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.. pydu documentation master file, created by
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sphinx-quickstart on Fri Oct 6 23:05:59 2017.
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You can adapt this file completely to your liking, but it should at least
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contain the root `toctree` directive.
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2017-10-06 15:59:14 +00:00
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pydu documentation
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2017-10-06 15:45:29 +00:00
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===================
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About
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-----
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2017-10-10 17:07:18 +00:00
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**pydu** (python data structures and utils) is a library for Python 2 and 3.
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It is collected from open source projects and created by contributors.
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It is with Python versions from **2.7 to 3.6**.
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The pydu documentation you're reading is distributed as a single HTML page.
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2017-10-28 15:03:14 +00:00
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Content
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===============
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2017-10-29 13:21:18 +00:00
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Archive
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-------
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.. function:: pydu.archive.extract(path, to_path='', ext='')
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Unpack the tar or zip file at the specified path or file to the directory
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specified by ``to_path``. It supports many extensions, like ``.tar``,
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``.tar.bz2``, ``.tar.gz``, ``.tgz``, ``.tz2``, ``.zip``. If the file name of
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given ``path`` doesn't contain file extension, the ``ext`` parameter can be
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specified one of supported extensions to indicate file type.
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>>> from pydu.archive import extract
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>>> extract('foobar.tgz', '/tmp')
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>>> extract('foobar', '/tmp', ext='.tgz')
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>>> extract('foobar', '/tmp')
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Traceback (most recent call last):
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... AttributeError: pydu.archive.UnrecognizedArchiveFormat: Path not a recognized archive format: foobar
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Dict
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----
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.. class:: pydu.dict.AttrDict(seq=None, **kwargs)
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A AttrDict object is like a dictionary except ``obj.foo`` can be used
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in addition to ``obj['foo']``.
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>>> from pydu.dict import AttrDict
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>>> o = AttrDict(a=1)
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o.a
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1
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>>> o['a']
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1
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>>> o.a = 2
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>>> o['a']
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2
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>>> del o.a
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>>> o.a
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Traceback (most recent call last):
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... AttributeError: 'a'
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.. class:: pydu.dict.CaseInsensitiveDict(data=None, **kwargs)
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A case-insensitive ``dict``-like object.
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Implements all methods and operations of ``collections.MutableMapping``
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as well as dict's ``copy``. Also provides ``lower_items``.
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All keys are expected to be strings. The structure remembers the
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case of the last key to be set, and ``iter(instance)``, ``keys()``,
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``items()``, ``iterkeys()``, and ``iteritems()`` will contain
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case-sensitive keys.
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>>> from pydu.dict import CaseInsensitiveDict
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>>> cid = CaseInsensitiveDict()
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>>> cid['Accept'] = 'application/json'
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>>> cid['aCCEPT'] == 'application/json'
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True
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>>> list(cid) == ['Accept']
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True
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.. class:: pydu.dict.LookupDict(name=None)
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Dictionary lookup object.
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>>> from pydu.dict import LookupDict
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>>> d = LookupDict()
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>>> d['key']
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None
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>>> d['key'] = 1
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>>> d['key']
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1
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.. function:: pydu.dict.attrify(obj)
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Attrify obj into ``AttriDict`` or ``list of AttriDict`` if the obj is list.
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>>> from pydu.dict import attrify
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>>> attrd = attrify({
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'a': [1, 2, {'b': 'b'}],
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'c': 'c',
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})
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>>> attrd
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<AttrDict {'a': [1, 2, <AttrDict {'b': 'b'}>], 'c': 'c'}>
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>>> attrd.a
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1
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>>> attrd.a[2].b
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b
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>>> attrd.c
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c
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Set
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----
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.. class:: pydu.set.OrderedSet(iterable=None)
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A set which keeps the ordering of the inserted items.
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>>> from pydu.set import OrderedSet
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>>> s = OrderedSet([1, 3, 1, 2])
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>>> list(s)
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[1, 3, 2]
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>>> s.discard(3)
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>>> list(s)
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[1, 2]
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String
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------
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.. function:: pydu.string.safeunicode(obj, encoding='utf-8')
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Converts any given object to unicode string.
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>>> from pydu.string import safeunicode
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>>> safeunicode('hello')
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u'hello'
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>>> safeunicode(2)
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u'2'
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>>> safeunicode('\xe4\xb8\xad\xe6\x96\x87')
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u'中文'
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.. function:: pydu.string.lstrips(text, remove)
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Removes the string ``remove`` from the left of ``text``.
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>>> from pydu.string import lstrips
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>>> lstrips('foobar', 'foo')
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'bar'
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>>> lstrips('FOOBARBAZ', ['FOO', 'BAR'])
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'BAZ'
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>>> lstrips('FOOBARBAZ', ['BAR', 'FOO'])
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'BARBAZ'
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.. function:: pydu.string.rstrips(text, remove)
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Removes the string ``remove`` from the right of ``text``.
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>>> from pydu.string import rstrips
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>>> rstrips('foobar', 'bar')
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'foo'
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.. function:: pydu.string.strips(text, remove)
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Removes the string ``remove`` from the both sides of ``text``.
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>>> from pydu.string import strips
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>>> strips('foobarfoo', 'foo')
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'bar'
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Miscellanea
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-----------
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.. function:: pydu.unix_timeout(seconds)
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This func decorates any func which may be hang for a while. The param ``seconds``
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should be integer. ``unix_timeout`` can only be used on ``unix-like`` system.
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In `test.py`, you may write like below:
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.. code-block:: python
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import time
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from pydu.misc import unix_timeout
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@unix_timeout(1)
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def f():
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time.sleep(1.01)
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f()
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Ant run `test.py`, will see ``TimeoutError``.
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.. function:: pydu.trace(obj)
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Tracing every statement and line number for running program, like ``bash -x``.
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In `test.py`, you may write like below:
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.. code-block:: python
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from pydu import trace
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@trace
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def f():
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print(1)
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a = 1 + 5
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b = [a]
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print(2)
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f()
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Ant run `test.py`, will see below output from console:
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.. code-block:: console
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test.py(4): print(1)
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1
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test.py(5): a = 1 + 5
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test.py(6): b = [a]
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test.py(7): print(2)
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2
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