def col_defs(self):
from clld.web.datatables.contribution import ContributorsCol, CitationCol
return [
Col(self,
'number',
sTitle='number',
model_col=Dictionary.number,
input_size='mini'),
LinkCol(
self,
'dictionary',
sTitle='dictionary'),
ContributorsCol(
self,
name='author',
sTitle='author'),
Col(self,
'entries',
sTitle='entries',
sClass='right',
model_col=Dictionary.count_words),
YearCol(
self,
'year',
bSearchable=False,
sTitle='year',
model_col=Dictionary.published),
CitationCol(self, 'cite', sTitle='cite'),
]
def col_defs(self):
return [
IntegerIdCol(self, 'id'),
LinkCol(self, 'name', sTitle='Language structure dataset'),
ContributorsCol(self,
'contributors',
bSearchable=False,
bSortable=False,
sTitle='Authors of dataset'),
Col(self,
'lexifier',
choices=get_distinct_values(Lect.lexifier,
key=lambda v: 'z' + v
if v == 'Other' else v),
get_obj=lambda item: item.language,
model_col=Lect.lexifier),
Col(self,
'region',
choices=get_distinct_values(Lect.region),
get_obj=lambda item: item.language,
model_col=Lect.region),
CitationCol(self, 'cite', bSearchable=False, bSortable=False),
IntegerIdCol(self,
'survey',
get_object=lambda c: c.language.survey,
bSearchable=False,
bSortable=False,
sTitle='Survey'),
]
def col_defs(self):
return [
# ID, Vocabulary, Authors, Number of words, Percentage of loanwords, cite
IntegerIdCol(
self,
'id',
sTitle="ID",
sDescription=literal(
"The vocabulary ID number corresponds to the ordering to the"
" chapters on the book <em>Loanwords in the World's Languages</em>. "
"Languages are listed in rough geographical order from west to east, "
"from Africa via Europe to Asia and the Americas, so that "
"geographically adjacent languages are next to each other."
)),
VocabularyCol(
self,
'vocabulary',
sDescription=literal(
"<p>Each vocabulary of WOLD is a separate electronic "
"publication with a separate author or team of authors. Each vocabulary "
"has a characteristic colour in WOLD.</p><p>Click on a vocabulary to "
"see the words (loanwords and nonloanwords) and their properties.</p>"
)),
ContributorsCol(
self,
'contributor',
sDescription=
"The authors are experts of the language and its history. "
"They also contributed a prose chapter on the borrowing situation in "
"their language that was published in the book "
"Loanwords in the World's Languages."),
Col(self,
'n',
sTitle='Number of words',
model_col=Vocabulary.count_words,
sDescription="There would be 1814 words in each vocabulary, "
"corresponding to the 1814 Loanword Typology meanings, if each meaning "
"had exactly one counterpart, and if all the counterparts were "
"different words. But many (\"polysomous\") words are counterparts of "
"several meanings, many meanings have several word counterparts "
"(\"synonyms\", or \"subcounterparts\"), and many meanings have no "
"counterparts at all, so the number of words in each database varies "
"considerably."),
PercentCol(
self,
'p',
sTitle='Percentage of loanwords',
model_col=Vocabulary.borrowed_score,
sDescription=
"This gives the percentage of words in each language that "
"are \"clearly borrowed\" or \"probably borrowed\"."),
CitationCol(self, 'cite'),
]
def col_defs(self):
return [
IntegerIdCol(self, 'id'),
LinkCol(self, 'name', sTitle='Feature information'),
ChapterCol(self, 'chapter', sTitle='Chapter'),
Col(self,
'feature_type',
model_col=Feature.feature_type,
sFilter='primary',
choices=['primary', 'segment', 'sociolinguistic']),
AreaCol(self, 'area'),
WalsCol(self, 'WALS feature', model_col=Feature.wals_id),
CitationCol(self, 'cite'),
]
def col_defs(self):
return [
NumberCol(self, 'number', model_col=models.CrossgramData.number),
LinkCol(self, 'name'),
ContributorsCol(self, 'contributor'),
DateCol(self, 'published'),
Col(
self,
'data_source',
bSearchable=False,
bSortable=False,
sTitle='Data source',
format=lambda i: i.doi_link() or i.git_link()),
CitationCol(self, 'cite'),
]
def col_defs(self):
res = [
LinkCol(self, 'name', sTitle='Language (Contributor)'),
Col(self, 'source_name', model_col=Inventory.description),
CountCol(self, 'all', bSearchable=False, bSortable=False)
]
for c in 'vowel consonant tone'.split():
res.append(
Col(self,
c,
model_col=getattr(Inventory, 'count_' + c),
sTitle='# %ss' % c))
res.extend([
PhoibleContributorsCol(self, 'contributor'),
CitationCol(self, 'cite'),
])
return res