{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# E4CV : 4-circle diffractometer example\n", "\n", "The [IUCr provides a schematic of the 4-circle diffractometer](http://ww1.iucr.org/iucr-top/comm/cteach/pamphlets/2/node14.html) (in horizontal geometry typical of a laboratory instrument).\n", "\n", "\n", "![E4CH geometry](resources/img69.gif)\n", "\n", "At X-ray synchrotrons, the vertical geometry is more common\n", "due to the polarization of the X-rays.\n", "\n", "----\n", "\n", "Note: This example is available as a\n", "[Jupyter notebook](https://jupyter.org/) from the *hklpy* source\n", "code website: https://github.com/bluesky/hklpy/tree/main/docs/source/examples/notebooks" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Setup the *E4CV* diffractometer in *hklpy*\n", "\n", "In _hkl_ *E4CV* geometry (https://people.debian.org/~picca/hkl/hkl.html#org7ef08ba):\n", "\n", "![E4CV geometry](resources/3S+1D.png)\n", "\n", "* xrays incident on the $\\vec{x}$ direction (1, 0, 0)\n", "\n", "axis | moves | rotation axis | vector\n", "--- | --- | --- | ---\n", "omega | sample | $-\\vec{y}$ | `[0 -1 0]`\n", "chi | sample | $\\vec{x}$ | `[1 0 0]`\n", "phi | sample | $-\\vec{y}$ | `[0 -1 0]`\n", "tth | detector | $-\\vec{y}$ | `[0 -1 0]`" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "\n", "## Define _this_ diffractometer\n", "\n", "Create a Python class that specifies the names of the \n", "real-space positioners. We call it `FourCircle` here but that\n", "choice is arbitrary. Pick any valid Python name not already in use.\n", "The convention is to start Python class names with a capital letter\n", "and use CamelCase to mark word starts.\n", "\n", "The argument to the `FourCircle()` class tells which *hklpy* base\n", "class will be used. This sets the geometry. (The class we show\n", "here could be replaced entirely with `hkl.geometries.SimulatedE4CV`\n", "but we choose to show here the complete steps to produce that class.)\n", "The [*hklpy*\n", "documentation](https://blueskyproject.io/hklpy/master/geometries.html)\n", "provides a complete list of diffractometer geometries.\n", "\n", "\n", "In *hklpy*, the reciprocal-space axes\n", "are known as `pseudo` positioners while the real-space axes\n", "are known as `real` positioners. For the real positioners,\n", "it is possible to use different names than the canonical names\n", "used internally by the *hkl* library. That is not covered here.\n", "\n", "Note: The keyword argument `kind=\"hinted\"` is an indication\n", "that this signal may be plotted.\n", "\n", "This `FourCircle()` class example uses simulated motors. See the drop-down\n", "for an example how to use EPICS motors.\n", "\n", "
\n", " FourCircle() class using EPICS motors\n", "\n", "\n", "```python\n", "\n", "from hkl import E4CV\n", "from ophyd import EpicsMotor, PseudoSingle\n", "from ophyd import Component as Cpt\n", "\n", "class FourCircle(E4CV):\n", " \"\"\"\n", " Our 4-circle. Eulerian. Vertical scattering orientation.\n", " \"\"\"\n", " # the reciprocal axes are called \"pseudo\" in hklpy\n", " h = Cpt(PseudoSingle, \"\", kind=\"hinted\")\n", " k = Cpt(PseudoSingle, \"\", kind=\"hinted\")\n", " l = Cpt(PseudoSingle, \"\", kind=\"hinted\")\n", "\n", " # the motor axes are called \"real\" in hklpy\n", " omega = Cpt(EpicsMotor, \"pv_prefix:m41\", kind=\"hinted\")\n", " chi = Cpt(EpicsMotor, \"pv_prefix:m22\", kind=\"hinted\")\n", " phi = Cpt(EpicsMotor, \"pv_prefix:m35\", kind=\"hinted\")\n", " tth = Cpt(EpicsMotor, \"pv_prefix:m7\", kind=\"hinted\")\n", "```\n", "\n", "
" ] }, { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [], "source": [ "from hkl import E4CV, SimMixin\n", "from ophyd import SoftPositioner\n", "from ophyd import Component as Cpt\n", "\n", "class FourCircle(SimMixin, E4CV):\n", " \"\"\"\n", " Our 4-circle. Eulerian, vertical scattering orientation.\n", " \"\"\"\n", " # the reciprocal axes are defined by SimMixin\n", "\n", " omega = Cpt(SoftPositioner, kind=\"hinted\", init_pos=0)\n", " chi = Cpt(SoftPositioner, kind=\"hinted\", init_pos=0)\n", " phi = Cpt(SoftPositioner, kind=\"hinted\", init_pos=0)\n", " tth = Cpt(SoftPositioner, kind=\"hinted\", init_pos=0)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Create the Python diffractometer object (`fourc`) using the `FourCircle()` class. By convention, the `name` keyword is the same as the object name." ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [], "source": [ "fourc = FourCircle(\"\", name=\"fourc\")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Add a sample with a crystal structure" ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "HklSample(name='silicon', lattice=LatticeTuple(a=5.431020511, b=5.431020511, c=5.431020511, alpha=90.0, beta=90.0, gamma=90.0), ux=Parameter(name='None (internally: ux)', limits=(min=-180.0, max=180.0), value=0.0, fit=True, inverted=False, units='Degree'), uy=Parameter(name='None (internally: uy)', limits=(min=-180.0, max=180.0), value=0.0, fit=True, inverted=False, units='Degree'), uz=Parameter(name='None (internally: uz)', limits=(min=-180.0, max=180.0), value=0.0, fit=True, inverted=False, units='Degree'), U=array([[1., 0., 0.],\n", " [0., 1., 0.],\n", " [0., 0., 1.]]), UB=array([[ 1.15690694e+00, -7.08401189e-17, -7.08401189e-17],\n", " [ 0.00000000e+00, 1.15690694e+00, -7.08401189e-17],\n", " [ 0.00000000e+00, 0.00000000e+00, 1.15690694e+00]]), reflections=[])" ] }, "execution_count": 3, "metadata": {}, "output_type": "execute_result" } ], "source": [ "from hkl import Lattice\n", "from hkl import SI_LATTICE_PARAMETER\n", "\n", "# add the sample to the calculation engine\n", "a0 = SI_LATTICE_PARAMETER\n", "fourc.calc.new_sample(\n", " \"silicon\",\n", " lattice=Lattice(a=a0, b=a0, c=a0, alpha=90, beta=90, gamma=90)\n", " )" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Setup the UB orientation matrix using *hklpy*\n", "\n", "Define the crystal's orientation on the diffractometer using \n", "the 2-reflection method described by [Busing & Levy, Acta Cryst 22 (1967) 457](https://www.psi.ch/sites/default/files/import/sinq/zebra/PracticalsEN/1967-Busing-Levy-3-4-circle-Acta22.pdf).\n", "\n", "### Set the same X-ray wavelength for both reflections, by setting the diffractometer energy" ] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [], "source": [ "from hkl import A_KEV\n", "fourc.energy.put(A_KEV / 1.54) # (8.0509 keV)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Specify the first reflection and identify its Miller indices: (_hkl_)" ] }, { "cell_type": "code", "execution_count": 5, "metadata": {}, "outputs": [], "source": [ "r1 = fourc.calc.sample.add_reflection(\n", " 4, 0, 0,\n", " position=fourc.calc.Position(\n", " tth=69.0966,\n", " omega=-145.451,\n", " chi=0,\n", " phi=0,\n", " )\n", ")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Specify the second reflection" ] }, { "cell_type": "code", "execution_count": 6, "metadata": {}, "outputs": [], "source": [ "r2 = fourc.calc.sample.add_reflection(\n", " 0, 4, 0,\n", " position=fourc.calc.Position(\n", " tth=69.0966,\n", " omega=-145.451,\n", " chi=90,\n", " phi=0,\n", " )\n", ")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Compute the *UB* orientation matrix\n", "\n", "The `add_reflection()` method uses the current wavelength at the time it is called. (To add reflections at different wavelengths, change the wavelength _before_ calling `add_reflection()` each time.) The `compute_UB()` method returns the computed **UB** matrix. Ignore it here." ] }, { "cell_type": "code", "execution_count": 7, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "array([[-1.41342846e-05, -1.41342846e-05, -1.15690694e+00],\n", " [ 0.00000000e+00, -1.15690694e+00, 1.41342846e-05],\n", " [-1.15690694e+00, 1.72682934e-10, 1.41342846e-05]])" ] }, "execution_count": 7, "metadata": {}, "output_type": "execute_result" } ], "source": [ "fourc.calc.sample.compute_UB(r1, r2)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Report what we have setup" ] }, { "cell_type": "code", "execution_count": 8, "metadata": { "tags": [] }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "===================== ===========================================================================\n", "term value \n", "===================== ===========================================================================\n", "diffractometer fourc \n", "geometry E4CV \n", "class FourCircle \n", "energy (keV) 8.05092 \n", "wavelength (angstrom) 1.54000 \n", "calc engine hkl \n", "mode bissector \n", "positions ===== ======= \n", " name value \n", " ===== ======= \n", " omega 0.00000 \n", " chi 0.00000 \n", " phi 0.00000 \n", " tth 0.00000 \n", " ===== ======= \n", "constraints ===== ========= ========== ===== ==== \n", " axis low_limit high_limit value fit \n", " ===== ========= ========== ===== ==== \n", " omega -180.0 180.0 0.0 True \n", " chi -180.0 180.0 0.0 True \n", " phi -180.0 180.0 0.0 True \n", " tth -180.0 180.0 0.0 True \n", " ===== ========= ========== ===== ==== \n", "sample: silicon ================= =========================================================\n", " term value \n", " ================= =========================================================\n", " unit cell edges a=5.431020511, b=5.431020511, c=5.431020511 \n", " unit cell angles alpha=90.0, beta=90.0, gamma=90.0 \n", " ref 1 (hkl) h=4.0, k=0.0, l=0.0 \n", " ref 1 positioners omega=-145.45100, chi=0.00000, phi=0.00000, tth=69.09660 \n", " ref 2 (hkl) h=0.0, k=4.0, l=0.0 \n", " ref 2 positioners omega=-145.45100, chi=90.00000, phi=0.00000, tth=69.09660\n", " [U] [[-1.22173048e-05 -1.22173048e-05 -1.00000000e+00] \n", " [ 0.00000000e+00 -1.00000000e+00 1.22173048e-05] \n", " [-1.00000000e+00 1.49262536e-10 1.22173048e-05]] \n", " [UB] [[-1.41342846e-05 -1.41342846e-05 -1.15690694e+00] \n", " [ 0.00000000e+00 -1.15690694e+00 1.41342846e-05] \n", " [-1.15690694e+00 1.72682934e-10 1.41342846e-05]] \n", " ================= =========================================================\n", "===================== ===========================================================================\n", "\n" ] }, { "data": { "text/plain": [ "" ] }, "execution_count": 8, "metadata": {}, "output_type": "execute_result" } ], "source": [ "fourc.pa()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Check the orientation matrix\n", "\n", "Perform checks with _forward_ (hkl to angle) and\n", "_inverse_ (angle to hkl) computations to verify the diffractometer\n", "will move to the same positions where the reflections were identified.\n", "\n", "### Constrain the motors to limited ranges\n", "\n", "* allow for slight roundoff errors\n", "* keep `tth` in the positive range\n", "* keep `omega` in the negative range\n", "* keep `phi` fixed at zero\n", "\n", "First, we apply constraints directly to the `calc`-level support." ] }, { "cell_type": "code", "execution_count": 9, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "===== ========= ========== ===== ====\n", "axis low_limit high_limit value fit \n", "===== ========= ========== ===== ====\n", "omega -180.0 0.001 0.0 True\n", "chi -180.0 180.0 0.0 True\n", "phi -180.0 180.0 0.0 True\n", "tth -0.001 180.0 0.0 True\n", "===== ========= ========== ===== ====\n", "\n" ] } ], "source": [ "fourc.calc[\"tth\"].limits = (-0.001, 180)\n", "fourc.calc[\"omega\"].limits = (-180, 0.001)\n", "fourc.show_constraints()\n", "\n", "fourc.phi.move(0)\n", "fourc.engine.mode = \"constant_phi\"" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Next, we show how to use additional methods of `Diffractometer()` that support *undo* and *reset* features for applied constraints. The support is based on a *stack* (a Python list). A set of constraints is added (`apply_constraints()`) or removed (`undo_last_constraints()`) from the stack. Or, the stack can be cleared (`reset_constraints()`).\n", "\n", "method | what happens\n", ":--- | :---\n", "`apply_constraints()` | Add a set of constraints and use them\n", "`undo_last_constraints()` | Remove the most-recent set of constraints and restore the previous one from the stack.\n", "`reset_constraints()` | Set constraints back to initial settings.\n", "`show_constraints()` | Print the current constraints in a table.\n", "\n", "A set of constraints is a Python dictionary that uses the real positioner names (the motors) as the keys. Only those constraints with changes need be added to the dictionary but it is permissable to describe all the real positioners. Each value in the dictionary is a [hkl.diffract.Constraint](https://blueskyproject.io/hklpy/diffract.html#hkl.diffract.Constraint), where the values are specified in this order: `low_limit, high_limit, value, fit`." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Apply new constraints using the [applyConstraints()](https://blueskyproject.io/hklpy/diffract.html#hkl.diffract.Diffractometer.apply_constraints) method. These *add* to the existing constraints, as shown in the table." ] }, { "cell_type": "code", "execution_count": 10, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "===== ========= ========== ===== ====\n", "axis low_limit high_limit value fit \n", "===== ========= ========== ===== ====\n", "omega -180.0 0.001 0.0 True\n", "chi -90.0 90.0 0.0 True\n", "phi -180.0 180.0 0.0 True\n", "tth -0.001 90.0 0.0 True\n", "===== ========= ========== ===== ====\n", "\n" ] }, { "data": { "text/plain": [ "" ] }, "execution_count": 10, "metadata": {}, "output_type": "execute_result" } ], "source": [ "from hkl import Constraint\n", "fourc.apply_constraints(\n", " {\n", " \"tth\": Constraint(-0.001, 90, 0, True),\n", " \"chi\": Constraint(-90, 90, 0, True),\n", " }\n", ")\n", "fourc.show_constraints()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Then remove (undo) those new additions." ] }, { "cell_type": "code", "execution_count": 11, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "===== ========= ========== ===== ====\n", "axis low_limit high_limit value fit \n", "===== ========= ========== ===== ====\n", "omega -180.0 0.001 0.0 True\n", "chi -180.0 180.0 0.0 True\n", "phi -180.0 180.0 0.0 True\n", "tth -0.001 180.0 0.0 True\n", "===== ========= ========== ===== ====\n", "\n" ] }, { "data": { "text/plain": [ "" ] }, "execution_count": 11, "metadata": {}, "output_type": "execute_result" } ], "source": [ "fourc.undo_last_constraints()\n", "fourc.show_constraints()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### (400) reflection test\n", "\n", "1. Check the `inverse` (angles -> (_hkl_)) computation.\n", "1. Check the `forward` ((_hkl_) -> angles) computation." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "#### Check the inverse calculation: (400)\n", "\n", "To calculate the (_hkl_) corresponding to a given set of motor angles,\n", "call `fourc.inverse((h, k, l))`. Note the second set of parentheses needed by this function.\n", "\n", "The values are specified, without names, in the order specified\n", "by `fourc.calc.physical_axis_names`." ] }, { "cell_type": "code", "execution_count": 12, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "axis names: ['omega', 'chi', 'phi', 'tth']\n" ] } ], "source": [ "print(\"axis names:\", fourc.calc.physical_axis_names)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Now, proceed with the inverse calculation." ] }, { "cell_type": "code", "execution_count": 13, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "(4 0 0) ? 4.00 0.00 0.00\n" ] } ], "source": [ "sol = fourc.inverse((-145.451, 0, 0, 69.0966))\n", "print(f\"(4 0 0) ? {sol.h:.2f} {sol.k:.2f} {sol.l:.2f}\")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "#### Check the forward calculation: (400)\n", "\n", "Compute the angles necessary to position the diffractometer\n", "for the given reflection.\n", "\n", "Note that for the forward computation, more than one set of angles may be used to reach the same crystal reflection. This test will report the *default* selection. The *default* selection (which may be changed through methods described in the `hkl.calc` module) is the first solution.\n", "\n", "function | returns\n", "--- | ---\n", "`fourc.forward()` | The *default* solution\n", "`fourc.calc.forward()` | List of all allowed solutions." ] }, { "cell_type": "code", "execution_count": 14, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "(400) : tth=69.0982 omega=-145.4502 chi=-0.0000 phi=0.0000\n" ] } ], "source": [ "sol = fourc.forward((4, 0, 0))\n", "print(\n", " \"(400) :\", \n", " f\"tth={sol.tth:.4f}\", \n", " f\"omega={sol.omega:.4f}\", \n", " f\"chi={sol.chi:.4f}\", \n", " f\"phi={sol.phi:.4f}\"\n", " )" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### (040) reflection test\n", "\n", "Repeat the `inverse` and `forward` calculations for the\n", "second orientation reflection." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "#### Check the inverse calculation: (040)" ] }, { "cell_type": "code", "execution_count": 15, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "(0 4 0) ? 0.00 4.00 0.00\n" ] } ], "source": [ "sol = fourc.inverse((-145.451, 90, 0, 69.0966))\n", "print(f\"(0 4 0) ? {sol.h:.2f} {sol.k:.2f} {sol.l:.2f}\")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "#### Check the forward calculation: (040)" ] }, { "cell_type": "code", "execution_count": 16, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "(040) : tth=69.0982 omega=-145.4502 chi=90.0000 phi=0.0000\n" ] } ], "source": [ "sol = fourc.forward((0, 4, 0))\n", "print(\n", " \"(040) :\", \n", " f\"tth={sol.tth:.4f}\", \n", " f\"omega={sol.omega:.4f}\", \n", " f\"chi={sol.chi:.4f}\", \n", " f\"phi={sol.phi:.4f}\"\n", " )" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Scan in reciprocal space using Bluesky\n", "\n", "To scan with Bluesky, we need more setup." ] }, { "cell_type": "code", "execution_count": 17, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "1" ] }, "execution_count": 17, "metadata": {}, "output_type": "execute_result" } ], "source": [ "%matplotlib inline\n", "\n", "from bluesky import RunEngine\n", "from bluesky import SupplementalData\n", "from bluesky.callbacks.best_effort import BestEffortCallback\n", "from bluesky.magics import BlueskyMagics\n", "import bluesky.plans as bp\n", "import bluesky.plan_stubs as bps\n", "import databroker\n", "from IPython import get_ipython\n", "import matplotlib.pyplot as plt\n", "\n", "plt.ion()\n", "\n", "bec = BestEffortCallback()\n", "db = databroker.temp().v1\n", "sd = SupplementalData()\n", "\n", "get_ipython().register_magics(BlueskyMagics)\n", "\n", "RE = RunEngine({})\n", "RE.md = {}\n", "RE.preprocessors.append(sd)\n", "RE.subscribe(db.insert)\n", "RE.subscribe(bec)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### (_h00_) scan near (400)\n", "\n", "In this example, we have no detector. Still, we add the diffractometer\n", "object in the detector list so that the _hkl_ and motor positions will appear\n", "as columns in the table." ] }, { "cell_type": "code", "execution_count": 18, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\n", "\n", "Transient Scan ID: 1 Time: 2023-11-20 21:54:23\n", "Persistent Unique Scan ID: '09df1bc7-c0f4-4602-838a-d951148e9bbc'\n", "New stream: 'primary'\n", "+-----------+------------+------------+------------+------------+-------------+------------+------------+------------+\n", "| seq_num | time | fourc_h | fourc_k | fourc_l | fourc_omega | fourc_chi | fourc_phi | fourc_tth |\n", "+-----------+------------+------------+------------+------------+-------------+------------+------------+------------+\n", "| 1 | 21:54:24.1 | 3.900 | -0.000 | -0.000 | -146.431 | -0.000 | 0.000 | 67.137 |\n", "| 2 | 21:54:24.7 | 3.950 | -0.000 | -0.000 | -145.942 | 0.000 | 0.000 | 68.115 |\n", "| 3 | 21:54:25.3 | 4.000 | -0.000 | -0.000 | -145.450 | -0.000 | 0.000 | 69.098 |\n", "| 4 | 21:54:25.9 | 4.050 | -0.000 | 0.000 | -144.956 | -0.000 | 0.000 | 70.087 |\n", "| 5 | 21:54:26.5 | 4.100 | -0.000 | -0.000 | -144.458 | -0.000 | 0.000 | 71.083 |\n", "+-----------+------------+------------+------------+------------+-------------+------------+------------+------------+\n", "generator scan ['09df1bc7'] (scan num: 1)\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "/home/prjemian/.conda/envs/bluesky_2023_3/lib/python3.11/site-packages/bluesky/callbacks/fitting.py:167: RuntimeWarning: invalid value encountered in scalar divide\n", " np.sum(input * grids[dir].astype(float), labels, index) / normalizer\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "\n", "\n", "\n" ] }, { "data": { "text/plain": [ "('09df1bc7-c0f4-4602-838a-d951148e9bbc',)" ] }, "execution_count": 18, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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"text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "RE(bp.scan([fourc], fourc.h, 3.9, 4.1, 5))" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### chi scan from (400) to (040)\n", "\n", "If we do this with $\\omega=-145.4500$ and $2\\theta=69.0985$, this will be a scan between the two orientation reflections.\n", "\n", "Use `%mov` (IPython *magic* command) to move both motors at the same time." ] }, { "cell_type": "code", "execution_count": 19, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "possible modes: ['bissector', 'constant_omega', 'constant_chi', 'constant_phi', 'double_diffraction', 'psi_constant']\n", "chosen mode: constant_phi\n", "\n", "\n", "Transient Scan ID: 2 Time: 2023-11-20 21:54:28\n", "Persistent Unique Scan ID: '9e38d630-10e7-4d08-8235-631f06794940'\n", "New stream: 'primary'\n", "+-----------+------------+------------+------------+------------+------------+-------------+------------+------------+\n", "| seq_num | time | fourc_chi | fourc_h | fourc_k | fourc_l | fourc_omega | fourc_phi | fourc_tth |\n", "+-----------+------------+------------+------------+------------+------------+-------------+------------+------------+\n", "| 1 | 21:54:28.4 | 0.000 | 4.000 | 0.000 | 0.000 | -145.450 | 0.000 | 69.099 |\n", "| 2 | 21:54:29.0 | 10.000 | 3.939 | 0.695 | -0.000 | -145.450 | 0.000 | 69.099 |\n", "| 3 | 21:54:29.6 | 20.000 | 3.759 | 1.368 | -0.000 | -145.450 | 0.000 | 69.099 |\n", "| 4 | 21:54:30.1 | 30.000 | 3.464 | 2.000 | -0.000 | -145.450 | 0.000 | 69.099 |\n", "| 5 | 21:54:30.7 | 40.000 | 3.064 | 2.571 | -0.000 | -145.450 | 0.000 | 69.099 |\n", "| 6 | 21:54:31.3 | 50.000 | 2.571 | 3.064 | -0.000 | -145.450 | 0.000 | 69.099 |\n", "| 7 | 21:54:31.9 | 60.000 | 2.000 | 3.464 | -0.000 | -145.450 | 0.000 | 69.099 |\n", "| 8 | 21:54:32.5 | 70.000 | 1.368 | 3.759 | -0.000 | -145.450 | 0.000 | 69.099 |\n", "| 9 | 21:54:33.1 | 80.000 | 0.695 | 3.939 | -0.000 | -145.450 | 0.000 | 69.099 |\n", "| 10 | 21:54:33.6 | 90.000 | 0.000 | 4.000 | 0.000 | -145.450 | 0.000 | 69.099 |\n", "+-----------+------------+------------+------------+------------+------------+-------------+------------+------------+\n", "generator scan ['9e38d630'] (scan num: 2)\n", "\n", "\n", "\n" ] }, { "data": { "text/plain": [ "('9e38d630-10e7-4d08-8235-631f06794940',)" ] }, "execution_count": 19, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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"text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "print(\"possible modes:\", fourc.calc.engine.modes)\n", "print(\"chosen mode:\", fourc.calc.engine.mode)\n", "\n", "# same as orientation reflections\n", "%mov fourc.omega -145.4500 fourc.tth 69.0985\n", "\n", "RE(bp.scan([fourc], fourc.chi, 0, 90, 10))" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### (_0k0_) scan near (040)" ] }, { "cell_type": "code", "execution_count": 20, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\n", "\n", "Transient Scan ID: 3 Time: 2023-11-20 21:54:35\n", "Persistent Unique Scan ID: '855bb64b-0056-4bbb-8c88-ccdd4248a8f8'\n", "New stream: 'primary'\n", "+-----------+------------+------------+------------+------------+-------------+------------+------------+------------+\n", "| seq_num | time | fourc_k | fourc_h | fourc_l | fourc_omega | fourc_chi | fourc_phi | fourc_tth |\n", "+-----------+------------+------------+------------+------------+-------------+------------+------------+------------+\n", "| 1 | 21:54:35.4 | 3.900 | 4.100 | 0.000 | -126.652 | 43.568 | 0.000 | 106.695 |\n", "| 2 | 21:54:36.0 | 3.950 | 4.100 | -0.000 | -126.179 | 43.933 | 0.000 | 107.641 |\n", "| 3 | 21:54:36.5 | 4.000 | 4.100 | -0.000 | -125.697 | 44.293 | 0.000 | 108.604 |\n", "| 4 | 21:54:37.1 | 4.050 | 4.100 | -0.000 | -125.206 | 44.648 | 0.000 | 109.585 |\n", "| 5 | 21:54:37.7 | 4.100 | 4.100 | -0.000 | -124.707 | 45.000 | 0.000 | 110.585 |\n", "+-----------+------------+------------+------------+------------+-------------+------------+------------+------------+\n", "generator scan ['855bb64b'] (scan num: 3)\n", "\n", "\n", "\n" ] }, { "data": { "text/plain": [ "('855bb64b-0056-4bbb-8c88-ccdd4248a8f8',)" ] }, "execution_count": 20, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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lLl3WrI6eZESEi0YxA6aZPHmyLBaLHnjggdOuv+eee2SxWPTaa6/95b5ee+01NW/eXDVq1FBUVJTGjh2roqKi8g0MAFXcsRKnhs9M1K6DBYoI8tWM4R0UVMPL7FgAAAAAAHiUvKJSjZiRqIN5xWpRL0Bv3RYvu41L8RfLbnYAVE+JiYn64IMPFBcXd9r133zzjVauXKmIiIi/3Ncnn3yiRx55RNOmTVPXrl21bds2DR06VJL06quvlmdsAKiyHE6X/vHZGiWnZiuohpdmDu+o8KAaZscCAAAAAMCjOJwujf40WVsy81QnwEdTh3ZQgC83EpYHykGodPn5+br99ts1ZcoU1apV65T1+/fv1+jRo/XJJ5/Iy+uv/6EvX75c3bp102233aaGDRuqd+/euvXWW7V69eqKiA8AVY5hGJrwzQb9vDlLPnarPhzSXpeEBZgdCwAAAAAAj2IYhp6ct1GLtx2Ur5dVU4e0V/1gbiQsLxQzUOlGjRqlfv36qWfPnqesc7lcuvPOO/XQQw+pdevW57S/Sy+9VElJSVq1apUkadeuXZo/f7769etXrrkBoKp67eftmp2YJqtFeuPWeHVoWNvsSAAAAAAAeJypf+zWxytSZbFIr90Sr7jIYLMjeRSKGahUs2fP1po1azR58uTTrn/hhRdkt9t1//33n/M+Bw0apKefflqXXnqpvLy81KRJE11xxRV65JFHzvia4uJi5ebmnvQAAE/06cpUvf7v7ZKkp/rHqE/reiYnAgAAQGVasmSJrrvuOkVERMhiseibb745af3cuXPVp08fhYaGymKxKCUl5ZR9FBcX6x//+IdCQ0Pl7++v66+/Xvv27aucAwCAKmLhxkw9O3+zJOnRvi11dQy/v8sbxQxUmrS0NI0ZM0Yff/yxfH19T1mflJSk119/XTNmzJDFYjnn/f7222969tln9c4772jNmjWaO3euvv/+ez399NNnfM3kyZMVFBRU9oiKirqgYwIAd7ZwY6YmfLNeknT/lU11R+cGJicCAABAZSsoKFCbNm301ltvnXF9t27d9Pzzz59xHw888IC+/vprzZ49W3/88Yfy8/N17bXXyul0VlRsAKhS1u/L0ZjZKTIM6bZO0bqreyOzI3kki2EYhtkhUD188803GjBggGw2W9kyp9Mpi8Uiq9WqF154QQ899JCsVutJ661Wq6KiorRnz57T7rd79+7q3LmzXnrppbJlH3/8se6++27l5+eftL8TiouLVVxcXPY8NzdXUVFRysnJUWBgYDkcLQCYK2nvEd02ZaWKHS7d0j5Kzw+MPa9CMY7Lzc1VUFAQ7YMb4rMBAJwO7cPZWSwWff3117rhhhtOWbdnzx41atRIycnJatu2bdnynJwc1alTRx999JFuueUWSVJ6erqioqI0f/589enT55zem88GgKdKzz6mG95eqqy8YnW/JFTThnaQl40+BOfqfNoHeyVlAnTVVVdp/fr1Jy0bNmyYWrRooYcffljh4eGnfAnq06eP7rzzTg0bNuyM+y0sLDylYGGz2WQYhs5Uq/Px8ZGPj88FHgkAuLcdWXkaPmO1ih0uXdmirp4dEEMhAwAAABckKSlJpaWl6t27d9myiIgIxcTEaNmyZedczAAAT5Rf7NDwGYnKyitWs7Caevv2dhQyKhDFDFSagIAAxcTEnLTM399fISEhZctDQkJOWu/l5aV69eqpefPmZcsGDx6s+vXrl827cd111+mVV15RfHy8OnXqpB07dujxxx/X9ddff1IvEACoDjJzijRkWqJyjpWqbVSw3rotXna+SAEAAOACZWZmytvbW7Vq1TppeVhYmDIzM8/4utONiAAAnsThdGn0p2u0JTNPoTV9NG1oBwX6epkdy6NRzECVk5qaelJPjAkTJshisWjChAnav3+/6tSpo+uuu07PPvusiSkBoPLlHCvV0OmrtD/7mBqH+mva0A7y86apBwAAQPkzDOOsvX8nT56sSZMmVWIiAKg8hmHoqe836betB+XrZdXUIe0VWcvP7FgejyscMNVvv/121vWnmyfjf19jt9v1xBNP6Iknnii/YABQxRQ7nLrno9XakpmnOgE+mjm8o2r7e5sdCwAAAFVcvXr1VFJSoqNHj57UOyMrK0tdu3Y94+vGjx+vcePGlT0/MVclAHiC6Uv3aNbyvbJYpNduaas2UcFmR6oWGHcCAIAqzuUyNO7ztVqx64hq+tg1Y1gHRdXmjhAAAABcvISEBHl5eWnRokVlyzIyMrRhw4azFjN8fHwUGBh40gMAPMHPmw7o6R82SZIeubqFro4JNzlR9UHPDAAAqrATXVt/WJ8hL5tF79+ZoNYRQWbHAgAAgJvIz8/Xjh07yp7v3r1bKSkpql27tqKjo3XkyBGlpqYqPT1dkrR161ZJx3tk1KtXT0FBQRoxYoT++c9/KiQkRLVr19aDDz6o2NhY9ezZ05RjAgCzbNifo398lizDkG7tGKW7ezQ2O1K1Qs8MAACqsPeX7NKMZXskSf/3t7bq1jTU3EAAAABwK6tXr1Z8fLzi4+MlSePGjVN8fLwmTpwoSfruu+8UHx+vfv36SZIGDRqk+Ph4vffee2X7ePXVV3XDDTfob3/7m7p16yY/Pz/NmzdPNput8g8IAEySkXNMI2Ym6lipU90vCdVT/WPOOncQyp/FMAzD7BCA2XJzcxUUFKScnBy6vgKoMuau2adxX6yVJE3o11J3deeOkPJG++C++GwAAKdD++C++GwAVGX5xQ7d/N5ybc7IVbOwmvrqvq4K9PUyO5ZHOJ/2gZ4ZAABUQYu3HdS/vlonSRrZvRGFDAAAAAAAKoDD6dL9nyVrc0auQmt6a+qQDhQyTEIxAwCAKmbdvmzd93GSHC5D/dtGaHzflmZHAgAAAADAIz3zw2b9siVLPnarpgxur6jafmZHqrYoZgAAUIXsPVyg4TMSVVji1KVNQ/XSTW1ktTJGJwAAAAAA5W360t1l81S+ektbxUfXMjdQNUcxAwCAKuJQfrEGT1ulQ/klahUeqHfvaCdvO005AAAAAADl7d+bD+jp7zdJkh7p20LXxIabnAhcAQEAoAooKHZo+IxE7T1cqMhaNTRjeAcFMEYnAAAAAADlbsP+HP3js2S5DGlQhyjd04N5Kt0BxQwAANxcqdOl+z5Zo3X7clTb31uzhndU3QBfs2MBAAAAAOBxMnOKNGLmf4Z3fvqGGFksDO/sDihmAADgxgzD0MNz1mnJtoOq4WXT1CHt1bhOTbNjAQAAAADgcQqKHRoxM1EHcot1Sd2aevv2dvKycQndXfBJAADgxl78aavmrtkvm9Wit2+PZ7IxAAAAAAAqgNNlaMzsZG1Mz1WIv7emDe2goBoM7+xOKGYAAOCmZizdrXd/2ylJmnxjrK5sEWZyIgAAAAAAPNMzP2zSz5uz5GO3asqQ9oqq7Wd2JPwPihkAALihH9ZlaNL3myRJD/Zupr+1jzI5EQAAAAAAnmnmsj2avnSPJOmVv7VVO0ZFcEsUMwAAcDPLdx7W2M9TZBjSnZ0baNQVTc2OBAAAAACAR/plywFNmrdRkvSvq5urX1y4yYlwJhQzAABwI1syc3X3R6tV4nSpT+swPXl9a1ksFrNjAQAAAADgcTal5+ofnybLZUi3tI/SfZc1MTsSzoJiBgAAbmJ/9jENmbZKeUUOdWhYS68PipfNSiEDAAAAAIDydiC3SCNmJqqgxKmuTUL0zIAYbiZ0cxQzAABwA9mFJRoybZUO5Bbrkro19eHgDvL1spkdCwAAAAAAj1NQ7NDwGYnKyClSkzr+evf2BHnZuFTu7viEAAAwWVGpUyNmrtaOrHzVC/TVzOEdFeTnZXYsAAAAAAA8jtNlaMzsZG1Mz1WIv7emD+U3eFVBMQMAABM5nC7947NkJe09qkBfu2YO76iI4BpmxwIAAAAAwCM9+8Nm/bw5S952qz4Y3F7RIX5mR8I5opgBAIBJDMPQxO82atGmA/K2WzVlcHs1rxdgdiwAAAAAADzSR8v3aNrS3ZKkV/7WRgkNapmcCOeDYgYAACZ585cd+nRlqiwW6fVb2qpT4xCzIwEAAAAA4JF+3ZqlJ77bKEl6qE9zXRsXYXIinC+KGQAAmGD2qlS9smibJGnS9a3VNzbc5EQAAAAAAHimzRm5Gv3JGrkM6aaESP398iZmR8IFoJgBAEAl+3nTAT369XpJ0qgrmmhwl4bmBgIAAAAAwEMdyC3S8BmJKihxqkvjED03IFYWi8XsWLgAFDMAAKhEa1KPavRn/7kb5MHezc2OBAAAAACARyoscWjEzERl5BSpSR1/vXdHgrztXBKvqvjkAACoJDuy8jV8RqKKSl26vHkdTb6Ru0EAAAAAAKgITpehMbNTtGF/rmr7e2v60I4K8vMyOxYuAsUMAAAqwYHcIg2ZtkrZhaVqExmkd25vJy8bzTAAAAAAABVh8vzNWrTpgLztVk0ZnKDoED+zI+EicRUFAIAKlltUqqHTE7U/+5gahvhp2tAO8vO2mx0LAAAAAACP9PGKvfrwj92SpJdvbqOEBrVNToTyQDEDAIAKVOxw6t6PkrQ5I1ehNb01a3gnhdT0MTsWAAAAAAAe6betWXriu42SpAd7N9P1bSJMToTyQjEDAIAK4nIZ+ucXa7Vs52H5e9s0Y1hHurUCAAAAAFBBtmTmavSnyXK6DA1sF6lRVzQ1OxLKEcUMAAAqgGEYeuaHzfp+XYbsVoveuzNBMfWDzI4FAAAAAIBHysot0vDpicovdqhz49qafGOsLBaL2bFQjihmAABQAab8vkvTlv5nfM7ul9QxOREAAAAAAJ6psMShu2atVnpOkRqH+uu9OxLkbefSt6fhEwUAoJx9m7Jfz83fIkka37eFboivb3IiAAAAAAA8k8tlaOznKVq3L0e1/Lw0fVgHBft5mx0LFYBiBgAA5WjZjkN68Mu1kqRh3Rrq7h6NTU4EAAAAAIDnen7BFv208YC8bVZNGdxeDUL8zY6ECkIxAwCAcrI5I1f3fJSkUqehfrHherxfK8bnBAAAAACggnyycq8+WLJLkvTSzXFq37C2yYlQkShmAABQDtKzj2nY9ETlFTvUsWFt/d/f2shqpZABAAAAAEBFWLztoCZ+u1GSNK5XM/VvyxDPno5iBgAAFynnWKmGTl+lzNwiNa1bUx8MTpCvl83sWAAAAAAAeKStmXka/ckaOV2GbmxXX/+4sqnZkVAJKGYAAHARih1O3T1rtbYdyFfdAB/NYKIxAAAAAAAqzIHcIg2bvur4yAiNamvyjbEM8VxNUMwAAOACuVyGHvxynVbuPqKaPnZNH9ZBkbX8zI4FAAAAAIBHyi92aNj0RKXnFKlxHX99cGeCfOyMjFBdUMwAAOACPb9gi+atTZfdatG7d7RT64ggsyMBAAAAAOCRHE6XRn2yRpsychVa01szh3VkZIRqhmIGAAAXYPrS3fpgyS5J0os3xan7JXVMTgQAAAAAgGcyDEOPf7tBi7cdlK+XVVOHdFBUbUZGqG4oZsA0kydPlsVi0QMPPHDa9ffcc48sFotee+21v9xXdna2Ro0apfDwcPn6+qply5aaP39++QYGgD/9uD5DT32/SZL0UJ/murFdpMmJAAAAAADwXO/8tlOfrUqT1SK9eWs7tYkKNjsSTGA3OwCqp8TERH3wwQeKi4s77fpvvvlGK1euVERExF/uq6SkRL169VLdunX11VdfKTIyUmlpaQoICCjv2ACgxD1HNObzFBmGdHunaP398iZmRwIAAAAAwGN9m7JfL/20VZL0xHWt1atVmMmJYBaKGah0+fn5uv322zVlyhQ988wzp6zfv3+/Ro8erZ9++kn9+vX7y/1NmzZNR44c0bJly+Tl5SVJatCgQbnnBoAdWfm6a+ZqlThc6tkyTE/1j5HFYjE7FgAAAAAAHmnFrsN66Mt1kqS7Lm2kIV0bmhsIpmKYKVS6UaNGqV+/furZs+cp61wul+6880499NBDat269Tnt77vvvlOXLl00atQohYWFKSYmRs8995ycTmd5RwdQjWXlFmnItFXKOVaqtlHBevPWeNmsFDIAAAAAAKgIO7LydPes1SpxutQ3pp4evaal2ZFgMnpmoFLNnj1ba9asUWJi4mnXv/DCC7Lb7br//vvPeZ+7du3SL7/8ottvv13z58/X9u3bNWrUKDkcDk2cOPG0rykuLlZxcXHZ89zc3PM7EADVSn6xQ8NmJGp/9jE1DPHT1CHtVcPbZnYsAAAAAAA8UlZekYZOT1RukUPtooP16i1tZeWGwmqPYgYqTVpamsaMGaOFCxfK19f3lPVJSUl6/fXXtWbNmvMatsXlcqlu3br64IMPZLPZlJCQoPT0dL300ktnLGZMnjxZkyZNuuBjAVB9lDpduu/jJG1Mz1WIv7dmDu+okJo+ZscCAAAAAMAjFZY4NGLGau07evyGwg+HdJCvFzcUgmGmUImSkpKUlZWlhIQE2e122e12LV68WG+88Ybsdrt+++03ZWVlKTo6umz93r179c9//lMNGzY8437Dw8PVrFkz2Wz/+aPWsmVLZWZmqqSk5LSvGT9+vHJycsoeaWlp5X24ADyAYRh6ZM56/b79kGp42TRtaAc1CPE3OxYAAAAAAB7J6TJ0/2fJWr8/R7X9vTVjWEfV9vc2OxbcBD0zUGmuuuoqrV+//qRlw4YNU4sWLfTwww8rPDxcffr0OWl9nz59dOedd2rYsGFn3G+3bt306aefyuVyyWo9Xp/btm2bwsPD5e19+j92Pj4+8vHhzmoAZ/fKom2as2afrBbp7dvj1SYq2OxIAAAAAAB4JMMwNGneRv28OUs+dqumDG6vhqHcUIj/oGcGKk1AQIBiYmJOevj7+yskJEQxMTFl//vfDy8vL9WrV0/Nmzcv28/gwYM1fvz4suf33XefDh8+rDFjxmjbtm364Ycf9Nxzz2nUqFFmHCYAD/HpylS9+csOSdKzA2J1ZYswkxMB5nnnnXfUqFEj+fr6KiEhQb///vtZt1+8eLESEhLk6+urxo0b67333jtp/ZQpU9S9e3fVqlVLtWrVUs+ePbVq1aqKPAQAAAAAbu7D33dr1vK9slik125pq4QGtcyOBDdDMQNVTmpqqjIyMsqeR0VFaeHChUpMTFRcXJzuv/9+jRkzRo888oiJKQFUZf/efEATvjnek+z+K5vq1o7RJicCzPP555/rgQce0GOPPabk5GR1795dffv2VWpq6mm33717t6655hp1795dycnJevTRR3X//fdrzpw5Zdv89ttvuvXWW/Xrr79q+fLlio6OVu/evbV///7KOiwAAAAAbuSHdRl6dv5mSdJj17RU39hwkxPBHVkMwzDMDgGYLTc3V0FBQcrJyVFgYKDZcQCYKCUtW7d+sELHSp26KSFSL90UJ4vFYnYsmIT2QerUqZPatWund999t2xZy5YtdcMNN2jy5MmnbP/www/ru+++0+bNm8uW3XvvvVq7dq2WL19+2vdwOp2qVauW3nrrLQ0ePPiccvHZAABOh/bBffHZADiT1XuO6LYPV6rE4dLQrg31xHWt+B1ejZxP+0DPDAAA/rTnUIFGzEjUsVKnejSro8k3xvIFCtVaSUmJkpKS1Lt375OW9+7dW8uWLTvta5YvX37K9n369NHq1atVWlp62tcUFhaqtLRUtWvXPmOW4uJi5ebmnvQAAAAAULXtOpivkbNWq8ThUq9WYXr8WgoZODOKGQAASDqcX6yh01fpcEGJYuoH6p3b28nLRjOJ6u3QoUNyOp0KCzt5zpiwsDBlZmae9jWZmZmn3d7hcOjQoUOnfc0jjzyi+vXrq2fPnmfMMnnyZAUFBZU9oqKizvNoAAAAALiT47/DE3W0sFRtIoP0xqB42awUMnBmXKUBAFR7x0qcGj5ztfYcLlRkrRqaNrSDavrYzY4FuI3/vTPKMIyz3i11uu1Pt1ySXnzxRX322WeaO3eufH19z7jP8ePHKycnp+yRlpZ2PocAAAAAwI0UlTp116zVSj1SqKjaNfThkA6q4W0zOxbcHFdqAADVmsPp0j8+W6O1adkK9vPSjGEdVTfgzBdUgeokNDRUNpvtlF4YWVlZp/S+OKFevXqn3d5utyskJOSk5S+//LKee+45/fzzz4qLiztrFh8fH/n4+FzAUQAAAABwJ06XoQdmpyg5NVtBNbw0fWhH1Qnguz7+Gj0zAADVlmEYmvjdRv28OUs+dqs+HNxeTevWNDsW4Da8vb2VkJCgRYsWnbR80aJF6tq162lf06VLl1O2X7hwodq3by8vL6+yZS+99JKefvppLViwQO3bty//8AAAAADc0nPzN2vBxkx526yawu9wnAeKGQCAauud33bq05Wpslik1we1VfuGZ558GKiuxo0bpw8//FDTpk3T5s2bNXbsWKWmpuree++VdHz4p8GDB5dtf++992rv3r0aN26cNm/erGnTpmnq1Kl68MEHy7Z58cUXNWHCBE2bNk0NGzZUZmamMjMzlZ+fX+nHBwAAAKDyTF+6W1P/2C1JevlvbdSxEb/Dce4YZgoAUC3NSdqnl37aKkl64tpWujom3OREgHu65ZZbdPjwYT311FPKyMhQTEyM5s+frwYNGkiSMjIylJqaWrZ9o0aNNH/+fI0dO1Zvv/22IiIi9MYbb2jgwIFl27zzzjsqKSnRTTfddNJ7PfHEE3ryyScr5bgAAAAAVK6fNmbqqe83SZIevrqFrm8TYXIiVDUW48SMjEA1lpubq6CgIOXk5CgwMNDsOAAq2JJtBzV8RqIcLkP39Gis8de0NDsS3BTtg/viswEAnA7tg/viswGqt+TUo7p1ygoVlbp0W6doPXtDjCwWi9mx4AbOp31gmCkAQLWyMT1H932cJIfL0PVtIvTw1S3MjgQAAAAAgMfae7hAd81craJSl65oXkdPXd+aQgYuCMUMAEC1se9ooYb+f3v3HR9Fnf9x/L3phSSUQBIg9BIg9IRmQQWCnB1PRTCQgIqK0k4ULCdYiKCH6KEiSIoCYkGwHoINCyUJIXTBQIBQQqgpJKTt/P7gZ+4iockms9m8no/HPh7szHcm75ld8snuZ0pckk4Xlap3i3p65a5OcnLiDygAAAAAACrDydNFio5L0vHTRerQ0FdzhnaTizNfSeOv4Z0DAKgRTuUXaURsoo7mFqptgI/mRnaXu4uz2bEAAAAAAHBIZ4pL9eD7ydpz7LQa1fZUbFS4vN25hTP+OpoZAACHd6a4VA+8l6zdR08r0NdDcdHh8vN0NTsWAAAAAAAOyWo19PjHm5S096R8PFwUFx2uAF8Ps2OhmqOZAQBwaFaroYkfpZ79A8rdRfEjw9WwtqfZsQAAAAAAcFgzvvlNX24+LFdni965r7vaBPiYHQkOgGYGAMChvfjVDn29JfPsH1DDuysk0NfsSAAAAAAAOKyF6/bpndV7JEkvD+6kPq38TU4ER0EzAwDgsN79eY9if02XJL16V2f1ackfUAAAAAAAVJbvdhzRPz/bKkmaOKCN7uze2OREcCQ0MwAADumLTYf04lc7JElTBoXoti6NTE4EAAAAAIDj2nIgW48u3iirId0d1liP3dDK7EhwMDQzAAAOZ92e4/rHR5skSVF9munBa1uYnAgAAAAAAMd14GS+RiYkqaC4VNe09tdLd3SUxWIxOxYcDM0MAIBD2XUkVw++l6yiUqsGdgjQsze35w8oAAAAAAAqSXZBsaLjknQ0t1AhgT56a1g3uTrztTNsj3cVAMBhZGaf0YjYROWcKVFY0zp6fUhXOTvRyAAAAAAAoDIUlpRq9PvJ+j0rT4G+HoqLDpePh6vZseCgaGYAABxCzpliRcUl6nD2GbWo7635w8Pk4epsdiwAAAAAABySYRiavHSL1u05oVruLoqNCleQn6fZseDAaGYAAKq9ohKrHl64Qb9l5sq/lrsSonuojreb2bEAAAAAAHBYs1bt0rKNB+XsZNGbw7qpfUNfsyPBwdHMAABUa1aroSc+2aRf047L281Z8dHhCq7rZXYsAAAAAAAc1odJ+/Xv79MkSdPvCFXfNvVNToSagGYGAKBae2XlTi1PPSRnJ4veuq+7Qhv5mR0JAAAAAACHtXrXUT21bKsk6bEbWume8CYmJ0JNQTMDAFBtvb92r97+cbck6eXBHTkSBAAAAACASrT9UI4eWbhBpVZDd3RtpIkD2pgdCTUIzQwAQLX0zbZM/fPzbZKkiQPa6K6wYJMTAQAAAADguA5nF2hkfJJOF5Wqd4t6mnFnJ1ksFrNjoQahmQEAqHY27DupsR9slGFI9/YI1mM3tDI7EgAAAAAADivnTLGi45KUmXNGrRvU0tzI7nJz4atlVC3ecQCAamXP0Tzdn5CkwhKrbghpoBduC+VIEAAAAAAAKklxqVVjFqXot8xc1fdxV1x0uPw8Xc2OhRqIZgYAoNo4mluoEXGJOplfrE6N/TRnaFe5OFPKAAAAAACoDIZh6KlPt+jn34/J09VZsSPC1biOl9mxUEPxDRAAoFo4XViikfFJyjhRoCZ1vRQbFS4vNxezYwEAAAAA4LD+/X2aPt5wQE4W6c1hXdWxsZ/ZkVCD0cwAANi94lKrxixO0ZaD2arr7aaEkT3kX8vd7FgAAAAAADispRsOaNaqXZKk528L1Q0hASYnQk1HMwMAYNcMw9Azy7bqx51H5eHqpAUjwtTc39vsWAAAAAAAOKw1acf05NLNkqTRfVvovl5NTU4E0MwAANi517/7XR8mZ8jJIv373m7q2qSO2ZEAAAAAAHBYOzNzNXrhBpVYDd3cKUhPDgwxOxIgiWYGAMCOfZi0X7O//V3S2VNaB7TnlFYAAAAAACrLkZwzio5LVO6ZEoU3q6NX7+osJyeL2bEASTQzAAB26oedWXpq2VZJ0pjrW3JKKwAAAAAAleh0YYlGxifpUPYZtfD31rzIMHm4OpsdCyhDMwMAYHc2HzilMYtSVGo1NLhrIz0e0dbsSAAAAAAAOKySUqseXZyibYdyVM/bTfHRPVTH283sWEA5NDMAAHZl//F8jYxPUn5Rqa5u5a+X7+wki4VTWgEAAAAAqAyGYejZz7bph51H5eHqpHdHhKlJPS+zYwHnoJkBALAbJ04XKSouUcfyitQuyFdv39dNbi6UKgAAAAAAKsvbq3frg8T9slikN4Z0VdcmdcyOBFSIb4gAAHahoKhU9yckac+x02pU21Px0eHy8XA1OxYAAABQrf3000+65ZZb1LBhQ1ksFi1fvrzcfMMwNHXqVDVs2FCenp667rrrtG3btnJjdu/erTvuuEP169eXr6+v7r77bh05cqQKtwJAZfks9aBmrtgpSfrnze0V0SHQ5ETA+dHMAACYrtRqaNySjUrZf0q+Hi6Kjw5XgK+H2bEAAACAau/06dPq3Lmz5syZU+H8mTNnatasWZozZ46SkpIUGBioAQMGKDc3t2z5iIgIWSwWff/99/r1119VVFSkW265RVartSo3BYCNrd9zXJM+3ixJGnlVc0Vf1dzkRMCFuZgdAABQsxmGoWlfbNPK7Ufk5uykd0eEq3WAj9mxAAAAAIcwaNAgDRo0qMJ5hmFo9uzZevrppzV48GBJUkJCggICArR48WKNHj1av/76q/bu3auNGzfK19dXkhQXF6e6devq+++/V//+/atsWwDYTlpWnh58f4OKSq26sUOgnr6pndmRgIvizAwAgKnmrt6j99buk8UivXZPF/VoXtfsSAAAAECNkJ6erszMTEVERJRNc3d3V9++fbVmzRpJUmFhoSwWi9zd3cvGeHh4yMnJSb/88st5111YWKicnJxyDwD24WhuoaLiEpVdUKyuTWpr9pAucnaymB0LuCiaGTBNTEyMLBaLxo8fX+H80aNHy2KxaPbs2Ze8ziVLlshisej222+3SUYAlWv5xoOaseI3SdIzN7XXTZ2CTE4EAAAA1ByZmZmSpICAgHLTAwICyub16tVL3t7eevLJJ5Wfn6/Tp09r0qRJslqtOnz48HnXHRMTIz8/v7JHcHBw5W0IgEuWX1Si+xOSdOBkgZrW89K7w8Pk4epsdizgktDMgCmSkpI0b948derUqcL5y5cv1/r169WwYcNLXue+ffv0+OOP65prrrFVTACV6Ne0Y5r0ySZJ0qirm2vU1VybEwAAADCDxVL+iGzDMMqm1a9fXx9//LG++OIL1apVS35+fsrOzla3bt3k7Hz+L0CnTJmi7OzsskdGRkalbgOAiyu1Ghr7Qao2HchWbS9XxUWFq14t94svCNgJmhmocnl5eRo2bJjmz5+vOnXqnDP/4MGDevTRR7Vo0SK5urpe0jpLS0s1bNgwTZs2TS1atLB1ZAA2tuNwjh56f4OKSw3d1ClIT/+Na3MCAAAAVS0wMFDSf8/Q+ENWVla5szUiIiK0e/duZWVl6dixY3r//fd18OBBNW9+/gOS3N3d5evrW+4BwDyGYej5L7bp2x1H5ObipHeHh6lF/VpmxwIuC80MVLkxY8bopptuqvAmYVarVZGRkZo0aZI6dOhwyet8/vnnVb9+fY0aNeqSxnPtTsA8h04VKCouUbmFJerRPpuBhgAAZxJJREFUvK7+dVdnOXFtTgAAAKDKNW/eXIGBgVq1alXZtKKiIq1evVp9+vQ5Z7y/v79q166t77//XllZWbr11lurMi6AK7Dgl3QlrN0nSXrt7i4Ka8b9KlH9uJgdADXLkiVLlJKSoqSkpArnz5gxQy4uLho7duwlr/PXX3/VggULlJqaesnLxMTEaNq0aZc8HoBtZBcUKyouUUdyCtW6QS3Nj+TanAAAAEBlysvLU1paWtnz9PR0paamqm7dumrSpInGjx+v6dOnq3Xr1mrdurWmT58uLy8vDR06tGyZuLg4tWvXTvXr19fatWs1btw4TZgwQW3btjVjkwBcpq+3HNZLX++QJD31txDuV4lqi2YGqkxGRobGjRunlStXysPD45z5GzZs0Ouvv66UlJRzrtd5Prm5ubrvvvs0f/58+fv7X3KWKVOmaOLEiWXPc3JyuBkZUMkKS0r14HvJ2nUkTwG+7oof2UN+Xpd2KTmgJpo4caJeeOEFeXt7l6tZFZk1a1YVpQIAANVNcnKyrr/++rLnf/xdMWLECMXHx+uJJ55QQUGBHnnkEZ08eVI9e/bUypUr5ePjU7bMzp07NWXKFJ04cULNmjXT008/rQkTJlT5tgC4fBv2ndD4D1NlGNLw3k31wDVcnh3Vl8UwDMPsELA/n3/+uQYNGiRXV1d9/vnnFxx7qaeVLl++XHfccUe5G4SVlpbKYrHIyclJM2bM0KRJk+Tk5FRuvpOTk4KDg7V3795z1pmamqquXbuWW6fVapUkOTk5aefOnWrZsuVFs+Xk5JTdxIzreAK2Z7UaGrtko77cfFi13F300ejeat+Q/2uwf2bWh+uvv17Lli1T7dq1y30B8WcWi0Xff/99FSazD9RuAEBFqA/2i9cGqHrpx05r8Fu/6mR+sfq3a6B3IsPkzGWeYWcupz5wZgYqdPvttyszM1MNGjTQ7bffft5xFotFpaWll7TOfv36acuWLeWmRUdHKyQkRE8++aSCgoI0cODAcvMHDhyoyMhIRUdHV7jOkJCQc9b5zDPPKDc3V6+//jpnWwB2IuY/O/Tl5sNycbJo7n3daWQAl+CHH36o8N8AAMDxHTlyRI8//ri+++47ZWVl6c/HoV7q53AANdfxvEJFxyXqZH6xOjX20xv3dqWRgWqPZgYq9MfZDX/+95Xw8fFRaGhouWne3t6qV69e2fR69eqVm+/q6qrAwMBy1+EcPny4GjVqpJiYGHl4eJyzztq1a0vSOdMBmCP2l3TN/zldkvTKXZ10detLvyQcAAAAUBNFRUVp//79evbZZxUUFHTJl2IGAEk6U1yq+99L1t7j+WpU21PvjgiTlxtfA6P6412Mamf//v3lLkUFwH79Z8thvfDVdknSEze21R1dG5ucCKieTp8+rZdffrns6Mw/H2iwZ88ek5IBAIDK8Msvv+jnn39Wly5dzI4CoJqxWg1N+DBVG/efkq+HixJGhquBz7n3rgWqI5oZuCTffffdeb9AiY2N/cvr/fHHHy84v6L7ZFxsmfj4+L+cB4DtJKaf0Lj/v8nYfb2a6OG+F79/DYCK3X///Vq9erUiIyM5OhMAgBogODj4nEtLAcClmP71Dv1na6bcnJ00b3iYWjXwMTsSYDM0M3BR06ZN0/PPP6+wsDC+QAFwSdKycvXAe8kqKrFqQPsATbs1lN8dwBX4z3/+o6+++kpXXXWV2VEAAEAVmD17tiZPnqx33nlHzZo1MzsOgGoi/td0vfvLfy/z3KtFvYssAVQvNDNwUXPnzlV8fLwiIyPNjgKgGsjKOaMRsUnKLihW1ya19cYQbjIGXKk6deqobt26ZscAAACVqE6dOuUOADp9+rRatmwpLy8vubq6lht74sSJqo4HwM6t3JapaV+evczzpIFtdVuXRiYnAmyPZgYuqqioSH369DE7BoBqIPdMsaLiknTwVIGa+3trwYhwebo5mx0LqPZeeOEF/fOf/1RCQoK8vLzMjgMAACrB7NmzzY4AoJpKzTilsUs2yjCke3sE65HruMwzHBPNDFzU/fffr8WLF+vZZ581OwoAO1ZcatUji1K0/XCO/Gu5KSG6h+p6u5kdC6i2unbtWu7ozLS0NAUEBKhZs2bnHJ2ZkpJS1fEAAICNjRgxwuwIAKqh/cfzdX9Cks4UW9W3TX29cBuXeYbjopmBCk2cOLHs31arVfPmzdO3336rTp06nfMFyqxZs6o6HgA7YxiGnly6WT//fkyers5aMCJcTepx9DhwJW6//XazIwAAAJM4Ozvr8OHDatCgQbnpx48fV4MGDVRaWmpSMgD25FR+kaLiE3Usr0jtg3z15rBucnF2MjsWUGloZqBCGzduLPe8S5cukqStW7eWm06nF4AkzVq1S5+mHJSzk0VvDeumzsG1zY4EVHvPPfec2REAAIBJDMOocHphYaHc3Dj7GYB0prhUD763QXuOnlZDPw/FRYerljtf9cKx8Q5HhX744QezIwCoJhat36d/f58mSXrp9lBdH9LgIksA+KuSk5O1Y8cOWSwWtWvXTt27dzc7EgAAsKE33nhD0tkDB999913VqlWrbF5paal++uknhYSEmBUPgJ2wWg1N+mSzEveekI+7i+KieyjA18PsWEClo5mBi8rOzlZpaanq1q1bbvqJEyfk4uIiX19fk5IBMNu324/o2eVnz9ga26+1hvRoYnIiwDEdOHBA9957r3799VfVrl1bknTq1Cn16dNHH3zwgYKDg80NCAAAbOK1116TdPbMjLlz58rZ2blsnpubm5o1a6a5c+eaFQ+AnXhl5U59semQXJwsmhvZXW0DfcyOBFQJLqKGixoyZIiWLFlyzvSPPvpIQ4YMMSERAHuQmnFKj36QIqsh3R3WWBP6tzY7EuCwRo4cqeLiYu3YsUMnTpzQiRMntGPHDhmGoVGjRpkdDwAA2Eh6errS09PVt29fbdq0qex5enq6du7cqW+++UY9e/Y0OyYAEy1av09v/7hbkvTynZ10VSt/kxMBVYdmBi5q/fr1uv7668+Zft1112n9+vUmJAJgtr3HTmtkfJLOFFvVt019vXRHR+6hA1Sin3/+WW+//bbatm1bNq1t27b697//rZ9//tnEZAAAoDJcf/31cnd3P2d6QUGBnn/+eRMSAbAHP/yWVXZ1hPH9W+vv3RubnAioWjQzcFGFhYUqKSk5Z3pxcbEKCgpMSATATMfyCjUiLlEnThcptJGv3hrWTa7OlBOgMjVp0kTFxcXnTC8pKVGjRo1MSAQAACrTtGnTlJeXd870/Px8TZs2zYREAMy29WC2xiw+e3WEv3dvrHH9uDoCah6+fcJFhYeHa968eedMnzt3LjceBWqY/KISjYpP0r7j+Wpcx1OxUeHyduf2S0Blmzlzph577DElJyfLMAxJZ28GPm7cOL366qsmpwMAALZmGEaFZz5v2rTpnPtZAnB8B07mKzo+SflFpbqqVT1N5+oIqKH4BgoX9dJLL6l///7atGmT+vXrJ0n67rvvlJSUpJUrV5qcDkBVKSm16rHFG7XpQLZqe7kqYWQPNfDxMDsWUCNERUUpPz9fPXv2lIvL2T/fSkpK5OLiopEjR2rkyJFlY0+cOGFWTAAAcIXq1Kkji8Uii8WiNm3alPuysrS0VHl5eXrooYdMTAigqmUXFCs6LklHcwvVNsBHb9/XXW4uHJ+OmolmBi7qqquu0tq1a/XKK6/oo48+kqenpzp16qQFCxaodWtOaQNqAsMw9Oxn2/Tdb1lyd3HSghFhalm/ltmxgBpj9uzZZkcAAABVYPbs2TIMQyNHjtS0adPk5+dXNs/NzU3NmjVT7969TUwIoCoVlVj10Psb9HtWngJ83RUXHS5fD1ezYwGmoZmBS9KlSxctWrTogmNefvllPfTQQ6pdu3bVhAJQZd78IU0fJO6XxSK9PqSrujfl1HagKo0YMeKSxr388ss6deoUtRgAgGrqj5rfvHlzXXXVVWVnZJ4Pn8MBx2UYhiYv3ay1e47L281ZsVHhaljb0+xYgKk4Jwk2M336dC5tATigTzYc0Ksrd0mSpt3aQTeGBpqcCMD5UIsBAHAMffv2vWgjQ6L2A47stVW79OnGg3J2sujNYd3UoaHfxRcCHBzNDNjMHzckBeA4ftp1VJOXbpYkje7bQsN7NzM3EIALohYDAFCzUPsBx/RRUobe+D5NkvTi7aG6rm0DkxMB9oFmBgCgQlsPZuvhhRtUYjV0W5eGenJgiNmRAAAAAABwaD/tOqqnlm2RJI25vqXu7dHE5ESA/aCZAQA4R8aJfEXHJ+l0Ual6t6inmX/vJCcni9mxAAAAAABwWNsP5eiRRSllBxU+HtHW7EiAXaGZAQAo51R+kaLiEnU0t1AhgT56Z3h3ubs4mx0LgIneeustNW/eXB4eHurevbt+/vnnC45fvXq1unfvLg8PD7Vo0UJz5849Z8zSpUvVvn17ubu7q3379lq2bFllxQcAAADs3uHsAo2MT1JeYYl6Nq+rmX/vJIuFgwqB/0UzAwBQ5kxxqR54L1m7j55WkJ+H4qLD5evhanYsACb68MMPNX78eD399NPauHGjrrnmGg0aNEj79++vcHx6err+9re/6ZprrtHGjRv11FNPaezYsVq6dGnZmLVr1+qee+5RZGSkNm3apMjISN19991av359VW0WAAAAYDdyzxQrOi5JmTln1KpBLc2LDOOgQqACNDNgM9dcc408PT3NjgHgL7JaDf3jo01K2ntSPh4uio/uoSA//k8D1Ull1OJZs2Zp1KhRuv/++9WuXTvNnj1bwcHBevvttyscP3fuXDVp0kSzZ89Wu3btdP/992vkyJF69dVXy8bMnj1bAwYM0JQpUxQSEqIpU6aoX79+mj17tk2zAwDg6PgcDlR/xaVWPbIoRb9l5sq/lrviosLl58VBhUBFXMwOAPv39ddfy9nZWQMHDiw3/ZtvvpHVatWgQYPKxgGovl5e8Zu+2nJYrs4WvRPZXW0DfcyOBOD/mVWLi4qKtGHDBk2ePLnc9IiICK1Zs6bCZdauXauIiIhy0wYOHKgFCxaouLhYrq6uWrt2rSZMmHDOmOrSzDAMQwXFpWbHAAC75enqzKVRrhCfw4GawTAMPb1si37+/Zg8XZ0VGxWm4LpeZscC7BbNDFzU5MmT9fLLL58z3TAMTZ48ueyPKADVV8KavZr30x5J0it/76w+Lf1NTgTgf5lVi48dO6bS0lIFBASUmx4QEKDMzMwKl8nMzKxwfElJiY4dO6agoKDzjjnfOiWpsLBQhYWFZc9zcnIud3NspqC4VO3/+Y1pPx8A7N325wfKy42vG64En8OBmmHO92n6KPmAnCzSv+/tqk6Na5sdCbBrXGYKF/X777+rffv250wPCQlRWlqaCYkA2NLKbZma9sU2SdKkgW11e9dGJicC8Gdm1+I/H11rGMYFj7itaPyfp1/uOmNiYuTn51f2CA4OvuT8AABUN2bXfgCVb9nGA/rXql2SpGm3dlD/9gEXWQIAh0rgovz8/LRnzx41a9as3PS0tDR5e3ubEwqATaRmnNLYJRtlNaR7ewTrketamh0JQAXMqsX+/v5ydnY+54yJrKysc86s+ENgYGCF411cXFSvXr0LjjnfOiVpypQpmjhxYtnznJwc0xoanq7O2v78wIsPBIAaytOVm9ZeKT6HA45tTdoxPfHJZknSg9e2UGTvZuYGAqoJmhm4qFtvvVXjx4/XsmXL1LLl2S8609LS9I9//EO33nqryekA/FX7j+fr/oQknSm2qm+b+nrhtlCubQzYKbNqsZubm7p3765Vq1bpjjvuKJu+atUq3XbbbRUu07t3b33xxRflpq1cuVJhYWFydXUtG7Nq1apy981YuXKl+vTpc94s7u7ucnd3v5LNsRmLxcLlUwAAlYrP4YDj2pmZq9ELN6i41NBNHYM0+cYQsyMB1QaXmcJFvfLKK/L29lZISIiaN2+u5s2bq127dqpXr55effVVs+MB+AtOni5SVHyijuUVqX2Qr94c1k0uzpQEwF6ZWYsnTpyod999V7GxsdqxY4cmTJig/fv366GHHpJ09oyJ4cOHl41/6KGHtG/fPk2cOFE7duxQbGysFixYoMcff7xszLhx47Ry5UrNmDFDv/32m2bMmKFvv/1W48ePr9RtAQCguuBzOOCYDmcXKCouUblnShTWtI7+dXdnOTlxUCFwqTikDBfl5+enX3/9Vd9++602bdokT09PderUSddee63Z0QD8BWeKS/Xg+8nac/S0Gvp5KC46XLXcKQeAPTOzFt9zzz06fvy4nn/+eR0+fFihoaH6+uuv1bRpU0nS4cOHtX///rLxzZs319dff60JEybozTffVMOGDfXGG2/ozjvvLBvTp08fLVmyRM8884yeffZZtWzZUh9++KF69uxZ6dsDAEB1wOdwwPFkFxQrKjZJh7PPqEV9b80fHiYPLssHXBaL8ccdGYEKlJSUyMPDQ6mpqQoNDTU7TqXJycmRn5+fsrOz5evra3YcoNJYrYYeW7JRX20+LB8PFy19uI/aBPiYHQuwW/ZQH2pKLb5c9vDaAADsjyPUB0et/Y7w2gB/VWFJqUbEJmrdnhOq7+OuTx/uo+C6XmbHAuzC5dQHrimCC3JxcVHTpk1VWlpqdhQANjBjxW/6avNhuTpb9M593WlkANUAtRgAgJqF2g84FqvV0OMfb9a6PSfk7eas+OhwGhnAX0QzAxf1zDPPaMqUKTpx4oTZUQBcgffW7tU7P+2RJM38eyf1aeVvciIAl4paDABAzULtBxxHzH926ItNh+TiZNHcyO7q0NDP7EhAtcVF0nFRb7zxhtLS0tSwYUM1bdpU3t7e5eanpKSYlAzApVq1/Yimfr5NkvR4RBvd0bWxyYkAXA5qMQAANQu1H3AMsb+ka/7P6ZLOHlR4Tev6JicCqjeaGbio22+/3ewIAK7ApoxTeuyDFFkNaUh4sMZc38rsSAAuE7UYAICahdoPVH9fbT6sF77aLkmaNLCtBnfjoELgSnEDcEDciAyOa//xfA1++1cdyytS3zb19e6IMLk6c4VB4FJRH+wXrw0AoCLUB/vFa4OaZP2e44pckKiiUqsiezXV87d1kMViMTsWYJe4ATgAQKfyixQVn6hjeUVqH+SrN4d1o5EBAAAAAEAl2nUkVw+8l6yiUqsi2gdo6q00MgBb4TJTuCgnJ6cL/tItLS2twjQALsWZ4lI98F6y9hw9rYZ+HoqLDlctd37lA9UVtRgAgJqF2g9UT5nZZzQiNlE5Z0rUvWkdvXFvVzk70cgAbIVvtnBRy5YtK/e8uLhYGzduVEJCgqZNm2ZSKgDnY7UaevzjTUrae1I+7i6Ki+6hAF8Ps2MBuALUYgAAahZqP1D95JwpVlRcog5nn1GL+t56d3iYPFydzY4FOBTumYG/bPHixfrwww/12WefmR3linHtTjiSmP/s0Dur98jV2aKE6B7q08rf7EhAtWXv9cGRavHlsvfXBgBgDkevD9W59jv6a4OarbCkVFGxSVq757j8a7lr2SN9FFzXy+xYQLXAPTNQJXr27Klvv/3W7BgA/sf7a/fqndV7JEkz7uxEIwNwcNRiAABqFmo/YH+sVkOTPt6stXuOy9vNWfHR4TQygEpCMwN/SUFBgf7973+rcePGZkcB8P++3X5Ez32+TZL0jwFtNLgb/z8BR0YtBgCgZqH2A/Zpxorf9PmmQ3Jxsujt+7ortJGf2ZEAh0UzAxdVp04d1a1bt+xRp04d+fj4KDY2Vq+88spfXm9MTIwsFovGjx9f4fzRo0fLYrFo9uzZF1zP/Pnzdc0116hOnTqqU6eO+vfvr8TExL+cC6iONmWc0mMfbJTVkO4JC9ajN7QyOxIAG6qsWgwAAOwTtR+oHuJ+Tdc7P/336gjXtqlvciLAsXEDcFzUn5sJTk5Oql+/vnr27Kk6der8pXUmJSVp3rx56tSpU4Xzly9frvXr16thw4YXXdePP/6oe++9V3369JGHh4dmzpypiIgIbdu2TY0aNfpL+YDqJONEvkYlJKmguFTXtqmvF+8IlcViMTsWABuqjFoMAADsF7UfsH//2XJYz3+5XZI0aWBb3dmds6aAykYzAxc1YsQIm64vLy9Pw4YN0/z58/Xiiy+eM//gwYN69NFH9c033+imm2666PoWLVpU7vn8+fP1ySef6LvvvtPw4cNtlhuwR6fyizQiLlHH8orUPshXbw3rJldnTroDHI2tazEAALBv1H7AviWmn9C4D1NlGNKwnk30yHUtzY4E1Ag0M3BJTp06pQULFmjHjh2yWCxq3769Ro4cKT+/y78O4JgxY3TTTTepf//+5zQzrFarIiMjNWnSJHXo0OEvZc3Pz1dxcbHq1q173jGFhYUqLCwse56Tk/OXfhZgpjPFpXrgvWTtOXpaDf08FBcdrlru/FoHHJUtazEAALB/1H7APv1+JFf3JySpqMSqAe0D9PxtXB0BqCocvouLSk5OVsuWLfXaa6/pxIkTOnbsmGbNmqWWLVsqJSXlsta1ZMkSpaSkKCYmpsL5M2bMkIuLi8aOHfuX806ePFmNGjVS//79zzsmJiZGfn5+ZY/g4OC//PMAM1ithh7/eJOS9p6Uj7uL4qJ7KMDXw+xYACqJLWsxAACwf9R+wD4dyTmjqLgk5ZwpUdcmtfXGkK5ydqKRAVQVDuHFRU2YMEG33nqr5s+fLxeXs2+ZkpIS3X///Ro/frx++umnS1pPRkaGxo0bp5UrV8rD49wvXTds2KDXX39dKSkpf7mjPXPmTH3wwQf68ccfK/wZf5gyZYomTpxY9jwnJ4eGBqqVmd/s1JebD8vFyaK5kd3VNtDH7EgAKpGtajEAAKgeqP2A/ck5U6wRsYk6eKpAzf29tWBEuDzdnM2OBdQoFsMwDLNDwL55enpq48aNCgkJKTd9+/btCgsLU35+/iWtZ/ny5brjjjvk7PzfX/SlpaWyWCxycnLSjBkzNGnSJDk5OZWb7+TkpODgYO3du/eC63/11Vf14osv6ttvv1VYWNilb6DONjP8/PyUnZ0tX1/fy1oWqGrvr9unZ5dvlST9667O3GQMqET2Uh9sVYsdib28NgAA++Io9cERa7+jvDaomYpKrIqOT9SvacflX8tdnz7cR03qeZkdC3AIl1MfODMDF+Xr66v9+/ef80dURkaGfHwu/Wjwfv36acuWLeWmRUdHKyQkRE8++aSCgoI0cODAcvMHDhyoyMhIRUdHX3Ddr7zyil588UV98803l93IAKqT73Yc0XOfnW1kTBzQhkYGUEPYqhYDAIDqgdoP2A+r1dATn2zSr2nH5eXmrLiocBoZgEloZuCi7rnnHo0aNUqvvvqq+vTpI4vFol9++UWTJk3Svffee8nr8fHxUWhoaLlp3t7eqlevXtn0evXqlZvv6uqqwMBAtW3btmza8OHD1ahRo7L7bsycOVPPPvusFi9erGbNmikzM1OSVKtWLdWqVesvbTNgjzYfOKVHF2+U1ZDuDmusx25oZXYkAFXEVrUYAABUD9R+wH7M/GanlqcekouTRW8N66aOjf3MjgTUWDQzUKHNmzcrNDRUTk5OevXVV2WxWDR8+HCVlJRIOttkePjhh/Xyyy9Xebb9+/eXuxTVW2+9paKiIv39738vN+65557T1KlTqzgdUDkyTuRrZHySCopLdU1rf710R8e/fG8ZANWDPddiAABge9R+wP4krNmruat3S5JiBnfUdW0bmJwIqNm4ZwYq5OzsrMOHD6tBgwZq0aKFkpKS5OnpqbS0NElSq1at5OXlOKfUce1O2LNT+UW68+012n30tNoF+eqj0b3k4+FqdiygRjCzPtS0Wny5qN0AgIpU5/rg6LW/Or82qJlWbD2shxelyDCkfwxoo8f6tTY7EuCQuGcGrljt2rWVnp6uBg0aaO/evbJarfLy8lKnTp3MjgbUKIUlpXrw/Q3affS0gvw8FBcVTiMDqCGoxQAA1CzUfsB+JO09obFLUmUY0tCeTfQol3kG7ALNDFTozjvvVN++fRUUFCSLxaKwsDA5OztXOHbPnj1VnA6oGaxWQ49/vFmJ6Sfk4+6iuOhwBfp5mB0LQBWhFgMAULNQ+wH7kJaVq/sTklVUYlX/dg30/K0duMwzYCdoZqBC8+bN0+DBg5WWlqaxY8fqgQcekI+Pj9mxgBpl5jc79cWmszcZmxvZXSGBnIoN1CTUYgAAahZqP2C+IzlnNCI2SdkFxeoSXFv/vrebXJydLr4ggCpBMwPndeONN0qSNmzYoHHjxvFHFFCFFq7bV3aTsZfv7KSrWvmbnAiAGajFAADULNR+wDy5Z4oVFZekg6cK1NzfW7FR4fJ0q/jsKADmoJmBi4qLizM7AlCjfLfjiP752VZJ0oT+bfT37o1NTgTAbNRiAABqFmo/ULWKSqx6eGGKdhzOkX8tNyVE91BdbzezYwH4E86TAgA7svnAKT26eKOshnRX98Ya24+bjAEAAAAAUFkMw9CTSzfrl7Rj8nJzVmxUuJrU8zI7FoAK0MwAADuRcSJfI+OTVVBcqmta+2v64I7cZAwAAAAAgEo085udWrbxoJydLHpzWDd1alzb7EgAzoNmBgDYgez8YkXFJepYXqFCAn301rBucuUmYwAAAAAAVJr31u7V2z+evV9lzOCOur5tA5MTAbgQvikDAJMVlpTqgfeTtfvoaQX5eSg+uod8PFzNjgUAAAAAgMNasTVTz32+TZI0cUAb3R0WbHIiABdDMwMATGS1Gnr8481KTD8hH3cXxUWHK9DPw+xYAAAAAAA4rA37Tmjcko0yDOneHsF67AbuVwlUBzQzAMBEr6zcqS82HZKLk0Vv39ddIYG+ZkcCAAAAAMBhpWXlaVRCsgpLrOoX0kAv3BbK/SqBaoJmBgCYZOG6fWXX5nz5zk66urW/yYkAAAAAAHBcWTlnNCI2Uafyi9U5uLb+PbSrXLhfJVBt8L8VAEzw3Y4j+udnWyVJE/q30d+7NzY5EQAAAAAAjiuvsETR8Uk6eKpAzep5KXZEmLzcXMyOBeAy0MwAgCq25UC2Hl28UVZD+nv3xhrbj2tzAgAAAABQWYpKrHp44QZtO5Sjet5uShjZQ/VquZsdC8BlopkBAFUo40S+RiYkqaC4VNe09lfM4I5cmxMAAAAAgEpiGIYmf7pZP/9+TJ6uzoqNClfTet5mxwLwF9DMAIAqkp1frOj4JB3NLVRIoI/eGtZNrlybEwAAAACASvPqyp36NOWgnJ0semtYN3UOrm12JAB/Ed+iAUAVKCwp1YPvJystK0+Bvh6Kiw6Xj4er2bEAAAAAAHBY76/bpzd/2C1Jirmjo64PaWByIgBXgmYGAFQyq9XQpI83a336CdVyd1FcdLiC/DzNjgUAAAAAgMNauS1Tz322VZI0vn9r3R0ebHIiAFeKZgYAVLJXV+7U55sOycXJorfv66Z2Qb5mRwIAAAAAwGFt2HdSj32wUVZDGhIerHH9WpsdCYAN0MwAgEq0aP0+vfXj/5/SOrijrmld3+REAAAAAAA4rt1H8zQqIUmFJVbdENJAL94eKovFYnYsADZAMwMAKskPv2Xp2eX/PaX1rjBOaQUAAAAAoLJk5Z7RiNhEncovVufGfpoztKtcnPn6E3AU/G8GgEqw5UC2xixOkdWQ/t69Mae0AgAAAABQifIKSzQyPkkHThaoaT0vLYgKl5ebi9mxANgQzQwAsLGME/kamZCk/KJSXdPaXzGDO3JKKwAAAAAAlaS41KpHFqVo68Ec1fN2U0J0D/nXcjc7FgAbo5kBADaUnV+s6PgkHc0tVEigj94a1k2unNIKAAAAAEClMAxDk5du0U+7jsrT1VkLosLVzN/b7FgAKgHfsAGAjRSWlGr0wmSlZeUp0NdDcdHh8vFwNTsWAAAAAAAO618rd2lpygE5O1n05rCu6hJc2+xIACoJzQwAsAHDMPTEJ5u1bs8J1XJ3UWxUuIL8PM2OBQAAAACAw1q0fp/m/JAmSXrp9lDdEBJgciIAlYlmBgDYwKsrd+qz1ENycbLorWHd1L6hr9mRAAAAAABwWKu2H9Gzy7dKksb1a60hPZqYnAhAZaOZAQBXaPH6/Xrzh92SpOmDO+raNvVNTgQAAAAAgONK2X9Sj32QIqsh3RMWrPH9W5sdCUAVoJkBAFfgh9+y9Oxn/z0S5O6wYJMTAQAAAMB//fTTT7rlllvUsGFDWSwWLV++vNx8wzA0depUNWzYUJ6enrruuuu0bdu2cmMyMzMVGRmpwMBAeXt7q1u3bvrkk0+qcCuA/9pzNE+j4pN0ptiq69vW14t3hMpisZgdC0AVoJkBAH/R1oPZGrM4RaVWQ3d2a8yRIAAAAADszunTp9W5c2fNmTOnwvkzZ87UrFmzNGfOHCUlJSkwMFADBgxQbm5u2ZjIyEjt3LlTn3/+ubZs2aLBgwfrnnvu0caNG6tqMwBJ0tHcQo2IS9TJ/GJ1auynOUO7ydWZrzeBmoL/7QDwFxw4ma/o+CTlF5Xq6lb+ihnckSNBAAAAANidQYMG6cUXX9TgwYPPmWcYhmbPnq2nn35agwcPVmhoqBISEpSfn6/FixeXjVu7dq0ee+wx9ejRQy1atNAzzzyj2rVrKyUlpSo3BTXc6cISjYxPUsaJAjWp66XYqHB5u7uYHQtAFaKZAQCXKTu/WFFxSTqaW6iQQB+9dV83ubnw6xQAAABA9ZKenq7MzExFRESUTXN3d1ffvn21Zs2asmlXX321PvzwQ504cUJWq1VLlixRYWGhrrvuOhNSoyYqLrXqkUUp2nIwW3W93ZQwsof8a7mbHQtAFaN9CQCXobCkVKMXJistK0+Bvh6Kiw6Xr4er2bEAAAAA4LJlZmZKkgICAspNDwgI0L59+8qef/jhh7rnnntUr149ubi4yMvLS8uWLVPLli3Pu+7CwkIVFhaWPc/JybFxetQUhmFoyqdbtHrXUXm4OmnBiDA19/c2OxYAE3AoMQBcIsMw9OQnm7VuzwnVcndRbFS4gvw8zY4FAAAAAFfkz5fMNQyj3LRnnnlGJ0+e1Lfffqvk5GRNnDhRd911l7Zs2XLedcbExMjPz6/sERwcXGn54dheW7VLn2w4ICeL9ObQburapI7ZkQCYhGYGAFyif63cpeWph+TsZNFbw7qpfUNfsyMBAAAAwF8WGBgo6b9naPwhKyur7GyN3bt3a86cOYqNjVW/fv3UuXNnPffccwoLC9Obb7553nVPmTJF2dnZZY+MjIzK2xA4rMXr9+uN79MkSS/d0VH92gVcZAkAjoxmBgBcgg8S92vOD2f/gIq5o6OubVPf5EQAAAAAcGWaN2+uwMBArVq1qmxaUVGRVq9erT59+kiS8vPzJUlOTuW/QnJ2dpbVaj3vut3d3eXr61vuAVyOb7cf0TPLz579M/aGVrq3RxOTEwEwG/fMAICL+GFnlp5ZvlWSNLZfa90dzunRAAAAAKqHvLw8paWllT1PT09Xamqq6tatqyZNmmj8+PGaPn26WrdurdatW2v69Ony8vLS0KFDJUkhISFq1aqVRo8erVdffVX16tXT8uXLtWrVKn355ZdmbRYc3Mb9J/XoBymyGtJd3RtrwoA2ZkcCYAdoZgDABWw9mK0xi1JUajU0uFsjTejf2uxIAAAAAHDJkpOTdf3115c9nzhxoiRpxIgRio+P1xNPPKGCggI98sgjOnnypHr27KmVK1fKx8dHkuTq6qqvv/5akydP1i233KK8vDy1atVKCQkJ+tvf/mbKNsGxpR87rVEJyTpTbFXfNvU1fXDHc+7rAqBmshiGYZgdAjBbTk6O/Pz8lJ2dzamvKHPgZL7ueGuNjuYW6qpW9RQX1UNuLlydD6hJqA/2i9cGAFAR6oP94rXBpTiaW6g7316j/Sfy1bGRn5Y82Eve7hyLDTiyy6kPfCsHABXILihWdFySjuYWqm2Aj96+rzuNDAAAAAAAKsnpwhKNSkjS/hP5alLXS7FR4TQyAJTDN3MA8CeFJaUa/X6yfs/KU4Cvu+Kiw+Xr4Wp2LAAAAAAAHFJxqVVjFqdo84Fs1fFyVXx0uOr7uJsdC4CdoZkB08TExMhisWj8+PEVzh89erQsFotmz5590XUtXbpU7du3l7u7u9q3b69ly5bZNixqDMMw9OQnm7VuzwnVcndRXFQPNaztaXYsADDFyZMnFRkZKT8/P/n5+SkyMlKnTp264DKGYWjq1Klq2LChPD09dd1112nbtm1l80+cOKHHHntMbdu2lZeXl5o0aaKxY8cqOzu7krcGAAAA9sgwDD29bIt+3HlUHq5OWhAVrhb1a5kdC4AdopkBUyQlJWnevHnq1KlThfOXL1+u9evXq2HDhhdd19q1a3XPPfcoMjJSmzZtUmRkpO6++26tX7/e1rFRA/xr5S4tTz0kZyeL3hzWTe0bci1XADXX0KFDlZqaqhUrVmjFihVKTU1VZGTkBZeZOXOmZs2apTlz5igpKUmBgYEaMGCAcnNzJUmHDh3SoUOH9Oqrr2rLli2Kj4/XihUrNGrUqKrYJAAAANiZ2d/+ro+SD8jJIs25t5u6NaljdiQAdopmBqpcXl6ehg0bpvnz56tOnXML1MGDB/Xoo49q0aJFcnW9+KV9Zs+erQEDBmjKlCkKCQnRlClT1K9fv0s6owP4Xx8k7tecH9IkSdPvCFXfNvVNTgQA5tmxY4dWrFihd999V71791bv3r01f/58ffnll9q5c2eFyxiGodmzZ+vpp5/W4MGDFRoaqoSEBOXn52vx4sWSpNDQUC1dulS33HKLWrZsqRtuuEEvvfSSvvjiC5WUlFTlJgIAAMBkHyTu1+vf/S5JeuH2UPVvH2ByIgD2jGYGqtyYMWN00003qX///ufMs1qtioyM1KRJk9ShQ4dLWt/atWsVERFRbtrAgQO1Zs2a8y5TWFionJyccg/UbD/uzNIzy7dKksbe0Er3hDcxOREAmGvt2rXy8/NTz549y6b16tVLfn5+562x6enpyszMLFeX3d3d1bdv3wvW5ezsbPn6+srFhRs8AgAA1BTf/3ak7HP4Yze00rCeTU1OBMDe8YkRVWrJkiVKSUlRUlJShfNnzJghFxcXjR079pLXmZmZqYCA8p37gIAAZWZmnneZmJgYTZs27ZJ/Bhzb1oPZGrMoRaVWQ4O7NtKEAW3MjgQApsvMzFSDBg3Omd6gQYPz1tg/pldUl/ft21fhMsePH9cLL7yg0aNHXzBPYWGhCgsLy55zIAIAAED1lZpxSmMWbVSp1dDfuzfWRD6HA7gEnJmBKpORkaFx48Zp4cKF8vDwOGf+hg0b9Prrrys+Pl4Wi+Wy1v3n8YZhXHAdU6ZMUXZ2dtkjIyPjsn4eHMfBUwUaGZ+k00Wl6tOynl6+s9Nlv/8AoDqZOnWqLBbLBR/JycmSzq2v0sVrbEXLnW+ZnJwc3XTTTWrfvr2ee+65C64zJiam7Ebkfn5+Cg4OvtimAgAAwA7tPXZaI+OTVFBcqmvb1FfM4I58DgdwSTgzA1Vmw4YNysrKUvfu3cumlZaW6qefftKcOXM0Y8YMZWVlqUmTJuXm/+Mf/9Ds2bO1d+/eCtcbGBh4zhGiWVlZ5xwV+r/c3d3l7u5+ZRuEai+7oFjRcYnKyi1U2wAfzY3sLjcXerwAHNujjz6qIUOGXHBMs2bNtHnzZh05cuSceUePHj1vjQ0MDJR09gyNoKCgsukV1eXc3FzdeOONqlWrlpYtW3bR+2RNmTJFEydOLHuek5NDQwMAAKCaOZZXqBFxiTpxukihjXz19rBucnXmcziAS0MzA1WmX79+2rJlS7lp0dHRCgkJ0ZNPPqmgoCANHDiw3PyBAwcqMjJS0dHR511v7969tWrVKk2YMKFs2sqVK9WnTx/bbgAcSlGJVQ+9v0G7juQpwNddcdHh8vW4+A3nAaC68/f3l7+//0XH9e7dW9nZ2UpMTFSPHj0kSevXr1d2dvZ5a2zz5s0VGBioVatWqWvXrpKkoqIirV69WjNmzCgbl5OTo4EDB8rd3V2ff/55hWds/hkHIgAAAFRv+UUlGhWfpH3H89W4jqdio8Ll7c5XkwAuHb8xUGV8fHwUGhpabpq3t7fq1atXNr1evXrl5ru6uiowMFBt27YtmzZ8+HA1atRIMTExkqRx48bp2muv1YwZM3Tbbbfps88+07fffqtffvmlkrcI1ZVhGHpy6Wat3XNc3m7Oio0KV8PanmbHAgC70q5dO91444164IEH9M4770iSHnzwQd18883l6nJISIhiYmJ0xx13yGKxaPz48Zo+fbpat26t1q1ba/r06fLy8tLQoUMlnT0jIyIiQvn5+Vq4cKFycnLK7n9Rv359OTs7V/3GAgAAoFKVlFo1ZlGKNh3IVh0vVyWM7KEGPhc/oAUA/hfNDFQ7+/fvl5PTf09B7NOnj5YsWaJnnnlGzz77rFq2bKkPP/xQPXv2NDEl7NmsVbu0bONBOTtZ9NZ93dWhoZ/ZkQDALi1atEhjx45VRESEJOnWW2/VnDlzyo3ZuXOnsrOzy54/8cQTKigo0COPPKKTJ0+qZ8+eWrlypXx8fCSdvezk+vXrJUmtWrUqt6709HQ1a9asErcIAAAAVc0wDD2zfKt+2HlU7i5OendEuFrWr2V2LADVkMUwDMPsEIDZcnJy5Ofnp+zsbPn6+podB5VoSeJ+Tf707OXOZtzZUfeEN7nIEgBqMuqD/eK1AQBUhPpgv3htaq7Z3+7S7G9/l5NFmntfd0V0CDQ7EgA7cjn1gTvsAKgxftyZpaeXb5UkPXZDKxoZAAAAAABUog+T9mv2t79Lkp6/LZRGBoArQjMDQI2w7VC2xixKUanV0OCujTRxQBuzIwEAAAAA4LB++C1LTy07e0DhmOtb6r5eTU1OBKC6o5kBwOEdPFWg6LgknS4qVe8W9fTynZ1ksVjMjgUAAAAAgEPalHFKj/xxQGG3Rno8oq3ZkQA4AJoZABxadkGxouMSlZVbqDYBtTQ3srvcXPjVBwAAAABAZdh3/LRGxiepoLhU17T21wwOKARgI3yjB8BhFZVY9fDCDdp1JE8NfNwVF91Dfp6uZscCAAAAAMAhHc8r1IjYRB0/XaQODX319n3d5erM148AbIPfJgAckmEYmrx0s9bsPi5vN2fFRoWrUW1Ps2MBAAAAAOCQ8otKNDIhWXuP56txHU/FRYerlruL2bEAOBCaGQAc0murdunTjQfl7GTRm8O6KbSRn9mRAAAAAABwSCWlVj22eKM2ZZxSbS9XJYzsoQY+HmbHAuBgaGYAcDgfJu3XG9+nSZJeuj1U17VtYHIiAAAAAAAck2EYevazrfrutyy5uzhpwYgwtaxfy+xYABwQzQwADmX1rqN6atlWSdJjN7TSkB5NTE4EAAAAAIDj+vf3afogMUNOFumNe7uqe9O6ZkcC4KBoZgBwGNsOZeuRhRtUajU0uGsjTRzQxuxIAAAAAAA4rI+SMzRr1S5J0rRbO2hgh0CTEwFwZDQzADiEw9kFGhmfpNNFperdop5evrOTLBaL2bEAAAAAAHBIP+zM0pRPt0iSHrmupSJ7NzM3EACHRzMDQLWXe6ZY0XFJOpJTqNYNamluZHe5ufDrDQAAAACAyrD5wCmNWZRSdmWESQPbmh0JQA3At30AqrWSUqseXbxRv2Xmyr+Wu+Kiw+Xn6Wp2LAAAAAAAHNL+4/kaGZ+k/KJSXdPanysjAKgyNDMAVFuGYejZz7Zp9a6j8nB10oIRYWpcx8vsWAAAAAAAOKTjeYUaEZeoY3lFah/kq7fv48oIAKoOv20AVFvv/LRHHyTul8UivTGkqzoH1zY7EgAAAAAADim/qESjEpKVfuy0GtX2VHx0uGq5u5gdC0ANQjMDQLX01ebDevk/v0mSnr2pvSI6BJqcCAAAAAAAx1RcatWYRSlKzTglP09XJYwMVwNfD7NjAahhaGYAqHY27DupCR+lSpKi+jTTyKubmxsIAAAAAAAHZRiGJi/doh92nr3Ec2xUuFo18DE7FoAaiGYGgGpl3/HTeuC9ZBWVWNW/XQM9e3N7syMBAAAAAOCwZqzYqaUpB+TsZNFbw7qpe9M6ZkcCUEPRzABQbZzKL1J0XJJOnC5SaCNfvT6kq5ydLGbHAgAAAADAIb378x7NXb1bkvTy4I66ISTA5EQAajKaGQCqhcKSUj343gbtOXZaDf08FDsiXN7caAwAAAAAgErxWepBvfjVDknSEze21V1hwSYnAlDT0cwAYPcMw9ATn2xW4t4T8nF3UWw0NxoDAAAAAKCy/LTrqB7/eJMkKfqqZnq4b0uTEwEAzQwA1cBrq3bps9RDcnGy6K37uikk0NfsSAAAAAAAOKTNB07poYUbVFxq6JbODfXsTe1lsXCJZwDmo5kBwK59nJyhN75PkyS9dEeormld3+REAAAAAAA4pvRjpxUdl6T8olJd3cpfr97VSU7cqxKAnaCZAcBu/Zp2TFM+3SJJeuS6lronvInJiQAAAAAAcExZuWc0PHa9jp8uUmgjX82N7C53F2ezYwFAGZoZAOzS70dy9dDCDSqxGrq5U5Aej2hrdiQAAAAAABxSzplijYhNUsaJAjWt56W4qB6q5e5idiwAKIdmBgC7k5V7RlFxSco9U6KwpnX06l2dOa0VAAAAAIBKUFhSqgffS9aOwznyr+Wm90b2UH0fd7NjAcA5aGYAsCsFRaV6ICFZB08VqFk9L80bHiYPV05rBQAAAADA1kqthiZ8mKp1e06olruL4qN7qGk9b7NjAUCFaGYAsBulVkPjlmzUpgPZquPlqrjoHqrr7WZ2LAAAAAAAHI5hGJr2xTZ9vSVTrs4WzYvsrtBGfmbHAoDzopkBwG5M/3qHVm4/IjdnJ80bHqbm/hwNAgAAAABAZXjzhzS9t3afLBbptXu6qE8rf7MjAcAF0cwAYBcS1uzVgl/SJUmv3t1Z4c3qmpwIAAAAAADHtCRxv15duUuS9NzN7XVzp4YmJwKAi6OZAcB03+04omlfbJMkTRrYVrd25o8oAAAAAAAqw6rtR/TUsi2SpDHXt1TUVc1NTgQAl4ZmBgBTbT2YrUcXb5TVkO4JC9Yj17U0OxIAAAAAAA4pee8JPbo4RVZDujussR6PaGt2JAC4ZDQzAJjm0KkCjYxPUkFxqa5p7a8X7wiVxWIxOxYAAAAAAA5n15FcjYxPUmGJVf1CGmj6HR35DA6gWqGZAcAUuWeKNTI+SVm5hWob4KM3h3WTqzO/kgAAAAAAsLWDpwo0fEGics6UqFuT2poztJtc+AwOoJrhtxaAKldcatUji1L0W2au6vu4KzY6XL4ermbHAgAAAADA4Zw8XaQRsYnKzDmjVg1qKTYqXJ5uzmbHAoDLRjMDQJUyDEPPLt+qn38/Jk9XZ8WOCFej2p5mxwIAAAAAwOEUFJVqZEKS0rLyFOTnofdG9lBtLzezYwHAX0IzA0CVenv1bi1JypCTRfr3vV3VsbGf2ZEAAAAAAHA4xaVWjVmcoo37T8nP01UJI3uoIQcTAqjGaGYAqDJfbDqkmSt2SpL+eXN79W8fYHIiAAAAAAAcj2EYeurTLfr+tyy5uzgpNipMbQJ8zI4FAFeEZgaAKpG894T+8fEmSVL0Vc0UdVVzkxMBAAAAAOCYXvlmpz7ecEDOTha9ObSbujeta3YkALhiNDMAVLq9x07rgfeSVVRi1YD2AXrmpvZmRwIAAAAAwCHF/Zqut37cLUmafkcoV0UA4DBoZgCoVCdPFyk6Pkkn84vVqbGfXh/SRc5OFrNjAQAAAADgcD7fdEjPf7ldkjRpYFvdE97E5EQAYDs0M2CamJgYWSwWjR8/vmza1KlTFRISIm9vb9WpU0f9+/fX+vXrL7qu2bNnq23btvL09FRwcLAmTJigM2fOVGJ6XIozxaV68P1kpR87rUa1PfXuiDB5ubmYHQsAAAAAAIfzy+/H9I+PUmUY0ojeTfXIdS3NjgQANsW3ijBFUlKS5s2bp06dOpWb3qZNG82ZM0ctWrRQQUGBXnvtNUVERCgtLU3169evcF2LFi3S5MmTFRsbqz59+mjXrl2KioqSJL322muVvSk4D6vV0BOfbFbS3pPy8XBRXHS4Gvh4mB0LAAAAAACHs/Vgtka/n6ziUkM3dQrSP2/pIIuFqyIAcCycmYEql5eXp2HDhmn+/PmqU6dOuXlDhw5V//791aJFC3Xo0EGzZs1STk6ONm/efN71rV27VldddZWGDh2qZs2aKSIiQvfee6+Sk5Mre1NwAbNW7dLnmw7Jxcmiufd1V5sAH7MjAQAAAADgcPYdP62ouESdLipVn5b1NOvuzlzeGYBDopmBKjdmzBjddNNN6t+//wXHFRUVad68efLz81Pnzp3PO+7qq6/Whg0blJiYKEnas2ePvv76a910003nXaawsFA5OTnlHrCdj5IyNOeHNEnS9MEddVUrf5MTAQAAAADgeI7mFipyQaKO5RWpfZCv3onsLncXZ7NjAUCl4DJTqFJLlixRSkqKkpKSzjvmyy+/1JAhQ5Sfn6+goCCtWrVK/v7n/zJ8yJAhOnr0qK6++moZhqGSkhI9/PDDmjx58nmXiYmJ0bRp065oW1CxX34/pqeWbZEkPXp9K90dFmxyIgAAAAAAHE/umWJFxSVq/4l8Bdf1VPzIcPl4uJodCwAqDWdmoMpkZGRo3LhxWrhwoTw8zn/vhOuvv16pqalas2aNbrzxRt19993Kyso67/gff/xRL730kt566y2lpKTo008/1ZdffqkXXnjhvMtMmTJF2dnZZY+MjIwr2jactTMzVw8v3KASq6HbujTUPyLamB0JAAAAAACHU1hSqocWbtC2Qzmq5+2m90f25D6VAByexTAMw+wQqBmWL1+uO+64Q87O/z3dsbS0VBaLRU5OTiosLCw37w+tW7fWyJEjNWXKlArXe80116hXr1565ZVXyqYtXLhQDz74oPLy8uTkdPGeXU5Ojvz8/JSdnS1fX9+/sHXIyjmjO95ao4OnCtSjWV29f38PTm0FUO1RH+wXrw0AoCLUB/vFa2M7Vquhx5Zs1FebD8vbzVlLHuytjo39zI4FAH/J5dQHLjOFKtOvXz9t2bKl3LTo6GiFhIToySefrLCRIUmGYaiwsPC8683Pzz+nYeHs7CzDMESvrmrkF5VoVEKyDp4qUHN/b67RCQAAAABAJTAMQ89/uV1fbT4sV2eL5kZ2p5EBoMagmYEq4+Pjo9DQ0HLTvL29Va9ePYWGhur06dN66aWXdOuttyooKEjHjx/XW2+9pQMHDuiuu+4qW2b48OFq1KiRYmJiJEm33HKLZs2apa5du6pnz55KS0vTs88+q1tvvfW8DRLYTqnV0NgPUrXlYLbqerspLipcdbzdzI4FAAAAAIDDeevH3Ypfs1eS9K+7u+ia1vXNDQQAVYhmBuyGs7OzfvvtNyUkJOjYsWOqV6+ewsPD9fPPP6tDhw5l4/bv31/uTIxnnnlGFotFzzzzjA4ePKj69evrlltu0UsvvWTGZtQ4L361Xd/uOCI3FyfNH95dzfy9zY4EAAAAAIDD+Sg5Q698s1OS9M+b2+vWzg1NTgQAVYt7ZgDi2p1/Vdyv6Zr2xXZJ0pyhXXVzJ/6QAuBYqA/2i9cGAFAR6oP94rW5Mt/tOKIH39+gUquhh/q21ORBIWZHAgCbuJz6cPE7IwNABVZtP6LnvzzbyHjyxhAaGQAAAAAAVIIN+05ozOIUlVoN3dmtsZ68sa3ZkQDAFDQzAFy2LQeyNfaDjTIM6d4ewXqobwuzIwEAAAAA4HB+P5KrkfHJOlNs1fVt6+vlOzvKYrGYHQsATEEzA8BlOXAyXyMTklRQXKprWvvr+dtC+UMKAAAAAAAbO3SqQMNjE5VdUKyuTWrrzWHd5OrMV3kAai5+AwK4ZDlnijUyPklHcwsVEuijt/hDCgAAAAAAmzuVX6QRsYk6nH1GLet7K3ZEuLzcXMyOBQCm4ltIAJekuNSqRxamaNeRPDXwcVdsVLh8PFzNjgUAAAAAgEMpKCrV/QnJ+j0rT4G+HnpvVE/V8XYzOxYAmI5mBoCLMgxDTy/bol/SjsnLzVmxUeFqWNvT7FgAAAAAADiUklKrHvsgRcn7TsrXw0UJI3uoEZ+/AUASzQwAl+CtH3fro+QDcrJIc4Z2VWgjP7MjAQAAAADgUM4eSLhV3+7IkruLkxZEhattoI/ZsQDAbtDMAHBBn6Ue1Cvf7JQkTb21g24ICTA5EQAAAAAAjudfK3fpw+QMOVmkf9/bVeHN6podCQDsCs0MAOeVtPeEJn28WZI06urmGt67mbmBAAAAAABwQAlr9mrOD2mSpOl3dFREh0CTEwGA/aGZAaBC6cdO64H3klVUatXADgF66m/tzI4EAAAAAIDD+XLzIU39Ypsk6R8D2mhIjyYmJwIA+0QzA8A5TpwuUnRcok7lF6tzcG3NvqernJ0sZscCAAAAAMChrEk7pokfbpJhSMN7N9WjN7QyOxIA2C2aGQDKOVNcqgfeS9be4/lqXMdT7w4Pk6ebs9mxAAAAAABwKFsPZuvB9zeoqNSqv3UM1HO3dJDFwoGEAHA+NDMAlLFaDT3+8SZt2HdSPh4uiosKV30fd7NjAQBMcvLkSUVGRsrPz09+fn6KjIzUqVOnLriMYRiaOnWqGjZsKE9PT1133XXatm3beccOGjRIFotFy5cvt/0GAAAA2Kn9x/MVFZekvMIS9WpRV7Pu7sIVEQDgImhmACjz6sqd+nLzYbk4WfTOfd3VOsDH7EgAABMNHTpUqampWrFihVasWKHU1FRFRkZecJmZM2dq1qxZmjNnjpKSkhQYGKgBAwYoNzf3nLGzZ8/m6EMAAFDjHMsr1PDY9TqWV6h2Qb6aNzxMHq5cEQEALsbF7AAA7MOSxP1668fdkqSX7+ykPq38TU4EADDTjh07tGLFCq1bt049e/aUJM2fP1+9e/fWzp071bZt23OWMQxDs2fP1tNPP63BgwdLkhISEhQQEKDFixdr9OjRZWM3bdqkWbNmKSkpSUFBQVWzUQAAACbLKyxRdFxS2aWdE6LD5evhanYsAKgWODMDgH7adVRPL98qSRrbr7X+3r2xyYkAAGZbu3at/Pz8yhoZktSrVy/5+flpzZo1FS6Tnp6uzMxMRURElE1zd3dX3759yy2Tn5+ve++9V3PmzFFgYOAl5SksLFROTk65BwAAQHVSVGLVQ+9v0JaD2arn7ab3R/VUA18Ps2MBQLVBMwOo4X7LzNEji1JUajV0R9dGmtC/tdmRAAB2IDMzUw0aNDhneoMGDZSZmXneZSQpICCg3PSAgIByy0yYMEF9+vTRbbfddsl5YmJiyu7d4efnp+Dg4EteFgAAwGx/3KPyl7Rj8nJzVlx0uJr7e5sdCwCqFZoZQA12JOeMRv7/Dcd6NK+rl+/syLXLAcDBTZ06VRaL5YKP5ORkSaqwJhiGcdFa8ef5/7vM559/ru+//16zZ8++rNxTpkxRdnZ22SMjI+OylgcAADCLYRh64avt+nzTIbk4WTT3vu7q1Li22bEAoNrhnhlADXW6sESjEpJ0KPuMWtT31rzI7nJ34YZjAODoHn30UQ0ZMuSCY5o1a6bNmzfryJEj58w7evToOWde/OGPS0ZlZmaWuw9GVlZW2TLff/+9du/erdq1a5db9s4779Q111yjH3/8scJ1u7u7y93d/YK5AQAA7NHc1XsU9+teSdKrd3XWtW3qmxsIAKopmhlADVRqNTRuyUZtPZijet5uio/qodpebmbHAgBUAX9/f/n7+190XO/evZWdna3ExET16NFDkrR+/XplZ2erT58+FS7TvHlzBQYGatWqVerataskqaioSKtXr9aMGTMkSZMnT9b9999fbrmOHTvqtdde0y233HIlmwYAAGB3Pk7O0IwVv0mSnrmpnW7v2sjkRABQfXGZKaCGMQxDz3+xTd/uyJK7i5PmjwhTk3peZscCANiZdu3a6cYbb9QDDzygdevWad26dXrggQd08803q23btmXjQkJCtGzZMklnLy81fvx4TZ8+XcuWLdPWrVsVFRUlLy8vDR06VNLZszdCQ0PLPSSpSZMmat68edVvKAAADu6nn37SLbfcooYNG8pisWj58uXl5huGoalTp6phw4by9PTUddddp23btpXN37t373kvTfnxxx9X8dZUL9//dkSTP90iSRp9bQvdf00LkxMBQPVGMwOoYWJ/3auEtfskSa/d00XdmtQxOREAwF4tWrRIHTt2VEREhCIiItSpUye9//775cbs3LlT2dnZZc+feOIJjR8/Xo888ojCwsJ08OBBrVy5Uj4+PlUdHwAASDp9+rQ6d+6sOXPmVDh/5syZmjVrlubMmaOkpCQFBgZqwIABys3NlSQFBwfr8OHD5R7Tpk2Tt7e3Bg0aVJWbUq2k7D+pRxalqNRqaHC3RnryxhCzIwFAtWcxDMMwOwRgtpycHPn5+Sk7O1u+vr5mx6k032zL1EMLN8gwpCmDQjS6b0uzIwGAXasp9aE64rUBAFSE+nBhFotFy5Yt0+233y7p7FkZDRs21Pjx4/Xkk09KkgoLCxUQEKAZM2Zo9OjRFa6na9eu6tatmxYsWHDJP7smvTZpWbn6+9y1OpVfrOva1tf84WFydeZ4YgCoyOXUB36TAjXEpoxTGrdkowxDGtqziR68ltNbAQAAAKAmS09PV2ZmpiIiIsqmubu7q2/fvlqzZk2Fy2zYsEGpqakaNWrUBdddWFionJycco+a4HB2gYYvSNSp/GJ1Dq6tt4Z1o5EBADbCb1OgBsg4ka9RCck6U2xV3zb19fytHWSxWMyOBQAAAAAwUWZmpiQpICCg3PSAgICyeX+2YMECtWvXTn369LngumNiYuTn51f2CA4Otk1oO5adX6wRsYk6lH1GLep7Ky4qXF5uLmbHAgCHQTMDcHDZBcUaGZ+kY3mFahfkqzeHdZMLR4UAAAAAAP7fnw92MwyjwgPgCgoKtHjx4ouelSFJU6ZMUXZ2dtkjIyPDZnnt0ZniUt3/XpJ2HclTgK+73hvZQ3W93cyOBQAOhfYw4MCKSqx6eOEG/Z519o+p2Kgw1XLnvz0AAAAAQAoMDJR09gyNoKCgsulZWVnnnK0hSZ988ony8/M1fPjwi67b3d1d7u7utgtrx0pKrXrsg41K2ntSPh4uShjZQ43reJkdCwAcDodnAw7KMAw9tWyL1uw+Lm83Z8VGhSvIz9PsWAAAAAAAO9G8eXMFBgZq1apVZdOKioq0evXqCi8jtWDBAt16662qX79+Vca0a4Zh6NnPtmrV9iNyc3HSu8PDFBLo2Dc4BwCzcIg24KDmfJ+mTzYckJNFmjO0mzo09DM7EgAAAACgiuXl5SktLa3seXp6ulJTU1W3bl01adJE48eP1/Tp09W6dWu1bt1a06dPl5eXl4YOHVpuPWlpafrpp5/09ddfV/Um2LXXVu3SB4kZcrJIbwzpqp4t6pkdCQAcFs0MwAF9lnpQ/1q1S5I07bZQXR/SwOREAAAAAAAzJCcn6/rrry97PnHiREnSiBEjFB8fryeeeEIFBQV65JFHdPLkSfXs2VMrV66Uj49PufXExsaqUaNGioiIqNL89uz9tXv1xvdnG0Uv3B6qG0MDTU4EAI7NYhiGYXYIwGw5OTny8/NTdna2fH2r9+mgiekndN+761VUatWD17bQU39rZ3YkAKi2HKk+OBpeGwBARagP9svRXpuvtxzWmMUpMgxpfP/WGt+/jdmRAKBaupz6wD0zAAey+2ieHnw/WUWlVg0KDdTkG0PMjgQAAAAAgENZu/u4xi9JlWFIw3o20bh+rc2OBAA1As0MwEEczytUdFySTuUXq0twbb12Txc5OVnMjgUAAAAAgMPYfihHD7539iDCGzsE6vnbQmWx8NkbAKoCzQzAAZwpLtUD7yVr/4l8Bdf11LsjwuTh6mx2LAAAAAAAHEbGiXyNiEtUbmGJejSvq9lDusiZgwgBoMrQzACqOavV0D8+2qSU/afk6+GiuKhw+ddyNzsWAAAAAAAO43heoYbHJupobqFCAn00fzgHEQJAVaOZAVRzM7/Zqa+2HJars0XvRIapVQMfsyMBAAAAAOAwTheWKDo+SenHTqtRbU8ljOwhP09Xs2MBQI1DMwOoxhav36+5q3dLkmb+vZN6t6xnciIAAAAAABxHUYlVDy3coM0HslXHy1XvjeqhAF8Ps2MBQI1EMwOopn7cmaVnP9sqSRrfv7Xu6NrY5EQAAAAAADgOq9XQE59s0s+/H5Onq7PionuoZf1aZscCgBqLZgZQDe04nKNHF29UqdXQ4G6NNK5fa7MjAQAAAADgUKZ/vUPLUw/Jxcmit+/rpi7Btc2OBAA1Gs0MoJo5knNGI+OTlFdYol4t6urlwZ1ksVjMjgUAAAAAgMOY99NuvftLuqSzl3W+rm0DkxMBAGhmANXI6cISjYxP0uHsM2pZ31vv3BcmNxf+GwMAAAAAYCufphzQ9K9/kyQ99bcQDe7GZZ0BwB7wLShMExMTI4vFovHjx5dNmzp1qkJCQuTt7a06deqof//+Wr9+/UXXderUKY0ZM0ZBQUHy8PBQu3bt9PXXX1di+qpXUmrVYx9s1LZDOfKv5ab46B7y83I1OxYAAAAAAA7jh51ZeuKTzZKkB65prgevbWlyIgDAH1zMDoCaKSkpSfPmzVOnTp3KTW/Tpo3mzJmjFi1aqKCgQK+99poiIiKUlpam+vXrV7iuoqIiDRgwQA0aNNAnn3yixo0bKyMjQz4+PlWxKVXCMAxN+2K7vv8tS+4uTpo/PEzBdb3MjgUAAAAAgMPYuP+kHlmYohKrodu7NNSUQe3MjgQA+B80M1Dl8vLyNGzYMM2fP18vvvhiuXlDhw4t93zWrFlasGCBNm/erH79+lW4vtjYWJ04cUJr1qyRq+vZMxWaNm1aOeFNsuCXdL2/bp8sFun1IV3UtUkdsyMBAAAAAOAwdh/N08j4JBUUl+raNvU18++d5eTE/SkBwJ5wmSlUuTFjxuimm25S//79LziuqKhI8+bNk5+fnzp37nzecZ9//rl69+6tMWPGKCAgQKGhoZo+fbpKS0vPu0xhYaFycnLKPezViq2ZeunrHZKkpwa1042hQSYnAgAAAADAcRzJOaPhCxJ1Mr9YnRv76e1h3bg/JQDYIc7MQJVasmSJUlJSlJSUdN4xX375pYYMGaL8/HwFBQVp1apV8vf3P+/4PXv26Pvvv9ewYcP09ddf6/fff9eYMWNUUlKif/7znxUuExMTo2nTpl3x9lS21IxTGv/hRhmGFNmrqe6/prnZkQAAAAAAcBjZBcUaEZuog6cK1NzfW7FR4fJ25+syALBHtJlRZTIyMjRu3DgtXLhQHh4e5x13/fXXKzU1VWvWrNGNN96ou+++W1lZWecdb7Va1aBBA82bN0/du3fXkCFD9PTTT+vtt98+7zJTpkx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"text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "RE(bp.scan([fourc], fourc.k, 3.9, 4.1, 5))" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### (_hk0_) scan near (440)" ] }, { "cell_type": "code", "execution_count": 21, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\n", "\n", "Transient Scan ID: 4 Time: 2023-11-20 21:54:39\n", "Persistent Unique Scan ID: 'df5e8dae-b0ed-48a5-9e12-ca1fbdb8fdf4'\n", "New stream: 'primary'\n", "+-----------+------------+------------+------------+------------+-------------+------------+------------+------------+\n", "| seq_num | time | fourc_h | fourc_k | fourc_l | fourc_omega | fourc_chi | fourc_phi | fourc_tth |\n", "+-----------+------------+------------+------------+------------+-------------+------------+------------+------------+\n", "| 1 | 21:54:39.4 | 3.900 | 3.900 | 0.000 | -128.558 | 45.000 | 0.000 | 102.882 |\n", "| 2 | 21:54:39.8 | 3.950 | 3.950 | 0.000 | -127.627 | 45.000 | 0.000 | 104.744 |\n", "| 3 | 21:54:40.3 | 4.000 | 4.000 | -0.000 | -126.676 | 45.000 | 0.000 | 106.647 |\n", "| 4 | 21:54:40.7 | 4.050 | 4.050 | 0.000 | -125.703 | 45.000 | 0.000 | 108.592 |\n", "| 5 | 21:54:41.1 | 4.100 | 4.100 | -0.000 | -124.707 | 45.000 | 0.000 | 110.585 |\n", "+-----------+------------+------------+------------+------------+-------------+------------+------------+------------+\n", "generator scan ['df5e8dae'] (scan num: 4)\n", "\n", "\n", "\n" ] }, { "data": { "text/plain": [ "('df5e8dae-b0ed-48a5-9e12-ca1fbdb8fdf4',)" ] }, "execution_count": 21, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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"text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "RE(bp.scan([fourc], fourc.h, 3.9, 4.1, fourc.k, 3.9, 4.1, 5))" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Move to the (_440_) reflection." ] }, { "cell_type": "code", "execution_count": 22, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "fourc.position = FourCirclePseudoPos(h=4.0, k=4.000000000000001, l=5.735944501465638e-16)\n" ] } ], "source": [ "fourc.move((4,4,0))\n", "print(f\"{fourc.position = }\")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Repeat the same scan about the (_440_) but use _relative_ positions." ] }, { "cell_type": "code", "execution_count": 23, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\n", "\n", "Transient Scan ID: 5 Time: 2023-11-20 21:54:42\n", "Persistent Unique Scan ID: '9fd485f8-1438-46d1-98b3-e499283579bc'\n", "New stream: 'primary'\n", "+-----------+------------+------------+------------+------------+-------------+------------+------------+------------+\n", "| seq_num | time | fourc_h | fourc_k | fourc_l | fourc_omega | fourc_chi | fourc_phi | fourc_tth |\n", "+-----------+------------+------------+------------+------------+-------------+------------+------------+------------+\n", "| 1 | 21:54:42.6 | 3.900 | 3.900 | 0.000 | -128.558 | 45.000 | 0.000 | 102.882 |\n", "| 2 | 21:54:43.0 | 3.950 | 3.950 | -0.000 | -127.627 | 45.000 | 0.000 | 104.744 |\n", "| 3 | 21:54:43.4 | 4.000 | 4.000 | -0.000 | -126.676 | 45.000 | 0.000 | 106.647 |\n", "| 4 | 21:54:43.8 | 4.050 | 4.050 | 0.000 | -125.703 | 45.000 | 0.000 | 108.592 |\n", "| 5 | 21:54:44.3 | 4.100 | 4.100 | -0.000 | -124.707 | 45.000 | 0.000 | 110.585 |\n", "+-----------+------------+------------+------------+------------+-------------+------------+------------+------------+\n", "generator rel_scan ['9fd485f8'] (scan num: 5)\n", "\n", "\n", "\n" ] }, { "data": { "text/plain": [ "('9fd485f8-1438-46d1-98b3-e499283579bc',)" ] }, "execution_count": 23, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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522iTEwEAAHgvinQAAAAA8DBbDjj0wPwMGYZ058VNNbx3gtmRAAAAvBpFOgAAAAB4kNyCkxo9N10nypzq2zpKT17fURaLxexYAAAAXo0iHQAAAAA8xIlSp8bMS9dBx0m1bBiq6YO7KcDKaR0AAEBt4xMXAAAAAHgAl8vQnz7K0IZ9DkWEBGjW8O6yBweYHQsAAMAnUKQDAAAAgAd4+duftWhTjgKsFr15Z5KaNQg1OxIAAIDPoEgHAAAAADf32fr9evXfOyRJU/7QWT1bNDA5EQAAgG+hSAcAAAAAN5a+J18PfbxRkjT20pa6JTne5EQAAAC+hyIdAAAAANxUdn6x7np3rUqdLqV0iNFDV7c1OxIAAIBPokgHAAAAADdUeLJMo+amKe94qTrGheuV2y6Sn5/F7FgAAAA+iSIdAAAAANxMudOl+z9cr58PFSkm3KaZw7orJNDf7FgAAAA+iyIdAAAAANzMM19l6vtthxUU4Kd3hnZXrD3I7EgAAAA+jSIdAAAAANzIu6l7NGflHknSK4MuUucmdnMDAQAAgCIdAAAAANzFDz8f1uR//iRJ+vPVbdWvUyOTEwEAAECiSAcAAAAAt7Ajt1D3vr9OTpehgd0a657LWpodCQAAAL+gSAcAAAAAk+UfL9XIOekqLClX94QITR3YWRaLxexYAAAA+AVFOgAAAACYqKTcqbHvrlVWfrHiI4P11pBk2fytZscCAADAf6FIBwAAAACTGIahRz/drDV78hVm89esYd0VGRpodiwAAAD8D4p0AAAAADDJG8t26pN1+2T1s2j6Hd3UOibM7EgAAAA4C4p0AAAAADDB4s0H9fzibZKkydd30KVtGpqcCAAAAOdCkQ4AAAAAdWzTPofGL8iQJA3r1UxDeiWYmgcAAABVo0gHAAAAgDqU4zip0fPSdLLMpd+1aai/XNfB7EgAAAD4FRTpAAAAAFBHikvLNXpemg4VlKh1dD1NH5wofyunZQAAAO6OT2wAAAAAUAdcLkMTF2zQ5v0FigwN1Kzh3RUeFGB2LAAAAJwHinQAAAAAqAMvLtmmxVtyFGj109tDkhQfGWJ2JAAAAJwninQAAAAAqGX/SMvW69/vlCQ9e1NnJSdEmpwIAAAAF4IiHQAAAABq0Y/bj+jRhZskSfdd3koDuzUxOREAAAAuFEU6AAAAANSSnw8V6u731qrcZeiGrnH6U0obsyMBAACgGijSAQAAAKAW5Bae1IjZaSosKVf3hAi9cEsXWSwWs2MBAACgGijSAQAAAKCGFZeWa/TcdO0/dkLNo0L19pBk2fytZscCAABANVGkAwAAAEANcroMPTA/Qxv3ORQREqDZw7srIjTQ7FgAAAD4DSjSAQAAAKAG/e2rTC396ZAC/f00Y2iyEqJCzY4EAACA34giHQAAAABqyNyVezRrxW5J0t9v6arkhEiTEwEAAKAmUKQDAAAAQA34V+YhPfXPLZKkP1/dVtd3jTM5EQAAAGoKRToAAAAA/Eab9zt03wfr5TKkQcnxuueylmZHAgAAQA2iSAcAAACA3+DAsRMaOSdNJ8qc6ts6Ss/8oZMsFovZsQAAAFCDKNIBAAAAoJoKT5Zp5Jw05RaWqG1MmF67o5sCrJxmAQAAeBs+4QEAAABANZQ5Xbrn/XXamlOohmE2zRrRXeFBAWbHAgAAQC3wuCL99ddfV/PmzRUUFKSkpCQtX768yvWXLVumpKQkBQUFqUWLFnrzzTcrPT9jxgz17dtXERERioiI0JVXXqk1a9bU5i4AAAAA8HCGYeiJzzdr+fYjCg6wataw7mpcP9jsWAAAAKglHlWkL1iwQOPHj9djjz2m9evXq2/fvurfv7+ysrLOuv7u3bt1zTXXqG/fvlq/fr0effRRjRs3Tp988knFOt9//71uv/12fffdd0pNTVXTpk2VkpKi/fv319VuAQAAAPAwby7bpQ/XZMtikabdnqjOTexmRwIAAEAtshiGYZgd4nz17NlT3bp10xtvvFGxrH379howYICmTp16xvoPP/ywvvjiC2VmZlYsGzt2rDZs2KDU1NSzfg+n06mIiAhNnz5dQ4cOPes6JSUlKikpqfi6oKBA8fHxcjgcCg8Pr+7uAQB8REFBgex2O8cNN8PPBcD5+nLjAd33wXpJ0pPXd9CIPs1NTgQzcNwAAMC3eMwV6aWlpVq7dq1SUlIqLU9JSdHKlSvPuk1qauoZ61999dVKT09XWVnZWbcpLi5WWVmZIiMjz5ll6tSpstvtFY/4+PgL3BsAAAAAnmjt3nxN/McGSdLw3gmU6AAAAD7CY4r0I0eOyOl0KiYmptLymJgY5eTknHWbnJycs65fXl6uI0eOnHWbRx55RI0bN9aVV155ziyTJk2Sw+GoeGRnZ1/g3gAAAADwNHvzjmvMvLUqLXfpyvYx+st1HcyOBAAAgDrib3aAC2WxWCp9bRjGGct+bf2zLZek559/Xh9++KG+//57BQUFnfM1bTabbDbbhcQGAAAA4MGOHi/ViNlpyj9eqs6N7Zp2+0Wy+p37PAQAAADexWOK9KioKFmt1jOuPs/NzT3jqvPTYmNjz7q+v7+/GjRoUGn5iy++qClTpujbb79Vly5dajY8AAAAAI9VUu7UXe+u1a4jx9W4frBmDktWSKDHnEoBAACgBnjM0C6BgYFKSkrS0qVLKy1funSpevfufdZtevXqdcb6S5YsUXJysgICAiqWvfDCC/rrX/+qxYsXKzk5uebDAwAAAPBIhmHooY83as2efIXZ/DVreHdFh5/77lUAAAB4J48p0iVp4sSJeueddzRr1ixlZmZqwoQJysrK0tixYyWdGrt86NChFeuPHTtWe/fu1cSJE5WZmalZs2Zp5syZevDBByvWef755/X4449r1qxZSkhIUE5OjnJyclRUVFTn+wcAAADAvby89Gd9nnFA/n4WvX5nN7WNDTM7EgAAAEzgUfcjDho0SHl5eXr66ad18OBBderUSYsWLVKzZs0kSQcPHlRWVlbF+s2bN9eiRYs0YcIEvfbaa4qLi9O0adN00003Vazz+uuvq7S0VDfffHOl7/Xkk09q8uTJdbJfAAAAANzPR+nZmvbvHZKkv/2hk/q2bmhyIgAAAJjFYpyefRPVVlBQILvdLofDofDwcLPjAADcHMcN98TPBcB/W7njiIbOWqNyl6F7Lmuph/q1MzsS3AzHDQAAfItHDe0CAAAAALVt+6FC3fXeWpW7DF3XpZEeTGlrdiQAAACYjCIdAAAAAH5xuLBEI+akqfBkuZKbRejFW7rKz89idiwAAACYjCIdAACY6ocfftD111+vuLg4WSwWffbZZ5WeNwxDkydPVlxcnIKDg3XZZZdpy5YtldbJycnRkCFDFBsbq9DQUHXr1k0ff/xxHe4FAG9wotSp0XPTtO/oCSU0CNHbQ5MVFGA1OxYAAADcAEU6AAAw1fHjx9W1a1dNnz79rM8///zzeumllzR9+nSlpaUpNjZWV111lQoLCyvWGTJkiLZt26YvvvhCmzZt0sCBAzVo0CCtX7++rnYDgIdzugyNX7BeG/Y5VD8kQLNH9FBkaKDZsQAAAOAmKNIBAICp+vfvr2eeeUYDBw484znDMPTKK6/oscce08CBA9WpUyfNnTtXxcXF+uCDDyrWS01N1f33368ePXqoRYsWevzxx1W/fn2tW7euLncFgAebuihT32w5pECrn2YMTVbzqFCzIwEAAMCNUKQDAAC3tXv3buXk5CglJaVimc1m06WXXqqVK1dWLLvkkku0YMEC5efny+Vyaf78+SopKdFll112ztcuKSlRQUFBpQcA3/Ru6h698+NuSdILt3RR94RIkxMBAADA3VCkAwAAt5WTkyNJiomJqbQ8Jiam4jlJWrBggcrLy9WgQQPZbDbdddddWrhwoVq2bHnO1546darsdnvFIz4+vnZ2AoBb+/fWQ3ryi1PzLjyY0kY3XtTY5EQAAABwRxTpAADA7VkslkpfG4ZRadnjjz+uo0eP6ttvv1V6eromTpyoW265RZs2bTrna06aNEkOh6PikZ2dXWv5Abinzfsduu+D9XIZ0q3JTXTv5a3MjgQAAAA35W92AAAAgHOJjY2VdOrK9EaNGlUsz83NrbhKfefOnZo+fbo2b96sjh07SpK6du2q5cuX67XXXtObb7551te22Wyy2Wy1vAcA3NVBxwmNmpum4lKn+rRqoL/9ofMZv7QDAAAATuOKdAAA4LaaN2+u2NhYLV26tGJZaWmpli1bpt69e0uSiouLJUl+fpU/1litVrlcrroLC8BjFJ4s04jZaTpUUKLW0fX0+h1JCrByagQAAIBz44p0AABgqqKiIu3YsaPi6927dysjI0ORkZFq2rSpxo8frylTpqh169Zq3bq1pkyZopCQEA0ePFiS1K5dO7Vq1Up33XWXXnzxRTVo0ECfffaZli5dqi+//NKs3QLgpsqdLt33wXptzSlUVD2bZo/oLntwgNmxAAAA4OYo0gEAgKnS09N1+eWXV3w9ceJESdKwYcM0Z84cPfTQQzpx4oTuueceHT16VD179tSSJUsUFhYmSQoICNCiRYv0yCOP6Prrr1dRUZFatWqluXPn6pprrjFlnwC4J8Mw9MQXW7Ts58MKCvDTzGHJahIRYnYsAAAAeACLYRiG2SE8XUFBgex2uxwOh8LDw82OAwBwcxw33BM/F8D7vbVsp6Z+vVUWi/TWnUlK6RhrdiR4MI4bAAD4FgYCBAAAAOD1Fm06qKlfb5UkPX5tB0p0AAAAXBCKdAAAAABebV3WUU1YkCFJGtarmUb2STA1DwAAADwPRToAAAAAr5WVV6wxc9NVUu7S79tF64nrO8pisZgdCwAAAB6GIh0AAACAVzpWXKrhc9Yo73ipOsaFa9rtibL6UaIDAADgwlGkAwAAAPA6JeVO3fXuWu06fFxx9iDNGt5doTZ/s2MBAADAQ1GkAwAAAPAqhmFo0iebtHp3vurZ/DVrRHfFhAeZHQsAAAAejCIdAAAAgFd55dvt+nT9fln9LHr9jm5qFxtudiQAAAB4OIp0AAAAAF7jk7X79H//2i5JemZAJ/2uTUOTEwEAAMAbUKQDAAAA8AqpO/P0yKcbJUljL22p23s0NTkRAAAAvAVFOgAAAACPtyO3UHe9m64yp6FruzTSQ1e3NTsSAAAAvAhFOgAAAACPdqSoRCPmpKngZLm6Na2vv9/SVX5+FrNjAQAAwItQpAMAAADwWCfLnBo9N13Z+SfUNDJEM4YmKyjAanYsAAAAeBmKdAAAAAAeyeUyNGFBhjKyj8keHKDZI7qrQT2b2bEAAADghSjSAQAAAHikZxdv1debcxRo9dPbQ5LUsmE9syMBAADAS1GkAwAAAPA4763aq7d/2CVJev7mLurZooHJiQAAAODNKNIBAAAAeJTvtuXqic83S5ImXtVGAxIbm5wIAAAA3o4iHQAAAIDH+OlAge57f51chnRzUhPdf0UrsyMBAADAB1CkAwAAAPAIBx0nNHJOmo6XOtW7ZQNN+UNnWSwWs2MBAADAB1CkAwAAAHB7RSXlGjknXTkFJ9Uqup7euDNJgf6czgAAAKBu8MkTAAAAgFsrd7p03wfrlHmwQFH1AjV7eHfZgwPMjgUAAAAfQpEOAAAAwG0ZhqHJ/9yi77cdVlCAn94Z1l3xkSFmxwIAAICPoUgHAAAA4LbeWb5b763KksUivTIoURfF1zc7EgAAAHwQRToAAAAAt/T1poOa8nWmJOmxa9qrX6dYkxMBAADAV1GkAwAAAHA767OOavyCDBmGNOTiZhp1SXOzIwEAAMCHUaQDAAAAcCvZ+cUaPTddJeUuXd62oZ68voMsFovZsQAAAODDKNIBAAAAuA1HcZmGz16jvOOl6tAoXNMHd5O/ldMWAAAAmItPpAAAAADcQmm5S2PfW6udh48rNjxIs4Z3V6jN3+xYAAAAgM77U+nEiRP117/+VaGhoZo4cWKV67700ku/ORgAAAAA32EYhh75dKNSd+UpNNCqWcO7K9YeZHYsAAAAQNIFFOnr169XWVlZxZ/PhbELAQDwDYcOHdKDDz6of/3rX8rNzZVhGJWedzqdJiUD4Imm/WuHPl23X1Y/i167o5s6xIWbHQkAAACocN5F+nfffXfWPwMAAN80fPhwZWVl6S9/+YsaNWrEL9MBVNvC9fv08rc/S5KevrGjLmsbbXIiAAAAoDIGHAQAANXy448/avny5brooovMjgLAg63alaeHPt4oSbrrdy10R89mJicCAAAAzlStIv348eN69tlnK27ldrlclZ7ftWtXjYQDAADuKz4+/ozhXADgQuw8XKS73l2rMqehazrH6uF+7cyOBAAAAJxVtYr00aNHa9myZRoyZAi3cgMA4KNeeeUVPfLII3rrrbeUkJBgdhwAHiavqEQjZqfJcaJMiU3r66VbL5KfH+cVAAAAcE/VKtK//vprffXVV+rTp09N5wEAAG4sIiKi0i/Qjx8/rpYtWyokJEQBAQGV1s3Pz6/reAA8xMkyp0bPS1dWfrHiI4M1Y2iyggKsZscCAAAAzqlaRXpERIQiIyNrOgsAAHBzr7zyitkRAHg4l8vQxH9kaH3WMdmDAzR7eA9F1bOZHQsAAACoUrWK9L/+9a964oknNHfuXIWEhNR0JgAA4KaGDRtmdgQAHu75b7Zp0aYcBVgtemtIklpF1zM7EgAAAPCrzrtIT0xMrHQr944dOxQTE6OEhIQzbuVet25dzSUEAABuyWq16uDBg4qOjq60PC8vT9HR0XI6nSYlA+CuPlyTpTeX7ZQkPX9zF13cooHJiQAAAIDzc95F+oABA2oxBgAA8DSGYZx1eUlJiQIDA+s4DQB3t+znw3r8s82SpPFXttYfEpuYnAgAAAA4f+ddpD/55JO1mQMAAHiIadOmSZIsFoveeecd1av3n2EZnE6nfvjhB7Vr186seADcUObBAt37/jo5XYYGdmusB37f2uxIAAAAwAWp1hjpp6WnpyszM1MWi0Xt27dXUlJSTeUCAABu6uWXX5Z06or0N998U1arteK5wMBAJSQk6M033zQrHgA3c6jgpEbOSVNRSbkubhGpZwd2qTRkJAAAAOAJqlWk79u3T7fffrtWrFih+vXrS5KOHTum3r1768MPP1R8fHxNZgQAAG5k9+7dkqTLL79cn376qSIiIkxOBMBdHS8p18g5aTroOKmWDUP11p3JCvT3MzsWAAAAcMGq9Sl25MiRKisrU2ZmpvLz85Wfn6/MzEwZhqFRo0bVdEYAAOCGLr/8ctlstjOWnzhxQk8//bQJiQC4E6fL0LgP12vLgQI1CA3U7OE9ZA8JMDsWAAAAUC0W41wzhVUhODhYK1euVGJiYqXl69atU58+fXTixIkaC+gJCgoKZLfb5XA4FB4ebnYcAICb85bjhtVq1cGDBxUdHV1peV5enqKjo+V0Ok1KVj3e8nMB3IFhGJr8xRbNTd0rm7+f5v/xYiU25e4VeBeOGwAA+JZqXZHetGlTlZWVnbG8vLxcjRs3/s2hAACA+zMM46zjHG/YsEGRkZEmJALgLmat2KO5qXtlsUivDLqIEh0AAAAer1pjpD///PO6//779dprrykpKUkWi0Xp6el64IEH9OKLL9Z0RgAA4EYiIiJksVhksVjUpk2bSmW60+lUUVGRxo4da2JCAGb6ZkuOnvnqJ0nSpP7t1L9zI5MTAQAAAL9dtYZ2iYiIUHFxscrLy+Xvf6qLP/3n0NDQSuvm5+fXTFI3xi19AIAL4enHjblz58owDI0cOVKvvPKK7HZ7xXOBgYFKSEhQr169TExYPZ7+cwHcwYbsYxr0dqpOlrl0R8+memZAp7PeuQJ4A44bAAD4lmpdkf7KK6/UcAwAAOAphg0bJklq3ry5+vTpU/FL9XN59tlnNXbsWNWvX78O0gEwS3Z+sUbNTdfJMpcua9tQT93QkRIdAAAAXqNaRfrpE+hf8+yzz+rYsWOcOAMA4IUuvfTS81pvypQpuvXWW/k8AHgxx4kyjZyTpiNFJWrfKFzTB3eTv7Va0zEBAAAAbqlWP91OmTLFJ4Z2AQAA51aNUeQAeJDScpfueX+ttucWKSbcplnDk1XPVq3rdQAAAAC3VatFOifOAAAAgPcyDEOPLdykFTvyFBpo1azh3dXIHmx2LAAAAKDGcb8lAAAAgGp57bsd+mjtPvlZpOmDu6ljnP3XNwIAAAA8kMcV6a+//rqaN2+uoKAgJSUlafny5VWuv2zZMiUlJSkoKEgtWrTQm2++ecY6n3zyiTp06CCbzaYOHTpo4cKFtRUfAAAA8AqfZ+zXi0t+liQ9dWMnXd4u2uREAAAAQO3xqCJ9wYIFGj9+vB577DGtX79effv2Vf/+/ZWVlXXW9Xfv3q1rrrlGffv21fr16/Xoo49q3Lhx+uSTTyrWSU1N1aBBgzRkyBBt2LBBQ4YM0a233qrVq1fX1W4BAAAAHmXN7nz9+aONkqQxfZtryMXNTE4EAAAA1C6LUYsDmYeFhWnDhg1q0aJFjbxez5491a1bN73xxhsVy9q3b68BAwZo6tSpZ6z/8MMP64svvlBmZmbFsrFjx2rDhg1KTU2VJA0aNEgFBQX6+uuvK9bp16+fIiIi9OGHH55XroKCAtntdjkcDoWHh1d396rNMAydKHPW+fcFAE8WHGCVxWIx5Xubfdyoa9dcc41mzpypRo0amR2lSr72cwGqa9fhIg18Y6WOFZepX8dYvX5HN/n5mfP/KWAmjhsAAPgW/9p88b59+yo4uGYmGyotLdXatWv1yCOPVFqekpKilStXnnWb1NRUpaSkVFp29dVXa+bMmSorK1NAQIBSU1M1YcKEM9Z55ZVXzpmlpKREJSUlFV8XFBRc4N7UrBNlTnV44htTMwCAp/np6asVElirh0Gvt2jRIlmtVl199dWVln/zzTdyuVzq379/xXoAvEP+8VKNnJOmY8Vl6hpfXy8PuogSHQAAAD6hWkO7LFq0SN98c2Zx+80331S6snvRokU1dvXZkSNH5HQ6FRMTU2l5TEyMcnJyzrpNTk7OWdcvLy/XkSNHqlznXK8pSVOnTpXdbq94xMfHV2eXAADwaI888oiczjPviDIM44xffAPwfCfLnBozL1178orVJCJY7wxNVnCg1exYAAAAQJ2o1qV4jzzyiJ599tkzlp8+cT59BVpt+N/b8A3DqPLW/LOt/7/LL/Q1J02apIkTJ1Z8XVBQYGqZHhxg1U9PX/3rKwIAKgQHUP78Vtu3b1eHDh3OWN6uXTvt2LHDhEQAaovLZejBjzZo7d6jCg/y15wR3dUwzGZ2LAAAAKDOVKtIN+PEOSoqSlar9YwrxXNzc8+4ovy02NjYs67v7++vBg0aVLnOuV5Tkmw2m2w29zlxsFgsDE8AAKhzdrtdu3btUkJCQqXlO3bsUGhoqDmhANSKF5ds05cbDyrAatGbQ5LUKjrM7EgAAABAnarW0C6nT5z/V22eOAcGBiopKUlLly6ttHzp0qXq3bv3Wbfp1avXGesvWbJEycnJCggIqHKdc70mAAA45YYbbtD48eO1c+fOimU7duzQn/70J91www0mJgNQk+avydLr35/6dz51YBf1bhllciIAAACg7lWrSDfrxHnixIl65513NGvWLGVmZmrChAnKysrS2LFjJZ0acmXo0KEV648dO1Z79+7VxIkTlZmZqVmzZmnmzJl68MEHK9Z54IEHtGTJEj333HPaunWrnnvuOX377bcaP358re0HAADe4IUXXlBoaKjatWun5s2bq3nz5mrfvr0aNGigF1980ex4AGrA99ty9dhnmyVJ437fWjcnNTE5EQAAAGCOao0H8sILL6hfv35q166dmjQ59WF637596tu3b62eOA8aNEh5eXl6+umndfDgQXXq1EmLFi1Ss2bNJEkHDx5UVlZWxfrNmzfXokWLNGHCBL322muKi4vTtGnTdNNNN1Ws07t3b82fP1+PP/64/vKXv6hly5ZasGCBevbsWWv7AQCAN7Db7VqxYoW+/fZbbdiwQcHBwerSpYt+97vfmR0NQA3YvN+he95fJ6fL0MDExppwZWuzIwEAAACmsRinZ9+8QC6XixPnXxQUFMhut8vhcCg8PNzsOAAAN+cNx43y8nIFBQUpIyNDnTp1MjtOjfCGnwtQU7Lzi/WH11fqSFGJLmkVpVnDuyvQv1o3swJei+MGAAC+5YKvSP/vE+eUlBSlpKTURi4AAODG/P391axZMzmdTrOjAKhhx4pLNWz2Gh0pKlG72DC9cWc3SnQAAAD4vAv+RMyJMwAAkKTHH39ckyZNUn5+vtlRANSQk2VOjZ6brl2HjyvOHqQ5I3ooLCjA7FgAAACA6ao1RvrpE+f33ntPkZGRNZ0JAAB4gGnTpmnHjh2Ki4tTs2bNFBoaWun5devWmZQMQHW4XIYmLMhQ+t6jCgvy15yRPRRrDzI7FgAAAOAWqlWkc+IMAAAGDBhgdgQANeiZrzL19eYcBVr99PaQZLWJCTM7EgAAAOA2qlWkc+IMAACefPJJsyMAqCHvLN+lWSt2S5JevLWrerVsYHIiAAAAwL1Uq0jnxBkAAADwDl9uPKBnvsqUJD16TTvd0DXO5EQAAACA+6lWkQ4AAODn5yeLxXLO55mYHHB/q3flaeKCDZKk4b0TNKZvC5MTAQAAAO6pWkU6J84AAGDhwoWVvi4rK9P69es1d+5cPfXUUyalAnC+th8q1Jh56Sp1unR1xxj95boOVX7GBwAAAHxZtYp0TpwBAMCNN954xrKbb75ZHTt21IIFCzRq1CgTUgE4H4cKTmr47DQVnCxXt6b19X+3JcrqR4kOAAAAnEu1inROnAEAwLn07NlTY8aMMTsGgHMoKinXiNlp2n/shFpEheqdYd0VFGA1OxYAAADg1vxq8sV69uypb7/9tiZfEgAAeJATJ07o1VdfVZMmTcyOAuAsypwu3f3eWv10sEBR9QI1Z0QPRYYGmh0LAAAAcHs1NtkoJ84AAPiWiIiISuMpG4ahwsJChYSE6L333jMxGYCzMQxDkz7dpOXbjyg4wKpZw7uraYMQs2MBAAAAHqFaRTonzgAA4JVXXqn0tZ+fnxo2bKiePXsqIiLCnFAAzunlb7fr47X7ZPWz6PU7uqlLk/pmRwIAAAA8RrWKdE6cAQDAsGHDzI4A4DzNX5Olaf/aLkl6ZkAnXd4u2uREAAAAgGepVpHOiTMAAJCkY8eOaebMmcrMzJTFYlGHDh00cuRI2e12s6MB+MV3W3P12GebJUnjrmil23s0NTkRAAAA4HmqPUY6J84AAPi29PR0XX311QoODlaPHj1kGIZeeukl/e1vf9OSJUvUrVs3syMCPm/jvmO65/11croM3dStiSZc1cbsSAAAAIBHshiGYVzoRmc7cU5PT9eJEyd88sS5oKBAdrtdDodD4eHhZscBALg5bzlu9O3bV61atdKMGTPk73/qd/Pl5eUaPXq0du3apR9++MHkhBfGW34uwGlZecUa+MYKHSkqVd/WUZo1vLsCrH5mxwK8BscNAAB8S7WKdG87cf6t+AAFALgQ3nLcCA4O1vr169WuXbtKy3/66SclJyeruLjYpGTV4y0/F0CSjh4v1U1vrNSuI8fVoVG4Ftx1scKCAsyOBXgVjhsAAPiWal2Skp6erocffriiRJckf39/PfTQQ0pPT6+xcAAAwH2Fh4crKyvrjOXZ2dkKCwszIREASTpZ5tToeenadeS4GtcP1uwR3SnRAQAAgN+oWkU6J84AAGDQoEEaNWqUFixYoOzsbO3bt0/z58/X6NGjdfvtt5sdD/BJTpehB+av19q9RxUe5K85I7orJjzI7FgAAACAx6vWZKOnT5xffPFF9e7dWxaLRT/++KP+/Oc/c+IMAIAX27hxozp16iQ/Pz+9+OKLslgsGjp0qMrLyyVJAQEBuvvuu/Xss8+anBTwPYZh6K9f/qRvthxSoNVPM4Ymq3UMF7kAAAAANeG8i3ROnAEAQGJiog4ePKjo6Gi1a9dOaWlpmjp1qnbs2CFJatWqlUJCQkxOCfimGct3ac7KPZKklwZ1Vc8WDcwNBAAAAHiR8y7SOXEGAAD169fX7t27FR0drT179sjlcikkJERdunQxOxrg077YcEBTFm2VJD1+bXtd1yXO5EQAAACAdznvIp0TZwAAcNNNN+nSSy9Vo0aNZLFYlJycLKvVetZ1d+3aVcfpAN+UujNPD/5jgyRpZJ/mGt23hcmJAAAAAO9z3kU6J84AAODtt9/WwIEDtWPHDo0bN05jxoxhonHARD8fKtQf301XqdOlazrH6vFr25sdCQAAAPBK512kc+IMAAAkqV+/fpKktWvX6oEHHuDzAGCSHMdJDZ+1RoUny9U9IUIv3XqR/PwsZscCAAAAvNJ5F+kSJ84AAOA/Zs+eXSOv88MPP+iFF17Q2rVrdfDgQS1cuFADBgyoeN4wDD311FN6++23dfToUfXs2VOvvfaaOnbsWOl1UlNT9dhjj2n16tUKCAjQRRddpK+//lrBwcE1khNwJ4UnyzR89hodcJxUy4ahmjE0WUEBZ79bFAAAAMBv51edjWbPnk2JDgAAasTx48fVtWtXTZ8+/azPP//883rppZc0ffp0paWlKTY2VldddZUKCwsr1klNTVW/fv2UkpKiNWvWKC0tTffdd5/8/Kr1UQdwa6XlLt393jptzSlUwzCb5ozoofohgWbHAgAAALzaBV2RDgAAUNP69++v/v37n/U5wzD0yiuv6LHHHtPAgQMlSXPnzlVMTIw++OAD3XXXXZKkCRMmaNy4cXrkkUcqtm3dunXthwfqmGEYeuSTjfpxxxGFBFo1e3h3xUeGmB0LAAAA8HpcpgUAANzW7t27lZOTo5SUlIplNptNl156qVauXClJys3N1erVqxUdHa3evXsrJiZGl156qX788ccqX7ukpEQFBQWVHoC7+/uSn/Xp+v2y+ln0+h3d1Kmx3exIAAAAgE+gSAcAAG4rJydHkhQTE1NpeUxMTMVzu3btkiRNnjxZY8aM0eLFi9WtWzf9/ve/1/bt28/52lOnTpXdbq94xMfH19JeADXj/dV7Nf27HZKkqX/orMvaRpucCAAAAPAdFOkAAMDtWSyWSl8bhlGxzOVySZLuuusujRgxQomJiXr55ZfVtm1bzZo165yvOWnSJDkcjopHdnZ27e0A8Bv9K/OQ/vLZZknS+Ctb69bu/OIHAAAAqEuMkQ4AANxWbGyspFNXpjdq1KhieW5ubsVV6qeXd+jQodK27du3V1ZW1jlf22azyWaz1XRkoMZlZB/TfR+sl8uQbk1uogd+z/j/AAAAQF3jinQAAOC2mjdvrtjYWC1durRiWWlpqZYtW6bevXtLkhISEhQXF6dt27ZV2vbnn39Ws2bN6jQvUNP25h3XqDlpOlHm1KVtGupvf+h8xh0aAAAAAGofV6QDAABTFRUVaceOHRVf7969WxkZGYqMjFTTpk01fvx4TZkyRa1bt1br1q01ZcoUhYSEaPDgwZJODfvy5z//WU8++aS6du2qiy66SHPnztXWrVv18ccfm7VbwG+WV1SiYbPWKO94qTo1Dtfrd3RTgJXrYAAAAAAzUKQDAABTpaen6/LLL6/4euLEiZKkYcOGac6cOXrooYd04sQJ3XPPPTp69Kh69uypJUuWKCwsrGKb8ePH6+TJk5owYYLy8/PVtWtXLV26VC1btqzz/QFqwolSp0bPS9eevGI1iQjWrOHdFWrjozsAAABgFothGIbZITxdQUGB7Ha7HA6HwsPDzY4DAHBzHDfcEz8XuAuny9DY99Zq6U+HZA8O0Cd391ar6HpmxwLwPzhuAADgW7g3FAAAAHAThmFo8hdbtPSnQwr099M7w5Ip0QEAAAA3QJEOAAAAuIm3ftild1ftlcUi/d+gi9Q9IdLsSAAAAABEkQ4AAAC4hc8z9uvZr7dKkv5ybQf179zI5EQAAAAATqNIBwAAAEy2cucRPfjRBknS6Euaa+QlzU1OBAAAAOC/UaQDAAAAJtqaU6C75q1VmdPQtV0a6dFr2psdCQAAAMD/oEgHAAAATHLQcUIjZqepsKRcPRIi9fdbusrPz2J2LAAAAAD/gyIdAAAAMEHByTKNmJ2mg46TahVdT28PTVJQgNXsWAAAAADOgiIdAAAAqGOl5S6NfXettuYUqmGYTXNGdFf9kECzYwEAAAA4B4p0AAAAoA4ZhqGHPt6glTvzFBpo1ezh3dUkIsTsWAAAAACqQJEOAAAA1KEXvtmmzzIOyN/PojfuTFKnxnazIwEAAAD4FRTpAAAAQB15d9Vevf79TknS1IGd9bs2DU1OBAAAAOB8UKQDAAAAdWDpT4f05OebJUkTr2qjW5LjTU4EAAAA4HxRpAMAAAC1bF3WUd3/4Tq5DOm27vG6/4pWZkcCAAAAcAEo0gEAAIBatPvIcY2em66TZS5d3rahnhnQSRaLxexYAAAAAC4ARToAAABQS44UlWj47DXKP16qzo3tmj64m/ytfAQHAAAAPA2f4gEAAIBaUFxarlFz0rQ3r1jxkcGaNby7Qm3+ZscCAAAAUA0U6QAAAEANK3e6dP8H67Vhn0P1QwI0Z0QPNQyzmR0LAAAAQDVRpAMAAAA1yDAMPfHFFv1ra65s/n6aOSxZLRvWMzsWAAAAgN+AIh0AAACoQa9/v1MfrM6SxSL9322JSmoWaXYkAAAAAL8RRToAAABQQz5dt08vfLNNkjT5+o7q1ynW5EQAAAAAagJFOgAAAFADftx+RA99vFGSdNfvWmhY7wRzAwEAAACoMRTpAAAAwG/004ECjX1vrcpdhq7vGqeH+7UzOxIAAACAGkSRDgAAAPwGB46d0Ig5a1RUUq6ezSP14i1d5OdnMTsWAAAAgBpEkQ4AAABUk+NEmYbPXqNDBSVqE1NPbw9Nls3fanYsAAAAADWMIh0AAACohpJyp+56N10/HypSTLhNs0f0kD04wOxYAAAAAGoBRToAAABwgVwuQw9+tFGrduWrns1fs4f3UOP6wWbHAgAAAFBLKNIBAACAC/TcN1v1zw0H5O9n0Zt3JqlDXLjZkQAAAADUIop0AAAA4ALMXblHby3bJUl6/uYuuqR1lMmJAAAAANQ2jynSjx49qiFDhshut8tut2vIkCE6duxYldsYhqHJkycrLi5OwcHBuuyyy7Rly5aK5/Pz83X//ferbdu2CgkJUdOmTTVu3Dg5HI5a3hsAAAB4osWbczT5n6c+T/756rYa2K2JyYkAAAAA1AWPKdIHDx6sjIwMLV68WIsXL1ZGRoaGDBlS5TbPP/+8XnrpJU2fPl1paWmKjY3VVVddpcLCQknSgQMHdODAAb344ovatGmT5syZo8WLF2vUqFF1sUsAAADwIGv3HtUD89fLMKTBPZvqnstamh0JAAAAQB2xGIZhmB3i12RmZqpDhw5atWqVevbsKUlatWqVevXqpa1bt6pt27ZnbGMYhuLi4jR+/Hg9/PDDkqSSkhLFxMToueee01133XXW7/XRRx/pzjvv1PHjx+Xv739e+QoKCmS32+VwOBQezviYAICqcdxwT/xcUJVdh4t00xsrdbS4TL9vF623hiTJ3+ox16QAqAUcNwAA8C0e8ek/NTVVdru9okSXpIsvvlh2u10rV6486za7d+9WTk6OUlJSKpbZbDZdeuml59xGUsWHoKpK9JKSEhUUFFR6AAAAwDsdLizRsNlrdLS4TF2b2PXq4ERKdAAAAMDHeMQZQE5OjqKjo89YHh0drZycnHNuI0kxMTGVlsfExJxzm7y8PP31r38959Xqp02dOrVirHa73a74+Pjz2Q0AAAB4mOLSco2am6bs/BNqGhmimcO7KyTw/O5aBAAAAOA9TC3SJ0+eLIvFUuUjPT1dkmSxWM7Y3jCMsy7/b//7/Lm2KSgo0LXXXqsOHTroySefrPI1J02aJIfDUfHIzs7+tV0FAACAhyl3unTfB+u1cZ9DESEBmjuyh6Lq2cyOBQAAAMAEpl5Oc9999+m2226rcp2EhARt3LhRhw4dOuO5w4cPn3HF+WmxsbGSTl2Z3qhRo4rlubm5Z2xTWFiofv36qV69elq4cKECAgKqzGSz2WSzcRIFAADgrQzD0F8+36x/b82Vzd9PM4d3V/OoULNjAQAAADCJqUV6VFSUoqKifnW9Xr16yeFwaM2aNerRo4ckafXq1XI4HOrdu/dZt2nevLliY2O1dOlSJSYmSpJKS0u1bNkyPffccxXrFRQU6Oqrr5bNZtMXX3yhoKCgGtgzAAAAeLLXvtuhD9dky88ivXp7oro1jTA7EgAAAAATecQY6e3bt1e/fv00ZswYrVq1SqtWrdKYMWN03XXXqW3bthXrtWvXTgsXLpR0akiX8ePHa8qUKVq4cKE2b96s4cOHKyQkRIMHD5Z06kr0lJQUHT9+XDNnzlRBQYFycnKUk5Mjp9Npyr4CAADAXB+v3acXl/wsSZp8Q0eldIw1OREAAAAAs3nMTEnvv/++xo0bp5SUFEnSDTfcoOnTp1daZ9u2bXI4HBVfP/TQQzpx4oTuueceHT16VD179tSSJUsUFhYmSVq7dq1Wr14tSWrVqlWl19q9e7cSEhJqcY8AAADgbpZvP6xHPtkoSRp7aUsN7ZVgbiAAAAAAbsFiGIZhdghPV1BQILvdLofDofDwcLPjAADcHMcN98TPBVsOODTorVUqKinXjRfF6eVbL5KfX9UT2wPwXRw3AADwLR4xtAsAAABQm/YdLdaI2WkqKilXrxYN9PzNXSjRAQAAAFSgSAcAAIBPcxSXafjsNOUWlqhtTJjeHJIkm7/V7FgAAAAA3AhFOgAAAHzWyTKnxrybrh25RYoND9LsEd1lDw4wOxYAAAAAN0ORDgAAAJ/kchn600cbtGZ3vsJs/pozsrvi6gebHQsAAACAG6JIBwAAgE+a+nWmvtp4UAFWi94akqR2sUwWCAAAAODsKNIBAADgc2b9uFszlu+WJL1wc1f1bhVlciIAAAAA7owiHQAAAD7l600H9devfpIkPdSvrQYkNjY5EQAAAAB3R5EOAAAAn5G+J18PLMiQYUh3XtxUd1/a0uxIAAAAADwARToAAAB8wo7cIo2el67ScpeubB+jp27oJIvFYnYsAAAAAB6AIh0AAABeL7fwpIbPXqNjxWW6KL6+Xr09UVY/SnQAAAAA54ciHQAAAF7teEm5Rs5J076jJ5TQIEQzhyUrONBqdiwAAAAAHoQiHQAAAF6rzOnSPe+v0+b9BYoMDdScET3UoJ7N7FgAAAAAPAxFOgAAALySYRh6fOFmLfv5sIIC/DRzWLISokLNjgUAAADAA1GkAwAAwCtN+9cOLUjPlp9Fmn57NyU2jTA7EgAAAAAPRZEOAAAAr/OP9Gy9/O3PkqS/DuikKzvEmJwIAAAAgCejSAcAAIBX+ffWQ5r06SZJ0r2Xt9QdPZuZnAgAAACAp6NIBwAAgNdYl3VU97y/Tk6XoYHdGuvBlLZmRwIAAADgBSjSAQAA4BV25BZp5Jw0nSxz6bK2DfXcTV1ksVjMjgUAAADAC1CkAwAAwOPlOE5q2Kw1OlZcpq7x9fX6Hd0UYOWjLgAAAICawdkFAAAAPJrjRJmGzVqj/cdOqEVUqGYP766QQH+zYwEAAADwIhTpAAAA8Fgny5waMy9d2w4VqmGYTXNH9lBkaKDZsQAAAAB4GYp0AAAAeCSny9D4+RlasztfYTZ/zR3RQ/GRIWbHAgAAAOCFKNIBAADgcQzD0JNfbNbiLTkKtPrp7aHJ6hAXbnYsAAAAAF6KIv3/27vz6KjKPP/jn8oeJKnIkgpptqiZBFzYA4k60CIBulGmcY5i7BDAxvhDWoLT0iBjd+weiXJ6kMb0j3YLixunlcHR/o0MmWbEPoZsmLBEFoEosSVEBCphS0jy/P6gqWNIKIJUcqtS79c59Ufdep7r9z55zvmmPl5uAAAA4HNe3HJAbxQels0mrZg+VMk39rS6JAAAAABdGEE6AAAAfMrbxYe1PH+/JOmZe2/Wj27tY3FFAAAAALo6gnQAAAD4jM0V1VqycZckad4Pb9KM5IHWFgQAAADALxCkAwAAwCeUfnFcP3+7TM1GemBkP/1L6j9YXRIAAAAAP0GQDgAAAK+3/2idZq8pUX1js+4eFK1nf3KLbDab1WUBAAAA8BME6QAAAPBqX588q4y8YtWea9Tw/lF68cHhCgrk11gAAAAAnYdvIAAAAPBaJ880aEZesY44z+mm6O7KmzlK4SGBVpcFAAAAwM8QpAMAAMArnW1o0sNrS3Wg5pRiIsO0dnaSorqFWF0WAAAAAD9EkA4AAACv09jUrJ+/XabtX55QZFiQ1s5O0g+iwq0uCwAAAICfIkgHAACAVzHG6F/f263/2XNUIUEBejVjlBJiIqwuCwAAAIAfI0gHAACAV3khf7/Wl1QpwCa9+OAwJcX1sLokAAAAAH6OIB0AAABe4/XCL7VyywFJ0r/9062aeHOMxRUBAAAAAEE6AAAAvMSHu47oV/+5W5KUdXe80kb3t7giAAAAALiAIB0AAACWKzz0reavL5cxUtro/po/Pt7qkgAAAADAhSAdAAAAltpzpFZz1paqoalZE2926LdTb5HNZrO6LAAAAABwIUgHAACAZaqOn1FGXrHq6huVNLCHfj99mAIDCNEBAAAAeBeCdAAAAFji+OkGZeQVq6auXgmOCL2SMVJhwYFWlwUAAAAArRCkAwAAoNOdaWjUrDUlOnTstGLtYVoze5Ts4cFWlwUAAAAAbSJIBwAAQKc639Ssx978VDuqTiqqW7DWPZykPvZwq8sCAAAAgMsiSAcAAECnMcZo0YZd+t993ygsOECvZYzSTdERVpcFAAAAAG4RpAMAAKDTLPvvfdrw6VcKDLDpD2nDNWLA9VaXBAAAAABXRJAOAACATrH6k0qt+uigJCln2q0aP8hhcUUAAAAA0D4E6QAAAOhwH+z4Wr/582eSpCcnJuj+kf0srggAAAAA2o8gHQAAAB3qkwPH9MSfymWMlJE8QHPH3Wh1SQAAAABwVQjSAQAA0GF2/82pzNe363yT0Y9v7aNf3XOzbDab1WUBAAAAwFUhSAcAAJb6+OOPdc899yg2NlY2m03vvfdei8+NMcrOzlZsbKzCw8M1btw4VVRUtHkuY4wmT57c5nnQ+Q5/e0YzV5foVH2jkm/oqeUPDFFgACE6AAAAAN9DkA4AACx1+vRpDRkyRLm5uW1+vmzZMi1fvly5ubkqKSlRTEyMJkyYoLq6ulZjV6xYwd3OXuLYqXrNyCvSsVP1GtQnUi/NGKHQoECrywIAAACA7yXI6gIAAIB/mzx5siZPntzmZ8YYrVixQkuWLNG0adMkSWvXrpXD4dBbb72lzMxM19gdO3Zo+fLlKikpUZ8+fTqldrTtdH2jZq0u0RffnlHf68O1dtYoRYYFW10WAAAAAHxv3JEOAAC8VmVlpaqrq5Wamuo6FhoaqrFjx6qgoMB17MyZM3rwwQeVm5urmJiYdp27vr5etbW1LV64dg2NzXr0je3a9TenelwXonWzkxQdGWZ1WQAAAABwTQjSAQCA16qurpYkORyOFscdDofrM0lasGCBUlJSNHXq1HafOycnR3a73fXq16+fZ4r2Y83NRgvf3aG/fn5M4cGByps5Sjf07m51WQAAAABwzQjSAQCA17v0uefGGNex999/X1u2bNGKFSuu6pyLFy+W0+l0vaqqqjxVrt/K+XCP3iv/WkEBNq366XAN7RdldUkAAAAA4BEE6QAAwGtdfEzLd+8+l6SamhrXXepbtmzRwYMHFRUVpaCgIAUFXfgTMPfdd5/GjRt32XOHhoYqMjKyxQvf3ysfH9Irf62UJC3759s0LiHa4ooAAAAAwHMI0gEAgNeKi4tTTEyM8vPzXccaGhq0detWpaSkSJIWLVqknTt3qry83PWSpBdeeEGrV6+2omy/s7HsKz37X3skSYsnJ2ra8L4WVwQAAAAAnhVkdQE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