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{
"cells": [
{
"cell_type": "markdown",
"id": "b3954c58",
"metadata": {},
"source": [
"# How to extract digitizer peaks with the SCS Toolbox"
]
},
{
"cell_type": "code",
"execution_count": 1,
"id": "e8d99d6e",
"metadata": {},
"outputs": [],
"source": [
"import toolbox_scs as tb\n",
"import matplotlib.pyplot as plt\n",
"%matplotlib notebook\n",
"plt.rcParams['figure.constrained_layout.use'] = True"
]
},
{
"cell_type": "markdown",
"id": "0dc88ec5",
"metadata": {},
"source": [
"First, to explore the data contained in a run, we open a `DataCollection` using `open_run()` which is equivalent to the `extra_data.open_run()` function:"
]
},
{
"cell_type": "code",
"execution_count": 2,
"id": "5653df96",
"metadata": {},
"outputs": [],
"source": [
"proposal, runNB = 2956, 13\n",
"run = tb.open_run(proposal, runNB)"
]
},
{
"cell_type": "markdown",
"id": "78b464eb",
"metadata": {},
"source": [
"Each channel of each digitizer stores a string that is used to describe which device is connected to that channel. A dictionnary of all channels can be accessed as follows:"
]
},
{
"cell_type": "code",
"execution_count": 3,
"id": "24776895",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"{'FastADC_Ch0': 'CHEM DIAG X-ray PD',\n",
" 'FastADC_Ch1': 'PPL I0 at in-coupling window',\n",
" 'FastADC_Ch2': 'CHEM APD',\n",
" 'FastADC_Ch3': 'PPL Reflectometer PD',\n",
" 'FastADC_Ch4': '',\n",
" 'FastADC_Ch5': 'PPL 800 nm I0 ILH PD',\n",
" 'FastADC_Ch6': '',\n",
" 'FastADC_Ch7': 'No Description',\n",
" 'FastADC_Ch8': 'No Description',\n",
" 'FastADC_Ch9': 'CHEM DIAG Laser PD',\n",
" 'FastADC2_Ch0': 'No Description',\n",
" 'FastADC2_Ch1': 'No Description',\n",
" 'FastADC2_Ch2': 'No Description',\n",
" 'FastADC2_Ch3': 'No Description',\n",
" 'FastADC2_Ch4': 'No Description',\n",
" 'FastADC2_Ch5': 'diode 2 - diam = 5mm',\n",
" 'FastADC2_Ch6': 'I0_400 nm',\n",
" 'FastADC2_Ch7': 'diode 5 - diam = 3mm + Filter (Ti 400 nm / Polyimide 200 nm)',\n",
" 'FastADC2_Ch8': 'diode 6 - 10x10 mm + filter longpass > 550 nm',\n",
" 'FastADC2_Ch9': 'diode 8 - APD diam = 3 mm + Filter (Ti 400 nm / Polyimide 200 nm)'}"
]
},
"execution_count": 3,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"tb.digitizer_signal_description(run)"
]
},
{
"cell_type": "markdown",
"id": "8533a26e",
"metadata": {},
"source": [
"As is customary, we can always list the available mnemonics for the run as follows:"
]
},
{
"cell_type": "code",
"execution_count": 4,
"id": "fb343bd8",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"dict_keys(['sase3', 'sase2', 'sase1', 'maindump', 'bunchpattern', 'bunchPatternTable', 'npulses_sase3', 'npulses_sase1', 'BAM414', 'BAM1932M', 'BAM1932S', 'nrj', 'nrj_target', 'M2BEND', 'tpi', 'VSLIT', 'ESLIT', 'HSLIT', 'transmission', 'transmission_col2', 'GATT_pressure', 'UND', 'UND2', 'UND3', 'XTD10_photonFlux', 'XTD10_photonFlux_sigma', 'XTD10_XGM', 'XTD10_XGM_sigma', 'XTD10_SA3', 'XTD10_SA3_sigma', 'XTD10_SA1', 'XTD10_SA1_sigma', 'XTD10_slowTrain', 'XTD10_slowTrain_SA1', 'XTD10_slowTrain_SA3', 'SCS_photonFlux', 'SCS_photonFlux_sigma', 'SCS_XGM', 'SCS_XGM_sigma', 'SCS_SA1', 'SCS_SA1_sigma', 'SCS_SA3', 'SCS_SA3_sigma', 'SCS_slowTrain', 'SCS_slowTrain_SA1', 'SCS_slowTrain_SA3', 'HFM_BENDING', 'VFM_BENDING', 'AFS_DelayLine', 'AFS_FocusLens', 'PP800_PhaseShifter', 'PP800_SynchDelayLine', 'PP800_DelayLine', 'PP800_HalfWP', 'PP800_HWP_POWER', 'PP800_FocusLens', 'FFT_FocusLens', 'hRIXS_det', 'hRIXS_delay', 'hRIXS_index', 'hRIXS_norm', 'hRIXS_ABB', 'hRIXS_ABL', 'hRIXS_ABR', 'hRIXS_ABT', 'hRIXS_DRX', 'hRIXS_DTY1', 'hRIXS_DTZ', 'hRIXS_GMX', 'hRIXS_GRX', 'hRIXS_GTLY', 'hRIXS_GTRY', 'hRIXS_GTX', 'hRIXS_GTZ', 'XRD_DRY', 'XRD_SRX', 'XRD_SRY', 'XRD_SRZ', 'XRD_STX', 'XRD_STY', 'XRD_STZ', 'XRD_SXT1Y', 'XRD_SXT2Y', 'XRD_SXTX', 'XRD_SXTZ', 'FastADC0peaks', 'FastADC0raw', 'FastADC1peaks', 'FastADC1raw', 'FastADC2peaks', 'FastADC2raw', 'FastADC3peaks', 'FastADC3raw', 'FastADC4peaks', 'FastADC4raw', 'FastADC5peaks', 'FastADC5raw', 'FastADC6peaks', 'FastADC6raw', 'FastADC7peaks', 'FastADC7raw', 'FastADC8peaks', 'FastADC8raw', 'FastADC9peaks', 'FastADC9raw', 'FastADC2_0peaks', 'FastADC2_0raw', 'FastADC2_1peaks', 'FastADC2_1raw', 'FastADC2_2peaks', 'FastADC2_2raw', 'FastADC2_3peaks', 'FastADC2_3raw', 'FastADC2_4peaks', 'FastADC2_4raw', 'FastADC2_5peaks', 'FastADC2_5raw', 'FastADC2_6peaks', 'FastADC2_6raw', 'FastADC2_7peaks', 'FastADC2_7raw', 'FastADC2_8peaks', 'FastADC2_8raw', 'FastADC2_9peaks', 'FastADC2_9raw'])"
]
},
"execution_count": 4,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"tb.mnemonics_for_run(run).keys()"
]
},
{
"cell_type": "markdown",
"id": "0b88c855",
"metadata": {},
"source": [
"Let's assume that we are interested in the APD signal on diode 8, which corresponds to Ch9 of Fast ADC 2. We will load the raw traces of this channel (mnemonic *FastADC2_9raw*) and extract the peaks.\n",
"\n",
"This is, in principle, all done automatically in the `load()` function. The only piece of information that is required is which bunch pattern to use for the extraction (`'sase3'` if the device is looking at the FEL or `'scs_ppl'` if the device is looking at the PP laser), so that all data loaded simultaneously (XGM, BAM, digitizer, ...) is pulse-aligned. By default, data from FastADC2 uses the 'sase3' bunch pattern (parameter `fadc2_bp`), so we can in this case omit this parameter in the `load` function.\n",
"\n",
"A peak-finding algorithm analyses the averaged trace and finds the location of the peaks and performs trapezoidal integration on the interval centered on the peak."
]
},
{
"cell_type": "code",
"execution_count": 5,
"id": "addab039",
"metadata": {},
"outputs": [
{
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"</style><pre class='xr-text-repr-fallback'><xarray.Dataset>\n",
"Dimensions: (pulse_slot: 2700, sa3_pId: 400, trainId: 7804)\n",
"Coordinates:\n",
" * trainId (trainId) uint64 1501374970 1501374971 ... 1501382869\n",
" * sa3_pId (sa3_pId) int64 772 776 780 784 ... 2356 2360 2364 2368\n",
"Dimensions without coordinates: pulse_slot\n",
"Data variables:\n",
" bunchPatternTable (trainId, pulse_slot) uint32 2211625 0 ... 16777216\n",
" nrj (trainId) float64 931.6 931.6 931.5 ... 937.1 937.0 937.1\n",
" FastADC2_9peaks (trainId, sa3_pId) float64 -1.532e+04 ... -2.655e+03\n",
" SCS_SA3 (trainId, sa3_pId) float64 553.6 1.003e+03 ... 626.1\n",
"Attributes:\n",
" runFolder: /gpfs/exfel/exp/SCS/202202/p002956/raw/r0013</pre><div class='xr-wrap' hidden><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-ceff61c0-3b8d-4eaa-876e-9edbcd951905' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-ceff61c0-3b8d-4eaa-876e-9edbcd951905' class='xr-section-summary' title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span>pulse_slot</span>: 2700</li><li><span class='xr-has-index'>sa3_pId</span>: 400</li><li><span class='xr-has-index'>trainId</span>: 7804</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-d02862a9-8aa4-413f-b03a-ea78c2f2a2bc' class='xr-section-summary-in' type='checkbox' checked><label for='section-d02862a9-8aa4-413f-b03a-ea78c2f2a2bc' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>trainId</span></div><div class='xr-var-dims'>(trainId)</div><div class='xr-var-dtype'>uint64</div><div class='xr-var-preview xr-preview'>1501374970 ... 1501382869</div><input id='attrs-121f08ad-d92e-40fa-98e0-18ae6000c1d7' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-121f08ad-d92e-40fa-98e0-18ae6000c1d7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8bb57d9a-187c-4158-88b4-dbc8ab53b225' class='xr-var-data-in' type='checkbox'><label for='data-8bb57d9a-187c-4158-88b4-dbc8ab53b225' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([1501374970, 1501374971, 1501374972, ..., 1501382867, 1501382868,\n",
" 1501382869], dtype=uint64)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>sa3_pId</span></div><div class='xr-var-dims'>(sa3_pId)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>772 776 780 784 ... 2360 2364 2368</div><input id='attrs-1a6d7e3f-ef1f-4ae2-bd82-8ae997b1d36e' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-1a6d7e3f-ef1f-4ae2-bd82-8ae997b1d36e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-888da014-026c-4862-95c3-6d9adc1e51b6' class='xr-var-data-in' type='checkbox'><label for='data-888da014-026c-4862-95c3-6d9adc1e51b6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([ 772, 776, 780, ..., 2360, 2364, 2368])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-3e1ed5cb-2e36-423e-83a7-0eb623b6dea9' class='xr-section-summary-in' type='checkbox' checked><label for='section-3e1ed5cb-2e36-423e-83a7-0eb623b6dea9' class='xr-section-summary' >Data variables: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>bunchPatternTable</span></div><div class='xr-var-dims'>(trainId, pulse_slot)</div><div class='xr-var-dtype'>uint32</div><div class='xr-var-preview xr-preview'>2211625 0 ... 16777216 16777216</div><input id='attrs-5e1f770a-49d6-45c8-a035-30c2e3ba01e6' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-5e1f770a-49d6-45c8-a035-30c2e3ba01e6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-62d2527b-f53e-43a9-b0ec-d4c63b0e509f' class='xr-var-data-in' type='checkbox'><label for='data-62d2527b-f53e-43a9-b0ec-d4c63b0e509f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[ 2211625, 0, 2097193, ..., 16777216, 16777216, 16777216],\n",
" [ 2144041, 0, 2097193, ..., 16777216, 16777216, 16777216],\n",
" [ 2146089, 0, 2097193, ..., 16777216, 16777216, 16777216],\n",
" ...,\n",
" [ 2144041, 0, 2097193, ..., 16777216, 16777216, 16777216],\n",
" [ 2146089, 0, 2097193, ..., 16777216, 16777216, 16777216],\n",
" [ 2144041, 0, 2097193, ..., 16777216, 16777216, 16777216]],\n",
" dtype=uint32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>nrj</span></div><div class='xr-var-dims'>(trainId)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>931.6 931.6 931.5 ... 937.0 937.1</div><input id='attrs-666ddee4-e219-4218-939f-7674b2149d4c' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-666ddee4-e219-4218-939f-7674b2149d4c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d2e6ab4c-84d8-42e4-b6a5-93ac0aefac0d' class='xr-var-data-in' type='checkbox'><label for='data-d2e6ab4c-84d8-42e4-b6a5-93ac0aefac0d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([931.56104815, 931.58133731, 931.54481745, ..., 937.07140648,\n",
" 937.04266612, 937.05908897])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>FastADC2_9peaks</span></div><div class='xr-var-dims'>(trainId, sa3_pId)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-1.532e+04 ... -2.655e+03</div><input id='attrs-f1a9cb03-ce61-4cde-ac5b-455367001750' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-f1a9cb03-ce61-4cde-ac5b-455367001750' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-da1e650b-5dc8-4d12-8dce-9851ff85a556' class='xr-var-data-in' type='checkbox'><label for='data-da1e650b-5dc8-4d12-8dce-9851ff85a556' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[-15322.5, -29118. , -16230. , ..., -3377. , -20600.5, -12762.5],\n",
" [-19830. , -6252. , -11845.5, ..., -8974. , -8157.5, -37125. ],\n",
" [-30643.5, -1225. , -31828. , ..., -20236.5, -11664.5, -18687.5],\n",
" ...,\n",
" [ -1367.5, 556.5, 325. , ..., -2096.5, -1793. , -812.5],\n",
" [ -1442. , -2169.5, 1108.5, ..., -2121.5, -3154.5, -535. ],\n",
" [ -2377. , -2471.5, -2109.5, ..., -469.5, -712. , -2655. ]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>SCS_SA3</span></div><div class='xr-var-dims'>(trainId, sa3_pId)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>553.6 1.003e+03 ... 625.2 626.1</div><input id='attrs-04e0f251-7cdb-4520-b71b-9a5fa8e03740' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-04e0f251-7cdb-4520-b71b-9a5fa8e03740' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3196e9f4-5a7a-4776-9865-81c75ebd6b19' class='xr-var-data-in' type='checkbox'><label for='data-3196e9f4-5a7a-4776-9865-81c75ebd6b19' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[ 553.58990479, 1002.7635498 , 588.21862793, ..., 159.72709656,\n",
" 584.90869141, 469.00732422],\n",
" [ 729.78295898, 197.31863403, 350.71511841, ..., 333.3782959 ,\n",
" 239.52154541, 1348.59741211],\n",
" [1012.35583496, 155.80020142, 1075.75500488, ..., 780.81335449,\n",
" 518.77160645, 652.95458984],\n",
" ...,\n",
" [ 712.21923828, 687.50018311, 623.03265381, ..., 995.31140137,\n",
" 853.53509521, 1076.88537598],\n",
" [ 337.43884277, 476.76254272, 561.50762939, ..., 634.65576172,\n",
" 1289.45837402, 382.07299805],\n",
" [ 313.94122314, 462.3732605 , 684.91363525, ..., 132.80506897,\n",
" 625.18811035, 626.13842773]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-3710211f-06f9-4711-9ec0-fc6b80904fe4' class='xr-section-summary-in' type='checkbox' checked><label for='section-3710211f-06f9-4711-9ec0-fc6b80904fe4' class='xr-section-summary' >Attributes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>runFolder :</span></dt><dd>/gpfs/exfel/exp/SCS/202202/p002956/raw/r0013</dd></dl></div></li></ul></div></div>"
],
"text/plain": [
"<xarray.Dataset>\n",
"Dimensions: (pulse_slot: 2700, sa3_pId: 400, trainId: 7804)\n",
"Coordinates:\n",
" * trainId (trainId) uint64 1501374970 1501374971 ... 1501382869\n",
" * sa3_pId (sa3_pId) int64 772 776 780 784 ... 2356 2360 2364 2368\n",
"Dimensions without coordinates: pulse_slot\n",
"Data variables:\n",
" bunchPatternTable (trainId, pulse_slot) uint32 2211625 0 ... 16777216\n",
" nrj (trainId) float64 931.6 931.6 931.5 ... 937.1 937.0 937.1\n",
" FastADC2_9peaks (trainId, sa3_pId) float64 -1.532e+04 ... -2.655e+03\n",
" SCS_SA3 (trainId, sa3_pId) float64 553.6 1.003e+03 ... 626.1\n",
"Attributes:\n",
" runFolder: /gpfs/exfel/exp/SCS/202202/p002956/raw/r0013"
]
},
"execution_count": 5,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"proposal = 2956\n",
"fields = ['SCS_SA3', 'nrj', 'FastADC2_9raw']\n",
"run, ds = tb.load(proposal, 13, fields,)\n",
"ds"
]
},
{
"cell_type": "markdown",
"id": "1eec684f",
"metadata": {},
"source": [
"We see here that `ds` has a variable `FastADC2_9peaks` which has dimensions `['trainId', 'sa3_pId']`, which is exactly what we wanted: the raw traces were automatically transformed into vectors of length `sa3_pId`.\n",
"\n",
"If, for instance, the recorded signal was an optical laser(OL) pulse and that the OL pattern was different from the sase 3 bunch pattern, we would need to specify `fadc2_bp='scs_ppl'` in the load function."
]
},
{
"cell_type": "markdown",
"id": "7b204c22",
"metadata": {},
"source": [
"We can always inspect how the peak extraction was performed by using the following function:"
]
},
{
"cell_type": "code",
"execution_count": 6,
"id": "946601a8",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"bunch pattern sase3: 400 pulses, 96 samples between two pulses\n",
"Auto-find peak params: 400 pulses, 96 samples between two pulses\n"
]
},
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" };\n",
"\n",
" this.imageObj.onunload = function() {\n",
" fig.ws.close();\n",
" }\n",
"\n",
" this.ws.onmessage = this._make_on_message_function(this);\n",
"\n",
" this.ondownload = ondownload;\n",
"}\n",
"\n",
"mpl.figure.prototype._init_header = function() {\n",
" var titlebar = $(\n",
" '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
" 'ui-helper-clearfix\"/>');\n",
" var titletext = $(\n",
" '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
" 'text-align: center; padding: 3px;\"/>');\n",
" titlebar.append(titletext)\n",
" this.root.append(titlebar);\n",
" this.header = titletext[0];\n",
"}\n",
"\n",
"\n",
"\n",
"mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
"\n",
"}\n",
"\n",
"\n",
"mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
"\n",
"}\n",
"\n",
"mpl.figure.prototype._init_canvas = function() {\n",
" var fig = this;\n",
"\n",
" var canvas_div = $('<div/>');\n",
"\n",
" canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
"\n",
" function canvas_keyboard_event(event) {\n",
" return fig.key_event(event, event['data']);\n",
" }\n",
"\n",
" canvas_div.keydown('key_press', canvas_keyboard_event);\n",
" canvas_div.keyup('key_release', canvas_keyboard_event);\n",
" this.canvas_div = canvas_div\n",
" this._canvas_extra_style(canvas_div)\n",
" this.root.append(canvas_div);\n",
"\n",
" var canvas = $('<canvas/>');\n",
" canvas.addClass('mpl-canvas');\n",
" canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
"\n",
" this.canvas = canvas[0];\n",
" this.context = canvas[0].getContext(\"2d\");\n",
"\n",
" var backingStore = this.context.backingStorePixelRatio ||\n",
"\tthis.context.webkitBackingStorePixelRatio ||\n",
"\tthis.context.mozBackingStorePixelRatio ||\n",
"\tthis.context.msBackingStorePixelRatio ||\n",
"\tthis.context.oBackingStorePixelRatio ||\n",
"\tthis.context.backingStorePixelRatio || 1;\n",
"\n",
" mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
"\n",
" var rubberband = $('<canvas/>');\n",
" rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
"\n",
" var pass_mouse_events = true;\n",
"\n",
" canvas_div.resizable({\n",
" start: function(event, ui) {\n",
" pass_mouse_events = false;\n",
" },\n",
" resize: function(event, ui) {\n",
" fig.request_resize(ui.size.width, ui.size.height);\n",
" },\n",
" stop: function(event, ui) {\n",
" pass_mouse_events = true;\n",
" fig.request_resize(ui.size.width, ui.size.height);\n",
" },\n",
" });\n",
"\n",
" function mouse_event_fn(event) {\n",
" if (pass_mouse_events)\n",
" return fig.mouse_event(event, event['data']);\n",
" }\n",
"\n",
" rubberband.mousedown('button_press', mouse_event_fn);\n",
" rubberband.mouseup('button_release', mouse_event_fn);\n",
" // Throttle sequential mouse events to 1 every 20ms.\n",
" rubberband.mousemove('motion_notify', mouse_event_fn);\n",
"\n",
" rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
" rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
"\n",
" canvas_div.on(\"wheel\", function (event) {\n",
" event = event.originalEvent;\n",
" event['data'] = 'scroll'\n",
" if (event.deltaY < 0) {\n",
" event.step = 1;\n",
" } else {\n",
" event.step = -1;\n",
" }\n",
" mouse_event_fn(event);\n",
" });\n",
"\n",
" canvas_div.append(canvas);\n",
" canvas_div.append(rubberband);\n",
"\n",
" this.rubberband = rubberband;\n",
" this.rubberband_canvas = rubberband[0];\n",
" this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
" this.rubberband_context.strokeStyle = \"#000000\";\n",
"\n",
" this._resize_canvas = function(width, height) {\n",
" // Keep the size of the canvas, canvas container, and rubber band\n",
" // canvas in synch.\n",
" canvas_div.css('width', width)\n",
" canvas_div.css('height', height)\n",
"\n",
" canvas.attr('width', width * mpl.ratio);\n",
" canvas.attr('height', height * mpl.ratio);\n",
" canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
"\n",
" rubberband.attr('width', width);\n",
" rubberband.attr('height', height);\n",
" }\n",
"\n",
" // Set the figure to an initial 600x600px, this will subsequently be updated\n",
" // upon first draw.\n",
" this._resize_canvas(600, 600);\n",
"\n",
" // Disable right mouse context menu.\n",
" $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\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 nav_element = $('<div/>')\n",
" nav_element.attr('style', 'width: 100%');\n",
" this.root.append(nav_element);\n",
"\n",
" // Define a callback function for later on.\n",
" function toolbar_event(event) {\n",
" return fig.toolbar_button_onclick(event['data']);\n",
" }\n",
" function toolbar_mouse_event(event) {\n",
" return fig.toolbar_button_onmouseover(event['data']);\n",
" }\n",
"\n",
" for(var toolbar_ind in mpl.toolbar_items) {\n",
" var name = mpl.toolbar_items[toolbar_ind][0];\n",
" var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
" var image = mpl.toolbar_items[toolbar_ind][2];\n",
" var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
"\n",
" if (!name) {\n",
" // put a spacer in here.\n",
" continue;\n",
" }\n",
" var button = $('<button/>');\n",
" button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
" 'ui-button-icon-only');\n",
" 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",
"\n",
" button.append(icon_img);\n",
" button.append(tooltip_span);\n",
"\n",
" nav_element.append(button);\n",
" }\n",
"\n",
" var fmt_picker_span = $('<span/>');\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",
"\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",
" }\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",
"\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",
"\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",
"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",
"\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",
" 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, 0, fig.canvas.width, fig.canvas.height);\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",
" 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",
" }\n",
" fig.rubberband_canvas.style.cursor = 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.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",
" /* 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",