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"""IPython customization API
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Your one-stop module for configuring & extending ipython
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The API will probably break when ipython 1.0 is released, but so
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will the other configuration method (rc files).
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All names prefixed by underscores are for internal use, not part
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of the public api.
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Below is an example that you can just put to a module and import from ipython.
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A good practice is to install the config script below as e.g.
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~/.ipython/my_private_conf.py
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And do
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import_mod my_private_conf
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in ~/.ipython/ipythonrc
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That way the module is imported at startup and you can have all your
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personal configuration (as opposed to boilerplate ipythonrc-PROFILENAME
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stuff) in there.
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import IPython.ipapi
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ip = IPython.ipapi.get()
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def ankka_f(self, arg):
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print 'Ankka',self,'says uppercase:',arg.upper()
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ip.expose_magic('ankka',ankka_f)
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ip.magic('alias sayhi echo "Testing, hi ok"')
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ip.magic('alias helloworld echo "Hello world"')
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ip.system('pwd')
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ip.ex('import re')
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ip.ex('''
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def funcci(a,b):
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print a+b
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print funcci(3,4)
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''')
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ip.ex('funcci(348,9)')
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def jed_editor(self,filename, linenum=None):
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print 'Calling my own editor, jed ... via hook!'
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import os
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if linenum is None: linenum = 0
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os.system('jed +%d %s' % (linenum, filename))
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print 'exiting jed'
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ip.set_hook('editor',jed_editor)
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o = ip.options
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o.autocall = 2 # FULL autocall mode
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print 'done!'
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"""
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#-----------------------------------------------------------------------------
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# Modules and globals
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# stdlib imports
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import __builtin__
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import sys
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# contains the most recently instantiated IPApi
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_RECENT_IP = None
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#-----------------------------------------------------------------------------
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# Code begins
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class TryNext(Exception):
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"""Try next hook exception.
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Raise this in your hook function to indicate that the next hook handler
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should be used to handle the operation. If you pass arguments to the
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constructor those arguments will be used by the next hook instead of the
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original ones.
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"""
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def __init__(self, *args, **kwargs):
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self.args = args
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self.kwargs = kwargs
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class UsageError(Exception):
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""" Error in magic function arguments, etc.
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Something that probably won't warrant a full traceback, but should
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nevertheless interrupt a macro / batch file.
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"""
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class IPyAutocall:
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""" Instances of this class are always autocalled
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This happens regardless of 'autocall' variable state. Use this to
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develop macro-like mechanisms.
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"""
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def set_ip(self,ip):
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""" Will be used to set _ip point to current ipython instance b/f call
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Override this method if you don't want this to happen.
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"""
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self._ip = ip
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class IPythonNotRunning:
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"""Dummy do-nothing class.
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Instances of this class return a dummy attribute on all accesses, which
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can be called and warns. This makes it easier to write scripts which use
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the ipapi.get() object for informational purposes to operate both with and
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without ipython. Obviously code which uses the ipython object for
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computations will not work, but this allows a wider range of code to
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transparently work whether ipython is being used or not."""
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def __init__(self,warn=True):
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if warn:
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self.dummy = self._dummy_warn
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else:
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self.dummy = self._dummy_silent
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def __str__(self):
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return "<IPythonNotRunning>"
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__repr__ = __str__
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def __getattr__(self,name):
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return self.dummy
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def _dummy_warn(self,*args,**kw):
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"""Dummy function, which doesn't do anything but warn."""
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print ("IPython is not running, this is a dummy no-op function")
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def _dummy_silent(self,*args,**kw):
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"""Dummy function, which doesn't do anything and emits no warnings."""
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pass
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def get(allow_dummy=False,dummy_warn=True):
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"""Get an IPApi object.
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If allow_dummy is true, returns an instance of IPythonNotRunning
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instead of None if not running under IPython.
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If dummy_warn is false, the dummy instance will be completely silent.
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Running this should be the first thing you do when writing extensions that
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can be imported as normal modules. You can then direct all the
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configuration operations against the returned object.
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"""
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global _RECENT_IP
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if allow_dummy and not _RECENT_IP:
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_RECENT_IP = IPythonNotRunning(dummy_warn)
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return _RECENT_IP
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class IPApi(object):
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""" The actual API class for configuring IPython
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You should do all of the IPython configuration by getting an IPApi object
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with IPython.ipapi.get() and using the attributes and methods of the
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returned object."""
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def __init__(self,ip):
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global _RECENT_IP
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# All attributes exposed here are considered to be the public API of
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# IPython. As needs dictate, some of these may be wrapped as
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# properties.
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self.magic = ip.ipmagic
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self.system = ip.system
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self.set_hook = ip.set_hook
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self.set_custom_exc = ip.set_custom_exc
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self.user_ns = ip.user_ns
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self.set_crash_handler = ip.set_crash_handler
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# Session-specific data store, which can be used to store
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# data that should persist through the ipython session.
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self.meta = ip.meta
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# The ipython instance provided
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self.IP = ip
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self.extensions = {}
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self.dbg = DebugTools(self)
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_RECENT_IP = self
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# Use a property for some things which are added to the instance very
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# late. I don't have time right now to disentangle the initialization
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# order issues, so a property lets us delay item extraction while
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# providing a normal attribute API.
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def get_db(self):
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"""A handle to persistent dict-like database (a PickleShareDB object)"""
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return self.IP.db
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db = property(get_db,None,None,get_db.__doc__)
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def get_options(self):
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"""All configurable variables."""
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# catch typos by disabling new attribute creation. If new attr creation
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# is in fact wanted (e.g. when exposing new options), do
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# allow_new_attr(True) for the received rc struct.
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self.IP.rc.allow_new_attr(False)
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return self.IP.rc
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options = property(get_options,None,None,get_options.__doc__)
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def expose_magic(self,magicname, func):
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"""Expose own function as magic function for ipython
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def foo_impl(self,parameter_s=''):
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'My very own magic!. (Use docstrings, IPython reads them).'
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print 'Magic function. Passed parameter is between < >:'
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print '<%s>' % parameter_s
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print 'The self object is:',self
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ipapi.expose_magic('foo',foo_impl)
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"""
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import new
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im = new.instancemethod(func,self.IP, self.IP.__class__)
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old = getattr(self.IP, "magic_" + magicname, None)
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if old:
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self.dbg.debug_stack("Magic redefinition '%s', old %s" %
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(magicname,old) )
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setattr(self.IP, "magic_" + magicname, im)
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def ex(self,cmd):
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""" Execute a normal python statement in user namespace """
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exec cmd in self.user_ns
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def ev(self,expr):
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""" Evaluate python expression expr in user namespace
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Returns the result of evaluation"""
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return eval(expr,self.user_ns)
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def runlines(self,lines):
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""" Run the specified lines in interpreter, honoring ipython directives.
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This allows %magic and !shell escape notations.
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Takes either all lines in one string or list of lines.
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"""
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def cleanup_ipy_script(script):
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""" Make a script safe for _ip.runlines()
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- Removes empty lines Suffixes all indented blocks that end with
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- unindented lines with empty lines
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"""
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res = []
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lines = script.splitlines()
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level = 0
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for l in lines:
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lstripped = l.lstrip()
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stripped = l.strip()
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if not stripped:
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continue
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newlevel = len(l) - len(lstripped)
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def is_secondary_block_start(s):
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if not s.endswith(':'):
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return False
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if (s.startswith('elif') or
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s.startswith('else') or
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s.startswith('except') or
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s.startswith('finally')):
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return True
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if level > 0 and newlevel == 0 and \
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not is_secondary_block_start(stripped):
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# add empty line
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res.append('')
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res.append(l)
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level = newlevel
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return '\n'.join(res) + '\n'
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if isinstance(lines,basestring):
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script = lines
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else:
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script = '\n'.join(lines)
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clean=cleanup_ipy_script(script)
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# print "_ip.runlines() script:\n",clean # dbg
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self.IP.runlines(clean)
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def to_user_ns(self,vars, interactive = True):
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"""Inject a group of variables into the IPython user namespace.
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Inputs:
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- vars: string with variable names separated by whitespace, or a
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dict with name/value pairs.
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- interactive: if True (default), the var will be listed with
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%whos et. al.
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This utility routine is meant to ease interactive debugging work,
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where you want to easily propagate some internal variable in your code
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up to the interactive namespace for further exploration.
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When you run code via %run, globals in your script become visible at
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the interactive prompt, but this doesn't happen for locals inside your
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own functions and methods. Yet when debugging, it is common to want
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to explore some internal variables further at the interactive propmt.
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Examples:
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To use this, you first must obtain a handle on the ipython object as
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indicated above, via:
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import IPython.ipapi
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ip = IPython.ipapi.get()
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Once this is done, inside a routine foo() where you want to expose
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variables x and y, you do the following:
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def foo():
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...
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x = your_computation()
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y = something_else()
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# This pushes x and y to the interactive prompt immediately, even
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# if this routine crashes on the next line after:
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ip.to_user_ns('x y')
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...
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# To expose *ALL* the local variables from the function, use:
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ip.to_user_ns(locals())
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...
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# return
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If you need to rename variables, the dict input makes it easy. For
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example, this call exposes variables 'foo' as 'x' and 'bar' as 'y'
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in IPython user namespace:
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ip.to_user_ns(dict(x=foo,y=bar))
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"""
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# print 'vars given:',vars # dbg
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# We need a dict of name/value pairs to do namespace updates.
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if isinstance(vars,dict):
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# If a dict was given, no need to change anything.
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vdict = vars
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elif isinstance(vars,basestring):
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# If a string with names was given, get the caller's frame to
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# evaluate the given names in
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cf = sys._getframe(1)
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vdict = {}
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for name in vars.split():
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try:
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vdict[name] = eval(name,cf.f_globals,cf.f_locals)
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except:
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print ('could not get var. %s from %s' %
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(name,cf.f_code.co_name))
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else:
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raise ValueError('vars must be a string or a dict')
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# Propagate variables to user namespace
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self.user_ns.update(vdict)
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# And configure interactive visibility
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config_ns = self.IP.user_config_ns
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if interactive:
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for name,val in vdict.iteritems():
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config_ns.pop(name,None)
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else:
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for name,val in vdict.iteritems():
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config_ns[name] = val
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def expand_alias(self,line):
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""" Expand an alias in the command line
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Returns the provided command line, possibly with the first word
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(command) translated according to alias expansion rules.
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[ipython]|16> _ip.expand_aliases("np myfile.txt")
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<16> 'q:/opt/np/notepad++.exe myfile.txt'
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"""
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pre,fn,rest = self.IP.split_user_input(line)
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res = pre + self.IP.expand_aliases(fn,rest)
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return res
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def itpl(self, s, depth = 1):
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""" Expand Itpl format string s.
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Only callable from command line (i.e. prefilter results);
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If you use in your scripts, you need to use a bigger depth!
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"""
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return self.IP.var_expand(s, depth)
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def defalias(self, name, cmd):
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""" Define a new alias
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_ip.defalias('bb','bldmake bldfiles')
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Creates a new alias named 'bb' in ipython user namespace
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"""
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self.dbg.check_hotname(name)
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if name in self.IP.alias_table:
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self.dbg.debug_stack("Alias redefinition: '%s' => '%s' (old '%s')"
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% (name, cmd, self.IP.alias_table[name]))
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if callable(cmd):
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self.IP.alias_table[name] = cmd
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import IPython.shadowns
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setattr(IPython.shadowns, name,cmd)
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return
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if isinstance(cmd,basestring):
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nargs = cmd.count('%s')
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if nargs>0 and cmd.find('%l')>=0:
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raise Exception('The %s and %l specifiers are mutually '
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'exclusive in alias definitions.')
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self.IP.alias_table[name] = (nargs,cmd)
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return
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# just put it in - it's probably (0,'foo')
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self.IP.alias_table[name] = cmd
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def defmacro(self, *args):
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""" Define a new macro
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2 forms of calling:
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mac = _ip.defmacro('print "hello"\nprint "world"')
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(doesn't put the created macro on user namespace)
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_ip.defmacro('build', 'bldmake bldfiles\nabld build winscw udeb')
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(creates a macro named 'build' in user namespace)
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"""
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import IPython.macro
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if len(args) == 1:
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return IPython.macro.Macro(args[0])
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elif len(args) == 2:
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self.user_ns[args[0]] = IPython.macro.Macro(args[1])
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else:
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return Exception("_ip.defmacro must be called with 1 or 2 arguments")
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|
def set_next_input(self, s):
|
|
|
""" Sets the 'default' input string for the next command line.
|
|
|
|
|
|
Requires readline.
|
|
|
|
|
|
Example:
|
|
|
|
|
|
[D:\ipython]|1> _ip.set_next_input("Hello Word")
|
|
|
[D:\ipython]|2> Hello Word_ # cursor is here
|
|
|
"""
|
|
|
|
|
|
self.IP.rl_next_input = s
|
|
|
|
|
|
def load(self, mod):
|
|
|
""" Load an extension.
|
|
|
|
|
|
Some modules should (or must) be 'load()':ed, rather than just imported.
|
|
|
|
|
|
Loading will do:
|
|
|
|
|
|
- run init_ipython(ip)
|
|
|
- run ipython_firstrun(ip)
|
|
|
"""
|
|
|
|
|
|
if mod in self.extensions:
|
|
|
# just to make sure we don't init it twice
|
|
|
# note that if you 'load' a module that has already been
|
|
|
# imported, init_ipython gets run anyway
|
|
|
|
|
|
return self.extensions[mod]
|
|
|
__import__(mod)
|
|
|
m = sys.modules[mod]
|
|
|
if hasattr(m,'init_ipython'):
|
|
|
m.init_ipython(self)
|
|
|
|
|
|
if hasattr(m,'ipython_firstrun'):
|
|
|
already_loaded = self.db.get('firstrun_done', set())
|
|
|
if mod not in already_loaded:
|
|
|
m.ipython_firstrun(self)
|
|
|
already_loaded.add(mod)
|
|
|
self.db['firstrun_done'] = already_loaded
|
|
|
|
|
|
self.extensions[mod] = m
|
|
|
return m
|
|
|
|
|
|
|
|
|
class DebugTools:
|
|
|
""" Used for debugging mishaps in api usage
|
|
|
|
|
|
So far, tracing redefinitions is supported.
|
|
|
"""
|
|
|
|
|
|
def __init__(self, ip):
|
|
|
self.ip = ip
|
|
|
self.debugmode = False
|
|
|
self.hotnames = set()
|
|
|
|
|
|
def hotname(self, name_to_catch):
|
|
|
self.hotnames.add(name_to_catch)
|
|
|
|
|
|
def debug_stack(self, msg = None):
|
|
|
if not self.debugmode:
|
|
|
return
|
|
|
|
|
|
import traceback
|
|
|
if msg is not None:
|
|
|
print '====== %s ========' % msg
|
|
|
traceback.print_stack()
|
|
|
|
|
|
def check_hotname(self,name):
|
|
|
if name in self.hotnames:
|
|
|
self.debug_stack( "HotName '%s' caught" % name)
|
|
|
|
|
|
|
|
|
def launch_new_instance(user_ns = None,shellclass = None):
|
|
|
""" Make and start a new ipython instance.
|
|
|
|
|
|
This can be called even without having an already initialized
|
|
|
ipython session running.
|
|
|
|
|
|
This is also used as the egg entry point for the 'ipython' script.
|
|
|
|
|
|
"""
|
|
|
ses = make_session(user_ns,shellclass)
|
|
|
ses.mainloop()
|
|
|
|
|
|
|
|
|
def make_user_ns(user_ns = None):
|
|
|
"""Return a valid user interactive namespace.
|
|
|
|
|
|
This builds a dict with the minimal information needed to operate as a
|
|
|
valid IPython user namespace, which you can pass to the various embedding
|
|
|
classes in ipython.
|
|
|
|
|
|
This API is currently deprecated. Use ipapi.make_user_namespaces() instead
|
|
|
to make both the local and global namespace objects simultaneously.
|
|
|
|
|
|
:Parameters:
|
|
|
user_ns : dict-like, optional
|
|
|
The current user namespace. The items in this namespace should be
|
|
|
included in the output. If None, an appropriate blank namespace
|
|
|
should be created.
|
|
|
|
|
|
:Returns:
|
|
|
A dictionary-like object to be used as the local namespace of the
|
|
|
interpreter.
|
|
|
"""
|
|
|
|
|
|
raise NotImplementedError
|
|
|
|
|
|
|
|
|
def make_user_global_ns(ns = None):
|
|
|
"""Return a valid user global namespace.
|
|
|
|
|
|
Similar to make_user_ns(), but global namespaces are really only needed in
|
|
|
embedded applications, where there is a distinction between the user's
|
|
|
interactive namespace and the global one where ipython is running.
|
|
|
|
|
|
This API is currently deprecated. Use ipapi.make_user_namespaces() instead
|
|
|
to make both the local and global namespace objects simultaneously.
|
|
|
|
|
|
:Parameters:
|
|
|
ns : dict, optional
|
|
|
The current user global namespace. The items in this namespace
|
|
|
should be included in the output. If None, an appropriate blank
|
|
|
namespace should be created.
|
|
|
|
|
|
:Returns:
|
|
|
A true dict to be used as the global namespace of the interpreter.
|
|
|
"""
|
|
|
|
|
|
raise NotImplementedError
|
|
|
|
|
|
# Record the true objects in order to be able to test if the user has overridden
|
|
|
# these API functions.
|
|
|
_make_user_ns = make_user_ns
|
|
|
_make_user_global_ns = make_user_global_ns
|
|
|
|
|
|
|
|
|
def make_user_namespaces(user_ns = None,user_global_ns = None):
|
|
|
"""Return a valid local and global user interactive namespaces.
|
|
|
|
|
|
This builds a dict with the minimal information needed to operate as a
|
|
|
valid IPython user namespace, which you can pass to the various embedding
|
|
|
classes in ipython. The default implementation returns the same dict for
|
|
|
both the locals and the globals to allow functions to refer to variables in
|
|
|
the namespace. Customized implementations can return different dicts. The
|
|
|
locals dictionary can actually be anything following the basic mapping
|
|
|
protocol of a dict, but the globals dict must be a true dict, not even
|
|
|
a subclass. It is recommended that any custom object for the locals
|
|
|
namespace synchronize with the globals dict somehow.
|
|
|
|
|
|
Raises TypeError if the provided globals namespace is not a true dict.
|
|
|
|
|
|
:Parameters:
|
|
|
user_ns : dict-like, optional
|
|
|
The current user namespace. The items in this namespace should be
|
|
|
included in the output. If None, an appropriate blank namespace
|
|
|
should be created.
|
|
|
user_global_ns : dict, optional
|
|
|
The current user global namespace. The items in this namespace
|
|
|
should be included in the output. If None, an appropriate blank
|
|
|
namespace should be created.
|
|
|
|
|
|
:Returns:
|
|
|
A tuple pair of dictionary-like object to be used as the local namespace
|
|
|
of the interpreter and a dict to be used as the global namespace.
|
|
|
"""
|
|
|
|
|
|
if user_ns is None:
|
|
|
if make_user_ns is not _make_user_ns:
|
|
|
# Old API overridden.
|
|
|
# FIXME: Issue DeprecationWarning, or just let the old API live on?
|
|
|
user_ns = make_user_ns(user_ns)
|
|
|
else:
|
|
|
# Set __name__ to __main__ to better match the behavior of the
|
|
|
# normal interpreter.
|
|
|
user_ns = {'__name__' :'__main__',
|
|
|
'__builtins__' : __builtin__,
|
|
|
}
|
|
|
else:
|
|
|
user_ns.setdefault('__name__','__main__')
|
|
|
user_ns.setdefault('__builtins__',__builtin__)
|
|
|
|
|
|
if user_global_ns is None:
|
|
|
if make_user_global_ns is not _make_user_global_ns:
|
|
|
# Old API overridden.
|
|
|
user_global_ns = make_user_global_ns(user_global_ns)
|
|
|
else:
|
|
|
user_global_ns = user_ns
|
|
|
if type(user_global_ns) is not dict:
|
|
|
raise TypeError("user_global_ns must be a true dict; got %r"
|
|
|
% type(user_global_ns))
|
|
|
|
|
|
return user_ns, user_global_ns
|
|
|
|
|
|
|
|
|
def make_session(user_ns = None, shellclass = None):
|
|
|
"""Makes, but does not launch an IPython session.
|
|
|
|
|
|
Later on you can call obj.mainloop() on the returned object.
|
|
|
|
|
|
Inputs:
|
|
|
|
|
|
- user_ns(None): a dict to be used as the user's namespace with initial
|
|
|
data.
|
|
|
|
|
|
WARNING: This should *not* be run when a session exists already."""
|
|
|
|
|
|
import IPython.Shell
|
|
|
if shellclass is None:
|
|
|
return IPython.Shell.start(user_ns)
|
|
|
return shellclass(user_ns = user_ns)
|
|
|
|
