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
我使用的解决方案:
这里发布的两个解决方案的组合,相对容易阅读,并支持默认值。
result = {
'a': lambda x: x * 5,
'b': lambda x: x + 7,
'c': lambda x: x - 2
}.get(whatToUse, lambda x: x - 22)(value)
哪里
.get('c', lambda x: x - 22)(23)
在dict中查找“lambda x:x-2”,并在x=23时使用它
.get('xxx', lambda x: x - 22)(44)
在dict中找不到它,使用默认的“lambda x:x-22”,x=44。
其他回答
仅仅将一些键映射到一些代码并不是一个真正的问题,正如大多数人在使用字典时所展示的那样。真正的诀窍是尝试模仿整个直通和中断过程。我认为我从来没有写过一个案例陈述,其中我使用了“功能”。这里有一个直通车。
def case(list): reduce(lambda b, f: (b | f[0], {False:(lambda:None),True:f[1]}[b | f[0]]())[0], list, False)
case([
(False, lambda:print(5)),
(True, lambda:print(4))
])
我真的把它想象成一个单独的陈述。我希望你能原谅这种愚蠢的格式。
reduce(
initializer=False,
function=(lambda b, f:
( b | f[0]
, { False: (lambda:None)
, True : f[1]
}[b | f[0]]()
)[0]
),
iterable=[
(False, lambda:print(5)),
(True, lambda:print(4))
]
)
我希望这是有效的Python代码。它应该能让你通过。当然,布尔检查可以是表达式,如果您希望它们被延迟求值,那么可以将它们全部封装在lambda中。在执行了列表中的一些项目之后,也不难让它被接受。只需创建元组(bool,bool,function),其中第二个bool指示是否突破或放弃。
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)
虽然已经有了足够的答案,但我想指出一个更简单、更强大的解决方案:
class Switch:
def __init__(self, switches):
self.switches = switches
self.between = len(switches[0]) == 3
def __call__(self, x):
for line in self.switches:
if self.between:
if line[0] <= x < line[1]:
return line[2]
else:
if line[0] == x:
return line[1]
return None
if __name__ == '__main__':
between_table = [
(1, 4, 'between 1 and 4'),
(4, 8, 'between 4 and 8')
]
switch_between = Switch(between_table)
print('Switch Between:')
for i in range(0, 10):
if switch_between(i):
print('{} is {}'.format(i, switch_between(i)))
else:
print('No match for {}'.format(i))
equals_table = [
(1, 'One'),
(2, 'Two'),
(4, 'Four'),
(5, 'Five'),
(7, 'Seven'),
(8, 'Eight')
]
print('Switch Equals:')
switch_equals = Switch(equals_table)
for i in range(0, 10):
if switch_equals(i):
print('{} is {}'.format(i, switch_equals(i)))
else:
print('No match for {}'.format(i))
输出:
Switch Between:
No match for 0
1 is between 1 and 4
2 is between 1 and 4
3 is between 1 and 4
4 is between 4 and 8
5 is between 4 and 8
6 is between 4 and 8
7 is between 4 and 8
No match for 8
No match for 9
Switch Equals:
No match for 0
1 is One
2 is Two
No match for 3
4 is Four
5 is Five
No match for 6
7 is Seven
8 is Eight
No match for 9
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]()
我一直喜欢这样做
result = {
'a': lambda x: x * 5,
'b': lambda x: x + 7,
'c': lambda x: x - 2
}[value](x)
从这里开始