def loadTf():
TF = Fabric(locations=[f'{TF_PATH}/{VERSION}'])
allFeatures = TF.explore(silent=True, show=True)
loadableFeatures = allFeatures['nodes'] + allFeatures['edges']
api = TF.load(loadableFeatures)
if api:
print(f'max node = {api.F.otype.maxNode}')
print(api.F.root.freqList()[0:20])
def loadTf():
TF = Fabric(locations=[OUT_DIR])
allFeatures = TF.explore(silent=True, show=True)
loadableFeatures = allFeatures['nodes'] + allFeatures['edges']
api = TF.load(loadableFeatures, silent=False)
if api:
print(f'max node = {api.F.otype.maxNode}')
print(api.F.root.freqList()[0:20])
def loadTf(outDir):
TF = Fabric(locations=[outDir])
allFeatures = TF.explore(silent=True, show=True)
loadableFeatures = allFeatures["nodes"] + allFeatures["edges"]
api = TF.load(loadableFeatures, silent=False)
if api:
print(f"max node = {api.F.otype.maxNode}")
print("Frequencies of words")
for (word, n) in api.F.letters.freqList()[0:20]:
print(f"{n:>6} x {word}")
def loadTf():
print(f'Load TF dataset for the first time')
TF = Fabric(locations=TF_PATH, modules=[''])
api = TF.load('')
allFeatures = TF.explore(silent=False, show=True)
loadableFeatures = allFeatures['nodes'] + allFeatures['edges']
TF.load(loadableFeatures, add=True)
return api
print('All done')
import os, sys, collections
from tf.fabric import Fabric
# locations = '~/github/etcbc'
locations = '/home/oem/text-fabric-data/etcbc'
coreModule = 'bhsa'
sources = [coreModule, 'phono']
# version = '2017'
version = 'c'
tempDir = os.path.expanduser(f'{locations}/{coreModule}/_temp/{version}/r')
tableFile = f'{tempDir}/{coreModule}{version}.txt'
modules = [f'{s}/tf/{version}' for s in sources]
TF = Fabric(locations=locations, modules=modules)
api = TF.load('')
api = TF.load(
('suffix_person', 'tab', 'trailer', 'trailer_utf8', 'txt', 'typ', 'uvf',
'vbe', 'vbs', 'verse', 'voc_lex', 'voc_lex_utf8', 'vs', 'vt',
'distributional_parent', 'functional_parent', 'mother', 'oslots'))
allFeatures = TF.explore(silent=False, show=True)
loadableFeatures = allFeatures['nodes'] + allFeatures['edges']
del (api)
api = TF.load(loadableFeatures)
api.makeAvailableIn(globals())
print('done')