blocks|key|644382|text|您可以通过以下类型使用GeneratorType：|type|unstyled|depth|inlineStyleRanges|entityRanges|data|644383|>>>+import+types
>>>+types.GeneratorType
<class+'generator'>
>>>+gen+=+(i+for+i+in+range(10))
>>>+isinstance(gen,+types.GeneratorType)
True|code-block|syntax|javascript|644384|entityMap^0|0|0^^$0|@$1|2|3|4|5|6|7|I|8|@]|9|@]|A|$]]|$1|B|3|C|5|D|7|J|8|@]|9|@]|A|$E|F]]|$1|G|3|-4|5|6|7|K|8|@]|9|@]|A|$]]]|H|$]]

You can use GeneratorType from types:

<pre><code>&gt;&gt;&gt; import types
&gt;&gt;&gt; types.GeneratorType
&lt;class 'generator'&gt;
&gt;&gt;&gt; gen = (i for i in range(10))
&gt;&gt;&gt; isinstance(gen, types.GeneratorType)
True
</code></pre>

blocks|key|644388|text|>>>+import+inspect
>>>+
>>>+def+foo():
...+++yield+'foo'
...+
>>>+print+inspect.isgeneratorfunction(foo)
True|type|code-block|depth|inlineStyleRanges|entityRanges|data|syntax|javascript|644389|unstyled|entityMap^0|0^^$0|@$1|2|3|4|5|6|7|G|8|@]|9|@]|A|$B|C]]|$1|D|3|-4|5|E|7|H|8|@]|9|@]|A|$]]]|F|$]]

<pre><code>&gt;&gt;&gt; import inspect
&gt;&gt;&gt; 
&gt;&gt;&gt; def foo():
... yield 'foo'
... 
&gt;&gt;&gt; print inspect.isgeneratorfunction(foo)
True
</code></pre>

blocks|key|644445|text|如果你想检查纯生成器(即“generator”类的对象)，inspect.isgenerator函数就行了。但是，如果您检查izip迭代器，它将返回False。检查通用生成器的另一种方法是使用以下函数：|type|unstyled|depth|inlineStyleRanges|offset|length|style|CODE|entityRanges|data|644446|def+isgenerator(iterable):
++++return+hasattr(iterable,'__iter__')+and+not+hasattr(iterable,'__len__')|code-block|syntax|javascript|644447|entityMap^0|T|J|1Q|4|22|5|0|0^^$0|@$1|2|3|4|5|6|7|M|8|@$9|N|A|O|B|C]|$9|P|A|Q|B|C]|$9|R|A|S|B|C]]|D|@]|E|$]]|$1|F|3|G|5|H|7|T|8|@]|D|@]|E|$I|J]]|$1|K|3|-4|5|6|7|U|8|@]|D|@]|E|$]]]|L|$]]

The <code>inspect.isgenerator</code> function is fine if you want to check for pure generators (i.e. objects of class "generator"). However it will return <code>False</code> if you check, for example, a <code>izip</code> iterable. An alternative way for checking for a generalised generator is to use this function:

<pre><code>def isgenerator(iterable):
 return hasattr(iterable,'__iter__') and not hasattr(iterable,'__len__')
</code></pre>

blocks|key|644514|text|如果您正在使用tornado、webserver或类似的方法，您可能会发现服务器方法实际上是生成器，而不是方法。这使得调用其他方法变得很困难，因为yield在方法中不起作用，因此您需要开始管理链式生成器对象池。管理链式生成器池的一个简单方法是创建一个帮助函数，例如|type|unstyled|depth|inlineStyleRanges|entityRanges|data|644515|def+chainPool(*arg):
++++for+f+in+arg:
++++++if(hasattr(f,"__iter__")):
++++++++++for+e+in+f:
+++++++++++++yield+e
++++++else:
+++++++++yield+f|code-block|syntax|javascript|644516|现在编写链式生成器，比如|644517|[x+for+x+in+chainPool(chainPool(1,2),3,4,chainPool(5,chainPool(6)))]|644518|产生输出|644519|[1,+2,+3,+4,+5,+6]|644520|这可能是你想要的，如果你想使用生成器作为线程的替代品或类似的。|644521|entityMap^0|0|0|0|0|0|0|0^^$0|@$1|2|3|4|5|6|7|S|8|@]|9|@]|A|$]]|$1|B|3|C|5|D|7|T|8|@]|9|@]|A|$E|F]]|$1|G|3|H|5|6|7|U|8|@]|9|@]|A|$]]|$1|I|3|J|5|D|7|V|8|@]|9|@]|A|$E|F]]|$1|K|3|L|5|6|7|W|8|@]|9|@]|A|$]]|$1|M|3|N|5|D|7|X|8|@]|9|@]|A|$E|F]]|$1|O|3|P|5|6|7|Y|8|@]|9|@]|A|$]]|$1|Q|3|-4|5|6|7|Z|8|@]|9|@]|A|$]]]|R|$]]

If you are using tornado webserver or similar you might have found that server methods are actually generators and not methods. This makes it difficult to call other methods because yield is not working inside the method and therefore you need to start managing pools of chained generator objects. A simple method to manage pools of chained generators is to create a help function such as 

<pre><code>def chainPool(*arg):
 for f in arg:
 if(hasattr(f,"__iter__")):
 for e in f:
 yield e
 else:
 yield f
</code></pre>

Now writing chained generators such as

<pre><code>[x for x in chainPool(chainPool(1,2),3,4,chainPool(5,chainPool(6)))]
</code></pre>

Produces output

<pre><code>[1, 2, 3, 4, 5, 6]
</code></pre>

Which is probably what you want if your looking to use generators as a thread alternative or similar.

blocks|key|644761|text|您可以使用迭代器，或者更具体地说，使用typing模块中的生成器。|type|unstyled|depth|inlineStyleRanges|entityRanges|offset|length|data|644762|from+typing+import+Generator,+Iterator
g+=+(i+for+i+in+range(1_000_000))
print(type(g))
print(isinstance(g,+Generator))
print(isinstance(g,+Iterator))|code-block|syntax|javascript|644763|结果：|644764|<class+'generator'>
True
True|644765|entityMap|0|LINK|mutability|MUTABLE|url|https://docs.python.org/3/library/typing.html?highlight=typing#module-typing^0|J|6|0|0|0|0|0^^$0|@$1|2|3|4|5|6|7|U|8|@]|9|@$A|V|B|W|1|X]]|C|$]]|$1|D|3|E|5|F|7|Y|8|@]|9|@]|C|$G|H]]|$1|I|3|J|5|6|7|Z|8|@]|9|@]|C|$]]|$1|K|3|L|5|F|7|10|8|@]|9|@]|C|$G|H]]|$1|M|3|-4|5|6|7|11|8|@]|9|@]|C|$]]]|N|$O|$5|P|Q|R|C|$S|T]]]]

You could use the Iterator or more specifically, the Generator from the <a href="https://docs.python.org/3/library/typing.html?highlight=typing#module-typing" rel="noreferrer">typing</a> module.

<pre><code>from typing import Generator, Iterator
g = (i for i in range(1_000_000))
print(type(g))
print(isinstance(g, Generator))
print(isinstance(g, Iterator))
</code></pre>

<h3>result:</h3>

<pre><code>&lt;class 'generator'&gt;
True
True
</code></pre>

blocks|key|862070|text|(我知道这是一个古老的帖子。)不需要导入模块，您可以在程序开始时声明一个用于比较的对象：|type|unstyled|depth|inlineStyleRanges|entityRanges|data|862071|gentyp=+type(1+for+i+in+"")++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
+++++++...
type(myobject)+==+gentyp|code-block|syntax|javascript|862072|entityMap^0|0|0^^$0|@$1|2|3|4|5|6|7|I|8|@]|9|@]|A|$]]|$1|B|3|C|5|D|7|J|8|@]|9|@]|A|$E|F]]|$1|G|3|-4|5|6|7|K|8|@]|9|@]|A|$]]]|H|$]]

(I know it's an old post.) There is no need to import a module, you can declare an object for comparison at the beginning of the program:

<pre><code>gentyp= type(1 for i in "") 
 ...
type(myobject) == gentyp
</code></pre>

In python, how do I check if an object is a generator object?

Trying this - 

<pre><code>&gt;&gt;&gt; type(myobject, generator)
</code></pre>

gives the error -

<pre><code>Traceback (most recent call last):
 File "&lt;stdin&gt;", line 1, in &lt;module&gt;
NameError: name 'generator' is not defined
</code></pre>

(I know I can check if the object has a <code>next</code> method for it to be a generator, but I want some way using which I can determine the type of any object, not just generators.)

How to check if an object is a generator object in python?

服务器

在python中，如何检查一个对象是否是生成器对象？试试看->>> type(myobject, generator)给出了错误-Traceback (most recent call last): File "<stdin>", line 1, in <module>NameError: name 'generat...

问如何在python中检查一个对象是否是生成器对象？
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