Package evaluation of DCEMRI on Julia 1.11.4 (a71dd056e0*) started at 2025-04-08T17:50:37.100 ################################################################################ # Set-up # Installing PkgEval dependencies (TestEnv)... Set-up completed after 8.35s ################################################################################ # Installation # Installing DCEMRI... Resolving package versions... Installed Conda ── v1.10.2 Installed PyCall ─ v1.96.4 Updating `~/.julia/environments/v1.11/Project.toml` [2b3899e7] + DCEMRI v0.2.4 Updating `~/.julia/environments/v1.11/Manifest.toml` [47edcb42] + ADTypes v1.14.0 [79e6a3ab] + Adapt v4.3.0 [66dad0bd] + AliasTables v1.1.3 [c7e460c6] + ArgParse v1.2.0 [4fba245c] + ArrayInterface v7.18.0 [e1450e63] + BufferedStreams v1.2.2 [49dc2e85] + Calculus v0.5.2 [944b1d66] + CodecZlib v0.7.8 [3da002f7] + ColorTypes v0.12.1 [5ae59095] + Colors v0.13.0 [bbf7d656] + CommonSubexpressions v0.3.1 [34da2185] + Compat v4.16.0 [8f4d0f93] + Conda v1.10.2 [187b0558] + ConstructionBase v1.5.8 [2b3899e7] + DCEMRI v0.2.4 [9a962f9c] + DataAPI v1.16.0 [864edb3b] + DataStructures v0.18.22 [163ba53b] + DiffResults v1.1.0 [b552c78f] + DiffRules v1.15.1 [a0c0ee7d] + DifferentiationInterface v0.6.50 [31c24e10] + Distributions v0.25.118 [ffbed154] + DocStringExtensions v0.9.4 [1a297f60] + FillArrays v1.13.0 [6a86dc24] + FiniteDiff v2.27.0 [53c48c17] + FixedPointNumbers v0.8.5 ⌅ [f6369f11] + ForwardDiff v0.10.38 [f67ccb44] + HDF5 v0.17.2 [34004b35] + HypergeometricFunctions v0.3.28 [92d709cd] + IrrationalConstants v0.2.4 [692b3bcd] + JLLWrappers v1.7.0 [682c06a0] + JSON v0.21.4 [b964fa9f] + LaTeXStrings v1.4.0 [2ab3a3ac] + LogExpFunctions v0.3.29 ⌅ [2fda8390] + LsqFit v0.12.1 [23992714] + MAT v0.10.7 [3da0fdf6] + MPIPreferences v0.1.11 [1914dd2f] + MacroTools v0.5.15 [e1d29d7a] + Missings v1.2.0 [d41bc354] + NLSolversBase v7.9.1 [77ba4419] + NaNMath v1.1.3 [87e2bd06] + OptimBase v2.0.2 [bac558e1] + OrderedCollections v1.8.0 [90014a1f] + PDMats v0.11.33 [69de0a69] + Parsers v2.8.1 ⌅ [aea7be01] + PrecompileTools v1.2.1 [21216c6a] + Preferences v1.4.3 [43287f4e] + PtrArrays v1.3.0 [438e738f] + PyCall v1.96.4 [d330b81b] + PyPlot v2.11.6 [1fd47b50] + QuadGK v2.11.2 [189a3867] + Reexport v1.2.2 [ae029012] + Requires v1.3.1 [79098fc4] + Rmath v0.8.0 [efcf1570] + Setfield v1.1.2 [a2af1166] + SortingAlgorithms v1.2.1 [276daf66] + SpecialFunctions v2.5.0 [1e83bf80] + StaticArraysCore v1.4.3 [10745b16] + Statistics v1.11.1 [82ae8749] + StatsAPI v1.7.0 ⌅ [2913bbd2] + StatsBase v0.33.21 [4c63d2b9] + StatsFuns v1.4.0 [b718987f] + TextWrap v1.0.2 [3bb67fe8] + TranscodingStreams v0.11.3 [81def892] + VersionParsing v1.3.0 [0234f1f7] + HDF5_jll v1.14.6+0 [e33a78d0] + Hwloc_jll v2.12.0+0 [7cb0a576] + MPICH_jll v4.3.0+1 [f1f71cc9] + MPItrampoline_jll v5.5.3+0 [9237b28f] + MicrosoftMPI_jll v10.1.4+3 [fe0851c0] + OpenMPI_jll v5.0.7+2 [458c3c95] + OpenSSL_jll v3.0.16+0 [efe28fd5] + OpenSpecFun_jll v0.5.6+0 [f50d1b31] + Rmath_jll v0.5.1+0 [477f73a3] + libaec_jll v1.1.3+0 [0dad84c5] + ArgTools v1.1.2 [56f22d72] + Artifacts v1.11.0 [2a0f44e3] + Base64 v1.11.0 [ade2ca70] + Dates v1.11.0 [8ba89e20] + Distributed v1.11.0 [f43a241f] + Downloads v1.6.0 [7b1f6079] + FileWatching v1.11.0 [9fa8497b] + Future v1.11.0 [b77e0a4c] + InteractiveUtils v1.11.0 [4af54fe1] + LazyArtifacts v1.11.0 [b27032c2] + LibCURL v0.6.4 [76f85450] + LibGit2 v1.11.0 [8f399da3] + Libdl v1.11.0 [37e2e46d] + LinearAlgebra v1.11.0 [56ddb016] + Logging v1.11.0 [d6f4376e] + Markdown v1.11.0 [a63ad114] + Mmap v1.11.0 [ca575930] + NetworkOptions v1.2.0 [44cfe95a] + Pkg v1.11.0 [de0858da] + Printf v1.11.0 [9a3f8284] + Random v1.11.0 [ea8e919c] + SHA v0.7.0 [9e88b42a] + Serialization v1.11.0 [6462fe0b] + Sockets v1.11.0 [2f01184e] + SparseArrays v1.11.0 [4607b0f0] + SuiteSparse [fa267f1f] + TOML v1.0.3 [a4e569a6] + Tar v1.10.0 [8dfed614] + Test v1.11.0 [cf7118a7] + UUIDs v1.11.0 [4ec0a83e] + Unicode v1.11.0 [e66e0078] + CompilerSupportLibraries_jll v1.1.1+0 [deac9b47] + LibCURL_jll v8.6.0+0 [e37daf67] + LibGit2_jll v1.7.2+0 [29816b5a] + LibSSH2_jll v1.11.0+1 [c8ffd9c3] + MbedTLS_jll v2.28.6+0 [14a3606d] + MozillaCACerts_jll v2023.12.12 [4536629a] + OpenBLAS_jll v0.3.27+1 [05823500] + OpenLibm_jll v0.8.5+0 [bea87d4a] + SuiteSparse_jll v7.7.0+0 [83775a58] + Zlib_jll v1.2.13+1 [8e850b90] + libblastrampoline_jll v5.11.0+0 [8e850ede] + nghttp2_jll v1.59.0+0 [3f19e933] + p7zip_jll v17.4.0+2 Info Packages marked with ⌅ have new versions available but compatibility constraints restrict them from upgrading. To see why use `status --outdated -m` Building Conda ─→ `~/.julia/scratchspaces/44cfe95a-1eb2-52ea-b672-e2afdf69b78f/b19db3927f0db4151cb86d073689f2428e524576/build.log` Building PyCall → `~/.julia/scratchspaces/44cfe95a-1eb2-52ea-b672-e2afdf69b78f/9816a3826b0ebf49ab4926e2b18842ad8b5c8f04/build.log` Installation completed after 73.4s ################################################################################ # Precompilation # Precompiling PkgEval dependencies... Precompiling package dependencies... Precompilation completed after 59.82s ################################################################################ # Testing # Testing DCEMRI Status `/tmp/jl_KXRxl8/Project.toml` [c7e460c6] ArgParse v1.2.0 [49dc2e85] Calculus v0.5.2 [2b3899e7] DCEMRI v0.2.4 ⌅ [2fda8390] LsqFit v0.12.1 [23992714] MAT v0.10.7 [d330b81b] PyPlot v2.11.6 [10745b16] Statistics v1.11.1 [8ba89e20] Distributed v1.11.0 [37e2e46d] LinearAlgebra v1.11.0 [44cfe95a] Pkg v1.11.0 [de0858da] Printf v1.11.0 [9a3f8284] Random v1.11.0 [8dfed614] Test v1.11.0 Status `/tmp/jl_KXRxl8/Manifest.toml` [47edcb42] ADTypes v1.14.0 [79e6a3ab] Adapt v4.3.0 [66dad0bd] AliasTables v1.1.3 [c7e460c6] ArgParse v1.2.0 [4fba245c] ArrayInterface v7.18.0 [e1450e63] BufferedStreams v1.2.2 [49dc2e85] Calculus v0.5.2 [944b1d66] CodecZlib v0.7.8 [3da002f7] ColorTypes v0.12.1 [5ae59095] Colors v0.13.0 [bbf7d656] CommonSubexpressions v0.3.1 [34da2185] Compat v4.16.0 [8f4d0f93] Conda v1.10.2 [187b0558] ConstructionBase v1.5.8 [2b3899e7] DCEMRI v0.2.4 [9a962f9c] DataAPI v1.16.0 [864edb3b] DataStructures v0.18.22 [163ba53b] DiffResults v1.1.0 [b552c78f] DiffRules v1.15.1 [a0c0ee7d] DifferentiationInterface v0.6.50 [31c24e10] Distributions v0.25.118 [ffbed154] DocStringExtensions v0.9.4 [1a297f60] FillArrays v1.13.0 [6a86dc24] FiniteDiff v2.27.0 [53c48c17] FixedPointNumbers v0.8.5 ⌅ [f6369f11] ForwardDiff v0.10.38 [f67ccb44] HDF5 v0.17.2 [34004b35] HypergeometricFunctions v0.3.28 [92d709cd] IrrationalConstants v0.2.4 [692b3bcd] JLLWrappers v1.7.0 [682c06a0] JSON v0.21.4 [b964fa9f] LaTeXStrings v1.4.0 [2ab3a3ac] LogExpFunctions v0.3.29 ⌅ [2fda8390] LsqFit v0.12.1 [23992714] MAT v0.10.7 [3da0fdf6] MPIPreferences v0.1.11 [1914dd2f] MacroTools v0.5.15 [e1d29d7a] Missings v1.2.0 [d41bc354] NLSolversBase v7.9.1 [77ba4419] NaNMath v1.1.3 [87e2bd06] OptimBase v2.0.2 [bac558e1] OrderedCollections v1.8.0 [90014a1f] PDMats v0.11.33 [69de0a69] Parsers v2.8.1 ⌅ [aea7be01] PrecompileTools v1.2.1 [21216c6a] Preferences v1.4.3 [43287f4e] PtrArrays v1.3.0 [438e738f] PyCall v1.96.4 [d330b81b] PyPlot v2.11.6 [1fd47b50] QuadGK v2.11.2 [189a3867] Reexport v1.2.2 [ae029012] Requires v1.3.1 [79098fc4] Rmath v0.8.0 [efcf1570] Setfield v1.1.2 [a2af1166] SortingAlgorithms v1.2.1 [276daf66] SpecialFunctions v2.5.0 [1e83bf80] StaticArraysCore v1.4.3 [10745b16] Statistics v1.11.1 [82ae8749] StatsAPI v1.7.0 ⌅ [2913bbd2] StatsBase v0.33.21 [4c63d2b9] StatsFuns v1.4.0 [b718987f] TextWrap v1.0.2 [3bb67fe8] TranscodingStreams v0.11.3 [81def892] VersionParsing v1.3.0 [0234f1f7] HDF5_jll v1.14.6+0 [e33a78d0] Hwloc_jll v2.12.0+0 [7cb0a576] MPICH_jll v4.3.0+1 [f1f71cc9] MPItrampoline_jll v5.5.3+0 [9237b28f] MicrosoftMPI_jll v10.1.4+3 [fe0851c0] OpenMPI_jll v5.0.7+2 [458c3c95] OpenSSL_jll v3.0.16+0 [efe28fd5] OpenSpecFun_jll v0.5.6+0 [f50d1b31] Rmath_jll v0.5.1+0 [477f73a3] libaec_jll v1.1.3+0 [0dad84c5] ArgTools v1.1.2 [56f22d72] Artifacts v1.11.0 [2a0f44e3] Base64 v1.11.0 [ade2ca70] Dates v1.11.0 [8ba89e20] Distributed v1.11.0 [f43a241f] Downloads v1.6.0 [7b1f6079] FileWatching v1.11.0 [9fa8497b] Future v1.11.0 [b77e0a4c] InteractiveUtils v1.11.0 [4af54fe1] LazyArtifacts v1.11.0 [b27032c2] LibCURL v0.6.4 [76f85450] LibGit2 v1.11.0 [8f399da3] Libdl v1.11.0 [37e2e46d] LinearAlgebra v1.11.0 [56ddb016] Logging v1.11.0 [d6f4376e] Markdown v1.11.0 [a63ad114] Mmap v1.11.0 [ca575930] NetworkOptions v1.2.0 [44cfe95a] Pkg v1.11.0 [de0858da] Printf v1.11.0 [9a3f8284] Random v1.11.0 [ea8e919c] SHA v0.7.0 [9e88b42a] Serialization v1.11.0 [6462fe0b] Sockets v1.11.0 [2f01184e] SparseArrays v1.11.0 [4607b0f0] SuiteSparse [fa267f1f] TOML v1.0.3 [a4e569a6] Tar v1.10.0 [8dfed614] Test v1.11.0 [cf7118a7] UUIDs v1.11.0 [4ec0a83e] Unicode v1.11.0 [e66e0078] CompilerSupportLibraries_jll v1.1.1+0 [deac9b47] LibCURL_jll v8.6.0+0 [e37daf67] LibGit2_jll v1.7.2+0 [29816b5a] LibSSH2_jll v1.11.0+1 [c8ffd9c3] MbedTLS_jll v2.28.6+0 [14a3606d] MozillaCACerts_jll v2023.12.12 [4536629a] OpenBLAS_jll v0.3.27+1 [05823500] OpenLibm_jll v0.8.5+0 [bea87d4a] SuiteSparse_jll v7.7.0+0 [83775a58] Zlib_jll v1.2.13+1 [8e850b90] libblastrampoline_jll v5.11.0+0 [8e850ede] nghttp2_jll v1.59.0+0 [3f19e933] p7zip_jll v17.4.0+2 Info Packages marked with ⌅ have new versions available but compatibility constraints restrict them from upgrading. Testing Running tests... [ Info: Installing matplotlib via the Conda matplotlib package... [ Info: Running `conda install -q -y matplotlib` in root environment Channels: - conda-forge Platform: linux-64 Collecting package metadata (repodata.json): ...working... done Solving environment: ...working... done ## Package Plan ## environment location: /home/pkgeval/.julia/conda/3/x86_64 added / updated specs: - matplotlib The following packages will be downloaded: package | build ---------------------------|----------------- alsa-lib-1.2.13 | hb9d3cd8_0 547 KB conda-forge brotli-1.1.0 | hb9d3cd8_2 19 KB conda-forge brotli-bin-1.1.0 | hb9d3cd8_2 18 KB conda-forge cairo-1.18.4 | h3394656_0 955 KB conda-forge contourpy-1.3.1 | py312h68727a3_0 270 KB conda-forge cycler-0.12.1 | pyhd8ed1ab_1 13 KB conda-forge cyrus-sasl-2.1.27 | h54b06d7_7 214 KB conda-forge dbus-1.13.6 | h5008d03_3 604 KB conda-forge double-conversion-3.3.1 | h5888daf_0 68 KB conda-forge expat-2.6.4 | h5888daf_0 135 KB conda-forge font-ttf-dejavu-sans-mono-2.37| hab24e00_0 388 KB conda-forge font-ttf-inconsolata-3.000 | h77eed37_0 94 KB conda-forge font-ttf-source-code-pro-2.038| h77eed37_0 684 KB conda-forge font-ttf-ubuntu-0.83 | h77eed37_3 1.5 MB conda-forge fontconfig-2.15.0 | h7e30c49_1 259 KB conda-forge fonts-conda-ecosystem-1 | 0 4 KB conda-forge fonts-conda-forge-1 | 0 4 KB conda-forge fonttools-4.57.0 | py312h178313f_0 2.7 MB conda-forge freetype-2.13.3 | h48d6fc4_0 625 KB conda-forge graphite2-1.3.13 | h59595ed_1003 95 KB conda-forge harfbuzz-10.4.0 | h76408a6_0 1.6 MB conda-forge kiwisolver-1.4.8 | py312h84d6215_0 70 KB conda-forge lcms2-2.17 | h717163a_0 242 KB conda-forge lerc-4.0.0 | h27087fc_0 275 KB conda-forge libbrotlicommon-1.1.0 | hb9d3cd8_2 67 KB conda-forge libbrotlidec-1.1.0 | hb9d3cd8_2 32 KB conda-forge libbrotlienc-1.1.0 | hb9d3cd8_2 275 KB conda-forge libclang-cpp19.1-19.1.7 |default_hb5137d0_2 19.6 MB conda-forge libclang13-19.1.7 |default_h9c6a7e4_2 11.3 MB conda-forge libcups-2.3.3 | h4637d8d_4 4.3 MB conda-forge libdeflate-1.23 | h4ddbbb0_0 71 KB conda-forge libdrm-2.4.124 | hb9d3cd8_0 237 KB conda-forge libegl-1.7.0 | ha4b6fd6_2 44 KB conda-forge libgl-1.7.0 | ha4b6fd6_2 132 KB conda-forge libglib-2.84.1 | h2ff4ddf_0 3.8 MB conda-forge libglvnd-1.7.0 | ha4b6fd6_2 129 KB conda-forge libglx-1.7.0 | ha4b6fd6_2 74 KB conda-forge libjpeg-turbo-3.0.0 | hd590300_1 604 KB conda-forge libllvm19-19.1.7 | ha7bfdaf_1 38.3 MB conda-forge libntlm-1.8 | hb9d3cd8_0 33 KB conda-forge libopengl-1.7.0 | ha4b6fd6_2 50 KB conda-forge libpciaccess-0.18 | hd590300_0 28 KB conda-forge libpng-1.6.47 | h943b412_0 282 KB conda-forge libpq-17.4 | h27ae623_1 2.6 MB conda-forge libtiff-4.7.0 | hd9ff511_3 418 KB conda-forge libwebp-base-1.5.0 | h851e524_0 420 KB conda-forge libxcb-1.17.0 | h8a09558_0 387 KB conda-forge libxkbcommon-1.8.1 | hc4a0caf_0 630 KB conda-forge libxslt-1.1.39 | h76b75d6_0 248 KB conda-forge matplotlib-3.10.1 | py312h7900ff3_0 17 KB conda-forge matplotlib-base-3.10.1 | py312hd3ec401_0 7.9 MB conda-forge munkres-1.1.4 | pyh9f0ad1d_0 12 KB conda-forge mysql-common-9.0.1 | h266115a_4 605 KB conda-forge mysql-libs-9.0.1 | he0572af_4 1.3 MB conda-forge openjpeg-2.5.3 | h5fbd93e_0 335 KB conda-forge openldap-2.6.9 | he970967_0 766 KB conda-forge pcre2-10.44 | hba22ea6_2 930 KB conda-forge pillow-11.1.0 | py312h80c1187_0 40.8 MB conda-forge pixman-0.44.2 | h29eaf8c_0 372 KB conda-forge pthread-stubs-0.4 | hb9d3cd8_1002 8 KB conda-forge pyparsing-3.2.3 | pyhd8ed1ab_1 94 KB conda-forge pyside6-6.8.2 | py312h91f0f75_1 10.4 MB conda-forge python-dateutil-2.9.0.post0| pyhff2d567_1 217 KB conda-forge qhull-2020.2 | h434a139_5 540 KB conda-forge qt6-main-6.8.2 | h588cce1_0 49.1 MB conda-forge six-1.17.0 | pyhd8ed1ab_0 16 KB conda-forge tornado-6.4.2 | py312h66e93f0_0 821 KB conda-forge unicodedata2-16.0.0 | py312h66e93f0_0 395 KB conda-forge wayland-1.23.1 | h3e06ad9_0 314 KB conda-forge xcb-util-0.4.1 | hb711507_2 19 KB conda-forge xcb-util-cursor-0.1.5 | hb9d3cd8_0 20 KB conda-forge xcb-util-image-0.4.0 | hb711507_2 24 KB conda-forge xcb-util-keysyms-0.4.1 | hb711507_0 14 KB conda-forge xcb-util-renderutil-0.3.10 | hb711507_0 17 KB conda-forge xcb-util-wm-0.4.2 | hb711507_0 50 KB conda-forge xkeyboard-config-2.43 | hb9d3cd8_0 380 KB conda-forge xorg-libice-1.1.2 | hb9d3cd8_0 57 KB conda-forge xorg-libsm-1.2.6 | he73a12e_0 27 KB conda-forge xorg-libx11-1.8.12 | h4f16b4b_0 816 KB conda-forge xorg-libxau-1.0.12 | hb9d3cd8_0 14 KB conda-forge xorg-libxcomposite-0.4.6 | hb9d3cd8_2 13 KB conda-forge xorg-libxcursor-1.2.3 | hb9d3cd8_0 32 KB conda-forge xorg-libxdamage-1.1.6 | hb9d3cd8_0 13 KB conda-forge xorg-libxdmcp-1.1.5 | hb9d3cd8_0 19 KB conda-forge xorg-libxext-1.3.6 | hb9d3cd8_0 49 KB conda-forge xorg-libxfixes-6.0.1 | hb9d3cd8_0 19 KB conda-forge xorg-libxi-1.8.2 | hb9d3cd8_0 46 KB conda-forge xorg-libxrandr-1.5.4 | hb9d3cd8_0 29 KB conda-forge xorg-libxrender-0.9.12 | hb9d3cd8_0 32 KB conda-forge xorg-libxtst-1.2.5 | hb9d3cd8_3 32 KB conda-forge xorg-libxxf86vm-1.1.6 | hb9d3cd8_0 17 KB conda-forge ------------------------------------------------------------ Total: 211.8 MB The following NEW packages will be INSTALLED: alsa-lib conda-forge/linux-64::alsa-lib-1.2.13-hb9d3cd8_0 brotli conda-forge/linux-64::brotli-1.1.0-hb9d3cd8_2 brotli-bin conda-forge/linux-64::brotli-bin-1.1.0-hb9d3cd8_2 cairo conda-forge/linux-64::cairo-1.18.4-h3394656_0 contourpy conda-forge/linux-64::contourpy-1.3.1-py312h68727a3_0 cycler conda-forge/noarch::cycler-0.12.1-pyhd8ed1ab_1 cyrus-sasl conda-forge/linux-64::cyrus-sasl-2.1.27-h54b06d7_7 dbus conda-forge/linux-64::dbus-1.13.6-h5008d03_3 double-conversion conda-forge/linux-64::double-conversion-3.3.1-h5888daf_0 expat conda-forge/linux-64::expat-2.6.4-h5888daf_0 font-ttf-dejavu-s~ conda-forge/noarch::font-ttf-dejavu-sans-mono-2.37-hab24e00_0 font-ttf-inconsol~ conda-forge/noarch::font-ttf-inconsolata-3.000-h77eed37_0 font-ttf-source-c~ conda-forge/noarch::font-ttf-source-code-pro-2.038-h77eed37_0 font-ttf-ubuntu conda-forge/noarch::font-ttf-ubuntu-0.83-h77eed37_3 fontconfig conda-forge/linux-64::fontconfig-2.15.0-h7e30c49_1 fonts-conda-ecosy~ conda-forge/noarch::fonts-conda-ecosystem-1-0 fonts-conda-forge conda-forge/noarch::fonts-conda-forge-1-0 fonttools conda-forge/linux-64::fonttools-4.57.0-py312h178313f_0 freetype conda-forge/linux-64::freetype-2.13.3-h48d6fc4_0 graphite2 conda-forge/linux-64::graphite2-1.3.13-h59595ed_1003 harfbuzz conda-forge/linux-64::harfbuzz-10.4.0-h76408a6_0 kiwisolver conda-forge/linux-64::kiwisolver-1.4.8-py312h84d6215_0 lcms2 conda-forge/linux-64::lcms2-2.17-h717163a_0 lerc conda-forge/linux-64::lerc-4.0.0-h27087fc_0 libbrotlicommon conda-forge/linux-64::libbrotlicommon-1.1.0-hb9d3cd8_2 libbrotlidec conda-forge/linux-64::libbrotlidec-1.1.0-hb9d3cd8_2 libbrotlienc conda-forge/linux-64::libbrotlienc-1.1.0-hb9d3cd8_2 libclang-cpp19.1 conda-forge/linux-64::libclang-cpp19.1-19.1.7-default_hb5137d0_2 libclang13 conda-forge/linux-64::libclang13-19.1.7-default_h9c6a7e4_2 libcups conda-forge/linux-64::libcups-2.3.3-h4637d8d_4 libdeflate conda-forge/linux-64::libdeflate-1.23-h4ddbbb0_0 libdrm conda-forge/linux-64::libdrm-2.4.124-hb9d3cd8_0 libegl conda-forge/linux-64::libegl-1.7.0-ha4b6fd6_2 libgl conda-forge/linux-64::libgl-1.7.0-ha4b6fd6_2 libglib conda-forge/linux-64::libglib-2.84.1-h2ff4ddf_0 libglvnd conda-forge/linux-64::libglvnd-1.7.0-ha4b6fd6_2 libglx conda-forge/linux-64::libglx-1.7.0-ha4b6fd6_2 libjpeg-turbo conda-forge/linux-64::libjpeg-turbo-3.0.0-hd590300_1 libllvm19 conda-forge/linux-64::libllvm19-19.1.7-ha7bfdaf_1 libntlm conda-forge/linux-64::libntlm-1.8-hb9d3cd8_0 libopengl conda-forge/linux-64::libopengl-1.7.0-ha4b6fd6_2 libpciaccess conda-forge/linux-64::libpciaccess-0.18-hd590300_0 libpng conda-forge/linux-64::libpng-1.6.47-h943b412_0 libpq conda-forge/linux-64::libpq-17.4-h27ae623_1 libtiff conda-forge/linux-64::libtiff-4.7.0-hd9ff511_3 libwebp-base conda-forge/linux-64::libwebp-base-1.5.0-h851e524_0 libxcb conda-forge/linux-64::libxcb-1.17.0-h8a09558_0 libxkbcommon conda-forge/linux-64::libxkbcommon-1.8.1-hc4a0caf_0 libxslt conda-forge/linux-64::libxslt-1.1.39-h76b75d6_0 matplotlib conda-forge/linux-64::matplotlib-3.10.1-py312h7900ff3_0 matplotlib-base conda-forge/linux-64::matplotlib-base-3.10.1-py312hd3ec401_0 munkres conda-forge/noarch::munkres-1.1.4-pyh9f0ad1d_0 mysql-common conda-forge/linux-64::mysql-common-9.0.1-h266115a_4 mysql-libs conda-forge/linux-64::mysql-libs-9.0.1-he0572af_4 openjpeg conda-forge/linux-64::openjpeg-2.5.3-h5fbd93e_0 openldap conda-forge/linux-64::openldap-2.6.9-he970967_0 pcre2 conda-forge/linux-64::pcre2-10.44-hba22ea6_2 pillow conda-forge/linux-64::pillow-11.1.0-py312h80c1187_0 pixman conda-forge/linux-64::pixman-0.44.2-h29eaf8c_0 pthread-stubs conda-forge/linux-64::pthread-stubs-0.4-hb9d3cd8_1002 pyparsing conda-forge/noarch::pyparsing-3.2.3-pyhd8ed1ab_1 pyside6 conda-forge/linux-64::pyside6-6.8.2-py312h91f0f75_1 python-dateutil conda-forge/noarch::python-dateutil-2.9.0.post0-pyhff2d567_1 qhull conda-forge/linux-64::qhull-2020.2-h434a139_5 qt6-main conda-forge/linux-64::qt6-main-6.8.2-h588cce1_0 six conda-forge/noarch::six-1.17.0-pyhd8ed1ab_0 tornado conda-forge/linux-64::tornado-6.4.2-py312h66e93f0_0 unicodedata2 conda-forge/linux-64::unicodedata2-16.0.0-py312h66e93f0_0 wayland conda-forge/linux-64::wayland-1.23.1-h3e06ad9_0 xcb-util conda-forge/linux-64::xcb-util-0.4.1-hb711507_2 xcb-util-cursor conda-forge/linux-64::xcb-util-cursor-0.1.5-hb9d3cd8_0 xcb-util-image conda-forge/linux-64::xcb-util-image-0.4.0-hb711507_2 xcb-util-keysyms conda-forge/linux-64::xcb-util-keysyms-0.4.1-hb711507_0 xcb-util-renderut~ conda-forge/linux-64::xcb-util-renderutil-0.3.10-hb711507_0 xcb-util-wm conda-forge/linux-64::xcb-util-wm-0.4.2-hb711507_0 xkeyboard-config conda-forge/linux-64::xkeyboard-config-2.43-hb9d3cd8_0 xorg-libice conda-forge/linux-64::xorg-libice-1.1.2-hb9d3cd8_0 xorg-libsm conda-forge/linux-64::xorg-libsm-1.2.6-he73a12e_0 xorg-libx11 conda-forge/linux-64::xorg-libx11-1.8.12-h4f16b4b_0 xorg-libxau conda-forge/linux-64::xorg-libxau-1.0.12-hb9d3cd8_0 xorg-libxcomposite conda-forge/linux-64::xorg-libxcomposite-0.4.6-hb9d3cd8_2 xorg-libxcursor conda-forge/linux-64::xorg-libxcursor-1.2.3-hb9d3cd8_0 xorg-libxdamage conda-forge/linux-64::xorg-libxdamage-1.1.6-hb9d3cd8_0 xorg-libxdmcp conda-forge/linux-64::xorg-libxdmcp-1.1.5-hb9d3cd8_0 xorg-libxext conda-forge/linux-64::xorg-libxext-1.3.6-hb9d3cd8_0 xorg-libxfixes conda-forge/linux-64::xorg-libxfixes-6.0.1-hb9d3cd8_0 xorg-libxi conda-forge/linux-64::xorg-libxi-1.8.2-hb9d3cd8_0 xorg-libxrandr conda-forge/linux-64::xorg-libxrandr-1.5.4-hb9d3cd8_0 xorg-libxrender conda-forge/linux-64::xorg-libxrender-0.9.12-hb9d3cd8_0 xorg-libxtst conda-forge/linux-64::xorg-libxtst-1.2.5-hb9d3cd8_3 xorg-libxxf86vm conda-forge/linux-64::xorg-libxxf86vm-1.1.6-hb9d3cd8_0 Preparing transaction: ...working... done Verifying transaction: ...working... done Executing transaction: ...working... done Running analysis of noise-free QIBA v4 data ... running models found multi-flip data fitting R1 relaxation rate to multi-flip data running 6 x 90 points on one CPU core processed 90 voxels in 15.0 s (6.0 vox/s) computing signal enhancement ratios converting DCE signal to effective R1 converting effective R1 to tracer tissue concentration Ct fitting DCE data attempting Extended Tofts-Kety model running 661 x 90 points on one CPU core processed 90 voxels in 1.6 s (57.7 vox/s) Kt RMSE: 7.213202807225186 % errmax: 23.49531975527617 CCC: 0.9998008500507595 ve RMSE: 19.12662164399726 % errmax: 99.99999999999996 CCC: 0.8904282636383253 vp RMSE: 24.196101437238166 % errmax: 92.52778665873105 % CCC: 0.9999199032937786 Plotting results ... Running analysis of noisy QIBA v4 data ... running models found multi-flip data fitting R1 relaxation rate to multi-flip data running 6 x 9000 points on one CPU core processed 9000 voxels in 1.1 s (7865.8 vox/s) computing signal enhancement ratios converting DCE signal to effective R1 converting effective R1 to tracer tissue concentration Ct fitting DCE data attempting Extended Tofts-Kety model running 661 x 9000 points on one CPU core processed 9000 voxels in 32.7 s (275.6 vox/s) Kt RMSE: 36.47192214569598 % errmax: 100.0 CCC: 0.9742143067749632 ve RMSE: 40.582846601506276 % errmax: 100.0 CCC: 0.702587198699202 vp RMSE: 49.41983700967469 % errmax: 100.0 % CCC: 0.9717258865434845 Plotting results ... Validation complete. If saved, results can be found in /home/pkgeval/.julia/packages/DCEMRI/2wZOe/src/../test/q4. Test Summary: | Pass Total Time QIBA v4 Extended Tofts Phantom | 6 6 0.4s Running analysis of noise-free QIBA v6 data ... running models found existing R1 map computing signal enhancement ratios converting DCE signal to effective R1 converting effective R1 to tracer tissue concentration Ct fitting DCE data attempting Standard Tofts-Kety model running 1321 x 30 points on one CPU core processed 30 voxels in 1.0 s (29.4 vox/s) Kt RMSE: 0.06905821695088041 % errmax: 0.12117793873598975 CCC: 0.9999992183734597 ve RMSE: 0.08534910750191345 % errmax: 0.23374109638401622 CCC: 0.9999993737019063 Plotting results ... sys:1: RuntimeWarning: More than 20 figures have been opened. Figures created through the pyplot interface (`matplotlib.pyplot.figure`) are retained until explicitly closed and may consume too much memory. (To control this warning, see the rcParam `figure.max_open_warning`). Consider using `matplotlib.pyplot.close()`. Running analysis of noisy QIBA v6 data ... running models found existing R1 map computing signal enhancement ratios converting DCE signal to effective R1 converting effective R1 to tracer tissue concentration Ct fitting DCE data attempting Standard Tofts-Kety model running 1321 x 3000 points on one CPU core processed 3000 voxels in 23.8 s (125.9 vox/s) Kt RMSE: 43.206440839441015 % errmax: 100.0 CCC: 0.8536827680835973 ve RMSE: 51.777532081002015 % errmax: 100.0 CCC: 0.8667341073133195 Plotting results ... Validation complete. If saved, results can be found in /home/pkgeval/.julia/packages/DCEMRI/2wZOe/src/../test/q6. Test Summary: | Pass Total Time QIBA v6 Standard Tofts Phantom | 4 4 0.0s Processing in vivo data ... running models found multi-flip data fitting R1 relaxation rate to multi-flip data running 10 x 18327 points on one CPU core processed 18327 voxels in 1.7 s (10555.6 vox/s) computing signal enhancement ratios converting DCE signal to effective R1 converting effective R1 to tracer tissue concentration Ct fitting DCE data attempting Standard Tofts-Kety model running 25 x 6774 points on one CPU core processed 6774 voxels in 1.8 s (3704.7 vox/s) saving results to /home/pkgeval/.julia/packages/DCEMRI/2wZOe/demo/results/results.mat Plotting results ... Results can be found in /home/pkgeval/.julia/packages/DCEMRI/2wZOe/demo/results Demo run complete. Test Summary: | Total Time In-vivo demo | 0 33.9s Testing DCEMRI tests passed Testing completed after 260.51s PkgEval succeeded after 438.0s