sunflower | gardening app illustrating Android development | Model View Controller library

        describe('Loan Details', ()=>{
     
       it('Get loan details', ()=>{
         cy.request({
         method : 'GET',
         url    : '/services/getLoans/getLoans.aspx',
         headers : {
             'api_user_id' : 'abc',
             'api_password': 'def',
             'loan_id'     : '8411'
         }
     }).then((res)=>{
        expect(res.status).to.eq(200)
        let myxml = Cypress.$.parseXML(res.body)
       cy.log(res.body)
       }) 
     }) 
    })

 assert  expected 200 to equal 200
 log   <OUTPUT version="2.1"><ERROR type="NOT_WELL_FORMED">Input was not well formed and xml compliant.</ERROR></OUTPUT>

   <OUTPUT version="2.0">
    <RESPONSE>
    <LOAN_DATA 
        loan_id="8411" 
        loan_number="61036" 
        loan_type="VL" 
        status_code="OK">
        <![CDATA[<VEHICLE_LOAN xmlns="abc.com" version="5.259"><APPLICANTS><APPLICANT paper_grade="" is_declined="N" first_name="CO APPLICANT F" last_name="TESTCASE" m_initial="" middle_name="" ssn="000000001" dob="1990-01-01" ages_of_dependents="" mother_maiden_name="" citizenship="USCITIZEN" member_number="" bankruptcy_score="0" membership_months="0" marital_status="MARRIED" number_in_household="1" credit_score="745" custom_score="0" custom_score_2="670" custom_score_3="690" custom_score_4="670" custom_score_5="670" applicant_type="P" allow_direct_mail="Y" allow_email_solicit="Y" allow_telemarket="Y" allow_share_info="Y" is_ofac_id_ver="N" id_authentication_result="INCOMPLETE" is_fraud_prescore="N" contact_index="0" d3p1:internal_borrower_id="5911" is_fraud_credit="N" is_ofac_credit="N" combined_unsecured_aggregate_amount_with_lender="0.00" combined_secured_aggregate_amount_with_lender_no_mortgage="0.00" borrower_id="0" xmlns:d3p1="abc.com"><ID_CARD card_type="SOCIAL_SECURITY" card_number="00-000-0006" state="" country="USA" /><ID_CARD2 card_type="" card_number="" state="" country="" /><CURRENT_ADDRESS occupancy_status="GOVQUARTERS" occupancy_duration="12" other_occupancy_description=""><LOOSE_ADDRESS street_address_1="123, CO APPLCIANT ADDRESS" street_address_2="" city="JACKSONVILLE" state="FL" zip="32259" county="" address_verification_date="2020-06-02" /></CURRENT_ADDRESS><PREVIOUS_ADDRESS occupancy_status="GOVQUARTERS" occupancy_duration="13" other_occupancy_description="" city="JACKSONVILLE" state="FL" zip="32259" county="" street_address_1="123, joint applciant address" street_address_2="" country="USA" /><MAILING_ADDRESS city="JACKSONVILLE" state="FL" zip="32259" county="" street_address_1="123, CO APPLCIANT ADDRESS" street_address_2="" country="USA" address_verification_date="2020-06-02" is_current="Y" /><FINANCIAL_INFO><CURRENT_EMPLOYMENT employment_start_date="2020-01-01" employed_months="26" employment_address="employment Address" employment_city="" employment_state="" occupation="Test Professional Job" employer="MERDIANLINK" employment_phone="" employment_status="EM" employment_weekly_hours="0" is_employee_of_lender="Y" employee_of_lender_type="EMPLOYEE" profession_months="26" /><PREVIOUS_EMPLOYMENT monthly_income="1000.00" employed_months="0" employment_address="EMP Addrtess" employment_city="" employment_state="" occupation="" employer="" employment_phone="" employment_weekly_hours="0" /><MONTHLY_INCOME is_monthly_income_base_salary_manual="N" is_bah_included="N" monthly_income_base_salary="5000.00" is_tax_exempt_monthly_income_base_salary="Y" monthly_income_over_time="0.00" monthly_income_bonus="0.00" income_verify_method="" /><MONTHLY_DEBT monthly_liability="1389.00" monthly_housing_cost="100.00" monthly_rent="100.00" job_expense="100.00" alimony="0.00" child_support="150.00" separate_maintenance_expense="0.00" tax_expense="0.00" other_expense_1="0.00" other_expense_2="0.00" monthly_mortgage_payment="0.00" aggregate_amount_with_lender="0.00" aggregate_amount_with_lender_secured_no_mortgage="0.00" /></FINANCIAL_INFO><REFERENCE first_name="" last_name="" address="" city="" state="" phone="" relationship="" email="" /><REFERENCE first_name="" last_name="" address="" city="" state="" phone="" relationship="" email="" /><CONTACT_INFO preferred_contact_method="HOME" cell_phone="" cell_phone_country="US" fax_number="" fax_number_country="US" home_phone="(999) 888-7776" home_phone_country="US" work_phone="" work_phone_extension="" work_phone_country="US" email="COAPPL@def.COM" /><ASSETS /><DECLARATIONS has_judge_bankrupt_foreclosure="" has_declare_bankrupt="" has_chapter_13="" has_lawsuit_party="" has_judgement="" has_foreclosure="" has_reposession="" has_other_obligation="" has_past_due_bills="" has_co_maker="" co_maker_amount="0.00" has_alias="" has_income_decline="" has_suits_pending="" has_alimony="" has_property_for_sale="" /></APPLICANT></APPLICANTS><LOAN_INFO rate_code="" payment_due_day="0" max_underwrite_amount="0" epl_fees_total="0.00" is_claimed="Y" is_complete_consumer="N" require_product_refresh="N" is_addon="N" is_amendment="N" solve_for="PAYMENT" override_code="04" is_possible_dupe="N" app_subtype="DVL" is_workout_loan="N" is_solvefor_manual="N" tier="0" tier_previous="0" is_prequalification_applied="N" is_ofac="N" is_indirect_loan="N" is_business="N" total_sales_price="0.00" total_vehicle_value="2000.00" amount_requested="1000.00" down_payment="0.00" loan_term="36" contract_rate="0.00000" trade_allowance="0.00" initial_balloon_amount="0.00" estimated_vehicle_payment="0.00" is_residual_loan="N" rebate="0.00" tax="0.00" license="0.00" additional_items_front_end="0.00" additional_items_back_end="0.00" max_advance="" max_advance_value="0.00" max_soft_advance_value="0.00" max_hard_advance_value="0.00" amount_approved="0.00" request_type="AUTO SECURED" purpose_type="AUTO SECURED" inspected_by="" misc_implant="" number_of_payments="0" is_balloon="N" is_hmda="N" is_hmda_manual="N" amount_approved_variance="0.00" is_advance_request="N" is_calculate_mapr="Y" mapr="0.00000" customer_money_factor="0" lender_money_factor="0" residual_value="0.00" gross_cap_cost="0.00" cap_cost_reduction="0.00" adjusted_cap_cost="0.00" lease_payment="0.00" max_lease_payment="0.00" security_deposit="0.00" net_due_to_dealer="0.00" /><PRICE_ADJUSTMENTS /><LOAN_STATUS loan_status="APP" approval_date="2022-03-02T02:00:57-08:00" first_approval_date="2022-03-02T01:59:34-08:00" response_date="2022-03-02T01:59:34-08:00" initial_entry_timestamp="2022-03-02T01:46:32-08:00" last_modified="2022-03-02T02:04:03-08:00" is_locked="N" existing_balance="0.00" delinquency_period="0" delinquency_amount="0.00" deciding_date="2022-03-02" app_receive_date="2022-03-02T01:46:32-08:00" amount_charge_off="0.00" /><DISBURSEMENTS /><TASK_LIST /><FUNDING daily_periodic_rate="0.00000" payment_frequency="MONTHLY" funded_status="FUN" funding_date="2022-03-02" amount_advanced="900.00" current_payment="0.00" filing_fee_amount="0.00" filing_fee_type="FINANCED" finance_charge="0.00" initial_amount_advanced="900.00" other_charges="0.00" other_charges_description="" other_loans="0.00" prev_loan_liner_balance="0.00" total_financed_payment="900.00" interest_only_min_payment="0.00" interest_only_max_payment="0.00" loan_term="0" reserve_amount="0.00" primary_reserve_amount="0.00" secondary_reserve_amount="0.00" suggested_buydown_amount="0.00" extended_rate="0.00000" buy_rate="0.00000" contract_rate="0.00000" index="0.00000" margin="0.00000" floor="0.00000" ceiling="0.00000" apr="0.00000" exact_monthly_payment="120.00" exact_monthly_payment_original="0.00" exact_last_monthly_payment="0.00" additional_fees="0.00" additional_fees_comment="" funding_acquisition_fee="0.00" initial_rate="-999999.00000" doc_stamps_fee="0.00" doc_stamps_rate="0.00000" doc_stamps_fee_is_manual="N" doc_stamps_type="FINANCED" funding_money_factor="0" funding_equivalent_interest_rate="0.00000" funding_allowable_annual_mileage="0"><SKIP_PAYMENT_INFO skip_start_date="0001-01-01" skip_end_date="0001-01-01" skip_period_month_day_start="0001-01-01" skip_period_month_day_end="0001-01-01" skips_per_year="0" position_of_skips="0" is_position_of_skips_first_pay_skip="N" is_defer_skip_payments="N" /><INSURANCE_OPTIONS loan_class="C" description="" is_mapr_gap="Y" is_mapr_sc="N" is_mapr_vpp="N"><INSURANCE_OPTION type="GAP" premium="0.00" is_financed="Y" /><INSURANCE_OPTION type="SERVICE_CONTRACT" premium="0.00" is_financed="Y" /><INSURANCE_OPTION type="VPP" premium="0.00" is_financed="Y" /></INSURANCE_OPTIONS><CLOSE_END_INFO amount_owed_to_lender="900.00" amount_refinanced="0.00" cash_prepaid_finance_charge="0.00" mapr_cash_fee="0.00" /></FUNDING><COMMENTS><DECISION_COMMENTS>Kumar, Amit (3/2/2022 5:00:57 AM EST): DONT GO THERE
        </DECISION_COMMENTS><EXTERNAL_COMMENTS></EXTERNAL_COMMENTS><INTERNAL_COMMENTS></INTERNAL_COMMENTS><UNABLE_TO_FUND></UNABLE_TO_FUND></COMMENTS><STRUCTURED_COMMENTS><STRUCTURED_INTERNAL_COMMENTS><STRUCTURED_COMMENT modifier_type="Z" last_modified_date="2022-03-02T01:48:54.0000000-08:00" creation_date="2022-03-02T01:48:54.0000000-08:00" message="Applicant (TESTCASE, CO APPLICANT F) has a record in the Applicant Designation.  The applicant's Employee Of Lender Type is set to: EMPLOYEE"><MODIFIER d5p1:internal_id="00000000000000000000000000000001" xmlns:d5p1="abc.com" /></STRUCTURED_COMMENT><STRUCTURED_COMMENT modifier_type="Z" last_modified_date="2022-03-02T01:59:56.0000000-08:00" creation_date="2022-03-02T01:59:56.0000000-08:00" message="Switched to pending status because amount approved has increase from 0 to 900"><MODIFIER d5p1:internal_id="00000000000000000000000000000001" xmlns:d5p1="abc.com" /></STRUCTURED_COMMENT></STRUCTURED_INTERNAL_COMMENTS></STRUCTURED_COMMENTS><VEHICLES><VEHICLE mileage="5" is_new_vehicle="Y" vehicle_sales_price="0.00" vehicle_value="2000.00" is_rebuilt_restored="N" processing_type="CT" vehicle_options="SUN ROOF - FLIP" vin="" vehicle_type="CAR" year="2022" make="BENTLEY" model="test" license="" nada_info="" body_type="" empty_weight="0" carrying_capacity="0" length="0" commercial_title="NONE"><CLEAR_TITLE current_name_on_title="TESTCASE, CO APPLICANT F" new_names_on_title="TESTCASE, CO APPLICANT F" name_for_collateral_purposes="TESTCASE, CO APPLICANT F" title_recording_fees="0.00" current_name_on_title_contact_index="0" new_names_on_title_contact_index="0" name_for_collateral_purposes_contact_index="0" /><TITLE state_current="" /><INSURANCE /></VEHICLE><TRADE_IN trade_value="0.00" trade_payoff="0.00" trade_payment="0.00" vin="" vehicle_type="CAR" year="0" make="" model="" /></VEHICLES><CUSTOM_QUESTIONS /><CONTACTS><CONTACT_INFO contact_type="APPLICANT" first_name="CO APPLICANT F" last_name="TESTCASE" address="123, CO APPLCIANT ADDRESS" city="JACKSONVILLE" state="FL" zip="32259" phone="(999) 888-7776" email="COAPPL@def.COM" ssn="000000001" is_ssn_taxid="N" dob="1990-01-01" /></CONTACTS><SYSTEM type="LPQ" d2p1:loan_id="892fb4" xmlns:d2p1="abc.com"><PROCESSOR d2p1:internal_id="4cc78ffcca0d" name="test" phone="(989) 898-9800" code="TEST_301" email="test@abc.com" /><LOAN_OFFICER d2p1:phone="(989) 898-9898" code="TEST_301" email="test@abc.com" /><APPROVAL_OFFICER d2p1:phone="(989) 898-9898" code="TEST_301" email="test@abc.com" /><FUNDER d2p1:phone="(989) 898-9898" code="TEST_301" email="test@abc.com" /><DECIDING_OFFICER d2p1:phone="(989) 898-9898" code="TEST_301" email="test@abc.com" /><ORIGINATOR d2p1:internal_id="4cc78ffcca0" name="test" phone="(989) 898-9898" code="TEST_301" email="test@abc.com" type="L" /><BRANCH d2p1:internal_id="0c845c56bf89e232e" name="Branch1" code="BRANCH1_217" phone="714-651-5553" fax="324-234-2342,123-456-7899, 123-456-6565" email="dvu@abc.com" reference_id2="2"><ADDRESS street_address_1="1600 Sunflower Ave" city="Costa Mesa" state="CA" zip="92626" /></BRANCH><LENDER d2p1:internal_id="cb8f7cda8a6" name="Lender Hive" reference_id="UnitTestReference" code="PleaseChangeMe_6688a99921444657ba0c318471f05ecd" phone="714-333-2988" fax="714-333-2988" email="ben@abc.com" cuna_client_id="10416516"><ADDRESS street_address_1="144327 Corky St." city="Westminster" state="IL" zip="29375" /></LENDER><ORGANIZATION d2p1:internal_id="7fcd0b9452ca46a7a194bc3f2324905e" name="QA-Hive" reference_id="UnitTestOrgReference" code="QA-Hive" phone="(714) 333-2988" fax="(714) 333-2988" /><CLOSING_BRANCH d2p1:internal_id="0c84532e" name="Branch1" reference_id="1" code="BRANCH1_217" phone="714-651-5553" fax="324-234-2342,123-456-7899, 123-456-6565" email="dvu@abc.com" reference_id2="2"><ADDRESS street_address_1="1600 Sunflower Ave" city="Costa Mesa" state="CA" zip="92626" /></CLOSING_BRANCH></SYSTEM><HMDA_INFO is_hoepa="N" is_hoepa_manual="N" lien_position="1" purchaser="NOT_ORIGINATED" /><HMDA_XML version="2018" xmlns="abc.com"></HMDA_XML><VEHICLE_BUSINESS_INFORMATIONS number_of_employees="0" months_in_business="0" is_borrower_prepared="N" is_cpa_prepared="N" is_income_tax_statements_available="N" mailing_address_is_current="Y" mailing_country="USA" occupancy_duration="0" /></VEHICLE_LOAN>]]>
     </LOAN_DATA>
   </RESPONSE>
  </OUTPUT>

      <INPUT>
           <LOGIN api_user_id="f782481b" api_password="Sn63P73P"/>
            <REQUEST>
               <LOAN loan_id="d023bcf"/>
            </REQUEST>
      </INPUT>

import altair as alt
import pandas as pd

source = pd.DataFrame.from_records([
      {"x": 0.5, "y": 0.5, "img": "https://vega.github.io/vega-datasets/data/ffox.png"},
      {"x": 1.5, "y": 1.5, "img": "https://media.istockphoto.com/photos/sunflower-isolated-picture-id174648035"},
      {"x": 2.5, "y": 2.5, "img": "https://github.com/flbyrne/images/blob/main/snowman.png"}
])

alt.Chart(source).mark_image(
    width=50,
    height=50
).encode(
    x='x',
    y='y',
    url='img'
)

df=pd.read_csv("Lifecycle.csv")

df1=df[df["Specie"]=="pot_marigold"]
df1
df2=df[df["Specie"]=="Sunflowers"]
df2
trace=go.Scatter(x=df1["Days"], y=df1["Lifecycle"],text=df1["Specie"],marker={"color":"green"}, size=df1[SD],
mode="lines+markers")
trace1=go.Scatter(x=df2["Days"], y=df2["Lifecycle"],text=df2["Specie"],marker={"color":"red"},
mode="lines+markers")
data=[trace,trace1] 
layout=go.Layout(
    title="Lifecycle",
    xaxis={"title":"Days"},
    yaxis={"title":"Lifecycle"})

fig=go.Figure(data=data,layout=layout)
pyo.plot(fig)

abstract class Plant {
  public static dmg: number;
  public static cost: number;

  constructor(cell: Cell) {
    this.cell = cell;
  }

  cell: Cell;
}

// I would like to create more Plants like this
class Sunflower extends Plant {
  public static dmg = 0;
  public static cost = 50;
  cell: Cell;

  constructor(cell: Cell) {
    super(cell);
  }
}

class Cell {
  build(c: typeof Plant) {
    if (c.cost <= game.money) {
      this.plant = new c(this); //Cannot create an instance of an abstract class.
      game.money -= c.cost;
    }
  }
}

// this is how I would build plants.
let c = new Cell();
c.build(Sunflower);

import Palette from './Palette';
import seedPalettes from './assets/seedPalettes'
import './css/App.css'
import { generatePalette } from './assets/colorHelpers';
import { Routes, Route, Link, useParams } from 'react-router-dom';

function App() {

  const { id } = useParams()
  const findPalette = id => {
    return seedPalettes.find(function (palette) {
      return palette.id == id;
    })
  }

  console.log(id);

  return (
    <div className='App'>
      <Routes>
        <Route path='/' element={<h1>Welcome Home</h1>} />
        <Route path='/palette/:id' element={<Palette palette={generatePalette(findPalette(id))} />} />
      </Routes>

      {/* <Link to='/palette'>See Palette</Link> */}
      {/* <Palette palette={generatePalette(seedPalettes[4])} /> */}
    </div>
  );
}

export default App;

export default [
    {
        paletteName: "Material UI Colors",
        id: "material-ui-colors",
        emoji: "🎨",
        colors: [
            { name: "red", color: "#F44336" },
            { name: "pink", color: "#E91E63" },
            { name: "purple", color: "#9C27B0" },
            { name: "deeppurple", color: "#673AB7" },
            { name: "indigo", color: "#3F51B5" },
            { name: "blue", color: "#2196F3" },
            { name: "lightblue", color: "#03A9F4" },
            { name: "cyan", color: "#00BCD4" },
            { name: "teal", color: "#009688" },
            { name: "green", color: "#4CAF50" },
            { name: "lightgreen", color: "#8BC34A" },
            { name: "lime", color: "#CDDC39" },
            { name: "yellow", color: "#FFEB3B" },
            { name: "amber", color: "#FFC107" },
            { name: "orange", color: "#FF9800" },
            { name: "deeporange", color: "#FF5722" },
            { name: "brown", color: "#795548" },
            { name: "grey", color: "#9E9E9E" },
            { name: "bluegrey", color: "#607D8B" }
        ]
    },
    {
        paletteName: "Flat UI Colors v1",
        id: "flat-ui-colors-v1",
        emoji: "🤙",
        colors: [
            { name: "Turquoise", color: "#1abc9c" },
            { name: "Emerald", color: "#2ecc71" },
            { name: "PeterRiver", color: "#3498db" },
            { name: "Amethyst", color: "#9b59b6" },
            { name: "WetAsphalt", color: "#34495e" },
            { name: "GreenSea", color: "#16a085" },
            { name: "Nephritis", color: "#27ae60" },
            { name: "BelizeHole", color: "#2980b9" },
            { name: "Wisteria", color: "#8e44ad" },
            { name: "MidnightBlue", color: "#2c3e50" },
            { name: "SunFlower", color: "#f1c40f" },
            { name: "Carrot", color: "#e67e22" },
            { name: "Alizarin", color: "#e74c3c" },
            { name: "Clouds", color: "#ecf0f1" },
            { name: "Concrete", color: "#95a5a6" },
            { name: "Orange", color: "#f39c12" },
            { name: "Pumpkin", color: "#d35400" },
            { name: "Pomegranate", color: "#c0392b" },
            { name: "Silver", color: "#bdc3c7" },
            { name: "Asbestos", color: "#7f8c8d" }
        ]
    },
    {
        paletteName: "Flat UI Colors Dutch",
        id: "flat-ui-colors-dutch",
        emoji: "🇳🇱",
        colors: [
            { name: "Sunflower", color: "#FFC312" },
            { name: "Energos", color: "#C4E538" },
            { name: "BlueMartina", color: "#12CBC4" },
            { name: "LavenderRose", color: "#FDA7DF" },
            { name: "BaraRose", color: "#ED4C67" },
            { name: "RadiantYellow", color: "#F79F1F" },
            { name: "AndroidGreen", color: "#A3CB38" },
            { name: "MediterraneanSea", color: "#1289A7" },
            { name: "LavenderTea", color: "#D980FA" },
            { name: "VerryBerry", color: "#B53471" },
            { name: "PuffinsBill", color: "#EE5A24" },
            { name: "PixelatedGrass", color: "#009432" },
            { name: "MerchantMarineBlue", color: "#0652DD" },
            { name: "ForgottenPurple", color: "#9980FA" },
            { name: "HollyHock", color: "#833471" },
            { name: "RedPigment", color: "#EA2027" },
            { name: "TurkishAqua", color: "#006266" },
            { name: "20000LeaguesUnderTheSea", color: "#1B1464" },
            { name: "CircumorbitalRing", color: "#5758BB" },
            { name: "MagentaPurple", color: "#6F1E51" }
        ]
    },
    {
        paletteName: "Flat UI Colors American",
        id: "flat-ui-colors-american",
        emoji: "🇺🇸",
        colors: [
            { name: "LightGreenishBlue", color: "#55efc4" },
            { name: "FadedPoster", color: "#81ecec" },
            { name: "GreenDarnerTail", color: "#74b9ff" },
            { name: "ShyMoment", color: "#a29bfe" },
            { name: "CityLights", color: "#dfe6e9" },
            { name: "MintLeaf", color: "#00b894" },
            { name: "RobinsEggBlue", color: "#00cec9" },
            { name: "ElectronBlue", color: "#0984e3" },
            { name: "ExodusFruit", color: "#6c5ce7" },
            { name: "SoothingBreeze", color: "#b2bec3" },
            { name: "SourLemon", color: "#ffeaa7" },
            { name: "FirstDate", color: "#fab1a0" },
            { name: "PinkGlamour", color: "#ff7675" },
            { name: "Pico8Pink", color: "#fd79a8" },
            { name: "AmericanRiver", color: "#636e72" },
            { name: "BrightYarrow", color: "#fdcb6e" },
            { name: "OrangeVille", color: "#e17055" },
            { name: "Chi-Gong", color: "#d63031" },
            { name: "PrunusAvium", color: "#e84393" },
            { name: "DraculaOrchid", color: "#2d3436" }
        ]
    },
    {
        paletteName: "Flat UI Colors Aussie",
        id: "flat-ui-colors-aussie",
        emoji: "🇦🇺",
        colors: [
            { name: "Beekeeper", color: "#f6e58d" },
            { name: "SpicedNectarine", color: "#ffbe76" },
            { name: "PinkGlamour", color: "#ff7979" },
            { name: "JuneBud", color: "#badc58" },
            { name: "CoastalBreeze", color: "#dff9fb" },
            { name: "Turbo", color: "#f9ca24" },
            { name: "QuinceJelly", color: "#f0932b" },
            { name: "CarminePink", color: "#eb4d4b" },
            { name: "PureApple", color: "#6ab04c" },
            { name: "HintOfIcePack", color: "#c7ecee" },
            { name: "MiddleBlue", color: "#7ed6df" },
            { name: "Heliotrope", color: "#e056fd" },
            { name: "ExodusFruit", color: "#686de0" },
            { name: "DeepKoamaru", color: "#30336b" },
            { name: "SoaringEagle", color: "#95afc0" },
            { name: "GreenlandGreen", color: "#22a6b3" },
            { name: "SteelPink", color: "#be2edd" },
            { name: "Blurple", color: "#4834d4" },
            { name: "DeepCove", color: "#130f40" },
            { name: "WizardGrey", color: "#535c68" }
        ]
    },
    {
        paletteName: "Flat UI Colors British",
        id: "flat-ui-colors-british",
        emoji: "🇬🇧",
        colors: [
            { name: "ProtossPylon", color: "#00a8ff" },
            { name: "Periwinkle", color: "#9c88ff" },
            { name: "Rise-N-Shine", color: "#fbc531" },
            { name: "DownloadProgress", color: "#4cd137" },
            { name: "Seabrook", color: "#487eb0" },
            { name: "VanaDylBlue", color: "#0097e6" },
            { name: "MattPurple", color: "#8c7ae6" },
            { name: "NanohanachaGold", color: "#e1b12c" },
            { name: "SkirretGreen", color: "#44bd32" },
            { name: "Naval", color: "#40739e" },
            { name: "NasturcianFlower", color: "#e84118" },
            { name: "LynxWhite", color: "#f5f6fa" },
            { name: "BlueberrySoda", color: "#7f8fa6" },
            { name: "MazarineBlue", color: "#273c75" },
            { name: "BlueNights", color: "#353b48" },
            { name: "HarleyOrange", color: "#c23616" },
            { name: "HintOfPensive", color: "#dcdde1" },
            { name: "ChainGangGrey", color: "#718093" },
            { name: "PicoVoid", color: "#192a56" },
            { name: "ElectroMagnetic", color: "#2f3640" }
        ]
    },
    {
        paletteName: "Flat UI Colors Spanish",
        id: "flat-ui-colors-spanish",
        emoji: "🇪🇸",
        colors: [
            { name: "JacksonsPurple", color: "#40407a" },
            { name: "C64Purple", color: "#706fd3" },
            { name: "SwanWhite", color: "#f7f1e3" },
            { name: "SummerSky", color: "#34ace0" },
            { name: "CelestialGreen", color: "#33d9b2" },
            { name: "LuckyPoint", color: "#2c2c54" },
            { name: "Liberty", color: "#474787" },
            { name: "HotStone", color: "#aaa69d" },
            { name: "DevilBlue", color: "#227093" },
            { name: "PalmSpringsSplash", color: "#218c74" },
            { name: "FlourescentRed", color: "#ff5252" },
            { name: "SyntheticPumpkin", color: "#ff793f" },
            { name: "CrocodileTooth", color: "#d1ccc0" },
            { name: "MandarinSorbet", color: "#ffb142" },
            { name: "SpicedButterNut", color: "#ffda79" },
            { name: "EyeOfNewt", color: "#b33939" },
            { name: "ChileanFire", color: "#cd6133" },
            { name: "GreyPorcelain", color: "#84817a" },
            { name: "AlamedaOchre", color: "#cc8e35" },
            { name: "Desert", color: "#ccae62" }
        ]
    },
    {
        paletteName: "Flat UI Colors Indian",
        id: "flat-ui-colors-indian",
        emoji: "🇮🇳",
        colors: [
            { name: "OrchidOrange", color: "#FEA47F" },
            { name: "SpiroDiscoBall", color: "#25CCF7" },
            { name: "HoneyGlow", color: "#EAB543" },
            { name: "SweetGarden", color: "#55E6C1" },
            { name: "FallingStar", color: "#CAD3C8" },
            { name: "RichGardenia", color: "#F97F51" },
            { name: "ClearChill", color: "#1B9CFC" },
            { name: "WhitePepper", color: "#F8EFBA" },
            { name: "Keppel", color: "#58B19F" },
            { name: "ShipsOfficer", color: "#2C3A47" },
            { name: "FieryFuchsia", color: "#B33771" },
            { name: "BlueBell", color: "#3B3B98" },
            { name: "GeorgiaPeach", color: "#FD7272" },
            { name: "OasisStream", color: "#9AECDB" },
            { name: "BrightUbe", color: "#D6A2E8" },
            { name: "MagentaPurple", color: "#6D214F" },
            { name: "EndingNavyBlue", color: "#182C61" },
            { name: "SasquatchSocks", color: "#FC427B" },
            { name: "PineGlade", color: "#BDC581" },
            { name: "HighlighterLavender", color: "#82589F" }
        ]
    },
    {
        paletteName: "Flat UI Colors French",
        id: "flat-ui-colors-french",
        emoji: "🇫🇷",
        colors: [
            { name: "FlatFlesh", color: "#fad390" },
            { name: "MelonMelody", color: "#f8c291" },
            { name: "Livid", color: "#6a89cc" },
            { name: "Spray", color: "#82ccdd" },
            { name: "ParadiseGreen", color: "#b8e994" },
            { name: "SquashBlossom", color: "#f6b93b" },
            { name: "MandarinRed", color: "#e55039" },
            { name: "AzraqBlue", color: "#4a69bd" },
            { name: "Dupain", color: "#60a3bc" },
            { name: "AuroraGreen", color: "#78e08f" },
            { name: "IcelandPoppy", color: "#fa983a" },
            { name: "TomatoRed", color: "#eb2f06" },
            { name: "YueGuangBlue", color: "#1e3799" },
            { name: "GoodSamaritan", color: "#3c6382" },
            { name: "Waterfall", color: "#38ada9" },
            { name: "CarrotOrange", color: "#e58e26" },
            { name: "JalapenoRed", color: "#b71540" },
            { name: "DarkSapphire", color: "#0c2461" },
            { name: "ForestBlues", color: "#0a3d62" },
            { name: "ReefEncounter", color: "#079992" }
        ]
    }
];

import chroma from 'chroma-js';

const levels = [50, 100, 200, 300, 400, 500, 600, 700, 800, 900];

const generatePalette = (starterPalette) => {
    let newPalette = {
        paletteName: starterPalette.paletteName,
        id: starterPalette.id,
        emoji: starterPalette.emoji,
        colors: {}
    };

    for (let level of levels) {
        newPalette.colors[level] = [];
    }

    for (let color of starterPalette.colors) {
        let scale = generateScale(color.color, 10).reverse();
        for (let i in scale) {
            newPalette.colors[levels[i]].push({
                name: `${color.name} ${levels[i]}`,
                id: color.name.toLowerCase().replace(/ /g, '-'),
                hex: scale[i],
                rgb: chroma(scale[i]).css().replace(/,/g, ', '),
                rgba: chroma(scale[i]).css().replace('rgb', 'rgba').replace(')', ',1.0)').replace(/,/g, ', ')
            })
        }
    }

    return newPalette;
}

const getRange = (hexColor) => {
    const end = '#fff';

    return [
        chroma(hexColor).darken(1.4).hex(),
        hexColor,
        end
    ]
}

const generateScale = (hexColor, numOfColors) => {
    return chroma.scale(getRange(hexColor)).mode('lab').colors(numOfColors);
}

export { generatePalette };

print(df_ranked)

    ranking               oil  boil_temp
0         1           avocado        270
1         2         sunflower        252
2         3       beef_tallow        250
3         3  butter_clarified        250
4         3           mustard        250
5         4              palm        235
6         5              corn        230
7         6         grapeseed        216
8         7            canola        204
9         8           coconut        200
10        9          olive_ev        160
11       10            butter        150

print(df_ranked.loc[df_ranked['ranking'].isin([3])])

 ranking               oil  boil_temp
2        3       beef_tallow        250
3        3  butter_clarified        250
4        3           mustard        250

beef_tallow, 250
butter_clarified, 250
mustard, 250

Oil with third highest boiling temperature: beef_tallow, butter_clarified, mustard

for i in df_ranked['ranking'].items():
  for x in df_ranked['oil'].items():
    if (i==3):
       print(f'Oil with third highest boiling temperature:{x}')

df['ranking']=df['boil_temp'].rank(ascending=False)
df = df.set_index('ranking')

df_ranked = df.sort_values(by=['ranking'],ascending=True)
print(df_ranked)

                      oil  boil_temp
Ranking                             
1.0               avocado        270
2.0             sunflower        252
4.0           beef_tallow        250
4.0      butter_clarified        250
4.0               mustard        250
6.0                  palm        235
7.0                  corn        230
8.0             grapeseed        216
9.0                canola        204
10.0              coconut        200
11.0             olive_ev        160
12.0               butter        150

                      oil  boil_temp
Ranking                             
1.0               avocado        270
2.0             sunflower        252
3.0           beef_tallow        250
3.0      butter_clarified        250
3.0               mustard        250
4.0                  palm        235
5.0                  corn        230
6.0             grapeseed        216
7.0                canola        204
8.0               coconut        200
9.0              olive_ev        160
10.0               butter        150

class state:

#creating a function of state
    def __init__(self,state_name,capital,population,flower):
        self.state_name=state_name
        self.capital=capital
        self.population=population
        self.flower=flower

def five_max_population(state_list):
    states = []
    populations = []
    for state in sorted([state.population for state in state_list], reverse=True):
        for state in state_list[:5]:
            states.append(state.state_name)
            populations.append(state.population)
    plt.bar(states, populations)
    plt.title('Top 5 Populated States')
    plt.xlabel('State')
    plt.ylabel('Population')
    plt.show()

state_list = []

s=state('Alabama','Montgomery',4918689,  'Camellia')
state_list.append(s)
s=state('Alaska','Juneau',727951,  'Forget Me Not')
state_list.append(s)
s=state( 'Arizona','Phoenix',7399410,  'Saguaro Cactus Blossom')
state_list.append(s)
s=state( 'Arkansas','Little Rock',3025875,  'Apple Blossom')
state_list.append(s)
s=state( 'California','Sacramento',39562858,  'California Poppy')
state_list.append(s)
s=state( 'Colorado','Denver',5826185,  'White and Lavender Columbine')
state_list.append(s)
s=state( 'Connecticut','Hartford',3559054,  'Mountain Laurel')
state_list.append(s)
s=state( 'Delaware','Dover',982049,  'Peach Blossom')
state_list.append(s)
s=state( 'Florida','Tallahassee',21711157,  'Orange Blossom')
state_list.append(s)
s=state( 'Georgia','Atlanta',10723715,  'Cherokee Rose')
state_list.append(s)
s=state( 'Hawaii','Honolulu',1411151,  'Hibiscus')
state_list.append(s)
s=state( 'Idaho','Boise',1823594,  'Syringa')
state_list.append(s)
s=state( 'Illinois','Springfield',12620571,  'Purple Violet')
state_list.append(s)
s=state( 'Indiana','Indianapolis',6768941,  'Peony')
state_list.append(s)
s=state( 'Iowa','Des Moines',3161522,  'Wild Prairie Rose')
state_list.append(s)
s=state( 'Kansas','Topeka',2915269,  'Sunflower')
state_list.append(s)
s=state( 'Kentucky',' Frankfort',4474193,  'Goldenrod')
state_list.append(s)
s=state( 'Louisiana','Baton Rouge',4637898,  'Magnolia')
state_list.append(s)
s=state( 'Maine','Augusta',1349367,'White Pine Cone and Tassel')
state_list.append(s)
s=state( 'Maryland','Annapolis',6055558,  'Black-Eyed Susan')
state_list.append(s)
s=state( 'Massachusetts','Boston',6902371,  'Mayflower')
state_list.append(s)
s=state( 'Michigan','Lansing',9989642,  'Apple Blossom')
state_list.append(s)
s=state( 'Minnesota','Saint Paul',5673015,  'Pink and White Lady Slipper')
state_list.append(s)
s=state( 'Mississippi','Jackson',2971278,  'Magnolia')
state_list.append(s)
s=state( 'Missouri','Jefferson City',6153233,  'White Hawthorn Blossom')
state_list.append(s)
s=state( 'Montana','Helena',1076891,  'Bitterroot')
state_list.append(s)
s=state( 'Nebraska','Lincoln',1943202,  'Goldenrod')
state_list.append(s)
s=state( 'Nevada','Carson City',3132971,  'Sagebrush')
state_list.append(s)
s=state( 'New Hampshire','Concord',1365957,  'Purple Lilac')
state_list.append(s)
s=state( 'New Jersey','Trenton',8878355,  'Violet')
state_list.append(s)
s=state( 'New Mexico','Santa Fe',2100917,  'Yucca Flower')
state_list.append(s)
s=state( 'New York','Albany',19376771,  'Rose')
state_list.append(s)
s=state( 'North Carolina','Raleigh',10594553,  'Dogwood')
state_list.append(s)
s=state( 'Ohio','Columbus',  11701859,'Scarlet Carnation')
state_list.append(s)
s=state( 'Oklahoma','Oklahoma City',3973707,  'Mistletoe')
state_list.append(s)
s=state( 'Oregon','Salem',4253588,'Oregon Grape')
state_list.append(s)
s=state( 'Pennsylvania','Harrisburg',12803056,  'Mountain Laurel')
state_list.append(s)
s=state( 'Rhode Island','Providence',1060435,  'Violet')
state_list.append(s)
s=state( 'South Carolina','Columbia',5213272,  'Yellow Jessamine')
state_list.append(s)
s=state( 'North Dakota','Bismarck',766044,  'Wild Prairie Rose')
state_list.append(s)
s=state( 'South Dakota','Pierre',890620,  'Pasque Flower')
state_list.append(s)
s=state( 'Tennessee','Nashville',6886717,  'Iris')
state_list.append(s)
s=state( 'Texas','Austin',29363096,  'Bluebonnet')
state_list.append(s)
s=state( 'Utah','Salt Lake City',3258366,  'Sego Lily')
state_list.append(s)
s=state( 'Tennessee','Nashville',4918689,  'Iris')
state_list.append(s)
s=state( 'Vermont','Montpelier',623620,  'Red Clover')
state_list.append(s)
s=state( 'Virginia','Richmond',8569752,  'Dogwood')
state_list.append(s)
s=state( 'Washington','Olympia',7705917,  'Pink Rhododendron')
state_list.append(s)
s=state( 'West Virginia','Charleston',1780003,  'Rhododendron')
state_list.append(s)
s=state( 'Wisconsin','Madison',5837462,  'Wood Violet')
state_list.append(s)
s=state( 'Wyoming','Cheyenne',579917,  'Indian Paintbrush')
state_list.append(s)

    import SwiftUI

struct RecipeView: View {
    @State var recipeId: Int
    @State var data = SpecificMealData(
        specificMealRoulette:
            SpecificMealRoulette(
                id: 0,
                title: "Default Title",
                picture: "Default Image",
                description: "Default Description",
                Ingredients: "Default Ingredients"))
    
    
    var body: some View {
        VStack {
            Text(data.specificMealRoulette.title)
        }.onAppear{
            getData(id: recipeId)
        }
    }
    
    
    func getData(id: Int) {
        print("TAG Entered ID I FUNC")
        let urlString = "https://playground.devskills.co/api/rest/meal-roulette-app/meals/\(4)"
        let url = URL(string: urlString)
        
        URLSession.shared.dataTask(with: url!) {data, _ , error in
            DispatchQueue.main.async {
                if let data = data {
                    do {
                        let decoder = JSONDecoder()
                        let decodedData = try decoder.decode(SpecificMealData.self, from: data)
                        self.data = decodedData
                    } catch {
                        print("TAG Error!", error)
                    }
                }
            }
        }.resume()
    }
}

    import Foundation

struct MealsData: Decodable {
    var mealRoulette: [MealRoulette]
    
    enum CodingKeys: String, CodingKey {
        case mealRoulette = "meal_roulette_app_meals"
    }
}

struct MealRoulette: Decodable, Hashable {
    var id: Int
    var title: String
    var picture: String
}

struct SpecificMealData: Decodable {
    var specificMealRoulette: SpecificMealRoulette
    
    enum CodingKeys: String, CodingKey {
        case specificMealRoulette = "meal_roulette_app_meals_by_pk"
    }
    
}

struct SpecificMealRoulette: Decodable {
    var id: Int
    var title: String
    var picture: String
    var description: String
    var Ingredients: String
}

    {
    "meal_roulette_app_meals_by_pk": {
        "id": 4,
        "title": "Thai fried prawn & pineapple rice",
        "picture": "https://firebasestorage.googleapis.com/v0/b/devskills-prod.appspot.com/o/Thai%20fried%20prawn%20%26%20pineapple%20rice.webp?alt=media&token=268c55fc-e977-496c-be36-b99d9e6eba04",
        "description": "This quick, low calorie supper is perfect for a busy weeknight. Cook your rice in advance to get ahead - run it under cold water to chill quickly, then freeze in a food bag for up to one month.",
        "ingredients": "2 tsp sunflower oil,\nbunch spring onions  greens and whites separated both sliced,\n1 green pepper  deseeded and chopped into small chunks,\n140g pineapple  chopped into bite-sized chunks,\n3 tbsp Thai green curry paste,\n4 tsp light soy sauce  plus extra to serve,\n300g cooked basmati rice (brown white or a mix - about 140g uncooked rice),\n2 large eggs  beaten,\n140g frozen peas,\n225g can bamboo shoots  drained,\n250g frozen prawns  cooked or raw,\n2-3 limes  1 juiced the rest cut into wedges to serve,\nhandful coriander leaves (optional)"
    }
}

name            product
----------------------------------
Sunflower oil       pure 180g/200ml @Rs.20
groundnut oil       gold 300g @Rs.25
Olive oil       Filter 470g/500ml @Rs.30
coconut oil     Filter 1000ml @Rs.30

select Name, product
from Logistic
where product like '%ml%'

name            product
----------------------------------
Sunflower oil       pure 180g/200ml @Rs.20
Olive oil       Filter 470g/500ml @Rs.30
coconut oil     Filter 1000ml @Rs.30

name            product
----------------------------------
Sunflower oil       pure 180g/200ml @Rs.20
Olive oil       Filter 470g/500ml @Rs.30