(textToSynth + "_" + langToSynth + gradint.dotmp3).lower()):
return # it's already been done
if synth_fileExists(("__rejected_" + textToSynth + "_" + langToSynth +
gradint.dotwav).lower()) or synth_fileExists(
("__rejected_" + textToSynth + "_" + langToSynth +
gradint.dotmp3).lower()):
return # it's been rejected by the GUI
if (textToSynth.lower(), langToSynth) in generating:
return # we're already generating it
generating[(textToSynth.lower(), langToSynth)] = 1
sys.stderr.write("Generating %s\n" % (textToSynth, ))
toMove.append((gradint.synth_event(langToSynth, textToSynth).getSound(),
(textToSynth + "_" + langToSynth + gradint.dotwav).lower()))
for _, s1, s2 in gradint.scanSamples() + gradint.parseSynthVocab(
gradint.vocabFile):
if type(s1) == type([]):
[maybe_cache(i, gradint.samplesDirectory) for i in s1]
else:
maybe_cache(s1, gradint.samplesDirectory)
maybe_cache(s2, gradint.samplesDirectory)
for f in gradint.AvailablePrompts().lsDic.values():
for f2 in f:
if f2.endswith("txt"): maybe_cache(f2, gradint.promptsDirectory)
for l in langs:
gradint.get_synth_if_possible(l).finish_makefile()
count = 0
gradint.soundCollector = 0
if toMove: sys.stderr.write("Renaming\n")
else: sys.stderr.write("No additional words need to be synthesized\n")
def decache(s):
textToSynth, langToSynth = getTxtLang(s)
if not textToSynth: return
textToSynth = "_" + textToSynth # sporadic mode
generating[(textToSynth.lower(), langToSynth)] = 1 # don't re-generate it
s = textToSynth.lower().encode('utf-8') + "_" + langToSynth
if delete_old and langToSynth == languageToCache:
for ext in [dottxt, dotwav, dotmp3]:
if s + ext in scld:
os.remove(gradint.synthCache + os.sep + s + ext)
del scld[s + ext]
samples = gradint.scanSamples(
) # MUST call before sporadic so variantFiles is populated
if sporadic:
pd = gradint.ProgressDatabase()
if delete_old: print "Checking for old words to remove"
else: print "Sporadic mode: Checking for old words to avoid"
for t, prompt, target in pd.data:
if t >= gradint.reallyKnownThreshold:
if type(prompt) == type([]):
for p in prompt:
decache(p)
else:
decache(prompt)
decache(target)
count = 0
# for summarizing it to a teacher or native speaker.
# Reads from progressFile and progressFileBackup.
# Version 1.04 (c) 2011 Silas S. Brown. License: GPL
# Example use:
# python lesson-table.py | ssh some-server 'mutt -e "set record = \"\";" -e "set charset=\"utf-8\"; set send_charset=\"utf-8\"; set content_type=\"text/html\";" to-address -s "Gradint report"' || echo Send failed
samples_url = None # or "http://example.org/path/to/samples/"
import gradint, os
newpf = gradint.progressFile
gradint.progressFile = gradint.progressFileBackup
gradint.pickledProgressFile = None
mergeIn = gradint.scanSamples() + gradint.parseSynthVocab(gradint.vocabFile)
oldProg = gradint.ProgressDatabase(alsoScan=0)
oldProg.data += oldProg.unavail # because it might be available in newProg
gradint.mergeProgress(oldProg.data, mergeIn)
opd = {}
for tries, l1, l2 in oldProg.data:
key = gradint.norm_filelist(l1, l2)
if tries: opd[key] = tries
del oldProg
gradint.progressFile = newpf
newProg = gradint.ProgressDatabase(alsoScan=0)
gradint.mergeProgress(newProg.data, mergeIn)
del mergeIn
changes = []
count = 0
if not langToSynth == lang: return # we're not listing that language
if textToSynth.lower() in listed: return
d = textToSynth.decode('utf-8')
if hanzi_only and langToSynth == "zh" and not gradint.fix_compatibility(
d).replace(" ", "") == gradint.hanzi_and_punc(d):
return
global wroteChars
if paragraph_size and wroteChars and wroteChars + len(d) > paragraph_size:
toList.append("")
wroteChars = 0
wroteChars += (len(d) + 2) # comma and \n
toList.append(textToSynth + ",")
listed[textToSynth.lower()] = 1
inList = gradint.scanSamples() + gradint.parseSynthVocab(gradint.vocabFile)
if reverse_grouping: inList.reverse() # will be reversed again on output
for _, s1, s2 in inList:
if type(s1) == type([]):
[maybe_list(i, gradint.samplesDirectory) for i in s1]
else:
maybe_list(s1, gradint.samplesDirectory)
maybe_list(s2, gradint.samplesDirectory)
for f in gradint.AvailablePrompts().lsDic.values():
for f2 in f:
if f2.endswith("txt"): maybe_list(f2, gradint.promptsDirectory)
if reverse_grouping: toList.reverse()
for i in range(len(toList) + 1):
if i and (i == len(toList)
or toList[i] == "\n") and toList[i - 1].endswith(","):