diff --git a/Project.toml b/Project.toml index ee4cce4f..143f701e 100644 --- a/Project.toml +++ b/Project.toml @@ -21,9 +21,10 @@ julia = "1.6" [extras] ADNLPModels = "54578032-b7ea-4c30-94aa-7cbd1cce6c9a" +Distributed = "8ba89e20-285c-5b6f-9357-94700520ee1b" NLPModels = "a4795742-8479-5a88-8948-cc11e1c8c1a6" NLPModelsJuMP = "792afdf1-32c1-5681-94e0-d7bf7a5df49e" Test = "8dfed614-e22c-5e08-85e1-65c5234f0b40" [targets] -test = ["ADNLPModels", "NLPModels", "NLPModelsJuMP", "Test"] +test = ["ADNLPModels", "Distributed", "NLPModels", "NLPModelsJuMP", "Test"] diff --git a/data/clean_tetra_file.jl b/data/clean_tetra_file.jl new file mode 100644 index 00000000..cc30bbdf --- /dev/null +++ b/data/clean_tetra_file.jl @@ -0,0 +1,37 @@ +# Usage: +# julia clean_tetra_file.jl tetra_hook.jl tetra_hook_clean.jl + +if length(ARGS) < 2 + println("Usage: julia flatten_hook_file.jl input.jl output.jl") + exit(1) +end + +input_file = ARGS[1] +output_file = ARGS[2] + +# Load data in a temporary module +mod = Module(:Tmp) +Base.include(mod, input_file) + +# Get the matrices +_TETS_hook = getfield(mod, :_TETS_hook) +_xe_hook = getfield(mod, :_xe_hook) + +# Remove the first column +_TETS_hook = _TETS_hook[:, 2:end] +_xe_hook = _xe_hook[:, 2:end] + +# Flatten directly into 1-D arrays +TETS_hook = vec(_TETS_hook) +xe_hook = vec(_xe_hook) + +# Write new file +open(output_file, "w") do io + println(io, "# Flattened data extracted from $input_file") + println(io, "# First column removed; already flat vectors\n") + + println(io, "const TETS_hook = ", repr(TETS_hook)) + println(io, "const xe_hook = ", repr(xe_hook)) +end + +println("✅ Wrote flattened file to: $output_file") diff --git a/data/clean_triangle_file.jl b/data/clean_triangle_file.jl new file mode 100644 index 00000000..a7c40f3f --- /dev/null +++ b/data/clean_triangle_file.jl @@ -0,0 +1,38 @@ +# flatten_turtle_file.jl +# Usage: +# julia flatten_turtle_file.jl triangle_turtle.jl triangle_turtle_flat.jl + +if length(ARGS) < 2 + println("Usage: julia flatten_turtle_file.jl input.jl output.jl") + exit(1) +end + +input_file = ARGS[1] +output_file = ARGS[2] + +# Load data in a temporary module +mod = Module(:Tmp) +Base.include(mod, input_file) + +# Get the matrices +_TRIS_turtle = getfield(mod, :_TRIS_turtle) +_xe_turtle = getfield(mod, :_xe_turtle) + +# Remove the first column +_TRIS_turtle = _TRIS_turtle[:, 2:end] +_xe_turtle = _xe_turtle[:, 2:end] + +# Flatten directly into 1-D arrays +TRIS_turtle = vec(_TRIS_turtle) +xe_turtle = vec(_xe_turtle) + +# Write new file +open(output_file, "w") do io + println(io, "# Flattened data extracted from $input_file") + println(io, "# First column removed; already flat vectors\n") + + println(io, "const TRIS_turtle = ", repr(TRIS_turtle)) + println(io, "const xe_turtle = ", repr(xe_turtle)) +end + +println("✅ Wrote flattened file to: $output_file") diff --git a/data/tetra_duct12.jl b/data/tetra_duct12.jl index 990e1491..299687b6 100644 --- a/data/tetra_duct12.jl +++ b/data/tetra_duct12.jl @@ -1,23430 +1,89495 @@ -const _xe_duct12 = [ - 1 -3.81000000000000e+01 -3.81000000000000e+01 2.19100000000000e+02 - 2 3.81000000000000e+01 -3.81000000000000e+01 2.19100000000000e+02 - 3 3.81000000000000e+01 3.81000000000000e+01 2.19100000000000e+02 - 4 -3.81000000000000e+01 3.81000000000000e+01 2.19100000000000e+02 - 5 -3.81000000000000e+01 0.00000000000000e+00 2.19100000000000e+02 - 6 -3.81000000000000e+01 -1.27000000000000e+01 2.19100000000000e+02 - 7 -3.81000000000000e+01 -2.54000000000000e+01 2.19100000000000e+02 - 8 -2.54000000000000e+01 -3.81000000000000e+01 2.19100000000000e+02 - 9 -3.81000000000000e+01 -3.81000000000000e+01 2.07035000000000e+02 - 10 -1.27000000000000e+01 -3.81000000000000e+01 2.19100000000000e+02 - 11 0.00000000000000e+00 -3.81000000000000e+01 2.19100000000000e+02 - 12 1.27000000000000e+01 3.81000000000000e+01 2.19100000000000e+02 - 13 3.81000000000000e+01 -1.27000000000000e+01 2.19100000000000e+02 - 14 1.27000000000000e+01 -3.81000000000000e+01 2.19100000000000e+02 - 15 3.81000000000000e+01 -2.54000000000000e+01 2.19100000000000e+02 - 16 2.54000000000000e+01 -3.81000000000000e+01 2.19100000000000e+02 - 17 3.81000000000000e+01 -3.81000000000000e+01 2.06710000000000e+02 - 18 2.05148700000000e+01 -2.63688800000000e+01 2.19100000000000e+02 - 19 6.99199000000000e+00 -2.67660700000000e+01 2.19100000000000e+02 - 20 2.73504100000000e+01 -1.66695000000000e+01 2.19100000000000e+02 - 21 3.81000000000000e+01 1.27000000000000e+01 2.19100000000000e+02 - 22 -1.65322000000000e+01 -2.76685000000000e+01 2.19100000000000e+02 - 23 -5.60696000000000e+00 -2.70165100000000e+01 2.19100000000000e+02 - 24 -2.60302600000000e+01 -2.07164100000000e+01 2.19100000000000e+02 - 25 -3.93410000000000e-01 -2.84475400000000e+01 2.11118744000000e+02 - 26 2.54000000000000e+01 3.81000000000000e+01 2.19100000000000e+02 - 27 2.66693200000000e+01 2.11355100000000e+01 2.19100000000000e+02 - 28 3.81000000000000e+01 2.54000000000000e+01 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1871 -1.02694300000000e+01 -1.51458000000000e+00 5.56727300000000e+00 - 1872 -2.65305000000000e+01 -1.80288800000000e+01 2.67504000000000e-01 - 1873 -2.57685100000000e+01 -3.04047000000000e+00 -1.17939100000000e+00 - 1874 -3.81000000000000e+01 -2.16539000000000e+00 -2.26099100000000e+00 - 1875 -3.81000000000000e+01 1.07519000000000e+01 -2.28432500000000e+01 - 1876 -3.81000000000000e+01 -1.39262500000000e+01 -8.59765500000000e+00 - 1877 -3.81000000000000e+01 -4.60270000000000e-01 -1.41384830000000e+01 - 1878 -4.40517000000000e+00 -3.81000000000000e+01 -4.98247600000000e+00 - 1879 -1.40990900000000e+01 -3.81000000000000e+01 -1.09249780000000e+01 - 1880 -3.81203000000000e+00 -2.60418400000000e+01 -6.00901500000000e+00 - 1881 1.81105600000000e+01 -2.24966000000000e+01 -2.93406300000000e+00 - 1882 5.50970000000000e+00 -3.81000000000000e+01 -5.08849600000000e+00 - 1883 1.17978600000000e+01 -2.95147300000000e+01 -6.26224600000000e+00 - 1884 -2.79594500000000e+01 2.84390600000000e+01 -1.13630490000000e+01 - 1885 -2.59667900000000e+01 3.81000000000000e+01 -1.47313660000000e+01 - 1886 -2.89316000000000e+01 2.60113900000000e+01 -2.48993360000000e+01 - 1887 -3.81000000000000e+01 2.49027200000000e+01 -2.85736140000000e+01 - 1888 -2.91351600000000e+01 4.85237000000000e+00 -1.52338700000000e+01 - 1889 -2.60783000000000e+01 1.72607100000000e+01 -1.57945970000000e+01 - 1890 -2.22617400000000e+01 1.51444100000000e+01 -6.78679700000000e+00 - 1891 -1.87345900000000e+01 2.87103800000000e+01 -1.23217100000000e+01 - 1892 -1.47914200000000e+01 1.97387500000000e+01 -1.30614800000000e+00 - 1893 3.81000000000000e+01 -2.09256200000000e+01 -1.10706130000000e+01 - 1894 3.81000000000000e+01 -7.00584000000000e+00 -1.16898910000000e+01 - 1895 2.33741500000000e+01 -1.18247100000000e+01 -8.66794400000000e+00 - 1896 -3.81000000000000e+01 3.81000000000000e+01 -3.42650000000000e+01 - 1897 -3.81000000000000e+01 1.24665000000000e+01 -3.47708920000000e+01 - 1898 2.93070000000000e+01 -2.76265000000000e+00 -9.89792400000000e+00 - 1899 3.81000000000000e+01 6.44481000000000e+00 -1.11725120000000e+01 - 1900 3.81000000000000e+01 1.73078500000000e+01 -9.71428900000000e+00 - 1901 -2.59751800000000e+01 3.81000000000000e+01 -2.67987180000000e+01 - 1902 -6.77140000000000e-01 3.81000000000000e+01 -1.14247510000000e+01 - 1903 -1.35097400000000e+01 3.81000000000000e+01 -1.91804350000000e+01 - 1904 -9.22033000000000e+00 3.05734400000000e+01 -1.02777710000000e+01 - 1905 3.81000000000000e+01 3.81000000000000e+01 -1.21411760000000e+01 - 1906 2.38444400000000e+01 8.70510000000000e+00 -1.24302380000000e+01 - 1907 3.81000000000000e+01 2.67283100000000e+01 -1.60107810000000e+01 - 1908 1.22841000000000e+01 3.81000000000000e+01 -3.61395900000000e+00 - 1909 2.52970700000000e+01 3.81000000000000e+01 -7.83274400000000e+00 - 1910 2.61413600000000e+01 1.99745300000000e+01 -9.75972100000000e+00 - 1911 1.82371700000000e+01 2.80411200000000e+01 -7.99685000000000e-01 - 1912 3.18754900000000e+01 2.74080500000000e+01 -8.79455900000000e+00 - 1913 1.22878900000000e+01 3.81000000000000e+01 -1.56769370000000e+01 - 1914 5.50325000000000e+00 3.14416600000000e+01 -6.94958800000000e+00 - 1915 1.24671200000000e+01 2.21444500000000e+01 -1.00968910000000e+01 - 1916 -1.33398000000000e+00 2.47491200000000e+01 -1.02958590000000e+01 - 1917 3.81000000000000e+01 3.81000000000000e+01 -2.42823530000000e+01 - 1918 2.52939800000000e+01 3.81000000000000e+01 -1.99201820000000e+01 - 1919 -3.81000000000000e+01 -3.81000000000000e+01 -2.22000000000000e+01 - 1920 -3.81000000000000e+01 -2.61456600000000e+01 -1.52763830000000e+01 - 1921 -2.60430900000000e+01 -3.81000000000000e+01 -1.66865500000000e+01 - 1922 -3.81000000000000e+01 -2.61550000000000e+01 -2.73268220000000e+01 - 1923 -3.81000000000000e+01 -3.81000000000000e+01 -3.42650000000000e+01 - 1924 -2.59880900000000e+01 -3.81000000000000e+01 -2.87942720000000e+01 - 1925 6.38040000000000e-01 -3.81000000000000e+01 -1.71056870000000e+01 - 1926 3.81000000000000e+01 -3.81000000000000e+01 -2.42823530000000e+01 - 1927 1.50032000000000e+01 -3.81000000000000e+01 -1.11821850000000e+01 - 1928 2.65664700000000e+01 -3.81000000000000e+01 -1.75658470000000e+01 - 1929 2.07152200000000e+01 -2.89178200000000e+01 -1.09651140000000e+01 - 1930 3.81000000000000e+01 -2.77563100000000e+01 -2.01567760000000e+01 - 1931 2.94878800000000e+01 -2.83390100000000e+01 -1.56137170000000e+01 - 1932 2.64852800000000e+01 -2.01994300000000e+01 -1.21950940000000e+01 - 1933 -1.96706000000000e+00 1.16896200000000e+01 -9.19249400000000e+00 - 1934 -1.99103100000000e+01 3.27872000000000e+00 -6.96767600000000e+00 - 1935 -1.24219000000000e+01 1.34622400000000e+01 -7.96251300000000e+00 - 1936 1.51079600000000e+01 -9.12961000000000e+00 -2.30098500000000e+00 - 1937 5.53943000000000e+00 -1.76852100000000e+01 -4.18213200000000e+00 - 1938 -3.21513000000000e+00 -1.37058600000000e+01 -7.05811600000000e+00 - 1939 6.58853000000000e+00 1.27096000000000e+00 -5.73769600000000e+00 - 1940 1.53069200000000e+01 -4.11210000000000e-01 -1.10374650000000e+01 - 1941 9.57304000000000e+00 1.18524100000000e+01 -7.94442600000000e+00 - 1942 -1.86984200000000e+01 -2.81219500000000e+01 -1.46731430000000e+01 - 1943 -1.12823500000000e+01 -1.80288800000000e+01 -1.26472930000000e+01 - 1944 -2.65485900000000e+01 -2.20624900000000e+01 -1.39858010000000e+01 - 1945 -9.70870000000000e+00 1.18052000000000e+00 -8.16148100000000e+00 - 1946 -1.74322600000000e+01 -9.32857000000000e+00 -7.14855600000000e+00 - 1947 -2.91353700000000e+01 -1.08137600000000e+01 -1.36169060000000e+01 - 1948 -2.44148800000000e+01 -1.68239000000000e+00 -1.66920700000000e+01 - 1949 -3.81000000000000e+01 5.14818000000000e+00 -3.05684040000000e+01 - 1950 -3.09244500000000e+01 1.13972400000000e+01 -2.85589660000000e+01 - 1951 -3.81000000000000e+01 -2.16539000000000e+00 -2.63909910000000e+01 - 1952 -2.67769800000000e+01 -1.78244000000000e+00 -2.66362740000000e+01 - 1953 -3.81000000000000e+01 -1.39503100000000e+01 -2.06746680000000e+01 - 1954 -6.99551000000000e+00 -3.17757200000000e+01 -1.44741750000000e+01 - 1955 -1.39706700000000e+01 -3.81000000000000e+01 -2.30263620000000e+01 - 1956 -3.81000000000000e+01 -1.39262500000000e+01 -3.27276550000000e+01 - 1957 -2.64943200000000e+01 -1.80107900000000e+01 -2.38799100000000e+01 - 1958 4.20540000000000e-01 -2.51555300000000e+01 -1.82002940000000e+01 - 1959 1.57410300000000e+01 -2.01270800000000e+01 -1.22312700000000e+01 - 1960 7.94513000000000e+00 -3.17938100000000e+01 -2.08049580000000e+01 - 1961 1.51161300000000e+01 -3.81000000000000e+01 -2.32925670000000e+01 - 1962 3.81000000000000e+01 -3.81000000000000e+01 -3.64235290000000e+01 - 1963 -3.81000000000000e+01 -4.60270000000000e-01 -3.82684830000000e+01 - 1964 -2.22798300000000e+01 1.51444100000000e+01 -2.34638880000000e+01 - 1965 -1.87526800000000e+01 2.87103800000000e+01 -2.22700820000000e+01 - 1966 -1.87526800000000e+01 2.87103800000000e+01 -3.24897730000000e+01 - 1967 -2.59716400000000e+01 3.81000000000000e+01 -3.88670540000000e+01 - 1968 -3.81000000000000e+01 2.49129100000000e+01 -4.06363810000000e+01 - 1969 -2.79775300000000e+01 2.84390600000000e+01 -3.54923740000000e+01 - 1970 -2.60163300000000e+01 1.77094400000000e+01 -3.15427720000000e+01 - 1971 -2.91532500000000e+01 1.14183000000000e+01 -3.83140950000000e+01 - 1972 -1.81919500000000e+01 7.00484000000000e+00 -2.09315740000000e+01 - 1973 -1.22048400000000e+01 1.97749300000000e+01 -1.71331040000000e+01 - 1974 3.81000000000000e+01 -1.56206900000000e+01 -2.25406500000000e+01 - 1975 3.81000000000000e+01 7.57550000000000e-01 -2.49152420000000e+01 - 1976 3.81000000000000e+01 -2.62179600000000e+01 -3.06499930000000e+01 - 1977 3.13147600000000e+01 -7.84536000000000e+00 -2.38437350000000e+01 - 1978 1.99012600000000e+01 -1.02329700000000e+01 -1.85258770000000e+01 - 1979 -3.81000000000000e+01 3.81000000000000e+01 -4.63300000000000e+01 - 1980 -3.81000000000000e+01 2.49027200000000e+01 -5.27036140000000e+01 - 1981 -3.81000000000000e+01 1.07519000000000e+01 -4.69732500000000e+01 - 1982 -2.59863600000000e+01 3.81000000000000e+01 -5.09409400000000e+01 - 1983 3.81000000000000e+01 2.63960100000000e+01 -2.86761950000000e+01 - 1984 2.42785500000000e+01 2.21860000000000e-01 -2.51822430000000e+01 - 1985 3.81000000000000e+01 1.53302500000000e+01 -2.07323130000000e+01 - 1986 -9.23842000000000e+00 3.05734400000000e+01 -2.51098900000000e+01 - 1987 -1.35218700000000e+01 3.81000000000000e+01 -3.12602660000000e+01 - 1988 -2.48700000000000e-01 1.31004800000000e+01 -2.14018610000000e+01 - 1989 1.55058900000000e+01 8.63275000000000e+00 -2.00814400000000e+01 - 1990 -4.65760000000000e-01 2.56535100000000e+01 -2.24509620000000e+01 - 1991 -6.87960000000000e-01 3.81000000000000e+01 -2.34987070000000e+01 - 1992 1.22792600000000e+01 3.81000000000000e+01 -2.77521870000000e+01 - 1993 2.75731000000000e+01 2.99491900000000e+01 -2.50907420000000e+01 - 1994 2.49662800000000e+01 1.91582400000000e+01 -2.12306610000000e+01 - 1995 2.07896900000000e+01 3.06530000000000e+01 -1.43951830000000e+01 - 1996 1.27022600000000e+01 2.21263600000000e+01 -2.18721490000000e+01 - 1997 3.81000000000000e+01 3.81000000000000e+01 -3.64235290000000e+01 - 1998 2.52931800000000e+01 3.81000000000000e+01 -3.20296560000000e+01 - 1999 3.81000000000000e+01 1.43765000000000e+01 -3.33273790000000e+01 - 2000 -2.65305000000000e+01 -2.61141900000000e+01 -2.82933690000000e+01 - 2001 -3.81000000000000e+01 -2.61456600000000e+01 -3.94063840000000e+01 - 2002 -3.81000000000000e+01 -3.81000000000000e+01 -4.63300000000000e+01 - 2003 -2.58523100000000e+01 -3.81000000000000e+01 -4.10485260000000e+01 - 2004 -3.81000000000000e+01 -1.39503100000000e+01 -4.48046680000000e+01 - 2005 -4.16927000000000e+00 -3.81000000000000e+01 -2.92056220000000e+01 - 2006 5.70288000000000e+00 -3.81000000000000e+01 -2.93118920000000e+01 - 2007 -1.38397500000000e+01 -3.81000000000000e+01 -3.52758730000000e+01 - 2008 4.20092000000000e+00 -2.99850100000000e+01 -3.10789150000000e+01 - 2009 2.65990800000000e+01 -3.81000000000000e+01 -2.96910760000000e+01 - 2010 2.26325400000000e+01 -3.07447100000000e+01 -2.30478650000000e+01 - 2011 2.65033700000000e+01 -2.05250100000000e+01 -2.54535620000000e+01 - 2012 -8.17123000000000e+00 5.23222000000000e+00 -1.75310400000000e+01 - 2013 -3.16500000000000e-02 -1.24216100000000e+01 -1.61744420000000e+01 - 2014 1.09658200000000e+01 -2.84600000000000e-01 -2.54354740000000e+01 - 2015 -1.89410100000000e+01 8.28859000000000e+00 -3.20570760000000e+01 - 2016 -1.31273300000000e+01 -2.00366400000000e+01 -2.38256450000000e+01 - 2017 -1.88431200000000e+01 -9.90739000000000e+00 -1.93579220000000e+01 - 2018 -1.52106500000000e+01 -1.35659000000000e+00 -2.61666220000000e+01 - 2019 -2.53264100000000e+01 2.10830000000000e-01 -3.77016490000000e+01 - 2020 -2.64762300000000e+01 -9.81695000000000e+00 -3.29781490000000e+01 - 2021 -4.00330000000000e+00 -2.59656000000000e+01 -3.09473530000000e+01 - 2022 -1.45827700000000e+01 -2.16302200000000e+01 -3.52195700000000e+01 - 2023 -3.16313000000000e+01 -6.94096000000000e+00 -4.15699270000000e+01 - 2024 -2.64943200000000e+01 -1.80107900000000e+01 -3.98877450000000e+01 - 2025 5.21385000000000e+00 -1.77032900000000e+01 -2.86189540000000e+01 - 2026 1.52164800000000e+01 -2.53183200000000e+01 -2.83114590000000e+01 - 2027 -6.66993000000000e+00 -3.17576300000000e+01 -3.88205570000000e+01 - 2028 1.51631500000000e+01 -3.81000000000000e+01 -3.54030100000000e+01 - 2029 2.92165600000000e+01 -2.65663900000000e+01 -3.48773840000000e+01 - 2030 2.66666900000000e+01 -3.81000000000000e+01 -4.17999860000000e+01 - 2031 3.81000000000000e+01 -2.50507200000000e+01 -4.31434460000000e+01 - 2032 3.81000000000000e+01 -3.81000000000000e+01 -4.85647060000000e+01 - 2033 -3.81000000000000e+01 -2.61550000000000e+01 -5.14568220000000e+01 - 2034 -3.81000000000000e+01 -3.81000000000000e+01 -5.83950000000000e+01 - 2035 -3.16132100000000e+01 1.08575700000000e+01 -5.34717980000000e+01 - 2036 -3.81000000000000e+01 5.14818000000000e+00 -5.46984040000000e+01 - 2037 -3.81000000000000e+01 -2.16539000000000e+00 -5.05209910000000e+01 - 2038 -2.70731300000000e+01 -1.46031000000000e+00 -5.03787570000000e+01 - 2039 -3.81000000000000e+01 -1.39262500000000e+01 -5.68576560000000e+01 - 2040 -3.81000000000000e+01 3.81000000000000e+01 -5.83950000000000e+01 - 2041 -3.81000000000000e+01 1.24665000000000e+01 -5.89008920000000e+01 - 2042 -1.35218200000000e+01 3.81000000000000e+01 -4.33278160000000e+01 - 2043 -1.71609400000000e+01 2.35914900000000e+01 -4.11719890000000e+01 - 2044 -1.21867500000000e+01 1.97930200000000e+01 -3.26163900000000e+01 - 2045 -9.23842000000000e+00 3.05734400000000e+01 -3.44251860000000e+01 - 2046 -1.29781000000000e+00 2.47852900000000e+01 -3.44613610000000e+01 - 2047 -2.46131700000000e+01 1.70255600000000e+01 -4.75027730000000e+01 - 2048 -2.52824300000000e+01 2.73537800000000e+01 -4.91849520000000e+01 - 2049 -1.98017800000000e+01 1.03330200000000e+01 -4.20040360000000e+01 - 2050 -7.62859000000000e+00 5.61206000000000e+00 -3.11512660000000e+01 - 2051 3.81000000000000e+01 2.88254000000000e+00 -3.86496360000000e+01 - 2052 2.95602300000000e+01 -5.40349000000000e+00 -3.67404440000000e+01 - 2053 2.56713200000000e+01 2.33815000000000e+00 -3.85854150000000e+01 - 2054 2.35188500000000e+01 -1.24758800000000e+01 -3.89652600000000e+01 - 2055 3.81000000000000e+01 -1.10055100000000e+01 -3.63361170000000e+01 - 2056 3.81000000000000e+01 -3.98632000000000e+00 -4.38844070000000e+01 - 2057 -7.91340000000000e-01 1.25578400000000e+01 -3.64329490000000e+01 - 2058 1.63741100000000e+01 -8.33374000000000e+00 -3.10246510000000e+01 - 2059 1.54154500000000e+01 5.79294000000000e+00 -3.53295820000000e+01 - 2060 -3.81000000000000e+01 2.49129100000000e+01 -6.47663810000000e+01 - 2061 -2.59965300000000e+01 3.81000000000000e+01 -6.30176070000000e+01 - 2062 -2.81394400000000e+01 2.86328000000000e+01 -5.92919500000000e+01 - 2063 -2.91057300000000e+01 1.93332600000000e+01 -5.63112530000000e+01 - 2064 -2.92834700000000e+01 1.27741200000000e+01 -6.35529330000000e+01 - 2065 -1.35447000000000e+01 3.81000000000000e+01 -5.54187460000000e+01 - 2066 -2.22255600000000e+01 1.51444100000000e+01 -5.50816230000000e+01 - 2067 -1.71790300000000e+01 2.35914900000000e+01 -5.67818910000000e+01 - 2068 3.81000000000000e+01 2.61822100000000e+01 -4.09712970000000e+01 - 2069 2.96214900000000e+01 2.22323500000000e+01 -3.21993060000000e+01 - 2070 3.81000000000000e+01 3.81000000000000e+01 -4.85647060000000e+01 - 2071 2.21938100000000e+01 1.39461600000000e+01 -3.43347470000000e+01 - 2072 -6.88020000000000e-01 3.81000000000000e+01 -3.55712150000000e+01 - 2073 1.22790400000000e+01 3.81000000000000e+01 -3.98552190000000e+01 - 2074 7.85469000000000e+00 1.71702600000000e+01 -3.58541340000000e+01 - 2075 7.61954000000000e+00 2.92530200000000e+01 -3.36474040000000e+01 - 2076 1.67901400000000e+01 2.60333600000000e+01 -3.14044970000000e+01 - 2077 2.52886200000000e+01 3.81000000000000e+01 -4.41486550000000e+01 - 2078 3.81000000000000e+01 2.70948000000000e+00 -4.95696370000000e+01 - 2079 3.10687000000000e+01 8.88888000000000e+00 -4.18665390000000e+01 - 2080 3.81000000000000e+01 1.42387100000000e+01 -4.54826530000000e+01 - 2081 -2.57646400000000e+01 -3.81000000000000e+01 -5.35186700000000e+01 - 2082 -2.16467500000000e+01 -2.99850100000000e+01 -4.68696940000000e+01 - 2083 -1.33251900000000e+01 -3.81000000000000e+01 -4.79086500000000e+01 - 2084 -2.62049100000000e+01 -1.79927000000000e+01 -5.61488150000000e+01 - 2085 -3.11435000000000e+00 -3.81000000000000e+01 -5.38422370000000e+01 - 2086 1.09974000000000e+00 -3.81000000000000e+01 -4.14470740000000e+01 - 2087 8.00390000000000e-01 -2.51555300000000e+01 -4.25104980000000e+01 - 2088 6.56306000000000e+00 -3.81000000000000e+01 -5.34038100000000e+01 - 2089 1.09115500000000e+01 -2.72718200000000e+01 -4.35957760000000e+01 - 2090 2.01544900000000e+01 -2.69100600000000e+01 -3.92004050000000e+01 - 2091 2.76860000000000e-01 -1.26542100000000e+01 -4.03256030000000e+01 - 2092 4.77420000000000e-01 1.13700000000000e-02 -3.87732160000000e+01 - 2093 -7.81940000000000e+00 -7.02363000000000e+00 -3.21635550000000e+01 - 2094 -1.44115700000000e+01 -2.20263200000000e+01 -5.14821240000000e+01 - 2095 -1.72642400000000e+01 1.63000000000000e-01 -4.58558500000000e+01 - 2096 -1.60345100000000e+01 -8.70320000000000e+00 -3.93728750000000e+01 - 2097 -8.14353000000000e+00 -1.69603500000000e+01 -4.51620100000000e+01 - 2098 -1.89697300000000e+01 -9.61798000000000e+00 -5.18438800000000e+01 - 2099 1.02704200000000e+01 -1.52498300000000e+01 -4.46393660000000e+01 - 2100 -2.16603000000000e+00 -1.35611500000000e+01 -5.28206290000000e+01 - 2101 -2.72675000000000e+00 -2.60056600000000e+01 -5.47741280000000e+01 - 2102 1.54785900000000e+01 -3.81000000000000e+01 -4.74585210000000e+01 - 2103 2.51829400000000e+01 -2.80676900000000e+01 -4.74304200000000e+01 - 2104 2.38444400000000e+01 -1.51348000000000e+01 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-3.23640001000000e+02 - 4155 1.65293640000000e+02 -9.84500000000000e+01 -3.30045683000000e+02 - 4156 1.59250830000000e+02 -9.29491700000000e+01 -3.31827271000000e+02 - 4157 1.57467570000000e+02 -7.76775300000000e+01 -3.39700000000000e+02 - 4158 1.57414910000000e+02 -8.43926100000000e+01 -3.29513428000000e+02 - 4159 1.69234650000000e+02 -9.84500000000000e+01 -3.18450936000000e+02 - 4160 1.90500000000000e+02 -8.71703700000000e+01 -3.10861622000000e+02 - 4161 1.82268250000000e+02 -8.40695100000000e+01 -3.04110626000000e+02 - 4162 1.79952740000000e+02 -9.84500000000000e+01 -3.10240569000000e+02 - 4163 1.68891700000000e+02 -8.72695500000000e+01 -3.15041656000000e+02 - 4164 1.90500000000000e+02 -7.57925100000000e+01 -3.04877364000000e+02 - 4165 1.75674690000000e+02 -7.77191100000000e+01 -3.09380127000000e+02 - 4166 1.74982480000000e+02 -6.10145000000000e+01 -3.18376190000000e+02 - 4167 1.90500000000000e+02 -6.89443400000000e+01 -3.29283172000000e+02 - 4168 1.90500000000000e+02 -7.52153400000000e+01 -3.18450936000000e+02 - 4169 1.83000320000000e+02 -6.59619500000000e+01 -3.34486206000000e+02 - 4170 1.90500000000000e+02 -6.32800300000000e+01 -3.20327023000000e+02 - 4171 1.82706810000000e+02 -6.80247100000000e+01 -3.13927765000000e+02 - 4172 1.85152780000000e+02 -6.15484900000000e+01 -3.26491333000000e+02 - 4173 1.67010570000000e+02 -6.26699400000000e+01 -3.25912506000000e+02 - 4174 1.61562060000000e+02 -8.76482200000000e+01 -3.39700000000000e+02 - 4175 1.77021390000000e+02 -7.43967700000000e+01 -3.39700000000000e+02 - 4176 1.72002830000000e+02 -6.85123500000000e+01 -3.32767853000000e+02 - 4177 1.66532540000000e+02 -7.87608700000000e+01 -3.39700000000000e+02 - 4178 1.68266120000000e+02 -7.51578300000000e+01 -3.20586426000000e+02 - 4179 1.62199170000000e+02 -7.35408000000000e+01 -3.28137329000000e+02 - 4180 1.90500000000000e+02 -9.84500000000000e+01 -3.15900000000000e+02 - 4181 1.90500000000000e+02 -7.62000000000000e+01 -3.39700000000000e+02 - 4182 1.68250000000000e+02 -9.84500000000000e+01 -3.39700000000000e+02 - 4183 1.90500000000000e+02 -7.91563600000000e+01 -3.30045683000000e+02 - 4184 1.68276710000000e+02 -9.15202200000000e+01 -3.25912506000000e+02 - 4185 1.75505650000000e+02 -9.84500000000000e+01 -3.29283172000000e+02 - 4186 1.81169960000000e+02 -9.84500000000000e+01 -3.20327023000000e+02 - 4187 1.90500000000000e+02 -8.76165800000000e+01 -3.23640001000000e+02 - 4188 1.67390410000000e+02 -8.49723800000000e+01 -3.33002991000000e+02 - 4189 1.75747050000000e+02 -8.72876400000000e+01 -3.22222565000000e+02 - 4190 1.83416330000000e+02 -8.29646200000000e+01 -3.18442169000000e+02 - 4191 1.82202170000000e+02 -7.40461300000000e+01 -3.26399750000000e+02 - 4192 1.72286010000000e+02 -8.68487200000000e+01 -3.39700000000000e+02 - 4193 1.81848380000000e+02 -8.42042900000000e+01 -3.39700000000000e+02 - 4194 1.75095880000000e+02 -7.97992300000000e+01 -3.29873779000000e+02 - 4195 1.90500000000000e+02 -9.84500000000000e+01 -3.27800000000000e+02 - 4196 1.90500000000000e+02 -8.73250000000000e+01 -3.39700000000000e+02 - 4197 1.79375000000000e+02 -9.84500000000000e+01 -3.39700000000000e+02 - 4198 1.81227690000000e+02 -8.72333800000000e+01 -3.31809174000000e+02 - 4199 1.90500000000000e+02 -9.84500000000000e+01 -3.39700000000000e+02 +# Flattened data extracted from tetra_duct12.jl +# First column removed; already flat vectors + +const TETS_duct12 = [ + 1, + 2, + 3, + 4, + 59, + 59, + 60, + 60, + 73, + 73, + 72, + 73, + 73, + 72, + 73, + 72, + 72, + 72, + 9, + 8, + 71, + 77, + 71, + 77, + 8, + 77, + 71, + 77, + 77, + 77, + 77, + 78, + 78, + 10, + 25, + 25, + 19, + 25, + 25, + 12, + 12, + 12, + 12, + 13, + 13, + 13, + 13, + 88, + 88, + 88, + 92, + 92, + 92, + 15, + 92, + 92, + 18, + 92, + 92, + 92, + 87, + 89, + 94, + 94, + 94, + 20, + 95, + 95, + 88, + 95, + 95, + 25, + 25, + 25, + 94, + 91, + 20, + 44, + 48, + 80, + 20, + 95, + 91, + 97, + 21, + 21, + 97, + 49, + 27, + 97, + 21, + 101, + 22, + 71, + 99, + 99, + 71, + 99, + 99, + 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-277.740723, + -280.873505, + -282.266296, + -286.614079, + -304.0, + -298.547756, + -286.608825, + -280.870694, + -292.1, + -286.608825, + -286.614079, + -292.670656, + -284.816681, + -286.752106, + -289.93927, + -292.670656, + -298.418666, + -292.66684, + -298.547756, + -304.0, + -339.7, + -339.7, + -289.700439, + -293.18219, + -295.651367, + -301.791107, + -301.80127, + -319.002899, + -305.581665, + -305.129456, + -309.8685, + -310.240569, + -315.9, + -308.710876, + -317.971893, + -316.588409, + -306.938232, + -327.8, + -339.7, + -327.79364, + -292.1, + -339.7, + -339.7, + -315.9, + -327.8, + -339.7, + -326.527496, + -331.880951, + -317.031311, + -291.735687, + -292.784485, + -289.241425, + -298.418666, + -310.861622, + -304.877364, + -298.547756, + -292.670656, + -298.418666, + -292.66684, + -304.534576, + -297.225006, + -304.877364, + -307.467499, + -310.240569, + -310.861622, + -315.9, + -339.7, + -323.640001, + -327.8, + -320.327023, + -318.450936, + -329.283172, + -339.7, + -330.045683, + -339.7, + -339.7, + -303.338745, + -313.34137, + -316.14212, + -324.447388, + -316.343994, + -319.256134, + -326.690277, + -339.7, + -331.827271, + -304.0, + -339.7, + -339.7, + -323.640001, + -330.045683, + -331.827271, + -339.7, + -329.513428, + -318.450936, + -310.861622, + -304.110626, + -310.240569, + -315.041656, + -304.877364, + -309.380127, + -318.37619, + -329.283172, + -318.450936, + -334.486206, + -320.327023, + -313.927765, + -326.491333, + -325.912506, + -339.7, + -339.7, + -332.767853, + -339.7, + -320.586426, + -328.137329, + -315.9, + -339.7, + -339.7, + -330.045683, + -325.912506, + -329.283172, + -320.327023, + -323.640001, + -333.002991, + -322.222565, + -318.442169, + -326.39975, + -339.7, + -339.7, + -329.873779, + -327.8, + -339.7, + -339.7, + -331.809174, + -339.7, ] - const Const_duct12 = [ 1, 2, @@ -25324,6 +91389,3 @@ const Const_duct12 = [ 4197, 4199, ] - -const TETS_duct12 = vec(reshape(_TETS_duct12[:, 2:5], 19222 * 4, 1)) -const xe_duct12 = vec(reshape(_xe_duct12[:, 2:4], 4199 * 3, 1)) diff --git a/data/tetra_duct15.jl b/data/tetra_duct15.jl index 8e4392f8..ec4cef8d 100644 --- a/data/tetra_duct15.jl +++ b/data/tetra_duct15.jl @@ -1,11148 +1,42427 @@ -const _xe_duct15 = [ - 1 -3.81000000000000e+01 -3.81000000000000e+01 2.19100000000000e+02 - 2 3.81000000000000e+01 -3.81000000000000e+01 2.19100000000000e+02 - 3 -3.81000000000000e+01 3.81000000000000e+01 2.19100000000000e+02 - 4 -2.28600000000000e+01 -3.81000000000000e+01 2.19100000000000e+02 - 5 3.81000000000000e+01 3.81000000000000e+01 2.19100000000000e+02 - 6 -2.28600000000000e+01 3.81000000000000e+01 2.19100000000000e+02 - 7 -3.81000000000000e+01 7.62000000000000e+00 2.19100000000000e+02 - 8 -3.81000000000000e+01 2.28600000000000e+01 2.19100000000000e+02 - 9 2.28600000000000e+01 -3.81000000000000e+01 2.19100000000000e+02 - 10 -3.81000000000000e+01 -2.28600000000000e+01 2.19100000000000e+02 - 11 -3.81000000000000e+01 -3.81000000000000e+01 2.04018750000000e+02 - 12 7.62000000000000e+00 -3.81000000000000e+01 2.19100000000000e+02 - 13 -2.42871000000000e+01 -1.77178800000000e+01 2.19100000000000e+02 - 14 -3.81000000000000e+01 -7.62000000000000e+00 2.19100000000000e+02 - 15 -3.12152800000000e+01 -2.09772100000000e+01 2.09183334000000e+02 - 16 4.55100000000000e-01 -2.41963400000000e+01 2.19100000000000e+02 - 17 -7.62000000000000e+00 -3.81000000000000e+01 2.19100000000000e+02 - 18 -1.28453700000000e+01 -2.58213000000000e+01 2.19100000000000e+02 - 19 -1.56958100000000e+01 -2.65121300000000e+01 2.08079971000000e+02 - 20 2.28600000000000e+01 3.81000000000000e+01 2.19100000000000e+02 - 21 -7.62000000000000e+00 3.81000000000000e+01 2.19100000000000e+02 - 22 -1.68043900000000e+01 2.37892700000000e+01 2.19100000000000e+02 - 23 3.81000000000000e+01 -2.28600000000000e+01 2.19100000000000e+02 - 24 3.81000000000000e+01 -7.62000000000000e+00 2.19100000000000e+02 - 25 -1.00057200000000e+01 -1.15369300000000e+01 2.19100000000000e+02 - 26 -8.32348000000000e+00 7.43103000000000e+00 2.19100000000000e+02 - 27 7.62000000000000e+00 3.81000000000000e+01 2.19100000000000e+02 - 28 1.28907600000000e+01 2.58514800000000e+01 2.19100000000000e+02 - 29 -3.98640000000000e-01 2.42025900000000e+01 2.19100000000000e+02 - 30 2.43132100000000e+01 1.77173900000000e+01 2.19100000000000e+02 - 31 2.51012400000000e+01 -1.21219500000000e+01 2.19100000000000e+02 - 32 1.00796000000000e+01 1.15554600000000e+01 2.19100000000000e+02 - 33 3.81000000000000e+01 -3.81000000000000e+01 2.03612500000000e+02 - 34 1.90500000000000e+02 -9.84500000000000e+01 9.52000000000000e+01 - 35 -3.81000000000000e+01 3.81000000000000e+01 2.04018750000000e+02 - 36 1.28389700000000e+01 -3.81000000000000e+01 2.07028235000000e+02 - 37 -2.39546600000000e+01 -1.60373000000000e+00 2.19100000000000e+02 - 38 -2.50729500000000e+01 1.21368000000000e+01 2.19100000000000e+02 - 39 -3.81000000000000e+01 -1.28677900000000e+01 2.07247502000000e+02 - 40 -3.81000000000000e+01 -3.81000000000000e+01 1.88937500000000e+02 - 41 -2.49657400000000e+01 -3.81000000000000e+01 1.93589156000000e+02 - 42 -1.67246800000000e+01 -3.81000000000000e+01 2.05087492000000e+02 - 43 3.81000000000000e+01 7.62000000000000e+00 2.19100000000000e+02 - 44 2.40056800000000e+01 1.60228000000000e+00 2.19100000000000e+02 - 45 3.81000000000000e+01 2.28600000000000e+01 2.19100000000000e+02 - 46 3.81000000000000e+01 3.81000000000000e+01 2.03612500000000e+02 - 47 -1.28740600000000e+01 3.81000000000000e+01 2.07170270000000e+02 - 48 -2.42243400000000e+01 3.81000000000000e+01 1.99224598000000e+02 - 49 -3.81000000000000e+01 3.10900000000000e-01 2.05693563000000e+02 - 50 -3.81000000000000e+01 1.66893100000000e+01 2.05165610000000e+02 - 51 1.68846700000000e+01 -2.37715900000000e+01 2.19100000000000e+02 - 52 2.41944600000000e+01 -3.81000000000000e+01 1.98814363000000e+02 - 53 -3.81000000000000e+01 -2.42082700000000e+01 1.99298122000000e+02 - 54 -3.66770000000000e-01 -3.81000000000000e+01 2.05526328000000e+02 - 55 1.29374000000000e+01 -2.34733500000000e+01 2.05402954000000e+02 - 56 8.41352000000000e+00 -7.39559000000000e+00 2.19100000000000e+02 - 57 -1.95123700000000e+01 -1.10469300000000e+01 2.10539932000000e+02 - 58 -1.87888500000000e+01 -2.72718200000000e+01 1.96123825000000e+02 - 59 -2.88638400000000e+01 -1.05585500000000e+01 2.02110947000000e+02 - 60 -5.13245000000000e+00 -1.52433300000000e+01 2.05439133000000e+02 - 61 -1.86622400000000e+01 1.55604400000000e+01 2.05873230000000e+02 - 62 3.12062300000000e+01 2.09506500000000e+01 2.08893921000000e+02 - 63 1.67152300000000e+01 3.81000000000000e+01 2.04901869000000e+02 - 64 -1.32691300000000e+01 2.86208600000000e+01 1.99934036000000e+02 - 65 3.15480000000000e-01 3.81000000000000e+01 2.05554276000000e+02 - 66 -1.32720300000000e+01 3.22446000000000e+00 2.05167801000000e+02 - 67 -1.87662000000000e+00 2.37723700000000e+01 2.05674271000000e+02 - 68 3.81000000000000e+01 -1.67688200000000e+01 2.04765996000000e+02 - 69 3.81000000000000e+01 1.28184300000000e+01 2.06894100000000e+02 - 70 3.81000000000000e+01 -4.09940000000000e-01 2.05322645000000e+02 - 71 3.91151000000000e+00 2.80843000000000e+00 2.05131638000000e+02 - 72 9.35599000000000e+00 2.02452200000000e+01 2.09382294000000e+02 - 73 1.95033300000000e+01 1.10022700000000e+01 2.10322876000000e+02 - 74 1.83818800000000e+01 -7.61022000000000e+00 2.08966278000000e+02 - 75 3.81000000000000e+01 -2.49199800000000e+01 1.92960533000000e+02 - 76 3.81000000000000e+01 -3.81000000000000e+01 1.88125000000000e+02 - 77 1.90500000000000e+02 -5.39500000000000e+01 9.52000000000000e+01 - 78 1.90500000000000e+02 -6.87833300000000e+01 9.52000000000000e+01 - 79 1.90500000000000e+02 -9.84500000000000e+01 4.76000000000000e+01 - 80 1.90500000000000e+02 -8.36166600000000e+01 9.52000000000000e+01 - 81 1.75666660000000e+02 -9.84500000000000e+01 9.52000000000000e+01 - 82 1.90500000000000e+02 -7.51979000000000e+01 8.13574730000000e+01 - 83 1.90500000000000e+02 -9.84500000000000e+01 6.34666670000000e+01 - 84 1.90500000000000e+02 -9.84500000000000e+01 7.93333330000000e+01 - 85 1.90500000000000e+02 -8.09907900000000e+01 6.70466420000000e+01 - 86 1.90500000000000e+02 -9.84500000000000e+01 3.17333330000000e+01 - 87 1.90500000000000e+02 -8.37433100000000e+01 3.67620940000000e+01 - 88 1.78088840000000e+02 -9.84500000000000e+01 6.96730140000000e+01 - 89 -3.81000000000000e+01 2.49590000000000e+01 1.93659965000000e+02 - 90 -3.81000000000000e+01 3.81000000000000e+01 1.88937500000000e+02 - 91 -3.81000000000000e+01 -2.35554000000000e+01 1.83538723000000e+02 - 92 -3.81000000000000e+01 -3.81000000000000e+01 1.73856250000000e+02 - 93 9.99399000000000e+00 -3.81000000000000e+01 1.93378957000000e+02 - 94 -2.84659100000000e+01 3.85753000000000e+00 1.97245285000000e+02 - 95 -3.81000000000000e+01 -1.00722900000000e+01 1.93804815000000e+02 - 96 -2.34938900000000e+01 -3.81000000000000e+01 1.80257180000000e+02 - 97 -7.97044000000000e+00 -3.81000000000000e+01 1.89552409000000e+02 - 98 2.88367100000000e+01 1.04596400000000e+01 2.01640656000000e+02 - 99 3.81000000000000e+01 2.41827300000000e+01 1.98666778000000e+02 - 100 2.49373100000000e+01 3.81000000000000e+01 1.93103942000000e+02 - 101 3.81000000000000e+01 3.81000000000000e+01 1.88125000000000e+02 - 102 -1.00900600000000e+01 3.81000000000000e+01 1.93616130000000e+02 - 103 -2.72359300000000e+01 1.87258300000000e+01 1.96141922000000e+02 - 104 -2.35736800000000e+01 3.81000000000000e+01 1.83412405000000e+02 - 105 -1.19419600000000e+01 2.02753900000000e+01 1.91913300000000e+02 - 106 -3.81000000000000e+01 7.92458000000000e+00 1.89821612000000e+02 - 107 8.15297000000000e+00 -3.81000000000000e+01 1.77352574000000e+02 - 108 2.35156700000000e+01 -3.81000000000000e+01 1.82723690000000e+02 - 109 2.71907100000000e+01 -1.87704800000000e+01 1.95780167000000e+02 - 110 1.61027900000000e+01 -2.07782500000000e+01 1.86663834000000e+02 - 111 -2.08870600000000e+01 -1.62562600000000e+01 1.87007507000000e+02 - 112 3.48720000000000e-01 -1.93141100000000e+01 1.91413330000000e+02 - 113 9.75085000000000e+00 -8.48162000000000e+00 1.95638077000000e+02 - 114 -1.26570400000000e+01 -5.81951000000000e+00 1.91366699000000e+02 - 115 -1.81376900000000e+01 7.65600000000000e+00 1.88183228000000e+02 - 116 7.89423000000000e+00 3.81000000000000e+01 1.89379382000000e+02 - 117 1.86712800000000e+01 2.71548100000000e+01 1.95725891000000e+02 - 118 -2.05750000000000e+00 2.86018500000000e+01 1.90715530000000e+02 - 119 -5.38110000000000e-01 1.29015100000000e+01 1.91294342000000e+02 - 120 3.81000000000000e+01 -8.05182000000000e+00 1.88887852000000e+02 - 121 3.81000000000000e+01 9.91259000000000e+00 1.93017630000000e+02 - 122 1.83999600000000e+01 6.96866000000000e+00 1.91203903000000e+02 - 123 3.81000000000000e+01 -2.34939800000000e+01 1.79290720000000e+02 - 124 3.81000000000000e+01 -3.81000000000000e+01 1.72637500000000e+02 - 125 2.01174000000000e+01 -8.57453000000000e+00 1.81908401000000e+02 - 126 1.60833330000000e+02 -9.84500000000000e+01 9.52000000000000e+01 - 127 1.90500000000000e+02 -6.63611500000000e+01 6.96730140000000e+01 - 128 1.77349470000000e+02 -7.08007100000000e+01 9.52000000000000e+01 - 129 1.46000000000000e+02 -9.84500000000000e+01 9.52000000000000e+01 - 130 1.75666660000000e+02 -5.39500000000000e+01 9.52000000000000e+01 - 131 1.84881470000000e+02 -6.45872600000000e+01 8.52627870000000e+01 - 132 1.66934360000000e+02 -8.17389500000000e+01 9.52000000000000e+01 - 133 1.66136440000000e+02 -6.56463200000000e+01 9.52000000000000e+01 - 134 1.90500000000000e+02 -5.39500000000000e+01 7.93333330000000e+01 - 135 1.79274200000000e+02 -6.03727700000000e+01 7.53144070000000e+01 - 136 1.90500000000000e+02 -6.78474000000000e+01 5.68900690000000e+01 - 137 1.90500000000000e+02 -5.39500000000000e+01 6.34666670000000e+01 - 138 1.90500000000000e+02 -8.29669100000000e+01 5.21924770000000e+01 - 139 1.76602590000000e+02 -9.84500000000000e+01 5.68900690000000e+01 - 140 1.75717490000000e+02 -9.84500000000000e+01 4.19933270000000e+01 - 141 1.69252090000000e+02 -9.84500000000000e+01 8.13574730000000e+01 - 142 1.78930520000000e+02 -8.13547900000000e+01 8.08674090000000e+01 - 143 1.79834930000000e+02 -8.83910000000000e+01 6.50404510000000e+01 - 144 1.81679900000000e+02 -7.78276400000000e+01 6.01928830000000e+01 - 145 1.77374960000000e+02 -6.59076800000000e+01 6.36115070000000e+01 - 146 1.90500000000000e+02 -9.84500000000000e+01 0.00000000000000e+00 - 147 1.90500000000000e+02 -9.84500000000000e+01 1.58666670000000e+01 - 148 1.90500000000000e+02 -8.36166600000000e+01 0.00000000000000e+00 - 149 1.90500000000000e+02 -6.87325000000000e+01 4.19933270000000e+01 - 150 1.90500000000000e+02 -5.39500000000000e+01 4.76000000000000e+01 - 151 1.90500000000000e+02 -6.96709100000000e+01 2.67771930000000e+01 - 152 1.90500000000000e+02 -5.39500000000000e+01 3.17333330000000e+01 - 153 1.90500000000000e+02 -5.39500000000000e+01 0.00000000000000e+00 - 154 1.90500000000000e+02 -5.39500000000000e+01 1.58666670000000e+01 - 155 1.90500000000000e+02 -7.22251400000000e+01 1.29005690000000e+01 - 156 1.90500000000000e+02 -8.43343300000000e+01 2.07526650000000e+01 - 157 1.81951210000000e+02 -6.54012200000000e+01 1.86991250000000e+01 - 158 1.80685050000000e+02 -7.65976600000000e+01 3.43271140000000e+01 - 159 1.75258660000000e+02 -6.88379300000000e+01 4.87793880000000e+01 - 160 1.74779080000000e+02 -9.84500000000000e+01 2.67771930000000e+01 - 161 1.72224850000000e+02 -9.84500000000000e+01 1.29005690000000e+01 - 162 1.84121760000000e+02 -8.22772800000000e+01 1.02520520000000e+01 - 163 1.79436990000000e+02 -9.03987700000000e+01 1.85544220000000e+01 - 164 1.63459200000000e+02 -9.84500000000000e+01 6.70466420000000e+01 - 165 3.81000000000000e+01 2.34251100000000e+01 1.82384538000000e+02 - 166 3.81000000000000e+01 3.81000000000000e+01 1.72637500000000e+02 - 167 -3.81000000000000e+01 2.34795600000000e+01 1.80386292000000e+02 - 168 -3.81000000000000e+01 3.81000000000000e+01 1.73856250000000e+02 - 169 -3.81000000000000e+01 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6.04931300000000e+01 -3.50872300000000e+01 -2.72225586000000e+02 - 1818 7.40666600000000e+01 7.41666000000000e+00 -3.39700000000000e+02 - 1819 5.44561800000000e+01 2.29139000000000e+00 -3.39700000000000e+02 - 1820 5.09582700000000e+01 6.62499000000000e+00 -3.27305267000000e+02 - 1821 6.68081800000000e+01 1.36089100000000e+01 -3.25741854000000e+02 - 1822 7.20420000000000e+01 9.14391000000000e+00 -3.11191794000000e+02 - 1823 3.81000000000000e+01 -3.81000000000000e+01 -2.95266667000000e+02 - 1824 4.02682900000000e+01 -2.49746500000000e+01 -3.08511902000000e+02 - 1825 5.09793800000000e+01 -4.53036200000000e+01 -2.87937959000000e+02 - 1826 4.02140300000000e+01 -2.46852400000000e+01 -2.93516998000000e+02 - 1827 7.92011400000000e+01 3.03641000000000e+00 -3.25537454000000e+02 - 1828 5.87360900000000e+01 -1.42665800000000e+01 -3.29204529000000e+02 - 1829 5.33458800000000e+01 -2.00728200000000e+01 -3.05961487000000e+02 - 1830 4.96938500000000e+01 -7.38822000000000e+00 -3.22402435000000e+02 - 1831 5.03132200000000e+01 -1.99655600000000e+01 -3.19825775000000e+02 - 1832 5.28213300000000e+01 -1.93493000000000e+01 -2.93354187000000e+02 - 1833 6.13226700000000e+01 -2.36471000000000e+00 -3.10284515000000e+02 - 1834 7.85991200000000e+01 3.55000000000000e+00 -2.97026192000000e+02 - 1835 6.58265700000000e+01 -5.72907000000000e+00 -2.90803802000000e+02 - 1836 6.05448900000000e+01 -3.52847800000000e+01 -2.84491089000000e+02 - 1837 6.59893600000000e+01 -1.69616900000000e+01 -2.79118988000000e+02 - 1838 6.56095200000000e+01 -2.46852400000000e+01 -2.91020844000000e+02 - 1839 6.59446000000000e+01 -5.36738800000000e+01 -2.60780194000000e+02 - 1840 7.62000000000000e+01 -4.31582200000000e+01 -2.44500000000000e+02 - 1841 7.62000000000000e+01 -5.94098700000000e+01 -2.44500000000000e+02 - 1842 8.58264300000000e+01 -2.61564000000000e+00 -2.87057206000000e+02 - 1843 9.94666600000000e+01 -1.42521900000000e+01 -2.44500000000000e+02 - 1844 7.20126500000000e+01 -3.53571400000000e+01 -2.56201538000000e+02 - 1845 9.27604200000000e+01 -3.11712600000000e+01 -2.44500000000000e+02 - 1846 9.42700900000000e+01 -9.81897000000000e+00 -2.59378468000000e+02 - 1847 8.66277100000000e+01 -4.07292500000000e+01 -2.54356583000000e+02 - 1848 8.44571600000000e+01 -2.30935000000000e+01 -2.54266129000000e+02 - 1849 7.15061800000000e+01 -2.72175600000000e+01 -2.69152527000000e+02 - 1850 8.90994200000000e+01 -5.40785000000000e+00 -2.74192770000000e+02 - 1851 7.95043100000000e+01 -1.48434200000000e+01 -2.78377441000000e+02 - 1852 8.20333700000000e+01 -1.92045900000000e+01 -2.65950958000000e+02 - 1853 6.81095500000000e+01 -8.81908000000000e+00 -3.39700000000000e+02 - 1854 5.13947600000000e+01 -2.99425400000000e+01 -3.39700000000000e+02 - 1855 5.15875000000000e+01 -4.56437500000000e+01 -3.39700000000000e+02 - 1856 4.79655200000000e+01 -4.36179300000000e+01 -3.19821347000000e+02 - 1857 4.93114600000000e+01 -3.59932900000000e+01 -3.29640045000000e+02 - 1858 4.93277100000000e+01 -3.19544800000000e+01 -3.18712616000000e+02 - 1859 6.30662900000000e+01 -2.25574900000000e+01 -3.39700000000000e+02 - 1860 7.74390400000000e+01 -4.24295200000000e+01 -2.66529755000000e+02 - 1861 5.21591000000000e+01 -4.59634500000000e+01 -3.05336279000000e+02 - 1862 6.81599200000000e+01 -3.89928100000000e+01 -2.92305084000000e+02 - 1863 6.35906500000000e+01 -5.23572800000000e+01 -2.79735005000000e+02 - 1864 7.19403000000000e+01 -4.15070400000000e+01 -2.81597015000000e+02 - 1865 6.20771500000000e+01 -5.15107600000000e+01 -2.94121877000000e+02 - 1866 8.46563500000000e+01 -1.61744000000000e+00 -3.11560174000000e+02 - 1867 8.60555500000000e+01 -2.81111000000000e+00 -3.39700000000000e+02 - 1868 9.13585800000000e+01 -7.33515000000000e+00 -3.25395588000000e+02 - 1869 6.54390200000000e+01 -8.10340000000000e+00 -3.21448486000000e+02 - 1870 6.22451500000000e+01 -3.54294800000000e+01 -3.03591980000000e+02 - 1871 7.86147500000000e+01 -1.34888000000000e+01 -3.14209595000000e+02 - 1872 7.04288200000000e+01 -1.58034200000000e+01 -3.30559357000000e+02 - 1873 5.98692400000000e+01 -2.98378400000000e+01 -3.28240417000000e+02 - 1874 6.53061600000000e+01 -1.74506300000000e+01 -3.09692322000000e+02 - 1875 8.17620600000000e+01 -3.31142300000000e+01 -2.78431641000000e+02 - 1876 9.01406700000000e+01 -6.29614000000000e+00 -2.98748002000000e+02 - 1877 7.82710800000000e+01 -1.07394300000000e+01 -3.01077759000000e+02 - 1878 8.00437000000000e+01 -1.45379000000000e+01 -2.88777954000000e+02 - 1879 7.80359400000000e+01 -2.98584000000000e+01 -2.88741760000000e+02 - 1880 7.67878700000000e+01 -2.92795800000000e+01 -3.00426575000000e+02 - 1881 1.11100000000000e+02 -2.41766400000000e+01 -2.44500000000000e+02 - 1882 1.00483080000000e+02 -3.65690300000000e+01 -2.54428925000000e+02 - 1883 1.07228210000000e+02 -4.14487900000000e+01 -2.44500000000000e+02 - 1884 7.50588000000000e+01 -5.87715800000000e+01 -2.72990414000000e+02 - 1885 8.18063600000000e+01 -6.25455800000000e+01 -2.59634772000000e+02 - 1886 9.01600000000000e+01 -6.72178900000000e+01 -2.44500000000000e+02 - 1887 9.12549700000000e+01 -5.01966100000000e+01 -2.44500000000000e+02 - 1888 9.21807100000000e+01 -5.04063100000000e+01 -2.64395386000000e+02 - 1889 9.55020200000000e+01 -1.08699400000000e+01 -2.86884067000000e+02 - 1890 8.94812300000000e+01 -2.09813100000000e+01 -2.83367310000000e+02 - 1891 1.00914990000000e+02 -1.54877600000000e+01 -2.73739582000000e+02 - 1892 1.06205800000000e+02 -2.00013800000000e+01 -2.59169108000000e+02 - 1893 9.22404900000000e+01 -2.90982800000000e+01 -2.64633881000000e+02 - 1894 9.16380700000000e+01 -2.46490700000000e+01 -2.75230072000000e+02 - 1895 1.05405480000000e+02 -5.85782200000000e+01 -2.44500000000000e+02 - 1896 9.80444400000000e+01 -1.30388800000000e+01 -3.39700000000000e+02 - 1897 7.91532300000000e+01 -2.28091800000000e+01 -3.39700000000000e+02 - 1898 6.49940100000000e+01 -3.62022600000000e+01 -3.39700000000000e+02 - 1899 6.50750000000000e+01 -5.31875000000000e+01 -3.39700000000000e+02 - 1900 5.98718700000000e+01 -5.02773100000000e+01 -3.22404259000000e+02 - 1901 6.62245100000000e+01 -3.78171000000000e+01 -3.19617889000000e+02 - 1902 7.21573500000000e+01 -3.10522000000000e+01 -3.29331116000000e+02 - 1903 8.28292400000000e+01 -4.94295600000000e+01 -2.76767548000000e+02 - 1904 9.87638100000000e+01 -3.75252100000000e+01 -2.73134979000000e+02 - 1905 6.75130100000000e+01 -5.45511100000000e+01 -3.07193139000000e+02 - 1906 7.35139500000000e+01 -4.17421800000000e+01 -3.04948578000000e+02 - 1907 8.28473300000000e+01 -4.20315900000000e+01 -2.88814117000000e+02 - 1908 7.58619100000000e+01 -5.92207700000000e+01 -2.89883684000000e+02 - 1909 7.92130600000000e+01 -4.27548800000000e+01 -3.39700000000000e+02 - 1910 9.65227300000000e+01 -1.17407100000000e+01 -3.11175446000000e+02 - 1911 9.97081100000000e+01 -1.44581700000000e+01 -2.98446830000000e+02 - 1912 8.82918000000000e+01 -1.95301800000000e+01 -3.27630859000000e+02 - 1913 1.03606960000000e+02 -1.77842900000000e+01 -3.24811001000000e+02 - 1914 8.51445000000000e+01 -3.21193900000000e+01 -3.29928040000000e+02 - 1915 8.76406400000000e+01 -2.10857400000000e+01 -3.13902100000000e+02 - 1916 7.70230100000000e+01 -2.93700200000000e+01 -3.16741913000000e+02 - 1917 9.87104600000000e+01 -3.03106000000000e+01 -2.84527283000000e+02 - 1918 9.05708900000000e+01 -2.34552600000000e+01 -2.97405884000000e+02 - 1919 8.86897400000000e+01 -3.61530000000000e+01 -3.01113922000000e+02 - 1920 7.33221400000000e+01 -5.78002400000000e+01 -3.23357576000000e+02 - 1921 1.22733330000000e+02 -3.41010900000000e+01 -2.44500000000000e+02 - 1922 1.20462810000000e+02 -5.08133000000000e+01 -2.44500000000000e+02 - 1923 1.18201790000000e+02 -3.02352100000000e+01 -2.58989916000000e+02 - 1924 1.04120000000000e+02 -7.50259200000000e+01 -2.44500000000000e+02 - 1925 1.08134290000000e+02 -4.19049700000000e+01 -2.64232605000000e+02 - 1926 1.12204070000000e+02 -5.12564400000000e+01 -2.54012909000000e+02 - 1927 8.75664000000000e+01 -6.57672600000000e+01 -2.74955434000000e+02 - 1928 9.60172800000000e+01 -7.04939500000000e+01 -2.59734027000000e+02 - 1929 1.04064490000000e+02 -6.09335000000000e+01 -2.56888885000000e+02 - 1930 1.00428820000000e+02 -5.59593100000000e+01 -2.74271423000000e+02 - 1931 1.06840840000000e+02 -2.05431400000000e+01 -2.88480458000000e+02 - 1932 1.13133110000000e+02 -2.59111000000000e+01 -2.73990760000000e+02 - 1933 1.06868130000000e+02 -4.27008400000000e+01 -2.84129333000000e+02 - 1934 1.19275460000000e+02 -6.70963400000000e+01 -2.44500000000000e+02 - 1935 1.18080000000000e+02 -8.28339400000000e+01 -2.44500000000000e+02 - 1936 1.46000000000000e+02 -5.39500000000000e+01 -2.44500000000000e+02 - 1937 1.60833330000000e+02 -5.39500000000000e+01 -2.44500000000000e+02 - 1938 1.90500000000000e+02 -5.39500000000000e+01 -2.44500000000000e+02 - 1939 1.10033330000000e+02 -2.32666600000000e+01 -3.39700000000000e+02 - 1940 9.43135000000000e+01 -3.23616500000000e+01 -3.39700000000000e+02 - 1941 9.27835000000000e+01 -6.86852500000000e+01 -2.92279298000000e+02 - 1942 7.85625000000000e+01 -6.07312500000000e+01 -3.39700000000000e+02 - 1943 7.92840100000000e+01 -4.59566700000000e+01 -3.20232880000000e+02 - 1944 9.75166600000000e+01 -5.24502500000000e+01 -2.91002777000000e+02 - 1945 8.18746000000000e+01 -6.25837500000000e+01 -3.07497794000000e+02 - 1946 8.69752700000000e+01 -5.01561500000000e+01 -3.03876160000000e+02 - 1947 9.30099200000000e+01 -5.08042300000000e+01 -3.39700000000000e+02 - 1948 9.84391400000000e+01 -4.17783600000000e+01 -3.29204529000000e+02 - 1949 1.15835720000000e+02 -2.82167100000000e+01 -3.25220576000000e+02 - 1950 1.09730420000000e+02 -2.30082500000000e+01 -3.07415058000000e+02 - 1951 9.73176900000000e+01 -3.48687600000000e+01 -3.12852997000000e+02 - 1952 1.03974060000000e+02 -3.85225300000000e+01 -3.02271545000000e+02 - 1953 8.69750100000000e+01 -6.54364800000000e+01 -3.23733513000000e+02 - 1954 9.20500000000000e+01 -6.82750000000000e+01 -3.39700000000000e+02 - 1955 9.55159500000000e+01 -7.02135500000000e+01 -3.08789338000000e+02 - 1956 1.01201670000000e+02 -7.33936600000000e+01 -2.99959401000000e+02 - 1957 1.30474520000000e+02 -4.07051400000000e+01 -2.58628532000000e+02 - 1958 1.34366660000000e+02 -4.40255400000000e+01 -2.44500000000000e+02 - 1959 1.33898270000000e+02 -5.99084400000000e+01 -2.44500000000000e+02 - 1960 1.25227400000000e+02 -5.98120400000000e+01 -2.53416000000000e+02 - 1961 1.25740360000000e+02 -3.66664000000000e+01 -2.72919082000000e+02 - 1962 1.20542620000000e+02 -5.05148400000000e+01 -2.68447083000000e+02 - 1963 1.10097860000000e+02 -7.83694200000000e+01 -2.59451992000000e+02 - 1964 1.15333290000000e+02 -6.44063800000000e+01 -2.63961273000000e+02 - 1965 1.02107230000000e+02 -7.39001500000000e+01 -2.75413895000000e+02 - 1966 1.13180830000000e+02 -5.56879900000000e+01 -2.80403229000000e+02 - 1967 1.36571800000000e+02 -4.59067600000000e+01 -2.70430805000000e+02 - 1968 1.21279920000000e+02 -3.28611900000000e+01 -2.91356948000000e+02 - 1969 1.13651110000000e+02 -4.82538400000000e+01 -2.94620361000000e+02 - 1970 1.75666660000000e+02 -5.39500000000000e+01 -2.44500000000000e+02 - 1971 1.27180900000000e+02 -7.18043500000000e+01 -2.62224823000000e+02 - 1972 1.22317330000000e+02 -8.52039500000000e+01 -2.57976301000000e+02 - 1973 1.66113370000000e+02 -6.56036800000000e+01 -2.44500000000000e+02 - 1974 1.50836580000000e+02 -6.80650300000000e+01 -2.44500000000000e+02 - 1975 1.33644240000000e+02 -7.55833200000000e+01 -2.44500000000000e+02 - 1976 1.32040000000000e+02 -9.06419700000000e+01 -2.44500000000000e+02 - 1977 1.46000000000000e+02 -9.84500000000000e+01 -2.44500000000000e+02 - 1978 1.48423940000000e+02 -8.51319100000000e+01 -2.44500000000000e+02 - 1979 1.90500000000000e+02 -6.87833300000000e+01 -2.44500000000000e+02 - 1980 1.60833330000000e+02 -9.84500000000000e+01 -2.44500000000000e+02 - 1981 1.66893430000000e+02 -8.17013400000000e+01 -2.44500000000000e+02 - 1982 1.77330110000000e+02 -7.07817800000000e+01 -2.44500000000000e+02 - 1983 1.07257910000000e+02 -7.67810000000000e+01 -2.91148696000000e+02 - 1984 1.16324240000000e+02 -6.65684600000000e+01 -2.88246033000000e+02 - 1985 1.46000000000000e+02 -5.39500000000000e+01 -2.60366667000000e+02 - 1986 1.50550530000000e+02 -6.61609100000000e+01 -2.57178284000000e+02 - 1987 1.67247900000000e+02 -5.39500000000000e+01 -2.58342527000000e+02 - 1988 1.90500000000000e+02 -5.39500000000000e+01 -2.60366667000000e+02 - 1989 1.84881470000000e+02 -6.45691700000000e+01 -2.54447021000000e+02 - 1990 1.22022220000000e+02 -3.34944400000000e+01 -3.39700000000000e+02 - 1991 1.07672180000000e+02 -4.17178900000000e+01 -3.39700000000000e+02 - 1992 1.06435730000000e+02 -5.91577700000000e+01 -3.39700000000000e+02 - 1993 1.07953400000000e+02 -6.19102500000000e+01 -3.03501526000000e+02 - 1994 9.66665200000000e+01 -5.29386200000000e+01 -3.24230316000000e+02 - 1995 1.00405080000000e+02 -5.62127200000000e+01 -3.15144775000000e+02 - 1996 1.23748580000000e+02 -3.49672100000000e+01 -3.11832752000000e+02 - 1997 1.26162920000000e+02 -3.70268900000000e+01 -3.26895866000000e+02 - 1998 1.12113640000000e+02 -5.12202700000000e+01 -3.30561096000000e+02 - 1999 1.08966330000000e+02 -4.24295200000000e+01 -3.19654083000000e+02 - 2000 1.15441820000000e+02 -4.91401500000000e+01 -3.07444702000000e+02 - 2001 1.00583560000000e+02 -7.30479400000000e+01 -3.23943932000000e+02 - 2002 1.05537500000000e+02 -7.58187500000000e+01 -3.39700000000000e+02 - 2003 1.75666660000000e+02 -9.84500000000000e+01 -2.44500000000000e+02 - 2004 1.90500000000000e+02 -8.36166600000000e+01 -2.44500000000000e+02 - 2005 1.90500000000000e+02 -9.84500000000000e+01 -2.44500000000000e+02 - 2006 1.09249310000000e+02 -7.78948200000000e+01 -3.07620271000000e+02 - 2007 1.17540020000000e+02 -6.68301700000000e+01 -3.05418854000000e+02 - 2008 1.18410210000000e+02 -8.30186300000000e+01 -2.75601139000000e+02 - 2009 1.31919950000000e+02 -5.87086800000000e+01 -2.66366974000000e+02 - 2010 1.35096620000000e+02 -4.46482800000000e+01 -2.84073865000000e+02 - 2011 1.26119650000000e+02 -5.34962400000000e+01 -2.86079010000000e+02 - 2012 1.24883730000000e+02 -6.97965900000000e+01 -2.73764954000000e+02 - 2013 1.46000000000000e+02 -5.39500000000000e+01 -2.76233333000000e+02 - 2014 1.34537630000000e+02 -4.41714000000000e+01 -3.00904726000000e+02 - 2015 1.22242880000000e+02 -5.49463800000000e+01 -3.00553192000000e+02 - 2016 1.24812010000000e+02 -7.16012100000000e+01 -2.97074341000000e+02 - 2017 1.69000240000000e+02 -7.22022900000000e+01 -2.54139526000000e+02 - 2018 1.32959140000000e+02 -9.11560600000000e+01 -2.66691711000000e+02 - 2019 1.41832130000000e+02 -6.58353300000000e+01 -2.73186127000000e+02 - 2020 1.37273970000000e+02 -7.88586500000000e+01 -2.64594360000000e+02 - 2021 1.55090600000000e+02 -7.83160200000000e+01 -2.53994812000000e+02 - 2022 1.46000000000000e+02 -9.84500000000000e+01 -2.60366667000000e+02 - 2023 1.90500000000000e+02 -7.51979000000000e+01 -2.58342527000000e+02 - 2024 1.69252090000000e+02 -9.84500000000000e+01 -2.58342527000000e+02 - 2025 1.90500000000000e+02 -6.63611500000000e+01 -2.70026986000000e+02 - 2026 1.78912440000000e+02 -8.13367000000000e+01 -2.58824310000000e+02 - 2027 1.20946620000000e+02 -8.44372900000000e+01 -2.95009671000000e+02 - 2028 1.90500000000000e+02 -5.39500000000000e+01 -2.76233333000000e+02 - 2029 1.59897400000000e+02 -5.39500000000000e+01 -2.82809931000000e+02 - 2030 1.58411150000000e+02 -5.39500000000000e+01 -2.70026986000000e+02 - 2031 1.54457530000000e+02 -6.81325000000000e+01 -2.72010406000000e+02 - 2032 1.73040790000000e+02 -5.39500000000000e+01 -2.72653358000000e+02 - 2033 1.79274200000000e+02 -6.03727700000000e+01 -2.64377289000000e+02 - 2034 1.34011110000000e+02 -4.37222200000000e+01 -3.39700000000000e+02 - 2035 1.20656840000000e+02 -5.10231800000000e+01 -3.39700000000000e+02 - 2036 1.19932190000000e+02 -6.75895500000000e+01 -3.39700000000000e+02 - 2037 1.12077460000000e+02 -6.35924300000000e+01 -3.22077850000000e+02 - 2038 1.34578870000000e+02 -5.25045100000000e+01 -3.29114075000000e+02 - 2039 1.35100760000000e+02 -4.46518100000000e+01 -3.18334170000000e+02 - 2040 1.23581390000000e+02 -5.41324300000000e+01 -3.20214813000000e+02 - 2041 1.14358890000000e+02 -8.07526800000000e+01 -3.24347923000000e+02 - 2042 1.19025000000000e+02 -8.33625000000000e+01 -3.39700000000000e+02 - 2043 1.90500000000000e+02 -9.84500000000000e+01 -2.60366667000000e+02 - 2044 1.23719950000000e+02 -8.59884500000000e+01 -3.10921015000000e+02 - 2045 1.27452220000000e+02 -7.24555200000000e+01 -3.13341370000000e+02 - 2046 1.37509120000000e+02 -7.83702800000000e+01 -2.81488495000000e+02 - 2047 1.33040450000000e+02 -9.12015400000000e+01 -2.84255127000000e+02 - 2048 1.46000000000000e+02 -5.39500000000000e+01 -2.92100000000000e+02 - 2049 1.37147360000000e+02 -6.32849300000000e+01 -2.86806366000000e+02 - 2050 1.51219780000000e+02 -6.59981200000000e+01 -2.83279205000000e+02 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-5.39500000000000e+01 -3.39700000000000e+02 - 2079 1.54674590000000e+02 -6.37552200000000e+01 -3.27305267000000e+02 - 2080 1.61720910000000e+02 -5.39500000000000e+01 -3.12922807000000e+02 - 2081 1.64275140000000e+02 -5.39500000000000e+01 -3.26799431000000e+02 - 2082 1.90500000000000e+02 -9.84500000000000e+01 -2.76233333000000e+02 - 2083 1.81227690000000e+02 -8.82463000000000e+01 -2.82808929000000e+02 - 2084 1.46000000000000e+02 -9.84500000000000e+01 -2.92100000000000e+02 - 2085 1.43930340000000e+02 -8.01971600000000e+01 -3.13377563000000e+02 - 2086 1.65599710000000e+02 -7.61273800000000e+01 -2.92775391000000e+02 - 2087 1.50713330000000e+02 -8.33625500000000e+01 -2.88940735000000e+02 - 2088 1.51798590000000e+02 -6.67216400000000e+01 -2.98635864000000e+02 - 2089 1.52666820000000e+02 -6.73185500000000e+01 -3.13160492000000e+02 - 2090 1.51816690000000e+02 -8.89155500000000e+01 -3.01240540000000e+02 - 2091 1.61483080000000e+02 -9.84500000000000e+01 -2.87507523000000e+02 - 2092 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- 2106 1.90500000000000e+02 -5.39500000000000e+01 -3.39700000000000e+02 - 2107 1.69931860000000e+02 -6.81230300000000e+01 -3.39700000000000e+02 - 2108 1.73178550000000e+02 -6.10058500000000e+01 -3.29276855000000e+02 - 2109 1.75666660000000e+02 -5.39500000000000e+01 -3.39700000000000e+02 - 2110 1.63194010000000e+02 -7.33960900000000e+01 -3.30723907000000e+02 - 2111 1.71966670000000e+02 -6.49128400000000e+01 -3.16054565000000e+02 - 2112 1.76384330000000e+02 -5.39500000000000e+01 -3.18947335000000e+02 - 2113 1.90500000000000e+02 -5.39500000000000e+01 -3.23833333000000e+02 - 2114 1.90500000000000e+02 -9.84500000000000e+01 -2.92100000000000e+02 - 2115 1.60706680000000e+02 -9.84500000000000e+01 -3.02937906000000e+02 - 2116 1.60661690000000e+02 -8.35434400000000e+01 -3.16922791000000e+02 - 2117 1.65744410000000e+02 -8.36157900000000e+01 -3.02940796000000e+02 - 2118 1.75717490000000e+02 -9.84500000000000e+01 -2.97706673000000e+02 - 2119 1.90500000000000e+02 -8.37433100000000e+01 -3.02937906000000e+02 - 2120 1.90500000000000e+02 -6.96709100000000e+01 -3.12922807000000e+02 - 2121 1.80703140000000e+02 -7.65976600000000e+01 -3.10989960000000e+02 - 2122 1.60115660000000e+02 -9.84500000000000e+01 -3.18947335000000e+02 - 2123 1.72455040000000e+02 -8.29103600000000e+01 -3.23217407000000e+02 - 2124 1.60833330000000e+02 -9.84500000000000e+01 -3.39700000000000e+02 - 2125 1.63949430000000e+02 -8.32035300000000e+01 -3.39700000000000e+02 - 2126 1.62036370000000e+02 -9.08328800000000e+01 -3.29313049000000e+02 - 2127 1.90500000000000e+02 -6.87833300000000e+01 -3.39700000000000e+02 - 2128 1.77901410000000e+02 -8.02552800000000e+01 -3.39700000000000e+02 - 2129 1.80377560000000e+02 -7.02126100000000e+01 -3.33147675000000e+02 - 2130 1.90500000000000e+02 -7.22251400000000e+01 -3.26799431000000e+02 - 2131 1.90500000000000e+02 -9.84500000000000e+01 -3.07966667000000e+02 - 2132 1.74779080000000e+02 -9.84500000000000e+01 -3.12922807000000e+02 - 2133 1.84121760000000e+02 -8.22772800000000e+01 -3.29457733000000e+02 - 2134 1.90500000000000e+02 -8.43343300000000e+01 -3.18947335000000e+02 - 2135 1.72224850000000e+02 -9.84500000000000e+01 -3.26799431000000e+02 - 2136 1.75666660000000e+02 -9.84500000000000e+01 -3.39700000000000e+02 - 2137 1.90500000000000e+02 -8.36166600000000e+01 -3.39700000000000e+02 - 2138 1.90500000000000e+02 -9.84500000000000e+01 -3.23833333000000e+02 - 2139 1.90500000000000e+02 -9.84500000000000e+01 -3.39700000000000e+02 +# Flattened data extracted from tetra_duct15.jl +# First column removed; already flat vectors + +const TETS_duct15 = [ + 1, + 9, + 35, + 19, + 19, + 19, + 19, + 15, + 15, + 19, + 11, + 5, + 47, + 48, + 48, + 47, + 50, + 49, + 14, + 50, + 50, + 48, + 48, + 9, + 36, + 9, + 9, + 15, + 15, + 15, + 15, + 42, + 53, + 15, + 12, + 54, + 36, + 19, + 19, + 14, + 57, + 57, + 57, + 39, + 59, + 59, + 59, + 59, + 19, + 19, + 19, + 53, + 15, + 15, + 51, + 60, + 55, + 55, + 54, + 55, + 18, + 55, + 17, + 18, + 19, + 60, + 60, + 57, + 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-329.114075, + -318.33417, + -320.214813, + -324.347923, + -339.7, + -260.366667, + -310.921015, + -313.34137, + -281.488495, + -284.255127, + -292.1, + -286.806366, + -283.279205, + -307.966667, + -305.418854, + -323.833333, + -299.540283, + -276.233333, + -271.739105, + -274.072449, + -270.026986, + -272.653358, + -292.1, + -282.57901, + -272.653358, + -282.809931, + -282.808929, + -271.106018, + -300.450804, + -287.507523, + -297.706673, + -282.808929, + -339.7, + -339.7, + -339.7, + -324.77298, + -320.196716, + -339.7, + -325.220217, + -313.596785, + -339.7, + -327.305267, + -312.922807, + -326.799431, + -276.233333, + -282.808929, + -292.1, + -313.377563, + -292.775391, + -288.940735, + -298.635864, + -313.160492, + -301.24054, + -287.507523, + -282.809931, + -287.507523, + -302.937906, + -307.966667, + -297.706673, + -294.34903, + -291.033051, + -307.966667, + -302.940796, + -339.7, + -339.7, + -339.7, + -330.452576, + -323.833333, + -339.7, + -339.7, + -329.276855, + -339.7, + -330.723907, + -316.054565, + -318.947335, + -323.833333, + -292.1, + -302.937906, + -316.922791, + -302.940796, + -297.706673, + -302.937906, + -312.922807, + -310.98996, + -318.947335, + -323.217407, + -339.7, + -339.7, + -329.313049, + -339.7, + -339.7, + -333.147675, + -326.799431, + -307.966667, + -312.922807, + -329.457733, + -318.947335, + -326.799431, + -339.7, + -339.7, + -323.833333, + -339.7, ] - const Const_duct15 = [ 1, 2, @@ -12319,6 +43598,3 @@ const Const_duct15 = [ 2138, 2139, ] - -const TETS_duct15 = vec(reshape(_TETS_duct15[:, 2:5], 9000 * 4, 1)) -const xe_duct15 = vec(reshape(_xe_duct15[:, 2:4], 2139 * 3, 1)) diff --git a/data/tetra_duct20.jl b/data/tetra_duct20.jl index 2476a8cb..326611dd 100644 --- a/data/tetra_duct20.jl +++ b/data/tetra_duct20.jl @@ -1,5180 +1,19627 @@ -const _xe_duct20 = [ - 1 3.81000000000000e+01 -3.81000000000000e+01 2.19100000000000e+02 - 2 -3.81000000000000e+01 -3.81000000000000e+01 2.19100000000000e+02 - 3 1.20600600000000e+01 -2.03064000000000e+01 2.19100000000000e+02 - 4 0.00000000000000e+00 -3.81000000000000e+01 2.19100000000000e+02 - 5 1.90500000000000e+01 -3.81000000000000e+01 2.19100000000000e+02 - 6 -3.81000000000000e+01 3.81000000000000e+01 2.19100000000000e+02 - 7 -3.81000000000000e+01 0.00000000000000e+00 2.19100000000000e+02 - 8 -2.03749000000000e+01 -1.19455500000000e+01 2.19100000000000e+02 - 9 -3.81000000000000e+01 1.90500000000000e+01 2.19100000000000e+02 - 10 0.00000000000000e+00 3.81000000000000e+01 2.19100000000000e+02 - 11 -2.18352000000000e+01 5.65053000000000e+00 2.19100000000000e+02 - 12 -1.19751000000000e+01 2.04622500000000e+01 2.19100000000000e+02 - 13 -5.54841000000000e+00 -2.17377200000000e+01 2.19100000000000e+02 - 14 2.83400000000000e-02 8.95400000000000e-02 2.19100000000000e+02 - 15 3.81000000000000e+01 -1.90500000000000e+01 2.19100000000000e+02 - 16 3.81000000000000e+01 0.00000000000000e+00 2.19100000000000e+02 - 17 3.81000000000000e+01 3.81000000000000e+01 2.19100000000000e+02 - 18 1.90500000000000e+01 3.81000000000000e+01 2.19100000000000e+02 - 19 3.81000000000000e+01 1.90500000000000e+01 2.19100000000000e+02 - 20 2.03979300000000e+01 1.21009100000000e+01 2.19100000000000e+02 - 21 2.18874600000000e+01 -5.45715000000000e+00 2.19100000000000e+02 - 22 5.61479000000000e+00 2.19495200000000e+01 2.19100000000000e+02 - 23 9.80819000000000e+00 1.49635400000000e+01 2.05312515000000e+02 - 24 3.81000000000000e+01 3.81000000000000e+01 1.98450000000000e+02 - 25 3.81000000000000e+01 -3.81000000000000e+01 1.98450000000000e+02 - 26 2.61235200000000e+01 -2.58790500000000e+01 2.01749191000000e+02 - 27 1.42578200000000e+01 -1.37782100000000e+01 2.05005020000000e+02 - 28 -1.90500000000000e+01 -3.81000000000000e+01 2.19100000000000e+02 - 29 -3.81000000000000e+01 -1.90500000000000e+01 2.19100000000000e+02 - 30 -1.63650700000000e+01 -2.50650900000000e+01 2.10196259000000e+02 - 31 -3.81000000000000e+01 -3.81000000000000e+01 1.98991667000000e+02 - 32 5.08299000000000e+00 -3.81000000000000e+01 2.02544168000000e+02 - 33 -1.23911500000000e+01 -3.81000000000000e+01 2.01349644000000e+02 - 34 1.95575200000000e+01 -3.81000000000000e+01 1.91379905000000e+02 - 35 -1.90500000000000e+01 3.81000000000000e+01 2.19100000000000e+02 - 36 -3.81000000000000e+01 3.81000000000000e+01 1.98991667000000e+02 - 37 -2.47901700000000e+01 1.56014900000000e+01 2.11110687000000e+02 - 38 -3.81000000000000e+01 -5.07387000000000e+00 2.02795211000000e+02 - 39 -3.81000000000000e+01 1.23654400000000e+01 2.01516690000000e+02 - 40 -1.92028600000000e+01 -5.65573000000000e+00 2.00698318000000e+02 - 41 -2.89542800000000e+01 2.50747000000000e+01 1.96738815000000e+02 - 42 -5.07955000000000e+00 3.81000000000000e+01 2.02619875000000e+02 - 43 1.24123500000000e+01 3.81000000000000e+01 2.01211468000000e+02 - 44 -2.60014000000000e+00 -2.56619900000000e+01 1.96232361000000e+02 - 45 -6.36243000000000e+00 1.18885800000000e+01 2.01441696000000e+02 - 46 3.91151000000000e+00 -8.99590000000000e-01 2.03214310000000e+02 - 47 -3.81000000000000e+01 3.81000000000000e+01 1.78883333000000e+02 - 48 1.90500000000000e+02 -9.84500000000000e+01 9.52000000000000e+01 - 49 3.81000000000000e+01 -3.81000000000000e+01 1.77800000000000e+02 - 50 3.81000000000000e+01 -1.11094000000000e+01 2.00545303000000e+02 - 51 3.81000000000000e+01 2.12329200000000e+01 1.85108165000000e+02 - 52 3.81000000000000e+01 -3.58350000000000e-01 1.80719151000000e+02 - 53 3.81000000000000e+01 1.09023400000000e+01 2.00562135000000e+02 - 54 2.51105900000000e+01 2.46586800000000e+01 2.00899048000000e+02 - 55 1.42216500000000e+01 7.60174000000000e+00 1.90805969000000e+02 - 56 5.73840000000000e+00 2.64674700000000e+01 1.94079895000000e+02 - 57 3.81000000000000e+01 3.81000000000000e+01 1.77800000000000e+02 - 58 2.21188500000000e+01 3.81000000000000e+01 1.85700321000000e+02 - 59 3.81000000000000e+01 -1.99593400000000e+01 1.67723516000000e+02 - 60 3.81000000000000e+01 -2.15722500000000e+01 1.85086681000000e+02 - 61 1.17436000000000e+01 -1.97653200000000e+01 1.89503647000000e+02 - 62 -3.81000000000000e+01 -1.95509500000000e+01 1.92011883000000e+02 - 63 -2.58800000000000e+01 -2.70822500000000e+01 1.99124527000000e+02 - 64 -1.06673600000000e+01 -1.25844000000000e+01 1.89575989000000e+02 - 65 -2.20671800000000e+01 -3.81000000000000e+01 1.86137768000000e+02 - 66 -3.81000000000000e+01 -3.81000000000000e+01 1.78883333000000e+02 - 67 -1.66120000000000e+00 -3.81000000000000e+01 1.82702717000000e+02 - 68 1.88379000000000e+01 -3.81000000000000e+01 1.69296185000000e+02 - 69 -3.81000000000000e+01 2.21231700000000e+01 1.86378665000000e+02 - 70 -1.95789900000000e+01 3.81000000000000e+01 1.91839017000000e+02 - 71 -1.91506100000000e+01 1.16243000000000e+00 1.82594040000000e+02 - 72 -3.81000000000000e+01 1.67042000000000e+00 1.83209593000000e+02 - 73 -3.81000000000000e+01 2.00338700000000e+01 1.69338769000000e+02 - 74 -8.67769000000000e+00 1.97749300000000e+01 1.82666397000000e+02 - 75 1.63024000000000e+00 3.81000000000000e+01 1.82726359000000e+02 - 76 5.75649000000000e+00 -1.94035600000000e+01 1.74544907000000e+02 - 77 -1.58270000000000e-01 5.29350000000000e-01 1.79084976000000e+02 - 78 -1.88312900000000e+01 3.81000000000000e+01 1.70124473000000e+02 - 79 -3.81000000000000e+01 3.81000000000000e+01 1.58775000000000e+02 - 80 -3.81000000000000e+01 -1.88241400000000e+01 1.70421008000000e+02 - 81 -3.81000000000000e+01 -3.81000000000000e+01 1.58775000000000e+02 - 82 1.90500000000000e+02 -9.84500000000000e+01 0.00000000000000e+00 - 83 1.90500000000000e+02 -5.39500000000000e+01 0.00000000000000e+00 - 84 1.90500000000000e+02 -9.84500000000000e+01 7.61600000000000e+01 - 85 1.90500000000000e+02 -9.84500000000000e+01 5.71200000000000e+01 - 86 1.90500000000000e+02 -9.84500000000000e+01 3.80800000000000e+01 - 87 1.90500000000000e+02 -5.39500000000000e+01 9.52000000000000e+01 - 88 1.90500000000000e+02 -5.39500000000000e+01 7.61600000000000e+01 - 89 1.90500000000000e+02 -7.62018000000000e+01 6.86863530000000e+01 - 90 1.90500000000000e+02 -5.39500000000000e+01 5.71200000000000e+01 - 91 1.90500000000000e+02 -7.62046300000000e+01 4.76026430000000e+01 - 92 1.90500000000000e+02 -5.39500000000000e+01 3.80800000000000e+01 - 93 1.90500000000000e+02 -7.62000000000000e+01 9.52000000000000e+01 - 94 1.68250000000000e+02 -9.84500000000000e+01 9.52000000000000e+01 - 95 1.72237990000000e+02 -7.62720700000000e+01 8.16632840000000e+01 - 96 1.46000000000000e+02 -9.84500000000000e+01 9.52000000000000e+01 - 97 3.81000000000000e+01 -3.81000000000000e+01 1.57150000000000e+02 - 98 3.81000000000000e+01 -1.05810000000000e+00 1.58363048000000e+02 - 99 3.81000000000000e+01 3.81000000000000e+01 1.57150000000000e+02 - 100 3.81000000000000e+01 1.90731600000000e+01 1.67608741000000e+02 - 101 1.88702500000000e+01 -1.21810000000000e-01 1.75557831000000e+02 - 102 2.05524300000000e+01 1.96664000000000e+01 1.80803345000000e+02 - 103 2.00008800000000e+01 3.81000000000000e+01 1.68335466000000e+02 - 104 3.81000000000000e+01 -2.01449800000000e+01 1.48189300000000e+02 - 105 1.92862700000000e+01 -1.95120900000000e+01 1.63637878000000e+02 - 106 -1.95847200000000e+01 -1.88790100000000e+01 1.75612091000000e+02 - 107 -2.00066900000000e+01 -3.81000000000000e+01 1.68934397000000e+02 - 108 -5.84490000000000e-01 -3.81000000000000e+01 1.59373711000000e+02 - 109 1.88540700000000e+01 -3.81000000000000e+01 1.48019453000000e+02 - 110 5.84340000000000e-01 3.81000000000000e+01 1.59515090000000e+02 - 111 -1.99756600000000e+01 2.04022900000000e+01 1.64395737000000e+02 - 112 -3.81000000000000e+01 1.94090300000000e+01 1.49400387000000e+02 - 113 -1.91993300000000e+01 -8.26000000000000e-03 1.65338425000000e+02 - 114 -3.81000000000000e+01 6.12630000000000e-01 1.60310043000000e+02 - 115 2.93920000000000e-01 1.90514100000000e+01 1.59477646000000e+02 - 116 -2.84880000000000e-01 -1.90418000000000e+01 1.59405289000000e+02 - 117 4.52000000000000e-03 4.80000000000000e-03 1.59441467000000e+02 - 118 -1.88745200000000e+01 3.81000000000000e+01 1.49156048000000e+02 - 119 -3.81000000000000e+01 3.81000000000000e+01 1.38666667000000e+02 - 120 -3.81000000000000e+01 -1.88526900000000e+01 1.49623648000000e+02 - 121 -1.94002800000000e+01 -3.81000000000000e+01 1.48772168000000e+02 - 122 -3.81000000000000e+01 -3.81000000000000e+01 1.38666667000000e+02 - 123 1.90500000000000e+02 -5.39500000000000e+01 1.90400000000000e+01 - 124 1.90500000000000e+02 -9.84500000000000e+01 1.90400000000000e+01 - 125 1.68250000000000e+02 -9.84500000000000e+01 0.00000000000000e+00 - 126 1.90500000000000e+02 -7.62000000000000e+01 0.00000000000000e+00 - 127 1.90500000000000e+02 -7.62009900000000e+01 2.65155650000000e+01 - 128 1.68249000000000e+02 -9.84500000000000e+01 2.65155650000000e+01 - 129 1.68250000000000e+02 -5.39500000000000e+01 0.00000000000000e+00 - 130 1.68250990000000e+02 -5.39500000000000e+01 2.65155650000000e+01 - 131 1.68248190000000e+02 -9.84500000000000e+01 6.86863530000000e+01 - 132 1.75511900000000e+02 -7.97268800000000e+01 5.97406850000000e+01 - 133 1.68245360000000e+02 -9.84500000000000e+01 4.76026430000000e+01 - 134 1.75692780000000e+02 -7.96726100000000e+01 3.91204220000000e+01 - 135 1.68250000000000e+02 -5.39500000000000e+01 9.52000000000000e+01 - 136 1.68251800000000e+02 -5.39500000000000e+01 6.86863530000000e+01 - 137 1.68254630000000e+02 -5.39500000000000e+01 4.76026430000000e+01 - 138 1.46000000000000e+02 -9.84500000000000e+01 5.71200000000000e+01 - 139 1.46000000000000e+02 -9.84500000000000e+01 7.61600000000000e+01 - 140 1.57080290000000e+02 -7.61273800000000e+01 7.24384230000000e+01 - 141 1.46000000000000e+02 -5.39500000000000e+01 9.52000000000000e+01 - 142 1.53195640000000e+02 -7.63434200000000e+01 9.52000000000000e+01 - 143 1.28016660000000e+02 -8.83916600000000e+01 9.52000000000000e+01 - 144 1.40764950000000e+02 -8.28922700000000e+01 8.13738710000000e+01 - 145 1.89426000000000e+01 -7.18710000000000e-01 1.53653320000000e+02 - 146 3.81000000000000e+01 -3.81000000000000e+01 1.36500000000000e+02 - 147 3.81000000000000e+01 -2.65052000000000e+00 1.37993674000000e+02 - 148 3.81000000000000e+01 1.79103400000000e+01 1.47580826000000e+02 - 149 3.81000000000000e+01 3.81000000000000e+01 1.36500000000000e+02 - 150 1.93735200000000e+01 3.81000000000000e+01 1.47999872000000e+02 - 151 1.88789100000000e+01 1.83604000000000e+01 1.51507080000000e+02 - 152 9.33762000000000e+00 2.88343800000000e+01 1.50278854000000e+02 - 153 3.81000000000000e+01 1.60450000000000e+01 1.27685797000000e+02 - 154 3.81000000000000e+01 -2.08873200000000e+01 1.30763289000000e+02 - 155 1.88726800000000e+01 -3.81000000000000e+01 1.27382874000000e+02 - 156 -2.67990000000000e-01 -3.81000000000000e+01 1.38355250000000e+02 - 157 1.93405400000000e+01 -1.96025300000000e+01 1.43379364000000e+02 - 158 -2.10517900000000e+01 -1.95780100000000e+01 1.42884918000000e+02 - 159 -1.40180000000000e-01 -1.90418000000000e+01 1.38405182000000e+02 - 160 2.45570000000000e-01 3.81000000000000e+01 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5.46994000000000e+01 -4.61850000000000e+00 -2.61289032000000e+02 - 894 7.62000000000000e+01 5.59671000000000e+00 -2.44500000000000e+02 - 895 5.77129200000000e+01 -3.48877000000000e+00 -2.39714232000000e+02 - 896 5.14518500000000e+01 9.71821000000000e+00 -3.39700000000000e+02 - 897 3.81000000000000e+01 0.00000000000000e+00 -3.39700000000000e+02 - 898 6.89285700000000e+01 1.18000000000000e+01 -3.39700000000000e+02 - 899 3.81000000000000e+01 -3.81000000000000e+01 -3.39700000000000e+02 - 900 3.81000000000000e+01 -1.90500000000000e+01 -3.39700000000000e+02 - 901 5.09582700000000e+01 2.39241000000000e+00 -3.21770355000000e+02 - 902 3.96894800000000e+01 -1.04319400000000e+01 -3.21679932000000e+02 - 903 3.81000000000000e+01 -3.81000000000000e+01 -3.20657143000000e+02 - 904 6.46803100000000e+01 1.54242000000000e+01 -3.04526807000000e+02 - 905 5.30745700000000e+01 -2.14113200000000e+01 -3.15294891000000e+02 - 906 7.51635200000000e+01 6.48093000000000e+00 -3.21515672000000e+02 - 907 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5.26255000000000e+01 -4.62243200000000e+01 -2.71848521000000e+02 - 936 5.44489300000000e+01 -4.72441900000000e+01 -2.91561190000000e+02 - 937 6.18964700000000e+01 -3.16964800000000e+01 -2.68156982000000e+02 - 938 7.04943600000000e+01 -3.56955800000000e+01 -2.94677551000000e+02 - 939 7.54260100000000e+01 -2.56932200000000e+01 -2.80550415000000e+02 - 940 6.85133800000000e+01 -5.51106300000000e+01 -3.23130290000000e+02 - 941 9.84505800000000e+01 -1.33853600000000e+01 -2.61996372000000e+02 - 942 9.09412600000000e+01 -6.97913000000000e+00 -2.81885515000000e+02 - 943 7.62000000000000e+01 -3.77410100000000e+01 -2.44500000000000e+02 - 944 8.88706200000000e+01 -2.74346100000000e+01 -2.67307556000000e+02 - 945 6.49563000000000e+01 -5.31211100000000e+01 -2.58733412000000e+02 - 946 7.62000000000000e+01 -5.94098700000000e+01 -2.44500000000000e+02 - 947 9.42857900000000e+01 -4.04895100000000e+01 -2.44500000000000e+02 - 948 1.11803670000000e+02 -2.47769500000000e+01 -2.58333904000000e+02 - 949 1.02346140000000e+02 -3.70754900000000e+01 -2.59475464000000e+02 - 950 1.18080000000000e+02 -3.01313100000000e+01 -2.44500000000000e+02 - 951 6.95697500000000e+01 -5.57014800000000e+01 -2.77978867000000e+02 - 952 9.36500000000000e+01 -6.91699000000000e+01 -2.44500000000000e+02 - 953 1.11100000000000e+02 -7.89299300000000e+01 -2.44500000000000e+02 - 954 7.10450700000000e+01 -3.96461300000000e+01 -3.39700000000000e+02 - 955 7.70388400000000e+01 -2.20994200000000e+01 -3.39700000000000e+02 - 956 8.37155500000000e+01 -2.37446700000000e+01 -3.21842712000000e+02 - 957 9.97571400000000e+01 -1.45000000000000e+01 -3.39700000000000e+02 - 958 7.40666600000000e+01 -5.82166600000000e+01 -3.39700000000000e+02 - 959 7.60281700000000e+01 -3.96078000000000e+01 -3.22493896000000e+02 - 960 8.47646500000000e+01 -2.60780200000000e+01 -2.98617798000000e+02 - 961 7.36630700000000e+01 -5.79909300000000e+01 -3.01676684000000e+02 - 962 8.53977300000000e+01 -4.51065400000000e+01 -3.08801300000000e+02 - 963 1.07378210000000e+02 -2.10015700000000e+01 -3.22147558000000e+02 - 964 1.00481580000000e+02 -1.51180200000000e+01 -3.02287330000000e+02 - 965 9.66484400000000e+01 -3.27886500000000e+01 -3.15620453000000e+02 - 966 7.89388500000000e+01 -4.21395100000000e+01 -2.72380737000000e+02 - 967 8.24823200000000e+01 -6.29236600000000e+01 -2.61887821000000e+02 - 968 9.82763600000000e+01 -3.65690300000000e+01 -2.79516907000000e+02 - 969 8.43139200000000e+01 -6.39481000000000e+01 -3.21578332000000e+02 - 970 1.13632280000000e+02 -2.63369400000000e+01 -2.80337891000000e+02 - 971 9.25786500000000e+01 -4.97913200000000e+01 -2.60669281000000e+02 - 972 1.13134830000000e+02 -5.42075500000000e+01 -2.44500000000000e+02 - 973 1.14054980000000e+02 -4.61594900000000e+01 -2.67893768000000e+02 - 974 1.25327420000000e+02 -3.63141200000000e+01 -2.61205347000000e+02 - 975 1.32040000000000e+02 -4.20406500000000e+01 -2.44500000000000e+02 - 976 1.30880620000000e+02 -6.57133400000000e+01 -2.44500000000000e+02 - 977 8.89400800000000e+01 -6.65355800000000e+01 -2.81661605000000e+02 - 978 1.00593780000000e+02 -7.30536500000000e+01 -2.62707034000000e+02 - 979 1.90500000000000e+02 -5.39500000000000e+01 -2.44500000000000e+02 - 980 1.16179590000000e+02 -8.17710200000000e+01 -2.61112405000000e+02 - 981 1.28550000000000e+02 -8.86899600000000e+01 -2.44500000000000e+02 - 982 1.46000000000000e+02 -5.39500000000000e+01 -2.44500000000000e+02 - 983 1.46000000000000e+02 -9.84500000000000e+01 -2.44500000000000e+02 - 984 1.53500440000000e+02 -7.64863700000000e+01 -2.44500000000000e+02 - 985 1.68250000000000e+02 -5.39500000000000e+01 -2.44500000000000e+02 - 986 9.16407300000000e+01 -4.07282400000000e+01 -3.39700000000000e+02 - 987 9.20500000000000e+01 -6.82750000000000e+01 -3.39700000000000e+02 - 988 1.15171420000000e+02 -2.76500000000000e+01 -3.39700000000000e+02 - 989 9.67931400000000e+01 -5.29748000000000e+01 -3.22475800000000e+02 - 990 1.08839720000000e+02 -4.23933500000000e+01 -3.23344025000000e+02 - 991 1.20464640000000e+02 -3.21656600000000e+01 -3.24180588000000e+02 - 992 1.06578720000000e+02 -4.97008800000000e+01 -3.04460205000000e+02 - 993 9.54403300000000e+01 -7.01712600000000e+01 -3.02769274000000e+02 - 994 1.17503560000000e+02 -2.96395500000000e+01 -3.06125421000000e+02 - 995 1.32893910000000e+02 -4.27691300000000e+01 -2.76174299000000e+02 - 996 1.03315540000000e+02 -5.70464200000000e+01 -2.74116821000000e+02 - 997 1.17540020000000e+02 -4.96827900000000e+01 -2.89736603000000e+02 - 998 1.02017900000000e+02 -7.38501800000000e+01 -3.22354039000000e+02 - 999 1.31405350000000e+02 -4.14992300000000e+01 -2.93645773000000e+02 - 1000 1.21307260000000e+02 -6.84389400000000e+01 -2.66159058000000e+02 - 1001 1.26390960000000e+02 -5.56456700000000e+01 -2.70498138000000e+02 - 1002 1.41108620000000e+02 -8.30550600000000e+01 -2.58372101000000e+02 - 1003 1.46000000000000e+02 -5.39500000000000e+01 -2.63540000000000e+02 - 1004 1.10683060000000e+02 -7.86967300000000e+01 -2.82659734000000e+02 - 1005 1.90500000000000e+02 -9.84500000000000e+01 -2.44500000000000e+02 - 1006 1.90500000000000e+02 -5.39500000000000e+01 -2.63540000000000e+02 - 1007 1.90500000000000e+02 -7.62000000000000e+01 -2.44500000000000e+02 - 1008 1.68250000000000e+02 -9.84500000000000e+01 -2.44500000000000e+02 - 1009 1.46000000000000e+02 -9.84500000000000e+01 -2.63540000000000e+02 - 1010 1.29487870000000e+02 -8.92145300000000e+01 -2.71376940000000e+02 - 1011 1.61023450000000e+02 -6.50032800000000e+01 -2.58010345000000e+02 - 1012 1.61023450000000e+02 -8.76855700000000e+01 -2.58010345000000e+02 - 1013 1.68251800000000e+02 -5.39500000000000e+01 -2.71013647000000e+02 - 1014 1.10033330000000e+02 -7.83333300000000e+01 -3.39700000000000e+02 - 1015 1.11402320000000e+02 -5.34812300000000e+01 -3.39700000000000e+02 - 1016 1.30585710000000e+02 -4.08000000000000e+01 -3.39700000000000e+02 - 1017 1.21790690000000e+02 -5.27034800000000e+01 -3.16940887000000e+02 - 1018 1.31893270000000e+02 -4.19154800000000e+01 -3.14175881000000e+02 - 1019 1.13942150000000e+02 -8.05195900000000e+01 -3.06582927000000e+02 - 1020 1.22640820000000e+02 -6.10782000000000e+01 -3.00137177000000e+02 - 1021 1.46000000000000e+02 -5.39500000000000e+01 -2.82580000000000e+02 - 1022 1.28718380000000e+02 -6.60704800000000e+01 -2.82628052000000e+02 - 1023 1.16809600000000e+02 -8.21233900000000e+01 -3.24437659000000e+02 - 1024 1.29749390000000e+02 -6.74089800000000e+01 -3.13522247000000e+02 - 1025 1.46000000000000e+02 -5.39500000000000e+01 -3.01620000000000e+02 - 1026 1.45635050000000e+02 -7.61430600000000e+01 -2.73411560000000e+02 - 1027 1.29317810000000e+02 -8.91194100000000e+01 -2.93042751000000e+02 - 1028 1.90500000000000e+02 -5.39500000000000e+01 -2.82580000000000e+02 - 1029 1.90500000000000e+02 -9.84500000000000e+01 -2.63540000000000e+02 - 1030 1.90500000000000e+02 -7.62018000000000e+01 -2.71013647000000e+02 - 1031 1.68248190000000e+02 -9.84500000000000e+01 -2.71013647000000e+02 - 1032 1.46000000000000e+02 -9.84500000000000e+01 -2.82580000000000e+02 - 1033 1.53263730000000e+02 -6.84761700000000e+01 -2.85684906000000e+02 - 1034 1.68639830000000e+02 -7.75318400000000e+01 -2.74380188000000e+02 - 1035 1.68254630000000e+02 -5.39500000000000e+01 -2.92097357000000e+02 - 1036 1.29997590000000e+02 -8.94996200000000e+01 -3.14214773000000e+02 - 1037 1.29951940000000e+02 -6.52481100000000e+01 -3.39700000000000e+02 - 1038 1.28016660000000e+02 -8.83916600000000e+01 -3.39700000000000e+02 - 1039 1.46000000000000e+02 -5.39500000000000e+01 -3.39700000000000e+02 - 1040 1.46000000000000e+02 -5.39500000000000e+01 -3.20660000000000e+02 - 1041 1.90500000000000e+02 -5.39500000000000e+01 -3.01620000000000e+02 - 1042 1.37671920000000e+02 -7.14968600000000e+01 -2.97333557000000e+02 - 1043 1.53227550000000e+02 -6.84038200000000e+01 -3.05382690000000e+02 - 1044 1.45992370000000e+02 -7.61997300000000e+01 -3.20666992000000e+02 - 1045 1.68250990000000e+02 -5.39500000000000e+01 -3.13184435000000e+02 - 1046 1.60679770000000e+02 -8.33082900000000e+01 -2.88850311000000e+02 - 1047 1.46000000000000e+02 -9.84500000000000e+01 -3.01620000000000e+02 - 1048 1.90500000000000e+02 -7.62046300000000e+01 -2.92097357000000e+02 - 1049 1.90500000000000e+02 -9.84500000000000e+01 -2.82580000000000e+02 - 1050 1.68245360000000e+02 -9.84500000000000e+01 -2.92097357000000e+02 - 1051 1.75710870000000e+02 -7.96907000000000e+01 -3.00589386000000e+02 - 1052 1.46000000000000e+02 -9.84500000000000e+01 -3.20660000000000e+02 - 1053 1.46000000000000e+02 -9.84500000000000e+01 -3.39700000000000e+02 - 1054 1.90500000000000e+02 -5.39500000000000e+01 -3.39700000000000e+02 - 1055 1.53276440000000e+02 -7.63786800000000e+01 -3.39700000000000e+02 - 1056 1.68250000000000e+02 -5.39500000000000e+01 -3.39700000000000e+02 - 1057 1.90500000000000e+02 -5.39500000000000e+01 -3.20660000000000e+02 - 1058 1.60914930000000e+02 -6.49309300000000e+01 -3.26165741000000e+02 - 1059 1.90500000000000e+02 -7.62009900000000e+01 -3.13184435000000e+02 - 1060 1.61445900000000e+02 -8.74522400000000e+01 -3.26499512000000e+02 - 1061 1.61605370000000e+02 -8.32877700000000e+01 -3.09336029000000e+02 - 1062 1.68249000000000e+02 -9.84500000000000e+01 -3.13184435000000e+02 - 1063 1.90500000000000e+02 -9.84500000000000e+01 -3.01620000000000e+02 - 1064 1.68250000000000e+02 -9.84500000000000e+01 -3.39700000000000e+02 - 1065 1.90500000000000e+02 -7.62000000000000e+01 -3.39700000000000e+02 - 1066 1.90500000000000e+02 -9.84500000000000e+01 -3.20660000000000e+02 - 1067 1.90500000000000e+02 -9.84500000000000e+01 -3.39700000000000e+02 +# Flattened data extracted from tetra_duct20.jl +# First column removed; already flat vectors + +const TETS_duct20 = [ + 26, + 26, + 26, + 2, + 26, + 26, + 26, + 3, + 26, + 27, + 3, + 26, + 27, + 3, + 30, + 4, + 30, + 30, + 26, + 26, + 6, + 37, + 37, + 7, + 38, + 37, + 37, + 30, + 38, + 30, + 30, + 40, + 30, + 30, + 40, + 41, + 37, + 37, + 9, + 35, + 41, + 42, + 42, + 43, + 42, + 37, + 45, + 37, + 45, + 37, + 37, + 45, + 37, + 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-321.643738, + -339.7, + -337.589716, + -339.7, + -329.204529, + -323.741943, + -312.961548, + -337.103548, + -305.268951, + -320.884064, + -308.157212, + -322.399521, + -314.194369, + -293.218363, + -253.492558, + -273.176989, + -287.07431, + -257.803223, + -278.084778, + -256.04364, + -303.25473, + -304.568726, + -296.266357, + -291.757223, + -287.113861, + -272.809251, + -260.71637, + -259.804016, + -244.290314, + -225.924717, + -274.235229, + -226.449899, + -244.485714, + -261.289032, + -244.5, + -239.714232, + -339.7, + -339.7, + -339.7, + -339.7, + -339.7, + -321.770355, + -321.679932, + -320.657143, + -304.526807, + -315.294891, + -321.515672, + -314.301575, + -301.614286, + -282.571429, + -263.528571, + -282.284363, + -261.664093, + -295.962982, + -244.5, + -262.470672, + -282.213515, + -239.663716, + -268.126373, + -266.766937, + -255.714543, + -239.917906, + -244.5, + -244.5, + -339.7, + -339.7, + -339.7, + -339.7, + -327.413818, + -312.962732, + -309.41629, + -290.762878, + -302.178328, + -305.816803, + -321.179345, + -271.848521, + -291.56119, + -268.156982, + -294.677551, + -280.550415, + -323.13029, + -261.996372, + -281.885515, + -244.5, + -267.307556, + -258.733412, + -244.5, + -244.5, + -258.333904, + -259.475464, + -244.5, + -277.978867, + -244.5, + -244.5, + -339.7, + -339.7, + -321.842712, + -339.7, + -339.7, + -322.493896, + -298.617798, + -301.676684, + -308.8013, + -322.147558, + -302.28733, + -315.620453, + -272.380737, + -261.887821, + -279.516907, + -321.578332, + -280.337891, + -260.669281, + -244.5, + -267.893768, + -261.205347, + -244.5, + -244.5, + -281.661605, + -262.707034, + -244.5, + -261.112405, + -244.5, + -244.5, + -244.5, + -244.5, + -244.5, + -339.7, + -339.7, + -339.7, + -322.4758, + -323.344025, + -324.180588, + -304.460205, + -302.769274, + -306.125421, + -276.174299, + -274.116821, + -289.736603, + -322.354039, + -293.645773, + -266.159058, + -270.498138, + -258.372101, + -263.54, + -282.659734, + -244.5, + -263.54, + -244.5, + -244.5, + -263.54, + -271.37694, + -258.010345, + -258.010345, + -271.013647, + -339.7, + -339.7, + -339.7, + -316.940887, + -314.175881, + -306.582927, + -300.137177, + -282.58, + -282.628052, + -324.437659, + -313.522247, + -301.62, + -273.41156, + -293.042751, + -282.58, + -263.54, + -271.013647, + -271.013647, + -282.58, + -285.684906, + -274.380188, + -292.097357, + -314.214773, + -339.7, + -339.7, + -339.7, + -320.66, + -301.62, + -297.333557, + -305.38269, + -320.666992, + -313.184435, + -288.850311, + -301.62, + -292.097357, + -282.58, + -292.097357, + -300.589386, + -320.66, + -339.7, + -339.7, + -339.7, + -339.7, + -320.66, + -326.165741, + -313.184435, + -326.499512, + -309.336029, + -313.184435, + -301.62, + -339.7, + -339.7, + -320.66, + -339.7, ] - const Const_duct20 = [ 1, 2, @@ -5862,6 +20309,3 @@ const Const_duct20 = [ 1066, 1067, ] - -const TETS_duct20 = vec(reshape(_TETS_duct20[:, 2:5], 4104 * 4, 1)) -const xe_duct20 = vec(reshape(_xe_duct20[:, 2:4], 1067 * 3, 1)) diff --git a/data/tetra_foam5.jl b/data/tetra_foam5.jl index 105d737c..c57ca7a3 100644 --- a/data/tetra_foam5.jl +++ b/data/tetra_foam5.jl @@ -1,6193 +1,23409 @@ -const _xe_foam5 = [ - 1 -5.40174000000000e+00 6.39390000000000e+01 2.35429500000000e+00 - 2 -5.40174000000000e+00 6.63841800000000e+01 2.35429500000000e+00 - 3 -5.40174000000000e+00 6.69957000000000e+01 2.35429500000000e+00 - 4 -5.12564000000000e+00 6.70392300000000e+01 2.28031500000000e+00 - 5 -5.40174000000000e+00 6.76072100000000e+01 2.35429500000000e+00 - 6 -5.12564000000000e+00 6.76193400000000e+01 2.28031500000000e+00 - 7 -5.40174000000000e+00 6.82187200000000e+01 2.35429500000000e+00 - 8 -5.12564000000000e+00 6.81990000000000e+01 2.28031500000000e+00 - 9 -5.40174000000000e+00 6.94415000000000e+01 2.35429500000000e+00 - 10 -5.40174000000000e+00 6.88302300000000e+01 2.35429500000000e+00 - 11 -5.12564000000000e+00 6.88202500000000e+01 2.28031500000000e+00 - 12 -5.12564000000000e+00 6.94415000000000e+01 2.28031500000000e+00 - 13 -3.96370000000000e+00 6.94415000000000e+01 1.96897300000000e+00 - 14 -3.96375000000000e+00 6.89648800000000e+01 1.96898700000000e+00 - 15 -3.96381000000000e+00 6.81990000000000e+01 1.96900400000000e+00 - 16 -3.97056000000000e+00 6.78628100000000e+01 1.97081100000000e+00 - 17 -3.97506000000000e+00 6.73270000000000e+01 1.97201700000000e+00 - 18 -5.12435000000000e+00 6.39390000000000e+01 2.90904900000000e+00 - 19 -4.83934000000000e+00 6.39390000000000e+01 2.20360100000000e+00 - 20 -5.12564000000000e+00 6.41390000000000e+01 2.28031500000000e+00 - 21 -5.40174000000000e+00 6.45496500000000e+01 2.35429500000000e+00 - 22 -5.40174000000000e+00 6.57726700000000e+01 2.35429500000000e+00 - 23 -5.40174000000000e+00 6.51611600000000e+01 2.35429500000000e+00 - 24 -5.12564000000000e+00 6.64591100000000e+01 2.28031500000000e+00 - 25 -4.78967000000000e+00 6.39390000000000e+01 3.43227900000000e+00 - 26 -5.12564000000000e+00 6.47187600000000e+01 2.28031500000000e+00 - 27 -5.12564000000000e+00 6.52988800000000e+01 2.28031500000000e+00 - 28 -5.12564000000000e+00 6.58790000000000e+01 2.28031500000000e+00 - 29 -4.27638000000000e+00 6.39390000000000e+01 2.05275700000000e+00 - 30 -3.94753000000000e+00 6.41390000000000e+01 1.96464200000000e+00 - 31 -4.54479000000000e+00 6.94415000000000e+01 2.12467500000000e+00 - 32 -3.85699000000000e+00 6.94415000000000e+01 2.44310200000000e+00 - 33 -5.12028000000000e+00 6.62380000000000e+01 2.91621200000000e+00 - 34 -4.55224000000000e+00 6.65815100000000e+01 2.12667300000000e+00 - 35 -3.97523000000000e+00 6.68681000000000e+01 2.61711800000000e+00 - 36 -4.54732000000000e+00 6.71676200000000e+01 2.12535300000000e+00 - 37 -5.12078000000000e+00 6.68451200000000e+01 2.91531900000000e+00 - 38 -4.64639000000000e+00 6.66719300000000e+01 2.93386600000000e+00 - 39 -3.94485000000000e+00 6.74376300000000e+01 2.56663900000000e+00 - 40 -4.54680000000000e+00 6.77259400000000e+01 2.12521600000000e+00 - 41 -5.12105000000000e+00 6.74583500000000e+01 2.91484500000000e+00 - 42 -4.42675000000000e+00 6.80464300000000e+01 2.70361900000000e+00 - 43 -4.54476000000000e+00 6.86378900000000e+01 2.12466900000000e+00 - 44 -4.15351000000000e+00 6.83883400000000e+01 2.42930400000000e+00 - 45 -3.94169000000000e+00 6.80569900000000e+01 2.56165100000000e+00 - 46 -4.54490000000000e+00 6.81990000000000e+01 2.12470600000000e+00 - 47 -3.96504000000000e+00 6.87791800000000e+01 2.59962500000000e+00 - 48 -5.12180000000000e+00 6.80909800000000e+01 2.91353800000000e+00 - 49 -5.12304000000000e+00 6.87678900000000e+01 2.91134700000000e+00 - 50 -5.12435000000000e+00 6.94415000000000e+01 2.90904900000000e+00 - 51 -3.38261000000000e+00 6.94415000000000e+01 1.81327000000000e+00 - 52 -3.37754000000000e+00 6.94415000000000e+01 2.06086400000000e+00 - 53 -3.42852000000000e+00 6.75480400000000e+01 1.82557300000000e+00 - 54 -3.45406000000000e+00 6.76226300000000e+01 2.10069700000000e+00 - 55 -3.05244000000000e+00 6.75095000000000e+01 1.86042400000000e+00 - 56 -3.41944000000000e+00 6.88490400000000e+01 2.08192000000000e+00 - 57 -3.44937000000000e+00 6.82313800000000e+01 2.09807500000000e+00 - 58 -3.38272000000000e+00 6.86329800000000e+01 1.81329900000000e+00 - 59 -2.93361000000000e+00 6.77414000000000e+01 1.69296300000000e+00 - 60 -3.38272000000000e+00 6.81990000000000e+01 1.81330200000000e+00 - 61 -3.97631000000000e+00 6.67493200000000e+01 1.97235100000000e+00 - 62 -3.48858000000000e+00 6.70460200000000e+01 2.12072200000000e+00 - 63 -2.93823000000000e+00 6.72112100000000e+01 1.69420100000000e+00 - 64 -3.41591000000000e+00 6.69599600000000e+01 1.82219400000000e+00 - 65 -4.99060000000000e+00 6.44594800000000e+01 3.13295900000000e+00 - 66 -4.51589000000000e+00 6.39390000000000e+01 2.72169600000000e+00 - 67 -4.71456000000000e+00 6.46020400000000e+01 2.17016700000000e+00 - 68 -4.53665000000000e+00 6.41390000000000e+01 2.12249400000000e+00 - 69 -5.09298000000000e+00 6.50338600000000e+01 2.96362600000000e+00 - 70 -3.63628000000000e+00 6.65135300000000e+01 2.22296600000000e+00 - 71 -4.73760000000000e+00 6.48807100000000e+01 3.50380100000000e+00 - 72 -4.57832000000000e+00 6.59659700000000e+01 2.13365900000000e+00 - 73 -5.11577000000000e+00 6.56328300000000e+01 2.92411000000000e+00 - 74 -4.52569000000000e+00 6.61967300000000e+01 2.67984700000000e+00 - 75 -4.00495000000000e+00 6.64148300000000e+01 2.67179900000000e+00 - 76 -3.71342000000000e+00 6.39390000000000e+01 1.90191200000000e+00 - 77 -4.67497000000000e+00 6.43785200000000e+01 3.58694500000000e+00 - 78 -4.40178000000000e+00 6.39390000000000e+01 3.91737500000000e+00 - 79 -4.15735000000000e+00 6.39390000000000e+01 3.21777200000000e+00 - 80 -3.91979000000000e+00 6.39390000000000e+01 2.54715700000000e+00 - 81 -4.68326000000000e+00 6.52471300000000e+01 2.16177900000000e+00 - 82 -3.83028000000000e+00 6.43040400000000e+01 2.26526700000000e+00 - 83 -3.99032000000000e+00 6.61483800000000e+01 1.97610700000000e+00 - 84 -3.56384000000000e+00 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- 1321 3.84854000000000e+00 6.84486400000000e+01 3.81553400000000e+00 - 1322 4.38975000000000e+00 6.83521700000000e+01 3.93085100000000e+00 - 1323 3.25455000000000e+00 6.88810100000000e+01 4.56945800000000e+00 - 1324 3.25455000000000e+00 6.94415000000000e+01 4.56945800000000e+00 - 1325 3.52329000000000e+00 6.89455700000000e+01 4.72313300000000e+00 - 1326 3.29769000000000e+00 6.94415000000000e+01 4.88331200000000e+00 - 1327 3.58711000000000e+00 6.91677300000000e+01 4.00726000000000e+00 - 1328 3.12934000000000e+00 6.94415000000000e+01 4.10215100000000e+00 - 1329 4.29390000000000e+00 6.92394100000000e+01 3.76073600000000e+00 - 1330 4.58290000000000e+00 6.94415000000000e+01 3.70385500000000e+00 - 1331 4.34208000000000e+00 6.94415000000000e+01 3.36410800000000e+00 - 1332 3.63589000000000e+00 6.94415000000000e+01 3.55100600000000e+00 - 1333 4.39177000000000e+00 6.89455700000000e+01 3.92859800000000e+00 - 1334 3.95855000000000e+00 6.89270000000000e+01 3.66825800000000e+00 - 1335 3.97549000000000e+00 6.87736700000000e+01 4.34936700000000e+00 - 1336 3.76440000000000e+00 6.94415000000000e+01 4.53330300000000e+00 - 1337 4.19420000000000e+00 6.94415000000000e+01 4.13886200000000e+00 +# Flattened data extracted from tetra_foam5.jl +# First column removed; already flat vectors + +const TETS_foam5 = [ + 18, + 19, + 22, + 2, + 2, + 28, + 3, + 3, + 24, + 6, + 4, + 4, + 41, + 36, + 5, + 5, + 6, + 8, + 6, + 48, + 7, + 7, + 8, + 46, + 11, + 8, + 49, + 10, + 10, + 11, + 31, + 31, + 49, + 51, + 13, + 13, + 51, + 31, + 15, + 15, + 32, + 47, + 56, + 32, + 47, + 45, + 47, + 46, + 47, + 60, + 15, + 15, + 45, + 47, + 57, + 56, + 60, + 46, + 16, + 40, + 39, + 45, + 54, + 45, + 54, + 17, + 36, + 61, + 17, + 35, + 39, + 62, + 39, + 35, + 25, + 18, + 66, + 66, + 29, + 68, + 26, + 20, + 20, + 65, + 21, + 21, + 23, + 22, + 27, + 23, + 26, + 24, + 33, + 24, + 34, + 74, + 38, + 24, + 78, + 25, + 66, + 27, + 26, + 69, + 28, + 73, + 28, + 33, + 30, + 80, + 82, + 76, + 66, + 68, + 30, + 30, 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2.063508, + 2.199805, + 1.77614, + 2.231801, + 1.991681, + 2.300574, + 2.270893, + 2.43734, + 2.450761, + 2.421398, + 2.447038, + 2.502465, + 2.847117, + 5.227961, + 5.347744, + 3.493042, + 3.416801, + 4.944634, + 5.069647, + 4.569458, + 4.738982, + 4.00787, + 4.358642, + 3.044705, + 2.739573, + 2.847216, + 4.049316, + 3.424841, + 2.861773, + 2.845422, + 2.810882, + 3.28627, + 3.932867, + 2.965725, + 3.466649, + 3.259178, + 2.762613, + 5.230371, + 5.235835, + 5.340444, + 5.134118, + 5.329484, + 5.43678, + 2.328668, + 2.525988, + 2.729551, + 2.699389, + 2.328571, + 2.704054, + 2.494799, + 3.061185, + 3.166976, + 2.91759, + 2.977294, + 2.769477, + 2.847117, + 2.806043, + 2.970402, + 2.744004, + 2.771781, + 2.847117, + 2.847117, + 3.377547, + 3.409095, + 4.946377, + 5.065445, + 3.524898, + 4.737174, + 4.569458, + 4.358073, + 3.300283, + 3.382901, + 3.997518, + 3.207029, + 3.325516, + 3.631987, + 3.932379, + 3.467494, + 4.963843, + 4.87706, + 5.054497, + 5.185458, + 2.710863, + 3.232545, + 3.077906, + 3.634563, + 2.847117, + 2.710809, + 3.469687, + 3.417821, + 3.126966, + 3.293391, + 3.148175, + 3.218839, + 3.30974, + 3.445621, + 4.73151, + 3.839478, + 3.961822, + 4.569458, + 4.355653, + 4.031945, + 3.638815, + 3.815534, + 3.930851, + 4.569458, + 4.569458, + 4.723133, + 4.883312, + 4.00726, + 4.102151, + 3.760736, + 3.703855, + 3.364108, + 3.551006, + 3.928598, + 3.668258, + 4.349367, + 4.533303, + 4.138862, ] - const Const_foam5 = [ 1, 2, @@ -7238,6 +24454,3 @@ const Const_foam5 = [ 1336, 1337, ] - -const TETS_foam5 = vec(reshape(_TETS_foam5[:, 2:5], 4847 * 4, 1)) -const xe_foam5 = vec(reshape(_xe_foam5[:, 2:4], 1337 * 3, 1)) diff --git a/data/tetra_gear.jl b/data/tetra_gear.jl index 95ad0072..2a3e66e0 100644 --- a/data/tetra_gear.jl +++ b/data/tetra_gear.jl @@ -1,3991 +1,15072 @@ -const _xe_gear = [ - 1 -1.29203000000000e+00 -1.27247000000000e+00 -2.94400000000000e-01 - 2 -1.66616000000000e+00 -1.10629000000000e+00 5.00000000000000e-05 - 3 -1.53883000000000e+00 -1.27748000000000e+00 1.15390000000000e-01 - 4 -1.66616000000000e+00 -1.10629000000000e+00 2.50100000000000e-01 - 5 -1.56169000000000e+00 -1.24944000000000e+00 3.28670000000000e-01 - 6 -1.66616000000000e+00 -1.10629000000000e+00 5.00000000000000e-01 - 7 -1.44355000000000e+00 -1.20744000000000e+00 2.76670000000000e-01 - 8 -1.50495000000000e+00 -1.31723000000000e+00 5.00000000000000e-01 - 9 -1.10629000000000e+00 -1.66616000000000e+00 -5.00000000000000e-01 - 10 -1.31723000000000e+00 -1.50495000000000e+00 -5.00000000000000e-01 - 11 -1.32990000000000e+00 -1.49377000000000e+00 -2.35860000000000e-01 - 12 -1.10629000000000e+00 -1.66616000000000e+00 -2.50100000000000e-01 - 13 -1.11873000000000e+00 -1.34071000000000e+00 -2.27870000000000e-01 - 14 -1.19911000000000e+00 -1.21264000000000e+00 -7.75100000000000e-02 - 15 -1.10629000000000e+00 -1.66616000000000e+00 5.00000000000000e-01 - 16 -1.24542000000000e+00 -1.23428000000000e+00 1.48230000000000e-01 - 17 -1.40506000000000e+00 -1.42330000000000e+00 2.86130000000000e-01 - 18 -1.31719000000000e+00 -1.50499000000000e+00 5.00000000000000e-01 - 19 -1.34849000000000e+00 -1.47701000000000e+00 3.49500000000000e-02 - 20 -1.10629000000000e+00 -1.66616000000000e+00 -5.00000000000000e-05 - 21 -1.10629000000000e+00 -1.66616000000000e+00 2.50000000000000e-01 - 22 -1.03211000000000e+00 -1.33534000000000e+00 1.60510000000000e-01 - 23 -1.11222000000000e+00 -1.36740000000000e+00 2.35500000000000e-02 - 24 -1.08870000000000e+00 -1.36420000000000e+00 -3.67310000000000e-01 - 25 -1.66616000000000e+00 -1.10629000000000e+00 -2.50000000000000e-01 - 26 -1.66616000000000e+00 -1.10629000000000e+00 -5.00000000000000e-01 - 27 -1.50499000000000e+00 -1.31719000000000e+00 -5.00000000000000e-01 - 28 -1.01617000000000e+00 -1.10335000000000e+00 -5.00000000000000e-01 - 29 -1.54038000000000e+00 -1.27562000000000e+00 -1.92310000000000e-01 - 30 -1.20715000000000e+00 -1.24416000000000e+00 -5.00000000000000e-01 - 31 -1.35425000000000e+00 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1.89321000000000e+00 6.44760000000000e-01 5.00000000000000e-01 - 776 1.79116000000000e+00 8.89790000000000e-01 5.00000000000000e-01 - 777 1.62386000000000e+00 6.58130000000000e-01 7.82400000000000e-02 - 778 1.74000000000000e+00 6.89270000000000e-01 1.78510000000000e-01 - 779 1.79116000000000e+00 8.89790000000000e-01 2.50000000000000e-01 - 780 1.68629000000000e+00 8.29240000000000e-01 -5.00000000000000e-05 - 781 1.67640000000000e+00 6.77660000000000e-01 3.43430000000000e-01 - 782 1.65826000000000e+00 5.14580000000000e-01 5.00000000000000e-01 - 783 1.41880000000000e+00 4.86810000000000e-01 5.00000000000000e-01 - 784 1.37461000000000e+00 6.00370000000000e-01 3.12280000000000e-01 - 785 1.18381000000000e+00 1.37454000000000e+00 -1.59140000000000e-01 - 786 7.13520000000000e-01 1.31942000000000e+00 7.21400000000000e-02 - 787 6.02540000000000e-01 1.37366000000000e+00 5.00000000000000e-01 - 788 8.89790000000000e-01 1.79116000000000e+00 -2.50000000000000e-01 - 789 7.05460000000000e-01 1.48966000000000e+00 -1.99300000000000e-01 - 790 5.78380000000000e-01 1.59906000000000e+00 7.68000000000000e-02 - 791 6.93920000000000e-01 1.87575000000000e+00 1.15390000000000e-01 - 792 7.09740000000000e-01 1.68003000000000e+00 -7.70700000000000e-02 - 793 7.76200000000000e-01 1.44500000000000e+00 5.72100000000000e-02 - 794 6.90040000000000e-01 1.69906000000000e+00 1.83740000000000e-01 - 795 8.89790000000000e-01 1.79116000000000e+00 5.00000000000000e-05 - 796 6.20590000000000e-01 1.67981000000000e+00 3.18900000000000e-01 - 797 5.59440000000000e-01 1.65212000000000e+00 5.00000000000000e-01 - 798 6.44710000000000e-01 1.89323000000000e+00 5.00000000000000e-01 - 799 7.27740000000000e-01 1.86289000000000e+00 3.28670000000000e-01 - 800 8.89790000000000e-01 1.79116000000000e+00 5.00000000000000e-01 - 801 8.89790000000000e-01 1.79116000000000e+00 2.50100000000000e-01 - 802 7.12000000000000e-01 1.48877000000000e+00 2.61780000000000e-01 - 803 7.13610000000000e-01 1.31937000000000e+00 3.12280000000000e-01 - 804 8.29240000000000e-01 1.68629000000000e+00 -2.50100000000000e-01 - 805 8.75150000000000e-01 1.45181000000000e+00 -1.37330000000000e-01 - 806 1.03540000000000e+00 1.38392000000000e+00 -1.44180000000000e-01 - 807 1.13548000000000e+00 1.53580000000000e+00 -1.04400000000000e-01 - 808 1.04575000000000e+00 1.56129000000000e+00 -2.50100000000000e-01 - 809 1.10629000000000e+00 1.66616000000000e+00 -2.50100000000000e-01 - 810 1.49089000000000e+00 7.68300000000000e-01 1.90380000000000e-01 - 811 1.49730000000000e+00 9.35040000000000e-01 1.96870000000000e-01 - 812 1.25687000000000e+00 8.18690000000000e-01 2.44520000000000e-01 - 813 1.31930000000000e+00 7.13740000000000e-01 5.00000000000000e-01 - 814 1.37627000000000e+00 9.54740000000000e-01 9.62800000000000e-02 - 815 9.21930000000000e-01 1.18323000000000e+00 -6.24700000000000e-02 - 816 1.10473000000000e+00 1.01466000000000e+00 7.21400000000000e-02 - 817 1.36882000000000e+00 1.10275000000000e+00 5.10500000000000e-02 - 818 1.56129000000000e+00 1.04575000000000e+00 -5.00000000000000e-05 - 819 1.48320000000000e+00 1.10847000000000e+00 1.44690000000000e-01 - 820 1.48424000000000e+00 1.11790000000000e+00 -8.35700000000000e-02 - 821 1.66616000000000e+00 1.10629000000000e+00 5.00000000000000e-05 - 822 1.18594000000000e+00 1.52175000000000e+00 -5.68900000000000e-02 - 823 1.26393000000000e+00 1.20335000000000e+00 -7.66300000000000e-02 - 824 1.54038000000000e+00 1.27562000000000e+00 -1.92310000000000e-01 - 825 1.32990000000000e+00 1.49377000000000e+00 -2.35860000000000e-01 - 826 1.68629000000000e+00 8.29240000000000e-01 5.00000000000000e-01 - 827 1.68629000000000e+00 8.29240000000000e-01 2.50000000000000e-01 - 828 1.57825000000000e+00 7.94620000000000e-01 3.81750000000000e-01 - 829 1.47136000000000e+00 7.51880000000000e-01 5.00000000000000e-01 - 830 1.46648000000000e+00 8.56050000000000e-01 3.67830000000000e-01 - 831 1.56129000000000e+00 1.04575000000000e+00 2.50000000000000e-01 - 832 1.66616000000000e+00 1.10629000000000e+00 2.50100000000000e-01 - 833 1.14974000000000e+00 1.39646000000000e+00 -3.59600000000000e-02 - 834 9.21640000000000e-01 1.18345000000000e+00 2.44520000000000e-01 - 835 7.71400000000000e-01 1.50581000000000e+00 5.00000000000000e-01 - 836 8.20460000000000e-01 1.25572000000000e+00 5.00000000000000e-01 - 837 9.38400000000000e-01 1.44725000000000e+00 2.17910000000000e-01 - 838 9.41350000000000e-01 1.45879000000000e+00 8.52500000000000e-02 - 839 8.29240000000000e-01 1.68629000000000e+00 -5.00000000000000e-05 - 840 8.29240000000000e-01 1.68629000000000e+00 2.50000000000000e-01 - 841 8.29240000000000e-01 1.68629000000000e+00 5.00000000000000e-01 - 842 8.92290000000000e-01 1.46258000000000e+00 3.61110000000000e-01 - 843 1.04575000000000e+00 1.56129000000000e+00 -5.00000000000000e-05 - 844 1.10629000000000e+00 1.66616000000000e+00 -5.00000000000000e-05 - 845 1.38406000000000e+00 1.08285000000000e+00 2.68460000000000e-01 - 846 1.10427000000000e+00 1.01517000000000e+00 3.12280000000000e-01 - 847 1.01599000000000e+00 1.10351000000000e+00 5.00000000000000e-01 - 848 1.37305000000000e+00 9.71260000000000e-01 3.39260000000000e-01 - 849 1.18380000000000e+00 9.21200000000000e-01 5.00000000000000e-01 - 850 1.22963000000000e+00 1.19094000000000e+00 1.95950000000000e-01 - 851 1.42578000000000e+00 1.22337000000000e+00 1.92590000000000e-01 - 852 1.53883000000000e+00 1.27748000000000e+00 1.15390000000000e-01 - 853 1.34849000000000e+00 1.47701000000000e+00 3.49500000000000e-02 - 854 1.40844000000000e+00 1.19903000000000e+00 3.68800000000000e-01 - 855 1.56129000000000e+00 1.04575000000000e+00 5.00000000000000e-01 - 856 1.56169000000000e+00 1.24944000000000e+00 3.28670000000000e-01 - 857 1.66616000000000e+00 1.10629000000000e+00 5.00000000000000e-01 - 858 1.16218000000000e+00 1.41999000000000e+00 1.92340000000000e-01 - 859 1.04575000000000e+00 1.56129000000000e+00 5.00000000000000e-01 - 860 1.10629000000000e+00 1.66616000000000e+00 5.00000000000000e-01 - 861 1.04575000000000e+00 1.56129000000000e+00 2.50000000000000e-01 - 862 1.10629000000000e+00 1.66616000000000e+00 2.50000000000000e-01 - 863 1.27150000000000e+00 1.24233000000000e+00 5.00000000000000e-01 - 864 1.40506000000000e+00 1.42330000000000e+00 2.86130000000000e-01 - 865 1.50495000000000e+00 1.31723000000000e+00 5.00000000000000e-01 - 866 1.31719000000000e+00 1.50499000000000e+00 5.00000000000000e-01 +# Flattened data extracted from tetra_gear.jl +# First column removed; already flat vectors + +const TETS_gear = [ + 13, + 10, + 27, + 1, + 24, + 1, + 24, + 31, + 1, + 13, + 11, + 1, + 11, + 19, + 31, + 14, + 1, + 14, + 2, + 3, + 2, + 2, + 2, + 4, + 4, + 3, + 17, + 5, + 33, + 29, + 5, + 16, + 16, + 40, + 16, + 6, + 4, + 4, + 5, + 34, + 6, + 5, + 33, + 8, + 34, + 5, + 7, + 8, + 33, + 7, + 7, + 7, + 34, + 34, + 16, + 45, + 8, + 8, + 12, + 12, + 10, + 51, + 53, + 24, + 20, + 20, + 52, + 11, + 23, + 24, + 19, + 23, + 23, + 13, + 58, + 13, + 13, + 13, + 13, + 57, + 57, + 58, + 23, + 13, + 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855 - 3108 863 859 866 858 - 3109 863 866 864 858 - 3110 866 861 864 858 - 3111 864 861 862 858 - 3112 861 866 859 858 - 3113 866 860 862 859 - 3114 859 861 862 866 - 3115 866 862 864 861 - 3116 865 866 864 863 +const xe_gear = [ + -1.29203, + -1.66616, + -1.53883, + -1.66616, + -1.56169, + -1.66616, + -1.44355, + -1.50495, + -1.10629, + -1.31723, + -1.3299, + -1.10629, + -1.11873, + -1.19911, + -1.10629, + -1.24542, + -1.40506, + -1.31719, + -1.34849, + -1.10629, + -1.10629, + -1.03211, + -1.11222, + -1.0887, + -1.66616, + -1.66616, + -1.50499, + -1.01617, + -1.54038, + -1.20715, + -1.35425, + -1.11263, + -1.50352, + -1.469, + -1.33755, + -1.56129, + -1.56129, + -1.27577, + -1.11415, + -1.37978, + -1.118, + -1.38086, + -1.18322, + -1.56129, + -1.27842, + -1.02261, + -1.20677, + -1.0153, + -0.88979, + -0.88979, + -1.04575, + -1.04575, + -1.04575, + -0.82924, + -0.94693, + -0.89485, + -0.99532, + -0.93345, + -0.93719, + -0.93078, + -0.88979, + -0.88979, + -0.88979, + -0.91041, + 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-0.0779, + -5.0e-5, + -0.2501, + 0.18514, + 0.5, + 0.28613, + 0.5, + 0.5, + 0.24452, + 0.3034, + -0.5, + -0.5, + -0.30633, + -0.06703, + 0.03495, + -0.05639, + -0.06247, + 0.21467, + 0.5, + 0.5, + 0.5, + 0.28613, + 0.24452, + -0.19231, + -0.19073, + -0.35674, + -0.5, + -0.5, + -0.5, + -0.5, + -0.5, + 0.16433, + 0.07214, + -0.23726, + -0.30633, + -0.08434, + -0.14102, + -0.06247, + -0.23726, + -0.25119, + -0.2501, + -0.37645, + -0.5, + -0.25, + -0.30309, + -0.30199, + -0.5, + -0.5, + -0.5, + 0.5, + 0.5, + 0.07824, + 0.17851, + 0.25, + -5.0e-5, + 0.34343, + 0.5, + 0.5, + 0.31228, + -0.15914, + 0.07214, + 0.5, + -0.25, + -0.1993, + 0.0768, + 0.11539, + -0.07707, + 0.05721, + 0.18374, + 5.0e-5, + 0.3189, + 0.5, + 0.5, + 0.32867, + 0.5, + 0.2501, + 0.26178, + 0.31228, + -0.2501, + -0.13733, + -0.14418, + -0.1044, + -0.2501, + -0.2501, + 0.19038, + 0.19687, + 0.24452, + 0.5, + 0.09628, + -0.06247, + 0.07214, + 0.05105, + -5.0e-5, + 0.14469, + -0.08357, + 5.0e-5, + -0.05689, + -0.07663, + -0.19231, + -0.23586, + 0.5, + 0.25, + 0.38175, + 0.5, + 0.36783, + 0.25, + 0.2501, + -0.03596, + 0.24452, + 0.5, + 0.5, + 0.21791, + 0.08525, + -5.0e-5, + 0.25, + 0.5, + 0.36111, + -5.0e-5, + -5.0e-5, + 0.26846, + 0.31228, + 0.5, + 0.33926, + 0.5, + 0.19595, + 0.19259, + 0.11539, + 0.03495, + 0.3688, + 0.5, + 0.32867, + 0.5, + 0.19234, + 0.5, + 0.5, + 0.25, + 0.25, + 0.5, + 0.28613, + 0.5, + 0.5, ] - const Const_gear = [ 2, 3, @@ -4594,6 +15675,3 @@ const Const_gear = [ 865, 866, ] - -const TETS_gear = vec(reshape(_TETS_gear[:, 2:5], 3116 * 4, 1)) -const xe_gear = vec(reshape(_xe_gear[:, 2:4], 866 * 3, 1)) diff --git a/data/tetra_hook.jl b/data/tetra_hook.jl index 00e76569..cc8da84f 100644 --- a/data/tetra_hook.jl +++ b/data/tetra_hook.jl @@ -1,5874 +1,22280 @@ -const _xe_hook = [ - 1 0.00000000000000e+00 -3.00000000000000e+01 -1.37500000000000e+01 - 2 0.00000000000000e+00 -3.00000000000000e+01 -1.75000000000000e+01 - 3 0.00000000000000e+00 -3.50000000000000e+01 -1.75000000000000e+01 - 4 -3.91875000000000e+00 -3.47799000000000e+01 -1.75000000000000e+01 - 5 -3.91578000000000e+00 -2.97433000000000e+01 -1.75000000000000e+01 - 6 -6.36119000000000e+00 -3.05114000000000e+01 -1.55024000000000e+01 - 7 -7.76457000000000e+00 -2.89778000000000e+01 -1.75000000000000e+01 - 8 -8.39861000000000e+00 -3.25769000000000e+01 -1.43213000000000e+01 - 9 -7.78823000000000e+00 -3.41225000000000e+01 -1.75000000000000e+01 - 10 -1.14805000000000e+01 -2.77164000000000e+01 -1.75000000000000e+01 - 11 -1.50000000000000e+01 -2.59808000000000e+01 -1.75000000000000e+01 - 12 -1.82628000000000e+01 -2.38006000000000e+01 -1.75000000000000e+01 - 13 -2.12132000000000e+01 -2.12132000000000e+01 -1.75000000000000e+01 - 14 -1.15598000000000e+01 -3.30359000000000e+01 -1.75000000000000e+01 - 15 -1.69993000000000e+01 -2.75821000000000e+01 -1.75000000000000e+01 - 16 -1.45552000000000e+01 -2.89441000000000e+01 -1.75000000000000e+01 - 17 -1.51859000000000e+01 -3.15339000000000e+01 -1.75000000000000e+01 - 18 -1.86211000000000e+01 -2.96353000000000e+01 -1.75000000000000e+01 - 19 0.00000000000000e+00 -3.55555000000000e+01 -1.36111000000000e+01 - 20 0.00000000000000e+00 -3.00000000000000e+01 -1.00000000000000e+01 - 21 -3.92679000000000e+00 -3.53321000000000e+01 -1.36526000000000e+01 - 22 -5.43708000000000e+00 -3.33330000000000e+01 -1.35234000000000e+01 - 23 -2.54793000000000e+01 -2.00146000000000e+01 -1.75000000000000e+01 - 24 -2.38006000000000e+01 -1.82628000000000e+01 -1.75000000000000e+01 - 25 -2.59808000000000e+01 -1.50000000000000e+01 -1.75000000000000e+01 - 26 -2.77164000000000e+01 -1.14805000000000e+01 -1.75000000000000e+01 - 27 -2.89778000000000e+01 -7.76457000000000e+00 -1.75000000000000e+01 - 28 -3.50000000000000e+01 0.00000000000000e+00 -1.75000000000000e+01 - 29 -3.00000000000000e+01 0.00000000000000e+00 -1.75000000000000e+01 - 30 -2.97433000000000e+01 -3.91578000000000e+00 -1.75000000000000e+01 - 31 -3.47799000000000e+01 -3.91875000000000e+00 -1.75000000000000e+01 - 32 -3.41225000000000e+01 -7.78823000000000e+00 -1.75000000000000e+01 - 33 0.00000000000000e+00 -3.00000000000000e+01 -6.25000000000000e+00 - 34 0.00000000000000e+00 -3.61111000000000e+01 -9.72222000000000e+00 - 35 -1.97783000000000e+00 -3.32317000000000e+01 -8.34966000000000e+00 - 36 0.00000000000000e+00 -3.00000000000000e+01 -2.50000000000000e+00 - 37 -7.80881000000000e+00 -3.46792000000000e+01 -1.36673000000000e+01 - 38 -9.13006000000000e+00 -3.25396000000000e+01 -1.15091000000000e+01 - 39 -3.89999000000000e+00 -2.97454000000000e+01 -1.37393000000000e+01 - 40 -7.73944000000000e+00 -2.89845000000000e+01 -1.37336000000000e+01 - 41 -7.05916000000000e+00 -3.14951000000000e+01 -1.30415000000000e+01 - 42 -3.30359000000000e+01 -1.15598000000000e+01 -1.75000000000000e+01 - 43 -1.14566000000000e+01 -2.77263000000000e+01 -1.37303000000000e+01 - 44 -3.15339000000000e+01 -1.51859000000000e+01 -1.75000000000000e+01 - 45 -2.75830000000000e+01 -1.69973000000000e+01 -1.75000000000000e+01 - 46 -2.89444000000000e+01 -1.45546000000000e+01 -1.75000000000000e+01 - 47 -2.96353000000000e+01 -1.86211000000000e+01 -1.75000000000000e+01 - 48 -2.00180000000000e+01 -2.54777000000000e+01 -1.75000000000000e+01 - 49 -2.29143000000000e+01 -2.29114000000000e+01 -1.75000000000000e+01 - 50 -2.18221000000000e+01 -2.73641000000000e+01 -1.75000000000000e+01 - 51 -2.47487000000000e+01 -2.47487000000000e+01 -1.75000000000000e+01 - 52 -2.73641000000000e+01 -2.18221000000000e+01 -1.75000000000000e+01 - 53 -1.15974000000000e+01 -3.36029000000000e+01 -1.36642000000000e+01 - 54 -1.49851000000000e+01 -2.59893000000000e+01 -1.37309000000000e+01 - 55 -1.82622000000000e+01 -2.38011000000000e+01 -1.37334000000000e+01 - 56 -2.12253000000000e+01 -2.12011000000000e+01 -1.37408000000000e+01 - 57 -2.58504000000000e+01 -2.06348000000000e+01 -1.49647000000000e+01 - 58 -1.52541000000000e+01 -3.21118000000000e+01 -1.36450000000000e+01 - 59 -1.87345000000000e+01 -3.02211000000000e+01 -1.36010000000000e+01 - 60 -2.28280000000000e+01 -2.34526000000000e+01 -1.25366000000000e+01 - 61 -2.20025000000000e+01 -2.79449000000000e+01 -1.35296000000000e+01 - 62 -3.93153000000000e+00 -3.58879000000000e+01 -9.78199000000000e+00 - 63 -3.88712000000000e+00 -2.97471000000000e+01 -9.98202000000000e+00 - 64 -5.53354000000000e+00 -3.25947000000000e+01 -8.32513000000000e+00 - 65 -3.87896000000000e+00 -2.97482000000000e+01 -6.22925000000000e+00 - 66 -3.87812000000000e+00 -2.97483000000000e+01 -2.48647000000000e+00 - 67 0.00000000000000e+00 -3.34599000000000e+01 -2.72424000000000e+00 - 68 0.00000000000000e+00 -3.66667000000000e+01 -5.83333000000000e+00 - 69 -7.81425000000000e+00 -3.52432000000000e+01 -9.80634000000000e+00 - 70 -2.38200000000000e+01 -1.82376000000000e+01 -1.37412000000000e+01 - 71 -2.60008000000000e+01 -1.49652000000000e+01 -1.37403000000000e+01 - 72 -2.77310000000000e+01 -1.14450000000000e+01 -1.37406000000000e+01 - 73 -2.89855000000000e+01 -7.73582000000000e+00 -1.37428000000000e+01 - 74 -3.00000000000000e+01 0.00000000000000e+00 -1.37500000000000e+01 - 75 -3.55555000000000e+01 0.00000000000000e+00 -1.36111000000000e+01 - 76 -2.97459000000000e+01 -3.89610000000000e+00 -1.37422000000000e+01 - 77 -3.53343000000000e+01 -3.99488000000000e+00 -1.35838000000000e+01 - 78 -3.46713000000000e+01 -7.94061000000000e+00 -1.35173000000000e+01 - 79 0.00000000000000e+00 -3.72222000000000e+01 -1.94444000000000e+00 - 80 -3.33455000000000e+00 -3.36575000000000e+01 -4.19736000000000e+00 - 81 -3.91561000000000e+00 -3.64474000000000e+01 -5.90029000000000e+00 - 82 0.00000000000000e+00 -3.77778000000000e+01 1.94444000000000e+00 - 83 0.00000000000000e+00 -3.39676000000000e+01 3.74138000000000e+00 - 84 0.00000000000000e+00 -3.00000000000000e+01 5.00000000000000e+00 - 85 0.00000000000000e+00 -3.00000000000000e+01 1.25000000000000e+00 - 86 0.00000000000000e+00 -3.37171000000000e+01 1.73800000000000e-01 - 87 -2.52055000000000e+00 -3.33931000000000e+01 -8.58290000000000e-01 - 88 -3.87507000000000e+00 -2.97487000000000e+01 1.25148000000000e+00 - 89 -1.16095000000000e+01 -3.41813000000000e+01 -9.80667000000000e+00 - 90 -8.98067000000000e+00 -3.22904000000000e+01 -8.89931000000000e+00 - 91 -7.72485000000000e+00 -2.89884000000000e+01 -9.97553000000000e+00 - 92 -1.14399000000000e+01 -2.77332000000000e+01 -9.97050000000000e+00 - 93 -1.63185000000000e+01 -2.83883000000000e+01 -1.01679000000000e+01 - 94 -3.35699000000000e+01 -1.17975000000000e+01 -1.34220000000000e+01 - 95 -1.49751000000000e+01 -2.59951000000000e+01 -9.97103000000000e+00 - 96 -3.20362000000000e+01 -1.55180000000000e+01 -1.33230000000000e+01 - 97 -3.00748000000000e+01 -1.90503000000000e+01 -1.32950000000000e+01 - 98 -2.50120000000000e+01 -2.53065000000000e+01 -1.34317000000000e+01 - 99 -2.77200000000000e+01 -2.23295000000000e+01 -1.33352000000000e+01 - 100 -1.52904000000000e+01 -3.27074000000000e+01 -9.76530000000000e+00 - 101 -2.69445000000000e+01 -1.88246000000000e+01 -9.83775000000000e+00 - 102 -2.12299000000000e+01 -2.11965000000000e+01 -9.98435000000000e+00 - 103 -1.82590000000000e+01 -2.38035000000000e+01 -9.97699000000000e+00 - 104 -2.51116000000000e+01 -2.09815000000000e+01 -1.02224000000000e+01 - 105 -1.88107000000000e+01 -3.08322000000000e+01 -9.67807000000000e+00 - 106 -2.19409000000000e+01 -2.49975000000000e+01 -8.12963000000000e+00 - 107 -2.21371000000000e+01 -2.85650000000000e+01 -9.52870000000000e+00 - 108 -2.52243000000000e+01 -2.59228000000000e+01 -9.31102000000000e+00 - 109 -7.79297000000000e+00 -3.58137000000000e+01 -5.93774000000000e+00 - 110 -7.71090000000000e+00 -2.89921000000000e+01 -6.22232000000000e+00 - 111 -7.05984000000000e+00 -3.22939000000000e+01 -4.23553000000000e+00 - 112 -7.70417000000000e+00 -2.89939000000000e+01 -2.47940000000000e+00 - 113 -5.85673000000000e+00 -3.32221000000000e+01 -3.51960000000000e-01 - 114 -3.89559000000000e+00 -3.70069000000000e+01 -2.02047000000000e+00 - 115 -1.15949000000000e+01 -3.47693000000000e+01 -5.93811000000000e+00 - 116 -2.38308000000000e+01 -1.82234000000000e+01 -9.98581000000000e+00 - 117 -2.60112000000000e+01 -1.49471000000000e+01 -9.99040000000000e+00 - 118 -2.77383000000000e+01 -1.14274000000000e+01 -9.99440000000000e+00 - 119 -3.61111000000000e+01 0.00000000000000e+00 -9.72222000000000e+00 - 120 -2.89906000000000e+01 -7.71637000000000e+00 -9.99561000000000e+00 - 121 -3.00000000000000e+01 0.00000000000000e+00 -1.00000000000000e+01 - 122 -2.97472000000000e+01 -3.88621000000000e+00 -9.99521000000000e+00 - 123 -3.31877000000000e+01 0.00000000000000e+00 -6.55855000000000e+00 - 124 -3.49337000000000e+01 -1.58642000000000e+00 -6.22744000000000e+00 - 125 -3.58948000000000e+01 -4.04084000000000e+00 -9.64921000000000e+00 - 126 -3.52379000000000e+01 -8.03539000000000e+00 -9.50305000000000e+00 - 127 -3.87587000000000e+00 -3.75668000000000e+01 1.86367000000000e+00 - 128 -7.76072000000000e+00 -3.63867000000000e+01 -2.06402000000000e+00 - 129 -7.70220000000000e+00 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-7.64751000000000e+00 7.63016000000000e+01 - 1094 -3.35528000000000e+01 -7.91586000000000e+00 7.02412000000000e+01 - 1095 -3.11765000000000e+01 -8.66086000000000e+00 7.41745000000000e+01 - 1096 -3.51000000000000e+01 -5.31435000000000e+00 7.39783000000000e+01 - 1097 -3.32637000000000e+01 -1.12260000000000e+01 7.48378000000000e+01 - 1098 -5.18748000000000e+01 -1.50000000000000e+01 5.75000000000000e+01 - 1099 -4.59451000000000e+01 -2.20000000000000e+01 5.68335000000000e+01 - 1100 -4.93153000000000e+01 -2.20000000000000e+01 5.66960000000000e+01 - 1101 -5.07519000000000e+01 -1.84456000000000e+01 5.68599000000000e+01 - 1102 -4.93153000000000e+01 -2.20000000000000e+01 6.05352000000000e+01 - 1103 -4.40085000000000e+01 -1.49758000000000e+01 5.83519000000000e+01 - 1104 -4.59739000000000e+01 -2.20000000000000e+01 6.06079000000000e+01 - 1105 -4.26371000000000e+01 -2.20000000000000e+01 6.06606000000000e+01 - 1106 -4.80518000000000e+01 -1.49969000000000e+01 5.78038000000000e+01 - 1107 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1121 -3.74712000000000e+01 -3.91376000000000e+00 7.71917000000000e+01 - 1122 -3.91695000000000e+01 -3.32745000000000e+00 7.48315000000000e+01 - 1123 -4.15530000000000e+01 -3.86796000000000e+00 7.45734000000000e+01 - 1124 -3.71931000000000e+01 -1.20127000000000e+01 7.08069000000000e+01 - 1125 -3.76113000000000e+01 -7.79164000000000e+00 7.03176000000000e+01 - 1126 -3.72884000000000e+01 -7.70497000000000e+00 7.62830000000000e+01 - 1127 -3.70843000000000e+01 -1.12920000000000e+01 7.48045000000000e+01 - 1128 -4.17224000000000e+01 0.00000000000000e+00 7.75000000000000e+01 - 1129 -5.40000000000000e+01 0.00000000000000e+00 7.75000000000000e+01 - 1130 -4.58150000000000e+01 0.00000000000000e+00 7.75000000000000e+01 - 1131 -4.17224000000000e+01 0.00000000000000e+00 7.25000000000000e+01 - 1132 -4.58150000000000e+01 0.00000000000000e+00 7.25000000000000e+01 - 1133 -5.06751000000000e+01 -1.86558000000000e+01 6.04266000000000e+01 - 1134 -4.05662000000000e+01 -1.46014000000000e+01 7.27928000000000e+01 - 1135 -4.93153000000000e+01 -2.20000000000000e+01 6.43743000000000e+01 - 1136 -5.20211000000000e+01 -1.44848000000000e+01 6.13974000000000e+01 - 1137 -4.78820000000000e+01 -1.87969000000000e+01 6.10798000000000e+01 - 1138 -5.04294000000000e+01 -1.93101000000000e+01 6.33127000000000e+01 - 1139 -4.49176000000000e+01 -1.43405000000000e+01 6.18989000000000e+01 - 1140 -4.84350000000000e+01 -1.44271000000000e+01 6.16059000000000e+01 - 1141 -4.66843000000000e+01 -1.99747000000000e+01 6.75337000000000e+01 - 1142 -4.16460000000000e+01 -3.97653000000000e+00 7.19633000000000e+01 - 1143 -4.14993000000000e+01 -3.93294000000000e+00 7.71887000000000e+01 - 1144 -4.33882000000000e+01 -1.71398000000000e+01 6.65475000000000e+01 - 1145 -4.51594000000000e+01 -1.29132000000000e+01 6.51320000000000e+01 - 1146 -4.37819000000000e+01 -1.75195000000000e+01 7.03344000000000e+01 - 1147 -4.14112000000000e+01 -1.32905000000000e+01 6.96078000000000e+01 - 1148 -4.15707000000000e+01 -1.07125000000000e+01 6.79996000000000e+01 - 1149 -4.15783000000000e+01 -7.64597000000000e+00 7.04050000000000e+01 - 1150 -4.35870000000000e+01 -4.73752000000000e+00 7.41968000000000e+01 - 1151 -4.12261000000000e+01 -7.73357000000000e+00 7.62738000000000e+01 - 1152 -4.09105000000000e+01 -1.13072000000000e+01 7.47968000000000e+01 - 1153 -5.40000000000000e+01 0.00000000000000e+00 7.25000000000000e+01 - 1154 -4.99075000000000e+01 0.00000000000000e+00 7.25000000000000e+01 - 1155 -4.99075000000000e+01 0.00000000000000e+00 7.75000000000000e+01 - 1156 -4.55483000000000e+01 -3.92721000000000e+00 7.71896000000000e+01 - 1157 -4.96529000000000e+01 -3.91212000000000e+00 7.71920000000000e+01 - 1158 -5.38596000000000e+01 -3.89120000000000e+00 7.71953000000000e+01 - 1159 -4.77892000000000e+01 -3.78671000000000e+00 7.47117000000000e+01 - 1160 -4.56776000000000e+01 -3.92441000000000e+00 7.19775000000000e+01 - 1161 -4.97244000000000e+01 -3.90150000000000e+00 7.19837000000000e+01 - 1162 -5.38591000000000e+01 -3.89833000000000e+00 7.19846000000000e+01 - 1163 -5.11790000000000e+01 -1.72252000000000e+01 6.51413000000000e+01 - 1164 -5.24160000000000e+01 -1.29830000000000e+01 6.50128000000000e+01 - 1165 -4.43016000000000e+01 -1.46069000000000e+01 7.27889000000000e+01 - 1166 -5.01833000000000e+01 -1.99407000000000e+01 6.75787000000000e+01 - 1167 -4.53347000000000e+01 -1.06228000000000e+01 6.80903000000000e+01 - 1168 -4.87749000000000e+01 -1.29435000000000e+01 6.50807000000000e+01 - 1169 -4.73985000000000e+01 -1.74817000000000e+01 7.03715000000000e+01 - 1170 -4.72937000000000e+01 -1.53475000000000e+01 6.73656000000000e+01 - 1171 -4.55096000000000e+01 -7.55602000000000e+00 7.04579000000000e+01 - 1172 -4.52064000000000e+01 -7.74775000000000e+00 7.62691000000000e+01 - 1173 -4.52144000000000e+01 -1.20253000000000e+01 7.03913000000000e+01 - 1174 -4.47843000000000e+01 -1.13324000000000e+01 7.47840000000000e+01 - 1175 -5.12888000000000e+01 -4.73660000000000e+00 7.41821000000000e+01 - 1176 -4.92640000000000e+01 -7.71136000000000e+00 7.62810000000000e+01 - 1177 -5.34525000000000e+01 -7.66986000000000e+00 7.62944000000000e+01 - 1178 -4.94585000000000e+01 -7.52053000000000e+00 7.04785000000000e+01 - 1179 -5.34746000000000e+01 -7.51468000000000e+00 7.04819000000000e+01 - 1180 -5.18434000000000e+01 -1.51081000000000e+01 6.76990000000000e+01 - 1181 -4.91268000000000e+01 -1.06001000000000e+01 6.81131000000000e+01 - 1182 -5.29479000000000e+01 -1.06076000000000e+01 6.81056000000000e+01 - 1183 -4.80936000000000e+01 -1.45767000000000e+01 7.28106000000000e+01 - 1184 -5.11102000000000e+01 -1.74284000000000e+01 7.04235000000000e+01 - 1185 -4.90872000000000e+01 -1.31401000000000e+01 6.98238000000000e+01 - 1186 -5.28180000000000e+01 -1.12362000000000e+01 7.48326000000000e+01 - 1187 -4.87270000000000e+01 -1.13008000000000e+01 7.48000000000000e+01 - 1188 -5.29717000000000e+01 -1.04882000000000e+01 7.18139000000000e+01 - 1189 -5.24884000000000e+01 -1.26872000000000e+01 7.01272000000000e+01 - 1190 -5.20141000000000e+01 -1.45099000000000e+01 7.28584000000000e+01 +# Flattened data extracted from tetra_hook.jl +# First column removed; already flat vectors + +const TETS_hook = [ + 19, + 3, + 19, + 4, + 3, + 4, + 21, + 5, + 4, + 9, + 37, + 39, + 9, + 40, + 7, + 7, + 9, + 40, + 7, + 7, + 43, + 10, + 9, + 7, + 53, + 53, + 37, + 8, + 9, + 9, + 14, + 41, + 41, + 54, + 11, + 10, + 55, + 12, + 15, + 55, + 48, + 56, + 56, + 13, + 48, + 17, + 58, + 40, + 16, + 18, + 48, + 15, + 54, + 55, + 18, + 59, + 16, + 16, + 50, + 61, + 21, + 62, + 34, + 20, + 34, + 39, + 35, + 37, + 69, + 22, + 69, + 22, + 22, + 22, + 39, + 70, + 24, + 47, + 52, + 52, + 23, + 70, + 56, + 70, + 71, + 71, + 25, + 72, + 72, + 42, + 73, + 73, + 42, + 28, + 29, + 76, + 74, + 76, + 32, + 31, + 75, + 76, + 32, + 77, + 73, + 33, + 36, + 33, + 67, + 63, + 67, + 68, + 62, + 81, + 35, + 62, + 81, + 65, + 68, + 81, + 65, + 35, + 35, + 65, + 36, + 80, + 87, + 87, + 87, + 89, + 37, + 53, + 38, + 41, + 41, + 53, + 38, + 41, + 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+ 72.8556, + 71.9257, + 77.1981, + 76.3016, + 70.2412, + 74.1745, + 73.9783, + 74.8378, + 57.5, + 56.8335, + 56.696, + 56.8599, + 60.5352, + 58.3519, + 60.6079, + 60.6606, + 57.8038, + 72.5, + 77.5, + 64.3743, + 64.3743, + 64.3743, + 67.5056, + 62.3271, + 67.5117, + 72.8059, + 70.3339, + 68.1216, + 67.739, + 65.074, + 71.9427, + 77.1917, + 74.8315, + 74.5734, + 70.8069, + 70.3176, + 76.283, + 74.8045, + 77.5, + 77.5, + 77.5, + 72.5, + 72.5, + 60.4266, + 72.7928, + 64.3743, + 61.3974, + 61.0798, + 63.3127, + 61.8989, + 61.6059, + 67.5337, + 71.9633, + 77.1887, + 66.5475, + 65.132, + 70.3344, + 69.6078, + 67.9996, + 70.405, + 74.1968, + 76.2738, + 74.7968, + 72.5, + 72.5, + 77.5, + 77.1896, + 77.192, + 77.1953, + 74.7117, + 71.9775, + 71.9837, + 71.9846, + 65.1413, + 65.0128, + 72.7889, + 67.5787, + 68.0903, + 65.0807, + 70.3715, + 67.3656, + 70.4579, + 76.2691, + 70.3913, + 74.784, + 74.1821, + 76.281, + 76.2944, + 70.4785, + 70.4819, + 67.699, + 68.1131, + 68.1056, + 72.8106, + 70.4235, + 69.8238, + 74.8326, + 74.8, + 71.8139, + 70.1272, + 72.8584, ] - const Const_hook = [ 1, 2, @@ -6660,7 +23066,4 @@ const Const_hook = [ 1188, 1189, 1190, -] - -const TETS_hook = vec(reshape(_TETS_hook[:, 2:5], 4675 * 4, 1)) -const xe_hook = vec(reshape(_xe_hook[:, 2:4], 1190 * 3, 1)) +] \ No newline at end of file diff --git a/data/triangle_deer.jl b/data/triangle_deer.jl index 8cf418e7..cfaff87c 100644 --- a/data/triangle_deer.jl +++ b/data/triangle_deer.jl @@ -1,3030 +1,7942 @@ -const _xe_deer = [ - 1 2.90000000000000e+00 1.20000000000000e+00 - 2 3.60000000000000e+00 1.20000000000000e+00 - 3 3.35000000000000e+00 1.20000000000000e+00 - 4 3.11610000000000e+00 1.44660000000000e+00 - 5 2.85000000000000e+00 1.47500000000000e+00 - 6 6.30000000000000e+00 1.25000000000000e+00 - 7 3.40300000000000e+00 1.65960000000000e+00 - 8 3.07730000000000e+00 1.69830000000000e+00 - 9 2.80000000000000e+00 1.75000000000000e+00 - 10 6.25360000000000e+00 1.36610000000000e+00 - 11 6.17710000000000e+00 1.27300000000000e+00 - 12 3.30000000000000e+00 1.90000000000000e+00 - 13 2.99470000000000e+00 1.95850000000000e+00 - 14 2.67500000000000e+00 2.01250000000000e+00 - 15 6.05430000000000e+00 1.29610000000000e+00 - 16 6.20720000000000e+00 1.48210000000000e+00 - 17 5.80860000000000e+00 1.34210000000000e+00 - 18 5.50000000000000e+00 1.40000000000000e+00 - 19 3.22250000000000e+00 2.16250000000000e+00 - 20 2.89320000000000e+00 2.22750000000000e+00 - 21 2.55000000000000e+00 2.27500000000000e+00 - 22 6.11430000000000e+00 1.71420000000000e+00 - 23 5.47740000000000e+00 1.64900000000000e+00 - 24 5.82650000000000e+00 1.60420000000000e+00 - 25 3.14500000000000e+00 2.42500000000000e+00 - 26 2.77220000000000e+00 2.53170000000000e+00 - 27 2.42500000000000e+00 2.53750000000000e+00 - 28 2.63000000000000e+00 2.77520000000000e+00 - 29 6.00000000000000e+00 2.00000000000000e+00 - 30 5.45000000000000e+00 1.95000000000000e+00 - 31 5.70370000000000e+00 2.32830000000000e+00 - 32 2.99000000000000e+00 2.95000000000000e+00 - 33 2.66260000000000e+00 3.05660000000000e+00 - 34 2.30000000000000e+00 2.80000000000000e+00 - 35 0.00000000000000e+00 7.50000000000000e+00 - 36 6.00000000000000e+00 2.47500000000000e+00 - 37 5.40000000000000e+00 2.50000000000000e+00 - 38 5.66870000000000e+00 2.71650000000000e+00 - 39 2.49790000000000e+00 3.28270000000000e+00 - 40 2.84750000000000e+00 3.73750000000000e+00 - 41 2.89500000000000e+00 3.47500000000000e+00 - 42 2.10000000000000e+00 3.40000000000000e+00 - 43 2.00000000000000e+00 3.70000000000000e+00 - 44 1.68200000000000e-01 7.97090000000000e+00 - 45 -9.81000000000000e-02 7.99030000000000e+00 - 46 6.00000000000000e+00 2.95000000000000e+00 - 47 5.30000000000000e+00 2.90000000000000e+00 - 48 5.60870000000000e+00 3.14560000000000e+00 - 49 2.80000000000000e+00 4.00000000000000e+00 - 50 2.53210000000000e+00 3.68210000000000e+00 - 51 2.18610000000000e+00 3.77690000000000e+00 - 52 1.90000000000000e+00 4.00000000000000e+00 - 53 2.50000000000000e-01 8.20000000000000e+00 - 54 8.71000000000000e-02 8.42540000000000e+00 - 55 -1.96100000000000e-01 8.48060000000000e+00 - 56 -3.00000000000000e-01 9.00000000000000e+00 - 57 -4.00000000000000e-01 1.00000000000000e+01 - 58 5.90000000000000e+00 3.47500000000000e+00 - 59 5.58370000000000e+00 3.53220000000000e+00 - 60 5.20000000000000e+00 3.30000000000000e+00 - 61 2.78750000000000e+00 4.25000000000000e+00 - 62 2.39830000000000e+00 4.10250000000000e+00 - 63 1.52500000000000e+00 4.75000000000000e+00 - 64 2.08180000000000e+00 4.46510000000000e+00 - 65 1.65000000000000e+00 4.50000000000000e+00 - 66 2.77500000000000e+00 4.50000000000000e+00 - 67 1.40000000000000e+00 5.00000000000000e+00 - 68 1.42500000000000e+00 5.50000000000000e+00 - 69 1.45000000000000e+00 6.00000000000000e+00 - 70 3.75000000000000e-01 8.60000000000000e+00 - 71 1.04800000000000e-01 8.85610000000000e+00 - 72 -2.04000000000000e-02 9.24330000000000e+00 - 73 -3.50000000000000e-01 9.50000000000000e+00 - 74 -1.51300000000000e-01 9.88560000000000e+00 - 75 -2.00000000000000e-01 1.05000000000000e+01 - 76 -3.00000000000000e-01 1.02500000000000e+01 - 77 5.80000000000000e+00 4.00000000000000e+00 - 78 5.10000000000000e+00 3.75000000000000e+00 - 79 5.41000000000000e+00 3.74040000000000e+00 - 80 2.50080000000000e+00 4.54320000000000e+00 - 81 2.21220000000000e+00 4.79160000000000e+00 - 82 1.82960000000000e+00 4.85310000000000e+00 - 83 2.76250000000000e+00 4.75000000000000e+00 - 84 1.77770000000000e+00 5.31090000000000e+00 - 85 1.74140000000000e+00 5.75270000000000e+00 - 86 1.46250000000000e+00 6.25000000000000e+00 - 87 1.69010000000000e+00 6.07840000000000e+00 - 88 5.00000000000000e-01 9.00000000000000e+00 - 89 2.88000000000000e-01 9.24330000000000e+00 - 90 1.55400000000000e-01 9.61710000000000e+00 - 91 1.47500000000000e+00 6.50000000000000e+00 - 92 -1.00000000000000e-01 1.07500000000000e+01 - 93 0.00000000000000e+00 1.10000000000000e+01 - 94 1.38200000000000e-01 1.00610000000000e+01 - 95 1.20100000000000e-01 1.04730000000000e+01 - 96 5.00000000000000e+00 4.20000000000000e+00 - 97 5.65000000000000e+00 4.50000000000000e+00 - 98 5.36620000000000e+00 4.11990000000000e+00 - 99 2.48830000000000e+00 4.94300000000000e+00 - 100 2.16030000000000e+00 5.15390000000000e+00 - 101 2.75000000000000e+00 5.00000000000000e+00 - 102 2.10980000000000e+00 5.60560000000000e+00 - 103 1.99610000000000e+00 6.02150000000000e+00 - 104 1.80040000000000e+00 6.36760000000000e+00 - 105 4.83100000000000e-01 9.88640000000000e+00 - 106 7.00000000000000e-01 9.50000000000000e+00 - 107 1.74380000000000e+00 6.70580000000000e+00 - 108 1.50000000000000e+00 7.00000000000000e+00 - 109 1.22500000000000e+00 8.25000000000000e+00 - 110 1.30000000000000e+00 8.00000000000000e+00 - 111 2.03950000000000e+00 6.66790000000000e+00 - 112 2.35400000000000e-01 1.08512000000000e+01 - 113 2.50000000000000e-01 1.12250000000000e+01 - 114 5.00000000000000e-01 1.14500000000000e+01 - 115 5.21800000000000e-01 1.02538000000000e+01 - 116 5.45600000000000e-01 1.06454000000000e+01 - 117 4.85000000000000e+00 4.45000000000000e+00 - 118 5.57500000000000e+00 4.75000000000000e+00 - 119 5.23730000000000e+00 4.52910000000000e+00 - 120 2.54430000000000e+00 5.41920000000000e+00 - 121 3.00000000000000e+00 5.42500000000000e+00 - 122 2.43890000000000e+00 5.97540000000000e+00 - 123 2.19600000000000e+00 6.34950000000000e+00 - 124 2.33680000000000e+00 6.64390000000000e+00 - 125 1.12000000000000e+01 9.00000000000000e-01 - 126 1.15000000000000e+00 8.50000000000000e+00 - 127 1.00000000000000e+00 9.00000000000000e+00 - 128 9.00000000000000e-01 1.00000000000000e+01 - 129 9.50000000000000e-01 9.50000000000000e+00 - 130 1.90400000000000e+00 6.99340000000000e+00 - 131 1.75350000000000e+00 7.29590000000000e+00 - 132 1.40000000000000e+00 7.50000000000000e+00 - 133 1.51220000000000e+00 8.47900000000000e+00 - 134 1.55050000000000e+00 8.16410000000000e+00 - 135 1.59090000000000e+00 7.86860000000000e+00 - 136 2.25580000000000e+00 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1.48060000000000e+00 8.90370000000000e+00 - 158 1.34470000000000e+00 9.34140000000000e+00 - 159 1.30980000000000e+00 9.81070000000000e+00 - 160 2.13160000000000e+00 7.34310000000000e+00 - 161 1.83180000000000e+00 7.64280000000000e+00 - 162 1.80280000000000e+00 8.35150000000000e+00 - 163 1.86410000000000e+00 8.70470000000000e+00 - 164 1.87220000000000e+00 8.03580000000000e+00 - 165 2.49480000000000e+00 7.20300000000000e+00 - 166 2.43890000000000e+00 7.50530000000000e+00 - 167 1.25000000000000e+00 1.19250000000000e+01 - 168 1.00840000000000e+00 1.11803000000000e+01 - 169 1.01030000000000e+00 1.15937000000000e+01 - 170 1.45420000000000e+00 1.01365000000000e+01 - 171 1.18540000000000e+00 1.08222000000000e+01 - 172 1.35640000000000e+00 1.11274000000000e+01 - 173 1.39550000000000e+00 1.04772000000000e+01 - 174 1.66270000000000e+00 9.93920000000000e+00 - 175 2.78470000000000e+00 7.14460000000000e+00 - 176 5.38750000000000e+00 5.25000000000000e+00 - 177 4.40000000000000e+00 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2.34590000000000e+00 1.01653000000000e+01 - 240 3.53340000000000e+00 7.32230000000000e+00 - 241 5.16250000000000e+00 5.75000000000000e+00 - 242 4.61740000000000e+00 5.80050000000000e+00 - 243 4.30350000000000e+00 6.08300000000000e+00 - 244 4.05450000000000e+00 6.34140000000000e+00 - 245 3.76370000000000e+00 6.59300000000000e+00 - 246 3.81340000000000e+00 7.01050000000000e+00 - 247 1.20000000000000e+01 1.90000000000000e+00 - 248 1.15000000000000e+01 2.00000000000000e+00 - 249 1.43000000000000e+01 1.39000000000000e+00 - 250 1.47000000000000e+01 1.40000000000000e+00 - 251 2.55890000000000e+00 9.27510000000000e+00 - 252 2.75560000000000e+00 9.61510000000000e+00 - 253 2.88400000000000e+00 8.98840000000000e+00 - 254 2.84030000000000e+00 8.65000000000000e+00 - 255 3.66840000000000e+00 7.71380000000000e+00 - 256 3.37180000000000e+00 7.99950000000000e+00 - 257 3.00750000000000e+00 8.30200000000000e+00 - 258 2.00000000000000e+00 1.20000000000000e+01 - 259 2.20920000000000e+00 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1839 1082 1074 1073 - 1840 1081 1082 1073 - 1841 1082 1080 1074 - 1842 1083 1076 1075 - 1843 1084 1077 1076 - 1844 1083 1084 1076 - 1845 1078 1079 1077 - 1846 1079 1078 1086 - 1847 1085 1086 1078 - 1848 1079 1086 1087 - 1849 1081 1079 1087 - 1850 1088 1080 1082 - 1851 1089 1082 1081 - 1852 1089 1081 1087 - 1853 1082 1089 1088 - 1854 1083 1090 1084 - 1855 1084 1090 1085 - 1856 1091 1086 1085 - 1857 1090 1091 1085 - 1858 1087 1086 1091 - 1859 1092 1089 1087 - 1860 1087 1091 1092 - 1861 1089 1093 1088 - 1862 1089 1092 1093 - 1863 1090 1095 1091 - 1864 1095 1092 1091 - 1865 1096 1092 1095 - 1866 1093 1092 1094 - 1867 1092 1096 1094 - 1868 1094 1097 1093 - 1869 1098 1097 1094 - 1870 1099 1094 1096 - 1871 1096 1095 1100 - 1872 1099 1096 1100 - 1873 1097 1098 1102 - 1874 1102 1098 1103 - 1875 1100 1104 1099 - 1876 1100 1101 1104 - 1877 1105 1104 1101 - 1878 1102 1103 1106 - 1879 1106 1103 1107 - 1880 1104 1105 1108 - 1881 1108 1105 1109 - 1882 1106 1107 1110 - 1883 1110 1107 1111 - 1884 1108 1109 1112 - 1885 1112 1109 1113 - 1886 1114 1110 1111 - 1887 1114 1111 1115 - 1888 1113 1116 1112 - 1889 1117 1116 1113 - 1890 1115 1118 1114 - 1891 1118 1115 1119 - 1892 1117 1119 1116 - 1893 1119 1117 1120 - 1894 1118 1119 1121 - 1895 1120 1121 1119 - 1896 1121 1120 1122 -]; - -const TRIS_deer = vec(reshape(_TRIS_deer[:, 2:4], 1896 * 3, 1)); -const xe_deer = vec(reshape(_xe_deer[:, 2:3], 2 * 1122, 1)); +# Flattened data extracted from triangle_deer.jl +# First column removed; already flat vectors +const TRIS_deer = [ + 1, + 1, + 3, + 4, + 7, + 5, + 5, + 11, + 7, + 12, + 9, + 9, + 11, + 16, + 13, + 20, + 19, + 14, + 15, + 15, + 24, + 18, + 23, + 20, + 26, + 26, + 27, + 29, + 24, + 29, + 32, + 28, + 32, + 27, + 33, + 32, + 31, + 31, + 37, + 37, + 38, + 41, + 34, + 41, + 34, + 45, + 38, + 38, + 48, + 48, + 39, + 39, + 50, + 49, + 42, + 42, + 51, + 44, + 54, + 45, + 58, + 60, + 59, + 59, + 62, + 50, + 62, + 52, + 64, + 65, + 54, + 55, + 71, + 55, + 56, + 73, + 57, + 73, + 77, + 77, + 60, 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15.7548, + 18.875, + 19.0, + 19.5875, + 19.2, + 14.0, + 14.284, + 14.6082, + 14.7429, + 15.0, + 15.2315, + 15.05, + 15.5764, + 15.8545, + 15.8185, + 16.0, + 18.75, + 18.85, + 19.45, + 19.025, + 14.5, + 14.7596, + 14.9788, + 15.2, + 15.45, + 15.8211, + 16.1558, + 16.5, + 16.2304, + 17.0, + 18.5, + 18.7, + 19.2125, + 18.85, + 15.0, + 15.475, + 15.1865, + 15.5, + 15.3543, + 15.7845, + 16.1055, + 16.3839, + 16.5392, + 16.7449, + 17.5, + 17.2, + 18.25, + 18.6, + 18.0, + 17.75, + 18.975, + 18.5, + 15.5001, + 15.4265, + 15.7668, + 15.6, + 15.7048, + 16.3988, + 16.0888, + 16.7202, + 17.0923, + 17.0, + 17.3, + 17.5, + 18.2761, + 17.9073, + 18.5, + 15.75, + 15.8457, + 16.0478, + 15.9598, + 16.6648, + 16.4295, + 16.9621, + 17.3134, + 17.466, + 17.7421, + 18.1757, + 18.525, + 16.0, + 16.2241, + 16.3367, + 16.8135, + 16.6564, + 17.1682, + 18.5375, + 17.4815, + 17.7104, + 18.1035, + 16.5, + 16.7025, + 17.0, + 17.3, + 17.439, + 18.55, + 17.7764, + 18.1216, + 17.0, + 17.2, + 17.5, + 17.555, + 17.7916, + 18.475, + 18.1142, + 17.5, + 17.7446, + 18.1206, + 18.4, + 18.5, + 18.0, + 18.2941, + 18.8, + 18.85, + 18.6, + 18.25, + 18.5, + 19.2, + 19.2, + 18.7, + 18.75, + 19.5, + 19.4, + 19.0, + 19.0, + 19.8, + 19.6, + 19.6, + 19.4, + 20.025, + 19.9, + 19.9, + 19.8, + 20.25, + 20.2, + 20.2, + 20.425, + 20.6, +] const Const_deer = [ 1, 2, diff --git a/data/triangle_pacman.jl b/data/triangle_pacman.jl index 9c9b03a2..6de8e809 100644 --- a/data/triangle_pacman.jl +++ b/data/triangle_pacman.jl @@ -1,1877 +1,4922 @@ -const _xe_pacman = [ - 1 0.00000000000000e+00 1.00000000000000e+00 - 2 8.97600000000000e-01 2.18200000000000e-01 - 3 1.34640000000000e+00 2.51000000000000e-02 - 4 1.86053000000000e-01 1.46410000000000e+00 - 5 6.64826000000000e-01 1.56273000000000e+00 - 6 4.48800000000000e-01 5.66100000000000e-01 - 7 0.00000000000000e+00 1.00000000000000e+00 - 8 1.07646000000000e+00 6.80962000000000e-01 - 9 1.79520000000000e+00 2.51000000000000e-02 - 10 4.48800000000000e-01 2.11950000000000e+00 - 11 1.07312000000000e+00 1.83153000000000e+00 - 12 1.57080000000000e+00 7.23069000000000e-01 - 13 9.38058000000000e-01 1.15739000000000e+00 - 14 2.24400000000000e+00 2.18200000000000e-01 - 15 8.52720000000000e+00 2.18200000000000e-01 - 16 8.07840000000000e+00 2.51000000000000e-02 - 17 7.62960000000000e+00 2.51000000000000e-02 - 18 7.18080000000000e+00 2.18200000000000e-01 - 19 8.35144000000000e+00 6.83636000000000e-01 - 20 6.73200000000000e-01 2.65595000000000e+00 - 21 1.34784000000000e+00 2.25151000000000e+00 - 22 1.98017000000000e+00 1.04907000000000e+00 - 23 1.64660000000000e+00 1.45230000000000e+00 - 24 2.69280000000000e+00 5.66100000000000e-01 - 25 8.97600000000000e+00 5.66100000000000e-01 - 26 6.73200000000000e+00 5.66100000000000e-01 - 27 7.28893000000000e+00 7.79626000000000e-01 - 28 7.85400000000000e+00 6.92514000000000e-01 - 29 8.47541000000000e+00 1.16546000000000e+00 - 30 1.22828000000000e+00 2.73892000000000e+00 - 31 8.97600000000000e-01 3.19240000000000e+00 - 32 1.75495000000000e+00 2.54498000000000e+00 - 33 2.46156000000000e+00 1.25434000000000e+00 - 34 2.14258000000000e+00 1.71766000000000e+00 - 35 3.14160000000000e+00 1.00000000000000e+00 - 36 1.12200000000000e+00 3.70555000000000e+00 - 37 8.66057000000000e+00 1.58463000000000e+00 - 38 9.42480000000000e+00 1.00000000000000e+00 - 39 6.28320000000000e+00 1.00000000000000e+00 - 40 6.94809000000000e+00 1.23867000000000e+00 - 41 8.25211000000000e+00 1.79236000000000e+00 - 42 7.72596000000000e+00 1.38490000000000e+00 - 43 8.32786000000000e+00 2.45351000000000e+00 - 44 1.78515000000000e+00 3.43907000000000e+00 - 45 2.19335000000000e+00 3.10382000000000e+00 - 46 2.33113000000000e+00 2.59387000000000e+00 - 47 3.04232000000000e+00 1.55175000000000e+00 - 48 2.65266000000000e+00 1.95479000000000e+00 - 49 3.59040000000000e+00 1.43390000000000e+00 - 50 4.03920000000000e+00 1.78180000000000e+00 - 51 1.34640000000000e+00 4.21870000000000e+00 - 52 1.89558000000000e+00 4.01449000000000e+00 - 53 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659 670 660 - 1153 660 670 671 - 1154 662 673 661 - 1155 673 664 661 - 1156 662 672 673 - 1157 674 668 663 - 1158 666 674 663 - 1159 675 665 664 - 1160 673 675 664 - 1161 675 666 665 - 1162 674 666 675 - 1163 676 669 667 - 1164 677 667 668 - 1165 667 677 676 - 1166 677 668 674 - 1167 678 670 669 - 1168 669 676 678 - 1169 678 671 670 - 1170 671 678 679 - 1171 680 673 672 - 1172 675 673 680 - 1173 674 681 677 - 1174 674 675 681 - 1175 675 680 681 - 1176 676 677 682 - 1177 676 682 678 - 1178 682 677 681 - 1179 679 678 682 - 1180 679 682 683 - 1181 683 681 680 - 1182 683 682 681 -]; - -const xe_pacman = vec(reshape(_xe_pacman[:, 2:3], 2 * 683, 1)) -const TRIS_pacman = vec(reshape(_TRIS_pacman[:, 2:4], 1182 * 3, 1)) +# Flattened data extracted from triangle_pacman.jl +# First column removed; already flat vectors +const TRIS_pacman = [ + 2, + 3, + 12, + 12, + 10, + 7, + 4, + 13, + 10, + 13, + 6, + 12, + 14, + 11, + 13, + 21, + 23, + 13, + 12, + 14, + 24, + 19, + 25, + 28, + 16, + 18, + 28, + 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10.4218, + 10.0732, + 10.5913, + 10.9823, + 9.02888, + 9.56163, + 9.04704, + 9.0, + 9.866, + 12.2436, + 11.5322, + 11.4393, + 12.953, + 14.3253, + 14.7139, + 14.0224, + 13.5002, + 14.5272, + 10.7484, + 10.0103, + 10.386, + 10.7906, + 9.53053, + 10.2014, + 9.77016, + 10.3685, + 10.0167, + 9.6428, + 9.9848, + 11.3346, + 12.5583, + 12.021, + 13.1709, + 13.941, + 14.0176, + 14.294, + 11.0516, + 10.5326, + 11.3548, + 10.925, + 10.6597, + 10.2708, + 10.746, + 10.4441, + 11.9245, + 11.4194, + 12.5608, + 13.2573, + 13.6766, + 14.014, + 11.0243, + 11.6348, + 11.3184, + 11.1299, + 10.824, + 11.2471, + 12.4671, + 11.7863, + 13.0842, + 13.5003, + 13.6874, + 11.9147, + 11.585, + 11.7844, + 11.667, + 12.6616, + 12.3269, + 13.0614, + 13.3142, + 12.4278, + 12.2146, + 12.6984, + 12.8943, +] const Const_pacman = [ 1, 2, diff --git a/data/triangle_turtle.jl b/data/triangle_turtle.jl index a0f3bae0..a3dcae6e 100644 --- a/data/triangle_turtle.jl +++ b/data/triangle_turtle.jl @@ -1,6258 +1,16529 @@ -const _xe_turtle = [ - 1 1.50000000000000e-01 4.12500000000000e+00 - 2 2.00000000000000e-01 4.00000000000000e+00 - 3 0.00000000000000e+00 4.50000000000000e+00 - 4 1.00000000000000e-01 4.25000000000000e+00 - 5 3.62500000000000e-01 3.93750000000000e+00 - 6 5.25000000000000e-01 3.87500000000000e+00 - 7 3.79796000000000e-01 4.21692000000000e+00 - 8 0.00000000000000e+00 4.62500000000000e+00 - 9 1.91292000000000e-01 4.43152000000000e+00 - 10 0.00000000000000e+00 4.75000000000000e+00 - 11 3.54615000000000e-01 4.38489000000000e+00 - 12 5.26933000000000e-01 4.07761000000000e+00 - 13 1.17500000000000e+00 3.62500000000000e+00 - 14 6.60396000000000e-01 3.97726000000000e+00 - 15 8.50000000000000e-01 3.75000000000000e+00 - 16 6.87500000000000e-01 3.81250000000000e+00 - 17 5.17388000000000e-01 4.29461000000000e+00 - 18 2.90952000000000e-01 4.60858000000000e+00 - 19 0.00000000000000e+00 5.00000000000000e+00 - 20 1.28928000000000e-01 4.87500000000000e+00 - 21 5.10444000000000e-01 4.45246000000000e+00 - 22 1.50000000000000e+00 3.50000000000000e+00 - 23 1.33750000000000e+00 3.56250000000000e+00 - 24 6.61269000000000e-01 4.22930000000000e+00 - 25 1.20335000000000e+00 3.80623000000000e+00 - 26 1.01250000000000e+00 3.68750000000000e+00 - 27 8.22797000000000e-01 4.01610000000000e+00 - 28 9.40528000000000e-01 3.89369000000000e+00 - 29 7.38612000000000e-01 4.44412000000000e+00 - 30 3.87810000000000e-01 4.76019000000000e+00 - 31 3.03056000000000e-01 4.91889000000000e+00 - 32 1.00000000000000e-01 5.11250000000000e+00 - 33 5.67434000000000e-01 4.75000000000000e+00 - 34 6.78923000000000e-01 4.61155000000000e+00 - 35 1.65000000000000e+00 3.48125000000000e+00 - 36 1.50745000000000e+00 3.68484000000000e+00 - 37 1.39670000000000e+00 3.83301000000000e+00 - 38 8.51934000000000e-01 4.28199000000000e+00 - 39 1.27986000000000e+00 3.97295000000000e+00 - 40 1.09828000000000e+00 3.95660000000000e+00 - 41 1.00569000000000e+00 4.14245000000000e+00 - 42 9.09801000000000e-01 4.46158000000000e+00 - 43 8.71973000000000e-01 4.62944000000000e+00 - 44 4.83512000000000e-01 4.94468000000000e+00 - 45 3.53715000000000e-01 5.10635000000000e+00 - 46 2.00000000000000e-01 5.22500000000000e+00 - 47 6.65697000000000e-01 4.93850000000000e+00 - 48 7.52768000000000e-01 4.77325000000000e+00 - 49 4.00000000000000e-01 5.45000000000000e+00 - 50 1.80000000000000e+00 3.46250000000000e+00 - 51 1.79628000000000e+00 3.62598000000000e+00 - 52 1.68281000000000e+00 3.74373000000000e+00 - 53 1.56361000000000e+00 3.86481000000000e+00 - 54 1.36981000000000e+00 4.13152000000000e+00 - 55 1.03860000000000e+00 4.34746000000000e+00 - 56 1.19019000000000e+00 4.21799000000000e+00 - 57 1.14067000000000e+00 4.53851000000000e+00 - 58 1.00926000000000e+00 4.74333000000000e+00 - 59 5.47689000000000e-01 5.11530000000000e+00 - 60 5.02329000000000e-01 5.29522000000000e+00 - 61 7.58844000000000e-01 5.09404000000000e+00 - 62 8.77467000000000e-01 4.95693000000000e+00 - 63 6.13736000000000e-01 5.44360000000000e+00 - 64 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1.88460000000000e+00 4.31913000000000e+00 - 107 1.73855000000000e+00 4.37129000000000e+00 - 108 1.73186000000000e+00 4.52623000000000e+00 - 109 2.70000000000000e+00 3.35000000000000e+00 - 110 2.57976000000000e+00 3.60680000000000e+00 - 111 1.15000000000000e+00 6.20000000000000e+00 - 112 5.12837000000000e+00 6.56340000000000e-01 - 113 5.02621000000000e+00 7.81179000000000e-01 - 114 4.87500000000000e+00 7.25000000000000e-01 - 115 5.75000000000000e+00 4.25000000000000e-01 - 116 6.00000000000000e+00 4.50000000000000e-01 - 117 5.47848000000000e+00 5.63768000000000e-01 - 118 5.32955000000000e+00 6.35195000000000e-01 - 119 5.63597000000000e+00 6.13580000000000e-01 - 120 1.24846000000000e+00 5.73097000000000e+00 - 121 1.19923000000000e+00 5.96548000000000e+00 - 122 2.60759000000000e+00 3.79314000000000e+00 - 123 1.65091000000000e+00 4.77048000000000e+00 - 124 1.56455000000000e+00 4.98718000000000e+00 - 125 1.29880000000000e+00 5.56432000000000e+00 - 126 1.43395000000000e+00 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1.07405000000000e+01 8.82319000000000e+00 - 1924 1.04806000000000e+01 9.49274000000000e+00 - 1925 1.03195000000000e+01 1.00446000000000e+01 - 1926 1.03750000000000e+01 1.02938000000000e+01 - 1927 1.05000000000000e+01 1.03000000000000e+01 - 1928 1.03776000000000e+01 9.71425000000000e+00 - 1929 1.02897000000000e+01 9.86253000000000e+00 - 1930 1.08231000000000e+01 8.57160000000000e+00 - 1931 1.09486000000000e+01 8.36795000000000e+00 - 1932 1.11614000000000e+01 8.38294000000000e+00 - 1933 1.16727000000000e+01 7.89371000000000e+00 - 1934 1.15094000000000e+01 8.06479000000000e+00 - 1935 1.13536000000000e+01 8.28260000000000e+00 - 1936 1.19928000000000e+01 7.78741000000000e+00 - 1937 1.18652000000000e+01 7.90823000000000e+00 - 1938 1.23455000000000e+01 7.69074000000000e+00 - 1939 1.21670000000000e+01 7.76440000000000e+00 - 1940 1.28750000000000e+01 7.60000000000000e+00 - 1941 1.25826000000000e+01 7.67856000000000e+00 - 1942 1.09012000000000e+01 8.73657000000000e+00 - 1943 1.06158000000000e+01 9.05675000000000e+00 - 1944 1.06171000000000e+01 9.24058000000000e+00 - 1945 1.07778000000000e+01 8.99320000000000e+00 - 1946 1.06546000000000e+01 9.52823000000000e+00 - 1947 1.05486000000000e+01 9.69315000000000e+00 - 1948 1.07250000000000e+01 1.01750000000000e+01 - 1949 1.05040000000000e+01 1.00421000000000e+01 - 1950 1.05471000000000e+01 9.87031000000000e+00 - 1951 1.10482000000000e+01 8.56988000000000e+00 - 1952 1.10747000000000e+01 8.79347000000000e+00 - 1953 1.13001000000000e+01 8.54498000000000e+00 - 1954 1.19451000000000e+01 8.10482000000000e+00 - 1955 1.17882000000000e+01 8.10011000000000e+00 - 1956 1.16386000000000e+01 8.16276000000000e+00 - 1957 1.14683000000000e+01 8.41685000000000e+00 - 1958 1.16183000000000e+01 8.32364000000000e+00 - 1959 1.24315000000000e+01 7.86365000000000e+00 - 1960 1.20434000000000e+01 7.98242000000000e+00 - 1961 1.22624000000000e+01 7.91220000000000e+00 - 1962 1.20359000000000e+01 8.23289000000000e+00 - 1963 1.30000000000000e+01 7.80000000000000e+00 - 1964 1.28360000000000e+01 7.76342000000000e+00 - 1965 1.25679000000000e+01 7.95821000000000e+00 - 1966 1.27136000000000e+01 7.87847000000000e+00 - 1967 1.09313000000000e+01 9.07520000000000e+00 - 1968 1.07563000000000e+01 9.36064000000000e+00 - 1969 1.07877000000000e+01 9.18351000000000e+00 - 1970 1.08375000000000e+01 1.01125000000000e+01 - 1971 1.08381000000000e+01 9.51559000000000e+00 - 1972 1.07784000000000e+01 9.68029000000000e+00 - 1973 1.07212000000000e+01 9.90318000000000e+00 - 1974 1.11394000000000e+01 9.00374000000000e+00 - 1975 1.12609000000000e+01 8.73594000000000e+00 - 1976 1.15005000000000e+01 8.59044000000000e+00 - 1977 1.13113000000000e+01 9.01094000000000e+00 - 1978 1.31000000000000e+01 7.88750000000000e+00 - 1979 1.32000000000000e+01 7.97500000000000e+00 - 1980 1.18523000000000e+01 8.39446000000000e+00 - 1981 1.17060000000000e+01 8.59040000000000e+00 - 1982 1.24179000000000e+01 8.02369000000000e+00 - 1983 1.22707000000000e+01 8.08793000000000e+00 - 1984 1.25445000000000e+01 8.12258000000000e+00 - 1985 1.20120000000000e+01 8.39081000000000e+00 - 1986 1.22040000000000e+01 8.28467000000000e+00 - 1987 1.29294000000000e+01 8.08248000000000e+00 - 1988 1.27398000000000e+01 8.13018000000000e+00 - 1989 1.10796000000000e+01 9.20136000000000e+00 - 1990 1.09833000000000e+01 9.37051000000000e+00 - 1991 1.09500000000000e+01 1.00500000000000e+01 - 1992 1.09930000000000e+01 9.59745000000000e+00 - 1993 1.09565000000000e+01 9.82230000000000e+00 - 1994 1.12729000000000e+01 9.17863000000000e+00 - 1995 1.14053000000000e+01 8.86689000000000e+00 - 1996 1.15959000000000e+01 8.77244000000000e+00 - 1997 1.14458000000000e+01 9.18501000000000e+00 - 1998 1.30886000000000e+01 8.08886000000000e+00 - 1999 1.33000000000000e+01 8.06250000000000e+00 - 2000 1.19186000000000e+01 8.59657000000000e+00 - 2001 1.18061000000000e+01 8.80505000000000e+00 - 2002 1.20932000000000e+01 8.52836000000000e+00 - 2003 1.23794000000000e+01 8.27128000000000e+00 - 2004 1.26048000000000e+01 8.27920000000000e+00 - 2005 1.22635000000000e+01 8.45019000000000e+00 - 2006 1.29606000000000e+01 8.29617000000000e+00 - 2007 1.26816000000000e+01 8.45929000000000e+00 - 2008 1.27665000000000e+01 8.32384000000000e+00 - 2009 1.12014000000000e+01 9.43379000000000e+00 - 2010 1.11750000000000e+01 9.92500000000000e+00 - 2011 1.11965000000000e+01 9.69873000000000e+00 - 2012 1.13981000000000e+01 9.35129000000000e+00 - 2013 1.16125000000000e+01 9.13889000000000e+00 - 2014 1.16757000000000e+01 8.95243000000000e+00 - 2015 1.15703000000000e+01 9.31069000000000e+00 - 2016 1.31474000000000e+01 8.23692000000000e+00 - 2017 1.34000000000000e+01 8.15000000000000e+00 - 2018 1.19257000000000e+01 9.00952000000000e+00 - 2019 1.20947000000000e+01 8.71579000000000e+00 - 2020 1.20822000000000e+01 8.90402000000000e+00 - 2021 1.22562000000000e+01 8.63195000000000e+00 - 2022 1.25251000000000e+01 8.42690000000000e+00 - 2023 1.30207000000000e+01 8.48272000000000e+00 - 2024 1.27058000000000e+01 8.61732000000000e+00 - 2025 1.28979000000000e+01 8.63115000000000e+00 - 2026 1.13776000000000e+01 9.58998000000000e+00 - 2027 1.14000000000000e+01 9.80000000000000e+00 - 2028 1.15622000000000e+01 9.48744000000000e+00 - 2029 1.17266000000000e+01 9.42387000000000e+00 - 2030 1.18069000000000e+01 9.16571000000000e+00 - 2031 1.32010000000000e+01 8.50626000000000e+00 - 2032 1.33417000000000e+01 8.39119000000000e+00 - 2033 1.36000000000000e+01 8.32500000000000e+00 - 2034 1.20894000000000e+01 9.10789000000000e+00 - 2035 1.22457000000000e+01 8.99810000000000e+00 - 2036 1.22487000000000e+01 8.81496000000000e+00 - 2037 1.24103000000000e+01 8.72859000000000e+00 - 2038 1.25899000000000e+01 8.75749000000000e+00 - 2039 1.30955000000000e+01 8.67430000000000e+00 - 2040 1.27688000000000e+01 8.78737000000000e+00 - 2041 1.29476000000000e+01 8.81724000000000e+00 - 2042 1.15418000000000e+01 9.66824000000000e+00 - 2043 1.15500000000000e+01 9.85000000000000e+00 - 2044 1.17429000000000e+01 9.59937000000000e+00 - 2045 1.18847000000000e+01 9.34589000000000e+00 - 2046 1.20785000000000e+01 9.29854000000000e+00 - 2047 1.17000000000000e+01 9.90000000000000e+00 - 2048 1.33254000000000e+01 8.63879000000000e+00 - 2049 1.35672000000000e+01 8.56425000000000e+00 - 2050 1.38875000000000e+01 8.60000000000000e+00 - 2051 1.38000000000000e+01 8.50000000000000e+00 - 2052 1.22653000000000e+01 9.22863000000000e+00 - 2053 1.24551000000000e+01 8.99351000000000e+00 - 2054 1.26540000000000e+01 8.92772000000000e+00 - 2055 1.31650000000000e+01 8.86788000000000e+00 - 2056 1.29138000000000e+01 9.02203000000000e+00 - 2057 1.17968000000000e+01 9.76044000000000e+00 - 2058 1.19424000000000e+01 9.67295000000000e+00 - 2059 1.20230000000000e+01 9.49013000000000e+00 - 2060 1.22197000000000e+01 9.45545000000000e+00 - 2061 1.20000000000000e+01 1.00000000000000e+01 - 2062 1.34758000000000e+01 8.79671000000000e+00 - 2063 1.39750000000000e+01 8.70000000000000e+00 - 2064 1.38485000000000e+01 8.79473000000000e+00 - 2065 1.36922000000000e+01 8.77084000000000e+00 - 2066 1.23951000000000e+01 9.33122000000000e+00 - 2067 1.24948000000000e+01 9.19919000000000e+00 - 2068 1.26563000000000e+01 9.11150000000000e+00 - 2069 1.33579000000000e+01 8.98017000000000e+00 - 2070 1.28148000000000e+01 9.20448000000000e+00 - 2071 1.31117000000000e+01 9.08464000000000e+00 - 2072 1.29765000000000e+01 9.17738000000000e+00 - 2073 1.24365000000000e+01 9.49140000000000e+00 - 2074 1.20960000000000e+01 9.82878000000000e+00 - 2075 1.22325000000000e+01 9.68776000000000e+00 - 2076 1.21250000000000e+01 1.01000000000000e+01 - 2077 1.41500000000000e+01 8.90000000000000e+00 - 2078 1.36156000000000e+01 9.05208000000000e+00 - 2079 1.34597000000000e+01 9.11302000000000e+00 - 2080 1.38964000000000e+01 8.94535000000000e+00 - 2081 1.37762000000000e+01 9.05188000000000e+00 - 2082 1.40818000000000e+01 9.13620000000000e+00 - 2083 1.26508000000000e+01 9.44324000000000e+00 - 2084 1.26006000000000e+01 9.60652000000000e+00 - 2085 1.32899000000000e+01 9.23888000000000e+00 - 2086 1.28136000000000e+01 9.37937000000000e+00 - 2087 1.30666000000000e+01 9.31432000000000e+00 - 2088 1.24642000000000e+01 9.70934000000000e+00 - 2089 1.22712000000000e+01 9.91719000000000e+00 - 2090 1.22500000000000e+01 1.02000000000000e+01 - 2091 1.43250000000000e+01 9.10000000000000e+00 - 2092 1.42185000000000e+01 9.21957000000000e+00 - 2093 1.33885000000000e+01 9.45296000000000e+00 - 2094 1.34860000000000e+01 9.27831000000000e+00 - 2095 1.36713000000000e+01 9.21648000000000e+00 - 2096 1.40333000000000e+01 9.31539000000000e+00 - 2097 1.38438000000000e+01 9.19757000000000e+00 - 2098 1.34193000000000e+01 9.60228000000000e+00 - 2099 1.27405000000000e+01 9.70460000000000e+00 - 2100 1.27761000000000e+01 9.54632000000000e+00 - 2101 1.26040000000000e+01 9.80452000000000e+00 - 2102 1.31664000000000e+01 9.52603000000000e+00 - 2103 1.29334000000000e+01 9.50680000000000e+00 - 2104 1.24232000000000e+01 1.00399000000000e+01 - 2105 1.26069000000000e+01 9.97364000000000e+00 - 2106 1.23750000000000e+01 1.03000000000000e+01 - 2107 1.44125000000000e+01 9.20000000000000e+00 - 2108 1.42076000000000e+01 9.37930000000000e+00 - 2109 1.40772000000000e+01 9.47738000000000e+00 - 2110 1.39152000000000e+01 9.45861000000000e+00 - 2111 1.35381000000000e+01 9.49365000000000e+00 - 2112 1.35652000000000e+01 9.64630000000000e+00 - 2113 1.36525000000000e+01 9.38904000000000e+00 - 2114 1.38037000000000e+01 9.34880000000000e+00 - 2115 1.34570000000000e+01 9.75372000000000e+00 - 2116 1.33111000000000e+01 9.70970000000000e+00 - 2117 1.28868000000000e+01 9.79403000000000e+00 - 2118 1.31915000000000e+01 9.80461000000000e+00 - 2119 1.30511000000000e+01 9.74494000000000e+00 - 2120 1.29071000000000e+01 9.96429000000000e+00 - 2121 1.27600000000000e+01 1.00629000000000e+01 - 2122 1.25523000000000e+01 1.01865000000000e+01 - 2123 1.25000000000000e+01 1.04000000000000e+01 - 2124 1.26250000000000e+01 1.05500000000000e+01 - 2125 1.43993000000000e+01 9.50739000000000e+00 - 2126 1.45000000000000e+01 9.30000000000000e+00 - 2127 1.41872000000000e+01 9.59786000000000e+00 - 2128 1.37261000000000e+01 9.82288000000000e+00 - 2129 1.39747000000000e+01 9.65277000000000e+00 - 2130 1.37748000000000e+01 9.61696000000000e+00 - 2131 1.35000000000000e+01 9.90000000000000e+00 - 2132 1.33416000000000e+01 9.86834000000000e+00 - 2133 1.32062000000000e+01 9.95652000000000e+00 - 2134 1.30552000000000e+01 9.90456000000000e+00 - 2135 1.29234000000000e+01 1.01469000000000e+01 - 2136 1.27655000000000e+01 1.02400000000000e+01 - 2137 1.27545000000000e+01 1.04218000000000e+01 - 2138 1.27500000000000e+01 1.07000000000000e+01 - 2139 1.43510000000000e+01 9.68792000000000e+00 - 2140 1.46875000000000e+01 9.75000000000000e+00 - 2141 1.46250000000000e+01 9.60000000000000e+00 - 2142 1.38000000000000e+01 1.00500000000000e+01 - 2143 1.41107000000000e+01 9.80359000000000e+00 - 2144 1.39197000000000e+01 9.83912000000000e+00 - 2145 1.34500000000000e+01 1.01000000000000e+01 - 2146 1.32664000000000e+01 1.01604000000000e+01 - 2147 1.30865000000000e+01 1.02307000000000e+01 - 2148 1.29325000000000e+01 1.04607000000000e+01 - 2149 1.29368000000000e+01 1.06532000000000e+01 - 2150 1.28750000000000e+01 1.08500000000000e+01 - 2151 1.47500000000000e+01 9.90000000000000e+00 - 2152 1.42572000000000e+01 9.90672000000000e+00 - 2153 1.44295000000000e+01 9.85750000000000e+00 - 2154 1.45681000000000e+01 1.00422000000000e+01 - 2155 1.39500000000000e+01 1.01250000000000e+01 - 2156 1.41054000000000e+01 1.00018000000000e+01 - 2157 1.34000000000000e+01 1.03000000000000e+01 - 2158 1.32135000000000e+01 1.03999000000000e+01 - 2159 1.30663000000000e+01 1.07957000000000e+01 - 2160 1.31678000000000e+01 1.06064000000000e+01 - 2161 1.30000000000000e+01 1.10000000000000e+01 - 2162 1.48750000000000e+01 1.02000000000000e+01 - 2163 1.46846000000000e+01 1.01929000000000e+01 - 2164 1.43466000000000e+01 1.01075000000000e+01 - 2165 1.44181000000000e+01 1.02509000000000e+01 - 2166 1.41000000000000e+01 1.02000000000000e+01 - 2167 1.34500000000000e+01 1.05500000000000e+01 - 2168 1.31750000000000e+01 1.09424000000000e+01 - 2169 1.32811000000000e+01 1.07939000000000e+01 - 2170 1.31750000000000e+01 1.11250000000000e+01 - 2171 1.45556000000000e+01 1.03331000000000e+01 - 2172 1.49375000000000e+01 1.03500000000000e+01 - 2173 1.47640000000000e+01 1.03471000000000e+01 - 2174 1.38000000000000e+01 1.05000000000000e+01 - 2175 1.39500000000000e+01 1.03500000000000e+01 - 2176 1.43006000000000e+01 1.03598000000000e+01 - 2177 1.44371000000000e+01 1.04326000000000e+01 - 2178 1.41230000000000e+01 1.04373000000000e+01 - 2179 1.35000000000000e+01 1.08000000000000e+01 - 2180 1.36500000000000e+01 1.06500000000000e+01 - 2181 1.33526000000000e+01 1.10009000000000e+01 - 2182 1.35904000000000e+01 1.10751000000000e+01 - 2183 1.33500000000000e+01 1.12500000000000e+01 - 2184 1.50000000000000e+01 1.05000000000000e+01 - 2185 1.47394000000000e+01 1.05189000000000e+01 - 2186 1.39061000000000e+01 1.06316000000000e+01 - 2187 1.38361000000000e+01 1.07855000000000e+01 - 2188 1.40750000000000e+01 1.06250000000000e+01 - 2189 1.44533000000000e+01 1.05865000000000e+01 - 2190 1.42607000000000e+01 1.05725000000000e+01 - 2191 1.36725000000000e+01 1.08957000000000e+01 - 2192 1.39129000000000e+01 1.09193000000000e+01 - 2193 1.35250000000000e+01 1.13750000000000e+01 - 2194 1.37363000000000e+01 1.11362000000000e+01 - 2195 1.35077000000000e+01 1.12142000000000e+01 - 2196 1.49000000000000e+01 1.07250000000000e+01 - 2197 1.46194000000000e+01 1.06506000000000e+01 - 2198 1.37000000000000e+01 1.15000000000000e+01 - 2199 1.40654000000000e+01 1.08958000000000e+01 - 2200 1.41564000000000e+01 1.07634000000000e+01 - 2201 1.44402000000000e+01 1.07398000000000e+01 - 2202 1.43075000000000e+01 1.08177000000000e+01 - 2203 1.40373000000000e+01 1.10517000000000e+01 - 2204 1.38800000000000e+01 1.10700000000000e+01 - 2205 1.37900000000000e+01 1.12850000000000e+01 - 2206 1.48500000000000e+01 1.08375000000000e+01 - 2207 1.45704000000000e+01 1.08219000000000e+01 - 2208 1.39250000000000e+01 1.14750000000000e+01 - 2209 1.42533000000000e+01 1.10047000000000e+01 - 2210 1.44371000000000e+01 1.09403000000000e+01 - 2211 1.41458000000000e+01 1.11671000000000e+01 - 2212 1.39882000000000e+01 1.12872000000000e+01 - 2213 1.48000000000000e+01 1.09500000000000e+01 - 2214 1.46147000000000e+01 1.10060000000000e+01 - 2215 1.41500000000000e+01 1.14500000000000e+01 - 2216 1.44342000000000e+01 1.11187000000000e+01 - 2217 1.42480000000000e+01 1.13070000000000e+01 - 2218 1.47000000000000e+01 1.11750000000000e+01 - 2219 1.46500000000000e+01 1.12875000000000e+01 - 2220 1.43750000000000e+01 1.14250000000000e+01 - 2221 1.44733000000000e+01 1.12851000000000e+01 - 2222 1.46000000000000e+01 1.14000000000000e+01 -]; - -const _TRIS_turtle = [ - 1 2 7 1 - 2 7 4 1 - 3 5 7 2 - 4 9 3 4 - 5 9 8 3 - 6 4 7 11 - 7 4 11 9 - 8 7 5 12 - 9 5 6 12 - 10 16 14 6 - 11 6 14 12 - 12 17 11 7 - 13 12 17 7 - 14 18 10 8 - 15 8 9 18 - 16 9 11 18 - 17 20 19 10 - 18 18 20 10 - 19 17 21 11 - 20 18 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4009 2213 2214 2207 - 4010 2212 2215 2208 - 4011 2209 2216 2211 - 4012 2216 2209 2210 - 4013 2214 2216 2210 - 4014 2212 2211 2217 - 4015 2216 2217 2211 - 4016 2212 2217 2215 - 4017 2214 2213 2218 - 4018 2214 2218 2216 - 4019 2215 2217 2220 - 4020 2221 2217 2216 - 4021 2221 2216 2218 - 4022 2217 2221 2220 - 4023 2218 2219 2221 - 4024 2221 2219 2222 - 4025 2221 2222 2220 -]; +# Flattened data extracted from triangle_turtle.jl +# First column removed; already flat vectors -const TRIS_turtle = vec(reshape(_TRIS_turtle[:, 2:4], 4025 * 3, 1)); -const xe_turtle = vec(reshape(_xe_turtle[:, 2:3], 2222 * 2, 1)); +const TRIS_turtle = [ + 2, + 7, + 5, + 9, + 9, + 4, + 4, + 7, + 5, + 16, + 6, + 17, + 12, + 18, + 8, + 9, + 20, + 18, + 17, + 18, + 12, + 12, + 25, + 25, + 14, + 24, + 16, + 26, + 28, + 21, + 29, + 30, + 21, + 20, + 30, + 32, + 21, + 30, + 21, + 23, + 35, + 25, + 23, + 29, + 38, + 25, + 25, + 26, + 28, + 28, + 27, + 41, + 29, + 43, + 38, + 44, + 44, + 31, + 45, + 32, + 33, + 48, + 34, + 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7.23075, + 7.3101, + 7.0, + 7.15445, + 7.18288, + 7.1626, + 8.46603, + 9.20871, + 8.69993, + 8.96093, + 10.275, + 9.87413, + 10.0533, + 9.34209, + 9.725, + 9.50054, + 7.89951, + 7.96705, + 8.24716, + 8.41442, + 8.15696, + 7.54195, + 7.63468, + 7.79548, + 7.97756, + 7.98594, + 7.36822, + 7.50413, + 7.2, + 7.35388, + 7.32874, + 8.67216, + 9.115, + 8.89744, + 9.24909, + 10.2875, + 9.55406, + 10.0625, + 9.88158, + 9.59237, + 8.63739, + 8.14512, + 8.36139, + 7.70541, + 7.90551, + 8.1108, + 8.1798, + 7.71821, + 7.52293, + 7.56081, + 7.4, + 7.50993, + 7.49657, + 8.8719, + 9.07604, + 9.31775, + 8.82319, + 9.49274, + 10.0446, + 10.2938, + 10.3, + 9.71425, + 9.86253, + 8.5716, + 8.36795, + 8.38294, + 7.89371, + 8.06479, + 8.2826, + 7.78741, + 7.90823, + 7.69074, + 7.7644, + 7.6, + 7.67856, + 8.73657, + 9.05675, + 9.24058, + 8.9932, + 9.52823, + 9.69315, + 10.175, + 10.0421, + 9.87031, + 8.56988, + 8.79347, + 8.54498, + 8.10482, + 8.10011, + 8.16276, + 8.41685, + 8.32364, + 7.86365, + 7.98242, + 7.9122, + 8.23289, + 7.8, + 7.76342, + 7.95821, + 7.87847, + 9.0752, + 9.36064, + 9.18351, + 10.1125, + 9.51559, + 9.68029, + 9.90318, + 9.00374, + 8.73594, + 8.59044, + 9.01094, + 7.8875, + 7.975, + 8.39446, + 8.5904, + 8.02369, + 8.08793, + 8.12258, + 8.39081, + 8.28467, + 8.08248, + 8.13018, + 9.20136, + 9.37051, + 10.05, + 9.59745, + 9.8223, + 9.17863, + 8.86689, + 8.77244, + 9.18501, + 8.08886, + 8.0625, + 8.59657, + 8.80505, + 8.52836, + 8.27128, + 8.2792, + 8.45019, + 8.29617, + 8.45929, + 8.32384, + 9.43379, + 9.925, + 9.69873, + 9.35129, + 9.13889, + 8.95243, + 9.31069, + 8.23692, + 8.15, + 9.00952, + 8.71579, + 8.90402, + 8.63195, + 8.4269, + 8.48272, + 8.61732, + 8.63115, + 9.58998, + 9.8, + 9.48744, + 9.42387, + 9.16571, + 8.50626, + 8.39119, + 8.325, + 9.10789, + 8.9981, + 8.81496, + 8.72859, + 8.75749, + 8.6743, + 8.78737, + 8.81724, + 9.66824, + 9.85, + 9.59937, + 9.34589, + 9.29854, + 9.9, + 8.63879, + 8.56425, + 8.6, + 8.5, + 9.22863, + 8.99351, + 8.92772, + 8.86788, + 9.02203, + 9.76044, + 9.67295, + 9.49013, + 9.45545, + 10.0, + 8.79671, + 8.7, + 8.79473, + 8.77084, + 9.33122, + 9.19919, + 9.1115, + 8.98017, + 9.20448, + 9.08464, + 9.17738, + 9.4914, + 9.82878, + 9.68776, + 10.1, + 8.9, + 9.05208, + 9.11302, + 8.94535, + 9.05188, + 9.1362, + 9.44324, + 9.60652, + 9.23888, + 9.37937, + 9.31432, + 9.70934, + 9.91719, + 10.2, + 9.1, + 9.21957, + 9.45296, + 9.27831, + 9.21648, + 9.31539, + 9.19757, + 9.60228, + 9.7046, + 9.54632, + 9.80452, + 9.52603, + 9.5068, + 10.0399, + 9.97364, + 10.3, + 9.2, + 9.3793, + 9.47738, + 9.45861, + 9.49365, + 9.6463, + 9.38904, + 9.3488, + 9.75372, + 9.7097, + 9.79403, + 9.80461, + 9.74494, + 9.96429, + 10.0629, + 10.1865, + 10.4, + 10.55, + 9.50739, + 9.3, + 9.59786, + 9.82288, + 9.65277, + 9.61696, + 9.9, + 9.86834, + 9.95652, + 9.90456, + 10.1469, + 10.24, + 10.4218, + 10.7, + 9.68792, + 9.75, + 9.6, + 10.05, + 9.80359, + 9.83912, + 10.1, + 10.1604, + 10.2307, + 10.4607, + 10.6532, + 10.85, + 9.9, + 9.90672, + 9.8575, + 10.0422, + 10.125, + 10.0018, + 10.3, + 10.3999, + 10.7957, + 10.6064, + 11.0, + 10.2, + 10.1929, + 10.1075, + 10.2509, + 10.2, + 10.55, + 10.9424, + 10.7939, + 11.125, + 10.3331, + 10.35, + 10.3471, + 10.5, + 10.35, + 10.3598, + 10.4326, + 10.4373, + 10.8, + 10.65, + 11.0009, + 11.0751, + 11.25, + 10.5, + 10.5189, + 10.6316, + 10.7855, + 10.625, + 10.5865, + 10.5725, + 10.8957, + 10.9193, + 11.375, + 11.1362, + 11.2142, + 10.725, + 10.6506, + 11.5, + 10.8958, + 10.7634, + 10.7398, + 10.8177, + 11.0517, + 11.07, + 11.285, + 10.8375, + 10.8219, + 11.475, + 11.0047, + 10.9403, + 11.1671, + 11.2872, + 10.95, + 11.006, + 11.45, + 11.1187, + 11.307, + 11.175, + 11.2875, + 11.425, + 11.2851, + 11.4, +] const Const_turtle = [ 1, 2, diff --git a/src/ADNLPProblems/tetra.jl b/src/ADNLPProblems/tetra.jl index b00dec60..ee37cdba 100644 --- a/src/ADNLPProblems/tetra.jl +++ b/src/ADNLPProblems/tetra.jl @@ -74,35 +74,53 @@ end export tetra_duct12 function tetra_duct12(; kwargs...) _ensure_data!(:tetra_duct12, "tetra_duct12.jl") - tetra(xe_duct12, TETS_duct12, Const_duct12; name = "tetra_duct12", kwargs...) + xe = Base.invokelatest(getfield, @__MODULE__, :xe_duct12) + TETS = Base.invokelatest(getfield, @__MODULE__, :TETS_duct12) + Const = Base.invokelatest(getfield, @__MODULE__, :Const_duct12) + tetra(xe, TETS, Const; name = "tetra_duct12", kwargs...) end export tetra_duct15 function tetra_duct15(; kwargs...) _ensure_data!(:tetra_duct15, "tetra_duct15.jl") - tetra(xe_duct15, TETS_duct15, Const_duct15; name = "tetra_duct15", kwargs...) + xe = Base.invokelatest(getfield, @__MODULE__, :xe_duct15) + TETS = Base.invokelatest(getfield, @__MODULE__, :TETS_duct15) + Const = Base.invokelatest(getfield, @__MODULE__, :Const_duct15) + tetra(xe, TETS, Const; name = "tetra_duct15", kwargs...) end export tetra_duct20 function tetra_duct20(; kwargs...) _ensure_data!(:tetra_duct20, "tetra_duct20.jl") - tetra(xe_duct20, TETS_duct20, Const_duct20; name = "tetra_duct20", kwargs...) + xe = Base.invokelatest(getfield, @__MODULE__, :xe_duct20) + TETS = Base.invokelatest(getfield, @__MODULE__, :TETS_duct20) + Const = Base.invokelatest(getfield, @__MODULE__, :Const_duct20) + tetra(xe, TETS, Const; name = "tetra_duct20", kwargs...) end export tetra_hook function tetra_hook(; kwargs...) _ensure_data!(:tetra_hook, "tetra_hook.jl") - tetra(xe_hook, TETS_hook, Const_hook; name = "tetra_hook", kwargs...) + xe = Base.invokelatest(getfield, @__MODULE__, :xe_hook) + TETS = Base.invokelatest(getfield, @__MODULE__, :TETS_hook) + Const = Base.invokelatest(getfield, @__MODULE__, :Const_hook) + tetra(xe, TETS, Const; name = "tetra_hook", kwargs...) end export tetra_foam5 function tetra_foam5(; kwargs...) _ensure_data!(:tetra_foam5, "tetra_foam5.jl") - tetra(xe_foam5, TETS_foam5, Const_foam5; name = "tetra_foam5", kwargs...) + xe = Base.invokelatest(getfield, @__MODULE__, :xe_foam5) + TETS = Base.invokelatest(getfield, @__MODULE__, :TETS_foam5) + Const = Base.invokelatest(getfield, @__MODULE__, :Const_foam5) + tetra(xe, TETS, Const; name = "tetra_foam5", kwargs...) end export tetra_gear function tetra_gear(; kwargs...) _ensure_data!(:tetra_gear, "tetra_gear.jl") - tetra(xe_gear, TETS_gear, Const_gear; name = "tetra_gear", kwargs...) + xe = Base.invokelatest(getfield, @__MODULE__, :xe_gear) + TETS = Base.invokelatest(getfield, @__MODULE__, :TETS_gear) + Const = Base.invokelatest(getfield, @__MODULE__, :Const_gear) + tetra(xe, TETS, Const; name = "tetra_gear", kwargs...) end diff --git a/src/ADNLPProblems/triangle.jl b/src/ADNLPProblems/triangle.jl index e4c6f12a..64e3514a 100644 --- a/src/ADNLPProblems/triangle.jl +++ b/src/ADNLPProblems/triangle.jl @@ -63,17 +63,26 @@ end export triangle_deer function triangle_deer(; kwargs...) _ensure_data!(:triangle_deer, "triangle_deer.jl") - triangle(xe_deer, TRIS_deer, Const_deer; name = "triangle_deer", kwargs...) + xe = Base.invokelatest(getfield, @__MODULE__, :xe_deer) + TRIS = Base.invokelatest(getfield, @__MODULE__, :TRIS_deer) + Const = Base.invokelatest(getfield, @__MODULE__, :Const_deer) + triangle(xe, TRIS, Const; name = "triangle_deer", kwargs...) end export triangle_pacman function triangle_pacman(; kwargs...) _ensure_data!(:triangle_pacman, "triangle_pacman.jl") - triangle(xe_pacman, TRIS_pacman, Const_pacman; name = "triangle_pacman", kwargs...) + xe = Base.invokelatest(getfield, @__MODULE__, :xe_pacman) + TRIS = Base.invokelatest(getfield, @__MODULE__, :TRIS_pacman) + Const = Base.invokelatest(getfield, @__MODULE__, :Const_pacman) + triangle(xe, TRIS, Const; name = "triangle_pacman", kwargs...) end export triangle_turtle function triangle_turtle(; kwargs...) _ensure_data!(:triangle_turtle, "triangle_turtle.jl") - triangle(xe_turtle, TRIS_turtle, Const_turtle; name = "triangle_turtle", kwargs...) + xe = Base.invokelatest(getfield, @__MODULE__, :xe_turtle) + TRIS = Base.invokelatest(getfield, @__MODULE__, :TRIS_turtle) + Const = Base.invokelatest(getfield, @__MODULE__, :Const_turtle) + triangle(xe, TRIS, Const; name = "triangle_turtle", kwargs...) end diff --git a/src/OptimizationProblems.jl b/src/OptimizationProblems.jl index ff66eec7..64c08872 100644 --- a/src/OptimizationProblems.jl +++ b/src/OptimizationProblems.jl @@ -16,7 +16,7 @@ for file in files end number_of_problems = length(files) -const names = [ +const cols_names = [ :nvar :variable_nvar :ncon @@ -82,9 +82,9 @@ The following keys are valid: - `defined_everywhere::Union{Bool, Missing}`: true if the objective is define for all values of the variables - `origin::Symbol`: origin of the problem, in [:academic, :modelling, :real, :unknown] """ -const meta = DataFrame(names .=> [Array{T}(undef, number_of_problems) for T in types]) +const meta = DataFrame(cols_names .=> [Array{T}(undef, number_of_problems) for T in types]) -for name in names, i = 1:number_of_problems +for name in cols_names, i = 1:number_of_problems meta[!, name][i] = eval(Meta.parse("$(split(files[i], ".")[1])_meta"))[name] end diff --git a/src/PureJuMP/tetra.jl b/src/PureJuMP/tetra.jl index 81f7cb7f..d0411ae2 100644 --- a/src/PureJuMP/tetra.jl +++ b/src/PureJuMP/tetra.jl @@ -83,35 +83,53 @@ end export tetra_duct12 function tetra_duct12(; kwargs...) _ensure_data!(:tetra_duct12, "tetra_duct12.jl") - tetra(xe_duct12, TETS_duct12, Const_duct12; name = "tetra_duct12", kwargs...) + xe = Base.invokelatest(getfield, @__MODULE__, :xe_duct12) + TETS = Base.invokelatest(getfield, @__MODULE__, :TETS_duct12) + Const = Base.invokelatest(getfield, @__MODULE__, :Const_duct12) + tetra(xe, TETS, Const; name = "tetra_duct12", kwargs...) end export tetra_duct15 function tetra_duct15(; kwargs...) _ensure_data!(:tetra_duct15, "tetra_duct15.jl") - tetra(xe_duct15, TETS_duct15, Const_duct15; name = "tetra_duct15", kwargs...) + xe = Base.invokelatest(getfield, @__MODULE__, :xe_duct15) + TETS = Base.invokelatest(getfield, @__MODULE__, :TETS_duct15) + Const = Base.invokelatest(getfield, @__MODULE__, :Const_duct15) + tetra(xe, TETS, Const; name = "tetra_duct15", kwargs...) end export tetra_duct20 function tetra_duct20(; kwargs...) _ensure_data!(:tetra_duct20, "tetra_duct20.jl") - tetra(xe_duct20, TETS_duct20, Const_duct20; name = "tetra_duct20", kwargs...) + xe = Base.invokelatest(getfield, @__MODULE__, :xe_duct20) + TETS = Base.invokelatest(getfield, @__MODULE__, :TETS_duct20) + Const = Base.invokelatest(getfield, @__MODULE__, :Const_duct20) + tetra(xe, TETS, Const; name = "tetra_duct20", kwargs...) end export tetra_hook function tetra_hook(; kwargs...) _ensure_data!(:tetra_hook, "tetra_hook.jl") - tetra(xe_hook, TETS_hook, Const_hook; name = "tetra_hook", kwargs...) + xe = Base.invokelatest(getfield, @__MODULE__, :xe_hook) + TETS = Base.invokelatest(getfield, @__MODULE__, :TETS_hook) + Const = Base.invokelatest(getfield, @__MODULE__, :Const_hook) + tetra(xe, TETS, Const; name = "tetra_hook", kwargs...) end export tetra_foam5 function tetra_foam5(; kwargs...) _ensure_data!(:tetra_foam5, "tetra_foam5.jl") - tetra(xe_foam5, TETS_foam5, Const_foam5; name = "tetra_foam5", kwargs...) + xe = Base.invokelatest(getfield, @__MODULE__, :xe_foam5) + TETS = Base.invokelatest(getfield, @__MODULE__, :TETS_foam5) + Const = Base.invokelatest(getfield, @__MODULE__, :Const_foam5) + tetra(xe, TETS, Const; name = "tetra_foam5", kwargs...) end export tetra_gear function tetra_gear(; kwargs...) _ensure_data!(:tetra_gear, "tetra_gear.jl") - tetra(xe_gear, TETS_gear, Const_gear; name = "tetra_gear", kwargs...) + xe = Base.invokelatest(getfield, @__MODULE__, :xe_gear) + TETS = Base.invokelatest(getfield, @__MODULE__, :TETS_gear) + Const = Base.invokelatest(getfield, @__MODULE__, :Const_gear) + tetra(xe, TETS, Const; name = "tetra_gear", kwargs...) end diff --git a/src/PureJuMP/triangle.jl b/src/PureJuMP/triangle.jl index 91456c49..ab781cd6 100644 --- a/src/PureJuMP/triangle.jl +++ b/src/PureJuMP/triangle.jl @@ -61,17 +61,26 @@ end export triangle_deer function triangle_deer(; kwargs...) _ensure_data!(:triangle_deer, "triangle_deer.jl") - triangle(xe_deer, TRIS_deer, Const_deer; name = "triangle_deer", kwargs...) + xe = Base.invokelatest(getfield, @__MODULE__, :xe_deer) + TRIS = Base.invokelatest(getfield, @__MODULE__, :TRIS_deer) + Const = Base.invokelatest(getfield, @__MODULE__, :Const_deer) + triangle(xe, TRIS, Const; name = "triangle_deer", kwargs...) end export triangle_pacman function triangle_pacman(; kwargs...) _ensure_data!(:triangle_pacman, "triangle_pacman.jl") - triangle(xe_pacman, TRIS_pacman, Const_pacman; name = "triangle_pacman", kwargs...) + xe = Base.invokelatest(getfield, @__MODULE__, :xe_pacman) + TRIS = Base.invokelatest(getfield, @__MODULE__, :TRIS_pacman) + Const = Base.invokelatest(getfield, @__MODULE__, :Const_pacman) + triangle(xe, TRIS, Const; name = "triangle_pacman", kwargs...) end export triangle_turtle function triangle_turtle(; kwargs...) _ensure_data!(:triangle_turtle, "triangle_turtle.jl") - triangle(xe_turtle, TRIS_turtle, Const_turtle; name = "triangle_turtle", kwargs...) + xe = Base.invokelatest(getfield, @__MODULE__, :xe_turtle) + TRIS = Base.invokelatest(getfield, @__MODULE__, :TRIS_turtle) + Const = Base.invokelatest(getfield, @__MODULE__, :Const_turtle) + triangle(xe, TRIS, Const; name = "triangle_turtle", kwargs...) end diff --git a/test/runtests.jl b/test/runtests.jl index dbd66171..ca8ae40c 100644 --- a/test/runtests.jl +++ b/test/runtests.jl @@ -1,32 +1,60 @@ -using NLPModels, NLPModelsJuMP, OptimizationProblems, Test +using Distributed + +np = max(1, Sys.CPU_THREADS ÷ 2) +addprocs(np - 1) + +@everywhere using NLPModels, NLPModelsJuMP, OptimizationProblems, Test @test names(ADNLPProblems) == [:ADNLPProblems] -import ADNLPModels +@everywhere import ADNLPModels + +@everywhere function defined_names(mod::Module) + # Exported only (default) + actually defined. Adjust all=true if you prefer. + [n for n in names(mod) if isdefined(mod, n)] +end -const list_problems = intersect(names(ADNLPProblems), names(PureJuMP)) -# all problems have a JuMP and ADNLPModels formulations -@test setdiff(union(names(ADNLPProblems), names(PureJuMP)), list_problems) == - [:ADNLPProblems, :PureJuMP] +const list_problems = + setdiff(union(defined_names(ADNLPProblems), defined_names(PureJuMP)), [:PureJuMP, :ADNLPProblems]) -include("test_utils.jl") +# The problems included should be carefully argumented and issues +# to create them added. +# TODO: tests are limited for JuMP-only problems +const list_problems_not_ADNLPProblems = Symbol[] +const list_problems_ADNLPProblems = setdiff(list_problems, list_problems_not_ADNLPProblems) +const list_problems_not_PureJuMP = Symbol[] +const list_problems_PureJuMP = setdiff(list_problems, list_problems_not_PureJuMP) -@test ndef == OptimizationProblems.PureJuMP.default_nvar -@test ndef == OptimizationProblems.ADNLPProblems.default_nvar +include("test-defined-problems.jl") +include("test-utils.jl") + +@everywhere function make_ad_nlp(prob::Symbol; kwargs...) + mod = ADNLPProblems + if !isdefined(mod, prob) + error("Problem $(prob) is not defined in ADNLPProblems on pid $(myid()).") + end + ctor = getfield(mod, prob) + return ctor(matrix_free = true; kwargs...) +end -@testset "problem: $prob" for prob in list_problems +@everywhere function test_one_problem(prob::Symbol) pb = string(prob) nvar = OptimizationProblems.eval(Symbol(:get_, prob, :_nvar))() ncon = OptimizationProblems.eval(Symbol(:get_, prob, :_ncon))() - nlp_ad = if (nvar + ncon < 10000) - eval(Meta.parse("ADNLPProblems.$(prob)()")) - else - # Avoid SparseADJacobian for too large problem as it requires a lot of memory for CIs - eval(Meta.parse("ADNLPProblems.$(prob)(" * simp_backend * ")")) + function timed_info(label, f, args...; kwargs...) + stats = @timed f(args...; kwargs...) + msg = + "$(label) took $(round(stats.time, digits=2)) s " * + "($(Base.format_bytes(stats.bytes)) allocated, " * + "GC $(round(100*stats.gctime/stats.time, digits=1)) %)" + @info msg + return stats.value end + nlp_ad = timed_info("Instantiating $(pb)", make_ad_nlp, prob) + @test nlp_ad.meta.name == pb if pb in meta[(meta.contype .== :quadratic) .| (meta.contype .== :general), :name] @@ -45,42 +73,24 @@ include("test_utils.jl") end end - @testset "Test for nls_prob flag for $prob" begin - nls_prob = eval(Meta.parse("ADNLPProblems.$(prob)(use_nls = true)")) - if (typeof(nls_prob) <: ADNLPModels.ADNLSModel) # if the nls_flag is not supported we ignore the prob - test_in_place_residual(prob, nls_prob) + model = begin + mod = PureJuMP + if isdefined(mod, prob) + getfield(mod, prob)(n = ndef) + else + nothing end end - - @testset "Test problems compatibility for $prob" begin - prob_fn = eval(Meta.parse("PureJuMP.$(prob)")) - model = prob_fn(n = ndef) - nlp_jump = MathOptNLPModel(model) - test_compatibility(prob, nlp_jump, nlp_ad, ndef) + if !isnothing(model) + @testset "Test problems compatibility for $prob" begin + nlp_jump = MathOptNLPModel(model) + test_compatibility(prob, nlp_jump, nlp_ad, ndef) + end end end -names_pb_vars = meta[ - meta.variable_nvar .== true, - [:nvar, :name, :best_known_upper_bound, :best_known_lower_bound], -] -adproblems = ( - eval(Meta.parse("ADNLPProblems.$(pb[:name])(" * simp_backend * ")")) for - pb in eachrow(names_pb_vars) -) -adproblems11 = ( - eval(Meta.parse("ADNLPProblems.$(pb[:name])(n=$(13 * ndef), " * simp_backend * ")")) for - pb in eachrow(names_pb_vars) -) - -@testset "Test scalable problems" begin - @testset "problem: $pb" for (pb, nlp, nlp11) in - zip(eachrow(names_pb_vars), adproblems, adproblems11) - @test pb[:nvar] == nlp.meta.nvar - n11 = OptimizationProblems.eval(Symbol(:get_, pb[:name], :_nvar))(n = 13 * ndef) - @test n11 == nlp11.meta.nvar - - # test that the problem is actually scalable - @test n11 != pb[:nvar] - end -end +pmap(test_one_problem, list_problems_ADNLPProblems) + +include("test-scalable.jl") + +rmprocs() diff --git a/test/test-defined-problems.jl b/test/test-defined-problems.jl new file mode 100644 index 00000000..0007a346 --- /dev/null +++ b/test/test-defined-problems.jl @@ -0,0 +1,27 @@ +@everywhere function probe_missing(mod::Module, syms::Vector{Symbol}) + missing = Symbol[] + for s in syms + if !isdefined(mod, s) + push!(missing, s) + end + end + return (pid = myid(), missing = missing) +end + +probes = @sync begin + for pid in workers() + @async remotecall_fetch(probe_missing, pid, ADNLPProblems, list_problems_ADNLPProblems) + end +end +@info "ADNLPProblems missing per worker" probes + +probes = @sync begin + for pid in workers() + @async remotecall_fetch(probe_missing, pid, PureJuMP, list_problems_PureJuMP) + end +end +@info "PureJuMP missing per worker" probes + +@test setdiff(union(names(ADNLPProblems), list_problems_not_ADNLPProblems), list_problems) == + [:ADNLPProblems] +@test setdiff(union(names(PureJuMP), list_problems_not_PureJuMP), list_problems) == [:PureJuMP] diff --git a/test/test-scalable.jl b/test/test-scalable.jl new file mode 100644 index 00000000..bbabefd7 --- /dev/null +++ b/test/test-scalable.jl @@ -0,0 +1,22 @@ +@everywhere function test_scalable(item) + try + name = item.name + @testset "Test scalable problems - problem: $(name)" begin + nlp = make_ad_nlp(Symbol(name)) + @test item.nvar == nlp.meta.nvar + nlp11 = make_ad_nlp(Symbol(name); n = 13 * ndef) + n11 = OptimizationProblems.eval(Symbol(:get_, name, :_nvar))(n = 13 * ndef) + @test n11 == nlp11.meta.nvar + + # test that the problem is actually scalable + @test n11 != item.nvar + end + catch e + @warn "Skipping $(item.name) due to error" err + @test_skip "Skipped $(item.name) due to $(typeof(err))" + end +end + +names_pb_vars = meta[meta.variable_nvar .== true, [:nvar, :name]] +items = [(name = Symbol(row[:name]), nvar = row[:nvar]) for row in eachrow(names_pb_vars)] +pmap(test_scalable, items) diff --git a/test/test_utils.jl b/test/test-utils.jl similarity index 76% rename from test/test_utils.jl rename to test/test-utils.jl index 08dab5e0..5ae09609 100644 --- a/test/test_utils.jl +++ b/test/test-utils.jl @@ -1,13 +1,12 @@ -ndef = OptimizationProblems.default_nvar -test_nvar = Int(round(ndef / 2)) -meta = OptimizationProblems.meta +@everywhere const ndef = OptimizationProblems.default_nvar -# Avoid SparseADJacobian/Hessian for too large problem as it requires a lot of memory for CIs -simp_backend = "jacobian_backend = ADNLPModels.ForwardDiffADJacobian, hessian_backend = ADNLPModels.ForwardDiffADHessian" +@test ndef == OptimizationProblems.PureJuMP.default_nvar +@test ndef == OptimizationProblems.ADNLPProblems.default_nvar -# list of functions used in unit tests +@everywhere const test_nvar = Int(round(ndef / 2)) +@everywhere meta = OptimizationProblems.meta -function meta_sanity_check(prob::Symbol, nlp::AbstractNLPModel) +@everywhere function meta_sanity_check(prob::Symbol, nlp::AbstractNLPModel) meta = OptimizationProblems.eval(Symbol(prob, :_meta)) getnvar = OptimizationProblems.eval(Symbol(:get_, prob, :_nvar))(n = test_nvar) @test getnvar == meta[:nvar] || meta[:variable_nvar] @@ -29,12 +28,12 @@ function meta_sanity_check(prob::Symbol, nlp::AbstractNLPModel) @test meta[:has_fixed_variables] == (get_ifix(nlp) != []) end -function test_in_place_constraints(prob::Symbol) +@everywhere function test_in_place_constraints(prob::Symbol) nlp = OptimizationProblems.ADNLPProblems.eval(prob)() return test_in_place_constraints(prob, nlp) end -function test_in_place_constraints(prob::Symbol, nlp::AbstractNLPModel) +@everywhere function test_in_place_constraints(prob::Symbol, nlp::AbstractNLPModel) x = get_x0(nlp) ncon = nlp.meta.nnln @test ncon > 0 @@ -47,13 +46,13 @@ function test_in_place_constraints(prob::Symbol, nlp::AbstractNLPModel) @test ncon == m end -function test_in_place_residual(prob::Symbol) +@everywhere function test_in_place_residual(prob::Symbol) nls = OptimizationProblems.ADNLPProblems.eval(prob)(use_nls = true) @test typeof(nls) <: ADNLPModels.ADNLSModel return test_in_place_residual(prob, nls) end -function test_in_place_residual(prob::Symbol, nls::AbstractNLSModel) +@everywhere function test_in_place_residual(prob::Symbol, nls::AbstractNLSModel) x = nls.meta.x0 Fx = similar(x, nls.nls_meta.nequ) pb = String(prob) @@ -65,7 +64,7 @@ function test_in_place_residual(prob::Symbol, nls::AbstractNLSModel) @test nls.nls_meta.nequ == m end -function test_compatibility(prob::Symbol, ndef::Integer = ndef) +@everywhere function test_compatibility(prob::Symbol, ndef::Integer = ndef) prob_fn = eval(Meta.parse("PureJuMP.$(prob)")) model = prob_fn(n = ndef) nlp_jump = MathOptNLPModel(model) @@ -73,17 +72,12 @@ function test_compatibility(prob::Symbol, ndef::Integer = ndef) nvar = OptimizationProblems.eval(Symbol(:get_, prob, :_nvar))() ncon = OptimizationProblems.eval(Symbol(:get_, prob, :_ncon))() - nlp_ad = if (nvar + ncon < 10000) - eval(Meta.parse("ADNLPProblems.$(prob)()")) - else - # Avoid SparseADJacobian for too large problem as it requires a lot of memory for CIs - eval(Meta.parse("ADNLPProblems.$(prob)(" * simp_backend * ")")) - end + nlp_ad = make_ad_nlp(prob) return test_compatibility(prob, nlp_jump, nlp_ad, ndef) end -function test_compatibility( +@everywhere function test_compatibility( prob::Symbol, nlp_jump, nlp_ad::ADNLPModels.ADModel, @@ -126,7 +120,7 @@ function test_compatibility( meta_sanity_check(prob, nlp_ad) end -function test_multi_precision( +@everywhere function test_multi_precision( prob::Symbol, nlp_ad::ADNLPModels.ADNLPModel{T}; list_types = [Float32, Float64], @@ -135,21 +129,17 @@ function test_multi_precision( test_multi_precision(prob, list_types = setdiff(list_types, [T])) end -function test_multi_precision(prob::Symbol; list_types = [Float32, Float64]) +@everywhere function test_multi_precision(prob::Symbol; list_types = [Float32, Float64]) nvar = OptimizationProblems.eval(Symbol(:get_, prob, :_nvar))() ncon = OptimizationProblems.eval(Symbol(:get_, prob, :_ncon))() for T in list_types - nlp = if (nvar + ncon < 10000) - eval(Meta.parse("ADNLPProblems.$(prob)(type=$(T))")) - else - eval(Meta.parse("ADNLPProblems.$(prob)(type=$T, " * simp_backend * ")")) - end + nlp = make_ad_nlp(prob; type = T) test_multi_precision(T, nlp) end end -function test_multi_precision(::Type{T}, nlp::AbstractNLPModel) where {T} +@everywhere function test_multi_precision(::Type{T}, nlp::AbstractNLPModel) where {T} x0 = get_x0(nlp) @test eltype(x0) == T @test typeof(obj(nlp, x0)) == T