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0.1.121

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guanjihuan
2024-10-23 19:52:25 +08:00
parent 6b9bb8afaa
commit 44416212c9
3 changed files with 10 additions and 6 deletions
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2
PyPI/setup.cfg
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@@ -1,7 +1,7 @@
[metadata] [metadata]
# replace with your username: # replace with your username:
name = guan name = guan
version = 0.1.120 version = 0.1.121
author = guanjihuan author = guanjihuan
author_email = guanjihuan@163.com author_email = guanjihuan@163.com
description = An open source python package description = An open source python package

2
PyPI/src/guan.egg-info/PKG-INFO
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@@ -1,6 +1,6 @@
Metadata-Version: 2.1 Metadata-Version: 2.1
Name: guan Name: guan
Version: 0.1.120 Version: 0.1.121
Summary: An open source python package Summary: An open source python package
Home-page: https://py.guanjihuan.com Home-page: https://py.guanjihuan.com
Author: guanjihuan Author: guanjihuan

12
PyPI/src/guan/others.py
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@@ -430,16 +430,20 @@ def get_all_functions_in_one_package(package_name='guan', print_show=1):
return all_function_names return all_function_names
# 获取包含某个字符的进程PID值 # 获取包含某个字符的进程PID值
def get_PID(name): def get_PID_array(name):
import subprocess import subprocess
command = "ps -ef | grep "+name command = "ps -ef | grep "+name
result = subprocess.run(command, shell=True, stdout=subprocess.PIPE, stderr=subprocess.PIPE, text=True) result = subprocess.run(command, shell=True, stdout=subprocess.PIPE, stderr=subprocess.PIPE, text=True)
if result.returncode == 0: if result.returncode == 0:
ps_ef = result.stdout ps_ef = result.stdout
import re import re
ps_ef = re.split(r'\s+', ps_ef) ps_ef_1 = re.split(r'\n', ps_ef)
id_running = ps_ef[1] id_running_array = []
return id_running for ps_ef_item in ps_ef_1:
if ps_ef_item != '':
ps_ef_2 = re.split(r'\s+', ps_ef_item)
id_running_array.append(ps_ef_2[1])
return id_running_array
# 查找文件名相同的文件 # 查找文件名相同的文件
def find_repeated_file_with_same_filename(directory='./', ignored_directory_with_words=[], ignored_file_with_words=[], num=1000): def find_repeated_file_with_same_filename(directory='./', ignored_directory_with_words=[], ignored_file_with_words=[], num=1000):