def _get_name(key_tuple, annotated_tuples):
CELL_PREFIX = '<td%s>' % ('' if annotated_tuples is None or key_tuple
not in annotated_tuples else ' class="aname"')
seq_name = unicode_data.get_emoji_sequence_name(key_tuple)
if seq_name == None:
if key_tuple == (0x20e3, ):
seq_name = '(combining enlosing keycap)'
elif key_tuple == (0xfe82b, ):
seq_name = '(unknown flag PUA codepoint)'
else:
print 'no name for %s' % unicode_data.seq_to_string(key_tuple)
seq_name = '(oops)'
return CELL_PREFIX + seq_name
def _get_name(key_tuple, annotations):
annotation = None if annotations is None else annotations.get(key_tuple)
CELL_PREFIX = '<td%s>' % (
'' if annotation is None else ' class="%s"' % annotation)
seq_name = unicode_data.get_emoji_sequence_name(key_tuple)
if seq_name == None:
if key_tuple == (0x20e3,):
seq_name = '(combining enlosing keycap)'
elif key_tuple == (0xfe82b,):
seq_name = '(unknown flag PUA codepoint)'
else:
print('no name for %s' % unicode_data.seq_to_string(key_tuple))
seq_name = '(oops)'
return CELL_PREFIX + seq_name
def _standard_name(seq):
"""Use the standard emoji name, with some algorithmic modifications.
We want to ignore skin-tone modifiers (but of course if the sequence _is_
the skin-tone modifier itself we keep that). So we strip these so we can
start with the generic name ignoring skin tone.
Non-emoji that are turned into emoji using the emoji VS have '(emoji) '
prepended to them, so strip that.
Regional indicator symbol names are a bit long, so shorten them.
Regional sequences are assumed to be ok as-is in terms of capitalization and
punctuation, so no modifications are applied to them.
After title-casing we make some English articles/prepositions lower-case
again. We also replace '&' with 'and'; Unicode seems rather fond of
ampersand."""
if not unicode_data.is_skintone_modifier(seq[0]):
seq = tuple(
[cp for cp in seq if not unicode_data.is_skintone_modifier(cp)])
name = unicode_data.get_emoji_sequence_name(seq)
if name.startswith('(emoji) '):
name = name[8:]
if len(seq) == 1 and unicode_data.is_regional_indicator(seq[0]):
return 'Regional Symbol ' + unicode_data.regional_indicator_to_ascii(
seq[0])
if (unicode_data.is_regional_indicator_seq(seq)
or unicode_data.is_regional_tag_seq(seq)):
return name
name = name.title()
# Require space delimiting just in case...
name = re.sub(r'\s&\s', ' and ', name)
name = re.sub(
# not \b at start because we retain capital at start of phrase
r'(\s(:?A|And|From|In|Of|With|For))\b',
lambda s: s.group(1).lower(),
name)
return name
def _standard_name(seq):
"""Use the standard emoji name, with some algorithmic modifications.
We want to ignore skin-tone modifiers (but of course if the sequence _is_
the skin-tone modifier itself we keep that). So we strip these so we can
start with the generic name ignoring skin tone.
Non-emoji that are turned into emoji using the emoji VS have '(emoji) '
prepended to them, so strip that.
Regional indicator symbol names are a bit long, so shorten them.
Regional sequences are assumed to be ok as-is in terms of capitalization and
punctuation, so no modifications are applied to them.
After title-casing we make some English articles/prepositions lower-case
again. We also replace '&' with 'and'; Unicode seems rather fond of
ampersand."""
if not unicode_data.is_skintone_modifier(seq[0]):
seq = tuple([cp for cp in seq if not unicode_data.is_skintone_modifier(cp)])
name = unicode_data.get_emoji_sequence_name(seq)
if name.startswith('(emoji) '):
name = name[8:]
if len(seq) == 1 and unicode_data.is_regional_indicator(seq[0]):
return 'Regional Symbol ' + unicode_data.regional_indicator_to_ascii(seq[0])
if (unicode_data.is_regional_indicator_seq(seq) or
unicode_data.is_regional_tag_seq(seq)):
return name
name = name.title()
# Require space delimiting just in case...
name = re.sub(r'\s&\s', ' and ', name)
name = re.sub(
# not \b at start because we retain capital at start of phrase
r'(\s(:?A|And|From|In|Of|With|For))\b', lambda s: s.group(1).lower(),
name)
return name