{ "cells": [ { "cell_type": "markdown", "metadata": { "tags": [] }, "source": [ "# Missing Contacts\n", "You might find that some contacts that you were **expecting** to be found by ``mdciao`` don't actually show up in ``mdciao``'s results. Several input parameters control the contact reporting of ``mdciao``, and it might not be obvious which one of them (if any) is actually *hiding* your contact. The logic behind these parameters, and their default values, is fairly straightforward, and we illustrate it here.\n", "\n", "\n", "If you want to run this notebook on your own, please download and extract the data from [here](http://proteinformatics.org/mdciao/mdciao_example.zip) first. You can download it:\n", "\n", "* using the browser \n", "* using the terminal with \n", " ```wget http://proteinformatics.org/mdciao/mdciao_example.zip; unzip mdciao_example.zip```\n", "* using mdciao's own method [mdciao.examples.fetch_example_data](http://proteinformatics.uni-leipzig.de/mdciao/api/generated/generated/mdciao.examples.fetch_example_data.html?highlight=fetch)\n", "\n", "If you want to take a 3D-look at this data, you can do it [here](http://proteinformatics.uni-leipzig.de/mdsrv.html?load=file://base/mdciao/gs-b2ar.ngl)." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## `ctc_cutoff_Ang`\n", "This is the most obvious parameter that controls the contact computation. It appears virtually in all methods (CLI or API) that compute contact frequencies. Whenever it has a default value, it is **4.5 Angstrom**.\n", "\n", "
\n", " \n", "Note \n", " \n", "Please see the *note of caution* on the use of hard cutoffs in the [main page of the docs](https://proteinformatics.uni-leipzig.de/mdciao/index.html).\n", "\n", "
" ] }, { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [], "source": [ "import mdciao, os\n", "if not os.path.exists(\"mdciao_example\"):\n", " mdciao.examples.fetch_example_data()" ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [], "source": [ "import mdtraj as md\n", "traj = md.load(\"mdciao_example/traj.xtc\",top=\"mdciao_example/top.pdb\")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "First, we individually call [mdciao.cli.residue_neighborhoods](https://proteinformatics.uni-leipzig.de/mdciao/api/generated/generated/mdciao.cli.residue_neighborhoods.html) with two ``ctc_cutoff_Ang`` values, 3.0, 3.5, and 4.0 Angstrom. This will generate three frequency reports which we will later compare with [mdciao.cli.compare](https://proteinformatics.uni-leipzig.de/mdciao/api/generated/generated/mdciao.cli.compare.html). Please refer to those methods if their function calls aren't entirely clear to you.\n" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "
\n", " \n", "Note \n", " \n", "We are hiding the outputs with the use of the [`%%capture` magic](https://ipython.readthedocs.io/en/stable/interactive/magics.html#cellmagic-capture).\n", "\n", "
" ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [], "source": [ "%%capture\n", "for ctc_cutoff_Ang in [3, 3.5, 4.0, 4.5, 5.0]:\n", " mdciao.cli.residue_neighborhoods(\"L394\",traj, \n", " short_AA_names=True,\n", " ctc_cutoff_Ang=ctc_cutoff_Ang,\n", " figures=False, \n", " fragment_names=None,\n", " #ctc_control=1.0,\n", " no_disk=False)[353]" ] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "These interactions are not shared:\n", "I233, L230, R385\n", "Their cumulative ctc freq is 8.00. \n", "Created files\n", "freq_comparison.pdf\n", "freq_comparison.xlsx\n" ] }, { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "mdciao.cli.compare({\n", " \"ctc_cutoff_Ang = 5.0 AA\" : \"neighborhood.LEU394@5.0_Ang.dat\",\n", " \"ctc_cutoff_Ang = 4.5 AA\" : \"neighborhood.LEU394@4.5_Ang.dat\",\n", " \"ctc_cutoff_Ang = 4.0 AA\" : \"neighborhood.LEU394@4.0_Ang.dat\",\n", " \"ctc_cutoff_Ang = 3.5 AA\" : \"neighborhood.LEU394@3.5_Ang.dat\",\n", " \"ctc_cutoff_Ang = 3.0 AA\" : \"neighborhood.LEU394@3.0_Ang.dat\",\n", " },\n", " anchor=\"L394\",\n", " title=\"Cutoff comparison\");" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "We observe that the smaller the cutoff, the fewer contacts get reported. In this case ``L230``, ``R385``, and ``I233`` never approach ``L394`` at distances smaller than 3.0 Angstrom during in the entire simulation, hence they don't get reported (they don't get any purple-bars). As for ``K270``, the frequency doesn't change very much, because it's a salt-bridge that's really either formed at very close distance or broken at higher distances, as can be seen in this [time-trace figure](https://proteinformatics.uni-leipzig.de/mdciao/_images/banner.png). Also notice that, the higher the cutoff, the higher the sum over bars, $\\Sigma$, since the height of the bars has increased." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## `ctc_control`\n", "Even when using the same ``ctc_cutoff_Ang``, there's other ways of controlling what gets reported. ``ctc_control`` is one of them. This parameter controls **how many** residues get reported per neighborhood, since usually one is not interested in **all** residues but only the most frequent ones.\n", "\n", "### Controlling with integers\n", "One way to control this is to select only the first *n* frequent ones (*n* is an integer and is **6** by default). Here we do the comparison again, but withoug hiding the output s.t. you can see the contact list grow." ] }, { "cell_type": "code", "execution_count": 5, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Will compute contact frequencies for (1 items):\n", "\n", " with a stride of 1 frames\n", "Using method 'lig_resSeq+' these fragments were found\n", "fragment 0 with 354 AAs LEU4 ( 0) - LEU394 (353 ) (0) resSeq jumps\n", "fragment 1 with 340 AAs GLN1 ( 354) - ASN340 (693 ) (1)\n", "fragment 2 with 66 AAs ALA2 ( 694) - PHE67 (759 ) (2)\n", "fragment 3 with 283 AAs GLU30 ( 760) - LEU340 (1042) (3) resSeq jumps\n", "fragment 4 with 1 AAs P0G395 (1043) - P0G395 (1043) (4)\n", "\n", "Will compute neighborhoods for the residues\n", "L394\n", "excluding 4 nearest neighbors\n", "\n", " residue residx fragment resSeq\n", " LEU394 353 0 394\n", "\n", "Performing a first pass on 1039 residue pairs to compute lower bounds on residue-residue distances via residue-COM distances:\n" ] }, { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "94a7917a6087456b8cbbf2aa39e9c905", "version_major": 2, "version_minor": 0 }, "text/plain": [ "HTML(value='')" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "24e1cfc938474b499c796058311153cd", "version_major": 2, "version_minor": 0 }, "text/plain": [ "Textarea(value='Processing trajectories: 0/1 [ 0%]. Frames processed: 0. Elapsed time: hh:mm:ss. Remai…" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "\n", "Reduced to only 43 residue pairs for the computation of actual residue-residue distances:\n" ] }, { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "eff5257ee8d242f9ab1134c5cbc35607", "version_major": 2, "version_minor": 0 }, "text/plain": [ "HTML(value='')" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "765fa25826934966ba3c2a4bf9455814", "version_major": 2, "version_minor": 0 }, "text/plain": [ "Textarea(value='Processing trajectories: 0/1 [ 0%]. Frames processed: 0. Elapsed time: hh:mm:ss. Remai…" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "\n", "\n", "L394:\n", "The following 4 contacts capture 3.94 (~72%) of the total frequency 5.43 (over 9 contacts with nonzero frequency at 4.50 Angstrom).\n", "As orientation value, the first 6 ctcs already capture 90.0% of 5.43.\n", "The 6-th contact has a frequency of 0.52.\n", " freq label residues fragments sum\n", "1 1.00 L394 - L388 353 - 347 0 - 0 1.00\n", "2 1.00 L394 - R389 353 - 348 0 - 0 2.00\n", "3 0.97 L394 - L230 353 - 957 0 - 3 2.97\n", "4 0.97 L394 - R385 353 - 344 0 - 0 3.94\n", "The following files have been created:\n", "./neighborhood.ctc_control_4.LEU394@4.5_Ang.dat\n", "Will compute contact frequencies for (1 items):\n", "\n", " with a stride of 1 frames\n", "Using method 'lig_resSeq+' these fragments were found\n", "fragment 0 with 354 AAs LEU4 ( 0) - LEU394 (353 ) (0) resSeq jumps\n", "fragment 1 with 340 AAs GLN1 ( 354) - ASN340 (693 ) (1)\n", "fragment 2 with 66 AAs ALA2 ( 694) - PHE67 (759 ) (2)\n", "fragment 3 with 283 AAs GLU30 ( 760) - LEU340 (1042) (3) resSeq jumps\n", "fragment 4 with 1 AAs P0G395 (1043) - P0G395 (1043) (4)\n", "\n", "Will compute neighborhoods for the residues\n", "L394\n", "excluding 4 nearest neighbors\n", "\n", " residue residx fragment resSeq\n", " LEU394 353 0 394\n", "\n", "Performing a first pass on 1039 residue pairs to compute lower bounds on residue-residue distances via residue-COM distances:\n" ] }, { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "fa8bdb52c1e04d4c9aaf003a125b3959", "version_major": 2, "version_minor": 0 }, "text/plain": [ "HTML(value='')" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "a3a0e5fb0f2d487c933734b9b5f377fe", "version_major": 2, "version_minor": 0 }, "text/plain": [ "Textarea(value='Processing trajectories: 0/1 [ 0%]. Frames processed: 0. Elapsed time: hh:mm:ss. Remai…" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "\n", "Reduced to only 43 residue pairs for the computation of actual residue-residue distances:\n" ] }, { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "8e226fd4c64a41129170e9a6b4a8d4dc", "version_major": 2, "version_minor": 0 }, "text/plain": [ "HTML(value='')" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "9122ffbf95c64a0aade16bd7d5d245b0", "version_major": 2, "version_minor": 0 }, "text/plain": [ "Textarea(value='Processing trajectories: 0/1 [ 0%]. Frames processed: 0. Elapsed time: hh:mm:ss. Remai…" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "\n", "\n", "L394:\n", "The following 5 contacts capture 4.74 (~87%) of the total frequency 5.43 (over 9 contacts with nonzero frequency at 4.50 Angstrom).\n", "As orientation value, the first 6 ctcs already capture 90.0% of 5.43.\n", "The 6-th contact has a frequency of 0.52.\n", " freq label residues fragments sum\n", "1 1.00 L394 - L388 353 - 347 0 - 0 1.00\n", "2 1.00 L394 - R389 353 - 348 0 - 0 2.00\n", "3 0.97 L394 - L230 353 - 957 0 - 3 2.97\n", "4 0.97 L394 - R385 353 - 344 0 - 0 3.94\n", "5 0.80 L394 - I233 353 - 960 0 - 3 4.74\n", "The following files have been created:\n", "./neighborhood.ctc_control_5.LEU394@4.5_Ang.dat\n", "Will compute contact frequencies for (1 items):\n", "\n", " with a stride of 1 frames\n", "Using method 'lig_resSeq+' these fragments were found\n", "fragment 0 with 354 AAs LEU4 ( 0) - LEU394 (353 ) (0) resSeq jumps\n", "fragment 1 with 340 AAs GLN1 ( 354) - ASN340 (693 ) (1)\n", "fragment 2 with 66 AAs ALA2 ( 694) - PHE67 (759 ) (2)\n", "fragment 3 with 283 AAs GLU30 ( 760) - LEU340 (1042) (3) resSeq jumps\n", "fragment 4 with 1 AAs P0G395 (1043) - P0G395 (1043) (4)\n", "\n", "Will compute neighborhoods for the residues\n", "L394\n", "excluding 4 nearest neighbors\n", "\n", " residue residx fragment resSeq\n", " LEU394 353 0 394\n", "\n", "Performing a first pass on 1039 residue pairs to compute lower bounds on residue-residue distances via residue-COM distances:\n" ] }, { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "013b23c8ecde4195a8e67199973794ec", "version_major": 2, "version_minor": 0 }, "text/plain": [ "HTML(value='')" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "e6926c5ab95a4522b8068013aec49155", "version_major": 2, "version_minor": 0 }, "text/plain": [ "Textarea(value='Processing trajectories: 0/1 [ 0%]. Frames processed: 0. Elapsed time: hh:mm:ss. Remai…" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "\n", "Reduced to only 43 residue pairs for the computation of actual residue-residue distances:\n" ] }, { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "16d5a897ad704060ae11c1268e7000e5", "version_major": 2, "version_minor": 0 }, "text/plain": [ "HTML(value='')" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "609cecc476274f979bd6fab2b87be65d", "version_major": 2, "version_minor": 0 }, "text/plain": [ "Textarea(value='Processing trajectories: 0/1 [ 0%]. Frames processed: 0. Elapsed time: hh:mm:ss. Remai…" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "\n", "\n", "L394:\n", "The following 6 contacts capture 5.26 (~97%) of the total frequency 5.43 (over 9 contacts with nonzero frequency at 4.50 Angstrom).\n", "As orientation value, the first 6 ctcs already capture 90.0% of 5.43.\n", "The 6-th contact has a frequency of 0.52.\n", " freq label residues fragments sum\n", "1 1.00 L394 - L388 353 - 347 0 - 0 1.00\n", "2 1.00 L394 - R389 353 - 348 0 - 0 2.00\n", "3 0.97 L394 - L230 353 - 957 0 - 3 2.97\n", "4 0.97 L394 - R385 353 - 344 0 - 0 3.94\n", "5 0.80 L394 - I233 353 - 960 0 - 3 4.74\n", "6 0.52 L394 - K270 353 - 972 0 - 3 5.26\n", "The following files have been created:\n", "./neighborhood.ctc_control_6.LEU394@4.5_Ang.dat\n", "Will compute contact frequencies for (1 items):\n", "\n", " with a stride of 1 frames\n", "Using method 'lig_resSeq+' these fragments were found\n", "fragment 0 with 354 AAs LEU4 ( 0) - LEU394 (353 ) (0) resSeq jumps\n", "fragment 1 with 340 AAs GLN1 ( 354) - ASN340 (693 ) (1)\n", "fragment 2 with 66 AAs ALA2 ( 694) - PHE67 (759 ) (2)\n", "fragment 3 with 283 AAs GLU30 ( 760) - LEU340 (1042) (3) resSeq jumps\n", "fragment 4 with 1 AAs P0G395 (1043) - P0G395 (1043) (4)\n", "\n", "Will compute neighborhoods for the residues\n", "L394\n", "excluding 4 nearest neighbors\n", "\n", " residue residx fragment resSeq\n", " LEU394 353 0 394\n", "\n", "Performing a first pass on 1039 residue pairs to compute lower bounds on residue-residue distances via residue-COM distances:\n" ] }, { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "4ae044e34d9d49b4becf9bb0c9c5f90b", "version_major": 2, "version_minor": 0 }, "text/plain": [ "HTML(value='')" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "a1c3f4920d6349918a8e3ed472354ae0", "version_major": 2, "version_minor": 0 }, "text/plain": [ "Textarea(value='Processing trajectories: 0/1 [ 0%]. Frames processed: 0. Elapsed time: hh:mm:ss. Remai…" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "\n", "Reduced to only 43 residue pairs for the computation of actual residue-residue distances:\n" ] }, { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "783e73c323924e2a970dc0cffa410f7a", "version_major": 2, "version_minor": 0 }, "text/plain": [ "HTML(value='')" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "d1c31f7a3bb54ba78051cfe6017c51b1", "version_major": 2, "version_minor": 0 }, "text/plain": [ "Textarea(value='Processing trajectories: 0/1 [ 0%]. Frames processed: 0. Elapsed time: hh:mm:ss. Remai…" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "\n", "\n", "L394:\n", "The following 7 contacts capture 5.39 (~99%) of the total frequency 5.43 (over 9 contacts with nonzero frequency at 4.50 Angstrom).\n", "As orientation value, the first 6 ctcs already capture 90.0% of 5.43.\n", "The 6-th contact has a frequency of 0.52.\n", " freq label residues fragments sum\n", "1 1.00 L394 - L388 353 - 347 0 - 0 1.00\n", "2 1.00 L394 - R389 353 - 348 0 - 0 2.00\n", "3 0.97 L394 - L230 353 - 957 0 - 3 2.97\n", "4 0.97 L394 - R385 353 - 344 0 - 0 3.94\n", "5 0.80 L394 - I233 353 - 960 0 - 3 4.74\n", "6 0.52 L394 - K270 353 - 972 0 - 3 5.26\n", "7 0.13 L394 - K267 353 - 969 0 - 3 5.39\n", "The following files have been created:\n", "./neighborhood.ctc_control_7.LEU394@4.5_Ang.dat\n", "Will compute contact frequencies for (1 items):\n", "\n", " with a stride of 1 frames\n", "Using method 'lig_resSeq+' these fragments were found\n", "fragment 0 with 354 AAs LEU4 ( 0) - LEU394 (353 ) (0) resSeq jumps\n", "fragment 1 with 340 AAs GLN1 ( 354) - ASN340 (693 ) (1)\n", "fragment 2 with 66 AAs ALA2 ( 694) - PHE67 (759 ) (2)\n", "fragment 3 with 283 AAs GLU30 ( 760) - LEU340 (1042) (3) resSeq jumps\n", "fragment 4 with 1 AAs P0G395 (1043) - P0G395 (1043) (4)\n", "\n", "Will compute neighborhoods for the residues\n", "L394\n", "excluding 4 nearest neighbors\n", "\n", " residue residx fragment resSeq\n", " LEU394 353 0 394\n", "\n", "Performing a first pass on 1039 residue pairs to compute lower bounds on residue-residue distances via residue-COM distances:\n" ] }, { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "3fe2276072d54271a5eb4683c62b70a6", "version_major": 2, "version_minor": 0 }, "text/plain": [ "HTML(value='')" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "4e6708aad4554c45bba9525caf345eb0", "version_major": 2, "version_minor": 0 }, "text/plain": [ "Textarea(value='Processing trajectories: 0/1 [ 0%]. Frames processed: 0. Elapsed time: hh:mm:ss. Remai…" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "\n", "Reduced to only 43 residue pairs for the computation of actual residue-residue distances:\n" ] }, { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "acf50af7748b43789b87cc63bb63ac0a", "version_major": 2, "version_minor": 0 }, "text/plain": [ "HTML(value='')" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "d6c2a57b1d79467d9149b48d55116818", "version_major": 2, "version_minor": 0 }, "text/plain": [ "Textarea(value='Processing trajectories: 0/1 [ 0%]. Frames processed: 0. Elapsed time: hh:mm:ss. Remai…" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "\n", "\n", "L394:\n", "The following 8 contacts capture 5.41 (~100%) of the total frequency 5.43 (over 9 contacts with nonzero frequency at 4.50 Angstrom).\n", "As orientation value, the first 6 ctcs already capture 90.0% of 5.43.\n", "The 6-th contact has a frequency of 0.52.\n", " freq label residues fragments sum\n", "1 1.00 L394 - L388 353 - 347 0 - 0 1.00\n", "2 1.00 L394 - R389 353 - 348 0 - 0 2.00\n", "3 0.97 L394 - L230 353 - 957 0 - 3 2.97\n", "4 0.97 L394 - R385 353 - 344 0 - 0 3.94\n", "5 0.80 L394 - I233 353 - 960 0 - 3 4.74\n", "6 0.52 L394 - K270 353 - 972 0 - 3 5.26\n", "7 0.13 L394 - K267 353 - 969 0 - 3 5.39\n", "8 0.02 L394 - Q229 353 - 956 0 - 3 5.41\n", "The following files have been created:\n", "./neighborhood.ctc_control_8.LEU394@4.5_Ang.dat\n", "These interactions are not shared:\n", "I233, K267, K270, Q229\n", "Their cumulative ctc freq is 5.04. \n", "Created files\n", "freq_comparison.pdf\n", "freq_comparison.xlsx\n" ] }, { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "#%%capture\n", "ctc_controls = [4,5,6,7,8]\n", "for ctc_control in ctc_controls:\n", " mdciao.cli.residue_neighborhoods(\"L394\",traj, \n", " short_AA_names=True,\n", " ctc_control=ctc_control,\n", " figures=False, \n", " fragment_names=None,\n", " no_disk=False,\n", " output_desc='neighborhood.ctc_control_%u'%ctc_control)\n", "mdciao.cli.compare({\"ctc-control = %u\"%key : \"neighborhood.ctc_control_%u.LEU394@4.5_Ang.dat\"%(key)\n", " for key in ctc_controls},\n", " anchor=\"L394\",\n", " title=\"ctc-control comparison\");" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "*n* is simply the number of reported bars: four blue ones, five orange ones, six green ones, seven red ones and eight purple ones. $\\Sigma$ is just the sum of the heights of all bars and is thus an estimate of the **average number of neighbors** that are being reported (at this cutoff). A couple of observations:\n", "\n", "\n", "* The relation of $\\Sigma$ with *n* is straightforward: as *n* grows, so does $\\Sigma$, although it grows slower with each *n* until it barely changes, given that the last bars it sums over are negligible. In other words, summing over the last purple bar (barely visible) for ``Q229`` doesn't really change $\\Sigma$ much.\n", "\n", "\n", "* Hence, for a fixed cutoff, there's an upper bond to $\\Sigma$ ($\\Sigma\\leq\\Sigma_t$), because the **total average number of neighbors**, $\\Sigma_t$, of a given residue, over a given dataset, is determined by the used cutoff only. The ``ctc_control`` parameter simply determines how many neighbors get actually reported.\n", "\n", "\n", "* Please note that for very small datasets, like one single pdb file, the word *frequency* doesn't really have a defined meaning, so that, for this cases, it is better to use ``ctc_control=1.0`` (more on this below).\n", "\n", "\n", "* In cases where ``mdciao`` is used to look for the neighborhood of just one residue, there's a sensible number of residues to choose (somewhere between 5 and 10), because *usually* that's how many interactions a residue will have (please note, this doesn't necessary hold for elongated ligands, lipids, acid chains etc).\n", "\n", "``mdciao`` writes out the percentage of $\\Sigma_t$ captured by the reported contacts, so that the user can decide whether to increase *n* or not. For each of the iterations above, here are terminal-output reporting precisely that:\n", "\n", "* ``ctc_control = 4``\n", " ```\n", "The following 4 contacts capture 3.94 (~72%) of the total frequency 5.43 (over 9 contacts with nonzero frequency at 4.50 Angstrom).\n", "As orientation value, the first 6 ctcs already capture 90.0% of 5.43.\n", "The 6-th contact has a frequency of 0.52.\n", " freq label residues fragments sum\n", "1 1.00 L394 - L388 353 - 347 0 - 0 1.00\n", "2 1.00 L394 - R389 353 - 348 0 - 0 2.00\n", "3 0.97 L394 - L230 353 - 957 0 - 3 2.97\n", "4 0.97 L394 - R385 353 - 344 0 - 0 3.94\n", " ```\n", " The intention is to report how much of $\\Sigma_t$ has been captured using 3 contacts (~72%), and how many would be needed to capture most (90%) of it (6 contacts). The actual value $\\Sigma_t$ is reported immediately after (*total frequency 5.43*). You will notice that the value 5.43 doesn't change as we increase *n* in the reports below. The *9 contacts with nonzero frequency at 4.50 Angstrom* is just telling that only 9 residue-pairs were closer than distance the distance cutoff in at least %1 of the data (see the parameter `min_freq=0.01`).\n", " \n", " So, as we increase *n*, the listed contacts grows and the reported *percentage* grows, but all the rest stays the same\n", " \n", "* ``ctc_control = 5``\n", " ```\n", "The following 5 contacts capture 4.74 (~87%) of the total frequency 5.43 (over 9 contacts with nonzero frequency at 4.50 Angstrom).\n", "As orientation value, the first 6 ctcs already capture 90.0% of 5.43.\n", "The 6-th contact has a frequency of 0.52.\n", " freq label residues fragments sum\n", "1 1.00 L394 - L388 353 - 347 0 - 0 1.00\n", "2 1.00 L394 - R389 353 - 348 0 - 0 2.00\n", "3 0.97 L394 - L230 353 - 957 0 - 3 2.97\n", "4 0.97 L394 - R385 353 - 344 0 - 0 3.94\n", "5 0.80 L394 - I233 353 - 960 0 - 3 4.74\n", " ```\n", " \n", "* ``ctc_control = 6``\n", " ```\n", "The following 6 contacts capture 5.26 (~97%) of the total frequency 5.43 (over 9 contacts with nonzero frequency at 4.50 Angstrom).\n", "As orientation value, the first 6 ctcs already capture 90.0% of 5.43.\n", "The 6-th contact has a frequency of 0.52.\n", " freq label residues fragments sum\n", "1 1.00 L394 - L388 353 - 347 0 - 0 1.00\n", "2 1.00 L394 - R389 353 - 348 0 - 0 2.00\n", "3 0.97 L394 - L230 353 - 957 0 - 3 2.97\n", "4 0.97 L394 - R385 353 - 344 0 - 0 3.94\n", "5 0.80 L394 - I233 353 - 960 0 - 3 4.74\n", "6 0.52 L394 - K270 353 - 972 0 - 3 5.26\n", " ```\n", " \n", "* ``ctc_control = 7``\n", " ```\n", "The following 7 contacts capture 5.39 (~99%) of the total frequency 5.43 (over 9 contacts with nonzero frequency at 4.50 Angstrom).\n", "As orientation value, the first 6 ctcs already capture 90.0% of 5.43.\n", "The 6-th contact has a frequency of 0.52.\n", " freq label residues fragments sum\n", "1 1.00 L394 - L388 353 - 347 0 - 0 1.00\n", "2 1.00 L394 - R389 353 - 348 0 - 0 2.00\n", "3 0.97 L394 - L230 353 - 957 0 - 3 2.97\n", "4 0.97 L394 - R385 353 - 344 0 - 0 3.94\n", "5 0.80 L394 - I233 353 - 960 0 - 3 4.74\n", "6 0.52 L394 - K270 353 - 972 0 - 3 5.26\n", "7 0.13 L394 - K267 353 - 969 0 - 3 5.39\n", " ```\n", "\n", "* ``ctc_control = 8``\n", " ```\n", "The following 8 contacts capture 5.41 (~100%) of the total frequency 5.43 (over 9 contacts with nonzero frequency at 4.50 Angstrom).\n", "As orientation value, the first 6 ctcs already capture 90.0% of 5.43.\n", "The 6-th contact has a frequency of 0.52.\n", " freq label residues fragments sum\n", "1 1.00 L394 - L388 353 - 347 0 - 0 1.00\n", "2 1.00 L394 - R389 353 - 348 0 - 0 2.00\n", "3 0.97 L394 - L230 353 - 957 0 - 3 2.97\n", "4 0.97 L394 - R385 353 - 344 0 - 0 3.94\n", "5 0.80 L394 - I233 353 - 960 0 - 3 4.74\n", "6 0.52 L394 - K270 353 - 972 0 - 3 5.26\n", "7 0.13 L394 - K267 353 - 969 0 - 3 5.39\n", "8 0.02 L394 - Q229 353 - 956 0 - 3 5.41\n", "```" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Controlling with fractions\n", "Additionally, the **upper bond** itself, $\\Sigma_t$, can be used as a reference for controlling how many contacts get reported. So, instead of specifying an absolute number (*n* = 4,5,6...), one can specify a relative number, i.e. a fraction of $\\Sigma_t$ to be reported. \n", "\n", "This way, regardless of the actual number of involved contacts, one can choose to report **most of them**. In the example below, we choose to report 90% of the total number of average neighbors, which, as we know from above, is achieved with 6 contacts. To avoid introducing a new parameter, ``mdciao`` knows that if ``ctc_control`` is an integer (1, 2, 3...), the user means *these many contacts*, whereas if ``ctc_control`` is between 0 and 1 (.50 for 50%, .9 for 90% etc) the user wants that fraction of $\\Sigma_t$:" ] }, { "cell_type": "code", "execution_count": 6, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Will compute contact frequencies for (1 items):\n", "\n", " with a stride of 1 frames\n", "Using method 'lig_resSeq+' these fragments were found\n", "fragment 0 with 354 AAs LEU4 ( 0) - LEU394 (353 ) (0) resSeq jumps\n", "fragment 1 with 340 AAs GLN1 ( 354) - ASN340 (693 ) (1)\n", "fragment 2 with 66 AAs ALA2 ( 694) - PHE67 (759 ) (2)\n", "fragment 3 with 283 AAs GLU30 ( 760) - LEU340 (1042) (3) resSeq jumps\n", "fragment 4 with 1 AAs P0G395 (1043) - P0G395 (1043) (4)\n", "\n", "Will compute neighborhoods for the residues\n", "L394\n", "excluding 4 nearest neighbors\n", "\n", " residue residx fragment resSeq\n", " LEU394 353 0 394\n", "\n", "Performing a first pass on 1039 residue pairs to compute lower bounds on residue-residue distances via residue-COM distances:\n" ] }, { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "1ba6bb8dce044f92b68ef2e17a1ee4b2", "version_major": 2, "version_minor": 0 }, "text/plain": [ "HTML(value='')" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "7e12eccfbe0041feb7f42ce212ab900a", "version_major": 2, "version_minor": 0 }, "text/plain": [ "Textarea(value='Processing trajectories: 0/1 [ 0%]. Frames processed: 0. Elapsed time: hh:mm:ss. Remai…" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "\n", "Reduced to only 45 residue pairs for the computation of actual residue-residue distances:\n" ] }, { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "17e99d5e0fc24c71b5c4bb99d91c26a2", "version_major": 2, "version_minor": 0 }, "text/plain": [ "HTML(value='')" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "c49d4d2363fb42eda305fce3b5b06096", "version_major": 2, "version_minor": 0 }, "text/plain": [ "Textarea(value='Processing trajectories: 0/1 [ 0%]. Frames processed: 0. Elapsed time: hh:mm:ss. Remai…" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "\n", "\n", "L394:\n", "The following 9 contacts capture 6.09 (~100%) of the total frequency 6.09 (over 11 contacts with nonzero frequency at 5.00 Angstrom).\n", "As orientation value, the first 6 ctcs already capture 90.0% of 6.09.\n", "The 6-th contact has a frequency of 0.64.\n", " freq label residues fragments sum\n", "1 1.00 L394 - R389 353 - 348 0 - 0 1.00\n", "2 1.00 L394 - L388 353 - 347 0 - 0 2.00\n", "3 1.00 L394 - L230 353 - 957 0 - 3 3.00\n", "4 1.00 L394 - R385 353 - 344 0 - 0 3.99\n", "5 0.98 L394 - I233 353 - 960 0 - 3 4.97\n", "6 0.64 L394 - K270 353 - 972 0 - 3 5.60\n", "7 0.36 L394 - K267 353 - 969 0 - 3 5.97\n", "8 0.09 L394 - Q229 353 - 956 0 - 3 6.05\n", "9 0.03 L394 - A226 353 - 953 0 - 3 6.09\n", "The following files have been created:\n", "./neighborhood.LEU394@5.0_Ang.dat\n" ] } ], "source": [ "mdciao.cli.residue_neighborhoods(\"L394\",traj, \n", " short_AA_names=True,\n", " ctc_cutoff_Ang=ctc_cutoff_Ang,\n", " ctc_control=1.0,\n", " figures=False, \n", " fragment_names=None,\n", " no_disk=False,\n", " );" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Which control-mode to choose (fraction or integers) is up to the user:\n", "\n", "* For **compactness**, limiting the output with integers can avoid huge outputs, but might leave out some interesting stuff.\n", "\n", "* For **completeness**, choosing ``ctc_control = 1.0`` will ensure that any-residue under the cutoff (regardless of its frequency) will be reported, but might fill the reports with \"long tails\" of many residues with very low frequencies (see below)." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## `n_nearest`" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Another way in which ``mdciao`` is choosing which contacts to show is through excluding **nearest neighbors**, i.e. residues that are predictably going to be under the cutoff simply because they are bonded neighbors of the residue in question.\n", "\n", "In our example, for ``L394`` these would be residues 395 and 393 (first bonded) 396 and 392 (second bonded) and so on (except, in this particular ``L394`` case, since it's a terminal residue, we only get 393, 392 etc).\n", "\n", "The default value that ``mdciao`` has for this parameter is ``n_nearest=4``, which is approximately one $\\alpha$-helix turn away. The intention is to avoid reporting residues in the helix-turns immediately before and immediately after the residue.\n", "\n", "Let's see the effect of varying this parameter:\n" ] }, { "cell_type": "code", "execution_count": 7, "metadata": {}, "outputs": [], "source": [ "%%capture\n", "n_nearests = [0, 1, 2, 3, 4]\n", "for n_nearest in n_nearests:\n", " n = mdciao.cli.residue_neighborhoods(\"L394\",traj, \n", " short_AA_names=True,\n", " ctc_control=20,\n", " n_nearest=n_nearest,\n", " figures=False, \n", " no_disk=False,\n", " output_desc='neighborhood.n_nearest_%u'%n_nearest)" ] }, { "cell_type": "code", "execution_count": 8, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "These interactions are not shared:\n", "E392, L393\n", "Their cumulative ctc freq is 3.00. \n", "Created files\n", "freq_comparison.pdf\n", "freq_comparison.xlsx\n" ] }, { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "mdciao.cli.compare({\"n_n = %u\"%key : \"neighborhood.n_nearest_%u.LEU394@frag0@%2.1f_Ang.dat\"%(key,4.5)\n", " for key in n_nearests},\n", " anchor=\"L394\",\n", " sort_by=\"residue\",\n", " title=\"n_neighbors comparison\");" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "* The bars: \n", " Since we've sorted the frequency bars by increasing residue number, the closer to the right the bar is, the closer (in space) to ``L394`` we are. Hence, ``L394``'s immediate bonded neighbor, ``L393``, only gets a bar when ``n=0`` (no excuded neighbors, blue bar). Accordingly, next the residue after that, ``E392``, only gets a bar with ``n=0`` or ``n=1``, else it's excluded. Since ``L393`` is covalently bonded to ``L394``, and ``L392`` is covalently bonded to ``L392``, there's a strong expectation for these residue to be near each other, so these frequencies are not very informative. If you're wondering what's with positions 390 and 391, there's a bend in the C-terminus of the alpha helix 5 (``TYR391`` points away from ``L394`` throughout the simulation) so they do not appear on the report regardless.\n", "\n", "* The legend: \n", " We can see also here that, the lower ``n_neighbors``, i.e. the less neighbors we exclude, the higher the $\\Sigma$ value. So, as ``n_neighbors`` goes up, these two bars get hidden, and the graph doesn't change anymore. " ] }, { "cell_type": "markdown", "metadata": { "tags": [] }, "source": [ "## Interfaces: `ctc_control` and `min_freq`\n", "When computing interfaces between two different groups of residues using [mdciao.cli.interface](https://proteinformatics.uni-leipzig.de/mdciao/api/generated/generated/mdciao.cli.interface.html#mdciao.cli.interface), one can set `ctc_control=1.0` and `min_freq=O` to force `mdciao` to report **all** nonzero frequencies. This means any and all residue pairs that, at any given point in time, might have been at a distance >= `ctc_cutoff_Ang` (even if was just for one frame) will be reported.\n", "\n", "After reporting the most relevant contacts, this approach typically reports also a high number of very low frequency contacts, i.e. a *long tail* of very low frequency contacts, in particular for large interfaces (more on this tail below). \n", "\n", "First, we take a look at the full list of contacts by using:\n", "* `ctc_control=1.0`\n", "* `min_freq=0`" ] }, { "cell_type": "code", "execution_count": 9, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Will compute contact frequencies for trajectories:\n", "mdciao_example/traj.xtc\n", " with a stride of 1 frames\n", "Using method 'lig_resSeq+' these fragments were found\n", "fragment 0 with 354 AAs LEU4 ( 0) - LEU394 (353 ) (0) resSeq jumps\n", "fragment 1 with 340 AAs GLN1 ( 354) - ASN340 (693 ) (1)\n", "fragment 2 with 66 AAs ALA2 ( 694) - PHE67 (759 ) (2)\n", "fragment 3 with 283 AAs GLU30 ( 760) - LEU340 (1042) (3) resSeq jumps\n", "fragment 4 with 1 AAs P0G395 (1043) - P0G395 (1043) (4)\n", "Select group 1: 0\n", "Select group 2: 1\n", "\n", "Will look for contacts in the interface between fragments\n", "0\n", "and\n", "1. \n", "\n", "Performing a first pass on the 120360 group_1-group_2 residue pairs to compute lower bounds on residue-residue distances via residue-COM distances.\n" ] }, { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "a4f8c8c07d5f4076b245a58692b0e730", "version_major": 2, "version_minor": 0 }, "text/plain": [ "HTML(value='')" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "7ad48fb4e8ea4d78a3d8708f947ce7a3", "version_major": 2, "version_minor": 0 }, "text/plain": [ "Textarea(value='Processing trajectories: 0/1 [ 0%]. Frames processed: 0. Elapsed time: hh:mm:ss. Remai…" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Reduced to only 1153 (from 120360) residue pairs for the computation of actual residue-residue distances:\n" ] }, { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "2edc62aa28d54a5f9ca7d6d8a002fbd3", "version_major": 2, "version_minor": 0 }, "text/plain": [ "HTML(value='')" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "50e509a052054a1fab9ea551e015524e", "version_major": 2, "version_minor": 0 }, "text/plain": [ "Textarea(value='Processing trajectories: 0/1 [ 0%]. Frames processed: 0. Elapsed time: hh:mm:ss. Remai…" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "The following 138 contacts capture 74.50 (~100%) of the total frequency 74.50 (over 138 contacts with nonzero frequency at 4.50 Angstrom).\n", "As orientation value, the first 73 ctcs already capture 90.0% of 74.50.\n", "The 73-th contact has a frequency of 0.57.\n", "\n", " freq label residues fragments sum \n", "1 1.00 I26 - K89 22 - 442 0 - 1 1.00\n", "2 1.00 R228 - G162 194 - 515 0 - 1 2.00\n", "3 1.00 R228 - D186 194 - 539 0 - 1 3.00\n", "4 1.00 Q227 - Y145 193 - 498 0 - 1 4.00\n", "5 1.00 Y37 - L55 33 - 408 0 - 1 5.00\n", "6 1.00 K233 - N230 199 - 583 0 - 1 6.00\n", "7 1.00 K233 - D246 199 - 599 0 - 1 7.00\n", "8 1.00 D33 - K78 29 - 431 0 - 1 8.00\n", "9 1.00 F238 - L117 204 - 470 0 - 1 9.00\n", "10 1.00 F238 - W99 204 - 452 0 - 1 10.00\n", "11 1.00 Q227 - N119 193 - 472 0 - 1 11.00\n", "12 1.00 L30 - G53 26 - 406 0 - 1 12.00\n", "13 1.00 R201 - R96 169 - 449 0 - 1 13.00\n", "14 1.00 N23 - N88 19 - 441 0 - 1 14.00\n", "15 1.00 N23 - K89 19 - 442 0 - 1 15.00\n", "16 1.00 F222 - L117 188 - 470 0 - 1 16.00\n", "17 1.00 F222 - W99 188 - 452 0 - 1 17.00\n", "18 1.00 C237 - W99 203 - 452 0 - 1 18.00\n", "19 1.00 E27 - K89 23 - 442 0 - 1 19.00\n", "20 1.00 C237 - Q75 203 - 428 0 - 1 20.00\n", "21 1.00 C237 - K57 203 - 410 0 - 1 21.00\n", "22 1.00 I26 - A92 22 - 445 0 - 1 22.00\n", "23 1.00 D240 - K57 206 - 410 0 - 1 23.00\n", "24 1.00 Q236 - Y59 202 - 412 0 - 1 24.00\n", "25 1.00 K233 - D290 199 - 643 0 - 1 24.99\n", "26 1.00 C237 - Y59 203 - 412 0 - 1 25.99\n", "27 1.00 Q236 - W332 202 - 685 0 - 1 26.99\n", "28 1.00 Q19 - N88 15 - 441 0 - 1 27.98\n", "29 0.99 I172 - E130 140 - 483 0 - 1 28.97\n", "30 0.99 Q227 - L117 193 - 470 0 - 1 29.97\n", "31 0.99 R20 - N88 16 - 441 0 - 1 30.96\n", "32 0.99 K34 - L55 30 - 408 0 - 1 31.95\n", "33 0.99 Q236 - K57 202 - 410 0 - 1 32.94\n", "34 0.99 Q19 - T86 15 - 439 0 - 1 33.92\n", "35 0.98 A22 - K89 18 - 442 0 - 1 34.90\n", "36 0.98 R228 - Y145 194 - 498 0 - 1 35.89\n", "37 0.98 F208 - D118 174 - 471 0 - 1 36.87\n", "38 0.98 C237 - L117 203 - 470 0 - 1 37.85\n", "39 0.98 W281 - R314 240 - 667 0 - 1 38.82\n", "40 0.98 I172 - N132 140 - 485 0 - 1 39.80\n", "41 0.98 W234 - Y145 200 - 498 0 - 1 40.77\n", "42 0.97 Q19 - D83 15 - 436 0 - 1 41.74\n", "43 0.97 R42 - W99 38 - 452 0 - 1 42.71\n", "44 0.97 R42 - D76 38 - 429 0 - 1 43.69\n", "45 0.96 D33 - L55 29 - 408 0 - 1 44.65\n", "46 0.96 W234 - L117 200 - 470 0 - 1 45.61\n", "47 0.96 I26 - H91 22 - 444 0 - 1 46.58\n", "48 0.96 E209 - S98 175 - 451 0 - 1 47.54\n", "49 0.94 I172 - R134 140 - 487 0 - 1 48.47\n", "50 0.93 F208 - L117 174 - 470 0 - 1 49.41\n", "51 0.93 Q227 - G144 193 - 497 0 - 1 50.34\n", "52 0.93 N239 - W332 205 - 685 0 - 1 51.27\n", "53 0.92 C237 - M101 203 - 454 0 - 1 52.19\n", "54 0.91 Q19 - R68 15 - 421 0 - 1 53.10\n", "55 0.90 Q19 - V90 15 - 443 0 - 1 54.01\n", "56 0.90 Q170 - R129 138 - 482 0 - 1 54.91\n", "57 0.89 G226 - T143 192 - 496 0 - 1 55.80\n", "58 0.89 W281 - W332 240 - 685 0 - 1 56.69\n", "59 0.87 F208 - N119 174 - 472 0 - 1 57.56\n", "60 0.86 L30 - K89 26 - 442 0 - 1 58.42\n", "61 0.83 Q170 - G131 138 - 484 0 - 1 59.25\n", "62 0.81 A22 - V90 18 - 443 0 - 1 60.06\n", "63 0.80 I26 - V90 22 - 443 0 - 1 60.86\n", "64 0.77 I172 - G131 140 - 484 0 - 1 61.63\n", "65 0.75 E16 - T86 12 - 439 0 - 1 62.39\n", "66 0.70 K233 - Y59 199 - 412 0 - 1 63.09\n", "67 0.66 Q170 - E130 138 - 483 0 - 1 63.75\n", "68 0.63 F222 - D118 188 - 471 0 - 1 64.38\n", "69 0.63 I207 - D118 173 - 471 0 - 1 65.01\n", "70 0.62 L30 - L55 26 - 408 0 - 1 65.63\n", "71 0.61 E15 - R68 11 - 421 0 - 1 66.24\n", "72 0.59 E16 - N88 12 - 441 0 - 1 66.83\n", "73 0.57 W234 - M101 200 - 454 0 - 1 67.40\n", "74 0.54 R232 - D228 198 - 581 0 - 1 67.94\n", "75 0.52 E209 - W99 175 - 452 0 - 1 68.46\n", "76 0.50 Q236 - D290 202 - 643 0 - 1 68.96\n", "77 0.41 E209 - R96 175 - 449 0 - 1 69.38\n", "78 0.39 Q19 - K89 15 - 442 0 - 1 69.76\n", "79 0.37 V241 - W99 207 - 452 0 - 1 70.13\n", "80 0.30 H220 - W99 186 - 452 0 - 1 70.44\n", "81 0.29 L171 - E130 139 - 483 0 - 1 70.72\n", "82 0.26 I207 - I120 173 - 473 0 - 1 70.99\n", "83 0.23 R20 - T86 16 - 439 0 - 1 71.22\n", "84 0.22 K233 - G272 199 - 625 0 - 1 71.44\n", "85 0.22 R201 - E138 169 - 491 0 - 1 71.65\n", "86 0.21 Q227 - T143 193 - 496 0 - 1 71.86\n", "87 0.19 G226 - N119 192 - 472 0 - 1 72.05\n", "88 0.17 R42 - A56 38 - 409 0 - 1 72.22\n", "89 0.16 Q12 - T86 8 - 439 0 - 1 72.37\n", "90 0.14 R42 - L55 38 - 408 0 - 1 72.51\n", "91 0.14 L43 - W99 39 - 452 0 - 1 72.65\n", "92 0.13 R232 - D246 198 - 599 0 - 1 72.78\n", "93 0.12 R232 - C204 198 - 557 0 - 1 72.90\n", "94 0.10 E101 - N132 69 - 485 0 - 1 73.00\n", "95 0.10 E15 - T86 11 - 439 0 - 1 73.10\n", "96 0.09 R42 - S98 38 - 451 0 - 1 73.19\n", "97 0.09 Q12 - Y85 8 - 438 0 - 1 73.28\n", "98 0.09 D173 - R134 141 - 487 0 - 1 73.36\n", "99 0.08 R42 - Q75 38 - 428 0 - 1 73.44\n", "100 0.06 Q170 - T128 138 - 481 0 - 1 73.51\n", "101 0.06 Q12 - R68 8 - 421 0 - 1 73.57\n", "102 0.06 N239 - K57 205 - 410 0 - 1 73.63\n", "103 0.06 N239 - N313 205 - 666 0 - 1 73.69\n", "104 0.05 R228 - D163 194 - 516 0 - 1 73.74\n", "105 0.05 L30 - R52 26 - 405 0 - 1 73.79\n", "106 0.05 V224 - L117 190 - 470 0 - 1 73.84\n", "107 0.05 Q19 - L69 15 - 422 0 - 1 73.88\n", "108 0.04 R20 - T87 16 - 440 0 - 1 73.92\n", "109 0.04 W234 - Y59 200 - 412 0 - 1 73.97\n", "110 0.04 K233 - I273 199 - 626 0 - 1 74.01\n", "111 0.04 G226 - G144 192 - 497 0 - 1 74.05\n", "112 0.04 R232 - D186 198 - 539 0 - 1 74.10\n", "113 0.04 C174 - R134 142 - 487 0 - 1 74.14\n", "114 0.04 C174 - N132 142 - 485 0 - 1 74.18\n", "115 0.04 F238 - K57 204 - 410 0 - 1 74.21\n", "116 0.04 I26 - I80 22 - 433 0 - 1 74.25\n", "117 0.03 K233 - M188 199 - 541 0 - 1 74.28\n", "118 0.03 D173 - E130 141 - 483 0 - 1 74.31\n", "119 0.03 F222 - S98 188 - 451 0 - 1 74.34\n", "120 0.01 R201 - L95 169 - 448 0 - 1 74.35\n", "121 0.01 K233 - M101 199 - 454 0 - 1 74.37\n", "122 0.01 Q236 - R314 202 - 667 0 - 1 74.38\n", "123 0.01 N23 - T87 19 - 440 0 - 1 74.40\n", "124 0.01 Q170 - N132 138 - 485 0 - 1 74.41\n", "125 0.01 N167 - R129 135 - 482 0 - 1 74.43\n", "126 0.01 L171 - R129 139 - 482 0 - 1 74.44\n", "127 0.01 R232 - Y145 198 - 498 0 - 1 74.45\n", "128 0.01 M221 - W99 187 - 452 0 - 1 74.45\n", "129 0.01 K34 - G53 30 - 406 0 - 1 74.46\n", "130 0.01 E209 - S97 175 - 450 0 - 1 74.47\n", "131 0.01 R280 - R314 239 - 667 0 - 1 74.48\n", "132 0.01 D240 - A56 206 - 409 0 - 1 74.48\n", "133 0.00 R228 - G144 194 - 497 0 - 1 74.49\n", "134 0.00 Q29 - A92 25 - 445 0 - 1 74.49\n", "135 0.00 L30 - I80 26 - 433 0 - 1 74.49\n", "136 0.00 D240 - W99 206 - 452 0 - 1 74.50\n", "137 0.00 Q236 - Q75 202 - 428 0 - 1 74.50\n", "138 0.00 L171 - R134 139 - 487 0 - 1 74.50\n", "\n", " label freq\n", "1 C237 5.90\n", "2 Q19 5.20\n", "3 Q227 4.13\n", "4 K233 4.01\n", "5 I26 3.80\n", "6 I172 3.68\n", "7 Q236 3.50\n", "8 R228 3.04\n", "9 F208 2.79\n", "10 F222 2.66\n", "11 W234 2.55\n", "12 L30 2.54\n", "13 Q170 2.46\n", "14 R42 2.42\n", "15 F238 2.04\n", "16 N23 2.01\n", "17 D33 1.96\n", "18 E209 1.90\n", "19 W281 1.86\n", "20 A22 1.79\n", "21 E16 1.34\n", "22 R20 1.26\n", "23 R201 1.23\n", "24 G226 1.12\n", "25 N239 1.04\n", "26 D240 1.01\n", "27 Y37 1.00\n", "28 E27 1.00\n", "29 K34 1.00\n", "30 I207 0.90\n", "31 R232 0.84\n", "32 E15 0.71\n", "33 V241 0.37\n", "34 Q12 0.31\n", "35 L171 0.30\n", "36 H220 0.30\n", "37 L43 0.14\n", "38 D173 0.11\n", "39 E101 0.10\n", "40 C174 0.08\n", "41 V224 0.05\n", "42 N167 0.01\n", "43 M221 0.01\n", "44 R280 0.01\n", "45 Q29 0.00\n", "\n", " label freq\n", "1 L117 5.91\n", "2 W99 5.31\n", "3 K89 5.23\n", "4 L55 3.71\n", "5 N88 3.58\n", "6 K57 3.08\n", "7 Y145 2.97\n", "8 W332 2.81\n", "9 Y59 2.74\n", "10 V90 2.51\n", "11 D118 2.25\n", "12 T86 2.22\n", "13 N119 2.06\n", "14 E130 1.97\n", "15 G131 1.60\n", "16 R68 1.59\n", "17 M101 1.51\n", "18 D290 1.50\n", "19 R96 1.41\n", "20 D246 1.13\n", "21 N132 1.13\n", "22 T143 1.10\n", "23 Q75 1.08\n", "24 S98 1.08\n", "25 R134 1.07\n", "26 D186 1.04\n", "27 G53 1.01\n", "28 A92 1.00\n", "29 G162 1.00\n", "30 N230 1.00\n", "31 K78 1.00\n", "32 R314 1.00\n", "33 G144 0.98\n", "34 D83 0.97\n", "35 D76 0.97\n", "36 H91 0.96\n", "37 R129 0.92\n", "38 D228 0.54\n", "39 I120 0.26\n", "40 G272 0.22\n", "41 E138 0.22\n", "42 A56 0.18\n", "43 C204 0.12\n", "44 Y85 0.09\n", "45 T128 0.06\n", "46 N313 0.06\n", "47 T87 0.06\n", "48 D163 0.05\n", "49 R52 0.05\n", "50 L69 0.05\n", "51 I273 0.04\n", "52 I80 0.04\n", "53 M188 0.03\n", "54 L95 0.01\n", "55 S97 0.01\n", "\n" ] }, { "data": { "image/png": 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VmFgYFmCxWGSzFU62Wr16dVmtVnl5eclmsxmT0i1evFgOh0P16tUrtk1PnfTpz5Pq+fn5KT4+XikpKUpOTtb69etVtWpV+fr6atmyZcrIKOy/a8IVp9PpsQHySUlJOnToUGl347JISkrSN998oxUrVhjryCUkJESTJ082AuTtdrsyMjLUunVr1ahR44LtelqA/IEDBzRnzhzdddddWrFihU6cOGF8/vr06aPw8HBdf/31Wrdunb7//ns9/fTTatasmZYuXar09PRiJ5H0xAD5nTt3asCAAerevbuaNm2qX375pcxNcvR3OBwOtW/fXn379tXMmTM1fvx4LV26VK+++qqOHy8aAu96Dx555JESJzn3tAD5Xbt2qV27dkpKSlJoaKhWr16tbt26afHixQoMDNRdd92lCRMmGIG/kvT666/LZDKpQoUKxbbpiQHyc+bM0cSJE9W7d29t2LBBJpOpyPfNNXmQl5eXoqKidPLkSQ0bNkzr1q2TVPh5OJ8nBsifPn1aCQkJ+u233yQVfiZLmpy2rEpMTNT777+vuXPnateuXUpJSVHFihX11ltvKTMzUzt37tQ333xj1A8ODlabNm1Uvnz5C7b70LvbtfVI6qXu/t8WFxenDh066Pfff9eOHTs0c+ZMvfnmm6XdrYvuz+vz7NmzxmR7V5JLsT/xtAD5S7E/8bQAeakw9DUtLU3XXnutJMlms6lixYpq1aqVHA6HHnjgAR07dsz4HIeFhclms+n77793m2T6fATIl56HHnpIb7zxhn766ScNGTJEn376qcxms7y9vYtsh/Lz83X48GENHz5cderUMSZEP5+nBchv375dderUUVxcXLHH6q5jhIkTJyo9PV1z5syR9NeTl+47laVlP3lecOGV7lKtz0c/iNO3CSkXv8P/wvbt243/7tq1q2688UYNHDhQN9xwg7EvnTdvnvr06aMOHTpo7dq1kooer7s8fm3x+9LSdP61gzfffFNHjx5VjRo19O677+qhhx7S0KFD9frrr2vx4sVyOp06evSoGjRooOrVq5fYpqcGyEvSNddco/z8fN1333367bff9OOPP6pv377q1auXFi1aJEl67733JKnMTupauXJlDRs2zC1A86WXXtL69es1ZsyY/8feWYdF1bx/+N5dGgRFFLG7GwMDxe7ALhTFbkVULExQsbvFjtfuLuxOFMUCEcVAUXrj9we/Pe8uLNjCvt9zX5eXsMzOzuw588wzz8x5PlStWhVPT09BtDtfvny4u7vrjYD83Llz2bhxI5s3b+bRo0cMGjSIefPmaYlR/Bd48OABNWrUoHjx4vj6+grCWrGxiTG5AQMGsGLFCmbNmoWbmxtt2rTB1dWVgwcPMnToUJ02Nz0KyEdHJ/rX6vGmbrd6j0Emk3Hjxg0MDAxwc3Nj27ZtODo6cunSpRTrTG8C8vfu3aNWrVq0a9eOYsWKCfPify1G8r/C8OHDmTdvHu3atUsmDKs5/9epU4fmzZszadIkvnz5kqofNO3gQw7cDftjbf4Zpk+fzqRJk/5zMRE1QUFBrFixgtGjR3P8+HFCQ0ORSCQoFOkntvqnqF69OpkyZSIiIoLFixfTokULBg0axJEjRyhfvjwAGTNmZOjQoRw/flyvBOTV108tJqFUKlGpVNSrV48VK1Zw9uxZZs+ezY0bN3B3d6d79+7CHqEuvy89Csirx6RaQF49lwwZMoQ5c+bg7u7OvHnziIuLw8PDA29vb+Li4lKsL70JyEOiaEajRo0YMmSI8NrixYs5ffo0zZs3x8nJiQEDBvD8+XMh5lWiRAkePXpEuXLldNaZ3gTkw8PD6d27N25ubvj4+ODg4EC9evWoV68ekZGRnDt3jq9f/93Tev/+PXfu3GHz5s1cvnxZp4A8kK4E5AMDAylSpAidOnXiwoULyexr4cKFKV++PJ8+feLgwYPC2mXBggWcOHECa2trnfWmRwH5iRMnsm7dOjZu3MitW7cYOXIkW7ZsSXXs6SMqlYoVK1bQuHFjZs6cSa9evRg1ahRt27Zl3bp1TJ06Vdhf0Fc/NyAggBo1alCsWDFKlSqVTEBeX/uVlPv373PixIm0bsYf5fXr13Tt2hUrKytmzZrFvHnziIhIed9VLpczevRoIiMjOXv2bIr7J6KAfNrj4OBAqVKlmDRpEo0bN2bixIns2bMHX19fdu/eTadOnbh69SqvXr1KtR7PxsX+Uou/n2fPntG0aVP69OnDxo0b+eeff6hVqxZPnjxBoVCgVCqxtbXln3/+4dixY4Lfo1KpKF68OLlz505WZ3oTkIc/s0+dHgXkt23bxqZNm+jUqRMrV65kzJgxQGJ/1H7RiBEj2Lp1K76+vpiamgrvVQvIa67H06OAfHR0NDNmzKBFixZMmjQJExMT8uXLR506dXj69Ck+Pj5CvBkS42NDhgzhwIEDnDlzRudaM70JyL99+5a+fftSpEgRYmNjWbBgAWfOnAHAyMiI+Ph4ZDIZZ86coU2bNoSEhDBnzhweP37M2bNnUxQES48C8p6ensyZMwcXFxcaNmzIvXv3OHTokPD3/4If5O3tTevWrSldujSjR48W+qfrzJ4+M2HCBOrXr8/WrVv5+vVrivtcCQkJWFtb8+bNGxwdHSlUqBDHjx8Hkl/v9Cogr35GARJtZnx8PAkJCQQFBTFgwAAuXrwoCMWWLl2au3fvplpfehKQh8QzbF+/fmXbtm3CvhBAuXLl2LFjhyAgr1AokEgk5M+fnxw5chAZGUlISIiW/6tQKLh69SrHTp+l97prwppaERVBwvuXKKI0fWUJypgvqOKjQWMtb2RkhKGhodY9JZFIyJMnD/nz50cmkwmv29nZUa1atWTPhxQrVowiRYpoxdWNjY2xtLTE0NAQQMt2WllZ4eXlxdChQ2nfvj07d+5EIpEwevRoVq9erXUPaCIKyKcdqflASfcaIiIi2L59O/Xq1SNXrlwsX74c0LZB6e1ZovDwcO7fvy/sUf4Xn1P4X+Pw4cOULFmSUaNGAYl2LTg4mJMnT1K9enVq1qyJv7+/UD4hIYG3b99y+fJlvRKr/i/5Ot/i48ePBAYG8vHjR+G1woUL07lzZ7p27Uq/fv14+vSp3p4F2rNnj3BP6nomo0CBAsIeGSTuh2bNmpWCBQv+1Xb+Dn73nl96Qy6Xs337dooUKcKVK1cwMjJi2rRpHDx4ELlcjkQiEXwdd3d31q9fT9euXWnfvj3nzp1LcT9M5O8TGRnJ27dvCQ9P3J/7r60xRVImPj5eOPMGYGNjg0qlQqlUolQqadSoEQcOHGDFihVMmjSJkJAQ3N3dGT58uNY+sIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIg+Y5DWDRAR0UVISAguLi5YWFhw9uxZ3N3dmT17NoaGhsTHx2NkZISzszO5cuViw4YNDB06lFy5cmFkZMShQ4dSFKxOTwLyT58+pWbNmoSHhxMWFsakSZPIkSMHBgb/DsvChQuTLVs26tevj6OjIyqVirNnz3Ls2DGyZcums970lPQJEpO15suXT0jooP7f1taW6tWrc/78eQYOHEiLFi1YsGABnp6eLFu2jBIlStCsWTOhnqQJSdKLgPytW7do2rQpK1euJG/evGndnD/KvXv3aNu2Laampjx58oSpU6eye/duihcvjlwux8DAQCtJnUwmY/369SQkJOhMuqtJehKQv3fvHnXr1qVGjRo8e/aM27dvc/36daZPn46pqSlmZmZs2bIFa2trjhw5IiTsGzt2LFZWVlhZWemsN70JyD98+JCaNWvi6upKqVKlOHHiBL179+by5cuYm5sL4/W/QIYMGejUqROZMmUCEhMCQaJ4mlKppE+fPuTIkQO5XM779+8F+6qZoDEp6UlAPjo6muHDh+Pq6sqcOXMAmD17NnZ2dkyfPp2PHz/i7u6OsbExACdPnmT79u1s27aNM2fOYGNjo7Pe9CYgf/HiRfbs2cPMmTMJCgqicePGHDhwgHr16um8Xz98+IC7uzuVK1dmw4YNgLagn5r0JiB/79493Nzc+PLlC1FRUdStW5c1a9b8Z8YjJPaxTp06VKpUiYCAANauXUvJkiWZMmUKDg4ObN26ldatWzNhwgSeP39O5cqV2bZtGzdv3hQEmVLi6vOPqf79b/Lu3Tvat2+Pq6sr06dPJzw8nF69ev3nBBp1Xc9SpUrh7e1N/vz5dY47feVPzCfpSUD+T80n6UlA/uPHj1hbW2NpacnXr185fvw4tWvXxsjIiFevXvHy5Uu2bNlCnz598PDwYMeOHUilUooVK4afn5+QfFkX6U1APiwsjICAAIyMjMiaNStFihRJ6yb9Efr06cPWrVsFgRpLS0v8/PxYsGABgwcP1rI/nz59YseOHfj6+lK8eHE2bdoEkMyPSG8C8tWqVcPDw4M+ffok+7vaxiqVSjJkyEC/fv3YvXs3L1++JE+ePKnW3X/zDSJj0n5N/b/En7ye6U1Avn///qxdu5a3b99ibm6OTCZj2bJlFClShEePHqFUKgkICKBQoUIkJCQgl8uFxLsp+Q1jdt37m134JinFDry9vcmVKxc9evTQKi+RSNi0aRNxcXFkzpw5xXrTk4D8zZs3mTJliiAMnzVrVv755x9cXFw4evQo8fHx9O3bF09PTyAxqbK+JupcvHgx7dq1o1atWpQvX54MGTKgUqno2LEjtra2rFq1ijx58nDw4EFatWpFkyZNcHR0FP5B8vVmehOQj42N5cSJEwwcOJCqVasC0KJFC16+fMn69evJkiULBQoUEEQo9ZU3b97QsWNHunfvzqxZs4DEGPvgwYMJDQ0lU6ZMWFpa4ubmRqFChTh16hQ3btwgW7ZsXLx4kZIlS+qsN70JyM+fP5+PHz/Sr18/nfsEaiF5AwMD7ty5Q/HixenYsSNNmjRh5cqVQHIfCEhXAvJPnjyhXr169OjRg06dOnHmzBmGDh2Ki4tLinsj+khwcDBxcXGC0Nl/lVGjRrF69Wpu3rxJqVKl+PTpEyqVipiYGLJnz66VrF8ikdCyZUt27tzJvXv3BJuli/QmID9y5Eg2btzItGnTiIyMJGPGjGndpN/KvXv3cHJyol69ejx+/JjTp0+jUqlYu3YtJUqUQKFQpBoD0XckEgmfPn3C39+f5s2b8+nTJ5RKJRkzZiQwMJBSpUphbW2NhYUFFhYWOutITwLyL1684Ny5c3Tu3BmZTKbly6j/VyqV1K9fn1WrVtG3b19OnjzJhw8fuHDhApaWlinWnV4E5MPCwoiIiKB48eLJ1hmac+DQoUORSqWMHDmSTZs2cePGDW7evCnEwHSR3gTkIVEcNmvWrML6cfny5UydOhU/Pz+qV6/O2bNnmT9/PmfOnCFfvnzIZDLq16+fap3pSUAeEsVPqlatSteuXYXXli1bxqlTpwgPD+fJkyc4ODjg6+tL2bJlKVq0KF26dGHUqFGp+rnpRUD+48ePDB06lHbt2vH8+XNcXFxYt24dNWvW1LKvI0eOxNraWth/V9vfrFmzplh3ehOQv3LlCkePHmXFihXCXN+4cWOOHTvG4sWLyZIlC0WKFKF69epp3NJfR6VSERAQQM6cOYFE0SxDQ0PKlClDhgwZ2LhxI7lz58bX11cv9wJjY2Px9PSkTZs2LFq0CJVKxa1bt/j69asQl9Y8K6Sv3Llzh/LlyzNx4kTq1q2b1s35I6hUKq5evUquXLlYuHAhx48fx83NDZVKxbBhw4S9MU1CQkL49OkTFy9eTNXOigLyf58vX76gUCgwMDDA1NQUExMTtm3bRkBAAG/fvuXt27dUqlRJKG9vb49KpfrmPvbc44//dNN/CIVCwbFjx2jSpAnDhw8XbI1EIiEwMJAqVapQvnx5WrZsScOGDbXem5pNSm8C8vBn9qnTm4B8bGws9+/fp0WLFvTp04eqVasybtw4VCoVPj4+GBgYEBcXh7GxMe3atUuxHk3fP70JyMfFxWFmZkarVq3InTu3cE546tSp7Nq1C0NDQ168eEFUVBTXrl1j5syZlCpVirFjx5I9e3bBn0hKehKQh8S1mJWVFePGjePr16+MGzeOhQsXAuDk5ISRkZHgE02YMAGlUsmXL18wMjLC1NQ0xXrTm4D8pUuX2L17N7t376ZKlSoAXL16FalUytevXzEwMMDExESv4yUTJ05k0aJFjBkzhvLly3PixAmOHj3Kw4cPcXd3/0/4eQDr1q1j06ZN5M2bl/nz5yOVSmnfvr3O+I6JiQmhoaHY29tTvXp1Dh8+DOg+k5ieBOQfPHiAl5cXGzduxMTERNg/gESR8xo1atCsWTNMTEw4dOgQZcuWpWTJkhgbG6caHwHShYC8SqUiPj6ehIQEHB0dady4MStWrKBhw4ZkypQJMzMzcuTIQfbs2ZHL5Vy8eBGlUsn169cFe/zu3TuCg4PJmTOnMN/KZDJiYmKYefABkZb5kRgknhmSGhijNDJDIvv3DJFEIsEwc06QSEHjXsiZM6dO+63reQPN50dS4927dxgZGWFlZZXi3nqGDBnw8vJCIpHQpUsXli5dyqlTp7h161aKn5PeBeT/S2cQNfmWDySVSrXmkufPn3Pr1i3q1KnD3LlzgeTfTXp6luju3bu0adMGpVLJ58+fyZMnDz4+PlSpUgULC4v/xDzyp8k7+uBPve/F9Ca/uSX/MnDgQBwcHIRnZubOncvixYuZNm0aBQoUYP369XTq1Ilbt25hY2ODmZkZq1ev1psxHBUVhbm5+X/+3tQcfwUKFMDMzIydO3dSp04dEhIS6NixI0OHDqVVq1ZcunSJ4OBgChQokMat/nGmTp3KhAkTaNmyJUZGRlSuXDlFP1alUvH69WtcXFwoVaoUTk5OadPoH+RP7vmlN2QyGXXq1CFfvnzY29tz8OBBmjRpwrRp01CpVDRp0gRDQ0PB323RogUtWrRI62b/MPq8jvwe7t+/z8CBAwkNDcXOzg4XFxd69er1n7e7Iolr0/Hjx/Py5UsKFy5MlSpVGDx4MBKJRIhnKxQKQUje2dmZI0eO8OrVK65cuZLiOQwRERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERfUMUkRdJl+zZs4csWbLg4eHB9evXWb9+PZAoYmhkZCQIyVeoUIEKFSrg4eEhJGrRB1GGmJgY5s6dS/369WnevDmdO3cmISEBb29vcuTIASAkrTh16hRDhw4lLCyMbNmy4e/vn6oAYHpJ+gSJSQT379/P5MmTady4sVayFYlEgoGBAa1bt6Zbt27Mnz8fMzMz5s2bR4UKFbQE5HWRHgTk79y5g6OjI7169aJx48Zp3Zw/SlBQEA0bNqRHjx707dsXa2tr6tSpw4gRIzh06JCQVE6dtOPGjRvs3r2bhQsXcu7cOb0R9gkJCaF9+/a4ubnh7e0NJNqdlStXMn78eExNTcmVKxe3bt0C0BKW+pYwZ3oSkE9ISGDKlCk0b95cENSysbEhISEBpVJJbzMfWQABAABJREFUeHh4qkID+oQ6gY61tTXwr211d3dHpVIxb948JBIJrq6uLF68mICAAHbv3v3N5JfpCbV4TeXKlQGIjIzE0tKS6tWrExwczK5du6hSpQq1atUCwM7ODpVKxcWLFylevHiK9aYnAXlITGLl5OSEs7OzYFOaNm0qCMknTYSYOXNmBgwYQMuWLYGUk0imJwH5gIAAatasSe/evWnWrBkPHz7Ex8eHx48fU7hwYUC3yJs+8e7dO7p3706/fv0YN24choaGzJgxA09PT54+fcq6deuoV68e58+fx8PDgxkzZmBoaIiJiQmHDx/WmUA1vfL8+XOMjIwYPHgwkCi6aWZmxtGjRzl//jw5cuRg6tSpgP5e129dz/Xr11OsWDG97Z8m4nzy8/NJehGQf//+PQ4ODnh6euLm5ka3bt3Yu3cvQUFB1KpVi7Fjx9K2bVvs7e3p0aMHW7ZsEYQIgFQF5IF0JSB/7949mjZtiq2tLREREURFRTFmzBj69u373Umn9YF3794RExPDmTNnKFu2LHK5nOzZs9O8eXNOnTqFm5sbpqamWokwM2TIQO/evQVxDV3+QXoRkH/48CEVK1bE3d0dHx8fVCoVu3fvJjAwEDs7OxwdHSlQoIBWwsiqVauyZMkSTExMvlm/KCD/d/nT1zM9MWzYMLZt26YzyeywYcMA7bH38eNHHjx4kKpALMDrz+lnTZ1a7GDChAnJkp3fuXOHWbNmcfDgQU6dOpXqeju9CMjfuXOHGjVq0KdPH62ktDVr1uTRo0c8efIEmUwmxEXU8QS1v65P/t+bN2/w8fHB39+fzZs3C4nOFQoFXbp0oVatWpibmwOJ4zJHjhy8f/8+WT1J55P0JCAPCAJSkZGRxMTEYGpqSu/evYmLi+Ply5d8+fKFPHny4OvrS7FixdK6uT/NixcvcHZ2xtXVVXhtw4YNXLp0iXr16mFra0vu3LlZs2YNNWrUoEaNGoB+JWCeM2cOI0aMIFu2bJibm9OtWzdsbW2TlTMwMEClUhEaGkpsbCydO3dmw4YNgH4IbaxcuRIHBwfBzubMmZPDhw/z7t07Xr9+Te7cubGxsUnjVv4at2/fpnz58mzbtu0/LSK/bNkyfH192bFjB6VKleLYsWMsXbqUW7dukSFDBurVq8ecOXOEpNAymYxmzZoxZsyYb/oH6Ym9e/eyZcsWdu7cSZUqVfjy5QuhoaFYW1tjZGSkNzYmJT59+kTfvn3p06ePMC63bt1Kp06dcHJy4tixY5QrV04v7Mu3iI2NxdDQUOuaqe/NqlWrYmRkxMCBAzly5AjXr19n2bJljBo1CqlUSo8ePfSi/48fP8bBwQFra2tiYmLo2bNnMlEJSPRvVCoVdevWpVixYly4cIFr165p7Y2lVx4+fEiFChWoWLEiS5cu/aZ/M3jwYDZt2kRQUBB37tyhVKlSqZZPbwLyavLnzy/8XK5cOfz9/alWrZrwt/nz53Pp0iW6d++eVk38aVQqFXZ2dowbN05Ya+7evRtfX1+2bNmCo6MjSqWSsmXLsmnTJsqWLYudnR1Lly4V/Pn0zufPnylUqBCtWrXCycmJunXr0q1bt2RC8mXLltV63/fMMelJQB4S9/BGjBgh3J8qlYq2bdsSFxeHSqUiNjaW8PBwli9frvdC8lKplKpVq7Jnzx7u3LlDmTJlePHiBVOmTGHnzp3UqFGD4cOH069fP60xrC8YGRnx6dMnPDw8AKhbty5fv37l/v37FC1aFGdnZ8aNG6c3MQJd3L59m2rVquHu7s748eN1ltGnOEhKSCQSypQpw8CBA8mZMyfdu3dHpVLRs2dPAIYOHSrskan7my9fPlavXo2ZmVlaNl0kCffu3cPNzQ2JREJYWBht27albdu2ODg4YG9vz4ULF5L5u7t27SJTpkzY2dmlWnf4l7g/3fwfQi0cVrVqVeH+nDBhAmvXrmX8+PHEx8fz8OFDxo8fT758+b55rktNehOQ/1/Yp4ZEYebevXvz6dMnChUqhI2NDQqFAi8vL1QqFdOnT8fY2BiVSoVSqfwuHyg9Ccg/f/4cHx8fpkyZQv369YXrc+fOHby9vdm9ezctWrRAoVAwZswYzpw5w9u3b7G1taVSpUqp1p2eBOQBihUrhre3NyVKlABg8uTJTJgwgYULF6JSqahVqxaGhoaCkLxUKhXi8vrEhw8f+Pz5s9Y5ppCQEGbMmMHEiRMxNjbmwIEDwrkKffMVwsPDOXHiBIsXL6Z9+/YAdOjQgfXr1wvXcsSIEXrXr6RER0cTHBxMy5YtmTx5MgMHDmTmzJkAgpC85vWTy+V8+vSJNm3asH37diDleHt6EZB//vw5TZo0ITg4mHr16nH8+HFMTEy09kVKly5N8eLFmT9/vrDmtLOzY/Xq1WkW11QqlXz58oWEhAStvYA3b94QHh5OlixZBN8lIiKCq1evYmJiQo0aNZg3bx4nTpzAw8ODSZMmkSNHDuE6GhgY8P79e3bv3s3+/fs5f/48GTJkIDY2Fltb22SihGXLluXz3vdIZP+etZFZZEJmkSlZm2XmyV/73Tx8+JBy5crRsmVLVq5cSYYMGVIsmyFDBkaNGsX+/fu5desWt2/fpnTp0imWT08C8kFBQWzfvp0vX76QPXt2evbsiampaVo364/wPT6QTCYT7uHy5cuTN29ewTfUZYPSy7NEb968oWXLlnTs2JH27dsjk8mEGMiQIUPo2rWrXvoA/+uo77kKFSoAiWcyg4ODOXHiBLVr1wagRYsW2NjYsH//fiEWrQ97J5B4jn/48OGMHj1abwTEf4b79+9z9epVOnXqhImJCa1ateL48ePMnTsXLy8voqOj6dKlC+PGjQMSfaarV68KZ4f1hSNHjrB9+3bGjBnDrl27mD59OqNGjcLBwSGZkPzHjx9ZunQpe/fuJU+ePMLZivTuy/8v7PlpIpFIKFu2LPb29kDiPLpv3z6aN28u7GE3bdoUAwMD9u/f/83nUtMbgYGBmJmZkStXrrRuyh/j4cOH1KxZE1dXV/r378/evXvZu3cvXbt2FWIl6X3cifwcT548oXr16rRp0wYHBwdu3LjB0qVLOXXqFHv27BEE5NU2rFGjRtSuXZsrV65w8+ZNvbNXIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIqnx31EP+x/gf+kh+K5du2JtbU3t2rWxt7dHpVIJSTjUQvLqhJgAOXLk0KvvRqFQULFiRYyMjGjTpg3Zs2cXEqqoheQ1H36fN28eoB/iLmpWrlzJ8uXLMTY2Zvbs2chkMho0aKAlBOLu7k6dOnVwdnbG3NxceN3FxQVI3/198OABjo6ODBo0CB8fHxQKBTdv3uTLly9kzJiR8uXLp3UTfxuxsbHMnz+fRo0aMXbsWIyNjZFIJIwYMQIvLy9iY2O1RO3Cw8OZM2cODx48wN/fP9Wkc+kJpVLJ8ePHKVKkCP379xfuvz59+rBgwQIePHhAzZo1USqVep98IiEhgZcvX9KiRQvhtStXrnDy5EmqVq3K69evGT16NEOHDv2mYGp65NWrVwQGBlKnTh2t5HmQKKClvrbqRKYLFy5k586dBAUFcenSJb1JpBwREUGmTJmQy+WEhoZy48YN2rdvj6WlJW/evCEgIIB58+YxatQoFi1aJMwzxYsXZ/HixXpzbdX9dHBwIG/evIKAvGaip/3791O/fn0gMYmXXC4na9as3xSQT0+8e/cOFxcX3NzcmD59OpAo6rJp0ybCw8MJDQ2lZs2a6b4f3yIsLIzY2Fjatm0r3IM9e/Zk8+bNAAwcOBA/Pz9Kly7Nzp07iYyMJCoqChsbGzJl+vOJVn8nxsbGBAYGsnv3bgYMGMDUqVPZsWMHvXr1wtjYmIULF/Ls2TM2b96sV36sJt+6nv3792fTpk1kz549LZv504jzyX9rPomKiiJfvnycPHmSdu3a0bNnTzJnzsz69evZtWsXHh4ejBkzBoD4+HgiIyNRKtNPguTv5fXr1zRr1ozOnTszZswYQkJCWLt2LYMHD+bjx48MGzYs1STS+oJKpSJLliysXLlSEIwwMDDAwMCANm3a0Lp1a27duqUlMmVtbU2rVq2Eeza9+weHDh1CLpfToEEDQVAhNjaWN2/ekDFjRjw9PTlw4AD29vYolUokEgl169YlMDBQTLKcDvlfuZ4jR45k/fr1nD9/nmLFivH48WM+fvzIu3fvKFGihCCGJpVK+fz5M1euXGHw4MEUKlSIwYMHp3Hrv4/vjR2ofQaVSoW5uTk5c+bk3LlzehFPuHPnDtWqVaNfv374+voKr6v7amZmRpkyZYTXIyIimDFjBrdu3WLx4sUAeuXf2tjYMGDAAP755x+OHz9OgwYNUCgUGBgY0LRpU+DfuHxoaCjZsmUjR44cadzqH8fCwoIaNWqwePFirl+/TnBwMFmyZGH79u3Y2dlx5swZ+vTpw9WrV/VaRN7e3p4sWbKQL18+AHx9fZk2bRp+fn6ULVuW69evs2jRIrZu3UqfPn2E+1pfxJ3VImBLly4lJCSERYsWoVQq6d69u04h+fj4eEaNGoWdnZ1eCchDol9rZGQk7BksXryYY8eO8ebNG548eUKjRo0YPXo05cqVS+um/hR37tzB0dERd3d32rZtm+zv+nKdvocWLVrg5eXF5s2befv2LV5eXvTq1YvatWujVCqZMGECERERrF27FplMJuz9eXp6AvrzXYSEhFC7dm2qVKnCvn378PHx4fXr1xgbG9OuXTv69u1Lzpw507qZP01ERAQRERE0adJEeK1Vq1Y4Ojry5csXQVyiYMGCadjKXycgIABPT0+GDRtGjRo1hHtPPU/kypWLxo0bky1bNvbt20eRIkWYO3cuhoaGODk56cW9GhERwdChQ6lVqxZSqZT169ejUqno1auXTlEJlUrFyJEjOXjwILdv39YLf/bdu3f07duXevXqce3aNfr378+SJUtS9HGUSiUjRozg2rVr3yUgn1548eIFhw4dIjg4mDZt2giiPWo0hSaVSiXR0dHky5cvWTl9Qb3GUAvIA2TPnp3z589TunRp4d6tX78+gYGBgg+vDwLy6niyi4sLffv2pWjRogCcOHGCOnXq0K1bN/z8/HByckImk6FQKFAqlXoTl9VFwYIFyZo1q3A9hw0bhrGxMYcPHyZ79uw8evSIzp074+/vr/ci8gBOTk5cvnyZBg0aULFiRU6ePEm3bt1o2LAhAQEBKBQKPn/+nNbN/GEUCgWxsbEEBwcTEhKCp6cnhoaGrF+/no8fP3LmzBkWLVqEtbU1/fv3T+vm/hRPnz6lYsWKeHp6MnnyZBISEti2bRvPnj0ja9asVKtWjVKlSiUTndJX8uXLJ6ynFQoFPXr0ABCE5IcNG4aVlRVr1qyhXLly2NvbiwLy6Yxnz55Rr149OnXqRMeOHfH392flypUcOXKExYsX4+TkRMmSJQkJCaFly5ZUqFCBr1+/smvXLk6ePEnmzJnTugvfjTpeUKhQIeE1uVxOUFAQ27ZtE0TCzpw5Q8uWLXn16tV3i8inB/5X9qkh8VyiTCbDwMCAXLlyCUJpmTJlEs6Qenl5IZFI8PHx4cmTJ2zfvp0BAwbo1RmSmzdvsmrVKho2bEirVq2EvaAyZcoQFBRE9uzZUSqVyGQy8ufPz4EDB/RKLPfRo0fs378fDw8PjI2NBZ9WoVBQp04dpFIpY8eOZdGiRUgkEpycnBg/fjxVq1alefPmadz6nyNr1qxkyZKFkSNH0r17dwYMGICtrS0TJ04kJiaGefPm0bRpU/z9/fVyvpTJZAQFBfHmzRvhtWLFigl+3fr16ylQoADOzs5p1cTfgpmZGe3atUOhUGBubs7atWvp1q2bICTfrl074XyFQqEgT548XLt2TRCtTO+xy5iYGGbOnEmFChXw9vZm1qxZODk5cebMGUxMTEhISMDQ0BBXV1datGiRzK7+jr0TzTlMpVKijPqMSqnQKhMSEkJYWBh2dnbCPKBUKrl16xYAjo6OQltiYmL4+PGjYCOfP39OkyZNKFSoEK6ursjlcoyMjJg2bRoDBw7k3LlzDBw4UGjDpUuXOHDgAP7+/pw5c0aIdWXJkoUsWbIka7+VlRVSI5Nkr6cFb9++pWfPnlStWpXjx4/Tu3dvVqxYkeIZIKVSibe3N48fP9armNf9+/epWbMmDRo04N27d3z48IH58+ezZcsW7O3t0/WY+xF+xgfaunUrgwcPFgTkVSpVuv4+Xr58iUwmo3v37sLewdGjR+nduzdLlizB3Nycrl27Cs+DiaRfoqKiMDc313nP2djYMG3aNC1/59mzZxQuXFjvzh3cv3+fGjVq0K1bN7JmzZrWzflj3Llzh3LlyuHl5YWJiYngzyxdupSzZ88SExODkZERtWvXRqVS8fbtW7Jnz64384gapVKJiYkJtWrVYuzYsbRv3542bdowc+ZMRo4cKQjJq7G2tsbKyormzZszbtw4oY70bGf/F/b84N8YkNqv1PRR1X783r17admyJd7e3igUCk6cOMH+/fupUKECdnZ2adj670c9NufPn8+gQYPSujl/hLi4OLy9venQoQOzZ88GwM7ODm9vb8LCwjAwMCBnzpxIJJJ0P/5Efpzdu3dTvXp1Vq5cCUB0dDSHDx9m2LBhNGjQgKNHjwq2S6VS4eHhwZEjR/TKXomIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIh8L2LGFT0gKioKU1NTIiMjyZgxY1o3569gZWVF586dhZ/VCWk1heQNDAzYunUrzs7OepX4EhJFe5o3by4kXKtatSonT56kTp06qFQqfHx8yJEjBxKJhHv37gkJV/QlAUJERATXr1+nT58+uLi44OLigre3NyqVioYNGwpJO0qVKqWVTCZpwrn02t+4uDhcXFywsLBgyJAhALRu3ZqXL18SEhLCly9fGDlyJGPHjtUSV9dXTExMMDAwoGDBglr9yZ07N69fv+bjx4/Y2toK1y9r1qz4+PhgaGioNwlXIPF+s7a2pmHDhoKYi0qlQqlUCkKi6nJq9DUxiZmZGcWKFWPmzJnY2tpy48YNVq1axcqVKylSpAg3btygf//+lC5dmgYNGqR1c3+IwMBAqlWrRqFChYiNjaVJkybJkrZLpVLh2rm7u7N161aePXvGtWvX9CbBVUREBIULF2bWrFl069aNSZMm0bdvX548eSKI+rZu3Zr69eujUChwd3cnPDwcGxsbpFKp3ghLzJkzh8uXLzNlyhSKFClCtmzZhGtnbW2Nj48PKpWKZs2acfjwYYoUKUKLFi0YN26cICAP6Xc+0cTQ0JAWLVoIIoUAK1eu5MqVK/Ts2ZPY2FisrKw4deoUmTNn1lshgs+fP/Px40fi4uKE116/fo1UKqVdu3b4+fnh7+9Pnjx5MDc3x8LCIg1b+2vkzJmTIUOGMHToUA4ePMiRI0fYuXOnkEC5adOmNG/enEuXLlGlSpU0bu3PERERkeL1bNu2LX5+fpw6dYouXbro3Zwpzif/rfkEIE+ePPTp04fOnTvTpEkTOnfuTO/evenXrx+RkZFaIs0PHjygZMmSepmk9sGDB+TNm5exY8dibm5OsWLFqFOnDkuWLGHSpElIpVIhyaU+ox6H6liA5th0dnamUaNGzJ49m7Jly2rNJZr3bHq1SW/fvsXa2hp3d3fevn1LgwYNyJcvHyVKlGD69OnkyZOHx48fM3HiRFxcXDhz5oxW4lp9EhyPiYnBwMCAL1++YG1trbf+TWr8L13Pe/fusWLFCqpVq0axYsU4duwYQ4YMQalUEhQURKVKlXB2dmbkyJFA4hx069Yt6tevz4IFCwD9WGN/b+xAjUQiIX/+/EydOlUvRKpfv35N7dq1adiwIb6+vsjlcjw9PXny5AnBwcH06NGDBg0aCOJMd+/eZd26dWzZsoUjR45QoECBNO7Bj2NgYED//v3ZvHkzixcvpkGDBsmEmQDCwsJwdXWlXLlyWoKc6Zlnz54hl8vJmDEjWbNmxdfXl1KlSmFra8vkyZPp16+fELtzcnLC0tKS58+fp3Grfx61kKbmfejg4MDx48epU6cOACVKlGDmzJk8fvwYSL/+QErY2NjQqVMnnJycKFKkCDKZjCVLlgDoFJI3MDBgypQp5M+fH9APO6umYsWKjBgxgr59+xIXF8f27dvZvn07Tk5OBAQE4OrqytGjR/VSRP7+/ftUq1aNQYMG4ePjg1KpxN/fn5cvX2JnZ4eTkxOGhoZCMnR9Zf78+VSoUIFq1apx+/ZtypQpw65du1i+fDk9e/YUbGzu3Lnp3r073bp1w8nJKdk6TF/u2bdv3/L582fu3LlDv379GDRoEFWqVOHo0aOcPn2ayMhIvL299TbWFR0djVwu1xIOe/78OWFhYYwePZqlS5eydetWxo0bp1e2RpMXL17QsmVLgoKCeP78OcuWLcPBwQGpVCr4BQ0aNCAsLAwXFxfKlSsnjFO1sJg+IJfLKVCgAE2aNMHBwYEBAwYI++9qUYmk8a9GjRrh4uJC6dKl07Lp383z58/Jly8fw4YNI2vWrNjb26cqJB8REYG1tTU3b97Um5je3bt3adGiBXZ2drx584aFCxeyYcMGQYxS876FxOs4c+ZM7t69K4gy6APBwcF8+fKFEiVK6Px75cqVhZ+lUikJCQlER0djb2+vF/EFlUqFSqVi+PDh2NjY4OLiQvHixQGIj4/HyMhIOEPi6urKunXrcHBwwNfXF0NDQzw9PfWin2pOnDjB169fiYuLo3379lhaWgr36axZs0hISBBEAIsWLYqpqSkJCQlp3Oof5/Hjx6xevZrY2FgsLCwYNWoUjo6O2NracuzYMd68eUOHDh2E81AJCQnkyJEDc3PzNG759/Pu3TuyZMmCTCbD3NycunXrcvLkScLDw+nTp48g0lyoUCFevXqFv78/PXv2xMjIKI1b/mMoFAp27dqFubk5NjY2ADRr1oy3b9+iUqkICQmhTJkyuLm50blzZ70aj9+D2p/r0aMHEokENzc3od/79u3j+vXradzC7+db88l/iQ0bNuDo6MicOXOAxLV1WFgYs2fPplevXixZsoR69epx69Yt3NzcuHPnDnZ2dvj7+wtzUHrny5cvZMiQIZkYmkqlwsDAgE2bNiGRSARfPXv27OTPn1+vxMb/V/apAdauXcv169dRqVR4e3sLZ6PVfc2YMSNdunRBIpEwadIkPnz4wPHjx8mfP7/e7Xe2bt2avn370rdvXypWrEiuXLkEIXl1jFZ9Pz948IBSpUrpzdwZERGBo6MjHz58ICIiAm9vb2QymVZsq1atWkybNo1x48axaNEiZs+ezdGjR+nUqVMat/7HuH37Nrly5SJz5syUKlWKHj16sGfPHjZs2IBUKmX79u3C9YyOjsbd3Z3Xr18Lwrn6gkqlwtjYGAcHBwIDA/n8+bOwZ5krVy5cXV25fv06x48f13sReUDwX9X37Lp16wQheYlEQseOHQkPD2fx4sVMnDiR8uXLA+k/3v7x40esra0pW7YsVlZWtGvXjuzZszN8+HAtIXn1+vN75kqlUklCQoLWeSGVUoHiy3tUCjmG1jmEsgmf3qCIfIeBVVYMrP5/70KlIuFjCICWjZDL5URHRxMbGyu838DAADMzMwwMDFAqlUJZGxsbTExMhDhrcHAwr1+/RqFQCP6Oo6MjDRs2pEqVKsJ6RE327Nlp2rQp48ePJ1++fL/wDf9dVCoVN2/eJG/evAwbNoyEhAQaN26cqpB8aGgoUVFRehXz+vLlC/369aN79+7MmjULuVzOzZs3qVWrFi4uLixdupRatWrp/dmSX/GBJkyYINST3r+DyMhIIiIiBHsRExODqakpK1aswMXFhSlTptCgQQNy5Mih99dUzX+lH5o8ePCAWrVqMW/evBR9N3VMT83mzZuRSCR6ZWejoqIYOnQonTp1Yu7cuQC8efOG0NBQ7O3thXL6fo3v3r1LlSpVGDVqFF5eXkDiOkQ9L9esWVOrfHR0NEuWLCE0NFSvBHy/fv2KhYUFFSpUEGLNpUqVYsuWLXTs2FFLSB7+9ZsGDhwo1JHefT3439jze/LkCevWrcPNzU2nTZHJZMjlciwsLNi7dy/Ozs507twZAwMDzp07pzfPM96+fZuqVavi4eHxnxWQh8Tz3mFhYVhaWgqvHTt2jFu3buHo6EjWrFkpWbIk69atS/fj73t5+fIl/v7+vH79mk6dOgnnTf8Xef78Oa9evRJ+NzMzo3nz5piYmDBkyBBhbaPe8y1fvjy3b9/WG3slIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIi8iP81BPVS5YsIV++fJiYmGBvb4+/v3+KZV1dXZFIJMn+aSbm9PPz01lGMxnU/yr379/H2dmZWrVqUaNGDRYuXKiVoP+/wsuXL1myZAlDhw7ly5cvWn9TqVRkzpwZNzc3unbtytGjRxk+fDhDhgyhU6dOhIeHp1Grf41MmTKhVCpRKpUoFAqqV6/OyZMn2bZtG2PGjOH58+cMGzaMESNGJPtO0jN37twhU6ZMuLm50apVKwoUKMDevXtJSEjAx8eHI0eOoFQqk71P12vpFWNjY+bMmYOlpSXDhg2jQoUKxMTEsHjxYs6ePcuqVavw8fFh4cKFad3UX+L169dcvnwZgLlz5zJ69GggcUxCori8lZUVlpaWQoK+gIAAoqKiyJ07t94kXNGkZcuW9OnTB/g3yZOlpSV2dnaCQCXApk2bePnypV4lJgkICNC6J0eMGEHz5s05duwYp0+fZtq0aXTu3JkKFSrQp08fypcvz6FDh9KwxT9OeHg4/fv3p1y5cpiYmLB48WIOHDgAICRUVqNOLNKvXz9u3LjBmTNn9CZRIiQmTKlbty4LFizg2bNndO3alW3btvHu3TsCAgIYO3Ysq1evBhLnWPW9rE/3LCQmaT18+DCzZ88mKCgI+DcZNiTOpTNmzKBnz540btyYMmXKYG5uriUgry9kzJiRESNGCIlmN23axOLFi9mwYQOHDh3i8uXLxMTECKKb+pqErnr16tjZ2dG3b1/WrVvH7t27qVq1Kg0aNGDkyJEULFiQPXv2APrXx9DQUI4ePcqmTZsAyJw5M6NHj+bBgwdCsrn69esL5Q0NDcmVKxfW1tZp1eRfpkaNGtja2n7X9dQn+yPOJ/+d+eTdu3daQqht2rTBzc2NYcOGERwcjIGBARKJREh4fuHCBUaPHs0///yDp6enluC4vvD582euX79OSEiI8JqNjQ1NmzZl6tSpTJ48mTNnzqRdA3+RY8eOMX/+fPr27cuyZcu4ceMG8G8yUzU1a9bkxo0bfPz4EUBr3KZnXrx4QfXq1Xn48CEAM2fOxN3dHUNDQyZNmkShQoUwMjKiZMmSdOvWjXfv3mkl1dMnHj58SJcuXXB0dKR27drs378/mY3Vd/6Xruf9+/cpVaoU8+bN4969ezg6OtKvXz/69evH/v37efr0KRUqVGDLli0cPnwYgLx589KnTx+9EpBX8yOxgxcvXiCVSvVCBFilUhEREUHZsmV5+/YtFy5coFmzZty4cYM8efJQunRpli5dio+PjzDPFC9enHr16nHp0iW9EnJetGgR3t7ewu9WVlasXLmSI0eOMH/+fODf9cjnz59ZtWoVDRo0IG/evPj5+QHpf27x8vKiffv2lC9fnr59+3LhwgUAunbtSu3atZHJZFqCIMHBwcTExOidmM2bN28ICAgAkq85VCoVjo6OgoC8UqkkNjaWokWLCvtT6f06JiVr1qx069ZNELWZNGkS3bt3Z8mSJaxdu1bYKwkJCSEkJASZTCYIyKtUqnRtZ2NjY4mMjBR+HzJkCLNmzSJbtmx8/PiRvn374uzsTKZMmahWrRr29vacPn1aywfUB1QqFQsWLCA6Oprhw4cDCGvo/v37M2jQIBwdHYmNjRWSuusbKpWKa9euMXbsWPLmzQuAnZ0d9+/fZ8CAAdSoUUMr5qMWTdNX1NcoX758vHr1iosXL9K0aVNGjRpFzZo18fb2xtnZmaNHj+rVXl9SSpQoQYECBZg0aRKTJk1i3bp1VKhQgSZNmtCjRw/s7e05efIkoF8xIDUJCQls3LiR0qVLExgYiLGxMa6urly+fFkQ9QMoXbo0U6dOFfweffDxkpIlSxbGjx9PgwYNyJgxIwsXLiRv3rxs2LCBFStWCP3VFG6uXbu2XiVnL1q0KIMGDaJUqVLY2dlx7do1Hj16RP/+/YX1GSDMIZkzZ2bUqFGULVs2jVr8Y9y5cwcHBwc6duzIkSNHOHXqFPny5cPT05PIyMhkAvIHDhxgxIgRLFy4kB07dgi+QXonMDCQ/PnzU79+fe7evftd75k8eTJXrlwRxLnTOxKJBKlUioODA0FBQcTHxwtzopGREXK5HICTJ09SuHBh3NzcaNu2LVOmTKF58+Z6tYcyevRo+vTpw+jRoxkyZIjWXpdSqcTAwEBLbOrp06fExcVRrFixtGryT/HgwQMcHBx48eIFX79+ZfPmzZQvX55t27aRK1cuBg4cyNSpU7XuUbUYilqkPL0TGBhIrVq1WLdunfBao0aN2L59OwcOHODz58/C6zY2NuTKlYsnT57opV8rk8no3LkzHh4eLF26FBsbG4yNjdm1axe3b9/m+vXrmJqa4ufnp7WW0RfU9kZta5KiHp8A3bt3Z8WKFUybNo09e/Zw4sSJ//R8os98/PiR2NhYFAqF4M+VLl2apk2bUrJkSVasWEF4eDg5c+bk8OHDnDp1irVr1+qNgPzDhw9p2bIly5cvBxD8Hkh+tkDtq69duxaZTEbu3Ln/bmN/kv+lfeqxY8fi6+tLyZIlady4sSCeGh8fr2WDMmXKRLdu3ejTpw+rVq2icuXKwvozvc8v8fHxWr/37NmTfPnyMXPmTKKjo4X1s/r+jY6OZty4cWzdupXx48djYmLy19v8M8TExFC6dGlq1qzJvn37BME7tZC8+jrVqlWLiRMncujQIc6fP8+1a9f0aq05ZswY3N3duXv3LrGxsZiamjJ48GBOnjxJixYtUKlUWkJ4lpaW2NjY6GXsQCKRYGFhQdOmTVmxYgU7duzQGm9FihShefPmbNmyhffv36dhS3+OR48eceXKFT59+qT1uvqehUQ/vUqVKsyaNYvZs2dTvXp1goKCMDMz0xLhTK/cvn2bWrVqcefOHfr06UOHDh2QSqVUq1aNWbNmER8fT82aNYmNjUWlUhEWFsbjx4+1fMSHDx9y7949rXqDgoK4dOkSoaGhWq/LP79F8fUDKmXSeL0KleJff1MilSE1tURmlknrnsqWLRtly5YlV65cWu+uVKkS5cuX1zq7kyFDBuzs7ATR9NKlS9O2bVtcXV2ZPn06ixYtwtPTk9OnT7NgwQL8/f3ZsmWL8P48efLg7OysV8LGkDguy5UrR8+ePalQoQJVqlThwIEDHDlyhN69e2utSdTfba5cuZg3b57exLwgUXT848ePODs7A4njskyZMjg4OCCVSuncuTPh4eF6fbbkf8EHUlOjRg2srKwYM2YMkCg0HhcXB8CGDRswNTXFx8cH0L+zwgCPHz/Gx8eH3r17s23bNh49eqTX96YuQkJC6NSpE4aGhvTo0YPNmzfrLKe+fnfu3GHUqFEsXLiQ1atXY2tr+zeb+0vExMTw4cMH+vXrB0CTJk1o3LgxFStWpE6dOmzZskVrv0gfefr0KWXLlqV///74+PgI+9Zubm6MHDmSrVu3CmWVSiWBgYH069ePxYsXs2fPHr1ZV7u5udGmTRsUCgUWFhZky5YNSNwTKl++PFu2bOHBgwfMnDmTa9eu8fjxY1q3bi3YWDXp2ddT81/f8wsKCqJatWosWrSIxYsX8/LlS53lDAwMUCgUmJubkz9/fszNzbly5YrwTE565/Hjx1SsWJExY8YwY8YM5HI5x44dY8WKFZw7dy6Z763PqM+lPXr0iDFjxjBixAhmzZrFvHnz2LZtG8OGDePy5cssXbo0rZv6W7h37x7VqlVj2bJl+Pj44OTkxIcPH9K6WWlG7dq1AbTyUBgaGlKrVi0GDRrEzZs3efTokfB6hw4d9MZeiYiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiPwoP5zVYNu2bQwdOpSxY8dy69YtHB0dadSoEcHBwTrLz58/n7CwMOFfSEgI1tbWtG3bVqucpaWlVrmwsDC9SYL3p3j8+DG1atWiTJky9OrVCxcXF4YMGcLQoUO5dOlSWjfvt3H//n2aNWvGgwcPkEqlQmIvdRIkdUIkGxsb3Nzc6NKlC/Pnz2fDhg1cu3YtWdKw9EhYWBhbt27Fzc2NAQMGCAJZUqkUiUQiJJ+rXr06p06dYufOndSoUYOlS5cyffp04TtJ72zfvl1IeF2uXDlKly6NQqEgS5Ys7Nu3j4SEBLy9vTl27BiQKES5bNkyQD+SrGgmWXNycmL58uWcOXMGS0tL/Pz8qFq1KiVKlMDFxYUJEyawdOlSwsPD9TIZVFRUFP369WPcuHGcP39eeF0ul2slP1KpVEL/Ro0ahaurq1aSmfROTEwM796949KlS9y5cyfFciqVSkgQOXbsWPr3759iMu30yP3796lYsSJDhgzh6tWrQKKIxpo1a1i5ciUmJiZCYie5XE5cXBzm5uZ6lygxIiKCzJkzM2nSJObMmUNsbCxLlixJMaGyoaEhpUqV4tq1a3qVSFmlUmFsbEyXLl2Ii4tj9+7dyGQynJ2dOX36NFu3bsXDw0MoHxAQQJEiRfTGFqntilKppEmTJuzevZsdO3bg4+OjU0g+Y8aMdOnShfj4eJo0acLZs2cB9EJ8KjAwkGXLlgn2xMzMTPhb/vz5OXToEK1btyZ//vxky5aNChUq8PXr17Rq7k8RFRXFp0+fiIqKAhLH4dmzZ7GwsGDatGmMGDGCoUOHMn36dCAxeam+CcBBYpInJycnPDw86N+/P/b29kDi/Vm4cGEyZ87Mx48ftZLrnjx5EgsLC70SkX/58iUrV65k+fLlnDx5EolEgr+//3/ueorzyX9jPgkLC6N48eJ06dKF7du3C68PGTKEPHny4OPjI9gmNefPn2ffvn2cPXuWkiVL/u0m/xYKFy5M+fLlWbx4MadPn+batWvUr1+fPHny4O7uTrVq1QShVX1j9OjRDBw4kC1btnDnzh0GDRpEp06dmDZtGpCYPFo9p44cORJjY2PGjx8P6E+y4Xfv3hEfH0/+/PkF+zlt2jTWrl1LoUKFgH99HGtrazJnzqwlRqAvBAQEUL16dXLlykXr1q2pVq0a7dq148aNG3pzrb6H/5XruX37djp06ACAs7MzkydPJjw8nI4dOzJ48GAKFSpE3rx58fLyIiIiQiumqU6Int6FjX8ldqAvvlBQUBCjRo2iRIkSjBs3jixZslC7dm1UKhX//PMP8+fPx8/PD3d3dw4fPkxgYCCQmIi3YcOG5MmTJ4178P28fPmSwYMHM27cOJycnLh27Rrv37/HwcGBfv36sXnzZm7cuCGU//LlCwkJCTRv3py9e/cCpPvk4F5eXixbtgwvLy/Wr1/P/fv3kyVgtbOzo2fPnmzbto1NmzbRqlUrChUqRJcuXdKw5T/Go0ePqFChAuPGjeP27dvJ/q5LWGvmzJncu3ePWrVqCWX0DXXsQG1fNIXk161bh7+/Pw0aNGD16tVa70vPfQ0ICKBTp07UrFmT9u3bC/HLIUOGMGXKFDJlyiQkd1f7eyqVihIlSqTrfulCIpEwa9Ys6tWrJwi9mJmZsXLlSoKCgli4cCGxsbG0atUKhUKhd/2DxD6am5sLgkoqlQq5XE7WrFmZM2cORYoUAf4VOZHL5RQtWlSv4iOQKOz34cMHYmJiAOjWrRtxcXEMGDCAx48fa/kAvXr14t27dzptVXrl+fPnzJw5k0mTJvHPP/8AcPjwYUqXLs3BgweZM2cOHh4ezJ07F0gUekrP/lxqfPr0CUNDQ6pVq0b79u0pVKgQ165dw8rKiu7du3P58mWt66m2w/oQf06JzJkzI5FIiI+Px9ramkWLFpEnTx42btzIihUriImJwcPDQysupE9YWlpib2+PVColPj6eHDlycOPGDS0h+fj4eGbPns2GDRsAtMTI0jOvX7/GwcGB7t274+3tjaWlJXnz5sXOzk4QoUy6l/vw4UPu37/P+fPnKVeuXBq2/vv58OEDQ4cOpXXr1hQqVIjmzZunKvx76NAhunfvzvLly9m3bx8FCxb8i639edRzYfbs2Xnx4gVKpVLLlqqFTyBxPyEiIoIrV65w/fp1vYpd+vr6snbtWnbs2MGhQ4cYMmSI1vXU3PNLSEjg2bNnwt5Y0nNl6ZmoqCgGDx6Mq6sr27ZtY/Xq1dy8eZOvX78yceJENm3aRGxsrFD+2LFjdOvWDT8/P/z8/PTCF7p9+zblypUjICBA2I8FaNWqlXAGatWqVVy4cEH427t37yhcuPBfb+uv8Pr1a+Hn7Nmz4+bmRtu2balRowZTp04VzlDky5ePiRMncvLkSe7fv59Wzf0pQkJCqFatGq9fv9ayNUlRC3THxcXx6NEjrKysuHTpkt4IMP3ofKKvaJ5dsrGx4erVqzx48IC4uDhevXqFu7s7zZo1o3Pnzpw+fVo4+6aec4yMjNKk3T/Ky5cvad26NdevX+eff/7Bz88PQEtoU/07QHBwMKNHj2bZsmWsXr0aGxubtGj2D/O/sk89efJkli9fzvLly+nRowdNmzZFqVQyYMAANm7cSGxsrGCDIHE8r1q1ilatWgnChuk9RhsUFIS9vT3r168X9mbLly+Pk5MTR44cEV5T2+B9+/YxYMAA1q9fz9GjRylRokSatf1HyZ49O1WrViUwMJBevXpx4sQJhg4dCiTu36rHaHx8PHv37sXExITz589TpkyZNGz1jzFx4kRWrFjBuHHjqFWrlvBsg1QqRSaTYWtrS8aMGfH39+fTp08EBwfj6elJxYoV9eb85caNG/H29mb8+PEcOnQIgJ49ezJixAgGDBiAn5+f1pk1W1tbSpUqhbGxcVo1+aeYPHkyrVq1omHDhpQsWZIdO3Ygl8sFe6MpJO/n50eRIkWYMGECFStWZNeuXUD6F2++ffs2lStXxtHRkfz58wuvx8XFcf/+fczMzPD19SUhIQEnJycePHhA//796d69uyDuLJFIePv2LR8+fNDyFQ0NDZPPvVIZMovMyCyzarXDIIMNxtmLYZDJTut1oyx5MbTJhYGBgfCaqakpGTNm/O7nhjTvxUyZMtG1a1e8vb0pVqwYmzdvpnjx4nTv3p3Fixfj6urK1KlTuXLlyr9tTsfzR1JevnzJxo0biYmJIVu2bDg5OQGJ82C1atU4ePAgR44coU+fPsKe5vLlyzl+/DiQ+N3qE0ZGRiiVSmFfUyKREBYWRnBwMIsWLSJbtmyMGjVK+Ju+8V/3gdRxD/UaxdjYmJkzZ3LmzBlGjx4tvBYfHw9ApUqV+PTpU5q09Vd58OABlStX5vLly9y+fZsZM2bQunVrjh8/nsxO6ityuZw9e/ZQsGBBdu7cibu7Oy4uLikKyT979ozNmzdz9OhRzp07p1e+HiSOLZVKRUxMDN26dUOlUjFv3jxu3ryJiYkJixcvFuJh6d0XSIk3b94AifP5169fqVmzJtu2bSM0NJQHDx7Qu3dvpkyZAiT6uTY2NtSvX5+LFy/qzd7C8OHD2bNnD9OmTUMmkwmvK5VKYW1Svnx5tm7dKohYV6lSBVNTU+rUqZOGLf95/qt7flFRUYwfP5569eoxaNAgTp06xfz581MUkpfJZCxYsIAVK1Zw4sQJvVlTx8fHs2zZMqRSKY6OjgA0a9aM4cOH4+XlRdOmTXF3d9c686VvvH79mtu3byOXyzE1NWXAgAEUK1aMt2/fcv78eWbNmkWHDh2oWrUqzZs3J0OGDLx48SKtm/3LvHr1ipYtW9K3b1+OHDnChw8fiIuL48yZM1rl9HVO+RnKlSuHXC5n+fLlWtfYzMyM1q1b8+DBA60zNenV5xURERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERH5HRh8u4g2c+bMwc3NjZ49ewIwb948jh49ytKlS/Hx8UlW3srKCisrK+H3PXv2EBERQffu3bXKSSQSQQTiV1AqlSkmXdFMuPytxCy/I9G9rs9I2obUHmhesWIFdevWxdfXV3go/OHDh2zcuBGpVIqFhYWQHDqpqLPm/99qw6+QNAmnuh1J69XVT4lEwsOHD3F0dBSSzWXNmhWVSsX27dsxMjKicePGGBkZCQmRrK2tCQwMxNzcnHPnzlGiRIlk/UypDb+CSqUS6tUUzdbVJ83/VSoVDx48oEePHpiamqJQKPjw4QPr169n8+bN7N27F1tbWxQKBVKpFIVCQdWqValbty7+/v7cuHGDkiVLCp/3PW341X5+q171/aOrXFxcHK9fvyYyMlIQvlcL+dnY2LBnzx6cnZ2ZMWMGL1++ZPr06VSpUoU+ffpo9S1pm1Jqw8/yPTYi6eeqRQqXL19OsWLFAKhZsyaHDx/m3r172NjYaL1HJpNhbW1NpkyZdI5PTZKKGX2rnd9D0vemVG9KY9Pc3BwXFxeWLVvGnDlzkEgkVK1aFZlMpmVjIiMjkcvljB8/ngULFnDmzBmsrKy+OUZ+1/hU29HU6k3aR/XvgYGBTJo0ifv37/Po0SOUSiUdOnSgf//+VKlSRagvNjaW9+/fo1KpmD59OnPmzMHf35/8+fNr9TOtx6fm96BZ7s6dO1SpUoUWLVrw5MkTzp07R8WKFVEoFBgYGGBqakqRIkXYtGkTVatWxcTEhPnz5/P06VOaNm2azP5ptud38r3zcmqfW7hwYaZNmyYIMs6cOZORI0eyZMkSlEolzZo1AxIFCNRJKPv37y+8/1v252/5BqB7bIaFhSGXy8mdOzcAjRs3Zv/+/cycOZOOHTtiZ2eHVCrFwMAAlUrF3bt32bhxI35+fpw/fx4TE5MUbdDv9A0060it3pTsT1RUFObm5kLy6zp16rBp0yY6d+6MUqlkzJgxFCxYUPANwsLC6Nq1K3Xr1sXPz08QoNdMpvgnfANd/dWFLt8AEhO22tvbM3v2bMG2qv8mlUqpUqWK1mvqn4sVKyb8nHTcpzff4OHDhwwdOpTw8HAiIyNZunQp9evXx8LCglOnTvHmzRsSEhLIlSuX8N7w8HAKFCigde3Sq2+g5vnz5zRs2JC+ffvi6upKWFgY7du358qVK1SqVAkAc3Nz7OzsmDBhArly5UIikbBr1y5Onz6dzIdI+nl/ynf/Ud/g7t27NGnShNy5cxMeHo6VlRULFy7EwcGBU6dOJbNRoH09NecTXZ/1N32DpJ+ddHyq5xO12JDmfKJSqXTOJ/369dOqQ7PeP2V7ftY3CAsLIyEhgdy5c6NSqbTmk06dOgnCb+r55M6dO8nmE8026Pr5d5Had/ct3yA2NpYCBQqgVCrp3r07/v7+dOnShUqVKtGuXTuWLFlCt27dqFy5MnK5HAMDA0aOHImbm1uK4zLp5/0ugbzv8d1Tih2EhYURFBTE+/fvcXZ2plSpUrRu3Zo9e/awfv16TE1N6dq1K9OnT0cikRAXF8fdu3dTvV5p5RuA7rEJMGXKFNasWcOePXsoUaIElpaWXLlyhUmTJjF//nykUimenp4YGBggl8uRyWTUr18fc3NznX1Nj76BSqXi9evXKBQKDA0NtXyZChUqCGXUc+OuXbuwsbEhc+bMKa5LNP//nXyrfymt7wHev39Pv3796N69O76+vkgkEt6/f8/t27c5f/485cuX1zlnqOtW1/u9/snP8i3fIKW5TY3aT1UoFFpxLQB7e3uhjPp67t69Gxsbm++yP+nFN1CjjgV9/vwZS0tLnJ2dsbOzI2/evEIfFQoFNjY25M2bV6d/p+7fn/ANktb9o77B48ePU40dqBOAx8TEfDN2kNa+e2rjc/ny5Rw7dowZM2YI4gN58+bF2dkZa2trIXbZvXt3vLy8OHnypFYC5e+NG2i24Wf4Fd9ATe7cuZkyZQqvXr0iNDQULy8vChYsSO/evRk8eDD79u3j0KFDgiBazpw5cXNzw8jISOd6U5dv8KvX91d8g0ePHrFnzx62bt0qXMtbt25haGjIvXv3sLCwIG/evKxatQoXFxd69epFkSJFqFChAkuXLtXqoyZ/ynf/Wd/g9evX9OrVi2zZshEaGsq8efMYMmQIZcuW1Sqrtjnnzp1jz549+Pn5cerUKcFGJa07LXwD9eenND5Tuh7quLtMJmPixIlIpVLmzp3Lhw8fqFOnDl5eXjrjet+K2/4Mv+IbBAQEUKNGDZydnXFycmL+/PksWbKEihUrCmVy587N9OnTadiwIVKplJ07d3Lq1CnOnTunNR41+dtxvW/5BhERERgaGpIhQwYyZMjAjh07aN++PS9fvmTTpk2CmJStrS29e/dm9uzZhISEJLtXk/K7fffv8Q0g5Zi7uk3x8fEYGxsLgi/q2JemMJBSqSQsLIw+ffpQtmxZSpUqlayvf8o30ORn4gbTpk3j5MmTPHr0iHbt2tG/f38KFy7Mhg0b6NGjB4GBgZw6dYq6desKIje5c+cW9kB11fu3/Xb15+san/fu3aNhw4YULVqUqKgoli1bhpGRES1atGDjxo1ERkYSExOj1Z8nT55QoEABFAoFEokkxTlR1zX+1eTf3+O7p8SrV6/o0KEDO3bsoEqVKhgbGwvlr169SqVKlXB1dcXPzw8HBwckEgknT56kVq1a32V/ktqI39XHH/HdP336xOvXr7lw4QJWVlbUrFkTW1tbVCoVhoaGyOVyMmbMyOLFixk4cCCbNm3Cz8+Pu3fv4u/v/13zRnrwDVI6d2FoaEhCQgLZs2fn5s2blC9fnoEDB5I5c2b27dvHrVu30pXt0WyDrvEZHBxM6dKlOX/+PG/evMHW1pbp06dz8uRJsmfPTs+ePbl79y69evWidOnS1K5dmxEjRtC7d28sLS1/aM8vrXwDgBcvXpAvXz6cnZ2pWrUqLVq0oHnz5uzdu5fSpUtrlVXHaBMSEjhz5gzFixf/Id/gd47NpPWm5BskJCQgkUgwNDQEEgVBZs6cSWBgYLL+SaVSYmJicHd3JzY2luvXr+s8I6Mmvez5qX//+vUrFy9exMvLS/DVS5cuzcWLF9m0aRNfvnyhd+/eSKVSIiIiWLFiBbt37yZ//vxs3bo12fokrcdn0nlL8zrExcURGRlJ3bp1UalUREVFYWlpib29PU+fPmX27NlUqlRJEPjNly8f0dHRnD17VjgTlF59A0g8c1CtWjXGjx9PxYoVadmyJZ07d6ZOnTqoVCq6deuGUqlk0qRJ9O/fn7x582JmZsbhw4c5e/asIC6aVr7B99ge+Hf/9sCBAzRu3BiVSoWtrS39+/fnyZMnFClSROv6xMfHU7RoUezs7L7pt8Pv8w1At++etN6U4npv374lOjqaBg0acPz4cWxtbYX1ZdKyEomECxcusHLlSo4fP07RokW/OW/8Td9A87OTjs+XL18K80mVKlVo2bKlMJ9oitl961qkte1Rt0HXPfzixQt27dpF2bJlqV27NuPGjePixYs4OjpSsGBBAgMD6dy5s3DOd9CgQVy5coUCBQpo1Z203t/tG0Dq1+9b41OhULBp0yYKFCjAkiVLWLBgAWvXrkWlUuHq6irEoNX3y507d5gzZw737t3jzJkzOtebmp/3vTbiZ/qoa3ym9F1KJBKKFCmS4j615rkn9d6mSqXSuU+t2cffaXvg13wDSLS1O3bsYPny5VSvXl3oT+XKlbl79y4lSpTAxMSEVq1aYWxsTFxcHCtXrqRmzZo6/YOU2vC7+Fnf4PDhwzx48ICdO3dy5MgRateuTc+ePZkxYwYnT55k9OjRHD9+XFhbli1blsePHzN27FjhjEV63/ODxPEpk8kYNWoUd+7cQSaT0adPH+bOnYtEImHOnDnCueiwsDC2bNnC4cOHBUG/9OIbpOS7q+eTI0eOsH79epycnLh58yY3btzg69evODg44ODgQLFixTAyMsLDw4O4uDhMTU3Jnz8/y5cv11l/evMNRo4cybp162jdujVXrlxh7969rFu3jq1bt+Lj44NCoaBnz57cu3cPe3t78ufPz8SJE6lcuTIWFhZ/zTdIyo/6BsOGDWPz5s0sX74cW1tbRo8ezZgxY3BycsLGxkYoK5VKUSqVPH/+nDt37tChQwc2bdok2B9Nn+lP+e5yuZyEhATBjwb4+PEjnz9/JmPGjFhbWyORJIqFXrt2DYVCgaOjI4GBgVSvXp0hQ4bQqFEj3r17h4WFBRKJBAMDA0Gs2dHREV9fX0aPHk3VqlUB2L59u3AeSCaTkT9/fmHdqv6uc+fOTZ48eYS+q79jQ+scyfogkaX+iNLP+gavXr2iR48eODg4MHnyZCQSCY6OjkyePJmhQ4eyfft2PDw8aNKkCb179yY+Pp7Pnz/j5+eHvb29MH/q4nf7Brr6+aO+wZQpUzhz5gxxcXF07twZY2Njwe9RqVRUqVKFgwcP0qRJE/r06YOJiQmbNm3iwYMH34zr/U3fQPNzk/6s2QZzc3Nq167NkSNHCAwMpEaNGgwbNozOnTtTu3Ztmjdvzvnz5/9qzDIpP/IMmmY779y5k8wHUigUVKpUSfCBjI2NadWqFSYmJsl8IPVnp7RP/bv4Wd/gwYMHeHh4kJCQQHh4OMOHD6dx48Y0a9aMR48esWbNGmJjY5k7dy6GhoaoVCpiY2OxsLAQ7unUzpLoasPv7Of3+gaQGNubOHEirVu3ZuXKlQBcvHiR1atX07RpU3bv3k2jRo2SnWP9nuv2t30DSNl3l8lkVKxYkWzZslG5cmXKlCmDUqnExcUFlUpFp06dtPqWJ08eevfuzdChQ8mWLdsvxd1/9rnPH/UNNDE1NSUuLo4VK1ZgYGCAp6enIOi8efNmnJychP+Tvj8t+6arbNK+PXz4kMePH9OiRQsOHTpEq1atWLhwIY0aNWL27NnkypWLT58+sXr1anx9falVqxbVqlXD2tqazp07pzjuU/PdfyTO8aNlUxqbw4YNw8/Pj3PnzlG6dGmtsay2LxJJ4hmvsmXLMnnyZNq1a0f79u3ZvHmzzrVmSr5BauPzd5VNbc/v/PnzZMyY8bfv+X2P7fkRO/Wtsqn5BoaGhlSrVo1MmTLRqVMnrKyshOs0dOhQLZ9UTbt27WjUqBEFCxbU6Welx/FpaGhI586diY6Opm/fvsTFxVG6dGk2b95MqVKlOHToEFOnTmXNmjVUrlwZAwODFG3a98wv39Penx2fuj7/7t27tGjRgoEDB2JjY0OOHDkoVaoUs2fPxsjIiFq1aqFQKIT3ZsiQATs7OywtLVOsM+nrv9LeXx3Luu5hdblbt25hbW2Nm5sb5ubmAJQtW5bnz5/j4eFBo0aNKFOmDNbW1in6Pz/SXvi94/NHyur6Ht69e4dcLhd8ApVKRYECBVi8eDENGjRAJpMxevRo4dm4TJkyUa5cuW+e+Yf0MZZ/ZdwnRd/69rfm+7Qu+7fm+79VFtLORvzNsqAf4+i/XDa9jWXRRog2QrMs6Mc4+i+XTW9jWbQRoo3QLAv6MY7+y2XT21gWbYRoIzTLgn6Mo/9y2fQ2lkUbIdoIzbKgH+Pov1w2vY1l0UaINkKzLOjHOPovl01vY1m0EaKN0CwL+jGO/stl09tYFm2EaCM0y4J+jKP/ctn0NpZFGyHaCM2yoB/j6L9cNr2NZdFGiDZCsyzoxzj6L5dNb2NZtBGijdAsC/oxjv7LZdPbWBZthGgjNMuCfoyj/3LZ9DaWRRsh2gjNsqAf4+i/XDa9jWXRRog2QrMs6Mc4Souy33qvmh8SkY+Pj+fGjRuMHj1a6/X69etz8eLF76pj9erV1K1bV3hgX83Xr1/JkycPCoWCsmXLMmXKFMqVK5diPXFxccTFxQm/R0ZGAokiKRYWFsnKq8VR1Dx8+DDFG83MzIz8+fN/V39SIyAgQOt3Y2NjQdgWEkXt1Am2kiKRSAgKCsLW1hZI/H5MTEzInz8/TZo04ciRI9jZ2TF9+nQArXrUD9DHxcUREhKCQqHQqledgA8SE41//fr1t/SxePHigpF6/fo1nz59wtTUlJw5c2rdrAAGBgZ8+fKFYcOG0bZtW7y9vYHExGfe3t5MmjSJTJkysWrVKpo0aYKRkREA69evZ//+/Zw4cYIiRYogl8uTtUn9Xbx794537979dN80iYqKEu6rjx8/EhYWpvX3zJkzC0nkZDKZ8D3cvn0bJycnevbsSa9evShQoABfv35l165dTJ48mYYNG3Lx4kVMTU2Ry+UoFArGjx/Pvn37uHr1KkWLFhX6qFlvdHQ0z58//y190yQmJoZnz57p/JtEIqFAgQJaopHqtqlUickJKleujI2NDSEhIRQtWlRIlieTyYiNjcXa2prdu3fToEED+vXrR5MmTVi3bh1KZWKyFXX/5HI5cXFxBAcHJzNmGTNmJGfOnL/Uz6RjE5LbCM17686dO1StWpWhQ4dSqFAhQQRDJpNRtmxZQVRe8z2hoaEUKVKEuLg4rUQdmgkuIFE8Jjw8HEhuI54+ffpb+iiTyYQ2QmISYQMDA+zs7HS+VyqVIpPJaNOmDVKplAULFuDr68vw4cMFcXV1f+3s7PD09GTt2rWcO3eO8uXLJxuXKlWiGGLu3LmT2YhfJSAggMKFCws2Ijw8nPfv3wt/10wgAggiNXfv3qVRo0Y0adKEkSNHkidPHm7cuMGkSZN48OABPj4+1K9fH6lUipGRETlz5mTs2LEEBgZy+vRpypQpo9VPzfGpy0b8DiIjIwkJCUn2ukwmI3fu3Jiammo5igqFglu3blGnTh2GDh3K5MmTGTlyJDNnzqRHjx5CshGVSkXNmjXx8/OjQIEClCtXjpCQEHbu3EmePHlQKv9NfKlSqfj8+TOhoaE625glS5af7p+ucanG2tqa7NmzC7/rsv1q1PO3XC7H3t6e6dOnM3LkSJYtW4ZSqaRJkyaMHj2a4sWL061bNy3hIs163759q3WPJrURP0vSfpqammol6P7w4QMZM2ZM9r6wsDAKFiyIlZUVGzdupEyZMtjY2DB//nz8/f3p1asXe/bsARLtjEKh4PTp09y6dQt/f3+KFy+e7HtTKBSEhIQgl8uT2Yjo6Ojf0s+SJUsKr7169YrIyEikUik5c+bE1NRU6z0GBgZ4eXmxZs0a+vTpg52dHe3atUOlUlG3bl22bNlChw4dUCoTheSLFCmCRCIhNDSUHj16MGLECORyuTCnqOcPzfGZ1Eb8Lj58+MDbt2+1XjM2NiZXrlzIZDKtNqhUKm7dukXNmjUZNmwYAwcOTGZP1H1Qj2UALy8vzp07x4QJE3T6BnFxcQQFBf32vkVFRfHixYsU/547d26tRE3q9t6+fZu6devSpUsXGjduzOHDh+nYsSPnz5+nePHiAILvJJfLCQ0NZdGiRZw6dYqzZ89q2R51GZVKxatXr5Ldn0ltxM+gywZZWlpqCaKnZHtOnDhBsWLFGDlypHDd8+bNy6NHj7h8+TLNmjUjV65cjB07lp07d3L79m2KFy+Ov78/JUqUICEhQau++Ph4goODUSgUyWzEkydPfks/DQ0NKVKkiPD68+fPkcvl5MqVS+f65O3btzRr1gwXFxfGjx/PrVu36NWrF5GRkcL3ojkHhIaGsmDBAuF66vruIiMjyZw5s/C72kb8KgEBARQtWlSw72/evOHjx4/C3y0sLMiePbswdpIK2KltR968eZHL5cjlcsqUKcP06dMZNWoUy5YtQyKR0KhRI2E+6dq1a7J2aI5PXTbid/Dp06cU52RbW1syZ86czDfQnE/8/PwoXbo02bJlY9GiRZw/f55evXqxb98+lEolCoUCuVzOyZMnuXXrFqdOnRKSdWnWq153xsfH62zHr5CSf2BjY0O2bNmE33XdYzly5KBZs2YEBQWxdOlSZsyYwYwZMyhSpAiTJ09m9+7dTJw4kf379wOJayFjY2Ot5OCa9UZHR/Pq1SvBl09qI35XP5PGI16+fEn27NmTrakB7t+/T7t27TAzM+PevXs0atSIPXv20L9/f5o0aSKM0XLlyqFQKIiJiSFTpkxUqFAh2bpEzbt37/jy5UsyGxETE/PLfUwtHmFtbZ3Ml1Tbo+DgYPbv38+8efMEMdGEhATs7e2ZOXMmo0ePZu3atdSrV08QW5fL5YwdO5YsWbIIc4iucZ/URvwudMUjJBIJOXLkwNzcXMtGfP78WUgSGBsbi5GREfHx8cI1T+pHBAQEsHLlSjZs2MDx48exsLDQ6RvI5XKePHny3QHCHyE13z1HjhxkypRJaK9mTAoS72mFQkGTJk2E+V6dIPLevXta/pwm6nWqut7AwMBkdatJaiN+Bl191IxH6OobwJcvX8iQIQMSiYSEhARBODUlPyIwMFC4nmfOnCFjxozJfAP1mvrr16/JbERq38OP9FNXPCIuLi7ZmhoS72V1cn2JRIKDgwM2Nja8evWKwoULY2ZmhqOjo5Cc1tDQEJlMxsuXL3n//j358+fX+X3I5XKtNcKvxiw10bQBSeMR6jW1Oq6gaSNu375N06ZNU4wdzJw5k3r16iGVSjEwMEg1dqBZb3h4+G+LWWqSWjzCzMyMvHnzJvMN1NStW5d9+/YRFhZGlixZqFmzJnny5CFnzpyoVCrhPn7//j05cuSgdOnSOm2Put6ka2o1dnZ2Wj7gj5KS/cmSJYuW35Fa3EAqlVKlShVmzJiBp6cnMpmM7du3U7t2bZYtW4azszO+vr60bNmS4sWLI5PJBEFZdb1qXykkJETYo0hqI34FzX4mjUc8evRI55oa/h2fnz9/1vLVN27ciKWlJRMmTKB06dI0atSIMWPGsGfPHoKCgrC0tMTa2lrnmjomJobw8HBBuAr+tRG/SmBgYIrxCM01tRrNtcqjR48wNzdnzpw5BAYGMnfuXObOncugQYMoW7asVtno6GhOnjxJUFAQp06domTJklr3iOb4/F0xy6SkFI/ImDEjtra2OtclGzZsoF27dhgbGyOXy3X6BhKJRPAbXF1d8fHxoU2bNvj5+SGXy4V7Ql1vcHAwUVFROtuYdM/uR/hZ3yAqKooRI0bg4uKCr68vMpmM7Nmzs3v3bj59+oSJiQkGBgb069eP27dvU758eYoUKYJUKuXIkSPC/aNZr+aaWk1SG/G7+qkZj1AoFMTHx+tcU9+6dYs+ffqwZs0aYd/TxMSEDRs2cP36dUGwUT3+MmbMiIGBgeAjprSmDgsL+6G9zx/po654REJCQrI1Nfxre9avX0/79u2RyWQEBwdr+UJqm6IuGxERwa5du5gxYwZFixZl1apVyfx20B73vyNmqQtd8YisWbMK923S8Tl27FjWrFnDrFmzePbsGWvWrKF69erkz5+fkiVLsmzZMrp27Urfvn1p3LgxhQoVYtWqVRQqVEhr/tSs9/37938kbpBaPEIqlVK4cGGhHepx9ObNG1q1aoWLiwtTpkzh5cuX9O7dW8vuW1hYCPuaQUFBrFq1ikOHDumM6anrTbqmVqNpI34WXTbI1tZWWGOm5LtDYgzr6tWrREVFCeKv6niQgYEBFy9epEqVKri6urJs2TK2bdvGhQsXOHXqlLDe1OT9+/d8+PABSG4jHj169Fv6mDQeERAQoHNNDYlz7YgRI3j79i2PHj1CJpNhYmLCjBkzaN68ubAXERcXR4YMGZgzZw7ly5cnJiYGf39/rXtWjVKp5N27d1p7tWob8auoxXnVaMYjNNfUagwNDYU1mNrWaNoQTRQKBXZ2dly+fJl8+fKRKVMmzp07R8GCBZP1UdP2/K6YZVJSikcYGhqSO3durf14TTtqb2/PnDlz8PT0pF69ejRq1Ij169ezbds2qlevTlhYGIcPH2bnzp14eHhQt25dtm/fjpmZmSAOrHmgLiIigjdv3uhs46/siaXmG+TKlQsrKysg+fhUj72SJUvi6upKhQoVkEql7N69G2dnZ1q0aMGOHTsE4V/1OqVWrVpUr14dMzOzZPWqVCrCwsL48uWL8DmaNuJXYl5J+6kZj0hISCAyMlLoq5pnz57Rvn177OzsqF27Nra2thQtWpTw8HCePHki7J9o8unTJyIiIjh37hwlSpRIcU0dHByMqalpMhvxqwQEBKQYj0i6pga0fFCZTMajR4/InDkzcrmc+Ph4Ro4ciUKhYOnSpTx79oxNmzbh7+9PpkyZKFKkCN26daNnz57J1iea9cLviVnqQlc8wszMjJw5cyKRSJKdzYqIiCBjxozCvXbmzBnq1auHsbEx4eHhhISEsH79erp3787kyZPZsmULkDjG1q1bJ8RPNPv2+fNnXr169dv79q0zVJrnLjRtz927d6latSrDhg1jxIgRPH36lEKFCnH27Fnq1KlDXFwcMpkMFxcX8uXLx61btzh37hw5cuTg7NmzlCpVSvgM9fhUKpWEhIQQGxur1QZNG/Gz6LrvNeMRKcXGb9++Te3atQWhO832Zs6cmYwZMyKRSLTG4P79+8mUKZPQ5qTjMzY2lpCQEJRKZTIb8fjx49/Sz6TxiICAAJ1ravh3fFaoUIEVK1bg4eGBk5MTJ06cwNbWVriW6rKQuG6rXbs2Dx8+1On/QOKZRk2f7ldjlmrU95rm75p+qZWVlfCdJrURCoWCEiVK4OrqKqzDtm/fTtu2bWnRooWWkHxCQoKwftGF5rj/nTFLTVKLR2TPnl3r+1WPz3v37tGuXTsqV65M9uzZhfjAoUOHWLNmDRKJBEtLS1q0aIFcLufx48dkypRJ2AOF5Osd9Vk9Xdf5V8/SpjQn5cmThwwZMgCp++7NmjUjd+7cODk5UaxYMfr27cvatWtRKpXCXq36PF+JEiVwc3OjUKFCZM+eXYjlqfny5QuvX78Wfte0ESnFTX6mj5rxiLi4OMLCwsiRI4dOn1VzD0Tto2ruU2uee2rWrBmenp6UKFGCbt26pRgLffPmDRKJJJmN+FUCAgJSjUdorqkh+fh88eIF7969o1y5ckLbvby8MDMz4+3bt/Tu3RtfX18SEhJo3bo1xsbGDBo0SPAnNM/TaNb7u2KWSdEVj5BKpeTKlQsTExOd57YBevfuzbZt2/jw4QOdOnVi8ODBXL9+naFDhzJ79mx69uyJj48PHh4eQOJ9OGjQIKRSaTLfIDY2lmfPnv1y3FkXqd0ThQoVEgSsNX2DwMBAduzYQb9+/TAxMcHMzAyVSkXWrFkJDAxk3rx5KJVKFixYgFKpZNasWUCiPXv+/LnW+X7Nca+5plajaSN+Zx814xGa858u5HI5nz59onr16uzdu5ehQ4diZ2fHly9fcHd3x9fXl8GDB7N161b27NlDdHQ0dnZ2tG/fPtm+p+a5p6Q24lfPfKn7mVI8IkeOHMmerZBKpRw9epTdu3dz8OBBypQpQ3x8PKNHj2bx4sV8+PCBw4cP4+3tTd68edm1axerV6+mYMGClCxZkhUrVuiM6SkUCq117a/GLFMiaTxCvaZWn9fWHEcjR45k3bp1XLhwQfAv6taty8SJE7l58yb169cXyqr7tGTJEmxtbVm3bp3WtdS8X54/f/5dMUuVSoUqIQ5USqTGZsLriq8RKGO/IjWzRGaW6FPGxsayd+9eYmJihPMPkLjPHh4eTqFChahWrRrw79l8lUrFtWvXaNiwIdHR0dStWxdLS0utPXf1OXJ1+ytUqICNjQ3m5uacPHlS6ywHJN4zSqWSV69eaa2p1RQsWFDrOv8oKdmfvHnzCveqLt8gPDyc3Llzs3jxYi5cuIC7uztOTk50796d69evs3PnTvr06UPhwoXZv38/27ZtI2vWrAwcODBZLFSNek2tvp80bcSv+n6a/Uwaj3j58iW5cuUSbK0m6ntt8eLF9OjRg6VLl6JQKOjUqVOyfaPKlSuzd+9enJycyJQpE/7+/uTJkyeZjxAVFUV0dPRvi1lq9lFXzFJN0meJNMfn06dP2bRpEy9fvqRFixY0atSIkSNHsmLFCk6cOMGjR48YMWIE48aNAxL3Vj5//kxMTEyy/Zik4/53xSyTklI8Qv0skea40/QNdPlAkydPxtzcnA8fPtC9e3d8fX2JjY2lXbt2mJiYaPlAMplMqFsul/Py5ctka+rfQWq+QUpxg8ePH1OrVi06dOhAhQoVuH37Nj169KBDhw54eXkxdOhQTExMmD59OleuXKF8+fJERkZy4MABzp8/n+whYHW9mmtqNZo24nf2UzMe8fXrV+Gciy4SEhJ49uwZzs7Ogj2pVKkS2bJlQyKR4OLiwq5du6hatarOsxRJbY6apDYipWe6frSPKcUjLC0tkz1LlHSes7e3x97eXvBPR44cKazBVCoVXbp0IS4ujpMnT1KyZEnBDiS1P0nHp677rOnGlz/VzxfTmwg/64pHqM89JW1DREQEHz58wMrKCgsLC0xMTJg2bRpdu3YlOjoaZ2dnIHEcm5ub07RpU65cufLNvqUWN9D1TFdKfsSPPPeZtF5N26NSqfD19eXz5880adKEOnXqsHfvXnx8fBg4cCA5cuRALpdjYWFBgwYNmDp1KsHBwVSuXBnQfb466ZpaTWrPdCVF04/4Vswyf/78OmP/mnh6erJu3TquXLki7DMpFArKly9Px44dGTFihFb5wMBA+vfvT4sWLdiyZQtKpZKEhAStszKa5540bURKz3SpSepHvHyZ8r2dNB7x4sULsmTJgrW1dbKyjx8/xt3d/bv2/CwtLb9rz0+hUPD161fhzPS3YpY/svepK2apJumzREnHkfqsi4uLi7AnPWTIEBQKBVu3bgVg2LBh5M6dm+joaKKiosiUKROZM2cW5k1d9aYWs0zpfIQuUjpnqatc7ty5tXw99fj89OmTcM1Kly5Nr169hPNZvr6+FCpUCLlcTv369Xn9+jUDBgxg3LhxWv5W0nhEeHh4imehdT3TlRK6ng1PCc3nNTTncPX3Ur9+fTp37kz//v21nndUP1NubW1NQEAA9+/fJ0uWLCxYsIBr164xZ84cIPEaqvcTQHtNrUbTRnzreQ1NP+Jbz31qxiN0Pa9ha2srXENd831oaChPnz7lw4cP2NjYMHfuXI4ePYq5uTlPnz5l37599OvXj379+ul8PgASx7O6vd96putH/IgfiUd8a18jW7Zsgn1U+xEPHz6kZcuWODk54enpKawtVSoVVapUYd++fXTs2JGPHz/SoEEDKleuzObNm3ny5AnFihX7KT9Cza/kj/gdNkImk5EnTx7hnoSU96Qged9S2/v8U34E/B0b8a3nNf6GH/E3bYQmf9OPSIm0shGa/C4/IimpxSOSktY2Ar7fjwDdz32KNkK0EaKNEG2EGtFG/ItoIxIRbUQioo1IRLQR/yLaiEREG5GIaCMSEW3Ev4g2IhHRRiQi2ohERBvxL6KNSES0EYmINiIR0Ub8i2gjEhFtRCKijUhEtBH/ItqIREQbkYhoIxIRbcS/iDYiEdFGJCLaiEREG/Evoo1IRLQRiYg2IhHRRvyLaCMSEW1EIqKNSES0Ef8i2ohERBuRiGgjEhFtxL+INiIR0UYkItqIREQb8S+ijUhEtBGJiDYikd9pI743Z5Hup4xT4P379ygUimRiC7a2tikml9ZEnbS6Z8+eWq8XLVoUPz8/9u3bx5YtWzAxMaFatWqpiiT6+PhgZWUl/MuVK9ePdCVdkFLyUTVlypTh8OHDPH/+HFNTU0JCQpg5cyYDBgxgwYIFLF26NFWR6ZSSwv4tUhKQVxMZGcnLly9p0KCB8NqxY8fw9vbm7NmzNGjQgJ49e3L48GHi4uKQSCQ0b96cy5cvCwleNXn37t1vSUL7o2gKyGvy4MEDqlatysiRI5k+fbpgNCwsLOjQoQOzZ8/m9evXdOvWDUBIOFKxYkWuX78uJKvVxZ8QgUsNdUJRXQIo6r8D5MyZk7i4OM6fP5+sjNpBiImJISIigg4dOrBr1y6AZEn9UxKQTwvu379PjRo1GDFiBNOmTQMShYc0nQbNe/z169d4eXmxdetWRo4ciYmJSYqCBZoC8n8Tc3NznQLyISEhvHjxQsvZa968Of379+fjx4/Mnj2bS5cuCX+Lj48nICCAXbt2cfnyZezt7ZPVqSl297fRJXYHcO/ePRwcHHB1dWXBggW0b98eBwcHBgwYwKlTpwgODsbb21uY19QCQC9evMDf3z/FfqYFuhLzqwkLC6N+/fr07t2byZMnA9C5c2esrKyE5DnqMebq6sq8efOYMWMG/fv359SpUzrtrFKpTNUJ/lN8a77UhVrUsFy5csycOZOYmBhWrlxJkyZNWLRoEaVLl07xvSmJ3f0NUhLMsbOzw9HREaVSyahRo5g1axZbtmxBKpXi6enJixcv2LBhA4AgYNC3b1/++ecfnfNJUrG7v0VKAvKQuIDcs2cPoaGhnDlzhmnTplG5cmWcnZ3ZtWsXxYsX58CBAxw4cIAlS5YIi4vy5csLyb2SCo7GxMSkKh74p0jNB1MnTOzcuTPTp09HqVSyYsUKRo8ezfDhw3ny5IlWHy5cuEDv3r1ZtWoVu3fv1hLu0+RvX0tIXMRpivaoefDgATVq1MDDw4N58+YxYMAA3Nzc+PTpE/v27RPKqW3QkydPWLt2Lbt37+bw4cNaCyI1KQnIpwdCQ0N58OCBkORr1qxZXLhwgZUrV7JkyRIqVKjApUuXqFmzJjNnzuTcuXMsXbo0WfJd0C129zeQyWQpCsgDXLx4kVy5cuHl5YWhoSEVK1Ykb968XLhwgdmzZ7N7926hbFBQEGvWrGHHjh0cOXJE5/VUi939bXSJ3X0Lzflk1qxZxMTEsGzZMho1avTN+SSt0ExMlhTN+WTMmDHMnTtXmE/GjRvHixcvWL9+PfDvfNK7d2+2bNmicz5RqVQpCsj/SVK6hh8+fBDsoUQiYciQIVy4cIFt27axZcsWunfvjr+/P9WqVaNu3bqcOnWKhQsXAqR4/0NyAfm/SUoC8s+ePaNp06a4uLiwZ88eLl++zPnz57l27RqQGMgsVaqU4NOFh4cza9Ysrl+/Tq1atXR+1rt37/6IoPq3SEnsTs2bN294/PixVhBMfQ8ULVoULy8vgoODhbWK+m+agoGayYbTIm6gS+wOEr/zsmXLsnbtWiDxPlSLhmqKnanvvTt37rB8+XKOHz/OsWPHUrVBUVFRf31NbWRk9E0hh4IFC+Lp6Un16tUBhICq5totpTiSGolEQu7cub9Z7k+iyw69e/eO8uXLa13PTJkyffN6njhxgtOnT+u8nulxTa0mtViQpk39+vUrDx8+pGnTphQtWpROnTolqyshISHVTZQ/RWpr6nv37lGtWjW6deuWYuxg6tSpWrGDuLi4VGMHaYVa7C41MmXKRHBwsJZIXf78+bW+G6lUypIlS4iIiKBSpUop1pWWa+qUWL16Ndu3bxd+r127NlWqVKFbt24ULVqUOXPmMHv2bMaMGcOHDx/4+vUr/fr1S3HspdWaGkhxTa2ZBNzKyoo1a9YwadIkIVn7pk2bOH36NLVr1+bAgQPcunULgAIFCpA1a1bhvUnX1GnhA6W2plav8atUqcKECRMoW7Ys7du3Z+jQoTx48ICFCxcKfYPEa2VsbIy7uztr1qzR2iBXk1ZxPbWAvC7evn2Lh4cHtWvXFkTgUprXpVIpb9++pXLlylStWhU/Pz8geYzk69evvySE9rNoJsZNikwm4/Pnz1obuefPn+fq1auUL18eZ2dn5s+fj62tLXv27OHQoUOsXbuWo0ePUrZs2WT1pdWaGhL7omtNcefOHWrVqkWNGjWSxVstLS2pVauWYGvV1+vixYsULFgwxe8uPa6p3759y7Bhw4T1prm5uVai7KSofcAuXbqwc+dOIPk+0Z8QVf8ekordaXLlyhX27NnDnj176NixI2PHjqVy5cpER0fz5s0boqKiqFSpEjdu3KBu3bo8ePCAAwcOULt2bbZt2wbotjl/+55Vi93p8qcfPnxIxowZcXd3RyKRkDdvXiwtLTl58iRDhgxh6dKlQtnQ0FAOHz7MwYMHOXr0qNaaTZO0XFOnhkqlonDhwpQoUUI4pKNuo4GBgXCfXrp0iUyZMlG3bl02btzIunXrhLlTE11id3+DlNbUavtTvHhx5s+fz5cvX9i/fz/16tWjf//+bNiwQfBlZDIZcXFxjB8/nsjISM6dO6dzfaIWDvvbPlBqa+pSpUoJazCJRJLifSaTyYiJiWH27NmYm5unuA+WlmiK3elC3bdKlSrh7e2NnZ0ds2bNYs6cObRt2xY7OzvKlCnDyJEj2blzJ1euXGHOnDk6fUdI3FP4njM+v5uU+vf8+XO8vb15/PgxUqlUuD5KpZIMGTKwa9cuChQoQJs2bbh79y4KhYLp06fj5+eHSqXSKVynS0D+byGTyXQKYZuamtK0aVNKlizJwYMHGTVqFO7u7nz8+JHjx4/r3IfNmjUrfn5+Ka7DUhKe+tOktqaGxO/f1NQUNzc39u7dS506dShVqhQZM2bk3LlzHDp0iEuXLvHw4UO8vb0BaNq0qXCeLKk/mxa+LGgLyCflw4cPFC9enPXr12NpacmwYcPYsmUL7du3Z9asWRQvXpxKlSpRqVIlRo8eTXBwMJ8/fxbGc0ox6bTYC8ucObPO8ZmQkMDUqVMZMWIEU6ZMARLXkU2bNmXRokW8efMGIyMjwZ+pXr06gwYN4p9//sHHx4fixYsnqzMlAfm/hS4fSL23OXz4cGbMmIFKpeLRo0ccO3aMsLCwZOKyt2/fZsyYMSxdupSlS5fqFHbSJXb3N/jWWUH1/Ve5cmW8vb3JmjUrdevW5e3bt8hkMuFaJiQkMHDgQJo1a4ZcLk8xhh8REUFERMSf6UwqaArIp4Su+WTHjh0UKFCAFi1a6JxP0hvZs2fXGXN/9OgR9erVw9nZmenTp9OmTRute9vNzY0ePXoIondyuZxNmzahVCq1Dl5rolAoUhSQ/5N8775tkSJFhNiyra0tCxcuxNraGj8/P629TfV5BEdHR+HwuiYpid39aaRSaYoC8imR0rmnRo0asWDBAp2xETVv3rzh8+fPv6HlP0Zqa2o1oaGhREdHCw9DAIwfP559+/ZhaWnJjh07yJw5M9OnTxfizOqymvHLtIj/gLaAfFI0/TGpVMqcOXOQSCRYWVlx/vx5Xr16xdSpU/Hz86NGjRpcv35d68GKlPa9Pn78+NdtlImJiU5f5f379zRo0IDJkyfTt29fRo4cyaVLlzA3N2fs2LHs2LGDEydO4ObmxuDBgzl06BD9+vXTqlcXabWmhm+fS4yLi+P9+/dcu3aN9evX4+7uzpEjR/D392fmzJl4eHhw+PBhMmfOTK9evRg+fDgdO3YEtH3atDz3pEtAXn1PPX36lKxZs1KqVCkUCgVGRka0aNGCsmXL8vz5czp06ABAnz592L59O3fv3mXHjh1s2rQJSB7Ti4+PT5Mz0amtqd+8ecOhQ4ewtbXVeqBHHa87e/YsgwcP5urVq4SGhgpixtOmTePcuXNA8vUJJNqhT58+JTtj8ebNGx4+fIgiSsNHUsiJf/OY+Lfaz3wo46NRREegjP/3YSH12EsqkpohQwby5cun9QCTTCajQoUKmJmZUbNmTVq0aEGXLl3o0qULMTExglifmixZspAxY0aUSiULFy7k5MmTHDlyROcZNkg8D58Wa+rUKF26NPPnz+f48eNERUUxatQoevfujUKhEOKw6jkwQ4YM9OjRg23btqUYu0yrNTWQooC8GpVKhbGxMWvWrCFv3rysWLGCzZs3ExcXh1QqFcZxfHw8W7ZswcLCgnPnzumMeUVFRaXJ2e/UniW6d+8e1atXx9/fn8DAQFq1asXx48fJnj07Y8eOxd/fnz179ggC8pD44GCxYsXS9KyILlJ6lkgTXT6Ql5cXhw4dwtLSkm3btpE5c2Z8fX1T9YEgcd7822vqpAKXatT2pF69esyZM4dOnToxc+ZM2rZty969e5k4cSKhoaEMGjSIkydPkjt3bkJCQlAoFPj7+6dof9JqTQ2JsaDUnr8zNTWlePHi3L59W8tG5s6dW9grW7x4cYpzvoGBAblz5071rOKfRpeAPCQ+S+Tn58fChQu1HkJWXwcLCwtGjRqFh4cH3bp1Y+PGjYwcORJXV9cU1zoqlSpNziNCyuee7t+/T5MmTWjWrBmVK1cW9ipr1KjB2LFjMTY2ZteuXXz8+FG4F4KDg8mRI8c3/fK0OPud0jofEsdu1qxZtc5k1a1bl3Xr1glC8eo+mZqakj9//lTjLWm1pk4NXb5efHw8VapUIXv27PTu3TvZe2JjY2nYsKFw9j2pr5dW555SEpC/c+cOTk5Owp7f58+fv3vP7+zZszr3/NTnnv52HCi1Z4mSYmZmhkQiEfw09Vrr7NmzzJs3j6CgIDw9PWndujUJCQnpKraXWoz21q1b2NracufOHaHNpUuXZvjw4Xh4eJAvXz7gX9trbW1NgQIFkq3pNPny5Uua2NrU4lzbt2+nSpUqzJgxA5lMxooVK5gwYQJz5szh/fv3mJqa0q1bN/755x+aNm1Kw4YN2bZtG/v27dP5vFR6epYotec01HTt2pVs2bJRr149mjZtyvjx49m7dy+bN2/m2rVr1K5dmxUrVqS695Xaeav0gKaAvJpXr17h6uqKUqnk5s2bLFy4kFevXiGVSpFIJCgUCpycnDh48CAWFhZMnz6dzp07c/ToUQ4ePEiePHnSqDe/Tkr7plFRUbx9+/avP2sjIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiKSvpGofuAp+devX5MjRw4uXrxIlSpVhNenTZvGhg0btBLa6cLHx0cQzk4t8ZpSqaR8+fLUqFGDBQsW6CwTFxenlaA8MjKSXLlyERERkaLAkWZSh28llFGXzTv6YKrlUuOZd6NU25D0q4+JiSE6OpqMGTMik8l4+PAhI0eO5PTp09SsWZMzZ87QtWtXli5dysuXL6lSpQp79uyhUqVKWg/eJ6036e+6vof8Yw7/ch/VidPU9X4r6eX58+dxcnLixo0bgiBheHg44eHhgphLp06d2LdvHxcuXKBs2bIpJnVQv560DUn52X4+92ks1Ksp+KX+zKTExsbStWtXdu7ciVwuFxJXaCb7iY6OxtPTk927d3Pt2rUUBWM0SakNmvxsHyGxn7rq1eyjZhvWrl3Lp0+fqFu3LiYmJhQqVAhnZ2dq167NoEGDhPLqOuVyOe3bt+f169eCwJ864cr39E2NVCr97WNTXa8alUoliO/kzJlTEEPr06cPd+/eFcagl5cXJUuWRCqVcu3aNXx9fbl8+TL79u0TkrWmND519TPp+PwdY1NX35Ly4sULChQogJmZGQUKFKB58+aUKlUKZ2dnDAwMuHTpEp6enmTNmpVBgwbh6OgIQLNmzZg2bRplypTRWW/SsZLS+PyVfuqqNyX7o+6nm5sbK1asEN4jlUpRKBTIZDIuXLhAzZo18fX1Zfjw4QAsW7aMOnXqpCjerPmZKd3DvzI2X0xvorPepP1U/x4XF8enT5+4ffs29evXF/6uUqlo0qQJMTExnDlzBkgcl6klO9Os93vG5++6Z5N+vmYbIDHRTUoClUnLAly9epW6detiYGDA6dOnhXkn6fhMrX+a4+hnbdCP+gaQmMjKyMiIHTt2cPHiRfLly0dERAT79u3DwcGB4cOH0717d2xsbFi3bh0WFhbI5XKtOedv+gbwbz+T1puab6BOFDNs2DCioqI4fPgwp06d4tChQ1y7do2wsDC6du3KhQsXePjwIe3atWPGjBmpJitTi8b+Cd8AEsemrnp19VP92vLly+nXrx+LFi2iWbNmdO3aFYVCgVwuJyEhgfv377NlyxZatmzJp0+fOHnyJEePHmXIkCE6hRa+d3z+ig+UUr3qz9ZsQ0xMDN26dWPnzp3ExcUJiSPHjh3L9OnT6devHw0bNqR48eLY2toKwj8BAQFkypRJKzHhj/oG8HvHpma96naoUY9LddsbNUp8f+XKldm7dy/79++nSpUqZMiQgSZNmvD+/XuuXLmS7J5MWu+f9A1Au5/fsj3qz5NKpfzzzz/06dOHPXv2UKNGDby9vRk/fjzNmjUjLi6OY8eOMXv2bIYOHYpEIuHevXvY2NikOD7Vn5fa+ux3+wage2x++fJFWD9+z9L42rVr1KlTJ9l8oovUbI+an+3nj/oGKpVKaz65cOGCMJ/s378fBwcH3N3dcXV1TTaf6EoA+zd8A0h5bOryDcLDw2nXrh0AGzZswM7ODgMDA+7evUv37t2ZNGkSTZs2BWDYsGFcu3aNS5cuUatWLfbt2yckW9PlR6TUx9/hG+jq5/eMz8WLF7N7924OHTqEsbEx8fHxNG3alMGDB/Pu3Tvq1atHtmzZkMlkBAcHM3bsWE6cOMHhw4cpV67cT/kG8Ou+nq56U/IP1K9fuXKFunXrsm/fPpycnLRE4dU+fNOmTcmaNStr164lISEhVcG19OQbhIaGMmnSJHbu3MmSJUswMzNj6tSpnDhxQkj6qFQqBX/9/fv3PH/+nJw5c6ZoY/+0bwCpj82kbVD/r+s70Ozb4MGDiYiIEMRevLy8tERhUqo3Jf60b6Drs0NDQ5k8ebJwPc3NzZkyZQonT54UfB7NpLMfPnwQrqemD/SjvgH8nnXY99gegLVr1/L582chFlSwYEGtWJDm9Y6Li2POnDns2rWLfPnyCSLeSZPv/knfALTjet/yDQBevnxJ/vz56dGjBytXrtRqc9LYwaxZsxg2bBgqlYrly5enGjtIC99A83M1f/78+TNKpVIroWnVqlUZNWoULVq00BqfKpWKHTt2cPbsWTZu3Mjp06eTCRR9r+1R2+DfPTYh5fEZHBzMgAEDOHToEH379qVLly5UrVoVgHbt2mFjY8OMGTOwsLDg3r177Nu3j3nz5tGwYUM2bNjwU76BSqUin+ehn+qjrn5+a3yuW7eOhIQEXF1dMTQ05OjRo+zYsQMbGxt27drFoUOHyJ8/P5AoTl2vXj0OHTqEk5NTqvVqvva7fQNI7OeP+Aa3bt1ixYoV+Pr66kyOvHXrVmbPnk3JkiUZOnQoZcuWxcvLi4YNG+Lg4KCzzu/xDeDXxmZK9abmuwPcuHEDFxcXrK2tOXXqFEZGRjpj6Wo2bdpE586dhc9Tf7c/Mj5/9r79Ud9AzcePH6lVqxZFihShVatW3L9/n3nz5jF79mxy5MjB/v37uXfvHrNnz9bak0xa/9/wDSD1uJ6uz7537x6Ojo7069cPHx8fIDFhckxMDFZWVmTNmlVr3nz58iWLFy9mzZo1nDlzhlKlSums+2/t+f1IXE8ikXDjxg26dOlC1qxZGTFiBNOnT6dv377kzp0bqVRKZGQkhoaGmJub8+TJExo1aiQIcf+Mb/Ar/VSPzaT1fmttcubMGbp168aOHTuoUKECcrmcggULkj17dh4/fkyFChVwc3OjXbt2gshTQkKCIJCWtJ9/0jeAb49NzZ/V+wSnTp2ifv367Nixg5YtW+Lt7Y2XlxcdOnTAwMCA9evX4+HhwfTp04HEe9rY2DiZqOjf8g1S62dq4xP+XU9WrVqVKlWqMGfOnGT3ujouMmjQILZu3crZs2cFUZsf9Q1UKtVf2/O7e/euIOLr7e0t9FUdhx44cCCbN2/m0KFD1KhRQ7BF6gT2Dg4OP+0bwK/ZoB/xDV6/fs3kyZPZsWMHCxYsENaPutagEomEoKAgOnTowOLFi1MU4076eb/bN4BEG/QzvoH6Z/Xe+6VLlxg7dizh4eGcOnWKbNmyERsbm6r4mGa93zov8yd8A3W9uvq2fPlyJkyYQI8ePejdu7cgkqFZNioqipYtW/LixQvKlSvHzp07uXfvnrB38jO+wa/47j/qGyRFHbN9/vw5u3fvZsWKFXTs2FGYP9VlUvrONOvR1QZIuz0/zb+FhYXx8OFDvnz5wpIlS3B3d6devXqoVCq+fPlCw4YNadWqFR4eHql+byqV6q/7Bkn7kvT3t2/fCmKFK1euxNDQkEOHDrFo0SJsbGxwdHTE09MTgLlz57J27VouX76cokDO947PP7Ufr/m/5rX49OmTED9QzykhISE0a9YMZ2dnxo8fn2zvK6X608o3SG0cae5tqoW+mjZtyqtXrwQbo94bs7Ky4tWrVwwcOJBnz56xYcMGIUbyLb8dfp9vkLSfP2J71POI+v/Lly/j4eHBhw8fOH36NLa2tkRHRzNq1CjWrl3LuXPnsLe3T7HuP73nl1K9uu63p0+fcuzYMZ48eULjxo21RFY1/YNvzSdJ+R7fAH7NBv2IbxAbG0uvXr2wtLRk0aJFwt+jo6P58OEDoaGhwhpapVJx8+ZNVq1axebNmzl9+nQyUdG/4RvAj+35QWI/Y2NjteKX6rlAPQ+FhoYyePBgPnz4QNeuXbl16xZr1qwhKCgIOzu7747rJW3D3/INkp57Sm2+B+1zT2fOnPmus3pJ26D5t9+95/e9vsH27dvp2LEje/bsEfZu1SQkJGBkZMSaNWvYv38/a9asSVGU60/6BvD9e37q34OCghgyZAhdunShVatWGBkZ8f79e2bOnElsbCwLFizg/fv3nDhxgh07dghihfPnz+f/2DvrgKiy9/+/pgApUREMVGwFAxMFUUDEVmywuwsbA1tMLBRdA7tjbda1UNTdtZM1VmxsUJFm5vcHv7kLyhB+Vpnhe1//KDNn7pwz95znPOc55z7voUOHpluHH+0bQPbjes+ePWPx4sXs2rULOzs7XFxcmDlzJl5eXtjb2/Pw4UP09fWZMmUK79+/Z82aNezcuZPg4OA056Oz6xvAf7vnl5mP/TXdu3fn7du3REREEBQUlMaWtmvXjrx58wr7Sep96u/xDeC/jetl1LY//viDOnXqsGLFCtatW8evv/4qrEMmTpzItWvXaNq0KatWrWLdunXC3PL1vft6TPzoPb/sxPVSj6GrV6/StWtXLC0tOXr0KA0bNkRfX59+/foRHx/Pnj17ePr0KZGRkdSuXZvhw4fj4uIitOnx48e8fv2aYsWKYWVlBaTsg54/fx6JREKDBg2E733w4AEvXryg265wFGaF/v81lMS/CEMilaNXqAwSacoeXHJcNKqEWKT6Rkj1DYU2JiQkZHhWJ/X/w8LCsLW1ZfLkyUyfPp27d+8yc+ZMTp06xcGDB7G3txdsZuo+sWrVKurXr/+ND5Qd3+BH7PllZ3wmJSWxfPlytmzZwsuXL1m+fDnTpk2jYsWK7N69O91rf33dH+kbgOa4nqa23bt3j3PnzuHo6EiZMmXQ09NDpVIRFxdHr169uH//PoMGDaJr164YGBigVCq5fPkyffr0ISgoiJo1a6Z73fTiej/aNwDNcb03b97g4uJCx44dhTVlmzZtaNSoEUOGDElTViKRcPXqVXbt2kVgYCDnz59PV3g8K74B/Pg9v9T/T/377t69+xsfSF1Wfc5p/fr1HD58OF0fKKvrEvh5voF6z8PDw4OyZcuyYMECPn36hKmpKVOnTuXixYs8ffqUbt26MWnSpDTX+/pMYlbjev+Fb5BeO7PrGwQEBLB8+XKmT58u+H5qVq9ezYwZM7h69SqWlpYar5tTvoGmM1x37tyhS5cuVKtWjUKFCgl7m2rUMSGA6Oho5syZw7x58zA1NeX48ePUqlUr3Xpo056fRCLh3r17ODo60rVrV9q3b8+KFSu4dOkSYWFhyOVyXr9+zaZNm5g8eTIuLi5YW1ujVCrZs2cP586dS9f+ZGd8fs8zrRmV/Xpswr+/uXqchYSEMHToUC5evIihoaHG8wY+Pj4cOnSIEydOpDmX+D2+e1b9iOyWTe/7lUol165dE3y9Y8eO4erqipmZGTt37sTU1FTo9+q1a+rf7ev1bFZ8g6z+Dtktmx7p7fmpYyNZ2fOzt7dP97pZ8Q3S438tm5FvcP36dX777TdMTEyoXr06rVq1Et5PPW8sWrSInTt3EhUVRUREBKdPn9boA+XU+NTkG1y/fp0GDRrQu3dv/P39v/lc6mfA1L/Z6NGjuXPnDrt37043jvRf1Pfruv8X47NPnz4UKlSI2bNnU6dOHYyMjPj06RNKpZJXr15x7tw5SpUqxZUrV7hx4waGhoY4OjpSrFixNO3Ljm+Q3fp+z1jW1Iffv38vnJ2wsrLC2NiYxMREgoODefPmDTt27ODgwYOoVCqMjIw4cOAAPj4+nDhxIs3Z4fTqkZX6gnaM5f3797Nq1SoWLFjAkSNH2LNnD66urowYMQIrKyuSk5ORSCRIpVLi4uL4/Pkznz9/Jl++fOTLl09jHXJyrs1q2fTG/Z07dxgxYgQRERGYmpoybdq0NM/4fv25zO5HTrUtNT9jvteGsj9yvs+JsvBzbUROlQXttRH/V8pq21gWbYRoI1KXBd0YR7m5rLaNZdFGiDYidVnQjXGUm8tq21gWbYRoI1KXBd0YR7m5rLaNZdFGiDYidVnQjXGUm8tq21gWbYRoI1KXBd0YR7m5rLaNZdFGiDYidVnQjXGUm8tq21gWbYRoI1KXBd0YR7m5rLaNZdFGiDYidVnQjXGUm8tq21gWbYRoI1KXBd0YR7m5rLaNZdFGiDYidVnQjXGUm8tq21gWbYRoI1KXBd0YR7m5rLaNZdFGiDYidVnQjXGUm8tq21gWbYRoI1KXBd0YRzlR9tOnT+TLl4+PHz9q1FQHSF9VSwPm5ubIZDJevXqV5vU3b95kKoCtUqlYv3493bp1y1BAHlIaVqtWLR48eKCxjL6+froJsKVSaZofJqPv+NFk9h3qAQ0pDwWPHTuWZ8+eUahQIaZPn46DgwPLli0jODiYqKgounXrhpeXF5CSRDJ//vwYGRmluc7X103v7+zUMTM0fT4r11XX/caNG4JAvKWlJZaWlkKCh9GjR/PgwQMhCYKmtqT3+n95j1NfP7Ux1oQ6udzz58+pVasWZ86cwcTERGhXcnIyRkZG9OrVi4CAAF68eJEmSVBW6pPVstkhO9d99+4dv/zyC8nJySxevJjo6Ghc/r8A4/v37+nUqROWlpaoVP8mGlIoFKxatSqNMMjX4tU/qm2pyUrfkEgkmJiYUKtWLaKioli+fDnbt2/HzMyMTp06UbRoUXx9fYVk0qVLl6ZIkSJ06tSJuXPnComI07tuev//3np+z2fT+958+fJRpEgRXr9+jaOjI8HBwezatYuxY8dSt25d+vTpQ+PGjfnrr79YsWIFAPXr1+fw4cMZXldTG/+r8fn1dTK7br58+cibNy+PHz/m7t272NjYCH1QLpeTlJSEvb09Li4uXLt2jcTERBQKBQMHDsxynXJ6fIaFhTF58mQ2btxI48aNhdfVybtmzJhB06ZN2bJlC127dtUosPm/1OF7yGqfkEgkvHv3jsqVKzNr1iz69OmTYVlISdi5ceNG5HI5oaGh6SbwUpfPafuT+vtfv36NpaWl4O84ODiwZcsWChQowNSpU+nQoQMdOnQgISEBGxsbfvnlFzZv3szgwYPTCMh/fd30/s5OHbNCetfI7LoymYyaNWuydOlSOnToQLdu3Th8+DCdO3fm8ePHPH36lB07dlC0aFFu3LiBRCLJMGEOfNvOH+X/Zee6AwYM4P379/j5+QniditWrMDc3BwDAwMGDRpEnz59sLe3p3DhwrRo0YLmzZsLYlOayGnboy5rYGAg+EB16tThypUrLF++nOXLl+Pt7U18fDwBAQFcunQJe3t7KlSowKBBgzSOy+zW4XvJqm8AKeJEDg4O7N+/n2rVqlGqVClOnjzJqVOnePPmDaampjRu3Jj4+HgkEglubm7s2rWLhISEdNcvP8s3yOjz6X3v33//zYULF+jVqxfly5enQYMGtG7dGmdnZw4ePMivv/5Kq1atSE5OZt68eaxcuZI2bdpgbW0tCN1p4kf67tnxDb6eTzL7/ePj49mwYUOm80lmdfqvyOrY0DSfmJubM23aNDp27Jjl+eR76/C9ZGdsmpiY0KZNG/bs2YOdnR0TJ06kadOmVK1alSZNmvD7779Tt25dzM3NWbJkCSEhIQQHB9O9e3dB3Dm96379/x9Bdn13gMePH/Pq1Svhvi5btowzZ84QHx9PWFgYixYtYuXKldSvX58SJUowYMAApk+fLqxTdME3UFOkSBGSkpI4cuQILi4uaeqq9uFjY2OF5OYZ9Vtt8w3U60pjY2MGDBhA1apVefXqFU5OTpiYmCCXy/n8+bMQRyhYsCD79u3L1C8A7fHdw8LCWLx4MW/evKFw4cJ07NgRJycn5HJ5mvpJpVISExORSCRMnjyZOXPmcOnSpQzXmTlpf9L7bisrq3TvZ7169bJ1P7XVNwB4+/atEAvy9/fPNBZkYGBA+/btKVmypBDT1BQL+q/bpun6WbmumZkZefPm5cmTJ5nGDq5evZrt2IE2+AZ2dnYUKFCAsmXLUqJECVq0aMHLly+5ePEiHh4eyGQy4T5KJBJevXrFvXv3CA0NpVKlSv9zHb6X7PgGakqUKMHGjRs5d+4cQ4cO5fr169SrV4/58+fTo0cPNm/ezI0bN6hXrx5VqlShQoUKdOvWjRIlSgCk+R00fUdmdcgu2fEN4uPjCQoKIjY2ljx58tCpUycaN26Mu7s7T58+5dChQ2nqb2pqSvny5b8RLdT2uN6NGzeoU6cOw4YNS5MUGf69R15eXkgkEhYuXMjSpUuJjo5m//79dOzYMcv7CjntG8C/dapZsyZbt27F09MTV1dXTp8+LQjJq8vcvn2befPmCXE+SN/Oqq+rDb5BeHg49+/fp379+hQoUID169fTt29fDhw4wIULF1i5ciU9evQAoE6dOpQtW5a//voLBweHDK+b+t8fRXbG5ufPn7G3t6dcuXKC2HaXLl24f/8+T58+xcjIiBUrVtC0aVNUKhUXLlxg06ZN/P7775w8eTLNulpX9vxq1KjB1q1b6dy5M61bt8bIyAgfHx9iY2NRKBTExMSgUChQKBQ4OjrSs2dP4bM/2zfI7nUXLlxIx44d0dfXR09Pj6CgIMLCwvDz86NEiRL4+/vz7NkzDh06xLp166hTpw7FixdHLpenEQ5Lb2xmtQ7fQ1avGxYWxu7du5k4cSI2Njb07t2bdu3a0axZM44ePSrEgADc3NwYPHgw3bt3x9bWVkjirgltiOul/v7w8HBevXpF8eLFyZ8/P3K5nJo1axITE5PutRQKBcuXL2flypVcvnw5TSwou77B//I7ZMf+REZGUrduXerWrcucOXMABN9OJpMhk8nw8/Pj6tWr+Pr6curUKaF+R44c0XhdTa9lVr/skN09v6JFizJlyhSMjY0ZNGgQEomEzp07I5GkiH6oP5+YmMjdu3epWrUqISEh6caBslqn/4rv8Q0AoV2JiYk4OjqycOFCRo8ejYuLC2fOnMHS0jKNmM9/VYfskh3fQM3AgQNJTExkxYoVKJVKBg0aJAjJq/09Y2Njdu3aRalSpTh9+jRXr17NULQnK+PuZ43Nr1GvIwEqVqxIxYoVMTIyYsGCBSgUCnr37o21tXWW/ABtiuv9+eef3L9/n8uXL2Nubk6vXr2wsrKicOHCJCYm4uPjwz///IO7uzsSiYS4uDiio6MpWLBgpm3RRt/d0tKSzp074+3tzdGjR+nTpw/du3fHy8uLhISENPbmwYMH2NrafhMT+1/rkB2+1/bky5dPsD9q36Zo0aJUqlSJI0eOMG3aNIA0Z4Myuq42+QaAsLf54sULatSogampKWZmZixZsoSyZcuyYcMGDh48iL+/P1OnTqVYsWIsWrSIPHnyULRoUY3Xzaw//4jYQVavqV43JiYmUrduXZYsWSLMJ8ePHycwMJD169cTGhpK9erVM7y2tuz53b59mwYNGtCgQQPevn3L0aNHsbKyYsqUKTg7OyORSLI9n2SlTv8V2bmuvr4+jx49EmwpwLFjxzhy5AibN29GIpHg4ODA1q1byZcvH1KplBIlSvDHH39QsWLF/6QO30N24nphYWFMnDiRx48fU6hQIby9vXFzcxOuIZVKSU5OxsrKioCAAIYNG8aIESOQSqWEhoZSpEiRdK/79f8zqsP3kB3fIKNzT+nVQdO5p+z4Bv+VDf5f9vwAOnTowPz585k0aRI2NjZpzljq6enx/PlzVq5cSfPmzbMsHpXdOmSHrF5XT0+P8PBwFixYwNatW1m9ejVFixalU6dOtGnThgYNGtC+fXs6duyIp6cnEydOZN++fbi5ueWYb5Cda6vrWLx4cYYPH46BgQGBgYEMHjyYK1eusGHDBvz9/blz5w4FCxZkxIgRmJubM3DgQAYOHKjxXmqjb/D582eSk5PTiPe6ubkxb9487t27J8Rn1WsvMzMzDAwMvjmDqc2+wbFjx+jZsycXLlygcePGzJgxA29vb6pVq8br169Zs2aNMD/Onz+fW7dufROf1VTnnI7rKZVKEhMTkclkwj1JTk6mQIECzJs3j7Fjx2JiYoK7u7uwh12qVCn69OnDtWvXOHv2LGfOnEEmk6VZWyYnJxMfH09CQoLwXQqFAlNTU2Ftp65PkSJFyJ8/P7IjkUJZiUSKgdW3/obMwBgMjL95PbPnbFJTqFAh/P39GTlyJAC2trb4+voC0KpVKw4dOoS9vX2aWAnAoEGDMryuNvkGX6MefwqFglGjRtGtWzdmzJjBmDFjMDc3Z9++fezcuRNPT89Mr5tTe37pXTcyMpJq1aoRHx9P9erViYmJoUePHlSoUIHWrVuzfft2evXqxYYNG1CpVHTv3h0DAwPKly/P2bNnyZ8/f7bakZO+wcuXL9HX16dLly5p9uGvXLlCu3btaNSoEU2bNsXa2pr4+HhCQkLYv38/ISEhGveqtc03gLR1ysgHUigUPH/+nMDAwEx9oOzWIbtk9dqPHj3i4sWLdO3aVRh3CxcuJG/evLx+/ZqVK1eya9curly5wuzZsxkwYIAQ/wE0xke0cc8vIiJC8AEKFy5MxYoVGTZsGCEhIXh7e2NsbIyrq6sQB6pTpw6mpqZ8+fIlQ3uTU75Bete9e/cu9evXp2/fvowfP54CBQoA8OuvvxIfH0+nTp2Es04ymYw8efLw6tUr8ubNy4ULFzJca+a0b6BGpVKRmJjIvHnzaNGiBUuWLAFSzpMMGTKEp0+fYmJiQt68eRk3bhzOzs74+/sTERFBvnz5OHfuXIZnZbJSh59VNiYmBiMjI8FHsbKy4tmzZxp9uqtXr7J27Vp27NjB6dOnNT6bkZ1++aPalt73q58/2bZtG56enhgbG+Pu7s6RI0eQyWSCD/Thwwf69evHnDlzKF++vMbv/y/jm9kt+zX/1Z5fVr/vR7Yto7J3796lX79+qFQq3r59i1KpZObMmfTp04fx48dTpkwZFAqFYIPGjBnDzp07ef/+PRcvXsz0mQU1OT0+b9++jaOjI97e3syaNQtIOcP35s0bSpcujaGhYZqzz0+fPmX16tUEBQVx7ty5DJMD5HTb4Ns+ZWJiwuXLl1mzZg1mZmZs374dQ0NDnj9/zpAhQ2jXrh1nz56lZs2a1KxZM9PrZqW/Zbe+/1UfvnXrFp07d0alUnH//n2mTZvGuHHj0NPTo1WrVqxdu5aPHz9iaGgofObUqVNYWlpiamqa5f3MnBif2S3r6uqKqakpVatWpWrVqgDs2bMHiUTC8OHDKVasmJA4JE+ePOTJk0d4xjyraEN/z0rZv//+m/r16+Pl5cXQoUNZuHAhs2fPTvOc79dJVLRhrhXLpqArY04s+y3a0H/Esrm/rDb0d7Fs9suCdvQfsWzuL6sN/V0sm/2yoB39Ryyb+8tqQ38Xy2a/LGhH/xHL5v6y2tDfxbLZLwva0X/Esrm/rDb0d7Fs9suCdvQfsWzuL6sN/V0sm/2yoB39Ryyb+8tqQ38Xy2a/LGhH/xHL5v6y2tDfxbLZLwva0X/Esrm/rDb0d7Fs9suCdvQfsWzuL6sN/V0sm/2yoB39Ryyb+8tqQ38Xy2a/LGhH/xHL5v6y2tDfxbLZLwva0X/Esrm/rDb0d7Fs9suCdvQfbSyb1c9m/RtISUpVo0YNfv/99zSv//777xkKOACEhITw8OHDDMVe1ahUKq5fv56pMGhuISwsTBB2Gz9+PG/fvmX27NkAlCpVisGDB+Pj4yOILQFs3LgRhUKh079R9erVcXNzY9q0aTx//hyJREJSUhKAkLxtx44dWFhYpEm8qwtIpVLc3Nzw8/NDKpXi7OxMdHS0IDSlTnh19epVISl4dgyfNlCwYEFCQ0O5dOkSZ86c4dixY7Ro0QIvLy/i4uJYvnw5ERERSCSSNA+1qx/uV6lU2TJyPxulUomRkRFBQUEUKVKEmTNnUrBgQTZu3Ii3tzcdO3bk+vXrvHv3juXLlwMpCXbat2+vUUBeW1Envbx58yZFihTh+fPnrFixgosXLzJ69GgMDQ3p3r07e/fu5eDBg+zevZuVK1cSFxf3TcICbUbdzgcPHvD3338zYMAA7t69K7yvUqmQy+UoFAri4+PTJO/XJdatW8eHDx8wNk6bXFJtd6ytralSpQonT54EUvq6rmFubk7Hjh0ZPnw4W7duzbT858+fOXr0KMHBwVlO/p3TREVFUb9+fWrXrs2FCxf49OkTRYsWxcfHh1mzZrFjxw5sbGy4du0aVlZWQoLSBQsW8OXLF50am6mRSCTUqFGDPXv28OjRIxo0aEBiYiLW1tbUr1+fgIAADh8+zB9//MHGjRuBbxOnaCNxcXF8/PiR2NhYACZOnMiQIUMwNzdnxowZWFlZCeKh48aNE8TDICUJfFaEYrWF1D6QRCLBwsKCKVOmcPr0aRYtWkRAQAC//fYbGzZsoE6dOvz666/ZSnyrDSQlJVGmTBkaNmzIzZs3yZMnD2XLlmXAgAHExsby+PFjAEHY+cGDBxQuXFgn+qqa5ORkunfvzoMHD5BIJFStWhU/Pz92795N06ZNadGihSAeJpPJKFSoEPr6+uTNmzeHa549xPkk98wnSqUSQ0NDRo4cyYkTJ+jbty9r1qyhd+/eHD58mA4dOnDs2DHOnz8vfKZBgwbMmjUrwySm2saDBw84c+YMAF27duXZs2fUrl2bdu3aMXnyZA4dOsTRo0d58+YNBgYGLFq0SPisk5OTzq1TIOXeFitWjHHjxuHv78/q1auBtPN/REQET58+ZfPmzXh6evLrr7+SmJiYU1XONlZWVowcOZJBgwZx9epVJBIJ/fv3p2bNmlSvXh13d3dcXV1xd3dn/vz5OuUXhIWF4eDgQFxcHDVr1uTixYv06tWLGTNmEB8fj1QqFexOXFwcBQsWZNmyZSxcuJDLly9To0aNHG5B9snN9xOyFwtSKpWoVCrKlSuXRkBem2NB8H8jdlCwYEFWrlzJ7NmzsbCw4O7du0yaNImIiAguXLjA5cuXAYT7CDBs2DD27t2bpaTY2oR6vihQoAAeHh6cOXOGevXqsWPHDurWrQvAq1evCAoKEj6jp6cnCMinFuvWRpRKJfr6+hw4cICiRYuycuVKduzYQVJSEhJJiiDjy5cvOXbsGHfv3uXvv/+ma9eulC9fHnt7+5yufpa5ceMGdevWZdy4cWn8GzWp+6qnpyfe3t5s27aN33///RvBX12jevXq7Nixg9evX+Pi4iLMn5Ayz7Zt25b79++n+Yy229nx48fTpUsXTp48SUxMDDVr1uTs2bNs3LgRKysrrKysgH/j89WrV8fc3DyHa519TExMmD9/Pvfv32fmzJk0aNCA169fM2HCBFavXk3jxo1p2bIlISEhSCQSKleuTJs2bQgJCcHOzi6nq//dVK9enS1btuDo6EjevHn5888/CQ8P59q1a4SHh3P//n2uXr3K3r17Ad2I640aNYopU6aQlJRE3bp1GTp0KM+ePePMmTMolUp2795NzZo1adOmDW5ubvzxxx9CDDA12jyfjB49mmfPniGXyylcuDDz5s3jr7/+on///jRs2JBmzZoJZc3MzChatKjOxYAgRbC5R48eeHp6UrFiRerVq0ffvn25e/cux44d49mzZ+l+zsXFhQcPHggCqtpOvnz5GDZsGH/++SdbtmwRXk/dB83NzXFxceHdu3ckJCRo/dyREeo1WL9+/Rg4cCDbtm0DUuZDtSjMiBEjcHd35+PHj9kSkM9pvraR6jMGT548oVmzZly+fJmaNWsyd+5cihQpQpUqVXjz5k2WBOS1lWHDhtG/f38OHjxIYGAg4eHhwL/9NykpiUmTJhEbG6szc6b6Pqbej01KSkKhUPDkyRNatWrFuXPnABgxYgQ+Pj4sWLCALVu2CGdndIU5c+YIIgjBwcEsWrSI6tWrs2nTJqKiolAoFNSrV49Dhw6xaNEijhw5QqNGjShbtiw9e/bM6epnmTdv3gj7QACdOnWiRYsWTJgwgcjIFJFIhUIh2JsrV64wYcIEtmzZwsSJE3ViTywqKor79+8TFBTE8ePHefHiRZq5Qi1APnPmTO7fv09AQACg3f5ORqj3NufMmYOenh4JCQkEBATg4uKClZUVkydPpnLlygQHBwtx5zJlyujEOTZNNiij+aREiRL4+/unEZDXdiIjIxk8eDCDBw9m3759nDt3jpkzZ3L27Fm6du0qiGbp8nyiRqVS8fnzZ/Lnz8+zZ88ICQnBz8+PESNG8OHDB+bMmcP+/fu5evUqU6ZMAaBatWqMGTNGZ/bDbty4Iawpu3fvzp07dxg7dqzgF6hRC8EVKVKEvHnzolAouHjxos702/8L+9TpkZycjEQiYf78+URGRtKuXTtOnz5NYmIisbGxXLx4EXd3dwoXLsz06dMB3YgdKJVKihcvzpUrVxg8eDBv377FxsaGJUuWULFiRRYtWoS3tzd3794VhKn9/Py4dOmSzozN1JQsWZJBgwbRu3dvPD09CQsLY9asWYSGhjJ16lQCAwOFuEG+fPkyFcLVJvz9/fH09KRq1apMnTqVv//+G4AePXrQv39/8ubNS8+ePblz5w4ymYzXr19z8+ZNSpYsmcM1zx558+YlLi6OP//8k7Jly3Ls2DFiYmI4fvw4t27dEuLqSUlJWFpa5vg6U5WUiDL+C6qkf88AJCQk8Pfff6fZwwO4d+8eFy9eJCIiQnhNqVTy5MkTzMzM2LZtGzVr1uTDhw9C7CA6OhoAOzs7hg0bxowZM7C0tCQ5OVm4hpWVFdWrVxfi15DiR9asWZOqVaum8ZdNTEwoWLAgUsWP3wdOSkoiX758goC8us42NjZMnjwZV1dXWrZsyZ9//olUKk3TJl0ho/iIm5sbf/75JwULFmT58uUsW7aMsmXLUrhwYWrXrp1DNf5+8uXLx8SJEwGwt7enRYsWhISE0LFjR+zt7enbty/t2rUjPj6e3bt3s27dOuLj4zEzM8tQQF6bUK9NPn/+zI0bN3j48CGxsbHMnz+fI0eOoFAosLCwYMyYMSxduhRIOYM5ZMgQQkNDdcp3T01u9IEmT57M5MmThf/ny5cPU1NTWrduTalSpWjTpg2urq50794dY2Pjb/x5XYkh3Lp1i9q1a+Pr60vnzp3p1KkTvr6+QIogao0aNRg6dCirVq0iPDyc6OhotmzZglQq1ZlxGRUVxbBhw+jcuTPz5s0TBOTnzZtH27ZtCQgIYNeuXUDKOiwpKYndu3dz4MABTpw4oTP+rEQiQaFQEBUVhZGRkRB7Xb16NSdOnKBJkybUq1ePoUOH8uTJE2rXrs3mzZs5ePAga9eu1ZmzMo8ePcLNzQ03NzfGjRvHwYMHuX//Pg4ODnz69AkgTdz52bNnHDp0iDt37nDmzBlB8FcXqV69uuDrqeO0kOKzRUZG0qBBA16+fJlGQF7b+b+w56eOAzk6OvLLL7/w4MEDQkJCWLVqFZs3b2by5Mm8fv0aSLmXiYmJ9OvXj2vXrhESEpJlAfmc5vPnz/Tv3x9jY2NBQL5du3Y0b96cqlWr0qJFCxYuXCiUv3btGn379mXv3r2cPn1aZ2wQ/GtjGjVqRHJyMrt27aJcuXLkz58fAwMDypQpw7hx44iOjk6z16KrPHz4EDc3N5o1a8aBAweYNWsWM2bM4MOHD0IZFxcX/v77bzp06MDatWsZMmQIW7ZsYenSpd8896mL/PPPP8LzGWZmZri5uQnvTZw4kQ4dOnDy5EmWLVsm5A9YvHixMLZzI/Hx8fj6+tKpUycCAgLw8PBg6dKlFCxYkFevXvHlyxcSExPTnHkUERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERH5v4U8ux8YNWoU3bp1o2bNmtStW5dffvmFp0+fMnDgQAB8fHx48eIFmzZtSvO5devWYW9vn+6D69OnT6dOnTqULVuWT58+sWzZMq5fv86KFSu+s1m6Q2xsLD4+PnTp0oVly5YBUKRIEVatWsXbt28xNTVFoVAIycpOnTrFnj172LZtGyEhIUKSFl1DpVIhkUgYNWoU/fr1w8XFhYMHDwoJOV69esWSJUtYu3YtoaGhmJmZ5WyFvwOpVEr9+vVZsGABY8eOpUGDBpw5cwYTExNByOfq1avUrl1bZxIhfY1cnmJCSpcuTenSpalTpw69e/dmxowZ7N+/H6VSyfDhwylUqNA3n9X2NkulUpRKJSYmJqxYsQI/Pz8cHR2xsLAAUhJbGBgYUK1aNd68eZPDtf3fUCd0yp8/P5cvX8bOzg5vb282bdrE8OHDAfj777/5+PEj69at4/nz5/j6+uqc2J26nebm5ly9epUaNWowcOBAVq1aha2tLRKJhOTkZF6+fEmePHlo3rx5Tlf5u4iLi8PExAT419ampmDBgvTp04cePXowdOhQnRRmBFi6dClGRkb06tULgC5dunxTJjExkdu3b1OtWjXu37+vE0n51chkMpYtW8a0adPo1q0b7u7ujB49mjp16rBo0SI2b95MxYoVqVq1KlOmTOH58+eUKVOGVq1a6ZQISmpSC0pWr16dvXv30qFDB2H+1NPTIykpCT09PSHJpy6IUD548IAFCxYI/nLLli2RyWRMmDABV1dXwfdRj9dPnz5RqFAhQbRQF0ntA82ePZtHjx4JieXUIputWrWiVatW+Pj46NTYBChevDhr165l1KhRODo6cuHCBSEJmZOTE4cOHWLChAm4ublx9OhRdu/eTUhIiE7Nm+o5M7UARsWKFalYsSJ79uzh7du3vH37loIFCwIpSZgLFy6c44mjvwdxPskd80nqucDAwID58+fj5ubGzp07adWqFRMnTqRatWqMHDmSypUrU6pUKQCd6rOfPn2iSZMmTJw4EWdnZ+zs7AgNDeX06dM8f/6cTp064e7uTlxcHADt27dn//79xMTEYGhomMO1/37UvqyXlxdhYWEMGjSI58+f4+HhQdGiRQkPD2fAgAGYm5tTu3ZtSpUqRc2aNXVO0Ll48eJCXG3lypWUKVOGwYMH53Ct/jfi4uKYPHkyPXr0YMmSJUBK4ugyZcqwZMkSIiMjWbhwIfr6+gAYGRmxePFiTE1NdUqgKD1y4/1MTXZiQV8nNtd23x3+b8QOpFIpbdq0AaB169ZAitjW/fv36dOnD9OnT8fHxwcHBwekUilJSUnI5XJMTU1zstrfhXoeSU5ORiqVUqZMGebOnUvPnj0ZNGgQU6dOpWjRogQFBVGjRo1vxqq291l1/czMzAgKCqJr164EBgYikUjw9PSkfPny+Pr6MmrUKMzNzcmbNy9Vq1Zl+/btQPpxI23j5s2b1K9fH29vbyGRMoCvry958+Zl9OjRwL9CscnJyfz1118YGRlx7tw5nRXV+jpGsmfPHjp06ICrqytnz57l+fPnNGvWDBsbG0EMTxfuJ8CuXbto0aIFo0aNYuHChbi7u2NqasrHjx+Jiori8uXLNGzYkLi4OBYsWMC9e/eoV69eTlc7W6jvxbBhw5BIJAwfPhxXV1d27dolCEa4u7vz8uVLFi5cSK1atTA1NaVJkyY5XPPvJ3WfrVmzJsuWLaN9+/Z07dqV4ODgdOcQXeizo0aNIigoiL/++ktYR44YMYIRI0Zw8eJFrly5kmZdWaJECcqWLZtT1f1u4uLihL0vgPz585M/f35Onz7Ns2fPCA8PF9r1xx9/kD9/fp1cZyoUCg4fPkxycjLXrl3j3bt3HDp0CCMjI6Kioti9ezeenp4UKVIkzed0KSm/mnnz5iGTyejduzcAXbt2Fd5Tjz2lUomZmRl58uTJqWr+ZxQrVoxRo0aRnJwsrMU6d+5MQkICo0ePZuPGjZw7d04QMdR2vnz5gpGRERKJJI2tlMvlPHr0CGdnZ5o1a0a1atUAqFu3LtOmTWPevHl8/vw5zXjWZu7cuYO/vz9t27alRIkSwlgbNWoUMpmMgIAAVCoVgwYNEmzw48ePefv2LefPn9cJP+/WrVv4+PiwceNGChQoIMyXX9/LevXqCfd6yJAhKBQKXFxchPW3LjBq1Ch27NjBmjVrqFmzJpaWlty4cYOZM2cyaNAglEolPXv2pHv37gQGBuLn50eZMmWoU6cOv/zyC6Abe34RERFUqFCBQoUKsXjxYpo2bYpEImHOnDlcvHiRoUOHEhQUJOwhqFQqfv/9d86cOcO5c+d0QtDm77//ZsyYMTx58oR79+6hUCgwMjLil19+EfY41euvggUL0rx5c06ePEmfPn10ek5R720uXLiQ+Ph4ChcuDKTEE2QyGZUqVeLKlStaL+KXmqzaoNTzia+vL4UKFWLChAk60V/VREdH8+HDB1xcXITX2rdvz6pVq1CpVPj6+lK4cGEh5vz06VOdmk9SI5FIMDU1pVevXkycOJGTJ0/y6dMn5s+fj6urqyBi7O7uztOnT4XP6cqccuvWLZycnBg2bBizZ88GUs7Renl5cf78eUqXLi2UValUSKVS5s2bx4YNG7h69arO3c/cvk/9NUqlUlhDu7q6EhQUxOjRo3F3d6dQoULIZDKMjY2pXr26II6nC/4B/HvONE+ePPTu3ZvOnTszZcoUli9fzq5du+jRowcdOnRg+/btTJw4EQMDA2E86yrFixdn9OjRJCcn06VLFwICAujevTu+vr5aH+/RhNqnHTp0KKVLl2bmzJnExsYyb948JBIJI0eOxNTUlKCgIOzs7KhWrRrv3r3D1taWsWPH5nT1s4WDgwOdO3dm2rRpODs7U6NGDfbu3YuBgQHx8fFC3Ofp06fExcWle/77f0WZEIsqMR6JnoEgtq5KSiDx/XMA9CxLCWWTol6RHBOJ3Kyw8JpKpeLVq1ffrJ0VCsU3ImwymYyiRYuiUCgoXrw4v/zyC+3bt6dnz54cP34cY2Njwe+TSCTp+kF58uTROn9XpVKlmePVbYiNjSVPnjxUqlRJEDpu27Ytu3btwtHRMaeqm22yGh+pXbu2MF+0bt2aunXrIpfLdUa8+WumTJlCUlIS8+fPZ+/evcydO5ewsDD+/PNPgoKC8Pf35+bNmyQlJfHp0ye6du0qnLnQdsLCwli1ahXz58+nfv36DBgwgObNm+Pu7s6pU6f49ddfadasGZDiK3h6etKvXz9sbGzQ09MTzinqGrnVB/Lx8aFJkyZs3LiRHj16cPjwYdasWYNKpaJt27b06NEDSInn5cmTR2dis6mJiIjAw8NDmDMfPXrEpk2bmDVrFtHR0fj7+3PkyBEGDhzI9u3bmTRpEnZ2dvzzzz8cP36cfPny5XQTssT79+95/Pgx48aNE+zt+vXrmTRpEuvWrWP//v3Cve3UqRNyuZzKlStz/fp1ihcvntPVzxK3b99m69at+Pn5YWpqyvHjx5k6dSofP35k7dq1rF+/nrp16/Lbb7+xdu1aQkJC6N69uzAOdWVNDSl7fr169eLGjRs8fPiQffv2oVKpCA8PB6Bhw4YoFArBbyhWrBh9+vRh2LBhOjt3fr1Prfb1nJycuHDhAvHx8Tg6OlK8eHGCg4O/+Yy2k5v3/L6OA6l9+KJFi9K/f39MTU3p1q0blSpVYvLkyUgkEhQKBba2tmme3dAFpFIpffr0YebMmXTr1o33798jlUrx8fGhYMGCbN68me3bt5MvXz769OlDtWrVmDhxIqVKldKJZ4q+fPlCTEwMJiYmwvMyzs7ObNq0iT179gjC8mqsrKx0OsaVmjVr1uDg4MC8efOAlNhCSEgIT58+5fnz51hYWFC6dGm2bdvG+PHjefDgAYULFyYkJEQnzyF8zcuXLylXrhwymYxDhw7RuHFjIMU+qeO3Pj4+SCQSdu3ahUql4u3bt2zZsoUWLVpgaWmZwy34Mejr6/Px40cqVKggvLZr1y7Onj1LnTp1KFiwIM7OzkydOhVjY+McrKmIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiEhOke1sFp06deL9+/fMmDGDiIgIKlWqxNGjR4WH0iMiItIkoQT4+PEje/fuZenSpeleMyoqiv79+/Pq1Svy5s1LtWrVOHv2rCAQmpvR09Pj48ePQgJagKNHj3L+/Hlq1apF8eLFcXFxYfLkySgUCgoUKEB8fDwXLlzQucSXqUlOTkYul9OwYUOWLFnCpEmTqFmzJg0aNECpVBIXF0d4eDinT5/W2Yfi1QJLDRo0YMmSJYwYMQJnZ2dCQkIwNjZm0qRJ7Nu3j9OnT+tMso6wsDAqVqwoJE1JnTxlzZo15M+fn3bt2gmJ5w4cOMDHjx+ZM2eOTiV/UrdLKpWSnJyMiYkJ06dPT5NYUC6Xk5SUhEQiEcaiLoieaEIul5OYmEjBggW5fv06dnZ2dO/enVWrVlGpUiUhcUHt2rWJj4/XKSHc1KRu55UrV7Czs2PAgAFCO2UyGYGBgbx+/RpnZ+ecru53oU4oB//a2q9p3bo15cqVY9u2bdjZ2emUgGpq5syZA5BuQuWEhAQGDx7M3r17CQ8P1ykbBGBiYkLjxo1p3Lgx06ZN48SJE9jb27NixQrKlCmDhYUF165do2rVqkgkEooXL87EiRNzutpZJqP55JdffqFIkSK0aNGCnTt30rlzZ1xcXDh16tQ3CS+1PYHXrVu3aNWqFe3ataN37954eHgA8Pr1aywtLdP4uur5Y8eOHRgbG+tEwidNpPaB9PT0GD58OHXq1BF8ILWQPKAzIr+xsbHIZDIhYZW1tTULFixg9OjRODg4CMnIqlatioeHB1u3bmXv3r0ULFiQkydP6pzfnpSUhL6+viCalXqMmpub8/79e2bPnk3JkiV5/PgxGzZsICQkRGeTnIvzie7OJ5C2f6rtz6dPn3B0dMTd3Z22bdsKCd2fPHnCpk2b8PX11fo55GvU40udoD05OZkqVapQpUoVvL29iYmJQSKRCGvL+/fvY21trVNJTCHtmir1va1QoQL+/v5YW1vj5+fH0qVLUalUlCtXjsqVK7N169acrHa2SN0udULWjx8/UqBAAby9vYmLi6N9+/asXLlSSPqpFifSpfWmnp4e7969E9ZV0dHRGBsb07BhQ8LDw7l06RK7du2iW7duQIrgprGxMaGhoTobB8qt9zM+Pj6NH55bY0Gpyc2xg9T3LyEhAT09PaKiokhKSsLe3p5t27bRqVMnFi5cyIgRI2jQoIHOzSXp9Vl13GP16tUUKVKEli1bEhISwoIFC7h48SLAN3sa2szcuXNRqVRUr16dhg0bIpVKMTMzY9OmTfTu3Zvly5ejVCrx8vJi5MiR1KhRg6ioKIyMjHB1dQV0Iyl2XFwcnTt3Jk+ePGkE5OfPn8+SJUvYvn17mvISiYTbt28TEBDAH3/8oTPrsOzGSKpXr86nT5/SCMjrwv2Ef/31w4cP06RJE8aMGcOiRYto1KgRefPmZfTo0QwYMIDNmzeTN29enj17xuHDh7G2ts7pqmeL1KI2Q4cOpWjRorx79w4zMzPhdUNDQ0xMTHj//r3OiXFn5Buk7rO7d++mS5cuuLq6phvX03ZfaM6cOSxZsoSLFy8KCei/Xn9GRERw7949EhISSE5OZtCgQVSrVo3y5cvnZNWzjYGBQZq1pnretLCwIH/+/IwfP56KFSvy4cMHdu7cyenTp3VWSEK9tlbPhx07dgTAz8+PxYsXExsbS58+fX6IONrPRh3v6t27NxKJRIh3SSQSPn78yLNnz2jUqBGgW/ubmtbUefPmZdKkSchkMgYOHEhycjL3799n/fr1nD9/XhDI1XbCwsLw9PRkzJgxdOvWTZhT1PTu3RsnJycCAwPTzDdOTk7UqlVLZ/Zv4+Li8PT05M6dO1y+fJlHjx7RokULihcvzogRIxgxYgR58+bF398fmUzGgAEDKFmyJKVLl2bjxo0YGRnldBOyxNixYzl+/Dju7u78/vvv5M+fn8TERORyOb1796ZevXrCvYR/+3f//v1zuObZY8yYMWzatIlTp05RpUoV4fWqVauyefNmunfvzpgxY3BycqJevXrY2NgQGxtLcnKyIDSlK/6soaEhVapU4fXr13Tp0oVBgwZRv359mjRpwuDBg1m5ciUnT56kadOmQpvGjh1Lv379KFCgQE5XP1Nu3LiBm5sbXbt2xdvbGxcXF44cOcL69evx9PQkMDCQXr16CW0zMTGhUaNGjBo1iri4OJ0596Qmdb9Ti5k4OjqmiSOo/71z5w42NjY6FSPJjg1SzycNGjSgdu3aOncv379/T1RUFLGxscJrDx484M2bNwwYMIC1a9dy8uRJQUS+VKlSOjWfpEfbtm2pUqUKycnJmJubp7ExSqWS2NjYNAI1ukBcXBxeXl4YGhoyc+ZM4fXLly8D8PnzZ4KDg3FwcMDQ0FAYjyNGjMDDw0Pn1mFqcus+dUbxrtWrV1OsWDGaNWvGX3/9xfr163n79i358+enQoUKuLm5AbrjH6iRSqXCWRhDQ0MWLVpEw4YN+fXXXxk2bJggftulSxedG58ZrcMmT56MXC5n6NChKBQKvLy8cri234fapz1z5oywT3n79m02bNjAxIkTMTMzA1LWZI0aNeLixYtERkZiZmZGp06dAN3os6n3KFu3bs3p06e5fPkyrVq1Qk9PD5lMhqGhIZ8/f+batWsMGTKEChUq0KJFi3SvlzqOBBAZGUl0dDRmZmaYmJgAKeetbt68CYC9vf2/n/30ThCGV4vIgwRlfDSQVjQcuQKJTA9SxS4UCgWlSpVKc+5MpVJRqlQpypQpI5z1Vp+fLVu2bJrY5a5du+jcuTNNmjRJN3apzbx79448efKk8WXUsfenT58yfvx4pk6dSoUKFbCxsWHq1KmMHj2aXr16cfPmTfT19bU+DpTd+Ehqn9bCwiIHa/7fMH36dOLi4vDw8GDNmjX06NEDW1tbevfuzbNnz7hx4wa///47gwYN0in/YPLkyRgYGAjjLTAwkAEDBhAdHU1sbCxOTk4kJCSgUCgoXrw4FSpU0JmzpZD+eafUdjK3+UBWVlbY2tpy/PhxevToQeHChYUzI6nZu3cvZmZmFCxYMAdq+X2o7+X169cpVKgQU6ZMIU+ePNja2tKkSRNWrlzJkiVLSEpKYtmyZaxatYqwsDBu376NoaEhlStX1hlxdUiJB4WHh+Pk5CT0vbZt21KhQgUcHBxwcXFh6NChzJkzhzJlylCjRg2dOtd148YN7O3t8fHxAWDDhg306tWLmJgY/vrrL3x9fencuTMAAwcOZM2aNZw6dYru3bsL41fb5001KpUKGxsbbGxshNdev36NSqVix44d7Nu3D09PTzZv3oyhoaGwfrGyssrBWmedzOzs176el5cXtWvXJjo6mmLFiumkgLya3LjnlzoONHv2bCBlXZ26/u3ateP06dMsX76cvn37YmFhgVQqZeTIkTlY8+/DyMgILy8vDAwMGDduHCVLlmTfvn2C72pjY0OnTp04deoUffr0AcDFxSUnq5xl7t69y4gRI3j16hWxsbEsXLgQNzc3jI2NWbt2LbGxsYSEhDBkyBAWLFhAYmIi27dvT/Ocii7z+fNnVCoVnz59wtTUFD8/P44dO0ZERASvXr2ievXqTJ8+nZYtW9KkSRO+fPmCnp6ezp0T0sSrV6+wtramQIECDBgwgKVLl9K6dWthHKvt9IQJE1CpVEydOpU8efJw5coVypUrl8O1/3EkJiaiUqmEvZnnz5+zcuVKVq5cSZUqVTh48CBHjhzB2dmZ5s2b53R1RUREREREREREREREREREREREREREREREREREREREREREREREREREREREREREREREREREREREREREcoDvynwwePBgHj9+THx8PFeuXKF+/frCexs2bODMmTNpyufNm5eYmBj69euX7vUWL17MkydPiI+P582bN/z222/UrVv3e6qmM0RGRpKYmEh8fDwJCQmcOnWKNWvWMGHCBFauXMn06dPZtGkTtWvXJjg4mLNnzwJgZ2fHqlWrdEYARU3q5F3qpGwvXrzgxIkTtGnThiNHjjBixAjy5MmDnp4eHh4enD59WmcSukP6bXz58iXBwcE4OjqycOFCZDIZjRs3Zty4cSxevJgjR47oTFJIHx8fqlWrxpMnT4TkHOrkKXPnzsXHxyeNqIKvry/Ozs7kz59fJ5KUPX36VBAeUicvhX+TQisUim8SBU6bNo1r167h6ekJ6E6CoPRISkpCoVDw+fNnChYsyLVr13j69CmDBw/m7t27QjmJRKIzAgTpkV47nzx5wsCBA3n8+DG+vr4sW7aMTZs2UaxYsZyubpZ4+PAhffv2Ff5+9+6dICKvKcGRsbExXl5eDBw4UGcF5NVjdM6cOYwcOZJevXoJ4qGJiYmMHj2aXbt2cfz4cczMzHRyfCYnJwMptmbNmjV4enrSt29f9uzZQ1hYGCtXruTdu3c617bM5pPUyXerV6/Otm3buH37NvPnz8/BWmeff/75h0aNGtG+fXtmzJghCBIFBATg7e3NX3/9lab8xYsXGTlyJKtWrWLNmjU6lTQxNal9oN9++w1HR0f8/f2RSqU0bNiQz58/p0nuqQv99969ezRt2pQuXbrw+++/c+nSJQBKly7NL7/8QsOGDalbty7Xr1+nSJEijB8/nvPnz/Pbb79x7NgxqlatmsMtyBqpfSFISeqUnsits7MzQ4cO5erVqwQGBnL//n3Onj2bRhxGlxDnE92cT27fvi0kAvxaQP7Jkyc4OTkRHByMSqWiefPmnDx5Eg8PD+zt7fHy8tK5JJBJSUl8/vyZuLg4YW2V2odr2LAhZ86cYcGCBYSEhDB27FgOHTqEr68venp6OVXtbHHo0CHgX8HN1Mk6ly5diq+vL1ZWVsyfP5+wsDC2bdvGpk2bCAoKEsasuq9rI5r6rEwm48mTJ9SvX5/jx49jYWHBqFGjGDhwIN27d2fPnj0AQuJzXSIhIYHIyEhu374NpKxBXr16xcmTJ+nbty9mZmZs3rxZKO/l5cXDhw91KtGwGpVKRWJiYq68n/PmzWPEiBHExMQIr+WmWJAmclvsQJMN0tPT48mTJ7i4uBASEoJSqaRKlSrs3r2bCxcusHr16jTiW7pAZn120qRJaURvx44dy6JFi9i3bx9z58796fX9Hs6dO8fEiROZNGkSY8eOpVy5cgwaNIht27ZhYGDAzp07KVq0KFu2bGHbtm0kJibi5OREy5YtBcHc1OtwbcbAwIAlS5YQHx8vJEmeO3cu8+bNY+/evd8kUVWpVNjZ2fHhwwdq1aqVE1XONt8TI4mJiaFSpUo6IyD/8OFD1q1bx8uXL0lMTBReDw4OpmTJknh7e3P8+HESEhLo06cPx48fp0mTJnh5eXHmzBmd2SNKvT8EKfO9er3Zpk0bevfujVQqTSN2I5VKqVy5Mkql8pvPayuZ2dmv++zWrVt1Mq7n7e3N9OnTkcvlbNy4kejoaCBtvN3JyQk3NzcaNWqEq6srTZo0oVy5cmzcuBH4tk9oE+Hh4SxZskT4OyIiQhBgTN1GW1tbRowYgb6+PocOHSIyMpKzZ8/qTKwrNanvh9oWvXz5kn379gEp9njAgAGsW7eO5cuX8/r16xyp539FevGuLVu2CO8vWLCAa9eu0b17d0D7Y7RZXVMXLFiQkSNHMnDgQHr06MGcOXMIDQ3VmbnkyZMntGvXjvfv3zN//nwh3pFaCO3o0aNs2bJFuGep750u7d8aGBgQEBBA0aJFKViwIOvWrcPCwoL9+/fj5ORExYoVSUxMxNTUlGPHjrFw4UKePn2KRCLRKcHfmjVrMmrUKMzNzalbty6vX79GoVAgkUg4fvw427ZtS3MPtdmn08S5c+fw9/dn0qRJafYI1HY3T548zJw5E5lMxvLlywHInz8/RYsWFcS0dGV9kpycjImJCV5eXrRt25Y1a9YQFRWFv78/Y8eOpVu3bigUCtasWQOk3E+1rdIFAfmbN29Sr149+vXrx+LFi3FxcUEqldKiRQtWrFhBp06dGDhwIJcuXUpznqZXr17cv3+ffPny5XALssbDhw+F9aV6DQaksaupY+8fP37Ex8eHAwcOMHnyZJ0SMMyODUpti3RFQD71vqadnR0ODg706tULPz8/Vq9eTY0aNXBzc2PYsGE0atSI3bt3A//6Sbo0n3yN2p+1tramfPnyaWxMfHw8vr6+nD9/XuM5XW0ldRxIfQZq7ty5rFy5kjZt2vDo0SN69OhB48aNcXd3Z+3atdy8eRMDAwOdFZDPrfvUmcW7Jk2ahKmpKQD6+voMGjQIX19fhg4dKoin6op/oEapVAr7CuHh4XTo0IGIiAiaNWvGokWLOHr0KAUKFCAiIkJn7Oz3rMO6dOki7IXpEql9WvU+ZUJCAi9fvkQqlXLr1i1u3LjB27dvAShWrBgdO3ZkwIABOiMgHxcXB6SNWTZp0gRLS0shRiSXy0lISODLly/8888/rFu3DltbW1atWsWDBw/48OGDcL2YmBjOnj3LH3/8keZ7Xr16xT///ENUVJTwmkwmIzY2lri4uDTxGYmePlJ9YyQy+b8XkMlRFCiOwqJkmusqzAqhX7QCchNz4TWpVErx4sUpXLiwYB+fP3/O27dv+fz5s3A/1L5dbjmTePv2bTw8PNiwYUOaeLtcLic8PBwHBwdBkFpNxYoVWbx4MadPn8bAwEDr55PviY+o388NqMfovHnzGDlyJH379mXLli3C+LGysqJFixb4+/vrzPMnapRKpTAG1ed77OzsSE5O5u+//yYhIQE9PT0kEgmHDx/GwMAgzb6utvP8+XNev36t0QblBh9I3T9VKhX58+dn6NCh7Nixg5CQkG/KhoaGMmLECOE8tC7dS/UZibi4OP755x/++ecf4b28efMKz4Vt3bqVgwcPAim2tkOHDjRv3lynBOQBihcvjr6+Pnv37hXusZmZGQ4ODiQnJ2NtbU3Xrl1RKBQ6d6791q1b1K1bF29vb6ZOnUpSUhIAQUFBLF68mGLFigkCzsnJyahUKkqWLEnZsmVzstrfjXouVJ9jg5T4R6FChRg0aBA9e/bk+fPn9OrVi5iYGJ2Kc0HmdvZrX2/79u18+PCBUqVK8dtvvwHa77enR27b81OTOg7Uu3dvvnz5AqStv0KhwNXVlejoaOLi4nTu3n2NoaEhrVu3ZsWKFUyZMgVz85T1jVKpxNzcnIoVK/L06VOtPgf9NdevX8fBwYFy5coxatQoSpUqJeQcADA1NWXbtm1069aNU6dOkT9/fho3bkxgYCDr168XfgNdI/VazNramtOnTzNkyBB69OjBzJkz2b17N2fOnGHLli18+PCBw4cPo1KpUCgUmJmZ5RoBeQAbGxvKlCmDkZERXl5eDB8+PM3zAKn3k169eoWxsTEXLlzAzs4uB2v941EoFOzYsQNTU1Nu377N0aNHmT9/Pj179qR69epMnTqVt2/fputHi4iIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiI/N9AnnkRke8hbx7NCTXCw8Nxd3fnwIED2NjYsHXrVrp27cq5c+e4cOECS5YsEZJh1qxZk1KlSnH+/HkaNmwIoDMicJGRkXz+/BmlUom1tTWQVtjP0dGRwYMH07hxY0qWLMmcOXN0LilHVto4ZMgQmjZtSv369Vm4cCFDhw5l8eLF/PHHH1SvXj1nG5AKfbnm393b25vVq1djYWHBihUrmDNnjiAosXr1avz8/Ni9ezeOjo7Av8lVFi1aJFxDnbwtpylp/m0i4MTERObOnUtISAiJiYl0795dSFSQXn88evQoa9as4cKFCwQHB1O6dOmfUfUfhlrw9/Hjxzg4OAiCt1evXsXe3h5PT092796tdQnnpNnsThm1s3bt2pQqVQoTExNCQkK0SgTF3Dhjm//8+XPWr1/Ply9f2L59O9HR0UKytfT6b2JiIgqFgilTpvyQ+v4MkpOTkclkvHv3jgIFCjB//nzkcjm9evUiOTmZq1evsm7dOkJDQ7XKzn4vUVFRVKhQgRUrVuDq6sr27duJj4/nxo0bTJ48mVWrVuV0FdNgpCfT+F5W55N69eoJn6levTo3b96kRIkSP7zu2aG8pYnG95RKJcuXL8fBwYEZM2YISaCnTJmCv78/hoaGqFQqRo8eTc2aNYmIiODYsWOcOXOGkJAQnRLjTj2/q8fm1z6Qk5MTixYtok+fPrRq1YpTp04B2pOoTJ7BhJKYmMjixYs5e/YsAPfv3+fdu3fUqFGDGjVq0KtXL3x9fTE3N6d+/fr8+eefVKxYEWNj459V/SxTOK9mEaHUvpBSqaRLly4kJycL88jX92r48OF06dIFmUyGXC7XyvZmBXE+0e75xDRP+uGKW7du4eTkxKdPn3BxcaF169ZASlLsR48eUb9+fZo3b07btm2FJOjFixdn3LhxjBo1SuuEQSoX1Syy/PTpUywsLDAwMCAqKoovX76kGw+ws7NjyJAhzJw5kyJFimBqasrJkyextbX9kVX/z/D19WXWrFksWLCA0aNHpxHYnjt3LnPnzuXXX38FUubYsmXLfpOsVaVSpRH3yQk0ramz2mc9PDyAFOGBIUOGoKenR+XKlX9W9bNM8fyZJzBUKpUYGBgwf/58WrduzaNHjyhTpgxbtmyhU6dOdOzYkVKlStGiRQvCw8MpWbKkziQa/ueff9ixYwfJyckULlyYfv36IZFIUCgUPHz4EGdnZ525n5m5YuPHj2fz5s0sXryYmJiYNMkrV69ezezZs9m7d6/Wx4IKGGUvjqqrsQNNZNUGtWvXTpg3K1WqxKlTp9DX19cZQRvIfp9V98+SJUtSsmSKIIk2xKbzKDKez+rVq8ekSZOYPXs2ffv2JT4+njt37jBo0CBmzpxJlSpVsLe3Z82aNYKISJ8+fbROSKOsRdbWEG5ubuzdu5eWLVvy559/8vbtW3bs2EGjRo3S2Jjt27dTsmRJ6tSpIwgwaDvfEyOpVq0ax48f16o+m9Ga+v3799SuXZuoqCjq169PZGQk/fv3p1SpUjRt2pTffvuNjh07MnbsWFQqlSDG7erq+hNbkDUsTfU1vhceHs6ZM2fw8PBII56Z+t6k/n90dDQLFiwgODiYc+fO5fg9zCpZtbO6ENfLCG9vb9avX8/t27eJjIykYcOGxMXFERAQILRZHU/Ytm2bYGvz5ctH+/btAe0Ymyb66a+pk5OT2b59O0uXLiUhIYFx48aRkJCQroAoQKdOnfDw8ECpVCKRSLROpLpSUc02X9MerkKhEOKXw4YNE+7n5MmTiYmJ4cCBA4waNeonteC/R1O8q3fv3hgZGXHr1i0WLVrEhQsXKFWqVE5XV0BP9t+tqQcNGoSpqSnt27fXur1Nq3zp+9dJSUmsXr2acuXK0bt3b44dO8asWbMA6NKlC1KplMTExFwlKtCgQQM2b95M8+bNqVatGn5+fixdupTQ0FCOHz/Ovn37iIiIIDw8nA8fPjB16tScrnIasuJSW1hYEBoayooVK2jXrh2urq7cuXOHpUuXUqNGjTRzpraSzzBjIaF69eoxaNAgpk+fTsmSJYWxmHo+qVChAmXKlBFEN79GG9YnGfH27VsKFiwoxB7bt29P06ZNMTY2ZuXKlYSGhjJgwAD++ecfGjduzLx581i5ciWDBw8W/Htt58OHDzg7O+Po6MicOXME0Tq1T1OkSBEmTpzI5cuXmTlzJvv27UsTi9WmuJ6BImMf7Pnz5wQFBREbGyuIqGuKXx09epR169Zx6dIljh8/jo2NzY+qdrYpXTDzNXVusEGaSL2vGRsbS+/evdm1axd9+vRhx44dSKVSxo8fL5yJMTY2FvYyc9pP/xpZFg8+qcej2p999uwZixYtYtKkScIY3LNnDydOnODAgQMcPXpUq0TvLEw0r6lT83Uc6N27d+zfvx93d3cApk6dysmTJ9m6dSuLFy/m6NGjP7LaP5Tcuk/9PfGu9Mhp/8BYw5oaUgSvnj9/TmxsLGXKlKFw4cJIpVKkUimPHz/GycmJhg0bYmlpCYCJiQlubm5cuHABiURCkSJFflYzMsWmcPpr6ty2t5kZap922rRpVKlSBRcXFxwcHDAwMKB+/fps3LiRPXv2YGtrS40aNYTztKn9oZyeXzTFaJVKJb6+vty5cwcPDw969OiBTCbj+fPnREVF4e3tzbBhwzh06BCurq5cunQJhUJBrVq1mD59OtbW1oSFhREREZFGzFkul6NUKlEqlWl8KbVoZ+q1q0KhoFq1at+IlMpNLcDUIs1rEokEmZGZxnZqWlNDypmDffv2ERMTg1QqZdasWbi4uGBpackvv/ySK2KXYWFhODk50bdvXzp06JDmN42NjcXZ2ZmGDRsSEBAgvK6+P+XLl8+JKmeb3BYfMctkTf01GcX1ZDIZXl5ewnjL6fMx34uJybdnbitXrkzlypVxdHSkVatWvHz5kt9++40TJ05QoECBHKhl9vkeG5QeOe0DaTr3FBERIfg8kGJbICW+5+rqyo4dO3BwcEAulwttSEhIICYmhosXL2rd+bX0niVSExERQYMGDdi7dy8VK1bE0tKSbdu28eLFCywsLGjSpAn9+/dnyJAh7Nq1i2fPnv3Emv8YSpUqRaFChQgKCsLe3p5y5coJ76ltzZUrVyhWrBh582o+55gTZLSkvnv3Lg0bNsTNzQ0/Pz/hbOHXcaBNmzbRpk0bPn/+zObNmzl79ixz5sz5CbX/cSiVShQKhXDu6fjx41SqVImuXbsil8uZNWsWgwYNYuPGjTld1SzzPXa2WrVq/P7771p1tiK76OqeX1ZRx4HUa87U+/Hqsfr27VvKlClDoUKFcrKq/xnGxsY0adIEuVwu9Ef1v+/fv6dGjRo6009v376No6Mj48ePx9fXF4BChQrRvHlz9u3bR6VKlYAU/8/f359Xr15x+vRpChcuTIUKFXRmHfY1Dx8+ZPHixQwePBhbW1vGjRuHRCIhMTGRP//8k0GDBtGuXTsAXF1dKVasGGfPns1xP+9HkJycjIGBAbNmzWL48OGUK1eOJk2aMGTIECQSCS1atBCeBwgODmb58uVcunRJ63zD/4KIiAj+/vtvXr58SevWrTE2NiZ//vwcOXIEuVyOu7u7YMeSk5OFM7rFihXL4ZqLiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIjkFLqRsVbHyJtHwcoumpM3Xr9+HaVSiY2NDUlJSVhbW3Py5EkUCgWurq5CokB1woeqVatSuHDhn1X9LGNXzEzje7dv36Znz57ExcURFhbGmjVr6N27N3K5nBcvXlCxYkV69uyJj48P8G+CB21MdtCnXsl0X89qGydMmACkJHZwdHQkICCAkiVLatWD3vpyKYs6pi98NXr0aDZs2MCFCxfYtm0bR48eTZMYp06dOhw9elQQYIKUtqZOsKMNomGQkvQpvbGpUCgYOHAgsbGxrF69GqVSSc+ePdMVkk9MTMTKyoqiRYty+vRprUoUraZFlfTtxdOnT7lw4QJPnjyhU6dOQtINmUzG06dPqVevHo0bN6ZKlSokJSVRsGBBLl68SMOGDbVOGEQqgWmt0k8c8T3t/Ouvv2jVqhUrV66kWrVqP7MpGWJurEdg1xoZlmnQoAHHjx+nU6dOdO3alQIFCvDgwQNmzJhBQkICZmZmJCcn8+nTJ2JjY6lYsSJ9+vTRKntbt1T6if7i4+NJTExMI06clJSEXC7nyZMn1KlTh9mzZ9O7d2/mzJmDTCajZ8+eyGQy/vrrL626lwBDXcuk+3pm7bS3t2fWrFn07duXdu3aYWdnx+XLl5k/fz5Dhw79WdXPEkZ6MpZ6pf+7f898okY9jrUlgVd5SxNWZODrSSQSLl68SIMGDciTJw9KpZI3b96wd+9eTp06hVQqpUuXLixcuJDRo0dTq1YtBgwYwLBhw7RKaKFDDat0Xw8PD+fJkyc4OzunEVeQyWQafaB69eqxYcMGihQpohU+gRq5VMLcdpqTWCsUCoYPH058fDwfPnygcuXKeHh4sHbtWvbu3cu6devIly8fVatWRaVSUblyZe7fv691ydgK5zXIcD5J7QsFBATw6tUrihUrRmxsLOfOnSMpKQlDQ0OUSiVfvnzh48ePlC9fXkjwpS04l8/a+FGpVCiVSmQymU7OJ+MaZy2589ft1KX5xDSPnBWdv7WzN27coE6dOnTt2pUHDx5w4sQJWrduLcwPQUFB1K9fn1WrVgm2Rj1v6Ovro6+fNZGKn0XlonlZ6mmX7nsJCQl4enry5s0b7ty5g6WlJXp6eumKyFtZWTFt2jR69+5NUlIS+fLlSyNemdP0cLDW+N6IESMICgrCycmJixcvEhcXJ9ynkydPMnHiRIKDg3F2dgY0J+DP6blFXy5lYYdv19Tf02chxfeZNm2a1glNFc9vyKqu6ftAqf00dUygSZMmnDhxgnnz5hEdHc2sWbMYMWIEkJJMMV++fFhYWKR7vZykSaX0k47euXMHR0dHatWqxcePH/nnn3/YtGkTixYtonbt2mzbtg0nJyeduJ8SCfi20BzP+P3339m1axe7du2iXr16vHv3jqdPn6Knp0ehQoVwcXEhODhY62NBBYz0WKmhz+am2EEt6/Rt/vfOm+q4tbYxqEFpje99T59Nr3/m9Hozj0LGMi+7DMtIJBJmzpxJZGQkU6dOZdeuXYwdOxZfX1/Cw8NZtmwZFy9e5NGjRzx69AgHB4ccH4tfU9bCOMM19de4urpy7NgxOnXqRKVKlQSBcXW7pkyZwuzZs3nw4EGa13OattWLanzve2MkEolESHKuFnbMSeRSCbPaaF4XSqVSBg4cyIIFCyhVqhRly5Zl48aNhIWFUaVKFWrUqMGECRPo1KkTS5YsIT4+ntatW2ud325pqs+qDNbUK1euZO3atYIPn56Agrpfnj17lsDAQE6dOsVvv/2mVeI9TmXNNb73PXZWjbbF9Ua7l9P43pkzZzh27Bjnzp0TBBcPHDjwTeJ6mUwmtKdnz55prqEN7TTRlxPQOX1fRSaT0aVLF+Lj41m3bh3R0dFYW1sTGRnJvn37SEpKwsTEhOTkZD5//kx0dDQVK1bUSpHRSkVNWeqZfjuzuoerTuquvm9z5sxh1KhRWiVO1LVO+gn0s7t/IpVKadeuHVKpVOviXXoyKQs6VPnm9e9dU5csWZIJEyZo1RoMUsTuVndLfz6Ry+W0a9eOkiVL0qpVK8qVK4dKpUojlKZQKLRinZUZ7jaWWS7r7OzMoUOHaNWqFa9fv2b9+vXUq1ePevXqER0dzadPnzh48CCNGjXSqviBRAKTm1fU+L76PpUrV47ff/+dMmXKcPDgQTw9PTExMcHQ0JBbt279xBp/H/kMFZnuU0skElasWAFA586d2b59uzBvqomPj0elUmnlOhOgRgnNcdR3797RvHlz9PT02LRpE5aWllhYWPDLL7/QtGlTbGxsaNu2LXfu3MHb25t79+4BEBQURI8ePTAy0ixK9rPp55TxvlW3bt1Ys2YN+/fvp02bNt+sN8qXL0/9+vW5ePEiUqlUK22RgULKkk4Zz28NGjTg999/p1OnTnTq1ImdO3dqFJJv3Lgxb9++Zf78+ZQurTkm8bMpXdA4wzOJucUGtaqqWWRZva8ZExPDunXrUCqV9O3bl3Xr1vHhwwcAQeQW4PHjx5QqVYrk5GSt6r8yqYQZGs49ffjwgY8fP5KYmEi5cuWE8SiXywURuE6dOglnC65evcqGDRswMzPj9OnTVKhQ4ae1IzMsTPQznU9SkzoOZGNjQ8OGDYGUtZapqSlt2rShTZs2fPz4UasEDB3L/N849+TtVlbje//LmSBtwlhfznIN555u3rxJixYtKFmyJFeuXKFmzZq4u7szceJEVCoVw4YNw93dnXXr1qWxNSqViqJFNccKcwKbwqbptjO37W161sr8jLbap1WpVLRs2RILCwsqV67M9u3bhbE7YMAAbty4wezZs5HL5XTp0uVHV10jKmUyyrhoUKmQGZkhl0qY174K4eHhvH//nuLFiwvrp9jYWGJiYnj06BFjxoxh3bp1dOnSBTs7O2JjYylevDj58uXj5MmTNG7cGJVKhUqlQqFQYG1tDUCBAgUwMDDA1NRUqINCoaBOnTooFIo0/aBw4cLfPOsgkUj+E3ttlS+PRh/I39+fwMBAfvnlF2QyGadPn2bAgAH06dOHUaNG6VTs0q1i+mvfxMREFi5ciKenJwsWLECpVHLu3DkiIiKoVq0aZcuWJTQ0FCsrqzT3RFv8nq+Z2Cz9NXVuio+YGSrSPfcE3+cfdOnSBblcTocOHX5WE7JEtQyeJbp//z7Hjx8XzqS9efOG6tVTfhO1MDWk+O5Tp05l48aNnD17lvLlyxMSEqJVcQRNzxLB/2aDtAl9uRT/jnbfvP7hwwcaNWrEhw8fGDlyJC1atBDujZmZGY6OjqxcuZLp06djYWEh2FNXV1fq1q1Lnjx5fnJLMkbTs0RqIiIiiIuL48qVK/Ts2ZMhQ4awbt06NmzYgEQioXv37oKPa2hoyPXr139SzbOHpmeJvkapVJI/f37Wrl2Lh4cH48ePZ+rUqdjZ2QEQFRXF7NmzWbt2LaGhoVq1BpNKYEbr9Pepb9y4gYODA9bW1vz+++9p4l2p94T8/Pxo3rw51tbWlChRgsTERI4fP065cpr3ErWJrJ57srW1RaVSoaenh6enJ3K5nLp16+Zw7bPO99pZbTtbkR0yO+OuzXt+2cXV1ZWDBw/SsmVLAJYvX46RkRESiYSEhASuX79OnTp10vgO2s7XPtDXfP1sZlxcHLNmzeLMmTOcPn1a6/1cSPFnfX19iY2NFQTkAc6dOwekzB87duygXr166OnpYWFhQYkSJb45W6GLvH79msDAQGJjYxkzZgw2NjaMHTsWgMGDBwtxafVco6+vj62trZAjQNd59OgRDx8+xN3dXWiPpaUlBQsWRKFQMGPGDOLj4xk8eDAALVq0AKBJkyZERERgaZn1fWRd4datW3h6egrP0k2ZMoXz589TuHBhwe+IjY3l8OHDtGrVio8fPxIYGMjly5dZsmRJTldfREREREREREREREREREREREREREREREREREREREREREREREREREREREREREREREREREREREREREQkh9CujG25ALWAfBkLY41loqOjUSgUAELSPH19feLj4/n8+TOnT5+mefPmfP78mWXLlnHz5k0CAwN/Sv2zil0xM5Z0skv3vfv37+Pq6kqfPn1o3Lgx586dY/To0bRu3ZoCBQqgUqkYOXIkM2fOFJIbaGuSgz71StK//rfJlL+njSqVCplMRv369X92MzJELSBfyzr/N+8NHDiQbdu2cfbsWezs7ChQoABr1qxh0aJFjB8/HpVKRdWq6YvPa1siOnXSp/xG34ouAlSpUoWxY8fi5+fHmjVrAAQheXXCoISEBJYtW4a1tTVLlizRuqSXkJL0aVI6Setv3bpFy5YtKVasGPfv3ycgIIALFy5QrFgx4uLimDx5Mh4eHixfvhyJRIJcLicpKQlLS0tu3rypVUlz1ALyjW2/Ffb73nYWLFiQ8+fPa1U71QLyxfMbZlhOIpHQsGFDduzYQb9+/Xj69Cl169blxIkTvH//HmNjYyQSCUlJSRgYGAj9WluoW6pAuuIgd+/eZdq0afzzzz9UqlSJkSNHUq1aNeRyOc+ePcPBwQEPD480iWRmzpyJhYUFLi4uWidsPNS1DN3SEXvJSjvbtGlDnz59hM+ULl2a0qVL07ZtW8Gf0AbUAvKVi36bJO5/mU9Sow19Vy0gb2KgeQ5QC46r5wmJREKhQoX4448/hKS6mzZtokGDBlSvXp1atWppXcLoDjWsGJOOUPX9+/cFEcKgoCBatGjxzZw/cuRIZs2alcYHkkqlWpcIUy0g71Q2Y+FxGxsbRo0axYIFCzh58iS1a9dm1apVABw9epR//vmHLVu2YGpqypcvX0hKSvoZ1c8yagH5wnkNMiyn9oXmzp3Lli1buHHjBnfv3kWhUBAXFyf4QwqFAoVCIST60hacyxdklse3tv/p06f89ttvREZGYmtrS/PmzZFIJMhkMp2cT8Y1Lk+7GlbfvJ6VdurKfKIWkC9naZLm9atXr9KgQQO8vb2ZM2cOa9asYfDgwfTv35/KlSsDKfdOV1ALyBvppz+f6OnpsXz5cnr16oWTkxNbtmyhaNGiPH36lJIlSxIVFUVSUpIgRHT//n0qV66sVeLxkCIgP9g5fYGdUaNGsWnTJm7dusWzZ88EESIXFxcA3NzcuHv3rlaJnaSHWkC+dsm0a+r/tc9q23pTLSBfwPhbUdc7d+7Qr18/hg4dSsmSJalbt67gBzg5OQm+Q2pf7tKlS5QoUQKVSvXT2pAVmlQqxNSW3yYjj4uLw9vbG09PT1atWkVsbCyvX7+mdevW9OrVi/Xr16dJiPk12nQ/1QLyzSprThr95MkTbG1tqVevHocPH2bKlClER0fz8uVLBg0aRL9+/dL17bQpFqQWkLcu8K1gW26KHdSyzseiDnbfvP6/2CBtap+aQQ1K09PRWuP739tntQm1gHwVK7MslQ8ICCA5OZnWrVuzdetW2rRpQ6lSpWjYsCHx8fGEhoby7NkzrUvAqxaQz5sna/6nOolu/fr12bJlC61ataJv376sWLECQ0NDpk6dir+/P5cuXdIqUb+21YsyrnH6Psx/FSPJaTurFpB3Ka9Z0DVfvnyMGTMGlUrFwoULOXPmDD4+Pty5c4dff/2V4OBgLly4wJcvXwgJCUGlUtGsWTOtEpFXC8gXMdMscrFgwQJiY2MF8Z7OnTunK6KgTvZep04dpk2bpnUC8n5tK2t8/7+ws9owv4x2L0fHmprFw5ydnQkNDcXc3FyIg7i6uqYrJJ967yg1Od1OtYB8hcKmGsuUKFGCfv36oVQq2b17N/fu3RP2gT59+iQIgEmlUvT09AgODv6JLcgaagF543TW1N+zhyuVSoVE7tomID/Mtcw3r3/P/smsWbOwtLTUuniXWkC+Tqm0v3tuW1OrBeTN01lTq6lRo4YgpFWhQgWGDRsG/NvOLl26kJSUxOXLl7VW4MXdxpJpGsRwv0bt57m6uvLrr7/i4eGBTCZj+fLlGBsbY2hoiLGxMQMHDvzBtc4eagH5FlU0ixurxV1q167NpEmTiI2NpUSJElhYWJCUlIShoaEgoKUtQoVfoxaQL2meNRH0FStWIJFI8PLyYseOHbRq1Up4786dOyiVyiz5uD+bGiXy4d9Rc73kcjlDhgxh+fLlODo60r9/fzw9PalRowbe3t4cOXKEypUrU7ZsWRYvXsyVK1eoVKkSnp6eWicg39dJs+Bd/vz5mTVrFjKZjA4dOrB79+40wlpqZDIZefPm1co+qxaQr1bcLMNyav9u+/bteHl5pSskn5iYSI8ePbC0tGTx4sU/pwFZRC0gb2aoeU2dG2xQq6pFNAqLqu9TlSpVGDduHEuXLmX16tXo6+vTrVs38ufPL8Scw8PDWbFiBQcOHOD8+fNaJdKjFpB3s/lWNOfWrVt0796dxMRElEol5ubmBAYGUrp0aSQSCba2tnTu3Bl/f3/hM9WrV2fNmjUYGxtjYmLyzTVzCrWAvFW+rAlHphcH6tevn7AOS10mtZhxTuNYpgDz2uX+c0/ebmXxrF083ff+q3hXTqMWkLcp8m3/evHiBR4eHnTp0oWJEyfy6NEjli1bxuTJk/n48SPz5s1jyZIllChR4ptYQU7H8b5GLSBv/NW5p9y2DvOsVQzvRlkXAF25ciVmZmbMnTsXPz+/NOLOtWrVolatWvTs2VNo5/8iYq1UKoF/40gJCQm8efPmm33TxA8vSI75iMKsMDLjlHMAqqREEt89AakcfZN8zGtfhXplzIl8+Zjo6Gji4uKEzysUCjp06ECLFi0wMTHB19eXxYsXExkZyZAhQ/D09MTPzw9PT0+6d++Os7PzN21SC9KnRiKRfCN8+CNRC8hbmn77nUqlkpCQEAYMGECbNm0AaNWqFTY2Nvj5+ZGcnMyUKVMoW7Zsht+hDT6RW0ULpmsQw5VKpdy7d49+/foB0LhxY169esX79+95//49kydPpl+/flpnb9JjYrOKtLbTvKbODfERtYB8es8Sfa9/oKenp3W+QbViZizW8CwRwJkzZxg+fDhxcXGMGTOGmJgYjYLiTk5OODk5kZiYCKBV59g0PUsE/50NymnUAvI1rb89c6avr8+mTZsIDAxk+/btzJkzh5EjR+Lg4IC7uzuTJ0/m0KFDzJgxg4CAgDR7J9oqIK/pWSJIWVs5ODgwb948evbsSf/+/XFxcUGpVBITEyMINUdHRyOTyQR7pU1oepYoPdS+R8OGDQkMDGTgwIFcu3aNWrVqYWhoyJs3b7h58yanTp3C1jZrcd+fgVpAvlE6a+pr165Rr149vL29mT59OmPHjv0m3qWe98uVK8fVq1fZtWsXRYsWpVKlSlhZfXs2VxvJ7rknSLFZenp6dO7cOYdrn3X+KzurzT7S95xx19Y9v+yijvG4uLgI+0QqlUo4DzRz5kyCg4M5deqUVvkGmaH2geLj4xk9enSGZffu3cuePXs4c+YMR48e1fqz0mr09PSYOHEiDx48oHbt2vz1118sXryY5cuXM3LkSKRSKStWrMDHx0foqx4eHtjb2+d01b8LtW+TnJyMo6MjZ86coU2bNiQnJ+Pj4yPcNzMzM5YvX06LFi1QqVQcOXKEI0eOcO7cOa2KTX8vL168oFKlSsTFxTFq1CgsLCwYN24cxYsXx8PDAx8fH5o3b87kyZORy+WMGDGC+Ph42rVrB6QfX9B1Hj58SOPGjenVqxcDBgxALpfj5eVF7969OXbsmHDuZtasWXh4eHD8+HEKFSrEx48fOXbsGGXKfHsWRERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERE5P8G2pW1TcfJSEA+NjYWfX19IQm9SqUiOTkZSEm0q1Kp0NfXZ+rUqXTq1In9+/djbm7OmzdvOHr0KKVKpZ98KCdQC8jn0fv2AXaVSkVAQADOzs74+fkBUKhQIf766y8+f/7My5cvqVy5MnPmzPnZ1c42mpI+fW8btTHxSEYC8u/fvxeSrtjZ2ZGUlIS5uTkeHh6EhIQwaNAgrUo8mxFZSfoEKSKxEyZMYO7cufzyyy+oVCp69eqFRCIRkhwEBQVx/fp1rUt6Cf8mfZJ+1dfu3buHm5sbAwYMYNSoUZiZmWFtbc2JEyfo1asXBgYGzJo1CysrqzT9NLX4sbaQkYB8bmpnVgXk1UgkEpydnVm7di39+/cnf/78HDp06JtyCQkJ6OllPA5+JmoBeYUsbRLOu3fv4uTkRJs2bfDy8mLZsmXkyZNHEG0OCgqiY8eO+Pv7f3Pf1EkjtYmMBOS/t52gXYkSMxKQz03zSVYE5AFBbOjcuXO8f/9eEB5St1OpVGJjY4ObmxvFimkWrsopNAnIv3nzhhEjRlCjRg0KFizI+PHjUSqVghhIYmIiRYoU0QkfKKsC8moqV67M+PHjmTt3LnPmzOHNmzf07duXZs2aAdCrVy/i4+OJi4ujaNGiP7Lq2SKrAvJqbGxshHZKpVLc3d0FQdy3b9+ip6eHqakpX758oWDBrP12PwO1gPzX88mtW7do0aIF1tbWREZG8vfffxMQEED//v2BFDvr6enJwoULdWI+0SQg/7+0E7RrPtEkIP/u3TvatWvHgAEDBBvTqFEjqlSpwt69e6lcuTKJiYla1ZaMyExAXk2NGjXYvHkznTp1om7dukRFRdGrVy/kcjmxsbEkJCRgampKYmIiUqmUW7duaZWIfEYC8r6+vixbtowrV65QokQJihUrRrNmzQgICKBmzZoYGhoik8m0PimiJgH53NZnMxKQB1iyZAl//PEHDRs2xNfXl/bt29OyZUtBSDR1AsSbN2+ybt06goKCCA0NTSPAkNOoBeS/XlNDiq2Mjo4WRDL09PSwtrbmypUr2Nvb07dvX3777TeKFCmiteJLkDUBeUhZO8rlcv7++2/69+/P2LFjqVevHleuXGHFihXExcUJAhra6OtlJCCfm2IHagF5fUXa/pbbbFBmAvKg+302OwLyqW1MYGAgSqWSLl26pBFq1NfXp2HDhul+JifJioB8auEddcLoly9f8uHDBxo2bMjhw4dp1aoVhoaGmJmZ4e/vT2hoKDVq1PhZzcgUtYB8el0tt8RIsiIgryZ//vz4+PgQGxtLgwYN2LFjB+3bt8fGxoZJkyZx48YNwsPD2bNnD5MmTdIq3yArAvLqfhoQEMCgQYNYtGgRwDdC8vHx8SxYsIDixYszcOBA9PU1iwj/bNQC8l+vqVOj63YWMheQV9tKc3Nz4b6qSS0kL5VKWbZsGYaGhlrX1qwIyKuxsrISRKcOHDhA/fr1CQgIACAyMhI9PT2MjIyIiorCzMzsR1Y722QkIP+/7FOr50ptua8ZCcjnlv0TTQLyuc2f1SQg//z5c27cuEFkZCQeHh6CDVX7Q7a2tgwdOhSJRMKsWbNITk7m6tWrBAYGEhERQf783+7v5yRqAXmZNP0xlJGf5+bmxsGDB2ndujVyuZwlS5ZolQC3Gk0C8u/fvycyMpLIyEhq1aqFTCYjISEBpVJJQkIC7969Y+7cuVy6dImtW7eycOFCypYtS1hYmFbF8tRkR0A+9VojICCAxMREPD092bZtGx4eHkRGRtKrVy+qVatGixYtfnTVs4VaQN5Akb5wh0qlwszMjB49etCjRw/GjBnDsWPH2Lp1K8uWLcPe3p6TJ09y584dQaSoRo0aWrU2gcwF5NWYmJgwbdo0ADp06MCePXvw8PAQ7nFkZCQRERG4ubkB/5to6n9NVgXk1aQWku/UqRMdO3Zk165dwrmgcePG8euvv3L69OkfW/FsoklAPrfZILWA/NfdK/W5y6SkJORyOTY2NuTJk4fbt2+zYsUKkpOT6dmzJxKJhKdPn7J//36OHz/OqVOnsLGxyZkGpUNGAvLh4eE0btyYPn364OHhQUxMDCNGjKB9+/bMmjWLdu3aERwcjKOjozAG1eOxcOGMY74/m6wIyGcWBzp06BCtW7dGJpMJ/oF6raYtNkgtIJ/bzz1lJCCfW+JdGQnIA1y6dInChQszZcoUDA0NqVq1Kp06dWLnzp34+/sDMG/evJ9Z5e9Ck4B8bluHZUdAPrVPO2fOHD58+EDfvn0xNDSkdevWacppEpBPSkoiISEBhUIh/Ebx8fE8e/YMiURC6dL/7pnfuXOHt2/fUr58ecF2JyYm8vDhw2/PJKuUoExCpUwUXpLI5Ej1jZDJ5YKAPEDRokWxsLDA0PDf86Z6enrUrVtXaOOxY8cICwtj1apVbN68mbVr11K9enXMzMw4cuQIVapU0bpz0RkJyEPKbx8ZGSkIT8fHx6Ovry/EvcaNG0e1atXo2bOn1uyVpIdaQF6ezppapVIRFxdHnjx5MDExYfny5chkMvbv30+xYsVYtWoVM2bMoFChQvTr10+r25megHxui49kJiD/vf7BlClTfkr9s4paQD69Z4nU9OjRg4SEBIYPH45UKqVcuXLcvXuX3bt3ExUVhYmJCQqFgqioKD58+ICdnR2NGjX6ia3InIwE5CF32KCMBOQBjIyMqF69OmvWrOHOnTsEBwezatUq1q5dS82aNRk8eDDVq1fn+fPnREZGki9fPq3x1VOTlWeJ1GuSiRMn0qZNG1atWsXAgQMpU6ZMmja9evWKlStXcvPmTWH8aguaniVSo2kN9vHjR7p27UqNGjXw8/Pj0aNH6Ovr4+TkREBAQBpfJqfJSEBepVIxY8YMhg4dyqxZswCYOnUqkDbepf4dlEolJiYm9OnT56e24X/le889aaMNyozcYGczIredcdfE58+f0dfXT/McW0b7RKnPA50/f55y5bK2ttMW1D7QiBEjUCqVjB07VmNZJycnbt26xfTp03WqnRKJhJo1a7JlyxY6duyIuXnKulQdt1Rz9OhRIS49YMCAnKru/4xSqUQmkwk2pn79+uzZs4f27dsDCELykydP5ubNm9SuXZsyZcpgYGDAyZMntSo2/b/w4sUL6tWrR2hoKNHR0Tx9+pSyZcsycuRIqlWrRpMmTfjtt9/w9PTE29ub6Ohopk2bRuPGjTEyMtJKH/F/IS4ujgULFtC0aVOmTZsmxIN69OjBihUrUKlUQp9p0KABV65cYffu3RQvXhwHBwdKlPj2GVMREREREREREREREREREREREREREREREREREREREREREREREREREREREREREREREREREREREREREZH/O2hXti8dJiMB+WfPntGyZUvmz5+Pu7s7SUlJgiCaUqlEqVQKD0K3atWKCxcucODAAYoVK4arqyslS2ae0PdnkZGAPKQkXgkPD0+TmHTPnj2cPHmS1q1bc+/ePbp164avr69WiqaqySjpU25pY0YC8gAFChRg+fLl6Ovro1KpkMvlyOVyPD09adq0KRcvXqRx48Y/udbZR1PSp69FQNRJhm1tbZk6dSrTp09n7dq1SCQSevbsyYQJE9i0aRPnz5+nfPlvhXVzGk1Jn758+cLcuXPp2LEjvr6+Qpvt7Ox4/vw5I0eOpGnTptjZ2WlMmqMtiRoyEpDPTe3MroC8uu9KJBLc3NxYvXo1HTp0oEOHDuzevRv4VzxemxK5ahKQj46Oxtvbm169erFw4UIgReTl+PHjfPr0CVNTU0HQWKVS/fR6ZxdNAvK5qZ0ZCchD7plPsiogr1Kp0NPTY9KkSbRp04Z58+Yxa9Ys5HI5UqlUSFLm5+fHs2fPcHJy+kktyBqaBOQhJfm3QqFgxIgR5M+fn2XLluHj4wOk+LAKhUKrRCM0kV0B+fR8hKCgIGQyGb169QLAwMBAq4TuIPsC8qnb6evry4wZMwgJCWHnzp307NmT4sWLC2VSJ53OaTQJyD9+/JjWrVvj5eXFjBkziI6OZs2aNaxcuZLmzZtTtGhRpkyZovX9VY0mAfnc1E5NAvJqtm/fTp06dYS/ra2tqVOnDps2bWLChAkYGBjohA3KqoC8mqpVq7J9+3bGjh3LuXPn2LZtG+bm5sTExAhJ6SQSCUWKFKFIkSKZX/AnkZGA/JcvX7CysuLmzZvY2NgIidJcXFzw9/fn3bt3lCxZUusTe2oSkFeTW/psZgLyAKNGjeLhw4fUqVOHJk2aMGHCBK5du4ZSqcTPz4/ixYtjYWFBXFwc169f5/Hjx5w7d44qVar8xJZkTEYC8uo+Gh0dzbVr1wCQyWRCYtpz585hY2PD+PHj2bx5s9b226wKyANYWFhw9uxZTp06RdOmTRk+fDgymYxatWphamrKwIEDGThwIJUqVfoJNc8eGQnI56bYgSYBeTW5xQZlRUAedLvPZiQg//VcmPrv4OBgmjRpwurVq5HL5XTp0oWtW7cKQvKp0Qa7lBUBeUgZY8nJyUCKrX3y5An29vbC/XNxceHQoUO4uroCcPnyZapXr/7D659VMhKQh9wRI8mOgLwaU1NTZs2ahVKpxNPTk927d9OmTRsAKleuTNWqVWnZsmWaeH1OkxUBeUjpp+q9hsDAQAYNGsTChQtRqVR06dKFvHnzEh8fz9ixYwkICODWrVs6JyAPum1nIWMBebVtVdtKdQJw+NfWQoqQvDpx/fv379m5c2eaRPc5TXYE5NXxneLFizNixAhUKhW7du1i9uzZTJo0iXz58pGQkABA3rzpx3xziowE5CH37OFqEpDPTfsKmgTk1eQWf1aTgPytW7do2bIlBQsW5MqVKzRo0IATJ04gk8nSCKVVqlSJoUOHAtCzZ0/MzMwIDQ3VOoG0zATkIXM/z9XVVfDz9PX1CQgI+FnVzxKaBORv375N7969iY2NJTw8nN69e7Ns2TL09PQwNzendu3aODg4oFQqOXbsGFWrVqV8+fIMGzaMDx8+aJ2Ac0YC8tlZn3Tv3p3AwEDmz59P4cKF2bBhA6A9wuOZCcjDv+t/dTsXLlxIaGgoQUFBtGjRgrFjx5KcnMy4ceNwdHSkYMGs7Tn9TLIqIK/G1NSUGTNmkJSURPv27dP47QsXLuT27dvC/KMN9xGyLyCv9oNUKhWNGjVi586deHl5CSLAEyZMYO3atZw/f55q1ar92MpnA00C8rnNBmkSkFefu1ywYAENGjQQ/PC5c+eydetWli5dyoULF1izZg2AsK/ZunVrunXrplXjMyMBeYBTp05Rq1Ytpk6dKoj4duvWjdGjRzNy5EgKFCiAs7MzSqVS+Iy2jMfUZEVAHnTfP9AkIJ+b/HbIWEAecke8KzMBeYDY2Fhev37Nq1evKFUq5VyxiYkJ9vb2NGjQgK1bt9KsWTMaNGjws6qdbTQJyKvJLeuwjATks+LTrlq1CplMRpcuXfjll19o164d+vr6SKVSYmNjefToEVKplIoVKwrXCQsL4/3792mE4ZOTk3n+/DlyuTyN8Ko67qQWwgTQ19fHwsLi/5/t/PhvWVMLZCYFkcj/9QEkMjmGhcukEZCHlP6obpOmNp84cQI3NzeWLl1Kr169uHr1KvPnz+fFixdERUXplID8mzdvsLCwQE9Pj9q1a7Nx40Z8fHwwMzMjMTERhUJBv379ePToERMnTqR169Za5/uoyUxAXiKRYGRkRLly5Rg6dChOTk60atWKMmVSYkcjRozgzZs3zJ49m65du5InT8bzb06RnoB8bouPZCQgn5v8g6wIyAOCyG9ycjITJkwgPj6eKlWqcO7cOT5+/IihoSEKhUI4d3HgwIGf1IKskdGzRLnFBmUmIK9GPZfY2tpia2tL586duXTpEr6+vkydOpUnT57w6tUrjhw5QteuXX9S7bNORgLyqX0b9RxdokQJSpYsyYkTJxg4cGAa3+fJkyfMnz+fPXv2EBwcrFXi6pkJyEPGazBfX18qVqzIxo0btdbfy0hAHlLat2vXrjTPy+TNm5dp06YB0L59+zRC8tpwjiK7/BfnnnSB3GJnMyI3nf3OiLt37zJy5EhWr14tnAlWqVSZxoFA+84DZRW1D6RUKvH29gb4Rkg+ISGBAQMG4ObmJtgoXaRq1ars3LkTb29vnjx5goODA4AwTps1a0azZs2YMGGCVp2TyQ5hYWGMGDECLy8vrKysaNSoEYmJibi4uAhC8snJyUyZMoXy5ctz+PBhfvvtNywsLChSpAiWlunPWbqIOm7t5+fHqVOnCAkJ4ejRo5w6dYoZM2bw9u1bXrx4gaenJ7a2tkybNo28efNq3TNW/xUGBgYUKFBAWNeoqVatGi9fvuT169cUKFBAeMauVKlSjB8/PgdrLCIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiok3oblYILSIjAXlASEI/cOBAzp49y9OnT4WHwNXCBKkTO9jZ2TFt2jT69OmjUwLykNIeBwcHNm7cyIQJE+jTpw+zZ89m8+bNHD16lODgYLZv386RI0d+Ys2zR0ZJnyB3tDEzAXl1IkF1cs/U/bNx48a0adOGZcuW8fHjx3Q/ry2kl/TpVcRLkpKS0gjSJCcnI5fLefbsGevWraNMmTL4+PhQqlQp1q9fT506dVizZg1nz57VyiQkGSV9MjIyomXLlnTt2lUQGp85cyZHjhzh1q1bXLlyhUGDBrF27VohKZQ2kpGAPOSedmZVQF7dBnXfffLkCS1btuTRo0e4ubmxe/duQkNDadq0KYCQRFtbkghpEpCHFBv76dMnIcklwF9//cWlS5ews7OjRYsWLFu2DNCe9mhCk4A85J52ZiYgn1vmk6wKyMO/98vFxYUJEyawaNEivL29+euvvwC4cuUKo0aNIiAggE2bNmFl9a0odE6RkYA8QMWKFVmwYAENGzakWrVqDB06lFq1auHj4yMk8UydZFAbyaqAvDoZa0Y+woYNG1i1alXKdbUskXJWBeQ1tbNs2bJMmDCB0qVLExQUpLXt1CQgn5yczMaNG6lUqRK+vr7o6emRP39+7O3tefXqlWCbtNm+pkaTgHxuamdmAvJqsRM1ajvj4+MDwKJFiwDtb2t2BeSTkpKAlIRi/v7+lC5dGj8/P2xtbXFycsLBwYE6depgb2+vVeJ3GQnIQ4rv3rNnT0FAXo23tzdmZmbMmDED0A7BW01kJiCfW/psVgTkAQoWLEihQoX4559/cHR05NixYwQFBXHy5El69epF27Zt2bdvH1FRUXTv3p0tW7ZQtWrVn9SKzNEkIJ+6f0okEiZMmMBvv/3GunXrgBQfNy4uDkNDQ+bOncuff/7JkydPfmrds0pmAvJKpZIvX74If7dv35769eszdOhQbt68SVxcnPBep06dsLCw4P79+z+83tklIwF5yD2xg8wE5HOLDcpIQD639NmMBOThW5EI9dw4b948PD09uXv3LgArVqygR48eeHh4cO3atR9a5+8hIwH5f/75h0mTJtG/f38mTZoEpCSsl8lkvHz5knr16uHh4SEIZwA4Oztz8eJF7t27p1Wx2swE5HNDjCS7AvJq+xMZGYlcLmfRokUMHz6cDh06fCMGok2+X1YF5NWkHquBgYG4u7vj7+/Ptm3bePPmDT4+Pqxbt44rV65ga2v7o6qdbTISkM8tdhYyFpCHjG2tl5cXYWFhwnsuLi7s2rULc3NznROQ/zoG9PTpU6ZPn46xsTEDBw6kY8eO7NixgylTpgDat6cAmQvIQ+7Yw9UkIA+5Z18hMwH53OLPahKQf/LkCS1atKBPnz4cO3aMJ0+e8McffxAaGiqUSR1nt7W15d27d5iamnLu3Dlq1ar1U9uRGZoE5L/XzwsJCRGE4bQFTQLyd+/excnJiYYNG7Jy5UpWrlzJpk2buHfvnlDGysoKS0tLjhw5IsRCbG1ttU5kCjIWkIfsr0+6detG0aJFCQ4OBlL8C20Yt1kRkE+Nut2fPn2iVq1arFu3jr179xIaGkp8fDwPHz5k/vz5Wifylx0B+Yz89uPHj7Nw4UIWL17Mzp07teoMW1YF5DM7W7F9+3bOnj2LiYkJa9euJTQ0VCcE5HObDdIkIA9pz11evHgRgAULFrBgwQK2bNlC//79GTt2LKVKlSIoKIiVK1cCULp0aZ0SkAe4d+8e9+7dS7Mna21tzZgxY7C2tmbIkCGAdq2hvyYjAfnc5B9oEpCH3OO3Q+YC8rkh3pUVAXlIERP99OkTW7Zs4ezZs9y4cYPmzZvj7OyMt7c3SqVSa2MjkLmAfG5Zh2UkIA8QFRVFREQEMTExQMp4/fLli+D7pPZpW7ZsSZcuXQgJCRE+r1KpePv2Le/fv09zXT09PeRyeRoBdz09PYoVK0aJEmnPDpYuXZp69epRvPi/Y0sul2NjY0PZsmXTlJUq9JHqGSCR/uu7yqWSbwTkU5OR396+fXtu374NpDyn0Lt3b/744w+OHTsm3GNtISMB+Tlz5jB9+nTh75EjR2JtbU3btm2JiopCoVAI8UsPDw+kUimvXr36aXXPDpoE5OPj44EU4XE13t7elC1blt27dwtnSdT/Vq1alUKFCqU5F69NpCcgn9viIxkJyEPu8Q+yKiCvRl9fn759+7J8+XIMDAxo0qQJDx484MWLF4SFhXHz5k0ePXrEtWvXsLGx+cG1zzoZPUuUW2xQVgTk1XOK+t8nT54wffp0DAwMaNWqlXAWum3bthgaGmrVvq2ajATk79+/j7+//zf763nz5mXSpEkcOHCAo0ePpnnP0tKSrl278scff2hV7EDTs0RZXYNNnTo13XWmNsW7MhOQh5T6qkVc1XMkgKmpKb6+vgwfPpz27dtz4MABJBKJVrUvq+SWc08ZkVvsbEbkprPfGXHjxg3q1KnDiRMnWLx4MZDiE+nieaDsohaSX7x4MePHj2f+/PnCe/Hx8YwdO5aNGzdSrpzm9au2o7azdnZ2LFu2DIVCgb29PbGxsSgUijQ2SJvOVmSHhIQEJk6cyIkTJ5gzZ47w7NTQoUO5ePEi9evX58yZMwQHB+Pv7y+stxs3bky1atVylYC8Ou7n6OjIxIkTsbS0pFmzZrRr146tW7eyceNG2rZti5eXl/CZChUqULhw+ueVcwuzZs1i8uTJwL9+k0QiQV9fHyMjI8EvCQ8PJzExMcfq+aPRRZ/qv+L/cttFRERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERE/je0N6OkjpCZgLz6offr169TrFgxBg4cSFhYGBcuXMDd3Z369evTsmVLGjduTL169ahXrx5dunRJI86gDWRFQF7NsGHDmDp1KjExMYSHhzNq1CjatWtHkSJFcHZ2xsXFhRMnTmjlQ7KZCcir0eU2ZiQgv2XLFkaPHk2vXr04fPiwxms4Oztz7do13r59C2jnA8/pJX16cP8ero72gggGpNRdJpPx5MkT7Ozs+Pvvv1GpVNjY2DBx4kTy58/Py5cvOX/+vFYmIclIQF5N27Ztsbe3B+D27dvs3r2b/fv3s23bNs6dO0fr1q1Zv369kBxT28hMQF6NrrczIwH5ly9fcuLECbZv3058fDwymYzExESh7zo4OFCyZElKliyJRCLBzc2NtWvXcv/+fV68eJEDrdFMRgLyKpWK2NhYPn78SGhoKPv27WPKlCmsW7eOoUOHsmDBAiwsLNi9ezeXLl3KgdpnnYwE5HNLOzMSkM9N80l2BOTh34RIxsbGTJkyhXnz5rFx40bc3NwwNjamW7dunD17ltDQUOzs7H5gzbNHZgLyasqX/7dMjRo1GD58OLVq1WLixIkcPHgQgFGjRrFv374fVtfvJSMB+Y8fP/Ls2TNevnwpJDlKSkrK0EfIly8fv/76q9YlPM9IQD477bS1tdXqdmoSkIeURJfVqlWjTp06GBr+O6/WqlULfX39bxJ6azOaBOQh97RTk4D8q4gU/2fbtm3Ex8cjlUqF9bU68XX+/PmpVasWZ86c+dnVzjYZCch//vyZxMTENPOgWtDmxYsXHDp0iCpVqrB9+3Zev36Ns7Oz4NNq29yZkYD8q1eveP78OcnJyejp6ZGUlIREIhGSskokEry8vLh27RqPHz8GtK99oFlAPrf12awKyEOKsESTJk2YMmUKz58/x9jYmEmTJmFlZcXo0aNxdHSkffv29O/fn+joaExMTDK95s9Ck4B8WFgYkydPJioqSkjI6uTkRJMmTfjll1/YunUrAAYGKfOtsbExycnJ6Otn/nv9bDITkF++fDmenp7UqlWL5cuXC69PmTKFxo0bc//+fU6fPp0mMbg6ea02kZmAvBpdjx1oEpBXxw1yiw3KSEA+t/TZjATkly1bRu/evWnUqBELFy4kPDxceG/hwoXMnTuX3bt3pxFTCAgIYMOGDVqVrB4yFpC/desWDg4O3L9/n1evXrFhwwZat24tvH/58mV69+5NYGDgN0nr7e3tvxHUyUkyEpDPLTGS7ArIp45d1qlTh/3796NQKJg2bRre3t60adOGI0eOCPdWWxKgZyQg/7VYBvzrt4eHhwuiWoGBgTRq1IglS5bQqlUrVq9ezblz57RqfGYkIJ9b7CxkLCCfFVu7a9cuKlasmOZzTZo0Yc2aNYB2jFNNAvIxMTG8f/9eEJpKHQN6/PgxtWrVIioqCn19faysrBg0aBCNGjXi+PHjWhlPyIqAvBpd3sPNSEAeyBX7CpoE5HPbmlqTgDzA6dOnKVasGN7e3pibm1OsWDFcXFx4+fIly5Yt48aNG8I8mpyczOLFiwkODub06dPY2trmQGs0o0lA/n/x85ycnKhQocJPqX9W0CQg//bNa7p27cqAAQPw8/PDyckJV1dXatasycePHzlx4gQA06dPJzg4+Jv9IG0TzMhIQP571ifLli1j7969gtCWUqnUCsHj7AjIK5VKkpOTBZ+2Vq1a7NmzB5VKRZs2bVi/fj1eXl7UrFmT3r17a40/C1kXkP+6jV/77SNHjqRJkyaMGzeOc+fOadW+ZkYC8t9ztmLdunVUqlSJ0NBQrToXpElAPrfZoIwE5L8+d9m3b18GDBjA/Pnz2b17N40bNxb2NX18fMiXLx8HDx7Uun3NzATk1eJgTZo0QaFQsGTJEuLi4rhz5w5du3alWLFibN++nS9fvnwjYqhNZCQgn5v8g4wE5CF3+O2QsYB8bol3ZSQgrz5b8eLFC5RKJQ4ODvj5+bFu3Tq6du2Km5sbPXv2ZMqUKZiYmFCkSBFBLEzb0CQgr4vrMJVKhUqZVgwzOeYjSR9f07ZSAUFA/kt0NJf+vMjVKynjTO3TNmnShBkzZnDz5k3h80uXLmX9+vXMmDEjjU87a9Yspk6dStWqVYXX9PX1KVu27DdCf+XKlaNevXoULVpUeE0ul1O6dGmKFUsbm1IoFMjlWTuD9jUZCchn1W+vVKmS8LpSqcTMzIzGjRsLf2sDGQnIjx07lsmTJxMYGMgff/wBQJEiRRg7diwxMTF06NCBT58+CXu4UqkUQ0NDrbM/oFlAPiwsjD59+uDk5ISnpyfHjh0DwNramkGDBlGxYkUWLlzIrVu3hDnz8uXLGBsba6UoXXoC8pC74iOZCchD7vAPsisgrz5Ha2RkRN++ffHz82P+/PnMnTsXhUKBvr4+crkcuVyOsbHm3+5nk9GzRLnFBmkSkM9sX6F27dp8/PiRfPnyoVQqkclkdOjQgYCAAF6+fJlmHtUGMhKQB9iwYQMLFizAxcWFUaNGcfz4ceG9GjVq4OzszNGjR0lKShLmSAMDA/YVn7gAAQAASURBVOrWrUvJkpnHXX4Wmp4lys4aLHVcS9P/c5KMBOTV90Z99hD+3b99+fIl+/fvB8DMzOybfWptaV920fVzTxmRW+xsZuSWs98ZcePGDerWrcuAAQOYO3cuf/75J0+fPhXe16XzQNlF7QPlyZOH4cOH4+/vj4+PDwsWLABg9OjRrFmzhitXrlCrVq2crGqWSG98fX2+vXLlyuzatYvo6GgaNmxITEyMEFcA7ZlPsotCoWDixIk0bNiQuLg4du/eTevWrXny5AmtWrWibNmy7N27F3d3d7Zv387ChQu5f/9+Tlf7h6A+5w9Qt25dFixYQJ48eahbty4vX76kSZMmBAUF0a1btxyu6Y/l8+fPvH//noiICADBfimVSqGfq30TtYD82LFjadu2LXFxcTlQ4/+e8PBwVq9eTUBAAHv27AF0d4x/L7GxsURGRgL/tl3XfBERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERGRnCfns/TqMJkJyENKcgd1AoCQkBCKFSvGnj17qF69OuXKlaNq1arY2tpSpUoVqlWrRv369ZkwYQJGRhkLHv1MMhKQf/bsGZs2bSIwMJDg4GAgRThr4sSJLFu2DAMDAwoVShF+Vv8OkCJAqm0PCGtK+vTiee5pY0YC8jN9JzF58mRevnzJmzdvaNWqFQcPHkzTBvUDzcOGDaNAgQKCKIq2tTO9pE+3b97AvX5dYmO+cO3aNeF1iURCVFQUtWrVol27dsyfP19oT8X/x95Zh0d1dHH43c1GsABJILi7J3hwd3d3p7i7B5cQoGhx2kJxDRR39yDBIYSQAHHPfn/st5csyW4Cbcnu3Xmfp0/L3bvbOczcM2fOzD2/woVZsGABly9fNqqC2Fr0FX369MmfBw8e4OnpGa/IQK5cufDw8KBx48ZSf5YtW5Y0adIY5QvrhgTk5WSnIQF5zwf3qVWrFqNGjWLo0KE4OTkRERGBpaUlYWFhNG3alMaNG7NixQpp7CoUCho2bMi9e/d0ipMmN4YE5EHTbnt7e1avXs2tW7fYsWMHv/32G6tXr2bQoEG0atWKmTNncvv2ba5fv/6TW590DAnIgzzsNCQgL6f5JKkC8tpCL9qCSK9evaJXr15EREQwatQobt++zdq1a5k1axYbNmzg0KFDOkWGkxt9AvIvnj1jxowZTJgwgTVr1ugUmtUWjnZ2dpaE5CdNmkT9+vVZvny5URVJBMMC8p4PH9C0aVNq1apF06ZNmTt3Lmq1GpVKZTBGmDdvHhs2bCBt2vjPQXJhSEBeTnYaEpDXUrt2bSZMmAB89TkqlQqFQkFkZKR038WLF//bxv4DDAnIazF1O/UJyHs+uE+bpg0ZNWoUw4YNk+KfuEXl1Go1KVOmZNSoUZw6dYo//vjjZzc/yRgSkH/k+ZAyZcpw/fp1qcjat8I9V69eBaBkyZL88ccfvHz5kiZNmgDGNXcaEpB3dXWlefPmVKtWjXLlyhEaGqpTHF8rJt+hQweePn0qFXA1JvtAv4C83Mbs9wjIa+ncuTMNGjTg+PHjdOzYkSNHjnDw4EG6d+/OvHnzuHDhAm5ubkZV/DshAXm1Wk14eDht2rTB1dWVcePGERQUBED27NkZMGAA+fLlY+HChSxcuBCAwMBALl26RLp06YxOgCkxAfkxY8Ywb948ChYsSIMGDRg6dKgkQuTk5MS0adMoV64cbdu2ZeDAgUyaNIkWLVpQuHBhqlev/hMtMYwhAXk55Q70CcjHzRvIwQcZEpCXy5g1JCDvOmMqc+bMIWvWrFSsWJEJEybQpUsXdu/eDYC/vz87d+6kTp068b7btWtXwHiEXgwJyHu/e0uHDh3o3r07O3fu5K+//mLLli14enpKsU/Tpk2ZPn260cUD32JIQH7s2LGyyJEYEpDXlzuwtLTk+fPnVK5cmRo1atCuXTsAbG1tmTRpEuPHjydPnoRFOJILQwLyz595sXz5cgICAqS4Xa1WS8IZlSpV4t27d9Ie0apVq6hSpQqPHz/m0qVLRiVEaUhAXi5+FgwLyE+cOPGHfW1ckvs51Scg/8jzIb27dqRy5co0aNCABQsWEBsbi0qlIjAwkDJlytC0aVMWL14s2ZA1a1ZGjRrFwYMHsbe3T+h/l2wYEpCX0x5uYgLygMnvK+gTkJfbmtqQgDzAu3fv8PHxISQkBIBFixbh4eHBtm3bWLRokRQfgeasSfXq1blx4wZOTk4/zYakoE9AXk5xnj4BeQAbmxRUq1aNtm3bStc2bNjAhQsX6NWrF+3bt8fFxYVXr17h4OBglGtMLYYE5H90faJQKGjRogVgGgLycc89HTt2DNAIP2hztNqYtmPHjtK4LViwIIMGDeLs2bMULlz4p9piCH0C8nHnTEM2xo3bJ0yYwLx587h//z6lS5f+qXYYwpCA/I+erahbty5///23UZ0L0icgD/LyQYYE5EH33OXp06fJmzcva9euZdy4cdSsWVO6T61WU6RIEaPc1zQkIK/NV2ptLFq0KHXq1GHp0qUUKlSI8uXL07NnT3755Rfs7OwIDw/H29v7p7Y/qRgSkJdTfJCYgDyYftwOhgXk5ZLvMiQgH/dsRbNmzZgzZw6xsbH06tVL2v86fPgwixcvBpD2kYoXL/5TbUgK+gTkjWUdplariYyMJCwsTOf6+/fvefLkCYGBgdK12IhQIt7cI/L9U517Y0I+UzWTmm5lv+YuFUolkZFRREVG6uSBypUrx7p16xg6dKgU0wYGBrJp0yZ69uyp87t58+Zl2rRpODo6Sjl3CwsLsmbNSsaMunnSnzG2DQnI/2jc/m2cbgxxuyEB+SnjR7Nu3Tr27NkjCfuq1WqUSiXNmjVj5MiRBAYGUqRIEZYuXcqKFSvo0aMHpUqVMjphY30C8o88H1KpUiXSpUtH5cqVyZAhA4MHD+bOnTuoVCratGnD/PnzyZYtG5UqVaJevXo0aNCAtWvXsnjxYqN69wT0C8iDfPIjSRGQB9OPD5IqIK/vHG1AQAADBgxg6dKlTJs2jRkzZqBUKiVhRWPBkID88OHDZeGD9AnIJ3VfYdGiRcDXOUMb96VJo3v2L7lJTEAeYM6cOZw9e5b58+dz8OBBBgwYQP369Tl58iQpUqSgS5cubNq0CR8fH5RKpVGurfW9SySnNZghAXmvp08YNWoUnz9/1hGQ1+a7ypcvz61bt6S+M+Z9akP4+8vn3JMh5OJnk4qpn/02xPXr16lcuTLDhw9nwYIF1K9fnzt37kjnDsB0fFBSSSwGWrJkCZMnT6Zw4cJs2rSJ8+fPG11cmxCPHj1i+fLl8d4h0ne+/ffff+f58+fS+XZTR6FQUKZMGRYsWECqVKkYMWIEI0aM4OjRoxw+fJi5c+dy4cIF/P39CQ4OZv/+/UYXE/2baMd5VFQUFSpUwM3NjYwZM1KzZk18fHxIkyaN9I6ZHHnw4AFNmjShZs2aFCxYkCVLlkh/J3HzKVZWVoSHhxMdHc3EiRNZuXIlq1evlsXYuHfvHuXKlePgwYP89ttvjB49mnr16vH69evkbtpPY9asWTRo0IASJUrQuXNn9u3bByCdJRQIBAKBQCAQCAQCgUAgEAgEAoFAIBAIBAKBQCAQCAQCgUAgEAgEAoFAIBAIBAKBQCBIKoYVMQV6SYqAvBaVSkVkZCRWVlYcO3aMOnXq8OTJE1xdXalYseJPaO2PY0hA3vPBfbq1b0XOnDl5//49YWFhTJw4kQEDBkj3FC1aFHd3d2rXro2NjQ2bN2/m2rVrktCWsaCv6JPng/t0bteSPLlymbyNhgTkN29Yx749u/hr507KlStHeHg4w4YNY/PmzdSvXx+VSoVSqUShUEhFvuvWratTNNJYSKjo04N7d2lSryYjxk6gSbOWVC3vxG+//UaPHj0ATQGD1atX07x5c6kIiVqtRqFQkD9//mSxIzH0FX3yfPiAwX17YqGAhw8fMn78eKZMmSIJNKZOnVoqFKgtvnbp0iXy5ctndGJ3hgTk5WSnIQH5p08e06pJAwb070fv3r35/PkzzZo14/z589SqVYsUKVKwdetWihUrFq+AjkKhIGXK+L+ZXOgTkPd+95aHD+4T9sWPli1bkjZtWqpUqcLFixextLSkZs2aZM+uEfuJjY0lbdq0ODs7kz59+oT+N8mOPgF5OdlpSEBeTvOJIQF5P7+PBAUE4k0kTk5OUtEXbUEkFxcXWrZsSZo0aYiNjSVfvnzky2dYACi50Ccg/8jzIU3r1aRM6dLExsaybNkydu3axahRo6hTpw4WFhZSEShnZ2cGDBhA69atefv2Lbdv36ZEiRLJYE3CGBKQf+T5kJYN69KjR3fq1q3L/v372b17N3379sXe3p7Y2FhWrFhB69at48UIBQvG/3tLTgwJyMvJTn0C8n5+H/no68uD0ABq1qypMwcqFAqio6MJDg4mOjpa+mzChAnMnTsXHx+feEW+kxt9AvJyslOfgLw2/unaoxdDB/WX4p9z585Ru3Zt6T7tXFKqVCkqVarEoUOHaNGihdHFeoYE5B/cu0vLRvUIDAxg8eLFbN68mRQpUmBhYYG3tzfly5enefPmzJgxQ/pOiRIlOHHiBClSxBfhSE4MCcjPmjqJnTu2snDhQqysrJg2bRpjxozB3d0d+CokFRMTQ968eRk8eDCrV6+mTZs2ZMsW/zlILvQJyMttzH6vgLy26JmFhQW5c+emV69e5M2bl5MnT0oFWtVqtdHlvxISkAdNP9nY2FC/fn1q1arFjh07CAwMZMWKFaRPnx5nZ2dmzZrFunXrmD59OsuXL8fOzo63b9/i4eGBnV38nEtykZiA/NpV7vzxxx/s27dPEgJ78OABKVKkICgoiDRp0lC+fHk8PDyYNWsWV65cwdvbmwYNGjB37lzAOITgDAnIyyl3oE9AXl/ewFR9kCEBebmMWUMC8jdvXOPA3t3s37+fcuXKAVC9enXq1auHWq3GxsYGV1fXRP8fyW0jGBaQBzhz6iR2dnYMHz4c0DyDxYoVIyQkBD8/v5/Z1H+EIQH5zRvW8ccff/Dnn3+adI7EkIC8vtzBiBEjqF+/Plu2bKFBgwasWrVKJ3eZNm1aZs2aZVQFwQ0JyAcHBdG5TQtiYzTrrcGDB2NrqxEYCwwMpH379jRq1Ig1a9agUCikfMm6deuYM2eOUa3DDAnIy8XPgmEB+Zs3rrFz585/7GuTG30C8k8eP6Jlw7q0aNOWXt27cvr0aXbv3o2LiwuVKlXC1taWP//8kxo1asR7BrNkSVjQKTkxJCAvpz1cfQLy3u/e8uL5c6JDvlC3bl2srKyoUqUK586dw8bGxqT2FfQJyMttTZ2YgDxAx44dWbRoEbVr15YEXg4fPkytWrWwsLCgUaNGbNy4kXbt2mFhYWGUIhL6BORBPnGeIQH5mJgY0tjaMnfuXKytNX29c+dO3Nzc2LZtG2XLliVlypQUL16cRYsW4ebmZlRxT1wMCcjLaX1iSEA+sXNPv/76K40aNYoX04LGNhub+HsyyYU+AfnE5kx9NtrZ2TFy5Eij6EMthgTk/8nZCpVKJeWLjAFDAvJy8kGJCchriXvu8ujRo9SoUQN3d3dKly5NlSpVsLCwkPLUxravaUhA/pHnQ2ZPm0xkWAjR0dGMHTuWxo0b4+rqSpcuXXj06BEZM2akVq1agEakukCBAuTKlesnW5E4hgTkQT7xgT4BeTnF7WBYQF4u+S5DAvIJna3Yt28fffv2JWPGjPHECf39/Vm2bBlPnz6lZs2aP8uEJKFPQP6/XofFxMQQFhZGbGyslEMDePPmDQEBAWTLlo106dIBmtzarVu3sLGxoUKFCtK9/v7++Pn5kTp16q+/odSMI7VaV5CsRYWCdCrtSIoUX89O2NjYUMrJmfv37sTLAzVr1ox69eqxaNEibGxspLyWIZI7HjIkIP9vxe3GgCEB+THDh3Bw3x7OnTtHsWLFOHPmDGvXrmXUqFHY2tqiUqlo1aoVpUuXZsGCBaxbtw47OzuqVq3KypUrga/noJIbfQLyHz/6MmrIQHr16sWCBQsA8PT05Pbt23h6elKyZEkpb1CzZk3WrFnD27dvSZUqFUuXLjW6OMiQgDzIIz9iSEBeTvGBIQF5P7+PBPlGEBQUZPAcbdq0mrPG/fr1IywsjPnz5zN48GCjOl9hSEB+zPAhHN5v+j5In4D8P9lX0P45uW2LS1IE5LWxaoECBShQoAD169fn5s2bzJkzh169euHg4MCwYcOws7NjwYIFLFq0yKjyBqD/XSKQzxrMkIC854P7tG7akNatWvLu3TvJf2rPXZYrV44WLVrEE6k2xn1qQ9y/f5/OnTujVqtN/tyTIQYMGMCuXbtM3s8a4uPHj3z48AFfX1+TP/ttiKioKEaMGEHPnj2ZPXs2sbGxlChRgv79+7NmzRoaN25sVGeCf5SPHz8SEBDwXTFQTEwMS5Ys4ezZs0YZ237LnTt3cHJyYsGCBZJ/UavVJnm+/Z+gUCgoVaoUf/zxB+3ataNKlSpcuHCBsmXLUrZsWVq2bElkZCSHDh2idOnSZM6c8FldU0LrT+Oe/4mOjkalUvHq1St69erF3LlzKVOmDHPnzmXSpEmUKlWKu3fvmoyv+l48PT2pVq0aPXv2pGrVqjx58oSRI0dSpEgR6tWrp3OvQqHA3t6ekSNHsnHjRi5evCidwTJlPn/+TJcuXejZsyfz5s0jMDCQM2fO0KxZM3r16oWbmxuFCxc2+vn4nzBr1iyWLl3K1KlTSZUqFatXr2bevHlcvXqV2bNnS0LycrVfIBAIBAKBQCAQCAQCgUAgEAgEAoFAIBAIBAKBQCAQCAQCgUAgEAgEAoFAIBAIBALBv4txVTIxEb5HQB40RfGsrKz49OkTdnZ2HD9+nCpVqtCuXTs2b96Mi4uLURboMCQg/+rlS7q0b0XH9u2ZMWMG79+/Z/369ezdu5f27dtja2uLhYUFzZo14+HDhxQtWpQSJUoQGhrK0aNHjapYmb6iT1obm7dsw6J5c0zaRkMC8p8/feLcmVO069hFKiJoY2NDiRIlWLlyZbyxqS0AMGnSJKnYjrG84JxQ0adHng+pW82FwcNG8svwUQQHBdG4cWOOHj1Ku3btSJEiBRkyZKBFixY6v2UM9uhDX9Gnx488adW4Pu07dWHIwH6cOHGCX375hR49epA799di4VrbQkNDcXV1ZceOHZw9e9aoCpwbEpCXk52GBOQDvnxh1JCBtG7XnlmzZgGQK1cuChQowIsXL3Bzc6NBgwYULVrUqMcr6BeQ93xwn+4d22Lv4MCDe3dZsWIFp0+fJm3atNja2vLlyxc+ffrE3bt3qVatGlFRUSxcuJDnz58bnQgl6BeQl5OdhgTk5TSfGBKQf3j/Hv16diUqMpLgoEBKlCjBjBkzcHZ2xtLSkipVqtC0aVOpIL8x2KMPfQLy4eHhzJg8gRat27Fx3WoAXr58SevWrZk5cyahoaE0b95cKsivVqv5888/8fPz49q1axQrVuxnm6IXQwLyH30/MKhPDzp06caiRYsAyJcvH/369ePdu3cEBQWRI0cO2rRpIwnAgXHGCIYE5OVkpz4Bec+HDxjavw9h4WG8ff2KqlWrcvToUeCrX1EqlZJt1tbWzJo1i+XLl3PlyhWjK1ilT0BeTnbqE5CPG/+MmzwNR1sbKf55+fIl7u7u1K9fnzx58qBUKqV/evfuTYUKFYxuXZ2YgHyj2tXoM2AwBfPmYtGiRXz69ImsWbMCEBAQwIABA5gyZUq859GY/CwYFpD/be1qDu3fy4EDByhbtiwA58+fJ2/evLx8+ZKMGTNKRS+1Y7dkyZJERUUZVbFIfQLychuz3ysgr503AgICSJs2LdOmTePMmTOUKVNGR0TD2OYUfQLy8NWfhoSE4ODgwNGjR6levTpWVlZs3LiRFStW0Lx5c6ZNm0avXr04cuQIGTNmpEyZMjrr0eQmMQH5L58/c+f2LaZOnSoVKIyOjsbLy4spU6bw+vVr6tevT//+/XFycmLy5MlSIUgtxiASa0hAXk65A30C8obyBqbogwwJyMtlzBoSkAcIDQ5BZWlJnjx5iIyMRKVSkTt3bsqWLUtMTAxubm6UKVPGqOK6hDAkIK8VfStdthzK6HAyZdLk/qKjo8mYMSMODg6Ehob+7Cb/EIYE5LU5ku7du5t0jsSQgLyh3MGsWbOwsLBg6tSpen87uW2LiyEBedDEPNY2NqSzTcP+/fsB6N+/P3Z2dpq/hxkzqFmzpmSThYWFFCcZ0/NqSEBeLn4WDAvIg8bXWpq4r9UnIP/50ycmjh5BizZtmT1/MY62NrRu3ZpSpUpx8OBBKlWqBGB0onb6MCQgL6c9XH0C8g/v36Nj62bY2Tvw3OspOXPmpF27dgwaNIiMGTPi5+dnMvsK+gTk5bam1icg/61/zJ07Nzdu3ODMmTO8fv0aCwsLatasSVRUFBYWFjRu3JhVq1YRFBQkCSsaE/oE5OUU5+kTkNf2pTaHFXcedHR05Pjx4zrCH7Vq1eLdu3c/p9E/gCEBeZDP+sSQgHxi557Sp09vMoKb+gTkE5szE7PRGOI7LYYE5OV0tkKfgLzcfFBSBeQh/rnLU6dOUb16dbp168bmzZupXLmy0QlUg2EB+RfPntG0Xk2at2xDvtw5eP78Oa1bt2bgwIEMGDAAJycnnf6Mjo5m2bJlvHr1ikKFCv1MMxLFkIC8nOIDfQLycorbwbCAvFzyXYYE5A2drfDx8SE4OJicOXNKuZ9nz56xcuVKtm3bhoeHB3nyJCw8mxzoE5D/0XVYjx49KFq0KEFBQdjbf13bPX/+nC9fvpArVy5JCDgkJISbN2/GE4YPCAjAz88POzs7aa1jZWWV4NmqDBkykDp1atKk+XqeQKGywjprYVB+tal92ewMr1Mgnv1KpZJUqVMTFRll8nkgQwLyIJ+43ZCA/K0b19mz6w92HzwmnZUYOXIkhw8fZvHixUydOhW1Wo1SqSRPnjysWrWKgIAAbGxssLbWrNGNJXepT0Ae4PXLF6RMmYrWrVtL/rJw4cJky5aN27dv0759eyknmyJFCoYOHZoMFiSNhATk5ZYfMSQgL6f4wJCAvPYcbWx0FAEBAQbP0WqxtrZm+PDh9O3bV4oPjAFDAvJaH3Tm9GmT9kH6BOTltq+QFAF5+Bqrav2qo6MjzZs3p3nz5uzbt4+DBw/Sr18/QkNDuX37tjTHGgv63iWS0xrMkIC8n99H+vboQss2bfl1pbt0PTg4mNSpUxMWFsbAgQOZNGlSguuP5F6TJJWHDx9So0YNevToQa9evUz63JMhrl27xvbt2zlt4n7WEPfv36dbt26EhYXx8uVLkz77nRiWlpbs379fit+0/VK1alW2bt3K8+fPyZYtm9H3mSHu3r1L+/btiYyM/K4YqG/fvvTs2VMSljdm7t69i4uLC6NGjWLkyJHxPv/06RMDBgxg8uTJRn++/Z+ijRVKlizJrl27aN26NVWqVOHs2bOkSKHJh6ZMmZI2bdokc0v/He7du8f48ePZtGkT9vb20rOqUql4/vw51atXp2HDhlLuumLFikybNo158+YRFBRkUv4qqXz58oUxY8bQsWNH5s+fL12/dOkS27dvp169ejo+LTg4GE9PT3x8fLh8+bJOnt+U8fX1Ra1W07t3bwBsbW1xdnamWLFi3L59m549e3Lp0iWTibO+B7VazefPn/Hw8GDx4sV07doVgCZNmrBo0SKOHTuGWq1mzpw5srRfIBAIBAKBQCAQCAQCgUAgEAgEAoFAIBAIBAKBQCAQCAQCgUAgEAgEAoFAIBAIBALBf4NpvnGfjBgSkH/39g1PnzzWuaYVinj16hU5cuSQCj2cO3eOAgUK0KRJE65evfpT2v49GBKQj46O5o/tWyhWvARTp07F2tqaXLlyUbFiRa5evUpISIhUvKJy5cps3ryZvXv3snTpUk6fPk2pUqV+sjX60Vf0Ka6NI8dNNGkbDQnIA6RLn576jRpTqUo1QPNiM0DBggWJjo4mNjaW2NhYne+o1WqjKu4JCRd9io2NZdfv2xk7cSrjp0wHIHWaNDRp0oTdu3fj5eWFQqGQbDYF9BV98vf3Y/yoYbRs05YpM+dQsGBBBg0aRL169Xj79i1Xr17l1atX0v0eHh60adOGrVu3cvz4cR2Bv+TGkIC8nOw0JCAPkDZdOtq070S9hk2ka7NmzeLs2bP89ttv/Pbbbzg7O+Ph4QEQ7zk1FvQJyD998pjWTRvSsm17Nv/xF76+vjx79oyTJ08CmoJW6dOn55dffmHo0KE4OTlRp04d1q9fz/79+8mZM75Ye3KiT0BeTnYaEpAH+cwnhgTkfd5706V9Kxo2bsqKtRs4dOgQwcHB9OvXj+3bt6NSqdi6dSvu7u5GYYsh9AnIg6bQd3BQIFmzasR7o6OjyZUrF4cOHUKpVLJo0SIePHgAaMbw8+fPuXz5MhcvXjSqwk+GBOQB/P39adS0OZ269ZCubdmyhatXr9KoUSOaN29O7dq1peK0xhovGBKQB/nYqU9A/pnXU1o3aUCN2nVYsWYDZ8+e5c6dOwwfPhz4WiBRqVSSKlUq7Ozs6Nu3LzNnzuTUqVOSqLWxoE9AXk526hOQh8Tjn/Xr1+Pk5CTFP9HR0QB06dKF/Pnz/xwDkoghAfm7t29Rv0Zl+g0awsRpM+nTpw/h4eHMnTtXuqdw4cJMnTrV6OcTQwLyADEx0bRq10GnCJqHhwfLli2jZs2aFCxYkH379gFf+7Njx44sXrwYwCh8kj4BeZDXmDUkIJ9Yvitr1qx4eHigUqmoXbs2T58+5fPnzz+r6d+FIQH5uDRs2JAvX75Ia669e/eSM2dOFi9eTFTUV8GJQYMG0aZNG5MSkAdN7D5mwhRq164NaPrTyckJBwcH+vTpw8KFC9m1axerVq2SvhNXiElbnDc5MSQgL6fcgT4BeZCXDzIkIA/yGLOJCcgDqCxVPH38iMePH2NlZYVSqWTbtm04OjqyYMECTpw4weHDh39eo38AQwLyL549w23xAsLCwsiTNx9DhgwBNP2jLbpvZWVFYGCg9J3t27fz6dOnn9P478CQgDx8zZHUqFEDMM0ciSEBeTCcO9AKyGtzB8YQ0+kjMQF50PjbqjVq4urqSs2aNdm5cyfr1q0D4PHjx9StWzeecISxCRgaEpAHefhZSFxAHjS+1tPT02R9rT4BeYAPH3xwyJCBBo2bARAVFYWVlRXNmzeXfGtc32PMz6YhAXk57eHqE5D//OkTg/r2pHW7jvyx5wABAQE0bNiQEydOMGzYMHx8fHBwcGDw4MFGv6+gT0Ae5BXP6hOQf/7Mi+mTxjGoTw/GjhgqPXe5c+eme/fuqFQqYmJiUKlUkqDLnTt3yJ07t1EKvOgTkJdTnKdPQP7bvgTNXKgdl1WrVo0n9hsWFkbJkiV/XuO/g8QE5EEe6xNDAvJJOfdkKugTkE/KnGkqGBKQB/mcrdAnIC83H6RPQP57zl2ePn2a/Pnz07hxYy5duvSzmp5kDAnIA+z8YztOzmWYv3Q5kydP5rfffmPlypXs3bsXNzc3nj17Jt175coVWrVqxfr169m7dy/ZssXfR0wuDAnIyyk+0CcgL6e4HQwLyIM88l2GBOQh8bMVrVq1ok6dOtLZigwZMtC4cWOuXLliVIJQ+gTkAWzTppXmzMjISHx8fBg7dqzOOqxkyZIsW7YMPz8/aa5p2bIlISEhPH36VOf3QkNDCQwMJCwsTLpmaWmJlZUVVla64q2ZM2emQIECOoJ5KVKkoGrVqpQvX17nXkdHR3LlyqUrIq9QoLCwlMaRPgH5uJh6HigxAXmQR9xuSEAewKl0Ga7fe0zxkqUk32Nvb4+TkxN///23JLqpVqulz21tbSVRUWPJXRoSkAfInCUrPfv2p3z58igUCun5s7a2JioqCkAnD6211dhyfAkJyMstP2JIQF5O8YEhAfm452i3bt36XedoraysTEZAHr76ICcnJ5P1QfoE5EFe+wqGBOT1rTdVKhUvX77E3t6eY8eOAdCsWTPWrl3LqVOnmD17NmvWrCFlyoTf9UgO9L1LJKc1mCEBeQBfHx/Sp0/PpOmziY2NpUuXLtSsWZP8+fMzc+ZMVCoVU6dONbr92u/Bz8+PQYMGSYK1pnzuKTHKli3Lq1evTNrPGuLJkyfUrFmT+vXrs3XrVpM++51UtALycfusZcuWODk5MWnSJGJiYoy6zwzh7e1NkyZNaNGixXfHQKlSpTIJAfknT55QuXJlOnfuzPz584mNjcXd3Z2hQ4cyYMAAbt68SbFixZg6darJ9mNCaOOduLGONlZ49+4dBw4coFixYvzxxx+EhIRQq1YtQkND450VMnVGjx7N4cOHqVu3Lp8+fUKpVBIVFYVaraZnz55UrlyZVatW6bxzVKVKFXbt2kXevPrfJTBlPn36hL+/Pw0bNgTQWc/6+voC6DzvZcuWpUOHDpw6dcqo8oX/FIVCwfv377ly5Yp0LSwsDBsbGzZu3MjLly+ZPn16Mrbwv0OhUJAqVSr8/Px48+YNoPEZGTJkYNy4cdSpU4dTp07xxx9/JHNLBQKBQCAQCAQCgUAgEAgEAoFAIBAIBAKBQCAQCAQCgUAgEAgEAoFAIBAIBAKBQCAQmBLyeVv7J2BIQN7zwX2a1K3B7j9/58v/hbLUajUWFha8fv2aihUr0rFjR+rWrUtMTAwAJ06coHr16jg6JlzcJLkwJCAPmkK0+fLnp3LV6joFccqXL4+trS1BQUEAOgU8mjZtSvXq1cmSJUuCv5kcGCr6JBcbExOQB82LzE2at8KlchXpzwBp0qQhKiqKoKAglEolnz9/5s8//9S559v/Ti70FX1SKpWMGDuBISNHA1+LOnTv3p3KlSszZ84cwsLCjMKGpKCv6BNAUEAgNWvXpUef/tK1mTNncuzYMYYPH07Lli3p3bs3p06dAqB69eo0aNCA48ePG1VRAkMC8iAfOxMTkNeO1c7de1KpSlVAM2ds3ryZ3bt3c+TIEW7dukX9+vUZP3680RY/0icgHxQYyELXWTRv1ZrR4ydhb++Ara0tVatW5f3797i6unLp0iWCg4P55ZdfOHz4MNWqVaNly5acPn3aqPoS9AvIy8nOxATkQR7ziSEBeYBnXl7YWNvQrVcfSpctT7ly5bhy5QrFixdn8eLF/Pnnn1SuXNnoC88ZEpBXq9WEh4cTGRnJm9eaAnMqlYqoqCgcHR3ZtWsXr169YtGiRdJ38uXLh4eHh1GN2cQE5AHy5stP+05dyJtPIzi0ZMkS5s6dy+rVqzly5Aiurq74+vpKos7GMEa/JTEBeZCHnfoE5ENCQljoOovGzVowdtJUSpRyokyZMgwYMCCeWKFarcbf35+HDx9y8eJFrl27RpkyZX66LYbQJyAvJzsNCchrC2B/T/xjrMXXDAnIR0VFsXnDOnr2G8D4KdOJiYnBysqK/v37c+XKFby8vJKhxT+GIQF5bTzbu/8guvXqg0qlQq1WU6dOHezt7dm6dSsXL16kbt26DBw4kKCgoAT7M7l9kiEBeTmNWUMC8knNd9WuXRsLCws6duzIsWPH2Ldv3882I1GSIiCvHXPp06fn1KlThIeHU6FCBSpWrIi3tzcFChQgU6aE16vGQFIE5LXkyJmTHDk0gjDXr1+nZcuWHDt2jK5du9KmTRvmzJnDjh078PHx+f9vG0/sbkhAHuSTOzAkIC8nH5SYgLwWUx6zSRGQV6vVlK9YiS49elOjRg06d+5MkyZNcHV1ZcyYMVSpUoV27dpx+fJlwDgF7wwJyD+8f4/qFUuzaO5sPrx/L8UGoOkf7Z5JVFQUlpaa70+dOpXOnTvz+f/zj7GQmIA8fM2RVKtWTfozmE6OJDEB+aTkDt6+fSvlDpLbHn0kRUBeS8CXL5w5c4Y5c+ZQvXp1du/eTfHixalduzYhISFG+UxqSUxAXosp+1lImoC81tf269fPJH2tIQF5gKxZs9GoaXMqV9X4Hu3cr1Qq8fPzA772lTGI9+nDkIA8yGcPV5+APMCnT/4EBQXSoHETMmR0xMrKioULF9KpUydevnzJ5MmT+fLlC0OGDDHqfQVDAvJyimf1Cch7PnxAk7o1+ejrS0xMDBfOnqZpvZo691StWpVDhw4xadIk9uzZw8iRI9m5cyezZs0yOpE0fQLycorz9AnIJ9SXTepqxFP1jcvp06dz+fJlOnbs+J+3+3tJioC8HNYnhgTkQTM+kzKfxMUY7dQnIA/ysTExAXm5nK3QJyAvNx+kT0BeTucuExOQBwiNs47UisL26tWL6dOns3PnTv766y/p3vLly1O5cmWji/UMCcjLKT7QJyAP8onbIXEBeTD9fFdiAvKQ+NmKOXPm6JytSJ8+PbVr1yZPHv3Cs/810dHRqNVf5++CGWwYX8WBQH8fnfseeT7k/NnT+Pl9lObMiPBwtm3bxvbt23XmzEqVKrFixQrCw8N1BEdTp05N6tS6Z+ezZ89OsWLFsLf/uu5LkSIFLi4uODs769xrb29PlixZSJVKNw79kbGRFAF5U88DJUVAXg5xe2IC8lrS/l+IUqFQoFarsbGxYfLkyVy9epX169dLn2nHkzH5H0hcQB4gS9Zs1G3QCND0lfb5S5s2rRQvAEycOJGDBw8maGtyk5CAvNzyI4YE5EE+8YEhAXnQPUdboUIFkz1Hm5iAvBZT9kGGBORBPvsKhgTkE1tvuri40LFjR+rUqaPzvbJlyzJ27FgKFkz4rHVyoO9dIjmtwRITkAcICAjgo68vgYEBNGzYED8/Pzp27Ej//v3ZunUrM2fOlAQ+jYlc4w5J/5SZdZzrLz/xITA8wX+evfWlco3atOvWmw+B4YBpnntKKulM2M8aIiQkhGnTptG6dWtmzpyJs7OzyZ79NsTz589ZvXo1kydP5uLFi/HOE2jXIT169MDX15cLFy7oXDclnjx5go2NDQMGDDDpGMgQV69eJTg4mIIFC/Ly5Utq1qzJrl27uHPnDg8ePKBcuXJs374dMM0+TIjHjx8zatQoPn/+LI3bmJgYLCwsePXqFRUqVODq1asAlCxZkt9//53nz5/TpEmT5Gz2f0KZMmUYMWIEDg4OVKxYkQ8fPmBpaYlCocDDw4Pt27cn6IuNbd32b5InTx7mz59P/fr1ga/nHLJkyYK1teZ8gPbvwt/fH6VSyZYtWyhRokTyNPg/In369NSoUYMdO3Ywffp0Dhw4QLly5ShfvjyNGjWiWbNmvHjxIrmb+Z8QGxtLdHQ0OXPm5O7du0RGRqJUKomJiSFdunSMGDECGxsbISIvEAgEAoFAIBAIBAKBQCAQCAQCgUAgEAgEAoFAIBAIBAKBQCAQCAQCgUAgEAgEAoHguzC+qqhGiiEB+ZfPn9OmWSNatG7H0FFjSZdeU2RH+wLwkiVLaNOmDatXr0apVGJhYSG9MHzgwAHy58//8wxJhMQE5EFjV9UatejdfxDwtWhFqlSpUKlUREZGSvddvHjxv2/0D5BY0Sc52GhIQP782TMc3LeHP3dsAzRFHrU2agkPDycmJoa0adPy6dMnnJ2dWb169U9p+/eQUNEnbcG88PBwUqZMKRWmiFsIunr16ty4cYMvX74Axl+8wpCAPECuPHlo26GTVMR0165dTJ06ld9//50TJ07w119/ERwczIkTJwBNnw8ePJh8+RIWqEgOEhOQB3nYaUhAPigwED+/j/h99I33WaFChTh48CCNGzcmTRqN8KqTk1O84qzGgj4BeYCUqVJRo3Zd2rTvhFKpRKFQMHPmTI4ePcqRI0fYtm0b3bt3Z9OmTcTExFC/fn2WLl3KsGHDyJs3YaHS5EKfgDzIx05DAvJymk8SE5AHCA4KJCAgQCqUGBYWBsD27dvJmzcvM2bMkArqffv3YCwYEpAHTWxjY2PDL8NH8eeOrWzZsgUAS0tLwsPDyZAhA+7u7hw+fBgvLy+puGBc8YnkJikC8qCxKXOWrNKfK1SowJEjR+jQoQPFihWjdu3apE6dGl/f+D7ZGEiKgDyYvp36BORBU7RUoVCQv2BBnTivWLFiPHv2jNDQUGmMKhQKMmXKhJubG7dv3za6wkz6BORBPnbqE5APDw/XiFD+36fGjctNLf4BwwLyoHkmJ02fxfTZ8wCkYoENGzbk/v37nD59+mc19R9hSEAedNdeGTJoxEd9fHxo3bo1R48excXFhUyZMjF8+HCCgoLw9PT8z9v8vegTkJfbmDUkIP+9+a6YmBgKFSrEhAkTKF++/E+1IzH0Cchr+zP4/6JZMTExREdHkyVLFhwdHbGxsaFv377cu3ePNWvWcP36ddq2bUtwcHBymGGQxATktbH7zt+3S9e0MWv58uWZMmUKadOm1REvqlatmo7whzGQmIA8yCN3oE9AXm4+yJCAvFzGrCEB+S9xCrJrC16PmTiZJUuWEBoair29Pbdu3aJy5cpER0cTEBAg9aexCd4ZEpB/cO8ujWpXo2PX7rhUrorb4gVER0frFJNVq9Wo1WpiY2NJly4dixcvZuHChVy7ds2ociSGBOTlkiNJTEAevj93YIw5kqQKyGv38sqWq8Dz588BTQwUGBjI8+fP6dWrF0qlEqVSaZR2GhKQl4ufBcMC8gn52hkzZpicr9UnIK/tn+joaNLY2tKoaXNAV8wlOjqakJAQQPN34OrqyujRo39e47+DxATkQR57uIYE5AFUFioslBa8e/sW0PShUqlk4MCBtGrViqtXr3Ly5EkAo91X0CcgL7d4Vp+AvM97bwb16UH7Tl1YuW4jK9dtxG31Oj75+3PmzBnpPmdnZ1asWMHKlSuZNGkS165d49SpUxQvXvxnm2IQfQLycorz9AnIG+rLhPJ4p0+fpnv37qxevZoDBw4Y1ToTDAvIy2l9YkhAXhvfWVhYUL1WnUTnE4BLly4BxmenPgF5OdloSEBeTmcr9AnIy80H6ROQl9O5y6QIyANky5GDmzeu4fPeG0tLS+mcW9euXRkzZgzTpk3j2bNn0v2jR4+mcOHC/2nbvwdDAvJyig8MCciDPOJ2MCwgL5d8V1IE5ME4zlZER0cTGhoq+TnQnE3y8vKKJ8R0584dzp8/T2xoIABFMtsyr3lhPr5/g/e7t9J94eHhoFYTHhZOdFSUtA6zsramRIkSrF27VmfOrFixIhkyZCBjxq/5QRsbG8qUKUOxYsV02pA2bVocHBx+qliYIQF5ueSBDAnIyyluNyQg/8WAoK1CoSA2NpacOXPSvHlzjh49SnBwsNGeAdcnIP/q5UvcFi1g+qTxrF3lDiDtucftK5VKJfmESZMm4erqSqZM+s9YJxcJCcjLLT+SmIA8yCM+SExAHuRxjtbQu0Ry8UH6BOTltq9gSED+e9eb32JMc6e+d4nktAZLioA8gK2tLaGhIVw8dxY7Ozt+/fVXevfuzdSpU3F1dWXfvn3cvXv3J7X6+3FIbcWvnUuTPYF3ibTI4dyTIT7LxM8mhvbsd+HChU367Lch7t27R7ly5di8eTN79uyhYcOGjBw5klOnTgFf1yygOSOtVqvZuHEjYFw+NqkEBgby5csXk46BEqNz584sXbqURYsWUb16ddKmTcu2bdvw8PDg3LlzjBgxgr59+/LixQuT7MNvuXfvHlWqVCE0NJR3795J1y0sLPD29qZcuXI0atSIGTNmSJ+VKFGCEydOsGbNmuRo8n9KxowZef36NStWrMDGxoaaNWsCsGzZMq5evZrMrUs+KleuDGjiaEtLS+m/P378KN0zY8YMli1bJgmMmzq+vr7cvHmT69evExQURIYMGRg7dizZsmVj48aNjB8/noEDB7J8+XJAE4u8fv3aZH2fIZRKJalSpWLixIns3r2befO+vgMUGxtLhgwZGDVqFCdOnODNmzfJ3FqBQCAQCAQCgUAgEAgEAoFAIBAIBAKBQCAQCAQCgUAgEAgEAoFAIBAIBAKBQCAQCASmgv4K7AIJQwLyAMeOHKR8RRcmz5hNTEwMWzdu4PGjh5Qv7UTlypVZsmRJvO9oCwYYE4YE5D998sffz4+AL58pU64CDg4ZpCIc2iIdX758ITg4WLJt0qRJzJkzBx8fHzJkyKBTiCY50Vf0SZ+NWuFfU7LRkID8nOlTOLhvD5ZWVrx+9ZLDB/aycfvOeG0PDw8nTZo0+Pv7U61aNYoUKcKhQ4cA3SJRyUlCRZ+8nj5h5bIl+Pi8J1OmzAwcOpx8+b8WjdS+jD5q1CjWrl3LvHnzWLp0qVG/oK+v6JO2oJO27RkdvxYGrFChAjdv3qRUqVKARvQla9as3Lp166e1+3swJCAvJzsNCcg/8nzIuBFDCAoK4sXzZyxYupxWbTtIYzZbtq/Cstrn79WrVxQuXJiYmBgsLCyM4rkEwwLyarUaCwsL2nXsLLX31o3rrF+/nj179lC/fn0sLS3p0KEDmzZtom/fvpK4qrFhSEBeLnYaEpCX03ySFAF5gAoulVEoFCxZMBfXhUtJkSIFkZGRWFlZsWfPHnLnzs2iRYuYM2eOUdj1LfoE5LUxUGDAF0qX1Qi+lqtQkc7dezJ16lRUKhUdOnSQij5bWVmRNm1a0qRJI41bY7HXkID8y+fPObBvNy+ePaNcRReq1ahJ5ixZpXmmYsWK0r3aa9myZaNAgQLSNWOx05CAvJzsNCQgr1arsba2Zs6CJVJxT+36xNramhQpUpAy5df51tfXl4wZM9K/f3+ji/sMCcjLxU59AvJPHj9i0dzZfPB5T1RUFFNnuVKugguxsbEoFAqTin8gcQF5LenSp9d51tRqNWXKlKFv374sXbqUBg0akDVrVoO/kZwYEpDft3sXT5885svnT7Rp34mSTs7SmM2cOTN9+/ZFoVBI9r99+5ZixYoZXZFzfQLychuzhgTk4fvzXdq4YOrUqVKhPGNAn4C8vv4EyJonDylSpCBnzpxERERw+PBhnJ2dyZ07N927d9cRXDAGEhOQ/zZ2P7R/jxS7a3Nf2v5TKpX4+vqyadMm6tSpY1R9aUhAXk65A30C8oZ8kDam02IKPsiQgLxcxqwhAfk506dwwuMoazdtkwp/Azg4ZGDQoEH0798f+Opb379/z+vXr2nWrNlPafv3YEhA/v7dOzRvWId+g4YwbvI0Zk6ZiMeRQwQGBpDVLrUUE2jz7Q4ODgwaNAg/Pz/Onj1L6dKlf7Y5ejEkIC+XHIkhAfl/kjtIbru+xZCAfHi4RkzL2sYGS0tLaWwWLFyYfbt+B6B79+58+fKFZs2acevWLWbNmsXYsWOxtTUsRPazMSQgLxc/C4YF5PX52gwZTMvX6hOQf+b1lO2bN/Lq5QvyFyhImw6dyJM3Xzx/YmdnJ43PiRMnsnDhQq5cufJTbUgKhgTk5bSHm5iAPGhERTNnycLG9Wuo26ARKtt0REdHo1KpGDlyJIcPH2b9+vW0bNnyJ7X6+9AnIC+3NbU+Afnw8HBu3biOjY0NPfr0AzS+tGDBwkRFRekIEKRMmZIBAwbQunVrYmJiSJkypdHNJ/oE5OUU5+kTkE+sL729vXXuDwkJISwsDIVCwenTpylSpMhPsyEpGBKQl9P6xJCAvNfTJ/y+dTMdu3YnT9582Nl99VOmNp/oE5CXk42GBOTldLZCn4C83HyQPgF5kM+5y6QKyAN06NyNwwf20bNzezyOHsHe3p7w8HBsbGzo168f7u7uXLp0yajE/LQYEpCXU3yQmIA8mH7cDoYF5OWS7zIkIP+zzlaEh4cTERFBihQpsLLSnHMNCQnh1atXqFQq6fcA7t+/z5cvXyhSpIgk4h4dHc3bt2+xtrYmd+6v87/2WVLHRlMksy3LOzhhpYwl2NERKyvNOkW7Dnvv/U5ah2XOkpXY2FisrKyoU6eO9HtaW3x8fChevDhKpdIo+jAuhgTk5ZIHMiQgL6e43ZCAvD4746IV8GrWrBk9evTA09OTsmXL/tfN/m70Cch7PrhP+5ZNKF7SiZCQYLZsXM/zZ164Llwq9Z829xUUFETOnDlxc3Nj4cKFXL9+HWdn5+QwRy8JCcjLLT+SFAF5MP34ICkC8qB7jnbDml9N7hytIQF5ufggfQLycttXMCQgDz+23jRG9L1LJKc1WGIC8nHHaNHiJahSvSYDenXDzs6O6dOnS/e1bNmSpUuXcuzYMRo1avRT2v49GBKQl9O5J0NMmDCBQ4cOsXPnTp21UFxMwc8mhvbst7u7O+njnP1WKpUmdfbbECEhIQwfPpwuXbowd+5crK2t2blzJ5s2bWLy5MlMnjyZevXqoVAoiI6OJl26dPTr149ff/2VwMBAozxLkhhVq1ZFoVAwa9Ys3N3dTS4GMkRcHzRkyBCUSiXbtm1j6tSpOufZf/nlFzZs2MDly5d1chSmyMePH2nXrh0dO3Zk6dKl0vXg4GBSp05NWFgYAwcOZNKkSfH6s1ixYj+5tf8t2nm2QIECHD9+nHz58rF//37at29PmjRpSJkyJffu3UvuZv4U3r9/z5kzZzh+/Dg2NjYULFiQIUOGALrvzKnVaun9iClTpjBr1iyuX78u5f5Mmbt379K2bVusrKyIjIwkPDyc1atXU69ePdzd3YmIiODz589kz645qxUbG4uvry/Ozs4m5/v0sW7dOt68ecOrV69o164dTk6a9cPSpUsZMmQIFhYWjBs3TpqzIyMjKViwoFG9VyAQCAQCgUAgEAgEAoFAIBAIBAKBQCAQCAQCgUAgEAgEAoFAIBAIBAKBQCAQCAQCgcC4MY3KAslIYgLyAHdv38Ihg6ZgX6vG9dj5+zbu3LqJm5sbnTt35sCBAz+ruT+MIQF5z4cP6NiqGT06tqV7x3Z0aNkUQCoSqEWhUKBQKEidOjVz5sxh2bJlXL16lYwZMxrNC8D6ij7JyUZDAvLLlyxkx9bNuK/dwM59hzj891kunDvLxnVr4t1rZ2fHx48fKVKkCI6OjlJxT20h/+QmoaJPng/u07h2dZRKJZkzZ+Htm9f8unwZ0dHRUj9qC2OnSpWK/v37c/r0aV68eJFcZiSKvqJPz7yeMnXCGLq2b83cmdN4/MhT5/Ns2bJJRYLUajURERFYW1tToUKFn9X070KfgLyc7ExMQL55/dqUci7DuMnT6NN/EKOH/YK/v58kshmX8PBwJk+ezJ49exgxYgQqlcoonkvQLyAfFhZGWFgYUVFRgG7xjFy583Du3DmaNGkiXatSpQoxMTHS/caGPgF5OdlpSEBeTvOJIQH5sLAwQkNDpeIuadOlY9L0WRzavw+3RQsApMIoFhYWVKxYkY8fP/7U9icVfQLycWOgbh3a0r6FZnxmyOhI5249qVOnDsOHD8fNzY3Q0FCCgoI4f/48NjY2RlmcX5+AvOeD+zSuW4O7t2/x4P5dNq5bzfIlCwkNDZXiu7hoC3xdv35dKiRoDOMVDAvIy8lOfQLy3/rZdN8U1wONDTExMdJ3xowZQ+/evQkPDze64nr6BOTlZKc+AflHng9pVq8W9g4OVK5Wg9x58tKxdXOeeT2VRODiYszxDxgWkH/75jU7tm7mV/dlnD11EkAnxtPaUb16dT5//syTJ08ApPnHmDAkID9zykRmT5vMzevXuHXjOk3q1uDOrZs641Frq0Kh4MOHD0yYMIFSpUqRI0fCAhXJgT4BebmN2cQE5OHH813GJCyqT0DeUH8CREREkCNHDrJlyyYJyIPmOfX09NQpjGkMGBKQTyx2j/uMfvz4EQ8PD+rVq4ejoyNz5swBiLcmTQ4MCcjLKXegT0Bebj7IkIC8XMasIQH5rRs3sGPrZvz9PtK3e2dePHsW7x4LCwssLCz49OkTx48fp379+uTMmZM+ffr8hNYnHUMC8r4ffKhTtSI9evdj3ORpAAwcOpyPvr6s+3UloLv+iI2NJTAwkLdv33L16lXKlCnzU2xICoYE5OWUI9EnIC+n3IEhAfnHjzwZ1KcHTevXYmDv7pzwOCp9li69HUFBQTRu3Jjjx49z6tQptm/fTrFixbh06RKRkZE/04xEMSQgLxc/C4YF5OXia/UJyHs+fECTOjX4+NGX8PBwrl6+xJTxY/j0yT+eP4mJicHGxobp06ezePFiLl68KMVGxoIhAXk57eHqE5DX5oG0vsTCwoKlK9bw2NOTYQP7ArpCqU2aNCEoKIjo6Oif0/DvJCEBebnFs/oE5L3fvaV+jcqkt7Oj/+ChZMuuyXdERUWRKnVq7B0ciIiIiPd7GTJkIFOmTEYnkKZPQF5OcR4kLCD/I32ZKlUqateuzapVq4xOvNmQgLxc5kzQLyCvVqsJCwtjcN+erFi2mF/d3Xj39o3O51pMYT5JSEBebjYmJiAvl7MV+gTk5eaDDAnIgzzOXQJ6BeTj7hGdOfk3oBFK7T94KEqlknbt2vH582dsbDR7v7GxsaROnVpHSMxYMCQgL6f4QJ+AvNzidkMC8nLJdxkSkP+nZyuCgoLw8/PT8cfBwcHcvn2bBw8e6Hz30aNH3Lp1iy9fvkjXtOJK/v7+OvdaWlpiYWGhs09sbW1Njhw5JGEmLQULFqRq1aqUKJCH5R2cSG2jwsrKivwFCpIzVy6ddVjVGrXImy8/ndu2NNl1mCEBeTnFtPoE5OVkoyEB+aTYCV/j244dO1KgQAGOHDnyn7b5R9AnIP/2zWt6d+1I63Yd2frnbrbv2sfi5as4e+qkzh6nNk+bOnVq5s+fz+TJkzl37pxJCMjLLT9iSEBeTvGBIQF5Q+doXV1dAdM5R2tIQF4uPkifgLzc9hUSE5AHeaw39b1LJKc1GOgXkP/0SRMva3M+Wj80fPQ46jVsREBAALdv39bJB9na2pI3b8LnG5MTQwLycjr3ZIi1a9eyYcMGPn78SNu2bfHy8krwPmP3s4b49uz3twLyYDpnv5PCu3fvKFCgANbWmv2yNm3aMGrUKBwcHFi8eDE3b94EvsZDDRo04OTJk9ja2hrVelMf38ZA6dKlY968efz1118mFwPpQ5uX0OZCtLYOHjyYX3/9Vco1a5/LoKAgMmXKRM6c8d+lMzXev3+PnZ0d8+bNIzY2li5dulCzZk3y58/PzJkzUalUTJ06FQuL+PGx3ND2e7ly5fD29iYsLIycOXOSMWNGoqOjSZkyJSlSpNC5V448ePCAZs2asWrVKh4/fszJkyeZOHEiFSpUwNfXF4VCIa1lLSwsyJkzJ/Pnz2f+/Plcv37d6NbrP8Lr169p3Lgxbdu2Zf/+/ezevRtnZ2c6derEihUrCAoKInXq1FKe0tPTkylTpnDs2DF69eqVzK3/dxg7diwTJkwgNDQULy8vRo4cSf/+/Xnz5g2DBg1i6dKlTJ06le7du7N27VpOnDjBpEmTKFy4sDTvCwQCgUAgEAgEAoFAIBAIBAKBQCAQCAQCgUAgEAgEAoFAIBAIBAKBQCAQCAQCgUAgECSGaVUXSAYSE5AHKFq8BAFfPrNu9UqsrW1Ys3Er+4+dZP369RQuXJhff/01XrE/Y0OfgLzX0ye0btKAqtVrsmzVGtxXr+f5My/mTJ8CfC0so1QqSZs2LZkyZaJv375Mnz6dU6dOGV1xmYSKPsnNRn0C8p4PH3Dk4H5cFy7BuXRZMjpmIn+BglSsVEWneLSWyMhIfH19qV69On//rSliG7dwSXLzbdGnVy9e0L1jW7r37stCtxUsWr4Sp9KavlGpVISHhwO6Nri4uODj42OUhXe1JFT0yfPhA5rVr817b28cHTOxZeMGFs+bo1NIJi4KhYLZs2dz7tw5OnTo8DOa/d0kJCAvNzv1Ccj7vPdm6IA+dOzanWmz51KnXgNatm1PpSrVCA0J4dXLlzpFNs6dO0ePHj3YsGEDx44do1ChQj/TjERJSED+yeNH9O3emRYN61DTpawkwKQtJJPezk4qIKEVnLx79y5FihQxOqEpLQkJyMvNTn0C8nKbT/QJyD95/Ig+3TrRqnE9qlUozYN7dwGoVqMmHbt0Y9vm35g+fTqgKf4EmkKn2uLuxiKmpSUhAfmEYqAXz58xe9pkAAoXLcbo0aP55ZdfGDNmDMWKFaNy5cqsXbuWjRs3Ym9vH+83k5uEBOTfvX1D3x5d6NilG2s3bePY6Qu0bNOO03+fICQkON79Fy5cYMiQIaxYsYK9e/eSJ0/CRUOTC30C8nKzMyEBeUN+Nq5PsbS0JDQ0FICJEyfi5ubGxIkTpefTmEhIQF5udiYkIP/xoy+jhw6ifeeuzFmwhFHjJjJ5xmzy5S/A5QvnAV0/auzxD6BXQN7zwX2aN6zDji0b2b5lE53aNOfPHdsA4hVBbN68OUWKFGHixIkARjNXxkWfgPz6NavY+9efrNm4VSp0Xqd+QzauW0NMTIxOPPv582e2bdtG/fr1yZo1KytXagrXGsvcmZCAvBzHbGIC8iCPfFdCAvIfP/oyZthgg/1pbW3NrFmz+P333+MV9tMWQzQm9AnIf0/srlar8fT0ZO7cuTg5OXHw4EHAOIReAL0C8nLLHSQkIC9HH6RPQF5OY1afgLzPe2/u3r5F1569OeBxGktLS7p3aqtXhCAsLIyDBw9So0YNqYi9MRVj1ScgD5DRMRM7/trPxGkzAYiOjsbOzp62HTtx4exp3r9/L92rjXUXL17M06dPKVas2E9pf1LRJyAvtxxJQgLycssd6BOQ93z4gOb1a2PvkIGOXbrh896bP7ZtkeaTfPkLkDFjRh49esSBAwcoWFCTZ1m7di07duzAwSG+sFNyok9AXk5+FtArIC8nX5uQgPx773cM6tODjl2747ZqLVv/3E3Pvv15+fwZH3x84v1GeHg4GzduZMGCBZw/f57SpUv/rOYnGX0C8nLbw01IQF5fHihXnjysWLOB03+foGXLlrx580YSl7pz5w7p0qUzmnX0t3wrIC/HeDYhAXnQjMWI8HB+W7uahk2aARrBJe2ekLWNDYGBgdL969at482b+DGDsZCQgDzIK84D4gnIw4/3paWlpdHlZwG9AvJymjOBBAXkQTNfpEiRgmo1atGuUxd27tjKrKmTeP3qlfQ5mM588q2APMjPRn0C8nI7W5GQgDzIzwcZEpAHeeShgQQF5L/dI+rctgW/b9uCQqGgVp169B34C6GhoTg7O3PkyBFOnDjB/Pnz8fX1Ncq4XZ+APMgrPkhIQF6Ocbs+AXk55bv0Cchrz1Z06NxV52zF3x7HeP7Mi7CwMOnewMBA1q5dS4cOHXTOVjx79owHDx7oCMOr1Wq+fPmi46NBs6/07d6SjY0N+fLliyduWaRIEapUqUKmTF/PUlpZWZEnTx6yZdM9W6BSqVAqlZKAfFzkuA7TJyAvt5g2IQF5udmoT0D+e+yMm59csWIFU6ZM+U/b/CMkJCCvVqs5evggmbNkZfCwkYDGRxQtXoIvX74keL4rR44cpE+fngsXLlC2bNmf0vbv4VsBeZBffkSfgLzc4gN9AvKJnaNdt26dSZ2j1ScgLycflJCAvBz3FRITkAd5rDcTepcI5LUGAxIUkH/8yJPi+XIyftQwQPfZy5svP7+MGE2NGjXo3r07CxYsYOPGjYwfP56rV6/SoEGDn9X0JKNPQF5u55704e3tzY0bN+jfvz8XL17EysqK5s2bJygkb+x+Vh+enp60bduWatWqUaJECQ4fPgyY7tlvQ6jVaqKjo3FwcMDX1xdAGrPVq1dnwIABfPz4UVqPaD8rXLhwvLWtseLp6UmbNm2oUaMGxYoV486dOwDUqVOHXr16mVwMlBAPHz7E0dGRwYMHA/GF5EuWLCnZo30ut27dirW1Nfnyxd/3NjW+fPnChw8fCAgIoGHDhvj5+dGxY0f69+/P1q1bmTlzplGvU/4J/v7+eHl5ce3aNUAjiB4ZGUlsbCyRkZH4+fkxaNAgrl27xrZt28icOTP58+fn8+fPRpHz+y+4c+cOLi4uVKtWjQ0bNnD+/HmuXbuGu7s779+/p169eoSFhWFtrTkjoFKp+PPPP5k7dy7nz5+XhYA8wI0bNyhcuDDjx48nV65cFClShDZt2hAQEMD48eOluS0mJoagoCC2bNnC1q1bOXXqFIULF07m1v9zPDw82LdvH8ePH5fWQk2aNGH//v20bt2a58+f88svv+Dh4cGzZ8+YPXs2Y8aMwdnZmc2bNwOm4f8FAoFAIBAIBAKBQCAQCAQCgUAgEAgEAoFAIBAIBAKBQCAQCAQCgUAgEAgEAoFAIBAkP/J8a/dfxJCAvPaFzixZs3H18kX+PnaUvPnz45hJI9xUpkwZ2rVrx7lz5/BJoLiOMZFQ0aeQ4GDmz55Bk+YtmTB1BqXLlqdqjZrUrlefJ489493v7+/P3bt3OX36NNeuXTO6IsMJIUcbExKQB3DMlImMjo5kzfZVVEOlUpErd26ePX0CIBUpA3B2dmbXrl388ccfgPEU99QSt+jT50+fePjgHmXLV6D3gEHSsxkeHsadWzdpXKc6HVs349KF8yiVSmJiYlCr1dSsWZPHjx/j6Bi/6JCx8G3RJ98PPgzs3Z3W7TqwdtM2Fi1fya4DRzhycD8Xz52N9/2dO3cycOBAVq1axb59+8ifP//Pavo/Qo52JiQgD+D38SMlSznTrWcf6dq+3bs4f+YUXdq1olblcgwaNIhXr14RGxtLmjRpKFasGCdPnsTJyelnNT/JfFtI+fEjT5rXr02OnDnp0r0XpUqXYUCvbrx6+TJBsaGoqCgmTZrEnj17mDBhglRQx9iRo50JCciD/OaThATkPR8+oGndmmTLnoPO3XqSI2cu+vXoQnR0NJkyZ6Fj1x506NyNRYsW0aBBA8aMGUPv3r3x8PBg4MCBQHxhYGPDUAz09Mkj6b58+fIxceJEbt++zaRJk5g0aRJXrlwxSv+jj5PHPciXPz/devWRilp17t6LyKhInjx6pHNvaGgoV65c4ePHj5w5c4ZSpUolQ4sNk5CAPMjPzn8yn8TExODo6MiECRNYuHAhFy9epHz58j+z+T+MHO38VkAe4N2bN8TExNC4WXPpmmOmzNg7ZIi3DouJicHW1paiRYsabfwDJCgg/+rlS7q2b03zlm34c99h9hz2YNjocaxbtYKPvh90ikRpiyS2bdtWKsBmKnz0/cDJ4x707DuAUs6lNUJE6dJRsHARvJ4+xsLCQmfu1xYErVKlik7RemOZO78VkAd5jllDAvJyynclVEj5zWvN2qpJ8xbStW/7U1Nc2Y7s2RMWJjUVvid2VygUVKlSBXd3dzZs2AAYV+yekIC8HHMH3wrIgzx9kD7kNGYTEpAHsHfIQI3adWjctDk5cuZk26692NjYJChCoFaryZo1K5MnT8bd3R0wLhsBvQLy2n6qXqu2dE2lUqFQKKjfqCm3b97g8uXLgMZObRxQtWrVeMJJxoC+MEVuOZJvkWPuICEB+ffe7+jZqR2duvVg/hI3evcfxKChI4iMjOSTv59UwH316tUcO3ZMKvyrjeGNcX8hIQF5kJefNYScfO23AvIAt25cxzFTZjp27S7lgBo1bY5CocDzwb149+fKlYuCBQty9epVoxR6ARIUkJfjHu63JJQH6t+zK69evgSgWs1abPnzL27cuEGjRo2oVasWbdq0YdeuXcyaNUsS3jJ25BjPJiQgr1aryeiYiW69+vD0yWNOHj8GaIrua5/V6KgoLCw05zKmTp1K3759pXnGGElIQF5ucV5CyLEvExKQB3nNmUCCAvLwVTAzNDSEkqWcOXr6AocP7GOB60xCQ0NZuHAhr/4vtm6K8wkkbuNKtyUmZWNCAvIgv7MVCQnIy9EH6VtTyykPnRD69og2rF6Fz3tvLCwsaNK8JatWraJSpUp07dqVgQMHsn//fo4cOULOnDmT24R46BOQl1t8kJR9ajnG7VpMOd8VGxtLVFSU9OciWWz56PuBVy9fEhISIl0/tH8fdvZ2lKtQUedsRVh4GBfOniE46KuwcVhYGLdu3cLPz0/nbEWaNGlImzYtKtXX9WyKFCkoUqRIPMGkggULUr58eTJmzChds7S0JFu2bDrX4MfOGn0rIA/yXIfpQ24xbULIzcaEBOTh++yMS9WqVYGvMbGx8K2APGie8TJly1Orbj3S22nOJcTExJA3X37SpUtHUEBgvO+0bt2ae/fuGaXgb0LIMZ5N6F0iOcYHCb1LlJRztD179jTpc7Ra5OSDvhWQB3nuKxgSkJfTejOhc09yW4MlhM97b4YN7EuxEiX5c8c2Jo4ZASC9CwbgXLosv//+O4MGDWLr1q3SGVoPDw8KFCiQnM1PkIQE5OV47kkfGTJkoH79+rRq1YpcuXJx+PBhUqRIoVdIXosx+tmEePjwIVWqVCF37tz07duXcuXK0aFDB168eGGyZ78NoVAoSJs2LdWqVWPp0qXcuXMHCwsL6fmsV68erVu3ZuXKlYSEhEixn6lw//59KlWqRM6cOenTpw+5c+emXbt2REdHkyVLFnr37m3yMZC3tzc9evTAycmJTZs2MWTIEOCrkPy3XLhwgSFDhrBq1SrWr18fL59hiqRNm5aQkBBOnz6NnZ0dv/76K71792bq1Km4urqyb98+7t69m9zN/Ne5f/8+DRo0oEWLFtSoUUPqeysrKxwcHChXrhwuLi7s3buXI0eO0LJlS9auXUuRIkX49OlTMrf+v+HBgwdUqFCB8ePHs2DBAileSp06NR06dGDZsmV4e3vTrVs36TtZsmQB4Ny5c0a5z/ajeHl5cf36dZ01a6ZMmRg8eDAtWrRgyJAhfPz4EQsLC9KkScPIkSO5ePGiUb6P9iP4+vqSOnVqcuTIQWRkJADt2rXD2dmZlClTMnLkSPz8/KhRowZHjhzhxo0b7Nu3jy1btgDG9T6MQCAQCAQCgUAgEAgEAoFAIBAIBAKBQCAQCAQCgUAgEAgEAoFAIBAIBAKBQCAQCAQC48Z4qoKZCAFfvuDz3ptnXk+lFzqbt2pDg8ZNOX3yBA8f3Oej7wfpficnJ/Lly6cjDmcqqNVqUqZKRbHiJaRrSqWS8hUr8erlSyIjI6Wii2q1GgcHB+bMmcOdO3coUaKEvp81KszBRoDIyEjs7OxZtX4zTqXLEBMTIxXnsLKyRvn/ghwqlYqQkBBevXqFjY0NLVu2BIyviGBc/P39qOFSBmsbG0aMnYCDQwYUCgXuSxexcd0aWrVrT8u27cmZKzcdWzXF6+kTLCwspOc3bdqERZKNkcCAAC5dOE/OXLno0bsfoOnb/AUKUrR4CUJCguN9R6VS8eXLF86ePWsyBT7NxU4txUqUZNjoseTMnRuAnb9vZ/niBSx0W8GmHbtY/dsWNm3axMmTJ1EqlZQqVYpx48ZRsGDBZG554vj7+zFh1HBatm3H7PmL6dStB+6r15Mnbz52bNkIoDM/Hjx4kNatW7N582aOHj0ar6iusWIudoK85xMtb9+8ZmDv7nTq1oO5i5bSqVsP+g4YTOGixQgJDiY8PJwcOXPyy4hRnDhxAqVSyb179wgICODSpUsm059JiYG0RU9iY2MpVKgQPXv2pE2bNuTKlSuZWv19vHmtEcMoXLQolavVIGu27CiVStRqNbExMURFRhIUGKDznZQpU9KnTx/WrFljMsV3zcHO7/WzUVFRXL9+nTVr1nDx4kVJ4M/YMQc7/fw+cvvmDUJDQ5nhOp/SZTWFD7VrLltbW8lGbbxuYWFBiRIlGD9+vEnEP1rUajW/b9tMkWLFGTluIjY2NtjbO1CmbHl8fN7HKxKlLZLYsmVL9u3bh4ODQ3I1/bsIDgoiJiaGDp274lS6LPB1nBYpWoyw0DBAV0yiUKFCTJo0CTc3N8C44wNzGrPmlO8qUdKJwcNG4lymHJBwf8YV/TBVvjd2f/nyJQqFgiJFigCaZ9lYn00wj9yBOfkgkP+YBU3fWVpa0qBxUwoXLUZ0dDT29g5s/2tfPBGCly9f8ueffxIVFSXFBaZiIxj2oy6Vq9CkRSsWLlzIp0+fTLZwpjnkSMwhdxAYEMCD+/do2KQZvfoNkK5fu3KZB/fvUr9GZbq1b82c6VPImTOnjrCCqRU6Nwc/C0nztVohAlP1tY6ZMtGsZWvy5M0niWVER0djoVJJa7C4NG7cmL///lvqS1NB7nu4+vJAefPll/JACoWCsuUr8vDhQzp27Ejx4sXJmzcv165dMwkbzSWe/fz/YvkKhQKlUknHLt2xUFrw29rV0j1am6Ojo7Gzs2Pp0qUsWLCA69evm4yd5hDnmUtfajGH9YkW7VisWbse9+7cpmChwuw9coL9u3dRrbwzS5culUSI7O3tTWo+0ZKYjWtXuZu8jSDvsxXm4oPMJQ+d2B6R1naFQkHJkiXZunUr586d4/Tp05w6dcok9vzAPOIDc4jb42Js+S61Wk1ERARhYbpr3Xfv3vH48WOCgoKka58/f+bs2bPcvn1b517fDx94++Y1oSHB0tmKQkWKUKxEKdKlT69ztiI2JgaVygJLy6+CpA4ODowbN44tW7bonK3ImzcvTk5O2NvbS9dUKhUZM2YkXbp0/9rfwfdiLuswLeaQBzKXuP1H7Ix7BgEwajvfe79j987f2b55I+nt7BnwyzBA4ze1eWYLlYrQ0BDpO/v27SMyMpLChQtL4nTGjLnEs2A+8UFSz9GOGzfOpM/Rwo/NJ6bkg8A89hXMYb1pDmswLRfPnyVrtuzMmreQxctXsX3zRklIPq5Qdfr06Zk/fz4eHh5cvnyZAwcOmIyIqTmce9Ki9bPNmzenePHiREdH4+DgwJEjR+IJyZuin/Xz82Pw4MF06tQJNzc3evfuzebNmylQoADr168HTP/sN8CXL1/w9vbmyZMn0rVZs2ZRsWJFmjRpgpeXl84ZCmdnZzJnzhyvL42d169f07FjR/r06cOKFSvo3bs3w4YNo0SJEgT/PwbKlSuXycdAp0+fJkeOHCxbtoz169ezbt06HSF57X4CaPIwp06d4sKFC5w5c8Zk/GxCxH0WS5YsSe3atenQoQPHjx+Xzj+B5ix/4cKFOXbsWHI08z/j4cOHVKlShVq1arFy5UpWrlzJ5s2befz4sXRPtmzZcHR05NChQ5QsWRKAokWLcvToUZ0zU3IhLCyMadOmERERwdixY4GvMReAlZUVdevWpX379ly6dIn3798DmjHi7+9P0aJFk6Xd/yZeXl6S7Y0bNyZXrlyMHTuW169fc/PmTZo2bUr69OlZs2YNOXLk4NChQ4DmebK3tzeJnEVSCQgIwN/fn8jISKysNDni3bt3kz59elq0aMHt27d5+vQpAGnSpMHe3p7s2bMDppODEwgEAoFAIBAIBAKBQCAQCAQCgUAgEAgEAoFAIBAIBAKBQCAQCAQCgUAgEAgEAoFAYByItxK/g0eeD+nUpjntWzaleoXSzJ42mdDQUACmz5lPl+69uHLxAmtWuuP58AGhoaEsX76c0NBQHB0dk7n130/qNGkYOXYCnbv3BIhXIMfKygpLS0tA88K0tbU1I0eOpFChQj+9rT+K3G3cs+sPpk4cS7P6tRg+qD+/b90MaArnaAs6qNVqqVDH58+fKVSoEJs3b9b5HWN+gTk4KBgLlYoMGTKSJ28+AMLDw3ny+BGbf/+L/oOH0rNPf4aNHItt2rTcu3MrmVv8Yzx98pj+vbqRPr0dzqXLSUWxraysUKlUqFQq3nt7x/teixYtWLdunckUIjEXO0NDQ/H39+P8mdO8935HmjS2gKbwk62tLfuPnaRV2w7kzJWLWnXqUbZsWc6dOyd93xQEisLCwvB++5aQkGBate0AIBXsypU7D1++fAHQKU7m4uKCs7MzJ06cMJnCVuZipznMJ1oePrhPiVJO9Bv0i3Tt3JlTXDh7hmYNalO5bEl+dV9GcFAQ5cqV49ChQxw5coRt27ZRvHjxZGz595GUGEhb9OTbgtymQEREBP16dKFS6RKUKVeBXn01QnBqtRqFQkHqNGlwdMyMpdXX4t9bt27l2bNnpEmThjRp0iRX078Lc7DzR/xsmTJlKFeuHCdPnqR06dI/vc0/gjnY+fiRJz07tWPe7Bms/3WFJDgeGxsrrblSpkxFaEio9J2ZM2dy4MABFAqFScQ/Wp55PeXi+XOULlsO59JlSZEihfSZc5myWFqq+OTvH+97sbGx2NvbkzVr1p/Z3B9m3a8rGPHLAFo3aUChIkVxqVwF+DpOU6RMSWRUJBEREVIB05MnT2JhYYGdnR1g3AWzzGnMmkO+S7sGu3DuLB99P1CpSjVAU6Be21cJ9efBgweTpb3/hB+N3bdu3arzO8ZcSNoccgfm5IPMYcxqbWxarybDB/WXBDNUKtX/538Htu3ai42NDb26duDo0aO4uLhw7tw5qb/BuG0EzbM5ZfxoHj/yTPTeqtVr8ubNG168ePETWvbvYk45ErnnDp4+eUy/Hl3Ilj0H7Tt3JXMWTRy+aN4c1qxcztARY5i72I0KlSpz7Mghk4wLwDz8LHyfr23VqpXJ+lqA0mXL075TF+Cr0JRKpcIujnAdgLu7O/fv3ydDhgwmWbRZznu4Sc0Daa+nSpWKcePG4e7ujqurq0nYaC7x7KsXL3BxLk7X9q3x/eBDSEgItmnTsmj5Si5fPM/yJQsBsLa2BsDO3oGhQ4cyceJEzp49azLCIOYQ55lLX4L5rE/iom2rpaUlVy9fJCwsDKfSZahUtTrv3r6hRIkSUg7XxsbGZOaTuCRmY+GixU3WRnM4W2EuPsgc8tDw/XtE2ji3YMGCZMmSRUeQ2pgxh/jAHOJ2LT8z3xUTE0NQUBCBgYE611++fMm9e/d0rn/58oVLly5x//59nXv9/Px4//695EMAKU75VpwuvZ0dmbNkQaFUSmcrKletzoQpMyjlXEbnbEWWLNnIlScv6dKnBzRnK16+fEmOHDnIlClTorYlN+ayDgPzyAOZS9z+o3aePXvWoICuMfHI8yFd2rbib49jPPN6Ss5cuaTPlEolkZGRREdHExUZibWNDQCTJ0+mRYsW+Pj4JFOrvw9ziWfBvOKDpJ6jDTLhc7Q/Op+Ykg/SIvd9BXNYb5rDGgw0a+prVy5RvVYd2nboRNnyFWnWsjVL3H+NJySvVqslH5wpUyZSp06Nra1tcjY/yZjDuSeAHTt2MHLkSCpXrkyvXr1YuXIl8NXPOjg4cPjwYVKkSGGyfjYsLIw3b94QHBxM586dga+xQd68efn8+TNg2me/AR48eEDDhg2pV68exYoVY/z48YSHhwOwatUq8uXLR9WqVTl27BgfPnwA4OjRo6hUKqNfk3zL3bt3KV26NMOHD5eu/f3335w8eZIqVapQqFAhFi9ebLIx0JMnT7h48SL16tWja9euuLi40LZtWzZs2KAjJK9UKqW8ZdasWenfvz/Hjh2jRIkSydn8H8b///lYhUKBWq2W8l2TJk2iadOmBAQEcPv2bZ0zCba2trISTf/w4QOdO3emX79+uLq6UqVKFWrWrEmZMmUICAjgxIkTAEyfPp2jR49SqlQpne9bxXkfSU5YW1vTp08fypcvT5kyZQgKCsLS0lLKMcbExJAyZUq6d+/Ou3fv8Pb2lvx8unTpkrHl/w5qtZpDhw6xceNG/v77b/Lnz0/r1q35+++/KVWqFLVq1aJXr15MmTIFa2trQkNDef36NWD8OacfoXfv3iiVSho2bMikSZPo2bMnc+fOZeHChQwZMgQbGxuOHj0KxLdfjn8fAoFAIBAIBAKBQCAQCAQCgUAgEAgEAoFAIBAIBAKBQCAQCAQCgUAgEAgEAoFAIBAI/juMX6XCSHj65DEtG9WjYqUqzJq3CLdf1+K+dBGH9u8FNEUs5i9dzoBfhnFo/16a1K1BzZo12bhxIzt27CBDhgzJa0ASef3qFWtWLmfJgrl4HD1M9hw5AU1xRe2LrAqFQnpZHmDkyJG0bduWmJgYneJzxoo52AgwfdJ4Zk+fgo+3N4WLFOPq5YtMmziWHp3aEhUVFc+OkJAQKlWqROHChZk8eXIytfr7yZkrFxkyZOTkcQ9A0482NjYscf+VajVrSf2oUChwdMwsCcGYGjeuXeWTvx9Va9RkyMjRgK5ghlKpJCIiXPrzli1bpJfSU6ZM+XMb+w8wBzufeT1l7IghNK9fm85tW1C9QhnGjhjCrRvXsbKyona9BjiVLgNobA8OCiJVqlSULVs2mVuedO7cukntyuXJlj0HA34ZJtmjfR4zZc6s42NB44Ps7OyYMmUKBQoU+Olt/hHMxU5zmU+01K3fkMHDRpLRUVMAeuO6NaxYtpixk6aybOUa2nbozMK5s/F6+hj46qNMIT740Rioffv2UqEbU8HKyoqps1yxUKmoU6Wi1E/f2qG1deLEiQwaNCieGJWxI3c7f8TPBgcHkzlzZs6cOWMyhcrMwc5Hng9pWrcmFStVYf4SN9Zu3i4Vof9WTEA7fufNms7UqVPJli3bT2/vP+H+3TvUqVqRp48fUb1mbYaOGgN8nS+U/7c7KipK+s6VK1c0n5mAkKiWGZMnsO7XlTRs3JRFy1eSL3/8uCYsNBR1bCzW1tZ8+vSJ4sWLs2TJEp17jLVgljmNWXPId8Vdg3Vs1VRnDfZtwVltf06ePJmpU6eSNatp5RD+Sew+adKkZGr19yP33MGP+CDtmDU1H2QOYzYxG5VKJVFRUTg4ZOCPPQdRq9U0bNgQZ2dn3N3dk7v5SebVixe0a96IjevWMHfmVF48e2bw/rYdOqFUKpk/f/5PauG/gznkSMwpd3Dj2lW+fPlMocJFyF+goHQ9U6bMbNyxky49elGnXgO69uiF38ePPEtkXBsj5uBnQf6+9umTx8yeNplXL17orCXVarXe2GDuzGkMGTLEpNaZYB57uN+bB7KwsNARRjQFzGlNHRMbQ2xsLMePHmZI/z5s3rCWh/fvUaKUEz369Gf/7r+4fvWydH90VBT+/v5cvXqVMmXKJGPLk465xHnm0Jcg/zlTi3Y+WbpgHscOH5Su582fn9x585EiRQqGDerHo4f3WbJiNefOnaNfv368ffsWMK09v6TaeOXSBZOzEczjbAWYhw8yhzw0/Nge0dWrVwHj3S9JCHOID8whbtfyb+S7ov7vlz59+qRz79OnT7lx44aOoG5gYCA3btzg8ePHOvcGBATg7+8fTxheoVDEez4cHR3JnTs3qVKlkq6lSpWKSpUqUaFCBZ17s2TNRp68+bC3d5DOVtSrVomUKVNiaWkpm7MV5rQOM4eY1hxsBPOw85HnQ5rXr03VGjWZ7jqfyTNmA+Bx9DAeRw4BmrNf2tggderUzJ8/nyVLlnDt2jVy5MiRbG3/HswhngXzig8g6edoHz16BJjWOVqQvw8yp30Fc1hvmsMaDL6uqe/dvYOdnT11GzSSPmvSohVLVqzWEZKPjY1lx44d3Lt3L7ma/MPI/dwTwOjRoxk/fjzv3r2jePHinD9/nhEjRtCiRQsdP5shQwY8PDxMzs8C3Lhxg1KlSpEzZ05GjRol5SS18UCWLFlM/uw3wKNHj6hevTrVqlXDzc2NTZs2MW/ePHbu3AlAzpw52bVrFzVq1KBz5864uLhQpUoVNm/ezLp167C1tU1mC76Pxo0bM3bsWDJl0sRAq1atYv78+cyaNYuNGzfSrVs3pk2bZpIx0O3bt3F2dubWrVvY29vTpEkT6bM2bdrw22+/6QjJx8bGsnnzZu7fv4+DgwMODg7J1fR/xMOHD3F0dGTw4MGAbh62QIECjB8/nho1atC9e3cWLFjAxo0bGT9+PFevXqVBgwbJ1ex/nRQpUlCtWjXatm0rXduwYQMXLlygV69etG/fHhcXF169eoWDg4PJ5MT+KUqlktq1a+Pq6opSqaR69eoEBwejUqmIjo6W8ms3b96kcOHCFC5cWLpmSjl9fSgUCho0aECWLFn47bffUKlUjBgxgj179rBz506OHDnC0qVLAfjy5Qu5c+emcOHCydvof5F79+5x5swZvLy8CAkJwdramhs3bpA9e3auXr3KmzdvuHPnDiVLliQ8PJy0adNib2+f3M0WCAQCgUAgEAgEAoFAIBAIBAKBQCAQCAQCgUAgEAgEAoFAIBAIBAKBQCAQCAQCgUAgA1SJ3yIICgxkzvTJNG/VmonTZkrXL547x5ED+2jTvqNUMHHKzDm0bteBt29eY58mBcWLFyd79uzJ2Pqk8/D+Pbq0a0m27Dnwef8eX98PzJgzny49eumIaqVImZKY6GgAJkyYwKpVqzh58qT0ArQx8yM2zpk+hbUmZCPAr+7L2PXHDrb88RfFSpREpVLx7u0bDuzdzfw5M+nfowvrt/4OaGz19f1Ak7o1yJIlCx4eGjH22NhYoy8CpW1jtuw5ePXyBYDUj9q2a/+9fctGYmNjyZsvf/I09h/i6+NDbEwsarVaRygjJiYGCwsLUqexJV16OwBcZ0xlxbLFeHp6JmeTfwi52/nw/j06tGpKvYZNGDx8FM5lyvLHti0c2r+XIf17s2j5SspVcJHuVygUrHBbwpMnT6hfv34ytjzpPLh3l1ZN6tO2QyfS29nRrGVrQCPyoi2MExMTg/9HX+k7K92WkDWjPb169TIZP2sudprLfKJF63u0wmGhoaFYWlqy98hxylesBEBJJ2f+2L6FEx7HaFirmo6vMmbMJQbSolAoKFu+IkvcVzFsYD/qVnXB4+xFVCoVUVFRmiLmn/wAWL5kIYsXL+b8+fPky5cvmVv+fcjZzh/1s1ky2NG7d2+sra2Tpd3fiznY+fnTJ8YO/4XW7Tswfsp06XrceE8b60VEhJMpcxbWrV7JSrclXL9+HScnp+Rq+nfz4N5dmtSrSa++A+jeu6/OZwqFgujoaEJDgomJiSHF/4t5zpk+heVLFvLhwweTKEoL8Nva1ez6Ywcbtu6gTLkKeu+LiYkhVerUhAQH07h2VUqUKMGBAwd+Ykt/DHMas+aQ7/qeNVh4eBiZs2Rl3eqVLFiwwOT680didxcXF5OM3eWcO/hRHyTGrHGSVBu1cd+nT/58+fyJTp06sWXLFsD4bQQIDw9nw7pfKV+xEp269aR3lw5MHDuS2fMWkTtvXiDhMTxv3jwxZo0Mc8sd+Pr4EPPNfALQqVsP6b/VajUqlSVFihYjd+7cydHMH8Ycxiz8mK/99Ml0fG1kZCS/9OvFnVs3ObhvD3XqN6B02fI0a9laGreRkZGoVCoCvnzB0sqK1Svc+NV9GdevX6dIkSLJbEHSMQcf9E/2FXr37o1SqTT6PPQnM1hTawvmR0dHkydvPkZPmMSb169ImTIVL54/Z/effzB64mQaN2/B38ePcfLEcZxKl8XCwoIJU2dQIGcWk5lT5B7nadtuDn0J5rM+SWg+mem6gM7de5LRMRPBwUGULJib2Fg1W/74i1LOpXEqWpA2bdoYvW1afsTGnLly0a97Z5OxEeR/tsKc5hNzyEOD+ewRyT0+APOI27V8Gx9YWFjg/e4tB/buZt7sGXTv0IalK1eTIaOjlDtwdnbG1taW33/X5BRiY2MJDg7m3r17pEqVCjs7O+n3Q0NDCQoKIjz8q/ihlZUV1tbWWFlZ6bQla9asZMyYkbRp00rXUqdOTbVq1eK1WyvkFheFQmFQsE3OZyvMaW9T7nkgMJ+43Rzs/PzpE+NGDqVVu/ZMnjFbeh6XL1nInOlTqFRF49/qNmhEihQpsE2bltHDfuHl82ecP3+e0qVLJ2fzE8Xc1tTmFB/A952jPXz4MBUqVDCZc7Qg//nEnPYVzGG9aQ5rMPi6pu7dbyA9+/SP97mFhQWNm7VAoVAwbKBmza1QKNi4bg3Pnj372c39x8j53BPA4sWL2bJlCwcPHqRUqVKoVCrevHnDzp07mTJlCu3bt+evv/6S/Kyfn59J+VmAO3fuUKNGDbp164adnZ0kyvxtbODr+zU2WLhwIWnSpDGZs98AgYGBjB8/nvbt2+Pq6ipdP336NHv27KFLly6o1Wrs7OzYtm0bhw8f5s2bNwDUqVOHPHnyJFfTfwjtM1moUCHgawx09uxZKleuDEDp0qXZuHGjycVAd+7coVKlSgwZMoRBgwbF+9zCwoJWrVqhUCjo3r07oLFp5cqVJulntXh7e9OjRw+cnJzYtGkTSqUSNzc3lEql5HPLlSvH77//jqurK1u3biU2NhZ7e3s8PDwoUKBAcpvwrxATE4OtrS1z586V/M/OnTtxc3Nj27ZtlC1blpQpU1K8eHEWLVqEm5ub0Y/pfxOlUknVqlVZsGABo0ePplq1apw+fZo0adIQHR2NQqHg5s2blCtXTjZ/L5GRkVJ+tkCBAsyYMYNmzZrRpEkT2rVrR+7cuXXW7MHBwSxatIh79+5RtmzZ5Gr2v8rkyZP5888/CQkJITAwkEmTJjFw4EDSpUvH3r17iY2NJSoqSnpmPn78SHBwMJkzZ07mlgsEAoFAIBAIBAKBQCAQCAQCgUAgEAgEAoFAIBAIBAKBQCAQCAQCgUAgEAgEAoFAIJADxltRwUiIiIjA0sqKz58/U7FSFZ3PsufIyYcPPoBGuDo2NhaAIsWKU7dBIxo2bGgShWVAU3y3UZ3qtGzTnp37j7Bh6+/kyJmL9WtW8fGjr2QbQEx0NGnTpcN1xlQWLVrE+fPnqVBBv3CcsXD37t0fsvFX92UmY6NarSYkJITTf59g6MjRlHIujYWFBWq1mqzZstOxS3fGTpzC38ePsWblcgBCQ0K4fOE8hQoX4cSJE4BxF1x5/vw5K1as4OmTx7z3fgdAwyZNefvmNZGRkcTExABfC3A883rK1Ilj2bhuDctWrSFDRsdka/v3EreAanRMNLZp08YrNqDtp6jISBQKBUsWzGXNKncuXbpkEkVMwXzs1PrZdh27MGfBYtp17Ez+AgWZNH0W4yZPw8YmBVMnjOXl8+cAnDzhwdgRQ9m4djW7du0yiYKJd+/epXHdGvTqO4A5C5ZI17XF5rR+VqFQYPn/YhPzZs9g5pSJVKxY0SREXsA87DSH+URLXB/0re9JmTIl7Tp1kQpfxsbG4vvBh+zZc1C8RMmf2s5/gjnEQAA+Pj7cuHZF+rNSqaREKWeW/bqWkJBg6lZ1Qa1WY2lpiVKpJEuWrMybOZ3F8+Zw7tw5oy++q8X3g/ztNAc/C+Zjp6/vBz74+NCoaQsdf6P1uWq1WrIlZcpUrFi2mHmzprP3yAmcnZ2Tpc0/wsP792hctwZ9Bwxm0vRZ0vVTJ47j9fQJoCmyp1JpCkRaWVmzeL4r69es4sqVKyYhDqJWq4mMjOTkCQ86dethUEAeIH16Oz74vKdqeScyZ87MoUOHAHTGgTFiLmPWHPJd2hgosTXYM6+nAKROYyv157lz50ymP/9J7F6sWDGTid3NJXfwoz5IjFnjIqk2njzhwbrVKwEICQlh0dzZ5MqT12SKYoPm2bSxscG5dFnq1G9A5arVOHb6AjevXWXi2JG8+H8h4bjPq3YMt23b1iSK7ZrDmAXzyR3Em09sbePNJ1oxR9CM3TUrl/Pe+53ws0bGP/G1+fLlMxlfa2VlRZPmLZk2ey7zFruRxjYto4cNZkCvbqxfs4rY2FisrKxQKpU4OGTAdcZU5prg+uRH96lNyQf90zyQMY/TuPj4+Mh+TR0SEgJo1ssARYqV4Mnjx5QpX4EZrvPp0LUbv/TtxeUL58mSJSvrf12J54P7AJRyLm0S+31gHnGeufSlOa1P9M0n61av5IPPe2JiYqhQsRK58+Zj65+7KeVcmpiYGKpUqcLLly/JkiVLcpuQKPri9sRsrOBS2WRsBPM4W2EuPsgc8tDwNdaT8x4RmEd8ILe4PTo6WicuDwsL4/Xr17x9+1YnPrCysuLKpYt8+uQvxQdDR47m7OmTuC9ZBHzNHeTNm5cFCxYQGRkpxQfW1takSZOG1KlT6/z/c+bMSfHixUmfPr10LVWqVFSsWJGSJXXP3Dg4OJA5c2ZSpEjxr9lvDmcrwDz2Ns0hD2Qucbu52Anw8aMvPt7eNGjcTMo5b1q/lvmzZzBnwRIsLCzYtGEdRw7uJzY2lk/+/jx9/Ijr169TpkyZZG594phLPAtfzwPJJT7Qx4+eozUlkWpzmE/AfPYVzGG9aQ5rMNBdU0+cNlO6HndNDZq+bNysBYvdV7Fhza/s+n0Hly9fJkeOHMnR7O/GHM49af3ssWPHmDBhAmXKlJH8bPbs2enVqxczZ87kyJEjLF+u2acOCQlh+vTpJuVn7969i4uLC7/88otkByQcG2gFeqdMmcKYMWNM6ux3REQEVlZWfPr0iWrVqul8litXLt6/fw9o+l1rc8OGDenXrx/9+vUzGQH5xGKg7t27SwLysbGx+Pj4kDNnTpOKgbRjdtiwYbi6ukrXjx07xuPHj6U/q1QqWrVqxfr163F3d2fLli0m5WcT4vTp0+TIkYNly5axfv161q1bx5AhQwDNnKl9Bzl9+vTMnz8fDw8PLl++zIEDByhVqlQytvzfQftsav2Odv0G4OjoyPHjx2nZsiXZs2fH3t6eWrVq8e7du2Rpa3ISHR2NUqmkWrVqLF26FIVCQfXq1QkODkalUjFlyhR2797N2LFj/9XcZXLx+PFj+vbty549e6RrTZo0oVevXkyZMoVHjx7p3H///n3at2/PunXrOHToELly5frJLf73mTVrFuvXr+fXX3/l+vXrTJkyhTlz5vDmzRvpHm3eOzAwkPPnz1O/fn3y5ctHmzZtkrHlAoFAIBAIBAKBQCAQCAQCgUAgEAgEAoFAIBAIBAKBQCAQCAQCgUAgEAgEAoFAIBAI5ILxVlUwAt6+fcugPj148fwZq9ZtpEnzloDmxWAAh4wZSZkyFaApFKBUKvHz+5hs7f1R3rx5Q+umDaldtz4Tp83EysqKosVLkCFDRgK+fEYdGyvZDJoXyG9ev8am9Wu5ePGiSRQLevPmDbVq1fohGw94nDIJG0EzDgMDvnDzxjVy582ncx3ANm1amrVsTf4Chbhz6yYALdu0o2ff/qxctxEw7oIrUVFRjB8/nvnz59OpdXOqVyxDh5ZNWTBnFp4PH+Dv91GniIPng/vs2LKJS+fPs/vQMYoWL5HMFiSdd+/e0bVrV86c/BuAmJgY7Oztga9FHGJiYqS+VSqVTB0/hmUL57HnkIdJFBEE87Ezrp+dMHUGKpUKtVot+Z1mLVvTrVcfvJ4+4fzZ00RHR+P74QNvXr9iz5HjJlFgRutn69RrwPgp06Xra1Yux3XGVGJiYuIUIFHhmDkzK92WsMptCcdOX6B48eLJ1fTvwlzslPt8ouXdu3f80q8X58+e0XtP3EJdSqWS39atwd/fn5JOphEbmEsM9ObNG4oVK0bjOjVo2bgec6ZP4fyZ00SEh+Ncuiwr1v6GQqGgVuXyqNVqbGxsCA0N5c3rVxw6ccak5pPqFcrI2s5/6mdLlDCNeM9c7AR4cO8Ob9+8pmKlyiiVyngC4gqFgtDQUJ48fkSRYsWxtrbmgMcpnEob/3jVoo31vu3PJQvmMmroQKkguEKhIEXKlKRLb8fooYNYumAuuw8eo2zZssnV9O9CoVDw5fMnLl88T5GixQBdgc24fP70iTS2tvi8f0+ZchX4+29NvG8K8YE5jFlzyHfFjYESW4NdOn8OAIcMGaT+NJXnEv5Z7L5t2zbA+J9Nbdwu99wB/LgPEmPWuEiqjfnyF+T2jesA2NjYMOCXYew55AEYv43w9dm8duUSzVq2pmWb9gDkzJ2bIyfPxSter1arpT6F+MWXjRVzGLPmkjv43vnk9s0bTJs4jvVrVvHrhs1ky5YteRr+nZjDmIV/5mtPnz4NmIadAKWcy7Bo3hxs06Zl9PhJnLt6i7z5CzBz8gQa1a7GxnVreOb1lAyOjoSFhXL4xBlKOZuG0B38s31qU/FB5rKvAHD79m1Zr6l9fHwoUqQIrjOm8vbNawBcKlehXIWK/NKvN58/+dOzT3+2/PkXz728sFCpCAwMYM7/+1lfHsXY0O7fyjnO0/blxIkTZd2XYD7rk8TmE61gz7DR41i9YTMlnZx1BFWtra2T2YLESSxul4ONYB5nK8xlPnn79i2dO3eWdR4a9Md6ctsjMoc8kCnE7TExMYSFhUlnIwFCQ0Px8vLi1atXOvfevHmT8+fP8/nzZ+laeHg4z58/x9vbO358oFYT8//n0zZtWpq3akuuXHl4+eI58DV38Oeff1K6dGns7Oyk+CBlypSULl2awoUL67QhXbp02NvbJ8scZA5nK7SYw96mOeSBFAoFX77IP243l/UJwN3bt3jz+hWVqlSV2lunfgN27j9Mjz79mDZnHpERESxZMI/nz7yY4Tqfc9duU6xYsWRueeKY05pa33kgY4oP/g3+yTlaU5ozzWE+0SL3fQVzOPdkDjlaSPqaWotCoeDc6dOkSp2a/R4nKV3aNMatuZx70sa0V65cIX/+/DrXAdKmTUu7du0oVKgQV69eBTR+dtSoUSbjZ7VjtnHjxsyePVu6vnTpUiZOnKgTG6hUKrJkycLChQtZsGAB169fN5mz39q8npeXF9u3b6d169bAVz/r6OhIqlQaP6tUKlEqlXz8aFp+Fr762lOnTum959sYaOXKlfj5+ZnMc6lvzM6aNYs+ffok6Gf//vtvUqdOzYULF0zGz37LkydPuHjxIvXq1aNr1664uLjQtm1bNmzYEE9IXq1WS7m2TJkykTp1amxtbZOz+f8KT58+ZdSoUXTu3JmBAwcCGnu1z3HVqlV19lOio6MJCwujZMmSydLen8W3Yz4mJgaVSoW3tzdHjx6lUqVKLFy4EAsLC+rVq8eYMWNYsmQJhw4dolChQsnU6n8PtVrNli1b2Lx5M4MGDaJ37968f/8etVpNnz59sLGxYffu3URFRUnfKVasGB06dODMmTMmsQeXGNeuXePw4cO4u7tTo0YNMmXKxKhRo8ifPz9HjhyJd7+Xlxc7duygdOnS7N27FyBe/lUgEAgEAoFAIBAIBAKBQCAQCAQCgUAgEAgEAoFAIBAIBAKBQCAQCAQCgUAgEAgEAoHgezHeygpGQGRkJN7v3jJr6iRev3oJaF4MjluQ4kucIovzZs9g6YK5RERE/Oym/iNiYmLIkTMnkZGRXL18EQC3RQu4cO4MdvYODOnfh85tWjBv1nQe3LtLtuw5qFajFnsOe5hMMYCYmBhy5879QzaaikisljRpbLG0tOL+nTuAbgEgtVpNpsxZqF2vPvfv3SUyMpJiJUoye/5iwPgLrlhaWvLbb7/x6tUrft9zAPfV66ldvwHFS5bCzt6e0cN+4aPvB6lIR+GixWjZph3bdu0xKQF5gIiICN6+fcvqlcu5e/sW0VFRWP2/oKq2j+IWI4mMikRpYcGRU+dNqoiXudgZ189euXQB0Dyb2oLnAJ2796Ro8RKcPnkClUpFm/YdWbtxK4UKF0nOpicZrZ+NiIiQ/OzyxQtY4DqL2vUaYGFhgUqlAjTP8poVy1myYC57j5ygRCnTKSJhLnaCvOcTLREREbz3fsev7suk/vwWrd0Xzp1l2sRxrF3lzqp1G8maLfvPbOoPYy4xUGxsLNmzZydvvvyEBAfj4/Oezm1b0LxBHQb37cnrVy8ZPHwkEeHhtGnaEIAhI0Zz5NQ5ihQzjWKtoLEzS9ZssrbTXPysudgJkD1HTlQqFYf27wVIcH7YvmUjk8eOokbtuly589Bk4h8t2ljv2/5cu2oFC5atIH+BgoBm/vT3+8hjz4dcPH+Wo6fOm5SvBUiVOg02Nil49vQpkHDB2WdeT2nWoDYqlYqlK9ew+rctgOnEB+YwZs0h3xU3BkpsDXby+DHNn7v14OpdT5PrT5B/7K6N2+WeOwDz8EEg/zELSbfx3t07REZGYmFhQbESJaXPTcHGiIgIvN+9ZdmiBZKvVavVREVFkTtvXg6fPCsVr3/y+BETRg9nyvjRBHz5krwN/wHkPmbNJXfwvfPJtk2/8fiRJ3sPH5eeT1NB7mNWizn4WoBKVarSqWsP1q5yJzw8HMdMmXn6+BHZc+SkYOEi7N/7F1XLOfHm1UtOnL1M4aLGLzQVl3+yT20qPsic8kC5cuWSdTxrY2ND79692bhuDcMH9WfNyuUADB89jtr16uM6cxqBAQGUq+DC2MlTGTR0BLXrNWDStJlYWFiYjHBPREQEb968kXWcp+3LlStXyrovtZjDnJnYfPJLv960btIAt8ULeO/tTXBQkM7fgyn0aWJxuxxsBPM4W2Eu80lkZCRv3ryRdR4a9Md6ctsjMoc8UHLF7REREQQGBkoCTgDBwcF4enry7P+CkFpu377NlStX+BLn7zUyMpK3b9/y4cMHnXu1bY0r+JMiRQoyZcqEo6OjTnyQJ19+Spcrj0OGjICmb3PlzkPj5i14+fKFTu4gderUpEqVCisrqx+2+WdgDmcrtIh9BfnEtLa28rcRzKMvAbLnyIFKpeLwgX2Apu1ZsmajgktlYmNjKVykKM1atkapVJAufXoaNG5K3nz5E/lV48Cc1tT6zgPJLa/3T87RZs9uGudotZiLD5L7voI5nHsyhxwtJH1NDRr7T588wbkzp9i1/wgFCpqOkKs5nXuytbXFysqKW7duAfH9bJYsWWjUqBG3bt2S/GypUqWkz43dz2rHbHh4OBcuaJ7NuXPnMnXqVBo1ahQvNliyZAkzZ87k3LlzODubTh5Im9cbO3YsL168AOL72U+fPkn/PWXKFGbNmmVSfha+vs+4aNEiqT+/RTuGT58+zahRo1i6dCnbt283mRhI35hdtmwZa9as0RHFVqvVeHh48Pfff3Py5EkKFy6cXM3+R9y+fRtnZ2du3bqFvb09TZo0kT5r06YNv/32m46QfGxsLDt27ODevXvJ1eR/nfv371OpUiU+fPhATEwMJ0+epFKlSsDXnOG3TJ8+ncuXL9OxY8ef2dSfRkxMDPBV/FutVhMdHY2FhQWvXr2iXLly3L59G4CqVauycOFCgoKCWLJkicn5cEMoFAqaNGlCkyZNmDx5Ms+ePaNv374sWbKEkiVL0rFjRxYtWsT79+8BzXwA0KlTJwoUKJCcTf/XiIiIwMHBQaqLod17TJ8+fbwcO4CzszOjR49m8+bNgGmdqxMIBAKBQCAQCAQCgUAgEAgEAoFAIBAIBAKBQCAQCAQCgUAgEAgEAoFAIBAIBAKBQGC8KNTatxxNnMDAQNKmTUtAQAC2trb/2u9eunWfiWNGglrN8DHjKFfBRfps26bfWLPKnTOXb0iFZeIW+HS0tfnX2vFfo7XTysoKB4cMHD18kPlL3ChX0YVnT5/g9eQJv7ovIygoEMdMWfhz70HSpU9vUjY+ffqUfgMHf7eNYFp9+dzbj5aN62FlZcXyX9eTK08e4OsLzQqFgvGjhhEZEclCtxXExMRIBQBMwU61Wo1CoeBDYLjO9SMH97Nq+VJSpUrN8jXrcXDIoPc3TMFOAC8vL/r2H0jKlCl58+YN6thYChYpgkKhwMLCgsiICBQKBTY2KXjk+YBFy1dJBT5NxUYwHzvjzifDRo+lfEVNAQ7tmAZo2bgemTJlZuW6jTrfNRU74/rZDBkycvTwQdxXr6d6rdo69y1bOJ+5s6Zx5spNqYCXqdgI5mOn3OcTLfpivbjP5qdP/rhOn8rbt2+YMmO2VDDRVOw0lxjIy8uLocNHEquOZciI0WR0zMT1K5fZsPZXoqKiePTwATlz5+Gx50Oat2rDqvWbpO+akp2Xbz1g5pQJsrbTXPysudh5+9Ez6lR1oXTZcsyat5DsOXICun526sSx2FjbMG7yNJ2ikaZkZ9w1dYYMGTly6AAr1myI159PHj/i3p1bFCtRioKFNAX2TMnO5+/9adW4HpaWlritWkfuvHkB3YJYly+eZ82K5SxwW4G9vQMAGVJbmUzBLHMbs3LOd2n9rJzXYFp+NHY3JTsv33rAhNHDZZ87+FEfZEo2gnmMWXNfU0dGRmJlZcWLZ89oUq8mMdHRhIaGcMDjlCSaYUp2msOYNZfcQVLnE0srK4ICAnBdtJSMjpkA07LTHMYsmIed2r2wA3t3s3qFG/uO/s3ooYM5fuwIO/cfplDhIjx/5sWl8+coU76CtM4E0xqzP7pPDaZjp7nkgd69e0cpJ2fZr6nPXr3FgjkzeXDvLpmzZmX+kuU8vH+PEx5Had22A1Vr1JTujWs7mI6dcdfUco7zHj58yNgJk2Tdl2B+65PE5pPg4CCyZsvO3iMnsLS0NCkbkxq3f2sjmGZfyj2vZ87zCcgnDw3xYz257hGZQx7o34rbg4ODiYiIIE2aNJLYelBQEC9evMDa2pqCBb8KId64cYOgoCCKFy+Ovb09AF++fOH27dukTJmScuXKSffevXuXgIAAChYsSMaMGsF3reCZjY0NWbNmle6NiopCqVTqCBHGxRzW1OZwtgLMZ2/THMZscHAwlatWk33cbi7rk1ueXtStVinesxmXaRPH8fbNa5auWE3qNGkA07LRXNbU354Hkmte70fP0ZqSjWAe84m57SvIeb1pLjnapK6pXzx7Rs7cufH76GuS+7fmcu4pODiYGjVqYGVlxebNm8n7//Olcf3s4MGDiYiIYM2aNTqxnqnw9OlThgwZgpWVFY6Ojuzbt48tW7ZQt25dnfvmzJnDpEmTePDggUmKcWvtVKvVTJ48WRKgBli3bh1Lly7l/v37koD8tWvXJEFeU0KfnXFjIH9/fyZMmMDr16+ZP38+xYsXT84mfzffjtm9e/eydevWeGPWy8uLPHny4OvrS6ZMmZKptf+MO3fu4OLiwpAhQ3B1dU3wnujoaHbv3k337t3p3bs3CoWClStX8uzZM3LkyPGTW/zv4+3tTYMGDahfvz7z5s0jNjaW69ev06VLF1avXk316tV17j99+jQbN27k8OHDHDt2DCcnp+Rp+H/IkydPWLNmDV5eXhQuXJjOnTtTtGhRAN6+fUuBAgXo3r07K1askJ77mJgYLly4QO7cucmePXtyNv9fISYmRidPPGTIEB4/fszhw4fZvHkzhw8f5vnz56xfv54OHTpQqFAh9uzZk4wt/m959OgRhQpp1u3R0dGoVCr69u1Lrly5mDBhAgBhYWF8+PCBXLlySd/7NrchEAgEAoFAIBAIBAKBQCAQCAQCgUAgEAgEAoFAIBAIBAKBQCAQCAQCgUAgEAgEAoFA8C1J1VQ3DQWvZCRP3nzMnr8IFAqWzJ/LlUsXdD7PniMnbosWsHLZYo6dviAVljE18uTNx6x5CwkPC2P3zt8ZNHQ4jZo2J0OGjFRwqUzn7j05dvoC6zZvZ+3GrVJhflMif/78srcRIFXq1EyeMYdbN66zZOFcXr18CWiKrSgUCj5+9OX8mdMc2Leb2lUqsGblcsLCwpK30d/Bty9ax8bGAlCvYWN69h1AZGQk3dq3xt/fLzma96+SL18+Zs5bSFh4OM+8nvDu7RtSpkyFn68vvh8+EBkZSWhoCD4+71myYrVUJMjUMBc7484nSxfM4+rli4BmTMfGxuL97i02NimoVlNT8EpbKMmUiOtn//pzB4OGDtcp4KW1aeioMdzy9JIKJZoa5mKn3OcTLd/GenGfTdAUBFm6YC6vX71k4TJ3SUDelDCXGChfvnxMmDaTiPAI5s2awUdfX5q3bsv+Yyf5ffcB5i91p37DxhQvUYqBQ4Ynd3N/mNx588reTnPxs+ZiZ+YsWZm3eBmn/z7OvNkzePzIE9D42dDQUOZMn8Kh/Xtp06GTSRdVirum/uvPHQweNoLqtWqjVqulvpw3azodWjWleq06OgV4TYlUqVIxafrsePGBViD+vfc7ZkyeQNbs2SUB+bifmwLmNGblnu/Knz+/7NdgWswhds+dN69Z5A7MxQeZw5g1BxtB/5raysqKqKgocufNS7UaNVEoFBw7c1EqWm9qmEN/mkvuIKnzid/Hj4yeOEUSIDA1zGHMgvnYCdCkeUtUlpZkd7Dl5Ilj/L57vxTv5Mmbj07depjsOhPMb59aznmgrFnNI54tWKgwC5a6M911PkEBgXRq3Zx7d27z6OFDDuzdrXOvqdoZd00t5zivSJEisu9LMJ8583vmk5VrN0ri6qbE98TtpmojmMfZCjDP+USOeWiIH+vJdY/IHPJAhuL2gC9f+ODznoiICCluz5QpM3du3eSR50Od33n8+DH37t0jMDBQuhYTE8OnT58ICAjQudfGxgYbGxsdX5YyZUry5MmjI1ADULx4capUqSIJyANYW1uTN29eHQF5AEtLS70C8mAe8YE5nK0Asa8gpzGb2gxsBPPoS4AsWbMxd9FSTp3w0Hk2AYICA5kxeQK/b93MqPGTJAF5U8Nc1tTfngeSa17PHM7Rgvn4IDCPfQW5rzfNJUeb1DV1i0Z1CAkONtn9W3M595Q6dWrmz5/P1atXmTVrFi9evAC++llfX1/+/vtvdu7ciZOTE0uXLjU5P5s/f36WLVtGWFgYW7duZcyYMTpi3NpxO2HCBN6+fWuSAvKgsdPNzQ2FQsHMmTM5f/68zue5cuXC1dWV+fPnc/36dZMUkIf4dl64oJlP4sZA2rG8Zs0akxOQh/hjduzYsdStW1fHz06ePJlq1aoRHBxssgLyd+/excXFhWHDhukIyB87dozHjx9Lf1apVLRq1Yr169fj7u7Oli1buHz5siwE5MPDw7l69SopUqRg0KBBgOb8fpEiRYiKisLb21vn/pCQEMLCwlAoFJw+fVqWAvL379/HxcUFf39/lEol169fZ+TIkXz8+BHQ/P0MGzYMd3d36blXq9VYWFhQtWpVWQjIv3r1isGDB+Pl5SVdc3Nzw8/Pj/Hjx9OjRw9+++03XFxcaNeuHSlSpGDfvn1s27YtGVv97xMWFibVIShUqJDkA7U59PDwcPz9/QHw9/enevXqHD16VOc3TDm3IRAIBAKBQCAQCAQCgUAgEAgEAoFAIBAIBAKBQCAQCAQCgUAgEAgEAoFAIBAIBAKBwLhQqE21kuo3BAYGkjZtWgICArC1tf3XfvdDYDgAz595MXHMSFCrGTpqDBVcKvPH9q0MG9iX9Ont2P7XPko56xY8cLS1+dfa8V+jtfPl8+eMGzkUpYUFQ0eOpnzFSoCm6IFKpYr3PVOyETR2fq+NYFp2avvyt7WrmTJ+NOUquNCgSVMqVamG15PHLFkwl3Tp09O1ey+UFhZUrFSZDBkdAdO0EzQv5ysUCtRqNTt/387ev3Yyf4kb2bInXMDB1Ox88ewZk8ePJioykmmz5yap8Jop2QjmYWdC88mw0WMlHzRr6iRO/X2cLX/8RZas2XS+a2p26vOzarWa2NjYBIsUm5KNYB52mtt8EvfZHD5mHOUquBAZGcnUCWPYvGEdx05foFiJkjrfNTU75R4DgcbO58+8mDh6BAC/jBiNS+UqOvckZK8p2akzZmVup9z9LJiHnR8Cw4mNjWXrxg1MGD2cXLnzUKZ8BaytbfB5782Na1fZ8dc+ipcsFe+7pmYn6K6ph4wYRQWXygDMmz2DlcsWs//YyXhFaU3Rzo3r1jB53CjKV6xE/cZN/sfefYdHVSVuHH+npJIOhA4BpEuv0lx0VVxwV3dZ3fW3sra1F6xrhVVBUFjFirq6rmJZ+6pYsWJBlCa9EzokgRAyqdN+f8R7mUkmIYGEmbn5fp7H53FuzkzOIfeeOefc8mrgoCFavnSJ/vPcM+qQ1VEv/vdNSYfnatHWxsa0zzaG9S6rz8Gkox+7R1M7jTY2hrWDo+mDoqmNUuPaZxvznNrn82nWjGl6+MHpmr9gYdTPqSVr77NS41g7aEzfJ1Lj2Gcla7dz36FSc1712acfa8rtt+que6bqzPG/NbdXJ9raKdX9PLUUfe20+jqQJO05WNxo5tSGybffoo0bNmjdmlXau2ePZj3yhP7vrxeFfG+0tdPq4zwp+O9p5b+l1HjmJ1z3ZI3vTKlxXFsRyMp9kNXXoaWqx6aVzxFF8/ig8jwqLy9PJSUlat68ueLjK+q4ftseffv1V3rq8UeUkpZm9rMrli9T4aFD6tq9u/k9WXDwoFatXKGExASdOebw+fp169apqKhIHTt2VEZGhiTJ7XZr//79iouLU3p6+nFsdWiNZU4tNY5rKxrTuU0r77NSRTsby7i9MbTT6/Xq5Ree1x233KCOnTpr0JBhiomJ0Z49u/XzsqV6+Y13LHPOT7L2eFaqfq5plXW9o72ONpraKDWO75PGdl7B6vPNxrRGW9Oces6jD+v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"text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "intf = mdciao.cli.interface(\"mdciao_example/traj.xtc\", topology=\"mdciao_example/top.pdb\", \n", " no_disk=True, interface_selection_1=[0], interface_selection_2=[1], \n", " ctc_control=1.0, \n", " min_freq=0,\n", " figures=False);\n", "intf.plot_freqs_as_bars(4.5, shorten_AAs=True, defrag=\"@\", cumsum=True);" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "In the graph (double click to enlarge), we note the *long tail* of the bar-plot as we move to the right. *Where exactly* should one stop to pay attention can't be really answered numercally alone. `mdciao` tries to provide hints as to what might be sane values, e.g, the log reports:\n", "```\n", " The following 138 contacts capture 74.50 (~100%) of the total frequency 74.50 (over 138 contacts with nonzero frequency at 4.50 Angstrom).\n", " As orientation value, the first 73 ctcs already capture 90.0% of 74.50.\n", " The 73-th contact has a frequency of 0.57\n", " ```\n", "which means:\n", "1. the reported contacts, which have resulted from using `ctc_control=1.0, min_freq=0.0`, are capturing **100%** of anything there is to report. \n", " This is exactly what is expected (100% of 100%).\n", "2. Then, as orientation, `mdciao` looks for how many contacts one would need to capture 90% of that 100%, and the in this case the number is 73. \n", " Meaning, just 73 contacts out of 137 contacts (i.e. roughly the upper half of the table) already capture 90% of everything there is to report. You could *throw away* the second half of the entries of the contact list and **still** keep 90% of the total frequency there is to report. The *running* value of $\\Sigma$ as you move to the right on the plot is represented with fainted gray line that grows between 0 and 1. You can see that in the middle of the plot it already reaches high values. \n", "3. Finally, `mdciao` informs the user of the frequency value of that last contact at 90%. In this case, that value (0.57 i.e. 57%) is, in this case, too high to be discarded. \n", " While truncating the list at 90% seems a reasonable way to focus on the relevant frequencies, that would mean discarding some contacts that are formed slightly below 50% of the time (see the graph).\n", "\n", "Hence, as a compromise between reporting *everything* or risking truncating *too early*, `mdciao` sets by default `min_freq=0.10`, i.e. contacts formed less than 10% of the time are simply not included in the returned `ContactGroup`. The *long tail* is contained in the above report, nevertheless:" ] }, { "cell_type": "code", "execution_count": 10, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Will compute contact frequencies for trajectories:\n", "mdciao_example/traj.xtc\n", " with a stride of 1 frames\n", "Using method 'lig_resSeq+' these fragments were found\n", "fragment 0 with 354 AAs LEU4 ( 0) - LEU394 (353 ) (0) resSeq jumps\n", "fragment 1 with 340 AAs GLN1 ( 354) - ASN340 (693 ) (1)\n", "fragment 2 with 66 AAs ALA2 ( 694) - PHE67 (759 ) (2)\n", "fragment 3 with 283 AAs GLU30 ( 760) - LEU340 (1042) (3) resSeq jumps\n", "fragment 4 with 1 AAs P0G395 (1043) - P0G395 (1043) (4)\n", "Select group 1: 0\n", "Select group 2: 1\n", "\n", "Will look for contacts in the interface between fragments\n", "0\n", "and\n", "1. \n", "\n", "Performing a first pass on the 120360 group_1-group_2 residue pairs to compute lower bounds on residue-residue distances via residue-COM distances.\n" ] }, { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "7c816220c56c4e50a52e15fbbaa76f04", "version_major": 2, "version_minor": 0 }, "text/plain": [ "HTML(value='')" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "883d3f01ed2a453f937bb2b25c9c3734", "version_major": 2, "version_minor": 0 }, "text/plain": [ "Textarea(value='Processing trajectories: 0/1 [ 0%]. Frames processed: 0. Elapsed time: hh:mm:ss. Remai…" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Reduced to only 1153 (from 120360) residue pairs for the computation of actual residue-residue distances:\n" ] }, { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "892009de74eb4653b5f576897e74de4d", "version_major": 2, "version_minor": 0 }, "text/plain": [ "HTML(value='')" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "e93e01cab7df4ec992417516a3d65cc2", "version_major": 2, "version_minor": 0 }, "text/plain": [ "Textarea(value='Processing trajectories: 0/1 [ 0%]. Frames processed: 0. Elapsed time: hh:mm:ss. Remai…" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "The following 93 contacts capture 72.90 (~98%) of the total frequency 74.50 (over 138 contacts with nonzero frequency at 4.50 Angstrom).\n", "As orientation value, the first 73 ctcs already capture 90.0% of 74.50.\n", "The 73-th contact has a frequency of 0.57.\n", "\n", " freq label residues fragments sum \n", "1 1.00 I26 - K89 22 - 442 0 - 1 1.00\n", "2 1.00 R228 - G162 194 - 515 0 - 1 2.00\n", "3 1.00 R228 - D186 194 - 539 0 - 1 3.00\n", "4 1.00 Q227 - Y145 193 - 498 0 - 1 4.00\n", "5 1.00 Y37 - L55 33 - 408 0 - 1 5.00\n", "6 1.00 K233 - N230 199 - 583 0 - 1 6.00\n", "7 1.00 K233 - D246 199 - 599 0 - 1 7.00\n", "8 1.00 D33 - K78 29 - 431 0 - 1 8.00\n", "9 1.00 F238 - L117 204 - 470 0 - 1 9.00\n", "10 1.00 F238 - W99 204 - 452 0 - 1 10.00\n", "11 1.00 Q227 - N119 193 - 472 0 - 1 11.00\n", "12 1.00 L30 - G53 26 - 406 0 - 1 12.00\n", "13 1.00 R201 - R96 169 - 449 0 - 1 13.00\n", "14 1.00 N23 - N88 19 - 441 0 - 1 14.00\n", "15 1.00 N23 - K89 19 - 442 0 - 1 15.00\n", "16 1.00 F222 - L117 188 - 470 0 - 1 16.00\n", "17 1.00 F222 - W99 188 - 452 0 - 1 17.00\n", "18 1.00 C237 - W99 203 - 452 0 - 1 18.00\n", "19 1.00 E27 - K89 23 - 442 0 - 1 19.00\n", "20 1.00 C237 - Q75 203 - 428 0 - 1 20.00\n", "21 1.00 C237 - K57 203 - 410 0 - 1 21.00\n", "22 1.00 I26 - A92 22 - 445 0 - 1 22.00\n", "23 1.00 D240 - K57 206 - 410 0 - 1 23.00\n", "24 1.00 Q236 - Y59 202 - 412 0 - 1 24.00\n", "25 1.00 K233 - D290 199 - 643 0 - 1 24.99\n", "26 1.00 C237 - Y59 203 - 412 0 - 1 25.99\n", "27 1.00 Q236 - W332 202 - 685 0 - 1 26.99\n", "28 1.00 Q19 - N88 15 - 441 0 - 1 27.98\n", "29 0.99 I172 - E130 140 - 483 0 - 1 28.97\n", "30 0.99 Q227 - L117 193 - 470 0 - 1 29.97\n", "31 0.99 R20 - N88 16 - 441 0 - 1 30.96\n", "32 0.99 K34 - L55 30 - 408 0 - 1 31.95\n", "33 0.99 Q236 - K57 202 - 410 0 - 1 32.94\n", "34 0.99 Q19 - T86 15 - 439 0 - 1 33.92\n", "35 0.98 A22 - K89 18 - 442 0 - 1 34.90\n", "36 0.98 R228 - Y145 194 - 498 0 - 1 35.89\n", "37 0.98 F208 - D118 174 - 471 0 - 1 36.87\n", "38 0.98 C237 - L117 203 - 470 0 - 1 37.85\n", "39 0.98 W281 - R314 240 - 667 0 - 1 38.82\n", "40 0.98 I172 - N132 140 - 485 0 - 1 39.80\n", "41 0.98 W234 - Y145 200 - 498 0 - 1 40.77\n", "42 0.97 Q19 - D83 15 - 436 0 - 1 41.74\n", "43 0.97 R42 - W99 38 - 452 0 - 1 42.71\n", "44 0.97 R42 - D76 38 - 429 0 - 1 43.69\n", "45 0.96 D33 - L55 29 - 408 0 - 1 44.65\n", "46 0.96 W234 - L117 200 - 470 0 - 1 45.61\n", "47 0.96 I26 - H91 22 - 444 0 - 1 46.58\n", "48 0.96 E209 - S98 175 - 451 0 - 1 47.54\n", "49 0.94 I172 - R134 140 - 487 0 - 1 48.47\n", "50 0.93 F208 - L117 174 - 470 0 - 1 49.41\n", "51 0.93 Q227 - G144 193 - 497 0 - 1 50.34\n", "52 0.93 N239 - W332 205 - 685 0 - 1 51.27\n", "53 0.92 C237 - M101 203 - 454 0 - 1 52.19\n", "54 0.91 Q19 - R68 15 - 421 0 - 1 53.10\n", "55 0.90 Q19 - V90 15 - 443 0 - 1 54.01\n", "56 0.90 Q170 - R129 138 - 482 0 - 1 54.91\n", "57 0.89 G226 - T143 192 - 496 0 - 1 55.80\n", "58 0.89 W281 - W332 240 - 685 0 - 1 56.69\n", "59 0.87 F208 - N119 174 - 472 0 - 1 57.56\n", "60 0.86 L30 - K89 26 - 442 0 - 1 58.42\n", "61 0.83 Q170 - G131 138 - 484 0 - 1 59.25\n", "62 0.81 A22 - V90 18 - 443 0 - 1 60.06\n", "63 0.80 I26 - V90 22 - 443 0 - 1 60.86\n", "64 0.77 I172 - G131 140 - 484 0 - 1 61.63\n", "65 0.75 E16 - T86 12 - 439 0 - 1 62.39\n", "66 0.70 K233 - Y59 199 - 412 0 - 1 63.09\n", "67 0.66 Q170 - E130 138 - 483 0 - 1 63.75\n", "68 0.63 F222 - D118 188 - 471 0 - 1 64.38\n", "69 0.63 I207 - D118 173 - 471 0 - 1 65.01\n", "70 0.62 L30 - L55 26 - 408 0 - 1 65.63\n", "71 0.61 E15 - R68 11 - 421 0 - 1 66.24\n", "72 0.59 E16 - N88 12 - 441 0 - 1 66.83\n", "73 0.57 W234 - M101 200 - 454 0 - 1 67.40\n", "74 0.54 R232 - D228 198 - 581 0 - 1 67.94\n", "75 0.52 E209 - W99 175 - 452 0 - 1 68.46\n", "76 0.50 Q236 - D290 202 - 643 0 - 1 68.96\n", "77 0.41 E209 - R96 175 - 449 0 - 1 69.38\n", "78 0.39 Q19 - K89 15 - 442 0 - 1 69.76\n", "79 0.37 V241 - W99 207 - 452 0 - 1 70.13\n", "80 0.30 H220 - W99 186 - 452 0 - 1 70.44\n", "81 0.29 L171 - E130 139 - 483 0 - 1 70.72\n", "82 0.26 I207 - I120 173 - 473 0 - 1 70.99\n", "83 0.23 R20 - T86 16 - 439 0 - 1 71.22\n", "84 0.22 K233 - G272 199 - 625 0 - 1 71.44\n", "85 0.22 R201 - E138 169 - 491 0 - 1 71.65\n", "86 0.21 Q227 - T143 193 - 496 0 - 1 71.86\n", "87 0.19 G226 - N119 192 - 472 0 - 1 72.05\n", "88 0.17 R42 - A56 38 - 409 0 - 1 72.22\n", "89 0.16 Q12 - T86 8 - 439 0 - 1 72.37\n", "90 0.14 R42 - L55 38 - 408 0 - 1 72.51\n", "91 0.14 L43 - W99 39 - 452 0 - 1 72.65\n", "92 0.13 R232 - D246 198 - 599 0 - 1 72.78\n", "93 0.12 R232 - C204 198 - 557 0 - 1 72.90\n", "\n", " label freq\n", "1 C237 5.90\n", "2 Q19 5.15\n", "3 Q227 4.13\n", "4 K233 3.92\n", "5 I26 3.76\n", "6 I172 3.68\n", "7 Q236 3.48\n", "8 R228 2.98\n", "9 F208 2.79\n", "10 F222 2.63\n", "11 W234 2.51\n", "12 L30 2.49\n", "13 Q170 2.39\n", "14 R42 2.25\n", "15 F238 2.00\n", "16 N23 2.00\n", "17 D33 1.96\n", "18 E209 1.89\n", "19 W281 1.86\n", "20 A22 1.79\n", "21 E16 1.34\n", "22 R20 1.22\n", "23 R201 1.22\n", "24 G226 1.08\n", "25 Y37 1.00\n", "26 E27 1.00\n", "27 D240 1.00\n", "28 K34 0.99\n", "29 N239 0.93\n", "30 I207 0.90\n", "31 R232 0.79\n", "32 E15 0.61\n", "33 V241 0.37\n", "34 H220 0.30\n", "35 L171 0.29\n", "36 Q12 0.16\n", "37 L43 0.14\n", "\n", " label freq\n", "1 L117 5.87\n", "2 W99 5.30\n", "3 K89 5.23\n", "4 L55 3.71\n", "5 N88 3.58\n", "6 K57 2.99\n", "7 Y145 2.96\n", "8 W332 2.81\n", "9 Y59 2.70\n", "10 V90 2.51\n", "11 D118 2.25\n", "12 T86 2.12\n", "13 N119 2.06\n", "14 E130 1.94\n", "15 G131 1.60\n", "16 R68 1.52\n", "17 D290 1.50\n", "18 M101 1.49\n", "19 R96 1.41\n", "20 D246 1.13\n", "21 T143 1.10\n", "22 G162 1.00\n", "23 D186 1.00\n", "24 N230 1.00\n", "25 K78 1.00\n", "26 G53 1.00\n", "27 Q75 1.00\n", "28 A92 1.00\n", "29 R314 0.98\n", "30 N132 0.98\n", "31 D83 0.97\n", "32 D76 0.97\n", "33 H91 0.96\n", "34 S98 0.96\n", "35 R134 0.94\n", "36 G144 0.93\n", "37 R129 0.90\n", "38 D228 0.54\n", "39 I120 0.26\n", "40 G272 0.22\n", "41 E138 0.22\n", "42 A56 0.17\n", "43 C204 0.12\n", "\n" ] }, { "data": { "image/png": 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"text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "intf = mdciao.cli.interface(\"mdciao_example/traj.xtc\", topology=\"mdciao_example/top.pdb\", \n", " no_disk=True, interface_selection_1=[0], interface_selection_2=[1], \n", " ctc_control=1.0, \n", " figures=False);\n", "intf.plot_freqs_as_bars(4.5, shorten_AAs=True, defrag=\"@\", cumsum=True);" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "The output\n", "```\n", "The following 93 contacts capture 72.90 (~98%) of the total frequency 74.50 (over 138 contacts with nonzero frequency at 4.50 Angstrom).\n", "As orientation value, the first 73 ctcs already capture 90.0% of 74.50.\n", "The 73-th contact has a frequency of 0.57\n", "```\n", "let's us know that ignoring frequencies < .1 reduces the full list from 138 to 93 entries while keeping ca 98% of $\\Sigma_t$. In this case, even if we have `ctc_control=1.0` we don't get 100% of the freqs reported (only 98%) because the `min_freq=0.1` (default value) is causing the loss of %2 of contacts all of which have frequencies below 10%." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Interfaces: `self_interface`\n", "\n", "From the docs of [mdciao.cli.interface](https://proteinformatics.uni-leipzig.de/mdciao/api/generated/generated/mdciao.cli.interface.html#mdciao.cli.interface):\n", " \n", " Note\n", " ----\n", " If your definitions of `interface_selection_1` and\n", " `interface_selection_2` lead to some overlap between\n", " the interface members (see below), mdciao's default\n", " is to ignore contact pairs within the same fragment.\n", " E.g., in the context of a GPCR, computing\n", " \"TM3\" vs \"TM*\" (\"TM3\" vs \"all TMs\") won't include\n", " TM3-TM3 contacts by default. To include these\n", " (or equivalent) contacts set `self_interface` = True.\n", "\n", " Another example could be computing the interface of\n", " C-terminus of a receptor with the entire receptor,\n", " where it might be useful to include the contacts of\n", " the C-terminus with itself.\n", "\n", " When using `self_interface` = True, it's advisable to\n", " increase `n_nearest`, since otherwise neighboring\n", " residues of the shared set (the TM3-TM3 or the Cterm-Cterm)\n", " will always appear as formed.\n", "\n", "\n", "We can compute the self contacts of the $\\alpha$5-helix of the G-protein. Whereas most of the helix is straight, the C-terminal bends a bit backwards and interacts with itself:" ] }, { "cell_type": "code", "execution_count": 11, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Will compute contact frequencies for trajectories:\n", "mdciao_example/traj.xtc\n", " with a stride of 1 frames\n", "Using method 'resSeq+' these fragments were found\n", "fragment 0 with 354 AAs LEU4 ( 0) - LEU394 (353 ) (0) resSeq jumps\n", "fragment 1 with 340 AAs GLN1 ( 354) - ASN340 (693 ) (1)\n", "fragment 2 with 66 AAs ALA2 ( 694) - PHE67 (759 ) (2)\n", "fragment 3 with 284 AAs GLU30 ( 760) - P0G395 (1043) (3) resSeq jumps\n", "No local file ./adrb2_human.xlsx found, checking online in\n", "https://gpcrdb.org/services/residues/extended/adrb2_human ...done!\n", "Please cite the following reference to the GPCRdb:\n", " * Kooistra et al, (2021) GPCRdb in 2021: Integrating GPCR sequence, structure and function\n", " Nucleic Acids Research 49, D335--D343\n", " https://doi.org/10.1093/nar/gkaa1080\n", "For more information, call mdciao.nomenclature.references()\n", "The GPCR-labels align best with fragments: [3] (first-last: GLU30-P0G395).\n", "\n", "Mapping the GPCR fragments onto your topology:\n", " TM1 with 32 AAs GLU30@1.29x29 ( 760) - PHE61@1.60x60 (791 ) (TM1)\n", " ICL1 with 4 AAs GLU62@12.48x48 ( 792) - GLN65@12.51x51 (795 ) (ICL1)\n", " TM2 with 32 AAs THR66@2.37x37 ( 796) - LYS97@2.68x67 (827 ) (TM2)\n", " ECL1 with 4 AAs MET98@23.49x49 ( 828) - PHE101@23.52x52 (831 ) (ECL1)\n", " TM3 with 36 AAs GLY102@3.21x21 ( 832) - SER137@3.56x56 (867 ) (TM3)\n", " ICL2 with 8 AAs PRO138@34.50x50 ( 868) - LEU145@34.57x57 (875 ) (ICL2)\n", " TM4 with 27 AAs THR146@4.38x38 ( 876) - HIS172@4.64x64 (902 ) (TM4)\n", " ECL2 with 20 AAs TRP173 ( 903) - THR195 (922 ) (ECL2) resSeq jumps\n", " TM5 with 42 AAs ASN196@5.35x36 ( 923) - GLU237@5.76x76 (964 ) (TM5)\n", " ICL3 with 2 AAs GLY238 ( 965) - ARG239 (966 ) (ICL3)\n", " TM6 with 35 AAs CYS265@6.27x27 ( 967) - GLN299@6.61x61 (1001) (TM6)\n", " ECL3 with 4 AAs ASP300 (1002) - ILE303 (1005) (ECL3)\n", " TM7 with 25 AAs ARG304@7.31x30 (1006) - ARG328@7.55x55 (1030) (TM7)\n", " H8 with 12 AAs SER329@8.47x47 (1031) - LEU340@8.58x58 (1042) (H8)\n", "No local file ./gnas2_human.xlsx found, checking online in\n", "https://gpcrdb.org/services/residues/extended/gnas2_human ...done!\n", "Please cite the following reference to the GPCRdb:\n", " * Kooistra et al, (2021) GPCRdb in 2021: Integrating GPCR sequence, structure and function\n", " Nucleic Acids Research 49, D335--D343\n", " https://doi.org/10.1093/nar/gkaa1080\n", "Please cite the following reference to the CGN nomenclature:\n", " * Flock et al, (2015) Universal allosteric mechanism for G$\\alpha$ activation by GPCRs\n", " Nature 2015 524:7564 524, 173--179\n", " https://doi.org/10.1038/nature14663\n", "For more information, call mdciao.nomenclature.references()\n", "The CGN-labels align best with fragments: [0] (first-last: LEU4-LEU394).\n", "\n", "Mapping the CGN fragments onto your topology:\n", " G.HN with 33 AAs LEU4@G.HN.10 ( 0) - VAL36@G.HN.53 (32 ) (G.HN)\n", " G.hns1 with 3 AAs TYR37@G.hns1.01 ( 33) - ALA39@G.hns1.03 (35 ) (G.hns1)\n", " G.S1 with 7 AAs THR40@G.S1.01 ( 36) - LEU46@G.S1.07 (42 ) (G.S1)\n", " G.s1h1 with 6 AAs GLY47@G.s1h1.01 ( 43) - GLY52@G.s1h1.06 (48 ) (G.s1h1)\n", " G.H1 with 7 AAs LYS53@G.H1.01 ( 49) - GLN59@G.H1.07 (55 ) (G.H1)\n", " H.HA with 26 AAs LYS88@H.HA.04 ( 56) - LEU113@H.HA.29 (81 ) (H.HA)\n", " H.hahb with 9 AAs VAL114@H.hahb.01 ( 82) - PRO122@H.hahb.09 (90 ) (H.hahb)\n", " H.HB with 14 AAs GLU123@H.HB.01 ( 91) - ASN136@H.HB.14 (104 ) (H.HB)\n", " H.hbhc with 7 AAs VAL137@H.hbhc.01 ( 105) - PRO143@H.hbhc.15 (111 ) (H.hbhc)\n", " H.HC with 12 AAs PRO144@H.HC.01 ( 112) - GLU155@H.HC.12 (123 ) (H.HC)\n", " H.hchd with 1 AAs ASP156@H.hchd.01 ( 124) - ASP156@H.hchd.01 (124 ) (H.hchd)\n", " H.HD with 12 AAs GLU157@H.HD.01 ( 125) - GLU168@H.HD.12 (136 ) (H.HD)\n", " H.hdhe with 5 AAs TYR169@H.hdhe.01 ( 137) - ASP173@H.hdhe.05 (141 ) (H.hdhe)\n", " H.HE with 13 AAs CYS174@H.HE.01 ( 142) - LYS186@H.HE.13 (154 ) (H.HE)\n", " H.hehf with 7 AAs GLN187@H.hehf.01 ( 155) - SER193@H.hehf.07 (161 ) (H.hehf)\n", " H.HF with 6 AAs ASP194@H.HF.01 ( 162) - ARG199@H.HF.06 (167 ) (H.HF)\n", " G.hfs2 with 5 AAs CYS200@G.hfs2.01 ( 168) - GLY206@G.hfs2.07 (172 ) (G.hfs2) resSeq jumps\n", " G.S2 with 8 AAs ILE207@G.S2.01 ( 173) - VAL214@G.S2.08 (180 ) (G.S2)\n", " G.s2s3 with 2 AAs ASP215@G.s2s3.01 ( 181) - LYS216@G.s2s3.02 (182 ) (G.s2s3)\n", " G.S3 with 8 AAs VAL217@G.S3.01 ( 183) - VAL224@G.S3.08 (190 ) (G.S3)\n", " G.s3h2 with 3 AAs GLY225@G.s3h2.01 ( 191) - GLN227@G.s3h2.03 (193 ) (G.s3h2)\n", " G.H2 with 10 AAs ARG228@G.H2.01 ( 194) - CYS237@G.H2.10 (203 ) (G.H2)\n", " G.h2s4 with 5 AAs PHE238@G.h2s4.01 ( 204) - THR242@G.h2s4.05 (208 ) (G.h2s4)\n", " G.S4 with 7 AAs ALA243@G.S4.01 ( 209) - ALA249@G.S4.07 (215 ) (G.S4)\n", " G.s4h3 with 8 AAs SER250@G.s4h3.01 ( 216) - ASN264@G.s4h3.15 (223 ) (G.s4h3) resSeq jumps\n", " G.H3 with 18 AAs ARG265@G.H3.01 ( 224) - LEU282@G.H3.18 (241 ) (G.H3)\n", " G.h3s5 with 3 AAs ARG283@G.h3s5.01 ( 242) - ILE285@G.h3s5.03 (244 ) (G.h3s5)\n", " G.S5 with 7 AAs SER286@G.S5.01 ( 245) - ASN292@G.S5.07 (251 ) (G.S5)\n", " G.s5hg with 1 AAs LYS293@G.s5hg.01 ( 252) - LYS293@G.s5hg.01 (252 ) (G.s5hg)\n", " G.HG with 17 AAs GLN294@G.HG.01 ( 253) - ASP310@G.HG.17 (269 ) (G.HG)\n", " G.hgh4 with 21 AAs TYR311@G.hgh4.01 ( 270) - ASP331@G.hgh4.21 (290 ) (G.hgh4)\n", " G.H4 with 16 AAs PRO332@G.H4.01 ( 291) - ARG347@G.H4.17 (306 ) (G.H4)\n", " G.h4s6 with 11 AAs ILE348@G.h4s6.01 ( 307) - TYR358@G.h4s6.20 (317 ) (G.h4s6)\n", " G.S6 with 5 AAs CYS359@G.S6.01 ( 318) - PHE363@G.S6.05 (322 ) (G.S6)\n", " G.s6h5 with 5 AAs THR364@G.s6h5.01 ( 323) - ASP368@G.s6h5.05 (327 ) (G.s6h5)\n", " G.H5 with 26 AAs THR369@G.H5.01 ( 328) - LEU394@G.H5.26 (353 ) (G.H5)\n", "Select group 1: G.H5\n", "Select group 2: G.H5\n", "\n", "Excluding contacts between 4 nearest neighbors reduces from 325 to 231 residue pairs. Use 'n_nearest' to control this (94 residue pairs discarded).\n", "\n", "Will look for contacts in the interface between fragments\n", "G.H5\n", "and\n", "G.H5. \n", "\n", "Performing a first pass on the 231 group_1-group_2 residue pairs to compute lower bounds on residue-residue distances via residue-COM distances.\n" ] }, { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "24645b47ec854803a2e8b5d930ba12d0", "version_major": 2, "version_minor": 0 }, "text/plain": [ "HTML(value='')" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "352a1cf152e84249b5ab09b387fa27d2", "version_major": 2, "version_minor": 0 }, "text/plain": [ "Textarea(value='Processing trajectories: 0/1 [ 0%]. Frames processed: 0. Elapsed time: hh:mm:ss. Remai…" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Reduced to only 95 (from 231) residue pairs for the computation of actual residue-residue distances:\n" ] }, { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "eb221cee22014b78bfcca81c6251fde3", "version_major": 2, "version_minor": 0 }, "text/plain": [ "HTML(value='')" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "7ee9efbed3e749a6a358329bc9c02189", "version_major": 2, "version_minor": 0 }, "text/plain": [ "Textarea(value='Processing trajectories: 0/1 [ 0%]. Frames processed: 0. Elapsed time: hh:mm:ss. Remai…" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "The following 4 contacts capture 3.97 (~100%) of the total frequency 3.99 (over 7 contacts with nonzero frequency at 4.50 Angstrom).\n", "As orientation value, the first 4 ctcs already capture 90.0% of 3.99.\n", "The 4-th contact has a frequency of 0.97.\n", "\n", " freq label residues fragments sum\n", "1 1.00 R389@G.H5.21 - L394@G.H5.26 348 - 353 0 - 0 1.00\n", "2 1.00 L388@G.H5.20 - L394@G.H5.26 347 - 353 0 - 0 2.00\n", "3 1.00 L388@G.H5.20 - L393@G.H5.25 347 - 352 0 - 0 3.00\n", "4 0.97 R385@G.H5.17 - L394@G.H5.26 344 - 353 0 - 0 3.97\n", "\n", " label freq\n", "1 L394@G.H5.26 2.97\n", "2 L388@G.H5.20 2.00\n", "3 R389@G.H5.21 1.00\n", "4 L393@G.H5.25 1.00\n", "5 R385@G.H5.17 0.97\n", "\n" ] }, { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "intf = mdciao.cli.interface(\"mdciao_example/traj.xtc\", topology=\"mdciao_example/top.pdb\",\n", " fragments=\"consensus\",accept_guess=True,\n", " no_disk=True, interface_selection_1=\"G.H5\", interface_selection_2=\"G.H5\", \n", " ctc_control=1.0, \n", " GPCR_UniProt=\"adrb2_human\",CGN_UniProt=\"gnas2_human\",\n", " self_interface=True,\n", " #min_freq=0,\n", " n_nearest=4,\n", " figures=False)\n", "intf.plot_freqs_as_bars(4.5, shorten_AAs=True, plot_atomtypes=True);" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "These are the contacts associated with the C-terminus of $\\alpha$5 bending back and interacting with itself:\n", "```\n", " freq label residues fragments sum\n", "1 1.00 R389@G.H5.21 - L394@G.H5.26 348 - 353 0 - 0 1.00\n", "2 1.00 L388@G.H5.20 - L394@G.H5.26 347 - 353 0 - 0 2.00\n", "3 1.00 L388@G.H5.20 - L393@G.H5.25 347 - 352 0 - 0 3.00\n", "4 0.97 R385@G.H5.17 - L394@G.H5.26 344 - 353 0 - 0 3.97\n", "```\n", "We have also ploted them also as bars, including the atom-types. " ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Interfaces: `AA_selection`\n", "If the `fragments` themselves are still too broad a definition, one can select a sub-set of aminoacids of those fragments via `AA_selection`:\n", "\n", "From the [docs](https://proteinformatics.uni-leipzig.de/mdciao/api/generated/generated/mdciao.cli.interface.html)\n", "```\n", " AA_selection : str or list, default is None\n", " Whatever the fragment definition and fragment selection\n", " has been, one can further refine the list of\n", " potential residue pairs by making a selection at\n", " the level of single aminoacids (AAs).\n", " E.g., if (like above) one has selected the interface\n", " to be \"TM3\" vs \"TM2\",\n", "\n", " >>> interface_selection_1=\"TM3\"\n", " >>> interface_selection_2=\"TM2\"\n", "\n", " but wants to select only some regions of those helices,\n", " one can pass here an `AA_selection`.\n", "```\n", "Please read the rest of the docs, since the parameter has more options than the ones we're about to use.\n", "\n", "Here, we define the interface as contacts of the $\\alpha$5-helix of the G-protein with the TM-bundle, using \n", "\n", "```no_disk=True, interface_selection_1=\"G.H5\", interface_selection_2=\"TM*\"```\n", "\n", "and then use \n", "\n", "```AA_selection=\"390-394\"``` \n", "\n", "to select the C-terminal *tip* of $\\alpha$5. You can look the $\\alpha$5 definition from the output a couple of cells above \n", "```G.H5 with 26 AAs THR369@G.H5.01 ( 328) - LEU394@G.H5.26 (353 ) (G.H5) ```" ] }, { "cell_type": "code", "execution_count": 12, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Will compute contact frequencies for trajectories:\n", "mdciao_example/traj.xtc\n", " with a stride of 1 frames\n", "Using method 'resSeq+' these fragments were found\n", "fragment 0 with 354 AAs LEU4 ( 0) - LEU394 (353 ) (0) resSeq jumps\n", "fragment 1 with 340 AAs GLN1 ( 354) - ASN340 (693 ) (1)\n", "fragment 2 with 66 AAs ALA2 ( 694) - PHE67 (759 ) (2)\n", "fragment 3 with 284 AAs GLU30 ( 760) - P0G395 (1043) (3) resSeq jumps\n", "No local file ./adrb2_human.xlsx found, checking online in\n", "https://gpcrdb.org/services/residues/extended/adrb2_human ...done!\n", "Please cite the following reference to the GPCRdb:\n", " * Kooistra et al, (2021) GPCRdb in 2021: Integrating GPCR sequence, structure and function\n", " Nucleic Acids Research 49, D335--D343\n", " https://doi.org/10.1093/nar/gkaa1080\n", "For more information, call mdciao.nomenclature.references()\n", "The GPCR-labels align best with fragments: [3] (first-last: GLU30-P0G395).\n", "\n", "Mapping the GPCR fragments onto your topology:\n", " TM1 with 32 AAs GLU30@1.29x29 ( 760) - PHE61@1.60x60 (791 ) (TM1)\n", " ICL1 with 4 AAs GLU62@12.48x48 ( 792) - GLN65@12.51x51 (795 ) (ICL1)\n", " TM2 with 32 AAs THR66@2.37x37 ( 796) - LYS97@2.68x67 (827 ) (TM2)\n", " ECL1 with 4 AAs MET98@23.49x49 ( 828) - PHE101@23.52x52 (831 ) (ECL1)\n", " TM3 with 36 AAs GLY102@3.21x21 ( 832) - SER137@3.56x56 (867 ) (TM3)\n", " ICL2 with 8 AAs PRO138@34.50x50 ( 868) - LEU145@34.57x57 (875 ) (ICL2)\n", " TM4 with 27 AAs THR146@4.38x38 ( 876) - HIS172@4.64x64 (902 ) (TM4)\n", " ECL2 with 20 AAs TRP173 ( 903) - THR195 (922 ) (ECL2) resSeq jumps\n", " TM5 with 42 AAs ASN196@5.35x36 ( 923) - GLU237@5.76x76 (964 ) (TM5)\n", " ICL3 with 2 AAs GLY238 ( 965) - ARG239 (966 ) (ICL3)\n", " TM6 with 35 AAs CYS265@6.27x27 ( 967) - GLN299@6.61x61 (1001) (TM6)\n", " ECL3 with 4 AAs ASP300 (1002) - ILE303 (1005) (ECL3)\n", " TM7 with 25 AAs ARG304@7.31x30 (1006) - ARG328@7.55x55 (1030) (TM7)\n", " H8 with 12 AAs SER329@8.47x47 (1031) - LEU340@8.58x58 (1042) (H8)\n", "No local file ./gnas2_human.xlsx found, checking online in\n", "https://gpcrdb.org/services/residues/extended/gnas2_human ...done!\n", "Please cite the following reference to the GPCRdb:\n", " * Kooistra et al, (2021) GPCRdb in 2021: Integrating GPCR sequence, structure and function\n", " Nucleic Acids Research 49, D335--D343\n", " https://doi.org/10.1093/nar/gkaa1080\n", "Please cite the following reference to the CGN nomenclature:\n", " * Flock et al, (2015) Universal allosteric mechanism for G$\\alpha$ activation by GPCRs\n", " Nature 2015 524:7564 524, 173--179\n", " https://doi.org/10.1038/nature14663\n", "For more information, call mdciao.nomenclature.references()\n", "The CGN-labels align best with fragments: [0] (first-last: LEU4-LEU394).\n", "\n", "Mapping the CGN fragments onto your topology:\n", " G.HN with 33 AAs LEU4@G.HN.10 ( 0) - VAL36@G.HN.53 (32 ) (G.HN)\n", " G.hns1 with 3 AAs TYR37@G.hns1.01 ( 33) - ALA39@G.hns1.03 (35 ) (G.hns1)\n", " G.S1 with 7 AAs THR40@G.S1.01 ( 36) - LEU46@G.S1.07 (42 ) (G.S1)\n", " G.s1h1 with 6 AAs GLY47@G.s1h1.01 ( 43) - GLY52@G.s1h1.06 (48 ) (G.s1h1)\n", " G.H1 with 7 AAs LYS53@G.H1.01 ( 49) - GLN59@G.H1.07 (55 ) (G.H1)\n", " H.HA with 26 AAs LYS88@H.HA.04 ( 56) - LEU113@H.HA.29 (81 ) (H.HA)\n", " H.hahb with 9 AAs VAL114@H.hahb.01 ( 82) - PRO122@H.hahb.09 (90 ) (H.hahb)\n", " H.HB with 14 AAs GLU123@H.HB.01 ( 91) - ASN136@H.HB.14 (104 ) (H.HB)\n", " H.hbhc with 7 AAs VAL137@H.hbhc.01 ( 105) - PRO143@H.hbhc.15 (111 ) (H.hbhc)\n", " H.HC with 12 AAs PRO144@H.HC.01 ( 112) - GLU155@H.HC.12 (123 ) (H.HC)\n", " H.hchd with 1 AAs ASP156@H.hchd.01 ( 124) - ASP156@H.hchd.01 (124 ) (H.hchd)\n", " H.HD with 12 AAs GLU157@H.HD.01 ( 125) - GLU168@H.HD.12 (136 ) (H.HD)\n", " H.hdhe with 5 AAs TYR169@H.hdhe.01 ( 137) - ASP173@H.hdhe.05 (141 ) (H.hdhe)\n", " H.HE with 13 AAs CYS174@H.HE.01 ( 142) - LYS186@H.HE.13 (154 ) (H.HE)\n", " H.hehf with 7 AAs GLN187@H.hehf.01 ( 155) - SER193@H.hehf.07 (161 ) (H.hehf)\n", " H.HF with 6 AAs ASP194@H.HF.01 ( 162) - ARG199@H.HF.06 (167 ) (H.HF)\n", " G.hfs2 with 5 AAs CYS200@G.hfs2.01 ( 168) - GLY206@G.hfs2.07 (172 ) (G.hfs2) resSeq jumps\n", " G.S2 with 8 AAs ILE207@G.S2.01 ( 173) - VAL214@G.S2.08 (180 ) (G.S2)\n", " G.s2s3 with 2 AAs ASP215@G.s2s3.01 ( 181) - LYS216@G.s2s3.02 (182 ) (G.s2s3)\n", " G.S3 with 8 AAs VAL217@G.S3.01 ( 183) - VAL224@G.S3.08 (190 ) (G.S3)\n", " G.s3h2 with 3 AAs GLY225@G.s3h2.01 ( 191) - GLN227@G.s3h2.03 (193 ) (G.s3h2)\n", " G.H2 with 10 AAs ARG228@G.H2.01 ( 194) - CYS237@G.H2.10 (203 ) (G.H2)\n", " G.h2s4 with 5 AAs PHE238@G.h2s4.01 ( 204) - THR242@G.h2s4.05 (208 ) (G.h2s4)\n", " G.S4 with 7 AAs ALA243@G.S4.01 ( 209) - ALA249@G.S4.07 (215 ) (G.S4)\n", " G.s4h3 with 8 AAs SER250@G.s4h3.01 ( 216) - ASN264@G.s4h3.15 (223 ) (G.s4h3) resSeq jumps\n", " G.H3 with 18 AAs ARG265@G.H3.01 ( 224) - LEU282@G.H3.18 (241 ) (G.H3)\n", " G.h3s5 with 3 AAs ARG283@G.h3s5.01 ( 242) - ILE285@G.h3s5.03 (244 ) (G.h3s5)\n", " G.S5 with 7 AAs SER286@G.S5.01 ( 245) - ASN292@G.S5.07 (251 ) (G.S5)\n", " G.s5hg with 1 AAs LYS293@G.s5hg.01 ( 252) - LYS293@G.s5hg.01 (252 ) (G.s5hg)\n", " G.HG with 17 AAs GLN294@G.HG.01 ( 253) - ASP310@G.HG.17 (269 ) (G.HG)\n", " G.hgh4 with 21 AAs TYR311@G.hgh4.01 ( 270) - ASP331@G.hgh4.21 (290 ) (G.hgh4)\n", " G.H4 with 16 AAs PRO332@G.H4.01 ( 291) - ARG347@G.H4.17 (306 ) (G.H4)\n", " G.h4s6 with 11 AAs ILE348@G.h4s6.01 ( 307) - TYR358@G.h4s6.20 (317 ) (G.h4s6)\n", " G.S6 with 5 AAs CYS359@G.S6.01 ( 318) - PHE363@G.S6.05 (322 ) (G.S6)\n", " G.s6h5 with 5 AAs THR364@G.s6h5.01 ( 323) - ASP368@G.s6h5.05 (327 ) (G.s6h5)\n", " G.H5 with 26 AAs THR369@G.H5.01 ( 328) - LEU394@G.H5.26 (353 ) (G.H5)\n", "Select group 1: G.H5\n", "Select group 2: TM1, TM2, TM3, TM4, TM5, TM6, TM7\n", "\n", "Will look for contacts in the interface between fragments\n", "G.H5\n", "and\n", "TM1, TM2, TM3, TM4, TM5, TM6, TM7. \n", "\n", "Excluding residue pairs not involving residues '390-394' (5 AAs) reduces from 5954 to 1145 residue pairs.\n", "\n", "Performing a first pass on the 1145 group_1-group_2 residue pairs to compute lower bounds on residue-residue distances via residue-COM distances.\n" ] }, { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "fbac2bce3d6e45c3a7f015b0eac82670", "version_major": 2, "version_minor": 0 }, "text/plain": [ "HTML(value='')" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "677326617c2b4033962c9827f02f7348", "version_major": 2, "version_minor": 0 }, "text/plain": [ "Textarea(value='Processing trajectories: 0/1 [ 0%]. Frames processed: 0. Elapsed time: hh:mm:ss. Remai…" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Reduced to only 165 (from 1145) residue pairs for the computation of actual residue-residue distances:\n" ] }, { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "de93e8897ba44673949598939a7019e6", "version_major": 2, "version_minor": 0 }, "text/plain": [ "HTML(value='')" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "abd2228e58ab4c0d8e00e9ee9011dbe9", "version_major": 2, "version_minor": 0 }, "text/plain": [ "Textarea(value='Processing trajectories: 0/1 [ 0%]. Frames processed: 0. Elapsed time: hh:mm:ss. Remai…" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "The following 18 contacts capture 13.40 (~98%) of the total frequency 13.64 (over 25 contacts with nonzero frequency at 4.50 Angstrom).\n", "As orientation value, the first 14 ctcs already capture 90.0% of 13.64.\n", "The 14-th contact has a frequency of 0.52.\n", "\n", " freq label residues fragments sum \n", "1 1.00 E392@G.H5.24 - T274@6.36x36 351 - 976 0 - 3 1.00\n", "2 1.00 L393@G.H5.25 - L275@6.37x37 352 - 977 0 - 3 2.00\n", "3 0.99 L393@G.H5.25 - V222@5.61x61 352 - 949 0 - 3 2.99\n", "4 0.99 L393@G.H5.25 - A271@6.33x33 352 - 973 0 - 3 3.98\n", "5 0.99 Y391@G.H5.23 - R131@3.50x50 350 - 861 0 - 3 4.97\n", "6 0.97 L394@G.H5.26 - L230@5.69x69 353 - 957 0 - 3 5.94\n", "7 0.96 Y391@G.H5.23 - T274@6.36x36 350 - 976 0 - 3 6.90\n", "8 0.96 Y391@G.H5.23 - I135@3.54x54 350 - 865 0 - 3 7.86\n", "9 0.94 L393@G.H5.25 - T274@6.36x36 352 - 976 0 - 3 8.80\n", "10 0.82 E392@G.H5.24 - K270@6.32x32 351 - 972 0 - 3 9.62\n", "11 0.80 L394@G.H5.26 - I233@5.72x72 353 - 960 0 - 3 10.42\n", "12 0.79 L393@G.H5.25 - I135@3.54x54 352 - 865 0 - 3 11.21\n", "13 0.71 Y391@G.H5.23 - A134@3.53x53 350 - 864 0 - 3 11.92\n", "14 0.52 L394@G.H5.26 - K270@6.32x32 353 - 972 0 - 3 12.44\n", "15 0.31 L393@G.H5.25 - K270@6.32x32 352 - 972 0 - 3 12.75\n", "16 0.30 L393@G.H5.25 - K267@6.29x29 352 - 969 0 - 3 13.05\n", "17 0.22 L393@G.H5.25 - A226@5.65x65 352 - 953 0 - 3 13.27\n", "18 0.13 L394@G.H5.26 - K267@6.29x29 353 - 969 0 - 3 13.40\n", "\n", " label freq\n", "1 L393@G.H5.25 5.54\n", "2 Y391@G.H5.23 3.62\n", "3 L394@G.H5.26 2.42\n", "4 E392@G.H5.24 1.82\n", "\n", " label freq\n", "1 T274@6.36x36 2.90\n", "2 I135@3.54x54 1.75\n", "3 K270@6.32x32 1.65\n", "4 L275@6.37x37 1.00\n", "5 V222@5.61x61 0.99\n", "6 A271@6.33x33 0.99\n", "7 R131@3.50x50 0.99\n", "8 L230@5.69x69 0.97\n", "9 I233@5.72x72 0.80\n", "10 A134@3.53x53 0.71\n", "11 K267@6.29x29 0.43\n", "12 A226@5.65x65 0.22\n", "\n" ] }, { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "intf = mdciao.cli.interface(\"mdciao_example/traj.xtc\", topology=\"mdciao_example/top.pdb\",\n", " fragments=\"consensus\",accept_guess=True,\n", " no_disk=True, interface_selection_1=\"G.H5\", interface_selection_2=\"TM*\", \n", " ctc_control=1.0, \n", " GPCR_UniProt=\"adrb2_human\",CGN_UniProt=\"gnas2_human\",\n", " n_nearest=4,\n", " AA_selection=\"390-394\",\n", " figures=False)\n", "intf.plot_freqs_as_bars(4.5, shorten_AAs=True, plot_atomtypes=True);" ] }, { "cell_type": "markdown", "metadata": { "tags": [] }, "source": [ "## Finally\n", "Some of these parameters/criteria appear in other places in ``mdciao``, not only at the moment of computing the distances, but also at the moment of showing them. E.g., the method [mdciao.flare.freqs2flare](https://proteinformatics.uni-leipzig.de/mdciao/api/generated/generated/mdciao.flare.freqs2flare.html) automatically hides neighboring contacts via the ``exclude_neighbors = 1`` parameter.\n", "\n", "So, if at any moment you miss some contact in the reports (graphical or otherwise), check if some of the parameters above are at play." ] } ], "metadata": { "kernelspec": { "display_name": "Python 3 (ipykernel)", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.11.8" }, "toc-autonumbering": true, "widgets": { "application/vnd.jupyter.widget-state+json": { "state": { "013b23c8ecde4195a8e67199973794ec": { "model_module": "@jupyter-widgets/controls", "model_module_version": "2.0.0", "model_name": "HTMLModel", "state": { "layout": "IPY_MODEL_7d77269a007144b298bbf85a19614624", "style": "IPY_MODEL_75b1d3388ddc4d6eaf8c5adc3e22976d", "value": "" } }, "024da2a27a8a453981570f47a6038527": { "model_module": "@jupyter-widgets/controls", "model_module_version": "2.0.0", "model_name": "TextStyleModel", "state": { "description_width": "", "font_size": null, "text_color": null } }, "02d15bed44b74032862faafc36ee1e72": { "model_module": "@jupyter-widgets/controls", "model_module_version": "2.0.0", "model_name": "TextStyleModel", "state": { "description_width": "", "font_size": null, "text_color": null } }, "0494809a877a4ee1b991731cfb278d6b": { "model_module": "@jupyter-widgets/controls", "model_module_version": "2.0.0", "model_name": "TextareaModel", "state": { "_dom_classes": [ "no-border" ], "layout": "IPY_MODEL_116e405fa48c4b84b6fd1766cae195ee", "rows": 2, "style": "IPY_MODEL_1b8d147990784828b32264118e5331a5", "value": "Processing trajectories: 1/1 [100%]. 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Now at chunk nr 0, frames so far 280 (done)" } }, "43bacbeee575474bad3e4da1de3eefde": { "model_module": "@jupyter-widgets/controls", "model_module_version": "2.0.0", "model_name": "HTMLModel", "state": { "layout": "IPY_MODEL_4fe88c7878be4c0187b99203c79f2caf", "style": "IPY_MODEL_b313d4b8550b4d87977da3a9b16b7c3d", "value": "" } }, "43ce495375dc4494b51b6c9854d7c8a2": { "model_module": "@jupyter-widgets/controls", "model_module_version": "2.0.0", "model_name": "HTMLModel", "state": { "layout": "IPY_MODEL_cc2b6a3d860a4f55992f194eb1edf598", "style": "IPY_MODEL_b7d84d22d7534e9a98023ba7d07948ab", "value": "" } }, "43d3e62ba46343d5bca390a94e22bc25": { "model_module": "@jupyter-widgets/controls", "model_module_version": "2.0.0", "model_name": "HTMLModel", "state": { "layout": "IPY_MODEL_c936be41c9cc4a72af17d94cae58a40b", "style": "IPY_MODEL_4a986ab059f44ff39748e2414fa12e99", "value": "" } }, "445ff1d67cb44200ba1b2c92faf9221c": { "model_module": "@jupyter-widgets/controls", "model_module_version": "2.0.0", "model_name": "TextStyleModel", "state": { "description_width": "", "font_size": null, "text_color": null } }, "456c4ad96e934766ba839c6eb9501396": { "model_module": "@jupyter-widgets/controls", "model_module_version": "2.0.0", "model_name": "HTMLStyleModel", "state": { "description_width": "", "font_size": null, "text_color": null } }, "4a04974909a84474bd4bd3dc98771ba0": { "model_module": "@jupyter-widgets/controls", "model_module_version": "2.0.0", "model_name": "HTMLStyleModel", "state": { "description_width": "", "font_size": null, "text_color": null } }, "4a986ab059f44ff39748e2414fa12e99": { "model_module": "@jupyter-widgets/controls", "model_module_version": "2.0.0", "model_name": "HTMLStyleModel", "state": { "description_width": "", "font_size": null, "text_color": null } }, "4ae044e34d9d49b4becf9bb0c9c5f90b": { "model_module": "@jupyter-widgets/controls", "model_module_version": "2.0.0", "model_name": "HTMLModel", "state": { "layout": "IPY_MODEL_896a183fb2cc40fcb3bbd6bacd6a91b1", "style": "IPY_MODEL_1f094bec6ab94eff92d625da5c4d7bc9", "value": "" } }, "4be9482a4a4f4d319169abcc21aac133": { "model_module": "@jupyter-widgets/controls", "model_module_version": "2.0.0", "model_name": "HTMLStyleModel", "state": { "description_width": "", "font_size": null, "text_color": null } }, "4c7516bf64ac441db224ea3efc84d999": { "model_module": "@jupyter-widgets/controls", "model_module_version": "2.0.0", "model_name": "TextareaModel", "state": { "_dom_classes": [ "no-border" ], "layout": "IPY_MODEL_12a22e71b9bd4249a9b3b2f33798e090", "rows": 2, "style": "IPY_MODEL_6ed24512f63c4011b4d6abe33d1370c5", "value": "Processing trajectories: 1/1 [100%]. Frames processed: 280. Elapsed time: 0:00:01. Remaining time ~ 0:00:00. Trajs/s: 2. Frames/s: 738.\nStreaming over trajectory object nr. 0 ( 280 frames, 280.0 with stride 1) in chunks of 2000 frames. 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Elapsed time: 0:00:01. Remaining time ~ 0:00:00. Trajs/s: 2. Frames/s: 733.\nStreaming over trajectory object nr. 0 ( 280 frames, 280.0 with stride 1) in chunks of 2000 frames. Now at chunk nr 0, frames so far 280 (done)" } }, "4f2269ed07d747f19bc660083a94e57b": { "model_module": "@jupyter-widgets/controls", "model_module_version": "2.0.0", "model_name": "TextStyleModel", "state": { "description_width": "", "font_size": null, "text_color": null } }, "4fe88c7878be4c0187b99203c79f2caf": { "model_module": "@jupyter-widgets/base", "model_module_version": "2.0.0", "model_name": "LayoutModel", "state": {} }, "50e509a052054a1fab9ea551e015524e": { "model_module": "@jupyter-widgets/controls", "model_module_version": "2.0.0", "model_name": "TextareaModel", "state": { "_dom_classes": [ "no-border" ], "layout": "IPY_MODEL_dc527774f81e4d7cad1288259616b9c2", "rows": 2, "style": "IPY_MODEL_ef0a0326f08640edb15014589e4f1eeb", "value": "Processing trajectories: 1/1 [100%]. Frames processed: 280. Elapsed time: 0:00:01. Remaining time ~ 0:00:00. Trajs/s: 2. Frames/s: 572.\nStreaming mdciao_example/traj.xtc (nr. 0) with stride 1 in chunks of 2000 frames. Now at chunk nr 0, frames so far 280. (done)" } }, "51d58699f30940e4bca0637627a456d1": { "model_module": "@jupyter-widgets/controls", "model_module_version": "2.0.0", "model_name": "HTMLModel", "state": { "layout": "IPY_MODEL_eb17a3cd409944b2be87a3a1fad64c8f", "style": "IPY_MODEL_456c4ad96e934766ba839c6eb9501396", "value": "" } }, "539d9f19187d4dd79a54ac37b842aaf9": { "model_module": "@jupyter-widgets/base", "model_module_version": "2.0.0", "model_name": "LayoutModel", "state": {} }, "53c26b3e08f948c68217f6220b019681": { "model_module": "@jupyter-widgets/controls", "model_module_version": "2.0.0", "model_name": "HTMLStyleModel", "state": { "description_width": "", "font_size": null, "text_color": null } }, "53f3c6ac07174a3a83c70aee271ec682": { "model_module": "@jupyter-widgets/base", "model_module_version": "2.0.0", "model_name": "LayoutModel", "state": { "width": "163ch" } }, "54269705f1e944e99e700d581670b1bc": { "model_module": "@jupyter-widgets/controls", "model_module_version": "2.0.0", "model_name": "HTMLModel", "state": { "layout": "IPY_MODEL_cc3b814744d84ed29b611bd276083488", "style": "IPY_MODEL_df02decc822c46d8b47886609e821367", "value": "" } }, "54dc1565ce3c44618c62011022afdef9": { "model_module": "@jupyter-widgets/controls", "model_module_version": "2.0.0", "model_name": "HTMLStyleModel", "state": { "description_width": "", "font_size": null, "text_color": null } }, "58d556f8399a4ac9ac537ba6871b7730": { "model_module": "@jupyter-widgets/controls", "model_module_version": "2.0.0", "model_name": "HTMLStyleModel", "state": { "description_width": "", "font_size": null, "text_color": null } }, "58f89847a6b64efc9ccb91a7cb9b43b3": { "model_module": "@jupyter-widgets/controls", "model_module_version": "2.0.0", "model_name": "TextStyleModel", "state": { "description_width": "", "font_size": null, "text_color": null } }, "596818c0bab44a44a490d75409cbe65f": { "model_module": "@jupyter-widgets/controls", "model_module_version": "2.0.0", "model_name": "HTMLStyleModel", "state": { "description_width": "", "font_size": null, "text_color": null } }, "5d7791fbfa8c487fa9e54e53177a5f5b": { "model_module": "@jupyter-widgets/base", "model_module_version": "2.0.0", "model_name": "LayoutModel", "state": {} }, "5e8ca862236f45368bf6e848ddb9504a": { "model_module": "@jupyter-widgets/controls", "model_module_version": "2.0.0", "model_name": "HTMLStyleModel", "state": { "description_width": "", "font_size": null, "text_color": null } }, "5f532c52e71d42af821ea0b29c12bd1b": { "model_module": "@jupyter-widgets/base", "model_module_version": "2.0.0", "model_name": "LayoutModel", "state": { "width": "163ch" } }, "5f88237ee85943a4ab4053695dfa9fc1": { "model_module": "@jupyter-widgets/controls", "model_module_version": "2.0.0", "model_name": "TextStyleModel", "state": { "description_width": "", "font_size": null, "text_color": null } }, "609cecc476274f979bd6fab2b87be65d": { "model_module": "@jupyter-widgets/controls", "model_module_version": "2.0.0", "model_name": "TextareaModel", "state": { "_dom_classes": [ "no-border" ], "layout": "IPY_MODEL_9d7d2503ddb443aa888b14df68d3b69c", "rows": 2, "style": "IPY_MODEL_b4a3ad8168274ecfb2db33d30cd09205", "value": "Processing trajectories: 1/1 [100%]. Frames processed: 280. Elapsed time: 0:00:01. Remaining time ~ 0:00:00. Trajs/s: 2. Frames/s: 1343.\nStreaming over trajectory object nr. 0 ( 280 frames, 280.0 with stride 1) in chunks of 2000 frames. Now at chunk nr 0, frames so far 280 (done)" } }, "612083e4dcac434bad19357814d39016": { "model_module": "@jupyter-widgets/base", "model_module_version": "2.0.0", "model_name": "LayoutModel", "state": { "width": "163ch" } }, "6234429585614d6eacabff4765d37026": { "model_module": "@jupyter-widgets/base", "model_module_version": "2.0.0", "model_name": "LayoutModel", "state": {} }, "63cd755735e348cd80982d8684e35ea3": { "model_module": "@jupyter-widgets/controls", "model_module_version": "2.0.0", "model_name": "TextStyleModel", "state": { "description_width": "", "font_size": null, "text_color": null } }, "64e3233a69da4143bb6eb36ca5284baa": { "model_module": "@jupyter-widgets/controls", "model_module_version": "2.0.0", "model_name": "HTMLStyleModel", "state": { "description_width": "", "font_size": null, "text_color": null } }, "6627445768a045ac87faf58b1e330921": { "model_module": "@jupyter-widgets/controls", "model_module_version": "2.0.0", "model_name": "HTMLStyleModel", "state": { "description_width": "", "font_size": null, "text_color": null } }, "66c97475ad9348c5802f86ccd2fe5975": { "model_module": "@jupyter-widgets/controls", "model_module_version": "2.0.0", "model_name": "TextareaModel", "state": { "_dom_classes": [ "no-border" ], "layout": "IPY_MODEL_19fa3578f492480885730d8288264828", "rows": 2, "style": "IPY_MODEL_11a62e49648b4678ab5b3027cf5d2566", "value": "Processing trajectories: 1/1 [100%]. Frames processed: 280. Elapsed time: 0:00:01. Remaining time ~ 0:00:00. Trajs/s: 2. Frames/s: 2800.\nStreaming over trajectory object nr. 0 ( 280 frames, 280.0 with stride 1) in chunks of 2000 frames. Now at chunk nr 0, frames so far 280 (done)" } }, "677326617c2b4033962c9827f02f7348": { "model_module": "@jupyter-widgets/controls", "model_module_version": "2.0.0", "model_name": "TextareaModel", "state": { "_dom_classes": [ "no-border" ], "layout": "IPY_MODEL_b93267a67d4443ea943afca44fe1267c", "rows": 2, "style": "IPY_MODEL_6ea4d91efcd44706b75dec21af0911ad", "value": "Processing trajectories: 1/1 [100%]. Frames processed: 280. Elapsed time: 0:00:01. Remaining time ~ 0:00:00. Trajs/s: 2. Frames/s: 1096.\nStreaming mdciao_example/traj.xtc (nr. 0) with stride 1 in chunks of 2000 frames. Now at chunk nr 0, frames so far 280. (done)" } }, "67a2b36453864654a1e74fe4b27b2125": { "model_module": "@jupyter-widgets/controls", "model_module_version": "2.0.0", "model_name": "TextareaModel", "state": { "_dom_classes": [ "no-border" ], "layout": "IPY_MODEL_21a7345e65fd459c946e90e6b73c6034", "rows": 2, "style": "IPY_MODEL_d3b8f908f47840f19350a798dd33f226", "value": "Processing trajectories: 1/1 [100%]. Frames processed: 280. Elapsed time: 0:00:01. Remaining time ~ 0:00:00. Trajs/s: 2. Frames/s: 2292.\nStreaming over trajectory object nr. 0 ( 280 frames, 280.0 with stride 1) in chunks of 2000 frames. Now at chunk nr 0, frames so far 280 (done)" } }, "6cffc2a241c945e3a8e95fe529810326": { "model_module": "@jupyter-widgets/base", "model_module_version": "2.0.0", "model_name": "LayoutModel", "state": {} }, "6d6b79e681324f0ba2660b846511a1e2": { "model_module": "@jupyter-widgets/base", "model_module_version": "2.0.0", "model_name": "LayoutModel", "state": {} }, "6e5dcc6079084d8bb0f7a1e898ea6b0d": { "model_module": "@jupyter-widgets/base", "model_module_version": "2.0.0", "model_name": "LayoutModel", "state": {} }, "6ea4d91efcd44706b75dec21af0911ad": { "model_module": "@jupyter-widgets/controls", "model_module_version": "2.0.0", "model_name": "TextStyleModel", "state": { "description_width": "", "font_size": null, "text_color": null } }, "6ed24512f63c4011b4d6abe33d1370c5": { "model_module": "@jupyter-widgets/controls", "model_module_version": "2.0.0", "model_name": "TextStyleModel", "state": { "description_width": "", "font_size": null, "text_color": null } }, "6fe754b350534961b08d357e2c21d08e": { "model_module": "@jupyter-widgets/base", "model_module_version": "2.0.0", "model_name": "LayoutModel", "state": { "width": "163ch" } }, "706f75ca9b1744069db769f2d47dc3b6": { "model_module": "@jupyter-widgets/controls", "model_module_version": "2.0.0", "model_name": "HTMLStyleModel", "state": { "description_width": "", "font_size": null, "text_color": null } }, "716660df95db4113a3af288edcaf526d": { "model_module": "@jupyter-widgets/base", "model_module_version": "2.0.0", "model_name": "LayoutModel", "state": {} }, "71d5cad4a2864fceaf52a3362bf61fb3": { "model_module": "@jupyter-widgets/controls", "model_module_version": "2.0.0", "model_name": "HTMLStyleModel", "state": { "description_width": "", "font_size": null, "text_color": null } }, "75b1d3388ddc4d6eaf8c5adc3e22976d": { "model_module": "@jupyter-widgets/controls", "model_module_version": "2.0.0", "model_name": "HTMLStyleModel", "state": { "description_width": "", "font_size": null, "text_color": null } }, "75fed079c19349069fd8baba7d9af533": { "model_module": "@jupyter-widgets/controls", "model_module_version": "2.0.0", "model_name": "HTMLModel", "state": { "layout": "IPY_MODEL_6e5dcc6079084d8bb0f7a1e898ea6b0d", "style": "IPY_MODEL_5e8ca862236f45368bf6e848ddb9504a", "value": "" } }, "765fa25826934966ba3c2a4bf9455814": { "model_module": "@jupyter-widgets/controls", "model_module_version": "2.0.0", "model_name": "TextareaModel", "state": { "_dom_classes": [ "no-border" ], "layout": "IPY_MODEL_3fc469cb7f3b45d8ac6734694baea79d", "rows": 2, "style": "IPY_MODEL_8c20880037a44a9a9272840e04fa9ebc", "value": "Processing trajectories: 1/1 [100%]. Frames processed: 280. Elapsed time: 0:00:01. Remaining time ~ 0:00:00. Trajs/s: 2. Frames/s: 2559.\nStreaming over trajectory object nr. 0 ( 280 frames, 280.0 with stride 1) in chunks of 2000 frames. Now at chunk nr 0, frames so far 280 (done)" } }, "766072eb8bf1473793e916f9a91082ab": { "model_module": "@jupyter-widgets/controls", "model_module_version": "2.0.0", "model_name": "TextStyleModel", "state": { "description_width": "", "font_size": null, "text_color": null } }, "783e73c323924e2a970dc0cffa410f7a": { "model_module": "@jupyter-widgets/controls", "model_module_version": "2.0.0", "model_name": "HTMLModel", "state": { "layout": "IPY_MODEL_6234429585614d6eacabff4765d37026", "style": "IPY_MODEL_64e3233a69da4143bb6eb36ca5284baa", "value": "" } }, "78f76d517dee488e86c208846f4ce6ee": { "model_module": "@jupyter-widgets/base", "model_module_version": "2.0.0", "model_name": "LayoutModel", "state": {} }, "7ad48fb4e8ea4d78a3d8708f947ce7a3": { "model_module": "@jupyter-widgets/controls", "model_module_version": "2.0.0", "model_name": "TextareaModel", "state": { "_dom_classes": [ "no-border" ], "layout": "IPY_MODEL_4e0e1d28a86c43aa920ca1bd4996a625", "rows": 2, "style": "IPY_MODEL_f2a56ec767d94c41b9a8531867d2e6e5", "value": "Processing trajectories: 1/1 [100%]. Frames processed: 280. Elapsed time: 0:00:01. Remaining time ~ 0:00:00. Trajs/s: 1. Frames/s: 423.\nStreaming mdciao_example/traj.xtc (nr. 0) with stride 1 in chunks of 2000 frames. Now at chunk nr 0, frames so far 280. (done)" } }, "7c816220c56c4e50a52e15fbbaa76f04": { "model_module": "@jupyter-widgets/controls", "model_module_version": "2.0.0", "model_name": "HTMLModel", "state": { "layout": "IPY_MODEL_19e5addae02443bf992c128c7169e0f2", "style": "IPY_MODEL_4a04974909a84474bd4bd3dc98771ba0", "value": "" } }, "7ca3d4cedc414130aac00b4a067c7cc6": { "model_module": "@jupyter-widgets/base", "model_module_version": "2.0.0", "model_name": "LayoutModel", "state": { "width": "163ch" } }, "7d620e4b552f4a13943491d9aa9e9020": { "model_module": "@jupyter-widgets/base", "model_module_version": "2.0.0", "model_name": "LayoutModel", "state": {} }, "7d77269a007144b298bbf85a19614624": { "model_module": "@jupyter-widgets/base", "model_module_version": "2.0.0", "model_name": "LayoutModel", "state": {} }, "7e12eccfbe0041feb7f42ce212ab900a": { "model_module": "@jupyter-widgets/controls", "model_module_version": "2.0.0", "model_name": "TextareaModel", "state": { "_dom_classes": [ "no-border" ], "layout": "IPY_MODEL_612083e4dcac434bad19357814d39016", "rows": 2, "style": "IPY_MODEL_1fd952d3eaf84c6fb39f79738971e435", "value": "Processing trajectories: 1/1 [100%]. Frames processed: 280. Elapsed time: 0:00:01. Remaining time ~ 0:00:00. Trajs/s: 2. Frames/s: 731.\nStreaming over trajectory object nr. 0 ( 280 frames, 280.0 with stride 1) in chunks of 2000 frames. Now at chunk nr 0, frames so far 280 (done)" } }, "7e4a5fd2f76548828cfdbc2cba6bcd57": { "model_module": "@jupyter-widgets/controls", "model_module_version": "2.0.0", "model_name": "TextareaModel", "state": { "_dom_classes": [ "no-border" ], "layout": "IPY_MODEL_f211e602c1614189855753a94d926ae1", "rows": 2, "style": "IPY_MODEL_ce1b2b039f4b480bba2264be6c61eaeb", "value": "Processing trajectories: 1/1 [100%]. Frames processed: 280. Elapsed time: 0:00:01. Remaining time ~ 0:00:00. Trajs/s: 2. Frames/s: 2469.\nStreaming over trajectory object nr. 0 ( 280 frames, 280.0 with stride 1) in chunks of 2000 frames. Now at chunk nr 0, frames so far 280 (done)" } }, "7ee9efbed3e749a6a358329bc9c02189": { "model_module": "@jupyter-widgets/controls", "model_module_version": "2.0.0", "model_name": "TextareaModel", "state": { "_dom_classes": [ "no-border" ], "layout": "IPY_MODEL_fdd70adc5b034f34a0fa87578c94e0c9", "rows": 2, "style": "IPY_MODEL_b61742ccb1c54a46adb88d159c9c7c74", "value": "Processing trajectories: 1/1 [100%]. Frames processed: 280. Elapsed time: 0:00:01. Remaining time ~ 0:00:00. Trajs/s: 2. Frames/s: 1335.\nStreaming mdciao_example/traj.xtc (nr. 0) with stride 1 in chunks of 2000 frames. Now at chunk nr 0, frames so far 280. (done)" } }, "7fdab629b16e4adaa40f364a0e667ac2": { "model_module": "@jupyter-widgets/base", "model_module_version": "2.0.0", "model_name": "LayoutModel", "state": { "width": "151ch" } }, "80d4a209c22f4c76bfecea05b5fcc55a": { "model_module": "@jupyter-widgets/controls", "model_module_version": "2.0.0", "model_name": "TextareaModel", "state": { "_dom_classes": [ "no-border" ], "layout": "IPY_MODEL_9df9d3d40ef442ac9075f0110c869007", "rows": 2, "style": "IPY_MODEL_3aa8eea8892a496198acb5393387679b", "value": "Processing trajectories: 1/1 [100%]. Frames processed: 280. Elapsed time: 0:00:01. Remaining time ~ 0:00:00. Trajs/s: 2. Frames/s: 3455.\nStreaming over trajectory object nr. 0 ( 280 frames, 280.0 with stride 1) in chunks of 2000 frames. Now at chunk nr 0, frames so far 280 (done)" } }, "8233aebc71784003a5759715fef46549": { "model_module": "@jupyter-widgets/controls", "model_module_version": "2.0.0", "model_name": "HTMLStyleModel", "state": { "description_width": "", "font_size": null, "text_color": null } }, "83150df482bb49189dabf8c15e4f8289": { "model_module": "@jupyter-widgets/controls", "model_module_version": "2.0.0", "model_name": "TextareaModel", "state": { "_dom_classes": [ "no-border" ], "layout": "IPY_MODEL_ef2c5092d50246b2ae10bfbc707f0f88", "rows": 2, "style": "IPY_MODEL_0bf900fbec8a401585c332cc3a3b5065", "value": "Processing trajectories: 1/1 [100%]. Frames processed: 280. Elapsed time: 0:00:01. Remaining time ~ 0:00:00. Trajs/s: 2. Frames/s: 733.\nStreaming over trajectory object nr. 0 ( 280 frames, 280.0 with stride 1) in chunks of 2000 frames. Now at chunk nr 0, frames so far 280 (done)" } }, "8330b6a00aff4af8bbdd054f4eb6ecda": { "model_module": "@jupyter-widgets/base", "model_module_version": "2.0.0", "model_name": "LayoutModel", "state": { "width": "163ch" } }, "83f86cc4512845a88205c5bd9dfce6ec": { "model_module": "@jupyter-widgets/controls", "model_module_version": "2.0.0", "model_name": "TextareaModel", "state": { "_dom_classes": [ "no-border" ], "layout": "IPY_MODEL_fb49a7f7754b4d7e88dfb60fd05132aa", "rows": 2, "style": "IPY_MODEL_024da2a27a8a453981570f47a6038527", "value": "Processing trajectories: 1/1 [100%]. Frames processed: 280. Elapsed time: 0:00:01. Remaining time ~ 0:00:00. Trajs/s: 2. Frames/s: 1864.\nStreaming over trajectory object nr. 0 ( 280 frames, 280.0 with stride 1) in chunks of 2000 frames. Now at chunk nr 0, frames so far 280 (done)" } }, "84bb4fb5f3b14b6d91585511ab2af596": { "model_module": "@jupyter-widgets/controls", "model_module_version": "2.0.0", "model_name": "TextareaModel", "state": { "_dom_classes": [ "no-border" ], "layout": "IPY_MODEL_d5ba0d12adb4411da6a3cb192d42fd7f", "rows": 2, "style": "IPY_MODEL_02d15bed44b74032862faafc36ee1e72", "value": "Processing trajectories: 1/1 [100%]. Frames processed: 280. Elapsed time: 0:00:01. Remaining time ~ 0:00:00. Trajs/s: 2. Frames/s: 720.\nStreaming over trajectory object nr. 0 ( 280 frames, 280.0 with stride 1) in chunks of 2000 frames. Now at chunk nr 0, frames so far 280 (done)" } }, "85f1eeb5931242c4bff82a87e6cacdc4": { "model_module": "@jupyter-widgets/base", "model_module_version": "2.0.0", "model_name": "LayoutModel", "state": { "width": "163ch" } }, "866f96e3e1184b5db59d361261a1b1a6": { "model_module": "@jupyter-widgets/controls", "model_module_version": "2.0.0", "model_name": "TextStyleModel", "state": { "description_width": "", "font_size": null, "text_color": null } }, "883d3f01ed2a453f937bb2b25c9c3734": { "model_module": "@jupyter-widgets/controls", "model_module_version": "2.0.0", "model_name": "TextareaModel", "state": { "_dom_classes": [ "no-border" ], "layout": "IPY_MODEL_2f7764d399ef45cf8594070ce5ba58a4", "rows": 2, "style": "IPY_MODEL_b3b3b64dbac049eb829baf6b9a5acceb", "value": "Processing trajectories: 1/1 [100%]. Frames processed: 280. Elapsed time: 0:00:01. Remaining time ~ 0:00:00. Trajs/s: 1. Frames/s: 420.\nStreaming mdciao_example/traj.xtc (nr. 0) with stride 1 in chunks of 2000 frames. Now at chunk nr 0, frames so far 280. (done)" } }, "892009de74eb4653b5f576897e74de4d": { "model_module": "@jupyter-widgets/controls", "model_module_version": "2.0.0", "model_name": "HTMLModel", "state": { "layout": "IPY_MODEL_126744c1fac744f48ae4f4b8c743f406", "style": "IPY_MODEL_c15fe818d182428284c14b02fa297783", "value": "" } }, "896a183fb2cc40fcb3bbd6bacd6a91b1": { "model_module": "@jupyter-widgets/base", "model_module_version": "2.0.0", "model_name": "LayoutModel", "state": {} }, "8a387ca11bb5459f8dce80347f9ac3be": { "model_module": "@jupyter-widgets/controls", "model_module_version": "2.0.0", "model_name": "TextStyleModel", "state": { "description_width": "", "font_size": null, "text_color": null } }, "8a5fb03e4a8e432f8ced17844ebe166a": { "model_module": "@jupyter-widgets/controls", "model_module_version": "2.0.0", "model_name": "HTMLStyleModel", "state": { "description_width": "", "font_size": null, "text_color": null } }, "8b455dbf382c44dd949da1916ac6917f": { "model_module": "@jupyter-widgets/controls", "model_module_version": "2.0.0", "model_name": "TextareaModel", "state": { "_dom_classes": [ "no-border" ], "layout": "IPY_MODEL_b29a0b46f0fa45fabb8919b17391f913", "rows": 2, "style": "IPY_MODEL_0771374b166f4f2390ce04e9ca11100c", "value": "Processing trajectories: 1/1 [100%]. Frames processed: 280. Elapsed time: 0:00:01. Remaining time ~ 0:00:00. Trajs/s: 2. Frames/s: 1444.\nStreaming over trajectory object nr. 0 ( 280 frames, 280.0 with stride 1) in chunks of 2000 frames. Now at chunk nr 0, frames so far 280 (done)" } }, "8c20880037a44a9a9272840e04fa9ebc": { "model_module": "@jupyter-widgets/controls", "model_module_version": "2.0.0", "model_name": "TextStyleModel", "state": { "description_width": "", "font_size": null, "text_color": null } }, "8e226fd4c64a41129170e9a6b4a8d4dc": { "model_module": "@jupyter-widgets/controls", "model_module_version": "2.0.0", "model_name": "HTMLModel", "state": { "layout": "IPY_MODEL_6cffc2a241c945e3a8e95fe529810326", "style": "IPY_MODEL_2e4b1d3d9529432dab4f9db7eec11f95", "value": "" } }, "8ec36b9f216a4429829155d1d78dde0a": { "model_module": "@jupyter-widgets/base", "model_module_version": "2.0.0", "model_name": "LayoutModel", "state": {} }, "8f5acfd97fd84af6b25e994d17ed8933": { "model_module": "@jupyter-widgets/base", "model_module_version": "2.0.0", "model_name": "LayoutModel", "state": { "width": "163ch" } }, "8facc18d63ee45038d430897f20c84d2": { "model_module": "@jupyter-widgets/controls", "model_module_version": "2.0.0", "model_name": "HTMLModel", "state": { "layout": "IPY_MODEL_2f10b9b470414003a5642193eb36388e", "style": "IPY_MODEL_07bbfe0271e940b09ec539b2a9b3bef9", "value": "" } }, "9058e855c233425e9dece90ad7e4c1d2": { "model_module": "@jupyter-widgets/controls", "model_module_version": "2.0.0", "model_name": "TextStyleModel", "state": { "description_width": "", "font_size": null, "text_color": null } }, "9122ffbf95c64a0aade16bd7d5d245b0": { "model_module": "@jupyter-widgets/controls", "model_module_version": "2.0.0", "model_name": "TextareaModel", "state": { "_dom_classes": [ "no-border" ], "layout": "IPY_MODEL_932a6e3bfedb4e10ac3692d39582111a", "rows": 2, "style": "IPY_MODEL_766072eb8bf1473793e916f9a91082ab", "value": "Processing trajectories: 1/1 [100%]. Frames processed: 280. Elapsed time: 0:00:01. Remaining time ~ 0:00:00. Trajs/s: 2. Frames/s: 3445.\nStreaming over trajectory object nr. 0 ( 280 frames, 280.0 with stride 1) in chunks of 2000 frames. Now at chunk nr 0, frames so far 280 (done)" } }, "932a6e3bfedb4e10ac3692d39582111a": { "model_module": "@jupyter-widgets/base", "model_module_version": "2.0.0", "model_name": "LayoutModel", "state": { "width": "163ch" } }, "935f92e4a5244a88a30af2c41d42f6b1": { "model_module": "@jupyter-widgets/base", "model_module_version": "2.0.0", "model_name": "LayoutModel", "state": {} }, "93802b88e3394eb090c0bdc7f1c89c1b": { "model_module": "@jupyter-widgets/controls", "model_module_version": "2.0.0", "model_name": "HTMLModel", "state": { "layout": "IPY_MODEL_6d6b79e681324f0ba2660b846511a1e2", "style": "IPY_MODEL_c0edd0b2f70d4f4e9afb260abc453f0e", "value": "" } }, "94a7917a6087456b8cbbf2aa39e9c905": { "model_module": "@jupyter-widgets/controls", "model_module_version": "2.0.0", "model_name": "HTMLModel", "state": { "layout": "IPY_MODEL_9db2b9e70e484bffb8af31c65c924dae", "style": "IPY_MODEL_ac2e1852d77345da900ff47413f8adce", "value": "" } }, "95ff1dd91c3c479fa3a9bc392f7e4eb0": { "model_module": "@jupyter-widgets/base", "model_module_version": "2.0.0", "model_name": "LayoutModel", "state": { "width": "163ch" } }, "98209e529b8145658461756c61a41c9e": { "model_module": "@jupyter-widgets/base", "model_module_version": "2.0.0", "model_name": "LayoutModel", "state": {} }, "9a2568e9df974b17956ed4001f1fed94": { "model_module": "@jupyter-widgets/controls", "model_module_version": "2.0.0", "model_name": "HTMLStyleModel", "state": { "description_width": "", "font_size": null, "text_color": null } }, "9d7d2503ddb443aa888b14df68d3b69c": { "model_module": "@jupyter-widgets/base", "model_module_version": "2.0.0", "model_name": "LayoutModel", "state": { "width": "163ch" } }, "9db2b9e70e484bffb8af31c65c924dae": { "model_module": "@jupyter-widgets/base", "model_module_version": "2.0.0", "model_name": "LayoutModel", "state": {} }, "9df9d3d40ef442ac9075f0110c869007": { "model_module": "@jupyter-widgets/base", "model_module_version": "2.0.0", "model_name": "LayoutModel", "state": { "width": "163ch" } }, "a08be2c1f11347a7bfad936fb73977dd": { "model_module": "@jupyter-widgets/controls", "model_module_version": "2.0.0", "model_name": "TextareaModel", "state": { "_dom_classes": [ "no-border" ], "layout": "IPY_MODEL_95ff1dd91c3c479fa3a9bc392f7e4eb0", "rows": 2, "style": "IPY_MODEL_28044b71b0ac4a89a8e90e88bdf3934d", "value": "Processing trajectories: 1/1 [100%]. Frames processed: 280. Elapsed time: 0:00:01. Remaining time ~ 0:00:00. Trajs/s: 2. Frames/s: 1248.\nStreaming over trajectory object nr. 0 ( 280 frames, 280.0 with stride 1) in chunks of 2000 frames. Now at chunk nr 0, frames so far 280 (done)" } }, "a1c3f4920d6349918a8e3ed472354ae0": { "model_module": "@jupyter-widgets/controls", "model_module_version": "2.0.0", "model_name": "TextareaModel", "state": { "_dom_classes": [ "no-border" ], "layout": "IPY_MODEL_85f1eeb5931242c4bff82a87e6cacdc4", "rows": 2, "style": "IPY_MODEL_07dcc399b97049afbd3200e63a97ad0d", "value": "Processing trajectories: 1/1 [100%]. Frames processed: 280. Elapsed time: 0:00:01. Remaining time ~ 0:00:00. Trajs/s: 2. Frames/s: 727.\nStreaming over trajectory object nr. 0 ( 280 frames, 280.0 with stride 1) in chunks of 2000 frames. Now at chunk nr 0, frames so far 280 (done)" } }, "a3a0e5fb0f2d487c933734b9b5f377fe": { "model_module": "@jupyter-widgets/controls", "model_module_version": "2.0.0", "model_name": "TextareaModel", "state": { "_dom_classes": [ "no-border" ], "layout": "IPY_MODEL_d8bc4d419ee54d729b78f20c4ce6cadb", "rows": 2, "style": "IPY_MODEL_63cd755735e348cd80982d8684e35ea3", "value": "Processing trajectories: 1/1 [100%]. Frames processed: 280. Elapsed time: 0:00:01. Remaining time ~ 0:00:00. Trajs/s: 2. Frames/s: 537.\nStreaming over trajectory object nr. 0 ( 280 frames, 280.0 with stride 1) in chunks of 2000 frames. Now at chunk nr 0, frames so far 280 (done)" } }, "a4f8c8c07d5f4076b245a58692b0e730": { "model_module": "@jupyter-widgets/controls", "model_module_version": "2.0.0", "model_name": "HTMLModel", "state": { "layout": "IPY_MODEL_2bc1af39fb62426d8732a4d492d9bf91", "style": "IPY_MODEL_080a95168e094a3e9dd649657fae1549", "value": "" } }, "a69e806300dc4d4195bb18f9217f42e1": { "model_module": "@jupyter-widgets/controls", "model_module_version": "2.0.0", "model_name": "TextStyleModel", "state": { "description_width": "", "font_size": null, "text_color": null } }, "a8518cfe1c184fc78928facfcf893489": { "model_module": "@jupyter-widgets/base", "model_module_version": "2.0.0", "model_name": "LayoutModel", "state": { "width": "163ch" } }, "abd2228e58ab4c0d8e00e9ee9011dbe9": { "model_module": "@jupyter-widgets/controls", "model_module_version": "2.0.0", "model_name": "TextareaModel", "state": { "_dom_classes": [ "no-border" ], "layout": "IPY_MODEL_f6485e9f7cbc46f9928111aef237ec3e", "rows": 2, "style": "IPY_MODEL_c123b097f66d4aef83fff89fd922a1f7", "value": "Processing trajectories: 1/1 [100%]. Frames processed: 280. Elapsed time: 0:00:01. Remaining time ~ 0:00:00. Trajs/s: 2. Frames/s: 1278.\nStreaming mdciao_example/traj.xtc (nr. 0) with stride 1 in chunks of 2000 frames. Now at chunk nr 0, frames so far 280. 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Frames processed: 280. Elapsed time: 0:00:01. Remaining time ~ 0:00:00. Trajs/s: 2. Frames/s: 745.\nStreaming over trajectory object nr. 0 ( 280 frames, 280.0 with stride 1) in chunks of 2000 frames. 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Frames processed: 280. Elapsed time: 0:00:01. Remaining time ~ 0:00:00. Trajs/s: 2. Frames/s: 1235.\nStreaming over trajectory object nr. 0 ( 280 frames, 280.0 with stride 1) in chunks of 2000 frames. 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Frames processed: 280. Elapsed time: 0:00:01. Remaining time ~ 0:00:00. Trajs/s: 2. Frames/s: 722.\nStreaming over trajectory object nr. 0 ( 280 frames, 280.0 with stride 1) in chunks of 2000 frames. Now at chunk nr 0, frames so far 280 (done)" } }, "e6c4b5cd83994612b222d9ea03e9b6e6": { "model_module": "@jupyter-widgets/base", "model_module_version": "2.0.0", "model_name": "LayoutModel", "state": {} }, "e93e01cab7df4ec992417516a3d65cc2": { "model_module": "@jupyter-widgets/controls", "model_module_version": "2.0.0", "model_name": "TextareaModel", "state": { "_dom_classes": [ "no-border" ], "layout": "IPY_MODEL_cf7819cc89d047ceba4042e866d69c01", "rows": 2, "style": "IPY_MODEL_58f89847a6b64efc9ccb91a7cb9b43b3", "value": "Processing trajectories: 1/1 [100%]. Frames processed: 280. Elapsed time: 0:00:01. Remaining time ~ 0:00:00. Trajs/s: 2. Frames/s: 567.\nStreaming mdciao_example/traj.xtc (nr. 0) with stride 1 in chunks of 2000 frames. Now at chunk nr 0, frames so far 280. 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