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# Copyright (C) 2001-2024, Python Software Foundation
# This file is distributed under the same license as the Python package.
#
# Translators:
# Leon H., 2017
msgid ""
msgstr ""
"Project-Id-Version: Python 3.12\n"
"Report-Msgid-Bugs-To: \n"
"POT-Creation-Date: 2024-09-03 11:11+0800\n"
"PO-Revision-Date: 2018-05-23 14:36+0000\n"
"Last-Translator: Adrian Liaw <adrianliaw2000@gmail.com>\n"
"Language-Team: Chinese - TAIWAN (https://github.com/python/python-docs-zh-"
"tw)\n"
"Language: zh_TW\n"
"MIME-Version: 1.0\n"
"Content-Type: text/plain; charset=UTF-8\n"
"Content-Transfer-Encoding: 8bit\n"
"Plural-Forms: nplurals=1; plural=0;\n"
#: ../../howto/functional.rst:3
msgid "Functional Programming HOWTO"
msgstr "函式編程 HOWTO"
#: ../../howto/functional.rst:0
msgid "Author"
msgstr "作者"
#: ../../howto/functional.rst:5
msgid "A. M. Kuchling"
msgstr "A. M. Kuchling"
#: ../../howto/functional.rst:0
msgid "Release"
msgstr "發佈版本"
#: ../../howto/functional.rst:6
msgid "0.32"
msgstr "0.32"
#: ../../howto/functional.rst:8
msgid ""
"In this document, we'll take a tour of Python's features suitable for "
"implementing programs in a functional style. After an introduction to the "
"concepts of functional programming, we'll look at language features such as :"
"term:`iterator`\\s and :term:`generator`\\s and relevant library modules "
"such as :mod:`itertools` and :mod:`functools`."
msgstr ""
#: ../../howto/functional.rst:16
msgid "Introduction"
msgstr "簡介"
#: ../../howto/functional.rst:18
msgid ""
"This section explains the basic concept of functional programming; if you're "
"just interested in learning about Python language features, skip to the next "
"section on :ref:`functional-howto-iterators`."
msgstr ""
#: ../../howto/functional.rst:22
msgid ""
"Programming languages support decomposing problems in several different ways:"
msgstr ""
#: ../../howto/functional.rst:24
msgid ""
"Most programming languages are **procedural**: programs are lists of "
"instructions that tell the computer what to do with the program's input. C, "
"Pascal, and even Unix shells are procedural languages."
msgstr ""
#: ../../howto/functional.rst:28
msgid ""
"In **declarative** languages, you write a specification that describes the "
"problem to be solved, and the language implementation figures out how to "
"perform the computation efficiently. SQL is the declarative language you're "
"most likely to be familiar with; a SQL query describes the data set you want "
"to retrieve, and the SQL engine decides whether to scan tables or use "
"indexes, which subclauses should be performed first, etc."
msgstr ""
#: ../../howto/functional.rst:35
msgid ""
"**Object-oriented** programs manipulate collections of objects. Objects "
"have internal state and support methods that query or modify this internal "
"state in some way. Smalltalk and Java are object-oriented languages. C++ "
"and Python are languages that support object-oriented programming, but don't "
"force the use of object-oriented features."
msgstr ""
#: ../../howto/functional.rst:41
msgid ""
"**Functional** programming decomposes a problem into a set of functions. "
"Ideally, functions only take inputs and produce outputs, and don't have any "
"internal state that affects the output produced for a given input. Well-"
"known functional languages include the ML family (Standard ML, OCaml, and "
"other variants) and Haskell."
msgstr ""
#: ../../howto/functional.rst:47
msgid ""
"The designers of some computer languages choose to emphasize one particular "
"approach to programming. This often makes it difficult to write programs "
"that use a different approach. Other languages are multi-paradigm languages "
"that support several different approaches. Lisp, C++, and Python are multi-"
"paradigm; you can write programs or libraries that are largely procedural, "
"object-oriented, or functional in all of these languages. In a large "
"program, different sections might be written using different approaches; the "
"GUI might be object-oriented while the processing logic is procedural or "
"functional, for example."
msgstr ""
#: ../../howto/functional.rst:58
msgid ""
"In a functional program, input flows through a set of functions. Each "
"function operates on its input and produces some output. Functional style "
"discourages functions with side effects that modify internal state or make "
"other changes that aren't visible in the function's return value. Functions "
"that have no side effects at all are called **purely functional**. Avoiding "
"side effects means not using data structures that get updated as a program "
"runs; every function's output must only depend on its input."
msgstr ""
#: ../../howto/functional.rst:66
msgid ""
"Some languages are very strict about purity and don't even have assignment "
"statements such as ``a=3`` or ``c = a + b``, but it's difficult to avoid all "
"side effects, such as printing to the screen or writing to a disk file. "
"Another example is a call to the :func:`print` or :func:`time.sleep` "
"function, neither of which returns a useful value. Both are called only for "
"their side effects of sending some text to the screen or pausing execution "
"for a second."
msgstr ""
#: ../../howto/functional.rst:73
msgid ""
"Python programs written in functional style usually won't go to the extreme "
"of avoiding all I/O or all assignments; instead, they'll provide a "
"functional-appearing interface but will use non-functional features "
"internally. For example, the implementation of a function will still use "
"assignments to local variables, but won't modify global variables or have "
"other side effects."
msgstr ""
#: ../../howto/functional.rst:79
msgid ""
"Functional programming can be considered the opposite of object-oriented "
"programming. Objects are little capsules containing some internal state "
"along with a collection of method calls that let you modify this state, and "
"programs consist of making the right set of state changes. Functional "
"programming wants to avoid state changes as much as possible and works with "
"data flowing between functions. In Python you might combine the two "
"approaches by writing functions that take and return instances representing "
"objects in your application (e-mail messages, transactions, etc.)."
msgstr ""
#: ../../howto/functional.rst:88
msgid ""
"Functional design may seem like an odd constraint to work under. Why should "
"you avoid objects and side effects? There are theoretical and practical "
"advantages to the functional style:"
msgstr ""
#: ../../howto/functional.rst:92
msgid "Formal provability."
msgstr ""
#: ../../howto/functional.rst:93
msgid "Modularity."
msgstr ""
#: ../../howto/functional.rst:94
msgid "Composability."
msgstr ""
#: ../../howto/functional.rst:95
msgid "Ease of debugging and testing."
msgstr ""
#: ../../howto/functional.rst:99
msgid "Formal provability"
msgstr ""
#: ../../howto/functional.rst:101
msgid ""
"A theoretical benefit is that it's easier to construct a mathematical proof "
"that a functional program is correct."
msgstr ""
#: ../../howto/functional.rst:104
msgid ""
"For a long time researchers have been interested in finding ways to "
"mathematically prove programs correct. This is different from testing a "
"program on numerous inputs and concluding that its output is usually "
"correct, or reading a program's source code and concluding that the code "
"looks right; the goal is instead a rigorous proof that a program produces "
"the right result for all possible inputs."
msgstr ""
#: ../../howto/functional.rst:111
msgid ""
"The technique used to prove programs correct is to write down "
"**invariants**, properties of the input data and of the program's variables "
"that are always true. For each line of code, you then show that if "
"invariants X and Y are true **before** the line is executed, the slightly "
"different invariants X' and Y' are true **after** the line is executed. "
"This continues until you reach the end of the program, at which point the "
"invariants should match the desired conditions on the program's output."
msgstr ""
#: ../../howto/functional.rst:119
msgid ""
"Functional programming's avoidance of assignments arose because assignments "
"are difficult to handle with this technique; assignments can break "
"invariants that were true before the assignment without producing any new "
"invariants that can be propagated onward."
msgstr ""
#: ../../howto/functional.rst:124
msgid ""
"Unfortunately, proving programs correct is largely impractical and not "
"relevant to Python software. Even trivial programs require proofs that are "
"several pages long; the proof of correctness for a moderately complicated "
"program would be enormous, and few or none of the programs you use daily "
"(the Python interpreter, your XML parser, your web browser) could be proven "
"correct. Even if you wrote down or generated a proof, there would then be "
"the question of verifying the proof; maybe there's an error in it, and you "
"wrongly believe you've proved the program correct."
msgstr ""
#: ../../howto/functional.rst:135
msgid "Modularity"
msgstr ""
#: ../../howto/functional.rst:137
msgid ""
"A more practical benefit of functional programming is that it forces you to "
"break apart your problem into small pieces. Programs are more modular as a "
"result. It's easier to specify and write a small function that does one "
"thing than a large function that performs a complicated transformation. "
"Small functions are also easier to read and to check for errors."
msgstr ""
#: ../../howto/functional.rst:145
msgid "Ease of debugging and testing"
msgstr ""
#: ../../howto/functional.rst:147
msgid "Testing and debugging a functional-style program is easier."
msgstr ""
#: ../../howto/functional.rst:149
msgid ""
"Debugging is simplified because functions are generally small and clearly "
"specified. When a program doesn't work, each function is an interface point "
"where you can check that the data are correct. You can look at the "
"intermediate inputs and outputs to quickly isolate the function that's "
"responsible for a bug."
msgstr ""
#: ../../howto/functional.rst:154
msgid ""
"Testing is easier because each function is a potential subject for a unit "
"test. Functions don't depend on system state that needs to be replicated "
"before running a test; instead you only have to synthesize the right input "
"and then check that the output matches expectations."
msgstr ""
#: ../../howto/functional.rst:161
msgid "Composability"
msgstr ""
#: ../../howto/functional.rst:163
msgid ""
"As you work on a functional-style program, you'll write a number of "
"functions with varying inputs and outputs. Some of these functions will be "
"unavoidably specialized to a particular application, but others will be "
"useful in a wide variety of programs. For example, a function that takes a "
"directory path and returns all the XML files in the directory, or a function "
"that takes a filename and returns its contents, can be applied to many "
"different situations."
msgstr ""
#: ../../howto/functional.rst:170
msgid ""
"Over time you'll form a personal library of utilities. Often you'll "
"assemble new programs by arranging existing functions in a new configuration "
"and writing a few functions specialized for the current task."
msgstr ""
#: ../../howto/functional.rst:178
msgid "Iterators"
msgstr ""
#: ../../howto/functional.rst:180
msgid ""
"I'll start by looking at a Python language feature that's an important "
"foundation for writing functional-style programs: iterators."
msgstr ""
#: ../../howto/functional.rst:183
msgid ""
"An iterator is an object representing a stream of data; this object returns "
"the data one element at a time. A Python iterator must support a method "
"called :meth:`~iterator.__next__` that takes no arguments and always returns "
"the next element of the stream. If there are no more elements in the "
"stream, :meth:`~iterator.__next__` must raise the :exc:`StopIteration` "
"exception. Iterators don't have to be finite, though; it's perfectly "
"reasonable to write an iterator that produces an infinite stream of data."
msgstr ""
#: ../../howto/functional.rst:191
msgid ""
"The built-in :func:`iter` function takes an arbitrary object and tries to "
"return an iterator that will return the object's contents or elements, "
"raising :exc:`TypeError` if the object doesn't support iteration. Several "
"of Python's built-in data types support iteration, the most common being "
"lists and dictionaries. An object is called :term:`iterable` if you can get "
"an iterator for it."
msgstr ""
#: ../../howto/functional.rst:198
msgid "You can experiment with the iteration interface manually:"
msgstr ""
#: ../../howto/functional.rst:216
msgid ""
"Python expects iterable objects in several different contexts, the most "
"important being the :keyword:`for` statement. In the statement ``for X in "
"Y``, Y must be an iterator or some object for which :func:`iter` can create "
"an iterator. These two statements are equivalent::"
msgstr ""
#: ../../howto/functional.rst:222
msgid ""
"for i in iter(obj):\n"
" print(i)\n"
"\n"
"for i in obj:\n"
" print(i)"
msgstr ""
"for i in iter(obj):\n"
" print(i)\n"
"\n"
"for i in obj:\n"
" print(i)"
#: ../../howto/functional.rst:228
msgid ""
"Iterators can be materialized as lists or tuples by using the :func:`list` "
"or :func:`tuple` constructor functions:"
msgstr ""
#: ../../howto/functional.rst:237
msgid ""
"Sequence unpacking also supports iterators: if you know an iterator will "
"return N elements, you can unpack them into an N-tuple:"
msgstr ""
#: ../../howto/functional.rst:246
msgid ""
"Built-in functions such as :func:`max` and :func:`min` can take a single "
"iterator argument and will return the largest or smallest element. The "
"``\"in\"`` and ``\"not in\"`` operators also support iterators: ``X in "
"iterator`` is true if X is found in the stream returned by the iterator. "
"You'll run into obvious problems if the iterator is infinite; :func:`max`, :"
"func:`min` will never return, and if the element X never appears in the "
"stream, the ``\"in\"`` and ``\"not in\"`` operators won't return either."
msgstr ""
#: ../../howto/functional.rst:254
msgid ""
"Note that you can only go forward in an iterator; there's no way to get the "
"previous element, reset the iterator, or make a copy of it. Iterator "
"objects can optionally provide these additional capabilities, but the "
"iterator protocol only specifies the :meth:`~iterator.__next__` method. "
"Functions may therefore consume all of the iterator's output, and if you "
"need to do something different with the same stream, you'll have to create a "
"new iterator."
msgstr ""
#: ../../howto/functional.rst:264
msgid "Data Types That Support Iterators"
msgstr ""
#: ../../howto/functional.rst:266
msgid ""
"We've already seen how lists and tuples support iterators. In fact, any "
"Python sequence type, such as strings, will automatically support creation "
"of an iterator."
msgstr ""
#: ../../howto/functional.rst:270
msgid ""
"Calling :func:`iter` on a dictionary returns an iterator that will loop over "
"the dictionary's keys::"
msgstr ""
#: ../../howto/functional.rst:273
msgid ""
">>> m = {'Jan': 1, 'Feb': 2, 'Mar': 3, 'Apr': 4, 'May': 5, 'Jun': 6,\n"
"... 'Jul': 7, 'Aug': 8, 'Sep': 9, 'Oct': 10, 'Nov': 11, 'Dec': 12}\n"
">>> for key in m:\n"
"... print(key, m[key])\n"
"Jan 1\n"
"Feb 2\n"
"Mar 3\n"
"Apr 4\n"
"May 5\n"
"Jun 6\n"
"Jul 7\n"
"Aug 8\n"
"Sep 9\n"
"Oct 10\n"
"Nov 11\n"
"Dec 12"
msgstr ""
">>> m = {'Jan': 1, 'Feb': 2, 'Mar': 3, 'Apr': 4, 'May': 5, 'Jun': 6,\n"
"... 'Jul': 7, 'Aug': 8, 'Sep': 9, 'Oct': 10, 'Nov': 11, 'Dec': 12}\n"
">>> for key in m:\n"
"... print(key, m[key])\n"
"Jan 1\n"
"Feb 2\n"
"Mar 3\n"
"Apr 4\n"
"May 5\n"
"Jun 6\n"
"Jul 7\n"
"Aug 8\n"
"Sep 9\n"
"Oct 10\n"
"Nov 11\n"
"Dec 12"
#: ../../howto/functional.rst:290
msgid ""
"Note that starting with Python 3.7, dictionary iteration order is guaranteed "
"to be the same as the insertion order. In earlier versions, the behaviour "
"was unspecified and could vary between implementations."
msgstr ""
#: ../../howto/functional.rst:294
msgid ""
"Applying :func:`iter` to a dictionary always loops over the keys, but "
"dictionaries have methods that return other iterators. If you want to "
"iterate over values or key/value pairs, you can explicitly call the :meth:"
"`~dict.values` or :meth:`~dict.items` methods to get an appropriate iterator."
msgstr ""
#: ../../howto/functional.rst:300
msgid ""
"The :func:`dict` constructor can accept an iterator that returns a finite "
"stream of ``(key, value)`` tuples:"
msgstr ""
#: ../../howto/functional.rst:307
msgid ""
"Files also support iteration by calling the :meth:`~io.TextIOBase.readline` "
"method until there are no more lines in the file. This means you can read "
"each line of a file like this::"
msgstr ""
#: ../../howto/functional.rst:311
msgid ""
"for line in file:\n"
" # do something for each line\n"
" ..."
msgstr ""
#: ../../howto/functional.rst:315
msgid ""
"Sets can take their contents from an iterable and let you iterate over the "
"set's elements::"
msgstr ""
#: ../../howto/functional.rst:318
msgid ""
">>> S = {2, 3, 5, 7, 11, 13}\n"
">>> for i in S:\n"
"... print(i)\n"
"2\n"
"3\n"
"5\n"
"7\n"
"11\n"
"13"
msgstr ""
">>> S = {2, 3, 5, 7, 11, 13}\n"
">>> for i in S:\n"
"... print(i)\n"
"2\n"
"3\n"
"5\n"
"7\n"
"11\n"
"13"
#: ../../howto/functional.rst:331
msgid "Generator expressions and list comprehensions"
msgstr ""
#: ../../howto/functional.rst:333
msgid ""
"Two common operations on an iterator's output are 1) performing some "
"operation for every element, 2) selecting a subset of elements that meet "
"some condition. For example, given a list of strings, you might want to "
"strip off trailing whitespace from each line or extract all the strings "
"containing a given substring."
msgstr ""
#: ../../howto/functional.rst:339
msgid ""
"List comprehensions and generator expressions (short form: \"listcomps\" and "
"\"genexps\") are a concise notation for such operations, borrowed from the "
"functional programming language Haskell (https://www.haskell.org/). You can "
"strip all the whitespace from a stream of strings with the following code::"
msgstr ""
#: ../../howto/functional.rst:344
msgid ""
">>> line_list = [' line 1\\n', 'line 2 \\n', ' \\n', '']\n"
"\n"
">>> # Generator expression -- returns iterator\n"
">>> stripped_iter = (line.strip() for line in line_list)\n"
"\n"
">>> # List comprehension -- returns list\n"
">>> stripped_list = [line.strip() for line in line_list]"
msgstr ""
#: ../../howto/functional.rst:352
msgid ""
"You can select only certain elements by adding an ``\"if\"`` condition::"
msgstr ""
#: ../../howto/functional.rst:354
msgid ""
">>> stripped_list = [line.strip() for line in line_list\n"
"... if line != \"\"]"
msgstr ""
">>> stripped_list = [line.strip() for line in line_list\n"
"... if line != \"\"]"
#: ../../howto/functional.rst:357
msgid ""
"With a list comprehension, you get back a Python list; ``stripped_list`` is "
"a list containing the resulting lines, not an iterator. Generator "
"expressions return an iterator that computes the values as necessary, not "
"needing to materialize all the values at once. This means that list "
"comprehensions aren't useful if you're working with iterators that return an "
"infinite stream or a very large amount of data. Generator expressions are "
"preferable in these situations."
msgstr ""
#: ../../howto/functional.rst:364
msgid ""
"Generator expressions are surrounded by parentheses (\"()\") and list "
"comprehensions are surrounded by square brackets (\"[]\"). Generator "
"expressions have the form::"
msgstr ""
#: ../../howto/functional.rst:368
msgid ""
"( expression for expr in sequence1\n"
" if condition1\n"
" for expr2 in sequence2\n"
" if condition2\n"
" for expr3 in sequence3\n"
" ...\n"
" if condition3\n"
" for exprN in sequenceN\n"
" if conditionN )"
msgstr ""
"( expression for expr in sequence1\n"
" if condition1\n"
" for expr2 in sequence2\n"
" if condition2\n"
" for expr3 in sequence3\n"
" ...\n"
" if condition3\n"
" for exprN in sequenceN\n"
" if conditionN )"
#: ../../howto/functional.rst:378
msgid ""
"Again, for a list comprehension only the outside brackets are different "
"(square brackets instead of parentheses)."
msgstr ""
#: ../../howto/functional.rst:381
msgid ""
"The elements of the generated output will be the successive values of "
"``expression``. The ``if`` clauses are all optional; if present, "
"``expression`` is only evaluated and added to the result when ``condition`` "
"is true."
msgstr ""
#: ../../howto/functional.rst:385
msgid ""
"Generator expressions always have to be written inside parentheses, but the "
"parentheses signalling a function call also count. If you want to create an "
"iterator that will be immediately passed to a function you can write::"
msgstr ""
#: ../../howto/functional.rst:389
msgid "obj_total = sum(obj.count for obj in list_all_objects())"
msgstr "obj_total = sum(obj.count for obj in list_all_objects())"
#: ../../howto/functional.rst:391
msgid ""
"The ``for...in`` clauses contain the sequences to be iterated over. The "
"sequences do not have to be the same length, because they are iterated over "
"from left to right, **not** in parallel. For each element in ``sequence1``, "
"``sequence2`` is looped over from the beginning. ``sequence3`` is then "
"looped over for each resulting pair of elements from ``sequence1`` and "
"``sequence2``."
msgstr ""
#: ../../howto/functional.rst:397
msgid ""
"To put it another way, a list comprehension or generator expression is "
"equivalent to the following Python code::"
msgstr ""
#: ../../howto/functional.rst:400
msgid ""
"for expr1 in sequence1:\n"
" if not (condition1):\n"
" continue # Skip this element\n"
" for expr2 in sequence2:\n"
" if not (condition2):\n"
" continue # Skip this element\n"
" ...\n"
" for exprN in sequenceN:\n"
" if not (conditionN):\n"
" continue # Skip this element\n"
"\n"
" # Output the value of\n"
" # the expression."
msgstr ""
#: ../../howto/functional.rst:414
msgid ""
"This means that when there are multiple ``for...in`` clauses but no ``if`` "
"clauses, the length of the resulting output will be equal to the product of "
"the lengths of all the sequences. If you have two lists of length 3, the "
"output list is 9 elements long:"
msgstr ""
#: ../../howto/functional.rst:426
msgid ""
"To avoid introducing an ambiguity into Python's grammar, if ``expression`` "
"is creating a tuple, it must be surrounded with parentheses. The first list "
"comprehension below is a syntax error, while the second one is correct::"
msgstr ""
#: ../../howto/functional.rst:430
msgid ""
"# Syntax error\n"
"[x, y for x in seq1 for y in seq2]\n"
"# Correct\n"
"[(x, y) for x in seq1 for y in seq2]"
msgstr ""
"# 語法錯誤\n"
"[x, y for x in seq1 for y in seq2]\n"
"# 正確\n"
"[(x, y) for x in seq1 for y in seq2]"
#: ../../howto/functional.rst:437
msgid "Generators"
msgstr ""
#: ../../howto/functional.rst:439
msgid ""
"Generators are a special class of functions that simplify the task of "
"writing iterators. Regular functions compute a value and return it, but "
"generators return an iterator that returns a stream of values."
msgstr ""
#: ../../howto/functional.rst:443
msgid ""
"You're doubtless familiar with how regular function calls work in Python or "
"C. When you call a function, it gets a private namespace where its local "
"variables are created. When the function reaches a ``return`` statement, "
"the local variables are destroyed and the value is returned to the caller. "
"A later call to the same function creates a new private namespace and a "
"fresh set of local variables. But, what if the local variables weren't "
"thrown away on exiting a function? What if you could later resume the "
"function where it left off? This is what generators provide; they can be "
"thought of as resumable functions."
msgstr ""
#: ../../howto/functional.rst:452
msgid "Here's the simplest example of a generator function:"
msgstr ""
#: ../../howto/functional.rst:458
msgid ""
"Any function containing a :keyword:`yield` keyword is a generator function; "
"this is detected by Python's :term:`bytecode` compiler which compiles the "
"function specially as a result."
msgstr ""
#: ../../howto/functional.rst:462
msgid ""
"When you call a generator function, it doesn't return a single value; "
"instead it returns a generator object that supports the iterator protocol. "
"On executing the ``yield`` expression, the generator outputs the value of "
"``i``, similar to a ``return`` statement. The big difference between "
"``yield`` and a ``return`` statement is that on reaching a ``yield`` the "
"generator's state of execution is suspended and local variables are "
"preserved. On the next call to the generator's :meth:`~generator.__next__` "
"method, the function will resume executing."
msgstr ""
#: ../../howto/functional.rst:471
msgid "Here's a sample usage of the ``generate_ints()`` generator:"
msgstr ""
#: ../../howto/functional.rst:488
msgid ""
"You could equally write ``for i in generate_ints(5)``, or ``a, b, c = "
"generate_ints(3)``."
msgstr ""
#: ../../howto/functional.rst:491
msgid ""
"Inside a generator function, ``return value`` causes "
"``StopIteration(value)`` to be raised from the :meth:`~generator.__next__` "
"method. Once this happens, or the bottom of the function is reached, the "
"procession of values ends and the generator cannot yield any further values."
msgstr ""
#: ../../howto/functional.rst:496
msgid ""
"You could achieve the effect of generators manually by writing your own "
"class and storing all the local variables of the generator as instance "
"variables. For example, returning a list of integers could be done by "
"setting ``self.count`` to 0, and having the :meth:`~iterator.__next__` "
"method increment ``self.count`` and return it. However, for a moderately "
"complicated generator, writing a corresponding class can be much messier."
msgstr ""
#: ../../howto/functional.rst:504
msgid ""
"The test suite included with Python's library, :source:`Lib/test/"
"test_generators.py`, contains a number of more interesting examples. Here's "
"one generator that implements an in-order traversal of a tree using "
"generators recursively. ::"
msgstr ""
#: ../../howto/functional.rst:509
msgid ""
"# A recursive generator that generates Tree leaves in in-order.\n"
"def inorder(t):\n"
" if t:\n"
" for x in inorder(t.left):\n"
" yield x\n"
"\n"
" yield t.label\n"
"\n"
" for x in inorder(t.right):\n"
" yield x"
msgstr ""
#: ../../howto/functional.rst:520
msgid ""
"Two other examples in ``test_generators.py`` produce solutions for the N-"
"Queens problem (placing N queens on an NxN chess board so that no queen "
"threatens another) and the Knight's Tour (finding a route that takes a "
"knight to every square of an NxN chessboard without visiting any square "
"twice)."
msgstr ""
#: ../../howto/functional.rst:528
msgid "Passing values into a generator"
msgstr ""
#: ../../howto/functional.rst:530
msgid ""
"In Python 2.4 and earlier, generators only produced output. Once a "
"generator's code was invoked to create an iterator, there was no way to pass "
"any new information into the function when its execution is resumed. You "
"could hack together this ability by making the generator look at a global "
"variable or by passing in some mutable object that callers then modify, but "
"these approaches are messy."
msgstr ""
#: ../../howto/functional.rst:537
msgid ""
"In Python 2.5 there's a simple way to pass values into a generator. :keyword:"
"`yield` became an expression, returning a value that can be assigned to a "
"variable or otherwise operated on::"
msgstr ""
#: ../../howto/functional.rst:541
msgid "val = (yield i)"
msgstr "val = (yield i)"
#: ../../howto/functional.rst:543
msgid ""
"I recommend that you **always** put parentheses around a ``yield`` "
"expression when you're doing something with the returned value, as in the "
"above example. The parentheses aren't always necessary, but it's easier to "
"always add them instead of having to remember when they're needed."
msgstr ""
#: ../../howto/functional.rst:548
msgid ""
"(:pep:`342` explains the exact rules, which are that a ``yield``-expression "
"must always be parenthesized except when it occurs at the top-level "
"expression on the right-hand side of an assignment. This means you can "
"write ``val = yield i`` but have to use parentheses when there's an "
"operation, as in ``val = (yield i) + 12``.)"
msgstr ""
#: ../../howto/functional.rst:554
msgid ""
"Values are sent into a generator by calling its :meth:`send(value) "
"<generator.send>` method. This method resumes the generator's code and the "
"``yield`` expression returns the specified value. If the regular :meth:"
"`~generator.__next__` method is called, the ``yield`` returns ``None``."
msgstr ""
#: ../../howto/functional.rst:559
msgid ""
"Here's a simple counter that increments by 1 and allows changing the value "
"of the internal counter."
msgstr ""
#: ../../howto/functional.rst:562
msgid ""
"def counter(maximum):\n"
" i = 0\n"
" while i < maximum:\n"
" val = (yield i)\n"
" # If value provided, change counter\n"
" if val is not None:\n"
" i = val\n"
" else:\n"
" i += 1"
msgstr ""
#: ../../howto/functional.rst:574
msgid "And here's an example of changing the counter:"
msgstr ""
#: ../../howto/functional.rst:591
msgid ""
"Because ``yield`` will often be returning ``None``, you should always check "
"for this case. Don't just use its value in expressions unless you're sure "
"that the :meth:`~generator.send` method will be the only method used to "
"resume your generator function."
msgstr ""
#: ../../howto/functional.rst:596
msgid ""
"In addition to :meth:`~generator.send`, there are two other methods on "
"generators:"
msgstr ""
#: ../../howto/functional.rst:599
msgid ""
":meth:`throw(value) <generator.throw>` is used to raise an exception inside "
"the generator; the exception is raised by the ``yield`` expression where the "
"generator's execution is paused."
msgstr ""
#: ../../howto/functional.rst:603
msgid ""
":meth:`~generator.close` raises a :exc:`GeneratorExit` exception inside the "
"generator to terminate the iteration. On receiving this exception, the "
"generator's code must either raise :exc:`GeneratorExit` or :exc:"
"`StopIteration`; catching the exception and doing anything else is illegal "
"and will trigger a :exc:`RuntimeError`. :meth:`~generator.close` will also "
"be called by Python's garbage collector when the generator is garbage-"
"collected."
msgstr ""
#: ../../howto/functional.rst:611
msgid ""
"If you need to run cleanup code when a :exc:`GeneratorExit` occurs, I "
"suggest using a ``try: ... finally:`` suite instead of catching :exc:"
"`GeneratorExit`."
msgstr ""
#: ../../howto/functional.rst:614
msgid ""
"The cumulative effect of these changes is to turn generators from one-way "
"producers of information into both producers and consumers."
msgstr ""
#: ../../howto/functional.rst:617
msgid ""
"Generators also become **coroutines**, a more generalized form of "
"subroutines. Subroutines are entered at one point and exited at another "
"point (the top of the function, and a ``return`` statement), but coroutines "
"can be entered, exited, and resumed at many different points (the ``yield`` "
"statements)."
msgstr ""
#: ../../howto/functional.rst:624
msgid "Built-in functions"
msgstr "內建函式"
#: ../../howto/functional.rst:626
msgid ""
"Let's look in more detail at built-in functions often used with iterators."
msgstr ""
#: ../../howto/functional.rst:628
msgid ""
"Two of Python's built-in functions, :func:`map` and :func:`filter` duplicate "
"the features of generator expressions:"
msgstr ""
#: ../../howto/functional.rst:631
msgid ""
":func:`map(f, iterA, iterB, ...) <map>` returns an iterator over the sequence"
msgstr ""
#: ../../howto/functional.rst:632
msgid ""
"``f(iterA[0], iterB[0]), f(iterA[1], iterB[1]), f(iterA[2], iterB[2]), ...``."
msgstr ""
#: ../../howto/functional.rst:642
msgid "You can of course achieve the same effect with a list comprehension."
msgstr ""
#: ../../howto/functional.rst:644
msgid ""
":func:`filter(predicate, iter) <filter>` returns an iterator over all the "
"sequence elements that meet a certain condition, and is similarly duplicated "
"by list comprehensions. A **predicate** is a function that returns the "
"truth value of some condition; for use with :func:`filter`, the predicate "
"must take a single value."
msgstr ""
#: ../../howto/functional.rst:657
msgid "This can also be written as a list comprehension:"
msgstr ""
#: ../../howto/functional.rst:663
msgid ""
":func:`enumerate(iter, start=0) <enumerate>` counts off the elements in the "
"iterable returning 2-tuples containing the count (from *start*) and each "
"element. ::"
msgstr ""
#: ../../howto/functional.rst:667
msgid ""
">>> for item in enumerate(['subject', 'verb', 'object']):\n"
"... print(item)\n"
"(0, 'subject')\n"
"(1, 'verb')\n"
"(2, 'object')"
msgstr ""
">>> for item in enumerate(['subject', 'verb', 'object']):\n"
"... print(item)\n"
"(0, 'subject')\n"
"(1, 'verb')\n"
"(2, 'object')"
#: ../../howto/functional.rst:673
msgid ""
":func:`enumerate` is often used when looping through a list and recording "
"the indexes at which certain conditions are met::"
msgstr ""
#: ../../howto/functional.rst:676
msgid ""
"f = open('data.txt', 'r')\n"
"for i, line in enumerate(f):\n"
" if line.strip() == '':\n"
" print('Blank line at line #%i' % i)"
msgstr ""
"f = open('data.txt', 'r')\n"
"for i, line in enumerate(f):\n"
" if line.strip() == '':\n"
" print('Blank line at line #%i' % i)"
#: ../../howto/functional.rst:681
msgid ""
":func:`sorted(iterable, key=None, reverse=False) <sorted>` collects all the "
"elements of the iterable into a list, sorts the list, and returns the sorted "
"result. The *key* and *reverse* arguments are passed through to the "
"constructed list's :meth:`~list.sort` method. ::"
msgstr ""
#: ../../howto/functional.rst:686
msgid ""
">>> import random\n"
">>> # Generate 8 random numbers between [0, 10000)\n"
">>> rand_list = random.sample(range(10000), 8)\n"
">>> rand_list \n"
"[769, 7953, 9828, 6431, 8442, 9878, 6213, 2207]\n"
">>> sorted(rand_list) \n"
"[769, 2207, 6213, 6431, 7953, 8442, 9828, 9878]\n"
">>> sorted(rand_list, reverse=True) \n"