This document is for an old version of Python that is no longer supported. You should upgrade and read the Python 当前稳定版本的文档.

# 2. 內建函式

The Python interpreter has a number of functions built into it that are always available. They are listed here in alphabetical order.

|  | 內建函式 |  |
--- | --- | --- | --- | ---
`abs()` | `divmod()` | `input()` | `open()` | `staticmethod()`
`all()` | `enumerate()` | `int()` | `ord()` | `str()`
`any()` | `eval()` | `isinstance()` | `pow()` | `sum()`
`basestring()` | `execfile()` | `issubclass()` | `print()` | `super()`
`bin()` | `file()` | `iter()` | `property()` | `tuple()`
`bool()` | `filter()` | `len()` | `range()` | `type()`
`bytearray()` | `float()` | `list()` | `raw_input()` | `unichr()`
`callable()` | `format()` | `locals()` | `reduce()` | `unicode()`
`chr()` | `frozenset()` | `long()` | `reload()` | `vars()`
`classmethod()` | `getattr()` | `map()` | `repr()` | `xrange()`
`cmp()` | `globals()` | `max()` | `reversed()` | `zip()`
`compile()` | `hasattr()` | `memoryview()` | `round()` | `__import__()`
`complex()` | `hash()` | `min()` | `set()` |
`delattr()` | `help()` | `next()` | `setattr()` |
`dict()` | `hex()` | `object()` | `slice()` |
`dir()` | `id()` | `oct()` | `sorted()` |

In addition, there are other four built-in functions that are no longer considered essential: `apply()`, `buffer()`, `coerce()`, and `intern()`. They are documented in the Non-essential Built-in Functions section.

`abs`(x)

  Return the absolute value of a number. The argument may be a plain or long integer or a floating point number. If the argument is a complex number, its magnitude is returned.

`all`(iterable)

  如果 iterable 的所有元素为真（或迭代器为空），返回 `True` 。等价于:

      def all(iterable):
          for element in iterable:
              if not element:
                  return False
          return True

  2.5 版新加入.

`any`(iterable)

  如果 iterable 的任一元素为真则返回 `True`。 如果迭代器为空，返回 `False`。 等价于:

      def any(iterable):
          for element in iterable:
              if element:
                  return True
          return False

  2.5 版新加入.

`basestring`()

  This abstract type is the superclass for `str` and `unicode`. It cannot be called or instantiated, but it can be used to test whether an object is an instance of `str` or `unicode`. `isinstance(obj, basestring)` is equivalent to `isinstance(obj, (str, unicode))`.

  2.3 版新加入.

`bin`(x)

  Convert an integer number to a binary string. The result is a valid Python expression. If x is not a Python `int` object, it has to define an `__index__()` method that returns an integer.

  2.6 版新加入.

class `bool`([x])

  Return a Boolean value, i.e. one of `True` or `False`. x is converted using the standard truth testing procedure. If x is false or omitted, this returns `False`; otherwise it returns `True`. `bool` is also a class, which is a subclass of `int`. Class `bool` cannot be subclassed further. Its only instances are `False` and `True`.

  2.2.1 版新加入.

  2.3 版更變: If no argument is given, this function returns `False`.

class `bytearray`([source[, encoding[, errors]]])

  Return a new array of bytes. The `bytearray` class is a mutable sequence of integers in the range 0 <= x < 256. It has most of the usual methods of mutable sequences, described in Mutable Sequence Types, as well as most methods that the `str` type has, see String Methods.

  可选形参 source 可以用不同的方式来初始化数组：

  - If it is unicode, you must also give the encoding (and optionally, errors) parameters; `bytearray()` then converts the unicode to bytes using `unicode.encode()`.

  - 如果是一个 integer，会初始化大小为该数字的数组，并使用 null 字节填充。

  - 如果是一个符合 buffer 接口的对象，该对象的只读 buffer 会用来初始化字节数组。

  - 如果是一个 iterable 可迭代对象，它的元素的范围必须是 `0 <= x < 256` 的整数，它会被用作数组的初始内容。

  如果没有实参，则创建大小为 0 的数组。

  2.6 版新加入.

`callable`(object)

  Return `True` if the object argument appears callable, `False` if not. If this returns true, it is still possible that a call fails, but if it is false, calling object will never succeed. Note that classes are callable (calling a class returns a new instance); class instances are callable if they have a `__call__()` method.

`chr`(i)

  Return a string of one character whose ASCII code is the integer i. For example, `chr(97)` returns the string `'a'`. This is the inverse of `ord()`. The argument must be in the range [0..255], inclusive; `ValueError` will be raised if i is outside that range. See also `unichr()`.

`classmethod`(function)

  Return a class method for function.

  一个类方法把类自己作为第一个实参，就像一个实例方法把实例自己作为第一个实参。请用以下习惯来声明类方法:

      class C(object):
          @classmethod
          def f(cls, arg1, arg2, ...):
              ...

  `@classmethod` 这样的形式称为函数的 decorator – 详情参阅 Function definitions。

  类方法的调用可以在类上进行 (例如 `C.f()`) 也可以在实例上进行 (例如 `C().f()`)。 其所属类以外的类实例会被忽略。 如果类方法在其所属类的派生类上调用，则该派生类对象会被作为隐含的第一个参数被传入。

  类方法与 C++ 或 Java 中的静态方法不同。 如果你需要后者，请参阅 `staticmethod()`。

  想了解更多有关类方法的信息，请参阅 The standard type hierarchy 。

  2.2 版新加入.

  2.4 版更變: Function decorator syntax added.

`cmp`(x, y)

  Compare the two objects x and y and return an integer according to the outcome. The return value is negative if `x < y`, zero if `x == y` and strictly positive if `x > y`.

`compile`(source, filename, mode[, flags[, dont_inherit]])

  Compile the source into a code or AST object. Code objects can be executed by an `exec` statement or evaluated by a call to `eval()`. source can either be a Unicode string, a Latin-1 encoded string or an AST object. Refer to the `ast` module documentation for information on how to work with AST objects.

  filename 实参需要是代码读取的文件名；如果代码不需要从文件中读取，可以传入一些可辨识的值（经常会使用 `'<string>'`）。

  mode 实参指定了编译代码必须用的模式。如果 source 是语句序列，可以是 `'exec'`；如果是单一表达式，可以是 `'eval'`；如果是单个交互式语句，可以是 `'single'`。（在最后一种情况下，如果表达式执行结果不是 `None` 将会被打印出来。）

  The optional arguments flags and dont_inherit control which future statements (see PEP 236) affect the compilation of source. If neither is present (or both are zero) the code is compiled with those future statements that are in effect in the code that is calling `compile()`. If the flags argument is given and dont_inherit is not (or is zero) then the future statements specified by the flags argument are used in addition to those that would be used anyway. If dont_inherit is a non-zero integer then the flags argument is it – the future statements in effect around the call to compile are ignored.

  Future 语句使用比特位来指定，多个语句可以通过按位或来指定。具体特性的比特位可以通过 `__future__` 模块中的 `_Feature` 类的实例的 `compiler_flag` 属性来获得。

  This function raises `SyntaxError` if the compiled source is invalid, and `TypeError` if the source contains null bytes.

  如果您想分析 Python 代码的 AST 表示，请参阅 `ast.parse()`。

  備註

  在 `'single'` 或 `'eval'` 模式编译多行代码字符串时，输入必须以至少一个换行符结尾。 这使 `code` 模块更容易检测语句的完整性。

  警告

  在将足够大或者足够复杂的字符串编译成 AST 对象时，Python 解释器有可以因为 Python AST 编译器的栈深度限制而崩溃。

  2.3 版更變: The flags and dont_inherit arguments were added.

  2.6 版更變: Support for compiling AST objects.

  2.7 版更變: Allowed use of Windows and Mac newlines. Also input in `'exec'` mode does not have to end in a newline anymore.

class `complex`([real[, imag]])

  Return a complex number with the value real + imag*1j or convert a string or number to a complex number. If the first parameter is a string, it will be interpreted as a complex number and the function must be called without a second parameter. The second parameter can never be a string. Each argument may be any numeric type (including complex). If imag is omitted, it defaults to zero and the function serves as a numeric conversion function like `int()`, `long()` and `float()`. If both arguments are omitted, returns `0j`.

  備註

  当从字符串转换时，字符串在 `+` 或 `-` 的周围必须不能有空格。例如 `complex('1+2j')` 是合法的，但 `complex('1 + 2j')` 会触发 `ValueError` 异常。

  Numeric Types — int, float, long, complex 描述了复数类型。

`delattr`(object, name)

  `setattr()` 相关的函数。实参是一个对象和一个字符串。该字符串必须是对象的某个属性。如果对象允许，该函数将删除指定的属性。例如 `delattr(x, 'foobar')` 等价于 `del x.foobar` 。

class `dict`(**kwarg)
class `dict`(mapping, **kwarg)
class `dict`(iterable, **kwarg)

  创建一个新的字典。`dict` 对象是一个字典类。参见 `dict` 和 Mapping Types — dict 了解这个类。

  其他容器类型，请参见内置的 `list`、`set` 和 `tuple` 类，以及 `collections` 模块。

`dir`([object])

  如果没有实参，则返回当前本地作用域中的名称列表。如果有实参，它会尝试返回该对象的有效属性列表。

  如果对象有一个名为 `__dir__()` 的方法，那么该方法将被调用，并且必须返回一个属性列表。这允许实现自定义 `__getattr__()` 或 `__getattribute__()` 函数的对象能够自定义 `dir()` 来报告它们的属性。

  如果对象不提供 `__dir__()`，这个函数会尝试从对象已定义的 `__dict__` 属性和类型对象收集信息。结果列表并不总是完整的，如果对象有自定义 `__getattr__()`，那结果可能不准确。

  默认的 `dir()` 机制对不同类型的对象行为不同，它会试图返回最相关而不是最全的信息：

  - 如果对象是模块对象，则列表包含模块的属性名称。

  - 如果对象是类型或类对象，则列表包含它们的属性名称，并且递归查找所有基类的属性。

  - 否则，列表包含对象的属性名称，它的类属性名称，并且递归查找它的类的所有基类的属性。

  返回的列表按字母表排序。例如：

      >>> import struct
      >>> dir()   # show the names in the module namespace
      ['__builtins__', '__doc__', '__name__', 'struct']
      >>> dir(struct)   # show the names in the struct module
      ['Struct', '__builtins__', '__doc__', '__file__', '__name__',
       '__package__', '_clearcache', 'calcsize', 'error', 'pack', 'pack_into',
       'unpack', 'unpack_from']
      >>> class Shape(object):
              def __dir__(self):
                  return ['area', 'perimeter', 'location']
      >>> s = Shape()
      >>> dir(s)
      ['area', 'perimeter', 'location']

  備註

  因为 `dir()` 主要是为了便于在交互式时使用，所以它会试图返回人们感兴趣的名字集合，而不是试图保证结果的严格性或一致性，它具体的行为也可能在不同版本之间改变。例如，当实参是一个类时，metaclass 的属性不包含在结果列表中。

`divmod`(a, b)

  Take two (non complex) numbers as arguments and return a pair of numbers consisting of their quotient and remainder when using long division. With mixed operand types, the rules for binary arithmetic operators apply. For plain and long integers, the result is the same as `(a // b, a % b)`. For floating point numbers the result is `(q, a % b)`, where q is usually `math.floor(a / b)` but may be 1 less than that. In any case `q * b + a % b` is very close to a, if `a % b` is non-zero it has the same sign as b, and `0 <= abs(a % b) < abs(b)`.

  2.3 版更變: Using `divmod()` with complex numbers is deprecated.

`enumerate`(sequence, start=0)

  Return an enumerate object. sequence must be a sequence, an iterator, or some other object which supports iteration. The `next()` method of the iterator returned by `enumerate()` returns a tuple containing a count (from start which defaults to 0) and the values obtained from iterating over sequence:

      >>> seasons = ['Spring', 'Summer', 'Fall', 'Winter']
      >>> list(enumerate(seasons))
      [(0, 'Spring'), (1, 'Summer'), (2, 'Fall'), (3, 'Winter')]
      >>> list(enumerate(seasons, start=1))
      [(1, 'Spring'), (2, 'Summer'), (3, 'Fall'), (4, 'Winter')]

  等价于:

      def enumerate(sequence, start=0):
          n = start
          for elem in sequence:
              yield n, elem
              n += 1

  2.3 版新加入.

  2.6 版更變: The start parameter was added.

`eval`(expression[, globals[, locals]])

  The arguments are a Unicode or Latin-1 encoded string and optional globals and locals. If provided, globals must be a dictionary. If provided, locals can be any mapping object.

  2.4 版更變: formerly locals was required to be a dictionary.

  The expression argument is parsed and evaluated as a Python expression (technically speaking, a condition list) using the globals and locals dictionaries as global and local namespace. If the globals dictionary is present and lacks 『__builtins__』, the current globals are copied into globals before expression is parsed. This means that expression normally has full access to the standard `__builtin__` module and restricted environments are propagated. If the locals dictionary is omitted it defaults to the globals dictionary. If both dictionaries are omitted, the expression is executed in the environment where `eval()` is called. The return value is the result of the evaluated expression. Syntax errors are reported as exceptions. Example:

      >>> x = 1
      >>> print eval('x+1')
      2

  这个函数也可以用来执行任何代码对象（如 `compile()` 创建的）。这种情况下，参数是代码对象，而不是字符串。如果编译该对象时的 mode 实参是 `'exec'` 那么 `eval()` 返回值为 `None` 。

  Hints: dynamic execution of statements is supported by the `exec` statement. Execution of statements from a file is supported by the `execfile()` function. The `globals()` and `locals()` functions returns the current global and local dictionary, respectively, which may be useful to pass around for use by `eval()` or `execfile()`.

  另外可以参阅 `ast.literal_eval()`，该函数可以安全执行仅包含文字的表达式字符串。

`execfile`(filename[, globals[, locals]])

  This function is similar to the `exec` statement, but parses a file instead of a string. It is different from the `import` statement in that it does not use the module administration — it reads the file unconditionally and does not create a new module. 1

  The arguments are a file name and two optional dictionaries. The file is parsed and evaluated as a sequence of Python statements (similarly to a module) using the globals and locals dictionaries as global and local namespace. If provided, locals can be any mapping object. Remember that at module level, globals and locals are the same dictionary. If two separate objects are passed as globals and locals, the code will be executed as if it were embedded in a class definition.

  2.4 版更變: formerly locals was required to be a dictionary.

  If the locals dictionary is omitted it defaults to the globals dictionary. If both dictionaries are omitted, the expression is executed in the environment where `execfile()` is called. The return value is `None`.

  備註

  The default locals act as described for function `locals()` below: modifications to the default locals dictionary should not be attempted. Pass an explicit locals dictionary if you need to see effects of the code on locals after function `execfile()` returns. `execfile()` cannot be used reliably to modify a function’s locals.

`file`(name[, mode[, buffering]])

  Constructor function for the `file` type, described further in section File Objects. The constructor’s arguments are the same as those of the `open()` built-in function described below.

  When opening a file, it’s preferable to use `open()` instead of invoking this constructor directly. `file` is more suited to type testing (for example, writing `isinstance(f, file)`).

  2.2 版新加入.

`filter`(function, iterable)

  Construct a list from those elements of iterable for which function returns true. iterable may be either a sequence, a container which supports iteration, or an iterator. If iterable is a string or a tuple, the result also has that type; otherwise it is always a list. If function is `None`, the identity function is assumed, that is, all elements of iterable that are false are removed.

  Note that `filter(function, iterable)` is equivalent to `[item for item in iterable if function(item)]` if function is not `None` and `[item for item in iterable if item]` if function is `None`.

  See `itertools.ifilter()` and `itertools.ifilterfalse()` for iterator versions of this function, including a variation that filters for elements where the function returns false.

class `float`([x])

  返回从数字或字符串 x 生成的浮点数。

  If the argument is a string, it must contain a possibly signed decimal or floating point number, possibly embedded in whitespace. The argument may also be [+|-]nan or [+|-]inf. Otherwise, the argument may be a plain or long integer or a floating point number, and a floating point number with the same value (within Python’s floating point precision) is returned. If no argument is given, returns `0.0`.

  備註

  When passing in a string, values for NaN and Infinity may be returned, depending on the underlying C library. Float accepts the strings nan, inf and -inf for NaN and positive or negative infinity. The case and a leading + are ignored as well as a leading - is ignored for NaN. Float always represents NaN and infinity as nan, inf or -inf.

  Numeric Types — int, float, long, complex 描述了浮点类型。

`format`(value[, format_spec])

  将 value 转换为 format_spec 控制的“格式化”表示。format_spec 的解释取决于 value 实参的类型，但是大多数内置类型使用标准格式化语法：Format Specification Mini-Language。

  備註

  `format(value, format_spec)` merely calls `value.__format__(format_spec)`.

  2.6 版新加入.

class `frozenset`([iterable])

  返回一个新的 `frozenset` 对象，它包含可选参数 iterable 中的元素。 `frozenset` 是一个内置的类。有关此类的文档，请参阅 `frozenset` 和 Set Types — set, frozenset。

  请参阅内建的 `set`、`list`、`tuple` 和 `dict` 类，以及 `collections` 模块来了解其它的容器。

  2.4 版新加入.

`getattr`(object, name[, default])

  返回对象命名属性的值。name 必须是字符串。如果该字符串是对象的属性之一，则返回该属性的值。例如， `getattr(x, 'foobar')` 等同于 `x.foobar`。如果指定的属性不存在，且提供了 default 值，则返回它，否则触发 `AttributeError`。

`globals`()

  返回表示当前全局符号表的字典。这总是当前模块的字典（在函数或方法中，不是调用它的模块，而是定义它的模块）。

`hasattr`(object, name)

  The arguments are an object and a string. The result is `True` if the string is the name of one of the object’s attributes, `False` if not. (This is implemented by calling `getattr(object, name)` and seeing whether it raises an exception or not.)

`hash`(object)

  Return the hash value of the object (if it has one). Hash values are integers. They are used to quickly compare dictionary keys during a dictionary lookup. Numeric values that compare equal have the same hash value (even if they are of different types, as is the case for 1 and 1.0).

`help`([object])

  启动内置的帮助系统（此函数主要在交互式中使用）。如果没有实参，解释器控制台里会启动交互式帮助系统。如果实参是一个字符串，则在模块、函数、类、方法、关键字或文档主题中搜索该字符串，并在控制台上打印帮助信息。如果实参是其他任意对象，则会生成该对象的帮助页。

  该函数通过 `site` 模块加入到内置命名空间。

  2.2 版新加入.

`hex`(x)

  Convert an integer number (of any size) to a lowercase hexadecimal string prefixed with 「0x」, for example:

      >>> hex(255)
      '0xff'
      >>> hex(-42)
      '-0x2a'
      >>> hex(1L)
      '0x1L'

  If x is not a Python `int` or `long` object, it has to define a __hex__() method that returns a string.

  另请参阅 `int()` 将十六进制字符串转换为以 16 为基数的整数。

  備註

  如果要获取浮点数的十六进制字符串形式，请使用 `float.hex()` 方法。

  2.4 版更變: Formerly only returned an unsigned literal.

`id`(object)

  Return the 「identity」 of an object. This is an integer (or long integer) which is guaranteed to be unique and constant for this object during its lifetime. Two objects with non-overlapping lifetimes may have the same `id()` value.

  CPython implementation detail: This is the address of the object in memory.

`input`([prompt])

  Equivalent to `eval(raw_input(prompt))`.

  This function does not catch user errors. If the input is not syntactically valid, a `SyntaxError` will be raised. Other exceptions may be raised if there is an error during evaluation.

  如果加载了 `readline` 模块，`input()` 将使用它来提供复杂的行编辑和历史记录功能。

  Consider using the `raw_input()` function for general input from users.

class `int`(x=0)
class `int`(x, base=10)

  Return an integer object constructed from a number or string x, or return `0` if no arguments are given. If x is a number, it can be a plain integer, a long integer, or a floating point number. If x is floating point, the conversion truncates towards zero. If the argument is outside the integer range, the function returns a long object instead.

  If x is not a number or if base is given, then x must be a string or Unicode object representing an integer literal in radix base. Optionally, the literal can be preceded by `+` or `-` (with no space in between) and surrounded by whitespace. A base-n literal consists of the digits 0 to n-1, with `a` to `z` (or `A` to `Z`) having values 10 to 35. The default base is 10. The allowed values are 0 and 2–36. Base-2, -8, and -16 literals can be optionally prefixed with `0b`/`0B`, `0o`/`0O`/`0`, or `0x`/`0X`, as with integer literals in code. Base 0 means to interpret the string exactly as an integer literal, so that the actual base is 2, 8, 10, or 16.

  整数类型定义请参阅 Numeric Types — int, float, long, complex 。

`isinstance`(object, classinfo)

  Return true if the object argument is an instance of the classinfo argument, or of a (direct, indirect or virtual) subclass thereof. Also return true if classinfo is a type object (new-style class) and object is an object of that type or of a (direct, indirect or virtual) subclass thereof. If object is not a class instance or an object of the given type, the function always returns false. If classinfo is a tuple of class or type objects (or recursively, other such tuples), return true if object is an instance of any of the classes or types. If classinfo is not a class, type, or tuple of classes, types, and such tuples, a `TypeError` exception is raised.

  2.2 版更變: Support for a tuple of type information was added.

`issubclass`(class, classinfo)

  Return true if class is a subclass (direct, indirect or virtual) of classinfo. A class is considered a subclass of itself. classinfo may be a tuple of class objects, in which case every entry in classinfo will be checked. In any other case, a `TypeError` exception is raised.

  2.3 版更變: Support for a tuple of type information was added.

`iter`(o[, sentinel])

  Return an iterator object. The first argument is interpreted very differently depending on the presence of the second argument. Without a second argument, o must be a collection object which supports the iteration protocol (the `__iter__()` method), or it must support the sequence protocol (the `__getitem__()` method with integer arguments starting at `0`). If it does not support either of those protocols, `TypeError` is raised. If the second argument, sentinel, is given, then o must be a callable object. The iterator created in this case will call o with no arguments for each call to its `next()` method; if the value returned is equal to sentinel, `StopIteration` will be raised, otherwise the value will be returned.

  One useful application of the second form of `iter()` is to read lines of a file until a certain line is reached. The following example reads a file until the `readline()` method returns an empty string:

      with open('mydata.txt') as fp:
          for line in iter(fp.readline, ''):
              process_line(line)

  2.2 版新加入.

`len`(s)

  返回对象的长度（元素个数）。实参可以是序列（如 string、bytes、tuple、list 或 range 等）或集合（如 dictionary、set 或 frozen set 等）。

class `list`([iterable])

  Return a list whose items are the same and in the same order as iterable’s items. iterable may be either a sequence, a container that supports iteration, or an iterator object. If iterable is already a list, a copy is made and returned, similar to `iterable[:]`. For instance, `list('abc')` returns `['a', 'b', 'c']` and `list( (1, 2, 3) )` returns `[1, 2, 3]`. If no argument is given, returns a new empty list, `[]`.

  `list` is a mutable sequence type, as documented in Sequence Types — str, unicode, list, tuple, bytearray, buffer, xrange. For other containers see the built in `dict`, `set`, and `tuple` classes, and the `collections` module.

`locals`()

  Update and return a dictionary representing the current local symbol table. Free variables are returned by `locals()` when it is called in function blocks, but not in class blocks.

  備註

  不要更改此字典的内容；更改不会影响解释器使用的局部变量或自由变量的值。

class `long`(x=0)
class `long`(x, base=10)

  Return a long integer object constructed from a string or number x. If the argument is a string, it must contain a possibly signed number of arbitrary size, possibly embedded in whitespace. The base argument is interpreted in the same way as for `int()`, and may only be given when x is a string. Otherwise, the argument may be a plain or long integer or a floating point number, and a long integer with the same value is returned. Conversion of floating point numbers to integers truncates (towards zero). If no arguments are given, returns `0L`.

  The long type is described in Numeric Types — int, float, long, complex.

`map`(function, iterable, ...)

  Apply function to every item of iterable and return a list of the results. If additional iterable arguments are passed, function must take that many arguments and is applied to the items from all iterables in parallel. If one iterable is shorter than another it is assumed to be extended with `None` items. If function is `None`, the identity function is assumed; if there are multiple arguments, `map()` returns a list consisting of tuples containing the corresponding items from all iterables (a kind of transpose operation). The iterable arguments may be a sequence or any iterable object; the result is always a list.

`max`(iterable[, key])
`max`(arg1, arg2, *args[, key])

  返回可迭代对象中最大的元素，或者返回两个及以上实参中最大的。

  If one positional argument is provided, iterable must be a non-empty iterable (such as a non-empty string, tuple or list). The largest item in the iterable is returned. If two or more positional arguments are provided, the largest of the positional arguments is returned.

  The optional key argument specifies a one-argument ordering function like that used for `list.sort()`. The key argument, if supplied, must be in keyword form (for example, `max(a,b,c,key=func)`).

  2.5 版更變: Added support for the optional key argument.

`memoryview`(obj)

  返回由给定实参创建的“内存视图”对象。有关详细信息，请参阅 memoryview type。

`min`(iterable[, key])
`min`(arg1, arg2, *args[, key])

  返回可迭代对象中最小的元素，或者返回两个及以上实参中最小的。

  If one positional argument is provided, iterable must be a non-empty iterable (such as a non-empty string, tuple or list). The smallest item in the iterable is returned. If two or more positional arguments are provided, the smallest of the positional arguments is returned.

  The optional key argument specifies a one-argument ordering function like that used for `list.sort()`. The key argument, if supplied, must be in keyword form (for example, `min(a,b,c,key=func)`).

  2.5 版更變: Added support for the optional key argument.

`next`(iterator[, default])

  Retrieve the next item from the iterator by calling its `next()` method. If default is given, it is returned if the iterator is exhausted, otherwise `StopIteration` is raised.

  2.6 版新加入.

class `object`

  Return a new featureless object. `object` is a base for all new style classes. It has the methods that are common to all instances of new style classes.

  2.2 版新加入.

  2.3 版更變: This function does not accept any arguments. Formerly, it accepted arguments but ignored them.

`oct`(x)

  Convert an integer number (of any size) to an octal string. The result is a valid Python expression.

  2.4 版更變: Formerly only returned an unsigned literal.

`open`(name[, mode[, buffering]])

  Open a file, returning an object of the `file` type described in section File Objects. If the file cannot be opened, `IOError` is raised. When opening a file, it’s preferable to use `open()` instead of invoking the `file` constructor directly.

  The first two arguments are the same as for `stdio`’s `fopen()`: name is the file name to be opened, and mode is a string indicating how the file is to be opened.

  The most commonly-used values of mode are `'r'` for reading, `'w'` for writing (truncating the file if it already exists), and `'a'` for appending (which on some Unix systems means that all writes append to the end of the file regardless of the current seek position). If mode is omitted, it defaults to `'r'`. The default is to use text mode, which may convert `'\n'` characters to a platform-specific representation on writing and back on reading. Thus, when opening a binary file, you should append `'b'` to the mode value to open the file in binary mode, which will improve portability. (Appending `'b'` is useful even on systems that don’t treat binary and text files differently, where it serves as documentation.) See below for more possible values of mode.

  The optional buffering argument specifies the file’s desired buffer size: 0 means unbuffered, 1 means line buffered, any other positive value means use a buffer of (approximately) that size (in bytes). A negative buffering means to use the system default, which is usually line buffered for tty devices and fully buffered for other files. If omitted, the system default is used. 2

  Modes `'r+'`, `'w+'` and `'a+'` open the file for updating (reading and writing); note that `'w+'` truncates the file. Append `'b'` to the mode to open the file in binary mode, on systems that differentiate between binary and text files; on systems that don’t have this distinction, adding the `'b'` has no effect.

  In addition to the standard `fopen()` values mode may be `'U'` or `'rU'`. Python is usually built with universal newlines support; supplying `'U'` opens the file as a text file, but lines may be terminated by any of the following: the Unix end-of-line convention `'\n'`, the Macintosh convention `'\r'`, or the Windows convention `'\r\n'`. All of these external representations are seen as `'\n'` by the Python program. If Python is built without universal newlines support a mode with `'U'` is the same as normal text mode. Note that file objects so opened also have an attribute called `newlines` which has a value of `None` (if no newlines have yet been seen), `'\n'`, `'\r'`, `'\r\n'`, or a tuple containing all the newline types seen.

  Python enforces that the mode, after stripping `'U'`, begins with `'r'`, `'w'` or `'a'`.

  Python provides many file handling modules including `fileinput`, `os`, `os.path`, `tempfile`, and `shutil`.

  2.5 版更變: Restriction on first letter of mode string introduced.

`ord`(c)

  Given a string of length one, return an integer representing the Unicode code point of the character when the argument is a unicode object, or the value of the byte when the argument is an 8-bit string. For example, `ord('a')` returns the integer `97`, `ord(u'\u2020')` returns `8224`. This is the inverse of `chr()` for 8-bit strings and of `unichr()` for unicode objects. If a unicode argument is given and Python was built with UCS2 Unicode, then the character’s code point must be in the range [0..65535] inclusive; otherwise the string length is two, and a `TypeError` will be raised.

`pow`(x, y[, z])

  返回 x 的 y 次幂；如果 z 存在，则对 z 取余（比直接 `pow(x, y) % z` 计算更高效）。两个参数形式的 `pow(x, y)` 等价于幂运算符： `x**y`。

  The arguments must have numeric types. With mixed operand types, the coercion rules for binary arithmetic operators apply. For int and long int operands, the result has the same type as the operands (after coercion) unless the second argument is negative; in that case, all arguments are converted to float and a float result is delivered. For example, `10**2` returns `100`, but `10**-2` returns `0.01`. (This last feature was added in Python 2.2. In Python 2.1 and before, if both arguments were of integer types and the second argument was negative, an exception was raised.) If the second argument is negative, the third argument must be omitted. If z is present, x and y must be of integer types, and y must be non-negative. (This restriction was added in Python 2.2. In Python 2.1 and before, floating 3-argument `pow()` returned platform-dependent results depending on floating-point rounding accidents.)

`print`(*objects, sep=' ', end='\n', file=sys.stdout)

  Print objects to the stream file, separated by sep and followed by end. sep, end and file, if present, must be given as keyword arguments.

  All non-keyword arguments are converted to strings like `str()` does and written to the stream, separated by sep and followed by end. Both sep and end must be strings; they can also be `None`, which means to use the default values. If no objects are given, `print()` will just write end.

  The file argument must be an object with a `write(string)` method; if it is not present or `None`, `sys.stdout` will be used. Output buffering is determined by file. Use `file.flush()` to ensure, for instance, immediate appearance on a screen.

  備註

  This function is not normally available as a built-in since the name `print` is recognized as the `print` statement. To disable the statement and use the `print()` function, use this future statement at the top of your module:

      from __future__ import print_function

  2.6 版新加入.

class `property`([fget[, fset[, fdel[, doc]]]])

  Return a property attribute for new-style classes (classes that derive from `object`).

  fget is a function for getting an attribute value. fset is a function for setting an attribute value. fdel is a function for deleting an attribute value. And doc creates a docstring for the attribute.

  A typical use is to define a managed attribute `x`:

      class C(object):
          def __init__(self):
              self._x = None

          def getx(self):
              return self._x

          def setx(self, value):
              self._x = value

          def delx(self):
              del self._x

          x = property(getx, setx, delx, "I'm the 'x' property.")

  If c is an instance of C, `c.x` will invoke the getter, `c.x = value` will invoke the setter and `del c.x` the deleter.

  If given, doc will be the docstring of the property attribute. Otherwise, the property will copy fget’s docstring (if it exists). This makes it possible to create read-only properties easily using `property()` as a decorator:

      class Parrot(object):
          def __init__(self):
              self._voltage = 100000

          @property
          def voltage(self):
              """Get the current voltage."""
              return self._voltage

  The `@property` decorator turns the `voltage()` method into a 「getter」 for a read-only attribute with the same name, and it sets the docstring for voltage to 「Get the current voltage.」

  A property object has `getter`, `setter`, and `deleter` methods usable as decorators that create a copy of the property with the corresponding accessor function set to the decorated function. This is best explained with an example:

      class C(object):
          def __init__(self):
              self._x = None

          @property
          def x(self):
              """I'm the 'x' property."""
              return self._x

          @x.setter
          def x(self, value):
              self._x = value

          @x.deleter
          def x(self):
              del self._x

  This code is exactly equivalent to the first example. Be sure to give the additional functions the same name as the original property (`x` in this case.)

  The returned property object also has the attributes `fget`, `fset`, and `fdel` corresponding to the constructor arguments.

  2.2 版新加入.

  2.5 版更變: Use fget’s docstring if no doc given.

  2.6 版更變: The `getter`, `setter`, and `deleter` attributes were added.

`range`(stop)
`range`(start, stop[, step])

  This is a versatile function to create lists containing arithmetic progressions. It is most often used in `for` loops. The arguments must be plain integers. If the step argument is omitted, it defaults to `1`. If the start argument is omitted, it defaults to `0`. The full form returns a list of plain integers `[start, start + step, start + 2 * step, ...]`. If step is positive, the last element is the largest `start + i * step` less than stop; if step is negative, the last element is the smallest `start + i * step` greater than stop. step must not be zero (or else `ValueError` is raised). Example:

      >>> range(10)
      [0, 1, 2, 3, 4, 5, 6, 7, 8, 9]
      >>> range(1, 11)
      [1, 2, 3, 4, 5, 6, 7, 8, 9, 10]
      >>> range(0, 30, 5)
      [0, 5, 10, 15, 20, 25]
      >>> range(0, 10, 3)
      [0, 3, 6, 9]
      >>> range(0, -10, -1)
      [0, -1, -2, -3, -4, -5, -6, -7, -8, -9]
      >>> range(0)
      []
      >>> range(1, 0)
      []

`raw_input`([prompt])

  If the prompt argument is present, it is written to standard output without a trailing newline. The function then reads a line from input, converts it to a string (stripping a trailing newline), and returns that. When EOF is read, `EOFError` is raised. Example:

      >>> s = raw_input('--> ')
      --> Monty Python's Flying Circus
      >>> s
      "Monty Python's Flying Circus"

  If the `readline` module was loaded, then `raw_input()` will use it to provide elaborate line editing and history features.

`reduce`(function, iterable[, initializer])

  Apply function of two arguments cumulatively to the items of iterable, from left to right, so as to reduce the iterable to a single value. For example, `reduce(lambda x, y: x+y, [1, 2, 3, 4, 5])` calculates `((((1+2)+3)+4)+5)`. The left argument, x, is the accumulated value and the right argument, y, is the update value from the iterable. If the optional initializer is present, it is placed before the items of the iterable in the calculation, and serves as a default when the iterable is empty. If initializer is not given and iterable contains only one item, the first item is returned. Roughly equivalent to:

      def reduce(function, iterable, initializer=None):
          it = iter(iterable)
          if initializer is None:
              try:
                  initializer = next(it)
              except StopIteration:
                  raise TypeError('reduce() of empty sequence with no initial value')
          accum_value = initializer
          for x in it:
              accum_value = function(accum_value, x)
          return accum_value

`reload`(module)

  Reload a previously imported module. The argument must be a module object, so it must have been successfully imported before. This is useful if you have edited the module source file using an external editor and want to try out the new version without leaving the Python interpreter. The return value is the module object (the same as the module argument).

  When `reload(module)` is executed:

  - Python modules』 code is recompiled and the module-level code reexecuted, defining a new set of objects which are bound to names in the module’s dictionary. The `init` function of extension modules is not called a second time.

  - As with all other objects in Python the old objects are only reclaimed after their reference counts drop to zero.

  - The names in the module namespace are updated to point to any new or changed objects.

  - Other references to the old objects (such as names external to the module) are not rebound to refer to the new objects and must be updated in each namespace where they occur if that is desired.

  There are a number of other caveats:

  When a module is reloaded, its dictionary (containing the module’s global variables) is retained. Redefinitions of names will override the old definitions, so this is generally not a problem. If the new version of a module does not define a name that was defined by the old version, the old definition remains. This feature can be used to the module’s advantage if it maintains a global table or cache of objects — with a `try` statement it can test for the table’s presence and skip its initialization if desired:

      try:
          cache
      except NameError:
          cache = {}

  It is generally not very useful to reload built-in or dynamically loaded modules. Reloading `sys`, `__main__`, `builtins` and other key modules is not recommended. In many cases extension modules are not designed to be initialized more than once, and may fail in arbitrary ways when reloaded.

  If a module imports objects from another module using `from` … `import` …, calling `reload()` for the other module does not redefine the objects imported from it — one way around this is to re-execute the `from` statement, another is to use `import` and qualified names (module.*name*) instead.

  If a module instantiates instances of a class, reloading the module that defines the class does not affect the method definitions of the instances — they continue to use the old class definition. The same is true for derived classes.

`repr`(object)

  Return a string containing a printable representation of an object. This is the same value yielded by conversions (reverse quotes). It is sometimes useful to be able to access this operation as an ordinary function. For many types, this function makes an attempt to return a string that would yield an object with the same value when passed to `eval()`, otherwise the representation is a string enclosed in angle brackets that contains the name of the type of the object together with additional information often including the name and address of the object. A class can control what this function returns for its instances by defining a `__repr__()` method.

`reversed`(seq)

  Return a reverse iterator. seq must be an object which has a `__reversed__()` method or supports the sequence protocol (the `__len__()` method and the `__getitem__()` method with integer arguments starting at `0`).

  2.4 版新加入.

  2.6 版更變: Added the possibility to write a custom `__reversed__()` method.

`round`(number[, ndigits])

  Return the floating point value number rounded to ndigits digits after the decimal point. If ndigits is omitted, it defaults to zero. The result is a floating point number. Values are rounded to the closest multiple of 10 to the power minus ndigits; if two multiples are equally close, rounding is done away from 0 (so, for example, `round(0.5)` is `1.0` and `round(-0.5)` is `-1.0`).

  備註

  The behavior of `round()` for floats can be surprising: for example, `round(2.675, 2)` gives `2.67` instead of the expected `2.68`. This is not a bug: it’s a result of the fact that most decimal fractions can’t be represented exactly as a float. See 浮點數運算：問題與限制 for more information.

class `set`([iterable])

  Return a new `set` object, optionally with elements taken from iterable. `set` is a built-in class. See `set` and Set Types — set, frozenset for documentation about this class.

  For other containers see the built-in `frozenset`, `list`, `tuple`, and `dict` classes, as well as the `collections` module.

  2.4 版新加入.

`setattr`(object, name, value)

  This is the counterpart of `getattr()`. The arguments are an object, a string and an arbitrary value. The string may name an existing attribute or a new attribute. The function assigns the value to the attribute, provided the object allows it. For example, `setattr(x, 'foobar', 123)` is equivalent to `x.foobar = 123`.

class `slice`(stop)
class `slice`(start, stop[, step])

  Return a slice object representing the set of indices specified by `range(start, stop, step)`. The start and step arguments default to `None`. Slice objects have read-only data attributes `start`, `stop` and `step` which merely return the argument values (or their default). They have no other explicit functionality; however they are used by Numerical Python and other third party extensions. Slice objects are also generated when extended indexing syntax is used. For example: `a[start:stop:step]` or `a[start:stop, i]`. See `itertools.islice()` for an alternate version that returns an iterator.

`sorted`(iterable[, cmp[, key[, reverse]]])

  Return a new sorted list from the items in iterable.

  The optional arguments cmp, key, and reverse have the same meaning as those for the `list.sort()` method (described in section Mutable Sequence Types).

  cmp specifies a custom comparison function of two arguments (iterable elements) which should return a negative, zero or positive number depending on whether the first argument is considered smaller than, equal to, or larger than the second argument: `cmp=lambda x,y: cmp(x.lower(), y.lower())`. The default value is `None`.

  key specifies a function of one argument that is used to extract a comparison key from each list element: `key=str.lower`. The default value is `None` (compare the elements directly).

  reverse is a boolean value. If set to `True`, then the list elements are sorted as if each comparison were reversed.

  In general, the key and reverse conversion processes are much faster than specifying an equivalent cmp function. This is because cmp is called multiple times for each list element while key and reverse touch each element only once. Use `functools.cmp_to_key()` to convert an old-style cmp function to a key function.

  The built-in `sorted()` function is guaranteed to be stable. A sort is stable if it guarantees not to change the relative order of elements that compare equal — this is helpful for sorting in multiple passes (for example, sort by department, then by salary grade).

  For sorting examples and a brief sorting tutorial, see 如何排序.

  2.4 版新加入.

`staticmethod`(function)

  Return a static method for function.

  A static method does not receive an implicit first argument. To declare a static method, use this idiom:

      class C(object):
          @staticmethod
          def f(arg1, arg2, ...):
              ...

  `@staticmethod` 这样的形式称为函数的 decorator – 详情参阅 Function definitions。

  静态方法的调用可以在类上进行 (例如 `C.f()`) 也可以在实例上进行 (例如 `C().f()`)。

  Static methods in Python are similar to those found in Java or C++. Also see `classmethod()` for a variant that is useful for creating alternate class constructors.

  想了解更多有关静态方法的信息，请参阅 The standard type hierarchy 。

  2.2 版新加入.

  2.4 版更變: Function decorator syntax added.

class `str`(object='')

  Return a string containing a nicely printable representation of an object. For strings, this returns the string itself. The difference with `repr(object)` is that `str(object)` does not always attempt to return a string that is acceptable to `eval()`; its goal is to return a printable string. If no argument is given, returns the empty string, `''`.

  For more information on strings see Sequence Types — str, unicode, list, tuple, bytearray, buffer, xrange which describes sequence functionality (strings are sequences), and also the string-specific methods described in the String Methods section. To output formatted strings use template strings or the `%` operator described in the String Formatting Operations section. In addition see the String Services section. See also `unicode()`.

`sum`(iterable[, start])

  Sums start and the items of an iterable from left to right and returns the total. start defaults to `0`. The iterable’s items are normally numbers, and the start value is not allowed to be a string.

  For some use cases, there are good alternatives to `sum()`. The preferred, fast way to concatenate a sequence of strings is by calling `''.join(sequence)`. To add floating point values with extended precision, see `math.fsum()`. To concatenate a series of iterables, consider using `itertools.chain()`.

  2.3 版新加入.

`super`(type[, object-or-type])

  Return a proxy object that delegates method calls to a parent or sibling class of type. This is useful for accessing inherited methods that have been overridden in a class. The search order is same as that used by `getattr()` except that the type itself is skipped.

  The `__mro__` attribute of the type lists the method resolution search order used by both `getattr()` and `super()`. The attribute is dynamic and can change whenever the inheritance hierarchy is updated.

  If the second argument is omitted, the super object returned is unbound. If the second argument is an object, `isinstance(obj, type)` must be true. If the second argument is a type, `issubclass(type2, type)` must be true (this is useful for classmethods).

  備註

  `super()` only works for new-style classes.

  There are two typical use cases for super. In a class hierarchy with single inheritance, super can be used to refer to parent classes without naming them explicitly, thus making the code more maintainable. This use closely parallels the use of super in other programming languages.

  The second use case is to support cooperative multiple inheritance in a dynamic execution environment. This use case is unique to Python and is not found in statically compiled languages or languages that only support single inheritance. This makes it possible to implement 「diamond diagrams」 where multiple base classes implement the same method. Good design dictates that this method have the same calling signature in every case (because the order of calls is determined at runtime, because that order adapts to changes in the class hierarchy, and because that order can include sibling classes that are unknown prior to runtime).

  For both use cases, a typical superclass call looks like this:

      class C(B):
          def method(self, arg):
              super(C, self).method(arg)

  Note that `super()` is implemented as part of the binding process for explicit dotted attribute lookups such as `super().__getitem__(name)`. It does so by implementing its own `__getattribute__()` method for searching classes in a predictable order that supports cooperative multiple inheritance. Accordingly, `super()` is undefined for implicit lookups using statements or operators such as `super()[name]`.

  Also note that `super()` is not limited to use inside methods. The two argument form specifies the arguments exactly and makes the appropriate references.

  For practical suggestions on how to design cooperative classes using `super()`, see guide to using super().

  2.2 版新加入.

`tuple`([iterable])

  Return a tuple whose items are the same and in the same order as iterable’s items. iterable may be a sequence, a container that supports iteration, or an iterator object. If iterable is already a tuple, it is returned unchanged. For instance, `tuple('abc')` returns `('a', 'b', 'c')` and `tuple([1, 2, 3])` returns `(1, 2, 3)`. If no argument is given, returns a new empty tuple, `()`.

  `tuple` is an immutable sequence type, as documented in Sequence Types — str, unicode, list, tuple, bytearray, buffer, xrange. For other containers see the built in `dict`, `list`, and `set` classes, and the `collections` module.

class `type`(object)
class `type`(name, bases, dict)

  With one argument, return the type of an object. The return value is a type object. The `isinstance()` built-in function is recommended for testing the type of an object.

  With three arguments, return a new type object. This is essentially a dynamic form of the `class` statement. The name string is the class name and becomes the `__name__` attribute; the bases tuple itemizes the base classes and becomes the `__bases__` attribute; and the dict dictionary is the namespace containing definitions for class body and becomes the `__dict__` attribute. For example, the following two statements create identical `type` objects:

      >>> class X(object):
      ...     a = 1
      ...
      >>> X = type('X', (object,), dict(a=1))

  2.2 版新加入.

`unichr`(i)

  Return the Unicode string of one character whose Unicode code is the integer i. For example, `unichr(97)` returns the string `u'a'`. This is the inverse of `ord()` for Unicode strings. The valid range for the argument depends how Python was configured – it may be either UCS2 [0..0xFFFF] or UCS4 [0..0x10FFFF]. `ValueError` is raised otherwise. For ASCII and 8-bit strings see `chr()`.

  2.0 版新加入.

`unicode`(object='')
`unicode`(object[, encoding[, errors]])

  Return the Unicode string version of object using one of the following modes:

  If encoding and/or errors are given, `unicode()` will decode the object which can either be an 8-bit string or a character buffer using the codec for encoding. The encoding parameter is a string giving the name of an encoding; if the encoding is not known, `LookupError` is raised. Error handling is done according to errors; this specifies the treatment of characters which are invalid in the input encoding. If errors is `'strict'` (the default), a `ValueError` is raised on errors, while a value of `'ignore'` causes errors to be silently ignored, and a value of `'replace'` causes the official Unicode replacement character, `U+FFFD`, to be used to replace input characters which cannot be decoded. See also the `codecs` module.

  If no optional parameters are given, `unicode()` will mimic the behaviour of `str()` except that it returns Unicode strings instead of 8-bit strings. More precisely, if object is a Unicode string or subclass it will return that Unicode string without any additional decoding applied.

  For objects which provide a `__unicode__()` method, it will call this method without arguments to create a Unicode string. For all other objects, the 8-bit string version or representation is requested and then converted to a Unicode string using the codec for the default encoding in `'strict'` mode.

  For more information on Unicode strings see Sequence Types — str, unicode, list, tuple, bytearray, buffer, xrange which describes sequence functionality (Unicode strings are sequences), and also the string-specific methods described in the String Methods section. To output formatted strings use template strings or the `%` operator described in the String Formatting Operations section. In addition see the String Services section. See also `str()`.

  2.0 版新加入.

  2.2 版更變: Support for `__unicode__()` added.

`vars`([object])

  Return the `__dict__` attribute for a module, class, instance, or any other object with a `__dict__` attribute.

  Objects such as modules and instances have an updateable `__dict__` attribute; however, other objects may have write restrictions on their `__dict__` attributes (for example, new-style classes use a dictproxy to prevent direct dictionary updates).

  Without an argument, `vars()` acts like `locals()`. Note, the locals dictionary is only useful for reads since updates to the locals dictionary are ignored.

`xrange`(stop)
`xrange`(start, stop[, step])

  This function is very similar to `range()`, but returns an xrange object instead of a list. This is an opaque sequence type which yields the same values as the corresponding list, without actually storing them all simultaneously. The advantage of `xrange()` over `range()` is minimal (since `xrange()` still has to create the values when asked for them) except when a very large range is used on a memory-starved machine or when all of the range’s elements are never used (such as when the loop is usually terminated with `break`). For more information on xrange objects, see XRange Type and Sequence Types — str, unicode, list, tuple, bytearray, buffer, xrange.

  CPython implementation detail: `xrange()` is intended to be simple and fast. Implementations may impose restrictions to achieve this. The C implementation of Python restricts all arguments to native C longs (「short」 Python integers), and also requires that the number of elements fit in a native C long. If a larger range is needed, an alternate version can be crafted using the `itertools` module: `islice(count(start, step), (stop-start+step-1+2*(step<0))//step)`.

`zip`([iterable, ...])

  This function returns a list of tuples, where the i-th tuple contains the i-th element from each of the argument sequences or iterables. The returned list is truncated in length to the length of the shortest argument sequence. When there are multiple arguments which are all of the same length, `zip()` is similar to `map()` with an initial argument of `None`. With a single sequence argument, it returns a list of 1-tuples. With no arguments, it returns an empty list.

  The left-to-right evaluation order of the iterables is guaranteed. This makes possible an idiom for clustering a data series into n-length groups using `zip(*[iter(s)]*n)`.

  `zip()` in conjunction with the `*` operator can be used to unzip a list:

      >>> x = [1, 2, 3]
      >>> y = [4, 5, 6]
      >>> zipped = zip(x, y)
      >>> zipped
      [(1, 4), (2, 5), (3, 6)]
      >>> x2, y2 = zip(*zipped)
      >>> x == list(x2) and y == list(y2)
      True

  2.0 版新加入.

  2.4 版更變: Formerly, `zip()` required at least one argument and `zip()` raised a `TypeError` instead of returning an empty list.

`__import__`(name[, globals[, locals[, fromlist[, level]]]])

  備註

  This is an advanced function that is not needed in everyday Python programming, unlike `importlib.import_module()`.

  This function is invoked by the `import` statement. It can be replaced (by importing the `__builtin__` module and assigning to `__builtin__.__import__`) in order to change semantics of the `import` statement, but nowadays it is usually simpler to use import hooks (see PEP 302). Direct use of `__import__()` is rare, except in cases where you want to import a module whose name is only known at runtime.

  The function imports the module name, potentially using the given globals and locals to determine how to interpret the name in a package context. The fromlist gives the names of objects or submodules that should be imported from the module given by name. The standard implementation does not use its locals argument at all, and uses its globals only to determine the package context of the `import` statement.

  level specifies whether to use absolute or relative imports. The default is `-1` which indicates both absolute and relative imports will be attempted. `0` means only perform absolute imports. Positive values for level indicate the number of parent directories to search relative to the directory of the module calling `__import__()`.

  When the name variable is of the form `package.module`, normally, the top-level package (the name up till the first dot) is returned, not the module named by name. However, when a non-empty fromlist argument is given, the module named by name is returned.

  For example, the statement `import spam` results in bytecode resembling the following code:

      spam = __import__('spam', globals(), locals(), [], -1)

  The statement `import spam.ham` results in this call:

      spam = __import__('spam.ham', globals(), locals(), [], -1)

  Note how `__import__()` returns the toplevel module here because this is the object that is bound to a name by the `import` statement.

  On the other hand, the statement `from spam.ham import eggs, sausage as saus` results in

      _temp = __import__('spam.ham', globals(), locals(), ['eggs', 'sausage'], -1)
      eggs = _temp.eggs
      saus = _temp.sausage

  Here, the `spam.ham` module is returned from `__import__()`. From this object, the names to import are retrieved and assigned to their respective names.

  If you simply want to import a module (potentially within a package) by name, use `importlib.import_module()`.

  2.5 版更變: The level parameter was added.

  2.5 版更變: Keyword support for parameters was added.

# 3. Non-essential Built-in Functions

There are several built-in functions that are no longer essential to learn, know or use in modern Python programming. They have been kept here to maintain backwards compatibility with programs written for older versions of Python.

Python programmers, trainers, students and book writers should feel free to bypass these functions without concerns about missing something important.

`apply`(function, args[, keywords])

  The function argument must be a callable object (a user-defined or built-in function or method, or a class object) and the args argument must be a sequence. The function is called with args as the argument list; the number of arguments is the length of the tuple. If the optional keywords argument is present, it must be a dictionary whose keys are strings. It specifies keyword arguments to be added to the end of the argument list. Calling `apply()` is different from just calling `function(args)`, since in that case there is always exactly one argument. The use of `apply()` is equivalent to `function(*args, **keywords)`.

  2.3 版後已棄用: Use `function(*args, **keywords)` instead of `apply(function, args, keywords)` (see Unpacking Argument Lists).

`buffer`(object[, offset[, size]])

  The object argument must be an object that supports the buffer call interface (such as strings, arrays, and buffers). A new buffer object will be created which references the object argument. The buffer object will be a slice from the beginning of object (or from the specified offset). The slice will extend to the end of object (or will have a length given by the size argument).

`coerce`(x, y)

  Return a tuple consisting of the two numeric arguments converted to a common type, using the same rules as used by arithmetic operations. If coercion is not possible, raise `TypeError`.

`intern`(string)

  Enter string in the table of 「interned」 strings and return the interned string – which is string itself or a copy. Interning strings is useful to gain a little performance on dictionary lookup – if the keys in a dictionary are interned, and the lookup key is interned, the key comparisons (after hashing) can be done by a pointer compare instead of a string compare. Normally, the names used in Python programs are automatically interned, and the dictionaries used to hold module, class or instance attributes have interned keys.

  2.3 版更變: Interned strings are not immortal (like they used to be in Python 2.2 and before); you must keep a reference to the return value of `intern()` around to benefit from it.

註解

1

  It is used relatively rarely so does not warrant being made into a statement.

2

  Specifying a buffer size currently has no effect on systems that don’t have `setvbuf()`. The interface to specify the buffer size is not done using a method that calls `setvbuf()`, because that may dump core when called after any I/O has been performed, and there’s no reliable way to determine whether this is the case.

3

  In the current implementation, local variable bindings cannot normally be affected this way, but variables retrieved from other scopes (such as modules) can be. This may change.