<|start_filename|>Machine_Learning_by_Tutorials/Chapter03_Training_the_Image_Classifier/MultiSnacks.mlproj/Data Sources/val.json<|end_filename|>
{"createdDate":"2020-05-09 09:30:08","id":"D12CBD4C-2433-43D1-9E65-B7868609B312","modifiedDate":"2020-05-09 09:30:08","title":"val","dataResult":{"dataURL":"file:\/\/\/Users\/geunseong-gai\/Desktop\/03-training-the-classifier\/dataset\/snacks\/val\/"},"preferredFilename":"val","version":"1.0","pathType":0,"experimentIDs":["8F8FEB57-DBDD-4B6F-AEBC-EAE95F0A250B"]}

<|start_filename|>Tutorials/iOS_Unit_Testing_and_UI_Testing_Tutorial/HalfTunes/HalfTunesFakeTests/abbaData.json<|end_filename|>



{
 "resultCount":3,
 "results": [
{"wrapperType":"track", "kind":"song", "artistId":372976, "collectionId":1422648512, "trackId":1422648513, "artistName":"ABBA", "collectionName":"Gold: Greatest Hits", "trackName":"Dancing Queen", "collectionCensoredName":"Gold: Greatest Hits", "trackCensoredName":"Dancing Queen", "artistViewUrl":"https://itunes.apple.com/us/artist/abba/372976?uo=4", "collectionViewUrl":"https://itunes.apple.com/us/album/dancing-queen/1422648512?i=1422648513&uo=4", "trackViewUrl":"https://itunes.apple.com/us/album/dancing-queen/1422648512?i=1422648513&uo=4", 
"previewUrl":"https://audio-ssl.itunes.apple.com/apple-assets-us-std-000001/AudioPreview118/v4/9a/ab/9f/9aab9f41-0821-de62-78cf-43e0c08add62/mzaf_6566316355195832.plus.aac.p.m4a", "artworkUrl30":"https://is1-ssl.mzstatic.com/image/thumb/Music128/v4/88/92/4c/88924c01-6fb3-8616-f0b3-881b1ed09e03/source/30x30bb.jpg", "artworkUrl60":"https://is1-ssl.mzstatic.com/image/thumb/Music128/v4/88/92/4c/88924c01-6fb3-8616-f0b3-881b1ed09e03/source/60x60bb.jpg", "artworkUrl100":"https://is1-ssl.mzstatic.com/image/thumb/Music128/v4/88/92/4c/88924c01-6fb3-8616-f0b3-881b1ed09e03/source/100x100bb.jpg", "collectionPrice":7.99, "trackPrice":1.29, "releaseDate":"1976-08-15T07:00:00Z", "collectionExplicitness":"notExplicit", "trackExplicitness":"notExplicit", "discCount":1, "discNumber":1, "trackCount":19, "trackNumber":1, "trackTimeMillis":231844, "country":"USA", "currency":"USD", "primaryGenreName":"Pop", "isStreamable":true}, 
{"wrapperType":"track", "kind":"song", "artistId":372976, "collectionId":1422648512, "trackId":1422648821, "artistName":"ABBA", "collectionName":"Gold: Greatest Hits", "trackName":"Mamma Mia", "collectionCensoredName":"Gold: Greatest Hits", "trackCensoredName":"Mamma Mia", "artistViewUrl":"https://itunes.apple.com/us/artist/abba/372976?uo=4", "collectionViewUrl":"https://itunes.apple.com/us/album/mamma-mia/1422648512?i=1422648821&uo=4", "trackViewUrl":"https://itunes.apple.com/us/album/mamma-mia/1422648512?i=1422648821&uo=4", 
"previewUrl":"https://audio-ssl.itunes.apple.com/apple-assets-us-std-000001/AudioPreview128/v4/78/df/a9/78dfa901-6177-ca57-6f4b-016737ecd8f9/mzaf_7404502379144753984.plus.aac.p.m4a", "artworkUrl30":"https://is1-ssl.mzstatic.com/image/thumb/Music128/v4/88/92/4c/88924c01-6fb3-8616-f0b3-881b1ed09e03/source/30x30bb.jpg", "artworkUrl60":"https://is1-ssl.mzstatic.com/image/thumb/Music128/v4/88/92/4c/88924c01-6fb3-8616-f0b3-881b1ed09e03/source/60x60bb.jpg", "artworkUrl100":"https://is1-ssl.mzstatic.com/image/thumb/Music128/v4/88/92/4c/88924c01-6fb3-8616-f0b3-881b1ed09e03/source/100x100bb.jpg", "collectionPrice":7.99, "trackPrice":1.29, "releaseDate":"1975-04-21T07:00:00Z", "collectionExplicitness":"notExplicit", "trackExplicitness":"notExplicit", "discCount":1, "discNumber":1, "trackCount":19, "trackNumber":4, "trackTimeMillis":212304, "country":"USA", "currency":"USD", "primaryGenreName":"Pop", "isStreamable":true}, 
{"wrapperType":"track", "kind":"song", "artistId":372976, "collectionId":1422648512, "trackId":1422649021, "artistName":"ABBA", "collectionName":"Gold: Greatest Hits", "trackName":"Waterloo", "collectionCensoredName":"Gold: Greatest Hits", "trackCensoredName":"Waterloo", "artistViewUrl":"https://itunes.apple.com/us/artist/abba/372976?uo=4", "collectionViewUrl":"https://itunes.apple.com/us/album/waterloo/1422648512?i=1422649021&uo=4", "trackViewUrl":"https://itunes.apple.com/us/album/waterloo/1422648512?i=1422649021&uo=4", 
"previewUrl":"https://audio-ssl.itunes.apple.com/apple-assets-us-std-000001/AudioPreview118/v4/13/63/04/13630442-0b29-8b45-d50c-14960297d7ae/mzaf_9017318982421117384.plus.aac.p.m4a", "artworkUrl30":"https://is1-ssl.mzstatic.com/image/thumb/Music128/v4/88/92/4c/88924c01-6fb3-8616-f0b3-881b1ed09e03/source/30x30bb.jpg", "artworkUrl60":"https://is1-ssl.mzstatic.com/image/thumb/Music128/v4/88/92/4c/88924c01-6fb3-8616-f0b3-881b1ed09e03/source/60x60bb.jpg", "artworkUrl100":"https://is1-ssl.mzstatic.com/image/thumb/Music128/v4/88/92/4c/88924c01-6fb3-8616-f0b3-881b1ed09e03/source/100x100bb.jpg", "collectionPrice":7.99, "trackPrice":1.29, "releaseDate":"1974-03-04T07:00:00Z", "collectionExplicitness":"notExplicit", "trackExplicitness":"notExplicit", "discCount":1, "discNumber":1, "trackCount":19, "trackNumber":19, "trackTimeMillis":164432, "country":"USA", "currency":"USD", "primaryGenreName":"Pop", "isStreamable":true}]
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<|start_filename|>Machine_Learning_by_Tutorials/Chapter03_Training_the_Image_Classifier/MultiSnacks.mlproj/Data Sources/test.json<|end_filename|>
{"createdDate":"2020-05-09 23:36:23","id":"953E72BA-AEC9-4A40-A5D5-C2CDCC25D02B","modifiedDate":"2020-05-09 23:36:23","title":"test","dataResult":{"dataURL":"file:\/\/\/Users\/geunseong-gai\/Desktop\/03-training-the-classifier\/dataset\/snacks\/test\/"},"preferredFilename":"test","version":"1.0","pathType":0,"experimentIDs":["0F640C1B-085E-4141-93E8-7B85C9742F83"]}

<|start_filename|>Machine_Learning_by_Tutorials/Chapter03_Training_the_Image_Classifier/MultiSnacks.mlproj/Data Sources/train.json<|end_filename|>
{"createdDate":"2020-05-07 23:12:45","id":"44F7AA4F-5424-486D-8292-FB9C899249B6","modifiedDate":"2020-05-09 19:06:48","title":"train","dataResult":{"itemsCount":4838,"dataURL":"file:\/\/\/Users\/geunseong-gai\/Desktop\/03-training-the-classifier\/dataset\/snacks\/train\/","classesCount":20,"analysis":{"summary":{"canUseValidation":1,"classCount":20,"sampleCount":4838},"issues":[{"description":"20 classes found, including pineapple, waffle, hot dog","severity":"info"},{"description":"4838 images found, automatically creating validation set","severity":"good"},{"description":"Smallest class is \"pretzel\" with 154 images","severity":"warning"},{"description":"Largest class is \"pineapple\" with 260 images","severity":"info"}],"classifierAnalysis":{"columns":[],"vizualizerSpec":"","labelStats":{"candy":249,"orange":249,"hot dog":250,"doughnut":250,"cookie":249,"salad":250,"popcorn":180,"pineapple":260,"ice cream":250,"strawberry":249,"apple":250,"juice":250,"waffle":250,"watermelon":250,"cake":249,"muffin":250,"carrot":249,"grape":250,"banana":250,"pretzel":154}}}},"preferredFilename":"train","version":"1.0","pathType":0,"experimentIDs":["0F640C1B-085E-4141-93E8-7B85C9742F83"]}

<|start_filename|>Tutorials/Fastlane_Tutorial_Getting_Started/mZone/fastlane/metadata/app_store_rating_config.json<|end_filename|>
{
  "CARTOON_FANTASY_VIOLENCE": 0,
  "REALISTIC_VIOLENCE": 0,
  "PROLONGED_GRAPHIC_SADISTIC_REALISTIC_VIOLENCE": 0,
  "PROFANITY_CRUDE_HUMOR": 0,
  "MATURE_SUGGESTIVE": 0,
  "HORROR": 0,
  "MEDICAL_TREATMENT_INFO": 0,
  "ALCOHOL_TOBACCO_DRUGS": 0,
  "GAMBLING": 2,
  "SEXUAL_CONTENT_NUDITY": 0,
  "GRAPHIC_SEXUAL_CONTENT_NUDITY": 0,
  "UNRESTRICTED_WEB_ACCESS": 0,
  "GAMBLING_CONTESTS": 0
}

<|start_filename|>RWDevCon2018/2-Swift-4-Serialization/Serialization2/Serialization2/Serialization2.h<|end_filename|>
// Copyright (c) 2018 Razeware LLC
// For full license & permission details, see LICENSE.markdown.

#import <UIKit/UIKit.h>

//! Project version number for Serialization2.
FOUNDATION_EXPORT double Serialization2VersionNumber;
//! Project version string for Serialization2.
FOUNDATION_EXPORT const unsigned char Serialization2VersionString[];


<|start_filename|>Server_Side_Swift_with_Vapor/TILApp/Dockerfile<|end_filename|>
# 1 : Swift 4.1 image를 사용
FROM swift:4.1

# 2 : 작업 디렉토리 /package로 설정
WORKDIR /package
# 3 : 현재 디렉토리의 내용을 컨테이너 /package로 복사
COPY . ./
# 4 : dependencies를 연결하고, 프로젝트의 build artifacts 정리
RUN swift package resolve
RUN swift package clean
#5 : default command를 swift test로 설정한다. Dockerfile을 실행할 때 Docker가 실행하는 명령이다.
CMD ["swift", "test"]


<|start_filename|>RWDevCon2018/2-Swift-4-Serialization/Serialization3/Serialization3/Serialization3.h<|end_filename|>
// Copyright (c) 2018 Razeware LLC
// For full license & permission details, see LICENSE.markdown.

#import <UIKit/UIKit.h>
FOUNDATION_EXPORT double Serialization3VersionNumber;
FOUNDATION_EXPORT const unsigned char Serialization3VersionString[];


<|start_filename|>Videos/Reproducing_Popular_iOS_Controls/Robinhood/Robinhood/Data/RobinhoodData.json<|end_filename|>
 [
  {
  "title": "After-hours movement",
  "type": "stockMovement",
  "time": "1d",
  "text": "GILD is down 2.46% to $76.75 in after-hours trading.",
  "link": "View GILD"
  },
  {
  "title": "Yahoo finance",
  "type": "news",
  "time": "6h",
  "text": "3 Stocks With Blazingly Fast-Growing Dividends",
  "link": "View article"
  },
  {
  "title": "Seeking Alpha",
  "type": "news",
  "time": "10h",
  "text": "SA Interview: Investing in Orphaned Stocks With The Boyar Value Group",
  "link": "View article"
  },
  {
  "title": "Seeking Alpha",
  "type": "news",
  "time": "12h",
  "text": "33 Dividend Increases February 19-23, 2018 (Part 3: Remaining Sectors)",
  "link": "View article"
  },
  {
  "title": "Yahoo Finance",
  "type": "news",
  "time": "20h",
  "text": "These 2 Tech Stocks Have Strong Dividend Growth Potential",
  "link": "View article"
  },
  {
  "title": "Yahoo Finance",
  "type": "news",
  "time": "1d",
  "text": "Baidu's iQiyi Files for IPO -- What Investors Need to Know",
  "link": "View article"
  },
  {
  "title": "Yahoo Finance",
  "type": "news",
  "time": "1d",
  "text": "Financially Strong And High Growth Stocks",
  "link": "View article"
  },
  {
  "title": "Seeking Alpha",
  "type": "news",
  "time": "1d",
  "text": "Budgeting, Savings, Investing, And Retirement Planning",
  "link": "View article"
  },
  {
  "title": "Yahoo Finance",
  "type": "news",
  "time": "1d",
  "text": "3 Stocks to Buy and Hold for Decades",
  "link": "View article"
  },
  {
  "title": "Seeking Alpha",
  "type": "news",
  "time": "1d",
  "text": "Splunk: The Unstoppable Firecracker",
  "link": "View article"
  }
  ]


<|start_filename|>Server_Side_Swift_with_Vapor/TILApp/Public/scripts/createAcronym.js<|end_filename|>
$.ajax({
    url: "/api/categories/",
    type: "GET",
    contentType: "application/json; charset=utf-8"
    //페이지 로드 시, /api/categories/에 GET request를 보낸다. TIL 앱에서 모든 카테고리를 가져온다.
}).then(function (response) {
    var dataToReturn = [];

    for (var i=0; i < response.length; i++) {
        //가져온 카테고리를 loop를 돈다.
        var tagToTransform = response[i];
        var newTag = {
            id: tagToTransform["name"],
            text: tagToTransform["name"]
        }; //JSON 객체로 변환

        // {
        //     "id": <name of the category>,
        //     "text": <name of the category>
        // }
        //위와 같은 형태의 JSON이 된다.

        dataToReturn.push(newTag); //dataToReturn에 추가한다.
    }

    $("#categories").select2({ //id가 categories인 HTML 요소를 가져와 select2 호출
        //createAcronym에서 form의 id가 categories이므로 <select>에서 select2가 활성화된다.
        placeholder: "Select Categories for the Acronym", //placeholder 텍스트 설정
        tags: true, //태그를 활성화하면 사용자는 입력에 존재하지 않는 새로운 카테고리를 동적으로 생성할 수 있다.
        tokenSeparators: [','], //구분 기호를 ','로 설정.
        data: dataToReturn //사용자가 선택할 수 있는 select의 option 들을, dataToReturn의 카테고리들로 설정한다. 
    });
});


<|start_filename|>Machine_Learning_by_Tutorials/Chapter03_Training_the_Image_Classifier/MultiSnacks.mlproj/Project.json<|end_filename|>
{"location":"","taskType":"imageClassifier","createdDate":"2020-05-07 23:12:07","id":"1E506DA9-AC1E-47FE-AC64-24318A9589C7","modifiedDate":"2020-05-07 23:12:07","title":"Image Classifier","authorName":"근성가이","version":"1.0","license":"","projectName":"MultiSnacks","description":"A machine learning model that has been trained to recognize images. When you give it an image, it responds with a label for that image."}