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{"poster":"eXe La Twixx","date":"2016-07-17T17:58:57.568+0000","title":"Team sucht Midlaner [Dia V+]","subforum":"Clans & Teams","embed":{"description":"Twitch is the world's leading video platform and community for gamers. More than 45 million gamers gather every month on Twitch to broadcast, watch and chat about gaming. Twitch's video platform is the backbone of both live and on-demand distribution for the entire video game ecosystem.","url":"https://www.twitch.tv/exentric_esports","image":"https://static-cdn.jtvnw.net/jtv_user_pictures/exentric_esports-profile_image-e369da147cf3ad76-300x300.png"},"up_votes":1,"down_votes":0,"body":"Hey,\r\nUnser Main-Team sucht einen Midlaner, da das Team zur Zeit noch nicht komplett ist.\r\n\r\n___________\r\n\r\n**Wir bieten:**\r\n\r\n- mehrere Teamspeak- & Game-Server, die gratis von uns gehostet werden\r\n- eigene Website\r\n- Facebook-Page, YouTube- & Twitch-Channel, auf dem Liga-Matches & Turniere übertragen und gecastet werden\r\n- Zusammenarbeit mit den Streamern & YouTubern im Clan (momentan 4)\r\n- WhatsApp & Steam-Gruppe zum Informationsaustausch\r\n- Offline-Events wie z.B. LAN-Partys, Gamescom etc.\r\n- uvm.\r\n\r\n___________\r\n\r\n**Wir erwarten:**\r\n\r\n- Einhaltung gewisser Grundwerte & Regeln (Freundlichkeit, Pünktlichkeit, Zuverlässigkeit, ...)\r\n- Aktivität (besonders auf dem TS-Server des Clans)\r\n- Mindestalter 18 (Ausnahmen möglich)\r\n- Teamfähigkeit & Engagement\r\n- TS und Headset/Mikrofon mit erträglicher Qualität\r\n- keine aktuelle Mitgliedschaft in anderen offiziellen Clans\r\n\r\n-> Zur Aufnahme in eines der Teams ist die offizielle Mitgliedschaft im Clan unerlässlich!\r\n-> Die Trialzeit beträgt im Normalfall eine Woche. Danach entscheidet die Clanleitung über die Aufnahme.\r\n\r\n___________\r\n\r\n**Interesse?**\r\n\r\nDann addet **ClownFiestaEu** ingame.\r\n\r\n___________\r\n\r\nLG\r\n\r\nLa Twixx\r\nCEO eXentric eSports","replies":[]} |
{
"directions": [
"Preheat oven to 425 degrees F (220 degrees C). Grease a baking sheet.",
"Beat sugar, butter, and vanilla extract together in a bowl using an electric mixer until smooth and fluffy. Add egg and beat well. Stir flour, pumpkin, pumpkin pie spice, and salt into creamed butter mixture until well mixed, kneading lightly. Cut dough into 1-inch squares and arrange on the baking sheet.",
"Bake in the preheated oven until scones are risen, about 15 minutes."
],
"ingredients": [
"1/2 cup white sugar",
"1 1/2 tablespoons butter, softened",
"1 teaspoon vanilla extract",
"1 egg, lightly beaten",
"2 cups self-rising flour",
"1 cup canned pumpkin",
"1 teaspoon pumpkin pie spice (optional)",
"1/8 teaspoon salt"
],
"language": "en-US",
"source": "allrecipes.com",
"tags": [],
"title": "Yummy Pumpkin Scones",
"url": "http://allrecipes.com/recipe/245040/yummy-pumpkin-scones/"
}
|
{
"paraphrases": [],
"sentence": "could you show me the meals for these flights",
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"sql": [
"( SELECT DISTINCT FOOD_SERVICE.MEAL_CODE , FOOD_SERVICE.MEAL_NUMBER , FOOD_SERVICE.COMPARTMENT FROM FOOD_SERVICE WHERE FOOD_SERVICE . MEAL_CODE IN ( SELECT FLIGHT . MEAL_CODE FROM FLIGHT WHERE ( FLIGHT . FROM_AIRPORT IN ( SELECT AIRPORT_SERVICE . AIRPORT_CODE FROM AIRPORT_SERVICE WHERE AIRPORT_SERVICE . CITY_CODE IN ( SELECT CITY . CITY_CODE FROM CITY WHERE CITY.CITY_NAME = ' DENVER ' ) ) AND ( FLIGHT . TO_AIRPORT IN ( SELECT AIRPORT_SERVICE . AIRPORT_CODE FROM AIRPORT_SERVICE WHERE AIRPORT_SERVICE . CITY_CODE IN ( SELECT CITY . CITY_CODE FROM CITY WHERE CITY.CITY_NAME = ' DALLAS ' ) ) AND ( FLIGHT . FLIGHT_DAYS IN ( SELECT DAYS . DAYS_CODE FROM DAYS WHERE DAYS.DAY_NAME = ' MONDAY ' ) OR ( FLIGHT . FLIGHT_DAYS IN ( SELECT DAYS . DAYS_CODE FROM DAYS WHERE DAYS.DAY_NAME = ' TUESDAY ' ) OR ( FLIGHT . FLIGHT_DAYS IN ( SELECT DAYS . DAYS_CODE FROM DAYS WHERE DAYS.DAY_NAME = ' WEDNESDAY ' ) OR ( FLIGHT . FLIGHT_DAYS IN ( SELECT DAYS . DAYS_CODE FROM DAYS WHERE DAYS.DAY_NAME = ' THURSDAY ' ) OR FLIGHT . FLIGHT_DAYS IN ( SELECT DAYS . DAYS_CODE FROM DAYS WHERE DAYS.DAY_NAME = ' FRIDAY ' ) ) ) ) ) ) ) ) ) ;"
],
"variables": []
}
|
{"code":"1213072006","province_code":"12","regency_code":"1213","district_code":"121307","name":"MALINTANG JAE"} |
{"poster":"TC Fuking Frank","date":"2015-06-29T23:44:42.538+0000","title":"Team Challenged (Challenger 1) Ranked 5's LF Support Main","subforum":"Team Recruitment","up_votes":1,"down_votes":0,"body":"Hello,\r\nTeam Challenged (We are in challenger) is looking for a Support main, as our other current support had to leave.\r\nAdd myself "TC Fucking Frank" or our team leader "TC Executioner" about the position. \r\nYou must be serious about it, and be a good support, our last one will be hard to live up to","replies":[]} |
{"code":"7308122009","province_code":"73","regency_code":"7308","district_code":"730812","name":"TONRONGE"} |
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State of Mind\" rapper", "answer": "NAS", "row": 11, "col": 8}, "75": {"clue": "Yossarian's tentmate, in \"Catch-22\"", "answer": "ORR", "row": 11, "col": 12}, "76": {"clue": "Curl performer", "answer": "BICEP", "row": 11, "col": 16}, "77": {"clue": "Part of some three-day weekends: Abbr.", "answer": "FRI", "row": 12, "col": 0}, "79": {"clue": "Number one", "answer": "TOPRANKING", "row": 12, "col": 4}, "82": {"clue": "Athos's arm", "answer": "MUSKET", "row": 12, "col": 15}, "83": {"clue": "Ontario, par exemple", "answer": "LAC", "row": 13, "col": 0}, "84": {"clue": "\"Generations of healthy, happy pets\" sloganeer", "answer": "ALPO", "row": 13, "col": 4}, "85": {"clue": "Small songbird", "answer": "TIT", "row": 13, "col": 9}, "86": {"clue": "Chopsticks eschewers, informally", "answer": "FORKERS", "row": 13, "col": 14}, "87": {"clue": "Razor handle?", "answer": "OCCAM", "row": 14, "col": 0}, "89": {"clue": "The ___ Band, with guitarist Little Steven", "answer": "ESTREET", "row": 14, "col": 6}, "92": {"clue": "Choir supports", "answer": "RISERS", "row": 14, "col": 14}, "93": {"clue": "He played 2,130 consecutive games", "answer": "GEHRIG", "row": 15, "col": 0}, "95": {"clue": "\"Sire\"", "answer": "YOURMAJESTY", "row": 15, "col": 7}, "97": {"clue": "The Desi of Desilu", "answer": "ARNAZ", "row": 16, "col": 2}, "99": {"clue": "Middle of summer?", "answer": "EMS", "row": 16, "col": 8}, "100": {"clue": "Certain people buried in Westminster Abbey", "answer": "POETS", "row": 16, "col": 12}, "101": {"clue": "Black-and-white broadcast?", "answer": "APB", "row": 16, "col": 18}, "104": {"clue": "Divine epithet", "answer": "CREATOR", "row": 17, "col": 1}, "106": {"clue": "Cut made by a saw", "answer": "KERF", "row": 17, "col": 11}, "107": {"clue": "Gilpin of \"Frasier\"", "answer": "PERI", "row": 17, "col": 17}, "108": {"clue": "Sticks (out)", "answer": "JUTS", "row": 18, "col": 0}, "109": {"clue": "Ignore, as a problem", "answer": "SWEEPUNDERTHERUG", "row": 18, "col": 5}, "115": {"clue": "Assist in evil", "answer": "ABET", "row": 19, "col": 0}, "116": {"clue": "Freaky", "answer": "BIZARRE", "row": 19, "col": 5}, "117": {"clue": "Dimming", "answer": "LOWERING", "row": 19, "col": 13}, "118": {"clue": "They may be revolutionary", "answer": "WARS", "row": 20, "col": 0}, "119": {"clue": "The very beginning", "answer": "YEARONE", "row": 20, "col": 5}, "120": {"clue": "1967 pop sensation, with \"the\"", "answer": "MONKEES", "row": 20, "col": 14}}, "down": {"1": {"clue": "Europe's longest river", "answer": "VOLGA", "row": 0, "col": 0}, "2": {"clue": "Turn aside", "answer": "AVERT", "row": 0, "col": 1}, "3": {"clue": "Beersheba's desert", "answer": "NEGEV", "row": 0, "col": 2}, "4": {"clue": "Sticking point", "answer": "CRAW", "row": 0, "col": 3}, "5": {"clue": "Unilever detergent", "answer": "ALL", "row": 0, "col": 4}, "6": {"clue": "", "answer": "MOD", "row": 0, "col": 5}, "7": {"clue": "People who no what they like?", "answer": "PURITANS", "row": 0, "col": 6}, "8": {"clue": "Emulates a reporter", "answer": "ASKS", "row": 0, "col": 9}, "9": {"clue": "Kona keepsake", "answer": "LEI", "row": 0, "col": 10}, "10": {"clue": "Brashares who wrote \"The Sisterhood of the Traveling Pants\"", "answer": "ANN", "row": 0, "col": 11}, "11": {"clue": "Zine", "answer": "MAG", "row": 0, "col": 12}, "12": {"clue": "And others, in a list", "answer": "ETAL", "row": 0, "col": 13}, "13": {"clue": "Old Venetian officials", "answer": "DOGES", "row": 0, "col": 14}, "14": {"clue": "Self-titled album of 1980", "answer": "ARETHA", "row": 0, "col": 15}, "15": {"clue": "St. Peter, e.g.?", "answer": "GATEMAN", "row": 0, "col": 17}, "16": {"clue": "High-school gym feature", "answer": "EQUIPMENTLOCKER", "row": 0, "col": 18}, "17": {"clue": "Chance to play", "answer": "TURN", "row": 0, "col": 19}, "18": {"clue": "Ringo's drummer son", "answer": "ZAK", "row": 0, "col": 20}, "20": {"clue": "Styled", "answer": "DIDUP", "row": 1, "col": 7}, "24": {"clue": "Mr. Potato Head features", "answer": "NOSES", "row": 2, "col": 8}, "29": {"clue": "Infamous 1999 computer virus with a woman's name", "answer": "MELISSA", "row": 3, "col": 16}, "31": {"clue": "Woes, to a Yiddish speaker", "answer": "TSURIS", "row": 4, "col": 4}, "32": {"clue": "More aloof", "answer": "ICIER", "row": 4, "col": 5}, "33": {"clue": "Target, with \"on\"", "answer": "HOMEIN", "row": 4, "col": 10}, "34": {"clue": "Marmalade ingredients", "answer": "QUINCES", "row": 4, "col": 11}, "35": {"clue": "Stop: Abbr.", "answer": "STA", "row": 4, "col": 12}, "37": {"clue": "On a par with", "answer": "EQUALTO", "row": 5, "col": 3}, "38": {"clue": "Barbecue order", "answer": "RIBS", "row": 5, "col": 9}, "39": {"clue": "\"Watermark\" vocalist", "answer": "ENYA", "row": 5, "col": 13}, "41": {"clue": "Brightly colored fish", "answer": "OPAH", "row": 5, "col": 19}, "42": {"clue": "Charon's workplace", "answer": "STYX", "row": 5, "col": 20}, "43": {"clue": "Wears out the carpet?", "answer": "PACES", "row": 6, "col": 1}, "44": {"clue": "Declaration of August 14, 1941", "answer": "ATLANTICCHARTER", "row": 6, "col": 2}, "46": {"clue": "Activity in which people get their kicks", "answer": "SOCCER", "row": 6, "col": 14}, "48": {"clue": "NuGrape competitor", "answer": "NEHI", "row": 7, "col": 0}, "51": {"clue": "Call letters on 1970s-'80s TV", "answer": "WKRP", "row": 7, "col": 15}, "54": {"clue": "Pet cat, in British lingo", "answer": "MOG", "row": 8, "col": 7}, "55": {"clue": "\"Once ___ midnight dreary ...\"", "answer": "UPONA", "row": 8, "col": 8}, "56": {"clue": "Betray, in a way", "answer": "RATON", "row": 8, "col": 12}, "59": {"clue": "Soda shop order", "answer": "FRAPPE", "row": 9, "col": 6}, "62": {"clue": "Single malt, for instance", "answer": "WHISKEY", "row": 9, "col": 17}, "64": {"clue": "Rachel Carson's sci.", "answer": "ECOL", "row": 10, "col": 5}, "65": {"clue": "Hissy fit", "answer": "TANTRUM", "row": 10, "col": 9}, "67": {"clue": "Joule division", "answer": "ERG", "row": 10, "col": 13}, "69": {"clue": "Raspberries", "answer": "JEERS", "row": 10, "col": 19}, "70": {"clue": "Takes, with \"for\"", "answer": "OPTS", "row": 10, "col": 20}, "72": {"clue": "Legs", "answer": "STAMINA", "row": 11, "col": 4}, "74": {"clue": "Their business is going downhill", "answer": "SKIERS", "row": 11, "col": 10}, "76": {"clue": "Explodes", "answer": "BURSTS", "row": 11, "col": 16}, "77": {"clue": "Aggressively promote", "answer": "FLOG", "row": 12, "col": 0}, "78": {"clue": "Put the pedal to the metal", "answer": "RACE", "row": 12, "col": 1}, "80": {"clue": "Promising", "answer": "ROSY", "row": 12, "col": 7}, "81": {"clue": "Couple", "answer": "ITEM", "row": 12, "col": 11}, "82": {"clue": "Dampish", "answer": "MOIST", "row": 12, "col": 15}, "86": {"clue": "Not burdened by", "answer": "FREEFROM", "row": 13, "col": 14}, "88": {"clue": "Record list", "answer": "ARRESTS", "row": 14, "col": 3}, "90": {"clue": "Nail site", "answer": "TOE", "row": 14, "col": 8}, "91": {"clue": "Not live", "answer": "TAPED", "row": 14, "col": 12}, "94": {"clue": "\"Great\" guy", "answer": "GATSBY", "row": 15, "col": 5}, "96": {"clue": "Superman's father", "answer": "JOREL", "row": 15, "col": 13}, "98": {"clue": "\"Holy smokes!\"", "answer": "ZOWIE", "row": 16, "col": 6}, "101": {"clue": "Place with an eagle's-eye view", "answer": "AERIE", "row": 16, "col": 18}, "102": {"clue": "Someone who just got out of a long bath, facetiously", "answer": "PRUNE", "row": 16, "col": 19}, "103": {"clue": "Jason of \"American Pie\"", "answer": "BIGGS", "row": 16, "col": 20}, "104": {"clue": "International baseball powerhouse", "answer": "CUBA", "row": 17, "col": 1}, "105": {"clue": "Former shah ___ Pahlavi", "answer": "REZA", "row": 17, "col": 7}, "106": {"clue": "Banjo supporter", "answer": "KNEE", "row": 17, "col": 11}, "107": {"clue": "Executive's extra", "answer": "PERK", "row": 17, "col": 17}, "108": {"clue": "Paleontologist's discovery", "answer": "JAW", "row": 18, "col": 0}, "110": {"clue": "Musician's gift", "answer": "EAR", "row": 18, "col": 8}, "111": {"clue": "Active leader?", "answer": "PRO", "row": 18, "col": 9}, "112": {"clue": "Subject of a Keats ode", "answer": "URN", "row": 18, "col": 10}, "113": {"clue": "Couple", "answer": "TWO", "row": 18, "col": 15}, "114": {"clue": "Egg source", "answer": "HEN", "row": 18, "col": 16}}} |
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{
"name": "Lead Ore",
"icon": "mysticalworld:lead_ore",
"category": "mysticalworld:metals",
"pages": [
{
"type": "spotlight",
"link_recipe": true,
"item": "mysticalworld:lead_ore",
"text": "Found in the lower parts of the world, lead is a dense material that can be used for multiple purposes."
},
{
"type": "smelting",
"link_recipe": true,
"recipe": "mysticalworld:lead_ingot_from_smelting",
"title": "Lead Ingot",
"text": "While thankfully not poisonous in this form, lead can be smelted into ingots using both a furnace and a blast furnace."
}
]
}
|
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{
"terms": [
"causes",
"is a",
"emits",
"releases",
"absorbs",
"who",
"where",
"when",
"inform",
"determine",
"address",
"lead",
"lag",
"suggest",
"contradict",
"agree with",
"question",
"influence",
"threaten",
"predict",
"mediate",
"complement",
"own",
"use",
"risk",
"confound",
"measure",
"relevant",
"equivalent",
"consistent with",
"inconsistent with",
"support",
"object",
"challenge"
]
} |
["56e0feff6829b65ead2a6c50110085b659e74b1b"] |
{
"selectLanguage" : "Idioma",
"language-en" : "Inglés",
"language-fr" : "Francés",
"language-es" : "Español",
"home" : "Inicio",
"about-me" : "Información",
"technologies" : "Tecnologías",
"skills" : "Habilidades",
"languages" : "Idiomas",
"studies" : "Estudios",
"experience" : "Experiencia",
"personal-projects" : "Proyectos",
"contact" : "Contacto",
"subtitle" : "Desarrollador Blockchain y Frontend",
"title-hello" : "!Hola!",
"title-name" : " Soy Joel",
"description" : "Soy un desarrollador web y estudiante de Ingeniería de Sistemas y Computación apasionado y creativo. Me encanta crear productos centrados en la experiencia humana y en la atención al detalle.✨",
"title-technologies" : "Tecnologías",
"description-technologies" : "A lo largo de mi carrera como desarrollador he podido aprender y trabajar con distintas tecnologías. De las cuales:",
"description-specialized-technologies" : "Me he especializado en:",
"description-more-technologies" : "Y también he trabajado con:",
"title-blog" : "Blog",
"title-softskills" : "Sobre Mí",
"description-softskills" : "Hola, mi nombre es Joel. Soy artista marcial, educador, bailarín y apasionado por la ciencia, la tecnología y la educación. Creo profundamente en nunca parar de aprender y crecer, encontrando nuevas maneras para enfrentarnos a nuevos desafios.",
"title-language" : "Idiomas",
"title-studies" : "Estudios",
"title-university" : "Universidad Nacional de Colombia",
"title-career" : "Ingeniería de Sistemas y Computación",
"title-career-platzi" : "Educación Complementaria",
"description-platzi" : "Soy estudiante de la mejor plataforma de educación online en Latinoamérica, expandiendo mis conocimientos en bases de datos y habilidades blandas.",
"description-university" : "Actualmente me encuentro cursando octavo semestre en una de las mejores universidades de Latinoamérica.",
"title-blockchain" : "Desarrollo Blockchain",
"description-blockchain" : "El EthDevProgram fue un programa intensivo de 3 meses realizado por la fundación Ethereum y Platzi, en donde me forme como Desarrollador Blockchain Junior junto con una comunidad de compañeros y mentores lideres en Latinoamérica en el ecosistema Blockchain, y en donde destaqué como uno de los mejores estudiantes, además de dinamizar y liderar varias sesiones de estudiantes.",
"title-experience" : "Experiencia",
"experiencies" : {
"experience1": {
"position" : "Lider de desarrollo",
"description" : "Lideré el equipo de desarrollo de producto y soporte de la empresa.",
"date" : "Agosto 2021 - Febrero 2022",
"responsability1" : "Liderar y coordinar equipos para el desarrollo de sitios web.",
"responsability2" : "Consultar con clientes para desarrollar y documentar los requerimientos de cada proyecto.",
"responsability3" : "Preparar y diseñar mock-ups y prototipos de producto.",
"responsability4" : "Planear, diseñar, escribir, integrar y testear el código para cada sitio web.",
"responsability5" : "Crear y optimizar el contenido para el sitio web."
},
"experience2": {
"position" : "Desarrollador Web Freelance",
"description" : "He trabajado como desarrollador independiente en la creación y desarrollo de sitios web.",
"date" : "date",
"responsability1" : "Consultar con clientes para desarrollar y documentar los requerimientos de cada proyecto.",
"responsability2" : "Preparar y diseñar mock-ups y prototipos de producto.",
"responsability3" : "Planear, diseñar, escribir, integrar y testear el código para cada sitio web.",
"responsability4" : "Crear y optimizar el contenido para el sitio web."
},
"experience3": {
"position" : "Educador popular voluntario de física",
"description" : "Tuve la oportunidad de participar como educador en el área de física en el colectivo de educación popular Sotavento, dando y apoyando clases para jóvenes y adultos que aspiraban a acceder a la educación superior.",
"date" : "Marzo - Agosto 2021",
"responsability1" : "Preparar y diseñar material de estudio para los estudiantes.",
"responsability2" : "Dictar y apoyar clases a grupos grandes de estudiantes, de acuerdo a sus necesidades.",
"responsability3" : "Proponer y realizar experimentos científicos y actividades interactivas para los estudiantes."
},
"experience4": {
"position" : "Desarrollador de Chatbots",
"description" : "Trabajé en el diseño y desarrollo de Chatbots multiplataforma con Dialogflow de Google Cloud.",
"date" : "Julio - Noviembre 2017",
"responsability1" : "Preparar y diseñar mock-ups y prototipos de producto.",
"responsability2" : "Planear, diseñar, escribir, integrar y testear el código para el desarrollo de Chatbots.",
"responsability3" : "Llevar a cabo test de calidad, seguridad y usabilidad."
}
},
"title-projects" : "Mis Proyectos",
"subtitle-projects" : "Proyectos destacados",
"subtitle-more-projects" : "Otros proyectos",
"show-more-projects" : "Ver Más",
"show-less-projects" : "Ver Menos",
"projects": {
"project1" : {
"title": "Generador de frases celebres de Breaking Bad",
"description" : "Generador aleatorio de frases celebres de la serie Breaking Bad usando un API."
},
"project2" : {
"title": "CotizApp",
"description" : "Simulador de calculadora de seguros para autos."
},
"project3" : {
"title": "App de Presupuesto",
"description" : "Aplicación para administrar y gestionar tu presupuesto personal."
},
"project4" : {
"title": "Mascotas App",
"description" : "Gestor de citas de veterinaria para tus queridas mascotas."
},
"project5" : {
"title": "Tarjeta de presentación",
"description" : "Tarjeta tipo portafolio de presentación con controles deslizantes."
},
"project6" : {
"title": "Redhus.org",
"description" : "Sitio oficial de La red popular de derechos humanos de Bogotá Redhus."
},
"project7" : {
"title": "Web portafolio de presentación",
"description" : "Web con diseño de portafolio para desarrolladores y diseñadores."
},
"project8" : {
"title": "Xilófono JS",
"description" : "Xilófono interactivo hecho en JS."
},
"project9" : {
"title": "Proyecto Gokubos",
"description" : "Aplicación para Windows desarrollada en Visual Studio, con diseño de Dragon Ball, que enseña al usuario a aprender a armar el cubo de Rubik"
},
"project10" : {
"title": "Invie",
"description" : "Encuentra tu guitarra Invie-sible."
},
"project11" : {
"title": "Petgram",
"description" : "Con Petgram puedes interactuar con las fotos de tus mascotas favoritas."
},
"project12" : {
"title": "Generador de personajes de Rick y Morty",
"description" : "Con esta aplicación puedes generar personajes aleatorios de Rick y Morty, leer su información y revisar el historial de personajes consultados."
},
"project13" : {
"title": "Aplicación descentralizada de Votación",
"description" : "Esta DApp es un sistema de votación que permite a una dirección Ethereum votar una única vez entre dos opciones."
}
},
"title-contact" : "Encuentrame como:",
"link-contact" : "Contactar",
"message-footer" : {
"first-part" : "Hecho con ",
"second-part" : " usando "
},
"rights" : "Todos los derechos reservados."
} |
{"poster":"SpIash","date":"2018-11-22T23:03:11.595+0000","title":"Insane Gaming Club Try Outs!!!!","subforum":"Reclutamiento","embed":{"description":"Por favor, poder completar los campos para mayor organización y credibilidad estamos en busca de jugadores totalmente competitivos y serios","url":"https://docs.google.com/forms/d/18VvwIlu-UdlrI9I_HSESMBZkztpph6fAT_i8ycd9vU8/edit","image":"https://lh4.googleusercontent.com/vMMf87GmIGt2oV1o8mIBfq-HVOqnDC9c4Ugpihz7w7-L-V7Z9BduLvZzPwncjL-8Hmc=w1200-h630-p"},"up_votes":3,"down_votes":2,"body":"Insane Gaming Busca Players para su roster principal!!!","replies":[{"poster":"iHave no friends","date":"2018-11-23T05:11:16.523+0000","up_votes":1,"down_votes":0,"body":"{{sticker:sona-playing}}","replies":[]}]} |
{"poster":"Nerwal","date":"2016-09-11T03:04:40.603+0000","title":"Lvl 23, me emparejan con platino y encima trolls","subforum":"Charlas Generales","up_votes":1,"down_votes":10,"body":"Prefiero que me emparejen con gente que nunca jugo, a los platinos mancos, increible el nivel de tilteo que tienen, mueren 1 vez y dejan de farmear, van a buscar kills desesperados mueren mueren mueren asi toda la partida flamean, que asco dios mio, eso es el verdadero elo hell no conozco gente mas rata...","replies":[{"poster":"Sir Crucifix ","date":"2016-09-11T03:13:38.390+0000","up_votes":1,"down_votes":0,"body":"Son mains veigar esos","replies":[{"poster":"Nerwal","date":"2016-09-11T03:17:20.031+0000","up_votes":1,"down_votes":0,"body":"RazorDark, platino 4, con su premade \"smurfeando\", platino. \nLo mataron una vez, tilt a full, dejo de farmear, queria matar a todos, buscaba kill desesperado, el platino se fue dejo a su premade fue a mid, gg partida, los 2 platinos trolleando.","replies":[{"poster":"Sir Crucifix ","date":"2016-09-11T03:26:21.604+0000","up_votes":2,"down_votes":1,"body":"> [{quoted}](name=Nerwal,realm=LAS,application-id=v7qsfXsE,discussion-id=BW4jUyIA,comment-id=00000000,timestamp=2016-09-11T03:17:20.031+0000)\n>\n> RazorDark, platino 4, con su premade "smurfeando", platino. \n> Lo mataron una vez, tilt a full, dejo de farmear, queria matar a todos, buscaba kill desesperado, el platino se fue dejo a su premade fue a mid, gg partida, los 2 platinos trolleando.\n\nDeben ser tipos que solo juegan rankeds y por suerte llegaron ahí , o como digo usaron algún pj como veigar master y asi de esos facilingos . Me fulminaran a negativos y me diran que estoy equivocado , pero nunca te tomes los elos en serio","replies":[{"poster":"LeonardoSB","date":"2016-09-11T03:35:12.079+0000","up_votes":2,"down_votes":0,"body":"https://lh6.googleusercontent.com/eUXxd_DkOzk4J5vzd45WHYPkyzVtpaiwbIc7hF57GVA=w320-h259-no","replies":[]}]}]}]},{"poster":"9081913DEL1","date":"2016-09-11T11:30:34.921+0000","up_votes":1,"down_votes":0,"body":"Mira por lo que se ve de su historial, llego a platino 5 por eso de jugando entre malos tambien se gana. 0 idea de buildeo kda malisimo hasta ganando etc. Tene en cuenta que hasta oro se llega chaseando kills nomas (stompeando partidas, por eso o ganan 30/5 o 0/45 mira la diferencia a challenger o maestro en la cantidad nomas jamas hacen un objetivo). asique bien hay un monton de platinos que no tienen otra idea que divear seguros de que van a killear a morgana y se quedan ahi hablando con la torre.\n\nSaludos.","replies":[]}]} |
{"paper": {"title": "Deep Reasoning Networks: Thinking Fast and Slow, for Pattern De-mixing", "authors": ["Di Chen", "Yiwei Bai", "Wenting Zhao", "Sebastian Ament", "John M. Gregoire", "Carla P. Gomes"], "authorids": ["di@cs.cornell.edu", "bywbilly@cs.cornell.edu", "wzhao@cs.cornell.edu", "ament@cs.cornell.edu", "gregoire@caltech.edu", "gomes@cs.cornell.edu"], "summary": "We introduce Deep Reasoning Networks (DRNets), an end-to-end framework that combines deep learning with reasoning for solving pattern de-mixing tasks, typically in an unsupervised or weakly-supervised setting. ", "abstract": "We introduce Deep Reasoning Networks (DRNets), an end-to-end framework that combines deep learning with reasoning for solving pattern de-mixing problems, typically in an unsupervised or weakly-supervised setting. DRNets exploit problem structure and prior knowledge by tightly combining logic and constraint reasoning with stochastic-gradient-based neural network optimization. We illustrate the power of DRNets on de-mixing overlapping hand-written Sudokus (Multi-MNIST-Sudoku) and on a substantially more complex task in scientific discovery that concerns inferring crystal structures of materials from X-ray diffraction data (Crystal-Structure-Phase-Mapping). DRNets significantly outperform the state of the art and experts' capabilities on Crystal-Structure-Phase-Mapping, recovering more precise and physically meaningful crystal structures. On Multi-MNIST-Sudoku, DRNets perfectly recovered the mixed Sudokus' digits, with 100% digit accuracy, outperforming the supervised state-of-the-art MNIST de-mixing models.", "keywords": ["Deep Reasoning Network", "Pattern De-mixing"]}, "meta": {"decision": "Reject", "comment": "The paper received mixed reviews of WR (R1), WR (R2) and WA (R3). AC has carefully read all the reviews/rebuttal/comments and examined the paper. AC agrees with R1 and R2's concerns, specifically around overclaiming around reasoning. Also AC was unnerved, as was R2 and R3, by the notion of continuing to train on the test set (and found the rebuttal unconvincing on this point). Overall, the AC feels this paper cannot be accepted. The authors should remove the unsupported/overly bold claims in their paper and incorporate the constructive suggestions from the reviewers in a revised version of the paper."}, "review": {"rJeunhge9r": {"type": "review", "replyto": "HkehD3VtvS", "review": "This work proposes a framework for solving de-mixing problems. The hard constraints from human inputs about a specific problem are relaxed into continuous constraints (the \"slow\" reasoning part), and a reconstruction loss measures the fitness of the inferred labels with the observations (the \"fast\" pattern recognition part). Due to the relaxation inference becomes an optimization problem, and on a Sudoku task and a crystal-structure-phase-mapping recovery task (both de-mixing tasks), the proposed method gets very good performance (100% for all Sudoku tasks including one in the appendix).\n\nPros:\n1. The method works well for the two demixing tasks.\n2. It \"led to the discovery of a new material that is important for solar fuels technology\"\n\nCons:\n1. The generative decoder seems to be pretrained on both tasks instead of learned (correct me if I misunderstood), and I'm not sure if this approach can work in cases where we don't have access to such a generative decoder, so branding the approach \"deep reasoning network\" might be an overclaim.\n2. No reasonable baselines are used: The supervised baseline in Sudoku does not use those handcrafted constraints at all. Given pretrained decoders, a reasonable baseline would be randomized optimization methods such as simulated annealing, which might also solve the two tasks listed here.\n3. This paper proposes a deep reasoning framework with relaxation and continuous optimization, but it is unclear whether this can solve general reasoning problems such as multi-hop QA or some NP-hard integer programming problems.\n\nQuestions:\n1. In algorithm 1, how are the penalty weights and thresholds adjusted?\n2. How to determine whether a run needs to restart?\n\nOverall this work points an interesting direction of combining reasoning and pattern recognition in the same network and the proposal works well on two de-mixing problems. However, I am not convinced that the proposed solution can generalize to tasks other than the tasks proposed here, and the usage of pretrained generative decoders undermines the significance of this work. Therefore, I am inclined to reject this paper.\n\n\n---updates after reading authors' rebuttal----\nThanks for revising the paper and addressing my concerns! However, my concern Con #2 has not been fully addressed. I think a reasonable baseline (at least for Sudoku) is simulated annealing, such as in https://www.researchgate.net/publication/220704743_Sudoku_Using_Parallel_Simulated_Annealing. I believe that with restarts those baselines would also solve the Sudoku problem.\n\nAnother concern I still have is the claim of \"reasoning\", and I'd suggest to narrow down the claim to be only on pattern de-mixing, since the reasoning part seems to be writing down continuous constraints from the discrete constraints (same as the concern in review #3). Although the proposed approach can solve some NP-C integer programming problems, it is unclear based on the experiments here whether it can work for general reasoning tasks (e.g., DROP https://allennlp.org/drop or listops https://arxiv.org/pdf/1804.06028.pdf) without writing new rules manually.\n\nBesides, after reading Reviewer 3's comments, I also feel it unsuitable to train DRNet (generalization) on test set for 25 epochs even though you made it explicit in the revised paper. I'd recommend removing that experiment since it doesn't change this work that much.\n", "title": "Official Blind Review #1", "rating": "3: Weak Reject", "confidence": 1}, "rJeDGGXzir": {"type": "rebuttal", "replyto": "HkehD3VtvS", "comment": "Dear Reviewers,\n\nThanks again for your time and comments. \n\nWe submitted a revised version addressing your comments and concerns. \n\nHere is a list of the changes, per your suggestions:\n\n(0) Changed the title to deep reasoning network for unsupervised pattern de-mixing\n\n(1) Changed intro paragraph.\n\n(2) Removed \u201cless closely related work\u201d paragraph.\n\n(3) Added an explanation of what a reasoning system is in the first paragraph of section \n\n \"Analogously, in a reasoning system, an inference procedure derives what follows from an initial set of axioms and rules. For example, in a standard 9x9 Sudoku, an inference procedure identifies the missing cell values of the input Sudoku. A constraint solver is a particular type of reasoning system in which axioms and rules are expressed as constraints and the inference procedure is a search method.\u201d\t\n\n\n(4) Added the comparison between DRNets to supervised models + local search to enforce Sudoku Rules (both the description and the table in Fig. 5). \n\n \"To saturate the performance of baseline models, we also applied a post-process local search for them to incorporate the Sudoku Rules. Specifically, we did a local search for the top-2 (top-3 would take too long to search) most likely choice of digits for each Sudoku of the two overlapping Sudokus and try to satisfy Sudoku rules with minimal modification compared with the original prediction.\"\n\n(5) Added a reconstruction loss heatmap to the Fig.7 to emphasize the different performance between DRNets and other baselines. Note how much better (greener) DRNets reconstruct the input spectrograms. \n\nIn the appendix:\n\n(6) Added detailed description of how to dynamically adjust the weights and the thresholds of penalty functions. [A.2, last paragraph of page 12.]\n\n(7) Added detailed description of how to apply the restart mechanism. [A.3 page 13]\n\n(8) Added detailed description and a figure to illustrate what a composition graph is. [A.4.2, first two paragraphs, page 14; Fig.11]\n\n(9) Added plots of the Bi-Cu-V oxide system to help people better understand the XRD phase mapping task. [Fig.13; Fig.14]\n\n\nAlso, thank you for pointing out the many positive and exciting aspects of this paper! \n \nReviewer #3: Your expertise: \u201cI have published one or two papers\u2026\u201d You are the most knowledgeable of the group. Your points are right on target concerning the potential and generality of DRNets! Please champion our paper!\n\nHere are some highlights from Reviewer #3:\n \n\u00b7 \u201cThe framework is simple yet ingenious.\u201d\n\u00b7 \u201cIt makes intelligent use of constraints in the form of regularization to guide the training of the encoder.\u201d\n\u00b7 \u201cFurthermore, it enables the direct design of the latent representation through the use of (pre-trained) generative models for constrained reconstruction of data points.\u201d\n\u00b7 \u201cThe proposed entropy-based method for relaxation of discrete constraints is intuitive and potentially adaptable for further constraints. \u201c\n\u00b7 \u201cThe experiments presented in this paper are well chosen. They demonstrate the contribution of the model to both general CV data as well as a specialized domain, where it can solve both simulated and real scenarios. \u201c\n\u00b7 \u201cThe paper provides an extensive literature survey, which makes it easy to embed the presented work in the proper context.\n \n \nReviewer #1 and #2: Your expertise: \u201cI do not know much about this area.\u201d We appreciate the time you put into the review and careful reading of the paper. You raise some valid points and point out very positive points about our paper. For example, the challenge of problems concerning crystal phase mapping that was way beyond the capabilities of human experts is in itself a major achievement! In fact, that is how our collaborators were able to discover new material for solar fuel technology. Nevertheless, we do feel that you underestimated the contributions of our paper and you were very harsh with your score. Please re-consider it and discuss it with reviewer#3!\n\nHighlights from Reviewer #1 and #2:\n\u00b7 \u201cThe method works well for the two demixing tasks. \u201c\n\u00b7 \u201c It \"led to the discovery of a new material that is important for solar fuels technology\"\n\u00b7 \u201cI like the general idea of this paper, since it has the flavor of combining deep learning with logic rules\u201d\n\nTo all: we are very proud of this work: It led to the discovery of new solar fuels and solved other unsolved crystal structure phase mapping problems. Phase mapping is a truly challenging problem. The framework is general and we believe it has a lot of potential for a variety of applications. We are actually applying it to generate 3D reconstructions of 2D images (e.g., for medical applications, to reconstruct bones from medical images) using medical prior knowledge and reasoning about the shape of the bones and body anatomy. We quickly edited the paper to address your concerns but of course, we are happy to further improve it based on your feedback. Thanks!", "title": "Revised version [minor revisions] and highlights of main contributions from reviewers."}, "SygAvwe-iB": {"type": "rebuttal", "replyto": "rkeTAUPAYH", "comment": "Thank you so much for appreciating our work!\n\nIndeed, we also included the performance of DRNets on some pure NP-C problems including original Sudoku problems and 3-SAT problems. You can check them in the last two pages of the appendix.\n\nThank you for pointing out the \"redundant\" part of the related work. We will consider erasing that paragraph to save space for other content. \n\n1. Thank you for pointing out the confusion of the \"generalization mode\" of DRNets. In fact, DRNets mainly target on \"solving\" unsupervised pattern de-mixing tasks, instead of generalization. Because in real tasks, such as crystal-structure phase mapping, we only have hundreds of data points, which is not enough to do any generalization.\nHowever, in Multi-MNIST-Sudoku, we found that by solving enough instances together, the network naturally could generalize to unseen instances. This phenomenon resembles a \"self-learning\" process, where we can actually learn a model without labels if we have enough unlabeled data points. Therefore, we think it is interesting to show this phenomenon in our paper. However, limited by space, we are sorry that we didn't address this properly. We do extra 25-optimization steps for improving the generalization performance on unseen instances, which increases the one-shot Sudoku accuracy from 50.5% to 75.7%. We use the validation set for determining the best # of extra optimizations. We will clarify this in the paper. \n\n2. We do appreciate that you read our paper thoroughly. To be honest, the crystal-structure phase mapping is a real-world task, which includes a lot of domain knowledge and details. Therefore, we proposed this Multi-MNIST-Sudoku task as a glimpse of the crystal-structure phase mapping. We are sorry for the confusing terminology in our description and we will include more details of this experiment to make it reproducible for other readers. In fact, we have organized our code as well as the dataset into a runnable package, and we will release it with a document for people to fully understand our code.\n\nFor your specific questions: \n(1) composition graph: Each XRD data point is associated with a 3-dimensional vector, denoting the percentage of 3 elements at that point (e.g., [a% of Li, b% of Fe, c% of Al]). Then you can locate each data point into the triangular system (note that, the vector is a probability distribution so that there are only 2 degrees of freedom and it can be plotted in a 2-D triangle.) Visually, we will have a composition graph like the triangle plot in Fig.10 (appendix). After locating each data point into the 2-D triangle as vertices, we did a Delaunay triangulation over those points to build edges among vertices. Finally, we did a Breadth-First Search on this graph to sample paths.\n\n(2) restart mechanism for Multi-MNIST: Since DRNets directly incorporate logical constraints, we can check whether those constraints are satisfied at the end of a run. If not, for instances with violated constraints, we re-run the algorithm again on them. We didn\u2019t restart for crystal-structure phase mapping.\n\n(3) 6 phases out of 159 possible phases: Though there are 159 possible pure phases for the Al-Fe-Li-O system, only 6 of them appear and there are 15 mixtures of those 6 pure phases exist in this system. For the Bi-Cu-V-O system, there are 13 pure phases and 19 different mixtures. Note that, each XRD data point is like a cell in the Multi-MNIST-Sudoku (with mixed pure phases) and each pure phase is like a digit. For Multi-MNIST-Sudoku, we know a priori that there are exact 2 digits in each cell but the number of mixed pure phases in each XRD is from 1 to 3. Moreover, the number of possible candidate phases is way more than possible digits (e.g., 159 vs 10), which is the reason why this task is so challenging. We will make this point more clear in our final version. \n\n3. Dynamic update of penalty weights: please check similar response to reviewer #1(Q1)\n\n4. The constraint graph shows how data points are linked through different constraints. Yes, you can think of it as a collection of sets when we can batch each maximal connected component together. When it comes to the case of XRD, the graph is fully-connected due to global constraints. Therefore, we no longer batch the maximal connected component together but sample a path in this graph to reason about a local structure of those global constraints. Though the constraint graph is a fully-connected graph, we prefer to sample paths in the composition graph, given it is easier to reason about those thermodynamic rules on a path of composition graph.\n\n5. The reasoning does happen in DRNets: See comments to reviewer #2\n\nThanks again! We believe this framework is indeed quite \u201cingenious :-)!\u201d expandable for other constraints and domains, very relevant for scientific unsupervised tasks with rich prior-knowledge. We will improve the description of our problem domains and we hope you champion this paper! ", "title": "Details of experiments and clarification of the \"generalization mode\" "}, "B1x1WllbsH": {"type": "rebuttal", "replyto": "rJeunhge9r", "comment": "\u201cPros:\n1. The method works well for the two de-mixing tasks.\n2. It \"led to the discovery of a new material that is important for solar fuels technology\"\n\nThese are not small achievements :-)! \n \nCon#1: The generative decoders are either a pre-trained or a parametric model (GMM), which is learned/obtained using prior knowledge. For example, we assume that we have prototypes of single hand-written digits in Multi-MNIST-Sudoku and we have the ICDD database to provide pure phase patterns. Note DRNets target unsupervised/weakly-supervised pattern de-mixing tasks, where we don\u2019t have ground-truth labels for the de-mixed patterns. Therefore, without any prior knowledge of what single patterns may look like, the de-mixing tasks are ill-posed and intractable. Indeed, such prior knowledge is necessary even for human experts to solve those tasks. Thus, having access to the prior knowledge of possible single patterns, which can be used to build the generative decoder, is a very practical and reasonable assumption for unsupervised/weakly-supervised de-mixing tasks. \n\nPlease see the explanation to reviewer#2 about DRNets\u2019 reasoning system.\n \nCon#2: The Multi-MNIST-Sudoku experiment is just a simplified example of the challenging task \u2014 crystal-structure phase mapping. Our comparison is to show how we can boost pure deep learning models by incorporating prior knowledge such as rules and constraints. We compared our unsupervised methods with state-of-the-art supervised approaches. Thus, the baseline models have label supervision while DRNets \u201creason\u201d about rules. We thought that it was a fair comparison. Moreover, we also tried your suggestion of using Sudoku rules for ResNet and CapsuleNet. Specifically, we did a local search for the top-2 most likely digits (one from 1-4 and another one from 5-8) for each Sudoku of the two overlapping Sudokus and try to satisfy Sudoku rules with minimal modification compared with the original prediction. The process took about 3 hours (we can't try top-3, it takes too long) for each model and increased their Sudoku accuracy from 68.5% -> 88.3% (ResNet) and 50.9% -> 57.8% (CapsuleNet). Though imposing Sudoku rules for these baselines could improve their performance, the barrier between the deep learning model and the post-process reasoning (local search) makes their performance far from DRNets' 100% accuracy. This further confirmed the advantage of combining deep learning and logical reasoning seamlessly and we are happy to include this in our paper. Thanks for the great suggestion. \n \nFor crystal-structure phase mapping, we have compared our model with the state-of-the-art approaches in this area, i.e., NMF-k and IAFD, where IAFD has directly incorporated all constraints as we have and NMF-k incorporated those constraints indirectly. Therefore, these two models are the best baselines we can have so far.\n \n \nQ1: We initialize penalty weights and thresholds for penalty functions using hyper-parameters. During training, we check the satisfiability of constraints after several epochs and increase the penalty for violated constraints. This mechanism is mainly designed for Crystal-Structure Phase Mapping because DRNets can already achieve perfect performance for Multi-MNIST-Sudoku with fixed weights. For example, the threshold c of k-sparsity is initialized as logk, which is the entropy of the case that the probability mass is evenly distributed among k entities. Thus, it could be the case that there are more than k entities, but their probability mass is not evenly distributed. Hence, we check the satisfiability of k-sparsity constraint: if the entropy is already below the current threshold (logk) and there are still more than k entities with probability mass more than epsilon (0.01), we decrease the threshold c to keep enforcing the model to minimize the entropy to reach the k-sparsity.\n \nQ2:\nSince DRNets directly incorporate logical constraints, we can check whether those constraints are satisfied at the end of a run. For the instances violating constraints, we re-run the algorithm again.\n\nCon#3 and \u201cI am not convinced that the proposed solution can generalize to tasks other than the tasks proposed here\u201d:\nIndeed, the DRNet framework is general and we do have some results for pure NP-C problems such as original Sudoku (9x9) and 3-SAT problems. Please check the appendix, where we show that DRNets outperform existing state-of-the-art deep learning methods for those pure NP-C problems. For example, DRNets solve 3-SAT, 100 literals and 430 clauses, which is above the capability of existing deep learning methods. Note, however, DRNets are mainly meant for problems that require combining the pattern recognition and logical reasoning instead of pure reasoning problems.\n\nDRNets are relevant to other scientific tasks and even other domains. Also, as you recognize, our results are very good for these tasks, leading even to new discoveries. We hope you re-consider our score. Thanks!\n", "title": "DRNets are general and our baselines are reasonable"}, "Bkg7_fyWoB": {"type": "rebuttal", "replyto": "ByxENYaL9r", "comment": "Thank you for your review. Yes, we \"stand on the shoulders of giants,\" but what makes our framework novel (not incremental) is the unique combination of ideas to deal with challenging unsupervised or weakly-supervised pattern de-mixing problems. \n\n\"It is far away from the concept of (symbolic or logic) reasoning.\u201d We disagree with this comment (see e.g, https://en.wikipedia.org/wiki/Reasoning_system). Reasoning system: given a set of axioms and rules, an inference procedure computes what follows. For example, in standard Sudoku, the inference procedure finds the values for missing cells. In logic, the axioms and rules can be written using propositional logic and the inference engine can be e.g., resolution or resolution and search, etc. Another example of a reasoning system is a constraint solver. In our case, we show how to encode the problem as a constraint optimization problem, encoding the Sudoku (and phase mapping ) rules using entropy-based functions and then use Lagrangian relaxation, and constraint-aware SGD to do the reasoning. In the appendix, we show that DRNets can solve standard Sudokus to further illustrate how DRNets can infer (\u201creason about\u201d) the missing values. But DRNets also reason about Sudoku rules (and thermodynamic rules) to make sense of the noise input patterns. A typical logical reasoning system cannot reason about noisy data: in contrast, the strength of deep reasoning is to be able to make sense of noisy patterns. That is a key novelty of our approach \u2013 we combine pattern recognition using deep learning with explicit constraint reasoning about rules, encoded through entropy-based functions and Lagrangian relaxation plus constraint-aware SGD. This combination of so many ideas makes our framework very powerful.\n\n\"Harnessing deep neural networks with logic rules, ACL 2016\" also utilizes logic rules to enhance deep learning. Good point. However, their framework is totally different from ours. We didn't compare with them because their framework is only applicable to **supervised** settings, where they have massive labeled data points as their main supervision, which diminishes the role of logic rules. In their experiments, the logic rules only increase their performance by less than 0.5%. Again, note that in contrast we are mainly interested in\nunsupervised/weakly-supervised settings for which we do not have labels for the mixtures, but we have only prototypes or idealized versions of what the digits or (phases) look like - for example, for the phase mapping not only do we only have unlabeled mixture data we also\nonly have a few data points (<500). The MNIST is not a good representative of these challenges since we can generate a large number of Sudokus (10,000). Also, in the MNIST we deal with 10 digits while in the phase mapping we can have possibly hundreds of pure phases (e.g., 159 for Al-Fe-Li). Furthermore, in the MNIST setting, we assume that there are always two overlapping digits: in the phase mapping, we do not know a priori how many phases are overlapped, which increases the combinatorial complexity of the problem and makes it even more important that the system could reason about the underlying thermodynamic rules.\n\nThanks for appreciating our experiments.\n\n\u201cHowever, some baselines are also doing pretty well, indicating that the task is not difficult in general\u201d: The baselines actually perform poorly in both tasks: In Multi-MNIST-Sudoku, the baselines could only recover less than 70% overlapping Sudokus even with the supervision of labeled data points (which DRNets don\u2019t have). In contrast, DRNets (with the supervision of the rules) recover 100% Sudoku puzzles without any labeled data. The difference in crystal-structure phase mapping is even more significant. For the Al-Fe-Li system, the phase diagram (Fig.7) recovered by baselines are far from the ground-truth while DRNets perfectly recovered it. For the Bi-Cu-V system, none of the baselines could generate a meaningful solution (the phases discovered by both IAFD and NMF-k are far from real phases (huge phase-fidelity loss); the solutions from both IAFD and NMF-k break the thermodynamic rules) and as far as we know DRNet is the first model that can solve this system. \n\n\"I am not a big fan of some big claims in the paper.\" We understand your comment. But at the same time, there are advantages of seeing the \"big picture\". In fact, thinking of this framework as a general reasoning framework expanded our horizons and was very helpful for the students and senior researchers to have a broader perspective of its possibilities. For example, that led to the phase mapping application and we are now applying it to other problems in seemingly different domains such as species distributions for which there is prior knowledge about constraints on the species interactions and other settings.\n\nThanks again, please let us know if you have additional questions. \n", "title": "Contribution beyond incremental and reasoning"}, "rkeTAUPAYH": {"type": "review", "replyto": "HkehD3VtvS", "review": "This paper proposes a new encoder-decoder framework that combines prior knowledge-based regularization and constrained reconstruction for unsupervised and weakly-supervised classification in structure rich scenarios. This framework injects prior knowledge in the form of relaxed constraints that act as regularization during the training of the encoder network. Some of the constraints concern sets of training examples. In this case, the paper proposes corresponding sampling schemes. Three experiments demonstrate the efficacy of the model. The first is a synthetically created 4x4 Sudoku made of overlaid MNIST digits. The other two are based on predicting crystal structures from x-ray diffraction measurements. Here, the first experiment is on simulated data for the Al-Li-Fe oxide system, while the other is performed on real measurements for the Bi-Cu-V oxide system.\n\nOverall, I believe that the proposed framework could be a significant contribution to the fields of representation learning and constrained optimization. However, the paper exhibits serious shortcomings, which require revision. \n\nFirst, the positive aspects of the paper:\n\u2022\tThe framework is simple yet ingenious. It makes intelligent use of constraints in the form of regularization to guide the training of the encoder. Furthermore, it enables the direct design of the latent representation through the use of (pre-trained) generative models for constrained reconstruction of data points.\n\u2022\tThe proposed entropy-based method for relaxation of discrete constraints is intuitive and potentially adaptable for further constraints.\n\u2022\tThe experiments presented in this paper are well chosen. They demonstrate the contribution of the model to both general CV data as well as a specialized domain, where it can solve both simulated and real scenarios.\n\u2022\tThe paper provides an extensive literature survey, which makes it easy to embed the presented work in the proper context. However, I propose to remove the paragraph titled \u201cOther less closely related work\u201d as the connection to the current work is not clear, and the space could be used more effectively (see below).\n\nUnfortunately, this paper has a couple of major flaws:\n\u2022\tThe results for DRNets (Generalization) on the MNIST Sudoku are compromised because the model trained on the test set for 25 epochs after being trained on the training set. Honestly, I was baffled to read the following sentence in the appendix: \u201cNote that, during the test, instead of predicting the overlapping digits directly as other networks, we further optimize DRNets on the test set for 25 epochs to achieve a better result.\u201d What is more, the main paper does not even mention this fact!\n\u2022\tAlthough this paper relies on empirical verification of its proposition, the experimental results are almost impossible to interpret with just the information provided in the paper. Both experiments are poorly described, and even after reading the appendix several times, some serious detective work was necessary to piece together what happened in the experiments. The XRD experiments are especially hard to decipher, even with a physics background. Many vital components remain shrouded in mystery: What is a composition graph, and how are the paths sampled from it? How does the restart method, which is part of the results, work? Why are only six phases shown in the phase concentration visualizations if there were 159 possible phases? Are these the first six, a random subset, or were the other phases not realized?\n\u2022\tThe paper introduces the constraint-aware SGD algorithm to incorporate batching rules into the training of the encoder. On pages 2 and 6 and in Algorithm 1, I found the statement that the weights for each constrained are updated dynamically. However, that is where the information on the dynamic update method ends. Nowhere in the paper or the appendix did I find an explanation of how this is done. As this mechanism is a critical component of the proposed framework, the absence of an explanation is a significant oversight.\nOther remarks:\n\u2022\tIn the context of global constraints, the paper talks about a constraint graph. If I understand the creation of this graph correctly, this graph has several connected components in which every element connects to every other element. As such, this seems to be a collection of sets rather than a real graph. This is especially confusing in the case of XRD, where all data points are in the same global constraint, leading to a fully connected \u201cgraph\u201d.\n\u2022\tAlthough I appreciate the reference to Kahneman\u2019s model of the mind, I suggest to remove the first two paragraphs from the introduction and use the space to motivate the de-mixing problem instead. While it is a compelling (but not novel) observation, the analogy to system 1 and system 2 does not benefit the proposed work in the slightest.\n\u2022\tIn general, I fail to see the connection between reasoning and the proposed work. The model itself is an encoder-decoder network that cannot reason. It does not discover any new rules during training. All the reasoning has to be done manually beforehand to be then incorporated in the form of constraints. To clarify, I do believe that there is value in the presented work, but not necessarily in the way, it is advertised.\n", "title": "Official Blind Review #3", "rating": "6: Weak Accept", "confidence": 3}, "ByxENYaL9r": {"type": "review", "replyto": "HkehD3VtvS", "review": "This paper introduces a deep reasoning networks for de-mixing overlapping patterns with some logic constraints. There are two applications considered in the paper: de-mixing overlapping hand-written digits and inferring crystal structures of materials from X-ray diffraction data. The experiments indicate the proposed method work pretty well on these tasks.\n\nI like the general idea of this paper, since it has the flavor of combining deep learning with logic rules, although I feel weird to view the generative decoder as thinking fast and the reasoning modules as thinking slow. The notion of thinking fast and slow in the model does not well match the intuition given in the first paragraph of the introduction. The so-called reasoning module is essentially some contraints (i.e., regualrization losses) and a training data sampler. It is far away from the concept of (symbolic or logic) reasoning. There is not too much reasoning happening here. The way the paper relaxes the discrete logic constraints to continuous and differentiable objective that can be jointly optimized by SGD is interesting, which is similar to [Harnessing deep neural networks with logic rules, ACL 2016]. The carefully designed training data sampler that samples data according to a constraint graph also resembles GraphRNN, as the authors have mentioned in the paper. I feel the combination of these techniques is definitely interesting but also somehow incremental. I am not a big fan of some big claims in the paper. The reasoning modules are not what I expect.\n\nFor the experiments, I think the authors do a good job presenting these experimental details and evaluations. These experiments are interesting and also show some advantages of the propose method. However, some baselines are also doing pretty well, indicating that the task is not difficult in general.", "title": "Official Blind Review #2", "rating": "3: Weak Reject", "confidence": 1}}} |
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{"poster":"SEW iLLanes27","date":"2017-05-25T08:23:07.393+0000","title":"Bug me jode la ranked.","subforum":"Charlas Generales","up_votes":2,"down_votes":0,"body":"Estaba jugando una partida clasificatoria de mi promo cuando de repente se me apaga la pc, reconecto y abro el lol y de la nada aparece un cartel que dice "actualizamos el juego a una versión anterior" entonces,el maravilloso juego este no me deja entrar,no me acepta la contraseña y me hace quedarme afk toda la partida.La verdad lamentable.{{champion:157}} {{champion:11}}","replies":[]} |
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"title": "Achtung! Feind h\u00f6rt mit!",
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"text": "Man schreibt das Jahr 1938. Das Interesse ausl\u00e4ndischer Spione an den Entwicklungen deutscher R\u00fcstungsbetriebe nimmt zu. Besondere Zielscheibe sind die Kettwig-Werke, deren Chefingenieur Dr. Hellmers eine neuartige Legierung zur Herstellung von Dr\u00e4hten f\u00fcr Ballonsperren erfunden hat. Hellmers und sein Chef, der alte Kettwig, trauen niemandem mehr vollst\u00e4ndig, auch nicht Juniorchef Bernd Kettwig und Hellmers Assistentin Inge Neuhaus, die das Geheimnis des Drahtes ebenfalls kennen.\nDie Bef\u00fcrchtungen der Werksleitung scheinen sich zu bewahrheiten. W\u00e4hrend Inge die Bekanntschaft eines aufregenden Verehrers, des Abenteurers Karl Faerber, macht und mit ihm durch die Stra\u00dfen der Gro\u00dfstadt zieht, erliegt Bernd dem Charme der verf\u00fchrerischen Lilly, einer Freundin Faerbers und Inhaberin eines Modesalons. Keiner der beiden ahnt, dass Faerber in Wirklichkeit ein Spitzenagent der Briten ist und Lilly seine Agentenkomplizin. Gleichzeitig treten die Feindm\u00e4chte auch an weitere Werksangeh\u00f6rige heran. Nolte, der Kantinenkellner der Kettwig-Werke, ist wegen Darlehensschulden erpressbar, ebenso der spiels\u00fcchtige Zeichner Grelling.\nNach einer Weile wird Nolte infolge seines verd\u00e4chtigen Verhaltens durch wachsame Arbeiter als ausl\u00e4ndischer Agent erkannt. Er kann zun\u00e4chst fl\u00fcchten, wird aber sp\u00e4ter von der franz\u00f6sischen Polizei an Deutschland ausgeliefert. Grelling schafft es zwar, heimlich wichtige Dokumente abzufotografieren, ger\u00e4t aber unter Verdacht, als das Werk wegen des durch Nolte verursachten Agentenalarms streng durchk\u00e4mmt wird. Grelling versucht noch, die Kamera Inge unterzuschieben, verr\u00e4t sich aber bei der Nachricht \u00fcber die Auslieferung Noltes selbst. Inge hat inzwischen ihren vermeintlichen Freund durchschaut, wendet sich von Faerber ab und meldet ihn. Zur selben Zeit erkennt Bernd, dass Lilly ebenfalls eine Agentin ist, und \u00fcbergibt sie den Beh\u00f6rden.\nFaerber gelingt es zun\u00e4chst, einer Verhaftung zu entgehen und mit dem Sportflugzeug von Bernd zu starten. Doch inzwischen ist eine Ballonsperre aktiviert und eine Staffel Abfangj\u00e4ger gestartet worden. Faerbers Maschine bleibt in der Ballonsperre h\u00e4ngen und st\u00fcrzt ab, er kommt dabei ums Leben. Der Film endet mit der Bekanntgabe der Hinrichtung von Grelling und Nolte sowie der Warnung, gegen\u00fcber ausl\u00e4ndischen Spionageversuchen stets wachsam zu bleiben.\n"
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{"response": {"status": "ok", "userTier": "developer", "total": 1, "content": {"id": "uk/2005/sep/29/july7.comment", "type": "article", "sectionId": "uk-news", "sectionName": "UK news", "webPublicationDate": "2005-09-28T23:05:47Z", "webTitle": "Gerald Oppenheim: Labelling the LBRCF as villains is unjust", "webUrl": "https://www.theguardian.com/uk/2005/sep/29/july7.comment", "apiUrl": "https://content.guardianapis.com/uk/2005/sep/29/july7.comment", "fields": {"headline": "We are doing all we can for victims of the London bombs", "bodyText": "Monday's leader column cast the London Bombings Relief Charitable Fund (LBRCF) as a villain (Heroes and villains, September 26). Since the fund is the first and only body to have so far given any financial help to the victims of the July 7 attacks, it was obviously a shock to be told this. On July 6, the fund did not exist. A fortnight after the bombings, it was already writing cheques to victims for their urgent needs. We knew that people would have an immediate need for cash to tide them over and so we got it to them quickly with a promise of more to come for the most seriously affected. We have already paid out more than 240 grants to the bereaved and the seriously injured, worth almost \u00a31m; \u00a310,000 has been available for every bereaved family, and \u00a36,000 for anyone who was in hospital for more than a week. Grants announced last week, and available now, total around \u00a33m, bringing the help offered to \u00a330,000 for one of the most gravely injured, more than \u00a320,000 for someone who has lost a limb, and up to \u00a325,000 for a bereaved family with two children. All of the rest of the almost \u00a39m in the fund will be used to benefit the victims of the bombings. We want to press ahead with deciding exactly how to distribute the money. But we also have to make sure that all the victims' needs are taken account of, and we are still learning some of the things we need to know. It isn't a simple case of dividing the money in the fund between 100 people, as the column implied. Initially, for example, we used fairly simple measures like time spent in hospital to help us give out grants. Now we are asking victims and their doctors to give us details of their injuries so that we can target payments more closely on need. And a lot more than 100 people are involved. As well as the 52 bereaved families, and about 50 people who were seriously injured, there are another 50 who were injured and hospitalised overnight. There are also those who were physically or psychologically harmed, but who have not yet had help from the fund, so we are now offering help to those who were medically certified as unfit for four weeks or more. Exactly how many are in this position we don't yet know. Comparing us with the Criminal Injuries Compensation Scheme is like comparing apples and oranges. The LBRCF is not making compensation payments. Grants from the fund are charitable payments that are an expression of the generosity and compassion of the many individuals and companies that have donated cash to help the victims. It's easier for us because we don't have to follow detailed rules set in legislation. We have been able to take decisions to get money to the bereaved and the seriously injured with the minimum of fuss, and without having to worry about consistency with many thousands of victims of other violent crime. Of course we welcome anything the government can do to speed up its help to the victims. Meanwhile, we are doing all we can as quickly as we can, and believe that others are doing their best too. Unjustly labelling us as \"villains\" achieves nothing and helps nobody. Gerald Oppenheim is the chair of the board of trustees of the London Bombings Relief Charitable Fund www.lbrcf.org.uk If you wish to respond, at greater length than in a letter, to an article in which you have featured either directly or indirectly, please email response@theguardian.com or write to Response, The Guardian, 119 Farringdon Road, London EC1R 3ER. We cannot guarantee to publish all responses, and we reserve the right to edit pieces for both length and content."}, "isHosted": false, "pillarId": "pillar/news", "pillarName": "News"}}} |
{
"collections": [
"Hogtied"
],
"description": "After missing her first flight and canceling, we gave her a second chance and she missed the flight again, then arrived 2 \u00bd hours late. After talking briefly she informed us she didn't know it was a hardcore bondage shoot. Hogtied is not for everybody and for this shoot we toned it down many levels. Before I stopped the shoot she did a great job. A note to future models, please take the time to find out what you're signing up for before you go to any shoot.",
"directors": [
{
"name": "Matt Williams",
"person_id": 51
}
],
"models": [
{
"name": "Morgan March",
"person_id": 6564
}
],
"release_date": "2004-11-30",
"scene_id": 2512,
"tags": [
"Ball Gag",
"BDSM",
"Blonde",
"Bondage",
"Corporal Punishment",
"Domination",
"Extreme Torment",
"Fingering",
"Handler",
"Humiliation",
"natural boobs",
"Rope Bondage",
"slim",
"Straight",
"Submission",
"toned",
"Vaginal Penetration",
"white"
],
"title": "Morgan March"
} |
{
"directions": [
"Preheat an oven to 350 degrees F (175 degrees C). Fill a large pot with lightly salted water and bring to a rolling boil over high heat. Once the water is boiling, stir in the egg noodles and return to a boil. Cook the pasta uncovered, stirring occasionally, until the pasta has cooked through, but is still firm to the bite, about 5 minutes. Drain well in a colander set in the sink.",
"While the pasta is cooking, stir the tuna, condensed soup, peas with mushrooms and onions, onion, milk, salt, and pepper in a bowl until evenly mixed. Gently stir in the cooked pasta, then pour the mixture into a 9x13 inch baking dish. Sprinkle evenly with dry bread crumbs.",
"Bake in the preheated oven until the casserole is bubbling and the bread crumbs are golden brown, about 20 minutes."
],
"ingredients": [
"1 1/2 (8 ounce) packages egg noodles",
"1 (9 ounce) can tuna, undrained",
"1 (10.75 ounce) can condensed cream of mushroom soup",
"1 (15 ounce) can peas with mushrooms and pearl onions (such as Le Sueur\u00ae), undrained",
"1 onion, chopped",
"1/2 cup milk",
"salt and black pepper to taste",
"1/2 cup dry bread crumbs"
],
"language": "en-US",
"source": "allrecipes.com",
"tags": [],
"title": "Trish's Tuna Casserole",
"url": "http://allrecipes.com/recipe/112890/trishs-tuna-casserole/"
}
|
{"poster":"[NEM SIKERÜLT KIOLVASNI]","date":"2019-10-25T16:54:47.880+0000","title":"TFT: aspectos de la Arena nuevos","subforum":"Anuncios","up_votes":0,"down_votes":0,"body":"[ÜRES]","replies":[{"poster":"Nashask","date":"2019-10-25T21:58:32.473+0000","up_votes":13,"down_votes":0,"body":"Una de las mejores cosas que tenia TFT era que se podia acceder a las mejoras visuales del Mapa simplemente dedicandole horas al juego. Una lastima que no siguieran con eso, pero se ven excelentes! Mis dieces. ","replies":[]},{"poster":"DarkNe0","date":"2019-10-26T08:16:00.416+0000","up_votes":4,"down_votes":3,"body":"Pagar por conseguir Minileyendas buenas, pagar si queres subirlas de nivel, pagar por las arenas...¿que será lo próximo?¿pagar para tener buena suerte en la partida?","replies":[{"poster":"Valvetronix","date":"2019-10-29T18:08:05.850+0000","up_votes":7,"down_votes":0,"body":"Queres pagar para jugar? porque la unica forma de que el juego sea gratis es gracias a los skins, minileyendas, arena, etc. que no influyen en nada a como te ira luego en la partida (2019 y hay que explicar esto todavia)","replies":[]}]},{"poster":"Gammbo","date":"2019-10-26T01:19:31.877+0000","up_votes":6,"down_votes":0,"body":"Estan geniales, espero que se puedan conseguir algunas con las misiones.{{sticker:slayer-jinx-wink}} ","replies":[]},{"poster":"tomoki07","date":"2019-10-25T22:56:58.287+0000","up_votes":5,"down_votes":0,"body":"conoce a mi amigo billetin?\r\n\r\nRiot\r\nmi momento ha llegado","replies":[]},{"poster":"QuantumTraveler","date":"2019-10-26T05:56:04.308+0000","up_votes":3,"down_votes":0,"body":"¡Oh vaya! más contenido mediante RP {{sticker:sg-lulu}} ","replies":[]},{"poster":"Doctor Rata","date":"2019-10-26T00:23:10.121+0000","up_votes":3,"down_votes":0,"body":"Uff que buenas que están estas...\r\nPero que porquería hay que pagar. ","replies":[]},{"poster":"Runth","date":"2019-10-25T18:23:37.856+0000","up_votes":3,"down_votes":0,"body":"meh","replies":[]},{"poster":"Hasthy","date":"2019-10-26T03:55:05.660+0000","up_votes":2,"down_votes":0,"body":"Las 3 primeras tienen exactamente el mismo modelo base, tan sólo le cambian un poquito las luces y unos detallitos. No pueden costar tan caro si reutilizan el mismo modelo para 3 skins. Y el descuento no tiene peso de ser, porque solamente es si quieres obtener las 3. El modelo no es único, por ende el precio debería estar repartido entre las 3, unos 460 rp cada una por la re-utilización del mismo modelo base y súmenle unos 300 rp extra por las luces y detalles, entonces sería un precio justo.","replies":[{"poster":"Elbowceo","date":"2019-10-26T21:04:05.467+0000","up_votes":1,"down_votes":0,"body":"es igual que con los campeones, es el mismo modelo pero con otros detallitos ( igual concuerdo con el precio, caro) djdjdjs","replies":[{"poster":"Hasthy","date":"2019-10-27T03:00:46.121+0000","up_votes":1,"down_votes":0,"body":"El mapa si lo ves, es exactamente igual. Con los campeones es distinto porque el modelo cambia según la ropa y efectos que éste deba llevar. Si bien en cuerpo y rostro no cambian, el desarrollo de la ropa es modelaje aparte. Pero eso es cosa de saber al respecto de modelaje 3D en Hi o Low Poly.","replies":[]}]}]},{"poster":"ElementalDragon","date":"2019-10-25T17:12:41.766+0000","up_votes":2,"down_votes":0,"body":"Sublime 😍","replies":[]},{"poster":"Dazkaz","date":"2019-11-06T16:11:41.636+0000","up_votes":1,"down_votes":0,"body":"falta mas contenido desbloqueable por jugar, porque por ahora cualquier niño con dinero puede ser re bueno comprandocosas ","replies":[]},{"poster":"EnriqueLXXIII","date":"2019-10-31T18:39:54.030+0000","up_votes":1,"down_votes":0,"body":"Se ven excelentes ojala ya se pudiera ver en el juego","replies":[]},{"poster":"MainStarGuardian","date":"2019-10-26T20:51:07.139+0000","up_votes":1,"down_votes":0,"body":"Era evidente que quisieran sacar probecho de TFT a parte de los huevitos. ","replies":[]},{"poster":"Aby17K","date":"2019-10-25T19:31:05.899+0000","up_votes":1,"down_votes":0,"body":"Majestuosas (☆☆☆☆☆)","replies":[]},{"poster":"Isumbras","date":"2019-10-28T00:51:57.892+0000","up_votes":2,"down_votes":4,"body":"Por cierto me perdi mis espatulas y mi pengu de la ronda anterior de TFT, seria interesante por ejemplo q ese contenido lo pongan a la venta con un poco de riot poins por ejemplo 20 rp´s o 50 rp´s para los que no pudieron conseguirlas, uno tiene vida y tiene q trabajar entonces no da tiempo, si fuera niño rata de repente podria conseguirlas pero el tiempo es poco...","replies":[{"poster":"andotroleando","date":"2019-11-06T02:40:10.217+0000","up_votes":1,"down_votes":0,"body":"?","replies":[{"poster":"Isumbras","date":"2019-11-07T10:57:22.064+0000","up_votes":1,"down_votes":1,"body":"Pues si del segundo pase Beta de TFT, del primero me perdí los dos iconos de la arena evolucionada (el rojo y el morado), del segundo me perdí el icono del Pengu en el portal y el icono de las espatulas, y ahora me pierdo mi huevo de minileyenda y el icono del pase Beta III, ya me cansó eso pq RIOT no da tiempo de terminar el pase Beta y ya me cansó luchar por nada, en cada caso siempre me faltó poco para obtener esos premios, y luego resetean todo y pierdo esos premios. Tengo una vida en el mundo real que a veces me quita tiempo y no puedo jugar como un niño rata, entonces es poco el tiempo que me dan para completar las misiones, aparte ayer hicieron mantenimiento y no me dejaron sacar los 100 puntos que me faltaron para obtener siquiera mi huevo de minileyenda, estoy ofuscado.","replies":[{"poster":"andotroleando","date":"2019-11-08T21:14:32.934+0000","up_votes":1,"down_votes":1,"body":"?","replies":[]}]}]}]},{"poster":"Isumbras","date":"2019-10-28T00:50:00.457+0000","up_votes":1,"down_votes":1,"body":"No pago por ellas, reservo mis RP´s para algo mejor como aspectos y esto es (porque ya son caras), me da igual jugar en un arenal o en cualquier tablero. De verdad la gente paga RPs por las arenas? Las minileyendas podria ser pero ya son caras tb. Riot debe concentrarse en pagos pequeños contenido extenso en lugar de contenido exclusivo pago doloroso... ","replies":[]}]} |
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{
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"description": "A simple app for collecting recipes. Tools: Backbone, Jasmine, Karma and Sinon.",
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},
"repository": {
"type": "git",
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},
"author": "",
"license": "ISC",
"bugs": {
"url": "https://github.com/rusandreev/recipes/issues"
},
"homepage": "https://github.com/rusandreev/recipes#readme",
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"05d4167153d1218445c45c8421243807\t{\"Parent\":\"Chrome 30.0 for Android\",\"Platform_Version\":\"5.1\",\"isTablet\":true,\"Device_Name\":\"Galaxy Tab S 8.4 LTE\",\"Device_Maker\":\"Samsung\",\"Device_Type\":\"Tablet\",\"Device_Code_Name\":\"SM-T705\",\"Device_Brand_Name\":\"Samsung\"}",
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"05d687df0a41c9671a17917c54eae1ba\t{\"Parent\":\"Chrome 74.0 for iOS\",\"Browser_Bits\":\"64\",\"Platform_Version\":\"12.4\",\"Platform_Bits\":\"64\",\"Device_Name\":\"iPhone\",\"Device_Type\":\"Mobile Phone\",\"Device_Code_Name\":\"iPhone\"}",
"05d748908a7fbafad8f1c664979eab5f\t{\"Parent\":\"DefaultProperties\",\"Comment\":\"YandexBlog\",\"Browser\":\"YandexBlog\",\"Browser_Type\":\"Bot\\/Crawler\",\"Browser_Bits\":\"0\",\"Browser_Maker\":\"Yandex LLC\",\"Platform_Bits\":\"0\",\"isSyndicationReader\":true,\"Crawler\":true,\"CssVersion\":\"0\",\"AolVersion\":\"0\"}",
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"05d7cfd1a744b776c5fb0bc87fe8ca1b\t{\"Parent\":\"Android Browser 3.2\",\"Platform_Version\":\"1.6\",\"Device_Pointing_Method\":\"unknown\"}",
"05d6af3ea33138c1de8c0381c4413f53\t{\"Parent\":\"Coast\",\"Platform_Version\":\"8.2\",\"Device_Name\":\"iPhone\",\"Device_Type\":\"Mobile Phone\",\"Device_Code_Name\":\"iPhone\"}",
"05d5e61b5b236219f9e1b750ba8a9cee\t{\"Parent\":\"Instagram App 37.0 for iOS\",\"Platform_Version\":\"9.1\",\"Device_Name\":\"iPhone\",\"Device_Type\":\"Mobile Phone\",\"Device_Code_Name\":\"iPhone\"}",
"05ddded0047a47ef3daea66025208dca\t{\"Parent\":\"Instagram App 101.0 for Android\",\"Platform_Version\":\"4.4\",\"isTablet\":true,\"Device_Name\":\"Galaxy Tab 3 10.1 3G\",\"Device_Maker\":\"Samsung\",\"Device_Type\":\"Tablet\",\"Device_Code_Name\":\"GT-P5200\",\"Device_Brand_Name\":\"Samsung\"}",
"05dd1dec2064036f8b5503f13d4723ea\t{\"Parent\":\"Instagram App 63.0 for Android\",\"Platform_Version\":\"4.4\",\"JavaApplets\":true,\"Device_Name\":\"Galaxy S4 (AT\\u0026T)\",\"Device_Maker\":\"Samsung\",\"Device_Code_Name\":\"SGH-I337\",\"Device_Brand_Name\":\"Samsung\",\"RenderingEngine_Name\":\"WebKit\",\"RenderingEngine_Description\":\"For Google Chrome, iOS (including both mobile Safari, WebViews within third-party apps, and web clips), Safari, Arora, Midori, OmniWeb, Shiira, iCab since version 4, Web, SRWare Iron, Rekonq, and in Maxthon 3.\",\"RenderingEngine_Maker\":\"Apple Inc\"}",
"05d426943cba66ac02b0e3eaf8f0c62c\t{\"Parent\":\"Stainless 0.6\",\"Platform_Version\":\"10.6\"}",
"05d56bb6023ab04656f875b01c236b16\t{\"Parent\":\"Firefox 50.0\",\"Browser_Bits\":\"32\",\"Platform\":\"MacOSX\",\"Platform_Version\":\"10\",\"Platform_Description\":\"Mac OS X\",\"Platform_Bits\":\"32\",\"Platform_Maker\":\"Apple Inc\",\"Device_Name\":\"Macintosh\",\"Device_Maker\":\"Apple Inc\",\"Device_Code_Name\":\"Macintosh\",\"Device_Brand_Name\":\"Apple\"}",
"05d9f1297e5fa79892cf87220e442c9a\t{\"Parent\":\"Firefox 34.0 for Android\",\"Platform_Version\":\"7.1\"}",
"05d3c1ec81bf6153200a9732413dae1a\t{\"Parent\":\"Firefox 21.0\",\"Browser_Bits\":\"64\",\"Platform\":\"FreeBSD\",\"Platform_Description\":\"FreeBSD\",\"Platform_Bits\":\"64\",\"Platform_Maker\":\"FreeBSD Foundation\",\"Device_Name\":\"general Desktop\",\"Device_Code_Name\":\"general Desktop\"}",
"05d15853bde02c86e87dcc43d731e89f\t{\"Parent\":\"Mozilla 0.8\",\"Browser_Bits\":\"32\",\"Platform\":\"NetBSD\",\"Platform_Description\":\"NetBSD\",\"Platform_Bits\":\"32\",\"Device_Name\":\"general Desktop\",\"Device_Code_Name\":\"general Desktop\"}",
"05dacd29d5d23046ebee07019975cdf6\t{\"Parent\":\"IceCat 6.0\",\"Browser_Bits\":\"32\",\"Platform\":\"Linux\",\"Platform_Description\":\"Linux\",\"Platform_Bits\":\"32\",\"Platform_Maker\":\"Linux Foundation\",\"Device_Name\":\"Linux Desktop\",\"Device_Code_Name\":\"Linux Desktop\"}",
"05d33a06193627e405f3d0cd512effed\t{\"Parent\":\"IceCat 2.0\",\"Browser_Bits\":\"32\",\"Platform\":\"Linux\",\"Platform_Description\":\"Linux\",\"Platform_Bits\":\"32\",\"Platform_Maker\":\"Linux Foundation\",\"Device_Name\":\"Linux Desktop\",\"Device_Code_Name\":\"Linux Desktop\"}",
"05d8c5dfb072ca47d0fc628691a61586\t{\"Parent\":\"Openwave Mobile Browser 4.1\"}"
]
}
|
{
"name": "simplify-java-testdata",
"version": "0.0.0",
"description": "Generates reference data from simplify-js to be used by simplify-java for test purposes",
"private": true,
"main": "index.js",
"scripts": {
"test": "echo \"Error: no test specified\" && exit 1"
},
"repository": "",
"author": "Heinrich Göbl <hgoebl@goebl.com> (http://goebl.com/)",
"license": "MIT"
}
|
{
"users": [
{
"id": 1518986830438,
"name": "Name",
"secondname": "Sname",
"age": "",
"gender": "",
"groupid": 1518688379470,
"email": "test1@gmail.com",
"login": "test1",
"pwd": "$2a$10$/dct0SF9mRF2J7ZN6SEDROBspnZtR7wTiwHpBDw71yacPkQ3aiCoS",
"role": "user",
"ava": null,
"quiz": "empty",
"created": 1518986830438,
"lastlogin": null,
"active": true
}
]
}
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"n't", "it", "?"], "question_pos_tagged": ["CC", "DT", "MD", "VB", "DT", "NN", "NN", ",", "VBZ", "RB", "PRP", "."], "aSentId": 780, "answer": "Yes.", "answer_tokens": ["Yes", "."], "question_ne_tagged": {}}, {"answer_ne_tagged": {"DATE": ["two years ago"]}, "docId": "130327pmt", "answer_pos_tagged": ["NN", ":", "RB", ",", "PRP", "VBD", "IN", "CD", "NNS", "RB", ",", "WRB", "PRP", "VBD", "CD", "."], "qSentId": 790, "question": "When did you have the germ of the idea?", "question_tokens": ["When", "did", "you", "have", "the", "germ", "of", "the", "idea", "?"], "question_pos_tagged": ["WRB", "VBD", "PRP", "VB", "DT", "NN", "IN", "DT", "NN", "."], "aSentId": 791, "answer": "'ALOISIO: So, it was about two years ago, when I was 15.", "answer_tokens": ["'ALOISIO", ":", "So", ",", "it", "was", "about", "two", "years", "ago", ",", "when", "I", "was", "15", "."], "question_ne_tagged": {}}, {"answer_ne_tagged": {}, "docId": "130327pmt", "answer_pos_tagged": ["RB", ",", "PRP", "VBP", "PRP", "VBD", "RP", "TO", "DT", "NN", "."], "qSentId": 800, "question": "What was it about you, do you think, that they liked?", "question_tokens": ["What", "was", "it", "about", "you", ",", "do", "you", "think", ",", "that", "they", "liked", "?"], "question_pos_tagged": ["WP", "VBD", "PRP", "IN", "PRP", ",", "VBP", "PRP", "VB", ",", "IN", "PRP", "VBD", "."], "aSentId": 801, "answer": "Fundamentally, I think it came down to the idea.", "answer_tokens": ["Fundamentally", ",", "I", "think", "it", "came", "down", "to", "the", "idea", "."], "question_ne_tagged": {}}, {"answer_ne_tagged": {}, "docId": "130327pmt", "answer_pos_tagged": ["DT", ",", "PRP", "VBP", "RB", "JJ", "IN", "DT", "NN", "IN", "NNP", "."], "qSentId": 810, "question": "Or are you hopeful it's going to become ever bigger?", "question_tokens": ["Or", "are", "you", "hopeful", "it", "'s", "going", "to", "become", "ever", "bigger", "?"], "question_pos_tagged": ["CC", "VBP", "PRP", "JJ", "PRP", "VBZ", "VBG", "TO", "VB", "RB", "JJR", "."], "aSentId": 811, "answer": "No, I'm really enthusiastic by the opportunity at Yahoo1.", "answer_tokens": ["No", ",", "I", "'m", "really", "enthusiastic", "by", "the", "opportunity", "at", "Yahoo1", "."], "question_ne_tagged": {}}, {"answer_ne_tagged": {"DATE": ["last two years"]}, "docId": "130327pmt", "answer_pos_tagged": ["DT", ",", "IN", "PRP$", "JJ", ",", "PRP", "VBP", "PRP", "VBP", "VBN", "NNP", "IN", "PRP", "VBP", "VBN", "VBG", "IN", "DT", "JJ", "CD", "NNS", "."], "qSentId": 816, "question": "Reaction?", "question_tokens": ["Reaction", "?"], "question_pos_tagged": ["NN", "."], "aSentId": 817, "answer": "No, from my perspective, I think we have robust I.P. that we've been developing for the last two years.", "answer_tokens": ["No", ",", "from", "my", "perspective", ",", "I", "think", "we", "have", "robust", "I.P.", "that", "we", "'ve", "been", "developing", "for", "the", "last", "two", "years", "."], "question_ne_tagged": {}}, {"answer_ne_tagged": {}, "docId": "130327pmt", "answer_pos_tagged": ["DT", ",", "PRP", "VBP", "RB", "."], "qSentId": 822, "question": "You thinking of doing a new campaign, because he's worth it?", "question_tokens": ["You", "thinking", "of", "doing", "a", "new", "campaign", ",", "because", "he", "'s", "worth", "it", "?"], "question_pos_tagged": ["PRP", "VBG", "IN", "VBG", "DT", "JJ", "NN", ",", "IN", "PRP", "VBZ", "JJ", "PRP", "."], "aSentId": 823, "answer": "No, I don't.", "answer_tokens": ["No", ",", "I", "do", "n't", "."], "question_ne_tagged": {}}, {"answer_ne_tagged": {}, "docId": "130327pmt", "answer_pos_tagged": ["DT", ",", "PRP", "VBP", "VBP", "DT", "NN", "."], "qSentId": 824, "question": "Are you single at the moment?", "question_tokens": ["Are", "you", "single", "at", "the", "moment", "?"], "question_pos_tagged": ["NNP", "PRP", "JJ", "IN", "DT", "NN", "."], "aSentId": 825, "answer": "No, I do have a girlfriend.", "answer_tokens": ["No", ",", "I", "do", "have", "a", "girlfriend", "."], "question_ne_tagged": {}}, {"answer_ne_tagged": {}, "docId": "130327pmt", "answer_pos_tagged": ["NN", ":", "NNS", "."], "qSentId": 826, "question": "Really?", "question_tokens": ["Really", "?"], "question_pos_tagged": ["RB", "."], "aSentId": 827, "answer": "'ALOISIO: Yes.", "answer_tokens": ["'ALOISIO", ":", "Yes", "."], "question_ne_tagged": {}}, {"answer_ne_tagged": {}, "docId": "130327pmt", "answer_pos_tagged": ["PRP", "VBP", "RB", "VB", "IN", "RB", "VBZ", "IN", "PRP", "."], "qSentId": 828, "question": "How is she feeling about the fact you're now worth 30 million dollars?", "question_tokens": ["How", "is", "she", "feeling", "about", "the", "fact", "you", "'re", "now", "worth", "30", "million", "dollars", "?"], "question_pos_tagged": ["WRB", "VBZ", "PRP", "VBG", "IN", "DT", "NN", "PRP", "VBP", "RB", "JJ", "CD", "CD", "NNS", "."], "aSentId": 829, "answer": "I don't think that really comes into it.", "answer_tokens": ["I", "do", "n't", "think", "that", "really", "comes", "into", "it", "."], 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{
"patthana8.3:0.1": "Paṭṭhānapakaraṇa",
"patthana8.3:0.2": "Dhammapaccanīya (2), Dukapaṭṭhānapāḷi (2)",
"patthana8.3:0.3": "8.3. Hetusampayuttaduka",
"patthana8.3:1.1": "Nahetusampayuttaṃ dhammaṃ paṭicca nahetusampayutto dhammo uppajjati hetupaccayā. Nahetusampayuttaṃ dhammaṃ paṭicca nahetuvippayutto dhammo uppajjati hetupaccayā. Nahetusampayuttaṃ dhammaṃ paṭicca nahetusampayutto ca nahetuvippayutto ca dhammā uppajjanti hetupaccayā. (3)",
"patthana8.3:2.1": "Nahetuvippayuttaṃ dhammaṃ paṭicca nahetuvippayutto dhammo uppajjati hetupaccayā. Nahetuvippayuttaṃ dhammaṃ paṭicca nahetusampayutto dhammo uppajjati hetupaccayā. Nahetuvippayuttaṃ dhammaṃ paṭicca nahetusampayutto ca nahetuvippayutto ca dhammā uppajjanti hetupaccayā. (3)",
"patthana8.3:3.1": "Nahetusampayuttañca nahetuvippayuttañca dhammaṃ paṭicca nahetusampayutto dhammo uppajjati hetupaccayā … tīṇi. (Saṃkhittaṃ.)",
"patthana8.3:4.1": "Hetuyā nava, ārammaṇe cha, adhipatiyā pañca …pe… avigate nava. (Sahajātavārepi …pe… pañhāvārepi sabbattha vitthāretabbaṃ.)"
} |
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{
"forum_title": "Til sölu - Tölvuvörur",
"id": "78613",
"title": "SELT i7 4770K 16GB Z97 mobo (30þ)",
"url": "https://spjall.vaktin.is/viewtopic.php?f=11&t=78613",
"posts": [
{
"user_name": "krissdadi",
"text": "Sælir Vaktarar\nÉg er að selja eftirfarandi vegna uppfærslu:\nHlusta á sanngjörn tilboð. \nMSI Z97 Gaming 5 móðurborð (orginal umbúðir fylgja) \nhttps://www.msi.com/Motherboard/Z97-GAMING-5/Overview\nIntel i7 4770K (deliddaður) stock kælir getur fylgt með\nhttps://ark.intel.com/products/75123/In ... -3-90-GHz-\nVENGEANCE® Pro Series — 16GB (2 x 8GB) DDR3 DRAM 1866MHz (orginal umbúðir fylgja) \nhttps://www.corsair.com/ca/en/Categorie ... M2A1866C9R\nMSI GTX 980ti (orginal umbúðir fylgja) Hæsta boð 29,999,-þ\n SELT\nhttps://www.msi.com/Graphics-card/GTX-9 ... NG-6G.html",
"date": "2019-02-19 22:28:00",
"post_id": "685400",
"reply_to_id": false
},
{
"user_name": "NumerusX",
"text": "Átt pm",
"date": "2019-02-21 18:43:00",
"post_id": "685508",
"reply_to_id": "685400"
},
{
"user_name": "krissdadi",
"text": "Skjákortið farið\nupp með rest",
"date": "2019-02-26 22:12:00",
"post_id": "685769",
"reply_to_id": "685508"
},
{
"user_name": "Televisionary",
"text": "Viltu senda mér einhverja verðhugmynd á þetta?",
"date": "2019-02-27 09:57:00",
"post_id": "685782",
"reply_to_id": "685769"
},
{
"user_name": "krissdadi",
"text": "Ég væri sáttur með 35þ fyrir rest.",
"date": "2019-02-27 11:46:00",
"post_id": "685785",
"reply_to_id": "685782"
},
{
"user_name": "krissdadi",
"text": "Fæst á 30þ um helgina \ner að fara erlendis eftir helgi þannig að það væri gott að vera laus við þetta fyrir það.",
"date": "2019-03-01 10:18:00",
"post_id": "685847",
"reply_to_id": "685785"
},
{
"user_name": "bezzen",
"text": "átt pm",
"date": "2019-03-01 22:52:00",
"post_id": "685875",
"reply_to_id": "685847"
},
{
"user_name": "krissdadi",
"text": "Upp",
"date": "2019-03-05 07:39:00",
"post_id": "686020",
"reply_to_id": "685875"
},
{
"user_name": "krissdadi",
"text": "TT",
"date": "2019-03-08 15:37:00",
"post_id": "686115",
"reply_to_id": "686020"
},
{
"user_name": "Thornz",
"text": "Hvað viltu fà fyrir örgjörvann ?",
"date": "2019-03-09 00:42:00",
"post_id": "686130",
"reply_to_id": "686115"
},
{
"user_name": "krissdadi",
"text": "Allt selt",
"date": "2019-03-20 13:43:00",
"post_id": "686683",
"reply_to_id": "686130"
}
],
"date": "2019-02-19 22:28:00"
} |
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React from 'react';\nimport { DropdownItem } from 'reactstrap';\nimport { FontAwesomeIcon } from '@fortawesome/react-fontawesome';\nimport { NavLink as Link } from 'react-router-dom';\nimport { NavDropdown } from '../header-components';\nimport { Translate, translate } from 'react-jhipster';\n\nconst adminMenuItems = (\n <>\n <DropdownItem tag={Link} to=\"/admin/user-management\">\n <FontAwesomeIcon icon=\"user\" /> <Translate contentKey=\"global.menu.admin.userManagement\">User management</Translate>\n </DropdownItem>\n <DropdownItem tag={Link} to=\"/admin/metrics\">\n <FontAwesomeIcon icon=\"tachometer-alt\" /> <Translate contentKey=\"global.menu.admin.metrics\">Metrics</Translate>\n </DropdownItem>\n <DropdownItem tag={Link} to=\"/admin/health\">\n <FontAwesomeIcon icon=\"heart\" /> <Translate contentKey=\"global.menu.admin.health\">Health</Translate>\n </DropdownItem>\n {/* needle-add-element-to-admin-menu - add entities to the admin menu here */}\n <DropdownItem tag={Link} to=\"/admin/logs\">\n <FontAwesomeIcon icon=\"tasks\" /> <Translate contentKey=\"global.menu.admin.logs\">Logs</Translate>\n </DropdownItem>\n </>\n);\n\nconst swaggerItem = (\n <DropdownItem tag={Link} to=\"/admin/docs\">\n <FontAwesomeIcon icon=\"book\" /> <Translate contentKey=\"global.menu.admin.apidocs\">API</Translate>\n </DropdownItem>\n);\n\nexport const AdminMenu = ({ showSwagger }) => (\n <NavDropdown icon=\"user-plus\" name={translate('global.menu.admin.main')} style={{ width: '140%' }} id=\"admin-menu\">\n {adminMenuItems}\n {showSwagger && swaggerItem}\n </NavDropdown>\n);\n\nexport default AdminMenu;\n"]}]} |
{"poster":"xShadowLotus","date":"2018-02-02T21:56:58.340+0000","title":"Cosa ne pensate del nerf sulla passiva di katarina?","subforum":"Campioni e gameplay","up_votes":1,"down_votes":1,"body":"Secondo voi è un nerf giusto? Credo sia già penalizzata dai nerf già fatti\r\nIl nerf di questa patch che ha nerfano un po' tutti i punta e clicca credo comunque le ha indebolito un poco l early\r\nL'unico buff ricevuto dal suo rework è stato l'aumento di danni alla q sui cs \r\nCosa ne pensate?","replies":[{"poster":"under the knìfe","date":"2018-02-04T14:17:42.846+0000","up_votes":2,"down_votes":0,"body":"Damage on dagger picked up changed to [65-220 based on level] from [75-287 based on level].\n{{champion:32}}","replies":[{"poster":"ANTEIM","date":"2019-02-03T09:05:05.600+0000","up_votes":1,"down_votes":0,"body":"Un cambiamento assurdo se soprattutto e prima di tutto sommato a tutti quelli precedenti compresa la sua velocità di movimento dopo un cambiamento radicale della sua importanza.......","replies":[]}]},{"poster":"ReyZør","date":"2018-02-03T01:30:28.454+0000","up_votes":1,"down_votes":0,"body":"Penso che sia un nerf troppo pesante, è vero che è forte nonostante siamo in un metà che non dovrebbe favorirla ma non capisco il perchè del nerf al suo lategame, nosense imho.\n\nPer quanto riguarda il cambiamento alle spell \"punta e clicca\", la maggior parte delle Q le tiro sempre sui minion per poi farle rimbalzare sul nemico, mentre per la E è inutile anche spiegare del perchè è un cambiamento che impatta zero. Per adesso non sento affatto il peso di questo nerf.","replies":[]},{"poster":"ANTEIM","date":"2019-02-03T09:04:03.684+0000","up_votes":1,"down_votes":1,"body":"E' un nerf fottutamente semplicemente eccessivo, dopo tutta la trafila di nerf anche questo dimostra che la riot asseconda pintani e lamentele dei finti player e delle troiette che a loro volta dovrebbero andare coi cazzoni alle solite cazzate e non in gioco.. Anche se il nerf più peso sono quei fottuttissimi ben 2 secondi di non reset sul recupero di daghe iniziale resta il fatto che inizzialmente aveva danno e tempismi rotti o ra invece non ha una cosa non nerfata.. Poveri nabbi e nabbane altrimenti . Riot un poco meno venduta e assecondante le gente buona a un cazzo ? NO ? E comunque il problema principale di lei è che la caduta della w è troppo lenta. Bel mio vecchio acciaio sinistro quanto amavo quella vecchia istantanea animazione si adesso sarebbe rotta con questa meccanica ma nemmeno come ormai è impostata... Poi un programmatore commenta katarina è troppo volatile ora e spicca solo a momenti ..Per forza e grazie al cazzo . O rvertono sto nerf o le fanno cadere la daga di w con stessa velocità di quella di q dopo il lancio o simile o veramente riot è evidnte che non vuoi dare a dei veri giocatori e combattenti il campione che meritano per farsi valere o per spiccare che tanto alcuni io sicuramente riuscirò comunque a fare e fuck the nerf the system la riot stessa e la gente ipocrita e fittizzia e convinta e basta .","replies":[]}]} |
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{"poster":"Saint Fate","date":"2016-01-14T18:25:03.555+0000","title":"3v3 rankeds diamond 4+","subforum":"Clans & Teams","up_votes":1,"down_votes":0,"body":"hey, wir suchen für die kommende season einen toplaner der 3er rankeds auf hohem niveau spielen kann, unser ziel ist master. Wenn du gerade Zeit hast adde mich: Saint Fate\r\n\r\nmfg","replies":[]} |
{
"name": "service-dispatcher",
"description": "The microservice dispatcher",
"main": "index.js",
"version": "0.0.1",
"private": true,
"dependencies": {
"body-parser": "^1.17.1",
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},
"scripts": {
"pretest": "rm -rf package-lock.json && rm -rf node_modules && npm install",
"test": "mocha lib/*.spec.js",
"prestart": "rm -rf package-lock.json && npm install",
"start": "node index.js",
"build:init": "rm -rf package-lock.json && rm -rf dist && rm -rf node_modules",
"build:zip": "zip -rq smart-product-device-service.zip . -x template.yml",
"build:dist": "mkdir dist && mv smart-product-device-service.zip dist/",
"build": "npm run build:init && npm install --production && npm run build:zip && npm run build:dist",
"local:depfix": "npm run build:init && npm install && rm -rf ./node_modules/authorizer && rm -rf ./node_modules/logger && rm -rf ./node_modules/utils && cp -R ../../resources/authorizer ./node_modules/authorizer && cp -R ../../resources/logger ./node_modules/logger && cp -R ../../resources/utils ./node_modules/utils",
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},
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{"url": "https://bland.is/umraeda/baekur-i-jolagjof-verd-/31236830/?page=349", "date": "2015-11-27 13:17:32", "id": "31236830", "items": [{"text": "Góðan dag. Ég var að velta því fyrir mér hvort einhver hér hafi gert verðkönnun Hvar ódýrast sé að versla bækur fyrir jólin núna ár ? :)", "title": "bækur í jólagjöf. verð?", "username": "njallan", "message_id": "31236830", "user_id": "143001", "response_to": null, "datetime": "2015-11-27 13:17:32", "datestring": "27. nóv. '15, kl: 13:17:32"}, {"response_to": "31236830", "username": "TheMadOne", "message_id": "31236842", "user_id": "67426", "datetime": "2015-11-27 13:43:46", "datestring": "27. nóv. '15, kl: 13:43:46", "text": "Bónus?"}, {"response_to": "31236830", "username": "Zagara", "message_id": "31236853", "user_id": "68119", "datetime": "2015-11-27 13:52:11", "datestring": "27. nóv. '15, kl: 13:52:11", "text": "Enginn einn staður og verð á bókum lækkar yfirleitt eftir því sem nær dregur jólum. Best að skoða markaðinn og hvaða verð eru í gangi og þá sér maður þegar þeir lækka sig niður í ásættanlegt verð á þessum \"bónusbókum\" sem mesta samkeppnin er um."}, {"response_to": "31236830", "username": "nefnilega", "message_id": "31236854", "user_id": "52417", "datetime": "2015-11-27 13:53:37", "datestring": "27. nóv. '15, kl: 13:53:37", "text": "Ódýrast fyrir mig að kaupa þær í Bónus, ég er hvort eð alltaf þar."}]} |
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{
"ud5.5:2.1": "uttarāsaṅgaṃ → cīvaraṃ (sabbattha)",
"ud5.5:2.6": "Evaṃ vutte → atha kho (sabbattha)",
"ud5.5:8.2": "na dānāhaṃ, bhikkhave, ito paraṃ → na dānāhaṃ bhikkhave ajjatagge (^an8.20#1 [20. Uposathasutta])",
"ud5.5:10.2": "Yampi → yaṃ (bj, sya-all, mr)",
"ud5.5:1.2": "ayaṃ → ayampi (sabbattha)",
"ud5.5:12.2": "khippameva → khippaññeva (bj); khippaṃyeva (pts-vp-pli1, mr)",
"ud5.5:13.2": "patvā → pattā (sya-all, pts-vp-pli1, mr)",
"ud5.5:16.3": "lohitaṅgo → lohitaṅko (bj, pts-vp-pli1); lohitako (?)",
"ud5.5:17.3": "timi timiṅgalo timitimiṅgalo → timi timiṅgalo timirapiṅgalo (bj, pts-vp-pli1 ^an8.19#1 [19. Pahārādasutta])",
"ud5.5:22.4": "pabbajitvā → pabbajitā (si)",
"ud5.5:26.5": "paṭipanno, arahā, arahattāya → arahattaphalasacchikiriyāya (bj)"
} |
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{
"directions": [
"In a large, microwave safe bowl, combine chicken, water, pepper and salt. Microwave on high 15 minutes. Stir in tomatoes, onions, limas, corn, okra and bay leaf. Microwave 7 minutes. Remove bay leaf and microwave 15 minutes more, stirring occasionally, until tender."
],
"ingredients": [
"2 1/2 pounds chopped, cooked chicken",
"2 cups water",
"1 teaspoon ground black pepper",
"1/2 teaspoon salt",
"4 tomatoes, sliced",
"1 1/2 onions, chopped",
"1 (16 ounce) package frozen lima beans, thawed",
"1 (16 ounce) package frozen corn kernels, thawed",
"1 (16 ounce) package frozen okra, thawed",
"1 bay leaf"
],
"language": "en-US",
"source": "allrecipes.com",
"tags": [],
"title": "Chicken Brunswick Stew",
"url": "http://allrecipes.com/recipe/23866/chicken-brunswick-stew/"
}
|
{"id":1281,"kecid":58,"name":"Paya Dapur","hash":"143ddf240c2722b45a8a5cffc4d640f2","related":{"kecamatan":{"id":58,"nama":"Kluet Timur"},"kabupaten":{"id":5,"nama":"Kabupaten Aceh Selatan","ibukota":"Tapak Tuan"},"provinsi":{"id":1,"nama":"Aceh"}}}
|
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