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{"title": "Re: particle smoothing for neural Hawkes Processes", "review": "The paper presents an inference method (implicit distribution particle smoothing) for neural Hawkes processes that accounts for latent sequences of events that influence the observed trajectories.\n\nQuality\n+ The paper combines ideas from multiple areas of machine learning to tackle a challenging task of inference in multivariate continuous-time settings.\n- The figures reported from the paper are comparative graphs with respect to particle filtering, and so the absolute level of performance of the methods is not characterized. Reporting of distribution of sample weights and or run-times/complexity would strengthen the paper.\n\nClarity\n- notation is complex replete with symbols \"@\" and text in math formulas\n- It's not clear what p (\"the data model\") and p_miss (\"the missingness mechanism\") represent, and therefore why in equation 1: p(x,z) = p(xvz)p_miss(z| xvz) where v is the union symbol. In addition, how it's related to MAR and MNAR is unclear. If e.g. following Murphy, one writes MAR as: p(r|x_u, x_o) = p(r|x_o), r is a missingness vector, x_u is x unobserved, and x_o is x observed, then r corresponds to observation or not, whereas in the manuscript p_miss is on the values themselves, i.e. on the space where z={k_{i,j}@t_{i,j}} resides. We know, from the definition of MNAR that we can't use only the observed data to correctly infer the distributions of the missing values, and so while one can probabilistically predict in MNAR setting, their quality remains unknown. If none of the experiments touch upon MNAR data, perhaps it is possible to omit this part.\n\nOriginality\n+ the work is rich, complex, original, and uses leading methods from multiple areas of ML.\n\nSignificance\n+ the significance of this work could be high, as it may provide a way to conduct difficult inference in an effective way to produce increasingly flexible modeling of trajectories amidst partial observation.\n- however the exposition (particularly the experiments) does not fully demonstrate this.", "rating": "5: Marginally below acceptance threshold", "confidence": "3: The reviewer is fairly confident that the evaluation is correct"} |
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{"comment": "0", "idNoticia": "11935", "tags": [], "url": "http://www.valor.com.br/arquivo/184385/socopa-divulga-novo-preco-teorico-para-acoes-da-petrobras ", "autor": " Beatriz Cutait", "titulo": "Socopa divulga novo preço teórico para ações da Petrobras", "corpo": "SÃO PAULO – A Socopa Corretora estipulou novo preço teórico de R$ 34,00 para as ações preferenciais (PN, sem direito a voto) da Petrobras em 12 meses, com recomendação “acima de mercado”. O valor representa valorização potencial de 31% ante o valor de fechamento do último pregão. O preço anterior da Socopa correspondia a R$ 35,00. A pequena revisão incorporou o resultado da empresa no quarto trimestre de 2010 e o ajuste de algumas premissas de valuation para 2011. “A conclusão do processo de capitalização da Petrobras em outubro de 2010 encerrou uma fase de incertezas provocada, principalmente, pelo seu vultoso plano de investimento. Daqui para frente, as atenções se voltam para a execução do plano de investimento, declaração de comercialização de alguns poços no pré-sal, metas de produção e refino de petróleo, além de como será o nível de governança corporativa, dado o novo governo federal. Nossa expectativa é positiva para os papéis da empresa no próximo ano, dada sua defasagem com relação ao mercado e seus fundamentos”, afirma a Socopa, em relatório assinado pelo analista Osmar Camilo. Para os demais anos, a corretora assinala que a Petrobras terá que apresentar uma evolução operacional compatível com as expectativas geradas pela grande necessidade de investimento. “O fluxo de caixa para o acionista deverá ser tímido, uma vez que os desembolsos de capex serão expressivos. No entanto, aos atuais níveis de preço, consideramos uma boa oportunidade de investimento”, diz. A Socopa projeta lucro líquido de R$ 32,5 bilhões para a Petrobras em 2011 e de R$ 38,7 bilhões, em 2012. A estimativa para a receita líquida da estatal para os mesmos anos corresponde a R$ 222,6 bilhões e R$ 243,1 bilhões. A corretora ainda assinala que o lucro antes de juros, impostos, depreciação e amortização (Ebitda, na sigla em inglês) da Petrobras irá atingir R$ 68,3 bilhões neste ano e R$ 81 bilhões, no próximo, com margens Ebitda respectivas de 30,8% e 33,1%. (Beatriz Cutait | Valor)", "data": "2011-04-15 16:59:00"} |
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{"textgrid.poem.42183": {"metadata": {"author": {"name": "Wedekind, Frank", "birth": "N.A.", "death": "N.A."}, "title": "Albumblatt", "genre": "verse", "period": "N.A.", "pub_year": 1891, "urn": "N.A.", "language": ["de:0.99"], "booktitle": "N.A."}, "text": null, "poem": {"stanza.1": {"line.1": {"text": "Sei er noch so dick,", "tokens": ["Sei", "er", "noch", "so", "dick", ","], "token_info": ["word", "word", "word", "word", "word", "punct"], "pos": ["VAFIN", "PPER", "ADV", "ADV", "ADJD", "$,"], "meter": "+-+-+", "measure": "trochaic.tri"}, "line.2": {"text": "Einmal rei\u00dft der Strick.", "tokens": ["Ein\u00b7mal", "rei\u00dft", "der", "Strick", "."], "token_info": ["word", "word", "word", "word", "punct"], "pos": ["ADV", "VVFIN", "ART", "NN", "$."], "meter": "+-+-+", "measure": "trochaic.tri"}, "line.3": {"text": "Freilich soll das noch nicht hei\u00dfen,", "tokens": ["Frei\u00b7lich", "soll", "das", "noch", "nicht", "hei\u00b7\u00dfen", ","], "token_info": ["word", "word", "word", "word", "word", "word", "punct"], "pos": ["ADV", "VMFIN", "PDS", "ADV", "PTKNEG", "VVINF", "$,"], "meter": "+-+-+-+-", "measure": "trochaic.tetra"}, "line.4": {"text": "Da\u00df gleich alle Stricke rei\u00dfen.", "tokens": ["Da\u00df", "gleich", "al\u00b7le", "Stri\u00b7cke", "rei\u00b7\u00dfen", "."], "token_info": ["word", "word", "word", "word", "word", "punct"], "pos": ["KOUS", "ADV", "PIAT", "NN", "VVINF", "$."], "meter": "+-+-+-+-", "measure": "trochaic.tetra"}}, "stanza.2": {"line.1": {"text": "Nein, im Gegenteil,", "tokens": ["Nein", ",", "im", "Ge\u00b7gen\u00b7teil", ","], "token_info": ["word", "punct", "word", "word", "punct"], "pos": ["PTKANT", "$,", "APPRART", "NN", "$,"], "meter": "+-+-+", "measure": "trochaic.tri"}, "line.2": {"text": "Mancher Strick bleibt heil.", "tokens": ["Man\u00b7cher", "Strick", "bleibt", "heil", "."], "token_info": ["word", "word", "word", "word", "punct"], "pos": ["PIAT", "NN", "VVFIN", "ADJD", "$."], "meter": "+-+-+", "measure": "trochaic.tri"}}, "stanza.3": {"line.1": {"text": "Sei er noch so dick,", "tokens": ["Sei", "er", "noch", "so", "dick", ","], "token_info": ["word", "word", "word", "word", "word", "punct"], "pos": ["VAFIN", "PPER", "ADV", "ADV", "ADJD", "$,"], "meter": "+-+-+", "measure": "trochaic.tri"}, "line.2": {"text": "Einmal rei\u00dft der Strick.", "tokens": ["Ein\u00b7mal", "rei\u00dft", "der", "Strick", "."], "token_info": ["word", "word", "word", "word", "punct"], "pos": ["ADV", "VVFIN", "ART", "NN", "$."], "meter": "+-+-+", "measure": "trochaic.tri"}, "line.3": {"text": "Freilich soll das noch nicht hei\u00dfen,", "tokens": ["Frei\u00b7lich", "soll", "das", "noch", "nicht", "hei\u00b7\u00dfen", ","], "token_info": ["word", "word", "word", "word", "word", "word", "punct"], "pos": ["ADV", "VMFIN", "PDS", "ADV", "PTKNEG", "VVINF", "$,"], "meter": "+-+-+-+-", "measure": "trochaic.tetra"}, "line.4": {"text": "Da\u00df gleich alle Stricke rei\u00dfen.", "tokens": ["Da\u00df", "gleich", "al\u00b7le", "Stri\u00b7cke", "rei\u00b7\u00dfen", "."], "token_info": ["word", "word", "word", "word", "word", "punct"], "pos": ["KOUS", "ADV", "PIAT", "NN", "VVINF", "$."], "meter": "+-+-+-+-", "measure": "trochaic.tetra"}}, "stanza.4": {"line.1": {"text": "Nein, im Gegenteil,", "tokens": ["Nein", ",", "im", "Ge\u00b7gen\u00b7teil", ","], "token_info": ["word", "punct", "word", "word", "punct"], "pos": ["PTKANT", "$,", "APPRART", "NN", "$,"], "meter": "+-+-+", "measure": "trochaic.tri"}, "line.2": {"text": "Mancher Strick bleibt heil.", "tokens": ["Man\u00b7cher", "Strick", "bleibt", "heil", "."], "token_info": ["word", "word", "word", "word", "punct"], "pos": ["PIAT", "NN", "VVFIN", "ADJD", "$."], "meter": "+-+-+", "measure": "trochaic.tri"}}}}} |
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{"id":321099,"type":2,"name":"とある黒子の淫獣部屋","image":"//lain.bgm.tv/pic/cover/m/53/d2/321099_l2mSn.jpg","summary":"■作品内容\r\n\r\n黒○がひたすらHをする動画集です。\r\n台詞などは、製作上の考えで\r\nほとんどありませんが、\r\n可愛く喘いだり、ブヒブヒ言ったりします。\r\n\r\n■タイム\r\n本編+おまけで約20分\r\n視点違いは半分以下です。\r\n\r\nフィルターなしの動画も入れてますが、\r\nタイムに入れてません。\r\n\r\n■衣装3種 \r\nノーマル水着、\r\nオープンブラA(乳首チェーン) \r\nオープンブラB(ハート乳首)\r\n\r\n■プレイ\r\n醜顔ブヒプレイ(鼻フック)\r\nバック系複数\r\n正上位系複数\r\n騎乗系?複数\r\nフェラ複数\r\nアナル舐め\r\n中出し複数\r\n口内射精\r\n顔射\r\nダブルピース\r\nアヘ顔\r\n\r\n■動作環境\r\nmp4が再生可能な環境及び、\r\nウィンドウズメディアプレイヤー形式\r\n体験版などで動作確認お願い致します。","info":"<li><span>中文名: </span>某黑子的淫兽房间</li><li><span>制作: </span><a href=\"/person/40294\">ラーヌン屋</a></li><li><span>别名: </span>某黑子的淫兽部屋</li><li><span>片长: </span>约20分钟</li><li><span>发售日: </span>2013-06-30</li><li><span>dlsite: </span>RJ117940</li>","staff":[{"id":40294,"image":"","name":"ラーヌン屋","desc":"制作"}]} |
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{"name":"שוים סינגל ז\"ל","date":"3/1/1980","age":null}
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Requires the court to instruct the jury not to consider the race, color, national origin, creed, or sex of the defendant or victim in its consideration of the sentence. Establishes procedures for appeal from a death sentence. Requires the court of appeals, upon consideration of the record and the information and procedures of the sentencing hearing, to affirm the decision if: (1) the sentence was not imposed under the influence of passion, prejudice, or any other arbitrary factor; and (2) the information supports the finding of aggravating factors. Requires the court to provide a written explanation of its determination. Sets forth procedures for the implementation of the sentence of death. Limits the circumstances under which the offense of delivering defense information to aid foreign governments is punishable by death. Provides for the imposition of the death penalty for: (1) murder committed by prisoners in Federal prisons; (2) kidnappings which result in the death of any person; (3) hostage takings which result in the death of any person; (4) attempting to kill the President of the United States (if such attempt results in bodily injury or comes dangerously close to causing the President's death); (5) \"murder for hire\"; (6) murder in the aid of a racketeering activity; (7) international terrorism (where the killing is a first degree murder); and (8) engaging in a criminal enterprise activity which results in death. Increases the minimum sentence to life imprisonment for the crime of bank robbery which results in death."
},
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{"id": "35914119", "header": "Quỳnh Trần JP 'mạnh tay' ủng hộ hơn 100 triệu giúp người Việt xa xứ chống dịch COVID-19", "datetime": "2020-08-04T07:30:00.000+07:00", "summary": "Nghĩa cử cao đẹp của Quỳnh Trần JP nhận được nhiều lời khen từ cộng đồng mạng", "content": "Không chỉ là YouTuber nổi tiếng với những video ăn uống chân thật, dễ thương thu hút hàng triệu lượt xem, Quỳnh Trần JP còn là một người luôn hướng trái tim về đất nước.Dù đã có cuộc sống ổn định, hạnh phúc ở Nhật Bản nhưng cô vẫn thường nhắc đến Việt Nam và hoài niệm quê hương qua những món ăn mình làm. Chính vì vậy mà khi Tổ quốc gặp khó khăn, Quỳnh Trần không ngần ngại dang tay giúp đỡ.Mới đây, trên Instagram cá nhân, Quỳnh Trần JP đã chia sẻ nghĩa cử tốt đẹp của mình với người hâm mộ. Cụ thể, YouTuber nổi tiếng đã quyên góp 50 Man (hơn 100 triệu đồng) đến một ngôi chùa để giúp đỡ những người Việt Nam ở Nhật Bản., Quỳnh Trần JP viết.Đây không phải là lần đầu tiên Quỳnh Trần JP giúp đỡ cho người Việt Nam. Đầu năm nay, khi COVID-19 bắt đầu xuất hiện ở nước ta, gia đình cô cũng đã quyên góp 100 triệu cho Mặt trận Tổ quốc Việt Nam.Cùng với lần này, YouTuber nổi tiếng hi vọng tấm lòng của mình có thể phần nào Việt Nam vượt qua khó khăn trong mùa dịch và truyền cảm hứng, động lực đến mọi người.Cô chia sẻ: .Bên dưới bình luận, người hâm mộ dành lời khen cho hành động của Quỳnh Trần JP. Khi đất nước đang “oằn mình” chống dịch, nghĩa cử cao đẹp của cô thật sự đã động viên tinh thần mọi người rất nhiều. ", "topic": "Văn hóa", "tag": ["Quỳnh Trần JP", "Quỳnh Trần", "Xa xứ", "Nghĩa cử", "Cao đẹp", "Mạnh tay", "Người Việt", "Lời khen", "Dịch", "Chùa Đại Ân Honjo", "Chân thật", "Hoài niệm", "Ủng hộ", "Quyên góp", "Đỡ đần", "Đùm bọc", "Lượt xem", "Dễ thương", "Ngôi chùa", "Cửa phật"], "link": "https://saostar.vn/doi-song/quynh-tran-jp-manh-tay-ung-ho-hon-100-trieu-chong-covid-19-20200803200944435.html"} |
{
"name": "asar-node",
"version": "2.1.3",
"description": "Enable require('./path/to/any-node-project.asar') & require('./path/to/any-node-project.asar/any/file'). Or just run asar-node ./path/to/any-node-project.asar",
"bin": {
"asar-node": "./bin/asar-node.js"
},
"scripts": {
"test": "asar p ./spec/_app --unpack=*.node ./spec/app.asar && asar p ./spec/_app-default-entry ./spec/app-default-entry.asar && asar p ./spec/_app-default-entry-json ./spec/app-default-entry-json.asar && asar p ./spec/_app-default-entry-node --unpack=*.node ./spec/app-default-entry-node.asar && asar p ./spec/_app-pkg-default-entry ./spec/app-pkg-default-entry.asar && asar p ./spec/_app-pkg-default-entry-json ./spec/app-pkg-default-entry-json.asar && asar p ./spec/_app-pkg-default-entry-node --unpack=*.node ./spec/app-pkg-default-entry-node.asar && asar p ./spec/_app-default-entry-error ./spec/app-default-entry-error.asar && asar p ./spec/_app-pkg-entry ./spec/app-pkg-entry.asar && asar p ./spec/_app-pkg-entry-error ./spec/app-pkg-entry-error.asar && node ./spec/index.js"
},
"keywords": [
"asar",
"require"
],
"main": "./index.js",
"license": "MIT",
"author": "toyobayashi",
"homepage": "https://github.com/toyobayashi/asar-node",
"repository": {
"type": "git",
"url": "https://github.com/toyobayashi/asar-node.git"
},
"bugs": {
"url": "https://github.com/toyobayashi/asar-node/issues"
},
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"eslint": "^5.9.0",
"eslint-config-standard": "^12.0.0",
"eslint-plugin-import": "^2.14.0",
"eslint-plugin-node": "^8.0.0",
"eslint-plugin-promise": "^4.0.1",
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}
|
{"Chicago": {"Lurie Garden": "Lurie Garden is a 2.5-acre (10,000 m2) garden located at the southern end of Millennium Park in the Loop area of Chicago in Cook County, Illinois, United States. Designed by GGN (Gustafson Guthrie Nichol), Piet Oudolf, and Robert Israel, it opened on July 16, 2004. The garden is a combination of perennials, bulbs, grasses, shrubs and trees."}} |
{
"id": 52756,
"title": "Sister, Stop Messing With Me!",
"url": "https://mangadex.org/manga/52756",
"last_updated": "January 16, 2021 01:00:01 UTC",
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},
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{
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}
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{ "date":"2018-03-21", "volume":"48459", "adjClosePrice":"64300", "featured":false },
{ "date":"2018-03-22", "volume":"45087", "adjClosePrice":"63300", "featured":false },
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{"name":"איה מאירי זמיבסקי ז\"ל","date":"4/2/1990","age":"67"}
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{"brief":"Atroth-beth-Joab","long":"Meaning: \"Atroth-beth-Joab\", a place in Palestine. Usage: Ataroth the house of Joab. Source: from the same as \"H5852\" and \"H1004\" and \"H3097\"; crowns of the house of Joab; "}
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"body": "Thanks for the report.\n\nI've got a similar report personally which seems to be caused by a local variable using `@`. Unfortunately I couldn't reproduce the issue (I've used Mac at that time).\n\nIs your problem only caused by queries includes `@`?\n"
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"body": "We have only observed it on queries using @, since the failure happens at random values it is very hard to test whether it fails without using the @ operator.\n"
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"body": "this is numexpr 2.4.4 which is a bit buggy\n\nsee https://github.com/pydata/pandas/issues/11743\n\nupdate to 2.4.6 and all will be well\n"
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"body": "According to your comment on #11743 shouldn't the indexing issue only happen for >500K elements?\nMy example here is much smaller.\n\nAnyway, if if is a `numexpr` issue, I cannot fix it in the offending machine until 2.4.6 gets pushed to conda (the pip version requires a different `numpy` that fails pip-installing on windows). \n"
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"body": "you can remove `numexpr` and it wlll work\n"
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"body": "note that `numexpr` was just updated in `conda` to 2.4.6\n"
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"body": "Just noticed it a few minutes ago. Will test with the upgraded version and check that everything works. Thanks!\n"
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{"text": "JustCoin", "link": "https://justcoin.com/"}, "resource_type": 2, "node_type": 2, "id": "6e655d3c50c7814fe47533627413d06bf60754680ca5b451f35956e907b8e111"}}, {"data": {"name": "res-9170103", "data": {"text": "RippleWise", "link": "https://www.ripplewise.com/"}, "resource_type": 2, "node_type": 2, "id": "917010302ad73a03b3861a3308002b14e50501e3b2c01fa11b99a630e9c77ee2"}}, {"data": {"name": "res-373c1cb", "data": {"text": "Ripple Union", "link": "https://xagate.com"}, "resource_type": 2, "node_type": 2, "id": "373c1cbe6d3c70d2bd02d337fed2cb3fafbbf563e6cd12928470816e9dad360e"}}, {"data": {"name": "res-9e4d6e3", "data": {"text": "Divident Rippler", "link": "https://www.dividendrippler.com/"}, "resource_type": 2, "node_type": 2, "id": "9e4d6e3c92cd46b10bf030b398232491ab4aab855477b3b56f5c5b319ee9df34"}}, {"data": {"name": "res-a25155b", "data": {"text": "Ripple Israel", "link": "http://rippleisrael.co.il/"}, "resource_type": 2, "node_type": 2, "id": "a25155b82cbde439460000b7ea13f19fc01293304d911ea203ddf0af72659c80"}}, {"data": {"name": "res-d4cc0f4", "data": {"text": "The Rock Trading", "link": "https://www.therocktrading.com/"}, "resource_type": 2, "node_type": 2, "id": "d4cc0f45bc3f92028059ffa793a28648a2a92afc374d497762144cfe53196886"}}, {"data": {"name": "res-1be4741", "data": {"text": "WisePass", "link": "https://wisepass.com/"}, "resource_type": 2, "node_type": 2, "id": "1be4741c38be85480fcc0ab4b38722aefe9c9c4198b0589ced0a7e267261c1b8"}}, {"data": {"name": "res-5a51d37", "data": {"text": "Devcoin", "link": "http://ripple.d.evco.in/"}, "resource_type": 2, "node_type": 2, "id": "5a51d3710767103f8c708eff854a1c1586bb58c0f85abc025c7ab2cbcbc6a7b9"}}, {"data": {"name": "res-b5339d4", "data": {"text": "BuyXrp", "link": "http://buyxrp.net/"}, "resource_type": 2, "node_type": 2, "id": "b5339d4bfbccb632de13e5c76894544c9ef034450f294c32abc231f820b2b9a9"}}, {"data": {"name": "res-c667368", "data": {"text": "BTC2Ripple", "link": "https://btc2ripple.com/"}, "resource_type": 2, "node_type": 2, "id": "c667368f48b1fc544259c69315ac79aacbf7b829efd9c2dc47fb070dbda2dde5"}}, {"data": {"name": "res-cacd0aa", "data": {"text": "NoFiatCoin", "link": "http://www.nofiatcoin.com/"}, "resource_type": 2, "node_type": 2, "id": "cacd0aa7cd68175c5eac22214c0593ba82ea3924bd2b7dc4f99a4dd283414ca5"}}, {"data": {"name": "res-ec3f9e5", "data": {"text": "Ripple Singapore", "link": "https://www.ripplesingapore.com/"}, "resource_type": 2, "node_type": 2, "id": "ec3f9e5e641cf84111fa79812d6be1d9cc5e501564181a539cea7027172a2703"}}, {"data": {"name": "res-0b9908b", "data": {"text": "PaxMoneta", "link": "https://paxmoneta.com"}, "resource_type": 2, "node_type": 2, "id": "0b9908b0c3d9552d841064e73a5cbedc18d4c9061d67153e8e3c08d41068fb80"}}, {"data": {"name": "res-d0503b2", "data": {"text": "Ripple Market Korea", "link": "http://ripple-market.co.kr/"}, "resource_type": 2, "node_type": 2, "id": "d0503b294b9e86b039838b865b9818b30e446a6899033dc858dbf42eac6580b0"}}, {"data": {"name": "res-ed4c764", "data": {"text": "RippleFox", "link": "https://ripplefox.com/"}, "resource_type": 2, "node_type": 2, "id": "ed4c76401f095e34ad9fa2cc36b633dac26a9f72d890d11281d142627715d16e"}}, {"data": {"name": "res-046ddef", "data": {"text": "ShapeShift", "link": "https://shapeshift.io"}, "resource_type": 2, "node_type": 2, "id": "046ddef816b400244595766ea6266f46a898342edccb2a531c44e2b8ec9341e9"}}, {"data": {"name": "res-121c353", "data": {"text": "saldo.mx", "link": "http://saldo.mx/"}, "resource_type": 2, "node_type": 2, "id": "121c3530b082d7f7ff2ca0fc11b463644ca00ca2ce80fd60b24e018ad0e14d03"}}, {"data": {"name": "# Code", "node_type": 1, "id": "1d63934865e62e46245c3b2d43eda5e2e16abcbcfc489d63e4442d81d03a7d0f"}}, {"data": {"name": "### Rippled - The Guy!", "node_type": 1, "id": "427c2dcdd4a73cd7051fcb7bdc617b08955b3c9d67fd80bbef7fe98e09da140e"}}, {"data": {"name": "res-6ecad77", "data": {"text": "rippled", "link": "https://github.com/ripple/rippled/"}, "resource_type": 2, "node_type": 2, "id": "6ecad77c2e88f7f8ef85fe6613006d3cf1a34f28197f64fabc984ac58459cde4"}}, {"data": {"name": "res-11b33c1", "data": {"text": "rippled Docker container (node)", "link": "https://github.com/WietseWind/docker-rippled"}, "resource_type": 2, "node_type": 2, "id": "11b33c12f9f09b363497d55e3cecf47095e13dec750985304d6aac15b098a6bc"}}, {"data": {"name": "res-07f13b3", "data": {"text": "rippled Docker container (validator)", "link": "https://github.com/WietseWind/docker-rippled-validator"}, "resource_type": 2, "node_type": 2, "id": "07f13b30b09b23f66800f3935677ff5362bb5a311384a363116cd7fbe3a6e229"}}, {"data": {"name": "### Libs - Libraries for talking to the Ripple API", "node_type": 1, "id": "f9f5c656d313db27cdc6c5776c9896d8a339f0dc80f1a467bc0a9caeef900125"}}, {"data": {"name": "res-12b9e09", "data": {"text": "ripple-libpp", "link": "https://github.com/ripple/ripple-libpp"}, "resource_type": 2, "node_type": 2, "id": "12b9e09d1fc56fa1db2a06ae4f254d41022f5f494d7f606cff42bf81ccf9ca9d"}}, {"data": {"name": "res-c7cd160", "data": {"text": "ripple-rest", "link": "https://github.com/ripple/ripple-rest"}, "resource_type": 2, "node_type": 2, "id": "c7cd160281c2c98e1427a9c3ad98079f17b7f889d4c32656c465a49bba05c42c"}}, {"data": {"name": "res-bcc84c8", "data": {"text": "ripple-lib", "link": "https://github.com/ripple/ripple-lib/"}, "resource_type": 2, "node_type": 2, "id": "bcc84c8567592c04a2737d0826c989cd893f57b3d1cddd3aa109071822976055"}}, {"data": {"name": "res-4865464", "data": {"text": "rippled-ws-client", "link": "https://www.npmjs.com/package/rippled-ws-client"}, "resource_type": 2, "node_type": 2, "id": "486546467531eadc84a47de7466311c816d3ca4728f972e4050bbc3437a08615"}}, {"data": {"name": "res-0d8755f", "data": {"text": "ripple-lib-java", "link": "https://github.com/ripple/ripple-lib-java/"}, "resource_type": 2, "node_type": 2, "id": "0d8755f0dabbabfc95de9c09c55afd4e7fd5e8f871a4e2a1eca55d25d3b1fd4c"}}, {"data": {"name": "res-411eaa1", "data": {"text": "ripple-lib-ruby", "link": "https://github.com/kevinejohn/ripple-lib-rpc-ruby/"}, "resource_type": 2, "node_type": 2, "id": "411eaa146adf9e643ce0555b8eddeab6e3c66fb6532230edfb1f8e5bd0913b5a"}}, {"data": {"name": "res-be34451", "data": {"text": "ripple-python", "link": "https://github.com/miracle2k/ripple-python/"}, "resource_type": 2, "node_type": 2, "id": "be34451133bdbbccaa918fd4c5ba5769a9b1dd867165633f83d17c663a120844"}}, {"data": {"name": "res-e2d540a", "data": {"text": "ripple-python-lib", "link": "https://github.com/arsenlosenko/python-ripple-lib"}, "resource_type": 2, "node_type": 2, "id": "e2d540af7f3056d61fa4658055bd8b91dead9b84a7f102d6eeeff88320aa20fc"}}, {"data": {"name": "res-6a960df", "data": {"text": "ripple-haskell", "link": "https://github.com/singpolyma/ripple-haskell/"}, "resource_type": 2, "node_type": 2, "id": "6a960dfff0b7aa625520845fe762ab98b9e03f6a50fbac3499771507e6792727"}}, {"data": {"name": "res-488facc", "data": {"text": "rubblelabs/ripple", "link": "https://github.com/rubblelabs/ripple"}, "resource_type": 2, "node_type": 2, "id": "488facc009232d75b15187c52fbedbc3acffa7e714bb302f1922343ece173f82"}}, {"data": {"name": "res-3e82d90", "data": {"text": "RippleKit", "link": "https://github.com/xasos/RippleKit"}, "resource_type": 2, "node_type": 2, "id": "3e82d90d6ffc3b04c02a42068ca259125597080d861c941eb88f6fcb8dd2c699"}}, {"data": {"name": "### Clients / Apps", "node_type": 1, "id": "b782f6c75a9aa43a8ed5bdeb5bc4936b56f5d64142b2094b11a0ea3d419bf679"}}, {"data": {"name": "res-fc5236b", "data": {"text": "ripple-client", "link": "https://github.com/ripple/ripple-client/"}, "resource_type": 2, "node_type": 2, "id": "fc5236be40b93071c8bdbfff249583aba33ced25f456cdc7c5b779861401c4c6"}}, {"data": {"name": "res-6b19638", "data": {"text": "ripple-client-desktop", "link": "https://github.com/ripple/ripple-client-desktop"}, "resource_type": 2, "node_type": 2, "id": "6b196386c2e08b0e56a593eb9aaa697a261add32af182f2083db5baa959cc8cd"}}, {"data": {"name": "res-4cd3b91", "data": {"text": "ripple-client-ios", "link": "https://github.com/ripple-unmaintained/ripple-client-ios"}, "resource_type": 2, "node_type": 2, "id": "4cd3b91da881752ba75941532a7f8f51ddc84c6b68fab4256a472091c2745ce0"}}, {"data": {"name": "res-f073bf4", "data": {"text": "ripplecharts", "link": "https://github.com/ripple/ripplecharts/"}, "resource_type": 2, "node_type": 2, "id": "f073bf4151753c0ea586712453e8affbfe9703cb1b83df2feda07f867e2941ed"}}, {"data": {"name": "res-b37b573", "data": {"text": "ripple-graph", "link": "https://github.com/ripple-unmaintained/ripple-graph"}, "resource_type": 2, "node_type": 2, "id": "b37b573de024961bd9e2c055e2772e1ed6efc5fc3d05825c733ea38636fe1249"}}, {"data": {"name": "res-e6a83da", "data": {"text": "Ripple Go", "link": "https://bitbucket.org/dchapes/ripple/"}, "resource_type": 2, "node_type": 2, "id": "e6a83dac8ae95381c4646ac8687f924d0e0b868c26232c697bef8261b31eb77b"}}, {"data": {"name": "res-3c49273", "data": {"text": "Snow", "link": "https://github.com/justcoin/snow"}, "resource_type": 2, "node_type": 2, "id": "3c49273dfe78203b6be3809f977ee82f07083b94b1c7d4079b9592d7c12f763d"}}, {"data": {"name": "res-4241f6e", "data": {"text": "Ripplectron", "link": "https://github.com/devjin0617/ripplectron"}, "resource_type": 2, "node_type": 2, "id": "4241f6e1de0b4ae3c64d5144fecca06e97672343d286a06808e570b70eebc813"}}, {"data": {"name": "### Other", "node_type": 1, "id": "25d2a4614ab66fcd40241565978d33d8b9b7920cd1b69d13822122aeee2e4d5e"}}, {"data": {"name": "res-d702f2d", "data": {"text": "gatewayd", "link": "https://github.com/ripple/gatewayd"}, "resource_type": 2, "node_type": 2, "id": "d702f2d72954d8a851e1a00e2f2db7fba3c9992604b30b28a0c6d80df807ce3b"}}, {"data": {"name": "res-d14b2a5", "data": {"text": "ripple-blobvault", "link": "https://github.com/ripple/ripple-blobvault"}, "resource_type": 2, "node_type": 2, "id": "d14b2a527df06dc1a1ff7d760b9603e6f41232d0e2fb7104cbf7adcdaa2baf1b"}}, {"data": {"name": "res-fc04a86", "data": {"text": "ripple-authd", "link": "https://github.com/ripple/ripple-authd"}, "resource_type": 2, "node_type": 2, "id": "fc04a86c262064597add3896e81602f47ad75a11248a83eee8747233bc7b175c"}}, {"data": {"name": "res-cfe8eb8", "data": {"text": "rippled-historical-database", "link": "https://github.com/ripple/rippled-historical-database"}, "resource_type": 2, "node_type": 2, "id": "cfe8eb871bcc4263725cdcec79c5bd37c9ddad96049588e62bfd85dbf41e3b69"}}, {"data": {"name": "res-2df0f94", "data": {"text": "ripple-data-api", "link": "https://github.com/ripple/ripple-data-api"}, "resource_type": 2, "node_type": 2, "id": "2df0f941403b57559de0eecd0ebf4cc60d4a5653160e3a9237dbe55dcfc0a837"}}, {"data": {"name": "res-a180820", "data": {"text": "[ripple-vault-client](ripple-vault-client)", "link": ""}, "resource_type": 1, "node_type": 2, "id": "a180820d2e69d1d0e70cef35df84b7f07495f6c7993769b6176985b98156dab3"}}, {"data": {"name": "res-587856f", "data": {"text": "federation-php", "link": "https://github.com/ripple-unmaintained/federation-php"}, "resource_type": 2, "node_type": 2, "id": "587856faa75a5937cc3cb74e35f01578657af5bafba9e3318acd6805add4116d"}}, {"data": {"name": "res-ff00372", "data": {"text": "federation-python", "link": "https://github.com/miracle2k/ripple-federation-python"}, "resource_type": 2, "node_type": 2, "id": "ff00372888db3b99c1001dbd480fb9ca101e929d490b82f92ea9aac6ddb857d3"}}, {"data": {"name": "res-33729a2", "data": {"text": "Ripple Rails", "link": "https://github.com/singpolyma/ripple-rails/"}, "resource_type": 2, "node_type": 2, "id": "33729a2e3149bc4bcdc1e7ccbb62d2746ce265a42bb8d2e0663dffd601e8647c"}}, {"data": {"name": "res-92070c7", "data": {"text": "Ripple Gen", "link": "https://github.com/CodeShark/RippleGen/"}, "resource_type": 2, "node_type": 2, "id": "92070c79e0ce4e56b940b29cfd3e172b06bffa9b964c0bf81409fda0f3d03336"}}, {"data": {"name": "res-0575741", "data": {"text": "Ripple Checkout", "link": "https://github.com/emschwartz/ripple-donate-widget"}, "resource_type": 2, "node_type": 2, "id": "0575741a668dffe0afee3d8e5b84f3ff9b83b5220dd4932a52170ab6f1c131d8"}}, {"data": {"name": "res-ecb6a26", "data": {"text": "Magento plugin", "link": "http://www.magentocommerce.com/magento-connect/ripple-json-rpc.html"}, "resource_type": 2, "node_type": 2, "id": "ecb6a2627a66d3eff77f1844495f1f0fc89137680aadb035db4f3b171c0aacf3"}}, {"data": {"name": "res-8b2cefc", "data": {"text": "rubblelabs/tx", "link": "https://github.com/rubblelabs/tx"}, "resource_type": 2, "node_type": 2, "id": "8b2cefce5d23fd9b5673919350b27cbc7436eeec2c6e68cd2959a12af9224a36"}}, {"data": {"name": "res-ad0cb58", "data": {"text": "xrpayments.co", "link": "https://xrpayments.co"}, "resource_type": 2, "node_type": 2, "id": "ad0cb587a9471a436a5769bba2aa62f3928ce8a14ec0df7e3e2602139bb52a60"}}, {"data": {"name": "res-b2f408f", "data": {"text": "XRP Text", "link": "https://xrptext.com"}, "resource_type": 2, "node_type": 2, "id": "b2f408f4e9d9b96aa401331d7b2cf024edc673d76ef69d487160d69d3781dc99"}}, {"data": {"name": "# Hosted Tools", "node_type": 1, "id": "3d26dec97e2391e73916abe77a10b7b7063450e5c4da4b3b70073244eeae561c"}}, {"data": {"name": "### Clients", "node_type": 1, "id": "a0b95f1ae517de50ee8e304b404aa3add3f7b6bf118a496213d7b9f06fa133da"}}, {"data": {"name": "res-1288166", "data": {"text": "Ripple Trade", "link": "https://rippletrade.com/"}, "resource_type": 2, "node_type": 2, "id": "128816677b946c7dba0db4e0885aa7394fc92314791ba8b57d983202b9f79ad8"}}, {"data": {"name": "res-8caf85f", "data": {"text": "GateHub", "link": "https://gatehub.net/"}, "resource_type": 2, "node_type": 2, "id": "8caf85f43a7769d86cdfa949ce78b51cac7654b67032ab3890fd941c1045244c"}}, {"data": {"name": "### Developer tools", 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{"Allentown": {"Lehigh Valley Mall": "The Lehigh Valley Mall is an enclosed super-regional shopping mall located in Whitehall Township, Lehigh County, Pennsylvania in the United States. It is the largest shopping mall in the Lehigh Valley region of Pennsylvania. The Lehigh Valley Mall is anchored by Boscov's, JCPenney, and Macy's."}} |
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} |
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