Merging in ipython-ipython1b branch. This branch was used to merge in the docs from ipython1-dev,

as well as the stuff from the ipython1-sconfig branch.  In addition to simply merging the docs
from ipython1-dev, I have completely reorganized the docs to make the easier to read and write.

COPYING.txt

@@ -0,0 +1,77 b''
+IPython is licensed under the terms of the new or revised BSD license, as follows:
+
+Copyright (c) 2008, IPython Development Team
+
+All rights reserved.
+
+Redistribution and use in source and binary forms, with or without modification,
+are permitted provided that the following conditions are met:
+
+Redistributions of source code must retain the above copyright notice, this list of
+conditions and the following disclaimer.
+
+Redistributions in binary form must reproduce the above copyright notice, this list
+of conditions and the following disclaimer in the documentation and/or other
+materials provided with the distribution.
+
+Neither the name of the IPython Development Team nor the names of its contributors
+may be used to endorse or promote products derived from this software without
+specific prior written permission.
+
+THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY
+EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
+WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED.
+IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT,
+INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT
+NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR
+PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY,
+WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)
+ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE
+POSSIBILITY OF SUCH DAMAGE.
+
+About the IPython Development Team
+----------------------------------
+
+Fernando Perez began IPython in 2001 based on code from Janko Hauser <[e-mail]> 
+and Nathaniel Gray <[e-mail]>.  Fernando is still the project lead.
+
+The IPython Development Team is the set of all contributors to the IPython project.
+This includes all of the IPython subprojects. Here is a list of the currently active contributors:
+
+	* Matthieu Brucher
+	* Ondrej Certik
+	* Laurent Dufrechou
+	* Robert Kern
+	* Brian E. Granger
+	* Fernando Perez (project leader)
+	* Benjamin Ragan-Kelley
+	* Ville M. Vainio
+	* Gael Varoququx
+	* Stefan van der Walt
+	* Tech-X Corporation
+	* Barry Wark
+
+If your name is missing, please add it.  
+
+Our Copyright Policy
+--------------------
+
+IPython uses a shared copyright model. Each contributor maintains copyright over
+their contributions to IPython. But, it is important to note that these
+contributions are typically only changes to the repositories. Thus, the IPython
+source code, in its entirety is not the copyright of any single person or
+institution. Instead, it is the collective copyright of the entire IPython
+Development Team. If individual contributors want to maintain a record of what
+changes/contributions they have specific copyright on, they should indicate their
+copyright in the commit message of the change, when they commit the change to
+one of the IPython repositories.
+
+With this in mind, the following banner should be used in any source code file to 
+indicate the copyright and license terms:
+
+#-------------------------------------------------------------------------------
+#  Copyright (C) 2008  The IPython Development Team
+#
+#  Distributed under the terms of the BSD License.  The full license is in
+#  the file COPYING, distributed as part of this software.
+#-------------------------------------------------------------------------------
  No newline at end of file

IPython/config/config.py

@@ -0,0 +1,179 b''
+"""Load and store configuration objects.
+
+Test this module using
+
+nosetests -v --with-doctest --doctest-tests IPython.config
+
+"""
+
+from __future__ import with_statement
+from contextlib import contextmanager
+
+import inspect
+import types
+from IPython.config import traitlets
+from traitlets import Traitlet
+from IPython.external.configobj import ConfigObj
+
+def debug(s):
+    import sys
+    sys.stderr.write(str(s) + '\n')
+
+@contextmanager
+def raw(config):
+    """Context manager for accessing traitlets directly.
+
+    """
+    config.__getattribute__('',raw_access=True)
+    yield config
+    config.__getattribute__('',raw_access=False)
+
+class Config(object):
+    """
+    Implementation Notes
+    ====================
+    All instances of the same Config class share properties.  Therefore,
+
+    >>> class Sample(Config):
+    ...     my_float = traitlets.Float(3)
+
+    >>> s0 = Sample()
+    >>> s1 = Sample()
+    >>> s0.my_float = 5
+    >>> s0.my_float == s1.my_float
+    True
+
+    """
+    def __init__(self):
+        # Instantiate subconfigs
+        with raw(self):
+            subconfigs = [(n,v) for n,v in
+                          inspect.getmembers(self, inspect.isclass)
+                          if not n.startswith('__')]
+
+        for n,v in subconfigs:
+            setattr(self, n, v())
+
+    def __getattribute__(self,attr,raw_access=None,
+                         _ns={'raw_access':False}):
+        if raw_access is not None:
+            _ns['raw_access'] = raw_access
+            return
+
+        obj = object.__getattribute__(self,attr)
+        if isinstance(obj,Traitlet) and not _ns['raw_access']:
+            return obj.__call__()
+        else:
+            return obj
+
+    def __setattr__(self,attr,value):
+        obj = object.__getattribute__(self,attr)
+        if isinstance(obj,Traitlet):
+            obj(value)
+        else:
+            self.__dict__[attr] = value
+
+    def __str__(self,level=1,only_modified=True):
+        ci = ConfigInspector(self)
+        out = ''
+        spacer = '  '*(level-1)
+
+        # Add traitlet representations
+        for p,v in ci.properties:
+            if (v.modified and only_modified) or not only_modified:
+                out += spacer + '%s = %s\n' % (p,v)
+
+        # Add subconfig representations
+        for (n,v) in ci.subconfigs:
+            sub_str = v.__str__(level=level+1,only_modified=only_modified)
+            if sub_str:
+                out += '\n' + spacer + '[' * level + ('%s' % n) \
+                       + ']'*level + '\n'
+                out += sub_str
+
+        return out
+
+    def __iadd__(self,source):
+        """Load configuration from filename, and update self.
+
+        """
+        if not isinstance(source,dict):
+            source = ConfigObj(source, unrepr=True)
+        update_from_dict(self,source)
+        return self
+
+
+class ConfigInspector(object):
+    """Allow the inspection of Config objects.
+
+    """
+    def __init__(self,config):
+        self._config = config
+
+    @property
+    def properties(self):
+        "Return all traitlet names."
+        with raw(self._config):
+            return inspect.getmembers(self._config,
+                                      lambda obj: isinstance(obj, Traitlet))
+
+    @property
+    def subconfigs(self):
+        "Return all subconfig names and values."
+        with raw(self._config):
+            return [(n,v) for n,v in
+                    inspect.getmembers(self._config,
+                                       lambda obj: isinstance(obj,Config))
+                    if not n.startswith('__')]
+
+    def reset(self):
+        for (p,v) in self.properties:
+            v.reset()
+
+        for (s,v) in self.subconfigs:
+            ConfigInspector(v).reset()
+
+def update_from_dict(config,d):
+    """Propagate the values of the dictionary to the given configuration.
+
+    Useful to load configobj instances.
+
+    """
+    for k,v in d.items():
+        try:
+            prop_or_subconfig = getattr(config, k)
+        except AttributeError:
+            print "Invalid section/property in config file: %s" % k
+        else:
+            if isinstance(v,dict):
+                update_from_dict(prop_or_subconfig,v)
+            else:
+                setattr(config, k, v)
+
+def dict_from_config(config,only_modified=True):
+    """Create a dictionary from a Config object."""
+    ci = ConfigInspector(config)
+    out = {}
+
+    for p,v in ci.properties:
+        if (v.modified and only_modified) or not only_modified:
+            out[p] = v
+
+    for s,v in ci.subconfigs:
+        d = dict_from_config(v,only_modified)
+        if d != {}:
+            out[s] = d
+
+    return out
+
+def write(config, target):
+    """Write a configuration to file.
+
+    """
+    if isinstance(target, str):
+        target = open(target, 'w+')
+    target.flush()
+    target.seek(0)
+
+    confobj = ConfigObj(dict_from_config(config), unrepr=True)
+    confobj.write(target)

IPython/config/tests/sample_config.py

@@ -0,0 +1,19 b''
+from IPython.config.api import *
+
+class SubSubSample(Config):
+    my_int = Int(3)
+
+
+class Sample(Config):
+    my_float = Float(3)
+    my_choice = Enum('a','b','c')
+
+    class MiddleSection(Config):
+        left_alone = Enum('1','2','c')
+        unknown_mod = Module('asd')
+
+    class SubSample(Config):
+        subsample_uri = URI('http://localhost:8080')
+
+        # Example of how to include external config
+        SubSubSample = SubSubSample()

IPython/config/tests/test_config.py

@@ -0,0 +1,135 b''
+"""
+# Test utilities
+
+>>> import os
+
+>>> def dict_as_sorted_list(d):
+...     for k in d:
+...         if isinstance(d[k],dict):
+...             d[k] = dict_as_sorted_list(d[k])
+...     return sorted(d.items())
+
+>>> def pprint(d,level=0):
+...     if isinstance(d,dict):
+...         d = dict_as_sorted_list(d)
+...     for item,value in d:
+...         if isinstance(value,list):
+...             print "%s%s" % (' '*level, item)
+...             pprint(value,level+2)
+...         else:
+...             print "%s%s: %s" % (' '*level, item, value)
+
+
+# Tests
+
+>>> from IPython.config.api import *
+>>> from sample_config import *
+
+>>> s = Sample()
+>>> print s.my_float
+3.0
+>>> s.my_float = 4
+>>> print s.my_float
+4.0
+>>> print type(s.my_float)
+<type 'float'>
+>>> s.SubSample.SubSubSample.my_int = 5.0
+>>> print s.SubSample.SubSubSample.my_int
+5
+
+>>> i = ConfigInspector(s)
+>>> print i.properties
+[('my_choice', 'a'), ('my_float', 4.0)]
+>>> print tuple(s for s,v in i.subconfigs)
+('MiddleSection', 'SubSample')
+
+>>> print s
+my_float = 4.0
+<BLANKLINE>
+[SubSample]
+<BLANKLINE>
+  [[SubSubSample]]
+    my_int = 5
+<BLANKLINE>
+
+>>> import tempfile
+>>> fn = tempfile.mktemp()
+>>> f = open(fn,'w')
+>>> f.write(str(s))
+>>> f.close()
+
+>>> s += fn
+
+>>> from IPython.external.configobj import ConfigObj
+>>> c = ConfigObj(fn)
+>>> c['SubSample']['subsample_uri'] = 'http://ipython.scipy.org'
+
+>>> s += c
+>>> print s
+my_float = 4.0
+<BLANKLINE>
+[SubSample]
+  subsample_uri = 'http://ipython.scipy.org'
+<BLANKLINE>
+  [[SubSubSample]]
+    my_int = 5
+<BLANKLINE>
+
+>>> pprint(dict_from_config(s,only_modified=False))
+MiddleSection
+  left_alone: '1'
+  unknown_mod: 'asd'
+SubSample
+  SubSubSample
+    my_int: 5
+  subsample_uri: 'http://ipython.scipy.org'
+my_choice: 'a'
+my_float: 4.0
+
+>>> pprint(dict_from_config(s))
+SubSample
+  SubSubSample
+    my_int: 5
+  subsample_uri: 'http://ipython.scipy.org'
+my_float: 4.0
+
+Test roundtripping:
+
+>>> fn = tempfile.mktemp()
+>>> f = open(fn, 'w')
+>>> f.write('''
+... [MiddleSection]
+... # some comment here
+... left_alone = 'c'
+... ''')
+>>> f.close()
+
+>>> s += fn
+
+>>> pprint(dict_from_config(s))
+MiddleSection
+  left_alone: 'c'
+SubSample
+  SubSubSample
+    my_int: 5
+  subsample_uri: 'http://ipython.scipy.org'
+my_float: 4.0
+
+>>> write(s, fn)
+>>> f = file(fn,'r')
+>>> ConfigInspector(s).reset()
+>>> pprint(dict_from_config(s))
+
+>>> s += fn
+>>> os.unlink(fn)
+>>> pprint(dict_from_config(s))
+MiddleSection
+  left_alone: 'c'
+SubSample
+  SubSubSample
+    my_int: 5
+  subsample_uri: 'http://ipython.scipy.org'
+my_float: 4.0
+
+
+"""

IPython/config/traitlets.py

@@ -0,0 +1,322 b''
+"""Traitlets -- a light-weight meta-class free stand-in for Traits.
+
+Traitlet behaviour
+==================
+- Automatic casting, equivalent to traits.C* classes, e.g. CFloat, CBool etc.
+
+- By default, validation is done by attempting to cast a given value
+  to the underlying type, e.g. bool for Bool, float for Float etc.
+
+- To set or get a Traitlet value, use the ()-operator.  E.g.
+
+  >>> b = Bool(False)
+  >>> b(True)
+  >>> print b # returns a string representation of the Traitlet
+  True
+  >>> print b() # returns the underlying bool object
+  True
+
+  This makes it possible to change values "in-place", unlike an assigment
+  of the form
+
+  >>> c = Bool(False)
+  >>> c = True
+
+  which results in
+
+  >>> print type(b), type(c)
+  <class 'IPython.config.traitlets.Bool'> <type 'bool'>
+
+- Each Traitlet keeps track of its modification state, e.g.
+
+  >>> c = Bool(False)
+  >>> print c.modified
+  False
+  >>> c(False)
+  >>> print c.modified
+  False
+  >>> c(True)
+  >>> print c.modified
+  True
+
+How to customize Traitlets
+==========================
+
+The easiest way to create a new Traitlet is by wrapping an underlying
+Python type.  This is done by setting the "_type" class attribute.  For
+example, creating an int-like Traitlet is done as follows:
+
+>>> class MyInt(Traitlet):
+...     _type = int
+
+>>> i = MyInt(3)
+>>> i(4)
+>>> print i
+4
+
+>>> try:
+...     i('a')
+... except ValidationError:
+...    pass # this is expected
+... else:
+...     "This should not be reached."
+
+Furthermore, the following methods are provided for finer grained
+control of validation and assignment:
+
+ - validate(self,value)
+   Ensure that "value" is valid.  If not, raise an exception of any kind
+   with a suitable error message, which is reported to the user.
+
+ - prepare_value(self)
+   When using the ()-operator to query the underlying Traitlet value,
+   that value is first passed through prepare_value.  For example:
+
+   >>> class Eval(Traitlet):
+   ...     _type = str
+   ...
+   ...     def prepare_value(self):
+   ...         return eval(self._value)
+
+   >>> x = Eval('1+1')
+   >>> print x
+   '1+1'
+   >>> print x()
+   2
+
+ - __repr__(self)
+   By default, repr(self._value) is returned.  This can be customised
+   to, for example, first call prepare_value and return the repr of
+   the resulting object.
+
+"""
+
+import re
+import types
+
+class ValidationError(Exception):
+    pass
+
+class Traitlet(object):
+    """Traitlet which knows its modification state.
+
+    """
+    def __init__(self, value):
+        "Validate and store the default value.  State is 'unmodified'."
+        self._type = getattr(self,'_type',None)
+        value = self._parse_validation(value)
+        self._default_value = value
+        self.reset()
+
+    def reset(self):
+        self._value = self._default_value
+        self._changed = False
+
+    def validate(self, value):
+        "Validate the given value."
+        if self._type is not None:
+            self._type(value)
+
+    def _parse_validation(self, value):
+        """Run validation and return a descriptive error if needed.
+
+        """
+        try:
+            self.validate(value)
+        except Exception, e:
+            err_message = 'Cannot convert "%s" to %s' % \
+                          (value, self.__class__.__name__.lower())
+            if e.message:
+                err_message += ': %s' % e.message
+            raise ValidationError(err_message)
+        else:
+            # Cast to appropriate type before storing
+            if self._type is not None:
+                value = self._type(value)
+            return value
+
+    def prepare_value(self):
+        """Run on value before it is ever returned to the user.
+
+        """
+        return self._value
+
+    def __call__(self,value=None):
+        """Query or set value depending on whether `value` is specified.
+
+        """
+        if value is None:
+            return self.prepare_value()
+
+        self._value = self._parse_validation(value)
+        self._changed = (self._value != self._default_value)
+
+    @property
+    def modified(self):
+        "Whether value has changed from original definition."
+        return self._changed
+
+    def __repr__(self):
+        """This class is represented by the underlying repr.  Used when
+        dumping value to file.
+
+        """
+        return repr(self._value)
+
+class Float(Traitlet):
+    """
+    >>> f = Float(0)
+    >>> print f.modified
+    False
+
+    >>> f(3)
+    >>> print f()
+    3.0
+    >>> print f.modified
+    True
+
+    >>> f(0)
+    >>> print f()
+    0.0
+    >>> print f.modified
+    False
+
+    >>> try:
+    ...    f('a')
+    ... except ValidationError:
+    ...    pass
+
+    """
+    _type = float
+
+class Enum(Traitlet):
+    """
+    >>> c = Enum('a','b','c')
+    >>> print c()
+    a
+
+    >>> try:
+    ...    c('unknown')
+    ... except ValidationError:
+    ...    pass
+
+    >>> print c.modified
+    False
+
+    >>> c('b')
+    >>> print c()
+    b
+
+    """
+    def __init__(self, *options):
+        self._options = options
+        super(Enum,self).__init__(options[0])
+
+    def validate(self, value):
+        if not value in self._options:
+            raise ValueError('must be one of %s' % str(self._options))
+
+class Module(Traitlet):
+    """
+    >>> m = Module('some.unknown.module')
+    >>> print m
+    'some.unknown.module'
+
+    >>> m = Module('re')
+    >>> assert type(m()) is types.ModuleType
+
+    """
+    _type = str
+
+    def prepare_value(self):
+        try:
+            module = eval(self._value)
+        except:
+            module = None
+
+        if type(module) is not types.ModuleType:
+            raise ValueError("Invalid module name: %s" % self._value)
+        else:
+            return module
+
+
+class URI(Traitlet):
+    """
+    >>> u = URI('http://')
+
+    >>> try:
+    ...    u = URI('something.else')
+    ... except ValidationError:
+    ...    pass
+
+    >>> u = URI('http://ipython.scipy.org/')
+    >>> print u
+    'http://ipython.scipy.org/'
+
+    """
+    _regexp = re.compile(r'^[a-zA-Z]+:\/\/')
+    _type = str
+
+    def validate(self, uri):
+        if not self._regexp.match(uri):
+            raise ValueError()
+
+class Int(Traitlet):
+    """
+    >>> i = Int(3.5)
+    >>> print i
+    3
+    >>> print i()
+    3
+
+    >>> i = Int('4')
+    >>> print i
+    4
+
+    >>> try:
+    ...    i = Int('a')
+    ... except ValidationError:
+    ...    pass
+    ... else:
+    ...    raise "Should fail"
+
+    """
+    _type = int
+
+class Bool(Traitlet):
+    """
+    >>> b = Bool(2)
+    >>> print b
+    True
+    >>> print b()
+    True
+
+    >>> b = Bool('True')
+    >>> print b
+    True
+    >>> b(True)
+    >>> print b.modified
+    False
+
+    >>> print Bool(0)
+    False
+
+    """
+    _type = bool
+
+class Unicode(Traitlet):
+    """
+    >>> u = Unicode(123)
+    >>> print u
+    u'123'
+
+    >>> u = Unicode('123')
+    >>> print u.modified
+    False
+
+    >>> u('hello world')
+    >>> print u
+    u'hello world'
+
+    """
+    _type = unicode

README.txt

@@ -0,0 +1,11 b''
+===============
+IPython1 README
+===============
+ 
+.. contents::
+
+Overview
+========
+
+Welcome to IPython.  New users should consult our documentation, which can be found
+in the docs/source subdirectory.

docs/Makefile

@@ -0,0 +1,70 b''
+# Makefile for Sphinx documentation
+#
+
+# You can set these variables from the command line.
+SPHINXOPTS    =
+SPHINXBUILD   = sphinx-build
+PAPER         =
+
+# Internal variables.
+PAPEROPT_a4     = -D latex_paper_size=a4
+PAPEROPT_letter = -D latex_paper_size=letter
+ALLSPHINXOPTS   = -d build/doctrees $(PAPEROPT_$(PAPER)) $(SPHINXOPTS) source
+
+.PHONY: help clean html web pickle htmlhelp latex changes linkcheck
+
+help:
+	@echo "Please use \`make <target>' where <target> is one of"
+	@echo "  html      to make standalone HTML files"
+	@echo "  pickle    to make pickle files (usable by e.g. sphinx-web)"
+	@echo "  htmlhelp  to make HTML files and a HTML help project"
+	@echo "  latex     to make LaTeX files, you can set PAPER=a4 or PAPER=letter"
+	@echo "  changes   to make an overview over all changed/added/deprecated items"
+	@echo "  linkcheck to check all external links for integrity"
+
+clean:
+	-rm -rf build/*
+
+html:
+	mkdir -p build/html build/doctrees
+	$(SPHINXBUILD) -b html $(ALLSPHINXOPTS) build/html
+	@echo
+	@echo "Build finished. The HTML pages are in build/html."
+
+pickle:
+	mkdir -p build/pickle build/doctrees
+	$(SPHINXBUILD) -b pickle $(ALLSPHINXOPTS) build/pickle
+	@echo
+	@echo "Build finished; now you can process the pickle files or run"
+	@echo "  sphinx-web build/pickle"
+	@echo "to start the sphinx-web server."
+
+web: pickle
+
+htmlhelp:
+	mkdir -p build/htmlhelp build/doctrees
+	$(SPHINXBUILD) -b htmlhelp $(ALLSPHINXOPTS) build/htmlhelp
+	@echo
+	@echo "Build finished; now you can run HTML Help Workshop with the" \
+	      ".hhp project file in build/htmlhelp."
+
+latex:
+	mkdir -p build/latex build/doctrees
+	$(SPHINXBUILD) -b latex $(ALLSPHINXOPTS) build/latex
+	@echo
+	@echo "Build finished; the LaTeX files are in build/latex."
+	@echo "Run \`make all-pdf' or \`make all-ps' in that directory to" \
+	      "run these through (pdf)latex."
+
+changes:
+	mkdir -p build/changes build/doctrees
+	$(SPHINXBUILD) -b changes $(ALLSPHINXOPTS) build/changes
+	@echo
+	@echo "The overview file is in build/changes."
+
+linkcheck:
+	mkdir -p build/linkcheck build/doctrees
+	$(SPHINXBUILD) -b linkcheck $(ALLSPHINXOPTS) build/linkcheck
+	@echo
+	@echo "Link check complete; look for any errors in the above output " \
+	      "or in build/linkcheck/output.txt."

docs/source/changes.txt

@@ -0,0 +1,161 b''
+.. _changes:
+
+==========
+What's new
+==========
+
+.. contents::
+
+Release 0.9
+===========
+
+New features
+------------
+
+	* All of the parallel computing capabilities from `ipython1-dev` have been merged into
+	  IPython proper.  This resulted in the following new subpackages:  
+	  :mod:`IPython.kernel`, :mod:`IPython.kernel.core`, :mod:`IPython.config`,
+	  :mod:`IPython.tools` and :mod:`IPython.testing`.
+	* As part of merging in the `ipython1-dev` stuff, the `setup.py` script and friends
+	  have been completely refactored.  Now we are checking for dependencies using
+	  the approach that matplotlib uses.
+	* The documentation has been completely reorganized to accept the documentation
+	  from `ipython1-dev`.
+	* We have switched to using Foolscap for all of our network protocols in
+	  :mod:`IPython.kernel`.  This gives us secure connections that are both encrypted
+	  and authenticated.
+	* We have a brand new `COPYING.txt` files that describes the IPython license
+	  and copyright.  The biggest change is that we are putting "The IPython
+	  Development Team" as the copyright holder.  We give more details about exactly
+	  what this means in this file.  All developer should read this and use the new
+	  banner in all IPython source code files.
+
+Bug fixes
+---------
+
+	* A few subpackages has missing `__init__.py` files.
+	* The documentation is only created is Sphinx is found.  Previously, the `setup.py`
+	  script would fail if it was missing.
+
+Backwards incompatible changes
+------------------------------
+
+	* IPython has a larger set of dependencies if you want all of its capabilities.
+	  See the `setup.py` script for details.
+	* The constructors for :class:`IPython.kernel.client.MultiEngineClient` and 
+	  :class:`IPython.kernel.client.TaskClient` no longer take the (ip,port) tuple.
+	  Instead they take the filename of a file that contains the FURL for that
+	  client.  If the FURL file is in your IPYTHONDIR, it will be found automatically
+	  and the constructor can be left empty.
+	* The asynchronous clients in :mod:`IPython.kernel.asyncclient` are now created 
+	  using the factory functions :func:`get_multiengine_client` and 
+	  :func:`get_task_client`.  These return a `Deferred` to the actual client.
+	* The command line options to `ipcontroller` and `ipengine` have changed to
+	  reflect the new Foolscap network protocol and the FURL files.  Please see the
+	  help for these scripts for details.
+	* The configuration files for the kernel have changed because of the Foolscap stuff.
+	  If you were using custom config files before, you should delete them and regenerate
+	  new ones.
+
+Changes merged in from IPython1
+-------------------------------
+
+New features
+............
+
+	* Much improved ``setup.py`` and ``setupegg.py`` scripts.  Because Twisted
+	  and zope.interface are now easy installable, we can declare them as dependencies
+	  in our setupegg.py script.
+	* IPython is now compatible with Twisted 2.5.0 and 8.x.
+	* Added a new example of how to use :mod:`ipython1.kernel.asynclient`.
+	* Initial draft of a process daemon in :mod:`ipython1.daemon`.  This has not
+	  been merged into IPython and is still in `ipython1-dev`.
+	* The ``TaskController`` now has methods for getting the queue status.
+	* The ``TaskResult`` objects not have information about how long the task
+	  took to run.
+	* We are attaching additional attributes to exceptions ``(_ipython_*)`` that 
+	  we use to carry additional info around.
+	* New top-level module :mod:`asyncclient` that has asynchronous versions (that
+	  return deferreds) of the client classes.  This is designed to users who want
+	  to run their own Twisted reactor
+	* All the clients in :mod:`client` are now based on Twisted.  This is done by 
+	  running the Twisted reactor in a separate thread and using the
+	  :func:`blockingCallFromThread` function that is in recent versions of Twisted.
+	* Functions can now be pushed/pulled to/from engines using
+	  :meth:`MultiEngineClient.push_function` and :meth:`MultiEngineClient.pull_function`.
+	* Gather/scatter are now implemented in the client to reduce the work load
+	  of the controller and improve performance.
+	* Complete rewrite of the IPython docuementation.  All of the documentation
+	  from the IPython website has been moved into docs/source as restructured
+	  text documents.  PDF and HTML documentation are being generated using 
+	  Sphinx.
+	* New developer oriented documentation: development guidelines and roadmap. 
+	* Traditional ``ChangeLog`` has been changed to a more useful ``changes.txt`` file
+	  that is organized by release and is meant to provide something more relevant
+	  for users.
+
+Bug fixes
+.........
+
+	* Created a proper ``MANIFEST.in`` file to create source distributions.
+	* Fixed a bug in the ``MultiEngine`` interface.  Previously, multi-engine 
+	  actions were being collected with a :class:`DeferredList` with 
+	  ``fireononeerrback=1``.  This meant that methods were returning 
+	  before all engines had given their results.  This was causing extremely odd 
+	  bugs in certain cases. To fix this problem, we have 1) set 
+	  ``fireononeerrback=0`` to make sure all results (or exceptions) are in 
+	  before returning and 2) introduced a :exc:`CompositeError` exception 
+	  that wraps all of the engine exceptions.  This is a huge change as it means 
+	  that users will have to catch :exc:`CompositeError` rather than the actual
+	  exception.
+
+Backwards incompatible changes
+..............................
+
+	* All names have been renamed to conform to the lowercase_with_underscore
+	  convention.  This will require users to change references to all names like
+	  ``queueStatus`` to ``queue_status``.
+	* Previously, methods like :meth:`MultiEngineClient.push` and    	
+	  :meth:`MultiEngineClient.push` used ``*args`` and ``**kwargs``.  This was 
+	  becoming a problem as we weren't able to introduce new keyword arguments into
+	  the API.  Now these methods simple take a dict or sequence.  This has also allowed
+	  us to get rid of the ``*All`` methods like :meth:`pushAll` and :meth:`pullAll`.
+	  These things are now handled with the ``targets`` keyword argument that defaults
+	  to ``'all'``.
+	* The :attr:`MultiEngineClient.magicTargets` has been renamed to
+	  :attr:`MultiEngineClient.targets`. 
+	* All methods in the MultiEngine interface now accept the optional keyword argument
+	  ``block``.
+	* Renamed :class:`RemoteController` to :class:`MultiEngineClient` and 
+	  :class:`TaskController` to :class:`TaskClient`.
+	* Renamed the top-level module from :mod:`api` to :mod:`client`.
+	* Most methods in the multiengine interface now raise a :exc:`CompositeError` exception
+	  that wraps the user's exceptions, rather than just raising the raw user's exception.
+	* Changed the ``setupNS`` and ``resultNames`` in the ``Task`` class to ``push`` 
+	  and ``pull``.
+
+Release 0.8.4
+=============
+
+Someone needs to describe what went into 0.8.4.
+
+Release 0.8.2
+=============
+
+* %pushd/%popd behave differently; now "pushd /foo" pushes CURRENT directory 
+  and jumps to /foo. The current behaviour is closer to the documented 
+  behaviour, and should not trip anyone.
+  
+Release 0.8.3
+=============
+  
+* pydb is now disabled by default (due to %run -d problems). You can enable
+  it by passing -pydb command line argument to IPython. Note that setting
+  it in config file won't work.
+
+Older releases
+==============
+
+Changes in earlier releases of IPython are described in the older file ``ChangeLog``.  
+Please refer to this document for details.
+

docs/source/config/customization.txt

@@ -0,0 +1,284 b''
+.. _customization:
+
+========================
+Customization of IPython
+========================
+
+There are 2 ways to configure IPython - the old way of using ipythonrc
+files (an INI-file like format), and the new way that involves editing
+your ipy_user_conf.py. Both configuration systems work at the same
+time, so you can set your options in both, but if you are hesitating
+about which alternative to choose, we recommend the ipy_user_conf.py
+approach, as it will give you more power and control in the long
+run. However, there are few options such as pylab_import_all that can
+only be specified in ipythonrc file or command line - the reason for
+this is that they are needed before IPython has been started up, and
+the IPApi object used in ipy_user_conf.py is not yet available at that
+time. A hybrid approach of specifying a few options in ipythonrc and
+doing the more advanced configuration in ipy_user_conf.py is also
+possible.
+
+The ipythonrc approach
+======================
+
+As we've already mentioned, IPython reads a configuration file which can
+be specified at the command line (-rcfile) or which by default is
+assumed to be called ipythonrc. Such a file is looked for in the current
+directory where IPython is started and then in your IPYTHONDIR, which
+allows you to have local configuration files for specific projects. In
+this section we will call these types of configuration files simply
+rcfiles (short for resource configuration file).
+
+The syntax of an rcfile is one of key-value pairs separated by
+whitespace, one per line. Lines beginning with a # are ignored as
+comments, but comments can not be put on lines with data (the parser is
+fairly primitive). Note that these are not python files, and this is
+deliberate, because it allows us to do some things which would be quite
+tricky to implement if they were normal python files.
+
+First, an rcfile can contain permanent default values for almost all
+command line options (except things like -help or -Version). Sec
+`command line options`_ contains a description of all command-line
+options. However, values you explicitly specify at the command line
+override the values defined in the rcfile.
+
+Besides command line option values, the rcfile can specify values for
+certain extra special options which are not available at the command
+line. These options are briefly described below.
+
+Each of these options may appear as many times as you need it in the file.
+
+    * include <file1> <file2> ...: you can name other rcfiles you want
+      to recursively load up to 15 levels (don't use the <> brackets in
+      your names!). This feature allows you to define a 'base' rcfile
+      with general options and special-purpose files which can be loaded
+      only when needed with particular configuration options. To make
+      this more convenient, IPython accepts the -profile <name> option
+      (abbreviates to -p <name>) which tells it to look for an rcfile
+      named ipythonrc-<name>.
+    * import_mod <mod1> <mod2> ...: import modules with 'import
+      <mod1>,<mod2>,...'
+    * import_some <mod> <f1> <f2> ...: import functions with 'from
+      <mod> import <f1>,<f2>,...'
+    * import_all <mod1> <mod2> ...: for each module listed import
+      functions with ``from <mod> import *``.
+    * execute <python code>: give any single-line python code to be
+      executed.
+    * execfile <filename>: execute the python file given with an
+      'execfile(filename)' command. Username expansion is performed on
+      the given names. So if you need any amount of extra fancy
+      customization that won't fit in any of the above 'canned' options,
+      you can just put it in a separate python file and execute it.
+    * alias <alias_def>: this is equivalent to calling
+      '%alias <alias_def>' at the IPython command line. This way, from
+      within IPython you can do common system tasks without having to
+      exit it or use the ! escape. IPython isn't meant to be a shell
+      replacement, but it is often very useful to be able to do things
+      with files while testing code. This gives you the flexibility to
+      have within IPython any aliases you may be used to under your
+      normal system shell.
+
+ipy_user_conf.py
+================
+
+There should be a simple template ipy_user_conf.py file in your
+~/.ipython directory. It is a plain python module that is imported
+during IPython startup, so you can do pretty much what you want there
+- import modules, configure extensions, change options, define magic
+commands, put variables and functions in the IPython namespace,
+etc. You use the IPython extension api object, acquired by
+IPython.ipapi.get() and documented in the "IPython extension API"
+chapter, to interact with IPython. A sample ipy_user_conf.py is listed
+below for reference::
+
+    # Most of your config files and extensions will probably start
+    # with this import
+
+    import IPython.ipapi
+    ip = IPython.ipapi.get()
+
+    # You probably want to uncomment this if you did %upgrade -nolegacy
+    # import ipy_defaults    
+
+    import os   
+
+    def main():   
+
+        #ip.dbg.debugmode = True
+        ip.dbg.debug_stack()
+
+        # uncomment if you want to get ipython -p sh behaviour
+        # without having to use command line switches  
+        import ipy_profile_sh
+        import jobctrl
+
+        # Configure your favourite editor?
+        # Good idea e.g. for %edit os.path.isfile
+
+        #import ipy_editors
+
+        # Choose one of these:
+
+        #ipy_editors.scite()
+        #ipy_editors.scite('c:/opt/scite/scite.exe')
+        #ipy_editors.komodo()
+        #ipy_editors.idle()
+        # ... or many others, try 'ipy_editors??' after import to see them
+
+        # Or roll your own:
+        #ipy_editors.install_editor("c:/opt/jed +$line $file")
+
+
+        o = ip.options
+        # An example on how to set options
+        #o.autocall = 1
+        o.system_verbose = 0
+
+        #import_all("os sys")
+        #execf('~/_ipython/ns.py')
+
+
+        # -- prompt
+        # A different, more compact set of prompts from the default ones, that
+        # always show your current location in the filesystem:
+
+        #o.prompt_in1 = r'\C_LightBlue[\C_LightCyan\Y2\C_LightBlue]\C_Normal\n\C_Green|\#>'
+        #o.prompt_in2 = r'.\D: '
+        #o.prompt_out = r'[\#] '
+
+        # Try one of these color settings if you can't read the text easily
+        # autoexec is a list of IPython commands to execute on startup
+        #o.autoexec.append('%colors LightBG')
+        #o.autoexec.append('%colors NoColor')
+        o.autoexec.append('%colors Linux')
+
+
+    # some config helper functions you can use 
+    def import_all(modules):
+        """ Usage: import_all("os sys") """ 
+        for m in modules.split():
+            ip.ex("from %s import *" % m)
+
+    def execf(fname):
+        """ Execute a file in user namespace """
+        ip.ex('execfile("%s")' % os.path.expanduser(fname))
+
+    main()
+
+.. _Prompts:
+
+Fine-tuning your prompt
+=======================
+
+IPython's prompts can be customized using a syntax similar to that of
+the bash shell. Many of bash's escapes are supported, as well as a few
+additional ones. We list them below::
+
+    \#
+        the prompt/history count number. This escape is automatically
+        wrapped in the coloring codes for the currently active color scheme. 
+    \N
+        the 'naked' prompt/history count number: this is just the number
+        itself, without any coloring applied to it. This lets you produce
+        numbered prompts with your own colors. 
+    \D
+        the prompt/history count, with the actual digits replaced by dots.
+        Used mainly in continuation prompts (prompt_in2) 
+    \w
+        the current working directory 
+    \W
+        the basename of current working directory 
+    \Xn
+        where $n=0\ldots5.$ The current working directory, with $HOME
+        replaced by ~, and filtered out to contain only $n$ path elements 
+    \Yn
+        Similar to \Xn, but with the $n+1$ element included if it is ~ (this
+        is similar to the behavior of the %cn escapes in tcsh) 
+    \u
+        the username of the current user 
+    \$
+        if the effective UID is 0, a #, otherwise a $ 
+    \h
+        the hostname up to the first '.' 
+    \H
+        the hostname 
+    \n
+        a newline 
+    \r
+        a carriage return 
+    \v
+        IPython version string 
+
+In addition to these, ANSI color escapes can be insterted into the
+prompts, as \C_ColorName. The list of valid color names is: Black, Blue,
+Brown, Cyan, DarkGray, Green, LightBlue, LightCyan, LightGray,
+LightGreen, LightPurple, LightRed, NoColor, Normal, Purple, Red, White,
+Yellow.
+
+Finally, IPython supports the evaluation of arbitrary expressions in
+your prompt string. The prompt strings are evaluated through the syntax
+of PEP 215, but basically you can use $x.y to expand the value of x.y,
+and for more complicated expressions you can use braces: ${foo()+x} will
+call function foo and add to it the value of x, before putting the
+result into your prompt. For example, using
+prompt_in1 '${commands.getoutput("uptime")}\nIn [\#]: ' 
+will print the result of the uptime command on each prompt (assuming the
+commands module has been imported in your ipythonrc file).
+
+
+      Prompt examples
+
+The following options in an ipythonrc file will give you IPython's
+default prompts::
+
+    prompt_in1 'In [\#]:' 
+    prompt_in2 '   .\D.:' 
+    prompt_out 'Out[\#]:'
+
+which look like this::
+
+    In [1]: 1+2 
+    Out[1]: 3
+
+    In [2]: for i in (1,2,3): 
+       ...:    print i, 
+       ...: 
+    1 2 3
+
+These will give you a very colorful prompt with path information::
+
+    #prompt_in1 '\C_Red\u\C_Blue[\C_Cyan\Y1\C_Blue]\C_LightGreen\#>' 
+    prompt_in2 ' ..\D>' 
+    prompt_out '<\#>'
+
+which look like this::
+
+    fperez[~/ipython]1> 1+2 
+                    <1> 3 
+    fperez[~/ipython]2> for i in (1,2,3): 
+                   ...>     print i, 
+                   ...> 
+    1 2 3
+
+
+.. _Profiles:
+
+IPython profiles
+================
+
+As we already mentioned, IPython supports the -profile command-line
+option (see sec. `command line options`_). A profile is nothing more
+than a particular configuration file like your basic ipythonrc one,
+but with particular customizations for a specific purpose. When you
+start IPython with 'ipython -profile <name>', it assumes that in your
+IPYTHONDIR there is a file called ipythonrc-<name> or
+ipy_profile_<name>.py, and loads it instead of the normal ipythonrc.
+
+This system allows you to maintain multiple configurations which load
+modules, set options, define functions, etc. suitable for different
+tasks and activate them in a very simple manner. In order to avoid
+having to repeat all of your basic options (common things that don't
+change such as your color preferences, for example), any profile can
+include another configuration file. The most common way to use profiles
+is then to have each one include your basic ipythonrc file as a starting
+point, and then add further customizations.
  No newline at end of file

docs/source/config/index.txt

@@ -0,0 +1,10 b''
+===============================
+Configuration and customization
+===============================
+
+.. toctree::
+   :maxdepth: 1
+
+   initial_config.txt
+   customization.txt
+   new_config.txt

docs/source/config/initial_config.txt

@@ -0,0 +1,238 b''
+.. _initial config:
+
+=========================================
+Initial configuration of your environment
+=========================================
+
+This section will help you set various things in your environment for
+your IPython sessions to be as efficient as possible. All of IPython's
+configuration information, along with several example files, is stored
+in a directory named by default $HOME/.ipython. You can change this by
+defining the environment variable IPYTHONDIR, or at runtime with the
+command line option -ipythondir.
+
+If all goes well, the first time you run IPython it should
+automatically create a user copy of the config directory for you,
+based on its builtin defaults. You can look at the files it creates to
+learn more about configuring the system. The main file you will modify
+to configure IPython's behavior is called ipythonrc (with a .ini
+extension under Windows), included for reference in `ipythonrc`_ 
+section. This file is very commented and has many variables you can
+change to suit your taste, you can find more details in
+Sec. customization_. Here we discuss the basic things you will want to
+make sure things are working properly from the beginning.
+
+
+.. _Accessing help:
+
+Access to the Python help system
+================================
+
+This is true for Python in general (not just for IPython): you should
+have an environment variable called PYTHONDOCS pointing to the directory
+where your HTML Python documentation lives. In my system it's
+/usr/share/doc/python-docs-2.3.4/html, check your local details or ask
+your systems administrator.
+
+This is the directory which holds the HTML version of the Python
+manuals. Unfortunately it seems that different Linux distributions
+package these files differently, so you may have to look around a bit.
+Below I show the contents of this directory on my system for reference::
+
+    [html]> ls 
+    about.dat acks.html dist/ ext/ index.html lib/ modindex.html
+    stdabout.dat tut/ about.html api/ doc/ icons/ inst/ mac/ ref/ style.css
+
+You should really make sure this variable is correctly set so that
+Python's pydoc-based help system works. It is a powerful and convenient
+system with full access to the Python manuals and all modules accessible
+to you.
+
+Under Windows it seems that pydoc finds the documentation automatically,
+so no extra setup appears necessary.
+
+
+Editor
+======
+
+The %edit command (and its alias %ed) will invoke the editor set in your
+environment as EDITOR. If this variable is not set, it will default to
+vi under Linux/Unix and to notepad under Windows. You may want to set
+this variable properly and to a lightweight editor which doesn't take
+too long to start (that is, something other than a new instance of
+Emacs). This way you can edit multi-line code quickly and with the power
+of a real editor right inside IPython.
+
+If you are a dedicated Emacs user, you should set up the Emacs server so
+that new requests are handled by the original process. This means that
+almost no time is spent in handling the request (assuming an Emacs
+process is already running). For this to work, you need to set your
+EDITOR environment variable to 'emacsclient'. The code below, supplied
+by Francois Pinard, can then be used in your .emacs file to enable the
+server::
+
+    (defvar server-buffer-clients) 
+    (when (and (fboundp 'server-start) (string-equal (getenv "TERM") 'xterm)) 
+      (server-start) 
+      (defun fp-kill-server-with-buffer-routine () 
+        (and server-buffer-clients (server-done))) 
+      (add-hook 'kill-buffer-hook 'fp-kill-server-with-buffer-routine))
+
+You can also set the value of this editor via the commmand-line option
+'-editor' or in your ipythonrc file. This is useful if you wish to use
+specifically for IPython an editor different from your typical default
+(and for Windows users who tend to use fewer environment variables).
+
+
+Color
+=====
+
+The default IPython configuration has most bells and whistles turned on
+(they're pretty safe). But there's one that may cause problems on some
+systems: the use of color on screen for displaying information. This is
+very useful, since IPython can show prompts and exception tracebacks
+with various colors, display syntax-highlighted source code, and in
+general make it easier to visually parse information.
+
+The following terminals seem to handle the color sequences fine:
+
+    * Linux main text console, KDE Konsole, Gnome Terminal, E-term,
+      rxvt, xterm.
+    * CDE terminal (tested under Solaris). This one boldfaces light colors.
+    * (X)Emacs buffers. See the emacs_ section for more details on
+      using IPython with (X)Emacs.
+    * A Windows (XP/2k) command prompt with pyreadline_.
+    * A Windows (XP/2k) CygWin shell. Although some users have reported
+      problems; it is not clear whether there is an issue for everyone
+      or only under specific configurations. If you have full color
+      support under cygwin, please post to the IPython mailing list so
+      this issue can be resolved for all users.
+
+These have shown problems:
+
+    * Windows command prompt in WinXP/2k logged into a Linux machine via
+      telnet or ssh.
+    * Windows native command prompt in WinXP/2k, without Gary Bishop's
+      extensions. Once Gary's readline library is installed, the normal
+      WinXP/2k command prompt works perfectly.
+
+Currently the following color schemes are available:
+
+    * NoColor: uses no color escapes at all (all escapes are empty '' ''
+      strings). This 'scheme' is thus fully safe to use in any terminal.
+    * Linux: works well in Linux console type environments: dark
+      background with light fonts. It uses bright colors for
+      information, so it is difficult to read if you have a light
+      colored background.
+    * LightBG: the basic colors are similar to those in the Linux scheme
+      but darker. It is easy to read in terminals with light backgrounds.
+
+IPython uses colors for two main groups of things: prompts and
+tracebacks which are directly printed to the terminal, and the object
+introspection system which passes large sets of data through a pager.
+
+
+Input/Output prompts and exception tracebacks
+=============================================
+
+You can test whether the colored prompts and tracebacks work on your
+system interactively by typing '%colors Linux' at the prompt (use
+'%colors LightBG' if your terminal has a light background). If the input
+prompt shows garbage like::
+
+    [0;32mIn [[1;32m1[0;32m]: [0;00m
+                               
+instead of (in color) something like::
+    
+    In [1]:
+        
+this means that your terminal doesn't properly handle color escape
+sequences. You can go to a 'no color' mode by typing '%colors NoColor'.
+
+You can try using a different terminal emulator program (Emacs users,
+see below). To permanently set your color preferences, edit the file
+$HOME/.ipython/ipythonrc and set the colors option to the desired value.
+
+
+Object details (types, docstrings, source code, etc.)
+=====================================================
+
+IPython has a set of special functions for studying the objects you
+are working with, discussed in detail in Sec. `dynamic object
+information`_. But this system relies on passing information which is
+longer than your screen through a data pager, such as the common Unix
+less and more programs. In order to be able to see this information in
+color, your pager needs to be properly configured. I strongly
+recommend using less instead of more, as it seems that more simply can
+not understand colored text correctly.
+
+In order to configure less as your default pager, do the following:
+
+   1. Set the environment PAGER variable to less.
+   2. Set the environment LESS variable to -r (plus any other options
+      you always want to pass to less by default). This tells less to
+      properly interpret control sequences, which is how color
+      information is given to your terminal.
+
+For the csh or tcsh shells, add to your ~/.cshrc file the lines::
+
+    setenv PAGER less 
+    setenv LESS -r
+
+There is similar syntax for other Unix shells, look at your system
+documentation for details.
+
+If you are on a system which lacks proper data pagers (such as Windows),
+IPython will use a very limited builtin pager.
+
+.. _emacs:
+
+(X)Emacs configuration
+======================
+
+Thanks to the work of Alexander Schmolck and Prabhu Ramachandran,
+currently (X)Emacs and IPython get along very well.
+
+Important note: You will need to use a recent enough version of
+python-mode.el, along with the file ipython.el. You can check that the
+version you have of python-mode.el is new enough by either looking at
+the revision number in the file itself, or asking for it in (X)Emacs via
+M-x py-version. Versions 4.68 and newer contain the necessary fixes for
+proper IPython support.
+
+The file ipython.el is included with the IPython distribution, in the
+documentation directory (where this manual resides in PDF and HTML
+formats).
+
+Once you put these files in your Emacs path, all you need in your .emacs
+file is::
+
+    (require 'ipython) 
+
+This should give you full support for executing code snippets via
+IPython, opening IPython as your Python shell via C-c !, etc.
+
+If you happen to get garbage instead of colored prompts as described in
+the previous section, you may need to set also in your .emacs file::
+
+    (setq ansi-color-for-comint-mode t) 
+
+
+Notes:
+
+    * There is one caveat you should be aware of: you must start the
+      IPython shell before attempting to execute any code regions via
+      ``C-c |``. Simply type C-c ! to start IPython before passing any code
+      regions to the interpreter, and you shouldn't experience any
+      problems.
+      This is due to a bug in Python itself, which has been fixed for
+      Python 2.3, but exists as of Python 2.2.2 (reported as SF bug [
+      737947 ]).
+    * The (X)Emacs support is maintained by Alexander Schmolck, so all
+      comments/requests should be directed to him through the IPython
+      mailing lists.
+    * This code is still somewhat experimental so it's a bit rough
+      around the edges (although in practice, it works quite well).
+    * Be aware that if you customize py-python-command previously, this
+      value will override what ipython.el does (because loading the
+      customization variables comes later).
  No newline at end of file

docs/source/config/new_config.txt

@@ -0,0 +1,27 b''
+========================
+New configuration system
+========================
+
+IPython has a configuration system. When running IPython for the first time,
+reasonable defaults are used for the configuration. The configuration of IPython
+can be changed in two ways:
+
+	* Configuration files
+	* Commands line options (which override the configuration files)
+
+IPython has a separate configuration file for each subpackage. Thus, the main
+configuration files are (in your ``~/.ipython`` directory):
+
+ 	* ``ipython1.core.ini``
+	* ``ipython1.kernel.ini``
+	* ``ipython1.notebook.ini``
+
+To create these files for the first time, do the following::
+
+	from ipython1.kernel.config import config_manager as kernel_config
+	kernel_config.write_default_config_file()
+
+But, you should only need to do this if you need to modify the defaults. If needed
+repeat this process with the ``notebook`` and ``core`` configuration as well. If you
+are running into problems with IPython, you might try deleting these configuration
+files.
  No newline at end of file

docs/source/credits.txt

@@ -0,0 +1,139 b''
+.. _credits:
+
+=======
+Credits
+=======
+
+IPython is mainly developed by Fernando Pérez
+<[e-mail]>, but the project was born from mixing in
+Fernando's code with the IPP project by Janko Hauser
+<jhauser-AT-zscout.de> and LazyPython by Nathan Gray
+<n8gray-AT-caltech.edu>. For all IPython-related requests, please
+contact Fernando.
+
+As of early 2006, the following developers have joined the core team:
+
+    * [Robert Kern] <rkern-AT-enthought.com>: co-mentored the 2005
+      Google Summer of Code project to develop python interactive
+      notebooks (XML documents) and graphical interface. This project
+      was awarded to the students Tzanko Matev <tsanko-AT-gmail.com> and
+      Toni Alatalo <antont-AT-an.org>
+    * [Brian Granger] <bgranger-AT-scu.edu>: extending IPython to allow
+      support for interactive parallel computing.
+    * [Ville Vainio] <vivainio-AT-gmail.com>: Ville is the new
+      maintainer for the main trunk of IPython after version 0.7.1.
+
+The IPython project is also very grateful to:
+
+Bill Bumgarner <bbum-AT-friday.com>: for providing the DPyGetOpt module
+which gives very powerful and convenient handling of command-line
+options (light years ahead of what Python 2.1.1's getopt module does).
+
+Ka-Ping Yee <ping-AT-lfw.org>: for providing the Itpl module for
+convenient and powerful string interpolation with a much nicer syntax
+than formatting through the '%' operator.
+
+Arnd Baecker <baecker-AT-physik.tu-dresden.de>: for his many very useful
+suggestions and comments, and lots of help with testing and
+documentation checking. Many of IPython's newer features are a result of
+discussions with him (bugs are still my fault, not his).
+
+Obviously Guido van Rossum and the whole Python development team, that
+goes without saying.
+
+IPython's website is generously hosted at http://ipython.scipy.orgby
+Enthought (http://www.enthought.com). I am very grateful to them and all
+of the SciPy team for their contribution.
+
+Fernando would also like to thank Stephen Figgins <fig-AT-monitor.net>,
+an O'Reilly Python editor. His Oct/11/2001 article about IPP and
+LazyPython, was what got this project started. You can read it at:
+http://www.onlamp.com/pub/a/python/2001/10/11/pythonnews.html.
+
+And last but not least, all the kind IPython users who have emailed new
+code, bug reports, fixes, comments and ideas. A brief list follows,
+please let me know if I have ommitted your name by accident:
+
+    * [Jack Moffit] <jack-AT-xiph.org> Bug fixes, including the infamous
+      color problem. This bug alone caused many lost hours and
+      frustration, many thanks to him for the fix. I've always been a
+      fan of Ogg & friends, now I have one more reason to like these folks.
+      Jack is also contributing with Debian packaging and many other
+      things.
+    * [Alexander Schmolck] <a.schmolck-AT-gmx.net> Emacs work, bug
+      reports, bug fixes, ideas, lots more. The ipython.el mode for
+      (X)Emacs is Alex's code, providing full support for IPython under
+      (X)Emacs.
+    * [Andrea Riciputi] <andrea.riciputi-AT-libero.it> Mac OSX
+      information, Fink package management.
+    * [Gary Bishop] <gb-AT-cs.unc.edu> Bug reports, and patches to work
+      around the exception handling idiosyncracies of WxPython. Readline
+      and color support for Windows.
+    * [Jeffrey Collins] <Jeff.Collins-AT-vexcel.com> Bug reports. Much
+      improved readline support, including fixes for Python 2.3.
+    * [Dryice Liu] <dryice-AT-liu.com.cn> FreeBSD port.
+    * [Mike Heeter] <korora-AT-SDF.LONESTAR.ORG>
+    * [Christopher Hart] <hart-AT-caltech.edu> PDB integration.
+    * [Milan Zamazal] <pdm-AT-zamazal.org> Emacs info.
+    * [Philip Hisley] <compsys-AT-starpower.net>
+    * [Holger Krekel] <pyth-AT-devel.trillke.net> Tab completion, lots
+      more.
+    * [Robin Siebler] <robinsiebler-AT-starband.net>
+    * [Ralf Ahlbrink] <ralf_ahlbrink-AT-web.de>
+    * [Thorsten Kampe] <thorsten-AT-thorstenkampe.de>
+    * [Fredrik Kant] <fredrik.kant-AT-front.com> Windows setup.
+    * [Syver Enstad] <syver-en-AT-online.no> Windows setup.
+    * [Richard] <rxe-AT-renre-europe.com> Global embedding.
+    * [Hayden Callow] <h.callow-AT-elec.canterbury.ac.nz> Gnuplot.py 1.6
+      compatibility.
+    * [Leonardo Santagada] <retype-AT-terra.com.br> Fixes for Windows
+      installation.
+    * [Christopher Armstrong] <radix-AT-twistedmatrix.com> Bugfixes.
+    * [Francois Pinard] <pinard-AT-iro.umontreal.ca> Code and
+      documentation fixes.
+    * [Cory Dodt] <cdodt-AT-fcoe.k12.ca.us> Bug reports and Windows
+      ideas. Patches for Windows installer.
+    * [Olivier Aubert] <oaubert-AT-bat710.univ-lyon1.fr> New magics.
+    * [King C. Shu] <kingshu-AT-myrealbox.com> Autoindent patch.
+    * [Chris Drexler] <chris-AT-ac-drexler.de> Readline packages for
+      Win32/CygWin.
+    * [Gustavo Cordova Avila] <gcordova-AT-sismex.com> EvalDict code for
+      nice, lightweight string interpolation.
+    * [Kasper Souren] <Kasper.Souren-AT-ircam.fr> Bug reports, ideas.
+    * [Gever Tulley] <gever-AT-helium.com> Code contributions.
+    * [Ralf Schmitt] <ralf-AT-brainbot.com> Bug reports & fixes.
+    * [Oliver Sander] <osander-AT-gmx.de> Bug reports.
+    * [Rod Holland] <rhh-AT-structurelabs.com> Bug reports and fixes to
+      logging module.
+    * [Daniel 'Dang' Griffith] <pythondev-dang-AT-lazytwinacres.net>
+      Fixes, enhancement suggestions for system shell use.
+    * [Viktor Ransmayr] <viktor.ransmayr-AT-t-online.de> Tests and
+      reports on Windows installation issues. Contributed a true Windows
+      binary installer.
+    * [Mike Salib] <msalib-AT-mit.edu> Help fixing a subtle bug related
+      to traceback printing.
+    * [W.J. van der Laan] <gnufnork-AT-hetdigitalegat.nl> Bash-like
+      prompt specials.
+    * [Antoon Pardon] <Antoon.Pardon-AT-rece.vub.ac.be> Critical fix for
+      the multithreaded IPython.
+    * [John Hunter] <jdhunter-AT-nitace.bsd.uchicago.edu> Matplotlib
+      author, helped with all the development of support for matplotlib
+      in IPyhton, including making necessary changes to matplotlib itself.
+    * [Matthew Arnison] <maffew-AT-cat.org.au> Bug reports, '%run -d' idea.
+    * [Prabhu Ramachandran] <prabhu_r-AT-users.sourceforge.net> Help
+      with (X)Emacs support, threading patches, ideas...
+    * [Norbert Tretkowski] <tretkowski-AT-inittab.de> help with Debian
+      packaging and distribution.
+    * [George Sakkis] <gsakkis-AT-eden.rutgers.edu> New matcher for
+      tab-completing named arguments of user-defined functions.
+    * [Jörgen Stenarson] <jorgen.stenarson-AT-bostream.nu> Wildcard
+      support implementation for searching namespaces.
+    * [Vivian De Smedt] <vivian-AT-vdesmedt.com> Debugger enhancements,
+      so that when pdb is activated from within IPython, coloring, tab
+      completion and other features continue to work seamlessly.
+    * [Scott Tsai] <scottt958-AT-yahoo.com.tw> Support for automatic
+      editor invocation on syntax errors (see
+      http://www.scipy.net/roundup/ipython/issue36).
+    * [Alexander Belchenko] <bialix-AT-ukr.net> Improvements for win32
+      paging system.
+    * [Will Maier] <willmaier-AT-ml1.net> Official OpenBSD port.
  No newline at end of file

docs/source/development/development.txt

@@ -0,0 +1,315 b''
+.. _development:
+
+==================================
+IPython development guidelines
+==================================
+
+.. contents::
+..
+    1  Overview
+    2  Project organization
+      2.1  Subpackages
+      2.2  Installation and dependencies
+      2.3  Specific subpackages
+    3  Version control
+    4  Documentation
+      4.1  Standalone documentation
+      4.2  Docstring format
+    5  Coding conventions
+      5.1  General
+      5.2  Naming conventions
+    6  Testing
+    7  Configuration
+..
+
+
+Overview
+========
+
+IPython is the next generation of IPython.  It is named such for two reasons:
+
+- Eventually, IPython will become IPython version 1.0.
+- This new code base needs to be able to co-exist with the existing IPython until
+  it is a full replacement for it.  Thus we needed a different name.  We couldn't
+  use ``ipython`` (lowercase) as some files systems are case insensitive.
+
+There are two, no three, main goals of the IPython effort:
+
+1. Clean up the existing codebase and write lots of tests.
+2. Separate the core functionality of IPython from the terminal to enable IPython
+   to be used from within a variety of GUI applications.
+3. Implement a system for interactive parallel computing.
+
+While the third goal may seem a bit unrelated to the main focus of IPython, it turns
+out that the technologies required for this goal are nearly identical with those
+required for goal two. This is the main reason the interactive parallel computing
+capabilities are being put into IPython proper. Currently the third of these goals is
+furthest along.
+
+This document describes IPython from the perspective of developers.  
+
+
+Project organization
+====================
+
+Subpackages
+-----------
+
+IPython is organized into semi self-contained subpackages.  Each of the subpackages will have its own:
+
+- **Dependencies**.  One of the most important things to keep in mind in
+  partitioning code amongst subpackages, is that they should be used to cleanly
+  encapsulate dependencies.  
+- **Tests**.  Each subpackage shoud have its own ``tests`` subdirectory that
+  contains all of the tests for that package.  For information about writing tests
+  for IPython, see the `Testing System`_ section of this document.
+- **Configuration**.  Each subpackage should have its own ``config`` subdirectory
+  that contains the configuration information for the components of the 
+  subpackage.  For information about how the IPython configuration system
+  works, see the `Configuration System`_ section of this document.
+- **Scripts**.  Each subpackage should have its own ``scripts`` subdirectory that
+  contains all of the command line scripts associated with the subpackage.
+
+Installation and dependencies
+-----------------------------
+   
+IPython will not use `setuptools`_ for installation. Instead, we will use standard
+``setup.py`` scripts that use `distutils`_. While there are a number a extremely nice
+features that `setuptools`_ has (like namespace packages), the current implementation
+of `setuptools`_ has performance problems, particularly on shared file systems. In
+particular, when Python packages are installed on NSF file systems, import times
+become much too long (up towards 10 seconds). 
+
+Because IPython is being used extensively in the context of high performance
+computing, where performance is critical but shared file systems are common, we feel
+these performance hits are not acceptable. Thus, until the performance problems
+associated with `setuptools`_ are addressed, we will stick with plain `distutils`_. We
+are hopeful that these problems will be addressed and that we will eventually begin
+using `setuptools`_. Because of this, we are trying to organize IPython in a way that
+will make the eventual transition to `setuptools`_ as painless as possible.
+
+Because we will be using `distutils`_, there will be no method for automatically installing dependencies.  Instead, we are following the approach of `Matplotlib`_ which can be summarized as follows:
+
+- Distinguish between required and optional dependencies.  However, the required
+  dependencies for IPython should be only the Python standard library.
+- Upon installation check to see which optional dependencies are present and tell
+  the user which parts of IPython need which optional dependencies.
+
+It is absolutely critical that each subpackage of IPython has a clearly specified set
+of dependencies and that dependencies are not carelessly inherited from other IPython
+subpackages. Furthermore, tests that have certain dependencies should not fail if
+those dependencies are not present. Instead they should be skipped and print a
+message.
+
+.. _setuptools: http://peak.telecommunity.com/DevCenter/setuptools
+.. _distutils: http://docs.python.org/lib/module-distutils.html
+.. _Matplotlib: http://matplotlib.sourceforge.net/
+
+Specific subpackages
+--------------------
+
+``core``
+	This is the core functionality of IPython that is independent of the
+	terminal, network and GUIs.  Most of the code that is in the current
+	IPython trunk will be refactored, cleaned up and moved here.
+
+``kernel``
+	The enables the IPython core to be expose to a the network.  This is
+	also where all of the parallel computing capabilities are to be found.
+	
+``config``
+	The configuration package used by IPython.
+
+``frontends``
+	The various frontends for IPython.  A frontend is the end-user application
+	that exposes the capabilities of IPython to the user.  The most basic frontend
+	will simply be a terminal based application that looks just like today 's 
+	IPython.  Other frontends will likely be more powerful and based on GUI toolkits.
+
+``notebook``
+	An application that allows users to work with IPython notebooks.
+
+``tools``
+	This is where general utilities go.
+
+
+Version control
+===============
+
+In the past, IPython development has been done using `Subversion`__.  We are currently trying out `Bazaar`__ and `Launchpad`__.
+
+.. __: http://subversion.tigris.org/
+.. __: http://bazaar-vcs.org/
+.. __: http://www.launchpad.net/ipython
+
+Documentation
+=============
+
+Standalone documentation
+------------------------
+
+All standalone documentation should be written in plain text (``.txt``) files using
+`reStructuredText`_ for markup and formatting. All such documentation should be placed
+in the top level directory ``docs`` of the IPython source tree. Or, when appropriate,
+a suitably named subdirectory should be used. The documentation in this location will
+serve as the main source for IPython documentation and all existing documentation
+should be converted to this format.
+
+In the future, the text files in the ``docs`` directory will be used to generate all
+forms of documentation for IPython. This include documentation on the IPython website
+as well as *pdf* documentation.
+
+.. _reStructuredText: http://docutils.sourceforge.net/rst.html
+
+Docstring format
+----------------
+
+Good docstrings are very important. All new code will use `Epydoc`_ for generating API
+docs, so we will follow the `Epydoc`_ conventions. More specifically, we will use
+`reStructuredText`_ for markup and formatting, since it is understood by a wide
+variety of tools. This means that if in the future we have any reason to change from
+`Epydoc`_ to something else, we'll have fewer transition pains.
+
+Details about using `reStructuredText`_ for docstrings can be found `here
+<http://epydoc.sourceforge.net/manual-othermarkup.html>`_.
+
+.. _Epydoc: http://epydoc.sourceforge.net/
+
+Additional PEPs of interest regarding documentation of code:
+
+- `Docstring Conventions <http://www.python.org/peps/pep-0257.html>`_
+- `Docstring Processing System Framework <http://www.python.org/peps/pep-0256.html>`_
+- `Docutils Design Specification <http://www.python.org/peps/pep-0258.html>`_
+
+
+Coding conventions
+==================
+
+General
+-------
+
+In general, we'll try to follow the standard Python style conventions as described here:
+
+- `Style Guide for Python Code  <http://www.python.org/peps/pep-0008.html>`_  
+
+
+Other comments:
+
+- In a large file, top level classes and functions should be 
+  separated by 2-3 lines to make it easier to separate them visually.
+- Use 4 spaces for indentation.
+- Keep the ordering of methods the same in classes that have the same 
+  methods.  This is particularly true for classes that implement 
+  similar interfaces and for interfaces that are similar.
+
+Naming conventions
+------------------
+
+In terms of naming conventions, we'll follow the guidelines from the `Style Guide for
+Python Code`_.
+
+For all new IPython code (and much existing code is being refactored), we'll use:
+
+- All ``lowercase`` module names.
+
+- ``CamelCase`` for class names.
+
+- ``lowercase_with_underscores`` for methods, functions, variables and attributes.
+
+This may be confusing as most of the existing IPython codebase uses a different convention (``lowerCamelCase`` for methods and attributes).  Slowly, we will move IPython over to the new
+convention, providing shadow names for backward compatibility in public interfaces. 
+
+There are, however, some important exceptions to these rules.  In some cases, IPython
+code will interface with packages (Twisted, Wx, Qt) that use other conventions.  At some level this makes it impossible to adhere to our own standards at all times.  In particular, when subclassing classes that use other naming conventions, you must follow their naming conventions.  To deal with cases like this, we propose the following policy:
+
+- If you are subclassing a class that uses different conventions, use its
+  naming conventions throughout your subclass.  Thus, if you are creating a 
+  Twisted Protocol class, used Twisted's ``namingSchemeForMethodsAndAttributes.``
+
+- All IPython's official interfaces should use our conventions.  In some cases 
+  this will mean that you need to provide shadow names (first implement ``fooBar``
+  and then ``foo_bar = fooBar``).  We want to avoid this at all costs, but it 
+  will probably be necessary at times.  But, please use this sparingly!
+
+Implementation-specific *private* methods will use ``_single_underscore_prefix``.
+Names with a leading double underscore will *only* be used in special cases, as they
+makes subclassing difficult (such names are not easily seen by child classes).
+
+Occasionally some run-in lowercase names are used, but mostly for very short names or
+where we are implementing methods very similar to existing ones in a base class (like
+``runlines()`` where ``runsource()`` and ``runcode()`` had established precedent).
+
+The old IPython codebase has a big mix of classes and modules prefixed with an
+explicit ``IP``. In Python this is mostly unnecessary, redundant and frowned upon, as
+namespaces offer cleaner prefixing. The only case where this approach is justified is
+for classes which are expected to be imported into external namespaces and a very
+generic name (like Shell) is too likely to clash with something else. We'll need to
+revisit this issue as we clean up and refactor the code, but in general we should
+remove as many unnecessary ``IP``/``ip`` prefixes as possible. However, if a prefix
+seems absolutely necessary the more specific ``IPY`` or ``ipy`` are preferred.
+
+.. _devel_testing:
+
+Testing system
+==============
+
+It is extremely important that all code contributed to IPython has tests. Tests should
+be written as unittests, doctests or as entities that the `Nose`_ testing package will
+find. Regardless of how the tests are written, we will use `Nose`_ for discovering and
+running the tests. `Nose`_ will be required to run the IPython test suite, but will
+not be required to simply use IPython.
+
+.. _Nose: http://code.google.com/p/python-nose/
+
+Tests of `Twisted`__ using code should be written by subclassing the ``TestCase`` class
+that comes with ``twisted.trial.unittest``. When this is done, `Nose`_ will be able to
+run the tests and the twisted reactor will be handled correctly.
+
+.. __: http://www.twistedmatrix.com
+
+Each subpackage in IPython should have its own ``tests`` directory that contains all
+of the tests for that subpackage. This allows each subpackage to be self-contained. If
+a subpackage has any dependencies beyond the Python standard library, the tests for
+that subpackage should be skipped if the dependencies are not found. This is very
+important so users don't get tests failing simply because they don't have dependencies.
+
+We also need to look into use Noses ability to tag tests to allow a more modular
+approach of running tests.
+
+.. _devel_config:
+
+Configuration system
+====================
+
+IPython uses `.ini`_ files for configuration purposes. This represents a huge
+improvement over the configuration system used in IPython. IPython works with these
+files using the `ConfigObj`_ package, which IPython includes as
+``ipython1/external/configobj.py``.
+
+Currently, we are using raw `ConfigObj`_ objects themselves. Each subpackage of IPython
+should contain a ``config`` subdirectory that contains all of the configuration
+information for the subpackage. To see how configuration information is defined (along
+with defaults) see at the examples in ``ipython1/kernel/config`` and
+``ipython1/core/config``. Likewise, to see how the configuration information is used,
+see examples in ``ipython1/kernel/scripts/ipengine.py``.
+
+Eventually, we will add a new layer on top of the raw `ConfigObj`_ objects. We are
+calling this new layer, ``tconfig``, as it will use a `Traits`_-like validation model.
+We won't actually use `Traits`_, but will implement something similar in pure Python.
+But, even in this new system, we will still use `ConfigObj`_ and `.ini`_ files
+underneath the hood. Talk to Fernando if you are interested in working on this part of
+IPython. The current prototype of ``tconfig`` is located in the IPython sandbox.
+
+.. _.ini: http://docs.python.org/lib/module-ConfigParser.html
+.. _ConfigObj: http://www.voidspace.org.uk/python/configobj.html
+.. _Traits: http://code.enthought.com/traits/
+
+
+
+
+
+
+
+
+
+

docs/source/development/index.txt

@@ -0,0 +1,9 b''
+==================
+Development
+==================
+
+.. toctree::
+   :maxdepth: 2
+
+   development.txt
+   roadmap.txt

docs/source/development/roadmap.txt

@@ -0,0 +1,96 b''
+.. _roadmap:
+
+===================
+Development roadmap
+===================
+
+.. contents::
+
+IPython is an ambitious project that is still under heavy development.  However, we want IPython to become useful to as many people as possible, as quickly as possible.  To help us accomplish this, we are laying out a roadmap of where we are headed and what needs to happen to get there.  Hopefully, this will help the IPython developers figure out the best things to work on for each upcoming release.
+
+Speaking of releases, we are going to begin releasing a new version of IPython every four weeks.  We are hoping that a regular release schedule, along with a clear roadmap of where we are headed will propel the project forward.
+
+Where are we headed
+===================
+
+Our goal with IPython is simple: to provide a *powerful*, *robust* and *easy to use* framework for parallel computing.  While there are other secondary goals you will hear us talking about at various times, this is the primary goal of IPython that frames the roadmap.
+
+Steps along the way
+===================
+
+Here we describe the various things that we need to work on to accomplish this goal.
+
+Setting up for regular release schedule
+---------------------------------------
+
+We would like to begin to release IPython regularly (probably a 4 week release cycle).  To get ready for this, we need to revisit the development guidelines and put in information about releasing IPython.  
+
+Process startup and management
+------------------------------
+
+IPython is implemented using a distributed set of processes that communicate using TCP/IP network channels.  Currently, users have to start each of the various processes separately using command line scripts.  This is both difficult and error prone.  Furthermore, there are a number of things that often need to be managed once the processes have been started, such as the sending of signals and the shutting down and cleaning up of processes.
+
+We need to build a system that makes it trivial for users to start and manage IPython processes.  This system should have the following properties:
+
+	* It should possible to do everything through an extremely simple API that users
+	  can call from their own Python script.  No shell commands should be needed.
+	* This simple API should be configured using standard .ini files.
+	* The system should make it possible to start processes using a number of different
+	  approaches:  SSH, PBS/Torque, Xgrid, Windows Server, mpirun, etc.
+	* The controller and engine processes should each have a daemon for monitoring, 
+	  signaling and clean up.
+	* The system should be secure.
+	* The system should work under all the major operating systems, including
+	  Windows.
+
+Initial work has begun on the daemon infrastructure, and some of the needed logic is contained in the ipcluster script.
+
+Ease of use/high-level approaches to parallelism
+------------------------------------------------
+
+While our current API for clients is well designed, we can still do a lot better in designing a user-facing API that is super simple.  The main goal here is that it should take *almost no extra code* for users to get their code running in parallel.  For this to be possible, we need to tie into Python's standard idioms that enable efficient coding.  The biggest ones we are looking at are using context managers (i.e., Python 2.5's ``with`` statement) and decorators.  Initial work on this front has begun, but more work is needed.
+
+We also need to think about new models for expressing parallelism.  This is fun work as most of the foundation has already been established.
+
+Security
+--------
+
+Currently, IPython has no built in security or security model.  Because we would like IPython to be usable on public computer systems and over wide area networks, we need to come up with a robust solution for security.  Here are some of the specific things that need to be included:
+
+	* User authentication between all processes (engines, controller and clients).
+	* Optional TSL/SSL based encryption of all communication channels.
+	* A good way of picking network ports so multiple users on the same system can
+	  run their own controller and engines without interfering with those of others.
+	* A clear model for security that enables users to evaluate the security risks
+	  associated with using IPython in various manners.
+
+For the implementation of this, we plan on using Twisted's support for SSL and authentication.  One things that we really should look at is the `Foolscap`_ network protocol, which provides many of these things out of the box.
+
+.. _Foolscap: http://foolscap.lothar.com/trac
+
+The security work needs to be done in conjunction with other network protocol stuff.
+
+Latent performance issues
+-------------------------
+
+Currently, we have a number of performance issues that are waiting to bite users:
+
+	* The controller store a large amount of state in Python dictionaries.  Under heavy
+	  usage, these dicts with get very large, causing memory usage problems.  We need to 
+	  develop more scalable solutions to this problem, such as using a sqlite database
+	  to store this state.  This will also help the controller to be more fault tolerant.
+	* Currently, the client to controller connections are done through XML-RPC using 
+	  HTTP 1.0.  This is very inefficient as XML-RPC is a very verbose protocol and 
+	  each request must be handled with a new connection.  We need to move these network
+	  connections over to PB or Foolscap.
+	* We currently don't have a good way of handling large objects in the controller.
+	  The biggest problem is that because we don't have any way of streaming objects,
+	  we get lots of temporary copies in the low-level buffers.  We need to implement
+	  a better serialization approach and true streaming support.
+	* The controller currently unpickles and repickles objects.  We need to use the 
+	  [push|pull]_serialized methods instead.
+	* Currently the controller is a bottleneck.  We need the ability to scale the 
+	  controller by aggregating multiple controllers into one effective controller.
+
+
+

docs/source/faq.txt

@@ -0,0 +1,93 b''
+.. _faq:
+
+========================================
+Frequently asked questions
+========================================
+
+General questions
+=================
+
+Questions about parallel computing with IPython
+================================================
+
+Will IPython speed my Python code up?
+--------------------------------------
+
+Yes and no. When converting a serial code to run in parallel, there often many
+difficulty questions that need to be answered, such as:
+
+	* How should data be decomposed onto the set of processors?
+	* What are the data movement patterns?
+	* Can the algorithm be structured to minimize data movement?
+	* Is dynamic load balancing important?
+
+We can't answer such questions for you. This is the hard (but fun) work of parallel
+computing. But, once you understand these things IPython will make it easier for you to
+implement a good solution quickly. Most importantly, you will be able to use the
+resulting parallel code interactively.
+
+With that said, if your problem is trivial to parallelize, IPython has a number of
+different interfaces that will enable you to parallelize things is almost no time at
+all.  A good place to start is the ``map`` method of our `multiengine interface`_.
+
+.. _multiengine interface: ./parallel_multiengine
+
+What is the best way to use MPI from Python?
+--------------------------------------------
+
+What about all the other parallel computing packages in Python?
+---------------------------------------------------------------
+
+Some of the unique characteristic of IPython are:
+
+	* IPython is the only architecture that abstracts out the notion of a 
+	  parallel computation in such a way that new models of parallel computing
+	  can be explored quickly and easily.  If you don't like the models we
+	  provide, you can simply create your own using the capabilities we provide.
+	* IPython is asynchronous from the ground up (we use `Twisted`_).
+	* IPython's architecture is designed to avoid subtle problems 
+	  that emerge because of Python's global interpreter lock (GIL).
+	* While IPython'1 architecture is designed to support a wide range
+	  of novel parallel computing models, it is fully interoperable with
+	  traditional MPI applications.
+	* IPython has been used and tested extensively on modern supercomputers.
+	* IPython's networking layers are completely modular.  Thus, is 
+	  straightforward to replace our existing network protocols with 
+	  high performance alternatives (ones based upon Myranet/Infiniband).
+	* IPython is designed from the ground up to support collaborative
+	  parallel computing.  This enables multiple users to actively develop
+	  and run the *same* parallel computation.
+	* Interactivity is a central goal for us.  While IPython does not have
+	  to be used interactivly, is can be.
+	  
+.. _Twisted: http://www.twistedmatrix.com
+
+Why The IPython controller a bottleneck in my parallel calculation?
+-------------------------------------------------------------------
+
+A golden rule in parallel computing is that you should only move data around if you
+absolutely need to. The main reason that the controller becomes a bottleneck is that
+too much data is being pushed and pulled to and from the engines. If your algorithm
+is structured in this way, you really should think about alternative ways of
+handling the data movement. Here are some ideas:
+
+	1. Have the engines write data to files on the locals disks of the engines.
+	2. Have the engines write data to files on a file system that is shared by
+	   the engines.
+	3. Have the engines write data to a database that is shared by the engines.
+	4. Simply keep data in the persistent memory of the engines and move the
+	   computation to the data (rather than the data to the computation).
+	5. See if you can pass data directly between engines using MPI.
+
+Isn't Python slow to be used for high-performance parallel computing?
+---------------------------------------------------------------------
+
+
+
+
+ 
+
+
+
+
+

docs/source/history.txt

@@ -0,0 +1,56 b''
+.. _history:
+
+=======
+History
+=======
+
+Origins
+=======
+
+The current IPython system grew out of the following three projects:
+
+    * [ipython] by Fernando Pérez. I was working on adding
+      Mathematica-type prompts and a flexible configuration system
+      (something better than $PYTHONSTARTUP) to the standard Python
+      interactive interpreter.
+    * [IPP] by Janko Hauser. Very well organized, great usability. Had
+      an old help system. IPP was used as the 'container' code into
+      which I added the functionality from ipython and LazyPython.
+    * [LazyPython] by Nathan Gray. Simple but very powerful. The quick
+      syntax (auto parens, auto quotes) and verbose/colored tracebacks
+      were all taken from here.
+
+When I found out about IPP and LazyPython I tried to join all three
+into a unified system. I thought this could provide a very nice
+working environment, both for regular programming and scientific
+computing: shell-like features, IDL/Matlab numerics, Mathematica-type
+prompt history and great object introspection and help facilities. I
+think it worked reasonably well, though it was a lot more work than I
+had initially planned.
+
+
+Current status
+==============
+
+The above listed features work, and quite well for the most part. But
+until a major internal restructuring is done (see below), only bug
+fixing will be done, no other features will be added (unless very minor
+and well localized in the cleaner parts of the code).
+
+IPython consists of some 18000 lines of pure python code, of which
+roughly two thirds is reasonably clean. The rest is, messy code which
+needs a massive restructuring before any further major work is done.
+Even the messy code is fairly well documented though, and most of the
+problems in the (non-existent) class design are well pointed to by a
+PyChecker run. So the rewriting work isn't that bad, it will just be
+time-consuming.
+
+
+Future
+------
+
+See the separate new_design document for details. Ultimately, I would
+like to see IPython become part of the standard Python distribution as a
+'big brother with batteries' to the standard Python interactive
+interpreter. But that will never happen with the current state of the
+code, so all contributions are welcome.
  No newline at end of file

docs/source/index.txt

@@ -0,0 +1,28 b''
+=====================
+IPython Documentation
+=====================
+
+Contents
+========
+
+.. toctree::
+   :maxdepth: 1
+
+   overview.txt
+   install/index.txt
+   interactive/index.txt
+   parallel/index.txt
+   config/index.txt
+   changes.txt
+   development/index.txt
+   faq.txt
+   history.txt
+   license_and_copyright.txt
+   credits.txt
+
+Indices and tables
+==================
+
+* :ref:`genindex`
+* :ref:`modindex`
+* :ref:`search`
  No newline at end of file

docs/source/install/advanced.txt

@@ -0,0 +1,138 b''
+=========================================
+Advanced installation options for IPython
+=========================================
+
+.. contents::
+
+Introduction
+============
+
+IPython enables parallel applications to be developed in Python. This document
+describes the steps required to install IPython. For an overview of IPython's
+architecture as it relates to parallel computing, see our :ref:`introduction to
+parallel computing with IPython <ip1par>`.
+
+Please let us know if you have problems installing IPython or any of its
+dependencies. We have tested IPython extensively with Python 2.4 and 2.5.
+
+.. warning::
+
+	IPython will not work with Python 2.3 or below.
+
+IPython has three required dependencies:
+
+	1. `IPython`__
+	2. `Zope Interface`__
+	3. `Twisted`__
+	4. `Foolscap`__
+
+.. __: http://ipython.scipy.org
+.. __: http://pypi.python.org/pypi/zope.interface
+.. __: http://twistedmatrix.com
+.. __: http://foolscap.lothar.com/trac
+
+It also has the following optional dependencies:
+
+	1. pexpect (used for certain tests)
+	2. nose (used to run our test suite)
+	3. sqlalchemy (used for database support)
+	4. mpi4py (for MPI support)
+	5. Sphinx and pygments (for building documentation)
+	6. pyOpenSSL (for security)
+
+Getting IPython
+================
+
+IPython development has been moved to `Launchpad`_.  The development branch of IPython can be checkout out using `Bazaar`_::
+
+    $ bzr branch lp:///~ipython/ipython/ipython1-dev
+
+.. _Launchpad: http://www.launchpad.net/ipython
+.. _Bazaar: http://bazaar-vcs.org/
+
+Installation using setuptools
+=============================
+
+The easiest way of installing IPython and its dependencies is using
+`setuptools`_. If you have setuptools installed you can simple use the ``easy_install``
+script that comes with setuptools (this should be on your path if you have setuptools)::
+
+	$ easy_install ipython1
+
+This will download and install the latest version of IPython as well as all of its dependencies.  For this to work, you will need to be connected to the internet when you run this command. This will install everything info the ``site-packages`` directory of your Python distribution. If this is the system wide Python, you will likely need admin privileges. For information about installing Python packages to other locations (that don't require admin privileges) see the `setuptools`_ documentation.
+
+.. _setuptools: http://peak.telecommunity.com/DevCenter/setuptools
+
+If you don't want `setuptools`_ to automatically install the dependencies, you can also get the dependencies yourself, using ``easy_install``::
+
+	$ easy_install IPython
+	$ easy_install zope.interface
+	$ easy_install Twisted
+	$ easy_install foolscap
+
+or by simply downloading and installing the dependencies manually.
+
+If you want to have secure (highly recommended) network connections, you will also
+need to get `pyOpenSSL`__, version 0.6, or just do:
+
+	$ easy_install ipython1[security]
+
+.. hint::	If you want to do development on IPython and want to always 
+   run off your development branch, you can run 
+   :command:`python setupegg.py develop` in the IPython source tree.
+
+.. __: http://pyopenssl.sourceforge.net/
+
+Installation using plain distutils
+==================================
+
+If you don't have `setuptools`_ installed or don't want to use it, you can also install IPython and its dependencies using ``distutils``.  In this approach, you will need to get the most recent stable releases of IPython's dependencies and install each of them by doing::
+
+	$ python setup.py install
+
+The dependencies need to be installed before installing IPython.  After installing the dependencies, install IPython by running::
+
+	$ cd ipython1-dev
+	$ python setup.py install
+
+.. note:: Here we are using setup.py rather than setupegg.py.
+
+.. _install_testing:
+
+Testing
+=======
+
+Once you have completed the installation of the IPython kernel you can run our test suite
+with the command::
+
+	trial ipython1
+	
+Or if you have `nose`__ installed::
+
+	nosetests -v ipython1
+	
+The ``trial`` command is part of Twisted and allows asynchronous network based
+applications to be tested using Python's unittest framework. Please let us know
+if the tests do not pass. The best way to get in touch with us is on the `IPython
+developer mailing list`_.
+
+.. __: http://somethingaboutorange.com/mrl/projects/nose/
+.. _IPython developer mailing list: http://projects.scipy.org/mailman/listinfo/ipython-dev
+
+MPI Support
+===========
+
+IPython includes optional support for the Message Passing Interface (`MPI`_),
+which enables the IPython Engines to pass data between each other using `MPI`_.  To use MPI with IPython, the minimal requirements are:
+
+	* An MPI implementation (we recommend `Open MPI`_)
+	* A way to call MPI (we recommend `mpi4py`_)
+
+But, IPython should work with any MPI implementation and with any code
+(Python/C/C++/Fortran) that uses MPI. Please contact us for more information about
+this.
+
+.. _MPI: http://www-unix.mcs.anl.gov/mpi/
+.. _mpi4py: http://mpi4py.scipy.org/
+.. _Open MPI: http://www.open-mpi.org/
+

docs/source/install/basic.txt

@@ -0,0 +1,272 b''
+=============================
+Basic installation of IPython
+=============================
+
+Installation
+============
+
+Instant instructions
+--------------------
+
+If you are of the impatient kind, under Linux/Unix simply untar/unzip
+the download, then install with 'python setup.py install'. Under
+Windows, double-click on the provided .exe binary installer.
+
+Then, take a look at Customization_ section for configuring things
+optimally and `Quick tips`_ for quick tips on efficient use of
+IPython. You can later refer to the rest of the manual for all the
+gory details.
+
+See the notes in upgrading_ section for upgrading IPython versions.
+
+
+    Detailed Unix instructions (Linux, Mac OS X, etc.)
+
+For RPM based systems, simply install the supplied package in the usual
+manner. If you download the tar archive, the process is:
+
+   1. Unzip/untar the ipython-XXX.tar.gz file wherever you want (XXX is
+      the version number). It will make a directory called ipython-XXX.
+      Change into that directory where you will find the files README
+      and setup.py. Once you've completed the installation, you can
+      safely remove this directory.
+   2. If you are installing over a previous installation of version
+      0.2.0 or earlier, first remove your $HOME/.ipython directory,
+      since the configuration file format has changed somewhat (the '='
+      were removed from all option specifications). Or you can call
+      ipython with the -upgrade option and it will do this automatically
+      for you.
+   3. IPython uses distutils, so you can install it by simply typing at
+      the system prompt (don't type the $)::
+      
+      	$ python setup.py install
+      	
+      Note that this assumes you have root access to your machine. If
+      you don't have root access or don't want IPython to go in the
+      default python directories, you'll need to use the ``--home`` option
+      (or ``--prefix``). For example::
+      
+      	$ python setup.py install --home $HOME/local
+      	
+      will install IPython into $HOME/local and its subdirectories
+      (creating them if necessary).
+      You can type::
+      
+      	$ python setup.py --help
+      	
+      for more details.
+      
+      Note that if you change the default location for ``--home`` at
+      installation, IPython may end up installed at a location which is
+      not part of your $PYTHONPATH environment variable. In this case,
+      you'll need to configure this variable to include the actual
+      directory where the IPython/ directory ended (typically the value
+      you give to ``--home`` plus /lib/python).
+
+
+Mac OSX information
+-------------------
+
+Under OSX, there is a choice you need to make. Apple ships its own build
+of Python, which lives in the core OSX filesystem hierarchy. You can
+also manually install a separate Python, either purely by hand
+(typically in /usr/local) or by using Fink, which puts everything under
+/sw. Which route to follow is a matter of personal preference, as I've
+seen users who favor each of the approaches. Here I will simply list the
+known installation issues under OSX, along with their solutions.
+
+This page: http://geosci.uchicago.edu/~tobis/pylab.html contains
+information on this topic, with additional details on how to make
+IPython and matplotlib play nicely under OSX.
+
+To run IPython and readline on OSX "Leopard" system python, see the 
+wiki page at http://ipython.scipy.org/moin/InstallationOSXLeopard
+
+
+GUI problems
+------------
+
+The following instructions apply to an install of IPython under OSX from
+unpacking the .tar.gz distribution and installing it for the default
+Python interpreter shipped by Apple. If you are using a fink install,
+fink will take care of these details for you, by installing IPython
+against fink's Python.
+
+IPython offers various forms of support for interacting with graphical
+applications from the command line, from simple Tk apps (which are in
+principle always supported by Python) to interactive control of WX, Qt
+and GTK apps. Under OSX, however, this requires that ipython is
+installed by calling the special pythonw script at installation time,
+which takes care of coordinating things with Apple's graphical environment.
+
+So when installing under OSX, it is best to use the following command:: 
+
+	$ sudo pythonw setup.py install --install-scripts=/usr/local/bin
+
+or
+
+	$ sudo pythonw setup.py install --install-scripts=/usr/bin
+	
+depending on where you like to keep hand-installed executables.
+
+The resulting script will have an appropriate shebang line (the first
+line in the script whic begins with #!...) such that the ipython
+interpreter can interact with the OS X GUI. If the installed version
+does not work and has a shebang line that points to, for example, just
+/usr/bin/python, then you might have a stale, cached version in your
+build/scripts-<python-version> directory. Delete that directory and
+rerun the setup.py.
+
+It is also a good idea to use the special flag ``--install-scripts`` as
+indicated above, to ensure that the ipython scripts end up in a location
+which is part of your $PATH. Otherwise Apple's Python will put the
+scripts in an internal directory not available by default at the command
+line (if you use /usr/local/bin, you need to make sure this is in your
+$PATH, which may not be true by default).
+
+
+Readline problems
+-----------------
+
+By default, the Python version shipped by Apple does not include the
+readline library, so central to IPython's behavior. If you install
+IPython against Apple's Python, you will not have arrow keys, tab
+completion, etc. For Mac OSX 10.3 (Panther), you can find a prebuilt
+readline library here:
+http://pythonmac.org/packages/readline-5.0-py2.3-macosx10.3.zip
+
+If you are using OSX 10.4 (Tiger), after installing this package you
+need to either:
+
+   1. move readline.so from /Library/Python/2.3 to
+      /Library/Python/2.3/site-packages, or
+   2. install http://pythonmac.org/packages/TigerPython23Compat.pkg.zip
+
+Users installing against Fink's Python or a properly hand-built one
+should not have this problem.
+
+
+DarwinPorts
+-----------
+
+I report here a message from an OSX user, who suggests an alternative
+means of using IPython under this operating system with good results.
+Please let me know of any updates that may be useful for this section.
+His message is reproduced verbatim below:
+
+    From: Markus Banfi <markus.banfi-AT-mospheira.net> 
+
+    As a MacOS X (10.4.2) user I prefer to install software using
+    DawinPorts instead of Fink. I had no problems installing ipython
+    with DarwinPorts. It's just: 
+
+    sudo port install py-ipython 
+
+    It automatically resolved all dependencies (python24, readline,
+    py-readline). So far I did not encounter any problems with the
+    DarwinPorts port of ipython. 
+
+
+
+Windows instructions
+--------------------
+
+Some of IPython's very useful features are:
+
+    * Integrated readline support (Tab-based file, object and attribute
+      completion, input history across sessions, editable command line,
+      etc.)
+    * Coloring of prompts, code and tracebacks.
+
+.. _pyreadline:
+
+These, by default, are only available under Unix-like operating systems.
+However, thanks to Gary Bishop's work, Windows XP/2k users can also
+benefit from them. His readline library originally implemented both GNU
+readline functionality and color support, so that IPython under Windows
+XP/2k can be as friendly and powerful as under Unix-like environments.
+
+This library, now named PyReadline, has been absorbed by the IPython
+team (Jörgen Stenarson, in particular), and it continues to be developed
+with new features, as well as being distributed directly from the
+IPython site.
+
+The PyReadline extension requires CTypes and the windows IPython
+installer needs PyWin32, so in all you need:
+
+   1. PyWin32 from http://sourceforge.net/projects/pywin32.
+   2. PyReadline for Windows from
+      http://ipython.scipy.org/moin/PyReadline/Intro. That page contains
+      further details on using and configuring the system to your liking.
+   3. Finally, only if you are using Python 2.3 or 2.4, you need CTypes
+      from http://starship.python.net/crew/theller/ctypes(you must use
+      version 0.9.1 or newer). This package is included in Python 2.5,
+      so you don't need to manually get it if your Python version is 2.5
+      or newer.
+
+Warning about a broken readline-like library: several users have
+reported problems stemming from using the pseudo-readline library at
+http://newcenturycomputers.net/projects/readline.html. This is a broken
+library which, while called readline, only implements an incomplete
+subset of the readline API. Since it is still called readline, it fools
+IPython's detection mechanisms and causes unpredictable crashes later.
+If you wish to use IPython under Windows, you must NOT use this library,
+which for all purposes is (at least as of version 1.6) terminally broken.
+
+
+Installation procedure
+----------------------
+
+Once you have the above installed, from the IPython download directory
+grab the ipython-XXX.win32.exe file, where XXX represents the version
+number. This is a regular windows executable installer, which you can
+simply double-click to install. It will add an entry for IPython to your
+Start Menu, as well as registering IPython in the Windows list of
+applications, so you can later uninstall it from the Control Panel.
+
+IPython tries to install the configuration information in a directory
+named .ipython (_ipython under Windows) located in your 'home'
+directory. IPython sets this directory by looking for a HOME environment
+variable; if such a variable does not exist, it uses HOMEDRIVE\HOMEPATH
+(these are always defined by Windows). This typically gives something
+like C:\Documents and Settings\YourUserName, but your local details may
+vary. In this directory you will find all the files that configure
+IPython's defaults, and you can put there your profiles and extensions.
+This directory is automatically added by IPython to sys.path, so
+anything you place there can be found by import statements.
+
+
+Upgrading
+---------
+
+For an IPython upgrade, you should first uninstall the previous version.
+This will ensure that all files and directories (such as the
+documentation) which carry embedded version strings in their names are
+properly removed.
+
+
+Manual installation under Win32
+-------------------------------
+
+In case the automatic installer does not work for some reason, you can
+download the ipython-XXX.tar.gz file, which contains the full IPython
+source distribution (the popular WinZip can read .tar.gz files). After
+uncompressing the archive, you can install it at a command terminal just
+like any other Python module, by using 'python setup.py install'.
+
+After the installation, run the supplied win32_manual_post_install.py
+script, which creates the necessary Start Menu shortcuts for you.
+
+
+.. upgrading:
+
+Upgrading from a previous version
+---------------------------------
+
+If you are upgrading from a previous version of IPython, you may want
+to upgrade the contents of your ~/.ipython directory. Just run
+%upgrade, look at the diffs and delete the suggested files manually,
+if you think you can lose the old versions. %upgrade will never
+overwrite or delete anything.
+
+

docs/source/install/index.txt

@@ -0,0 +1,9 b''
+==================
+Installation
+==================
+
+.. toctree::
+   :maxdepth: 2
+
+   basic.txt
+   advanced.txt

docs/source/interactive/extension_api.txt

@@ -0,0 +1,252 b''
+=====================
+IPython extension API
+=====================
+
+IPython api (defined in IPython/ipapi.py) is the public api that
+should be used for
+
+ * Configuration of user preferences (.ipython/ipy_user_conf.py)
+ * Creating new profiles (.ipython/ipy_profile_PROFILENAME.py)
+ * Writing extensions 
+
+Note that by using the extension api for configuration (editing
+ipy_user_conf.py instead of ipythonrc), you get better validity checks
+and get richer functionality - for example, you can import an
+extension and call functions in it to configure it for your purposes.
+
+For an example extension (the 'sh' profile), see
+IPython/Extensions/ipy_profile_sh.py.
+
+For the last word on what's available, see the source code of
+IPython/ipapi.py.
+
+
+Getting started
+===============
+
+If you want to define an extension, create a normal python module that
+can be imported. The module will access IPython functionality through
+the 'ip' object defined below.
+
+If you are creating a new profile (e.g. foobar), name the module as
+'ipy_profile_foobar.py' and put it in your ~/.ipython directory. Then,
+when you start ipython with the '-p foobar' argument, the module is
+automatically imported on ipython startup.
+
+If you are just doing some per-user configuration, you can either 
+
+ * Put the commands directly into ipy_user_conf.py. 
+
+ * Create a new module with your customization code and import *that*
+   module in ipy_user_conf.py. This is preferable to the first approach,
+   because now you can reuse and distribute your customization code.
+
+Getting a handle to the api
+===========================
+
+Put this in the start of your module::
+
+    #!python
+    import IPython.ipapi
+    ip = IPython.ipapi.get()
+
+The 'ip' object will then be used for accessing IPython
+functionality. 'ip' will mean this api object in all the following
+code snippets. The same 'ip' that we just acquired is always
+accessible in interactive IPython sessions by the name _ip - play with
+it like this::
+
+    [~\_ipython]|81> a = 10
+    [~\_ipython]|82> _ip.e
+    _ip.ev           _ip.ex           _ip.expose_magic
+    [~\_ipython]|82> _ip.ev('a+13')
+                <82> 23
+
+The _ip object is also used in some examples in this document - it can
+be substituted by 'ip' in non-interactive use.
+
+Changing options
+================
+
+The ip object has 'options' attribute that can be used te get/set
+configuration options (just as in the ipythonrc file)::
+
+    o = ip.options
+    o.autocall = 2
+    o.automagic = 1
+
+Executing statements in IPython namespace with 'ex' and 'ev'
+============================================================
+
+Often, you want to e.g. import some module or define something that
+should be visible in IPython namespace. Use ``ip.ev`` to
+*evaluate* (calculate the value of) expression and ``ip.ex`` to
+'''execute''' a statement::
+
+    # path module will be visible to the interactive session
+    ip.ex("from path import path" )
+
+    # define a handy function 'up' that changes the working directory
+
+    ip.ex('import os')
+    ip.ex("def up(): os.chdir('..')")
+
+
+    # _i2 has the input history entry #2, print its value in uppercase.
+    print ip.ev('_i2.upper()')
+
+Accessing the IPython namespace
+===============================
+
+ip.user_ns attribute has a dictionary containing the IPython global
+namespace (the namespace visible in the interactive session).
+
+::
+
+    [~\_ipython]|84> tauno = 555
+    [~\_ipython]|85> _ip.user_ns['tauno']
+                <85> 555
+
+Defining new magic commands
+===========================
+
+The following example defines a new magic command, %impall. What the
+command does should be obvious::
+
+    def doimp(self, arg):
+        ip = self.api
+        ip.ex("import %s; reload(%s); from %s import *" % (
+        arg,arg,arg)
+        )
+
+    ip.expose_magic('impall', doimp)
+
+Things to observe in this example:
+
+ * Define a function that implements the magic command using the 
+   ipapi methods defined in this document
+ * The first argument of the function is 'self', i.e. the 
+   interpreter object. It shouldn't be used directly. however. 
+   The interpreter object is probably *not* going to remain stable 
+   through IPython versions.
+ * Access the ipapi through 'self.api' instead of the global 'ip' object.
+ * All the text following the magic command on the command line is 
+   contained in the second argument
+ * Expose the magic by ip.expose_magic()
+
+
+Calling magic functions and system commands
+===========================================
+
+Use ip.magic() to execute a magic function, and ip.system() to execute
+a system command::
+
+    # go to a bookmark
+    ip.magic('%cd -b relfiles')
+
+    # execute 'ls -F' system command. Interchangeable with os.system('ls'), really.
+    ip.system('ls -F')
+
+Launching IPython instance from normal python code
+==================================================
+
+Use ipapi.launch_new_instance() with an argument that specifies the
+namespace to use. This can be useful for trivially embedding IPython
+into your program. Here's an example of normal python program test.py
+('''without''' an existing IPython session) that launches an IPython
+interpreter and regains control when the interpreter is exited::
+
+    [ipython]|1> cat test.py
+    my_ns = dict(
+        kissa = 15,
+        koira = 16)
+    import IPython.ipapi
+    print "launching IPython instance"
+    IPython.ipapi.launch_new_instance(my_ns)
+    print "Exited IPython instance!"
+    print "New vals:",my_ns['kissa'], my_ns['koira']
+
+And here's what it looks like when run (note how we don't start it
+from an ipython session)::
+
+    Q:\ipython>python test.py
+    launching IPython instance
+    Py 2.5 (r25:51908, Sep 19 2006, 09:52:17) [MSC v.1310 32 bit (Intel)] IPy 0.7.3b3.r1975
+    [ipython]|1> kissa = 444
+    [ipython]|2> koira = 555
+    [ipython]|3> Exit
+    Exited IPython instance!
+    New vals: 444 555
+
+Accessing unexposed functionality
+=================================
+
+There are still many features that are not exposed via the ipapi. If
+you can't avoid using them, you can use the functionality in
+InteractiveShell object (central IPython session class, defined in
+iplib.py) through ip.IP.
+
+For example::
+
+    [~]|7> _ip.IP.expand_aliases('np','myfile.py')
+       <7> 'c:/opt/Notepad++/notepad++.exe myfile.py'
+    [~]|8>
+
+Still, it's preferable that if you encounter such a feature, contact
+the IPython team and request that the functionality be exposed in a
+future version of IPython. Things not in ipapi are more likely to
+change over time.
+
+Provided extensions
+===================
+
+You can see the list of available extensions (and profiles) by doing
+``import ipy_<TAB>``. Some extensions don't have the ``ipy_`` prefix in
+module name, so you may need to see the contents of IPython/Extensions
+folder to see what's available.
+
+You can see a brief documentation of an extension by looking at the
+module docstring::
+
+    [c:p/ipython_main]|190> import ipy_fsops
+    [c:p/ipython_main]|191> ipy_fsops?
+
+    ...
+
+    Docstring:
+        File system operations
+
+    Contains: Simple variants of normal unix shell commands (icp, imv, irm,
+    imkdir, igrep).
+
+You can also install your own extensions - the recommended way is to
+just copy the module to ~/.ipython. Extensions are typically enabled
+by just importing them (e.g. in ipy_user_conf.py), but some extensions
+require additional steps, for example::
+
+    [c:p]|192> import ipy_traits_completer
+    [c:p]|193> ipy_traits_completer.activate()    
+
+Note that extensions, even if provided in the stock IPython
+installation, are not guaranteed to have the same requirements as the
+rest of IPython - an extension may require external libraries or a
+newer version of Python than what IPython officially requires. An
+extension may also be under a more restrictive license than IPython
+(e.g. ipy_bzr is under GPL).
+
+Just for reference, the list of bundled extensions at the time of
+writing is below:
+
+astyle.py clearcmd.py envpersist.py ext_rescapture.py ibrowse.py
+igrid.py InterpreterExec.py InterpreterPasteInput.py ipipe.py
+ipy_app_completers.py ipy_autoreload.py ipy_bzr.py ipy_completers.py
+ipy_constants.py ipy_defaults.py ipy_editors.py ipy_exportdb.py
+ipy_extutil.py ipy_fsops.py ipy_gnuglobal.py ipy_kitcfg.py
+ipy_legacy.py ipy_leo.py ipy_p4.py ipy_profile_doctest.py
+ipy_profile_none.py ipy_profile_scipy.py ipy_profile_sh.py
+ipy_profile_zope.py ipy_pydb.py ipy_rehashdir.py ipy_render.py
+ipy_server.py ipy_signals.py ipy_stock_completers.py
+ipy_system_conf.py ipy_traits_completer.py ipy_vimserver.py
+ipy_which.py ipy_workdir.py jobctrl.py ledit.py numeric_formats.py
+PhysicalQInput.py PhysicalQInteractive.py pickleshare.py
+pspersistence.py win32clip.py __init__.py
  No newline at end of file

docs/source/interactive/index.txt

@@ -0,0 +1,11 b''
+==================================
+Using IPython for interactive work
+==================================
+
+.. toctree::
+   :maxdepth: 1
+
+   tutorial.txt
+   reference.txt
+   shell.txt
+   extension_api.txt

docs/source/interactive/reference.txt

@@ -0,0 +1,3163 b''
+.. IPython documentation master file, created by sphinx-quickstart.py on Mon Mar 24 17:01:34 2008.
+   You can adapt this file completely to your liking, but it should at least
+   contain the root 'toctree' directive.
+
+=================
+IPython reference
+=================
+
+.. contents::
+
+.. _Command line options:
+
+Command-line usage
+==================
+
+You start IPython with the command::
+
+    $ ipython [options] files
+
+If invoked with no options, it executes all the files listed in sequence
+and drops you into the interpreter while still acknowledging any options
+you may have set in your ipythonrc file. This behavior is different from
+standard Python, which when called as python -i will only execute one
+file and ignore your configuration setup.
+
+Please note that some of the configuration options are not available at
+the command line, simply because they are not practical here. Look into
+your ipythonrc configuration file for details on those. This file
+typically installed in the $HOME/.ipython directory. For Windows users,
+$HOME resolves to C:\\Documents and Settings\\YourUserName in most
+instances. In the rest of this text, we will refer to this directory as
+IPYTHONDIR.
+
+.. _Threading options:
+
+
+Special Threading Options
+-------------------------
+
+The following special options are ONLY valid at the beginning of the
+command line, and not later. This is because they control the initial-
+ization of ipython itself, before the normal option-handling mechanism
+is active.
+
+    -gthread, -qthread, -q4thread, -wthread, -pylab: 
+	Only one of these can be given, and it can only be given as
+	the first option passed to IPython (it will have no effect in
+	any other position).  They provide threading support for the
+	GTK, Qt (versions 3 and 4) and WXPython toolkits, and for the
+	matplotlib library.
+
+	With any of the first four options, IPython starts running a
+	separate thread for the graphical toolkit's operation, so that
+	you can open and control graphical elements from within an
+	IPython command line, without blocking. All four provide
+	essentially the same functionality, respectively for GTK, Qt3,
+	Qt4 and WXWidgets (via their Python interfaces).
+
+	Note that with -wthread, you can additionally use the
+	-wxversion option to request a specific version of wx to be
+	used.  This requires that you have the wxversion Python module
+	installed, which is part of recent wxPython distributions.
+
+	If -pylab is given, IPython loads special support for the mat
+	plotlib library (http://matplotlib.sourceforge.net), allowing
+	interactive usage of any of its backends as defined in the
+	user's ~/.matplotlib/matplotlibrc file. It automatically
+	activates GTK, Qt or WX threading for IPyhton if the choice of
+	matplotlib backend requires it. It also modifies the %run
+	command to correctly execute (without blocking) any
+	matplotlib-based script which calls show() at the end.
+
+    -tk
+	The -g/q/q4/wthread options, and -pylab (if matplotlib is
+	configured to use GTK, Qt3, Qt4 or WX), will normally block Tk
+	graphical interfaces. This means that when either GTK, Qt or WX
+	threading is active, any attempt to open a Tk GUI will result in a
+	dead window, and possibly cause the Python interpreter to crash.
+	An extra option, -tk, is available to address this issue. It can
+	only be given as a second option after any of the above (-gthread,
+	-wthread or -pylab).
+
+	If -tk is given, IPython will try to coordinate Tk threading
+	with GTK, Qt or WX. This is however potentially unreliable, and
+	you will have to test on your platform and Python configuration to
+	determine whether it works for you. Debian users have reported
+	success, apparently due to the fact that Debian builds all of Tcl,
+	Tk, Tkinter and Python with pthreads support. Under other Linux
+	environments (such as Fedora Core 2/3), this option has caused
+	random crashes and lockups of the Python interpreter. Under other
+	operating systems (Mac OSX and Windows), you'll need to try it to
+	find out, since currently no user reports are available.
+    
+	There is unfortunately no way for IPython to determine at run time
+	whether -tk will work reliably or not, so you will need to do some
+	experiments before relying on it for regular work.
+
+
+
+Regular Options
+---------------
+
+After the above threading options have been given, regular options can
+follow in any order. All options can be abbreviated to their shortest
+non-ambiguous form and are case-sensitive. One or two dashes can be
+used. Some options have an alternate short form, indicated after a ``|``.
+
+Most options can also be set from your ipythonrc configuration file. See
+the provided example for more details on what the options do. Options
+given at the command line override the values set in the ipythonrc file.
+
+All options with a [no] prepended can be specified in negated form
+(-nooption instead of -option) to turn the feature off.
+
+    -help  print a help message and exit.
+
+    -pylab
+	this can only be given as the first option passed to IPython
+	(it will have no effect in any other position). It adds
+	special support for the matplotlib library
+	(http://matplotlib.sourceforge.ne), allowing interactive usage
+	of any of its backends as defined in the user's .matplotlibrc
+	file.  It automatically activates GTK or WX threading for
+	IPyhton if the choice of matplotlib backend requires it. It
+	also modifies the %run command to correctly execute (without
+	blocking) any matplotlib-based script which calls show() at
+	the end. See `Matplotlib support`_ for more details.
+
+    -autocall <val>
+	Make IPython automatically call any callable object even if you
+	didn't type explicit parentheses. For example, 'str 43' becomes
+	'str(43)' automatically. The value can be '0' to disable the feature,
+	'1' for smart autocall, where it is not applied if there are no more
+	arguments on the line, and '2' for full autocall, where all callable
+	objects are automatically called (even if no arguments are
+	present). The default is '1'.
+
+    -[no]autoindent    
+	Turn automatic indentation on/off.
+
+    -[no]automagic 
+	make magic commands automatic (without needing their first character
+	to be %). Type %magic at the IPython prompt for more information.
+
+    -[no]autoedit_syntax 
+	When a syntax error occurs after editing a file, automatically
+	open the file to the trouble causing line for convenient
+	fixing.
+
+    -[no]banner		Print the initial information banner (default on).
+
+    -c <command>
+	execute the given command string. This is similar to the -c
+	option in the normal Python interpreter.
+
+    -cache_size, cs <n> 
+	size of the output cache (maximum number of entries to hold in
+	memory). The default is 1000, you can change it permanently in your
+	config file. Setting it to 0 completely disables the caching system,
+	and the minimum value accepted is 20 (if you provide a value less than
+	20, it is reset to 0 and a warning is issued) This limit is defined
+	because otherwise you'll spend more time re-flushing a too small cache
+	than working.
+
+    -classic, cl 
+	Gives IPython a similar feel to the classic Python
+	prompt.
+
+    -colors <scheme> 
+	Color scheme for prompts and exception reporting. Currently
+	implemented: NoColor, Linux and LightBG.
+
+    -[no]color_info 
+	IPython can display information about objects via a set of functions,
+	and optionally can use colors for this, syntax highlighting source
+	code and various other elements.  However, because this information is
+	passed through a pager (like 'less') and many pagers get confused with
+	color codes, this option is off by default. You can test it and turn
+	it on permanently in your ipythonrc file if it works for you. As a
+	reference, the 'less' pager supplied with Mandrake 8.2 works ok, but
+	that in RedHat 7.2 doesn't.
+
+	Test it and turn it on permanently if it works with your
+	system. The magic function %color_info allows you to toggle this
+	interactively for testing.
+
+    -[no]debug 
+	Show information about the loading process. Very useful to pin down
+	problems with your configuration files or to get details about
+	session restores.
+
+    -[no]deep_reload: 
+	IPython can use the deep_reload module which reloads changes in
+	modules recursively (it replaces the reload() function, so you don't
+	need to change anything to use it).  deep_reload() forces a full
+	reload of modules whose code may have changed, which the default
+	reload() function does not.
+
+	When deep_reload is off, IPython will use the normal reload(),
+	but deep_reload will still be available as dreload(). This
+	feature is off by default [which means that you have both
+	normal reload() and dreload()].
+
+    -editor <name>
+	Which editor to use with the %edit command. By default,
+	IPython will honor your EDITOR environment variable (if not
+	set, vi is the Unix default and notepad the Windows one).
+	Since this editor is invoked on the fly by IPython and is
+	meant for editing small code snippets, you may want to use a
+	small, lightweight editor here (in case your default EDITOR is
+	something like Emacs).
+
+    -ipythondir <name> 
+	name of your IPython configuration directory IPYTHONDIR. This
+	can also be specified through the environment variable
+	IPYTHONDIR.
+
+    -log, l 
+	generate a log file of all input. The file is named
+	ipython_log.py in your current directory (which prevents logs
+	from multiple IPython sessions from trampling each other). You
+	can use this to later restore a session by loading your
+	logfile as a file to be executed with option -logplay (see
+	below).
+
+    -logfile, lf <name>   specify the name of your logfile.
+
+    -logplay, lp <name> 
+
+      you can replay a previous log. For restoring a session as close as
+      possible to the state you left it in, use this option (don't just run
+      the logfile). With -logplay, IPython will try to reconstruct the
+      previous working environment in full, not just execute the commands in
+      the logfile.
+
+      When a session is restored, logging is automatically turned on
+      again with the name of the logfile it was invoked with (it is
+      read from the log header). So once you've turned logging on for
+      a session, you can quit IPython and reload it as many times as
+      you want and it will continue to log its history and restore
+      from the beginning every time.
+      
+      Caveats: there are limitations in this option. The history
+      variables _i*,_* and _dh don't get restored properly. In the
+      future we will try to implement full session saving by writing
+      and retrieving a 'snapshot' of the memory state of IPython. But
+      our first attempts failed because of inherent limitations of
+      Python's Pickle module, so this may have to wait.
+
+    -[no]messages   
+	Print messages which IPython collects about its startup
+	process (default on).
+
+    -[no]pdb
+	Automatically call the pdb debugger after every uncaught
+	exception. If you are used to debugging using pdb, this puts
+	you automatically inside of it after any call (either in
+	IPython or in code called by it) which triggers an exception
+	which goes uncaught.
+
+    -pydb
+	Makes IPython use the third party "pydb" package as debugger,
+	instead of pdb. Requires that pydb is installed.
+	
+    -[no]pprint
+	ipython can optionally use the pprint (pretty printer) module
+	for displaying results. pprint tends to give a nicer display
+	of nested data structures. If you like it, you can turn it on
+	permanently in your config file (default off).
+
+    -profile, p <name>
+
+	assume that your config file is ipythonrc-<name> or
+	ipy_profile_<name>.py (looks in current dir first, then in
+	IPYTHONDIR).  This is a quick way to keep and load multiple
+	config files for different tasks, especially if you use the
+	include option of config files. You can keep a basic
+	IPYTHONDIR/ipythonrc file and then have other 'profiles' which
+	include this one and load extra things for particular
+	tasks. For example:
+
+	1. $HOME/.ipython/ipythonrc : load basic things you always want.
+	2. $HOME/.ipython/ipythonrc-math : load (1) and basic math-related modules.
+	3. $HOME/.ipython/ipythonrc-numeric : load (1) and Numeric and plotting modules.
+
+	Since it is possible to create an endless loop by having
+	circular file inclusions, IPython will stop if it reaches 15
+	recursive inclusions.
+
+    -prompt_in1, pi1 <string>
+	Specify the string used for input prompts. Note that if you
+	are using numbered prompts, the number is represented with a
+	'\#' in the string. Don't forget to quote strings with spaces
+	embedded in them. Default: 'In [\#]:'.  Sec. Prompts_
+	discusses in detail all the available escapes to customize
+	your prompts.
+
+    -prompt_in2, pi2 <string>
+	Similar to the previous option, but used for the continuation
+	prompts. The special sequence '\D' is similar to '\#', but
+	with all digits replaced dots (so you can have your
+	continuation prompt aligned with your input prompt).  Default:
+	' .\D.:' (note three spaces at the start for alignment with
+	'In [\#]').
+
+    -prompt_out,po <string> 
+	String used for output prompts, also uses numbers like
+	prompt_in1. Default: 'Out[\#]:'
+
+    -quick   start in bare bones mode (no config file loaded).
+
+    -rcfile <name>   
+	name of your IPython resource configuration file. Normally
+	IPython loads ipythonrc (from current directory) or
+	IPYTHONDIR/ipythonrc.
+
+	If the loading of your config file fails, IPython starts with
+	a bare bones configuration (no modules loaded at all).
+
+    -[no]readline
+	use the readline library, which is needed to support name
+	completion and command history, among other things.  It is
+	enabled by default, but may cause problems for users of
+	X/Emacs in Python comint or shell buffers.
+
+	Note that X/Emacs 'eterm' buffers (opened with M-x term) support
+	IPython's readline and syntax coloring fine, only 'emacs' (M-x
+	shell and C-c !) buffers do not.
+
+    -screen_length, sl <n>
+	number of lines of your screen. This is used to control
+	printing of very long strings. Strings longer than this number
+	of lines will be sent through a pager instead of directly
+	printed.
+
+	The default value for this is 0, which means IPython will
+	auto-detect your screen size every time it needs to print certain
+	potentially long strings (this doesn't change the behavior of the
+	'print' keyword, it's only triggered internally). If for some
+	reason this isn't working well (it needs curses support), specify
+	it yourself. Otherwise don't change the default.
+
+    -separate_in, si <string>
+
+	separator before input prompts.
+	Default: '\n'
+
+    -separate_out, so <string>  
+        separator before output prompts.
+        Default: nothing.
+
+    -separate_out2, so2
+	separator after output prompts.
+	Default: nothing.
+	For these three options, use the value 0 to specify no separator.
+
+    -nosep   
+	shorthand for '-SeparateIn 0 -SeparateOut 0 -SeparateOut2
+	0'. Simply removes all input/output separators.
+
+    -upgrade 
+	allows you to upgrade your IPYTHONDIR configuration when you
+	install a new version of IPython. Since new versions may
+	include new command line options or example files, this copies
+	updated ipythonrc-type files. However, it backs up (with a
+	.old extension) all files which it overwrites so that you can
+	merge back any customizations you might have in your personal
+	files. Note that you should probably use %upgrade instead,
+	it's a safer alternative.
+
+
+    -Version    print version information and exit.
+
+    -wxversion <string> 
+	Select a specific version of wxPython (used in conjunction
+	with -wthread). Requires the wxversion module, part of recent
+	wxPython distributions
+
+    -xmode <modename>
+
+	Mode for exception reporting.
+
+	Valid modes: Plain, Context and Verbose.
+
+	* Plain: similar to python's normal traceback printing.
+	* Context: prints 5 lines of context source code around each
+	  line in the traceback.
+	* Verbose: similar to Context, but additionally prints the
+	  variables currently visible where the exception happened
+	  (shortening their strings if too long). This can potentially be
+	  very slow, if you happen to have a huge data structure whose
+	  string representation is complex to compute. Your computer may
+	  appear to freeze for a while with cpu usage at 100%. If this
+	  occurs, you can cancel the traceback with Ctrl-C (maybe hitting it
+	  more than once).
+
+Interactive use
+===============
+
+Warning: IPython relies on the existence of a global variable called
+_ip which controls the shell itself. If you redefine _ip to anything,
+bizarre behavior will quickly occur.
+
+Other than the above warning, IPython is meant to work as a drop-in
+replacement for the standard interactive interpreter. As such, any code
+which is valid python should execute normally under IPython (cases where
+this is not true should be reported as bugs). It does, however, offer
+many features which are not available at a standard python prompt. What
+follows is a list of these.
+
+
+Caution for Windows users
+-------------------------
+
+Windows, unfortunately, uses the '\' character as a path
+separator. This is a terrible choice, because '\' also represents the
+escape character in most modern programming languages, including
+Python. For this reason, using '/' character is recommended if you
+have problems with ``\``.  However, in Windows commands '/' flags
+options, so you can not use it for the root directory. This means that
+paths beginning at the root must be typed in a contrived manner like:
+``%copy \opt/foo/bar.txt \tmp``
+
+.. _magic:
+
+Magic command system
+--------------------
+
+IPython will treat any line whose first character is a % as a special
+call to a 'magic' function. These allow you to control the behavior of
+IPython itself, plus a lot of system-type features. They are all
+prefixed with a % character, but parameters are given without
+parentheses or quotes.
+
+Example: typing '%cd mydir' (without the quotes) changes you working
+directory to 'mydir', if it exists.
+
+If you have 'automagic' enabled (in your ipythonrc file, via the command
+line option -automagic or with the %automagic function), you don't need
+to type in the % explicitly. IPython will scan its internal list of
+magic functions and call one if it exists. With automagic on you can
+then just type 'cd mydir' to go to directory 'mydir'. The automagic
+system has the lowest possible precedence in name searches, so defining
+an identifier with the same name as an existing magic function will
+shadow it for automagic use. You can still access the shadowed magic
+function by explicitly using the % character at the beginning of the line.
+
+An example (with automagic on) should clarify all this::
+
+    In [1]: cd ipython # %cd is called by automagic
+
+    /home/fperez/ipython
+
+    In [2]: cd=1 # now cd is just a variable
+
+    In [3]: cd .. # and doesn't work as a function anymore
+
+    ------------------------------
+
+        File "<console>", line 1
+
+          cd ..
+
+              ^
+
+    SyntaxError: invalid syntax
+
+    In [4]: %cd .. # but %cd always works
+
+    /home/fperez
+
+    In [5]: del cd # if you remove the cd variable
+
+    In [6]: cd ipython # automagic can work again
+
+    /home/fperez/ipython
+
+You can define your own magic functions to extend the system. The
+following example defines a new magic command, %impall::
+
+    import IPython.ipapi 
+
+    ip = IPython.ipapi.get()
+
+    def doimp(self, arg):
+
+        ip = self.api
+
+        ip.ex("import %s; reload(%s); from %s import *" % (
+
+        arg,arg,arg)
+
+        )
+
+    ip.expose_magic('impall', doimp)
+
+You can also define your own aliased names for magic functions. In your
+ipythonrc file, placing a line like:
+
+execute __IP.magic_cl = __IP.magic_clear
+
+will define %cl as a new name for %clear.
+
+Type %magic for more information, including a list of all available
+magic functions at any time and their docstrings. You can also type
+%magic_function_name? (see sec. 6.4 <#sec:dyn-object-info> for
+information on the '?' system) to get information about any particular
+magic function you are interested in.
+
+
+Magic commands
+--------------
+
+The rest of this section is automatically generated for each release
+from the docstrings in the IPython code. Therefore the formatting is
+somewhat minimal, but this method has the advantage of having
+information always in sync with the code.
+
+A list of all the magic commands available in IPython's default
+installation follows. This is similar to what you'll see by simply
+typing %magic at the prompt, but that will also give you information
+about magic commands you may have added as part of your personal
+customizations.
+
+.. magic_start
+
+**%Exit**::
+
+	Exit IPython without confirmation.
+
+**%Pprint**::
+
+	Toggle pretty printing on/off.
+
+**%alias**::
+
+	Define an alias for a system command.
+
+        '%alias alias_name cmd' defines 'alias_name' as an alias for 'cmd'
+
+        Then, typing 'alias_name params' will execute the system command 'cmd
+        params' (from your underlying operating system).
+
+        Aliases have lower precedence than magic functions and Python normal
+        variables, so if 'foo' is both a Python variable and an alias, the
+        alias can not be executed until 'del foo' removes the Python variable.
+
+        You can use the %l specifier in an alias definition to represent the
+        whole line when the alias is called.  For example:
+
+          In [2]: alias all echo "Input in brackets: <%l>"\
+          In [3]: all hello world\
+          Input in brackets: <hello world>
+
+        You can also define aliases with parameters using %s specifiers (one
+        per parameter):
+        
+          In [1]: alias parts echo first %s second %s\
+          In [2]: %parts A B\
+          first A second B\
+          In [3]: %parts A\
+          Incorrect number of arguments: 2 expected.\
+          parts is an alias to: 'echo first %s second %s'
+
+        Note that %l and %s are mutually exclusive.  You can only use one or
+        the other in your aliases.
+
+        Aliases expand Python variables just like system calls using ! or !! 
+        do: all expressions prefixed with '$' get expanded.  For details of
+        the semantic rules, see PEP-215:
+        http://www.python.org/peps/pep-0215.html.  This is the library used by
+        IPython for variable expansion.  If you want to access a true shell
+        variable, an extra $ is necessary to prevent its expansion by IPython:
+
+        In [6]: alias show echo\
+        In [7]: PATH='A Python string'\
+        In [8]: show $PATH\
+        A Python string\
+        In [9]: show $$PATH\
+        /usr/local/lf9560/bin:/usr/local/intel/compiler70/ia32/bin:...
+
+        You can use the alias facility to acess all of $PATH.  See the %rehash
+        and %rehashx functions, which automatically create aliases for the
+        contents of your $PATH.
+
+        If called with no parameters, %alias prints the current alias table.
+
+**%autocall**::
+
+	Make functions callable without having to type parentheses.
+
+        Usage:
+
+           %autocall [mode]
+
+        The mode can be one of: 0->Off, 1->Smart, 2->Full.  If not given, the
+        value is toggled on and off (remembering the previous state).
+
+        In more detail, these values mean:
+
+        0 -> fully disabled
+
+        1 -> active, but do not apply if there are no arguments on the line.
+
+        In this mode, you get:
+
+        In [1]: callable
+        Out[1]: <built-in function callable>
+
+        In [2]: callable 'hello'
+        ------> callable('hello')
+        Out[2]: False
+
+        2 -> Active always.  Even if no arguments are present, the callable
+        object is called:
+
+        In [4]: callable
+        ------> callable()
+
+        Note that even with autocall off, you can still use '/' at the start of
+        a line to treat the first argument on the command line as a function
+        and add parentheses to it:
+
+        In [8]: /str 43
+        ------> str(43)
+        Out[8]: '43'
+
+**%autoindent**::
+
+	Toggle autoindent on/off (if available).
+
+**%automagic**::
+
+	Make magic functions callable without having to type the initial %.
+
+        Without argumentsl toggles on/off (when off, you must call it as
+        %automagic, of course).  With arguments it sets the value, and you can
+        use any of (case insensitive):
+
+         - on,1,True: to activate
+
+         - off,0,False: to deactivate.
+
+        Note that magic functions have lowest priority, so if there's a
+        variable whose name collides with that of a magic fn, automagic won't
+        work for that function (you get the variable instead). However, if you
+        delete the variable (del var), the previously shadowed magic function
+        becomes visible to automagic again.
+
+**%bg**::
+
+	Run a job in the background, in a separate thread.
+
+        For example,
+
+          %bg myfunc(x,y,z=1)
+
+        will execute 'myfunc(x,y,z=1)' in a background thread.  As soon as the
+        execution starts, a message will be printed indicating the job
+        number.  If your job number is 5, you can use
+
+          myvar = jobs.result(5)  or  myvar = jobs[5].result
+
+        to assign this result to variable 'myvar'.
+
+        IPython has a job manager, accessible via the 'jobs' object.  You can
+        type jobs? to get more information about it, and use jobs.<TAB> to see
+        its attributes.  All attributes not starting with an underscore are
+        meant for public use.
+
+        In particular, look at the jobs.new() method, which is used to create
+        new jobs.  This magic %bg function is just a convenience wrapper
+        around jobs.new(), for expression-based jobs.  If you want to create a
+        new job with an explicit function object and arguments, you must call
+        jobs.new() directly.
+
+        The jobs.new docstring also describes in detail several important
+        caveats associated with a thread-based model for background job
+        execution.  Type jobs.new? for details.
+
+        You can check the status of all jobs with jobs.status().
+
+        The jobs variable is set by IPython into the Python builtin namespace.
+        If you ever declare a variable named 'jobs', you will shadow this
+        name.  You can either delete your global jobs variable to regain
+        access to the job manager, or make a new name and assign it manually
+        to the manager (stored in IPython's namespace).  For example, to
+        assign the job manager to the Jobs name, use:
+
+          Jobs = __builtins__.jobs
+
+**%bookmark**::
+
+	Manage IPython's bookmark system.
+
+        %bookmark <name>       - set bookmark to current dir
+        %bookmark <name> <dir> - set bookmark to <dir>
+        %bookmark -l           - list all bookmarks
+        %bookmark -d <name>    - remove bookmark
+        %bookmark -r           - remove all bookmarks
+
+        You can later on access a bookmarked folder with:
+          %cd -b <name>
+        or simply '%cd <name>' if there is no directory called <name> AND
+        there is such a bookmark defined.
+
+        Your bookmarks persist through IPython sessions, but they are
+        associated with each profile.
+
+**%cd**::
+
+	Change the current working directory.
+
+        This command automatically maintains an internal list of directories
+        you visit during your IPython session, in the variable _dh. The
+        command %dhist shows this history nicely formatted. You can also
+        do 'cd -<tab>' to see directory history conveniently.
+
+        Usage:
+
+          cd 'dir': changes to directory 'dir'.
+
+          cd -: changes to the last visited directory.
+
+          cd -<n>: changes to the n-th directory in the directory history.
+
+          cd -b <bookmark_name>: jump to a bookmark set by %bookmark
+             (note: cd <bookmark_name> is enough if there is no
+              directory <bookmark_name>, but a bookmark with the name exists.)
+              'cd -b <tab>' allows you to tab-complete bookmark names. 
+
+        Options:
+
+        -q: quiet.  Do not print the working directory after the cd command is
+        executed.  By default IPython's cd command does print this directory,
+        since the default prompts do not display path information.
+        
+        Note that !cd doesn't work for this purpose because the shell where
+        !command runs is immediately discarded after executing 'command'.
+
+**%clear**::
+
+	 Clear various data (e.g. stored history data)
+    
+    %clear out - clear output history
+    %clear in  - clear input history
+    %clear shadow_compress - Compresses shadow history (to speed up ipython)
+    %clear shadow_nuke - permanently erase all entries in shadow history
+    %clear dhist - clear dir history
+
+**%color_info**::
+
+	Toggle color_info.
+
+        The color_info configuration parameter controls whether colors are
+        used for displaying object details (by things like %psource, %pfile or
+        the '?' system). This function toggles this value with each call.
+
+        Note that unless you have a fairly recent pager (less works better
+        than more) in your system, using colored object information displays
+        will not work properly. Test it and see.
+
+**%colors**::
+
+	Switch color scheme for prompts, info system and exception handlers.
+
+        Currently implemented schemes: NoColor, Linux, LightBG.
+
+        Color scheme names are not case-sensitive.
+
+**%cpaste**::
+
+	Allows you to paste & execute a pre-formatted code block from clipboard
+        
+        You must terminate the block with '--' (two minus-signs) alone on the
+        line. You can also provide your own sentinel with '%paste -s %%' ('%%' 
+        is the new sentinel for this operation)
+        
+        The block is dedented prior to execution to enable execution of method
+        definitions. '>' and '+' characters at the beginning of a line are
+        ignored, to allow pasting directly from e-mails or diff files. The
+        executed block is also assigned to variable named 'pasted_block' for
+        later editing with '%edit pasted_block'.
+        
+        You can also pass a variable name as an argument, e.g. '%cpaste foo'.
+        This assigns the pasted block to variable 'foo' as string, without 
+        dedenting or executing it.
+        
+        Do not be alarmed by garbled output on Windows (it's a readline bug). 
+        Just press enter and type -- (and press enter again) and the block 
+        will be what was just pasted.
+        
+        IPython statements (magics, shell escapes) are not supported (yet).
+
+**%debug**::
+
+	Activate the interactive debugger in post-mortem mode.
+
+        If an exception has just occurred, this lets you inspect its stack
+        frames interactively.  Note that this will always work only on the last
+        traceback that occurred, so you must call this quickly after an
+        exception that you wish to inspect has fired, because if another one
+        occurs, it clobbers the previous one.
+
+        If you want IPython to automatically do this on every exception, see
+        the %pdb magic for more details.
+
+**%dhist**::
+
+	Print your history of visited directories.
+
+        %dhist       -> print full history\
+        %dhist n     -> print last n entries only\
+        %dhist n1 n2 -> print entries between n1 and n2 (n1 not included)\
+
+        This history is automatically maintained by the %cd command, and
+        always available as the global list variable _dh. You can use %cd -<n>
+        to go to directory number <n>.
+        
+        Note that most of time, you should view directory history by entering
+        cd -<TAB>.
+
+**%dirs**::
+
+	Return the current directory stack.
+
+**%doctest_mode**::
+
+	Toggle doctest mode on and off.
+
+        This mode allows you to toggle the prompt behavior between normal
+        IPython prompts and ones that are as similar to the default IPython
+        interpreter as possible.
+
+        It also supports the pasting of code snippets that have leading '>>>'
+        and '...' prompts in them.  This means that you can paste doctests from
+        files or docstrings (even if they have leading whitespace), and the
+        code will execute correctly.  You can then use '%history -tn' to see
+        the translated history without line numbers; this will give you the
+        input after removal of all the leading prompts and whitespace, which
+        can be pasted back into an editor.
+
+        With these features, you can switch into this mode easily whenever you
+        need to do testing and changes to doctests, without having to leave
+        your existing IPython session.
+
+**%ed**::
+
+	Alias to %edit.
+
+**%edit**::
+
+	Bring up an editor and execute the resulting code.
+
+        Usage:
+          %edit [options] [args]
+
+        %edit runs IPython's editor hook.  The default version of this hook is
+        set to call the __IPYTHON__.rc.editor command.  This is read from your
+        environment variable $EDITOR.  If this isn't found, it will default to
+        vi under Linux/Unix and to notepad under Windows.  See the end of this
+        docstring for how to change the editor hook.
+
+        You can also set the value of this editor via the command line option
+        '-editor' or in your ipythonrc file. This is useful if you wish to use
+        specifically for IPython an editor different from your typical default
+        (and for Windows users who typically don't set environment variables).
+
+        This command allows you to conveniently edit multi-line code right in
+        your IPython session.
+        
+        If called without arguments, %edit opens up an empty editor with a
+        temporary file and will execute the contents of this file when you
+        close it (don't forget to save it!).
+
+
+        Options:
+
+        -n <number>: open the editor at a specified line number.  By default,
+        the IPython editor hook uses the unix syntax 'editor +N filename', but
+        you can configure this by providing your own modified hook if your
+        favorite editor supports line-number specifications with a different
+        syntax.
+        
+        -p: this will call the editor with the same data as the previous time
+        it was used, regardless of how long ago (in your current session) it
+        was.
+
+        -r: use 'raw' input.  This option only applies to input taken from the
+        user's history.  By default, the 'processed' history is used, so that
+        magics are loaded in their transformed version to valid Python.  If
+        this option is given, the raw input as typed as the command line is
+        used instead.  When you exit the editor, it will be executed by
+        IPython's own processor.
+        
+        -x: do not execute the edited code immediately upon exit. This is
+        mainly useful if you are editing programs which need to be called with
+        command line arguments, which you can then do using %run.
+
+
+        Arguments:
+
+        If arguments are given, the following possibilites exist:
+
+        - The arguments are numbers or pairs of colon-separated numbers (like
+        1 4:8 9). These are interpreted as lines of previous input to be
+        loaded into the editor. The syntax is the same of the %macro command.
+
+        - If the argument doesn't start with a number, it is evaluated as a
+        variable and its contents loaded into the editor. You can thus edit
+        any string which contains python code (including the result of
+        previous edits).
+
+        - If the argument is the name of an object (other than a string),
+        IPython will try to locate the file where it was defined and open the
+        editor at the point where it is defined. You can use `%edit function`
+        to load an editor exactly at the point where 'function' is defined,
+        edit it and have the file be executed automatically.
+
+        If the object is a macro (see %macro for details), this opens up your
+        specified editor with a temporary file containing the macro's data.
+        Upon exit, the macro is reloaded with the contents of the file.
+
+        Note: opening at an exact line is only supported under Unix, and some
+        editors (like kedit and gedit up to Gnome 2.8) do not understand the
+        '+NUMBER' parameter necessary for this feature. Good editors like
+        (X)Emacs, vi, jed, pico and joe all do.
+
+        - If the argument is not found as a variable, IPython will look for a
+        file with that name (adding .py if necessary) and load it into the
+        editor. It will execute its contents with execfile() when you exit,
+        loading any code in the file into your interactive namespace.
+
+        After executing your code, %edit will return as output the code you
+        typed in the editor (except when it was an existing file). This way
+        you can reload the code in further invocations of %edit as a variable,
+        via _<NUMBER> or Out[<NUMBER>], where <NUMBER> is the prompt number of
+        the output.
+
+        Note that %edit is also available through the alias %ed.
+
+        This is an example of creating a simple function inside the editor and
+        then modifying it. First, start up the editor:
+
+        In [1]: ed\
+        Editing... done. Executing edited code...\
+        Out[1]: 'def foo():\n    print "foo() was defined in an editing session"\n'
+
+        We can then call the function foo():
+        
+        In [2]: foo()\
+        foo() was defined in an editing session
+
+        Now we edit foo.  IPython automatically loads the editor with the
+        (temporary) file where foo() was previously defined:
+        
+        In [3]: ed foo\
+        Editing... done. Executing edited code...
+
+        And if we call foo() again we get the modified version:
+        
+        In [4]: foo()\
+        foo() has now been changed!
+
+        Here is an example of how to edit a code snippet successive
+        times. First we call the editor:
+
+        In [8]: ed\
+        Editing... done. Executing edited code...\
+        hello\
+        Out[8]: "print 'hello'\n"
+
+        Now we call it again with the previous output (stored in _):
+
+        In [9]: ed _\
+        Editing... done. Executing edited code...\
+        hello world\
+        Out[9]: "print 'hello world'\n"
+
+        Now we call it with the output #8 (stored in _8, also as Out[8]):
+
+        In [10]: ed _8\
+        Editing... done. Executing edited code...\
+        hello again\
+        Out[10]: "print 'hello again'\n"
+
+
+        Changing the default editor hook:
+
+        If you wish to write your own editor hook, you can put it in a
+        configuration file which you load at startup time.  The default hook
+        is defined in the IPython.hooks module, and you can use that as a
+        starting example for further modifications.  That file also has
+        general instructions on how to set a new hook for use once you've
+        defined it.
+
+**%env**::
+
+	List environment variables.
+
+**%exit**::
+
+	Exit IPython, confirming if configured to do so.
+
+        You can configure whether IPython asks for confirmation upon exit by
+        setting the confirm_exit flag in the ipythonrc file.
+
+**%hist**::
+
+	Alternate name for %history.
+
+**%history**::
+
+	Print input history (_i<n> variables), with most recent last.
+    
+    %history       -> print at most 40 inputs (some may be multi-line)\
+    %history n     -> print at most n inputs\
+    %history n1 n2 -> print inputs between n1 and n2 (n2 not included)\
+    
+    Each input's number <n> is shown, and is accessible as the
+    automatically generated variable _i<n>.  Multi-line statements are
+    printed starting at a new line for easy copy/paste.
+    
+
+    Options:
+
+      -n: do NOT print line numbers. This is useful if you want to get a
+      printout of many lines which can be directly pasted into a text
+      editor.
+
+      This feature is only available if numbered prompts are in use.
+
+      -t: (default) print the 'translated' history, as IPython understands it.
+      IPython filters your input and converts it all into valid Python source
+      before executing it (things like magics or aliases are turned into
+      function calls, for example). With this option, you'll see the native
+      history instead of the user-entered version: '%cd /' will be seen as
+      '_ip.magic("%cd /")' instead of '%cd /'.
+      
+      -r: print the 'raw' history, i.e. the actual commands you typed.
+      
+      -g: treat the arg as a pattern to grep for in (full) history.
+      This includes the "shadow history" (almost all commands ever written).
+      Use '%hist -g' to show full shadow history (may be very long).
+      In shadow history, every index nuwber starts with 0.
+
+      -f FILENAME: instead of printing the output to the screen, redirect it to
+       the given file.  The file is always overwritten, though IPython asks for
+       confirmation first if it already exists.
+
+**%logoff**::
+
+	Temporarily stop logging.
+
+        You must have previously started logging.
+
+**%logon**::
+
+	Restart logging.
+
+        This function is for restarting logging which you've temporarily
+        stopped with %logoff. For starting logging for the first time, you
+        must use the %logstart function, which allows you to specify an
+        optional log filename.
+
+**%logstart**::
+
+	Start logging anywhere in a session.
+
+        %logstart [-o|-r|-t] [log_name [log_mode]]
+
+        If no name is given, it defaults to a file named 'ipython_log.py' in your
+        current directory, in 'rotate' mode (see below).
+
+        '%logstart name' saves to file 'name' in 'backup' mode.  It saves your
+        history up to that point and then continues logging.
+
+        %logstart takes a second optional parameter: logging mode. This can be one
+        of (note that the modes are given unquoted):\
+          append: well, that says it.\
+          backup: rename (if exists) to name~ and start name.\
+          global: single logfile in your home dir, appended to.\
+          over  : overwrite existing log.\
+          rotate: create rotating logs name.1~, name.2~, etc.
+
+        Options:
+
+          -o: log also IPython's output.  In this mode, all commands which
+          generate an Out[NN] prompt are recorded to the logfile, right after
+          their corresponding input line.  The output lines are always
+          prepended with a '#[Out]# ' marker, so that the log remains valid
+          Python code.
+
+          Since this marker is always the same, filtering only the output from
+          a log is very easy, using for example a simple awk call:
+
+            awk -F'#\[Out\]# ' '{if($2) {print $2}}' ipython_log.py
+
+          -r: log 'raw' input.  Normally, IPython's logs contain the processed
+          input, so that user lines are logged in their final form, converted
+          into valid Python.  For example, %Exit is logged as
+          '_ip.magic("Exit").  If the -r flag is given, all input is logged
+          exactly as typed, with no transformations applied.
+
+          -t: put timestamps before each input line logged (these are put in
+          comments).
+
+**%logstate**::
+
+	Print the status of the logging system.
+
+**%logstop**::
+
+	Fully stop logging and close log file.
+
+        In order to start logging again, a new %logstart call needs to be made,
+        possibly (though not necessarily) with a new filename, mode and other
+        options.
+
+**%lsmagic**::
+
+	List currently available magic functions.
+
+**%macro**::
+
+	Define a set of input lines as a macro for future re-execution.
+
+        Usage:\
+          %macro [options] name n1-n2 n3-n4 ... n5 .. n6 ...
+
+        Options:
+        
+          -r: use 'raw' input.  By default, the 'processed' history is used,
+          so that magics are loaded in their transformed version to valid
+          Python.  If this option is given, the raw input as typed as the
+          command line is used instead.
+
+        This will define a global variable called `name` which is a string
+        made of joining the slices and lines you specify (n1,n2,... numbers
+        above) from your input history into a single string. This variable
+        acts like an automatic function which re-executes those lines as if
+        you had typed them. You just type 'name' at the prompt and the code
+        executes.
+
+        The notation for indicating number ranges is: n1-n2 means 'use line
+        numbers n1,...n2' (the endpoint is included).  That is, '5-7' means
+        using the lines numbered 5,6 and 7.
+
+        Note: as a 'hidden' feature, you can also use traditional python slice
+        notation, where N:M means numbers N through M-1.
+
+        For example, if your history contains (%hist prints it):
+        
+          44: x=1\
+          45: y=3\
+          46: z=x+y\
+          47: print x\
+          48: a=5\
+          49: print 'x',x,'y',y\
+
+        you can create a macro with lines 44 through 47 (included) and line 49
+        called my_macro with:
+
+          In [51]: %macro my_macro 44-47 49
+
+        Now, typing `my_macro` (without quotes) will re-execute all this code
+        in one pass.
+
+        You don't need to give the line-numbers in order, and any given line
+        number can appear multiple times. You can assemble macros with any
+        lines from your input history in any order.
+
+        The macro is a simple object which holds its value in an attribute,
+        but IPython's display system checks for macros and executes them as
+        code instead of printing them when you type their name.
+
+        You can view a macro's contents by explicitly printing it with:
+        
+          'print macro_name'.
+
+        For one-off cases which DON'T contain magic function calls in them you
+        can obtain similar results by explicitly executing slices from your
+        input history with:
+
+          In [60]: exec In[44:48]+In[49]
+
+**%magic**::
+
+	Print information about the magic function system.
+
+**%mglob**::
+
+	    This program allows specifying filenames with "mglob" mechanism.
+    Supported syntax in globs (wilcard matching patterns)::
+    
+     *.cpp ?ellowo*                
+         - obvious. Differs from normal glob in that dirs are not included.
+           Unix users might want to write this as: "*.cpp" "?ellowo*"
+     rec:/usr/share=*.txt,*.doc    
+         - get all *.txt and *.doc under /usr/share, 
+           recursively
+     rec:/usr/share
+         - All files under /usr/share, recursively
+     rec:*.py
+         - All .py files under current working dir, recursively
+     foo                           
+         - File or dir foo
+     !*.bak readme*                   
+         - readme*, exclude files ending with .bak
+     !.svn/ !.hg/ !*_Data/ rec:.
+         - Skip .svn, .hg, foo_Data dirs (and their subdirs) in recurse.
+           Trailing / is the key, \ does not work!
+     dir:foo                       
+         - the directory foo if it exists (not files in foo)
+     dir:*                         
+         - all directories in current folder
+     foo.py bar.* !h* rec:*.py
+         - Obvious. !h* exclusion only applies for rec:*.py.
+           foo.py is *not* included twice.
+     @filelist.txt
+         - All files listed in 'filelist.txt' file, on separate lines.
+
+**%page**::
+
+	Pretty print the object and display it through a pager.
+        
+        %page [options] OBJECT
+
+        If no object is given, use _ (last output).
+        
+        Options:
+
+          -r: page str(object), don't pretty-print it.
+
+**%pdb**::
+
+	Control the automatic calling of the pdb interactive debugger.
+
+        Call as '%pdb on', '%pdb 1', '%pdb off' or '%pdb 0'. If called without
+        argument it works as a toggle.
+
+        When an exception is triggered, IPython can optionally call the
+        interactive pdb debugger after the traceback printout. %pdb toggles
+        this feature on and off.
+
+        The initial state of this feature is set in your ipythonrc
+        configuration file (the variable is called 'pdb').
+
+        If you want to just activate the debugger AFTER an exception has fired,
+        without having to type '%pdb on' and rerunning your code, you can use
+        the %debug magic.
+
+**%pdef**::
+
+	Print the definition header for any callable object.
+
+        If the object is a class, print the constructor information.
+
+**%pdoc**::
+
+	Print the docstring for an object.
+
+        If the given object is a class, it will print both the class and the
+        constructor docstrings.
+
+**%pfile**::
+
+	Print (or run through pager) the file where an object is defined.
+
+        The file opens at the line where the object definition begins. IPython
+        will honor the environment variable PAGER if set, and otherwise will
+        do its best to print the file in a convenient form.
+
+        If the given argument is not an object currently defined, IPython will
+        try to interpret it as a filename (automatically adding a .py extension
+        if needed). You can thus use %pfile as a syntax highlighting code
+        viewer.
+
+**%pinfo**::
+
+	Provide detailed information about an object.
+    
+        '%pinfo object' is just a synonym for object? or ?object.
+
+**%popd**::
+
+	Change to directory popped off the top of the stack.
+
+**%profile**::
+
+	Print your currently active IPyhton profile.
+
+**%prun**::
+
+	Run a statement through the python code profiler.
+
+        Usage:\
+          %prun [options] statement
+
+        The given statement (which doesn't require quote marks) is run via the
+        python profiler in a manner similar to the profile.run() function.
+        Namespaces are internally managed to work correctly; profile.run
+        cannot be used in IPython because it makes certain assumptions about
+        namespaces which do not hold under IPython.
+
+        Options:
+
+        -l <limit>: you can place restrictions on what or how much of the
+        profile gets printed. The limit value can be:
+
+          * A string: only information for function names containing this string
+          is printed.
+
+          * An integer: only these many lines are printed.
+
+          * A float (between 0 and 1): this fraction of the report is printed
+          (for example, use a limit of 0.4 to see the topmost 40% only).
+
+        You can combine several limits with repeated use of the option. For
+        example, '-l __init__ -l 5' will print only the topmost 5 lines of
+        information about class constructors.
+
+        -r: return the pstats.Stats object generated by the profiling. This
+        object has all the information about the profile in it, and you can
+        later use it for further analysis or in other functions.
+
+       -s <key>: sort profile by given key. You can provide more than one key
+        by using the option several times: '-s key1 -s key2 -s key3...'. The
+        default sorting key is 'time'.
+
+        The following is copied verbatim from the profile documentation
+        referenced below:
+
+        When more than one key is provided, additional keys are used as
+        secondary criteria when the there is equality in all keys selected
+        before them.
+        
+        Abbreviations can be used for any key names, as long as the
+        abbreviation is unambiguous.  The following are the keys currently
+        defined:
+
+                Valid Arg       Meaning\
+                  "calls"      call count\
+                  "cumulative" cumulative time\
+                  "file"       file name\
+                  "module"     file name\
+                  "pcalls"     primitive call count\
+                  "line"       line number\
+                  "name"       function name\
+                  "nfl"        name/file/line\
+                  "stdname"    standard name\
+                  "time"       internal time
+
+        Note that all sorts on statistics are in descending order (placing
+        most time consuming items first), where as name, file, and line number
+        searches are in ascending order (i.e., alphabetical). The subtle
+        distinction between "nfl" and "stdname" is that the standard name is a
+        sort of the name as printed, which means that the embedded line
+        numbers get compared in an odd way.  For example, lines 3, 20, and 40
+        would (if the file names were the same) appear in the string order
+        "20" "3" and "40".  In contrast, "nfl" does a numeric compare of the
+        line numbers.  In fact, sort_stats("nfl") is the same as
+        sort_stats("name", "file", "line").
+
+        -T <filename>: save profile results as shown on screen to a text
+        file. The profile is still shown on screen.
+
+        -D <filename>: save (via dump_stats) profile statistics to given
+        filename. This data is in a format understod by the pstats module, and
+        is generated by a call to the dump_stats() method of profile
+        objects. The profile is still shown on screen.
+
+        If you want to run complete programs under the profiler's control, use
+        '%run -p [prof_opts] filename.py [args to program]' where prof_opts
+        contains profiler specific options as described here.
+        
+        You can read the complete documentation for the profile module with:\
+          In [1]: import profile; profile.help()
+
+**%psearch**::
+
+	Search for object in namespaces by wildcard.
+
+        %psearch [options] PATTERN [OBJECT TYPE]
+
+        Note: ? can be used as a synonym for %psearch, at the beginning or at
+        the end: both a*? and ?a* are equivalent to '%psearch a*'.  Still, the
+        rest of the command line must be unchanged (options come first), so
+        for example the following forms are equivalent
+
+        %psearch -i a* function
+        -i a* function?
+        ?-i a* function
+
+        Arguments:
+        
+          PATTERN
+
+          where PATTERN is a string containing * as a wildcard similar to its
+          use in a shell.  The pattern is matched in all namespaces on the
+          search path. By default objects starting with a single _ are not
+          matched, many IPython generated objects have a single
+          underscore. The default is case insensitive matching. Matching is
+          also done on the attributes of objects and not only on the objects
+          in a module.
+
+          [OBJECT TYPE]
+
+          Is the name of a python type from the types module. The name is
+          given in lowercase without the ending type, ex. StringType is
+          written string. By adding a type here only objects matching the
+          given type are matched. Using all here makes the pattern match all
+          types (this is the default).
+
+        Options:
+
+          -a: makes the pattern match even objects whose names start with a
+          single underscore.  These names are normally ommitted from the
+          search.
+
+          -i/-c: make the pattern case insensitive/sensitive.  If neither of
+          these options is given, the default is read from your ipythonrc
+          file.  The option name which sets this value is
+          'wildcards_case_sensitive'.  If this option is not specified in your
+          ipythonrc file, IPython's internal default is to do a case sensitive
+          search.
+
+          -e/-s NAMESPACE: exclude/search a given namespace.  The pattern you
+          specifiy can be searched in any of the following namespaces:
+          'builtin', 'user', 'user_global','internal', 'alias', where
+          'builtin' and 'user' are the search defaults.  Note that you should
+          not use quotes when specifying namespaces.
+
+          'Builtin' contains the python module builtin, 'user' contains all
+          user data, 'alias' only contain the shell aliases and no python
+          objects, 'internal' contains objects used by IPython.  The
+          'user_global' namespace is only used by embedded IPython instances,
+          and it contains module-level globals.  You can add namespaces to the
+          search with -s or exclude them with -e (these options can be given
+          more than once).
+    
+        Examples:
+       
+        %psearch a*            -> objects beginning with an a
+        %psearch -e builtin a* -> objects NOT in the builtin space starting in a
+        %psearch a* function   -> all functions beginning with an a
+        %psearch re.e*         -> objects beginning with an e in module re
+        %psearch r*.e*         -> objects that start with e in modules starting in r
+        %psearch r*.* string   -> all strings in modules beginning with r
+
+        Case sensitve search:
+       
+        %psearch -c a*         list all object beginning with lower case a
+
+        Show objects beginning with a single _:
+       
+        %psearch -a _*         list objects beginning with a single underscore
+
+**%psource**::
+
+	Print (or run through pager) the source code for an object.
+
+**%pushd**::
+
+	Place the current dir on stack and change directory.
+        
+        Usage:\
+          %pushd ['dirname']
+
+**%pwd**::
+
+	Return the current working directory path.
+
+**%pycat**::
+
+	Show a syntax-highlighted file through a pager.
+
+        This magic is similar to the cat utility, but it will assume the file
+        to be Python source and will show it with syntax highlighting.
+
+**%quickref**::
+
+	 Show a quick reference sheet
+
+**%quit**::
+
+	Exit IPython, confirming if configured to do so (like %exit)
+
+**%r**::
+
+	Repeat previous input.
+
+        Note: Consider using the more powerfull %rep instead!
+        
+        If given an argument, repeats the previous command which starts with
+        the same string, otherwise it just repeats the previous input.
+
+        Shell escaped commands (with ! as first character) are not recognized
+        by this system, only pure python code and magic commands.
+
+**%rehashdir**::
+
+	 Add executables in all specified dirs to alias table
+     
+    Usage:
+
+    %rehashdir c:/bin;c:/tools
+      - Add all executables under c:/bin and c:/tools to alias table, in 
+      order to make them directly executable from any directory.
+        
+      Without arguments, add all executables in current directory.
+
+**%rehashx**::
+
+	Update the alias table with all executable files in $PATH.
+
+        This version explicitly checks that every entry in $PATH is a file
+        with execute access (os.X_OK), so it is much slower than %rehash.
+
+        Under Windows, it checks executability as a match agains a
+        '|'-separated string of extensions, stored in the IPython config
+        variable win_exec_ext.  This defaults to 'exe|com|bat'.
+        
+        This function also resets the root module cache of module completer,
+        used on slow filesystems.
+
+**%rep**::
+
+	 Repeat a command, or get command to input line for editing
+
+    - %rep (no arguments):
+    
+    Place a string version of last computation result (stored in the special '_'
+    variable) to the next input prompt. Allows you to create elaborate command
+    lines without using copy-paste::
+    
+        $ l = ["hei", "vaan"]       
+        $ "".join(l)        
+        ==> heivaan        
+        $ %rep        
+        $ heivaan_ <== cursor blinking    
+    
+    %rep 45
+    
+    Place history line 45 to next input prompt. Use %hist to find out the
+    number.
+    
+    %rep 1-4 6-7 3
+    
+    Repeat the specified lines immediately. Input slice syntax is the same as
+    in %macro and %save.
+    
+    %rep foo
+    
+    Place the most recent line that has the substring "foo" to next input.
+    (e.g. 'svn ci -m foobar').
+
+**%reset**::
+
+	Resets the namespace by removing all names defined by the user.
+
+        Input/Output history are left around in case you need them.
+
+**%run**::
+
+	Run the named file inside IPython as a program.
+
+        Usage:\
+          %run [-n -i -t [-N<N>] -d [-b<N>] -p [profile options]] file [args]
+        
+        Parameters after the filename are passed as command-line arguments to
+        the program (put in sys.argv). Then, control returns to IPython's
+        prompt.
+
+        This is similar to running at a system prompt:\
+          $ python file args\
+        but with the advantage of giving you IPython's tracebacks, and of
+        loading all variables into your interactive namespace for further use
+        (unless -p is used, see below).
+
+        The file is executed in a namespace initially consisting only of
+        __name__=='__main__' and sys.argv constructed as indicated. It thus
+        sees its environment as if it were being run as a stand-alone program
+        (except for sharing global objects such as previously imported
+        modules). But after execution, the IPython interactive namespace gets
+        updated with all variables defined in the program (except for __name__
+        and sys.argv). This allows for very convenient loading of code for
+        interactive work, while giving each program a 'clean sheet' to run in.
+
+        Options:
+        
+        -n: __name__ is NOT set to '__main__', but to the running file's name
+        without extension (as python does under import).  This allows running
+        scripts and reloading the definitions in them without calling code
+        protected by an ' if __name__ == "__main__" ' clause.
+
+        -i: run the file in IPython's namespace instead of an empty one. This
+        is useful if you are experimenting with code written in a text editor
+        which depends on variables defined interactively.
+
+        -e: ignore sys.exit() calls or SystemExit exceptions in the script
+        being run.  This is particularly useful if IPython is being used to
+        run unittests, which always exit with a sys.exit() call.  In such
+        cases you are interested in the output of the test results, not in
+        seeing a traceback of the unittest module.
+
+        -t: print timing information at the end of the run.  IPython will give
+        you an estimated CPU time consumption for your script, which under
+        Unix uses the resource module to avoid the wraparound problems of
+        time.clock().  Under Unix, an estimate of time spent on system tasks
+        is also given (for Windows platforms this is reported as 0.0).
+
+        If -t is given, an additional -N<N> option can be given, where <N>
+        must be an integer indicating how many times you want the script to
+        run.  The final timing report will include total and per run results.
+
+        For example (testing the script uniq_stable.py):
+
+            In [1]: run -t uniq_stable
+
+            IPython CPU timings (estimated):\
+              User  :    0.19597 s.\
+              System:        0.0 s.\
+
+            In [2]: run -t -N5 uniq_stable
+
+            IPython CPU timings (estimated):\
+            Total runs performed: 5\
+              Times :      Total       Per run\
+              User  :   0.910862 s,  0.1821724 s.\
+              System:        0.0 s,        0.0 s.
+
+        -d: run your program under the control of pdb, the Python debugger.
+        This allows you to execute your program step by step, watch variables,
+        etc.  Internally, what IPython does is similar to calling:
+        
+          pdb.run('execfile("YOURFILENAME")')
+
+        with a breakpoint set on line 1 of your file.  You can change the line
+        number for this automatic breakpoint to be <N> by using the -bN option
+        (where N must be an integer).  For example:
+
+          %run -d -b40 myscript
+
+        will set the first breakpoint at line 40 in myscript.py.  Note that
+        the first breakpoint must be set on a line which actually does
+        something (not a comment or docstring) for it to stop execution.
+
+        When the pdb debugger starts, you will see a (Pdb) prompt.  You must
+        first enter 'c' (without qoutes) to start execution up to the first
+        breakpoint.
+
+        Entering 'help' gives information about the use of the debugger.  You
+        can easily see pdb's full documentation with "import pdb;pdb.help()"
+        at a prompt.
+
+        -p: run program under the control of the Python profiler module (which
+        prints a detailed report of execution times, function calls, etc).
+
+        You can pass other options after -p which affect the behavior of the
+        profiler itself. See the docs for %prun for details.
+
+        In this mode, the program's variables do NOT propagate back to the
+        IPython interactive namespace (because they remain in the namespace
+        where the profiler executes them).
+
+        Internally this triggers a call to %prun, see its documentation for
+        details on the options available specifically for profiling.
+
+        There is one special usage for which the text above doesn't apply:
+        if the filename ends with .ipy, the file is run as ipython script,
+        just as if the commands were written on IPython prompt.
+
+**%runlog**::
+
+	Run files as logs.
+
+        Usage:\
+          %runlog file1 file2 ...
+
+        Run the named files (treating them as log files) in sequence inside
+        the interpreter, and return to the prompt.  This is much slower than
+        %run because each line is executed in a try/except block, but it
+        allows running files with syntax errors in them.
+
+        Normally IPython will guess when a file is one of its own logfiles, so
+        you can typically use %run even for logs. This shorthand allows you to
+        force any file to be treated as a log file.
+
+**%save**::
+
+	Save a set of lines to a given filename.
+
+        Usage:\
+          %save [options] filename n1-n2 n3-n4 ... n5 .. n6 ...
+
+        Options:
+        
+          -r: use 'raw' input.  By default, the 'processed' history is used,
+          so that magics are loaded in their transformed version to valid
+          Python.  If this option is given, the raw input as typed as the
+          command line is used instead.
+
+        This function uses the same syntax as %macro for line extraction, but
+        instead of creating a macro it saves the resulting string to the
+        filename you specify.
+
+        It adds a '.py' extension to the file if you don't do so yourself, and
+        it asks for confirmation before overwriting existing files.
+
+**%sc**::
+
+	Shell capture - execute a shell command and capture its output.
+
+        DEPRECATED. Suboptimal, retained for backwards compatibility.
+        
+        You should use the form 'var = !command' instead. Example:
+         
+         "%sc -l myfiles = ls ~" should now be written as
+            
+         "myfiles = !ls ~"
+         
+        myfiles.s, myfiles.l and myfiles.n still apply as documented
+        below.
+
+        --
+        %sc [options] varname=command
+
+        IPython will run the given command using commands.getoutput(), and
+        will then update the user's interactive namespace with a variable
+        called varname, containing the value of the call.  Your command can
+        contain shell wildcards, pipes, etc.
+
+        The '=' sign in the syntax is mandatory, and the variable name you
+        supply must follow Python's standard conventions for valid names.
+        
+        (A special format without variable name exists for internal use)
+
+        Options:
+
+          -l: list output.  Split the output on newlines into a list before
+          assigning it to the given variable.  By default the output is stored
+          as a single string.
+
+          -v: verbose.  Print the contents of the variable.
+
+        In most cases you should not need to split as a list, because the
+        returned value is a special type of string which can automatically
+        provide its contents either as a list (split on newlines) or as a
+        space-separated string.  These are convenient, respectively, either
+        for sequential processing or to be passed to a shell command.
+
+        For example:
+
+            # Capture into variable a
+            In [9]: sc a=ls *py
+
+            # a is a string with embedded newlines
+            In [10]: a
+            Out[10]: 'setup.py win32_manual_post_install.py'
+
+            # which can be seen as a list:
+            In [11]: a.l
+            Out[11]: ['setup.py', 'win32_manual_post_install.py']
+
+            # or as a whitespace-separated string:
+            In [12]: a.s
+            Out[12]: 'setup.py win32_manual_post_install.py'
+
+            # a.s is useful to pass as a single command line:
+            In [13]: !wc -l $a.s
+              146 setup.py
+              130 win32_manual_post_install.py
+              276 total
+
+            # while the list form is useful to loop over:
+            In [14]: for f in a.l:
+               ....:      !wc -l $f
+               ....:
+            146 setup.py
+            130 win32_manual_post_install.py
+
+        Similiarly, the lists returned by the -l option are also special, in
+        the sense that you can equally invoke the .s attribute on them to
+        automatically get a whitespace-separated string from their contents:
+
+            In [1]: sc -l b=ls *py
+
+            In [2]: b
+            Out[2]: ['setup.py', 'win32_manual_post_install.py']
+
+            In [3]: b.s
+            Out[3]: 'setup.py win32_manual_post_install.py'
+
+        In summary, both the lists and strings used for ouptut capture have
+        the following special attributes:
+
+            .l (or .list) : value as list.
+            .n (or .nlstr): value as newline-separated string.
+            .s (or .spstr): value as space-separated string.
+
+**%store**::
+
+	Lightweight persistence for python variables.
+
+    Example:
+    
+    ville@badger[~]|1> A = ['hello',10,'world']\
+    ville@badger[~]|2> %store A\
+    ville@badger[~]|3> Exit
+    
+    (IPython session is closed and started again...)
+    
+    ville@badger:~$ ipython -p pysh\
+    ville@badger[~]|1> print A
+    
+    ['hello', 10, 'world']
+    
+    Usage:
+    
+    %store          - Show list of all variables and their current values\
+    %store <var>    - Store the *current* value of the variable to disk\
+    %store -d <var> - Remove the variable and its value from storage\
+    %store -z       - Remove all variables from storage\
+    %store -r       - Refresh all variables from store (delete current vals)\
+    %store foo >a.txt  - Store value of foo to new file a.txt\
+    %store foo >>a.txt - Append value of foo to file a.txt\   
+    
+    It should be noted that if you change the value of a variable, you
+    need to %store it again if you want to persist the new value.
+    
+    Note also that the variables will need to be pickleable; most basic
+    python types can be safely %stored.
+    
+    Also aliases can be %store'd across sessions.
+
+**%sx**::
+
+	Shell execute - run a shell command and capture its output.
+
+        %sx command
+
+        IPython will run the given command using commands.getoutput(), and
+        return the result formatted as a list (split on '\n').  Since the
+        output is _returned_, it will be stored in ipython's regular output
+        cache Out[N] and in the '_N' automatic variables.
+
+        Notes:
+
+        1) If an input line begins with '!!', then %sx is automatically
+        invoked.  That is, while:
+          !ls
+        causes ipython to simply issue system('ls'), typing
+          !!ls
+        is a shorthand equivalent to:
+          %sx ls
+        
+        2) %sx differs from %sc in that %sx automatically splits into a list,
+        like '%sc -l'.  The reason for this is to make it as easy as possible
+        to process line-oriented shell output via further python commands.
+        %sc is meant to provide much finer control, but requires more
+        typing.
+
+        3) Just like %sc -l, this is a list with special attributes:
+
+          .l (or .list) : value as list.
+          .n (or .nlstr): value as newline-separated string.
+          .s (or .spstr): value as whitespace-separated string.
+
+        This is very useful when trying to use such lists as arguments to
+        system commands.
+
+**%system_verbose**::
+
+	Set verbose printing of system calls.
+
+        If called without an argument, act as a toggle
+
+**%time**::
+
+	Time execution of a Python statement or expression.
+
+        The CPU and wall clock times are printed, and the value of the
+        expression (if any) is returned.  Note that under Win32, system time
+        is always reported as 0, since it can not be measured.
+
+        This function provides very basic timing functionality.  In Python
+        2.3, the timeit module offers more control and sophistication, so this
+        could be rewritten to use it (patches welcome).
+        
+        Some examples:
+
+          In [1]: time 2**128
+          CPU times: user 0.00 s, sys: 0.00 s, total: 0.00 s
+          Wall time: 0.00
+          Out[1]: 340282366920938463463374607431768211456L
+
+          In [2]: n = 1000000
+
+          In [3]: time sum(range(n))
+          CPU times: user 1.20 s, sys: 0.05 s, total: 1.25 s
+          Wall time: 1.37
+          Out[3]: 499999500000L
+
+          In [4]: time print 'hello world'
+          hello world
+          CPU times: user 0.00 s, sys: 0.00 s, total: 0.00 s
+          Wall time: 0.00
+
+          Note that the time needed by Python to compile the given expression
+          will be reported if it is more than 0.1s.  In this example, the
+          actual exponentiation is done by Python at compilation time, so while
+          the expression can take a noticeable amount of time to compute, that
+          time is purely due to the compilation:
+
+          In [5]: time 3**9999;
+          CPU times: user 0.00 s, sys: 0.00 s, total: 0.00 s
+          Wall time: 0.00 s
+
+          In [6]: time 3**999999;
+          CPU times: user 0.00 s, sys: 0.00 s, total: 0.00 s
+          Wall time: 0.00 s
+          Compiler : 0.78 s
+
+**%timeit**::
+
+	Time execution of a Python statement or expression
+
+        Usage:\
+          %timeit [-n<N> -r<R> [-t|-c]] statement
+
+        Time execution of a Python statement or expression using the timeit
+        module.
+
+        Options:
+        -n<N>: execute the given statement <N> times in a loop. If this value
+        is not given, a fitting value is chosen. 
+        
+        -r<R>: repeat the loop iteration <R> times and take the best result.
+        Default: 3
+        
+        -t: use time.time to measure the time, which is the default on Unix.
+        This function measures wall time.
+        
+        -c: use time.clock to measure the time, which is the default on
+        Windows and measures wall time. On Unix, resource.getrusage is used
+        instead and returns the CPU user time.
+
+        -p<P>: use a precision of <P> digits to display the timing result.
+        Default: 3
+
+        
+        Examples:\
+          In [1]: %timeit pass
+          10000000 loops, best of 3: 53.3 ns per loop
+
+          In [2]: u = None
+
+          In [3]: %timeit u is None
+          10000000 loops, best of 3: 184 ns per loop
+
+          In [4]: %timeit -r 4 u == None
+          1000000 loops, best of 4: 242 ns per loop
+
+          In [5]: import time
+
+          In [6]: %timeit -n1 time.sleep(2)
+          1 loops, best of 3: 2 s per loop
+          
+
+        The times reported by %timeit will be slightly higher than those
+        reported by the timeit.py script when variables are accessed. This is
+        due to the fact that %timeit executes the statement in the namespace
+        of the shell, compared with timeit.py, which uses a single setup
+        statement to import function or create variables. Generally, the bias
+        does not matter as long as results from timeit.py are not mixed with
+        those from %timeit.
+
+**%unalias**::
+
+	Remove an alias
+
+**%upgrade**::
+
+	 Upgrade your IPython installation
+        
+        This will copy the config files that don't yet exist in your 
+        ipython dir from the system config dir. Use this after upgrading 
+        IPython if you don't wish to delete your .ipython dir.
+
+        Call with -nolegacy to get rid of ipythonrc* files (recommended for
+        new users)
+
+**%which**::
+
+	 %which <cmd> => search PATH for files matching cmd. Also scans aliases.
+
+    Traverses PATH and prints all files (not just executables!) that match the
+    pattern on command line. Probably more useful in finding stuff
+    interactively than 'which', which only prints the first matching item.
+    
+    Also discovers and expands aliases, so you'll see what will be executed
+    when you call an alias.
+    
+    Example:
+    
+    [~]|62> %which d
+    d -> ls -F --color=auto
+      == c:\cygwin\bin\ls.exe
+    c:\cygwin\bin\d.exe
+    
+    [~]|64> %which diff*
+    diff3 -> diff3
+      == c:\cygwin\bin\diff3.exe
+    diff -> diff
+      == c:\cygwin\bin\diff.exe
+    c:\cygwin\bin\diff.exe
+    c:\cygwin\bin\diff3.exe
+
+**%who**::
+
+	Print all interactive variables, with some minimal formatting.
+
+        If any arguments are given, only variables whose type matches one of
+        these are printed.  For example:
+
+          %who function str
+
+        will only list functions and strings, excluding all other types of
+        variables.  To find the proper type names, simply use type(var) at a
+        command line to see how python prints type names.  For example:
+
+          In [1]: type('hello')\
+          Out[1]: <type 'str'>
+
+        indicates that the type name for strings is 'str'.
+
+        %who always excludes executed names loaded through your configuration
+        file and things which are internal to IPython.
+
+        This is deliberate, as typically you may load many modules and the
+        purpose of %who is to show you only what you've manually defined.
+
+**%who_ls**::
+
+	Return a sorted list of all interactive variables.
+
+        If arguments are given, only variables of types matching these
+        arguments are returned.
+
+**%whos**::
+
+	Like %who, but gives some extra information about each variable.
+
+        The same type filtering of %who can be applied here.
+
+        For all variables, the type is printed. Additionally it prints:
+        
+          - For {},[],(): their length.
+
+          - For numpy and Numeric arrays, a summary with shape, number of
+          elements, typecode and size in memory.
+
+          - Everything else: a string representation, snipping their middle if
+          too long.
+
+**%xmode**::
+
+	Switch modes for the exception handlers.
+
+        Valid modes: Plain, Context and Verbose.
+
+        If called without arguments, acts as a toggle.
+
+.. magic_end
+
+Access to the standard Python help
+----------------------------------
+
+As of Python 2.1, a help system is available with access to object
+docstrings and the Python manuals. Simply type 'help' (no quotes) to
+access it. You can also type help(object) to obtain information about a
+given object, and help('keyword') for information on a keyword. As noted
+in sec. `accessing help`_, you need to properly configure
+your environment variable PYTHONDOCS for this feature to work correctly.
+
+
+Dynamic object information
+--------------------------
+
+Typing ?word or word? prints detailed information about an object. If
+certain strings in the object are too long (docstrings, code, etc.) they
+get snipped in the center for brevity. This system gives access variable
+types and values, full source code for any object (if available),
+function prototypes and other useful information.
+
+Typing ??word or word?? gives access to the full information without
+snipping long strings. Long strings are sent to the screen through the
+less pager if longer than the screen and printed otherwise. On systems
+lacking the less command, IPython uses a very basic internal pager.
+
+The following magic functions are particularly useful for gathering
+information about your working environment. You can get more details by
+typing %magic or querying them individually (use %function_name? with or
+without the %), this is just a summary:
+
+    * **%pdoc <object>**: Print (or run through a pager if too long) the
+      docstring for an object. If the given object is a class, it will
+      print both the class and the constructor docstrings.
+    * **%pdef <object>**: Print the definition header for any callable
+      object. If the object is a class, print the constructor information.
+    * **%psource <object>**: Print (or run through a pager if too long)
+      the source code for an object.
+    * **%pfile <object>**: Show the entire source file where an object was
+      defined via a pager, opening it at the line where the object
+      definition begins.
+    * **%who/%whos**: These functions give information about identifiers
+      you have defined interactively (not things you loaded or defined
+      in your configuration files). %who just prints a list of
+      identifiers and %whos prints a table with some basic details about
+      each identifier.
+
+Note that the dynamic object information functions (?/??, %pdoc, %pfile,
+%pdef, %psource) give you access to documentation even on things which
+are not really defined as separate identifiers. Try for example typing
+{}.get? or after doing import os, type os.path.abspath??.
+
+
+.. _Readline:
+
+Readline-based features
+-----------------------
+
+These features require the GNU readline library, so they won't work if
+your Python installation lacks readline support. We will first describe
+the default behavior IPython uses, and then how to change it to suit
+your preferences.
+
+
+Command line completion
++++++++++++++++++++++++
+
+At any time, hitting TAB will complete any available python commands or
+variable names, and show you a list of the possible completions if
+there's no unambiguous one. It will also complete filenames in the
+current directory if no python names match what you've typed so far.
+
+
+Search command history
+++++++++++++++++++++++
+
+IPython provides two ways for searching through previous input and thus
+reduce the need for repetitive typing:
+
+   1. Start typing, and then use Ctrl-p (previous,up) and Ctrl-n
+      (next,down) to search through only the history items that match
+      what you've typed so far. If you use Ctrl-p/Ctrl-n at a blank
+      prompt, they just behave like normal arrow keys.
+   2. Hit Ctrl-r: opens a search prompt. Begin typing and the system
+      searches your history for lines that contain what you've typed so
+      far, completing as much as it can.
+
+
+Persistent command history across sessions
+++++++++++++++++++++++++++++++++++++++++++
+
+IPython will save your input history when it leaves and reload it next
+time you restart it. By default, the history file is named
+$IPYTHONDIR/history, but if you've loaded a named profile,
+'-PROFILE_NAME' is appended to the name. This allows you to keep
+separate histories related to various tasks: commands related to
+numerical work will not be clobbered by a system shell history, for
+example.
+
+
+Autoindent
+++++++++++
+
+IPython can recognize lines ending in ':' and indent the next line,
+while also un-indenting automatically after 'raise' or 'return'.
+
+This feature uses the readline library, so it will honor your ~/.inputrc
+configuration (or whatever file your INPUTRC variable points to). Adding
+the following lines to your .inputrc file can make indenting/unindenting
+more convenient (M-i indents, M-u unindents)::
+
+    $if Python 
+    "\M-i": "    "  
+    "\M-u": "\d\d\d\d"  
+    $endif
+
+Note that there are 4 spaces between the quote marks after "M-i" above.
+
+Warning: this feature is ON by default, but it can cause problems with
+the pasting of multi-line indented code (the pasted code gets
+re-indented on each line). A magic function %autoindent allows you to
+toggle it on/off at runtime. You can also disable it permanently on in
+your ipythonrc file (set autoindent 0).
+
+
+Customizing readline behavior
++++++++++++++++++++++++++++++
+
+All these features are based on the GNU readline library, which has an
+extremely customizable interface. Normally, readline is configured via a
+file which defines the behavior of the library; the details of the
+syntax for this can be found in the readline documentation available
+with your system or on the Internet. IPython doesn't read this file (if
+it exists) directly, but it does support passing to readline valid
+options via a simple interface. In brief, you can customize readline by
+setting the following options in your ipythonrc configuration file (note
+that these options can not be specified at the command line):
+
+    * **readline_parse_and_bind**: this option can appear as many times as
+      you want, each time defining a string to be executed via a
+      readline.parse_and_bind() command. The syntax for valid commands
+      of this kind can be found by reading the documentation for the GNU
+      readline library, as these commands are of the kind which readline
+      accepts in its configuration file.
+    * **readline_remove_delims**: a string of characters to be removed
+      from the default word-delimiters list used by readline, so that
+      completions may be performed on strings which contain them. Do not
+      change the default value unless you know what you're doing.
+    * **readline_omit__names**: when tab-completion is enabled, hitting
+      <tab> after a '.' in a name will complete all attributes of an
+      object, including all the special methods whose names include
+      double underscores (like __getitem__ or __class__). If you'd
+      rather not see these names by default, you can set this option to
+      1. Note that even when this option is set, you can still see those
+      names by explicitly typing a _ after the period and hitting <tab>:
+      'name._<tab>' will always complete attribute names starting with '_'.
+      
+      This option is off by default so that new users see all
+      attributes of any objects they are dealing with.
+
+You will find the default values along with a corresponding detailed
+explanation in your ipythonrc file.
+
+
+Session logging and restoring
+-----------------------------
+
+You can log all input from a session either by starting IPython with
+the command line switches -log or -logfile (see sec. `command line
+options`_) or by activating the logging at any moment with the magic
+function %logstart.
+
+Log files can later be reloaded with the -logplay option and IPython
+will attempt to 'replay' the log by executing all the lines in it, thus
+restoring the state of a previous session. This feature is not quite
+perfect, but can still be useful in many cases.
+
+The log files can also be used as a way to have a permanent record of
+any code you wrote while experimenting. Log files are regular text files
+which you can later open in your favorite text editor to extract code or
+to 'clean them up' before using them to replay a session.
+
+The %logstart function for activating logging in mid-session is used as
+follows:
+
+%logstart [log_name [log_mode]]
+
+If no name is given, it defaults to a file named 'log' in your
+IPYTHONDIR directory, in 'rotate' mode (see below).
+
+'%logstart name' saves to file 'name' in 'backup' mode. It saves your
+history up to that point and then continues logging.
+
+%logstart takes a second optional parameter: logging mode. This can be
+one of (note that the modes are given unquoted):
+
+    * [over:] overwrite existing log_name.
+    * [backup:] rename (if exists) to log_name~ and start log_name.
+    * [append:] well, that says it.
+    * [rotate:] create rotating logs log_name.1~, log_name.2~, etc.
+
+The %logoff and %logon functions allow you to temporarily stop and
+resume logging to a file which had previously been started with
+%logstart. They will fail (with an explanation) if you try to use them
+before logging has been started.
+
+System shell access
+-------------------
+
+Any input line beginning with a ! character is passed verbatim (minus
+the !, of course) to the underlying operating system. For example,
+typing !ls will run 'ls' in the current directory.
+
+Manual capture of command output
+--------------------------------
+
+If the input line begins with two exclamation marks, !!, the command is
+executed but its output is captured and returned as a python list, split
+on newlines. Any output sent by the subprocess to standard error is
+printed separately, so that the resulting list only captures standard
+output. The !! syntax is a shorthand for the %sx magic command.
+
+Finally, the %sc magic (short for 'shell capture') is similar to %sx,
+but allowing more fine-grained control of the capture details, and
+storing the result directly into a named variable. The direct use of 
+%sc is now deprecated, and you should ise the ``var = !cmd`` syntax
+instead.
+
+IPython also allows you to expand the value of python variables when
+making system calls. Any python variable or expression which you prepend
+with $ will get expanded before the system call is made::
+
+    In [1]: pyvar='Hello world' 
+    In [2]: !echo "A python variable: $pyvar"  
+    A python variable: Hello world
+
+If you want the shell to actually see a literal $, you need to type it
+twice::
+
+    In [3]: !echo "A system variable: $$HOME"  
+    A system variable: /home/fperez
+
+You can pass arbitrary expressions, though you'll need to delimit them
+with {} if there is ambiguity as to the extent of the expression::
+
+    In [5]: x=10 
+    In [6]: y=20 
+    In [13]: !echo $x+y  
+    10+y  
+    In [7]: !echo ${x+y}  
+    30
+
+Even object attributes can be expanded::
+
+    In [12]: !echo $sys.argv  
+    [/home/fperez/usr/bin/ipython]
+
+
+System command aliases
+----------------------
+
+The %alias magic function and the alias option in the ipythonrc
+configuration file allow you to define magic functions which are in fact
+system shell commands. These aliases can have parameters.
+
+'%alias alias_name cmd' defines 'alias_name' as an alias for 'cmd'
+
+Then, typing '%alias_name params' will execute the system command 'cmd
+params' (from your underlying operating system).
+
+You can also define aliases with parameters using %s specifiers (one per
+parameter). The following example defines the %parts function as an
+alias to the command 'echo first %s second %s' where each %s will be
+replaced by a positional parameter to the call to %parts::
+
+    In [1]: alias parts echo first %s second %s 
+    In [2]: %parts A B 
+    first A second B  
+    In [3]: %parts A  
+    Incorrect number of arguments: 2 expected.  
+    parts is an alias to: 'echo first %s second %s'
+
+If called with no parameters, %alias prints the table of currently
+defined aliases.
+
+The %rehash/rehashx magics allow you to load your entire $PATH as
+ipython aliases. See their respective docstrings (or sec. 6.2
+<#sec:magic> for further details).
+
+
+.. _dreload:
+
+Recursive reload
+----------------
+
+The dreload function does a recursive reload of a module: changes made
+to the module since you imported will actually be available without
+having to exit.
+
+
+Verbose and colored exception traceback printouts
+-------------------------------------------------
+
+IPython provides the option to see very detailed exception tracebacks,
+which can be especially useful when debugging large programs. You can
+run any Python file with the %run function to benefit from these
+detailed tracebacks. Furthermore, both normal and verbose tracebacks can
+be colored (if your terminal supports it) which makes them much easier
+to parse visually.
+
+See the magic xmode and colors functions for details (just type %magic).
+
+These features are basically a terminal version of Ka-Ping Yee's cgitb
+module, now part of the standard Python library.
+
+
+.. _Input caching:
+
+Input caching system
+--------------------
+
+IPython offers numbered prompts (In/Out) with input and output caching.
+All input is saved and can be retrieved as variables (besides the usual
+arrow key recall).
+
+The following GLOBAL variables always exist (so don't overwrite them!):
+_i: stores previous input. _ii: next previous. _iii: next-next previous.
+_ih : a list of all input _ih[n] is the input from line n and this list
+is aliased to the global variable In. If you overwrite In with a
+variable of your own, you can remake the assignment to the internal list
+with a simple 'In=_ih'.
+
+Additionally, global variables named _i<n> are dynamically created (<n>
+being the prompt counter), such that
+_i<n> == _ih[<n>] == In[<n>].
+
+For example, what you typed at prompt 14 is available as _i14, _ih[14]
+and In[14].
+
+This allows you to easily cut and paste multi line interactive prompts
+by printing them out: they print like a clean string, without prompt
+characters. You can also manipulate them like regular variables (they
+are strings), modify or exec them (typing 'exec _i9' will re-execute the
+contents of input prompt 9, 'exec In[9:14]+In[18]' will re-execute lines
+9 through 13 and line 18).
+
+You can also re-execute multiple lines of input easily by using the
+magic %macro function (which automates the process and allows
+re-execution without having to type 'exec' every time). The macro system
+also allows you to re-execute previous lines which include magic
+function calls (which require special processing). Type %macro? or see
+sec. 6.2 <#sec:magic> for more details on the macro system.
+
+A history function %hist allows you to see any part of your input
+history by printing a range of the _i variables.
+
+.. _Output caching:
+
+Output caching system
+---------------------
+
+For output that is returned from actions, a system similar to the input
+cache exists but using _ instead of _i. Only actions that produce a
+result (NOT assignments, for example) are cached. If you are familiar
+with Mathematica, IPython's _ variables behave exactly like
+Mathematica's % variables.
+
+The following GLOBAL variables always exist (so don't overwrite them!):
+
+    * [_] (a single underscore) : stores previous output, like Python's
+      default interpreter.
+    * [__] (two underscores): next previous.
+    * [___] (three underscores): next-next previous.
+
+Additionally, global variables named _<n> are dynamically created (<n>
+being the prompt counter), such that the result of output <n> is always
+available as _<n> (don't use the angle brackets, just the number, e.g.
+_21).
+
+These global variables are all stored in a global dictionary (not a
+list, since it only has entries for lines which returned a result)
+available under the names _oh and Out (similar to _ih and In). So the
+output from line 12 can be obtained as _12, Out[12] or _oh[12]. If you
+accidentally overwrite the Out variable you can recover it by typing
+'Out=_oh' at the prompt.
+
+This system obviously can potentially put heavy memory demands on your
+system, since it prevents Python's garbage collector from removing any
+previously computed results. You can control how many results are kept
+in memory with the option (at the command line or in your ipythonrc
+file) cache_size. If you set it to 0, the whole system is completely
+disabled and the prompts revert to the classic '>>>' of normal Python.
+
+
+Directory history
+-----------------
+
+Your history of visited directories is kept in the global list _dh, and
+the magic %cd command can be used to go to any entry in that list. The
+%dhist command allows you to view this history. do ``cd -<TAB`` to
+conventiently view the directory history.
+
+
+Automatic parentheses and quotes
+--------------------------------
+
+These features were adapted from Nathan Gray's LazyPython. They are
+meant to allow less typing for common situations.
+
+
+Automatic parentheses
+---------------------
+
+Callable objects (i.e. functions, methods, etc) can be invoked like this
+(notice the commas between the arguments)::
+
+    >>> callable_ob arg1, arg2, arg3
+
+and the input will be translated to this::
+
+    -> callable_ob(arg1, arg2, arg3)
+
+You can force automatic parentheses by using '/' as the first character
+of a line. For example::
+
+    >>> /globals # becomes 'globals()'
+
+Note that the '/' MUST be the first character on the line! This won't work::
+
+    >>> print /globals # syntax error
+
+In most cases the automatic algorithm should work, so you should rarely
+need to explicitly invoke /. One notable exception is if you are trying
+to call a function with a list of tuples as arguments (the parenthesis
+will confuse IPython)::
+
+    In [1]: zip (1,2,3),(4,5,6) # won't work
+
+but this will work::
+
+    In [2]: /zip (1,2,3),(4,5,6) 
+    ---> zip ((1,2,3),(4,5,6))  
+    Out[2]= [(1, 4), (2, 5), (3, 6)]
+
+IPython tells you that it has altered your command line by displaying
+the new command line preceded by ->. e.g.::
+
+    In [18]: callable list 
+    ----> callable (list)
+
+
+Automatic quoting
+-----------------
+
+You can force automatic quoting of a function's arguments by using ','
+or ';' as the first character of a line. For example::
+
+    >>> ,my_function /home/me # becomes my_function("/home/me")
+
+If you use ';' instead, the whole argument is quoted as a single string
+(while ',' splits on whitespace)::
+
+    >>> ,my_function a b c # becomes my_function("a","b","c")
+
+    >>> ;my_function a b c # becomes my_function("a b c")
+
+Note that the ',' or ';' MUST be the first character on the line! This
+won't work::
+
+    >>> x = ,my_function /home/me # syntax error
+
+IPython as your default Python environment
+==========================================
+
+Python honors the environment variable PYTHONSTARTUP and will execute at
+startup the file referenced by this variable. If you put at the end of
+this file the following two lines of code::
+
+    import IPython 
+    IPython.Shell.IPShell().mainloop(sys_exit=1)
+
+then IPython will be your working environment anytime you start Python.
+The sys_exit=1 is needed to have IPython issue a call to sys.exit() when
+it finishes, otherwise you'll be back at the normal Python '>>>'
+prompt.
+
+This is probably useful to developers who manage multiple Python
+versions and don't want to have correspondingly multiple IPython
+versions. Note that in this mode, there is no way to pass IPython any
+command-line options, as those are trapped first by Python itself.
+
+.. _Embedding:
+
+Embedding IPython
+=================
+
+It is possible to start an IPython instance inside your own Python
+programs. This allows you to evaluate dynamically the state of your
+code, operate with your variables, analyze them, etc. Note however that
+any changes you make to values while in the shell do not propagate back
+to the running code, so it is safe to modify your values because you
+won't break your code in bizarre ways by doing so.
+
+This feature allows you to easily have a fully functional python
+environment for doing object introspection anywhere in your code with a
+simple function call. In some cases a simple print statement is enough,
+but if you need to do more detailed analysis of a code fragment this
+feature can be very valuable.
+
+It can also be useful in scientific computing situations where it is
+common to need to do some automatic, computationally intensive part and
+then stop to look at data, plots, etc.
+Opening an IPython instance will give you full access to your data and
+functions, and you can resume program execution once you are done with
+the interactive part (perhaps to stop again later, as many times as
+needed).
+
+The following code snippet is the bare minimum you need to include in
+your Python programs for this to work (detailed examples follow later)::
+
+    from IPython.Shell import IPShellEmbed
+
+    ipshell = IPShellEmbed()
+
+    ipshell() # this call anywhere in your program will start IPython
+
+You can run embedded instances even in code which is itself being run at
+the IPython interactive prompt with '%run <filename>'. Since it's easy
+to get lost as to where you are (in your top-level IPython or in your
+embedded one), it's a good idea in such cases to set the in/out prompts
+to something different for the embedded instances. The code examples
+below illustrate this.
+
+You can also have multiple IPython instances in your program and open
+them separately, for example with different options for data
+presentation. If you close and open the same instance multiple times,
+its prompt counters simply continue from each execution to the next.
+
+Please look at the docstrings in the Shell.py module for more details on
+the use of this system.
+
+The following sample file illustrating how to use the embedding
+functionality is provided in the examples directory as example-embed.py.
+It should be fairly self-explanatory::
+
+
+    #!/usr/bin/env python
+
+    """An example of how to embed an IPython shell into a running program.
+
+    Please see the documentation in the IPython.Shell module for more details.
+
+    The accompanying file example-embed-short.py has quick code fragments for
+    embedding which you can cut and paste in your code once you understand how
+    things work.
+
+    The code in this file is deliberately extra-verbose, meant for learning."""
+
+    # The basics to get you going:
+
+    # IPython sets the __IPYTHON__ variable so you can know if you have nested
+    # copies running.
+
+    # Try running this code both at the command line and from inside IPython (with
+    # %run example-embed.py)
+    try:
+        __IPYTHON__
+    except NameError:
+        nested = 0
+        args = ['']
+    else:
+        print "Running nested copies of IPython."
+        print "The prompts for the nested copy have been modified"
+        nested = 1
+        # what the embedded instance will see as sys.argv:
+        args = ['-pi1','In <\\#>: ','-pi2','   .\\D.: ',
+                '-po','Out<\\#>: ','-nosep']
+
+    # First import the embeddable shell class
+    from IPython.Shell import IPShellEmbed
+
+    # Now create an instance of the embeddable shell. The first argument is a
+    # string with options exactly as you would type them if you were starting
+    # IPython at the system command line. Any parameters you want to define for
+    # configuration can thus be specified here.
+    ipshell = IPShellEmbed(args,
+                           banner = 'Dropping into IPython',
+                           exit_msg = 'Leaving Interpreter, back to program.')
+
+    # Make a second instance, you can have as many as you want.
+    if nested:
+        args[1] = 'In2<\\#>'
+    else:
+        args = ['-pi1','In2<\\#>: ','-pi2','   .\\D.: ',
+                '-po','Out<\\#>: ','-nosep']
+    ipshell2 = IPShellEmbed(args,banner = 'Second IPython instance.')
+
+    print '\nHello. This is printed from the main controller program.\n'
+
+    # You can then call ipshell() anywhere you need it (with an optional
+    # message):
+    ipshell('***Called from top level. '
+            'Hit Ctrl-D to exit interpreter and continue program.\n'
+            'Note that if you use %kill_embedded, you can fully deactivate\n'
+            'This embedded instance so it will never turn on again')
+
+    print '\nBack in caller program, moving along...\n'
+
+    #---------------------------------------------------------------------------
+    # More details:
+
+    # IPShellEmbed instances don't print the standard system banner and
+    # messages. The IPython banner (which actually may contain initialization
+    # messages) is available as <instance>.IP.BANNER in case you want it.
+
+    # IPShellEmbed instances print the following information everytime they
+    # start:
+
+    # - A global startup banner.
+
+    # - A call-specific header string, which you can use to indicate where in the
+    # execution flow the shell is starting.
+
+    # They also print an exit message every time they exit.
+
+    # Both the startup banner and the exit message default to None, and can be set
+    # either at the instance constructor or at any other time with the
+    # set_banner() and set_exit_msg() methods.
+
+    # The shell instance can be also put in 'dummy' mode globally or on a per-call
+    # basis. This gives you fine control for debugging without having to change
+    # code all over the place.
+
+    # The code below illustrates all this.
+
+
+    # This is how the global banner and exit_msg can be reset at any point
+    ipshell.set_banner('Entering interpreter - New Banner')
+    ipshell.set_exit_msg('Leaving interpreter - New exit_msg')
+
+    def foo(m):
+        s = 'spam'
+        ipshell('***In foo(). Try @whos, or print s or m:')
+        print 'foo says m = ',m
+
+    def bar(n):
+        s = 'eggs'
+        ipshell('***In bar(). Try @whos, or print s or n:')
+        print 'bar says n = ',n
+
+    # Some calls to the above functions which will trigger IPython:
+    print 'Main program calling foo("eggs")\n'
+    foo('eggs')
+
+    # The shell can be put in 'dummy' mode where calls to it silently return. This
+    # allows you, for example, to globally turn off debugging for a program with a
+    # single call.
+    ipshell.set_dummy_mode(1)
+    print '\nTrying to call IPython which is now "dummy":'
+    ipshell()
+    print 'Nothing happened...'
+    # The global 'dummy' mode can still be overridden for a single call
+    print '\nOverriding dummy mode manually:'
+    ipshell(dummy=0)
+
+    # Reactivate the IPython shell
+    ipshell.set_dummy_mode(0)
+
+    print 'You can even have multiple embedded instances:'
+    ipshell2()
+
+    print '\nMain program calling bar("spam")\n'
+    bar('spam')
+
+    print 'Main program finished. Bye!'
+
+    #********************** End of file <example-embed.py> ***********************
+
+Once you understand how the system functions, you can use the following
+code fragments in your programs which are ready for cut and paste::
+
+
+    """Quick code snippets for embedding IPython into other programs.
+
+    See example-embed.py for full details, this file has the bare minimum code for
+    cut and paste use once you understand how to use the system."""
+
+    #---------------------------------------------------------------------------
+    # This code loads IPython but modifies a few things if it detects it's running
+    # embedded in another IPython session (helps avoid confusion)
+
+    try:
+        __IPYTHON__
+    except NameError:
+        argv = ['']
+        banner = exit_msg = ''
+    else:
+        # Command-line options for IPython (a list like sys.argv)
+        argv = ['-pi1','In <\\#>:','-pi2','   .\\D.:','-po','Out<\\#>:']
+        banner = '*** Nested interpreter ***'
+        exit_msg = '*** Back in main IPython ***'
+
+    # First import the embeddable shell class
+    from IPython.Shell import IPShellEmbed
+    # Now create the IPython shell instance. Put ipshell() anywhere in your code
+    # where you want it to open.
+    ipshell = IPShellEmbed(argv,banner=banner,exit_msg=exit_msg)
+
+    #---------------------------------------------------------------------------
+    # This code will load an embeddable IPython shell always with no changes for
+    # nested embededings.
+
+    from IPython.Shell import IPShellEmbed
+    ipshell = IPShellEmbed()
+    # Now ipshell() will open IPython anywhere in the code.
+
+    #---------------------------------------------------------------------------
+    # This code loads an embeddable shell only if NOT running inside
+    # IPython. Inside IPython, the embeddable shell variable ipshell is just a
+    # dummy function.
+
+    try:
+        __IPYTHON__
+    except NameError:
+        from IPython.Shell import IPShellEmbed
+        ipshell = IPShellEmbed()
+        # Now ipshell() will open IPython anywhere in the code
+    else:
+        # Define a dummy ipshell() so the same code doesn't crash inside an
+        # interactive IPython
+        def ipshell(): pass
+
+    #******************* End of file <example-embed-short.py> ********************
+
+Using the Python debugger (pdb)
+===============================
+
+Running entire programs via pdb
+-------------------------------
+
+pdb, the Python debugger, is a powerful interactive debugger which
+allows you to step through code, set breakpoints, watch variables,
+etc.  IPython makes it very easy to start any script under the control
+of pdb, regardless of whether you have wrapped it into a 'main()'
+function or not. For this, simply type '%run -d myscript' at an
+IPython prompt. See the %run command's documentation (via '%run?' or
+in Sec. magic_ for more details, including how to control where pdb
+will stop execution first.
+
+For more information on the use of the pdb debugger, read the included
+pdb.doc file (part of the standard Python distribution). On a stock
+Linux system it is located at /usr/lib/python2.3/pdb.doc, but the
+easiest way to read it is by using the help() function of the pdb module
+as follows (in an IPython prompt):
+
+In [1]: import pdb 
+In [2]: pdb.help()
+
+This will load the pdb.doc document in a file viewer for you automatically.
+
+
+Automatic invocation of pdb on exceptions
+-----------------------------------------
+
+IPython, if started with the -pdb option (or if the option is set in
+your rc file) can call the Python pdb debugger every time your code
+triggers an uncaught exception. This feature
+can also be toggled at any time with the %pdb magic command. This can be
+extremely useful in order to find the origin of subtle bugs, because pdb
+opens up at the point in your code which triggered the exception, and
+while your program is at this point 'dead', all the data is still
+available and you can walk up and down the stack frame and understand
+the origin of the problem.
+
+Furthermore, you can use these debugging facilities both with the
+embedded IPython mode and without IPython at all. For an embedded shell
+(see sec. Embedding_), simply call the constructor with
+'-pdb' in the argument string and automatically pdb will be called if an
+uncaught exception is triggered by your code.
+
+For stand-alone use of the feature in your programs which do not use
+IPython at all, put the following lines toward the top of your 'main'
+routine::
+
+    import sys,IPython.ultraTB  
+    sys.excepthook = IPython.ultraTB.FormattedTB(mode='Verbose',
+    color_scheme='Linux', call_pdb=1)
+
+The mode keyword can be either 'Verbose' or 'Plain', giving either very
+detailed or normal tracebacks respectively. The color_scheme keyword can
+be one of 'NoColor', 'Linux' (default) or 'LightBG'. These are the same
+options which can be set in IPython with -colors and -xmode.
+
+This will give any of your programs detailed, colored tracebacks with
+automatic invocation of pdb.
+
+
+Extensions for syntax processing
+================================
+
+This isn't for the faint of heart, because the potential for breaking
+things is quite high. But it can be a very powerful and useful feature.
+In a nutshell, you can redefine the way IPython processes the user input
+line to accept new, special extensions to the syntax without needing to
+change any of IPython's own code.
+
+In the IPython/Extensions directory you will find some examples
+supplied, which we will briefly describe now. These can be used 'as is'
+(and both provide very useful functionality), or you can use them as a
+starting point for writing your own extensions.
+
+
+Pasting of code starting with '>>> ' or '... '
+----------------------------------------------
+
+In the python tutorial it is common to find code examples which have
+been taken from real python sessions. The problem with those is that all
+the lines begin with either '>>> ' or '... ', which makes it impossible
+to paste them all at once. One must instead do a line by line manual
+copying, carefully removing the leading extraneous characters.
+
+This extension identifies those starting characters and removes them
+from the input automatically, so that one can paste multi-line examples
+directly into IPython, saving a lot of time. Please look at the file
+InterpreterPasteInput.py in the IPython/Extensions directory for details
+on how this is done.
+
+IPython comes with a special profile enabling this feature, called
+tutorial. Simply start IPython via 'ipython -p tutorial' and the feature
+will be available. In a normal IPython session you can activate the
+feature by importing the corresponding module with:
+In [1]: import IPython.Extensions.InterpreterPasteInput
+
+The following is a 'screenshot' of how things work when this extension
+is on, copying an example from the standard tutorial::
+
+    IPython profile: tutorial 
+
+    *** Pasting of code with ">>>" or "..." has been enabled. 
+
+    In [1]: >>> def fib2(n): # return Fibonacci series up to n 
+       ...: ...     """Return a list containing the Fibonacci series up to
+    n.""" 
+       ...: ...     result = [] 
+       ...: ...     a, b = 0, 1 
+       ...: ...     while b < n: 
+       ...: ...         result.append(b)    # see below 
+       ...: ...         a, b = b, a+b 
+       ...: ...     return result 
+       ...: 
+
+    In [2]: fib2(10) 
+    Out[2]: [1, 1, 2, 3, 5, 8]
+
+Note that as currently written, this extension does not recognize
+IPython's prompts for pasting. Those are more complicated, since the
+user can change them very easily, they involve numbers and can vary in
+length. One could however extract all the relevant information from the
+IPython instance and build an appropriate regular expression. This is
+left as an exercise for the reader.
+
+
+Input of physical quantities with units
+---------------------------------------
+
+The module PhysicalQInput allows a simplified form of input for physical
+quantities with units. This file is meant to be used in conjunction with
+the PhysicalQInteractive module (in the same directory) and
+Physics.PhysicalQuantities from Konrad Hinsen's ScientificPython
+(http://dirac.cnrs-orleans.fr/ScientificPython/).
+
+The Physics.PhysicalQuantities module defines PhysicalQuantity objects,
+but these must be declared as instances of a class. For example, to
+define v as a velocity of 3 m/s, normally you would write::
+
+    In [1]: v = PhysicalQuantity(3,'m/s')
+
+Using the PhysicalQ_Input extension this can be input instead as: 
+In [1]: v = 3 m/s
+which is much more convenient for interactive use (even though it is
+blatantly invalid Python syntax).
+
+The physics profile supplied with IPython (enabled via 'ipython -p
+physics') uses these extensions, which you can also activate with:
+
+from math import * # math MUST be imported BEFORE PhysicalQInteractive 
+from IPython.Extensions.PhysicalQInteractive import * 
+import IPython.Extensions.PhysicalQInput
+
+
+Threading support
+=================
+
+WARNING: The threading support is still somewhat experimental, and it
+has only seen reasonable testing under Linux. Threaded code is
+particularly tricky to debug, and it tends to show extremely
+platform-dependent behavior. Since I only have access to Linux machines,
+I will have to rely on user's experiences and assistance for this area
+of IPython to improve under other platforms.
+
+IPython, via the -gthread , -qthread, -q4thread and -wthread options
+(described in Sec. `Threading options`_), can run in
+multithreaded mode to support pyGTK, Qt3, Qt4 and WXPython applications
+respectively. These GUI toolkits need to control the python main loop of
+execution, so under a normal Python interpreter, starting a pyGTK, Qt3,
+Qt4 or WXPython application will immediately freeze the shell.
+
+IPython, with one of these options (you can only use one at a time),
+separates the graphical loop and IPython's code execution run into
+different threads. This allows you to test interactively (with %run, for
+example) your GUI code without blocking.
+
+A nice mini-tutorial on using IPython along with the Qt Designer
+application is available at the SciPy wiki:
+http://www.scipy.org/Cookbook/Matplotlib/Qt_with_IPython_and_Designer.
+
+
+Tk issues
+---------
+
+As indicated in Sec. `Threading options`_, a special -tk option is
+provided to try and allow Tk graphical applications to coexist
+interactively with WX, Qt or GTK ones. Whether this works at all,
+however, is very platform and configuration dependent. Please
+experiment with simple test cases before committing to using this
+combination of Tk and GTK/Qt/WX threading in a production environment.
+
+
+I/O pitfalls
+------------
+
+Be mindful that the Python interpreter switches between threads every
+$N$ bytecodes, where the default value as of Python 2.3 is $N=100.$ This
+value can be read by using the sys.getcheckinterval() function, and it
+can be reset via sys.setcheckinterval(N). This switching of threads can
+cause subtly confusing effects if one of your threads is doing file I/O.
+In text mode, most systems only flush file buffers when they encounter a
+'\n'. An instruction as simple as:: 
+
+  print >> filehandle, ''hello world''
+
+actually consists of several bytecodes, so it is possible that the
+newline does not reach your file before the next thread switch.
+Similarly, if you are writing to a file in binary mode, the file won't
+be flushed until the buffer fills, and your other thread may see
+apparently truncated files.
+
+For this reason, if you are using IPython's thread support and have (for
+example) a GUI application which will read data generated by files
+written to from the IPython thread, the safest approach is to open all
+of your files in unbuffered mode (the third argument to the file/open
+function is the buffering value)::
+
+  filehandle = open(filename,mode,0)
+
+This is obviously a brute force way of avoiding race conditions with the
+file buffering. If you want to do it cleanly, and you have a resource
+which is being shared by the interactive IPython loop and your GUI
+thread, you should really handle it with thread locking and
+syncrhonization properties. The Python documentation discusses these.
+
+.. _Interactive demos:
+
+Interactive demos with IPython
+==============================
+
+IPython ships with a basic system for running scripts interactively in
+sections, useful when presenting code to audiences. A few tags embedded
+in comments (so that the script remains valid Python code) divide a file
+into separate blocks, and the demo can be run one block at a time, with
+IPython printing (with syntax highlighting) the block before executing
+it, and returning to the interactive prompt after each block. The
+interactive namespace is updated after each block is run with the
+contents of the demo's namespace.
+
+This allows you to show a piece of code, run it and then execute
+interactively commands based on the variables just created. Once you
+want to continue, you simply execute the next block of the demo. The
+following listing shows the markup necessary for dividing a script into
+sections for execution as a demo::
+
+
+    """A simple interactive demo to illustrate the use of IPython's Demo class.
+
+    Any python script can be run as a demo, but that does little more than showing
+    it on-screen, syntax-highlighted in one shot.  If you add a little simple
+    markup, you can stop at specified intervals and return to the ipython prompt,
+    resuming execution later.
+    """
+
+    print 'Hello, welcome to an interactive IPython demo.'
+    print 'Executing this block should require confirmation before proceeding,'
+    print 'unless auto_all has been set to true in the demo object'
+
+    # The mark below defines a block boundary, which is a point where IPython will
+    # stop execution and return to the interactive prompt.
+    # Note that in actual interactive execution, 
+    # <demo> --- stop ---
+
+    x = 1
+    y = 2
+
+    # <demo> --- stop ---
+
+    # the mark below makes this block as silent
+    # <demo> silent
+
+    print 'This is a silent block, which gets executed but not printed.'
+
+    # <demo> --- stop ---
+    # <demo> auto
+    print 'This is an automatic block.'
+    print 'It is executed without asking for confirmation, but printed.'
+    z = x+y
+
+    print 'z=',x
+
+    # <demo> --- stop ---
+    # This is just another normal block.
+    print 'z is now:', z
+
+    print 'bye!'
+
+In order to run a file as a demo, you must first make a Demo object out
+of it. If the file is named myscript.py, the following code will make a
+demo::
+
+    from IPython.demo import Demo
+
+    mydemo = Demo('myscript.py')
+
+This creates the mydemo object, whose blocks you run one at a time by
+simply calling the object with no arguments. If you have autocall active
+in IPython (the default), all you need to do is type::
+
+    mydemo 
+
+and IPython will call it, executing each block. Demo objects can be
+restarted, you can move forward or back skipping blocks, re-execute the
+last block, etc. Simply use the Tab key on a demo object to see its
+methods, and call '?' on them to see their docstrings for more usage
+details. In addition, the demo module itself contains a comprehensive
+docstring, which you can access via::
+
+    from IPython import demo
+
+    demo?
+
+Limitations: It is important to note that these demos are limited to
+fairly simple uses. In particular, you can not put division marks in
+indented code (loops, if statements, function definitions, etc.)
+Supporting something like this would basically require tracking the
+internal execution state of the Python interpreter, so only top-level
+divisions are allowed. If you want to be able to open an IPython
+instance at an arbitrary point in a program, you can use IPython's
+embedding facilities, described in detail in Sec. 9
+
+
+.. _Matplotlib support:
+
+Plotting with matplotlib
+========================
+
+The matplotlib library (http://matplotlib.sourceforge.net
+http://matplotlib.sourceforge.net) provides high quality 2D plotting for
+Python. Matplotlib can produce plots on screen using a variety of GUI
+toolkits, including Tk, GTK and WXPython. It also provides a number of
+commands useful for scientific computing, all with a syntax compatible
+with that of the popular Matlab program.
+
+IPython accepts the special option -pylab (Sec. `Command line
+options`_). This configures it to support matplotlib, honoring the
+settings in the .matplotlibrc file. IPython will detect the user's
+choice of matplotlib GUI backend, and automatically select the proper
+threading model to prevent blocking. It also sets matplotlib in
+interactive mode and modifies %run slightly, so that any
+matplotlib-based script can be executed using %run and the final
+show() command does not block the interactive shell.
+
+The -pylab option must be given first in order for IPython to
+configure its threading mode. However, you can still issue other
+options afterwards. This allows you to have a matplotlib-based
+environment customized with additional modules using the standard
+IPython profile mechanism (Sec. Profiles_): ''ipython -pylab -p
+myprofile'' will load the profile defined in ipythonrc-myprofile after
+configuring matplotlib.
+
+

docs/source/interactive/shell.txt

@@ -0,0 +1,284 b''
+.. _ipython_as_shell:
+
+=========================
+IPython as a system shell
+=========================
+
+Overview
+========
+
+The 'sh' profile optimizes IPython for system shell usage. Apart from
+certain job control functionality that is present in unix (ctrl+z does
+"suspend"), the sh profile should provide you with most of the
+functionality you use daily in system shell, and more. Invoke IPython
+in 'sh' profile by doing 'ipython -p sh', or (in win32) by launching
+the "pysh" shortcut in start menu.
+
+If you want to use the features of sh profile as your defaults (which
+might be a good idea if you use other profiles a lot of the time but
+still want the convenience of sh profile), add ``import ipy_profile_sh``
+to your ~/.ipython/ipy_user_conf.py.
+
+The 'sh' profile is different from the default profile in that:
+
+ * Prompt shows the current directory
+ * Spacing between prompts and input is more compact (no padding with
+   empty lines). The startup banner is more compact as well.
+ * System commands are directly available (in alias table) without
+   requesting %rehashx - however, if you install new programs along
+   your PATH, you might want to run %rehashx to update the persistent
+   alias table
+ * Macros are stored in raw format by default. That is, instead of
+   '_ip.system("cat foo"), the macro will contain text 'cat foo')
+ * Autocall is in full mode
+ * Calling "up" does "cd .."
+
+The 'sh' profile is different from the now-obsolete (and unavailable)
+'pysh' profile in that:
+
+ * '$$var = command' and '$var = command' syntax is not supported
+ * anymore. Use 'var = !command' instead (incidentally, this is
+ * available in all IPython profiles). Note that !!command *will*
+ * work.
+
+Aliases
+=======
+
+All of your $PATH has been loaded as IPython aliases, so you should be
+able to type any normal system command and have it executed. See
+%alias?  and %unalias? for details on the alias facilities. See also
+%rehashx? for details on the mechanism used to load $PATH.
+
+
+Directory management
+====================
+
+Since each command passed by ipython to the underlying system is executed
+in a subshell which exits immediately, you can NOT use !cd to navigate
+the filesystem.
+
+IPython provides its own builtin '%cd' magic command to move in the
+filesystem (the % is not required with automagic on). It also maintains
+a list of visited directories (use %dhist to see it) and allows direct
+switching to any of them. Type 'cd?' for more details.
+
+%pushd, %popd and %dirs are provided for directory stack handling.
+
+
+Enabled extensions
+==================
+
+Some extensions, listed below, are enabled as default in this profile.
+
+envpersist
+----------
+
+%env can be used to "remember" environment variable manipulations. Examples::
+
+	%env - Show all environment variables
+	%env VISUAL=jed  - set VISUAL to jed
+	%env PATH+=;/foo - append ;foo to PATH
+	%env PATH+=;/bar - also append ;bar to PATH
+	%env PATH-=/wbin; - prepend /wbin; to PATH
+	%env -d VISUAL   - forget VISUAL persistent val
+	%env -p          - print all persistent env modifications
+
+ipy_which
+---------
+
+%which magic command. Like 'which' in unix, but knows about ipython aliases.
+
+Example::
+
+ [C:/ipython]|14> %which st
+ st -> start .
+ [C:/ipython]|15> %which d
+ d -> dir /w /og /on
+ [C:/ipython]|16> %which cp
+ cp -> cp
+   == c:\bin\cp.exe
+ c:\bin\cp.exe
+
+ipy_app_completers
+------------------
+
+Custom tab completers for some apps like svn, hg, bzr, apt-get. Try 'apt-get install <TAB>' in debian/ubuntu.
+
+ipy_rehashdir
+-------------
+
+Allows you to add system command aliases for commands that are not along your path. Let's say that you just installed Putty and want to be able to invoke it without adding it to path, you can create the alias for it with rehashdir::
+
+ [~]|22> cd c:/opt/PuTTY/
+ [c:opt/PuTTY]|23> rehashdir .
+              <23> ['pageant', 'plink', 'pscp', 'psftp', 'putty', 'puttygen', 'unins000']
+
+Now, you can execute any of those commams directly::
+
+ [c:opt/PuTTY]|24> cd
+ [~]|25> putty
+
+(the putty window opens).
+
+If you want to store the alias so that it will always be available, do '%store putty'. If you want to %store all these aliases persistently, just do it in a for loop::
+
+ [~]|27> for a in _23:
+    |..>     %store $a
+    |..>
+    |..>
+ Alias stored: pageant (0, 'c:\\opt\\PuTTY\\pageant.exe')
+ Alias stored: plink (0, 'c:\\opt\\PuTTY\\plink.exe')
+ Alias stored: pscp (0, 'c:\\opt\\PuTTY\\pscp.exe')
+ Alias stored: psftp (0, 'c:\\opt\\PuTTY\\psftp.exe')
+ ...
+
+mglob
+-----
+
+Provide the magic function %mglob, which makes it easier (than the 'find' command) to collect (possibly recursive) file lists. Examples::
+
+ [c:/ipython]|9> mglob *.py
+ [c:/ipython]|10> mglob *.py rec:*.txt
+ [c:/ipython]|19> workfiles = %mglob !.svn/ !.hg/ !*_Data/ !*.bak rec:.
+
+Note that the first 2 calls will put the file list in result history (_, _9, _10), and the last one will assign it to 'workfiles'.
+
+
+Prompt customization
+====================
+
+The sh profile uses the following prompt configurations::
+
+    o.prompt_in1= r'\C_LightBlue[\C_LightCyan\Y2\C_LightBlue]\C_Green|\#>'
+    o.prompt_in2= r'\C_Green|\C_LightGreen\D\C_Green>'
+
+You can change the prompt configuration to your liking by editing
+ipy_user_conf.py.  
+
+String lists
+============
+
+String lists (IPython.genutils.SList) are handy way to process output
+from system commands. They are produced by ``var = !cmd`` syntax.
+
+First, we acquire the output of 'ls -l'::
+
+    [Q:doc/examples]|2> lines = !ls -l
+     ==
+    ['total 23',
+     '-rw-rw-rw- 1 ville None 1163 Sep 30  2006 example-demo.py',
+     '-rw-rw-rw- 1 ville None 1927 Sep 30  2006 example-embed-short.py',
+     '-rwxrwxrwx 1 ville None 4606 Sep  1 17:15 example-embed.py',
+     '-rwxrwxrwx 1 ville None 1017 Sep 30  2006 example-gnuplot.py',
+     '-rwxrwxrwx 1 ville None  339 Jun 11 18:01 extension.py',
+     '-rwxrwxrwx 1 ville None  113 Dec 20  2006 seteditor.py',
+     '-rwxrwxrwx 1 ville None  245 Dec 12  2006 seteditor.pyc']
+
+Now, let's take a look at the contents of 'lines' (the first number is
+the list element number)::
+
+    [Q:doc/examples]|3> lines
+                    <3> SList (.p, .n, .l, .s, .grep(), .fields() available). Value:
+
+    0: total 23
+    1: -rw-rw-rw- 1 ville None 1163 Sep 30  2006 example-demo.py
+    2: -rw-rw-rw- 1 ville None 1927 Sep 30  2006 example-embed-short.py
+    3: -rwxrwxrwx 1 ville None 4606 Sep  1 17:15 example-embed.py
+    4: -rwxrwxrwx 1 ville None 1017 Sep 30  2006 example-gnuplot.py
+    5: -rwxrwxrwx 1 ville None  339 Jun 11 18:01 extension.py
+    6: -rwxrwxrwx 1 ville None  113 Dec 20  2006 seteditor.py
+    7: -rwxrwxrwx 1 ville None  245 Dec 12  2006 seteditor.pyc
+
+Now, let's filter out the 'embed' lines::
+
+    [Q:doc/examples]|4> l2 = lines.grep('embed',prune=1)
+    [Q:doc/examples]|5> l2
+                    <5> SList (.p, .n, .l, .s, .grep(), .fields() available). Value:
+
+    0: total 23
+    1: -rw-rw-rw- 1 ville None 1163 Sep 30  2006 example-demo.py
+    2: -rwxrwxrwx 1 ville None 1017 Sep 30  2006 example-gnuplot.py
+    3: -rwxrwxrwx 1 ville None  339 Jun 11 18:01 extension.py
+    4: -rwxrwxrwx 1 ville None  113 Dec 20  2006 seteditor.py
+    5: -rwxrwxrwx 1 ville None  245 Dec 12  2006 seteditor.pyc
+
+Now, we want strings having just file names and permissions::
+
+    [Q:doc/examples]|6> l2.fields(8,0)
+                    <6> SList (.p, .n, .l, .s, .grep(), .fields() available). Value:
+
+    0: total
+    1: example-demo.py -rw-rw-rw-
+    2: example-gnuplot.py -rwxrwxrwx
+    3: extension.py -rwxrwxrwx
+    4: seteditor.py -rwxrwxrwx
+    5: seteditor.pyc -rwxrwxrwx
+
+Note how the line with 'total' does not raise IndexError.
+
+If you want to split these (yielding lists), call fields() without
+arguments::
+
+    [Q:doc/examples]|7> _.fields()
+                    <7>
+    [['total'],
+     ['example-demo.py', '-rw-rw-rw-'],
+     ['example-gnuplot.py', '-rwxrwxrwx'],
+     ['extension.py', '-rwxrwxrwx'],
+     ['seteditor.py', '-rwxrwxrwx'],
+     ['seteditor.pyc', '-rwxrwxrwx']]
+
+If you want to pass these separated with spaces to a command (typical
+for lists if files), use the .s property::
+
+
+    [Q:doc/examples]|13> files = l2.fields(8).s
+    [Q:doc/examples]|14> files
+                    <14> 'example-demo.py example-gnuplot.py extension.py seteditor.py seteditor.pyc'
+    [Q:doc/examples]|15> ls $files
+    example-demo.py  example-gnuplot.py  extension.py  seteditor.py  seteditor.pyc
+
+SLists are inherited from normal python lists, so every list method is
+available::
+
+    [Q:doc/examples]|21> lines.append('hey')
+
+
+Real world example: remove all files outside version control
+============================================================
+
+First, capture output of "hg status"::
+
+    [Q:/ipython]|28> out = !hg status
+     ==
+    ['M IPython\\Extensions\\ipy_kitcfg.py',
+     'M IPython\\Extensions\\ipy_rehashdir.py',
+    ...
+     '? build\\lib\\IPython\\Debugger.py',
+     '? build\\lib\\IPython\\Extensions\\InterpreterExec.py',
+     '? build\\lib\\IPython\\Extensions\\InterpreterPasteInput.py',
+    ...
+
+(lines starting with ? are not under version control).
+
+::
+
+    [Q:/ipython]|35> junk = out.grep(r'^\?').fields(1)
+    [Q:/ipython]|36> junk
+                <36> SList (.p, .n, .l, .s, .grep(), .fields() availab
+    ...
+    10: build\bdist.win32\winexe\temp\_ctypes.py
+    11: build\bdist.win32\winexe\temp\_hashlib.py
+    12: build\bdist.win32\winexe\temp\_socket.py
+
+Now we can just remove these files by doing 'rm $junk.s'. 
+
+The .s, .n, .p properties
+=========================
+
+The '.s' property returns one string where lines are separated by
+single space (for convenient passing to system commands). The '.n'
+property return one string where the lines are separated by '\n'
+(i.e. the original output of the function). If the items in string
+list are file names, '.p' can be used to get a list of "path" objects
+for convenient file manipulation.
  No newline at end of file

docs/source/interactive/tutorial.txt

@@ -0,0 +1,315 b''
+.. _tutorial:
+
+======================
+Quick IPython tutorial
+======================
+
+.. contents::
+
+IPython can be used as an improved replacement for the Python prompt,
+and for that you don't really need to read any more of this manual. But
+in this section we'll try to summarize a few tips on how to make the
+most effective use of it for everyday Python development, highlighting
+things you might miss in the rest of the manual (which is getting long).
+We'll give references to parts in the manual which provide more detail
+when appropriate.
+
+The following article by Jeremy Jones provides an introductory tutorial
+about IPython: http://www.onlamp.com/pub/a/python/2005/01/27/ipython.html
+
+Highlights
+==========
+
+Tab completion
+--------------
+
+TAB-completion, especially for attributes, is a convenient way to explore the
+structure of any object you're dealing with. Simply type object_name.<TAB>
+and a list of the object's attributes will be printed (see readline_ for
+more). Tab completion also works on file and directory names, which combined
+with IPython's alias system allows you to do from within IPython many of the
+things you normally would need the system shell for.
+
+Explore your objects
+--------------------
+
+Typing object_name? will print all sorts of details about any object,
+including docstrings, function definition lines (for call arguments) and
+constructor details for classes. The magic commands %pdoc, %pdef, %psource
+and %pfile will respectively print the docstring, function definition line,
+full source code and the complete file for any object (when they can be
+found). If automagic is on (it is by default), you don't need to type the '%'
+explicitly. See sec. `dynamic object information`_ for more.
+
+The `%run` magic command
+------------------------
+
+The %run magic command allows you to run any python script and load all of
+its data directly into the interactive namespace. Since the file is re-read
+from disk each time, changes you make to it are reflected immediately (in
+contrast to the behavior of import). I rarely use import for code I am
+testing, relying on %run instead. See magic_ section for more on this and
+other magic commands, or type the name of any magic command and ? to get
+details on it. See also sec. dreload_ for a recursive reload command. %run
+also has special flags for timing the execution of your scripts (-t) and for
+executing them under the control of either Python's pdb debugger (-d) or
+profiler (-p). With all of these, %run can be used as the main tool for
+efficient interactive development of code which you write in your editor of
+choice.
+
+Debug a Python script
+---------------------
+
+Use the Python debugger, pdb. The %pdb command allows you to toggle on and
+off the automatic invocation of an IPython-enhanced pdb debugger (with
+coloring, tab completion and more) at any uncaught exception. The advantage
+of this is that pdb starts inside the function where the exception occurred,
+with all data still available. You can print variables, see code, execute
+statements and even walk up and down the call stack to track down the true
+source of the problem (which often is many layers in the stack above where
+the exception gets triggered). Running programs with %run and pdb active can
+be an efficient to develop and debug code, in many cases eliminating the need
+for print statements or external debugging tools. I often simply put a 1/0 in
+a place where I want to take a look so that pdb gets called, quickly view
+whatever variables I need to or test various pieces of code and then remove
+the 1/0. Note also that '%run -d' activates pdb and automatically sets
+initial breakpoints for you to step through your code, watch variables, etc.
+See Sec. `Output caching`_ for details.
+
+Use the output cache
+--------------------
+
+All output results are automatically stored in a global dictionary named Out
+and variables named _1, _2, etc. alias them. For example, the result of input
+line 4 is available either as Out[4] or as _4. Additionally, three variables
+named _, __ and ___ are always kept updated with the for the last three
+results. This allows you to recall any previous result and further use it for
+new calculations. See Sec. `Output caching`_ for more.
+
+Suppress output
+---------------
+
+Put a ';' at the end of a line to suppress the printing of output. This is
+useful when doing calculations which generate long output you are not
+interested in seeing. The _* variables and the Out[] list do get updated with
+the contents of the output, even if it is not printed. You can thus still
+access the generated results this way for further processing.
+
+Input cache
+-----------
+
+A similar system exists for caching input. All input is stored in a global
+list called In , so you can re-execute lines 22 through 28 plus line 34 by
+typing 'exec In[22:29]+In[34]' (using Python slicing notation). If you need
+to execute the same set of lines often, you can assign them to a macro with
+the %macro function. See sec. `Input caching`_ for more.
+
+Use your input history
+----------------------
+
+The %hist command can show you all previous input, without line numbers if
+desired (option -n) so you can directly copy and paste code either back in
+IPython or in a text editor. You can also save all your history by turning on
+logging via %logstart; these logs can later be either reloaded as IPython
+sessions or used as code for your programs.
+
+Define your own system aliases
+------------------------------
+
+Even though IPython gives you access to your system shell via the ! prefix,
+it is convenient to have aliases to the system commands you use most often.
+This allows you to work seamlessly from inside IPython with the same commands
+you are used to in your system shell. IPython comes with some pre-defined
+aliases and a complete system for changing directories, both via a stack (see
+%pushd, %popd and %dhist) and via direct %cd. The latter keeps a history of
+visited directories and allows you to go to any previously visited one.
+
+Call system shell commands
+--------------------------
+
+Use Python to manipulate the results of system commands. The '!!' special
+syntax, and the %sc and %sx magic commands allow you to capture system output
+into Python variables.
+
+Use Python variables when calling the shell
+-------------------------------------------
+
+Expand python variables when calling the shell (either via '!' and '!!' or
+via aliases) by prepending a $ in front of them. You can also expand complete
+python expressions. See `System shell access`_ for more.
+
+Use profiles
+------------
+
+Use profiles to maintain different configurations (modules to load, function
+definitions, option settings) for particular tasks. You can then have
+customized versions of IPython for specific purposes. See sec. profiles_ for
+more.
+
+
+Embed IPython in your programs
+------------------------------
+
+A few lines of code are enough to load a complete IPython inside your own
+programs, giving you the ability to work with your data interactively after
+automatic processing has been completed. See sec. embedding_ for more.
+
+Use the Python profiler
+-----------------------
+
+When dealing with performance issues, the %run command with a -p option
+allows you to run complete programs under the control of the Python profiler.
+The %prun command does a similar job for single Python expressions (like
+function calls).
+
+Use IPython to present interactive demos
+----------------------------------------
+
+Use the IPython.demo.Demo class to load any Python script as an interactive
+demo. With a minimal amount of simple markup, you can control the execution
+of the script, stopping as needed. See sec. `interactive demos`_ for more.
+
+Run doctests
+------------
+
+Run your doctests from within IPython for development and debugging. The
+special %doctest_mode command toggles a mode where the prompt, output and
+exceptions display matches as closely as possible that of the default Python
+interpreter. In addition, this mode allows you to directly paste in code that
+contains leading '>>>' prompts, even if they have extra leading whitespace
+(as is common in doctest files). This combined with the '%history -tn' call
+to see your translated history (with these extra prompts removed and no line
+numbers) allows for an easy doctest workflow, where you can go from doctest
+to interactive execution to pasting into valid Python code as needed.
+
+Source code handling tips
+=========================
+
+IPython is a line-oriented program, without full control of the
+terminal. Therefore, it doesn't support true multiline editing. However,
+it has a number of useful tools to help you in dealing effectively with
+more complex editing.
+
+The %edit command gives a reasonable approximation of multiline editing,
+by invoking your favorite editor on the spot. IPython will execute the
+code you type in there as if it were typed interactively. Type %edit?
+for the full details on the edit command.
+
+If you have typed various commands during a session, which you'd like to
+reuse, IPython provides you with a number of tools. Start by using %hist
+to see your input history, so you can see the line numbers of all input.
+Let us say that you'd like to reuse lines 10 through 20, plus lines 24
+and 28. All the commands below can operate on these with the syntax::
+
+    %command 10-20 24 28 
+
+where the command given can be:
+
+    * %macro <macroname>: this stores the lines into a variable which,
+      when called at the prompt, re-executes the input. Macros can be
+      edited later using '%edit macroname', and they can be stored
+      persistently across sessions with '%store macroname' (the storage
+      system is per-profile). The combination of quick macros,
+      persistent storage and editing, allows you to easily refine
+      quick-and-dirty interactive input into permanent utilities, always
+      available both in IPython and as files for general reuse.
+    * %edit: this will open a text editor with those lines pre-loaded
+      for further modification. It will then execute the resulting
+      file's contents as if you had typed it at the prompt.
+    * %save <filename>: this saves the lines directly to a named file on
+      disk.
+
+While %macro saves input lines into memory for interactive re-execution,
+sometimes you'd like to save your input directly to a file. The %save
+magic does this: its input sytnax is the same as %macro, but it saves
+your input directly to a Python file. Note that the %logstart command
+also saves input, but it logs all input to disk (though you can
+temporarily suspend it and reactivate it with %logoff/%logon); %save
+allows you to select which lines of input you need to save.
+
+
+Lightweight 'version control'
+=============================
+
+When you call %edit with no arguments, IPython opens an empty editor
+with a temporary file, and it returns the contents of your editing
+session as a string variable. Thanks to IPython's output caching
+mechanism, this is automatically stored::
+
+    In [1]: %edit
+
+    IPython will make a temporary file named: /tmp/ipython_edit_yR-HCN.py
+
+    Editing... done. Executing edited code...
+
+    hello - this is a temporary file
+
+    Out[1]: "print 'hello - this is a temporary file'\n"
+
+Now, if you call '%edit -p', IPython tries to open an editor with the
+same data as the last time you used %edit. So if you haven't used %edit
+in the meantime, this same contents will reopen; however, it will be
+done in a new file. This means that if you make changes and you later
+want to find an old version, you can always retrieve it by using its
+output number, via '%edit _NN', where NN is the number of the output
+prompt.
+
+Continuing with the example above, this should illustrate this idea::
+
+    In [2]: edit -p
+
+    IPython will make a temporary file named: /tmp/ipython_edit_nA09Qk.py
+
+    Editing... done. Executing edited code...
+
+    hello - now I made some changes
+
+    Out[2]: "print 'hello - now I made some changes'\n"
+
+    In [3]: edit _1
+
+    IPython will make a temporary file named: /tmp/ipython_edit_gy6-zD.py
+
+    Editing... done. Executing edited code...
+
+    hello - this is a temporary file
+
+    IPython version control at work :)
+
+    Out[3]: "print 'hello - this is a temporary file'\nprint 'IPython version control at work :)'\n"
+
+
+This section was written after a contribution by Alexander Belchenko on
+the IPython user list.
+
+
+Effective logging
+=================
+
+A very useful suggestion sent in by Robert Kern follows:
+
+I recently happened on a nifty way to keep tidy per-project log files. I
+made a profile for my project (which is called "parkfield")::
+
+    include ipythonrc
+
+    # cancel earlier logfile invocation:
+
+    logfile ''
+
+    execute import time
+
+    execute __cmd = '/Users/kern/research/logfiles/parkfield-%s.log rotate'
+
+    execute __IP.magic_logstart(__cmd % time.strftime('%Y-%m-%d'))
+
+I also added a shell alias for convenience::
+
+    alias parkfield="ipython -pylab -profile parkfield" 
+
+Now I have a nice little directory with everything I ever type in,
+organized by project and date.
+
+Contribute your own: If you have your own favorite tip on using IPython
+efficiently for a certain task (especially things which can't be done in
+the normal Python interpreter), don't hesitate to send it!

docs/source/license_and_copyright.txt

@@ -0,0 +1,61 b''
+.. _license:
+
+=============================
+License and Copyright 
+=============================
+
+This files needs to be updated to reflect what the new COPYING.txt files says about our license and copyright!
+
+IPython is released under the terms of the BSD license, whose general
+form can be found at: http://www.opensource.org/licenses/bsd-license.php. The full text of the
+IPython license is reproduced below::
+
+    IPython is released under a BSD-type license.
+
+    Copyright (c) 2001, 2002, 2003, 2004 Fernando Perez
+    <[e-mail]>.
+
+    Copyright (c) 2001 Janko Hauser <[e-mail]> and  
+    Nathaniel Gray <[e-mail]>.
+
+    All rights reserved.
+
+    Redistribution and use in source and binary forms, with or without
+    modification, are permitted provided that the following conditions
+    are met:
+
+    a. Redistributions of source code must retain the above copyright
+    notice, this list of conditions and the following disclaimer.
+
+    b. Redistributions in binary form must reproduce the above copyright
+    notice, this list of conditions and the following disclaimer in the
+    documentation and/or other materials provided with the distribution.
+
+    c. Neither the name of the copyright holders nor the names of any
+    contributors to this software may be used to endorse or promote
+    products derived from this software without specific prior written
+    permission.
+
+    THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
+    "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
+    LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS
+    FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE
+    REGENTS OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT,
+    INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING,
+    BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
+    LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
+    CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT
+    LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN
+    ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE
+    POSSIBILITY OF SUCH DAMAGE. 
+
+Individual authors are the holders of the copyright for their code and
+are listed in each file.
+
+Some files (DPyGetOpt.py, for example) may be licensed under different
+conditions. Ultimately each file indicates clearly the conditions under
+which its author/authors have decided to publish the code.
+
+Versions of IPython up to and including 0.6.3 were released under the
+GNU Lesser General Public License (LGPL), available at
+http://www.gnu.org/copyleft/lesser.html.
  No newline at end of file

docs/source/overview.txt

@@ -0,0 +1,189 b''
+.. _overview:
+
+============
+Introduction
+============
+
+This is the official documentation for IPython 0.x series (i.e. what
+we are used to refer to just as "IPython"). The original text of the
+manual (most of which is still in place) has been authored by Fernando
+Perez, but as recommended usage patterns and new features have
+emerged, this manual has been updated to reflect that fact. Most of
+the additions have been authored by Ville M. Vainio.
+
+The manual has been generated from reStructuredText source markup with
+Sphinx, which should make it much easier to keep it up-to-date in the
+future. Some reST artifacts and bugs may still be apparent in the
+documentation, but this should improve as the toolchain matures.
+
+Overview
+========
+
+One of Python's most useful features is its interactive interpreter.
+This system allows very fast testing of ideas without the overhead of
+creating test files as is typical in most programming languages.
+However, the interpreter supplied with the standard Python distribution
+is somewhat limited for extended interactive use.
+
+IPython is a free software project (released under the BSD license)
+which tries to:
+
+   1. Provide an interactive shell superior to Python's default. IPython
+      has many features for object introspection, system shell access,
+      and its own special command system for adding functionality when
+      working interactively. It tries to be a very efficient environment
+      both for Python code development and for exploration of problems
+      using Python objects (in situations like data analysis).
+   2. Serve as an embeddable, ready to use interpreter for your own
+      programs. IPython can be started with a single call from inside
+      another program, providing access to the current namespace. This
+      can be very useful both for debugging purposes and for situations
+      where a blend of batch-processing and interactive exploration are
+      needed.
+   3. Offer a flexible framework which can be used as the base
+      environment for other systems with Python as the underlying
+      language. Specifically scientific environments like Mathematica,
+      IDL and Matlab inspired its design, but similar ideas can be
+      useful in many fields.
+   4. Allow interactive testing of threaded graphical toolkits. IPython
+      has support for interactive, non-blocking control of GTK, Qt and
+      WX applications via special threading flags. The normal Python
+      shell can only do this for Tkinter applications.
+
+
+Main features
+-------------
+
+* Dynamic object introspection. One can access docstrings, function
+  definition prototypes, source code, source files and other details
+  of any object accessible to the interpreter with a single
+  keystroke ('?', and using '??' provides additional detail).
+* Searching through modules and namespaces with '*' wildcards, both
+  when using the '?' system and via the %psearch command.
+* Completion in the local namespace, by typing TAB at the prompt.
+  This works for keywords, modules, methods, variables and files in the
+  current directory. This is supported via the readline library, and
+  full access to configuring readline's behavior is provided. 
+  Custom completers can be implemented easily for different purposes
+  (system commands, magic arguments etc.)
+* Numbered input/output prompts with command history (persistent
+  across sessions and tied to each profile), full searching in this
+  history and caching of all input and output.
+* User-extensible 'magic' commands. A set of commands prefixed with
+  % is available for controlling IPython itself and provides
+  directory control, namespace information and many aliases to
+  common system shell commands.
+* Alias facility for defining your own system aliases.
+* Complete system shell access. Lines starting with ! are passed
+  directly to the system shell, and using !! or var = !cmd 
+  captures shell output into python variables for further use.
+* Background execution of Python commands in a separate thread.
+  IPython has an internal job manager called jobs, and a
+  conveninence backgrounding magic function called %bg.
+* The ability to expand python variables when calling the system
+  shell. In a shell command, any python variable prefixed with $ is
+  expanded. A double $$ allows passing a literal $ to the shell (for
+  access to shell and environment variables like $PATH).
+* Filesystem navigation, via a magic %cd command, along with a
+  persistent bookmark system (using %bookmark) for fast access to
+  frequently visited directories.
+* A lightweight persistence framework via the %store command, which
+  allows you to save arbitrary Python variables. These get restored
+  automatically when your session restarts.
+* Automatic indentation (optional) of code as you type (through the
+  readline library).
+* Macro system for quickly re-executing multiple lines of previous
+  input with a single name. Macros can be stored persistently via
+  %store and edited via %edit.
+* Session logging (you can then later use these logs as code in your
+  programs). Logs can optionally timestamp all input, and also store
+  session output (marked as comments, so the log remains valid
+  Python source code).
+* Session restoring: logs can be replayed to restore a previous
+  session to the state where you left it.
+* Verbose and colored exception traceback printouts. Easier to parse
+  visually, and in verbose mode they produce a lot of useful
+  debugging information (basically a terminal version of the cgitb
+  module).
+* Auto-parentheses: callable objects can be executed without
+  parentheses: 'sin 3' is automatically converted to 'sin(3)'.
+* Auto-quoting: using ',' or ';' as the first character forces
+  auto-quoting of the rest of the line: ',my_function a b' becomes
+  automatically 'my_function("a","b")', while ';my_function a b'
+  becomes 'my_function("a b")'.
+* Extensible input syntax. You can define filters that pre-process
+  user input to simplify input in special situations. This allows
+  for example pasting multi-line code fragments which start with
+  '>>>' or '...' such as those from other python sessions or the
+  standard Python documentation.
+* Flexible configuration system. It uses a configuration file which
+  allows permanent setting of all command-line options, module
+  loading, code and file execution. The system allows recursive file
+  inclusion, so you can have a base file with defaults and layers
+  which load other customizations for particular projects.
+* Embeddable. You can call IPython as a python shell inside your own
+  python programs. This can be used both for debugging code or for
+  providing interactive abilities to your programs with knowledge
+  about the local namespaces (very useful in debugging and data
+  analysis situations).
+* Easy debugger access. You can set IPython to call up an enhanced
+  version of the Python debugger (pdb) every time there is an
+  uncaught exception. This drops you inside the code which triggered
+  the exception with all the data live and it is possible to
+  navigate the stack to rapidly isolate the source of a bug. The
+  %run magic command -with the -d option- can run any script under
+  pdb's control, automatically setting initial breakpoints for you.
+  This version of pdb has IPython-specific improvements, including
+  tab-completion and traceback coloring support. For even easier
+  debugger access, try %debug after seeing an exception. winpdb is 
+  also supported, see ipy_winpdb extension.
+* Profiler support. You can run single statements (similar to
+  profile.run()) or complete programs under the profiler's control.
+  While this is possible with standard cProfile or profile modules,
+  IPython wraps this functionality with magic commands (see '%prun'
+  and '%run -p') convenient for rapid interactive work.
+* Doctest support. The special %doctest_mode command toggles a mode
+  that allows you to paste existing doctests (with leading '>>>'
+  prompts and whitespace) and uses doctest-compatible prompts and
+  output, so you can use IPython sessions as doctest code.
+
+
+Portability and Python requirements
+-----------------------------------
+
+Python requirements: IPython requires with Python version 2.3 or newer.
+If you are still using Python 2.2 and can not upgrade, the last version
+of IPython which worked with Python 2.2 was 0.6.15, so you will have to
+use that.
+
+IPython is developed under Linux, but it should work in any reasonable
+Unix-type system (tested OK under Solaris and the BSD family, for which
+a port exists thanks to Dryice Liu).
+
+Mac OS X: it works, apparently without any problems (thanks to Jim Boyle
+at Lawrence Livermore for the information). Thanks to Andrea Riciputi,
+Fink support is available.
+
+CygWin: it works mostly OK, though some users have reported problems
+with prompt coloring. No satisfactory solution to this has been found so
+far, you may want to disable colors permanently in the ipythonrc
+configuration file if you experience problems. If you have proper color
+support under cygwin, please post to the IPython mailing list so this
+issue can be resolved for all users.
+
+Windows: it works well under Windows Vista/XP/2k, and I suspect NT should
+behave similarly. Section "Installation under windows" describes
+installation details for Windows, including some additional tools needed
+on this platform.
+
+Windows 9x support is present, and has been reported to work fine (at
+least on WinME).
+
+Location
+--------
+
+IPython is generously hosted at http://ipython.scipy.org by the
+Enthought, Inc and the SciPy project. This site offers downloads,
+subversion access, mailing lists and a bug tracking system. I am very
+grateful to Enthought (http://www.enthought.com) and all of the SciPy
+team for their contribution.
  No newline at end of file

docs/source/parallel/index.txt

@@ -0,0 +1,15 b''
+====================================
+Using IPython for Parallel computing
+====================================
+
+User Documentation
+==================
+
+.. toctree::
+   :maxdepth: 2
+
+   parallel_intro.txt
+   parallel_multiengine.txt
+   parallel_task.txt
+   parallel_mpi.txt
+

docs/source/parallel/parallel_intro.txt

@@ -0,0 +1,242 b''
+.. _ip1par:
+
+======================================
+Using IPython for parallel computing
+======================================
+
+.. contents::
+
+Introduction
+============
+
+This file gives an overview of IPython. IPython has a sophisticated and
+powerful architecture for parallel and distributed computing. This
+architecture abstracts out parallelism in a very general way, which
+enables IPython to support many different styles of parallelism
+including:
+
+	* Single program, multiple data (SPMD) parallelism.
+	* Multiple program, multiple data (MPMD) parallelism.
+	* Message passing using ``MPI``.
+	* Task farming.
+	* Data parallel.
+	* Combinations of these approaches.
+	* Custom user defined approaches.
+
+Most importantly, IPython enables all types of parallel applications to
+be developed, executed, debugged and monitored *interactively*. Hence,
+the ``I`` in IPython.  The following are some example usage cases for IPython:
+
+	* Quickly parallelize algorithms that are embarrassingly parallel
+	  using a number of simple approaches.  Many simple things can be
+	  parallelized interactively in one or two lines of code.
+	* Steer traditional MPI applications on a supercomputer from an
+	  IPython session on your laptop.
+	* Analyze and visualize large datasets (that could be remote and/or
+	  distributed) interactively using IPython and tools like
+	  matplotlib/TVTK.
+	* Develop, test and debug new parallel algorithms 
+	  (that may use MPI) interactively.
+	* Tie together multiple MPI jobs running on different systems into
+	  one giant distributed and parallel system.
+	* Start a parallel job on your cluster and then have a remote 	
+	  collaborator connect to it and pull back data into their 
+	  local IPython session for plotting and analysis.
+	* Run a set of tasks on a set of CPUs using dynamic load balancing.
+
+Architecture overview
+=====================
+
+The IPython architecture consists of three components:
+
+	* The IPython engine.
+	* The IPython controller.
+	* Various controller Clients.
+
+IPython engine
+---------------
+
+The IPython engine is a Python instance that takes Python commands over a
+network connection. Eventually, the IPython engine will be a full IPython
+interpreter, but for now, it is a regular Python interpreter. The engine
+can also handle incoming and outgoing Python objects sent over a network
+connection.  When multiple engines are started, parallel and distributed
+computing becomes possible. An important feature of an IPython engine is
+that it blocks while user code is being executed. Read on for how the
+IPython controller solves this problem to expose a clean asynchronous API
+to the user.
+
+IPython controller
+------------------
+
+The IPython controller provides an interface for working with a set of
+engines. At an general level, the controller is a process to which
+IPython engines can connect. For each connected engine, the controller
+manages a queue. All actions that can be performed on the engine go
+through this queue. While the engines themselves block when user code is
+run, the controller hides that from the user to provide a fully
+asynchronous interface to a set of engines. Because the controller
+listens on a network port for engines to connect to it, it must be
+started before any engines are started.  
+
+The controller also provides a single point of contact for users who wish
+to utilize the engines connected to the controller. There are different
+ways of working with a controller. In IPython these ways correspond to different interfaces that the controller is adapted to.  Currently we have two default interfaces to the controller: 
+
+	* The MultiEngine interface.
+	* The Task interface.
+
+Advanced users can easily add new custom interfaces to enable other
+styles of parallelism. 
+
+.. note:: 
+
+	A single controller and set of engines can be accessed 
+	through multiple interfaces simultaneously.  This opens the
+	door for lots of interesting things.  
+
+Controller clients
+------------------
+
+For each controller interface, there is a corresponding client. These
+clients allow users to interact with a set of engines through the
+interface.
+
+Security
+--------
+
+By default (as long as `pyOpenSSL` is installed) all network connections between the controller and engines and the controller and clients are secure.  What does this mean?  First of all, all of the connections will be encrypted using SSL.  Second, the connections are authenticated.  We handle authentication in a `capabilities`__ based security model.  In this model,  a "capability (known in some systems as a key) is a communicable, unforgeable token of authority".  Put simply, a capability is like a key to your house.  If you have the key to your house, you can get in, if not you can't.  
+
+.. __: http://en.wikipedia.org/wiki/Capability-based_security
+
+In our architecture, the controller is the only process that listens on network ports, and is thus responsible to creating these keys.  In IPython, these keys are known as Foolscap URLs, or FURLs, because of the underlying network protocol we are using.  As a user, you don't need to know anything about the details of these FURLs, other than that when the controller starts, it saves a set of FURLs to files named something.furl.  The default location of these files is your ~./ipython directory.
+
+To connect and authenticate to the controller an engine or client simply needs to present an appropriate furl (that was originally created by the controller) to the controller.  Thus, the .furl files need to be copied to a location where the clients and engines can find them.  Typically, this is the ~./ipython directory on the host where the client/engine is running (which could be a different host than the controller).  Once the .furl files are copied over, everything should work fine.
+
+Getting Started
+===============
+
+To use IPython for parallel computing, you need to start one instance of
+the controller and one or more instances of the engine. The controller
+and each engine can run on different machines or on the same machine.
+Because of this, there are many different possibilities for setting up
+the IP addresses and ports used by the various processes.
+
+Starting the controller and engine on your local machine
+--------------------------------------------------------
+
+This is the simplest configuration that can be used and is useful for
+testing the system and on machines that have multiple cores and/or
+multple CPUs. The easiest way of doing this is using the ``ipcluster``
+command::
+
+	$ ipcluster -n 4
+	
+This will start an IPython controller and then 4 engines that connect to
+the controller. Lastly, the script will print out the Python commands
+that you can use to connect to the controller. It is that easy.
+
+Underneath the hood, the ``ipcluster`` script uses two other top-level
+scripts that you can also use yourself. These scripts are
+``ipcontroller``, which starts the controller and ``ipengine`` which
+starts one engine. To use these scripts to start things on your local
+machine, do the following.
+
+First start the controller::
+
+	$ ipcontroller &
+	
+Next, start however many instances of the engine you want using (repeatedly) the command::
+
+	$ ipengine &
+
+.. warning:: 
+	
+	The order of the above operations is very important.  You *must*
+ 	start the controller before the engines, since the engines connect 
+	to the controller as they get started.
+
+On some platforms you may need to give these commands in the form
+``(ipcontroller &)`` and ``(ipengine &)`` for them to work properly. The
+engines should start and automatically connect to the controller on the
+default ports, which are chosen for this type of setup. You are now ready
+to use the controller and engines from IPython.
+
+Starting the controller and engines on different machines
+---------------------------------------------------------
+
+This section needs to be updated to reflect the new Foolscap capabilities based
+model.
+
+Using ``ipcluster`` with ``ssh``
+--------------------------------
+
+The ``ipcluster`` command can also start a controller and engines using
+``ssh``.  We need more documentation on this, but for now here is any
+example startup script::
+
+	controller = dict(host='myhost',
+	                  engine_port=None, # default is 10105
+	                  control_port=None,
+	                  )
+
+	# keys are hostnames, values are the number of engine on that host
+	engines = dict(node1=2,
+	               node2=2,
+	               node3=2,
+	               node3=2,
+	               )
+
+Starting engines using ``mpirun``
+---------------------------------
+
+The IPython engines can be started using ``mpirun``/``mpiexec``, even if
+the engines don't call MPI_Init() or use the MPI API in any way. This is
+supported on modern MPI implementations like `Open MPI`_.. This provides
+an really nice way of starting a bunch of engine. On a system with MPI
+installed you can do::
+
+	mpirun -n 4 ipengine --controller-port=10000 --controller-ip=host0
+
+.. _Open MPI: http://www.open-mpi.org/
+
+More details on using MPI with IPython can be found :ref:`here <parallelmpi>`.
+
+Log files
+---------
+
+All of the components of IPython have log files associated with them.
+These log files can be extremely useful in debugging problems with
+IPython and can be found in the directory ``~/.ipython/log``.  Sending
+the log files to us will often help us to debug any problems.
+
+Next Steps
+==========
+
+Once you have started the IPython controller and one or more engines, you
+are ready to use the engines to do somnething useful. To make sure
+everything is working correctly, try the following commands::
+
+	In [1]: from ipython1.kernel import client
+	
+	In [2]: mec = client.MultiEngineClient()    # This looks for .furl files in ~./ipython
+	
+	In [4]: mec.get_ids()
+	Out[4]: [0, 1, 2, 3]
+	
+	In [5]: mec.execute('print "Hello World"')
+	Out[5]: 
+	<Results List>
+	[0] In [1]: print "Hello World"
+	[0] Out[1]: Hello World
+
+	[1] In [1]: print "Hello World"
+	[1] Out[1]: Hello World
+
+	[2] In [1]: print "Hello World"
+	[2] Out[1]: Hello World
+
+	[3] In [1]: print "Hello World"
+	[3] Out[1]: Hello World
+
+If this works, you are ready to learn more about the :ref:`MultiEngine <parallelmultiengine>` and :ref:`Task <paralleltask>` interfaces to the controller.

docs/source/parallel/parallel_mpi.txt

@@ -0,0 +1,22 b''
+.. _parallelmpi:
+
+=======================
+Using MPI with IPython
+=======================
+
+The simplest way of getting started with MPI is to install an MPI implementation
+(we recommend `Open MPI`_) and `mpi4py`_ and then start the engines using the
+``mpirun`` command::
+
+	mpirun -n 4 ipengine --mpi=mpi4py
+	
+This will automatically import `mpi4py`_ and make sure that `MPI_Init` is called
+at the right time. We also have built in support for `PyTrilinos`_, which can be
+used (assuming `PyTrilinos`_ is installed) by starting the engines with::
+
+	mpirun -n 4 ipengine --mpi=pytrilinos
+
+.. _MPI: http://www-unix.mcs.anl.gov/mpi/
+.. _mpi4py: http://mpi4py.scipy.org/
+.. _Open MPI: http://www.open-mpi.org/
+.. _PyTrilinos: http://trilinos.sandia.gov/packages/pytrilinos/
  No newline at end of file

docs/source/parallel/parallel_multiengine.txt

@@ -0,0 +1,728 b''
+.. _parallelmultiengine:
+
+=================================
+IPython's MultiEngine interface
+=================================
+
+.. contents::
+
+The MultiEngine interface represents one possible way of working with a
+set of IPython engines. The basic idea behind the MultiEngine interface is
+that the capabilities of each engine are explicitly exposed to the user.
+Thus, in the MultiEngine interface, each engine is given an id that is
+used to identify the engine and give it work to do. This interface is very
+intuitive and is designed with interactive usage in mind, and is thus the
+best place for new users of IPython to begin.
+
+Starting the IPython controller and engines
+===========================================
+
+To follow along with this tutorial, you will need to start the IPython
+controller and four IPython engines. The simplest way of doing this is to
+use the ``ipcluster`` command::
+
+	$ ipcluster -n 4
+	
+For more detailed information about starting the controller and engines, see our :ref:`introduction <ip1par>` to using IPython for parallel computing.
+
+Creating a ``MultiEngineClient`` instance
+=========================================
+
+The first step is to import the IPython ``client`` module and then create a ``MultiEngineClient`` instance::
+
+	In [1]: from ipython1.kernel import client
+	
+	In [2]: mec = client.MultiEngineClient()
+
+To make sure there are engines connected to the controller, use can get a list of engine ids::
+
+	In [3]: mec.get_ids()
+	Out[3]: [0, 1, 2, 3]
+
+Here we see that there are four engines ready to do work for us.
+
+Running Python commands
+=======================
+
+The most basic type of operation that can be performed on the engines is to execute Python code. Executing Python code can be done in blocking or non-blocking mode (blocking is default) using the ``execute`` method.
+
+Blocking execution
+------------------
+
+In blocking mode, the ``MultiEngineClient`` object (called ``mec`` in
+these examples) submits the command to the controller, which places the
+command in the engines' queues for execution. The ``execute`` call then
+blocks until the engines are done executing the command::
+
+	# The default is to run on all engines
+	In [4]: mec.execute('a=5')
+	Out[4]: 
+	<Results List>
+	[0] In [1]: a=5
+	[1] In [1]: a=5
+	[2] In [1]: a=5
+	[3] In [1]: a=5
+
+	In [5]: mec.execute('b=10')
+	Out[5]: 
+	<Results List>
+	[0] In [2]: b=10
+	[1] In [2]: b=10
+	[2] In [2]: b=10
+	[3] In [2]: b=10
+
+Python commands can be executed on specific engines by calling execute using the ``targets`` keyword argument::
+
+	In [6]: mec.execute('c=a+b',targets=[0,2])
+	Out[6]: 
+	<Results List>
+	[0] In [3]: c=a+b
+	[2] In [3]: c=a+b
+
+
+	In [7]: mec.execute('c=a-b',targets=[1,3])
+	Out[7]: 
+	<Results List>
+	[1] In [3]: c=a-b
+	[3] In [3]: c=a-b
+
+
+	In [8]: mec.execute('print c')
+	Out[8]: 
+	<Results List>
+	[0] In [4]: print c
+	[0] Out[4]: 15
+
+	[1] In [4]: print c
+	[1] Out[4]: -5
+
+	[2] In [4]: print c
+	[2] Out[4]: 15
+
+	[3] In [4]: print c
+	[3] Out[4]: -5
+
+This example also shows one of the most important things about the IPython engines: they have a persistent user namespaces.  The ``execute`` method returns a Python ``dict`` that contains useful information::
+
+	In [9]: result_dict = mec.execute('d=10; print d')
+
+	In [10]: for r in result_dict:
+	   ....:     print r
+	   ....:     
+	   ....:     
+	{'input': {'translated': 'd=10; print d', 'raw': 'd=10; print d'}, 'number': 5, 'id': 0, 'stdout': '10\n'}
+	{'input': {'translated': 'd=10; print d', 'raw': 'd=10; print d'}, 'number': 5, 'id': 1, 'stdout': '10\n'}
+	{'input': {'translated': 'd=10; print d', 'raw': 'd=10; print d'}, 'number': 5, 'id': 2, 'stdout': '10\n'}
+	{'input': {'translated': 'd=10; print d', 'raw': 'd=10; print d'}, 'number': 5, 'id': 3, 'stdout': '10\n'}
+
+Non-blocking execution
+----------------------
+
+In non-blocking mode, ``execute`` submits the command to be executed and then returns a
+``PendingResult`` object immediately. The ``PendingResult`` object gives you a way of getting a
+result at a later time through its ``get_result`` method or ``r`` attribute. This allows you to
+quickly submit long running commands without blocking your local Python/IPython session::
+
+	# In blocking mode
+	In [6]: mec.execute('import time')
+	Out[6]:
+	<Results List>
+	[0] In [1]: import time
+	[1] In [1]: import time
+	[2] In [1]: import time
+	[3] In [1]: import time
+
+	# In non-blocking mode
+	In [7]: pr = mec.execute('time.sleep(10)',block=False)
+
+	# Now block for the result
+	In [8]: pr.get_result()
+	Out[8]:
+	<Results List>
+	[0] In [2]: time.sleep(10)
+	[1] In [2]: time.sleep(10)
+	[2] In [2]: time.sleep(10)
+	[3] In [2]: time.sleep(10)
+
+	# Again in non-blocking mode
+	In [9]: pr = mec.execute('time.sleep(10)',block=False)
+
+	# Poll to see if the result is ready
+	In [10]: pr.get_result(block=False)
+
+	# A shorthand for get_result(block=True)
+	In [11]: pr.r
+	Out[11]:
+	<Results List>
+	[0] In [3]: time.sleep(10)
+	[1] In [3]: time.sleep(10)
+	[2] In [3]: time.sleep(10)
+	[3] In [3]: time.sleep(10)
+
+Often, it is desirable to wait until a set of ``PendingResult`` objects are done.  For this, there is a the method ``barrier``.  This method takes a tuple of ``PendingResult`` objects and blocks until all of the associated results are ready::
+
+	In [72]: mec.block=False
+
+	# A trivial list of PendingResults objects
+	In [73]: pr_list = [mec.execute('time.sleep(3)') for i in range(10)]
+
+	# Wait until all of them are done
+	In [74]: mec.barrier(pr_list)
+
+	# Then, their results are ready using get_result or the r attribute
+	In [75]: pr_list[0].r
+	Out[75]: 
+	<Results List>
+	[0] In [20]: time.sleep(3)
+	[1] In [19]: time.sleep(3)
+	[2] In [20]: time.sleep(3)
+	[3] In [19]: time.sleep(3)
+
+
+The ``block`` and ``targets`` keyword arguments and attributes
+--------------------------------------------------------------
+
+Most commands in the multiengine interface (like ``execute``) accept ``block`` and ``targets``
+as keyword arguments. As we have seen above, these keyword arguments control the blocking mode
+and which engines the command is applied to. The ``MultiEngineClient`` class also has ``block``
+and ``targets`` attributes that control the default behavior when the keyword arguments are not
+provided. Thus the following logic is used for ``block`` and ``targets``:
+
+	* If no keyword argument is provided, the instance attributes are used.
+	* Keyword argument, if provided override the instance attributes.
+
+The following examples demonstrate how to use the instance attributes::
+
+	In [16]: mec.targets = [0,2]
+
+	In [17]: mec.block = False
+
+	In [18]: pr = mec.execute('a=5')
+
+	In [19]: pr.r
+	Out[19]: 
+	<Results List>
+	[0] In [6]: a=5
+	[2] In [6]: a=5
+
+	# Note targets='all' means all engines
+	In [20]: mec.targets = 'all'
+
+	In [21]: mec.block = True
+
+	In [22]: mec.execute('b=10; print b')
+	Out[22]: 
+	<Results List>
+	[0] In [7]: b=10; print b
+	[0] Out[7]: 10
+
+	[1] In [6]: b=10; print b
+	[1] Out[6]: 10
+
+	[2] In [7]: b=10; print b
+	[2] Out[7]: 10
+
+	[3] In [6]: b=10; print b
+	[3] Out[6]: 10
+
+The ``block`` and ``targets`` instance attributes also determine the behavior of the parallel
+magic commands...
+
+
+Parallel magic commands
+-----------------------
+
+We provide a few IPython magic commands (``%px``, ``%autopx`` and ``%result``) that make it more pleasant to execute Python commands on the engines interactively. These are simply shortcuts to ``execute`` and ``get_result``. The ``%px`` magic executes a single Python command on the engines specified by the `magicTargets``targets` attribute of the ``MultiEngineClient`` instance (by default this is 'all')::
+
+	# Make this MultiEngineClient active for parallel magic commands
+	In [23]: mec.activate()
+
+	In [24]: mec.block=True
+
+	In [25]: import numpy
+
+	In [26]: %px import numpy
+	Executing command on Controller
+	Out[26]:
+	<Results List>
+	[0] In [8]: import numpy
+	[1] In [7]: import numpy
+	[2] In [8]: import numpy
+	[3] In [7]: import numpy
+
+
+	In [27]: %px a = numpy.random.rand(2,2)
+	Executing command on Controller
+	Out[27]:
+	<Results List>
+	[0] In [9]: a = numpy.random.rand(2,2)
+	[1] In [8]: a = numpy.random.rand(2,2)
+	[2] In [9]: a = numpy.random.rand(2,2)
+	[3] In [8]: a = numpy.random.rand(2,2)
+
+
+	In [28]: %px print numpy.linalg.eigvals(a)
+	Executing command on Controller
+	Out[28]:
+	<Results List>
+	[0] In [10]: print numpy.linalg.eigvals(a)
+	[0] Out[10]: [ 1.28167017  0.14197338]
+
+	[1] In [9]: print numpy.linalg.eigvals(a)
+	[1] Out[9]: [-0.14093616  1.27877273]
+
+	[2] In [10]: print numpy.linalg.eigvals(a)
+	[2] Out[10]: [-0.37023573  1.06779409]
+
+	[3] In [9]: print numpy.linalg.eigvals(a)
+	[3] Out[9]: [ 0.83664764 -0.25602658]
+
+The ``%result`` magic gets and prints the stdin/stdout/stderr of the last command executed on each engine.  It is simply a shortcut to the ``get_result`` method::
+
+	In [29]: %result
+	Out[29]:
+	<Results List>
+	[0] In [10]: print numpy.linalg.eigvals(a)
+	[0] Out[10]: [ 1.28167017  0.14197338]
+
+	[1] In [9]: print numpy.linalg.eigvals(a)
+	[1] Out[9]: [-0.14093616  1.27877273]
+
+	[2] In [10]: print numpy.linalg.eigvals(a)
+	[2] Out[10]: [-0.37023573  1.06779409]
+
+	[3] In [9]: print numpy.linalg.eigvals(a)
+	[3] Out[9]: [ 0.83664764 -0.25602658]
+
+The ``%autopx`` magic switches to a mode where everything you type is executed on the engines given by the ``targets`` attribute::
+
+	In [30]: mec.block=False
+
+	In [31]: %autopx
+	Auto Parallel Enabled
+	Type %autopx to disable
+
+	In [32]: max_evals = []
+	<ipython1.kernel.multiengineclient.PendingResult object at 0x17b8a70>
+
+	In [33]: for i in range(100):
+	   ....:     a = numpy.random.rand(10,10)
+	   ....:     a = a+a.transpose()
+	   ....:     evals = numpy.linalg.eigvals(a)
+	   ....:     max_evals.append(evals[0].real)
+	   ....:
+	   ....:
+	<ipython1.kernel.multiengineclient.PendingResult object at 0x17af8f0>
+
+	In [34]: %autopx
+	Auto Parallel Disabled
+
+	In [35]: mec.block=True
+
+	In [36]: px print "Average max eigenvalue is: ", sum(max_evals)/len(max_evals)
+	Executing command on Controller
+	Out[36]:
+	<Results List>
+	[0] In [13]: print "Average max eigenvalue is: ", sum(max_evals)/len(max_evals)
+	[0] Out[13]: Average max eigenvalue is:  10.1387247332
+
+	[1] In [12]: print "Average max eigenvalue is: ", sum(max_evals)/len(max_evals)
+	[1] Out[12]: Average max eigenvalue is:  10.2076902286
+
+	[2] In [13]: print "Average max eigenvalue is: ", sum(max_evals)/len(max_evals)
+	[2] Out[13]: Average max eigenvalue is:  10.1891484655
+
+	[3] In [12]: print "Average max eigenvalue is: ", sum(max_evals)/len(max_evals)
+	[3] Out[12]: Average max eigenvalue is:  10.1158837784
+
+Using the ``with`` statement of Python 2.5
+------------------------------------------
+
+Python 2.5 introduced the ``with`` statement.  The ``MultiEngineClient`` can be used with the ``with`` statement to execute a block of code on the engines indicated by the ``targets`` attribute::
+
+	In [3]: with mec:
+	   ...:     client.remote()    # Required so the following code is not run locally
+	   ...:     a = 10
+	   ...:     b = 30
+	   ...:     c = a+b
+	   ...:     
+	   ...:     
+
+	In [4]: mec.get_result()
+	Out[4]: 
+	<Results List>
+	[0] In [1]: a = 10
+	b = 30
+	c = a+b
+
+	[1] In [1]: a = 10
+	b = 30
+	c = a+b
+
+	[2] In [1]: a = 10
+	b = 30
+	c = a+b
+
+	[3] In [1]: a = 10
+	b = 30
+	c = a+b
+
+This is basically another way of calling execute, but one with allows you to avoid writing code in strings.  When used in this way, the attributes ``targets`` and ``block`` are used to control how the code is executed.  For now, if you run code in non-blocking mode you won't have access to the ``PendingResult``.
+
+Moving Python object around
+===========================
+
+In addition to executing code on engines, you can transfer Python objects to and from your
+IPython session and the engines. In IPython, these operations are called ``push`` (sending an
+object to the engines) and ``pull`` (getting an object from the engines).
+
+Basic push and pull
+-------------------
+
+Here are some examples of how you use ``push`` and ``pull``::
+
+	In [38]: mec.push(dict(a=1.03234,b=3453))
+	Out[38]: [None, None, None, None]
+
+	In [39]: mec.pull('a')
+	Out[39]: [1.03234, 1.03234, 1.03234, 1.03234]
+
+	In [40]: mec.pull('b',targets=0)
+	Out[40]: [3453]
+
+	In [41]: mec.pull(('a','b'))
+	Out[41]: [[1.03234, 3453], [1.03234, 3453], [1.03234, 3453], [1.03234, 3453]]
+
+	In [42]: mec.zip_pull(('a','b'))
+	Out[42]: [(1.03234, 1.03234, 1.03234, 1.03234), (3453, 3453, 3453, 3453)]
+
+	In [43]: mec.push(dict(c='speed'))
+	Out[43]: [None, None, None, None]
+
+	In [44]: %px print c
+	Executing command on Controller
+	Out[44]: 
+	<Results List>
+	[0] In [14]: print c
+	[0] Out[14]: speed
+
+	[1] In [13]: print c
+	[1] Out[13]: speed
+
+	[2] In [14]: print c
+	[2] Out[14]: speed
+
+	[3] In [13]: print c
+	[3] Out[13]: speed
+
+In non-blocking mode ``push`` and ``pull`` also return ``PendingResult`` objects::
+
+	In [47]: mec.block=False
+
+	In [48]: pr = mec.pull('a')
+
+	In [49]: pr.r
+	Out[49]: [1.03234, 1.03234, 1.03234, 1.03234]
+
+
+Push and pull for functions
+---------------------------
+
+Functions can also be pushed and pulled using ``push_function`` and ``pull_function``::
+
+	In [53]: def f(x):
+	   ....:     return 2.0*x**4
+	   ....: 
+
+	In [54]: mec.push_function(dict(f=f))
+	Out[54]: [None, None, None, None]
+
+	In [55]: mec.execute('y = f(4.0)')
+	Out[55]: 
+	<Results List>
+	[0] In [15]: y = f(4.0)
+	[1] In [14]: y = f(4.0)
+	[2] In [15]: y = f(4.0)
+	[3] In [14]: y = f(4.0)
+
+
+	In [56]: px print y
+	Executing command on Controller
+	Out[56]: 
+	<Results List>
+	[0] In [16]: print y
+	[0] Out[16]: 512.0
+
+	[1] In [15]: print y
+	[1] Out[15]: 512.0
+
+	[2] In [16]: print y
+	[2] Out[16]: 512.0
+
+	[3] In [15]: print y
+	[3] Out[15]: 512.0
+
+
+Dictionary interface
+--------------------
+
+As a shorthand to ``push`` and ``pull``, the ``MultiEngineClient`` class implements some of the Python dictionary interface. This make the remote namespaces of the engines appear as a local dictionary. Underneath, this uses ``push`` and ``pull``::
+
+	In [50]: mec.block=True
+
+	In [51]: mec['a']=['foo','bar']
+
+	In [52]: mec['a']
+	Out[52]: [['foo', 'bar'], ['foo', 'bar'], ['foo', 'bar'], ['foo', 'bar']]
+
+Scatter and gather
+------------------
+
+Sometimes it is useful to partition a sequence and push the partitions to different engines. In
+MPI language, this is know as scatter/gather and we follow that terminology. However, it is
+important to remember that in IPython ``scatter`` is from the interactive IPython session to
+the engines and ``gather`` is from the engines back to the interactive IPython session. For
+scatter/gather operations between engines, MPI should be used::
+
+	In [58]: mec.scatter('a',range(16))
+	Out[58]: [None, None, None, None]
+
+	In [59]: px print a
+	Executing command on Controller
+	Out[59]: 
+	<Results List>
+	[0] In [17]: print a
+	[0] Out[17]: [0, 1, 2, 3]
+
+	[1] In [16]: print a
+	[1] Out[16]: [4, 5, 6, 7]
+
+	[2] In [17]: print a
+	[2] Out[17]: [8, 9, 10, 11]
+
+	[3] In [16]: print a
+	[3] Out[16]: [12, 13, 14, 15]
+
+
+	In [60]: mec.gather('a')
+	Out[60]: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15]
+
+Other things to look at
+=======================
+
+Parallel map
+------------
+
+Python's builtin ``map`` functions allows a function to be applied to a sequence element-by-element.  This type of code is typically trivial to parallelize.  In fact, the MultiEngine interface in IPython already has a parallel version of ``map`` that works just like its serial counterpart::
+
+	In [63]: serial_result = map(lambda x:x**10, range(32))
+
+	In [64]: parallel_result = mec.map(lambda x:x**10, range(32))
+
+	In [65]: serial_result==parallel_result
+	Out[65]: True
+
+As you would expect, the parallel version of ``map`` is also influenced by the ``block`` and ``targets`` keyword arguments and attributes.
+
+How to do parallel list comprehensions
+--------------------------------------
+
+In many cases list comprehensions are nicer than using the map function.  While we don't have fully parallel list comprehensions, it is simple to get the basic effect using ``scatter`` and ``gather``::
+
+	In [66]: mec.scatter('x',range(64))
+	Out[66]: [None, None, None, None]
+
+	In [67]: px y = [i**10 for i in x]
+	Executing command on Controller
+	Out[67]: 
+	<Results List>
+	[0] In [19]: y = [i**10 for i in x]
+	[1] In [18]: y = [i**10 for i in x]
+	[2] In [19]: y = [i**10 for i in x]
+	[3] In [18]: y = [i**10 for i in x]
+
+
+	In [68]: y = mec.gather('y')
+
+	In [69]: print y
+	[0, 1, 1024, 59049, 1048576, 9765625, 60466176, 282475249, 1073741824,...]
+
+Parallel Exceptions
+-------------------
+
+In the MultiEngine interface, parallel commands can raise Python exceptions, just like serial commands.  But, it is a little subtle, because a single parallel command can actually raise multiple exceptions (one for each engine the command was run on).  To express this idea, the MultiEngine interface has a ``CompositeError`` exception class that will be raised in most cases.  The ``CompositeError`` class is a special type of exception that wraps one or more other types of exceptions.  Here is how it works::
+
+	In [76]: mec.block=True
+
+	In [77]: mec.execute('1/0')
+	---------------------------------------------------------------------------
+	CompositeError                            Traceback (most recent call last)
+
+	/ipython1-client-r3021/docs/examples/<ipython console> in <module>()
+
+	/ipython1-client-r3021/ipython1/kernel/multiengineclient.pyc in execute(self, lines, targets, block)
+	    432         targets, block = self._findTargetsAndBlock(targets, block)
+	    433         result = blockingCallFromThread(self.smultiengine.execute, lines,
+	--> 434             targets=targets, block=block)
+	    435         if block:
+	    436             result = ResultList(result)
+
+	/ipython1-client-r3021/ipython1/kernel/twistedutil.pyc in blockingCallFromThread(f, *a, **kw)
+	     72             result.raiseException()
+	     73         except Exception, e:
+	---> 74             raise e
+	     75     return result
+	     76 
+
+	CompositeError: one or more exceptions from call to method: execute
+	[0:execute]: ZeroDivisionError: integer division or modulo by zero
+	[1:execute]: ZeroDivisionError: integer division or modulo by zero
+	[2:execute]: ZeroDivisionError: integer division or modulo by zero
+	[3:execute]: ZeroDivisionError: integer division or modulo by zero
+
+Notice how the error message printed when ``CompositeError`` is raised has information about the individual exceptions that were raised on each engine.  If you want, you can even raise one of these original exceptions::
+
+	In [80]: try:
+	   ....:     mec.execute('1/0')
+	   ....: except client.CompositeError, e:
+	   ....:     e.raise_exception()
+	   ....:     
+	   ....:     
+	---------------------------------------------------------------------------
+	ZeroDivisionError                         Traceback (most recent call last)
+
+	/ipython1-client-r3021/docs/examples/<ipython console> in <module>()
+
+	/ipython1-client-r3021/ipython1/kernel/error.pyc in raise_exception(self, excid)
+	    156             raise IndexError("an exception with index %i does not exist"%excid)
+	    157         else:
+	--> 158             raise et, ev, etb
+	    159 
+	    160 def collect_exceptions(rlist, method):
+
+	ZeroDivisionError: integer division or modulo by zero
+
+If you are working in IPython, you can simple type ``%debug`` after one of these ``CompositeError`` is raised, and inspect the exception instance::
+
+	In [81]: mec.execute('1/0')
+	---------------------------------------------------------------------------
+	CompositeError                            Traceback (most recent call last)
+
+	/ipython1-client-r3021/docs/examples/<ipython console> in <module>()
+
+	/ipython1-client-r3021/ipython1/kernel/multiengineclient.pyc in execute(self, lines, targets, block)
+	    432         targets, block = self._findTargetsAndBlock(targets, block)
+	    433         result = blockingCallFromThread(self.smultiengine.execute, lines,
+	--> 434             targets=targets, block=block)
+	    435         if block:
+	    436             result = ResultList(result)
+
+	/ipython1-client-r3021/ipython1/kernel/twistedutil.pyc in blockingCallFromThread(f, *a, **kw)
+	     72             result.raiseException()
+	     73         except Exception, e:
+	---> 74             raise e
+	     75     return result
+	     76 
+
+	CompositeError: one or more exceptions from call to method: execute
+	[0:execute]: ZeroDivisionError: integer division or modulo by zero
+	[1:execute]: ZeroDivisionError: integer division or modulo by zero
+	[2:execute]: ZeroDivisionError: integer division or modulo by zero
+	[3:execute]: ZeroDivisionError: integer division or modulo by zero
+
+	In [82]: %debug
+	> 
+	
+	/ipython1-client-r3021/ipython1/kernel/twistedutil.py(74)blockingCallFromThread()
+	     73         except Exception, e:
+	---> 74             raise e
+	     75     return result
+
+	# With the debugger running, e is the exceptions instance.  We can tab complete
+	# on it and see the extra methods that are available.
+	ipdb> e.
+	e.__class__         e.__getitem__       e.__new__           e.__setstate__      e.args
+	e.__delattr__       e.__getslice__      e.__reduce__        e.__str__           e.elist
+	e.__dict__          e.__hash__          e.__reduce_ex__     e.__weakref__       e.message
+	e.__doc__           e.__init__          e.__repr__          e._get_engine_str   e.print_tracebacks
+	e.__getattribute__  e.__module__        e.__setattr__       e._get_traceback    e.raise_exception
+	ipdb> e.print_tracebacks()
+	[0:execute]: 
+	---------------------------------------------------------------------------
+	ZeroDivisionError                         Traceback (most recent call last)
+
+	/ipython1-client-r3021/docs/examples/<string> in <module>()
+
+	ZeroDivisionError: integer division or modulo by zero
+
+	[1:execute]: 
+	---------------------------------------------------------------------------
+	ZeroDivisionError                         Traceback (most recent call last)
+
+	/ipython1-client-r3021/docs/examples/<string> in <module>()
+
+	ZeroDivisionError: integer division or modulo by zero
+
+	[2:execute]: 
+	---------------------------------------------------------------------------
+	ZeroDivisionError                         Traceback (most recent call last)
+
+	/ipython1-client-r3021/docs/examples/<string> in <module>()
+
+	ZeroDivisionError: integer division or modulo by zero
+
+	[3:execute]: 
+	---------------------------------------------------------------------------
+	ZeroDivisionError                         Traceback (most recent call last)
+
+	/ipython1-client-r3021/docs/examples/<string> in <module>()
+
+	ZeroDivisionError: integer division or modulo by zero
+
+All of this same error handling magic even works in non-blocking mode::
+
+	In [83]: mec.block=False
+
+	In [84]: pr = mec.execute('1/0')
+
+	In [85]: pr.r
+	---------------------------------------------------------------------------
+	CompositeError                            Traceback (most recent call last)
+
+	/ipython1-client-r3021/docs/examples/<ipython console> in <module>()
+
+	/ipython1-client-r3021/ipython1/kernel/multiengineclient.pyc in _get_r(self)
+	    170 
+	    171     def _get_r(self):
+	--> 172         return self.get_result(block=True)
+	    173 
+	    174     r = property(_get_r)
+
+	/ipython1-client-r3021/ipython1/kernel/multiengineclient.pyc in get_result(self, default, block)
+	    131                 return self.result
+	    132         try:
+	--> 133             result = self.client.get_pending_deferred(self.result_id, block)
+	    134         except error.ResultNotCompleted:
+	    135             return default
+
+	/ipython1-client-r3021/ipython1/kernel/multiengineclient.pyc in get_pending_deferred(self, deferredID, block)
+	    385 
+	    386     def get_pending_deferred(self, deferredID, block):
+	--> 387         return blockingCallFromThread(self.smultiengine.get_pending_deferred, deferredID, block)
+	    388 
+	    389     def barrier(self, pendingResults):
+
+	/ipython1-client-r3021/ipython1/kernel/twistedutil.pyc in blockingCallFromThread(f, *a, **kw)
+	     72             result.raiseException()
+	     73         except Exception, e:
+	---> 74             raise e
+	     75     return result
+	     76 
+
+	CompositeError: one or more exceptions from call to method: execute
+	[0:execute]: ZeroDivisionError: integer division or modulo by zero
+	[1:execute]: ZeroDivisionError: integer division or modulo by zero
+	[2:execute]: ZeroDivisionError: integer division or modulo by zero
+	[3:execute]: ZeroDivisionError: integer division or modulo by zero
+
+

docs/source/parallel/parallel_task.txt

@@ -0,0 +1,240 b''
+.. _paralleltask:
+
+=================================
+The IPython Task interface
+=================================
+
+.. contents::
+
+The ``Task`` interface to the controller presents the engines as a fault tolerant, dynamic load-balanced system or workers. Unlike the ``MultiEngine`` interface, in the ``Task`` interface, the user have no direct access to individual engines. In some ways, this interface is simpler, but in other ways it is more powerful. Best of all the user can use both of these interfaces at the same time to take advantage or both of their strengths.  When the user can break up the user's work into segments that do not depend on previous execution, the ``Task`` interface is ideal.  But it also has more power and flexibility, allowing the user to guide the distribution of jobs, without having to assign Tasks to engines explicitly.
+
+Starting the IPython controller and engines
+===========================================
+
+To follow along with this tutorial, the user will need to start the IPython
+controller and four IPython engines. The simplest way of doing this is to
+use the ``ipcluster`` command::
+
+	$ ipcluster -n 4
+	
+For more detailed information about starting the controller and engines, see our :ref:`introduction <ip1par>` to using IPython for parallel computing.
+
+The magic here is that this single controller and set of engines is running both the MultiEngine and ``Task`` interfaces simultaneously.
+
+QuickStart Task Farming
+=======================
+
+First, a quick example of how to start running the most basic Tasks.
+The first step is to import the IPython ``client`` module and then create a ``TaskClient`` instance::
+    
+    In [1]: from ipython1.kernel import client
+    
+    In [2]: tc = client.TaskClient()
+
+Then the user wrap the commands the user want to run in Tasks::
+
+    In [3]: tasklist = []
+    In [4]: for n in range(1000):
+        ...     tasklist.append(client.Task("a = %i"%n, pull="a"))
+
+The first argument of the ``Task`` constructor is a string, the command to be executed.  The most important optional keyword argument is ``pull``, which can be a string or list of strings, and it specifies the variable names to be saved as results of the ``Task``.
+
+Next, the user need to submit the Tasks to the ``TaskController`` with the ``TaskClient``::
+
+    In [5]: taskids = [ tc.run(t) for t in tasklist ]
+
+This will give the user a list of the TaskIDs used by the controller to keep track of the Tasks and their results.  Now at some point the user are going to want to get those results back.  The ``barrier`` method allows the user to wait for the Tasks to finish running::
+
+    In [6]: tc.barrier(taskids)
+
+This command will block until all the Tasks in ``taskids`` have finished.  Now, the user probably want to look at the user's results::
+
+    In [7]: task_results = [ tc.get_task_result(taskid) for taskid in taskids ]
+
+Now the user have a list of ``TaskResult`` objects, which have the actual result as a dictionary, but also keep track of some useful metadata about the ``Task``::
+
+    In [8]: tr = ``Task``_results[73]
+    
+    In [9]: tr
+    Out[9]: ``TaskResult``[ID:73]:{'a':73}
+    
+    In [10]: tr.engineid
+    Out[10]: 1
+    
+    In [11]: tr.submitted, tr.completed, tr.duration
+    Out[11]: ("2008/03/08 03:41:42", "2008/03/08 03:41:44", 2.12345)
+
+The actual results are stored in a dictionary, ``tr.results``, and a namespace object ``tr.ns`` which accesses the result keys by attribute::
+
+    In [12]: tr.results['a']
+    Out[12]: 73
+    
+    In [13]: tr.ns.a
+    Out[13]: 73
+
+That should cover the basics of running simple Tasks.  There are several more powerful things the user can do with Tasks covered later.  The most useful probably being using a ``MutiEngineClient`` interface to initialize all the engines with the import dependencies necessary to run the user's Tasks.
+
+There are many options for running and managing Tasks. The best way to learn further about the ``Task`` interface is to study the examples in ``docs/examples``. If the user do so and learn a lots about this interface, we encourage the user to expand this documentation about the ``Task`` system.
+
+Overview of the Task System
+===========================
+
+The user's view of the ``Task`` system has three basic objects:  The ``TaskClient``, the ``Task``, and the ``TaskResult``.  The names of these three objects well indicate their role.
+
+The ``TaskClient`` is the user's ``Task`` farming connection to the IPython cluster.  Unlike the ``MultiEngineClient``, the ``TaskControler`` handles all the scheduling and distribution of work, so the ``TaskClient`` has no notion of engines, it just submits Tasks and requests their results.  The Tasks are described as ``Task`` objects, and their results are wrapped in ``TaskResult`` objects.  Thus, there are very few necessary methods for the user to manage.
+
+Inside the task system is a Scheduler object, which assigns tasks to workers.  The default scheduler is a simple FIFO queue.  Subclassing the Scheduler should be easy, just implementing your own priority system.
+
+The TaskClient
+==============
+
+The ``TaskClient`` is the object the user use to connect to the ``Controller`` that is managing the user's Tasks.  It is the analog of the ``MultiEngineClient`` for the standard IPython multiplexing interface.  As with all client interfaces, the first step is to import the IPython Client Module::
+
+    In [1]: from ipython1.kernel import client
+
+Just as with the ``MultiEngineClient``, the user create the ``TaskClient`` with a tuple, containing the ip-address and port of the ``Controller``.  the ``client`` module conveniently has the default address of the ``Task`` interface of the controller.  Creating a default ``TaskClient`` object would be done with this::
+
+    In [2]: tc = client.TaskClient(client.default_task_address)
+
+or, if the user want to specify a non default location of the ``Controller``, the user can specify explicitly::
+
+    In [3]: tc = client.TaskClient(("192.168.1.1", 10113))
+
+As discussed earlier, the ``TaskClient`` only has a few basic methods.
+
+ * ``tc.run(task)``
+    ``run`` is the method by which the user submits Tasks.  It takes exactly one argument, a ``Task`` object.  All the advanced control of ``Task`` behavior is handled by properties of the ``Task`` object, rather than the submission command, so they will be discussed later in the `Task`_ section.  ``run`` returns an integer, the ``Task``ID by which the ``Task`` and its results can be tracked and retrieved::
+    
+        In [4]: ``Task``ID = tc.run(``Task``)
+    
+ * ``tc.get_task_result(taskid, block=``False``)``
+    ``get_task_result`` is the method by which results are retrieved.  It takes a single integer argument, the ``Task``ID`` of the result the user wish to retrieve.  ``get_task_result`` also takes a keyword argument ``block``.  ``block`` specifies whether the user actually want to wait for the result.  If ``block`` is false, as it is by default, ``get_task_result`` will return immediately.  If the ``Task`` has completed, it will return the ``TaskResult`` object for that ``Task``.  But if the ``Task`` has not completed, it will return ``None``.  If the user specify ``block=``True``, then ``get_task_result`` will wait for the ``Task`` to complete, and always return the ``TaskResult`` for the requested ``Task``.
+ * ``tc.barrier(taskid(s))``
+    ``barrier`` is a synchronization method.  It takes exactly one argument, a ``Task``ID or list of taskIDs.  ``barrier`` will block until all the specified Tasks have completed.  In practice, a barrier is often called between the ``Task`` submission section of the code and the result gathering section::
+        
+        In [5]: taskIDs = [ tc.run(``Task``) for ``Task`` in myTasks ]
+        
+        In [6]: tc.get_task_result(taskIDs[-1]) is None
+        Out[6]: ``True``
+        
+        In [7]: tc.barrier(``Task``ID)
+        
+        In [8]: results = [ tc.get_task_result(tid) for tid in taskIDs ]
+        
+ * ``tc.queue_status(verbose=``False``)``
+    ``queue_status`` is a method for querying the state of the ``TaskControler``.  ``queue_status`` returns a dict of the form::
+        
+        {'scheduled': Tasks that have been submitted but yet run
+         'pending'  : Tasks that are currently running
+         'succeeded': Tasks that have completed successfully
+         'failed'   : Tasks that have finished with a failure
+        }
+    
+    if @verbose is not specified (or is ``False``), then the values of the dict are integers - the number of Tasks in each state.  if @verbose is ``True``, then each element in the dict is a list of the taskIDs in that state::
+    
+        In [8]: tc.queue_status()
+        Out[8]: {'scheduled': 4,
+                'pending'  : 2,
+                'succeeded': 5,
+                'failed'   : 1
+                }
+        
+        In [9]: tc.queue_status(verbose=True)
+        Out[9]: {'scheduled': [8,9,10,11],
+                'pending'  : [6,7],
+                'succeeded': [0,1,2,4,5],
+                'failed'   : [3]
+                }
+        
+ * ``tc.abort(taskid)``
+    ``abort`` allows the user to abort Tasks that have already been submitted.  ``abort`` will always return immediately.  If the ``Task`` has completed, ``abort`` will raise an ``IndexError ``Task`` Already Completed``.  An obvious case for ``abort`` would be where the user submits a long-running ``Task`` with a number of retries (see ``Task``_ section for how to specify retries) in an interactive session, but realizes there has been a typo.  The user can then abort the ``Task``, preventing certain failures from cluttering up the queue.  It can also be used for parallel search-type problems, where only one ``Task`` will give the solution, so once the user find the solution, the user would want to abort all remaining Tasks to prevent wasted work.
+ * ``tc.spin()``
+    ``spin`` simply triggers the scheduler in the ``TaskControler``.  Under most normal circumstances, this will do nothing.  The primary known usage case involves the ``Task`` dependency (see `Dependencies`_).  The dependency is a function of an Engine's ``properties``, but changing the ``properties`` via the ``MutliEngineClient`` does not trigger a reschedule event.  The main example case for this requires the following event sequence:
+     * ``engine`` is available, ``Task`` is submitted, but ``engine`` does not have ``Task``'s dependencies.
+     * ``engine`` gets necessary dependencies while no new Tasks are submitted or completed.
+     * now ``engine`` can run ``Task``, but a ``Task`` event is required for the ``TaskControler`` to try scheduling ``Task`` again.
+     
+    ``spin`` is just an empty ping method to ensure that the Controller has scheduled all available Tasks, and should not be needed under most normal circumstances.
+
+That covers the ``TaskClient``, a simple interface to the cluster.  With this, the user can submit jobs (and abort if necessary), request their results, synchronize on arbitrary subsets of jobs.
+
+.. _task: The Task Object
+
+The Task Object
+===============
+
+The ``Task`` is the basic object for describing a job.  It can be used in a very simple manner, where the user just specifies a command string to be executed as the ``Task``.  The usage of this first argument is exactly the same as the ``execute`` method of the ``MultiEngine`` (in fact, ``execute`` is called to run the code)::
+
+    In [1]: t = client.Task("a = str(id)")
+    
+This ``Task`` would run, and store the string representation of the ``id`` element in ``a`` in each worker's namespace, but it is fairly useless because the user does not know anything about the state of the ``worker`` on which it ran at the time of retrieving results.  It is important that each ``Task`` not expect the state of the ``worker`` to persist after the ``Task`` is completed.  
+There are many different situations for using ``Task`` Farming, and the ``Task`` object has many attributes for use in customizing the ``Task`` behavior.  All of a ``Task``'s attributes may be specified in the constructor, through keyword arguments, or after ``Task`` construction through attribute assignment.
+
+Data Attributes
+***************
+It is likely that the user may want to move data around before or after executing the ``Task``.  We provide methods of sending data to initialize the worker's namespace, and specifying what data to bring back as the ``Task``'s results.
+
+ * pull = []
+    The obvious case is as above, where ``t`` would execute and store the result of ``myfunc`` in ``a``, it is likely that the user would want to bring ``a`` back to their namespace.  This is done through the ``pull`` attribute.  ``pull`` can be a string or list of strings, and it specifies the names of variables to be retrieved.  The ``TaskResult`` object retrieved by ``get_task_result`` will have a dictionary of keys and values, and the ``Task``'s ``pull`` attribute determines what goes into it::
+        
+        In [2]: t = client.Task("a = str(id)", pull = "a")
+        
+        In [3]: t = client.Task("a = str(id)", pull = ["a", "id"])
+        
+ * push = {}
+    A user might also want to initialize some data into the namespace before the code part of the ``Task`` is run.  Enter ``push``.  ``push`` is a dictionary of key/value pairs to be loaded from the user's namespace into the worker's immediately before execution::
+
+        In [4]: t = client.Task("a = f(submitted)", push=dict(submitted=time.time()), pull="a")
+
+push and pull result directly in calling an ``engine``'s ``push`` and ``pull`` methods before and after ``Task`` execution respectively, and thus their api is the same.
+
+Namespace Cleaning
+******************
+When a user is running a large number of Tasks, it is likely that the namespace of the worker's could become cluttered.  Some Tasks might be sensitive to clutter, while others might be known to cause namespace pollution.  For these reasons, Tasks have two boolean attributes for cleaning up the namespace.
+
+ * ``clear_after``
+    if clear_after is specified ``True``, the worker on which the ``Task`` was run will be reset (via ``engine.reset``) upon completion of the ``Task``.  This can be useful for both Tasks that produce clutter or Tasks whose intermediate data one might wish to be kept private::
+    
+        In [5]: t = client.Task("a = range(1e10)", pull = "a",clear_after=True)
+        
+    
+ * ``clear_before``
+    as one might guess, clear_before is identical to ``clear_after``, but it takes place before the ``Task`` is run.  This ensures that the ``Task`` runs on a fresh worker::
+
+        In [6]: t = client.Task("a = globals()", pull = "a",clear_before=True)
+
+Of course, a user can both at the same time, ensuring that all workers are clear except when they are currently running a job.  Both of these default to ``False``.
+
+Fault Tolerance
+***************
+It is possible that Tasks might fail, and there are a variety of reasons this could happen.  One might be that the worker it was running on disconnected, and there was nothing wrong with the ``Task`` itself.  With the fault tolerance attributes of the ``Task``, the user can specify how many times to resubmit the ``Task``, and what to do if it never succeeds.
+
+ * ``retries``
+    ``retries`` is an integer, specifying the number of times a ``Task`` is to be retried.  It defaults to zero.  It is often a good idea for this number to be 1 or 2, to protect the ``Task`` from disconnecting engines, but not a large number.  If a ``Task`` is failing 100 times, there is probably something wrong with the ``Task``.  The canonical bad example:
+    
+        In [7]: t = client.Task("os.kill(os.getpid(), 9)", retries=99)
+        
+    This would actually take down 100 workers.
+    
+ * ``recovery_task``
+    ``recovery_task`` is another ``Task`` object, to be run in the event of the original ``Task`` still failing after running out of retries.  Since ``recovery_task`` is another ``Task`` object, it can have its own ``recovery_task``.  The chain of Tasks is limitless, except loops are not allowed (that would be bad!).
+
+Dependencies
+************
+Dependencies are the most powerful part of the ``Task`` farming system, because it allows the user to do some classification of the workers, and guide the ``Task`` distribution without meddling with the controller directly.  It makes use of two objects - the ``Task``'s ``depend`` attribute, and the engine's ``properties``.  See the `MultiEngine`_ reference for how to use engine properties.  The engine properties api exists for extending IPython, allowing conditional execution and new controllers that make decisions based on properties of its engines.  Currently the ``Task`` dependency is the only internal use of the properties api.
+
+.. _MultiEngine: ./parallel_multiengine
+
+The ``depend`` attribute of a ``Task`` must be a function of exactly one argument, the worker's properties dictionary, and it should return ``True`` if the ``Task`` should be allowed to run on the worker and ``False`` if not.  The usage in the controller is fault tolerant, so exceptions raised by ``Task.depend`` will be ignored and functionally equivalent to always returning ``False``.  Tasks`` with invalid ``depend`` functions will never be assigned to a worker::
+
+    In [8]: def dep(properties):
+        ...     return properties["RAM"] > 2**32 # have at least 4GB
+    In [9]: t = client.Task("a = bigfunc()", depend=dep)
+    
+It is important to note that assignment of values to the properties dict is done entirely by the user, either locally (in the engine) using the EngineAPI, or remotely, through the ``MultiEngineClient``'s get/set_properties methods.
+
+
+
+
+
+    

IPython/config/api.py

@@ -1,99 +1,104 b''
 # encoding: utf-8
 
 """This is the official entry point to IPython's configuration system.  """
 
 __docformat__ = "restructuredtext en"
 
 #-------------------------------------------------------------------------------
 #  Copyright (C) 2008  The IPython Development Team
 #
 #  Distributed under the terms of the BSD License.  The full license is in
 #  the file COPYING, distributed as part of this software.
 #-------------------------------------------------------------------------------
 
 #-------------------------------------------------------------------------------
 # Imports
 #-------------------------------------------------------------------------------
 
 import os
 from IPython.config.cutils import get_home_dir, get_ipython_dir
 from IPython.external.configobj import ConfigObj
 
+# Traitlets config imports
+from IPython.config import traitlets
+from IPython.config.config import *
+from traitlets import *
+
 class ConfigObjManager(object):
     
     def __init__(self, configObj, filename):
         self.current = configObj
         self.current.indent_type = '    '
         self.filename = filename
         # self.write_default_config_file()
         
     def get_config_obj(self):
         return self.current
     
     def update_config_obj(self, newConfig):
         self.current.merge(newConfig)
         
     def update_config_obj_from_file(self, filename):
         newConfig = ConfigObj(filename, file_error=False)
         self.current.merge(newConfig)
         
     def update_config_obj_from_default_file(self, ipythondir=None):
         fname = self.resolve_file_path(self.filename, ipythondir)
         self.update_config_obj_from_file(fname)
 
     def write_config_obj_to_file(self, filename):
         f = open(filename, 'w')
         self.current.write(f)
         f.close()
 
     def write_default_config_file(self):
         ipdir = get_ipython_dir()
         fname = ipdir + '/' + self.filename
         if not os.path.isfile(fname):
             print "Writing the configuration file to: " + fname
             self.write_config_obj_to_file(fname)
     
     def _import(self, key):
         package = '.'.join(key.split('.')[0:-1])
         obj = key.split('.')[-1]
         execString = 'from %s import %s' % (package, obj)
         exec execString
         exec 'temp = %s' % obj 
         return temp
 
     def resolve_file_path(self, filename, ipythondir = None):
         """Resolve filenames into absolute paths.
 
         This function looks in the following directories in order:
 
         1.  In the current working directory or by absolute path with ~ expanded
         2.  In ipythondir if that is set
         3.  In the IPYTHONDIR environment variable if it exists
         4.  In the ~/.ipython directory
 
         Note: The IPYTHONDIR is also used by the trunk version of IPython so
                changing it will also affect it was well.
         """
 
         # In cwd or by absolute path with ~ expanded
         trythis = os.path.expanduser(filename)
         if os.path.isfile(trythis):
             return trythis
 
         # In ipythondir if it is set
         if ipythondir is not None:
             trythis = ipythondir + '/' + filename
             if os.path.isfile(trythis):
                 return trythis        
 
         trythis = get_ipython_dir() + '/' + filename
         if os.path.isfile(trythis):
             return trythis
 
         return None
 
 
     
     
 
     

MANIFEST.in

@@ -1,36 +1,31 b''
 include README_Windows.txt
 include win32_manual_post_install.py
 include ipython.py
 
 graft scripts
 
 graft setupext
 
 graft IPython/UserConfig
 
 graft IPython/kernel
 graft IPython/config
 graft IPython/testing
 graft IPython/tools
 
-graft doc
-exclude doc/\#*
-exclude doc/*.1
-exclude doc/ChangeLog.*
-exclude doc/update_version.sh
+graft docs
+exclude docs/\#*
+exclude docs/man/*.1
+exclude docs/ChangeLog.*
 
 # There seems to be no way of excluding whole subdirectories, other than
 # manually excluding all their subdirs.  distutils really is horrible...
-exclude doc/attic/*
-exclude doc/build/doctrees/*
-exclude doc/build/html/_sources/*
-exclude doc/build/html/_static/*
-exclude doc/build/html/*
-exclude doc/build/latex/*
+exclude docs/attic/*
+exclude docs/build/*
 
 global-exclude *~
 global-exclude *.flc
 global-exclude *.pyc
 global-exclude .dircopy.log
 global-exclude .svn
 global-exclude .bzr

docs/source/conf.py

@@ -1,132 +1,161 b''
 # -*- coding: utf-8 -*-
 #
 # IPython documentation build configuration file, created by
-# sphinx-quickstart.py on Sat Mar 29 15:36:13 2008.
+# sphinx-quickstart on Thu May  8 16:45:02 2008.
 #
 # This file is execfile()d with the current directory set to its containing dir.
 #
 # The contents of this file are pickled, so don't put values in the namespace
 # that aren't pickleable (module imports are okay, they're removed automatically).
 #
 # All configuration values have a default value; values that are commented out
 # serve to show the default value.
 
-import sys
+import sys, os
 
-# If your extensions are in another directory, add it here.
-#sys.path.append('some/directory')
+# If your extensions are in another directory, add it here. If the directory
+# is relative to the documentation root, use os.path.abspath to make it
+# absolute, like shown here.
+#sys.path.append(os.path.abspath('some/directory'))
 
 # General configuration
 # ---------------------
 
 # Add any Sphinx extension module names here, as strings. They can be extensions
-# coming with Sphinx (named 'sphinx.addons.*') or your custom ones.
+# coming with Sphinx (named 'sphinx.ext.*') or your custom ones.
 #extensions = []
 
 # Add any paths that contain templates here, relative to this directory.
 templates_path = ['_templates']
 
 # The suffix of source filenames.
-source_suffix = '.rst'
+source_suffix = '.txt'
 
 # The master toctree document.
-master_doc = 'ipython'
+master_doc = 'index'
 
 # General substitutions.
 project = 'IPython'
-copyright = '2008, Fernando Perez'
+copyright = '2008, The IPython Development Team'
 
 # The default replacements for |version| and |release|, also used in various
 # other places throughout the built documents.
 #
 # The short X.Y version.
-version = '0.8.3'
+version = '0.9'
 # The full version, including alpha/beta/rc tags.
-release = '0.8.3'
+release = '0.9'
 
 # There are two options for replacing |today|: either, you set today to some
 # non-false value, then it is used:
 #today = ''
 # Else, today_fmt is used as the format for a strftime call.
 today_fmt = '%B %d, %Y'
 
 # List of documents that shouldn't be included in the build.
 #unused_docs = []
 
+# List of directories, relative to source directories, that shouldn't be searched
+# for source files.
+#exclude_dirs = []
+
 # If true, '()' will be appended to :func: etc. cross-reference text.
 #add_function_parentheses = True
 
 # If true, the current module name will be prepended to all description
 # unit titles (such as .. function::).
 #add_module_names = True
 
 # If true, sectionauthor and moduleauthor directives will be shown in the
 # output. They are ignored by default.
 #show_authors = False
 
 # The name of the Pygments (syntax highlighting) style to use.
 pygments_style = 'sphinx'
 
 
 # Options for HTML output
 # -----------------------
 
 # The style sheet to use for HTML and HTML Help pages. A file of that name
 # must exist either in Sphinx' static/ path, or in one of the custom paths
 # given in html_static_path.
 html_style = 'default.css'
 
+# The name for this set of Sphinx documents.  If None, it defaults to
+# "<project> v<release> documentation".
+#html_title = None
+
+# The name of an image file (within the static path) to place at the top of
+# the sidebar.
+#html_logo = None
+
 # Add any paths that contain custom static files (such as style sheets) here,
 # relative to this directory. They are copied after the builtin static files,
 # so a file named "default.css" will overwrite the builtin "default.css".
 html_static_path = ['_static']
 
 # If not '', a 'Last updated on:' timestamp is inserted at every page bottom,
 # using the given strftime format.
 html_last_updated_fmt = '%b %d, %Y'
 
 # If true, SmartyPants will be used to convert quotes and dashes to
 # typographically correct entities.
 #html_use_smartypants = True
 
-# Content template for the index page.
-#html_index = ''
-
 # Custom sidebar templates, maps document names to template names.
 #html_sidebars = {}
 
 # Additional templates that should be rendered to pages, maps page names to
 # template names.
 #html_additional_pages = {}
 
 # If false, no module index is generated.
 #html_use_modindex = True
 
 # If true, the reST sources are included in the HTML build as _sources/<name>.
 #html_copy_source = True
 
+# If true, an OpenSearch description file will be output, and all pages will
+# contain a <link> tag referring to it.  The value of this option must be the
+# base URL from which the finished HTML is served.
+#html_use_opensearch = ''
+
+# If nonempty, this is the file name suffix for HTML files (e.g. ".xhtml").
+#html_file_suffix = ''
+
 # Output file base name for HTML help builder.
 htmlhelp_basename = 'IPythondoc'
 
 
 # Options for LaTeX output
 # ------------------------
 
 # The paper size ('letter' or 'a4').
-latex_paper_size = 'a4'
+latex_paper_size = 'letter'
 
 # The font size ('10pt', '11pt' or '12pt').
 latex_font_size = '10pt'
 
 # Grouping the document tree into LaTeX files. List of tuples
 # (source start file, target name, title, author, document class [howto/manual]).
-latex_documents = [('ipython','ipython.tex','IPython Documentation','Fernando Perez (and contributors)','manual')]
+latex_documents = [
+  ('index', 'IPython.tex', 'IPython Documentation', 'The IPython Development Team', 'manual'),
+]
+
+# The name of an image file (relative to this directory) to place at the top of
+# the title page.
+#latex_logo = None
+
+# For "manual" documents, if this is true, then toplevel headings are parts,
+# not chapters.
+#latex_use_parts = False
 
 # Additional stuff for the LaTeX preamble.
 #latex_preamble = ''
 
 # Documents to append as an appendix to all manuals.
 #latex_appendices = []
 
 # If false, no module index is generated.
 #latex_use_modindex = True

setup.py

@@ -1,169 +1,174 b''
 #!/usr/bin/env python
 # -*- coding: utf-8 -*-
 """Setup script for IPython.
 
 Under Posix environments it works like a typical setup.py script. 
 Under Windows, the command sdist is not supported, since IPython 
 requires utilities which are not available under Windows."""
 
 #-------------------------------------------------------------------------------
 #  Copyright (C) 2008  The IPython Development Team
 #
 #  Distributed under the terms of the BSD License.  The full license is in
 #  the file COPYING, distributed as part of this software.
 #-------------------------------------------------------------------------------
 
 #-------------------------------------------------------------------------------
 # Imports
 #-------------------------------------------------------------------------------
 
 # Stdlib imports
 import os
 import sys
 
 from glob import glob
 
 # BEFORE importing distutils, remove MANIFEST. distutils doesn't properly
 # update it when the contents of directories change.
 if os.path.exists('MANIFEST'): os.remove('MANIFEST')
 
 from distutils.core import setup
 
 # Local imports
 from IPython.genutils import target_update
 
 from setupbase import (
     setup_args, 
     find_packages, 
     find_package_data, 
     find_scripts,
     find_data_files,
     check_for_dependencies
 )
 
 isfile = os.path.isfile
 
 #-------------------------------------------------------------------------------
 # Handle OS specific things
 #-------------------------------------------------------------------------------
 
 if os.name == 'posix':
     os_name = 'posix'
 elif os.name in ['nt','dos']:
     os_name = 'windows'
 else:
     print 'Unsupported operating system:',os.name
     sys.exit(1)
 
 # Under Windows, 'sdist' has not been supported.  Now that the docs build with
 # Sphinx it might work, but let's not turn it on until someone confirms that it
 # actually works.
 if os_name == 'windows' and 'sdist' in sys.argv:
     print 'The sdist command is not available under Windows.  Exiting.'
     sys.exit(1)
 
 #-------------------------------------------------------------------------------
 # Things related to the IPython documentation
 #-------------------------------------------------------------------------------
 
 # update the manuals when building a source dist
 if len(sys.argv) >= 2 and sys.argv[1] in ('sdist','bdist_rpm'):
     import textwrap
 
     # List of things to be updated. Each entry is a triplet of args for
     # target_update()
     to_update = [
                   # FIXME - Disabled for now: we need to redo an automatic way
                   # of generating the magic info inside the rst.                
                   #('doc/magic.tex',
                   #['IPython/Magic.py'],
                   #"cd doc && ./update_magic.sh" ),
                  
                  ('doc/ipython.1.gz',
                   ['doc/ipython.1'],
                   "cd doc && gzip -9c ipython.1 > ipython.1.gz"),
 
                  ('doc/pycolor.1.gz',
                   ['doc/pycolor.1'],
                   "cd doc && gzip -9c pycolor.1 > pycolor.1.gz"),
                  ]
 
+    # Only build the docs is sphinx is present
     try:
         import sphinx
     except ImportError:
         pass
     else:
+        pass
+        # BEG: This is disabled as I am not sure what to depend on.
+        # I actually don't think we should be automatically building
+        # the docs for people.
         # The do_sphinx scripts builds html and pdf, so just one
         # target is enough to cover all manual generation
-        to_update.append(
-            ('doc/manual/ipython.pdf',
-            ['IPython/Release.py','doc/source/ipython.rst'],
-            "cd doc && python do_sphinx.py")
-        )
+        # to_update.append(
+        #     ('doc/manual/ipython.pdf',
+        #     ['IPython/Release.py','doc/source/ipython.rst'],
+        #     "cd docs && python do_sphinx.py")
+        # )
     [ target_update(*t) for t in to_update ]
 
 #---------------------------------------------------------------------------
 # Find all the packages, package data, scripts and data_files
 #---------------------------------------------------------------------------
 
 packages = find_packages()
 package_data = find_package_data()
 scripts = find_scripts()
 data_files = find_data_files()
 
 #---------------------------------------------------------------------------
 # Handle dependencies and setuptools specific things
 #---------------------------------------------------------------------------
 
 # This dict is used for passing extra arguments that are setuptools 
 # specific to setup
 setuptools_extra_args = {}
 
 if 'setuptools' in sys.modules:
     setuptools_extra_args['zip_safe'] = False
     setuptools_extra_args['entry_points'] = {
         'console_scripts': [
             'ipython = IPython.ipapi:launch_new_instance',
             'pycolor = IPython.PyColorize:main',
             'ipcontroller = IPython.kernel.scripts.ipcontroller:main',
             'ipengine = IPython.kernel.scripts.ipengine:main',
             'ipcluster = IPython.kernel.scripts.ipcluster:main'
         ]
     }
     setup_args["extras_require"] = dict(
         kernel = [
             "zope.interface>=3.4.1",
             "Twisted>=8.0.1",
             "foolscap>=0.2.6"        
         ],
         doc=['Sphinx>=0.3','pygments'],
         test='nose>=0.10.1',
         security=["pyOpenSSL>=0.6"]
     )
     # Allow setuptools to handle the scripts
     scripts = []
     # eggs will lack docs, examples
     data_files = []
 else:
     # package_data of setuptools was introduced to distutils in 2.4
     cfgfiles = filter(isfile, glob('IPython/UserConfig/*'))
     if sys.version_info < (2,4):
         data_files.append(('lib', 'IPython/UserConfig', cfgfiles))
     # If we are running without setuptools, call this function which will
     # check for dependencies an inform the user what is needed.  This is
     # just to make life easy for users.
     check_for_dependencies()
 
 
 #---------------------------------------------------------------------------
 # Do the actual setup now
 #---------------------------------------------------------------------------
 
 setup_args['packages'] = packages
 setup_args['package_data'] = package_data
 setup_args['scripts'] = scripts
 setup_args['data_files'] = data_files
 setup_args.update(setuptools_extra_args)
 
 if __name__ == '__main__':
     setup(**setup_args)

setupbase.py

@@ -1,230 +1,226 b''
 # encoding: utf-8
 
 """
 This module defines the things that are used in setup.py for building IPython
 
 This includes:
 
     * The basic arguments to setup
     * Functions for finding things like packages, package data, etc.
     * A function for checking dependencies.
 """
 
 __docformat__ = "restructuredtext en"
 
 #-------------------------------------------------------------------------------
 #  Copyright (C) 2008  The IPython Development Team
 #
 #  Distributed under the terms of the BSD License.  The full license is in
 #  the file COPYING, distributed as part of this software.
 #-------------------------------------------------------------------------------
 
 #-------------------------------------------------------------------------------
 # Imports
 #-------------------------------------------------------------------------------
 
 import os, sys
 
 from glob import glob
 
 from setupext import install_data_ext
 
 #-------------------------------------------------------------------------------
 # Useful globals and utility functions
 #-------------------------------------------------------------------------------
 
 # A few handy globals
 isfile = os.path.isfile
 pjoin = os.path.join
 
 def oscmd(s):
     print ">", s
     os.system(s)
 
 # A little utility we'll need below, since glob() does NOT allow you to do
 # exclusion on multiple endings!
 def file_doesnt_endwith(test,endings):
     """Return true if test is a file and its name does NOT end with any
     of the strings listed in endings."""
     if not isfile(test):
         return False
     for e in endings:
         if test.endswith(e):
             return False
     return True
 
 #---------------------------------------------------------------------------
 # Basic project information
 #---------------------------------------------------------------------------
 
 # Release.py contains version, authors, license, url, keywords, etc.
 execfile(pjoin('IPython','Release.py'))
 
 # Create a dict with the basic information
 # This dict is eventually passed to setup after additional keys are added.
 setup_args = dict(
       name             = name,
       version          = version,
       description      = description,
       long_description = long_description,
       author           = author,
       author_email     = author_email,
       url              = url,
       download_url     = download_url,
       license          = license,
       platforms        = platforms,
       keywords         = keywords,
       cmdclass         = {'install_data': install_data_ext},
       )
 
 
 #---------------------------------------------------------------------------
 # Find packages
 #---------------------------------------------------------------------------
 
 def add_package(packages, pname, config=False, tests=False, scripts=False, others=None):
     """
     Add a package to the list of packages, including certain subpackages.
     """
     packages.append('.'.join(['IPython',pname]))
     if config:
         packages.append('.'.join(['IPython',pname,'config']))
     if tests:
         packages.append('.'.join(['IPython',pname,'tests']))
     if scripts:
         packages.append('.'.join(['IPython',pname,'scripts']))
     if others is not None:
         for o in others:
             packages.append('.'.join(['IPython',pname,o]))
 
 def find_packages():
     """
     Find all of IPython's packages.
     """
     packages = ['IPython']
     add_package(packages, 'config', tests=True)
     add_package(packages , 'Extensions')
     add_package(packages, 'external')
     add_package(packages, 'gui')
     add_package(packages, 'gui.wx')
     add_package(packages, 'kernel', config=True, tests=True, scripts=True)
     add_package(packages, 'kernel.core', config=True, tests=True)
     add_package(packages, 'testing', tests=True)
     add_package(packages, 'tools', tests=True)
     add_package(packages, 'UserConfig')
     return packages
 
 #---------------------------------------------------------------------------
 # Find package data
 #---------------------------------------------------------------------------
 
 def find_package_data():
     """
     Find IPython's package_data.
     """
     # This is not enough for these things to appear in an sdist.
     # We need to muck with the MANIFEST to get this to work
     package_data = {'IPython.UserConfig' : ['*'] }
     return package_data
 
 
 #---------------------------------------------------------------------------
 # Find data files
 #---------------------------------------------------------------------------
 
 def find_data_files():
     """
     Find IPython's data_files.
     """
     
     # I can't find how to make distutils create a nested dir. structure, so
     # in the meantime do it manually. Butt ugly.
     # Note that http://www.redbrick.dcu.ie/~noel/distutils.html, ex. 2/3, contain
     # information on how to do this more cleanly once python 2.4 can be assumed.
     # Thanks to Noel for the tip.
     docdirbase  = 'share/doc/ipython'
     manpagebase = 'share/man/man1'
 
     # We only need to exclude from this things NOT already excluded in the
     # MANIFEST.in file.
     exclude     = ('.sh','.1.gz')
-    docfiles    = filter(lambda f:file_doesnt_endwith(f,exclude),glob('doc/*'))
-    examfiles   = filter(isfile, glob('doc/examples/*.py'))
-    manfiles    = filter(isfile, glob('doc/manual/*'))
-    manstatic   = filter(isfile, glob('doc/manual/_static/*'))
-    manpages    = filter(isfile, glob('doc/*.1.gz'))
-    scriptfiles = filter(isfile, ['scripts/ipython','scripts/pycolor',
-                                  'scripts/irunner'])
+    # We need to figure out how we want to package all of our rst docs?
+    # docfiles    = filter(lambda f:file_doesnt_endwith(f,exclude),glob('docs/*'))
+    examfiles   = filter(isfile, glob('docs/examples/core/*.py'))
+    examfiles.append(filter(isfile, glob('docs/examples/kernel/*.py')))
+    manpages    = filter(isfile, glob('docs/man/*.1.gz'))
     igridhelpfiles = filter(isfile, glob('IPython/Extensions/igrid_help.*'))
     
-    data_files = [('data', docdirbase, docfiles),
+    data_files = [#('data', docdirbase, docfiles),
                  ('data', pjoin(docdirbase, 'examples'),examfiles),
-                 ('data', pjoin(docdirbase, 'manual'),manfiles),
-                 ('data', pjoin(docdirbase, 'manual/_static'),manstatic),
                  ('data', manpagebase, manpages),
                  ('data',pjoin(docdirbase, 'extensions'),igridhelpfiles),
                  ]
     return data_files
 
 #---------------------------------------------------------------------------
 # Find scripts
 #---------------------------------------------------------------------------
 
 def find_scripts():
     """
     Find IPython's scripts.
     """
     scripts = []
     scripts.append('IPython/kernel/scripts/ipengine')
     scripts.append('IPython/kernel/scripts/ipcontroller')
     scripts.append('IPython/kernel/scripts/ipcluster')
     scripts.append('scripts/ipython')
     scripts.append('scripts/pycolor')
     scripts.append('scripts/irunner')
     
     # Script to be run by the windows binary installer after the default setup
     # routine, to add shortcuts and similar windows-only things.  Windows
     # post-install scripts MUST reside in the scripts/ dir, otherwise distutils
     # doesn't find them.
     if 'bdist_wininst' in sys.argv:
         if len(sys.argv) > 2 and ('sdist' in sys.argv or 'bdist_rpm' in sys.argv):
             print >> sys.stderr,"ERROR: bdist_wininst must be run alone. Exiting."
             sys.exit(1)
         scripts.append('scripts/ipython_win_post_install.py')
     
     return scripts
 
 #---------------------------------------------------------------------------
 # Find scripts
 #---------------------------------------------------------------------------
 
 def check_for_dependencies():
     """Check for IPython's dependencies.
     
     This function should NOT be called if running under setuptools!
     """
     from setupext.setupext import (
         print_line, print_raw, print_status, print_message,
         check_for_zopeinterface, check_for_twisted,
         check_for_foolscap, check_for_pyopenssl,
         check_for_sphinx, check_for_pygments,
         check_for_nose, check_for_pexpect
     )
     print_line()
     print_raw("BUILDING IPYTHON")
     print_status('python', sys.version)
     print_status('platform', sys.platform)
     if sys.platform == 'win32':
         print_status('Windows version', sys.getwindowsversion())
     
     print_raw("")
     print_raw("OPTIONAL DEPENDENCIES")
 
     check_for_zopeinterface()
     check_for_twisted()
     check_for_foolscap()
     check_for_pyopenssl()
     check_for_sphinx()
     check_for_pygments()
     check_for_nose()
     check_for_pexpect()
  No newline at end of file

IPython/config/sconfig.py

@@ -1,622 +0,0 b''
-# encoding: utf-8
-
-"""Mix of ConfigObj and Struct-like access.
-
-Provides:
-
-- Coupling a Struct object to a ConfigObj one, so that changes to the Traited
-  instance propagate back into the ConfigObj.
-
-- A declarative interface for describing configurations that automatically maps
-  to valid ConfigObj representations.
-
-- From these descriptions, valid .conf files can be auto-generated, with class
-  docstrings and traits information used for initial auto-documentation.
-
-- Hierarchical inclusion of files, so that a base config can be overridden only
-  in specific spots.
-
-
-Notes:
-
-The file creation policy is:
-
-1. Creating a SConfigManager(FooConfig,'missingfile.conf')  will work
-fine, and 'missingfile.conf' will be created empty.
-
-2. Creating SConfigManager(FooConfig,'OKfile.conf') where OKfile.conf has
-
-include = 'missingfile.conf'
-
-conks out with IOError.
-
-My rationale is that creating top-level empty files is a common and
-reasonable need, but that having invalid include statements should
-raise an error right away, so people know immediately that their files
-have gone stale.
-
-
-TODO:
-
-  - Turn the currently interactive tests into proper doc/unit tests.  Complete
-    docstrings. 
-
-  - Write the real ipython1 config system using this.  That one is more
-  complicated than either the MPL one or the fake 'ipythontest' that I wrote
-  here, and it requires solving the issue of declaring references to other
-  objects inside the config files.
-
-  - [Low priority] Write a custom TraitsUI view so that hierarchical
-  configurations provide nicer interactive editing.  The automatic system is
-  remarkably good, but for very complex configurations having a nicely
-  organized view would be nice.
-"""
-
-__docformat__ = "restructuredtext en"
-__license__ = 'BSD'
-
-#-------------------------------------------------------------------------------
-#  Copyright (C) 2008  The IPython Development Team
-#
-#  Distributed under the terms of the BSD License.  The full license is in
-#  the file COPYING, distributed as part of this software.
-#-------------------------------------------------------------------------------
-
-#-------------------------------------------------------------------------------
-# Imports
-#-------------------------------------------------------------------------------
-
-############################################################################
-# Stdlib imports
-############################################################################
-from cStringIO import StringIO
-from inspect import isclass
-
-import os
-import textwrap
-
-############################################################################
-# External imports
-############################################################################
-
-from IPython.external import configobj
-
-############################################################################
-# Utility functions
-############################################################################
-
-def get_split_ind(seq, N):
-    """seq is a list of words.  Return the index into seq such that
-    len(' '.join(seq[:ind])<=N
-    """
-
-    sLen = 0
-    # todo: use Alex's xrange pattern from the cbook for efficiency
-    for (word, ind) in zip(seq, range(len(seq))):
-        sLen += len(word) + 1  # +1 to account for the len(' ')
-        if sLen>=N: return ind
-    return len(seq)
-
-def wrap(prefix, text, cols, max_lines=6):
-    """'wrap text with prefix at length cols"""
-    pad = ' '*len(prefix.expandtabs())
-    available = cols - len(pad)
-
-    seq = text.split(' ')
-    Nseq = len(seq)
-    ind = 0
-    lines = []
-    while ind<Nseq:
-        lastInd = ind
-        ind += get_split_ind(seq[ind:], available)
-        lines.append(seq[lastInd:ind])
-
-    num_lines = len(lines)
-    abbr_end = max_lines // 2
-    abbr_start = max_lines - abbr_end
-    lines_skipped = False
-    for i in range(num_lines):
-        if i == 0:
-            # add the prefix to the first line, pad with spaces otherwise
-            ret = prefix + ' '.join(lines[i]) + '\n'
-        elif i < abbr_start or i > num_lines-abbr_end-1:
-            ret += pad + ' '.join(lines[i]) + '\n'
-        else:
-            if not lines_skipped:
-                lines_skipped = True
-                ret += ' <...snipped %d lines...> \n' % (num_lines-max_lines)
-#    for line in lines[1:]:
-#        ret += pad + ' '.join(line) + '\n'
-    return ret[:-1]
-
-def dedent(txt):
-    """A modified version of textwrap.dedent, specialized for docstrings.
-
-    This version doesn't get confused by the first line of text having
-    inconsistent indentation from the rest, which happens a lot in docstrings.
-
-    :Examples:
-
-        >>> s = '''
-        ... First line.
-        ... More...
-        ... End'''
-
-        >>> print dedent(s)
-        First line.
-        More...
-        End
-
-        >>> s = '''First line
-        ... More...
-        ... End'''
-
-        >>> print dedent(s)
-        First line
-        More...
-        End
-    """
-    out = [textwrap.dedent(t) for t in txt.split('\n',1)
-           if t and not t.isspace()]
-    return '\n'.join(out)
-
-
-def comment(strng,indent=''):
-    """return an input string, commented out"""
-    template = indent + '# %s'
-    lines = [template % s for s in strng.splitlines(True)]
-    return ''.join(lines)
-
-
-def configobj2str(cobj):
-    """Dump a Configobj instance to a string."""
-    outstr = StringIO()
-    cobj.write(outstr)
-    return outstr.getvalue()
-
-def get_config_filename(conf):
-    """Find the filename attribute of a ConfigObj given a sub-section object.
-    """
-    depth = conf.depth
-    for d in range(depth):
-        conf = conf.parent
-    return conf.filename
-
-def sconf2File(sconf,fname,force=False):
-    """Write a SConfig instance to a given filename.
-
-    :Keywords:
-
-      force : bool (False)
-        If true, force writing even if the file exists.
-      """
-    
-    if os.path.isfile(fname) and not force:
-        raise IOError("File %s already exists, use force=True to overwrite" %
-                      fname)
-
-    txt = repr(sconf)
-
-    fobj = open(fname,'w')
-    fobj.write(txt)
-    fobj.close()
-
-def filter_scalars(sc):
-    """ input sc MUST be sorted!!!"""
-    scalars = []
-    maxi = len(sc)-1
-    i = 0
-    while i<len(sc):
-        t = sc[i]
-        if t.startswith('_sconf_'):
-            # Skip altogether private _sconf_ attributes, so we actually issue
-            # a 'continue' call to avoid the append(t) below
-            i += 1
-            continue
-        scalars.append(t)
-        i += 1
-
-    return scalars
-
-
-def get_scalars(obj):
-    """Return scalars for a Sconf class object"""
-
-    skip = set(['trait_added','trait_modified'])
-    sc = [k for k in obj.__dict__ if not k.startswith('_')]
-    sc.sort()
-    return filter_scalars(sc)
-
-
-def get_sections(obj,sectionClass):
-    """Return sections for a Sconf class object"""
-    return [(n,v) for (n,v) in obj.__dict__.iteritems()
-            if isclass(v) and issubclass(v,sectionClass)]
-
-
-def get_instance_sections(inst):
-    """Return sections for a Sconf instance"""
-    sections = [(k,v) for k,v in inst.__dict__.iteritems()
-                if isinstance(v,SConfig) and not k=='_sconf_parent']
-    # Sort the sections by name
-    sections.sort(key=lambda x:x[0])
-    return sections
-
-
-def partition_instance(obj):
-    """Return scalars,sections for a given Sconf instance.
-    """
-    scnames = []
-    sections = []
-    for k,v in obj.__dict__.iteritems():
-        if isinstance(v,SConfig):
-            if not k=='_sconf_parent':
-                sections.append((k,v))
-        else:
-            scnames.append(k)
-
-    # Sort the sections by name
-    sections.sort(key=lambda x:x[0])
-
-    # Sort the scalar names, filter them and then extract the actual objects
-    scnames.sort()
-    scnames = filter_scalars(scnames)
-    scalars = [(s,obj.__dict__[s]) for s in scnames]
-    
-    return scalars, sections
-
-
-def mk_ConfigObj(filename,mk_missing_file=True):
-    """Return a ConfigObj instance with our hardcoded conventions.
-
-    Use a simple factory that wraps our option choices for using ConfigObj.
-    I'm hard-wiring certain choices here, so we'll always use instances with
-    THESE choices.
-
-    :Parameters:
-
-      filename : string
-        File to read from.
-
-    :Keywords:
-      makeMissingFile : bool (True)
-        If true, the file named by `filename` may not yet exist and it will be
-        automatically created (empty).  Else, if `filename` doesn't exist, an
-        IOError will be raised.
-    """
-
-    if mk_missing_file:
-        create_empty = True
-        file_error = False
-    else:
-        create_empty = False
-        file_error = True
-        
-    return configobj.ConfigObj(filename,
-                               create_empty=create_empty,
-                               file_error=file_error,
-                               indent_type='    ',
-                               interpolation='Template',
-                               unrepr=True)
-
-nullConf = mk_ConfigObj(None)
-
-
-class RecursiveConfigObj(object):
-    """Object-oriented interface for recursive ConfigObj constructions."""
-
-    def __init__(self,filename):
-        """Return a ConfigObj instance with our hardcoded conventions.
-
-        Use a simple factory that wraps our option choices for using ConfigObj.
-        I'm hard-wiring certain choices here, so we'll always use instances with
-        THESE choices.
-
-        :Parameters:
-
-          filename : string
-            File to read from.
-        """
-
-        self.comp = []
-        self.conf = self._load(filename)
-
-    def _load(self,filename,mk_missing_file=True):
-        conf = mk_ConfigObj(filename,mk_missing_file)
-
-        # Do recursive loading. We only allow (or at least honor) the include
-        # tag at the top-level.  For now, we drop the inclusion information so
-        # that there are no restrictions on which levels of the SConfig
-        # hierarchy can use include statements.  But this means that
-
-        # if bookkeeping of each separate component of the recursive
-        # construction was requested, make a separate object for storage
-        # there, since we don't want that to be modified by the inclusion
-        # process.
-        self.comp.append(mk_ConfigObj(filename,mk_missing_file))
-
-        incfname = conf.pop('include',None)
-        if incfname is not None:
-            # Do recursive load.  We don't want user includes that point to
-            # missing files to fail silently, so in the recursion we disable
-            # auto-creation of missing files.
-            confinc = self._load(incfname,mk_missing_file=False)
-
-            # Update with self to get proper ordering (included files provide
-            # base data, current one overwrites)
-            confinc.update(conf)
-            # And do swap to return the updated structure
-            conf = confinc
-            # Set the filename to be the original file instead of the included
-            # one
-            conf.filename = filename
-        return conf
-        
-############################################################################
-# Main SConfig class and supporting exceptions
-############################################################################
-
-class SConfigError(Exception): pass
-
-class SConfigInvalidKeyError(SConfigError): pass
-
-class SConfig(object):
-    """A class representing configuration objects.
-
-    Note: this class should NOT have any traits itself, since the actual traits
-    will be declared by subclasses.  This class is meant to ONLY declare the
-    necessary initialization/validation methods.  """
-
-    # Any traits declared here are prefixed with _sconf_ so that our special
-    # formatting/analysis utilities can distinguish them from user traits and
-    # can avoid them.
-    
-    # Once created, the tree's hierarchy can NOT be modified
-    _sconf_parent = None
-
-    def __init__(self,config=None,parent=None,monitor=None):
-        """Makes an  SConfig object out of a ConfigObj instance
-        """
-
-        if config is None:
-            config = mk_ConfigObj(None)
-
-        # Validate the set of scalars ...
-        my_scalars = set(get_scalars(self))
-        cf_scalars = set(config.scalars)
-        invalid_scalars = cf_scalars - my_scalars
-        if invalid_scalars:
-            config_fname = get_config_filename(config)
-            m=("In config defined in file: %r\n"
-               "Error processing section: %s\n"
-               "These keys are invalid : %s\n"
-               "Valid key names        : %s\n"
-               % (config_fname,self.__class__.__name__,
-                  list(invalid_scalars),list(my_scalars)))
-            raise SConfigInvalidKeyError(m)
-
-        # ... and sections
-        section_items = get_sections(self.__class__,SConfig)
-        my_sections = set([n for n,v in section_items])
-        cf_sections = set(config.sections)
-        invalid_sections = cf_sections - my_sections
-        if invalid_sections:
-            config_fname = get_config_filename(config)
-            m = ("In config defined in file: %r\n"
-                 "Error processing section: %s\n"
-                 "These subsections are invalid : %s\n"
-                 "Valid subsection names        : %s\n"
-                 % (config_fname,self.__class__.__name__,
-                    list(invalid_sections),list(my_sections)))
-            raise SConfigInvalidKeyError(m)
-
-        self._sconf_parent = parent
-
-        # Now set the traits based on the config
-        for k in my_scalars:
-            setattr(self,k,config[k])
-
-        # And build subsections
-        for s,v in section_items:
-            sec_config = config.setdefault(s,{})
-            section = v(sec_config,self,monitor=monitor)
-
-            # We must use add_trait instead of setattr because we inherit from
-            # HasStrictTraits, but we need to then do a 'dummy' getattr call on
-            # self so the class trait propagates to the instance.
-            self.add_trait(s,section)
-            getattr(self,s)
-
-    def __repr__(self,depth=0):
-        """Dump a section to a string."""
-
-        indent = '    '*(depth)
-
-        top_name = self.__class__.__name__
-
-        if depth == 0:
-            label = '# %s - plaintext (in .conf format)\n' % top_name
-        else:
-            # Section titles are indented one level less than their contents in
-            # the ConfigObj write methods.
-            sec_indent = '    '*(depth-1)
-            label = '\n'+sec_indent+('[' * depth) + top_name + (']'*depth)
-
-        out = [label]
-
-        doc = self.__class__.__doc__
-        if doc is not None:
-            out.append(comment(dedent(doc),indent))
-
-        scalars, sections = partition_instance(self)
-
-        for s,v in scalars:
-            try:
-                info = self.__base_traits__[s].handler.info()
-                # Get a short version of info with lines of max. 78 chars, so
-                # that after commenting them out (with '# ') they are at most
-                # 80-chars long.
-                out.append(comment(wrap('',info.replace('\n', ' '),78-len(indent)),indent))
-            except (KeyError,AttributeError):
-                pass
-            out.append(indent+('%s = %r' % (s,v)))
-
-        for sname,sec in sections:
-            out.append(sec.__repr__(depth+1))
-
-        return '\n'.join(out)
-
-    def __str__(self):
-        return self.__class__.__name__
-
-
-##############################################################################
-# High-level class(es) and utilities for handling a coupled pair of SConfig and
-# ConfigObj instances.
-##############################################################################
-
-def path_to_root(obj):
-    """Find the path to the root of a nested SConfig instance."""
-    ob = obj
-    path = []
-    while ob._sconf_parent is not None:
-        path.append(ob.__class__.__name__)
-        ob = ob._sconf_parent
-    path.reverse()
-    return path
-
-
-def set_value(fconf,path,key,value):
-    """Set a value on a ConfigObj instance, arbitrarily deep."""
-    section = fconf
-    for sname in path:
-        section = section.setdefault(sname,{})
-    section[key] = value
-
-
-def fmonitor(fconf):
-    """Make a monitor for coupling SConfig instances to ConfigObj ones.
-
-    We must use a closure because Traits makes assumptions about the functions
-    used with on_trait_change() that prevent the use of a callable instance.
-    """
-    
-    def mon(obj,name,new):
-        #print 'OBJ:',obj  # dbg
-        #print 'NAM:',name # dbg
-        #print 'NEW:',new  # dbg
-        set_value(fconf,path_to_root(obj),name,new)
-        
-    return mon
-
-
-class SConfigManager(object):
-    """A simple object to manage and sync a SConfig and a ConfigObj pair.
-    """
-    
-    def __init__(self,configClass,configFilename,filePriority=True):
-        """Make a new SConfigManager.
-
-        :Parameters:
-        
-          configClass : class
-
-          configFilename : string
-            If the filename points to a non-existent file, it will be created
-            empty.  This is useful when creating a file form from an existing
-            configClass with the class defaults.
-
-
-        :Keywords:
-
-          filePriority : bool (True)
-
-            If true, at construction time the file object takes priority and
-            overwrites the contents of the config object.  Else, the data flow
-            is reversed and the file object will be overwritten with the
-            configClass defaults at write() time.
-        """
-
-        rconf = RecursiveConfigObj(configFilename)
-        # In a hierarchical object, the two following fconfs are *very*
-        # different.  In self.fconf, we'll keep the outer-most fconf associated
-        # directly to the original filename.  self.fconf_combined, instead,
-        # contains an object which has the combined effect of having merged all
-        # the called files in the recursive chain.
-        self.fconf = rconf.comp[0]
-        self.fconf_combined = rconf.conf
-
-        # Create a monitor to track and apply trait changes to the sconf
-        # instance over into the fconf one
-        monitor = fmonitor(self.fconf)
-        
-        if filePriority:
-            self.sconf = configClass(self.fconf_combined,monitor=monitor)
-        else:
-            # Push defaults onto file object
-            self.sconf = configClass(mk_ConfigObj(None),monitor=monitor)
-            self.fconfUpdate(self.fconf,self.sconf)
-
-    def fconfUpdate(self,fconf,sconf):
-        """Update the fconf object with the data from sconf"""
-
-        scalars, sections = partition_instance(sconf)
-
-        for s,v in scalars:
-            fconf[s] = v
-
-        for secname,sec in sections:
-            self.fconfUpdate(fconf.setdefault(secname,{}),sec)
-
-    def write(self,filename=None):
-        """Write out to disk.
-
-        This method writes out only to the top file in a hierarchical
-        configuration, which means that the class defaults and other values not
-        explicitly set in the top level file are NOT written out.
-
-        :Keywords:
-        
-          filename : string (None)
-            If given, the output is written to this file, otherwise the
-            .filename attribute of the top-level configuration object is used.
-        """
-        if filename is not None:
-            file_obj = open(filename,'w')
-            out = self.fconf.write(file_obj)
-            file_obj.close()
-            return out
-        else:
-            return self.fconf.write()
-
-    def writeAll(self,filename=None):
-        """Write out the entire configuration to disk.
-
-        This method, in contrast with write(), updates the .fconf_combined
-        object with the *entire* .sconf instance, and then writes it out to
-        disk.  This method is thus useful for generating files that have a
-        self-contained, non-hierarchical file.
-
-        :Keywords:
-        
-          filename : string (None)
-            If given, the output is written to this file, otherwise the
-            .filename attribute of the top-level configuration object is used.
-        """
-        if filename is not None:
-            file_obj = open(filename,'w')
-            self.fconfUpdate(self.fconf_combined,self.sconf)
-            out = self.fconf_combined.write(file_obj)
-            file_obj.close()
-            return out
-        else:
-            self.fconfUpdate(self.fconf_combined,self.sconf)
-            return self.fconf_combined.write()
-
-    def sconf_str(self):
-        return str(self.sconf)
-
-    def fconf_str(self):
-        return configobj2str(self.fconf)
-
-    __repr__ = __str__ = fconf_str

IPython/config/tests/sctst.py

@@ -1,37 +0,0 b''
-"""Little utilities for testing tconfig.
-
-This module is meant to be used via
-
-import sctst; reload(sctst)
-from sctst import *
-
-at the top of the actual test scripts, so that they all get the entire set of
-common test tools with minimal fuss.
-"""
-
-# Standard library imports
-import os
-import sys
-from pprint import pprint
-
-# Our own imports.
-
-from IPython.config import sconfig
-reload(sconfig)
-
-from sconfig import mkConfigObj, RecursiveConfigObj, SConfigManager, \
-     sconf2file
-
-# Simple utilities/classes for testing
-
-def cat(fname):
-    print '### FILENAME:',fname
-    print open(fname).read()
-
-
-class App(object):
-    """A trivial 'application' class to be initialized.
-    """
-    def __init__(self,config_class,config_filename):
-        self.rcman = SConfigManager(config_class,config_filename)
-        self.rc = self.rcman.sconf

IPython/config/tests/simple.conf

@@ -1,14 +0,0 b''
-# Toy example of a TConfig-based configuration description
-
-# This is the class declaration for the configuration:
-
-#  SimpleConfig
-#  Configuration for my application
-
-solver = "Iterative2"
-
-[Protocol]
-    # Specify the Protocol
-
-    ptype = "http2"
-    max_users = 4 

IPython/config/tests/simple.spec.conf

@@ -1,14 +0,0 b''
-# Toy example of a TConfig-based configuration description
-
-# This is the class declaration for the configuration:
-
-#  SimpleConfig
-#  Configuration for my application
-
-datafile = string(default='data.txt')
-solver = option('Direct','Iterative')
-
-[Protocol]
-    # Specify the Protocol
-    ptype = option('http','ftp','ssh')
-    max_users = integer(1,10)

IPython/config/tests/simpleconf.py

@@ -1,59 +0,0 b''
-"""Toy example of reading an SConf object."""
-
-from IPython.external.configobj import ConfigObj
-from IPython.external import configobj, validate
-
-
-from IPython.config import sconfig
-reload(sconfig)
-
-configspecfilename = 'simple.spec.conf'
-filename = 'simple.conf'
-
-print '*'*80
-configspec = ConfigObj(configspecfilename, encoding='UTF8',
-                       list_values=False)
-print sconfig.configobj2str(configspec)
-
-print '*'*80
-config = ConfigObj(filename, configspec=configspec,
-                   interpolation='Template',
-                   unrepr=True)
-print sconfig.configobj2str(config)
-vdt = validate.Validator()
-test = config.validate(vdt,preserve_errors=True)
-
-####
-vdt = validate.Validator()
-class Bunch: pass
-vf = Bunch()
-vf.__dict__.update(vdt.functions)
-vf.pass_ = vdt.functions['pass']
-vf.__dict__.pop('',None)
-vf.__dict__.pop('pass',None)
-###
-
-
-if test==True:
-    print 'All OK'
-else:
-    err = configobj.flatten_errors(config,test)
-    print 'Flat errors:'
-    for secs,key,result in err:
-        if secs == []:
-            print 'DEFAULT:','key:',key,'err:',result
-        else:
-            print 'Secs:',secs,'key:',key,'err:',result
-
-
-##
-print '*'*80
-
-sc = sconfig.SConfig(configspecfilename)
-
-
-
-####
-
-            
-        

README

@@ -1,11 +0,0 b''
-Please see the doc/ directory for full manuals and other documents. The manual is
-prepared using the LyX system (www.lyx.org), but in the doc/manual directory
-you'll find HTML and PDF versions.
-
-These manuals normally get installed to $PREFIX/share/doc/ipython-VERSION, unless you
-redirect the installer via a --prefix/--home option.  Normally, $PREFIX is
-/usr, but your Python may be installed elsewhere.  You can see its value by
-running:
-
-python -c "import sys;print sys.prefix"
-

doc/source/ipython.rst

@@ -1,5879 +0,0 b''
-.. IPython documentation master file, created by sphinx-quickstart.py on Mon Mar 24 17:01:34 2008.
-   You can adapt this file completely to your liking, but it should at least
-   contain the root 'toctree' directive.
-
-IPython documentation
-=====================
-
-Contents:
-
-.. toctree::
-   :maxdepth: 2
-
-Indices and tables
-==================
-
-* :ref:`genindex`
-* :ref:`modindex`
-* :ref:`search`
-
-Introduction
-============
-
-This is the official documentation for IPython 0.x series (i.e. what
-we are used to refer to just as "IPython"). The original text of the
-manual (most of which is still in place) has been authored by Fernando
-Perez, but as recommended usage patterns and new features have
-emerged, this manual has been updated to reflect that fact. Most of
-the additions have been authored by Ville M. Vainio.
-
-The manual has been generated from reStructuredText source markup with
-Sphinx, which should make it much easier to keep it up-to-date in the
-future. Some reST artifacts and bugs may still be apparent in the
-documentation, but this should improve as the toolchain matures.
-
-Overview
-========
-
-One of Python's most useful features is its interactive interpreter.
-This system allows very fast testing of ideas without the overhead of
-creating test files as is typical in most programming languages.
-However, the interpreter supplied with the standard Python distribution
-is somewhat limited for extended interactive use.
-
-IPython is a free software project (released under the BSD license)
-which tries to:
-
-   1. Provide an interactive shell superior to Python's default. IPython
-      has many features for object introspection, system shell access,
-      and its own special command system for adding functionality when
-      working interactively. It tries to be a very efficient environment
-      both for Python code development and for exploration of problems
-      using Python objects (in situations like data analysis).
-   2. Serve as an embeddable, ready to use interpreter for your own
-      programs. IPython can be started with a single call from inside
-      another program, providing access to the current namespace. This
-      can be very useful both for debugging purposes and for situations
-      where a blend of batch-processing and interactive exploration are
-      needed.
-   3. Offer a flexible framework which can be used as the base
-      environment for other systems with Python as the underlying
-      language. Specifically scientific environments like Mathematica,
-      IDL and Matlab inspired its design, but similar ideas can be
-      useful in many fields.
-   4. Allow interactive testing of threaded graphical toolkits. IPython
-      has support for interactive, non-blocking control of GTK, Qt and
-      WX applications via special threading flags. The normal Python
-      shell can only do this for Tkinter applications.
-
-
-Main features
--------------
-
-* Dynamic object introspection. One can access docstrings, function
-  definition prototypes, source code, source files and other details
-  of any object accessible to the interpreter with a single
-  keystroke ('?', and using '??' provides additional detail).
-* Searching through modules and namespaces with '*' wildcards, both
-  when using the '?' system and via the %psearch command.
-* Completion in the local namespace, by typing TAB at the prompt.
-  This works for keywords, modules, methods, variables and files in the
-  current directory. This is supported via the readline library, and
-  full access to configuring readline's behavior is provided. 
-  Custom completers can be implemented easily for different purposes
-  (system commands, magic arguments etc.)
-* Numbered input/output prompts with command history (persistent
-  across sessions and tied to each profile), full searching in this
-  history and caching of all input and output.
-* User-extensible 'magic' commands. A set of commands prefixed with
-  % is available for controlling IPython itself and provides
-  directory control, namespace information and many aliases to
-  common system shell commands.
-* Alias facility for defining your own system aliases.
-* Complete system shell access. Lines starting with ! are passed
-  directly to the system shell, and using !! or var = !cmd 
-  captures shell output into python variables for further use.
-* Background execution of Python commands in a separate thread.
-  IPython has an internal job manager called jobs, and a
-  conveninence backgrounding magic function called %bg.
-* The ability to expand python variables when calling the system
-  shell. In a shell command, any python variable prefixed with $ is
-  expanded. A double $$ allows passing a literal $ to the shell (for
-  access to shell and environment variables like $PATH).
-* Filesystem navigation, via a magic %cd command, along with a
-  persistent bookmark system (using %bookmark) for fast access to
-  frequently visited directories.
-* A lightweight persistence framework via the %store command, which
-  allows you to save arbitrary Python variables. These get restored
-  automatically when your session restarts.
-* Automatic indentation (optional) of code as you type (through the
-  readline library).
-* Macro system for quickly re-executing multiple lines of previous
-  input with a single name. Macros can be stored persistently via
-  %store and edited via %edit.
-* Session logging (you can then later use these logs as code in your
-  programs). Logs can optionally timestamp all input, and also store
-  session output (marked as comments, so the log remains valid
-  Python source code).
-* Session restoring: logs can be replayed to restore a previous
-  session to the state where you left it.
-* Verbose and colored exception traceback printouts. Easier to parse
-  visually, and in verbose mode they produce a lot of useful
-  debugging information (basically a terminal version of the cgitb
-  module).
-* Auto-parentheses: callable objects can be executed without
-  parentheses: 'sin 3' is automatically converted to 'sin(3)'.
-* Auto-quoting: using ',' or ';' as the first character forces
-  auto-quoting of the rest of the line: ',my_function a b' becomes
-  automatically 'my_function("a","b")', while ';my_function a b'
-  becomes 'my_function("a b")'.
-* Extensible input syntax. You can define filters that pre-process
-  user input to simplify input in special situations. This allows
-  for example pasting multi-line code fragments which start with
-  '>>>' or '...' such as those from other python sessions or the
-  standard Python documentation.
-* Flexible configuration system. It uses a configuration file which
-  allows permanent setting of all command-line options, module
-  loading, code and file execution. The system allows recursive file
-  inclusion, so you can have a base file with defaults and layers
-  which load other customizations for particular projects.
-* Embeddable. You can call IPython as a python shell inside your own
-  python programs. This can be used both for debugging code or for
-  providing interactive abilities to your programs with knowledge
-  about the local namespaces (very useful in debugging and data
-  analysis situations).
-* Easy debugger access. You can set IPython to call up an enhanced
-  version of the Python debugger (pdb) every time there is an
-  uncaught exception. This drops you inside the code which triggered
-  the exception with all the data live and it is possible to
-  navigate the stack to rapidly isolate the source of a bug. The
-  %run magic command -with the -d option- can run any script under
-  pdb's control, automatically setting initial breakpoints for you.
-  This version of pdb has IPython-specific improvements, including
-  tab-completion and traceback coloring support. For even easier
-  debugger access, try %debug after seeing an exception. winpdb is 
-  also supported, see ipy_winpdb extension.
-* Profiler support. You can run single statements (similar to
-  profile.run()) or complete programs under the profiler's control.
-  While this is possible with standard cProfile or profile modules,
-  IPython wraps this functionality with magic commands (see '%prun'
-  and '%run -p') convenient for rapid interactive work.
-* Doctest support. The special %doctest_mode command toggles a mode
-  that allows you to paste existing doctests (with leading '>>>'
-  prompts and whitespace) and uses doctest-compatible prompts and
-  output, so you can use IPython sessions as doctest code.
-
-
-Portability and Python requirements
------------------------------------
-
-Python requirements: IPython requires with Python version 2.3 or newer.
-If you are still using Python 2.2 and can not upgrade, the last version
-of IPython which worked with Python 2.2 was 0.6.15, so you will have to
-use that.
-
-IPython is developed under Linux, but it should work in any reasonable
-Unix-type system (tested OK under Solaris and the BSD family, for which
-a port exists thanks to Dryice Liu).
-
-Mac OS X: it works, apparently without any problems (thanks to Jim Boyle
-at Lawrence Livermore for the information). Thanks to Andrea Riciputi,
-Fink support is available.
-
-CygWin: it works mostly OK, though some users have reported problems
-with prompt coloring. No satisfactory solution to this has been found so
-far, you may want to disable colors permanently in the ipythonrc
-configuration file if you experience problems. If you have proper color
-support under cygwin, please post to the IPython mailing list so this
-issue can be resolved for all users.
-
-Windows: it works well under Windows Vista/XP/2k, and I suspect NT should
-behave similarly. Section "Installation under windows" describes
-installation details for Windows, including some additional tools needed
-on this platform.
-
-Windows 9x support is present, and has been reported to work fine (at
-least on WinME).
-
-Location
---------
-
-IPython is generously hosted at http://ipython.scipy.org by the
-Enthought, Inc and the SciPy project. This site offers downloads,
-subversion access, mailing lists and a bug tracking system. I am very
-grateful to Enthought (http://www.enthought.com) and all of the SciPy
-team for their contribution.
-
-Installation
-============
-
-Instant instructions
---------------------
-
-If you are of the impatient kind, under Linux/Unix simply untar/unzip
-the download, then install with 'python setup.py install'. Under
-Windows, double-click on the provided .exe binary installer.
-
-Then, take a look at Customization_ section for configuring things
-optimally and `Quick tips`_ for quick tips on efficient use of
-IPython. You can later refer to the rest of the manual for all the
-gory details.
-
-See the notes in upgrading_ section for upgrading IPython versions.
-
-
-    Detailed Unix instructions (Linux, Mac OS X, etc.)
-
-For RPM based systems, simply install the supplied package in the usual
-manner. If you download the tar archive, the process is:
-
-   1. Unzip/untar the ipython-XXX.tar.gz file wherever you want (XXX is
-      the version number). It will make a directory called ipython-XXX.
-      Change into that directory where you will find the files README
-      and setup.py. Once you've completed the installation, you can
-      safely remove this directory.
-   2. If you are installing over a previous installation of version
-      0.2.0 or earlier, first remove your $HOME/.ipython directory,
-      since the configuration file format has changed somewhat (the '='
-      were removed from all option specifications). Or you can call
-      ipython with the -upgrade option and it will do this automatically
-      for you.
-   3. IPython uses distutils, so you can install it by simply typing at
-      the system prompt (don't type the $)::
-      
-      	$ python setup.py install
-      	
-      Note that this assumes you have root access to your machine. If
-      you don't have root access or don't want IPython to go in the
-      default python directories, you'll need to use the ``--home`` option
-      (or ``--prefix``). For example::
-      
-      	$ python setup.py install --home $HOME/local
-      	
-      will install IPython into $HOME/local and its subdirectories
-      (creating them if necessary).
-      You can type::
-      
-      	$ python setup.py --help
-      	
-      for more details.
-      
-      Note that if you change the default location for ``--home`` at
-      installation, IPython may end up installed at a location which is
-      not part of your $PYTHONPATH environment variable. In this case,
-      you'll need to configure this variable to include the actual
-      directory where the IPython/ directory ended (typically the value
-      you give to ``--home`` plus /lib/python).
-
-
-Mac OSX information
--------------------
-
-Under OSX, there is a choice you need to make. Apple ships its own build
-of Python, which lives in the core OSX filesystem hierarchy. You can
-also manually install a separate Python, either purely by hand
-(typically in /usr/local) or by using Fink, which puts everything under
-/sw. Which route to follow is a matter of personal preference, as I've
-seen users who favor each of the approaches. Here I will simply list the
-known installation issues under OSX, along with their solutions.
-
-This page: http://geosci.uchicago.edu/~tobis/pylab.html contains
-information on this topic, with additional details on how to make
-IPython and matplotlib play nicely under OSX.
-
-To run IPython and readline on OSX "Leopard" system python, see the 
-wiki page at http://ipython.scipy.org/moin/InstallationOSXLeopard
-
-
-GUI problems
-------------
-
-The following instructions apply to an install of IPython under OSX from
-unpacking the .tar.gz distribution and installing it for the default
-Python interpreter shipped by Apple. If you are using a fink install,
-fink will take care of these details for you, by installing IPython
-against fink's Python.
-
-IPython offers various forms of support for interacting with graphical
-applications from the command line, from simple Tk apps (which are in
-principle always supported by Python) to interactive control of WX, Qt
-and GTK apps. Under OSX, however, this requires that ipython is
-installed by calling the special pythonw script at installation time,
-which takes care of coordinating things with Apple's graphical environment.
-
-So when installing under OSX, it is best to use the following command:: 
-
-	$ sudo pythonw setup.py install --install-scripts=/usr/local/bin
-
-or
-
-	$ sudo pythonw setup.py install --install-scripts=/usr/bin
-	
-depending on where you like to keep hand-installed executables.
-
-The resulting script will have an appropriate shebang line (the first
-line in the script whic begins with #!...) such that the ipython
-interpreter can interact with the OS X GUI. If the installed version
-does not work and has a shebang line that points to, for example, just
-/usr/bin/python, then you might have a stale, cached version in your
-build/scripts-<python-version> directory. Delete that directory and
-rerun the setup.py.
-
-It is also a good idea to use the special flag ``--install-scripts`` as
-indicated above, to ensure that the ipython scripts end up in a location
-which is part of your $PATH. Otherwise Apple's Python will put the
-scripts in an internal directory not available by default at the command
-line (if you use /usr/local/bin, you need to make sure this is in your
-$PATH, which may not be true by default).
-
-
-Readline problems
------------------
-
-By default, the Python version shipped by Apple does not include the
-readline library, so central to IPython's behavior. If you install
-IPython against Apple's Python, you will not have arrow keys, tab
-completion, etc. For Mac OSX 10.3 (Panther), you can find a prebuilt
-readline library here:
-http://pythonmac.org/packages/readline-5.0-py2.3-macosx10.3.zip
-
-If you are using OSX 10.4 (Tiger), after installing this package you
-need to either:
-
-   1. move readline.so from /Library/Python/2.3 to
-      /Library/Python/2.3/site-packages, or
-   2. install http://pythonmac.org/packages/TigerPython23Compat.pkg.zip
-
-Users installing against Fink's Python or a properly hand-built one
-should not have this problem.
-
-
-DarwinPorts
------------
-
-I report here a message from an OSX user, who suggests an alternative
-means of using IPython under this operating system with good results.
-Please let me know of any updates that may be useful for this section.
-His message is reproduced verbatim below:
-
-    From: Markus Banfi <markus.banfi-AT-mospheira.net> 
-
-    As a MacOS X (10.4.2) user I prefer to install software using
-    DawinPorts instead of Fink. I had no problems installing ipython
-    with DarwinPorts. It's just: 
-
-    sudo port install py-ipython 
-
-    It automatically resolved all dependencies (python24, readline,
-    py-readline). So far I did not encounter any problems with the
-    DarwinPorts port of ipython. 
-
-
-
-Windows instructions
---------------------
-
-Some of IPython's very useful features are:
-
-    * Integrated readline support (Tab-based file, object and attribute
-      completion, input history across sessions, editable command line,
-      etc.)
-    * Coloring of prompts, code and tracebacks.
-
-.. _pyreadline:
-
-These, by default, are only available under Unix-like operating systems.
-However, thanks to Gary Bishop's work, Windows XP/2k users can also
-benefit from them. His readline library originally implemented both GNU
-readline functionality and color support, so that IPython under Windows
-XP/2k can be as friendly and powerful as under Unix-like environments.
-
-This library, now named PyReadline, has been absorbed by the IPython
-team (Jörgen Stenarson, in particular), and it continues to be developed
-with new features, as well as being distributed directly from the
-IPython site.
-
-The PyReadline extension requires CTypes and the windows IPython
-installer needs PyWin32, so in all you need:
-
-   1. PyWin32 from http://sourceforge.net/projects/pywin32.
-   2. PyReadline for Windows from
-      http://ipython.scipy.org/moin/PyReadline/Intro. That page contains
-      further details on using and configuring the system to your liking.
-   3. Finally, only if you are using Python 2.3 or 2.4, you need CTypes
-      from http://starship.python.net/crew/theller/ctypes(you must use
-      version 0.9.1 or newer). This package is included in Python 2.5,
-      so you don't need to manually get it if your Python version is 2.5
-      or newer.
-
-Warning about a broken readline-like library: several users have
-reported problems stemming from using the pseudo-readline library at
-http://newcenturycomputers.net/projects/readline.html. This is a broken
-library which, while called readline, only implements an incomplete
-subset of the readline API. Since it is still called readline, it fools
-IPython's detection mechanisms and causes unpredictable crashes later.
-If you wish to use IPython under Windows, you must NOT use this library,
-which for all purposes is (at least as of version 1.6) terminally broken.
-
-
-Installation procedure
-----------------------
-
-Once you have the above installed, from the IPython download directory
-grab the ipython-XXX.win32.exe file, where XXX represents the version
-number. This is a regular windows executable installer, which you can
-simply double-click to install. It will add an entry for IPython to your
-Start Menu, as well as registering IPython in the Windows list of
-applications, so you can later uninstall it from the Control Panel.
-
-IPython tries to install the configuration information in a directory
-named .ipython (_ipython under Windows) located in your 'home'
-directory. IPython sets this directory by looking for a HOME environment
-variable; if such a variable does not exist, it uses HOMEDRIVE\HOMEPATH
-(these are always defined by Windows). This typically gives something
-like C:\Documents and Settings\YourUserName, but your local details may
-vary. In this directory you will find all the files that configure
-IPython's defaults, and you can put there your profiles and extensions.
-This directory is automatically added by IPython to sys.path, so
-anything you place there can be found by import statements.
-
-
-Upgrading
----------
-
-For an IPython upgrade, you should first uninstall the previous version.
-This will ensure that all files and directories (such as the
-documentation) which carry embedded version strings in their names are
-properly removed.
-
-
-Manual installation under Win32
--------------------------------
-
-In case the automatic installer does not work for some reason, you can
-download the ipython-XXX.tar.gz file, which contains the full IPython
-source distribution (the popular WinZip can read .tar.gz files). After
-uncompressing the archive, you can install it at a command terminal just
-like any other Python module, by using 'python setup.py install'.
-
-After the installation, run the supplied win32_manual_post_install.py
-script, which creates the necessary Start Menu shortcuts for you.
-
-
-.. upgrading:
-
-Upgrading from a previous version
----------------------------------
-
-If you are upgrading from a previous version of IPython, you may want
-to upgrade the contents of your ~/.ipython directory. Just run
-%upgrade, look at the diffs and delete the suggested files manually,
-if you think you can lose the old versions. %upgrade will never
-overwrite or delete anything.
-
-Initial configuration of your environment
-=========================================
-
-This section will help you set various things in your environment for
-your IPython sessions to be as efficient as possible. All of IPython's
-configuration information, along with several example files, is stored
-in a directory named by default $HOME/.ipython. You can change this by
-defining the environment variable IPYTHONDIR, or at runtime with the
-command line option -ipythondir.
-
-If all goes well, the first time you run IPython it should
-automatically create a user copy of the config directory for you,
-based on its builtin defaults. You can look at the files it creates to
-learn more about configuring the system. The main file you will modify
-to configure IPython's behavior is called ipythonrc (with a .ini
-extension under Windows), included for reference in `ipythonrc`_ 
-section. This file is very commented and has many variables you can
-change to suit your taste, you can find more details in
-Sec. customization_. Here we discuss the basic things you will want to
-make sure things are working properly from the beginning.
-
-
-.. _Accessing help:
-
-Access to the Python help system
---------------------------------
-
-This is true for Python in general (not just for IPython): you should
-have an environment variable called PYTHONDOCS pointing to the directory
-where your HTML Python documentation lives. In my system it's
-/usr/share/doc/python-docs-2.3.4/html, check your local details or ask
-your systems administrator.
-
-This is the directory which holds the HTML version of the Python
-manuals. Unfortunately it seems that different Linux distributions
-package these files differently, so you may have to look around a bit.
-Below I show the contents of this directory on my system for reference::
-
-    [html]> ls 
-    about.dat acks.html dist/ ext/ index.html lib/ modindex.html
-    stdabout.dat tut/ about.html api/ doc/ icons/ inst/ mac/ ref/ style.css
-
-You should really make sure this variable is correctly set so that
-Python's pydoc-based help system works. It is a powerful and convenient
-system with full access to the Python manuals and all modules accessible
-to you.
-
-Under Windows it seems that pydoc finds the documentation automatically,
-so no extra setup appears necessary.
-
-
-Editor
-------
-
-The %edit command (and its alias %ed) will invoke the editor set in your
-environment as EDITOR. If this variable is not set, it will default to
-vi under Linux/Unix and to notepad under Windows. You may want to set
-this variable properly and to a lightweight editor which doesn't take
-too long to start (that is, something other than a new instance of
-Emacs). This way you can edit multi-line code quickly and with the power
-of a real editor right inside IPython.
-
-If you are a dedicated Emacs user, you should set up the Emacs server so
-that new requests are handled by the original process. This means that
-almost no time is spent in handling the request (assuming an Emacs
-process is already running). For this to work, you need to set your
-EDITOR environment variable to 'emacsclient'. The code below, supplied
-by Francois Pinard, can then be used in your .emacs file to enable the
-server::
-
-    (defvar server-buffer-clients) 
-    (when (and (fboundp 'server-start) (string-equal (getenv "TERM") 'xterm)) 
-      (server-start) 
-      (defun fp-kill-server-with-buffer-routine () 
-        (and server-buffer-clients (server-done))) 
-      (add-hook 'kill-buffer-hook 'fp-kill-server-with-buffer-routine))
-
-You can also set the value of this editor via the commmand-line option
-'-editor' or in your ipythonrc file. This is useful if you wish to use
-specifically for IPython an editor different from your typical default
-(and for Windows users who tend to use fewer environment variables).
-
-
-Color
------
-
-The default IPython configuration has most bells and whistles turned on
-(they're pretty safe). But there's one that may cause problems on some
-systems: the use of color on screen for displaying information. This is
-very useful, since IPython can show prompts and exception tracebacks
-with various colors, display syntax-highlighted source code, and in
-general make it easier to visually parse information.
-
-The following terminals seem to handle the color sequences fine:
-
-    * Linux main text console, KDE Konsole, Gnome Terminal, E-term,
-      rxvt, xterm.
-    * CDE terminal (tested under Solaris). This one boldfaces light colors.
-    * (X)Emacs buffers. See the emacs_ section for more details on
-      using IPython with (X)Emacs.
-    * A Windows (XP/2k) command prompt with pyreadline_.
-    * A Windows (XP/2k) CygWin shell. Although some users have reported
-      problems; it is not clear whether there is an issue for everyone
-      or only under specific configurations. If you have full color
-      support under cygwin, please post to the IPython mailing list so
-      this issue can be resolved for all users.
-
-These have shown problems:
-
-    * Windows command prompt in WinXP/2k logged into a Linux machine via
-      telnet or ssh.
-    * Windows native command prompt in WinXP/2k, without Gary Bishop's
-      extensions. Once Gary's readline library is installed, the normal
-      WinXP/2k command prompt works perfectly.
-
-Currently the following color schemes are available:
-
-    * NoColor: uses no color escapes at all (all escapes are empty '' ''
-      strings). This 'scheme' is thus fully safe to use in any terminal.
-    * Linux: works well in Linux console type environments: dark
-      background with light fonts. It uses bright colors for
-      information, so it is difficult to read if you have a light
-      colored background.
-    * LightBG: the basic colors are similar to those in the Linux scheme
-      but darker. It is easy to read in terminals with light backgrounds.
-
-IPython uses colors for two main groups of things: prompts and
-tracebacks which are directly printed to the terminal, and the object
-introspection system which passes large sets of data through a pager.
-
-
-Input/Output prompts and exception tracebacks
----------------------------------------------
-
-You can test whether the colored prompts and tracebacks work on your
-system interactively by typing '%colors Linux' at the prompt (use
-'%colors LightBG' if your terminal has a light background). If the input
-prompt shows garbage like::
-
-    [0;32mIn [[1;32m1[0;32m]: [0;00m
-                               
-instead of (in color) something like::
-    
-    In [1]:
-        
-this means that your terminal doesn't properly handle color escape
-sequences. You can go to a 'no color' mode by typing '%colors NoColor'.
-
-You can try using a different terminal emulator program (Emacs users,
-see below). To permanently set your color preferences, edit the file
-$HOME/.ipython/ipythonrc and set the colors option to the desired value.
-
-
-Object details (types, docstrings, source code, etc.)
------------------------------------------------------
-
-IPython has a set of special functions for studying the objects you
-are working with, discussed in detail in Sec. `dynamic object
-information`_. But this system relies on passing information which is
-longer than your screen through a data pager, such as the common Unix
-less and more programs. In order to be able to see this information in
-color, your pager needs to be properly configured. I strongly
-recommend using less instead of more, as it seems that more simply can
-not understand colored text correctly.
-
-In order to configure less as your default pager, do the following:
-
-   1. Set the environment PAGER variable to less.
-   2. Set the environment LESS variable to -r (plus any other options
-      you always want to pass to less by default). This tells less to
-      properly interpret control sequences, which is how color
-      information is given to your terminal.
-
-For the csh or tcsh shells, add to your ~/.cshrc file the lines::
-
-    setenv PAGER less 
-    setenv LESS -r
-
-There is similar syntax for other Unix shells, look at your system
-documentation for details.
-
-If you are on a system which lacks proper data pagers (such as Windows),
-IPython will use a very limited builtin pager.
-
-.. _emacs:
-
-(X)Emacs configuration
-----------------------
-
-Thanks to the work of Alexander Schmolck and Prabhu Ramachandran,
-currently (X)Emacs and IPython get along very well.
-
-Important note: You will need to use a recent enough version of
-python-mode.el, along with the file ipython.el. You can check that the
-version you have of python-mode.el is new enough by either looking at
-the revision number in the file itself, or asking for it in (X)Emacs via
-M-x py-version. Versions 4.68 and newer contain the necessary fixes for
-proper IPython support.
-
-The file ipython.el is included with the IPython distribution, in the
-documentation directory (where this manual resides in PDF and HTML
-formats).
-
-Once you put these files in your Emacs path, all you need in your .emacs
-file is::
-
-    (require 'ipython) 
-
-This should give you full support for executing code snippets via
-IPython, opening IPython as your Python shell via C-c !, etc.
-
-If you happen to get garbage instead of colored prompts as described in
-the previous section, you may need to set also in your .emacs file::
-
-    (setq ansi-color-for-comint-mode t) 
-
-
-Notes:
-
-    * There is one caveat you should be aware of: you must start the
-      IPython shell before attempting to execute any code regions via
-      ``C-c |``. Simply type C-c ! to start IPython before passing any code
-      regions to the interpreter, and you shouldn't experience any
-      problems.
-      This is due to a bug in Python itself, which has been fixed for
-      Python 2.3, but exists as of Python 2.2.2 (reported as SF bug [
-      737947 ]).
-    * The (X)Emacs support is maintained by Alexander Schmolck, so all
-      comments/requests should be directed to him through the IPython
-      mailing lists.
-    * This code is still somewhat experimental so it's a bit rough
-      around the edges (although in practice, it works quite well).
-    * Be aware that if you customize py-python-command previously, this
-      value will override what ipython.el does (because loading the
-      customization variables comes later).
-
-.. Quick tips:
-
-Quick tips
-==========
-
-IPython can be used as an improved replacement for the Python prompt,
-and for that you don't really need to read any more of this manual. But
-in this section we'll try to summarize a few tips on how to make the
-most effective use of it for everyday Python development, highlighting
-things you might miss in the rest of the manual (which is getting long).
-We'll give references to parts in the manual which provide more detail
-when appropriate.
-
-The following article by Jeremy Jones provides an introductory tutorial
-about IPython:
-http://www.onlamp.com/pub/a/python/2005/01/27/ipython.html
-
-    * The TAB key. TAB-completion, especially for attributes, is a
-      convenient way to explore the structure of any object you're
-      dealing with. Simply type object_name.<TAB> and a list of the
-      object's attributes will be printed (see readline_ for
-      more). Tab completion also works on
-      file and directory names, which combined with IPython's alias
-      system allows you to do from within IPython many of the things you
-      normally would need the system shell for.
-    * Explore your objects. Typing object_name? will print all sorts of
-      details about any object, including docstrings, function
-      definition lines (for call arguments) and constructor details for
-      classes. The magic commands %pdoc, %pdef, %psource and %pfile will
-      respectively print the docstring, function definition line, full
-      source code and the complete file for any object (when they can be
-      found). If automagic is on (it is by default), you don't need to
-      type the '%' explicitly. See sec. `dynamic object information`_
-      for more.
-    * The %run magic command allows you to run any python script and
-      load all of its data directly into the interactive namespace.
-      Since the file is re-read from disk each time, changes you make to
-      it are reflected immediately (in contrast to the behavior of
-      import). I rarely use import for code I am testing, relying on
-      %run instead. See magic_ section for more on this
-      and other magic commands, or type the name of any magic command
-      and ? to get details on it. See also sec. dreload_ for a
-      recursive reload command.
-      %run also has special flags for timing the execution of your
-      scripts (-t) and for executing them under the control of either
-      Python's pdb debugger (-d) or profiler (-p). With all of these,
-      %run can be used as the main tool for efficient interactive
-      development of code which you write in your editor of choice.
-    * Use the Python debugger, pdb. The %pdb
-      command allows you to toggle on and off the automatic invocation
-      of an IPython-enhanced pdb debugger (with coloring, tab completion
-      and more) at any uncaught exception. The advantage of this is that
-      pdb starts inside the function where the exception occurred, with
-      all data still available. You can print variables, see code,
-      execute statements and even walk up and down the call stack to
-      track down the true source of the problem (which often is many
-      layers in the stack above where the exception gets triggered).
-      Running programs with %run and pdb active can be an efficient to
-      develop and debug code, in many cases eliminating the need for
-      print statements or external debugging tools. I often simply put a
-      1/0 in a place where I want to take a look so that pdb gets
-      called, quickly view whatever variables I need to or test various
-      pieces of code and then remove the 1/0.
-      Note also that '%run -d' activates pdb and automatically sets
-      initial breakpoints for you to step through your code, watch
-      variables, etc. See Sec. `Output caching`_ for
-      details.
-    * Use the output cache. All output results are automatically stored
-      in a global dictionary named Out and variables named _1, _2, etc.
-      alias them. For example, the result of input line 4 is available
-      either as Out[4] or as _4. Additionally, three variables named _,
-      __ and ___ are always kept updated with the for the last three
-      results. This allows you to recall any previous result and further
-      use it for new calculations. See Sec. `Output caching`_ for more.
-    * Put a ';' at the end of a line to supress the printing of output.
-      This is useful when doing calculations which generate long output
-      you are not interested in seeing. The _* variables and the Out[]
-      list do get updated with the contents of the output, even if it is
-      not printed. You can thus still access the generated results this
-      way for further processing.
-    * A similar system exists for caching input. All input is stored in
-      a global list called In , so you can re-execute lines 22 through
-      28 plus line 34 by typing 'exec In[22:29]+In[34]' (using Python
-      slicing notation). If you need to execute the same set of lines
-      often, you can assign them to a macro with the %macro function.
-      See sec. `Input caching`_ for more.
-    * Use your input history. The %hist command can show you all
-      previous input, without line numbers if desired (option -n) so you
-      can directly copy and paste code either back in IPython or in a
-      text editor. You can also save all your history by turning on
-      logging via %logstart; these logs can later be either reloaded as
-      IPython sessions or used as code for your programs.
-    * Define your own system aliases. Even though IPython gives you
-      access to your system shell via the ! prefix, it is convenient to
-      have aliases to the system commands you use most often. This
-      allows you to work seamlessly from inside IPython with the same
-      commands you are used to in your system shell.
-      IPython comes with some pre-defined aliases and a complete system
-      for changing directories, both via a stack (see %pushd, %popd and
-      %dhist) and via direct %cd. The latter keeps a history of visited
-      directories and allows you to go to any previously visited one.
-    * Use Python to manipulate the results of system commands. The '!!'
-      special syntax, and the %sc and %sx magic commands allow you to
-      capture system output into Python variables.
-    * Expand python variables when calling the shell (either via '!' and
-      '!!' or via aliases) by prepending a $ in front of them. You can
-      also expand complete python expressions. See 
-      `System shell access`_ for more.
-    * Use profiles to maintain different configurations (modules to
-      load, function definitions, option settings) for particular tasks.
-      You can then have customized versions of IPython for specific
-      purposes. See sec. profiles_ for more.
-    * Embed IPython in your programs. A few lines of code are enough to
-      load a complete IPython inside your own programs, giving you the
-      ability to work with your data interactively after automatic
-      processing has been completed. See sec. embedding_
-      for more.
-    * Use the Python profiler. When dealing with performance issues, the
-      %run command with a -p option allows you to run complete programs
-      under the control of the Python profiler. The %prun command does a
-      similar job for single Python expressions (like function calls).
-    * Use the IPython.demo.Demo class to load any Python script as an
-      interactive demo. With a minimal amount of simple markup, you can
-      control the execution of the script, stopping as needed. See
-      sec. `interactive demos`_ for more.
-    * Run your doctests from within IPython for development and
-      debugging. The special %doctest_mode command toggles a mode where
-      the prompt, output and exceptions display matches as closely as
-      possible that of the default Python interpreter. In addition, this
-      mode allows you to directly paste in code that contains leading
-      '>>>' prompts, even if they have extra leading whitespace (as is
-      common in doctest files). This combined with the '%history -tn'
-      call to see your translated history (with these extra prompts
-      removed and no line numbers) allows for an easy doctest workflow,
-      where you can go from doctest to interactive execution to pasting
-      into valid Python code as needed.
-
-
-Source code handling tips
--------------------------
-
-IPython is a line-oriented program, without full control of the
-terminal. Therefore, it doesn't support true multiline editing. However,
-it has a number of useful tools to help you in dealing effectively with
-more complex editing.
-
-The %edit command gives a reasonable approximation of multiline editing,
-by invoking your favorite editor on the spot. IPython will execute the
-code you type in there as if it were typed interactively. Type %edit?
-for the full details on the edit command.
-
-If you have typed various commands during a session, which you'd like to
-reuse, IPython provides you with a number of tools. Start by using %hist
-to see your input history, so you can see the line numbers of all input.
-Let us say that you'd like to reuse lines 10 through 20, plus lines 24
-and 28. All the commands below can operate on these with the syntax::
-
-    %command 10-20 24 28 
-
-where the command given can be:
-
-    * %macro <macroname>: this stores the lines into a variable which,
-      when called at the prompt, re-executes the input. Macros can be
-      edited later using '%edit macroname', and they can be stored
-      persistently across sessions with '%store macroname' (the storage
-      system is per-profile). The combination of quick macros,
-      persistent storage and editing, allows you to easily refine
-      quick-and-dirty interactive input into permanent utilities, always
-      available both in IPython and as files for general reuse.
-    * %edit: this will open a text editor with those lines pre-loaded
-      for further modification. It will then execute the resulting
-      file's contents as if you had typed it at the prompt.
-    * %save <filename>: this saves the lines directly to a named file on
-      disk.
-
-While %macro saves input lines into memory for interactive re-execution,
-sometimes you'd like to save your input directly to a file. The %save
-magic does this: its input sytnax is the same as %macro, but it saves
-your input directly to a Python file. Note that the %logstart command
-also saves input, but it logs all input to disk (though you can
-temporarily suspend it and reactivate it with %logoff/%logon); %save
-allows you to select which lines of input you need to save.
-
-
-Lightweight 'version control'
------------------------------
-
-When you call %edit with no arguments, IPython opens an empty editor
-with a temporary file, and it returns the contents of your editing
-session as a string variable. Thanks to IPython's output caching
-mechanism, this is automatically stored::
-
-    In [1]: %edit
-
-    IPython will make a temporary file named: /tmp/ipython_edit_yR-HCN.py
-
-    Editing... done. Executing edited code...
-
-    hello - this is a temporary file
-
-    Out[1]: "print 'hello - this is a temporary file'\n"
-
-Now, if you call '%edit -p', IPython tries to open an editor with the
-same data as the last time you used %edit. So if you haven't used %edit
-in the meantime, this same contents will reopen; however, it will be
-done in a new file. This means that if you make changes and you later
-want to find an old version, you can always retrieve it by using its
-output number, via '%edit _NN', where NN is the number of the output
-prompt.
-
-Continuing with the example above, this should illustrate this idea::
-
-    In [2]: edit -p
-
-    IPython will make a temporary file named: /tmp/ipython_edit_nA09Qk.py
-
-    Editing... done. Executing edited code...
-
-    hello - now I made some changes
-
-    Out[2]: "print 'hello - now I made some changes'\n"
-
-    In [3]: edit _1
-
-    IPython will make a temporary file named: /tmp/ipython_edit_gy6-zD.py
-
-    Editing... done. Executing edited code...
-
-    hello - this is a temporary file
-
-    IPython version control at work :)
-
-    Out[3]: "print 'hello - this is a temporary file'\nprint 'IPython version control at work :)'\n"
-
-
-This section was written after a contribution by Alexander Belchenko on
-the IPython user list.
-
-
-Effective logging
------------------
-
-A very useful suggestion sent in by Robert Kern follows:
-
-I recently happened on a nifty way to keep tidy per-project log files. I
-made a profile for my project (which is called "parkfield").
-
-    include ipythonrc
-
-    # cancel earlier logfile invocation:
-
-    logfile ''
-
-    execute import time
-
-    execute __cmd = '/Users/kern/research/logfiles/parkfield-%s.log rotate'
-
-    execute __IP.magic_logstart(__cmd % time.strftime('%Y-%m-%d'))
-
-I also added a shell alias for convenience:
-
-    alias parkfield="ipython -pylab -profile parkfield" 
-
-Now I have a nice little directory with everything I ever type in,
-organized by project and date.
-
-Contribute your own: If you have your own favorite tip on using IPython
-efficiently for a certain task (especially things which can't be done in
-the normal Python interpreter), don't hesitate to send it!
-
-.. _Command line options:
-
-Command-line use
-================
-
-You start IPython with the command::
-
-    $ ipython [options] files
-
-If invoked with no options, it executes all the files listed in sequence
-and drops you into the interpreter while still acknowledging any options
-you may have set in your ipythonrc file. This behavior is different from
-standard Python, which when called as python -i will only execute one
-file and ignore your configuration setup.
-
-Please note that some of the configuration options are not available at
-the command line, simply because they are not practical here. Look into
-your ipythonrc configuration file for details on those. This file
-typically installed in the $HOME/.ipython directory. For Windows users,
-$HOME resolves to C:\\Documents and Settings\\YourUserName in most
-instances. In the rest of this text, we will refer to this directory as
-IPYTHONDIR.
-
-.. _Threading options:
-
-
-Special Threading Options
--------------------------
-
-The following special options are ONLY valid at the beginning of the
-command line, and not later. This is because they control the initial-
-ization of ipython itself, before the normal option-handling mechanism
-is active.
-
-    -gthread, -qthread, -q4thread, -wthread, -pylab: 
-	Only one of these can be given, and it can only be given as
-	the first option passed to IPython (it will have no effect in
-	any other position).  They provide threading support for the
-	GTK, Qt (versions 3 and 4) and WXPython toolkits, and for the
-	matplotlib library.
-
-	With any of the first four options, IPython starts running a
-	separate thread for the graphical toolkit's operation, so that
-	you can open and control graphical elements from within an
-	IPython command line, without blocking. All four provide
-	essentially the same functionality, respectively for GTK, Qt3,
-	Qt4 and WXWidgets (via their Python interfaces).
-
-	Note that with -wthread, you can additionally use the
-	-wxversion option to request a specific version of wx to be
-	used.  This requires that you have the wxversion Python module
-	installed, which is part of recent wxPython distributions.
-
-	If -pylab is given, IPython loads special support for the mat
-	plotlib library (http://matplotlib.sourceforge.net), allowing
-	interactive usage of any of its backends as defined in the
-	user's ~/.matplotlib/matplotlibrc file. It automatically
-	activates GTK, Qt or WX threading for IPyhton if the choice of
-	matplotlib backend requires it. It also modifies the %run
-	command to correctly execute (without blocking) any
-	matplotlib-based script which calls show() at the end.
-
-    -tk
-	The -g/q/q4/wthread options, and -pylab (if matplotlib is
-	configured to use GTK, Qt3, Qt4 or WX), will normally block Tk
-	graphical interfaces. This means that when either GTK, Qt or WX
-	threading is active, any attempt to open a Tk GUI will result in a
-	dead window, and possibly cause the Python interpreter to crash.
-	An extra option, -tk, is available to address this issue. It can
-	only be given as a second option after any of the above (-gthread,
-	-wthread or -pylab).
-
-	If -tk is given, IPython will try to coordinate Tk threading
-	with GTK, Qt or WX. This is however potentially unreliable, and
-	you will have to test on your platform and Python configuration to
-	determine whether it works for you. Debian users have reported
-	success, apparently due to the fact that Debian builds all of Tcl,
-	Tk, Tkinter and Python with pthreads support. Under other Linux
-	environments (such as Fedora Core 2/3), this option has caused
-	random crashes and lockups of the Python interpreter. Under other
-	operating systems (Mac OSX and Windows), you'll need to try it to
-	find out, since currently no user reports are available.
-    
-	There is unfortunately no way for IPython to determine at run time
-	whether -tk will work reliably or not, so you will need to do some
-	experiments before relying on it for regular work.
-
-
-
-Regular Options
----------------
-
-After the above threading options have been given, regular options can
-follow in any order. All options can be abbreviated to their shortest
-non-ambiguous form and are case-sensitive. One or two dashes can be
-used. Some options have an alternate short form, indicated after a ``|``.
-
-Most options can also be set from your ipythonrc configuration file. See
-the provided example for more details on what the options do. Options
-given at the command line override the values set in the ipythonrc file.
-
-All options with a [no] prepended can be specified in negated form
-(-nooption instead of -option) to turn the feature off.
-
-    -help  print a help message and exit.
-
-    -pylab
-	this can only be given as the first option passed to IPython
-	(it will have no effect in any other position). It adds
-	special support for the matplotlib library
-	(http://matplotlib.sourceforge.ne), allowing interactive usage
-	of any of its backends as defined in the user's .matplotlibrc
-	file.  It automatically activates GTK or WX threading for
-	IPyhton if the choice of matplotlib backend requires it. It
-	also modifies the %run command to correctly execute (without
-	blocking) any matplotlib-based script which calls show() at
-	the end. See `Matplotlib support`_ for more details.
-
-    -autocall <val>
-	Make IPython automatically call any callable object even if you
-	didn't type explicit parentheses. For example, 'str 43' becomes
-	'str(43)' automatically. The value can be '0' to disable the feature,
-	'1' for smart autocall, where it is not applied if there are no more
-	arguments on the line, and '2' for full autocall, where all callable
-	objects are automatically called (even if no arguments are
-	present). The default is '1'.
-
-    -[no]autoindent    
-	Turn automatic indentation on/off.
-
-    -[no]automagic 
-	make magic commands automatic (without needing their first character
-	to be %). Type %magic at the IPython prompt for more information.
-
-    -[no]autoedit_syntax 
-	When a syntax error occurs after editing a file, automatically
-	open the file to the trouble causing line for convenient
-	fixing.
-
-    -[no]banner		Print the initial information banner (default on).
-
-    -c <command>
-	execute the given command string. This is similar to the -c
-	option in the normal Python interpreter.
-
-    -cache_size, cs <n> 
-	size of the output cache (maximum number of entries to hold in
-	memory). The default is 1000, you can change it permanently in your
-	config file. Setting it to 0 completely disables the caching system,
-	and the minimum value accepted is 20 (if you provide a value less than
-	20, it is reset to 0 and a warning is issued) This limit is defined
-	because otherwise you'll spend more time re-flushing a too small cache
-	than working.
-
-    -classic, cl 
-	Gives IPython a similar feel to the classic Python
-	prompt.
-
-    -colors <scheme> 
-	Color scheme for prompts and exception reporting. Currently
-	implemented: NoColor, Linux and LightBG.
-
-    -[no]color_info 
-	IPython can display information about objects via a set of functions,
-	and optionally can use colors for this, syntax highlighting source
-	code and various other elements.  However, because this information is
-	passed through a pager (like 'less') and many pagers get confused with
-	color codes, this option is off by default. You can test it and turn
-	it on permanently in your ipythonrc file if it works for you. As a
-	reference, the 'less' pager supplied with Mandrake 8.2 works ok, but
-	that in RedHat 7.2 doesn't.
-
-	Test it and turn it on permanently if it works with your
-	system. The magic function %color_info allows you to toggle this
-	interactively for testing.
-
-    -[no]debug 
-	Show information about the loading process. Very useful to pin down
-	problems with your configuration files or to get details about
-	session restores.
-
-    -[no]deep_reload: 
-	IPython can use the deep_reload module which reloads changes in
-	modules recursively (it replaces the reload() function, so you don't
-	need to change anything to use it).  deep_reload() forces a full
-	reload of modules whose code may have changed, which the default
-	reload() function does not.
-
-	When deep_reload is off, IPython will use the normal reload(),
-	but deep_reload will still be available as dreload(). This
-	feature is off by default [which means that you have both
-	normal reload() and dreload()].
-
-    -editor <name>
-	Which editor to use with the %edit command. By default,
-	IPython will honor your EDITOR environment variable (if not
-	set, vi is the Unix default and notepad the Windows one).
-	Since this editor is invoked on the fly by IPython and is
-	meant for editing small code snippets, you may want to use a
-	small, lightweight editor here (in case your default EDITOR is
-	something like Emacs).
-
-    -ipythondir <name> 
-	name of your IPython configuration directory IPYTHONDIR. This
-	can also be specified through the environment variable
-	IPYTHONDIR.
-
-    -log, l 
-	generate a log file of all input. The file is named
-	ipython_log.py in your current directory (which prevents logs
-	from multiple IPython sessions from trampling each other). You
-	can use this to later restore a session by loading your
-	logfile as a file to be executed with option -logplay (see
-	below).
-
-    -logfile, lf <name>   specify the name of your logfile.
-
-    -logplay, lp <name> 
-
-      you can replay a previous log. For restoring a session as close as
-      possible to the state you left it in, use this option (don't just run
-      the logfile). With -logplay, IPython will try to reconstruct the
-      previous working environment in full, not just execute the commands in
-      the logfile.
-
-      When a session is restored, logging is automatically turned on
-      again with the name of the logfile it was invoked with (it is
-      read from the log header). So once you've turned logging on for
-      a session, you can quit IPython and reload it as many times as
-      you want and it will continue to log its history and restore
-      from the beginning every time.
-      
-      Caveats: there are limitations in this option. The history
-      variables _i*,_* and _dh don't get restored properly. In the
-      future we will try to implement full session saving by writing
-      and retrieving a 'snapshot' of the memory state of IPython. But
-      our first attempts failed because of inherent limitations of
-      Python's Pickle module, so this may have to wait.
-
-    -[no]messages   
-	Print messages which IPython collects about its startup
-	process (default on).
-
-    -[no]pdb
-	Automatically call the pdb debugger after every uncaught
-	exception. If you are used to debugging using pdb, this puts
-	you automatically inside of it after any call (either in
-	IPython or in code called by it) which triggers an exception
-	which goes uncaught.
-
-    -pydb
-	Makes IPython use the third party "pydb" package as debugger,
-	instead of pdb. Requires that pydb is installed.
-	
-    -[no]pprint
-	ipython can optionally use the pprint (pretty printer) module
-	for displaying results. pprint tends to give a nicer display
-	of nested data structures. If you like it, you can turn it on
-	permanently in your config file (default off).
-
-    -profile, p <name>
-
-	assume that your config file is ipythonrc-<name> or
-	ipy_profile_<name>.py (looks in current dir first, then in
-	IPYTHONDIR).  This is a quick way to keep and load multiple
-	config files for different tasks, especially if you use the
-	include option of config files. You can keep a basic
-	IPYTHONDIR/ipythonrc file and then have other 'profiles' which
-	include this one and load extra things for particular
-	tasks. For example:
-
-	1. $HOME/.ipython/ipythonrc : load basic things you always want.
-	2. $HOME/.ipython/ipythonrc-math : load (1) and basic math-related modules.
-	3. $HOME/.ipython/ipythonrc-numeric : load (1) and Numeric and plotting modules.
-
-	Since it is possible to create an endless loop by having
-	circular file inclusions, IPython will stop if it reaches 15
-	recursive inclusions.
-
-    -prompt_in1, pi1 <string>
-	Specify the string used for input prompts. Note that if you
-	are using numbered prompts, the number is represented with a
-	'\#' in the string. Don't forget to quote strings with spaces
-	embedded in them. Default: 'In [\#]:'.  Sec. Prompts_
-	discusses in detail all the available escapes to customize
-	your prompts.
-
-    -prompt_in2, pi2 <string>
-	Similar to the previous option, but used for the continuation
-	prompts. The special sequence '\D' is similar to '\#', but
-	with all digits replaced dots (so you can have your
-	continuation prompt aligned with your input prompt).  Default:
-	' .\D.:' (note three spaces at the start for alignment with
-	'In [\#]').
-
-    -prompt_out,po <string> 
-	String used for output prompts, also uses numbers like
-	prompt_in1. Default: 'Out[\#]:'
-
-    -quick   start in bare bones mode (no config file loaded).
-
-    -rcfile <name>   
-	name of your IPython resource configuration file. Normally
-	IPython loads ipythonrc (from current directory) or
-	IPYTHONDIR/ipythonrc.
-
-	If the loading of your config file fails, IPython starts with
-	a bare bones configuration (no modules loaded at all).
-
-    -[no]readline
-	use the readline library, which is needed to support name
-	completion and command history, among other things.  It is
-	enabled by default, but may cause problems for users of
-	X/Emacs in Python comint or shell buffers.
-
-	Note that X/Emacs 'eterm' buffers (opened with M-x term) support
-	IPython's readline and syntax coloring fine, only 'emacs' (M-x
-	shell and C-c !) buffers do not.
-
-    -screen_length, sl <n>
-	number of lines of your screen. This is used to control
-	printing of very long strings. Strings longer than this number
-	of lines will be sent through a pager instead of directly
-	printed.
-
-	The default value for this is 0, which means IPython will
-	auto-detect your screen size every time it needs to print certain
-	potentially long strings (this doesn't change the behavior of the
-	'print' keyword, it's only triggered internally). If for some
-	reason this isn't working well (it needs curses support), specify
-	it yourself. Otherwise don't change the default.
-
-    -separate_in, si <string>
-
-	separator before input prompts.
-	Default: '\n'
-
-    -separate_out, so <string>  
-        separator before output prompts.
-        Default: nothing.
-
-    -separate_out2, so2
-	separator after output prompts.
-	Default: nothing.
-	For these three options, use the value 0 to specify no separator.
-
-    -nosep   
-	shorthand for '-SeparateIn 0 -SeparateOut 0 -SeparateOut2
-	0'. Simply removes all input/output separators.
-
-    -upgrade 
-	allows you to upgrade your IPYTHONDIR configuration when you
-	install a new version of IPython. Since new versions may
-	include new command line options or example files, this copies
-	updated ipythonrc-type files. However, it backs up (with a
-	.old extension) all files which it overwrites so that you can
-	merge back any customizations you might have in your personal
-	files. Note that you should probably use %upgrade instead,
-	it's a safer alternative.
-
-
-    -Version    print version information and exit.
-
-    -wxversion <string> 
-	Select a specific version of wxPython (used in conjunction
-	with -wthread). Requires the wxversion module, part of recent
-	wxPython distributions
-
-    -xmode <modename>
-
-	Mode for exception reporting.
-
-	Valid modes: Plain, Context and Verbose.
-
-	* Plain: similar to python's normal traceback printing.
-	* Context: prints 5 lines of context source code around each
-	  line in the traceback.
-	* Verbose: similar to Context, but additionally prints the
-	  variables currently visible where the exception happened
-	  (shortening their strings if too long). This can potentially be
-	  very slow, if you happen to have a huge data structure whose
-	  string representation is complex to compute. Your computer may
-	  appear to freeze for a while with cpu usage at 100%. If this
-	  occurs, you can cancel the traceback with Ctrl-C (maybe hitting it
-	  more than once).
-
-Interactive use
-===============
-
-Warning: IPython relies on the existence of a global variable called
-_ip which controls the shell itself. If you redefine _ip to anything,
-bizarre behavior will quickly occur.
-
-Other than the above warning, IPython is meant to work as a drop-in
-replacement for the standard interactive interpreter. As such, any code
-which is valid python should execute normally under IPython (cases where
-this is not true should be reported as bugs). It does, however, offer
-many features which are not available at a standard python prompt. What
-follows is a list of these.
-
-
-Caution for Windows users
--------------------------
-
-Windows, unfortunately, uses the '\' character as a path
-separator. This is a terrible choice, because '\' also represents the
-escape character in most modern programming languages, including
-Python. For this reason, using '/' character is recommended if you
-have problems with ``\``.  However, in Windows commands '/' flags
-options, so you can not use it for the root directory. This means that
-paths beginning at the root must be typed in a contrived manner like:
-``%copy \opt/foo/bar.txt \tmp``
-
-.. _magic:
-
-Magic command system
---------------------
-
-IPython will treat any line whose first character is a % as a special
-call to a 'magic' function. These allow you to control the behavior of
-IPython itself, plus a lot of system-type features. They are all
-prefixed with a % character, but parameters are given without
-parentheses or quotes.
-
-Example: typing '%cd mydir' (without the quotes) changes you working
-directory to 'mydir', if it exists.
-
-If you have 'automagic' enabled (in your ipythonrc file, via the command
-line option -automagic or with the %automagic function), you don't need
-to type in the % explicitly. IPython will scan its internal list of
-magic functions and call one if it exists. With automagic on you can
-then just type 'cd mydir' to go to directory 'mydir'. The automagic
-system has the lowest possible precedence in name searches, so defining
-an identifier with the same name as an existing magic function will
-shadow it for automagic use. You can still access the shadowed magic
-function by explicitly using the % character at the beginning of the line.
-
-An example (with automagic on) should clarify all this::
-
-    In [1]: cd ipython # %cd is called by automagic
-
-    /home/fperez/ipython
-
-    In [2]: cd=1 # now cd is just a variable
-
-    In [3]: cd .. # and doesn't work as a function anymore
-
-    ------------------------------
-
-        File "<console>", line 1
-
-          cd ..
-
-              ^
-
-    SyntaxError: invalid syntax
-
-    In [4]: %cd .. # but %cd always works
-
-    /home/fperez
-
-    In [5]: del cd # if you remove the cd variable
-
-    In [6]: cd ipython # automagic can work again
-
-    /home/fperez/ipython
-
-You can define your own magic functions to extend the system. The
-following example defines a new magic command, %impall::
-
-    import IPython.ipapi 
-
-    ip = IPython.ipapi.get()
-
-    def doimp(self, arg):
-
-        ip = self.api
-
-        ip.ex("import %s; reload(%s); from %s import *" % (
-
-        arg,arg,arg)
-
-        )
-
-    ip.expose_magic('impall', doimp)
-
-You can also define your own aliased names for magic functions. In your
-ipythonrc file, placing a line like:
-
-execute __IP.magic_cl = __IP.magic_clear
-
-will define %cl as a new name for %clear.
-
-Type %magic for more information, including a list of all available
-magic functions at any time and their docstrings. You can also type
-%magic_function_name? (see sec. 6.4 <#sec:dyn-object-info> for
-information on the '?' system) to get information about any particular
-magic function you are interested in.
-
-
-Magic commands
---------------
-
-The rest of this section is automatically generated for each release
-from the docstrings in the IPython code. Therefore the formatting is
-somewhat minimal, but this method has the advantage of having
-information always in sync with the code.
-
-A list of all the magic commands available in IPython's default
-installation follows. This is similar to what you'll see by simply
-typing %magic at the prompt, but that will also give you information
-about magic commands you may have added as part of your personal
-customizations.
-
-.. magic_start
-
-**%Exit**::
-
-	Exit IPython without confirmation.
-
-**%Pprint**::
-
-	Toggle pretty printing on/off.
-
-**%alias**::
-
-	Define an alias for a system command.
-
-        '%alias alias_name cmd' defines 'alias_name' as an alias for 'cmd'
-
-        Then, typing 'alias_name params' will execute the system command 'cmd
-        params' (from your underlying operating system).
-
-        Aliases have lower precedence than magic functions and Python normal
-        variables, so if 'foo' is both a Python variable and an alias, the
-        alias can not be executed until 'del foo' removes the Python variable.
-
-        You can use the %l specifier in an alias definition to represent the
-        whole line when the alias is called.  For example:
-
-          In [2]: alias all echo "Input in brackets: <%l>"\
-          In [3]: all hello world\
-          Input in brackets: <hello world>
-
-        You can also define aliases with parameters using %s specifiers (one
-        per parameter):
-        
-          In [1]: alias parts echo first %s second %s\
-          In [2]: %parts A B\
-          first A second B\
-          In [3]: %parts A\
-          Incorrect number of arguments: 2 expected.\
-          parts is an alias to: 'echo first %s second %s'
-
-        Note that %l and %s are mutually exclusive.  You can only use one or
-        the other in your aliases.
-
-        Aliases expand Python variables just like system calls using ! or !! 
-        do: all expressions prefixed with '$' get expanded.  For details of
-        the semantic rules, see PEP-215:
-        http://www.python.org/peps/pep-0215.html.  This is the library used by
-        IPython for variable expansion.  If you want to access a true shell
-        variable, an extra $ is necessary to prevent its expansion by IPython:
-
-        In [6]: alias show echo\
-        In [7]: PATH='A Python string'\
-        In [8]: show $PATH\
-        A Python string\
-        In [9]: show $$PATH\
-        /usr/local/lf9560/bin:/usr/local/intel/compiler70/ia32/bin:...
-
-        You can use the alias facility to acess all of $PATH.  See the %rehash
-        and %rehashx functions, which automatically create aliases for the
-        contents of your $PATH.
-
-        If called with no parameters, %alias prints the current alias table.
-
-**%autocall**::
-
-	Make functions callable without having to type parentheses.
-
-        Usage:
-
-           %autocall [mode]
-
-        The mode can be one of: 0->Off, 1->Smart, 2->Full.  If not given, the
-        value is toggled on and off (remembering the previous state).
-
-        In more detail, these values mean:
-
-        0 -> fully disabled
-
-        1 -> active, but do not apply if there are no arguments on the line.
-
-        In this mode, you get:
-
-        In [1]: callable
-        Out[1]: <built-in function callable>
-
-        In [2]: callable 'hello'
-        ------> callable('hello')
-        Out[2]: False
-
-        2 -> Active always.  Even if no arguments are present, the callable
-        object is called:
-
-        In [4]: callable
-        ------> callable()
-
-        Note that even with autocall off, you can still use '/' at the start of
-        a line to treat the first argument on the command line as a function
-        and add parentheses to it:
-
-        In [8]: /str 43
-        ------> str(43)
-        Out[8]: '43'
-
-**%autoindent**::
-
-	Toggle autoindent on/off (if available).
-
-**%automagic**::
-
-	Make magic functions callable without having to type the initial %.
-
-        Without argumentsl toggles on/off (when off, you must call it as
-        %automagic, of course).  With arguments it sets the value, and you can
-        use any of (case insensitive):
-
-         - on,1,True: to activate
-
-         - off,0,False: to deactivate.
-
-        Note that magic functions have lowest priority, so if there's a
-        variable whose name collides with that of a magic fn, automagic won't
-        work for that function (you get the variable instead). However, if you
-        delete the variable (del var), the previously shadowed magic function
-        becomes visible to automagic again.
-
-**%bg**::
-
-	Run a job in the background, in a separate thread.
-
-        For example,
-
-          %bg myfunc(x,y,z=1)
-
-        will execute 'myfunc(x,y,z=1)' in a background thread.  As soon as the
-        execution starts, a message will be printed indicating the job
-        number.  If your job number is 5, you can use
-
-          myvar = jobs.result(5)  or  myvar = jobs[5].result
-
-        to assign this result to variable 'myvar'.
-
-        IPython has a job manager, accessible via the 'jobs' object.  You can
-        type jobs? to get more information about it, and use jobs.<TAB> to see
-        its attributes.  All attributes not starting with an underscore are
-        meant for public use.
-
-        In particular, look at the jobs.new() method, which is used to create
-        new jobs.  This magic %bg function is just a convenience wrapper
-        around jobs.new(), for expression-based jobs.  If you want to create a
-        new job with an explicit function object and arguments, you must call
-        jobs.new() directly.
-
-        The jobs.new docstring also describes in detail several important
-        caveats associated with a thread-based model for background job
-        execution.  Type jobs.new? for details.
-
-        You can check the status of all jobs with jobs.status().
-
-        The jobs variable is set by IPython into the Python builtin namespace.
-        If you ever declare a variable named 'jobs', you will shadow this
-        name.  You can either delete your global jobs variable to regain
-        access to the job manager, or make a new name and assign it manually
-        to the manager (stored in IPython's namespace).  For example, to
-        assign the job manager to the Jobs name, use:
-
-          Jobs = __builtins__.jobs
-
-**%bookmark**::
-
-	Manage IPython's bookmark system.
-
-        %bookmark <name>       - set bookmark to current dir
-        %bookmark <name> <dir> - set bookmark to <dir>
-        %bookmark -l           - list all bookmarks
-        %bookmark -d <name>    - remove bookmark
-        %bookmark -r           - remove all bookmarks
-
-        You can later on access a bookmarked folder with:
-          %cd -b <name>
-        or simply '%cd <name>' if there is no directory called <name> AND
-        there is such a bookmark defined.
-
-        Your bookmarks persist through IPython sessions, but they are
-        associated with each profile.
-
-**%cd**::
-
-	Change the current working directory.
-
-        This command automatically maintains an internal list of directories
-        you visit during your IPython session, in the variable _dh. The
-        command %dhist shows this history nicely formatted. You can also
-        do 'cd -<tab>' to see directory history conveniently.
-
-        Usage:
-
-          cd 'dir': changes to directory 'dir'.
-
-          cd -: changes to the last visited directory.
-
-          cd -<n>: changes to the n-th directory in the directory history.
-
-          cd -b <bookmark_name>: jump to a bookmark set by %bookmark
-             (note: cd <bookmark_name> is enough if there is no
-              directory <bookmark_name>, but a bookmark with the name exists.)
-              'cd -b <tab>' allows you to tab-complete bookmark names. 
-
-        Options:
-
-        -q: quiet.  Do not print the working directory after the cd command is
-        executed.  By default IPython's cd command does print this directory,
-        since the default prompts do not display path information.
-        
-        Note that !cd doesn't work for this purpose because the shell where
-        !command runs is immediately discarded after executing 'command'.
-
-**%clear**::
-
-	 Clear various data (e.g. stored history data)
-    
-    %clear out - clear output history
-    %clear in  - clear input history
-    %clear shadow_compress - Compresses shadow history (to speed up ipython)
-    %clear shadow_nuke - permanently erase all entries in shadow history
-    %clear dhist - clear dir history
-
-**%color_info**::
-
-	Toggle color_info.
-
-        The color_info configuration parameter controls whether colors are
-        used for displaying object details (by things like %psource, %pfile or
-        the '?' system). This function toggles this value with each call.
-
-        Note that unless you have a fairly recent pager (less works better
-        than more) in your system, using colored object information displays
-        will not work properly. Test it and see.
-
-**%colors**::
-
-	Switch color scheme for prompts, info system and exception handlers.
-
-        Currently implemented schemes: NoColor, Linux, LightBG.
-
-        Color scheme names are not case-sensitive.
-
-**%cpaste**::
-
-	Allows you to paste & execute a pre-formatted code block from clipboard
-        
-        You must terminate the block with '--' (two minus-signs) alone on the
-        line. You can also provide your own sentinel with '%paste -s %%' ('%%' 
-        is the new sentinel for this operation)
-        
-        The block is dedented prior to execution to enable execution of method
-        definitions. '>' and '+' characters at the beginning of a line are
-        ignored, to allow pasting directly from e-mails or diff files. The
-        executed block is also assigned to variable named 'pasted_block' for
-        later editing with '%edit pasted_block'.
-        
-        You can also pass a variable name as an argument, e.g. '%cpaste foo'.
-        This assigns the pasted block to variable 'foo' as string, without 
-        dedenting or executing it.
-        
-        Do not be alarmed by garbled output on Windows (it's a readline bug). 
-        Just press enter and type -- (and press enter again) and the block 
-        will be what was just pasted.
-        
-        IPython statements (magics, shell escapes) are not supported (yet).
-
-**%debug**::
-
-	Activate the interactive debugger in post-mortem mode.
-
-        If an exception has just occurred, this lets you inspect its stack
-        frames interactively.  Note that this will always work only on the last
-        traceback that occurred, so you must call this quickly after an
-        exception that you wish to inspect has fired, because if another one
-        occurs, it clobbers the previous one.
-
-        If you want IPython to automatically do this on every exception, see
-        the %pdb magic for more details.
-
-**%dhist**::
-
-	Print your history of visited directories.
-
-        %dhist       -> print full history\
-        %dhist n     -> print last n entries only\
-        %dhist n1 n2 -> print entries between n1 and n2 (n1 not included)\
-
-        This history is automatically maintained by the %cd command, and
-        always available as the global list variable _dh. You can use %cd -<n>
-        to go to directory number <n>.
-        
-        Note that most of time, you should view directory history by entering
-        cd -<TAB>.
-
-**%dirs**::
-
-	Return the current directory stack.
-
-**%doctest_mode**::
-
-	Toggle doctest mode on and off.
-
-        This mode allows you to toggle the prompt behavior between normal
-        IPython prompts and ones that are as similar to the default IPython
-        interpreter as possible.
-
-        It also supports the pasting of code snippets that have leading '>>>'
-        and '...' prompts in them.  This means that you can paste doctests from
-        files or docstrings (even if they have leading whitespace), and the
-        code will execute correctly.  You can then use '%history -tn' to see
-        the translated history without line numbers; this will give you the
-        input after removal of all the leading prompts and whitespace, which
-        can be pasted back into an editor.
-
-        With these features, you can switch into this mode easily whenever you
-        need to do testing and changes to doctests, without having to leave
-        your existing IPython session.
-
-**%ed**::
-
-	Alias to %edit.
-
-**%edit**::
-
-	Bring up an editor and execute the resulting code.
-
-        Usage:
-          %edit [options] [args]
-
-        %edit runs IPython's editor hook.  The default version of this hook is
-        set to call the __IPYTHON__.rc.editor command.  This is read from your
-        environment variable $EDITOR.  If this isn't found, it will default to
-        vi under Linux/Unix and to notepad under Windows.  See the end of this
-        docstring for how to change the editor hook.
-
-        You can also set the value of this editor via the command line option
-        '-editor' or in your ipythonrc file. This is useful if you wish to use
-        specifically for IPython an editor different from your typical default
-        (and for Windows users who typically don't set environment variables).
-
-        This command allows you to conveniently edit multi-line code right in
-        your IPython session.
-        
-        If called without arguments, %edit opens up an empty editor with a
-        temporary file and will execute the contents of this file when you
-        close it (don't forget to save it!).
-
-
-        Options:
-
-        -n <number>: open the editor at a specified line number.  By default,
-        the IPython editor hook uses the unix syntax 'editor +N filename', but
-        you can configure this by providing your own modified hook if your
-        favorite editor supports line-number specifications with a different
-        syntax.
-        
-        -p: this will call the editor with the same data as the previous time
-        it was used, regardless of how long ago (in your current session) it
-        was.
-
-        -r: use 'raw' input.  This option only applies to input taken from the
-        user's history.  By default, the 'processed' history is used, so that
-        magics are loaded in their transformed version to valid Python.  If
-        this option is given, the raw input as typed as the command line is
-        used instead.  When you exit the editor, it will be executed by
-        IPython's own processor.
-        
-        -x: do not execute the edited code immediately upon exit. This is
-        mainly useful if you are editing programs which need to be called with
-        command line arguments, which you can then do using %run.
-
-
-        Arguments:
-
-        If arguments are given, the following possibilites exist:
-
-        - The arguments are numbers or pairs of colon-separated numbers (like
-        1 4:8 9). These are interpreted as lines of previous input to be
-        loaded into the editor. The syntax is the same of the %macro command.
-
-        - If the argument doesn't start with a number, it is evaluated as a
-        variable and its contents loaded into the editor. You can thus edit
-        any string which contains python code (including the result of
-        previous edits).
-
-        - If the argument is the name of an object (other than a string),
-        IPython will try to locate the file where it was defined and open the
-        editor at the point where it is defined. You can use `%edit function`
-        to load an editor exactly at the point where 'function' is defined,
-        edit it and have the file be executed automatically.
-
-        If the object is a macro (see %macro for details), this opens up your
-        specified editor with a temporary file containing the macro's data.
-        Upon exit, the macro is reloaded with the contents of the file.
-
-        Note: opening at an exact line is only supported under Unix, and some
-        editors (like kedit and gedit up to Gnome 2.8) do not understand the
-        '+NUMBER' parameter necessary for this feature. Good editors like
-        (X)Emacs, vi, jed, pico and joe all do.
-
-        - If the argument is not found as a variable, IPython will look for a
-        file with that name (adding .py if necessary) and load it into the
-        editor. It will execute its contents with execfile() when you exit,
-        loading any code in the file into your interactive namespace.
-
-        After executing your code, %edit will return as output the code you
-        typed in the editor (except when it was an existing file). This way
-        you can reload the code in further invocations of %edit as a variable,
-        via _<NUMBER> or Out[<NUMBER>], where <NUMBER> is the prompt number of
-        the output.
-
-        Note that %edit is also available through the alias %ed.
-
-        This is an example of creating a simple function inside the editor and
-        then modifying it. First, start up the editor:
-
-        In [1]: ed\
-        Editing... done. Executing edited code...\
-        Out[1]: 'def foo():\n    print "foo() was defined in an editing session"\n'
-
-        We can then call the function foo():
-        
-        In [2]: foo()\
-        foo() was defined in an editing session
-
-        Now we edit foo.  IPython automatically loads the editor with the
-        (temporary) file where foo() was previously defined:
-        
-        In [3]: ed foo\
-        Editing... done. Executing edited code...
-
-        And if we call foo() again we get the modified version:
-        
-        In [4]: foo()\
-        foo() has now been changed!
-
-        Here is an example of how to edit a code snippet successive
-        times. First we call the editor:
-
-        In [8]: ed\
-        Editing... done. Executing edited code...\
-        hello\
-        Out[8]: "print 'hello'\n"
-
-        Now we call it again with the previous output (stored in _):
-
-        In [9]: ed _\
-        Editing... done. Executing edited code...\
-        hello world\
-        Out[9]: "print 'hello world'\n"
-
-        Now we call it with the output #8 (stored in _8, also as Out[8]):
-
-        In [10]: ed _8\
-        Editing... done. Executing edited code...\
-        hello again\
-        Out[10]: "print 'hello again'\n"
-
-
-        Changing the default editor hook:
-
-        If you wish to write your own editor hook, you can put it in a
-        configuration file which you load at startup time.  The default hook
-        is defined in the IPython.hooks module, and you can use that as a
-        starting example for further modifications.  That file also has
-        general instructions on how to set a new hook for use once you've
-        defined it.
-
-**%env**::
-
-	List environment variables.
-
-**%exit**::
-
-	Exit IPython, confirming if configured to do so.
-
-        You can configure whether IPython asks for confirmation upon exit by
-        setting the confirm_exit flag in the ipythonrc file.
-
-**%hist**::
-
-	Alternate name for %history.
-
-**%history**::
-
-	Print input history (_i<n> variables), with most recent last.
-    
-    %history       -> print at most 40 inputs (some may be multi-line)\
-    %history n     -> print at most n inputs\
-    %history n1 n2 -> print inputs between n1 and n2 (n2 not included)\
-    
-    Each input's number <n> is shown, and is accessible as the
-    automatically generated variable _i<n>.  Multi-line statements are
-    printed starting at a new line for easy copy/paste.
-    
-
-    Options:
-
-      -n: do NOT print line numbers. This is useful if you want to get a
-      printout of many lines which can be directly pasted into a text
-      editor.
-
-      This feature is only available if numbered prompts are in use.
-
-      -t: (default) print the 'translated' history, as IPython understands it.
-      IPython filters your input and converts it all into valid Python source
-      before executing it (things like magics or aliases are turned into
-      function calls, for example). With this option, you'll see the native
-      history instead of the user-entered version: '%cd /' will be seen as
-      '_ip.magic("%cd /")' instead of '%cd /'.
-      
-      -r: print the 'raw' history, i.e. the actual commands you typed.
-      
-      -g: treat the arg as a pattern to grep for in (full) history.
-      This includes the "shadow history" (almost all commands ever written).
-      Use '%hist -g' to show full shadow history (may be very long).
-      In shadow history, every index nuwber starts with 0.
-
-      -f FILENAME: instead of printing the output to the screen, redirect it to
-       the given file.  The file is always overwritten, though IPython asks for
-       confirmation first if it already exists.
-
-**%logoff**::
-
-	Temporarily stop logging.
-
-        You must have previously started logging.
-
-**%logon**::
-
-	Restart logging.
-
-        This function is for restarting logging which you've temporarily
-        stopped with %logoff. For starting logging for the first time, you
-        must use the %logstart function, which allows you to specify an
-        optional log filename.
-
-**%logstart**::
-
-	Start logging anywhere in a session.
-
-        %logstart [-o|-r|-t] [log_name [log_mode]]
-
-        If no name is given, it defaults to a file named 'ipython_log.py' in your
-        current directory, in 'rotate' mode (see below).
-
-        '%logstart name' saves to file 'name' in 'backup' mode.  It saves your
-        history up to that point and then continues logging.
-
-        %logstart takes a second optional parameter: logging mode. This can be one
-        of (note that the modes are given unquoted):\
-          append: well, that says it.\
-          backup: rename (if exists) to name~ and start name.\
-          global: single logfile in your home dir, appended to.\
-          over  : overwrite existing log.\
-          rotate: create rotating logs name.1~, name.2~, etc.
-
-        Options:
-
-          -o: log also IPython's output.  In this mode, all commands which
-          generate an Out[NN] prompt are recorded to the logfile, right after
-          their corresponding input line.  The output lines are always
-          prepended with a '#[Out]# ' marker, so that the log remains valid
-          Python code.
-
-          Since this marker is always the same, filtering only the output from
-          a log is very easy, using for example a simple awk call:
-
-            awk -F'#\[Out\]# ' '{if($2) {print $2}}' ipython_log.py
-
-          -r: log 'raw' input.  Normally, IPython's logs contain the processed
-          input, so that user lines are logged in their final form, converted
-          into valid Python.  For example, %Exit is logged as
-          '_ip.magic("Exit").  If the -r flag is given, all input is logged
-          exactly as typed, with no transformations applied.
-
-          -t: put timestamps before each input line logged (these are put in
-          comments).
-
-**%logstate**::
-
-	Print the status of the logging system.
-
-**%logstop**::
-
-	Fully stop logging and close log file.
-
-        In order to start logging again, a new %logstart call needs to be made,
-        possibly (though not necessarily) with a new filename, mode and other
-        options.
-
-**%lsmagic**::
-
-	List currently available magic functions.
-
-**%macro**::
-
-	Define a set of input lines as a macro for future re-execution.
-
-        Usage:\
-          %macro [options] name n1-n2 n3-n4 ... n5 .. n6 ...
-
-        Options:
-        
-          -r: use 'raw' input.  By default, the 'processed' history is used,
-          so that magics are loaded in their transformed version to valid
-          Python.  If this option is given, the raw input as typed as the
-          command line is used instead.
-
-        This will define a global variable called `name` which is a string
-        made of joining the slices and lines you specify (n1,n2,... numbers
-        above) from your input history into a single string. This variable
-        acts like an automatic function which re-executes those lines as if
-        you had typed them. You just type 'name' at the prompt and the code
-        executes.
-
-        The notation for indicating number ranges is: n1-n2 means 'use line
-        numbers n1,...n2' (the endpoint is included).  That is, '5-7' means
-        using the lines numbered 5,6 and 7.
-
-        Note: as a 'hidden' feature, you can also use traditional python slice
-        notation, where N:M means numbers N through M-1.
-
-        For example, if your history contains (%hist prints it):
-        
-          44: x=1\
-          45: y=3\
-          46: z=x+y\
-          47: print x\
-          48: a=5\
-          49: print 'x',x,'y',y\
-
-        you can create a macro with lines 44 through 47 (included) and line 49
-        called my_macro with:
-
-          In [51]: %macro my_macro 44-47 49
-
-        Now, typing `my_macro` (without quotes) will re-execute all this code
-        in one pass.
-
-        You don't need to give the line-numbers in order, and any given line
-        number can appear multiple times. You can assemble macros with any
-        lines from your input history in any order.
-
-        The macro is a simple object which holds its value in an attribute,
-        but IPython's display system checks for macros and executes them as
-        code instead of printing them when you type their name.
-
-        You can view a macro's contents by explicitly printing it with:
-        
-          'print macro_name'.
-
-        For one-off cases which DON'T contain magic function calls in them you
-        can obtain similar results by explicitly executing slices from your
-        input history with:
-
-          In [60]: exec In[44:48]+In[49]
-
-**%magic**::
-
-	Print information about the magic function system.
-
-**%mglob**::
-
-	    This program allows specifying filenames with "mglob" mechanism.
-    Supported syntax in globs (wilcard matching patterns)::
-    
-     *.cpp ?ellowo*                
-         - obvious. Differs from normal glob in that dirs are not included.
-           Unix users might want to write this as: "*.cpp" "?ellowo*"
-     rec:/usr/share=*.txt,*.doc    
-         - get all *.txt and *.doc under /usr/share, 
-           recursively
-     rec:/usr/share
-         - All files under /usr/share, recursively
-     rec:*.py
-         - All .py files under current working dir, recursively
-     foo                           
-         - File or dir foo
-     !*.bak readme*                   
-         - readme*, exclude files ending with .bak
-     !.svn/ !.hg/ !*_Data/ rec:.
-         - Skip .svn, .hg, foo_Data dirs (and their subdirs) in recurse.
-           Trailing / is the key, \ does not work!
-     dir:foo                       
-         - the directory foo if it exists (not files in foo)
-     dir:*                         
-         - all directories in current folder
-     foo.py bar.* !h* rec:*.py
-         - Obvious. !h* exclusion only applies for rec:*.py.
-           foo.py is *not* included twice.
-     @filelist.txt
-         - All files listed in 'filelist.txt' file, on separate lines.
-
-**%page**::
-
-	Pretty print the object and display it through a pager.
-        
-        %page [options] OBJECT
-
-        If no object is given, use _ (last output).
-        
-        Options:
-
-          -r: page str(object), don't pretty-print it.
-
-**%pdb**::
-
-	Control the automatic calling of the pdb interactive debugger.
-
-        Call as '%pdb on', '%pdb 1', '%pdb off' or '%pdb 0'. If called without
-        argument it works as a toggle.
-
-        When an exception is triggered, IPython can optionally call the
-        interactive pdb debugger after the traceback printout. %pdb toggles
-        this feature on and off.
-
-        The initial state of this feature is set in your ipythonrc
-        configuration file (the variable is called 'pdb').
-
-        If you want to just activate the debugger AFTER an exception has fired,
-        without having to type '%pdb on' and rerunning your code, you can use
-        the %debug magic.
-
-**%pdef**::
-
-	Print the definition header for any callable object.
-
-        If the object is a class, print the constructor information.
-
-**%pdoc**::
-
-	Print the docstring for an object.
-
-        If the given object is a class, it will print both the class and the
-        constructor docstrings.
-
-**%pfile**::
-
-	Print (or run through pager) the file where an object is defined.
-
-        The file opens at the line where the object definition begins. IPython
-        will honor the environment variable PAGER if set, and otherwise will
-        do its best to print the file in a convenient form.
-
-        If the given argument is not an object currently defined, IPython will
-        try to interpret it as a filename (automatically adding a .py extension
-        if needed). You can thus use %pfile as a syntax highlighting code
-        viewer.
-
-**%pinfo**::
-
-	Provide detailed information about an object.
-    
-        '%pinfo object' is just a synonym for object? or ?object.
-
-**%popd**::
-
-	Change to directory popped off the top of the stack.
-
-**%profile**::
-
-	Print your currently active IPyhton profile.
-
-**%prun**::
-
-	Run a statement through the python code profiler.
-
-        Usage:\
-          %prun [options] statement
-
-        The given statement (which doesn't require quote marks) is run via the
-        python profiler in a manner similar to the profile.run() function.
-        Namespaces are internally managed to work correctly; profile.run
-        cannot be used in IPython because it makes certain assumptions about
-        namespaces which do not hold under IPython.
-
-        Options:
-
-        -l <limit>: you can place restrictions on what or how much of the
-        profile gets printed. The limit value can be:
-
-          * A string: only information for function names containing this string
-          is printed.
-
-          * An integer: only these many lines are printed.
-
-          * A float (between 0 and 1): this fraction of the report is printed
-          (for example, use a limit of 0.4 to see the topmost 40% only).
-
-        You can combine several limits with repeated use of the option. For
-        example, '-l __init__ -l 5' will print only the topmost 5 lines of
-        information about class constructors.
-
-        -r: return the pstats.Stats object generated by the profiling. This
-        object has all the information about the profile in it, and you can
-        later use it for further analysis or in other functions.
-
-       -s <key>: sort profile by given key. You can provide more than one key
-        by using the option several times: '-s key1 -s key2 -s key3...'. The
-        default sorting key is 'time'.
-
-        The following is copied verbatim from the profile documentation
-        referenced below:
-
-        When more than one key is provided, additional keys are used as
-        secondary criteria when the there is equality in all keys selected
-        before them.
-        
-        Abbreviations can be used for any key names, as long as the
-        abbreviation is unambiguous.  The following are the keys currently
-        defined:
-
-                Valid Arg       Meaning\
-                  "calls"      call count\
-                  "cumulative" cumulative time\
-                  "file"       file name\
-                  "module"     file name\
-                  "pcalls"     primitive call count\
-                  "line"       line number\
-                  "name"       function name\
-                  "nfl"        name/file/line\
-                  "stdname"    standard name\
-                  "time"       internal time
-
-        Note that all sorts on statistics are in descending order (placing
-        most time consuming items first), where as name, file, and line number
-        searches are in ascending order (i.e., alphabetical). The subtle
-        distinction between "nfl" and "stdname" is that the standard name is a
-        sort of the name as printed, which means that the embedded line
-        numbers get compared in an odd way.  For example, lines 3, 20, and 40
-        would (if the file names were the same) appear in the string order
-        "20" "3" and "40".  In contrast, "nfl" does a numeric compare of the
-        line numbers.  In fact, sort_stats("nfl") is the same as
-        sort_stats("name", "file", "line").
-
-        -T <filename>: save profile results as shown on screen to a text
-        file. The profile is still shown on screen.
-
-        -D <filename>: save (via dump_stats) profile statistics to given
-        filename. This data is in a format understod by the pstats module, and
-        is generated by a call to the dump_stats() method of profile
-        objects. The profile is still shown on screen.
-
-        If you want to run complete programs under the profiler's control, use
-        '%run -p [prof_opts] filename.py [args to program]' where prof_opts
-        contains profiler specific options as described here.
-        
-        You can read the complete documentation for the profile module with:\
-          In [1]: import profile; profile.help()
-
-**%psearch**::
-
-	Search for object in namespaces by wildcard.
-
-        %psearch [options] PATTERN [OBJECT TYPE]
-
-        Note: ? can be used as a synonym for %psearch, at the beginning or at
-        the end: both a*? and ?a* are equivalent to '%psearch a*'.  Still, the
-        rest of the command line must be unchanged (options come first), so
-        for example the following forms are equivalent
-
-        %psearch -i a* function
-        -i a* function?
-        ?-i a* function
-
-        Arguments:
-        
-          PATTERN
-
-          where PATTERN is a string containing * as a wildcard similar to its
-          use in a shell.  The pattern is matched in all namespaces on the
-          search path. By default objects starting with a single _ are not
-          matched, many IPython generated objects have a single
-          underscore. The default is case insensitive matching. Matching is
-          also done on the attributes of objects and not only on the objects
-          in a module.
-
-          [OBJECT TYPE]
-
-          Is the name of a python type from the types module. The name is
-          given in lowercase without the ending type, ex. StringType is
-          written string. By adding a type here only objects matching the
-          given type are matched. Using all here makes the pattern match all
-          types (this is the default).
-
-        Options:
-
-          -a: makes the pattern match even objects whose names start with a
-          single underscore.  These names are normally ommitted from the
-          search.
-
-          -i/-c: make the pattern case insensitive/sensitive.  If neither of
-          these options is given, the default is read from your ipythonrc
-          file.  The option name which sets this value is
-          'wildcards_case_sensitive'.  If this option is not specified in your
-          ipythonrc file, IPython's internal default is to do a case sensitive
-          search.
-
-          -e/-s NAMESPACE: exclude/search a given namespace.  The pattern you
-          specifiy can be searched in any of the following namespaces:
-          'builtin', 'user', 'user_global','internal', 'alias', where
-          'builtin' and 'user' are the search defaults.  Note that you should
-          not use quotes when specifying namespaces.
-
-          'Builtin' contains the python module builtin, 'user' contains all
-          user data, 'alias' only contain the shell aliases and no python
-          objects, 'internal' contains objects used by IPython.  The
-          'user_global' namespace is only used by embedded IPython instances,
-          and it contains module-level globals.  You can add namespaces to the
-          search with -s or exclude them with -e (these options can be given
-          more than once).
-    
-        Examples:
-       
-        %psearch a*            -> objects beginning with an a
-        %psearch -e builtin a* -> objects NOT in the builtin space starting in a
-        %psearch a* function   -> all functions beginning with an a
-        %psearch re.e*         -> objects beginning with an e in module re
-        %psearch r*.e*         -> objects that start with e in modules starting in r
-        %psearch r*.* string   -> all strings in modules beginning with r
-
-        Case sensitve search:
-       
-        %psearch -c a*         list all object beginning with lower case a
-
-        Show objects beginning with a single _:
-       
-        %psearch -a _*         list objects beginning with a single underscore
-
-**%psource**::
-
-	Print (or run through pager) the source code for an object.
-
-**%pushd**::
-
-	Place the current dir on stack and change directory.
-        
-        Usage:\
-          %pushd ['dirname']
-
-**%pwd**::
-
-	Return the current working directory path.
-
-**%pycat**::
-
-	Show a syntax-highlighted file through a pager.
-
-        This magic is similar to the cat utility, but it will assume the file
-        to be Python source and will show it with syntax highlighting.
-
-**%quickref**::
-
-	 Show a quick reference sheet
-
-**%quit**::
-
-	Exit IPython, confirming if configured to do so (like %exit)
-
-**%r**::
-
-	Repeat previous input.
-
-        Note: Consider using the more powerfull %rep instead!
-        
-        If given an argument, repeats the previous command which starts with
-        the same string, otherwise it just repeats the previous input.
-
-        Shell escaped commands (with ! as first character) are not recognized
-        by this system, only pure python code and magic commands.
-
-**%rehashdir**::
-
-	 Add executables in all specified dirs to alias table
-     
-    Usage:
-
-    %rehashdir c:/bin;c:/tools
-      - Add all executables under c:/bin and c:/tools to alias table, in 
-      order to make them directly executable from any directory.
-        
-      Without arguments, add all executables in current directory.
-
-**%rehashx**::
-
-	Update the alias table with all executable files in $PATH.
-
-        This version explicitly checks that every entry in $PATH is a file
-        with execute access (os.X_OK), so it is much slower than %rehash.
-
-        Under Windows, it checks executability as a match agains a
-        '|'-separated string of extensions, stored in the IPython config
-        variable win_exec_ext.  This defaults to 'exe|com|bat'.
-        
-        This function also resets the root module cache of module completer,
-        used on slow filesystems.
-
-**%rep**::
-
-	 Repeat a command, or get command to input line for editing
-
-    - %rep (no arguments):
-    
-    Place a string version of last computation result (stored in the special '_'
-    variable) to the next input prompt. Allows you to create elaborate command
-    lines without using copy-paste::
-    
-        $ l = ["hei", "vaan"]       
-        $ "".join(l)        
-        ==> heivaan        
-        $ %rep        
-        $ heivaan_ <== cursor blinking    
-    
-    %rep 45
-    
-    Place history line 45 to next input prompt. Use %hist to find out the
-    number.
-    
-    %rep 1-4 6-7 3
-    
-    Repeat the specified lines immediately. Input slice syntax is the same as
-    in %macro and %save.
-    
-    %rep foo
-    
-    Place the most recent line that has the substring "foo" to next input.
-    (e.g. 'svn ci -m foobar').
-
-**%reset**::
-
-	Resets the namespace by removing all names defined by the user.
-
-        Input/Output history are left around in case you need them.
-
-**%run**::
-
-	Run the named file inside IPython as a program.
-
-        Usage:\
-          %run [-n -i -t [-N<N>] -d [-b<N>] -p [profile options]] file [args]
-        
-        Parameters after the filename are passed as command-line arguments to
-        the program (put in sys.argv). Then, control returns to IPython's
-        prompt.
-
-        This is similar to running at a system prompt:\
-          $ python file args\
-        but with the advantage of giving you IPython's tracebacks, and of
-        loading all variables into your interactive namespace for further use
-        (unless -p is used, see below).
-
-        The file is executed in a namespace initially consisting only of
-        __name__=='__main__' and sys.argv constructed as indicated. It thus
-        sees its environment as if it were being run as a stand-alone program
-        (except for sharing global objects such as previously imported
-        modules). But after execution, the IPython interactive namespace gets
-        updated with all variables defined in the program (except for __name__
-        and sys.argv). This allows for very convenient loading of code for
-        interactive work, while giving each program a 'clean sheet' to run in.
-
-        Options:
-        
-        -n: __name__ is NOT set to '__main__', but to the running file's name
-        without extension (as python does under import).  This allows running
-        scripts and reloading the definitions in them without calling code
-        protected by an ' if __name__ == "__main__" ' clause.
-
-        -i: run the file in IPython's namespace instead of an empty one. This
-        is useful if you are experimenting with code written in a text editor
-        which depends on variables defined interactively.
-
-        -e: ignore sys.exit() calls or SystemExit exceptions in the script
-        being run.  This is particularly useful if IPython is being used to
-        run unittests, which always exit with a sys.exit() call.  In such
-        cases you are interested in the output of the test results, not in
-        seeing a traceback of the unittest module.
-
-        -t: print timing information at the end of the run.  IPython will give
-        you an estimated CPU time consumption for your script, which under
-        Unix uses the resource module to avoid the wraparound problems of
-        time.clock().  Under Unix, an estimate of time spent on system tasks
-        is also given (for Windows platforms this is reported as 0.0).
-
-        If -t is given, an additional -N<N> option can be given, where <N>
-        must be an integer indicating how many times you want the script to
-        run.  The final timing report will include total and per run results.
-
-        For example (testing the script uniq_stable.py):
-
-            In [1]: run -t uniq_stable
-
-            IPython CPU timings (estimated):\
-              User  :    0.19597 s.\
-              System:        0.0 s.\
-
-            In [2]: run -t -N5 uniq_stable
-
-            IPython CPU timings (estimated):\
-            Total runs performed: 5\
-              Times :      Total       Per run\
-              User  :   0.910862 s,  0.1821724 s.\
-              System:        0.0 s,        0.0 s.
-
-        -d: run your program under the control of pdb, the Python debugger.
-        This allows you to execute your program step by step, watch variables,
-        etc.  Internally, what IPython does is similar to calling:
-        
-          pdb.run('execfile("YOURFILENAME")')
-
-        with a breakpoint set on line 1 of your file.  You can change the line
-        number for this automatic breakpoint to be <N> by using the -bN option
-        (where N must be an integer).  For example:
-
-          %run -d -b40 myscript
-
-        will set the first breakpoint at line 40 in myscript.py.  Note that
-        the first breakpoint must be set on a line which actually does
-        something (not a comment or docstring) for it to stop execution.
-
-        When the pdb debugger starts, you will see a (Pdb) prompt.  You must
-        first enter 'c' (without qoutes) to start execution up to the first
-        breakpoint.
-
-        Entering 'help' gives information about the use of the debugger.  You
-        can easily see pdb's full documentation with "import pdb;pdb.help()"
-        at a prompt.
-
-        -p: run program under the control of the Python profiler module (which
-        prints a detailed report of execution times, function calls, etc).
-
-        You can pass other options after -p which affect the behavior of the
-        profiler itself. See the docs for %prun for details.
-
-        In this mode, the program's variables do NOT propagate back to the
-        IPython interactive namespace (because they remain in the namespace
-        where the profiler executes them).
-
-        Internally this triggers a call to %prun, see its documentation for
-        details on the options available specifically for profiling.
-
-        There is one special usage for which the text above doesn't apply:
-        if the filename ends with .ipy, the file is run as ipython script,
-        just as if the commands were written on IPython prompt.
-
-**%runlog**::
-
-	Run files as logs.
-
-        Usage:\
-          %runlog file1 file2 ...
-
-        Run the named files (treating them as log files) in sequence inside
-        the interpreter, and return to the prompt.  This is much slower than
-        %run because each line is executed in a try/except block, but it
-        allows running files with syntax errors in them.
-
-        Normally IPython will guess when a file is one of its own logfiles, so
-        you can typically use %run even for logs. This shorthand allows you to
-        force any file to be treated as a log file.
-
-**%save**::
-
-	Save a set of lines to a given filename.
-
-        Usage:\
-          %save [options] filename n1-n2 n3-n4 ... n5 .. n6 ...
-
-        Options:
-        
-          -r: use 'raw' input.  By default, the 'processed' history is used,
-          so that magics are loaded in their transformed version to valid
-          Python.  If this option is given, the raw input as typed as the
-          command line is used instead.
-
-        This function uses the same syntax as %macro for line extraction, but
-        instead of creating a macro it saves the resulting string to the
-        filename you specify.
-
-        It adds a '.py' extension to the file if you don't do so yourself, and
-        it asks for confirmation before overwriting existing files.
-
-**%sc**::
-
-	Shell capture - execute a shell command and capture its output.
-
-        DEPRECATED. Suboptimal, retained for backwards compatibility.
-        
-        You should use the form 'var = !command' instead. Example:
-         
-         "%sc -l myfiles = ls ~" should now be written as
-            
-         "myfiles = !ls ~"
-         
-        myfiles.s, myfiles.l and myfiles.n still apply as documented
-        below.
-
-        --
-        %sc [options] varname=command
-
-        IPython will run the given command using commands.getoutput(), and
-        will then update the user's interactive namespace with a variable
-        called varname, containing the value of the call.  Your command can
-        contain shell wildcards, pipes, etc.
-
-        The '=' sign in the syntax is mandatory, and the variable name you
-        supply must follow Python's standard conventions for valid names.
-        
-        (A special format without variable name exists for internal use)
-
-        Options:
-
-          -l: list output.  Split the output on newlines into a list before
-          assigning it to the given variable.  By default the output is stored
-          as a single string.
-
-          -v: verbose.  Print the contents of the variable.
-
-        In most cases you should not need to split as a list, because the
-        returned value is a special type of string which can automatically
-        provide its contents either as a list (split on newlines) or as a
-        space-separated string.  These are convenient, respectively, either
-        for sequential processing or to be passed to a shell command.
-
-        For example:
-
-            # Capture into variable a
-            In [9]: sc a=ls *py
-
-            # a is a string with embedded newlines
-            In [10]: a
-            Out[10]: 'setup.py win32_manual_post_install.py'
-
-            # which can be seen as a list:
-            In [11]: a.l
-            Out[11]: ['setup.py', 'win32_manual_post_install.py']
-
-            # or as a whitespace-separated string:
-            In [12]: a.s
-            Out[12]: 'setup.py win32_manual_post_install.py'
-
-            # a.s is useful to pass as a single command line:
-            In [13]: !wc -l $a.s
-              146 setup.py
-              130 win32_manual_post_install.py
-              276 total
-
-            # while the list form is useful to loop over:
-            In [14]: for f in a.l:
-               ....:      !wc -l $f
-               ....:
-            146 setup.py
-            130 win32_manual_post_install.py
-
-        Similiarly, the lists returned by the -l option are also special, in
-        the sense that you can equally invoke the .s attribute on them to
-        automatically get a whitespace-separated string from their contents:
-
-            In [1]: sc -l b=ls *py
-
-            In [2]: b
-            Out[2]: ['setup.py', 'win32_manual_post_install.py']
-
-            In [3]: b.s
-            Out[3]: 'setup.py win32_manual_post_install.py'
-
-        In summary, both the lists and strings used for ouptut capture have
-        the following special attributes:
-
-            .l (or .list) : value as list.
-            .n (or .nlstr): value as newline-separated string.
-            .s (or .spstr): value as space-separated string.
-
-**%store**::
-
-	Lightweight persistence for python variables.
-
-    Example:
-    
-    ville@badger[~]|1> A = ['hello',10,'world']\
-    ville@badger[~]|2> %store A\
-    ville@badger[~]|3> Exit
-    
-    (IPython session is closed and started again...)
-    
-    ville@badger:~$ ipython -p pysh\
-    ville@badger[~]|1> print A
-    
-    ['hello', 10, 'world']
-    
-    Usage:
-    
-    %store          - Show list of all variables and their current values\
-    %store <var>    - Store the *current* value of the variable to disk\
-    %store -d <var> - Remove the variable and its value from storage\
-    %store -z       - Remove all variables from storage\
-    %store -r       - Refresh all variables from store (delete current vals)\
-    %store foo >a.txt  - Store value of foo to new file a.txt\
-    %store foo >>a.txt - Append value of foo to file a.txt\   
-    
-    It should be noted that if you change the value of a variable, you
-    need to %store it again if you want to persist the new value.
-    
-    Note also that the variables will need to be pickleable; most basic
-    python types can be safely %stored.
-    
-    Also aliases can be %store'd across sessions.
-
-**%sx**::
-
-	Shell execute - run a shell command and capture its output.
-
-        %sx command
-
-        IPython will run the given command using commands.getoutput(), and
-        return the result formatted as a list (split on '\n').  Since the
-        output is _returned_, it will be stored in ipython's regular output
-        cache Out[N] and in the '_N' automatic variables.
-
-        Notes:
-
-        1) If an input line begins with '!!', then %sx is automatically
-        invoked.  That is, while:
-          !ls
-        causes ipython to simply issue system('ls'), typing
-          !!ls
-        is a shorthand equivalent to:
-          %sx ls
-        
-        2) %sx differs from %sc in that %sx automatically splits into a list,
-        like '%sc -l'.  The reason for this is to make it as easy as possible
-        to process line-oriented shell output via further python commands.
-        %sc is meant to provide much finer control, but requires more
-        typing.
-
-        3) Just like %sc -l, this is a list with special attributes:
-
-          .l (or .list) : value as list.
-          .n (or .nlstr): value as newline-separated string.
-          .s (or .spstr): value as whitespace-separated string.
-
-        This is very useful when trying to use such lists as arguments to
-        system commands.
-
-**%system_verbose**::
-
-	Set verbose printing of system calls.
-
-        If called without an argument, act as a toggle
-
-**%time**::
-
-	Time execution of a Python statement or expression.
-
-        The CPU and wall clock times are printed, and the value of the
-        expression (if any) is returned.  Note that under Win32, system time
-        is always reported as 0, since it can not be measured.
-
-        This function provides very basic timing functionality.  In Python
-        2.3, the timeit module offers more control and sophistication, so this
-        could be rewritten to use it (patches welcome).
-        
-        Some examples:
-
-          In [1]: time 2**128
-          CPU times: user 0.00 s, sys: 0.00 s, total: 0.00 s
-          Wall time: 0.00
-          Out[1]: 340282366920938463463374607431768211456L
-
-          In [2]: n = 1000000
-
-          In [3]: time sum(range(n))
-          CPU times: user 1.20 s, sys: 0.05 s, total: 1.25 s
-          Wall time: 1.37
-          Out[3]: 499999500000L
-
-          In [4]: time print 'hello world'
-          hello world
-          CPU times: user 0.00 s, sys: 0.00 s, total: 0.00 s
-          Wall time: 0.00
-
-          Note that the time needed by Python to compile the given expression
-          will be reported if it is more than 0.1s.  In this example, the
-          actual exponentiation is done by Python at compilation time, so while
-          the expression can take a noticeable amount of time to compute, that
-          time is purely due to the compilation:
-
-          In [5]: time 3**9999;
-          CPU times: user 0.00 s, sys: 0.00 s, total: 0.00 s
-          Wall time: 0.00 s
-
-          In [6]: time 3**999999;
-          CPU times: user 0.00 s, sys: 0.00 s, total: 0.00 s
-          Wall time: 0.00 s
-          Compiler : 0.78 s
-
-**%timeit**::
-
-	Time execution of a Python statement or expression
-
-        Usage:\
-          %timeit [-n<N> -r<R> [-t|-c]] statement
-
-        Time execution of a Python statement or expression using the timeit
-        module.
-
-        Options:
-        -n<N>: execute the given statement <N> times in a loop. If this value
-        is not given, a fitting value is chosen. 
-        
-        -r<R>: repeat the loop iteration <R> times and take the best result.
-        Default: 3
-        
-        -t: use time.time to measure the time, which is the default on Unix.
-        This function measures wall time.
-        
-        -c: use time.clock to measure the time, which is the default on
-        Windows and measures wall time. On Unix, resource.getrusage is used
-        instead and returns the CPU user time.
-
-        -p<P>: use a precision of <P> digits to display the timing result.
-        Default: 3
-
-        
-        Examples:\
-          In [1]: %timeit pass
-          10000000 loops, best of 3: 53.3 ns per loop
-
-          In [2]: u = None
-
-          In [3]: %timeit u is None
-          10000000 loops, best of 3: 184 ns per loop
-
-          In [4]: %timeit -r 4 u == None
-          1000000 loops, best of 4: 242 ns per loop
-
-          In [5]: import time
-
-          In [6]: %timeit -n1 time.sleep(2)
-          1 loops, best of 3: 2 s per loop
-          
-
-        The times reported by %timeit will be slightly higher than those
-        reported by the timeit.py script when variables are accessed. This is
-        due to the fact that %timeit executes the statement in the namespace
-        of the shell, compared with timeit.py, which uses a single setup
-        statement to import function or create variables. Generally, the bias
-        does not matter as long as results from timeit.py are not mixed with
-        those from %timeit.
-
-**%unalias**::
-
-	Remove an alias
-
-**%upgrade**::
-
-	 Upgrade your IPython installation
-        
-        This will copy the config files that don't yet exist in your 
-        ipython dir from the system config dir. Use this after upgrading 
-        IPython if you don't wish to delete your .ipython dir.
-
-        Call with -nolegacy to get rid of ipythonrc* files (recommended for
-        new users)
-
-**%which**::
-
-	 %which <cmd> => search PATH for files matching cmd. Also scans aliases.
-
-    Traverses PATH and prints all files (not just executables!) that match the
-    pattern on command line. Probably more useful in finding stuff
-    interactively than 'which', which only prints the first matching item.
-    
-    Also discovers and expands aliases, so you'll see what will be executed
-    when you call an alias.
-    
-    Example:
-    
-    [~]|62> %which d
-    d -> ls -F --color=auto
-      == c:\cygwin\bin\ls.exe
-    c:\cygwin\bin\d.exe
-    
-    [~]|64> %which diff*
-    diff3 -> diff3
-      == c:\cygwin\bin\diff3.exe
-    diff -> diff
-      == c:\cygwin\bin\diff.exe
-    c:\cygwin\bin\diff.exe
-    c:\cygwin\bin\diff3.exe
-
-**%who**::
-
-	Print all interactive variables, with some minimal formatting.
-
-        If any arguments are given, only variables whose type matches one of
-        these are printed.  For example:
-
-          %who function str
-
-        will only list functions and strings, excluding all other types of
-        variables.  To find the proper type names, simply use type(var) at a
-        command line to see how python prints type names.  For example:
-
-          In [1]: type('hello')\
-          Out[1]: <type 'str'>
-
-        indicates that the type name for strings is 'str'.
-
-        %who always excludes executed names loaded through your configuration
-        file and things which are internal to IPython.
-
-        This is deliberate, as typically you may load many modules and the
-        purpose of %who is to show you only what you've manually defined.
-
-**%who_ls**::
-
-	Return a sorted list of all interactive variables.
-
-        If arguments are given, only variables of types matching these
-        arguments are returned.
-
-**%whos**::
-
-	Like %who, but gives some extra information about each variable.
-
-        The same type filtering of %who can be applied here.
-
-        For all variables, the type is printed. Additionally it prints:
-        
-          - For {},[],(): their length.
-
-          - For numpy and Numeric arrays, a summary with shape, number of
-          elements, typecode and size in memory.
-
-          - Everything else: a string representation, snipping their middle if
-          too long.
-
-**%xmode**::
-
-	Switch modes for the exception handlers.
-
-        Valid modes: Plain, Context and Verbose.
-
-        If called without arguments, acts as a toggle.
-
-.. magic_end
-
-Access to the standard Python help
-----------------------------------
-
-As of Python 2.1, a help system is available with access to object
-docstrings and the Python manuals. Simply type 'help' (no quotes) to
-access it. You can also type help(object) to obtain information about a
-given object, and help('keyword') for information on a keyword. As noted
-in sec. `accessing help`_, you need to properly configure
-your environment variable PYTHONDOCS for this feature to work correctly.
-
-
-Dynamic object information
---------------------------
-
-Typing ?word or word? prints detailed information about an object. If
-certain strings in the object are too long (docstrings, code, etc.) they
-get snipped in the center for brevity. This system gives access variable
-types and values, full source code for any object (if available),
-function prototypes and other useful information.
-
-Typing ??word or word?? gives access to the full information without
-snipping long strings. Long strings are sent to the screen through the
-less pager if longer than the screen and printed otherwise. On systems
-lacking the less command, IPython uses a very basic internal pager.
-
-The following magic functions are particularly useful for gathering
-information about your working environment. You can get more details by
-typing %magic or querying them individually (use %function_name? with or
-without the %), this is just a summary:
-
-    * **%pdoc <object>**: Print (or run through a pager if too long) the
-      docstring for an object. If the given object is a class, it will
-      print both the class and the constructor docstrings.
-    * **%pdef <object>**: Print the definition header for any callable
-      object. If the object is a class, print the constructor information.
-    * **%psource <object>**: Print (or run through a pager if too long)
-      the source code for an object.
-    * **%pfile <object>**: Show the entire source file where an object was
-      defined via a pager, opening it at the line where the object
-      definition begins.
-    * **%who/%whos**: These functions give information about identifiers
-      you have defined interactively (not things you loaded or defined
-      in your configuration files). %who just prints a list of
-      identifiers and %whos prints a table with some basic details about
-      each identifier.
-
-Note that the dynamic object information functions (?/??, %pdoc, %pfile,
-%pdef, %psource) give you access to documentation even on things which
-are not really defined as separate identifiers. Try for example typing
-{}.get? or after doing import os, type os.path.abspath??.
-
-
-.. _Readline:
-
-Readline-based features
------------------------
-
-These features require the GNU readline library, so they won't work if
-your Python installation lacks readline support. We will first describe
-the default behavior IPython uses, and then how to change it to suit
-your preferences.
-
-
-Command line completion
-+++++++++++++++++++++++
-
-At any time, hitting TAB will complete any available python commands or
-variable names, and show you a list of the possible completions if
-there's no unambiguous one. It will also complete filenames in the
-current directory if no python names match what you've typed so far.
-
-
-Search command history
-++++++++++++++++++++++
-
-IPython provides two ways for searching through previous input and thus
-reduce the need for repetitive typing:
-
-   1. Start typing, and then use Ctrl-p (previous,up) and Ctrl-n
-      (next,down) to search through only the history items that match
-      what you've typed so far. If you use Ctrl-p/Ctrl-n at a blank
-      prompt, they just behave like normal arrow keys.
-   2. Hit Ctrl-r: opens a search prompt. Begin typing and the system
-      searches your history for lines that contain what you've typed so
-      far, completing as much as it can.
-
-
-Persistent command history across sessions
-++++++++++++++++++++++++++++++++++++++++++
-
-IPython will save your input history when it leaves and reload it next
-time you restart it. By default, the history file is named
-$IPYTHONDIR/history, but if you've loaded a named profile,
-'-PROFILE_NAME' is appended to the name. This allows you to keep
-separate histories related to various tasks: commands related to
-numerical work will not be clobbered by a system shell history, for
-example.
-
-
-Autoindent
-++++++++++
-
-IPython can recognize lines ending in ':' and indent the next line,
-while also un-indenting automatically after 'raise' or 'return'.
-
-This feature uses the readline library, so it will honor your ~/.inputrc
-configuration (or whatever file your INPUTRC variable points to). Adding
-the following lines to your .inputrc file can make indenting/unindenting
-more convenient (M-i indents, M-u unindents)::
-
-    $if Python 
-    "\M-i": "    "  
-    "\M-u": "\d\d\d\d"  
-    $endif
-
-Note that there are 4 spaces between the quote marks after "M-i" above.
-
-Warning: this feature is ON by default, but it can cause problems with
-the pasting of multi-line indented code (the pasted code gets
-re-indented on each line). A magic function %autoindent allows you to
-toggle it on/off at runtime. You can also disable it permanently on in
-your ipythonrc file (set autoindent 0).
-
-
-Customizing readline behavior
-+++++++++++++++++++++++++++++
-
-All these features are based on the GNU readline library, which has an
-extremely customizable interface. Normally, readline is configured via a
-file which defines the behavior of the library; the details of the
-syntax for this can be found in the readline documentation available
-with your system or on the Internet. IPython doesn't read this file (if
-it exists) directly, but it does support passing to readline valid
-options via a simple interface. In brief, you can customize readline by
-setting the following options in your ipythonrc configuration file (note
-that these options can not be specified at the command line):
-
-    * **readline_parse_and_bind**: this option can appear as many times as
-      you want, each time defining a string to be executed via a
-      readline.parse_and_bind() command. The syntax for valid commands
-      of this kind can be found by reading the documentation for the GNU
-      readline library, as these commands are of the kind which readline
-      accepts in its configuration file.
-    * **readline_remove_delims**: a string of characters to be removed
-      from the default word-delimiters list used by readline, so that
-      completions may be performed on strings which contain them. Do not
-      change the default value unless you know what you're doing.
-    * **readline_omit__names**: when tab-completion is enabled, hitting
-      <tab> after a '.' in a name will complete all attributes of an
-      object, including all the special methods whose names include
-      double underscores (like __getitem__ or __class__). If you'd
-      rather not see these names by default, you can set this option to
-      1. Note that even when this option is set, you can still see those
-      names by explicitly typing a _ after the period and hitting <tab>:
-      'name._<tab>' will always complete attribute names starting with '_'.
-      
-      This option is off by default so that new users see all
-      attributes of any objects they are dealing with.
-
-You will find the default values along with a corresponding detailed
-explanation in your ipythonrc file.
-
-
-Session logging and restoring
------------------------------
-
-You can log all input from a session either by starting IPython with
-the command line switches -log or -logfile (see sec. `command line
-options`_) or by activating the logging at any moment with the magic
-function %logstart.
-
-Log files can later be reloaded with the -logplay option and IPython
-will attempt to 'replay' the log by executing all the lines in it, thus
-restoring the state of a previous session. This feature is not quite
-perfect, but can still be useful in many cases.
-
-The log files can also be used as a way to have a permanent record of
-any code you wrote while experimenting. Log files are regular text files
-which you can later open in your favorite text editor to extract code or
-to 'clean them up' before using them to replay a session.
-
-The %logstart function for activating logging in mid-session is used as
-follows:
-
-%logstart [log_name [log_mode]]
-
-If no name is given, it defaults to a file named 'log' in your
-IPYTHONDIR directory, in 'rotate' mode (see below).
-
-'%logstart name' saves to file 'name' in 'backup' mode. It saves your
-history up to that point and then continues logging.
-
-%logstart takes a second optional parameter: logging mode. This can be
-one of (note that the modes are given unquoted):
-
-    * [over:] overwrite existing log_name.
-    * [backup:] rename (if exists) to log_name~ and start log_name.
-    * [append:] well, that says it.
-    * [rotate:] create rotating logs log_name.1~, log_name.2~, etc.
-
-The %logoff and %logon functions allow you to temporarily stop and
-resume logging to a file which had previously been started with
-%logstart. They will fail (with an explanation) if you try to use them
-before logging has been started.
-
-System shell access
--------------------
-
-Any input line beginning with a ! character is passed verbatim (minus
-the !, of course) to the underlying operating system. For example,
-typing !ls will run 'ls' in the current directory.
-
-Manual capture of command output
---------------------------------
-
-If the input line begins with two exclamation marks, !!, the command is
-executed but its output is captured and returned as a python list, split
-on newlines. Any output sent by the subprocess to standard error is
-printed separately, so that the resulting list only captures standard
-output. The !! syntax is a shorthand for the %sx magic command.
-
-Finally, the %sc magic (short for 'shell capture') is similar to %sx,
-but allowing more fine-grained control of the capture details, and
-storing the result directly into a named variable. The direct use of 
-%sc is now deprecated, and you should ise the ``var = !cmd`` syntax
-instead.
-
-IPython also allows you to expand the value of python variables when
-making system calls. Any python variable or expression which you prepend
-with $ will get expanded before the system call is made::
-
-    In [1]: pyvar='Hello world' 
-    In [2]: !echo "A python variable: $pyvar"  
-    A python variable: Hello world
-
-If you want the shell to actually see a literal $, you need to type it
-twice::
-
-    In [3]: !echo "A system variable: $$HOME"  
-    A system variable: /home/fperez
-
-You can pass arbitrary expressions, though you'll need to delimit them
-with {} if there is ambiguity as to the extent of the expression::
-
-    In [5]: x=10 
-    In [6]: y=20 
-    In [13]: !echo $x+y  
-    10+y  
-    In [7]: !echo ${x+y}  
-    30
-
-Even object attributes can be expanded::
-
-    In [12]: !echo $sys.argv  
-    [/home/fperez/usr/bin/ipython]
-
-
-System command aliases
-----------------------
-
-The %alias magic function and the alias option in the ipythonrc
-configuration file allow you to define magic functions which are in fact
-system shell commands. These aliases can have parameters.
-
-'%alias alias_name cmd' defines 'alias_name' as an alias for 'cmd'
-
-Then, typing '%alias_name params' will execute the system command 'cmd
-params' (from your underlying operating system).
-
-You can also define aliases with parameters using %s specifiers (one per
-parameter). The following example defines the %parts function as an
-alias to the command 'echo first %s second %s' where each %s will be
-replaced by a positional parameter to the call to %parts::
-
-    In [1]: alias parts echo first %s second %s 
-    In [2]: %parts A B 
-    first A second B  
-    In [3]: %parts A  
-    Incorrect number of arguments: 2 expected.  
-    parts is an alias to: 'echo first %s second %s'
-
-If called with no parameters, %alias prints the table of currently
-defined aliases.
-
-The %rehash/rehashx magics allow you to load your entire $PATH as
-ipython aliases. See their respective docstrings (or sec. 6.2
-<#sec:magic> for further details).
-
-
-.. _dreload:
-
-Recursive reload
-----------------
-
-The dreload function does a recursive reload of a module: changes made
-to the module since you imported will actually be available without
-having to exit.
-
-
-Verbose and colored exception traceback printouts
--------------------------------------------------
-
-IPython provides the option to see very detailed exception tracebacks,
-which can be especially useful when debugging large programs. You can
-run any Python file with the %run function to benefit from these
-detailed tracebacks. Furthermore, both normal and verbose tracebacks can
-be colored (if your terminal supports it) which makes them much easier
-to parse visually.
-
-See the magic xmode and colors functions for details (just type %magic).
-
-These features are basically a terminal version of Ka-Ping Yee's cgitb
-module, now part of the standard Python library.
-
-
-.. _Input caching:
-
-Input caching system
---------------------
-
-IPython offers numbered prompts (In/Out) with input and output caching.
-All input is saved and can be retrieved as variables (besides the usual
-arrow key recall).
-
-The following GLOBAL variables always exist (so don't overwrite them!):
-_i: stores previous input. _ii: next previous. _iii: next-next previous.
-_ih : a list of all input _ih[n] is the input from line n and this list
-is aliased to the global variable In. If you overwrite In with a
-variable of your own, you can remake the assignment to the internal list
-with a simple 'In=_ih'.
-
-Additionally, global variables named _i<n> are dynamically created (<n>
-being the prompt counter), such that
-_i<n> == _ih[<n>] == In[<n>].
-
-For example, what you typed at prompt 14 is available as _i14, _ih[14]
-and In[14].
-
-This allows you to easily cut and paste multi line interactive prompts
-by printing them out: they print like a clean string, without prompt
-characters. You can also manipulate them like regular variables (they
-are strings), modify or exec them (typing 'exec _i9' will re-execute the
-contents of input prompt 9, 'exec In[9:14]+In[18]' will re-execute lines
-9 through 13 and line 18).
-
-You can also re-execute multiple lines of input easily by using the
-magic %macro function (which automates the process and allows
-re-execution without having to type 'exec' every time). The macro system
-also allows you to re-execute previous lines which include magic
-function calls (which require special processing). Type %macro? or see
-sec. 6.2 <#sec:magic> for more details on the macro system.
-
-A history function %hist allows you to see any part of your input
-history by printing a range of the _i variables.
-
-.. _Output caching:
-
-Output caching system
----------------------
-
-For output that is returned from actions, a system similar to the input
-cache exists but using _ instead of _i. Only actions that produce a
-result (NOT assignments, for example) are cached. If you are familiar
-with Mathematica, IPython's _ variables behave exactly like
-Mathematica's % variables.
-
-The following GLOBAL variables always exist (so don't overwrite them!):
-
-    * [_] (a single underscore) : stores previous output, like Python's
-      default interpreter.
-    * [__] (two underscores): next previous.
-    * [___] (three underscores): next-next previous.
-
-Additionally, global variables named _<n> are dynamically created (<n>
-being the prompt counter), such that the result of output <n> is always
-available as _<n> (don't use the angle brackets, just the number, e.g.
-_21).
-
-These global variables are all stored in a global dictionary (not a
-list, since it only has entries for lines which returned a result)
-available under the names _oh and Out (similar to _ih and In). So the
-output from line 12 can be obtained as _12, Out[12] or _oh[12]. If you
-accidentally overwrite the Out variable you can recover it by typing
-'Out=_oh' at the prompt.
-
-This system obviously can potentially put heavy memory demands on your
-system, since it prevents Python's garbage collector from removing any
-previously computed results. You can control how many results are kept
-in memory with the option (at the command line or in your ipythonrc
-file) cache_size. If you set it to 0, the whole system is completely
-disabled and the prompts revert to the classic '>>>' of normal Python.
-
-
-Directory history
------------------
-
-Your history of visited directories is kept in the global list _dh, and
-the magic %cd command can be used to go to any entry in that list. The
-%dhist command allows you to view this history. do ``cd -<TAB`` to
-conventiently view the directory history.
-
-
-Automatic parentheses and quotes
---------------------------------
-
-These features were adapted from Nathan Gray's LazyPython. They are
-meant to allow less typing for common situations.
-
-
-Automatic parentheses
----------------------
-
-Callable objects (i.e. functions, methods, etc) can be invoked like this
-(notice the commas between the arguments)::
-
-    >>> callable_ob arg1, arg2, arg3
-
-and the input will be translated to this::
-
-    -> callable_ob(arg1, arg2, arg3)
-
-You can force automatic parentheses by using '/' as the first character
-of a line. For example::
-
-    >>> /globals # becomes 'globals()'
-
-Note that the '/' MUST be the first character on the line! This won't work::
-
-    >>> print /globals # syntax error
-
-In most cases the automatic algorithm should work, so you should rarely
-need to explicitly invoke /. One notable exception is if you are trying
-to call a function with a list of tuples as arguments (the parenthesis
-will confuse IPython)::
-
-    In [1]: zip (1,2,3),(4,5,6) # won't work
-
-but this will work::
-
-    In [2]: /zip (1,2,3),(4,5,6) 
-    ---> zip ((1,2,3),(4,5,6))  
-    Out[2]= [(1, 4), (2, 5), (3, 6)]
-
-IPython tells you that it has altered your command line by displaying
-the new command line preceded by ->. e.g.::
-
-    In [18]: callable list 
-    ----> callable (list)
-
-
-Automatic quoting
------------------
-
-You can force automatic quoting of a function's arguments by using ','
-or ';' as the first character of a line. For example::
-
-    >>> ,my_function /home/me # becomes my_function("/home/me")
-
-If you use ';' instead, the whole argument is quoted as a single string
-(while ',' splits on whitespace)::
-
-    >>> ,my_function a b c # becomes my_function("a","b","c")
-
-    >>> ;my_function a b c # becomes my_function("a b c")
-
-Note that the ',' or ';' MUST be the first character on the line! This
-won't work::
-
-    >>> x = ,my_function /home/me # syntax error
-
-.. customization:
-
-Customization
-=============
-
-There are 2 ways to configure IPython - the old way of using ipythonrc
-files (an INI-file like format), and the new way that involves editing
-your ipy_user_conf.py. Both configuration systems work at the same
-time, so you can set your options in both, but if you are hesitating
-about which alternative to choose, we recommend the ipy_user_conf.py
-approach, as it will give you more power and control in the long
-run. However, there are few options such as pylab_import_all that can
-only be specified in ipythonrc file or command line - the reason for
-this is that they are needed before IPython has been started up, and
-the IPApi object used in ipy_user_conf.py is not yet available at that
-time. A hybrid approach of specifying a few options in ipythonrc and
-doing the more advanced configuration in ipy_user_conf.py is also
-possible.
-
-The ipythonrc approach
-----------------------
-
-As we've already mentioned, IPython reads a configuration file which can
-be specified at the command line (-rcfile) or which by default is
-assumed to be called ipythonrc. Such a file is looked for in the current
-directory where IPython is started and then in your IPYTHONDIR, which
-allows you to have local configuration files for specific projects. In
-this section we will call these types of configuration files simply
-rcfiles (short for resource configuration file).
-
-The syntax of an rcfile is one of key-value pairs separated by
-whitespace, one per line. Lines beginning with a # are ignored as
-comments, but comments can not be put on lines with data (the parser is
-fairly primitive). Note that these are not python files, and this is
-deliberate, because it allows us to do some things which would be quite
-tricky to implement if they were normal python files.
-
-First, an rcfile can contain permanent default values for almost all
-command line options (except things like -help or -Version). Sec
-`command line options`_ contains a description of all command-line
-options. However, values you explicitly specify at the command line
-override the values defined in the rcfile.
-
-Besides command line option values, the rcfile can specify values for
-certain extra special options which are not available at the command
-line. These options are briefly described below.
-
-Each of these options may appear as many times as you need it in the file.
-
-    * include <file1> <file2> ...: you can name other rcfiles you want
-      to recursively load up to 15 levels (don't use the <> brackets in
-      your names!). This feature allows you to define a 'base' rcfile
-      with general options and special-purpose files which can be loaded
-      only when needed with particular configuration options. To make
-      this more convenient, IPython accepts the -profile <name> option
-      (abbreviates to -p <name>) which tells it to look for an rcfile
-      named ipythonrc-<name>.
-    * import_mod <mod1> <mod2> ...: import modules with 'import
-      <mod1>,<mod2>,...'
-    * import_some <mod> <f1> <f2> ...: import functions with 'from
-      <mod> import <f1>,<f2>,...'
-    * import_all <mod1> <mod2> ...: for each module listed import
-      functions with ``from <mod> import *``.
-    * execute <python code>: give any single-line python code to be
-      executed.
-    * execfile <filename>: execute the python file given with an
-      'execfile(filename)' command. Username expansion is performed on
-      the given names. So if you need any amount of extra fancy
-      customization that won't fit in any of the above 'canned' options,
-      you can just put it in a separate python file and execute it.
-    * alias <alias_def>: this is equivalent to calling
-      '%alias <alias_def>' at the IPython command line. This way, from
-      within IPython you can do common system tasks without having to
-      exit it or use the ! escape. IPython isn't meant to be a shell
-      replacement, but it is often very useful to be able to do things
-      with files while testing code. This gives you the flexibility to
-      have within IPython any aliases you may be used to under your
-      normal system shell.
-
-
-.. _ipythonrc:
-
-Sample ipythonrc file
----------------------
-
-The default rcfile, called ipythonrc and supplied in your IPYTHONDIR
-directory contains lots of comments on all of these options. We
-reproduce it here for reference::
-
-
-    # -*- Mode: Shell-Script -*-  Not really, but shows comments correctly
-    # $Id: ipythonrc 2156 2007-03-19 02:32:19Z fperez $
-
-    #***************************************************************************
-    #
-    # Configuration file for IPython -- ipythonrc format
-    #
-    # ===========================================================
-    # Deprecation note: you should look into modifying ipy_user_conf.py (located 
-    # in ~/.ipython or ~/_ipython, depending on your platform) instead, it's a 
-    # more flexible and robust (and better supported!) configuration
-    # method.
-    # ===========================================================
-    #
-    # The format of this file is simply one of 'key value' lines.
-    # Lines containing only whitespace at the beginning and then a # are ignored
-    # as comments. But comments can NOT be put on lines with data.
-
-    # The meaning and use of each key are explained below.
-
-    #---------------------------------------------------------------------------
-    # Section: included files
-
-    # Put one or more *config* files (with the syntax of this file) you want to
-    # include. For keys with a unique value the outermost file has precedence. For
-    # keys with multiple values, they all get assembled into a list which then
-    # gets loaded by IPython.
-
-    # In this file, all lists of things should simply be space-separated.
-
-    # This allows you to build hierarchies of files which recursively load
-    # lower-level services. If this is your main ~/.ipython/ipythonrc file, you
-    # should only keep here basic things you always want available. Then you can
-    # include it in every other special-purpose config file you create.
-    include 
-
-    #---------------------------------------------------------------------------
-    # Section: startup setup
-
-    # These are mostly things which parallel a command line option of the same
-    # name.
-
-    # Keys in this section should only appear once. If any key from this section
-    # is encountered more than once, the last value remains, all earlier ones get
-    # discarded.
-
-
-    # Automatic calling of callable objects.  If set to 1 or 2, callable objects
-    # are automatically called when invoked at the command line, even if you don't
-    # type parentheses.  IPython adds the parentheses for you.  For example:
-
-    #In [1]: str 45
-    #------> str(45)
-    #Out[1]: '45'
-
-    # IPython reprints your line with '---->' indicating that it added
-    # parentheses.  While this option is very convenient for interactive use, it
-    # may occasionally cause problems with objects which have side-effects if
-    # called unexpectedly.
-
-    # The valid values for autocall are:
-
-    # autocall 0 -> disabled (you can toggle it at runtime with the %autocall magic)
-
-    # autocall 1 -> active, but do not apply if there are no arguments on the line.
-
-    # In this mode, you get:
-
-    #In [1]: callable
-    #Out[1]: <built-in function callable>
-
-    #In [2]: callable 'hello'
-    #------> callable('hello')
-    #Out[2]: False
-
-    # 2 -> Active always.  Even if no arguments are present, the callable object
-    # is called:
-
-    #In [4]: callable
-    #------> callable()
-
-    # Note that even with autocall off, you can still use '/' at the start of a
-    # line to treat the first argument on the command line as a function and add
-    # parentheses to it:
-
-    #In [8]: /str 43
-    #------> str(43)
-    #Out[8]: '43'
-
-    autocall 1
-
-    # Auto-edit syntax errors.  When you use the %edit magic in ipython to edit
-    # source code (see the 'editor' variable below), it is possible that you save
-    # a file with syntax errors in it.  If this variable is true, IPython will ask
-    # you whether to re-open the editor immediately to correct such an error.
-
-    autoedit_syntax 0
-
-    # Auto-indent. IPython can recognize lines ending in ':' and indent the next
-    # line, while also un-indenting automatically after 'raise' or 'return'.  
-
-    # This feature uses the readline library, so it will honor your ~/.inputrc
-    # configuration (or whatever file your INPUTRC variable points to).  Adding
-    # the following lines to your .inputrc file can make indent/unindenting more
-    # convenient (M-i indents, M-u unindents):
-
-    #  $if Python
-    #  "\M-i": "    "
-    #  "\M-u": "\d\d\d\d"
-    #  $endif
-
-    # The feature is potentially a bit dangerous, because it can cause problems
-    # with pasting of indented code (the pasted code gets re-indented on each
-    # line).  But it's a huge time-saver when working interactively.  The magic
-    # function %autoindent allows you to toggle it on/off at runtime.
-
-    autoindent 1
-
-    # Auto-magic. This gives you access to all the magic functions without having
-    # to prepend them with an % sign. If you define a variable with the same name
-    # as a magic function (say who=1), you will need to access the magic function
-    # with % (%who in this example). However, if later you delete your variable
-    # (del who), you'll recover the automagic calling form.
-
-    # Considering that many magic functions provide a lot of shell-like
-    # functionality, automagic gives you something close to a full Python+system
-    # shell environment (and you can extend it further if you want).
-
-    automagic 1
-
-    # Size of the output cache. After this many entries are stored, the cache will
-    # get flushed. Depending on the size of your intermediate calculations, you
-    # may have memory problems if you make it too big, since keeping things in the
-    # cache prevents Python from reclaiming the memory for old results. Experiment
-    # with a value that works well for you.
-
-    # If you choose cache_size 0 IPython will revert to python's regular >>>
-    # unnumbered prompt. You will still have _, __ and ___ for your last three
-    # results, but that will be it.  No dynamic _1, _2, etc. will be created. If
-    # you are running on a slow machine or with very limited memory, this may
-    # help.
-
-    cache_size 1000
-
-    # Classic mode: Setting 'classic 1' you lose many of IPython niceties,
-    # but that's your choice! Classic 1 -> same as IPython -classic.
-    # Note that this is _not_ the normal python interpreter, it's simply
-    # IPython emulating most of the classic interpreter's behavior.
-    classic 0
-
-    # colors - Coloring option for prompts and traceback printouts.
-
-    # Currently available schemes: NoColor, Linux, LightBG.
-
-    # This option allows coloring the prompts and traceback printouts. This
-    # requires a terminal which can properly handle color escape sequences. If you
-    # are having problems with this, use the NoColor scheme (uses no color escapes
-    # at all).
-
-    # The Linux option works well in linux console type environments: dark
-    # background with light fonts.
-
-    # LightBG is similar to Linux but swaps dark/light colors to be more readable
-    # in light background terminals.
-
-    # keep uncommented only the one you want:
-    colors Linux
-    #colors LightBG
-    #colors NoColor
-
-    ########################
-    # Note to Windows users
-    #
-    # Color and readline support is avaialble to Windows users via Gary Bishop's
-    # readline library.  You can find Gary's tools at
-    # http://sourceforge.net/projects/uncpythontools.
-    # Note that his readline module requires in turn the ctypes library, available
-    # at http://starship.python.net/crew/theller/ctypes.
-    ########################
-
-    # color_info: IPython can display information about objects via a set of
-    # functions, and optionally can use colors for this, syntax highlighting
-    # source code and various other elements. This information is passed through a
-    # pager (it defaults to 'less' if $PAGER is not set). 
-
-    # If your pager has problems, try to setting it to properly handle escapes
-    # (see the less manpage for detail), or disable this option.  The magic
-    # function %color_info allows you to toggle this interactively for testing.
-
-    color_info 1
-
-    # confirm_exit: set to 1 if you want IPython to confirm when you try to exit
-    # with an EOF (Control-d in Unix, Control-Z/Enter in Windows). Note that using
-    # the magic functions %Exit or %Quit you can force a direct exit, bypassing
-    # any confirmation.
-
-    confirm_exit 1
-
-    # Use deep_reload() as a substitute for reload() by default. deep_reload() is
-    # still available as dreload() and appears as a builtin.
-
-    deep_reload 0
-
-    # Which editor to use with the %edit command. If you leave this at 0, IPython
-    # will honor your EDITOR environment variable. Since this editor is invoked on
-    # the fly by ipython and is meant for editing small code snippets, you may
-    # want to use a small, lightweight editor here.
-
-    # For Emacs users, setting up your Emacs server properly as described in the
-    # manual is a good idea. An alternative is to use jed, a very light editor
-    # with much of the feel of Emacs (though not as powerful for heavy-duty work).
-
-    editor 0
-
-    # log 1 -> same as ipython -log. This automatically logs to ./ipython.log
-    log 0
-
-    # Same as ipython -Logfile YourLogfileName. 
-    # Don't use with log 1 (use one or the other)
-    logfile ''
-
-    # banner 0 -> same as ipython -nobanner
-    banner 1
-
-    # messages 0 -> same as ipython -nomessages
-    messages 1
-
-    # Automatically call the pdb debugger after every uncaught exception. If you
-    # are used to debugging using pdb, this puts you automatically inside of it
-    # after any call (either in IPython or in code called by it) which triggers an
-    # exception which goes uncaught.
-    pdb 0
-
-    # Enable the pprint module for printing. pprint tends to give a more readable
-    # display (than print) for complex nested data structures.
-    pprint 1
-
-    # Prompt strings
-
-    # Most bash-like escapes can be used to customize IPython's prompts, as well as
-    # a few additional ones which are IPython-specific.  All valid prompt escapes
-    # are described in detail in the Customization section of the IPython HTML/PDF
-    # manual.
-
-    # Use \# to represent the current prompt number, and quote them to protect
-    # spaces.
-    prompt_in1 'In [\#]: '
-
-    # \D is replaced by as many dots as there are digits in the
-    # current value of \#.
-    prompt_in2 '   .\D.: '
-
-    prompt_out 'Out[\#]: '
-
-    # Select whether to left-pad the output prompts to match the length of the
-    # input ones.  This allows you for example to use a simple '>' as an output
-    # prompt, and yet have the output line up with the input.  If set to false,
-    # the output prompts will be unpadded (flush left).
-    prompts_pad_left 1
-
-    # Pylab support: when ipython is started with the -pylab switch, by default it
-    # executes 'from matplotlib.pylab import *'.  Set this variable to false if you
-    # want to disable this behavior.
-
-    # For details on pylab, see the matplotlib website:
-    # http://matplotlib.sf.net
-    pylab_import_all 1
-
-
-    # quick 1 -> same as ipython -quick
-    quick 0
-
-    # Use the readline library (1) or not (0). Most users will want this on, but
-    # if you experience strange problems with line management (mainly when using
-    # IPython inside Emacs buffers) you may try disabling it. Not having it on
-    # prevents you from getting command history with the arrow keys, searching and
-    # name completion using TAB.
-
-    readline 1
-
-    # Screen Length: number of lines of your screen. This is used to control
-    # printing of very long strings. Strings longer than this number of lines will
-    # be paged with the less command instead of directly printed.
-
-    # The default value for this is 0, which means IPython will auto-detect your
-    # screen size every time it needs to print. If for some reason this isn't
-    # working well (it needs curses support), specify it yourself. Otherwise don't
-    # change the default.
-
-    screen_length 0
-
-    # Prompt separators for input and output.
-    # Use \n for newline explicitly, without quotes.
-    # Use 0 (like at the cmd line) to turn off a given separator.
-
-    # The structure of prompt printing is:
-    # (SeparateIn)Input....
-    # (SeparateOut)Output...
-    # (SeparateOut2),   # that is, no newline is printed after Out2
-    # By choosing these you can organize your output any way you want.
-
-    separate_in \n
-    separate_out 0
-    separate_out2 0
-
-    # 'nosep 1' is a shorthand for '-SeparateIn 0 -SeparateOut 0 -SeparateOut2 0'.
-    # Simply removes all input/output separators, overriding the choices above.
-    nosep 0
-
-    # Wildcard searches - IPython has a system for searching names using
-    # shell-like wildcards; type %psearch? for details.  This variables sets
-    # whether by default such searches should be case sensitive or not.  You can
-    # always override the default at the system command line or the IPython
-    # prompt.
-
-    wildcards_case_sensitive 1
-
-    # Object information: at what level of detail to display the string form of an
-    # object.  If set to 0, ipython will compute the string form of any object X,
-    # by calling str(X), when X? is typed.  If set to 1, str(X) will only be
-    # computed when X?? is given, and if set to 2 or higher, it will never be
-    # computed (there is no X??? level of detail).  This is mostly of use to
-    # people who frequently manipulate objects whose string representation is
-    # extremely expensive to compute.
-
-    object_info_string_level 0
-
-    # xmode - Exception reporting mode. 
-
-    # Valid modes: Plain, Context and Verbose.
-
-    # Plain: similar to python's normal traceback printing.
-
-    # Context: prints 5 lines of context source code around each line in the
-    # traceback.
-
-    # Verbose: similar to Context, but additionally prints the variables currently
-    # visible where the exception happened (shortening their strings if too
-    # long). This can potentially be very slow, if you happen to have a huge data
-    # structure whose string representation is complex to compute. Your computer
-    # may appear to freeze for a while with cpu usage at 100%. If this occurs, you
-    # can cancel the traceback with Ctrl-C (maybe hitting it more than once).
-
-    #xmode Plain
-    xmode Context
-    #xmode Verbose
-
-    # multi_line_specials: if true, allow magics, aliases and shell escapes (via
-    # !cmd) to be used in multi-line input (like for loops).  For example, if you
-    # have this active, the following is valid in IPython:
-    #
-    #In [17]: for i in range(3):
-    #   ....:     mkdir $i
-    #   ....:     !touch $i/hello
-    #   ....:     ls -l $i
-
-    multi_line_specials 1
-
-
-    # System calls: When IPython makes system calls (e.g. via special syntax like
-    # !cmd or !!cmd, or magics like %sc or %sx), it can print the command it is
-    # executing to standard output, prefixed by a header string.
-
-    system_header "IPython system call: "
-
-    system_verbose 1
-
-    # wxversion: request a specific wxPython version (used for -wthread)
-
-    # Set this to the value of wxPython you want to use, but note that this
-    # feature requires you to have the wxversion Python module to work.  If you
-    # don't have the wxversion module (try 'import wxversion' at the prompt to
-    # check) or simply want to leave the system to pick up the default, leave this
-    # variable at 0.
-
-    wxversion 0
-
-    #---------------------------------------------------------------------------
-    # Section: Readline configuration (readline is not available for MS-Windows)
-
-    # This is done via the following options:
-
-    # (i) readline_parse_and_bind: this option can appear as many times as you
-    # want, each time defining a string to be executed via a
-    # readline.parse_and_bind() command. The syntax for valid commands of this
-    # kind can be found by reading the documentation for the GNU readline library,
-    # as these commands are of the kind which readline accepts in its
-    # configuration file.
-
-    # The TAB key can be used to complete names at the command line in one of two
-    # ways: 'complete' and 'menu-complete'. The difference is that 'complete' only
-    # completes as much as possible while 'menu-complete' cycles through all
-    # possible completions. Leave the one you prefer uncommented.
-
-    readline_parse_and_bind tab: complete
-    #readline_parse_and_bind tab: menu-complete
-
-    # This binds Control-l to printing the list of all possible completions when
-    # there is more than one (what 'complete' does when hitting TAB twice, or at
-    # the first TAB if show-all-if-ambiguous is on)
-    readline_parse_and_bind "\C-l": possible-completions
-
-    # This forces readline to automatically print the above list when tab
-    # completion is set to 'complete'. You can still get this list manually by
-    # using the key bound to 'possible-completions' (Control-l by default) or by
-    # hitting TAB twice. Turning this on makes the printing happen at the first
-    # TAB.
-    readline_parse_and_bind set show-all-if-ambiguous on
-
-    # If you have TAB set to complete names, you can rebind any key (Control-o by
-    # default) to insert a true TAB character.
-    readline_parse_and_bind "\C-o": tab-insert
-
-    # These commands allow you to indent/unindent easily, with the 4-space
-    # convention of the Python coding standards.  Since IPython's internal
-    # auto-indent system also uses 4 spaces, you should not change the number of
-    # spaces in the code below.
-    readline_parse_and_bind "\M-i": "    "
-    readline_parse_and_bind "\M-o": "\d\d\d\d"
-    readline_parse_and_bind "\M-I": "\d\d\d\d"
-
-    # Bindings for incremental searches in the history. These searches use the
-    # string typed so far on the command line and search anything in the previous
-    # input history containing them.
-    readline_parse_and_bind "\C-r": reverse-search-history
-    readline_parse_and_bind "\C-s": forward-search-history
-
-    # Bindings for completing the current line in the history of previous
-    # commands. This allows you to recall any previous command by typing its first
-    # few letters and hitting Control-p, bypassing all intermediate commands which
-    # may be in the history (much faster than hitting up-arrow 50 times!)
-    readline_parse_and_bind "\C-p": history-search-backward
-    readline_parse_and_bind "\C-n": history-search-forward
-
-    # I also like to have the same functionality on the plain arrow keys. If you'd
-    # rather have the arrows use all the history (and not just match what you've
-    # typed so far), comment out or delete the next two lines.
-    readline_parse_and_bind "\e[A": history-search-backward
-    readline_parse_and_bind "\e[B": history-search-forward
-
-    # These are typically on by default under *nix, but not win32.
-    readline_parse_and_bind "\C-k": kill-line
-    readline_parse_and_bind "\C-u": unix-line-discard
-
-    # (ii) readline_remove_delims: a string of characters to be removed from the
-    # default word-delimiters list used by readline, so that completions may be
-    # performed on strings which contain them.
-
-    readline_remove_delims -/~
-
-    # (iii) readline_merge_completions: whether to merge the result of all
-    # possible completions or not.  If true, IPython will complete filenames,
-    # python names and aliases and return all possible completions.  If you set it
-    # to false, each completer is used at a time, and only if it doesn't return
-    # any completions is the next one used.
-
-    # The default order is: [python_matches, file_matches, alias_matches]
-
-    readline_merge_completions 1
-
-    # (iv) readline_omit__names: normally hitting <tab> after a '.' in a name
-    # will complete all attributes of an object, including all the special methods
-    # whose names start with single or double underscores (like __getitem__ or
-    # __class__).
-
-    # This variable allows you to control this completion behavior:
-
-    # readline_omit__names 1 -> completion will omit showing any names starting
-    # with two __, but it will still show names starting with one _.
-
-    # readline_omit__names 2 -> completion will omit all names beginning with one
-    # _ (which obviously means filtering out the double __ ones).
-
-    # Even when this option is set, you can still see those names by explicitly
-    # typing a _ after the period and hitting <tab>: 'name._<tab>' will always
-    # complete attribute names starting with '_'.
-
-    # This option is off by default so that new users see all attributes of any
-    # objects they are dealing with.
-
-    readline_omit__names 0
-
-    #---------------------------------------------------------------------------
-    # Section: modules to be loaded with 'import ...'
-
-    # List, separated by spaces, the names of the modules you want to import
-
-    # Example:
-    # import_mod sys os
-    # will produce internally the statements
-    # import sys
-    # import os
-
-    # Each import is executed in its own try/except block, so if one module
-    # fails to load the others will still be ok.
-
-    import_mod 
-
-    #---------------------------------------------------------------------------
-    # Section: modules to import some functions from: 'from ... import ...'
-
-    # List, one per line, the modules for which you want only to import some
-    # functions. Give the module name first and then the name of functions to be
-    # imported from that module.
-
-    # Example:
-
-    # import_some IPython.genutils timing timings
-    # will produce internally the statement
-    # from IPython.genutils import timing, timings
-
-    # timing() and timings() are two IPython utilities for timing the execution of
-    # your own functions, which you may find useful.  Just commment out the above
-    # line if you want to test them.
-
-    # If you have more than one modules_some line, each gets its own try/except
-    # block (like modules, see above).
-
-    import_some 
-
-    #---------------------------------------------------------------------------
-    # Section: modules to import all from : 'from ... import *'
-
-    # List (same syntax as import_mod above) those modules for which you want to
-    # import all functions. Remember, this is a potentially dangerous thing to do,
-    # since it is very easy to overwrite names of things you need. Use with
-    # caution.
-
-    # Example:
-    # import_all sys os
-    # will produce internally the statements
-    # from sys import *
-    # from os import *
-
-    # As before, each will be called in a separate try/except block.
-
-    import_all 
-
-    #---------------------------------------------------------------------------
-    # Section: Python code to execute.
-
-    # Put here code to be explicitly executed (keep it simple!)
-    # Put one line of python code per line. All whitespace is removed (this is a
-    # feature, not a bug), so don't get fancy building loops here.
-    # This is just for quick convenient creation of things you want available.
-
-    # Example:
-    # execute x = 1
-    # execute print 'hello world'; y = z = 'a'
-    # will produce internally
-    # x = 1
-    # print 'hello world'; y = z = 'a'
-    # and each *line* (not each statement, we don't do python syntax parsing) is
-    # executed in its own try/except block.
-
-    execute 
-
-    # Note for the adventurous: you can use this to define your own names for the
-    # magic functions, by playing some namespace tricks:
-
-    # execute __IPYTHON__.magic_pf = __IPYTHON__.magic_profile
-
-    # defines %pf as a new name for %profile.
-
-    #---------------------------------------------------------------------------
-    # Section: Pyhton files to load and execute.
-
-    # Put here the full names of files you want executed with execfile(file).  If
-    # you want complicated initialization, just write whatever you want in a
-    # regular python file and load it from here.
-
-    # Filenames defined here (which *must* include the extension) are searched for
-    # through all of sys.path. Since IPython adds your .ipython directory to
-    # sys.path, they can also be placed in your .ipython dir and will be
-    # found. Otherwise (if you want to execute things not in .ipyton nor in
-    # sys.path) give a full path (you can use ~, it gets expanded)
-
-    # Example:
-    # execfile file1.py ~/file2.py
-    # will generate
-    # execfile('file1.py')
-    # execfile('_path_to_your_home/file2.py')
-
-    # As before, each file gets its own try/except block.
-
-    execfile
-
-    # If you are feeling adventurous, you can even add functionality to IPython
-    # through here. IPython works through a global variable called __ip which
-    # exists at the time when these files are read. If you know what you are doing
-    # (read the source) you can add functions to __ip in files loaded here. 
-
-    # The file example-magic.py contains a simple but correct example. Try it:
-
-    # execfile example-magic.py
-
-    # Look at the examples in IPython/iplib.py for more details on how these magic
-    # functions need to process their arguments.
-
-    #---------------------------------------------------------------------------
-    # Section: aliases for system shell commands
-
-    # Here you can define your own names for system commands. The syntax is
-    # similar to that of the builtin %alias function:
-
-    # alias alias_name command_string
-
-    # The resulting aliases are auto-generated magic functions (hence usable as
-    # %alias_name)
-
-    # For example:
-
-    # alias myls ls -la
-
-    # will define 'myls' as an alias for executing the system command 'ls -la'.
-    # This allows you to customize IPython's environment to have the same aliases
-    # you are accustomed to from your own shell.
-
-    # You can also define aliases with parameters using %s specifiers (one per
-    # parameter):
-
-    # alias parts echo first %s second %s
-
-    # will give you in IPython:
-    # >>> %parts A B
-    # first A second B
-
-    # Use one 'alias' statement per alias you wish to define.
-
-    # alias 
-
-    #************************* end of file <ipythonrc> ************************
-
-
-ipy_user_conf.py
-----------------
-
-There should be a simple template ipy_user_conf.py file in your
-~/.ipython directory. It is a plain python module that is imported
-during IPython startup, so you can do pretty much what you want there
-- import modules, configure extensions, change options, define magic
-commands, put variables and functions in the IPython namespace,
-etc. You use the IPython extension api object, acquired by
-IPython.ipapi.get() and documented in the "IPython extension API"
-chapter, to interact with IPython. A sample ipy_user_conf.py is listed
-below for reference::
-
-    # Most of your config files and extensions will probably start
-    # with this import
-
-    import IPython.ipapi
-    ip = IPython.ipapi.get()
-
-    # You probably want to uncomment this if you did %upgrade -nolegacy
-    # import ipy_defaults    
-
-    import os   
-
-    def main():   
-
-        #ip.dbg.debugmode = True
-        ip.dbg.debug_stack()
-
-        # uncomment if you want to get ipython -p sh behaviour
-        # without having to use command line switches  
-        import ipy_profile_sh
-        import jobctrl
-
-        # Configure your favourite editor?
-        # Good idea e.g. for %edit os.path.isfile
-
-        #import ipy_editors
-
-        # Choose one of these:
-
-        #ipy_editors.scite()
-        #ipy_editors.scite('c:/opt/scite/scite.exe')
-        #ipy_editors.komodo()
-        #ipy_editors.idle()
-        # ... or many others, try 'ipy_editors??' after import to see them
-
-        # Or roll your own:
-        #ipy_editors.install_editor("c:/opt/jed +$line $file")
-
-
-        o = ip.options
-        # An example on how to set options
-        #o.autocall = 1
-        o.system_verbose = 0
-
-        #import_all("os sys")
-        #execf('~/_ipython/ns.py')
-
-
-        # -- prompt
-        # A different, more compact set of prompts from the default ones, that
-        # always show your current location in the filesystem:
-
-        #o.prompt_in1 = r'\C_LightBlue[\C_LightCyan\Y2\C_LightBlue]\C_Normal\n\C_Green|\#>'
-        #o.prompt_in2 = r'.\D: '
-        #o.prompt_out = r'[\#] '
-
-        # Try one of these color settings if you can't read the text easily
-        # autoexec is a list of IPython commands to execute on startup
-        #o.autoexec.append('%colors LightBG')
-        #o.autoexec.append('%colors NoColor')
-        o.autoexec.append('%colors Linux')
-
-
-    # some config helper functions you can use 
-    def import_all(modules):
-        """ Usage: import_all("os sys") """ 
-        for m in modules.split():
-            ip.ex("from %s import *" % m)
-
-    def execf(fname):
-        """ Execute a file in user namespace """
-        ip.ex('execfile("%s")' % os.path.expanduser(fname))
-
-    main()
-
-.. _Prompts:
-
-Fine-tuning your prompt
------------------------
-
-IPython's prompts can be customized using a syntax similar to that of
-the bash shell. Many of bash's escapes are supported, as well as a few
-additional ones. We list them below::
-
-    \#
-        the prompt/history count number. This escape is automatically
-        wrapped in the coloring codes for the currently active color scheme. 
-    \N
-        the 'naked' prompt/history count number: this is just the number
-        itself, without any coloring applied to it. This lets you produce
-        numbered prompts with your own colors. 
-    \D
-        the prompt/history count, with the actual digits replaced by dots.
-        Used mainly in continuation prompts (prompt_in2) 
-    \w
-        the current working directory 
-    \W
-        the basename of current working directory 
-    \Xn
-        where $n=0\ldots5.$ The current working directory, with $HOME
-        replaced by ~, and filtered out to contain only $n$ path elements 
-    \Yn
-        Similar to \Xn, but with the $n+1$ element included if it is ~ (this
-        is similar to the behavior of the %cn escapes in tcsh) 
-    \u
-        the username of the current user 
-    \$
-        if the effective UID is 0, a #, otherwise a $ 
-    \h
-        the hostname up to the first '.' 
-    \H
-        the hostname 
-    \n
-        a newline 
-    \r
-        a carriage return 
-    \v
-        IPython version string 
-
-In addition to these, ANSI color escapes can be insterted into the
-prompts, as \C_ColorName. The list of valid color names is: Black, Blue,
-Brown, Cyan, DarkGray, Green, LightBlue, LightCyan, LightGray,
-LightGreen, LightPurple, LightRed, NoColor, Normal, Purple, Red, White,
-Yellow.
-
-Finally, IPython supports the evaluation of arbitrary expressions in
-your prompt string. The prompt strings are evaluated through the syntax
-of PEP 215, but basically you can use $x.y to expand the value of x.y,
-and for more complicated expressions you can use braces: ${foo()+x} will
-call function foo and add to it the value of x, before putting the
-result into your prompt. For example, using
-prompt_in1 '${commands.getoutput("uptime")}\nIn [\#]: ' 
-will print the result of the uptime command on each prompt (assuming the
-commands module has been imported in your ipythonrc file).
-
-
-      Prompt examples
-
-The following options in an ipythonrc file will give you IPython's
-default prompts::
-
-    prompt_in1 'In [\#]:' 
-    prompt_in2 '   .\D.:' 
-    prompt_out 'Out[\#]:'
-
-which look like this::
-
-    In [1]: 1+2 
-    Out[1]: 3
-
-    In [2]: for i in (1,2,3): 
-       ...:    print i, 
-       ...: 
-    1 2 3
-
-These will give you a very colorful prompt with path information::
-
-    #prompt_in1 '\C_Red\u\C_Blue[\C_Cyan\Y1\C_Blue]\C_LightGreen\#>' 
-    prompt_in2 ' ..\D>' 
-    prompt_out '<\#>'
-
-which look like this::
-
-    fperez[~/ipython]1> 1+2 
-                    <1> 3 
-    fperez[~/ipython]2> for i in (1,2,3): 
-                   ...>     print i, 
-                   ...> 
-    1 2 3
-
-
-.. _Profiles:
-
-IPython profiles
-----------------
-
-As we already mentioned, IPython supports the -profile command-line
-option (see sec. `command line options`_). A profile is nothing more
-than a particular configuration file like your basic ipythonrc one,
-but with particular customizations for a specific purpose. When you
-start IPython with 'ipython -profile <name>', it assumes that in your
-IPYTHONDIR there is a file called ipythonrc-<name> or
-ipy_profile_<name>.py, and loads it instead of the normal ipythonrc.
-
-This system allows you to maintain multiple configurations which load
-modules, set options, define functions, etc. suitable for different
-tasks and activate them in a very simple manner. In order to avoid
-having to repeat all of your basic options (common things that don't
-change such as your color preferences, for example), any profile can
-include another configuration file. The most common way to use profiles
-is then to have each one include your basic ipythonrc file as a starting
-point, and then add further customizations.
-
-IPython as your default Python environment
-==========================================
-
-Python honors the environment variable PYTHONSTARTUP and will execute at
-startup the file referenced by this variable. If you put at the end of
-this file the following two lines of code::
-
-    import IPython 
-    IPython.Shell.IPShell().mainloop(sys_exit=1)
-
-then IPython will be your working environment anytime you start Python.
-The sys_exit=1 is needed to have IPython issue a call to sys.exit() when
-it finishes, otherwise you'll be back at the normal Python '>>>'
-prompt.
-
-This is probably useful to developers who manage multiple Python
-versions and don't want to have correspondingly multiple IPython
-versions. Note that in this mode, there is no way to pass IPython any
-command-line options, as those are trapped first by Python itself.
-
-.. _Embedding:
-
-Embedding IPython
-=================
-
-It is possible to start an IPython instance inside your own Python
-programs. This allows you to evaluate dynamically the state of your
-code, operate with your variables, analyze them, etc. Note however that
-any changes you make to values while in the shell do not propagate back
-to the running code, so it is safe to modify your values because you
-won't break your code in bizarre ways by doing so.
-
-This feature allows you to easily have a fully functional python
-environment for doing object introspection anywhere in your code with a
-simple function call. In some cases a simple print statement is enough,
-but if you need to do more detailed analysis of a code fragment this
-feature can be very valuable.
-
-It can also be useful in scientific computing situations where it is
-common to need to do some automatic, computationally intensive part and
-then stop to look at data, plots, etc.
-Opening an IPython instance will give you full access to your data and
-functions, and you can resume program execution once you are done with
-the interactive part (perhaps to stop again later, as many times as
-needed).
-
-The following code snippet is the bare minimum you need to include in
-your Python programs for this to work (detailed examples follow later)::
-
-    from IPython.Shell import IPShellEmbed
-
-    ipshell = IPShellEmbed()
-
-    ipshell() # this call anywhere in your program will start IPython
-
-You can run embedded instances even in code which is itself being run at
-the IPython interactive prompt with '%run <filename>'. Since it's easy
-to get lost as to where you are (in your top-level IPython or in your
-embedded one), it's a good idea in such cases to set the in/out prompts
-to something different for the embedded instances. The code examples
-below illustrate this.
-
-You can also have multiple IPython instances in your program and open
-them separately, for example with different options for data
-presentation. If you close and open the same instance multiple times,
-its prompt counters simply continue from each execution to the next.
-
-Please look at the docstrings in the Shell.py module for more details on
-the use of this system.
-
-The following sample file illustrating how to use the embedding
-functionality is provided in the examples directory as example-embed.py.
-It should be fairly self-explanatory::
-
-
-    #!/usr/bin/env python
-
-    """An example of how to embed an IPython shell into a running program.
-
-    Please see the documentation in the IPython.Shell module for more details.
-
-    The accompanying file example-embed-short.py has quick code fragments for
-    embedding which you can cut and paste in your code once you understand how
-    things work.
-
-    The code in this file is deliberately extra-verbose, meant for learning."""
-
-    # The basics to get you going:
-
-    # IPython sets the __IPYTHON__ variable so you can know if you have nested
-    # copies running.
-
-    # Try running this code both at the command line and from inside IPython (with
-    # %run example-embed.py)
-    try:
-        __IPYTHON__
-    except NameError:
-        nested = 0
-        args = ['']
-    else:
-        print "Running nested copies of IPython."
-        print "The prompts for the nested copy have been modified"
-        nested = 1
-        # what the embedded instance will see as sys.argv:
-        args = ['-pi1','In <\\#>: ','-pi2','   .\\D.: ',
-                '-po','Out<\\#>: ','-nosep']
-
-    # First import the embeddable shell class
-    from IPython.Shell import IPShellEmbed
-
-    # Now create an instance of the embeddable shell. The first argument is a
-    # string with options exactly as you would type them if you were starting
-    # IPython at the system command line. Any parameters you want to define for
-    # configuration can thus be specified here.
-    ipshell = IPShellEmbed(args,
-                           banner = 'Dropping into IPython',
-                           exit_msg = 'Leaving Interpreter, back to program.')
-
-    # Make a second instance, you can have as many as you want.
-    if nested:
-        args[1] = 'In2<\\#>'
-    else:
-        args = ['-pi1','In2<\\#>: ','-pi2','   .\\D.: ',
-                '-po','Out<\\#>: ','-nosep']
-    ipshell2 = IPShellEmbed(args,banner = 'Second IPython instance.')
-
-    print '\nHello. This is printed from the main controller program.\n'
-
-    # You can then call ipshell() anywhere you need it (with an optional
-    # message):
-    ipshell('***Called from top level. '
-            'Hit Ctrl-D to exit interpreter and continue program.\n'
-            'Note that if you use %kill_embedded, you can fully deactivate\n'
-            'This embedded instance so it will never turn on again')
-
-    print '\nBack in caller program, moving along...\n'
-
-    #---------------------------------------------------------------------------
-    # More details:
-
-    # IPShellEmbed instances don't print the standard system banner and
-    # messages. The IPython banner (which actually may contain initialization
-    # messages) is available as <instance>.IP.BANNER in case you want it.
-
-    # IPShellEmbed instances print the following information everytime they
-    # start:
-
-    # - A global startup banner.
-
-    # - A call-specific header string, which you can use to indicate where in the
-    # execution flow the shell is starting.
-
-    # They also print an exit message every time they exit.
-
-    # Both the startup banner and the exit message default to None, and can be set
-    # either at the instance constructor or at any other time with the
-    # set_banner() and set_exit_msg() methods.
-
-    # The shell instance can be also put in 'dummy' mode globally or on a per-call
-    # basis. This gives you fine control for debugging without having to change
-    # code all over the place.
-
-    # The code below illustrates all this.
-
-
-    # This is how the global banner and exit_msg can be reset at any point
-    ipshell.set_banner('Entering interpreter - New Banner')
-    ipshell.set_exit_msg('Leaving interpreter - New exit_msg')
-
-    def foo(m):
-        s = 'spam'
-        ipshell('***In foo(). Try @whos, or print s or m:')
-        print 'foo says m = ',m
-
-    def bar(n):
-        s = 'eggs'
-        ipshell('***In bar(). Try @whos, or print s or n:')
-        print 'bar says n = ',n
-
-    # Some calls to the above functions which will trigger IPython:
-    print 'Main program calling foo("eggs")\n'
-    foo('eggs')
-
-    # The shell can be put in 'dummy' mode where calls to it silently return. This
-    # allows you, for example, to globally turn off debugging for a program with a
-    # single call.
-    ipshell.set_dummy_mode(1)
-    print '\nTrying to call IPython which is now "dummy":'
-    ipshell()
-    print 'Nothing happened...'
-    # The global 'dummy' mode can still be overridden for a single call
-    print '\nOverriding dummy mode manually:'
-    ipshell(dummy=0)
-
-    # Reactivate the IPython shell
-    ipshell.set_dummy_mode(0)
-
-    print 'You can even have multiple embedded instances:'
-    ipshell2()
-
-    print '\nMain program calling bar("spam")\n'
-    bar('spam')
-
-    print 'Main program finished. Bye!'
-
-    #********************** End of file <example-embed.py> ***********************
-
-Once you understand how the system functions, you can use the following
-code fragments in your programs which are ready for cut and paste::
-
-
-    """Quick code snippets for embedding IPython into other programs.
-
-    See example-embed.py for full details, this file has the bare minimum code for
-    cut and paste use once you understand how to use the system."""
-
-    #---------------------------------------------------------------------------
-    # This code loads IPython but modifies a few things if it detects it's running
-    # embedded in another IPython session (helps avoid confusion)
-
-    try:
-        __IPYTHON__
-    except NameError:
-        argv = ['']
-        banner = exit_msg = ''
-    else:
-        # Command-line options for IPython (a list like sys.argv)
-        argv = ['-pi1','In <\\#>:','-pi2','   .\\D.:','-po','Out<\\#>:']
-        banner = '*** Nested interpreter ***'
-        exit_msg = '*** Back in main IPython ***'
-
-    # First import the embeddable shell class
-    from IPython.Shell import IPShellEmbed
-    # Now create the IPython shell instance. Put ipshell() anywhere in your code
-    # where you want it to open.
-    ipshell = IPShellEmbed(argv,banner=banner,exit_msg=exit_msg)
-
-    #---------------------------------------------------------------------------
-    # This code will load an embeddable IPython shell always with no changes for
-    # nested embededings.
-
-    from IPython.Shell import IPShellEmbed
-    ipshell = IPShellEmbed()
-    # Now ipshell() will open IPython anywhere in the code.
-
-    #---------------------------------------------------------------------------
-    # This code loads an embeddable shell only if NOT running inside
-    # IPython. Inside IPython, the embeddable shell variable ipshell is just a
-    # dummy function.
-
-    try:
-        __IPYTHON__
-    except NameError:
-        from IPython.Shell import IPShellEmbed
-        ipshell = IPShellEmbed()
-        # Now ipshell() will open IPython anywhere in the code
-    else:
-        # Define a dummy ipshell() so the same code doesn't crash inside an
-        # interactive IPython
-        def ipshell(): pass
-
-    #******************* End of file <example-embed-short.py> ********************
-
-Using the Python debugger (pdb)
-===============================
-
-Running entire programs via pdb
--------------------------------
-
-pdb, the Python debugger, is a powerful interactive debugger which
-allows you to step through code, set breakpoints, watch variables,
-etc.  IPython makes it very easy to start any script under the control
-of pdb, regardless of whether you have wrapped it into a 'main()'
-function or not. For this, simply type '%run -d myscript' at an
-IPython prompt. See the %run command's documentation (via '%run?' or
-in Sec. magic_ for more details, including how to control where pdb
-will stop execution first.
-
-For more information on the use of the pdb debugger, read the included
-pdb.doc file (part of the standard Python distribution). On a stock
-Linux system it is located at /usr/lib/python2.3/pdb.doc, but the
-easiest way to read it is by using the help() function of the pdb module
-as follows (in an IPython prompt):
-
-In [1]: import pdb 
-In [2]: pdb.help()
-
-This will load the pdb.doc document in a file viewer for you automatically.
-
-
-Automatic invocation of pdb on exceptions
------------------------------------------
-
-IPython, if started with the -pdb option (or if the option is set in
-your rc file) can call the Python pdb debugger every time your code
-triggers an uncaught exception. This feature
-can also be toggled at any time with the %pdb magic command. This can be
-extremely useful in order to find the origin of subtle bugs, because pdb
-opens up at the point in your code which triggered the exception, and
-while your program is at this point 'dead', all the data is still
-available and you can walk up and down the stack frame and understand
-the origin of the problem.
-
-Furthermore, you can use these debugging facilities both with the
-embedded IPython mode and without IPython at all. For an embedded shell
-(see sec. Embedding_), simply call the constructor with
-'-pdb' in the argument string and automatically pdb will be called if an
-uncaught exception is triggered by your code.
-
-For stand-alone use of the feature in your programs which do not use
-IPython at all, put the following lines toward the top of your 'main'
-routine::
-
-    import sys,IPython.ultraTB  
-    sys.excepthook = IPython.ultraTB.FormattedTB(mode='Verbose',
-    color_scheme='Linux', call_pdb=1)
-
-The mode keyword can be either 'Verbose' or 'Plain', giving either very
-detailed or normal tracebacks respectively. The color_scheme keyword can
-be one of 'NoColor', 'Linux' (default) or 'LightBG'. These are the same
-options which can be set in IPython with -colors and -xmode.
-
-This will give any of your programs detailed, colored tracebacks with
-automatic invocation of pdb.
-
-
-Extensions for syntax processing
-================================
-
-This isn't for the faint of heart, because the potential for breaking
-things is quite high. But it can be a very powerful and useful feature.
-In a nutshell, you can redefine the way IPython processes the user input
-line to accept new, special extensions to the syntax without needing to
-change any of IPython's own code.
-
-In the IPython/Extensions directory you will find some examples
-supplied, which we will briefly describe now. These can be used 'as is'
-(and both provide very useful functionality), or you can use them as a
-starting point for writing your own extensions.
-
-
-Pasting of code starting with '>>> ' or '... '
-----------------------------------------------
-
-In the python tutorial it is common to find code examples which have
-been taken from real python sessions. The problem with those is that all
-the lines begin with either '>>> ' or '... ', which makes it impossible
-to paste them all at once. One must instead do a line by line manual
-copying, carefully removing the leading extraneous characters.
-
-This extension identifies those starting characters and removes them
-from the input automatically, so that one can paste multi-line examples
-directly into IPython, saving a lot of time. Please look at the file
-InterpreterPasteInput.py in the IPython/Extensions directory for details
-on how this is done.
-
-IPython comes with a special profile enabling this feature, called
-tutorial. Simply start IPython via 'ipython -p tutorial' and the feature
-will be available. In a normal IPython session you can activate the
-feature by importing the corresponding module with:
-In [1]: import IPython.Extensions.InterpreterPasteInput
-
-The following is a 'screenshot' of how things work when this extension
-is on, copying an example from the standard tutorial::
-
-    IPython profile: tutorial 
-
-    *** Pasting of code with ">>>" or "..." has been enabled. 
-
-    In [1]: >>> def fib2(n): # return Fibonacci series up to n 
-       ...: ...     """Return a list containing the Fibonacci series up to
-    n.""" 
-       ...: ...     result = [] 
-       ...: ...     a, b = 0, 1 
-       ...: ...     while b < n: 
-       ...: ...         result.append(b)    # see below 
-       ...: ...         a, b = b, a+b 
-       ...: ...     return result 
-       ...: 
-
-    In [2]: fib2(10) 
-    Out[2]: [1, 1, 2, 3, 5, 8]
-
-Note that as currently written, this extension does not recognize
-IPython's prompts for pasting. Those are more complicated, since the
-user can change them very easily, they involve numbers and can vary in
-length. One could however extract all the relevant information from the
-IPython instance and build an appropriate regular expression. This is
-left as an exercise for the reader.
-
-
-Input of physical quantities with units
----------------------------------------
-
-The module PhysicalQInput allows a simplified form of input for physical
-quantities with units. This file is meant to be used in conjunction with
-the PhysicalQInteractive module (in the same directory) and
-Physics.PhysicalQuantities from Konrad Hinsen's ScientificPython
-(http://dirac.cnrs-orleans.fr/ScientificPython/).
-
-The Physics.PhysicalQuantities module defines PhysicalQuantity objects,
-but these must be declared as instances of a class. For example, to
-define v as a velocity of 3 m/s, normally you would write::
-
-    In [1]: v = PhysicalQuantity(3,'m/s')
-
-Using the PhysicalQ_Input extension this can be input instead as: 
-In [1]: v = 3 m/s
-which is much more convenient for interactive use (even though it is
-blatantly invalid Python syntax).
-
-The physics profile supplied with IPython (enabled via 'ipython -p
-physics') uses these extensions, which you can also activate with:
-
-from math import * # math MUST be imported BEFORE PhysicalQInteractive 
-from IPython.Extensions.PhysicalQInteractive import * 
-import IPython.Extensions.PhysicalQInput
-
-
-IPython as a system shell - the 'Sh' profile
-============================================
-
-The 'sh' profile optimizes IPython for system shell usage. Apart from
-certain job control functionality that is present in unix (ctrl+z does
-"suspend"), the sh profile should provide you with most of the
-functionality you use daily in system shell, and more. Invoke IPython
-in 'sh' profile by doing 'ipython -p sh', or (in win32) by launching
-the "pysh" shortcut in start menu.
-
-If you want to use the features of sh profile as your defaults (which
-might be a good idea if you use other profiles a lot of the time but
-still want the convenience of sh profile), add ``import ipy_profile_sh``
-to your ~/.ipython/ipy_user_conf.py.
-
-The 'sh' profile is different from the default profile in that:
-
- * Prompt shows the current directory
- * Spacing between prompts and input is more compact (no padding with
-   empty lines). The startup banner is more compact as well.
- * System commands are directly available (in alias table) without
-   requesting %rehashx - however, if you install new programs along
-   your PATH, you might want to run %rehashx to update the persistent
-   alias table
- * Macros are stored in raw format by default. That is, instead of
-   '_ip.system("cat foo"), the macro will contain text 'cat foo')
- * Autocall is in full mode
- * Calling "up" does "cd .."
-
-The 'sh' profile is different from the now-obsolete (and unavailable)
-'pysh' profile in that:
-
- * '$$var = command' and '$var = command' syntax is not supported
- * anymore. Use 'var = !command' instead (incidentally, this is
- * available in all IPython profiles). Note that !!command *will*
- * work.
-
-Aliases
--------
-
-All of your $PATH has been loaded as IPython aliases, so you should be
-able to type any normal system command and have it executed. See
-%alias?  and %unalias? for details on the alias facilities. See also
-%rehashx? for details on the mechanism used to load $PATH.
-
-
-Directory management
---------------------
-
-Since each command passed by ipython to the underlying system is executed
-in a subshell which exits immediately, you can NOT use !cd to navigate
-the filesystem.
-
-IPython provides its own builtin '%cd' magic command to move in the
-filesystem (the % is not required with automagic on). It also maintains
-a list of visited directories (use %dhist to see it) and allows direct
-switching to any of them. Type 'cd?' for more details.
-
-%pushd, %popd and %dirs are provided for directory stack handling.
-
-
-Enabled extensions
-------------------
-
-Some extensions, listed below, are enabled as default in this profile.
-
-envpersist
-++++++++++
-
-%env can be used to "remember" environment variable manipulations. Examples::
-
-	%env - Show all environment variables
-	%env VISUAL=jed  - set VISUAL to jed
-	%env PATH+=;/foo - append ;foo to PATH
-	%env PATH+=;/bar - also append ;bar to PATH
-	%env PATH-=/wbin; - prepend /wbin; to PATH
-	%env -d VISUAL   - forget VISUAL persistent val
-	%env -p          - print all persistent env modifications
-
-ipy_which
-+++++++++
-
-%which magic command. Like 'which' in unix, but knows about ipython aliases.
-
-Example::
-
- [C:/ipython]|14> %which st
- st -> start .
- [C:/ipython]|15> %which d
- d -> dir /w /og /on
- [C:/ipython]|16> %which cp
- cp -> cp
-   == c:\bin\cp.exe
- c:\bin\cp.exe
-
-ipy_app_completers
-++++++++++++++++++
-
-Custom tab completers for some apps like svn, hg, bzr, apt-get. Try 'apt-get install <TAB>' in debian/ubuntu.
-
-ipy_rehashdir
-+++++++++++++
-
-Allows you to add system command aliases for commands that are not along your path. Let's say that you just installed Putty and want to be able to invoke it without adding it to path, you can create the alias for it with rehashdir::
-
- [~]|22> cd c:/opt/PuTTY/
- [c:opt/PuTTY]|23> rehashdir .
-              <23> ['pageant', 'plink', 'pscp', 'psftp', 'putty', 'puttygen', 'unins000']
-
-Now, you can execute any of those commams directly::
-
- [c:opt/PuTTY]|24> cd
- [~]|25> putty
-
-(the putty window opens).
-
-If you want to store the alias so that it will always be available, do '%store putty'. If you want to %store all these aliases persistently, just do it in a for loop::
-
- [~]|27> for a in _23:
-    |..>     %store $a
-    |..>
-    |..>
- Alias stored: pageant (0, 'c:\\opt\\PuTTY\\pageant.exe')
- Alias stored: plink (0, 'c:\\opt\\PuTTY\\plink.exe')
- Alias stored: pscp (0, 'c:\\opt\\PuTTY\\pscp.exe')
- Alias stored: psftp (0, 'c:\\opt\\PuTTY\\psftp.exe')
- ...
-
-mglob
-+++++
-
-Provide the magic function %mglob, which makes it easier (than the 'find' command) to collect (possibly recursive) file lists. Examples::
-
- [c:/ipython]|9> mglob *.py
- [c:/ipython]|10> mglob *.py rec:*.txt
- [c:/ipython]|19> workfiles = %mglob !.svn/ !.hg/ !*_Data/ !*.bak rec:.
-
-Note that the first 2 calls will put the file list in result history (_, _9, _10), and the last one will assign it to 'workfiles'.
-
-
-Prompt customization
---------------------
-
-The sh profile uses the following prompt configurations::
-
-    o.prompt_in1= r'\C_LightBlue[\C_LightCyan\Y2\C_LightBlue]\C_Green|\#>'
-    o.prompt_in2= r'\C_Green|\C_LightGreen\D\C_Green>'
-
-You can change the prompt configuration to your liking by editing
-ipy_user_conf.py.  
-
-String lists
-============
-
-String lists (IPython.genutils.SList) are handy way to process output
-from system commands. They are produced by ``var = !cmd`` syntax.
-
-First, we acquire the output of 'ls -l'::
-
-    [Q:doc/examples]|2> lines = !ls -l
-     ==
-    ['total 23',
-     '-rw-rw-rw- 1 ville None 1163 Sep 30  2006 example-demo.py',
-     '-rw-rw-rw- 1 ville None 1927 Sep 30  2006 example-embed-short.py',
-     '-rwxrwxrwx 1 ville None 4606 Sep  1 17:15 example-embed.py',
-     '-rwxrwxrwx 1 ville None 1017 Sep 30  2006 example-gnuplot.py',
-     '-rwxrwxrwx 1 ville None  339 Jun 11 18:01 extension.py',
-     '-rwxrwxrwx 1 ville None  113 Dec 20  2006 seteditor.py',
-     '-rwxrwxrwx 1 ville None  245 Dec 12  2006 seteditor.pyc']
-
-Now, let's take a look at the contents of 'lines' (the first number is
-the list element number)::
-
-    [Q:doc/examples]|3> lines
-                    <3> SList (.p, .n, .l, .s, .grep(), .fields() available). Value:
-
-    0: total 23
-    1: -rw-rw-rw- 1 ville None 1163 Sep 30  2006 example-demo.py
-    2: -rw-rw-rw- 1 ville None 1927 Sep 30  2006 example-embed-short.py
-    3: -rwxrwxrwx 1 ville None 4606 Sep  1 17:15 example-embed.py
-    4: -rwxrwxrwx 1 ville None 1017 Sep 30  2006 example-gnuplot.py
-    5: -rwxrwxrwx 1 ville None  339 Jun 11 18:01 extension.py
-    6: -rwxrwxrwx 1 ville None  113 Dec 20  2006 seteditor.py
-    7: -rwxrwxrwx 1 ville None  245 Dec 12  2006 seteditor.pyc
-
-Now, let's filter out the 'embed' lines::
-
-    [Q:doc/examples]|4> l2 = lines.grep('embed',prune=1)
-    [Q:doc/examples]|5> l2
-                    <5> SList (.p, .n, .l, .s, .grep(), .fields() available). Value:
-
-    0: total 23
-    1: -rw-rw-rw- 1 ville None 1163 Sep 30  2006 example-demo.py
-    2: -rwxrwxrwx 1 ville None 1017 Sep 30  2006 example-gnuplot.py
-    3: -rwxrwxrwx 1 ville None  339 Jun 11 18:01 extension.py
-    4: -rwxrwxrwx 1 ville None  113 Dec 20  2006 seteditor.py
-    5: -rwxrwxrwx 1 ville None  245 Dec 12  2006 seteditor.pyc
-
-Now, we want strings having just file names and permissions::
-
-    [Q:doc/examples]|6> l2.fields(8,0)
-                    <6> SList (.p, .n, .l, .s, .grep(), .fields() available). Value:
-
-    0: total
-    1: example-demo.py -rw-rw-rw-
-    2: example-gnuplot.py -rwxrwxrwx
-    3: extension.py -rwxrwxrwx
-    4: seteditor.py -rwxrwxrwx
-    5: seteditor.pyc -rwxrwxrwx
-
-Note how the line with 'total' does not raise IndexError.
-
-If you want to split these (yielding lists), call fields() without
-arguments::
-
-    [Q:doc/examples]|7> _.fields()
-                    <7>
-    [['total'],
-     ['example-demo.py', '-rw-rw-rw-'],
-     ['example-gnuplot.py', '-rwxrwxrwx'],
-     ['extension.py', '-rwxrwxrwx'],
-     ['seteditor.py', '-rwxrwxrwx'],
-     ['seteditor.pyc', '-rwxrwxrwx']]
-
-If you want to pass these separated with spaces to a command (typical
-for lists if files), use the .s property::
-
-
-    [Q:doc/examples]|13> files = l2.fields(8).s
-    [Q:doc/examples]|14> files
-                    <14> 'example-demo.py example-gnuplot.py extension.py seteditor.py seteditor.pyc'
-    [Q:doc/examples]|15> ls $files
-    example-demo.py  example-gnuplot.py  extension.py  seteditor.py  seteditor.pyc
-
-SLists are inherited from normal python lists, so every list method is
-available::
-
-    [Q:doc/examples]|21> lines.append('hey')
-
-
-Real world example: remove all files outside version control
-------------------------------------------------------------
-
-First, capture output of "hg status"::
-
-    [Q:/ipython]|28> out = !hg status
-     ==
-    ['M IPython\\Extensions\\ipy_kitcfg.py',
-     'M IPython\\Extensions\\ipy_rehashdir.py',
-    ...
-     '? build\\lib\\IPython\\Debugger.py',
-     '? build\\lib\\IPython\\Extensions\\InterpreterExec.py',
-     '? build\\lib\\IPython\\Extensions\\InterpreterPasteInput.py',
-    ...
-
-(lines starting with ? are not under version control).
-
-::
-
-    [Q:/ipython]|35> junk = out.grep(r'^\?').fields(1)
-    [Q:/ipython]|36> junk
-                <36> SList (.p, .n, .l, .s, .grep(), .fields() availab
-    ...
-    10: build\bdist.win32\winexe\temp\_ctypes.py
-    11: build\bdist.win32\winexe\temp\_hashlib.py
-    12: build\bdist.win32\winexe\temp\_socket.py
-
-Now we can just remove these files by doing 'rm $junk.s'. 
-
-The .s, .n, .p properties
--------------------------
-
-The '.s' property returns one string where lines are separated by
-single space (for convenient passing to system commands). The '.n'
-property return one string where the lines are separated by '\n'
-(i.e. the original output of the function). If the items in string
-list are file names, '.p' can be used to get a list of "path" objects
-for convenient file manipulation.
-
-
-Threading support
-=================
-
-WARNING: The threading support is still somewhat experimental, and it
-has only seen reasonable testing under Linux. Threaded code is
-particularly tricky to debug, and it tends to show extremely
-platform-dependent behavior. Since I only have access to Linux machines,
-I will have to rely on user's experiences and assistance for this area
-of IPython to improve under other platforms.
-
-IPython, via the -gthread , -qthread, -q4thread and -wthread options
-(described in Sec. `Threading options`_), can run in
-multithreaded mode to support pyGTK, Qt3, Qt4 and WXPython applications
-respectively. These GUI toolkits need to control the python main loop of
-execution, so under a normal Python interpreter, starting a pyGTK, Qt3,
-Qt4 or WXPython application will immediately freeze the shell.
-
-IPython, with one of these options (you can only use one at a time),
-separates the graphical loop and IPython's code execution run into
-different threads. This allows you to test interactively (with %run, for
-example) your GUI code without blocking.
-
-A nice mini-tutorial on using IPython along with the Qt Designer
-application is available at the SciPy wiki:
-http://www.scipy.org/Cookbook/Matplotlib/Qt_with_IPython_and_Designer.
-
-
-Tk issues
----------
-
-As indicated in Sec. `Threading options`_, a special -tk option is
-provided to try and allow Tk graphical applications to coexist
-interactively with WX, Qt or GTK ones. Whether this works at all,
-however, is very platform and configuration dependent. Please
-experiment with simple test cases before committing to using this
-combination of Tk and GTK/Qt/WX threading in a production environment.
-
-
-I/O pitfalls
-------------
-
-Be mindful that the Python interpreter switches between threads every
-$N$ bytecodes, where the default value as of Python 2.3 is $N=100.$ This
-value can be read by using the sys.getcheckinterval() function, and it
-can be reset via sys.setcheckinterval(N). This switching of threads can
-cause subtly confusing effects if one of your threads is doing file I/O.
-In text mode, most systems only flush file buffers when they encounter a
-'\n'. An instruction as simple as:: 
-
-  print >> filehandle, ''hello world''
-
-actually consists of several bytecodes, so it is possible that the
-newline does not reach your file before the next thread switch.
-Similarly, if you are writing to a file in binary mode, the file won't
-be flushed until the buffer fills, and your other thread may see
-apparently truncated files.
-
-For this reason, if you are using IPython's thread support and have (for
-example) a GUI application which will read data generated by files
-written to from the IPython thread, the safest approach is to open all
-of your files in unbuffered mode (the third argument to the file/open
-function is the buffering value)::
-
-  filehandle = open(filename,mode,0)
-
-This is obviously a brute force way of avoiding race conditions with the
-file buffering. If you want to do it cleanly, and you have a resource
-which is being shared by the interactive IPython loop and your GUI
-thread, you should really handle it with thread locking and
-syncrhonization properties. The Python documentation discusses these.
-
-.. _Interactive demos:
-
-Interactive demos with IPython
-==============================
-
-IPython ships with a basic system for running scripts interactively in
-sections, useful when presenting code to audiences. A few tags embedded
-in comments (so that the script remains valid Python code) divide a file
-into separate blocks, and the demo can be run one block at a time, with
-IPython printing (with syntax highlighting) the block before executing
-it, and returning to the interactive prompt after each block. The
-interactive namespace is updated after each block is run with the
-contents of the demo's namespace.
-
-This allows you to show a piece of code, run it and then execute
-interactively commands based on the variables just created. Once you
-want to continue, you simply execute the next block of the demo. The
-following listing shows the markup necessary for dividing a script into
-sections for execution as a demo::
-
-
-    """A simple interactive demo to illustrate the use of IPython's Demo class.
-
-    Any python script can be run as a demo, but that does little more than showing
-    it on-screen, syntax-highlighted in one shot.  If you add a little simple
-    markup, you can stop at specified intervals and return to the ipython prompt,
-    resuming execution later.
-    """
-
-    print 'Hello, welcome to an interactive IPython demo.'
-    print 'Executing this block should require confirmation before proceeding,'
-    print 'unless auto_all has been set to true in the demo object'
-
-    # The mark below defines a block boundary, which is a point where IPython will
-    # stop execution and return to the interactive prompt.
-    # Note that in actual interactive execution, 
-    # <demo> --- stop ---
-
-    x = 1
-    y = 2
-
-    # <demo> --- stop ---
-
-    # the mark below makes this block as silent
-    # <demo> silent
-
-    print 'This is a silent block, which gets executed but not printed.'
-
-    # <demo> --- stop ---
-    # <demo> auto
-    print 'This is an automatic block.'
-    print 'It is executed without asking for confirmation, but printed.'
-    z = x+y
-
-    print 'z=',x
-
-    # <demo> --- stop ---
-    # This is just another normal block.
-    print 'z is now:', z
-
-    print 'bye!'
-
-In order to run a file as a demo, you must first make a Demo object out
-of it. If the file is named myscript.py, the following code will make a
-demo::
-
-    from IPython.demo import Demo
-
-    mydemo = Demo('myscript.py')
-
-This creates the mydemo object, whose blocks you run one at a time by
-simply calling the object with no arguments. If you have autocall active
-in IPython (the default), all you need to do is type::
-
-    mydemo 
-
-and IPython will call it, executing each block. Demo objects can be
-restarted, you can move forward or back skipping blocks, re-execute the
-last block, etc. Simply use the Tab key on a demo object to see its
-methods, and call '?' on them to see their docstrings for more usage
-details. In addition, the demo module itself contains a comprehensive
-docstring, which you can access via::
-
-    from IPython import demo
-
-    demo?
-
-Limitations: It is important to note that these demos are limited to
-fairly simple uses. In particular, you can not put division marks in
-indented code (loops, if statements, function definitions, etc.)
-Supporting something like this would basically require tracking the
-internal execution state of the Python interpreter, so only top-level
-divisions are allowed. If you want to be able to open an IPython
-instance at an arbitrary point in a program, you can use IPython's
-embedding facilities, described in detail in Sec. 9
-
-
-.. _Matplotlib support:
-
-Plotting with matplotlib
-========================
-
-The matplotlib library (http://matplotlib.sourceforge.net
-http://matplotlib.sourceforge.net) provides high quality 2D plotting for
-Python. Matplotlib can produce plots on screen using a variety of GUI
-toolkits, including Tk, GTK and WXPython. It also provides a number of
-commands useful for scientific computing, all with a syntax compatible
-with that of the popular Matlab program.
-
-IPython accepts the special option -pylab (Sec. `Command line
-options`_). This configures it to support matplotlib, honoring the
-settings in the .matplotlibrc file. IPython will detect the user's
-choice of matplotlib GUI backend, and automatically select the proper
-threading model to prevent blocking. It also sets matplotlib in
-interactive mode and modifies %run slightly, so that any
-matplotlib-based script can be executed using %run and the final
-show() command does not block the interactive shell.
-
-The -pylab option must be given first in order for IPython to
-configure its threading mode. However, you can still issue other
-options afterwards. This allows you to have a matplotlib-based
-environment customized with additional modules using the standard
-IPython profile mechanism (Sec. Profiles_): ''ipython -pylab -p
-myprofile'' will load the profile defined in ipythonrc-myprofile after
-configuring matplotlib.
-
-IPython Extension Api
-=====================
-
-IPython api (defined in IPython/ipapi.py) is the public api that
-should be used for
-
- * Configuration of user preferences (.ipython/ipy_user_conf.py)
- * Creating new profiles (.ipython/ipy_profile_PROFILENAME.py)
- * Writing extensions 
-
-Note that by using the extension api for configuration (editing
-ipy_user_conf.py instead of ipythonrc), you get better validity checks
-and get richer functionality - for example, you can import an
-extension and call functions in it to configure it for your purposes.
-
-For an example extension (the 'sh' profile), see
-IPython/Extensions/ipy_profile_sh.py.
-
-For the last word on what's available, see the source code of
-IPython/ipapi.py.
-
-
-Getting started
----------------
-
-If you want to define an extension, create a normal python module that
-can be imported. The module will access IPython functionality through
-the 'ip' object defined below.
-
-If you are creating a new profile (e.g. foobar), name the module as
-'ipy_profile_foobar.py' and put it in your ~/.ipython directory. Then,
-when you start ipython with the '-p foobar' argument, the module is
-automatically imported on ipython startup.
-
-If you are just doing some per-user configuration, you can either 
-
- * Put the commands directly into ipy_user_conf.py. 
-
- * Create a new module with your customization code and import *that*
-   module in ipy_user_conf.py. This is preferable to the first approach,
-   because now you can reuse and distribute your customization code.
-
-Getting a handle to the api
----------------------------
-
-Put this in the start of your module::
-
-    #!python
-    import IPython.ipapi
-    ip = IPython.ipapi.get()
-
-The 'ip' object will then be used for accessing IPython
-functionality. 'ip' will mean this api object in all the following
-code snippets. The same 'ip' that we just acquired is always
-accessible in interactive IPython sessions by the name _ip - play with
-it like this::
-
-    [~\_ipython]|81> a = 10
-    [~\_ipython]|82> _ip.e
-    _ip.ev           _ip.ex           _ip.expose_magic
-    [~\_ipython]|82> _ip.ev('a+13')
-                <82> 23
-
-The _ip object is also used in some examples in this document - it can
-be substituted by 'ip' in non-interactive use.
-
-Changing options
-----------------
-
-The ip object has 'options' attribute that can be used te get/set
-configuration options (just as in the ipythonrc file)::
-
-    o = ip.options
-    o.autocall = 2
-    o.automagic = 1
-
-Executing statements in IPython namespace with 'ex' and 'ev'
-------------------------------------------------------------
-
-Often, you want to e.g. import some module or define something that
-should be visible in IPython namespace. Use ``ip.ev`` to
-*evaluate* (calculate the value of) expression and ``ip.ex`` to
-'''execute''' a statement::
-
-    # path module will be visible to the interactive session
-    ip.ex("from path import path" )
-
-    # define a handy function 'up' that changes the working directory
-
-    ip.ex('import os')
-    ip.ex("def up(): os.chdir('..')")
-
-
-    # _i2 has the input history entry #2, print its value in uppercase.
-    print ip.ev('_i2.upper()')
-
-Accessing the IPython namespace
--------------------------------
-
-ip.user_ns attribute has a dictionary containing the IPython global
-namespace (the namespace visible in the interactive session).
-
-::
-
-    [~\_ipython]|84> tauno = 555
-    [~\_ipython]|85> _ip.user_ns['tauno']
-                <85> 555
-
-Defining new magic commands
----------------------------
-
-The following example defines a new magic command, %impall. What the
-command does should be obvious::
-
-    def doimp(self, arg):
-        ip = self.api
-        ip.ex("import %s; reload(%s); from %s import *" % (
-        arg,arg,arg)
-        )
-
-    ip.expose_magic('impall', doimp)
-
-Things to observe in this example:
-
- * Define a function that implements the magic command using the 
-   ipapi methods defined in this document
- * The first argument of the function is 'self', i.e. the 
-   interpreter object. It shouldn't be used directly. however. 
-   The interpreter object is probably *not* going to remain stable 
-   through IPython versions.
- * Access the ipapi through 'self.api' instead of the global 'ip' object.
- * All the text following the magic command on the command line is 
-   contained in the second argument
- * Expose the magic by ip.expose_magic()
-
-
-Calling magic functions and system commands
--------------------------------------------
-
-Use ip.magic() to execute a magic function, and ip.system() to execute
-a system command::
-
-    # go to a bookmark
-    ip.magic('%cd -b relfiles')
-
-    # execute 'ls -F' system command. Interchangeable with os.system('ls'), really.
-    ip.system('ls -F')
-
-Launching IPython instance from normal python code
---------------------------------------------------
-
-Use ipapi.launch_new_instance() with an argument that specifies the
-namespace to use. This can be useful for trivially embedding IPython
-into your program. Here's an example of normal python program test.py
-('''without''' an existing IPython session) that launches an IPython
-interpreter and regains control when the interpreter is exited::
-
-    [ipython]|1> cat test.py
-    my_ns = dict(
-        kissa = 15,
-        koira = 16)
-    import IPython.ipapi
-    print "launching IPython instance"
-    IPython.ipapi.launch_new_instance(my_ns)
-    print "Exited IPython instance!"
-    print "New vals:",my_ns['kissa'], my_ns['koira']
-
-And here's what it looks like when run (note how we don't start it
-from an ipython session)::
-
-    Q:\ipython>python test.py
-    launching IPython instance
-    Py 2.5 (r25:51908, Sep 19 2006, 09:52:17) [MSC v.1310 32 bit (Intel)] IPy 0.7.3b3.r1975
-    [ipython]|1> kissa = 444
-    [ipython]|2> koira = 555
-    [ipython]|3> Exit
-    Exited IPython instance!
-    New vals: 444 555
-
-Accessing unexposed functionality
----------------------------------
-
-There are still many features that are not exposed via the ipapi. If
-you can't avoid using them, you can use the functionality in
-InteractiveShell object (central IPython session class, defined in
-iplib.py) through ip.IP.
-
-For example::
-
-    [~]|7> _ip.IP.expand_aliases('np','myfile.py')
-       <7> 'c:/opt/Notepad++/notepad++.exe myfile.py'
-    [~]|8>
-
-Still, it's preferable that if you encounter such a feature, contact
-the IPython team and request that the functionality be exposed in a
-future version of IPython. Things not in ipapi are more likely to
-change over time.
-
-Provided extensions
-===================
-
-You can see the list of available extensions (and profiles) by doing
-``import ipy_<TAB>``. Some extensions don't have the ``ipy_`` prefix in
-module name, so you may need to see the contents of IPython/Extensions
-folder to see what's available.
-
-You can see a brief documentation of an extension by looking at the
-module docstring::
-
-    [c:p/ipython_main]|190> import ipy_fsops
-    [c:p/ipython_main]|191> ipy_fsops?
-
-    ...
-
-    Docstring:
-        File system operations
-
-    Contains: Simple variants of normal unix shell commands (icp, imv, irm,
-    imkdir, igrep).
-
-You can also install your own extensions - the recommended way is to
-just copy the module to ~/.ipython. Extensions are typically enabled
-by just importing them (e.g. in ipy_user_conf.py), but some extensions
-require additional steps, for example::
-
-    [c:p]|192> import ipy_traits_completer
-    [c:p]|193> ipy_traits_completer.activate()    
-
-Note that extensions, even if provided in the stock IPython
-installation, are not guaranteed to have the same requirements as the
-rest of IPython - an extension may require external libraries or a
-newer version of Python than what IPython officially requires. An
-extension may also be under a more restrictive license than IPython
-(e.g. ipy_bzr is under GPL).
-
-Just for reference, the list of bundled extensions at the time of
-writing is below:
-
-astyle.py clearcmd.py envpersist.py ext_rescapture.py ibrowse.py
-igrid.py InterpreterExec.py InterpreterPasteInput.py ipipe.py
-ipy_app_completers.py ipy_autoreload.py ipy_bzr.py ipy_completers.py
-ipy_constants.py ipy_defaults.py ipy_editors.py ipy_exportdb.py
-ipy_extutil.py ipy_fsops.py ipy_gnuglobal.py ipy_kitcfg.py
-ipy_legacy.py ipy_leo.py ipy_p4.py ipy_profile_doctest.py
-ipy_profile_none.py ipy_profile_scipy.py ipy_profile_sh.py
-ipy_profile_zope.py ipy_pydb.py ipy_rehashdir.py ipy_render.py
-ipy_server.py ipy_signals.py ipy_stock_completers.py
-ipy_system_conf.py ipy_traits_completer.py ipy_vimserver.py
-ipy_which.py ipy_workdir.py jobctrl.py ledit.py numeric_formats.py
-PhysicalQInput.py PhysicalQInteractive.py pickleshare.py
-pspersistence.py win32clip.py __init__.py
-
-Reporting bugs
-==============
-
-Automatic crash reports
------------------------
-
-Ideally, IPython itself shouldn't crash. It will catch exceptions
-produced by you, but bugs in its internals will still crash it.
-
-In such a situation, IPython will leave a file named
-IPython_crash_report.txt in your IPYTHONDIR directory (that way if
-crashes happen several times it won't litter many directories, the
-post-mortem file is always located in the same place and new
-occurrences just overwrite the previous one). If you can mail this
-file to the developers (see sec. credits_ for names and addresses), it
-will help us a lot in understanding the cause of the problem and
-fixing it sooner.
-
-
-The bug tracker
----------------
-
-IPython also has an online bug-tracker, located at
-http://projects.scipy.org/ipython/ipython/report/1. In addition to
-mailing the developers, it would be a good idea to file a bug report
-here. This will ensure that the issue is properly followed to
-conclusion. To report new bugs you will have to register first.
-
-You can also use this bug tracker to file feature requests.
-
-Brief history
-=============
-
-
-Origins
--------
-
-The current IPython system grew out of the following three projects:
-
-    * [ipython] by Fernando Pérez. I was working on adding
-      Mathematica-type prompts and a flexible configuration system
-      (something better than $PYTHONSTARTUP) to the standard Python
-      interactive interpreter.
-    * [IPP] by Janko Hauser. Very well organized, great usability. Had
-      an old help system. IPP was used as the 'container' code into
-      which I added the functionality from ipython and LazyPython.
-    * [LazyPython] by Nathan Gray. Simple but very powerful. The quick
-      syntax (auto parens, auto quotes) and verbose/colored tracebacks
-      were all taken from here.
-
-When I found out about IPP and LazyPython I tried to join all three
-into a unified system. I thought this could provide a very nice
-working environment, both for regular programming and scientific
-computing: shell-like features, IDL/Matlab numerics, Mathematica-type
-prompt history and great object introspection and help facilities. I
-think it worked reasonably well, though it was a lot more work than I
-had initially planned.
-
-
-Current status
---------------
-
-The above listed features work, and quite well for the most part. But
-until a major internal restructuring is done (see below), only bug
-fixing will be done, no other features will be added (unless very minor
-and well localized in the cleaner parts of the code).
-
-IPython consists of some 18000 lines of pure python code, of which
-roughly two thirds is reasonably clean. The rest is, messy code which
-needs a massive restructuring before any further major work is done.
-Even the messy code is fairly well documented though, and most of the
-problems in the (non-existent) class design are well pointed to by a
-PyChecker run. So the rewriting work isn't that bad, it will just be
-time-consuming.
-
-
-Future
-------
-
-See the separate new_design document for details. Ultimately, I would
-like to see IPython become part of the standard Python distribution as a
-'big brother with batteries' to the standard Python interactive
-interpreter. But that will never happen with the current state of the
-code, so all contributions are welcome.
-
-License
-=======
-
-IPython is released under the terms of the BSD license, whose general
-form can be found at:
-http://www.opensource.org/licenses/bsd-license.php. The full text of the
-IPython license is reproduced below::
-
-    IPython is released under a BSD-type license.
-
-    Copyright (c) 2001, 2002, 2003, 2004 Fernando Perez
-    <[e-mail]>.
-
-    Copyright (c) 2001 Janko Hauser <[e-mail]> and  
-    Nathaniel Gray <[e-mail]>.
-
-    All rights reserved.
-
-    Redistribution and use in source and binary forms, with or without
-    modification, are permitted provided that the following conditions
-    are met:
-
-    a. Redistributions of source code must retain the above copyright
-    notice, this list of conditions and the following disclaimer.
-
-    b. Redistributions in binary form must reproduce the above copyright
-    notice, this list of conditions and the following disclaimer in the
-    documentation and/or other materials provided with the distribution.
-
-    c. Neither the name of the copyright holders nor the names of any
-    contributors to this software may be used to endorse or promote
-    products derived from this software without specific prior written
-    permission.
-
-    THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
-    "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
-    LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS
-    FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE
-    REGENTS OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT,
-    INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING,
-    BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
-    LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
-    CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT
-    LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN
-    ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE
-    POSSIBILITY OF SUCH DAMAGE. 
-
-Individual authors are the holders of the copyright for their code and
-are listed in each file.
-
-Some files (DPyGetOpt.py, for example) may be licensed under different
-conditions. Ultimately each file indicates clearly the conditions under
-which its author/authors have decided to publish the code.
-
-Versions of IPython up to and including 0.6.3 were released under the
-GNU Lesser General Public License (LGPL), available at
-http://www.gnu.org/copyleft/lesser.html.
-
-Credits
-=======
-
-IPython is mainly developed by Fernando Pérez
-<[e-mail]>, but the project was born from mixing in
-Fernando's code with the IPP project by Janko Hauser
-<jhauser-AT-zscout.de> and LazyPython by Nathan Gray
-<n8gray-AT-caltech.edu>. For all IPython-related requests, please
-contact Fernando.
-
-As of early 2006, the following developers have joined the core team:
-
-    * [Robert Kern] <rkern-AT-enthought.com>: co-mentored the 2005
-      Google Summer of Code project to develop python interactive
-      notebooks (XML documents) and graphical interface. This project
-      was awarded to the students Tzanko Matev <tsanko-AT-gmail.com> and
-      Toni Alatalo <antont-AT-an.org>
-    * [Brian Granger] <bgranger-AT-scu.edu>: extending IPython to allow
-      support for interactive parallel computing.
-    * [Ville Vainio] <vivainio-AT-gmail.com>: Ville is the new
-      maintainer for the main trunk of IPython after version 0.7.1.
-
-User or development help should be requested via the IPython mailing lists:
-
-*User list:*
-    http://scipy.net/mailman/listinfo/ipython-user 
-*Developer's list:*
-    http://scipy.net/mailman/listinfo/ipython-dev 
-
-The IPython project is also very grateful to:
-
-Bill Bumgarner <bbum-AT-friday.com>: for providing the DPyGetOpt module
-which gives very powerful and convenient handling of command-line
-options (light years ahead of what Python 2.1.1's getopt module does).
-
-Ka-Ping Yee <ping-AT-lfw.org>: for providing the Itpl module for
-convenient and powerful string interpolation with a much nicer syntax
-than formatting through the '%' operator.
-
-Arnd Baecker <baecker-AT-physik.tu-dresden.de>: for his many very useful
-suggestions and comments, and lots of help with testing and
-documentation checking. Many of IPython's newer features are a result of
-discussions with him (bugs are still my fault, not his).
-
-Obviously Guido van Rossum and the whole Python development team, that
-goes without saying.
-
-IPython's website is generously hosted at http://ipython.scipy.orgby
-Enthought (http://www.enthought.com). I am very grateful to them and all
-of the SciPy team for their contribution.
-
-Fernando would also like to thank Stephen Figgins <fig-AT-monitor.net>,
-an O'Reilly Python editor. His Oct/11/2001 article about IPP and
-LazyPython, was what got this project started. You can read it at:
-http://www.onlamp.com/pub/a/python/2001/10/11/pythonnews.html.
-
-And last but not least, all the kind IPython users who have emailed new
-code, bug reports, fixes, comments and ideas. A brief list follows,
-please let me know if I have ommitted your name by accident:
-
-    * [Jack Moffit] <jack-AT-xiph.org> Bug fixes, including the infamous
-      color problem. This bug alone caused many lost hours and
-      frustration, many thanks to him for the fix. I've always been a
-      fan of Ogg & friends, now I have one more reason to like these folks.
-      Jack is also contributing with Debian packaging and many other
-      things.
-    * [Alexander Schmolck] <a.schmolck-AT-gmx.net> Emacs work, bug
-      reports, bug fixes, ideas, lots more. The ipython.el mode for
-      (X)Emacs is Alex's code, providing full support for IPython under
-      (X)Emacs.
-    * [Andrea Riciputi] <andrea.riciputi-AT-libero.it> Mac OSX
-      information, Fink package management.
-    * [Gary Bishop] <gb-AT-cs.unc.edu> Bug reports, and patches to work
-      around the exception handling idiosyncracies of WxPython. Readline
-      and color support for Windows.
-    * [Jeffrey Collins] <Jeff.Collins-AT-vexcel.com> Bug reports. Much
-      improved readline support, including fixes for Python 2.3.
-    * [Dryice Liu] <dryice-AT-liu.com.cn> FreeBSD port.
-    * [Mike Heeter] <korora-AT-SDF.LONESTAR.ORG>
-    * [Christopher Hart] <hart-AT-caltech.edu> PDB integration.
-    * [Milan Zamazal] <pdm-AT-zamazal.org> Emacs info.
-    * [Philip Hisley] <compsys-AT-starpower.net>
-    * [Holger Krekel] <pyth-AT-devel.trillke.net> Tab completion, lots
-      more.
-    * [Robin Siebler] <robinsiebler-AT-starband.net>
-    * [Ralf Ahlbrink] <ralf_ahlbrink-AT-web.de>
-    * [Thorsten Kampe] <thorsten-AT-thorstenkampe.de>
-    * [Fredrik Kant] <fredrik.kant-AT-front.com> Windows setup.
-    * [Syver Enstad] <syver-en-AT-online.no> Windows setup.
-    * [Richard] <rxe-AT-renre-europe.com> Global embedding.
-    * [Hayden Callow] <h.callow-AT-elec.canterbury.ac.nz> Gnuplot.py 1.6
-      compatibility.
-    * [Leonardo Santagada] <retype-AT-terra.com.br> Fixes for Windows
-      installation.
-    * [Christopher Armstrong] <radix-AT-twistedmatrix.com> Bugfixes.
-    * [Francois Pinard] <pinard-AT-iro.umontreal.ca> Code and
-      documentation fixes.
-    * [Cory Dodt] <cdodt-AT-fcoe.k12.ca.us> Bug reports and Windows
-      ideas. Patches for Windows installer.
-    * [Olivier Aubert] <oaubert-AT-bat710.univ-lyon1.fr> New magics.
-    * [King C. Shu] <kingshu-AT-myrealbox.com> Autoindent patch.
-    * [Chris Drexler] <chris-AT-ac-drexler.de> Readline packages for
-      Win32/CygWin.
-    * [Gustavo Cordova Avila] <gcordova-AT-sismex.com> EvalDict code for
-      nice, lightweight string interpolation.
-    * [Kasper Souren] <Kasper.Souren-AT-ircam.fr> Bug reports, ideas.
-    * [Gever Tulley] <gever-AT-helium.com> Code contributions.
-    * [Ralf Schmitt] <ralf-AT-brainbot.com> Bug reports & fixes.
-    * [Oliver Sander] <osander-AT-gmx.de> Bug reports.
-    * [Rod Holland] <rhh-AT-structurelabs.com> Bug reports and fixes to
-      logging module.
-    * [Daniel 'Dang' Griffith] <pythondev-dang-AT-lazytwinacres.net>
-      Fixes, enhancement suggestions for system shell use.
-    * [Viktor Ransmayr] <viktor.ransmayr-AT-t-online.de> Tests and
-      reports on Windows installation issues. Contributed a true Windows
-      binary installer.
-    * [Mike Salib] <msalib-AT-mit.edu> Help fixing a subtle bug related
-      to traceback printing.
-    * [W.J. van der Laan] <gnufnork-AT-hetdigitalegat.nl> Bash-like
-      prompt specials.
-    * [Antoon Pardon] <Antoon.Pardon-AT-rece.vub.ac.be> Critical fix for
-      the multithreaded IPython.
-    * [John Hunter] <jdhunter-AT-nitace.bsd.uchicago.edu> Matplotlib
-      author, helped with all the development of support for matplotlib
-      in IPyhton, including making necessary changes to matplotlib itself.
-    * [Matthew Arnison] <maffew-AT-cat.org.au> Bug reports, '%run -d' idea.
-    * [Prabhu Ramachandran] <prabhu_r-AT-users.sourceforge.net> Help
-      with (X)Emacs support, threading patches, ideas...
-    * [Norbert Tretkowski] <tretkowski-AT-inittab.de> help with Debian
-      packaging and distribution.
-    * [George Sakkis] <gsakkis-AT-eden.rutgers.edu> New matcher for
-      tab-completing named arguments of user-defined functions.
-    * [Jörgen Stenarson] <jorgen.stenarson-AT-bostream.nu> Wildcard
-      support implementation for searching namespaces.
-    * [Vivian De Smedt] <vivian-AT-vdesmedt.com> Debugger enhancements,
-      so that when pdb is activated from within IPython, coloring, tab
-      completion and other features continue to work seamlessly.
-    * [Scott Tsai] <scottt958-AT-yahoo.com.tw> Support for automatic
-      editor invocation on syntax errors (see
-      http://www.scipy.net/roundup/ipython/issue36).
-    * [Alexander Belchenko] <bialix-AT-ukr.net> Improvements for win32
-      paging system.
-    * [Will Maier] <willmaier-AT-ml1.net> Official OpenBSD port.
-