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back out metadata copying for every mime-type
back out metadata copying for every mime-type

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Using Dill.ipynb
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MinRK
add parallel dill example
r13638 {
"metadata": {
"gist_id": "5241793",
"name": ""
},
"nbformat": 3,
"nbformat_minor": 0,
"worksheets": [
{
"cells": [
{
"cell_type": "heading",
"level": 1,
"metadata": {},
"source": [
"Using dill to pickle anything"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"IPython.parallel doesn't do much in the way of serialization.\n",
"It has custom zero-copy handling of numpy arrays,\n",
"but other than that, it doesn't do anything other than the bare minimum to make basic interactively defined functions and classes sendable.\n",
"\n",
"There are a few projects that extend pickle to make just about anything sendable, and one of these is [dill](http://www.cacr.caltech.edu/~mmckerns/dill).\n",
"\n",
"To install dill:\n",
" \n",
MinRK
add to dill example notebook...
r13878 " pip install --pre dill"
MinRK
add parallel dill example
r13638 ]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"First, as always, we create a task function, this time with a closure"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"def make_closure(a):\n",
" \"\"\"make a function with a closure, and return it\"\"\"\n",
" def has_closure(b):\n",
" return a * b\n",
" return has_closure"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 1
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"closed = make_closure(5)"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 2
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"closed(2)"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 3,
"text": [
"10"
]
}
],
"prompt_number": 3
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"import pickle"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 4
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Without help, pickle can't deal with closures"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"pickle.dumps(closed)"
],
"language": "python",
"metadata": {},
"outputs": [
{
"ename": "PicklingError",
MinRK
add to dill example notebook...
r13878 "evalue": "Can't pickle <function has_closure at 0x10412c6e0>: it's not found as __main__.has_closure",
MinRK
add parallel dill example
r13638 "output_type": "pyerr",
"traceback": [
"\u001b[1;31m---------------------------------------------------------------------------\u001b[0m\n\u001b[1;31mPicklingError\u001b[0m Traceback (most recent call last)",
"\u001b[1;32m<ipython-input-5-0f1f376cfea0>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m()\u001b[0m\n\u001b[1;32m----> 1\u001b[1;33m \u001b[0mpickle\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mdumps\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mclosed\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m",
"\u001b[1;32m/System/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/pickle.pyc\u001b[0m in \u001b[0;36mdumps\u001b[1;34m(obj, protocol)\u001b[0m\n\u001b[0;32m 1372\u001b[0m \u001b[1;32mdef\u001b[0m \u001b[0mdumps\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mobj\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mprotocol\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mNone\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 1373\u001b[0m \u001b[0mfile\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mStringIO\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m-> 1374\u001b[1;33m \u001b[0mPickler\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mfile\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mprotocol\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mdump\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mobj\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 1375\u001b[0m \u001b[1;32mreturn\u001b[0m \u001b[0mfile\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mgetvalue\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 1376\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n",
"\u001b[1;32m/System/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/pickle.pyc\u001b[0m in \u001b[0;36mdump\u001b[1;34m(self, obj)\u001b[0m\n\u001b[0;32m 222\u001b[0m \u001b[1;32mif\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mproto\u001b[0m \u001b[1;33m>=\u001b[0m \u001b[1;36m2\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 223\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mwrite\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mPROTO\u001b[0m \u001b[1;33m+\u001b[0m \u001b[0mchr\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mproto\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 224\u001b[1;33m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0msave\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mobj\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 225\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mwrite\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mSTOP\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 226\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n",
"\u001b[1;32m/System/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/pickle.pyc\u001b[0m in \u001b[0;36msave\u001b[1;34m(self, obj)\u001b[0m\n\u001b[0;32m 284\u001b[0m \u001b[0mf\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mdispatch\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mget\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mt\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 285\u001b[0m \u001b[1;32mif\u001b[0m \u001b[0mf\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 286\u001b[1;33m \u001b[0mf\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mobj\u001b[0m\u001b[1;33m)\u001b[0m \u001b[1;31m# Call unbound method with explicit self\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 287\u001b[0m \u001b[1;32mreturn\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 288\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n",
"\u001b[1;32m/System/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/pickle.pyc\u001b[0m in \u001b[0;36msave_global\u001b[1;34m(self, obj, name, pack)\u001b[0m\n\u001b[0;32m 746\u001b[0m raise PicklingError(\n\u001b[0;32m 747\u001b[0m \u001b[1;34m\"Can't pickle %r: it's not found as %s.%s\"\u001b[0m \u001b[1;33m%\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 748\u001b[1;33m (obj, module, name))\n\u001b[0m\u001b[0;32m 749\u001b[0m \u001b[1;32melse\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 750\u001b[0m \u001b[1;32mif\u001b[0m \u001b[0mklass\u001b[0m \u001b[1;32mis\u001b[0m \u001b[1;32mnot\u001b[0m \u001b[0mobj\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
MinRK
add to dill example notebook...
r13878 "\u001b[1;31mPicklingError\u001b[0m: Can't pickle <function has_closure at 0x10412c6e0>: it's not found as __main__.has_closure"
MinRK
add parallel dill example
r13638 ]
}
],
"prompt_number": 5
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"But after we import dill, magic happens"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"import dill"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 6
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"pickle.dumps(closed)[:64] + '...'"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 7,
"text": [
"\"cdill.dill\\n_load_type\\np0\\n(S'FunctionType'\\np1\\ntp2\\nRp3\\n(cdill.dill...\""
]
}
],
"prompt_number": 7
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"So from now on, pretty much everything is pickleable."
]
},
{
"cell_type": "heading",
"level": 2,
"metadata": {},
"source": [
"Now use this in IPython.parallel"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"As usual, we start by creating our Client and View"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"from IPython import parallel\n",
"rc = parallel.Client()\n",
"view = rc.load_balanced_view()"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 8
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Now let's try sending our function with a closure:"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"view.apply_sync(closed, 3)"
],
"language": "python",
"metadata": {},
"outputs": [
{
"ename": "ValueError",
"evalue": "Sorry, cannot pickle code objects with closures",
"output_type": "pyerr",
"traceback": [
"\u001b[1;31m---------------------------------------------------------------------------\u001b[0m\n\u001b[1;31mValueError\u001b[0m Traceback (most recent call last)",
"\u001b[1;32m<ipython-input-9-23a646829fdc>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m()\u001b[0m\n\u001b[1;32m----> 1\u001b[1;33m \u001b[0mview\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mapply_sync\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mclosed\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;36m3\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m",
"\u001b[1;32m/Users/minrk/dev/ip/mine/IPython/parallel/client/view.pyc\u001b[0m in \u001b[0;36mapply_sync\u001b[1;34m(self, f, *args, **kwargs)\u001b[0m\n",
"\u001b[1;32m/Users/minrk/dev/ip/mine/IPython/parallel/client/view.pyc\u001b[0m in \u001b[0;36mspin_after\u001b[1;34m(f, self, *args, **kwargs)\u001b[0m\n\u001b[0;32m 73\u001b[0m \u001b[1;32mdef\u001b[0m \u001b[0mspin_after\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mf\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m*\u001b[0m\u001b[0margs\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 74\u001b[0m \u001b[1;34m\"\"\"call spin after the method.\"\"\"\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m---> 75\u001b[1;33m \u001b[0mret\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mf\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m*\u001b[0m\u001b[0margs\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 76\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mspin\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 77\u001b[0m \u001b[1;32mreturn\u001b[0m \u001b[0mret\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
MinRK
add to dill example notebook...
r13878 "\u001b[1;32m/Users/minrk/dev/ip/mine/IPython/parallel/client/view.pyc\u001b[0m in \u001b[0;36mapply_sync\u001b[1;34m(self, f, *args, **kwargs)\u001b[0m\n\u001b[0;32m 245\u001b[0m \u001b[0mreturning\u001b[0m \u001b[0mthe\u001b[0m \u001b[0mresult\u001b[0m\u001b[1;33m.\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 246\u001b[0m \"\"\"\n\u001b[1;32m--> 247\u001b[1;33m \u001b[1;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_really_apply\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mf\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0margs\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mkwargs\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mblock\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mTrue\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 248\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 249\u001b[0m \u001b[1;31m#----------------------------------------------------------------\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
MinRK
add parallel dill example
r13638 "\u001b[1;32m/Users/minrk/dev/ip/mine/IPython/parallel/client/view.pyc\u001b[0m in \u001b[0;36m_really_apply\u001b[1;34m(self, f, args, kwargs, block, track, after, follow, timeout, targets, retries)\u001b[0m\n",
"\u001b[1;32m/Users/minrk/dev/ip/mine/IPython/parallel/client/view.pyc\u001b[0m in \u001b[0;36msync_results\u001b[1;34m(f, self, *args, **kwargs)\u001b[0m\n\u001b[0;32m 64\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_in_sync_results\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mTrue\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 65\u001b[0m \u001b[1;32mtry\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m---> 66\u001b[1;33m \u001b[0mret\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mf\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m*\u001b[0m\u001b[0margs\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 67\u001b[0m \u001b[1;32mfinally\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 68\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_in_sync_results\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mFalse\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
"\u001b[1;32m/Users/minrk/dev/ip/mine/IPython/parallel/client/view.pyc\u001b[0m in \u001b[0;36m_really_apply\u001b[1;34m(self, f, args, kwargs, block, track, after, follow, timeout, targets, retries)\u001b[0m\n",
"\u001b[1;32m/Users/minrk/dev/ip/mine/IPython/parallel/client/view.pyc\u001b[0m in \u001b[0;36msave_ids\u001b[1;34m(f, self, *args, **kwargs)\u001b[0m\n\u001b[0;32m 49\u001b[0m \u001b[0mn_previous\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mlen\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mclient\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mhistory\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 50\u001b[0m \u001b[1;32mtry\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m---> 51\u001b[1;33m \u001b[0mret\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mf\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m*\u001b[0m\u001b[0margs\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 52\u001b[0m \u001b[1;32mfinally\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 53\u001b[0m \u001b[0mnmsgs\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mlen\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mclient\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mhistory\u001b[0m\u001b[1;33m)\u001b[0m \u001b[1;33m-\u001b[0m \u001b[0mn_previous\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
MinRK
add to dill example notebook...
r13878 "\u001b[1;32m/Users/minrk/dev/ip/mine/IPython/parallel/client/view.pyc\u001b[0m in \u001b[0;36m_really_apply\u001b[1;34m(self, f, args, kwargs, block, track, after, follow, timeout, targets, retries)\u001b[0m\n\u001b[0;32m 1049\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 1050\u001b[0m msg = self.client.send_apply_request(self._socket, f, args, kwargs, track=track,\n\u001b[1;32m-> 1051\u001b[1;33m metadata=metadata)\n\u001b[0m\u001b[0;32m 1052\u001b[0m \u001b[0mtracker\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mNone\u001b[0m \u001b[1;32mif\u001b[0m \u001b[0mtrack\u001b[0m \u001b[1;32mis\u001b[0m \u001b[0mFalse\u001b[0m \u001b[1;32melse\u001b[0m \u001b[0mmsg\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;34m'tracker'\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 1053\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n",
MinRK
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r13638 "\u001b[1;32m/Users/minrk/dev/ip/mine/IPython/parallel/client/client.pyc\u001b[0m in \u001b[0;36msend_apply_request\u001b[1;34m(self, socket, f, args, kwargs, metadata, track, ident)\u001b[0m\n\u001b[0;32m 1252\u001b[0m bufs = serialize.pack_apply_message(f, args, kwargs,\n\u001b[0;32m 1253\u001b[0m \u001b[0mbuffer_threshold\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0msession\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mbuffer_threshold\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m-> 1254\u001b[1;33m \u001b[0mitem_threshold\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0msession\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mitem_threshold\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 1255\u001b[0m )\n\u001b[0;32m 1256\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n",
"\u001b[1;32m/Users/minrk/dev/ip/mine/IPython/kernel/zmq/serialize.pyc\u001b[0m in \u001b[0;36mpack_apply_message\u001b[1;34m(f, args, kwargs, buffer_threshold, item_threshold)\u001b[0m\n\u001b[0;32m 163\u001b[0m \u001b[0minfo\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mdict\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mnargs\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mlen\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0margs\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mnarg_bufs\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mlen\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0marg_bufs\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mkw_keys\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mkw_keys\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 164\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 165\u001b[1;33m \u001b[0mmsg\u001b[0m \u001b[1;33m=\u001b[0m \u001b[1;33m[\u001b[0m\u001b[0mpickle\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mdumps\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mcan\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mf\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m-\u001b[0m\u001b[1;36m1\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 166\u001b[0m \u001b[0mmsg\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mappend\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mpickle\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mdumps\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0minfo\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m-\u001b[0m\u001b[1;36m1\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 167\u001b[0m \u001b[0mmsg\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mextend\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0marg_bufs\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
"\u001b[1;32m/Users/minrk/dev/ip/mine/IPython/utils/codeutil.pyc\u001b[0m in \u001b[0;36mreduce_code\u001b[1;34m(co)\u001b[0m\n\u001b[0;32m 36\u001b[0m \u001b[1;32mdef\u001b[0m \u001b[0mreduce_code\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mco\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 37\u001b[0m \u001b[1;32mif\u001b[0m \u001b[0mco\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mco_freevars\u001b[0m \u001b[1;32mor\u001b[0m \u001b[0mco\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mco_cellvars\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m---> 38\u001b[1;33m \u001b[1;32mraise\u001b[0m \u001b[0mValueError\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m\"Sorry, cannot pickle code objects with closures\"\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 39\u001b[0m args = [co.co_argcount, co.co_nlocals, co.co_stacksize,\n\u001b[0;32m 40\u001b[0m \u001b[0mco\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mco_flags\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mco\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mco_code\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mco\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mco_consts\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mco\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mco_names\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
"\u001b[1;31mValueError\u001b[0m: Sorry, cannot pickle code objects with closures"
]
}
],
"prompt_number": 9
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Oops, no dice. For IPython to work with dill,\n",
MinRK
add to dill example notebook...
r13878 "there are one or two more steps. IPython will do these for you if you call `DirectView.use_dill`:"
MinRK
add parallel dill example
r13638 ]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
MinRK
add to dill example notebook...
r13878 "rc[:].use_dill()"
MinRK
add parallel dill example
r13638 ],
"language": "python",
"metadata": {},
MinRK
add to dill example notebook...
r13878 "outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 10,
"text": [
"<AsyncResult: use_dill>"
]
}
],
MinRK
add parallel dill example
r13638 "prompt_number": 10
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
MinRK
add to dill example notebook...
r13878 "This is equivalent to\n",
"\n",
"```python\n",
"from IPython.utils.pickleutil import use_dill\n",
"use_dill()\n",
"rc[:].apply(use_dill)\n",
"```"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
MinRK
add parallel dill example
r13638 "Now let's try again"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"view.apply_sync(closed, 3)"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 11,
"text": [
"15"
]
}
],
"prompt_number": 11
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Yay! Now we can use dill to allow IPython.parallel to send anything.\n",
"\n",
"And that's it! We can send closures and other previously non-pickleables to our engines.\n",
"\n",
MinRK
add to dill example notebook...
r13878 "Let's give it a try now:"
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r13638 ]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
MinRK
add to dill example notebook...
r13878 "remote_closure = view.apply_sync(make_closure, 4)\n",
"remote_closure(5)"
MinRK
add parallel dill example
r13638 ],
"language": "python",
"metadata": {},
"outputs": [
{
MinRK
add to dill example notebook...
r13878 "metadata": {},
"output_type": "pyout",
"prompt_number": 12,
"text": [
"20"
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add parallel dill example
r13638 ]
}
],
"prompt_number": 12
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
MinRK
add to dill example notebook...
r13878 "But wait, there's more!\n",
MinRK
add parallel dill example
r13638 "\n",
MinRK
add to dill example notebook...
r13878 "At this point, we can send/recv all kinds of stuff"
MinRK
add parallel dill example
r13638 ]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
MinRK
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r13878 "def outer(a):\n",
" def inner(b):\n",
" def inner_again(c):\n",
" return c * b * a\n",
" return inner_again\n",
" return inner"
MinRK
add parallel dill example
r13638 ],
"language": "python",
"metadata": {},
MinRK
add to dill example notebook...
r13878 "outputs": [],
MinRK
add parallel dill example
r13638 "prompt_number": 13
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
MinRK
add to dill example notebook...
r13878 "So outer returns a function with a closure, which returns a function with a closure.\n",
MinRK
add parallel dill example
r13638 "\n",
MinRK
add to dill example notebook...
r13878 "Now, we can resolve the first closure on the engine, the second here, and the third on a different engine,\n",
"after passing through a lambda we define here and call there, just for good measure."
MinRK
add parallel dill example
r13638 ]
},
{
MinRK
add to dill example notebook...
r13878 "cell_type": "code",
"collapsed": false,
"input": [
"view.apply_sync(lambda f: f(3),view.apply_sync(outer, 1)(2))"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 14,
"text": [
"6"
]
}
],
"prompt_number": 14
},
{
MinRK
add parallel dill example
r13638 "cell_type": "markdown",
"metadata": {},
"source": [
MinRK
add to dill example notebook...
r13878 "And for good measure, let's test that normal execution still works:"
MinRK
add parallel dill example
r13638 ]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
MinRK
add to dill example notebook...
r13878 "%px foo = 5\n",
"\n",
"print(rc[:]['foo'])\n",
"rc[:]['bar'] = lambda : 2 * foo\n",
"rc[:].apply_sync(parallel.Reference('bar'))"
MinRK
add parallel dill example
r13638 ],
"language": "python",
"metadata": {},
"outputs": [
{
MinRK
add to dill example notebook...
r13878 "output_type": "stream",
"stream": "stdout",
"text": [
"[5, 5, 5, 5, 5, 5, 5, 5]\n"
]
},
{
MinRK
add parallel dill example
r13638 "metadata": {},
"output_type": "pyout",
MinRK
add to dill example notebook...
r13878 "prompt_number": 15,
MinRK
add parallel dill example
r13638 "text": [
MinRK
add to dill example notebook...
r13878 "[10, 10, 10, 10, 10, 10, 10, 10]"
MinRK
add parallel dill example
r13638 ]
}
],
MinRK
add to dill example notebook...
r13878 "prompt_number": 15
MinRK
add parallel dill example
r13638 },
{
"cell_type": "markdown",
"metadata": {},
"source": [
MinRK
add to dill example notebook...
r13878 "And test that the `@interactive` decorator works"
MinRK
add parallel dill example
r13638 ]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
MinRK
add to dill example notebook...
r13878 "%%file testdill.py\n",
"from IPython.parallel import interactive\n",
"\n",
"@interactive\n",
"class C(object):\n",
" a = 5\n",
"\n",
"@interactive\n",
"class D(C):\n",
" b = 10\n",
"\n",
"@interactive\n",
"def foo(a):\n",
" return a * b\n"
],
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "stream",
"stream": "stdout",
"text": [
"Overwriting testdill.py\n"
]
}
],
"prompt_number": 16
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"import testdill"
MinRK
add parallel dill example
r13638 ],
"language": "python",
"metadata": {},
"outputs": [],
MinRK
add to dill example notebook...
r13878 "prompt_number": 17
MinRK
add parallel dill example
r13638 },
{
MinRK
add to dill example notebook...
r13878 "cell_type": "code",
"collapsed": false,
"input": [
"v = rc[-1]\n",
"v['D'] = testdill.D\n",
"d = v.apply_sync(lambda : D())\n",
"print d.a, d.b"
],
"language": "python",
MinRK
add parallel dill example
r13638 "metadata": {},
MinRK
add to dill example notebook...
r13878 "outputs": [
{
"output_type": "stream",
"stream": "stdout",
"text": [
"5 10\n"
]
}
],
"prompt_number": 18
MinRK
add parallel dill example
r13638 },
{
"cell_type": "code",
"collapsed": false,
"input": [
MinRK
add to dill example notebook...
r13878 "v['b'] = 10\n",
"v.apply_sync(testdill.foo, 5)"
MinRK
add parallel dill example
r13638 ],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
MinRK
add to dill example notebook...
r13878 "prompt_number": 19,
MinRK
add parallel dill example
r13638 "text": [
MinRK
add to dill example notebook...
r13878 "50"
MinRK
add parallel dill example
r13638 ]
}
],
MinRK
add to dill example notebook...
r13878 "prompt_number": 19
MinRK
add parallel dill example
r13638 }
],
"metadata": {}
}
]
}