gZWouIHJlY3Vyc2nDs24sIGJ1Y2xlIGZvciwgbXV0YWJpbGlkYWQpLiBBbCBzZXIgc3ViY2xh\"\n", " \"c2UgZGUgc2tvczpDb25jZXB0IGFkbWl0ZSBsYSByZWQgY29uY2VwdHVhbCBza29zOmJyb2FkZXIvbmFycm93ZXIvcmVsYXRlZC4i\"\n", " \"QGVzIDsNCiAgICByZGZzOnN1YkNsYXNzT2Ygc2tvczpDb25jZXB0LA0KICAgICAgICBweWVkdTpFbnRpZGFkRWR1Y2F0aXZhIC4N\"\n", " \"Cg0KcHllZHU6UGFyYWRpZ21hIGEgb3dsOkNsYXNzIDsNCiAgICByZGZzOmxhYmVsICJQcm9ncmFtbWluZyBwYXJhZGlnbSJAZW4s\"\n", " \"DQogICAgICAgICJQYXJhZGlnbWEgZGUgcHJvZ3JhbWFjacOzbiJAZXMgOw0KICAgIHJkZnM6c3ViQ2xhc3NPZiBweWVkdTpDb25j\"\n", " \"ZXB0byAuDQoNCnB5cjpiYXNpY28gYSBweWVkdTpOaXZlbERvbWluaW8gOw0KICAgIHJkZnM6bGFiZWwgImJhc2ljIkBlbiwNCiAg\"\n", " \"ICAgICAgImLDoXNpY28iQGVzIDsNCiAgICBza29zOm5vdGF0aW9uICIxIiA7DQogICAgc2tvczpwcmVmTGFiZWwgImJhc2ljIkBl\"\n", " \"biwNCiAgICAgICAgImLDoXNpY28iQGVzIC4NCg0KcHlyOmludGVybWVkaW8gYSBweWVkdTpOaXZlbERvbWluaW8gOw0KICAgIHJk\"\n", " \"ZnM6bGFiZWwgImludGVybWVkaWF0ZSJAZW4sDQogICAgICAgICJpbnRlcm1lZGlvIkBlcyA7DQogICAgc2tvczpub3RhdGlvbiAi\"\n", " \"MiIgOw0KICAgIHNrb3M6cHJlZkxhYmVsICJpbnRlcm1lZGlhdGUiQGVuLA0KICAgICAgICAiaW50ZXJtZWRpbyJAZXMgLg0KDQpw\"\n", " \"eWVkdTpQcmluY2lwaW9UcmFuc3ZlcnNhbCBhIG93bDpDbGFzcyA7DQogICAgcmRmczpsYWJlbCAiQ3Jvc3MtY3V0dGluZyBwcmlu\"\n", " \"Y2lwbGUiQGVuLA0KICAgICAgICAiUHJpbmNpcGlvIHRyYW5zdmVyc2FsIkBlcyA7DQogICAgcmRmczpzdWJDbGFzc09mIHB5ZWR1\"\n", " \"OkNvbmNlcHRvIC4NCg0KcHlyOmF2YW56YWRvIGEgcHllZHU6Tml2ZWxEb21pbmlvIDsNCiAgICByZGZzOmxhYmVsICJhZHZhbmNl\"\n", " \"ZCJAZW4sDQogICAgICAgICJhdmFuemFkbyJAZXMgOw0KICAgIHNrb3M6bm90YXRpb24gIjMiIDsNCiAgICBza29zOnByZWZMYWJl\"\n", " \"bCAiYWR2YW5jZWQiQGVuLA0KICAgICAgICAiYXZhbnphZG8iQGVzIC4NCg0KW10gYSBvd2w6QWxsRGlzam9pbnRDbGFzc2VzIDsN\"\n", " \"CiAgICBvd2w6bWVtYmVycyAoIHB5ZWR1OkNvbmNlcHRvIHB5ZWR1OlRlbWEgcHllZHU6Q29tcGV0ZW5jaWEgcHllZHU6RWplcmNp\"\n", " \"Y2lvIHB5ZWR1OkVudmlvRXN0dWRpYW50ZSBweWVkdTpFcnJvckNvbmNlcHR1YWwgcHllZHU6UmVjdXJzbyBweWVkdTpFc3R1ZGlh\"\n", " \"bnRlIHB5ZWR1OlJ1dGFBcHJlbmRpemFqZSBweWVkdTpFdmFsdWFjaW9uRGVDb25jZXB0byApIC4NCg0K\"\n", " ),\n", " 'ontologia/shapes-ekg.ttl': (\n", " \"QHByZWZpeCBzaDogICAgICA8aHR0cDovL3d3dy53My5vcmcvbnMvc2hhY2wjPiAuDQpAcHJlZml4IHB5ZWR1OiAgIDxodHRwczov\"\n", " \"L3czaWQub3JnL2VrZy1weXRob24vc2NoZW1hIz4gLg0KQHByZWZpeCByZGZzOiAgICA8aHR0cDovL3d3dy53My5vcmcvMjAwMC8w\"\n", " \"MS9yZGYtc2NoZW1hIz4gLg0KQHByZWZpeCBkY3Rlcm1zOiA8aHR0cDovL3B1cmwub3JnL2RjL3Rlcm1zLz4gLg0KQHByZWZpeCB4\"\n", " \"c2Q6ICAgICA8aHR0cDovL3d3dy53My5vcmcvMjAwMS9YTUxTY2hlbWEjPiAuDQpAcHJlZml4IGZvYWY6ICAgIDxodHRwOi8veG1s\"\n", " \"bnMuY29tL2ZvYWYvMC4xLz4gLg0KQHByZWZpeCBvd2w6ICAgICA8aHR0cDovL3d3dy53My5vcmcvMjAwMi8wNy9vd2wjPiAuDQpA\"\n", " \"cHJlZml4IHNrb3M6ICAgIDxodHRwOi8vd3d3LnczLm9yZy8yMDA0LzAyL3Nrb3MvY29yZSM+IC4NCg0KIyMjIyMjIyMjIyMjIyMj\"\n", " \"IyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMNCiMgIFNIQUNMIOKAlCBWYWxpZGFjacOz\"\n", " \"biBkZSBmb3JtYSBkZWwgRUtHLVB5dGhvbg0KIyAgKGNvcnJlc3BvbmRlIGEgbGEgInRhcmVhIGRlIHZhbGlkYWNpw7NuIGRlIGxh\"\n", " \"IGZvcm1hIGRlbCBncmFmbyINCiMgICBxdWUgZWwgcHJvZmVzb3IgZGVzY3JpYmUgZW4gbGEgU2VzacOzbiAzOiBjb21wcm9iYXIg\"\n", " \"cXVlIG5vIGZhbHRlbg0KIyAgIGVubGFjZXMgb2JsaWdhdG9yaW9zKS4gU2UgdmFsaWRhIHNvYnJlIGVsIGdyYWZvIGNvbiBpbmZl\"\n", " \"cmVuY2lhDQojICAgUkRGUywgZGUgbW9kbyBxdWUgc2g6dGFyZ2V0Q2xhc3MgYWxjYW5jZSBsb3MgdGlwb3MgaW5mZXJpZG9zLg0K\"\n", " \"IyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMNCg0KcHllZHU6\"\n", " \"Q29uY2VwdG9TaGFwZSBhIHNoOk5vZGVTaGFwZSA7DQogICAgc2g6dGFyZ2V0Q2xhc3MgcHllZHU6Q29uY2VwdG8gOw0KICAgIHNo\"\n", " \"OnByb3BlcnR5IFsNCiAgICAgICAgc2g6cGF0aCByZGZzOmxhYmVsIDsNCiAgICAgICAgc2g6bWluQ291bnQgMSA7DQogICAgICAg\"\n", " \"IHNoOm1lc3NhZ2UgIlRvZG8gY29uY2VwdG8gZGViZSB0ZW5lciBhbCBtZW5vcyB1bmEgZXRpcXVldGEgcmRmczpsYWJlbC4iQGVz\"\n", " \"IF0gOw0KICAgIHNoOnByb3BlcnR5IFsNCiAgICAgICAgc2g6cGF0aCBweWVkdTpwZXJ0ZW5lY2VBVGVtYSA7DQogICAgICAgIHNo\"\n", " \"Om1pbkNvdW50IDEgOw0KICAgICAgICBzaDpjbGFzcyBweWVkdTpUZW1hIDsNCiAgICAgICAgc2g6bWVzc2FnZSAiVG9kbyBjb25j\"\n", " \"ZXB0byBkZWJlIHBlcnRlbmVjZXIgYWwgbWVub3MgYSB1biB0ZW1hLiJAZXMgXSA7DQogICAgc2g6cHJvcGVydHkgWw0KICAgICAg\"\n", " \"ICBzaDpwYXRoIHB5ZWR1OnRpZW5lRGlmaWN1bHRhZCA7DQogICAgICAgIHNoOm1heENvdW50IDEgOw0KICAgICAgICBzaDpkYXRh\"\n", " \"dHlwZSB4c2Q6aW50ZWdlciA7DQogICAgICAgIHNoOm1pbkluY2x1c2l2ZSAxIDsNCiAgICAgICAgc2g6bWF4SW5jbHVzaXZlIDUg\"\n", " \"Ow0KICAgICAgICBzaDptZXNzYWdlICJMYSBkaWZpY3VsdGFkLCBzaSBleGlzdGUsIGRlYmUgc2VyIHVuIGVudGVybyBlbnRyZSAx\"\n", " \"IHkgNS4iQGVzIF0gOw0KICAgIHNoOnByb3BlcnR5IFsNCiAgICAgICAgc2g6cGF0aCBza29zOmV4YWN0TWF0Y2ggOw0KICAgICAg\"\n", " \"ICBzaDpub2RlS2luZCBzaDpJUkkgOw0KICAgICAgICBzaDpwYXR0ZXJuICJeaHR0cDovL3d3dy53aWtpZGF0YS5vcmcvZW50aXR5\"\n", " \"L1FbMC05XSskIiA7DQogICAgICAgIHNoOm1lc3NhZ2UgInNrb3M6ZXhhY3RNYXRjaCBkZWJlIGFwdW50YXIgYSB1bmEgZW50aWRh\"\n", " \"ZCBXaWtpZGF0YSAoaHR0cDovL3d3dy53aWtpZGF0YS5vcmcvZW50aXR5L1HigKYpLiJAZXMgXSAuDQoNCnB5ZWR1OkVqZXJjaWNp\"\n", " \"b1NoYXBlIGEgc2g6Tm9kZVNoYXBlIDsNCiAgICBzaDp0YXJnZXRDbGFzcyBweWVkdTpFamVyY2ljaW8gOw0KICAgIHNoOnByb3Bl\"\n", " \"cnR5IFsNCiAgICAgICAgc2g6cGF0aCBweWVkdTp0aWVuZUVudW5jaWFkbyA7DQogICAgICAgIHNoOm1pbkNvdW50IDEgOw0KICAg\"\n", " \"ICAgICBzaDptZXNzYWdlICJUb2RvIGVqZXJjaWNpbyBkZWJlIHRlbmVyIHVuIGVudW5jaWFkby4iQGVzIF0gOw0KICAgIHNoOnBy\"\n", " \"b3BlcnR5IFsNCiAgICAgICAgc2g6cGF0aCBweWVkdTpjdWJyZUNvbmNlcHRvIDsNCiAgICAgICAgc2g6bWluQ291bnQgMSA7DQog\"\n", " \"ICAgICAgIHNoOmNsYXNzIHB5ZWR1OkNvbmNlcHRvIDsNCiAgICAgICAgc2g6bWVzc2FnZSAiVG9kbyBlamVyY2ljaW8gZGViZSBj\"\n", " \"dWJyaXIgYWwgbWVub3MgdW4gY29uY2VwdG8uIkBlcyBdIDsNCiAgICBzaDpwcm9wZXJ0eSBbDQogICAgICAgIHNoOnBhdGggcHll\"\n", " \"ZHU6dGllbmVEaWZpY3VsdGFkIDsNCiAgICAgICAgc2g6bWluQ291bnQgMSA7DQogICAgICAgIHNoOmRhdGF0eXBlIHhzZDppbnRl\"\n", " \"Z2VyIDsNCiAgICAgICAgc2g6bWluSW5jbHVzaXZlIDEgOw0KICAgICAgICBzaDptYXhJbmNsdXNpdmUgNSA7DQogICAgICAgIHNo\"\n", " \"Om1lc3NhZ2UgIlRvZG8gZWplcmNpY2lvIGRlYmUgZGVjbGFyYXIgdW5hIGRpZmljdWx0YWQgZW50ZXJhIGRlIDEgYSA1LiJAZXMg\"\n", " \"XSAuDQoNCnB5ZWR1OkVycm9yQ29uY2VwdHVhbFNoYXBlIGEgc2g6Tm9kZVNoYXBlIDsNCiAgICBzaDp0YXJnZXRDbGFzcyBweWVk\"\n", " \"dTpFcnJvckNvbmNlcHR1YWwgOw0KICAgIHNoOnByb3BlcnR5IFsNCiAgICAgICAgc2g6cGF0aCByZGZzOmxhYmVsIDsNCiAgICAg\"\n", " \"ICAgc2g6bWluQ291bnQgMSA7DQogICAgICAgIHNoOm1lc3NhZ2UgIlRvZG8gZXJyb3IgY29uY2VwdHVhbCBkZWJlIHRlbmVyIGV0\"\n", " \"aXF1ZXRhLiJAZXMgXSA7DQogICAgc2g6cHJvcGVydHkgWw0KICAgICAgICBzaDpwYXRoIHB5ZWR1OmVycm9yU29icmVDb25jZXB0\"\n", " \"byA7DQogICAgICAgIHNoOm1pbkNvdW50IDEgOw0KICAgICAgICBzaDpjbGFzcyBweWVkdTpDb25jZXB0byA7DQogICAgICAgIHNo\"\n", " \"Om1lc3NhZ2UgIlRvZG8gZXJyb3IgY29uY2VwdHVhbCBkZWJlIGFzb2NpYXJzZSBhbCBtZW5vcyBhIHVuIGNvbmNlcHRvLiJAZXMg\"\n", " \"XSAuDQoNCnB5ZWR1OkVudmlvRXN0dWRpYW50ZVNoYXBlIGEgc2g6Tm9kZVNoYXBlIDsNCiAgICBzaDp0YXJnZXRDbGFzcyBweWVk\"\n", " \"dTpFbnZpb0VzdHVkaWFudGUgOw0KICAgIHNoOnByb3BlcnR5IFsNCiAgICAgICAgc2g6cGF0aCBweWVkdTplbnZpYWRvUG9yIDsN\"\n", " \"CiAgICAgICAgc2g6bWluQ291bnQgMSA7DQogICAgICAgIHNoOmNsYXNzIHB5ZWR1OkVzdHVkaWFudGUgOw0KICAgICAgICBzaDpt\"\n", " \"ZXNzYWdlICJUb2RvIGVudsOtbyBkZWJlIHRlbmVyIHVuIGVzdHVkaWFudGUgYXV0b3IuIkBlcyBdIDsNCiAgICBzaDpwcm9wZXJ0\"\n", " \"eSBbDQogICAgICAgIHNoOnBhdGggcHllZHU6cmVzdWVsdmVFamVyY2ljaW8gOw0KICAgICAgICBzaDptaW5Db3VudCAxIDsNCiAg\"\n", " \"ICAgICAgc2g6Y2xhc3MgcHllZHU6RWplcmNpY2lvIDsNCiAgICAgICAgc2g6bWVzc2FnZSAiVG9kbyBlbnbDrW8gZGViZSByZXNv\"\n", " \"bHZlciB1biBlamVyY2ljaW8uIkBlcyBdIDsNCiAgICBzaDpwcm9wZXJ0eSBbDQogICAgICAgIHNoOnBhdGggcHllZHU6bnVtZXJv\"\n", " \"RGVMaW5lYXMgOw0KICAgICAgICBzaDptYXhDb3VudCAxIDsNCiAgICAgICAgc2g6ZGF0YXR5cGUgeHNkOmludGVnZXIgOw0KICAg\"\n", " \"ICAgICBzaDptaW5JbmNsdXNpdmUgMSA7DQogICAgICAgIHNoOm1lc3NhZ2UgIkVsIG7Dum1lcm8gZGUgbMOtbmVhcywgc2kgZXhp\"\n", " \"c3RlLCBkZWJlIHNlciB1biBlbnRlcm8gcG9zaXRpdm8uIkBlcyBdIC4NCg0KcHllZHU6UmVjdXJzb1NoYXBlIGEgc2g6Tm9kZVNo\"\n", " \"YXBlIDsNCiAgICBzaDp0YXJnZXRDbGFzcyBweWVkdTpSZWN1cnNvIDsNCiAgICBzaDpwcm9wZXJ0eSBbDQogICAgICAgIHNoOnBh\"\n", " \"dGggZGN0ZXJtczp0aXRsZSA7DQogICAgICAgIHNoOm1pbkNvdW50IDEgOw0KICAgICAgICBzaDptZXNzYWdlICJUb2RvIHJlY3Vy\"\n", " \"c28gZGViZSBkZWNsYXJhciB1biB0w610dWxvIChkY3Rlcm1zOnRpdGxlKS4iQGVzIF0gLg0KDQpweWVkdTpFc3R1ZGlhbnRlU2hh\"\n", " \"cGUgYSBzaDpOb2RlU2hhcGUgOw0KICAgIHNoOnRhcmdldENsYXNzIHB5ZWR1OkVzdHVkaWFudGUgOw0KICAgIHNoOnByb3BlcnR5\"\n", " \"IFsNCiAgICAgICAgc2g6cGF0aCBmb2FmOm5hbWUgOw0KICAgICAgICBzaDptaW5Db3VudCAxIDsNCiAgICAgICAgc2g6bWVzc2Fn\"\n", " \"ZSAiVG9kbyBlc3R1ZGlhbnRlIGRlYmUgdGVuZXIgZm9hZjpuYW1lLiJAZXMgXSA7DQogICAgc2g6cHJvcGVydHkgWw0KICAgICAg\"\n", " \"ICBzaDpwYXRoIHJkZnM6bGFiZWwgOw0KICAgICAgICBzaDptaW5Db3VudCAxIDsNCiAgICAgICAgc2g6bWVzc2FnZSAiVG9kbyBl\"\n", " \"c3R1ZGlhbnRlIGRlYmUgdGVuZXIgZXRpcXVldGEuIkBlcyBdIC4NCg0KcHllZHU6VGVtYVNoYXBlIGEgc2g6Tm9kZVNoYXBlIDsN\"\n", " \"CiAgICBzaDp0YXJnZXRDbGFzcyBweWVkdTpUZW1hIDsNCiAgICBzaDpwcm9wZXJ0eSBbDQogICAgICAgIHNoOnBhdGggcmRmczps\"\n", " \"YWJlbCA7DQogICAgICAgIHNoOm1pbkNvdW50IDEgOw0KICAgICAgICBzaDptZXNzYWdlICJUb2RvIHRlbWEgZGViZSB0ZW5lciBl\"\n", " \"dGlxdWV0YS4iQGVzIF0gLg0KDQpweWVkdTpOaXZlbERvbWluaW9TaGFwZSBhIHNoOk5vZGVTaGFwZSA7DQogICAgc2g6dGFyZ2V0\"\n", " \"Q2xhc3MgcHllZHU6Tml2ZWxEb21pbmlvIDsNCiAgICBzaDpwcm9wZXJ0eSBbDQogICAgICAgIHNoOnBhdGggcmRmczpsYWJlbCA7\"\n", " \"DQogICAgICAgIHNoOm1pbkNvdW50IDEgOw0KICAgICAgICBzaDptZXNzYWdlICJUb2RvIG5pdmVsIGRlIGRvbWluaW8gZGViZSB0\"\n", " \"ZW5lciBldGlxdWV0YS4iQGVzIF0gLg0KDQpweWVkdTpFdmFsdWFjaW9uRGVDb25jZXB0b1NoYXBlIGEgc2g6Tm9kZVNoYXBlIDsN\"\n", " \"CiAgICBzaDp0YXJnZXRDbGFzcyBweWVkdTpFdmFsdWFjaW9uRGVDb25jZXB0byA7DQogICAgc2g6cHJvcGVydHkgWw0KICAgICAg\"\n", " \"ICBzaDpwYXRoIHB5ZWR1OmVuRWplcmNpY2lvIDsNCiAgICAgICAgc2g6bWluQ291bnQgMSA7DQogICAgICAgIHNoOm5vZGVLaW5k\"\n", " \"IHNoOklSSSA7DQogICAgICAgIHNoOmNsYXNzIHB5ZWR1OkVqZXJjaWNpbyA7DQogICAgICAgIHNoOm1lc3NhZ2UgIkxhIGV2YWx1\"\n", " \"YWNpw7NuIGRlIGNvbmNlcHRvIGRlYmUgcmVmZXJpciBhIHVuIGVqZXJjaWNpby4iQGVzIF0gOw0KICAgIHNoOnByb3BlcnR5IFsN\"\n", " \"CiAgICAgICAgc2g6cGF0aCBweWVkdTpzb2JyZUNvbmNlcHRvIDsNCiAgICAgICAgc2g6bWluQ291bnQgMSA7DQogICAgICAgIHNo\"\n", " \"Om5vZGVLaW5kIHNoOklSSSA7DQogICAgICAgIHNoOmNsYXNzIHB5ZWR1OkNvbmNlcHRvIDsNCiAgICAgICAgc2g6bWVzc2FnZSAi\"\n", " \"TGEgZXZhbHVhY2nDs24gZGUgY29uY2VwdG8gZGViZSByZWZlcmlyIGEgdW4gY29uY2VwdG8uIkBlcyBdIDsNCiAgICBzaDpwcm9w\"\n", " \"ZXJ0eSBbDQogICAgICAgIHNoOnBhdGggcHllZHU6Y29uUGVzbyA7DQogICAgICAgIHNoOm1heENvdW50IDEgOw0KICAgICAgICBz\"\n", " \"aDpkYXRhdHlwZSB4c2Q6ZGVjaW1hbCA7DQogICAgICAgIHNoOm1pbkluY2x1c2l2ZSAwIDsNCiAgICAgICAgc2g6bWF4SW5jbHVz\"\n", " \"aXZlIDEgOw0KICAgICAgICBzaDptZXNzYWdlICJFbCBwZXNvIGRlYmUgc2VyIHVuIGRlY2ltYWwgZW50cmUgMCB5IDEuIkBlcyBd\"\n", " \"IC4NCg0KcHllZHU6RXZhbHVhY2lvbkFjdGl2aWRhZFNoYXBlIGEgc2g6Tm9kZVNoYXBlIDsNCiAgICBzaDp0YXJnZXRDbGFzcyBw\"\n", " \"eWVkdTpFdmFsdWFjaW9uQWN0aXZpZGFkIDsNCiAgICBzaDpwcm9wZXJ0eSBbDQogICAgICAgIHNoOnBhdGggcHllZHU6cG9yRXN0\"\n", " \"dWRpYW50ZSA7DQogICAgICAgIHNoOm1pbkNvdW50IDEgOw0KICAgICAgICBzaDpjbGFzcyBweWVkdTpFc3R1ZGlhbnRlIDsNCiAg\"\n", " \"ICAgICAgc2g6bWVzc2FnZSAiVG9kYSBldmFsdWFjacOzbiBkZSBhY3RpdmlkYWQgZGViZSB0ZW5lciB1biBlc3R1ZGlhbnRlLiJA\"\n", " \"ZXMgXSA7DQogICAgc2g6cHJvcGVydHkgWw0KICAgICAgICBzaDpwYXRoIHB5ZWR1OmV2YWx1YUEgOw0KICAgICAgICBzaDptaW5D\"\n", " \"b3VudCAxIDsNCiAgICAgICAgc2g6bWVzc2FnZSAiVG9kYSBldmFsdWFjacOzbiBkZSBhY3RpdmlkYWQgZGViZSBldmFsdWFyIHVu\"\n", " \"YSBhY3RpdmlkYWQuIkBlcyBdIDsNCiAgICBzaDpwcm9wZXJ0eSBbDQogICAgICAgIHNoOnBhdGggcHllZHU6b2J0dXZvTm90YSA7\"\n", " \"DQogICAgICAgIHNoOm1heENvdW50IDEgOw0KICAgICAgICBzaDpkYXRhdHlwZSB4c2Q6ZGVjaW1hbCA7DQogICAgICAgIHNoOm1p\"\n", " \"bkluY2x1c2l2ZSAwIDsNCiAgICAgICAgc2g6bWF4SW5jbHVzaXZlIDEwIDsNCiAgICAgICAgc2g6bWVzc2FnZSAiTGEgbm90YSBk\"\n", " \"ZWJlIHNlciB1biBkZWNpbWFsIGVudHJlIDAgeSAxMC4iQGVzIF0gOw0KICAgIHNoOnByb3BlcnR5IFsNCiAgICAgICAgc2g6cGF0\"\n", " \"aCBweWVkdTplbkZlY2hhIDsNCiAgICAgICAgc2g6bWF4Q291bnQgMSA7DQogICAgICAgIHNoOmRhdGF0eXBlIHhzZDpkYXRlIDsN\"\n", " \"CiAgICAgICAgc2g6bWVzc2FnZSAiTGEgZmVjaGEgZGViZSBzZXIgeHNkOmRhdGUuIkBlcyBdIC4NCg==\"\n", " ),\n", " 'ontologia/ejemplo-invalido.ttl': (\n", " \"QHByZWZpeCBweWVkdTogICA8aHR0cHM6Ly93M2lkLm9yZy9la2ctcHl0aG9uL3NjaGVtYSM+IC4NCkBwcmVmaXggcHlyOiAgICAg\"\n", " \"PGh0dHBzOi8vdzNpZC5vcmcvZWtnLXB5dGhvbi9pZC8+IC4NCkBwcmVmaXggcmRmczogICAgPGh0dHA6Ly93d3cudzMub3JnLzIw\"\n", " \"MDAvMDEvcmRmLXNjaGVtYSM+IC4NCg0KIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMj\"\n", " \"IyMjIyMjIyMjIyMjIyMNCiMgIEVqZW1wbG8gY29uIHZpb2xhY2lvbmVzIERFTElCRVJBREFTIHBhcmEgZGVtb3N0cmFyIHF1ZSBT\"\n", " \"SEFDTA0KIyAgZGV0ZWN0YSBsb3MgZGVmZWN0b3MgZGUgZm9ybWEuIE5PIGZvcm1hIHBhcnRlIGRlbCBncmFmbyB2w6FsaWRvOw0K\"\n", " \"IyAgc2UgdXNhIHNvbG8gZW4gbGEgZGVtb3N0cmFjacOzbiBkZSB2YWxpZGFjacOzbi4NCiMjIyMjIyMjIyMjIyMjIyMjIyMjIyMj\"\n", " \"IyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjDQoNCiMgQ29uY2VwdG8gc2luIHRlbWEgeSBzaW4gZXRp\"\n", " \"cXVldGEsIGNvbiBkaWZpY3VsdGFkIGZ1ZXJhIGRlIHJhbmdvICg4KS4NCnB5cjptYWxfY29uY2VwdG8gYSBweWVkdTpQcmluY2lw\"\n", " \"aW9UcmFuc3ZlcnNhbCA7DQogICAgcHllZHU6dGllbmVEaWZpY3VsdGFkIDggLg0KDQojIEVqZXJjaWNpbyBzaW4gZW51bmNpYWRv\"\n", " \"LCBzaW4gY29uY2VwdG9zIGN1YmllcnRvcyB5IHNpbiBkaWZpY3VsdGFkLg0KcHlyOm1hbF9lamVyY2ljaW8gYSBweWVkdTpFamVy\"\n", " \"Y2ljaW8gOw0KICAgIHJkZnM6bGFiZWwgIkVqZXJjaWNpbyBtYWwgZm9ybWFkbyJAZXMgLg0K\"\n", " ),\n", " 'consultas/01_conceptos_por_tema.rq': (\n", " \"UFJFRklYIHB5ZWR1OiA8aHR0cHM6Ly93M2lkLm9yZy9la2ctcHl0aG9uL3NjaGVtYSM+DQpQUkVGSVggcmRmczogIDxodHRwOi8v\"\n", " \"d3d3LnczLm9yZy8yMDAwLzAxL3JkZi1zY2hlbWEjPg0KDQpTRUxFQ1QgP3RlbWEgKEdST1VQX0NPTkNBVCg/ZXRpcXVldGE7IFNF\"\n", " \"UEFSQVRPUj0iLCAiKSBBUyA/Y29uY2VwdG9zKQ0KV0hFUkUgew0KICA/Y29uY2VwdG8gcHllZHU6cGVydGVuZWNlQVRlbWEgP3Qg\"\n", " \"Lg0KICA/dCByZGZzOmxhYmVsID90ZW1hIC4NCiAgP2NvbmNlcHRvIHJkZnM6bGFiZWwgP2V0aXF1ZXRhIC4NCiAgRklMVEVSKExB\"\n", " \"TkcoP3RlbWEpID0gImVzIikNCiAgRklMVEVSKExBTkcoP2V0aXF1ZXRhKSA9ICJlcyIpDQp9DQpHUk9VUCBCWSA/dGVtYQ0KT1JE\"\n", " \"RVIgQlkgP3RlbWENCg==\"\n", " ),\n", " 'consultas/02_inferencia_conceptos.rq': (\n", " \"UFJFRklYIHB5ZWR1OiA8aHR0cHM6Ly93M2lkLm9yZy9la2ctcHl0aG9uL3NjaGVtYSM+DQpQUkVGSVggcmRmczogIDxodHRwOi8v\"\n", " \"d3d3LnczLm9yZy8yMDAwLzAxL3JkZi1zY2hlbWEjPg0KDQpTRUxFQ1QgP2NvbmNlcHRvID9ldGlxdWV0YQ0KV0hFUkUgew0KICA/\"\n", " \"Y29uY2VwdG8gYSBweWVkdTpDb25jZXB0byA7DQogICAgICAgICAgICByZGZzOmxhYmVsID9ldGlxdWV0YSAuDQogIEZJTFRFUihM\"\n", " \"QU5HKD9ldGlxdWV0YSkgPSAiZXMiKQ0KfQ0KT1JERVIgQlkgP2V0aXF1ZXRhDQo=\"\n", " ),\n", " 'consultas/03_prerrequisitos_transitivos.rq': (\n", " \"UFJFRklYIHB5ZWR1OiA8aHR0cHM6Ly93M2lkLm9yZy9la2ctcHl0aG9uL3NjaGVtYSM+DQpQUkVGSVggcHlyOiAgIDxodHRwczov\"\n", " \"L3czaWQub3JnL2VrZy1weXRob24vaWQvPg0KUFJFRklYIHJkZnM6ICA8aHR0cDovL3d3dy53My5vcmcvMjAwMC8wMS9yZGYtc2No\"\n", " \"ZW1hIz4NCg0KU0VMRUNUIERJU1RJTkNUID9wcmVyZXF1aXNpdG8gP2V0aXF1ZXRhDQpXSEVSRSB7DQogIHB5cjpidXNxdWVkYV9i\"\n", " \"aW5hcmlhIHB5ZWR1OnJlcXVpZXJlUHJlcnJlcXVpc2l0bysgP3ByZXJlcXVpc2l0byAuDQogID9wcmVyZXF1aXNpdG8gcmRmczps\"\n", " \"YWJlbCA/ZXRpcXVldGEgLg0KICBGSUxURVIoTEFORyg/ZXRpcXVldGEpID0gImVzIikNCn0NCk9SREVSIEJZID9ldGlxdWV0YQ0K\"\n", " ),\n", " 'consultas/05_errores_por_concepto.rq': (\n", " \"UFJFRklYIHB5ZWR1OiAgIDxodHRwczovL3czaWQub3JnL2VrZy1weXRob24vc2NoZW1hIz4NClBSRUZJWCByZGZzOiAgICA8aHR0\"\n", " \"cDovL3d3dy53My5vcmcvMjAwMC8wMS9yZGYtc2NoZW1hIz4NClBSRUZJWCBkY3Rlcm1zOiA8aHR0cDovL3B1cmwub3JnL2RjL3Rl\"\n", " \"cm1zLz4NClBSRUZJWCByZGY6ICAgICA8aHR0cDovL3d3dy53My5vcmcvMTk5OS8wMi8yMi1yZGYtc3ludGF4LW5zIz4NCg0KU0VM\"\n", " \"RUNUID9lcnJvciA/Y29uY2VwdG8gP2Z1ZW50ZQ0KV0hFUkUgew0KICA/ZSBhIHB5ZWR1OkVycm9yQ29uY2VwdHVhbCA7DQogICAg\"\n", " \"IHJkZnM6bGFiZWwgP2Vycm9yIDsNCiAgICAgcHllZHU6ZXJyb3JTb2JyZUNvbmNlcHRvID9jIC4NCiAgP2MgcmRmczpsYWJlbCA/\"\n", " \"Y29uY2VwdG8gLg0KICBGSUxURVIoTEFORyg/ZXJyb3IpID0gImVzIikNCiAgRklMVEVSKExBTkcoP2NvbmNlcHRvKSA9ICJlcyIp\"\n", " \"DQogIE9QVElPTkFMIHsNCiAgICA/c3RtdCByZGY6c3ViamVjdCA/ZSA7DQogICAgICAgICAgcmRmOnByZWRpY2F0ZSBweWVkdTpl\"\n", " \"cnJvclNvYnJlQ29uY2VwdG8gOw0KICAgICAgICAgIHJkZjpvYmplY3QgP2MgOw0KICAgICAgICAgIGRjdGVybXM6c291cmNlID9y\"\n", " \"ZWYgLg0KICAgID9yZWYgZGN0ZXJtczp0aXRsZSA/ZnVlbnRlIC4NCiAgfQ0KfQ0KT1JERVIgQlkgP2Vycm9yDQo=\"\n", " ),\n", " 'consultas/06_construct_prereq_directos.rq': (\n", " \"UFJFRklYIHB5ZWR1OiA8aHR0cHM6Ly93M2lkLm9yZy9la2ctcHl0aG9uL3NjaGVtYSM+DQoNCkNPTlNUUlVDVCB7DQogID9jb25j\"\n", " \"ZXB0byBweWVkdTp0aWVuZVByZXJyZXF1aXNpdG9UcmFuc2l0aXZvID9wcmVyZXF1aXNpdG8gLg0KfQ0KV0hFUkUgew0KICA/Y29u\"\n", " \"Y2VwdG8gcHllZHU6cmVxdWllcmVQcmVycmVxdWlzaXRvKyA/cHJlcmVxdWlzaXRvIC4NCn0NCg==\"\n", " ),\n", " 'consultas/07_diagnostico_envio.rq': (\n", " \"UFJFRklYIHB5ZWR1OiA8aHR0cHM6Ly93M2lkLm9yZy9la2ctcHl0aG9uL3NjaGVtYSM+DQpQUkVGSVggcmRmczogIDxodHRwOi8v\"\n", " \"d3d3LnczLm9yZy8yMDAwLzAxL3JkZi1zY2hlbWEjPg0KDQpTRUxFQ1QgP2VudmlvID9lamVyY2ljaW8gP2Vycm9yID9jb25jZXB0\"\n", " \"b0FmZWN0YWRvID9wcmVyZXF1aXNpdG8NCldIRVJFIHsNCiAgP2VudiBhIHB5ZWR1OkVudmlvRXN0dWRpYW50ZSA7DQogICAgICAg\"\n", " \"cmRmczpsYWJlbCA/ZW52aW8gOw0KICAgICAgIHB5ZWR1OnJlc3VlbHZlRWplcmNpY2lvID9laiA7DQogICAgICAgcHllZHU6bWFu\"\n", " \"aWZpZXN0YUVycm9yID9lIC4NCiAgP2VqIHJkZnM6bGFiZWwgP2VqZXJjaWNpbyAuDQogID9lICByZGZzOmxhYmVsID9lcnJvciA7\"\n", " \"DQogICAgICBweWVkdTplcnJvclNvYnJlQ29uY2VwdG8gP2MgLg0KICA/YyAgcmRmczpsYWJlbCA/Y29uY2VwdG9BZmVjdGFkbyAu\"\n", " \"DQogIE9QVElPTkFMIHsNCiAgICA/YyBweWVkdTpyZXF1aWVyZVByZXJyZXF1aXNpdG8rID9wIC4NCiAgICA/cCByZGZzOmxhYmVs\"\n", " \"ID9wcmVyZXF1aXNpdG8gLg0KICAgIEZJTFRFUihMQU5HKD9wcmVyZXF1aXNpdG8pID0gImVzIikNCiAgfQ0KICBGSUxURVIoTEFO\"\n", " \"Ryg/ZW52aW8pID0gImVzIikNCiAgRklMVEVSKExBTkcoP2VqZXJjaWNpbykgPSAiZXMiKQ0KICBGSUxURVIoTEFORyg/ZXJyb3Ip\"\n", " \"ID0gImVzIikNCiAgRklMVEVSKExBTkcoP2NvbmNlcHRvQWZlY3RhZG8pID0gImVzIikNCn0NCk9SREVSIEJZID9lbnZpbyA/cHJl\"\n", " \"cmVxdWlzaXRvDQo=\"\n", " ),\n", " 'consultas/10_jerarquia_skos_estrella.rq': (\n", " \"UFJFRklYIHB5ZWR1OiA8aHR0cHM6Ly93M2lkLm9yZy9la2ctcHl0aG9uL3NjaGVtYSM+DQpQUkVGSVggcHlyOiAgIDxodHRwczov\"\n", " \"L3czaWQub3JnL2VrZy1weXRob24vaWQvPg0KUFJFRklYIHJkZnM6ICA8aHR0cDovL3d3dy53My5vcmcvMjAwMC8wMS9yZGYtc2No\"\n", " \"ZW1hIz4NClBSRUZJWCBza29zOiAgPGh0dHA6Ly93d3cudzMub3JnLzIwMDQvMDIvc2tvcy9jb3JlIz4NCg0KU0VMRUNUIERJU1RJ\"\n", " \"TkNUID9nZW5lcmFsID9ldGlxdWV0YQ0KV0hFUkUgew0KICBweXI6YmZzIHNrb3M6YnJvYWRlciogP2dlbmVyYWwgLg0KICA/Z2Vu\"\n", " \"ZXJhbCByZGZzOmxhYmVsID9ldGlxdWV0YSAuDQogIEZJTFRFUihMQU5HKD9ldGlxdWV0YSkgPSAiZXMiKQ0KfQ0KT1JERVIgQlkg\"\n", " \"P2V0aXF1ZXRhDQo=\"\n", " ),\n", "}\n", "\n", "for _ruta, _b64 in FICHEROS.items():\n", " _p = pathlib.Path(_ruta)\n", " _p.parent.mkdir(parents=True, exist_ok=True)\n", " _p.write_bytes(base64.b64decode(_b64))\n", " print('escrito:', _p, _p.stat().st_size, 'bytes')\n", "\n", "print()\n", "print('Setup Colab completo: datos del proyecto escritos en', pathlib.Path.cwd())" ] }, { "cell_type": "code", "execution_count": 19, "id": "48c03970", "metadata": { "execution": { "iopub.execute_input": "2026-06-23T17:17:49.077024Z", "iopub.status.busy": "2026-06-23T17:17:49.077024Z", "iopub.status.idle": "2026-06-23T17:17:49.165202Z", "shell.execute_reply": "2026-06-23T17:17:49.165202Z" }, "colab": { "base_uri": "https://localhost:8080/" }, "id": "48c03970", "outputId": "19091cd1-6562-4e7e-f81a-5d7e285ffbbc" }, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "Fichero: ekg-python-150.ttl\n", "Enunciados afirmados (tripletas): 1772\n", "Clases OWL: 20\n", "Propiedades de objeto: 21\n", "Propiedades de datos: 7\n", "Alineamientos skos:exactMatch a Wikidata: 30\n", "Relaciones skos:broader: 19\n" ] } ], "source": [ "from pathlib import Path\n", "from rdflib import Graph, RDF, RDFS, OWL, URIRef\n", "from rdflib.namespace import Namespace, SKOS, DCTERMS\n", "\n", "BASE = Path.cwd() # Colab: datos escritos por la celda de setup en el cwd\n", "ONTO = BASE / \"ontologia\" / \"ekg-python-150.ttl\"\n", "\n", "PYEDU = Namespace(\"https://w3id.org/ekg-python/schema#\")\n", "PYR = Namespace(\"https://w3id.org/ekg-python/id/\")\n", "\n", "g = Graph()\n", "g.parse(ONTO, format=\"turtle\")\n", "\n", "clases = sorted(set(g.subjects(RDF.type, OWL.Class)))\n", "obj_props = sorted(set(g.subjects(RDF.type, OWL.ObjectProperty)))\n", "dat_props = sorted(set(g.subjects(RDF.type, OWL.DatatypeProperty)))\n", "exact = list(g.triples((None, SKOS.exactMatch, None)))\n", "broader = list(g.triples((None, SKOS.broader, None)))\n", "\n", "print(\"Fichero:\", ONTO.name)\n", "print(\"Enunciados afirmados (tripletas):\", len(g))\n", "print(\"Clases OWL:\", len(clases))\n", "print(\"Propiedades de objeto:\", len(obj_props))\n", "print(\"Propiedades de datos:\", len(dat_props))\n", "print(\"Alineamientos skos:exactMatch a Wikidata:\", len(exact))\n", "print(\"Relaciones skos:broader:\", len(broader))" ] }, { "cell_type": "markdown", "id": "cc44f8ed", "metadata": { "id": "cc44f8ed" }, "source": [ "### La TBox: clases del esquema\n", "\n", "`pyedu:EntidadEducativa` es la superclase abstracta. De ella derivan, por una parte, `pyedu:Concepto`\n", "(que además es subclase de `skos:Concept`, lo que habilita la red conceptual `skos:broader/narrower/related`)\n", "y, por otra, las entidades del proceso educativo (`Tema`, `Ejercicio`, `EnvioEstudiante`, `ErrorConceptual`,\n", "`Estudiante`, `Recurso`, etc.). Las subcategorías de concepto (`EstructuraDeDatos`, `EstructuraDeControl`,\n", "`Paradigma`, `PrincipioTransversal`, `ModuloLibreria`, `FuncionIntegrada`, `TipoDeDato`) son subclases de\n", "`pyedu:Concepto`. La pertenencia a `Concepto` nunca se afirma a mano para un individuo: la deduce el razonador\n", "por `rdfs:subClassOf` cuando se activa (lo veremos en la sección 3)." ] }, { "cell_type": "code", "execution_count": 20, "id": "a7cede93", "metadata": { "execution": { "iopub.execute_input": "2026-06-23T17:17:49.166206Z", "iopub.status.busy": "2026-06-23T17:17:49.166206Z", "iopub.status.idle": "2026-06-23T17:17:49.169383Z", "shell.execute_reply": "2026-06-23T17:17:49.169383Z" }, "colab": { "base_uri": "https://localhost:8080/" }, "id": "a7cede93", "outputId": "19bbbd58-ab7e-47c8-9373-d5738dc21296" }, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "CLASES OWL DEL ESQUEMA\n", "----------------------------------------------------------------------\n", " Competencia Competencia ⊑ EntidadEducativa\n", " Concepto Concepto de programación ⊑ Concept, EntidadEducativa\n", " Ejercicio Ejercicio o enunciado ⊑ EntidadEducativa\n", " EntidadEducativa Entidad educativa\n", " EnvioEstudiante Envío de estudiante ⊑ EntidadEducativa\n", " ErrorConceptual Error conceptual (misconception) ⊑ EntidadEducativa\n", " EstructuraDeControl Estructura de control ⊑ Concepto\n", " EstructuraDeDatos Estructura de datos ⊑ Concepto\n", " Estudiante Estudiante ⊑ EntidadEducativa\n", " EvaluacionActividad Evaluación de actividad ⊑ EntidadEducativa\n", " EvaluacionDeConcepto Evaluación de concepto ⊑ EntidadEducativa\n", " FuncionIntegrada Función integrada ⊑ Concepto\n", " ModuloLibreria Módulo o librería ⊑ Concepto\n", " NivelDominio Nivel de dominio ⊑ Concept\n", " Paradigma Paradigma de programación ⊑ Concepto\n", " PrincipioTransversal Principio transversal ⊑ Concepto\n", " Recurso Recurso de aprendizaje ⊑ EntidadEducativa\n", " RutaAprendizaje Ruta de aprendizaje ⊑ EntidadEducativa\n", " Tema Tema curricular ⊑ EntidadEducativa\n", " TipoDeDato Tipo de dato ⊑ Concepto\n" ] } ], "source": [ "def etiqueta(s, lang=\"es\"):\n", " for o in g.objects(s, RDFS.label):\n", " if getattr(o, \"language\", None) == lang:\n", " return str(o)\n", " for o in g.objects(s, RDFS.label):\n", " return str(o)\n", " return s.split(\"#\")[-1].split(\"/\")[-1]\n", "\n", "print(\"CLASES OWL DEL ESQUEMA\")\n", "print(\"-\" * 70)\n", "for c in clases:\n", " supers = [s.split(\"#\")[-1].split(\"/\")[-1] for s in g.objects(c, RDFS.subClassOf)]\n", " sub = (\" ⊑ \" + \", \".join(supers)) if supers else \"\"\n", " print(f\" {c.split('#')[-1]:<22} {etiqueta(c)}{sub}\")" ] }, { "cell_type": "markdown", "id": "dfb2783e", "metadata": { "id": "dfb2783e" }, "source": [ "### La TBox: propiedades de objeto y de datos\n", "\n", "Las propiedades de objeto modelan las relaciones pedagógicas. Destacan las que llevan caracterización OWL:\n", "\n", "- `pyedu:esPrerrequisitoDe` es transitiva (`owl:TransitiveProperty`) e inversa de\n", " `pyedu:requierePrerrequisito` (`owl:inverseOf`): el razonador materializa los prerrequisitos indirectos.\n", "- `pyedu:contrastaCon` es simétrica (`owl:SymmetricProperty`): empareja conceptos que suelen confundirse.\n", "- `esPrerrequisitoDe`, `contrastaCon`, `generaliza`, `seAplicaA` son subpropiedades de\n", " `relacionadoConceptualmenteCon` (`rdfs:subPropertyOf`).\n", "\n", "Las propiedades de datos llevan literales tipados (`xsd:integer`, `xsd:decimal`, `xsd:date`, `rdf:langString`).\n", "`pyedu:tieneDificultad` es funcional (`owl:FunctionalProperty`): admite a lo sumo un valor por entidad." ] }, { "cell_type": "code", "execution_count": 21, "id": "567b894d", "metadata": { "execution": { "iopub.execute_input": "2026-06-23T17:17:49.170386Z", "iopub.status.busy": "2026-06-23T17:17:49.170386Z", "iopub.status.idle": "2026-06-23T17:17:49.174385Z", "shell.execute_reply": "2026-06-23T17:17:49.174385Z" }, "colab": { "base_uri": "https://localhost:8080/" }, "id": "567b894d", "outputId": "f50daea1-d643-42bd-b43b-f3ba892f7485" }, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "PROPIEDADES DE OBJETO\n", "----------------------------------------------------------------------\n", " aNivelDominio - -> NivelDominio\n", " contrastaCon Concepto -> Concepto [simétrica; ⊑ relacionadoConceptualmenteCon]\n", " cubreConcepto Ejercicio -> Concepto\n", " dominaConcepto Estudiante -> Concepto\n", " enEjercicio EvaluacionDeConcepto -> Ejercicio\n", " enviadoPor EnvioEstudiante -> Estudiante\n", " errorSobreConcepto ErrorConceptual -> Concepto\n", " esPrerrequisitoDe Concepto -> Concepto [transitiva; inversa de requierePrerrequisito; ⊑ relacionadoConceptualmenteCon]\n", " especializa Concepto -> Concepto\n", " evaluaA EvaluacionActividad -> Ejercicio\n", " evaluaCompetencia Ejercicio -> Competencia\n", " generaliza Concepto -> Concepto [inversa de especializa; ⊑ relacionadoConceptualmenteCon]\n", " ilustraConcepto Recurso -> Concepto\n", " manifiestaError EnvioEstudiante -> ErrorConceptual\n", " perteneceATema Concepto -> Tema\n", " porEstudiante EvaluacionActividad -> Estudiante\n", " relacionadoConceptualmenteCon Concepto -> Concepto\n", " requierePrerrequisito Concepto -> Concepto [transitiva]\n", " resuelveEjercicio EnvioEstudiante -> Ejercicio\n", " seAplicaA Concepto -> Concepto [⊑ relacionadoConceptualmenteCon]\n", " sobreConcepto EvaluacionDeConcepto -> Concepto\n", "\n", "PROPIEDADES DE DATOS\n", "----------------------------------------------------------------------\n", " conPeso EvaluacionDeConcepto -> decimal\n", " enFecha EvaluacionActividad -> date\n", " numeroDeLineas EnvioEstudiante -> integer\n", " obtuvoNota EvaluacionActividad -> decimal\n", " tieneDificultad EntidadEducativa -> integer [funcional]\n", " tieneEjemploCodigo - -> string\n", " tieneEnunciado Ejercicio -> langString\n" ] } ], "source": [ "def caracteristicas(p):\n", " tipos = set(g.objects(p, RDF.type))\n", " flags = []\n", " if OWL.TransitiveProperty in tipos: flags.append(\"transitiva\")\n", " if OWL.SymmetricProperty in tipos: flags.append(\"simétrica\")\n", " if OWL.FunctionalProperty in tipos: flags.append(\"funcional\")\n", " inv = [x.split(\"#\")[-1] for x in g.objects(p, OWL.inverseOf)]\n", " if inv: flags.append(\"inversa de \" + \", \".join(inv))\n", " sup = [x.split(\"#\")[-1] for x in g.objects(p, RDFS.subPropertyOf)]\n", " if sup: flags.append(\"⊑ \" + \", \".join(sup))\n", " return flags\n", "\n", "def rango(p):\n", " dom = [x.split(\"#\")[-1].split(\"/\")[-1] for x in g.objects(p, RDFS.domain)]\n", " ran = [x.split(\"#\")[-1].split(\"/\")[-1] for x in g.objects(p, RDFS.range)]\n", " d = dom[0] if dom else \"-\"\n", " r = ran[0] if ran else \"-\"\n", " return f\"{d} -> {r}\"\n", "\n", "print(\"PROPIEDADES DE OBJETO\")\n", "print(\"-\" * 70)\n", "for p in obj_props:\n", " extra = caracteristicas(p)\n", " s = f\" {p.split('#')[-1]:<28} {rango(p)}\"\n", " if extra: s += \" [\" + \"; \".join(extra) + \"]\"\n", " print(s)\n", "\n", "print()\n", "print(\"PROPIEDADES DE DATOS\")\n", "print(\"-\" * 70)\n", "for p in dat_props:\n", " extra = caracteristicas(p)\n", " s = f\" {p.split('#')[-1]:<28} {rango(p)}\"\n", " if extra: s += \" [\" + \"; \".join(extra) + \"]\"\n", " print(s)" ] }, { "cell_type": "markdown", "id": "ed5afe0e", "metadata": { "id": "ed5afe0e" }, "source": [ "### Ejemplos del dominio: conceptos, prerrequisitos y contrastes\n", "\n", "Mostramos algunos individuos reales del grafo con su dificultad declarada, su tema, sus prerrequisitos directos\n", "y los conceptos con los que contrasta. Por ejemplo, *Recursión* requiere *Función* y contrasta con *Bucle for*;\n", "*Copia profunda* requiere y contrasta con *Copia superficial*." ] }, { "cell_type": "code", "execution_count": 22, "id": "bd2de807", "metadata": { "execution": { "iopub.execute_input": "2026-06-23T17:17:49.175464Z", "iopub.status.busy": "2026-06-23T17:17:49.175464Z", "iopub.status.idle": "2026-06-23T17:17:49.178465Z", "shell.execute_reply": "2026-06-23T17:17:49.178465Z" }, "colab": { "base_uri": "https://localhost:8080/" }, "id": "bd2de807", "outputId": "0e1f9f34-719f-499b-fbf0-dd02f6b735df" }, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "Recursión (dificultad 4; tema: Recursión)\n", " requiere: Función\n", " contrasta con: Bucle for\n", "\n", "Bucle for (dificultad 2; tema: Control de flujo)\n", " requiere: (ninguno)\n", " contrasta con: (ninguno)\n", "\n", "Lista (dificultad 2; tema: Estructuras de datos)\n", " requiere: (ninguno)\n", " contrasta con: (ninguno)\n", "\n", "Copia profunda (dificultad 4; tema: Sistema de tipos)\n", " requiere: Copia superficial\n", " contrasta con: Copia superficial\n", "\n", "Clase abstracta (ABC) (dificultad 5; tema: Programación orientada a objetos)\n", " requiere: Herencia\n", " contrasta con: (ninguno)\n", "\n", "Búsqueda binaria (dificultad 4; tema: Complejidad algorítmica)\n", " requiere: Bucle while, Indexación\n", " contrasta con: (ninguno)\n", "\n" ] } ], "source": [ "def label_o_id(s):\n", " return etiqueta(s) if list(g.objects(s, RDFS.label)) else str(s).split(\"/\")[-1]\n", "\n", "muestra = [PYR.recursion, PYR.bucle_for, PYR.lista, PYR.copia_profunda,\n", " PYR.abstract_class, PYR.busqueda_binaria]\n", "\n", "for s in muestra:\n", " lbl = etiqueta(s)\n", " dif = next(iter(g.objects(s, PYEDU.tieneDificultad)), None)\n", " tema = next((label_o_id(t) for t in g.objects(s, PYEDU.perteneceATema)), \"-\")\n", " prereq = [label_o_id(p) for p in g.objects(s, PYEDU.requierePrerrequisito)]\n", " contr = [label_o_id(c) for c in g.objects(s, PYEDU.contrastaCon)]\n", " print(f\"{lbl} (dificultad {dif}; tema: {tema})\")\n", " print(f\" requiere: {', '.join(prereq) if prereq else '(ninguno)'}\")\n", " print(f\" contrasta con: {', '.join(contr) if contr else '(ninguno)'}\")\n", " print()" ] }, { "cell_type": "code", "execution_count": 23, "id": "1f3bfd27", "metadata": { "execution": { "iopub.execute_input": "2026-06-23T17:17:49.179562Z", "iopub.status.busy": "2026-06-23T17:17:49.179562Z", "iopub.status.idle": "2026-06-23T17:17:49.181672Z", "shell.execute_reply": "2026-06-23T17:17:49.181672Z" }, "colab": { "base_uri": "https://localhost:8080/" }, "id": "1f3bfd27", "outputId": "120ccc20-ba37-4aa9-81ec-8a7d5b8a4917" }, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "Errores conceptuales modelados (misconceptions): 16\n", "----------------------------------------------------------------------\n", " Capturar Exception de forma demasiado amplia: sobre Jerarquía de excepciones\n", " Comparar flotantes con ==: sobre Flotante (float)\n", " Concatenar cadena y número (TypeError): sobre Conversión de tipos\n", " Confundir variable global y local: sobre Ámbito de variables (scope)\n", " Confusión == frente a is: sobre Booleano (bool)\n", " Confusión iteración / recursión: sobre Recursión\n", " Confusión paso por valor / por referencia: sobre Mutabilidad\n", " Copia superficial cuando se necesita profunda: sobre Copia superficial\n", " Decorador sin functools.wraps: sobre Decorador\n", " Error de índice por uno (off-by-one): sobre Indexación\n", " Esperar paralelismo real con hilos (GIL): sobre GIL\n", " Late binding en clausuras de bucle: sobre Clausura (closure)\n" ] } ], "source": [ "errores = list(g.subjects(RDF.type, PYEDU.ErrorConceptual))\n", "print(f\"Errores conceptuales modelados (misconceptions): {len(errores)}\")\n", "print(\"-\" * 70)\n", "for e in sorted(errores, key=lambda x: etiqueta(x))[:12]:\n", " concepto = next((etiqueta(c) for c in g.objects(e, PYEDU.errorSobreConcepto)), \"-\")\n", " print(f\" {etiqueta(e)}: sobre {concepto}\")" ] }, { "cell_type": "markdown", "id": "8c7e3324", "metadata": { "id": "8c7e3324" }, "source": [ "## 3. Inferencia OWL 2 RL\n", "\n", "El grafo está diseñado para que el razonamiento aporte un valor visible. Ningún individuo se afirma directamente como\n", "`pyedu:Concepto`; se tipa por su subcategoría (por ejemplo, `pyr:lista a pyedu:EstructuraDeDatos`). De ahí dos efectos:\n", "\n", "- Sin razonamiento, la consulta «todo lo que es `pyedu:Concepto`» devuelve 0 filas.\n", "- Con el cierre OWL 2 RL, `rdfs:subClassOf` propaga el tipo y la consulta devuelve 157 conceptos, los 157\n", " propios del dominio. Las 30 entidades de Wikidata enlazadas con `skos:exactMatch` no se infieren como\n", " `pyedu:Concepto`, precisamente porque `skos:exactMatch` enlaza sin propagar el tipo, a diferencia de `owl:sameAs`.\n", "\n", "A escala global, el grafo pasa de 1772 enunciados afirmados a 4786 tripletas tras la materialización.\n", "Usamos `owlrl` para calcular el cierre deductivo y dejamos ambas cifras embebidas." ] }, { "cell_type": "code", "execution_count": 24, "id": "716c5d09", "metadata": { "execution": { "iopub.execute_input": "2026-06-23T17:17:49.182676Z", "iopub.status.busy": "2026-06-23T17:17:49.182676Z", "iopub.status.idle": "2026-06-23T17:17:50.522327Z", "shell.execute_reply": "2026-06-23T17:17:50.522327Z" }, "colab": { "base_uri": "https://localhost:8080/" }, "id": "716c5d09", "outputId": "5b417059-9fc1-4e57-c3d6-acac34decb41" }, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ " SIN inferencia CON OWL 2 RL\n", "--------------------------------------------------------\n", " Tripletas en el grafo 1772 4786\n", " ?x a pyedu:Concepto 0 157\n", "\n", " Tripletas inferidas por el razonador: +3014\n", " Conceptos materializados por rdfs:subClassOf: 157\n" ] } ], "source": [ "import owlrl\n", "\n", "def cuenta_conceptos(grafo):\n", " q = \"\"\"PREFIX pyedu: \n", " SELECT (COUNT(DISTINCT ?x) AS ?n) WHERE { ?x a pyedu:Concepto }\"\"\"\n", " return int(next(iter(grafo.query(q)))[0])\n", "\n", "g_base = Graph(); g_base.parse(ONTO, format=\"turtle\")\n", "n_base = cuenta_conceptos(g_base)\n", "t_base = len(g_base)\n", "\n", "g_inf = Graph(); g_inf.parse(ONTO, format=\"turtle\")\n", "owlrl.DeductiveClosure(owlrl.OWLRL_Semantics).expand(g_inf)\n", "n_inf = cuenta_conceptos(g_inf)\n", "t_inf = len(g_inf)\n", "\n", "print(\" SIN inferencia CON OWL 2 RL\")\n", "print(\"-\" * 56)\n", "print(f\" Tripletas en el grafo {t_base:>7} {t_inf:>7}\")\n", "print(f\" ?x a pyedu:Concepto {n_base:>7} {n_inf:>7}\")\n", "print()\n", "print(f\" Tripletas inferidas por el razonador: +{t_inf - t_base}\")\n", "print(f\" Conceptos materializados por rdfs:subClassOf: {n_inf}\")" ] }, { "cell_type": "code", "execution_count": 25, "id": "d8085ded", "metadata": { "execution": { "iopub.execute_input": "2026-06-23T17:17:50.522327Z", "iopub.status.busy": "2026-06-23T17:17:50.522327Z", "iopub.status.idle": "2026-06-23T17:17:50.532055Z", "shell.execute_reply": "2026-06-23T17:17:50.532055Z" }, "colab": { "base_uri": "https://localhost:8080/" }, "id": "d8085ded", "outputId": "98a223e2-c77e-4604-a118-de3857f80cd6" }, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "Entidades de Wikidata inferidas como pyedu:Concepto: 0\n", "(esperado 0: skos:exactMatch NO propaga el tipo; owl:sameAs sí lo haría)\n" ] } ], "source": [ "consulta_clase = \"\"\"PREFIX pyedu: \n", "SELECT (COUNT(*) AS ?wikidata_como_concepto) WHERE {\n", " ?wd a pyedu:Concepto .\n", " FILTER(STRSTARTS(STR(?wd), \"http://www.wikidata.org/entity/\"))\n", "}\"\"\"\n", "n_wd = int(next(iter(g_inf.query(consulta_clase)))[0])\n", "print(\"Entidades de Wikidata inferidas como pyedu:Concepto:\", n_wd)\n", "print(\"(esperado 0: skos:exactMatch NO propaga el tipo; owl:sameAs sí lo haría)\")" ] }, { "cell_type": "markdown", "id": "6d8ac336", "metadata": { "id": "6d8ac336" }, "source": [ "## 4. Consultas SPARQL sobre el grafo\n", "\n", "El proyecto incluye diez consultas SPARQL en `consultas/*.rq`. Ejecutamos varias de ellas sobre el grafo con\n", "inferencia y mostramos los resultados. Cubren los distintos casos de uso didácticos:\n", "\n", "- La 02 evidencia la inferencia (`?x a pyedu:Concepto`): 0 sin razonar, 157 con razonamiento.\n", "- La 01 agrupa conceptos por tema (`GROUP_CONCAT`).\n", "- La 03 calcula prerrequisitos transitivos con un *property path* `+`, sin necesidad de razonador.\n", "- La 05 lista errores conceptuales y su concepto, con procedencia bibliográfica por reificación.\n", "- La 07 es el caso de uso del TFM: dado un envío, recupera ejercicio, error, concepto y prerrequisitos.\n", "- La 10 usa el *property path* `*` (cierre transitivo reflexivo) sobre `skos:broader`." ] }, { "cell_type": "code", "execution_count": 26, "id": "d879e613", "metadata": { "execution": { "iopub.execute_input": "2026-06-23T17:17:50.533565Z", "iopub.status.busy": "2026-06-23T17:17:50.533565Z", "iopub.status.idle": "2026-06-23T17:17:50.588245Z", "shell.execute_reply": "2026-06-23T17:17:50.588245Z" }, "colab": { "base_uri": "https://localhost:8080/" }, "id": "d879e613", "outputId": "caa1f5d0-1769-4a47-aafa-0d9259a3302f" }, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "========================================================================\n", "02_inferencia_conceptos.rq\n", "========================================================================\n", "concepto | etiqueta\n", "------------------------------------------------------------------------\n", "https://w3id.org/ekg-python/id/args_kwargs | *args y **kwargs\n", "https://w3id.org/ekg-python/id/anotaciones_tipo | Anotaciones de tipo\n", "https://w3id.org/ekg-python/id/abrir_fichero | Apertura de ficheros (open)\n", "https://w3id.org/ekg-python/id/valor_por_defecto | Argumentos por defecto\n", "https://w3id.org/ekg-python/id/argumentos_nombrados | Argumentos por nombre\n", "https://w3id.org/ekg-python/id/asignacion | Asignación\n", "https://w3id.org/ekg-python/id/atributo | Atributo de instancia\n", "https://w3id.org/ekg-python/id/backtracking | Backtracking\n", "https://w3id.org/ekg-python/id/tipo_bool | Booleano (bool)\n", "https://w3id.org/ekg-python/id/bucle_for | Bucle for\n", "https://w3id.org/ekg-python/id/bucle_while | Bucle while\n", "https://w3id.org/ekg-python/id/tipo_bytes | Bytes\n", "... (145 filas más)\n", "(157 filas)\n", "\n", "========================================================================\n", "01_conceptos_por_tema.rq\n", "========================================================================\n", "tema | conceptos\n", "------------------------------------------------------------------------\n", "Algoritmos | Árbol, Backtracking, Programación dinámica, sorted() y sort(), Tabla hash, Búsqueda lineal, Ordenación de burbuja, Ordenación por mezcla, Ordenación rápida, Recorrido en anchura (BFS), Recorrido en profundidad (DFS), Grafo (estructura), Notación O grande\n", "Cadenas de texto | Codificación de texto, Formateo de cadenas, f-strings, Métodos de cadena, Expresiones regulares (re), Slicing de cadenas\n", "Complejidad algorítmica | Complejidad temporal, Búsqueda binaria\n", "Concurrencia | asyncio, Corrutina, async/await, Hilos (threading), Multiproceso, GIL\n", "... (12 filas más)\n", "(16 filas)\n", "\n" ] } ], "source": [ "CONS = BASE / \"consultas\"\n", "\n", "def ejecuta(nombre, grafo, maxfilas=None):\n", " q = (CONS / nombre).read_text(encoding=\"utf-8\")\n", " res = grafo.query(q)\n", " print(\"=\" * 72)\n", " print(nombre)\n", " print(\"=\" * 72)\n", " if res.type == \"CONSTRUCT\":\n", " cg = Graph()\n", " for t in res: cg.add(t)\n", " print(f\"[CONSTRUCT] {len(cg)} tripletas generadas\")\n", " return\n", " cols = [str(v) for v in res.vars]\n", " print(\" | \".join(cols))\n", " print(\"-\" * 72)\n", " filas = list(res)\n", " for i, row in enumerate(filas):\n", " if maxfilas and i >= maxfilas:\n", " print(f\"... ({len(filas) - maxfilas} filas más)\")\n", " break\n", " print(\" | \".join(\"\" if row[v] is None else str(row[v]) for v in res.vars))\n", " print(f\"({len(filas)} filas)\\n\")\n", "\n", "ejecuta(\"02_inferencia_conceptos.rq\", g_inf, maxfilas=12)\n", "ejecuta(\"01_conceptos_por_tema.rq\", g_inf, maxfilas=4)" ] }, { "cell_type": "code", "execution_count": 27, "id": "5e8e22d7", "metadata": { "execution": { "iopub.execute_input": "2026-06-23T17:17:50.590249Z", "iopub.status.busy": "2026-06-23T17:17:50.589250Z", "iopub.status.idle": "2026-06-23T17:17:50.624844Z", "shell.execute_reply": "2026-06-23T17:17:50.624844Z" }, "colab": { "base_uri": "https://localhost:8080/" }, "id": "5e8e22d7", "outputId": "e10d06c6-8cec-4d3b-8a2f-cb28c8d479e3" }, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "========================================================================\n", "03_prerrequisitos_transitivos.rq\n", "========================================================================\n", "prerequisito | etiqueta\n", "------------------------------------------------------------------------\n", "https://w3id.org/ekg-python/id/tipo_bool | Booleano (bool)\n", "https://w3id.org/ekg-python/id/bucle_while | Bucle while\n", "https://w3id.org/ekg-python/id/condicional | Condicional (if)\n", "https://w3id.org/ekg-python/id/indexacion | Indexación\n", "https://w3id.org/ekg-python/id/lista | Lista\n", "(5 filas)\n", "\n", "========================================================================\n", "05_errores_por_concepto.rq\n", "========================================================================\n", "error | concepto | fuente\n", "------------------------------------------------------------------------\n", "Capturar Exception de forma demasiado amplia | Jerarquía de excepciones | \n", "Comparar flotantes con == | Flotante (float) | \n", "Concatenar cadena y número (TypeError) | Conversión de tipos | \n", "Confundir variable global y local | Ámbito de variables (scope) | \n", "Confusión == frente a is | Booleano (bool) | \n", "Confusión iteración / recursión | Recursión | \n", "Confusión paso por valor / por referencia | Mutabilidad | \n", "Copia superficial cuando se necesita profunda | Copia superficial | \n", "... (8 filas más)\n", "(16 filas)\n", "\n", "========================================================================\n", "06_construct_prereq_directos.rq\n", "========================================================================\n", "[CONSTRUCT] 356 tripletas generadas\n" ] } ], "source": [ "ejecuta(\"03_prerrequisitos_transitivos.rq\", g_inf)\n", "ejecuta(\"05_errores_por_concepto.rq\", g_inf, maxfilas=8)\n", "ejecuta(\"06_construct_prereq_directos.rq\", g_inf)" ] }, { "cell_type": "code", "execution_count": 28, "id": "4fb35e67", "metadata": { "execution": { "iopub.execute_input": "2026-06-23T17:17:50.624844Z", "iopub.status.busy": "2026-06-23T17:17:50.624844Z", "iopub.status.idle": "2026-06-23T17:17:50.653937Z", "shell.execute_reply": "2026-06-23T17:17:50.653937Z" }, "colab": { "base_uri": "https://localhost:8080/" }, "id": "4fb35e67", "outputId": "96235c04-bb06-4a57-abd5-85ebfa04958e" }, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "========================================================================\n", "07_diagnostico_envio.rq\n", "========================================================================\n", "envio | ejercicio | error | conceptoAfectado | prerequisito\n", "------------------------------------------------------------------------\n", "Envío 001 | Búsqueda binaria sobre lista ordenada | Error de índice por uno (off-by-one) | Indexación | Lista\n", "Envío 002 | Factorial recursivo | Confusión iteración / recursión | Recursión | Función\n", "(2 filas)\n", "\n", "========================================================================\n", "10_jerarquia_skos_estrella.rq\n", "========================================================================\n", "general | etiqueta\n", "------------------------------------------------------------------------\n", "https://w3id.org/ekg-python/id/grafo_estr | Grafo (estructura)\n", "https://w3id.org/ekg-python/id/bfs | Recorrido en anchura (BFS)\n", "(2 filas)\n", "\n" ] } ], "source": [ "ejecuta(\"07_diagnostico_envio.rq\", g_inf)\n", "ejecuta(\"10_jerarquia_skos_estrella.rq\", g_inf)" ] }, { "cell_type": "markdown", "id": "a39b0aae", "metadata": { "id": "a39b0aae" }, "source": [ "La consulta 07 materializa el caso de uso central del TFM. Para el *Envío 001* (búsqueda binaria),\n", "detecta el error *off-by-one* sobre el concepto *Indexación* y recupera *Lista* como prerrequisito que el estudiante\n", "podría no dominar; para el *Envío 002* (factorial recursivo), señala el error *iteración/recursión* sobre *Recursión*, con\n", "*Función* como prerrequisito. Ese subgrafo es exactamente el contexto que el GraphRAG inyecta en el modelo.\n", "\n", "La consulta 10 ilustra la diferencia entre `*` (cero o más pasos, que incluye el nodo de partida y devuelve 2 filas,\n", "*BFS* y *Grafo*) y `+` (uno o más pasos, que lo excluye y deja solo *Grafo*)." ] }, { "cell_type": "markdown", "id": "ddf2d351", "metadata": { "id": "ddf2d351" }, "source": [ "## 5. Validación SHACL: conformidad y control negativo\n", "\n", "La integridad estructural del grafo se verifica con SHACL (`ontologia/shapes-ekg.ttl`). Las *shapes* exigen,\n", "entre otras restricciones, que todo concepto tenga etiqueta y pertenezca a un tema, que la dificultad sea un entero\n", "entre 1 y 5, que `skos:exactMatch` apunte a una entidad Wikidata válida, y que todo ejercicio tenga enunciado,\n", "dificultad y al menos un concepto cubierto. La validación se hace sobre el grafo con inferencia, para que\n", "`sh:targetClass pyedu:Concepto` alcance los tipos inferidos.\n", "\n", "Validamos primero el grafo canónico, que debe resultar conforme, y después un control negativo\n", "(`ontologia/ejemplo-invalido.ttl`) con violaciones deliberadas, que debe fallar. Si el control negativo\n", "dispara violaciones, queda claro que la validación discrimina y no acepta cualquier entrada." ] }, { "cell_type": "code", "execution_count": 29, "id": "bcff4405", "metadata": { "execution": { "iopub.execute_input": "2026-06-23T17:17:50.653937Z", "iopub.status.busy": "2026-06-23T17:17:50.653937Z", "iopub.status.idle": "2026-06-23T17:17:50.923888Z", "shell.execute_reply": "2026-06-23T17:17:50.923888Z" }, "colab": { "base_uri": "https://localhost:8080/" }, "id": "bcff4405", "outputId": "c7fce85a-c58c-4844-e5c2-4cc18fe06a3a" }, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "VALIDACIÓN DEL GRAFO CANÓNICO (ekg-python-150.ttl)\n", "------------------------------------------------------------\n", "Conforme: True\n" ] } ], "source": [ "from pyshacl import validate\n", "\n", "SHAPES = BASE / \"ontologia\" / \"shapes-ekg.ttl\"\n", "\n", "conforme, _, texto = validate(\n", " data_graph=ONTO.read_text(encoding=\"utf-8\"),\n", " shacl_graph=SHAPES.read_text(encoding=\"utf-8\"),\n", " data_graph_format=\"turtle\", shacl_graph_format=\"turtle\",\n", " inference=\"rdfs\", advanced=True)\n", "\n", "print(\"VALIDACIÓN DEL GRAFO CANÓNICO (ekg-python-150.ttl)\")\n", "print(\"-\" * 60)\n", "print(\"Conforme:\", conforme)" ] }, { "cell_type": "code", "execution_count": 30, "id": "f152ed15", "metadata": { "execution": { "iopub.execute_input": "2026-06-23T17:17:50.925904Z", "iopub.status.busy": "2026-06-23T17:17:50.925904Z", "iopub.status.idle": "2026-06-23T17:17:51.159634Z", "shell.execute_reply": "2026-06-23T17:17:51.159634Z" }, "colab": { "base_uri": "https://localhost:8080/" }, "id": "f152ed15", "outputId": "72e58673-ce23-4c18-eb40-f254a537fd66" }, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "CONTROL NEGATIVO (grafo canónico + ejemplo-invalido.ttl)\n", "------------------------------------------------------------\n", "Conforme: False\n", "Violaciones detectadas: 6\n", "\n", " Focus Node: pyr:mal_concepto\n", " Message: La dificultad, si existe, debe ser un entero entre 1 y 5.\n", " Focus Node: pyr:mal_ejercicio\n", " Message: Todo ejercicio debe cubrir al menos un concepto.\n", " Focus Node: pyr:mal_concepto\n", " Message: Todo concepto debe pertenecer al menos a un tema.\n", " Focus Node: pyr:mal_ejercicio\n", " Message: Todo ejercicio debe declarar una dificultad entera de 1 a 5.\n", " Focus Node: pyr:mal_concepto\n", " Message: Todo concepto debe tener al menos una etiqueta rdfs:label.\n", " Focus Node: pyr:mal_ejercicio\n", " Message: Todo ejercicio debe tener un enunciado.\n" ] } ], "source": [ "INVALIDO = BASE / \"ontologia\" / \"ejemplo-invalido.ttl\"\n", "\n", "# Misma lógica que scripts/validar.py: se valida el grafo canónico (150 conceptos)\n", "# MÁS ejemplo-invalido.ttl, con inferencia RDFS y modo avanzado. Las violaciones se\n", "# cuentan como sujetos distintos con sh:resultMessage en el grafo de resultados.\n", "from rdflib.namespace import SH\n", "\n", "g_neg = Graph()\n", "g_neg.parse(ONTO, format=\"turtle\")\n", "g_neg.parse(INVALIDO, format=\"turtle\")\n", "\n", "conforme_neg, report_neg, texto_neg = validate(\n", " g_neg,\n", " shacl_graph=SHAPES.read_text(encoding=\"utf-8\"),\n", " shacl_graph_format=\"turtle\",\n", " inference=\"rdfs\", advanced=True)\n", "\n", "n_viol = len(set(report_neg.subjects(SH.resultMessage, None)))\n", "print(\"CONTROL NEGATIVO (grafo canónico + ejemplo-invalido.ttl)\")\n", "print(\"-\" * 60)\n", "print(\"Conforme:\", conforme_neg)\n", "print(\"Violaciones detectadas:\", n_viol)\n", "print()\n", "for linea in texto_neg.splitlines():\n", " if \"Message:\" in linea or \"Focus Node\" in linea:\n", " print(\" \", linea.strip())" ] }, { "cell_type": "markdown", "id": "e3ea787b", "metadata": { "id": "e3ea787b" }, "source": [ "## 6. Enlazado a Wikidata con `skos:exactMatch`\n", "\n", "El grafo alinea 30 conceptos con sus entidades equivalentes en Wikidata mediante `skos:exactMatch`. Listamos\n", "los alineamientos reales extraídos del grafo." ] }, { "cell_type": "code", "execution_count": 31, "id": "eb80b5ea", "metadata": { "execution": { "iopub.execute_input": "2026-06-23T17:17:51.159634Z", "iopub.status.busy": "2026-06-23T17:17:51.159634Z", "iopub.status.idle": "2026-06-23T17:17:51.163680Z", "shell.execute_reply": "2026-06-23T17:17:51.163680Z" }, "colab": { "base_uri": "https://localhost:8080/" }, "id": "eb80b5ea", "outputId": "7b7b4543-cbdb-4c82-c52b-5e18c9a79d6a" }, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "Alineamientos skos:exactMatch a Wikidata: 30\n", "----------------------------------------------------------------------\n", " Búsqueda binaria Q243754\n", " Búsqueda lineal Q787903\n", " Clase Q4479242\n", " Clausura (closure) Q535335\n", " Complejidad temporal Q2393193\n", " Comprensión de listas Q795065\n", " Conjunto (set) Q1514741\n", " Decorador Q110938941\n", " Diccionario Q80585\n", " Excepción Q471748\n", " Expresiones regulares (re) Q185612\n", " Función lambda Q567612\n", " GIL Q5570451\n", " Generador (yield) Q2565187\n", " Grafo (estructura) Q2479726\n", " Herencia Q212542\n", " Iterador (iter, next) Q1326388\n", " Lista Q27948\n", " Notación O grande Q269878\n", " Ordenación de burbuja Q60864\n", " Ordenación por mezcla Q189057\n", " Ordenación rápida Q486598\n", " Polimorfismo Q3240252\n", " Python Q28865\n", " Recorrido en anchura (BFS) Q325904\n", " Recorrido en profundidad (DFS) Q816319\n", " Recursión Q264164\n", " Tabla hash Q207440\n", " Tupla Q2879072\n", " Árbol Q223655\n" ] } ], "source": [ "enlaces = []\n", "for s, _, o in g.triples((None, SKOS.exactMatch, None)):\n", " enlaces.append((etiqueta(s), str(o).split(\"/\")[-1], str(o)))\n", "\n", "print(f\"Alineamientos skos:exactMatch a Wikidata: {len(enlaces)}\")\n", "print(\"-\" * 70)\n", "for lbl, qid, _ in sorted(enlaces, key=lambda x: x[0]):\n", " print(f\" {lbl:<32} {qid}\")" ] }, { "cell_type": "markdown", "id": "78e4c689", "metadata": { "id": "78e4c689" }, "source": [ "### La elección de `skos:exactMatch` frente a `owl:sameAs`\n", "\n", "La decisión es deliberada y semánticamente prudente. `owl:sameAs` afirma identidad de individuos: bajo el perfil\n", "OWL 2 RL, el razonador fusionaría el concepto propio (`pyr:lista`) con la entidad de Wikidata (`wd:Q27948`),\n", "los identificaría como el mismo individuo y propagaría tipos y propiedades en ambos sentidos. La entidad de Wikidata\n", "pasaría entonces a ser `pyedu:Concepto` y arrastraría hacia nuestro grafo todo lo que Wikidata afirma de ella,\n", "contaminando el modelo. `skos:exactMatch`, en cambio, establece una equivalencia conceptual fuerte entre dos\n", "*conceptos* de esquemas distintos sin fusionar los individuos; es la relación de mapeo que SKOS prevé para alinear\n", "vocabularios.\n", "\n", "Lo comprobamos empíricamente: en la sección 3, tras el cierre OWL 2 RL, el número de entidades de Wikidata inferidas\n", "como `pyedu:Concepto` es 0. El enlazado aporta valor (descripciones multilingües, federación con el\n", "*Wikidata Query Service* en la consulta 08) sin colapsar identidades, en línea con un uso maduro de los datos enlazados." ] }, { "cell_type": "markdown", "id": "953966b5", "metadata": { "id": "953966b5" }, "source": [ "## 7. Arquitectura GraphRAG (descripción del código real, O2)\n", "\n", "La tubería RAG vive en `Sistema-RAG-TFM/scripts/rag_ekg.py` y consta de cinco componentes. Se describe aquí sin\n", "ejecutarla, porque depende de modelos servidos localmente (Ollama). El código es real y verificable.\n", "\n", "### Enlazador de conceptos por AST\n", "\n", "El componente más fino es el que enlaza el código con el concepto del grafo. En lugar de buscar subcadenas (algo\n", "frágil: `try` dentro de `country`, `if ` dentro de `elif `), el método `_conceptos_ast` recorre el árbol de sintaxis\n", "abstracta de Python con `ast.walk` y mapea cada tipo de nodo a un identificador del EKG:\n", "\n", "| Nodo AST | Concepto (`pyr:`) | Nodo AST | Concepto (`pyr:`) |\n", "|---|---|---|---|\n", "| `ast.For` | `bucle_for` | `ast.ListComp` | `comprension_listas` |\n", "| `ast.While` | `bucle_while` | `ast.DictComp` | `comprension_dicts` |\n", "| `ast.If` / `ast.IfExp` | `condicional` | `ast.GeneratorExp` | `expresion_generadora` |\n", "| `ast.FunctionDef` | `funcion` (+`decorador` si tiene) | `ast.JoinedStr` | `fstring` |\n", "| `ast.AsyncFunctionDef` | `funcion` + `async_await` | `ast.Subscript` | `slicing` / `indexacion` |\n", "| `ast.Lambda` | `funcion_lambda` | `ast.Compare` con `is`/`is not` | `tipo_bool` |\n", "| `ast.ClassDef` | `clase` | llamada a función propia | `recursion` |\n", "| `ast.Try` / `ast.Raise` | `excepcion` | `range(...)` | `indexacion` |\n", "| `ast.With` | `context_manager` | `.append(...)` | `mutabilidad` |\n", "\n", "Solo si el código no parsea, por sintaxis rota, se recurre a un respaldo léxico por *token* (palabra completa, no\n", "subcadena). Cada nodo detectado se convierte en su IRI `pyr:` y se filtra contra el conjunto de IRIs realmente\n", "existentes en el EKG, de modo que el enlazador devuelve una lista ordenada y deduplicada de nodos semilla." ] }, { "cell_type": "markdown", "id": "22ea7d96", "metadata": { "id": "22ea7d96" }, "source": [ "### Recuperación de subgrafos (vectorial + simbólica)\n", "\n", "Los nodos semilla del AST se combinan con una búsqueda por similitud sobre un índice vectorial: cada concepto\n", "del grafo se documenta con su etiqueta, su `rdfs:comment` y su tema, y se vectoriza con `nomic-embed-text`\n", "(servido por Ollama; los vectores se cachean en `datos/embeddings_conceptos.json`). Así se gana robustez frente a\n", "la variabilidad superficial del código.\n", "\n", "Sobre los nodos semilla se ejecuta una expansión simbólica con SPARQL (`SUBGRAFO_QUERY` en el código), que\n", "recupera para cada concepto su dificultad, su tema, sus prerrequisitos (`requierePrerrequisito`), los conceptos\n", "con los que contrasta (`contrastaCon`) y los errores conceptuales asociados (`errorSobreConcepto`). Lo que se\n", "obtiene es un fragmento conexo del grafo con sus relaciones, y no una lista plana de pasajes; precisamente eso es\n", "lo que después permite visualizar el subgrafo y colocar los marcadores de procedencia.\n", "\n", "### Generación y explicabilidad\n", "\n", "El generador serializa el subgrafo (conceptos, definiciones, relaciones e identificadores de procedencia) y lo\n", "combina con un encuadre de tarea que fija el rol (retroalimentación formativa, no sumativa), las dimensiones a\n", "cubrir y el nivel del estudiante. El *prompt* se entrega a un LLM local (`llama3.1:8b` base, o el modelo afinado).\n", "La interfaz web (FastAPI + Cytoscape.js) muestra el feedback junto al subgrafo recuperado, con código de color y\n", "marcadores de procedencia que cierran el lazo de explicabilidad (O4).\n", "\n", "Las cuatro configuraciones experimentales comparten esta tubería y solo difieren en el componente generativo y en\n", "si la recuperación está activa: A (base, sin grafo), B (afinado QLoRA, sin grafo), C (base + GraphRAG) y\n", "D (afinado + GraphRAG)." ] }, { "cell_type": "markdown", "id": "a5e1dcc4", "metadata": { "id": "a5e1dcc4" }, "source": [ "## 8. *fine tuning* QLoRA (Sistema B): protocolo y curvas de pérdida reales\n", "\n", "El Sistema B internaliza el conocimiento en los pesos del modelo en lugar de inyectarlo en contexto. Se afina\n", "`Qwen2.5-Coder-7B-Instruct` con QLoRA: el modelo base se cuantiza a 4 bits en formato NF4 (NormalFloat-4) y solo se\n", "entrenan adaptadores LoRA de bajo rango (`r = 16`, `alpha = 32`), aplicados a las proyecciones de atención y de\n", "las redes de avance. Todo el afinado se ejecuta en una única NVIDIA RTX 5090, sin infraestructura externa.\n", "\n", "El dataset es sintético, generado por plantillas deterministas ancladas al grafo (2625 registros, 35 esqueletos):\n", "cada ejemplo instancia un concepto y un error típico del EKG, sin recurrir a ningún LLM generativo para fabricarlo,\n", "lo que favorece el control, la trazabilidad y la reproducibilidad. Dos decisiones resultan clave para la honestidad\n", "de la evaluación: el enmascarado del prompt, de modo que la pérdida solo computa los tokens de la respuesta, y la\n", "partición *held-out* por esqueleto, en la que las plantillas estructurales de validación no aparecen en\n", "entrenamiento, lo que mide transferencia y no memorización.\n", "\n", "### Curvas de pérdida (cifras reales)\n", "\n", "| *Run* | Regularización | Pérdida *held-out* por época | Tendencia |\n", "|---|---|---|---|\n", "| v2 | ninguna | 1,297 → 1,380 → 1,410 | sobreajuste (crece) |\n", "| v3 | NEFTune (α=5) + dropout LoRA 0,1 | 1,051 → 1,028 | generaliza (decrece) |\n", "\n", "El *run* v2 mostró el patrón inequívoco del sobreajuste con datos escasos: la pérdida de validación crece época\n", "a época, y que la separación por esqueleto permitiera detectarlo confirma que medía generalización. El *run* v3,\n", "con NEFTune (ruido en los *embeddings* de entrada) y *dropout* en los adaptadores, invirtió esa dinámica.\n", "La precisión de token *held-out* final fue 0,842." ] }, { "cell_type": "code", "execution_count": 32, "id": "90fcec36", "metadata": { "execution": { "iopub.execute_input": "2026-06-23T17:17:51.163680Z", "iopub.status.busy": "2026-06-23T17:17:51.163680Z", "iopub.status.idle": "2026-06-23T17:17:51.490250Z", "shell.execute_reply": "2026-06-23T17:17:51.490250Z" }, "colab": { "base_uri": "https://localhost:8080/", "height": 443 }, "id": "90fcec36", "outputId": "73174a2c-3dd2-412d-82f6-6659474bbb49" }, "outputs": [ { "output_type": "display_data", "data": { "text/plain": [ "
" ], "image/png": "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\n" }, "metadata": {} }, { "output_type": "stream", "name": "stdout", "text": [ "Precisión de token held-out (v3): 0.842\n" ] } ], "source": [ "%matplotlib inline\n", "import matplotlib.pyplot as plt\n", "\n", "epocas = [1, 2, 3]\n", "loss_v2 = [1.297, 1.380, 1.410]\n", "loss_v3 = [1.051, 1.028]\n", "\n", "fig, ax = plt.subplots(figsize=(7, 4.2))\n", "ax.plot(epocas, loss_v2, \"o-\", color=\"#c0392b\", label=\"v2 sin regularizar (sobreajuste)\")\n", "ax.plot([1, 2], loss_v3, \"s-\", color=\"#27ae60\", label=\"v3 NEFTune + dropout (generaliza)\")\n", "ax.set_xlabel(\"Época\")\n", "ax.set_ylabel(\"Pérdida held-out\")\n", "ax.set_title(\"QLoRA (Qwen2.5-Coder-7B-Instruct): pérdida held-out por época\")\n", "ax.set_xticks(epocas)\n", "ax.legend()\n", "ax.grid(True, alpha=0.3)\n", "for x, y in zip(epocas, loss_v2): ax.annotate(f\"{y:.3f}\", (x, y), textcoords=\"offset points\", xytext=(0, 8))\n", "for x, y in zip([1, 2], loss_v3): ax.annotate(f\"{y:.3f}\", (x, y), textcoords=\"offset points\", xytext=(0, -14))\n", "plt.tight_layout()\n", "plt.show()\n", "print(\"Precisión de token held-out (v3):\", 0.842)" ] }, { "cell_type": "markdown", "id": "2f005b3a", "metadata": { "id": "2f005b3a" }, "source": [ "Conviene leer esa cifra con cuidado. La precisión de token (0,842) mide coincidencia léxica sobre datos sintéticos\n", "y no equivale a la precisión diagnóstica del 85 % del anteproyecto, que esta cifra ni mide ni cumple. La contribución\n", "real del afinado se aprecia en la evaluación comparada de la sección 9: el Sistema B alcanza 0,70 en acierto de\n", "categoría del error frente a 0,26 del modelo base, y 3,80 frente a 2,04 en identificación del error. Su límite también\n", "es claro, porque no mejora la trazabilidad ni el acierto de concepto frente al sistema con grafo, y por eso se diseña\n", "el híbrido D." ] }, { "cell_type": "markdown", "id": "c7097fc0", "metadata": { "id": "c7097fc0" }, "source": [ "## 9. Evaluación comparada A/B/C/D, panel humano y validez del juez\n", "\n", "### Los cuatro sistemas\n", "\n", "- A: modelo base `llama3.1:8b` sin augmentación (línea de referencia).\n", "- B: modelo afinado QLoRA (`Qwen2.5-Coder-7B-Instruct`), sin grafo.\n", "- C: modelo base más recuperación GraphRAG sobre el EKG.\n", "- D: híbrido, modelo afinado más recuperación GraphRAG.\n", "\n", "### Distribución 1: banco sintético (n = 50, juez `qwen2.5:32b`)\n", "\n", "```{list-table}\n", "```\n", "\n", "| Métrica | A (base) | B (QLoRA) | C (GraphRAG) | D (híbrido) |\n", "|---|---|---|---|---|\n", "| Acierto de categoría (0–1) | 0,26 | 0,70 | 0,36 | 0,76 |\n", "| Acierto de concepto (0–1) | 0,18 | 0,50 | 0,48 | 0,54 |\n", "| Identificación del error (1–5) | 2,04 | 3,80 | 2,44 | 4,04 |\n", "| Trazabilidad (1–5) | 1,72 | 3,00 | 2,92 | 3,16 |\n", "\n", "En distribución, D > {B, C} > A en las cuatro métricas objetivas. La complementariedad es nítida: el afinado\n", "(B) destaca al clasificar y explicar técnicamente el error; el grafo (C), al acertar el concepto y en\n", "trazabilidad; el híbrido (D) sintetiza ambas fortalezas. El *grounding*, esto es, la fracción de conceptos citados que\n", "estaban en el subgrafo recuperado, sube de C = 0,35 a D = 0,65, con lo que el afinado casi duplica la fidelidad al grafo.\n", "\n", "> Aviso de rigor: de las cuatro métricas, solo dos son independientes (acierto de categoría y de concepto); la\n", "> identificación y la trazabilidad son recodificaciones afines de aquellas a la escala 1–5." ] }, { "cell_type": "code", "execution_count": 33, "id": "c1dafd2b", "metadata": { "execution": { "iopub.execute_input": "2026-06-23T17:17:51.491255Z", "iopub.status.busy": "2026-06-23T17:17:51.491255Z", "iopub.status.idle": "2026-06-23T17:17:51.494630Z", "shell.execute_reply": "2026-06-23T17:17:51.494630Z" }, "colab": { "base_uri": "https://localhost:8080/" }, "id": "c1dafd2b", "outputId": "f79abaf0-c597-4dbb-84f3-2bbfe34c4d5c" }, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "Evaluación A/B/C/D (banco sintético n=50, juez qwen2.5:32b)\n", "----------------------------------------------------------------\n", "Métrica A B C D\n", "Acierto de categoría (0-1) 0.26 0.70 0.36 0.76\n", "Acierto de concepto (0-1) 0.18 0.50 0.48 0.54\n", "Identificación error (1-5) 2.04 3.80 2.44 4.04\n", "Trazabilidad (1-5) 1.72 3.00 2.92 3.16\n", "\n", "Mejor sistema por métrica: {'D (híbrido)'}\n" ] } ], "source": [ "sistemas = [\"A (base)\", \"B (QLoRA)\", \"C (GraphRAG)\", \"D (híbrido)\"]\n", "metricas = {\n", " \"Acierto de categoría (0-1)\": [0.26, 0.70, 0.36, 0.76],\n", " \"Acierto de concepto (0-1)\": [0.18, 0.50, 0.48, 0.54],\n", " \"Identificación error (1-5)\": [2.04, 3.80, 2.44, 4.04],\n", " \"Trazabilidad (1-5)\": [1.72, 3.00, 2.92, 3.16],\n", "}\n", "print(\"Evaluación A/B/C/D (banco sintético n=50, juez qwen2.5:32b)\")\n", "print(\"-\" * 64)\n", "print(f\"{'Métrica':<28}\" + \"\".join(f\"{s.split()[0]:>9}\" for s in sistemas))\n", "for m, v in metricas.items():\n", " print(f\"{m:<28}\" + \"\".join(f\"{x:>9.2f}\" for x in v))\n", "mejor = [sistemas[max(range(4), key=lambda i: metricas[m][i])] for m in metricas]\n", "print()\n", "print(\"Mejor sistema por métrica:\", set(mejor))" ] }, { "cell_type": "markdown", "id": "6ffdd6f9", "metadata": { "id": "6ffdd6f9" }, "source": [ "### Distribución 2: código real de estudiantes (Dublin DCU CS1, n = 60)\n", "\n", "La prueba más exigente es la generalización a código real escrito fuera de toda plantilla (el subconjunto público\n", "*Dublin repair* de un curso introductorio). Como no hay etiquetas de categoría ni de concepto, la métrica objetiva es la\n", "relevancia al arreglo: qué fracción de los componentes que la corrección del profesorado modifica aparece\n", "mencionada en la retroalimentación.\n", "\n", "| Sistema | Relevancia al arreglo (código real) |\n", "|---|---|\n", "| A (base) | 0,80 |\n", "| C (GraphRAG) | 0,73 |\n", "| B (QLoRA) | 0,43 |\n", "| D (híbrido) | 0,32 |\n", "\n", "Aquí el orden se invierte: sobre código real gana el modelo base y caen el afinado y el híbrido. Es evidencia directa\n", "de un sobreajuste a la estructura superficial de las plantillas sintéticas, y muestra que la ventaja del híbrido era un\n", "fenómeno en distribución que no llega a trasladarse a errores auténticos. Probablemente sea el resultado\n", "científicamente más valioso del trabajo: haber probado el sistema sobre datos reales y reportar el resultado adverso\n", "delimita con precisión hasta dónde llega la evidencia." ] }, { "cell_type": "markdown", "id": "717b954c", "metadata": { "id": "717b954c" }, "source": [ "### El panel humano (10 anotadores, 2000 valoraciones)\n", "\n", "Diez revisores —siete programadores en activo y tres docentes universitarios (R01–R10)— puntuaron a ciegas las\n", "retroalimentaciones de los cuatro sistemas sobre los 50 casos en tres dimensiones cualitativas (divulgativa, técnica,\n", "sugerencia), en escala Likert 1–5, hasta sumar 2000 valoraciones.\n", "\n", "Acuerdo inter-anotador (la paradoja κ frente a ICC):\n", "\n", "| Coeficiente | Qué mide | Global | Técnica |\n", "|---|---|---|---|\n", "| Fleiss κ | coincidencia exacta de celda | 0,096 | 0,143 |\n", "| Krippendorff α (ordinal) | cercanía de puntuaciones | 0,318 | 0,507 |\n", "| ICC(2,k) | fiabilidad del *promedio* de los 10 | 0,831 [0,80–0,86] | 0,910 |\n", "\n", "La aparente contradicción es coherente: cada anotador individual concuerda poco celda a celda, pues la escala es fina\n", "y cada cual aplica su propio rasero, de ahí un Fleiss de 0,096; en cambio, el promedio de los diez es un instrumento\n", "fiable (ICC 0,831), porque los sesgos idiosincrásicos se cancelan al agregar. El panel humano, además, discrimina los\n", "sistemas con nitidez (Friedman significativo, *p* < 0,001 en las tres dimensiones), con un perfil de especialización\n", "cruzado: los afinados (B, D) dominan en lo técnico (D = 4,20) y los de grafo (C, A) en lo divulgativo y en la\n", "sugerencia (C = 3,77 y 3,64)." ] }, { "cell_type": "markdown", "id": "7034e98c", "metadata": { "id": "7034e98c" }, "source": [ "### Validez de criterio del juez LLM\n", "\n", "Se contrasta el consenso de los diez humanos con el juez `qwen2.5:32b`, celda a celda, sobre los 33 casos comunes\n", "(396 celdas):\n", "\n", "| Comparación | Pearson | Spearman |\n", "|---|---|---|\n", "| Global humano ↔ juez | 0,203 | 0,189 |\n", "| Dimensión divulgativa | −0,203 (¡negativa!) | — |\n", "| Dimensión técnica | 0,363 (moderada) | — |\n", "| Dimensión sugerencia | 0,041 (nula) | — |\n", "\n", "El juez LLM no queda validado como instrumento de puntuación absoluta: una correlación global de 0,203,\n", "negativa en lo divulgativo, no autoriza a tomar sus puntuaciones por verdad pedagógica. El análisis de\n", "Bland-Altman lo confirma: el sesgo medio es casi nulo (+0,139), pero los límites de acuerdo van de −2,19 a +2,47,\n", "casi cinco puntos sobre una escala de cinco, lo que indica coincidencia de promedio y no de celda. Las validaciones\n", "convergentes con un segundo juez (`llama3.1:8b`, κ = 0,118) y con un panel multifamilia (Qwen/Llama/Gemma, Fleiss 0,21)\n", "apuntan en la misma dirección.\n", "\n", "De ahí la consecuencia metodológica: el veredicto del trabajo descansa en las métricas objetivas ancladas a la verdad\n", "de referencia (acierto de categoría y de concepto) y en el *grounding*, inmunes al juez. Las dimensiones cualitativas\n", "del juez LLM se leen como indicios, no como medidas." ] }, { "cell_type": "code", "execution_count": 34, "id": "72c050a0", "metadata": { "execution": { "iopub.execute_input": "2026-06-23T17:17:51.496634Z", "iopub.status.busy": "2026-06-23T17:17:51.496634Z", "iopub.status.idle": "2026-06-23T17:17:51.499617Z", "shell.execute_reply": "2026-06-23T17:17:51.499617Z" }, "colab": { "base_uri": "https://localhost:8080/" }, "id": "72c050a0", "outputId": "5e7428bf-c452-479f-f9a3-b8d31184440c" }, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "Acuerdo humano y validez del juez por dimensión\n", "------------------------------------------------------------\n", "Dimensión Fleiss κ ICC(2,k) Pearson h-juez\n", "Divulgativa 0.071 - -0.203\n", "Técnica 0.143 0.910 0.363\n", "Sugerencia 0.032 - 0.041\n", "------------------------------------------------------------\n", "GLOBAL 0.096 0.831 0.203\n", "\n", "Fleiss global 0,096 (azar) vs ICC del promedio 0,831 (fiable)\n", "Pearson global humano-juez = 0,203 (juez NO validado)\n" ] } ], "source": [ "dims = [\"Divulgativa\", \"Técnica\", \"Sugerencia\"]\n", "icc = [0.071, 0.910, 0.032]\n", "fleiss = [0.071, 0.143, 0.032]\n", "pearson_juez = [-0.203, 0.363, 0.041]\n", "\n", "print(\"Acuerdo humano y validez del juez por dimensión\")\n", "print(\"-\" * 60)\n", "print(f\"{'Dimensión':<14}{'Fleiss κ':>10}{'ICC(2,k)':>12}{'Pearson h-juez':>16}\")\n", "icc_dim = [0.071, 0.910, 0.032]\n", "fleiss_dim = [0.071, 0.143, 0.032]\n", "icc_real = {\"Divulgativa\": None, \"Técnica\": 0.910, \"Sugerencia\": None}\n", "for d, f, p in zip(dims, fleiss_dim, pearson_juez):\n", " icc_txt = f\"{0.910:>12.3f}\" if d == \"Técnica\" else f\"{'-':>12}\"\n", " print(f\"{d:<14}{f:>10.3f}{icc_txt}{p:>16.3f}\")\n", "print(\"-\" * 60)\n", "print(f\"{'GLOBAL':<14}{0.096:>10.3f}{0.831:>12.3f}{0.203:>16.3f}\")\n", "print()\n", "print(\"Fleiss global 0,096 (azar) vs ICC del promedio 0,831 (fiable)\")\n", "print(\"Pearson global humano-juez = 0,203 (juez NO validado)\")" ] }, { "cell_type": "markdown", "id": "4a66a122", "metadata": { "id": "4a66a122" }, "source": [ "## 10. Conclusiones y reproducibilidad\n", "\n", "### Conclusiones\n", "\n", "El grafo cumple con holgura lo que se había planteado para él. Reúne 157 conceptos, por encima del umbral de 150,\n", "articulados en 20 clases, 21 propiedades de objeto y 7 de datos; tras el cierre OWL 2 RL pasa de 1772 enunciados\n", "afirmados a 4786, valida SHACL como conforme y, ante el control negativo, dispara las 6 violaciones esperadas. A ello\n", "se suman 30 enlaces `skos:exactMatch` a Wikidata. El valor de la inferencia queda a la vista en el salto de 0 a 157\n", "conceptos y en que las entidades de Wikidata no se infieran como `Concepto`, dos hechos que confirman un razonamiento\n", "ontológico correcto y un uso prudente de los datos enlazados.\n", "\n", "En el plano de la arquitectura, el GraphRAG opera de extremo a extremo en local: enlace por AST, recuperación\n", "vectorial y por SPARQL, generación condicionada y explicabilidad apoyada en el subgrafo de procedencia. La evaluación,\n", "en cambio, obliga a matizar el hallazgo central. En distribución sintética el orden es D > {B, C} > A, pero sobre\n", "código real ese orden se invierte y gana el modelo base, lo que delata un sobreajuste a las plantillas: la augmentación\n", "mejora de forma significativa frente al modelo desnudo, aunque su valor depende de qué se recupera y de cuán real sea\n", "el código evaluado. Por último, el juez LLM no sustituye al evaluador humano. El panel humano resulta fiable en\n", "promedio (ICC 0,831) y discrimina los sistemas, mientras que el juez automático correlaciona apenas 0,203 con el\n", "consenso humano, e incluso de forma negativa en lo divulgativo; el peso del veredicto recae, por eso, en las métricas\n", "objetivas y en el *grounding*, inmunes al juez.\n", "\n", "Ningún umbral cuantitativo del anteproyecto debe darse por cumplido: lo reportado es evidencia prometedora en algunas\n", "dimensiones y limitada en su alcance, suficiente para justificar que la investigación continúe.\n", "\n", "### Cómo reproducir el proyecto\n", "\n", "```bash\n", "export PYTHONIOENCODING=utf-8 PYTHONUTF8=1\n", "pip install rdflib pyshacl owlrl nbformat jupyter matplotlib --break-system-packages -q\n", "\n", "# desde Entregable-Grafo-EKG/\n", "python scripts/inferir.py # cierre OWL-RL (1772 -> 4786)\n", "python scripts/validar.py # SHACL conforme; ejemplo inválido: 6 violaciones\n", "python scripts/consultar.py # consultas con inferencia (157 conceptos)\n", "python scripts/consultar.py --sin-inferencia # contraste (0 conceptos)\n", "\n", "# el notebook completo, ejecutado de principio a fin:\n", "jupyter nbconvert --to notebook --execute --inplace \\\n", " notebook/EKG-Python-proyecto-completo.ipynb\n", "```\n", "\n", "Las secciones 8 y 9 (QLoRA y evaluación con LLM) requieren GPU y modelos servidos por Ollama; sus cifras proceden de\n", "las memorias y salidas reales del proyecto y no se reejecutan aquí." ] } ], "metadata": { "kernelspec": { "display_name": "Python 3", "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": "3.12.10" }, "colab": { "provenance": [], "gpuType": "T4" }, "accelerator": "GPU" }, "nbformat": 4, "nbformat_minor": 5 }