[svn r63529] remove idea here for a new "fs" namespace.
1.0.0 release announce draft some fixes and streamlines here and there. --HG-- branch : trunk
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@ -92,7 +92,7 @@ pygments_style = 'sphinx'
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# The theme to use for HTML and HTML Help pages. Major themes that come with
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# Sphinx are currently 'default' and 'sphinxdoc'.
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html_theme = 'default'
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html_theme = 'basic'
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# Theme options are theme-specific and customize the look and feel of a theme
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# further. For a list of options available for each theme, see the
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@ -1,79 +0,0 @@
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Let's do a walk through a memory filesystem.
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.. >>> import py
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working with directories
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---------------------------------
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Let's create some directories and list them from memory::
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>>> fs = py.fs.MemoryFS()
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>>> fs.mkdir("x")
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>>> fs.mkdir("y")
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>>> fs.listdir()
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['x', 'y']
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Creating, removing and reading files
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---------------------------------------------
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>>> f = fs.open('x/file', 'w')
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>>> f.write("hello world")
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>>> f.close()
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>>> fs.listdir("x")
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['file']
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>>> f = fs.open("x/file", 'r')
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>>> f.readlines()
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['hello world']
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>>> f.seek(6)
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>>> f.read(3)
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"wor"
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>>> f.read()
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"ld"
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>>> f.close()
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>>> fs.remove("y")
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>>> fs.listdir()
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['x']
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>>> fs.remove("non-existent")
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py.error.ENOENT
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stat / checking for meta information
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---------------------------------------
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>>> stat = memory.stat("x")
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>>> stat.isdir()
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True
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>>> stat.isfile()
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False
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>>> stat.exists()
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True
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>>> stat.islink()
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False
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Linking to other objects
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--------------------------------------------------------
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First an example how to link internally, i.e. within the
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filesystem.
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>>> fs.link("newitem", "x")
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>>> fs.stat("newitem").islink()
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True
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>>> fs.stat("newitem").isfile()
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True
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>>> fs.remove("newitem") # only deletes the link itself
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>>> fs.stat("x").exists()
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cross-filesystem references
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---------------------------------
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>>> otherfs = py.fs.MemoryFS()
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XXX
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>>> fs.setproxy("newitem", otherfs, "otheritem")
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>>> fs.stat("newitem").exists()
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False
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>>> otherfs.mkdir("otheritem")
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@ -2,7 +2,6 @@
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py.path
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=======
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The 'py' lib provides a uniform high-level api to deal with filesystems
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and filesystem-like interfaces: :api:`py.path`. It aims to offer a central
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object to fs-like object trees (reading from and writing to files, adding
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@ -1,31 +1,24 @@
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py lib 0.9.0: py.test, distributed execution, greenlets and more
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======================================================================
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py lib 1.0.0: distributed testing and dynamic code deployment
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===============================================================
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Welcome to the 0.9.0 py lib release - a library aiming to
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support agile and test-driven python development on various levels.
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XXX draft
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Welcome to the 1.0.0 py lib release - a python library aiming
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to support agile and test-driven development.
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It passes tests against Linux, OSX and Win32, on Python
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2.3, 2.4, 2.5 and 2.6.
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Main API/Tool Features:
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* py.test: cross-project testing tool with many advanced features
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* py.execnet: ad-hoc code distribution to SSH, Socket and local sub processes
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* py.magic.greenlet: micro-threads on standard CPython ("stackless-light")
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* py.code: support for dynamically running and debugging python code
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* py.path: path abstractions over local and subversion files
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* rich documentation of py's exported API
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* tested against Linux, OSX and partly against Win32, python 2.3-2.5
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All these features and their API have extensive documentation,
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generated with the new "apigen", which we intend to make accessible
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for other python projects as well.
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Download/Install: http://codespeak.net/py/1.0.0/download.html
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Documentation/API: http://codespeak.net/py/1.0.0/index.html
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Download/Install: http://codespeak.net/py/0.9.0/download.html
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Documentation/API: http://codespeak.net/py/0.9.0/index.html
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Work on the py lib has been partially funded by the
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European Union IST programme and by http://merlinux.de
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within the PyPy project.
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best, have fun and let us know what you think!
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holger krekel, Maciej Fijalkowski,
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Guido Wesdorp, Carl Friedrich Bolz
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best,
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holger
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@ -2,12 +2,10 @@
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py.test
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=======
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*py.test* is a tool for:
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* rapidly writing unit- and functional tests in Python
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* writing tests for non-python code and data
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* receiving useful reports on test failures
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* distributing tests to multiple CPUs and remote environments
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* rapidly collect and run tests
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* use unit- or doctests, functional or integration tests
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* distribute tests to multiple environments
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* local or global plugins for custom test types
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quickstart_: for getting started immediately.
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