def create_named_list(lexicon, num_questions, word_length, is_range,
questions, name):
if num_questions == 0:
logger.debug(">> Not creating empty list " + name)
return
nl = NamedList(lexicon=lexicon,
numQuestions=num_questions,
wordLength=word_length,
isRange=is_range,
questions=questions,
name=name)
nl.full_clean()
nl.save()
def create_common_words_list(lname, friendly_name):
f = open(COMMON_WORDS_DIR + lname)
words = f.read()
f.close()
words = words.split('\n')
r = redis.Redis(host=settings.REDIS_HOST, port=settings.REDIS_PORT,
db=settings.REDIS_ALPHAGRAMS_DB)
pipe = r.pipeline()
for word in words:
alpha = alphagrammize(word)
pipe.get('%s:%s' % (alpha, OWL2_LEX_INDEX))
pks = pipe.execute()
pks = [int(pk) for pk in pks]
nl = NamedList(lexicon=Lexicon.objects.get(lexiconName='OWL2'),
numQuestions=len(pks),
wordLength=0,
isRange=False,
questions=json.dumps(pks),
name=friendly_name)
nl.save()
def create_common_words_list(lname, friendly_name):
f = open(COMMON_WORDS_DIR + lname)
words = f.read()
f.close()
words = words.split('\n')
alphs = set([alphagrammize(word) for word in words])
cursor = connection.cursor()
cursor.execute(
'SELECT probability_pk FROM base_alphagram '
'WHERE lexicon_id = %s AND alphagram in %s' %
(OWL2_LEX_INDEX, str(tuple(alphs)))
)
rows = cursor.fetchall()
pks = []
for row in rows:
pks.append(row[0])
nl = NamedList(lexicon=Lexicon.objects.get(lexiconName='OWL2'),
numQuestions=len(pks),
wordLength=0,
isRange=False,
questions=json.dumps(pks),
name=friendly_name)
nl.save()
def create_common_words_list(lname, friendly_name):
f = open(COMMON_WORDS_DIR + lname)
words = f.read()
f.close()
words = words.split('\n')
alphs = set([alphagrammize(word) for word in words])
cursor = connection.cursor()
cursor.execute(
'SELECT probability_pk FROM base_alphagram '
'WHERE lexicon_id = %s AND alphagram in %s' %
(OWL2_LEX_INDEX, str(tuple(alphs)))
)
rows = cursor.fetchall()
pks = []
for row in rows:
pks.append(row[0])
nl = NamedList(lexicon=Lexicon.objects.get(lexiconName='OWL2'),
numQuestions=len(pks),
wordLength=0,
isRange=False,
questions=json.dumps(pks),
name=friendly_name)
nl.save()
def create_named_list(lexicon, num_questions, word_length, is_range, questions,
name):
if num_questions == 0:
logger.debug(">> Not creating empty list " + name)
return
nl = NamedList(
lexicon=lexicon,
numQuestions=num_questions,
wordLength=word_length,
isRange=is_range,
questions=questions,
name=name,
)
nl.full_clean()
nl.save()
def create_wl_lists(i, lex):
"""Create word lists for words with length `i`."""
lengthCounts = json.loads(lex.lengthCounts)
numForThisLength = lengthCounts[str(i)]
minProbPk = alphProbToProbPK(1, lex.pk, i)
maxProbPk = alphProbToProbPK(numForThisLength, lex.pk, i)
nl = NamedList(lexicon=lex,
numQuestions=numForThisLength,
wordLength=i,
isRange=True,
questions=json.dumps([minProbPk, maxProbPk]),
name='The ' + friendlyNumberMap[i])
nl.save()
if i >= 7 and i <= 8:
# create 'every x' list
for p in range(1, numForThisLength+1, LIST_GRANULARITY):
minP = alphProbToProbPK(p, lex.pk, i)
maxP = alphProbToProbPK(
min(p + LIST_GRANULARITY - 1, numForThisLength), lex.pk, i)
nl = NamedList(
lexicon=lex,
numQuestions=maxP - minP + 1,
wordLength=i,
isRange=True,
questions=json.dumps([minP, maxP]),
name='%s (%s to %s)' % (friendlyNumberMap[i], p,
min(p + LIST_GRANULARITY - 1,
numForThisLength)))
nl.save()
print 'JQXZ', i
if i >= 4 and i <= 8:
pks = get_pks_by_condition(
minProbPk, maxProbPk,
lambda a: re.search(r'[JQXZ]', a))
nl = NamedList(lexicon=lex,
numQuestions=len(pks),
wordLength=i,
isRange=False,
questions=json.dumps(pks),
name='JQXZ ' + friendlyNumberMap[i])
nl.save()
if i == 7:
# 4+ vowel 7s
pks = get_pks_by_condition(
minProbPk, maxProbPk,
lambda a: (len(re.findall(r'[AEIOU]', a)) >= 4))
nl = NamedList(lexicon=lex,
numQuestions=len(pks),
wordLength=i,
isRange=False,
questions=json.dumps(pks),
name='Sevens with 4 or more vowels')
nl.save()
if i == 8:
# 5+ vowel 8s
pks = get_pks_by_condition(
minProbPk, maxProbPk,
lambda a: (len(re.findall(r'[AEIOU]', a)) >= 5))
nl = NamedList(lexicon=lex,
numQuestions=len(pks),
wordLength=i,
isRange=False,
questions=json.dumps(pks),
name='Eights with 5 or more vowels')
nl.save()
if lex.lexiconName == 'CSW12':
pks = get_pks_by_word_condition(
minProbPk, maxProbPk,
lambda w: (w.get('symbols') == '#+'))
nl = NamedList(lexicon=lex,
numQuestions=len(pks),
wordLength=i,
isRange=False,
questions=json.dumps(pks),
name='CSW12 ' + friendlyNumberMap[i] + ' not in CSW07')
nl.save()
pks = get_pks_by_word_condition(
minProbPk, maxProbPk,
lambda w: ('#' in w.get('symbols')))
nl = NamedList(lexicon=lex, numQuestions=len(pks), wordLength=i,
isRange=False,
questions=json.dumps(pks),
name='CSW12 ' + friendlyNumberMap[i] + ' not in OWL2')
nl.save()
if lex.lexiconName == 'America':
pks = get_pks_by_word_condition(
minProbPk, maxProbPk,
lambda w: (w.get('symbols') == '+'))
nl = NamedList(lexicon=lex,
numQuestions=len(pks),
wordLength=i,
isRange=False,
questions=json.dumps(pks),
name='America ' + friendlyNumberMap[i] + ' not in OWL2')
nl.save()
def create_wl_lists(i, lex):
"""Create word lists for words with length `i`."""
lengthCounts = json.loads(lex.lengthCounts)
numForThisLength = lengthCounts[str(i)]
minProbPk = alphProbToProbPK(1, lex.pk, i)
maxProbPk = alphProbToProbPK(numForThisLength, lex.pk, i)
nl = NamedList(lexicon=lex,
numQuestions=numForThisLength,
wordLength=i,
isRange=True,
questions=json.dumps([minProbPk, maxProbPk]),
name='The ' + friendlyNumberMap[i])
nl.save()
if i >= 7 and i <= 8:
# create 'every x' list
for p in range(1, numForThisLength+1, LIST_GRANULARITY):
minP = alphProbToProbPK(p, lex.pk, i)
maxP = alphProbToProbPK(
min(p + LIST_GRANULARITY - 1, numForThisLength), lex.pk, i)
nl = NamedList(
lexicon=lex,
numQuestions=maxP - minP + 1,
wordLength=i,
isRange=True,
questions=json.dumps([minP, maxP]),
name='%s (%s to %s)' % (friendlyNumberMap[i], p,
min(p + LIST_GRANULARITY - 1,
numForThisLength)))
nl.save()
print 'JQXZ', i
if i >= 4 and i <= 8:
pks = get_pks_by_condition(
minProbPk, maxProbPk,
lambda a: re.search(r'[JQXZ]', a))
nl = NamedList(lexicon=lex,
numQuestions=len(pks),
wordLength=i,
isRange=False,
questions=json.dumps(pks),
name='JQXZ ' + friendlyNumberMap[i])
nl.save()
if i == 7:
# 4+ vowel 7s
pks = get_pks_by_condition(
minProbPk, maxProbPk,
lambda a: (len(re.findall(r'[AEIOU]', a)) >= 4))
nl = NamedList(lexicon=lex,
numQuestions=len(pks),
wordLength=i,
isRange=False,
questions=json.dumps(pks),
name='Sevens with 4 or more vowels')
nl.save()
if i == 8:
# 5+ vowel 8s
pks = get_pks_by_condition(
minProbPk, maxProbPk,
lambda a: (len(re.findall(r'[AEIOU]', a)) >= 5))
nl = NamedList(lexicon=lex,
numQuestions=len(pks),
wordLength=i,
isRange=False,
questions=json.dumps(pks),
name='Eights with 5 or more vowels')
nl.save()
if lex.lexiconName == 'CSW12':
pks = get_pks_by_word_condition(
minProbPk, maxProbPk,
lambda w: (w.get('symbols') == '#+'))
nl = NamedList(lexicon=lex,
numQuestions=len(pks),
wordLength=i,
isRange=False,
questions=json.dumps(pks),
name='CSW12 ' + friendlyNumberMap[i] + ' not in CSW07')
nl.save()
pks = get_pks_by_word_condition(
minProbPk, maxProbPk,
lambda w: ('#' in w.get('symbols')))
nl = NamedList(lexicon=lex, numQuestions=len(pks), wordLength=i,
isRange=False,
questions=json.dumps(pks),
name='CSW12 ' + friendlyNumberMap[i] + ' not in OWL2')
nl.save()
