diff --git a/pyguide.md b/pyguide.md
index 15bfed3ef..71eb6daf9 100644
--- a/pyguide.md
+++ b/pyguide.md
@@ -212,12 +212,7 @@ that the arguments are actually unused.
### 2.2 Imports
Use `import` statements for packages and modules only, not for individual
-classes or functions. Classes imported from the
-[`typing` module](#typing-imports), [`collections.abc` module](#typing-imports),
-[`typing_extensions` module](https://github.com/python/typing/tree/master/typing_extensions),
-and redirects from the
-[six.moves module](https://six.readthedocs.io/#module-six.moves)
-are exempt from this rule.
+classes or functions.
@@ -272,6 +267,18 @@ Do not use relative names in imports. Even if the module is in the same package,
use the full package name. This helps prevent unintentionally importing a
package twice.
+
+##### 2.2.4.1 Exemptions
+
+Exemptions from this rule:
+
+* Classes imported from the [`typing` module](#typing-imports).
+* Classes imported from the [`collections.abc` module](#typing-imports).
+* Classes imported from the
+ [`typing_extensions` module](https://github.com/python/typing/tree/HEAD/typing_extensions).
+* Redirects from the
+ [six.moves module](https://six.readthedocs.io/#module-six.moves).
+
@@ -722,14 +729,12 @@ Yes: for key in adict: ...
if obj in alist: ...
for line in afile: ...
for k, v in adict.items(): ...
- for k, v in six.iteritems(adict): ...
```
```python
No: for key in adict.keys(): ...
if not adict.has_key(key): ...
for line in afile.readlines(): ...
- for k, v in dict.iteritems(): ...
```
@@ -744,7 +749,7 @@ Use generators as needed.
-#### 2.9 Definition
+#### 2.9.1 Definition
A generator function returns an iterator that yields a value each time it
executes a yield statement. After it yields a value, the runtime state of the
@@ -766,7 +771,8 @@ creates an entire list of values at once.
#### 2.9.3 Cons
-None.
+Local variables in the generator will not be garbage collected until the
+generator is either consumed to exhaustion or itself garbage collected.
@@ -777,6 +783,11 @@ None.
Fine. Use "Yields:" rather than "Returns:" in the docstring for generator
functions.
+If the generator manages an expensive resource, make sure to force the clean up.
+
+A good way to do the clean up is by wrapping the generator with a context
+manager [PEP-0533](https://peps.python.org/pep-0533/).
+
@@ -1415,14 +1426,6 @@ In code that may execute on versions as old as 3.5 rather than >= 3.7, import:
from __future__ import generator_stop
```
-For legacy code with the burden of continuing to support 2.7, import:
-
-```python
-from __future__ import absolute_import
-from __future__ import division
-from __future__ import print_function
-```
-
For more information read the
[Python future statement definitions](https://docs.python.org/3/library/__future__.html)
documentation.
@@ -1433,19 +1436,7 @@ feature a specific future import enables in your code today, keeping it in place
in the file prevents later modifications of the code from inadvertently
depending on the older behavior.
-Use other `from __future__` import statements as you see fit. We did not include
-`unicode_literals` in our recommendations for 2.7 as it was not a clear win due
-to implicit default codec conversion consequences it introduced in many places
-within 2.7. Most dual-version 2-and-3 code was better off with explicit use of
-`b''` and `u''` bytes and unicode string literals where necessary.
-
-##### The six, future, and past libraries
-
-When your project still needs to support use under both Python 2 and 3, use the
-[six](https://pypi.org/project/six/),
-[future](https://pypi.org/project/future/), and
-[past](https://pypi.org/project/past/) libraries as you see fit. They exist to
-make your code cleaner and life easier.
+Use other `from __future__` import statements as you see fit.
@@ -1455,11 +1446,10 @@ make your code cleaner and life easier.
### 2.21 Type Annotated Code
-You can annotate Python 3 code with type hints according to
+You can annotate Python code with type hints according to
[PEP-484](https://www.python.org/dev/peps/pep-0484/), and type-check the code at
build time with a type checking tool like [pytype](https://github.com/google/pytype).
-
Type annotations can be in the source or in a
[stub pyi file](https://www.python.org/dev/peps/pep-0484/#stub-files). Whenever
possible, annotations should be in the source. Use pyi files for third-party or
@@ -2129,8 +2119,8 @@ If your class has public attributes, they should be documented here in an
class SampleClass:
"""Summary of class here.
- Longer class information....
- Longer class information....
+ Longer class information...
+ Longer class information...
Attributes:
likes_spam: A boolean indicating if we like SPAM or not.
@@ -2146,6 +2136,34 @@ class SampleClass:
"""Performs operation blah."""
```
+All class docstrings should start with a one-line summary that describes what
+the class instance represents. This implies that subclasses of `Exception`
+should also describe what the exception represents, and not the context in which
+it might occur. The class docstring should not repeat unnecessary information,
+such as that the class is a class.
+
+```python
+class CheeseShopAddress:
+ """The address of a cheese shop.
+
+ ...
+ """
+
+class OutOfCheeseError(Exception):
+ """No more cheese is available."""
+```
+
+```python
+class CheeseShopAddress:
+ """Class that describes the address of a cheese shop.
+
+ ...
+ """
+
+class OutOfCheeseError(Exception):
+ """Raised when no more cheese is available."""
+```
+
@@ -2542,9 +2560,7 @@ grouped from most generic to least generic:
1. Python future import statements. For example:
```python
- from __future__ import absolute_import
- from __future__ import division
- from __future__ import print_function
+ from __future__ import annotations
```
See [above](#from-future-imports) for more information about those.
@@ -2945,13 +2961,23 @@ the function into smaller and more manageable pieces.
* Familiarize yourself with
[PEP-484](https://www.python.org/dev/peps/pep-0484/).
+
* In methods, only annotate `self`, or `cls` if it is necessary for proper
- type information. e.g., `@classmethod def create(cls: Type[T]) -> T: return
- cls()`
+ type information. e.g.,
+
+ ```python
+ @classmethod
+ def create(cls: Type[T]) -> T:
+ return cls()
+ ```
+
* Similarly, don't feel compelled to annotate the return value of `__init__`
(where `None` is the only valid option).
+
* If any other variable or a returned type should not be expressed, use `Any`.
+
* You are not required to annotate all the functions in a module.
+
- At least annotate your public APIs.
- Use judgment to get to a good balance between safety and clarity on the
one hand, and flexibility on the other.
@@ -3245,8 +3271,7 @@ def add(a: AddableType, b: AddableType) -> AddableType:
```
A common predefined type variable in the `typing` module is `AnyStr`. Use it for
-multiple annotations that can be `bytes` or `unicode` and must all be the same
-type.
+multiple annotations that can be `bytes` or `str` and must all be the same type.
```python
from typing import AnyStr
@@ -3283,46 +3308,16 @@ No:
#### 3.19.11 String types
-The proper type for annotating strings depends on what versions of Python the
-code is intended for.
+> Do not use `typing.Text` in new code. It's only for Python 2/3 compatibility.
-Prefer to use `str`, though `Text` is also acceptable. Be consistent in using
-one or the other. For code that deals with binary data, use `bytes`. For Python
-2 compatible code that processes text data (`str` or `unicode` in Python 2,
-`str` in Python 3), use `Text`.
+Use `str` for string/text data. For code that deals with binary data, use
+`bytes`.
```python
-def deals_with_text_data_in_py3(x: str) -> str:
+def deals_with_text_data(x: str) -> str:
...
def deals_with_binary_data(x: bytes) -> bytes:
...
-def py2_compatible_text_data_processor(x: Text) -> Text:
- ...
-```
-
-In some uncommon Python 2 compatibility cases, `str` may make sense instead of
-`Text`, typically to aid compatibility when the return types aren't the same
-between Python 2 and Python 3. Never use `unicode` as it doesn't exist in Python
-3. The reason this discrepancy exists is because `str` means something different
-in Python 2 than in Python 3.
-
-No:
-
-```python
-def py2_code(x: str) -> unicode:
- ...
-```
-
-If the type can be either bytes or text, use `Union`, with the appropriate text
-type.
-
-```python
-from typing import Text, Union
-...
-def py3_only(x: Union[bytes, str]) -> Union[bytes, str]:
- ...
-def py2_compatible(x: Union[bytes, Text]) -> Union[bytes, Text]:
- ...
```
If all the string types of a function are always the same, for example if the
@@ -3336,11 +3331,11 @@ return type is the same as the argument type in the code above, use
#### 3.19.12 Imports For Typing
-For classes from the `typing` and `collections.abc` modules for use in
-annotations, always import the class itself. This keeps common annotations more
-concise and matches typing practices used around the world. You are explicitly
-allowed to import multiple specific classes on one line from the `typing` and
-`collections.abc` modules. Ex:
+For symbols from the `typing` and `collections.abc` modules used to support
+static analysis and type checking, always import the symbol itself. This keeps
+common annotations more concise and matches typing practices used around the
+world. You are explicitly allowed to import multiple specific classes on one
+line from the `typing` and `collections.abc` modules. Ex:
```python
from collections.abc import Mapping, Sequence