def load(cls, expe, load=True):
""" Return the frontend suited for the given expe"""
corpus_name = expe.get('corpus') or expe.get('random')
if '.' in corpus_name:
c_split = corpus_name.split('.')
c_name, c_ext = '.'.join(c_split[:-1]), c_split[-1]
else:
c_name = corpus_name
c_ext = None
_corpus = Corpus.get(c_name)
if c_ext in GramExp._frontend_ext:
# graph-tool object
# @Todo: Corpus intragation!
_corpus.update(data_format=c_ext)
elif _corpus is False:
raise ValueError('Unknown Corpus `%s\'!' % corpus)
elif _corpus is None:
return None
if _corpus['data_type'] == 'text':
frontend = frontendText(expe)
elif _corpus['data_type'] == 'network':
if _corpus.get('data_format') == 'gt':
frontend = frontendNetwork_gt.from_expe(expe, load=load, corpus=_corpus)
else:
# Obsolete loading design. @Todo
frontend = frontendNetwork(expe)
if load is True:
frontend.load_data(randomize=False)
frontend.sample(expe.get('N'), randomize=False)
return frontend
def load(cls, expe, skip_init=False):
""" Return the frontend suited for the given expe
@TODO: skip_init is not implemented
"""
if skip_init:
cls.log.warning('skip init is not implemented')
corpus_name = expe.get('corpus') or expe.get('random') or expe.get(
'concept')
if expe.get('driver'):
corpus_name += '.' + expe.driver.strip('.')
if '.' in corpus_name:
c_split = corpus_name.split('.')
c_name, c_ext = '.'.join(c_split[:-1]), c_split[-1]
else:
c_name = corpus_name
c_ext = None
_corpus = Corpus.get(c_name)
if c_ext in cls._frontend_ext:
# graph-tool object
# @Todo: Corpus integration!
if not _corpus:
dt_lut = {'gt': 'network'}
_corpus = dict(data_type=dt_lut[c_ext])
_corpus.update(data_format=c_ext)
elif _corpus is False:
raise ValueError('Unknown Corpus `%s\'!' % c_name)
elif _corpus is None:
return None
if _corpus['data_type'] == 'text':
from .frontendtext import frontendText
frontend = frontendText(expe)
elif _corpus['data_type'] == 'network':
if _corpus.get('data_format') == 'gt':
from .frontendnetwork import frontendNetwork_gt
frontend = frontendNetwork_gt.from_expe(expe, corpus=_corpus)
else:
from .frontendnetwork import frontendNetwork
# Obsolete loading design. @Todo
frontend = frontendNetwork(expe)
frontend.load_data(randomize=False)
if hasattr(frontend, 'configure'):
frontend.configure()
return frontend
def load(cls, expe):
""" Return the frontend suited for the given expe"""
corpus_name = expe.get('corpus') or expe.get('random') or expe.get(
'concept')
if expe.get('driver'):
corpus_name += '.' + expe.ext.strip('.')
if '.' in corpus_name:
c_split = corpus_name.split('.')
c_name, c_ext = '.'.join(c_split[:-1]), c_split[-1]
else:
c_name = corpus_name
c_ext = None
_corpus = Corpus.get(c_name)
if c_ext in GramExp._frontend_ext:
# graph-tool object
# @Todo: Corpus intragation!
_corpus.update(data_format=c_ext)
elif _corpus is False:
raise ValueError('Unknown Corpus `%s\'!' % corpus)
elif _corpus is None:
return None
if _corpus['data_type'] == 'text':
from .frontendtext import frontendText
frontend = frontendText(expe)
elif _corpus['data_type'] == 'network':
if _corpus.get('data_format') == 'gt':
from .frontendnetwork import frontendNetwork_gt
frontend = frontendNetwork_gt.from_expe(expe, corpus=_corpus)
else:
from .frontendnetwork import frontendNetwork
# Obsolete loading design. @Todo
frontend = frontendNetwork(expe)
frontend.load_data(randomize=False)
frontend.configure()
return frontend