优化这段代码line4 = re.search('([image:" ]{10})(((http|ftp|https):\/\/[\w\-_]+(\.[\w\-_]+)+(\s*\s)?))', html)
时间: 2023-09-12 07:10:09 浏览: 43
优化后的代码如下:
```python
line4 = re.search(r'[image:" ]{10}((?:http|ftp|https)://[\w-]+(?:\.[\w-]+)+\s*)', html)
```
改进的地方:
1. 使用原始字符串(raw string)表示正则表达式,避免转义字符的混乱;
2. 使用非捕获组(non-capturing group)(?:...),避免需要提取的部分被包含在捕获组中;
3. 简化了URL的匹配方式,使用了括号表示域名部分,避免了只匹配.com或者.cn等后缀的问题;
4. 去掉了正则表达式中的空格,使其更加简洁易读。
相关问题
接着分析 (result (type_ident (component id='Bool' bind=Swift.(file).Bool))) (brace_stmt range=[re.swift:1:59 - line:14:1] (pattern_binding_decl range=[re.swift:2:5 - line:2:33] (pattern_named type='[UInt8]' 'b') Original init: (call_expr type='[UInt8]' location=re.swift:2:19 range=[re.swift:2:13 - line:2:33] nothrow (constructor_ref_call_expr type='(String.UTF8View) -> [UInt8]' location=re.swift:2:19 range=[re.swift:2:13 - line:2:19] nothrow (declref_expr implicit type='(Array<UInt8>.Type) -> (String.UTF8View) -> Array<UInt8>' location=re.swift:2:19 range=[re.swift:2:19 - line:2:19] decl=Swift.(file).Array extension.init(_:) [with (substitution_map generic_signature=<Element, S where Element == S.Element, S : Sequence> (substitution Element -> UInt8) (substitution S -> String.UTF8View))] function_ref=single) (argument_list implicit (argument (type_expr type='[UInt8].Type' location=re.swift:2:13 range=[re.swift:2:13 - line:2:19] typerepr='[UInt8]')) )) (argument_list (argument (member_ref_expr type='String.UTF8View' location=re.swift:2:29 range=[re.swift:2:21 - line:2:29] decl=Swift.(file).String extension.utf8 (declref_expr type='String' location=re.swift:2:21 range=[re.swift:2:21 - line:2:21] decl=re.(file).check(_:_:).encoded@re.swift:1:14 function_ref=unapplied))) )) Processed init: (call_expr type='[UInt8]' location=re.swift:2:19 range=[re.swift:2:13 - line:2:33] nothrow (constructor_ref_call_expr type='(String.UTF8View) -> [UInt8]' location=re.swift:2:19 range=[re.swift:2:13 - line:2:19] nothrow (declref_expr implicit type='(Array<UInt8>.Type) -> (String.UTF8View) -> Array<UInt8>' location=re.swift:2:19 range=[re.swift:2:19 - line:2:19] decl=Swift.(file).Array extension.init(_:) [with (substitution_map generic_signature=<Element, S where Element == S.Element, S : Sequence> (substitution Element -> UInt8) (substitution S -> String.UTF8View))] function_ref=single) (argument_list implicit (argument (type_expr type='[UInt8].Type' location=re.swift:2:13 range=[re.swift:2:13 - line:2:19] typerepr='[UInt8]')) )) (argument_list (argument (member_ref_expr type='String.UTF8View' location=re.swift:2:29 range=[re.swift:2:21 - line:2:29] decl=Swift.(file).String extension.utf8 (declref_expr type='String' location=re.swift:2:21 range=[re.swift:2:21 - line:2:21] decl=re.(file).check(_:_:).encoded@re.swift:1:14 function_ref=unapplied))) ))) (var_decl range=[re.swift:2:9 - line:2:9] "b" type='[UInt8]' interface type='[UInt8]' access=private readImpl=stored writeImpl=stored readWriteImpl=stored)
这段代码是函数 `check` 中的返回语句,描述了该函数的返回类型和返回值。具体来说,代码中包含以下信息:
- 函数的返回值类型为 `Bool`;
- 函数的返回值是一个代码块,其中包含了一个变量声明和一个表达式;
- 变量声明的名字为 `b`,类型为 `[UInt8]`,即无符号8位整数的数组;
- 表达式是一个 `call_expr`,用于构造一个 `[UInt8]` 类型的数组。该表达式的参数是一个 `String.UTF8View` 类型的值,表示将 `encoded` 字符串转换为 UTF-8 编码后的字节序列。
这段代码的作用是将 `encoded` 字符串转换为一个无符号8位整数的数组,并将其赋值给变量 `b`,然后返回一个 `Bool` 类型的值。根据函数名 `check` 和参数名 `keyValue` 可以猜测,该函数可能是用于验证字符串是否满足某些特定的加密算法的要求。
im.load() if im.readonly: im._copy() # make it writeable blend = 0 if mode is None: mode = im.mode if mode != im.mode: if mode == "RGBA" and im.mode == "RGB": blend = 1 else: msg = "mode mismatch" raise ValueError(msg) if mode == "P": self.palette = im.palette else: self.palette = None self._image = im self.im = im.im self.draw = Image.core.draw(self.im, blend) self.mode = mode if mode in ("I", "F"): self.ink = self.draw.draw_ink(1) else: self.ink = self.draw.draw_ink(-1) if mode in ("1", "P", "I", "F"): # FIXME: fix Fill2 to properly support matte for I+F images self.fontmode = "1" else: self.fontmode = "L" # aliasing is okay for other modes self.fill = False西边是这段代码的错误,应该怎么修改 File "F:\ana\anaconda3\envs\torch\lib\site-packages\PIL\ImageDraw.py", line 62, in __init__ im.load() AttributeError: 'numpy.ndarray' object has no attribute 'load'
根据代码的错误提示,'numpy.ndarray'对象没有'load'属性,所以你需要将im对象更改为一个PIL图像对象,而不是一个numpy数组对象。
你可以使用PIL库中的`Image.fromarray()`方法将numpy数组转换为PIL图像对象,然后再进行加载和操作。修改后的代码如下所示:
```python
from PIL import Image
# 将numpy数组转换为PIL图像对象
im = Image.fromarray(im)
im.load()
if im.readonly:
im._copy() # make it writeable
blend = 0
if mode is None:
mode = im.mode
if mode != im.mode:
if mode == "RGBA" and im.mode == "RGB":
blend = 1
else:
msg = "mode mismatch"
raise ValueError(msg)
if mode == "P":
self.palette = im.palette
else:
self.palette = None
self._image = im
self.im = im.im
self.draw = Image.core.draw(self.im, blend)
self.mode = mode
if mode in ("I", "F"):
self.ink = self.draw.draw_ink(1)
else:
self.ink = self.draw.draw_ink(-1)
if mode in ("1", "P", "I", "F"):
# FIXME: fix Fill2 to properly support matte for I+F images
self.fontmode = "1"
else:
self.fontmode = "L" # aliasing is okay for other modes
self.fill = False
```
这样,你就可以在加载numpy数组之前将其转换为PIL图像对象,然后在代码中继续使用它。
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