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{"artist": "Ricochet", "timestamp": "2011-08-15 15:07:13.160738", "similars": [], "tags": [], "track_id": "TRDVIRU128F4265B1A", "title": "Ease My Troubled Mind"} |
"20151116\n远行的那人\n随便捡了块岩石\n歇歇脚\n他不知道这岩石已经等了\n几千年\n这岩石因为等他\n才成为岩石\n他不知道只歇歇脚\n就继续赶路\n只有磕下的泥灰\n在岩石边\n和岩石一道\n目睹暮色中\n远行的那人\n黑色的衣衫" |
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"description": "CarbonBlack Threat Analysis Unit. (2019, March 22). TAU Threat Intelligence Notification \u2013 LockerGoga Ransomware. Retrieved April 16, 2019.",
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"description": "Greenberg, A. (2019, March 25). A Guide to LockerGoga, the Ransomware Crippling Industrial Firms. Retrieved July 17, 2019."
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{
"answers": [
"B",
"D"
],
"options": [
[
"About four hundred and five.",
"About four hundred and thirty-five.",
"About four hundred and fifty-five.",
"About four hundred and forty-two."
],
[
"They can visitors the beautiful view of countryside.",
"They can watch the crops grow.",
"They can work with the farmers and taste the produce.",
"All of the above."
]
],
"questions": [
"How many farms opened their gates to the public according to the passage?",
"What can visitors do on the farms according to the passage?"
],
"article": "Do you know Open Farm Sunday? It is a new day in Britain. It is the fourth mayional open day for the farming industry .Now it is setting more and more popular among people, especially among young people.\nIt is said that about 435 farms opened their gates to the public. The farmers invited people to their farms. Many people help the farmers work on the farms. They can do many things over there,such as water the crops and gather the crops. People could find pleasure of farming.\nOpen Farm Sunday is a good chance to enjoy the life of countryside,especially for people living in the cities.If you come to the farm,you will fall in love with the country life.Here you can listen to the birds,enjoy the beautiful _ of countryside breathe the fresh air and watch the crops grow.You can also work with the farmers and taste the produce,such as tomatoes and cucumbers.\nOne farmer said,\"Welcome children to our farms. We will show you where your food comes from.\"",
"id": "asc20199"
} |
{"definitions": [{"wordtype": "Noun", "description": "Rescue; deliverance."}, {"wordtype": "Noun", "description": "See Rescue, 2."}]} |
{
"filename": "7625-equality-of-opportunity-in-classification-a-causal-approach.pdf",
"metadata": {
"title": "Equality of Opportunity in Classification: A Causal Approach",
"author": "Junzhe Zhang, Elias Bareinboim",
"date": 2018,
"identifiers": {
"url": "https://papers.nips.cc/paper/7625-equality-of-opportunity-in-classification-a-causal-approach.pdf"
},
"journal": "Conference on Neural Information Processing Systems",
"abstract": "The Equalized Odds (for short, EO) is one of the most popular measures of discrimination used in the supervised learning setting. It ascertains fairness through the balance of the misclassification rates (false positive and negative) across the protected groups \u2013 e.g., in the context of law enforcement, an African-American defendant who would not commit a future crime will have an equal opportunity of being released, compared to a non-recidivating Caucasian defendant. Despite this noble goal, it has been acknowledged in the literature that statistical tests based on the EO are oblivious to the underlying causal mechanisms that generated the disparity in the first place (Hardt et al. 2016). This leads to a critical disconnect between statistical measures readable from the data and the meaning of discrimination in the legal system, where compelling evidence that the observed disparity is tied to a specific causal process deemed unfair by society is required to characterize discrimination. The goal of this paper is to develop a principled approach to connect the statistical disparities characterized by the EO and the underlying, elusive, and frequently unobserved, causal mechanisms that generated such inequality. We start by introducing a new family of counterfactual measures that allows one to explain the misclassification disparities in terms of the underlying mechanisms in an arbitrary, non-parametric structural causal model. This will, in turn, allow legal and data analysts to interpret currently deployed classifiers through causal lens, linking the statistical disparities found in the data to the corresponding causal processes. Leveraging the new family of counterfactual measures, we develop a learning procedure to construct a classifier that is statistically efficient, interpretable, and compatible with the basic human intuition of fairness. We demonstrate our results through experiments in both real (COMPAS) and synthetic datasets."
},
"keywords": [
{
"term": "false positive",
"url": "https://en.wikipedia.org/wiki/false_positive"
},
{
"term": "law enforcement",
"url": "https://en.wikipedia.org/wiki/law_enforcement"
},
{
"term": "supervised learning",
"url": "https://en.wikipedia.org/wiki/supervised_learning"
},
{
"term": "african american",
"url": "https://en.wikipedia.org/wiki/african_american"
},
{
"term": "causal model",
"url": "https://en.wikipedia.org/wiki/causal_model"
}
],
"highlights": [
"The goal of supervised learning is to provide a statistical basis upon which individuals with different group memberships can be reliably classified",
"We develop a causal framework to link the disparities realized through the ER and the causal mechanisms by which the protected attribute X",
"(1) we introduce a family of counterfactual measures capable of describing the ER in terms of the direct, indirect, and spurious paths from X to Yon an arbitrary structural causal model (Defs. 1-3) and we prove different qualitative and quantitative properties of these measures (Thms. 1-2); (2) we derive adjustment-like formulas to estimate the counterfactual ERs from observational data (Thms. 3-4), which are accompanied with an efficient algorithm (Alg. 1, Thm. 5) to find the corresponding admissible sets; (3) we operationalize the proposed counterfactual estimands through a novel procedure to learn a fair classifier subject to constraints over the effect along the underlying causal mechanisms (Algs. 2-3, Thm. 6).\n2 Preliminaries and Notations",
"We introduced a new family of counterfactual measures capable of explaining disparities in the misclassification rates across different demographics in terms of the causal mechanisms underlying the specific prediction process",
"We developed machinery based on these measures to allow data scientists (1) to diagnose whether a classifier is operating in a discriminatory fashion against specific groups, and (2) to learn a new classifier subject to fairness constraints in terms of fine-grained misclassification rates"
],
"key_statements": [
"The goal of supervised learning is to provide a statistical basis upon which individuals with different group memberships can be reliably classified",
"We develop a causal framework to link the disparities realized through the ER and the causal mechanisms by which the protected attribute X",
"(1) we introduce a family of counterfactual measures capable of describing the ER in terms of the direct, indirect, and spurious paths from X to Yon an arbitrary structural causal model (Defs. 1-3) and we prove different qualitative and quantitative properties of these measures (Thms. 1-2); (2) we derive adjustment-like formulas to estimate the counterfactual ERs from observational data (Thms. 3-4), which are accompanied with an efficient algorithm (Alg. 1, Thm. 5) to find the corresponding admissible sets; (3) we operationalize the proposed counterfactual estimands through a novel procedure to learn a fair classifier subject to constraints over the effect along the underlying causal mechanisms (Algs. 2-3, Thm. 6).\n2 Preliminaries and Notations",
"We investigate the unequalized odds of misclassification observed in COMPAS by devising three simple thought experiments. These experiments could be generalized into a set of novel counterfactual measures, providing a fine-grained explanation of how the ER disparity of a classifier f is brought about",
"We provide in Appendix B [<a class=\"ref-link\" id=\"c27\" href=\"#r27\">27</a>] a more detailed discussion about the relationships between our measures and the existing ones.\n1G|Y explicitly represents the change of information flow due to conditioning on the true outcome Y : the information via arrows pointing away from Y is intercepted; measuring the collider Y makes its common causes dependent, known as the \u201cexplaining away\u201d effect [16, pp. 339].\n4 Estimating Counterfactual Error Rates",
"Given finite samples D = {Yi, Vi}in=1 drawn from P (y, v), the associated causal diagram G, and a set of candidate ctf-explainable classifiers F , the goal of the supervised learning is to obtain an optimal classifier f \u2217 from F such that a loss function L(D, f ) measuring the distance between the prediction Yand the true outcome Y is minimized",
"We focus on the false positive rate ERx0,x1 (y1|y0) across demographics x0 = 0, x1 = 1, where y1 = 1, y0 = 0, and the corresponding components ERxd0,x1 (y1|x0, y0), ERxi 1,x0 (y1|x0, y0) and ERxs1,x0 (y1|y0) (following",
"We introduced a new family of counterfactual measures capable of explaining disparities in the misclassification rates across different demographics in terms of the causal mechanisms underlying the specific prediction process",
"We developed machinery based on these measures to allow data scientists (1) to diagnose whether a classifier is operating in a discriminatory fashion against specific groups, and (2) to learn a new classifier subject to fairness constraints in terms of fine-grained misclassification rates"
],
"summary": [
"The goal of supervised learning is to provide a statistical basis upon which individuals with different group memberships can be reliably classified.",
"(1) we introduce a family of counterfactual measures capable of describing the ER in terms of the direct, indirect, and spurious paths from X to Yon an arbitrary structural causal model (Defs.",
"These experiments could be generalized into a set of novel counterfactual measures, providing a fine-grained explanation of how the ER disparity of a classifier f is brought about.",
"Given a SCM M, P (u) and a classifier f, the counterfactual direct error rate for a sub-population x, y is defined as: ERdx0,x1 (y|x, y) = Px0,y |x, y) \u2212 P",
"We generalize this thought experiment and provide an estimand of the indirect paths for any SCM and classifier f , namely: Definition 2 (Counterfactual Indirect Error Rate).",
"Given a SCM M, P (u) and a classifier f, the counterfactual spurious error rate for a sub-population x, y is defined as: ERxs0,x1 (y|y) = P \u2212 P",
"In COMPAS, ERdx0,x1 (y1|x0, y) explains how much the direct racial discrimination accounts for the unequalized false positive rate ERx0,x1 (y1|y0) between non-recidivating African American (x1, y) and Caucasian (x0, y) defendants.",
"Given finite samples D = {Yi, Vi}in=1 drawn from P (y, v), the associated causal diagram G, and a set of candidate ctf-explainable classifiers F , the goal of the supervised learning is to obtain an optimal classifier f \u2217 from F such that a loss function L(D, f ) measuring the distance between the prediction Yand the true outcome Y is minimized.",
"This observation suggests a novel feature selection problem in the fairness-aware classification task: we would like to find a subset PA from the available features V such that each classifier in the candidate set F = {\u2200f : PA \u2192 Y } is ctf-explainable, without significant loss of prediction accuracy.",
"We do not apply FindExpSet, since removing features from a ctf-explainable classifier does not violate the explanation criterion (Def. 4).",
"The results (Fig. 7(a)) support the counterfactual approach: fctf (90.1%) reports ER comparable to fer (ERctf = \u22120.238), but a smaller significant direct, indirect and spurious ER disparities (ERdctf = 0.191, ERcdtf = \u22120.194, ERdctf = \u22120.236).",
"Since classifiers with feature set {X, W, Z} are not ctf-explainable in the COMPAS model (Def.4), ERd of fer and fopt cannot be identified via Thm. 3.",
"We introduced a new family of counterfactual measures capable of explaining disparities in the misclassification rates across different demographics in terms of the causal mechanisms underlying the specific prediction process.",
"We hope the causal machinery put forwarded here will help data scientists to analyze already deployed systems as well as to construct new classifiers that are fair even when the training data comes from an unfair world"
],
"headline": "Leveraging the new family of counterfactual measures, we develop a learning procedure to construct a classifier that is statistically efficient, interpretable, and compatible with the basic human intuition of fairness",
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{
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{"url":"http://www.amazon.com/Chefn-102-205-017-Bananza-Banana-Slicer/dp/B004HINHKQ/ref=pd_sbs_79_2/185-5045225-9220526?ie=UTF8&dpID=317K7iQcZXL&dpSrc=sims&preST=_AC_UL160_SR107%2C160_&refRID=1K17F23KKG7WQENJPQW2","name":"0_18_17","review":"Sure, It works wonderfully but something about putting a banana in this instrument of torture kinda makes you feel dirty. Every now and then i go on a banana slicing spree, though i really enjoy it, it makes me question my ethics.","upvotes":0,"downvotes":0,"productTitle":"Chef'n Bananza Banana Slicer","imageUrl":"http://ecx.images-amazon.com/images/I/317K7iQcZXL._AC_UL160_SR107,160_.jpg"} |
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"body": "It appears to be having some difficulty reading something from the registry. I doubt that's related to anything in IPython, and none of us are Windows experts, so we can't offer much advice.\n\nFrom the nature of the error, it's possible that you wouldn't see it if you upgraded to Python 3.\n"
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"body": "Maybe you have install some application that add an entry to the registry that `mimetypes.py` can't read.\n\nYou can edit `mimetypes.py`, add `print ctype` before the line:\n\n```\nctype = ctype.encode(default_encoding) # omit in 3.x!\n```\n\nto find which entry in the registry cause the problem, and then browse the registry by `regedit`:\n\n```\nHKEY_CLASSES_ROOT\\Mime\\Database\\Content Type\n```\n"
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"body": "Thanks you two!\nI don't want to upgrade to Python 3 in a short time so I commented below codes in mimetypes.py, and it works!\n\ntry:\n ctype = ctype.encode(default_encoding) # omit in 3.x!\nexcept UnicodeEncodeError:\n pass\n"
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"body": "I am not exactly sure the problem I had is the same, as it is on Mac, but it is also says `Uncaught exception GET`:\n\n```\n[I 10:55:11.497 NotebookApp] 302 GET /notebooks/atac_tss_800_1.h5 (::1) 10.40ms\n[E 10:55:11.813 NotebookApp] Uncaught exception GET /files/atac_tss_800_1.h5 (::1)\n HTTPServerRequest(protocol='http', host='localhost:8891', method='GET', uri='/files/atac_tss_800_1.h5', version='HTTP/1.1', remote_ip='::1', headers={'User-Agent': 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10.10; rv:42.0) Gecko/20100101 Firefox/42.0', 'Connection': 'keep-alive', 'Accept-Encoding': 'gzip, deflate', 'Accept-Language': 'en-US,en;q=0.5', 'Host': 'localhost:8891', 'Accept': 'text/html,application/xhtml+xml,application/xml;q=0.9,*/*;q=0.8'})\n Traceback (most recent call last):\n File \"//anaconda/lib/python3.4/site-packages/tornado/web.py\", line 1413, in _execute\n result = method(*self.path_args, **self.path_kwargs)\n File \"//anaconda/lib/python3.4/site-packages/tornado/web.py\", line 2721, in wrapper\n return method(self, *args, **kwargs)\n File \"//anaconda/lib/python3.4/site-packages/notebook/files/handlers.py\", line 31, in get\n model = cm.get(path, type='file')\n File \"//anaconda/lib/python3.4/site-packages/notebook/services/contents/filemanager.py\", line 355, in get\n model = self._file_model(path, content=content, format=format)\n File \"//anaconda/lib/python3.4/site-packages/notebook/services/contents/filemanager.py\", line 284, in _file_model\n content, format = self._read_file(os_path, format)\n File \"//anaconda/lib/python3.4/site-packages/notebook/services/contents/fileio.py\", line 214, in _read_file\n bcontent = f.read()\n OSError: [Errno 22] Invalid argument\n[E 10:55:11.847 NotebookApp] {\n \"User-Agent\": \"Mozilla/5.0 (Macintosh; Intel Mac OS X 10.10; rv:42.0) Gecko/20100101 Firefox/42.0\",\n \"Connection\": \"keep-alive\",\n \"Accept-Encoding\": \"gzip, deflate\",\n \"Accept-Language\": \"en-US,en;q=0.5\",\n \"Host\": \"localhost:8891\",\n \"Accept\": \"text/html,application/xhtml+xml,application/xml;q=0.9,*/*;q=0.8\"\n }\n[E 10:55:11.848 NotebookApp] 500 GET /files/atac_tss_800_1.h5 (::1) 35.37ms referer=None\n```\n"
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"body": "@DSLituiev that suggests that Python cannot read the file. Can you open the file manually?\n"
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"body": "I moved things around and then back.\nNow it works.\n\nI am a lay person but I believed it loads h5 files only when a correspondent\ncell is run in the notebook and should complain already when loaded.\n\nOn Tue, Nov 24, 2015 at 2:48 AM, Min RK notifications@github.com wrote:\n\n> @DSLituiev https://github.com/DSLituiev that suggests that Python\n> cannot read the file. Can you open the file manually?\n> \n> —\n> Reply to this email directly or view it on GitHub\n> https://github.com/ipython/ipython/issues/6713#issuecomment-159227587.\n"
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"start": "node --max_old_space_size=4112 ./node_modules/.bin/concurrently \"pluggable-widgets-tools start:server --open\" \"npm:dev\"",
"dev": "node --max_old_space_size=4112 ./node_modules/.bin/pluggable-widgets-tools start:js",
"build": "node --max_old_space_size=4112 ./node_modules/.bin/pluggable-widgets-tools build:js",
"lint": "node --max_old_space_size=4112 ./node_modules/.bin/pluggable-widgets-tools lint",
"lint:fix": "node --max_old_space_size=4112 ./node_modules/.bin/pluggable-widgets-tools lint:fix",
"pretest": "npm run lint && npm run build",
"test-old": "pluggable-widgets-tools test:unit --no-cache --ci && npm run test:e2e",
"test": "npm run test:unit --no-cache --ci && npm run test:e2e",
"test:unit": "node --max_old_space_size=4112 ./node_modules/.bin/pluggable-widgets-tools test:unit --coverage",
"test:travis": "jest --projects ./jest.config.js && cat ./dist/coverage/lcov.info | ./node_modules/coveralls/bin/coveralls.js && rm -rf ./dist/coverage",
"test:e2e": "export URL=https://dynamictabletest-sandbox.mxapps.io/ || set URL=https://dynamictabletest-sandbox.mxapps.io/ && node --max_old_space_size=4112 ./node_modules/.bin/pluggable-widgets-tools test:e2e:ts",
"test:e2e:dev": "export DEBUG=true || set DEBUG=true && node --max_old_space_size=4112 ./node_modules/.bin/pluggable-widgets-tools test:e2e:ts",
"test:e2e:mac": "export URL=http://windows:8080/ && export DEBUG=true || set DEBUG=true && pluggable-widgets-tools test:e2e:ts",
"prerelease": "npm run lint",
"release": "node --max_old_space_size=4112 ./node_modules/.bin/pluggable-widgets-tools release:js",
"analyze": "node --max_old_space_size=4112 ./node_modules/.bin/pluggable-widgets-tools release:js --analyze"
},
"license": "Apache-2.0",
"devDependencies": {
"@mendix/pluggable-widgets-tools": "8.6.0",
"@types/big.js": "^4.0.5",
"@types/classnames": "^2.2.9",
"@types/enzyme": "^3.1.10",
"@types/enzyme-adapter-react-16": "^1.0.2",
"@types/jasmine": "^3.4.0",
"@types/jest": "^24.0.0",
"@types/lodash": "^4.14.147",
"@types/react": "^16.8.17",
"@types/react-dom": "^16.8.4",
"@types/react-resize-detector": "^4.2.0",
"@types/react-test-renderer": "^16.8.1",
"@types/uuid": "^3.4.6",
"@types/webdriverio": "^4.13.0",
"mendix-client": "^7.15.8",
"tslint": "^5.20.1",
"typescript": "^3.7.4",
"webpack-bundle-analyzer": "^3.6.0"
},
"dependencies": {
"@bem-react/classname": "^1.5.6",
"@jeltemx/mendix-react-widget-utils": "^0.3.6",
"antd": "^3.25.1",
"array-to-tree": "^3.3.0",
"big.js": "^5.2.2",
"classnames": "^2.2.6",
"core-js": "^3.4.1",
"lodash": "^4.17.15",
"mobx": "^4.13.0",
"mobx-react": "^6.1.3",
"react-mustache-template-component": "^1.0.0",
"react-resize-detector": "^4.2.1",
"uuid": "^3.4.0"
}
}
|
{
"7.4": "https://github.com/Instabug/Instabug-iOS/releases/download/7.4/InstabugCore.zip",
"7.4.1": "https://github.com/Instabug/Instabug-iOS/releases/download/7.4.1/InstabugCore.zip",
"7.5": "https://github.com/Instabug/Instabug-iOS/releases/download/7.5/InstabugCore.zip",
"7.6": "https://github.com/Instabug/Instabug-iOS/releases/download/7.6/InstabugCore.zip",
"7.6.1": "https://github.com/Instabug/Instabug-iOS/releases/download/7.6.1/InstabugCore.zip",
"7.7": "https://github.com/Instabug/Instabug-iOS/releases/download/7.7/InstabugCore.zip",
"7.7.1": "https://github.com/Instabug/Instabug-iOS/releases/download/7.7.1/InstabugCore.zip",
"7.8": "https://github.com/Instabug/Instabug-iOS/releases/download/7.8/InstabugCore.zip",
"7.8.1": "https://github.com/Instabug/Instabug-iOS/releases/download/7.8.1/InstabugCore.zip",
"7.8.2": "https://github.com/Instabug/Instabug-iOS/releases/download/7.8.2/InstabugCore.zip",
"7.8.3": "https://github.com/Instabug/Instabug-iOS/releases/download/7.8.3/InstabugCore.zip",
"7.8.4": "https://github.com/Instabug/Instabug-iOS/releases/download/7.8.4/InstabugCore.zip",
"7.9": "https://github.com/Instabug/Instabug-iOS/releases/download/7.9/InstabugCore.zip",
"7.9.1": "https://github.com/Instabug/Instabug-iOS/releases/download/7.9.1/InstabugCore.zip",
"7.9.2": "https://github.com/Instabug/Instabug-iOS/releases/download/7.9.2/InstabugCore.zip",
"7.10": "https://github.com/Instabug/Instabug-iOS/releases/download/7.10/InstabugCore.zip",
"7.10.1": "https://github.com/Instabug/Instabug-iOS/releases/download/7.10.1/InstabugCore.zip",
"7.11": "https://github.com/Instabug/Instabug-iOS/releases/download/7.11/InstabugCore.zip",
"7.11.1": "https://github.com/Instabug/Instabug-iOS/releases/download/7.11.1/InstabugCore.zip",
"7.11.2": "https://github.com/Instabug/Instabug-iOS/releases/download/7.11.2/InstabugCore.zip"
}
|
[
{"value": 6982009, "isPrime": true},
{"value": 6982021, "isPrime": true},
{"value": 6982033, "isPrime": true},
{"value": 6982049, "isPrime": true},
{"value": 6982051, "isPrime": true},
{"value": 6982057, "isPrime": true},
{"value": 6982081, "isPrime": true},
{"value": 6982093, "isPrime": true},
{"value": 6982111, "isPrime": true},
{"value": 6982147, "isPrime": true},
{"value": 6982153, "isPrime": true},
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{"value": 6982193, "isPrime": true},
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{"value": 6982219, "isPrime": true},
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{"value": 6982247, "isPrime": true},
{"value": 6982279, "isPrime": true},
{"value": 6982319, "isPrime": true},
{"value": 6982343, "isPrime": true},
{"value": 6982357, "isPrime": true},
{"value": 6982369, "isPrime": true},
{"value": 6982397, "isPrime": true},
{"value": 6982403, "isPrime": true},
{"value": 6982411, "isPrime": true},
{"value": 6982421, "isPrime": true},
{"value": 6982429, "isPrime": true},
{"value": 6982457, "isPrime": true},
{"value": 6982463, "isPrime": true},
{"value": 6982489, "isPrime": true},
{"value": 6982531, "isPrime": true},
{"value": 6982537, "isPrime": true},
{"value": 6982553, "isPrime": true},
{"value": 6982561, "isPrime": true},
{"value": 6982567, "isPrime": true},
{"value": 6982571, "isPrime": true},
{"value": 6982579, "isPrime": true},
{"value": 6982583, "isPrime": true},
{"value": 6982601, "isPrime": true},
{"value": 6982607, "isPrime": true},
{"value": 6982621, "isPrime": true},
{"value": 6982627, "isPrime": true},
{"value": 6982643, "isPrime": true},
{"value": 6982691, "isPrime": true},
{"value": 6982721, "isPrime": true},
{"value": 6982741, "isPrime": true},
{"value": 6982763, "isPrime": true},
{"value": 6982783, "isPrime": true},
{"value": 6982793, "isPrime": true},
{"value": 6982817, "isPrime": true},
{"value": 6982819, "isPrime": true},
{"value": 6982831, "isPrime": true},
{"value": 6982849, "isPrime": true},
{"value": 6982879, "isPrime": true},
{"value": 6982901, "isPrime": true},
{"value": 6982907, "isPrime": true},
{"value": 6982919, "isPrime": true},
{"value": 6982951, "isPrime": true},
{"value": 6982957, "isPrime": true},
{"value": 6982979, "isPrime": true},
{"value": 6982981, "isPrime": true},
{"value": 6982999, "isPrime": true}
]
|
{"Swedish": ["br\u00f6st", "br\u00f8st"], "Icelandic St": ["brj\u00f3st", "\u02c8b\u0325rjoust"], "L\u00ebtzebuergesch": ["Broscht", ""], "Old Swedish": ["bryst", "bryst"], "Old Norse": ["brjo\u0301st", "brjo\u02d0st"], "Dutch List": ["borst", ""], "Faroese": ["br\u00f3st", "b\u0325\u0279\u0153st"], "Breton List": ["bronn", ""], "Breton St": ["bronn", ""], "Danish": ["bryst", "\u02c8b\u0325\u0281\u0276sd\u0325"], "Welsh C": ["bron", ""], "\u00d6vdalian": ["brest", "br\u025bst"], "Norwegian": ["bryst", "b\u027e\u028fst"], "Old Breton": ["bronn", ""], "Standard German (Munich)": ["Brust", ""], "_MEANING": "breast", "Scots Gaelic": ["broilleach", ""], "Old Gutnish": ["briaust", ""], "Cornish": ["bron", ""], "Old Irish": ["bruinne", "brun\u02b9n\u02b9e"], "Gaulish": ["brunnio-", ""], "Gutnish Lau": ["braust", "braust"], "Schwyzerd\u00fctsch": ["bruscht", ""], "English": ["breast", ""], "Old English": ["bre\u0304ost", ""], "Old Welsh": ["bronn", ""], "German": ["Brust", ""], "Welsh N": ["brest", ""], "Old High German": ["brust", ""], "Gothic": ["brusts", ""], "Old Cornish": ["bron", ""], "Danish Fjolde": ["bryst", "b\u0279yst"]} |
{
"id": 857547791,
"type": "Feature",
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"addr:full":"427 Fry Creek Rd Sagle ID 83860",
"addr:housenumber":"427",
"addr:postcode":"83860",
"addr:street":"Fry Creek Rd",
"edtf:cessation":"uuuu",
"edtf:inception":"uuuu",
"geom:area":0.0,
"geom:bbox":"-116.51973,48.195903,-116.51973,48.195903",
"geom:latitude":48.195903,
"geom:longitude":-116.51973,
"iso:country":"US",
"mz:hierarchy_label":1,
"sg:address":"427 Fry Creek Rd",
"sg:city":"Sagle",
"sg:classifiers":[
{
"category":"Recreation",
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"type":"Entertainment"
}
],
"sg:owner":"simplegeo",
"sg:phone":"+1 208 255 5253",
"sg:postcode":"83860",
"sg:province":"ID",
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],
"sg:website":"www.lakependoreillecruises.com",
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"wof:placetype":"venue",
"wof:repo":"whosonfirst-data-venue-us-id",
"wof:superseded_by":[],
"wof:supersedes":[],
"wof:tags":[
"charter",
"boat"
]
},
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48.195903,
-116.51973,
48.195903
],
"geometry": {"coordinates":[-116.51973,48.195903],"type":"Point"}
} |
[
{
"url": "https://api.github.com/repos/grpc/grpc/issues/comments/217688026",
"html_url": "https://github.com/grpc/grpc/issues/6484#issuecomment-217688026",
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"user": {
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"gravatar_id": "",
"url": "https://api.github.com/users/sunwangme",
"html_url": "https://github.com/sunwangme",
"followers_url": "https://api.github.com/users/sunwangme/followers",
"following_url": "https://api.github.com/users/sunwangme/following{/other_user}",
"gists_url": "https://api.github.com/users/sunwangme/gists{/gist_id}",
"starred_url": "https://api.github.com/users/sunwangme/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/sunwangme/subscriptions",
"organizations_url": "https://api.github.com/users/sunwangme/orgs",
"repos_url": "https://api.github.com/users/sunwangme/repos",
"events_url": "https://api.github.com/users/sunwangme/events{/privacy}",
"received_events_url": "https://api.github.com/users/sunwangme/received_events",
"type": "User",
"site_admin": false
},
"created_at": "2016-05-08T03:03:11Z",
"updated_at": "2016-05-08T03:03:11Z",
"author_association": "NONE",
"body": "i got it.timer-->channel->getstate(try_connect).\nand find one bug in python's pull thread.\nthe pull thread dont reconnect after shutdown.\n\n_connectivity_channel.py\n def _poll_connectivity(self, low_channel, initial_try_to_connect):\n ......\n while True:\n low_channel.watch_connectivity_state(\n low_connectivity, time.time() + 0.2, completion_queue, None)\n event = completion_queue.next()\n with self._lock:\n if not self._callbacks_and_connectivities and not self._try_to_connect:\n self._polling = False\n self._connectivity = None\n completion_queue.shutdown()\n break\n try_to_connect = self._try_to_connect //<--------\n self._try_to_connect = False //<--------- dont reconnect after shutdown\n"
}
]
|
{
"first_traded_price": 32330.0,
"highest_price": 32945.0,
"isin": "IRT3CASF0001",
"last_traded_price": 3.28e4,
"lowest_price": 32330.0,
"trade_volume": 4510.0,
"unix_time": 1559001600
} |
{
"first_traded_price": 3280.0,
"highest_price": 3280.0,
"isin": "IRO1TKIN0001",
"last_traded_price": 3181.0,
"lowest_price": 3153.0,
"trade_volume": 26668.0,
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} |
{"parse":{"title":"User talk:Lunaria","pageid":63513,"wikitext":{"*":"{{Template:Welcome|realName=|name=Lunaria}}\n\n-- [[User:\u840c\u767e\u5a18|\u840c\u767e\u5a18]]\uff08[[User talk:\u840c\u767e\u5a18|\u8ba8\u8bba]]\uff09 2013\u5e7411\u670819\u65e5 (\u4e8c) 16:54 (CST)"}}} |
{
"Dialogue_ID": "455",
"Emotion": "surprise",
"EndTime": "00:20:23,179",
"Episode": "2",
"Season": "2",
"Sentiment": "positive",
"Speaker": "Julie",
"SrNo": "4465",
"StartTime": "00:20:21,303",
"Utterance": "Oh my god, are you kidding?",
"Utterance_ID": "7"
} |
{
"openapi": "3.0.0",
"info": {
"title": "API Gudang",
"version": "1.0.0"
},
"servers": [{
"url": "http://localhost:3000"
}],
"tags": [{
"name": "Role"
}, {
"name": "User"
}],
"paths": {
"/gudang/api/roles": {
"post": {
"tags": [
"Role"
],
"summary": "Tambah role",
"consumes": "multipart/form-data",
"requestBody": {
"required": "true",
"content": {
"application/x-www-form-urlencoded": {
"schema": {
"type": "object",
"properties": {
"namaRole": {
"type": "string",
"required": "true"
}
}
}
}
}
},
"responses": {
"200": {
"description": "Success"
},
"400": {
"description": "Bad request"
}
}
},
"get": {
"tags": [
"Role"
],
"summary": "Menampilkan daftar role",
"responses": {
"200": {
"description": "Success"
},
"404": {
"description": "Not found"
}
}
}
},
"/gudang/api/roles/{id}": {
"put": {
"tags": [
"Role"
],
"summary": "Update role",
"parameters": [{
"in": "path",
"name": "id",
"schema": {
"type": "integer"
},
"description": "id"
}],
"consumes": "multipart/form-data",
"requestBody": {
"required": "true",
"content": {
"application/x-www-form-urlencoded": {
"schema": {
"type": "object",
"properties": {
"namaRole": {
"type": "string",
"required": "true"
}
}
}
}
}
},
"responses": {
"200": {
"description": "Success"
},
"400": {
"description": "Bad request"
}
}
},
"delete": {
"tags": [
"Role"
],
"summary": "Delete role",
"parameters": [{
"in": "path",
"name": "id",
"schema": {
"type": "integer"
},
"description": "id"
}],
"responses": {
"200": {
"description": "Success"
},
"400": {
"description": "Bad request"
}
}
}
},
"/gudang/api/users/register": {
"post": {
"tags": [
"User"
],
"summary": "Registrasi user",
"consumes": "multipart/form-data",
"requestBody": {
"required": "true",
"content": {
"multipart/form-data": {
"schema": {
"type": "object",
"properties": {
"nama": {
"type": "string",
"required": "true"
},
"email": {
"type": "string",
"required": "true"
},
"password": {
"type": "string",
"required": "true"
},
"foto": {
"type": "string",
"required": "true",
"format": "binary"
},
"namaRole": {
"type": "string",
"required": "true"
}
}
}
}
}
},
"responses": {
"201": {
"description": "Created"
},
"400": {
"description": "Bad request"
}
}
}
},
"/gudang/api/users/verifikasi/{tokenVerifikasi}": {
"put": {
"tags": [
"User"
],
"summary": "Verifikasi pendaftaran",
"parameters": [{
"in": "path",
"name": "tokenVerifikasi",
"schema": {
"type": "string"
},
"description": "tokenVerifikasi"
}],
"responses": {
"200": {
"description": "Success"
},
"400": {
"description": "Bad request"
}
}
}
},
"/gudang/api/users/login": {
"post": {
"tags": [
"User"
],
"summary": "Login user",
"consumes": "multipart/form-data",
"requestBody": {
"required": "true",
"content": {
"application/x-www-form-urlencoded": {
"schema": {
"type": "object",
"properties": {
"email": {
"type": "string",
"required": "true"
},
"password": {
"type": "string",
"required": "true"
}
}
}
}
}
},
"responses": {
"200": {
"description": "Success"
},
"400": {
"description": "Bad Request"
}
}
}
},
"/gudang/api/users/lupa-password": {
"post": {
"tags": [
"User"
],
"summary": "Lupa password user",
"consumes": "multipart/form-data",
"requestBody": {
"required": "true",
"content": {
"application/x-www-form-urlencoded": {
"schema": {
"type": "object",
"properties": {
"email": {
"type": "string",
"required": "true"
}
}
}
}
}
},
"responses": {
"200": {
"description": "Success"
},
"400": {
"description": "Bad Request"
}
}
}
},
"/gudang/api/users/ubah-password/{tokenReset}": {
"put": {
"tags": [
"User"
],
"summary": "Ubah password",
"parameters": [{
"in": "path",
"name": "tokenReset",
"schema": {
"type": "string"
},
"description": "tokenReset"
}],
"requestBody": {
"required": "true",
"content": {
"application/x-www-form-urlencoded": {
"schema": {
"type": "object",
"properties": {
"password": {
"type": "string",
"required": "true"
}
}
}
}
}
},
"responses": {
"200": {
"description": "Success"
},
"400": {
"description": "Bad request"
}
}
}
},
"/gudang/api/users": {
"get": {
"tags": [
"User"
],
"summary": "Menampilkan daftar user",
"responses": {
"200": {
"description": "Success"
},
"404": {
"description": "Not found"
}
}
}
},
"/gudang/api/users/{id}": {
"get": {
"tags": [
"User"
],
"summary": "Menampilkan daftar user berdasarkan id",
"parameters": [{
"in": "path",
"name": "id",
"schema": {
"type": "integer"
},
"description": "id"
}],
"responses": {
"200": {
"description": "Success"
},
"404": {
"description": "Error:Not Found"
}
}
},
"delete": {
"tags": [
"User"
],
"summary": "Menghapus data user berdasarkan id",
"parameters": [{
"in": "path",
"name": "id",
"schema": {
"type": "integer"
},
"description": "id"
}],
"responses": {
"200": {
"description": "Success"
}
}
}
}
},
"components": {
"securitySchemes": {
"MyUserToken": {
"name": "token",
"type": "apiKey",
"in": "header"
}
}
}
} |
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{
"first_traded_price": 899.0,
"highest_price": 901.0,
"isin": "IRO1MARK0001",
"last_traded_price": 901.0,
"lowest_price": 880.0,
"trade_volume": 16125556.0,
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} |
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{
"order": "71281"
,"word": "condenses"
,"count": "18"
}
|
{"Mount_Vernon": {"2017 Bronx apartment fire": "On December 28, 2017, a five-alarm fire broke out in a five-story apartment building in the Belmont neighborhood of the Bronx, New York City. It killed twelve people and injured six, four of them critically. Three children were among the dead."}} |
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{"textgrid.poem.64895": {"metadata": {"author": {"name": "Paoli, Betty", "birth": "N.A.", "death": "N.A."}, "title": "1L: Ich kann, was ich mu\u00df! o seltnes Geschick!", "genre": "verse", "period": "N.A.", "pub_year": 1854, "urn": "N.A.", "language": ["de:0.99"], "booktitle": "N.A."}, "text": null, "poem": {"stanza.1": {"line.1": {"text": "Ich kann, was ich mu\u00df! o seltnes Geschick!", "tokens": ["Ich", "kann", ",", "was", "ich", "mu\u00df", "!", "o", "selt\u00b7nes", "Ge\u00b7schick", "!"], "token_info": ["word", "word", "punct", "word", "word", "word", "punct", "word", "word", "word", "punct"], "pos": ["PPER", "VMFIN", "$,", "PWS", "PPER", "VMFIN", "$.", "FM", "ADJA", "NN", "$."], "meter": "-+--+-+--+", "measure": "iambic.tetra.relaxed"}, "line.2": {"text": "Ich will, was ich mu\u00df \u2013 \u2013 o doppeltes Gl\u00fcck.", "tokens": ["Ich", "will", ",", "was", "ich", "mu\u00df", "\u2013", "\u2013", "o", "dop\u00b7pel\u00b7tes", "Gl\u00fcck", "."], "token_info": ["word", "word", "punct", "word", "word", "word", "punct", "punct", "word", "word", "word", "punct"], "pos": ["PPER", "VMFIN", "$,", "PWS", "PPER", "VMFIN", "$(", "$(", "FM", "ADJA", "NN", "$."], "meter": "-+--+--+-+", "measure": "amphibrach.tri.plus"}}, "stanza.2": {"line.1": {"text": "Mein Herz ist an St\u00e4rke dem Felsen gleich,", "tokens": ["Mein", "Herz", "ist", "an", "St\u00e4r\u00b7ke", "dem", "Fel\u00b7sen", "gleich", ","], "token_info": ["word", "word", "word", "word", "word", "word", "word", "word", "punct"], "pos": ["PPOSAT", "NN", "VAFIN", "APPR", "NN", "ART", "NN", "ADV", "$,"], "meter": "-+--+--+-+", "measure": "amphibrach.tri.plus"}, "line.2": {"text": "Mein Herz ist, wie Blumen, sanft und weich.", "tokens": ["Mein", "Herz", "ist", ",", "wie", "Blu\u00b7men", ",", "sanft", "und", "weich", "."], "token_info": ["word", "word", "word", "punct", "word", "word", "punct", "word", "word", "word", "punct"], "pos": ["PPOSAT", "NN", "VAFIN", "$,", "PWAV", "NN", "$,", "ADJD", "KON", "ADJD", "$."], "meter": "-+--+-+-+", "measure": "iambic.tetra.relaxed"}}, "stanza.3": {"line.1": {"text": "Mein Wesen gleicht Glocken von strengem Metall:", "tokens": ["Mein", "We\u00b7sen", "gleicht", "Glo\u00b7cken", "von", "stren\u00b7gem", "Me\u00b7tall", ":"], "token_info": ["word", "word", "word", "word", "word", "word", "word", "punct"], "pos": ["PPOSAT", "NN", "VVFIN", "NN", "APPR", "ADJA", "NN", "$."], "meter": "-+--+--+--+", "measure": "amphibrach.tetra"}, "line.2": {"text": "Schlag kr\u00e4ftig d'ran, gibt es auch kr\u00e4ftigen Schall.", "tokens": ["Schlag", "kr\u00e4f\u00b7tig", "d'\u00b7ran", ",", "gibt", "es", "auch", "kr\u00e4f\u00b7ti\u00b7gen", "Schall", "."], "token_info": ["word", "word", "word", "punct", "word", "word", "word", "word", "word", "punct"], "pos": ["NN", "ADJD", "PTKVZ", "$,", "VVFIN", "PPER", "ADV", "ADJA", "NN", "$."], "meter": "+--+-+--+--+", "measure": "iambic.penta.invert"}}, "stanza.4": {"line.1": {"text": "Mein Geist st\u00fcrmt auf eiligem Wolkenro\u00df hin;", "tokens": ["Mein", "Geist", "st\u00fcrmt", "auf", "ei\u00b7li\u00b7gem", "Wol\u00b7ken\u00b7ro\u00df", "hin", ";"], "token_info": ["word", "word", "word", "word", "word", "word", "word", "punct"], "pos": ["PPOSAT", "NN", "VVFIN", "APPR", "ADJA", "NN", "PTKVZ", "$."], "meter": "-+--+--+-++", "measure": "amphibrach.tri.plus"}, "line.2": {"text": "Mein Geist spielt mit Kindern mit kindlichem Sinn.", "tokens": ["Mein", "Geist", "spielt", "mit", "Kin\u00b7dern", "mit", "kind\u00b7li\u00b7chem", "Sinn", "."], "token_info": ["word", "word", "word", "word", "word", "word", "word", "word", "punct"], "pos": ["PPOSAT", "NN", "VVFIN", "APPR", "NN", "APPR", "ADJA", "NN", "$."], "meter": "-+--+--+--+", "measure": "amphibrach.tetra"}}, "stanza.5": {"line.1": {"text": "Ich wei\u00df, was ich will! und weil ich es wei\u00df,", "tokens": ["Ich", "wei\u00df", ",", "was", "ich", "will", "!", "und", "weil", "ich", "es", "wei\u00df", ","], "token_info": ["word", "word", "punct", "word", "word", "word", "punct", "word", "word", "word", "word", "word", "punct"], "pos": ["PPER", "VVFIN", "$,", "PWS", "PPER", "VMFIN", "$.", "KON", "KOUS", "PPER", "PPER", "VVFIN", "$,"], "meter": "-+-+-+-+-+", "measure": "iambic.penta"}, "line.2": {"text": "Drum bann' ich's zu mir in den magischen Kreis.", "tokens": ["Drum", "bann'", "ich's", "zu", "mir", "in", "den", "ma\u00b7gi\u00b7schen", "Kreis", "."], "token_info": ["word", "word", "word", "word", "word", "word", "word", "word", "word", "punct"], "pos": ["PAV", "VVFIN", "PIS", "APPR", "PPER", "APPR", "ART", "ADJA", "NN", "$."], "meter": "-+--+--+--+", "measure": "amphibrach.tetra"}}, "stanza.6": {"line.1": {"text": "Ich wei\u00df, was ich will! das ist ja die Kraft,", "tokens": ["Ich", "wei\u00df", ",", "was", "ich", "will", "!", "das", "ist", "ja", "die", "Kraft", ","], "token_info": ["word", "word", "punct", "word", "word", "word", "punct", "word", "word", "word", "word", "word", "punct"], "pos": ["PPER", "VVFIN", "$,", "PWS", "PPER", "VMFIN", "$.", "PDS", "VAFIN", "ADV", "ART", "NN", "$,"], "meter": "-+--+-+--+", "measure": "iambic.tetra.relaxed"}, "line.2": {"text": "Die sich aus dem Chaos ein Weltall entrafft.", "tokens": ["Die", "sich", "aus", "dem", "Chaos", "ein", "Wel\u00b7tall", "en\u00b7trafft", "."], "token_info": ["word", "word", "word", "word", "word", "word", "word", "word", "punct"], "pos": ["ART", "PRF", "APPR", "ART", "NN", "ART", "NN", "VVFIN", "$."], "meter": "-+--+-++-+", "measure": "iambic.penta.relaxed"}}, "stanza.7": {"line.1": {"text": "Ich wei\u00df, was ich will! und wenn ich's erreich',", "tokens": ["Ich", "wei\u00df", ",", "was", "ich", "will", "!", "und", "wenn", "ich's", "er\u00b7reich'", ","], "token_info": ["word", "word", "punct", "word", "word", "word", "punct", "word", "word", "word", "word", "punct"], "pos": ["PPER", "VVFIN", "$,", "PWS", "PPER", "VMFIN", "$.", "KON", "KOUS", "PIS", "VVFIN", "$,"], "meter": "-+--+-+--+", "measure": "iambic.tetra.relaxed"}, "line.2": {"text": "Dann gelten der Tod und das Leben mir gleich.", "tokens": ["Dann", "gel\u00b7ten", "der", "Tod", "und", "das", "Le\u00b7ben", "mir", "gleich", "."], "token_info": ["word", "word", "word", "word", "word", "word", "word", "word", "word", "punct"], "pos": ["ADV", "VVFIN", "ART", "NN", "KON", "ART", "NN", "PPER", "ADV", "$."], "meter": "-+--+--+--+", "measure": "amphibrach.tetra"}}, "stanza.8": {"line.1": {"text": "Ich kann, was ich mu\u00df! o seltnes Geschick!", "tokens": ["Ich", "kann", ",", "was", "ich", "mu\u00df", "!", "o", "selt\u00b7nes", "Ge\u00b7schick", "!"], "token_info": ["word", "word", "punct", "word", "word", "word", "punct", "word", "word", "word", "punct"], "pos": ["PPER", "VMFIN", "$,", "PWS", "PPER", "VMFIN", "$.", "FM", "ADJA", "NN", "$."], "meter": "-+--+-+--+", "measure": "iambic.tetra.relaxed"}, "line.2": {"text": "Ich will, was ich mu\u00df \u2013 \u2013 o doppeltes Gl\u00fcck.", "tokens": ["Ich", "will", ",", "was", "ich", "mu\u00df", "\u2013", "\u2013", "o", "dop\u00b7pel\u00b7tes", "Gl\u00fcck", "."], "token_info": ["word", "word", "punct", "word", "word", "word", "punct", "punct", "word", "word", "word", "punct"], "pos": ["PPER", "VMFIN", "$,", "PWS", "PPER", "VMFIN", "$(", "$(", "FM", "ADJA", "NN", "$."], "meter": "-+--+--+-+", "measure": "amphibrach.tri.plus"}}, "stanza.9": {"line.1": {"text": "Mein Herz ist an St\u00e4rke dem Felsen gleich,", "tokens": ["Mein", "Herz", "ist", "an", "St\u00e4r\u00b7ke", "dem", "Fel\u00b7sen", "gleich", ","], "token_info": ["word", "word", "word", "word", "word", "word", "word", "word", "punct"], "pos": ["PPOSAT", "NN", "VAFIN", "APPR", "NN", "ART", "NN", "ADV", "$,"], "meter": "-+--+--+-+", "measure": "amphibrach.tri.plus"}, "line.2": {"text": "Mein Herz ist, wie Blumen, sanft und weich.", "tokens": ["Mein", "Herz", "ist", ",", "wie", "Blu\u00b7men", ",", "sanft", "und", "weich", "."], "token_info": ["word", "word", "word", "punct", "word", "word", "punct", "word", "word", "word", "punct"], "pos": ["PPOSAT", "NN", "VAFIN", "$,", "PWAV", "NN", "$,", "ADJD", "KON", "ADJD", "$."], "meter": "-+--+-+-+", "measure": "iambic.tetra.relaxed"}}, "stanza.10": {"line.1": {"text": "Mein Wesen gleicht Glocken von strengem Metall:", "tokens": ["Mein", "We\u00b7sen", "gleicht", "Glo\u00b7cken", "von", "stren\u00b7gem", "Me\u00b7tall", ":"], "token_info": ["word", "word", "word", "word", "word", "word", "word", "punct"], "pos": ["PPOSAT", "NN", "VVFIN", "NN", "APPR", "ADJA", "NN", "$."], "meter": "-+--+--+--+", "measure": "amphibrach.tetra"}, "line.2": {"text": "Schlag kr\u00e4ftig d'ran, gibt es auch kr\u00e4ftigen Schall.", "tokens": ["Schlag", "kr\u00e4f\u00b7tig", "d'\u00b7ran", ",", "gibt", "es", "auch", "kr\u00e4f\u00b7ti\u00b7gen", "Schall", "."], "token_info": ["word", "word", "word", "punct", "word", "word", "word", "word", "word", "punct"], "pos": ["NN", "ADJD", "PTKVZ", "$,", "VVFIN", "PPER", "ADV", "ADJA", "NN", "$."], "meter": "+--+-+--+--+", "measure": "iambic.penta.invert"}}, "stanza.11": {"line.1": {"text": "Mein Geist st\u00fcrmt auf eiligem Wolkenro\u00df hin;", "tokens": ["Mein", "Geist", "st\u00fcrmt", "auf", "ei\u00b7li\u00b7gem", "Wol\u00b7ken\u00b7ro\u00df", "hin", ";"], "token_info": ["word", "word", "word", "word", "word", "word", "word", "punct"], "pos": ["PPOSAT", "NN", "VVFIN", "APPR", "ADJA", "NN", "PTKVZ", "$."], "meter": "-+--+--+-++", "measure": "amphibrach.tri.plus"}, "line.2": {"text": "Mein Geist spielt mit Kindern mit kindlichem Sinn.", "tokens": ["Mein", "Geist", "spielt", "mit", "Kin\u00b7dern", "mit", "kind\u00b7li\u00b7chem", "Sinn", "."], "token_info": ["word", "word", "word", "word", "word", "word", "word", "word", "punct"], "pos": ["PPOSAT", "NN", "VVFIN", "APPR", "NN", "APPR", "ADJA", "NN", "$."], "meter": "-+--+--+--+", "measure": "amphibrach.tetra"}}, "stanza.12": {"line.1": {"text": "Ich wei\u00df, was ich will! und weil ich es wei\u00df,", "tokens": ["Ich", "wei\u00df", ",", "was", "ich", "will", "!", "und", "weil", "ich", "es", "wei\u00df", ","], "token_info": ["word", "word", "punct", "word", "word", "word", "punct", "word", "word", "word", "word", "word", "punct"], "pos": ["PPER", "VVFIN", "$,", "PWS", "PPER", "VMFIN", "$.", "KON", "KOUS", "PPER", "PPER", "VVFIN", "$,"], "meter": "-+-+-+-+-+", "measure": "iambic.penta"}, "line.2": {"text": "Drum bann' ich's zu mir in den magischen Kreis.", "tokens": ["Drum", "bann'", "ich's", "zu", "mir", "in", "den", "ma\u00b7gi\u00b7schen", "Kreis", "."], "token_info": ["word", "word", "word", "word", "word", "word", "word", "word", "word", "punct"], "pos": ["PAV", "VVFIN", "PIS", "APPR", "PPER", "APPR", "ART", "ADJA", "NN", "$."], "meter": "-+--+--+--+", "measure": "amphibrach.tetra"}}, "stanza.13": {"line.1": {"text": "Ich wei\u00df, was ich will! das ist ja die Kraft,", "tokens": ["Ich", "wei\u00df", ",", "was", "ich", "will", "!", "das", "ist", "ja", "die", "Kraft", ","], "token_info": ["word", "word", "punct", "word", "word", "word", "punct", "word", "word", "word", "word", "word", "punct"], "pos": ["PPER", "VVFIN", "$,", "PWS", "PPER", "VMFIN", "$.", "PDS", "VAFIN", "ADV", "ART", "NN", "$,"], "meter": "-+--+-+--+", "measure": "iambic.tetra.relaxed"}, "line.2": {"text": "Die sich aus dem Chaos ein Weltall entrafft.", "tokens": ["Die", "sich", "aus", "dem", "Chaos", "ein", "Wel\u00b7tall", "en\u00b7trafft", "."], "token_info": ["word", "word", "word", "word", "word", "word", "word", "word", "punct"], "pos": ["ART", "PRF", "APPR", "ART", "NN", "ART", "NN", "VVFIN", "$."], "meter": "-+--+-++-+", "measure": "iambic.penta.relaxed"}}, "stanza.14": {"line.1": {"text": "Ich wei\u00df, was ich will! und wenn ich's erreich',", "tokens": ["Ich", "wei\u00df", ",", "was", "ich", "will", "!", "und", "wenn", "ich's", "er\u00b7reich'", ","], "token_info": ["word", "word", "punct", "word", "word", "word", "punct", "word", "word", "word", "word", "punct"], "pos": ["PPER", "VVFIN", "$,", "PWS", "PPER", "VMFIN", "$.", "KON", "KOUS", "PIS", "VVFIN", "$,"], "meter": "-+--+-+--+", "measure": "iambic.tetra.relaxed"}, "line.2": {"text": "Dann gelten der Tod und das Leben mir gleich.", "tokens": ["Dann", "gel\u00b7ten", "der", "Tod", "und", "das", "Le\u00b7ben", "mir", "gleich", "."], "token_info": ["word", "word", "word", "word", "word", "word", "word", "word", "word", "punct"], "pos": ["ADV", "VVFIN", "ART", "NN", "KON", "ART", "NN", "PPER", "ADV", "$."], "meter": "-+--+--+--+", "measure": "amphibrach.tetra"}}}}} |
{"title":"Panayiotis Toundas - I & IV (Greek Music)@flac","uid":5668317,"size":601929974,"categoryP":"audio","categoryS":"flac","magnet":"?xt=urn:btih:eea1a0039ecb51cc6b3dd497bd614b0ed623ed77&dn=Panayiotis+Toundas+-+I+%26+IV+%28Greek+Music%29%40flac&tr=udp%3A%2F%2Ftracker.openbittorrent.com%3A80&tr=udp%3A%2F%2Fopen.demonii.com%3A1337&tr=udp%3A%2F%2Ftracker.coppersurfer.tk%3A6969&tr=udp%3A%2F%2Fexodus.desync.com%3A6969","seeders":0,"leechers":2,"uploader":"alekow1","files":50,"time":1278233476,"description":"\nPanayiotis Toundas was born in Smyrna in 1885/1886. His family were fairly wealthy. From an early age he learned to play the Mandolin, as well as other instruments. Around the turn of the century he joined "The Politakia" - a Smyrna ensemble run by Sideras. He worked alongside the greatest musicians in Asia Minor including Ogdhondakis, Papasoglu and Spiros Peristeris.\n\nToundas started to compose songs from around 1910. Many of his songs were recorded and became hits prior to 1922, and he was instrumental in defining the Smyrnaic sound. He also toured extensively in Egypt, Africa and Europe. He came to Athens in 1923 and lived in the Nea Smyrni area.\n\nAt first Toundas worked as a Mandolin player in Taverns but in 1924 he became a director of ODEON record company. His first composition to appear on 78RPM in Greece was "Smyrnia" in 1924 sung by the tenor Misailidi. Toundas' compositions became very popular and were leased to all the foreign record labels.\n\nIn 1929, Toundas discovered Roza Eskenazi singing in TSITSIFIES and he arranged for Roza to record some sides, kick starting her recording career. They continued to work together successfully throughout the 1930s.\n\nIn 1931, Toundas became director of the Columbia label. His songs continued to be amongst the most popular and he worked with the greatest musicians and singers of the day. From 1934, Toundas began to use bouzouki and baglama in recordings of songs. He continued his illustrious career through to 1941 when the Germans entered Athens.\n\nToundas died on 23 May 1942 in his house in Nea Smyrni. He was survived by his wife and one daughter, but I don't know if he has surviving descendants today.\n\nToundas ongoing popularity is shown not only in the ongoing re-releases of his orginal recordings, but also in the esteem in which he is held by Greek musicians today. His songs have been re-recorded by Alexiou, Glykeria, Dalaras etc.\n\nWhen interviewed in 1972, Roza said that Toundas was the greatest composer of them all and she acknowledged his part in her story "If it weren't for Tountas, there would be no 'legendary Roza'". (wiki.phantis.com)\n\n\n\n\n\n\nPanayiotis Toundas I\n----------------------------------------------------------------------------------------------------\n01. Kostas Roukounas - To Koukli Tis Kokkinias\n02. Marika Politissa - Pasalimaniotissa\n03. Roza Eskenazu - Lili I Skandaliara\n04. Rita Ampatzi - Me Zournades Me Ntaoulia\n05. Kostas Roukounas - I Marika I Daskala\n06. Marika Politissa - Prigkipiotissa\n07. Kostas Roukounas - Alanis Manas Gios\n08. Rita Ampatzi - Gia Tin Agapi Sou\n09. Rita Ampatzi - I Gkarsona\n10. Roza Eskenazu - Giati Foumaro KokaÀni\n11. Roza Eskenazu - Magissa Kakia\n12. Kostas Nouros - O Varkaris\n13. Rita Ampatzi - Tourkolimaniotissa Glukeia\n14. Roza Eskenazu - Alithini Agapi\n15. Kostas Roukounas - Stous Podarades\n16. Kostas Tsanakos - Krasopino\n17. Roza Eskenazu - Ginomai Antras\n18. Giorgos Vidalis, Valeris - Prosfugopoula\n\n\n\nPanayiotis Toundas IV\n----------------------------------------------------------------------------------------------------\n01. Kostas Roukounas - Kouventa Me To Haro\n02. Stellakis Perpiniadis - Ego Thelo Prigkipessa\n03. Rita Ampatzi, Zaharias Kasimatis - Aeroplano tha paro\n04. Kostas Roukounas - Nina\n05. Stellakis Perpiniadis - Ferte Preza Na Prezaro\n06. Stellakis Perpiniadis - Hathika Trelathika\n07. Mario Markopoulou (Salonikia) - Loula Mou Athinoula Mou\n08. Mario Markopoulou (Salonikia) - Gia Mia Hira\n09. Mario Markopoulou (Salonikia) - Ah Vre Thalassa Kakourga\n10. Kostas Nouros - Stou Suggrou\n11. Kostas Nouros - Ta Matia Tis Smurnias\n12. Kostas Roukounas - Ergatis\n13. Kostas Nouros - Katinaki Filise Me\n14. Roza Eskenazu - I Hasiklou\n15. Kostas Roukounas - E Re Ntounia Prodoti\n16. Kakia Mendri - To Marianthaki\n17. Kostas Roukounas - Ela Stin Kamara Mou\n18. Rita Ampatzi - Ftoheia Mazi Me Tin Timi\n19. Roza Eskenazu - Ston Leventi Mas Tzim Lonto\n\n\n\nLabel: Minos-EMI\nReleased: 1999\n\n\n\nCodec: Flac\nCompression Level: 5\nQuality: High\n\n\nCD-rips by alekow (EAC and Flac)\nCovers Included (400dpi)\n\n\n\n\n\n\n\nEnjoy, Seed and Share\n","torrent":{"xt":"urn:btih:eea1a0039ecb51cc6b3dd497bd614b0ed623ed77","amp;dn":"Panayiotis+Toundas+-+I+%26+IV+%28Greek+Music%29%40flac","amp;tr":["udp%3A%2F%2Ftracker.openbittorrent.com%3A80","udp%3A%2F%2Fopen.demonii.com%3A1337","udp%3A%2F%2Ftracker.coppersurfer.tk%3A6969","udp%3A%2F%2Fexodus.desync.com%3A6969"],"infoHash":"eea1a0039ecb51cc6b3dd497bd614b0ed623ed77","infoHashBuffer":{"type":"Buffer","data":[238,161,160,3,158,203,81,204,107,61,212,151,189,97,75,14,214,35,237,119]},"announce":[],"urlList":[]}} |
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{
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},
"repository": {
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},
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|
{
"title": "Harivet",
"tags": [
"Vegetarian Restaurant"
],
"typeOfFood": "\n Lacto, Ovo, Ecuadorian\n ",
"description": "Vegetarian eatery offering non-GMO bread plus coconuts, natural yogurt. Uses eggs. Offers a daily dish. Soup and drinks cost extra.",
"priceRange": "Inexpensive",
"streetAddress": "gral. foch E4-181 y Amazonas",
"phone": "tel:022555307",
"venueHours": "\n \n Mon-Sun 6:00am-7:00pm\n ",
"listingFeatures": [],
"gmaps": "http://maps.googleapis.com/maps/api/staticmap?center=-0.201047,-78.492339&zoom=15&size=458x118&maptype=roadmap&markers=icon:http%3A%2F%2Fgoo.gl%2F1RDrbh%7Cshadow:true%7C-0.201047,-78.492339&sensor=false&key=AIzaSyBrIo4v01Yet3zb6VunVdenxRtXWFnwfxk"
} |
{
"name": "mithril-tk",
"version": "0.0.11",
"description": "A style agnostic user interface toolkit built from the mithril framework.",
"main": "index.js",
"scripts": {
"test": "echo \"Error: no test specified\" && exit 1"
},
"repository": {
"type": "git",
"url": "git+https://github.com/driverjb/mithril-tk.git"
},
"keywords": [],
"author": "Joel Driver",
"license": "MIT",
"bugs": {
"url": "https://github.com/driverjb/mithril-tk/issues"
},
"homepage": "https://github.com/driverjb/mithril-tk#readme",
"peerDependencies": {
"mithril": "^2.0.4"
}
}
|
{"@context": "http://schema.org", "@type": "Movie", "url": "/title/tt1038686/", "name": "Legion", "image": "https://m.media-amazon.com/images/M/MV5BMTMzNDg4NjYxOV5BMl5BanBnXkFtZTcwODQyNDg3Mg@@._V1_.jpg", "genre": ["Action", "Fantasy", "Horror"], "contentRating": "R", "actor": [{"@type": "Person", "url": "/name/nm0079273/", "name": "Paul Bettany"}, {"@type": "Person", "url": "/name/nm0000598/", "name": "Dennis Quaid"}, {"@type": "Person", "url": "/name/nm0001165/", "name": "Charles S. Dutton"}, {"@type": "Person", "url": "/name/nm0085407/", "name": "Lucas Black"}], "director": {"@type": "Person", "url": "/name/nm0829820/", "name": "Scott Stewart"}, "creator": [{"@type": "Person", "url": "/name/nm0076412/", "name": "Peter Schink"}, {"@type": "Person", "url": "/name/nm0829820/", "name": "Scott Stewart"}, {"@type": "Organization", "url": "/company/co0010568/"}, {"@type": "Organization", "url": "/company/co0135575/"}], "description": "Legion is a movie starring Paul Bettany, Dennis Quaid, and Charles S. Dutton. When a group of strangers at a dusty roadside diner come under attack by demonic forces, their only chance for survival lies with an archangel named...", "datePublished": "2010-01-21", "keywords": "angel,apocalypse,religious faith,human race,faith", "aggregateRating": {"@type": "AggregateRating", "ratingCount": 100641, "bestRating": "10.0", "worstRating": "1.0", "ratingValue": "5.3"}, "review": {"@type": "Review", "itemReviewed": {"@type": "CreativeWork", "url": "/title/tt1038686/"}, "author": {"@type": "Person", "name": "bowmanblue"}, "dateCreated": "2018-09-03", "inLanguage": "English", "name": "Such a guilty pleasure flick", "reviewBody": "If you were to ask me, 'Is Legion a good film?' I would have to reply a resounding 'No.' However, that flies (like an angel?) in the face of the fact that I originally hired it, then bought it on DVD and have subsequently watched it a few times since. What can I say... I clearly have little taste in films! Sometimes you don't want DeNiro's excellent acting ability, or Christopher Nolan's tales of head-scratching, mind-bending concepts. You'll even forfeit decent dialogue and little character development for simple shooting monsters with big guns. And this is what you get right here.\n\nBasically, God himself is disillusioned with the human race and decides it's time to get rid of them (and kill a baby while he's at it). However, God's top angel (played by Paul Bettany) says 'No way!' and decides to save this special child and, while he's at it, all of us mortals. Now, if this sounds like a feat that couldn't possibly be crammed into just an hour and a half, it all takes place in a restaurant by a freeway in the middle of the desert. Our - sort of - winged hero has to help a band of human survivors fend off wave after wave of (fallen?) angels until the child is born.\n\nIt's basically a 'siege' movie. Think 'Assault on Precinct 13' but with monsters attacking those held up in a small, barricaded dwelling. There's nothing more grandiose than that, so if that's the sort of low-brow film you want to watch at the end of a long day's work then you should get what you're looking for. There's plenty of action and shoot-outs and for what it is it's not bad. Just don't go expecting anything too deep and dramatic and you won't be disappointed. Oh and Dennis Quaid is also in it - he tries to act his best with the script he's been given and occasionally comes close to succeeding. But then another battle comes along and you end up losing another extra in a hideous way possible.\n\nIt's not amazing, but then I don't think it ever tries to be. Know what it is and keep your expectations low. Don't worry, there's plenty of time to check your smartphone during the lulls in the action. You won't miss a thing.", "reviewRating": {"@type": "Rating", "worstRating": "1", "bestRating": "10", "ratingValue": "7"}}, "duration": "PT1H40M", "trailer": {"@type": "VideoObject", "name": "Legion: Thanksgiving Clip", "embedUrl": "/video/imdb/vi3208906009", "thumbnail": {"@type": "ImageObject", "contentUrl": "https://m.media-amazon.com/images/M/MV5BMTQxNTY2MzA0Ml5BMl5BanBnXkFtZTgwOTE1MTczMzE@._V1_.jpg"}, "thumbnailUrl": "https://m.media-amazon.com/images/M/MV5BMTQxNTY2MzA0Ml5BMl5BanBnXkFtZTgwOTE1MTczMzE@._V1_.jpg", "description": "A holiday-themed clip from the movie Legion", "uploadDate": "2009-11-25T16:31:24Z"}, "cast_and_character": [{"actor": {"@type": "Person", "url": "/name/nm0079273/?ref_=tt_cl_t1", "name": "Paul Bettany"}, "character_and_episodes": [{"url": "/title/tt1038686/characters/nm0079273?ref_=tt_cl_t1", "name": "Michael"}]}, {"actor": {"@type": "Person", "url": "/name/nm0879085/?ref_=tt_cl_t3", "name": "Tyrese Gibson"}, "character_and_episodes": [{"url": "/title/tt1038686/characters/nm0879085?ref_=tt_cl_t3", "name": "Kyle Williams"}]}, {"actor": {"@type": "Person", "url": "/name/nm0001165/?ref_=tt_cl_t5", "name": "Charles S. Dutton"}, "character_and_episodes": [{"url": "/title/tt1038686/characters/nm0001165?ref_=tt_cl_t5", "name": "Percy Walker"}]}, {"actor": {"@type": "Person", "url": "/name/nm0243806/?ref_=tt_cl_t7", "name": "Kevin Durand"}, "character_and_episodes": [{"url": "/title/tt1038686/characters/nm0243806?ref_=tt_cl_t7", "name": "Gabriel"}]}, {"actor": {"@type": "Person", "url": "/name/nm0005532/?ref_=tt_cl_t9", "name": "Kate Walsh"}, "character_and_episodes": [{"url": "/title/tt1038686/characters/nm0005532?ref_=tt_cl_t9", "name": "Sandra Anderson"}]}, {"actor": {"@type": "Person", "url": "/name/nm0588563/?ref_=tt_cl_t11", "name": "Jeanette Miller"}, "character_and_episodes": [{"url": "/title/tt1038686/characters/nm0588563?ref_=tt_cl_t11", "name": "Gladys Foster"}]}, {"actor": {"@type": "Person", "url": "/name/nm0427964/?ref_=tt_cl_t13", "name": "Doug Jones"}, "character_and_episodes": [{"url": "/title/tt1038686/characters/nm0427964?ref_=tt_cl_t13", "name": "Ice Cream Man"}]}, {"actor": {"@type": "Person", "url": "/name/nm0034733/?ref_=tt_cl_t15", "name": "Yancey Arias"}, "character_and_episodes": [{"url": "/title/tt1038686/characters/nm0034733?ref_=tt_cl_t15", "name": "Estevez"}]}, {"actor": {"@type": "Person", "url": "/name/nm0085407/?ref_=tt_cl_t2", "name": "Lucas Black"}, "character_and_episodes": [{"url": "/title/tt1038686/characters/nm0085407?ref_=tt_cl_t2", "name": "Jeep Hanson"}]}, {"actor": {"@type": "Person", "url": "/name/nm1597316/?ref_=tt_cl_t4", "name": "Adrianne Palicki"}, "character_and_episodes": [{"url": "/title/tt1038686/characters/nm1597316?ref_=tt_cl_t4", "name": "Charlie"}]}, {"actor": {"@type": "Person", "url": "/name/nm0855103/?ref_=tt_cl_t6", "name": "Jon Tenney"}, "character_and_episodes": [{"url": "/title/tt1038686/characters/nm0855103?ref_=tt_cl_t6", "name": "Howard Anderson"}]}, {"actor": {"@type": "Person", "url": "/name/nm1473267/?ref_=tt_cl_t8", "name": "Willa Holland"}, "character_and_episodes": [{"url": "/title/tt1038686/characters/nm1473267?ref_=tt_cl_t8", "name": "Audrey Anderson"}]}, {"actor": {"@type": "Person", "url": "/name/nm0000598/?ref_=tt_cl_t10", "name": "Dennis Quaid"}, "character_and_episodes": [{"url": "/title/tt1038686/characters/nm0000598?ref_=tt_cl_t10", "name": "Bob Hanson"}]}, {"actor": {"@type": "Person", "url": "/name/nm3752266/?ref_=tt_cl_t12", "name": "Cameron Harlow"}, "character_and_episodes": [{"url": "/title/tt1038686/characters/nm3752266?ref_=tt_cl_t12", "name": "Minivan Boy"}]}, {"actor": {"@type": "Person", "url": "/name/nm0821817/?ref_=tt_cl_t14", "name": "Josh Stamberg"}, "character_and_episodes": [{"url": "/title/tt1038686/characters/nm0821817?ref_=tt_cl_t14", "name": "Burton"}]}], "details": {"Country": ["USA"], "Language": ["English"], "Release Date": ["22 January 2010 (USA)"], "Also Known As": ["Legion"], "Filming Locations": ["New Mexico, USA"], "Budget": ["$26,000,000", "(estimated)"], "Opening Weekend USA": ["$17,501,625,", "24 January 2010"], "Gross USA": ["$40,168,080"], "Cumulative Worldwide Gross": ["$67,918,658"], "Production Co": ["Screen Gems", "Bold Films"], "Runtime": ["100 min"], "Sound Mix": ["Dolby Digital", "DTS", "SDDS"], "Aspect Ratio": ["2.35 : 1"]}} |
{
"first_traded_price": 9.4e5,
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{"parse":{"title":"User talk:Digid","pageid":64223,"wikitext":{"*":"{{Template:Welcome|realName=|name=Digid}}\n\n-- [[User:\u840c\u767e\u5a18|\u840c\u767e\u5a18]]\uff08[[User talk:\u840c\u767e\u5a18|\u8ba8\u8bba]]\uff09 2013\u5e7411\u670830\u65e5 (\u516d) 03:22 (CST)"}}} |
{
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