mirror of https://github.com/kivy/kivy.git
190 lines
7.1 KiB
Python
190 lines
7.1 KiB
Python
# ----------------------------------------------------------------------------
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# A dictionary of dicts, with only the minimum required is_selected attribute,
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# for use with examples using a simple list of integers in a list view.
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integers_dict = {str(i): {'text': str(i), 'is_selected': False}
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for i in range(100)}
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# ----------------------------------------------------------------------------
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# A dataset of fruit category and fruit data for use in examples.
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#
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# Data from http://www.fda.gov/Food/LabelingNutrition/\
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# FoodLabelingGuidanceRegulatoryInformation/\
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# InformationforRestaurantsRetailEstablishments/\
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# ucm063482.htm
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#
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# Available items for import are:
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#
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# fruit_categories
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# fruit_data_attributes
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# fruit_data_attribute_units
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# fruit_data_list_of_dicts
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# fruit_data
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#
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fruit_categories = {
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'Melons': {
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'name': 'Melons',
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'fruits': ['Cantaloupe', 'Honeydew', 'Watermelon'],
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'is_selected': False},
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'Tree Fruits': {
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'name': 'Tree Fruits',
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'fruits': ['Apple', 'Avocado', 'Banana', 'Nectarine', 'Peach', 'Pear',
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'Pineapple', 'Plum', 'Cherry'],
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'is_selected': False},
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'Citrus Fruits': {
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'name': 'Citrus Fruits',
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'fruits': ['Grapefruit', 'Lemon', 'Lime', 'Orange', 'Tangerine'],
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'is_selected': False},
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'Other Fruits': {
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'name': 'Other Fruits',
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'fruits': ['Grape', 'Kiwifruit', 'Strawberry'],
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'is_selected': False}}
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fruit_data_list_of_dicts = [
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{
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'name':'Apple',
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'Serving Size': '1 large (242 g/8 oz)',
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'data': [130, 0, 0, 0, 0, 0, 260, 7, 34, 11, 5, 20, 25, 1, 2, 8, 2, 2],
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'is_selected': False},
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{
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'name':'Avocado',
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'Serving Size': '1/5 medium (30 g/1.1 oz)',
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'data': [50, 35, 4.5, 7, 0, 0, 140, 4, 3, 1, 1, 4, 0, 1, 0, 4, 0, 2],
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'is_selected': False},
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{
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'name':'Banana',
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'Serving Size': '1 medium (126 g/4.5 oz)',
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'data': [110, 0, 0, 0, 0, 0, 450, 13, 30, 10, 3, 12, 19,
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1, 2, 15, 0, 2],
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'is_selected': False},
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{
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'name':'Cantaloupe',
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'Serving Size': '1/4 medium (134 g/4.8 oz)',
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'data': [50, 0, 0, 0, 20, 1, 240, 7, 12, 4, 1, 4, 11, 1, 120, 80, 2, 2],
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'is_selected': False},
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{
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'name':'Grapefruit',
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'Serving Size': '1/2 medium (154 g/5.5 oz)',
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'data': [60, 0, 0, 0, 0, 0, 160, 5, 15, 5, 2, 8, 11, 1, 35, 100, 4, 0],
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'is_selected': False},
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{
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'name':'Grape',
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'Serving Size': '3/4 cup (126 g/4.5 oz)',
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'data': [90, 0, 0, 0, 15, 1, 240, 7, 23, 8, 1, 4, 20, 0, 0, 2, 2, 0],
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'is_selected': False},
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{
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'name':'Honeydew',
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'Serving Size': '1/10 medium melon (134 g/4.8 oz)',
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'data': [50, 0, 0, 0, 30, 1, 210, 6, 12, 4, 1, 4, 11, 1, 2, 45, 2, 2],
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'is_selected': False},
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{
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'name':'Kiwifruit',
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'Serving Size': '2 medium (148 g/5.3 oz)',
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'data': [90, 10, 1, 2, 0, 0, 450, 13, 20, 7, 4, 16, 13,
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1, 2, 240, 4, 2],
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'is_selected': False},
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{
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'name':'Lemon',
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'Serving Size': '1 medium (58 g/2.1 oz)',
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'data': [15, 0, 0, 0, 0, 0, 75, 2, 5, 2, 2, 8, 2, 0, 0, 40, 2, 0],
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'is_selected': False},
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{
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'name':'Lime',
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'Serving Size': '1 medium (67 g/2.4 oz)',
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'data': [20, 0, 0, 0, 0, 0, 75, 2, 7, 2, 2, 8, 0, 0, 0, 35, 0, 0],
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'is_selected': False},
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{
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'name':'Nectarine',
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'Serving Size': '1 medium (140 g/5.0 oz)',
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'data': [60, 5, 0.5, 1, 0, 0, 250, 7, 15, 5, 2, 8, 11, 1, 8, 15, 0, 2],
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'is_selected': False},
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{
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'name':'Orange',
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'Serving Size': '1 medium (154 g/5.5 oz)',
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'data': [80, 0, 0, 0, 0, 0, 250, 7, 19, 6, 3, 12, 14, 1, 2, 130, 6, 0],
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'is_selected': False},
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{
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'name':'Peach',
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'Serving Size': '1 medium (147 g/5.3 oz)',
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'data': [60, 0, 0.5, 1, 0, 0, 230, 7, 15, 5, 2, 8, 13, 1, 6, 15, 0, 2],
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'is_selected': False},
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{
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'name':'Pear',
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'Serving Size': '1 medium (166 g/5.9 oz)',
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'data': [100, 0, 0, 0, 0, 0, 190, 5, 26, 9, 6, 24, 16, 1, 0, 10, 2, 0],
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'is_selected': False},
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{
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'name':'Pineapple',
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'Serving Size': '2 slices, 3" diameter, 3/4" thick (112 g/4 oz)',
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'data': [50, 0, 0, 0, 10, 0, 120, 3, 13, 4, 1, 4, 10, 1, 2, 50, 2, 2],
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'is_selected': False},
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{
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'name':'Plum',
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'Serving Size': '2 medium (151 g/5.4 oz)',
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'data': [70, 0, 0, 0, 0, 0, 230, 7, 19, 6, 2, 8, 16, 1, 8, 10, 0, 2],
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'is_selected': False},
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{
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'name':'Strawberry',
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'Serving Size': '8 medium (147 g/5.3 oz)',
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'data': [50, 0, 0, 0, 0, 0, 170, 5, 11, 4, 2, 8, 8, 1, 0, 160, 2, 2],
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'is_selected': False},
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{
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'name':'Cherry',
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'Serving Size': '21 cherries; 1 cup (140 g/5.0 oz)',
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'data': [100, 0, 0, 0, 0, 0, 350, 10, 26, 9, 1, 4, 16, 1, 2, 15, 2, 2],
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'is_selected': False},
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{
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'name':'Tangerine',
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'Serving Size': '1 medium (109 g/3.9 oz)',
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'data': [50, 0, 0, 0, 0, 0, 160, 5, 13, 4, 2, 8, 9, 1, 6, 45, 4, 0],
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'is_selected': False},
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{
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'name':'Watermelon',
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'Serving Size':
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'1/18 medium melon; 2 cups diced pieces (280 g/10.0 oz)',
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'data': [80, 0, 0, 0, 0, 0, 270, 8, 21, 7, 1, 4, 20, 1, 30, 25, 2, 4],
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'is_selected': False}]
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fruit_data_attributes = ['(gram weight/ ounce weight)',
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'Calories',
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'Calories from Fat',
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'Total Fat',
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'Sodium',
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'Potassium',
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'Total Carbo-hydrate',
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'Dietary Fiber',
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'Sugars',
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'Protein',
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'Vitamin A',
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'Vitamin C',
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'Calcium',
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'Iron']
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fruit_data_attribute_units = ['(g)',
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'(%DV)',
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'(mg)',
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'(%DV)',
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'(mg)',
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'(%DV)',
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'(g)',
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'(%DV)',
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'(g)(%DV)',
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'(g)',
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'(g)',
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'(%DV)',
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'(%DV)',
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'(%DV)',
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'(%DV)']
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attributes_and_units = dict(list(zip(fruit_data_attributes,
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fruit_data_attribute_units)))
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fruit_data = {}
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for fruit_record in fruit_data_list_of_dicts:
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fruit_data[fruit_record['name']] = {}
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fruit_data[fruit_record['name']] = \
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dict({'name': fruit_record['name'],
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'Serving Size': fruit_record['Serving Size'],
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'is_selected': fruit_record['is_selected']},
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**dict(list(zip(list(attributes_and_units.keys()),
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fruit_record['data']))))
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