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
我倾向于使用字典的解决方案是:
def decision_time( key, *args, **kwargs):
def action1()
"""This function is a closure - and has access to all the arguments"""
pass
def action2()
"""This function is a closure - and has access to all the arguments"""
pass
def action3()
"""This function is a closure - and has access to all the arguments"""
pass
return {1:action1, 2:action2, 3:action3}.get(key,default)()
这样做的优点是它不需要每次都对函数求值,您只需确保外部函数获得内部函数所需的所有信息。
其他回答
如果您不担心丢失案例套件中的语法高亮显示,可以执行以下操作:
exec {
1: """
print ('one')
""",
2: """
print ('two')
""",
3: """
print ('three')
""",
}.get(value, """
print ('None')
""")
其中value是值。在C中,这将是:
switch (value) {
case 1:
printf("one");
break;
case 2:
printf("two");
break;
case 3:
printf("three");
break;
default:
printf("None");
break;
}
我们还可以创建一个helper函数来实现这一点:
def switch(value, cases, default):
exec cases.get(value, default)
因此,我们可以将其用于一、二和三的示例:
switch(value, {
1: """
print ('one')
""",
2: """
print ('two')
""",
3: """
print ('three')
""",
}, """
print ('None')
""")
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
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)()
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。