digraph workflow {
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		dispersion_plot	[_draw_="c 7 -#000000 C 7 -#94ddf4 P 4 192.5 35.5 192.5 54.5 365.5 54.5 365.5 35.5 ",
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		neighborhood_enrichment_plot	[_draw_="c 7 -#000000 C 7 -#94ddf4 P 4 2259 35.5 2259 54.5 2427 54.5 2427 35.5 ",
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			rects="2259,35.5,2427,54.5",
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		ripley_plot	[_draw_="c 7 -#000000 C 7 -#94ddf4 P 4 2431 35.5 2431 54.5 2499 54.5 2499 35.5 ",
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			rects="536.5,35.5,763.5,54.5",
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		scanpy_qc_results	[_draw_="c 7 -#000000 C 7 -#94ddf4 P 4 2767.5 35.5 2767.5 54.5 2960.5 54.5 2960.5 35.5 ",
			_ldraw_="F 10 9 -Helvetica c 7 -#000000 T 2864 42.5 0 177 35 -Quality control metrics from Scanpy ",
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			pos="2864,45",
			rects="2767.5,35.5,2960.5,54.5",
			width=2.6806];
		umap_density_plot	[_draw_="c 7 -#000000 C 7 -#94ddf4 P 4 768 35.5 768 54.5 1076 54.5 1076 35.5 ",
			_ldraw_="F 10 9 -Helvetica c 7 -#000000 T 922 42.5 0 292 59 -UMAP dimensionality reduction plot, colored by cell density ",
			fillcolor="#94DDF4",
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			label="UMAP dimensionality reduction plot, colored by cell density",
			pos="922,45",
			rects="768,35.5,1076,54.5",
			width=4.2778];
		spatial_plot	[_draw_="c 7 -#000000 C 7 -#94ddf4 P 4 1080.5 35.5 1080.5 54.5 1319.5 54.5 1319.5 35.5 ",
			_ldraw_="F 10 9 -Helvetica c 7 -#000000 T 1200 42.5 0 223 46 -Slide-seq bead plot, colored by Leiden cluster ",
			fillcolor="#94DDF4",
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			label="Slide-seq bead plot, colored by Leiden cluster",
			pos="1200,45",
			rects="1080.5,35.5,1319.5,54.5",
			width=3.3194];
		interaction_matrix_plot	[_draw_="c 7 -#000000 C 7 -#94ddf4 P 4 2503.5 35.5 2503.5 54.5 2634.5 54.5 2634.5 35.5 ",
			_ldraw_="F 10 9 -Helvetica c 7 -#000000 T 2569 42.5 0 115 23 -interaction_matrix_plot ",
			fillcolor="#94DDF4",
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			label=interaction_matrix_plot,
			pos="2569,45",
			rects="2503.5,35.5,2634.5,54.5",
			width=1.8194];
		marker_gene_plot_logreg	[_draw_="c 7 -#000000 C 7 -#94ddf4 P 4 1324 35.5 1324 54.5 1522 54.5 1522 35.5 ",
			_ldraw_="F 10 9 -Helvetica c 7 -#000000 T 1423 42.5 0 182 35 -Cluster marker genes, logreg method ",
			fillcolor="#94DDF4",
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			label="Cluster marker genes, logreg method",
			pos="1423,45",
			rects="1324,35.5,1522,54.5",
			width=2.75];
		umap_plot	[_draw_="c 7 -#000000 C 7 -#94ddf4 P 4 1526 35.5 1526 54.5 1718 54.5 1718 35.5 ",
			_ldraw_="F 10 9 -Helvetica c 7 -#000000 T 1622 42.5 0 176 34 -UMAP dimensionality reduction plot ",
			fillcolor="#94DDF4",
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			label="UMAP dimensionality reduction plot",
			pos="1622,45",
			rects="1526,35.5,1718,54.5",
			width=2.6667];
		centrality_scores_plot	[_draw_="c 7 -#000000 C 7 -#94ddf4 P 4 2639 35.5 2639 54.5 2763 54.5 2763 35.5 ",
			_ldraw_="F 10 9 -Helvetica c 7 -#000000 T 2701 42.5 0 108 22 -centrality_scores_plot ",
			fillcolor="#94DDF4",
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			label=centrality_scores_plot,
			pos="2701,45",
			rects="2639,35.5,2763,54.5",
			width=1.7222];
		marker_gene_plot_t_test	[_draw_="c 7 -#000000 C 7 -#94ddf4 P 4 1722.5 35.5 1722.5 54.5 1875.5 54.5 1875.5 35.5 ",
			_ldraw_="F 10 9 -Helvetica c 7 -#000000 T 1799 42.5 0 137 28 -Cluster marker genes, t-test ",
			fillcolor="#94DDF4",
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			label="Cluster marker genes, t-test",
			pos="1799,45",
			rects="1722.5,35.5,1875.5,54.5",
			width=2.125];
	}
	convert_formats	[_draw_="c 7 -#000000 C 7 -#fafad2 P 4 1288 170.5 1288 189.5 1650 189.5 1650 170.5 ",
		_ldraw_="F 10 9 -Helvetica c 7 -#000000 T 1469 177.5 0 346 68 -Convert Alevin sparse output to anndata.AnnData object, save as h5ad ",
		height=0.27778,
		label="Convert Alevin sparse output to anndata.AnnData object, save as h5ad",
		pos="1469,180",
		rects="1288,170.5,1650,189.5",
		width=5.0278];
	assay -> convert_formats	[_draw_="c 7 -#000000 B 7 1632.27 223.56 1623.35 220.73 1613.27 217.62 1604 215 1573.76 206.44 1539.4 197.8 1512.92 191.38 ",
		_hdraw_="S 5 -solid c 7 -#000000 C 7 -#000000 P 3 1513.82 189.07 1506.44 189.81 1512.67 193.83 ",
		_ldraw_="F 8 9 -Helvetica c 7 -#000000 T 1586.5 200.6 0 25 5 -assay ",
		label=assay,
		lp="1586.5,202.5",
		pos="e,1505,189.45 1632.3,223.56 1623.4,220.73 1613.3,217.62 1604,215 1573.8,206.44 1539.4,197.8 1512.9,191.38"];
	scanpy_analysis	[_draw_="c 7 -#000000 C 7 -#fafad2 P 4 1317 125.5 1317 144.5 1529 144.5 1529 125.5 ",
		_ldraw_="F 10 9 -Helvetica c 7 -#000000 T 1423 132.5 0 196 39 -Dimensionality reduction and clustering ",
		height=0.27778,
		label="Dimensionality reduction and clustering",
		pos="1423,135",
		rects="1317,125.5,1529,144.5",
		width=2.9444];
	assay -> scanpy_analysis	[_draw_="c 7 -#000000 B 7 1659.7 223.86 1661.95 210.61 1664.13 184.42 1650 170 1633.75 153.42 1585.28 144.89 1537.27 140.51 ",
		_hdraw_="S 5 -solid c 7 -#000000 C 7 -#000000 P 3 1537.64 138.09 1530.46 139.93 1537.22 142.97 ",
		_ldraw_="F 8 9 -Helvetica c 7 -#000000 T 1671.5 178.1 0 25 5 -assay ",
		label=assay,
		lp="1671.5,180",
		pos="e,1529,139.8 1659.7,223.86 1661.9,210.61 1664.1,184.42 1650,170 1633.8,153.42 1585.3,144.89 1537.3,140.51"];
	squidpy_analysis	[_draw_="c 7 -#000000 C 7 -#fafad2 P 4 2024 80.5 2024 99.5 2236 99.5 2236 80.5 ",
		_ldraw_="F 10 9 -Helvetica c 7 -#000000 T 2130 87.5 0 196 39 -Dimensionality reduction and clustering ",
		height=0.27778,
		label="Dimensionality reduction and clustering",
		pos="2130,90",
		rects="2024,80.5,2236,99.5",
		width=2.9444];
	assay -> squidpy_analysis	[_draw_="c 7 -#000000 B 13 1664.1 223.76 1669.84 215.6 1678.25 202.54 1683 190 1688.93 174.35 1679.57 166.09 1690 153 1709.35 128.72 1723.93 \
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		_hdraw_="S 5 -solid c 7 -#000000 C 7 -#000000 P 3 2015.91 94.27 2022.82 91.57 2015.73 89.37 ",
		_ldraw_="F 8 9 -Helvetica c 7 -#000000 T 1702.5 155.6 0 25 5 -assay ",
		label=assay,
		lp="1702.5,157.5",
		pos="e,2024.3,91.52 1664.1,223.76 1669.8,215.6 1678.3,202.54 1683,190 1688.9,174.35 1679.6,166.09 1690,153 1709.3,128.72 1723.9,132.72 \
1754,125 1840.2,102.87 1940.8,94.648 2016.2,91.81"];
	compute_qc_results	[_draw_="c 7 -#000000 C 7 -#fafad2 P 4 1756 125.5 1756 144.5 1874 144.5 1874 125.5 ",
		_ldraw_="F 10 9 -Helvetica c 7 -#000000 T 1815 132.5 0 102 18 -Compute QC metrics ",
		height=0.27778,
		label="Compute QC metrics",
		pos="1815,135",
		rects="1756,125.5,1874,144.5",
		width=1.6389];
	assay -> compute_qc_results	[_draw_="c 7 -#000000 B 7 1697.24 223.57 1731.35 214.22 1779.63 195.78 1808 162 1810.3 159.26 1811.85 155.83 1812.9 152.37 ",
		_hdraw_="S 5 -solid c 7 -#000000 C 7 -#000000 P 3 1815.29 152.92 1814.28 145.57 1810.48 151.94 ",
		_ldraw_="F 8 9 -Helvetica c 7 -#000000 T 1811.5 178.1 0 25 5 -assay ",
		label=assay,
		lp="1811.5,180",
		pos="e,1814.6,144.09 1697.2,223.57 1731.4,214.22 1779.6,195.78 1808,162 1810.3,159.26 1811.9,155.83 1812.9,152.37"];
	data_dir -> convert_formats	[_draw_="c 7 -#000000 B 4 1509.07 223.58 1501.87 215.93 1491.1 204.48 1482.54 195.39 ",
		_hdraw_="S 5 -solid c 7 -#000000 C 7 -#000000 P 3 1484.4 193.79 1477.82 190.37 1480.83 197.14 ",
		_ldraw_="F 8 9 -Helvetica c 7 -#000000 T 1510 200.6 0 34 8 -data_dir ",
		label=data_dir,
		lp="1510,202.5",
		pos="e,1476.8,189.26 1509.1,223.58 1501.9,215.93 1491.1,204.48 1482.5,195.39"];
	convert_formats -> count_matrix_h5ad	[_draw_="c 7 -#000000 B 7 1326.29 170.53 1089.73 155.48 601.81 120.18 192 63 178.44 61.11 163.81 58.56 150.38 56.02 ",
		_hdraw_="S 5 -solid c 7 -#000000 C 7 -#000000 P 3 151.01 53.65 143.67 54.73 150.08 58.46 ",
		pos="e,142.19,54.446 1326.3,170.53 1089.7,155.48 601.81,120.18 192,63 178.44,61.107 163.81,58.564 150.38,56.022"];
	convert_formats -> scanpy_analysis	[_draw_="c 7 -#000000 B 7 1434.98 170.58 1431.12 168.36 1427.64 165.55 1425 162 1422.93 159.22 1421.92 155.78 1421.52 152.31 ",
		_hdraw_="S 5 -solid c 7 -#000000 C 7 -#000000 P 3 1423.97 152.56 1421.53 145.56 1419.07 152.56 ",
		_ldraw_="F 8 9 -Helvetica c 7 -#000000 T 1446.5 155.6 0 43 10 -sdata_zarr ",
		label=sdata_zarr,
		lp="1446.5,157.5",
		pos="e,1421.5,144.04 1435,170.58 1431.1,168.36 1427.6,165.55 1425,162 1422.9,159.22 1421.9,155.78 1421.5,152.31"];
	convert_formats -> scanpy_analysis	[_draw_="c 7 -#000000 B 7 1469.72 170.91 1469.79 165.32 1468.97 158.01 1465 153 1463.85 151.55 1462.56 150.22 1461.15 149 ",
		_hdraw_="S 5 -solid c 7 -#000000 C 7 -#000000 P 3 1462.83 147.18 1455.67 145.22 1460.04 151.21 ",
		_ldraw_="F 8 9 -Helvetica c 7 -#000000 T 1487 155.6 0 38 9 -h5ad_file ",
		label=h5ad_file,
		lp="1487,157.5",
		pos="e,1454.4,144.36 1469.7,170.91 1469.8,165.32 1469,158.01 1465,153 1463.8,151.55 1462.6,150.22 1461.2,149"];
	convert_formats -> compute_qc_results	[_draw_="c 7 -#000000 B 10 1642.85 170.51 1678.39 168.02 1707.59 165.13 1716 162 1722.25 159.68 1721.91 155.71 1728 153 1734.37 150.17 1741.21 \
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		_hdraw_="S 5 -solid c 7 -#000000 C 7 -#000000 P 3 1748.7 148.23 1754.86 144.09 1747.46 143.49 ",
		_ldraw_="F 8 9 -Helvetica c 7 -#000000 T 1769.5 155.6 0 83 19 -primary_matrix_path ",
		label=primary_matrix_path,
		lp="1769.5,157.5",
		pos="e,1756.3,143.7 1642.9,170.51 1678.4,168.02 1707.6,165.13 1716,162 1722.2,159.68 1721.9,155.71 1728,153 1734.4,150.17 1741.2,147.81 \
1748.1,145.84"];
	scanpy_analysis -> dispersion_plot	[_draw_="c 7 -#000000 B 16 1317.31 127.03 1300.96 124.6 1284.4 121.35 1269 117 1251.97 112.19 1246.97 110.85 1233 100 1219.79 89.74 1224.1 \
78.19 1209 71 1187.96 60.98 393.2 65.26 370 63 355.02 61.54 338.83 58.88 324.31 56.08 ",
		_hdraw_="S 5 -solid c 7 -#000000 C 7 -#000000 P 3 324.81 53.68 317.47 54.72 323.86 58.49 ",
		pos="e,315.98,54.429 1317.3,127.03 1301,124.6 1284.4,121.35 1269,117 1252,112.19 1247,110.85 1233,100 1219.8,89.738 1224.1,78.194 1209,\
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	scanpy_analysis -> filtered_data_h5ad	[_draw_="c 7 -#000000 B 16 1347.04 125.5 1332.33 123.22 1317.11 120.41 1303 117 1280.59 111.58 1273.92 111.6 1254 100 1237.13 90.17 1239.23 \
77.99 1221 71 1185.52 57.39 574.8 66.92 537 63 522.96 61.54 507.8 58.91 494.18 56.14 ",
		_hdraw_="S 5 -solid c 7 -#000000 C 7 -#000000 P 3 494.76 53.76 487.41 54.73 493.76 58.56 ",
		pos="e,485.93,54.415 1347,125.5 1332.3,123.22 1317.1,120.41 1303,117 1280.6,111.58 1273.9,111.6 1254,100 1237.1,90.172 1239.2,77.994 \
1221,71 1185.5,57.388 574.8,66.923 537,63 522.96,61.543 507.8,58.91 494.18,56.145"];
	scanpy_analysis -> sdata_zarr_zip	[_draw_="c 7 -#000000 B 16 1369.24 125.52 1356.91 123.14 1343.93 120.29 1332 117 1310.99 111.2 1305.76 109.2 1286 100 1262.36 89 1260.15 \
77.88 1235 71 1184.94 57.3 819.73 67.15 768 63 748.14 61.41 726.53 58.61 707.3 55.73 ",
		_hdraw_="S 5 -solid c 7 -#000000 C 7 -#000000 P 3 707.72 53.32 700.43 54.69 706.98 58.16 ",
		pos="e,698.93,54.459 1369.2,125.52 1356.9,123.14 1343.9,120.29 1332,117 1311,111.2 1305.8,109.2 1286,100 1262.4,89 1260.2,77.882 1235,\
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	scanpy_analysis -> umap_density_plot	[_draw_="c 7 -#000000 B 13 1388.59 125.61 1366.95 119.74 1338.72 110.99 1315 100 1293.07 89.84 1292.07 78.2 1269 71 1228.87 58.48 1121.92 \
66.14 1080 63 1053.81 61.04 1025.25 58.19 999.7 55.37 ",
		_hdraw_="S 5 -solid c 7 -#000000 C 7 -#000000 P 3 1000.25 52.97 993.03 54.63 999.71 57.84 ",
		pos="e,991.52,54.465 1388.6,125.61 1366.9,119.74 1338.7,110.99 1315,100 1293.1,89.843 1292.1,78.198 1269,71 1228.9,58.481 1121.9,66.139 \
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	scanpy_analysis -> spatial_plot	[_draw_="c 7 -#000000 B 7 1408.07 125.7 1384.15 112.67 1335.51 87.22 1292 71 1277.08 65.44 1260.39 60.53 1245.36 56.56 ",
		_hdraw_="S 5 -solid c 7 -#000000 C 7 -#000000 P 3 1246.05 54.21 1238.66 54.84 1244.83 58.96 ",
		pos="e,1237.2,54.459 1408.1,125.7 1384.1,112.67 1335.5,87.219 1292,71 1277.1,65.439 1260.4,60.528 1245.4,56.563"];
	scanpy_analysis -> marker_gene_plot_logreg	[_draw_="c 7 -#000000 B 4 1423 125.56 1423 111.14 1423 81.48 1423 62.73 ",
		_hdraw_="S 5 -solid c 7 -#000000 C 7 -#000000 P 3 1425.45 62.8 1423 55.8 1420.55 62.8 ",
		pos="e,1423,54.284 1423,125.56 1423,111.14 1423,81.476 1423,62.727"];
	scanpy_analysis -> umap_plot	[_draw_="c 7 -#000000 B 7 1437.42 125.68 1460.04 112.84 1505.48 87.92 1546 71 1558.41 65.82 1572.3 60.98 1584.77 56.97 ",
		_hdraw_="S 5 -solid c 7 -#000000 C 7 -#000000 P 3 1585.36 59.35 1591.3 54.91 1583.88 54.68 ",
		pos="e,1592.7,54.456 1437.4,125.68 1460,112.84 1505.5,87.919 1546,71 1558.4,65.819 1572.3,60.982 1584.8,56.969"];
	scanpy_analysis -> marker_gene_plot_t_test	[_draw_="c 7 -#000000 B 4 1459.05 125.56 1528.31 109.35 1679.72 73.92 1754.88 56.33 ",
		_hdraw_="S 5 -solid c 7 -#000000 C 7 -#000000 P 3 1755.05 58.8 1761.31 54.82 1753.93 54.03 ",
		pos="e,1762.8,54.477 1459.1,125.56 1528.3,109.35 1679.7,73.916 1754.9,56.327"];
	scanpy_analysis -> squidpy_analysis	[_draw_="c 7 -#000000 B 10 1501.91 125.54 1519.15 123.2 1537.25 120.36 1554 117 1568.91 114.01 1571.97 110.25 1587 108 1666.6 96.07 1881.42 \
92.49 2015.78 91.43 ",
		_hdraw_="S 5 -solid c 7 -#000000 C 7 -#000000 P 3 2015.61 93.88 2022.59 91.38 2015.58 88.98 ",
		_ldraw_="F 8 9 -Helvetica c 7 -#000000 T 1608.5 110.6 0 43 10 -sdata_zarr ",
		label=sdata_zarr,
		lp="1608.5,112.5",
		pos="e,2024.1,91.367 1501.9,125.54 1519.2,123.2 1537.2,120.36 1554,117 1568.9,114.01 1572,110.25 1587,108 1666.6,96.069 1881.4,92.491 \
2015.8,91.431"];
	scanpy_analysis -> squidpy_analysis	[_draw_="c 7 -#000000 B 10 1528.88 131.65 1560.77 129.22 1595.62 124.81 1627 117 1636.85 114.55 1638.09 110.22 1648 108 1715.4 92.92 1896.07 \
90.22 2016.05 90.2 ",
		_hdraw_="S 5 -solid c 7 -#000000 C 7 -#000000 P 3 2015.71 92.65 2022.71 90.2 2015.71 87.75 ",
		_ldraw_="F 8 9 -Helvetica c 7 -#000000 T 1667 110.6 0 38 9 -h5ad_file ",
		label=h5ad_file,
		lp="1667,112.5",
		pos="e,2024.2,90.204 1528.9,131.65 1560.8,129.22 1595.6,124.81 1627,117 1636.9,114.55 1638.1,110.22 1648,108 1715.4,92.924 1896.1,90.218 \
2016.1,90.201"];
	squidpy_analysis -> co_occurrence_plot	[_draw_="c 7 -#000000 B 7 2079.71 80.52 2053.96 75.89 2022.17 69.74 1994 63 1986.39 61.18 1978.29 59 1970.6 56.83 ",
		_hdraw_="S 5 -solid c 7 -#000000 C 7 -#000000 P 3 1971.33 54.49 1963.93 54.9 1969.98 59.2 ",
		pos="e,1962.5,54.483 2079.7,80.521 2054,75.892 2022.2,69.737 1994,63 1986.4,61.179 1978.3,59.004 1970.6,56.828"];
	squidpy_analysis -> squidpy_annotated_h5ad	[_draw_="c 7 -#000000 B 4 2116.96 80.5 2107.56 74.38 2094.7 66 2084 59.03 ",
		_hdraw_="S 5 -solid c 7 -#000000 C 7 -#000000 P 3 2085.48 57.07 2078.28 55.3 2082.81 61.18 ",
		pos="e,2077,54.478 2117,80.505 2107.6,74.38 2094.7,65.999 2084,59.031"];
	squidpy_analysis -> squidpy_spatial_plot	[_draw_="c 7 -#000000 B 4 2143.04 80.5 2152.44 74.38 2165.3 66 2176 59.03 ",
		_hdraw_="S 5 -solid c 7 -#000000 C 7 -#000000 P 3 2177.19 61.18 2181.72 55.3 2174.52 57.07 ",
		pos="e,2183,54.478 2143,80.505 2152.4,74.38 2165.3,65.999 2176,59.031"];
	squidpy_analysis -> neighborhood_enrichment_plot	[_draw_="c 7 -#000000 B 10 2151.36 80.57 2160.9 77.11 2172.38 73.36 2183 71 2214.43 64 2223.17 67.84 2255 63 2267.87 61.04 2281.73 58.55 \
2294.56 56.08 ",
		_hdraw_="S 5 -solid c 7 -#000000 C 7 -#000000 P 3 2294.93 58.5 2301.33 54.76 2293.99 53.7 ",
		pos="e,2302.8,54.467 2151.4,80.566 2160.9,77.106 2172.4,73.365 2183,71 2214.4,64.004 2223.2,67.835 2255,63 2267.9,61.045 2281.7,58.552 \
2294.6,56.081"];
	squidpy_analysis -> ripley_plot	[_draw_="c 7 -#000000 B 10 2156.12 80.5 2168.39 76.89 2183.3 73.05 2197 71 2247.58 63.43 2377.18 74.55 2427 63 2432.17 61.8 2437.51 59.89 \
2442.49 57.77 ",
		_hdraw_="S 5 -solid c 7 -#000000 C 7 -#000000 P 3 2443.23 60.13 2448.57 54.98 2441.18 55.68 ",
		pos="e,2449.9,54.351 2156.1,80.5 2168.4,76.892 2183.3,73.051 2197,71 2247.6,63.428 2377.2,74.545 2427,63 2432.2,61.801 2437.5,59.889 \
2442.5,57.772"];
	squidpy_analysis -> interaction_matrix_plot	[_draw_="c 7 -#000000 B 10 2160.51 80.57 2175.07 76.93 2192.81 73.05 2209 71 2337.36 54.77 2371.79 80.35 2500 63 2510.71 61.55 2522.17 59.1 \
2532.61 56.51 ",
		_hdraw_="S 5 -solid c 7 -#000000 C 7 -#000000 P 3 2533.1 58.91 2539.26 54.79 2531.87 54.17 ",
		pos="e,2540.7,54.416 2160.5,80.574 2175.1,76.934 2192.8,73.047 2209,71 2337.4,54.773 2371.8,80.353 2500,63 2510.7,61.551 2522.2,59.103 \
2532.6,56.51"];
	squidpy_analysis -> centrality_scores_plot	[_draw_="c 7 -#000000 B 7 2235.56 89.7 2338.16 88.94 2498.1 83.94 2635 63 2644.96 61.48 2655.6 59.09 2665.36 56.57 ",
		_hdraw_="S 5 -solid c 7 -#000000 C 7 -#000000 P 3 2665.72 59.01 2671.85 54.84 2664.46 54.28 ",
		pos="e,2673.3,54.45 2235.6,89.703 2338.2,88.944 2498.1,83.937 2635,63 2645,61.477 2655.6,59.086 2665.4,56.573"];
	compute_qc_results -> scanpy_qc_results	[_draw_="c 7 -#000000 B 7 1873.77 131.52 2022.99 124.81 2428.42 103.99 2764 63 2779.49 61.11 2796.23 58.49 2811.51 55.87 ",
		_hdraw_="S 5 -solid c 7 -#000000 C 7 -#000000 P 3 2811.86 58.3 2818.33 54.69 2811.02 53.47 ",
		pos="e,2819.8,54.427 1873.8,131.52 2023,124.81 2428.4,103.99 2764,63 2779.5,61.109 2796.2,58.49 2811.5,55.875"];
}