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Revision b36b51d687c5562713267577a305d01fa87e3302 authored by Rick Gerkin on 30 March 2023, 18:35:06 UTC, committed by Rick Gerkin on 30 March 2023, 18:35:06 UTC
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base.py
"""Functions for RATA analysis"""
from pathlib import Path

import IPython.display
import pandas as pd
import seaborn as sns


DATA_PATH = Path(__file__).parent.parent / 'data'

FIGURE_PATH = Path(__file__).parent.parent / 'figures'

ODOR_LABEL_LIST = [
u'alcoholic', u'aldehydic', u'alliaceous', u'almond', u'amber', u'animal',
u'anisic', u'apple', u'apricot', u'aromatic', u'balsamic', u'banana',
u'beefy', u'bergamot', u'berry', u'bitter', u'black currant', u'brandy',
u'burnt', u'buttery', u'cabbage', u'camphoreous', u'caramellic', u'cedar',
u'celery', u'chamomile', u'cheesy', u'cherry', u'chocolate', u'cinnamon',
u'citrus', u'clean', u'clove', u'cocoa', u'coconut', u'coffee', u'cognac',
u'cooked', u'cooling', u'cortex', u'coumarinic', u'creamy', u'cucumber',
u'dairy', u'dry', u'earthy', u'ethereal', u'fatty', u'fermented', u'fishy',
u'floral', u'fresh', u'fruit skin', u'fruity', u'garlic', u'gassy',
u'geranium', u'grape', u'grapefruit', u'grassy', u'green', u'hawthorn',
u'hay', u'hazelnut', u'herbal', u'honey', u'hyacinth', u'jasmin', u'juicy',
u'ketonic', u'lactonic', u'lavender', u'leafy', u'leathery', u'lemon',
u'lily', u'malty', u'meaty', u'medicinal', u'melon', u'metallic', u'milky',
u'mint', u'muguet', u'mushroom', u'musk', u'musty', u'natural', u'nutty',
u'odorless', u'oily', u'onion', u'orange', u'orangeflower', u'orris',
u'ozone', u'peach', u'pear', u'phenolic', u'pine', u'pineapple', u'plum',
u'popcorn', u'potato', u'powdery', u'pungent', u'radish', u'raspberry',
u'ripe', u'roasted', u'rose', u'rummy', u'sandalwood', u'savory', u'sharp',
u'smoky', u'soapy', u'solvent', u'sour', u'spicy', u'strawberry',
u'sulfurous', u'sweaty', u'sweet', u'tea', u'terpenic', u'tobacco',
u'tomato', u'tropical', u'vanilla', u'vegetable', u'vetiver', u'violet',
u'warm', u'waxy', u'weedy', u'winey', u'woody'
]

MONELL_CLASS_LIST = [
    'Green', 'Grassy', 'Cucumber', 'Tomato', 'Hay', 'Herbal', 'Mint',
    'Woody', 'Pine', 'Floral', 'Jasmine', 'Rose', 'Honey', 'Fruity',
    'Citrus', 'Lemon', 'Orange', 'Tropical', 'Berry', 'Peach', 'Apple',
    'Sour', 'Fermented', 'Alcoholic', 'Winey', 'Rummy', 'Caramellic',
    'Vanilla', 'Spicy', 'Coffee', 'Smoky', 'Roasted', 'Meaty', 'Nutty',
    'Fatty', 'Coconut', 'Waxy', 'Dairy', 'Buttery', 'Cheesy', 'Sulfurous',
    'Garlic', 'Earthy', 'Musty', 'Animal', 'Musk', 'Powdery', 'Sweet',
    'Cooling', 'Sharp', 'Medicinal', 'Camphoreous', 'Metallic', 'Ozone',
    'Fishy'
]

CLUSTERED_MONELL_CLASS_LIST = ['Fishy',
'Sour', 'Fermented',
'Earthy', 'Musty', 'Metallic', 'Ozone', 'Smoky', 'Animal',
'Mint', 'Cooling', 'Medicinal', 'Camphoreous', 'Alcoholic', 'Sharp',
'Cucumber', 'Spicy', 'Green', 'Grassy', 'Pine', 'Herbal', 'Hay', 'Woody',
'Coconut', 'Coffee', 'Caramellic', 'Vanilla',
'Buttery', 'Dairy', 'Cheesy', 'Tomato', 'Garlic',
'Fatty', 'Meaty', 'Sulfurous', 'Roasted', 'Nutty',
'Lemon', 'Citrus', 'Orange',
'Sweet', 'Peach', 'Tropical', 'Apple', 'Fruity', 'Berry', 'Honey', 'Winey', 'Rummy',
'Floral', 'Jasmine', 'Rose', 'Musk', 'Powdery', 'Waxy',
]

import collections
assert set(MONELL_CLASS_LIST) == set(CLUSTERED_MONELL_CLASS_LIST), "Missing labels {}".format(set(MONELL_CLASS_LIST) ^ CLUSTERED_MONELL_CLASS_LIST)
assert len(MONELL_CLASS_LIST) == len(CLUSTERED_MONELL_CLASS_LIST), "Duplicate labels {} {}".format(collections.Counter(MONELL_CLASS_LIST).most_common(3),
                                                                                                   collections.Counter(CLUSTERED_MONELL_CLASS_LIST).most_common(3))

def translate_monell_google_odor(odor_name):
    return {'Jasmine': 'jasmin'}.get(odor_name, odor_name).lower()

CLASS_LIST = [translate_monell_google_odor(c) for c in MONELL_CLASS_LIST]

def set_visual_settings(dpi: int = 75, usetex: bool = False, font: str = 'Fira Sans') -> None:
    """"Change matplotlib settings."""
    sns.set(font_scale=1.25)
    sns.set_style('whitegrid')
    IPython.display.set_matplotlib_formats('retina')
    pd.set_option('display.precision', 3)

def print_module_versions(module_list):
    """Print module versions"""
    for module in module_list:
        print(f'{module.__name__:<10s}: {module.__version__}')
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