pixel_center.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "%matplotlib nbagg\n",
    "import numpy\n",
    "from matplotlib.pyplot import subplots"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "size = 512\n",
    "r0 = 51\n",
    "y,x = numpy.ogrid[-size//2:size-size//2,-size//2:size-size//2]\n",
    "r2 = x*x+y*y\n",
    "img = r2<r0*r0\n",
    "rec = numpy.fft.fftshift(abs(numpy.fft.fft2(img))**2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'mpl-button-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
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       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "\n",
       "        var icon_img = document.createElement('img');\n",
       "        icon_img.src = '_images/' + image + '.png';\n",
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       "        button.appendChild(icon_img);\n",
       "\n",
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       "        option.innerHTML = fmt;\n",
       "        fmt_picker.appendChild(option);\n",
       "    }\n",
       "\n",
       "    var status_bar = document.createElement('span');\n",
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       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.request_resize = function (x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', { width: x_pixels, height: y_pixels });\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_message = function (type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function () {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({ type: 'draw', figure_id: this.id }));\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function (fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] !== fig.canvas.width || size[1] !== fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1], msg['forward']);\n",
       "        fig.send_message('refresh', {});\n",
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       "    var x0 = msg['x0'] / fig.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / fig.ratio;\n",
       "    var x1 = msg['x1'] / fig.ratio;\n",
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       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0,\n",
       "        0,\n",
       "        fig.canvas.width / fig.ratio,\n",
       "        fig.canvas.height / fig.ratio\n",
       "    );\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function (fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function (fig, msg) {\n",
       "    fig.rubberband_canvas.style.cursor = msg['cursor'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_message = function (fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "};\n",
       "\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",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function (fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_history_buttons = function (fig, msg) {\n",
       "    for (var key in msg) {\n",
       "        if (!(key in fig.buttons)) {\n",
       "            continue;\n",
       "        }\n",
       "        fig.buttons[key].disabled = !msg[key];\n",
       "        fig.buttons[key].setAttribute('aria-disabled', !msg[key]);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_navigate_mode = function (fig, msg) {\n",
       "    if (msg['mode'] === 'PAN') {\n",
       "        fig.buttons['Pan'].classList.add('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    } else if (msg['mode'] === 'ZOOM') {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.add('active');\n",
       "    } else {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message('ack', {});\n",
       "};\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",
       "            var img = evt.data;\n",
       "            if (img.type !== 'image/png') {\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",
       "                img.type = 'image/png';\n",
       "            }\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src\n",
       "                );\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                img\n",
       "            );\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        } else if (\n",
       "            typeof evt.data === 'string' &&\n",
       "            evt.data.slice(0, 21) === 'data:image/png;base64'\n",
       "        ) {\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(\n",
       "                \"No handler for the '\" + msg_type + \"' message type: \",\n",
       "                msg\n",
       "            );\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(\n",
       "                    \"Exception inside the 'handler_\" + msg_type + \"' callback:\",\n",
       "                    e,\n",
       "                    e.stack,\n",
       "                    msg\n",
       "                );\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "};\n",
       "\n",
       "// from https://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",
       "    }\n",
       "    if (e.target) {\n",
       "        targ = e.target;\n",
       "    } else if (e.srcElement) {\n",
       "        targ = e.srcElement;\n",
       "    }\n",
       "    if (targ.nodeType === 3) {\n",
       "        // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "    }\n",
       "\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    var boundingRect = targ.getBoundingClientRect();\n",
       "    var x = e.pageX - (boundingRect.left + document.body.scrollLeft);\n",
       "    var y = e.pageY - (boundingRect.top + document.body.scrollTop);\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",
       " * https://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",
       "        }\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",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * this.ratio;\n",
       "    var y = canvas_pos.y * this.ratio;\n",
       "\n",
       "    this.send_message(name, {\n",
       "        x: x,\n",
       "        y: y,\n",
       "        button: event.button,\n",
       "        step: event.step,\n",
       "        guiEvent: simpleKeys(event),\n",
       "    });\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",
       "    // Prevent repeat events\n",
       "    if (name === 'key_press') {\n",
       "        if (event.key === this._key) {\n",
       "            return;\n",
       "        } else {\n",
       "            this._key = event.key;\n",
       "        }\n",
       "    }\n",
       "    if (name === 'key_release') {\n",
       "        this._key = null;\n",
       "    }\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.key !== 'Control') {\n",
       "        value += 'ctrl+';\n",
       "    }\n",
       "    else if (event.altKey && event.key !== 'Alt') {\n",
       "        value += 'alt+';\n",
       "    }\n",
       "    else if (event.shiftKey && event.key !== 'Shift') {\n",
       "        value += 'shift+';\n",
       "    }\n",
       "\n",
       "    value += 'k' + event.key;\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, { key: value, 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",
       "\n",
       "///////////////// REMAINING CONTENT GENERATED BY embed_js.py /////////////////\n",
       "// prettier-ignore\n",
       "var _JSXTOOLS_RESIZE_OBSERVER=function(A){var t,i=new WeakMap,n=new WeakMap,a=new WeakMap,r=new WeakMap,o=new Set;function s(e){if(!(this instanceof s))throw new TypeError(\"Constructor requires 'new' operator\");i.set(this,e)}function h(){throw new TypeError(\"Function is not a constructor\")}function c(e,t,i,n){e=0 in arguments?Number(arguments[0]):0,t=1 in arguments?Number(arguments[1]):0,i=2 in arguments?Number(arguments[2]):0,n=3 in arguments?Number(arguments[3]):0,this.right=(this.x=this.left=e)+(this.width=i),this.bottom=(this.y=this.top=t)+(this.height=n),Object.freeze(this)}function d(){t=requestAnimationFrame(d);var s=new WeakMap,p=new Set;o.forEach((function(t){r.get(t).forEach((function(i){var r=t instanceof window.SVGElement,o=a.get(t),d=r?0:parseFloat(o.paddingTop),f=r?0:parseFloat(o.paddingRight),l=r?0:parseFloat(o.paddingBottom),u=r?0:parseFloat(o.paddingLeft),g=r?0:parseFloat(o.borderTopWidth),m=r?0:parseFloat(o.borderRightWidth),w=r?0:parseFloat(o.borderBottomWidth),b=u+f,F=d+l,v=(r?0:parseFloat(o.borderLeftWidth))+m,W=g+w,y=r?0:t.offsetHeight-W-t.clientHeight,E=r?0:t.offsetWidth-v-t.clientWidth,R=b+v,z=F+W,M=r?t.width:parseFloat(o.width)-R-E,O=r?t.height:parseFloat(o.height)-z-y;if(n.has(t)){var k=n.get(t);if(k[0]===M&&k[1]===O)return}n.set(t,[M,O]);var S=Object.create(h.prototype);S.target=t,S.contentRect=new c(u,d,M,O),s.has(i)||(s.set(i,[]),p.add(i)),s.get(i).push(S)}))})),p.forEach((function(e){i.get(e).call(e,s.get(e),e)}))}return s.prototype.observe=function(i){if(i instanceof window.Element){r.has(i)||(r.set(i,new Set),o.add(i),a.set(i,window.getComputedStyle(i)));var n=r.get(i);n.has(this)||n.add(this),cancelAnimationFrame(t),t=requestAnimationFrame(d)}},s.prototype.unobserve=function(i){if(i instanceof window.Element&&r.has(i)){var n=r.get(i);n.has(this)&&(n.delete(this),n.size||(r.delete(i),o.delete(i))),n.size||r.delete(i),o.size||cancelAnimationFrame(t)}},A.DOMRectReadOnly=c,A.ResizeObserver=s,A.ResizeObserverEntry=h,A}; // eslint-disable-line\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\", \"Left button pans, Right button zooms\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\\nx/y fixes axis\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pgf\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";/* global mpl */\n",
       "\n",
       "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.binaryType = comm.kernel.ws.binaryType;\n",
       "    ws.readyState = comm.kernel.ws.readyState;\n",
       "    function updateReadyState(_event) {\n",
       "        if (comm.kernel.ws) {\n",
       "            ws.readyState = comm.kernel.ws.readyState;\n",
       "        } else {\n",
       "            ws.readyState = 3; // Closed state.\n",
       "        }\n",
       "    }\n",
       "    comm.kernel.ws.addEventListener('open', updateReadyState);\n",
       "    comm.kernel.ws.addEventListener('close', updateReadyState);\n",
       "    comm.kernel.ws.addEventListener('error', updateReadyState);\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",
       "        var data = msg['content']['data'];\n",
       "        if (data['blob'] !== undefined) {\n",
       "            data = {\n",
       "                data: new Blob(msg['buffers'], { type: data['blob'] }),\n",
       "            };\n",
       "        }\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(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 = document.getElementById(id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm);\n",
       "\n",
       "    function ondownload(figure, _format) {\n",
       "        window.open(figure.canvas.toDataURL());\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy, ondownload, element);\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;\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",
       "    fig.cell_info[0].output_area.element.on(\n",
       "        'cleared',\n",
       "        { fig: fig },\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function (fig, msg) {\n",
       "    var width = fig.canvas.width / fig.ratio;\n",
       "    fig.cell_info[0].output_area.element.off(\n",
       "        'cleared',\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "    fig.resizeObserverInstance.unobserve(fig.canvas_div);\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.innerHTML =\n",
       "        '<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 / this.ratio;\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] =\n",
       "        '<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 () {\n",
       "        fig.push_to_output();\n",
       "    }, 1000);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'btn-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'btn-group';\n",
       "    var button;\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) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'btn-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        button = fig.buttons[name] = document.createElement('button');\n",
       "        button.classList = 'btn btn-default';\n",
       "        button.href = '#';\n",
       "        button.title = name;\n",
       "        button.innerHTML = '<i class=\"fa ' + image + ' fa-lg\"></i>';\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message pull-right';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = document.createElement('div');\n",
       "    buttongrp.classList = 'btn-group inline pull-right';\n",
       "    button = document.createElement('button');\n",
       "    button.classList = 'btn btn-mini btn-primary';\n",
       "    button.href = '#';\n",
       "    button.title = 'Stop Interaction';\n",
       "    button.innerHTML = '<i class=\"fa fa-power-off icon-remove icon-large\"></i>';\n",
       "    button.addEventListener('click', function (_evt) {\n",
       "        fig.handle_close(fig, {});\n",
       "    });\n",
       "    button.addEventListener(\n",
       "        'mouseover',\n",
       "        on_mouseover_closure('Stop Interaction')\n",
       "    );\n",
       "    buttongrp.appendChild(button);\n",
       "    var titlebar = this.root.querySelector('.ui-dialog-titlebar');\n",
       "    titlebar.insertBefore(buttongrp, titlebar.firstChild);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._remove_fig_handler = function (event) {\n",
       "    var fig = event.data.fig;\n",
       "    if (event.target !== this) {\n",
       "        // Ignore bubbled events from children.\n",
       "        return;\n",
       "    }\n",
       "    fig.close_ws(fig, {});\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (el) {\n",
       "    el.style.boxSizing = 'content-box'; // override notebook setting of border-box.\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (el) {\n",
       "    // this is important to make the div 'focusable\n",
       "    el.setAttribute('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",
       "    } else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (event, _name) {\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which === 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    fig.ondownload(fig, null);\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(\n",
       "        'matplotlib',\n",
       "        mpl.mpl_figure_comm\n",
       "    );\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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\" width=\"900\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = subplots(1, 2, figsize=(9,4))\n",
    "ax[0].imshow(img)\n",
    "ax[0].set_title(\"Real-space object\")\n",
    "ax[1].imshow(numpy.arcsinh(rec))\n",
    "ax[1].set_title(\"Farfield diffraction pattern\")\n",
    "pass"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "position of the center: 255.99381203283914 255.9938120328391\n"
     ]
    }
   ],
   "source": [
    "print(\"position of the center:\", \n",
    "      (rec*numpy.arange(size)).sum()/rec.sum(),\n",
    "      (rec*(numpy.atleast_2d(numpy.arange(size)).T)).sum()/rec.sum())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "import os\n",
    "import numpy\n",
    "from matplotlib.pyplot import subplots\n",
    "import glob\n",
    "import fabio\n",
    "import h5py\n",
    "import hdf5plugin\n",
    "import pyopencl as cl\n",
    "from pyopencl import array as cla\n",
    "from ipywidgets import interact, interactive, fixed, interact_manual\n",
    "import ipywidgets as widgets\n",
    "import sys\n",
    "import logging\n",
    "logging.basicConfig(level=logging.INFO)\n",
    "from math import ceil, floor\n",
    "import numpy\n",
    "import pyopencl\n",
    "from pyopencl import array as cla\n",
    "import time\n",
    "import glob\n",
    "import fabio\n",
    "import h5py\n",
    "import hdf5plugin\n",
    "from silx.opencl.processing import OpenclProcessing, BufferDescription, KernelContainer\n",
    "from silx.opencl.common import query_kernel_info\n",
    "# from pynx.cdi.cdi import save_cdi_data_cxi\n",
    "import codecs\n",
    "import argparse\n",
    "\n",
    "logging.basicConfig(level=logging.INFO)\n",
    "logger = logging.getLogger(\"preprocess_cdi\")\n",
    "\n",
    "\n",
    "EXIT_SUCCESS = 0\n",
    "EXIT_FAILURE = 1\n",
    "EXIT_ARGUMENT_FAILURE = 2\n",
    "\n",
    "\n",
    "def as_str(smth):\n",
    "    \"Ensure to be a string\"\n",
    "    if isinstance(smth, bytes):\n",
    "        return smth.decode()\n",
    "    else:\n",
    "        return str(smth)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "nframes = size\n",
    "shape = size, size\n",
    "center = (size//2, size//2)\n",
    "pixel_size = numpy.float32(75e-6)\n",
    "distance = numpy.float32(33)\n",
    "dummy = numpy.float32(0.0)\n",
    "volume_shape=(size,size, size)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<pyopencl.Context at 0x1dd93f0 on <pyopencl.Device 'Intel(R) HD Graphics Haswell Ultrabook GT3 reserved' on 'Intel Gen OCL Driver' at 0x7ff8600095e0>>"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ctx = cl.create_some_context(interactive=False)\n",
    "queue = cl.CommandQueue(ctx)\n",
    "ctx"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "class Regrid3D(OpenclProcessing):\n",
    "    \"Project a 2D frame to a 3D volume taking into account the curvature of the Ewald's sphere\"\n",
    "    kernel_files = [\"regrid.cl\"]\n",
    "\n",
    "    def __init__(self, mask, volume_shape, center, pixel_size, distance, slab_size=None, scale=None,\n",
    "                 ctx=None, devicetype=\"all\", platformid=None, deviceid=None,\n",
    "                 block_size=None, memory=None, profile=False):\n",
    "        \"\"\"\n",
    "        :param mask: numpy array with the mask: needs to be of the same shape as the image\n",
    "        :param volume_shape: 3-tuple of int\n",
    "        :param center: 2-tuple of float (y,x)\n",
    "        :param pixel_size: float, size of the pixel in meter\n",
    "        :param distance: float, sample detector distance in meter\n",
    "        :param slab_size: Number of slices to be treated at one, the best is to leave the system guess\n",
    "        :param scale: zoom factor, 2 is like a 2x2x2 binning of the volume. Allows to work with smaller volumes.\n",
    "        :param ctx: actual working context, left to None for automatic\n",
    "                    initialization from device type or platformid/deviceid\n",
    "        :param devicetype: type of device, can be \"CPU\", \"GPU\", \"ACC\" or \"ALL\"\n",
    "        :param platformid: integer with the platform_identifier, as given by clinfo\n",
    "        :param deviceid: Integer with the device identifier, as given by clinfo\n",
    "        :param block_size: preferred workgroup size, may vary depending on the\n",
    "                            out come of the compilation\n",
    "        :param memory: minimum memory available on device\n",
    "        :param profile: switch on profiling to be able to profile at the kernel\n",
    "                         level, store profiling elements (makes code slightly slower)\n",
    "        \"\"\"\n",
    "        OpenclProcessing.__init__(self, ctx=None, devicetype=devicetype, platformid=platformid, deviceid=deviceid,\n",
    "                                  block_size=block_size, memory=memory, profile=profile)\n",
    "\n",
    "        self.image_shape = tuple(numpy.int32(i) for i in mask.shape)\n",
    "        logger.info(\"image_shape: %s\", self.image_shape)\n",
    "        self.volume_shape = tuple(numpy.int32(i) for i in volume_shape[:3])\n",
    "        logger.info(\"volume_shape: %s\", self.volume_shape)\n",
    "        self.center = tuple(numpy.float32(i) for i in center)\n",
    "        logger.info(\"center y,x: %s\", self.center)\n",
    "        self.pixel_size = numpy.float32(pixel_size)\n",
    "        logger.info(\"pixel_size: %s\", self.pixel_size)\n",
    "        self.distance = numpy.float32(distance)\n",
    "        logger.info(\"distance: %s\", self.distance)\n",
    "        self.scale = numpy.float32(1 if scale is None else scale)\n",
    "        logger.info(\"scale: %s\", self.scale)\n",
    "        if slab_size:\n",
    "            self.slab_size = int(slab_size)\n",
    "        else:\n",
    "            self.slab_size = self.calc_slabs()\n",
    "\n",
    "        self.nb_slab = int(ceil(self.volume_shape[1] / self.slab_size))\n",
    "        # Homogenize the slab size ... no need to stress the GPU memory\n",
    "        self.slab_size = numpy.int32(ceil(self.volume_shape[1] / self.nb_slab))\n",
    "\n",
    "        self.slicing = self.calc_slicing()\n",
    "        logger.info(os.linesep.join([\"Slicing pattern:\"] + [f\"slab Y [{k[0]:4d}:{k[1]:4d}] <=> image lines [{v[0]:4d}:{v[1]:4d}]\" for k,v in self.slicing.items()]))\n",
    "\n",
    "        buffers = [BufferDescription(\"image\", self.image_shape, numpy.float32, None),\n",
    "                   BufferDescription(\"mask\", self.image_shape, numpy.uint8, None),\n",
    "                   BufferDescription(\"signal\", (self.volume_shape[0], self.slab_size, self.volume_shape[2]), numpy.float32, None),\n",
    "                   BufferDescription(\"norm\", (self.volume_shape[0], self.slab_size, self.volume_shape[2]), numpy.int32, None),\n",
    "                   ]\n",
    "        self.allocate_buffers(buffers, use_array=True)\n",
    "        self.compile_kernels([\"regrid.cl\"])\n",
    "        self.wg = {\"normalize_signal\": self.kernels.max_workgroup_size(\"normalize_signal\"),  # largest possible WG\n",
    "                   \"memset_signal\": self.kernels.max_workgroup_size(\"memset_signal\"),  # largest possible WG\n",
    "                   \"regid_CDI_slaby\": self.kernels.min_workgroup_size(\"regid_CDI_slaby\")}\n",
    "        self.send_mask(mask)\n",
    "        self.progress_bar = None\n",
    "\n",
    "    def calc_slabs(self):\n",
    "        \"Calculate the height of the slab depending on the device's memory. The larger, the better\"\n",
    "        float_size = numpy.dtype(numpy.float32).itemsize\n",
    "        int_size = numpy.dtype(numpy.int32).itemsize\n",
    "        device_mem = self.device.memory\n",
    "        image_nbytes = numpy.prod(self.image_shape) * float_size\n",
    "        mask_nbytes = numpy.prod(self.image_shape) * 1\n",
    "        volume_nbytes = self.volume_shape[0] * self.volume_shape[2] * (float_size + int_size)\n",
    "        tm_slab = (0.8 * device_mem - image_nbytes - mask_nbytes) / volume_nbytes\n",
    "\n",
    "        device_mem = self.ctx.devices[0].max_mem_alloc_size\n",
    "        volume_nbytes = self.volume_shape[0] * self.volume_shape[2] * float_size\n",
    "        am_slab = device_mem / volume_nbytes\n",
    "        logger.info(\"calc_slabs: Volume size in y: %d. Limits from total memory: %.1f lines and max allocatable mem limits to %.1f lines\", self.volume_shape[1], tm_slab, am_slab)\n",
    "        return  int(min(self.volume_shape[0], tm_slab, am_slab))\n",
    "\n",
    "    def calc_slicing(self):\n",
    "        \"Calculate the slicing, i.e, for which slab in output, which lines of the image are needed\"\n",
    "        shape = self.volume_shape[1]  # Number of lines in y\n",
    "        shape_2 = shape // 2\n",
    "        size = self.slab_size  # , slicing along y\n",
    "        dist = self.distance\n",
    "        center = self.center[0]  # Along y\n",
    "        d0 = max(self.image_shape[0] - self.center[0], self.center[0])\n",
    "        d1 = max(self.image_shape[1] - self.center[1], self.center[1])\n",
    "        scale = numpy.sqrt(dist ** 2 + self.pixel_size * (d0 ** 2 + d1 ** 2)) / dist  # >1\n",
    "        res = {}\n",
    "        for slab_start in range(0, shape, size):\n",
    "            slab = (slab_start, min(shape, slab_start + size))\n",
    "            lower = min((slab[0] - shape_2) / self.scale + center,\n",
    "                        (slab[0] - shape_2) * scale / self.scale + center)\n",
    "            upper = max((slab[1] - shape_2) / self.scale + center,\n",
    "                        (slab[1] - shape_2) * scale / self.scale + center)\n",
    "            res[slab] = (max(0, int(floor(lower))),\n",
    "                         min(self.image_shape[0], int(ceil(upper))))\n",
    "        return res\n",
    "\n",
    "    def compile_kernels(self, kernel_files=None, compile_options=None):\n",
    "        \"\"\"Call the OpenCL compiler\n",
    "        :param kernel_files: list of path to the kernel\n",
    "            (by default use the one declared in the class)\n",
    "        :param compile_options: string of compile options\n",
    "        \"\"\"\n",
    "        # concatenate all needed source files into a single openCL module\n",
    "        kernel_files = kernel_files or self.kernel_files\n",
    "        kernel_src = \"\\n\".join(open(i).read() for i in kernel_files)\n",
    "\n",
    "        compile_options = compile_options or self.get_compiler_options()\n",
    "        logger.info(\"Compiling file %s with options %s\", kernel_files, compile_options)\n",
    "        try:\n",
    "            self.program = pyopencl.Program(self.ctx, kernel_src).build(options=compile_options)\n",
    "        except (pyopencl.MemoryError, pyopencl.LogicError) as error:\n",
    "            raise MemoryError(error)\n",
    "        else:\n",
    "            self.kernels = KernelContainer(self.program)\n",
    "\n",
    "    def send_image(self, image, slice_=None):\n",
    "        \"\"\"\n",
    "        Send image to the GPU\n",
    "        \n",
    "        :param image: 2d numpy array\n",
    "        :param slice: slice_ object with the start and end of the buffer to be copied\n",
    "        :return: Nothing\n",
    "        \"\"\"\n",
    "        image_d = self.cl_mem[\"image\"]\n",
    "        if slice_ is not None:\n",
    "             slice_ = slice(max(0, slice_.start), min(self.image_shape[0], slice_.stop))\n",
    "             img = numpy.ascontiguousarray(image[slice_], dtype=numpy.float32)\n",
    "             evt = pyopencl.enqueue_copy(self.queue, image_d.data, img)\n",
    "             self.profile_add(evt, \"Copy image H --> D\")\n",
    "        else:\n",
    "            assert image.shape == self.image_shape\n",
    "            image_d.set(numpy.ascontiguousarray(image, dtype=numpy.float32))\n",
    "            self.profile_add(image_d.events[-1], \"Copy image H --> D\")\n",
    "\n",
    "    def send_mask(self, mask):\n",
    "        \"\"\"\n",
    "        Send mask to the GPU\n",
    "        \"\"\"\n",
    "        mask_d = self.cl_mem[\"mask\"]\n",
    "        assert mask_d.shape == self.image_shape\n",
    "        mask_d.set(numpy.ascontiguousarray(mask, dtype=numpy.uint8))\n",
    "        self.profile_add(mask_d.events[-1], \"Copy mask H --> D\")\n",
    "\n",
    "    def project_one_frame(self, frame,\n",
    "                          rot, d_rot,\n",
    "                          vol_slice, img_slice=None,\n",
    "                          oversampling_img=1, oversampling_rot=1):\n",
    "        \"\"\"Projection of one image onto one slab\n",
    "        :param frame: numpy.ndarray 2d, floa32 image\n",
    "        :param rot: angle of rotation\n",
    "        :param d_rot: angular step (used for oversampling_rot)\n",
    "        :param vol_slice: Start/end row in the volume (slab along y)\n",
    "        :param img_slice: Start/end row in the image\n",
    "        :oversampling_img: Each pixel will be split in n x n and projected that many times\n",
    "        :oversampling_rot: project multiple times each image between rot and rot+d_rot \n",
    "        :return: None\n",
    "        \"\"\"\n",
    "\n",
    "        self.send_image(frame, img_slice)\n",
    "        if img_slice is None:\n",
    "            img_slice = slice(0,  self.image_shape[0])\n",
    "        wg = self.wg[\"regid_CDI_slaby\"]\n",
    "        ts = int(ceil(self.image_shape[1] / wg)) * wg\n",
    "        evt = self.program.regid_CDI_slaby(self.queue, (ts, img_slice.stop-img_slice.start) , (wg, 1),\n",
    "                                           self.cl_mem[\"image\"].data,\n",
    "                                           self.cl_mem[\"mask\"].data,\n",
    "                                           *self.image_shape,\n",
    "                                           img_slice.start, img_slice.stop,\n",
    "                                           self.pixel_size,\n",
    "                                           self.distance,\n",
    "                                           rot, d_rot,\n",
    "                                           *self.center,\n",
    "                                           self.scale,\n",
    "                                           self.cl_mem[\"signal\"].data,\n",
    "                                           self.cl_mem[\"norm\"].data,\n",
    "                                           self.volume_shape[-1],\n",
    "                                           self.slab_size,\n",
    "                                           vol_slice.start,\n",
    "                                           vol_slice.stop,\n",
    "                                           oversampling_img,\n",
    "                                           oversampling_rot)\n",
    "        self.profile_add(evt, \"Projection onto slab\")\n",
    "\n",
    "    def project_frames(self, l_frames, angles, step,\n",
    "                       vol_slice, img_slice=None,\n",
    "                       oversampling_img=1, oversampling_rot=1,\n",
    "                       ):\n",
    "        \"\"\"\n",
    "        Project all frames onto the slab.\n",
    "        \n",
    "        :param l_frames: list of frames\n",
    "        :param l_angles: angles associated with the frame\n",
    "        :param step: step size \n",
    "        :param vol_slice:  fraction of the volume to use (slicing along Y!)\n",
    "        :param img_slice:  fraction of the image to use\n",
    "        :return: the slab \n",
    "        \"\"\"\n",
    "        if self.progress_bar:\n",
    "            self.progress_bar.update(message=\"memset slab\")\n",
    "        self.clean_slab()\n",
    "\n",
    "        if vol_slice.stop - vol_slice.start > self.slab_size:\n",
    "            raise RuntimeError(\"Too many data to fit into memory\")\n",
    "        for angle, frame in zip(angles, l_frames):\n",
    "            if self.progress_bar:\n",
    "                self.progress_bar.update(message=f\"Project angle {angle:.1f}\")\n",
    "            self.project_one_frame(frame, angle, step,\n",
    "                                   vol_slice, img_slice,\n",
    "                                   oversampling_img, oversampling_rot)\n",
    "\n",
    "        if self.progress_bar:\n",
    "            self.progress_bar.update(message=\"get slab\")\n",
    "        return self.get_slab()\n",
    "\n",
    "    def process_all(self, frames,\n",
    "                    oversampling_img=1,\n",
    "                    oversampling_rot=1,\n",
    "                    ):\n",
    "        \"\"\"Project all frames and rebuild the 3D volume\n",
    "        :param frames: dict with angle: frame as numpy.array\n",
    "        :param oversample_img\n",
    "        \n",
    "        :return: 3D volume as numpy array\n",
    "        \"\"\"\n",
    "        angles = list(frames.keys())\n",
    "        angles.sort()\n",
    "        nangles = numpy.array(angles, dtype=numpy.float32)\n",
    "        steps = nangles[1:] - nangles[:-1]\n",
    "        step = steps.min()\n",
    "        l_frames = [frames[a] for a in angles]\n",
    "        oversampling_img = numpy.int32(oversampling_img)\n",
    "        oversampling_rot = numpy.int32(oversampling_rot)\n",
    "\n",
    "        if self.progress_bar:\n",
    "            self.progress_bar.max_value = (len(frames) + 2) * len(self.slicing)\n",
    "\n",
    "        full_volume = numpy.empty(self.volume_shape, dtype=numpy.float32)\n",
    "\n",
    "        for slab_idx, img_idx in self.slicing.items():\n",
    "            vol_slice = slice(numpy.int32(slab_idx[0]), numpy.int32(slab_idx[1]))\n",
    "            img_slice = slice(numpy.int32(img_idx[0]), numpy.int32(img_idx[1]))\n",
    "            if self.progress_bar:\n",
    "                self.progress_bar.title = \"Projection onto slab %04i-%04i\" % (vol_slice.start, vol_slice.stop)\n",
    "            slab = self.project_frames(l_frames, nangles, step,\n",
    "                                       vol_slice, img_slice,\n",
    "                                       oversampling_img, oversampling_rot)\n",
    "            full_volume[:, vol_slice,: ] = slab[:,: vol_slice.stop - vol_slice.start,:]\n",
    "        return full_volume\n",
    "\n",
    "    def clean_slab(self):\n",
    "        \"Memset the slab\"\n",
    "        size = self.slab_size * self.volume_shape[1] * self.volume_shape[2]\n",
    "        wg = self.wg[\"memset_signal\"]\n",
    "        ts = int(ceil(size / wg)) * wg\n",
    "        evt = self.program.memset_signal(self.queue, (ts,), (wg,),\n",
    "                                         self.cl_mem[\"signal\"].data,\n",
    "                                         self.cl_mem[\"norm\"].data,\n",
    "                                         numpy.uint64(size))\n",
    "        self.profile_add(evt, \"Memset signal/count\")\n",
    "\n",
    "    def get_slab(self):\n",
    "        \"\"\"\n",
    "        After all frames have been projected onto the slab, retrieve it after normalization \n",
    "        \n",
    "        :return: Ndarray of size (slab_size, volume_size_1, volume_size_2) \n",
    "        \"\"\"\n",
    "        size = self.slab_size * self.volume_shape[1] * self.volume_shape[2]\n",
    "        wg = self.wg[\"normalize_signal\"]\n",
    "        ts = int(ceil(size / wg)) * wg\n",
    "        signal_d = self.cl_mem[\"signal\"]\n",
    "        norm_d = self.cl_mem[\"norm\"]\n",
    "        evt = self.program.normalize_signal(self.queue, (ts,), (wg,),\n",
    "                                            signal_d.data,\n",
    "                                            norm_d.data,\n",
    "                                            numpy.uint64(size))\n",
    "        self.profile_add(evt, \"Normalization signal/count\")\n",
    "        result = signal_d.get()\n",
    "        if signal_d.events:\n",
    "            self.profile_add(signal_d.events[-1], \"Copy slab D --> H\")\n",
    "        return result"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/kieffer/.venv/py39/lib/python3.9/site-packages/pyopencl/__init__.py:266: CompilerWarning: Non-empty compiler output encountered. Set the environment variable PYOPENCL_COMPILER_OUTPUT=1 to see more.\n",
      "  warn(\"Non-empty compiler output encountered. Set the \"\n"
     ]
    }
   ],
   "source": [
    "full_volume = numpy.zeros(shape, dtype=numpy.float32)\n",
    "mask = numpy.zeros(shape, \"int8\")\n",
    "regrid = Regrid3D(mask=mask, \n",
    "                  volume_shape=volume_shape, \n",
    "                  center=center, \n",
    "                  pixel_size=pixel_size, \n",
    "                  distance=distance, \n",
    "                  slab_size=None, \n",
    "                  scale=1,\n",
    "                  profile=1,\n",
    "                  ctx=ctx)\n",
    "frames = {i: rec for i in numpy.linspace(-88, 88, 512, endpoint=True)}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CPU times: user 21min 54s, sys: 3.26 s, total: 21min 58s\n",
      "Wall time: 5min 54s\n"
     ]
    }
   ],
   "source": [
    "%time res = regrid.process_all(frames, 5, 5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "66014516.0"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "numpy.nanmax(res)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "OpenCL kernel profiling statistics in milliseconds for: Regrid3D\n",
      "                                       Kernel name (count):      min   median      max     mean      std\n",
      "                                 Copy mask H --> D (    1):    0.109    0.109    0.109    0.109    0.000\n",
      "                               Memset signal/count (    1):  237.844  237.844  237.844  237.844    0.000\n",
      "                                Copy image H --> D (  512):    0.140    0.176    3.352    0.223    0.259\n",
      "                              Projection onto slab (  512):  535.684  656.057 1238.806  688.149   89.303\n",
      "                        Normalization signal/count (    1):   88.884   88.884   88.884   88.884    0.000\n",
      "                                 Copy slab D --> H (    1):  126.843  126.843  126.843  126.843    0.000\n",
      "________________________________________________________________________________\n",
      "                       Total OpenCL execution time        : 352900.213ms\n"
     ]
    }
   ],
   "source": [
    "print(\"\\n\".join(regrid.log_profile(1)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
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       "                'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
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       "                } else {\n",
       "                    // Firefox implements old version of spec.\n",
       "                    width = entry.contentBoxSize.inlineSize;\n",
       "                    height = entry.contentBoxSize.blockSize;\n",
       "                }\n",
       "            } else {\n",
       "                // Chrome <84 implements even older version of spec.\n",
       "                width = entry.contentRect.width;\n",
       "                height = entry.contentRect.height;\n",
       "            }\n",
       "\n",
       "            // Keep the size of the canvas and rubber band canvas in sync with\n",
       "            // the canvas container.\n",
       "            if (entry.devicePixelContentBoxSize) {\n",
       "                // Chrome 84 implements new version of spec.\n",
       "                canvas.setAttribute(\n",
       "                    'width',\n",
       "                    entry.devicePixelContentBoxSize[0].inlineSize\n",
       "                );\n",
       "                canvas.setAttribute(\n",
       "                    'height',\n",
       "                    entry.devicePixelContentBoxSize[0].blockSize\n",
       "                );\n",
       "            } else {\n",
       "                canvas.setAttribute('width', width * fig.ratio);\n",
       "                canvas.setAttribute('height', height * fig.ratio);\n",
       "            }\n",
       "            canvas.setAttribute(\n",
       "                'style',\n",
       "                'width: ' + width + 'px; height: ' + height + 'px;'\n",
       "            );\n",
       "\n",
       "            rubberband_canvas.setAttribute('width', width);\n",
       "            rubberband_canvas.setAttribute('height', height);\n",
       "\n",
       "            // And update the size in Python. We ignore the initial 0/0 size\n",
       "            // that occurs as the element is placed into the DOM, which should\n",
       "            // otherwise not happen due to the minimum size styling.\n",
       "            if (fig.ws.readyState == 1 && width != 0 && height != 0) {\n",
       "                fig.request_resize(width, height);\n",
       "            }\n",
       "        }\n",
       "    });\n",
       "    this.resizeObserverInstance.observe(canvas_div);\n",
       "\n",
       "    function on_mouse_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.mouse_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousedown',\n",
       "        on_mouse_event_closure('button_press')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseup',\n",
       "        on_mouse_event_closure('button_release')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'dblclick',\n",
       "        on_mouse_event_closure('dblclick')\n",
       "    );\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousemove',\n",
       "        on_mouse_event_closure('motion_notify')\n",
       "    );\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseenter',\n",
       "        on_mouse_event_closure('figure_enter')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseleave',\n",
       "        on_mouse_event_closure('figure_leave')\n",
       "    );\n",
       "\n",
       "    canvas_div.addEventListener('wheel', function (event) {\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        on_mouse_event_closure('scroll')(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.appendChild(canvas);\n",
       "    canvas_div.appendChild(rubberband_canvas);\n",
       "\n",
       "    this.rubberband_context = rubberband_canvas.getContext('2d');\n",
       "    this.rubberband_context.strokeStyle = '#000000';\n",
       "\n",
       "    this._resize_canvas = function (width, height, forward) {\n",
       "        if (forward) {\n",
       "            canvas_div.style.width = width + 'px';\n",
       "            canvas_div.style.height = height + 'px';\n",
       "        }\n",
       "    };\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    this.rubberband_canvas.addEventListener('contextmenu', function (_e) {\n",
       "        event.preventDefault();\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus() {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'mpl-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'mpl-button-group';\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) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'mpl-button-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        var button = (fig.buttons[name] = document.createElement('button'));\n",
       "        button.classList = 'mpl-widget';\n",
       "        button.setAttribute('role', 'button');\n",
       "        button.setAttribute('aria-disabled', 'false');\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "\n",
       "        var icon_img = document.createElement('img');\n",
       "        icon_img.src = '_images/' + image + '.png';\n",
       "        icon_img.srcset = '_images/' + image + '_large.png 2x';\n",
       "        icon_img.alt = tooltip;\n",
       "        button.appendChild(icon_img);\n",
       "\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    var fmt_picker = document.createElement('select');\n",
       "    fmt_picker.classList = 'mpl-widget';\n",
       "    toolbar.appendChild(fmt_picker);\n",
       "    this.format_dropdown = fmt_picker;\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = document.createElement('option');\n",
       "        option.selected = fmt === mpl.default_extension;\n",
       "        option.innerHTML = fmt;\n",
       "        fmt_picker.appendChild(option);\n",
       "    }\n",
       "\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.request_resize = function (x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', { width: x_pixels, height: y_pixels });\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_message = function (type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function () {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({ type: 'draw', figure_id: this.id }));\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function (fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] !== fig.canvas.width || size[1] !== fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1], msg['forward']);\n",
       "        fig.send_message('refresh', {});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function (fig, msg) {\n",
       "    var x0 = msg['x0'] / fig.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / fig.ratio;\n",
       "    var x1 = msg['x1'] / fig.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / fig.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0,\n",
       "        0,\n",
       "        fig.canvas.width / fig.ratio,\n",
       "        fig.canvas.height / fig.ratio\n",
       "    );\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function (fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function (fig, msg) {\n",
       "    fig.rubberband_canvas.style.cursor = msg['cursor'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_message = function (fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "};\n",
       "\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",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function (fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_history_buttons = function (fig, msg) {\n",
       "    for (var key in msg) {\n",
       "        if (!(key in fig.buttons)) {\n",
       "            continue;\n",
       "        }\n",
       "        fig.buttons[key].disabled = !msg[key];\n",
       "        fig.buttons[key].setAttribute('aria-disabled', !msg[key]);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_navigate_mode = function (fig, msg) {\n",
       "    if (msg['mode'] === 'PAN') {\n",
       "        fig.buttons['Pan'].classList.add('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    } else if (msg['mode'] === 'ZOOM') {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.add('active');\n",
       "    } else {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message('ack', {});\n",
       "};\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",
       "            var img = evt.data;\n",
       "            if (img.type !== 'image/png') {\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",
       "                img.type = 'image/png';\n",
       "            }\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src\n",
       "                );\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                img\n",
       "            );\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        } else if (\n",
       "            typeof evt.data === 'string' &&\n",
       "            evt.data.slice(0, 21) === 'data:image/png;base64'\n",
       "        ) {\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(\n",
       "                \"No handler for the '\" + msg_type + \"' message type: \",\n",
       "                msg\n",
       "            );\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(\n",
       "                    \"Exception inside the 'handler_\" + msg_type + \"' callback:\",\n",
       "                    e,\n",
       "                    e.stack,\n",
       "                    msg\n",
       "                );\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "};\n",
       "\n",
       "// from https://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",
       "    }\n",
       "    if (e.target) {\n",
       "        targ = e.target;\n",
       "    } else if (e.srcElement) {\n",
       "        targ = e.srcElement;\n",
       "    }\n",
       "    if (targ.nodeType === 3) {\n",
       "        // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "    }\n",
       "\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    var boundingRect = targ.getBoundingClientRect();\n",
       "    var x = e.pageX - (boundingRect.left + document.body.scrollLeft);\n",
       "    var y = e.pageY - (boundingRect.top + document.body.scrollTop);\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",
       " * https://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",
       "        }\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",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * this.ratio;\n",
       "    var y = canvas_pos.y * this.ratio;\n",
       "\n",
       "    this.send_message(name, {\n",
       "        x: x,\n",
       "        y: y,\n",
       "        button: event.button,\n",
       "        step: event.step,\n",
       "        guiEvent: simpleKeys(event),\n",
       "    });\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",
       "    // Prevent repeat events\n",
       "    if (name === 'key_press') {\n",
       "        if (event.key === this._key) {\n",
       "            return;\n",
       "        } else {\n",
       "            this._key = event.key;\n",
       "        }\n",
       "    }\n",
       "    if (name === 'key_release') {\n",
       "        this._key = null;\n",
       "    }\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.key !== 'Control') {\n",
       "        value += 'ctrl+';\n",
       "    }\n",
       "    else if (event.altKey && event.key !== 'Alt') {\n",
       "        value += 'alt+';\n",
       "    }\n",
       "    else if (event.shiftKey && event.key !== 'Shift') {\n",
       "        value += 'shift+';\n",
       "    }\n",
       "\n",
       "    value += 'k' + event.key;\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, { key: value, 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",
       "\n",
       "///////////////// REMAINING CONTENT GENERATED BY embed_js.py /////////////////\n",
       "// prettier-ignore\n",
       "var _JSXTOOLS_RESIZE_OBSERVER=function(A){var t,i=new WeakMap,n=new WeakMap,a=new WeakMap,r=new WeakMap,o=new Set;function s(e){if(!(this instanceof s))throw new TypeError(\"Constructor requires 'new' operator\");i.set(this,e)}function h(){throw new TypeError(\"Function is not a constructor\")}function c(e,t,i,n){e=0 in arguments?Number(arguments[0]):0,t=1 in arguments?Number(arguments[1]):0,i=2 in arguments?Number(arguments[2]):0,n=3 in arguments?Number(arguments[3]):0,this.right=(this.x=this.left=e)+(this.width=i),this.bottom=(this.y=this.top=t)+(this.height=n),Object.freeze(this)}function d(){t=requestAnimationFrame(d);var s=new WeakMap,p=new Set;o.forEach((function(t){r.get(t).forEach((function(i){var r=t instanceof window.SVGElement,o=a.get(t),d=r?0:parseFloat(o.paddingTop),f=r?0:parseFloat(o.paddingRight),l=r?0:parseFloat(o.paddingBottom),u=r?0:parseFloat(o.paddingLeft),g=r?0:parseFloat(o.borderTopWidth),m=r?0:parseFloat(o.borderRightWidth),w=r?0:parseFloat(o.borderBottomWidth),b=u+f,F=d+l,v=(r?0:parseFloat(o.borderLeftWidth))+m,W=g+w,y=r?0:t.offsetHeight-W-t.clientHeight,E=r?0:t.offsetWidth-v-t.clientWidth,R=b+v,z=F+W,M=r?t.width:parseFloat(o.width)-R-E,O=r?t.height:parseFloat(o.height)-z-y;if(n.has(t)){var k=n.get(t);if(k[0]===M&&k[1]===O)return}n.set(t,[M,O]);var S=Object.create(h.prototype);S.target=t,S.contentRect=new c(u,d,M,O),s.has(i)||(s.set(i,[]),p.add(i)),s.get(i).push(S)}))})),p.forEach((function(e){i.get(e).call(e,s.get(e),e)}))}return s.prototype.observe=function(i){if(i instanceof window.Element){r.has(i)||(r.set(i,new Set),o.add(i),a.set(i,window.getComputedStyle(i)));var n=r.get(i);n.has(this)||n.add(this),cancelAnimationFrame(t),t=requestAnimationFrame(d)}},s.prototype.unobserve=function(i){if(i instanceof window.Element&&r.has(i)){var n=r.get(i);n.has(this)&&(n.delete(this),n.size||(r.delete(i),o.delete(i))),n.size||r.delete(i),o.size||cancelAnimationFrame(t)}},A.DOMRectReadOnly=c,A.ResizeObserver=s,A.ResizeObserverEntry=h,A}; // eslint-disable-line\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\", \"Left button pans, Right button zooms\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\\nx/y fixes axis\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pgf\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";/* global mpl */\n",
       "\n",
       "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.binaryType = comm.kernel.ws.binaryType;\n",
       "    ws.readyState = comm.kernel.ws.readyState;\n",
       "    function updateReadyState(_event) {\n",
       "        if (comm.kernel.ws) {\n",
       "            ws.readyState = comm.kernel.ws.readyState;\n",
       "        } else {\n",
       "            ws.readyState = 3; // Closed state.\n",
       "        }\n",
       "    }\n",
       "    comm.kernel.ws.addEventListener('open', updateReadyState);\n",
       "    comm.kernel.ws.addEventListener('close', updateReadyState);\n",
       "    comm.kernel.ws.addEventListener('error', updateReadyState);\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",
       "        var data = msg['content']['data'];\n",
       "        if (data['blob'] !== undefined) {\n",
       "            data = {\n",
       "                data: new Blob(msg['buffers'], { type: data['blob'] }),\n",
       "            };\n",
       "        }\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(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 = document.getElementById(id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm);\n",
       "\n",
       "    function ondownload(figure, _format) {\n",
       "        window.open(figure.canvas.toDataURL());\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy, ondownload, element);\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;\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",
       "    fig.cell_info[0].output_area.element.on(\n",
       "        'cleared',\n",
       "        { fig: fig },\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function (fig, msg) {\n",
       "    var width = fig.canvas.width / fig.ratio;\n",
       "    fig.cell_info[0].output_area.element.off(\n",
       "        'cleared',\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "    fig.resizeObserverInstance.unobserve(fig.canvas_div);\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.innerHTML =\n",
       "        '<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 / this.ratio;\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] =\n",
       "        '<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 () {\n",
       "        fig.push_to_output();\n",
       "    }, 1000);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'btn-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'btn-group';\n",
       "    var button;\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) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'btn-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        button = fig.buttons[name] = document.createElement('button');\n",
       "        button.classList = 'btn btn-default';\n",
       "        button.href = '#';\n",
       "        button.title = name;\n",
       "        button.innerHTML = '<i class=\"fa ' + image + ' fa-lg\"></i>';\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message pull-right';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = document.createElement('div');\n",
       "    buttongrp.classList = 'btn-group inline pull-right';\n",
       "    button = document.createElement('button');\n",
       "    button.classList = 'btn btn-mini btn-primary';\n",
       "    button.href = '#';\n",
       "    button.title = 'Stop Interaction';\n",
       "    button.innerHTML = '<i class=\"fa fa-power-off icon-remove icon-large\"></i>';\n",
       "    button.addEventListener('click', function (_evt) {\n",
       "        fig.handle_close(fig, {});\n",
       "    });\n",
       "    button.addEventListener(\n",
       "        'mouseover',\n",
       "        on_mouseover_closure('Stop Interaction')\n",
       "    );\n",
       "    buttongrp.appendChild(button);\n",
       "    var titlebar = this.root.querySelector('.ui-dialog-titlebar');\n",
       "    titlebar.insertBefore(buttongrp, titlebar.firstChild);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._remove_fig_handler = function (event) {\n",
       "    var fig = event.data.fig;\n",
       "    if (event.target !== this) {\n",
       "        // Ignore bubbled events from children.\n",
       "        return;\n",
       "    }\n",
       "    fig.close_ws(fig, {});\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (el) {\n",
       "    el.style.boxSizing = 'content-box'; // override notebook setting of border-box.\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (el) {\n",
       "    // this is important to make the div 'focusable\n",
       "    el.setAttribute('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",
       "    } else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (event, _name) {\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which === 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    fig.ondownload(fig, null);\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(\n",
       "        'matplotlib',\n",
       "        mpl.mpl_figure_comm\n",
       "    );\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
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     "output_type": "display_data"
    },
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\" width=\"900\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = subplots(1, 3, figsize=(9,3))\n",
    "x = y = z = 266\n",
    "ax[0].imshow(numpy.arcsinh(res[:,:,x]))\n",
    "ax[0].set_title(f\"Slice along x={x}\")\n",
    "\n",
    "ax[1].imshow(numpy.arcsinh(res[:,y,:]))\n",
    "ax[1].set_title(f\"Slice along y={y}\")\n",
    "ax[2].imshow(numpy.arcsinh(res[z,:,:]))\n",
    "ax[2].set_title(f\"Slice along z={z}\")\n",
    "for i in range(3):\n",
    "    ax[i].set_xlim(200,300)\n",
    "    ax[i].set_ylim(200,300)\n",
    "pass"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "# numpy.save(\"volume_512.h5\", res)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "def new_range(o):\n",
    "    start = 0.5*(o-1)\n",
    "    rng = (numpy.arange(o) - start)/o\n",
    "    return rng"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.0 [0.]\n",
      "0.0 [-0.25  0.25]\n",
      "0.0 [-0.33333333  0.          0.33333333]\n",
      "0.0 [-0.375 -0.125  0.125  0.375]\n",
      "-5.551115123125783e-17 [-0.4 -0.2  0.   0.2  0.4]\n",
      "-5.551115123125783e-17 [-0.41666667 -0.25       -0.08333333  0.08333333  0.25        0.41666667]\n",
      "5.551115123125783e-17 [-0.42857143 -0.28571429 -0.14285714  0.          0.14285714  0.28571429\n",
      "  0.42857143]\n",
      "0.0 [-0.4375 -0.3125 -0.1875 -0.0625  0.0625  0.1875  0.3125  0.4375]\n",
      "2.220446049250313e-16 [-0.44444444 -0.33333333 -0.22222222 -0.11111111  0.          0.11111111\n",
      "  0.22222222  0.33333333  0.44444444]\n"
     ]
    }
   ],
   "source": [
    "for i in range(1, 10):\n",
    "    rng = new_range(i)\n",
    "    print(rng.sum(), rng)"
   ]
  }
 ],
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