Skip to content
Projeler
Gruplar
Parçacıklar
Yardım
Yükleniyor...
Oturum aç / Kaydol
Gezinmeyi değiştir
C
cpython
Proje
Proje
Ayrıntılar
Etkinlik
Cycle Analytics
Depo (repository)
Depo (repository)
Dosyalar
Kayıtlar (commit)
Dallar (branch)
Etiketler
Katkıda bulunanlar
Grafik
Karşılaştır
Grafikler
Konular (issue)
0
Konular (issue)
0
Liste
Pano
Etiketler
Kilometre Taşları
Birleştirme (merge) Talepleri
0
Birleştirme (merge) Talepleri
0
CI / CD
CI / CD
İş akışları (pipeline)
İşler
Zamanlamalar
Grafikler
Paketler
Paketler
Wiki
Wiki
Parçacıklar
Parçacıklar
Üyeler
Üyeler
Collapse sidebar
Close sidebar
Etkinlik
Grafik
Grafikler
Yeni bir konu (issue) oluştur
İşler
Kayıtlar (commit)
Konu (issue) Panoları
Kenar çubuğunu aç
Batuhan Osman TASKAYA
cpython
Commits
90540558
Kaydet (Commit)
90540558
authored
Eki 12, 2012
tarafından
Ezio Melotti
Dosyalara gözat
Seçenekler
Dosyalara Gözat
İndir
Sade Fark
Merge doctest fixes in functional howto with 3.3.
üst
811bd98e
eb818193
Show whitespace changes
Inline
Side-by-side
Showing
1 changed file
with
18 additions
and
27 deletions
+18
-27
functional.rst
Doc/howto/functional.rst
+18
-27
No files found.
Doc/howto/functional.rst
Dosyayı görüntüle @
90540558
...
...
@@ -198,7 +198,7 @@ You can experiment with the iteration interface manually:
>>> L = [1,2,3]
>>> it = iter(L)
>>> it
>>> it
#doctest: +ELLIPSIS
<...iterator object at ...>
>>> it.__next__() # same as next(it)
1
...
...
@@ -267,15 +267,11 @@ sequence type, such as strings, will automatically support creation of an
iterator.
Calling :func:`iter` on a dictionary returns an iterator that will loop over the
dictionary's keys:
.. not a doctest since dict ordering varies across Pythons
::
dictionary's keys::
>>> m = {'Jan': 1, 'Feb': 2, 'Mar': 3, 'Apr': 4, 'May': 5, 'Jun': 6,
... 'Jul': 7, 'Aug': 8, 'Sep': 9, 'Oct': 10, 'Nov': 11, 'Dec': 12}
>>> for key in m:
>>> for key in m:
#doctest: +SKIP
... print(key, m[key])
Mar 3
Feb 2
...
...
@@ -303,7 +299,7 @@ The :func:`dict` constructor can accept an iterator that returns a finite stream
of ``(key, value)`` tuples:
>>> L = [('Italy', 'Rome'), ('France', 'Paris'), ('US', 'Washington DC')]
>>> dict(iter(L))
>>> dict(iter(L))
#doctest: +SKIP
{'Italy': 'Rome', 'US': 'Washington DC', 'France': 'Paris'}
Files also support iteration by calling the :meth:`~io.TextIOBase.readline`
...
...
@@ -411,12 +407,9 @@ 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:
.. doctest::
:options: +NORMALIZE_WHITESPACE
>>> seq1 = 'abc'
>>> seq2 = (1,2,3)
>>> [(x, y) for x in seq1 for y in seq2]
>>> [(x, y) for x in seq1 for y in seq2]
#doctest: +NORMALIZE_WHITESPACE
[('a', 1), ('a', 2), ('a', 3),
('b', 1), ('b', 2), ('b', 3),
('c', 1), ('c', 2), ('c', 3)]
...
...
@@ -449,11 +442,9 @@ is what generators provide; they can be thought of as resumable functions.
Here's the simplest example of a generator function:
.. testcode::
def generate_ints(N):
for i in range(N):
yield i
>>> def generate_ints(N):
... for i in range(N):
... yield i
Any function containing a :keyword:`yield` keyword is a generator function;
this is detected by Python's :term:`bytecode` compiler which compiles the
...
...
@@ -471,7 +462,7 @@ executing.
Here's a sample usage of the ``generate_ints()`` generator:
>>> gen = generate_ints(3)
>>> gen
>>> gen
#doctest: +ELLIPSIS
<generator object generate_ints at ...>
>>> next(gen)
0
...
...
@@ -576,16 +567,16 @@ the internal counter.
And here's an example of changing the counter:
>>> it = counter(10)
>>> next(it)
>>> it = counter(10)
#doctest: +SKIP
>>> next(it)
#doctest: +SKIP
0
>>> next(it)
>>> next(it)
#doctest: +SKIP
1
>>> it.send(8)
>>> it.send(8)
#doctest: +SKIP
8
>>> next(it)
>>> next(it)
#doctest: +SKIP
9
>>> next(it)
>>> next(it)
#doctest: +SKIP
Traceback (most recent call last):
File "t.py", line 15, in ?
it.next()
...
...
@@ -688,11 +679,11 @@ constructed list's :meth:`~list.sort` method. ::
>>> import random
>>> # Generate 8 random numbers between [0, 10000)
>>> rand_list = random.sample(range(10000), 8)
>>> rand_list
>>> rand_list
#doctest: +SKIP
[769, 7953, 9828, 6431, 8442, 9878, 6213, 2207]
>>> sorted(rand_list)
>>> sorted(rand_list)
#doctest: +SKIP
[769, 2207, 6213, 6431, 7953, 8442, 9828, 9878]
>>> sorted(rand_list, reverse=True)
>>> sorted(rand_list, reverse=True)
#doctest: +SKIP
[9878, 9828, 8442, 7953, 6431, 6213, 2207, 769]
(For a more detailed discussion of sorting, see the :ref:`sortinghowto`.)
...
...
Write
Preview
Markdown
is supported
0%
Try again
or
attach a new file
Attach a file
Cancel
You are about to add
0
people
to the discussion. Proceed with caution.
Finish editing this message first!
Cancel
Please
register
or
sign in
to comment