From f1521f8b6c4d4074d9d686cac660bf93ceb99371 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Lo=C3=AFc=20Le=20Guyader?= <loic.le.guyader@xfel.eu>
Date: Tue, 15 Feb 2022 16:22:31 +0100
Subject: [PATCH] Update notebook instruction and corresponding beams colors
---
doc/source/Interactive TZPG calculator.ipynb | 51678 ++++++++++++++---
src/TZPGcalc/TZPGcalc.py | 22 +-
2 files changed, 43770 insertions(+), 7930 deletions(-)
diff --git a/doc/source/Interactive TZPG calculator.ipynb b/doc/source/Interactive TZPG calculator.ipynb
index e54c44b..5a166b4 100644
--- a/doc/source/Interactive TZPG calculator.ipynb
+++ b/doc/source/Interactive TZPG calculator.ipynb
@@ -16,6 +16,48 @@
"mpl.rcParams['figure.constrained_layout.use'] = True"
]
},
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "# Introduction\n",
+ "\n",
+ "Using geometric optic, the beam path from the horizontal (intermediate horizontal focus) and vertical (exit slit) source to the corners of the zone plate aperture are calculated and then propagated up to the sample and detector plane to determine the beam sizes and position at each plane which are displyed by the calculator both at the same time. The calculation is done for the low energy bound and the high energy bound. The zone plate zero order beam which are unfocused are shown as gray rectangle. The zone plate first order beams which are the one that are focused near the sample position and then expand towards the detector are shown as red rectangles for the low energy bound and blue rectangles for the high energy bound. The zero order of the grating is shown as a darker color than the positive first and negative first order.\n",
+ "\n",
+ "# Sample plane\n",
+ "\n",
+ "On the sample plane, the continuous black line correspond to the membrane window while the dashed line correspond to the etching facets. If the thickness of the substrate is too thin, these etching facets will cross each others.\n",
+ "\n",
+ "# Detector plane\n",
+ "\n",
+ "The black rectangle corresponds to a single module of the DSSC detector with surface continuously covered with pixels and no gaps present. The 3 beams should be kept within this area. The green rectangles and diamond shape correspond to the masked area by the DSSC filter mount and is used to block the zone plate unfocused zero oder beam which should impinge on it.\n",
+ "\n",
+ "# Parameters section\n",
+ "\n",
+ "After the plot comes the parameters section where parameters for the calculation cna be changed and the result seen on the plot after clicking on the **Update** button.\n",
+ "\n",
+ "## Source and KBS\n",
+ "\n",
+ "The horizontal and vertical source size can be defined as well as the focusing condition of the KBS system. Clicking on the **Reset** button puts back the default values.\n",
+ "\n",
+ "\n",
+ "## Beam splitting Off axis Zone plate\n",
+ "\n",
+ "The beam splitting off axis zone plate contains many parameters. Chosing an optic listed in the **Type** will overide most of the parameters by selecting the parameters for an existing zone plate optics. To design a non existing optic, use **Custom**. The one can chose the design energy of the optics at which we give the horizontal and vertical focal length as well as the off axis component of the zone plate part and the pitch of the grating part. The maximum size of the zone plate can also be defined. In experiment we can reduce the zone plate with the guard stage in the FFT end station. Finally, the energy range on which we want to perform the calculation is given. This will be for example the edges of a XAS spectra we might want to record were we want to make sure the none of the beam willbe clipped by the sample apertures as we change the photon energy.\n",
+ "\n",
+ "## Sample\n",
+ "\n",
+ "The sample can be either an array of etched membrane or a liquid jet placed at a certain sample Z distance from the nominal interaction point. The sample can be moved in the plane using offset and also turned. If the sample is turned and the zone plate focus is within the sample the calculated beam shape will not be correct.\n",
+ "\n",
+ "## Detector\n",
+ "\n",
+ "The detector can be placed at various distance from the nominal interaction point and displaced laterally.\n",
+ "\n",
+ "## Spot size\n",
+ "\n",
+ "Two table give the spot size at the sample position for the low and high energy bound of the calculation, for zone plate zero order **F0** which is unfocused by the zone plate but still focused by the KBS and the zone plate first order **F1**. In each case, the positive first **G1**, zero **G0** and negative first **G-1** grating order are also given."
+ ]
+ },
{
"cell_type": "code",
"execution_count": 2,
@@ -27,36 +69,38 @@
"data": {
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"/* Put everything inside the global mpl namespace */\n",
+ "/* global mpl */\n",
"window.mpl = {};\n",
"\n",
- "\n",
- "mpl.get_websocket_type = function() {\n",
- " if (typeof(WebSocket) !== 'undefined') {\n",
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+ " } else if (typeof MozWebSocket !== 'undefined') {\n",
" return MozWebSocket;\n",
" } else {\n",
- " alert('Your browser does not have WebSocket support. ' +\n",
- " 'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
- " 'Firefox 4 and 5 are also supported but you ' +\n",
- " 'have to enable WebSockets in about:config.');\n",
- " };\n",
- "}\n",
+ " alert(\n",
+ " 'Your browser does not have WebSocket support. ' +\n",
+ " 'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
+ " 'Firefox 4 and 5 are also supported but you ' +\n",
+ " 'have to enable WebSockets in about:config.'\n",
+ " );\n",
+ " }\n",
+ "};\n",
"\n",
- "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
+ "mpl.figure = function (figure_id, websocket, ondownload, parent_element) {\n",
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"\n",
" this.ws = websocket;\n",
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+ " this.supports_binary = this.ws.binaryType !== undefined;\n",
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- " var warnings = document.getElementById(\"mpl-warnings\");\n",
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+ " warnings.textContent =\n",
+ " 'This browser does not support binary websocket messages. ' +\n",
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@@ -71,11 +115,11 @@
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" continue;\n",
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- " button.attr('role', 'button');\n",
- " button.attr('aria-disabled', 'false');\n",
- " button.click(method_name, toolbar_event);\n",
- " button.mouseover(tooltip, toolbar_mouse_event);\n",
- "\n",
- " var icon_img = $('<span/>');\n",
- " icon_img.addClass('ui-button-icon-primary ui-icon');\n",
- " icon_img.addClass(image);\n",
- " icon_img.addClass('ui-corner-all');\n",
"\n",
- " var tooltip_span = $('<span/>');\n",
- " tooltip_span.addClass('ui-button-text');\n",
- " tooltip_span.html(tooltip);\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",
- " button.append(icon_img);\n",
- " button.append(tooltip_span);\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",
- " nav_element.append(button);\n",
+ " buttonGroup.appendChild(button);\n",
" }\n",
"\n",
- " var fmt_picker_span = $('<span/>');\n",
+ " if (buttonGroup.hasChildNodes()) {\n",
+ " toolbar.appendChild(buttonGroup);\n",
+ " }\n",
"\n",
- " var fmt_picker = $('<select/>');\n",
- " fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
- " fmt_picker_span.append(fmt_picker);\n",
- " nav_element.append(fmt_picker_span);\n",
- " this.format_dropdown = fmt_picker[0];\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 = $(\n",
- " '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
- " fmt_picker.append(option);\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",
- " // Add hover states to the ui-buttons\n",
- " $( \".ui-button\" ).hover(\n",
- " function() { $(this).addClass(\"ui-state-hover\");},\n",
- " function() { $(this).removeClass(\"ui-state-hover\");}\n",
- " );\n",
- "\n",
- " var status_bar = $('<span class=\"mpl-message\"/>');\n",
- " nav_element.append(status_bar);\n",
- " this.message = status_bar[0];\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",
+ "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",
+ " this.send_message('resize', { width: x_pixels, height: y_pixels });\n",
+ "};\n",
"\n",
- "mpl.figure.prototype.send_message = function(type, properties) {\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",
"\n",
- "mpl.figure.prototype.send_draw_message = function() {\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",
+ " this.ws.send(JSON.stringify({ type: 'draw', figure_id: this.id }));\n",
" }\n",
- "}\n",
- "\n",
+ "};\n",
"\n",
- "mpl.figure.prototype.handle_save = function(fig, msg) {\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",
+ "};\n",
"\n",
- "mpl.figure.prototype.handle_resize = function(fig, msg) {\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]);\n",
- " fig.send_message(\"refresh\", {});\n",
- " };\n",
- "}\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'] / mpl.ratio;\n",
- " var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
- " var x1 = msg['x1'] / mpl.ratio;\n",
- " var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\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",
@@ -374,78 +493,108 @@
" var height = Math.abs(y1 - y0);\n",
"\n",
" fig.rubberband_context.clearRect(\n",
- " 0, 0, fig.canvas.width / mpl.ratio, fig.canvas.height / mpl.ratio);\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",
"\n",
- "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
+ "mpl.figure.prototype.handle_figure_label = function (fig, msg) {\n",
" // Updates the figure title.\n",
" fig.header.textContent = msg['label'];\n",
- "}\n",
+ "};\n",
"\n",
- "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
+ "mpl.figure.prototype.handle_cursor = function (fig, msg) {\n",
" var cursor = msg['cursor'];\n",
- " switch(cursor)\n",
- " {\n",
- " case 0:\n",
- " cursor = 'pointer';\n",
- " break;\n",
- " case 1:\n",
- " cursor = 'default';\n",
- " break;\n",
- " case 2:\n",
- " cursor = 'crosshair';\n",
- " break;\n",
- " case 3:\n",
- " cursor = 'move';\n",
- " break;\n",
+ " switch (cursor) {\n",
+ " case 0:\n",
+ " cursor = 'pointer';\n",
+ " break;\n",
+ " case 1:\n",
+ " cursor = 'default';\n",
+ " break;\n",
+ " case 2:\n",
+ " cursor = 'crosshair';\n",
+ " break;\n",
+ " case 3:\n",
+ " cursor = 'move';\n",
+ " break;\n",
" }\n",
" fig.rubberband_canvas.style.cursor = cursor;\n",
- "}\n",
+ "};\n",
"\n",
- "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
+ "mpl.figure.prototype.handle_message = function (fig, msg) {\n",
" fig.message.textContent = msg['message'];\n",
- "}\n",
+ "};\n",
"\n",
- "mpl.figure.prototype.handle_draw = function(fig, msg) {\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",
"\n",
- "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
+ "mpl.figure.prototype.handle_image_mode = function (fig, msg) {\n",
" fig.image_mode = msg['mode'];\n",
- "}\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",
+ "mpl.figure.prototype.updated_canvas_event = function () {\n",
" // Called whenever the canvas gets updated.\n",
- " this.send_message(\"ack\", {});\n",
- "}\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",
+ "mpl.figure.prototype._make_on_message_function = function (fig) {\n",
" return function socket_on_message(evt) {\n",
" if (evt.data instanceof Blob) {\n",
" /* FIXME: We get \"Resource interpreted as Image but\n",
" * transferred with MIME type text/plain:\" errors on\n",
" * Chrome. But how to set the MIME type? It doesn't seem\n",
" * to be part of the websocket stream */\n",
- " evt.data.type = \"image/png\";\n",
+ " evt.data.type = 'image/png';\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",
+ " fig.imageObj.src\n",
+ " );\n",
" }\n",
"\n",
" fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
- " evt.data);\n",
+ " evt.data\n",
+ " );\n",
" fig.updated_canvas_event();\n",
" fig.waiting = false;\n",
" return;\n",
- " }\n",
- " else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
+ " } 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",
@@ -458,9 +607,12 @@
" // 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",
+ " var callback = fig['handle_' + msg_type];\n",
" } catch (e) {\n",
- " console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
+ " console.log(\n",
+ " \"No handler for the '\" + msg_type + \"' message type: \",\n",
+ " msg\n",
+ " );\n",
" return;\n",
" }\n",
"\n",
@@ -469,32 +621,40 @@
" // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
" callback(fig, msg);\n",
" } catch (e) {\n",
- " console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
+ " console.log(\n",
+ " \"Exception inside the 'handler_\" + msg_type + \"' callback:\",\n",
+ " e,\n",
+ " e.stack,\n",
+ " msg\n",
+ " );\n",
" }\n",
" }\n",
" };\n",
- "}\n",
+ "};\n",
"\n",
"// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
- "mpl.findpos = function(e) {\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",
+ " if (!e) {\n",
" e = window.event;\n",
- " if (e.target)\n",
+ " }\n",
+ " if (e.target) {\n",
" targ = e.target;\n",
- " else if (e.srcElement)\n",
+ " } else if (e.srcElement) {\n",
" targ = e.srcElement;\n",
- " if (targ.nodeType == 3) // defeat Safari bug\n",
+ " }\n",
+ " if (targ.nodeType === 3) {\n",
+ " // defeat Safari bug\n",
" targ = targ.parentNode;\n",
+ " }\n",
"\n",
- " // jQuery normalizes the pageX and pageY\n",
" // pageX,Y are the mouse positions relative to the document\n",
- " // offset() returns the position of the element relative to the document\n",
- " var x = e.pageX - $(targ).offset().left;\n",
- " var y = e.pageY - $(targ).offset().top;\n",
+ " 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",
+ " return { x: x, y: y };\n",
"};\n",
"\n",
"/*\n",
@@ -502,29 +662,33 @@
" * we need this to avoid circular references\n",
" * http://stackoverflow.com/a/24161582/3208463\n",
" */\n",
- "function simpleKeys (original) {\n",
- " return Object.keys(original).reduce(function (obj, key) {\n",
- " if (typeof original[key] !== 'object')\n",
- " obj[key] = original[key]\n",
- " return obj;\n",
- " }, {});\n",
+ "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",
+ "mpl.figure.prototype.mouse_event = function (event, name) {\n",
+ " var canvas_pos = mpl.findpos(event);\n",
"\n",
- " if (name === 'button_press')\n",
- " {\n",
+ " if (name === 'button_press') {\n",
" this.canvas.focus();\n",
" this.canvas_div.focus();\n",
" }\n",
"\n",
- " var x = canvas_pos.x * mpl.ratio;\n",
- " var y = canvas_pos.y * mpl.ratio;\n",
+ " var x = canvas_pos.x * this.ratio;\n",
+ " var y = canvas_pos.y * this.ratio;\n",
"\n",
- " this.send_message(name, {x: x, y: y, button: event.button,\n",
- " step: event.step,\n",
- " guiEvent: simpleKeys(event)});\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",
@@ -532,265 +696,324 @@
" * 'cursor' event from matplotlib */\n",
" event.preventDefault();\n",
" return false;\n",
- "}\n",
+ "};\n",
"\n",
- "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
+ "mpl.figure.prototype._key_event_extra = function (_event, _name) {\n",
" // Handle any extra behaviour associated with a key event\n",
- "}\n",
- "\n",
- "mpl.figure.prototype.key_event = function(event, name) {\n",
+ "};\n",
"\n",
+ "mpl.figure.prototype.key_event = function (event, name) {\n",
" // Prevent repeat events\n",
- " if (name == 'key_press')\n",
- " {\n",
- " if (event.which === this._key)\n",
+ " if (name === 'key_press') {\n",
+ " if (event.which === this._key) {\n",
" return;\n",
- " else\n",
+ " } else {\n",
" this._key = event.which;\n",
+ " }\n",
" }\n",
- " if (name == 'key_release')\n",
+ " if (name === 'key_release') {\n",
" this._key = null;\n",
+ " }\n",
"\n",
" var value = '';\n",
- " if (event.ctrlKey && event.which != 17)\n",
- " value += \"ctrl+\";\n",
- " if (event.altKey && event.which != 18)\n",
- " value += \"alt+\";\n",
- " if (event.shiftKey && event.which != 16)\n",
- " value += \"shift+\";\n",
+ " if (event.ctrlKey && event.which !== 17) {\n",
+ " value += 'ctrl+';\n",
+ " }\n",
+ " if (event.altKey && event.which !== 18) {\n",
+ " value += 'alt+';\n",
+ " }\n",
+ " if (event.shiftKey && event.which !== 16) {\n",
+ " value += 'shift+';\n",
+ " }\n",
"\n",
" value += 'k';\n",
" value += event.which.toString();\n",
"\n",
" this._key_event_extra(event, name);\n",
"\n",
- " this.send_message(name, {key: value,\n",
- " guiEvent: simpleKeys(event)});\n",
+ " this.send_message(name, { key: value, guiEvent: simpleKeys(event) });\n",
" return false;\n",
- "}\n",
+ "};\n",
"\n",
- "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
- " if (name == 'download') {\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",
+ " this.send_message('toolbar_button', { name: name });\n",
" }\n",
"};\n",
"\n",
- "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
+ "mpl.figure.prototype.toolbar_button_onmouseover = function (tooltip) {\n",
" this.message.textContent = tooltip;\n",
"};\n",
- "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
"\n",
- "mpl.extensions = [\"eps\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\"];\n",
+ "///////////////// 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, CTRL fixes aspect\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
+ "\n",
+ "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
+ "\n",
+ "mpl.default_extension = \"png\";/* global mpl */\n",
"\n",
- "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\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.close = function() {\n",
- " comm.close()\n",
+ " ws.close = function () {\n",
+ " comm.close();\n",
" };\n",
- " ws.send = function(m) {\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",
+ " comm.on_msg(function (msg) {\n",
" //console.log('receiving', msg['content']['data'], msg);\n",
" // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
- " ws.onmessage(msg['content']['data'])\n",
+ " ws.onmessage(msg['content']['data']);\n",
" });\n",
" return ws;\n",
- "}\n",
+ "};\n",
"\n",
- "mpl.mpl_figure_comm = function(comm, msg) {\n",
+ "mpl.mpl_figure_comm = function (comm, msg) {\n",
" // This is the function which gets called when the mpl process\n",
" // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
"\n",
" var id = msg.content.data.id;\n",
" // Get hold of the div created by the display call when the Comm\n",
" // socket was opened in Python.\n",
- " var element = $(\"#\" + id);\n",
- " var ws_proxy = comm_websocket_adapter(comm)\n",
+ " var element = document.getElementById(id);\n",
+ " var ws_proxy = comm_websocket_adapter(comm);\n",
"\n",
- " function ondownload(figure, format) {\n",
- " window.open(figure.imageObj.src);\n",
+ " function ondownload(figure, _format) {\n",
+ " window.open(figure.canvas.toDataURL());\n",
" }\n",
"\n",
- " var fig = new mpl.figure(id, ws_proxy,\n",
- " ondownload,\n",
- " element.get(0));\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.get(0);\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",
+ " console.error('Failed to find cell for figure', id, fig);\n",
" return;\n",
" }\n",
- "\n",
- " var output_index = fig.cell_info[2]\n",
- " var cell = fig.cell_info[0];\n",
- "\n",
+ " 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/mpl.ratio\n",
- " fig.root.unbind('remove')\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).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\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",
"\n",
- "mpl.figure.prototype.close_ws = function(fig, msg){\n",
+ "mpl.figure.prototype.close_ws = function (fig, msg) {\n",
" fig.send_message('closing', msg);\n",
" // fig.ws.close()\n",
- "}\n",
+ "};\n",
"\n",
- "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
+ "mpl.figure.prototype.push_to_output = function (_remove_interactive) {\n",
" // Turn the data on the canvas into data in the output cell.\n",
- " var width = this.canvas.width/mpl.ratio\n",
+ " var width = this.canvas.width / this.ratio;\n",
" var dataURL = this.canvas.toDataURL();\n",
- " this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
- "}\n",
+ " this.cell_info[1]['text/html'] =\n",
+ " '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
+ "};\n",
"\n",
- "mpl.figure.prototype.updated_canvas_event = function() {\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",
+ " this.send_message('ack', {});\n",
" var fig = this;\n",
" // Wait a second, then push the new image to the DOM so\n",
" // that it is saved nicely (might be nice to debounce this).\n",
- " setTimeout(function () { fig.push_to_output() }, 1000);\n",
- "}\n",
+ " setTimeout(function () {\n",
+ " fig.push_to_output();\n",
+ " }, 1000);\n",
+ "};\n",
"\n",
- "mpl.figure.prototype._init_toolbar = function() {\n",
+ "mpl.figure.prototype._init_toolbar = function () {\n",
" var fig = this;\n",
"\n",
- " var nav_element = $('<div/>');\n",
- " nav_element.attr('style', 'width: 100%');\n",
- " this.root.append(nav_element);\n",
+ " var toolbar = document.createElement('div');\n",
+ " toolbar.classList = 'btn-toolbar';\n",
+ " this.root.appendChild(toolbar);\n",
"\n",
- " // Define a callback function for later on.\n",
- " function toolbar_event(event) {\n",
- " return fig.toolbar_button_onclick(event['data']);\n",
+ " function on_click_closure(name) {\n",
+ " return function (_event) {\n",
+ " return fig.toolbar_button_onclick(name);\n",
+ " };\n",
" }\n",
- " function toolbar_mouse_event(event) {\n",
- " return fig.toolbar_button_onmouseover(event['data']);\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",
- " for(var toolbar_ind in mpl.toolbar_items){\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) { continue; };\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",
- " var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
- " button.click(method_name, toolbar_event);\n",
- " button.mouseover(tooltip, toolbar_mouse_event);\n",
- " nav_element.append(button);\n",
+ " if (buttonGroup.hasChildNodes()) {\n",
+ " toolbar.appendChild(buttonGroup);\n",
" }\n",
"\n",
" // Add the status bar.\n",
- " var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
- " nav_element.append(status_bar);\n",
- " this.message = status_bar[0];\n",
+ " 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 = $('<div class=\"btn-group inline pull-right\"></div>');\n",
- " var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
- " button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
- " button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
- " buttongrp.append(button);\n",
- " var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
- " titlebar.prepend(buttongrp);\n",
- "}\n",
- "\n",
- "mpl.figure.prototype._root_extra_style = function(el){\n",
- " var fig = this\n",
- " el.on(\"remove\", function(){\n",
- "\tfig.close_ws(fig, {});\n",
+ " 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",
- "}\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",
+ "mpl.figure.prototype._canvas_extra_style = function (el) {\n",
" // this is important to make the div 'focusable\n",
- " el.attr('tabindex', 0)\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",
- " }\n",
- " else {\n",
+ " } else {\n",
" // location in version 2\n",
" IPython.keyboard_manager.register_events(el);\n",
" }\n",
+ "};\n",
"\n",
- "}\n",
- "\n",
- "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
+ "mpl.figure.prototype._key_event_extra = function (event, _name) {\n",
" var manager = IPython.notebook.keyboard_manager;\n",
- " if (!manager)\n",
+ " if (!manager) {\n",
" manager = IPython.keyboard_manager;\n",
+ " }\n",
"\n",
" // Check for shift+enter\n",
- " if (event.shiftKey && event.which == 13) {\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",
"\n",
- "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
+ "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
" fig.ondownload(fig, null);\n",
- "}\n",
- "\n",
+ "};\n",
"\n",
- "mpl.find_output_cell = function(html_output) {\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",
+ " 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",
+ " 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",
+ " if (data['text/html'] === html_output) {\n",
" return [cell, data, j];\n",
" }\n",
" }\n",
" }\n",
" }\n",
- "}\n",
+ "};\n",
"\n",
"// Register the function which deals with the matplotlib target/channel.\n",
"// The kernel may be null if the page has been refreshed.\n",
- "if (IPython.notebook.kernel != null) {\n",
- " IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
+ "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": [
@@ -803,7 +1026,7 @@
{
"data": {
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\" 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\" width=\"900\">"
],
"text/plain": [
"<IPython.core.display.HTML object>"
@@ -815,12 +1038,12 @@
{
"data": {
"application/vnd.jupyter.widget-view+json": {
- "model_id": "572caa6f60c048f3a93034925847b97c",
+ "model_id": "f10128f886364b1a957a02c9431b695d",
"version_major": 2,
"version_minor": 0
},
"text/plain": [
- "VBox(children=(Button(description='Update', style=ButtonStyle()), Accordion(children=(VBox(children=(BoundedIn…"
+ "VBox(children=(Button(description='Update', style=ButtonStyle()), Accordion(children=(VBox(children=(Button(de…"
]
},
"metadata": {},
@@ -829,7 +1052,7 @@
{
"data": {
"text/plain": [
- "<TZPGcalc.TZPGcalc.TZPGcalc at 0x7f91780991c0>"
+ "<TZPGcalc.TZPGcalc.TZPGcalc at 0x7f9f9853f1f0>"
]
},
"execution_count": 2,
@@ -841,6 +1064,13 @@
"from TZPGcalc.TZPGcalc import TZPGcalc\n",
"TZPGcalc()"
]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {},
+ "outputs": [],
+ "source": []
}
],
"metadata": {
@@ -859,7 +1089,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
- "version": "3.8.10"
+ "version": "3.9.7"
},
"widgets": {
"application/vnd.jupyter.widget-state+json": {
@@ -872,203 +1102,141 @@
"description_width": "initial"
}
},
- "008288c1f0c24d95a70be3e032f68751": {
- "model_module": "@jupyter-widgets/base",
- "model_module_version": "1.2.0",
- "model_name": "LayoutModel",
- "state": {}
- },
- "0093fc9dafb24620b5ed997430716841": {
+ "000c9ebbbc9d4c4987df9473375a62e0": {
"model_module": "@jupyter-widgets/controls",
"model_module_version": "1.5.0",
- "model_name": "BoundedIntTextModel",
+ "model_name": "DescriptionStyleModel",
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@@ -3930,383 +37551,411 @@
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@@ -6179,63 +40173,76 @@
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@@ -6243,27 +40250,32 @@
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@@ -6271,120 +40283,136 @@
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+ "layout": "IPY_MODEL_fac94f8e6b734f0bb8e447d19a9c198d",
+ "style": "IPY_MODEL_84315e71989c4f2985084414ba021b21",
+ "value": "<table border=\"1\" class=\"dataframe\">\n <thead>\n <tr style=\"text-align: right;\">\n <th></th>\n <th>H (um)</th>\n <th>V (um)</th>\n </tr>\n </thead>\n <tbody>\n <tr>\n <th>F0G-1</th>\n <td>923.66</td>\n <td>942.09</td>\n </tr>\n <tr>\n <th>F0G0</th>\n <td>923.66</td>\n <td>942.09</td>\n </tr>\n <tr>\n <th>F0G1</th>\n <td>923.66</td>\n <td>942.09</td>\n </tr>\n <tr>\n <th>F1G-1</th>\n <td>144.93</td>\n <td>125.27</td>\n </tr>\n <tr>\n <th>F1G0</th>\n <td>144.93</td>\n <td>125.27</td>\n </tr>\n <tr>\n <th>F1G1</th>\n <td>144.93</td>\n <td>125.27</td>\n </tr>\n </tbody>\n</table>"
+ }
+ },
+ "ffb5538427ee4f199153eddc37c0b883": {
+ "model_module": "@jupyter-widgets/controls",
+ "model_module_version": "1.5.0",
+ "model_name": "DropdownModel",
+ "state": {
+ "_options_labels": [
+ "Membranes Array",
+ "Flat Liquid Jet"
+ ],
+ "index": 0,
+ "layout": "IPY_MODEL_b7cf4bee4a5d4505bed104600e73b1d1",
+ "style": "IPY_MODEL_418f9ae9803f4ebab55978a92d776d62"
+ }
+ },
+ "ffb8be183bcf4a21809c7793956f0c26": {
+ "model_module": "@jupyter-widgets/controls",
+ "model_module_version": "1.5.0",
+ "model_name": "DescriptionStyleModel",
+ "state": {
+ "description_width": ""
+ }
+ },
"ffb9023a9db74e9dba659478dae0d206": {
"model_module": "@jupyter-widgets/base",
"model_module_version": "1.2.0",
"model_name": "LayoutModel",
"state": {}
},
+ "ffc0a6a795f6496d83953377bff443a9": {
+ "model_module": "@jupyter-widgets/base",
+ "model_module_version": "1.2.0",
+ "model_name": "LayoutModel",
+ "state": {}
+ },
"ffc6518e02924afbbff504ebd07da4d0": {
"model_module": "@jupyter-widgets/controls",
"model_module_version": "1.5.0",
@@ -16886,6 +52680,22 @@
"description_width": "initial"
}
},
+ "ffcecdae18b1454294d5e87dac2ac334": {
+ "model_module": "@jupyter-widgets/controls",
+ "model_module_version": "1.5.0",
+ "model_name": "LabelModel",
+ "state": {
+ "layout": "IPY_MODEL_4255e4ed0e824c25af68968ffaaaf3c0",
+ "style": "IPY_MODEL_7ea15db82d954190b122c76f30a7df29",
+ "value": "Low energy"
+ }
+ },
+ "ffd4168f57054acbad370200b1ba2990": {
+ "model_module": "@jupyter-widgets/base",
+ "model_module_version": "1.2.0",
+ "model_name": "LayoutModel",
+ "state": {}
+ },
"ffe38966f27144a88cdd7eb29dea4afa": {
"model_module": "@jupyter-widgets/controls",
"model_module_version": "1.5.0",
@@ -16893,6 +52703,36 @@
"state": {
"description_width": ""
}
+ },
+ "ffec51e4f5154c12b0578bd721b63b6c": {
+ "model_module": "@jupyter-widgets/controls",
+ "model_module_version": "1.5.0",
+ "model_name": "AccordionModel",
+ "state": {
+ "_titles": {
+ "0": "Detector"
+ },
+ "children": [
+ "IPY_MODEL_4b563230a6f34ded91bd6e87af1b05e7"
+ ],
+ "layout": "IPY_MODEL_b2c6250059694c1dbe592cb914396593"
+ }
+ },
+ "fff53d924f7148d59b7ef89124008453": {
+ "model_module": "@jupyter-widgets/controls",
+ "model_module_version": "1.5.0",
+ "model_name": "LabelModel",
+ "state": {
+ "layout": "IPY_MODEL_d0018d9f93e64fcb844a1bd761256789",
+ "style": "IPY_MODEL_44e0df1c3d4a4539b58b077958dd83d4",
+ "value": "Detector (m), "
+ }
+ },
+ "fff567b6124542d1bbc96132b7dda136": {
+ "model_module": "@jupyter-widgets/base",
+ "model_module_version": "1.2.0",
+ "model_name": "LayoutModel",
+ "state": {}
}
},
"version_major": 2,
diff --git a/src/TZPGcalc/TZPGcalc.py b/src/TZPGcalc/TZPGcalc.py
index 13131dd..4a21c16 100644
--- a/src/TZPGcalc/TZPGcalc.py
+++ b/src/TZPGcalc/TZPGcalc.py
@@ -147,10 +147,10 @@ class TZPGcalc():
self.ax_det.set_ylim([-20, 50])
# red and blue shifted color of the beams
- c_rr = hsv_to_rgb([0/360, 50/100, 100/100])
- c_rb = hsv_to_rgb([40/360, 50/100, 100/100])
- c_gr = hsv_to_rgb([95/360, 60/100, 100/100])
- c_gb = hsv_to_rgb([145/360, 60/100, 100/100])
+ c_rr = hsv_to_rgb([10/360, 100/100, 70/100])
+ c_rb = hsv_to_rgb([220/360, 100/100, 70/100])
+ c_gr = hsv_to_rgb([10/360, 100/100, 100/100])
+ c_gb = hsv_to_rgb([220/360, 100/100, 100/100])
self.samBeamsL = {
'F0G0': self.ax_sam.add_patch(
@@ -216,11 +216,11 @@ class TZPGcalc():
'module': self.ax_det.add_patch(
Rectangle((0, 0), 1, 1, fill=False, facecolor='k')),
'Vfilter': self.ax_det.add_patch(
- Rectangle((0, 0), 1, 1, facecolor="blue", alpha=0.4)),
+ Rectangle((0, 0), 1, 1, facecolor="green", alpha=0.4)),
'Hfilter': self.ax_det.add_patch(
- Rectangle((0, 0), 1, 1, facecolor="blue", alpha=0.4)),
+ Rectangle((0, 0), 1, 1, facecolor="green", alpha=0.4)),
'diamond': self.ax_det.add_patch(
- Rectangle((-8, -8), 16, 16, facecolor="blue", alpha=0.4,
+ Rectangle((-8, -8), 16, 16, facecolor="green", alpha=0.4,
angle=45))
}
@@ -771,11 +771,11 @@ class TZPGcalc():
self.widgets['3beams']]),
HBox([self.widgets['dr_label_x'],
self.widgets['dr_label_y']]),
- HBox([widgets.Label(value='Energy range (eV):'),
- self.widgets['nrjL'], self.widgets['nrjH']]),
- HBox([widgets.Label(value='TZPG (mm):'),
+ HBox([widgets.Label(value='Optics (mm):'),
self.widgets['TZPGwH'],
- self.widgets['TZPGwV']])
+ self.widgets['TZPGwV']]),
+ HBox([widgets.Label(value='Energy range (eV):'),
+ self.widgets['nrjL'], self.widgets['nrjH']])
])
# sample part
--
GitLab