当我运行以下程序时出现此错误:
with t as ( -- get first 3 names into single array
select array_agg(name) as first_3_names
from table_a
order by id limit 3)
insert into table_b (name1, name2, name3) -- then insert array's elements into the appropriate columns
select first_3_names[1], first_3_names[2], first_3_names[3] from t;
此错误与下面提供的第二个代码源有关。这很奇怪,因为我没有9个参数。我的代码出了什么问题?
originDataset = dataset.lmdbDataset(originPath, 'abc', *args)
TypeError: __init__() takes from 1 to 4 positional arguments but 9 were given
调用以下程序:
import sys
origin_path = sys.path
sys.path.append("..")
import dataset
sys.path = origin_path
import lmdb
def writeCache(env, cache):
with env.begin(write=True) as txn:
for k, v in cache.iteritems():
txn.put(k, v)
def convert(originPath, outputPath):
args = [0] * 6
originDataset = dataset.lmdbDataset(originPath, 'abc', *args)
print('Origin dataset has %d samples' % len(originDataset))
labelStrList = []
for i in range(len(originDataset)):
label = originDataset.getLabel(i + 1)
labelStrList.append(label)
if i % 10000 == 0:
print(i)
lengthList = [len(s) for s in labelStrList]
items = zip(lengthList, range(len(labelStrList)))
items.sort(key=lambda item: item[0])
env = lmdb.open(outputPath, map_size=1099511627776)
cnt = 1
cache = {}
nSamples = len(items)
for i in range(nSamples):
imageKey = 'image-%09d' % cnt
labelKey = 'label-%09d' % cnt
origin_i = items[i][1]
img, label = originDataset[origin_i + 1]
cache[labelKey] = label
cache[imageKey] = img
if cnt % 1000 == 0 or cnt == nSamples:
writeCache(env, cache)
cache = {}
print('Written %d / %d' % (cnt, nSamples))
cnt += 1
nSamples = cnt - 1
cache['num-samples'] = str(nSamples)
writeCache(env, cache)
print('Convert dataset with %d samples' % nSamples)
if __name__ == "__main__":
convert('/share/datasets/scene_text/Synth90k/synth90k-val-lmdb', '/share/datasets/scene_text/Synth90k/synth90k-val-ordered-lmdb')
convert('/share/datasets/scene_text/Synth90k/synth90k-train-lmdb', '/share/datasets/scene_text/Synth90k/synth90k-train-ordered-lmdb')