fjord | Fjord , F # programming language for the JVM | Runtime Evironment library

.row1 {
    overflow-x: auto;
    overflow-y: hidden;
    white-space: nowrap;
}
.column {
    display: inline-block;
    width: 16.66%;
}

 

 
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  /* The Modal (background) */
.modal {
    display: none;
    position: fixed;
    z-index: 1;
    padding-top: 50px;
    left: 0;
    top: 0;
    width: 100%;
    height: 100%;
    overflow: auto;
    /* Enable scroll if needed */
    background-color: rgb(0, 0, 0);
    /* Fallback color */
    background-color: rgba(0, 0, 0, 0.8);
}

/* Modal Content */
.modal-content {
    margin: auto;
    display: block;
    background-color: #f2f2f2;
    border: none;
    width: 100%;
    height: 100%;
    max-width: 1000px;
    max-height: 70px;
}

/* The Close Button */
.close {
    color: white !important;
    position: absolute;
    top: 10px;
    right: 25px;
    font-size: 30px !important;
    font-weight: bold;
}

.close:hover,
.close:focus {
    color: #999 !important;
    text-decoration: none;
    cursor: pointer;
}


mySlides {
    display: none;
}

.cursor {
    cursor: pointer;
}

.prev,
.next {
    cursor: pointer;
    position: absolute;
    top: 40%;
    width: auto;
    padding: 16px;
    /*    padding-right: 25px;*/
    margin-top: -30px;
    color: white;
    font-weight: bold;
    font-size: 20px;
    border-radius: 0 10px 10px 0;
    user-select: none;
    -webkit-user-select: none;
}

/* Position the "next button" to the right */
.next {
    right: 0;
    border-radius: 10px 0 0 10px;
}

/* On hover, add a black background color with a little bit see-through */
.prev:hover,
.next:hover {
    color: #f2f2f2;
    background-color: rgba(0, 0, 0, 0.4);
}

/* Number text (1/3 etc) */
.numbertext {
    color: #f2f2f2;
    font-size: 12px;
    padding: 8px 12px;
    position: absolute;
    top: 0;
}

/* Container for image text */
.caption-container {
    text-align: center;
    background-color: #f2f2f2;
    padding: 2px 16px;
    color: #333;
}

.row1 {
    overflow-x: auto;
    overflow-y: hidden;
    white-space: nowrap;
}

.column {
    display: inline-block;
    width: 16.66%;
}

from tkinter import *
from tkinter import ttk
# list of states
states = ['Alaska', 'Arizona', 'Arkansas']
# dictionaries
STATE_DICT = {
        'state_name': {
            'AK': 'Alaska',
            'AR': 'Arkansas',
            'AZ': 'Arizona'}
    }
PARKS_DICT = {
    'state_name': {
        'DENA': 'Alaska',
        'GLBA': 'Alaska',
        'KATM': 'Alaska',
        'KEFJ': 'Alaska',
        'HOSP': 'Arkansas',
        'GRCA': 'Arizona',
        'PEFO': 'Arizona',
        'SAGU': 'Arizona'
        },
    'park_name': {
        'DENA': 'Denali National Park',
        'GLBA': 'Glacier Bay National Park',
        'KATM': 'Katmai National Park',
        'KEFJ': 'Kenai Fjords National Park',
        'HOSP': 'Hot Springs National Park',
        'GRCA': 'Grand Canyon National Park',
        'PEFO': 'Petrified Forest National Park',
        'SAGU': 'Saguaro National Park'}
}
root2 = Tk()
root2.title("data_entry_form")
root2.geometry("800x500")

state_name_label = Label(root2, text="State Name", width=20, font=("bold", 12),bd=1, relief="raised")
state_abbr_label =  Label(root2, text="State Abbr", width=20, font=("bold", 12),bd=1, relief="raised")
park_name_label =  Label(root2, text="Park Name", width=20, font=("bold", 12),bd=1, relief="raised")
park_abbr_label =  Label(root2, text="Park Abbr", width=20, font=("bold", 12),bd=1, relief="raised")
nearest_city_label =  Label(root2, text="Nearest City", width=20, font=("bold", 12),bd=1, relief="raised")
geo_location_label =  Label(root2, text="Geo Location", width=20, font=("bold", 12),bd=1, relief="raised")
hike_name_label = Label(root2, text="Hike Name", width=20, font=("bold", 12),bd=1, relief="raised")
length_miles_label =  Label(root2, text="Length in Miles", width=20, font=("bold", 12),bd=1, relief="raised")
elevation_gain_feet_label =  Label(root2, text="Elevation in Feet", width=20, font=("bold", 12),bd=1, relief="raised")
nps_difficulty_rating_label =  Label(root2, text="NPS Difficulty Rating", width=20, font=("bold", 12),bd=1, relief="raised")
route_type_label =  Label(root2, text="Route Type", width=20, font=("bold", 12),bd=1, relief="raised")
# Data entry fields
hike_name_entry = Entry(root2,width=100)
nearest_city_entry = Entry(root2,width=50)
geo_location_entry = Entry(root2,width=50)
length_miles_entry = Entry(root2,width=50)
elevation_gain_feet_entry = Entry(root2,width=50)
# submit button
submitbutton = Button(root2, text='Submit New Hike!', width=20, bg="black", fg='white')
# comboboxes
def parks_list(e):
    p=list()
    x=list()
    for key,value in PARKS_DICT['state_name'].items():
        if value==state_combo.get():
            p.append(key)
    for k,v in PARKS_DICT['park_name'].items():
        if k in p:
            x.append(v)
            park_combo.config(value=x)
def park_abb(e):
    p=list()
    for key,value in PARKS_DICT['park_name'].items():
        if value==park_combo.get():
            p.append(key)
            park_abbr_combo.config(value=p)
def state_abb(e):
    p=list()
    for key,value in STATE_DICT['state_name'].items():
        if value==state_combo.get():
            p.append(key)
            state_abbr_combo.config(value=p)
state_combo = ttk.Combobox(root2, value=states)
state_combo.current(0)

#state_combo.bind("<>", state_abb) #-have to # this out to get the other statement to work.
state_combo.bind("<>", parks_list)

state_abbr_combo = ttk.Combobox(root2, value=[" "])
state_abbr_combo.current(0)

park_combo = ttk.Combobox(root2, value=[" "])
park_combo.current(0)
park_combo.bind("<>", park_abb)

park_abbr_combo = ttk.Combobox(root2, value=[" "])
park_abbr_combo.current(0)

nps_difficulty_rating= ttk.Combobox(root2, value =range(1,6))
route_type_combo=ttk.Combobox(root2, value=['loop','out and back','point to point'])
# Grid placement
state_name_label.grid(row=1, column=0, padx=10, pady=10)
state_combo.grid(row=1, column=1, padx=10, pady=10)
state_abbr_label.grid(row=2, column=0, padx=10, pady=10)
state_abbr_combo.grid(row=2, column=1, padx=10, pady=10)
park_name_label.grid(row=3, column=0, padx=10, pady=10)
park_combo.grid(row=3, column=1, padx=10, pady=10)
park_abbr_label.grid(row=4, column=0, padx=10, pady=10)
park_abbr_combo.grid(row=4, column=1, padx=10, pady=10)
nearest_city_label.grid(row=5, column=0, padx=10, pady=10)
nearest_city_entry.grid(row=5, column=1, padx=10, pady=10)
geo_location_label.grid(row=6, column=0, padx=10, pady=10)
geo_location_entry.grid(row=6, column=1, padx=10, pady=10)
hike_name_label.grid(row=7, column=0, padx=10, pady=10)
hike_name_entry.grid(row=7, column=1, padx=10, pady=10)
length_miles_label.grid(row=8, column=0, padx=10, pady=10)
length_miles_entry.grid(row=8, column=1, padx=10, pady=10)
elevation_gain_feet_label.grid(row=9, column=0, padx=10, pady=10)
elevation_gain_feet_entry.grid(row=9, column=1, padx=10, pady=10)
nps_difficulty_rating_label.grid(row=10, column=0, padx=10, pady=10)
nps_difficulty_rating.grid(row=10, column=1, padx=10, pady=10)
route_type_label.grid(row=11, column=0, padx=10, pady=10)
route_type_combo.grid(row=11, column=1, padx=10, pady=10)
submitbutton.grid(row=12, column=1, padx=10, pady=10)
root2.mainloop()

const parks = [
    {
      id: 1,
      name: "Acadia",
      areaInSquareKm: 198.6,
      location: { state: "Maine" },
    },
    {
      id: 2,
      name: "Canyonlands",
      areaInSquareKm: 1366.2,
      location: { state: "Utah" },
    },
    {
      id: 3,
      name: "Crater Lake",
      areaInSquareKm: 741.5,
      location: { state: "Oregon" },
    },
    {
      id: 4,
      name: "Lake Clark",
      areaInSquareKm: 10602,
      location: { state: "Alaska" },
    },
    {
      id: 5,
      name: "Kenai Fjords",
      areaInSquareKm: 2710,
      location: { state: "Alaska" },
    },
    {
      id: 6,
      name: "Zion",
      areaInSquareKm: 595.9,
      location: { state: "Utah" },
    },
  ];

  const users = {
    "karah.branch3": {
      visited: [1],
      wishlist: [4, 6],
    },
    "dwayne.m55": {
      visited: [2, 5, 1],
      wishlist: [],
    },
    thiagostrong1: {
      visited: [5],
      wishlist: [6, 3, 2],
    },
    "don.kim1990": {
      visited: [2, 6],
      wishlist: [1],
    },
  };

getUsersForUserWishlist(users, "karah.branch3"); //> ["dwayne.m55"]
getUsersForUserWishlist(users, "dwayne.m55"); //> []

function getUsersForUserWishlist(users, userId) {
  let wish = userId.wishlist;
  return users[userId].visited.map((visited) => wish.includes(visited));
}

const parks = [
    {
      id: 1,
      name: "Acadia",
      areaInSquareKm: 198.6,
      location: { state: "Maine" },
    },
    {
      id: 2,
      name: "Canyonlands",
      areaInSquareKm: 1366.2,
      location: { state: "Utah" },
    },
    {
      id: 3,
      name: "Crater Lake",
      areaInSquareKm: 741.5,
      location: { state: "Oregon" },
    },
    {
      id: 4,
      name: "Lake Clark",
      areaInSquareKm: 10602,
      location: { state: "Alaska" },
    },
    {
      id: 5,
      name: "Kenai Fjords",
      areaInSquareKm: 2710,
      location: { state: "Alaska" },
    },
    {
      id: 6,
      name: "Zion",
      areaInSquareKm: 595.9,
      location: { state: "Utah" },
    },
  ];

  const users = {
    "karah.branch3": {
      visited: [1],
      wishlist: [4, 6],
    },
    "dwayne.m55": {
      visited: [2, 5, 1],
      wishlist: [],
    },
    thiagostrong1: {
      visited: [5],
      wishlist: [6, 3, 2],
    },
    "don.kim1990": {
      visited: [2, 6],
      wishlist: [1],
    },
  };

function userHasVisitedAllParksInState(parks, users, state, userId) {}

        
            
                
                Project Title 1
                21/69/4200
            
            
                
                Project Title 2
                21/69/4200
            
            
                
                Project Title 3
                21/69/4200
            
            
                
                Project Title 4
                21/69/4200
            
            
                
                Project Title 5
                21/69/4200
            
            
                
                Project Title 6
                21/69/4200
            
        

body, html {
            max-width: 100%;
            height: 100%;
            margin: 0;
            padding: 0;
            border: 0;
            overflow-x: hidden;
        }


        .section-projects-thumbnail-row{
            
            position: absolute;
            top: 70%;
            height: 20%;
            width: 100%;
            overflow-x: scroll;
        }

        

        /* Six columns side by side */
        .section-projects-thumbnail-col {
            float: left;
            width: 40%;
            height: 100%;
            margin: 2%;
        }

        /* Add a transparency effect for thumnbail images */
        .section-projects-thumbnail-img {
            display: block;
            width: 100%;
            height: 78%;
            opacity: 0.6;
        }

def main():
if __name__ == "__main__":
    import pandas as pd
    import numpy as np
    from tabulate import tabulate

def parks():
    park_dict = {'Alaska': ['DENA', 'Denali National Park and Preserve', 'GAAR', 'Gates of the Arctic National Park', 'GLBA',
                   'Glacier Bay National Park', 'KATM', 'Katmai National Park and Preserve', 'KEFJ',
                   'Kenai Fjords National Park', 'KOVA', 'Kobuk Valley National Park', 'LACLk', 'Lake Clark National Park',
                   'WRST', 'Wrangell – St Elias National Park and Preserve'],
        'American_Samoa': ['NSPA', 'National Park of American Samoa','.','.','.','.','.','.','.','.','.','.','.','.','.','.'],
        'Arizona': ['GRCA', 'Grand Canyon National Park', 'PEFO', 'Petrified Forest National Park', 'SAGU',
                    'Saguaro National Park','.','.','.','.','.','.','.','.','.','.'],
        'Arkansas': ['HOSP', 'Hot Springs National Park','.','.','.','.','.','.','.','.','.','.','.','.','.','.'],
        'California': ['CHIS', 'Channel Islands National Park', 'DVNP', 'Death Valley National Park', 'JOTR',
                       'Joshua Tree National Park', 'KICA', 'Kings Canyon National Park', 'LAVO',
                       'Lassen Volcanic National Park', 'REDW', 'Redwood National Park', 'SEKI',
                       'Sequoia National Park', 'YOSE','Yosemite National Park'],
        'Caolorado': ['BLCA', 'Black Canyon of the Gunnison National Park', 'GRSA',
                      'Great Sand Dunes National Park and Preserve', 'MEVE', 'Mesa Verde National Park',
                      'ROMO','Rocky Mountain National Park','.','.','.','.','.','.','.','.'],
        'Florida': ['BISC', 'Biscayne National Park', 'DRTO', 'Dry Tortugas National Park', 'EVER',
                    'Everglades National Park','.','.','.','.','.','.','.','.','.','.'],
        'Hawaii': ['HALE', 'Haleakala National Park', 'HAVO', 'Hawaii Volcanoes National Park','.','.','.','.','.','.','.','.','.','.','.','.'],
        'Kentucky': ['MACA', 'Mammoth Cave National Park','.','.','.','.','.','.','.','.','.','.','.','.','.','.'],
        'Maine': ['ACAD', 'Acadia National Park','.','.','.','.','.','.','.','.','.','.','.','.','.','.'],
        'Michigan': ['ISRO', 'Isle Royale National Park','.','.','.','.','.','.','.','.','.','.','.','.','.','.'],
        'Minnesota': ['VOYA', 'Voyageurs National Park','.','.','.','.','.','.','.','.','.','.','.','.','.','.'],
        'Montana': ['GLAC', 'Glacier National Park','.','.','.','.','.','.','.','.','.','.','.','.','.','.'],
        'Nevada': ['GRBA', 'Great Basin National Park','.','.','.','.','.','.','.','.','.','.','.','.','.','.'],
        'New_Mexico': ['CAVE', 'Carlsbad Caverns National Park','.','.','.','.','.','.','.','.','.','.','.','.','.','.'],
        'North_Carolina': ['GRSM', 'Great Smoky Mountains National Park','.','.','.','.','.','.','.','.','.','.','.','.','.','.'],
        'North_Dakota': ['THRO', 'Theodore Roosevelt National Park','.','.','.','.','.','.','.','.','.','.','.','.','.','.'],
        'Ohio': ['CUVA', 'Cuyahoga Valley National Park','.','.','.','.','.','.','.','.','.','.','.','.','.','.'],
        'Oregon': ['CRLA', 'Crater Lake National Park','.','.','.','.','.','.','.','.','.','.','.','.','.','.'],
        'South_Carolina': ['COSW', 'Congaree National Park','.','.','.','.','.','.','.','.','.','.','.','.','.','.'],
        'South_Dakota': ['BADL', 'Badlands National Park','.','.','.','.','.','.','.','.','.','.','.','.','.','.'],
        'Tennessee': ['GRSM', 'Great Smoky Mountains National Park','.','.','.','.','.','.','.','.','.','.','.','.','.','.'],
        'Texas': ['BIBE', 'Big Bend National Park', 'GUMO', 'Guadalupe Mountains National Park','','','','','','','','','','','',''],
        'US_Virgin_Islands': ['VIIS', 'Virgin Islands National Park','.','.','.','.','.','.','.','.','.','.','.','.','.','.'],
        'Utah': ['ARCH', 'Arches National Park', 'BRCA', 'Bryce Canyon National Park', 'CANY',
                 'Canyonlands National Park', 'CARE', 'Capitol Reef National Park', 'ZION', 'Zion National Park','.','.','.','.','.','.'],
        'Virginia': ['SHEN', 'Shenandoah National Park','.','.','.','.','.','.','.','.','.','.','.','.','.','.'],
        'Washington': ['MORA ', 'Mount Rainier National Park ', 'NOCA', 'North Cascades National Park', 'OLYM',
                       'Olympic National Park','.','.','.','.','.','.','.','.','.','.'],
        'Wyoming': ['GRTE', 'Grand Teton National Park', 'YELL', 'Yellowstone National Park','.','.','.','.','.','.','.','.','.','.','.','.']}
    df = pd.DataFrame(park_dict)
    df.index = np.arange(1, len(df) + 1)
    #print(tabulate(df, headers='keys', tablefmt='simple'))
    return''

def choose_state():
    state_list = [['AK', 'Alaska', 'AS', 'American Samoa', 'AZ', 'Arizona', 'AR', 'Arkansas'],
                  ['CA', 'California', 'CO', 'Colorado', 'FL', 'Florida', 'HI', 'Hawaii'],
                  ['KY', 'Kentucky', 'ME', 'Maine', 'MI', 'Michigan', 'MN', 'Minnesota'],
                  ['MT', 'Montana', 'NV', 'Nevada', 'NM', 'New Mexico', 'NC', 'North Carolina'],
                  ['ND', 'North Dakota', 'OH', 'Ohio', 'OR', 'Oregon', 'SC', 'South Carolina'],
                  ['SD', 'South Dakota', 'TN', 'Tennessee', 'TX', 'Texas', 'USVI', 'US Vergin Islands'],
                  ['UT', 'Utah', 'VA', 'Virginia', 'WA', 'Washington', 'WY', 'Wyoming']]

    statedf = pd.DataFrame(state_list, columns=['Abbr', 'State', 'Abbr', 'State', 'Abbr', 'State', 'Abbr', 'State'])
    print(tabulate(statedf, headers='keys', tablefmt='simple', showindex=False))
    while True:
        print('\nEnter the abreviation for the state you will visit\nR - Return tp previous menu\nQ - Quit')
        try:
            entry = str(input('\n').upper())
            if not entry.isalpha():
                print('please enter letters only.')
                choose_state()
                '''
                # if entry == (state abbr) in state_list, then take the full name of the state and look in (park_dict) and display the correct column)
                '''
                print(tabulate(park_dict, headers='keys', tablefmt='simple'))  # print correct column from park_dict

            elif entry == str('R'):
                choose_state()
            elif entry == str('Q'):
                print('Have a nice day.')
                exit()
            else:
                print('please enter 2 letter state abreviation.')
        except ValueError:
            print('Invalid entry')
            choose_state()
            break
    return ''

def main_menu():
    print('Select choice from menu:\n\n'
          '1 - not ready\n'
          '2 - Select state and National Park you are visiting\n'
          '3 - Quit')

    while True:
        try:
            menu_choice = int(input('\n'))
            if menu_choice == int(1):
                print('ok')
                exit()
            elif menu_choice == int(2):
                choose_state()
                break
            elif menu_choice == int(3):
                print('Exiting program')
                exit()
            else:
                print('Value not recognized.')
                exit()
        except ValueError:
            print('Invalid entry, please enter 1,2, or 3.')
            main_menu()
    return ''

print(main_menu())

import pandas as pd
import numpy as np
from tabulate import tabulate
import csv



park_dict = {
    'Alaska': ['DENA', 'Denali National Park and Preserve', 'GAAR', 'Gates of the Arctic National Park', 'GLBA',
                   'Glacier Bay National Park', 'KATM', 'Katmai National Park and Preserve', 'KEFJ',
                   'Kenai Fjords National Park', 'KOVA', 'Kobuk Valley National Park', 'LACLk',
                   'Lake Clark National Park',
                   'WRST', 'Wrangell – St Elias National Park and Preserve'],
    'American_Samoa': ['NSPA', 'National Park of American Samoa', '.', '.', '.', '.', '.', '.', '.', '.', '.', '.',
                           '.', '.', '.', '.'],
    'Arizona': ['GRCA', 'Grand Canyon National Park', 'PEFO', 'Petrified Forest National Park', 'SAGU',
                    'Saguaro National Park', '.', '.', '.', '.', '.', '.', '.', '.', '.', '.'],
    'Arkansas': ['HOSP', 'Hot Springs National Park', '.', '.', '.', '.', '.', '.', '.', '.', '.', '.', '.', '.',
                     '.', '.'],
    'California': ['CHIS', 'Channel Islands National Park', 'DVNP', 'Death Valley National Park', 'JOTR',
                       'Joshua Tree National Park', 'KICA', 'Kings Canyon National Park', 'LAVO',
                       'Lassen Volcanic National Park', 'REDW', 'Redwood National Park', 'SEKI',
                       'Sequoia National Park', 'YOSE', 'Yosemite National Park'],
    'Colorado': ['BLCA', 'Black Canyon of the Gunnison National Park', 'GRSA',
                      'Great Sand Dunes National Park and Preserve', 'MEVE', 'Mesa Verde National Park',
                      'ROMO', 'Rocky Mountain National Park', '.', '.', '.', '.', '.', '.', '.', '.'],
    'Florida': ['BISC', 'Biscayne National Park', 'DRTO', 'Dry Tortugas National Park', 'EVER',
                    'Everglades National Park', '.', '.', '.', '.', '.', '.', '.', '.', '.', '.'],
    'Hawaii': ['HALE', 'Haleakala National Park', 'HAVO', 'Hawaii Volcanoes National Park', '.', '.', '.', '.', '.',
                   '.', '.', '.', '.', '.', '.', '.'],
    'Kentucky': ['MACA', 'Mammoth Cave National Park', '.', '.', '.', '.', '.', '.', '.', '.', '.', '.', '.', '.',
                     '.', '.'],
    'Maine': ['ACAD', 'Acadia National Park', '.', '.', '.', '.', '.', '.', '.', '.', '.', '.', '.', '.', '.', '.'],
    'Michigan': ['ISRO', 'Isle Royale National Park', '.', '.', '.', '.', '.', '.', '.', '.', '.', '.', '.', '.',
                     '.', '.'],
    'Minnesota': ['VOYA', 'Voyageurs National Park', '.', '.', '.', '.', '.', '.', '.', '.', '.', '.', '.', '.',
                      '.', '.'],
    'Montana': ['GLAC', 'Glacier National Park', '.', '.', '.', '.', '.', '.', '.', '.', '.', '.', '.', '.', '.',
                    '.'],
    'Nevada': ['GRBA', 'Great Basin National Park', '.', '.', '.', '.', '.', '.', '.', '.', '.', '.', '.', '.', '.',
                   '.'],
    'New_Mexico': ['CAVE', 'Carlsbad Caverns National Park', '.', '.', '.', '.', '.', '.', '.', '.', '.', '.', '.',
                       '.', '.', '.'],
    'North_Carolina': ['GRSM', 'Great Smoky Mountains National Park', '.', '.', '.', '.', '.', '.', '.', '.', '.',
                           '.', '.', '.', '.', '.'],
    'North_Dakota': ['THRO', 'Theodore Roosevelt National Park', '.', '.', '.', '.', '.', '.', '.', '.', '.', '.',
                         '.', '.', '.', '.'],
    'Ohio': ['CUVA', 'Cuyahoga Valley National Park', '.', '.', '.', '.', '.', '.', '.', '.', '.', '.', '.', '.',
                 '.', '.'],
    'Oregon': ['CRLA', 'Crater Lake National Park', '.', '.', '.', '.', '.', '.', '.', '.', '.', '.', '.', '.', '.',
                   '.'],
    'South_Carolina': ['COSW', 'Congaree National Park', '.', '.', '.', '.', '.', '.', '.', '.', '.', '.', '.', '.',
                           '.', '.'],
    'South_Dakota': ['BADL', 'Badlands National Park', '.', '.', '.', '.', '.', '.', '.', '.', '.', '.', '.', '.',
                         '.', '.'],
    'Tennessee': ['GRSM', 'Great Smoky Mountains National Park', '.', '.', '.', '.', '.', '.', '.', '.', '.', '.',
                      '.', '.', '.', '.'],
    'Texas': ['BIBE', 'Big Bend National Park', 'GUMO', 'Guadalupe Mountains National Park', '', '', '', '', '', '',
                  '', '', '', '', '', ''],
    'US_Virgin_Islands': ['VIIS', 'Virgin Islands National Park', '.', '.', '.', '.', '.', '.', '.', '.', '.', '.',
                              '.', '.', '.', '.'],
    'Utah': ['ARCH', 'Arches National Park', 'BRCA', 'Bryce Canyon National Park', 'CANY',
                 'Canyonlands National Park', 'CARE', 'Capitol Reef National Park', 'ZION', 'Zion National Park', '.',
                 '.', '.', '.', '.', '.'],
    'Virginia': ['SHEN', 'Shenandoah National Park', '.', '.', '.', '.', '.', '.', '.', '.', '.', '.', '.', '.',
                     '.', '.'],
    'Washington': ['MORA ', 'Mount Rainier National Park ', 'NOCA', 'North Cascades National Park', 'OLYM',
                       'Olympic National Park', '.', '.', '.', '.', '.', '.', '.', '.', '.', '.'],
    'Wyoming': ['GRTE', 'Grand Teton National Park', 'YELL', 'Yellowstone National Park', '.', '.', '.', '.', '.',
                    '.', '.', '.', '.', '.', '.', '.']}
pdf = pd.DataFrame(park_dict)
pdf.index = np.arange(1, len(pdf) + 1)
#print(tabulate(pdf, headers='keys', tablefmt='simple'))
pdf.to_csv(r'park_dict.csv')



state_list = [['AK', 'Alaska', 'AS', 'American Samoa', 'AZ', 'Arizona', 'AR', 'Arkansas'],
                  ['CA', 'California', 'CO', 'Colorado', 'FL', 'Florida', 'HI', 'Hawaii'],
                  ['KY', 'Kentucky', 'ME', 'Maine', 'MI', 'Michigan', 'MN', 'Minnesota'],
                  ['MT', 'Montana', 'NV', 'Nevada', 'NM', 'New Mexico', 'NC', 'North Carolina'],
                  ['ND', 'North Dakota', 'OH', 'Ohio', 'OR', 'Oregon', 'SC', 'South Carolina'],
                  ['SD', 'South Dakota', 'TN', 'Tennessee', 'TX', 'Texas', 'USVI', 'US Virgin Islands'],
                  ['UT', 'Utah', 'VA', 'Virginia', 'WA', 'Washington', 'WY', 'Wyoming']]

sdf = pd.DataFrame(state_list, columns=['Abbr', 'State', 'Abbr', 'State', 'Abbr', 'State', 'Abbr', 'State'])
sdf = pd.DataFrame({'abbr': sdf['Abbr'].values.flatten(), 'state': sdf['State'].values.flatten()})
#sdf.to_csv(r'state_dict.csv')
#print(tabulate(sdf, headers='keys', tablefmt='simple', showindex=False))

def trail_finder():
    with open('AllTrails data.csv', 'r') as f:
        all_park_data = csv.reader(f)
        all_park_info = list(all_park_data)
#   print('\n'.join(' '.join(elems) for elems in all_park_info)) #just to verify data
    f.close()


def main():



    def choose_destination():
        print(tabulate(sdf, headers='keys', tablefmt='simple', showindex=False))
        # user input
        entry = str(input('Enter the abreviation for the state you will visit:\n').upper())
        while True:
            try:
                val = sdf[sdf['abbr'] == entry]
                state_name = val.values.flatten()[1]
                print(pd.tabulate(pdf))
                ndf = {state_name: pdf[state_name].values}
                print(tabulate(ndf, headers='keys', tablefmt='simple'))
                # error checking
                if not entry.isalpha():
                    print('please enter letters only.')
                else:
                    print('please enter 2 letter state abreviation.')
            except ValueError:
                print('Invalid entry')
                break
        return ''

    def fitness_menu():
        print('1 - Determine fitness level\n2 - proceed to Trail Finder\n3 - Quit')
        while True:
            try:
                menu_choice = int(input('\n'))
                if menu_choice == int(1):
                    print('FIXME- build fitness level code')
                    break
                elif menu_choice == int(2):
                    choose_destination()
                    break
                elif menu_choice == int(3):
                    print('Exiting program')
                    exit()
                else:
                    print('Invalid entry, please enter 1, 2, or 3.')
                    exit()
            except ValueError:
                print(ValueError)
                exit()
        return ''


    def entrance_menu():

        print('Select choice from menu:\n\n'
            '1 - To use fitness calculator to determine fitness level(optional) \n'
            '2 - To choose destination\n'
            '3 - To Quit')

        while True:
            try:
                menu_choice = int(input('\n'))
                if menu_choice == int(1):
                    fitness_menu()
                    break
                elif menu_choice == int(2):
                    choose_destination()
                    break
                elif menu_choice == int(3):
                    print('Exiting program')
                    exit()
                else:
                    print('Invalid entry, please enter 1, 2, or 3.')
                    entrance_menu()
            except ValueError:
                print(ValueError)
                exit()
        return ''

    entrance_menu()


main()

git push heroku master

remote: ----------------------------
remote: [INFO]     driver: com.mysql.jdbc.Driver
remote: [INFO]     url: jdbc:mysql://red.obambu.com:3306/dbName?useUnicode=true&characterEncoding=utf8&useSSL=false&useLegacyDatetimeCode=false&serverTimezone=UTC
remote: [INFO]     username: username
remote: [INFO]     password: *****
remote: [INFO]     use empty password: false
remote: [INFO]     properties file: null
remote: [INFO]     properties file will override? false
remote: [INFO]     prompt on non-local database? false
remote: [INFO]     clear checksums? false
remote: [INFO]     changeLogDirectory: null
remote: [INFO]     changeLogFile: src/main/resources/config/liquibase/master.xml
remote: [INFO]     context(s): null
remote: [INFO]     label(s): null
remote: [INFO]     number of changes to apply: 0
remote: [INFO]     drop first? false
remote: [INFO] ------------------------------------------------------------------------
remote: Loading class `com.mysql.jdbc.Driver'. This is deprecated. The new driver class is `com.mysql.cj.jdbc.Driver'. The driver is automatically registered via the SPI and manual loading of the driver class is generally unnecessary.
remote: [INFO] ------------------------------------------------------------------------
remote: [INFO] BUILD FAILURE
remote: [INFO] ------------------------------------------------------------------------
remote: [INFO] Total time:  14.608 s
remote: [INFO] Finished at: 2020-08-21T14:36:52Z
remote: [INFO] ------------------------------------------------------------------------
remote: [ERROR] Failed to execute goal org.liquibase:liquibase-maven-plugin:3.9.0:update (default-cli) on project test-aoo:
remote: [ERROR] Error setting up or running Liquibase:
remote: [ERROR] liquibase.exception.DatabaseException: java.sql.SQLException: Access denied for user 'username'@'ec2-11-111-111-11.eu-west-1.compute.amazonaws.com' (using password: YES)
remote: [ERROR] -> [Help 1]
remote: [ERROR]
remote: [ERROR] To see the full stack trace of the errors, re-run Maven with the -e switch.
remote: [ERROR] Re-run Maven using the -X switch to enable full debug logging.
remote: [ERROR]
remote: [ERROR] For more information about the errors and possible solutions, please read the following articles:
remote: [ERROR] [Help 1] http://cwiki.apache.org/confluence/display/MAVEN/MojoExecutionException
remote: Waiting for release... failed.
To https://git.heroku.com/quiet-fjord-74508.git
   34d00e5..3ad885c  master -> master

function openModal() {
  document.getElementById("myModal").style.display = "block";
}

function closeModal() {
  document.getElementById("myModal").style.display = "none";
}

var slideIndex = 1;
showSlides(slideIndex);

function plusSlides(n) {
  showSlides(slideIndex += n);
}

function currentSlide(n) {
  showSlides(slideIndex = n);
}

function showSlides(n) {
  var i;
  var slides = document.getElementsByClassName("mySlides");
  var dots = document.getElementsByClassName("demo");
  var captionText = document.getElementById("caption");
  if (n > slides.length) {
    slideIndex = 1
  }
  if (n < 1) {
    slideIndex = slides.length
  }
  for (i = 0; i < slides.length; i++) {
    slides[i].style.display = "none";
  }
  for (i = 0; i < dots.length; i++) {
    dots[i].className = dots[i].className.replace(" active", "");
  }
  slides[slideIndex - 1].style.display = "inline";
  dots[slideIndex - 1].className += " active";
  captionText.innerHTML = dots[slideIndex - 1].alt;
}

body {
  font-family: Verdana, sans-serif;
  margin: 0;
}

* {
  box-sizing: border-box;
}

.row>.column {
  padding: 0 8px;
}

.row:after {
  content: "";
  display: table;
  clear: both;
}

.column {
  float: left;
  width: 25%;
  background-color: black;
}


/* The Modal (background) */

.modal {
  display: none;
  position: fixed;
  z-index: 1;
  padding-top: 100px;
  left: 0;
  top: 0;
  width: auto;
  height: 100%;
  overflow: auto;
  background-color: black;
}


/* Modal Content */

.modal-content {
  position: relative;
  background-color: red;
  margin: auto;
  padding: 0;
  width: auto;
}


/* The Close Button */

.close {
  color: white;
  position: absolute;
  top: 10px;
  right: 25px;
  font-size: 35px;
  font-weight: bold;
}

.close:hover,
.close:focus {
  color: #999;
  text-decoration: none;
  cursor: pointer;
}

.mySlides {
  display: none;
}

.cursor {
  cursor: pointer;
}


/* Next & previous buttons */

.prev,
.next {
  cursor: pointer;
  position: absolute;
  top: 50%;
  width: auto;
  padding: 16px;
  margin-top: -50px;
  color: white;
  font-weight: bold;
  font-size: 20px;
  transition: 0.6s ease;
  border-radius: 0 3px 3px 0;
  user-select: none;
  -webkit-user-select: none;
}


/* Position the "next button" to the right */

.next {
  right: 0;
  border-radius: 3px 0 0 3px;
}


/* On hover, add a black background color with a little bit see-through */

.prev:hover,
.next:hover {
  background-color: rgba(0, 0, 0, 0.8);
}


/* Number text (1/3 etc) */

.numbertext {
  color: #f2f2f2;
  font-size: 12px;
  padding: 8px 12px;
  position: absolute;
  top: 0;
}

img {
  margin-bottom: -4px;
}

.caption-container {
  text-align: center;
  background-color: black;
  padding: 2px 16px;
  color: white;
}

.demo {
  opacity: 0.6;
}

.active,
.demo:hover {
  opacity: 1;
}

img.hover-shadow {
  transition: 0.3s;
}

.hover-shadow:hover {
  box-shadow: 0 4px 8px 0 rgba(0, 0, 0, 0.2), 0 6px 20px 0 rgba(0, 0, 0, 0.19);
}

Lightbox


  
    
  
  
    
  
  
    
  
  
    
  



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