mirror of
https://github.com/TriM-Organization/LiteyukiBot-TriM.git
synced 2024-11-11 01:27:29 +08:00
67 lines
1.7 KiB
Python
67 lines
1.7 KiB
Python
from importlib.metadata import PackageNotFoundError, version
|
||
from urllib.parse import quote
|
||
|
||
|
||
def convert_size(size: int, precision: int = 2, add_unit: bool = True, suffix: str = "iB") -> str:
|
||
"""把字节数转换为人类可读的字符串，计算正负
|
||
|
||
Args:
|
||
|
||
add_unit: 是否添加单位，False后则suffix无效
|
||
suffix: iB或B
|
||
precision: 浮点数的小数点位数
|
||
size (int): 字节数
|
||
|
||
Returns:
|
||
|
||
str: The human-readable string, e.g. "1.23 GB".
|
||
"""
|
||
is_negative = False
|
||
if size < 0:
|
||
is_negative = True
|
||
size = -size
|
||
|
||
for unit in ["", "K", "M", "G", "T", "P", "E", "Z", "Y"]:
|
||
if size < 1024:
|
||
if add_unit:
|
||
result = f"{size:.{precision}f} {unit}" + suffix
|
||
return f"-{result}" if is_negative else result
|
||
else:
|
||
return f"{size:.{precision}f}"
|
||
size /= 1024
|
||
if add_unit:
|
||
return f"{size:.{precision}f} Y" + suffix
|
||
else:
|
||
return f"{size:.{precision}f}"
|
||
|
||
|
||
def keywords_in_text(keywords: list[str], text: str, all_matched: bool) -> bool:
|
||
"""
|
||
检查关键词是否在文本中
|
||
Args:
|
||
keywords: 关键词列表
|
||
text: 文本
|
||
all_matched: 是否需要全部匹配
|
||
|
||
Returns:
|
||
|
||
"""
|
||
if all_matched:
|
||
for keyword in keywords:
|
||
if keyword not in text:
|
||
return False
|
||
return True
|
||
else:
|
||
for keyword in keywords:
|
||
if keyword in text:
|
||
return True
|
||
return False
|
||
|
||
|
||
def check_for_package(package_name: str) -> bool:
|
||
try:
|
||
version(package_name)
|
||
return True
|
||
except PackageNotFoundError:
|
||
return False
|