97 lines
2.3 KiB
Python
97 lines
2.3 KiB
Python
from __future__ import print_function
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import os
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from os import path
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import subprocess
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OUTPUT_DIR = '/tmp/placeholder_emoji'
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def generate_image(name, text):
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print(name, text.replace('\n', '_'))
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subprocess.check_call(
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['convert', '-size', '100x100', 'label:%s' % text,
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'%s/%s' % (OUTPUT_DIR, name)])
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def is_color_patch(cp):
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return cp >= 0x1f3fb and cp <= 0x1f3ff
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def has_color_patch(values):
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for v in values:
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if is_color_patch(v):
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return True
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return False
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def regional_to_ascii(cp):
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return unichr(ord('A') + cp - 0x1f1e6)
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def is_flag_sequence(values):
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if len(values) != 2:
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return False
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for v in values:
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v -= 0x1f1e6
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if v < 0 or v > 25:
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return False
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return True
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def is_keycap_sequence(values):
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return len(values) == 2 and values[1] == 0x20e3
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def get_keycap_text(values):
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return '-%c-' % unichr(values[0]) # convert gags on '['
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char_map = {
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0x1f468: 'M',
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0x1f469: 'W',
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0x1f466: 'B',
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0x1f467: 'G',
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0x2764: 'H', # heavy black heart, no var sel
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0x1f48b: 'K', # kiss mark
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0x200D: '-', # zwj placeholder
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0xfe0f: '-', # variation selector placeholder
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0x1f441: 'I', # Eye
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0x1f5e8: 'W', # 'witness' (left speech bubble)
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}
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def get_combining_text(values):
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chars = []
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for v in values:
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char = char_map.get(v, None)
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if not char:
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return None
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if char != '-':
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chars.append(char)
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return ''.join(chars)
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if not path.isdir(OUTPUT_DIR):
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os.makedirs(OUTPUT_DIR)
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with open('sequences.txt', 'r') as f:
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for seq in f:
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seq = seq.strip()
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text = None
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values = [int(code, 16) for code in seq.split('_')]
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if len(values) == 1:
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val = values[0]
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text = '%04X' % val # ensure upper case format
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elif is_flag_sequence(values):
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text = ''.join(regional_to_ascii(cp) for cp in values)
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elif has_color_patch(values):
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print('skipping color patch sequence %s' % seq)
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elif is_keycap_sequence(values):
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text = get_keycap_text(values)
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else:
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text = get_combining_text(values)
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if not text:
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print('missing %s' % seq)
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if text:
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if len(text) > 3:
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if len(text) == 4:
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hi = text[:2]
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lo = text[2:]
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else:
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hi = text[:-3]
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lo = text[-3:]
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text = '%s\n%s' % (hi, lo)
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generate_image('emoji_u%s.png' % seq, text)
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