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{"comment": "0", "idNoticia": "12541", "tags": [], "url": "http://www.valor.com.br/arquivo/874263/previ-entrara-na-sete-sondas-criada-pela-petrobras ", "autor": " Vera Saavedra Durão | Do Rio", "titulo": "Previ entrará na Sete Sondas, criada pela Petrobras", "corpo": "A Previ aprovou ontem, em reunião de diretoria, o seu primeiro negócio na área do pré-sal. Trata-se de um investimento de R$ 150 milhões no FIP Sondas (Fundo de Investimento em Participações Sondas), o que garante ao fundo de pensão dos funcionários do Banco do Brasil uma participação limitada a até 25% no novo negócio. O objetivo do FIP Sondas é investir na empresa Sete Brasil Participações S/A, criada pela Petrobras, que será a proprietária de sete sondas de perfuração em construção no Estaleiro Atlântico Sul, em Suape (PE). As sondas serão arrendadas à estatal para perfurar poços do pré-sal. As sondas serão construídas com recursos da Sete Brasil, o único ativo do FIP, que terá a Petrobras como sócia com capital entre 5% a 10% e o FIP Sondas com participação entre 90% a 95%. O investimento para a construção das sondas é estimado em US$ 4,5 bilhões. Deste total, uma parcela de 80% deve ser financiada pelo BNDES, um dos principais agentes do Fundo de Marinha Mercante (FMM), e os restantes 20% com recursos dos sócios. O FIP Sondas mais a Petrobras vão colocar na Sete Brasil, portanto, US$ 900 milhões. O capital do fundo será equivalente a US$ 810 milhões. Para o presidente da Previ, Ricardo Flores, \"a descoberta do pré-sal é um marco histórico no setor. Para o país, proporciona a internalização de tecnologia e expertise inéditas no Brasil. Para a Previ, o investimento é coerente com a natureza dos fundos de pensão, que precisam honrar compromissos de longo prazo com o pagamento de benefícios atuais e futuros a aposentados e pensionistas\". O investimento no setor de petróleo e gás consta da política de investimentos da Previ e será alvo de outros investimentos da fundação, segundo apurou o Valor. O segmento de investimentos estruturados em nichos específicos de mercado e capital empreendedor, como o private equity e venture capital, também é considerado estratégico pela direção da Previ, como é o caso do FIP Sondas. As sete primeiras sondas encomendas no estaleiro pernambucano têm potencial para gerar 9,3 mil empregos diretos e 27,9 mil indiretos, segundo avaliação de um estudo da Caixa, futura gestora do FIP Sondas. A Petrobras tem uma encomenda de 28, ou seja falta licitar 21 para construção. O fundo está ainda em fase de estruturação e até agora não foi fechado. O desenho do negócio prevê que será composto por sete cotistas, sendo quatro investidores institucionais (Previ, Petros, Funcef e Valia) e dois financeiros (Santander e Bradesco). Até agora apenas a Previ teve aprovação da diretoria para investir no fundo. A Funcef, segundo informou Demosthenes Marques, diretor de investimento do fundo dos empregados da Caixa, está em fase bem avançada de análise da proposta e deve encaminhá-la para avaliação da diretoria em março. \"Temos de fechar a conta do equity do projeto para ver com quanto iremos participar\", disse. Os fundos de pensão têm um limite de até 25% para participarem como cotistas de fundos de investimento em participações e em SPEs. O limite foi dado pela resolução 3792 do Conselho Monetário Nacional (CMN). O FIP Sondas ainda não teve seu regulamento enviado para a Comissão de Valores Mobiliários (CVM).", "data": "2011-02-24 00:00:00"} |
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{"dta.poem.21054": {"metadata": {"author": {"name": "Kosegarten, Ludwig Gotthard", "birth": "N.A.", "death": "N.A."}, "title": "Elegie . \n An Minona .", "genre": "Lyrik", "period": "N.A.", "pub_year": "1798", "urn": "urn:nbn:de:kobv:b4-200905193300", "language": ["de:0.99"], "booktitle": "N.A."}, "poem": {"stanza.1": {"line.1": {"text": "Warum bist du so ernst? und warum thauet die ", "tokens": ["Wa\u00b7rum", "bist", "du", "so", "ernst", "?", "und", "wa\u00b7rum", "thau\u00b7et", "die"], "token_info": ["word", "word", "word", "word", "word", "punct", "word", "word", "word", "word"], "pos": ["PWAV", "VAFIN", "PPER", "ADV", "ADJD", "$.", "KON", "PWAV", "VVFIN", "ART"], "meter": "-+-+-+-+-+-+", "measure": "alexandrine.iambic.hexa"}, "line.2": {"text": "Thr\u00e4ne", "tokens": ["Thr\u00e4\u00b7ne"], "token_info": ["word"], "pos": ["NN"], "meter": "+-", "measure": "trochaic.single"}, "line.3": {"text": "Deine gl\u00fchende Wang', edeles M\u00e4dchen,", "tokens": ["Dei\u00b7ne", "gl\u00fc\u00b7hen\u00b7de", "Wang'", ",", "e\u00b7de\u00b7les", "M\u00e4d\u00b7chen", ","], "token_info": ["word", "word", "word", "punct", "word", "word", "punct"], "pos": ["PPOSAT", "ADJA", "NN", "$,", "ADJA", "NN", "$,"], "meter": "+-+--+---+-", "measure": "trochaic.tetra.relaxed"}, "line.4": {"text": "herab?", "tokens": ["her\u00b7ab", "?"], "token_info": ["word", "punct"], "pos": ["ADV", "$."], "meter": "-+", "measure": "iambic.single"}, "line.5": {"text": "Warum h\u00fcllet dich Dunkel, und warum w\u00f6lket", "tokens": ["Wa\u00b7rum", "h\u00fcl\u00b7let", "dich", "Dun\u00b7kel", ",", "und", "wa\u00b7rum", "w\u00f6l\u00b7ket"], "token_info": ["word", "word", "word", "word", "punct", "word", "word", "word"], "pos": ["PWAV", "VVFIN", "PPER", "ADJD", "$,", "KON", "PWAV", "VVFIN"], "meter": "--+--+--+-+-", "measure": "anapaest.tri.plus"}, "line.6": {"text": "dich Tr\u00fcbsinn,", "tokens": ["dich", "Tr\u00fcb\u00b7sinn", ","], "token_info": ["word", "word", "punct"], "pos": ["PPER", "NN", "$,"], "meter": "-+-", "measure": "amphibrach.single"}, "line.7": {"text": "Da der Morgen dich weckt, welcher ins", "tokens": ["Da", "der", "Mor\u00b7gen", "dich", "weckt", ",", "wel\u00b7cher", "ins"], "token_info": ["word", "word", "word", "word", "word", "punct", "word", "word"], "pos": ["KOUS", "ART", "NN", "PPER", "VVFIN", "$,", "PRELS", "APPRART"], "meter": "--+--++-+", "measure": "anapaest.di.plus"}, "line.8": {"text": "Daseyn dich rief? \u2014", "tokens": ["Da\u00b7seyn", "dich", "rief", "?"], "token_info": ["word", "word", "word", "punct", "punct"], "pos": ["NN", "PPER", "VVFIN", "$.", "$("], "meter": "-+-+", "measure": "iambic.di"}, "line.9": {"text": "Wallen etwa die Schatten der abgeschiedenen Stun-", "tokens": ["Wal\u00b7len", "et\u00b7wa", "die", "Schat\u00b7ten", "der", "ab\u00b7ge\u00b7schie\u00b7de\u00b7nen", "Stun"], "token_info": ["word", "word", "word", "word", "word", "word", "word"], "pos": ["NN", "ADV", "ART", "NN", "ART", "ADJA", "TRUNC"], "meter": "+-+--+--+-+--+", "measure": "trochaic.hexa.relaxed"}, "line.10": {"text": "den", "tokens": ["den"], "token_info": ["word"], "pos": ["ART"], "meter": "-", "measure": "single.down"}, "line.11": {"text": "Deine Seele vorbey? Siehst du die fl\u00fcch-", "tokens": ["Dei\u00b7ne", "See\u00b7le", "vor\u00b7bey", "?", "Siehst", "du", "die", "fl\u00fcch"], "token_info": ["word", "word", "word", "punct", "word", "word", "word", "word"], "pos": ["PPOSAT", "NN", "PTKVZ", "$.", "VVFIN", "PPER", "ART", "TRUNC"], "meter": "+-+-+-+--+", "measure": "iambic.penta.chol"}, "line.12": {"text": "tige Schaar", "tokens": ["ti\u00b7ge", "Schaar"], "token_info": ["word", "word"], "pos": ["ADJA", "NN"], "meter": "--+", "measure": "anapaest.init"}, "line.13": {"text": "Deiner Monden und Jahre sich st\u00fcrzen in dr\u00e4ngen-", "tokens": ["Dei\u00b7ner", "Mon\u00b7den", "und", "Jah\u00b7re", "sich", "st\u00fcr\u00b7zen", "in", "dr\u00e4n\u00b7gen"], "token_info": ["word", "word", "word", "word", "word", "word", "word", "word"], "pos": ["PPOSAT", "NN", "KON", "NN", "PRF", "VVFIN", "APPR", "TRUNC"], "meter": "+-+--+--+--+-", "measure": "trochaic.penta.relaxed"}, "line.14": {"text": "den Wogen,", "tokens": ["den", "Wo\u00b7gen", ","], "token_info": ["word", "word", "punct"], "pos": ["ART", "NN", "$,"], "meter": "-+-", "measure": "amphibrach.single"}, "line.15": {"text": "In der Vergangenheit alles verschlingendes", "tokens": ["In", "der", "Ver\u00b7gan\u00b7gen\u00b7heit", "al\u00b7les", "ver\u00b7schlin\u00b7gen\u00b7des"], "token_info": ["word", "word", "word", "word", "word"], "pos": ["APPR", "ART", "NN", "PIAT", "ADJA"], "meter": "+--+--+--+-+", "measure": "dactylic.tri.plus"}, "line.16": {"text": "Meer?", "tokens": ["Meer", "?"], "token_info": ["word", "punct"], "pos": ["NN", "$."], "meter": "+", "measure": "single.up"}, "line.17": {"text": "Rufst du die Freuden zur\u00fcck, die dir im Schoosse", "tokens": ["Rufst", "du", "die", "Freu\u00b7den", "zu\u00b7r\u00fcck", ",", "die", "dir", "im", "Schoos\u00b7se"], "token_info": ["word", "word", "word", "word", "word", "punct", "word", "word", "word", "word"], "pos": ["VVFIN", "PPER", "ART", "NN", "PTKVZ", "$,", "PRELS", "PPER", "APPRART", "NN"], "meter": "+--+--+-+-+-", "measure": "dactylic.di.plus"}, "line.18": {"text": "der Vorzeit", "tokens": ["der", "Vor\u00b7zeit"], "token_info": ["word", "word"], "pos": ["ART", "NN"], "meter": "-+-", "measure": "amphibrach.single"}, "line.19": {"text": "Bl\u00fchten? Winkst du dem Gram, welcher", "tokens": ["Bl\u00fch\u00b7ten", "?", "Winkst", "du", "dem", "Gram", ",", "wel\u00b7cher"], "token_info": ["word", "punct", "word", "word", "word", "word", "punct", "word"], "pos": ["NN", "$.", "VVFIN", "PPER", "ART", "NN", "$,", "PRELS"], "meter": "+--+-++-", "measure": "iambic.tetra.invert"}, "line.20": {"text": "dich tr\u00fcbte, zur\u00fcck?", "tokens": ["dich", "tr\u00fcb\u00b7te", ",", "zu\u00b7r\u00fcck", "?"], "token_info": ["word", "word", "punct", "word", "punct"], "pos": ["PPER", "VVFIN", "$,", "PTKVZ", "$."], "meter": "-+--+", "measure": "iambic.di.chol"}, "line.21": {"text": "Lass sie ruhen! Sie sind verschwunden, wie nich-", "tokens": ["Lass", "sie", "ru\u00b7hen", "!", "Sie", "sind", "ver\u00b7schwun\u00b7den", ",", "wie", "nich"], "token_info": ["word", "word", "word", "punct", "word", "word", "word", "punct", "word", "word"], "pos": ["VVIMP", "PPER", "VVINF", "$.", "PPER", "VAFIN", "VVPP", "$,", "PWAV", "TRUNC"], "meter": "+-+-+--+--+", "measure": "trochaic.penta.relaxed"}, "line.22": {"text": "tige Schatten.", "tokens": ["ti\u00b7ge", "Schat\u00b7ten", "."], "token_info": ["word", "word", "punct"], "pos": ["ADJA", "NN", "$."], "meter": "--+-", "measure": "anapaest.init"}, "line.23": {"text": "Lass ihn schlummern! Er schl\u00e4ft in der", "tokens": ["Lass", "ihn", "schlum\u00b7mern", "!", "Er", "schl\u00e4ft", "in", "der"], "token_info": ["word", "word", "word", "punct", "word", "word", "word", "word"], "pos": ["VVIMP", "PPER", "VVINF", "$.", "PPER", "VVFIN", "APPR", "ART"], "meter": "+-+--+--", "measure": "trochaic.tri.relaxed"}, "line.24": {"text": "Vergessenheit Nacht.", "tokens": ["Ver\u00b7ges\u00b7sen\u00b7heit", "Nacht", "."], "token_info": ["word", "word", "punct"], "pos": ["NN", "NN", "$."], "meter": "-+--+", "measure": "iambic.di.chol"}, "line.25": {"text": "Freue dich deiner Jugend. Noch g\u00fcrtet ihr rosiger", "tokens": ["Freu\u00b7e", "dich", "dei\u00b7ner", "Ju\u00b7gend", ".", "Noch", "g\u00fcr\u00b7tet", "ihr", "ro\u00b7si\u00b7ger"], "token_info": ["word", "word", "word", "word", "punct", "word", "word", "word", "word"], "pos": ["VVFIN", "PPER", "PPOSAT", "NN", "$.", "ADV", "VVFIN", "PPOSAT", "ADJA"], "meter": "---+-+--+--+-+", "measure": "iambic.penta.relaxed"}, "line.26": {"text": "G\u00fcrtel", "tokens": ["G\u00fcr\u00b7tel"], "token_info": ["word"], "pos": ["NN"], "meter": "+-", "measure": "trochaic.single"}, "line.27": {"text": "Deine H\u00fcfte; dein Haar ringelt die Freund-", "tokens": ["Dei\u00b7ne", "H\u00fcf\u00b7te", ";", "dein", "Haar", "rin\u00b7gelt", "die", "Freun\u00b7d"], "token_info": ["word", "word", "punct", "word", "word", "word", "word", "word"], "pos": ["PPOSAT", "NN", "$.", "PPOSAT", "NN", "VVFIN", "ART", "TRUNC"], "meter": "+-+--+-+-+-", "measure": "trochaic.penta.relaxed"}, "line.28": {"text": "liche noch.", "tokens": ["li\u00b7che", "noch", "."], "token_info": ["word", "word", "punct"], "pos": ["ADJA", "ADV", "$."], "meter": "+-+", "measure": "trochaic.di"}, "line.29": {"text": "Freue dich deines Seyns; denn s\u00fcss ist Seyn, und", "tokens": ["Freu\u00b7e", "dich", "dei\u00b7nes", "Seyns", ";", "denn", "s\u00fcss", "ist", "Seyn", ",", "und"], "token_info": ["word", "word", "word", "word", "punct", "word", "word", "word", "word", "punct", "word"], "pos": ["VVFIN", "PPER", "PPOSAT", "NN", "$.", "KON", "ADJD", "VAFIN", "PPOSAT", "$,", "KON"], "meter": "-+-+-+-+-+-", "measure": "iambic.penta"}, "line.30": {"text": "erfreulich", "tokens": ["er\u00b7freu\u00b7lich"], "token_info": ["word"], "pos": ["ADJD"], "meter": "-+-", "measure": "amphibrach.single"}, "line.31": {"text": "Ist es zu athmen. Und sch\u00f6n l\u00e4chelst du,", "tokens": ["Ist", "es", "zu", "ath\u00b7men", ".", "Und", "sch\u00f6n", "l\u00e4\u00b7chelst", "du", ","], "token_info": ["word", "word", "word", "word", "punct", "word", "word", "word", "word", "punct"], "pos": ["VAFIN", "PPER", "PTKZU", "VVINF", "$.", "KON", "ADJD", "VVFIN", "PPER", "$,"], "meter": "-+-+-+-+-+", "measure": "iambic.penta"}, "line.32": {"text": "seliges Licht.", "tokens": ["se\u00b7li\u00b7ges", "Licht", "."], "token_info": ["word", "word", "punct"], "pos": ["ADJA", "NN", "$."], "meter": "+--+", "measure": "iambic.di.chol"}, "line.33": {"text": "Perlen streuet die Sonn' im Aufgang, Perlen im", "tokens": ["Per\u00b7len", "streu\u00b7et", "die", "Sonn'", "im", "Auf\u00b7gang", ",", "Per\u00b7len", "im"], "token_info": ["word", "word", "word", "word", "word", "word", "punct", "word", "word"], "pos": ["NN", "VVFIN", "ART", "NN", "APPRART", "NN", "$,", "NN", "APPRART"], "meter": "+-+--+-+-+-+", "measure": "trochaic.hexa.relaxed"}, "line.34": {"text": "Abend.", "tokens": ["A\u00b7bend", "."], "token_info": ["word", "punct"], "pos": ["NN", "$."], "meter": "+-", "measure": "trochaic.single"}, "line.35": {"text": "Freundlich leuchtet der Mond \u00fcber die", "tokens": ["Freund\u00b7lich", "leuch\u00b7tet", "der", "Mond", "\u00fc\u00b7ber", "die"], "token_info": ["word", "word", "word", "word", "word", "word"], "pos": ["ADV", "VVFIN", "ART", "NN", "APPR", "ART"], "meter": "+-+--++-+", "measure": "trochaic.penta.relaxed"}, "line.36": {"text": "schlummernde Welt.", "tokens": ["schlum\u00b7mern\u00b7de", "Welt", "."], "token_info": ["word", "word", "punct"], "pos": ["ADJA", "NN", "$."], "meter": "+--+", "measure": "iambic.di.chol"}, "line.37": {"text": "L\u00fcstern l\u00e4chelt die Erd' am Br\u00e4utigamsbusen des", "tokens": ["L\u00fcs\u00b7tern", "l\u00e4\u00b7chelt", "die", "Erd'", "am", "Br\u00e4u\u00b7ti\u00b7gams\u00b7bu\u00b7sen", "des"], "token_info": ["word", "word", "word", "word", "word", "word", "word"], "pos": ["NN", "VVFIN", "ART", "NN", "APPRART", "NN", "ART"], "meter": "+-+--+-+-+-+-", "measure": "trochaic.hexa.relaxed"}, "line.38": {"text": "Fr\u00fchlings.", "tokens": ["Fr\u00fch\u00b7lings", "."], "token_info": ["word", "punct"], "pos": ["NN", "$."], "meter": "+-", "measure": "trochaic.single"}, "line.39": {"text": "Leise pfl\u00fccket der Herbst ihre Verwelkun-", "tokens": ["Lei\u00b7se", "pfl\u00fc\u00b7cket", "der", "Herbst", "ih\u00b7re", "Ver\u00b7wel\u00b7kun"], "token_info": ["word", "word", "word", "word", "word", "word"], "pos": ["NN", "VVFIN", "ART", "NN", "PPOSAT", "TRUNC"], "meter": "+-+--+-+-+-", "measure": "trochaic.penta.relaxed"}, "line.40": {"text": "gen weg.", "tokens": ["gen", "weg", "."], "token_info": ["word", "word", "punct"], "pos": ["APPR", "PTKVZ", "$."], "meter": "-+", "measure": "iambic.single"}, "line.41": {"text": "Feyerlich ruht sie im Leichengewande des blenden-", "tokens": ["Fey\u00b7er\u00b7lich", "ruht", "sie", "im", "Lei\u00b7chen\u00b7ge\u00b7wan\u00b7de", "des", "blen\u00b7den"], "token_info": ["word", "word", "word", "word", "word", "word", "word"], "pos": ["ADJD", "VVFIN", "PPER", "APPRART", "NN", "ART", "TRUNC"], "meter": "+--+--+--+--+-", "measure": "dactylic.penta"}, "line.42": {"text": "den Schneees,", "tokens": ["den", "Schne\u00b7e\u00b7es", ","], "token_info": ["word", "word", "punct"], "pos": ["ART", "NN", "$,"], "meter": "-+-+", "measure": "iambic.di"}, "line.43": {"text": "Bis sie verj\u00fcngt und versch\u00f6nt wieder den", "tokens": ["Bis", "sie", "ver\u00b7j\u00fcngt", "und", "ver\u00b7sch\u00f6nt", "wie\u00b7der", "den"], "token_info": ["word", "word", "word", "word", "word", "word", "word"], "pos": ["KOUS", "PPER", "VVFIN", "KON", "VVFIN", "ADV", "ART"], "meter": "-+-+--+-+-", "measure": "iambic.tetra.relaxed"}, "line.44": {"text": "Gr\u00e4bern entbl\u00fcht.", "tokens": ["Gr\u00e4\u00b7bern", "ent\u00b7bl\u00fcht", "."], "token_info": ["word", "word", "punct"], "pos": ["NN", "VVPP", "$."], "meter": "+--+", "measure": "iambic.di.chol"}, "line.45": {"text": "Ja, es ist s\u00fcss zu athmen auf Gottes herrlich be-", "tokens": ["Ja", ",", "es", "ist", "s\u00fcss", "zu", "ath\u00b7men", "auf", "Got\u00b7tes", "herr\u00b7lich", "be"], "token_info": ["word", "punct", "word", "word", "word", "word", "word", "word", "word", "word", "word"], "pos": ["PTKANT", "$,", "PPER", "VAFIN", "ADJD", "PTKZU", "VVINF", "APPR", "NN", "ADJD", "TRUNC"], "meter": "-+-+-+--+-+--", "measure": "iambic.penta.relaxed"}, "line.46": {"text": "gabter", "tokens": ["gab\u00b7ter"], "token_info": ["word"], "pos": ["ADJA"], "meter": "+-", "measure": "trochaic.single"}, "line.47": {"text": "Sch\u00f6ner Erd'. Es ist Wonne, zu wandeln", "tokens": ["Sch\u00f6\u00b7ner", "Erd'", ".", "Es", "ist", "Won\u00b7ne", ",", "zu", "wan\u00b7deln"], "token_info": ["word", "word", "punct", "word", "word", "word", "punct", "word", "word"], "pos": ["ADJA", "NN", "$.", "PPER", "VAFIN", "NN", "$,", "PTKZU", "VVINF"], "meter": "+-+--+--+-", "measure": "trochaic.tetra.relaxed"}, "line.48": {"text": "auf ihr.", "tokens": ["auf", "ihr", "."], "token_info": ["word", "word", "punct"], "pos": ["APPR", "PPOSAT", "$."], "meter": "++", "measure": "spondeus"}, "line.49": {"text": "Wonne ist es, zu schaun des Fr\u00fchlings funkelnden", "tokens": ["Won\u00b7ne", "ist", "es", ",", "zu", "schaun", "des", "Fr\u00fch\u00b7lings", "fun\u00b7keln\u00b7den"], "token_info": ["word", "word", "word", "punct", "word", "word", "word", "word", "word"], "pos": ["NN", "VAFIN", "PPER", "$,", "PTKZU", "VVINF", "ART", "NN", "VVINF"], "meter": "+-+--+-+-+-+", "measure": "trochaic.hexa.relaxed"}, "line.50": {"text": "Brautschmuck,", "tokens": ["Brautsc\u00b7hmuck", ","], "token_info": ["word", "punct"], "pos": ["NN", "$,"], "meter": "+-", "measure": "trochaic.single"}, "line.51": {"text": "Wonne zu schauen den Wald glimmen im", "tokens": ["Won\u00b7ne", "zu", "schau\u00b7en", "den", "Wald", "glim\u00b7men", "im"], "token_info": ["word", "word", "word", "word", "word", "word", "word"], "pos": ["NN", "PTKZU", "VVINF", "ART", "NN", "VVFIN", "APPRART"], "meter": "+--+--++-+", "measure": "dactylic.di.plus"}, "line.52": {"text": "silbernen Reif.", "tokens": ["sil\u00b7ber\u00b7nen", "Reif", "."], "token_info": ["word", "word", "punct"], "pos": ["ADJA", "NN", "$."], "meter": "+--+", "measure": "iambic.di.chol"}, "line.53": {"text": "Hohe Wonn' ists zu schaun des Menschen g\u00f6ttliches", "tokens": ["Ho\u00b7he", "Wonn'", "ists", "zu", "schaun", "des", "Men\u00b7schen", "g\u00f6tt\u00b7li\u00b7ches"], "token_info": ["word", "word", "word", "word", "word", "word", "word", "word"], "pos": ["ADJA", "NN", "VAFIN", "PTKZU", "VVINF", "ART", "NN", "ADJA"], "meter": "+--+-+-+-+-+", "measure": "iambic.hexa.invert"}, "line.54": {"text": "Antlitz,", "tokens": ["Ant\u00b7litz", ","], "token_info": ["word", "punct"], "pos": ["NE", "$,"], "meter": "+-", "measure": "trochaic.single"}, "line.55": {"text": "Gl\u00fchend von tiefem Gef\u00fchl, feuernd von", "tokens": ["Gl\u00fc\u00b7hend", "von", "tie\u00b7fem", "Ge\u00b7f\u00fchl", ",", "feu\u00b7ernd", "von"], "token_info": ["word", "word", "word", "word", "punct", "word", "word"], "pos": ["ADJD", "APPR", "ADJA", "NN", "$,", "ADJD", "APPR"], "meter": "+--+--++-+", "measure": "dactylic.di.plus"}, "line.56": {"text": "Thatenbegier.", "tokens": ["Tha\u00b7ten\u00b7be\u00b7gier", "."], "token_info": ["word", "punct"], "pos": ["NN", "$."], "meter": "+--+", "measure": "iambic.di.chol"}, "line.57": {"text": "H\u00f6here Wonn' ists, Herzen erobern, am Busen der", "tokens": ["H\u00f6\u00b7he\u00b7re", "Wonn'", "ists", ",", "Her\u00b7zen", "er\u00b7o\u00b7bern", ",", "am", "Bu\u00b7sen", "der"], "token_info": ["word", "word", "word", "punct", "word", "word", "punct", "word", "word", "word"], "pos": ["FM.la", "FM.la", "FM.la", "$,", "NN", "VVINF", "$,", "APPRART", "NN", "ART"], "meter": "+--+-+--+--+-+", "measure": "iambic.hexa.invert"}, "line.58": {"text": "Freundschaft", "tokens": ["Freund\u00b7schaft"], "token_info": ["word"], "pos": ["NN"], "meter": "+-", "measure": "trochaic.single"}, "line.59": {"text": "Hoch aufathmen, im Arm liebender Lieb-", "tokens": ["Hoch", "auf\u00b7ath\u00b7men", ",", "im", "Arm", "lie\u00b7ben\u00b7der", "Lie\u00b7b"], "token_info": ["word", "word", "punct", "word", "word", "word", "word"], "pos": ["ADJD", "VVPP", "$,", "APPRART", "NN", "ADJA", "TRUNC"], "meter": "+-+--++--+-", "measure": "trochaic.penta.relaxed"}, "line.60": {"text": "linge ruhn.", "tokens": ["lin\u00b7ge", "ruhn", "."], "token_info": ["word", "word", "punct"], "pos": ["ADV", "VVINF", "$."], "meter": "+-+", "measure": "trochaic.di"}, "line.61": {"text": "Aber die h\u00f6chste der hohen, der seligen Wonnen", "tokens": ["A\u00b7ber", "die", "h\u00f6chs\u00b7te", "der", "ho\u00b7hen", ",", "der", "se\u00b7li\u00b7gen", "Won\u00b7nen"], "token_info": ["word", "word", "word", "word", "word", "punct", "word", "word", "word"], "pos": ["KON", "ART", "ADJA", "ART", "ADJA", "$,", "ART", "ADJA", "NN"], "meter": "+--+--+--+--+-", "measure": "dactylic.penta"}, "line.62": {"text": "ist Wohlthun,", "tokens": ["ist", "Wohl\u00b7thun", ","], "token_info": ["word", "word", "punct"], "pos": ["VAFIN", "NN", "$,"], "meter": "+-+", "measure": "trochaic.di"}, "line.63": {"text": "\u00dcbung der eigenen Kraft, Leistung der hei-", "tokens": ["\u00dc\u00b7bung", "der", "ei\u00b7ge\u00b7nen", "Kraft", ",", "Leis\u00b7tung", "der", "hei"], "token_info": ["word", "word", "word", "word", "punct", "word", "word", "word"], "pos": ["NN", "ART", "ADJA", "NN", "$,", "NN", "ART", "TRUNC"], "meter": "+--+--++--+", "measure": "dactylic.di.plus"}, "line.64": {"text": "ligen Pflicht.", "tokens": ["li\u00b7gen", "Pflicht", "."], "token_info": ["word", "word", "punct"], "pos": ["VVFIN", "NN", "$."], "meter": "+-+", "measure": "trochaic.di"}, "line.65": {"text": "Diese Wonne sey dein! In dieser Wonnen Um-", "tokens": ["Die\u00b7se", "Won\u00b7ne", "sey", "dein", "!", "In", "die\u00b7ser", "Won\u00b7nen", "Um"], "token_info": ["word", "word", "word", "word", "punct", "word", "word", "word", "word"], "pos": ["PDAT", "NN", "VAFIN", "PPOSAT", "$.", "APPR", "PDAT", "NN", "TRUNC"], "meter": "+-+--+-+-+-+", "measure": "trochaic.hexa.relaxed"}, "line.66": {"text": "schlingung", "tokens": ["schlin\u00b7gung"], "token_info": ["word"], "pos": ["NN"], "meter": "+-", "measure": "trochaic.single"}, "line.67": {"text": "M\u00f6ge dein Leben so hell, meine Geliebte,", "tokens": ["M\u00f6\u00b7ge", "dein", "Le\u00b7ben", "so", "hell", ",", "mei\u00b7ne", "Ge\u00b7lieb\u00b7te", ","], "token_info": ["word", "word", "word", "word", "word", "punct", "word", "word", "punct"], "pos": ["VMFIN", "PPOSAT", "NN", "ADV", "ADJD", "$,", "PPOSAT", "NN", "$,"], "meter": "+--+--+---+-", "measure": "dactylic.tri.plus"}, "line.68": {"text": "verwehn,", "tokens": ["ver\u00b7wehn", ","], "token_info": ["word", "punct"], "pos": ["VVINF", "$,"], "meter": "-+", "measure": "iambic.single"}, "line.69": {"text": "M\u00f6g' es vergleiten, wie Mondenschimmer auf spie-", "tokens": ["M\u00f6g'", "es", "ver\u00b7glei\u00b7ten", ",", "wie", "Mon\u00b7den\u00b7schim\u00b7mer", "auf", "spie"], "token_info": ["word", "word", "word", "punct", "word", "word", "word", "word"], "pos": ["VMFIN", "PPER", "VVFIN", "$,", "PWAV", "NN", "APPR", "TRUNC"], "meter": "+--+--+-+-+-", "measure": "dactylic.di.plus"}, "line.70": {"text": "gelndem Meere,", "tokens": ["geln\u00b7dem", "Mee\u00b7re", ","], "token_info": ["word", "word", "punct"], "pos": ["ADJA", "NN", "$,"], "meter": "--+-", "measure": "anapaest.init"}, "line.71": {"text": "M\u00f6g' es verschweben, wie Hauch \u00fcber den", "tokens": ["M\u00f6g'", "es", "ver\u00b7schwe\u00b7ben", ",", "wie", "Hauch", "\u00fc\u00b7ber", "den"], "token_info": ["word", "word", "word", "punct", "word", "word", "word", "word"], "pos": ["VMFIN", "PPER", "VVINF", "$,", "PWAV", "NN", "APPR", "ART"], "meter": "+--+--++--", "measure": "dactylic.di.plus"}, "line.72": {"text": "Saiten verschwebt!", "tokens": ["Sai\u00b7ten", "ver\u00b7schwebt", "!"], "token_info": ["word", "word", "punct"], "pos": ["NN", "VVPP", "$."], "meter": "+--+", "measure": "iambic.di.chol"}}, "stanza.2": {"line.1": {"text": "M\u00e4dchen, noch trittst du einher im Strahlengewande", "tokens": ["M\u00e4d\u00b7chen", ",", "noch", "trittst", "du", "ein\u00b7her", "im", "Strah\u00b7len\u00b7ge\u00b7wan\u00b7de"], "token_info": ["word", "punct", "word", "word", "word", "word", "word", "word"], "pos": ["NN", "$,", "ADV", "VVFIN", "PPER", "ADV", "APPRART", "NN"], "meter": "+--+--+-+--+-", "measure": "dactylic.di.plus"}, "line.2": {"text": "der Sch\u00f6nheit,", "tokens": ["der", "Sch\u00f6n\u00b7heit", ","], "token_info": ["word", "word", "punct"], "pos": ["ART", "NN", "$,"], "meter": "-+-", "measure": "amphibrach.single"}, "line.3": {"text": "Leicht, wie ein athmender West, bl\u00fchend,", "tokens": ["Leicht", ",", "wie", "ein", "ath\u00b7men\u00b7der", "West", ",", "bl\u00fc\u00b7hend", ","], "token_info": ["word", "punct", "word", "word", "word", "word", "punct", "word", "punct"], "pos": ["ADJD", "$,", "PWAV", "ART", "ADJA", "NN", "$,", "VVPP", "$,"], "meter": "+--+--++-", "measure": "dactylic.di.plus"}, "line.4": {"text": "wie Bl\u00fcthe des May's.", "tokens": ["wie", "Bl\u00fc\u00b7the", "des", "May'", "s."], "token_info": ["word", "word", "word", "word", "abbreviation"], "pos": ["PWAV", "NN", "ART", "NN", "NE"], "meter": "-+--+", "measure": "iambic.di.chol"}, "line.5": {"text": "Deine Wange besch\u00e4mt Aurorens gl\u00fchende Wan-", "tokens": ["Dei\u00b7ne", "Wan\u00b7ge", "be\u00b7sch\u00e4mt", "Au\u00b7ro\u00b7rens", "gl\u00fc\u00b7hen\u00b7de", "Wan"], "token_info": ["word", "word", "word", "word", "word", "word"], "pos": ["PPOSAT", "NN", "VVFIN", "NE", "ADJA", "TRUNC"], "meter": "+-+--+-+-+--+", "measure": "trochaic.hexa.relaxed"}, "line.6": {"text": "ge;", "tokens": ["ge", ";"], "token_info": ["word", "punct"], "pos": ["NE", "$."], "meter": "-", "measure": "single.down"}, "line.7": {"text": "Deines Busens Schnee blendet den blenden-", "tokens": ["Dei\u00b7nes", "Bu\u00b7sens", "Schnee", "blen\u00b7det", "den", "blen\u00b7den"], "token_info": ["word", "word", "word", "word", "word", "word"], "pos": ["PPOSAT", "NN", "NN", "VVFIN", "ART", "TRUNC"], "meter": "+-+-+---+-", "measure": "unknown.measure.tetra"}, "line.8": {"text": "den Schaum,", "tokens": ["den", "Schaum", ","], "token_info": ["word", "word", "punct"], "pos": ["ART", "NN", "$,"], "meter": "-+", "measure": "iambic.single"}, "line.9": {"text": "Welcher den Fluthen entrollt. Der Locken d\u00e4m-", "tokens": ["Wel\u00b7cher", "den", "Flut\u00b7hen", "ent\u00b7rollt", ".", "Der", "Lo\u00b7cken", "d\u00e4m"], "token_info": ["word", "word", "word", "word", "punct", "word", "word", "word"], "pos": ["PWAT", "ART", "NN", "VVPP", "$.", "ART", "NN", "TRUNC"], "meter": "+--+--+-+-+", "measure": "dactylic.di.plus"}, "line.10": {"text": "mernde Nebel", "tokens": ["mern\u00b7de", "Ne\u00b7bel"], "token_info": ["word", "word"], "pos": ["ADJA", "NN"], "meter": "--+-", "measure": "anapaest.init"}, "line.11": {"text": "Wallen ringelnd und voll rings um den w\u00f6l-", "tokens": ["Wal\u00b7len", "rin\u00b7gelnd", "und", "voll", "rings", "um", "den", "w\u00f6l"], "token_info": ["word", "word", "word", "word", "word", "word", "word", "word"], "pos": ["NN", "VVPP", "KON", "ADJD", "ADV", "APPR", "ART", "TRUNC"], "meter": "+-+--+---+", "measure": "trochaic.tetra.relaxed"}, "line.12": {"text": "benden Hals.", "tokens": ["ben\u00b7den", "Hals", "."], "token_info": ["word", "word", "punct"], "pos": ["ADJA", "NN", "$."], "meter": "--+", "measure": "anapaest.init"}, "line.13": {"text": "Flamme des Himmels beseelt dein schimmerrollendes", "tokens": ["Flam\u00b7me", "des", "Him\u00b7mels", "be\u00b7seelt", "dein", "schim\u00b7mer\u00b7rol\u00b7len\u00b7des"], "token_info": ["word", "word", "word", "word", "word", "word"], "pos": ["NN", "ART", "NN", "VVFIN", "PPOSAT", "ADJA"], "meter": "+--+--+-+-+-+", "measure": "dactylic.di.plus"}, "line.14": {"text": "Auge.", "tokens": ["Au\u00b7ge", "."], "token_info": ["word", "punct"], "pos": ["NN", "$."], "meter": "+-", "measure": "trochaic.single"}, "line.15": {"text": "Lautenlispel entquillt deinem Gespr\u00e4ch und", "tokens": ["Lau\u00b7ten\u00b7lis\u00b7pel", "ent\u00b7quillt", "dei\u00b7nem", "Ge\u00b7spr\u00e4ch", "und"], "token_info": ["word", "word", "word", "word", "word"], "pos": ["NN", "VVFIN", "PPOSAT", "NN", "KON"], "meter": "+-+--++--+-", "measure": "trochaic.penta.relaxed"}, "line.16": {"text": "Gesang.", "tokens": ["Ge\u00b7sang", "."], "token_info": ["word", "punct"], "pos": ["NN", "$."], "meter": "-+", "measure": "iambic.single"}, "line.17": {"text": "Aber, wie bald, Geliebte, wie bald zerflattert der", "tokens": ["A\u00b7ber", ",", "wie", "bald", ",", "Ge\u00b7lieb\u00b7te", ",", "wie", "bald", "zer\u00b7flat\u00b7tert", "der"], "token_info": ["word", "punct", "word", "word", "punct", "word", "punct", "word", "word", "word", "word"], "pos": ["KON", "$,", "PWAV", "ADV", "$,", "NN", "$,", "PWAV", "ADV", "VVFIN", "ART"], "meter": "+--+-+--+-+-+", "measure": "iambic.hexa.invert"}, "line.18": {"text": "Sch\u00f6nheit", "tokens": ["Sch\u00f6n\u00b7heit"], "token_info": ["word"], "pos": ["NN"], "meter": "+-", "measure": "trochaic.single"}, "line.19": {"text": "Seifenblase! wie bald sinket der nichtige", "tokens": ["Sei\u00b7fen\u00b7bla\u00b7se", "!", "wie", "bald", "sin\u00b7ket", "der", "nich\u00b7ti\u00b7ge"], "token_info": ["word", "punct", "word", "word", "word", "word", "word"], "pos": ["NN", "$.", "PWAV", "ADV", "VVFIN", "ART", "ADJA"], "meter": "+-+-+-+--+-+", "measure": "trochaic.hexa.relaxed"}, "line.20": {"text": "Schaum!", "tokens": ["Schaum", "!"], "token_info": ["word", "punct"], "pos": ["NN", "$."], "meter": "+", "measure": "single.up"}, "line.21": {"text": "Jene Rosen sind welk und jene Lilienbl\u00fcthen", "tokens": ["Je\u00b7ne", "Ro\u00b7sen", "sind", "welk", "und", "je\u00b7ne", "Li\u00b7li\u00b7en\u00b7bl\u00fc\u00b7then"], "token_info": ["word", "word", "word", "word", "word", "word", "word"], "pos": ["PDAT", "NN", "VAFIN", "ADJD", "KON", "PDAT", "NN"], "meter": "+-+--+-+-+--+-", "measure": "hexameter"}, "line.22": {"text": "St\u00f6rte der Sturmwind herab; jenes gerin-", "tokens": ["St\u00f6r\u00b7te", "der", "Sturm\u00b7wind", "her\u00b7ab", ";", "je\u00b7nes", "ge\u00b7rin"], "token_info": ["word", "word", "word", "word", "punct", "word", "word"], "pos": ["NN", "ART", "NN", "ADV", "$.", "PDAT", "TRUNC"], "meter": "+--+--++--+", "measure": "dactylic.di.plus"}, "line.23": {"text": "gelte Haar", "tokens": ["gel\u00b7te", "Haar"], "token_info": ["word", "word"], "pos": ["ADJA", "NN"], "meter": "+-+", "measure": "trochaic.di"}, "line.24": {"text": "S\u00e4uselt in weissen Locken um deine gesunkene", "tokens": ["S\u00e4u\u00b7selt", "in", "weis\u00b7sen", "Lo\u00b7cken", "um", "dei\u00b7ne", "ge\u00b7sun\u00b7ke\u00b7ne"], "token_info": ["word", "word", "word", "word", "word", "word", "word"], "pos": ["VVFIN", "APPR", "ADJA", "NN", "APPR", "PPOSAT", "ADJA"], "meter": "+--+-+--+--+--", "measure": "iambic.penta.invert"}, "line.25": {"text": "Schl\u00e4fe;", "tokens": ["Schl\u00e4\u00b7fe", ";"], "token_info": ["word", "punct"], "pos": ["NN", "$."], "meter": "+-", "measure": "trochaic.single"}, "line.26": {"text": "Jener Schimmer erlischt; jenes Gelispel", "tokens": ["Je\u00b7ner", "Schim\u00b7mer", "er\u00b7lischt", ";", "je\u00b7nes", "Ge\u00b7lis\u00b7pel"], "token_info": ["word", "word", "word", "punct", "word", "word"], "pos": ["PDAT", "NN", "VVPP", "$.", "PDAT", "NN"], "meter": "+-+--++--+-", "measure": "trochaic.penta.relaxed"}, "line.27": {"text": "erstummt.", "tokens": ["er\u00b7stummt", "."], "token_info": ["word", "punct"], "pos": ["VVFIN", "$."], "meter": "-+", "measure": "iambic.single"}, "line.28": {"text": "Wanderer kommen und fragen: \u201eWo ist die Blume", "tokens": ["Wan\u00b7de\u00b7rer", "kom\u00b7men", "und", "fra\u00b7gen", ":", "\u201e", "Wo", "ist", "die", "Blu\u00b7me"], "token_info": ["word", "word", "word", "word", "punct", "punct", "word", "word", "word", "word"], "pos": ["NN", "VVINF", "KON", "VVINF", "$.", "$(", "PWAV", "VAFIN", "ART", "NN"], "meter": "+--+--+-+--+-", "measure": "dactylic.di.plus"}, "line.29": {"text": "der Sch\u00f6nheit,", "tokens": ["der", "Sch\u00f6n\u00b7heit", ","], "token_info": ["word", "word", "punct"], "pos": ["ART", "NN", "$,"], "meter": "-+-", "measure": "amphibrach.single"}, "line.30": {"text": "\u201ewelche mit Bl\u00fcthen und Duft schm\u00fcckte", "tokens": ["\u201e", "wel\u00b7che", "mit", "Bl\u00fc\u00b7then", "und", "Duft", "schm\u00fcck\u00b7te"], "token_info": ["punct", "word", "word", "word", "word", "word", "word"], "pos": ["$(", "PRELS", "APPR", "NN", "KON", "NN", "VVFIN"], "meter": "+--+--++-", "measure": "dactylic.di.plus"}, "line.31": {"text": "das funkelnde Feld?\u201c", "tokens": ["das", "fun\u00b7keln\u00b7de", "Feld", "?", "\u201c"], "token_info": ["word", "word", "word", "punct", "punct"], "pos": ["ART", "ADJA", "NN", "$.", "$("], "meter": "-+--+", "measure": "iambic.di.chol"}, "line.32": {"text": "Wandrer, sie ist nicht mehr; sie schl\u00e4ft den eiser-", "tokens": ["Wand\u00b7rer", ",", "sie", "ist", "nicht", "mehr", ";", "sie", "schl\u00e4ft", "den", "ei\u00b7ser"], "token_info": ["word", "punct", "word", "word", "word", "word", "punct", "word", "word", "word", "word"], "pos": ["NN", "$,", "PPER", "VAFIN", "PTKNEG", "ADV", "$.", "PPER", "VVFIN", "ART", "TRUNC"], "meter": "+--+-+-+-+-", "measure": "iambic.penta.invert"}, "line.33": {"text": "nen Schlummer.", "tokens": ["nen", "Schlum\u00b7mer", "."], "token_info": ["word", "word", "punct"], "pos": ["ADJA", "NN", "$."], "meter": "-+-", "measure": "amphibrach.single"}, "line.34": {"text": "Ihren schlanken Halm knickten die St\u00fcrme;", "tokens": ["Ih\u00b7ren", "schlan\u00b7ken", "Halm", "knick\u00b7ten", "die", "St\u00fcr\u00b7me", ";"], "token_info": ["word", "word", "word", "word", "word", "word", "punct"], "pos": ["PPOSAT", "ADJA", "NN", "VVFIN", "ART", "NN", "$."], "meter": "+-+-+---+-", "measure": "unknown.measure.tetra"}, "line.35": {"text": "der Duft", "tokens": ["der", "Duft"], "token_info": ["word", "word"], "pos": ["ART", "NN"], "meter": "-+", "measure": "iambic.single"}, "line.36": {"text": "Ihres Kelches zerfloss in die L\u00fcfte des Himmels;", "tokens": ["Ih\u00b7res", "Kel\u00b7ches", "zer\u00b7floss", "in", "die", "L\u00fcf\u00b7te", "des", "Him\u00b7mels", ";"], "token_info": ["word", "word", "word", "word", "word", "word", "word", "word", "punct"], "pos": ["PPOSAT", "NN", "VVFIN", "APPR", "ART", "NN", "ART", "NN", "$."], "meter": "+-+--+--+--+-", "measure": "trochaic.penta.relaxed"}, "line.37": {"text": "die Bl\u00e4tter", "tokens": ["die", "Bl\u00e4t\u00b7ter"], "token_info": ["word", "word"], "pos": ["ART", "NN"], "meter": "-+-", "measure": "amphibrach.single"}, "line.38": {"text": "Flattern am Boden verstreut, treiben im", "tokens": ["Flat\u00b7tern", "am", "Bo\u00b7den", "ver\u00b7streut", ",", "trei\u00b7ben", "im"], "token_info": ["word", "word", "word", "word", "punct", "word", "word"], "pos": ["NN", "APPRART", "NN", "VVFIN", "$,", "VVFIN", "APPRART"], "meter": "+--+--+--+", "measure": "dactylic.tetra"}, "line.39": {"text": "Sturmwind umher.", "tokens": ["Sturm\u00b7wind", "um\u00b7her", "."], "token_info": ["word", "word", "punct"], "pos": ["NN", "PTKVZ", "$."], "meter": "+--+", "measure": "iambic.di.chol"}, "line.40": {"text": "Also ist das Loos der Erdensch\u00f6ne gefal-", "tokens": ["Al\u00b7so", "ist", "das", "Loos", "der", "Er\u00b7den\u00b7sch\u00f6\u00b7ne", "ge\u00b7fa\u00b7l"], "token_info": ["word", "word", "word", "word", "word", "word", "word"], "pos": ["ADV", "VAFIN", "ART", "NN", "ART", "NN", "TRUNC"], "meter": "+-+-+-+-+-+-+", "measure": "trochaic.septa"}, "line.41": {"text": "len.", "tokens": ["len", "."], "token_info": ["word", "punct"], "pos": ["VVINF", "$."], "meter": "-", "measure": "single.down"}, "line.42": {"text": "\u201ebl\u00fch' und welk' und stirb!\u201c sprach das", "tokens": ["\u201e", "bl\u00fch'", "und", "wel\u00b7k'", "und", "stirb", "!", "\u201c", "sprach", "das"], "token_info": ["punct", "word", "word", "word", "word", "word", "punct", "punct", "word", "word"], "pos": ["$(", "VVFIN", "KON", "VVIMP", "KON", "VVIMP", "$.", "$(", "VVFIN", "ART"], "meter": "+-++-+-+", "measure": "unknown.measure.penta"}, "line.43": {"text": "Verh\u00e4ngniss zum Staub.", "tokens": ["Ver\u00b7h\u00e4ng\u00b7niss", "zum", "Staub", "."], "token_info": ["word", "word", "word", "punct"], "pos": ["NN", "APPRART", "NN", "$."], "meter": "-+--+", "measure": "iambic.di.chol"}, "line.44": {"text": "Trauerst du darum, Geliebte? Nein, traure nicht,", "tokens": ["Trau\u00b7erst", "du", "da\u00b7rum", ",", "Ge\u00b7lieb\u00b7te", "?", "Nein", ",", "trau\u00b7re", "nicht", ","], "token_info": ["word", "word", "word", "punct", "word", "punct", "word", "punct", "word", "word", "punct"], "pos": ["VVFIN", "PPER", "PAV", "$,", "NN", "$.", "PTKANT", "$,", "VVFIN", "PTKNEG", "$,"], "meter": "+-+-+-+--+-+", "measure": "trochaic.hexa.relaxed"}, "line.45": {"text": "meine Minona!", "tokens": ["mei\u00b7ne", "Mi\u00b7no\u00b7na", "!"], "token_info": ["word", "word", "punct"], "pos": ["PPOSAT", "NN", "$."], "meter": "+-+-+", "measure": "trochaic.tri"}, "line.46": {"text": "Sprossen, bl\u00fchen, verbl\u00fchn m\u00f6ge die Sch\u00f6ne", "tokens": ["Spros\u00b7sen", ",", "bl\u00fc\u00b7hen", ",", "ver\u00b7bl\u00fchn", "m\u00f6\u00b7ge", "die", "Sch\u00f6\u00b7ne"], "token_info": ["word", "punct", "word", "punct", "word", "word", "word", "word"], "pos": ["NN", "$,", "VVFIN", "$,", "VVINF", "VMFIN", "ART", "NN"], "meter": "+-+--+-+-+-", "measure": "trochaic.penta.relaxed"}, "line.47": {"text": "des Staubs.", "tokens": ["des", "Staubs", "."], "token_info": ["word", "word", "punct"], "pos": ["ART", "NN", "$."], "meter": "-+", "measure": "iambic.single"}, "line.48": {"text": "Eine Sch\u00f6ne giebt es, die nimmer verwelkt noch ", "tokens": ["Ei\u00b7ne", "Sch\u00f6\u00b7ne", "giebt", "es", ",", "die", "nim\u00b7mer", "ver\u00b7welkt", "noch"], "token_info": ["word", "word", "word", "word", "punct", "word", "word", "word", "word"], "pos": ["ART", "NN", "VVFIN", "PPER", "$,", "PRELS", "ADV", "VVFIN", "ADV"], "meter": "+-+-+--+--+-", "measure": "trochaic.penta.relaxed"}, "line.49": {"text": "verduftet.", "tokens": ["ver\u00b7duf\u00b7tet", "."], "token_info": ["word", "punct"], "pos": ["VVPP", "$."], "meter": "-+-", "measure": "amphibrach.single"}, "line.50": {"text": "Eine Jugend, die nie kränkelt, noch altert, ", "tokens": ["Ei\u00b7ne", "Ju\u00b7gend", ",", "die", "nie", "kr", "ä", "nkelt", ",", "noch", "al\u00b7tert", ","], "token_info": ["word", "word", "punct", "word", "word", "word", "XML_entity", "word", "punct", "word", "word", "punct"], "pos": ["ART", "NN", "$,", "PRELS", "ADV", "ADJD", "$(", "VVFIN", "$,", "ADV", "ADJD", "$,"], "meter": "+-+--+-+-+-", "measure": "trochaic.penta.relaxed"}, "line.51": {"text": "noch stirbt.", "tokens": ["noch", "stirbt", "."], "token_info": ["word", "word", "punct"], "pos": ["ADV", "VVFIN", "$."], "meter": "-+", "measure": "iambic.single"}, "line.52": {"text": "Wohlge\u00fcbte Kraft giebt unverwelkliche Jugend;", "tokens": ["Wohl\u00b7ge\u00b7\u00fcb\u00b7te", "Kraft", "giebt", "un\u00b7ver\u00b7wel\u00b7kli\u00b7che", "Ju\u00b7gend", ";"], "token_info": ["word", "word", "word", "word", "word", "punct"], "pos": ["ADJA", "NN", "VVFIN", "ADJA", "NN", "$."], "meter": "+-+-+-+-+--+-", "measure": "hexameter"}, "line.53": {"text": "Ihren Aufwand ersetzt jeder erwachende", "tokens": ["Ih\u00b7ren", "Auf\u00b7wand", "er\u00b7setzt", "je\u00b7der", "er\u00b7wa\u00b7chen\u00b7de"], "token_info": ["word", "word", "word", "word", "word"], "pos": ["PPOSAT", "NN", "VVFIN", "PIAT", "ADJA"], "meter": "+-++-++--+--", "measure": "trochaic.hexa.relaxed"}, "line.54": {"text": "Tag.", "tokens": ["Tag", "."], "token_info": ["word", "punct"], "pos": ["NN", "$."], "meter": "+", "measure": "single.up"}, "line.55": {"text": "Reine Herzensg\u00fcte giebt ewiggr\u00fcnende Sch\u00f6nheit,", "tokens": ["Rei\u00b7ne", "Her\u00b7zens\u00b7g\u00fc\u00b7te", "giebt", "e\u00b7wig\u00b7gr\u00fc\u00b7nen\u00b7de", "Sch\u00f6n\u00b7heit", ","], "token_info": ["word", "word", "word", "word", "word", "punct"], "pos": ["ADJA", "NN", "VVFIN", "ADJA", "NN", "$,"], "meter": "+-+-+-+--+--+-", "measure": "hexameter"}, "line.56": {"text": "Sch\u00f6nheit vor Menschen und Welt, Sch\u00f6n-", "tokens": ["Sch\u00f6n\u00b7heit", "vor", "Men\u00b7schen", "und", "Welt", ",", "Sch\u00f6n"], "token_info": ["word", "word", "word", "word", "word", "punct", "word"], "pos": ["NN", "APPR", "NN", "KON", "NN", "$,", "TRUNC"], "meter": "+--+-+++", "measure": "iambic.penta.invert"}, "line.57": {"text": "heit vor Engeln und Gott.", "tokens": ["heit", "vor", "En\u00b7geln", "und", "Gott", "."], "token_info": ["word", "word", "word", "word", "word", "punct"], "pos": ["ADJD", "APPR", "NN", "KON", "NN", "$."], "meter": "--+--+", "measure": "anapaest.di.plus"}, "line.58": {"text": "Solche Sch\u00f6ne sey dein! Mit solcher Jugend ge-", "tokens": ["Sol\u00b7che", "Sch\u00f6\u00b7ne", "sey", "dein", "!", "Mit", "sol\u00b7cher", "Ju\u00b7gend", "ge"], "token_info": ["word", "word", "word", "word", "punct", "word", "word", "word", "word"], "pos": ["PIAT", "NN", "VAFIN", "PPOSAT", "$.", "APPR", "PIAT", "NN", "TRUNC"], "meter": "+-+--+-+-+-+", "measure": "trochaic.hexa.relaxed"}, "line.59": {"text": "g\u00fcrtet,", "tokens": ["g\u00fcr\u00b7tet", ","], "token_info": ["word", "punct"], "pos": ["VVFIN", "$,"], "meter": "+-", "measure": "trochaic.single"}, "line.60": {"text": "Siehe mit Ruhe der Zeit rastlosen Fl\u00fcgel-", "tokens": ["Sie\u00b7he", "mit", "Ru\u00b7he", "der", "Zeit", "rast\u00b7lo\u00b7sen", "Fl\u00fc\u00b7gel"], "token_info": ["word", "word", "word", "word", "word", "word", "word"], "pos": ["VVIMP", "APPR", "NN", "ART", "NN", "VVINF", "TRUNC"], "meter": "+--+--+-+-+-", "measure": "dactylic.di.plus"}, "line.61": {"text": "schwung zu.", "tokens": ["schwung", "zu", "."], "token_info": ["word", "word", "punct"], "pos": ["ADJD", "PTKVZ", "$."], "meter": "+-", "measure": "trochaic.single"}, "line.62": {"text": "Lass die Monde verrinnen, und lass die Jahre ver-", "tokens": ["Lass", "die", "Mon\u00b7de", "ver\u00b7rin\u00b7nen", ",", "und", "lass", "die", "Jah\u00b7re", "ver"], "token_info": ["word", "word", "word", "word", "punct", "word", "word", "word", "word", "word"], "pos": ["NE", "ART", "NN", "VVINF", "$,", "KON", "VVFIN", "ART", "NN", "TRUNC"], "meter": "+-+--+--+-+-+", "measure": "trochaic.hexa.relaxed"}, "line.63": {"text": "rollen!", "tokens": ["rol\u00b7len", "!"], "token_info": ["word", "punct"], "pos": ["VVINF", "$."], "meter": "+-", "measure": "trochaic.single"}, "line.64": {"text": "Lass sie mit donnerndem Sturz in der Ver-", "tokens": ["Lass", "sie", "mit", "don\u00b7nern\u00b7dem", "Sturz", "in", "der", "Ver"], "token_info": ["word", "word", "word", "word", "word", "word", "word", "word"], "pos": ["VVIMP", "PPER", "APPR", "ADJA", "NN", "APPR", "ART", "TRUNC"], "meter": "+--+--+--+", "measure": "dactylic.tetra"}, "line.65": {"text": "gessenheit Meer", "tokens": ["ges\u00b7sen\u00b7heit", "Meer"], "token_info": ["word", "word"], "pos": ["ADJD", "NN"], "meter": "+--+", "measure": "iambic.di.chol"}, "line.66": {"text": "Niederstrudeln. Die Wirbel des Strudels ergreifen", "tokens": ["Nie\u00b7der\u00b7stru\u00b7deln", ".", "Die", "Wir\u00b7bel", "des", "Stru\u00b7dels", "er\u00b7grei\u00b7fen"], "token_info": ["word", "punct", "word", "word", "word", "word", "word"], "pos": ["NN", "$.", "ART", "NN", "ART", "NN", "VVINF"], "meter": "+-+--+--+--+-", "measure": "trochaic.penta.relaxed"}, "line.67": {"text": "nur Asche.", "tokens": ["nur", "A\u00b7sche", "."], "token_info": ["word", "word", "punct"], "pos": ["ADV", "NN", "$."], "meter": "-+-", "measure": "amphibrach.single"}, "line.68": {"text": "\u00dcber der st\u00e4ubenden Fluth schimmert der", "tokens": ["\u00dc\u00b7ber", "der", "st\u00e4u\u00b7ben\u00b7den", "Fluth", "schim\u00b7mert", "der"], "token_info": ["word", "word", "word", "word", "word", "word"], "pos": ["APPR", "ART", "ADJA", "NN", "VVFIN", "ART"], "meter": "+--+--++-+", "measure": "dactylic.di.plus"}, "line.69": {"text": "ewige Geist.", "tokens": ["e\u00b7wi\u00b7ge", "Geist", "."], "token_info": ["word", "word", "punct"], "pos": ["ADJA", "NN", "$."], "meter": "+--+", "measure": "iambic.di.chol"}, "line.70": {"text": "Lass die Rosen verbl\u00fchn, und lass die Lilien", "tokens": ["Lass", "die", "Ro\u00b7sen", "ver\u00b7bl\u00fchn", ",", "und", "lass", "die", "Li\u00b7li\u00b7en"], "token_info": ["word", "word", "word", "word", "punct", "word", "word", "word", "word"], "pos": ["NE", "ART", "NN", "VVINF", "$,", "KON", "VVFIN", "ART", "NN"], "meter": "+-+--+-+-+-+", "measure": "trochaic.hexa.relaxed"}, "line.71": {"text": "welken!", "tokens": ["wel\u00b7ken", "!"], "token_info": ["word", "punct"], "pos": ["VVINF", "$."], "meter": "+-", "measure": "trochaic.single"}, "line.72": {"text": "Lass den schimmernden Stern sinken in ewige", "tokens": ["Lass", "den", "schim\u00b7mern\u00b7den", "Stern", "sin\u00b7ken", "in", "e\u00b7wi\u00b7ge"], "token_info": ["word", "word", "word", "word", "word", "word", "word"], "pos": ["NE", "ART", "ADJA", "NN", "VVFIN", "APPR", "ADJA"], "meter": "+-+--++--+-+", "measure": "asklepiade"}, "line.73": {"text": "Nacht!", "tokens": ["Nacht", "!"], "token_info": ["word", "punct"], "pos": ["NN", "$."], "meter": "+", "measure": "single.up"}, "line.74": {"text": "Lass die S\u00e4ulen des Tempels zertr\u00fcmmern! Die", "tokens": ["Lass", "die", "S\u00e4u\u00b7len", "des", "Tem\u00b7pels", "zer\u00b7tr\u00fcm\u00b7mern", "!", "Die"], "token_info": ["word", "word", "word", "word", "word", "word", "punct", "word"], "pos": ["NE", "ART", "NN", "ART", "NN", "VVINF", "$.", "ART"], "meter": "+-+-+-+-+-+", "measure": "trochaic.hexa"}, "line.75": {"text": "ewige Seele", "tokens": ["e\u00b7wi\u00b7ge", "See\u00b7le"], "token_info": ["word", "word"], "pos": ["ADJA", "NN"], "meter": "+--+-", "measure": "amphibrach.di.relaxed"}, "line.76": {"text": "Bleibet sch\u00f6n, wie sie war, war sie nur", "tokens": ["Blei\u00b7bet", "sch\u00f6n", ",", "wie", "sie", "war", ",", "war", "sie", "nur"], "token_info": ["word", "word", "punct", "word", "word", "word", "punct", "word", "word", "word"], "pos": ["VVFIN", "ADJD", "$,", "PWAV", "PPER", "VAFIN", "$,", "VAFIN", "PPER", "ADV"], "meter": "+-+-+-+-+", "measure": "trochaic.penta"}, "line.77": {"text": "weise und gut.", "tokens": ["wei\u00b7se", "und", "gut", "."], "token_info": ["word", "word", "word", "punct"], "pos": ["VVFIN", "KON", "ADJD", "$."], "meter": "+--+", "measure": "iambic.di.chol"}, "line.78": {"text": "O, sey weis' und gut! Wie k\u00f6nnt' ich dich seg-", "tokens": ["O", ",", "sey", "weis'", "und", "gut", "!", "Wie", "k\u00f6nnt'", "ich", "dich", "seg"], "token_info": ["word", "punct", "word", "word", "word", "word", "punct", "word", "word", "word", "word", "word"], "pos": ["NE", "$,", "VAFIN", "ADJD", "KON", "ADJD", "$.", "PWAV", "VMFIN", "PPER", "PRF", "TRUNC"], "meter": "-+--+-+--+", "measure": "iambic.tetra.relaxed"}, "line.79": {"text": "nender segnen,", "tokens": ["nen\u00b7der", "seg\u00b7nen", ","], "token_info": ["word", "word", "punct"], "pos": ["ADV", "VVINF", "$,"], "meter": "--+-", "measure": "anapaest.init"}}, "stanza.3": {"line.1": {"text": "Meine Minona, und wie k\u00f6nnt' ich wohl", "tokens": ["Mei\u00b7ne", "Mi\u00b7no\u00b7na", ",", "und", "wie", "k\u00f6nnt'", "ich", "wohl"], "token_info": ["word", "word", "punct", "word", "word", "word", "word", "word"], "pos": ["PPOSAT", "NN", "$,", "KON", "PWAV", "VMFIN", "PPER", "ADV"], "meter": "+--+-+-+-+", "measure": "iambic.penta.invert"}, "line.2": {"text": "edleren Wunsch,", "tokens": ["ed\u00b7le\u00b7ren", "Wunsch", ","], "token_info": ["word", "word", "punct"], "pos": ["ADJA", "NN", "$,"], "meter": "+--+", "measure": "iambic.di.chol"}, "line.3": {"text": "Edlern und br\u00fcderlichern in dieses Tages Er-", "tokens": ["Ed\u00b7lern", "und", "br\u00fc\u00b7der\u00b7li\u00b7chern", "in", "die\u00b7ses", "Ta\u00b7ges", "Er"], "token_info": ["word", "word", "word", "word", "word", "word", "word"], "pos": ["NN", "KON", "VVFIN", "APPR", "PDAT", "NN", "TRUNC"], "meter": "+--+-+--+-+-+", "measure": "iambic.hexa.invert"}, "line.4": {"text": "wachen", "tokens": ["wa\u00b7chen"], "token_info": ["word"], "pos": ["VVINF"], "meter": "+-", "measure": "trochaic.single"}, "line.5": {"text": "Dir zuflistern, als ", "tokens": ["Dir", "zu\u00b7flis\u00b7tern", ",", "als"], "token_info": ["word", "word", "punct", "word"], "pos": ["PPER", "VVINF", "$,", "KOUS"], "meter": "+-+-+", "measure": "trochaic.tri"}, "line.6": {"text": "weise, sey gut!", "tokens": ["wei\u00b7se", ",", "sey", "gut", "!"], "token_info": ["word", "punct", "word", "word", "punct"], "pos": ["VVFIN", "$,", "VAFIN", "ADJD", "$."], "meter": "+--+", "measure": "iambic.di.chol"}, "line.7": {"text": "Weisheit lohnet mit Ruh, ums\u00e4uselt mit ewigem", "tokens": ["Weis\u00b7heit", "loh\u00b7net", "mit", "Ruh", ",", "um\u00b7s\u00e4u\u00b7selt", "mit", "e\u00b7wi\u00b7gem"], "token_info": ["word", "word", "word", "word", "punct", "word", "word", "word"], "pos": ["NN", "VVFIN", "APPR", "NN", "$,", "VVFIN", "APPR", "ADJA"], "meter": "+-+--+-+--+--", "measure": "trochaic.penta.relaxed"}, "line.8": {"text": "Frieden,", "tokens": ["Frie\u00b7den", ","], "token_info": ["word", "punct"], "pos": ["NN", "$,"], "meter": "+-", "measure": "trochaic.single"}, "line.9": {"text": "L\u00e4chelt, wenn Thorheit verzagt, jubelt,", "tokens": ["L\u00e4\u00b7chelt", ",", "wenn", "Thor\u00b7heit", "ver\u00b7zagt", ",", "ju\u00b7belt", ","], "token_info": ["word", "punct", "word", "word", "word", "punct", "word", "punct"], "pos": ["VVFIN", "$,", "KOUS", "NN", "VVPP", "$,", "VVFIN", "$,"], "meter": "+--+--+-+", "measure": "dactylic.di.plus"}, "line.10": {"text": "wenn tr\u00fcmmert das All.", "tokens": ["wenn", "tr\u00fcm\u00b7mert", "das", "All", "."], "token_info": ["word", "word", "word", "word", "punct"], "pos": ["KOUS", "VVFIN", "ART", "NN", "$."], "meter": "-+--+", "measure": "iambic.di.chol"}, "line.11": {"text": "G\u00fcte adelt den Menschen zum Engel, ver\u00e4hnlicht", "tokens": ["G\u00fc\u00b7te", "a\u00b7delt", "den", "Men\u00b7schen", "zum", "En\u00b7gel", ",", "ver\u00b7\u00e4hn\u00b7licht"], "token_info": ["word", "word", "word", "word", "word", "word", "punct", "word"], "pos": ["NN", "VVFIN", "ART", "NN", "APPRART", "NN", "$,", "VVFIN"], "meter": "+-+--+--+--+-", "measure": "trochaic.penta.relaxed"}, "line.12": {"text": "der Gottheit,", "tokens": ["der", "Got\u00b7theit", ","], "token_info": ["word", "word", "punct"], "pos": ["ART", "NN", "$,"], "meter": "---", "measure": "unknown.measure.zero"}, "line.13": {"text": "S\u00e4et auf Hoffnung im Staub', erntet unend-", "tokens": ["S\u00e4et", "auf", "Hoff\u00b7nung", "im", "Staub'", ",", "ern\u00b7tet", "un\u00b7en\u00b7d"], "token_info": ["word", "word", "word", "word", "word", "punct", "word", "word"], "pos": ["VVFIN", "APPR", "NN", "APPRART", "NN", "$,", "VVFIN", "TRUNC"], "meter": "--+--+--+-+", "measure": "anapaest.tri.plus"}, "line.14": {"text": "liche Saat.", "tokens": ["li\u00b7che", "Saat", "."], "token_info": ["word", "word", "punct"], "pos": ["ADJA", "NN", "$."], "meter": "--+", "measure": "anapaest.init"}}}}} |
{"time":"2012-09", "rankList":[{"name":"武汉大学","rank":57553},{"name":"华中科技大学","rank":51187},{"name":"上海交通大学","rank":44124},{"name":"复旦大学","rank":35354},{"name":"厦门大学","rank":31248}]}
|
{
"name": "Prankster Mage",
"rarity": "Epic",
"type": "Creature",
"subtypes": [
"Khajiit"
],
"cost": 5,
"power": 5,
"health": 3,
"set": {
"name": "Monthly Rewards",
"id": "mr"
},
"collectible": true,
"soulSummon": 400,
"soulTrap": 100,
"text": "Ward. While Prankster Mage has a Ward, he has Guard. When Prankster Mage's Ward is broken, he gains Cover.",
"attributes": [
"Intelligence",
"Agility"
],
"keywords": [
"Ward",
"Guard"
],
"unique": false,
"imageUrl": "https://www.legends-decks.com/img_cards/prankstermage.png",
"id": "aa5b49af-7bd6-5117-8636-5155d0687a84",
"code": "xd"
}
|
{
"first_traded_price": 4825.0,
"highest_price": 4825.0,
"isin": "IRO1TMKH0001",
"last_traded_price": 4486.0,
"lowest_price": 4484.0,
"trade_volume": 1413741.0,
"unix_time": 1475539200
} |
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Move Body Fat - Subliminal Affirmations", "author_name": "Mind Power", "height": 338, "width": 600, "html": "<iframe width=\"600\" height=\"338\" src=\"https://www.youtube.com/embed/ohmJ8U_zRcE?feature=oembed\" frameborder=\"0\" allowfullscreen></iframe>", "thumbnail_width": 480, "provider_name": "YouTube", "thumbnail_url": "https://i.ytimg.com/vi/ohmJ8U_zRcE/hqdefault.jpg", "type": "video", "thumbnail_height": 360, "author_url": "https://www.youtube.com/channel/UCM1zozj3UrSpJTg5umnkQfQ"}}, "upvote_ratio": 0.9, "mod_reports": [], "is_self": false, "visited": false, "subreddit_type": "public", "is_video": false, "ups": 18}}], "after": null, "before": null}}, {"kind": "Listing", "data": {"modhash": "", "whitelist_status": "all_ads", "children": [{"kind": "t1", "data": {"subreddit_id": "t5_2vsta", "approved_at_utc": null, "banned_by": null, "removal_reason": null, "link_id": "t3_6lgp7k", "likes": null, "replies": {"kind": "Listing", "data": {"modhash": "", "whitelist_status": "all_ads", "children": [{"kind": "t1", "data": {"subreddit_id": "t5_2vsta", "approved_at_utc": null, "banned_by": null, "removal_reason": null, "link_id": "t3_6lgp7k", "likes": null, "replies": {"kind": "Listing", "data": {"modhash": "", "whitelist_status": "all_ads", "children": [{"kind": "t1", "data": {"subreddit_id": "t5_2vsta", "approved_at_utc": null, "banned_by": null, "removal_reason": null, "link_id": "t3_6lgp7k", "likes": null, "replies": "", "user_reports": [], "saved": false, "id": "djueev5", "banned_at_utc": null, "gilded": 0, "archived": false, "report_reasons": null, "author": "poly_love", "can_mod_post": false, "ups": 2, "parent_id": "t1_dju9alh", "score": 2, "approved_by": null, "downs": 0, "body": "Honestly I'm a total pleb when it comes to dystopian novels. I've only read 1984 and Brave New World; I just have a cynical point of view and a basic understanding of where technology is headed. I got the cornea transplant idea from Minority Report.\n\nAddendum:\n\nI see you post to /r/Christianity. I wish you luck, but remember that subreddit is not meant for Christians, it's only meant for discussing Christianity. An inconsequential number of the moderators are non(read:anti)-Christian.\n\n[I tried warning them](https://i.imgur.com/KEzLFM3.png) but ultimately I was banned.", "edited": 1499324560.0, "author_flair_css_class": "", "collapsed": false, "is_submitter": false, "collapsed_reason": null, "body_html": "<div class=\"md\"><p>Honestly I&#39;m a total pleb when it comes to dystopian novels. I&#39;ve only read 1984 and Brave New World; I just have a cynical point of view and a basic understanding of where technology is headed. I got the cornea transplant idea from Minority Report.</p>\n\n<p>Addendum:</p>\n\n<p>I see you post to <a href=\"/r/Christianity\">/r/Christianity</a>. I wish you luck, but remember that subreddit is not meant for Christians, it&#39;s only meant for discussing Christianity. An inconsequential number of the moderators are non(read:anti)-Christian.</p>\n\n<p><a href=\"https://i.imgur.com/KEzLFM3.png\">I tried warning them</a> but ultimately I was banned.</p>\n</div>", "stickied": false, "can_gild": true, "subreddit": "milliondollarextreme", "score_hidden": false, "permalink": "/r/milliondollarextreme/comments/6lgp7k/this_exists/djueev5/", "subreddit_type": "public", "name": "t1_djueev5", "created": 1499352022.0, "author_flair_text": "Official MDE Ambassador to /r/TrollXChromosomes", "created_utc": 1499323222.0, "subreddit_name_prefixed": "r/milliondollarextreme", "controversiality": 0, "depth": 2, "mod_reports": [], "num_reports": null, "distinguished": null}}], "after": null, "before": null}}, "user_reports": [], "saved": false, "id": "dju9alh", "banned_at_utc": null, "gilded": 0, "archived": false, "report_reasons": null, "author": "Atreun", "can_mod_post": false, "ups": 4, "parent_id": "t1_dju0sut", "score": 4, "approved_by": null, "downs": 0, "body": "It's funny how we read dystopian novels yet we live in one.\n\nFeel free to recommend a good one though, i'm running out of dystopian books to read.", "edited": false, "author_flair_css_class": "", "collapsed": false, "is_submitter": true, "collapsed_reason": null, "body_html": "<div class=\"md\"><p>It&#39;s funny how we read dystopian novels yet we live in one.</p>\n\n<p>Feel free to recommend a good one though, i&#39;m running out of dystopian books to read.</p>\n</div>", "stickied": false, "can_gild": true, "subreddit": "milliondollarextreme", "score_hidden": false, "permalink": "/r/milliondollarextreme/comments/6lgp7k/this_exists/dju9alh/", "subreddit_type": "public", "name": "t1_dju9alh", "created": 1499342436.0, "author_flair_text": "Thot Patrol", "created_utc": 1499313636.0, "subreddit_name_prefixed": "r/milliondollarextreme", "controversiality": 0, "depth": 1, "mod_reports": [], "num_reports": null, "distinguished": null}}], "after": null, "before": null}}, "user_reports": [], "saved": false, "id": "dju0sut", "banned_at_utc": null, "gilded": 0, "archived": false, "report_reasons": null, "author": "poly_love", "can_mod_post": false, "ups": 10, "parent_id": "t3_6lgp7k", "score": 10, "approved_by": null, "downs": 0, "body": "Moving fat from your ass to your tits isn't going to happen, but I could totally see this becoming a thing for self-affirmation once VR gets somewhat believable. You'll have people who get addicted to living in a world full of Yes Men who always agree with you and compliment you.\n\nPeople will write up VR programs where you just walk through a crowd of NPCs far more attractive than you and they all whisper to one another just loudly enough for you to hear, \"Oh wow s/he's the most beautiful person I've ever seen.\"\n\nThere will be specialized therapists for trying to reintegrate people back into handling the real world from VR overload. If it gets to be a huge problem there will be state mandated \"exposure limits\" wherein you're limited to only X number of VR hours per week. There will be a huge underground network for purchasing forged VR credits and back-alley cornea transplants to make your eyes untraceable.", "edited": false, "author_flair_css_class": "", "collapsed": false, "is_submitter": false, "collapsed_reason": null, "body_html": "<div class=\"md\"><p>Moving fat from your ass to your tits isn&#39;t going to happen, but I could totally see this becoming a thing for self-affirmation once VR gets somewhat believable. You&#39;ll have people who get addicted to living in a world full of Yes Men who always agree with you and compliment you.</p>\n\n<p>People will write up VR programs where you just walk through a crowd of NPCs far more attractive than you and they all whisper to one another just loudly enough for you to hear, &quot;Oh wow s/he&#39;s the most beautiful person I&#39;ve ever seen.&quot;</p>\n\n<p>There will be specialized therapists for trying to reintegrate people back into handling the real world from VR overload. If it gets to be a huge problem there will be state mandated &quot;exposure limits&quot; wherein you&#39;re limited to only X number of VR hours per week. There will be a huge underground network for purchasing forged VR credits and back-alley cornea transplants to make your eyes untraceable.</p>\n</div>", "stickied": false, "can_gild": true, "subreddit": "milliondollarextreme", "score_hidden": false, "permalink": "/r/milliondollarextreme/comments/6lgp7k/this_exists/dju0sut/", "subreddit_type": "public", "name": "t1_dju0sut", "created": 1499330526.0, "author_flair_text": "Official MDE Ambassador to /r/TrollXChromosomes", "created_utc": 1499301726.0, "subreddit_name_prefixed": "r/milliondollarextreme", "controversiality": 0, "depth": 0, "mod_reports": [], "num_reports": null, "distinguished": null}}, {"kind": "t1", "data": {"subreddit_id": "t5_2vsta", "approved_at_utc": null, "banned_by": null, "removal_reason": null, "link_id": "t3_6lgp7k", "likes": null, "replies": {"kind": "Listing", "data": {"modhash": "", "whitelist_status": "all_ads", "children": [{"kind": "t1", "data": {"subreddit_id": "t5_2vsta", "approved_at_utc": null, "banned_by": null, "removal_reason": null, "link_id": "t3_6lgp7k", "likes": null, "replies": "", "user_reports": [], "saved": false, "id": "djuap05", "banned_at_utc": null, "gilded": 0, "archived": false, "report_reasons": null, "author": "Atreun", "can_mod_post": false, "ups": 2, "parent_id": "t1_dju9jxl", "score": 2, "approved_by": null, "downs": 0, "body": "I am now safely transferring body fat from my waist to my breasts and butt.", "edited": false, "author_flair_css_class": "", "collapsed": false, "is_submitter": true, "collapsed_reason": null, "body_html": "<div class=\"md\"><p>I am now safely transferring body fat from my waist to my breasts and butt.</p>\n</div>", "stickied": false, "can_gild": true, "subreddit": "milliondollarextreme", "score_hidden": false, "permalink": "/r/milliondollarextreme/comments/6lgp7k/this_exists/djuap05/", "subreddit_type": "public", "name": "t1_djuap05", "created": 1499344700.0, "author_flair_text": "Thot Patrol", "created_utc": 1499315900.0, "subreddit_name_prefixed": "r/milliondollarextreme", "controversiality": 0, "depth": 1, "mod_reports": [], "num_reports": null, "distinguished": null}}], "after": null, "before": null}}, "user_reports": [], "saved": false, "id": "dju9jxl", "banned_at_utc": null, "gilded": 0, "archived": false, "report_reasons": null, "author": "Satansyngel", "can_mod_post": false, "ups": 6, "parent_id": "t3_6lgp7k", "score": 6, "approved_by": null, "downs": 0, "body": "I\n\nI BELIEVE\n\nI BELIEVE THAT \n\nI BELIEVE THAT SHE\n\nI BELIEVE THAT SHE WILL \n\nI BELIEVE THAT SHE WILL WIN \n\nI BELIEVE THAT SHE WILL WIN. I BELIEVE THAT SHE WILL WIN. I BELIEVE THAT SHE WILL WIN. I BELIEVE THAT SHE WILL WIN. I BELIEVE THAT SHE WILL WIN. I BELIEVE THAT SHE WILL WIN. I BELIEVE THAT SHE WILL WIN. I BELIEVE THAT SHE WILL WIN. I BELIEVE THAT SHE WILL WIN. I BELIEVE THAT SHE WILL WIN. I BELIEVE THAT SHE WILL WIN. I BELIEVE THAT SHE WILL WIN. ", "edited": false, "author_flair_css_class": null, "collapsed": false, "is_submitter": false, "collapsed_reason": null, "body_html": "<div class=\"md\"><p>I</p>\n\n<p>I BELIEVE</p>\n\n<p>I BELIEVE THAT </p>\n\n<p>I BELIEVE THAT SHE</p>\n\n<p>I BELIEVE THAT SHE WILL </p>\n\n<p>I BELIEVE THAT SHE WILL WIN </p>\n\n<p>I BELIEVE THAT SHE WILL WIN. I BELIEVE THAT SHE WILL WIN. I BELIEVE THAT SHE WILL WIN. I BELIEVE THAT SHE WILL WIN. I BELIEVE THAT SHE WILL WIN. I BELIEVE THAT SHE WILL WIN. I BELIEVE THAT SHE WILL WIN. I BELIEVE THAT SHE WILL WIN. I BELIEVE THAT SHE WILL WIN. I BELIEVE THAT SHE WILL WIN. I BELIEVE THAT SHE WILL WIN. I BELIEVE THAT SHE WILL WIN. </p>\n</div>", "stickied": false, "can_gild": true, "subreddit": "milliondollarextreme", "score_hidden": false, "permalink": "/r/milliondollarextreme/comments/6lgp7k/this_exists/dju9jxl/", "subreddit_type": "public", "name": "t1_dju9jxl", "created": 1499342834.0, "author_flair_text": null, "created_utc": 1499314034.0, "subreddit_name_prefixed": "r/milliondollarextreme", "controversiality": 0, "depth": 0, "mod_reports": [], "num_reports": null, "distinguished": null}}, {"kind": "t1", "data": {"subreddit_id": "t5_2vsta", "approved_at_utc": null, "banned_by": null, "removal_reason": null, "link_id": "t3_6lgp7k", "likes": null, "replies": "", "user_reports": [], "saved": false, "id": "djtsop5", "banned_at_utc": null, "gilded": 0, "archived": false, "report_reasons": null, "author": "3ruid", "can_mod_post": false, "ups": 1, "parent_id": "t3_6lgp7k", "score": 1, "approved_by": null, "downs": 0, "body": "There's a modicum of truth to this:\n\nFake it till you make it.\n\nSomething like that.", "edited": false, "author_flair_css_class": "", "collapsed": false, "is_submitter": false, "collapsed_reason": null, "body_html": "<div class=\"md\"><p>There&#39;s a modicum of truth to this:</p>\n\n<p>Fake it till you make it.</p>\n\n<p>Something like that.</p>\n</div>", "stickied": false, "can_gild": true, "subreddit": "milliondollarextreme", "score_hidden": false, "permalink": "/r/milliondollarextreme/comments/6lgp7k/this_exists/djtsop5/", "subreddit_type": "public", "name": "t1_djtsop5", "created": 1499320115.0, "author_flair_text": "99th percentile in everything", "created_utc": 1499291315.0, "subreddit_name_prefixed": "r/milliondollarextreme", "controversiality": 0, "depth": 0, "mod_reports": [], "num_reports": null, "distinguished": null}}, {"kind": "t1", "data": {"subreddit_id": "t5_2vsta", "approved_at_utc": null, "banned_by": null, "removal_reason": null, "link_id": "t3_6lgp7k", "likes": null, "replies": "", "user_reports": [], "saved": false, "id": "djub2bw", "banned_at_utc": null, "gilded": 0, "archived": false, "report_reasons": null, "author": "xfLyFPS", "can_mod_post": false, "ups": 1, "parent_id": "t3_6lgp7k", "score": 1, "approved_by": null, "downs": 0, "body": "We need a butcher.", "edited": false, "author_flair_css_class": "", "collapsed": false, "is_submitter": false, "collapsed_reason": null, "body_html": "<div class=\"md\"><p>We need a butcher.</p>\n</div>", "stickied": false, "can_gild": true, "subreddit": "milliondollarextreme", "score_hidden": false, "permalink": "/r/milliondollarextreme/comments/6lgp7k/this_exists/djub2bw/", "subreddit_type": "public", "name": "t1_djub2bw", "created": 1499345342.0, "author_flair_text": "noshower 7 months & justice for numeric ouija", "created_utc": 1499316542.0, "subreddit_name_prefixed": "r/milliondollarextreme", "controversiality": 0, "depth": 0, "mod_reports": [], "num_reports": null, "distinguished": null}}, {"kind": "t1", "data": {"subreddit_id": "t5_2vsta", "approved_at_utc": null, "banned_by": null, "removal_reason": null, "link_id": "t3_6lgp7k", "likes": null, "replies": "", "user_reports": [], "saved": false, "id": "djw7fzq", "banned_at_utc": null, "gilded": 0, "archived": false, "report_reasons": null, "author": "Viberin", "can_mod_post": false, "ups": 1, "parent_id": "t3_6lgp7k", "score": 1, "approved_by": null, "downs": 0, "body": "I'm hearing jewish voices and I like it ", "edited": false, "author_flair_css_class": null, "collapsed": false, "is_submitter": false, "collapsed_reason": null, "body_html": "<div class=\"md\"><p>I&#39;m hearing jewish voices and I like it </p>\n</div>", "stickied": false, "can_gild": true, "subreddit": "milliondollarextreme", "score_hidden": false, "permalink": "/r/milliondollarextreme/comments/6lgp7k/this_exists/djw7fzq/", "subreddit_type": "public", "name": "t1_djw7fzq", "created": 1499444803.0, "author_flair_text": null, "created_utc": 1499416003.0, "subreddit_name_prefixed": "r/milliondollarextreme", "controversiality": 0, "depth": 0, "mod_reports": [], "num_reports": null, "distinguished": null}}], "after": null, "before": null}}] |
{
"order": "66939"
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,"count": "20"
}
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{"uuid": "5b11e8e0-85e2-4d7c-bfc8-9e157162c4e0", "befores": [{"name": "likelihood", "status": "passed", "start": 1630873694498, "stop": 1630873694498}], "start": 1630873694498, "stop": 1630873694978} |
{
"key": {
"privateKeyPem": "-----BEGIN RSA PRIVATE KEY-----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\nQMQP8bAN5vmyiZHAfWWCLRmfNrtJinn9iPHvpd/1klDhmssP+nbP\n-----END RSA PRIVATE KEY-----\n",
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},
"publicKeyJwk": {
"kty": "RSA",
"n": "xBMWtD7rnj8roocR4_8UYEGo5eqz6RAdBcSuc3_pDX2rKAR1ZQ6pYaAfxhiupiQb7NPeVSIr6yjuNn23RiR14PqG5T1Mug2t79UNTEJ0PxFVxBXL7di3PS_j6SxeE8ZPpxO4No2hYYNb_hkAtGJ5Ru4dakrvPPMAQ292qsd-j3_bv8NrrHTAdJnJPDdDxYd87avAnvSXyuQrFgT0r8_XGszIuTwB1S8PbSmTGJ-wIc15yGBbr7RLEztxv2fJ3FwU51L4zb6NBqgPxZOfsxtazw0PQODlSsttq994mp_YcKOMg0eggCCiKk_BepuY4-2bPWEVHSmWLGnycmnlCFt8zQ",
"e": "AQAB"
}
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{
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"version": "0.5.1",
"main": "index.js",
"author": "Vincent Chan",
"license": "MIT",
"repository": {
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},
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],
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},
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"test": "JETPACK_LOCAL=true jest"
},
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"jest": "^27.2.0"
}
}
|
{"topic": "first", "value": "34.81"} |
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["ed7fbf99538f0954c7daf70f1c0339a4e60f004f"] |
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{"科目名":"造形構想研究指導Ⅰ","講義名":"造形構想研究指導Ⅰ（映像写真コース）","担当研究室":"映像学科","担当教員":"小口 詩子","分野":"研究指導科目","対象学年":"1年","科目群":"研究指導科目","キャンパス":"鷹の台","開講期間":"通年 2021/04/12-2021/12/18","曜日・時限":"集中","授業形態":"演習","単位数":"4.0","履修条件":"特になし","備考":"※本授業は鷹の台キャンパスで行う","授業概要・カリキュラム上の位置づけ":"映画・ドラマなど実写系の映像制作を志す院生が対象です。自己プロデュースの視点に立ち、個々の資質・興味・志望などを念頭に、大学院での２年間の総合的なスケジュールを立ててもらうことからスタートします。個人面談とチームミーティング（プロジェクト）が中心です。制作については、個性の研ぎ澄まされた魅力的な企画の発案、脚本の練り上げ、様々な準備～現場をヴィジョンをもって実践的に進め、完成した作品の出口や発展の可能性を考慮実行してもらう点で、学部のゼミと共通です。国内外の映画祭への出品・参加、企画開発、各種プロモーションへのチャレンジも同様。先輩たちもそうした中での受賞や訴求を、次回作のスカラシップ獲得や監督デビュー、国内外での公開と、次への大きなステップにつなげています。意志とスタミナさえあれば、制作や上映の過程で、内外の学生や先輩たち、地域やNPO、業界関連とも縦横の連携・交流を掘り起こしていくことが可能です。ものづくりの現場では人間力（演出力）が問われるため、人間スキルを磨く場と認識し、状況を俯瞰、時にはリーダーシップを発揮して、あらゆることをポジティブに楽しんでもらえたらと思います。並行して、できれば１年のうちに、関連する学部の授業にも積極的に参加し、知識や発想の幅を広げ、不足すると思われる技術の強化、人脈作りにも力を入れてください。","授業方法":"各自週１回程度の予約制の個人面談が基本。発想力や企画力強化のための課題を受けたプレゼンテーションから、作品の構想、脚本執筆、ブレイクダウンを踏まえた諸準備、撮影、仕上げまでを、報告・相談・連絡のやり取りの中で進めてもらいます。また、ゼミ形式により、＋αのゲストレクチャーやワークショップ、プロジェクトへの参加・運営など、実践で人間力を練磨します。※授業の告知はMicrosoft Teams を用い、面談は対面かZoomなどonlineで行う。","到達目標":"各自が立てるスケジュールを到達目標とします。実践しながら適宜見直し修正していきましょう。","授業計画・課題に対するフィードバック":"各自の作品制作を軸としつつ、学内外の様々なプロジェクトに参加、あるいは企画運営を試みましょう。 適宜機会も提示していきます。","履修上の留意点":"報（告）連（絡）相（談）とマナー、それに比例するクリエイティビティ、主体性と行動力重視。相談の上、制作力の強化と人脈づくりのため、「デジタルドラマII」「ディレクター実習I」「ディレクター実習II」「映画技術」など学部授業のチームワークによる映像制作や実践講座への参加を推奨します。","準備学習内容・時間の目安":"面談の中に宿題を見つけて次回までに答えを持参するゲームの繰り返し。","成績評価の方法":"各自の到達目標に対する熱意ある取り組みと結果を総合評価。","テキスト":"特になし","教員との連絡方法（オフィスアワー）":"※Microsoft Teams を使用。"} |
[
{ //Argentina's
"name": "Gaucho",
"unitType": "Mounted",
"replaces": "Lancer",
"movement": 4,
"strength": 25,
"cost": 155,
"hurryCostModifier": 25,
"requiredResource": "Horses",
"requiredTech": "Metallurgy",
"obsoleteTech": "Combined Arms",
"upgradesTo": "Anti-Tank Gun",
"uniqueTo": "Argentina",
"uniques": ["Can move after attacking", "No defensive terrain bonus"],
"promotions": ["[Gaucho] ability"],
"civilopediaText": [
{
"text": "Men mounted on horse, the skilled Gauchos from the Northern river plains were masters at the livestock work, who were the cogs behind the important livestock economy. Good warriors as well, fighting for independence and conquering the Patagonia for Argentina."
}
],
"attackSound": "horse",
},
{ //Bolivia's
"name": "Colorado",
"unitType": "Gunpowder",
"replaces": "Rifleman",
"movement": 2,
"strength": 34,
"cost": 225,
"requiredTech": "Rifling",
"obsoleteTech": "Replaceable Parts",
"upgradesTo": "Great War Infantry",
"uniqueTo": "Bolivia",
"promotions": ["Woodsman"],
"civilopediaText": [
{
"text": "This elite and ferrous unit is not to be underestimated. Their homeland is the only thing they strive for, having a great performance on the wars, although it was not enough for the bad government's strategy."
}
],
"attackSound": "shot",
},
{ //Brasil's
"name": "Cascavel",
"unitType": "Armored",
"replaces": "Tank",
"movement": 5,
"strength": 67,
"cost": 300,
"requiredResource": "Oil",
"requiredTech": "Combined Arms",
"obsoleteTech": "Lasers",
"upgradesTo": "Modern Armor",
"uniqueTo": "Brazil",
"uniques": ["Can move after attacking"],
"promotions": ["Ignore terrain cost"],
"civilopediaText": [
{
"text": "Arguably the best piece of military equipment made in Latin America. The EE-09 Cascavel is a tank but on wheels, but a dangerous tank for the enemy, allowing it more agility and versatility in the rough terrains of the continent."
}
],
"attackSound": "tankshot"
},
{ //Chile's
"name": "Liberator Scuadron",
"replaces": "Frigate",
"unitType": "WaterRanged",
"movement": 5,
"strength": 25,
"rangedStrength": 28,
"cost": 185,
"hurryCostModifier": 20,
"requiredResource": "Iron",
"requiredTech": "Navigation",
"obsoleteTech": "Electronics",
"upgradesTo": "Battleship",
"uniqueTo": "Chile",
"promotions": ["[Liberator Scuadron] ability"],
"civilopediaText": [
{
"text": "The patriotic sail men of the squadrons defeated both the Spanish and Peruvian fleets against expectations. They don't fear nor the terrific Pacific nor a heavy Ironclad."
}
],
"attackSound": "shipguns",
},
{ //Colombia's
"name": "Jungla",
"replaces": "Infantry",
"uniqueTo": "Colombia",
"unitType": "Gunpowder",
"movement": 2,
"strength": 70,
"cost": 400,
"requiredTech": "Plastics",
"upgradesTo": "Mechanized Infantry",
"obsoleteTech": "Mobile Tactics",
"promotions": ["[Jungla] ability"],
"civilopediaText": [
{
"text": "The best elite commando units of, arguably, the hemisphere, they specialize in Jungle combat and anti-narcotraffic operations. These spec ops units excel at headhunting, annd they continue to prove their skill to this very day."
}
],
"attackSound": "shot",
},
{ //Costa Rica's
"name": "Campesino Patriota",
"replaces": "Longswordsman",
"unitType": "Sword",
"movement": 2,
"strength": 21,
"cost": 120,
"requiredTech": "Steel",
"upgradesTo": "Musketman",
"uniqueTo": "Costa Rica",
"uniques": ["Unable to capture cities",
"[-100]% Strength <when fighting in [Foreign Land] tiles>",
"[+15]% Strength <during the [Renaissance era]>","[+62]% Strength <during the [Industrial era]>","[+139]% Strength <during the [Modern era]>"],
"promotions": ["[Campesino Patriota] ability"],
"civilopediaText": [
{
"text": "Drafted patriotic men willing to give it all for their country's sovereignty. Going through volcanic chains, jungles and forest, these brave warriors fought to the bitter end to give their country hope."
}
],
},
{ //Cuba's
"name": "Guerrillero",
"replaces": "Great War Infantry",
"uniqueTo": "Cuba",
"unitType": "Gunpowder",
"movement": 2,
"strength": 50,
"cost": 240,
"requiredTech": "Replaceable Parts",
"upgradesTo": "Infantry",
"obsoleteTech": "Plastics",
"uniques": ["Ignores terrain cost","Invisible to non-adjacent units"],
"promotions": ["Guerrillero ability"],
"civilopediaText": [
{
"text": "These sons of a mother fought on all corners of the world to spread their beloved revolution and founding countless guerrilla groups to be feared, from South America to Africa, causing terror and chaos to the inhabiants."
}
],
"attackSound": "shot"
},
{ //Ecuador's
"name": "Tarqui Grenadiers",
"unitType": "Mounted",
"replaces": "Cavalry",
"movement": 4,
"strength": 34,
"cost": 225,
"requiredResource": "Horses",
"requiredTech": "Military Science",
"obsoleteTech": "Combustion",
"upgradesTo": "Landship",
"uniqueTo": "Ecuador",
"uniques": ["Can move after attacking","No defensive terrain bonus","[-33]% Strength <vs cities>"],
"promotions": ["[Tarqui Grenadiers] ability","Home Sweet Home"],
"civilopediaText": [
{
"text": "Their show of discipline elevated them to be the elite cavalry of equatorial nation. Having fought on harsh terrain, the grenadiers didn't break their discipline."
}
],
"attackSound": "horse"
},
{ //Mexico's
"name": "201 Scuadron",
"replaces": "Fighter",
"unitType": "Fighter",
"movement": 1,
"strength": 48,
"rangedStrength": 45,
"range": 9,
"interceptRange": 9,
"cost": 375,
"requiredResource": "Oil",
"requiredTech": "Radar",
"obsoleteTech": "Lasers",
"upgradesTo": "Jet Fighter",
"promotions": ["Bombardment I"],
"uniqueTo": "Mexico",
"uniques": ["[100]% chance to intercept air attacks","[+150]% Strength <vs [Bomber] units>",
"[+35]% Strength <vs [Fighter] units>"],
"civilopediaText": [
{
"text": "Fierce pilots who trained and fought with the US against a common enemy, the Empire of Japan. Battling with the unstoppable warriors of Japan on the Pacific Ocean, the brave men earned their respect and marked high the name of their country."
}
],
"attackSound": "machinegun",
},
/* { //Panama's
"name": "Fuerza Publica",
"replaces": "Infantry",
"uniqueTo": "Panama",
"unitType": "Gunpowder",
"movement": 2,
"strength": 70,
"cost": 375,
"requiredTech": "Plastics",
"upgradesTo": "Mechanized Infantry",
"obsoleteTech": "Mobile Tactics",
"uniques": ["[+50]% Strength decreasing with distance from the capital","Limited to [5] per Civilization"],
"civilopediaText": [
{
"text": "missing text"
}
],
"attackSound": "shot"
},
{ //Panama's
"name": "Buccaneer",
"unitType": "Melee Water",
"replaces": "Privateer",
"uniqueTo": "Panama",
"movement": 5,
"strength": 28,
"cost": 150,
"requiredTech": "Navigation",
"upgradesTo": "Destroyer",
"promotions": ["Coastal Raider I"],
"uniques": ["May capture killed [Water] units","Can move after attacking"],
"civilopediaText": [
{
"text": "missing text"
}
],
"attackSound": "cannon"
},*/
{ //Paraguay's
"name": "Aca Yboty",
"replaces": "Landship",
"unitType": "Mounted",
"movement": 4,
"strength": 62,
"cost": 300,
"requiredTech": "Combustion",
"obsoleteTech": "Combined Arms",
"upgradesTo": "Tank",
"uniqueTo": "Paraguay",
"uniques": ["Can move after attacking", "[-33]% Strength <vs cities>",
"[-20]% Strength <vs [Armored] units>",
"[+20]% Strength <vs [Gunpowder] units>","[+20]% Strength <vs [Ranged Gunpowder] units>"],
"civilopediaText": [
{
"text": "Courageous horsemen who fought to the bitter end, on harsh biomes, climate and conditions, but nevertheless their lion courage made all their acts heroic."
}
],
"attackSound": "horse",
},
{ //Peru's
"name": "Peruvian Legion",
"unitType": "Gunpowder",
"replaces": "Gatling Gun",
"movement": 2,
"strength": 30,
"rangedStrength": 35,
"range": 1,
"cost": 225,
"hurryCostModifier": 40,
"requiredTech": "Industrialization",
"obsoleteTech": "Ballistics",
"upgradesTo": "Machine Gun",
"uniqueTo": "Peru",
"uniques": ["Ignores terrain cost"],
"civilopediaText": [
{
"text": "Marching on the Andes is no easy task, even less when you are forced to in order to capture the mayor population centers. But these units did the task as hard as it was."
}
],
"attackSound": "shot",
},
{ //Venezuela's
"name": "Patriot Army",
"unitType": "Gunpowder",
"replaces": "Rifleman",
"movement": 2,
"strength": 34,
"cost": 200,
"requiredTech": "Rifling",
"obsoleteTech": "Replaceable Parts",
"upgradesTo": "Great War Infantry",
"uniqueTo": "Venezuela",
"uniques": ["Can pass through impassable tiles"],
"promotions": ["[Patriot Army] ability","Great Generals I"],
"civilopediaText": [
{
"text": "From a rag-tag arm, to one of the most professional ones on the continent, soldiers from three countries join together to earn freedom for their people and the rest of the continent."
}
],
"attackSound": "shot",
},
{
"name": "Llanero",
"replaces": "Worker",
"unitType": "Civilian",
"movement": 4,
"uniques": ["Can build [Land] improvements on tiles", "Automation is a primary action",
"[+5]% Strength bonus for [Mounted] units within [0] tiles",
"Can transform to [Llanero Patrol] <starting from the [Industrial era]>"],
"cost": 70
"uniqueTo": "Venezuela",
"civilopediaText": [
{
"text": "."
}
]
},
{
"name": "Llanero Patrol",
"unitType": "Mounted",
"replaces": "Cavalry",
"uniqueTo": "Venezuela",
"movement": 4,
"strength": 34,
"cost": 225,
"requiredTech": "Military Science",
"obsoleteTech": "Combustion",
"requiredResource": "Horses",
"upgradesTo": "Landship",
"uniques": ["Can move after attacking","No defensive terrain bonus","[-33]% Strength <vs cities> <when attacking>",
"Can transform to [Llanero]"],
"promotions": ["Shock I","Morale"],
"attackSound": "horse"
},
]
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"apiVersion": "2016-01-01",
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}
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{
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{
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"setup": "mkdir -p __autograding/Take_Off_Phase_Detection ; ls testSuite/mono | xargs -I fileName java -jar target/referencePandora.jar -o takeOff testSuite/mono/fileName &>> __autograding/Take_Off_Phase_Detection/expected ; ls testSuite/mono | xargs -I fileName java -jar target/pandora.jar -o takeOff testSuite/mono/fileName &>> __autograding/Take_Off_Phase_Detection/output",
"run": "diff -qs -iBbd --strip-trailing-cr __autograding/Take_Off_Phase_Detection/expected __autograding/Take_Off_Phase_Detection/output ;\ncat __autograding/Take_Off_Phase_Detection/output >> __autograding/result.txt\ndiff -qs -iBbd --strip-trailing-cr __autograding/Take_Off_Phase_Detection/expected __autograding/Take_Off_Phase_Detection/output &>> __autograding/result.txt",
"input": "",
"output": "identical",
"comparison": "included",
"timeout": 10,
"points": 1
},
{
"name": "Cruise Phase Detection",
"setup": "mkdir -p __autograding/Cruise_Phase_Detection ; ls testSuite/mono | xargs -I fileName java -jar target/referencePandora.jar -o cruise testSuite/mono/fileName &>> __autograding/Cruise_Phase_Detection/expected ; ls testSuite/mono | xargs -I fileName java -jar target/pandora.jar -o cruise testSuite/mono/fileName &>> __autograding/Cruise_Phase_Detection/output",
"run": "diff -qs -iBbd --strip-trailing-cr __autograding/Cruise_Phase_Detection/expected __autograding/Cruise_Phase_Detection/output ;\ncat __autograding/Cruise_Phase_Detection/output >> __autograding/result.txt\ndiff -qs -iBbd --strip-trailing-cr __autograding/Cruise_Phase_Detection/expected __autograding/Cruise_Phase_Detection/output &>> __autograding/result.txt",
"input": "",
"output": "identical",
"comparison": "included",
"timeout": 10,
"points": 1
},
{
"name": "Landing Phase Detection",
"setup": "mkdir -p __autograding/Landing_Phase_Detection ; ls testSuite/mono | xargs -I fileName java -jar target/referencePandora.jar -o landing testSuite/mono/fileName &>> __autograding/Landing_Phase_Detection/expected ; ls testSuite/mono | xargs -I fileName java -jar target/pandora.jar -o landing testSuite/mono/fileName &>> __autograding/Landing_Phase_Detection/output",
"run": "diff -qs -iBbd --strip-trailing-cr __autograding/Landing_Phase_Detection/expected __autograding/Landing_Phase_Detection/output ;\ncat __autograding/Landing_Phase_Detection/output >> __autograding/result.txt\ndiff -qs -iBbd --strip-trailing-cr __autograding/Landing_Phase_Detection/expected __autograding/Landing_Phase_Detection/output &>> __autograding/result.txt",
"input": "",
"output": "identical",
"comparison": "included",
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{
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"setup": "mkdir -p __autograding/Ratio_Distance ; ls testSuite/mono | xargs -I fileName java -jar target/referencePandora.jar -o ratioDistance testSuite/mono/fileName &>> __autograding/Ratio_Distance/expected ; ls testSuite/mono | xargs -I fileName java -jar target/pandora.jar -o ratioDistance testSuite/mono/fileName &>> __autograding/Ratio_Distance/output",
"run": "diff -qs -iBbd --strip-trailing-cr __autograding/Ratio_Distance/expected __autograding/Ratio_Distance/output ;\ncat __autograding/Ratio_Distance/output >> __autograding/result.txt\ndiff -qs -iBbd --strip-trailing-cr __autograding/Ratio_Distance/expected __autograding/Ratio_Distance/output &>> __autograding/result.txt",
"input": "",
"output": "identical",
"comparison": "included",
"timeout": 10,
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{
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"setup": "mkdir -p __autograding/Average_Air_Speed__Take_Off_ ; ls testSuite/mono | xargs -I fileName java -jar target/referencePandora.jar -o avgAirSpeedTakeOff testSuite/mono/fileName &>> __autograding/Average_Air_Speed__Take_Off_/expected ; ls testSuite/mono | xargs -I fileName java -jar target/pandora.jar -o avgAirSpeedTakeOff testSuite/mono/fileName &>> __autograding/Average_Air_Speed__Take_Off_/output",
"run": "diff -qs -iBbd --strip-trailing-cr __autograding/Average_Air_Speed__Take_Off_/expected __autograding/Average_Air_Speed__Take_Off_/output ;\ncat __autograding/Average_Air_Speed__Take_Off_/output >> __autograding/result.txt\ndiff -qs -iBbd --strip-trailing-cr __autograding/Average_Air_Speed__Take_Off_/expected __autograding/Average_Air_Speed__Take_Off_/output &>> __autograding/result.txt",
"input": "",
"output": "identical",
"comparison": "included",
"timeout": 10,
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{
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"setup": "mkdir -p __autograding/Max_Air_Speed__Take_Off_ ; ls testSuite/mono | xargs -I fileName java -jar target/referencePandora.jar -o maxAirSpeedTakeOff testSuite/mono/fileName &>> __autograding/Max_Air_Speed__Take_Off_/expected ; ls testSuite/mono | xargs -I fileName java -jar target/pandora.jar -o maxAirSpeedTakeOff testSuite/mono/fileName &>> __autograding/Max_Air_Speed__Take_Off_/output",
"run": "diff -qs -iBbd --strip-trailing-cr __autograding/Max_Air_Speed__Take_Off_/expected __autograding/Max_Air_Speed__Take_Off_/output ;\ncat __autograding/Max_Air_Speed__Take_Off_/output >> __autograding/result.txt\ndiff -qs -iBbd --strip-trailing-cr __autograding/Max_Air_Speed__Take_Off_/expected __autograding/Max_Air_Speed__Take_Off_/output &>> __autograding/result.txt",
"input": "",
"output": "identical",
"comparison": "included",
"timeout": 10,
"points": 1
},
{
"name": "Average Engine Power _Take Off_",
"setup": "mkdir -p __autograding/Average_Engine_Power__Take_Off_ ; ls testSuite/mono | xargs -I fileName java -jar target/referencePandora.jar -o avgEnginePowerTakeOff testSuite/mono/fileName &>> __autograding/Average_Engine_Power__Take_Off_/expected ; ls testSuite/mono | xargs -I fileName java -jar target/pandora.jar -o avgEnginePowerTakeOff testSuite/mono/fileName &>> __autograding/Average_Engine_Power__Take_Off_/output",
"run": "diff -qs -iBbd --strip-trailing-cr __autograding/Average_Engine_Power__Take_Off_/expected __autograding/Average_Engine_Power__Take_Off_/output ;\ncat __autograding/Average_Engine_Power__Take_Off_/output >> __autograding/result.txt\ndiff -qs -iBbd --strip-trailing-cr __autograding/Average_Engine_Power__Take_Off_/expected __autograding/Average_Engine_Power__Take_Off_/output &>> __autograding/result.txt",
"input": "",
"output": "identical",
"comparison": "included",
"timeout": 10,
"points": 1
},
{
"name": "Max Engine Power _Take Off_",
"setup": "mkdir -p __autograding/Max_Engine_Power__Take_Off_ ; ls testSuite/mono | xargs -I fileName java -jar target/referencePandora.jar -o maxEnginePowerTakeOff testSuite/mono/fileName &>> __autograding/Max_Engine_Power__Take_Off_/expected ; ls testSuite/mono | xargs -I fileName java -jar target/pandora.jar -o maxEnginePowerTakeOff testSuite/mono/fileName &>> __autograding/Max_Engine_Power__Take_Off_/output",
"run": "diff -qs -iBbd --strip-trailing-cr __autograding/Max_Engine_Power__Take_Off_/expected __autograding/Max_Engine_Power__Take_Off_/output ;\ncat __autograding/Max_Engine_Power__Take_Off_/output >> __autograding/result.txt\ndiff -qs -iBbd --strip-trailing-cr __autograding/Max_Engine_Power__Take_Off_/expected __autograding/Max_Engine_Power__Take_Off_/output &>> __autograding/result.txt",
"input": "",
"output": "identical",
"comparison": "included",
"timeout": 10,
"points": 1
},
{
"name": "Average Air Speed _Cruise_",
"setup": "mkdir -p __autograding/Average_Air_Speed__Cruise_ ; ls testSuite/mono | xargs -I fileName java -jar target/referencePandora.jar -o avgAirSpeedCruise testSuite/mono/fileName &>> __autograding/Average_Air_Speed__Cruise_/expected ; ls testSuite/mono | xargs -I fileName java -jar target/pandora.jar -o avgAirSpeedCruise testSuite/mono/fileName &>> __autograding/Average_Air_Speed__Cruise_/output",
"run": "diff -qs -iBbd --strip-trailing-cr __autograding/Average_Air_Speed__Cruise_/expected __autograding/Average_Air_Speed__Cruise_/output ;\ncat __autograding/Average_Air_Speed__Cruise_/output >> __autograding/result.txt\ndiff -qs -iBbd --strip-trailing-cr __autograding/Average_Air_Speed__Cruise_/expected __autograding/Average_Air_Speed__Cruise_/output &>> __autograding/result.txt",
"input": "",
"output": "identical",
"comparison": "included",
"timeout": 10,
"points": 1
},
{
"name": "Max Air Speed _Cruise_",
"setup": "mkdir -p __autograding/Max_Air_Speed__Cruise_ ; ls testSuite/mono | xargs -I fileName java -jar target/referencePandora.jar -o maxAirSpeedCruise testSuite/mono/fileName &>> __autograding/Max_Air_Speed__Cruise_/expected ; ls testSuite/mono | xargs -I fileName java -jar target/pandora.jar -o maxAirSpeedCruise testSuite/mono/fileName &>> __autograding/Max_Air_Speed__Cruise_/output",
"run": "diff -qs -iBbd --strip-trailing-cr __autograding/Max_Air_Speed__Cruise_/expected __autograding/Max_Air_Speed__Cruise_/output ;\ncat __autograding/Max_Air_Speed__Cruise_/output >> __autograding/result.txt\ndiff -qs -iBbd --strip-trailing-cr __autograding/Max_Air_Speed__Cruise_/expected __autograding/Max_Air_Speed__Cruise_/output &>> __autograding/result.txt",
"input": "",
"output": "identical",
"comparison": "included",
"timeout": 10,
"points": 1
},
{
"name": "Average Engine Power _Cruise_",
"setup": "mkdir -p __autograding/Average_Engine_Power__Cruise_ ; ls testSuite/mono | xargs -I fileName java -jar target/referencePandora.jar -o avgEnginePowerCruise testSuite/mono/fileName &>> __autograding/Average_Engine_Power__Cruise_/expected ; ls testSuite/mono | xargs -I fileName java -jar target/pandora.jar -o avgEnginePowerCruise testSuite/mono/fileName &>> __autograding/Average_Engine_Power__Cruise_/output",
"run": "diff -qs -iBbd --strip-trailing-cr __autograding/Average_Engine_Power__Cruise_/expected __autograding/Average_Engine_Power__Cruise_/output ;\ncat __autograding/Average_Engine_Power__Cruise_/output >> __autograding/result.txt\ndiff -qs -iBbd --strip-trailing-cr __autograding/Average_Engine_Power__Cruise_/expected __autograding/Average_Engine_Power__Cruise_/output &>> __autograding/result.txt",
"input": "",
"output": "identical",
"comparison": "included",
"timeout": 10,
"points": 1
},
{
"name": "Max Engine Power _Cruise_",
"setup": "mkdir -p __autograding/Max_Engine_Power__Cruise_ ; ls testSuite/mono | xargs -I fileName java -jar target/referencePandora.jar -o maxEnginePowerCruise testSuite/mono/fileName &>> __autograding/Max_Engine_Power__Cruise_/expected ; ls testSuite/mono | xargs -I fileName java -jar target/pandora.jar -o maxEnginePowerCruise testSuite/mono/fileName &>> __autograding/Max_Engine_Power__Cruise_/output",
"run": "diff -qs -iBbd --strip-trailing-cr __autograding/Max_Engine_Power__Cruise_/expected __autograding/Max_Engine_Power__Cruise_/output ;\ncat __autograding/Max_Engine_Power__Cruise_/output >> __autograding/result.txt\ndiff -qs -iBbd --strip-trailing-cr __autograding/Max_Engine_Power__Cruise_/expected __autograding/Max_Engine_Power__Cruise_/output &>> __autograding/result.txt",
"input": "",
"output": "identical",
"comparison": "included",
"timeout": 10,
"points": 1
},
{
"name": "Average Air Speed _Landing_",
"setup": "mkdir -p __autograding/Average_Air_Speed__Landing_ ; ls testSuite/mono | xargs -I fileName java -jar target/referencePandora.jar -o avgAirSpeedLanding testSuite/mono/fileName &>> __autograding/Average_Air_Speed__Landing_/expected ; ls testSuite/mono | xargs -I fileName java -jar target/pandora.jar -o avgAirSpeedLanding testSuite/mono/fileName &>> __autograding/Average_Air_Speed__Landing_/output",
"run": "diff -qs -iBbd --strip-trailing-cr __autograding/Average_Air_Speed__Landing_/expected __autograding/Average_Air_Speed__Landing_/output ;\ncat __autograding/Average_Air_Speed__Landing_/output >> __autograding/result.txt\ndiff -qs -iBbd --strip-trailing-cr __autograding/Average_Air_Speed__Landing_/expected __autograding/Average_Air_Speed__Landing_/output &>> __autograding/result.txt",
"input": "",
"output": "identical",
"comparison": "included",
"timeout": 10,
"points": 1
},
{
"name": "Max Air Speed _Landing_",
"setup": "mkdir -p __autograding/Max_Air_Speed__Landing_ ; ls testSuite/mono | xargs -I fileName java -jar target/referencePandora.jar -o maxAirSpeedLanding testSuite/mono/fileName &>> __autograding/Max_Air_Speed__Landing_/expected ; ls testSuite/mono | xargs -I fileName java -jar target/pandora.jar -o maxAirSpeedLanding testSuite/mono/fileName &>> __autograding/Max_Air_Speed__Landing_/output",
"run": "diff -qs -iBbd --strip-trailing-cr __autograding/Max_Air_Speed__Landing_/expected __autograding/Max_Air_Speed__Landing_/output ;\ncat __autograding/Max_Air_Speed__Landing_/output >> __autograding/result.txt\ndiff -qs -iBbd --strip-trailing-cr __autograding/Max_Air_Speed__Landing_/expected __autograding/Max_Air_Speed__Landing_/output &>> __autograding/result.txt",
"input": "",
"output": "identical",
"comparison": "included",
"timeout": 10,
"points": 1
},
{
"name": "Average Engine Power _Landing_",
"setup": "mkdir -p __autograding/Average_Engine_Power__Landing_ ; ls testSuite/mono | xargs -I fileName java -jar target/referencePandora.jar -o avgEnginePowerLanding testSuite/mono/fileName &>> __autograding/Average_Engine_Power__Landing_/expected ; ls testSuite/mono | xargs -I fileName java -jar target/pandora.jar -o avgEnginePowerLanding testSuite/mono/fileName &>> __autograding/Average_Engine_Power__Landing_/output",
"run": "diff -qs -iBbd --strip-trailing-cr __autograding/Average_Engine_Power__Landing_/expected __autograding/Average_Engine_Power__Landing_/output ;\ncat __autograding/Average_Engine_Power__Landing_/output >> __autograding/result.txt\ndiff -qs -iBbd --strip-trailing-cr __autograding/Average_Engine_Power__Landing_/expected __autograding/Average_Engine_Power__Landing_/output &>> __autograding/result.txt",
"input": "",
"output": "identical",
"comparison": "included",
"timeout": 10,
"points": 1
},
{
"name": "Max Engine Power _Landing_",
"setup": "mkdir -p __autograding/Max_Engine_Power__Landing_ ; ls testSuite/mono | xargs -I fileName java -jar target/referencePandora.jar -o maxEnginePowerLanding testSuite/mono/fileName &>> __autograding/Max_Engine_Power__Landing_/expected ; ls testSuite/mono | xargs -I fileName java -jar target/pandora.jar -o maxEnginePowerLanding testSuite/mono/fileName &>> __autograding/Max_Engine_Power__Landing_/output",
"run": "diff -qs -iBbd --strip-trailing-cr __autograding/Max_Engine_Power__Landing_/expected __autograding/Max_Engine_Power__Landing_/output ;\ncat __autograding/Max_Engine_Power__Landing_/output >> __autograding/result.txt\ndiff -qs -iBbd --strip-trailing-cr __autograding/Max_Engine_Power__Landing_/expected __autograding/Max_Engine_Power__Landing_/output &>> __autograding/result.txt",
"input": "",
"output": "identical",
"comparison": "included",
"timeout": 10,
"points": 1
},
{
"name": "Flight Distance _Take Off_",
"setup": "mkdir -p __autograding/Flight_Distance__Take_Off_ ; ls testSuite/mono | xargs -I fileName java -jar target/referencePandora.jar -o flightDistanceTakeOff testSuite/mono/fileName &>> __autograding/Flight_Distance__Take_Off_/expected ; ls testSuite/mono | xargs -I fileName java -jar target/pandora.jar -o flightDistanceTakeOff testSuite/mono/fileName &>> __autograding/Flight_Distance__Take_Off_/output",
"run": "diff -qs -iBbd --strip-trailing-cr __autograding/Flight_Distance__Take_Off_/expected __autograding/Flight_Distance__Take_Off_/output ;\ncat __autograding/Flight_Distance__Take_Off_/output >> __autograding/result.txt\ndiff -qs -iBbd --strip-trailing-cr __autograding/Flight_Distance__Take_Off_/expected __autograding/Flight_Distance__Take_Off_/output &>> __autograding/result.txt",
"input": "",
"output": "identical",
"comparison": "included",
"timeout": 10,
"points": 1
},
{
"name": "Average Acceleration _Take Off_",
"setup": "mkdir -p __autograding/Average_Acceleration__Take_Off_ ; ls testSuite/mono | xargs -I fileName java -jar target/referencePandora.jar -o avgAccelerationTakeOff testSuite/mono/fileName &>> __autograding/Average_Acceleration__Take_Off_/expected ; ls testSuite/mono | xargs -I fileName java -jar target/pandora.jar -o avgAccelerationTakeOff testSuite/mono/fileName &>> __autograding/Average_Acceleration__Take_Off_/output",
"run": "diff -qs -iBbd --strip-trailing-cr __autograding/Average_Acceleration__Take_Off_/expected __autograding/Average_Acceleration__Take_Off_/output ;\ncat __autograding/Average_Acceleration__Take_Off_/output >> __autograding/result.txt\ndiff -qs -iBbd --strip-trailing-cr __autograding/Average_Acceleration__Take_Off_/expected __autograding/Average_Acceleration__Take_Off_/output &>> __autograding/result.txt",
"input": "",
"output": "identical",
"comparison": "included",
"timeout": 10,
"points": 1
},
{
"name": "Max Acceleration _Take Off_",
"setup": "mkdir -p __autograding/Max_Acceleration__Take_Off_ ; ls testSuite/mono | xargs -I fileName java -jar target/referencePandora.jar -o maxAccelerationTakeOff testSuite/mono/fileName &>> __autograding/Max_Acceleration__Take_Off_/expected ; ls testSuite/mono | xargs -I fileName java -jar target/pandora.jar -o maxAccelerationTakeOff testSuite/mono/fileName &>> __autograding/Max_Acceleration__Take_Off_/output",
"run": "diff -qs -iBbd --strip-trailing-cr __autograding/Max_Acceleration__Take_Off_/expected __autograding/Max_Acceleration__Take_Off_/output ;\ncat __autograding/Max_Acceleration__Take_Off_/output >> __autograding/result.txt\ndiff -qs -iBbd --strip-trailing-cr __autograding/Max_Acceleration__Take_Off_/expected __autograding/Max_Acceleration__Take_Off_/output &>> __autograding/result.txt",
"input": "",
"output": "identical",
"comparison": "included",
"timeout": 10,
"points": 1
},
{
"name": "Wind Speed _Take Off_",
"setup": "mkdir -p __autograding/Wind_Speed__Take_Off_ ; ls testSuite/mono | xargs -I fileName java -jar target/referencePandora.jar -o windSpeedTakeOff testSuite/mono/fileName &>> __autograding/Wind_Speed__Take_Off_/expected ; ls testSuite/mono | xargs -I fileName java -jar target/pandora.jar -o windSpeedTakeOff testSuite/mono/fileName &>> __autograding/Wind_Speed__Take_Off_/output",
"run": "diff -qs -iBbd --strip-trailing-cr __autograding/Wind_Speed__Take_Off_/expected __autograding/Wind_Speed__Take_Off_/output ;\ncat __autograding/Wind_Speed__Take_Off_/output >> __autograding/result.txt\ndiff -qs -iBbd --strip-trailing-cr __autograding/Wind_Speed__Take_Off_/expected __autograding/Wind_Speed__Take_Off_/output &>> __autograding/result.txt",
"input": "",
"output": "identical",
"comparison": "included",
"timeout": 10,
"points": 1
},
{
"name": "Flight Distance _Cruise_",
"setup": "mkdir -p __autograding/Flight_Distance__Cruise_ ; ls testSuite/mono | xargs -I fileName java -jar target/referencePandora.jar -o flightDistanceCruise testSuite/mono/fileName &>> __autograding/Flight_Distance__Cruise_/expected ; ls testSuite/mono | xargs -I fileName java -jar target/pandora.jar -o flightDistanceCruise testSuite/mono/fileName &>> __autograding/Flight_Distance__Cruise_/output",
"run": "diff -qs -iBbd --strip-trailing-cr __autograding/Flight_Distance__Cruise_/expected __autograding/Flight_Distance__Cruise_/output ;\ncat __autograding/Flight_Distance__Cruise_/output >> __autograding/result.txt\ndiff -qs -iBbd --strip-trailing-cr __autograding/Flight_Distance__Cruise_/expected __autograding/Flight_Distance__Cruise_/output &>> __autograding/result.txt",
"input": "",
"output": "identical",
"comparison": "included",
"timeout": 10,
"points": 1
},
{
"name": "Average Acceleration _Cruise_",
"setup": "mkdir -p __autograding/Average_Acceleration__Cruise_ ; ls testSuite/mono | xargs -I fileName java -jar target/referencePandora.jar -o avgAccelerationCruise testSuite/mono/fileName &>> __autograding/Average_Acceleration__Cruise_/expected ; ls testSuite/mono | xargs -I fileName java -jar target/pandora.jar -o avgAccelerationCruise testSuite/mono/fileName &>> __autograding/Average_Acceleration__Cruise_/output",
"run": "diff -qs -iBbd --strip-trailing-cr __autograding/Average_Acceleration__Cruise_/expected __autograding/Average_Acceleration__Cruise_/output ;\ncat __autograding/Average_Acceleration__Cruise_/output >> __autograding/result.txt\ndiff -qs -iBbd --strip-trailing-cr __autograding/Average_Acceleration__Cruise_/expected __autograding/Average_Acceleration__Cruise_/output &>> __autograding/result.txt",
"input": "",
"output": "identical",
"comparison": "included",
"timeout": 10,
"points": 1
},
{
"name": "Max Acceleration _Cruise_",
"setup": "mkdir -p __autograding/Max_Acceleration__Cruise_ ; ls testSuite/mono | xargs -I fileName java -jar target/referencePandora.jar -o maxAccelerationCruise testSuite/mono/fileName &>> __autograding/Max_Acceleration__Cruise_/expected ; ls testSuite/mono | xargs -I fileName java -jar target/pandora.jar -o maxAccelerationCruise testSuite/mono/fileName &>> __autograding/Max_Acceleration__Cruise_/output",
"run": "diff -qs -iBbd --strip-trailing-cr __autograding/Max_Acceleration__Cruise_/expected __autograding/Max_Acceleration__Cruise_/output ;\ncat __autograding/Max_Acceleration__Cruise_/output >> __autograding/result.txt\ndiff -qs -iBbd --strip-trailing-cr __autograding/Max_Acceleration__Cruise_/expected __autograding/Max_Acceleration__Cruise_/output &>> __autograding/result.txt",
"input": "",
"output": "identical",
"comparison": "included",
"timeout": 10,
"points": 1
},
{
"name": "Wind Speed _Cruise_",
"setup": "mkdir -p __autograding/Wind_Speed__Cruise_ ; ls testSuite/mono | xargs -I fileName java -jar target/referencePandora.jar -o windSpeedCruise testSuite/mono/fileName &>> __autograding/Wind_Speed__Cruise_/expected ; ls testSuite/mono | xargs -I fileName java -jar target/pandora.jar -o windSpeedCruise testSuite/mono/fileName &>> __autograding/Wind_Speed__Cruise_/output",
"run": "diff -qs -iBbd --strip-trailing-cr __autograding/Wind_Speed__Cruise_/expected __autograding/Wind_Speed__Cruise_/output ;\ncat __autograding/Wind_Speed__Cruise_/output >> __autograding/result.txt\ndiff -qs -iBbd --strip-trailing-cr __autograding/Wind_Speed__Cruise_/expected __autograding/Wind_Speed__Cruise_/output &>> __autograding/result.txt",
"input": "",
"output": "identical",
"comparison": "included",
"timeout": 10,
"points": 1
},
{
"name": "Flight Distance _Landing_",
"setup": "mkdir -p __autograding/Flight_Distance__Landing_ ; ls testSuite/mono | xargs -I fileName java -jar target/referencePandora.jar -o flightDistanceLanding testSuite/mono/fileName &>> __autograding/Flight_Distance__Landing_/expected ; ls testSuite/mono | xargs -I fileName java -jar target/pandora.jar -o flightDistanceLanding testSuite/mono/fileName &>> __autograding/Flight_Distance__Landing_/output",
"run": "diff -qs -iBbd --strip-trailing-cr __autograding/Flight_Distance__Landing_/expected __autograding/Flight_Distance__Landing_/output ;\ncat __autograding/Flight_Distance__Landing_/output >> __autograding/result.txt\ndiff -qs -iBbd --strip-trailing-cr __autograding/Flight_Distance__Landing_/expected __autograding/Flight_Distance__Landing_/output &>> __autograding/result.txt",
"input": "",
"output": "identical",
"comparison": "included",
"timeout": 10,
"points": 1
},
{
"name": "Average Acceleration _Landing_",
"setup": "mkdir -p __autograding/Average_Acceleration__Landing_ ; ls testSuite/mono | xargs -I fileName java -jar target/referencePandora.jar -o avgAccelerationLanding testSuite/mono/fileName &>> __autograding/Average_Acceleration__Landing_/expected ; ls testSuite/mono | xargs -I fileName java -jar target/pandora.jar -o avgAccelerationLanding testSuite/mono/fileName &>> __autograding/Average_Acceleration__Landing_/output",
"run": "diff -qs -iBbd --strip-trailing-cr __autograding/Average_Acceleration__Landing_/expected __autograding/Average_Acceleration__Landing_/output ;\ncat __autograding/Average_Acceleration__Landing_/output >> __autograding/result.txt\ndiff -qs -iBbd --strip-trailing-cr __autograding/Average_Acceleration__Landing_/expected __autograding/Average_Acceleration__Landing_/output &>> __autograding/result.txt",
"input": "",
"output": "identical",
"comparison": "included",
"timeout": 10,
"points": 1
},
{
"name": "Max Acceleration _Landing_",
"setup": "mkdir -p __autograding/Max_Acceleration__Landing_ ; ls testSuite/mono | xargs -I fileName java -jar target/referencePandora.jar -o maxAccelerationLanding testSuite/mono/fileName &>> __autograding/Max_Acceleration__Landing_/expected ; ls testSuite/mono | xargs -I fileName java -jar target/pandora.jar -o maxAccelerationLanding testSuite/mono/fileName &>> __autograding/Max_Acceleration__Landing_/output",
"run": "diff -qs -iBbd --strip-trailing-cr __autograding/Max_Acceleration__Landing_/expected __autograding/Max_Acceleration__Landing_/output ;\ncat __autograding/Max_Acceleration__Landing_/output >> __autograding/result.txt\ndiff -qs -iBbd --strip-trailing-cr __autograding/Max_Acceleration__Landing_/expected __autograding/Max_Acceleration__Landing_/output &>> __autograding/result.txt",
"input": "",
"output": "identical",
"comparison": "included",
"timeout": 10,
"points": 1
},
{
"name": "Wind Speed _Landing_",
"setup": "mkdir -p __autograding/Wind_Speed__Landing_ ; ls testSuite/mono | xargs -I fileName java -jar target/referencePandora.jar -o windSpeedLanding testSuite/mono/fileName &>> __autograding/Wind_Speed__Landing_/expected ; ls testSuite/mono | xargs -I fileName java -jar target/pandora.jar -o windSpeedLanding testSuite/mono/fileName &>> __autograding/Wind_Speed__Landing_/output",
"run": "diff -qs -iBbd --strip-trailing-cr __autograding/Wind_Speed__Landing_/expected __autograding/Wind_Speed__Landing_/output ;\ncat __autograding/Wind_Speed__Landing_/output >> __autograding/result.txt\ndiff -qs -iBbd --strip-trailing-cr __autograding/Wind_Speed__Landing_/expected __autograding/Wind_Speed__Landing_/output &>> __autograding/result.txt",
"input": "",
"output": "identical",
"comparison": "included",
"timeout": 10,
"points": 1
},
{
"name": "Most Demanding Phase - Engine Power",
"setup": "mkdir -p __autograding/Most_Demanding_Phase_-_Engine_Power ; ls testSuite/mono | xargs -I fileName java -jar target/referencePandora.jar -o mostPowerPhase testSuite/mono/fileName &>> __autograding/Most_Demanding_Phase_-_Engine_Power/expected ; ls testSuite/mono | xargs -I fileName java -jar target/pandora.jar -o mostPowerPhase testSuite/mono/fileName &>> __autograding/Most_Demanding_Phase_-_Engine_Power/output",
"run": "diff -qs -iBbd --strip-trailing-cr __autograding/Most_Demanding_Phase_-_Engine_Power/expected __autograding/Most_Demanding_Phase_-_Engine_Power/output ;\ncat __autograding/Most_Demanding_Phase_-_Engine_Power/output >> __autograding/result.txt\ndiff -qs -iBbd --strip-trailing-cr __autograding/Most_Demanding_Phase_-_Engine_Power/expected __autograding/Most_Demanding_Phase_-_Engine_Power/output &>> __autograding/result.txt",
"input": "",
"output": "identical",
"comparison": "included",
"timeout": 10,
"points": 1
},
{
"name": "Most Demanding Phase - Stress",
"setup": "mkdir -p __autograding/Most_Demanding_Phase_-_Stress ; ls testSuite/mono | xargs -I fileName java -jar target/referencePandora.jar -o mostStressPhase testSuite/mono/fileName &>> __autograding/Most_Demanding_Phase_-_Stress/expected ; ls testSuite/mono | xargs -I fileName java -jar target/pandora.jar -o mostStressPhase testSuite/mono/fileName &>> __autograding/Most_Demanding_Phase_-_Stress/output",
"run": "diff -qs -iBbd --strip-trailing-cr __autograding/Most_Demanding_Phase_-_Stress/expected __autograding/Most_Demanding_Phase_-_Stress/output ;\ncat __autograding/Most_Demanding_Phase_-_Stress/output >> __autograding/result.txt\ndiff -qs -iBbd --strip-trailing-cr __autograding/Most_Demanding_Phase_-_Stress/expected __autograding/Most_Demanding_Phase_-_Stress/output &>> __autograding/result.txt",
"input": "",
"output": "identical",
"comparison": "included",
"timeout": 10,
"points": 1
},
{
"name": "Most Demanding Phase - Horizontal Acceleration",
"setup": "mkdir -p __autograding/Most_Demanding_Phase_-_Horizontal_Acceleration ; ls testSuite/mono | xargs -I fileName java -jar target/referencePandora.jar -o mostAccelPhase testSuite/mono/fileName &>> __autograding/Most_Demanding_Phase_-_Horizontal_Acceleration/expected ; ls testSuite/mono | xargs -I fileName java -jar target/pandora.jar -o mostAccelPhase testSuite/mono/fileName &>> __autograding/Most_Demanding_Phase_-_Horizontal_Acceleration/output",
"run": "diff -qs -iBbd --strip-trailing-cr __autograding/Most_Demanding_Phase_-_Horizontal_Acceleration/expected __autograding/Most_Demanding_Phase_-_Horizontal_Acceleration/output ;\ncat __autograding/Most_Demanding_Phase_-_Horizontal_Acceleration/output >> __autograding/result.txt\ndiff -qs -iBbd --strip-trailing-cr __autograding/Most_Demanding_Phase_-_Horizontal_Acceleration/expected __autograding/Most_Demanding_Phase_-_Horizontal_Acceleration/output &>> __autograding/result.txt",
"input": "",
"output": "identical",
"comparison": "included",
"timeout": 10,
"points": 1
},
{
"name": "Reaching 80% Max Altitude",
"setup": "mkdir -p __autograding/Reaching_80%_Max_Altitude ; ls testSuite/mono | xargs -I fileName java -jar target/referencePandora.jar -o reachAlt testSuite/mono/fileName &>> __autograding/Reaching_80%_Max_Altitude/expected ; ls testSuite/mono | xargs -I fileName java -jar target/pandora.jar -o reachAlt testSuite/mono/fileName &>> __autograding/Reaching_80%_Max_Altitude/output",
"run": "diff -qs -iBbd --strip-trailing-cr __autograding/Reaching_80%_Max_Altitude/expected __autograding/Reaching_80%_Max_Altitude/output ;\ncat __autograding/Reaching_80%_Max_Altitude/output >> __autograding/result.txt\ndiff -qs -iBbd --strip-trailing-cr __autograding/Reaching_80%_Max_Altitude/expected __autograding/Reaching_80%_Max_Altitude/output &>> __autograding/result.txt",
"input": "",
"output": "identical",
"comparison": "included",
"timeout": 10,
"points": 1
},
{
"name": "Reaching 80% Total Distance",
"setup": "mkdir -p __autograding/Reaching_80%_Total_Distance ; ls testSuite/mono | xargs -I fileName java -jar target/referencePandora.jar -o reachDist testSuite/mono/fileName &>> __autograding/Reaching_80%_Total_Distance/expected ; ls testSuite/mono | xargs -I fileName java -jar target/pandora.jar -o reachDist testSuite/mono/fileName &>> __autograding/Reaching_80%_Total_Distance/output",
"run": "diff -qs -iBbd --strip-trailing-cr __autograding/Reaching_80%_Total_Distance/expected __autograding/Reaching_80%_Total_Distance/output ;\ncat __autograding/Reaching_80%_Total_Distance/output >> __autograding/result.txt\ndiff -qs -iBbd --strip-trailing-cr __autograding/Reaching_80%_Total_Distance/expected __autograding/Reaching_80%_Total_Distance/output &>> __autograding/result.txt",
"input": "",
"output": "identical",
"comparison": "included",
"timeout": 10,
"points": 1
},
{
"name": "Altitude with Fastest Wind",
"setup": "mkdir -p __autograding/Altitude_with_Fastest_Wind ; ls testSuite/mono | xargs -I fileName java -jar target/referencePandora.jar -o fastWindAlt testSuite/mono/fileName &>> __autograding/Altitude_with_Fastest_Wind/expected ; ls testSuite/mono | xargs -I fileName java -jar target/pandora.jar -o fastWindAlt testSuite/mono/fileName &>> __autograding/Altitude_with_Fastest_Wind/output",
"run": "diff -qs -iBbd --strip-trailing-cr __autograding/Altitude_with_Fastest_Wind/expected __autograding/Altitude_with_Fastest_Wind/output ;\ncat __autograding/Altitude_with_Fastest_Wind/output >> __autograding/result.txt\ndiff -qs -iBbd --strip-trailing-cr __autograding/Altitude_with_Fastest_Wind/expected __autograding/Altitude_with_Fastest_Wind/output &>> __autograding/result.txt",
"input": "",
"output": "identical",
"comparison": "included",
"timeout": 10,
"points": 1
},
{
"name": "Altitude with Highest Aircraft Speed",
"setup": "mkdir -p __autograding/Altitude_with_Highest_Aircraft_Speed ; ls testSuite/mono | xargs -I fileName java -jar target/referencePandora.jar -o fastJetAlt testSuite/mono/fileName &>> __autograding/Altitude_with_Highest_Aircraft_Speed/expected ; ls testSuite/mono | xargs -I fileName java -jar target/pandora.jar -o fastJetAlt testSuite/mono/fileName &>> __autograding/Altitude_with_Highest_Aircraft_Speed/output",
"run": "diff -qs -iBbd --strip-trailing-cr __autograding/Altitude_with_Highest_Aircraft_Speed/expected __autograding/Altitude_with_Highest_Aircraft_Speed/output ;\ncat __autograding/Altitude_with_Highest_Aircraft_Speed/output >> __autograding/result.txt\ndiff -qs -iBbd --strip-trailing-cr __autograding/Altitude_with_Highest_Aircraft_Speed/expected __autograding/Altitude_with_Highest_Aircraft_Speed/output &>> __autograding/result.txt",
"input": "",
"output": "identical",
"comparison": "included",
"timeout": 10,
"points": 1
},
{
"name": "Noise of Temperature Sensors",
"setup": "mkdir -p __autograding/Noise_of_Temperature_Sensors ; ls testSuite/mono | xargs -I fileName java -jar target/referencePandora.jar -o noiseTemp testSuite/mono/fileName &>> __autograding/Noise_of_Temperature_Sensors/expected ; ls testSuite/mono | xargs -I fileName java -jar target/pandora.jar -o noiseTemp testSuite/mono/fileName &>> __autograding/Noise_of_Temperature_Sensors/output",
"run": "diff -qs -iBbd --strip-trailing-cr __autograding/Noise_of_Temperature_Sensors/expected __autograding/Noise_of_Temperature_Sensors/output ;\ncat __autograding/Noise_of_Temperature_Sensors/output >> __autograding/result.txt\ndiff -qs -iBbd --strip-trailing-cr __autograding/Noise_of_Temperature_Sensors/expected __autograding/Noise_of_Temperature_Sensors/output &>> __autograding/result.txt",
"input": "",
"output": "identical",
"comparison": "included",
"timeout": 10,
"points": 1
},
{
"name": "Stressed Pilot",
"setup": "mkdir -p __autograding/Stressed_Pilot ; ls testSuite/mono | xargs -I fileName java -jar target/referencePandora.jar -o stressedPilot testSuite/mono/fileName &>> __autograding/Stressed_Pilot/expected ; ls testSuite/mono | xargs -I fileName java -jar target/pandora.jar -o stressedPilot testSuite/mono/fileName &>> __autograding/Stressed_Pilot/output",
"run": "diff -qs -iBbd --strip-trailing-cr __autograding/Stressed_Pilot/expected __autograding/Stressed_Pilot/output ;\ncat __autograding/Stressed_Pilot/output >> __autograding/result.txt\ndiff -qs -iBbd --strip-trailing-cr __autograding/Stressed_Pilot/expected __autograding/Stressed_Pilot/output &>> __autograding/result.txt",
"input": "",
"output": "identical",
"comparison": "included",
"timeout": 10,
"points": 1
},
{
"name": "50% Oxygen Phase",
"setup": "mkdir -p __autograding/50%_Oxygen_Phase ; ls testSuite/mono | xargs -I fileName java -jar target/referencePandora.jar -o oxygenPhase testSuite/mono/fileName &>> __autograding/50%_Oxygen_Phase/expected ; ls testSuite/mono | xargs -I fileName java -jar target/pandora.jar -o oxygenPhase testSuite/mono/fileName &>> __autograding/50%_Oxygen_Phase/output",
"run": "diff -qs -iBbd --strip-trailing-cr __autograding/50%_Oxygen_Phase/expected __autograding/50%_Oxygen_Phase/output ;\ncat __autograding/50%_Oxygen_Phase/output >> __autograding/result.txt\ndiff -qs -iBbd --strip-trailing-cr __autograding/50%_Oxygen_Phase/expected __autograding/50%_Oxygen_Phase/output &>> __autograding/result.txt",
"input": "",
"output": "identical",
"comparison": "included",
"timeout": 10,
"points": 1
},
{
"name": "Milestone 3 Full Report",
"setup": "mkdir -p __autograding/Milestone_3_Full_Report ; ls testSuite/mono | xargs -I fileName java -jar target/referencePandora.jar testSuite/mono/fileName &>> __autograding/Milestone_3_Full_Report/expected ; ls testSuite/mono | xargs -I fileName java -jar target/pandora.jar testSuite/mono/fileName &>> __autograding/Milestone_3_Full_Report/output",
"run": "diff -qs -iBbd --strip-trailing-cr __autograding/Milestone_3_Full_Report/expected __autograding/Milestone_3_Full_Report/output ;\ncat __autograding/Milestone_3_Full_Report/output >> __autograding/result.txt\ndiff -qs -iBbd --strip-trailing-cr __autograding/Milestone_3_Full_Report/expected __autograding/Milestone_3_Full_Report/output &>> __autograding/result.txt",
"input": "",
"output": "identical",
"comparison": "included",
"timeout": 10,
"points": 1
}
]
} |
["77c4edf1ab91ed25b1a31fa29a2e1f617e4a577a"] |
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Hall","station_id":58,"time":"2014-09-22 08:00:00"},{"index":6,"Actual_Count":1,"COR":0.16,"Predicted_Count":1.5824167344,"RMSLE":0.253879292,"name":"San Francisco City Hall","station_id":58,"time":"2014-09-22 09:00:00"},{"index":7,"Actual_Count":1,"COR":0.16,"Predicted_Count":1.4823715458,"RMSLE":0.253879292,"name":"San Francisco City Hall","station_id":58,"time":"2014-09-22 10:00:00"},{"index":8,"Actual_Count":1,"COR":0.16,"Predicted_Count":1.5952346123,"RMSLE":0.253879292,"name":"San Francisco City Hall","station_id":58,"time":"2014-09-22 12:00:00"},{"index":9,"Actual_Count":1,"COR":0.16,"Predicted_Count":1.4603659853,"RMSLE":0.253879292,"name":"San Francisco City Hall","station_id":58,"time":"2014-09-23 09:00:00"},{"index":10,"Actual_Count":1,"COR":0.16,"Predicted_Count":1.3650491546,"RMSLE":0.253879292,"name":"San Francisco City Hall","station_id":58,"time":"2014-09-23 10:00:00"},{"index":11,"Actual_Count":3,"COR":0.16,"Predicted_Count":1.4725780619,"RMSLE":0.253879292,"name":"San Francisco City Hall","station_id":58,"time":"2014-09-23 12:00:00"},{"index":12,"Actual_Count":1,"COR":0.16,"Predicted_Count":1.1062330606,"RMSLE":0.253879292,"name":"San Francisco City Hall","station_id":58,"time":"2014-09-23 13:00:00"},{"index":13,"Actual_Count":1,"COR":0.16,"Predicted_Count":1.1687548708,"RMSLE":0.253879292,"name":"San Francisco City Hall","station_id":58,"time":"2014-09-23 17:00:00"},{"index":14,"Actual_Count":1,"COR":0.16,"Predicted_Count":1.0030348531,"RMSLE":0.253879292,"name":"San Francisco City Hall","station_id":58,"time":"2014-09-23 20:00:00"},{"index":15,"Actual_Count":1,"COR":0.16,"Predicted_Count":1.1755733936,"RMSLE":0.253879292,"name":"San Francisco City Hall","station_id":58,"time":"2014-09-24 07:00:00"},{"index":16,"Actual_Count":3,"COR":0.16,"Predicted_Count":1.733529894,"RMSLE":0.253879292,"name":"San Francisco City Hall","station_id":58,"time":"2014-09-24 08:00:00"},{"index":17,"Actual_Count":2,"COR":0.16,"Predicted_Count":1.3319286885,"RMSLE":0.253879292,"name":"San Francisco City Hall","station_id":58,"time":"2014-09-24 10:00:00"},{"index":18,"Actual_Count":1,"COR":0.16,"Predicted_Count":1.0920668124,"RMSLE":0.253879292,"name":"San Francisco City Hall","station_id":58,"time":"2014-09-24 13:00:00"},{"index":19,"Actual_Count":2,"COR":0.16,"Predicted_Count":1.2062347804,"RMSLE":0.253879292,"name":"San Francisco City Hall","station_id":58,"time":"2014-09-24 14:00:00"},{"index":20,"Actual_Count":1,"COR":0.16,"Predicted_Count":1.5949195407,"RMSLE":0.253879292,"name":"San Francisco City Hall","station_id":58,"time":"2014-09-25 08:00:00"},{"index":21,"Actual_Count":1,"COR":0.16,"Predicted_Count":1.3714722457,"RMSLE":0.253879292,"name":"San Francisco City Hall","station_id":58,"time":"2014-09-25 09:00:00"},{"index":22,"Actual_Count":1,"COR":0.16,"Predicted_Count":1.3044785785,"RMSLE":0.253879292,"name":"San Francisco City 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09:00:00"},{"index":50,"Actual_Count":1,"COR":0.16,"Predicted_Count":1.1987221182,"RMSLE":0.253879292,"name":"San Francisco City Hall","station_id":58,"time":"2014-10-21 15:00:00"},{"index":51,"Actual_Count":1,"COR":0.16,"Predicted_Count":1.4709103879,"RMSLE":0.253879292,"name":"San Francisco City Hall","station_id":58,"time":"2014-10-22 11:00:00"},{"index":52,"Actual_Count":2,"COR":0.16,"Predicted_Count":1.1958544605,"RMSLE":0.253879292,"name":"San Francisco City Hall","station_id":58,"time":"2014-10-22 14:00:00"},{"index":53,"Actual_Count":2,"COR":0.16,"Predicted_Count":1.1691594658,"RMSLE":0.253879292,"name":"San Francisco City Hall","station_id":58,"time":"2014-10-22 15:00:00"},{"index":54,"Actual_Count":1,"COR":0.16,"Predicted_Count":1.1617219501,"RMSLE":0.253879292,"name":"San Francisco City Hall","station_id":58,"time":"2014-10-22 16:00:00"},{"index":55,"Actual_Count":1,"COR":0.16,"Predicted_Count":1.0475264536,"RMSLE":0.253879292,"name":"San Francisco City Hall","station_id":58,"time":"2014-10-22 23:00:00"},{"index":56,"Actual_Count":1,"COR":0.16,"Predicted_Count":1.4857420653,"RMSLE":0.253879292,"name":"San Francisco City Hall","station_id":58,"time":"2014-10-23 11:00:00"},{"index":57,"Actual_Count":1,"COR":0.16,"Predicted_Count":1.4814410595,"RMSLE":0.253879292,"name":"San Francisco City Hall","station_id":58,"time":"2014-10-23 12:00:00"},{"index":58,"Actual_Count":2,"COR":0.16,"Predicted_Count":1.1550832724,"RMSLE":0.253879292,"name":"San Francisco City Hall","station_id":58,"time":"2014-10-23 17:00:00"},{"index":59,"Actual_Count":1,"COR":0.16,"Predicted_Count":1.1138559843,"RMSLE":0.253879292,"name":"San Francisco City Hall","station_id":58,"time":"2014-10-23 22:00:00"},{"index":60,"Actual_Count":1,"COR":0.16,"Predicted_Count":1.1701910705,"RMSLE":0.253879292,"name":"San Francisco City Hall","station_id":58,"time":"2014-10-24 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"WATCH:\n\nTrump joined his Japanese counterpart Shinzo Abe in feeding fish, emptying the whole box of food into a koi pond https://t.co/ervKCSChIN pic.twitter.com/4b3XoyLNOJ — CNN (@CNN) November 6, 2017\n\nThe full video, however, showed that Trump followed Abe’s lead and only dumped out his box of fish food after his host had done the same.",
"The study focused on “junk news,” not “fake news,” and then deliberately included conservative outlets like the Washington Examiner and Breitbart News in their definition of “fake news.” CNN and other outlets included none of those facts, portraying a misleading picture to the public.",
"WATCH:\n\nTrump Is (Not) Ignorant Of Japanese Cars\n\nIn the second false narrative that CNN spread during Trump’s Japan visit, the network took the president’s words out of context to make him appear ignorant of the fact that Japan makes cars in the United States.",
"Comey Testimony\n\nCNN ran a story on June 6 that claimed former FBI Director James Comey would use his testimony the next day to refute President Donald Trump’s claim that Comey had assured him three separate times that he was not under FBI investigation.",
"CNN Smears Scaramucci\n\nLater that month, CNN.com published, deleted, and then retracted and apologized for an article that claimed Trump adviser Anthony Scaramucci was the subject of a Senate investigation for his ties to Russian bankers.",
"As TheDC’s Alex Pfeiffer noted at the time, Trump’s full remarks — which Shane left out — clearly showed that Trump was aware of the fact that Japan makes cars in the U.S. His remark, which CNN took seriously, appeared to be a joke.",
"The botched story had four bylines, including those of three veteran journalists: anchor Jake Tapper, chief political analyst Gloria Borger and executive editor Eric Lichtblau, who had recently joined CNN from The New York Times.",
"CNN Botches Another ‘Bombshell’\n\nCNN botched another “bombshell” on Friday when it reported that Donald Trump Jr. and the Trump campaign had received advanced access to stolen emails published by WikiLeaks.",
"The opposition research firm behind the dossier, Fusion GPS, had contracted with Republican donor Paul Singer for research on candidates including Trump, but that was unrelated to the controversial dossier.",
"That story was debunked the same day when Comey’s prepared remarks were released to the public, showing that Comey would actually confirm, rather than refute, Trump’s assertion.",
"CNN zoomed in close on Trump while he and Japanese Prime Minister Shinzo Abe were feeding the fish, appearing to show the president making the embarrassing mistake.",
"WATCH:\n\n\n\nRepublican Donor Did (Not) Fund The Dossier\n\nCNN spread fake news to its viewers during a segment on the infamous anti-Trump dossier in October.",
"The network hyped the story as a bombshell for most of the day before TheDC’s Chuck Ross debunked it, revealing several serious errors with the story.",
"The first false narrative was that Trump committed a faux pas while feeding Japanese koi fish by impatiently pouring out his entire box of fish food.",
"While CNN anchor Wolf Blitzer discussed the dossier, the chyron on his show indicated that a Republican donor had initially funded the dossier.",
"CNN was one of several establishment media outlets to spread fake news about a new study on Russian influence efforts in the United States.",
"(RELATED: Wolf Blitzer Humiliates Colleague Over Quality Of Her White House Sources [VIDEO])\n\nCNN Spreads Fake News…About Fake News!",
"WATCH:\n\nFake (Fish) News\n\nDuring President Trump’s visit to Japan last month, CNN spread two false narratives about the president.",
"The news network has repeatedly made key errors when breaking big stories, only to get embarrassed when the facts come to light.",
"After an intense public backlash, three key members of CNN’s investigative team resigned over their role in the retracted story.",
"CNN cited the study, from the Oxford Internet Institute, to show that fake news targeted swing states during election week.",
"The network pulled its investigative team off the Russia story shortly afterwards.",
"CNN was forced to rewrite the piece with a correction noting the error.",
"But the study didn’t show that, as The Daily Caller first reported.",
"The video went viral and Trump was mocked on social media.",
"\n\nCNN has had a rough 2017 and it’s not even over yet.",
"Here are seven times CNN botched the news in 2017.",
"It already does,” CNN Money’s Daniel Shane wrote.",
"“Trump asks Japan to build cars in the U.S.",
"That is incorrect."
] |
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"transcripts": "Magic Bullet Express\u0099 Meal Machine\r\n\r\nThe Bullet Express\u0099 is the 8 minute meal machine. In just 8 minutes or less, your food will be ready to heat or eat. The meal maker attachment is perfect for slicing and shredding a variety of vegetables, Magic Bullet Expressfruits, meats and cheeses in just seconds. Use the meal mixer attachment for mixing, blending, chopping, mincing and ice crushing at high speeds. The juicer attachment juices all types of fruits and vegetables, while the pulp container automatically removes pulp and places it in the container. Bullet express includes motor base, meal maker attachment, meal mixer attachment, juicer attachment, juicer pulp container and cookbook. Attachments are dishwasher safe. 500 watts. One-year warranty. UL listed. Model # BER-0601.\r\n\r\nSlicing and chopping vegetables for a stir-fry can be a kitchen nightmare.\r\n\r\nWell, in less time than it takes to find a sharp knife, you can have a perfectly chopped chicken and vegetable stir-fry all prepared directly into the pan and ready to cook in just 45 seconds.\r\n\r\nWe all love apple pie. But, getting out your big, bulky processor and expensive stand mixer can be a real chore. Well now, you can slice those apples directly into the pie dish for a fresh, homemade apple pie made from scratch and oven ready in just 60 seconds.\r\n\r\nEveryone loves pizza. But, why pay for delivery or settle for frozen when you can have your favorite pizza fresh, made from scratch and oven ready in just 90 seconds?\r\n\r\nNow, from the makers of the original Magic Bullet comes the all new Bullet Express - the ultimate eight minute meal machine.\r\n\r\nThat's right! Now, you can make any full family meal ready to heat or eat in just eight minutes or less.\r\n\r\nYour Bullet Express comes with a revolutionary Meal Maker Express designed to chop, slice and shred all your favorite food whether it's vegetables, meat, or fruit. And the best part is they all go right into the pan, pot, or dish you're cooking with.\r\n\r\nSo now, you can have a fresh beef and vegetable casserole oven ready in just 45 seconds. Easily slice potatoes and onion right into the dish. Then simply pop off the top, flip the blade and now your Bullet Express is ready to shred.\r\n\r\nBullet Express features a powerful 400 watt motor tough enough for any kitchen job, but takes up no more space on your counter than a two slice toaster. And clean up is easy. Just rinse under the tap or place the parts right in the dishwasher.\r\n\r\nYour Bullet Express is built to last and backed by a full one year manufacturer's warranty.\r\n\r\nFrom the makers of the original Magic Bullet comes the all new Bullet Express - the ultimate eight minute meal machine.",
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Concepts that are deprecated but not inactive can still be used, but their use is discouraged","type":"dateTime"}],"concept":[{"code":"CDM","display":"Charge description master file","designation":[{"language":"de","use":{"system":"http://terminology.hl7.org/CodeSystem/designation-usage","code":"display"},"value":"Leistungskatalog"},{"language":"nl","use":{"system":"http://terminology.hl7.org/CodeSystem/designation-usage","code":"display"},"value":"Tariefomschrijving masterbestand"}]},{"code":"CLN","display":"Clinic master file","designation":[{"language":"de","use":{"system":"http://terminology.hl7.org/CodeSystem/designation-usage","code":"display"},"value":"Klinikkatalog"},{"language":"nl","use":{"system":"http://terminology.hl7.org/CodeSystem/designation-usage","code":"display"},"value":"Kliniek masterbestand"}]},{"code":"CM0","display":"Clinical study master","designation":[{"language":"nl","use":{"system":"http://terminology.hl7.org/CodeSystem/designation-usage","code":"display"},"value":"Klinisch onderzoek masterbestand"}],"property":[{"code":"status","valueCode":"deprecated"},{"code":"deprecationDate","valueDateTime":"1997-03"}]},{"code":"CM1","display":"Clinical study phase master","designation":[{"language":"nl","use":{"system":"http://terminology.hl7.org/CodeSystem/designation-usage","code":"display"},"value":"Klinisch onderzoeksfases masterbestand"}],"property":[{"code":"status","valueCode":"deprecated"},{"code":"deprecationDate","valueDateTime":"1997-03"}]},{"code":"CM2","display":"Clinical study Data Schedule Master","designation":[{"language":"nl","use":{"system":"http://terminology.hl7.org/CodeSystem/designation-usage","code":"display"},"value":"Klinisch onderzoek gegevensschema masterbestand"}],"property":[{"code":"status","valueCode":"deprecated"},{"code":"deprecationDate","valueDateTime":"1997-03"}]},{"code":"CMA","display":"Clinical study with phases and scheduled master file","designation":[{"language":"nl","use":{"system":"http://terminology.hl7.org/CodeSystem/designation-usage","code":"display"},"value":"Klinisch onderzoek met fases en schema masterbestand"}]},{"code":"CMB","display":"Clinical study without phases but with scheduled master file","designation":[{"language":"nl","use":{"system":"http://terminology.hl7.org/CodeSystem/designation-usage","code":"display"},"value":"Klinisch onderzoek zonder fases maar met schema masterbestand"}]},{"code":"INV","display":"Inventory master file","designation":[{"language":"nl","use":{"system":"http://terminology.hl7.org/CodeSystem/designation-usage","code":"display"},"value":"Voorraad masterbestand"}]},{"code":"LOC","display":"Location master file","designation":[{"language":"nl","use":{"system":"http://terminology.hl7.org/CodeSystem/designation-usage","code":"display"},"value":"Locatie masterbestand"}]},{"extension":[{"url":"http://hl7.org/fhir/StructureDefinition/codesystem-concept-comments","valueString":"This identifies Universal Service Identifier that are approved for an ICD based on the CPT.","_valueString":{"extension":[{"extension":[{"url":"lang","valueCode":"nl"},{"url":"content","valueString":"Hiermee worden Universele Service Identificaties aangeduid die zijn goedgekeurd voor een ICD-gebaseerde CPT-code."}],"url":"http://hl7.org/fhir/StructureDefinition/translation"}]}}],"code":"MACP","display":"Medicare Approved Coverage Process","designation":[{"language":"nl","use":{"system":"http://terminology.hl7.org/CodeSystem/designation-usage","code":"display"},"value":"Medicare goedgekeurde dekking proces"}]},{"extension":[{"url":"http://hl7.org/fhir/StructureDefinition/codesystem-concept-comments","valueString":"This identifies Universal Service Identifiers that are not approved for a CPT code based on an ICD.","_valueString":{"extension":[{"extension":[{"url":"lang","valueCode":"nl"},{"url":"content","valueString":"Hiermee worden Universele Service Identificaties aangeduid die niet zijn goedgekeurd voor een ICD-gebaseerde CPT-code."}],"url":"http://hl7.org/fhir/StructureDefinition/translation"}]}}],"code":"MLCP","display":"Medicare Limited Coverage Process","designation":[{"language":"nl","use":{"system":"http://terminology.hl7.org/CodeSystem/designation-usage","code":"display"},"value":"Medicare beperkte dekking proces"}]},{"code":"OM1","display":"Observation text master file segments (e.g., Lab)","designation":[{"language":"nl","use":{"system":"http://terminology.hl7.org/CodeSystem/designation-usage","code":"display"},"value":"Observatietekst masterbestand-segmenten (d.w.z. 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