Python:重构模式
摄影:Patric Ho
这份简明指南将 Python 代码气味映射到相应的设计模式解决方案。
class CodeSmellSolutions: DUPLICATED_CODE = [ "form_template_method", "introduce_polymorphic_creation_with_factory_method", "chain_constructors", "replace_one__many_distinctions_with_composite", "extract_composite", "unify_interfaces_with_adapter", "introduce_null_object", ] LONG_METHOD = [ "compose_method", "move_accumulation_to_collecting_parameter", "replace_conditional_dispatcher_with_command", "move_accumulation_to_visitor", "replace_conditional_logic_with_strategy", ] CONDITIONAL_COMPLEXITY = [ # Complex conditional logic "replace_conditional_logic_with_strategy", "move_emblishment_to_decorator", "replace_state_altering_conditionals_with_state", "introduce_null_object", ] PRIMITIVE_OBSESSION = [ "replace_type_code_with_class", "replace_state_altering_conditionals_with_state", "replace_conditional_logic_with_strategy", "replace_implict_tree_with_composite", "replace_implicit_language_with_interpreter", "move_emblishment_to_decorator", "encapsulate_composite_with_builder", ] INDECENT_EXPOSURE = [ # Lack of information hiding "encapsulate_classes_with_factory" ] SOLUTION_SPRAWL = [ # Scattered logic/responsibility "move_creation_knowledge_to_factory" ] ALTERNATIVE_CLASSES_WITH_DIFFERENT_INTERFACES = [ # Similar classes, different interfaces "unify_interfaces_with_adapter" ] LAZY_CLASS = [ # Insufficient functionality "inline_singleton" ] LARGE_CLASS = [ "replace_conditional_dispatcher_with_command", "replace_state_altering_conditionals_with_state", "replace_implict_tree_with_composite", ] SWITCH_STATEMENTS = [ # Complex switch statements "replace_conditional_dispatcher_with_command", "move_accumulation_to_visitor", ] COMBINATION_EXPLOSION = [ # Similar code for varying data "replace_implicit_language_with_interpreter" ] ODDBALL_SOLUTIONS = [ # Multiple solutions for same problem "unify_interfaces_with_adapter" ]
Python 中的重构示例
该项目将重构示例从 Refactoring to Patterns (Joshua Kerievsky) 翻译成 Python。每个示例都显示原始和重构的代码,突出显示改进。 重构过程涉及解释 UML 图并使 Java 代码适应 Python 的细微差别(处理循环导入和接口)。
示例:撰写方法
“Compose Method”重构通过提取更小、更有意义的方法来简化复杂的代码。
# Original (complex) code def add(element): readonly = False size = 0 elements = [] if not readonly: new_size = size + 1 if new_size > len(elements): new_elements = [] for i in range(size): new_elements[i] = elements[i] # Potential IndexError elements = new_elements size += 1 elements[size] = element # Potential IndexError # Refactored (simplified) code def is_at_capacity(new_size, elements): return new_size > len(elements) def grow_array(size, elements): new_elements = [elements[i] for i in range(size)] # List comprehension for clarity return new_elements def add_element(elements, element, size): elements.append(element) # More Pythonic approach return len(elements) -1 def add_refactored(element): readonly = False if readonly: return size = len(elements) new_size = size + 1 if is_at_capacity(new_size, elements): elements = grow_array(size, elements) size = add_element(elements, element, size)
示例:多态性(测试自动化)
此示例演示了测试自动化中的多态性,抽象了测试设置以实现可重用性。
# Original code (duplicate setup) class TestCase: pass class DOMBuilder: def __init__(self, orders): pass def calc(self): return 42 class XMLBuilder: def __init__(self, orders): pass def calc(self): return 42 class DOMTest(TestCase): def run_dom_test(self): expected = 42 builder = DOMBuilder("orders") assert builder.calc() == expected class XMLTest(TestCase): def run_xml_test(self): expected = 42 builder = XMLBuilder("orders") assert builder.calc() == expected # Refactored code (polymorphic setup) class OutputBuilder: def calc(self): raise NotImplementedError class DOMBuilderRefac(OutputBuilder): def calc(self): return 42 class XMLBuilderRefac(OutputBuilder): def calc(self): return 42 class TestCaseRefac: def create_builder(self): raise NotImplementedError def run_test(self): expected = 42 builder = self.create_builder() assert builder.calc() == expected class DOMTestRefac(TestCaseRefac): def create_builder(self): return DOMBuilderRefac() class XMLTestRefac(TestCaseRefac): def create_builder(self): return XMLBuilderRefac()
示例:访客模式
访问者模式将类与其方法解耦。
# Original code (conditional logic in TextExtractor) class Node: pass class LinkTag(Node): pass class Tag(Node): pass class StringNode(Node): pass class TextExtractor: def extract_text(self, nodes): result = [] for node in nodes: if isinstance(node, StringNode): result.append("string") elif isinstance(node, LinkTag): result.append("linktag") elif isinstance(node, Tag): result.append("tag") else: result.append("other") return result # Refactored code (using Visitor) class NodeVisitor: def visit_link_tag(self, node): return "linktag" def visit_tag(self, node): return "tag" def visit_string_node(self, node): return "string" class Node: def accept(self, visitor): pass class LinkTagRefac(Node): def accept(self, visitor): return visitor.visit_link_tag(self) class TagRefac(Node): def accept(self, visitor): return visitor.visit_tag(self) class StringNodeRefac(Node): def accept(self, visitor): return visitor.visit_string_node(self) class TextExtractorVisitor(NodeVisitor): def extract_text(self, nodes): result = [node.accept(self) for node in nodes] return result
结论
这种通过重构学习设计模式的实用方法可以显着增强理解。 翻译代码时遇到的挑战巩固了理论知识。
以上是Python:重构模式的详细内容。更多信息请关注PHP中文网其他相关文章!

热AI工具

Undresser.AI Undress
人工智能驱动的应用程序,用于创建逼真的裸体照片

AI Clothes Remover
用于从照片中去除衣服的在线人工智能工具。

Undress AI Tool
免费脱衣服图片

Clothoff.io
AI脱衣机

Video Face Swap
使用我们完全免费的人工智能换脸工具轻松在任何视频中换脸!

热门文章

热工具

记事本++7.3.1
好用且免费的代码编辑器

SublimeText3汉化版
中文版,非常好用

禅工作室 13.0.1
功能强大的PHP集成开发环境

Dreamweaver CS6
视觉化网页开发工具

SublimeText3 Mac版
神级代码编辑软件(SublimeText3)

Python在游戏和GUI开发中表现出色。1)游戏开发使用Pygame,提供绘图、音频等功能,适合创建2D游戏。2)GUI开发可选择Tkinter或PyQt,Tkinter简单易用,PyQt功能丰富,适合专业开发。

Python更易学且易用,C 则更强大但复杂。1.Python语法简洁,适合初学者,动态类型和自动内存管理使其易用,但可能导致运行时错误。2.C 提供低级控制和高级特性,适合高性能应用,但学习门槛高,需手动管理内存和类型安全。

要在有限的时间内最大化学习Python的效率,可以使用Python的datetime、time和schedule模块。1.datetime模块用于记录和规划学习时间。2.time模块帮助设置学习和休息时间。3.schedule模块自动化安排每周学习任务。

Python在开发效率上优于C ,但C 在执行性能上更高。1.Python的简洁语法和丰富库提高开发效率。2.C 的编译型特性和硬件控制提升执行性能。选择时需根据项目需求权衡开发速度与执行效率。

pythonlistsarepartofthestAndArdLibrary,herilearRaysarenot.listsarebuilt-In,多功能,和Rused ForStoringCollections,而EasaraySaraySaraySaraysaraySaraySaraysaraySaraysarrayModuleandleandleandlesscommonlyusedDduetolimitedFunctionalityFunctionalityFunctionality。

Python在自动化、脚本编写和任务管理中表现出色。1)自动化:通过标准库如os、shutil实现文件备份。2)脚本编写:使用psutil库监控系统资源。3)任务管理:利用schedule库调度任务。Python的易用性和丰富库支持使其在这些领域中成为首选工具。

每天学习Python两个小时是否足够?这取决于你的目标和学习方法。1)制定清晰的学习计划,2)选择合适的学习资源和方法,3)动手实践和复习巩固,可以在这段时间内逐步掌握Python的基本知识和高级功能。

Python和C 各有优势,选择应基于项目需求。1)Python适合快速开发和数据处理,因其简洁语法和动态类型。2)C 适用于高性能和系统编程,因其静态类型和手动内存管理。
