我想用Python编写一个函数,根据输入索引的值返回不同的固定值。
在其他语言中,我会使用switch或case语句,但Python似乎没有switch语句。在此场景中,推荐的Python解决方案是什么?
我想用Python编写一个函数,根据输入索引的值返回不同的固定值。
在其他语言中,我会使用switch或case语句,但Python似乎没有switch语句。在此场景中,推荐的Python解决方案是什么?
当前回答
作为Mark Biek答案的一个小变化,对于像这样的不常见情况,用户有一堆函数调用要延迟,而参数要打包(而且不值得构建一堆不符合逻辑的函数),而不是这样:
d = {
"a1": lambda: a(1),
"a2": lambda: a(2),
"b": lambda: b("foo"),
"c": lambda: c(),
"z": lambda: z("bar", 25),
}
return d[string]()
…您可以这样做:
d = {
"a1": (a, 1),
"a2": (a, 2),
"b": (b, "foo"),
"c": (c,)
"z": (z, "bar", 25),
}
func, *args = d[string]
return func(*args)
这当然更短,但它是否更可读是一个悬而未决的问题…
我认为从lambda转换为partial可能更容易理解(虽然不是更简单):
d = {
"a1": partial(a, 1),
"a2": partial(a, 2),
"b": partial(b, "foo"),
"c": c,
"z": partial(z, "bar", 25),
}
return d[string]()
…它的优点是可以很好地处理关键字参数:
d = {
"a1": partial(a, 1),
"a2": partial(a, 2),
"b": partial(b, "foo"),
"c": c,
"k": partial(k, key=int),
"z": partial(z, "bar", 25),
}
return d[string]()
其他回答
我做了一个switch-case实现,它在外部不太使用if(它仍然在类中使用if)。
class SwitchCase(object):
def __init__(self):
self._cases = dict()
def add_case(self,value, fn):
self._cases[value] = fn
def add_default_case(self,fn):
self._cases['default'] = fn
def switch_case(self,value):
if value in self._cases.keys():
return self._cases[value](value)
else:
return self._cases['default'](0)
这样使用:
from switch_case import SwitchCase
switcher = SwitchCase()
switcher.add_case(1, lambda x:x+1)
switcher.add_case(2, lambda x:x+3)
switcher.add_default_case(lambda _:[1,2,3,4,5])
print switcher.switch_case(1) #2
print switcher.switch_case(2) #5
print switcher.switch_case(123) #[1, 2, 3, 4, 5]
除了字典方法(我很喜欢,BTW),您还可以使用if elif else来获得switch/case/default功能:
if x == 'a':
# Do the thing
elif x == 'b':
# Do the other thing
if x in 'bc':
# Fall-through by not using elif, but now the default case includes case 'a'!
elif x in 'xyz':
# Do yet another thing
else:
# Do the default
当然,这与switch/case不同——你不可能像放弃break语句那样轻易地通过,但你可以进行更复杂的测试。它的格式比一系列嵌套的if更好,尽管在功能上更接近。
switch语句只是if/elif/else的语法糖。任何控制语句所做的都是基于某个条件(即决策路径)来授权作业。为了将其包装到模块中并能够基于其唯一id调用作业,可以使用继承和Python中的任何方法都是虚拟的这一事实来提供派生类特定的作业实现,作为特定的“case”处理程序:
#!/usr/bin/python
import sys
class Case(object):
"""
Base class which specifies the interface for the "case" handler.
The all required arbitrary arguments inside "execute" method will be
provided through the derived class
specific constructor
@note in Python, all class methods are virtual
"""
def __init__(self, id):
self.id = id
def pair(self):
"""
Pairs the given id of the "case" with
the instance on which "execute" will be called
"""
return (self.id, self)
def execute(self): # Base class virtual method that needs to be overridden
pass
class Case1(Case):
def __init__(self, id, msg):
self.id = id
self.msg = msg
def execute(self): # Override the base class method
print("<Case1> id={}, message: \"{}\"".format(str(self.id), self.msg))
class Case2(Case):
def __init__(self, id, n):
self.id = id
self.n = n
def execute(self): # Override the base class method
print("<Case2> id={}, n={}.".format(str(self.id), str(self.n)))
print("\n".join(map(str, range(self.n))))
class Switch(object):
"""
The class which delegates the jobs
based on the given job id
"""
def __init__(self, cases):
self.cases = cases # dictionary: time complexity for the access operation is 1
def resolve(self, id):
try:
cases[id].execute()
except KeyError as e:
print("Given id: {} is wrong!".format(str(id)))
if __name__ == '__main__':
# Cases
cases=dict([Case1(0, "switch").pair(), Case2(1, 5).pair()])
switch = Switch(cases)
# id will be dynamically specified
switch.resolve(0)
switch.resolve(1)
switch.resolve(2)
还有另一种选择:
def fnc_MonthSwitch(int_Month): #### Define a function take in the month variable
str_Return ="Not Found" #### Set Default Value
if int_Month==1: str_Return = "Jan"
if int_Month==2: str_Return = "Feb"
if int_Month==3: str_Return = "Mar"
return str_Return; #### Return the month found
print ("Month Test 3: " + fnc_MonthSwitch( 3) )
print ("Month Test 14: " + fnc_MonthSwitch(14) )
运行函数的解决方案:
result = {
'case1': foo1,
'case2': foo2,
'case3': foo3,
}.get(option)(parameters_optional)
其中foo1()、foo2()和foo3()是函数
示例1(带参数):
option = number['type']
result = {
'number': value_of_int, # result = value_of_int(number['value'])
'text': value_of_text, # result = value_of_text(number['value'])
'binary': value_of_bin, # result = value_of_bin(number['value'])
}.get(option)(value['value'])
示例2(无参数):
option = number['type']
result = {
'number': func_for_number, # result = func_for_number()
'text': func_for_text, # result = func_for_text()
'binary': func_for_bin, # result = func_for_bin()
}.get(option)()
示例4(仅限值):
option = number['type']
result = {
'number': lambda: 10, # result = 10
'text': lambda: 'ten', # result = 'ten'
'binary': lambda: 0b101111, # result = 47
}.get(option)()