doc/source/examples/03PointPulse.ipynb

{
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    "# The PointPulseTemplate\n",
    "\n",
    "The `PointPulseTemplate`(or short `PointPT`) can be understood as a specialization of the `TablePulseTemplate`. It restricts the channels to all having the same time points in their entries and the same expression for their voltages.\n",
    "\n",
    "Let us first have a look at an simple example: "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'A', 'B'}\n"
     ]
    }
   ],
   "source": [
    "from qupulse.pulses import PointPT\n",
    "\n",
    "point_template = PointPT([(0,   'v_0'),\n",
    "                          (1,   'v_1', 'linear'),\n",
    "                          ('t', 'v_0+v_1', 'jump')],\n",
    "                         channel_names=('A', 'B'))\n",
    "\n",
    "print(point_template.defined_channels)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "As you can see the pulse template has two channels although we only provided one expression for the voltage per time point. The value of this expression can either be scalar as we will see now for `v_0` or be a `numpy` array of the same length as the number of channels is like `v_1`. A value of the wrong length will result in an exception."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
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       "\n",
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       "\n",
       "\n",
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       "\n",
       "\n",
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       "\n",
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       "\n",
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       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
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       "        cursor = 'pointer';\n",
       "        break;\n",
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       "        break;\n",
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       "        break;\n",
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       "\n",
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       "    fig.message.textContent = msg['message'];\n",
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       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
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       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
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       "\n",
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       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
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       "\n",
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       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to  previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        event.shiftKey = false;\n",
       "        // Send a \"J\" for go to next cell\n",
       "        event.which = 74;\n",
       "        event.keyCode = 74;\n",
       "        manager.command_mode();\n",
       "        manager.handle_keydown(event);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
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     "output_type": "display_data"
    },
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\" width=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "%matplotlib notebook\n",
    "from qupulse.pulses.plotting import plot\n",
    "import numpy as np\n",
    "\n",
    "parameters = dict(t=3,\n",
    "                  v_0=1,\n",
    "                  v_1=np.array([1.2, 2.5]))\n",
    "\n",
    "_ = plot(point_template, parameters, sample_rate=100)"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python [default]",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
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