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Tezz03Tezz03
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Merge branch 'code-differently:main' into main
2 parents 41cb92f + abb394d commit 70d28f7

21 files changed

+925
-7
lines changed

‎lesson_09/types/types_app/src/main/java/com/codedifferently/lesson9/dataprovider/MontezBrProvider.java

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package com.codedifferently.lesson9.dataprovider;
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import java.util.Map;
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import org.springframework.stereotype.Service;
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@Service
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public class MontezBrProvider extends DataProvider {
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public String getProviderName() {
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return "montezb";
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}
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public Map<String, Class> getColumnTypeByName() {
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return Map.of(
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"column1", Float.class,
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"column2", Short.class,
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"column3", Boolean.class,
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"column4", Integer.class,
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"column5", Long.class,
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"column6", Double.class,
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"column7", String.class);
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}
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}

‎lesson_09/types/types_app/src/main/java/com/codedifferently/lesson9/dataprovider/OliviaJamesProvider.java

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package com.codedifferently.lesson9.dataprovider;
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import java.util.Map;
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import org.springframework.stereotype.Service;
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@Service
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public class OliviaJamesProvider extends DataProvider {
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public String getProviderName() {
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return "oliviajames";
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}
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public Map<String, Class> getColumnTypeByName() {
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return Map.of(
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"column1", String.class,
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"column2", Double.class,
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"column3", Long.class,
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"column4", Short.class,
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"column5", Integer.class,
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"column6", Float.class,
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"column7", Boolean.class);
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}
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}

‎lesson_09/types/types_app/src/main/resources/data/montezb.json

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[
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{
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"column1": "1.863895E38",
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"column2": "6998",
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"column3": "true",
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"column4": "1269627853",
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"column5": "5820458545739166720",
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"column6": "1.436185005130375E308",
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"column7": "ye25g"
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},
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{
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"column1": "2.2073703E38",
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"column2": "31051",
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"column3": "false",
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"column4": "195099502",
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"column5": "7823978771683994624",
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"column6": "1.703004837906517E308",
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"column7": "yibn0"
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},
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{
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"column1": "3.3211768E38",
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"column2": "27056",
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"column3": "false",
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"column4": "557211270",
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"column5": "3555070442975083008",
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"column6": "1.6667231001500445E308",
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"column7": "z7flxj9ih"
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},
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{
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"column1": "1.6676249E38",
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"column2": "11188",
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"column3": "true",
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"column4": "1364839748",
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"column5": "5247280208224276480",
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"column6": "5.573864411176169E307",
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"column7": "703typ2qsxni"
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},
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{
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"column1": "2.3070655E38",
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"column2": "25660",
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"column3": "false",
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"column4": "991280458",
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"column5": "4047343583020718592",
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"column6": "9.819210694336025E306",
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"column7": "4z7wnu"
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},
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{
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"column1": "3.4997513E37",
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"column2": "7615",
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"column3": "true",
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"column4": "681995715",
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"column5": "2643907710975564800",
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"column6": "5.146227084316043E307",
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"column7": "cwe5vf8"
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},
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{
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"column1": "1.517785E38",
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"column2": "2489",
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"column3": "true",
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"column4": "2090041544",
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"column5": "3217921269451220480",
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"column6": "5.74053698522329E307",
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"column7": "2bt47x8dpyw"
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},
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{
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"column1": "8.259404E37",
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"column2": "2148",
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"column3": "false",
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"column4": "1134389096",
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"column5": "4917746663066431488",
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"column6": "1.5187138866355861E308",
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"column7": "t3ocnadzx1l5"
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},
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{
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"column1": "2.9935023E38",
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"column2": "2652",
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"column3": "true",
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"column4": "515853127",
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"column5": "1803397750918669056",
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"column6": "4.686361471260443E307",
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"column7": "lsi2w6z"
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},
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{
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"column1": "1.8579561E38",
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"column2": "31546",
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"column3": "false",
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"column4": "1894352427",
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"column5": "7812610742153510912",
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"column6": "1.4053257217166533E308",
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"column7": "xma7jpqg"
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}
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]

‎lesson_09/types/types_app/src/main/resources/data/oliviajames.json

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[
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{
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"column1": "nz5xtf",
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"column2": "1.197797482238104E308",
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"column3": "6776285359612816384",
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"column4": "12839",
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"column5": "716029217",
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"column6": "1.8966081E38",
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"column7": "false"
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},
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{
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"column1": "ev589",
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"column2": "5.750856912711028E307",
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"column3": "2375177690879723520",
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"column4": "30440",
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"column5": "610940561",
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"column6": "2.2582356E38",
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"column7": "false"
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},
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{
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"column1": "vtzc0e",
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"column2": "1.2119198189037794E308",
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"column3": "7310746682471859200",
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"column4": "25379",
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"column5": "772305514",
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"column6": "9.970872E37",
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"column7": "true"
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},
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{
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"column1": "2trpkdb9omz",
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"column2": "3.197488851050967E307",
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"column3": "3019966835606569984",
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"column4": "7849",
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"column5": "109652160",
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"column6": "1.7385883E38",
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"column7": "false"
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},
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{
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"column1": "wtzmnj6",
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"column2": "1.074399324465288E308",
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"column3": "3590360280136418816",
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"column4": "18251",
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"column5": "1765426537",
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"column6": "3.0557306E38",
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"column7": "true"
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},
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{
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"column1": "cuekgls0",
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"column2": "1.5138522039300354E308",
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"column3": "545666802789177088",
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"column4": "17302",
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"column5": "949239854",
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"column6": "2.8012E38",
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"column7": "false"
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},
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{
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"column1": "rlgt1xm6",
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"column2": "9.964833183058719E307",
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"column3": "7454111030525443072",
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"column4": "28345",
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"column5": "869600527",
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"column6": "1.1602527E38",
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"column7": "false"
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},
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{
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"column1": "015jogt",
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"column2": "3.3638913008676015E307",
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"column3": "5664502378656301056",
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"column4": "29248",
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"column5": "2058627750",
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"column6": "1.9735697E38",
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"column7": "true"
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},
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{
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"column1": "4opm1va257",
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"column2": "1.1788429234835814E308",
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"column3": "7599382845915704320",
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"column4": "4432",
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"column5": "1860215346",
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"column6": "1.7235586E38",
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"column7": "true"
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},
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{
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"column1": "ezwd31af",
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"column2": "1.0539346106176145E307",
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"column3": "6126291837102578688",
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"column4": "26201",
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"column5": "819184575",
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"column6": "2.8135185E38",
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"column7": "true"
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}
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]

‎lesson_10/libraries/src/loaders/JBey_loader.ts

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import csv from 'csv-parser';
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import fs from 'fs';
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import { Credit, MediaItem } from '../models/index.js';
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import { Loader } from './loader.js';
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export class JBeyLoader implements Loader {
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getLoaderName(): string {
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return 'JBey';
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}
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async loadData(): Promise<MediaItem[]> {
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const credits = await this.loadCredits();
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const mediaItems = await this.loadMediaItems();
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console.log(
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`Loaded ${credits.length} credits and ${mediaItems.length} media items`,
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);
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return [...mediaItems.values()];
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}
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async loadMediaItems(): Promise<MediaItem[]> {
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// TODO: Implement this method.
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const mediaItems = [];
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const readable = fs
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.createReadStream('data/media_items.csv', 'utf-8')
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.pipe(csv());
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for await (const row of readable) {
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const { id, title, type, year } = row;
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mediaItems.push(new MediaItem(id, title, type, year, []));
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}
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return mediaItems;
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}
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async loadCredits(): Promise<Credit[]> {
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const credits = [];
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const readable = fs
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.createReadStream('data/credits.csv', 'utf-8')
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.pipe(csv());
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for await (const row of readable) {
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const { media_item_id, role, name } = row;
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credits.push(new Credit(media_item_id, name, role));
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}
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return credits;
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}
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}

‎lesson_10/libraries/src/loaders/bryana_singleton_barnhart_loader.ts

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import csv from 'csv-parser';
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import fs from 'fs';
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import { Credit, MediaItem } from '../models/index.js';
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import { Loader } from './loader.js';
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export class BryanaSingletonBarnhartLoader implements Loader {
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getLoaderName(): string {
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return 'bryanasingletonbarnhart';
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}
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async loadData(): Promise<MediaItem[]> {
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const credits = await this.loadCredits();
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const mediaItems = await this.loadMediaItems();
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console.log(
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`Loaded ${credits.length} credits and ${mediaItems.length} media items`,
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);
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return [...mediaItems.values()];
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}
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async loadMediaItems(): Promise<MediaItem[]> {
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// TODO: Implement this method.g
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const mediaItems = [];
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const readable = fs
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.createReadStream('data/media_items.csv', 'utf-8')
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.pipe(csv());
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for await (const row of readable) {
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const { id, title, year, type } = row;
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mediaItems.push(new MediaItem(id, title, type, year, []));
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}
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return mediaItems;
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}
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async loadCredits(): Promise<Credit[]> {
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const credits = [];
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const readable = fs
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.createReadStream('data/credits.csv', 'utf-8')
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.pipe(csv());
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for await (const row of readable) {
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const { media_item_id, role, name } = row;
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credits.push(new Credit(media_item_id, name, role));
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}
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return credits;
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}
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}

‎lesson_10/libraries/src/loaders/chanel_hutt_loader.ts

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if (mediaItem) {
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mediaItem.addCredit(credit);
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}
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console.log(
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`Loaded ${credits.length} credits and ${mediaItems.length} media items`,
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);
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}
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// Returns an array of the values from the hashmap.
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return Array.from(hashMapIndex.values());

‎lesson_10/libraries/src/loaders/david_adenaike_loader.ts

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import csv from 'csv-parser';
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import fs from 'fs';
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import { Credit, MediaItem } from '../models/index.js';
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import { Loader } from './loader.js';
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export class DavidAdenaikeLoader implements Loader {
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getLoaderName(): string {
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return 'davidadenaike';
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}
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async loadData(): Promise<MediaItem[]> {
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const credits = await this.loadCredits();
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const mediaItems = await this.loadMediaItems();
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console.log(
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`Loaded ${credits.length} credits and ${mediaItems.length} media items`,
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);
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return [...mediaItems.values()];
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}
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async loadMediaItems(): Promise<MediaItem[]> {
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// TODO: Implement this method.
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const mediaItems = [];
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const readable = fs
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.createReadStream('data/media_items.csv', 'utf-8')
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.pipe(csv());
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for await (const row of readable) {
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const { id, type, title, year } = row;
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mediaItems.push(new MediaItem(id, title, type, year, []));
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}
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return mediaItems;
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}
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async loadCredits(): Promise<Credit[]> {
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const credits = [];
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const readable = fs
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.createReadStream('data/credits.csv', 'utf-8')
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.pipe(csv());
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for await (const row of readable) {
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const { media_item_id, role, name } = row;
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credits.push(new Credit(media_item_id, name, role));
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}
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return credits;
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}
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}

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