diff --git a/.github/workflows/gd_bugfix_rapid_q.yaml b/.github/workflows/gd_bugfix_rapid_q.yaml new file mode 100644 index 000000000..711d93dc2 --- /dev/null +++ b/.github/workflows/gd_bugfix_rapid_q.yaml @@ -0,0 +1,84 @@ +name: pytest against diffsky:gd_bugfix + +on: + workflow_dispatch: null + schedule: + # Runs "every Monday & Thursday at 3:05am Central" + - cron: '5 8 * * 1,4' + push: + branches: + - main + pull_request: null + +jobs: + tests: + name: pytest with diffsky@gd_bugfix_rapid_q + runs-on: "ubuntu-latest" + + steps: + - uses: actions/checkout@v5 + with: + fetch-depth: 0 + + - uses: conda-incubator/setup-miniconda@v3 + with: + python-version: 3.11 + channels: conda-forge,defaults + channel-priority: strict + show-channel-urls: true + miniforge-version: latest + + - name: configure conda and install code + shell: bash -l {0} + run: | + conda config --set always_yes yes + conda install --quiet \ + --file=requirements.txt + conda install -y -q \ + flake8 \ + pytest \ + pytest-xdist \ + pytest-cov \ + pip \ + setuptools \ + "setuptools_scm>=7,<8" \ + scipy \ + python-build + pip uninstall diffsky --yes + pip install --no-deps git+https://github.com/ArgonneCPAC/diffsky.git@gd_bugfix_rapid_q + + python -m pip install --no-build-isolation --no-deps -e . + + - name: test + shell: bash -l {0} + run: | + pytest -v diffhtwo --cov --cov-report=xml + + - name: Upload coverage reports to Codecov + uses: codecov/codecov-action@v5 + env: + CODECOV_TOKEN: ${{ secrets.CODECOV_TOKEN }} + + - name: test versions + shell: bash -el {0} + run: | + pip uninstall diffhtwo --yes + [[ $(python setup.py --version) != "0.0.0" ]] || exit 1 + + rm -rf dist/* + python setup.py sdist + pip install --no-deps --no-build-isolation dist/*.tar.gz + pushd .. + python -c "import diffhtwo; assert diffhtwo.__version__ != '0.0.0'" + popd + pip uninstall diffhtwo --yes + + rm -rf dist/* + python -m build --sdist . --outdir dist + pip install --no-deps --no-build-isolation dist/*.tar.gz + pushd .. + python -c "import diffhtwo; assert diffhtwo.__version__ != '0.0.0'" + popd + pip uninstall diffhtwo --yes + + python -m pip install -v --no-deps --no-build-isolation -e . diff --git a/diffhtwo/experimental/conftest.py b/diffhtwo/experimental/conftest.py index d0ca3d8b8..28f90611f 100644 --- a/diffhtwo/experimental/conftest.py +++ b/diffhtwo/experimental/conftest.py @@ -23,6 +23,11 @@ ZOUT = "feniks_zout_selected_for_testing.ecsv" +@pytest.fixture(scope="session") +def ran_key(): + return jran.key(0) + + @pytest.fixture(scope="session") def fake_subset_ssp_data(): ssp_data = retrieve_fake_fsps_data.load_fake_ssp_data() @@ -33,9 +38,9 @@ def fake_subset_ssp_data(): @pytest.fixture(scope="session") -def feniks(fake_subset_ssp_data): +def feniks(ran_key, fake_subset_ssp_data): ssp_data, emline_wave_aa = fake_subset_ssp_data - ran_key = jran.key(0) + feniks = load_feniks.get_feniks_data( FENIKS_DRN, ran_key, @@ -47,9 +52,9 @@ def feniks(fake_subset_ssp_data): @pytest.fixture(scope="session") -def hizels(fake_subset_ssp_data, feniks_tcurves): +def hizels(ran_key, fake_subset_ssp_data, feniks_tcurves): ssp_data, emline_wave_aa = fake_subset_ssp_data - ran_key = jran.key(0) + hizels = load_hizels.get_hizels_data( HIZELS_DRN, ran_key, @@ -71,14 +76,13 @@ def feniks_tcurves(): @pytest.fixture(scope="session") -def feniks_single_z_data(fake_subset_ssp_data, feniks): +def feniks_single_z_data(ran_key, fake_subset_ssp_data, feniks): ssp_data, emline_wave_aa = fake_subset_ssp_data z_min = 0.2 z_max = 1.0 N_centroids = 100 - ran_key = jran.key(0) feniks_meta_data, feniks_fitting_data = lhu.get_single_zbin_lh_lc( ran_key, feniks, @@ -91,15 +95,16 @@ def feniks_single_z_data(fake_subset_ssp_data, feniks): @pytest.fixture(scope="session") -def feniks_multi_z_data(fake_subset_ssp_data, feniks): +def feniks_multi_z_data(ran_key, fake_subset_ssp_data, feniks): ssp_data, emline_wave_aa = fake_subset_ssp_data - ran_key = jran.key(0) + feniks_z_min = [0.2, 1] + feniks_z_max = [1, 2] - z_mins = [0.2, 1.0] - z_maxs = [1.0, 2.0] + z_mins = feniks_z_min[:2] + z_maxs = feniks_z_max[:2] - N_centroids = 200 + N_centroids = 100 num_halos = 100 feniks_meta_data, feniks_fitting_data = lhu.get_zbins_lh_lc( ran_key, @@ -114,14 +119,12 @@ def feniks_multi_z_data(fake_subset_ssp_data, feniks): @pytest.fixture(scope="session") -def feniks_lc_data(fake_subset_ssp_data, feniks): +def feniks_lc_data(ran_key, fake_subset_ssp_data, feniks): ssp_data, emline_wave_aa = fake_subset_ssp_data tcurves = feniks.filter_info.tcurves - ran_key = jran.key(0) - z_min = 0.2 - z_max = 0.5 + z_max = 1.0 n_z_phot_table = 15 z_phot_table = 10 ** jnp.linspace( jnp.log10(z_min), jnp.log10(z_max), n_z_phot_table @@ -129,7 +132,7 @@ def feniks_lc_data(fake_subset_ssp_data, feniks): num_halos = 100 lgmp_min = 10.0 - lgmp_max = 15 + lgmp_max = 15.0 lc_sky_area_degsq = 100 lc_data = generate_lc_data( diff --git a/diffhtwo/experimental/data/feniks_test_data/feniks_phot_selected_for_testing.cat b/diffhtwo/experimental/data/feniks_test_data/feniks_phot_selected_for_testing.cat index 0e6e88ad6..3ecf0af87 100644 --- a/diffhtwo/experimental/data/feniks_test_data/feniks_phot_selected_for_testing.cat +++ b/diffhtwo/experimental/data/feniks_test_data/feniks_phot_selected_for_testing.cat @@ -1,101 +1,201 @@ ID X Y RA DEC fcol_MegaCam_uS ecol_MegaCam_uS w_MegaCam_uS fcol_SXDS_B ecol_SXDS_B w_SXDS_B fcol_HSC_G ecol_HSC_G w_HSC_G fcol_SXDS_V ecol_SXDS_V w_SXDS_V fcol_HSC_R ecol_HSC_R w_HSC_R fcol_SXDS_R ecol_SXDS_R w_SXDS_R fcol_SXDS_i ecol_SXDS_i w_SXDS_i fcol_HSC_I ecol_HSC_I w_HSC_I fcol_NB0816 ecol_NB0816 w_NB0816 fcol_VIDEO_z ecol_VIDEO_z w_VIDEO_z fcol_HSC_Z ecol_HSC_Z w_HSC_Z fcol_SXDS_z ecol_SXDS_z w_SXDS_z fcol_NB0921 ecol_NB0921 w_NB0921 fcol_HSC_Y ecol_HSC_Y w_HSC_Y fcol_VIDEO_Y ecol_VIDEO_Y w_VIDEO_Y fcol_UDS_J ecol_UDS_J w_UDS_J fcol_UDS_H ecol_UDS_H w_UDS_H fcol_VIDEO_H ecol_VIDEO_H w_VIDEO_H fcol_FENIKS_Kb ecol_FENIKS_Kb w_FENIKS_Kb fcol_VIDEO_Ks ecol_VIDEO_Ks w_VIDEO_Ks fcol_UDS_K ecol_UDS_K w_UDS_K fcol_FENIKS_Kr ecol_FENIKS_Kr w_FENIKS_Kr fcol_ch1 ecol_ch1 w_ch1 fcol_ch2 ecol_ch2 w_ch2 fcol_ch3 ecol_ch3 w_ch3 fcol_ch4 ecol_ch4 w_ch4 fauto_Kuds eauto_Kuds ftot_Kuds etot_Kuds auto_to_tot_corr fD3_Kuds eD3_Kuds fD5_Kuds eD5_Kuds Kronradius_Kuds aper aper_tot aper_to_tot_corr r50_Kuds ellipticity_Kuds PA_Kuds flags_Kuds class_star star gaia_star optnir_maxflags det_contam use_phot z_grism z_spec -36886 3029.408 2406.981 34.6897527 -5.4124922 0.83706 0.0230932 1.0 0.929386 0.011792 1.0 0.932376 0.0257037 0.948 0.953175 0.0145281 1.0 1.06951 0.0321486 0.872 1.04635 0.0179937 1.0 1.1497 0.0211326 1.0 1.16799 0.0355821 0.896 1.15512 0.0546691 1.014 1.30969 0.0741339 0.832 1.24744 0.0564832 0.907 1.26987 0.0439559 1.0 1.03434 0.0669896 0.992 1.63757 0.109731 0.96 1.80202 0.119577 0.868 2.03437 0.0648352 1.075 2.10244 0.113707 1.039 1.61143 0.325719 0.879 -99.0 -99.0 0.0 1.75613 0.346717 0.821 1.9083 0.0807253 1.039 -99.0 -99.0 0.0 1.81941 0.23183 1.766 1.86721 0.382814 0.964 5.70273 1.85287 1.63 2.30492 2.68999 0.786 4.64884 1.65621 4.89567 1.74415 1.0473 3.78074 0.22716 4.5838 0.38801 2.4776 1.3 4.9552 2.5655 0.787 0.268 32.05 0 0.032 0 0 0 0 1 0 -99.0 -211301 11763.282 11170.567 34.0361177 -4.7590483 0.652643 0.021918 1.0 0.840711 0.0117173 1.0 0.896425 0.0254068 0.976 0.913713 0.0145016 1.0 1.05654 0.032065 0.819 0.995568 0.0179665 1.0 1.14528 0.0211306 1.0 1.26947 0.0361604 0.877 1.18211 0.0547696 0.946 1.55515 0.0741458 1.427 1.46808 0.0572711 0.893 1.29968 0.0439623 1.0 1.37275 0.0680069 0.895 1.65283 0.109759 0.843 2.19711 0.119592 1.204 2.79981 0.064883 0.785 3.67649 0.113759 0.832 3.55309 0.325756 1.197 -99.0 -99.0 0.0 4.54985 0.346749 1.313 4.24838 0.0807735 0.826 -99.0 -99.0 0.0 6.07461 0.385353 0.574 7.05403 0.408936 1.499 -99.0 -99.0 0.0 7.02578 2.8219 1.221 8.69495 1.2806 9.58875 1.41224 1.0967 8.06361 0.227191 9.06302 0.388029 1.9692 1.3 3.9384 2.257 0.663 0.151 33.08 3 0.032 0 0 3 0 1 0 -99.0 -228669 5606.712 12011.277 34.4966926 -4.6964937 0.404896 0.0205768 1.0 0.427438 0.0113623 1.0 0.565498 0.0224905 1.297 0.829602 0.0144449 1.0 1.15215 0.0326763 1.295 1.09587 0.0180202 1.0 1.25279 0.0211791 1.0 1.40803 0.0369355 1.109 1.37967 0.0555005 1.049 1.5715 0.0741466 1.25 1.64071 0.0578801 1.256 1.34506 0.0439721 1.0 1.53504 0.0684894 1.175 1.60675 0.109674 1.293 1.63563 0.11957 1.115 1.78797 0.0648199 1.373 1.81483 0.113697 1.278 1.83483 0.325723 1.285 -99.0 -99.0 0.0 1.70171 0.346717 1.281 2.03409 0.0807279 1.23 -99.0 -99.0 0.0 1.33076 0.290567 1.094 -0.0137735 0.463942 1.027 -0.339341 2.61483 0.812 -0.131589 2.75178 0.987 3.59759 1.12764 4.08597 1.28072 1.1295 3.36731 0.227156 3.65306 0.388006 1.7578 1.3 3.5156 2.0087 0.585 0.247 -88.15 0 0.042 0 0 0 0 1 0 -99.0 -200207 3492.193 10612.999 34.6549012 -4.8007103 0.0805531 0.0172363 1.0 0.101156 0.0110741 1.0 0.111051 0.01772 1.155 0.199698 0.014013 1.0 0.346369 0.027096 1.179 0.450176 0.0176713 1.0 0.963692 0.0210483 1.0 -99.0 -99.0 0.0 -99.0 -99.0 0.0 2.2521 0.0741796 0.953 -99.0 -99.0 0.0 2.37756 0.0441942 1.0 -99.0 -99.0 0.0 -99.0 -99.0 0.0 3.85114 0.119654 0.999 6.20858 0.0650951 1.061 10.5565 0.11399 1.02 10.3216 0.325885 0.831 -99.0 -99.0 0.0 18.2757 0.346902 0.89 18.9551 0.0810761 0.972 -99.0 -99.0 0.0 31.9813 0.542956 1.096 28.6691 0.577412 1.099 20.7612 2.19561 1.206 21.9362 2.66158 0.958 41.8489 1.55851 44.4705 1.65614 1.0568 36.2507 0.227397 42.207 0.388171 2.3466 1.3 4.6933 2.3461 0.705 0.194 28.91 3 0.034 0 0 3 0 1 0 -99.0 -123183 1439.082 6710.911 34.8086673 -5.0915615 0.805896 0.0233646 1.0 0.940028 0.011801 1.0 0.992958 0.0261965 1.144 1.00186 0.0145608 1.0 1.15082 0.0326678 1.019 1.00109 0.0179694 1.0 1.09944 0.0211098 1.0 1.27083 0.0361681 1.014 1.26768 0.0550874 0.812 1.30778 0.0741338 0.892 1.497 0.0573736 1.11 1.20478 0.0439419 1.0 1.68109 0.0689208 1.131 1.96092 0.110326 1.092 2.16041 0.11959 0.892 2.64699 0.0648734 1.297 3.41921 0.113751 1.27 2.98538 0.325745 0.93 -99.0 -99.0 0.0 3.06538 0.346732 0.905 3.37714 0.0807556 1.157 -99.0 -99.0 0.0 5.85392 0.362682 0.86 6.58089 0.456679 2.011 6.21187 3.1055 0.902 4.94525 2.62457 2.276 5.97294 1.1089 6.8122 1.26471 1.1342 5.79274 0.227174 6.46831 0.388018 1.7317 1.3 3.4634 2.0172 0.595 0.18 78.47 3 0.113 0 0 3 0 1 0 -99.0 -57534 5703.002 3467.79 34.4895283 -5.3334506 0.655417 0.0223045 1.0 2.12104 0.0127543 1.0 3.22549 0.0403561 0.681 6.11704 0.0176587 1.0 13.7296 0.0792091 0.742 15.9698 0.0247303 1.0 24.4622 0.0298634 1.0 25.479 0.105858 0.73 -99.0 -99.0 0.0 35.9551 0.0757934 0.872 35.2953 0.130468 0.788 33.1943 0.0503728 1.0 -99.0 -99.0 0.0 42.9066 0.169582 0.886 45.1934 0.12121 0.805 60.8207 0.0684033 1.09 84.6481 0.116439 1.088 77.7133 0.327169 0.992 -99.0 -99.0 0.0 97.315 0.347783 0.873 102.43 0.0827724 1.14 -99.0 -99.0 0.0 60.5552 0.956868 0.786 50.6113 0.887872 0.647 51.6263 2.65474 0.785 48.7723 3.15034 0.755 209.79 1.6549 220.957 1.74299 1.0474 182.084 0.228463 210.184 0.388891 2.4756 1.3 4.9511 2.1572 0.664 0.107 -1.23 0 0.409 0 0 0 0 1 0 -99.0 -43743 5630.516 2747.026 34.4949598 -5.387186 -0.0125948 0.0171322 1.0 -0.000633257 0.0109826 1.0 -0.00570452 0.0162701 1.12 -0.0230211 0.013857 1.0 0.00914215 0.0243844 1.03 0.0165269 0.0174331 1.0 0.0629283 0.0206356 1.0 0.0246768 0.0282599 0.976 0.0567433 0.0504049 1.108 0.0770666 0.0740742 1.024 0.0506061 0.0520015 0.963 0.10354 0.0437036 1.0 0.175246 0.0643348 0.857 0.0866803 0.10683 0.983 0.16403 0.119515 0.92 0.2397 0.0647232 1.043 0.610546 0.113657 1.032 1.03871 0.325708 1.096 -99.0 -99.0 0.0 1.86071 0.346719 1.031 2.3202 0.0807338 1.091 -99.0 -99.0 0.0 2.79968 0.296372 1.234 2.54367 0.412689 2.074 9.71748 2.3443 1.221 6.46759 2.21762 2.405 4.30735 1.38544 4.67396 1.50336 1.0791 3.88548 0.22716 4.56623 0.38801 2.1125 1.3 4.2251 2.0145 0.601 0.056 -36.12 0 0.504 0 0 0 0 1 0 -99.0 -124268 6085.58 6767.152 34.4608773 -5.0874673 0.152299 0.0181365 1.0 0.267001 0.0112215 1.0 0.281359 0.019644 1.066 0.365248 0.0141278 1.0 0.395201 0.0274665 1.147 0.367702 0.0176263 1.0 0.438249 0.0208086 1.0 0.462665 0.0312682 1.083 0.421412 0.0518595 1.017 0.687237 0.0741038 1.591 0.58887 0.0540631 1.149 0.539588 0.0437981 1.0 0.600111 0.0656611 1.124 0.660005 0.107911 1.053 0.543132 0.119529 1.32 1.14646 0.0647798 1.433 1.49023 0.113686 1.495 1.19768 0.325711 1.499 -99.0 -99.0 0.0 1.9567 0.34672 1.512 1.94146 0.080726 1.267 -99.0 -99.0 0.0 1.96955 0.358462 0.957 3.21383 0.43376 1.938 4.39791 2.56676 1.269 5.20884 2.52854 2.305 3.5307 1.05207 4.08258 1.21651 1.1499 3.40883 0.227157 4.12583 0.388008 1.6522 1.3 3.3044 2.1028 0.595 0.114 -40.05 3 0.274 0 0 3 0 1 0 -99.0 -2296 9737.029 660.744 34.1873802 -5.542667 -6.03445e-05 0.0162364 1.0 -99.0 -99.0 0.0 0.0876986 0.0174396 0.229 -99.0 -99.0 0.0 0.0307321 0.024567 0.323 -99.0 -99.0 0.0 -99.0 -99.0 0.0 0.0882876 0.0287164 0.258 0.309376 0.051417 0.23 0.155513 0.074078 0.903 0.261607 0.0528192 0.275 -99.0 -99.0 0.0 0.473944 0.0652701 0.279 0.449484 0.107516 0.269 0.412649 0.119524 0.856 0.861121 0.064762 0.526 2.03717 0.113705 0.437 1.7891 0.325722 0.849 -99.0 -99.0 0.0 3.74354 0.34674 0.842 3.55358 0.0807592 0.44 -99.0 -99.0 0.0 7.62539 0.318722 0.745 8.30175 0.447824 0.907 15.3269 3.36951 0.413 12.3656 4.205 0.412 6.65807 1.15563 7.51852 1.30498 1.123 6.53897 0.22718 6.66246 0.388019 1.7967 1.3 3.5934 2.1158 0.615 0.245 67.48 0 0.045 0 0 0 0 1 0 -99.0 -157213 3483.884 8394.065 34.6555757 -4.9661405 -99.0 -99.0 0.0 0.501615 0.0114269 1.0 0.603836 0.0228474 1.071 0.757881 0.0143964 1.0 -99.0 -99.0 0.0 0.829355 0.017877 1.0 1.01754 0.0210728 1.0 -99.0 -99.0 0.0 1.1928 0.0548095 1.276 -99.0 -99.0 0.0 -99.0 -99.0 0.0 1.30722 0.043964 1.0 1.45567 0.0682539 1.291 -99.0 -99.0 0.0 1.43445 0.119563 1.074 2.98566 0.0648945 1.077 4.09546 0.113773 1.067 3.82258 0.325761 1.253 -99.0 -99.0 0.0 4.73001 0.346751 1.145 4.25121 0.0807736 1.05 -99.0 -99.0 0.0 5.55475 0.380516 0.769 6.8673 0.439403 0.941 7.33544 2.43006 1.158 5.20097 2.63107 1.197 7.69686 1.28216 8.48573 1.41357 1.0964 7.34146 0.227186 7.8951 0.388024 1.9714 1.3 3.9427 1.9961 0.597 0.145 27.56 2 0.114 0 0 2 0 1 0 -99.0 -121305 8568.216 6638.329 34.2750488 -5.0970481 0.184135 0.0178645 1.0 0.37166 0.0113136 1.0 0.551178 0.0223557 0.949 0.659929 0.0143298 1.0 -99.0 -99.0 0.0 1.08545 0.0180147 1.0 1.65564 0.02136 1.0 -99.0 -99.0 0.0 -99.0 -99.0 0.0 -99.0 -99.0 0.0 -99.0 -99.0 0.0 2.60716 0.0442434 1.0 -99.0 -99.0 0.0 -99.0 -99.0 0.0 -99.0 -99.0 0.0 5.49087 0.0650505 0.843 9.96187 0.11397 0.856 11.1255 0.3259 0.996 0.00776586 1.23803 inf 18.5371 0.346905 1.096 19.6898 0.0810912 0.805 0.0133767 1.13484 inf 36.5608 0.613224 0.773 33.1993 0.651401 0.659 20.6474 2.28749 0.84 25.0012 2.75857 0.791 50.2719 1.65506 52.9464 1.74311 1.0474 41.7358 0.227438 50.1222 0.388205 2.476 1.3 4.952 2.689 0.814 0.21 49.08 3 0.027 0 0 3 0 1 0 -99.0 -178609 4233.845 9464.237 34.5994335 -4.8863691 -99.0 -99.0 0.0 -99.0 -99.0 0.0 -99.0 -99.0 0.0 6.23996 0.0177264 1.0 -99.0 -99.0 0.0 6.00164 0.0204778 1.0 8.73076 0.0243182 1.0 -99.0 -99.0 0.0 -99.0 -99.0 0.0 -99.0 -99.0 0.0 -99.0 -99.0 0.0 -99.0 -99.0 0.0 -99.0 -99.0 0.0 -99.0 -99.0 0.0 -99.0 -99.0 0.0 28.0744 0.0664394 1.474 40.0695 0.114971 1.336 36.5331 0.326385 0.789 -99.0 -99.0 0.0 57.3032 0.347337 0.837 61.4161 0.0819434 1.261 -99.0 -99.0 0.0 95.68 1.47385 0.77 88.6813 1.38932 1.327 81.4058 2.83615 0.896 74.4868 2.92168 1.301 134.56 1.52427 143.48 1.6253 1.0604 118.472 0.227999 135.652 0.388572 2.3004 1.3 4.6008 2.3362 0.702 0.142 65.48 3 0.263 0 0 3 0 1 0 -99.0 -60921 11753.278 3635.433 34.0365043 -5.3208152 -99.0 -99.0 0.0 -99.0 -99.0 0.0 1.49186 0.0299474 0.487 -99.0 -99.0 0.0 2.36105 0.0395999 0.555 -99.0 -99.0 0.0 -99.0 -99.0 0.0 -99.0 -99.0 0.0 2.85146 0.0606686 0.761 3.23766 0.0742273 1.336 3.33465 0.0635472 0.596 -99.0 -99.0 0.0 3.24603 0.0733837 0.705 3.53599 0.113181 0.585 3.27891 0.119633 1.163 2.70864 0.0648773 1.519 3.04472 0.113738 1.38 3.51886 0.325755 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-4.7470703 0.684312 0.0220066 1.0 0.823474 0.0117027 1.0 0.996688 0.0262265 0.85 1.4543 0.0148608 1.0 2.24615 0.0389948 0.89 2.47052 0.0187414 1.0 4.85362 0.0227448 1.0 5.20083 0.0539905 0.852 6.90223 0.073028 0.908 8.97885 0.0745045 1.078 8.99768 0.0796165 0.948 8.49814 0.0454881 1.0 9.93765 0.0900044 0.791 11.086 0.125969 1.001 11.8049 0.119955 1.112 17.5435 0.0657954 0.707 24.4616 0.114453 0.796 24.1945 0.32615 0.991 -99.0 -99.0 0.0 37.4501 0.347116 1.004 37.9646 0.0814655 0.755 -99.0 -99.0 0.0 48.3546 0.789634 0.703 36.1339 0.660916 1.497 -99.0 -99.0 0.0 20.417 2.91131 0.841 85.3888 1.68402 89.7117 1.76928 1.0448 72.6993 0.227664 85.1684 0.388355 2.5146 1.3 5.0292 2.363 0.719 0.044 -67.22 0 0.027 0 0 0 0 1 0 -99.0 -102196 2180.342 5715.213 34.7532201 -5.1658235 0.197204 0.018559 1.0 0.23896 0.0111967 1.0 0.305629 0.019903 1.091 0.381291 0.0141388 1.0 0.629689 0.02918 1.081 0.794123 0.017858 1.0 1.11418 0.0211165 1.0 1.1756 0.0356258 1.113 1.09953 0.0544613 0.93 1.36532 0.0741366 0.943 1.54977 0.0575601 1.128 1.37027 0.0439775 1.0 1.56499 0.0685781 0.982 1.68198 0.109813 1.087 1.62463 0.11957 1.024 1.8969 0.0648267 1.031 2.26971 0.113712 0.991 2.01396 0.325726 0.988 -99.0 -99.0 0.0 2.41955 0.346725 0.948 2.53816 0.0807383 1.023 -99.0 -99.0 0.0 2.07155 0.285922 1.125 1.06725 0.426788 1.007 -3.42663 2.13254 1.711 1.24197 2.49632 1.343 5.5394 1.62982 5.84662 1.72022 1.0496 4.60983 0.227166 5.31256 0.388013 2.4423 1.3 4.8846 2.3035 0.71 0.447 -0.91 3 0.028 0 0 3 0 1 0 -99.0 -213134 11396.744 11263.603 34.063542 -4.7521282 0.000725242 0.0162983 1.0 0.0638893 0.0110407 1.0 0.0766494 0.0173054 0.918 0.100501 0.0139437 1.0 0.0714813 0.0249079 0.848 0.113989 0.0174869 1.0 0.168432 0.0206844 1.0 0.14891 0.0291448 0.942 0.160817 0.0508243 1.007 0.125631 0.0740766 1.089 0.235102 0.0527172 0.98 0.24642 0.0437346 1.0 0.219242 0.0644734 0.94 0.388413 0.1074 1.025 0.424094 0.119524 1.008 0.860043 0.064762 0.816 1.8678 0.113699 0.867 1.69143 0.32572 0.911 -99.0 -99.0 0.0 4.65095 0.34675 1.008 3.90678 0.0807665 0.857 -99.0 -99.0 0.0 7.88016 0.30288 0.772 10.2553 0.351823 1.822 -99.0 -99.0 0.0 10.5288 1.94106 1.665 9.53692 1.43121 10.2845 1.54339 1.0724 8.21094 0.227192 9.99431 0.388033 2.1747 1.3 4.3495 2.6325 0.767 0.187 -58.92 0 0.029 0 0 0 0 1 0 -99.0 -99361 10953.019 5554.781 34.0965021 -5.1777581 -99.0 -99.0 0.0 -99.0 -99.0 0.0 -99.0 -99.0 0.0 -99.0 -99.0 0.0 -99.0 -99.0 0.0 -99.0 -99.0 0.0 -99.0 -99.0 0.0 -99.0 -99.0 0.0 -99.0 -99.0 0.0 -99.0 -99.0 0.0 -99.0 -99.0 0.0 -99.0 -99.0 0.0 1.73033 0.0690656 0.92 -99.0 -99.0 0.0 -99.0 -99.0 0.0 1.50241 0.0648021 1.066 1.8162 0.113697 1.019 2.31064 0.325732 0.836 0.00391262 1.23803 inf 2.08259 0.346721 0.92 1.92043 0.0807255 1.048 0.0493365 1.13485 inf 2.11025 0.300541 1.01 1.73251 0.424229 1.203 10.4308 2.71227 0.792 9.22285 2.54424 1.315 3.3692 1.0729 3.87611 1.23432 1.1441 3.42777 0.227157 3.32729 0.388004 1.6814 1.3 3.3628 2.0184 0.586 0.082 53.07 0 0.032 0 0 0 0 1 0 -99.0 -179143 10493.659 9496.522 34.131035 -4.8839031 2.14865 0.0280684 1.0 3.47378 0.0137653 1.0 4.31762 0.0457123 0.923 5.58603 0.0173628 1.0 6.60516 0.0576626 1.153 6.55474 0.0207367 1.0 7.39261 0.0237869 1.0 -99.0 -99.0 0.0 -99.0 -99.0 0.0 8.39639 0.0744764 1.202 8.46312 0.0782408 0.919 7.53594 0.0452872 1.0 -99.0 -99.0 0.0 8.73958 0.122138 0.995 8.8136 0.119842 1.135 9.37459 0.0652914 1.041 10.1506 0.113976 1.055 9.25647 0.325865 1.05 -99.0 -99.0 0.0 9.66424 0.346806 1.107 9.44639 0.0808806 1.031 -99.0 -99.0 0.0 4.593 0.168921 2.166 3.6367 0.248761 1.297 4.64153 1.26764 1.692 3.47319 1.44251 1.352 41.6824 2.33319 42.4384 2.37551 1.0125 27.324 0.227332 37.4876 0.388151 3.3645 1.3 6.7289 4.4926 1.148 0.307 -77.29 2 0.029 0 0 2 0 1 0 -99.0 -13014 7945.239 1237.931 34.3215986 -5.499681 0.336071 0.0193546 1.0 0.346397 0.0112914 1.0 0.450945 0.0213885 0.509 0.570617 0.0142689 1.0 -99.0 -99.0 0.0 0.821169 0.0178726 1.0 1.46296 0.0212736 1.0 -99.0 -99.0 0.0 -99.0 -99.0 0.0 2.48611 0.0741909 0.719 -99.0 -99.0 0.0 2.36447 0.0441913 1.0 -99.0 -99.0 0.0 -99.0 -99.0 0.0 3.405 0.119637 0.652 4.21794 0.0649713 1.132 5.96917 0.113836 1.138 5.70203 0.325797 0.726 -99.0 -99.0 0.0 9.84332 0.346808 0.752 10.0019 0.080892 1.159 -99.0 -99.0 0.0 14.186 0.312144 2.171 11.7306 0.415416 1.551 12.4922 1.86721 1.915 4.8349 2.3714 1.217 21.4953 1.51718 22.936 1.61887 1.0611 18.7305 0.227269 22.0943 0.388085 2.291 1.3 4.582 2.2932 0.692 0.174 65.54 2 0.039 0 0 2 0 1 0 -99.0 -23817 5768.042 1780.252 34.484665 -5.4592627 -99.0 -99.0 0.0 1.77619 0.0124834 1.0 2.01122 0.0334076 0.705 2.36802 0.0154491 1.0 3.03103 0.0429591 0.691 3.02753 0.0190258 1.0 5.35256 0.0229533 1.0 5.72441 0.0559379 0.799 6.80349 0.0727517 0.864 7.84153 0.0744496 0.748 8.1381 0.0773925 0.902 7.10212 0.0451963 1.0 8.03986 0.0856191 0.87 9.06876 0.122683 0.897 8.68642 0.119837 0.725 11.2417 0.0654069 0.989 13.1391 0.114076 0.968 12.4961 0.325927 0.74 -99.0 -99.0 0.0 16.3062 0.34688 0.704 16.4467 0.0810246 1.031 -99.0 -99.0 0.0 19.613 0.384401 0.982 13.397 0.411988 1.046 11.081 2.17167 0.835 10.7708 2.58548 0.809 41.8003 1.57782 44.3339 1.67346 1.0548 35.435 0.227391 42.0652 0.388171 2.3726 1.3 4.7451 2.6956 0.789 0.074 1.36 3 0.028 0 0 3 0 1 0 -99.0 -97230 9295.693 5483.337 34.2205659 -5.1831413 0.42477 0.0209009 1.0 0.726294 0.0116201 1.0 0.839164 0.0249266 0.87 1.29996 0.0147592 1.0 2.19084 0.0387001 0.983 2.72699 0.0188729 1.0 4.41401 0.0225595 1.0 4.56608 0.051531 0.861 -99.0 -99.0 0.0 7.15751 0.0744166 1.424 6.73024 0.0736048 0.917 7.49914 0.0452795 1.0 7.62665 0.0846341 1.019 10.9407 0.125735 0.924 11.6633 0.11995 1.232 18.1299 0.0658314 1.236 27.7259 0.114562 1.26 26.8717 0.326201 1.176 -99.0 -99.0 0.0 27.6164 0.347006 1.354 30.8401 0.0813198 1.145 -99.0 -99.0 0.0 52.8875 0.852369 0.88 75.272 1.20377 1.937 113.643 3.01384 1.213 161.48 3.39213 2.461 55.9278 1.69483 58.7054 1.779 1.0439 48.2171 0.227485 55.8247 0.38823 2.529 1.3 5.0581 1.9035 0.587 0.192 -35.76 0 0.879 0 0 0 0 1 0 1.422 -140031 10011.789 7553.581 34.167027 -5.0287736 0.535963 0.0210852 1.0 0.585096 0.011499 1.0 0.609777 0.0229022 1.034 0.626655 0.0143072 1.0 0.783774 0.0302532 0.778 0.934296 0.0179336 1.0 1.32048 0.0212096 1.0 1.36443 0.0366933 0.912 1.3849 0.0555197 0.976 1.69234 0.0741525 1.087 1.80474 0.0584529 1.026 1.53901 0.0440139 1.0 1.3976 0.068081 0.925 1.60105 0.109663 0.995 1.43599 0.119563 1.306 2.00687 0.0648335 0.808 2.08477 0.113706 0.885 1.78542 0.325722 1.113 0.942834 1.23815 inf 2.11465 0.346721 1.108 2.01272 0.0807274 0.911 0.00953279 1.13484 inf 1.62244 0.289259 1.218 2.08242 0.475568 0.726 -1.87121 2.09089 1.599 2.71569 2.98038 0.789 3.401 1.09321 3.89353 1.25153 1.1385 3.51383 0.227158 3.40747 0.388005 1.7098 1.3 3.4196 1.9345 0.57 0.251 -30.66 2 0.039 0 0 2 0 1 0 -99.0 -51139 8736.249 3118.716 34.2623946 -5.3594481 0.656086 0.0211523 1.0 0.66731 0.0115697 1.0 0.709957 0.0238075 0.819 0.758833 0.014397 1.0 1.12134 0.0324805 0.911 1.29489 0.0181264 1.0 1.67552 0.0213688 1.0 1.73189 0.0386865 0.896 2.38373 0.0590753 0.933 1.8627 0.0741607 0.727 1.78637 0.0583891 0.801 1.5609 0.0440186 1.0 1.62622 0.068759 0.809 2.01504 0.110425 0.83 1.9909 0.119584 0.695 1.86587 0.0648247 1.13 1.92525 0.113701 1.129 2.54051 0.325736 0.856 0.040392 1.23803 inf 1.93021 0.346719 0.784 2.13026 0.0807299 1.139 0.0246906 1.13484 inf 1.92254 0.245489 1.053 0.527381 0.439194 0.616 -0.814252 1.89554 1.632 -2.29641 2.86665 0.774 4.93801 1.24789 5.47717 1.38414 1.1031 4.53834 0.227165 5.42739 0.388013 1.9242 1.3 3.8485 2.5711 0.731 0.021 -36.03 3 0.027 0 0 3 0 1 0 -99.0 -5795 389.938 867.137 34.8874892 -5.5271783 0.107226 0.0168897 1.0 -99.0 -99.0 0.0 0.263015 0.0194459 0.323 -99.0 -99.0 0.0 0.410218 0.0275794 0.344 -99.0 -99.0 0.0 -99.0 -99.0 0.0 0.566364 0.031939 0.468 0.556089 0.0523865 0.633 0.71253 0.074105 0.984 0.663006 0.0543409 0.32 -99.0 -99.0 0.0 0.835713 0.0663852 0.472 0.689785 0.107967 0.342 1.18217 0.119553 0.937 1.6355 0.0648104 0.643 3.2612 0.113746 0.608 3.25978 0.32575 0.858 -99.0 -99.0 0.0 5.13015 0.346755 0.917 4.91615 0.0807873 0.657 -99.0 -99.0 0.0 6.71474 0.295571 0.722 7.69961 0.467315 0.467 -99.0 -99.0 0.0 -99.0 -99.0 0.0 12.494 1.45394 13.4348 1.56343 1.0694 10.775 0.227211 12.5657 0.388044 2.2056 1.3 4.4111 2.7328 0.781 0.218 -42.1 3 0.029 0 0 3 0 1 0 -99.0 -116057 9751.679 6397.74 34.1864587 -5.1149551 0.979888 0.0239831 1.0 1.37332 0.0121594 1.0 1.49484 0.0299683 0.932 1.98431 0.0152048 1.0 3.31307 0.0442972 1.044 3.43535 0.0192314 1.0 4.33124 0.0225244 1.0 4.57187 0.051554 0.95 4.47726 0.0659082 0.891 5.59441 0.0743412 1.115 5.55498 0.0702868 1.061 4.85759 0.044723 1.0 5.44295 0.0792258 1.012 6.21904 0.117884 1.125 7.29028 0.119785 1.138 6.96607 0.0651421 0.925 8.51317 0.113921 0.927 9.19663 0.325864 1.013 0.22772 1.23806 inf 10.7119 0.346817 1.05 9.96372 0.0808913 0.898 0.192386 1.13488 inf 7.03993 0.270982 1.031 5.66486 0.350832 1.607 8.65986 1.97446 1.228 5.60464 1.85351 2.163 24.559 1.67538 25.821 1.76148 1.0456 19.3063 0.227273 24.162 0.388094 2.5032 1.3 5.0063 2.5915 0.785 0.334 12.7 0 0.091 0 0 0 0 1 0 0.5476 -20664 5605.679 1630.689 34.4968257 -5.4704121 -99.0 -99.0 0.0 0.267297 0.0112218 1.0 0.509125 0.0219551 0.733 1.1219 0.014641 1.0 2.2965 0.0392611 0.708 2.85924 0.0189404 1.0 6.51395 0.0234315 1.0 6.70362 0.0594088 0.747 8.05133 0.0761698 0.922 10.3142 0.0745688 1.029 10.3319 0.0829507 0.821 9.63037 0.0457235 1.0 10.8304 0.0919952 0.77 13.2042 0.12933 0.731 14.2918 0.120049 0.866 18.3075 0.0658423 0.955 27.1704 0.114543 0.941 25.8773 0.326182 0.959 -99.0 -99.0 0.0 35.3367 0.347092 0.969 35.3643 0.0814124 1.003 -99.0 -99.0 0.0 33.2153 0.584371 1.026 20.6571 0.527297 1.294 20.7546 2.48296 1.204 7.84562 2.68657 1.234 66.4359 1.51681 70.8918 1.61854 1.0612 58.6429 0.227561 67.5515 0.38828 2.2904 1.3 4.5809 2.0046 0.61 0.134 -74.71 0 0.598 0 0 0 0 1 0 -99.0 -60766 4935.496 3597.532 34.546997 -5.3237715 0.203338 0.0188912 1.0 0.403738 0.0113416 1.0 0.44619 0.0213415 1.036 0.597281 0.0142871 1.0 0.653061 0.0293453 0.894 0.708591 0.0178118 1.0 0.742999 0.020948 1.0 0.720631 0.0329116 0.993 -99.0 -99.0 0.0 0.959895 0.074117 0.74 0.854658 0.0550526 1.052 0.895494 0.0438751 1.0 -99.0 -99.0 0.0 0.821129 0.108213 0.973 0.921635 0.119543 0.781 1.33767 0.0647918 1.127 2.28223 0.113713 1.081 1.93766 0.325725 0.819 -99.0 -99.0 0.0 1.51625 0.346715 0.743 2.48123 0.0807371 1.118 -99.0 -99.0 0.0 2.20102 0.241722 1.744 3.14778 0.425811 0.901 3.21046 1.88461 2.135 2.71581 2.60728 1.204 4.87005 1.24244 5.40702 1.37943 1.1041 4.49005 0.227165 5.18974 0.388012 1.9167 1.3 3.8335 2.1792 0.636 0.234 -74.49 0 0.332 0 0 0 0 1 0 -99.0 -199593 8855.044 10553.726 34.2536689 -4.8051316 0.289217 0.0193369 1.0 0.305304 0.0112553 1.0 0.343902 0.0203048 1.197 0.353878 0.0141199 1.0 0.50826 0.0283056 1.178 0.461692 0.0176776 1.0 0.816841 0.0209816 1.0 0.915115 0.0340983 1.104 -99.0 -99.0 0.0 1.41641 0.0741391 1.007 1.40608 0.0570508 0.951 1.25963 0.0439537 1.0 -99.0 -99.0 0.0 1.67072 0.109792 1.075 1.82759 0.119578 0.992 1.80488 0.0648209 0.717 2.132 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0.325738 0.91 -99.0 -99.0 0.0 3.18727 0.346733 0.796 3.47357 0.0807576 1.055 -99.0 -99.0 0.0 3.59942 0.287548 1.521 2.51184 0.411938 1.828 4.8198 2.59292 1.209 3.82531 2.31919 2.127 5.91 1.13909 6.69647 1.29068 1.1268 5.6349 0.227173 6.49311 0.388018 1.7737 1.3 3.5475 1.9278 0.558 0.038 83.62 3 0.28 0 0 3 0 1 0 -99.0 -170410 10486.007 9062.832 34.1315916 -4.9162365 0.113657 0.0182935 1.0 0.237015 0.011195 1.0 0.358084 0.0204517 1.154 0.551282 0.0142557 1.0 1.18939 0.0329113 1.122 1.427 0.0181966 1.0 2.24996 0.021624 1.0 2.41889 0.0421608 1.069 2.62868 0.059915 0.91 3.27207 0.0742289 1.194 3.51302 0.0641149 1.053 3.02203 0.0443322 1.0 3.49825 0.0740778 0.79 4.05315 0.114102 1.008 4.28531 0.119671 1.111 5.21234 0.0650331 0.933 7.47293 0.113886 1.016 7.0743 0.325823 1.169 -99.0 -99.0 0.0 8.17532 0.346789 1.161 8.61023 0.0808634 1.045 -99.0 -99.0 0.0 7.34546 0.307743 1.544 5.70553 0.414143 2.124 4.75751 2.40326 1.209 1.2871 2.24521 2.422 18.8711 1.93085 19.5129 1.99652 1.0283 13.9661 0.227234 17.2559 0.388064 2.8413 1.3 5.6827 2.2662 0.713 0.281 42.37 3 0.086 0 0 3 0 1 0 -99.0 -209981 4920.05 11113.089 34.5480683 -4.7634504 1.12552 0.0253508 1.0 1.32643 0.0121211 1.0 1.73051 0.0315844 1.178 2.50056 0.0155325 1.0 3.29249 0.0442009 1.202 3.36098 0.0191941 1.0 4.05419 0.0224066 1.0 4.02569 0.0493406 1.222 4.12254 0.0648012 1.115 5.39319 0.0743315 0.986 5.49429 0.0701112 1.201 4.90344 0.0447327 1.0 5.02949 0.0781597 1.142 5.38695 0.116446 1.294 5.45308 0.119715 0.904 6.0293 0.0650839 1.273 6.55465 0.113856 1.177 6.37746 0.32581 0.916 -99.0 -99.0 0.0 7.98411 0.346787 0.905 7.71839 0.080845 1.145 -99.0 -99.0 0.0 4.51246 0.293818 1.083 3.38656 0.398856 2.113 5.4957 2.30711 1.204 5.70335 2.09867 2.468 14.5537 1.34421 15.8868 1.46734 1.0856 13.1649 0.227228 15.3231 0.388056 2.0563 1.3 4.1126 2.0583 0.621 0.162 -5.34 0 0.291 0 0 0 0 1 0 -99.0 -28853 2972.758 2045.907 34.6940053 -5.4394095 0.281923 0.0174316 1.0 -99.0 -99.0 0.0 0.8677 0.0251671 0.811 -99.0 -99.0 0.0 1.59209 0.0353532 0.642 -99.0 -99.0 0.0 -99.0 -99.0 0.0 1.8689 0.0394038 0.844 1.75804 0.056874 1.07 2.18403 0.0741763 0.68 2.02074 0.0591988 0.879 -99.0 -99.0 0.0 2.07718 0.0700772 0.904 2.45353 0.111227 0.854 2.59075 0.119607 0.762 2.96183 0.0648931 1.021 4.9281 0.113801 1.018 4.05825 0.325765 0.721 -99.0 -99.0 0.0 5.22434 0.346756 0.665 5.66754 0.0808028 1.017 -99.0 -99.0 0.0 7.8722 0.203687 1.405 8.08022 0.274064 1.293 10.0389 1.43052 1.268 6.98922 1.60923 1.227 20.2399 1.81941 21.0626 1.89336 1.0349 15.6207 0.227246 19.7958 0.388075 2.6944 1.3 5.3889 3.7164 0.978 0.375 -5.2 3 0.029 0 0 3 0 1 0 -99.0 -218989 5136.499 11542.504 34.5318712 -4.7314385 0.14774 0.0180481 1.0 0.349584 0.0112942 1.0 0.564456 0.0224807 1.04 1.06358 0.0146021 1.0 1.73584 0.036185 0.92 1.83232 0.0184101 1.0 2.42038 0.0216992 1.0 2.58319 0.0429501 1.186 2.67672 0.0600783 1.063 3.18406 0.0742247 1.039 3.29231 0.0634118 1.135 2.7666 0.0442775 1.0 3.33253 0.0736225 1.293 3.71043 0.113492 1.242 3.95346 0.119658 0.95 4.2115 0.0649709 1.309 5.39006 0.113817 1.203 5.52085 0.325793 0.98 -99.0 -99.0 0.0 6.45673 0.34677 0.972 6.2815 0.0808154 1.17 -99.0 -99.0 0.0 4.41912 0.356272 1.348 3.66336 0.524262 1.073 0.74957 2.47089 1.64 -0.861137 3.01643 1.193 9.56606 0.714996 12.3643 0.924145 1.2854 9.56606 0.227202 9.56606 0.388031 1.1703 1.3 2.3406 1.9684 0.522 0.603 19.08 3 1.0 0 0 3 0 1 0 -99.0 -40617 253.385 2643.9 34.8976244 -5.3947126 0.734691 0.0215362 1.0 -99.0 -99.0 0.0 3.89136 0.0436999 0.501 -99.0 -99.0 0.0 17.3725 0.0882158 0.541 -99.0 -99.0 0.0 -99.0 -99.0 0.0 33.3232 0.120055 0.673 38.6846 0.13527 0.586 46.0066 0.0762681 0.95 47.6503 0.148462 0.733 -99.0 -99.0 0.0 50.0967 0.1562 0.557 55.7019 0.184231 0.707 58.9593 0.121724 0.952 77.2021 0.0693649 0.588 106.133 0.11714 0.492 104.462 0.327678 0.996 -99.0 -99.0 0.0 126.137 0.348103 0.895 132.22 0.0833695 0.44 -99.0 -99.0 0.0 75.8009 1.15524 1.087 59.5867 0.957154 0.634 51.5023 1.95993 0.819 -99.0 -99.0 0.0 518.938 2.73852 523.803 2.76419 1.0038 326.581 0.229513 462.131 0.389968 3.8814 1.3 7.7628 3.9616 1.168 0.056 15.91 2 0.026 0 0 2 0 1 0 -99.0 -177372 4641.992 9390.907 34.5688942 -4.8918423 0.0760723 0.0173279 1.0 0.122862 0.0110935 1.0 0.144733 0.0181167 1.321 0.1462 0.0139757 1.0 -99.0 -99.0 0.0 -99.0 -99.0 0.0 0.352357 0.0207691 1.0 -99.0 -99.0 0.0 -99.0 -99.0 0.0 0.574357 0.0740983 1.224 -99.0 -99.0 0.0 0.551846 0.0438008 1.0 -99.0 -99.0 0.0 -99.0 -99.0 0.0 0.726262 0.119536 1.202 1.62197 0.0648095 1.377 2.3521 0.113715 1.298 2.57416 0.325737 1.237 -99.0 -99.0 0.0 3.51128 0.346737 1.231 3.44224 0.0807569 1.227 -99.0 -99.0 0.0 6.59693 0.366452 0.773 6.75722 0.483582 0.737 0.938287 2.65662 0.932 8.51073 3.35909 0.806 6.34581 1.19483 7.10895 1.33851 1.1141 5.91546 0.227175 7.41036 0.388022 1.851 1.3 3.702 2.0652 0.611 0.105 7.21 3 0.129 0 0 3 0 1 0 -99.0 -102255 211.7 5720.724 34.9005851 -5.1653258 1.2769 0.026202 1.0 2.26011 0.0128619 1.0 3.20137 0.0402298 0.849 5.8358 0.0175026 1.0 8.86681 0.0652776 0.859 9.73368 0.0221657 1.0 13.4806 0.0261168 1.0 14.4203 0.0817586 0.893 16.0341 0.0951746 0.797 20.2544 0.0750459 0.888 21.5938 0.107032 0.908 19.4064 0.0477074 1.0 20.1569 0.110671 0.739 23.7714 0.144937 0.991 24.6722 0.120441 0.863 32.5572 0.0667117 0.379 46.4621 0.115183 0.363 45.4823 0.326556 0.871 -99.0 -99.0 0.0 61.9407 0.347389 0.922 60.6252 0.0819273 0.29 -99.0 -99.0 0.0 33.6843 0.563812 1.816 32.7132 0.620599 1.44 25.0368 1.89627 1.931 61.7741 2.60648 1.128 126.705 1.54532 134.82 1.6443 1.0582 111.937 0.227951 128.426 0.388541 2.3288 1.3 4.6575 2.2238 0.677 0.164 -60.56 2 0.465 0 0 2 0 1 0 -99.0 -103902 5457.423 5777.071 34.5079016 -5.1612808 0.00394728 0.0169024 1.0 0.0125763 0.0109945 1.0 0.0210297 0.0166132 1.319 0.0288142 0.0138935 1.0 0.0247953 0.0245169 1.192 0.0587694 0.0174564 1.0 0.110834 0.0206578 1.0 0.103199 0.0288224 1.109 0.169136 0.0508576 1.128 0.0634782 0.0740736 1.047 0.19152 0.052549 1.222 0.0781063 0.0436981 1.0 0.120273 0.0641611 1.122 0.159676 0.106968 1.099 0.232006 0.119517 0.988 0.781108 0.064757 1.048 2.73661 0.113728 1.036 2.88092 0.325743 1.076 -99.0 -99.0 0.0 4.46383 0.346748 1.102 4.41748 0.080777 1.045 -99.0 -99.0 0.0 7.53152 0.351179 0.889 7.1402 0.479838 0.896 7.30039 2.44398 1.172 6.84011 2.9989 1.143 7.66227 1.15719 8.64974 1.30632 1.1227 7.1602 0.227184 8.24583 0.388026 1.7989 1.3 3.5977 1.9581 0.568 0.142 78.32 0 0.705 0 0 0 0 1 0 -99.0 -11187 10676.592 1130.368 34.1170237 -5.5076212 0.56582 0.021249 1.0 -99.0 -99.0 0.0 0.658418 0.0233462 0.058 -99.0 -99.0 0.0 -99.0 -99.0 0.0 -99.0 -99.0 0.0 -99.0 -99.0 0.0 1.6377 0.0381855 0.175 -99.0 -99.0 0.0 1.79015 0.0741572 1.028 1.77545 0.0583511 0.295 -99.0 -99.0 0.0 1.6695 0.0688866 0.238 1.57096 0.109608 0.182 1.8328 0.119578 0.87 1.91371 0.0648277 1.157 2.09763 0.113707 1.129 1.69417 0.32572 0.88 -99.0 -99.0 0.0 2.87154 0.34673 0.948 2.22442 0.0807318 1.212 -99.0 -99.0 0.0 1.11476 0.410767 0.341 0.947225 0.533933 0.471 -99.0 -99.0 0.0 -99.0 -99.0 0.0 4.30319 1.18514 4.83016 1.33027 1.1163 4.18795 0.227162 3.91334 0.388007 1.8376 1.3 3.6752 2.1714 0.632 0.037 47.84 0 0.032 0 0 0 0 1 0 -99.0 -35187 9106.19 2324.241 34.2346732 -5.4186695 0.104652 0.0178165 1.0 0.220872 0.0111807 1.0 0.25926 0.0194051 0.586 0.324555 0.0140996 1.0 0.331748 0.0269841 0.657 0.316039 0.017598 1.0 0.409804 0.0207955 1.0 0.376268 0.0306982 0.698 0.42063 0.0518564 0.759 0.578536 0.0740985 0.729 0.457902 0.0535687 0.735 0.441002 0.0437768 1.0 0.560164 0.0655376 0.77 0.542548 0.107691 0.667 0.667949 0.119534 0.673 1.05754 0.0647743 1.33 1.46515 0.113685 1.359 1.87383 0.325724 0.876 -99.0 -99.0 0.0 1.60657 0.346716 0.794 2.02902 0.0807278 1.289 -99.0 -99.0 0.0 1.51613 0.305544 0.869 1.60546 0.395065 1.426 7.61449 2.61079 0.899 2.20531 2.42088 1.656 3.6543 1.11508 4.16159 1.26987 1.1325 3.51154 0.227158 4.15889 0.388008 1.7403 1.3 3.4806 2.051 0.597 0.097 -38.72 0 0.114 0 0 0 0 1 0 -99.0 -25859 431.219 1900.039 34.8843454 -5.4501779 0.208856 0.0173259 1.0 -99.0 -99.0 0.0 0.208835 0.0188487 0.654 -99.0 -99.0 0.0 0.331718 0.0269838 0.673 -99.0 -99.0 0.0 -99.0 -99.0 0.0 0.506572 0.031554 0.82 0.541358 0.0523291 0.882 0.658554 0.0741024 1.167 0.734958 0.0546092 0.749 -99.0 -99.0 0.0 0.741158 0.0660956 0.605 0.88379 0.108331 0.705 0.931733 0.119544 1.052 1.97548 0.0648316 0.896 2.82789 0.113731 0.891 3.09469 0.325747 1.031 -99.0 -99.0 0.0 3.86982 0.346741 1.069 4.05193 0.0807695 0.872 -99.0 -99.0 0.0 5.33645 0.246826 0.782 4.20887 0.427636 0.418 8.919 2.58566 0.367 -99.0 -99.0 0.0 12.6551 1.73473 13.2442 1.81549 1.0408 9.77913 0.227203 12.2401 0.388043 2.5822 1.3 5.1644 3.2686 0.921 0.264 69.03 1 0.029 0 0 1 0 1 0 -99.0 -154075 5054.696 8238.04 34.5380243 -4.9777989 -99.0 -99.0 0.0 -99.0 -99.0 0.0 -99.0 -99.0 0.0 -99.0 -99.0 0.0 -99.0 -99.0 0.0 0.356758 0.0176203 1.0 0.920813 0.0210289 1.0 -99.0 -99.0 0.0 -99.0 -99.0 0.0 -99.0 -99.0 0.0 -99.0 -99.0 0.0 1.40473 0.043985 1.0 -99.0 -99.0 0.0 -99.0 -99.0 0.0 -99.0 -99.0 0.0 3.32843 0.0649159 1.266 4.81879 0.113798 1.203 -99.0 -99.0 0.0 -99.0 -99.0 0.0 6.31209 0.346768 1.155 6.94902 0.0808292 1.215 -99.0 -99.0 0.0 13.1129 0.407174 0.609 11.458 0.446971 1.123 18.9663 2.874 0.808 17.6468 2.51332 1.4 15.6972 1.3104 17.2207 1.43758 1.091 14.2707 0.227236 16.3416 0.38806 2.0101 1.3 4.0201 2.4781 0.716 0.262 -65.29 3 0.038 0 0 3 0 1 0 -99.0 -106857 11320.592 5960.553 34.0690043 -5.1474904 0.265903 0.0189405 1.0 0.361233 0.0113044 1.0 0.468796 0.0215639 0.864 0.708689 0.014363 1.0 1.28659 0.033517 0.983 1.45197 0.0182098 1.0 3.05386 0.0219762 1.0 3.34195 0.0464213 0.907 4.43234 0.065769 0.89 7.02061 0.07441 1.023 6.97316 0.0742722 0.829 6.34062 0.0450362 1.0 -99.0 -99.0 0.0 9.75951 0.123818 0.974 10.2255 0.119896 0.985 15.4924 0.0656692 1.112 25.0669 0.114473 1.059 25.1779 0.326169 0.921 0.348912 1.23807 inf 40.3689 0.347148 1.052 41.7266 0.0815424 1.084 0.406661 1.13493 inf 61.0381 0.946333 1.51 52.3495 0.893499 0.732 39.3616 1.88109 1.608 37.4877 2.74479 0.8 106.898 1.91922 110.596 1.98562 1.0289 84.9454 0.227754 104.122 0.388437 2.826 1.3 5.6519 2.6505 0.806 0.152 -45.6 2 0.028 0 0 2 0 1 0 -99.0 -195061 5022.884 10324.977 34.5403833 -4.8222079 0.277551 0.0190339 1.0 0.333431 0.01128 1.0 0.387414 0.0207522 1.329 0.4916 0.0142148 1.0 0.626538 0.0291576 1.314 0.628648 0.0177685 1.0 0.753302 0.0209527 1.0 0.796532 0.0333798 1.176 0.839416 0.0534782 1.173 1.16305 0.0741268 0.944 -99.0 -99.0 0.0 1.17321 0.043935 1.0 1.25797 0.0676636 1.047 -99.0 -99.0 0.0 1.57055 0.119568 0.884 3.76624 0.0649432 1.259 7.12803 0.113875 1.175 6.84117 0.325819 0.883 -99.0 -99.0 0.0 12.3569 0.346836 0.885 12.7544 0.0809487 1.126 -99.0 -99.0 0.0 21.7473 0.422415 1.203 32.1946 0.655993 1.047 68.2729 2.42187 1.343 154.548 3.60523 1.066 25.426 1.48679 27.2284 1.59218 1.065 22.3448 0.227296 25.7611 0.388101 2.25 1.3 4.4999 2.1348 0.649 0.12 -61.25 0 0.072 0 0 0 0 1 0 -99.0 -234421 1523.641 12294.404 34.8021104 -4.6752999 0.169943 0.0190644 1.0 -99.0 -99.0 0.0 0.40765 0.0209569 0.925 -99.0 -99.0 0.0 0.523874 0.0284195 0.904 -99.0 -99.0 0.0 -99.0 -99.0 0.0 0.567209 0.0319444 1.104 0.572736 0.0524513 0.902 0.692429 0.074104 0.913 0.690861 0.0544449 1.137 -99.0 -99.0 0.0 0.681647 0.0659126 1.103 0.714197 0.108013 1.195 0.656432 0.119533 1.02 1.08946 0.0647763 1.227 1.61078 0.11369 1.128 1.29333 0.325713 1.09 -99.0 -99.0 0.0 1.64704 0.346716 1.011 2.29132 0.0807332 1.102 -99.0 -99.0 0.0 1.86808 0.492702 0.325 3.26223 0.639408 0.333 -99.0 -99.0 0.0 -99.0 -99.0 0.0 3.98251 1.18159 4.47343 1.32725 1.1171 3.7505 0.227159 4.11831 0.388008 1.8327 1.3 3.6654 1.9523 0.567 0.044 -87.95 0 0.089 0 0 0 0 1 0 -99.0 -143429 4862.564 7755.358 34.5524087 -5.0137833 -99.0 -99.0 0.0 -99.0 -99.0 0.0 -99.0 -99.0 0.0 -99.0 -99.0 0.0 0.804027 0.0303914 0.951 -99.0 -99.0 0.0 -99.0 -99.0 0.0 -99.0 -99.0 0.0 2.44469 0.0592854 1.041 -99.0 -99.0 0.0 3.74515 0.0648461 1.163 -99.0 -99.0 0.0 4.19489 0.0759621 1.211 5.09897 0.115944 1.197 5.52648 0.119718 0.991 7.69427 0.0651873 1.219 11.1819 0.11401 1.17 10.6324 0.325891 1.225 -99.0 -99.0 0.0 15.9929 0.346876 1.136 16.3543 0.0810227 1.174 -99.0 -99.0 0.0 22.0385 0.431478 1.27 17.8881 0.566305 0.612 11.5607 1.81281 1.616 8.99983 2.70457 0.81 38.3395 1.72855 40.1412 1.80977 1.0412 31.4647 0.227362 37.8966 0.388153 2.5739 1.3 5.1479 2.4545 0.751 0.153 -16.44 3 0.031 0 0 3 0 1 0 -99.0 -83613 9541.95 4795.77 34.2021112 -5.2343957 -99.0 -99.0 0.0 0.216473 0.0111768 1.0 0.237956 0.019172 0.883 0.239735 0.0140408 1.0 0.321515 0.0269055 1.091 0.339311 0.0176107 1.0 0.522448 0.0208472 1.0 0.559417 0.0318945 0.833 -99.0 -99.0 0.0 0.801374 0.0741093 1.069 0.752932 0.054676 0.852 0.763574 0.0438466 1.0 -99.0 -99.0 0.0 1.14157 0.108812 0.973 1.70247 0.119573 0.955 2.95106 0.0648924 1.032 5.55796 0.113822 1.003 5.07345 0.325785 0.957 0.0671153 1.23804 inf 7.25095 0.346779 0.988 7.96746 0.0808502 1.006 -99.0 -99.0 0.0 13.4174 0.330824 1.159 15.9722 0.492647 0.77 12.2578 1.98946 1.619 8.1773 2.8403 0.804 17.2921 1.42709 18.6572 1.53975 1.073 15.1454 0.227243 17.7613 0.388066 2.1691 1.3 4.3383 2.3417 0.694 0.144 30.9 2 0.031 0 0 2 0 1 0 -99.0 -210547 9638.529 11153.979 34.1950691 -4.7603618 1.1835 0.0260259 1.0 1.22188 0.0120353 1.0 1.57988 0.0305614 0.964 1.49722 0.014889 1.0 2.51543 0.0403988 1.134 1.90608 0.0184487 1.0 2.85604 0.02189 1.0 -99.0 -99.0 0.0 -99.0 -99.0 0.0 5.7628 0.0743493 1.046 5.85207 0.0711402 0.965 4.10381 0.0445629 1.0 -99.0 -99.0 0.0 -99.0 -99.0 0.0 6.66899 0.119761 1.149 6.5772 0.0651179 0.928 7.96138 0.113903 0.987 -99.0 -99.0 0.0 -99.0 -99.0 0.0 9.8673 0.346808 0.953 10.3413 0.080899 0.972 -99.0 -99.0 0.0 16.1234 0.356532 1.483 13.4951 0.41473 2.309 11.5852 2.42053 1.119 9.64313 2.17031 2.467 25.6888 2.42735 26.0899 2.46526 1.01 17.6055 0.227261 22.0321 0.388085 3.4855 1.3 6.9709 2.5229 0.822 0.287 -44.03 3 0.042 0 0 3 0 1 0 -99.0 -86476 1571.244 4947.149 34.7988465 -5.2230625 0.521851 0.0208868 1.0 0.715211 0.0116106 1.0 0.729314 0.0239785 0.896 0.800442 0.0144252 1.0 0.887863 0.0309571 0.938 0.918822 0.0179252 1.0 1.20771 0.0211588 1.0 1.23633 0.0359726 1.062 1.28563 0.0551538 1.032 1.56971 0.0741465 0.875 1.5975 0.0577283 1.034 1.57114 0.0440208 1.0 1.59336 0.068662 1.083 2.02898 0.110451 1.069 2.68149 0.11961 1.036 3.43931 0.0649228 0.969 5.28445 0.113813 0.926 4.84564 0.32578 0.895 -99.0 -99.0 0.0 5.84711 0.346763 0.89 5.74578 0.0808044 0.961 -99.0 -99.0 0.0 8.12134 0.292717 1.294 8.19444 0.417899 1.071 7.34029 1.9493 1.625 4.61541 2.79679 0.898 12.6499 1.52477 13.4875 1.62573 1.0603 10.6168 0.22721 12.604 0.388044 2.3012 1.3 4.6025 2.3474 0.705 0.316 -13.25 0 0.048 0 0 0 0 1 0 -99.0 -166574 934.482 8897.287 34.846335 -4.9285373 2.78615 0.0321879 1.0 5.72502 0.0153005 1.0 7.81596 0.0597183 0.846 11.1295 0.0202395 1.0 15.6188 0.0840007 0.853 15.7825 0.0246572 1.0 20.6578 0.028621 1.0 21.7805 0.0984571 0.915 -99.0 -99.0 0.0 27.4235 0.0753881 0.868 -99.0 -99.0 0.0 25.2098 0.048847 1.0 -99.0 -99.0 0.0 -99.0 -99.0 0.0 33.3 0.120765 0.987 39.7225 0.0671445 1.108 50.4005 0.115313 1.099 49.4967 0.326632 1.027 -99.0 -99.0 0.0 52.8658 0.347287 0.951 49.7107 0.0817052 1.035 -99.0 -99.0 0.0 27.8788 0.455553 1.343 19.8706 0.431079 1.156 15.9951 1.47716 1.19 40.2563 1.76206 1.22 232.087 2.82255 233.989 2.84569 1.0026 129.03 0.228076 189.917 0.388804 3.9878 1.3 7.9756 4.707 1.342 0.553 -68.56 2 0.029 0 0 2 0 1 0 -99.0 -237614 11208.382 12355.722 34.0776803 -4.6707178 0.188034 0.0179689 1.0 -99.0 -99.0 0.0 0.382222 0.0206993 0.947 -99.0 -99.0 0.0 0.599896 0.0289679 1.068 -99.0 -99.0 0.0 -99.0 -99.0 0.0 0.648311 0.0324593 0.949 0.600815 0.0525604 0.997 0.775053 0.074108 1.07 0.781188 0.0547808 0.932 -99.0 -99.0 0.0 0.746855 0.066113 0.817 0.860814 0.108288 0.987 0.913281 0.119543 1.162 1.02393 0.0647722 0.922 1.61939 0.113691 0.976 1.74695 0.325721 1.142 -99.0 -99.0 0.0 1.21295 0.346711 1.023 2.04765 0.0807282 0.962 -99.0 -99.0 0.0 2.37603 0.31049 0.564 2.71168 0.363579 1.098 -99.0 -99.0 0.0 1.01169 2.79889 0.846 4.48127 1.33807 4.89609 1.46194 1.0865 4.06935 0.227162 4.98981 0.388012 2.0479 1.3 4.0959 2.3911 0.701 0.343 82.64 0 0.029 0 0 0 0 1 0 -99.0 -25123 5825.973 1840.538 34.480326 -5.4547684 0.619883 0.0229415 1.0 -99.0 -99.0 0.0 0.630793 0.0230951 0.794 -99.0 -99.0 0.0 0.862567 0.0307875 0.743 -99.0 -99.0 0.0 -99.0 -99.0 0.0 1.14524 0.0354511 0.846 1.28454 0.0551498 0.856 1.38819 0.0741377 0.926 1.63425 0.0578575 0.923 -99.0 -99.0 0.0 2.17552 0.0703614 0.733 1.68521 0.109819 0.857 1.498 0.119565 0.861 2.55373 0.0648676 1.0 5.95678 0.113836 0.98 5.86053 0.3258 0.89 -99.0 -99.0 0.0 9.46911 0.346803 0.865 9.31078 0.0808778 1.044 -99.0 -99.0 0.0 14.3872 0.382579 1.24 15.1643 0.513819 0.987 17.8232 2.67778 1.168 21.2357 3.53292 0.795 16.8249 1.32087 18.4285 1.44676 1.0893 15.1074 0.227243 17.8378 0.388067 2.0244 1.3 4.0488 1.9793 0.586 0.1 -80.26 3 0.571 0 0 3 0 1 0 -99.0 -215928 5744.233 11399.81 34.4864078 -4.7420806 0.0568502 0.0174207 1.0 0.099415 0.0110725 1.0 0.143561 0.0181031 0.93 0.18654 0.0140038 1.0 0.215192 0.0260748 1.113 0.188404 0.0175279 1.0 0.279824 0.0207358 1.0 0.335247 0.0304238 1.22 0.367546 0.0516472 0.986 0.517219 0.0740955 1.096 0.586716 0.054055 1.045 0.498968 0.0437893 1.0 0.652933 0.0658242 1.284 0.60173 0.107802 1.256 0.731252 0.119536 1.011 1.68864 0.0648137 1.368 3.10195 0.11374 1.27 3.13992 0.325748 1.097 -99.0 -99.0 0.0 6.17117 0.346767 1.006 6.60158 0.080822 1.23 -99.0 -99.0 0.0 11.9462 0.333509 1.117 15.7343 0.494588 0.832 17.1017 2.57033 0.834 18.7157 2.99419 0.802 12.642 1.3135 13.8618 1.44024 1.0904 11.6907 0.227217 13.0353 0.388046 2.0143 1.3 4.0286 2.0998 0.626 0.03 -77.62 0 0.036 0 0 0 0 1 0 -99.0 -224261 4754.263 11801.74 34.5604625 -4.7121079 0.767148 0.0227572 1.0 0.807723 0.0116893 1.0 0.96343 0.0259575 1.092 1.23024 0.014713 1.0 1.70749 0.0360225 1.162 1.66319 0.0183213 1.0 1.8936 0.0214661 1.0 -99.0 -99.0 0.0 1.91332 0.0574282 1.089 -99.0 -99.0 0.0 2.14943 0.0596387 1.111 2.04088 0.0441219 1.0 2.10752 0.070165 1.226 2.69054 0.111658 1.155 -99.0 -99.0 0.0 2.37704 0.0648566 1.255 2.62057 0.113724 1.16 2.32927 0.325732 1.751 -99.0 -99.0 0.0 2.63432 0.346727 1.731 2.7607 0.0807429 1.129 -99.0 -99.0 0.0 1.65384 0.264106 1.23 1.22605 0.378358 1.48 -0.557089 2.29578 1.189 1.90061 2.45267 1.216 5.49862 1.2705 6.07465 1.4036 1.0987 5.00861 0.227169 5.86639 0.388015 1.9553 1.3 3.9107 2.2004 0.647 0.138 38.09 0 0.029 0 0 0 0 1 0 -99.0 -65090 625.756 3813.968 34.8696836 -5.3075014 -99.0 -99.0 0.0 -99.0 -99.0 0.0 0.961786 0.0259441 0.923 -99.0 -99.0 0.0 0.996467 0.0316748 1.041 -99.0 -99.0 0.0 -99.0 -99.0 0.0 1.02995 0.0347799 0.986 1.13554 0.054596 1.009 1.07593 0.0741226 1.206 1.04753 0.0557597 0.989 -99.0 -99.0 0.0 1.0648 0.0670818 0.855 1.36475 0.109226 0.911 1.59012 0.119569 1.12 1.74749 0.0648174 0.786 1.77247 0.113696 0.802 1.65464 0.32572 1.238 -99.0 -99.0 0.0 2.12081 0.346721 1.181 1.93201 0.0807258 0.758 -99.0 -99.0 0.0 2.38047 0.250165 1.209 2.03589 0.387294 1.086 4.47729 2.28424 0.982 5.09699 2.63413 0.77 4.31333 1.18929 4.83747 1.3338 1.1153 3.95091 0.227161 4.87791 0.388011 1.8434 1.3 3.6867 2.5039 0.718 0.247 -67.79 3 0.027 0 0 3 0 1 0 -99.0 -107466 9985.678 5958.271 34.1689291 -5.1477122 0.864905 0.0240524 1.0 -99.0 -99.0 0.0 1.00564 0.0262985 1.006 1.03522 0.0145831 1.0 1.25768 0.033338 1.076 1.22618 0.0180898 1.0 1.38307 0.0212378 1.0 1.48653 0.0373674 0.872 1.51103 0.0559812 0.999 2.0892 0.0741717 1.119 2.1598 0.059674 1.02 2.00653 0.0441145 1.0 2.27867 0.0706582 0.853 2.8681 0.111979 0.929 3.02371 0.119623 1.053 3.68688 0.0649382 0.903 4.4214 0.113784 0.876 4.07485 0.325766 1.013 0.070971 1.23804 inf 4.28716 0.346746 1.04 4.76381 0.0807842 0.884 0.150521 1.13487 inf 5.76544 0.314859 0.943 4.95531 0.424612 1.038 2.92776 2.52063 1.034 -1.36835 2.7393 1.162 9.58625 1.42601 10.3445 1.53879 1.0731 8.12397 0.227191 10.037 0.388033 2.1677 1.3 4.3354 2.1715 0.656 0.274 -71.94 2 0.121 0 0 2 0 1 0 -99.0 -91920 9853.012 5225.167 34.1788368 -5.2023727 0.796191 0.0233495 1.0 -99.0 -99.0 0.0 1.63734 0.0309556 0.878 -99.0 -99.0 0.0 4.49143 0.0494976 0.987 -99.0 -99.0 0.0 -99.0 -99.0 0.0 -99.0 -99.0 0.0 -99.0 -99.0 0.0 16.9753 0.0748889 1.075 17.5328 0.0990256 0.891 -99.0 -99.0 0.0 -99.0 -99.0 0.0 20.7684 0.140678 0.862 21.8466 0.120334 1.013 27.1366 0.0663823 0.964 37.4248 0.114884 0.942 36.0718 0.326376 0.967 0.41465 1.23808 inf 46.4282 0.347216 1.003 47.6332 0.0816629 0.946 1.17818 1.13509 inf 46.4147 0.762514 0.776 29.5544 0.585723 1.473 35.7143 2.46979 0.834 16.2213 2.38374 1.633 102.742 1.63069 108.433 1.72102 1.0496 86.8348 0.227767 103.154 0.388433 2.4433 1.3 4.8867 2.2764 0.695 0.01 51.98 3 0.071 0 0 3 0 1 0 0.8093 -176813 3731.166 9358.393 34.6370494 -4.894251 -99.0 -99.0 0.0 -99.0 -99.0 0.0 -99.0 -99.0 0.0 0.285606 0.0140727 1.0 -99.0 -99.0 0.0 0.631672 0.0177701 1.0 0.999672 0.0210647 1.0 -99.0 -99.0 0.0 -99.0 -99.0 0.0 -99.0 -99.0 0.0 -99.0 -99.0 0.0 -99.0 -99.0 0.0 -99.0 -99.0 0.0 -99.0 -99.0 0.0 -99.0 -99.0 0.0 1.886 0.064826 1.21 2.14596 0.113708 1.182 -99.0 -99.0 0.0 -99.0 -99.0 0.0 -99.0 -99.0 0.0 2.55107 0.0807385 1.127 -99.0 -99.0 0.0 1.37079 0.417161 0.594 1.94333 0.451191 0.786 4.42926 3.03949 0.805 -1.1152 2.8041 0.803 4.85174 1.15547 5.47893 1.30484 1.123 4.5202 0.227165 4.85449 0.388011 1.7965 1.3 3.593 2.1477 0.624 0.08 -26.73 0 0.035 0 0 0 0 1 0 -99.0 -4975 1809.999 814.231 34.7811311 -5.5311908 -99.0 -99.0 0.0 -99.0 -99.0 0.0 -99.0 -99.0 0.0 -99.0 -99.0 0.0 -99.0 -99.0 0.0 -99.0 -99.0 0.0 -99.0 -99.0 0.0 -99.0 -99.0 0.0 -99.0 -99.0 0.0 -99.0 -99.0 0.0 -99.0 -99.0 0.0 -99.0 -99.0 0.0 -99.0 -99.0 0.0 -99.0 -99.0 0.0 -99.0 -99.0 0.0 1.15708 0.0647805 0.65 1.9513 0.113702 0.631 1.49733 0.325717 0.927 -99.0 -99.0 0.0 2.41015 0.346725 0.959 2.34581 0.0807343 0.689 -99.0 -99.0 0.0 3.98116 0.326131 1.221 5.09335 0.493737 0.818 1.02047 3.79186 0.31 -99.0 -99.0 0.0 3.5476 0.965291 4.19643 1.14183 1.1764 3.53222 0.227158 3.40901 0.388005 1.53 1.3 3.06 1.7889 0.516 0.128 -26.87 0 0.765 0 0 0 0 1 0 -99.0 -138435 4598.349 7486.412 34.5721868 -5.0338313 -99.0 -99.0 0.0 1.75295 0.012465 1.0 1.98581 0.0332467 1.074 2.78516 0.0157103 1.0 4.0452 0.0475951 0.88 4.04894 0.0195367 1.0 4.554 0.0226186 1.0 4.81169 0.0524963 1.125 4.65549 0.0664575 0.858 5.20992 0.0743226 0.978 5.32957 0.0696324 1.065 4.90486 0.044733 1.0 5.48453 0.0793323 1.179 6.3262 0.118068 1.035 5.37251 0.119712 1.337 5.85551 0.0650731 1.177 6.29473 0.113847 1.135 5.49907 0.325793 1.195 -99.0 -99.0 0.0 6.2774 0.346768 1.114 7.04356 0.0808311 1.136 -99.0 -99.0 0.0 3.93575 0.303264 0.567 3.16296 0.364175 1.243 0.444937 2.14584 0.8 1.12757 2.00567 1.625 19.8901 1.50669 21.2473 1.60949 1.0623 16.8595 0.227255 20.2764 0.388077 2.2769 1.3 4.5537 3.0166 0.841 0.175 10.61 3 0.029 0 0 3 0 1 0 -99.0 -171428 7235.083 9088.228 34.3748568 -4.9144146 0.324822 0.0205979 1.0 0.392804 0.0113321 1.0 0.444953 0.0213293 1.185 0.492295 0.0142152 1.0 0.641452 0.0292633 0.834 0.793227 0.0178575 1.0 1.12576 0.0211217 1.0 1.1489 0.0354722 1.108 1.21609 0.0548961 1.147 1.52956 0.0741446 1.167 1.33018 0.0567799 1.193 1.29635 0.0439616 1.0 1.32729 0.0678711 1.084 1.32811 0.109158 1.141 1.39349 0.119561 1.148 1.49401 0.0648015 0.956 1.53729 0.113688 1.031 1.3625 0.325714 1.17 -99.0 -99.0 0.0 1.29174 0.346712 1.114 1.92095 0.0807256 1.009 -99.0 -99.0 0.0 1.5549 0.346528 0.802 1.25641 0.505564 1.0 -0.91277 2.86714 1.052 1.66839 3.16473 0.935 2.7444 0.929311 3.27863 1.11021 1.1881 2.78169 0.227152 2.95978 0.388003 1.479 1.3 2.9579 1.7068 0.476 0.073 20.44 0 0.956 0 0 0 0 1 0 -99.0 -101903 11631.328 5724.85 34.0457334 -5.1650486 -99.0 -99.0 0.0 0.117093 0.0110883 1.0 0.152525 0.0182073 0.831 0.353841 0.0141199 1.0 1.04023 0.0319595 0.916 1.29888 0.0181285 1.0 3.11956 0.0220047 1.0 3.36389 0.0465179 0.892 5.1514 0.0679624 0.87 7.7324 0.0744444 1.02 -99.0 -99.0 0.0 7.31938 0.0452418 1.0 -99.0 -99.0 0.0 11.4911 0.126619 0.884 12.1272 0.119967 0.983 18.2951 0.0658415 1.152 28.6416 0.114592 1.099 28.5437 0.326233 0.912 0.369391 1.23808 inf 41.7769 0.347164 1.054 42.6751 0.0815617 1.132 0.409772 1.13493 inf 55.2958 0.86153 1.588 41.0058 0.723644 1.123 31.1475 1.89566 1.636 18.9748 2.54034 0.972 128.058 2.43907 130.02 2.47646 1.0097 88.3448 0.227778 115.404 0.388485 3.5004 1.3 7.0008 3.0467 0.982 0.246 28.82 3 0.03 0 0 3 0 1 0 -99.0 -168737 1272.716 8952.228 34.8210231 -4.9244559 0.626885 0.020759 1.0 0.680159 0.0115807 1.0 0.706486 0.0237767 1.265 0.758244 0.0143966 1.0 1.01663 0.0318063 1.362 1.08041 0.018012 1.0 1.78569 0.021418 1.0 1.88988 0.0395125 1.115 2.02629 0.057828 1.092 2.33326 0.0741835 0.866 2.52972 0.0609201 1.043 2.18282 0.0441524 1.0 2.63248 0.0716671 1.129 2.35353 0.111045 1.088 2.53085 0.119604 0.879 2.75043 0.0648799 1.159 2.81093 0.11373 1.144 2.79172 0.325741 1.04 -99.0 -99.0 0.0 2.89994 0.34673 0.953 2.96601 0.0807471 1.082 -99.0 -99.0 0.0 3.17679 0.24167 0.975 1.33983 0.405314 1.112 2.75619 1.92258 1.153 2.4997 2.18774 1.195 6.89485 1.33557 7.53583 1.45973 1.0869 6.21665 0.227177 7.01532 0.38802 2.0445 1.3 4.089 2.5407 0.733 0.317 70.29 0 0.029 0 0 0 0 1 0 -99.0 -229361 4735.95 12054.819 34.5618291 -4.6932402 0.736645 0.0225243 1.0 0.812106 0.011693 1.0 0.880667 0.0252756 1.252 0.85472 0.0144618 1.0 1.02293 0.0318473 1.035 1.02173 0.0179805 1.0 1.25641 0.0211807 1.0 1.29825 0.0363228 1.108 1.30913 0.0552406 1.026 1.56931 0.0741465 0.926 1.64455 0.0578936 1.139 1.66849 0.0440418 1.0 1.52537 0.0684608 1.053 2.61455 0.11152 1.192 2.80763 0.119615 1.053 3.54535 0.0649294 1.255 4.80702 0.113797 1.163 4.86798 0.325781 0.958 -99.0 -99.0 0.0 4.42571 0.346747 0.928 5.04399 0.0807899 1.126 -99.0 -99.0 0.0 6.31253 0.277744 1.348 6.99551 0.399417 1.169 3.6174 2.17737 1.225 7.19274 2.63465 1.139 10.3904 1.33329 11.3601 1.45772 1.0873 9.30629 0.2272 10.7182 0.388036 2.0414 1.3 4.0828 2.2522 0.667 0.229 84.43 0 0.032 0 0 0 0 1 0 -99.0 -134125 5780.506 7270.426 34.4837102 -5.0499447 0.0461335 0.0164718 1.0 0.172763 0.011138 1.0 0.274559 0.0195708 0.889 0.520709 0.0142347 1.0 1.22468 0.0331325 0.906 1.46461 0.0182165 1.0 2.78706 0.0218599 1.0 3.00043 0.0448922 0.943 3.42284 0.0625601 1.026 4.42717 0.0742848 1.025 4.79165 0.0680452 1.098 4.28329 0.0446011 1.0 4.91194 0.0778539 1.147 6.12681 0.117726 0.991 6.35018 0.119749 1.01 9.50092 0.0652992 1.305 15.679 0.114161 1.248 14.5048 0.325965 1.086 -99.0 -99.0 0.0 20.233 0.346924 1.077 22.2222 0.0811432 1.245 -99.0 -99.0 0.0 20.5275 0.384215 1.41 15.0287 0.469791 0.647 15.3346 1.86932 1.694 8.14828 2.72427 0.808 50.5436 1.55176 53.746 1.65008 1.0575 43.8511 0.227453 51.1626 0.38821 2.3375 1.3 4.6751 2.4186 0.725 0.26 65.33 0 0.029 0 0 0 0 1 0 -99.0 -29879 3046.638 2063.487 34.6884719 -5.438101 0.412932 0.020382 1.0 0.479731 0.0114079 1.0 0.542712 0.0222756 0.786 0.552253 0.0142563 1.0 0.610595 0.0290442 0.74 0.553428 0.0177276 1.0 0.65225 0.0209066 1.0 0.684692 0.0326876 0.881 0.655016 0.0527703 0.997 0.751893 0.0741069 0.643 0.853162 0.0550471 0.986 0.717 0.0438365 1.0 0.668642 0.0658726 0.945 0.834485 0.108238 0.956 1.25427 0.119556 0.746 1.40429 0.0647959 1.093 1.39361 0.113683 1.051 1.09177 0.325709 0.681 -99.0 -99.0 0.0 1.38091 0.346713 0.611 1.94711 0.0807261 1.034 -99.0 -99.0 0.0 2.12051 0.269342 1.394 2.20766 0.405896 1.268 -1.4905 2.32595 1.226 2.58254 2.54875 1.232 4.05414 1.49924 4.33477 1.60302 1.0633 3.33036 0.227156 4.35304 0.388009 2.2668 1.3 4.5337 2.2263 0.676 0.136 -66.71 0 0.048 0 0 0 0 1 0 -99.0 -9012 7851.684 1036.224 34.3286028 -5.5147201 0.58697 0.0199014 1.0 0.662041 0.0115652 1.0 0.713469 0.0238386 0.449 0.734694 0.0143806 1.0 0.790721 0.0303006 0.623 0.798115 0.0178602 1.0 0.92717 0.0210318 1.0 1.02221 0.0347344 0.617 1.12996 0.0545751 0.926 1.21291 0.0741293 0.713 1.13012 0.0560597 0.636 0.968933 0.0438909 1.0 1.09475 0.0671723 0.733 0.998898 0.108546 0.591 1.87585 0.119579 0.654 1.86224 0.0648245 1.148 2.22156 0.113711 1.165 1.85877 0.325723 0.726 -99.0 -99.0 0.0 1.79971 0.346718 0.756 2.32987 0.080734 1.178 -99.0 -99.0 0.0 3.51625 0.2141 1.416 3.62066 0.289739 2.161 4.87054 1.67756 1.206 3.48552 1.59872 2.374 6.38935 1.51193 6.82117 1.61411 1.0617 5.51395 0.227172 6.89514 0.38802 2.2839 1.3 4.5679 2.9277 0.802 0.491 20.02 3 0.028 0 0 3 0 1 0 -99.0 -97074 5342.339 5489.428 34.5165189 -5.1827253 0.315052 0.0188974 1.0 0.630842 0.0115384 1.0 1.07742 0.0268683 1.182 2.47314 0.0155153 1.0 5.06245 0.0518303 0.929 6.28316 0.02061 1.0 15.3809 0.0268026 1.0 15.754 0.0850282 0.933 -99.0 -99.0 0.0 24.5683 0.075252 1.041 25.0888 0.113471 1.021 23.8992 0.0485919 1.0 -99.0 -99.0 0.0 33.1975 0.15756 1.08 34.7296 0.120818 0.982 47.3542 0.0676026 1.03 73.8978 0.116087 1.017 72.2452 0.327065 1.072 -99.0 -99.0 0.0 102.353 0.347839 1.099 105.451 0.0828332 1.027 -99.0 -99.0 0.0 103.813 1.57647 1.517 65.1766 1.0452 0.986 61.2165 1.90244 2.331 29.3709 2.35351 1.193 254.618 1.83118 264.786 1.9043 1.0342 210.362 0.228669 250.832 0.389065 2.7097 1.3 5.4194 2.511 0.767 0.111 6.26 2 0.017 0 0 2 0 1 0 0.708 +165989 5430.998 8873.943 34.5098584 -4.9303922 1.05935 0.0238671 1.0 1.46205 0.0122315 1.0 1.8434 0.03233 1.09 2.4978 0.0155308 1.0 3.92541 0.0470713 0.922 4.50051 0.0197583 1.0 8.69742 0.0243051 1.0 9.0595 0.0670272 0.991 13.1446 0.0887666 1.021 17.391 0.0749088 0.963 18.1529 0.100289 1.048 17.2482 0.0472766 1.0 21.3353 0.112811 1.184 24.4487 0.145881 1.074 24.8906 0.120449 0.973 38.1595 0.0670504 1.324 59.2243 0.115604 1.259 56.8508 0.326772 1.167 -99.0 -99.0 0.0 88.1779 0.347681 1.099 93.04 0.0825834 1.27 -99.0 -99.0 0.0 137.262 2.07368 0.626 107.463 1.65301 0.829 85.7342 2.47352 0.789 64.3268 2.62805 0.804 261.711 2.21074 267.49 2.25955 1.0164 200.93 0.2286 248.432 0.389055 3.2061 1.3 6.4123 2.875 0.875 0.048 0.19 2 0.047 0 0 2 0 1 0 -99.0 +226012 12085.409 11883.58 34.0120562 -4.7058781 -99.0 -99.0 0.0 -99.0 -99.0 0.0 0.639887 0.0231781 0.874 -99.0 -99.0 0.0 0.831468 0.0305777 0.857 -99.0 -99.0 0.0 -99.0 -99.0 0.0 1.40592 0.0369238 0.904 1.44236 0.0557304 0.903 1.71609 0.0741536 1.272 1.74995 0.0582623 0.888 -99.0 -99.0 0.0 1.64986 0.0688288 0.798 1.7594 0.109956 0.961 1.65195 0.119571 1.244 2.10697 0.0648398 0.642 1.98609 0.113703 0.722 1.59087 0.325718 1.31 -99.0 -99.0 0.0 2.09284 0.346721 1.25 2.1901 0.0807311 0.639 -99.0 -99.0 0.0 1.83061 0.379741 0.528 0.134863 0.483944 0.724 -99.0 -99.0 0.0 -99.0 -99.0 0.0 4.13145 1.16739 4.65416 1.31509 1.1203 3.83412 0.22716 4.47102 0.388009 1.813 1.3 3.626 2.1251 0.616 0.033 48.78 3 0.038 0 0 3 0 1 0 -99.0 +129225 6840.347 7023.954 34.404384 -5.0683198 -0.00145135 0.0168748 1.0 0.037327 0.0110168 1.0 0.0286493 0.0167097 0.838 0.0826573 0.0139312 1.0 0.154104 0.0255853 1.084 0.235625 0.0175539 1.0 0.652381 0.0209066 1.0 0.662121 0.0325462 0.97 0.770038 0.053213 0.961 1.13797 0.0741256 1.48 1.57106 0.0576352 1.03 1.42693 0.0439898 1.0 2.00253 0.0698607 1.146 2.7539 0.111772 1.04 3.07996 0.119625 1.255 5.19444 0.065032 0.681 7.90959 0.113901 0.752 7.28762 0.325827 1.486 0.0016399 1.23803 inf 10.868 0.346819 1.504 12.0847 0.0809349 0.73 0.0997658 1.13486 inf 16.4518 0.42252 0.92 14.9732 0.587245 0.62 10.0154 2.4406 1.213 7.10364 2.76188 1.215 20.8724 1.25371 23.1276 1.38917 1.1019 19.3606 0.227274 22.0213 0.388085 1.9322 1.3 3.8645 1.9138 0.567 0.048 12.57 0 0.752 0 0 0 0 1 0 -99.0 +192897 6196.535 10205.367 34.4525714 -4.8311312 0.572243 0.0204342 1.0 0.586785 0.0115005 1.0 0.639294 0.0231726 1.27 0.623534 0.014305 1.0 0.764145 0.0301186 1.191 0.762149 0.0178408 1.0 0.934317 0.021035 1.0 1.02561 0.0347545 1.133 1.61576 0.0563614 1.161 1.54189 0.0741452 0.992 1.76139 0.0583021 1.269 1.4876 0.0440028 1.0 1.79575 0.0692575 1.317 1.91659 0.110245 1.169 1.80205 0.119577 0.955 2.22159 0.0648469 1.246 2.8389 0.113731 1.181 3.23446 0.32575 0.948 -99.0 -99.0 0.0 2.53634 0.346726 0.908 3.35154 0.0807551 1.032 -99.0 -99.0 0.0 3.79373 0.224451 1.341 2.97742 0.359174 0.819 1.63424 1.70448 1.525 1.17205 2.5871 0.806 8.81276 1.60817 9.31894 1.70053 1.0516 7.18094 0.227184 8.93684 0.388029 2.4133 1.3 4.8266 2.7805 0.811 0.043 78.65 3 0.029 0 0 3 0 1 0 -99.0 +26987 4315.211 1944.679 34.5934699 -5.4469882 1.21867 0.0250286 1.0 1.39213 0.0121747 1.0 1.47858 0.0298536 0.894 1.53411 0.0149131 1.0 1.80725 0.0365912 0.709 1.76537 0.018375 1.0 1.96629 0.0214984 1.0 2.11204 0.0406457 1.006 2.07589 0.0580027 0.933 2.84983 0.0742085 1.394 3.0302 0.0625666 0.957 2.93794 0.0443142 1.0 2.93972 0.0725318 0.778 4.16647 0.114303 0.882 3.74534 0.11965 1.119 5.06265 0.0650238 0.965 6.56295 0.113856 0.949 5.83345 0.325799 1.415 -99.0 -99.0 0.0 5.8286 0.346763 1.398 5.81762 0.0808059 1.018 -99.0 -99.0 0.0 8.75584 0.279587 1.388 10.9535 0.400396 1.133 15.6774 2.33743 0.873 29.3704 2.79897 0.796 13.1825 1.48443 14.1211 1.59012 1.0653 11.5733 0.227217 13.7194 0.388049 2.2468 1.3 4.4936 2.4273 0.713 0.239 -14.55 0 0.03 0 0 0 0 1 0 -99.0 +56761 2199.422 3428.096 34.7518719 -5.3363377 0.0342072 0.0169074 1.0 0.0319115 0.0110119 1.0 0.0287868 0.0167115 0.988 0.0690146 0.0139217 1.0 0.0909067 0.0250688 0.946 0.102976 0.0174808 1.0 0.163941 0.0206823 1.0 0.189742 0.0294298 0.914 0.225642 0.0510837 1.054 0.353754 0.0740876 0.847 0.343348 0.0531326 0.939 0.416991 0.0437716 1.0 0.429592 0.065132 0.903 0.490351 0.107593 0.947 0.561424 0.11953 1.013 2.32848 0.0648536 1.065 3.98743 0.11377 1.092 4.17195 0.325768 0.905 -99.0 -99.0 0.0 5.61702 0.34676 0.854 6.41399 0.0808182 1.085 -99.0 -99.0 0.0 10.466 0.310544 0.927 11.7818 0.389502 1.686 14.582 2.46983 0.799 9.45059 2.07775 1.678 18.5513 1.94247 19.1715 2.00741 1.0277 12.6555 0.227225 17.1021 0.388064 2.8566 1.3 5.7132 2.989 0.955 0.183 -33.49 3 0.036 0 0 3 0 1 0 -99.0 +57459 7823.811 3439.78 34.3307238 -5.3355285 4.58098 0.0432735 1.0 5.58249 0.0152079 1.0 5.71592 0.0517671 0.595 5.61544 0.0173793 1.0 6.33883 0.0566986 0.875 6.08868 0.0205188 1.0 6.42999 0.0233973 1.0 6.56528 0.0589309 0.792 6.79112 0.0727171 0.918 9.08688 0.0745097 0.694 9.46502 0.0808 0.845 8.12217 0.0454097 1.0 7.93376 0.0853673 0.766 8.65359 0.121996 0.892 8.71743 0.119839 0.669 13.3131 0.0655349 1.023 13.1732 0.114077 1.016 13.2216 0.32594 0.862 0.0812708 1.23804 inf 10.451 0.346814 0.756 11.1991 0.0809167 0.979 1.67267 1.13519 inf 12.8285 0.359015 1.264 14.7388 0.56969 0.638 11.3082 2.26962 1.616 16.1358 3.42967 0.818 18.7802 1.26566 20.7654 1.39945 1.0996 17.4024 0.227259 19.65 0.388075 1.9487 1.3 3.8973 1.8542 0.555 0.064 -28.24 0 0.908 0 0 0 0 1 0 -99.0 +100639 6965.311 5661.088 34.3950219 -5.1699282 0.768042 0.0227375 1.0 2.16943 0.0127918 1.0 3.12442 0.039824 0.772 5.8202 0.0174939 1.0 12.4952 0.0759151 0.681 14.5214 0.0241589 1.0 22.4605 0.0292163 1.0 23.583 0.102131 0.772 26.9606 0.116256 0.62 32.0268 0.0756071 1.242 34.2996 0.128908 1.019 31.2444 0.0500044 1.0 35.6994 0.136219 0.809 40.292 0.16643 0.998 41.8075 0.121084 1.096 56.4726 0.0681458 0.939 81.1237 0.116324 0.884 75.4384 0.327126 1.062 -99.0 -99.0 0.0 98.5036 0.347796 1.149 103.177 0.0827875 0.905 -99.0 -99.0 0.0 61.8141 0.96685 0.974 46.8387 0.838123 0.642 37.1148 2.08204 1.513 29.928 2.95441 0.812 238.398 2.06936 244.96 2.12632 1.0219 188.829 0.228512 228.116 0.388968 3.0224 1.3 6.0448 2.3742 0.753 0.084 -78.01 2 0.039 0 0 2 0 1 0 0.4318 +110851 7149.114 6117.525 34.381266 -5.135897 0.207989 0.0187706 1.0 0.269148 0.0112234 1.0 0.28579 0.0196915 1.32 0.290239 0.0140759 1.0 0.346548 0.0270974 1.21 0.340856 0.0176116 1.0 0.41356 0.0207973 1.0 0.405498 0.0308922 1.036 0.430075 0.0518936 0.95 0.350752 0.0740875 1.152 0.469351 0.0536121 1.108 0.526207 0.0437952 1.0 0.544313 0.0654885 1.01 0.887207 0.108337 1.034 0.980007 0.119546 1.151 1.19987 0.0647832 0.84 1.66011 0.113692 0.796 1.60442 0.325719 0.916 -99.0 -99.0 0.0 1.48593 0.346714 1.056 2.05298 0.0807283 0.82 -99.0 -99.0 0.0 2.26431 0.358981 0.62 2.53306 0.444876 1.226 4.1054 2.89506 0.782 5.54203 2.64068 1.586 3.28102 0.96905 3.87712 1.14511 1.1752 3.22737 0.227155 3.62806 0.388006 1.5353 1.3 3.0706 1.8885 0.529 0.153 37.61 0 0.314 0 0 0 0 1 0 -99.0 +92479 1005.091 5222.386 34.841218 -5.2025178 -99.0 -99.0 0.0 0.512714 0.0114365 1.0 -99.0 -99.0 0.0 0.649194 0.0143225 1.0 0.6851 0.0295704 0.926 0.655736 0.0177831 1.0 0.767197 0.020959 1.0 -99.0 -99.0 0.0 0.968454 0.0539681 1.053 1.12182 0.0741248 0.879 1.22032 0.0563856 1.074 0.920164 0.0438804 1.0 1.14724 0.0673307 1.094 -99.0 -99.0 0.0 1.11825 0.119551 0.993 1.9462 0.0648297 0.996 2.51949 0.113721 0.951 2.5583 0.325737 0.912 -99.0 -99.0 0.0 3.35894 0.346735 0.897 3.19041 0.0807517 0.99 -99.0 -99.0 0.0 4.33461 0.286572 1.892 4.36142 0.452923 1.272 8.76926 2.05972 2.025 -0.918518 2.81028 1.143 6.09946 1.2955 6.70888 1.42494 1.0939 5.28292 0.227171 6.60096 0.388019 1.9897 1.3 3.9793 2.1028 0.624 0.196 -46.6 2 0.061 0 0 2 0 1 0 -99.0 +177414 5782.567 9388.459 34.4835478 -4.8920345 1.09548 0.0250658 1.0 1.23125 0.012043 1.0 1.37469 0.0291099 1.103 1.31711 0.0147705 1.0 1.50379 0.0348324 1.233 1.40037 0.0181824 1.0 1.61014 0.0213396 1.0 1.70606 0.0385497 1.135 1.56639 0.0561825 1.141 2.56809 0.0741949 1.286 2.40353 0.0604979 1.126 2.32438 0.0441827 1.0 2.59135 0.0715505 1.132 2.68173 0.111642 1.274 2.69833 0.119611 1.147 2.61651 0.0648715 1.488 3.13558 0.113741 1.431 2.1968 0.32573 1.229 -99.0 -99.0 0.0 3.31219 0.346735 1.222 3.18958 0.0807517 1.349 -99.0 -99.0 0.0 2.76439 0.312643 1.162 2.63804 0.457862 0.749 3.49143 2.15157 1.569 2.35655 3.40794 0.799 5.75221 1.15593 6.4952 1.30524 1.1229 5.34141 0.227171 5.91302 0.388016 1.7971 1.3 3.5942 2.0364 0.589 0.146 -64.98 0 0.055 0 0 0 0 1 0 -99.0 +10525 1567.753 1118.271 34.7992629 -5.5085143 0.623222 0.0212863 1.0 0.870057 0.0117421 1.0 1.12524 0.0272413 0.541 1.74989 0.0150536 1.0 2.91788 0.0424105 0.607 3.14339 0.0190845 1.0 3.84626 0.0223178 1.0 4.19234 0.0500264 0.758 4.39977 0.065668 0.835 5.24996 0.0743245 0.976 5.08696 0.068921 0.59 4.91679 0.0447355 1.0 5.33457 0.0789478 0.645 6.27132 0.117974 0.566 6.18264 0.119743 0.932 6.85967 0.0651355 0.779 8.66455 0.113926 0.786 8.54516 0.325851 0.896 -99.0 -99.0 0.0 9.85043 0.346808 0.927 10.0798 0.0808936 0.811 -99.0 -99.0 0.0 6.03198 0.257983 1.212 4.02243 0.428359 0.651 2.68707 2.50181 0.811 -99.0 -99.0 0.0 24.472 1.60912 25.8752 1.70138 1.0515 20.2912 0.22728 24.7415 0.388096 2.4146 1.3 4.8291 2.567 0.768 0.278 68.7 0 0.029 0 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0.0367307 0.825 1.31584 0.0552654 0.996 1.41531 0.0741391 1.185 1.55279 0.0575708 0.824 1.18623 0.0439379 1.0 1.48433 0.068339 0.745 1.69976 0.109846 0.743 1.63168 0.11957 1.064 1.6165 0.0648092 0.956 2.15192 0.113708 0.963 2.14623 0.325729 1.1 -99.0 -99.0 0.0 2.00176 0.34672 1.098 2.38616 0.0807351 0.979 -99.0 -99.0 0.0 2.84534 0.25428 1.318 2.73612 0.434019 0.812 0.631165 2.28391 0.939 -99.0 -99.0 0.0 4.66548 1.17265 5.25014 1.3196 1.1191 4.50155 0.227165 5.16208 0.388012 1.8203 1.3 3.6406 2.2002 0.639 0.054 -6.93 0 0.029 0 0 0 0 1 0 -99.0 +165288 2928.232 8794.79 34.6971465 -4.9362506 1.00427 0.0238821 1.0 -99.0 -99.0 0.0 1.11911 0.0271938 0.937 1.27779 0.0147445 1.0 -99.0 -99.0 0.0 1.18843 0.0180697 1.0 1.19433 0.0211527 1.0 1.26186 0.0361174 1.156 -99.0 -99.0 0.0 1.37955 0.0741373 0.926 -99.0 -99.0 0.0 1.35422 0.0439741 1.0 1.17278 0.0674076 1.251 -99.0 -99.0 0.0 2.09696 0.119588 0.928 2.60769 0.064871 1.357 2.38779 0.113716 1.34 2.85338 0.325742 1.091 -99.0 -99.0 0.0 1.99186 0.34672 1.034 2.29284 0.0807332 1.259 -99.0 -99.0 0.0 1.85861 0.281867 0.931 2.63555 0.422775 0.96 6.30272 2.27711 1.219 -0.5555 2.59443 1.205 5.27296 1.83593 5.48191 1.90868 1.0339 4.28455 0.227163 5.09646 0.388012 2.7163 1.3 5.4326 2.3909 0.739 0.056 -43.23 2 0.034 0 0 2 0 1 0 -99.0 +88776 1032.309 5039.141 34.8391888 -5.2161806 0.17797 0.0188451 1.0 0.229093 0.011188 1.0 0.302972 0.0198748 0.919 0.431362 0.0141734 1.0 0.705592 0.0297135 0.921 0.768231 0.017844 1.0 0.979386 0.0210555 1.0 1.07231 0.035028 1.088 1.06919 0.0543475 1.042 1.33041 0.0741349 0.88 1.31717 0.0567334 0.984 1.20156 0.0439412 1.0 1.25682 0.0676601 0.936 1.53956 0.10955 0.978 1.85605 0.119579 1.268 1.75832 0.064818 0.969 2.25286 0.113712 0.926 1.84671 0.325723 0.892 -99.0 -99.0 0.0 2.19884 0.346722 0.885 2.40361 0.0807355 0.964 -99.0 -99.0 0.0 1.41918 0.31233 1.271 0.180059 0.489016 1.068 0.199253 2.53669 1.131 -4.99588 3.52098 0.8 3.71027 1.01952 4.32493 1.18842 1.1592 3.65916 0.227159 3.97057 0.388007 1.6065 1.3 3.213 1.7993 0.509 0.158 -55.46 0 0.797 0 0 0 0 1 0 -99.0 +15360 12145.34 1362.89 34.0070324 -5.4902155 0.191783 0.0187773 1.0 -99.0 -99.0 0.0 -99.0 -99.0 0.0 -99.0 -99.0 0.0 -99.0 -99.0 0.0 -99.0 -99.0 0.0 -99.0 -99.0 0.0 8.68665 0.0658802 0.027 -99.0 -99.0 0.0 13.1262 0.0747041 0.99 -99.0 -99.0 0.0 -99.0 -99.0 0.0 -99.0 -99.0 0.0 -99.0 -99.0 0.0 15.5346 0.120096 1.025 18.5002 0.0658541 0.669 25.1078 0.114475 0.726 24.8663 0.326163 0.874 -99.0 -99.0 0.0 29.9438 0.347032 0.913 29.9561 0.0813017 0.7 -99.0 -99.0 0.0 20.2582 0.533547 0.417 15.4224 0.602242 0.495 -99.0 -99.0 0.0 -99.0 -99.0 0.0 54.5632 1.45272 58.6812 1.56236 1.0695 48.6575 0.227488 55.838 0.38823 2.2038 1.3 4.4077 1.9589 0.596 0.11 0.35 0 0.799 0 0 0 0 1 0 0.5357 +178876 9614.906 9523.902 34.1967884 -4.8818897 -99.0 -99.0 0.0 1.55198 0.0123041 1.0 2.11546 0.0340597 0.89 3.72978 0.0162864 1.0 7.47519 0.0607051 0.877 9.40289 0.0220213 1.0 19.831 0.0283438 1.0 -99.0 -99.0 0.0 -99.0 -99.0 0.0 30.656 0.0755419 0.934 31.6714 0.124698 0.817 29.827 0.049735 1.0 -99.0 -99.0 0.0 39.9748 0.166044 0.959 41.9305 0.121088 1.085 58.2255 0.0682497 1.14 88.0679 0.116551 1.091 83.6203 0.327282 0.829 -99.0 -99.0 0.0 113.857 0.347967 0.857 118.833 0.0831017 1.029 -99.0 -99.0 0.0 105.901 1.60102 1.681 67.8995 1.05966 1.273 65.3925 1.85682 1.73 33.3594 2.02153 1.361 388.531 2.45403 394.348 2.49077 1.0094 278.213 0.229162 357.467 0.389521 3.5193 1.3 7.0387 3.3185 0.986 0.176 11.13 2 0.032 0 0 2 0 1 0 0.6449 +21506 11469.935 1657.768 34.0576293 -5.4682674 0.0455015 0.0177045 1.0 -99.0 -99.0 0.0 0.08898 0.0174551 0.054 -99.0 -99.0 0.0 -99.0 -99.0 0.0 -99.0 -99.0 0.0 -99.0 -99.0 0.0 0.156091 0.0291951 0.128 -99.0 -99.0 0.0 0.737185 0.0741062 1.034 0.335793 0.0531037 0.17 -99.0 -99.0 0.0 0.386259 0.0649969 0.056 0.49361 0.107599 0.148 1.31688 0.119558 0.905 2.73465 0.0648789 1.113 4.76894 0.113796 1.082 4.8891 0.325781 0.862 -99.0 -99.0 0.0 7.13886 0.346777 0.948 6.92603 0.0808287 1.172 -99.0 -99.0 0.0 10.7375 0.485654 0.412 12.0523 0.554463 0.792 -99.0 -99.0 0.0 -99.0 -99.0 0.0 10.9221 1.1585 12.3264 1.30745 1.1224 10.5026 0.227209 11.428 0.388039 1.8007 1.3 3.6013 1.7797 0.518 0.051 10.32 0 0.973 0 0 0 0 1 0 -99.0 +70491 9890.378 4112.75 34.1760041 -5.2853069 -99.0 -99.0 0.0 -99.0 -99.0 0.0 -99.0 -99.0 0.0 -99.0 -99.0 0.0 -99.0 -99.0 0.0 -99.0 -99.0 0.0 -99.0 -99.0 0.0 -99.0 -99.0 0.0 -99.0 -99.0 0.0 -99.0 -99.0 0.0 -99.0 -99.0 0.0 -99.0 -99.0 0.0 -99.0 -99.0 0.0 -99.0 -99.0 0.0 -99.0 -99.0 0.0 6.94121 0.0651405 1.076 7.36353 0.113883 1.03 7.33147 0.325828 0.946 -99.0 -99.0 0.0 -99.0 -99.0 0.0 7.15004 0.0808333 1.045 -99.0 -99.0 0.0 4.81409 0.185662 0.92 2.93144 0.294655 2.284 0.455085 1.7186 1.227 2.07433 1.53374 2.46 21.2435 1.70251 22.284 1.78591 1.0432 17.2168 0.227258 21.0406 0.38808 2.5393 1.3 5.0787 3.1166 0.88 0.255 -10.48 0 0.029 0 0 0 0 1 0 -99.0 +165037 7333.316 8772.963 34.367503 -4.9379183 0.0197592 0.0167694 1.0 -99.0 -99.0 0.0 0.418549 0.0210664 1.155 -99.0 -99.0 0.0 0.907621 0.0310889 0.974 -99.0 -99.0 0.0 -99.0 -99.0 0.0 1.13357 0.0353838 1.112 1.20619 0.0548593 0.963 1.05308 0.0741215 1.133 1.2965 0.0566593 1.066 -99.0 -99.0 0.0 1.14529 0.0673248 1.255 1.21263 0.108944 1.138 1.07355 0.119549 1.061 0.939648 0.0647669 0.942 1.58357 0.113689 1.021 1.73437 0.325721 1.132 -99.0 -99.0 0.0 2.53329 0.346726 1.105 2.20556 0.0807314 1.0 -99.0 -99.0 0.0 3.3886 0.334184 0.688 3.14131 0.440251 1.176 3.18428 2.70114 0.858 2.79966 2.87682 1.092 3.74172 1.0781 4.29926 1.23875 1.1427 3.72997 0.227159 3.88813 0.388007 1.6887 1.3 3.3774 1.9493 0.574 0.04 74.92 0 0.067 0 0 0 0 1 0 -99.0 +117318 11685.056 6445.595 34.0417458 -5.1113119 0.849842 0.0237615 1.0 0.790267 0.0116745 1.0 0.933137 0.02571 0.877 1.24496 0.0147228 1.0 1.67554 0.0358385 0.878 1.75404 0.0183691 1.0 2.76727 0.0218513 1.0 -99.0 -99.0 0.0 -99.0 -99.0 0.0 4.59002 0.0742927 1.07 -99.0 -99.0 0.0 4.08755 0.0445595 1.0 -99.0 -99.0 0.0 -99.0 -99.0 0.0 5.75415 0.119726 1.018 6.88706 0.0651372 1.174 9.566 0.113956 1.125 9.6341 0.325872 0.99 0.113326 1.23804 inf 14.7022 0.346862 1.087 14.7891 0.0809905 1.116 0.126972 1.13487 inf 20.717 0.419658 1.176 17.1559 0.487351 1.235 16.8149 2.48578 0.843 18.1488 2.5 1.413 29.2215 1.41306 31.5845 1.52733 1.0749 26.3195 0.227325 29.9634 0.388119 2.1501 1.3 4.3002 2.1357 0.646 0.142 -57.0 3 0.054 0 0 3 0 1 0 -99.0 +172055 9750.41 9128.175 34.1866372 -4.9113888 0.535847 0.0218836 1.0 0.708017 0.0116045 1.0 0.801132 0.0246025 0.779 1.24657 0.0147238 1.0 1.88642 0.0370363 0.872 2.14239 0.0185718 1.0 2.58806 0.0217728 1.0 2.68105 0.0434134 1.018 -99.0 -99.0 0.0 3.20004 0.0742254 1.066 3.4288 0.0638475 1.051 3.19749 0.0443697 1.0 -99.0 -99.0 0.0 4.38678 0.114693 0.981 4.12964 0.119665 1.106 4.7855 0.0650066 0.943 6.47802 0.113853 1.024 6.76685 0.325817 1.094 -99.0 -99.0 0.0 7.42561 0.346781 1.072 8.30912 0.0808572 1.055 -99.0 -99.0 0.0 6.71146 0.344607 0.781 4.91087 0.512643 0.745 7.14582 2.89584 0.773 11.9178 3.16377 0.79 13.704 1.17794 15.4048 1.32413 1.1179 13.1117 0.227228 14.4119 0.388052 1.8276 1.3 3.6552 1.854 0.542 0.075 -52.02 0 0.783 0 0 0 0 1 0 -99.0 +12952 8527.881 1233.241 34.2779598 -5.5000198 0.497188 0.020929 1.0 0.652238 0.0115567 1.0 0.845419 0.0249796 0.514 1.24848 0.0147251 1.0 2.31143 0.0393397 0.612 2.70815 0.0188633 1.0 4.11195 0.0224312 1.0 4.26178 0.0503093 0.563 4.47373 0.0658973 0.774 5.81212 0.0743517 0.719 6.08655 0.0718065 0.659 5.34984 0.0448272 1.0 6.27259 0.081323 0.772 6.67791 0.11867 0.595 7.07235 0.119776 0.673 8.23622 0.0652209 1.102 10.0302 0.113972 1.111 9.33662 0.325866 0.761 -99.0 -99.0 0.0 11.4866 0.346826 0.751 12.2714 0.0809387 1.136 -99.0 -99.0 0.0 8.47017 0.339101 0.929 5.63712 0.456463 1.23 3.32573 2.69947 0.913 1.14158 2.79457 1.092 23.2029 1.37853 25.2029 1.49735 1.0802 20.734 0.227284 24.0616 0.388093 2.1031 1.3 4.2062 2.0538 0.616 0.064 59.5 3 0.48 0 0 3 0 1 0 -99.0 +39850 4537.289 2554.487 34.5768291 -5.401529 -0.00603954 0.0165492 1.0 0.0044345 0.0109872 1.0 0.0211875 0.0166152 1.033 0.0106462 0.0138807 1.0 0.0198485 0.0244751 1.031 0.0310814 0.0174411 1.0 0.0468149 0.0206282 1.0 0.0114814 0.0281643 0.974 0.0599821 0.050418 1.089 0.0349179 0.0740722 0.788 0.0695267 0.0520753 0.962 0.245926 0.0437345 1.0 0.088296 0.0640599 0.946 0.136621 0.106925 0.887 0.131234 0.119513 0.922 0.65081 0.0647489 1.055 1.84513 0.113698 1.044 1.72278 0.325721 0.859 -99.0 -99.0 0.0 3.66009 0.346739 0.785 4.33427 0.0807753 1.108 -99.0 -99.0 0.0 9.74904 0.294897 2.063 13.2337 0.438764 1.137 17.9846 2.05011 1.483 16.8322 2.66849 0.949 8.85537 1.30509 9.72382 1.43308 1.092 8.09488 0.227191 9.1695 0.38803 2.0028 1.3 4.0056 2.2435 0.665 0.003 29.77 0 0.032 0 0 0 0 1 0 -99.0 +120535 8000.731 6588.544 34.3175248 -5.1007699 0.0135941 0.0171783 1.0 0.0121287 0.0109941 1.0 0.00193277 0.0163688 1.083 0.0636766 0.0139179 1.0 0.0386109 0.0246333 1.17 0.0626664 0.0174586 1.0 0.226496 0.0207112 1.0 0.175845 0.0293331 1.031 0.173395 0.0508747 0.979 0.298034 0.0740849 1.364 0.40955 0.0533851 1.044 0.442645 0.0437771 1.0 0.338166 0.0648466 1.066 0.507515 0.107625 1.079 0.83604 0.11954 1.136 1.88389 0.0648259 1.022 2.7092 0.113727 0.958 2.55985 0.325737 1.052 0.000693059 1.23803 inf 3.95453 0.346742 1.228 4.21657 0.0807729 0.889 0.00320249 1.13484 inf 6.03756 0.312677 1.16 6.78196 0.458533 1.084 6.46511 2.36855 1.456 6.55804 2.63294 1.451 7.13624 1.15006 8.0677 1.30017 1.1243 6.81227 0.227182 7.96013 0.388024 1.789 1.3 3.5779 1.9133 0.557 0.08 25.43 0 0.626 0 0 0 0 1 0 -99.0 +49102 10024.179 3017.896 34.16595 -5.3669275 0.12211 0.0182731 1.0 -99.0 -99.0 0.0 0.262525 0.0194406 0.805 -99.0 -99.0 0.0 0.754262 0.0300506 0.829 -99.0 -99.0 0.0 -99.0 -99.0 0.0 1.46462 0.0372474 0.759 1.60204 0.0563118 0.851 2.0061 0.0741677 0.866 1.96347 0.0590019 0.602 -99.0 -99.0 0.0 2.16163 0.0703213 0.746 2.77622 0.111813 0.603 2.52404 0.119604 0.816 3.60549 0.0649332 0.885 5.69691 0.113827 0.877 5.79147 0.325799 0.964 0.0119764 1.23803 inf 7.22945 0.346778 0.882 7.37175 0.0808379 0.927 -99.0 -99.0 0.0 6.99559 0.331463 1.199 3.77627 0.424472 2.441 5.72536 2.57167 1.162 4.20642 2.35149 2.479 11.9919 1.16066 13.5278 1.30931 1.1219 11.4691 0.227216 13.0117 0.388046 1.8037 1.3 3.6073 1.8351 0.54 0.097 -85.86 0 0.96 0 0 0 0 1 0 -99.0 +175461 11711.814 9323.048 34.03988 -4.8967868 0.174659 0.0184164 1.0 0.289822 0.0112417 1.0 0.496586 0.0218342 0.989 1.02423 0.0145757 1.0 2.10218 0.038223 0.988 2.76949 0.0188946 1.0 6.83862 0.0235634 1.0 7.1147 0.060807 0.936 9.00476 0.0786814 0.928 11.5392 0.0746278 1.945 11.2767 0.0852328 0.831 10.9876 0.046004 1.0 12.4228 0.0954428 0.764 15.5381 0.132935 0.928 17.189 0.120159 1.534 24.0356 0.0661931 0.915 38.3963 0.114916 0.996 36.9957 0.326394 1.875 -99.0 -99.0 0.0 52.6076 0.347285 1.958 55.5961 0.081825 1.014 -99.0 -99.0 0.0 59.6367 0.9312 1.386 37.2774 0.667717 1.596 35.8847 2.27473 1.234 22.069 2.28073 1.54 121.888 1.7365 127.548 1.81713 1.0407 101.883 0.227877 120.603 0.388507 2.5844 1.3 5.1688 2.2942 0.706 0.308 -50.28 0 0.036 0 0 0 0 1 0 0.7537 +128470 5659.621 6975.542 34.4927594 -5.0719294 0.451506 0.0203037 1.0 0.751518 0.0116416 1.0 0.986215 0.0261421 0.962 1.19852 0.0146919 1.0 1.58646 0.0353202 1.177 1.53527 0.0182538 1.0 1.59279 0.0213318 1.0 1.77375 0.0389071 1.022 1.75177 0.0568515 1.019 1.82224 0.0741588 1.487 2.01894 0.0591926 1.189 1.68419 0.0440452 1.0 1.97228 0.0697728 1.199 2.0522 0.110494 1.075 2.06515 0.119587 1.24 2.43155 0.06486 1.291 3.02514 0.113738 1.241 2.72704 0.32574 1.608 -99.0 -99.0 0.0 2.64708 0.346727 1.564 3.01015 0.080748 1.227 -99.0 -99.0 0.0 4.09594 0.287107 0.857 3.67531 0.408177 1.432 0.420452 2.31239 1.064 4.75292 2.41226 1.817 5.44253 1.15852 6.14227 1.30746 1.1223 5.1832 0.22717 6.00831 0.388016 1.8007 1.3 3.6014 2.0405 0.593 0.198 68.37 0 0.043 0 0 0 0 1 0 -99.0 +13702 666.372 1382.846 34.8667601 -5.4887472 2.15617 0.0282249 1.0 -99.0 -99.0 0.0 8.56322 0.0623032 0.313 -99.0 -99.0 0.0 31.8044 0.117286 0.327 -99.0 -99.0 0.0 -99.0 -99.0 0.0 60.5752 0.159861 0.477 70.3237 0.176647 0.486 83.9963 0.0780361 1.387 -99.0 -99.0 0.0 -99.0 -99.0 0.0 90.1293 0.201605 0.404 -99.0 -99.0 0.0 106.204 0.123471 1.181 136.105 0.0727174 0.811 192.926 0.119928 0.819 194.993 0.329392 1.177 -99.0 -99.0 0.0 249.337 0.34947 1.292 245.677 0.0856052 0.841 -99.0 -99.0 0.0 140.29 2.11394 0.548 113.298 1.72113 0.679 -99.0 -99.0 0.0 -99.0 -99.0 0.0 1664.9 4.81727 1674.41 4.84476 1.0002 737.948 0.232478 1174.18 0.392996 6.4268 1.3 12.8537 6.8155 1.683 0.168 59.83 3 0.029 0 0 3 0 1 0 -99.0 +41093 672.611 2623.049 34.8662329 -5.3962893 -0.0273373 0.0150292 1.0 -99.0 -99.0 0.0 0.0348475 0.0167879 0.667 -99.0 -99.0 0.0 0.155671 0.0255979 0.785 -99.0 -99.0 0.0 -99.0 -99.0 0.0 -99.0 -99.0 0.0 0.483906 0.0521047 1.082 0.623616 0.0741007 1.246 0.672782 0.0543774 0.854 -99.0 -99.0 0.0 0.69839 0.0659641 0.786 0.913511 0.108386 0.702 0.838667 0.11954 1.154 1.33481 0.0647916 1.021 2.49404 0.11372 1.029 3.01129 0.325745 1.26 -99.0 -99.0 0.0 4.49535 0.346748 1.227 5.11087 0.0807913 1.038 -99.0 -99.0 0.0 7.93753 0.216223 1.86 10.7168 0.414859 0.551 12.1795 1.63229 1.193 -99.0 -99.0 0.0 15.83 1.55393 16.8293 1.65202 1.0573 13.5745 0.227231 15.9856 0.388059 2.3405 1.3 4.681 3.2928 0.863 0.352 42.12 3 0.029 0 0 3 0 1 0 -99.0 +154756 5496.361 8268.75 34.504971 -4.9755128 -99.0 -99.0 0.0 0.344678 0.0112899 1.0 0.410461 0.0209852 1.382 0.402809 0.0141537 1.0 0.486214 0.0281439 1.146 0.440338 0.017666 1.0 0.560458 0.0208646 1.0 0.602338 0.0321685 1.214 0.623833 0.0526496 1.252 0.777253 0.0741081 1.006 0.766124 0.054725 1.164 0.663286 0.0438249 1.0 0.836778 0.0663885 1.372 0.82382 0.108218 1.225 1.15809 0.119552 1.001 1.6846 0.0648134 1.321 2.06789 0.113706 1.256 1.68575 0.32572 1.216 -99.0 -99.0 0.0 2.203 0.346722 1.136 2.33249 0.080734 1.266 -99.0 -99.0 0.0 2.93114 0.219945 0.931 3.02103 0.307287 0.966 5.99438 1.61616 1.25 2.08194 1.91776 1.274 7.04716 1.46267 7.56951 1.57109 1.0682 5.79748 0.227174 7.0277 0.38802 2.2174 1.3 4.4348 3.2452 0.881 0.492 -75.03 1 0.029 0 0 1 0 1 0 -99.0 +94876 7339.585 5352.244 34.3670008 -5.1929511 0.803926 0.0231314 1.0 1.4449 0.0122176 1.0 1.80464 0.032076 1.107 2.5062 0.0155361 1.0 4.49124 0.0494968 0.969 4.93619 0.0199698 1.0 7.3672 0.0237767 1.0 7.70122 0.0627479 1.012 7.87424 0.0756941 0.934 9.85345 0.0745466 1.112 10.5103 0.0833862 1.034 9.98441 0.0457968 1.0 10.6822 0.0916676 0.983 12.4603 0.12816 1.082 14.4901 0.120057 1.006 15.5872 0.065675 1.017 22.9308 0.114402 0.952 21.158 0.326092 0.899 -99.0 -99.0 0.0 28.1661 0.347012 1.014 28.8979 0.08128 0.987 -99.0 -99.0 0.0 23.2805 0.435919 1.533 17.5851 0.501066 0.937 19.6004 1.97731 2.026 19.0691 2.64713 1.221 57.3569 1.49645 61.349 1.60061 1.0637 50.7624 0.227504 58.4541 0.388241 2.263 1.3 4.526 2.123 0.647 0.102 -68.3 0 0.081 0 0 0 0 1 1 0.5504 +99412 1915.361 5564.556 34.7730615 -5.1770459 -99.0 -99.0 0.0 0.27909 0.0112322 1.0 0.33685 0.0202314 1.102 0.234406 0.0140371 1.0 0.452556 0.0278953 1.089 0.364614 0.0176246 1.0 0.513952 0.0208433 1.0 0.6101 0.0322177 1.066 0.737444 0.0530879 1.043 0.719018 0.0741053 1.315 0.884269 0.0551617 0.905 0.708787 0.0438347 1.0 0.92373 0.0666537 1.184 1.36921 0.109234 1.08 1.60861 0.119569 1.102 2.31195 0.0648526 1.039 4.55711 0.113789 0.998 4.64994 0.325777 1.303 -99.0 -99.0 0.0 6.68434 0.346772 1.334 7.03304 0.0808309 1.03 -99.0 -99.0 0.0 14.4462 0.406113 0.919 18.5259 0.574151 0.78 17.121 2.59844 0.91 18.3996 3.07068 0.912 12.8789 1.21824 14.3608 1.35841 1.1089 11.9547 0.227219 13.7828 0.388049 1.8834 1.3 3.7667 2.0419 0.597 0.025 -29.67 3 0.121 0 0 3 0 1 0 -99.0 +12188 832.486 1192.368 34.8543282 -5.5029558 0.631085 0.0212073 1.0 -99.0 -99.0 0.0 0.735029 0.0240288 0.446 -99.0 -99.0 0.0 0.884933 0.0309375 0.503 -99.0 -99.0 0.0 -99.0 -99.0 0.0 1.26103 0.0361127 0.665 1.40467 0.0555923 0.74 1.90583 0.0741628 0.997 2.02675 0.0592194 0.496 -99.0 -99.0 0.0 1.97906 0.0697925 0.646 2.1927 0.110751 0.544 2.30729 0.119596 0.966 2.30965 0.0648524 0.766 2.73241 0.113728 0.77 2.76804 0.325741 0.906 -99.0 -99.0 0.0 4.6866 0.34675 0.944 3.51209 0.0807584 0.798 -99.0 -99.0 0.0 3.43703 0.325012 0.482 2.95208 0.374997 0.956 -99.0 -99.0 0.0 -99.0 -99.0 0.0 9.51054 1.72904 9.95712 1.81023 1.0412 7.41757 0.227186 9.38423 0.38803 2.5746 1.3 5.1493 2.8351 0.841 0.069 -5.86 3 0.04 0 0 3 0 1 0 -99.0 +52346 9113.442 3173.462 34.2341513 -5.3553573 1.13851 0.0262487 1.0 1.17195 0.0119941 1.0 1.15502 0.0274711 0.866 1.31507 0.0147691 1.0 1.68992 0.0359214 0.863 1.73611 0.0183596 1.0 2.16414 0.0215861 1.0 2.20699 0.0411205 0.85 1.77205 0.0569242 0.948 2.11008 0.0741727 0.688 2.06758 0.0593592 0.837 1.94613 0.0441015 1.0 1.96211 0.0697432 0.883 2.18111 0.11073 0.841 2.70599 0.119611 0.672 2.40953 0.0648586 1.336 2.7431 0.113728 1.327 2.25263 0.325731 0.847 0.0534482 1.23803 inf 3.61856 0.346738 0.768 3.0095 0.080748 1.233 0.254247 1.13489 inf 1.8099 0.308289 0.795 1.75681 0.441667 1.1 -0.464943 2.6344 0.982 0.726408 2.92187 1.15 5.29998 1.1688 5.96883 1.3163 1.12 4.91763 0.227168 5.52258 0.388014 1.815 1.3 3.6299 1.9833 0.566 0.112 72.76 2 0.302 0 0 2 0 1 0 -99.0 +111867 11229.987 6199.842 34.0757968 -5.1296545 0.0561659 0.017401 1.0 0.0915488 0.0110655 1.0 0.141339 0.0180771 0.869 0.197885 0.0140117 1.0 0.491905 0.0281857 0.947 0.632891 0.0177708 1.0 1.63815 0.0213521 1.0 1.78358 0.0389587 0.915 2.27046 0.0586829 0.965 4.0164 0.0742649 1.04 -99.0 -99.0 0.0 3.91694 0.0445231 1.0 -99.0 -99.0 0.0 7.29131 0.119712 1.004 8.72909 0.119839 0.967 13.419 0.0655414 1.079 21.1535 0.114343 1.035 20.7051 0.326083 0.936 0.269682 1.23806 inf 31.4163 0.347048 1.06 33.1506 0.0813671 1.052 0.302752 1.1349 inf 45.8003 0.741063 1.06 39.6077 0.74211 0.745 28.8647 2.64017 0.826 17.6938 2.82559 0.893 76.0877 2.03154 78.3038 2.09071 1.0235 60.0595 0.227572 73.1722 0.388304 2.9732 1.3 5.9464 2.3621 0.745 0.168 72.07 3 0.057 0 0 3 0 1 0 -99.0 +28775 2313.853 2031.092 34.7433511 -5.4404921 0.427459 0.020025 1.0 0.776605 0.0116629 1.0 1.00013 0.0262542 0.575 1.68101 0.0150089 1.0 2.86724 0.0421627 0.579 3.28611 0.0191565 1.0 4.40676 0.0225564 1.0 4.39753 0.050858 0.756 4.78838 0.0668641 0.954 5.98176 0.0743599 0.855 5.72282 0.0707702 0.831 5.5866 0.0448772 1.0 5.86249 0.0802932 0.782 6.7014 0.11871 0.72 6.99505 0.119773 0.955 7.84735 0.0651968 0.978 9.97938 0.11397 0.99 9.36127 0.325867 0.888 -99.0 -99.0 0.0 10.3913 0.346814 0.825 11.7361 0.0809277 0.997 -99.0 -99.0 0.0 6.7978 0.279347 1.407 5.07605 0.524646 0.469 2.70199 2.187 1.199 -99.0 -99.0 0.0 23.9139 1.42503 25.8086 1.53793 1.0733 21.4449 0.227289 24.5112 0.388095 2.1663 1.3 4.3327 2.1991 0.663 0.096 -29.25 0 0.038 0 0 0 0 1 0 -99.0 +71982 11653.645 4183.017 34.0439901 -5.2799963 0.109839 0.0174796 1.0 0.21058 0.0111716 1.0 -99.0 -99.0 0.0 0.329427 0.014103 1.0 -99.0 -99.0 0.0 0.320341 0.0176003 1.0 0.353408 0.0207696 1.0 -99.0 -99.0 0.0 -99.0 -99.0 0.0 0.495183 0.0740945 1.02 -99.0 -99.0 0.0 0.440266 0.0437766 1.0 -99.0 -99.0 0.0 -99.0 -99.0 0.0 0.450228 0.119525 0.965 1.1029 0.0647771 1.147 1.81935 0.113697 1.101 2.06816 0.325727 1.071 0.0213806 1.23803 inf 2.51438 0.346726 0.99 2.57436 0.080739 1.142 -99.0 -99.0 0.0 3.43606 0.277577 0.948 3.95016 0.403466 0.97 3.43377 3.21181 0.416 3.87081 2.72738 0.818 5.70544 1.34206 6.22997 1.46544 1.0859 4.93195 0.227168 5.7623 0.388015 2.0534 1.3 4.1068 2.42 0.711 0.409 29.23 0 0.037 0 0 0 0 1 0 -99.0 +90788 2261.128 5171.034 34.7471915 -5.2063973 0.941716 0.0231121 1.0 0.985904 0.0118394 1.0 1.08885 0.0269579 1.048 1.14532 0.0146566 1.0 1.41259 0.0342862 1.085 1.45258 0.0182101 1.0 2.03709 0.0215298 1.0 2.2218 0.0411941 0.981 2.42699 0.0592244 1.076 4.0525 0.0742667 0.952 4.35801 0.0667381 0.934 3.8733 0.0445138 1.0 4.71634 0.0773425 0.947 5.14627 0.116027 0.974 5.54734 0.119719 1.167 6.8727 0.0651363 0.997 10.3932 0.113984 0.955 10.0075 0.325879 0.981 -99.0 -99.0 0.0 14.5267 0.34686 0.94 15.6991 0.0810092 0.987 -99.0 -99.0 0.0 21.5972 0.42233 0.788 21.4666 0.504084 0.986 19.7026 2.28252 0.873 22.3852 2.24541 1.231 40.1906 1.94582 41.5275 2.01055 1.0276 31.3016 0.227361 37.8855 0.388153 2.861 1.3 5.7219 2.6452 0.809 0.387 -59.29 3 0.03 0 0 3 0 1 0 -99.0 +84619 7977.637 4849.209 34.319227 -5.2304468 0.0740839 0.0168959 1.0 0.151604 0.0111191 1.0 0.163961 0.0183393 1.078 0.238891 0.0140402 1.0 0.296898 0.0267154 1.125 0.262491 0.0175686 1.0 0.283714 0.0207376 1.0 0.305504 0.0302232 0.959 0.385159 0.0517167 1.03 0.464894 0.074093 1.235 0.467576 0.0536054 0.999 0.386083 0.0437649 1.0 0.46542 0.0652436 1.073 0.594514 0.107788 1.023 0.565034 0.11953 0.948 0.899415 0.0647644 1.089 1.74379 0.113695 1.016 2.08429 0.325728 1.006 1.73332 1.23826 inf 2.17419 0.346722 1.146 2.85938 0.0807449 1.061 2.87355 1.13544 inf 4.89788 0.283427 0.608 4.89065 0.375413 0.794 10.97 2.15448 0.82 7.16781 2.41005 0.93 8.7684 1.76839 9.15568 1.84649 1.0384 6.14295 0.227177 7.77167 0.388024 2.6269 1.3 5.2538 3.202 0.949 0.52 -29.89 3 0.028 0 0 3 0 1 0 -99.0 +42160 11247.985 2660.47 34.0742952 -5.3935252 0.79703 0.0218782 1.0 -99.0 -99.0 0.0 0.93361 0.0257139 0.183 -99.0 -99.0 0.0 0.989232 0.0316275 0.245 -99.0 -99.0 0.0 -99.0 -99.0 0.0 1.0673 0.0349988 0.383 1.11251 0.0545099 0.473 1.26794 0.0741319 0.991 1.42432 0.0571157 0.374 -99.0 -99.0 0.0 1.33947 0.0679076 0.398 1.75901 0.109955 0.378 2.08441 0.119587 1.07 2.33894 0.0648542 1.086 2.68734 0.113726 1.058 2.60106 0.325738 1.068 -99.0 -99.0 0.0 2.0308 0.34672 0.984 2.28319 0.080733 1.139 -99.0 -99.0 0.0 3.29497 0.318745 0.594 2.67669 0.461223 0.501 -99.0 -99.0 0.0 -99.0 -99.0 0.0 4.82533 1.2139 5.38484 1.35465 1.1098 4.68837 0.227166 4.82858 0.388011 1.8774 1.3 3.7547 2.3585 0.675 0.204 84.98 0 0.027 0 0 0 0 1 0 -99.0 +126970 2773.94 6905.861 34.708749 -5.0770745 -99.0 -99.0 0.0 1.2448 0.0120542 1.0 1.38352 0.0291739 1.08 1.69128 0.0150156 1.0 2.53023 0.0404745 0.944 2.93775 0.0189803 1.0 3.97586 0.0223732 1.0 4.15881 0.0498891 1.115 4.15451 0.0649017 0.72 4.77666 0.0743017 1.361 4.67781 0.0677045 1.065 4.45834 0.0446383 1.0 4.67926 0.0772451 1.055 5.20338 0.116126 0.926 5.3177 0.11971 1.187 6.11848 0.0650895 1.311 7.37088 0.113883 1.282 6.81447 0.325818 1.557 -99.0 -99.0 0.0 8.01367 0.346787 1.493 8.55091 0.0808622 1.195 -99.0 -99.0 0.0 7.0129 0.270665 0.885 4.96189 0.371179 1.258 1.35964 2.27304 0.945 4.25217 2.20696 1.655 17.9637 1.37446 19.5235 1.49381 1.0808 16.1693 0.22725 18.3141 0.388069 2.0976 1.3 4.1952 2.2832 0.675 0.211 83.66 0 0.033 0 0 0 0 1 0 0.6622 +74716 7102.38 4313.878 34.3847507 -5.2703686 -99.0 -99.0 0.0 0.623735 0.0115323 1.0 -99.0 -99.0 0.0 0.612993 0.0142978 1.0 -99.0 -99.0 0.0 0.69452 0.0178042 1.0 1.06805 0.0210956 1.0 -99.0 -99.0 0.0 1.22062 0.0549129 0.949 1.552 0.0741457 1.309 1.61006 0.0577725 1.051 1.34852 0.0439729 1.0 1.60019 0.0686822 0.857 -99.0 -99.0 0.0 1.94986 0.119582 1.073 1.62967 0.06481 1.103 1.98466 0.113703 1.025 2.49024 0.325735 1.327 -99.0 -99.0 0.0 1.9824 0.34672 1.311 2.25303 0.0807324 1.063 -99.0 -99.0 0.0 3.19375 0.316461 0.898 2.17866 0.512784 0.6 -1.40731 2.54104 1.226 6.19196 3.21045 0.812 3.77052 1.05136 4.36065 1.2159 1.1501 3.73134 0.227159 4.01772 0.388007 1.6512 1.3 3.3025 1.9355 0.554 0.114 -56.84 0 0.317 0 0 0 0 1 0 -99.0 +172064 2864.666 9128.301 34.7018935 -4.9113842 0.457448 0.0198172 1.0 -99.0 -99.0 0.0 0.547737 0.0223232 1.0 0.559876 0.0142615 1.0 -99.0 -99.0 0.0 0.699452 0.0178068 1.0 0.898622 0.0210188 1.0 -99.0 -99.0 0.0 -99.0 -99.0 0.0 1.07139 0.0741224 0.885 -99.0 -99.0 0.0 0.998909 0.0438974 1.0 -99.0 -99.0 0.0 -99.0 -99.0 0.0 1.72386 0.119574 0.906 2.44766 0.064861 1.339 3.11537 0.113741 1.338 3.10335 0.325747 1.051 -99.0 -99.0 0.0 4.14469 0.346744 0.998 4.19876 0.0807725 1.258 -99.0 -99.0 0.0 6.1176 0.314895 0.664 5.09869 0.389738 1.804 1.62861 2.41442 0.888 3.72986 2.17339 2.041 8.094 1.26181 8.95565 1.39614 1.1004 7.61179 0.227188 8.39929 0.388026 1.9434 1.3 3.8868 2.1329 0.629 0.098 49.2 0 0.034 0 0 0 0 1 0 -99.0 +70547 10449.215 4114.12 34.1341631 -5.2851849 -99.0 -99.0 0.0 -99.0 -99.0 0.0 -99.0 -99.0 0.0 -99.0 -99.0 0.0 0.430423 0.0277306 0.97 0.463017 0.0176783 1.0 0.695665 0.0209264 1.0 -99.0 -99.0 0.0 -99.0 -99.0 0.0 -99.0 -99.0 0.0 1.30862 0.0567028 0.867 1.32105 0.0439669 1.0 -99.0 -99.0 0.0 1.65343 0.10976 0.833 2.04889 0.119586 0.874 2.60252 0.0648707 1.164 3.97098 0.113769 1.121 3.67965 0.325758 1.038 0.00980608 1.23803 inf 6.14389 0.346766 0.951 6.6711 0.0808235 1.143 -99.0 -99.0 0.0 11.0008 0.294145 1.584 10.0573 0.431536 0.918 7.64669 2.10142 1.392 14.6692 2.76264 0.825 14.8982 1.38854 16.159 1.50605 1.0787 13.1247 0.227228 15.6588 0.388057 2.1168 1.3 4.2335 2.4222 0.714 0.314 7.8 3 0.03 0 0 3 0 1 0 -99.0 +195847 4745.504 10348.487 34.5611363 -4.8204521 1.0087 0.0268407 1.0 -99.0 -99.0 0.0 2.18584 0.0344931 1.067 2.711 0.0156642 1.0 3.30359 0.0442528 0.921 3.30731 0.0191671 1.0 3.48664 0.0221634 1.0 -99.0 -99.0 0.0 -99.0 -99.0 0.0 4.18027 0.0742728 0.957 -99.0 -99.0 0.0 3.69468 0.0444758 1.0 -99.0 -99.0 0.0 -99.0 -99.0 0.0 4.0969 0.119664 1.006 4.28661 0.0649756 1.225 4.22039 0.113778 1.142 3.7738 0.32576 0.896 -99.0 -99.0 0.0 3.08243 0.346732 0.892 3.12804 0.0807504 1.099 -99.0 -99.0 0.0 3.68993 0.342673 1.146 1.40688 0.531996 0.804 2.73021 2.67792 0.981 -0.785925 3.3239 0.825 4.31127 0.861246 5.26594 1.05196 1.2147 4.31127 0.227163 5.09464 0.388012 1.3819 1.3 2.7637 1.6835 0.495 0.086 -20.74 3 0.212 0 0 3 0 1 0 -99.0 +141369 5103.261 7615.114 34.5343959 -5.0242418 0.0726709 0.017574 1.0 0.130327 0.0111002 1.0 0.190881 0.0186466 1.284 0.384234 0.0141409 1.0 0.663794 0.0294209 1.225 0.792397 0.0178571 1.0 1.67036 0.0213665 1.0 1.7125 0.0385839 1.068 1.96249 0.0576025 0.999 2.33547 0.0741836 0.985 2.42493 0.0605697 1.121 2.23118 0.0441627 1.0 2.50384 0.0713019 1.192 2.9246 0.112081 1.042 2.97073 0.119621 1.108 3.55628 0.0649301 1.245 4.57373 0.113789 1.194 4.68236 0.325777 1.202 -99.0 -99.0 0.0 5.55891 0.34676 1.114 5.46536 0.0807986 1.197 -99.0 -99.0 0.0 6.1953 0.30457 1.819 4.10195 0.498046 0.937 4.14071 2.12479 2.437 2.38362 2.95004 1.239 10.4605 1.15219 11.8207 1.30201 1.1238 10.0805 0.227206 11.1719 0.388038 1.7919 1.3 3.5838 2.1628 0.628 0.128 84.22 3 0.193 0 0 3 0 1 0 -99.0 +112125 7637.517 6222.742 34.3447075 -5.1280475 1.3877 0.0254104 1.0 2.29772 0.0128908 1.0 3.24331 0.0404492 0.931 5.40344 0.0172599 1.0 8.03006 0.0625683 0.831 8.46889 0.0216084 1.0 11.2725 0.0252966 1.0 11.6561 0.0745272 0.919 12.409 0.08706 0.949 14.9075 0.0747896 1.205 15.9223 0.0956652 1.02 14.7882 0.0467807 1.0 15.5237 0.101822 1.087 17.4477 0.135813 1.13 17.5635 0.120173 1.076 22.7897 0.066117 0.934 30.4221 0.114651 0.869 27.3485 0.32621 0.974 -99.0 -99.0 0.0 34.9058 0.347087 1.111 38.768 0.0814819 0.9 -99.0 -99.0 0.0 20.6889 0.378414 1.379 19.8174 0.446387 0.876 15.6056 1.52726 1.77 33.6584 2.26126 0.982 115.736 1.92641 119.699 1.99236 1.0285 88.7133 0.227781 111.752 0.388469 2.8354 1.3 5.6708 3.0876 0.904 0.365 -21.5 3 0.028 0 0 3 0 1 0 -99.0 +219946 3583.472 11591.939 34.6480497 -4.7277298 0.604782 0.0214379 1.0 0.620146 0.0115292 1.0 0.683267 0.0235697 1.27 0.757133 0.0143959 1.0 1.062 0.0321002 1.244 1.06591 0.0180042 1.0 1.31064 0.0212052 1.0 1.38449 0.0368049 1.257 1.24672 0.0550097 1.028 1.43005 0.0741398 1.024 1.59249 0.0577107 1.111 1.4583 0.0439965 1.0 1.5354 0.0684905 1.325 1.85904 0.110139 1.253 1.68434 0.119572 0.971 1.80245 0.0648208 1.097 2.03542 0.113704 1.043 1.75102 0.325721 0.906 -99.0 -99.0 0.0 2.68644 0.346728 0.955 1.97759 0.0807267 0.995 -99.0 -99.0 0.0 1.64608 0.256511 1.068 1.03503 0.353306 1.462 -0.998944 2.13594 1.013 2.44262 2.51989 1.178 4.65631 1.65606 4.9036 1.74401 1.0473 3.79002 0.22716 4.73791 0.388011 2.4774 1.3 4.9548 2.4796 0.745 0.141 24.79 0 0.028 0 0 0 0 1 0 -99.0 +67821 1617.422 3960.884 34.795429 -5.2965939 0.0741419 0.0175814 1.0 0.134478 0.0111039 1.0 0.222328 0.0189992 0.941 0.249468 0.0140476 1.0 -99.0 -99.0 0.0 0.308824 0.017594 1.0 0.325842 0.0207569 1.0 -99.0 -99.0 0.0 0.408254 0.0518077 0.995 0.524207 0.0740959 0.983 0.458054 0.0535693 1.008 0.514898 0.0437928 1.0 0.507587 0.0653746 0.863 -99.0 -99.0 0.0 0.596561 0.119531 1.009 0.764884 0.064756 0.758 1.49525 0.113686 0.726 2.06617 0.325727 1.001 -99.0 -99.0 0.0 2.09701 0.346721 0.982 2.43966 0.0807363 0.763 -99.0 -99.0 0.0 4.15846 0.32915 0.726 4.30609 0.452465 1.251 8.18838 2.7747 0.828 4.57945 2.73258 1.18 4.28239 1.24348 4.75369 1.38033 1.1039 4.01618 0.227161 4.79216 0.388011 1.9182 1.3 3.8363 1.9485 0.581 0.209 31.4 0 0.25 0 0 0 0 1 0 -99.0 +155545 7935.983 8307.891 34.3223969 -4.9725846 0.0735914 0.0181117 1.0 0.0965708 0.01107 1.0 0.105733 0.0176565 0.851 0.110422 0.0139507 1.0 0.114471 0.0252626 0.998 0.147669 0.0175055 1.0 0.265909 0.0207294 1.0 0.280384 0.0300528 1.037 0.31599 0.0514432 0.912 0.291022 0.0740846 1.132 0.3779 0.0532645 1.041 0.433156 0.0437751 1.0 0.315221 0.0647747 1.152 0.71912 0.108022 1.083 0.734226 0.119536 1.075 1.09344 0.0647765 0.878 1.83772 0.113698 0.954 2.2022 0.32573 1.141 -99.0 -99.0 0.0 2.49649 0.346726 1.102 2.71721 0.080742 0.935 -99.0 -99.0 0.0 4.64032 0.300488 1.457 4.52897 0.448935 1.112 7.79113 2.11462 2.335 8.82554 2.96566 1.223 4.40737 1.04869 5.1005 1.21361 1.1509 4.17555 0.227162 4.88759 0.388011 1.6475 1.3 3.295 1.8771 0.545 0.073 -53.37 0 0.68 0 0 0 0 1 0 -99.0 +176776 1545.319 9363.857 34.8006079 -4.8937784 0.421584 0.0205167 1.0 0.463511 0.0113938 1.0 0.510093 0.0219644 1.077 0.56391 0.0142643 1.0 0.680558 0.0295386 1.225 0.65397 0.0177822 1.0 0.902859 0.0210207 1.0 0.983539 0.0345061 1.181 1.09433 0.0544418 1.048 1.39575 0.0741381 1.388 1.50006 0.0573844 1.314 1.28916 0.0439601 1.0 1.87412 0.0694868 1.108 1.77317 0.109981 1.297 2.05372 0.119586 1.233 4.39828 0.0649825 1.342 6.57793 0.113857 1.3 6.09163 0.325804 1.487 -99.0 -99.0 0.0 9.08725 0.346799 1.441 10.0387 0.0808928 1.162 -99.0 -99.0 0.0 16.7385 0.406381 0.748 20.0258 0.522076 1.179 20.264 2.77123 0.88 23.1672 2.64784 1.181 17.9844 1.30049 19.7641 1.42918 1.0929 16.9084 0.227256 18.892 0.388071 1.9965 1.3 3.993 1.9688 0.591 0.029 76.58 0 0.11 0 0 0 0 1 0 -99.0 +30325 5231.382 2099.813 34.5248546 -5.4354349 0.386851 0.0200314 1.0 0.529869 0.0114513 1.0 0.624048 0.0230334 0.857 0.81459 0.0144347 1.0 1.30204 0.0336123 0.968 1.52335 0.0182475 1.0 2.35156 0.0216689 1.0 2.43863 0.0422564 0.914 2.63291 0.0599294 0.956 3.01319 0.0742164 0.746 3.20301 0.0631251 0.984 2.93554 0.0443137 1.0 3.31977 0.0735873 0.821 3.59562 0.113287 0.91 3.81908 0.119653 0.728 4.30746 0.0649769 0.998 5.72915 0.113828 0.984 5.70381 0.325797 0.806 -99.0 -99.0 0.0 6.4942 0.34677 0.727 6.57514 0.0808215 1.041 -99.0 -99.0 0.0 5.32292 0.244769 1.785 3.68319 0.368544 1.28 -1.79809 1.97244 1.404 2.79673 2.28746 1.221 15.2124 1.52579 16.2181 1.62666 1.0602 12.8829 0.227226 15.5005 0.388057 2.3026 1.3 4.6052 2.4666 0.734 0.074 -80.11 2 0.031 0 0 2 0 1 0 -99.0 +144029 5480.312 7754.487 34.5061754 -5.0138538 0.0229025 0.0163422 1.0 0.0430549 0.011022 1.0 0.0421703 0.0168797 1.23 0.179724 0.0139991 1.0 0.277409 0.026564 1.144 0.280364 0.0175784 1.0 0.411577 0.0207963 1.0 0.420996 0.0309946 1.082 0.425542 0.0518757 1.232 0.552293 0.0740972 1.013 0.563051 0.053966 1.225 0.536991 0.0437976 1.0 0.825787 0.0663549 1.274 0.541862 0.107689 1.039 0.417552 0.119524 0.99 0.691342 0.0647514 1.282 1.20356 0.113677 1.231 1.15824 0.32571 1.222 -99.0 -99.0 0.0 3.24897 0.346734 1.145 3.57943 0.0807598 1.234 -99.0 -99.0 0.0 5.14226 0.254636 0.909 5.53741 0.404689 0.881 8.4201 1.99135 1.163 16.561 2.33397 1.179 8.47404 1.43481 9.13412 1.54657 1.072 7.1923 0.227185 8.68795 0.388027 2.1796 1.3 4.3593 2.5518 0.745 0.376 63.79 0 0.068 0 0 0 0 1 0 -99.0 +8418 2696.723 997.847 34.7147097 -5.5175352 -99.0 -99.0 0.0 0.250475 0.0112069 1.0 -99.0 -99.0 0.0 0.339088 0.0141097 1.0 -99.0 -99.0 0.0 0.458997 0.0176761 1.0 0.569043 0.0208685 1.0 -99.0 -99.0 0.0 0.669135 0.0528248 1.024 -99.0 -99.0 0.0 0.838505 0.054993 0.622 0.795041 0.0438534 1.0 1.01227 0.0669227 0.658 -99.0 -99.0 0.0 -99.0 -99.0 0.0 1.6755 0.0648129 0.795 3.19919 0.113743 0.808 3.32062 0.325751 0.788 -99.0 -99.0 0.0 4.56139 0.346749 0.78 5.15642 0.0807923 0.824 -99.0 -99.0 0.0 9.93646 0.321202 1.187 12.0899 0.506594 0.639 12.8618 2.68691 0.829 -99.0 -99.0 0.0 9.28638 1.24061 10.3137 1.37785 1.1045 8.90376 0.227197 9.49374 0.388031 1.9142 1.3 3.8284 2.0002 0.596 0.115 30.21 0 0.092 0 0 0 0 1 0 -99.0 +218048 10284.903 11497.019 34.1467256 -4.7347681 0.356282 0.0204959 1.0 0.73355 0.0116263 1.0 0.85405 0.0250524 0.877 0.984594 0.0145492 1.0 1.2112 0.0330482 1.022 1.10985 0.0180277 1.0 1.12033 0.0211193 1.0 1.20893 0.0358165 0.988 -99.0 -99.0 0.0 1.42799 0.0741397 1.004 1.45992 0.0572422 1.108 1.37915 0.0439795 1.0 1.41696 0.0681387 1.038 1.43414 0.109355 1.113 1.4752 0.119564 1.008 2.40387 0.0648583 0.934 3.37137 0.113749 0.99 3.0195 0.325746 0.895 -99.0 -99.0 0.0 4.82376 0.346752 0.903 4.34554 0.0807755 0.977 -99.0 -99.0 0.0 3.93926 0.468003 0.293 5.11979 0.454075 1.063 -99.0 -99.0 0.0 3.48198 3.05861 0.979 7.63499 1.16928 8.59769 1.31671 1.1199 7.19804 0.227185 8.28587 0.388026 1.8156 1.3 3.6313 1.9785 0.575 0.109 -79.12 0 0.735 0 0 0 0 1 0 -99.0 +65272 10558.282 3836.694 34.1259867 -5.3058638 0.915436 0.0215112 1.0 -99.0 -99.0 0.0 1.06882 0.0268007 0.81 -99.0 -99.0 0.0 1.48983 0.0347494 0.899 -99.0 -99.0 0.0 -99.0 -99.0 0.0 2.06333 0.0404 0.823 -99.0 -99.0 0.0 2.51164 0.0741921 1.271 2.54775 0.0609802 0.713 -99.0 -99.0 0.0 2.43741 0.0711126 0.626 2.78218 0.111824 0.811 3.18066 0.119629 1.054 2.80201 0.0648831 1.233 3.07477 0.113739 1.209 3.06116 0.325746 1.354 0.00607979 1.23803 inf 3.28621 0.346734 1.26 3.19405 0.0807518 1.186 -99.0 -99.0 0.0 2.63425 0.191041 1.11 1.85714 0.235886 2.335 1.17941 1.65278 0.883 -0.704436 1.43313 2.35 11.2664 1.7512 11.7777 1.83067 1.0396 8.77478 0.227196 11.1417 0.388038 2.6041 1.3 5.2082 3.6874 0.948 0.262 52.36 0 0.029 0 0 0 0 1 0 -99.0 +118196 9599.667 6462.325 34.197839 -5.1101446 0.827195 0.0293617 1.0 1.26739 0.0120727 1.0 1.48254 0.0298816 0.956 1.78763 0.0150781 1.0 2.21355 0.0388214 1.057 2.20583 0.0186047 1.0 2.66572 0.0218069 1.0 2.82252 0.0440746 0.969 2.88102 0.060768 1.023 3.43261 0.0742367 1.123 3.49918 0.064071 0.966 3.08362 0.0443454 1.0 3.50322 0.0740914 1.048 4.48852 0.114873 1.012 5.48868 0.119716 1.185 5.03755 0.0650223 1.03 6.88823 0.113867 1.015 6.68641 0.325816 1.011 0.124276 1.23804 inf 6.41802 0.346769 1.041 6.55328 0.080821 0.972 0.109251 1.13486 inf 9.0857 0.536292 0.779 9.6732 0.742143 1.229 8.32849 3.62154 0.89 16.8201 3.75902 1.579 7.11287 0.533945 10.2838 0.771975 1.4378 7.14175 0.227184 8.53842 0.388027 0.9017 1.3 1.8034 1.5693 0.392 0.493 -57.99 3 1.0 0 0 3 0 1 0 -99.0 +147702 4904.92 7977.652 34.5492361 -4.9972105 -99.0 -99.0 0.0 5.17892 0.0149426 1.0 -99.0 -99.0 0.0 8.67092 0.0190174 1.0 -99.0 -99.0 0.0 10.856 0.0226487 1.0 10.5827 0.0250348 1.0 -99.0 -99.0 0.0 11.3111 0.0844486 0.925 -99.0 -99.0 0.0 15.7112 0.0952159 1.096 13.7615 0.0465721 1.0 12.7675 0.0961728 1.102 -99.0 -99.0 0.0 -99.0 -99.0 0.0 15.3411 0.0656599 1.232 16.4776 0.114187 1.175 15.5298 0.325984 1.229 -99.0 -99.0 0.0 18.4482 0.346904 1.132 18.0731 0.081058 1.187 -99.0 -99.0 0.0 9.89269 0.319166 0.618 8.58703 0.416347 0.66 1.76638 2.16351 0.777 11.0852 2.52745 0.816 48.9528 1.81998 50.941 1.8939 1.0349 38.9572 0.227417 47.8194 0.388195 2.6952 1.3 5.3903 2.8186 0.827 0.182 7.6 3 0.029 0 0 3 0 1 0 -99.0 +146775 3247.692 7897.398 34.673264 -5.0031637 0.275656 0.0183858 1.0 -99.0 -99.0 0.0 0.369621 0.0205704 1.053 -99.0 -99.0 0.0 0.695632 0.029644 0.901 -99.0 -99.0 0.0 -99.0 -99.0 0.0 1.70644 0.0385518 1.096 2.09079 0.058055 0.806 2.69398 0.074201 1.132 2.75057 0.0616521 1.113 -99.0 -99.0 0.0 2.80143 0.0721439 1.155 3.21659 0.112608 0.981 3.39963 0.119637 1.006 5.25768 0.065036 1.416 7.61833 0.113891 1.313 7.68472 0.325835 1.419 -99.0 -99.0 0.0 12.3342 0.346835 1.247 12.3231 0.0809398 1.178 -99.0 -99.0 0.0 19.6113 0.398271 0.629 15.0533 0.409982 1.238 18.6273 2.36242 0.734 8.23629 2.06963 1.661 30.3814 1.54848 32.3167 1.64712 1.0578 25.8067 0.227321 30.7687 0.388122 2.3331 1.3 4.6663 2.6224 0.774 0.218 -88.03 3 0.035 0 0 3 0 1 0 -99.0 +59326 7181.208 3536.143 34.3788422 -5.3283517 0.125852 0.0181111 1.0 0.29087 0.0112426 1.0 0.37668 0.0206427 1.025 0.449871 0.0141861 1.0 0.603964 0.0289969 1.18 0.574579 0.0177391 1.0 0.625878 0.0208945 1.0 0.630726 0.0323484 0.985 0.754301 0.0531526 0.961 0.980977 0.074118 0.716 0.823226 0.0549365 0.968 0.846362 0.0438645 1.0 0.850127 0.0664293 0.825 0.699131 0.107985 0.935 0.919479 0.119543 0.745 1.56676 0.0648061 0.939 2.97758 0.113736 0.955 2.52494 0.325736 0.868 0.0352662 1.23803 inf 3.9626 0.346742 0.77 4.02695 0.080769 0.847 0.295936 1.1349 inf 6.05559 0.310214 0.838 6.04842 0.423405 1.412 7.57105 2.44885 1.016 4.65535 2.35992 1.994 7.79316 1.3213 8.53538 1.44714 1.0892 7.12815 0.227184 7.92716 0.388024 2.025 1.3 4.05 2.1196 0.634 0.174 -32.99 2 0.039 0 0 2 0 1 0 -99.0 +150021 11812.469 8037.979 34.0322862 -4.992588 0.0667108 0.017588 1.0 0.175776 0.0111407 1.0 0.25309 0.0193379 0.891 0.383031 0.01414 1.0 0.510142 0.0283193 0.847 0.49745 0.0176971 1.0 0.530579 0.0208509 1.0 0.603406 0.0321752 0.892 0.585734 0.0525018 0.909 0.710325 0.0741049 1.27 -99.0 -99.0 0.0 0.569108 0.0438045 1.0 -99.0 -99.0 0.0 0.780313 0.108137 0.942 0.733579 0.119536 1.182 0.797664 0.0647581 0.744 1.63799 0.113691 0.81 1.82908 0.325723 1.361 0.0108095 1.23803 inf 1.71397 0.346717 1.312 1.92968 0.0807257 0.833 0.0318145 1.13485 inf 3.13065 0.292663 0.919 2.98798 0.390662 1.224 4.70817 2.64984 0.818 -0.480445 2.86511 1.044 3.76984 1.10786 4.30061 1.26383 1.1345 3.577 0.227158 3.71606 0.388006 1.7302 1.3 3.4605 2.2287 0.637 0.092 0.14 3 0.058 0 0 3 0 1 0 -99.0 +26907 1246.107 1927.119 34.8233181 -5.4481996 0.953077 0.0243958 1.0 -99.0 -99.0 0.0 1.09013 0.026968 0.623 -99.0 -99.0 0.0 1.43586 0.0344264 0.796 -99.0 -99.0 0.0 -99.0 -99.0 0.0 1.74764 0.0387696 0.8 1.76527 0.0568999 1.04 2.77068 0.0742047 1.298 3.01941 0.0625315 0.725 -99.0 -99.0 0.0 3.13519 0.0730766 0.836 3.74003 0.113545 0.746 3.77669 0.119652 1.14 4.0661 0.0649618 0.947 5.5381 0.113822 0.955 5.51895 0.325793 1.184 -99.0 -99.0 0.0 6.70008 0.346773 1.205 6.50368 0.08082 0.975 -99.0 -99.0 0.0 8.90017 0.315971 1.42 7.40532 0.480076 0.953 7.14638 2.35739 1.211 -99.0 -99.0 0.0 11.5279 1.24125 12.8017 1.3784 1.1044 10.8127 0.227211 11.7182 0.38804 1.9151 1.3 3.8302 1.9684 0.587 0.082 -6.21 0 0.273 0 0 0 0 1 0 -99.0 +8217 2440.214 981.803 34.7339225 -5.5187225 0.977522 0.024613 1.0 0.931556 0.0117938 1.0 1.02176 0.0264275 0.522 1.01979 0.0145728 1.0 1.444 0.0344753 0.636 1.46566 0.018217 1.0 1.80442 0.0214264 1.0 1.8219 0.0391593 0.632 1.63402 0.0564275 0.903 2.50494 0.0741918 0.872 2.429 0.0605834 0.588 2.18165 0.0441521 1.0 1.7825 0.0692187 0.666 1.78469 0.110002 0.497 2.06364 0.119587 0.865 2.03315 0.0648352 0.783 2.12652 0.113708 0.797 2.38034 0.325733 0.803 -99.0 -99.0 0.0 1.96976 0.34672 0.791 2.30279 0.0807334 0.815 -99.0 -99.0 0.0 1.75009 0.270632 1.306 0.520592 0.448275 0.734 0.850217 2.29842 1.194 -99.0 -99.0 0.0 4.27631 1.13201 4.85246 1.28453 1.1285 4.26255 0.227163 4.46095 0.388009 1.7639 1.3 3.5278 2.1072 0.609 0.257 -55.77 0 0.033 0 0 0 0 1 0 -99.0 +149158 3737.599 8032.681 34.6365966 -4.993089 0.680106 0.0216532 1.0 1.4766 0.0122433 1.0 2.16053 0.0343379 0.786 4.03158 0.0164662 1.0 9.01184 0.0657358 0.841 11.332 0.0228504 1.0 19.3748 0.0281897 1.0 20.4517 0.0956583 0.96 24.6024 0.112042 0.746 30.5024 0.0755346 1.007 32.1761 0.125518 1.016 29.8578 0.0497409 1.0 34.0709 0.133771 0.923 40.2645 0.166397 1.06 42.1098 0.121095 0.968 60.1917 0.0683661 1.095 99.3614 0.116919 1.065 97.4321 0.327544 1.24 -99.0 -99.0 0.0 132.676 0.348176 1.131 132.177 0.0833686 1.06 -99.0 -99.0 0.0 103.049 1.56848 0.788 76.4975 1.20642 1.071 68.575 2.27674 1.078 50.6271 2.29697 1.299 346.629 2.00563 357.135 2.06642 1.0246 270.424 0.229105 335.386 0.389427 2.939 1.3 5.8781 2.7019 0.829 0.266 -80.36 3 0.025 0 0 3 0 1 0 -99.0 +2862 1388.626 725.872 34.8126954 -5.5377596 0.110904 0.0176863 1.0 -99.0 -99.0 0.0 0.364345 0.0205162 0.366 -99.0 -99.0 0.0 2.4978 0.0403083 0.411 -99.0 -99.0 0.0 -99.0 -99.0 0.0 7.91323 0.0634348 0.475 10.6831 0.0829181 0.545 16.6458 0.0748731 0.978 17.237 0.0984171 0.371 -99.0 -99.0 0.0 18.2227 0.107066 0.382 21.1569 0.141237 0.401 24.1921 0.120422 0.93 32.5725 0.0667126 0.476 51.5114 0.11535 0.463 51.896 0.326678 0.893 -99.0 -99.0 0.0 75.6995 0.347542 0.907 75.5739 0.0822305 0.509 -99.0 -99.0 0.0 89.2228 1.38656 0.636 58.1507 0.992182 0.624 -99.0 -99.0 0.0 -99.0 -99.0 0.0 158.95 1.62814 167.791 1.71871 1.0498 136.84 0.228133 159.237 0.388673 2.4399 1.3 4.8797 2.2202 0.681 0.176 -35.13 2 0.242 0 0 2 0 1 0 -99.0 +70949 10617.405 4117.237 34.1215707 -5.2849461 -99.0 -99.0 0.0 0.557015 0.0114748 1.0 0.522687 0.0220851 0.77 0.578805 0.0142745 1.0 0.604925 0.0290038 0.879 0.658887 0.0177849 1.0 0.621766 0.0208926 1.0 0.672101 0.0326088 0.853 -99.0 -99.0 0.0 0.739615 0.0741063 1.153 0.784662 0.0547937 0.753 0.858909 0.0438672 1.0 -99.0 -99.0 0.0 1.25091 0.109015 0.818 1.17817 0.119553 0.975 1.785 0.0648197 1.164 1.95027 0.113702 1.118 1.92769 0.325725 1.249 0.00589129 1.23803 inf 1.86928 0.346719 1.108 2.04801 0.0807282 1.147 0.560548 1.13496 inf 0.80824 0.304735 2.233 -99.0 -99.0 1.189 2.35054 2.21448 2.332 0.298447 3.03222 1.235 3.01808 1.00168 3.53497 1.17323 1.1648 3.03531 0.227154 3.17052 0.388004 1.5814 1.3 3.1628 1.7261 0.492 0.13 36.46 2 0.74 0 0 2 0 1 0 -99.0 +2867 1168.704 703.975 34.8291685 -5.5393818 0.86036 0.0226036 1.0 -99.0 -99.0 0.0 1.05395 0.0266833 0.483 -99.0 -99.0 0.0 1.17391 0.0328138 0.465 -99.0 -99.0 0.0 -99.0 -99.0 0.0 -99.0 -99.0 0.0 1.2405 0.0549867 0.625 -99.0 -99.0 0.0 -99.0 -99.0 0.0 -99.0 -99.0 0.0 1.43401 0.0681894 0.342 -99.0 -99.0 0.0 2.27023 0.119594 0.899 2.44376 0.0648608 0.406 2.64355 0.113725 0.378 2.86571 0.325743 0.844 -99.0 -99.0 0.0 3.25127 0.346734 0.878 2.57602 0.0807391 0.441 -99.0 -99.0 0.0 2.67028 0.297231 0.629 2.10281 0.463359 0.443 -99.0 -99.0 0.0 -99.0 -99.0 0.0 6.40401 1.26391 7.08312 1.39794 1.0999 5.41682 0.227171 7.09256 0.388021 1.9463 1.3 3.8926 2.7496 0.775 0.327 25.69 1 0.101 0 0 1 0 1 0 -99.0 +80631 9373.919 4633.499 34.2146866 -5.2464986 -99.0 -99.0 0.0 0.201561 0.0111636 1.0 0.346971 0.0203367 0.992 0.535071 0.0142446 1.0 0.993806 0.0316575 1.081 1.06418 0.0180033 1.0 1.1072 0.0211133 1.0 1.32663 0.0364821 0.821 -99.0 -99.0 0.0 1.4349 0.07414 1.448 1.42368 0.0571134 0.913 1.09523 0.0439182 1.0 -99.0 -99.0 0.0 1.59898 0.10966 0.893 1.64793 0.119571 1.083 1.26403 0.0647872 1.118 1.62928 0.113691 1.134 1.75278 0.325721 1.271 0.0237136 1.23803 inf 2.01163 0.34672 1.319 2.6523 0.0807406 1.101 -99.0 -99.0 0.0 2.40051 0.34497 0.936 2.40308 0.530549 0.796 1.28799 2.96462 0.823 2.52867 3.39966 0.803 4.20416 1.02659 4.89181 1.19451 1.1572 4.08538 0.227162 4.59981 0.38801 1.6165 1.3 3.2329 1.8444 0.522 0.157 50.19 1 0.681 0 0 1 0 1 0 -99.0 +201176 2642.889 10649.961 34.7184414 -4.7979328 0.504502 0.020586 1.0 0.566172 0.0114827 1.0 0.550836 0.0223525 1.241 0.609129 0.0142952 1.0 0.817697 0.0304843 1.328 0.814328 0.0178689 1.0 1.05712 0.0210907 1.0 1.13447 0.035389 1.272 1.16452 0.0547041 1.021 2.01631 0.0741682 0.933 2.01628 0.0591835 1.163 1.97781 0.0441083 1.0 2.42616 0.0710805 1.182 2.66177 0.111605 1.237 2.92499 0.119619 0.956 3.46846 0.0649246 1.304 4.87038 0.113799 1.208 5.04986 0.325784 0.888 -99.0 -99.0 0.0 7.31576 0.346779 0.855 7.01097 0.0808305 1.174 -99.0 -99.0 0.0 10.6061 0.290933 1.662 10.5599 0.401716 1.138 5.16671 1.7939 1.823 5.3265 2.33618 1.203 15.3096 1.43804 16.4954 1.54943 1.0715 13.3511 0.22723 16.0625 0.388059 2.184 1.3 4.368 2.3528 0.696 0.3 61.25 0 0.031 0 0 0 0 1 0 -99.0 +110744 10819.694 6128.734 34.1065054 -5.134973 0.193572 0.0184035 1.0 0.267701 0.0112221 1.0 0.261076 0.0194248 0.949 0.375398 0.0141348 1.0 0.438741 0.0277926 0.925 0.517819 0.0177082 1.0 0.874976 0.0210081 1.0 0.881305 0.033895 0.96 1.03022 0.0542011 0.93 1.48958 0.0741427 1.049 1.50672 0.057408 0.922 1.43495 0.0439915 1.0 1.61004 0.0687113 0.941 2.25407 0.110863 0.981 2.18685 0.119591 1.116 3.22498 0.0649095 1.033 4.02851 0.113771 0.984 3.43035 0.325753 0.949 0.100037 1.23804 inf 4.92487 0.346753 1.076 5.63835 0.0808022 1.001 0.108371 1.13486 inf 5.94653 0.262677 1.719 3.70361 0.47185 0.675 3.53313 2.00758 1.648 0.590881 2.90622 0.821 11.9798 1.45576 12.8789 1.56502 1.0691 10.2473 0.227207 12.4023 0.388043 2.208 1.3 4.4161 2.2842 0.69 0.096 56.76 2 0.06 0 0 2 0 1 0 -99.0 +208039 4625.947 11009.764 34.5700723 -4.7711502 0.861449 0.0226594 1.0 0.938301 0.0117995 1.0 0.990444 0.0261762 1.151 1.10393 0.014629 1.0 1.2502 0.0332916 1.078 1.2527 0.018104 1.0 1.60283 0.0213363 1.0 1.64992 0.0382509 1.12 2.99029 0.0611336 1.026 2.62041 0.0741974 0.99 2.67386 0.0613988 1.02 2.34638 0.0441875 1.0 2.78401 0.0720948 1.166 2.89465 0.112027 1.238 3.11544 0.119626 1.016 3.16479 0.0649057 1.226 3.9407 0.113768 1.136 3.00667 0.325745 0.925 -99.0 -99.0 0.0 4.24572 0.346745 0.912 4.72972 0.0807835 1.102 -99.0 -99.0 0.0 4.76532 0.268051 0.916 4.13957 0.377134 0.964 -0.363212 2.11926 0.823 6.91051 2.48066 0.78 14.8106 1.95946 15.2932 2.02331 1.0269 10.5282 0.227209 14.0813 0.388051 2.8789 1.3 5.7578 3.2334 0.961 0.3 85.55 3 0.029 0 0 3 0 1 0 -99.0 +123034 3475.787 6709.435 34.6562219 -5.0917378 0.0100707 0.0169231 1.0 0.0338181 0.0110137 1.0 0.0301994 0.0167293 1.255 0.0548065 0.0139117 1.0 0.0882361 0.0250468 1.171 0.114426 0.0174872 1.0 0.231052 0.0207133 1.0 0.206333 0.0295448 1.136 0.28712 0.0513286 0.691 0.655229 0.0741022 1.011 0.556018 0.0539395 1.187 0.553816 0.0438012 1.0 0.770891 0.0661868 1.098 0.911204 0.108382 1.064 1.04055 0.119548 1.083 1.55327 0.0648052 1.266 3.35487 0.113749 1.24 3.65697 0.325758 1.022 -99.0 -99.0 0.0 5.64346 0.346761 1.109 5.16414 0.0807924 1.136 -99.0 -99.0 0.0 10.5505 0.341599 0.906 11.0144 0.489481 1.089 10.9522 2.42509 1.226 7.25171 2.8746 1.265 8.99691 1.22679 10.0168 1.36586 1.1072 8.33589 0.227193 9.95778 0.388033 1.8952 1.3 3.7903 1.9397 0.57 0.126 -72.19 3 0.412 0 0 3 0 1 0 -99.0 +42131 9856.812 2670.86 34.1784717 -5.3928057 0.207362 0.0182376 1.0 -99.0 -99.0 0.0 0.345497 0.0203214 0.57 -99.0 -99.0 0.0 0.429762 0.0277257 0.801 -99.0 -99.0 0.0 -99.0 -99.0 0.0 0.745906 0.0330683 0.533 0.87913 0.0536295 0.801 1.05922 0.0741218 0.842 1.01062 0.055625 0.58 -99.0 -99.0 0.0 1.07905 0.0671249 0.637 1.22352 0.108964 0.535 1.48213 0.119565 0.919 3.41947 0.0649216 0.942 6.51203 0.113854 0.932 5.91289 0.325801 0.929 -99.0 -99.0 0.0 10.9385 0.34682 0.861 11.4366 0.0809216 0.98 -99.0 -99.0 0.0 24.8397 0.437871 1.327 29.7805 0.570731 1.309 37.5449 2.04077 1.167 24.9812 2.21109 1.193 29.2915 1.68486 30.7721 1.77003 1.0448 23.5091 0.227304 29.1434 0.388115 2.5158 1.3 5.0316 2.6907 0.81 0.309 89.02 3 0.029 0 0 3 0 1 0 -99.0 +10547 11890.401 1107.375 34.026113 -5.5092779 0.0400377 0.0176596 1.0 -99.0 -99.0 0.0 -99.0 -99.0 0.0 -99.0 -99.0 0.0 -99.0 -99.0 0.0 -99.0 -99.0 0.0 -99.0 -99.0 0.0 0.856588 0.0337456 0.057 -99.0 -99.0 0.0 1.7397 0.0741548 1.054 1.38773 0.0569854 0.079 -99.0 -99.0 0.0 1.15374 0.0673503 0.056 -99.0 -99.0 0.0 3.15343 0.119628 0.979 4.9336 0.0650158 1.181 7.30047 0.113881 1.149 7.48804 0.325831 0.965 -99.0 -99.0 0.0 9.90776 0.346808 0.959 10.6875 0.0809062 1.252 -99.0 -99.0 0.0 13.95 0.472219 0.442 13.5634 0.685887 0.329 -99.0 -99.0 0.0 -99.0 -99.0 0.0 18.343 1.27636 20.2437 1.40861 1.0975 16.9546 0.227256 19.1739 0.388072 1.9634 1.3 3.9267 1.8941 0.555 0.059 63.84 0 0.886 0 0 0 0 1 0 -99.0 +93506 7024.315 5272.895 34.3906022 -5.1988697 0.122019 0.0180258 1.0 0.208163 0.0111694 1.0 0.242553 0.0192225 1.007 0.262244 0.0140565 1.0 0.315361 0.0268581 0.987 0.262152 0.0175684 1.0 0.405222 0.0207934 1.0 0.433014 0.0310738 1.051 0.514431 0.0522241 0.931 0.618897 0.0741005 1.093 0.626632 0.0542047 1.075 0.559694 0.0438025 1.0 0.564183 0.06555 0.992 0.545622 0.107697 1.009 0.610859 0.119532 1.041 1.67134 0.0648126 0.972 2.29933 0.113713 0.913 1.92094 0.325725 0.873 -99.0 -99.0 0.0 2.94057 0.346731 1.011 2.75273 0.0807427 0.937 -99.0 -99.0 0.0 4.09163 0.330607 0.881 4.16068 0.48916 1.109 6.97418 2.47686 1.226 1.81655 2.6454 1.557 4.80912 1.19056 5.39211 1.33489 1.115 4.53515 0.227165 5.2595 0.388013 1.8451 1.3 3.6902 1.9588 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1.023 5.30589 0.0807953 0.808 0.0257343 1.13485 inf 6.22539 0.284367 1.532 7.29202 0.377338 1.858 11.7374 2.13949 1.12 8.75116 2.06707 2.415 10.6856 1.34601 11.6613 1.46891 1.0853 9.5549 0.227202 11.3679 0.388039 2.0588 1.3 4.1176 2.1978 0.655 0.174 -11.37 1 0.064 0 0 1 0 1 0 -99.0 +68806 8666.661 4023.331 34.2676247 -5.292007 -99.0 -99.0 0.0 0.857728 0.0117316 1.0 0.933432 0.0257124 0.834 1.05986 0.0145996 1.0 1.09759 0.0323288 0.921 1.08001 0.0180117 1.0 1.24504 0.0211756 1.0 1.41074 0.0369505 0.903 1.25519 0.0550412 1.008 1.64999 0.0741504 0.697 1.60934 0.05777 0.911 1.47661 0.0440005 1.0 1.67155 0.0688927 0.91 1.72285 0.109888 0.933 2.04347 0.119586 0.678 3.09516 0.0649014 1.148 3.61748 0.113757 1.072 3.38453 0.325753 0.837 -99.0 -99.0 0.0 4.64321 0.34675 0.767 4.87504 0.0807865 1.138 -0.00933921 1.13484 inf 7.5914 0.244488 1.322 8.46459 0.386406 0.647 8.94854 1.72496 1.572 5.54562 2.45357 0.805 14.7789 1.59036 15.6552 1.68466 1.0535 12.1205 0.227221 15.0577 0.388055 2.3894 1.3 4.7789 3.2113 0.87 0.329 -14.36 3 0.029 0 0 3 0 1 0 -99.0 +105366 821.13 5851.95 34.8549598 -5.1555729 -99.0 -99.0 0.0 -99.0 -99.0 0.0 -99.0 -99.0 0.0 -99.0 -99.0 0.0 -99.0 -99.0 0.0 -99.0 -99.0 0.0 -99.0 -99.0 0.0 -99.0 -99.0 0.0 -99.0 -99.0 0.0 -99.0 -99.0 0.0 -99.0 -99.0 0.0 -99.0 -99.0 0.0 -99.0 -99.0 0.0 -99.0 -99.0 0.0 -99.0 -99.0 0.0 1.4514 0.0647989 1.063 1.88047 0.113699 1.016 -99.0 -99.0 0.0 -99.0 -99.0 0.0 -99.0 -99.0 0.0 2.72636 0.0807422 1.05 -99.0 -99.0 0.0 14.4946 0.332462 1.423 9.23298 0.349772 2.077 69.0395 2.37824 1.227 29.1336 2.20446 1.973 5.73186 1.26881 6.33421 1.40214 1.099 5.30005 0.227171 5.70591 0.388015 1.953 1.3 3.906 2.3233 0.677 0.146 74.77 0 0.036 0 0 0 0 1 0 -99.0 +177759 834.146 9420.139 34.8538185 -4.8895528 0.742872 0.0228563 1.0 0.903167 0.01177 1.0 1.11896 0.0271926 0.892 1.61798 0.0149679 1.0 2.36558 0.0396236 0.974 2.43528 0.0187233 1.0 4.75164 0.0227019 1.0 5.20951 0.0540233 0.983 5.96721 0.0703681 0.973 7.44709 0.0744306 1.116 7.73037 0.0763149 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1.06 0.5662 0.0524259 1.083 0.91235 0.0741147 0.952 0.907981 0.055249 1.195 1.03198 0.0439046 1.0 1.2567 0.0676598 1.336 1.85553 0.110132 1.202 2.33605 0.119597 1.051 3.98774 0.064957 1.567 8.41912 0.113918 1.539 7.73073 0.325836 0.903 -99.0 -99.0 0.0 13.6855 0.346851 0.866 14.8136 0.080991 1.389 -99.0 -99.0 0.0 29.8681 0.508992 0.968 34.9646 0.629085 0.932 29.4175 1.75217 1.583 26.0414 2.3601 0.91 41.8172 1.83619 43.4737 1.90893 1.0339 32.4208 0.227369 40.9784 0.388166 2.7166 1.3 5.4332 2.9347 0.874 0.318 11.61 0 0.029 0 0 0 0 1 0 -99.0 +204435 6395.82 10826.66 34.4376617 -4.7848114 0.499969 0.0198641 1.0 0.585777 0.0114996 1.0 0.600632 0.0228178 1.092 0.693058 0.0143524 1.0 0.853323 0.0307253 1.323 0.923702 0.0179279 1.0 1.24648 0.0211762 1.0 1.28709 0.0362599 1.108 1.33297 0.0553286 1.173 2.09262 0.0741719 1.016 2.32177 0.0602228 1.195 2.12965 0.0441409 1.0 2.21721 0.0704815 1.418 3.07519 0.112353 1.275 3.43082 0.119638 0.987 4.25957 0.0649739 0.94 6.28995 0.113847 0.987 6.87958 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0.227243 17.8022 0.388067 2.0708 1.3 4.1415 2.1727 0.648 0.093 -34.46 3 0.06 0 0 3 0 1 0 -99.0 +53763 6031.808 3243.99 34.464908 -5.3501368 0.388651 0.0199843 1.0 0.413895 0.0113505 1.0 0.430919 0.02119 1.137 0.437435 0.0141775 1.0 0.538851 0.0285284 1.098 0.530593 0.0177152 1.0 0.997283 0.0210636 1.0 1.03567 0.0348136 0.941 1.31296 0.0552548 0.971 1.31759 0.0741343 0.723 1.37117 0.0569264 0.973 1.33881 0.0439708 1.0 1.48998 0.0683558 0.773 1.65139 0.109756 0.881 1.41513 0.119562 0.764 1.80823 0.0648211 1.053 1.93258 0.113701 1.078 1.82063 0.325723 0.822 -99.0 -99.0 0.0 1.20439 0.346711 0.754 1.94069 0.080726 1.115 -99.0 -99.0 0.0 1.24773 0.295695 0.789 0.0849557 0.472616 0.735 2.09365 2.76228 0.796 0.648904 2.73055 0.911 3.64041 1.11074 4.15008 1.26625 1.1337 3.50532 0.227157 3.69059 0.388006 1.7343 1.3 3.4685 2.1385 0.623 0.106 4.48 0 0.05 0 0 0 0 1 0 -99.0 +98110 9729.673 5523.51 34.1880793 -5.1801338 0.0578462 0.016856 1.0 0.062242 0.0110392 1.0 0.0949578 0.0175273 0.864 0.220828 0.0140277 1.0 0.50629 0.0282912 0.951 0.578286 0.0177411 1.0 1.62241 0.0213451 1.0 1.73213 0.0386878 0.904 -99.0 -99.0 0.0 3.00306 0.0742159 1.052 3.11099 0.0628283 0.992 2.8172 0.0442884 1.0 -99.0 -99.0 0.0 4.41084 0.114736 0.994 4.99403 0.119698 1.09 8.08149 0.0652113 0.981 14.3553 0.114116 0.961 13.5952 0.325948 0.929 0.348911 1.23807 inf 21.7253 0.34694 0.95 23.0619 0.0811604 0.963 0.527134 1.13495 inf 28.0777 0.478531 1.644 20.2299 0.472702 1.154 21.9741 1.88139 1.425 15.0578 2.27013 1.224 56.1015 1.75254 58.6424 1.83191 1.0395 46.6174 0.227473 55.7908 0.38823 2.6058 1.3 5.2116 2.5428 0.77 0.129 -70.81 0 0.03 0 0 0 0 1 0 -99.0 +191710 2504.095 10156.419 34.7288412 -4.8347237 -99.0 -99.0 0.0 0.427007 0.011362 1.0 -99.0 -99.0 0.0 0.743039 0.0143863 1.0 -99.0 -99.0 0.0 1.08734 0.0180157 1.0 1.77914 0.0214151 1.0 -99.0 -99.0 0.0 -99.0 -99.0 0.0 -99.0 -99.0 0.0 -99.0 -99.0 0.0 2.61511 0.0442451 1.0 -99.0 -99.0 0.0 -99.0 -99.0 0.0 -99.0 -99.0 0.0 6.13141 0.0650903 1.263 10.2827 0.11398 1.175 9.48377 0.325869 0.877 -99.0 -99.0 0.0 16.4574 0.346881 0.856 17.9074 0.0810546 1.134 -99.0 -99.0 0.0 25.736 0.490871 0.929 18.6022 0.534041 0.795 13.7838 2.51102 0.966 12.7739 3.04446 0.804 36.4366 1.60306 38.5489 1.69599 1.0521 30.5093 0.227355 36.6458 0.388147 2.4064 1.3 4.8129 2.1527 0.663 0.141 23.05 3 0.104 0 0 3 0 1 0 -99.0 +102722 9180.461 5731.891 34.2291986 -5.1646136 0.0597422 0.016974 1.0 0.0986027 0.0110718 1.0 0.118286 0.0178059 0.911 0.147375 0.0139765 1.0 0.196606 0.0259268 1.059 0.19573 0.0175319 1.0 0.265969 0.0207294 1.0 0.25712 0.0298942 0.971 0.322324 0.0514683 0.941 0.44227 0.0740919 1.138 0.395668 0.0533322 1.023 0.396095 0.043767 1.0 0.437688 0.0651572 0.998 0.453421 0.107523 1.047 0.750783 0.119537 1.079 1.29507 0.0647891 1.432 3.04558 0.113738 1.314 3.70754 0.325759 0.985 -99.0 -99.0 0.0 5.16658 0.346755 1.075 5.95767 0.0808088 1.209 -99.0 -99.0 0.0 10.4558 0.321664 0.683 13.1139 0.489706 0.609 16.3251 2.21326 0.803 13.7749 2.73813 0.848 13.9138 1.55098 14.7964 1.64937 1.0576 11.6437 0.227217 14.1925 0.388051 2.3365 1.3 4.6731 2.4836 0.746 0.127 -48.42 3 0.031 0 0 3 0 1 0 -99.0 +13030 8579.197 1280.478 34.2741172 -5.496497 2.54699 0.0315843 1.0 4.28483 0.0143374 1.0 5.99541 0.0528943 0.4 10.8137 0.0200867 1.0 18.9774 0.0919041 0.478 20.6124 0.0264788 1.0 28.721 0.0311955 1.0 -99.0 -99.0 0.0 33.9768 0.127974 0.524 41.9395 0.0760764 0.721 42.2761 0.140917 0.572 37.8333 0.0512384 1.0 42.4526 0.145932 0.589 -99.0 -99.0 0.0 50.3697 0.121404 0.664 60.454 0.0683816 1.111 81.2887 0.116329 1.114 79.4042 0.327201 0.761 -99.0 -99.0 0.0 100.627 0.347819 0.757 103.865 0.0828013 1.141 -99.0 -99.0 0.0 54.6053 0.854145 0.946 46.9611 0.794405 1.091 36.1606 2.23094 0.797 50.6308 2.52457 0.896 276.592 2.12455 283.57 2.17815 1.0196 219.947 0.228738 265.552 0.389128 3.0943 1.3 6.1885 2.7302 0.832 0.152 59.85 2 0.022 0 0 2 0 1 0 -99.0 +72405 375.568 4189.071 34.8883966 -5.2795236 0.338664 0.0199375 1.0 0.418869 0.0113549 1.0 0.491923 0.0217891 0.728 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1.87196 0.119579 1.121 4.52219 0.0649902 0.301 8.74276 0.113929 0.305 8.7918 0.325856 1.059 -99.0 -99.0 0.0 14.8157 0.346863 0.978 14.2288 0.080979 0.228 -99.0 -99.0 0.0 28.3528 0.553304 0.297 34.4116 0.6571 0.472 -99.0 -99.0 0.0 -99.0 -99.0 0.0 41.1682 1.71082 43.1548 1.79338 1.0425 33.8342 0.22738 41.0248 0.388166 2.5504 1.3 5.1007 3.0329 0.872 0.039 29.48 3 0.029 0 0 3 0 1 0 -99.0 +129243 11731.179 7030.297 34.0383214 -5.0677181 -99.0 -99.0 0.0 -99.0 -99.0 0.0 0.581834 0.0226433 0.825 -99.0 -99.0 0.0 1.30902 0.0336553 0.821 -99.0 -99.0 0.0 -99.0 -99.0 0.0 -99.0 -99.0 0.0 -99.0 -99.0 0.0 -99.0 -99.0 0.0 -99.0 -99.0 0.0 -99.0 -99.0 0.0 -99.0 -99.0 0.0 -99.0 -99.0 0.0 -99.0 -99.0 0.0 8.53269 0.0652393 0.551 13.134 0.114076 0.603 -99.0 -99.0 0.0 -99.0 -99.0 0.0 -99.0 -99.0 0.0 21.1939 0.0811221 0.624 -99.0 -99.0 0.0 31.0552 0.55545 0.937 25.6365 0.582512 0.898 23.3366 2.4507 0.78 24.8885 2.68936 0.793 46.7659 1.55098 49.7327 1.64937 1.0576 40.0874 0.227425 47.4033 0.388194 2.3365 1.3 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4.81343 1.21737 5.3681 1.35765 1.1091 4.40704 0.227164 5.06123 0.388012 1.8822 1.3 3.7643 2.1335 0.623 0.32 60.99 0 0.123 0 0 0 0 1 0 -99.0 +12195 11281.382 1179.997 34.0717292 -5.5038945 0.197051 0.0191033 1.0 -99.0 -99.0 0.0 -99.0 -99.0 0.0 -99.0 -99.0 0.0 -99.0 -99.0 0.0 -99.0 -99.0 0.0 -99.0 -99.0 0.0 0.55545 0.0318691 0.084 -99.0 -99.0 0.0 0.666785 0.0741028 1.019 0.83908 0.0549951 0.144 -99.0 -99.0 0.0 0.658497 0.0658413 0.08 1.88205 0.110181 0.123 1.49652 0.119565 0.949 2.11664 0.0648404 1.125 3.58899 0.113756 1.101 3.79463 0.32576 0.863 -99.0 -99.0 0.0 5.21488 0.346756 0.94 4.87175 0.0807864 1.194 -99.0 -99.0 0.0 8.36587 0.43884 0.497 8.4425 0.604179 0.467 -99.0 -99.0 0.0 -99.0 -99.0 0.0 7.73289 1.12433 8.78867 1.27784 1.1303 7.51181 0.227187 8.00781 0.388025 1.7532 1.3 3.5064 1.804 0.528 0.054 -62.02 0 0.927 0 0 0 0 1 0 -99.0 +42240 10574.897 2682.716 34.124699 -5.3918956 1.04602 0.0246613 1.0 -99.0 -99.0 0.0 1.18501 0.0277005 0.352 -99.0 -99.0 0.0 2.02009 0.0377759 0.561 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0.114035 1.035 10.9631 0.325897 1.086 -99.0 -99.0 0.0 13.2402 0.346846 1.023 14.1194 0.0809767 1.093 -99.0 -99.0 0.0 22.395 0.430686 1.23 24.1985 0.5182 2.137 23.4332 2.2123 1.175 19.2787 2.05055 2.475 28.9844 1.43417 31.2447 1.54601 1.072 25.8435 0.227321 29.643 0.388117 2.1787 1.3 4.3575 2.2129 0.665 0.027 59.23 2 0.035 0 0 2 0 1 0 -99.0 +111487 4646.261 6165.491 34.568619 -5.1323137 1.11864 0.0231197 1.0 1.27704 0.0120807 1.0 1.42374 0.0294634 1.206 1.69664 0.0150191 1.0 2.81971 0.0419286 1.171 3.10204 0.0190636 1.0 3.80413 0.0222998 1.0 3.98885 0.0491878 1.042 3.7722 0.0636889 1.045 4.24254 0.0742759 1.001 4.48013 0.0671088 1.182 3.95413 0.0445311 1.0 4.51565 0.0768141 1.168 4.91489 0.115622 1.048 5.08044 0.119701 1.109 5.01742 0.065021 1.072 5.75555 0.113829 1.063 5.6282 0.325795 1.036 -99.0 -99.0 0.0 5.94107 0.346764 1.071 6.27235 0.0808152 1.074 -99.0 -99.0 0.0 5.01567 0.222204 0.884 3.76092 0.30385 0.994 0.529407 1.55416 1.177 4.90908 1.9261 1.213 19.6297 1.71762 20.5674 1.79967 1.042 15.9131 0.227248 19.5576 0.388074 2.5594 1.3 5.1189 3.2791 0.907 0.164 60.62 0 0.029 0 0 0 0 1 0 -99.0 +199270 11731.052 10543.777 34.0384989 -4.8057779 0.0690493 0.0179396 1.0 0.252169 0.0112084 1.0 0.355946 0.0204296 0.913 0.371547 0.0141321 1.0 0.460728 0.0279559 0.913 0.478882 0.017687 1.0 0.627053 0.0208951 1.0 0.601147 0.0321609 0.917 0.617689 0.0526258 1.089 0.916849 0.0741149 1.314 0.814604 0.0549046 0.841 0.880109 0.0438718 1.0 1.00325 0.0668954 0.95 1.25847 0.109029 0.933 1.40675 0.119562 1.142 2.94327 0.0648919 0.71 5.83368 0.113832 0.753 6.56281 0.325813 1.09 -99.0 -99.0 0.0 10.2986 0.346813 1.202 9.00988 0.0808716 0.748 -99.0 -99.0 0.0 18.4544 0.469066 0.625 29.0195 0.589287 1.995 -99.0 -99.0 0.0 117.333 3.07317 1.665 16.8033 1.37151 18.2701 1.49123 1.0813 14.6462 0.227239 17.0472 0.388063 2.0936 1.3 4.1871 2.0278 0.607 0.265 -71.96 0 0.777 0 0 0 0 1 0 -99.0 +85665 8803.102 4885.121 34.2574282 -5.2277535 0.36248 0.0204356 1.0 0.439546 0.0113729 1.0 0.586609 0.0226877 1.067 0.858143 0.0144641 1.0 1.1783 0.0328415 1.072 1.12873 0.0180378 1.0 1.23572 0.0211714 1.0 1.37896 0.0367742 0.912 1.41393 0.0556263 0.94 1.71804 0.0741537 1.19 1.7524 0.0582708 1.018 1.43911 0.0439924 1.0 1.63439 0.0687832 0.853 1.72157 0.109886 0.934 1.85384 0.119579 0.943 1.81346 0.0648215 1.162 1.82271 0.113697 1.081 1.54876 0.325718 1.021 0.0239444 1.23803 inf 2.51949 0.346726 1.119 2.46242 0.0807367 1.141 2.09889 1.13528 inf 1.76916 0.30863 0.925 2.07627 0.493165 0.89 -1.9608 2.6717 1.199 -2.23614 3.39137 1.088 4.59576 1.10115 5.25128 1.25821 1.1363 4.35822 0.227164 4.85252 0.388011 1.7209 1.3 3.4417 2.1326 0.618 0.194 32.12 3 0.128 0 0 3 0 1 1 0.3192 +227609 6654.281 11962.96 34.4183291 -4.7000966 0.029225 0.0174276 1.0 0.0127917 0.0109947 1.0 0.0229339 0.0166374 1.235 0.0161337 0.0138846 1.0 0.0785506 0.0249666 1.602 0.0370948 0.0174445 1.0 0.0407363 0.0206254 1.0 0.0723974 0.0286031 1.162 0.0480592 0.0503697 1.008 0.100042 0.0740753 0.914 0.106733 0.0522202 1.245 0.0862613 0.0436999 1.0 0.30845 0.0647535 1.111 0.331689 0.107293 1.218 0.146406 0.119514 0.952 0.922923 0.0647659 0.967 2.68341 0.113726 0.992 2.62433 0.325738 0.98 -99.0 -99.0 0.0 4.71714 0.34675 0.935 4.73045 0.0807835 0.991 -99.0 -99.0 0.0 8.61299 0.311673 1.233 9.3632 0.487346 0.98 15.132 2.52561 0.891 5.33878 2.80072 0.979 8.74277 1.44605 9.41043 1.55648 1.0704 7.93741 0.22719 9.05228 0.388029 2.1949 1.3 4.3897 1.9893 0.606 0.055 -39.43 0 0.214 0 0 0 0 1 0 -99.0 +32954 7219.956 2239.37 34.3759297 -5.4250305 -99.0 -99.0 0.0 0.953035 0.0118119 1.0 1.38853 0.0292101 0.908 2.26383 0.0153831 1.0 4.90611 0.0512022 0.75 5.8741 0.0204177 1.0 11.8765 0.0255236 1.0 12.7379 0.0774377 0.769 14.961 0.0928465 0.773 18.961 0.074984 0.727 19.1899 0.102368 0.746 17.4911 0.0473252 1.0 20.2462 0.110835 0.695 23.8729 0.145079 0.685 25.1391 0.120458 0.708 33.4529 0.0667659 1.002 47.3769 0.115213 1.012 49.4706 0.326632 0.89 -99.0 -99.0 0.0 62.8514 0.347399 0.781 64.2164 0.0820002 1.008 -99.0 -99.0 0.0 55.5893 0.875023 1.406 37.3868 0.686679 1.09 37.1308 2.43558 0.783 17.1449 2.49771 1.115 144.999 1.80833 150.997 1.88313 1.0356 119.48 0.228006 143.064 0.388604 2.6796 1.3 5.3593 2.3514 0.728 0.158 82.76 0 0.035 0 0 0 0 1 0 -99.0 +40558 6679.568 2595.191 34.4164005 -5.3985065 0.044185 0.0167699 1.0 0.0997617 0.0110728 1.0 0.127933 0.0179199 0.911 0.148319 0.0139772 1.0 0.154634 0.0255896 0.91 0.18469 0.0175259 1.0 0.239378 0.0207171 1.0 0.222146 0.029654 0.868 0.327061 0.0514871 1.03 0.328289 0.0740864 0.698 0.368446 0.0532285 0.814 0.42606 0.0437735 1.0 0.403256 0.0650499 0.854 0.272828 0.107182 0.766 0.381101 0.119523 0.846 1.30406 0.0647897 0.983 2.06195 0.113705 1.001 1.80705 0.325722 0.8 -99.0 -99.0 0.0 3.60592 0.346738 0.732 3.69864 0.0807622 0.996 -99.0 -99.0 0.0 6.66153 0.263983 1.115 8.10271 0.350909 1.749 10.9832 1.97866 1.311 6.55703 1.94873 1.975 9.18918 1.43113 9.90957 1.54332 1.0725 7.63245 0.227188 9.28666 0.38803 2.1746 1.3 4.3493 2.6792 0.788 0.277 53.57 3 0.031 0 0 3 0 1 0 -99.0 +74399 2692.288 4298.911 34.7149405 -5.271432 0.0322403 0.0168908 1.0 0.0686103 0.0110449 1.0 0.113253 0.0177462 1.034 0.19486 0.0140096 1.0 0.259021 0.0264204 0.927 0.296581 0.0175873 1.0 0.363227 0.0207741 1.0 0.376583 0.0307003 1.093 0.378369 0.0516899 1.037 0.433407 0.0740915 1.174 0.531212 0.053846 0.988 0.451446 0.043779 1.0 0.510354 0.0653832 1.054 0.455951 0.107528 0.907 0.620844 0.119532 1.062 0.786825 0.0647574 0.903 1.95842 0.113702 0.864 1.52468 0.325717 1.179 -99.0 -99.0 0.0 2.52073 0.346726 1.128 2.60264 0.0807396 0.898 -99.0 -99.0 0.0 4.56724 0.309703 0.735 4.60558 0.380599 1.928 8.44002 2.66337 0.819 9.85405 2.18964 1.989 4.74695 1.14761 5.36924 1.29806 1.1249 4.52644 0.227165 5.17193 0.388012 1.7856 1.3 3.5711 2.063 0.603 0.082 67.42 0 0.046 0 0 0 0 1 0 -99.0 +91074 3968.305 5246.14 34.6193855 -5.2008447 0.0479748 0.0159377 1.0 0.0741615 0.0110499 1.0 0.105288 0.0176512 1.283 0.172941 0.0139943 1.0 0.276314 0.0265555 1.109 0.286718 0.0175819 1.0 0.756025 0.0209539 1.0 0.818132 0.0335118 1.116 1.04374 0.0542519 1.116 1.7228 0.0741539 1.063 1.79544 0.0584206 1.04 1.74991 0.0440593 1.0 1.99232 0.0698311 1.126 2.9935 0.112206 1.038 4.21923 0.119668 0.98 9.71559 0.0653125 1.002 17.4725 0.11422 0.985 17.5606 0.326023 1.056 -99.0 -99.0 0.0 28.7871 0.347019 1.14 28.4179 0.0812702 1.008 -99.0 -99.0 0.0 47.0772 0.73306 0.66 54.4041 0.865612 0.662 47.8784 1.53667 1.159 28.0724 1.78931 0.796 174.892 3.57639 175.89 3.5968 1.0002 79.9562 0.227717 133.271 0.388562 4.9265 1.3 9.8529 6.1894 1.63 0.36 -30.08 3 0.029 0 0 3 0 1 0 -99.0 +151410 9726.334 8134.587 34.1884086 -4.9854658 0.482378 0.0208368 1.0 0.685715 0.0115854 1.0 0.864983 0.0251443 0.911 1.23003 0.0147129 1.0 1.93282 0.0372947 0.912 2.26578 0.0186358 1.0 4.21152 0.0224736 1.0 4.39509 0.0508481 0.976 5.23297 0.0682068 0.888 6.49345 0.0743846 1.072 6.55595 0.0731223 1.097 5.88438 0.0449401 1.0 6.5461 0.0820026 1.103 7.92187 0.120775 1.006 8.47552 0.119829 1.128 11.4463 0.0654196 0.9 16.2315 0.114179 0.979 15.9426 0.325992 1.097 4.1872 1.23859 inf 21.6607 0.34694 1.1 22.7861 0.0811547 1.01 0.304465 1.1349 inf 25.3499 0.46729 0.868 16.5506 0.487083 1.068 17.4091 2.24718 1.039 15.7429 2.61776 1.213 49.3594 1.66129 51.958 1.74875 1.0468 42.1858 0.227441 49.4453 0.388202 2.4843 1.3 4.9686 2.2802 0.702 0.205 -42.06 0 0.034 0 0 0 0 1 0 -99.0 +144102 2801.555 7771.724 34.7066563 -5.0125212 0.0423283 0.01727 1.0 0.0556982 0.0110333 1.0 0.062484 0.0171318 1.233 0.0993446 0.0139429 1.0 0.142511 0.0254913 0.951 0.215373 0.0175427 1.0 0.481685 0.0208285 1.0 0.510805 0.0315814 1.17 0.640916 0.0527157 0.934 0.935222 0.0741158 0.964 1.06784 0.0558336 1.294 1.05212 0.0439089 1.0 1.10494 0.0672031 1.177 1.98207 0.110365 1.008 1.94059 0.119582 0.919 3.40428 0.0649206 1.322 5.01527 0.113804 1.293 5.18844 0.325787 1.116 -99.0 -99.0 0.0 7.18673 0.346778 1.074 7.1595 0.0808335 1.219 -99.0 -99.0 0.0 11.8956 0.405774 0.56 10.3562 0.587868 0.573 0.884071 2.75026 0.802 9.59518 3.34031 0.799 12.7985 1.25861 14.169 1.39339 1.101 11.8977 0.227219 13.6263 0.388049 1.939 1.3 3.878 1.979 0.582 0.058 -63.74 3 0.154 0 0 3 0 1 0 -99.0 +129157 9269.799 7008.56 34.2225447 -5.0694292 0.0289453 0.0171385 1.0 0.0596193 0.0110369 1.0 0.0885163 0.0174495 0.946 0.134178 0.0139673 1.0 0.184531 0.0258302 0.832 0.192935 0.0175304 1.0 0.191426 0.020695 1.0 0.208175 0.0295576 1.03 0.142274 0.0507498 1.037 0.22915 0.0740816 1.362 0.274112 0.0528673 1.008 0.222369 0.0437294 1.0 0.318058 0.0647836 0.959 0.268703 0.107174 0.944 0.316956 0.11952 1.224 0.763962 0.064756 0.785 1.86529 0.113699 0.856 1.40924 0.325715 1.35 0.0346054 1.23803 inf 2.06361 0.346721 1.342 2.64166 0.0807404 0.83 0.0870549 1.13486 inf 4.8518 0.273719 1.733 5.95343 0.486458 0.685 7.11412 1.9833 2.146 6.80882 3.06667 0.922 4.57412 1.08909 5.24174 1.24805 1.1396 4.45803 0.227164 4.6951 0.38801 1.704 1.3 3.4081 1.9843 0.578 0.15 80.99 0 0.05 0 0 0 0 1 0 -99.0 +20327 8297.893 1623.644 34.2951925 -5.4709192 0.474813 0.0207086 1.0 0.563261 0.0114802 1.0 0.639866 0.0231779 0.605 0.730558 0.0143778 1.0 0.973019 0.0315213 0.73 1.04155 0.0179911 1.0 1.46577 0.0212749 1.0 1.47566 0.0373079 0.605 1.67504 0.0565756 0.847 3.01546 0.0742165 0.708 3.05371 0.0626428 0.714 2.88472 0.0443028 1.0 3.05321 0.0728486 0.734 4.14884 0.114272 0.614 4.5003 0.119679 0.713 5.84772 0.0650726 1.086 10.1791 0.113977 1.089 9.85482 0.325876 0.771 -99.0 -99.0 0.0 13.5851 0.346849 0.759 13.9754 0.0809738 1.106 -99.0 -99.0 0.0 22.0643 0.43247 1.126 31.4505 0.630472 1.113 52.35 2.47722 1.059 48.886 2.73414 1.196 26.7846 1.37461 29.1098 1.49394 1.0808 24.5456 0.227312 27.9447 0.38811 2.0978 1.3 4.1955 2.0829 0.625 0.069 -60.73 0 0.057 0 0 0 0 1 0 -99.0 +174927 11698.122 9264.377 34.0409017 -4.9011616 0.661881 0.0230815 1.0 0.761467 0.01165 1.0 0.846307 0.0249871 0.86 1.06653 0.014604 1.0 1.62519 0.0355464 0.961 1.67259 0.0183262 1.0 1.97564 0.0215025 1.0 2.08656 0.0405173 0.997 1.98617 0.0576863 1.014 2.2113 0.0741776 1.689 2.12953 0.0595709 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5.25988 0.325788 1.077 -99.0 -99.0 0.0 6.46827 0.34677 1.12 6.88041 0.0808278 1.054 -99.0 -99.0 0.0 9.72767 0.352088 0.64 10.736 0.493423 0.679 11.9796 2.61184 0.792 10.4517 2.90874 1.014 13.4543 1.31363 14.7522 1.44035 1.0904 12.313 0.227222 14.0045 0.38805 2.0145 1.3 4.029 2.1441 0.639 0.014 72.15 0 0.042 0 0 0 0 1 0 -99.0 +50244 3828.337 3117.468 34.6299083 -5.3595436 1.18425 0.025991 1.0 3.37451 0.0136937 1.0 5.53802 0.0510367 0.945 11.2798 0.0203118 1.0 20.7445 0.0958012 0.862 23.1267 0.0273791 1.0 34.5449 0.0329301 1.0 35.6494 0.123953 0.728 37.4412 0.133382 0.573 48.9394 0.076406 0.761 49.0553 0.150372 0.812 46.6274 0.0528404 1.0 51.8524 0.158464 0.565 59.1249 0.187957 0.888 62.5654 0.121858 0.757 77.562 0.0693858 1.09 103.504 0.117054 1.076 99.6811 0.327587 0.862 -99.0 -99.0 0.0 125.652 0.348098 0.747 121.112 0.0831474 1.14 -99.0 -99.0 0.0 59.1397 0.926371 1.587 48.2418 0.846117 1.083 36.5139 2.13266 1.587 26.1956 3.28135 0.817 240.475 1.68887 252.549 1.77367 1.0444 208.315 0.228654 239.541 0.389017 2.5209 1.3 5.0417 2.0853 0.647 0.147 16.53 2 0.618 0 0 2 0 1 0 -99.0 +50563 10859.205 3082.385 34.1034252 -5.3620876 0.285226 0.0202017 1.0 -99.0 -99.0 0.0 0.362059 0.0204927 0.506 -99.0 -99.0 0.0 0.42333 0.0276776 0.588 -99.0 -99.0 0.0 -99.0 -99.0 0.0 -99.0 -99.0 0.0 0.575167 0.0524607 0.694 1.02616 0.0741202 1.041 1.12884 0.0560551 0.506 -99.0 -99.0 0.0 1.06366 0.0670783 0.691 -99.0 -99.0 0.0 1.43324 0.119563 1.039 1.63514 0.0648103 1.037 2.16034 0.113709 1.003 2.11905 0.325728 1.092 -99.0 -99.0 0.0 2.88347 0.34673 1.022 2.40445 0.0807355 1.071 -99.0 -99.0 0.0 3.88021 0.364779 1.106 2.19472 0.570981 0.621 3.81394 3.11502 0.726 4.47321 4.82567 0.408 3.43663 1.01905 4.00646 1.18802 1.1594 3.42247 0.227157 4.16502 0.388008 1.6059 1.3 3.2117 1.6663 0.475 0.091 18.07 0 0.945 0 0 0 0 1 0 -99.0 +73876 11469.883 4281.774 34.0577527 -5.2726425 0.489103 0.0195668 1.0 0.61431 0.0115242 1.0 0.707537 0.0237861 0.682 0.936605 0.014517 1.0 1.06426 0.0321147 0.803 1.17354 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0.897 1.77925 0.0648193 0.935 2.09339 0.113706 0.955 1.65568 0.32572 1.067 -99.0 -99.0 0.0 2.20957 0.346722 1.019 2.42658 0.080736 0.947 -99.0 -99.0 0.0 2.91526 0.325288 0.763 2.13883 0.439579 1.109 -1.15346 2.87037 0.831 1.72525 3.00197 1.305 4.45732 1.3499 4.86157 1.47233 1.0847 3.94417 0.227161 4.8834 0.388011 2.0641 1.3 4.1282 2.0035 0.601 0.02 -55.22 0 0.236 0 0 0 0 1 0 -99.0 +169797 1783.658 9030.608 34.7827869 -4.9186323 0.865707 0.0232594 1.0 0.99877 0.0118502 1.0 0.988826 0.0261632 1.297 1.1571 0.0146644 1.0 1.56955 0.035221 1.289 1.6693 0.0183245 1.0 2.12963 0.0215708 1.0 2.21485 0.0411596 1.078 2.35468 0.0589749 1.062 3.60395 0.074245 0.856 3.96383 0.0655275 1.186 3.68644 0.044474 1.0 4.05041 0.0755752 1.077 5.14925 0.116032 1.061 5.08617 0.119701 0.876 -99.0 -99.0 0.0 -99.0 -99.0 0.0 9.25589 0.325865 1.024 -99.0 -99.0 0.0 11.5528 0.346827 0.942 12.3743 0.0809409 1.131 -99.0 -99.0 0.0 15.9363 0.334967 1.41 16.3027 0.470968 0.826 8.89835 1.87744 1.63 17.6984 2.66365 0.843 28.5076 1.65034 30.0363 1.73884 1.0478 23.9149 0.227307 28.3484 0.388112 2.4697 1.3 4.9394 2.4273 0.737 0.206 58.88 2 0.03 0 0 2 0 1 0 -99.0 +185084 10090.261 9793.297 34.1612291 -4.8617912 -99.0 -99.0 0.0 0.49009 0.0114169 1.0 -99.0 -99.0 0.0 0.62834 0.0143083 1.0 -99.0 -99.0 0.0 1.09856 0.0180217 1.0 1.48747 0.0212846 1.0 -99.0 -99.0 0.0 -99.0 -99.0 0.0 -99.0 -99.0 0.0 -99.0 -99.0 0.0 1.63612 0.0440348 1.0 -99.0 -99.0 0.0 -99.0 -99.0 0.0 1.82702 0.119578 1.047 2.29482 0.0648515 0.654 2.51528 0.113721 0.76 2.31932 0.325732 0.921 -99.0 -99.0 0.0 2.39366 0.346725 0.928 3.03777 0.0807486 0.688 -99.0 -99.0 0.0 2.61939 0.246492 1.152 1.72286 0.372696 1.189 0.732808 1.97543 1.168 3.58184 2.26504 1.197 6.63419 1.25793 7.34547 1.3928 1.1011 6.13131 0.227177 6.88605 0.38802 1.9381 1.3 3.8761 2.418 0.695 0.335 14.77 0 0.03 0 0 0 0 1 0 -99.0 +130522 6638.597 7088.889 34.4194849 -5.0634794 1.60602 0.0277902 1.0 1.96139 0.0126296 1.0 2.50586 0.0363986 1.084 3.4468 0.016116 1.0 4.59264 0.049919 1.156 4.33032 0.0196751 1.0 4.62728 0.0226496 1.0 4.80396 0.0524662 0.991 4.72485 0.06667 0.924 6.05956 0.0743636 1.052 6.44128 0.072803 1.157 5.45619 0.0448497 1.0 6.42165 0.081694 0.964 5.88962 0.117317 1.003 5.93778 0.119733 1.023 6.34259 0.0651034 0.713 6.99099 0.11387 0.785 6.48227 0.325812 1.085 0.00109887 1.23803 inf 6.86121 0.346774 1.097 7.52958 0.0808411 0.762 -0.00244626 1.13484 inf 4.16693 0.34499 0.563 3.22109 0.468124 0.646 0.168468 2.69501 0.825 3.55364 3.13278 0.812 14.887 1.32622 16.2931 1.45149 1.0884 13.4082 0.22723 15.862 0.388058 2.0317 1.3 4.0634 2.1639 0.644 0.087 -66.62 0 0.04 0 0 0 0 1 0 -99.0 +238405 3316.648 12463.383 34.6679881 -4.6627565 -99.0 -99.0 0.0 0.360097 0.0113034 1.0 -99.0 -99.0 0.0 0.460242 0.0141932 1.0 -99.0 -99.0 0.0 0.486153 0.0176909 1.0 0.554262 0.0208618 1.0 -99.0 -99.0 0.0 0.685828 0.0528892 1.147 -99.0 -99.0 0.0 0.68669 0.0544293 1.18 0.689622 0.0438306 1.0 0.757629 0.0661461 1.123 -99.0 -99.0 0.0 -99.0 -99.0 0.0 1.35324 0.0647928 1.066 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5.74396 1.17648 6.45873 1.32288 1.1182 5.31835 0.227171 6.36692 0.388018 1.8256 1.3 3.6512 2.4589 0.703 0.233 -74.93 3 0.029 0 0 3 0 1 1 3.0816 +229469 1122.912 12056.375 34.8320952 -4.6930293 0.555474 0.0219798 1.0 -99.0 -99.0 0.0 0.584744 0.0226704 0.996 -99.0 -99.0 0.0 0.931911 0.0312502 0.993 -99.0 -99.0 0.0 -99.0 -99.0 0.0 1.30793 0.0363772 1.083 2.00552 0.0577547 0.885 1.42077 0.0741393 0.916 1.38811 0.0569868 1.035 -99.0 -99.0 0.0 1.30544 0.0678058 0.88 1.67296 0.109796 1.131 1.55225 0.119567 1.013 1.64502 0.064811 1.154 1.73253 0.113694 1.078 2.21444 0.32573 1.091 -99.0 -99.0 0.0 1.87352 0.346719 1.009 2.07217 0.0807287 1.051 -99.0 -99.0 0.0 2.8848 0.475096 0.303 0.807578 0.606425 0.343 -99.0 -99.0 0.0 -99.0 -99.0 0.0 3.80938 1.29926 4.18723 1.42813 1.0931 3.62544 0.227158 4.12531 0.388008 1.9948 1.3 3.9896 2.0207 0.599 0.09 61.66 3 0.181 0 0 3 0 1 0 -99.0 +73953 8677.192 4291.215 34.2668418 -5.2720348 0.549588 0.01979 1.0 0.820382 0.0117001 1.0 1.05628 0.0267018 0.903 1.68722 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0.805 13.6004 0.129949 0.845 13.5763 0.120022 0.849 14.0164 0.0655783 0.945 15.5883 0.114158 0.927 14.8001 0.325971 1.045 -99.0 -99.0 0.0 13.8366 0.346852 0.935 13.3783 0.0809615 0.995 -99.0 -99.0 0.0 6.95532 0.176555 1.952 4.87948 0.244184 1.253 1.44322 1.16998 1.638 5.97014 1.67115 0.81 69.9546 2.56149 70.8308 2.59358 1.0069 40.6107 0.227429 60.3211 0.388249 3.6569 1.3 7.3138 5.2945 1.308 0.491 29.51 0 0.029 0 0 0 0 1 0 -99.0 +185357 9829.912 9806.363 34.1807095 -4.860825 -99.0 -99.0 0.0 -99.0 -99.0 0.0 -99.0 -99.0 0.0 -99.0 -99.0 0.0 -99.0 -99.0 0.0 -99.0 -99.0 0.0 -99.0 -99.0 0.0 -99.0 -99.0 0.0 -99.0 -99.0 0.0 -99.0 -99.0 0.0 -99.0 -99.0 0.0 -99.0 -99.0 0.0 -99.0 -99.0 0.0 -99.0 -99.0 0.0 -99.0 -99.0 0.0 3.6794 0.0649378 0.67 4.3421 0.113782 0.75 4.05126 0.325765 0.906 -99.0 -99.0 0.0 4.1353 0.346744 0.925 4.79804 0.0807849 0.702 -99.0 -99.0 0.0 3.38314 0.260715 1.58 2.48992 0.387571 1.491 0.8579 2.12021 1.632 -0.917072 2.32687 1.612 9.04148 1.22541 10.0689 1.36466 1.1075 8.61394 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26.8552 0.120523 0.761 34.1158 0.0668061 0.969 49.4079 0.11528 0.951 39.1116 0.326434 0.895 -99.0 -99.0 0.0 31.7405 0.347052 0.774 37.2918 0.0814518 1.015 -99.0 -99.0 0.0 55.639 0.877728 1.939 77.2334 1.22867 1.666 128.11 2.85989 1.814 159.33 3.78614 1.037 70.0573 1.55354 74.483 1.65168 1.0573 60.9877 0.227578 70.8635 0.388294 2.3399 1.3 4.6798 1.9973 0.608 0.059 -78.88 2 0.752 0 0 2 0 1 0 -99.0 +101914 4820.232 5677.267 34.5556023 -5.1687157 1.62545 0.0286035 1.0 1.84406 0.0125372 1.0 1.95449 0.0330473 0.928 2.01809 0.0152265 1.0 2.08693 0.0381403 0.854 2.00107 0.0184983 1.0 1.90523 0.0214713 1.0 2.01159 0.0401373 1.101 1.89469 0.057362 1.157 2.08379 0.0741714 1.041 2.06256 0.0593421 1.16 1.84013 0.0440787 1.0 1.90075 0.0695645 1.079 2.03333 0.110459 1.133 2.02272 0.119585 1.023 2.12404 0.0648408 1.051 2.31821 0.113714 1.044 1.97182 0.325726 1.077 -99.0 -99.0 0.0 1.94291 0.346719 1.1 2.37252 0.0807349 1.056 -99.0 -99.0 0.0 3.18006 0.306367 1.234 1.96849 0.547675 0.652 6.79186 2.39522 1.591 3.40692 3.31726 0.814 3.61712 1.03746 4.19751 1.20393 1.1541 3.66933 0.227159 3.81666 0.388007 1.6317 1.3 3.2635 1.7692 0.506 0.12 -69.23 2 0.419 0 0 2 0 1 0 -99.0 +105427 3828.268 5854.049 34.6298564 -5.1555191 0.0280401 0.0165388 1.0 0.178509 0.0111431 1.0 0.159525 0.0182882 1.281 0.364538 0.0141273 1.0 0.546383 0.028583 1.091 0.609577 0.0177581 1.0 0.671552 0.0209154 1.0 0.722356 0.0329223 1.236 0.800623 0.0533301 1.095 0.749191 0.0741068 1.031 0.72593 0.0545756 1.166 0.703233 0.0438335 1.0 0.769509 0.0661825 1.195 0.786638 0.108149 1.154 0.833343 0.11954 0.974 0.840391 0.0647607 1.067 1.14166 0.113675 1.05 1.44135 0.325715 1.044 -99.0 -99.0 0.0 2.57188 0.346726 1.106 2.33711 0.0807341 1.065 -99.0 -99.0 0.0 0.2293 0.327166 0.613 0.552955 0.409465 1.308 -0.401789 2.61291 0.844 1.86308 2.34527 1.62 4.20377 1.1223 4.77972 1.27606 1.1307 4.00381 0.227161 4.33761 0.388009 1.7504 1.3 3.5007 2.0451 0.586 0.055 -14.76 0 0.393 0 0 0 0 1 0 -99.0 +66567 5197.62 3892.624 34.5273671 -5.3017738 0.19233 0.0186878 1.0 0.218922 0.011179 1.0 0.271808 0.0195411 0.905 0.349782 0.0141171 1.0 0.489783 0.0281702 0.9 0.596828 0.0177512 1.0 0.921694 0.0210293 1.0 -99.0 -99.0 0.0 -99.0 -99.0 0.0 -99.0 -99.0 0.0 1.1017 0.0559566 0.932 1.13141 0.043926 1.0 -99.0 -99.0 0.0 1.09406 0.108723 0.918 0.878628 0.119542 0.75 1.49233 0.0648014 0.785 1.63501 0.113691 0.81 1.65998 0.32572 0.773 -99.0 -99.0 0.0 1.16361 0.346711 0.71 1.94241 0.080726 0.807 -99.0 -99.0 0.0 0.17522 0.286506 0.858 0.981254 0.389921 1.757 12.1835 2.43856 1.149 7.41682 2.17273 2.109 3.52433 1.08301 4.04466 1.24291 1.1413 3.41767 0.227157 3.47381 0.388005 1.6956 1.3 3.3911 2.0823 0.596 0.133 19.13 0 0.173 0 0 0 0 1 0 -99.0 +89931 3009.887 5128.87 34.6911386 -5.2095645 0.641415 0.0212662 1.0 0.801205 0.0116838 1.0 0.930538 0.0256887 0.969 1.25082 0.0147266 1.0 1.78651 0.0364737 1.005 2.03035 0.0185135 1.0 3.5187 0.0221772 1.0 3.72507 0.048079 1.097 4.18746 0.0650052 1.099 5.32854 0.0743283 0.975 5.31494 0.0695897 0.921 4.94394 0.0447413 1.0 5.89514 0.0803756 1.013 6.0437 0.117583 0.964 6.63703 0.11976 1.103 9.99768 0.06533 1.062 14.8359 0.114132 0.984 13.9832 0.325955 0.988 -99.0 -99.0 0.0 23.1274 0.346956 0.948 24.83 0.0811966 1.009 -99.0 -99.0 0.0 34.7033 0.584443 0.933 26.356 0.511383 1.888 32.173 2.02702 1.187 24.6579 1.8385 2.359 62.986 1.88266 65.3013 1.95187 1.031 50.2369 0.2275 61.4035 0.388254 2.7779 1.3 5.5558 2.6299 0.805 0.214 4.39 3 0.029 0 0 3 0 1 0 -99.0 +105124 8130.75 5845.369 34.3077804 -5.1561755 0.568762 0.0214107 1.0 0.925037 0.0117884 1.0 1.22599 0.0280111 1.102 1.78257 0.0150748 1.0 2.30935 0.0393288 1.12 2.16614 0.0185841 1.0 2.60897 0.021782 1.0 2.74978 0.0437359 1.022 2.67344 0.0600672 0.887 2.97526 0.0742146 1.589 3.14513 0.0629386 1.101 2.93791 0.0443142 1.0 3.0463 0.0728293 1.132 3.35361 0.112854 1.13 3.27129 0.119632 1.296 3.51149 0.0649273 1.076 3.60211 0.113757 1.001 3.48799 0.325755 1.325 -99.0 -99.0 0.0 3.70399 0.346739 1.429 3.80404 0.0807644 1.042 -99.0 -99.0 0.0 1.82718 0.302111 0.846 1.2578 0.510952 0.605 -3.29534 2.47158 1.063 3.17221 3.17813 0.823 7.02158 1.20182 7.85486 1.34445 1.1125 6.63865 0.22718 7.17895 0.388021 1.8607 1.3 3.7214 2.0649 0.605 0.176 7.43 3 0.071 0 0 3 0 1 1 0.2976 +167253 11728.009 8877.773 34.038647 -4.9299826 0.572579 0.0213618 1.0 0.850876 0.0117259 1.0 0.967008 0.0259866 0.952 1.08123 0.0146139 1.0 1.1168 0.0324516 0.99 1.13535 0.0180413 1.0 1.13543 0.0211261 1.0 1.14541 0.0354521 0.964 1.07712 0.0543773 1.134 1.21945 0.0741296 1.195 1.20229 0.0563206 0.926 1.0555 0.0439096 1.0 1.16256 0.0673769 0.966 1.02882 0.108601 0.955 1.00656 0.119547 1.139 1.62816 0.0648099 0.865 2.12499 0.113707 0.932 2.10246 0.325728 1.3 -99.0 -99.0 0.0 2.0843 0.346721 1.27 2.05741 0.0807284 0.96 -99.0 -99.0 0.0 1.83672 0.233411 1.741 1.42098 0.397267 1.023 2.22895 1.92347 1.658 3.36754 2.86229 0.81 4.30321 1.20404 4.81173 1.34632 1.112 4.0399 0.227161 3.99208 0.388007 1.8638 1.3 3.7275 2.3387 0.673 0.154 65.98 0 0.039 0 0 0 0 1 0 -99.0 +63122 2119.155 3735.44 34.7578711 -5.3134212 0.074182 0.0161928 1.0 0.0895387 0.0110637 1.0 0.0955884 0.0175348 1.003 0.142032 0.0139728 1.0 0.146885 0.0255268 1.014 0.202701 0.0175358 1.0 0.43632 0.0208077 1.0 0.449979 0.0311852 1.02 0.542788 0.0523347 0.985 0.893751 0.0741138 0.877 0.894315 0.0551987 0.993 0.787892 0.0438518 1.0 1.42779 0.0681709 0.896 1.32242 0.109148 0.992 1.99929 0.119584 1.011 3.60994 0.0649334 0.912 6.45511 0.113852 0.929 6.42173 0.325811 0.943 -99.0 -99.0 0.0 8.83063 0.346796 0.872 9.45541 0.0808808 0.883 -99.0 -99.0 0.0 14.5749 0.292515 1.275 14.2071 0.386446 1.004 10.109 1.59759 1.079 8.06113 1.94566 1.197 32.2992 1.84791 33.5553 1.91977 1.0332 24.2834 0.22731 31.5463 0.388126 2.7321 1.3 5.4642 3.5488 0.979 0.327 -67.02 3 0.029 0 0 3 0 1 0 -99.0 +130601 3591.334 7086.198 34.6475645 -5.0636509 0.321262 0.01905 1.0 0.461497 0.011392 1.0 0.533739 0.0221905 1.233 0.562295 0.0142632 1.0 0.584512 0.0288578 1.039 0.586132 0.0177454 1.0 0.609854 0.0208872 1.0 0.638653 0.0323984 1.216 0.665358 0.0528102 0.749 0.714443 0.0741051 0.998 0.685405 0.0544245 1.181 0.66596 0.0438255 1.0 0.687148 0.0659295 1.09 0.61371 0.107825 0.973 0.691932 0.119535 0.961 1.26117 0.064787 1.06 1.88263 0.113699 1.036 2.56766 0.325737 1.211 -99.0 -99.0 0.0 2.41995 0.346725 1.107 2.16685 0.0807306 1.016 -99.0 -99.0 0.0 1.95953 0.25543 0.865 2.01977 0.368735 1.145 9.58339 2.20348 1.11 -0.440959 2.16348 1.437 4.47701 1.20589 5.00421 1.34789 1.1116 4.16948 0.227162 4.71832 0.38801 1.8663 1.3 3.7326 2.3094 0.67 0.152 46.32 0 0.031 0 0 0 0 1 0 -99.0 +90814 6182.204 5144.355 34.4536455 -5.2084558 0.261362 0.0182949 1.0 0.487272 0.0114144 1.0 0.533784 0.0221909 1.082 0.649912 0.014323 1.0 0.740748 0.0299574 1.219 0.690916 0.0178022 1.0 0.757856 0.0209547 1.0 0.769934 0.0332165 1.08 -99.0 -99.0 0.0 0.969953 0.0741175 1.069 0.939717 0.0553655 1.099 0.865895 0.0438687 1.0 -99.0 -99.0 0.0 1.10789 0.108749 1.012 1.10011 0.11955 1.13 1.67457 0.0648128 1.218 2.05773 0.113705 1.154 1.79069 0.325722 0.98 -99.0 -99.0 0.0 2.983 0.346731 0.993 2.79047 0.0807435 1.051 -99.0 -99.0 0.0 3.12811 0.243984 0.851 2.37025 0.379382 0.949 2.26712 2.01689 1.263 5.17111 2.24898 1.178 6.23259 1.29548 6.85533 1.42492 1.0939 5.68545 0.227173 6.3908 0.388018 1.9896 1.3 3.9793 2.4567 0.716 0.275 57.78 0 0.029 0 0 0 0 1 1 2.2544 +86423 4111.232 4925.305 34.6086915 -5.2247673 0.539094 0.0212168 1.0 0.626757 0.0115349 1.0 0.612856 0.0229306 1.013 0.638646 0.0143153 1.0 0.708383 0.0297329 0.886 0.675154 0.0177937 1.0 0.710042 0.0209329 1.0 0.755094 0.033125 1.015 0.751752 0.0531429 1.189 1.11899 0.0741247 1.037 1.12482 0.0560405 0.9 1.16899 0.0439341 1.0 1.1549 0.0673538 1.199 1.41014 0.10931 1.076 1.34634 0.119559 0.969 1.71542 0.0648154 0.958 1.65233 0.113692 0.941 1.89978 0.325724 1.016 -99.0 -99.0 0.0 2.12 0.346721 1.106 2.01521 0.0807275 0.966 -99.0 -99.0 0.0 2.10949 0.281383 1.35 1.28625 0.445979 0.816 1.15322 2.07191 1.751 4.06171 2.85125 1.097 3.57366 1.077 4.10725 1.23781 1.143 3.35904 0.227156 3.90187 0.388007 1.6871 1.3 3.3743 2.0381 0.585 0.19 -31.76 0 0.075 0 0 0 0 1 0 -99.0 +73117 11528.915 4229.817 34.0533307 -5.2765132 0.0580882 0.017566 1.0 0.183187 0.0111473 1.0 0.221166 0.0189862 0.554 0.313732 0.0140921 1.0 0.300982 0.0267471 0.813 0.325965 0.0176034 1.0 0.366576 0.0207757 1.0 0.377436 0.0307059 0.647 0.529712 0.0522837 0.89 0.488785 0.0740942 0.992 0.470472 0.0536164 0.702 0.583096 0.0438075 1.0 0.526931 0.0654346 0.729 0.679589 0.107948 0.687 0.499699 0.119527 0.947 1.27875 0.0647881 1.134 2.46495 0.113719 1.084 2.20237 0.32573 1.03 0.0351265 1.23803 inf 3.35345 0.346735 0.969 3.6205 0.0807606 1.127 -99.0 -99.0 0.0 5.34545 0.345411 1.004 5.27605 0.501435 0.827 6.4873 4.09132 0.377 7.36642 3.60054 0.745 5.95432 1.07545 6.84596 1.23649 1.1434 5.819 0.227174 6.36929 0.388018 1.685 1.3 3.3699 1.8909 0.551 0.038 19.83 3 0.499 0 0 3 0 1 0 -99.0 +18995 8099.379 1542.564 34.3100587 -5.4769675 0.521369 0.0212754 1.0 0.736673 0.0116289 1.0 0.932562 0.0257053 0.659 1.29979 0.014759 1.0 1.97077 0.0375047 0.682 2.21852 0.0186113 1.0 4.58985 0.0226338 1.0 4.74305 0.0522283 0.688 5.6556 0.0694591 0.812 7.41028 0.0744288 1.058 7.57054 0.0758883 0.778 7.09084 0.0451939 1.0 8.29662 0.0862254 0.755 9.26338 0.123004 0.725 10.0427 0.119889 0.832 15.0394 0.0656413 1.096 21.041 0.114339 1.1 20.2088 0.326074 1.071 -99.0 -99.0 0.0 31.0126 0.347044 1.077 32.6255 0.0813563 1.118 -99.0 -99.0 0.0 38.7449 0.646148 1.383 27.2744 0.57959 1.362 27.6802 2.33182 1.23 17.9305 2.6445 1.209 62.4783 1.43479 67.3456 1.54657 1.072 56.3915 0.227545 63.9536 0.388265 2.1795 1.3 4.3591 2.0642 0.622 0.115 24.33 0 0.205 0 0 0 0 1 0 -99.0 +197360 9730.952 10449.978 34.1881335 -4.8128443 -99.0 -99.0 0.0 1.06209 0.011903 1.0 -99.0 -99.0 0.0 1.44541 0.014855 1.0 -99.0 -99.0 0.0 2.18498 0.0185939 1.0 3.06874 0.0219826 1.0 -99.0 -99.0 0.0 -99.0 -99.0 0.0 -99.0 -99.0 0.0 -99.0 -99.0 0.0 4.6124 0.044671 1.0 -99.0 -99.0 0.0 -99.0 -99.0 0.0 6.28124 0.119746 1.105 7.35235 0.0651661 0.836 9.8169 0.113965 0.893 9.20217 0.325864 0.943 -99.0 -99.0 0.0 13.4735 0.346848 0.942 14.202 0.0809784 0.877 -99.0 -99.0 0.0 18.8588 0.368782 2.235 15.8849 0.468288 1.026 12.5683 1.82141 2.432 11.6801 2.78918 0.999 28.1959 1.39468 30.5553 1.51138 1.0777 25.5791 0.227319 29.1185 0.388115 2.1251 1.3 4.2502 2.1515 0.646 0.077 76.11 2 0.043 0 0 2 0 1 0 -99.0 +8915 11129.698 1015.404 34.0830827 -5.516172 0.55311 0.0222961 1.0 -99.0 -99.0 0.0 0.966345 0.0259812 0.055 -99.0 -99.0 0.0 -99.0 -99.0 0.0 -99.0 -99.0 0.0 -99.0 -99.0 0.0 -99.0 -99.0 0.0 -99.0 -99.0 0.0 2.35028 0.0741843 1.005 2.78258 0.0617575 0.143 -99.0 -99.0 0.0 -99.0 -99.0 0.0 3.36587 0.112876 0.148 2.46165 0.119602 0.937 2.43832 0.0648604 1.16 2.71586 0.113727 1.136 2.57294 0.325737 0.835 -99.0 -99.0 0.0 3.08714 0.346732 0.935 2.99013 0.0807476 1.228 -99.0 -99.0 0.0 1.23233 0.443174 0.463 2.18383 0.673692 0.415 -99.0 -99.0 0.0 -99.0 -99.0 0.0 4.53898 1.02103 5.28878 1.1897 1.1588 4.46227 0.227165 5.16877 0.388012 1.6086 1.3 3.2173 1.7687 0.499 0.02 -5.63 0 0.954 0 0 0 0 1 0 -99.0 +238955 2154.999 12529.468 34.7548765 -4.6577977 -99.0 -99.0 0.0 0.294725 0.011246 1.0 0.372878 0.0206038 1.15 0.492309 0.0142152 1.0 0.541454 0.0285473 1.099 0.546832 0.017724 1.0 0.589237 0.0208778 1.0 0.602881 0.0321719 1.209 0.624001 0.0526503 1.094 0.691302 0.074104 0.907 0.669222 0.0543641 1.189 0.696971 0.0438322 1.0 0.811247 0.0663104 1.108 0.748285 0.108077 1.144 0.717166 0.119536 1.306 1.15627 0.0647805 0.558 1.75471 0.113695 0.553 2.02222 0.325727 0.996 -99.0 -99.0 0.0 1.96022 0.34672 0.945 2.24059 0.0807321 0.408 -99.0 -99.0 0.0 2.23688 0.344032 0.794 1.65829 0.502665 0.831 5.33541 3.05422 0.604 6.40182 4.06088 0.406 3.86555 1.12599 4.39181 1.27928 1.1299 3.57366 0.227158 4.45852 0.388009 1.7555 1.3 3.511 1.9601 0.574 0.115 -31.26 0 0.455 0 0 0 0 1 0 -99.0 +180990 10094.626 9570.559 34.1608951 -4.8783969 -99.0 -99.0 0.0 0.500444 0.0114258 1.0 0.479586 0.0216693 1.035 0.542567 0.0142497 1.0 0.602579 0.028987 1.198 0.623329 0.0177656 1.0 0.664983 0.0209124 1.0 -99.0 -99.0 0.0 -99.0 -99.0 0.0 1.05019 0.0741214 0.96 0.972192 0.0554845 0.954 0.889513 0.0438738 1.0 -99.0 -99.0 0.0 1.1172 0.108766 1.003 1.24042 0.119555 0.998 1.52759 0.0648036 0.992 1.84329 0.113698 1.036 1.50329 0.325717 0.836 -99.0 -99.0 0.0 1.16755 0.346711 0.845 2.23758 0.0807321 0.932 -99.0 -99.0 0.0 3.15621 0.275829 1.144 1.71763 0.447059 0.769 0.840384 2.45508 0.996 3.34818 3.04927 0.818 5.7208 1.60158 6.05331 1.69466 1.0523 4.14334 0.227162 5.67543 0.388015 2.4045 1.3 4.809 2.7053 0.843 0.332 56.71 3 0.041 0 0 3 0 1 0 -99.0 +119323 11911.035 6549.801 34.0248365 -5.1035321 -99.0 -99.0 0.0 2.06429 0.0127101 1.0 2.32617 0.0353413 0.766 3.32055 0.0160393 1.0 5.35001 0.0529662 0.871 5.73276 0.0203508 1.0 6.94354 0.0236059 1.0 -99.0 -99.0 0.0 -99.0 -99.0 0.0 9.06929 0.0745088 1.099 -99.0 -99.0 0.0 8.17047 0.0454198 1.0 -99.0 -99.0 0.0 -99.0 -99.0 0.0 11.4637 0.119942 1.049 11.6592 0.0654327 1.197 14.8253 0.114132 1.084 14.2553 0.32596 1.102 -99.0 -99.0 0.0 16.262 0.346879 1.102 17.5121 0.0810465 1.05 -99.0 -99.0 0.0 11.0486 0.312296 2.19 8.71244 0.433686 1.193 9.35584 2.00213 2.18 7.47887 2.55252 1.212 33.9797 1.514 36.2688 1.61599 1.0615 29.7458 0.22735 34.6364 0.388139 2.2867 1.3 4.5734 2.0711 0.632 0.143 40.51 2 0.2 0 0 2 0 1 0 0.5032 +93958 3976.563 5303.404 34.6187662 -5.1965755 1.16711 0.0243007 1.0 1.25262 0.0120606 1.0 1.31864 0.0287007 1.129 1.49872 0.01489 1.0 1.92494 0.0372509 1.07 1.99125 0.0184932 1.0 3.30018 0.0220829 1.0 3.39028 0.0466337 1.124 3.71935 0.0635195 1.078 4.31765 0.0742795 1.067 4.30874 0.066588 1.049 3.97546 0.0445356 1.0 5.12004 0.0783944 1.003 4.4492 0.114803 1.095 4.48816 0.119678 0.983 5.31316 0.0650394 1.014 5.70687 0.113827 1.001 5.89987 0.325801 1.07 -99.0 -99.0 0.0 6.77786 0.346773 1.144 6.64791 0.080823 1.02 -99.0 -99.0 0.0 7.36681 0.284695 0.627 4.5631 0.406821 0.588 5.71844 2.22667 0.781 5.96483 2.39497 0.82 16.6564 1.51807 17.7712 1.61968 1.0611 14.5275 0.227238 16.7687 0.388062 2.2922 1.3 4.5844 2.6732 0.771 0.119 -57.32 1 0.029 0 0 1 0 1 0 0.8406 +147349 4082.011 7921.622 34.6108233 -5.0013758 -99.0 -99.0 0.0 -99.0 -99.0 0.0 1.11484 0.0271607 0.968 1.28889 0.0147518 1.0 1.57894 0.0352761 0.986 1.61806 0.0182975 1.0 2.41281 0.0216958 1.0 2.48946 0.0425016 0.958 3.184 0.0617765 0.943 4.00143 0.0742642 1.019 4.03693 0.0657537 1.015 3.72439 0.0444821 1.0 4.03837 0.0755428 1.154 4.7847 0.115394 1.058 4.88457 0.119693 0.969 5.16904 0.0650304 1.127 6.08432 0.11384 1.092 5.97964 0.325802 1.269 -99.0 -99.0 0.0 7.61569 0.346783 1.151 7.47137 0.0808399 1.091 -99.0 -99.0 0.0 9.6576 0.305502 0.706 7.55277 0.387698 1.185 5.9173 2.10387 1.123 7.10022 2.25576 1.613 18.0799 1.50733 19.3121 1.61005 1.0623 15.1671 0.227243 18.5967 0.38807 2.2777 1.3 4.5555 2.5848 0.772 0.161 59.24 3 0.03 0 0 3 0 1 0 -99.0 +123970 2087.109 6753.53 34.760162 -5.088409 1.47557 0.026718 1.0 1.47543 0.0122423 1.0 1.49459 0.0299665 1.064 1.50365 0.0148932 1.0 1.97986 0.0375548 0.971 2.10438 0.0185521 1.0 2.53663 0.0217503 1.0 2.65969 0.0433127 0.999 2.45683 0.0593271 0.636 3.18288 0.0742246 1.18 2.59086 0.0611236 1.096 2.55566 0.0442323 1.0 2.48066 0.0712359 0.974 2.51348 0.111336 1.023 2.60622 0.119607 1.085 2.48635 0.0648634 1.293 2.72786 0.113728 1.303 2.50455 0.325736 1.215 -99.0 -99.0 0.0 2.30741 0.346724 1.191 2.7577 0.0807428 1.176 -99.0 -99.0 0.0 1.79042 0.25705 1.405 1.23714 0.458737 0.616 0.325901 2.05442 1.439 1.53734 2.69137 0.787 5.55013 1.21357 6.1941 1.35438 1.1099 4.94518 0.227168 6.05974 0.388016 1.8769 1.3 3.7538 2.2461 0.653 0.075 86.74 0 0.035 0 0 0 0 1 0 -99.0 +188569 266.712 9977.576 34.8962469 -4.8479679 0.230266 0.0176593 1.0 0.233898 0.0111923 1.0 0.213779 0.018904 0.741 0.290678 0.0140762 1.0 0.278973 0.0265762 1.043 0.358752 0.0176214 1.0 0.48912 0.0208319 1.0 0.424885 0.0310202 1.043 0.507326 0.0521963 1.044 0.605763 0.0740998 0.962 0.692405 0.0544507 0.983 0.538642 0.0437979 1.0 0.537269 0.0654666 1.123 0.595595 0.10779 1.052 0.718348 0.119536 1.18 1.3578 0.064793 0.672 2.51277 0.11372 0.511 2.01686 0.325726 0.889 -99.0 -99.0 0.0 4.00557 0.346742 0.98 4.14675 0.0807714 0.467 -99.0 -99.0 0.0 8.99518 0.273977 0.523 11.911 0.382828 0.604 14.211 3.2711 0.221 -99.0 -99.0 0.07 13.078 1.76185 13.6616 1.84048 1.0389 10.5304 0.227209 12.9277 0.388046 2.6182 1.3 5.2364 3.2945 0.924 0.266 66.73 0 0.03 0 0 0 0 1 0 -99.0 +90393 2958.966 5124.892 34.6949508 -5.2098597 0.210331 0.0184109 1.0 0.279733 0.0112328 1.0 0.315876 0.0200114 1.032 0.471969 0.0142013 1.0 0.753299 0.0300439 1.108 0.826897 0.0178757 1.0 1.04365 0.0210846 1.0 1.10313 0.0352075 1.15 1.06257 0.0543227 0.942 1.2768 0.0741323 0.968 1.33153 0.0567848 0.934 1.25162 0.043952 1.0 1.23562 0.0675965 1.002 1.49349 0.109465 1.117 1.54124 0.119567 1.116 1.59926 0.0648081 1.021 1.68911 0.113693 0.976 1.55854 0.325718 0.991 -99.0 -99.0 0.0 1.93003 0.346719 0.944 2.07061 0.0807286 1.0 -99.0 -99.0 0.0 1.09115 0.311442 0.879 0.505111 0.376339 1.532 3.90984 2.27719 1.191 0.0779439 2.16279 1.808 4.14617 1.15858 4.67917 1.30752 1.1223 3.82999 0.22716 4.7009 0.38801 1.8008 1.3 3.6016 2.2598 0.651 0.193 50.03 0 0.058 0 0 0 0 1 0 -99.0 +90427 12159.9 5173.205 34.0061385 -5.2061492 4.26271 0.0383641 1.0 5.35095 0.0150563 1.0 6.23884 0.0538569 0.649 8.95126 0.0191607 1.0 15.0407 0.0825638 0.741 16.1592 0.0248041 1.0 19.3698 0.028188 1.0 21.2639 0.0973786 0.679 22.0433 0.107282 0.613 26.9028 0.0753633 1.033 25.931 0.114968 0.697 24.3978 0.0486891 1.0 25.9148 0.120767 0.527 33.4866 0.157931 0.823 33.1448 0.120759 1.138 35.0892 0.0668649 0.562 47.6948 0.115224 0.638 46.3373 0.326572 1.0 -99.0 -99.0 0.0 56.4132 0.347327 1.033 57.5548 0.0818649 0.578 -99.0 -99.0 0.0 37.6569 0.606226 1.071 34.0324 0.616456 0.866 32.6377 2.57054 0.416 59.8542 2.88309 0.48 170.945 2.03194 175.921 2.09109 1.0234 134.011 0.228112 165.415 0.388699 2.9736 1.3 5.9473 3.0566 0.894 0.077 -72.02 2 0.024 0 0 2 0 1 0 -99.0 +87405 6530.614 4978.26 34.4275615 -5.2208386 0.120103 0.0176219 1.0 0.252967 0.0112091 1.0 0.300153 0.0198449 1.058 0.367696 0.0141295 1.0 0.383156 0.0273755 1.12 0.373405 0.0176294 1.0 0.470131 0.0208232 1.0 0.47709 0.0313624 1.072 0.506725 0.052194 0.929 0.543566 0.0740968 1.112 0.620958 0.0541835 1.006 0.581364 0.0438072 1.0 -99.0 -99.0 0.0 0.721322 0.108026 1.014 0.932538 0.119544 1.145 1.44092 0.0647982 1.034 2.03024 0.113704 0.985 1.69448 0.32572 1.013 -99.0 -99.0 0.0 3.48668 0.346737 1.032 3.13935 0.0807507 1.005 -99.0 -99.0 0.0 4.60755 0.312331 0.604 4.69788 0.485817 0.629 9.12435 2.59705 0.818 6.16654 3.02298 0.811 6.64225 1.52306 7.08327 1.62419 1.0605 5.51175 0.227172 6.88634 0.38802 2.299 1.3 4.5979 2.2563 0.683 0.173 50.21 2 0.039 0 0 2 0 1 1 2.1268 +155009 10669.537 8281.781 34.1178283 -4.9744602 1.45092 0.0279699 1.0 1.67163 0.0124001 1.0 1.87676 0.0325471 0.998 1.8505 0.0151187 1.0 1.92581 0.0372557 0.868 1.95139 0.0184724 1.0 1.89033 0.0214646 1.0 2.00723 0.0401151 0.923 2.00849 0.0577652 1.034 2.13876 0.0741741 1.162 2.20058 0.0598126 0.923 1.84704 0.0440802 1.0 -99.0 -99.0 0.0 2.15662 0.110685 0.975 2.83837 0.119616 1.127 2.23761 0.0648479 0.878 2.33161 0.113714 0.954 1.95432 0.325725 1.338 0.684098 1.23812 inf 2.79176 0.346729 1.203 2.29506 0.0807333 0.99 0.0265238 1.13485 inf 2.83188 0.280313 1.912 2.57409 0.46711 1.0 3.33163 2.04938 2.499 0.555823 2.81087 1.117 3.72293 1.02713 4.3313 1.19498 1.157 3.65015 0.227159 3.97375 0.388007 1.6172 1.3 3.2344 1.8872 0.538 0.102 26.84 0 0.127 0 0 0 0 1 0 -99.0 +18822 6625.355 1537.076 34.4204567 -5.4773922 1.55341 0.026942 1.0 2.20982 0.0128231 1.0 2.51329 0.0364416 0.747 2.96922 0.0158242 1.0 4.56641 0.0498101 0.736 5.12436 0.0200605 1.0 7.21477 0.0237154 1.0 7.494 0.0620691 0.795 8.12737 0.0763731 0.754 8.88224 0.0744998 0.676 8.90108 0.0793697 0.853 8.22669 0.0454315 1.0 9.24094 0.0884198 0.644 10.2912 0.124685 0.791 10.3452 0.1199 0.657 11.9245 0.0654491 1.023 16.321 0.114182 1.038 15.9597 0.325993 0.686 -99.0 -99.0 0.0 19.6609 0.346917 0.649 19.9995 0.0810975 1.038 -99.0 -99.0 0.0 18.4024 0.372558 0.93 13.1312 0.390931 1.538 17.8698 2.24948 0.791 11.2537 2.07198 1.428 47.2323 1.63023 49.8503 1.72059 1.0496 40.3249 0.227427 47.4254 0.388194 2.4428 1.3 4.8856 2.4926 0.746 0.182 -28.28 2 0.033 0 0 2 0 1 0 0.6902 +222570 221.311 11726.456 34.8995526 -4.7175849 0.140366 0.0179923 1.0 0.286079 0.0112384 1.0 0.439793 0.0212782 1.097 0.843068 0.014454 1.0 1.79174 0.0365033 1.207 2.10996 0.018555 1.0 4.31327 0.0225168 1.0 4.76874 0.0523288 1.095 5.32561 0.0684832 0.933 7.00178 0.0744091 1.432 7.02865 0.0744238 0.979 6.38205 0.045045 1.0 7.67292 0.084745 1.108 8.84703 0.122316 1.085 9.53106 0.119869 1.295 11.9415 0.0654502 0.513 17.1874 0.114211 0.416 16.8764 0.32601 1.387 -99.0 -99.0 0.0 23.0729 0.346955 1.398 21.873 0.081136 0.342 -99.0 -99.0 0.0 19.3941 0.45029 0.686 12.3147 0.614047 0.327 -99.0 -99.0 0.0 -99.0 -99.0 0.0 45.6246 1.5216 48.6612 1.62287 1.0607 39.9534 0.227424 46.514 0.38819 2.2969 1.3 4.5938 2.2247 0.676 0.13 58.36 0 0.039 0 0 0 0 1 0 -99.0 +49956 7239.895 3056.814 34.3744437 -5.3640871 0.318748 0.0199651 1.0 0.576791 0.0114919 1.0 0.702586 0.0237421 0.826 0.84983 0.0144585 1.0 1.02039 0.0318308 0.966 0.959362 0.017947 1.0 1.00727 0.0210681 1.0 1.07365 0.0350359 0.872 1.04039 0.0542393 0.959 1.10716 0.0741241 0.733 1.24746 0.0564833 0.828 1.08239 0.0439154 1.0 0.927382 0.0666648 0.896 1.30075 0.109107 0.861 1.34578 0.119559 0.751 1.53067 0.0648038 0.874 2.3731 0.113716 0.881 2.42565 0.325734 0.877 0.023476 1.23803 inf 2.19702 0.346722 0.783 2.92454 0.0807462 0.883 0.526951 1.13495 inf 3.21305 0.328542 1.016 2.39013 0.475155 0.944 8.87211 2.70034 1.226 0.329394 2.93678 1.185 4.57556 1.04157 5.30438 1.20748 1.1529 4.46471 0.227165 4.63414 0.38801 1.6375 1.3 3.275 1.8137 0.52 0.061 52.71 0 0.913 0 0 0 0 1 0 -99.0 +95794 6009.474 5392.726 34.4665764 -5.1899382 0.152686 0.018176 1.0 0.425862 0.011361 1.0 0.617793 0.022976 1.168 1.1429 0.014655 1.0 2.54273 0.0405384 1.193 2.90413 0.0189632 1.0 4.35311 0.0225337 1.0 4.47893 0.0511841 1.032 -99.0 -99.0 0.0 6.15597 0.0743683 1.101 6.36585 0.0725923 1.137 5.92897 0.0449495 1.0 -99.0 -99.0 0.0 7.25419 0.11965 1.067 7.43628 0.11979 1.122 9.45517 0.0652964 1.073 12.576 0.114057 1.018 12.3342 0.325923 1.013 -99.0 -99.0 0.0 14.4965 0.34686 1.023 14.9285 0.0809934 1.02 -99.0 -99.0 0.0 9.40885 0.336949 0.89 5.91421 0.489778 0.943 5.28653 2.42159 1.223 5.98201 2.71944 1.226 26.7102 1.31225 29.2931 1.43914 1.0907 24.3843 0.22731 27.7559 0.388109 2.0126 1.3 4.0252 1.9622 0.585 0.062 -23.49 0 0.886 0 0 0 0 1 0 -99.0 +87409 3321.49 4970.412 34.6678149 -5.2213868 0.294256 0.0195572 1.0 0.298609 0.0112494 1.0 0.29109 0.0197482 1.14 0.311216 0.0140904 1.0 0.353032 0.0271468 1.034 0.352676 0.017618 1.0 0.449072 0.0208136 1.0 0.446875 0.0311648 1.139 0.444452 0.05195 1.109 0.514438 0.0740954 1.041 0.587335 0.0540573 0.958 0.623839 0.0438163 1.0 0.611594 0.0656966 1.171 0.87699 0.108318 1.036 1.10291 0.11955 1.141 1.20746 0.0647837 1.109 1.58502 0.113689 1.138 1.44777 0.325716 1.027 -99.0 -99.0 0.0 1.66623 0.346716 1.105 1.99686 0.0807271 1.027 -99.0 -99.0 0.0 2.06509 0.365831 0.576 2.31861 0.463938 1.305 4.86735 2.85483 0.764 -0.438519 2.58588 1.626 3.21123 1.00592 3.7569 1.17686 1.1635 3.13183 0.227155 3.33878 0.388005 1.5874 1.3 3.1747 1.8814 0.538 0.033 -73.61 0 0.222 0 0 0 0 1 0 -99.0 +51812 3642.755 3162.037 34.6438039 -5.3562166 0.26097 0.0187945 1.0 0.272795 0.0112266 1.0 0.348306 0.0203505 0.922 0.45177 0.0141874 1.0 0.673973 0.0294924 0.94 0.718742 0.0178173 1.0 1.44593 0.021266 1.0 1.55165 0.037722 0.951 1.98909 0.0576967 1.062 2.83765 0.0742079 0.772 2.74399 0.0616304 0.994 2.72115 0.0442678 1.0 3.15049 0.073119 0.975 3.54363 0.113194 1.027 3.97396 0.119659 0.779 5.63525 0.0650594 1.094 8.70981 0.113928 1.083 8.78747 0.325856 0.891 -99.0 -99.0 0.0 14.7231 0.346862 0.757 14.4841 0.0809842 1.143 -99.0 -99.0 0.0 22.6592 0.408691 2.306 18.8049 0.467546 1.294 19.1086 1.70335 2.496 12.6017 2.38789 1.22 34.2109 1.76865 35.7213 1.84674 1.0384 27.6323 0.227334 33.4671 0.388134 2.6272 1.3 5.2544 2.4662 0.757 0.189 78.63 3 0.034 0 0 3 0 1 0 -99.0 +157689 9361.829 8413.199 34.2156947 -4.9647042 0.639644 0.0218333 1.0 0.692875 0.0115915 1.0 0.688374 0.0236154 1.015 0.725457 0.0143744 1.0 0.839749 0.0306337 0.981 0.803723 0.0178632 1.0 1.1127 0.0211158 1.0 1.21555 0.0358543 1.044 1.48089 0.0558712 0.953 1.761 0.0741558 1.533 1.86152 0.0586499 1.18 1.6461 0.044037 1.0 1.79924 0.0692677 0.766 1.93139 0.110272 0.978 1.98228 0.119584 1.298 2.13656 0.0648416 0.962 2.15786 0.113709 1.065 2.01461 0.325726 1.55 0.00121848 1.23803 inf 2.77119 0.346729 1.498 2.24999 0.0807323 1.062 0.00484543 1.13484 inf 2.73712 0.272334 0.903 1.48965 0.454293 0.804 -1.5359 2.24647 1.192 5.5106 2.7545 0.814 4.32435 1.15529 4.88354 1.30469 1.1231 4.2071 0.227163 4.64686 0.38801 1.7962 1.3 3.5925 2.1705 0.629 0.037 -29.53 2 0.076 0 0 2 0 1 0 -99.0 +130889 10790.697 7107.133 34.1087147 -5.0620303 0.319459 0.0195571 1.0 0.389744 0.0113294 1.0 0.38819 0.02076 1.071 0.420863 0.0141661 1.0 0.637992 0.0292388 1.104 0.617458 0.0177624 1.0 0.837793 0.0209911 1.0 0.94388 0.0342703 0.959 1.01084 0.0541281 0.926 1.51299 0.0741438 0.999 1.56631 0.0576184 0.971 1.41583 0.0439874 1.0 -99.0 -99.0 0.0 2.38265 0.111098 0.911 2.38674 0.119599 1.073 3.24003 0.0649104 0.624 5.19841 0.11381 0.691 4.74042 0.325778 1.089 0.00978807 1.23803 inf 5.86227 0.346763 1.036 6.36862 0.0808172 0.717 0.0654714 1.13485 inf 9.3146 0.292749 1.49 9.2255 0.485439 0.582 10.5964 2.13764 1.285 9.63716 2.83176 0.785 12.6038 1.2802 13.9004 1.4119 1.0968 11.7017 0.227218 12.9458 0.388046 1.9687 1.3 3.9373 2.1826 0.642 0.184 -22.19 0 0.043 0 0 0 0 1 0 -99.0 +139403 5740.408 7550.125 34.4867102 -5.0290914 1.5236 0.0266294 1.0 1.76303 0.012473 1.0 1.90488 0.0327289 0.981 2.07983 0.015266 1.0 2.86378 0.0421457 0.928 3.08513 0.019055 1.0 4.2524 0.0224909 1.0 4.39972 0.0508667 1.0 4.58552 0.0662424 1.045 5.17598 0.074321 1.121 5.51492 0.0701709 1.013 4.67214 0.0446837 1.0 4.93046 0.0779022 1.294 5.26495 0.116234 1.024 5.14091 0.119703 1.265 6.10947 0.0650889 1.307 7.06361 0.113873 1.251 6.249 0.325807 1.235 -99.0 -99.0 0.0 6.53346 0.346771 1.17 7.5846 0.0808423 1.252 -99.0 -99.0 0.0 6.68019 0.278517 0.615 4.18723 0.402171 0.604 7.37526 2.21241 0.801 -0.257241 2.49257 0.794 18.9746 1.63131 20.0245 1.72157 1.0495 15.6577 0.227247 19.1743 0.388072 2.4443 1.3 4.8886 2.6402 0.783 0.357 -7.59 3 0.031 0 0 3 0 1 0 -99.0 +31859 2650.854 2152.847 34.7181093 -5.4314267 0.0396509 0.0166832 1.0 0.0478788 0.0110263 1.0 0.056026 0.017052 0.806 0.130527 0.0139647 1.0 0.214836 0.0260719 0.842 0.255832 0.017565 1.0 0.515762 0.0208441 1.0 0.487803 0.0314321 0.819 0.624792 0.0526533 1.021 0.960535 0.074117 0.758 0.822845 0.0549351 0.845 0.889481 0.0438738 1.0 0.87899 0.0665174 0.818 1.00049 0.108549 0.867 1.15034 0.119552 0.825 1.42861 0.0647975 0.991 2.054 0.113705 1.004 1.99304 0.325726 0.802 -99.0 -99.0 0.0 1.42302 0.346714 0.734 2.31875 0.0807338 1.011 -99.0 -99.0 0.0 2.2549 0.337195 1.121 1.25193 0.482227 1.152 2.02305 3.12864 0.784 6.94272 3.40823 0.817 4.34422 1.00371 5.08544 1.17497 1.1642 4.26844 0.227163 5.25637 0.388013 1.5842 1.3 3.1685 2.1932 0.618 0.113 77.13 3 0.433 0 0 3 0 1 0 -99.0 +240004 9352.147 12600.249 34.2165329 -4.6525478 0.168448 0.0181278 1.0 0.244825 0.0112019 1.0 0.325339 0.0201109 0.941 0.475867 0.014204 1.0 0.741855 0.029965 0.927 0.834443 0.0178798 1.0 1.88102 0.0214605 1.0 1.97441 0.0399475 0.955 2.39606 0.0591178 0.927 3.1917 0.074225 1.387 3.47035 0.0639795 1.069 3.29014 0.0443895 1.0 3.60414 0.0743673 0.885 4.15681 0.114286 0.995 4.41892 0.119676 1.256 6.47886 0.0651118 0.282 9.15855 0.113943 0.317 8.88985 0.325858 1.468 -99.0 -99.0 0.0 11.9659 0.346831 1.421 12.9437 0.0809526 0.223 -99.0 -99.0 0.0 14.8828 0.423302 0.672 10.5274 0.452667 1.427 -99.0 -99.0 0.0 8.34126 2.6682 1.275 24.9684 1.28828 27.4979 1.4188 1.0952 23.3288 0.227303 25.9521 0.388102 1.9797 1.3 3.9595 2.1244 0.629 0.16 22.55 0 0.17 0 0 0 0 1 0 -99.0 +143719 7920.096 7731.575 34.3235773 -5.0155521 0.400117 0.0196949 1.0 0.729479 0.0116228 1.0 0.811593 0.0246921 1.013 0.929595 0.0145123 1.0 1.03474 0.0319239 0.916 0.958639 0.0179466 1.0 1.00627 0.0210677 1.0 1.05332 0.034917 1.136 0.999771 0.0540864 1.019 1.13649 0.0741256 1.084 1.10726 0.0559768 1.056 1.06318 0.0439113 1.0 1.1193 0.0672464 1.212 1.24212 0.108999 1.151 1.19236 0.119554 1.055 1.41322 0.0647965 0.798 2.34954 0.113715 0.87 2.05772 0.325727 1.075 -99.0 -99.0 0.0 3.08852 0.346732 1.066 2.57512 0.080739 0.851 -99.0 -99.0 0.0 3.38418 0.295485 0.621 3.87407 0.394167 1.187 4.86194 2.57836 0.765 3.82044 2.444 1.578 4.61273 1.24939 5.11502 1.38544 1.1028 4.57917 0.227165 4.86707 0.388011 1.9263 1.3 3.8526 1.9863 0.597 0.19 41.14 0 0.033 0 0 0 0 1 0 -99.0 +195549 11613.322 10335.337 34.0472969 -4.8213227 0.0423305 0.0166852 1.0 0.0982033 0.0110714 1.0 0.11742 0.0177957 1.036 0.19332 0.0140085 1.0 0.29647 0.0267121 1.083 0.329861 0.0176056 1.0 0.440506 0.0208096 1.0 0.436068 0.0310938 0.94 0.455378 0.0519929 0.942 0.460898 0.0740928 1.067 0.445177 0.0535205 0.984 0.467568 0.0437825 1.0 0.432625 0.0651415 0.848 0.58529 0.107771 1.017 0.552168 0.119529 0.969 0.773436 0.0647566 0.66 1.33792 0.113681 0.701 1.69784 0.32572 0.878 -99.0 -99.0 0.0 2.37996 0.346724 0.967 2.00337 0.0807273 0.697 -99.0 -99.0 0.0 2.30152 0.379225 0.631 2.01863 0.437738 1.359 -99.0 -99.0 0.0 7.34823 3.3932 0.82 4.32219 1.1073 4.93138 1.26337 1.1347 3.96486 0.227161 5.02397 0.388012 1.7295 1.3 3.4589 2.4615 0.694 0.179 -57.39 3 0.077 0 0 3 0 1 0 -99.0 +76781 10869.092 4431.827 34.1027394 -5.2614821 1.3592 0.024892 1.0 -99.0 -99.0 0.0 1.72467 0.0315454 0.684 2.09725 0.0152771 1.0 2.75262 0.0415962 0.799 3.06315 0.0190439 1.0 2.65382 0.0218016 1.0 3.17534 0.0456817 0.743 -99.0 -99.0 0.0 3.16583 0.0742238 1.433 3.41653 0.0638084 0.744 2.8647 0.0442985 1.0 -99.0 -99.0 0.0 3.03407 0.112279 0.816 2.43631 0.119601 1.263 2.55006 0.0648674 1.134 2.74603 0.113728 1.088 2.83878 0.325742 1.336 0.00477066 1.23803 inf 2.5528 0.346726 1.423 2.89339 0.0807456 1.124 -0.893772 1.13465 inf 1.50631 0.19127 1.589 1.68733 0.289785 1.254 1.98942 1.65079 1.044 1.091 1.85095 1.191 8.68866 1.54257 9.24756 1.6418 1.0585 7.29078 0.227185 8.82109 0.388028 2.3252 1.3 4.6505 3.1961 0.869 0.244 -82.38 0 0.028 0 0 0 0 1 0 -99.0 +112529 10950.289 6201.874 34.096733 -5.1295148 0.626172 0.0211334 1.0 0.622968 0.0115316 1.0 0.628941 0.0230782 0.9 0.657358 0.0143281 1.0 0.712526 0.0297617 1.002 0.713553 0.0178145 1.0 1.05813 0.0210911 1.0 1.15822 0.0355259 0.925 1.34855 0.055386 1.081 1.63613 0.0741498 1.042 1.5626 0.0576054 0.989 1.36029 0.0439754 1.0 -99.0 -99.0 0.0 1.72798 0.109898 0.952 1.90025 0.11958 1.066 1.72898 0.0648162 1.051 1.75437 0.113695 1.004 2.2381 0.325731 0.943 0.0377833 1.23803 inf 2.34076 0.346724 1.069 2.33801 0.0807342 1.024 -0.0078702 1.13484 inf 2.1167 0.23834 1.605 1.17919 0.433702 0.772 4.87661 1.80047 1.983 1.65157 2.71036 0.971 4.68247 1.17005 5.27205 1.31738 1.1197 4.45795 0.227164 4.73744 0.388011 1.8167 1.3 3.6334 2.2549 0.652 0.089 47.13 0 0.028 0 0 0 0 1 0 -99.0 +60540 9946.186 3576.175 34.1718082 -5.3253086 -99.0 -99.0 0.0 -99.0 -99.0 0.0 1.99247 0.0332889 0.868 -99.0 -99.0 0.0 -99.0 -99.0 0.0 -99.0 -99.0 0.0 -99.0 -99.0 0.0 -99.0 -99.0 0.0 -99.0 -99.0 0.0 6.03097 0.0743623 0.834 -99.0 -99.0 0.0 -99.0 -99.0 0.0 -99.0 -99.0 0.0 -99.0 -99.0 0.0 6.14362 0.119741 0.814 7.03822 0.0651466 1.023 7.54766 0.113889 1.002 6.87547 0.325819 0.92 0.0136078 1.23803 inf 7.63277 0.346783 0.846 8.0855 0.0808526 0.985 -99.0 -99.0 0.0 7.03762 0.376706 1.275 3.57381 0.539791 0.968 5.39255 2.49942 1.458 3.85072 3.24903 0.795 13.2988 0.855709 16.2737 1.04713 1.2169 13.2988 0.227229 13.7174 0.388049 1.3739 1.3 2.7478 2.0127 0.573 0.238 -43.69 3 0.968 0 0 3 0 1 0 0.7986 +23733 8728.028 1778.469 34.2629811 -5.4593675 2.72848 0.0343748 1.0 2.99703 0.0134177 1.0 3.32144 0.0408548 0.403 4.66589 0.0168378 1.0 6.60933 0.0576775 0.53 6.6494 0.0207806 1.0 7.907 0.0239925 1.0 8.47405 0.0652171 0.551 8.33031 0.0769132 0.738 9.46107 0.0745277 0.735 9.56717 0.0810564 0.665 9.07815 0.0456089 1.0 9.46559 0.0889338 0.704 12.0699 0.127541 0.612 11.1545 0.119931 0.677 11.9096 0.0654482 1.131 14.0965 0.114108 1.133 13.5793 0.325947 0.789 -99.0 -99.0 0.0 16.1913 0.346878 0.768 16.4883 0.0810254 1.156 -99.0 -99.0 0.0 9.9064 0.328868 1.225 7.54112 0.465571 1.148 2.21117 2.50602 1.131 3.36012 2.80666 1.266 30.2172 1.36127 32.9037 1.48229 1.0829 27.4212 0.227333 31.4954 0.388125 2.0796 1.3 4.1591 1.9956 0.599 0.031 9.24 0 0.581 0 0 0 0 1 0 0.473 +124770 3322.509 6809.324 34.6676922 -5.0842869 0.0342273 0.0171064 1.0 0.073733 0.0110495 1.0 0.105638 0.0176554 1.172 0.149136 0.0139777 1.0 0.247516 0.0263301 1.152 0.263591 0.0175692 1.0 0.579737 0.0208734 1.0 0.634843 0.0323744 1.139 0.780931 0.0532547 0.909 1.04946 0.0741213 1.641 1.116 0.0560085 1.169 1.18021 0.0439366 1.0 1.50395 0.0683973 1.236 2.0564 0.110501 1.064 2.60609 0.119607 1.372 4.00658 0.0649581 1.313 5.83979 0.113832 1.396 5.26566 0.325789 1.787 -99.0 -99.0 0.0 7.74358 0.346784 1.797 7.92008 0.0808492 1.13 -99.0 -99.0 0.0 11.2417 0.38892 0.627 11.6379 0.504965 0.769 11.2938 2.61267 0.825 -0.333504 3.0126 0.97 14.6049 1.37217 15.8783 1.49181 1.0812 13.2401 0.227229 15.1969 0.388055 2.0945 1.3 4.1889 2.0048 0.595 0.056 68.12 3 0.43 0 0 3 0 1 0 -99.0 diff --git a/diffhtwo/experimental/data/feniks_test_data/feniks_zout_selected_for_testing.ecsv b/diffhtwo/experimental/data/feniks_test_data/feniks_zout_selected_for_testing.ecsv index f9040a31b..ec1fe8b5d 100644 --- a/diffhtwo/experimental/data/feniks_test_data/feniks_zout_selected_for_testing.ecsv +++ b/diffhtwo/experimental/data/feniks_test_data/feniks_zout_selected_for_testing.ecsv @@ -123,103 +123,203 @@ # - pivot416: !!python/tuple [7494.424634848719, 'Pivot wavelength, Angstrom'] # schema: astropy-2.0 id ra dec z_spec nusefilt z_ml z_ml_chi2 z_ml_risk lc_min lc_max z_phot z_phot_chi2 z_phot_risk z_min_risk min_risk z_raw_chi2 raw_chi2 z025 z160 z500 z840 z975 restU restU_err restB restB_err restV restV_err restJ restJ_err dL Lv mass sfr LIR energy_abs Av lw_age_V MLv Lv_p mass_p LIR_p sfr_p Av_p ssfr_p rest414 rest414_err rest415 rest415_err rest416 rest416_err -36886 34.6897527 -5.4124922 -1.0 24 1.5213099 57.009842 0.0016810803 3828.055752116374 79157.48615416403 1.5213099 57.009842 0.0016810803 1.5091658 0.001055534 1.5091658 54.723137 1.5350991 1.5393754 1.542937 1.547315 1.5493451 1.4066212 0.02732265 1.7416008 0.08247638 1.7862394 0.17778158 1.8509859 0.21043861 11099.916934576395 5419801117.631665 899442164.8972957 2.7226367052137603 8172808919.609455 0.0 0.19033788246539002 -99.0 0.16595482848461648 [2.1015275978923413,2.1209824886379214,2.134967778347,2.151052950755151,2.1696425092732716] [869552072.1622863,884730827.6280214,898078039.1864004,909847336.45226,926480191.9136221] [7758760316.064704,7969022042.5789795,8153912546.464581,8316945198.81646,8547349655.496927] 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[756092582.5945913,857844890.1525377,1033452250.3654783,1447308120.2558935,1790849375.9972193] [1102656519.4566462,1339051010.145751,1651028836.5969405,3352392966.878611,4810575844.045235] [0.47282319308552107,0.6555679679183822,0.7671625865363166,0.9993927648949867,1.1632868883719256] [0.1409440910256296,0.17920913140473874,0.30555673928634075,0.7166244734226377,0.9473046739262946] [3.13114738583203e-10,4.590689937792699e-10,8.237579676886554e-10,1.08301815486187e-09,1.1849100827006073e-09] 0.67801917 0.01412338 1.4774705 0.04115951 1.8110979 0.09877473 +60540 34.1718082 -5.3253086 0.7986 12 0.7919913 8.26881 0.008844405 4797.3468847228005 79157.48615416403 0.7986 8.97685 0.007831033 0.8038988 0.007845227 0.7859497 7.743889 0.7785226 0.7853899 0.79810625 0.8306896 0.8684668 3.1969793 0.69548976 4.947445 1.5923388 5.765277 0.16548252 8.076675 0.114335775 5006.723813713796 4989113518.835703 2261777885.7452393 1.368827658451881 4356084140.838591 0.0 0.13495072129671992 -99.0 0.4533426383677605 [1.660504515426001,1.699714454711163,1.8029651528916708,1.8692292636073526,1.9443997381874758] [1994875974.346661,2240458746.1606746,2482282469.620207,2803490103.3042784,3191687004.5410867] [2216438965.0395737,2754419748.3857675,4502620454.672913,6314604199.777102,8003773666.09267] [1.0221736125971772,1.1741214230594301,1.3532042881327135,1.6222013656423688,1.8680965258895452] [0.07707219469320849,0.0915282566278462,0.14248660624032505,0.1856691990495441,0.22060943235230412] [3.398830892198829e-10,4.5513058380800387e-10,5.422789451077271e-10,6.977536009367129e-10,9.081442190695134e-10] 2.1356843 0.23781872 5.192072 1.3124671 6.5990896 0.946615 +23733 34.2629811 -5.4593675 0.473 24 0.472733 26.31634 0.00051148963 3828.055752116374 79157.48615416403 0.473 26.334682 0.0004804122 0.47690743 0.0003567432 0.47690743 27.186481 0.43616953 0.4369468 0.43890446 0.44092992 0.4417356 4.289696 0.05277896 6.700918 0.06292653 8.344032 0.063091755 15.150409 0.28332996 2650.663545067146 2471228807.6511736 1693680916.0737462 0.703976728232721 1386495173.0883381 0.0 0.14279181870303068 -99.0 0.685359814044713 [1.7329182802830463,1.7426479481431987,1.7620656216650254,1.7789190906508001,1.792450821030635] [1602867705.363894,1640597998.5393722,1689520301.4545174,1744879401.7941394,1776358677.2562132] [1329857751.2146423,1346671383.1160629,1382144777.9302657,1416864618.3976812,1448166968.633298] [0.654453303545688,0.6729442367068212,0.6988278038370774,0.731618224231442,0.7539982156224964] [0.10377991316190875,0.12244235847170859,0.14533020686941678,0.16770733333186283,0.19036257180455396] [3.9679841993088255e-10,4.0330101572733636e-10,4.15414602049593e-10,4.2625765380319764e-10,4.34828365804101e-10] 2.9653647 0.038282394 6.8312945 0.07707214 11.015475 0.20188618 +124770 34.6676922 -5.0842869 -1.0 24 1.4478143 16.87828 0.0026615364 3828.055752116374 79157.48615416403 1.4478143 16.87828 0.0026615364 1.459481 0.0036607152 1.459481 16.183792 1.406609 1.4297521 1.4481316 1.465463 1.4822983 1.1093192 0.020791173 2.7608824 0.085864305 4.5488 0.0991652 10.577165 0.38268995 10441.790279394752 12580524161.80143 15740715130.219925 1.0329159304008206 8418700814.79567 0.0 0.4848726959840293 -99.0 1.251197082710899 [1.10348199390439,1.1390246606351244,1.1665822154313639,1.2038370323960252,1.2196998564251356] [15105724115.952286,15390120048.907534,15685228420.409761,16001076117.684042,16315442516.517097] [1948153374.6252832,2731518749.450224,8285148873.056721,14883943446.145767,21680444357.34825] [0.021572742834254963,0.14499661817587764,1.0137686627495583,2.0600335462388837,3.1145485553059493] [0.34629716393044996,0.4084900388496182,0.5016374757709118,0.5732130252273102,0.6672168877292494] [1.3606264005961135e-12,8.955859247785964e-12,6.50537345013917e-11,1.341785204811029e-10,1.9971759660422446e-10] 0.41587287 0.01202482 3.1251807 0.09513593 6.705219 0.14611316 diff --git a/diffhtwo/experimental/data_loaders/load_feniks.py b/diffhtwo/experimental/data_loaders/load_feniks.py index 027e2e55d..e923aa9b8 100644 --- a/diffhtwo/experimental/data_loaders/load_feniks.py +++ b/diffhtwo/experimental/data_loaders/load_feniks.py @@ -11,6 +11,7 @@ from ..defaults import ( FENIKS_AREA_DEG2, FENIKS_MAGK_THRESH, + FENIKS_MAGOTHER_THRESH, FENIKS_Z_MAX, FENIKS_Z_MIN, Dataset, @@ -28,11 +29,10 @@ Feniks = namedtuple("Feniks", Dataset._fields) -LH_SIG = 3.5 -LH_N_CENTROIDS = 50_000 +LH_SIG = 3.0 +LH_N_CENTROIDS = 60_000 -LH_D_MAG = 0.5 # 0.7 -LH_D_Z = 0.5 +LH_D_Z = 0.3 def get_mag_ab(phot_table, col_name, ZP=25): @@ -45,8 +45,8 @@ def get_mag_ab(phot_table, col_name, ZP=25): return mag_ab.data -def refresh_lh_centroids(DATASET): - lh_centroids, d_centroids = get_lh_centroids(DATASET.dataset) +def refresh_lh_centroids(DATASET, lh_d_mag): + lh_centroids, d_centroids = get_lh_centroids(DATASET.dataset, lh_d_mag) dataset_sig = jnp.zeros(lh_centroids.shape) + (d_centroids / 2) lh_centroids_lo = lh_centroids - (d_centroids / 2) @@ -65,20 +65,20 @@ def refresh_lh_centroids(DATASET): return DATASET -def get_lh_centroids(dataset): +def get_lh_centroids(dataset, lh_d_mag): mu = np.mean(dataset, axis=0) mu[0] = mu[0] + 0.4 # u - g - mu[1] = mu[1] + 0.0 # g - r - mu[2] = mu[2] + 0.0 # r - i - mu[3] = mu[3] + 0.1 # z - Y - mu[4] = mu[4] + 0.15 # z - Y - mu[5] = mu[5] + 0.25 # z - Y - mu[6] = mu[6] + 0.0 # J - H - mu[8] = mu[8] + 0.0 # u + # mu[1] = mu[1] + 0.0 # g - r + # mu[2] = mu[2] + 0.0 # r - i + # mu[3] = mu[3] + 0.1 # z - Y + # mu[4] = mu[4] + 0.15 # z - Y + # mu[5] = mu[5] + 0.0 # Y - J + # mu[6] = mu[6] + 0.0 # J - H + mu[-3] = mu[-3] - 1.0 # u - mu[-2] = mu[-2] - 1 # K - mu[-1] = mu[-1] + 0.5 # redshift + mu[-2] = mu[-2] - 1.0 # K + # mu[-1] = mu[-1] + 0.5 # redshift cov = np.cov(dataset.T) @@ -90,7 +90,7 @@ def get_lh_centroids(dataset): lh_centroids[:, -1] < (FENIKS_Z_MAX - (LH_D_Z / 2)) ) k_mask = lh_centroids[:, -2] < FENIKS_MAGK_THRESH - u_mask = lh_centroids[:, -3] < 27.0 + u_mask = lh_centroids[:, -3] < FENIKS_MAGOTHER_THRESH lh_centroids = lh_centroids[redshift_mask & k_mask & u_mask] redshift_centers = [0.45, 0.95, 1.45, 1.95, 2.45, 2.95, 3.45, 3.95] @@ -100,7 +100,7 @@ def get_lh_centroids(dataset): k_bright = lh_centroids[:, -2] > k_min(lh_centroids[:, -1]) lh_centroids = lh_centroids[k_bright] - d_centroids = jnp.ones_like(lh_centroids) * LH_D_MAG + d_centroids = jnp.ones_like(lh_centroids) * lh_d_mag d_centroids = d_centroids.at[:, -1].set(LH_D_Z) return lh_centroids, d_centroids @@ -110,20 +110,21 @@ def get_feniks_data( drn, ran_key, ssp_data, + lh_d_mag=0.6, phot=PHOT, zout=ZOUT, ): # Transmission curves and filter mag thresholds feniks_mag_thresh = FeniksFilters( - MegaCam_uS=27.0, - HSC_G=27.0, - HSC_R=27.0, - HSC_I=27.0, - HSC_Z=27.0, - VIDEO_Y=27.0, - UDS_J=27.0, - UDS_H=27.0, + MegaCam_uS=FENIKS_MAGOTHER_THRESH, + HSC_G=FENIKS_MAGOTHER_THRESH, + HSC_R=FENIKS_MAGOTHER_THRESH, + HSC_I=FENIKS_MAGOTHER_THRESH, + HSC_Z=FENIKS_MAGOTHER_THRESH, + VIDEO_Y=FENIKS_MAGOTHER_THRESH, + UDS_J=FENIKS_MAGOTHER_THRESH, + UDS_H=FENIKS_MAGOTHER_THRESH, UDS_K=FENIKS_MAGK_THRESH, ) feniks_in_lh = FeniksFilters( @@ -317,12 +318,13 @@ def get_feniks_data( mags = mags[z_mask] zout = zout[z_mask] - lh_centroids, d_centroids = get_lh_centroids(dataset) + lh_centroids, d_centroids = get_lh_centroids(dataset, lh_d_mag) # run initial diffndhist_lomem with fixed dmag dataset_sig = jnp.zeros(lh_centroids.shape) + (d_centroids / 2) lh_centroids_lo = lh_centroids - (d_centroids / 2) lh_centroids_hi = lh_centroids + (d_centroids / 2) + N_data_lh = diffndhist_lomem.tw_ndhist( dataset, dataset_sig, @@ -340,7 +342,7 @@ def get_feniks_data( lh_centroids, d_centroids, N_data_lh, - LH_D_MAG, + lh_d_mag, LH_D_Z, FENIKS_AREA_DEG2, ) diff --git a/diffhtwo/experimental/data_loaders/load_sdss.py b/diffhtwo/experimental/data_loaders/load_sdss.py index eab9c8cc2..85db9efca 100644 --- a/diffhtwo/experimental/data_loaders/load_sdss.py +++ b/diffhtwo/experimental/data_loaders/load_sdss.py @@ -20,7 +20,7 @@ LH_N_CENTROIDS = 20_000 LH_SIG = 3.5 -LH_D_MAG = 0.2 +LH_D_MAG = 0.1 LH_D_Z = 0.01 @@ -73,9 +73,11 @@ def refresh_lh_centroids(DATASET): def get_lh_centroids(dataset): mu = np.mean(dataset, axis=0) - mu[1] = mu[1] - 0.1 # - mu[-2] = mu[-2] - 1.8 # r - mu[-1] = mu[-1] - 0.02 # redshift + + mu[-3] = mu[-3] - 0.5 # u + mu[-2] = mu[-2] - 0.5 # r + # mu[-1] = mu[-1] 0.02 # redshift + cov = np.cov(dataset.T) lh_centroids = lh.latin_hypercube_from_cov( @@ -88,12 +90,12 @@ def get_lh_centroids(dataset): r_mask = lh_centroids[:, -2] <= SDSS_MAGR_THRESH lh_centroids = lh_centroids[redshift_mask & r_mask] - # redshift = [0.02, 0.065, 0.11, 0.155, 0.2] - # r_mins = [12, 13.5, 14.5, 15.3, 16] - # coeffs = np.polyfit(redshift, r_mins, deg=2) - # r_min = np.poly1d(coeffs) - # r_complete = lh_centroids[:, -2] > r_min(lh_centroids[:, -1]) - # lh_centroids = lh_centroids[r_complete] + redshift = [0.02, 0.065, 0.11, 0.155, 0.2] + r_mins = [12, 12.5, 14, 14.5, 15] + coeffs = np.polyfit(redshift, r_mins, deg=2) + r_min = np.poly1d(coeffs) + r_bright = lh_centroids[:, -2] > r_min(lh_centroids[:, -1]) + lh_centroids = lh_centroids[r_bright] d_centroids = jnp.ones_like(lh_centroids) * LH_D_MAG d_centroids = d_centroids.at[:, -1].set(LH_D_Z) @@ -116,7 +118,7 @@ def get_sdss_data( sdss_z=None, ) sdss_in_lh = SdssFilters( - sdss_u=False, + sdss_u=True, sdss_g=False, sdss_r=True, sdss_i=False, @@ -145,12 +147,15 @@ def get_sdss_data( sdss_iz = sdss_i - sdss_z # stack colors_mag - dataset = np.vstack((sdss_ug, sdss_gr, sdss_ri, sdss_iz, sdss_r, sdss_redshift)).T + dataset = np.vstack( + (sdss_ug, sdss_gr, sdss_ri, sdss_iz, sdss_u, sdss_r, sdss_redshift) + ).T dataset_dim_labels = [ r"$u - g$", r"$g - r$", r"$r - i$", r"$i - z$", + r"$u$", r"$r$", r"$redshift$", ] diff --git a/diffhtwo/experimental/defaults.py b/diffhtwo/experimental/defaults.py index 1c83c0634..5f0344a25 100644 --- a/diffhtwo/experimental/defaults.py +++ b/diffhtwo/experimental/defaults.py @@ -21,6 +21,7 @@ FENIKS_Z_MIN = 0.2 FENIKS_Z_MAX = 3.0 FENIKS_MAGK_THRESH = 24.3 # col mag +FENIKS_MAGOTHER_THRESH = 27.0 SDSS_AREA_DEG2 = 7199 SDSS_Z_MIN = 0.02 diff --git a/diffhtwo/experimental/diagnostics/plot_burstpop.py b/diffhtwo/experimental/diagnostics/plot_burstpop.py new file mode 100644 index 000000000..e2a7c3250 --- /dev/null +++ b/diffhtwo/experimental/diagnostics/plot_burstpop.py @@ -0,0 +1,205 @@ +""" +Based on diffsky.burstpop.diagnostics.plot_fburstpop +""" +import numpy as np +from diffsky.burstpop import freqburst_mono +from diffsky.burstpop.fburstpop_mono import get_fburst_from_fburstpop_params +from diffsky.param_utils.diffsky_param_wrapper_merging import DEFAULT_PARAM_COLLECTION + +from ..kernels.lc_phot_kern import multiband_lc_phot_kern + +DEFAULT_FBURSTPOP_PARAMS = ( + DEFAULT_PARAM_COLLECTION.spspop_params.burstpop_params.fburstpop_params +) +try: + from matplotlib import pyplot as plt + + HAS_MATPLOTLIB = True +except ImportError: + HAS_MATPLOTLIB = False +MATPLOTLIB_MSG = "Must have matplotlib installed to use this function" + + +def make_fburstpop_comparison_plot( + params, + params2=DEFAULT_FBURSTPOP_PARAMS, + fname=None, + label1=r"${\rm new\ model}$", + label2=r"${\rm default\ model}$", +): + """Make basic diagnostic plot of the model for Fburst + + Parameters + ---------- + params : namedtuple + Instance of fburstpop.FburstPopParams + + params2 : namedtuple, optional + Instance of fburstpop.FburstPopParams + Default is set by DEFAULT_FBURSTPOP_PARAMS + + fname : string, optional + filename of the output figure + + """ + assert HAS_MATPLOTLIB, MATPLOTLIB_MSG + + nsm, nsfr = 250, 250 + logsm_grid = np.linspace(7, 12, nsm) + logssfr_grid = np.linspace(-13, -8, nsfr) + + X, Y = np.meshgrid(logsm_grid, logssfr_grid) + + Z = np.log10(get_fburst_from_fburstpop_params(params, X, Y)) + Z2 = np.log10(get_fburst_from_fburstpop_params(params2, X, Y)) + + fig, axes = plt.subplots(1, 2, figsize=(10, 4)) + (ax0, ax1) = axes + + pcm0 = ax0.pcolor(X, Y, Z, cmap="coolwarm_r", vmin=-4.5, vmax=-2.1) + fig.colorbar(pcm0, ax=ax0) + + pcm1 = ax1.pcolor(X, Y, Z2, cmap="coolwarm_r", vmin=-4.5, vmax=-2.1) + fig.colorbar(pcm1, ax=ax1, label=r"${\rm lgFburst}$") + for ax in axes: + xlabel = ax.set_xlabel(r"$\log_{10}M_{\star}/M_{\odot}$") + ylabel = ax0.set_ylabel(r"${\rm \log_{10}sSFR}$") + + ax0.set_title(label1) + ax1.set_title(label2) + + if fname is not None: + fig.savefig( + fname, bbox_extra_artists=[xlabel, ylabel], bbox_inches="tight", dpi=200 + ) + return fig + + +def _lgfburst_weighted(arr): + arr = np.asarray(arr) + + m_star = 10 ** arr[:, 0] + f_burst = 10 ** arr[:, 1] + p_burst = arr[:, 2] + gal_weight = arr[:, 3] + + m_star_burst = np.sum(m_star * f_burst * p_burst * gal_weight) + m_star_tot = np.sum(m_star * gal_weight) + + lgfburst = np.log10(m_star_burst / m_star_tot) + + return lgfburst + + +def plot_lgfburst_mh_z( + ran_key, + param_collection, + z_min, + z_max, + ssp_data, + tcurves, + model_nickname, + savedir, + mag_thresh=None, + frac_cat=None, + num_halos=10000, + gridsize=25, + mincnt=1, + plot="cen+sat", + plt_show=True, +): + lc_data, phot_kern_results, gal_weight = multiband_lc_phot_kern( + ran_key, + param_collection, + z_min, + z_max, + num_halos, + ssp_data, + tcurves, + mag_thresh=mag_thresh, + frac_cat=frac_cat, + ) + + if plot == "cen": + sel = lc_data.is_central == 1 + elif plot == "sat": + sel = lc_data.is_central != 1 + elif plot == "cen+sat": + sel = np.isfinite(lc_data.is_central) + + p_burst = freqburst_mono.get_freqburst_from_freqburst_params( + param_collection.spspop_params.burstpop_params.freqburst_params, + phot_kern_results.logsm_obs, + phot_kern_results.logssfr_obs, + ) + C = np.column_stack( + [ + phot_kern_results.logsm_obs[sel], + phot_kern_results.lgfburst[sel], + p_burst[sel], + gal_weight[sel], + ] + ) + fig, ax = plt.subplots(1, 2, figsize=(10, 4), width_ratios=[1, 1.2]) + vmin, vmax = -6, -2.5 + + """Plot fburst w/ halo mass and redshift""" + ax[0].hexbin( + lc_data.z_obs[sel], + lc_data.logmp_obs[sel], + C=C, + reduce_C_function=_lgfburst_weighted, + cmap="coolwarm_r", + vmin=vmin, + vmax=vmax, + mincnt=mincnt, + gridsize=gridsize, + rasterized=True, + ) + + ax[0].set_xlabel("redshift") + ax[0].set_ylabel("log$_{10}$ (M$_{h, peak}$ [M\u2609])") + ax[0].set_xlim(z_min, z_max) + ax[0].set_ylim(10, 15) + + """Plot fburst w/ stellar mass and redshift""" + logsm_min, log_sm_max = 8, 12 + hb1 = ax[1].hexbin( + lc_data.z_obs[sel], + phot_kern_results.logsm_obs[sel], + C=C, + reduce_C_function=_lgfburst_weighted, + cmap="coolwarm_r", + vmin=vmin, + vmax=vmax, + mincnt=mincnt, + extent=(z_min, z_max, logsm_min, log_sm_max), + gridsize=gridsize, + rasterized=True, + ) + cbar1 = plt.colorbar(hb1, ax=ax[1], label="log$_{10}$ ($\U0001D453_{burst}$)") + cbar1.ax.invert_yaxis() + + ax[1].set_xlabel("redshift") + ax[1].set_ylabel("log$_{10}$ (M$_{*}$ [M\u2609])") + ax[1].set_xlim(z_min, z_max) + ax[1].set_ylim(logsm_min, log_sm_max) + + z_min_label = str(np.round(z_min, 2)) + z_max_label = str(np.round(z_max, 2)) + fig.savefig( + savedir + + "/" + + model_nickname + + "_fburst_mh_z" + + z_min_label + + "-" + + z_max_label + + ".png", + bbox_inches="tight", + dpi=200, + ) + + if plt_show: + plt.show() + plt.close() diff --git a/diffhtwo/experimental/diagnostics/plot_cen.py b/diffhtwo/experimental/diagnostics/plot_cen.py index 8df1603b9..21590e76e 100644 --- a/diffhtwo/experimental/diagnostics/plot_cen.py +++ b/diffhtwo/experimental/diagnostics/plot_cen.py @@ -17,6 +17,7 @@ def plot_massive_cen_colors( mag_thresh=None, frac_cat=None, num_halos=10000, + logsm_obs_thresh=11, plt_show=True, ): lc_data, phot_kern_results, weights = multiband_lc_phot_kern( @@ -31,7 +32,9 @@ def plot_massive_cen_colors( frac_cat=frac_cat, ) - sm_cut = (phot_kern_results.logsm_obs > 11.5) & (lc_data.is_central == 1) + sm_cut = (phot_kern_results.logsm_obs > logsm_obs_thresh) & ( + lc_data.is_central == 1 + ) obs_mags = phot_kern_results.obs_mags obs_mags_in_situ = phot_kern_results.obs_mags_in_situ @@ -50,7 +53,14 @@ def plot_massive_cen_colors( z_min_label = str(np.round(z_min, 2)) z_max_label = str(np.round(z_max, 2)) - fig.suptitle("centrals w/ logsm > 11.5 | " + z_min_label + " < z < " + z_max_label) + fig.suptitle( + "centrals w/ logsm_obs > " + + str(logsm_obs_thresh) + + " | " + + z_min_label + + " < z < " + + z_max_label + ) for c in range(0, n_colors): std = np.std(obs_colors_in_situ[:, c][sm_cut]) med = np.median(obs_colors_in_situ[:, c][sm_cut]) diff --git a/diffhtwo/experimental/diagnostics/plot_phot.py b/diffhtwo/experimental/diagnostics/plot_phot.py index 3ea890c5d..9cb84b355 100644 --- a/diffhtwo/experimental/diagnostics/plot_phot.py +++ b/diffhtwo/experimental/diagnostics/plot_phot.py @@ -230,7 +230,8 @@ def plot_n_colors_mag( ax[0, 0].set_ylabel("n [Mpc$^{-3}$]", fontsize=fontsize) ax[1, 0].set_ylabel("n$_{diffsky}$ / n$_{" + data_label + "}$", fontsize=fontsize) fig.savefig( - savedir + "/" + data_label + "_fit_z" + str(z_min) + "-" + str(z_max) + ".png" + savedir + "/" + data_label + "_fit_z" + str(z_min) + "-" + str(z_max) + ".png", + bbox_inches="tight", ) plt.close() @@ -409,6 +410,7 @@ def plot_n_mags( ax[0, 0].set_ylabel("n [Mpc$^{-3}$]", fontsize=fontsize) ax[1, 0].set_ylabel("n$_{diffsky}$ / n$_{" + data_label + "}$", fontsize=fontsize) fig.savefig( - savedir + "/" + data_label + "_mags_z" + str(z_min) + "-" + str(z_max) + ".png" + savedir + "/" + data_label + "_mags_z" + str(z_min) + "-" + str(z_max) + ".png", + bbox_inches="tight", ) plt.close() diff --git a/diffhtwo/experimental/diagnostics/plot_satquench.py b/diffhtwo/experimental/diagnostics/plot_satquench.py index 7e9e6d100..791452d0d 100644 --- a/diffhtwo/experimental/diagnostics/plot_satquench.py +++ b/diffhtwo/experimental/diagnostics/plot_satquench.py @@ -1,9 +1,6 @@ -import jax.numpy as jnp import matplotlib.pyplot as plt import numpy as np -from diffstar.diffstarpop import mc_diffstar_params_galpop from diffstar.diffstarpop.kernels import satquenchpop_model as sqpm -from jax import random as jran from matplotlib import lines as mlines from ..kernels.lc_phot_kern import multiband_lc_phot_kern @@ -15,7 +12,7 @@ tarr = np.linspace(-10, 15, 40_000) qprob_cen = 0.35 -host_configs = [(12.0, mblue), (13.0, mgreen), (14.0, morange), (15.0, mred)] +host_configs = [(11.5, mblue), (12.5, mgreen), (13.5, morange), (14.5, mred)] mu_configs = [(-0.5, "--"), (-3.0, "-")] p_merge = [0.9, 0.6, 0.3] @@ -68,105 +65,6 @@ def generate_sat_plots( plot_sat_ssfr_sm(*args, plt_show=plt_show) plot_sat_lgfburst_mhost(*args, plt_show=plt_show) plot_sat_lgfburst_sm(*args, plt_show=plt_show) - plot_sat_tquench(*args, plt_show=plt_show) - - -def plot_sat_tquench( - ran_key, - lc_data, - phot_kern_results, - weights, - param_collection, - z_min_label, - z_max_label, - model_nickname, - savedir, - plt_show=True, -): - upid = jnp.where(lc_data.is_central == 1, -1, lc_data.halo_indx) - lgmu_infall = lc_data.logmp_infall - lc_data.logmhost_infall - gyr_since_infall = lc_data.t_obs - lc_data.t_infall - - ran_key = jran.key(0) - _res = mc_diffstar_params_galpop( - param_collection.diffstarpop_params, - lc_data.logmp0, - lc_data.mah_params.t_peak, - upid, - lgmu_infall, - lc_data.logmhost_infall, - gyr_since_infall, - ran_key, - ) - sfh_params_ms, sfh_params_q, frac_q, mc_is_q = _res - - fig, ax = plt.subplots(figsize=(5, 4.5)) - fig.suptitle( - "Satellite Quenching time | " + z_min_label + " < z < " + z_max_label, - y=0.95, - fontsize=14, - ) - a = 0.5 - bins = 50 - - t_peak = lc_data.mah_params.t_peak - t_q = 10**sfh_params_q.lg_qt - is_sat = upid != -1 - weights = frac_q * weights - - t_range = [0, 20] - - ax.hist( - t_peak[is_sat], - weights=weights[is_sat], - alpha=a, - bins=bins, - color="tab:blue", - histtype="step", - label="t$_{peak}$", - range=t_range, - ) - ax.hist( - t_q[is_sat], - weights=weights[is_sat], - alpha=a / 2, - bins=bins, - color="darkorange", - label="t$_{q, before}$", - range=t_range, - ) - clipped_t_q = jnp.minimum(t_peak, t_q) - t_q = jnp.where(is_sat, clipped_t_q, t_q) - - ax.hist( - t_q[is_sat], - weights=weights[is_sat], - alpha=a, - bins=bins, - color="darkred", - label="t$_{q}$", - range=t_range, - ) - - ax.legend(loc="best", fontsize=10) - ax.set_yscale("log") - ax.set_xlabel("t [Gyr]") - ax.set_ylabel("#") - fig.savefig( - savedir - + "/sat_" - + model_nickname - + "_tquench_z" - + z_min_label - + "-" - + z_max_label - + ".png", - bbox_inches="tight", - dpi=200, - ) - if plt_show: - plt.show() - plt.close() def plot_sat_ssfr_mhost( @@ -190,7 +88,7 @@ def plot_sat_ssfr_mhost( xlim = (-14, -9) for m in range(0, len(logmhost_infall)): for p in range(0, len(p_merge)): - sat = lc_data.is_central != 1 + sat = (lc_data.is_central) != 1 & (phot_kern_results.logsm_obs > 6) merging_sat = ( (sat) & (phot_kern_results.p_merge > p_merge[p]) @@ -260,7 +158,7 @@ def plot_sat_ssfr_sm( xlim = (-14, -9) for m in range(0, len(log_sm)): for p in range(0, len(p_merge)): - sat = lc_data.is_central != 1 + sat = (lc_data.is_central) != 1 & (phot_kern_results.logsm_obs > 6) merging_sat = ( (sat) & (phot_kern_results.p_merge > p_merge[p]) @@ -326,11 +224,11 @@ def plot_sat_lgfburst_mhost( ) for m in range(0, len(logmhost_infall)): for p in range(0, len(p_merge)): - sat = lc_data.is_central != 1 + sat = (lc_data.is_central) != 1 & (phot_kern_results.logsm_obs > 6) merging_sat = ( (sat) & (phot_kern_results.p_merge > p_merge[p]) - & (phot_kern_results.logsm_obs > logmhost_infall[m]) + & (lc_data.logmhost_infall > logmhost_infall[m]) ) ax[m][p].hist( phot_kern_results.lgfburst[sat], @@ -393,7 +291,7 @@ def plot_sat_lgfburst_sm( ) for m in range(0, len(log_sm)): for p in range(0, len(p_merge)): - sat = lc_data.is_central != 1 + sat = (lc_data.is_central) != 1 & (phot_kern_results.logsm_obs > 6) merging_sat = ( (sat) & (phot_kern_results.p_merge > p_merge[p]) @@ -480,10 +378,10 @@ def plot_satquench_model(diffstarpop_params, model_nickname, savedir, plt_show=T i += 1 - red_line = mlines.Line2D([], [], ls="-", c=mred, label=r"$m_{\rm host}=15$") - orange_line = mlines.Line2D([], [], ls="-", c=morange, label=r"$m_{\rm host}=14$") - green_line = mlines.Line2D([], [], ls="-", c=mgreen, label=r"$m_{\rm host}=13$") - blue_line = mlines.Line2D([], [], ls="-", c=mblue, label=r"$m_{\rm host}=12$") + red_line = mlines.Line2D([], [], ls="-", c=mred, label=r"$m_{\rm host}=14.5$") + orange_line = mlines.Line2D([], [], ls="-", c=morange, label=r"$m_{\rm host}=13.5$") + green_line = mlines.Line2D([], [], ls="-", c=mgreen, label=r"$m_{\rm host}=12.5$") + blue_line = mlines.Line2D([], [], ls="-", c=mblue, label=r"$m_{\rm host}=11.5$") dashed_line = mlines.Line2D([], [], ls="--", c="gray", label=r"$\mu=1/3$") solid_line = mlines.Line2D([], [], ls="-", c="gray", label=r"$\mu=1/1000$") black_line = mlines.Line2D([], [], ls=":", c="k", label=r"${\rm P_{Q, cen}}$") diff --git a/diffhtwo/experimental/kernels/lc_phot_kern.py b/diffhtwo/experimental/kernels/lc_phot_kern.py index 917b947e4..603c69812 100644 --- a/diffhtwo/experimental/kernels/lc_phot_kern.py +++ b/diffhtwo/experimental/kernels/lc_phot_kern.py @@ -1,5 +1,5 @@ import jax.numpy as jnp -from diffsky.experimental.kernels import phot_kernels_merging as pkm +from diffsky.experimental.kernels import gd_phot_kernels_merging as gpkm from diffstar.defaults import FB from dsps.cosmology import DEFAULT_COSMOLOGY from jax import jit as jjit @@ -63,7 +63,7 @@ def mc_phot_kern_merging_wrapper( fb=FB, mc_merge=0, ): - phot_kern_results, phot_randoms, merging_randoms = pkm._mc_phot_kern_merging( + phot_kern_results, phot_randoms, merging_randoms = gpkm._mc_phot_kern_merging( ran_key, lc_data.z_obs, lc_data.t_obs, diff --git a/diffhtwo/experimental/kernels/phot_kern.py b/diffhtwo/experimental/kernels/phot_kern.py index f530cbc2d..0ce829f77 100644 --- a/diffhtwo/experimental/kernels/phot_kern.py +++ b/diffhtwo/experimental/kernels/phot_kern.py @@ -55,7 +55,7 @@ def mag_kern( param_collection, lc_data, ) - obs_mags = phot_kern_results.obs_mags + obs_mags = phot_kern_results.obs_mags_weighted gal_weight = lc_data.cen_weight * lc_data.sat_weight diff --git a/diffhtwo/experimental/optimizers/Np_specphot_opt.py b/diffhtwo/experimental/optimizers/Np_specphot_opt.py index d2009eb79..f75024c6b 100644 --- a/diffhtwo/experimental/optimizers/Np_specphot_opt.py +++ b/diffhtwo/experimental/optimizers/Np_specphot_opt.py @@ -73,11 +73,11 @@ def _loss_sdss_feniks_hizels( sdss_fitting_data, feniks_meta_data, feniks_fitting_data, - hizels, - line_wave_table, + # hizels, + # line_wave_table, fit_sdss=True, fit_feniks=True, - fit_hizels=False, + # fit_hizels=False, ): loss = 0.0 @@ -102,19 +102,19 @@ def _loss_sdss_feniks_hizels( loss += feniks_phot_loss # hizels - if fit_hizels: - hizels_emline_multi_line_multi_z_loss_args = ( - u_theta, - ran_key, - hizels.lg_LF, - hizels.lg_Lbin_edges, - hizels.lc_data, - line_wave_table, - ) - hizels_emline_loss = _loss_emline_kern_multi_line_multi_z( - *hizels_emline_multi_line_multi_z_loss_args - ) - loss += hizels_emline_loss + # if fit_hizels: + # hizels_emline_multi_line_multi_z_loss_args = ( + # u_theta, + # ran_key, + # hizels.lg_LF, + # hizels.lg_Lbin_edges, + # hizels.lc_data, + # line_wave_table, + # ) + # hizels_emline_loss = _loss_emline_kern_multi_line_multi_z( + # *hizels_emline_multi_line_multi_z_loss_args + # ) + # loss += hizels_emline_loss return loss @@ -131,8 +131,8 @@ def fit_sdss_feniks_hizels( sdss_fitting_data, feniks_meta_data, feniks_fitting_data, - hizels, - line_wave_table, + # hizels, + # line_wave_table, n_steps=2, step_size=1e-2, ): @@ -145,8 +145,8 @@ def fit_sdss_feniks_hizels( sdss_fitting_data, feniks_meta_data, feniks_fitting_data, - hizels, - line_wave_table, + # hizels, + # line_wave_table, ) def _opt_update(opt_state, i): diff --git a/diffhtwo/experimental/optimizers/tests/test_Np_specphot_opt.py b/diffhtwo/experimental/optimizers/tests/test_Np_specphot_opt.py index adf5a709c..86c753b85 100644 --- a/diffhtwo/experimental/optimizers/tests/test_Np_specphot_opt.py +++ b/diffhtwo/experimental/optimizers/tests/test_Np_specphot_opt.py @@ -5,7 +5,6 @@ DEFAULT_PARAM_COLLECTION, check_param_collection_is_ok, ) -from jax import random as jran from jax.example_libraries import optimizers as jax_opt from ... import param_utils as pu @@ -17,49 +16,86 @@ ) -@pytest.mark.skip(reason="temporarily disabled") -def test_all_diffsky_u_param_grads_stay_nonzero_multistep(feniks_multi_z_data): +@pytest.fixture(scope="module") +def multistep_grads(ran_key, feniks_multi_z_data): feniks_meta_data, feniks_fitting_data = feniks_multi_z_data - n_steps = 10 step_size = 0.1 - ran_key = jran.key(0) u_theta_init = pu.get_u_theta_from_param_collection(DEFAULT_PARAM_COLLECTION) opt_init, opt_update, get_params = jax_opt.adam(step_size) - other = ( ran_key, feniks_meta_data, feniks_fitting_data, ) opt_state = opt_init(u_theta_init) - + multistep_grads = [] for i in range(n_steps): u_theta = get_params(opt_state) loss, grads = _loss_and_grad_phot_kern_multi_z(u_theta, *other) + multistep_grads.append(grads) + opt_state = opt_update(i, grads, opt_state) + return multistep_grads, n_steps + + +@pytest.fixture(scope="module") +def diffsky_param_fields(): + diffstarpop_fields = np.array(DEFAULT_PARAM_COLLECTION.diffstarpop_params._fields) + + spspop_params = DEFAULT_PARAM_COLLECTION.spspop_params + spspop_fields = np.array( + ( + spspop_params.burstpop_params.freqburst_params._fields + + spspop_params.burstpop_params.fburstpop_params._fields + + spspop_params.burstpop_params.tburstpop_params._fields + + spspop_params.dustpop_params.avpop_params._fields + + spspop_params.dustpop_params.deltapop_params._fields + + spspop_params.dustpop_params.funopop_params._fields + ) + ) - assert np.isfinite( - grads[0] - ).all(), "some of the diffstarpop grads are not finite" - assert (grads[0] != 0.0).all(), "some of the diffstarpop grads are exactly zero" + ssperr_fields = np.array(DEFAULT_PARAM_COLLECTION.ssperr_params._fields) - assert np.isfinite(grads[1]).all(), "some of the spspop grads are not finite" - assert (grads[1] != 0.0).all(), "some of the spspop grads are exactly zero" + merging_fields = np.array(DEFAULT_PARAM_COLLECTION.merging_params._fields) - assert np.isfinite(grads[2]).all(), "some of the ssperr grads are not finite" - assert (grads[2] != 0.0).all(), "some of the ssperr grads are exactly zero" + return diffstarpop_fields, spspop_fields, ssperr_fields, merging_fields - assert np.isfinite(grads[3]).all(), "some of the merging grads are not finite" - assert (grads[3] != 0.0).all(), "some of the merging grads are exactly zero" - opt_state = opt_update(i, grads, opt_state) +@pytest.fixture(scope="module") +def diffsky_param_names(): + return "diffstarpop", "spspop", "ssperr", "merging" -def test_phot_opt(feniks_multi_z_data): - feniks_meta_data, feniks_fitting_data = feniks_multi_z_data +@pytest.mark.parametrize("param_idx", [0, 1, 2, 3]) +def test_all_diffsky_u_param_grads_are_nonzero( + param_idx, diffsky_param_fields, diffsky_param_names, multistep_grads +): + multistep_grads, n_steps = multistep_grads + fields = diffsky_param_fields[param_idx] + + n_grads = len(fields) + zero_grad_flags = np.zeros(n_grads) - ran_key = jran.key(0) + for step in range(len(multistep_grads)): + grads = multistep_grads[step][param_idx] + + assert np.isfinite( + grads + ).all(), f"some of the {diffsky_param_names[param_idx]} grads are not finite" + for g in range(0, n_grads): + if grads[g] == 0.0: + zero_grad_flags[g] += 1 + + zero_grad_params = fields[zero_grad_flags == n_steps] + + assert ( + len(zero_grad_params) == 0 + ), f"These {diffsky_param_names[param_idx]} have exactly zero grads: {zero_grad_params}" + + +def test_phot_opt(ran_key, feniks_multi_z_data): + feniks_meta_data, feniks_fitting_data = feniks_multi_z_data u_theta = pu.get_u_theta_from_param_collection(DEFAULT_PARAM_COLLECTION) loss, grads = _loss_and_grad_phot_kern_multi_z( @@ -71,7 +107,6 @@ def test_phot_opt(feniks_multi_z_data): assert np.isfinite(loss) for g in range(len(grads)): assert np.isfinite(grads[g]).all() - # assert (grad[g] != 0.0).all() trainable_params = pu.get_trainable_params(fit_type="all") loss_hist, u_theta_fit = fit_N_multi_z( @@ -91,14 +126,15 @@ def test_phot_opt(feniks_multi_z_data): assert check_param_collection_is_ok(param_collection_fit) -def test_specphot_opt(fake_subset_ssp_data, feniks_multi_z_data, hizels): +@pytest.mark.skip( + reason="This will be enabled when gd_specphot_kern_merging is implemented" +) +def test_specphot_opt(ran_key, fake_subset_ssp_data, feniks_multi_z_data, hizels): ssp_data, emline_wave_aa = fake_subset_ssp_data emline_wave_table = jnp.array([emline_wave_aa]) feniks_meta_data, feniks_fitting_data = feniks_multi_z_data - ran_key = jran.key(0) - # duplicate feniks data for sdss data sdss_meta_data, sdss_fitting_data = feniks_meta_data, feniks_fitting_data @@ -117,7 +153,6 @@ def test_specphot_opt(fake_subset_ssp_data, feniks_multi_z_data, hizels): assert np.isfinite(loss) for g in range(len(grads)): assert np.isfinite(grads[g]).all() - # assert (grad[g] != 0.0).all() trainable_params = pu.get_trainable_params(fit_type="all") loss_hist, u_theta_fit = fit_sdss_feniks_hizels( diff --git a/diffhtwo/experimental/param_utils.py b/diffhtwo/experimental/param_utils.py index 531e2b47f..6b6973809 100644 --- a/diffhtwo/experimental/param_utils.py +++ b/diffhtwo/experimental/param_utils.py @@ -1,4 +1,5 @@ import jax.numpy as jnp +import numpy as np from diffsky.experimental.scatter import DEFAULT_SCATTER_U_PARAMS from diffsky.merging.merging_model import DEFAULT_MERGE_U_PARAMS from diffsky.param_utils import diffsky_param_wrapper_merging as dpwm @@ -30,6 +31,15 @@ def get_u_unravel_fn( return u_unravel_fn +def get_param_collection_from_u_theta_npz(npz_filename): + data = np.load(npz_filename) + u_theta = tuple( + jnp.array(data[k]) for k in ["diffstarpop", "spspop", "ssperr", "merging"] + ) + param_collection = get_param_collection_from_u_theta(u_theta) + return param_collection + + def get_param_collection_from_u_theta( u_theta, u_mzr_params=DEFAULT_MZR_U_PARAMS, diff --git a/scripts/config.yaml b/scripts/config.yaml deleted file mode 100644 index 8bcd8d899..000000000 --- a/scripts/config.yaml +++ /dev/null @@ -1,17 +0,0 @@ -base_path: "/Users/kumail/diffdir" - -start_runid: "run50" -start_fit_type: "spspop+diffstarpop" - -fit_runid: "run51" -fit_type: "diffstarpop+spspop+ssperrpop" - -epoch: - n_it: 1 - n_steps: 2 - step_size: 0.1 - - feniks_n_z_bins: 3 - feniks_n_centroids: 500 - - num_halos: 300 diff --git a/scripts/config_diagnostics.yaml b/scripts/config_diagnostics.yaml index 2f8fe7463..812b14d26 100644 --- a/scripts/config_diagnostics.yaml +++ b/scripts/config_diagnostics.yaml @@ -1,21 +1,27 @@ -model_drn: /Users/kumail/diffdir/fits/run53 -model_nickname: run53_all -fit_diagnostics_save_drn: /Users/kumail/diffdir/fits/run53/diagnostic_plots/all +model_drn: /Users/kumail/diffdir/fits/run100 +model_nickname: run100_all +fit_diagnostics_save_drn: /Users/kumail/diffdir/fits/run100/diagnostic_plots/all feniks_drn: /Users/kumail/diffdir/feniks +sdss_drn: /Users/kumail/diffdir/sdss cosmos20_drn: /Users/kumail/diffdir/COSMOS20 dsps_drn: /Users/kumail/diffdir/COSMOS20/portal.nersc.gov/project/hacc/aphearin/DSPS_data ssp_file: /Users/kumail/diffdir/ssp_data/ssp_w_emlines/fsps_v0.4.7_mist_c3k_a_kroupa_wNE_logGasU-2.0_logGasZ0.0.h5 +plot_feniks: True +plot_sdss: False + plots: - num_halos : 2000 + num_halos : 3000 plot_colors_mags: False plot_mags: False plot_ssperr: False - plot_massive_cen_colors: False - plot_satquench: True - plot_satquench_model: True + plot_massive_cen_colors: True + plot_satquench: False + plot_satquench_model: False plot_insitu_smhm: False plot_uvj: False plot_exsitu_frac: False - plot_avpop: False \ No newline at end of file + plot_avpop: False + plot_burstpop: False + plot_fburst_mh_z: False \ No newline at end of file diff --git a/scripts/config_feniks.yaml b/scripts/config_feniks.yaml new file mode 100644 index 000000000..2d87e2f3d --- /dev/null +++ b/scripts/config_feniks.yaml @@ -0,0 +1,23 @@ +base_path: "/Users/kumail/diffdir" + +start_runid: "run90" +start_fit_type: "all" + +fit_runid: "runtest" +fit_type: "all" + +feniks: + lh_d_mag: 0.6 + N_centroids: 2000 + +epoch: + n_it: 1 + n_steps: 2 + step_size: 0.1 + num_halos: 200 + +defaults: + diffstarpop: True + spspop: True + ssperr: True + merging: True diff --git a/scripts/config_sdss.yaml b/scripts/config_sdss.yaml new file mode 100644 index 000000000..07bd1ef4f --- /dev/null +++ b/scripts/config_sdss.yaml @@ -0,0 +1,21 @@ +base_path: "/Users/kumail/diffdir" + +start_runid: "run73" +start_fit_type: "all" + +fit_runid: "run74" +fit_type: "all" + +epoch: + n_it: 1 + n_steps: 25 + step_size: 0.1 + N_z_bins: 1 + N_centroids: 2000 + num_halos: 300 + +defaults: + diffstarpop: True + spspop: True + ssperr: True + merging: True diff --git a/scripts/config_sdss_feniks.yaml b/scripts/config_sdss_feniks.yaml new file mode 100644 index 000000000..ab7f2b1db --- /dev/null +++ b/scripts/config_sdss_feniks.yaml @@ -0,0 +1,26 @@ +base_path: "/Users/kumail/diffdir" + +start_runid: "run90" +start_fit_type: "all" + +fit_runid: "runtest" +fit_type: "all" + +feniks: + lh_d_mag: 0.6 + N_centroids: 2000 + +sdss: + N_centroids: 2000 + +epoch: + n_it: 1 + n_steps: 2 + step_size: 0.1 + num_halos: 200 + +defaults: + diffstarpop: True + spspop: True + ssperr: True + merging: True diff --git a/scripts/fit_diffsky.py b/scripts/fit_feniks.py similarity index 72% rename from scripts/fit_diffsky.py rename to scripts/fit_feniks.py index 6eac76fc0..34993ce32 100644 --- a/scripts/fit_diffsky.py +++ b/scripts/fit_feniks.py @@ -8,19 +8,29 @@ import numpy as np import yaml from diffsky.data_loaders.hacc_utils import lc_mock +from diffsky.merging.merging_model import DEFAULT_MERGE_PARAMS +from diffsky.param_utils.spspop_param_utils import DEFAULT_SPSPOP_PARAMS +from diffsky.ssp_err_model.defaults import ZERO_SSPERR_PARAMS +from diffstar.diffstarpop.kernels.params.params_diffstarpopfits_mgash import ( + DiffstarPop_Params_Diffstarpopfits_mgash, +) from dsps import load_ssp_templates from dsps.data_loaders import load_emline_info as lemi from jax import random as jran -from diffhtwo.experimental import defaults as df from diffhtwo.experimental import param_utils as pu from diffhtwo.experimental.data_loaders import load_feniks +from diffhtwo.experimental.defaults import FENIKS_Z_MAX, FENIKS_Z_MIN from diffhtwo.experimental.latin_hypercube import lh_utils as lhu from diffhtwo.experimental.optimizers import Np_specphot_opt +DIFFSTARPOP_GALACTICUS_exsitu = DiffstarPop_Params_Diffstarpopfits_mgash[ + "galacticus_in_plus_ex_situ" +] + if __name__ == "__main__": p = argparse.ArgumentParser() - p.add_argument("--config", default="config.yaml") + p.add_argument("--config", default="config_feniks.yaml") args = p.parse_args() with open(args.config) as f: @@ -41,9 +51,7 @@ # load feniks data ran_key = jran.key(0) FENIKS = load_feniks.get_feniks_data( - feniks_drn, - ran_key, - ssp_data, + feniks_drn, ran_key, ssp_data, lh_d_mag=cfg["feniks"]["lh_d_mag"] ) # start fit dirs @@ -52,6 +60,23 @@ fit_start_drn, cfg["start_runid"] + "_" + cfg["start_fit_type"], ) + if cfg["defaults"]["diffstarpop"]: + param_collection_fit = param_collection_fit._replace( + diffstarpop_params=DIFFSTARPOP_GALACTICUS_exsitu + ) + if cfg["defaults"]["spspop"]: + param_collection_fit = param_collection_fit._replace( + spspop_params=DEFAULT_SPSPOP_PARAMS + ) + if cfg["defaults"]["ssperr"]: + param_collection_fit = param_collection_fit._replace( + ssperr_params=ZERO_SSPERR_PARAMS + ) + if cfg["defaults"]["merging"]: + param_collection_fit = param_collection_fit._replace( + merging_params=DEFAULT_MERGE_PARAMS + ) + u_theta_fit = pu.get_u_theta_from_param_collection(param_collection_fit) # fit dirs @@ -67,28 +92,25 @@ os.makedirs(fit_diagnostics_save_drn + "/loss", exist_ok=True) os.makedirs(fit_diagnostics_save_drn + "/lh_N_z", exist_ok=True) - feniks_z = np.linspace(df.FENIKS_Z_MIN, df.FENIKS_Z_MAX, 5) - feniks_z_min = feniks_z[:-1] - feniks_z_max = feniks_z[1:] + os.system(f"cp {args.config} {fit_diagnostics_save_drn}") + + feniks_z_min = [FENIKS_Z_MIN, 1, 2] + feniks_z_max = [1, 2, FENIKS_Z_MAX] initial_pts = [] start = time.time() for epoch in range(0, cfg["epoch"]["n_it"]): - print(f"Running Epoch {epoch+1}/{cfg['epoch']['n_it']}...") - FENIKS = load_feniks.refresh_lh_centroids(FENIKS) - - feniks_z_idx = np.random.choice( - len(feniks_z_min), cfg["epoch"]["feniks_n_z_bins"], replace=False - ) + print(f'Running Epoch {epoch+1}/{cfg["epoch"]["n_it"]}...') + FENIKS = load_feniks.refresh_lh_centroids(FENIKS, cfg["feniks"]["lh_d_mag"]) # FENIKS feniks_meta_data, feniks_fitting_data = lhu.get_zbins_lh_lc( ran_key, FENIKS, - feniks_z_min[feniks_z_idx], - feniks_z_max[feniks_z_idx], + feniks_z_min, + feniks_z_max, ssp_data, - cfg["epoch"]["feniks_n_centroids"], + cfg["feniks"]["N_centroids"], lh_N_z_savedir=fit_diagnostics_save_drn + "/lh_N_z", num_halos=cfg["epoch"]["num_halos"], ) diff --git a/scripts/fit_sdss.py b/scripts/fit_sdss.py new file mode 100644 index 000000000..f3afbcaca --- /dev/null +++ b/scripts/fit_sdss.py @@ -0,0 +1,165 @@ +import argparse +import os +import time +from datetime import datetime + +import jax.numpy as jnp +import matplotlib.pyplot as plt +import numpy as np +import yaml +from diffsky.data_loaders.hacc_utils import lc_mock +from diffsky.merging.merging_model import DEFAULT_MERGE_PARAMS +from diffsky.param_utils.spspop_param_utils import DEFAULT_SPSPOP_PARAMS +from diffsky.ssp_err_model.defaults import ZERO_SSPERR_PARAMS +from diffstar.diffstarpop.kernels.params.params_diffstarpopfits_mgash import ( + DiffstarPop_Params_Diffstarpopfits_mgash, +) +from dsps import load_ssp_templates +from dsps.data_loaders import load_emline_info as lemi +from jax import random as jran + +from diffhtwo.experimental import param_utils as pu +from diffhtwo.experimental.data_loaders import load_sdss +from diffhtwo.experimental.defaults import SDSS_Z_MAX, SDSS_Z_MIN +from diffhtwo.experimental.latin_hypercube import lh_utils as lhu +from diffhtwo.experimental.optimizers import Np_specphot_opt + +DIFFSTARPOP_GALACTICUS_exsitu = DiffstarPop_Params_Diffstarpopfits_mgash[ + "galacticus_in_plus_ex_situ" +] + +if __name__ == "__main__": + p = argparse.ArgumentParser() + p.add_argument("--config", default="config_sdss.yaml") + args = p.parse_args() + + with open(args.config) as f: + cfg = yaml.safe_load(f) + + sdss_drn = cfg["base_path"] + "/sdss" + ssp_filename = ( + cfg["base_path"] + + "/ssp_data/ssp_w_emlines/fsps_v0.4.7_mist_c3k_a_kroupa_wNE_logGasU-2.0_logGasZ0.0.h5" + ) + + # get ssp data + ssp_data = load_ssp_templates(fn=ssp_filename) + ssp_data = lemi.get_subset_emline_data(ssp_data, ["Ba_alpha_6563"]) + emline_wave_aa = jnp.array(ssp_data.ssp_emline_wave[0]) + emline_wave_table = jnp.array([emline_wave_aa]) + + # load sdss data + ran_key = jran.key(0) + SDSS = load_sdss.get_sdss_data(sdss_drn, ran_key, ssp_data) + + # start fit dirs + fit_start_drn = cfg["base_path"] + "/fits/" + cfg["start_runid"] + "/" + param_collection_fit = lc_mock.load_diffsky_param_collection_merging( + fit_start_drn, + cfg["start_runid"] + "_" + cfg["start_fit_type"], + ) + if cfg["defaults"]["diffstarpop"]: + param_collection_fit = param_collection_fit._replace( + diffstarpop_params=DIFFSTARPOP_GALACTICUS_exsitu + ) + if cfg["defaults"]["spspop"]: + param_collection_fit = param_collection_fit._replace( + spspop_params=DEFAULT_SPSPOP_PARAMS + ) + if cfg["defaults"]["ssperr"]: + param_collection_fit = param_collection_fit._replace( + ssperr_params=ZERO_SSPERR_PARAMS + ) + if cfg["defaults"]["merging"]: + param_collection_fit = param_collection_fit._replace( + merging_params=DEFAULT_MERGE_PARAMS + ) + + u_theta_fit = pu.get_u_theta_from_param_collection(param_collection_fit) + + # fit dirs + trainable_params = pu.get_trainable_params(fit_type=cfg["fit_type"]) + fit_save_drn = cfg["base_path"] + "/fits/" + cfg["fit_runid"] + "/" + fit_diagnostics_save_drn = ( + cfg["base_path"] + + "/fits/" + + cfg["fit_runid"] + + "/diagnostic_plots/" + + cfg["fit_type"] + ) + os.makedirs(fit_diagnostics_save_drn + "/loss", exist_ok=True) + os.makedirs(fit_diagnostics_save_drn + "/lh_N_z", exist_ok=True) + + os.system(f"cp {args.config} {fit_diagnostics_save_drn}") + + sdss_z_min = [SDSS_Z_MIN, 0.1] + sdss_z_max = [0.1, SDSS_Z_MAX] + + initial_pts = [] + start = time.time() + for epoch in range(0, cfg["epoch"]["n_it"]): + print(f'Running Epoch {epoch+1}/{cfg["epoch"]["n_it"]}...') + sdss = load_sdss.refresh_lh_centroids(SDSS) + + # SDSS + sdss_meta_data, sdss_fitting_data = lhu.get_zbins_lh_lc( + ran_key, + SDSS, + sdss_z_min, + sdss_z_max, + ssp_data, + cfg["epoch"]["N_centroids"], + lh_N_z_savedir=fit_diagnostics_save_drn + "/lh_N_z", + num_halos=cfg["epoch"]["num_halos"], + ) + + loss_hist, u_theta_fit = Np_specphot_opt.fit_N_multi_z( + u_theta_fit, + trainable_params, + ran_key, + sdss_meta_data, + sdss_fitting_data, + n_steps=cfg["epoch"]["n_steps"], + step_size=cfg["epoch"]["step_size"], + ) + + param_collection_fit = pu.get_param_collection_from_u_theta(u_theta_fit) + lc_mock.write_diffsky_param_collection_merging( + fit_save_drn, + cfg["fit_runid"] + "_" + cfg["fit_type"], + param_collection_fit, + ) + + if epoch == 0: + STEPS = np.arange(1, cfg["epoch"]["n_steps"] + 1, 1) + + LOSS_HIST = loss_hist + + initial_pts.append((STEPS[0], LOSS_HIST[0])) + else: + steps = np.arange(STEPS[-1] + 1, STEPS[-1] + cfg["epoch"]["n_steps"] + 1, 1) + initial_pts.append((steps[0], loss_hist[0])) + + STEPS = np.concatenate((STEPS, steps)) + LOSS_HIST = np.concatenate((LOSS_HIST, loss_hist)) + + end = time.time() + elapsed = end - start + print( + f'Gradient descent took {elapsed/60:.3f} minutes for {cfg["epoch"]["n_steps"]*cfg["epoch"]["n_it"]} steps.' + ) + print(f'speed: {elapsed/(cfg["epoch"]["n_steps"]*cfg["epoch"]["n_it"]):.3f} s/it') + + # gradient descent figure + fig_loss, ax_loss = plt.subplots(1) + + start_step = [s[0] for s in initial_pts] + start_loss = [s[1] for s in initial_pts] + ax_loss.scatter(start_step, start_loss, s=50, c="deepskyblue") + + ax_loss.plot(STEPS, LOSS_HIST, c="deepskyblue") + ax_loss.set_ylabel("Poisson Loss") + ax_loss.set_xlabel("steps") + ts = datetime.now().strftime("%Y-%m-%d_%H:%M:%S") + plt.savefig(fit_diagnostics_save_drn + "/loss/sdss_loss_" + ts + ".png") + plt.close() diff --git a/scripts/fit_sdss_feniks.py b/scripts/fit_sdss_feniks.py new file mode 100644 index 000000000..a13537692 --- /dev/null +++ b/scripts/fit_sdss_feniks.py @@ -0,0 +1,193 @@ +import argparse +import os +import time +from datetime import datetime + +import jax.numpy as jnp +import matplotlib.pyplot as plt +import numpy as np +import yaml +from diffsky.data_loaders.hacc_utils import lc_mock +from diffsky.merging.merging_model import DEFAULT_MERGE_PARAMS +from diffsky.param_utils.spspop_param_utils import DEFAULT_SPSPOP_PARAMS +from diffsky.ssp_err_model.defaults import ZERO_SSPERR_PARAMS +from diffstar.diffstarpop.kernels.params.params_diffstarpopfits_mgash import ( + DiffstarPop_Params_Diffstarpopfits_mgash, +) +from dsps import load_ssp_templates +from dsps.data_loaders import load_emline_info as lemi +from jax import random as jran + +from diffhtwo.experimental import param_utils as pu +from diffhtwo.experimental.data_loaders import load_feniks, load_sdss +from diffhtwo.experimental.defaults import ( + FENIKS_Z_MIN, + SDSS_Z_MAX, + SDSS_Z_MIN, +) +from diffhtwo.experimental.latin_hypercube import lh_utils as lhu +from diffhtwo.experimental.optimizers import Np_specphot_opt + +DIFFSTARPOP_GALACTICUS_exsitu = DiffstarPop_Params_Diffstarpopfits_mgash[ + "galacticus_in_plus_ex_situ" +] + +if __name__ == "__main__": + p = argparse.ArgumentParser() + p.add_argument("--config", default="config_sdss_feniks.yaml") + args = p.parse_args() + + with open(args.config) as f: + cfg = yaml.safe_load(f) + + sdss_drn = cfg["base_path"] + "/sdss" + feniks_drn = cfg["base_path"] + "/feniks" + + ssp_filename = ( + cfg["base_path"] + + "/ssp_data/ssp_w_emlines/fsps_v0.4.7_mist_c3k_a_kroupa_wNE_logGasU-2.0_logGasZ0.0.h5" + ) + + # get ssp data + ssp_data = load_ssp_templates(fn=ssp_filename) + ssp_data = lemi.get_subset_emline_data(ssp_data, ["Ba_alpha_6563"]) + emline_wave_aa = jnp.array(ssp_data.ssp_emline_wave[0]) + emline_wave_table = jnp.array([emline_wave_aa]) + + # load data + ran_key = jran.key(0) + SDSS = load_sdss.get_sdss_data(sdss_drn, ran_key, ssp_data) + FENIKS = load_feniks.get_feniks_data( + feniks_drn, ran_key, ssp_data, lh_d_mag=cfg["feniks"]["lh_d_mag"] + ) + # start fit dirs + fit_start_drn = cfg["base_path"] + "/fits/" + cfg["start_runid"] + "/" + param_collection_fit = lc_mock.load_diffsky_param_collection_merging( + fit_start_drn, + cfg["start_runid"] + "_" + cfg["start_fit_type"], + ) + if cfg["defaults"]["diffstarpop"]: + param_collection_fit = param_collection_fit._replace( + diffstarpop_params=DIFFSTARPOP_GALACTICUS_exsitu + ) + if cfg["defaults"]["spspop"]: + param_collection_fit = param_collection_fit._replace( + spspop_params=DEFAULT_SPSPOP_PARAMS + ) + if cfg["defaults"]["ssperr"]: + param_collection_fit = param_collection_fit._replace( + ssperr_params=ZERO_SSPERR_PARAMS + ) + if cfg["defaults"]["merging"]: + param_collection_fit = param_collection_fit._replace( + merging_params=DEFAULT_MERGE_PARAMS + ) + + u_theta_fit = pu.get_u_theta_from_param_collection(param_collection_fit) + + # fit dirs + trainable_params = pu.get_trainable_params(fit_type=cfg["fit_type"]) + fit_save_drn = cfg["base_path"] + "/fits/" + cfg["fit_runid"] + "/" + fit_diagnostics_save_drn = ( + cfg["base_path"] + + "/fits/" + + cfg["fit_runid"] + + "/diagnostic_plots/" + + cfg["fit_type"] + ) + os.makedirs(fit_diagnostics_save_drn + "/loss", exist_ok=True) + os.makedirs(fit_diagnostics_save_drn + "/sdss_lh_N_z", exist_ok=True) + os.makedirs(fit_diagnostics_save_drn + "/feniks_lh_N_z", exist_ok=True) + + os.system(f"cp {args.config} {fit_diagnostics_save_drn}") + + sdss_z_min = [SDSS_Z_MIN, 0.1] + sdss_z_max = [0.1, SDSS_Z_MAX] + + feniks_z_min = [FENIKS_Z_MIN, 1] + feniks_z_max = [1, 2] + + initial_pts = [] + start = time.time() + for epoch in range(0, cfg["epoch"]["n_it"]): + print(f'Running Epoch {epoch+1}/{cfg["epoch"]["n_it"]}...') + sdss = load_sdss.refresh_lh_centroids(SDSS) + + # SDSS + sdss_meta_data, sdss_fitting_data = lhu.get_zbins_lh_lc( + ran_key, + SDSS, + sdss_z_min, + sdss_z_max, + ssp_data, + cfg["sdss"]["N_centroids"], + lh_N_z_savedir=fit_diagnostics_save_drn + "/sdss_lh_N_z", + num_halos=cfg["epoch"]["num_halos"], + ) + + # FENIKS + feniks_meta_data, feniks_fitting_data = lhu.get_zbins_lh_lc( + ran_key, + FENIKS, + feniks_z_min, + feniks_z_max, + ssp_data, + cfg["feniks"]["N_centroids"], + lh_N_z_savedir=fit_diagnostics_save_drn + "/feniks_lh_N_z", + num_halos=cfg["epoch"]["num_halos"], + ) + + loss_hist, u_theta_fit = Np_specphot_opt.fit_sdss_feniks_hizels( + u_theta_fit, + trainable_params, + ran_key, + sdss_meta_data, + sdss_fitting_data, + feniks_meta_data, + feniks_fitting_data, + # hizels, + # line_wave_table, + n_steps=cfg["epoch"]["n_steps"], + step_size=cfg["epoch"]["step_size"], + ) + + param_collection_fit = pu.get_param_collection_from_u_theta(u_theta_fit) + lc_mock.write_diffsky_param_collection_merging( + fit_save_drn, + cfg["fit_runid"] + "_" + cfg["fit_type"], + param_collection_fit, + ) + + if epoch == 0: + STEPS = np.arange(1, cfg["epoch"]["n_steps"] + 1, 1) + + LOSS_HIST = loss_hist + + initial_pts.append((STEPS[0], LOSS_HIST[0])) + else: + steps = np.arange(STEPS[-1] + 1, STEPS[-1] + cfg["epoch"]["n_steps"] + 1, 1) + initial_pts.append((steps[0], loss_hist[0])) + + STEPS = np.concatenate((STEPS, steps)) + LOSS_HIST = np.concatenate((LOSS_HIST, loss_hist)) + + end = time.time() + elapsed = end - start + print( + f'Gradient descent took {elapsed/60:.3f} minutes for {cfg["epoch"]["n_steps"]*cfg["epoch"]["n_it"]} steps.' + ) + print(f'speed: {elapsed/(cfg["epoch"]["n_steps"]*cfg["epoch"]["n_it"]):.3f} s/it') + + # gradient descent figure + fig_loss, ax_loss = plt.subplots(1) + + start_step = [s[0] for s in initial_pts] + start_loss = [s[1] for s in initial_pts] + ax_loss.scatter(start_step, start_loss, s=50, c="deepskyblue") + + ax_loss.plot(STEPS, LOSS_HIST, c="deepskyblue") + ax_loss.set_ylabel("Poisson Loss") + ax_loss.set_xlabel("steps") + ts = datetime.now().strftime("%Y-%m-%d_%H:%M:%S") + plt.savefig(fit_diagnostics_save_drn + "/loss/sdss_feniks_loss_" + ts + ".png") + plt.close() diff --git a/scripts/generate_diagnostic_plots.py b/scripts/generate_diagnostic_plots.py index e5bfc052b..2f9c805c9 100644 --- a/scripts/generate_diagnostic_plots.py +++ b/scripts/generate_diagnostic_plots.py @@ -13,11 +13,20 @@ from dsps.data_loaders import load_emline_info as lemi from jax import random as jran -from diffhtwo.experimental.data_loaders import load_feniks -from diffhtwo.experimental.defaults import FENIKS_Z_MAX, FENIKS_Z_MIN +from diffhtwo.experimental.data_loaders import load_feniks, load_sdss +from diffhtwo.experimental.defaults import ( + FENIKS_Z_MAX, + FENIKS_Z_MIN, + SDSS_Z_MAX, + SDSS_Z_MIN, +) from diffhtwo.experimental.diagnostics.plot_avpop_mono import ( make_avpop_mono_comparison_plots, ) +from diffhtwo.experimental.diagnostics.plot_burstpop import ( + make_fburstpop_comparison_plot, + plot_lgfburst_mh_z, +) from diffhtwo.experimental.diagnostics.plot_cen import plot_massive_cen_colors from diffhtwo.experimental.diagnostics.plot_phot import ( plot_n_colors_mag, @@ -41,6 +50,7 @@ os.environ["COSMOS20_DRN"] = cfg["cosmos20_drn"] os.environ["DSPS_DRN"] = cfg["dsps_drn"] feniks_drn = cfg["feniks_drn"] + sdss_drn = cfg["sdss_drn"] ssp_filename = cfg["ssp_file"] fit_diagnostics_save_drn = cfg["fit_diagnostics_save_drn"] param_collection_fit = lc_mock.load_diffsky_param_collection_merging( @@ -48,169 +58,341 @@ cfg["model_nickname"], ) + num_halos = cfg["plots"]["num_halos"] + # get ssp data ssp_data = load_ssp_templates(fn=ssp_filename) ssp_data = lemi.get_subset_emline_data(ssp_data, ["Ba_alpha_6563"]) emline_wave_aa = jnp.array(ssp_data.ssp_emline_wave[0]) emline_wave_table = jnp.array([emline_wave_aa]) - - # get feniks dataset ran_key = jran.key(0) - feniks = load_feniks.get_feniks_data( - feniks_drn, - ran_key, - ssp_data, - ) - - # Plot feniks fitted color-mag space and app mag funcs - feniks_zbins = np.array( - [ - [0.2, 0.4], - [0.5, 0.7], - [0.9, 1.1], - [1.2, 1.6], - [1.8, 2.2], - [2.2, 2.6], - [2.6, 3.0], - ] - ) - data_label = "feniks" - tcurves = feniks.filter_info.tcurves - mag_thresh = feniks.filter_info.mag_thresh - frac_cat = feniks.frac_cat - num_halos = cfg["plots"]["num_halos"] if cfg["plots"]["plot_satquench_model"]: plot_satquench_model( param_collection_fit.diffstarpop_params, - data_label, + "fit", fit_diagnostics_save_drn, plt_show=False, ) if cfg["plots"]["plot_insitu_smhm"]: # Plot in-situ SMHM - print("Generating FENIKS in-situ SMHM plot...") + print("Generating in-situ SMHM plot...") check_smhm.plot_diffstarpop_insitu_smhm( DEFAULT_DIFFSTARPOP_PARAMS, param_collection_fit.diffstarpop_params, fit_diagnostics_save_drn + "/insitu_smhm_w_default.png", ) - - if cfg["plots"]["plot_uvj"]: - # Plot feniks UVJ - print("Generating FENIKS UVJ plot...") - plot_uvj( - ran_key, - param_collection_fit, - ssp_data, - feniks_drn, - data_label, - fit_diagnostics_save_drn, - num_halos=num_halos, - ) - - if cfg["plots"]["plot_exsitu_frac"]: - # Plot feniks ex-situ frac - print("Generating FENIKS ex-situ frac plot...") - pdata = pcm.get_plotting_data( - **param_collection_fit._asdict(), - z_min=FENIKS_Z_MIN, - z_max=FENIKS_Z_MAX, - num_halos=num_halos, - ) - pcm.plot_ex_situ_fraction( - pdata=pdata, - model_nickname=data_label, - drn_out=fit_diagnostics_save_drn, - ) - # Plot feniks Avpop if cfg["plots"]["plot_avpop"]: - print("Generating FENIKS Avpop plot...") + print("Generating Avpop plot...") _ = make_avpop_mono_comparison_plots( param_collection_fit.spspop_params.dustpop_params.avpop_params, - fname=fit_diagnostics_save_drn + "/feniks_avpop_mono.png", + fname=fit_diagnostics_save_drn + "/avpop_mono.png", ) - for zbin in range(0, len(feniks_zbins)): - z_min = feniks_zbins[zbin][0] - z_max = feniks_zbins[zbin][1] + if cfg["plots"]["plot_burstpop"]: + print("Generating fburstpop plot...") + _ = make_fburstpop_comparison_plot( + param_collection_fit.spspop_params.burstpop_params.fburstpop_params, + fname=fit_diagnostics_save_drn + "/burstpop.png", + label1="fit", + ) - if cfg["plots"]["plot_colors_mags"]: - print( - f"Generating FENIKS photometry plots for {zbin+1}/{len(feniks_zbins)} z-bin..." - ) - plot_n_colors_mag( - feniks, - data_label, - param_collection_fit, - ran_key, - z_min, - z_max, - ssp_data, - fit_diagnostics_save_drn, - ) + """ + Plot FENIKS + """ + if cfg["plot_feniks"]: + feniks_label = "feniks" + feniks = load_feniks.get_feniks_data(feniks_drn, ran_key, ssp_data) + feniks_zbins = np.array( + [ + [0.2, 0.4], + [0.5, 0.7], + [0.9, 1.1], + [1.2, 1.6], + [1.8, 2.2], + [2.2, 2.6], + [2.6, 3.0], + ] + ) - if cfg["plots"]["plot_mags"]: - plot_n_mags( - feniks, - data_label, - param_collection_fit, + if cfg["plots"]["plot_uvj"]: + # Plot feniks UVJ + print("Generating FENIKS UVJ plot...") + plot_uvj( ran_key, - z_min, - z_max, + param_collection_fit, ssp_data, + feniks_drn, + feniks_label, fit_diagnostics_save_drn, + num_halos=num_halos, ) - if cfg["plots"]["plot_ssperr"]: - print( - f"Generating FENIKS ssp error plot for {zbin+1}/{len(feniks_zbins)} z-bin..." + if cfg["plots"]["plot_exsitu_frac"]: + # Plot feniks ex-situ frac + print("Generating FENIKS ex-situ frac plot...") + pdata = pcm.get_plotting_data( + **param_collection_fit._asdict(), + z_min=FENIKS_Z_MIN, + z_max=FENIKS_Z_MAX, + num_halos=num_halos, ) - z_obs = np.median((z_min, z_max)) - psspem.plot_ssp_err_model_delta_mag_vs_wavelength( - ssp_err_params=param_collection_fit.ssperr_params, - z_obs=z_obs, + pcm.plot_ex_situ_fraction( + pdata=pdata, + model_nickname=feniks_label + + "_z" + + str(FENIKS_Z_MIN) + + "-" + + str(FENIKS_Z_MAX), drn_out=fit_diagnostics_save_drn, - model_nickname=data_label, ) - if cfg["plots"]["plot_massive_cen_colors"]: - print( - f"Generating massive central colors plot for {zbin+1}/{len(feniks_zbins)} z-bin..." - ) - plot_massive_cen_colors( + if cfg["plots"]["plot_fburst_mh_z"]: + print("Generating FENIKS lgfburst plot...") + plot_lgfburst_mh_z( ran_key, param_collection_fit, - z_min, - z_max, - feniks.dataset_dim_labels, + FENIKS_Z_MIN, + FENIKS_Z_MAX, ssp_data, - tcurves, - data_label, + feniks.filter_info.tcurves, + feniks_label, fit_diagnostics_save_drn, - mag_thresh=mag_thresh, - frac_cat=frac_cat, + # mag_thresh=feniks.filter_info.mag_thresh, + # frac_cat=feniks.frac_cat, num_halos=num_halos, plt_show=False, ) - if cfg["plots"]["plot_satquench"]: - print( - f"Generating satquench plots for {zbin+1}/{len(feniks_zbins)} z-bin..." + for zbin in range(0, len(feniks_zbins)): + z_min = feniks_zbins[zbin][0] + z_max = feniks_zbins[zbin][1] + + if cfg["plots"]["plot_colors_mags"]: + print( + f"Generating FENIKS photometry plots for {zbin+1}/{len(feniks_zbins)} z-bin..." + ) + plot_n_colors_mag( + feniks, + feniks_label, + param_collection_fit, + ran_key, + z_min, + z_max, + ssp_data, + fit_diagnostics_save_drn, + ) + + if cfg["plots"]["plot_mags"]: + plot_n_mags( + feniks, + feniks_label, + param_collection_fit, + ran_key, + z_min, + z_max, + ssp_data, + fit_diagnostics_save_drn, + ) + + if cfg["plots"]["plot_ssperr"]: + print( + f"Generating FENIKS ssp error plot for {zbin+1}/{len(feniks_zbins)} z-bin..." + ) + z_obs = np.median((z_min, z_max)) + psspem.plot_ssp_err_model_delta_mag_vs_wavelength( + ssp_err_params=param_collection_fit.ssperr_params, + z_obs=z_obs, + drn_out=fit_diagnostics_save_drn, + model_nickname=feniks_label, + ) + + if cfg["plots"]["plot_massive_cen_colors"]: + print( + f"Generating massive central colors plot for {zbin+1}/{len(feniks_zbins)} z-bin..." + ) + plot_massive_cen_colors( + ran_key, + param_collection_fit, + z_min, + z_max, + feniks.dataset_dim_labels, + ssp_data, + feniks.filter_info.tcurves, + feniks_label, + fit_diagnostics_save_drn, + num_halos=num_halos, + plt_show=False, + ) + + # print( + # f"Generating massive central colors plot for {zbin+1}/{len(feniks_zbins)} z-bin with feniks specific additional weights that take into account magthresh and frac_cat..." + # ) + # plot_massive_cen_colors( + # ran_key, + # param_collection_fit, + # z_min, + # z_max, + # feniks.dataset_dim_labels, + # ssp_data, + # tcurves, + # feniks_label + "_weighted", + # fit_diagnostics_save_drn, + # mag_thresh=mag_thresh, + # frac_cat=frac_cat, + # num_halos=num_halos, + # plt_show=False, + # ) + + if cfg["plots"]["plot_satquench"]: + print( + f"Generating satquench plots for {zbin+1}/{len(feniks_zbins)} z-bin..." + ) + generate_sat_plots( + ran_key, + param_collection_fit, + z_min, + z_max, + ssp_data, + feniks.filter_info.tcurves, + feniks_label, + fit_diagnostics_save_drn, + mag_thresh=feniks.filter_info.mag_thresh, + frac_cat=feniks.frac_cat, + num_halos=num_halos, + plt_show=False, + ) + + """ + Plot SDSS + """ + if cfg["plot_sdss"]: + sdss_label = "sdss" + sdss = load_sdss.get_sdss_data(sdss_drn, ran_key, ssp_data) + sdss_zbins = np.array( + [ + [0.02, 0.06], + [0.06, 0.1], + [0.1, 0.14], + [0.14, 0.18], + [0.18, 0.2], + ] + ) + + if cfg["plots"]["plot_exsitu_frac"]: + # Plot feniks ex-situ frac + print("Generating SDSS ex-situ frac plot...") + pdata = pcm.get_plotting_data( + **param_collection_fit._asdict(), + z_min=SDSS_Z_MIN, + z_max=SDSS_Z_MAX, + num_halos=num_halos, ) - generate_sat_plots( + pcm.plot_ex_situ_fraction( + pdata=pdata, + model_nickname=sdss_label + + "_z" + + str(SDSS_Z_MIN) + + "-" + + str(SDSS_Z_MAX), + drn_out=fit_diagnostics_save_drn, + ) + + if cfg["plots"]["plot_fburst_mh_z"]: + print("Generating SDSS lgfburst plot...") + plot_lgfburst_mh_z( ran_key, param_collection_fit, - z_min, - z_max, + SDSS_Z_MIN, + SDSS_Z_MAX, ssp_data, - tcurves, - data_label, + sdss.filter_info.tcurves, + sdss_label, fit_diagnostics_save_drn, - mag_thresh=mag_thresh, - frac_cat=frac_cat, + # mag_thresh=sdss.filter_info.mag_thresh, + # frac_cat=sdss.frac_cat, num_halos=num_halos, plt_show=False, ) + + for zbin in range(0, len(sdss_zbins)): + z_min = sdss_zbins[zbin][0] + z_max = sdss_zbins[zbin][1] + + if cfg["plots"]["plot_colors_mags"]: + print( + f"Generating SDSS photometry plots for {zbin+1}/{len(sdss_zbins)} z-bin..." + ) + plot_n_colors_mag( + sdss, + sdss_label, + param_collection_fit, + ran_key, + z_min, + z_max, + ssp_data, + fit_diagnostics_save_drn, + ) + + if cfg["plots"]["plot_mags"]: + plot_n_mags( + sdss, + sdss_label, + param_collection_fit, + ran_key, + z_min, + z_max, + ssp_data, + fit_diagnostics_save_drn, + ) + + if cfg["plots"]["plot_ssperr"]: + print( + f"Generating SDSS ssp error plot for {zbin+1}/{len(sdss_zbins)} z-bin..." + ) + z_obs = np.median((z_min, z_max)) + psspem.plot_ssp_err_model_delta_mag_vs_wavelength( + ssp_err_params=param_collection_fit.ssperr_params, + z_obs=z_obs, + drn_out=fit_diagnostics_save_drn, + model_nickname=sdss_label, + ) + + if cfg["plots"]["plot_massive_cen_colors"]: + print( + f"Generating massive central colors plot for {zbin+1}/{len(sdss_zbins)} z-bin..." + ) + plot_massive_cen_colors( + ran_key, + param_collection_fit, + z_min, + z_max, + sdss.dataset_dim_labels, + ssp_data, + sdss.filter_info.tcurves, + sdss_label, + fit_diagnostics_save_drn, + num_halos=num_halos, + plt_show=False, + ) + + if cfg["plots"]["plot_satquench"]: + print( + f"Generating satquench plots for {zbin+1}/{len(sdss_zbins)} z-bin..." + ) + generate_sat_plots( + ran_key, + param_collection_fit, + z_min, + z_max, + ssp_data, + sdss.filter_info.tcurves, + sdss_label, + fit_diagnostics_save_drn, + mag_thresh=sdss.filter_info.mag_thresh, + frac_cat=sdss.frac_cat, + num_halos=num_halos, + plt_show=False, + )