programming python

Bổ sung trong trăn

Các đối tượng là sự trừu tượng hóa dữ liệu của Python. Tất cả dữ liệu trong chương trình Python được biểu diễn bằng đối tượng hoặc bằng quan hệ giữa các đối tượng. [In a sense, and in conformance to Von Neumann’s model of a “stored program computer”, code is also represented by objects. ]

Every object has an identity, a type and a value. An object’s identity never changes once it has been created; you may think of it as the object’s address in memory. The ‘

import sys
from types import ModuleType

class VerboseModule[ModuleType]:
    def __repr__[self]:
        return f'Verbose {self.__name__}'

    def __setattr__[self, attr, value]:
        print[f'Setting {attr}...']
        super[].__setattr__[attr, value]

sys.modules[__name__].__class__ = VerboseModule

7’ operator compares the identity of two objects; the

import sys
from types import ModuleType

class VerboseModule[ModuleType]:
    def __repr__[self]:
        return f'Verbose {self.__name__}'

    def __setattr__[self, attr, value]:
        print[f'Setting {attr}...']
        super[].__setattr__[attr, value]

sys.modules[__name__].__class__ = VerboseModule

8 function returns an integer representing its identity

Chi tiết triển khai CPython. For CPython,

import sys
from types import ModuleType

class VerboseModule[ModuleType]:
    def __repr__[self]:
        return f'Verbose {self.__name__}'

    def __setattr__[self, attr, value]:
        print[f'Setting {attr}...']
        super[].__setattr__[attr, value]

sys.modules[__name__].__class__ = VerboseModule

9 is the memory address where

class Philosopher:
    def __init_subclass__[cls, /, default_name, **kwargs]:
        super[].__init_subclass__[**kwargs]
        cls.default_name = default_name

class AustralianPhilosopher[Philosopher, default_name="Bruce"]:
    pass

0 is stored

Loại đối tượng xác định các hoạt động mà đối tượng hỗ trợ [e. g. , "nó có độ dài không?"] và cũng xác định các giá trị có thể có cho các đối tượng thuộc loại đó. Hàm

class Philosopher:
    def __init_subclass__[cls, /, default_name, **kwargs]:
        super[].__init_subclass__[**kwargs]
        cls.default_name = default_name

class AustralianPhilosopher[Philosopher, default_name="Bruce"]:
    pass

1 trả về kiểu của một đối tượng [chính nó là một đối tượng]. Giống như danh tính của nó, loại đối tượng cũng không thể thay đổi. 1

Giá trị của một số đối tượng có thể thay đổi. Các đối tượng có giá trị có thể thay đổi được gọi là có thể thay đổi; . [The value of an immutable container object that contains a reference to a mutable object can change when the latter’s value is changed; however the container is still considered immutable, because the collection of objects it contains cannot be changed. So, immutability is not strictly the same as having an unchangeable value, it is more subtle. ] An object’s mutability is determined by its type; for instance, numbers, strings and tuples are immutable, while dictionaries and lists are mutable

Objects are never explicitly destroyed; however, when they become unreachable they may be garbage-collected. An implementation is allowed to postpone garbage collection or omit it altogether — it is a matter of implementation quality how garbage collection is implemented, as long as no objects are collected that are still reachable

CPython implementation detail. CPython currently uses a reference-counting scheme with [optional] delayed detection of cyclically linked garbage, which collects most objects as soon as they become unreachable, but is not guaranteed to collect garbage containing circular references. See the documentation of the

class Philosopher:
    def __init_subclass__[cls, /, default_name, **kwargs]:
        super[].__init_subclass__[**kwargs]
        cls.default_name = default_name

class AustralianPhilosopher[Philosopher, default_name="Bruce"]:
    pass

2 module for information on controlling the collection of cyclic garbage. Other implementations act differently and CPython may change. Do not depend on immediate finalization of objects when they become unreachable [so you should always close files explicitly]

Note that the use of the implementation’s tracing or debugging facilities may keep objects alive that would normally be collectable. Also note that catching an exception with a ‘

class Philosopher:
    def __init_subclass__[cls, /, default_name, **kwargs]:
        super[].__init_subclass__[**kwargs]
        cls.default_name = default_name

class AustralianPhilosopher[Philosopher, default_name="Bruce"]:
    pass

3…

class Philosopher:
    def __init_subclass__[cls, /, default_name, **kwargs]:
        super[].__init_subclass__[**kwargs]
        cls.default_name = default_name

class AustralianPhilosopher[Philosopher, default_name="Bruce"]:
    pass

4’ statement may keep objects alive

Some objects contain references to “external” resources such as open files or windows. It is understood that these resources are freed when the object is garbage-collected, but since garbage collection is not guaranteed to happen, such objects also provide an explicit way to release the external resource, usually a

class Philosopher:
    def __init_subclass__[cls, /, default_name, **kwargs]:
        super[].__init_subclass__[**kwargs]
        cls.default_name = default_name

class AustralianPhilosopher[Philosopher, default_name="Bruce"]:
    pass

5 method. Programs are strongly recommended to explicitly close such objects. The ‘

class Philosopher:
    def __init_subclass__[cls, /, default_name, **kwargs]:
        super[].__init_subclass__[**kwargs]
        cls.default_name = default_name

class AustralianPhilosopher[Philosopher, default_name="Bruce"]:
    pass

3…

class Philosopher:
    def __init_subclass__[cls, /, default_name, **kwargs]:
        super[].__init_subclass__[**kwargs]
        cls.default_name = default_name

class AustralianPhilosopher[Philosopher, default_name="Bruce"]:
    pass

7’ statement and the ‘

class Philosopher:
    def __init_subclass__[cls, /, default_name, **kwargs]:
        super[].__init_subclass__[**kwargs]
        cls.default_name = default_name

class AustralianPhilosopher[Philosopher, default_name="Bruce"]:
    pass

8’ statement provide convenient ways to do this

Some objects contain references to other objects; these are called containers. Examples of containers are tuples, lists and dictionaries. The references are part of a container’s value. In most cases, when we talk about the value of a container, we imply the values, not the identities of the contained objects; however, when we talk about the mutability of a container, only the identities of the immediately contained objects are implied. So, if an immutable container [like a tuple] contains a reference to a mutable object, its value changes if that mutable object is changed

Types affect almost all aspects of object behavior. Even the importance of object identity is affected in some sense. for immutable types, operations that compute new values may actually return a reference to any existing object with the same type and value, while for mutable objects this is not allowed. E. g. , after

class Philosopher:
    def __init_subclass__[cls, /, default_name, **kwargs]:
        super[].__init_subclass__[**kwargs]
        cls.default_name = default_name

class AustralianPhilosopher[Philosopher, default_name="Bruce"]:
    pass

import sys
from types import ModuleType

class VerboseModule[ModuleType]:
    def __repr__[self]:
        return f'Verbose {self.__name__}'

    def __setattr__[self, attr, value]:
        print[f'Setting {attr}...']
        super[].__setattr__[attr, value]

sys.modules[__name__].__class__ = VerboseModule

30 and

import sys
from types import ModuleType

class VerboseModule[ModuleType]:
    def __repr__[self]:
        return f'Verbose {self.__name__}'

    def __setattr__[self, attr, value]:
        print[f'Setting {attr}...']
        super[].__setattr__[attr, value]

sys.modules[__name__].__class__ = VerboseModule

31 may or may not refer to the same object with the value one, depending on the implementation, but after

import sys
from types import ModuleType

class VerboseModule[ModuleType]:
    def __repr__[self]:
        return f'Verbose {self.__name__}'

    def __setattr__[self, attr, value]:
        print[f'Setting {attr}...']
        super[].__setattr__[attr, value]

sys.modules[__name__].__class__ = VerboseModule

32,

import sys
from types import ModuleType

class VerboseModule[ModuleType]:
    def __repr__[self]:
        return f'Verbose {self.__name__}'

    def __setattr__[self, attr, value]:
        print[f'Setting {attr}...']
        super[].__setattr__[attr, value]

sys.modules[__name__].__class__ = VerboseModule

33 and

import sys
from types import ModuleType

class VerboseModule[ModuleType]:
    def __repr__[self]:
        return f'Verbose {self.__name__}'

    def __setattr__[self, attr, value]:
        print[f'Setting {attr}...']
        super[].__setattr__[attr, value]

sys.modules[__name__].__class__ = VerboseModule

34 are guaranteed to refer to two different, unique, newly created empty lists. [Note that

import sys
from types import ModuleType

class VerboseModule[ModuleType]:
    def __repr__[self]:
        return f'Verbose {self.__name__}'

    def __setattr__[self, attr, value]:
        print[f'Setting {attr}...']
        super[].__setattr__[attr, value]

sys.modules[__name__].__class__ = VerboseModule

35 assigns the same object to both

import sys
from types import ModuleType

class VerboseModule[ModuleType]:
    def __repr__[self]:
        return f'Verbose {self.__name__}'

    def __setattr__[self, attr, value]:
        print[f'Setting {attr}...']
        super[].__setattr__[attr, value]

sys.modules[__name__].__class__ = VerboseModule

33 and

import sys
from types import ModuleType

class VerboseModule[ModuleType]:
    def __repr__[self]:
        return f'Verbose {self.__name__}'

    def __setattr__[self, attr, value]:
        print[f'Setting {attr}...']
        super[].__setattr__[attr, value]

sys.modules[__name__].__class__ = VerboseModule

34. ]

3. 2. The standard type hierarchy¶

Below is a list of the types that are built into Python. Extension modules [written in C, Java, or other languages, depending on the implementation] can define additional types. Future versions of Python may add types to the type hierarchy [e. g. , rational numbers, efficiently stored arrays of integers, etc. ], although such additions will often be provided via the standard library instead

Some of the type descriptions below contain a paragraph listing ‘special attributes. ’ These are attributes that provide access to the implementation and are not intended for general use. Their definition may change in the future

Không có

This type has a single value. There is a single object with this value. This object is accessed through the built-in name

import sys
from types import ModuleType

class VerboseModule[ModuleType]:
    def __repr__[self]:
        return f'Verbose {self.__name__}'

    def __setattr__[self, attr, value]:
        print[f'Setting {attr}...']
        super[].__setattr__[attr, value]

sys.modules[__name__].__class__ = VerboseModule

38. It is used to signify the absence of a value in many situations, e. g. , it is returned from functions that don’t explicitly return anything. Its truth value is false

NotImplemented

This type has a single value. There is a single object with this value. This object is accessed through the built-in name

import sys
from types import ModuleType

class VerboseModule[ModuleType]:
    def __repr__[self]:
        return f'Verbose {self.__name__}'

    def __setattr__[self, attr, value]:
        print[f'Setting {attr}...']
        super[].__setattr__[attr, value]

sys.modules[__name__].__class__ = VerboseModule

39. Numeric methods and rich comparison methods should return this value if they do not implement the operation for the operands provided. [The interpreter will then try the reflected operation, or some other fallback, depending on the operator. ] It should not be evaluated in a boolean context

See Implementing the arithmetic operations for more details.

Changed in version 3. 9. Evaluating

import sys
from types import ModuleType

class VerboseModule[ModuleType]:
    def __repr__[self]:
        return f'Verbose {self.__name__}'

    def __setattr__[self, attr, value]:
        print[f'Setting {attr}...']
        super[].__setattr__[attr, value]

sys.modules[__name__].__class__ = VerboseModule

39 in a boolean context is deprecated. While it currently evaluates as true, it will emit a

import sys
from types import ModuleType

class VerboseModule[ModuleType]:
    def __repr__[self]:
        return f'Verbose {self.__name__}'

    def __setattr__[self, attr, value]:
        print[f'Setting {attr}...']
        super[].__setattr__[attr, value]

sys.modules[__name__].__class__ = VerboseModule

41. It will raise a

import sys
from types import ModuleType

class VerboseModule[ModuleType]:
    def __repr__[self]:
        return f'Verbose {self.__name__}'

    def __setattr__[self, attr, value]:
        print[f'Setting {attr}...']
        super[].__setattr__[attr, value]

sys.modules[__name__].__class__ = VerboseModule

42 in a future version of Python.

Ellipsis

This type has a single value. There is a single object with this value. This object is accessed through the literal

import sys
from types import ModuleType

class VerboseModule[ModuleType]:
    def __repr__[self]:
        return f'Verbose {self.__name__}'

    def __setattr__[self, attr, value]:
        print[f'Setting {attr}...']
        super[].__setattr__[attr, value]

sys.modules[__name__].__class__ = VerboseModule

43 or the built-in name

import sys
from types import ModuleType

class VerboseModule[ModuleType]:
    def __repr__[self]:
        return f'Verbose {self.__name__}'

    def __setattr__[self, attr, value]:
        print[f'Setting {attr}...']
        super[].__setattr__[attr, value]

sys.modules[__name__].__class__ = VerboseModule

44. Its truth value is true

import sys
from types import ModuleType

class VerboseModule[ModuleType]:
    def __repr__[self]:
        return f'Verbose {self.__name__}'

    def __setattr__[self, attr, value]:
        print[f'Setting {attr}...']
        super[].__setattr__[attr, value]

sys.modules[__name__].__class__ = VerboseModule

These are created by numeric literals and returned as results by arithmetic operators and arithmetic built-in functions. Numeric objects are immutable; once created their value never changes. Python numbers are of course strongly related to mathematical numbers, but subject to the limitations of numerical representation in computers

The string representations of the numeric classes, computed by

import sys
from types import ModuleType

class VerboseModule[ModuleType]:
    def __repr__[self]:
        return f'Verbose {self.__name__}'

    def __setattr__[self, attr, value]:
        print[f'Setting {attr}...']
        super[].__setattr__[attr, value]

sys.modules[__name__].__class__ = VerboseModule

46 and

import sys
from types import ModuleType

class VerboseModule[ModuleType]:
    def __repr__[self]:
        return f'Verbose {self.__name__}'

    def __setattr__[self, attr, value]:
        print[f'Setting {attr}...']
        super[].__setattr__[attr, value]

sys.modules[__name__].__class__ = VerboseModule

47, have the following properties

They are valid numeric literals which, when passed to their class constructor, produce an object having the value of the original numeric
The representation is in base 10, when possible
Leading zeros, possibly excepting a single zero before a decimal point, are not shown
Trailing zeros, possibly excepting a single zero after a decimal point, are not shown
A sign is shown only when the number is negative

Python distinguishes between integers, floating point numbers, and complex numbers

import sys
from types import ModuleType

class VerboseModule[ModuleType]:
    def __repr__[self]:
        return f'Verbose {self.__name__}'

    def __setattr__[self, attr, value]:
        print[f'Setting {attr}...']
        super[].__setattr__[attr, value]

sys.modules[__name__].__class__ = VerboseModule

These represent elements from the mathematical set of integers [positive and negative]

There are two types of integers

Integers [

import sys
from types import ModuleType

class VerboseModule[ModuleType]:
    def __repr__[self]:
        return f'Verbose {self.__name__}'

    def __setattr__[self, attr, value]:
        print[f'Setting {attr}...']
        super[].__setattr__[attr, value]

sys.modules[__name__].__class__ = VerboseModule

49]

These represent numbers in an unlimited range, subject to available [virtual] memory only. For the purpose of shift and mask operations, a binary representation is assumed, and negative numbers are represented in a variant of 2’s complement which gives the illusion of an infinite string of sign bits extending to the left

Booleans [

class Philosopher:
    def __init_subclass__[cls, /, default_name, **kwargs]:
        super[].__init_subclass__[**kwargs]
        cls.default_name = default_name

class AustralianPhilosopher[Philosopher, default_name="Bruce"]:
    pass

30]

Chúng đại diện cho các giá trị thật Sai và Đúng. The two objects representing the values

class Philosopher:
    def __init_subclass__[cls, /, default_name, **kwargs]:
        super[].__init_subclass__[**kwargs]
        cls.default_name = default_name

class AustralianPhilosopher[Philosopher, default_name="Bruce"]:
    pass

31 and

class Philosopher:
    def __init_subclass__[cls, /, default_name, **kwargs]:
        super[].__init_subclass__[**kwargs]
        cls.default_name = default_name

class AustralianPhilosopher[Philosopher, default_name="Bruce"]:
    pass

32 are the only Boolean objects. The Boolean type is a subtype of the integer type, and Boolean values behave like the values 0 and 1, respectively, in almost all contexts, the exception being that when converted to a string, the strings

class Philosopher:
    def __init_subclass__[cls, /, default_name, **kwargs]:
        super[].__init_subclass__[**kwargs]
        cls.default_name = default_name

class AustralianPhilosopher[Philosopher, default_name="Bruce"]:
    pass

33 or

class Philosopher:
    def __init_subclass__[cls, /, default_name, **kwargs]:
        super[].__init_subclass__[**kwargs]
        cls.default_name = default_name

class AustralianPhilosopher[Philosopher, default_name="Bruce"]:
    pass

34 are returned, respectively

The rules for integer representation are intended to give the most meaningful interpretation of shift and mask operations involving negative integers

class Philosopher:
    def __init_subclass__[cls, /, default_name, **kwargs]:
        super[].__init_subclass__[**kwargs]
        cls.default_name = default_name

class AustralianPhilosopher[Philosopher, default_name="Bruce"]:
    pass

35 [

class Philosopher:
    def __init_subclass__[cls, /, default_name, **kwargs]:
        super[].__init_subclass__[**kwargs]
        cls.default_name = default_name

class AustralianPhilosopher[Philosopher, default_name="Bruce"]:
    pass

36]

Chúng đại diện cho các số dấu phẩy động chính xác kép ở cấp độ máy. You are at the mercy of the underlying machine architecture [and C or Java implementation] for the accepted range and handling of overflow. Python không hỗ trợ các số dấu phẩy động có độ chính xác đơn;

class Philosopher:
    def __init_subclass__[cls, /, default_name, **kwargs]:
        super[].__init_subclass__[**kwargs]
        cls.default_name = default_name

class AustralianPhilosopher[Philosopher, default_name="Bruce"]:
    pass

37 [

class Philosopher:
    def __init_subclass__[cls, /, default_name, **kwargs]:
        super[].__init_subclass__[**kwargs]
        cls.default_name = default_name

class AustralianPhilosopher[Philosopher, default_name="Bruce"]:
    pass

38]

Chúng biểu thị các số phức dưới dạng một cặp số dấu phẩy động chính xác kép ở cấp độ máy. Các cảnh báo tương tự áp dụng cho các số dấu phẩy động. Phần thực và phần ảo của một số phức

class Philosopher:
    def __init_subclass__[cls, /, default_name, **kwargs]:
        super[].__init_subclass__[**kwargs]
        cls.default_name = default_name

class AustralianPhilosopher[Philosopher, default_name="Bruce"]:
    pass

39 có thể được truy xuất thông qua các thuộc tính chỉ đọc

class Philosopher:
    def __init_subclass__[cls, /, default_name, **kwargs]:
        super[].__init_subclass__[**kwargs]
        cls.default_name = default_name

class AustralianPhilosopher[Philosopher, default_name="Bruce"]:
    pass

30 và

class Philosopher:
    def __init_subclass__[cls, /, default_name, **kwargs]:
        super[].__init_subclass__[**kwargs]
        cls.default_name = default_name

class AustralianPhilosopher[Philosopher, default_name="Bruce"]:
    pass

trình tự

Chúng đại diện cho các tập hợp có thứ tự hữu hạn được lập chỉ mục bởi các số không âm. Hàm tích hợp

class Philosopher:
    def __init_subclass__[cls, /, default_name, **kwargs]:
        super[].__init_subclass__[**kwargs]
        cls.default_name = default_name

class AustralianPhilosopher[Philosopher, default_name="Bruce"]:
    pass

32 trả về số lượng phần tử của một chuỗi. Khi độ dài của một dãy là n, bộ chỉ số chứa các số 0, 1, …, n-1. Mục i của dãy a được chọn bởi

class Philosopher:
    def __init_subclass__[cls, /, default_name, **kwargs]:
        super[].__init_subclass__[**kwargs]
        cls.default_name = default_name

class AustralianPhilosopher[Philosopher, default_name="Bruce"]:
    pass

Trình tự cũng hỗ trợ cắt.

class Philosopher:
    def __init_subclass__[cls, /, default_name, **kwargs]:
        super[].__init_subclass__[**kwargs]
        cls.default_name = default_name

class AustralianPhilosopher[Philosopher, default_name="Bruce"]:
    pass

34 chọn tất cả các mục có chỉ số k sao cho i

class Philosopher:
    def __init_subclass__[cls, /, default_name, **kwargs]:
        super[].__init_subclass__[**kwargs]
        cls.default_name = default_name

class AustralianPhilosopher[Philosopher, default_name="Bruce"]:
    pass

35 k

class Philosopher:
    def __init_subclass__[cls, /, default_name, **kwargs]:
        super[].__init_subclass__[**kwargs]
        cls.default_name = default_name

class AustralianPhilosopher[Philosopher, default_name="Bruce"]:
    pass

36 j. Khi được sử dụng như một biểu thức, một lát cắt là một chuỗi cùng loại. Điều này ngụ ý rằng bộ chỉ mục được đánh số lại để nó bắt đầu từ 0

Một số trình tự cũng hỗ trợ “cắt lát mở rộng” với tham số “bước” thứ ba.

class Philosopher:
    def __init_subclass__[cls, /, default_name, **kwargs]:
        super[].__init_subclass__[**kwargs]
        cls.default_name = default_name

class AustralianPhilosopher[Philosopher, default_name="Bruce"]:
    pass

37 chọn tất cả các mục của a có chỉ số x trong đó

class Philosopher:
    def __init_subclass__[cls, /, default_name, **kwargs]:
        super[].__init_subclass__[**kwargs]
        cls.default_name = default_name

class AustralianPhilosopher[Philosopher, default_name="Bruce"]:
    pass

38, n

class Philosopher:
    def __init_subclass__[cls, /, default_name, **kwargs]:
        super[].__init_subclass__[**kwargs]
        cls.default_name = default_name

class AustralianPhilosopher[Philosopher, default_name="Bruce"]:
    pass

class Philosopher:
    def __init_subclass__[cls, /, default_name, **kwargs]:
        super[].__init_subclass__[**kwargs]
        cls.default_name = default_name

class AustralianPhilosopher[Philosopher, default_name="Bruce"]:
    pass

30 và i

class Philosopher:
    def __init_subclass__[cls, /, default_name, **kwargs]:
        super[].__init_subclass__[**kwargs]
        cls.default_name = default_name

class AustralianPhilosopher[Philosopher, default_name="Bruce"]:
    pass

35 x

class Philosopher:
    def __init_subclass__[cls, /, default_name, **kwargs]:
        super[].__init_subclass__[**kwargs]
        cls.default_name = default_name

class AustralianPhilosopher[Philosopher, default_name="Bruce"]:
    pass

36 j

Các trình tự được phân biệt theo khả năng biến đổi của chúng

Trình tự bất biến

Một đối tượng thuộc loại chuỗi bất biến không thể thay đổi sau khi được tạo. [Nếu đối tượng chứa các tham chiếu đến các đối tượng khác, các đối tượng khác này có thể thay đổi được và có thể bị thay đổi; tuy nhiên, tập hợp các đối tượng được tham chiếu trực tiếp bởi một đối tượng bất biến không thể thay đổi. ]

The following types are immutable sequences

Strings

A string is a sequence of values that represent Unicode code points. All the code points in the range

class Philosopher:
    def __init_subclass__[cls, /, default_name, **kwargs]:
        super[].__init_subclass__[**kwargs]
        cls.default_name = default_name

class AustralianPhilosopher[Philosopher, default_name="Bruce"]:
    pass

33 can be represented in a string. Python doesn’t have a char type; instead, every code point in the string is represented as a string object with length

class Philosopher:
    def __init_subclass__[cls, /, default_name, **kwargs]:
        super[].__init_subclass__[**kwargs]
        cls.default_name = default_name

class AustralianPhilosopher[Philosopher, default_name="Bruce"]:
    pass

34. The built-in function

class Philosopher:
    def __init_subclass__[cls, /, default_name, **kwargs]:
        super[].__init_subclass__[**kwargs]
        cls.default_name = default_name

class AustralianPhilosopher[Philosopher, default_name="Bruce"]:
    pass

35 converts a code point from its string form to an integer in the range

class Philosopher:
    def __init_subclass__[cls, /, default_name, **kwargs]:
        super[].__init_subclass__[**kwargs]
        cls.default_name = default_name

class AustralianPhilosopher[Philosopher, default_name="Bruce"]:
    pass

36;

class Philosopher:
    def __init_subclass__[cls, /, default_name, **kwargs]:
        super[].__init_subclass__[**kwargs]
        cls.default_name = default_name

class AustralianPhilosopher[Philosopher, default_name="Bruce"]:
    pass

37 converts an integer in the range

class Philosopher:
    def __init_subclass__[cls, /, default_name, **kwargs]:
        super[].__init_subclass__[**kwargs]
        cls.default_name = default_name

class AustralianPhilosopher[Philosopher, default_name="Bruce"]:
    pass

36 to the corresponding length

class Philosopher:
    def __init_subclass__[cls, /, default_name, **kwargs]:
        super[].__init_subclass__[**kwargs]
        cls.default_name = default_name

class AustralianPhilosopher[Philosopher, default_name="Bruce"]:
    pass

34 string object.

class Philosopher:
    def __init_subclass__[cls, /, default_name, **kwargs]:
        super[].__init_subclass__[**kwargs]
        cls.default_name = default_name

class AustralianPhilosopher[Philosopher, default_name="Bruce"]:
    pass

30 can be used to convert a

class Philosopher:
    def __init_subclass__[cls, /, default_name, **kwargs]:
        super[].__init_subclass__[**kwargs]
        cls.default_name = default_name

class AustralianPhilosopher[Philosopher, default_name="Bruce"]:
    pass

31 to

class Philosopher:
    def __init_subclass__[cls, /, default_name, **kwargs]:
        super[].__init_subclass__[**kwargs]
        cls.default_name = default_name

class AustralianPhilosopher[Philosopher, default_name="Bruce"]:
    pass

32 using the given text encoding, and

class Philosopher:
    def __init_subclass__[cls, /, default_name, **kwargs]:
        super[].__init_subclass__[**kwargs]
        cls.default_name = default_name

class AustralianPhilosopher[Philosopher, default_name="Bruce"]:
    pass

33 can be used to achieve the opposite.

Tuples

The items of a tuple are arbitrary Python objects. Tuples of two or more items are formed by comma-separated lists of expressions. A tuple of one item [a ‘singleton’] can be formed by affixing a comma to an expression [an expression by itself does not create a tuple, since parentheses must be usable for grouping of expressions]. An empty tuple can be formed by an empty pair of parentheses

Bytes

A bytes object is an immutable array. The items are 8-bit bytes, represented by integers in the range 0

3. 2. The standard type hierarchy¶

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