From d257c41694344460623eb1f1bb2a690bdfe33f83 Mon Sep 17 00:00:00 2001 From: ivy Date: Wed, 13 Sep 2023 09:15:52 -0500 Subject: [PATCH] chore(release): Bumps version to v7.1.0 and updates dist files --- dist/learning-objectives.json | 325 +++++++++++++++++- dist/projects.json | 262 ++++++++------ dist/projects/burger-queen-api-client.json | 8 +- dist/projects/burger-queen-api.json | 6 +- dist/projects/card-validation.json | 6 +- dist/projects/chat-app.json | 6 +- dist/projects/cipher.json | 6 +- dist/projects/data-lovers.json | 6 +- dist/projects/design-and-usability.json | 10 +- dist/projects/design-detectives.json | 8 +- dist/projects/design-lab.json | 8 +- dist/projects/emergency-room.json | 6 +- dist/projects/fleet-management-api.json | 62 ++++ ...t.json => fleet-management-fullstack.json} | 12 +- dist/projects/how-might-we.json | 8 +- dist/projects/job-application.json | 6 +- dist/projects/md-links.json | 6 +- dist/projects/memory-match.json | 6 +- dist/projects/mindset-mvp.json | 8 +- dist/projects/movie-challenge-fw.json | 8 +- dist/projects/movie-challenge.json | 6 +- dist/projects/notes.json | 6 +- dist/projects/open-project.json | 6 +- dist/projects/roman-numerals-slack.json | 6 +- dist/projects/roman-numerals.json | 6 +- dist/projects/social-network-fw.json | 6 +- dist/projects/social-network.json | 6 +- dist/projects/text-analyzer.json | 6 +- dist/projects/trivia.json | 6 +- dist/projects/uxploradoras-ui.json | 8 +- dist/projects/uxploradoras-ux.json | 8 +- dist/projects/wordpress-plugin.json | 6 +- dist/topics.json | 84 ++--- dist/topics/browser.json | 6 +- dist/topics/content-management.json | 6 +- dist/topics/css.json | 6 +- dist/topics/functional.json | 28 +- dist/topics/html.json | 6 +- dist/topics/interaction-design.json | 6 +- dist/topics/intro-ux.json | 6 +- dist/topics/javascript.json | 106 +++--- dist/topics/learning-mindset.json | 6 +- dist/topics/paradigms.json | 52 +-- dist/topics/prototyping.json | 6 +- dist/topics/scm.json | 6 +- dist/topics/shell.json | 6 +- dist/topics/ux-research.json | 6 +- package.json | 2 +- 48 files changed, 804 insertions(+), 383 deletions(-) create mode 100644 dist/projects/fleet-management-api.json rename dist/projects/{fleet-management.json => fleet-management-fullstack.json} (99%) diff --git a/dist/learning-objectives.json b/dist/learning-objectives.json index c4a5dbfee..7b9dd73c7 100644 --- a/dist/learning-objectives.json +++ b/dist/learning-objectives.json @@ -304,7 +304,7 @@ { "members": [ "fields", - "constructor", + "constructors", "methods", "getter-setters" ] @@ -329,6 +329,11 @@ }, "decorators" ], + "ai-prompting": [ + "giving-instructions", + "few-shot-prompting", + "priming-chatbots" + ], "agile-planning": [ "scope", "workplan", @@ -654,7 +659,7 @@ "typescript/classes", "typescript/classes/members", "typescript/classes/members/fields", - "typescript/classes/members/constructor", + "typescript/classes/members/constructors", "typescript/classes/members/methods", "typescript/classes/members/getter-setters", "typescript/classes/class-heritage", @@ -668,6 +673,10 @@ "typescript/classes/this", "typescript/classes/abstract-classes", "typescript/decorators", + "ai-prompting", + "ai-prompting/giving-instructions", + "ai-prompting/few-shot-prompting", + "ai-prompting/priming-chatbots", "agile-planning", "agile-planning/scope", "agile-planning/workplan", @@ -2409,6 +2418,15 @@ } ] }, + "typescript/basic-types/null-and-undefined": { + "title": "null y undefined", + "links": [ + { + "title": "Documentación oficial de Typescript", + "url": "https://www.typescriptlang.org/docs/handbook/2/everyday-types.html#null-and-undefined" + } + ] + }, "typescript/basic-types/enums": { "title": "Enums", "links": [ @@ -2445,6 +2463,42 @@ } ] }, + "typescript/classes/members/fields": { + "title": "Campos", + "links": [ + { + "title": "Documentación oficial de Typescript", + "url": "https://www.typescriptlang.org/docs/handbook/2/classes.html#fields" + } + ] + }, + "typescript/classes/members/constructors": { + "title": "Constructors", + "links": [ + { + "title": "Documentación oficial de Typescript", + "url": "https://www.typescriptlang.org/docs/handbook/2/classes.html#constructors" + } + ] + }, + "typescript/classes/members/methods": { + "title": "Métodos", + "links": [ + { + "title": "Documentación oficial de Typescript", + "url": "https://www.typescriptlang.org/docs/handbook/2/classes.html#methods" + } + ] + }, + "typescript/classes/members/getter-setters": { + "title": "Getters y Setters", + "links": [ + { + "title": "Documentación oficial de Typescript", + "url": "https://www.typescriptlang.org/docs/handbook/2/classes.html#getters--setters" + } + ] + }, "typescript/classes/class-heritage": { "title": "Herencia de clases", "links": [ @@ -2454,15 +2508,60 @@ } ] }, + "typescript/classes/class-heritage/implements": { + "title": "implements Clausas", + "links": [ + { + "title": "Documentación oficial de Typescript", + "url": "https://www.typescriptlang.org/docs/handbook/2/classes.html#implements-clauses" + } + ] + }, + "typescript/classes/class-heritage/extends": { + "title": "extends Clausas", + "links": [ + { + "title": "Documentación oficial de Typescript", + "url": "https://www.typescriptlang.org/docs/handbook/2/classes.html#extends-clauses" + } + ] + }, "typescript/classes/member-visibility": { "title": "Visibilidad de miembros de clase", "links": [ { - "title": null, + "title": "Documentación oficial de Typescript", "url": "https://www.typescriptlang.org/docs/handbook/2/classes.html#member-visibility" } ] }, + "typescript/classes/member-visibility/public": { + "title": "public", + "links": [ + { + "title": "Documentación oficial de Typescript", + "url": "https://www.typescriptlang.org/docs/handbook/2/classes.html#public" + } + ] + }, + "typescript/classes/member-visibility/protected": { + "title": "protected", + "links": [ + { + "title": "Documentación oficial de Typescript", + "url": "https://www.typescriptlang.org/docs/handbook/2/classes.html#protected" + } + ] + }, + "typescript/classes/member-visibility/private": { + "title": "private", + "links": [ + { + "title": "Documentación oficial de Typescript", + "url": "https://www.typescriptlang.org/docs/handbook/2/classes.html#private" + } + ] + }, "typescript/classes/static-members": { "title": "Miembros de clase estáticos", "links": [ @@ -2499,6 +2598,40 @@ } ] }, + "ai-prompting": { + "title": "AI Prompting", + "description": "El proceso de instruir a una IA para que realice una tarea" + }, + "ai-prompting/giving-instructions": { + "title": "Dando Instrucciones", + "description": "Técnica simple de dar instrucciones a la IA", + "links": [ + { + "title": "Dando Instrucciones | Learn Prompting: Your Guide to Communicating with AI", + "url": "https://learnprompting.org/es/docs/basics/instructions" + } + ] + }, + "ai-prompting/few-shot-prompting": { + "title": "Few shot prompting", + "description": "Técnica de mostrar al modelo algunos ejemplos (shots) de lo que quieres que haga", + "links": [ + { + "title": "Few shot prompting | Learn Prompting: Your Guide to Communicating with AI", + "url": "https://learnprompting.org/es/docs/basics/few_shot" + } + ] + }, + "ai-prompting/priming-chatbots": { + "title": "Priming Chatbots", + "description": "Uso de primer prompt para iniciar una conversación con estructura y estilo particular", + "links": [ + { + "title": "Priming Chatbots | Learn Prompting: Your Guide to Communicating with AI", + "url": "https://learnprompting.org/es/docs/basics/priming_prompt" + } + ] + }, "agile-planning/scope": { "title": "Definir alcance general", "description": "Definir un alcance preliminar del proyecto en conjunto con los stakeholders involucrados" @@ -4333,6 +4466,15 @@ } ] }, + "typescript/basic-types/null-and-undefined": { + "title": "null e undefined", + "links": [ + { + "title": "Documentação oficial do Typescript", + "url": "https://www.typescriptlang.org/docs/handbook/2/everyday-types.html#null-and-undefined" + } + ] + }, "typescript/basic-types/enums": { "title": "Enums", "links": [ @@ -4369,6 +4511,42 @@ } ] }, + "typescript/classes/members/fields": { + "title": "Campos", + "links": [ + { + "title": "Documentação oficial do Typescript", + "url": "https://www.typescriptlang.org/docs/handbook/2/classes.html#fields" + } + ] + }, + "typescript/classes/members/constructors": { + "title": "Constructors", + "links": [ + { + "title": "Documentação oficial do Typescript", + "url": "https://www.typescriptlang.org/docs/handbook/2/classes.htmll#constructors" + } + ] + }, + "typescript/classes/members/methods": { + "title": "Métodos", + "links": [ + { + "title": "Documentação oficial do Typescript", + "url": "https://www.typescriptlang.org/docs/handbook/2/classes.html#methods" + } + ] + }, + "typescript/classes/members/getter-setters": { + "title": "Getters e Setters", + "links": [ + { + "title": "Documentação oficial do Typescript", + "url": "https://www.typescriptlang.org/docs/handbook/2/classes.html#getters--setters" + } + ] + }, "typescript/classes/class-heritage": { "title": "Herança de classe", "links": [ @@ -4378,15 +4556,60 @@ } ] }, + "typescript/classes/class-heritage/implements": { + "title": "implements Cláusulas", + "links": [ + { + "title": "Documentação oficial do Typescript", + "url": "https://www.typescriptlang.org/docs/handbook/2/classes.html#implements-clauses" + } + ] + }, + "typescript/classes/class-heritage/extends": { + "title": "extends Cláusulas", + "links": [ + { + "title": "Documentação oficial do Typescript", + "url": "https://www.typescriptlang.org/docs/handbook/2/classes.html#extends-clauses" + } + ] + }, "typescript/classes/member-visibility": { "title": "Visibilidade dos membros da classe", "links": [ { - "title": null, + "title": "Documentação oficial do Typescript", "url": "https://www.typescriptlang.org/docs/handbook/2/classes.html#member-visibility" } ] }, + "typescript/classes/member-visibility/public": { + "title": "public", + "links": [ + { + "title": "Documentação oficial do Typescript", + "url": "https://www.typescriptlang.org/docs/handbook/2/classes.html#public" + } + ] + }, + "typescript/classes/member-visibility/protected": { + "title": "protected", + "links": [ + { + "title": "Documentação oficial do Typescript", + "url": "https://www.typescriptlang.org/docs/handbook/2/classes.html#protected" + } + ] + }, + "typescript/classes/member-visibility/private": { + "title": "private", + "links": [ + { + "title": "Documentação oficial do Typescript", + "url": "https://www.typescriptlang.org/docs/handbook/2/classes.html#private" + } + ] + }, "typescript/classes/static-members": { "title": "Membros estáticos da classe", "links": [ @@ -4422,6 +4645,40 @@ "url": "https://www.typescriptlang.org/docs/handbook/decorators.html" } ] + }, + "ai-prompting": { + "title": "AI Prompting", + "description": "O processo de instruir uma IA para realizar uma tarefa" + }, + "ai-prompting/giving-instructions": { + "title": "Dando Instruções", + "description": "Método simple de dar instruções à uma IA", + "links": [ + { + "title": "Dando Instruções | Learn Prompting: Your Guide to Communicating with AI", + "url": "https://learnprompting.org/pt/docs/basics/instructions" + } + ] + }, + "ai-prompting/few-shot-prompting": { + "title": "Few shot prompting", + "description": "Técnica de mostrar o modelo alguns exemplos (shots) do que você quer que faça", + "links": [ + { + "title": "Few shot prompting | Learn Prompting: Your Guide to Communicating with AI", + "url": "https://learnprompting.org/es/docs/basics/few_shot" + } + ] + }, + "ai-prompting/priming-chatbots": { + "title": "Priming Chatbots", + "description": "Use o primeiro prompt para iniciar uma conversa com estrutura e estilo específico", + "links": [ + { + "title": "Priming Chatbots | Learn Prompting: Your Guide to Communicating with AI", + "url": "https://learnprompting.org/pt/docs/basics/priming_prompt" + } + ] } } }, @@ -5527,7 +5784,9 @@ "pt": "Tipos literais" }, { - "key": "typescript/basic-types/null-and-undefined" + "key": "typescript/basic-types/null-and-undefined", + "es": "null y undefined", + "pt": "null e undefined" }, { "key": "typescript/basic-types/enums", @@ -5550,16 +5809,24 @@ "pt": "Membros da classe" }, { - "key": "typescript/classes/members/fields" + "key": "typescript/classes/members/fields", + "es": "Campos", + "pt": "Campos" }, { - "key": "typescript/classes/members/constructor" + "key": "typescript/classes/members/constructors", + "es": "Constructors", + "pt": "Constructors" }, { - "key": "typescript/classes/members/methods" + "key": "typescript/classes/members/methods", + "es": "Métodos", + "pt": "Métodos" }, { - "key": "typescript/classes/members/getter-setters" + "key": "typescript/classes/members/getter-setters", + "es": "Getters y Setters", + "pt": "Getters e Setters" }, { "key": "typescript/classes/class-heritage", @@ -5567,10 +5834,14 @@ "pt": "Herança de classe" }, { - "key": "typescript/classes/class-heritage/implements" + "key": "typescript/classes/class-heritage/implements", + "es": "implements Clausas", + "pt": "implements Cláusulas" }, { - "key": "typescript/classes/class-heritage/extends" + "key": "typescript/classes/class-heritage/extends", + "es": "extends Clausas", + "pt": "extends Cláusulas" }, { "key": "typescript/classes/member-visibility", @@ -5578,13 +5849,19 @@ "pt": "Visibilidade dos membros da classe" }, { - "key": "typescript/classes/member-visibility/public" + "key": "typescript/classes/member-visibility/public", + "es": "public", + "pt": "public" }, { - "key": "typescript/classes/member-visibility/protected" + "key": "typescript/classes/member-visibility/protected", + "es": "protected", + "pt": "protected" }, { - "key": "typescript/classes/member-visibility/private" + "key": "typescript/classes/member-visibility/private", + "es": "private", + "pt": "private" }, { "key": "typescript/classes/static-members", @@ -5606,6 +5883,26 @@ "es": "Decoradores", "pt": "Decoradores" }, + { + "key": "ai-prompting", + "es": "AI Prompting", + "pt": "AI Prompting" + }, + { + "key": "ai-prompting/giving-instructions", + "es": "Dando Instrucciones", + "pt": "Dando Instruções" + }, + { + "key": "ai-prompting/few-shot-prompting", + "es": "Few shot prompting", + "pt": "Few shot prompting" + }, + { + "key": "ai-prompting/priming-chatbots", + "es": "Priming Chatbots", + "pt": "Priming Chatbots" + }, { "key": "agile-planning" }, diff --git a/dist/projects.json b/dist/projects.json index 0b50e7443..88a8efd26 100644 --- a/dist/projects.json +++ b/dist/projects.json @@ -3,9 +3,9 @@ "slug": "how-might-we", "repo": "Laboratoria/curriculum", "path": "projects/00-how-might-we", - "version": "7.0.0", - "parserVersion": "5.0.0", - "createdAt": "2023-09-04T20:11:49.825Z", + "version": "7.1.0", + "parserVersion": "5.0.0-beta.0", + "createdAt": "2023-09-13T14:12:50.677Z", "prefix": 0, "track": "ux", "learningObjectives": [ @@ -23,16 +23,16 @@ "summary": "

La reciente pandemia del COVID-19 ha impactado todas las áreas de la humanidad,\ncausando el retroceso en algunos de los Objetivos de Desarrollo Sostenible que nos\nplanteamos como sociedad. Hemos identificado 4 retos principales que impactan de\nforma negativa el progreso hacia el objetivo número 5 de la ONU, enfocado en lograr\nla igualdad de género y empoderar a todas las niñas y mujeres del mundo:

" } }, - "cover": null, + "cover": "https://raw.githubusercontent.com/Laboratoria/bootcamp/main/projects/00-how-might-we/thumb.png", "thumb": 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}, { "slug": "trivia", "repo": "Laboratoria/curriculum", "path": "projects/00-trivia", - "version": "7.0.0", - "parserVersion": "5.0.0", - "createdAt": "2023-09-04T20:11:49.889Z", + "version": "7.1.0", + "parserVersion": "5.0.0-beta.0", + "createdAt": "2023-09-13T14:12:50.684Z", "prefix": 0, "track": "web-dev", "learningObjectives": [ @@ -67,9 +67,9 @@ "slug": "card-validation", "repo": "Laboratoria/curriculum", "path": "projects/01-card-validation", - "version": "7.0.0", - "parserVersion": "5.0.0", - "createdAt": "2023-09-04T20:11:49.823Z", + "version": "7.1.0", + "parserVersion": "5.0.0-beta.0", + "createdAt": "2023-09-13T14:12:50.879Z", "prefix": 1, "track": "web-dev", "learningObjectives": [ @@ -114,9 +114,9 @@ "slug": "cipher", "repo": "Laboratoria/curriculum", "path": "projects/01-cipher", - "version": "7.0.0", - "parserVersion": "5.0.0", - "createdAt": "2023-09-04T20:11:49.916Z", + "version": "7.1.0", + "parserVersion": "5.0.0-beta.0", + "createdAt": "2023-09-13T14:12:53.686Z", "prefix": 1, "track": "web-dev", "learningObjectives": [ @@ -161,9 +161,9 @@ "slug": "design-and-usability", "repo": "Laboratoria/curriculum", "path": "projects/01-design-and-usability", - "version": "7.0.0", - "parserVersion": "5.0.0", - "createdAt": "2023-09-04T20:11:49.708Z", + "version": "7.1.0", + "parserVersion": "5.0.0-beta.0", + "createdAt": "2023-09-13T14:12:53.466Z", "prefix": 1, "track": "ux", "learningObjectives": [ @@ -187,16 +187,16 @@ "summary": "

Rediseñar la experiencia de comprar la despensa/el mercado/el supermercado a\ntravés de un app o servicio web. Deberás identificar cuáles son los principales\nproblemas de los usuarios al interactuar con tu producto, el estado actual del\nmercado y de la competencia de tu producto, así como también identificar las\noportunidades de mejora de tu producto en este nuevo contexto de pandemia. Para\nello puedes realizar muchas actividades, sin embargo el tiempo y los recursos\nque tienes son limitados. Junto a tu equipo debes elegir cuáles actividades\nrealizarás durante el proyecto, planificar cómo distribuyes el tiempo y esfuerzo\ndel equipo en estas actividades. Asegurándote de validar esta propuesta con\nusuarios y proponer un diseño visual acorde a las necesidades de usuarios y\nnegocio para el sitio web que elegiste.

" } }, - "cover": null, - "thumb": 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" }, { "slug": "design-detectives", "repo": "Laboratoria/curriculum", "path": "projects/01-design-detectives", - "version": "7.0.0", - "parserVersion": "5.0.0", - "createdAt": "2023-09-04T20:11:49.851Z", + "version": "7.1.0", + "parserVersion": "5.0.0-beta.0", + "createdAt": "2023-09-13T14:12:53.557Z", "prefix": 1, "track": "ux", "learningObjectives": [ @@ -227,16 +227,16 @@ "summary": "

Durante este reto profundizarás en temas de investigación de usuarios, identificación\nde problemas que puedan estar afectando la experiencia de quienes utilizan la plataforma\ny diseñarás un flujo de pantallas que resuelvan esa problemática.

" } }, - "cover": null, + "cover": "https://raw.githubusercontent.com/Laboratoria/bootcamp/main/projects/01-design-detectives/thumb.png", "thumb": 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r98Xn7dc5H77P2k9By7nU/vvfOyL4tLatDOY9r1ngS+fZktflW0DNRAAAyM1joFwJHdNaUXfA48cGVz5JHvNEPV7gDqY/HrXDKpOnD/lYNdZL2QNvR9/ovJ1JC0k60sGHU50cru9sOPnm5WaagBcAKKRyavTbuzZdVyTeX9f+iBHWddX5sXv9J68cu/nmPha3aB6EKLQSWfMVvJz/vGv+9sltWGTvneS7+n+VwLgs9tnQLgfNb66Fby3M//z2SR8/JmqNrFyhTureqemudoxnP77r2iWZUs8B+bLHrP23FgaFb97B7CmK0N1/N5qu1eP7QxcckgZ9EuIEOz3VC17zHcVrb7vWaeMvu9LrrTvIRF7oGZq+cZ2Fr1z9NnADyEeVXeszEX7/Q5j5lXPku6ZQBj5G4FMBKZQL5UuMViBtr5c4a2uyahzWNPbAxiIpDv5cDhP02/xhR+tOH5KhelL2S6C3VTuN/uDlV5250hfxZyfeX7ml04WhdtG7NF77+5Pz79zAe9LmLnz8xXFjlrPJ+V7ct7n9CxdLHNY5N7wxAD4HbRdwghUhae9x/84/S9yLXZRxCcnz9tGdtn+FDHGWMxtHHv9LM0+aql6GeoAcN012C6Bky+ImPgvObzhsGzrVLzew2lyI+tJYwfayC/lXzWavp5LqSdV+V+MoSfux2bt916xjJ/zvec516fO33n1Y5x2nnq5iNyzIOAoRIAA4xEBvH5Krm4mAnMsRf+vNJdI7Oy6PTIo++tvIL7XJ76ohVfXwusixhD8Hs+s4FwFr+e+/m104kW8xv7Z2EdZNFjnu4TQ3lPEww89eyHza+f/Z5q+DWWIoDSn8U2XBzKItuQgt/NMoZqg+Ds4Oq6s01aWx7+2XA6SNQgr2Na8g593JtOOLnexyaf1by+Q7xetzI7Bm7D4PPNN1yT0K+MwfOMHeL1Nr1/3PP24At3Mo66bzJWGWPRQO61+Wqf2V21fQfomvIUgBHpY0A5lEWntMO6+UdvDXYRrNUusKZF9+ZzlFYtVf9pyTnUiem88vpedeVFDfPLAkVNn4VavfraJ9v+b3NvvPmf3xrMe5rrM/fs7EJmPSWUzUJjabmfrVquubQYvf2e/xp8mJRrM2OUBF9deuPUZ9Xv9s3Zf33JuDfP6TGMe9MFJ/f7oY17z6UN1vM9jyX83Szfd+Yb1//TqelnZavXfh2uSRiChJa5n+ReOPTrLc+U2ydB8NDG5+3YJOOoWnaMu/cCQyUABhiRVH+X3vWy6oWDVFFmQjW2oCqvWyZXQ1hYahe67v7pOyYia66dXI9hgYJmejbfBf+byT0y72nCp6EtmOQzlgXqLE6znu7qoT3zqp+zbXHV0IO6zbI7O+HRWEK7dTHWce/0WTQZ97btioeqLYCr5WiJtiX3OrXYnaXFKqvUzrETWg65VfFmbcH6UMbneW6MuSDnXNyfgKFydwIYmZyxV1raQK9CFmkyGRjThGpWG7atcnLVfg/reIYqZ2ur02ubXNfsQve+tjPC0N/TLE4PYZcm/WuPqygpn/8Tpz5t+lZDcdV0jDAJ7cY6zqpN7pMZs4153JvrYYhFP7lG870pgKvLVTssYbIa0043//zWqOfYGZ9nHrHKe2KeF4rUAfpl9AQwMrfdemlT2vMv9FvN37ZSzCJNDTK5WsViWBv+1rywu3vnxQ0Xls9fqtNNrsflXNdu214595axyP1c8cF62nvHZU1px3oep9Sw8Ntah7HC0M2Oe2t4Tq9q3Hsu013Vk+t16LuTgXFI++Rp2/sKdt63XSdW0Q0kz4kxzWUAaiEABhiZ7KzZVfhMsj4X7duFyLG1UryQvhfD2tdxXVvC8Tcm1+O2OZRpF53GGNakwl+72fWz7ydXNKX1Gey0bddrer4mdBQCr0b72hv3lpFnpvEw0JXc19I+uaai2mn3hvv73YW7DvPT3TvLrtEBLEoADDBCd99ZdndNJgN9hMC170LJJCcLUX3IJM5iF8Lf8Xv19U++/OuxLzq1u9xYLzkD7aYbvtGU1Ne4ocbwt9UGkYo0+tPuJDfuLaPGoAZYnZrnVXkOpVCzDznuwPwUYHUEwAAjdNedlzelvfraJ01J67Jj9cChPxVf6MuZhOuwiyehAucm/K1DruU2OK3h/UwxkVbQ66f0OcC5Rko/99rwt+YwaRoC31P3z7iMLnfzGPeWtW5joN3Xfb0BylmHe0rG51lHKCnPvlqO+QIYKyupACNUemdNHP99ucWbL3edrMGO1fysJVsspYVgDWcSbsdVOwxbzuWlVz4W/lYiizG1tQcd0tmQ9GPPrWUD4Hh5ct8rpQ3r1iEYzc/qGi2rHQsa95ahAG597Np5cUN5Kbo98MCVzUMP7GjGLMVo++79VjOvdbqnZB2hZKFmxlLrwv0JGCorqQAjlEnZmM8Bvu/AH9aqXXHJxVWLthd24w8v6aVoYlXy+brv4B8bunXjDZc0u6/r/yyn7JyqbUe/XcDr57ZbLm1KK1Wotk7hb6v0AvC6y7h3nc5b7rOoQPjLVlY1hlvEUM4NTVh66F+ubn79q+817/3HrubII99ZaP6UEGzVXZvys+TnyNf+e6+Y6/99/sWP1u6ekq5DJcY8uT87ogpg9ZxQDjBSt9/6zaI7xLJ4k4lA1xO4TAQysVo3WVzdN5mAdhlE5v3vc1KVhZTs6sqvmytcT2981mxMPi/5ftrPTteLnYt+Fvfecdn0K99XFriPvfDn6a+1LO4/8uhqJtd5P7JolV/b96Z9TfNaD23Cn+8xC0L5nm+79cLhVHY+5Cuf4+ywPja5bwlIFpfrrnRbYIajLVQ7WfA+UCpQW5edmptlAfh3//p9xy10bJ3HvTmypuR9P/cA4S9bacdwYxj7H3r46ulO23ye2++zj4KR3OszL71rMkfa/5MrOrv377/3W9OvvPYp1Eq3jra4seTrn+//oQd3NPvv+dbCofq0qPbAH5p10xbtJPTv8vfss5vR7Dwv48+rdpzdJv/kqU+nn792jtquVwCsAwEwwEjd9IPyOxozMO4ysFxVRW1bAZ4JQTvwX8WAP2fspBK5K33srshEatGFgTYEPv7aJ83LX+wAXOZ1X3ZhIu///p1nFiUi308WJca8OzHBZF+T67z+ee0Snub+c6HFlfb9z2LW8y981Gugsjns3c73ey65B+brwGRRqdYigj7kc9rlwhLDd/PkuikZAOd67Fqeq6vYqbl7ulh5ppimHaP0fX/Jn/vY4xvTHWB0Y1XHMwxl3JvraU+H495Z+Znu/uk7zaq0RXDttTv7fUXpc8o3hxtsbauxf58h63a149a2YKINT0s+k5488t1m752XN6VMr4/JV4pwW/lZMh94+pcfdFoYk3F65tjLzhVX0f2jLaRt7yOnN/53JUVoKdpJIUJXO9JzjZX+Odq56aLFRu3nsV0PWKdOHcB6EQADjNTuvy9/C3/19U86C4AzkT34/73b9CETgIQ++TXf/1aTwXZh5ulnPpgs0P2ll4lWGzR2sRsii4olv+dM/p48cs1S3+vsYkbCsyzUDWkXTPu9HWrOfB7y3uQzOqadX320fm4r6rOTYp6Fldn3P8FfAsA+WoEdfviqYgHGVguJuYck4B5aGJxF6en9b9PC9Kp2Z7fXmF3A66N0W8szwdankz+nmzPXcm30Fda1xVVZfD/X69ReMwkr+ir0mS4AT+7327nX5/6S++28v3+Je+X03nzP/Oc8XkjayC6qz+MZprv4vlgAr3Xcu9kqup9s57rdbLYY8tXf/7Wz136r93hI12S+l9ngryvLtnXeHLJOx/6H3h3eGO6L8DRhYLozlPDq5HNZMgDeSltUmedalx6ac46ylXwO+rinzBbU5rN4ru+73TU9vWf3VKicz1pXxeqlC9UzVsn9bpn3vf085l517MU/N3t/+t/NMnZfpzAHGCYBMMBI3fiDxReltiuTjn1NN/pYqMkAPkHTdhaaNldaZ9G3jx21Xe2GePrZcovBmQQ9efSazttA5rUeahvE/Kz5ubP7aSwBcCaqpb/XtC0/+si3O/kstC3hSl9r8wQYy2rvIb9+5dTKFw+nn+E7L5uevZpfz/fzt4uefZ/NpQ30elkmPNuujFO6CoCz86e0tiBmO8V17XMpX2kRmnFU6SA497Ht7gJuF07n8eTk+y8SAE9CoaHtXDbuPaPELuBcB322Fs1n68CCAdPm1z12/+OpIt0RhnRN5vsYejeBtqjv8OQzOtSOLhnPHTz0tSLfX8aBh5rVSCFEl5YNsjMuzvyhpHkLatvrOXOnvFdpTV36mTLdtTt5LZYt4CtZqJ7X7rlfXNv5fCLzJ4BaOeAHYKRK76yJriabqXovvVCTCVXOrlt0MpAK0jf+fefSleUX0lW74a4nzq1MNDOpKhGeLbtr3bmEZzv6eNmFiizcPXXku52/7rnWsru8lDbAWBfTQOnwt5s3frtz+rpmoehC79l00XPy3+X/6XOBVmu19XL1joua0jY6GqeULoZoFyyzs2aRziptV44+2qiXXgRfB32cfbhu495We1ZlH/La5jVadpfZZjffUP4YH+rQntNbwqqOMmnb7nZlO+PeCyldAJb3MPfrRe8luRf97t++Py3MLe2xJ5afQ71ccMdyxlEliknzvuy6zh45oE5WUgFGrPQgtavF+rvvX66dzoVkUfToJABZVhZYM6kovRi2bNurrifOs577+bVNKctW1s62sl137Q7OUhIKzttGcB5ZrCkZZKxDgNGed5avA0vseM77XKroYzMB8Hrpo1NJF+cAl279nLFFFn67aIeanUMlC2iibT3N4kqHCXl+rtO4d1ZfrZ8zDpq+NgUKbvso4qUeJVppt1YxLst5q126a8nXJ8U6Je8pCW27uJdknJ7C3NIh8FMddAUoNYbIffmmggU0yxbndNWRBqBrVlIBRuzqwoFYF1XBpSdV7Y63rkx32Rwtu7i67MTq5JufNiVkgaHkopTK2u50fXbWrHwGSoa/rQQZpdoB1xxg5DrK4v8yO782y7WfELi0vC9DbbNI9/oo2ulifJFAqZRpwPZstyFSxjyld+73tcOyRqXHvbn/5/nZlXw2S9//n+qozXAfO6ujdBHcsu3xBcjrZd9PygV+JecT59LlcUC5FpZp/1y6o0DG1113U8rvVzIEzb26i2L1Evbf092az1YcUwPUSgAMMGKlK/ZPbyy/WFNyUpUFmi7D31YG/wce7G5xbbNMrJaZGB1/rcykqo9JzzKVtVpA/03Js5RL7y6bVTLEePqZD5raTFvATYLfLhf/Z3/vPtrLdrFjk3Ho45697DildKCU+2mJsCbhVMln9qpag9ag9Li3xP0/YULJwHPZcW+rZLFGq3T4G0IG5tGeI11CyfnEVrruYLTs65K5QqmCnZJF5SU7dsUy46K8x6XOFS9d/LLscVUAQ2UlFWDErhr4DuCSuyAy4Su5QHPo4auLLl4vE06Vqqq98Yfl23UuM1EXAJ9Rcndr3p8+FyZL/nnPv9DvolZJ7a7fUu0oWwkWbip8NuGJU2U6GDBMpbs+LDtOKRkoJUgqeT8tvQt4FTvDxq7kuLd0d46HljhKYDuWLcrq61zlPjqg5L00pmUepdpAlwrrzqXr+cuy7ZBL3lPS/aPUdV76eZC1hkU/F6XG+bt76CK2zHFV7unAkLlDAXBeywziS+6CKL1LMYP4ErssWsuEU2PelaOydnnHX/ukKWXfvWVba239Z5ZpbZfrpIawsT2jseT9aNZDD+xoStqwq5AOLRO2lQyU+milX7pgxznA8yvZeSJhQklDHvdG6d2/fR1/MfvnwXbdtUSb4wvps9inyz8r19Ayz8CSBTsp0Cp9jadgpZRpsfGCZzVvfFBmnN/HsSLLHFfVx/cHsCh3KIAR2z3g81QzaSg1qUrb5z4WTkpPrErt5F3UyR7CsmUqaznj5YKL8ntW8P7svbPMroZ4eeQBRnt+aOldubPyfpSsYu/iaAHG4/oBhxwlA85DPQVJpXaFRU1dFPqQMV2pz1Qt495lXp+XXin7PE+XjT53cN3kSBTmsGzYeT59FfvkHtBly+lln3+lCtXzXpU+qzZKtgaPRedQ72183pTQ17rJ7bdq0Q/UR9khAEU8/Wy5lkppz9yHdmJVamL88iQkX2QB6I1CZ2hmYrWvKSuvaSbsi+xivu1W4XGUmgD3cbbSVtpq65MFCkbGft5sFpD6fk+m1+gkBC61M9K5onRpmYKCoou/hTobbLbvJ1c0Bw7/qSmhLVTrswBlzB57YqMppZZx76uvfbJQYFFyp14kYC9ZTLGVm34gAGY+pa7NFPs8eaQp7uXfLLaj9FyW6ViTZ1upe8pD9+/obeye+1ap+3XC+hTGDEXbrrz0/S/F6ovMH3V1AIbMHQqA8zrx5meTAe3FzbxKVer3tQuiVXIh7Pjvh7UDOAtsmUyXfn2f+8W1DYsrFaCtsqPAzZOAoUgA/Oa4A+BVWWZhGvq06P2wZJeSQz22kS0e2L3+iQB4m4x7Lyy/7yK7jEu3qC199MFWbvzhJQ3MY1oI++jppmvt7vySu0mjy64SyxatlizYKdnZaLOSRWB9Ba7ble/lscc3pu21S8ozd/8KjkQCKEnpIMCI7VogmO3DsRf/XGxhdV9Pu2paJXedLrrAdnWhM2Yysbrv4B8ahq3UDvBVLvKXOjdJu+HFWJimK0PdEXHsxXLtjfcWPKtxKyUX7Yd2VMVQlSwouKvnnaklx72LFD523TZ2s1w/qxj/KKxgXvms7ipUrJnd+aV1WSTz0JLnlddSsLPMmbXbMbQxwNEn3jcuAViAABiAzpU6N67k+UfnUnKBpq2snVfJStyE0gmBtWkdrpOFFplXGdSU2n3sc7yYIZ8vD10oNU5JO8a+d8sMsVBt3ZQ69uRMS/7+CwpKfYYXGfd23TZ2s30r2ulVOrihTncX2l1assgiui6S2XPL4s+9ku2f+y7YiZJn1vZRGDCPPD/uvv+d0R/xA9A3I04AOleqqnYVbUlLnk8apzc+m3uhrfTiclpBZ9H3uZ9fa4cCrCHnWFGzLBwWW/y9s//F39KFalxYqR1JfRc9tvIMKPUz5TM1z2e2VLFGa5kgaVlPHb1moWusVNcUhu+uOy+f7oLsWq73ku1+u+y6kfviMuPUl18pV1Sy59b+7ycl10cWGSvtvu7rTUm5Z17/T6eaww9fVbwdNEAtrO4A0KmiVbUrWFiNVNYmFC0hr9e8Zyz3Ec5kcnXzj96atrI69PDVAqGBsKMVYDkld7XedEP/7dOzYJ+vEs+H/J5DOgNwiDJeqi0ATkBb6mea91zpku0+lw2Suvjzm1sa2LZ2h37X9/v8frnWSt1zuizkWHbXfqndzrmvreJZufvvy93DFilQ2d3TEWWHHz3dPPXsh9MguO8jwgDGxkwOgE6VXKhZxcJqlJzMnVxgYnVjj69Dgu9U2aYtdKmd3WyfM23pi9aU1KpUS9mMFVbVNaNkiJVOJZzbq78v1yJzVeexlzwGYJ5xTBtKlbL3jtUUlsIy9hdqW37shT83JXRdHL7srv1S95RVPf9v/EG558Qi57ZnPNJXEJ6Aev/BP07XKp5+5oMGgK0JgAE4r3nb+JQ8q2tlC6slF8IWqOBexeuQIPj2e97+coKlLeRq2Ik9H7vWoG6L3BNrW/yNkuOUE28KgM+nZHHcqj5TJZ+d8wRBxwufP3nbratr/wyLuqvQueClumN02XI5RRvLzIXaVtclrOKoqhhiS/i+n12zQbCidYCvsioGMGInT33aDE2pYHCVC6s7dpQ7y2aRiuhVtZiK2QlWWkQ/9vhG8QU6+rHKUL9UIOOcPFitoRULldxRuMpxSsl73RDHmkNS8vO0qrFeyXHvPOHLqwV3/65yxz4so9S9oVQ42mXL5WWPgyrZUWBVHRuKFuwsOIZb1fEF+X5ni9YTBpc+Rx5gDKyKAXBeV825CFSqeni3dqRnKdX+ax6ZRB84/Kfm5jv+czrJOnjoXRW3PSg10S91dvd2lKrGd9+Aus17PyxZsOR+s56KFTCtsIPF1TsuaoZgkfaj2yX8Zaxyb9h7Z5n25V23gU4g19XaQH7u/Uue9ZozyEtZ5T1l18C6lQ2hu0IbBt99/zvN1f9wsrn7p+9Mu5iVmnMCDJlZKgDnNc8CVMmq2iwCpYpzFUruYFr0TNe0/zr6xPvNUOQ1yveTr7TmSuXvXXdcXmyBYp3tmFyTJSavNe4AvtECL1Rt3pCsZDvj7HIqGVidT8niK2fPn1uexaUWk1OUtapxb8n3fJ6xRslxiQCYMbvtlkun4VbXEtbuWzJk3fz7daWLOWXJtYoUQq/KRsFQ8/TGZ3OPtbIOkK9SGwPmled0xmjT3egH/zj93lJMn+vI8UrAOnCnAxix0hWM8w72M0EoZVrFear7ie6qLfoeDm1iNat9r7Iwkc9Qvs9M2hNaO5N1eTdPFi1PFtitW3JR5EJ/bql72VUF21gCFza0cUrJdsbT5/FvmurYLXNuJXeU1zrunccbBQNgO/YZs8yrDh7qviA07XKfPNJ0pssdxV0E0yXvKSUC+THL+zXEdYrI99V+bykG2n/Pt6brFMJgoFZWYQFGrPSi3LyD4FdXFCCtq0P/cnUzdG3Fbc4NTvul7GbRJno5pSanea9WMVFPO65SVnUGFXDGe4V3j8579u1x4xQ6VHJHOU2RYrfWLgv9jFipM6wzF+jyOdnV+b9td6llnVzhcTfrJjtsx1Bo0x5pleOsbv7RW9N56Sq7YgGUIAAGGLHSg9O5dwDbJdKrTIQPPHhlMyapjr79nrenk6ySwV/NbrzhkqaUrs/+2o7sNihB+AurV3qxdd7FReMUulRyR/m6K949QIcQRm7vHWWO2Xn5lY+bLhx7sbs5RRdjeqFe/548ek0zJgmDU7SedYoUrfvMALUQAANwTvPuNDyhqnZuy+7mPPTw1aNsY5cJVTvBEgTPp2SwmYC+z4Akf16p+4YAGOo37zP0DYt5c9MS8dwUFJRTeuF993UCYMZt30+6O6t3Vle7drss8HzogR3Nsk4o2FnIMsUyYyxWb2WOKggGaiEABhixN04Na2eNwXH/skv7uV9cO9qzdQXB88ti/K7ryrWBfuRn7zV9Kfln5SwnYHX6GBPs2nnxXP/9hsCODhn3zm+7BQWnN7TXhvPJ3K9EsWN2QXZR3NLVkT+5Z5Rod832LLvGcOTwd0ZdlCsIBmogAAYYsdKtFW802Squi927mRQfeeQ7zZjNBsGrOId2bO6+s0zbtzj6xPu9vAcHD71bbPevxSJYvT5228y7i8+OzfnNG7KvE5+n+Q2lYHG3zzUVKNEGuotzgF965ePOxvgH7u9mB6kz2+fX1f06xepj7Fg2qw2C+yyUBuiKABhgpPqoQJy35Y+FsPl1NbHaf++3miePjOucna3kc337j9+ehoM+T+dWendr6SrnTJ4TNJdy6OGrGmC1+lhsnSfE8UxZzFg7jDBM2/08bXzgeoULKTUfOPbCcuf3Hnuxu/bPOvqsTldHQOS+/+tffW/0IXAcfvT0NAi2GxgYE7M5gJHqY2fNvDvo3tuwWDOvq3Z09yhOCDzmdtCzEg7e/KO3TK7OIa20Su5wnQbx97xd5PVP+JvJc0l7brm0AVbrZOFxyrz3wNPGKAu56sqLGramqGB+2w0U3tv4vAHOL9dTifa6y3YC6ur83/xsXYWQG9rKz63LNYW8jwmBa+jQlPlxQuDHHt9oAMZAAAwwUq8u2ZrpQjI4t+ujvK5bK6YV2O/+9ftVVNiWDCFrsP+ebzUl5XVPCN/V2cxpB5fd3aXD3xRCdLVYBCzueOFxSg3PuTHQKvfcFD7OT0tx6NbQzgHO/KGr9s/77u1urqNgZ35drwVlfpZ1igMPdtPWe9UOHP6TltDAKFjZBxipE4XP/7Ww2o8SIft0cvVvdUyu2hBSCPxV+35yRfEijSyWtGczLxoEt8Hv7ff8V/GzhfPZP/Tw1Q2weqXHKSUWvTmbQkCAYbvt1jJdbxZtA71s++hZOvqsVqmC2iOHvzM9uqqWltBCYGDozOgARqr0zhoLq/0oNbHKom0mV2/8+87Rv5cJIe0E/qq8x4f+pZ+wM699guCr/+HkNMzNRDft3V565S/N8dc+mbakz1f+/qlnPpz++7t/+s6Z/76H4Lf10AM77P6FgSg9Trnxh5c0lFVDq0aGZSifKbsBqUXmebsKBGmLjt2ff3F47Z9ZTMkisHRsSsF6X3PZkhICawcNDJmnKcBIlQ5ULKyWl0lV6d017Xk7+bwklOsriOtaAsi7739n2jaKvznwwJXTSvu+3tcsmObPGuLnKJ/1vB7A6mXnf2kK1cqzA5gu9THu3a7TG5/5fFONu++8rDn6xPtNl1Lo+eSRuf6X6XytqzlCl+2fWcyNhQt2cg8+/PBV02ONHnn0vWkR8VilHXTWz4xNgSESAAOM0DourGbHQG07UXb12PYo7+eeL4LgtPId4wQru8kSYtdQKdyltNBKm+x13s0yLXR49nsNMAyvrmGXkr13XNZctaOuQOmuOy9vOLerJ+/3yTebImoc984TuO6+7usNsD25V3cdAGdeke4+85wD32WB6N6Onz8lCz7ye++dhPC1uemGfjYEZB6X+WyO8Tn68/ebY///n4sfI1LCfQf/MC1WV1wEDI0AGGCEhrqwWnIhLAurgr/lTYPgyVcmWKm0TcveMU2w0mJp371XaAk2Y3ru7eTaOHjo3WZdHXnkOz4TMCBdtYA8l0XGKaXD2exW2iswXSslF3nzGc+zjTJSVDhPsAVDlvtF7kddF4Mee+Gj5qEHd8zx33dz/m/aA3d9f92xo2xRSQJMlpO53NHD355+pVg9Retj6l6WHfBpBW3NChgaZSkAI1R6YTVh6yJKLoSNsQp0yNpK2zd+u7N57hfXFplol5LgmrOl9fGBB9ez/XEm2Yves4Duta3iS7rt1kubeZV+xm04U3TtFB33nlrvcW/pcNb1Sm32F2iZPO+aQ1drFHeNbFyfcY9zxbuVz3OOsXrj33dO57m7rxtHoW924vssAEMjAAYYmS7P1jmXRRZWo+QOvOOFdz2vs4RnCYPf+49d04lWJlxDnmSlItjE6quOHP7OdHf0Okn4m7OjgOF4+Tdlj6nIWGPRTiUlAzvjlPVTclf58d+v9+ep9I79dQ/YqU+Jlv15rm13znXsxW52/+YZX6KbRum28u4pZeTzkG4YKVpPGHzk8LcHfc5urpfsAgYYEgEwwMiUDn8zyB7imWMmVf3IhKrdGTzkMPjpX37Q8FVPHfnu2oTAwl8YpudfGF7759YOOzbpUMmCgtMb613oltdWZyHYvszfu75mEmZtt7ipq2d/qXDvqsItoF99/ZOGsrJOdeDBHV/uDM6axRDD4Kee/bABGBIBMMDI5CyUkpZppVoyKMwE9MSpTxv6MxsG/+5fvz9tvzSU4oDSbdDHLCFwzWcPZXErbcuFvzA8CUHTpaGkZYpcri/ZqWTNd2yuI+PeskoWbIzpXEnYjoyPS4RhL7+yva4eL73SzTVVqpC1ZKey0AWkX3k/Z9tEZ81iKEcCZSxs3QoYEgEwwIj00f75oQd2NIvaVfi8rpct1qxMgt+0X0oQ3LZfWmUYbJJ9fglHMxEey3lJ25XPXD6DzvyFYeqjS8kyC9wlF4AzRnM8wXrZUXhH2bqPe28uOM50vVKjEm2gt/Ncf2kSEnexq37ZZ/z5lO4qYG66Om0YnALhHGk1hDDYuhUwJAJggBF55NH3mpIy4VpmcbR0IGhiNQxt+6UEcfnKhKtv87QkW1dtVfQq3p+uZcEmu5rzeStdwQ8s7pGflR+nLKN0UcyxF7o5A5FxKD3uXfddqnbswXz23tl96JX70IWKJY511JmpdGi3QwBcvcwZ2zC43Rm8ioJonwdgSATAACPRT1vF5YKi0gs12v4OTxY/p22iJxOsvoNGZy1dWK7JvD/5Kln1XlICnwS/Wj7DsGWMUvpczUMPL9fevnSnEgt+66X0uHfdA+Abb7ikKUnBBrUp1Qb6QtdKV/eqZTqRbUfJrgIJybWWH5Z2Z3COs+o7CM7aHcBQCIABRqL07t8zA+Tlztwp3VrJeSrD1QaNfQbBpze07tuuLAaNrdVhvufsYM6XXb8wfKV3/+bZsuy9oFRryZZCtfWSMe+u68q2FV/ncW/pHdauV2pUYhft+Yqbcp/qovgp13vp8X7p33+75yXTvzYITkepPhz/vYJAYDgEwAAj0Mfu34fu76bitvRizbEXLNYMWRsE9zG5cnbb9h089G4zBllMP/DAlV8Gv6XDGqAbfez+3bdkkVrkGVW6UM0OoPVyc+Fx79OFx/9DljmF6xXms+8nyz8rNztfsURXO+kfmoz/SyvdVeCpZ9f3fj0W6SiVgvVVtIUGWBUBMMAI3HfwD01JWRDt6swg1fpEJlelQ2AB8PYkmBnydXPWWU2/3dkceeQ7gl8YkYQofZz929V9ofQ4xQ6g9eIc4LLKF5ZqA01dSrSBPl83gq7mGHtuubQprfT8QlHJOGTta9phqnAHD4ChUPICMHCPPb5RfCKRXTVdtUTac+s3m6NPvN+UktciX+scEKXN1iKttvIe9/m6JQTOQnipz68A+MIWCWbyGcniUXbzlTjPMpPtLOjeNvlzbvrhJcJeGLkcUVH87N8OC4py/yk5rsoY6KEHd4z23HXmc9utk9Di0dNNKes+7k0725LXa4rkcn9xvVKTEtdNunDl2Tarq8Az97c+jntpu4CUnEOmqGSd5zZ5bZ9fsGNbX8dIxbRr2dFrmtt//HYDUDsBMMCAJXw5cPhPTUnTs3/v6W6wfVsP1btPP/PBWk+sMrE8vMBiYxYD+n7dsqj2UqGJldZNF/bYExtzBzP5nLQLPJnE5z6UX1997ZPpr1nsya/Try3OYb5qx9e+PA88f533adfOi78828siK9QjBSalj6jIgmCXz6677ry8aKFa7o1P//KDryyUU6e2TXHJQCHX2Z5ffa9ZR9OAvaC8bym27etcSOhDnnNdryEk6N38XOsqZN7XY/CXrmclxy3rXlSSueGi3ev23HLJZK54cdOXjC13TeapJ9+0Wxeom5VTgIFKyHL3T99pSjv08FWdVty2baeKV+s/fHUvlcJDtOhOqxMrmNy0u0nt1u1f7iGLhBw3/vBv52PNtpFLMAzQSjHW4YI7H1t53nepj8Du6M/fn57DqOClHydWuHib97j0rvJ13gWc17b0Ar1d+93T/nS1MkfOtdNlJ5+t7nFdtVDvo/1zK8XqJQPgdS8qWWZsdfr9z5u+3X3nZUWKAtd1nQoYJiNcgAHKpDntaEovaE13/957RdO1PhaoSp+LXKNVLcbsKLSgZqHu/BZtaeV1BS4k4e/+g39sSsvu364X0drArqQ8b7MATD+26kbRpz4KpEqfsz1k9xXeHZjAYp1f3xJO2FG3cl3fl3KdbA6Buyh8yffZZ1iWHcClpThuXYsgTm981izq1dc/afpWqqOY+TQwJO5IAAOTSt0+wt/49bNl2sntKxAqb5YJ59AXV1965ePpIvlQtG17azG7U5WzpbJ90XtI6WAEGLc8e/sIf7Mg3PXu31YfgV12lAx9ATjPihJnvZ/L1TvKLD+cOZ7g02ZV0m61tLGMe0t8j328vrleS+7iXlQ+2wcPvTvI7+182uNCWJ0S7dNfnlzjrWMv/rmT9/iuO/vtMDTb3aikoRert4UvQ7pOV13M1SUBMDAk7kgAA5KwsK/wN63OSlXb5vftY2I11OrafE+Z9N1+z39NF8m7Xlxd5mdexeu1UWhiaWK1tbzHi+5kEf4C55MgoutzBc+l6yMqZqU9c2lZVL37/ncGGYIkqMt4M2OVPr/Hks/tPoPszYx7/zbuzf2h67AyY5O+ApshXa+5Tm/+57em4fTQvrftWOU1yd+O4enS7LX9/AsfNcvK97e/h8LxzfooAstrNdTOAvm+rv/HU9NnypC+x+O/7/+eUWrdzZwaGBIrpwAD0FZ3JyzsY3KfharDk4XVkvqYWOW1uv2etwezGNa+j9f/06mzzhbKPxuKvnfIZPGnxGe6jxaeY5VCkkUns6XaYAHjlnv5zT96q8g5aVtJ6+eSi8J97QDK6zakMUAb/Caoaxfy+2xXXTIAfnnFOyTXddyb8CD3htlxb4lAoY/zNPO63v3Td5pVm71O2/HcMsV951NqV37M7hZlNfZ33D49z412XvfSKx20f+55928rRWB9FBInYB1SN7Dcp9vgt30fu+5+cOLNxVtAr2IHcKlCldt6GGMCbJcAGGCF2oWTDMT7WlSNtH4uPenpa2I1PS95xYth+bOnwe853schte072fPr9NgTZX5u4e/W8lnMpH5RfZ7BBQxfW9iUgKev3VwlWz/P6iNQiiy4rroV5FbB76w8N/p4f68qGDbNBpCrsK7j3tkgoVVi3JuCjT6K1PK9r+p6nd1JvdV1WqJNdcnXdGxtq2tUon16nif56mLn5L4V7P6NMzuPy54t3kqB/ypD4Nyfcz/O/Tr3l63et6EUqvW9Azj33FL3qZtucFQVMBwCYIAVmA1+t1o4KSkLnn2EPH1OrFa1GNYuqGbHbxZlzvc+dtm2b5nPSx/txb/8syY/b6kF2X09fbbG5pFHl9sdYgcwEHm+na+wqaQUqfUxTkmgtKenHRp5FmZnYZ/jlHbR93zB76w+FoBLPmPan3dVMu498MCVTR/Wbdzb6rNoI0Uvfb2+eV0TzGzuILSVrltBlyzKyD1HCLxaJdpAp9vCsReXb//cV+v8c+njbPFWQuC+Wy3PrjelNf/51gBSADaEYvW+dwCXKvZJobqiamBIBMAAPUjb3Uzo2100V//Dyd6D38i5v6VbP5/15z2wo+lLFmmycFJ6cjU7mdrOgurs/9fV4up7S0yO+lrMmi5OThYJS9lzy6UNZ+sicL/xh6qVYR0df+2TL3eqZoyS59uFAp4SjjzynV4XzfrcffT8ZME8oV3pnUCz4f0857H20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}, { "slug": "text-analyzer", "repo": "Laboratoria/curriculum", "path": "projects/01-text-analyzer", - "version": "7.0.0", - "parserVersion": "5.0.0", - "createdAt": "2023-09-04T20:11:49.989Z", + "version": "7.1.0", + "parserVersion": "5.0.0-beta.0", + "createdAt": "2023-09-13T14:12:56.390Z", "prefix": 1, "track": "web-dev", "learningObjectives": [ @@ -281,9 +281,9 @@ "slug": "data-lovers", "repo": "Laboratoria/curriculum", "path": "projects/02-data-lovers", - "version": "7.0.0", - "parserVersion": "5.0.0", - "createdAt": "2023-09-04T20:11:51.061Z", + "version": "7.1.0", + "parserVersion": "5.0.0-beta.0", + "createdAt": "2023-09-13T14:12:56.354Z", "prefix": 2, "track": "web-dev", "learningObjectives": [ @@ -334,9 +334,9 @@ "slug": "emergency-room", "repo": "Laboratoria/curriculum", "path": "projects/02-emergency-room", - "version": "7.0.0", - "parserVersion": "5.0.0", - "createdAt": "2023-09-04T20:11:50.894Z", + "version": "7.1.0", + "parserVersion": "5.0.0-beta.0", + "createdAt": "2023-09-13T14:12:56.112Z", "prefix": 2, "track": "web-dev", "learningObjectives": [ @@ -387,9 +387,9 @@ "slug": "memory-match", "repo": "Laboratoria/curriculum", "path": "projects/02-memory-match", - "version": "7.0.0", - "parserVersion": "5.0.0", - "createdAt": "2023-09-04T20:11:51.005Z", + "version": "7.1.0", + "parserVersion": "5.0.0-beta.0", + "createdAt": "2023-09-13T14:12:58.659Z", "prefix": 2, "track": "web-dev", "learningObjectives": [ @@ -440,9 +440,9 @@ "slug": "mindset-mvp", "repo": "Laboratoria/curriculum", "path": "projects/02-mindset-mvp", - "version": "7.0.0", - "parserVersion": "5.0.0", - "createdAt": "2023-09-04T20:11:50.994Z", + "version": "7.1.0", + "parserVersion": "5.0.0-beta.0", + "createdAt": "2023-09-13T14:12:58.410Z", "prefix": 2, "track": "ux", "learningObjectives": [ @@ -487,16 +487,16 @@ "summary": "

Trabajarás con tu squad haciendo consultoría UX a una startup. En este proyecto\nliderarán el 100% de los espacios con clientes (workshops, weeklys,\ncomunicación, entregables, etc). Este proyecto es abierto y podrá incluir\ntrabajo con otros perfiles como desarrolladoras, product managers, etc.\nAnteriores retos han incluido empresas como Kmimos, Guvery, Sinenvolturas,\nMagical Startups, Laboratoria, entre otras.

" } }, - "cover": null, + "cover": "https://raw.githubusercontent.com/Laboratoria/bootcamp/main/projects/02-mindset-mvp/thumb.png", "thumb": 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}, { "slug": "movie-challenge", "repo": "Laboratoria/curriculum", "path": "projects/02-movie-challenge", - "version": "7.0.0", - "parserVersion": "5.0.0", - "createdAt": "2023-09-04T20:11:50.915Z", + "version": "7.1.0", + "parserVersion": "5.0.0-beta.0", + "createdAt": "2023-09-13T14:12:58.659Z", "prefix": 2, "track": "web-dev", "learningObjectives": [ @@ -547,9 +547,9 @@ "slug": "uxploradoras-ui", "repo": "Laboratoria/curriculum", "path": "projects/02-uxploradoras-ui", - "version": "7.0.0", - "parserVersion": "5.0.0", - "createdAt": "2023-09-04T20:11:50.933Z", + "version": "7.1.0", + "parserVersion": "5.0.0-beta.0", + "createdAt": "2023-09-13T14:13:00.996Z", "prefix": 2, "track": "ux", "learningObjectives": [ @@ -563,16 +563,16 @@ "summary": "

Este es un proyecto flexible que puedes adecuar según el contexto de aprendizaje\nen el que te encuentres. En conjunto con el equipo de Laboratoria, vas a elegir\nUNA de las 3 opciones disponibles, para poner en práctica técnicas y\nherramientas específicas según una etapa de diseño específica.

" } }, - "cover": null, + "cover": "https://raw.githubusercontent.com/Laboratoria/bootcamp/main/projects/02-uxploradoras-ui/thumb.png", "thumb": 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}, { "slug": "design-lab", "repo": "Laboratoria/curriculum", "path": "projects/03-design-lab", - "version": "7.0.0", - "parserVersion": "5.0.0", - "createdAt": "2023-09-04T20:11:50.926Z", + "version": "7.1.0", + "parserVersion": "5.0.0-beta.0", + "createdAt": "2023-09-13T14:13:00.688Z", "prefix": 3, "track": "ux", "learningObjectives": [ @@ -622,16 +622,16 @@ "summary": "

Podrás elegir entre resolver un reto de uno de los sectores que más perfiles de\nUX contrata o de un sector innovador donde el rol de UX se está volviendo cada\nvez más importante.

" } }, - "cover": null, + "cover": "https://raw.githubusercontent.com/Laboratoria/bootcamp/main/projects/03-design-lab/thumb.png", "thumb": 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}, { "slug": "social-network", "repo": "Laboratoria/curriculum", "path": "projects/03-social-network", - "version": "7.0.0", - "parserVersion": "5.0.0", - "createdAt": "2023-09-04T20:11:52.033Z", + "version": "7.1.0", + "parserVersion": "5.0.0-beta.0", + "createdAt": "2023-09-13T14:13:00.984Z", "prefix": 3, "track": "web-dev", "learningObjectives": [ @@ -691,9 +691,9 @@ "slug": "uxploradoras-ux", "repo": "Laboratoria/curriculum", "path": "projects/03-uxploradoras-ux", - "version": "7.0.0", - "parserVersion": "5.0.0", - "createdAt": "2023-09-04T20:11:51.941Z", + "version": "7.1.0", + "parserVersion": "5.0.0-beta.0", + "createdAt": "2023-09-13T14:13:03.927Z", "prefix": 3, "track": "ux", "learningObjectives": [ @@ -707,16 +707,16 @@ "summary": "

Este es un proyecto flexible que puedes adecuar según el contexto de aprendizaje\nen el que te encuentres. En conjunto con el equipo de Laboratoria, vas a elegir\nUNA de las 3 opciones disponibles, para poner en práctica técnicas y\nherramientas específicas según una etapa de diseño específica.

" } }, - "cover": null, + "cover": "https://raw.githubusercontent.com/Laboratoria/bootcamp/main/projects/03-uxploradoras-ux/thumb.png", "thumb": 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}, { "slug": "burger-queen-api", "repo": "Laboratoria/curriculum", "path": "projects/04-burger-queen-api", - "version": "7.0.0", - "parserVersion": "5.0.0", - "createdAt": "2023-09-04T20:11:52.009Z", + "version": "7.1.0", + "parserVersion": "5.0.0-beta.0", + "createdAt": "2023-09-13T14:13:04.188Z", "prefix": 4, "track": "web-dev", "learningObjectives": [ @@ -785,9 +785,9 @@ "slug": "burger-queen-api-client", "repo": "Laboratoria/curriculum", "path": "projects/04-burger-queen-api-client", - "version": "7.0.0", - "parserVersion": "5.0.0", - "createdAt": "2023-09-04T20:11:52.010Z", + "version": "7.1.0", + "parserVersion": "5.0.0-beta.0", + "createdAt": "2023-09-13T14:13:04.163Z", "prefix": 4, "track": "web-dev", "learningObjectives": [ @@ -860,7 +860,7 @@ "typescript/basic-types/enums", "typescript/narrowing", "typescript/classes/members/fields", - "typescript/classes/members/constructor", + "typescript/classes/members/constructors", "typescript/classes/members/methods", "typescript/classes/members/getter-setters", "typescript/classes/class-heritage/implements", @@ -894,9 +894,9 @@ "slug": "md-links", "repo": "Laboratoria/curriculum", "path": "projects/04-md-links", - "version": "7.0.0", - "parserVersion": "5.0.0", - "createdAt": "2023-09-04T20:11:52.027Z", + "version": "7.1.0", + "parserVersion": "5.0.0-beta.0", + "createdAt": "2023-09-13T14:13:06.225Z", "prefix": 4, "track": "web-dev", "learningObjectives": [ @@ -947,9 +947,9 @@ "slug": "notes", "repo": "Laboratoria/curriculum", "path": "projects/04-notes", - "version": "7.0.0", - "parserVersion": "5.0.0", - "createdAt": "2023-09-04T20:11:51.890Z", + "version": "7.1.0", + "parserVersion": "5.0.0-beta.0", + "createdAt": "2023-09-13T14:13:05.937Z", "prefix": 4, "track": "web-dev", "learningObjectives": [ @@ -1021,9 +1021,9 @@ "slug": "chat-app", "repo": "Laboratoria/curriculum", "path": "projects/05-chat-app", - "version": "7.0.0", - "parserVersion": "5.0.0", - "createdAt": "2023-09-04T20:11:52.004Z", + "version": "7.1.0", + "parserVersion": "5.0.0-beta.0", + "createdAt": "2023-09-13T14:13:05.963Z", "prefix": 5, "track": "web-dev", "learningObjectives": [ @@ -1091,12 +1091,12 @@ "thumb": 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" }, { - "slug": "fleet-management", + "slug": "fleet-management-api", "repo": "Laboratoria/curriculum", - "path": "projects/05-fleet-management", - "version": "7.0.0", - "parserVersion": "5.0.0", - "createdAt": "2023-09-04T20:11:52.896Z", + "path": "projects/05-fleet-management-api", + "version": "7.1.0", + "parserVersion": "5.0.0-beta.0", + "createdAt": "2023-09-13T14:13:08.316Z", "prefix": 5, "track": "web-dev", "learningObjectives": [ @@ -1145,7 +1145,69 @@ ], "intl": { "es": { - "title": "Fleet Management Software", + "title": "Fleet Management Software API", + "summary": "

En este proyecto construirás la API REST de un\nFleet Management Software\npara consultar las ubicaciones de los vehículos de una empresa\nde taxis en Beijing, China.

" + } + }, + "cover": "https://user-images.githubusercontent.com/110297/136462570-852fcc55-e363-4262-a8f3-6bb65702e75a.jpg", + "thumb": 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" + }, + { + "slug": "fleet-management-fullstack", + "repo": "Laboratoria/curriculum", + "path": "projects/05-fleet-management-fullstack", + "version": "7.1.0", + "parserVersion": "5.0.0-beta.0", + "createdAt": "2023-09-13T14:13:08.269Z", + "prefix": 5, + "track": "web-dev", + "learningObjectives": [ + "node/npm-install", + "node/package.json", + "node/npm-scripts", + "node/process", + "node/filesystem", + "db/modeling", + "db/connection", + "db/indexes-constraints", + "sql/tables", + "sql/crud", + "sql/drop", + "postgres/psql", + "postgres/data-types", + "postgres/dump-restore", + "postgres/indexes", + "react/jsx", + "react/components", + "react/events", + "react/lists-and-keys", + "react/conditional-rendering", + "react/lifting-up-state", + "react/hooks", + "react/css-modules", + "react/routing", + "vue/instance", + "vue/data-and-methods", + "vue/components", + "vue/props", + "vue/directives", + "vue/iteration", + "vue/events", + "vue/computed-props-and-observers", + "vue/routing", + "vue/classes-and-styles", + "angular/components-and-templates", + "angular/structural-directives", + "angular/input-output", + "angular/services", + "angular/routing", + "angular/observables", + "angular/http-client", + "angular/styles" + ], + "intl": { + "es": { + "title": "Fleet Management Software Fullstack", "summary": "

En este proyecto construirás el frontend y backend de un\nFleet Management Software\npara visualizar en un mapa las ubicaciones de los vehículos de una empresa\nde taxis en Beijing, China.

" } }, @@ -1156,9 +1218,9 @@ "slug": "movie-challenge-fw", "repo": "Laboratoria/curriculum", "path": "projects/05-movie-challenge-fw", - "version": "7.0.0", - "parserVersion": "5.0.0", - "createdAt": "2023-09-04T20:11:52.881Z", + "version": "7.1.0", + "parserVersion": "5.0.0-beta.0", + "createdAt": "2023-09-13T14:13:08.514Z", "prefix": 5, "track": "web-dev", "learningObjectives": [ @@ -1231,7 +1293,7 @@ "typescript/basic-types/enums", "typescript/narrowing", "typescript/classes/members/fields", - "typescript/classes/members/constructor", + "typescript/classes/members/constructors", "typescript/classes/members/methods", "typescript/classes/members/getter-setters", "typescript/classes/class-heritage/implements", @@ -1265,9 +1327,9 @@ "slug": "open-project", "repo": "Laboratoria/curriculum", "path": "projects/05-open-project", - "version": "7.0.0", - "parserVersion": "5.0.0", - "createdAt": "2023-09-04T20:11:52.866Z", + "version": "7.1.0", + "parserVersion": "5.0.0-beta.0", + "createdAt": "2023-09-13T14:13:10.272Z", "prefix": 5, "track": "web-dev", "intl": { @@ -1283,9 +1345,9 @@ "slug": "roman-numerals", "repo": "Laboratoria/curriculum", "path": "projects/05-roman-numerals", - "version": "7.0.0", - "parserVersion": "5.0.0", - "createdAt": "2023-09-04T20:11:52.888Z", + "version": "7.1.0", + "parserVersion": "5.0.0-beta.0", + "createdAt": "2023-09-13T14:13:10.298Z", "prefix": 5, "track": "web-dev", "learningObjectives": [ @@ -1326,9 +1388,9 @@ "slug": "roman-numerals-slack", "repo": "Laboratoria/curriculum", "path": "projects/05-roman-numerals-slack", - "version": "7.0.0", - "parserVersion": "5.0.0", - "createdAt": "2023-09-04T20:11:52.865Z", + "version": "7.1.0", + "parserVersion": "5.0.0-beta.0", + "createdAt": "2023-09-13T14:13:10.274Z", "prefix": 5, "track": "web-dev", "learningObjectives": [ @@ -1370,9 +1432,9 @@ "slug": "social-network-fw", "repo": "Laboratoria/curriculum", "path": "projects/05-social-network-fw", - "version": "7.0.0", - "parserVersion": "5.0.0", - "createdAt": "2023-09-04T20:11:52.951Z", + "version": "7.1.0", + "parserVersion": "5.0.0-beta.0", + "createdAt": "2023-09-13T14:13:12.331Z", "prefix": 5, "track": "web-dev", "learningObjectives": [ @@ -1452,9 +1514,9 @@ "slug": "wordpress-plugin", "repo": "Laboratoria/curriculum", "path": "projects/05-wordpress-plugin", - "version": "7.0.0", - "parserVersion": "5.0.0", - "createdAt": "2023-09-04T20:11:52.972Z", + "version": "7.1.0", + "parserVersion": "5.0.0-beta.0", + "createdAt": "2023-09-13T14:13:12.696Z", "prefix": 5, "track": "web-dev", "learningObjectives": [ @@ -1496,9 +1558,9 @@ "slug": "job-application", "repo": "Laboratoria/curriculum", "path": "projects/06-job-application", - "version": "7.0.0", - "parserVersion": "5.0.0", - "createdAt": "2023-09-04T20:11:53.821Z", + "version": "7.1.0", + "parserVersion": "5.0.0-beta.0", + "createdAt": "2023-09-13T14:13:12.708Z", "prefix": 6, "track": "web-dev", "intl": { diff --git a/dist/projects/burger-queen-api-client.json b/dist/projects/burger-queen-api-client.json index d64ef91f2..f78a1a567 100644 --- a/dist/projects/burger-queen-api-client.json +++ b/dist/projects/burger-queen-api-client.json @@ -2,9 +2,9 @@ "slug": "burger-queen-api-client", "repo": "Laboratoria/curriculum", "path": "projects/04-burger-queen-api-client", - "version": "7.0.0", - "parserVersion": "5.0.0", - "createdAt": "2023-09-04T20:11:52.010Z", + "version": "7.1.0", + "parserVersion": "5.0.0-beta.0", + "createdAt": "2023-09-13T14:13:04.163Z", "prefix": 4, "track": "web-dev", "learningObjectives": [ @@ -77,7 +77,7 @@ "typescript/basic-types/enums", "typescript/narrowing", "typescript/classes/members/fields", - "typescript/classes/members/constructor", + "typescript/classes/members/constructors", "typescript/classes/members/methods", "typescript/classes/members/getter-setters", "typescript/classes/class-heritage/implements", diff --git a/dist/projects/burger-queen-api.json b/dist/projects/burger-queen-api.json index bbbb58f10..1b7246ce2 100644 --- a/dist/projects/burger-queen-api.json +++ b/dist/projects/burger-queen-api.json @@ -2,9 +2,9 @@ "slug": "burger-queen-api", "repo": "Laboratoria/curriculum", "path": "projects/04-burger-queen-api", - "version": "7.0.0", - "parserVersion": "5.0.0", - "createdAt": "2023-09-04T20:11:52.009Z", + "version": "7.1.0", + "parserVersion": "5.0.0-beta.0", + "createdAt": "2023-09-13T14:13:04.188Z", "prefix": 4, "track": "web-dev", "learningObjectives": [ diff --git a/dist/projects/card-validation.json b/dist/projects/card-validation.json index f0e095846..abea3a449 100644 --- a/dist/projects/card-validation.json +++ b/dist/projects/card-validation.json @@ -2,9 +2,9 @@ "slug": "card-validation", "repo": "Laboratoria/curriculum", "path": "projects/01-card-validation", - "version": "7.0.0", - "parserVersion": "5.0.0", - "createdAt": "2023-09-04T20:11:49.823Z", + "version": "7.1.0", + "parserVersion": "5.0.0-beta.0", + "createdAt": "2023-09-13T14:12:50.879Z", "prefix": 1, "track": "web-dev", "learningObjectives": [ diff --git a/dist/projects/chat-app.json b/dist/projects/chat-app.json index 3108df2f8..270deffe7 100644 --- a/dist/projects/chat-app.json +++ b/dist/projects/chat-app.json @@ -2,9 +2,9 @@ "slug": "chat-app", "repo": "Laboratoria/curriculum", "path": "projects/05-chat-app", - "version": "7.0.0", - "parserVersion": "5.0.0", - "createdAt": "2023-09-04T20:11:52.004Z", + "version": "7.1.0", + "parserVersion": "5.0.0-beta.0", + "createdAt": "2023-09-13T14:13:05.963Z", "prefix": 5, "track": "web-dev", "learningObjectives": [ diff --git a/dist/projects/cipher.json b/dist/projects/cipher.json index 608a8cf65..6b2869003 100644 --- a/dist/projects/cipher.json +++ b/dist/projects/cipher.json @@ -2,9 +2,9 @@ "slug": "cipher", "repo": "Laboratoria/curriculum", "path": "projects/01-cipher", - "version": "7.0.0", - "parserVersion": "5.0.0", - "createdAt": "2023-09-04T20:11:49.916Z", + "version": "7.1.0", + "parserVersion": "5.0.0-beta.0", + "createdAt": "2023-09-13T14:12:53.686Z", "prefix": 1, "track": "web-dev", "learningObjectives": [ diff --git a/dist/projects/data-lovers.json b/dist/projects/data-lovers.json index d3cd54eaf..c7b960c76 100644 --- a/dist/projects/data-lovers.json +++ b/dist/projects/data-lovers.json @@ -2,9 +2,9 @@ "slug": "data-lovers", "repo": "Laboratoria/curriculum", "path": "projects/02-data-lovers", - "version": "7.0.0", - "parserVersion": "5.0.0", - "createdAt": "2023-09-04T20:11:51.061Z", + "version": "7.1.0", + "parserVersion": "5.0.0-beta.0", + "createdAt": "2023-09-13T14:12:56.354Z", "prefix": 2, "track": "web-dev", "learningObjectives": [ diff --git a/dist/projects/design-and-usability.json b/dist/projects/design-and-usability.json index 37ab1500b..a281a21e1 100644 --- a/dist/projects/design-and-usability.json +++ b/dist/projects/design-and-usability.json @@ -2,9 +2,9 @@ "slug": "design-and-usability", "repo": "Laboratoria/curriculum", "path": "projects/01-design-and-usability", - "version": "7.0.0", - "parserVersion": "5.0.0", - "createdAt": "2023-09-04T20:11:49.708Z", + "version": "7.1.0", + "parserVersion": "5.0.0-beta.0", + "createdAt": "2023-09-13T14:12:53.466Z", "prefix": 1, "track": "ux", "learningObjectives": [ @@ -28,6 +28,6 @@ "summary": "

Rediseñar la experiencia de comprar la despensa/el mercado/el supermercado a\ntravés de un app o servicio web. Deberás identificar cuáles son los principales\nproblemas de los usuarios al interactuar con tu producto, el estado actual del\nmercado y de la competencia de tu producto, así como también identificar las\noportunidades de mejora de tu producto en este nuevo contexto de pandemia. Para\nello puedes realizar muchas actividades, sin embargo el tiempo y los recursos\nque tienes son limitados. Junto a tu equipo debes elegir cuáles actividades\nrealizarás durante el proyecto, planificar cómo distribuyes el tiempo y esfuerzo\ndel equipo en estas actividades. Asegurándote de validar esta propuesta con\nusuarios y proponer un diseño visual acorde a las necesidades de usuarios y\nnegocio para el sitio web que elegiste.

" } }, - "cover": null, - "thumb": 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Kh6dbtO7c2fvpHS9YSmSZV+Ze4n5bOfKzqao/L06XQYFr+TEuskgQMN5bDLE0c7Jo52BAJS7OkH3B59PR+3bmH6bY968lN99+7aOaZr55jWLUzhagCj+fOi0Z/QYszyuBH2cSPsLnfzh/9d9G+1kjNNB2cGouLpB03dnv2VM2YXnH7+4bkLymssrq3FwD5Wo4ZMVzV+DO0CAeWuqXFtWv7vAahVhmntZ+ld/9oq12ySp06O3bOh1SP3JoZooJyUaFi9IK0rbXaBsDIapYF9rdE+iuq0vN9mpBo7tY/0qu+h52s6V0POi9wptdvkSeNob1MDzgwEQ/ADJEmSsrID18/IG3lVtvYVgydKSzFeOV6lN0BainHyRPoH1I3JJM+YGr93Q8t5ryT3PNtiMEjzX0tOr2Vvld0m/3NGwt4NLWdOj6/2GkuMfN1lzl1rWp7bnXYaQJNw+w1xJrVFlffeEoUiTxePtLdrrTKbN26E/fTT2IcMIMwIfsD/fL3e3W141sat9aml9tJjSZ071Po5bbPKC15Pachq0qbMZJKvHO/8MTPj13Utz+ulMgqemmx8+sFmh39svfWrFovfTn33heTMD9NydrSe+2JyU67G0UQ4HYbExu/SkdLcaKllYxj0o1N785xHm4V4wcUj7XfcEIXgZzbJn7yW4rDXegm1b2N+45nmkTwkAE0EwQ+6M//V5KcfbDa0vy1GW8WU8MrND1ww6diKde66fmFivGHj0owplztPHmMe2Ne6eVnGgD66Wwp1ytG+KMtolHp0jRl/oX3K5c4Lh9jiY3mv07sBfazzX0u58crYemxtijHLY4fbP341Jefn1n3OCTWpO/Wq2Lefaz55ojMjtc6jAInxhhuvjF35cdrRn1onxnNFnQKmXxf3xbup7dtUf9+IjzX8677EhW+malmi3xh6d7dsXtbi5PWxJpN83WXOLZkZqcmMUgEIP1nJahftYwBqVuFS1m10r1jnfvmd0gj/aEuMvOqTtPPPrU9Uy8kLrP3ec/CI31eppKcY+/e2ntGRFTtAHfy+r/Lr9e67Zxeq9rmWJOm/Tze/bKyjHkls997KNRvct/6jQPWVPc+2zL4nYeRgm8Z6jE3QhZOzQ4+XTRrnmP9aSsSO50SBgLRpm+ennb7C4qDdJp/R0Ty4ny3EhFuN5n9RoVrcpeyPNiH2GNdo997KDVs8x3IDRoPUtpVpyHm2aC1M+PFnb+/RR0O/ZufqFl2a3h5pzgxEQlVP6JfDLo8ZZh8zzL7+B8/Pv6p09vt2cfrJ/zMQkAqLgwVFgV/+8G3Y4t2+y6flOVKSJK9PGX9DzqZlGScPFatKTTZecTF7wYH669Te3Km9uUNbs2pnv49fTan37da5g7lzB3NpWfCBJ1U6+334cnKIhdzQOaNROq+XVXWVeFRUXYTRPgoATQXBDyLodmaMltm5opLg+5+WP/VKsZYKLgVFwSun533/RbpqeQAAAABA59ilgCYkMd5w501xf3zb8upLNFXX3LLd+9QrdO8BAADAKY/ghyYn1mn44KXk2fckannx4y8WHznmb+xDAgAAABoVwQ9N1MN3J9x8Tazqy7w+5ZHniyNwPAAAAEDjYY8fmq45jyWt2+jZvbcy9Mve/aTsobsS6lFivjEoirTvYOX+Q/7DR/0lZUGXWzHIktNhcNjlhDhDm5amdq3NzRq5j1leQWDHb77s3EBJWbCkNGgwyHGxcpzT0LaVqUvnGD00TggGpX0HK3f+5juWGygpDdpsckqSsWW6qU8PizUi7deycwO7fvdl5wZKy4OlZcFAULLb5DinoXULU7vWpvZtzDL7RpuS6N62waB05Jj/z0P+vIJAeUWwrFwprwiaTHJ8nCE+1tC8maHbmTHJSdFsHnA0J7Brt+/PQ/6S0qCiKIkJxoxUY+9uFhpvhlEwKB047D901H/kqL+4NOj2KB6vYrPKToch1iEnJRrzCtS3vofrSHR1QernzAARoItnWSAqYszyC7OTVMsGBgLSmx+VPTaz+tLQq2/P+2hReZ1+Yr0rPv950P/FyorMNe7N27wlZcHQL46LNZzRwdzzbEuPrjE9z7Z07RzT8F5VFS5l2WrXp0srqiqPh3hlu9amscPtl13k6N/bqjHe7D1Q2bH/EY1Hsu6z9EH9ai7k4/YoizMrlqx0rfzGXVRSw1myWuQBfazTr4u7eKQ97NGroCi4ZGXF4kzXDz95Qz8oJMYb+va0jB1un3ChozEebU2t9wfq+6Cy9rP0wX89vbt2+7oOy6rfd6s82LYp10aK1m17LDewZbt3y3bv1p3evfv9Va1lQn9J1bDI1ROdF11gi9ivbO+Byjc/Kluy0lXb6FuHtuZrL3PecEVsizRN56JO7yRVLhnj+OyNSDSZaNnzUFZ2HW7LpERD/q42DfyhgYC0casnc617/Q+e7b/4yitULsJGosMLUidnBog8gh+atAuH2M7pErNtl0qviLc/Lpt9T2JUWv2uWOd+7r8lX6+vQ0P50rLgpm3eTdu8Vf+ZEGcY0t867Hzb6KH2dq3rfMsfyw089Z/it+aVudyaOmHsP+R/6e3Sl94u7X5WzL/uTxw91F7Xnxjaz7/6Tg5+R475n32t5P1Py4tLQ31+e7zK1+vdX693dz8r5vWnm4fu9K3db3sqH3ux+NMvK/zamoUUlQQz17gz17jveKjwsosc990a3+1MGkAJJfK37f5D/pXr3avWuzdu9dQpYFQ5csx/ZJl/4bKK1GTj3dPi754W16jx79c/Kv/xVOGSlS4l5B2z90DlP58teuKl4ntvjn/g9gS7rekOItRVVnbgvx+Uvv1x2dGc6MxW6faCjPqZAaKL4Iembvp1cVP/nh/6NcdyA9//6BnQJ6JtoA5l+ac/ULBstauB36e4NLg407U403XVBO9H/0nW/oW+SmX2c8UvvFHi8WrKM9Vs/8U35pqccSPsc19Mrkdz7dpU6+hYXBr857NFb3xY5vXV4SC3/+IbOOHYS48n/e1q9X2eIRQWB+96uOCjReXBeo0X+/3Kx5+Xf7KkfNrk2KcebKaHVbJooAjftt//6PlwYcXX6917D6gsWdcoJy9w378K539R/t6c5K6N0JDa7VFmPV005+0S7ZPSHq/y+Jzihcsrlr6XWo/Gqk1NYXHwX3OKX5lbWqe3xHDR8wUZ3TMD6ATPGWjqLhnjiDGrDyU2/EmuTtb/4Ol54dHw/lCbtQ4jpr/+UXnu6KNPvlxcv9R33JKVrnNGZP3yu8qcqnYnBr/Fma4zBx15+Z36fJD7KpWb78t/ZW5pvY/k6/XurkOPfPBZPVPfccGg9PoHZT1GZv20M2xnCVER+dv2w4UVr71fGq6H7OO27fINmnhs5+4wX5C//O7rPjzr+TfqkPqO+21P5bmjj3KPhLb0a9dZQ448/0ZJtLKNbi/IqJ8ZQCcIfmjqEuMN/XqpL/lbsa4Oq7Ya6NtNnpFXZecXhnkhivbgt/Z7T5+LjlabW6u3g0f8wyZl/74vPI8Cv/zu8/uVSr9y+6yCiTflhN5wqOquhwvXbfTU4wvf+LDswsnZYVws9OdB/8CJR9dsiNxlhvCKym0bF9tYqx+LSoIjrsw+fDRszWyWrHT1uejoH3/W/32gsDg4+prs/Yfor1MDRZEefLpo3JSc7Ia9JTaQDi9InZwZQCcIfoA0qK/6Gs6du31uTyRGCg9l+cdNyWngPFuNNO6QyVzjHn11dng3u+fkBUZela1a30ILj1fZuNU79LLs/7xb/8m64/x+5eb78us6Zffim6V/q/tXqapwKWOuydmwpT5BtOEsMfLQ/raW6eHZyWq1yBddYDcYmsqmrGjdtrHORvwQz84N/OOponB9N7dHqXA19Pzk5AUm3pSjcTNt06Eo0nV35T3xUvQ7D+ntgtTPmQF0guAHSH16qM/4BQLSjt/+MgN2363x/5yRcG53iyGst9HN9+eHrlBSb1pm/Hb85rt0WqM8vx484r/l/oIa/yrOaejVzaK9zObAice+2xy2dPT7vsrFmRXaX//5V64Zs2v+hzScx6tMuDH3UFaD5jTefLb5tZc627TUuoX7zpviln2QWvhrm9UL0jq0rb6Hqm0r02tPNb/xytizz9BUZ/KMjub5r6Xk7Wy99L3U8N4aehat2zauMZ+zJUmat7i82vte1G3/xffUKyU1/lWrDNN7c5KvmuCMbneKGr39XPJt18edfH+FxV0PF3zwWd1KTDcSvV2Q+jkzgE5Q3AWQOrXX9GG841ffiXUgu3aO6do55pF7EwuLg1+vd7/8TmnD52q+/9GTuUZ9sV/HduZrLnWe18vSrpXZYZfdHiW/MHDgiH/Hr741Gzy1HYbNqvKRXFwanHhjrsbqnQ67nNLcKMtSdm5A45d8/Hn5TVc5h/a3Vfv/Kc2NW5ZnHDnm/2KF64sVrnXfeyojO6L/ytzSS8Y4tLxyz/7K6+7K0/htbVa5RZqpeTNDfmHwaI5f41nKKwhcPyN/9YI0jT/lZNdPir1+UqwkSfsOVnY4T6W6/c3XxL74SFKIFzgdhpuviZWuiZUkyeVWxk3JWf1drZeo3SZvW9nCEtNUJvqqRPG2bdQJFkmSgkHp7Y/L5jwa6gqJvMdfLL7hitiM1OrpzhIjX3up89pLnYoibd3hXfGNe9bTYZuxbKCRg20jB9skSfrzoH/FN657HikM1xKS9z8rf+ntOix/MBikpERjWrIxLtbgcgezcwM5+YFwrV/Q1QWpqzMD6ATBD5DatTLHmGXVzkK1zcM0SzBMGudo38bUe/TRBh7Jmx+VhX6BwSA9+UCze/4WX23upW0rU69ulkvHOB79u3Rav8M1boNRXeo54+GCfQdVduCYTfL1VzinTY49p8v/TXUGAtKWn73/fr1k4TL1ebN/Plt8cvCr0jLddOuUuFunxJWUBRM6H1T9VtW0bmEaN8J+bndLRprR41X2/On/bFmFxii+cavXV6loqfFzw935pRoWrE4c7Zg2OfaCAbbjvya/X1n1reeNj0oXZ6pX/lizwT13QfmUy52qrwytfRvzrDsTHp8TapnTokzXf/4laWxVYrfJBUWh9slcOd7Z1FKfFNXbNs5Z698ajdKoIfZe3Szdz4pp38bUIt3kdMiVlVJ+YeCnnb5Pv6z4dGmFlhGWOjWl0Cg+1nDVBOfY4fZzusQkNTOUlSvbdnk//rzi/U/LtRyS16c882pxiAELWZZ6dbP06mbZ+KM3wnW5VJ3WxnTLtXEVLuXvjxU2/LsdyvLfPkvTAgRZliaOdlw6xjFmmK1aPPN4lV27fa+9X/bOfJUrWZV+Lki9nRlAJwh+gGQwSMlJBtVeQ/VoRlRXqiVkZt2ZMHN6fOjXnNvdUuMTZOg1Y1u2e9/7VGVJTEpz4+fvpPbr+ZeVsUaj1LeH5bM3Uua8VXrXwyoftBu2eDZv957bPdTa2vhYw5hhdu2Pa/17W2fdmTBysO0vi0WHSXdNjVu4rOK6u/JUdxZ5vMrWHb5q/66TLVhaobrE1OkwvPXv5pPGVZ8/NJnkC4fYLhxiW7C04oa71Q9p9nNFkyc6zA1uXXXTVbFPvFwcYtA6Nz/wzQ/u2tJ4NYeP+rf/Emqd1eSJDQ2rp6Io3rYhJli8+9udnOfNJql1C1PrFqbxF9pnTo+fcGOOaq2U3/ZUHs0JnDy9Vj8OuzxzesLd0+Kcjv8debMEedj5tmHn2265NnbCjblaCni88WHZw3cnhrFPzCnqH08VaRmKOv0081v/bl5bRyKrRe7VzXLLtVLD441+Lki9nRlAJ5r6myZQRcuekKM5jVtN7vBRf+galUajdNdUlcdHSZJ6nl1zgAk9dTBjdmHoZsp2m5z5YVqIdHTnTXE3X6PeFu/DhWHbcZHS3PjJ6ynffZ5+4RBbjVsELxnjWPRWqpbdg7vUCoUHAtL9T6iM0MuyNO+V5JNT34kuH+uY90qK6ua3g0f88xbXYedhbdq0NA0fqBLqFizR+oOWrAyVxlukGbXUSRJMdG/buFp6P/bvbVWdxe12Zj/HO8QAACAASURBVMyy99OsFvXbY/+h8JTk7d/bumNVy3/OSDgx9Z2o59mWVZ+kNUtQfzJxe5RFy8Nwg5zSdu32ffy5+tvpWZ1iNi3LiEwfWp1ckDo8M4BOEPwASZKkZgnqwa+svHE3nh04rBIsk5OMWka4e3StucttiM1Cm7Z5VVdF/uu+ZrV95/+95v5mtT3SHffpl+F5XBvcz7pzdYvLx6rszRsxyBY6iVVRrcyx9GuX6lD03dPixw63q/6scSPsd96ongTemheeMeapV6mk8UWZLo191UIHvyvHO5tONZfjonjbSpIUW8vt1rmDpn3LZ3Q0X3eZ+iRtfmF49jmt+yzttDYq64xOP8382lPNtXy3jz9v6sHvP++Wqu5AS2luzPwwNSEuQnemTi5IHZ4ZQCe44gFJkiQto4xuT+Pu8i4qUfn+RcVBLc1ne3S1WC2yJab6H4e91n/jq2p9zNu2Mt12vfpsXtV2x9Cvyc4N7N4bhgmEr+enpTTXtPzsJrXkI0lSiVrwe/0DlVNkt8n33aoe56rcf1u86pbL7zZ7wtJFbdxIe2pyqBOVVxBYt1F920xZeXDd96FGB5rmOs8o3rZS7W3TNBaskiRpwij1YZHQGzs1mjTOYdK2dPnysY7+vdUnYb75wdPw/hCnrgqXMk9D9J19T0KrjMht6tHDBanPMwPoBMEPkCRJilGZypIkSWrsPn6VatVlvD7lfbVteJIkJcYb3H+29eyv/mfEoJqX/JVXBBcsVfmYnH5dnMaHtlFD1HeLfbupoeVPLxmj9SFSkqS+PdRXGZWWh3p8z84NrPxGJRpdd1ms9iLyKc2NV45Xj0mqm8e0MJtk1ToxqheAJEmZa90hCiCdebq5+1ka7iLhROu2rVLbliqNEyxS7TONJ9JYkDaM7r9NfQzF71c2b/dG4GD0aeU37rKQ71qSJHVoa1ad8A8vPVyQ+jwzgE4Q/ABJkiQtVTS0N5qrHy2FsO96uEBLWcg6+eYHj2rjvku1dTuQJKmbhqf/X/6IaGcwh13OSFUZ2Q29LmjVt+7QGyAlSdKyyPNEo4eqJ+Q1G8LTrnDq5NjQV++i5eqrPUOv85w8oSlO90nRu23/76c7DG1bmdq0rP7nzNO1PmcnJRob+52tHkYNUZmmrrLxx7D18zzlfLVO/Yq64Qqn9gGysNDDBanPMwPoBNPcgCRJkpYq0qq71xqoZbr6/ehyKxNvyrnoAvszs5qd0TE8vYBVq2OnJhvbtdb6XtG+jdnpMJRXhApS+w40bpmck8XHGQ43oNfGqm9VTpElRh58Xt0qBAwfaDMapdBxa/sv4ZnQaN/GPOQ825oNtf4r8gsDa793XzCg1iwaCEiZa2p9nJJl6aqmGvyiddtWMRik/T+0auB3sNtkva2ZNBqlUUNscxeozJT+uic8VWdORaHXXVe59CKtA3bhoocLUp9nBtAJZvwASZIkn4YpKGfIzTYNd/ppJi1bDSVJ+nKV68zBRwZdcuz9z8q1VKwOba3atNI5XeqwhE+WpVS1rXcHj0Q6+DWwudx3m1UCWJfOMaHL7p8s1mlo21IlA/zxZ6WW7WFaTLtaZV1T6NWe3272FBbXeqWd18vatlUTHUaM1m0rvGHnq0+Jq1bWEVV5RXDPfpXQ27GduWO7cI4ynBI4M0BoBD9AkiRJtXu71PgzfiaTrFp5/0Trf/Bcd2dectdDo67OfvOjstz8+hRgCAal3/epfEye00WlwV01NrWyJeWuU+mp11epHDiicoo6tK1P7OnQTuWrAgEp61h4ukdOGGVv3ixUIF+c6fLXPu+9ZEXIdZ4Tm+7weVRu26ZAy5bRyA8h6cTO3ZWqi8/PPrMp7rnlzAChEfwASZKkwmL1xy8tm3ka6MYr67zd3FepfLXWPW1mfvo5hwZOPPbK3NKCojrEqoNH/KpzSk++XCy32K/9j2pPPL2tKwtt3wG/6v63Dm3rM36s5avC1T0yxiyHrpOeXxgIsaVw6de1Bj+zSb58bBNd51kl8rdtU9Cpg1m1O0iTjc1aOit27dwU4w1nBgiN4AdIkiTlFag/dUVgMdvFI+3nn1vPZrLBoPTtJs9tDxZknHPokqm5qn35qqiuimkMqiOyurLvoPopSk/VWs/zRFpaSIVYYFlXUyer5JPaWiz++kfl3gO1noSRg21JiU36oyTyt22deH1KcWkwJy9w5Ji/xj/6HIgxm+TQc9SSJPkqFY0tKAWTla3+z9a+MTvCGvWCPKXPDBABXP2AJElSXoH6p8Xpp0ViV8CC/6b0HpWl5dOrNr5KZdHyikXLKy4YYHtsZmLfHqEWamr5h4dd6NZkelOkIXqpNuWr91epFlzVrlN788C+1vU/1BotFmdWvPZk0snF7pasDLX9r2m276smwrdtCLn5gTUbPFt3eHfu9v150J+dF1Atba9byUlG1Tk9lzsYgbUYepOdq36lxenjtET4gjyFzgwQFQQ/QDp81K/l8ToywS89xbhkbtqgS46FLoypxapv3Ws2uO+7NeHRexNqK10dlcH+xt4tGV5adiTabfX5Fzns6l/lDV/wkyRp6lWxIYJfQVFw9XeekYOr71gL0cjB6TCMG1G3PhZ6E9Bwn5nUPiojfNuezOVWPlpU/vbHZZu3e0+tGfUQtFTN8XiV2KY38lCh4U0p1hnN8bVoXZD6PzNAdJ1Kj19AI9m9V9Nyx8gEP0mSenSN2fRlxlmdwrAPIRiUnny5+Pzxx4pKav44jEqdFdWyn7qiJRvXtaRnFdU4IWmolFMnl17kSIwP9bZ/8mrP3PzApm21FjWdMMpev9lOLVS3eEmSFAw29KFSy+/XqSGiR/K2reaTJRWdBhyZNjN/0zZxUp8kSWYNN0hMwwr2nqK0jFTW700pLKJ4Qer8zABRR/ADpJ9/VW/mcFobUyQ3Mp15unnzsozp18WFpcnspm3eS27KqbFXYXgnlDRq0/JUWmtQqaHia/0ebrS0atASObSzWuRrLg01P7I4s6Jabc+lX7tCdLe/ujHXeWoJxg2fstYyReB0aLoNI3bbHhcISLf+o+CKW3KPHBOwvqWWX67GXhqC8WkYq6yMRo/DqF+Quj0zgE6cSo9fQCPR0u915KBIr2ez2+RXnki6+29xs58r/vjz8gbWMFj7vWf6AwVvPtv8pJ+iKVd0ah/O2c46NQaMOouGJ0st7UBO5vaof1XY90NOvSr2pbdLa/vbwuLgqm89Fw7532rPEOs8U5ONWpqt1ZuWZ/qyBi+tVE0XsqxpUW6VyNy2x90+q+C192v9bZ7qVH+5VovcwBadpyiLhndQlzsKg3pRvyB1e2YAnSD4oanzVSrfblYPfiMGNeIDbgjt25g/eCn5yQcS5y4of2d+2f5D9R9GfWte2Q1XxPbr+ZeiEVpyxfOzm82YGl/vn3uq07IuqKS0PvEjJ089FqQmh3lZbJfOMf16WjZurXX15oKlFceDn9ujrPrWXdsrr7jYYWzMRbtainaUVzT6jF9ivEGuY7ho7Nu2yoKlFQKnPknDbZWWciotGg8jLQN2uREv3KWHC1KfZwbQD4Ifmrovv3aVlqk8XphM8tD+9SzXHhYt002z7kx48I6ETdu8i5ZXLFru0tJj4GQvvV3Sr2fKif9HS52VPX8KuIpMO9Wa8pIk1a8Jm2oBOpNJbozK41Mnx4YIfp9/VfHfZ5LMJlmSpFXfukOMjk+e0LhVNeJj1S/O+kXuEx05pvJbqPfm3sa7bSVJ8vuVex8tVP3aZgmGqy9xDh9o69zBnJxkdNjkk5ehOjse0GFHh4KioOoWxxZpTfQZRsuAXVZkF1vq5ILU4ZkBdKWJvmkCx737Sbnqa8aNsMdpeAZtbLIs9e1h6dvD8sysZtt/8S1cVvHJkoo6NeJbstLl9ysnftC2TFdPNbt+V98DKbAMDT366rehRbWqUNuWJnM4dotVM2mcc8bDhSW1jHcUlQRXrfeMGmqTQq7z7NjO3Lt7PVsOaJScZJRllf2T9YtSJ1K9gzp3aNA658a4bSVJ+mqd+/BRlatuQB/r5++kNkuI/ntXPezcrf62c+bpESq4pTcpGupj/bonolvZdHJB6vDMALpySn4eAOHyy+++ZatrfbQ97vYb4iJwMHXS/ayYx2Ym/vFdy7WfpV8+1qFxKZrLrVQLG1pmM3782Vu/PWxiaNda/RT9vq/OTxKVfkX1q7p0bpTnWrtNvirkZN2CpeWSJCmK9OWqWu+OCLTvs1nldLW1fL/+0aBnuMNH/aoLbjt3CNuW1HDdtpIkfbFC5Y0rLtaw8M2UUzT1SZK0bVetk9LHde18Ku0WDqO2rdRH7bf/EtEBO51ckDo8M4CunKofCUBY3P9EkWo9xq6dYwb3i+Y6z9AG97N+8nrK90syup+l6RnowJG/DMqmNDeqLqhze5TvNGyDFFVGqlG1oOu2XXV+kvhhq3qcHtq/sXaWTrs6NsTffv6Vq9KvbN7uDbEY9aoJjkY4rurat1WJvnv2Vx7Nqf+OndXfqV/YferbSz2EBt62kiRt3aGSi8aPtCcnncJb4BZnqg/J1bj1sSlo00I93vz6h0/LLuJw0ckFqcMzA+gKwQ9N18efl4eY0DjunptPgbomfXtYvvs8o1c39cegkzc0avmqjxZVb+/WpPToqnKK8gsDdZ16ylxba9GU44YPbKzg1/2smBC/9+LS4Nfr3SGG8M/tbunYLhKr7Hp0Vc9FizPrf3G++0lZ6BfExxrO791Y6aIht+0ff6pcb2efeQrPhh3LDWzYopLJ42IN53RposHvjI5m1bpKiiIt/Vr9Ay5cdHJB6vDMALpC8EMTtXm796Z781Vf1uccy7Uh+56F0U87fc6OB6r9iet0UEu3N0mSHHb56QcTVV92cr/jCwaoz2d+sqQ8N7/pDpFqaVqw+Ks6xI9gUPpwocrm0natTQ3cXRbatMmhJv0WLKkIscEvAus8q1wwQP3Mv/hmaf26JmzY4ln/g0q6GDHIFropX1Ru20BAvQuF9hYUOjTnrZIQ3SOrjBpia9SisnrmdBi0LHPVsoM9LPRzQertzAB6cwp/MAD1tupb9/ArslWb+RiN0mtPNa9rJfd6KysPVriUan/KyoOHsrQWDulzjnqEO3mLhZZppQqX8sjzxRoPo0YNbGgWXVWVTkJ7a16ZP2Sv7RPN/6JctRBC6GDWcFeOd4So6frep+W/1FLUx2iUJo2LxDpPSZIG97OqNkPfe6Dy0ReK6vqdS8uC192pPvQz/kKVBp5RuW3dHvVapoVFmm45v1/RW0nPQ1n+OW+pdwUIvU9VeOf1Ur9svv/R883GSKzS19UFqaszA+gNwQ9NS3lF8P4nCkdela3awkGSpDtuiI9kq/HagujBk7b31KZSQ/Bo27L6JFKPrhYtJV5ee780c4366sST+SqVF98sbdf3sPZ/iN6cfUZMF7VR5AOH/S+/q6mHVVl58MGnVYJKjFm+4YrGDX5Oh+HK8fXJbxcMsIW9u2BtnA6Dlhnpx+cUvzVPZdHmifIKAmOuzVGtCNoqw3TZWJVTFJXb1ukwqObhrTvV952WlAVHXZ2j+rJI8lUqU+7K83hVzkmrDJOW4RiBjblA0z9/xuwCjQNSy1bX5+29iq4uSF2dGUBvCH5oEgIBadsu36yni9qfd+TpV9QXEUmSNLCv9elZ6kuwwsjlrvmwtD9BfqW2bSylufG0NtX3vsuydPO16hlDUaRJt+TWqcpLhUv5z7ul7fsdmTG74PBR/20PFmj/Wr25UUMMu+/xItVR5EBAmjIj/8Bhld/plElOLXXJG2jqVfXJlo3dvq+aaZPVa+oGg9LUv+dfPyNPtVV6ICB9tKi89+ijWq7ke2+OV22nEa3bNjFe5eN7+WpX6OXZG7Z4+ow5uupbHT3U+v3K5Fvz1n6v/quZOV39VyO2EQNtWlqMbtvlu0etvZ7Xp8x8vHD2c3WeNj+Rfi5IvZ0ZQFfo4wcR/Pyr7/E51RciKopUUhosKAocPOLf8rOvvKIOjZ7btjItfDMlwg8WtU0dqIaEKoey/DMfV/kYq21V55TLY2c/V6w6C1pWHhx+Rfajf0+cMTUu9Pjulu3eDxeVv/9pefEJ/bW/XOVanOmaMEpl7Zw+Tbs69omXi/MKQj24VPqVcdfnvPx4Um37QnPzAzfek69aUig+1vD4zEgMOvTubul+VkydipvbbXKEf4PjL7R37Ryjpavb3AXlHy6qGDHQNqCPpU8Pa3IzQ2KC0WaVvT4lNz+wd3/lpm3ehcsr/jyo6YZKTzHepCEYR+u2bZVhDH01erzKNXfkff5Oqs1a/VbNyQs8+HTRO/PLVGsaR9L3P3r+dl/BLg2/6E7tzVMbeSG0/plM8hUXO/6jYZXBS2+XSpL03D+b1fimvWSl6++PFaqWZlGlnwtSb2cG0BWCH/RLUaStO7zLVrt//lX9UeChZ8I2JpeeYvzyvVQtQ4bH7TtY+fI76h8zr8wtnTk9oV3rmu87l6eWJ0i1qYNgUPpsWcUt9+cXFqskt5uvqflpKTHe8NBdCX9/TOUBVJIkj1eZ+XjhnLdKrrs8dnA/a5fOMYnxBpNRKilT9h+q3PGbb+NW74raO/ne8VDB8IHWEFvLJEk6csyv2lzxy69dbo9y8gNEjbw+RbXU+CtzS++eFn/yvMpxdpv80F0JdzykMmlZWha87s68/35Qds2lzoF9rBlpRrtNLiwK7vjNt2y1670F5bW1TT/RI/cmRqwQ/9TJsbf+ow4zseNG2EP/+sJOlqUXHml2waRsLS/2+5Xla1zL1zS0ZJ8sS3NfTLbb1C+waN22559r/Ult7dzKb9y9Rx+ddWfC0P7WZgmG/MLg5u3ehcsqFiytUF1LeaKv1rqnXR0bY27QQNgnSypOa1PU6+yYtq3MzZsZqt5gc/MDx3ID32x0f7HCtWmbV8tzvyxL/326ueWkIlXVeLzKuu89qu8kC5dVrPzGPaifNcQ3zM0PZK513z5L/Tb5230Fl491DDs/1Fucokg//ux95tWS0N+qoCg4/4uKkYNtIWbS7vlb/OsfaNpa/NLbpSvWue+aGj98oLVluqmyUtmz37/qW3eIrbw1OnEgrxpdXZC6OjOArshKVrtoHwPwF6Vlwa/Xu5etdi9f44p8s51O7c0r5qW1aak+JuKrVNb/4Fm+2r1statOg4KdO5hHD7WPHmYb0Md64kfXC2+W3D275ug1aZyj59mWrp1j2rQ0pacanXbZ65MKiwO//lG5YYtn3uIK1d1KkiQN6GNdvyi9tr+t9CtdhmRFYHTzrqlxL8xOOvmnf7/Fm7nWtXy1W8vcjiRJNqt8wQDb2OH2i4bba2zzfSjLv3yNe/lq15oNbo3VAs483XzRBfaxw+39elpPLhgYDEr9xh7dvF29r3RDjB1u/+Ld1IiVFCotC6afc0i10NFxS99LveiCKMzZ3nxf/n8/rMMuvgaaMTX++dnNtLwyWrft51+5JtwYue15cbGGMcPs4y+0jxpii3XWEEUunJy9Yl0kVo0+fHfC7HtqnQ8/eMS/fI1r+Wr3mg1u7Ve1wy4P7W8bPcw+eqit9f9vBLfjN9/CZRXL17i37tCUSI+LMcsD+1rHDLNfNtbRIu3/3keKS4Mr1rmXr3Z9tc6tvUKy0Sj17WEdPdQ2epi9xpaPN96T/878yN0XkiQNH2ibMMp+8UhHRupf3iL1dkHq58wAukLwg+6cPSxL46N/2A3qZ134Zqpqt+4q196Z98FnDSoJff2k2Heeb378P//1UvEstZof9WaJkX9e1aJT+1BFXLbt8vW/+Ki7lhmMcDEapS3LW5xYNefIMf9ZQ7K0lNupkSxLT9yfeP9tCSf+z+kPFLz2vqZSKzVKSjTk/Nzm5Oy372DluaOPqk7R1FvHduYtmRnxsRGdUrt+Rt7cBZqu5ObNjEe3tYrK3iqvTxkw4diWRk7dVYb2ty3/MFV1TqlKtG5bj1dp1/dwdm4YhsbOPiOm42nmhcs09SOxxMhXXOyY+2Jytf8fmeB32UWOT15PqW1Y5M+D/vbnHW7gjzi4uVVV9rvo2hzVCcPQHpuZOOvO/3tfat37sGoh39Dem5N88hrynLzAmYOPNN47Um1kWerdzTJzevwlY/6v+pHeLkj9nBlAVyjuAt0JRmPbidNheOmxpLWfpmtMfZIkaakQo/Yd/vJP1T4+XVeyLL317+ahU58kSed0iXnjmeahX9NwQ/vbqtWm93iVeqc+SZIURcovrP7luSF3m6gqKAoqNQ3yt29j/vSNFKulUZJPp/bm1QvSIpz6JEnSvl3q8rGOaFXUsMTIy95P1dKhq4EuusC+7AOtqU+K3m1rtch3T4tv+E85o6M586O0of3VS6dW8fqU7zZHIn6f7MrxznmvJIeYDA+GY4tYw9/Ya/m2DT22Gg8sNdn48uPVF1DU2+B+1uMTnqEpirR5uzfzhLpEersg9XNmAF0h+KGpk2Vpwij7ztUtbr8hLmLr62rkbpwnSINBeumxpKsv0VSJ8epLnK8+mWRonDeG5CTjO883X/mxppW0ujW0v23pe6ladn/VSY+uMesXpbfKiMKZOa+X9axOmgLV5InRHMNOTjKu/Sx9xKBGLOJ/9SXORW/XLdhH8ba9dUpctzMblIR7nm1Zvyg9I9XYq5ulId+nsRmN0mMzEz98OVm1Z0ATdNUE54ypYUhcUy53fjUvTUtb19ro7YLUz5kB9IPgh6YrxizfeGXsb9+0XPRWattW0Y8itdWFb4i4WMMX76bedr16Qfzjbrk2bt4rKQ57OB+wrBb5/tsS9m5oef0kEWrxXTDAtunLDC3ND7UwGKR7b47/fklGBPo31EZLX4d2rU1aOiM3qqREQ+aHac893KzGXT0N/M7vzUn+4KXkuk5pRvG2tdvkz9/RujT9ZNdPiv12cXpVkZVuZ8Y0sHZL4+l5tuW7zzNm3ZnQSANSAnju4WbX1FJJWAurRX758aR3X0i2xMh9zql/4tLhBamTMwPoB++jaHKcDsOEUfZ3X0jO+qmVlgWQEVNbecB6u+wix6/rWtajFMekcY4dq1oO7heGp/yEOMMDtycc2NTqyQcS4yK+iLHxdOkcs21liwduT2jg00n/3tZvFqY/+1Az7WsLG8O1lzlVp7muGh/R9n21MRiku6fF717f8pZr4zSWdQ0tMd7wjzsS9m1sVVsTjtCie9u2bWX6dnGdxyAyUo3zX0t55/nmx0+gJUbu0lkv74THde0c8/6c5C3LM/r24Jk7FFmW3p+T/NjMxHosWulzjuWnFS2OjzL07dmgU623C1I/ZwbQiejPcgCNxGySY51yrNMQ6zSkpxjPPN3cpVPMWZ1ienSNie5Ddm0GnGv9bU/l9l98WopQh2AyyZeOsc+YFn9u9/p/UJ3WxrTm0/QvVriefLm4HnUsZVka3M963eWxl45xhHfyUD/sNvmJ+xNvnRI3562Sdz8pzy+sw65CS4w8YpBtxrT4IedFeQ6tSmK8YcIox8efhyrxMnmiLoJflYxU46tPJj3694QPFpZ/9qVr41ZPXbd3WWLkIf2tk8Y5Lx/raMjC3ajftmd0NG9ennHvo4VzF5SrHkNKc+Nt18fNmBp3cr+BXt0squX4QxjU15qTF/htT6XX19AknJZiHDPMfs0lzkHhGHuqt84dzPmFDXrWb5ke0UesWXcmDB9ou2NWgcZ37HatTY/ck3j1Jc4TQ9FZp8fEOg1l5fWfx9bJBXkinZwZQA+o6gnoS4VL2bTNs+kn7/ZffD//6tuzv1JjsYHkJGP/3pZxI+zjRjjqvdimRpu2eRctr1iy0rV7r0r1+dPamPr2sI4cbLtwsE37wsVAQArd+VeVwy5XW/tXXBr0NGwqJq2mFhG18fuVdRs9X693b9zq3bXbV1RSw+8s1mno0sl89hkxQ/rbRg+tuQR5FD30TNHjc4pr+9te3SxblmdE8njqpKAouGW798cd3t17K48c82cdCxSXBj1exeNVgkHFEiPbrHJykjEtxdi+jfmMjuZe3Sx9e1jCWKRHD7ftvoOVr7xblrm2hvs0LcU45DzbhFH2cSPstQ17rVjnfvcTTeXv01KMLz5Sc9kMv1/540//L3/49u6v/POQf9+BysNHAzn5gRCPywaDlJxkbN3C1LVzTI+uMX3OsfQ82xLd7danNEWRVn7jfvvjsuVrXDW2sYmLNYwYaJs80TluhL3G1bO3zyrQWFh7zDD732+pdROdHi7IE+nnzABRRPADdM3tUf48WHngiP/gEf/R7EC5K1jhUlxuxWySbFY5Ps7QKsPUpqXprNNjausLH0bFpcFdu32/7aksLA6Wlgc9HsVmlZ0OuUWaqV1r05mnx1Qr19lklZYFj+UGKlyK16fYrHKc0xAXKyclGvX8OHvZtNzPaq+f/p9/Jd06pQ47RZu46N62ufmBrOxAXkEgGJQS4g3tWplSk6PcWMzjVfIKAuUViserVE0JWi2y1SI7HXJqsjFapWLFFghIO3f7ftvjKygKllcEHXZDcpLxrE7mzh3MET7hersg9XNmgMgj+AFAU3c0J9D23MOVtazLslnlrJ9aJ8aT6gEAOIXxQQ4ATd1Lb5fUlvokSbriYiepDwCAUx2f5QDQpBWVBF9/P9RemluniNCEAwCAJo7gBwBN2rOvlZSU1Vp7Y1A/a8+zqWMOAMApj+AHAE3Xnv2Vz/+3JMQLZk6nNh0AACIg+AFAE1XpV6bclR+i8Vrv7pbRQzV1EgcAADpH8AOApkhRpOkPFHz/oyfEax69NzFixwMAABoVwQ8Amhy3R5lyV95b80LVdBk+0HbhEFvEDgkAADSqRu/4DADQj0q/sjjT9c9ni37fVxniZTFmec6jSRE7KgAA0NgIfgAgoOkPFASDSnqqyemQbVbZ41XyC4O//O5b/4OnuLTWGp7HPTQj4YyO5ggcJwAAiAxZyWoX7WMAAISZs+OBCletcWdw6gAAFWlJREFUVVtCG9TPuvqTdKMxvEcEAACiiT1+ACCavIJAvVNf6xam+a+mkPoAABAMwQ8ARLP/sL9+X9gswZD5YVpaCrEPAADREPwAQDT7D9Un+KWlGL9ZmH7m6WztAwBAQAQ/ABDN/kOhKnbW6PxzrVu/atGlc0xjHA8AAIg6gh8AiKZOSz3jYw0vPpK07rP0jFRWeAIAICzaOQCAaDQu9TytjenGK2KnT4lLiGMQEAAAwRH8AEA0l491tGtt2n/IfyjLX1waLK8Iuj2KJUZ2Ogwt040d2pp7d7cM7mft3d0S7SMFAAARQh8/AAAAABAcy3sAAAAAQHAEPwAAAAAQHMEPAAAAAARH8AMAAAAAwRH8AAAAAEBwBD8AAAAAEBzBDwAAAAAER/ADAAAAAMER/AAAAABAcAQ/AAAAABAcwQ8AAAAABEfwAwAAAADBEfwAAAAAQHAEPwAAAAAQHMEPAAAAAARH8AMAAAAAwRH8AAAAAEBwBD8AAAAAEBzBDwAAAAAER/ADAAAAAMER/AAAAABAcAQ/AAAAABAcwQ8AAAAABEfwAwAAAADBEfwAAAAAQHAEPwAAAAAQHMEPAAAAAARH8AMAAAAAwRH8AAAAAEBwBD8AAAAAEBzBDwAAAAAER/ADAAAAAMER/AAAAABAcAQ/AAAAABAcwQ8AAAAABEfwAwAAAADBEfwAAAAAQHAEPwAAAAAQHMEPAAAAAARH8AMAAAAAwRH8AAAAAEBwBD8AAAAAEBzBDwAAAAAER/ADAAAAAMER/AAAAABAcAQ/AAAAABAcwQ8AAAAABEfwAwAAAADBEfwAAAAAQHAEPwAAAAAQHMEPAAAAAARH8AMAAAAAwRH8AAAAAEBwBD8AAAAAEBzBDwAAAAAER/ADAAAAAMER/AAAAABAcAQ/AAAAABAcwQ8AAAAABEfwAwAAAADBEfwAAAAAQHAEPwAAAAAQHMEPAAAAAARH8AMAAAAAwRH8AAAAAEBwBD8AAAAAEBzBDwAAAAAER/ADAAAAAMER/AAAAABAcAQ/AAAAABAcwQ8AAAAABEfwAwAAAADBEfwAAAAAQHAEPwAAAAAQHMEPAAAAAARH8AMAAAAAwRH8AAAAAEBwBD8AAAAAEBzBDwAAAAAER/ADAAAAAMER/AAAAABAcAQ/AAAAABAcwQ8AAAAABEfwAwAAAADBEfwAAAAAQHAEPwAAAAAQHMEPAAAAAARH8AMAAAAAwRH8AAAAAEBwBD8AAAAAEBzBDwAAAAAER/ADAAAAAMER/AAAAABAcAQ/AAAAABAcwQ8AAAAABEfwAwAAAADBEfwAAAAAQHAEPwAAAAAQHMEPAAAAAARH8AMAAAAAwRH8AAAAAEBwBD8AAAAAEBzBDwCA/9fe3cfYWdUJHD/nuffOK52WUikVUEFBKQuCBVGriYmsYkcEVqn4Aq5mDTHZgOya/WPd+LqaNcbEzRr/UIldEZBFNGJBEXAtSmOhFMXwIi+hxS3YMmWm0ymduXOf5+wfdzoMb6XEdi5z+vmkaeblzn2e3P+++Z3nHADInPADAADInPADAADInPADAADInPADAADInPADAADInPADAADInPADAADInPADAADInPADAADInPADAADInPADAADInPADAADInPADAADInPADAADInPADAADInPADAADInPADAADInPADAADInPADAADInPADAADInPADAADInPADAADInPADAADInPADAADInPADAADInPADAADInPADAADInPADAADInPADAADInPADAADInPADAADInPADAADInPADAADInPADAADInPADAADInPADAADIXL3TNwAAAAe6lFJKIaVO38fcEWOIcfrruMfXEoLwAwCADkspxBBqAuZFiFUKKQSpvNeEHwAAdFQt7BhLW4er7TtTKKKYeSEppfDyQ4pF82Oj7uPaW8IPAAA6qj/e/YfmlVfv+s1tk7XuWFXWfD6/GGIM1Xh14fl95wz2Ll4cq/FUq5mUvjDhBwAAHVULo2Ppkc3lPX+aDLUYKisY9yiGUKWtQ1WzFUKMPqy9JPwAAKDDYoxVFVtVrDVilUIywXoeMYQQQzWZ0tRnpPr2lvADAIAOm9qjMoZYa6cNzyvGFEIMU7t62g9nbwk/AADoqBhDCCmE9okOHvB7Qcl+ni+eA9wBAAAyJ/wAAAAyJ/wAAAAyJ/wAAAAyJ/wAAAAyJ/wAAAAyJ/wAAAAyJ/wAAAAyJ/wAAAAyJ/wAAAAyJ/wAAAAyJ/wAAAAyJ/wAAAAyJ/wAAAAyJ/wAAAAyJ/wAAAAyJ/wAAAAyJ/wAAAAyJ/wAAAAyJ/wAAAAyJ/wAAAAyJ/wAAAAyJ/wAAAAyJ/wAAOCAllJKKb3YXzG3CD8AAIDM1Tt9AwAAQMe0B3oxhBBCEWOIcfpXVVVNvybO+DlzkfADAIADXZVSaDanS29KoxFqNcGXB+EHAAAHrhhjqqr+np7XHH/8EYcf3tVopBBCjFVZ3r5hw9DQ0GSrFQsPiM15wg8AAA5cMcaQ0vx5897+9re/bfnygYGB9s/Hx8eHhod3jIy0ms1Yq3X2JvnrCT8AADhwtR/e6+3ufu2xx75t+fJFixa1n+gbGxv77qpV9Vqt/Rp7e851wg8AAA5c7eMaqqraNT4+2Wo1m82UUlEUrbIsyzKlFJzokAXhBwAAB672xC/GWBRFvV6v1+vt8KvX60WMMcYQo4lfBoQfAADwVAFOfdvRm2Gfsz8PAABka3pSl3abhSs+46L7+4rsDRM/AADI0Mz6ik//+f47jf2pzJsRfFNnxDsCvqNM/AAAIDfT2dU+rSFVVZixenM/TeGeetsYq6qa+nZ37xn9dZbwAwCAPMWiqCYnuxqNnt7eIsawP2d9uy8ZQwihLHt7e7u7u4sYQ1WZ9b0UWOoJAABZSSm1F1ZW4+MDAwODg4PHLV36xz/+8eqrrgr1evs09n274HN6MWcqy5jSokWLLrzwwpTSjTfeePv69amqYlG0n/cTgZ0i/AAAIB9TcZVSTOmg/v6zzzrr3Pe//7jjjrv3xBN3PfnkunXrhkdHy3296nIq5qqqu9F41StesWJw8IMrVxZFsXDBgpDS+g0bqqoKRRG0X+cIPwAAyMHMjVWKEOYddNCyU045//zzTz7ppIMXLFi4cOHYrl2bHnlkdGysbLVisU+f+WoPGMuyp6fnhBNPvOAjHznmNa8pimJwxYqJZnN0dPSBBx+sUkrtBw61Xyd4xg8AAOa86eoriiKUZV939xuWLfuPr3zlLW9608C8ea1Wq1YUrzjiiO6enrD/TlmoqkajMX/BgsWHHhpCmGy1jj7qqPNWrrz44osXLVpUxBh3J59jHmafiR8AAGSiqNWq8fGD+vvfcfrpF1900d8sXdp+9m7Hjh23rl37b5/73EMPPji5z8d97ZALIXZ1DQ8PX7969cTExOc/+9nDlywJIRy2ePFZZ54ZQvjGf/7n/Q88kGIsarWqqvbtDfCChB8AAMxtM3dzmb9gwXsGBz943nknnXhiCKFeq219/PGbbr75e6tW/enee1vt9Zb77TbKGIeGh39144093d3/8PGPL126tKe7e/7AwHtWrJiYmLjiyivv2LChbLVivZ6qyprP2ST8AABgDpvezaVI6aCBgXPOOuvcc89946mn9vX1hRAe+8tffvHLX/7P1Vevu+22VlmGWq39V/u2uKYXcIYYW1W1ddu2n117ba1WW3nuuacsW9bb07P40EPfMzgYQmg0Gr9bt64sS/t8zjLhBwAAc9LM3VxqIRw8f/6pp5324Q9/+JQ3vKG/v7/Vau0aH//1mjVX/+hHt/zmN5OTk0Wj0V5juZ9aK8bYLrkyhC1btvz4xz/u7u7u7+8/4fjja7XaK4888szBwSql4ZGR++69N6QUQkj7+mAJno/NXQAAYO55xm4u8/r73/yWt/z7F7/45tNO6+vrK8vyySefvHXt2q99/etr1qyZhepri7v37Sx6ex/fuvXyK674zqWXPrxxY4yx1WodecQRK9/3vk9ddNEhhxxSm3GgvL1eZoHwAwCAuSrGWI2PD8yb964VK/71M5957bHHNhqNoihGtm//5c03/9OnP/3A/fe3qirW67O8n0pVlrG7e2Rk5PrVqz/7hS889PDD7bRbuHDh4BlnfO2rX1163HFFVaVmMxj3zQpLPQEAYO6Zmq1NTh796lef9d73nn322Utf97p6oxFD2PTII7+48cYfXHHFxo0byxDap+eF/Tzrm3ljafcyzirGoSee+O2aNV/+ylc+esEFJ5900vyBgYMXLnzXO99Zq9V+eNVVv127dmR0dJ/vMsqz+YgBAGBOijGmsjzyyCOXL1++7OSTe3t62osnN27adOutt25Yv769snP6xbN5Y+0uDTG2Uto2PPzz66/fsGHD8PBwjLFWFIe+7GWnv+Mdb1i2bP78+aGqpl7P/iT8AABgzoqx2WwODw9vHx1t75ISY6zVav29vQvmzStm5NRsPkQ3/cxe+/9ao7Fg/vxGozF9O61Wa3h4eOfYWCpLwTc7LPUEAIC5p312QtHdvXbt2qosq5Q+8qEPNer1lNLbli/v7+trleXl3/9+rNefWns5Kws+pwszxhiqqghh0cEHX3zJJe8755zFhx7absKhbdu+8c1vrv7pTx997LHY1TU7N3aAE34AADAntUd8RVfX7++669Lvfney1frY+ed3dXVVVbV06dJPXXRRqyxXX3vt9h07inq9mt1tM9vVl1qtE17/+o9+9KPnrVw576CD2r96eOPGL335y7f8+tdbh4amq4/9TfgBAMBc1W6/Zlne+6c/XbZqVTk5+XfnnHPY4sXdXV2vPvrof77kkv7e3htvuunhjRun22/vz81rLxwtnv8BvPSsN5ye3aWUQkrL3/rWD37gA+8ZHJw/MFCr1Vqt1p1/+MN/f//7v7zhhh07d5YhzOauMwc44QcAAHPPzAWcMcaxJ5/84913r1q1KoTw7jPOOOpVr+rp6Tnh+OMvuOCC/v7+n61e/eBDD8V6/dmptgeTrVZVVVVZxmbzOV+QYgwxht138pSqiiktX778gx/4wBnvfOfLlywJITSbzdtuv/3qa65ZvXr1tuHhUKuFEJLqmy3CDwAA5qSZp5/HohifnLzzzjsbXV2NRmNwxYqXL1lSVdVpp54aUpqYmNgxOrpl27YwYzS35+KKRfHyJUuOOeaYnTt2PMdReynFoti+Y8fI6OiT4+NPe0FK9Vrt6KOOOm/lyne/611HHH54VVUxxnvvu++an/zkZ9deu3nz5lpPT1mW+/bTYM+EHwAAzGHt0d/UXi+9vbetW9ecmGg2mx//2Md6e3pardYbTz21t6+vCuHSb397MqW0FxO2GGN3V9ffX3DB42ec0Wq1iqKYOdFrz/e6Go1bbr31hp///O577inaj+rFGKqqFsJhixf/y6c/veLd7z5k4cJ2Yf5ly5b/+ta3fn7ddVuHhqarz6xvNgk/AADIQkqpqoqennvvu2/VqlXNZvOSiy+u1WoppWOPOeYfP/nJRr3+w6uuenzbtj23X/vRvnq9fsrJJ5dlOVV0z35ZCGNjY3fcdlvcPTxMVdVVr594wgkXfuITZ515Zl9fXwihLMtNf/7z57/0pTU33/zEyEjRaJj1dYTwAwCAua19Wnr76b0QwmRKDz700JVXXllvNM4799xFixb1dHcfecQRZ5999po1a4ZHRibLMhZPHeidppqx/UBfe8uV1G6/Wq32nFec2lC0eNqp4Kmq+vv7j1u69G9PP33ewEAR40Szefv69Zddfvn/3nTT8OjodPCZ9c0+B7gDAMDcN+PhvRTjzomJ++6/f9X3vnfV1Vc/8MAD4xMTjz722JpbbhkZGUlV9YzqiiEUMTbq9XbLFcXUwe/T3z5D3K397YxbiM1m88+bNv1u3brmxMSuXbtuXbv2B5dfft3q1UPDw62qam8Do/o6wsQPAABy8LS9XmKcmJy86667LrvsslartWzZsrvvuec73/721scfb7WXbj49wMqqGhsbGxoaqqoqPM/azmdeLoTRsbHJycmw+7qxVtu5c+edGzZceumlhx122MT4+I+uueb6667bsmVL0d2dqiqovs4RfgAAkI/p/AsxFj09d9xxx9ATTxzyspcNDw9vfuSRorc3FEV4+sl7KYQdO3fetn59Sqmvt7dKKT7/2X27/ybVarU7fv/7v2zdmmKsqirsbr/RnTtvWbNm58TE9tHR/9u0afv27XZzeSkQfgAAkKH26K/W0/Poo48+tnlzFWPR19c+V33my6qqCjGO7Nhxww03/PpXvypeTJtNtFoTk5Oh/lRTpBBCUUzGeMe6dWVKVQjRbi4vDcIPAACylVIq26U3o/eeOXmLsQph18TEromJFzWSS8/xXlMXbbYvF+P0dY37Okv4AQBAbmau5JzewLO98eczAqx9DGAIIRYvet/H+Fzv2V472n6357wiHWFXTwAAyNnugx7SC75yn1+Ulw4TPwAAyNb0tG0PY7e/ZiL37L+d+ROzvpcOEz8AAIDMCT8AAIDMCT8AAIDMCT8AAIDMCT8AAIDMCT8AAIDMCT8AAIDMCT8AAIDMCT8AAIDMCT8AAIDMCT8AAIDMCT8AAIDMCT8AAIDMCT8AAIDMCT8AAIDMCT8AAIDMCT8AAIDMCT8AAIDMCT8AAIDMCT8AAIDMCT8AAIDMCT8AAIDMCT8AAIDMCT8AAIDMCT8AAIDMCT8AAIDMCT8AAIDM1Tt9AwAAcGBLKYQQQ4hx6h97MPUR+ZReJOEHAAAdltLuL6oUqo7eyktfDCGkkNofWkohqcC9IfwAAKDDqiqllGKVqmYIZafv5qUtxVDEFEK7lePuL3gBwg8AADqqDAMHxVccXlv62nrRXVTCb4+KGMqJ6tBDiq76jFEpLySmzUd1+h4AAOAAVktPjFSbt1bbtqdYaJk9iiGGkKrwyiXFkkVFd1cMVYgei9wLJn4AANBRrXDwvGLB/MK+LnsvVimk4HnIvSf8AACgo2JMKYVWSIZ9e8/2py+S8AMAgA4rYrQzJfuVA9wBAAAyJ/wAAAAyJ/wAAAAyJ/wAAAAyJ/wAAAAyJ/wAAAAyJ/wAAAAyJ/wAAAAyJ/wAAAAyJ/wAAAAyJ/wAAAAyJ/wAAAAyJ/wAAAAyJ/wAAAAyJ/wAAAAyJ/wAAAAyJ/wAAAAyJ/wAAAAyJ/wAAAAyJ/wAAAAyJ/wAAAAyJ/wAAAAyJ/wAAAAyJ/wAAAAyJ/wAAAAyJ/wAAAAyJ/wAAAAyJ/wAAAAyJ/wAAAAyJ/wAAAAyJ/wAAAAyJ/wAAAAy9/8SkkEpiph92QAAAABJRU5ErkJggg==" } diff --git a/dist/projects/design-detectives.json b/dist/projects/design-detectives.json index 8896aea47..2db0f5e8e 100644 --- a/dist/projects/design-detectives.json +++ b/dist/projects/design-detectives.json @@ -2,9 +2,9 @@ "slug": "design-detectives", "repo": "Laboratoria/curriculum", "path": "projects/01-design-detectives", - "version": "7.0.0", - "parserVersion": "5.0.0", - "createdAt": "2023-09-04T20:11:49.851Z", + "version": "7.1.0", + "parserVersion": "5.0.0-beta.0", + "createdAt": "2023-09-13T14:12:53.557Z", "prefix": 1, "track": "ux", "learningObjectives": [ @@ -35,6 +35,6 @@ "summary": "

Durante este reto profundizarás en temas de investigación de usuarios, identificación\nde problemas que puedan estar afectando la experiencia de quienes utilizan la plataforma\ny diseñarás un flujo de pantallas que resuelvan esa problemática.

" } }, - "cover": null, + "cover": "https://raw.githubusercontent.com/Laboratoria/bootcamp/main/projects/01-design-detectives/thumb.png", "thumb": 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} diff --git a/dist/projects/design-lab.json b/dist/projects/design-lab.json index 8c0c24286..47a1f9d8c 100644 --- a/dist/projects/design-lab.json +++ b/dist/projects/design-lab.json @@ -2,9 +2,9 @@ "slug": "design-lab", "repo": "Laboratoria/curriculum", "path": "projects/03-design-lab", - "version": "7.0.0", - "parserVersion": "5.0.0", - "createdAt": "2023-09-04T20:11:50.926Z", + "version": "7.1.0", + "parserVersion": "5.0.0-beta.0", + "createdAt": "2023-09-13T14:13:00.688Z", "prefix": 3, "track": "ux", "learningObjectives": [ @@ -54,6 +54,6 @@ "summary": "

Podrás elegir entre resolver un reto de uno de los sectores que más perfiles de\nUX contrata o de un sector innovador donde el rol de UX se está volviendo cada\nvez más importante.

" } }, - "cover": null, + "cover": "https://raw.githubusercontent.com/Laboratoria/bootcamp/main/projects/03-design-lab/thumb.png", "thumb": 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O2T++L6GxMOhMAAQNcZNQEA6KhoMZy7CrJuA92kumK1a+v4XU+EH/G9DCOAjdAlQmhGW5zDUZHez5qyDNf19lkXOyPEdTDeMzB/Ef4+/dxnRU3gqjukdGUykhAYAOg6ATAAQIc10Qa6yeCorlgtSWy/p//8WWpSbMdhVW83ZUwL6Juqw98SJlOMog+uufZWldwd7YwQ7/noWxcT9GsU12SNa3hblpMYhLgfda2Fd4TAlk0AALrKqAkAQIc10Qa6qXWAo0Ks1IrVGDxsqg1qDBaPQuXv+NhtibnV4W+J7b9HxezJN1XL5453Rti153PHIyxQSZMnunr9ikl8pa/JDACUSQAMANBhG9bd2Ugb6Nwi/C19fdKoyI321jnFILG2z9RtNoVt3Xbq4yvX3rhuRMvnru/PeP+5r4GUa3yEuz7EM5Lr+fDEtreWOQDQRQJgAIAOiwHRCIFzyh0AR8Vq6eFvLdpb59qeEfrt/Q/rbI464W85qnO6F/yU1BY/rvWOTfoxygFwXAtMnhiu6ORiHwAAXSMABgDouNwBcM51gGMwbdQqVp9+7rMsAciBg+dGaq3XfsKA8bFb06bH70olG7XjoAlrVt2R/To7l9Imx6gCpl+jHAAHkyeGL55XtYIGALrk9gQAQKdt2nhX9pDgg4++H3gAEqFySZVt81VX8uz/y4o0KPE1o8V0U2IgPoLUNatuT6tX3v679XhPT/1YDVTH+4owMscEgvHlt6SFivf9zt8frN5bVPPE+tYnTn5XTGAax0CTx0Ettmu84nioPu8F7fUgec4JJP2qOyfEa/26JWnrlqU3/Pvxfb3/9kPV93T1uOl9FMb0J+5Xg7z+MRrGRnzd9+q+dfLbtG3LPYnhqFtBx3MEAEAXCIABADpu/cNLUm4R4OxIgxNBytN//iw1bXZQFQN50zOXhhL+RQCy+4WxgVU0RdVnbvFe4z1H8NtPFW0cQ7Gt3+0NYB89fnGooWt8L9ueWlq9QgnBXrznaKfelDgGtsY27IURcT7dTOz/eL1+5EK1jZtSn+/xfiPsrYPffsTX2bnq3rRz+73Vr+P7qL6fgiYRNKGegFF6NT4M2ku9ZwcB8HDFtcv1CwDoCgEwAEDH1VV3OUOrQbe8a6pNbWyXCGue2Hh3NVg3V+AawVRU1sTgahPvq26DOqgquAigcor3uef55YsKrOvgLULXCOKiimYxxgdYDXa9YC/C1CaDysWK46mJYzcmAUzsG1/wsVDv/9jGcT2Ja0DuauU453NWas2eDNH0NWQh6hB8dvBdT34ZVnV2TLYQoLAQa1bmqQCefX6sf/jO6t5ytZvBrOtcNWksOhp8+H364OMfhjLxI87XeA+lt8OuJmltWVrtjzX/ekfa8PCv167Y5rENhtnBI54PNqkCBgA6QAAMAFCAscwB8KmPBxcSNNGmtq5WnW9oWYdTe3r/Jt5bDO7lHlQcVBXwsbe+yfZeYxD8zb8+MPD234P4ejkHwCOYerf36lIAnPucGuSxEF/r1UP3px3bl6Vdez7Pdvw2WalVX0MiGBpGG+5rzbdCO+4bUZHfdGV2l84tyhLnad0RoF7KYCFmX08ikH3plZnGzvm6pX6pkydigljdaWQu9f6qO3g09cw2mypgAKAryp42CAAwIh4dcEB3ragWG8jXaaBNbQzIxXqd/VQphqhQjKrBDbm36S9VwIsV4U0O1Xq5b+TZDvE1S69galIMgOcc/I79FefUoI+FukJ3zcp885KbbIs9bHFORbX+uf9ZXW3XmNBys3Cr7pIQfz9C+Zz7Yra6khHma82qO9JiffKPVdW17NCB+6rjfqHh77XimhjnTXzdps6dDz78PpVk9nXrzb89sOBQNfbjJ/+9qvF1xQfx/AYAkJtRFwCAAoyP5X2sq1sfLlbuNrVRUVgFSosc1I1/H4PEuas7ogp4sXK1cI3B1MVuxxvJ+bVHTVSg5RL7Kc6pXIF97q9fV2qVrA5QIgTpd+JLqIPgpoKsQS8tADdSt3rOIb5unH/xDJLbIDuyDFtU8S5mwt5s8TUi2G/K0bcumsQCALSeABgAoABNDNhPz/ycFiMG+ycOTqdcYuD1tUP/kgYpqlFybtsYPFxMOFW3gxy0GIiN9tk5LSZcFx7/Ks6rnOu4RhV47mrt2J85q7dirchSRbvUxQa/s9WBfBP3lA8+KquSkbwWO9Etd1ePEM8guSeOlTChpb7OVM9YA7yfx3NLVGQ3RRUwANB2AmAAgAKsHkBrxJuZPLO4APjAwXytWGNgd9Dhb4hA5dXDeQcTFxNOncrUCrKJgfJYf5HFyxluDqJF6nzFwH2u0LENa/IOWh2gHJ74w8AD+txV2TUVwCzEYo/HJu5rIQLInOfOoJbkGJZ6mY5cQXnct5qqBH7tjfLuLQBAWQTAAADMy+mpH1O/YqA/VwgTA61v/vWBlEsMUuas6FnMdpm5kGcguInQL3eV1KiINpS57N/X7JqKuarOF1tp3zbR7SB3i/q4BuTuApBzOQDKtJhgtanW5rnPnUEtyTEM0emhicklsf2beMaIZ9vSlxgAALpNAAwAUIA1K29LbZY1pMq8Vm39f+SymHBq8p95ApTcg7Mh9lm//09TA/ldkKv9c6zN2HSr7R1/yrd+5gcfltFuOCrbottBE+dotJdWyUibjC3ieFz/SHNdJ57YeHfKabFLcgxLtKpvSu5K7Nq7J79NAABtJQAGAGBeFtOuM9c6aU1UqYXcVcD9DiDmqgJqqrqoqZacpYrwN9e+2rplaWpaDNbnOs9OfZxvneSmROVcE9e7Ws79EbpaxUg3NXm/ifNmtYlKQ9XU86EKYACgzTyRAgAUYE0DawD369hb32Rr9bm/wWqSGNDNNdAXX3d/ao+jxy+mVw+l7LZuuSf1Y73guHL6TP9t2W9mw5DWaI6QJsd5lqtSuikRZgyjbXqcozk7OMBCrO2dB6f7eJ6IyQxNVIPOtnnjXUWuP94l0cXg8Cvns042iftVfP2mjy8AgPkQAAMAkFWEiTlEILJze76WsdeqWjoenE45tC2cisHM149cqNYazSmqc5qsaCzNqQ/zHDcxkD2s6uz1mYLnxXQwGGXW6qYEw7iebXjYRKVhi3tZPGNMZHp2q504+W3a1ueENgCAnExRAwAgq1wBcNPBRPx/uSo8InCdnMpXzdmPPfu/Epq1XK6qpqbX/p1txdgtKQfthvuzmLW6YdD6vTYN4xgeG7stMXxRBZzbu9pAAwAt5Sc5AACyiaqIXMHLjgarf2tZ1wHuYwAx56B27LfNz34qBG6xXPtmmIHf6pX52tkLgfszzAkBMAjDqGRfs1IA3Aa51zIPXV9iAAAol5/kAADI5limtSObGNC7npxBSD9hXu4Ko3hPjz55Nk3sG2+kioaFyRVoDjMAzjqpYeZn1ax9WLPydgEHrbD7+bG+Jn9tsG78SNv21NIsa8vXXB8BgLYSAAMAkE2uAbfS1icNk2cWHgA3sR0iZNwz8VU6/NfzVRA8jMprmjU+JiTlV44H2kKQSz92/GlZ9RyTS72Mx5pV+TpYAAD0w09yAABkEQNiuaoihlH9G3K2dOynArjJ1qzx/nbu/SKtfWwqvX7kQoIccrZpNjgPMHq0gQYARpUAGACALE59+H3KZf2QqoByBkj9VADHoObqlc029ZkdBO/a+3k6cTJfW0WGY3pmeGvlRptmABik3NXjM9aYBwBaSAAMAMC8LHTtzHczrrc2rEq+NrZCfXrL0jQMEQS/duTrtPnZT4XBQ5JrPdt+JiMMysyF8tY1BmC4Nm1UAQwAjB4/BQMAMC8LDT9zDoYNax3AnCFSPy2gw9Yt96Rhmx0Gr/i301UYfPT4xaztfMk3IWGY+23yn3nC5ybbpQPQLusfXpJy8rwDALSRn4IBAAowOfVjym1sgeFnrirCCGEjYOSKWNcutklbBh/jfUQYHK+w7amladuWpemJx+8Wwg1YtgrgXqAf+3EYVbMnMnUOWLPSsQcwquL5I+ezUr+T+AAAcvJTMAAA8zI+dtuC/n6uCuA6YORXe55fniYOTqc2OvrWxeoVIqzeuf1eYfCArF+Xr6LpxMlve8F989Xlua4bw+oaAEA7jGUMgFUAAwBtpAU0AEABcq2bOdtCqgENhDVr9wtjnVjjNKo7d+79olozePMzn6bXj1xI9C9niJ5zDe+5RPibq3PAegEwwEh7NON9wHMvANBGpt0DABTg3MzllNtCwqZTH36faE6Ev68evj89/efPUldEGByvqFyOyuD9+1aoCl6gnFWtUWV/6MB9qUkvvTKTctmwLu/6j0C3RYA3PfNzGpTpCwLBthkfyzdRbnrG/gYA2scICwBAAU5nXgM4AsYuVJiOslhrd88Ly9Phl8+nLol1816burJmcLSHFgTPX5yTq1fenk5nqJqNMCQqtHdsX5aaEMfBiZN5qo4jKHdMwWib7D0nnXjv++p5KToNRGBXt5zP1XmAdsm5FrwKYACgjfwUDABQgNwDTwsNTybPDK6KZlQMImCP8DRCtFzrqOYWIbAgeGGe3rI0HX4lT+gf1dlbt9zTyOSPAwfPZQthosIcGB3xTBSdSI69dbG6H8ZLQIeJjADAqPH0AwBQgKiey2mhVRMzMwLghRpE2BmDm2/+9YGsVS5NiBB487OfppdeztcSuBQR0OYS15UDL55LuR3thTSxz3PZ/fxYAsoWAe/R499U68uv/eNU7x7yv9XkmFhqQPhLGBu7LQEAjBIBMABAAXK3L1xoOGmwdeEGVZkS++qdvz/Y+RA4wsc9E1+ltY9NZZ/g0GVR3ZqzqikClGgFnUtU5u3a83nKJbaPSnIoVzxvxESVCH2ffu7/BL4AAPALATAAQAFyB2RPaKGa3SBDvFJC4BDH9qNPnq2qRLm+Pc8vTznt3PtFlmrsEye/rar1coY1O7bfm4DyzA5+o1290BcAAH5LAAwA0HEx6Jl/DeA7EnkNukoxvt77//VQtZ5u18Xx/fSfP2ukHXEX7X4hf4vjqMbeu//LgUw2if0ZXytatOa8dsU5sHP7sgSUJSaPPPrvZwW/AABwAwJgAICOO/Xh9ym3DevuXNDfz92SukQ52vjG13z10P3Vq4Rq4BjsFwL/XuznJoL+aAddr83cTxAc16q6Yi++Vm77940noCxx/YnJI54zAADgxiyGBADQcR989EPKaZP2z41Yv8CQfSEiHIz9eODgufTaka9Tl0UIHJWdO1R2/sb+fSvS0eMXs1fD1WszxyuOqZgcsn7dkmqCwfjyW9L42K2//L2fq/dyeurHdOrjH9KJk981Gthse2qp6l8oTEwgiXsAtE2OSXwAAIslAAYA6LgT732XctrQRzBZQrVp08bHbks5RWgalcARFHY9CN6z/6v0xON3D7xtdpfFtoi1gJsMR+Lak/v6048YiD904L4ElEP4S5vVk58AANrEiAkAQMedylwB/ETLKoAj6CqxKnlDxgrg2a4NgpuuzByEak3g5z5L77/9UOJX+/+yIh1962L2a0LbxXYwOQDKEW2fhb8sVnSkyMXERwCgjTyhAAB0WAQ9ucO7TRvvTm0TASaLUwfBEaZG6+CXXpnpVHAY7zVCgd0vjCV+9eZfH0iPPnk2eyvotorwNyqhgTJE23nhLwAALJwAGACgw949+W3KKSpt+1nXLOdaaNMzoxls5RL7KtYIjlcVqvaC4K5UBUcosONPy6y9N0sE+2/+7YG0+ZlP06iJdX8n9o0noBx79385lAkt1brmY7dW95fqtcAWvxFct7FF/ijL+Vyj6wQA0EaeUAAAOizaveYUgUo/xjKuZxsDwZNTP/YG2+5IDFa0oa6rqyMMPnb8m1a3FI5j4fX/vKAK+BoxcSP24669n6dRUR27h3UGgJKcOPlt9uecUE+EWr9uSXX9HESYF+/9xLP/m2iPCOVz0QIaAGgjTygAAB3VRHXJ1i33pH6sGLsl5RSBpAA4rwjU4hUtdeNYO9oLg4/1BuLbVtEU4YAA+PcizAijEALv2L4sHT7wB5XgUJgDmVs/R9C7f99473q5LFG+TzIGwOt7z0sAAG0jAAYA6KjcQVyEf/1Wwax/eEnK6fRU+9sTlySOgz29kDVe9cSD149caEUYHO8hKoGFf78XIXDsu117Pu9ES+9+RPh/eOIPCRiOtX+cSgu1aeNdV7tNzCX3JLd4xnnn7w+6d4yIeE44nfE+OJ6x8w0AQL8EwAAAHXXgxXMpp93PL0/9WuhaeQt16uN2tiQeBREo7lx1Zc3gtoTB0WpzW5/V6qWLdqYRcsSawCWFwBHaRMvnftvUA4sX3Tj6ua7MpxVvLEGQS9zHhL+j5dSH36ecNqgABgBayNMuAEAHHXvrm+xhzqbH7079ikHVnAOrR4/nXxOQm6vC4F4QHAPpn/xjVVXRNYx18D5o6RrFbRH76ZP/XlW18y5BhNrvv/2Q8BeG7PSZH1MuOdf+fecN4e+oyfmcEOGv4wkAaCNPKAAAHXT45fMpp7p17GIs9t/fSLTym5zKN/DMwtVhcASNTQfBpbY3HrSJfeNVUN/V4LSu2otXzusLMD+nPswXquXqKhHXP9eP0ZOzS8kwJr4BAMyHABgAoGOi3W3udrs7ti9Li5W7Hd4xVcCtVQfBTVWcTloTet4i+DjVsYrpeM+vHvqXKryO6l+gHXJdS3Jeo7Zu0TlgFOV8bnZfAgDaSgAMANAxu/Z+kXKKsGUQg1kbHs4bAOdsD8lgRMVptOrNXR2jAnj+Xnp5pjPbq16/OILfnQOYlAIMVq5rSc7W0hvWLUmMlpg4GZ1jcln/iGMKAGgnfUoAADqkifBmfy+0G4QnNva/hvB8RDVHDOhZd63dohI8QrxHnzybdQCWm4tK6cOv5G0fv1gR+m59amna+adlzm1ouVyVupP/zPeck7s7Ce3z+htfp1ziPqUCGABoKwEwAEBHRHgzcXA65XRlHdfBVNrFIGsMjOUM/SIQb6rNcBvFMdFPW8PYL9sabIMZx9We55dnP365sQMHzy1oAkl9nETIkyPoia8f14l4xYSRGEQX+kI35GzTnOu5wdq/o+nESe2fAYDR5OkXAKADYjB08zOfZq+gHFT1by2CnZzrrkU14+4XxkY2NJqc+jHt2vt56sfls2tTk2I/xf5SBTwc0QLztSMLq4KK8/fVQ/df/XUEPhEgT/7zx3Q6Pk79dHV/zrUOcwQucX6Oj91afVy98va05l/vqFrEC2Ogu3K2adbWn0GJ+17O48ma0gBAm/mJGwCgA3bt+Tz7gOi2aLs64HU242vmDIAjfBr1KuB+RXi8ZtUdqSl1m8QcazfnXmO4BP2sHX5tq9S6WhcgZ1VlLtMzJiCNmgMvnks5bXo873InAACLob8WAEDLRYVnjtDsWocO3JcGbeuWe1Juo1xVOnOh/+978szPqWkqPocjBsD7mUAiWAfmkrMFdC46UIyW3NW/ManNcw0A0GYCYACAlqrbPi+0bWs/ooI2xyBWfM3VmUOk2E5RId1mdaXyoJ2buZz6dXoqX/vOueRq1a0qdW7RmjkmSfRjtYFtYA5ztX1vu8mG7n0fdDAgL0kcn7mrf3dsvzcBALSZABgAoIVi4OrRfz+btX1yLULaiQGv/TvbrgYGyKJCOkfAulgR/MYA5No/TqU9E19lH4xciGEM3ueqGFOpOrcDB8/1XfXWZItwoDvimtLVdXrfbeC5Kp5H4p7P8MS9L+cxGs/Og142BQBg0ATAAAAtEwOHjz55trHB1XfeeDDltPuFsdSEGGxtIjCfj9nB78TB6asBXFRiDjJ4nZnpv43zMAbvcwXA6x9Zkvi9Ux9+v6gOAiqrgeuJa0tOubpFhNytq/fu/1L4O2Tx/JW7e862p5YmAIC2EwADALTEiZPfVi2fY+CwqXXqcrV+ni0GcmOdtCY8/efPhrou4VzB7+w/jzWdB/n/9avpCuA4vnOFzoLK63v6uf9L/bJNgbnkbm+cs6tDBIM5nrHinhrPcP223GcwXj9yoXr+ym33881MbgQAWAwBMADAENVrw8ag4eZn/7fRCtaoXsjZ+nm2CJqbENszqqebbgddrzU3V/A7W+zjGKActqYrgHft/SLlEJMLclaLdVWEHIvZx7YpMJfc94+xsdtSLvVz1yDVnVva0oVkVMV+2JnpWWO2JiZPAgAMgicWAIAGxcBjtE6M6plYtzaqVZuq9p0tBq4OHbgvNSVCung1NTgaVdSnPv4h7d+Xb5Au9tvR4xerMHeh39ee/V+lrVvuGWrI1mQFcFQ95woMdjSwxnQXLXa9aRXAwFxyd9rIff2JKt24By/2/4n7aNzfBL/DFc9j0Xo7d9vnUK39+6znDgCgGwTAAAA3UA3qLSJIiUGpKvSNoHfm0lDWXb1WDF7Fur9NVy9ExcSJZz5NTYmBwHjt7AWEgwqC69D33fe+rT72G97XraIXG8Iv9nianPqxt13uSLk0MTi+6fG7E7+12OrfkLMFKzA4MQnp3ZPfpiblDoBzP5/EPfjp5z5Lb/71gb5C4LqKuIlWw8yt3g8R6De2dMq+cdW/AEBneGoBALiBCK5KquyIitMY8BzG4FXTVcC1OgiO/zvaXq9ftyRteOTOm1bfxmDi5D9/TKc+/rEKfE+c/G6gAX5dgdTU+sjXM3nm5ywBcFODshHuG4j9vcVW/4b1jyxJQPs1UfXYtLg/RzCbM2iOCUrRtnm+k8TqDi4HeqGvit/+xHPUfJ6/bv51vu09l33XaPAb4ljZuX1ZAgDoCqMlAEAnXVuJyc3FgNs7f39wqK1dXz10fzXgOoy219eG+bE9YsD32oHIGBSuK7dzi+rYT/6xKvUrqsoXo1oH8XIayIBsaHpQNgbtB60e5M85wB8Ve088fneW8Dr2wSAmKowvu6WqEG9azor0nOK4iXAjV2AV53p8/U0bm50wUk2EydQuPrZVtG3d+tQ9jX9fTYht9/p/XihuIllTYnJU7krjUE8Siwli8X+u7l2D6vthXEtP966Dsf+GtWTH9eza+0X1fmMSWZcmQW1+9koXmHgOjS4T8d7jY0zMC2tW/X7t5yvdc36u9kMs7bGY7iuLEe81xzMHAEBOt1w+u/ZyAgDogAhlIlyKtXMNpi5MG8LfWoSDMejPFRP7xqv22P3Y/MynAzsX6gHZ+BiDsVcC8tvS+Nht1w2HIxyMgdk4J2NQdtAV0jez+4WxdHjiD2kQ4ns51htUbnpd7hhQjsBhx7PLBhaAxaSCUioC43gcH7v16mSNOihYs/K2tKEFFcrDuCfVx0yEptu2LE05DPv7inNhmOujL0ZMwDj2y3ZrIrzsqtjX8UxyI7ENNze4bERXxblThcEDmkgR94+4j/Bbb/7tgWo7AwB0iQAYAGituhIvBlNjQKotlRddE4OD/a5zl8sgg8uui6Dj/bcf6quKZ1S342LXsZ59bYlqojaszR0iFIkWk4upDl77x6nWfD+5xfaK61pTFaR1lW90nmjLPSkCiQiCF3PMtPFeO4hzoQmDWhd+1MwnAA4r/u20bboAg5hUJAD+vZikF5P1AAC6RgAMALROtJuMwac2tdvrqghHhrXm743EPo7wclSCqpuZ72D4tUY1AI5t1c/ayXE9efrPn3Xi2hLn7J7nlleVzvMV31MEJqMqAsMclbH1Pant51pc76PN/nwn+3TlXhvfTwQwbaq+i+roaKFvIlN/5nvPi/XMJw5Opy7bsX1ZuiVdbrwzQ0wui2vioQP3LejfCYB/S/gLAHRZN/sqAQBFm/xlvTXh7+LEoGMMsLaxeqqqSv7bA51t85lDP8f7J1OjF6DHYGw/4W+o1lHtyLUlwrlorb0Qi10TuusiuHj6uc/S2semqnWWB7V2bX1ParsIcj/46Pt5//2u3Gur7+vD+X9fTfgg8zrhXLGQCTBtFJMWXjv0L2nDw813YKmq09+6mOhfPEcLfwGALjPiBgBQmAhVo+IjBh3bHLBGVddCK1NKU++rCOqF4TenEufGYr1croTnO/d+kTY/+2kVB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} diff --git a/dist/projects/emergency-room.json b/dist/projects/emergency-room.json index 50226e99d..f80ba8c56 100644 --- a/dist/projects/emergency-room.json +++ b/dist/projects/emergency-room.json @@ -2,9 +2,9 @@ "slug": "emergency-room", "repo": "Laboratoria/curriculum", "path": "projects/02-emergency-room", - "version": "7.0.0", - "parserVersion": "5.0.0", - "createdAt": "2023-09-04T20:11:50.894Z", + "version": "7.1.0", + "parserVersion": "5.0.0-beta.0", + "createdAt": "2023-09-13T14:12:56.112Z", "prefix": 2, "track": "web-dev", "learningObjectives": [ diff --git a/dist/projects/fleet-management-api.json b/dist/projects/fleet-management-api.json new file mode 100644 index 000000000..3061e0958 --- /dev/null +++ b/dist/projects/fleet-management-api.json @@ -0,0 +1,62 @@ +{ + "slug": "fleet-management-api", + "repo": "Laboratoria/curriculum", + "path": "projects/05-fleet-management-api", + "version": "7.1.0", + "parserVersion": "5.0.0-beta.0", + "createdAt": "2023-09-13T14:13:08.316Z", + "prefix": 5, + "track": "web-dev", + "learningObjectives": [ + "node/npm-install", + "node/package.json", + "node/npm-scripts", + "node/process", + "node/filesystem", + "db/modeling", + "db/connection", + "db/indexes-constraints", + "sql/tables", + "sql/crud", + "sql/drop", + "postgres/psql", + "postgres/data-types", + "postgres/dump-restore", + "postgres/indexes", + "react/jsx", + "react/components", + "react/events", + "react/lists-and-keys", + "react/conditional-rendering", + "react/lifting-up-state", + "react/hooks", + "react/css-modules", + "react/routing", + "vue/instance", + "vue/data-and-methods", + "vue/components", + "vue/props", + "vue/directives", + "vue/iteration", + "vue/events", + "vue/computed-props-and-observers", + "vue/routing", + "vue/classes-and-styles", + "angular/components-and-templates", + "angular/structural-directives", + "angular/input-output", + "angular/services", + "angular/routing", + "angular/observables", + "angular/http-client", + "angular/styles" + ], + "intl": { + "es": { + "title": "Fleet Management Software API", + "summary": "

En este proyecto construirás la API REST de un\nFleet Management Software\npara consultar las ubicaciones de los vehículos de una empresa\nde taxis en Beijing, China.

" + } + }, + "cover": "https://user-images.githubusercontent.com/110297/136462570-852fcc55-e363-4262-a8f3-6bb65702e75a.jpg", + "thumb": 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" +} diff --git a/dist/projects/fleet-management.json b/dist/projects/fleet-management-fullstack.json similarity index 99% rename from dist/projects/fleet-management.json rename to dist/projects/fleet-management-fullstack.json index 1f1498dca..082b72dba 100644 --- a/dist/projects/fleet-management.json +++ b/dist/projects/fleet-management-fullstack.json @@ -1,10 +1,10 @@ { - "slug": "fleet-management", + "slug": "fleet-management-fullstack", "repo": "Laboratoria/curriculum", - "path": "projects/05-fleet-management", - "version": "7.0.0", - "parserVersion": "5.0.0", - "createdAt": "2023-09-04T20:11:52.896Z", + "path": "projects/05-fleet-management-fullstack", + "version": "7.1.0", + "parserVersion": "5.0.0-beta.0", + "createdAt": "2023-09-13T14:13:08.269Z", "prefix": 5, "track": "web-dev", "learningObjectives": [ @@ -53,7 +53,7 @@ ], "intl": { "es": { - "title": "Fleet Management Software", + "title": "Fleet Management Software Fullstack", "summary": "

En este proyecto construirás el frontend y backend de un\nFleet Management Software\npara visualizar en un mapa las ubicaciones de los vehículos de una empresa\nde taxis en Beijing, China.

" } }, diff --git a/dist/projects/how-might-we.json b/dist/projects/how-might-we.json index ef61cda36..32ac97bbc 100644 --- a/dist/projects/how-might-we.json +++ b/dist/projects/how-might-we.json @@ -2,9 +2,9 @@ "slug": "how-might-we", "repo": "Laboratoria/curriculum", "path": "projects/00-how-might-we", - "version": "7.0.0", - "parserVersion": "5.0.0", - "createdAt": "2023-09-04T20:11:49.825Z", + "version": "7.1.0", + "parserVersion": "5.0.0-beta.0", + "createdAt": "2023-09-13T14:12:50.677Z", "prefix": 0, "track": "ux", "learningObjectives": [ @@ -22,6 +22,6 @@ "summary": "

La reciente pandemia del COVID-19 ha impactado todas las áreas de la humanidad,\ncausando el retroceso en algunos de los Objetivos de Desarrollo Sostenible que nos\nplanteamos como sociedad. Hemos identificado 4 retos principales que impactan de\nforma negativa el progreso hacia el objetivo número 5 de la ONU, enfocado en lograr\nla igualdad de género y empoderar a todas las niñas y mujeres del mundo:

" } }, - "cover": null, + "cover": "https://raw.githubusercontent.com/Laboratoria/bootcamp/main/projects/00-how-might-we/thumb.png", "thumb": 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} diff --git a/dist/projects/job-application.json b/dist/projects/job-application.json index 4524568c3..fd6f83738 100644 --- a/dist/projects/job-application.json +++ b/dist/projects/job-application.json @@ -2,9 +2,9 @@ "slug": "job-application", "repo": "Laboratoria/curriculum", "path": "projects/06-job-application", - "version": "7.0.0", - "parserVersion": "5.0.0", - "createdAt": "2023-09-04T20:11:53.821Z", + "version": "7.1.0", + "parserVersion": "5.0.0-beta.0", + "createdAt": "2023-09-13T14:13:12.708Z", "prefix": 6, "track": "web-dev", "intl": { diff --git a/dist/projects/md-links.json b/dist/projects/md-links.json index ce15600b9..e20cefc83 100644 --- a/dist/projects/md-links.json +++ b/dist/projects/md-links.json @@ -2,9 +2,9 @@ "slug": "md-links", "repo": "Laboratoria/curriculum", "path": "projects/04-md-links", - "version": "7.0.0", - "parserVersion": "5.0.0", - "createdAt": "2023-09-04T20:11:52.027Z", + "version": "7.1.0", + "parserVersion": "5.0.0-beta.0", + "createdAt": "2023-09-13T14:13:06.225Z", "prefix": 4, "track": "web-dev", "learningObjectives": [ diff --git a/dist/projects/memory-match.json b/dist/projects/memory-match.json index 5459d40ba..2a66bc772 100644 --- a/dist/projects/memory-match.json +++ b/dist/projects/memory-match.json @@ -2,9 +2,9 @@ "slug": "memory-match", "repo": "Laboratoria/curriculum", "path": "projects/02-memory-match", - "version": "7.0.0", - "parserVersion": "5.0.0", - "createdAt": "2023-09-04T20:11:51.005Z", + "version": "7.1.0", + "parserVersion": "5.0.0-beta.0", + "createdAt": "2023-09-13T14:12:58.659Z", "prefix": 2, "track": "web-dev", "learningObjectives": [ diff --git a/dist/projects/mindset-mvp.json b/dist/projects/mindset-mvp.json index 0bd9e5094..58cfebedf 100644 --- a/dist/projects/mindset-mvp.json +++ b/dist/projects/mindset-mvp.json @@ -2,9 +2,9 @@ "slug": "mindset-mvp", "repo": "Laboratoria/curriculum", "path": "projects/02-mindset-mvp", - "version": "7.0.0", - "parserVersion": "5.0.0", - "createdAt": "2023-09-04T20:11:50.994Z", + "version": "7.1.0", + "parserVersion": "5.0.0-beta.0", + "createdAt": "2023-09-13T14:12:58.410Z", "prefix": 2, "track": "ux", "learningObjectives": [ @@ -49,6 +49,6 @@ "summary": "

Trabajarás con tu squad haciendo consultoría UX a una startup. En este proyecto\nliderarán el 100% de los espacios con clientes (workshops, weeklys,\ncomunicación, entregables, etc). Este proyecto es abierto y podrá incluir\ntrabajo con otros perfiles como desarrolladoras, product managers, etc.\nAnteriores retos han incluido empresas como Kmimos, Guvery, Sinenvolturas,\nMagical Startups, Laboratoria, entre otras.

" } }, - "cover": null, + "cover": "https://raw.githubusercontent.com/Laboratoria/bootcamp/main/projects/02-mindset-mvp/thumb.png", "thumb": 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} diff --git a/dist/projects/movie-challenge-fw.json b/dist/projects/movie-challenge-fw.json index 730d8132f..35e3b5b8f 100644 --- a/dist/projects/movie-challenge-fw.json +++ b/dist/projects/movie-challenge-fw.json @@ -2,9 +2,9 @@ "slug": "movie-challenge-fw", "repo": "Laboratoria/curriculum", "path": "projects/05-movie-challenge-fw", - "version": "7.0.0", - "parserVersion": "5.0.0", - "createdAt": "2023-09-04T20:11:52.881Z", + "version": "7.1.0", + "parserVersion": "5.0.0-beta.0", + "createdAt": "2023-09-13T14:13:08.514Z", "prefix": 5, "track": "web-dev", "learningObjectives": [ @@ -77,7 +77,7 @@ "typescript/basic-types/enums", "typescript/narrowing", "typescript/classes/members/fields", - "typescript/classes/members/constructor", + "typescript/classes/members/constructors", "typescript/classes/members/methods", "typescript/classes/members/getter-setters", "typescript/classes/class-heritage/implements", diff --git a/dist/projects/movie-challenge.json b/dist/projects/movie-challenge.json index a28b554e0..97df5b68f 100644 --- a/dist/projects/movie-challenge.json +++ b/dist/projects/movie-challenge.json @@ -2,9 +2,9 @@ "slug": "movie-challenge", "repo": "Laboratoria/curriculum", "path": "projects/02-movie-challenge", - "version": "7.0.0", - "parserVersion": "5.0.0", - "createdAt": "2023-09-04T20:11:50.915Z", + "version": "7.1.0", + "parserVersion": "5.0.0-beta.0", + "createdAt": "2023-09-13T14:12:58.659Z", "prefix": 2, "track": "web-dev", "learningObjectives": [ diff --git a/dist/projects/notes.json b/dist/projects/notes.json index 2fd0c181e..2fb44913b 100644 --- a/dist/projects/notes.json +++ b/dist/projects/notes.json @@ -2,9 +2,9 @@ "slug": "notes", "repo": "Laboratoria/curriculum", "path": "projects/04-notes", - "version": "7.0.0", - "parserVersion": "5.0.0", - "createdAt": "2023-09-04T20:11:51.890Z", + "version": "7.1.0", + "parserVersion": "5.0.0-beta.0", + "createdAt": "2023-09-13T14:13:05.937Z", "prefix": 4, "track": "web-dev", "learningObjectives": [ diff --git a/dist/projects/open-project.json b/dist/projects/open-project.json index 8e5ea527e..2e829d756 100644 --- a/dist/projects/open-project.json +++ b/dist/projects/open-project.json @@ -2,9 +2,9 @@ "slug": "open-project", "repo": "Laboratoria/curriculum", "path": "projects/05-open-project", - "version": "7.0.0", - "parserVersion": "5.0.0", - "createdAt": "2023-09-04T20:11:52.866Z", + "version": "7.1.0", + "parserVersion": "5.0.0-beta.0", + "createdAt": "2023-09-13T14:13:10.272Z", "prefix": 5, "track": "web-dev", "intl": { diff --git a/dist/projects/roman-numerals-slack.json b/dist/projects/roman-numerals-slack.json index cef17711b..28b6ee40e 100644 --- a/dist/projects/roman-numerals-slack.json +++ b/dist/projects/roman-numerals-slack.json @@ -2,9 +2,9 @@ "slug": "roman-numerals-slack", "repo": "Laboratoria/curriculum", "path": "projects/05-roman-numerals-slack", - "version": "7.0.0", - "parserVersion": "5.0.0", - "createdAt": "2023-09-04T20:11:52.865Z", + "version": "7.1.0", + "parserVersion": "5.0.0-beta.0", + "createdAt": "2023-09-13T14:13:10.274Z", "prefix": 5, "track": "web-dev", "learningObjectives": [ diff --git a/dist/projects/roman-numerals.json b/dist/projects/roman-numerals.json index cf8a7d750..a4f7e8b38 100644 --- a/dist/projects/roman-numerals.json +++ b/dist/projects/roman-numerals.json @@ -2,9 +2,9 @@ "slug": "roman-numerals", "repo": "Laboratoria/curriculum", "path": "projects/05-roman-numerals", - "version": "7.0.0", - "parserVersion": "5.0.0", - "createdAt": "2023-09-04T20:11:52.888Z", + "version": "7.1.0", + "parserVersion": "5.0.0-beta.0", + "createdAt": "2023-09-13T14:13:10.298Z", "prefix": 5, "track": "web-dev", "learningObjectives": [ diff --git a/dist/projects/social-network-fw.json b/dist/projects/social-network-fw.json index c53ded949..0c3c23043 100644 --- a/dist/projects/social-network-fw.json +++ b/dist/projects/social-network-fw.json @@ -2,9 +2,9 @@ "slug": "social-network-fw", "repo": "Laboratoria/curriculum", "path": "projects/05-social-network-fw", - "version": "7.0.0", - "parserVersion": "5.0.0", - "createdAt": "2023-09-04T20:11:52.951Z", + "version": "7.1.0", + "parserVersion": "5.0.0-beta.0", + "createdAt": "2023-09-13T14:13:12.331Z", "prefix": 5, "track": "web-dev", "learningObjectives": [ diff --git a/dist/projects/social-network.json b/dist/projects/social-network.json index abd4fbb0b..1813723b4 100644 --- a/dist/projects/social-network.json +++ b/dist/projects/social-network.json @@ -2,9 +2,9 @@ "slug": "social-network", "repo": "Laboratoria/curriculum", "path": "projects/03-social-network", - "version": "7.0.0", - "parserVersion": "5.0.0", - "createdAt": "2023-09-04T20:11:52.033Z", + "version": "7.1.0", + "parserVersion": "5.0.0-beta.0", + "createdAt": "2023-09-13T14:13:00.984Z", "prefix": 3, "track": "web-dev", "learningObjectives": [ diff --git a/dist/projects/text-analyzer.json b/dist/projects/text-analyzer.json index 07078ee50..1523f1d33 100644 --- a/dist/projects/text-analyzer.json +++ b/dist/projects/text-analyzer.json @@ -2,9 +2,9 @@ "slug": "text-analyzer", "repo": "Laboratoria/curriculum", "path": "projects/01-text-analyzer", - "version": "7.0.0", - "parserVersion": "5.0.0", - "createdAt": "2023-09-04T20:11:49.989Z", + "version": "7.1.0", + "parserVersion": "5.0.0-beta.0", + "createdAt": "2023-09-13T14:12:56.390Z", "prefix": 1, "track": "web-dev", "learningObjectives": [ diff --git a/dist/projects/trivia.json b/dist/projects/trivia.json index 6259e4449..a06b27c9c 100644 --- a/dist/projects/trivia.json +++ b/dist/projects/trivia.json @@ -2,9 +2,9 @@ "slug": "trivia", "repo": "Laboratoria/curriculum", "path": "projects/00-trivia", - "version": "7.0.0", - "parserVersion": "5.0.0", - "createdAt": "2023-09-04T20:11:49.889Z", + "version": "7.1.0", + "parserVersion": "5.0.0-beta.0", + "createdAt": "2023-09-13T14:12:50.684Z", "prefix": 0, "track": "web-dev", "learningObjectives": [ diff --git a/dist/projects/uxploradoras-ui.json b/dist/projects/uxploradoras-ui.json index 71e3b4e92..e33bc3c61 100644 --- a/dist/projects/uxploradoras-ui.json +++ b/dist/projects/uxploradoras-ui.json @@ -2,9 +2,9 @@ "slug": "uxploradoras-ui", "repo": "Laboratoria/curriculum", "path": "projects/02-uxploradoras-ui", - "version": "7.0.0", - "parserVersion": "5.0.0", - "createdAt": "2023-09-04T20:11:50.933Z", + "version": "7.1.0", + "parserVersion": "5.0.0-beta.0", + "createdAt": "2023-09-13T14:13:00.996Z", "prefix": 2, "track": "ux", "learningObjectives": [ @@ -18,6 +18,6 @@ "summary": "

Este es un proyecto flexible que puedes adecuar según el contexto de aprendizaje\nen el que te encuentres. En conjunto con el equipo de Laboratoria, vas a elegir\nUNA de las 3 opciones disponibles, para poner en práctica técnicas y\nherramientas específicas según una etapa de diseño específica.

" } }, - "cover": null, + "cover": "https://raw.githubusercontent.com/Laboratoria/bootcamp/main/projects/02-uxploradoras-ui/thumb.png", "thumb": 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} diff --git a/dist/projects/uxploradoras-ux.json b/dist/projects/uxploradoras-ux.json index 3b1c90755..01064153b 100644 --- a/dist/projects/uxploradoras-ux.json +++ b/dist/projects/uxploradoras-ux.json @@ -2,9 +2,9 @@ "slug": "uxploradoras-ux", "repo": "Laboratoria/curriculum", "path": "projects/03-uxploradoras-ux", - "version": "7.0.0", - "parserVersion": "5.0.0", - "createdAt": "2023-09-04T20:11:51.941Z", + "version": "7.1.0", + "parserVersion": "5.0.0-beta.0", + "createdAt": "2023-09-13T14:13:03.927Z", "prefix": 3, "track": "ux", "learningObjectives": [ @@ -18,6 +18,6 @@ "summary": "

Este es un proyecto flexible que puedes adecuar según el contexto de aprendizaje\nen el que te encuentres. En conjunto con el equipo de Laboratoria, vas a elegir\nUNA de las 3 opciones disponibles, para poner en práctica técnicas y\nherramientas específicas según una etapa de diseño específica.

" } }, - "cover": null, + "cover": "https://raw.githubusercontent.com/Laboratoria/bootcamp/main/projects/03-uxploradoras-ux/thumb.png", "thumb": 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kILFqOlfr1XffFj7ugeKvUaBIDSCIABADrgyOG1y9pfbFxVm9m9Hy36/9PkRE+0jS1139/Z5guQ4phGaNTl4K+qTB4FK0LgPOKeKiEEqlvDlzgZfKNQMSb46yBpElZP+VG+VgcSXQ+B68UCqucm4+irnxVz/OPdIcbd0oLGeu/1+UR3knhudvFzT909rDE5rkEhMAB0n58aAQA6IKq5IgRuQ1RNxET0uJ545sPGQqqooIh9j4dirsnMSVUMLkVdXScEbk4dHPa16nc+JQYS892jVcvnX3c7SNow5t7jpajvqy6Oq3W72r5WnZYggqpooVzS8Y93uRI7dcz1eepFHtGdZFIW6rqweuqmNDTx3F/MzxMAQPsEwAAAHREtkffuWZXaEJM240waxqRpkxPq+59bXfy+v7PVxy8mnqN6pW8hQFXh+Ux5lUaTUFV+dzw4XI4IJGKSvuQQOKoI4zNOunJ7aAHvOKqgtWNjVX3Pl9omveviWoi2vKUtuKmVuEjr1OkrP/rnqhvJbye/7+yCAfCqYU6vxr1lH3MA6C4BMABAhxw6cE8re+PWk6I3EhOKTU6axr6/u566Ow3N2+981YnqleWIyT2t/panvgZK3/eznqwvJQR+++xX13/fpyrCNVMr0hA1vWXBctT3gr1+J6OuCo89WUtWWgg8c+uM2O/XPdRtXVx4AwD8QAAMANAxRw6tbaWSIKop5mvdVk+cNiWqfoey7+9sdVVk3yskIrzW6m9phhL+1koKgev7NkLFPlURDm0/yplirJp0taDwd/JKeO6Oq6QQuD5nVbeFDu33u1D3mqF1t5kprjvvhwDQTQJgAICOiUmkqJZtw3yt2yLsaGriOsLsN1+7Lw1VBBGlhADjtg7nB0MLf2sxrkTL876Lz9HFFrIb1914v8kh7kc50ySrgEurgu+juGeH1pa2DoH7ft3VVfzRbYH+iIU3xjwA6B4BMABAB+39/ar0dAvtkutW0DMnbaJdYpOtig8d/HknKiNiz8yN64ZbodGEcVqH82NxvIZaBRhjSVNVQZseum0i928s4OhjC9mh7kdZi/M2iSrgas/032mHOkkRHpbe9nk+cf01tfAm3ts2P3RralvcO13stjA1xpi6YcDvmHHeVAEDQPcIgAEAOupwBKctTCbN3N+16f0Tn90z1Zl9f3c9dVd673/Xp7//9f506MDPW9lruUSTClb6KO6loR+rvQc+bqQSLxbF1PdvtJOfRDDRJRvX35K4seMnvkhtqrdO0PZ5ciL47VOr9hyaWngT70gx3r73t/XV1iRDf2caeleFcTS5eBQAaIYSCACAjooKriOH1za6F+98YtJmx/Y7G239HNUjh0dBa9dEcBRfe0fhdATeEdBFUBC/qtoaT1wn2/4y3Lbe44i9nycRRMSikbj3Zlbdx3Ue1/akWqI+8cyHVZDQRFVqff9Gm/z6/o29Ii1K+LEh70dZiyAsrpO2qqGj8nLS4W99/8dnXj31w+euW/fHr6UG1E0vYBtXHOvZ1bL18Y4xdxLvFfHsiXe6JsaB+DN2rb+rWkQXn+X6O9Ppcra3aMqa0T13/v00WPX1YYElAHSHnwoBADosJlH27lmVDr+Yf1V9k20r+7Lv78yJzVCHScdOXJ54GByTyXH+o/Vt/L4OMeL7qsK8d75Kx0ch4ySCr7oK2CTf3Ko2nP/dzv63cV3s3L6ymuyP87FQ2FVP3sc13tbkfRyPqEhrem/z+YKJLty/pZoZdkXYGK31I2iM38++9uL6ivNw6vSVKghre6yqFz20MU5F2DyJtsPx2XY8vjJtfvjHz4mF1MFkPEdOjc5L/HPfw7w22+3HcY9tOuLXhULW6tof3QMvvPRpa99fvV3Dmw0v1KqeN6PrLb5CPebGtV/6mDvOvZVrsUmMr9WYO7rW4p0wxtxqLJ7VJagec98e3deT6tYS4713QwDojhVXLz5wNQEAnRHVC7mqxl459ItW9pVtyor730s5xARKtLTrk6gC7lOF26GD91QtW/tqUsc7JvSqttlP3jV25U5V9fR8+3sexgTfm5mqgGOy/LEn/5FyeO9v67K3z42J99zno75W4j5b6qRzfI9NVv3fSHyPUQXcRmXqxl9dSOc7EGbF5Py2rbenTQ+OJu5/ecuPFnFEIL7UMWbcZ1gTx2HmZ9i29Y5ltd6uK7bbuuZC3B/xPMopPlebrZ+buPfnkuu+iQUa0UI4pxjL2tifPoLPuJ6WOo7F9b97b3tBdTyj2wjjuvKOWi+IivEqWjbX5ynG3DqoXqpx3h1iIWV0/1iO+Axxzh4dfS12Ycdc2nzOh5zvhgDA4qkABgDogZg83fKbi72osIjJ3j6Hv5MQk5T7n1u9pP2S4/8b18f+59a0GkKoAp5bhEG5w98451Fhv9wwNe7VOH9tLCCIsSv+ntxB0KTV4Vwc1xvdG+f/75vOL+qJc1V3R2hCXbEdx+WFl6db6WzRxjGO67qtcTeurdgDu6221n3QRuvnON6v/+neZT/v4v8fe5nHQs822lVHW/JYeFOyODcxTtVdMOYTi1mW85wbZw/gmW3XlyLHYon4M+OrrWuu7i5gjAKAbvBEBgDogZg4z13F1IS+fJ9dERNkcbyimm/XMqvz49j//X/uv96asQ2T2G+x63Lv2R0T3E1W0l5fQNBwe+a5xOR7vTdmaeJejmNYhTujgG6hoGjjL5d+/ma3/ZzPmmWGEbmqtavnxIF7Wrnmcl9vbSz4CHUAefjAzwUrs+QO4Ktn62jMbXKxU4wRcT5zn8sI446d+CKVKhZExJgb71ELjrnLHM/auO82P7j0DgsLiWsuruPcnyPC31Kf8wDQR35yAADoiaqydk+3K2ujKtHk9HjqIK/Jauk6JGir1XtU19lr9QdVwJkxiIhWkNFaMcc9FpPDbQRyL7w0nUpThxCLqczc9OBtKbflXifLafc8jjauuWthxDcplwgfc6sDyDYX9/RF7gC+qW4Lc4nzGc/r3GLv4dJUldR/W7+oBRHx3+V+Px13cc58Nj2c97kQY3ob19zbZ79KAEA3mJ0DAOiRaPO73AmmXJazL96Q1FW/EeTlOl6HD/48e3hTi71MuSZnRXRcK6+/nHfiNgK53IsHIqwpZdFA3MtRPb2Uqsw2xsrlhB3L3XdyXONUSy/Xufe/TTn0qd17qXIH8LmPfVz7ubum1Ns1lCIWjSz1/Wmp57KthY1tvLfFNZd7MemlaQsDAaArBMAAAD1SBQ6Hu7eHpn1/x1NN5o8mLnMfq6oS+OV7W5m0LGlieTlOnr6Stfo3gsY2QqBYPJBzkUmEv0f//Fnqu7oqczl75G5Y4nEe9zpYzn6UbXZyyF0FfD5TBXAb1b9t3fd9lDuAj+uyjWMf7wO5F0GUsFArxqR4f4pFI0u11IB13LF0OeNmGxXKtVhMmvPvamtPdABgYQJgAICeaaNiZDFigjQmk1hYnLu2KnPjvLQRykcAnLPFal/kbLMZIWPugKDWxiKTY29cTn0W93AT+zBvaWksWIrNLX5vcW33beuANqp/I4Bs677vo5yLj+LeXk7QuFgR9Oe8B/q+XUNT+zAvdXHTuOdmauqmtFRtjrnxeXKOLbYGAYDuEAADAPRQGxUj49KesruqCqYWWoYfP9HvQG+5IgzKGWq2vcAixpac40ufFw00uQ9z7naky7n3295qYDmV1AuJ+7NpuTsftB1A9lHOlvv7Wz72uRdsRSB3/MQXqY+abIO+Yf0taSnaWKDS9iKYHdvvTABA+QTAAAA9lbtiZBxttUhk6XK3Vw1DbwOdc2I9grFJ3GO5r5s+LhqoW7g3Ne7mrkZbjk0P35batOmhdv++5XrhpbwtdfcLf28oZ8v9uM93Zd4LfS7P7plKOR3r65jb4CLD3FW2G9ctvQK47UWdWSuA7QEMAJ0hAAYA6KmYEJtkK+idj69UodQDESDmDoyGHgC/8lq+VrDP/j5vKDCf3G15+9gGeteTzd5LG3+ZN9hfzve6ueX21H1qdRwVxWfOfp1ymVQA2SdHM465kwrfc7fl7eNzOhbJNLkAaqljYomLbuK45vpcWkADQHcIgAEAeizCvb178u/zOtukw2cWJ/dewDHZlzMQ6bKcYVDcZ5snuE9szra8ccyGPkm86cGlTfiPG4gsdT/KCAXa7i6xeqo/UxO5gzTVvws7eTrfOdj2yB1pUp7OGPzHeDv0xVpLDT3HHZ82LrHFdPV3TKCjjw4+AFA+ATAAQM/F/qBt79cYE9Qmjvojd2vJ8PbZr9IQ5ZxQjyr7Scq5R+CQFw3Uuhp6TmLRwaS3M1iMo69+lnKJ46D698Zytn+OCtxJvtvs3J53zH/7nWE+p2fq6rurcRcAyMGsHQBAz8UEzut/ujdt+c3F1JaDz18aTVTeafKoJ+rWkjnDygjznk7DkzMMyhnAjqNuA52rUjfCiD61/m1aHNsN625O5xcZZk2NOe5GmLRx/X1psdpeUFRbyrGYhJwLF3IHgCU4VfCim9zP6vhz21gQ1mURtC72Hh53TIxFPbFP/GJ5lwYAchEAAwAUICa0os3v4Zc+TW2Itrf79v8rHTm0NtEPbQTAQ5Trc+feD3JcMbYII/LZMjq+K9LirB6ztXNXrqGSRPVpztblOx4XAC8k53Ps0a2Ta/9cy/msPvPusLsuhFhosthFLuMuujHmAgBdIwAGAChABLLHTlxObXrl1c/T5gdvHXyA0xfVxPbzl1Iu53pQude0nPvYTnLv35lyBsDCiFR1b6A/3s680GXnhKv++yDnopsujLubH873PcS7YjyzhlxxeuAPa6ovAIAh0GcEAKAAUY07iQDuwChQjAlFuq9u55tLPbE8JKdOX0m5dCUA3rY1XzXTEK8Z+i1n9anKwYUNYdHNpgdvSzl5ZwMAGA4BMABAzx384yfp2BvtVv/WYiL2iWc+TPRD7gnuS9PfpiHJueji0Y6EQbnDiKFdM/Rbznu+KwFkl51//5uUS1eO/8b1N2ddrPX22a8SAADDIAAGAOixqIY5kLGt77jfQ1Qg0325J7jPvT+sMC/nvsfj7vOaW4QROQ1172j6Kef12pVFH1128nS+CuzF7gubU85xVwUwAMBwCIABAHoqJvGe+F03qm8Pv/Rp1taYNGPTQ3mrOc9fyFed1UU5w6AuVQNuyBiMTGsBTU/kXqywcf0tiRvLeQ42PZz3+bgYOcf/SWwXAgDAZAiAAQB66uDzn3RqIm/3vo/s59lx+VtAD+f8x7We83rP2QJ0sdZM5d07Gvogd7tyLaAXNpQxN+f3MqTnNADA0AmAAQB6KPb9feXVz1OXdKkimbnlnuAe0gKAnMFl7rbLi5WzNapFI/RFzhb3XbvnuypnBXCXzkHOZ7UKYACA4fBTBgBAz0TwNOl9f+cTbaBfeHE6PbtnKtE9Qobm5KwG7NJelGF1xgpgAXB/nRtYy/ecLe67ds93Ue6xoksVwBsytgM35vbX0MZcAGD5/JQBANAjMXH32G8/SF0W4fSjW+/QzrKjYj/X85kqgIZUWZSzGrBrtCMdnggazpz9pgo9476OhUfxa5yvoVYQCs4mK2fXhS6FvwxTjC9n3vkqvX3262tjbfzz6Pcx5ubecgIAKJcAGACgR/bt/1fnJ99jkuqJZz5Mf//r/SZVKVbWasCOVWpnDYBNanfCydNXquAhujjEl/PyUzmPie4MC8vZdSFnl4Ol2LjuppSLRTfdEItsjp+4nM68Oxp3T3+pNTcAkIWfMgAAeiJaK3dt39/5RKVO7FN86OA9iW5ZM5roPv9+AgYuQt/jb1yunisC34XlrEBlYdOf5btGh7RYzb0+OVHhW4+5Al8AoA0CYACAHoiJ570HPk5NicnO3JOAh1/6tGoFvfPxlYnuUJXdDJO39FWED0df/ayq9KUb7AG8sE+mr6ZcPBfJKRbbHHz+kjEXAGidt1wAgI5ret/faDXZVnvm3Xs/UjUFiyQMIocIIR741YW0e99HggiAzGLMjff3x578hzEXAJgIATAAQMdFK+Wmqg0j9H3ztfuqEHj/H9ak3CK8jrABgMmoFxFFCKFyfem0zgXGtW//vwS/AMDECYABADosWnVGK+WmROgb4W/Y+/tVadsjt6fcYvIr9i+mfCpXoVvOnP06bfn1RSFEAz6ZFgDTf/U7IHlE15stv7nY6Ls7AMBSCYABgMHpy15vMYkUFQRN2fXUXVXoO9Prf7q3ldAu9i8WQMB4hlSlKYzI59gbl6vKX1W/3ae6GPov3ttjzI2FNwAAXSAABgA6Kee+sX0JgGMSqalJ4arl83M/bfkcx+LI4bWpDdEK2iT35DkHUL4IIJ743Yfu955wniara8d/+rN8309f3oH7pg5/LbgBALrEmx8A0ElDnwyNyt8mJ5EOHbxn3kq7aAO9d8+qlFvTFc0sTc42pqo5y5RzQlvb8ObFWBvhL81aM2X6pFRde+f8ZPpqykUA3Lx6n3XhLwDQNd78AIBOujT9bcql6yFVjn1/dz6+8sb/zXNr0uaHbk25xWezH/Bknc84Qblh/S1pKEyiN8NxbJ4gIo+c12rOrif0z3TGd2BjbvMO/vETYy4A0EmWWwNAx+QMUPo0wZiz/V2XK87iHMVEUlMi7D7w3OoF/7uYEHz95XvTlt9czF4Jc+D5S2nH9jtVi9JrQwqDcn4/G4wDjYoFNpMIIuK5unrqZ9fvi6WM78dOXB5s9w/h0cLWTK1IuVya7tZ1l/M+8O7VrDPvfNXoos1xxVgbX/X5NOYCAHPx5gcAdNK5/xvmHsBNV269+dp9Y/+31T7Bf1iTvU1zTDY98cyH6e9/vT/RrpOnr6Sc2qgi74qc40jXJmRzfj+rp25KNCOC+jaCiLj2417f8fjKtG3rHdWzo4n74c3TFzodRlQBy1spi64FkF00dfdwxlxt9/tj34GPUxtiu5YYczc/fFs1/jYx5p678EE6+daXCQAolzc/ABiQPlWY5JyM2zSaPOmiplvIRZi72IqAvb9flU6NQsJjb1xOOZ05+3UVNMfexLQnZ2V9XY0yFFMZg8vOhREZK4CHtGggt5jIz/mcj/v72T1T1XNCG9lmxT1/7sI3o2f2cNroL1buY9Ol46/rQj/EorrcAequp+6qtmlRuQ0ALIWf2gCgYzauyxgq9KjCJPckdtdE4BqtkZsSlQLjtH6ey5HDa1upEIlKNZUH7Trzztcpl6FNTuYcq7vUAjqCqVyB9NAWDeTW5PYBs8X9/eZf7queK0M9Z7mfi+fez7fvawmixXhOlz69mroibwtoiwyacvS1z1NORw6trb6EvwDAUvlpGwAG5My7+cKfpg2p4iw+677/bq7tckwUxYTRUsXkfoTAbdi97yP7j7UoKq9zGVpbyTaq0bog9jfMRfVvc+LezrlwKrYTGPr5yh18v53xXitB7gUjb5/tzvHP+aw27jbn5Ol8ixijQ05U/wIALIcAGAA6Jmeo0KWqsoXkmvzq4sRX7IfbaOvn51Yvu1ogKoj37lmVcotr8onffZhoh0nl5uSuRst5rhbjbddML5zKuL/3UrYTKNFU5v2q+7RIb1JyXodd6ZJzMuO9bMxtTpynXItuIviNVvsAAMslAAaAjsk9ydqVUOFG4nvMVRXatSrFaNnZ5DmJSaNdT92dmnDowD2tTBZGG+gXXpxO5BVhe84KwUe33pGGJCrRNmQcT853ZMFOzlBqkzCiMbna6cd1vutJVWgh9/PQlggLy3kOuhLA52wFLgBuTs7FUU839B4PACAABoAOyhkq5KwSakrOkDoqW7siqgea3Pc3Fg/sf25NatLrL9/byn6PcRz6sDihz3KHC0OcWN4ygDAib9X4bYlm5FrcEc9M1b/X5D4O1SKdjrR+76qci/i6EsCfeivfe/qjHXoH7rtc10uMM136WQUA6DcBMAB0UM5QoQ8VJsdPfJFy2fRwNwKHmOjdve+fqUmx72/TE9RVqPyHZkPluUTFd7TCth9wPkdf/SzlEuFvGwsFuiZnINSFBRExTuX6PuLYqUZrTq7zJIj4Qe6q/3D8xOXE/DY/nG/MiPGuC+8gOfeV3fbIsDp15JRr0c3mBz0XAYDmCIABoINyhgpdD4Bj8u3YG/kmQLsymb1730fN7vs7CmlzfbbYh2zn4ytTbjH5Gi2xaV7cVznv/aEGedu25htPcrbCH1fOa0aw2JyciwW6smiqK7ZkHutyvv+UYNODea/HSS+8ib8/V7AYP1uo5m/OuUzbNFgYBQA0SQAMAB2UM1TIHQQt17ET5Ye/EXI2eQ5iQu/Ac6tTTkcOr21l/+TDL31qAjyDY5mryna0sECgix7NXE2VsxvCpP9+rUibc2k6356h/FjuAC3eDXTCmF8c/5xV2JMec3Nu02LRTbNy3adD7KYCAOTjzQIAOih3qNDlKssXXppOuezsQEgV1R1N7vsb3nztvpRbTEhFCNyG3Xs/ylZZMVQ576uwc/udaYhyt4Sd5GKduAdzLsYY6jWTw/RnAsO2bGph3+oXXsw7XvfdYxkXSU56AVosgsvl6afuTjQj5zvq6inTtABAc7xZAEAHtREqdDFge+XVz7O233t062T3Potj/sTvPkxNOnTwntZa+kX1yN49q1JuUVURLbJpxvE3vsh6X3VhYcUkPbE93+ePyu1JVQPmDJ/jmlHl1JxPpq8m2rFze/7xLmcIWIKciyTjPW1SC29Onr6Stf2zCuB+uDRtQQ8A0Bw/dQNARz2ReZJx3/5/pa7JWZkck1+T3lfr4POfNDq5t+upu6r9edt06MA9rRzHmIBVBdWMvf/9ccppx/ZhB8A7MlayRvh79M+fpUnIOR4P/ZrpE+2lfyz3Ar1Q3fevTua+74PcIfyk2kAffe3zlIvwtz9yLQIAAIZJAAwAHbUjc3vMaHPXpb2AI5DOOemx95l2g9LZIkyJCuemRKC9/7k1aRJef/neVqr39h74uNP7VfdBhOg576u4DncNvK1kLIjIeT9MoiVpjFU5K9GGfs30yfmWuoVE5eV0T/a+faKFBQyxVYS9gOcW423OQDPGv7aPfVz/Tb4jzjap90UWr61rL/4e260AQPkEwADQUblDhRDtiLvww3+Eo7lbHu6Y4H6TcYyb3vd3/3OrW2v9PFsVPv+hncnEaAVtEnxpclx3s6kquhZG5KxIi0UQbVYDxnWTs/rXNdO8NVMrUi5n3s3XPv7633H26/TYbz/ozVjfxvtE3IdtdsGIY9+XAD7k3HogjkXOMXAuTzzT7PYgM8WYO6n3RRavjYWPMb7EmKvaGADKJwAGgI7KXeEQYpLrsSc/mGgIHBOcuUOqaJU8qcmv6hiPJlma9OyeqYlX0EXr6adb+B7i2uxiu/I+aCNQUVV0Te57oc1qwKZb1c/mmmne1N0ZK9BP5K1Aj8UNfQsi2ligF2JhXM7922t1GNSnxVZP/9fdWc9BW8c+xHtwzr/r6dE7MM3K+TNF3I/nLnyTcqkX3LR1fQMAkyUABoAOi6Avt2ri78n2JwJiojGCvWjzm9vTEwxLm25tHZNOB55bnbrg8MGfp43r8gfr0RbRfsCLE5XTuQOVSS6s6JpYrJNzb+y2FkLEfZazDalrJo+N629JucSzOldFWlzTu/b9s3ddHiJ43NVCqBbHJSpDcx6fuOe3/OZi78Kg3J0XQu5jH2Jsz/kerOV+PjkXIBzN9ByO+13lLwAMiwAYADosQoU22mXGBFRMAFZhZQvVwCdPX0lbfn0xe9vn0NYxnEuOMOXN1+5rpfJoHPF9HDm8NrUhKiDtVTaeCH9zhng1lZw/lrMlaYhzmjMEjkrM3AtyXDN5rJ7K+0xouh1uhI3xztHGO0AubW0rkas6t/5z457v6zYLuRf35a6Mrv/8nPZ3ZMFgiaYyV6A3ed1Vi0l+92Gv73cAYGkEwADQcW1Wr8aEQ1QD5wiCY8KhXnn+2JP/aG31eVt71c6Wo6ojPkvXquciXN+7Z1XKra6EYn71Qo42wl+VnD8VHRtyL86IMToC/qbF2ByVmDnF8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} diff --git a/dist/projects/wordpress-plugin.json b/dist/projects/wordpress-plugin.json index cba459214..364e619fc 100644 --- a/dist/projects/wordpress-plugin.json +++ b/dist/projects/wordpress-plugin.json @@ -2,9 +2,9 @@ "slug": "wordpress-plugin", "repo": "Laboratoria/curriculum", "path": "projects/05-wordpress-plugin", - "version": "7.0.0", - "parserVersion": "5.0.0", - "createdAt": "2023-09-04T20:11:52.972Z", + "version": "7.1.0", + "parserVersion": "5.0.0-beta.0", + "createdAt": "2023-09-13T14:13:12.696Z", "prefix": 5, "track": "web-dev", "learningObjectives": [ diff --git a/dist/topics.json b/dist/topics.json index 96dbedd29..507c4816f 100644 --- a/dist/topics.json +++ b/dist/topics.json @@ -3,9 +3,9 @@ "slug": "browser", "repo": "Laboratoria/curriculum", "path": "topics/browser", - "version": "7.0.0", - "parserVersion": "5.0.0", - "createdAt": "2023-09-04T20:11:54.383Z", + "version": "7.1.0", + "parserVersion": "5.0.0-beta.0", + "createdAt": "2023-09-13T14:13:15.617Z", "track": "web-dev", "intl": { "es": { @@ -24,9 +24,9 @@ "slug": "content-management", "repo": "Laboratoria/curriculum", "path": "topics/content-management", - "version": "7.0.0", - "parserVersion": "5.0.0", - "createdAt": "2023-09-04T20:11:53.919Z", + "version": "7.1.0", + "parserVersion": "5.0.0-beta.0", + "createdAt": "2023-09-13T14:13:14.731Z", "track": "ux", "intl": { "es": { @@ -41,9 +41,9 @@ "slug": "css", "repo": "Laboratoria/curriculum", "path": "topics/css", - "version": "7.0.0", - "parserVersion": "5.0.0", - "createdAt": "2023-09-04T20:11:54.282Z", + "version": "7.1.0", + "parserVersion": "5.0.0-beta.0", + "createdAt": "2023-09-13T14:13:15.426Z", "track": "web-dev", "intl": { "es": { @@ -62,9 +62,9 @@ "slug": "functional", "repo": "Laboratoria/curriculum", "path": "topics/functional", - "version": "7.0.0", - "parserVersion": "5.0.0", - "createdAt": "2023-09-04T20:11:54.227Z", + "version": "7.1.0", + "parserVersion": "5.0.0-beta.0", + "createdAt": "2023-09-13T14:13:18.776Z", "track": "web-dev", "intl": { "es": { @@ -79,9 +79,9 @@ "slug": "html", "repo": "Laboratoria/curriculum", "path": "topics/html", - "version": "7.0.0", - "parserVersion": "5.0.0", - "createdAt": "2023-09-04T20:11:54.081Z", + "version": "7.1.0", + "parserVersion": "5.0.0-beta.0", + "createdAt": "2023-09-13T14:13:18.563Z", "track": "web-dev", "intl": { "es": { @@ -100,9 +100,9 @@ "slug": "interaction-design", "repo": "Laboratoria/curriculum", "path": "topics/interaction-design", - "version": "7.0.0", - "parserVersion": "5.0.0", - "createdAt": "2023-09-04T20:11:53.986Z", + "version": "7.1.0", + "parserVersion": "5.0.0-beta.0", + "createdAt": "2023-09-13T14:13:18.267Z", "track": "ux", "intl": { "es": { @@ -117,9 +117,9 @@ "slug": "intro-ux", "repo": "Laboratoria/curriculum", "path": "topics/intro-ux", - "version": "7.0.0", - "parserVersion": "5.0.0", - "createdAt": "2023-09-04T20:11:55.231Z", + "version": "7.1.0", + "parserVersion": "5.0.0-beta.0", + "createdAt": "2023-09-13T14:13:21.495Z", "track": "ux", "intl": { "es": { @@ -134,9 +134,9 @@ "slug": "javascript", "repo": "Laboratoria/curriculum", "path": "topics/javascript", - "version": "7.0.0", - "parserVersion": "5.0.0", - "createdAt": "2023-09-04T20:11:55.891Z", + "version": "7.1.0", + "parserVersion": "5.0.0-beta.0", + "createdAt": "2023-09-13T14:13:22.516Z", "track": "web-dev", "intl": { "es": { @@ -155,9 +155,9 @@ "slug": "learning-mindset", "repo": "Laboratoria/curriculum", "path": "topics/learning-mindset", - "version": "7.0.0", - "parserVersion": "5.0.0", - "createdAt": "2023-09-04T20:11:55.263Z", + "version": "7.1.0", + "parserVersion": "5.0.0-beta.0", + "createdAt": "2023-09-13T14:13:21.474Z", "track": "web-dev", "intl": { "es": { @@ -172,9 +172,9 @@ "slug": "paradigms", "repo": "Laboratoria/curriculum", "path": "topics/paradigms", - "version": "7.0.0", - "parserVersion": "5.0.0", - "createdAt": "2023-09-04T20:11:55.520Z", + "version": "7.1.0", + "parserVersion": "5.0.0-beta.0", + "createdAt": "2023-09-13T14:13:24.846Z", "track": "web-dev", "intl": { "es": { @@ -189,9 +189,9 @@ "slug": "prototyping", "repo": "Laboratoria/curriculum", "path": "topics/prototyping", - "version": "7.0.0", - "parserVersion": "5.0.0", - "createdAt": "2023-09-04T20:11:55.188Z", + "version": "7.1.0", + "parserVersion": "5.0.0-beta.0", + "createdAt": "2023-09-13T14:13:24.420Z", "track": "ux", "intl": { "es": { @@ -206,9 +206,9 @@ "slug": "scm", "repo": "Laboratoria/curriculum", "path": "topics/scm", - "version": "7.0.0", - "parserVersion": "5.0.0", - "createdAt": "2023-09-04T20:11:55.305Z", + "version": "7.1.0", + "parserVersion": "5.0.0-beta.0", + "createdAt": "2023-09-13T14:13:24.647Z", "track": "web-dev", "intl": { "es": { @@ -227,9 +227,9 @@ "slug": "shell", "repo": "Laboratoria/curriculum", "path": "topics/shell", - "version": "7.0.0", - "parserVersion": "5.0.0", - "createdAt": "2023-09-04T20:11:55.293Z", + "version": "7.1.0", + "parserVersion": "5.0.0-beta.0", + "createdAt": "2023-09-13T14:13:26.604Z", "track": "web-dev", "intl": { "es": { @@ -248,9 +248,9 @@ "slug": "ux-research", "repo": "Laboratoria/curriculum", "path": "topics/ux-research", - "version": "7.0.0", - "parserVersion": "5.0.0", - "createdAt": "2023-09-04T20:11:56.438Z", + "version": "7.1.0", + "parserVersion": "5.0.0-beta.0", + "createdAt": "2023-09-13T14:13:26.873Z", "track": "ux", "intl": { "es": { diff --git a/dist/topics/browser.json b/dist/topics/browser.json index 4a4a655d9..db5924a95 100644 --- a/dist/topics/browser.json +++ b/dist/topics/browser.json @@ -2,9 +2,9 @@ "slug": "browser", "repo": "Laboratoria/curriculum", "path": "topics/browser", - "version": "7.0.0", - "parserVersion": "5.0.0", - "createdAt": "2023-09-04T20:11:54.383Z", + "version": "7.1.0", + "parserVersion": "5.0.0-beta.0", + "createdAt": "2023-09-13T14:13:15.617Z", "track": "web-dev", "intl": { "es": { diff --git a/dist/topics/content-management.json b/dist/topics/content-management.json index 5d9c49713..1ff303cfb 100644 --- a/dist/topics/content-management.json +++ b/dist/topics/content-management.json @@ -2,9 +2,9 @@ "slug": "content-management", "repo": "Laboratoria/curriculum", "path": "topics/content-management", - "version": "7.0.0", - "parserVersion": "5.0.0", - "createdAt": "2023-09-04T20:11:53.919Z", + "version": "7.1.0", + "parserVersion": "5.0.0-beta.0", + "createdAt": "2023-09-13T14:13:14.731Z", "track": "ux", "intl": { "es": { diff --git a/dist/topics/css.json b/dist/topics/css.json index 240539a35..51a9f4119 100644 --- a/dist/topics/css.json +++ b/dist/topics/css.json @@ -2,9 +2,9 @@ "slug": "css", "repo": "Laboratoria/curriculum", "path": "topics/css", - "version": "7.0.0", - "parserVersion": "5.0.0", - "createdAt": "2023-09-04T20:11:54.282Z", + "version": "7.1.0", + "parserVersion": "5.0.0-beta.0", + "createdAt": "2023-09-13T14:13:15.426Z", "track": "web-dev", "intl": { "es": { diff --git a/dist/topics/functional.json b/dist/topics/functional.json index 41e522223..056678e84 100644 --- a/dist/topics/functional.json +++ b/dist/topics/functional.json @@ -2,9 +2,9 @@ "slug": "functional", "repo": "Laboratoria/curriculum", "path": "topics/functional", - "version": "7.0.0", - "parserVersion": "5.0.0", - "createdAt": "2023-09-04T20:11:54.227Z", + "version": "7.1.0", + "parserVersion": "5.0.0-beta.0", + "createdAt": "2023-09-13T14:13:18.776Z", "track": "web-dev", "intl": { "es": { @@ -64,7 +64,7 @@ "slug": "discount", "prefix": "01", "path": "topics/functional/01-state/02-practice/01-discount", - "createdAt": "2023-09-04T20:11:54.227Z", + "createdAt": "2023-09-13T14:13:18.772Z", "env": "cjs", "intl": { "es": { @@ -82,7 +82,7 @@ "slug": "serialize-user", "prefix": "02", "path": "topics/functional/01-state/02-practice/02-serialize-user", - "createdAt": "2023-09-04T20:11:54.227Z", + "createdAt": "2023-09-13T14:13:18.772Z", "env": "cjs", "intl": { "es": { @@ -126,7 +126,7 @@ "slug": "parse-items", "prefix": "01", "path": "topics/functional/01-state/04-practice-2/01-parse-items", - "createdAt": "2023-09-04T20:11:54.227Z", + "createdAt": "2023-09-13T14:13:18.773Z", "env": "cjs", "intl": { "es": { @@ -205,7 +205,7 @@ "slug": "repeat", "prefix": "01", "path": "topics/functional/03-hof/02-practice/01-repeat", - "createdAt": "2023-09-04T20:11:54.227Z", + "createdAt": "2023-09-13T14:13:18.772Z", "env": "cjs", "intl": { "es": { @@ -249,7 +249,7 @@ "slug": "bound-logger", "prefix": "01", "path": "topics/functional/03-hof/04-practice-2/01-bound-logger", - "createdAt": "2023-09-04T20:11:54.227Z", + "createdAt": "2023-09-13T14:13:18.773Z", "env": "cjs", "intl": { "es": { @@ -267,7 +267,7 @@ "slug": "logger", "prefix": "02", "path": "topics/functional/03-hof/04-practice-2/02-logger", - "createdAt": "2023-09-04T20:11:54.227Z", + "createdAt": "2023-09-13T14:13:18.774Z", "env": "cjs", "intl": { "es": { @@ -311,7 +311,7 @@ "slug": "curry-n", "prefix": "01", "path": "topics/functional/03-hof/06-practice-3/01-curry-n", - "createdAt": "2023-09-04T20:11:54.227Z", + "createdAt": "2023-09-13T14:13:18.773Z", "env": "cjs", "intl": { "es": { @@ -390,7 +390,7 @@ "slug": "apply-discount", "prefix": "01", "path": "topics/functional/05-flow-control/02-practice/01-apply-discount", - "createdAt": "2023-09-04T20:11:54.227Z", + "createdAt": "2023-09-13T14:13:18.774Z", "env": "cjs", "intl": { "es": { @@ -408,7 +408,7 @@ "slug": "reduce", "prefix": "02", "path": "topics/functional/05-flow-control/02-practice/02-reduce", - "createdAt": "2023-09-04T20:11:54.227Z", + "createdAt": "2023-09-13T14:13:18.773Z", "env": "cjs", "intl": { "es": { @@ -426,7 +426,7 @@ "slug": "get-dependencies", "prefix": "03", "path": "topics/functional/05-flow-control/02-practice/03-get-dependencies", - "createdAt": "2023-09-04T20:11:54.227Z", + "createdAt": "2023-09-13T14:13:18.775Z", "env": "cjs", "intl": { "es": { @@ -470,7 +470,7 @@ "slug": "load-users", "prefix": "01", "path": "topics/functional/05-flow-control/04-practice-2/01-load-users", - "createdAt": "2023-09-04T20:11:54.227Z", + "createdAt": "2023-09-13T14:13:18.774Z", "env": "cjs", "intl": { "es": { diff --git a/dist/topics/html.json b/dist/topics/html.json index 78aab3716..a90dcffc2 100644 --- a/dist/topics/html.json +++ b/dist/topics/html.json @@ -2,9 +2,9 @@ "slug": "html", "repo": "Laboratoria/curriculum", "path": "topics/html", - "version": "7.0.0", - "parserVersion": "5.0.0", - "createdAt": "2023-09-04T20:11:54.081Z", + "version": "7.1.0", + "parserVersion": "5.0.0-beta.0", + "createdAt": "2023-09-13T14:13:18.563Z", "track": "web-dev", "intl": { "es": { diff --git a/dist/topics/interaction-design.json b/dist/topics/interaction-design.json index becc5eef6..1ced80bae 100644 --- a/dist/topics/interaction-design.json +++ b/dist/topics/interaction-design.json @@ -2,9 +2,9 @@ "slug": "interaction-design", "repo": "Laboratoria/curriculum", "path": "topics/interaction-design", - "version": "7.0.0", - "parserVersion": "5.0.0", - "createdAt": "2023-09-04T20:11:53.986Z", + "version": "7.1.0", + "parserVersion": "5.0.0-beta.0", + "createdAt": "2023-09-13T14:13:18.267Z", "track": "ux", "intl": { "es": { diff --git a/dist/topics/intro-ux.json b/dist/topics/intro-ux.json index 3e1013e90..f25776129 100644 --- a/dist/topics/intro-ux.json +++ b/dist/topics/intro-ux.json @@ -2,9 +2,9 @@ "slug": "intro-ux", "repo": "Laboratoria/curriculum", "path": "topics/intro-ux", - "version": "7.0.0", - "parserVersion": "5.0.0", - "createdAt": "2023-09-04T20:11:55.231Z", + "version": "7.1.0", + "parserVersion": "5.0.0-beta.0", + "createdAt": "2023-09-13T14:13:21.495Z", "track": "ux", "intl": { "es": { diff --git a/dist/topics/javascript.json b/dist/topics/javascript.json index 2efe7e10e..a0993a948 100644 --- a/dist/topics/javascript.json +++ b/dist/topics/javascript.json @@ -2,9 +2,9 @@ "slug": "javascript", "repo": "Laboratoria/curriculum", "path": "topics/javascript", - "version": "7.0.0", - "parserVersion": "5.0.0", - "createdAt": "2023-09-04T20:11:55.891Z", + "version": "7.1.0", + "parserVersion": "5.0.0-beta.0", + "createdAt": "2023-09-13T14:13:22.516Z", "track": "web-dev", "intl": { "es": { @@ -116,7 +116,7 @@ "slug": "coin-convert", "prefix": "01", "path": "topics/javascript/01-basics/06-exercises/01-coin-convert", - "createdAt": "2023-09-04T20:11:55.889Z", + "createdAt": "2023-09-13T14:13:22.514Z", "env": "cjs", "intl": { "es": { @@ -138,7 +138,7 @@ "slug": "restaurant-bill", "prefix": "02", "path": "topics/javascript/01-basics/06-exercises/02-restaurant-bill", - "createdAt": "2023-09-04T20:11:55.889Z", + "createdAt": "2023-09-13T14:13:22.513Z", "env": "cjs", "intl": { "es": { @@ -289,7 +289,7 @@ "slug": "power-of-two", "prefix": "01", "path": "topics/javascript/02-flow-control/06-code-challenges/01-power-of-two", - "createdAt": "2023-09-04T20:11:55.889Z", + "createdAt": "2023-09-13T14:13:22.516Z", "env": "cjs", "intl": { "es": { @@ -313,7 +313,7 @@ "slug": "reverse", "prefix": "02", "path": "topics/javascript/02-flow-control/06-code-challenges/02-reverse", - "createdAt": "2023-09-04T20:11:55.889Z", + "createdAt": "2023-09-13T14:13:22.513Z", "env": "cjs", "intl": { "es": { @@ -336,7 +336,7 @@ "slug": "count-vowels", "prefix": "03", "path": "topics/javascript/02-flow-control/06-code-challenges/03-count-vowels", - "createdAt": "2023-09-04T20:11:55.889Z", + "createdAt": "2023-09-13T14:13:22.513Z", "env": "cjs", "intl": { "es": { @@ -359,7 +359,7 @@ "slug": "even-or-odd", "prefix": "04", "path": "topics/javascript/02-flow-control/06-code-challenges/04-even-or-odd", - "createdAt": "2023-09-04T20:11:55.889Z", + "createdAt": "2023-09-13T14:13:22.514Z", "env": "cjs", "intl": { "es": { @@ -382,7 +382,7 @@ "slug": "max", "prefix": "05", "path": "topics/javascript/02-flow-control/06-code-challenges/05-max", - "createdAt": "2023-09-04T20:11:55.889Z", + "createdAt": "2023-09-13T14:13:22.514Z", "env": "cjs", "intl": { "es": { @@ -405,7 +405,7 @@ "slug": "is-prime", "prefix": "06", "path": "topics/javascript/02-flow-control/06-code-challenges/06-is-prime", - "createdAt": "2023-09-04T20:11:55.889Z", + "createdAt": "2023-09-13T14:13:22.516Z", "env": "cjs", "intl": { "es": { @@ -428,7 +428,7 @@ "slug": "can-drive-and-vote", "prefix": "07", "path": "topics/javascript/02-flow-control/06-code-challenges/07-can-drive-and-vote", - "createdAt": "2023-09-04T20:11:55.889Z", + "createdAt": "2023-09-13T14:13:22.514Z", "env": "cjs", "intl": { "es": { @@ -451,7 +451,7 @@ "slug": "are-odd", "prefix": "08", "path": "topics/javascript/02-flow-control/06-code-challenges/08-are-odd", - "createdAt": "2023-09-04T20:11:55.889Z", + "createdAt": "2023-09-13T14:13:22.514Z", "env": "cjs", "intl": { "es": { @@ -649,7 +649,7 @@ "slug": "compute-average-length-of-words", "prefix": "01", "path": "topics/javascript/04-arrays/06-practice/01-compute-average-length-of-words", - "createdAt": "2023-09-04T20:11:55.889Z", + "createdAt": "2023-09-13T14:13:22.516Z", "env": "cjs", "intl": { "es": { @@ -672,7 +672,7 @@ "slug": "get-nth-element", "prefix": "02", "path": "topics/javascript/04-arrays/06-practice/02-get-nth-element", - "createdAt": "2023-09-04T20:11:55.889Z", + "createdAt": "2023-09-13T14:13:22.514Z", "env": "cjs", "intl": { "es": { @@ -695,7 +695,7 @@ "slug": "convert-double-space-to-single", "prefix": "03", "path": "topics/javascript/04-arrays/06-practice/03-convert-double-space-to-single", - "createdAt": "2023-09-04T20:11:55.889Z", + "createdAt": "2023-09-13T14:13:22.514Z", "env": "cjs", "intl": { "es": { @@ -718,7 +718,7 @@ "slug": "are-valid-credentials", "prefix": "04", "path": "topics/javascript/04-arrays/06-practice/04-are-valid-credentials", - "createdAt": "2023-09-04T20:11:55.889Z", + "createdAt": "2023-09-13T14:13:22.514Z", "env": "cjs", "intl": { "es": { @@ -741,7 +741,7 @@ "slug": "find-pair-for-sum", "prefix": "05", "path": "topics/javascript/04-arrays/06-practice/05-find-pair-for-sum", - "createdAt": "2023-09-04T20:11:55.889Z", + "createdAt": "2023-09-13T14:13:22.514Z", "env": "cjs", "intl": { "es": { @@ -764,7 +764,7 @@ "slug": "filter-odd-elements", "prefix": "06", "path": "topics/javascript/04-arrays/06-practice/06-filter-odd-elements", - "createdAt": "2023-09-04T20:11:55.890Z", + "createdAt": "2023-09-13T14:13:22.514Z", "env": "cjs", "intl": { "es": { @@ -787,7 +787,7 @@ "slug": "find-shortest-word-among-mixed-elements", "prefix": "07", "path": "topics/javascript/04-arrays/06-practice/07-find-shortest-word-among-mixed-elements", - "createdAt": "2023-09-04T20:11:55.890Z", + "createdAt": "2023-09-13T14:13:22.514Z", "env": "cjs", "intl": { "es": { @@ -810,7 +810,7 @@ "slug": "find-smallest-number-among-mixed-elements", "prefix": "08", "path": "topics/javascript/04-arrays/06-practice/08-find-smallest-number-among-mixed-elements", - "createdAt": "2023-09-04T20:11:55.890Z", + "createdAt": "2023-09-13T14:13:22.514Z", "env": "cjs", "intl": { "es": { @@ -833,7 +833,7 @@ "slug": "get-longest-word-of-mixed-elements", "prefix": "09", "path": "topics/javascript/04-arrays/06-practice/09-get-longest-word-of-mixed-elements", - "createdAt": "2023-09-04T20:11:55.890Z", + "createdAt": "2023-09-13T14:13:22.514Z", "env": "cjs", "intl": { "es": { @@ -856,7 +856,7 @@ "slug": "get-largest-number-among-mixed-elements", "prefix": "10", "path": "topics/javascript/04-arrays/06-practice/10-get-largest-number-among-mixed-elements", - "createdAt": "2023-09-04T20:11:55.890Z", + "createdAt": "2023-09-13T14:13:22.514Z", "env": "cjs", "intl": { "es": { @@ -879,7 +879,7 @@ "slug": "compute-sum-of-all-elements", "prefix": "11", "path": "topics/javascript/04-arrays/06-practice/11-compute-sum-of-all-elements", - "createdAt": "2023-09-04T20:11:55.890Z", + "createdAt": "2023-09-13T14:13:22.515Z", "env": "cjs", "intl": { "es": { @@ -902,7 +902,7 @@ "slug": "compute-sum-between", "prefix": "12", "path": "topics/javascript/04-arrays/06-practice/12-compute-sum-between", - "createdAt": "2023-09-04T20:11:55.890Z", + "createdAt": "2023-09-13T14:13:22.514Z", "env": "cjs", "intl": { "es": { @@ -925,7 +925,7 @@ "slug": "get-longest-of-three-words", "prefix": "13", "path": "topics/javascript/04-arrays/06-practice/13-get-longest-of-three-words", - "createdAt": "2023-09-04T20:11:55.890Z", + "createdAt": "2023-09-13T14:13:22.515Z", "env": "cjs", "intl": { "es": { @@ -948,7 +948,7 @@ "slug": "find-shortest-of-three-words", "prefix": "14", "path": "topics/javascript/04-arrays/06-practice/14-find-shortest-of-three-words", - "createdAt": "2023-09-04T20:11:55.890Z", + "createdAt": "2023-09-13T14:13:22.514Z", "env": "cjs", "intl": { "es": { @@ -971,7 +971,7 @@ "slug": "calculate-bill-total", "prefix": "15", "path": "topics/javascript/04-arrays/06-practice/15-calculate-bill-total", - "createdAt": "2023-09-04T20:11:55.890Z", + "createdAt": "2023-09-13T14:13:22.515Z", "env": "cjs", "intl": { "es": { @@ -994,7 +994,7 @@ "slug": "convert-score-to-grade", "prefix": "16", "path": "topics/javascript/04-arrays/06-practice/16-convert-score-to-grade", - "createdAt": "2023-09-04T20:11:55.890Z", + "createdAt": "2023-09-13T14:13:22.515Z", "env": "cjs", "intl": { "es": { @@ -1114,7 +1114,7 @@ "slug": "add-array-property", "prefix": "00", "path": "topics/javascript/05-objects/06-practice/00-add-array-property", - "createdAt": "2023-09-04T20:11:55.890Z", + "createdAt": "2023-09-13T14:13:22.515Z", "env": "cjs", "intl": { "es": { @@ -1137,7 +1137,7 @@ "slug": "object-properties-counter", "prefix": "01", "path": "topics/javascript/05-objects/06-practice/01-object-properties-counter", - "createdAt": "2023-09-04T20:11:55.890Z", + "createdAt": "2023-09-13T14:13:22.515Z", "env": "cjs", "intl": { "es": { @@ -1160,7 +1160,7 @@ "slug": "remove-string-values-longer-than", "prefix": "02", "path": "topics/javascript/05-objects/06-practice/02-remove-string-values-longer-than", - "createdAt": "2023-09-04T20:11:55.890Z", + "createdAt": "2023-09-13T14:13:22.515Z", "env": "cjs", "intl": { "es": { @@ -1183,7 +1183,7 @@ "slug": "get-element-of-array-property", "prefix": "03", "path": "topics/javascript/05-objects/06-practice/03-get-element-of-array-property", - "createdAt": "2023-09-04T20:11:55.890Z", + "createdAt": "2023-09-13T14:13:22.515Z", "env": "cjs", "intl": { "es": { @@ -1206,7 +1206,7 @@ "slug": "greet-customer", "prefix": "04", "path": "topics/javascript/05-objects/06-practice/04-greet-customer", - "createdAt": "2023-09-04T20:11:55.890Z", + "createdAt": "2023-09-13T14:13:22.515Z", "env": "cjs", "intl": { "es": { @@ -1229,7 +1229,7 @@ "slug": "transform-first-and-last", "prefix": "05", "path": "topics/javascript/05-objects/06-practice/05-transform-first-and-last", - "createdAt": "2023-09-04T20:11:55.890Z", + "createdAt": "2023-09-13T14:13:22.516Z", "env": "cjs", "intl": { "es": { @@ -1252,7 +1252,7 @@ "slug": "get-all-keys", "prefix": "06", "path": "topics/javascript/05-objects/06-practice/06-get-all-keys", - "createdAt": "2023-09-04T20:11:55.890Z", + "createdAt": "2023-09-13T14:13:22.515Z", "env": "cjs", "intl": { "es": { @@ -1275,7 +1275,7 @@ "slug": "from-list-to-object", "prefix": "07", "path": "topics/javascript/05-objects/06-practice/07-from-list-to-object", - "createdAt": "2023-09-04T20:11:55.890Z", + "createdAt": "2023-09-13T14:13:22.515Z", "env": "cjs", "intl": { "es": { @@ -1298,7 +1298,7 @@ "slug": "list-all-values", "prefix": "08", "path": "topics/javascript/05-objects/06-practice/08-list-all-values", - "createdAt": "2023-09-04T20:11:55.890Z", + "createdAt": "2023-09-13T14:13:22.515Z", "env": "cjs", "intl": { "es": { @@ -1321,7 +1321,7 @@ "slug": "transform-employee-data", "prefix": "09", "path": "topics/javascript/05-objects/06-practice/09-transform-employee-data", - "createdAt": "2023-09-04T20:11:55.890Z", + "createdAt": "2023-09-13T14:13:22.516Z", "env": "cjs", "intl": { "es": { @@ -1344,7 +1344,7 @@ "slug": "convert-object-to-list", "prefix": "10", "path": "topics/javascript/05-objects/06-practice/10-convert-object-to-list", - "createdAt": "2023-09-04T20:11:55.890Z", + "createdAt": "2023-09-13T14:13:22.515Z", "env": "cjs", "intl": { "es": { @@ -1367,7 +1367,7 @@ "slug": "get-sum-of-all-elements-at-property", "prefix": "11", "path": "topics/javascript/05-objects/06-practice/11-get-sum-of-all-elements-at-property", - "createdAt": "2023-09-04T20:11:55.890Z", + "createdAt": "2023-09-13T14:13:22.515Z", "env": "cjs", "intl": { "es": { @@ -1390,7 +1390,7 @@ "slug": "get-product-of-all-elements-at-property", "prefix": "12", "path": "topics/javascript/05-objects/06-practice/12-get-product-of-all-elements-at-property", - "createdAt": "2023-09-04T20:11:55.890Z", + "createdAt": "2023-09-13T14:13:22.515Z", "env": "cjs", "intl": { "es": { @@ -1413,7 +1413,7 @@ "slug": "add-object-property", "prefix": "13", "path": "topics/javascript/05-objects/06-practice/13-add-object-property", - "createdAt": "2023-09-04T20:11:55.890Z", + "createdAt": "2023-09-13T14:13:22.515Z", "env": "cjs", "intl": { "es": { @@ -1436,7 +1436,7 @@ "slug": "add-full-name-property", "prefix": "14", "path": "topics/javascript/05-objects/06-practice/14-add-full-name-property", - "createdAt": "2023-09-04T20:11:55.890Z", + "createdAt": "2023-09-13T14:13:22.515Z", "env": "cjs", "intl": { "es": { @@ -1507,7 +1507,7 @@ "slug": "currency-amount", "prefix": "01", "path": "topics/javascript/06-strings/02-practice/01-currency-amount", - "createdAt": "2023-09-04T20:11:55.890Z", + "createdAt": "2023-09-13T14:13:22.515Z", "env": "cjs", "intl": { "es": { @@ -1530,7 +1530,7 @@ "slug": "first-and-last-to-upper", "prefix": "02", "path": "topics/javascript/06-strings/02-practice/02-first-and-last-to-upper", - "createdAt": "2023-09-04T20:11:55.890Z", + "createdAt": "2023-09-13T14:13:22.515Z", "env": "cjs", "intl": { "es": { @@ -1773,7 +1773,7 @@ "slug": "validate-string", "prefix": "01", "path": "topics/javascript/09-errors/05-practice/01-validate-string", - "createdAt": "2023-09-04T20:11:55.891Z", + "createdAt": "2023-09-13T14:13:22.516Z", "env": "cjs", "intl": { "es": { @@ -1795,7 +1795,7 @@ "slug": "parse-json", "prefix": "02", "path": "topics/javascript/09-errors/05-practice/02-parse-json", - "createdAt": "2023-09-04T20:11:55.891Z", + "createdAt": "2023-09-13T14:13:22.515Z", "env": "cjs", "intl": { "es": { @@ -1913,7 +1913,7 @@ "slug": "say-hello", "prefix": "01", "path": "topics/javascript/10-debugging/03-code-challenges/01-say-hello", - "createdAt": "2023-09-04T20:11:55.891Z", + "createdAt": "2023-09-13T14:13:22.516Z", "env": "cjs", "intl": { "es": { @@ -1935,7 +1935,7 @@ "slug": "create-array", "prefix": "02", "path": "topics/javascript/10-debugging/03-code-challenges/02-create-array", - "createdAt": "2023-09-04T20:11:55.891Z", + "createdAt": "2023-09-13T14:13:22.516Z", "env": "cjs", "intl": { "es": { @@ -1957,7 +1957,7 @@ "slug": "calculate-tip", "prefix": "03", "path": "topics/javascript/10-debugging/03-code-challenges/03-calculate-tip", - "createdAt": "2023-09-04T20:11:55.891Z", + "createdAt": "2023-09-13T14:13:22.516Z", "env": "cjs", "intl": { "es": { @@ -1979,7 +1979,7 @@ "slug": "tell-fortune", "prefix": "04", "path": "topics/javascript/10-debugging/03-code-challenges/04-tell-fortune", - "createdAt": "2023-09-04T20:11:55.891Z", + "createdAt": "2023-09-13T14:13:22.516Z", "env": "cjs", "intl": { "es": { @@ -2001,7 +2001,7 @@ "slug": "what-to-wear", "prefix": "05", "path": "topics/javascript/10-debugging/03-code-challenges/05-what-to-wear", - "createdAt": "2023-09-04T20:11:55.891Z", + "createdAt": "2023-09-13T14:13:22.516Z", "env": "cjs", "intl": { "es": { diff --git a/dist/topics/learning-mindset.json b/dist/topics/learning-mindset.json index b04a11c3b..07ee07e51 100644 --- a/dist/topics/learning-mindset.json +++ b/dist/topics/learning-mindset.json @@ -2,9 +2,9 @@ "slug": "learning-mindset", "repo": "Laboratoria/curriculum", "path": "topics/learning-mindset", - "version": "7.0.0", - "parserVersion": "5.0.0", - "createdAt": "2023-09-04T20:11:55.263Z", + "version": "7.1.0", + "parserVersion": "5.0.0-beta.0", + "createdAt": "2023-09-13T14:13:21.474Z", "track": "web-dev", "intl": { "es": { diff --git a/dist/topics/paradigms.json b/dist/topics/paradigms.json index f448121d7..010871057 100644 --- a/dist/topics/paradigms.json +++ b/dist/topics/paradigms.json @@ -2,9 +2,9 @@ "slug": "paradigms", "repo": "Laboratoria/curriculum", "path": "topics/paradigms", - "version": "7.0.0", - "parserVersion": "5.0.0", - "createdAt": "2023-09-04T20:11:55.520Z", + "version": "7.1.0", + "parserVersion": "5.0.0-beta.0", + "createdAt": "2023-09-13T14:13:24.846Z", "track": "web-dev", "intl": { "es": { @@ -88,7 +88,7 @@ "slug": "print-primes", "prefix": "01", "path": "topics/paradigms/01-paradigms/04-imperative-exercise/01-print-primes", - "createdAt": "2023-09-04T20:11:55.519Z", + "createdAt": "2023-09-13T14:13:24.844Z", "env": "cjs", "intl": { "es": { @@ -144,7 +144,7 @@ "slug": "get-primes", "prefix": "01", "path": "topics/paradigms/01-paradigms/07-procedural-exercise/01-get-primes", - "createdAt": "2023-09-04T20:11:55.519Z", + "createdAt": "2023-09-13T14:13:24.844Z", "env": "cjs", "intl": { "es": { @@ -188,7 +188,7 @@ "slug": "notes", "prefix": "01", "path": "topics/paradigms/01-paradigms/09-oop-exercise/01-notes", - "createdAt": "2023-09-04T20:11:55.519Z", + "createdAt": "2023-09-13T14:13:24.844Z", "env": "cjs", "intl": { "es": { @@ -232,7 +232,7 @@ "slug": "notes", "prefix": "01", "path": "topics/paradigms/01-paradigms/11-fp-exercise/01-notes", - "createdAt": "2023-09-04T20:11:55.519Z", + "createdAt": "2023-09-13T14:13:24.844Z", "env": "cjs", "intl": { "es": { @@ -335,7 +335,7 @@ "slug": "simple-objects", "prefix": "01", "path": "topics/paradigms/03-proto/04-ejercicios/01-simple-objects", - "createdAt": "2023-09-04T20:11:55.519Z", + "createdAt": "2023-09-13T14:13:24.844Z", "env": "cjs", "intl": { "es": { @@ -353,7 +353,7 @@ "slug": "proto", "prefix": "02", "path": "topics/paradigms/03-proto/04-ejercicios/02-proto", - "createdAt": "2023-09-04T20:11:55.519Z", + "createdAt": "2023-09-13T14:13:24.845Z", "env": "cjs", "intl": { "es": { @@ -371,7 +371,7 @@ "slug": "dynamic-lookups", "prefix": "03", "path": "topics/paradigms/03-proto/04-ejercicios/03-dynamic-lookups", - "createdAt": "2023-09-04T20:11:55.519Z", + "createdAt": "2023-09-13T14:13:24.845Z", "env": "cjs", "intl": { "es": { @@ -389,7 +389,7 @@ "slug": "property-assignments", "prefix": "04", "path": "topics/paradigms/03-proto/04-ejercicios/04-property-assignments", - "createdAt": "2023-09-04T20:11:55.519Z", + "createdAt": "2023-09-13T14:13:24.845Z", "env": "cjs", "intl": { "es": { @@ -407,7 +407,7 @@ "slug": "arrays-and-objects", "prefix": "05", "path": "topics/paradigms/03-proto/04-ejercicios/05-arrays-and-objects", - "createdAt": "2023-09-04T20:11:55.520Z", + "createdAt": "2023-09-13T14:13:24.845Z", "env": "cjs", "intl": { "es": { @@ -425,7 +425,7 @@ "slug": "object-create", "prefix": "06", "path": "topics/paradigms/03-proto/04-ejercicios/06-object-create", - "createdAt": "2023-09-04T20:11:55.520Z", + "createdAt": "2023-09-13T14:13:24.845Z", "env": "cjs", "intl": { "es": { @@ -443,7 +443,7 @@ "slug": "dot-new", "prefix": "07", "path": "topics/paradigms/03-proto/04-ejercicios/07-dot-new", - "createdAt": "2023-09-04T20:11:55.520Z", + "createdAt": "2023-09-13T14:13:24.845Z", "env": "cjs", "intl": { "es": { @@ -461,7 +461,7 @@ "slug": "constructor-functions", "prefix": "08", "path": "topics/paradigms/03-proto/04-ejercicios/08-constructor-functions", - "createdAt": "2023-09-04T20:11:55.520Z", + "createdAt": "2023-09-13T14:13:24.845Z", "env": "cjs", "intl": { "es": { @@ -479,7 +479,7 @@ "slug": "implicit-this", "prefix": "09", "path": "topics/paradigms/03-proto/04-ejercicios/09-implicit-this", - "createdAt": "2023-09-04T20:11:55.520Z", + "createdAt": "2023-09-13T14:13:24.845Z", "env": "cjs", "intl": { "es": { @@ -497,7 +497,7 @@ "slug": "function-prototype", "prefix": "10", "path": "topics/paradigms/03-proto/04-ejercicios/10-function-prototype", - "createdAt": "2023-09-04T20:11:55.520Z", + "createdAt": "2023-09-13T14:13:24.845Z", "env": "cjs", "intl": { "es": { @@ -612,7 +612,7 @@ "slug": "hof", "prefix": "01", "path": "topics/paradigms/06-composition/05-exercises/01-hof", - "createdAt": "2023-09-04T20:11:55.520Z", + "createdAt": "2023-09-13T14:13:24.845Z", "env": "cjs", "intl": { "es": { @@ -630,7 +630,7 @@ "slug": "map", "prefix": "02", "path": "topics/paradigms/06-composition/05-exercises/02-map", - "createdAt": "2023-09-04T20:11:55.520Z", + "createdAt": "2023-09-13T14:13:24.845Z", "env": "cjs", "intl": { "es": { @@ -648,7 +648,7 @@ "slug": "filter", "prefix": "03", "path": "topics/paradigms/06-composition/05-exercises/03-filter", - "createdAt": "2023-09-04T20:11:55.520Z", + "createdAt": "2023-09-13T14:13:24.845Z", "env": "cjs", "intl": { "es": { @@ -666,7 +666,7 @@ "slug": "reduce", "prefix": "04", "path": "topics/paradigms/06-composition/05-exercises/04-reduce", - "createdAt": "2023-09-04T20:11:55.520Z", + "createdAt": "2023-09-13T14:13:24.845Z", "env": "cjs", "intl": { "es": { @@ -684,7 +684,7 @@ "slug": "arrow-functions", "prefix": "05", "path": "topics/paradigms/06-composition/05-exercises/05-arrow-functions", - "createdAt": "2023-09-04T20:11:55.520Z", + "createdAt": "2023-09-13T14:13:24.845Z", "env": "cjs", "intl": { "es": { @@ -702,7 +702,7 @@ "slug": "closures", "prefix": "06", "path": "topics/paradigms/06-composition/05-exercises/06-closures", - "createdAt": "2023-09-04T20:11:55.520Z", + "createdAt": "2023-09-13T14:13:24.845Z", "env": "cjs", "intl": { "es": { @@ -720,7 +720,7 @@ "slug": "factories", "prefix": "07", "path": "topics/paradigms/06-composition/05-exercises/07-factories", - "createdAt": "2023-09-04T20:11:55.520Z", + "createdAt": "2023-09-13T14:13:24.845Z", "env": "cjs", "intl": { "es": { @@ -738,7 +738,7 @@ "slug": "object-assign", "prefix": "08", "path": "topics/paradigms/06-composition/05-exercises/08-object-assign", - "createdAt": "2023-09-04T20:11:55.520Z", + "createdAt": "2023-09-13T14:13:24.846Z", "env": "cjs", "intl": { "es": { @@ -756,7 +756,7 @@ "slug": "composition", "prefix": "09", "path": "topics/paradigms/06-composition/05-exercises/09-composition", - "createdAt": "2023-09-04T20:11:55.520Z", + "createdAt": "2023-09-13T14:13:24.846Z", "env": "cjs", "intl": { "es": { diff --git a/dist/topics/prototyping.json b/dist/topics/prototyping.json index 1fe3aeabd..e2ad5e269 100644 --- a/dist/topics/prototyping.json +++ b/dist/topics/prototyping.json @@ -2,9 +2,9 @@ "slug": "prototyping", "repo": "Laboratoria/curriculum", "path": "topics/prototyping", - "version": "7.0.0", - "parserVersion": "5.0.0", - "createdAt": "2023-09-04T20:11:55.188Z", + "version": "7.1.0", + "parserVersion": "5.0.0-beta.0", + "createdAt": "2023-09-13T14:13:24.420Z", "track": "ux", "intl": { "es": { diff --git a/dist/topics/scm.json b/dist/topics/scm.json index b25482b23..22e38b744 100644 --- a/dist/topics/scm.json +++ b/dist/topics/scm.json @@ -2,9 +2,9 @@ "slug": "scm", "repo": "Laboratoria/curriculum", "path": "topics/scm", - "version": "7.0.0", - "parserVersion": "5.0.0", - "createdAt": "2023-09-04T20:11:55.305Z", + "version": "7.1.0", + "parserVersion": "5.0.0-beta.0", + "createdAt": "2023-09-13T14:13:24.647Z", "track": "web-dev", "intl": { "es": { diff --git a/dist/topics/shell.json b/dist/topics/shell.json index 1c5602ce1..63a76b968 100644 --- a/dist/topics/shell.json +++ b/dist/topics/shell.json @@ -2,9 +2,9 @@ "slug": "shell", "repo": "Laboratoria/curriculum", "path": "topics/shell", - "version": "7.0.0", - "parserVersion": "5.0.0", - "createdAt": "2023-09-04T20:11:55.293Z", + "version": "7.1.0", + "parserVersion": "5.0.0-beta.0", + "createdAt": "2023-09-13T14:13:26.604Z", "track": "web-dev", "intl": { "es": { diff --git a/dist/topics/ux-research.json b/dist/topics/ux-research.json index f2c6a5409..2b70b17aa 100644 --- a/dist/topics/ux-research.json +++ b/dist/topics/ux-research.json @@ -2,9 +2,9 @@ "slug": "ux-research", "repo": "Laboratoria/curriculum", "path": "topics/ux-research", - "version": "7.0.0", - "parserVersion": "5.0.0", - "createdAt": "2023-09-04T20:11:56.438Z", + "version": "7.1.0", + "parserVersion": "5.0.0-beta.0", + "createdAt": "2023-09-13T14:13:26.873Z", "track": "ux", "intl": { "es": { diff --git a/package.json b/package.json index 38c9bb878..92fdbe11e 100644 --- a/package.json +++ b/package.json @@ -1,6 +1,6 @@ { "name": "curriculum", - "version": "7.0.0", + "version": "7.1.0", "description": "Proyectos y tópicos del curriculum del Bootcamp de @Laboratoria", "repository": "Laboratoria/curriculum", "keywords": [