Datasets:
jblitzar
/
github-python

Dataset card Data Studio Files
xet
Community
text
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0
93.6k
try:
resp = service.addLocation( location )
except Fault as err:
print( f'Zeep error: addLocation: { err }' )
sys.exit( 1 )
print( '\naddLocation response:\n' )
print( resp,'\n' )
input( 'Press Enter to continue...' )
# Cleanup the objects we just created
try:
resp = service.removeLocation( name = 'testLocation')
except Fault as err:
print( f'Zeep error: removeLocation: { err }' )
sys.exit( 1 )
print( '\nremoveLocation response:' )
print( resp, '\n' )
# <FILESEP>
import os
import json
from ebooklib import epub
# 获取所有的 json 文件
json_files = [f for f in sorted(os.listdir('./temp')) if f.endswith('.json')]
# 将文件分组，每 1000 个文件为一组, 按文件名排序，文件名 1.json, 2.json, 3.json ...
# 按文件名排序
json_files.sort(key=lambda x: int(x.split('.')[0]))
# 每 450万字符为 个文件为一组
# 用于存储分组后的文件
# read json file
currentLength = 0
# group for store every group with files
# 二维数组 group
file_groups = []
currentGroupIndex = 0
for filename in json_files:
with open(os.path.join('./temp', filename), 'r') as f:
data = json.load(f)
textLength = len(data['text'])
currentLength += textLength
# if group[currentGroupIndex] not exist, so create it
if len(file_groups) <= currentGroupIndex:
file_groups.append([])
file_groups[currentGroupIndex].append(filename)
if currentLength > 4500000:
print('yes ' + str(currentLength))
currentLength = 0
currentGroupIndex += 1
# file_groups = [json_files[x:x+3000] for x in range(0, len(json_files), 3000)]
# 打印分组信息
print('共有 {} 组文件'.format(len(file_groups)))
exit(0)
# 为每一组文件创建一本电子书
for i, group in enumerate(file_groups):
# 创建新的电子书
book = epub.EpubBook()
# 设置元数据
book.set_identifier('id123456'+str(i))
book.set_title('Simple English Wikipedia ' + str(i))
book.set_language('en')
book.add_author('Owen')