def test_compile_model(self):
from lingpy.data.derive import compile_model
compile_model('_test', self.tmp.as_posix())
sound_classes = cache.load('_test.converter')
self.assertEqual(sound_classes['b'], 'b')
self.assertTrue(self.tmp_path('_test', 'matrix').exists())
def test_compile_model(self):
from lingpy.data.derive import compile_model
compile_model('_test', self.tmp)
sound_classes = cache.load('_test.converter')
self.assertEqual(sound_classes['b'], 'b')
self.assertTrue(self.tmp_path('_test', 'matrix').exists())
def load_dvt(path=''):
"""
Function loads the default characters for IPA diacritics and IPA vowels of LingPy.
"""
# check for specific evolaemp path which sues asjp alphabet instead of IPA
if path in ['el', 'evolaemp']:
fn = 'dvt_el'
else:
fn = 'dvt'
try:
dvt = cache.load(fn)
except:
compile_dvt(path)
dvt = cache.load(fn)
return dvt
def load_dvt(path=''):
"""
Function loads the default characters for IPA diacritics and IPA vowels of LingPy.
"""
# check for specific evolaemp path which sues asjp alphabet instead of IPA
if path in ['el', 'evolaemp']:
fn = 'dvt_el'
else:
fn = 'dvt'
try:
dvt = cache.load(fn)
except:
compile_dvt(path)
dvt = cache.load(fn)
return dvt
def test_cache(self):
d = {'a': 123}
filename = 'lingpy_test.CSV'
cache.dump(d, filename)
self.assertTrue(cache.path(filename).exists())
self.assertEqual(cache.load(filename), d)
os.remove(str(cache.path(filename)))
def __init__(self, model, path=None):
new_path = lambda *cmps: \
os.path.join(path or util.data_path('models'), model, *cmps)
self.name = model
# try to load the converter
try:
self.converter = cache.load(model + '.converter')
except:
compile_model(model, path)
self.converter = cache.load(model + '.converter')
# give always preference to scorer matrix files
if os.path.isfile(new_path('matrix')):
self.scorer = read_scorer(new_path('matrix'))
elif os.path.isfile(new_path('scorer.bin')):
try:
self.scorer = cache.load(model + '.scorer')
except compat.FileNotFoundError:
pass
# if none of the above fits, leave it
else:
pass
# read information from the info-file
self.info = {}
info = util.read_text_file(new_path('INFO'))
data = ['description', 'compiler', 'source', 'date', 'vowels', 'tones']
for line in data:
try:
self.info[line] = re.findall('@' + line + ': (.*)', info)[0]
except:
self.info[line] = 'unknown'
# check for vowels and tones
if "vowels" in self.info:
self.vowels = self.info['vowels']
if "tones" in self.info:
self.tones = self.info['tones']
def __init__(self, model, path=None):
new_path = lambda *cmps: \
os.path.join(path or util.data_path('models'), model, *cmps)
self.name = model
# try to load the converter
try:
self.converter = cache.load(model + '.converter')
except:
compile_model(model, path)
self.converter = cache.load(model + '.converter')
# give always preference to scorer matrix files
if os.path.isfile(new_path('matrix')):
self.scorer = read_scorer(new_path('matrix'))
elif os.path.isfile(new_path('scorer.bin')):
try:
self.scorer = cache.load(model + '.scorer')
except compat.FileNotFoundError:
pass
# if none of the above fits, leave it
else:
pass
# read information from the info-file
self.info = {}
info = util.read_text_file(new_path('INFO'))
data = ['description', 'compiler', 'source', 'date', 'vowels', 'tones']
for line in data:
try:
self.info[line] = re.findall('@' + line + ': (.*)', info)[0]
except:
self.info[line] = 'unknown'
# check for vowels and tones
if "vowels" in self.info:
self.vowels = self.info['vowels']
if "tones" in self.info:
self.tones = self.info['tones']
def test_compile_dvt(self):
from lingpy.data.derive import compile_dvt
compile_dvt()
self.assertEqual(len(cache.load('dvt')), 3)
def test_compile_dvt(self):
from lingpy.data.derive import compile_dvt
compile_dvt()
self.assertEqual(len(cache.load('dvt')), 3)
def unpickle(filename):
obj = cache.load(filename)
obj._recreate_unpicklables()
return obj
def unpickle(filename):
obj = cache.load(filename)
obj._recreate_unpicklables()
return obj
def test_cache(tmppath):
d = {'a': 123}
filename = 'lingpy_test.CSV'
cache.dump(d, filename, d=tmppath / 'cache')
assert cache.load(filename, d=tmppath / 'cache') == d