Created
April 12, 2017 19:16
-
-
Save maartenbreddels/270420a88ba7653ef0b432768657b9d8 to your computer and use it in GitHub Desktop.
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
{ | |
"cells": [ | |
{ | |
"cell_type": "code", | |
"execution_count": 73, | |
"metadata": { | |
"collapsed": true | |
}, | |
"outputs": [], | |
"source": [ | |
"import ipywidgets as widgets\n", | |
"from traitlets import Unicode, validate, CInt, CFloat\n", | |
"from traittypes import Array\n", | |
"import numpy as np\n", | |
"def from_json(value, obj=None):\n", | |
" return []\n", | |
"\n", | |
"def array_to_binary(ar, obj=None):\n", | |
" if ar is not None:\n", | |
" ar = ar.astype(np.float32)\n", | |
" mv = memoryview(ar)\n", | |
" # 'nested' is just to show the (de)serialization goes all fine\n", | |
" return {'data': mv, 'shape': ar.shape, 'nested': {'list': [mv, 'test']}}\n", | |
" else:\n", | |
" return None\n", | |
"\n", | |
"last_value = None\n", | |
"setters = 0\n", | |
"def binary_to_array(value, obj=None):\n", | |
" global last_value, setters\n", | |
" setters += 1\n", | |
" print(\">>\", value) # print msg'es get lost, but check the websocket output\n", | |
" last_value = value # or keep a reference to a global for debugging\n", | |
" return np.frombuffer(value, dtype=np.float32)\n", | |
" #return np.frombuffer(value['data'], dtype=np.float32)\n", | |
"\n", | |
"array_binary_serialization = dict(to_json=array_to_binary, from_json=binary_to_array)\n", | |
"\n", | |
"class DoublerWidget(widgets.DOMWidget):\n", | |
" _model_name = Unicode('DoublerModel').tag(sync=True)\n", | |
" _model_module = Unicode('doubler').tag(sync=True)\n", | |
" a = CInt().tag(sync=True)\n", | |
" x = Array(default_value=None).tag(sync=True, **array_binary_serialization)\n", | |
" y = Array(default_value=None, allow_none=True).tag(sync=True, **array_binary_serialization)\n", | |
" " | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 74, | |
"metadata": {}, | |
"outputs": [ | |
{ | |
"data": { | |
"application/javascript": [ | |
"require.undef('doubler');\n", | |
"\n", | |
"define('doubler', [\"jupyter-js-widgets\"], function(widgets) {\n", | |
"\n", | |
" function deserialize_numpy_array(data, manager) {\n", | |
" if(data == null)\n", | |
" return null;\n", | |
" console.log(\"binary array\")\n", | |
" window.last_data = data\n", | |
" var ar = new Float32Array(data.data.buffer)\n", | |
" window.last_array = ar\n", | |
" return {data:ar, shape:data.shape, nested:data.nested}\n", | |
" }\n", | |
" \n", | |
" function serialize_numpy_array(data, m) {\n", | |
" console.log(\"serialize\", data)\n", | |
" return data;//[0,9]\n", | |
" }\n", | |
" \n", | |
" // Define the HelloView\n", | |
" var DoublerModel = widgets.WidgetModel.extend({\n", | |
" defaults: function() {\n", | |
" return _.extend(widgets.WidgetModel.prototype.defaults(), {\n", | |
" _model_name : 'DoublerModel',\n", | |
" _model_module : 'doubler',\n", | |
" })\n", | |
" },\n", | |
" initialize: function(attributes, options) {\n", | |
" console.log(this)\n", | |
" window.last_doubler = this\n", | |
" DoublerModel.__super__.initialize.apply(this, arguments);\n", | |
" this.on('change:x', this.double_x, this)\n", | |
" this.double_x()\n", | |
" },\n", | |
" double_x: function() {\n", | |
" var x = this.get('x')\n", | |
" var y = x.data.slice()\n", | |
" for(var i = 0; i < x.data.length; i++) {\n", | |
" y[i] = x.data[i]*x.data[i];\n", | |
" console.log('x[', i, '] = ', x.data[i], '; y[', i, '] = ', y[i])\n", | |
" }\n", | |
" this.set('y', {data: y, shape: x.shape, nested: x.nested})\n", | |
" this.save()\n", | |
" }\n", | |
" }, {\n", | |
" serializers: _.extend({\n", | |
" x: { deserialize: deserialize_numpy_array, serialize: serialize_numpy_array },\n", | |
" y: { deserialize: deserialize_numpy_array, serialize: serialize_numpy_array },\n", | |
" }, widgets.WidgetModel.serializers)\n", | |
"});\n", | |
"\n", | |
" \n", | |
" return {\n", | |
" DoublerModel: DoublerModel\n", | |
" }\n", | |
"});" | |
], | |
"text/plain": [ | |
"<IPython.core.display.Javascript object>" | |
] | |
}, | |
"metadata": {}, | |
"output_type": "display_data" | |
} | |
], | |
"source": [ | |
"%%javascript\n", | |
"require.undef('doubler');\n", | |
"\n", | |
"define('doubler', [\"jupyter-js-widgets\"], function(widgets) {\n", | |
"\n", | |
" function deserialize_numpy_array(data, manager) {\n", | |
" if(data == null)\n", | |
" return null;\n", | |
" console.log(\"binary array\")\n", | |
" window.last_data = data\n", | |
" var ar = new Float32Array(data.data.buffer)\n", | |
" window.last_array = ar\n", | |
" return {data:ar, shape:data.shape, nested:data.nested}\n", | |
" }\n", | |
" \n", | |
" function serialize_numpy_array(data, m) {\n", | |
" console.log(\"serialize\", data)\n", | |
" return data;//[0,9]\n", | |
" }\n", | |
" \n", | |
" // Define the HelloView\n", | |
" var DoublerModel = widgets.WidgetModel.extend({\n", | |
" defaults: function() {\n", | |
" return _.extend(widgets.WidgetModel.prototype.defaults(), {\n", | |
" _model_name : 'DoublerModel',\n", | |
" _model_module : 'doubler',\n", | |
" })\n", | |
" },\n", | |
" initialize: function(attributes, options) {\n", | |
" console.log(this)\n", | |
" window.last_doubler = this\n", | |
" DoublerModel.__super__.initialize.apply(this, arguments);\n", | |
" this.on('change:x', this.double_x, this)\n", | |
" this.double_x()\n", | |
" },\n", | |
" double_x: function() {\n", | |
" var x = this.get('x')\n", | |
" var y = x.data.slice()\n", | |
" for(var i = 0; i < x.data.length; i++) {\n", | |
" y[i] = x.data[i]*x.data[i];\n", | |
" console.log('x[', i, '] = ', x.data[i], '; y[', i, '] = ', y[i])\n", | |
" }\n", | |
" this.set('y', {data: y, shape: x.shape, nested: x.nested})\n", | |
" this.save()\n", | |
" }\n", | |
" }, {\n", | |
" serializers: _.extend({\n", | |
" x: { deserialize: deserialize_numpy_array, serialize: serialize_numpy_array },\n", | |
" y: { deserialize: deserialize_numpy_array, serialize: serialize_numpy_array },\n", | |
" }, widgets.WidgetModel.serializers)\n", | |
"});\n", | |
"\n", | |
" \n", | |
" return {\n", | |
" DoublerModel: DoublerModel\n", | |
" }\n", | |
"});" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 75, | |
"metadata": { | |
"collapsed": true | |
}, | |
"outputs": [], | |
"source": [ | |
"x = np.arange(5, dtype=np.float32)\n", | |
"doubler = DoublerWidget(x=x)" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 76, | |
"metadata": {}, | |
"outputs": [ | |
{ | |
"data": { | |
"text/plain": [ | |
"(array([ 0., 1., 2., 3., 4.], dtype=float32), None)" | |
] | |
}, | |
"execution_count": 76, | |
"metadata": {}, | |
"output_type": "execute_result" | |
} | |
], | |
"source": [ | |
"x, doubler.y" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 77, | |
"metadata": {}, | |
"outputs": [ | |
{ | |
"data": { | |
"text/plain": [ | |
"{'data': <memory at 0x113849c48>,\n", | |
" 'nested': {'list': [<memory at 0x113849a08>, 'test']},\n", | |
" 'shape': [5]}" | |
] | |
}, | |
"execution_count": 77, | |
"metadata": {}, | |
"output_type": "execute_result" | |
} | |
], | |
"source": [ | |
"last_value" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 78, | |
"metadata": {}, | |
"outputs": [ | |
{ | |
"data": { | |
"text/plain": [ | |
"1" | |
] | |
}, | |
"execution_count": 78, | |
"metadata": {}, | |
"output_type": "execute_result" | |
} | |
], | |
"source": [ | |
"setters" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": null, | |
"metadata": { | |
"collapsed": true | |
}, | |
"outputs": [], | |
"source": [ | |
"# now, check the JS console, last_doubler._buffered_state_diff containts a value\n", | |
"# calling last_doubler.save_changes() will send this back to the pyside" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 80, | |
"metadata": {}, | |
"outputs": [ | |
{ | |
"data": { | |
"text/plain": [ | |
"2" | |
] | |
}, | |
"execution_count": 80, | |
"metadata": {}, | |
"output_type": "execute_result" | |
} | |
], | |
"source": [ | |
"setters # as confirmed by printing out this again" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": null, | |
"metadata": { | |
"collapsed": true | |
}, | |
"outputs": [], | |
"source": [] | |
} | |
], | |
"metadata": { | |
"anaconda-cloud": {}, | |
"kernelspec": { | |
"display_name": "Python [default]", | |
"language": "python", | |
"name": "python3" | |
}, | |
"language_info": { | |
"codemirror_mode": { | |
"name": "ipython", | |
"version": 3 | |
}, | |
"file_extension": ".py", | |
"mimetype": "text/x-python", | |
"name": "python", | |
"nbconvert_exporter": "python", | |
"pygments_lexer": "ipython3", | |
"version": "3.5.2" | |
} | |
}, | |
"nbformat": 4, | |
"nbformat_minor": 2 | |
} |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment