2006-02-22 15:40:03 -05:00
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PEP: 358
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2006-02-22 15:43:33 -05:00
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Title: The "bytes" Object
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2006-02-22 15:40:03 -05:00
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Version: $Revision$
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Last-Modified: $Date$
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2007-06-20 00:21:24 -04:00
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Author: Neil Schemenauer <nas@arctrix.com>, Guido van Rossum <guido@python.org>
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2009-01-19 11:08:45 -05:00
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Status: Final
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2006-02-22 15:40:03 -05:00
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Type: Standards Track
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Content-Type: text/x-rst
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2006-02-22 15:40:03 -05:00
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Created: 15-Feb-2006
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2007-02-22 18:57:46 -05:00
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Python-Version: 2.6, 3.0
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2006-02-22 15:40:03 -05:00
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Post-History:
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2007-10-03 12:04:53 -04:00
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Update
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2017-02-10 17:19:22 -05:00
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======
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2007-10-03 12:04:53 -04:00
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2022-01-21 06:03:51 -05:00
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This PEP has partially been superseded by :pep:`3137`.
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2007-10-03 12:04:53 -04:00
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Abstract
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========
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This PEP outlines the introduction of a raw bytes sequence type.
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Adding the bytes type is one step in the transition to
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Unicode-based str objects which will be introduced in Python 3.0.
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The PEP describes how the bytes type should work in Python 2.6, as
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well as how it should work in Python 3.0. (Occasionally there are
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differences because in Python 2.6, we have two string types, str
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and unicode, while in Python 3.0 we will only have one string
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type, whose name will be str but whose semantics will be like the
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2.6 unicode type.)
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Motivation
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==========
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Python's current string objects are overloaded. They serve to hold
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both sequences of characters and sequences of bytes. This
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overloading of purpose leads to confusion and bugs. In future
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versions of Python, string objects will be used for holding
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character data. The bytes object will fulfil the role of a byte
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container. Eventually the unicode type will be renamed to str
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and the old str type will be removed.
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Specification
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=============
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A bytes object stores a mutable sequence of integers that are in
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the range 0 to 255. Unlike string objects, indexing a bytes
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object returns an integer. Assigning or comparing an object that
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is not an integer to an element causes a ``TypeError`` exception.
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Assigning an element to a value outside the range 0 to 255 causes
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a ``ValueError`` exception. The ``.__len__()`` method of bytes returns
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the number of integers stored in the sequence (i.e. the number of
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bytes).
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The constructor of the bytes object has the following signature::
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bytes([initializer[, encoding]])
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If no arguments are provided then a bytes object containing zero
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elements is created and returned. The initializer argument can be
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a string (in 2.6, either str or unicode), an iterable of integers,
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or a single integer. The pseudo-code for the constructor
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(optimized for clear semantics, not for speed) is::
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def bytes(initializer=0, encoding=None):
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if isinstance(initializer, int): # In 2.6, int -> (int, long)
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initializer = [0]*initializer
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elif isinstance(initializer, basestring):
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if isinstance(initializer, unicode): # In 3.0, "if True"
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if encoding is None:
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# In 3.0, raise TypeError("explicit encoding required")
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encoding = sys.getdefaultencoding()
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initializer = initializer.encode(encoding)
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initializer = [ord(c) for c in initializer]
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else:
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if encoding is not None:
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raise TypeError("no encoding allowed for this initializer")
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tmp = []
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for c in initializer:
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if not isinstance(c, int):
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raise TypeError("initializer must be iterable of ints")
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if not 0 <= c < 256:
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raise ValueError("initializer element out of range")
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tmp.append(c)
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initializer = tmp
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new = <new bytes object of length len(initializer)>
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for i, c in enumerate(initializer):
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new[i] = c
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return new
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The ``.__repr__()`` method returns a string that can be evaluated to
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generate a new bytes object containing a bytes literal::
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>>> bytes([10, 20, 30])
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b'\n\x14\x1e'
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The object has a ``.decode()`` method equivalent to the ``.decode()``
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method of the str object. The object has a classmethod ``.fromhex()``
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that takes a string of characters from the set ``[0-9a-fA-F ]`` and
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returns a bytes object (similar to ``binascii.unhexlify``). For
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example::
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>>> bytes.fromhex('5c5350ff')
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b'\\SP\xff'
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>>> bytes.fromhex('5c 53 50 ff')
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b'\\SP\xff'
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The object has a ``.hex()`` method that does the reverse conversion
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(similar to ``binascii.hexlify``)::
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>> bytes([92, 83, 80, 255]).hex()
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'5c5350ff'
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The bytes object has some methods similar to list methods, and
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others similar to str methods. Here is a complete list of
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methods, with their approximate signatures::
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.__add__(bytes) -> bytes
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.__contains__(int | bytes) -> bool
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.__delitem__(int | slice) -> None
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.__delslice__(int, int) -> None
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.__eq__(bytes) -> bool
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.__ge__(bytes) -> bool
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.__getitem__(int | slice) -> int | bytes
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.__getslice__(int, int) -> bytes
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.__gt__(bytes) -> bool
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.__iadd__(bytes) -> bytes
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.__imul__(int) -> bytes
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.__iter__() -> iterator
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.__le__(bytes) -> bool
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.__len__() -> int
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.__lt__(bytes) -> bool
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.__mul__(int) -> bytes
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.__ne__(bytes) -> bool
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.__reduce__(...) -> ...
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.__reduce_ex__(...) -> ...
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.__repr__() -> str
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.__reversed__() -> bytes
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.__rmul__(int) -> bytes
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.__setitem__(int | slice, int | iterable[int]) -> None
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.__setslice__(int, int, iterable[int]) -> Bote
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.append(int) -> None
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.count(int) -> int
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.decode(str) -> str | unicode # in 3.0, only str
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.endswith(bytes) -> bool
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.extend(iterable[int]) -> None
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.find(bytes) -> int
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.index(bytes | int) -> int
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.insert(int, int) -> None
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.join(iterable[bytes]) -> bytes
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.partition(bytes) -> (bytes, bytes, bytes)
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.pop([int]) -> int
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.remove(int) -> None
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.replace(bytes, bytes) -> bytes
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.rindex(bytes | int) -> int
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.rpartition(bytes) -> (bytes, bytes, bytes)
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.split(bytes) -> list[bytes]
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.startswith(bytes) -> bool
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.reverse() -> None
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.rfind(bytes) -> int
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.rindex(bytes | int) -> int
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.rsplit(bytes) -> list[bytes]
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.translate(bytes, [bytes]) -> bytes
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Note the conspicuous absence of ``.isupper()``, ``.upper()``, and friends.
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(But see "Open Issues" below.) There is no ``.__hash__()`` because
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the object is mutable. There is no use case for a ``.sort()`` method.
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The bytes type also supports the buffer interface, supporting
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reading and writing binary (but not character) data.
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Out of Scope Issues
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===================
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* Python 3k will have a much different I/O subsystem. Deciding
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how that I/O subsystem will work and interact with the bytes
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object is out of the scope of this PEP. The expectation however
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is that binary I/O will read and write bytes, while text I/O
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will read strings. Since the bytes type supports the buffer
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interface, the existing binary I/O operations in Python 2.6 will
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support bytes objects.
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* It has been suggested that a special method named ``.__bytes__()``
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be added to the language to allow objects to be converted into
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byte arrays. This decision is out of scope.
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* A bytes literal of the form ``b"..."`` is also proposed. This is
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the subject of :pep:`3112`.
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2006-02-22 15:40:03 -05:00
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Open Issues
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===========
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* The ``.decode()`` method is redundant since a bytes object ``b`` can
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also be decoded by calling ``unicode(b, <encoding>)`` (in 2.6) or
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``str(b, <encoding>)`` (in 3.0). Do we need encode/decode methods
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at all? In a sense the spelling using a constructor is cleaner.
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* Need to specify the methods still more carefully.
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* Pickling and marshalling support need to be specified.
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* Should all those list methods really be implemented?
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* A case could be made for supporting ``.ljust()``, ``.rjust()``,
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``.center()`` with a mandatory second argument.
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* A case could be made for supporting ``.split()`` with a mandatory
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argument.
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* A case could even be made for supporting ``.islower()``, ``.isupper()``,
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``.isspace()``, ``.isalpha()``, ``.isalnum()``, ``.isdigit()`` and the
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corresponding conversions (``.lower()`` etc.), using the ASCII
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definitions for letters, digits and whitespace. If this is
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accepted, the cases for ``.ljust()``, ``.rjust()``, ``.center()`` and
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``.split()`` become much stronger, and they should have default
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arguments as well, using an ASCII space or all ASCII whitespace
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(for ``.split()``).
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Frequently Asked Questions
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==========================
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**Q:** Why have the optional encoding argument when the encode method of
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Unicode objects does the same thing?
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**A:** In the current version of Python, the encode method returns a str
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object and we cannot change that without breaking code. The
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construct ``bytes(s.encode(...))`` is expensive because it has to
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copy the byte sequence multiple times. Also, Python generally
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provides two ways of converting an object of type A into an
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object of type B: ask an A instance to convert itself to a B, or
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ask the type B to create a new instance from an A. Depending on
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what A and B are, both APIs make sense; sometimes reasons of
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decoupling require that A can't know about B, in which case you
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have to use the latter approach; sometimes B can't know about A,
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in which case you have to use the former.
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**Q:** Why does bytes ignore the encoding argument if the initializer is
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a str? (This only applies to 2.6.)
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**A:** There is no sane meaning that the encoding can have in that case.
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str objects *are* byte arrays and they know nothing about the
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encoding of character data they contain. We need to assume that
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the programmer has provided a str object that already uses the
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desired encoding. If you need something other than a pure copy of
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the bytes then you need to first decode the string. For example::
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bytes(s.decode(encoding1), encoding2)
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**Q:** Why not have the encoding argument default to Latin-1 (or some
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other encoding that covers the entire byte range) rather than
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ASCII?
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**A:** The system default encoding for Python is ASCII. It seems least
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confusing to use that default. Also, in Py3k, using Latin-1 as
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the default might not be what users expect. For example, they
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might prefer a Unicode encoding. Any default will not always
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work as expected. At least ASCII will complain loudly if you try
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to encode non-ASCII data.
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Copyright
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=========
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This document has been placed in the public domain.
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2017-02-10 17:19:22 -05:00
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..
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Local Variables:
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mode: indented-text
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indent-tabs-mode: nil
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sentence-end-double-space: t
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fill-column: 70
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coding: utf-8
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End:
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