emojiNorm.py

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A library to normalize Unicode emoji sequencies. Currently broken for some cases, needs more fixing and testing. Use with care.

Usage

normalizeEmoji

Does emoji normalization

• remove redundant zero-width-joiners;
• add missing zero-width joiners;
• add emoji presentation selectors where they are needed.

normalizeEmoji('☑') # ☑️

Issues:

• some compound emoji (i.e. "👩🏿\u200d❤\ufe0f\ufe0f\u200d👨🏻") contain a sequence of 2 presentation selectors right after each other (\ufe0f\ufe0f). This function breaks those emoji since it first strips all emoji presentation selectors, and then generates them from scratch. It seems that for those emoji the only way is to remember that they are constructed this way. Currently I'm not sure how to handle them, so they are broken.

graphemeCount

Counts graphemes. Emoji must contain of 1.

o = '🚴️♂'
print(graphemeCount(o))  # 2
r = normalizeEmoji(o)
print(r, graphemeCount(r))  # 🚴‍♂️ 1

stripDiversity

Strips skin tone, hair style modifiers and gender (not all, only deity-based (Venus/Mars)) zwj seqs.

print(*stripDiversity("👩🏻‍❤︎️‍👨🏿"))  # 👩‍❤︎‍👨 {'skin': ('🏻', '🏿')}
print(*stripDiversity("👩🏻‍🦰"))  # 👩 {'hair': ('🦰',), 'skin': ('🏻',)}
print(*stripDiversity("🚵‍♂️"))  # 🚵 {'genderDeity': ('♂',)}

stripDiversityPerson

Replaces man/woman code points with person ones.

print(*stripDiversityPerson("👨‍🚒"))  # 🧑‍🚒 {'genderPerson': ('👨',)} (male firefighter to just firefighter)