gistfile1.txt

def dict_to_set (dict_):
    return set([(k, v) for k, v in dict_.iteritems()])

GENDER = {'M': 'Male',
          'F': 'Female',
          'U': 'Undefined'}

MEMBERSHIP_TYPE = {'1': 'Full member (age 50 or older)'}

MEMBERSHIP_STATUS = {'0': 'Full active member', '5': 'Expired'}

INCOME_RANGE = {'1': 'Less than $15,000',
                '2': '$15,000 - $19,999',
                '3': '$20,000 - $29,999',
                '4': '$30,000 - $39,999',
                '5': '$40,000 - $49,999',
                '6': '$50,000 - $59,999',
                '7': '$60,000 - $69,999',
                '8': '$70,000 - $79,999',
                '9': '$80,000 - $89,999',
                'A': '$90,000 - $99,999',
                'B': '$100,000 - $124,999',
                'C': '$125,000 - $149,999',
                'D': 'Greater than $149,999'}

NETWORTH_RANGE = {'1': 'Less than or equal to $0',
                  '2': '$1 - $4,999',
                  '3': '$5,000 - $9,999',
                  '4': '$10,000 - $24,999',
                  '5': '$25,000 - $49,999',
                  '6': '$50,000 - $99,999',
                  '7': '$100,000 - $249,999',
                  '8': '$250,000 - $499,999',
                  '9': '$500,000 - $999,999',
                  'A': '$1,000,000 - $1,999,999',
                  'B': '$2,000,000 +'}

LIFESTAGE_SEGMENT = {'1': 'True Blue Families',
                     '2': 'Comfortable Nests',
                     '3': 'Blue Collar Backbone',
                     '4': 'Working & On the Go',
                     '5': 'Transitioning Comfortably',
                     '6': 'Limited Resource Retirees',
                     '7': 'Engaged Golden Years',
                     '8': 'Reflection Years'}

STATE = {"AL": "Alabama",
         "AK": "Alaska",
         "AZ": "Arizona",
         "AR": "Arkansas",
         "CA": "California",
         "CO": "Colorado",
         "CT": "Connecticut",
         "DE": "Delaware",
         "DC": "District of Columbia",
         "FL": "Florida",
         "GA": "Georgia",
         "HI": "Hawaii",
         "ID": "Idaho",
         "IL": "Illinois",
         "IN": "Indiana",
         "IA": "Iowa",
         "KS": "Kansas",
         "KY": "Kentucky",
         "LA": "Louisiana",
         "ME": "Maine",
         "MT": "Montana",
         "NE": "Nebraska",
         "NV": "Nevada",
         "NH": "New Hampshire",
         "NJ": "New Jersey",
         "NM": "New Mexico",
         "NY": "New York",
         "NC": "North Carolina",
         "ND": "North Dakota",
         "OH": "Ohio",
         "OK": "Oklahoma",
         "OR": "Oregon",
         "MD": "Maryland",
         "MA": "Massachusetts",
         "MI": "Michigan",
         "MN": "Minnesota",
         "MS": "Mississippi",
         "MO": "Missouri",
         "PA": "Pennsylvania",
         "RI": "Rhode Island",
         "SC": "South Carolina",
         "SD": "South Dakota",
         "TN": "Tennessee",
         "TX": "Texas",
         "UT": "Utah",
         "VT": "Vermont",
         "VA": "Virginia",
         "WA": "Washington",
         "WV": "West Virginia",
         "WI": "Wisconsin",
         "WY": "Wyoming"}

INVESTMENT_SCORE = {"1": "1", "2": "2", "3": "3", "4": "4", "5": "5",
                    "6": "6", "7": "7", "8": "8", "9": "9", "10": "10",
                    "11": "11", "12": "12", "13": "13", "14": "14", "15": "15",
                    "16": "16", "17": "17", "18": "18", "19": "19", "20": "20"}

CHILDREN_SCORE = {"1": "1", "2": "2", "3": "3", "4": "4", "5": "5",
                  "6": "6", "7": "7", "8": "8", "9": "9", "10": "10",
                  "11": "11", "12": "12", "13": "13", "14": "14", "15": "15",
                  "16": "16", "17": "17", "18": "18", "19": "19", "20": "20"}

WEBUSE_SCORE = {"1": "1", "2": "2", "3": "3", "4": "4", "5": "5",
                "6": "6", "7": "7", "8": "8", "9": "9", "10": "10",
                "11": "11", "12": "12", "13": "13", "14": "14", "15": "15",
                "16": "16", "17": "17", "18": "18", "19": "19", "20": "20"}

# This dictionary gets returned by choices resource
CHOICES = {
        'gender': GENDER,
        'membership_type': MEMBERSHIP_TYPE,
        'membership_status': MEMBERSHIP_STATUS,
        'income_range': INCOME_RANGE,
        'networth_range': NETWORTH_RANGE,
        'lifestage_segment': LIFESTAGE_SEGMENT,
        'state': STATE,
        'investment_score': INVESTMENT_SCORE,
        'children_score': CHILDREN_SCORE,
        'webuse_score': WEBUSE_SCORE
        }