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Title:
Mark Shannon's presentation at the 2017 Language Summit · Issue #432 · python/typing
Description:
@ilevkivskyi @markshannon. Mark observed that the typing module uses classes to represent types. This can be expensive, since e.g. the type List[int] really ought to be the tuple (List, int) but it...
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Keywords {🔍}
class, type, classes, commented, types, generic, markshannon, jukkal, typing, code, member, gvanrossum, context, listint, list, performance, contributor, inheriting, things, mark, module, objects, pass, base, rare, sign, issue, ilevkivskyi, object, problem, implements, proposal, isinstance, files, examples, dict, open, simpler, wed, subclasses, import, printcmro, items, projects, problems, current, userdefined, change, str, inheritance,
Topics {✒️}
code open source dict' mypy mypy/binder issue open mypy/test/testsemanal user-defined classes string literal escaping means fewer bugs slower method calls 580k downloads/month backward compatibility break comment metadata assignees roughly equivalent code existing abc repurposed zulip code base classes impairs understanding concrete default implementations separate __typed_mro__ attribute efficient class mylist internal dropbox codebases application code typing import implements adopting type annotations type-hints spread real world examples generic type aliases classes representing types generic base classes lice dict[str fwiw typing subclasses list[int] generic type objects subclass mapping[int mypy/nodes type list[int] methods defined library code class frame mark observed comment annotations metaclass restrictions real objects mylist[int] base classes class mylist zulip makes backward incompatible internal api generic classes base class generic class
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- Already have an account?
- Are they available through Frame (I suppose so, as otherwise there's no way to construct an instance)?
- As the use of type-hints spread, I expect that applications that declare types will remain a (small?
- But who subclasses List[int]?
- Does anyone actually define their own generics, or even inherit from a type?
- How often, though?
- Is the code open source?
- Is there an actual proposal, what exactly is proposed to change and why?
- Be (with respect to type variables of dict)?
- Which is faster?
Schema {🗺️}
DiscussionForumPosting:
context:https://schema.org
headline:Mark Shannon's presentation at the 2017 Language Summit
articleBody:@ilevkivskyi @markshannon.
Mark observed that the typing module uses classes to represent types. This can be expensive, since e.g. the type List[int] really ought to be the tuple (List, int) but it's actually a class object which has a fair amount of overhead (though not as much as early versions of typing.py, since we now cache these class objects).
If we changed to tuples (or at least objects simpler than class object), we'd have a problem: The simpler object couldn't be subclassed from. But who subclasses List[int]? Then again, maybe simpler objects aren't the point?
Mark also pointed out that after
```python
from typing import List
class C(List[int]): pass
print(C.__mro__)
```
We find that `C.__mro__` has 17 items!
I confirmed this. The roughly equivalent code using collections.abc
```python
from collections.abc import MutableMapping
class C(MutableMapping): pass
print(C.__mro__)
```
has only 7 items. And subclassing builtins.list
```python
class C(list): pass
print(C.__mro__)
```
has only three.
This affects performance, e.g. which is faster?
```python
class C(list, Sequence[int]): pass
C().append(1)
class D(Sequence[int], list): pass
D().append(1)
```
One append() call is 10% faster than the other.
author:
url:https://github.com/gvanrossum
type:Person
name:gvanrossum
datePublished:2017-05-17T23:02:14.000Z
interactionStatistic:
type:InteractionCounter
interactionType:https://schema.org/CommentAction
userInteractionCount:53
url:https://github.com/432/typing/issues/432
context:https://schema.org
headline:Mark Shannon's presentation at the 2017 Language Summit
articleBody:@ilevkivskyi @markshannon.
Mark observed that the typing module uses classes to represent types. This can be expensive, since e.g. the type List[int] really ought to be the tuple (List, int) but it's actually a class object which has a fair amount of overhead (though not as much as early versions of typing.py, since we now cache these class objects).
If we changed to tuples (or at least objects simpler than class object), we'd have a problem: The simpler object couldn't be subclassed from. But who subclasses List[int]? Then again, maybe simpler objects aren't the point?
Mark also pointed out that after
```python
from typing import List
class C(List[int]): pass
print(C.__mro__)
```
We find that `C.__mro__` has 17 items!
I confirmed this. The roughly equivalent code using collections.abc
```python
from collections.abc import MutableMapping
class C(MutableMapping): pass
print(C.__mro__)
```
has only 7 items. And subclassing builtins.list
```python
class C(list): pass
print(C.__mro__)
```
has only three.
This affects performance, e.g. which is faster?
```python
class C(list, Sequence[int]): pass
C().append(1)
class D(Sequence[int], list): pass
D().append(1)
```
One append() call is 10% faster than the other.
author:
url:https://github.com/gvanrossum
type:Person
name:gvanrossum
datePublished:2017-05-17T23:02:14.000Z
interactionStatistic:
type:InteractionCounter
interactionType:https://schema.org/CommentAction
userInteractionCount:53
url:https://github.com/432/typing/issues/432
Person:
url:https://github.com/gvanrossum
name:gvanrossum
url:https://github.com/gvanrossum
name:gvanrossum
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interactionType:https://schema.org/CommentAction
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