Package evaluation to test DalitzPlot on Julia 1.14.0-DEV.2172 (32456e37ae*) started at 2026-05-13T02:41:40.607


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# Set-up
#

Installing PkgEval dependencies (TestEnv)...
  Activating project at `~/.julia/environments/v1.14`

Set-up completed after 16.08s


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# Installation
#

Installing DalitzPlot...
   Resolving package versions...
   Installed libaom_jll ─────────────────── v3.13.3+0
   Installed libass_jll ─────────────────── v0.17.4+0
   Installed HarfBuzz_jll ───────────────── v8.5.1+0
   Installed Bzip2_jll ──────────────────── v1.0.9+0
   Installed PlotThemes ─────────────────── v3.3.0
   Installed OrderedCollections ─────────── v1.8.1
   Installed Libtiff_jll ────────────────── v4.7.2+0
   Installed Qt6Base_jll ────────────────── v6.10.2+2
   Installed Libuuid_jll ────────────────── v2.42.0+0
   Installed Cairo_jll ──────────────────── v1.18.7+0
   Installed Graphite2_jll ──────────────── v1.3.15+0
   Installed Xorg_libXinerama_jll ───────── v1.1.7+0
   Installed libinput_jll ───────────────── v1.28.1+0
   Installed Xorg_libpciaccess_jll ──────── v0.19.0+0
   Installed OpenSpecFun_jll ────────────── v0.5.6+0
   Installed Fontconfig_jll ─────────────── v2.17.1+0
   Installed fzf_jll ────────────────────── v0.61.1+0
   Installed NaNMath ────────────────────── v1.1.3
   Installed QuadGK ─────────────────────── v2.11.3
   Installed Opus_jll ───────────────────── v1.6.1+0
   Installed FileIO ─────────────────────── v1.19.0
   Installed ScopedValues ───────────────── v1.6.2
   Installed Ogg_jll ────────────────────── v1.3.6+0
   Installed Tables ─────────────────────── v1.12.1
   Installed Xorg_libxcb_jll ────────────── v1.17.1+0
   Installed Reexport ───────────────────── v1.2.2
   Installed Unzip ──────────────────────── v0.2.0
   Installed Xorg_xcb_util_wm_jll ───────── v0.4.2+0
   Installed Missings ───────────────────── v1.2.0
   Installed TableTraits ────────────────── v1.0.1
   Installed libva_jll ──────────────────── v2.23.0+0
   Installed SortingAlgorithms ──────────── v1.2.2
   Installed Preferences ────────────────── v1.5.2
   Installed LERC_jll ───────────────────── v4.1.0+0
   Installed eudev_jll ──────────────────── v3.2.14+0
   Installed Grisu ──────────────────────── v1.0.2
   Installed LaTeXStrings ───────────────── v1.4.0
   Installed LLVMOpenMP_jll ─────────────── v18.1.8+0
   Installed FFMPEG ─────────────────────── v0.4.5
   Installed Format ─────────────────────── v1.3.7
   Installed libdrm_jll ─────────────────── v2.4.125+1
   Installed Xorg_libICE_jll ────────────── v1.1.2+0
   Installed EpollShim_jll ──────────────── v0.0.20230411+1 (no artifacts on this platform)
   Installed URIs ───────────────────────── v1.6.1
   Installed MacroTools ─────────────────── v0.5.16
   Installed DelimitedFiles ─────────────── v1.9.1
   Installed FillArrays ─────────────────── v1.16.0
   Installed DataStructures ─────────────── v0.18.22
   Installed StatsBase ──────────────────── v0.34.10
   Installed Xorg_xcb_util_jll ──────────── v0.4.1+0
   Installed UnicodeFun ─────────────────── v0.4.1
   Installed DataValueInterfaces ────────── v1.0.0
   Installed mtdev_jll ──────────────────── v1.1.7+0
   Installed CodecZlib ──────────────────── v0.7.8
   Installed x264_jll ───────────────────── v10164.0.1+0
   Installed Qt6ShaderTools_jll ─────────── v6.10.2+1
   Installed Xorg_libXau_jll ────────────── v1.0.13+0
   Installed Xorg_libXfixes_jll ─────────── v6.0.2+0
   Installed libdecor_jll ───────────────── v0.2.2+0
   Installed Libffi_jll ─────────────────── v3.4.7+0
   Installed Expat_jll ──────────────────── v2.8.0+0
   Installed Pixman_jll ─────────────────── v0.46.4+0
   Installed LoggingExtras ──────────────── v1.2.0
   Installed IrrationalConstants ────────── v0.2.6
   Installed Xorg_libXcursor_jll ────────── v1.2.4+0
   Installed Contour ────────────────────── v0.6.3
   Installed BitFlags ───────────────────── v0.1.9
   Installed libfdk_aac_jll ─────────────── v2.0.4+0
   Installed Xorg_xcb_util_keysyms_jll ──── v0.4.1+0
   Installed SimpleBufferStream ─────────── v1.2.0
   Installed ColorVectorSpace ───────────── v0.10.0
   Installed libpng_jll ─────────────────── v1.6.58+0
   Installed Scratch ────────────────────── v1.3.0
   Installed StableRNGs ─────────────────── v1.0.4
   Installed HTTP ───────────────────────── v1.11.0
   Installed FFMPEG_jll ─────────────────── v8.1.0+0
   Installed PDMats ─────────────────────── v0.11.37
   Installed Rmath_jll ──────────────────── v0.5.1+0
   Installed DocStringExtensions ────────── v0.9.5
   Installed Qt6Svg_jll ─────────────────── v6.10.2+0
   Installed Qt6Declarative_jll ─────────── v6.10.2+1
   Installed RelocatableFolders ─────────── v1.0.1
   Installed AliasTables ────────────────── v1.1.3
   Installed Plots ──────────────────────── v1.41.6
   Installed HalfIntegers ───────────────── v1.6.0
   Installed Ghostscript_jll ────────────── v9.55.1+0
   Installed ConcurrentUtilities ────────── v2.5.1
   Installed HashArrayMappedTries ───────── v0.2.0
   Installed JLFzf ──────────────────────── v0.1.11
   Installed RecipesBase ────────────────── v1.3.4
   Installed libevdev_jll ───────────────── v1.13.4+0
   Installed IteratorInterfaceExtensions ── v1.0.0
   Installed DataAPI ────────────────────── v1.16.0
   Installed Wayland_jll ────────────────── v1.24.0+0
   Installed TaskLocalValues ────────────── v0.1.3
   Installed Xorg_libXi_jll ─────────────── v1.8.3+0
   Installed Colors ─────────────────────── v0.12.11
   Installed StaticArraysCore ───────────── v1.4.4
   Installed Measures ───────────────────── v0.3.3
   Installed StaticArrays ───────────────── v1.9.18
   Installed Xorg_libxkbfile_jll ────────── v1.2.0+0
   Installed Libglvnd_jll ───────────────── v1.7.1+1
   Installed FastGaussQuadrature ────────── v1.2.0
   Installed Latexify ───────────────────── v0.16.10
   Installed ColorTypes ─────────────────── v0.11.5
   Installed Glib_jll ───────────────────── v2.86.3+0
   Installed LogExpFunctions ────────────── v0.3.29
   Installed JSON ───────────────────────── v0.21.4
   Installed Vulkan_Loader_jll ──────────── v1.3.243+0
   Installed Xorg_xkbcomp_jll ───────────── v1.4.7+0
   Installed Requires ───────────────────── v1.3.1
   Installed Xorg_xcb_util_renderutil_jll ─ v0.3.10+0
   Installed Xorg_xcb_util_cursor_jll ───── v0.1.6+0
   Installed Rmath ──────────────────────── v0.9.0
   Installed Parsers ────────────────────── v2.8.4
   Installed Xorg_libXdmcp_jll ──────────── v1.1.6+0
   Installed Xorg_xkeyboard_config_jll ──── v2.47.0+0
   Installed StatsFuns ──────────────────── v1.5.2
   Installed Distributions ──────────────── v0.25.125
   Installed x265_jll ───────────────────── v4.1.0+0
   Installed Xorg_libSM_jll ─────────────── v1.2.6+0
   Installed IterTools ──────────────────── v1.10.0
   Installed RecipesPipeline ────────────── v0.6.12
   Installed XZ_jll ─────────────────────── v5.8.3+0
   Installed JLLWrappers ────────────────── v1.8.0
   Installed ProgressBars ───────────────── v1.5.1
   Installed Pango_jll ──────────────────── v1.57.1+0
   Installed Xorg_xtrans_jll ────────────── v1.6.0+0
   Installed ConstructionBase ───────────── v1.6.0
   Installed Compose ────────────────────── v0.9.6
   Installed GR_jll ─────────────────────── v0.73.24+0
   Installed ColorSchemes ───────────────── v3.31.0
   Installed JpegTurbo_jll ──────────────── v3.1.5+0
   Installed Dbus_jll ───────────────────── v1.16.2+0
   Installed HypergeometricFunctions ────── v0.3.28
   Installed ExceptionUnwrapping ────────── v0.1.11
   Installed JLD2 ───────────────────────── v0.5.15
   Installed TranscodingStreams ─────────── v0.11.3
   Installed Libmount_jll ───────────────── v2.42.0+0
   Installed TensorCore ─────────────────── v0.1.1
   Installed Statistics ─────────────────── v1.11.1
   Installed StatsAPI ───────────────────── v1.8.0
   Installed StructArrays ───────────────── v0.6.21
   Installed GR ─────────────────────────── v0.73.24
   Installed Compat ─────────────────────── v4.18.1
   Installed MbedTLS ────────────────────── v1.1.10
   Installed Xorg_libX11_jll ────────────── v1.8.13+0
   Installed PlotUtils ──────────────────── v1.4.4
   Installed ProgressMeter ──────────────── v1.11.0
   Installed PrecompileTools ────────────── v1.3.3
   Installed OffsetArrays ───────────────── v1.17.0
   Installed Xorg_xcb_util_image_jll ────── v0.4.1+0
   Installed xkbcommon_jll ──────────────── v1.13.0+0
   Installed GettextRuntime_jll ─────────── v0.22.4+0
   Installed LAME_jll ───────────────────── v3.100.3+0
   Installed OpenSSL ────────────────────── v1.6.1
   Installed libvorbis_jll ──────────────── v1.3.8+0
   Installed FriBidi_jll ────────────────── v1.0.17+0
   Installed GLFW_jll ───────────────────── v3.4.1+1
   Installed Showoff ────────────────────── v1.0.3
   Installed FixedPointNumbers ──────────── v0.8.5
   Installed Xorg_libXrender_jll ────────── v0.9.12+0
   Installed PtrArrays ──────────────────── v1.4.0
   Installed WignerD ────────────────────── v0.1.4
   Installed SpecialFunctions ───────────── v2.7.2
   Installed Libiconv_jll ───────────────── v1.18.0+0
   Installed FreeType2_jll ──────────────── v2.14.3+1
   Installed MbedTLS_jll ────────────────── v2.28.1010+0
   Installed DalitzPlot ─────────────────── v0.4.2
   Installed Xorg_libXext_jll ───────────── v1.3.8+0
   Installed Xorg_libXrandr_jll ─────────── v1.5.6+0
   Installed Qt6Wayland_jll ─────────────── v6.10.2+1
  Installing 80 artifacts
   Installed artifact Ogg                      250.3 KiB
   Installed artifact Xorg_xtrans              48.2 KiB
   Installed artifact mtdev                    79.6 KiB
   Installed artifact libvorbis                271.0 KiB
   Installed artifact Libffi                   44.2 KiB
   Installed artifact Opus                     960.9 KiB
   Installed artifact Qt6Svg                   386.4 KiB
   Installed artifact Vulkan_Loader            177.3 KiB
   Installed artifact Graphite2                120.2 KiB
   Installed artifact Xorg_xcb_util_wm         147.9 KiB
   Installed artifact Xorg_libXdmcp            67.7 KiB
   Installed artifact libdrm                   368.0 KiB
   Installed artifact libpng                   329.4 KiB
   Installed artifact Xorg_xkeyboard_config    545.0 KiB
   Installed artifact Xorg_libICE              384.9 KiB
   Installed artifact Xorg_xcb_util_image      54.3 KiB
   Installed artifact libaom                   6.4 MiB
   Installed artifact Pango                    2.1 MiB
   Installed artifact eudev                    3.9 MiB
   Installed artifact Libtiff                  2.3 MiB
   Installed artifact x265                     1.4 MiB
   Installed artifact Xorg_xcb_util_keysyms    17.8 KiB
   Installed artifact Xorg_libXcursor          227.1 KiB
   Installed artifact JpegTurbo                1.4 MiB
   Installed artifact Xorg_xcb_util_cursor     27.6 KiB
   Installed artifact Libglvnd                 833.5 KiB
   Installed artifact Xorg_xcb_util_renderutil 32.1 KiB
   Installed artifact GettextRuntime           543.0 KiB
   Installed artifact Xorg_libxcb              2.1 MiB
   Installed artifact xkbcommon                298.7 KiB
   Installed artifact Xorg_libXi               1.6 MiB
   Installed artifact libevdev                 117.1 KiB
   Installed artifact MbedTLS                  2.2 MiB
   Installed artifact GLFW                     187.9 KiB
   Installed artifact Rmath                    121.9 KiB
   Installed artifact GR                       19.0 MiB
   Installed artifact HarfBuzz                 1.7 MiB
   Installed artifact Xorg_libXrandr           97.3 KiB
   Installed artifact FreeType2                1.5 MiB
   Installed artifact libva                    235.7 KiB
   Installed artifact libinput                 1.0 MiB
   Installed artifact Xorg_libxkbfile          91.1 KiB
   Installed artifact Xorg_libXinerama         25.5 KiB
   Installed artifact Xorg_xkbcomp             274.8 KiB
   Installed artifact libfdk_aac               2.8 MiB
   Installed artifact libdecor                 44.1 KiB
   Installed artifact Xorg_libX11              4.8 MiB
   Installed artifact FriBidi                  78.9 KiB
   Installed artifact Xorg_libXext             286.6 KiB
   Installed artifact Dbus                     489.8 KiB
   Installed artifact x264                     2.1 MiB
   Installed artifact libass                   427.8 KiB
   Installed artifact LLVMOpenMP               661.6 KiB
   Installed artifact XZ                       1.6 MiB
   Installed artifact LERC                     267.4 KiB
   Installed artifact Pixman                   390.8 KiB
   Installed artifact Xorg_libpciaccess        26.2 KiB
   Installed artifact Expat                    287.9 KiB
   Installed artifact Fontconfig               984.8 KiB
   Installed artifact Xorg_xcb_util            39.5 KiB
   Installed artifact Xorg_libXrender          435.9 KiB
   Installed artifact fzf                      3.3 MiB
   Installed artifact Xorg_libXfixes           59.0 KiB
   Installed artifact Qt6ShaderTools           2.1 MiB
   Installed artifact OpenSpecFun              194.9 KiB
   Installed artifact Bzip2                    503.5 KiB
   Installed artifact Xorg_libSM               164.1 KiB
   Installed artifact Wayland                  390.6 KiB
   Installed artifact Cairo                    2.2 MiB
   Installed artifact Xorg_libXau              36.6 KiB
   Installed artifact FFMPEG                   11.9 MiB
   Installed artifact LAME                     292.5 KiB
   Installed artifact Ghostscript              31.4 MiB
   Installed artifact Qt6Wayland               1.4 MiB
   Installed artifact Libuuid                  3.9 MiB
   Installed artifact Libiconv                 1.9 MiB
   Installed artifact Qt6Base                  23.1 MiB
   Installed artifact Glib                     7.7 MiB
   Installed artifact Libmount                 6.9 MiB
   Installed artifact Qt6Declarative           23.8 MiB
    Updating `~/.julia/environments/v1.14/Project.toml`
  [d7968580] + DalitzPlot v0.4.2
    Updating `~/.julia/environments/v1.14/Manifest.toml`
  [66dad0bd] + AliasTables v1.1.3
  [d1d4a3ce] + BitFlags v0.1.9
  [944b1d66] + CodecZlib v0.7.8
  [35d6a980] + ColorSchemes v3.31.0
⌅ [3da002f7] + ColorTypes v0.11.5
⌃ [c3611d14] + ColorVectorSpace v0.10.0
⌅ [5ae59095] + Colors v0.12.11
  [34da2185] + Compat v4.18.1
  [a81c6b42] + Compose v0.9.6
  [f0e56b4a] + ConcurrentUtilities v2.5.1
  [187b0558] + ConstructionBase v1.6.0
  [d38c429a] + Contour v0.6.3
  [d7968580] + DalitzPlot v0.4.2
  [9a962f9c] + DataAPI v1.16.0
⌅ [864edb3b] + DataStructures v0.18.22
  [e2d170a0] + DataValueInterfaces v1.0.0
  [8bb1440f] + DelimitedFiles v1.9.1
  [31c24e10] + Distributions v0.25.125
  [ffbed154] + DocStringExtensions v0.9.5
  [460bff9d] + ExceptionUnwrapping v0.1.11
  [c87230d0] + FFMPEG v0.4.5
  [442a2c76] + FastGaussQuadrature v1.2.0
  [5789e2e9] + FileIO v1.19.0
  [1a297f60] + FillArrays v1.16.0
  [53c48c17] + FixedPointNumbers v0.8.5
  [1fa38f19] + Format v1.3.7
  [28b8d3ca] + GR v0.73.24
  [42e2da0e] + Grisu v1.0.2
  [cd3eb016] + HTTP v1.11.0
  [f0d1745a] + HalfIntegers v1.6.0
  [076d061b] + HashArrayMappedTries v0.2.0
  [34004b35] + HypergeometricFunctions v0.3.28
  [92d709cd] + IrrationalConstants v0.2.6
  [c8e1da08] + IterTools v1.10.0
  [82899510] + IteratorInterfaceExtensions v1.0.0
⌅ [033835bb] + JLD2 v0.5.15
  [1019f520] + JLFzf v0.1.11
  [692b3bcd] + JLLWrappers v1.8.0
⌅ [682c06a0] + JSON v0.21.4
  [b964fa9f] + LaTeXStrings v1.4.0
  [23fbe1c1] + Latexify v0.16.10
  [2ab3a3ac] + LogExpFunctions v0.3.29
  [e6f89c97] + LoggingExtras v1.2.0
  [1914dd2f] + MacroTools v0.5.16
  [739be429] + MbedTLS v1.1.10
  [442fdcdd] + Measures v0.3.3
  [e1d29d7a] + Missings v1.2.0
  [77ba4419] + NaNMath v1.1.3
  [6fe1bfb0] + OffsetArrays v1.17.0
  [4d8831e6] + OpenSSL v1.6.1
  [bac558e1] + OrderedCollections v1.8.1
  [90014a1f] + PDMats v0.11.37
  [69de0a69] + Parsers v2.8.4
  [ccf2f8ad] + PlotThemes v3.3.0
  [995b91a9] + PlotUtils v1.4.4
  [91a5bcdd] + Plots v1.41.6
  [aea7be01] + PrecompileTools v1.3.3
  [21216c6a] + Preferences v1.5.2
  [49802e3a] + ProgressBars v1.5.1
  [92933f4c] + ProgressMeter v1.11.0
  [43287f4e] + PtrArrays v1.4.0
  [1fd47b50] + QuadGK v2.11.3
  [3cdcf5f2] + RecipesBase v1.3.4
  [01d81517] + RecipesPipeline v0.6.12
  [189a3867] + Reexport v1.2.2
  [05181044] + RelocatableFolders v1.0.1
  [ae029012] + Requires v1.3.1
  [79098fc4] + Rmath v0.9.0
  [7e506255] + ScopedValues v1.6.2
  [6c6a2e73] + Scratch v1.3.0
  [992d4aef] + Showoff v1.0.3
  [777ac1f9] + SimpleBufferStream v1.2.0
  [a2af1166] + SortingAlgorithms v1.2.2
  [276daf66] + SpecialFunctions v2.7.2
  [860ef19b] + StableRNGs v1.0.4
  [90137ffa] + StaticArrays v1.9.18
  [1e83bf80] + StaticArraysCore v1.4.4
  [10745b16] + Statistics v1.11.1
  [82ae8749] + StatsAPI v1.8.0
  [2913bbd2] + StatsBase v0.34.10
  [4c63d2b9] + StatsFuns v1.5.2
⌅ [09ab397b] + StructArrays v0.6.21
  [3783bdb8] + TableTraits v1.0.1
  [bd369af6] + Tables v1.12.1
  [ed4db957] + TaskLocalValues v0.1.3
  [62fd8b95] + TensorCore v0.1.1
  [3bb67fe8] + TranscodingStreams v0.11.3
  [5c2747f8] + URIs v1.6.1
  [1cfade01] + UnicodeFun v0.4.1
  [41fe7b60] + Unzip v0.2.0
  [87c4ff3e] + WignerD v0.1.4
  [6e34b625] + Bzip2_jll v1.0.9+0
  [83423d85] + Cairo_jll v1.18.7+0
  [ee1fde0b] + Dbus_jll v1.16.2+0
  [2702e6a9] + EpollShim_jll v0.0.20230411+1
  [2e619515] + Expat_jll v2.8.0+0
  [b22a6f82] + FFMPEG_jll v8.1.0+0
  [a3f928ae] + Fontconfig_jll v2.17.1+0
  [d7e528f0] + FreeType2_jll v2.14.3+1
  [559328eb] + FriBidi_jll v1.0.17+0
  [0656b61e] + GLFW_jll v3.4.1+1
  [d2c73de3] + GR_jll v0.73.24+0
⌅ [b0724c58] + GettextRuntime_jll v0.22.4+0
  [61579ee1] + Ghostscript_jll v9.55.1+0
  [7746bdde] + Glib_jll v2.86.3+0
  [3b182d85] + Graphite2_jll v1.3.15+0
  [2e76f6c2] + HarfBuzz_jll v8.5.1+0
  [aacddb02] + JpegTurbo_jll v3.1.5+0
  [c1c5ebd0] + LAME_jll v3.100.3+0
  [88015f11] + LERC_jll v4.1.0+0
  [1d63c593] + LLVMOpenMP_jll v18.1.8+0
⌅ [e9f186c6] + Libffi_jll v3.4.7+0
  [7e76a0d4] + Libglvnd_jll v1.7.1+1
  [94ce4f54] + Libiconv_jll v1.18.0+0
  [4b2f31a3] + Libmount_jll v2.42.0+0
  [89763e89] + Libtiff_jll v4.7.2+0
  [38a345b3] + Libuuid_jll v2.42.0+0
  [c8ffd9c3] + MbedTLS_jll v2.28.1010+0
  [e7412a2a] + Ogg_jll v1.3.6+0
  [efe28fd5] + OpenSpecFun_jll v0.5.6+0
  [91d4177d] + Opus_jll v1.6.1+0
  [36c8627f] + Pango_jll v1.57.1+0
  [30392449] + Pixman_jll v0.46.4+0
  [c0090381] + Qt6Base_jll v6.10.2+2
  [629bc702] + Qt6Declarative_jll v6.10.2+1
  [ce943373] + Qt6ShaderTools_jll v6.10.2+1
  [6de9746b] + Qt6Svg_jll v6.10.2+0
  [e99dba38] + Qt6Wayland_jll v6.10.2+1
  [f50d1b31] + Rmath_jll v0.5.1+0
  [a44049a8] + Vulkan_Loader_jll v1.3.243+0
  [a2964d1f] + Wayland_jll v1.24.0+0
  [ffd25f8a] + XZ_jll v5.8.3+0
  [f67eecfb] + Xorg_libICE_jll v1.1.2+0
  [c834827a] + Xorg_libSM_jll v1.2.6+0
  [4f6342f7] + Xorg_libX11_jll v1.8.13+0
  [0c0b7dd1] + Xorg_libXau_jll v1.0.13+0
  [935fb764] + Xorg_libXcursor_jll v1.2.4+0
  [a3789734] + Xorg_libXdmcp_jll v1.1.6+0
  [1082639a] + Xorg_libXext_jll v1.3.8+0
  [d091e8ba] + Xorg_libXfixes_jll v6.0.2+0
  [a51aa0fd] + Xorg_libXi_jll v1.8.3+0
  [d1454406] + Xorg_libXinerama_jll v1.1.7+0
  [ec84b674] + Xorg_libXrandr_jll v1.5.6+0
  [ea2f1a96] + Xorg_libXrender_jll v0.9.12+0
  [a65dc6b1] + Xorg_libpciaccess_jll v0.19.0+0
  [c7cfdc94] + Xorg_libxcb_jll v1.17.1+0
  [cc61e674] + Xorg_libxkbfile_jll v1.2.0+0
  [e920d4aa] + Xorg_xcb_util_cursor_jll v0.1.6+0
  [12413925] + Xorg_xcb_util_image_jll v0.4.1+0
  [2def613f] + Xorg_xcb_util_jll v0.4.1+0
  [975044d2] + Xorg_xcb_util_keysyms_jll v0.4.1+0
  [0d47668e] + Xorg_xcb_util_renderutil_jll v0.3.10+0
  [c22f9ab0] + Xorg_xcb_util_wm_jll v0.4.2+0
  [35661453] + Xorg_xkbcomp_jll v1.4.7+0
  [33bec58e] + Xorg_xkeyboard_config_jll v2.47.0+0
  [c5fb5394] + Xorg_xtrans_jll v1.6.0+0
  [35ca27e7] + eudev_jll v3.2.14+0
  [214eeab7] + fzf_jll v0.61.1+0
  [a4ae2306] + libaom_jll v3.13.3+0
  [0ac62f75] + libass_jll v0.17.4+0
  [1183f4f0] + libdecor_jll v0.2.2+0
  [8e53e030] + libdrm_jll v2.4.125+1
  [2db6ffa8] + libevdev_jll v1.13.4+0
  [f638f0a6] + libfdk_aac_jll v2.0.4+0
  [36db933b] + libinput_jll v1.28.1+0
  [b53b4c65] + libpng_jll v1.6.58+0
  [9a156e7d] + libva_jll v2.23.0+0
  [f27f6e37] + libvorbis_jll v1.3.8+0
  [009596ad] + mtdev_jll v1.1.7+0
⌅ [1270edf5] + x264_jll v10164.0.1+0
  [dfaa095f] + x265_jll v4.1.0+0
  [d8fb68d0] + xkbcommon_jll v1.13.0+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 v1.7.0
  [7b1f6079] + FileWatching v1.11.0
  [b77e0a4c] + InteractiveUtils v1.11.0
  [ac6e5ff7] + JuliaSyntaxHighlighting v1.13.0
  [b27032c2] + LibCURL v1.0.0
  [76f85450] + LibGit2 v1.11.0
  [8f399da3] + Libdl v1.11.0
  [37e2e46d] + LinearAlgebra v1.13.0
  [56ddb016] + Logging v1.11.0
  [d6f4376e] + Markdown v1.11.0
  [a63ad114] + Mmap v1.11.0
  [ca575930] + NetworkOptions v1.3.0
  [44cfe95a] + Pkg v1.14.0
  [de0858da] + Printf v1.11.0
  [3fa0cd96] + REPL v1.11.0
  [9a3f8284] + Random v1.11.0
  [ea8e919c] + SHA v1.0.0
  [9e88b42a] + Serialization v1.11.0
  [1a1011a3] + SharedArrays v1.11.0
  [6462fe0b] + Sockets v1.11.0
  [2f01184e] + SparseArrays v1.13.0
  [f489334b] + StyledStrings v1.13.0
  [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 v1.5.1+0
  [deac9b47] + LibCURL_jll v8.20.0+1
  [e37daf67] + LibGit2_jll v1.9.3+0
  [29816b5a] + LibSSH2_jll v1.11.101+0
  [14a3606d] + MozillaCACerts_jll v2026.3.19
  [4536629a] + OpenBLAS_jll v0.3.33+0
  [05823500] + OpenLibm_jll v0.8.7+0
  [458c3c95] + OpenSSL_jll v3.5.6+0
  [efcefdf7] + PCRE2_jll v10.47.0+0
  [bea87d4a] + SuiteSparse_jll v7.10.1+0
  [83775a58] + Zlib_jll v1.3.2+0
  [3161d3a3] + Zstd_jll v1.5.7+1
  [8e850b90] + libblastrampoline_jll v5.15.0+0
  [8e850ede] + nghttp2_jll v1.69.0+0
  [3f19e933] + p7zip_jll v17.8.0+0
        Info Packages marked with ⌃ and ⌅ have new versions available. Those with ⌃ may be upgradable, but those with ⌅ are restricted by compatibility constraints from upgrading. To see why use `status --outdated -m`

Installation completed after 38.44s


################################################################################
# Precompilation
#

Precompiling PkgEval dependencies...
Precompiling project...
   4.9 s  ✓ TestEnv
  1 dependency successfully precompiled in 5 seconds. 27 already precompiled.

Precompiling package dependencies...
Precompiling project...
   4.3 s  ✓ MacroTools
   0.9 s  ✓ Reexport
   1.0 s  ✓ TensorCore
   1.3 s  ✓ ConstructionBase
   2.2 s  ✓ IrrationalConstants
   1.0 s  ✓ Measures
   0.9 s  ✓ DataValueInterfaces
   1.0 s  ✓ StatsAPI
   2.4 s  ✓ Format
   1.2 s  ✓ IterTools
   1.0 s  ✓ Contour
   1.5 s  ✓ TranscodingStreams
   0.9 s  ✓ LaTeXStrings
   1.2 s  ✓ Statistics
   1.1 s  ✓ StaticArraysCore
   1.1 s  ✓ StableRNGs
   0.9 s  ✓ PtrArrays
   0.9 s  ✓ SimpleBufferStream
   0.9 s  ✓ TaskLocalValues
   1.1 s  ✓ HalfIntegers
   1.3 s  ✓ Grisu
   1.0 s  ✓ DataAPI
   1.4 s  ✓ URIs
   1.0 s  ✓ BitFlags
   2.3 s  ✓ FillArrays
   1.5 s  ✓ OrderedCollections
   1.1 s  ✓ HashArrayMappedTries
   1.1 s  ✓ DocStringExtensions
   1.2 s  ✓ Unzip
   1.7 s  ✓ OffsetArrays
   0.9 s  ✓ IteratorInterfaceExtensions
   1.1 s  ✓ DelimitedFiles
   1.2 s  ✓ NaNMath
   1.3 s  ✓ Requires
   1.9 s  ✓ ConcurrentUtilities
   1.5 s  ✓ ProgressBars
   2.5 s  ✓ ProgressMeter
   1.3 s  ✓ Scratch
   1.6 s  ✓ LoggingExtras
   2.4 s  ✓ PDMats
   1.1 s  ✓ Compat
   1.5 s  ✓ Preferences
   1.8 s  ✓ ExceptionUnwrapping
   3.9 s  ✓ UnicodeFun
   1.0 s  ✓ ConstructionBase → ConstructionBaseLinearAlgebraExt
   1.1 s  ✓ CodecZlib
   1.6 s  ✓ Statistics → SparseArraysExt
   4.5 s  ✓ FixedPointNumbers
   1.1 s  ✓ AliasTables
   1.4 s  ✓ Showoff
   1.0 s  ✓ Missings
   4.5 s  ✓ OpenSSL
   1.9 s  ✓ FillArrays → FillArraysSparseArraysExt
   1.3 s  ✓ FillArrays → FillArraysStatisticsExt
   1.1 s  ✓ ScopedValues
   1.7 s  ✓ LogExpFunctions
   0.9 s  ✓ TableTraits
   8.9 s  ✓ FileIO
   1.6 s  ✓ RelocatableFolders
   1.7 s  ✓ FillArrays → FillArraysPDMatsExt
   0.9 s  ✓ Compat → CompatLinearAlgebraExt
   1.3 s  ✓ PrecompileTools
   2.3 s  ✓ JLLWrappers
   4.5 s  ✓ ColorTypes
   2.0 s  ✓ Tables
   3.9 s  ✓ DataStructures
  14.3 s  ✓ StaticArrays
   3.6 s  ✓ RecipesBase
  17.0 s  ✓ Parsers
  49.5 s  ✓ JLD2
   2.4 s  ✓ Libffi_jll
   2.3 s  ✓ Xorg_libICE_jll
   2.4 s  ✓ eudev_jll
   2.4 s  ✓ mtdev_jll
   2.4 s  ✓ Bzip2_jll
   2.9 s  ✓ XZ_jll
   2.4 s  ✓ Rmath_jll
   2.4 s  ✓ OpenSpecFun_jll
   1.7 s  ✓ Xorg_xtrans_jll
   2.4 s  ✓ Opus_jll
   2.4 s  ✓ x265_jll
   2.4 s  ✓ fzf_jll
   2.5 s  ✓ libpng_jll
   1.7 s  ✓ EpollShim_jll
   2.4 s  ✓ Libmount_jll
   2.4 s  ✓ libfdk_aac_jll
   2.4 s  ✓ Libuuid_jll
   2.4 s  ✓ FriBidi_jll
   2.4 s  ✓ LERC_jll
   2.4 s  ✓ Xorg_libXau_jll
   2.4 s  ✓ Ogg_jll
   2.5 s  ✓ libevdev_jll
   2.5 s  ✓ LAME_jll
   2.4 s  ✓ Graphite2_jll
   2.5 s  ✓ x264_jll
   2.4 s  ✓ Xorg_libpciaccess_jll
   2.5 s  ✓ LLVMOpenMP_jll
   2.3 s  ✓ Libiconv_jll
   2.4 s  ✓ MbedTLS_jll
   2.3 s  ✓ libaom_jll
   2.3 s  ✓ Xorg_libXdmcp_jll
   2.4 s  ✓ Expat_jll
   2.4 s  ✓ JpegTurbo_jll
   7.8 s  ✓ Colors
   4.2 s  ✓ ColorVectorSpace
   1.7 s  ✓ StructArrays
   1.7 s  ✓ SortingAlgorithms
   2.9 s  ✓ QuadGK
   1.8 s  ✓ StaticArrays → StaticArraysStatisticsExt
   1.8 s  ✓ ConstructionBase → ConstructionBaseStaticArraysExt
   2.0 s  ✓ FillArrays → FillArraysStaticArraysExt
   4.0 s  ✓ JSON
   2.4 s  ✓ Xorg_libSM_jll
   2.3 s  ✓ FreeType2_jll
   2.0 s  ✓ Rmath
   5.6 s  ✓ SpecialFunctions
   2.9 s  ✓ JLFzf
   2.4 s  ✓ libvorbis_jll
   2.5 s  ✓ libinput_jll
   2.3 s  ✓ libdrm_jll
   2.3 s  ✓ Pixman_jll
   2.4 s  ✓ GettextRuntime_jll
   2.7 s  ✓ MbedTLS
   2.8 s  ✓ Xorg_libxcb_jll
   2.3 s  ✓ Dbus_jll
   2.7 s  ✓ Wayland_jll
   2.8 s  ✓ Ghostscript_jll
   2.6 s  ✓ Libtiff_jll
  10.3 s  ✓ ColorSchemes
   1.6 s  ✓ StructArrays → StructArraysSparseArraysExt
   1.0 s  ✓ StructArrays → StructArraysLinearAlgebraExt
   2.0 s  ✓ StructArrays → StructArraysStaticArraysExt
   5.3 s  ✓ StatsBase
   7.3 s  ✓ Compose
   2.5 s  ✓ Fontconfig_jll
   5.4 s  ✓ FastGaussQuadrature
   2.7 s  ✓ HypergeometricFunctions
   1.8 s  ✓ ColorVectorSpace → SpecialFunctionsExt
   2.4 s  ✓ Glib_jll
  25.5 s  ✓ HTTP
   2.4 s  ✓ Xorg_xcb_util_jll
   2.4 s  ✓ Xorg_libX11_jll
   7.2 s  ✓ Latexify
  20.9 s  ✓ PlotUtils
   1.5 s  ✓ WignerD
   2.1 s  ✓ PDMats → StatsBaseExt
   3.0 s  ✓ StatsFuns
   6.5 s  ✓ FileIO → HTTPExt
   2.3 s  ✓ Xorg_xcb_util_renderutil_jll
   2.3 s  ✓ Xorg_xcb_util_wm_jll
   2.4 s  ✓ Xorg_xcb_util_image_jll
   2.8 s  ✓ Xorg_xcb_util_keysyms_jll
   2.5 s  ✓ Xorg_libXfixes_jll
   2.5 s  ✓ Xorg_libXrender_jll
   2.5 s  ✓ Xorg_libXext_jll
   1.7 s  ✓ Xorg_libxkbfile_jll
   2.5 s  ✓ Latexify → SparseArraysExt
  10.0 s  ✓ PlotThemes
   9.3 s  ✓ RecipesPipeline
  10.4 s  ✓ Distributions
   2.5 s  ✓ Xorg_xcb_util_cursor_jll
   2.5 s  ✓ Xorg_libXcursor_jll
   2.6 s  ✓ Xorg_libXrandr_jll
   2.6 s  ✓ Xorg_libXinerama_jll
   2.6 s  ✓ Xorg_libXi_jll
   2.6 s  ✓ Cairo_jll
   2.6 s  ✓ libva_jll
   2.6 s  ✓ Libglvnd_jll
   2.6 s  ✓ Xorg_xkbcomp_jll
   4.3 s  ✓ Distributions → DistributionsTestExt
   2.6 s  ✓ HarfBuzz_jll
   1.9 s  ✓ Xorg_xkeyboard_config_jll
   2.8 s  ✓ libass_jll
   2.5 s  ✓ Pango_jll
   2.5 s  ✓ xkbcommon_jll
   2.6 s  ✓ FFMPEG_jll
   2.5 s  ✓ Vulkan_Loader_jll
   2.5 s  ✓ libdecor_jll
   1.5 s  ✓ FFMPEG
   2.6 s  ✓ Qt6Base_jll
   2.5 s  ✓ GLFW_jll
   2.6 s  ✓ Qt6ShaderTools_jll
   2.5 s  ✓ Qt6Svg_jll
   2.6 s  ✓ GR_jll
   2.7 s  ✓ Qt6Declarative_jll
   2.6 s  ✓ Qt6Wayland_jll
   7.0 s  ✓ GR
 105.4 s  ✓ Plots
  18.6 s  ✓ Plots → FileIOExt
  29.9 s  ✓ DalitzPlot
  190 dependencies successfully precompiled in 741 seconds. 39 already precompiled.

Precompilation completed after 761.41s


################################################################################
# Testing
#

     Testing DalitzPlot
┌ Warning: could not download https://pkg.julialang.org/registries
│   exception = RequestError: Could not resolve host: pkg.julialang.org while requesting https://pkg.julialang.org/registries
└ @ Pkg.Registry /opt/julia/share/julia/stdlib/v1.14/Pkg/src/Registry/Registry.jl:121
      Status `/tmp/jl_TnBbEo/Project.toml`
⌅ [5ae59095] Colors v0.12.11
  [a81c6b42] Compose v0.9.6
  [d7968580] DalitzPlot v0.4.2
  [8bb1440f] DelimitedFiles v1.9.1
  [31c24e10] Distributions v0.25.125
  [442a2c76] FastGaussQuadrature v1.2.0
⌅ [033835bb] JLD2 v0.5.15
  [b964fa9f] LaTeXStrings v1.4.0
  [91a5bcdd] Plots v1.41.6
  [49802e3a] ProgressBars v1.5.1
  [92933f4c] ProgressMeter v1.11.0
  [90137ffa] StaticArrays v1.9.18
  [10745b16] Statistics v1.11.1
  [87c4ff3e] WignerD v0.1.4
  [ade2ca70] Dates v1.11.0
  [8ba89e20] Distributed v1.11.0
  [37e2e46d] LinearAlgebra v1.13.0
  [a63ad114] Mmap v1.11.0
  [de0858da] Printf v1.11.0
  [1a1011a3] SharedArrays v1.11.0
  [8dfed614] Test v1.11.0
      Status `/tmp/jl_TnBbEo/Manifest.toml`
  [66dad0bd] AliasTables v1.1.3
  [d1d4a3ce] BitFlags v0.1.9
  [944b1d66] CodecZlib v0.7.8
  [35d6a980] ColorSchemes v3.31.0
⌅ [3da002f7] ColorTypes v0.11.5
⌃ [c3611d14] ColorVectorSpace v0.10.0
⌅ [5ae59095] Colors v0.12.11
  [34da2185] Compat v4.18.1
  [a81c6b42] Compose v0.9.6
  [f0e56b4a] ConcurrentUtilities v2.5.1
  [187b0558] ConstructionBase v1.6.0
  [d38c429a] Contour v0.6.3
  [d7968580] DalitzPlot v0.4.2
  [9a962f9c] DataAPI v1.16.0
⌅ [864edb3b] DataStructures v0.18.22
  [e2d170a0] DataValueInterfaces v1.0.0
  [8bb1440f] DelimitedFiles v1.9.1
  [31c24e10] Distributions v0.25.125
  [ffbed154] DocStringExtensions v0.9.5
  [460bff9d] ExceptionUnwrapping v0.1.11
  [c87230d0] FFMPEG v0.4.5
  [442a2c76] FastGaussQuadrature v1.2.0
  [5789e2e9] FileIO v1.19.0
  [1a297f60] FillArrays v1.16.0
  [53c48c17] FixedPointNumbers v0.8.5
  [1fa38f19] Format v1.3.7
  [28b8d3ca] GR v0.73.24
  [42e2da0e] Grisu v1.0.2
  [cd3eb016] HTTP v1.11.0
  [f0d1745a] HalfIntegers v1.6.0
  [076d061b] HashArrayMappedTries v0.2.0
  [34004b35] HypergeometricFunctions v0.3.28
  [92d709cd] IrrationalConstants v0.2.6
  [c8e1da08] IterTools v1.10.0
  [82899510] IteratorInterfaceExtensions v1.0.0
⌅ [033835bb] JLD2 v0.5.15
  [1019f520] JLFzf v0.1.11
  [692b3bcd] JLLWrappers v1.8.0
⌅ [682c06a0] JSON v0.21.4
  [b964fa9f] LaTeXStrings v1.4.0
  [23fbe1c1] Latexify v0.16.10
  [2ab3a3ac] LogExpFunctions v0.3.29
  [e6f89c97] LoggingExtras v1.2.0
  [1914dd2f] MacroTools v0.5.16
  [739be429] MbedTLS v1.1.10
  [442fdcdd] Measures v0.3.3
  [e1d29d7a] Missings v1.2.0
  [77ba4419] NaNMath v1.1.3
  [6fe1bfb0] OffsetArrays v1.17.0
  [4d8831e6] OpenSSL v1.6.1
  [bac558e1] OrderedCollections v1.8.1
  [90014a1f] PDMats v0.11.37
  [69de0a69] Parsers v2.8.4
  [ccf2f8ad] PlotThemes v3.3.0
  [995b91a9] PlotUtils v1.4.4
  [91a5bcdd] Plots v1.41.6
  [aea7be01] PrecompileTools v1.3.3
  [21216c6a] Preferences v1.5.2
  [49802e3a] ProgressBars v1.5.1
  [92933f4c] ProgressMeter v1.11.0
  [43287f4e] PtrArrays v1.4.0
  [1fd47b50] QuadGK v2.11.3
  [3cdcf5f2] RecipesBase v1.3.4
  [01d81517] RecipesPipeline v0.6.12
  [189a3867] Reexport v1.2.2
  [05181044] RelocatableFolders v1.0.1
  [ae029012] Requires v1.3.1
  [79098fc4] Rmath v0.9.0
  [7e506255] ScopedValues v1.6.2
  [6c6a2e73] Scratch v1.3.0
  [992d4aef] Showoff v1.0.3
  [777ac1f9] SimpleBufferStream v1.2.0
  [a2af1166] SortingAlgorithms v1.2.2
  [276daf66] SpecialFunctions v2.7.2
  [860ef19b] StableRNGs v1.0.4
  [90137ffa] StaticArrays v1.9.18
  [1e83bf80] StaticArraysCore v1.4.4
  [10745b16] Statistics v1.11.1
  [82ae8749] StatsAPI v1.8.0
  [2913bbd2] StatsBase v0.34.10
  [4c63d2b9] StatsFuns v1.5.2
⌅ [09ab397b] StructArrays v0.6.21
  [3783bdb8] TableTraits v1.0.1
  [bd369af6] Tables v1.12.1
  [ed4db957] TaskLocalValues v0.1.3
  [62fd8b95] TensorCore v0.1.1
  [3bb67fe8] TranscodingStreams v0.11.3
  [5c2747f8] URIs v1.6.1
  [1cfade01] UnicodeFun v0.4.1
  [41fe7b60] Unzip v0.2.0
  [87c4ff3e] WignerD v0.1.4
  [6e34b625] Bzip2_jll v1.0.9+0
  [83423d85] Cairo_jll v1.18.7+0
  [ee1fde0b] Dbus_jll v1.16.2+0
  [2702e6a9] EpollShim_jll v0.0.20230411+1
  [2e619515] Expat_jll v2.8.0+0
  [b22a6f82] FFMPEG_jll v8.1.0+0
  [a3f928ae] Fontconfig_jll v2.17.1+0
  [d7e528f0] FreeType2_jll v2.14.3+1
  [559328eb] FriBidi_jll v1.0.17+0
  [0656b61e] GLFW_jll v3.4.1+1
  [d2c73de3] GR_jll v0.73.24+0
⌅ [b0724c58] GettextRuntime_jll v0.22.4+0
  [61579ee1] Ghostscript_jll v9.55.1+0
  [7746bdde] Glib_jll v2.86.3+0
  [3b182d85] Graphite2_jll v1.3.15+0
  [2e76f6c2] HarfBuzz_jll v8.5.1+0
  [aacddb02] JpegTurbo_jll v3.1.5+0
  [c1c5ebd0] LAME_jll v3.100.3+0
  [88015f11] LERC_jll v4.1.0+0
  [1d63c593] LLVMOpenMP_jll v18.1.8+0
⌅ [e9f186c6] Libffi_jll v3.4.7+0
  [7e76a0d4] Libglvnd_jll v1.7.1+1
  [94ce4f54] Libiconv_jll v1.18.0+0
  [4b2f31a3] Libmount_jll v2.42.0+0
  [89763e89] Libtiff_jll v4.7.2+0
  [38a345b3] Libuuid_jll v2.42.0+0
  [c8ffd9c3] MbedTLS_jll v2.28.1010+0
  [e7412a2a] Ogg_jll v1.3.6+0
  [efe28fd5] OpenSpecFun_jll v0.5.6+0
  [91d4177d] Opus_jll v1.6.1+0
  [36c8627f] Pango_jll v1.57.1+0
  [30392449] Pixman_jll v0.46.4+0
  [c0090381] Qt6Base_jll v6.10.2+2
  [629bc702] Qt6Declarative_jll v6.10.2+1
  [ce943373] Qt6ShaderTools_jll v6.10.2+1
  [6de9746b] Qt6Svg_jll v6.10.2+0
  [e99dba38] Qt6Wayland_jll v6.10.2+1
  [f50d1b31] Rmath_jll v0.5.1+0
  [a44049a8] Vulkan_Loader_jll v1.3.243+0
  [a2964d1f] Wayland_jll v1.24.0+0
  [ffd25f8a] XZ_jll v5.8.3+0
  [f67eecfb] Xorg_libICE_jll v1.1.2+0
  [c834827a] Xorg_libSM_jll v1.2.6+0
  [4f6342f7] Xorg_libX11_jll v1.8.13+0
  [0c0b7dd1] Xorg_libXau_jll v1.0.13+0
  [935fb764] Xorg_libXcursor_jll v1.2.4+0
  [a3789734] Xorg_libXdmcp_jll v1.1.6+0
  [1082639a] Xorg_libXext_jll v1.3.8+0
  [d091e8ba] Xorg_libXfixes_jll v6.0.2+0
  [a51aa0fd] Xorg_libXi_jll v1.8.3+0
  [d1454406] Xorg_libXinerama_jll v1.1.7+0
  [ec84b674] Xorg_libXrandr_jll v1.5.6+0
  [ea2f1a96] Xorg_libXrender_jll v0.9.12+0
  [a65dc6b1] Xorg_libpciaccess_jll v0.19.0+0
  [c7cfdc94] Xorg_libxcb_jll v1.17.1+0
  [cc61e674] Xorg_libxkbfile_jll v1.2.0+0
  [e920d4aa] Xorg_xcb_util_cursor_jll v0.1.6+0
  [12413925] Xorg_xcb_util_image_jll v0.4.1+0
  [2def613f] Xorg_xcb_util_jll v0.4.1+0
  [975044d2] Xorg_xcb_util_keysyms_jll v0.4.1+0
  [0d47668e] Xorg_xcb_util_renderutil_jll v0.3.10+0
  [c22f9ab0] Xorg_xcb_util_wm_jll v0.4.2+0
  [35661453] Xorg_xkbcomp_jll v1.4.7+0
  [33bec58e] Xorg_xkeyboard_config_jll v2.47.0+0
  [c5fb5394] Xorg_xtrans_jll v1.6.0+0
  [35ca27e7] eudev_jll v3.2.14+0
  [214eeab7] fzf_jll v0.61.1+0
  [a4ae2306] libaom_jll v3.13.3+0
  [0ac62f75] libass_jll v0.17.4+0
  [1183f4f0] libdecor_jll v0.2.2+0
  [8e53e030] libdrm_jll v2.4.125+1
  [2db6ffa8] libevdev_jll v1.13.4+0
  [f638f0a6] libfdk_aac_jll v2.0.4+0
  [36db933b] libinput_jll v1.28.1+0
  [b53b4c65] libpng_jll v1.6.58+0
  [9a156e7d] libva_jll v2.23.0+0
  [f27f6e37] libvorbis_jll v1.3.8+0
  [009596ad] mtdev_jll v1.1.7+0
⌅ [1270edf5] x264_jll v10164.0.1+0
  [dfaa095f] x265_jll v4.1.0+0
  [d8fb68d0] xkbcommon_jll v1.13.0+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 v1.7.0
  [7b1f6079] FileWatching v1.11.0
  [b77e0a4c] InteractiveUtils v1.11.0
  [ac6e5ff7] JuliaSyntaxHighlighting v1.13.0
  [b27032c2] LibCURL v1.0.0
  [76f85450] LibGit2 v1.11.0
  [8f399da3] Libdl v1.11.0
  [37e2e46d] LinearAlgebra v1.13.0
  [56ddb016] Logging v1.11.0
  [d6f4376e] Markdown v1.11.0
  [a63ad114] Mmap v1.11.0
  [ca575930] NetworkOptions v1.3.0
  [44cfe95a] Pkg v1.14.0
  [de0858da] Printf v1.11.0
  [3fa0cd96] REPL v1.11.0
  [9a3f8284] Random v1.11.0
  [ea8e919c] SHA v1.0.0
  [9e88b42a] Serialization v1.11.0
  [1a1011a3] SharedArrays v1.11.0
  [6462fe0b] Sockets v1.11.0
  [2f01184e] SparseArrays v1.13.0
  [f489334b] StyledStrings v1.13.0
  [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 v1.5.1+0
  [deac9b47] LibCURL_jll v8.20.0+1
  [e37daf67] LibGit2_jll v1.9.3+0
  [29816b5a] LibSSH2_jll v1.11.101+0
  [14a3606d] MozillaCACerts_jll v2026.3.19
  [4536629a] OpenBLAS_jll v0.3.33+0
  [05823500] OpenLibm_jll v0.8.7+0
  [458c3c95] OpenSSL_jll v3.5.6+0
  [efcefdf7] PCRE2_jll v10.47.0+0
  [bea87d4a] SuiteSparse_jll v7.10.1+0
  [83775a58] Zlib_jll v1.3.2+0
  [3161d3a3] Zstd_jll v1.5.7+1
  [8e850b90] libblastrampoline_jll v5.15.0+0
  [8e850ede] nghttp2_jll v1.69.0+0
  [3f19e933] p7zip_jll v17.8.0+0
        Info Packages marked with ⌃ and ⌅ have new versions available. Those with ⌃ may be upgradable, but those with ⌅ are restricted by compatibility constraints from upgrading.
     Testing Running tests...

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75.9%┣███████████████████████████▍        ┫ 7.6M/10.0M [00:09<00:03, 870.4kit/s]

76.6%┣███████████████████████████▋        ┫ 7.7M/10.0M [00:09<00:03, 872.7kit/s]

77.2%┣███████████████████████████▉        ┫ 7.7M/10.0M [00:09<00:03, 874.8kit/s]

77.6%┣████████████████████████████        ┫ 7.8M/10.0M [00:09<00:03, 874.3kit/s]

78.3%┣████████████████████████████▏       ┫ 7.8M/10.0M [00:09<00:02, 876.7kit/s]

78.9%┣████████████████████████████▍       ┫ 7.9M/10.0M [00:09<00:02, 879.1kit/s]

79.6%┣████████████████████████████▋       ┫ 8.0M/10.0M [00:09<00:02, 881.3kit/s]

80.3%┣█████████████████████████████       ┫ 8.0M/10.0M [00:09<00:02, 883.8kit/s]

80.8%┣█████████████████████████████       ┫ 8.1M/10.0M [00:09<00:02, 884.9kit/s]

81.5%┣█████████████████████████████▍      ┫ 8.1M/10.0M [00:09<00:02, 887.3kit/s]

82.1%┣█████████████████████████████▌      ┫ 8.2M/10.0M [00:09<00:02, 888.8kit/s]

82.7%┣█████████████████████████████▊      ┫ 8.3M/10.0M [00:09<00:02, 890.6kit/s]

83.3%┣██████████████████████████████      ┫ 8.3M/10.0M [00:09<00:02, 892.5kit/s]

84.0%┣██████████████████████████████▎     ┫ 8.4M/10.0M [00:09<00:02, 895.1kit/s]

84.7%┣██████████████████████████████▌     ┫ 8.5M/10.0M [00:09<00:02, 897.2kit/s]

85.3%┣██████████████████████████████▊     ┫ 8.5M/10.0M [00:09<00:02, 899.2kit/s]

86.0%┣███████████████████████████████     ┫ 8.6M/10.0M [00:10<00:02, 901.8kit/s]

86.6%┣███████████████████████████████▏    ┫ 8.7M/10.0M [00:10<00:01, 902.6kit/s]

87.3%┣███████████████████████████████▍    ┫ 8.7M/10.0M [00:10<00:01, 904.9kit/s]

88.0%┣███████████████████████████████▋    ┫ 8.8M/10.0M [00:10<00:01, 907.4kit/s]

88.6%┣████████████████████████████████    ┫ 8.9M/10.0M [00:10<00:01, 909.4kit/s]

89.3%┣████████████████████████████████▏   ┫ 8.9M/10.0M [00:10<00:01, 911.8kit/s]

89.9%┣████████████████████████████████▍   ┫ 9.0M/10.0M [00:10<00:01, 913.6kit/s]

90.6%┣████████████████████████████████▋   ┫ 9.1M/10.0M [00:10<00:01, 915.7kit/s]

91.3%┣████████████████████████████████▉   ┫ 9.1M/10.0M [00:10<00:01, 918.0kit/s]

91.9%┣█████████████████████████████████   ┫ 9.2M/10.0M [00:10<00:01, 919.6kit/s]

92.6%┣█████████████████████████████████▎  ┫ 9.3M/10.0M [00:10<00:01, 921.6kit/s]

93.2%┣█████████████████████████████████▌  ┫ 9.3M/10.0M [00:10<00:01, 922.9kit/s]

93.8%┣█████████████████████████████████▊  ┫ 9.4M/10.0M [00:10<00:01, 924.6kit/s]

94.5%┣██████████████████████████████████  ┫ 9.4M/10.0M [00:10<00:01, 926.7kit/s]

95.1%┣██████████████████████████████████▎ ┫ 9.5M/10.0M [00:10<00:01, 928.3kit/s]

95.8%┣██████████████████████████████████▌ ┫ 9.6M/10.0M [00:10<00:00, 929.8kit/s]

96.5%┣██████████████████████████████████▊ ┫ 9.6M/10.0M [00:10<00:00, 932.1kit/s]

97.1%┣███████████████████████████████████ ┫ 9.7M/10.0M [00:10<00:00, 933.6kit/s]

97.7%┣███████████████████████████████████▏┫ 9.8M/10.0M [00:10<00:00, 935.2kit/s]

98.4%┣███████████████████████████████████▍┫ 9.8M/10.0M [00:11<00:00, 937.1kit/s]

99.0%┣███████████████████████████████████▋┫ 9.9M/10.0M [00:11<00:00, 938.4kit/s]

99.6%┣██████████████████████████████████▉┫ 10.0M/10.0M [00:11<00:00, 939.6kit/s]

100.0%┣██████████████████████████████████┫ 10.0M/10.0M [00:11<00:00, 940.3kit/s]
(Ecm, res.cs0 / (pi / 2.0)) = (20.0, [0.9999997918699872])

0.0%┣                                        ┫ 1/10.0M [00:01<Inf:Inf, InfGs/it]

0.1%┣                                      ┫ 10.2k/10.0M [00:01<23:00, 7.2kit/s]

0.2%┣                                     ┫ 18.2k/10.0M [00:01<13:18, 12.5kit/s]

0.3%┣                                     ┫ 25.7k/10.0M [00:02<09:44, 17.1kit/s]

0.3%┣▏                                    ┫ 33.2k/10.0M [00:02<07:48, 21.3kit/s]

0.4%┣▏                                    ┫ 40.7k/10.0M [00:02<06:33, 25.3kit/s]

0.5%┣▏                                    ┫ 48.3k/10.0M [00:02<05:42, 29.1kit/s]

0.6%┣▏                                    ┫ 55.9k/10.0M [00:02<05:04, 32.7kit/s]

0.6%┣▎                                    ┫ 63.5k/10.0M [00:02<04:36, 36.0kit/s]

0.7%┣▎                                    ┫ 70.7k/10.0M [00:02<04:14, 39.0kit/s]

0.7%┣▎                                    ┫ 72.4k/10.0M [00:02<04:28, 37.1kit/s]

0.8%┣▎                                    ┫ 82.8k/10.0M [00:02<04:00, 41.4kit/s]

0.9%┣▍                                    ┫ 92.9k/10.0M [00:02<03:39, 45.3kit/s]

1.0%┣▍                                   ┫ 102.8k/10.0M [00:02<03:23, 48.9kit/s]

1.1%┣▍                                   ┫ 110.6k/10.0M [00:02<03:12, 51.4kit/s]

1.2%┣▍                                   ┫ 118.2k/10.0M [00:02<03:04, 53.7kit/s]

1.3%┣▌                                   ┫ 125.7k/10.0M [00:02<02:57, 55.8kit/s]

1.3%┣▌                                   ┫ 133.2k/10.0M [00:02<02:51, 57.8kit/s]

1.4%┣▌                                   ┫ 140.6k/10.0M [00:02<02:45, 59.7kit/s]

1.5%┣▌                                   ┫ 147.2k/10.0M [00:03<02:52, 57.1kit/s]

1.6%┣▋                                   ┫ 158.0k/10.0M [00:03<02:44, 60.2kit/s]

1.7%┣▋                                   ┫ 168.8k/10.0M [00:03<02:36, 63.1kit/s]

1.8%┣▋                                   ┫ 178.3k/10.0M [00:03<02:30, 65.4kit/s]

1.9%┣▊                                   ┫ 186.3k/10.0M [00:03<02:26, 67.1kit/s]

1.9%┣▊                                   ┫ 192.2k/10.0M [00:03<02:27, 66.7kit/s]

1.9%┣▊                                   ┫ 195.0k/10.0M [00:03<02:27, 66.5kit/s]

2.0%┣▊                                   ┫ 202.6k/10.0M [00:03<02:24, 68.0kit/s]

2.1%┣▊                                   ┫ 210.4k/10.0M [00:03<02:21, 69.4kit/s]

2.2%┣▉                                   ┫ 218.1k/10.0M [00:03<02:18, 70.8kit/s]

2.2%┣▉                                   ┫ 223.1k/10.0M [00:04<02:47, 58.6kit/s]

2.3%┣▉                                   ┫ 233.4k/10.0M [00:04<02:41, 60.5kit/s]

2.4%┣▉                                   ┫ 244.8k/10.0M [00:04<02:36, 62.6kit/s]

2.6%┣█                                   ┫ 255.3k/10.0M [00:04<02:31, 64.5kit/s]

2.6%┣█                                   ┫ 263.1k/10.0M [00:04<02:28, 65.6kit/s]

2.7%┣█                                   ┫ 272.0k/10.0M [00:04<02:25, 67.0kit/s]

2.8%┣█                                   ┫ 280.7k/10.0M [00:04<02:22, 68.3kit/s]

2.9%┣█                                   ┫ 289.0k/10.0M [00:04<02:20, 69.4kit/s]

3.0%┣█                                   ┫ 297.1k/10.0M [00:04<02:18, 70.5kit/s]

3.0%┣█                                   ┫ 304.8k/10.0M [00:04<02:16, 71.5kit/s]

3.1%┣█▏                                  ┫ 311.9k/10.0M [00:04<02:14, 72.3kit/s]

3.2%┣█▏                                  ┫ 318.8k/10.0M [00:04<02:12, 73.1kit/s]

3.3%┣█▏                                  ┫ 325.7k/10.0M [00:04<02:11, 73.8kit/s]

3.3%┣█▏                                  ┫ 332.6k/10.0M [00:04<02:10, 74.5kit/s]

3.4%┣█▎                                  ┫ 340.8k/10.0M [00:05<02:08, 75.5kit/s]

3.5%┣█▎                                  ┫ 350.1k/10.0M [00:05<02:08, 75.4kit/s]

3.6%┣█▎                                  ┫ 360.9k/10.0M [00:05<02:05, 77.0kit/s]

3.7%┣█▍                                  ┫ 370.6k/10.0M [00:05<02:03, 78.2kit/s]

3.8%┣█▍                                  ┫ 381.0k/10.0M [00:05<02:01, 79.5kit/s]

3.9%┣█▍                                  ┫ 389.5k/10.0M [00:05<01:59, 80.5kit/s]

4.0%┣█▍                                  ┫ 397.1k/10.0M [00:05<01:58, 81.2kit/s]

4.0%┣█▌                                  ┫ 404.7k/10.0M [00:05<01:57, 81.9kit/s]

4.1%┣█▌                                  ┫ 411.8k/10.0M [00:05<01:56, 82.5kit/s]

4.2%┣█▌                                  ┫ 419.0k/10.0M [00:05<01:55, 83.1kit/s]

4.3%┣█▌                                  ┫ 426.3k/10.0M [00:05<01:54, 83.7kit/s]

4.3%┣█▋                                  ┫ 433.5k/10.0M [00:05<01:54, 84.3kit/s]

4.4%┣█▋                                  ┫ 437.4k/10.0M [00:05<01:54, 83.7kit/s]

4.5%┣█▋                                  ┫ 448.5k/10.0M [00:05<01:52, 85.0kit/s]

4.6%┣█▋                                  ┫ 458.1k/10.0M [00:05<01:51, 86.0kit/s]

4.7%┣█▊                                  ┫ 468.9k/10.0M [00:05<01:49, 87.2kit/s]

4.8%┣█▊                                  ┫ 477.0k/10.0M [00:05<01:48, 87.9kit/s]

4.8%┣█▊                                  ┫ 484.9k/10.0M [00:05<01:47, 88.6kit/s]

4.9%┣█▊                                  ┫ 492.7k/10.0M [00:06<01:47, 89.2kit/s]

5.0%┣█▉                                  ┫ 500.4k/10.0M [00:06<01:46, 89.7kit/s]

5.1%┣█▉                                  ┫ 507.9k/10.0M [00:06<01:45, 90.3kit/s]

5.1%┣█▉                                  ┫ 509.1k/10.0M [00:06<01:46, 89.7kit/s]

5.2%┣█▉                                  ┫ 520.0k/10.0M [00:06<01:44, 90.8kit/s]

5.3%┣██                                  ┫ 530.8k/10.0M [00:06<01:43, 91.9kit/s]

5.4%┣██                                  ┫ 541.6k/10.0M [00:06<01:42, 92.9kit/s]

5.5%┣██                                  ┫ 549.7k/10.0M [00:06<01:41, 93.5kit/s]

5.6%┣██                                  ┫ 557.3k/10.0M [00:06<01:40, 94.0kit/s]

5.7%┣██                                  ┫ 565.2k/10.0M [00:06<01:40, 94.5kit/s]

5.7%┣██                                  ┫ 569.3k/10.0M [00:06<01:40, 94.4kit/s]

5.8%┣██                                  ┫ 580.1k/10.0M [00:06<01:39, 95.4kit/s]

5.9%┣██▏                                 ┫ 590.7k/10.0M [00:06<01:38, 96.3kit/s]

6.0%┣██▏                                 ┫ 600.7k/10.0M [00:06<01:37, 97.2kit/s]

6.1%┣██▏                                 ┫ 608.4k/10.0M [00:06<01:36, 97.6kit/s]

6.2%┣██▏                                 ┫ 615.3k/10.0M [00:06<01:36, 97.7kit/s]

6.2%┣██▎                                 ┫ 623.8k/10.0M [00:06<01:35, 98.2kit/s]

6.3%┣██▎                                 ┫ 634.1k/10.0M [00:06<01:35, 99.1kit/s]

6.5%┣██▎                                ┫ 645.0k/10.0M [00:06<01:34, 100.0kit/s]

6.5%┣██▎                                ┫ 653.8k/10.0M [00:07<01:33, 100.6kit/s]

6.6%┣██▎                                ┫ 660.6k/10.0M [00:07<01:33, 100.8kit/s]

6.7%┣██▍                                ┫ 671.7k/10.0M [00:07<01:32, 101.7kit/s]

6.8%┣██▍                                ┫ 682.6k/10.0M [00:07<01:31, 102.6kit/s]

6.9%┣██▍                                ┫ 691.6k/10.0M [00:07<01:30, 103.1kit/s]

7.0%┣██▌                                ┫ 702.8k/10.0M [00:07<01:29, 104.0kit/s]

7.1%┣██▌                                ┫ 713.7k/10.0M [00:07<01:29, 104.8kit/s]

7.2%┣██▌                                ┫ 723.4k/10.0M [00:07<01:28, 105.4kit/s]

7.3%┣██▋                                ┫ 734.4k/10.0M [00:07<01:27, 106.3kit/s]

7.5%┣██▋                                ┫ 745.4k/10.0M [00:07<01:26, 107.1kit/s]

7.6%┣██▋                                ┫ 755.0k/10.0M [00:07<01:26, 107.7kit/s]

7.7%┣██▊                                ┫ 766.0k/10.0M [00:07<01:25, 108.4kit/s]

7.8%┣██▊                                ┫ 775.4k/10.0M [00:07<01:25, 109.0kit/s]

7.9%┣██▊                                ┫ 786.4k/10.0M [00:07<01:24, 109.8kit/s]

8.0%┣██▉                                ┫ 796.1k/10.0M [00:07<01:23, 110.3kit/s]

8.1%┣██▉                                ┫ 806.1k/10.0M [00:07<01:23, 110.9kit/s]

8.2%┣██▉                                ┫ 817.1k/10.0M [00:07<01:22, 111.7kit/s]

8.3%┣███                                ┫ 826.6k/10.0M [00:07<01:22, 112.2kit/s]

8.4%┣███                                ┫ 837.8k/10.0M [00:07<01:21, 112.9kit/s]

8.5%┣███                                ┫ 847.4k/10.0M [00:07<01:21, 113.5kit/s]

8.6%┣███                                ┫ 856.8k/10.0M [00:08<01:20, 113.9kit/s]

8.7%┣███                                ┫ 867.7k/10.0M [00:08<01:20, 114.6kit/s]

8.8%┣███                                ┫ 877.7k/10.0M [00:08<01:19, 115.2kit/s]

8.9%┣███                                ┫ 888.4k/10.0M [00:08<01:19, 115.8kit/s]

9.0%┣███▏                               ┫ 898.1k/10.0M [00:08<01:18, 116.3kit/s]

9.1%┣███▏                               ┫ 908.2k/10.0M [00:08<01:18, 116.9kit/s]

9.2%┣███▏                               ┫ 919.4k/10.0M [00:08<01:17, 117.5kit/s]

9.3%┣███▎                               ┫ 929.2k/10.0M [00:08<01:17, 118.0kit/s]

9.4%┣███▎                               ┫ 940.0k/10.0M [00:08<01:16, 118.6kit/s]

9.5%┣███▎                               ┫ 951.2k/10.0M [00:08<01:16, 119.2kit/s]

9.6%┣███▍                               ┫ 961.1k/10.0M [00:08<01:16, 119.7kit/s]

9.7%┣███▍                               ┫ 972.3k/10.0M [00:08<01:15, 120.3kit/s]

9.8%┣███▍                               ┫ 982.4k/10.0M [00:08<01:15, 120.8kit/s]

9.9%┣███▌                               ┫ 992.1k/10.0M [00:08<01:14, 121.3kit/s]

10.0%┣███▋                                ┫ 1.0M/10.0M [00:08<01:14, 121.8kit/s]

10.1%┣███▋                                ┫ 1.0M/10.0M [00:08<01:14, 122.2kit/s]

10.2%┣███▊                                ┫ 1.0M/10.0M [00:08<01:13, 122.8kit/s]

10.3%┣███▊                                ┫ 1.0M/10.0M [00:08<01:13, 123.1kit/s]

10.4%┣███▊                                ┫ 1.0M/10.0M [00:08<01:13, 123.4kit/s]

10.5%┣███▉                                ┫ 1.1M/10.0M [00:08<01:12, 123.9kit/s]

10.6%┣███▉                                ┫ 1.1M/10.0M [00:09<01:12, 124.2kit/s]

10.7%┣███▉                                ┫ 1.1M/10.0M [00:09<01:12, 124.7kit/s]

10.8%┣███▉                                ┫ 1.1M/10.0M [00:09<01:11, 125.0kit/s]

10.9%┣████                                ┫ 1.1M/10.0M [00:09<01:11, 125.4kit/s]

11.0%┣████                                ┫ 1.1M/10.0M [00:09<01:11, 125.7kit/s]

11.1%┣████                                ┫ 1.1M/10.0M [00:09<01:11, 126.0kit/s]

11.2%┣████                                ┫ 1.1M/10.0M [00:09<01:10, 126.5kit/s]

11.3%┣████                                ┫ 1.1M/10.0M [00:09<01:10, 126.8kit/s]

11.4%┣████                                ┫ 1.1M/10.0M [00:09<01:10, 127.3kit/s]

11.5%┣████▏                               ┫ 1.1M/10.0M [00:09<01:09, 127.6kit/s]

11.6%┣████▏                               ┫ 1.2M/10.0M [00:09<01:09, 128.0kit/s]

11.7%┣████▏                               ┫ 1.2M/10.0M [00:09<01:09, 128.2kit/s]

11.7%┣████▎                               ┫ 1.2M/10.0M [00:09<01:09, 128.5kit/s]

11.8%┣████▎                               ┫ 1.2M/10.0M [00:09<01:08, 128.9kit/s]

11.9%┣████▎                               ┫ 1.2M/10.0M [00:09<01:08, 129.3kit/s]

12.1%┣████▍                               ┫ 1.2M/10.0M [00:09<01:08, 129.8kit/s]

12.2%┣████▍                               ┫ 1.2M/10.0M [00:09<01:07, 130.2kit/s]

12.3%┣████▍                               ┫ 1.2M/10.0M [00:09<01:07, 130.6kit/s]

12.4%┣████▌                               ┫ 1.2M/10.0M [00:09<01:07, 131.0kit/s]

12.5%┣████▌                               ┫ 1.2M/10.0M [00:09<01:07, 131.3kit/s]

12.6%┣████▌                               ┫ 1.3M/10.0M [00:10<01:06, 131.6kit/s]

12.6%┣████▌                               ┫ 1.3M/10.0M [00:10<01:06, 131.8kit/s]

12.8%┣████▋                               ┫ 1.3M/10.0M [00:10<01:06, 132.2kit/s]

12.9%┣████▋                               ┫ 1.3M/10.0M [00:10<01:06, 132.6kit/s]

13.0%┣████▋                               ┫ 1.3M/10.0M [00:10<01:06, 132.8kit/s]

13.1%┣████▊                               ┫ 1.3M/10.0M [00:10<01:05, 133.1kit/s]

13.1%┣████▊                               ┫ 1.3M/10.0M [00:10<01:05, 133.2kit/s]

13.2%┣████▊                               ┫ 1.3M/10.0M [00:10<01:05, 133.4kit/s]

13.3%┣████▉                               ┫ 1.3M/10.0M [00:10<01:05, 133.7kit/s]

13.4%┣████▉                               ┫ 1.3M/10.0M [00:10<01:05, 134.1kit/s]

13.5%┣████▉                               ┫ 1.4M/10.0M [00:10<01:04, 134.3kit/s]

13.6%┣█████                               ┫ 1.4M/10.0M [00:10<01:04, 134.6kit/s]

13.7%┣█████                               ┫ 1.4M/10.0M [00:10<01:04, 134.9kit/s]

13.8%┣█████                               ┫ 1.4M/10.0M [00:10<01:04, 135.2kit/s]

13.9%┣█████                               ┫ 1.4M/10.0M [00:10<01:04, 135.6kit/s]

14.0%┣█████                               ┫ 1.4M/10.0M [00:10<01:03, 135.8kit/s]

14.1%┣█████                               ┫ 1.4M/10.0M [00:10<01:03, 136.1kit/s]

14.2%┣█████▏                              ┫ 1.4M/10.0M [00:10<01:03, 136.4kit/s]

14.3%┣█████▏                              ┫ 1.4M/10.0M [00:10<01:03, 136.6kit/s]

14.4%┣█████▏                              ┫ 1.4M/10.0M [00:11<01:02, 137.1kit/s]

14.5%┣█████▎                              ┫ 1.5M/10.0M [00:11<01:02, 137.4kit/s]

14.6%┣█████▎                              ┫ 1.5M/10.0M [00:11<01:02, 137.6kit/s]

14.7%┣█████▎                              ┫ 1.5M/10.0M [00:11<01:02, 138.0kit/s]

14.8%┣█████▍                              ┫ 1.5M/10.0M [00:11<01:02, 138.3kit/s]

14.9%┣█████▍                              ┫ 1.5M/10.0M [00:11<01:01, 138.7kit/s]

15.0%┣█████▍                              ┫ 1.5M/10.0M [00:11<01:01, 138.9kit/s]

15.1%┣█████▍                              ┫ 1.5M/10.0M [00:11<01:01, 139.2kit/s]

15.2%┣█████▌                              ┫ 1.5M/10.0M [00:11<01:01, 139.6kit/s]

15.3%┣█████▌                              ┫ 1.5M/10.0M [00:11<01:01, 139.8kit/s]

15.4%┣█████▋                              ┫ 1.5M/10.0M [00:11<01:00, 140.1kit/s]

15.6%┣█████▋                              ┫ 1.6M/10.0M [00:11<01:00, 140.5kit/s]

15.7%┣█████▋                              ┫ 1.6M/10.0M [00:11<01:00, 140.7kit/s]

15.8%┣█████▊                              ┫ 1.6M/10.0M [00:11<01:00, 141.1kit/s]

15.9%┣█████▊                              ┫ 1.6M/10.0M [00:11<01:00, 141.4kit/s]

16.0%┣█████▊                              ┫ 1.6M/10.0M [00:11<00:59, 141.6kit/s]

16.1%┣█████▉                              ┫ 1.6M/10.0M [00:11<00:59, 142.0kit/s]

16.2%┣█████▉                              ┫ 1.6M/10.0M [00:11<00:59, 142.2kit/s]

16.3%┣█████▉                              ┫ 1.6M/10.0M [00:11<00:59, 142.5kit/s]

16.4%┣██████                              ┫ 1.6M/10.0M [00:11<00:59, 142.8kit/s]

16.5%┣██████                              ┫ 1.6M/10.0M [00:12<00:58, 143.1kit/s]

16.6%┣██████                              ┫ 1.7M/10.0M [00:12<00:58, 143.4kit/s]

16.7%┣██████                              ┫ 1.7M/10.0M [00:12<00:58, 143.6kit/s]

16.8%┣██████                              ┫ 1.7M/10.0M [00:12<00:58, 143.8kit/s]

16.9%┣██████                              ┫ 1.7M/10.0M [00:12<00:58, 144.1kit/s]

17.0%┣██████▏                             ┫ 1.7M/10.0M [00:12<00:58, 144.3kit/s]

17.1%┣██████▏                             ┫ 1.7M/10.0M [00:12<00:57, 144.6kit/s]

17.2%┣██████▏                             ┫ 1.7M/10.0M [00:12<00:57, 144.7kit/s]

17.3%┣██████▎                             ┫ 1.7M/10.0M [00:12<00:57, 144.9kit/s]

17.4%┣██████▎                             ┫ 1.7M/10.0M [00:12<00:57, 145.3kit/s]

17.5%┣██████▎                             ┫ 1.8M/10.0M [00:12<00:57, 145.5kit/s]

17.6%┣██████▍                             ┫ 1.8M/10.0M [00:12<00:56, 145.8kit/s]

17.7%┣██████▍                             ┫ 1.8M/10.0M [00:12<00:56, 146.0kit/s]

17.8%┣██████▍                             ┫ 1.8M/10.0M [00:12<00:56, 146.3kit/s]

17.9%┣██████▌                             ┫ 1.8M/10.0M [00:12<00:56, 146.6kit/s]

18.0%┣██████▌                             ┫ 1.8M/10.0M [00:12<00:56, 146.8kit/s]

18.1%┣██████▌                             ┫ 1.8M/10.0M [00:12<00:56, 147.0kit/s]

18.2%┣██████▋                             ┫ 1.8M/10.0M [00:12<00:55, 147.3kit/s]

18.3%┣██████▋                             ┫ 1.8M/10.0M [00:12<00:55, 147.5kit/s]

18.5%┣██████▋                             ┫ 1.8M/10.0M [00:12<00:55, 147.8kit/s]

18.6%┣██████▊                             ┫ 1.9M/10.0M [00:13<00:55, 148.0kit/s]

18.6%┣██████▊                             ┫ 1.9M/10.0M [00:13<00:55, 148.2kit/s]

18.7%┣██████▊                             ┫ 1.9M/10.0M [00:13<00:55, 148.4kit/s]

18.8%┣██████▉                             ┫ 1.9M/10.0M [00:13<00:55, 148.6kit/s]

19.0%┣██████▉                             ┫ 1.9M/10.0M [00:13<00:54, 148.8kit/s]

19.0%┣██████▉                             ┫ 1.9M/10.0M [00:13<00:54, 149.0kit/s]

19.1%┣███████                             ┫ 1.9M/10.0M [00:13<00:54, 149.1kit/s]

19.3%┣███████                             ┫ 1.9M/10.0M [00:13<00:54, 149.4kit/s]

19.4%┣███████                             ┫ 1.9M/10.0M [00:13<00:54, 149.6kit/s]

19.5%┣███████                             ┫ 1.9M/10.0M [00:13<00:54, 149.9kit/s]

19.6%┣███████                             ┫ 2.0M/10.0M [00:13<00:54, 150.0kit/s]

19.6%┣███████                             ┫ 2.0M/10.0M [00:13<00:54, 150.2kit/s]

19.8%┣███████▏                            ┫ 2.0M/10.0M [00:13<00:53, 150.4kit/s]

19.9%┣███████▏                            ┫ 2.0M/10.0M [00:13<00:53, 150.6kit/s]

20.0%┣███████▏                            ┫ 2.0M/10.0M [00:13<00:53, 150.9kit/s]

20.1%┣███████▎                            ┫ 2.0M/10.0M [00:13<00:53, 151.0kit/s]

20.2%┣███████▎                            ┫ 2.0M/10.0M [00:13<00:53, 151.2kit/s]

20.3%┣███████▎                            ┫ 2.0M/10.0M [00:13<00:53, 151.5kit/s]

20.4%┣███████▍                            ┫ 2.0M/10.0M [00:13<00:52, 151.7kit/s]

20.5%┣███████▍                            ┫ 2.0M/10.0M [00:13<00:52, 151.9kit/s]

20.6%┣███████▍                            ┫ 2.1M/10.0M [00:14<00:52, 152.1kit/s]

20.7%┣███████▌                            ┫ 2.1M/10.0M [00:14<00:52, 152.3kit/s]

20.8%┣███████▌                            ┫ 2.1M/10.0M [00:14<00:52, 152.6kit/s]

20.9%┣███████▌                            ┫ 2.1M/10.0M [00:14<00:52, 152.8kit/s]

21.0%┣███████▋                            ┫ 2.1M/10.0M [00:14<00:52, 152.9kit/s]

21.1%┣███████▋                            ┫ 2.1M/10.0M [00:14<00:51, 153.2kit/s]

21.2%┣███████▋                            ┫ 2.1M/10.0M [00:14<00:51, 153.4kit/s]

21.3%┣███████▊                            ┫ 2.1M/10.0M [00:14<00:51, 153.5kit/s]

21.4%┣███████▊                            ┫ 2.1M/10.0M [00:14<00:51, 153.8kit/s]

21.5%┣███████▊                            ┫ 2.2M/10.0M [00:14<00:51, 153.9kit/s]

21.6%┣███████▉                            ┫ 2.2M/10.0M [00:14<00:51, 154.2kit/s]

21.7%┣███████▉                            ┫ 2.2M/10.0M [00:14<00:51, 154.3kit/s]

21.8%┣███████▉                            ┫ 2.2M/10.0M [00:14<00:51, 154.5kit/s]

22.0%┣████████                            ┫ 2.2M/10.0M [00:14<00:50, 154.7kit/s]

22.1%┣████████                            ┫ 2.2M/10.0M [00:14<00:50, 154.9kit/s]

22.2%┣████████                            ┫ 2.2M/10.0M [00:14<00:50, 155.0kit/s]

22.3%┣████████                            ┫ 2.2M/10.0M [00:14<00:50, 155.3kit/s]

22.4%┣████████                            ┫ 2.2M/10.0M [00:14<00:50, 155.5kit/s]

22.5%┣████████                            ┫ 2.2M/10.0M [00:14<00:50, 155.7kit/s]

22.6%┣████████▏                           ┫ 2.3M/10.0M [00:14<00:50, 155.9kit/s]

22.7%┣████████▏                           ┫ 2.3M/10.0M [00:15<00:50, 156.0kit/s]

22.8%┣████████▏                           ┫ 2.3M/10.0M [00:15<00:49, 156.3kit/s]

22.9%┣████████▎                           ┫ 2.3M/10.0M [00:15<00:49, 156.4kit/s]

23.0%┣████████▎                           ┫ 2.3M/10.0M [00:15<00:49, 156.6kit/s]

23.1%┣████████▎                           ┫ 2.3M/10.0M [00:15<00:49, 156.8kit/s]

23.2%┣████████▍                           ┫ 2.3M/10.0M [00:15<00:49, 157.0kit/s]

23.3%┣████████▍                           ┫ 2.3M/10.0M [00:15<00:49, 157.1kit/s]

23.4%┣████████▍                           ┫ 2.3M/10.0M [00:15<00:49, 157.4kit/s]

23.5%┣████████▌                           ┫ 2.4M/10.0M [00:15<00:49, 157.5kit/s]

23.7%┣████████▌                           ┫ 2.4M/10.0M [00:15<00:48, 157.8kit/s]

23.8%┣████████▌                           ┫ 2.4M/10.0M [00:15<00:48, 157.9kit/s]

23.9%┣████████▋                           ┫ 2.4M/10.0M [00:15<00:48, 158.1kit/s]

24.0%┣████████▋                           ┫ 2.4M/10.0M [00:15<00:48, 158.3kit/s]

24.1%┣████████▊                           ┫ 2.4M/10.0M [00:15<00:48, 158.4kit/s]

24.2%┣████████▊                           ┫ 2.4M/10.0M [00:15<00:48, 158.6kit/s]

24.3%┣████████▊                           ┫ 2.4M/10.0M [00:15<00:48, 158.8kit/s]

24.4%┣████████▉                           ┫ 2.4M/10.0M [00:15<00:48, 158.9kit/s]

24.5%┣████████▉                           ┫ 2.5M/10.0M [00:15<00:47, 159.1kit/s]

24.6%┣████████▉                           ┫ 2.5M/10.0M [00:15<00:47, 159.2kit/s]

24.7%┣█████████                           ┫ 2.5M/10.0M [00:15<00:47, 159.4kit/s]

24.8%┣█████████                           ┫ 2.5M/10.0M [00:16<00:47, 159.6kit/s]

24.9%┣█████████                           ┫ 2.5M/10.0M [00:16<00:47, 159.7kit/s]

25.0%┣█████████                           ┫ 2.5M/10.0M [00:16<00:47, 159.8kit/s]

25.1%┣█████████                           ┫ 2.5M/10.0M [00:16<00:47, 160.0kit/s]

25.2%┣█████████                           ┫ 2.5M/10.0M [00:16<00:47, 160.2kit/s]

25.3%┣█████████▏                          ┫ 2.5M/10.0M [00:16<00:47, 160.4kit/s]

25.4%┣█████████▏                          ┫ 2.5M/10.0M [00:16<00:46, 160.5kit/s]

25.5%┣█████████▏                          ┫ 2.6M/10.0M [00:16<00:46, 160.6kit/s]

25.7%┣█████████▎                          ┫ 2.6M/10.0M [00:16<00:46, 160.8kit/s]

25.8%┣█████████▎                          ┫ 2.6M/10.0M [00:16<00:46, 160.9kit/s]

25.9%┣█████████▎                          ┫ 2.6M/10.0M [00:16<00:46, 161.1kit/s]

26.0%┣█████████▍                          ┫ 2.6M/10.0M [00:16<00:46, 161.3kit/s]

26.1%┣█████████▍                          ┫ 2.6M/10.0M [00:16<00:46, 161.4kit/s]

26.2%┣█████████▍                          ┫ 2.6M/10.0M [00:16<00:46, 161.6kit/s]

26.3%┣█████████▌                          ┫ 2.6M/10.0M [00:16<00:46, 161.7kit/s]

26.4%┣█████████▌                          ┫ 2.6M/10.0M [00:16<00:45, 161.8kit/s]

26.5%┣█████████▌                          ┫ 2.6M/10.0M [00:16<00:45, 162.0kit/s]

26.6%┣█████████▋                          ┫ 2.7M/10.0M [00:16<00:45, 162.1kit/s]

26.7%┣█████████▋                          ┫ 2.7M/10.0M [00:16<00:45, 162.2kit/s]

26.8%┣█████████▋                          ┫ 2.7M/10.0M [00:17<00:45, 162.4kit/s]

26.9%┣█████████▊                          ┫ 2.7M/10.0M [00:17<00:45, 162.5kit/s]

27.0%┣█████████▊                          ┫ 2.7M/10.0M [00:17<00:45, 162.7kit/s]

27.1%┣█████████▊                          ┫ 2.7M/10.0M [00:17<00:45, 162.8kit/s]

27.2%┣█████████▉                          ┫ 2.7M/10.0M [00:17<00:45, 162.9kit/s]

27.3%┣█████████▉                          ┫ 2.7M/10.0M [00:17<00:45, 163.0kit/s]

27.4%┣█████████▉                          ┫ 2.7M/10.0M [00:17<00:45, 163.0kit/s]

27.5%┣██████████                          ┫ 2.7M/10.0M [00:17<00:44, 163.2kit/s]

27.6%┣██████████                          ┫ 2.8M/10.0M [00:17<00:44, 163.2kit/s]

27.7%┣██████████                          ┫ 2.8M/10.0M [00:17<00:44, 163.3kit/s]

27.8%┣██████████                          ┫ 2.8M/10.0M [00:17<00:44, 163.4kit/s]

27.9%┣██████████                          ┫ 2.8M/10.0M [00:17<00:44, 163.4kit/s]

28.0%┣██████████                          ┫ 2.8M/10.0M [00:17<00:44, 163.5kit/s]

28.1%┣██████████                          ┫ 2.8M/10.0M [00:17<00:44, 163.6kit/s]

28.2%┣██████████▏                         ┫ 2.8M/10.0M [00:17<00:44, 163.6kit/s]

28.3%┣██████████▏                         ┫ 2.8M/10.0M [00:17<00:44, 163.7kit/s]

28.4%┣██████████▏                         ┫ 2.8M/10.0M [00:17<00:44, 163.9kit/s]

28.5%┣██████████▎                         ┫ 2.8M/10.0M [00:17<00:44, 163.9kit/s]

28.5%┣██████████▎                         ┫ 2.9M/10.0M [00:17<00:44, 164.0kit/s]

28.6%┣██████████▎                         ┫ 2.9M/10.0M [00:17<00:43, 164.1kit/s]

28.7%┣██████████▍                         ┫ 2.9M/10.0M [00:18<00:43, 164.2kit/s]

28.8%┣██████████▍                         ┫ 2.9M/10.0M [00:18<00:43, 164.3kit/s]

28.9%┣██████████▍                         ┫ 2.9M/10.0M [00:18<00:43, 164.4kit/s]

29.0%┣██████████▌                         ┫ 2.9M/10.0M [00:18<00:43, 164.4kit/s]

29.1%┣██████████▌                         ┫ 2.9M/10.0M [00:18<00:43, 164.6kit/s]

29.2%┣██████████▌                         ┫ 2.9M/10.0M [00:18<00:43, 164.6kit/s]

29.3%┣██████████▋                         ┫ 2.9M/10.0M [00:18<00:43, 164.7kit/s]

29.4%┣██████████▋                         ┫ 2.9M/10.0M [00:18<00:43, 164.8kit/s]

29.5%┣██████████▋                         ┫ 3.0M/10.0M [00:18<00:43, 165.0kit/s]

29.7%┣██████████▊                         ┫ 3.0M/10.0M [00:18<00:43, 165.1kit/s]

29.8%┣██████████▊                         ┫ 3.0M/10.0M [00:18<00:43, 165.2kit/s]

29.9%┣██████████▊                         ┫ 3.0M/10.0M [00:18<00:42, 165.4kit/s]

30.0%┣██████████▉                         ┫ 3.0M/10.0M [00:18<00:42, 165.5kit/s]

30.1%┣██████████▉                         ┫ 3.0M/10.0M [00:18<00:42, 165.5kit/s]

30.2%┣██████████▉                         ┫ 3.0M/10.0M [00:18<00:42, 165.6kit/s]

30.2%┣██████████▉                         ┫ 3.0M/10.0M [00:18<00:42, 165.6kit/s]

30.3%┣███████████                         ┫ 3.0M/10.0M [00:18<00:42, 165.7kit/s]

30.4%┣███████████                         ┫ 3.0M/10.0M [00:18<00:42, 165.7kit/s]

30.5%┣███████████                         ┫ 3.1M/10.0M [00:18<00:42, 165.9kit/s]

30.6%┣███████████                         ┫ 3.1M/10.0M [00:18<00:42, 165.9kit/s]

30.7%┣███████████                         ┫ 3.1M/10.0M [00:19<00:42, 166.0kit/s]

30.8%┣███████████                         ┫ 3.1M/10.0M [00:19<00:42, 166.1kit/s]

30.9%┣███████████▏                        ┫ 3.1M/10.0M [00:19<00:42, 166.1kit/s]

31.0%┣███████████▏                        ┫ 3.1M/10.0M [00:19<00:42, 166.2kit/s]

31.1%┣███████████▏                        ┫ 3.1M/10.0M [00:19<00:41, 166.2kit/s]

31.2%┣███████████▎                        ┫ 3.1M/10.0M [00:19<00:41, 166.2kit/s]

31.3%┣███████████▎                        ┫ 3.1M/10.0M [00:19<00:41, 166.3kit/s]

31.4%┣███████████▎                        ┫ 3.1M/10.0M [00:19<00:41, 166.4kit/s]

31.5%┣███████████▎                        ┫ 3.1M/10.0M [00:19<00:41, 166.4kit/s]

31.6%┣███████████▍                        ┫ 3.2M/10.0M [00:19<00:41, 166.5kit/s]

31.7%┣███████████▍                        ┫ 3.2M/10.0M [00:19<00:41, 166.5kit/s]

31.8%┣███████████▍                        ┫ 3.2M/10.0M [00:19<00:41, 166.6kit/s]

31.9%┣███████████▌                        ┫ 3.2M/10.0M [00:19<00:41, 166.7kit/s]

31.9%┣███████████▌                        ┫ 3.2M/10.0M [00:19<00:41, 166.7kit/s]

32.0%┣███████████▌                        ┫ 3.2M/10.0M [00:19<00:41, 166.8kit/s]

32.1%┣███████████▋                        ┫ 3.2M/10.0M [00:19<00:41, 166.8kit/s]

32.2%┣███████████▋                        ┫ 3.2M/10.0M [00:19<00:41, 166.8kit/s]

32.3%┣███████████▋                        ┫ 3.2M/10.0M [00:19<00:41, 166.9kit/s]

32.4%┣███████████▊                        ┫ 3.2M/10.0M [00:19<00:40, 167.0kit/s]

32.5%┣███████████▊                        ┫ 3.3M/10.0M [00:19<00:40, 167.1kit/s]

32.6%┣███████████▊                        ┫ 3.3M/10.0M [00:20<00:40, 167.2kit/s]

32.7%┣███████████▊                        ┫ 3.3M/10.0M [00:20<00:40, 167.2kit/s]

32.8%┣███████████▉                        ┫ 3.3M/10.0M [00:20<00:40, 167.1kit/s]

32.9%┣███████████▉                        ┫ 3.3M/10.0M [00:20<00:40, 167.1kit/s]

32.9%┣███████████▉                        ┫ 3.3M/10.0M [00:20<00:40, 166.9kit/s]

33.0%┣███████████▉                        ┫ 3.3M/10.0M [00:20<00:40, 166.9kit/s]

33.1%┣████████████                        ┫ 3.3M/10.0M [00:20<00:40, 166.9kit/s]

33.2%┣████████████                        ┫ 3.3M/10.0M [00:20<00:40, 167.0kit/s]

33.3%┣████████████                        ┫ 3.3M/10.0M [00:20<00:40, 167.0kit/s]

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33.4%┣████████████                        ┫ 3.3M/10.0M [00:20<00:40, 167.1kit/s]

33.5%┣████████████                        ┫ 3.4M/10.0M [00:20<00:40, 167.2kit/s]

33.6%┣████████████                        ┫ 3.4M/10.0M [00:20<00:40, 167.2kit/s]

33.7%┣████████████▏                       ┫ 3.4M/10.0M [00:20<00:40, 167.3kit/s]

33.9%┣████████████▏                       ┫ 3.4M/10.0M [00:20<00:39, 167.6kit/s]

34.0%┣████████████▎                       ┫ 3.4M/10.0M [00:20<00:39, 167.9kit/s]

34.1%┣████████████▎                       ┫ 3.4M/10.0M [00:20<00:39, 168.0kit/s]

34.2%┣████████████▎                       ┫ 3.4M/10.0M [00:20<00:39, 168.1kit/s]

34.3%┣████████████▍                       ┫ 3.4M/10.0M [00:20<00:39, 168.2kit/s]

34.4%┣████████████▍                       ┫ 3.4M/10.0M [00:20<00:39, 168.3kit/s]

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34.6%┣████████████▌                       ┫ 3.5M/10.0M [00:21<00:39, 168.4kit/s]

34.7%┣████████████▌                       ┫ 3.5M/10.0M [00:21<00:39, 168.5kit/s]

34.8%┣████████████▌                       ┫ 3.5M/10.0M [00:21<00:39, 168.6kit/s]

34.9%┣████████████▋                       ┫ 3.5M/10.0M [00:21<00:39, 168.6kit/s]

35.1%┣████████████▋                       ┫ 3.5M/10.0M [00:21<00:38, 168.7kit/s]

35.1%┣████████████▋                       ┫ 3.5M/10.0M [00:21<00:38, 168.8kit/s]

35.2%┣████████████▊                       ┫ 3.5M/10.0M [00:21<00:38, 168.8kit/s]

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35.4%┣████████████▊                       ┫ 3.5M/10.0M [00:21<00:38, 169.0kit/s]

35.6%┣████████████▉                       ┫ 3.6M/10.0M [00:21<00:38, 169.1kit/s]

35.6%┣████████████▉                       ┫ 3.6M/10.0M [00:21<00:38, 169.1kit/s]

35.7%┣████████████▉                       ┫ 3.6M/10.0M [00:21<00:38, 169.2kit/s]

35.9%┣█████████████                       ┫ 3.6M/10.0M [00:21<00:38, 169.3kit/s]

36.0%┣█████████████                       ┫ 3.6M/10.0M [00:21<00:38, 169.3kit/s]

36.1%┣█████████████                       ┫ 3.6M/10.0M [00:21<00:38, 169.4kit/s]

36.1%┣█████████████                       ┫ 3.6M/10.0M [00:21<00:38, 169.4kit/s]

36.2%┣█████████████                       ┫ 3.6M/10.0M [00:21<00:38, 169.5kit/s]

36.3%┣█████████████                       ┫ 3.6M/10.0M [00:21<00:38, 169.6kit/s]

36.4%┣█████████████▏                      ┫ 3.6M/10.0M [00:21<00:37, 169.6kit/s]

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36.9%┣█████████████▎                      ┫ 3.7M/10.0M [00:22<00:37, 170.0kit/s]

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37.1%┣█████████████▍                      ┫ 3.7M/10.0M [00:22<00:37, 170.1kit/s]

37.2%┣█████████████▍                      ┫ 3.7M/10.0M [00:22<00:37, 170.2kit/s]

37.3%┣█████████████▍                      ┫ 3.7M/10.0M [00:22<00:37, 170.2kit/s]

37.4%┣█████████████▌                      ┫ 3.7M/10.0M [00:22<00:37, 170.3kit/s]

37.5%┣█████████████▌                      ┫ 3.8M/10.0M [00:22<00:37, 170.4kit/s]

37.6%┣█████████████▌                      ┫ 3.8M/10.0M [00:22<00:37, 170.4kit/s]

37.7%┣█████████████▋                      ┫ 3.8M/10.0M [00:22<00:37, 170.5kit/s]

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38.1%┣█████████████▊                      ┫ 3.8M/10.0M [00:22<00:36, 170.7kit/s]

38.2%┣█████████████▊                      ┫ 3.8M/10.0M [00:22<00:36, 170.9kit/s]

38.3%┣█████████████▉                      ┫ 3.8M/10.0M [00:22<00:36, 170.9kit/s]

38.4%┣█████████████▉                      ┫ 3.8M/10.0M [00:22<00:36, 170.9kit/s]

38.5%┣█████████████▉                      ┫ 3.9M/10.0M [00:23<00:36, 171.0kit/s]

38.6%┣██████████████                      ┫ 3.9M/10.0M [00:23<00:36, 171.0kit/s]

38.7%┣██████████████                      ┫ 3.9M/10.0M [00:23<00:36, 171.1kit/s]

38.8%┣██████████████                      ┫ 3.9M/10.0M [00:23<00:36, 171.1kit/s]

38.9%┣██████████████                      ┫ 3.9M/10.0M [00:23<00:36, 171.2kit/s]

39.0%┣██████████████                      ┫ 3.9M/10.0M [00:23<00:36, 171.3kit/s]

39.1%┣██████████████                      ┫ 3.9M/10.0M [00:23<00:36, 171.3kit/s]

39.2%┣██████████████▏                     ┫ 3.9M/10.0M [00:23<00:35, 171.4kit/s]

39.3%┣██████████████▏                     ┫ 3.9M/10.0M [00:23<00:35, 171.4kit/s]

39.4%┣██████████████▏                     ┫ 3.9M/10.0M [00:23<00:35, 171.5kit/s]

39.5%┣██████████████▎                     ┫ 4.0M/10.0M [00:23<00:35, 171.5kit/s]

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40.5%┣██████████████▋                     ┫ 4.1M/10.0M [00:24<00:35, 172.1kit/s]

40.6%┣██████████████▋                     ┫ 4.1M/10.0M [00:24<00:34, 172.2kit/s]

40.7%┣██████████████▋                     ┫ 4.1M/10.0M [00:24<00:34, 172.3kit/s]

40.8%┣██████████████▊                     ┫ 4.1M/10.0M [00:24<00:34, 172.3kit/s]

40.9%┣██████████████▊                     ┫ 4.1M/10.0M [00:24<00:34, 172.4kit/s]

41.0%┣██████████████▊                     ┫ 4.1M/10.0M [00:24<00:34, 172.4kit/s]

41.1%┣██████████████▉                     ┫ 4.1M/10.0M [00:24<00:34, 172.4kit/s]

41.2%┣██████████████▉                     ┫ 4.1M/10.0M [00:24<00:34, 172.5kit/s]

41.3%┣██████████████▉                     ┫ 4.1M/10.0M [00:24<00:34, 172.5kit/s]

41.4%┣███████████████                     ┫ 4.1M/10.0M [00:24<00:34, 172.5kit/s]

41.5%┣███████████████                     ┫ 4.1M/10.0M [00:24<00:34, 172.5kit/s]

41.6%┣███████████████                     ┫ 4.2M/10.0M [00:24<00:34, 172.6kit/s]

41.7%┣███████████████                     ┫ 4.2M/10.0M [00:24<00:34, 172.6kit/s]

41.8%┣███████████████                     ┫ 4.2M/10.0M [00:24<00:34, 172.7kit/s]

41.9%┣███████████████                     ┫ 4.2M/10.0M [00:24<00:34, 172.7kit/s]

42.0%┣███████████████▏                    ┫ 4.2M/10.0M [00:24<00:34, 172.7kit/s]

42.1%┣███████████████▏                    ┫ 4.2M/10.0M [00:24<00:34, 172.8kit/s]

42.2%┣███████████████▏                    ┫ 4.2M/10.0M [00:24<00:33, 172.8kit/s]

42.3%┣███████████████▏                    ┫ 4.2M/10.0M [00:24<00:33, 172.9kit/s]

42.4%┣███████████████▎                    ┫ 4.2M/10.0M [00:25<00:33, 172.9kit/s]

42.5%┣███████████████▎                    ┫ 4.2M/10.0M [00:25<00:33, 172.9kit/s]

42.6%┣███████████████▎                    ┫ 4.3M/10.0M [00:25<00:33, 173.0kit/s]

42.7%┣███████████████▍                    ┫ 4.3M/10.0M [00:25<00:33, 173.1kit/s]

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43.0%┣███████████████▌                    ┫ 4.3M/10.0M [00:25<00:33, 173.2kit/s]

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44.2%┣████████████████                    ┫ 4.4M/10.0M [00:25<00:32, 173.9kit/s]

44.3%┣████████████████                    ┫ 4.4M/10.0M [00:25<00:32, 173.9kit/s]

44.4%┣████████████████                    ┫ 4.4M/10.0M [00:26<00:32, 174.0kit/s]

44.5%┣████████████████                    ┫ 4.4M/10.0M [00:26<00:32, 174.0kit/s]

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44.7%┣████████████████                    ┫ 4.5M/10.0M [00:26<00:32, 174.1kit/s]

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50.6%┣██████████████████▏                 ┫ 5.1M/10.0M [00:29<00:28, 176.6kit/s]

50.7%┣██████████████████▎                 ┫ 5.1M/10.0M [00:29<00:28, 176.7kit/s]

50.8%┣██████████████████▎                 ┫ 5.1M/10.0M [00:29<00:28, 176.7kit/s]

50.9%┣██████████████████▎                 ┫ 5.1M/10.0M [00:29<00:28, 176.7kit/s]

51.0%┣██████████████████▍                 ┫ 5.1M/10.0M [00:29<00:28, 176.7kit/s]

51.0%┣██████████████████▍                 ┫ 5.1M/10.0M [00:29<00:28, 176.6kit/s]

51.1%┣██████████████████▍                 ┫ 5.1M/10.0M [00:29<00:28, 176.6kit/s]

51.2%┣██████████████████▍                 ┫ 5.1M/10.0M [00:29<00:28, 176.6kit/s]

51.3%┣██████████████████▌                 ┫ 5.1M/10.0M [00:29<00:28, 176.7kit/s]

51.4%┣██████████████████▌                 ┫ 5.1M/10.0M [00:29<00:28, 176.7kit/s]

51.5%┣██████████████████▌                 ┫ 5.2M/10.0M [00:29<00:27, 176.7kit/s]

51.6%┣██████████████████▋                 ┫ 5.2M/10.0M [00:29<00:27, 176.7kit/s]

51.7%┣██████████████████▋                 ┫ 5.2M/10.0M [00:29<00:27, 176.7kit/s]

51.8%┣██████████████████▋                 ┫ 5.2M/10.0M [00:29<00:27, 176.8kit/s]

51.9%┣██████████████████▊                 ┫ 5.2M/10.0M [00:29<00:27, 176.9kit/s]

52.0%┣██████████████████▊                 ┫ 5.2M/10.0M [00:29<00:27, 176.9kit/s]

52.1%┣██████████████████▊                 ┫ 5.2M/10.0M [00:29<00:27, 176.9kit/s]

52.2%┣██████████████████▉                 ┫ 5.2M/10.0M [00:29<00:27, 177.0kit/s]

52.3%┣██████████████████▉                 ┫ 5.2M/10.0M [00:30<00:27, 177.0kit/s]

52.4%┣██████████████████▉                 ┫ 5.2M/10.0M [00:30<00:27, 177.0kit/s]

52.5%┣███████████████████                 ┫ 5.3M/10.0M [00:30<00:27, 177.1kit/s]

52.6%┣███████████████████                 ┫ 5.3M/10.0M [00:30<00:27, 177.1kit/s]

52.7%┣███████████████████                 ┫ 5.3M/10.0M [00:30<00:27, 177.1kit/s]

52.8%┣███████████████████                 ┫ 5.3M/10.0M [00:30<00:27, 177.2kit/s]

52.9%┣███████████████████                 ┫ 5.3M/10.0M [00:30<00:27, 177.2kit/s]

53.0%┣███████████████████                 ┫ 5.3M/10.0M [00:30<00:27, 177.2kit/s]

53.1%┣███████████████████▏                ┫ 5.3M/10.0M [00:30<00:26, 177.3kit/s]

53.2%┣███████████████████▏                ┫ 5.3M/10.0M [00:30<00:26, 177.3kit/s]

53.3%┣███████████████████▏                ┫ 5.3M/10.0M [00:30<00:26, 177.3kit/s]

53.4%┣███████████████████▎                ┫ 5.3M/10.0M [00:30<00:26, 177.4kit/s]

53.5%┣███████████████████▎                ┫ 5.4M/10.0M [00:30<00:26, 177.4kit/s]

53.6%┣███████████████████▎                ┫ 5.4M/10.0M [00:30<00:26, 177.5kit/s]

53.7%┣███████████████████▍                ┫ 5.4M/10.0M [00:30<00:26, 177.5kit/s]

53.8%┣███████████████████▍                ┫ 5.4M/10.0M [00:30<00:26, 177.6kit/s]

53.9%┣███████████████████▍                ┫ 5.4M/10.0M [00:30<00:26, 177.6kit/s]

54.0%┣███████████████████▌                ┫ 5.4M/10.0M [00:30<00:26, 177.7kit/s]

54.1%┣███████████████████▌                ┫ 5.4M/10.0M [00:30<00:26, 177.7kit/s]

54.2%┣███████████████████▌                ┫ 5.4M/10.0M [00:31<00:26, 177.7kit/s]

54.3%┣███████████████████▋                ┫ 5.4M/10.0M [00:31<00:26, 177.8kit/s]

54.4%┣███████████████████▋                ┫ 5.4M/10.0M [00:31<00:26, 177.8kit/s]

54.5%┣███████████████████▋                ┫ 5.5M/10.0M [00:31<00:26, 177.9kit/s]

54.6%┣███████████████████▊                ┫ 5.5M/10.0M [00:31<00:25, 177.9kit/s]

54.7%┣███████████████████▊                ┫ 5.5M/10.0M [00:31<00:25, 177.9kit/s]

54.9%┣███████████████████▊                ┫ 5.5M/10.0M [00:31<00:25, 178.0kit/s]

55.0%┣███████████████████▉                ┫ 5.5M/10.0M [00:31<00:25, 178.0kit/s]

55.1%┣███████████████████▉                ┫ 5.5M/10.0M [00:31<00:25, 178.1kit/s]

55.2%┣███████████████████▉                ┫ 5.5M/10.0M [00:31<00:25, 178.2kit/s]

55.3%┣████████████████████                ┫ 5.5M/10.0M [00:31<00:25, 178.2kit/s]

55.4%┣████████████████████                ┫ 5.5M/10.0M [00:31<00:25, 178.3kit/s]

55.5%┣████████████████████                ┫ 5.5M/10.0M [00:31<00:25, 178.3kit/s]

55.6%┣████████████████████                ┫ 5.6M/10.0M [00:31<00:25, 178.3kit/s]

55.7%┣████████████████████                ┫ 5.6M/10.0M [00:31<00:25, 178.4kit/s]

55.8%┣████████████████████                ┫ 5.6M/10.0M [00:31<00:25, 178.4kit/s]

55.9%┣████████████████████▏               ┫ 5.6M/10.0M [00:31<00:25, 178.4kit/s]

56.0%┣████████████████████▏               ┫ 5.6M/10.0M [00:31<00:25, 178.5kit/s]

56.1%┣████████████████████▏               ┫ 5.6M/10.0M [00:31<00:25, 178.6kit/s]

56.2%┣████████████████████▎               ┫ 5.6M/10.0M [00:31<00:25, 178.6kit/s]

56.3%┣████████████████████▎               ┫ 5.6M/10.0M [00:32<00:24, 178.7kit/s]

56.4%┣████████████████████▎               ┫ 5.6M/10.0M [00:32<00:24, 178.7kit/s]

56.5%┣████████████████████▍               ┫ 5.7M/10.0M [00:32<00:24, 178.7kit/s]

56.6%┣████████████████████▍               ┫ 5.7M/10.0M [00:32<00:24, 178.7kit/s]

56.7%┣████████████████████▍               ┫ 5.7M/10.0M [00:32<00:24, 178.8kit/s]

56.8%┣████████████████████▌               ┫ 5.7M/10.0M [00:32<00:24, 178.8kit/s]

56.9%┣████████████████████▌               ┫ 5.7M/10.0M [00:32<00:24, 178.8kit/s]

57.0%┣████████████████████▌               ┫ 5.7M/10.0M [00:32<00:24, 178.8kit/s]

57.1%┣████████████████████▋               ┫ 5.7M/10.0M [00:32<00:24, 178.8kit/s]

57.2%┣████████████████████▋               ┫ 5.7M/10.0M [00:32<00:24, 178.9kit/s]

57.3%┣████████████████████▋               ┫ 5.7M/10.0M [00:32<00:24, 178.9kit/s]

57.4%┣████████████████████▋               ┫ 5.7M/10.0M [00:32<00:24, 178.9kit/s]

57.5%┣████████████████████▊               ┫ 5.7M/10.0M [00:32<00:24, 178.9kit/s]

57.6%┣████████████████████▊               ┫ 5.8M/10.0M [00:32<00:24, 178.9kit/s]

57.7%┣████████████████████▊               ┫ 5.8M/10.0M [00:32<00:24, 179.0kit/s]

57.8%┣████████████████████▉               ┫ 5.8M/10.0M [00:32<00:24, 179.0kit/s]

57.9%┣████████████████████▉               ┫ 5.8M/10.0M [00:32<00:24, 179.0kit/s]

58.0%┣████████████████████▉               ┫ 5.8M/10.0M [00:32<00:23, 179.0kit/s]

58.1%┣█████████████████████               ┫ 5.8M/10.0M [00:32<00:23, 179.0kit/s]

58.2%┣█████████████████████               ┫ 5.8M/10.0M [00:32<00:23, 179.1kit/s]

58.3%┣█████████████████████               ┫ 5.8M/10.0M [00:33<00:23, 179.1kit/s]

58.4%┣█████████████████████               ┫ 5.8M/10.0M [00:33<00:23, 179.1kit/s]

58.5%┣█████████████████████               ┫ 5.8M/10.0M [00:33<00:23, 179.1kit/s]

58.6%┣█████████████████████               ┫ 5.9M/10.0M [00:33<00:23, 179.2kit/s]

58.7%┣█████████████████████▏              ┫ 5.9M/10.0M [00:33<00:23, 179.2kit/s]

58.7%┣█████████████████████▏              ┫ 5.9M/10.0M [00:33<00:23, 179.2kit/s]

58.8%┣█████████████████████▏              ┫ 5.9M/10.0M [00:33<00:23, 179.2kit/s]

58.9%┣█████████████████████▏              ┫ 5.9M/10.0M [00:33<00:23, 179.2kit/s]

59.0%┣█████████████████████▎              ┫ 5.9M/10.0M [00:33<00:23, 179.2kit/s]

59.1%┣█████████████████████▎              ┫ 5.9M/10.0M [00:33<00:23, 179.3kit/s]

59.2%┣█████████████████████▎              ┫ 5.9M/10.0M [00:33<00:23, 179.3kit/s]

59.3%┣█████████████████████▍              ┫ 5.9M/10.0M [00:33<00:23, 179.3kit/s]

59.4%┣█████████████████████▍              ┫ 5.9M/10.0M [00:33<00:23, 179.3kit/s]

59.5%┣█████████████████████▍              ┫ 6.0M/10.0M [00:33<00:23, 179.3kit/s]

59.6%┣█████████████████████▌              ┫ 6.0M/10.0M [00:33<00:23, 179.3kit/s]

59.7%┣█████████████████████▌              ┫ 6.0M/10.0M [00:33<00:22, 179.3kit/s]

59.8%┣█████████████████████▌              ┫ 6.0M/10.0M [00:33<00:22, 179.3kit/s]

59.9%┣█████████████████████▋              ┫ 6.0M/10.0M [00:33<00:22, 179.4kit/s]

60.0%┣█████████████████████▋              ┫ 6.0M/10.0M [00:33<00:22, 179.4kit/s]

60.1%┣█████████████████████▋              ┫ 6.0M/10.0M [00:33<00:22, 179.4kit/s]

60.2%┣█████████████████████▊              ┫ 6.0M/10.0M [00:34<00:22, 179.4kit/s]

60.3%┣█████████████████████▊              ┫ 6.0M/10.0M [00:34<00:22, 179.4kit/s]

60.4%┣█████████████████████▊              ┫ 6.0M/10.0M [00:34<00:22, 179.4kit/s]

60.5%┣█████████████████████▊              ┫ 6.0M/10.0M [00:34<00:22, 179.4kit/s]

60.6%┣█████████████████████▉              ┫ 6.1M/10.0M [00:34<00:22, 179.5kit/s]

60.7%┣█████████████████████▉              ┫ 6.1M/10.0M [00:34<00:22, 179.5kit/s]

60.8%┣█████████████████████▉              ┫ 6.1M/10.0M [00:34<00:22, 179.5kit/s]

60.9%┣██████████████████████              ┫ 6.1M/10.0M [00:34<00:22, 179.5kit/s]

60.9%┣██████████████████████              ┫ 6.1M/10.0M [00:34<00:22, 179.5kit/s]

61.0%┣██████████████████████              ┫ 6.1M/10.0M [00:34<00:22, 179.5kit/s]

61.1%┣██████████████████████              ┫ 6.1M/10.0M [00:34<00:22, 179.5kit/s]

61.2%┣██████████████████████              ┫ 6.1M/10.0M [00:34<00:22, 179.5kit/s]

61.3%┣██████████████████████              ┫ 6.1M/10.0M [00:34<00:22, 179.5kit/s]

61.4%┣██████████████████████              ┫ 6.1M/10.0M [00:34<00:21, 179.6kit/s]

61.5%┣██████████████████████▏             ┫ 6.1M/10.0M [00:34<00:21, 179.5kit/s]

61.6%┣██████████████████████▏             ┫ 6.2M/10.0M [00:34<00:21, 179.5kit/s]

61.7%┣██████████████████████▏             ┫ 6.2M/10.0M [00:34<00:21, 179.5kit/s]

61.8%┣██████████████████████▎             ┫ 6.2M/10.0M [00:34<00:21, 179.5kit/s]

61.9%┣██████████████████████▎             ┫ 6.2M/10.0M [00:34<00:21, 179.6kit/s]

62.0%┣██████████████████████▎             ┫ 6.2M/10.0M [00:35<00:21, 179.6kit/s]

62.1%┣██████████████████████▍             ┫ 6.2M/10.0M [00:35<00:21, 179.6kit/s]

62.2%┣██████████████████████▍             ┫ 6.2M/10.0M [00:35<00:21, 179.6kit/s]

62.3%┣██████████████████████▍             ┫ 6.2M/10.0M [00:35<00:21, 179.6kit/s]

62.4%┣██████████████████████▌             ┫ 6.2M/10.0M [00:35<00:21, 179.6kit/s]

62.4%┣██████████████████████▌             ┫ 6.2M/10.0M [00:35<00:21, 179.6kit/s]

62.5%┣██████████████████████▌             ┫ 6.3M/10.0M [00:35<00:21, 179.6kit/s]

62.6%┣██████████████████████▌             ┫ 6.3M/10.0M [00:35<00:21, 179.6kit/s]

62.7%┣██████████████████████▋             ┫ 6.3M/10.0M [00:35<00:21, 179.6kit/s]

62.8%┣██████████████████████▋             ┫ 6.3M/10.0M [00:35<00:21, 179.6kit/s]

62.9%┣██████████████████████▋             ┫ 6.3M/10.0M [00:35<00:21, 179.6kit/s]

63.0%┣██████████████████████▊             ┫ 6.3M/10.0M [00:35<00:21, 179.6kit/s]

63.1%┣██████████████████████▊             ┫ 6.3M/10.0M [00:35<00:21, 179.6kit/s]

63.2%┣██████████████████████▊             ┫ 6.3M/10.0M [00:35<00:21, 179.6kit/s]

63.3%┣██████████████████████▊             ┫ 6.3M/10.0M [00:35<00:20, 179.6kit/s]

63.4%┣██████████████████████▉             ┫ 6.3M/10.0M [00:35<00:20, 179.6kit/s]

63.5%┣██████████████████████▉             ┫ 6.3M/10.0M [00:35<00:20, 179.7kit/s]

63.6%┣███████████████████████             ┫ 6.4M/10.0M [00:35<00:20, 179.7kit/s]

63.7%┣███████████████████████             ┫ 6.4M/10.0M [00:35<00:20, 179.9kit/s]

63.9%┣███████████████████████             ┫ 6.4M/10.0M [00:35<00:20, 180.1kit/s]

64.0%┣███████████████████████             ┫ 6.4M/10.0M [00:36<00:20, 180.2kit/s]

64.2%┣███████████████████████             ┫ 6.4M/10.0M [00:36<00:20, 180.4kit/s]

64.3%┣███████████████████████▏            ┫ 6.4M/10.0M [00:36<00:20, 180.5kit/s]

64.5%┣███████████████████████▏            ┫ 6.4M/10.0M [00:36<00:20, 180.7kit/s]

64.6%┣███████████████████████▎            ┫ 6.5M/10.0M [00:36<00:20, 180.9kit/s]

64.7%┣███████████████████████▎            ┫ 6.5M/10.0M [00:36<00:19, 181.0kit/s]

64.8%┣███████████████████████▍            ┫ 6.5M/10.0M [00:36<00:19, 181.0kit/s]

64.9%┣███████████████████████▍            ┫ 6.5M/10.0M [00:36<00:19, 181.0kit/s]

65.0%┣███████████████████████▍            ┫ 6.5M/10.0M [00:36<00:19, 181.0kit/s]

65.1%┣███████████████████████▌            ┫ 6.5M/10.0M [00:36<00:19, 181.0kit/s]

65.2%┣███████████████████████▌            ┫ 6.5M/10.0M [00:36<00:19, 181.1kit/s]

65.3%┣███████████████████████▌            ┫ 6.5M/10.0M [00:36<00:19, 181.1kit/s]

65.4%┣███████████████████████▋            ┫ 6.5M/10.0M [00:36<00:19, 181.1kit/s]

65.5%┣███████████████████████▋            ┫ 6.6M/10.0M [00:36<00:19, 181.1kit/s]

65.6%┣███████████████████████▋            ┫ 6.6M/10.0M [00:36<00:19, 181.1kit/s]

65.7%┣███████████████████████▋            ┫ 6.6M/10.0M [00:36<00:19, 181.1kit/s]

65.8%┣███████████████████████▊            ┫ 6.6M/10.0M [00:36<00:19, 181.1kit/s]

65.9%┣███████████████████████▊            ┫ 6.6M/10.0M [00:36<00:19, 181.1kit/s]

66.0%┣███████████████████████▊            ┫ 6.6M/10.0M [00:36<00:19, 181.2kit/s]

66.1%┣███████████████████████▉            ┫ 6.6M/10.0M [00:36<00:19, 181.2kit/s]

66.2%┣███████████████████████▉            ┫ 6.6M/10.0M [00:37<00:19, 181.2kit/s]

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66.4%┣████████████████████████            ┫ 6.6M/10.0M [00:37<00:19, 181.2kit/s]

66.5%┣████████████████████████            ┫ 6.6M/10.0M [00:37<00:18, 181.2kit/s]

66.6%┣████████████████████████            ┫ 6.7M/10.0M [00:37<00:18, 181.3kit/s]

66.7%┣████████████████████████            ┫ 6.7M/10.0M [00:37<00:18, 181.3kit/s]

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67.1%┣████████████████████████▏           ┫ 6.7M/10.0M [00:37<00:18, 181.3kit/s]

67.2%┣████████████████████████▏           ┫ 6.7M/10.0M [00:37<00:18, 181.3kit/s]

67.3%┣████████████████████████▏           ┫ 6.7M/10.0M [00:37<00:18, 181.4kit/s]

67.4%┣████████████████████████▎           ┫ 6.7M/10.0M [00:37<00:18, 181.5kit/s]

67.6%┣████████████████████████▎           ┫ 6.8M/10.0M [00:37<00:18, 181.7kit/s]

67.7%┣████████████████████████▍           ┫ 6.8M/10.0M [00:37<00:18, 181.9kit/s]

67.9%┣████████████████████████▍           ┫ 6.8M/10.0M [00:37<00:18, 181.9kit/s]

68.0%┣████████████████████████▌           ┫ 6.8M/10.0M [00:37<00:18, 182.0kit/s]

68.1%┣████████████████████████▌           ┫ 6.8M/10.0M [00:37<00:18, 182.1kit/s]

68.2%┣████████████████████████▋           ┫ 6.8M/10.0M [00:37<00:17, 182.2kit/s]

68.3%┣████████████████████████▋           ┫ 6.8M/10.0M [00:37<00:17, 182.2kit/s]

68.4%┣████████████████████████▋           ┫ 6.8M/10.0M [00:38<00:17, 182.3kit/s]

68.5%┣████████████████████████▊           ┫ 6.9M/10.0M [00:38<00:17, 182.3kit/s]

68.6%┣████████████████████████▊           ┫ 6.9M/10.0M [00:38<00:17, 182.3kit/s]

68.7%┣████████████████████████▊           ┫ 6.9M/10.0M [00:38<00:17, 182.3kit/s]

68.8%┣████████████████████████▊           ┫ 6.9M/10.0M [00:38<00:17, 182.3kit/s]

68.9%┣████████████████████████▉           ┫ 6.9M/10.0M [00:38<00:17, 182.3kit/s]

69.0%┣████████████████████████▉           ┫ 6.9M/10.0M [00:38<00:17, 182.3kit/s]

69.1%┣████████████████████████▉           ┫ 6.9M/10.0M [00:38<00:17, 182.4kit/s]

69.2%┣█████████████████████████           ┫ 6.9M/10.0M [00:38<00:17, 182.4kit/s]

69.3%┣█████████████████████████           ┫ 6.9M/10.0M [00:38<00:17, 182.4kit/s]

69.4%┣█████████████████████████           ┫ 6.9M/10.0M [00:38<00:17, 182.4kit/s]

69.5%┣█████████████████████████           ┫ 6.9M/10.0M [00:38<00:17, 182.4kit/s]

69.6%┣█████████████████████████           ┫ 7.0M/10.0M [00:38<00:17, 182.4kit/s]

69.7%┣█████████████████████████           ┫ 7.0M/10.0M [00:38<00:17, 182.4kit/s]

69.8%┣█████████████████████████▏          ┫ 7.0M/10.0M [00:38<00:17, 182.4kit/s]

69.9%┣█████████████████████████▏          ┫ 7.0M/10.0M [00:38<00:17, 182.5kit/s]

70.0%┣█████████████████████████▏          ┫ 7.0M/10.0M [00:38<00:16, 182.4kit/s]

70.1%┣█████████████████████████▏          ┫ 7.0M/10.0M [00:38<00:16, 182.4kit/s]

70.2%┣█████████████████████████▎          ┫ 7.0M/10.0M [00:38<00:16, 182.4kit/s]

70.3%┣█████████████████████████▎          ┫ 7.0M/10.0M [00:39<00:16, 182.4kit/s]

70.4%┣█████████████████████████▎          ┫ 7.0M/10.0M [00:39<00:16, 182.5kit/s]

70.5%┣█████████████████████████▍          ┫ 7.0M/10.0M [00:39<00:16, 182.5kit/s]

70.6%┣█████████████████████████▍          ┫ 7.1M/10.0M [00:39<00:16, 182.5kit/s]

70.7%┣█████████████████████████▍          ┫ 7.1M/10.0M [00:39<00:16, 182.5kit/s]

70.8%┣█████████████████████████▌          ┫ 7.1M/10.0M [00:39<00:16, 182.6kit/s]

70.9%┣█████████████████████████▌          ┫ 7.1M/10.0M [00:39<00:16, 182.6kit/s]

71.0%┣█████████████████████████▌          ┫ 7.1M/10.0M [00:39<00:16, 182.6kit/s]

71.1%┣█████████████████████████▋          ┫ 7.1M/10.0M [00:39<00:16, 182.6kit/s]

71.2%┣█████████████████████████▋          ┫ 7.1M/10.0M [00:39<00:16, 182.6kit/s]

71.3%┣█████████████████████████▋          ┫ 7.1M/10.0M [00:39<00:16, 182.7kit/s]

71.4%┣█████████████████████████▊          ┫ 7.1M/10.0M [00:39<00:16, 182.7kit/s]

71.5%┣█████████████████████████▊          ┫ 7.1M/10.0M [00:39<00:16, 182.7kit/s]

71.6%┣█████████████████████████▊          ┫ 7.2M/10.0M [00:39<00:16, 182.7kit/s]

71.7%┣█████████████████████████▉          ┫ 7.2M/10.0M [00:39<00:16, 182.7kit/s]

71.8%┣█████████████████████████▉          ┫ 7.2M/10.0M [00:39<00:15, 182.8kit/s]

71.9%┣█████████████████████████▉          ┫ 7.2M/10.0M [00:39<00:15, 182.8kit/s]

72.0%┣██████████████████████████          ┫ 7.2M/10.0M [00:39<00:15, 182.8kit/s]

72.1%┣██████████████████████████          ┫ 7.2M/10.0M [00:39<00:15, 182.8kit/s]

72.2%┣██████████████████████████          ┫ 7.2M/10.0M [00:39<00:15, 182.8kit/s]

72.3%┣██████████████████████████          ┫ 7.2M/10.0M [00:40<00:15, 182.8kit/s]

72.4%┣██████████████████████████          ┫ 7.2M/10.0M [00:40<00:15, 182.8kit/s]

72.5%┣██████████████████████████          ┫ 7.2M/10.0M [00:40<00:15, 182.9kit/s]

72.6%┣██████████████████████████▏         ┫ 7.3M/10.0M [00:40<00:15, 182.9kit/s]

72.7%┣██████████████████████████▏         ┫ 7.3M/10.0M [00:40<00:15, 182.9kit/s]

72.8%┣██████████████████████████▏         ┫ 7.3M/10.0M [00:40<00:15, 182.9kit/s]

72.9%┣██████████████████████████▎         ┫ 7.3M/10.0M [00:40<00:15, 182.9kit/s]

73.0%┣██████████████████████████▎         ┫ 7.3M/10.0M [00:40<00:15, 183.0kit/s]

73.1%┣██████████████████████████▎         ┫ 7.3M/10.0M [00:40<00:15, 183.0kit/s]

73.2%┣██████████████████████████▍         ┫ 7.3M/10.0M [00:40<00:15, 183.0kit/s]

73.3%┣██████████████████████████▍         ┫ 7.3M/10.0M [00:40<00:15, 183.0kit/s]

73.4%┣██████████████████████████▍         ┫ 7.3M/10.0M [00:40<00:15, 183.0kit/s]

73.5%┣██████████████████████████▌         ┫ 7.3M/10.0M [00:40<00:14, 183.0kit/s]

73.6%┣██████████████████████████▌         ┫ 7.4M/10.0M [00:40<00:14, 183.1kit/s]

73.7%┣██████████████████████████▌         ┫ 7.4M/10.0M [00:40<00:14, 183.1kit/s]

73.8%┣██████████████████████████▌         ┫ 7.4M/10.0M [00:40<00:14, 183.1kit/s]

73.9%┣██████████████████████████▋         ┫ 7.4M/10.0M [00:40<00:14, 183.1kit/s]

74.0%┣██████████████████████████▋         ┫ 7.4M/10.0M [00:40<00:14, 183.2kit/s]

74.1%┣██████████████████████████▋         ┫ 7.4M/10.0M [00:40<00:14, 183.2kit/s]

74.2%┣██████████████████████████▊         ┫ 7.4M/10.0M [00:40<00:14, 183.2kit/s]

74.2%┣██████████████████████████▊         ┫ 7.4M/10.0M [00:41<00:14, 183.2kit/s]

74.4%┣██████████████████████████▊         ┫ 7.4M/10.0M [00:41<00:14, 183.2kit/s]

74.5%┣██████████████████████████▉         ┫ 7.4M/10.0M [00:41<00:14, 183.2kit/s]

74.6%┣██████████████████████████▉         ┫ 7.5M/10.0M [00:41<00:14, 183.2kit/s]

74.7%┣██████████████████████████▉         ┫ 7.5M/10.0M [00:41<00:14, 183.3kit/s]

74.8%┣███████████████████████████         ┫ 7.5M/10.0M [00:41<00:14, 183.3kit/s]

74.9%┣███████████████████████████         ┫ 7.5M/10.0M [00:41<00:14, 183.3kit/s]

75.0%┣███████████████████████████         ┫ 7.5M/10.0M [00:41<00:14, 183.3kit/s]

75.1%┣███████████████████████████         ┫ 7.5M/10.0M [00:41<00:14, 183.3kit/s]

75.2%┣███████████████████████████         ┫ 7.5M/10.0M [00:41<00:14, 183.4kit/s]

75.3%┣███████████████████████████         ┫ 7.5M/10.0M [00:41<00:13, 183.4kit/s]

75.4%┣███████████████████████████▏        ┫ 7.5M/10.0M [00:41<00:13, 183.4kit/s]

75.5%┣███████████████████████████▏        ┫ 7.5M/10.0M [00:41<00:13, 183.4kit/s]

75.6%┣███████████████████████████▏        ┫ 7.6M/10.0M [00:41<00:13, 183.5kit/s]

75.7%┣███████████████████████████▎        ┫ 7.6M/10.0M [00:41<00:13, 183.5kit/s]

75.8%┣███████████████████████████▎        ┫ 7.6M/10.0M [00:41<00:13, 183.5kit/s]

75.9%┣███████████████████████████▎        ┫ 7.6M/10.0M [00:41<00:13, 183.5kit/s]

76.0%┣███████████████████████████▍        ┫ 7.6M/10.0M [00:41<00:13, 183.5kit/s]

76.1%┣███████████████████████████▍        ┫ 7.6M/10.0M [00:41<00:13, 183.6kit/s]

76.2%┣███████████████████████████▍        ┫ 7.6M/10.0M [00:41<00:13, 183.6kit/s]

76.3%┣███████████████████████████▌        ┫ 7.6M/10.0M [00:42<00:13, 183.6kit/s]

76.4%┣███████████████████████████▌        ┫ 7.6M/10.0M [00:42<00:13, 183.6kit/s]

76.5%┣███████████████████████████▌        ┫ 7.6M/10.0M [00:42<00:13, 183.6kit/s]

76.6%┣███████████████████████████▋        ┫ 7.7M/10.0M [00:42<00:13, 183.6kit/s]

76.7%┣███████████████████████████▋        ┫ 7.7M/10.0M [00:42<00:13, 183.7kit/s]

76.8%┣███████████████████████████▋        ┫ 7.7M/10.0M [00:42<00:13, 183.7kit/s]

76.9%┣███████████████████████████▊        ┫ 7.7M/10.0M [00:42<00:13, 183.7kit/s]

77.0%┣███████████████████████████▊        ┫ 7.7M/10.0M [00:42<00:13, 183.7kit/s]

77.1%┣███████████████████████████▊        ┫ 7.7M/10.0M [00:42<00:12, 183.7kit/s]

77.2%┣███████████████████████████▉        ┫ 7.7M/10.0M [00:42<00:12, 183.8kit/s]

77.3%┣███████████████████████████▉        ┫ 7.7M/10.0M [00:42<00:12, 183.8kit/s]

77.4%┣███████████████████████████▉        ┫ 7.7M/10.0M [00:42<00:12, 183.8kit/s]

77.5%┣███████████████████████████▉        ┫ 7.7M/10.0M [00:42<00:12, 183.8kit/s]

77.6%┣████████████████████████████        ┫ 7.8M/10.0M [00:42<00:12, 183.8kit/s]

77.7%┣████████████████████████████        ┫ 7.8M/10.0M [00:42<00:12, 183.8kit/s]

77.8%┣████████████████████████████        ┫ 7.8M/10.0M [00:42<00:12, 183.8kit/s]

77.9%┣████████████████████████████        ┫ 7.8M/10.0M [00:42<00:12, 183.9kit/s]

78.0%┣████████████████████████████        ┫ 7.8M/10.0M [00:42<00:12, 183.9kit/s]

78.1%┣████████████████████████████        ┫ 7.8M/10.0M [00:42<00:12, 183.9kit/s]

78.2%┣████████████████████████████▏       ┫ 7.8M/10.0M [00:43<00:12, 183.9kit/s]

78.3%┣████████████████████████████▏       ┫ 7.8M/10.0M [00:43<00:12, 183.9kit/s]

78.4%┣████████████████████████████▏       ┫ 7.8M/10.0M [00:43<00:12, 184.0kit/s]

78.5%┣████████████████████████████▎       ┫ 7.8M/10.0M [00:43<00:12, 184.0kit/s]

78.6%┣████████████████████████████▎       ┫ 7.9M/10.0M [00:43<00:12, 184.0kit/s]

78.7%┣████████████████████████████▎       ┫ 7.9M/10.0M [00:43<00:12, 184.0kit/s]

78.8%┣████████████████████████████▍       ┫ 7.9M/10.0M [00:43<00:12, 184.0kit/s]

78.9%┣████████████████████████████▍       ┫ 7.9M/10.0M [00:43<00:11, 184.1kit/s]

79.0%┣████████████████████████████▍       ┫ 7.9M/10.0M [00:43<00:11, 184.1kit/s]

79.1%┣████████████████████████████▌       ┫ 7.9M/10.0M [00:43<00:11, 184.1kit/s]

79.2%┣████████████████████████████▌       ┫ 7.9M/10.0M [00:43<00:11, 184.1kit/s]

79.3%┣████████████████████████████▌       ┫ 7.9M/10.0M [00:43<00:11, 184.1kit/s]

79.4%┣████████████████████████████▋       ┫ 7.9M/10.0M [00:43<00:11, 184.2kit/s]

79.5%┣████████████████████████████▋       ┫ 7.9M/10.0M [00:43<00:11, 184.2kit/s]

79.6%┣████████████████████████████▋       ┫ 8.0M/10.0M [00:43<00:11, 184.2kit/s]

79.7%┣████████████████████████████▊       ┫ 8.0M/10.0M [00:43<00:11, 184.2kit/s]

79.8%┣████████████████████████████▊       ┫ 8.0M/10.0M [00:43<00:11, 184.2kit/s]

79.9%┣████████████████████████████▊       ┫ 8.0M/10.0M [00:43<00:11, 184.2kit/s]

79.9%┣████████████████████████████▉       ┫ 8.0M/10.0M [00:43<00:11, 184.2kit/s]

80.0%┣████████████████████████████▉       ┫ 8.0M/10.0M [00:43<00:11, 184.2kit/s]

80.1%┣████████████████████████████▉       ┫ 8.0M/10.0M [00:44<00:11, 184.2kit/s]

80.2%┣████████████████████████████▉       ┫ 8.0M/10.0M [00:44<00:11, 184.2kit/s]

80.3%┣█████████████████████████████       ┫ 8.0M/10.0M [00:44<00:11, 184.2kit/s]

80.4%┣█████████████████████████████       ┫ 8.0M/10.0M [00:44<00:11, 184.2kit/s]

80.5%┣█████████████████████████████       ┫ 8.1M/10.0M [00:44<00:11, 184.2kit/s]

80.6%┣█████████████████████████████       ┫ 8.1M/10.0M [00:44<00:11, 184.2kit/s]

80.7%┣█████████████████████████████       ┫ 8.1M/10.0M [00:44<00:10, 184.2kit/s]

80.8%┣█████████████████████████████       ┫ 8.1M/10.0M [00:44<00:10, 184.3kit/s]

80.9%┣█████████████████████████████▏      ┫ 8.1M/10.0M [00:44<00:10, 184.3kit/s]

81.0%┣█████████████████████████████▏      ┫ 8.1M/10.0M [00:44<00:10, 184.3kit/s]

81.1%┣█████████████████████████████▏      ┫ 8.1M/10.0M [00:44<00:10, 184.3kit/s]

81.2%┣█████████████████████████████▎      ┫ 8.1M/10.0M [00:44<00:10, 184.3kit/s]

81.3%┣█████████████████████████████▎      ┫ 8.1M/10.0M [00:44<00:10, 184.3kit/s]

81.4%┣█████████████████████████████▎      ┫ 8.1M/10.0M [00:44<00:10, 184.3kit/s]

81.5%┣█████████████████████████████▍      ┫ 8.2M/10.0M [00:44<00:10, 184.4kit/s]

81.6%┣█████████████████████████████▍      ┫ 8.2M/10.0M [00:44<00:10, 184.4kit/s]

81.7%┣█████████████████████████████▍      ┫ 8.2M/10.0M [00:44<00:10, 184.4kit/s]

81.9%┣█████████████████████████████▌      ┫ 8.2M/10.0M [00:44<00:10, 184.4kit/s]

82.0%┣█████████████████████████████▌      ┫ 8.2M/10.0M [00:44<00:10, 184.5kit/s]

82.1%┣█████████████████████████████▌      ┫ 8.2M/10.0M [00:44<00:10, 184.5kit/s]

82.2%┣█████████████████████████████▋      ┫ 8.2M/10.0M [00:45<00:10, 184.5kit/s]

82.2%┣█████████████████████████████▋      ┫ 8.2M/10.0M [00:45<00:10, 184.5kit/s]

82.4%┣█████████████████████████████▋      ┫ 8.2M/10.0M [00:45<00:10, 184.5kit/s]

82.5%┣█████████████████████████████▊      ┫ 8.2M/10.0M [00:45<00:10, 184.5kit/s]

82.6%┣█████████████████████████████▊      ┫ 8.3M/10.0M [00:45<00:09, 184.6kit/s]

82.7%┣█████████████████████████████▊      ┫ 8.3M/10.0M [00:45<00:09, 184.6kit/s]

82.8%┣█████████████████████████████▉      ┫ 8.3M/10.0M [00:45<00:09, 184.6kit/s]

82.9%┣█████████████████████████████▉      ┫ 8.3M/10.0M [00:45<00:09, 184.6kit/s]

83.0%┣█████████████████████████████▉      ┫ 8.3M/10.0M [00:45<00:09, 184.6kit/s]

83.1%┣██████████████████████████████      ┫ 8.3M/10.0M [00:45<00:09, 184.6kit/s]

83.2%┣██████████████████████████████      ┫ 8.3M/10.0M [00:45<00:09, 184.6kit/s]

83.2%┣██████████████████████████████      ┫ 8.3M/10.0M [00:45<00:09, 184.6kit/s]

83.3%┣██████████████████████████████      ┫ 8.3M/10.0M [00:45<00:09, 184.6kit/s]

83.4%┣██████████████████████████████      ┫ 8.3M/10.0M [00:45<00:09, 184.6kit/s]

83.5%┣██████████████████████████████      ┫ 8.4M/10.0M [00:45<00:09, 184.6kit/s]

83.6%┣██████████████████████████████      ┫ 8.4M/10.0M [00:45<00:09, 184.6kit/s]

83.7%┣██████████████████████████████▏     ┫ 8.4M/10.0M [00:45<00:09, 184.7kit/s]

83.8%┣██████████████████████████████▏     ┫ 8.4M/10.0M [00:45<00:09, 184.7kit/s]

83.9%┣██████████████████████████████▏     ┫ 8.4M/10.0M [00:45<00:09, 184.7kit/s]

84.0%┣██████████████████████████████▎     ┫ 8.4M/10.0M [00:45<00:09, 184.7kit/s]

84.1%┣██████████████████████████████▎     ┫ 8.4M/10.0M [00:46<00:09, 184.7kit/s]

84.2%┣██████████████████████████████▎     ┫ 8.4M/10.0M [00:46<00:09, 184.8kit/s]

84.3%┣██████████████████████████████▍     ┫ 8.4M/10.0M [00:46<00:08, 184.8kit/s]

84.4%┣██████████████████████████████▍     ┫ 8.4M/10.0M [00:46<00:08, 184.8kit/s]

84.5%┣██████████████████████████████▍     ┫ 8.5M/10.0M [00:46<00:08, 184.8kit/s]

84.6%┣██████████████████████████████▌     ┫ 8.5M/10.0M [00:46<00:08, 184.8kit/s]

84.7%┣██████████████████████████████▌     ┫ 8.5M/10.0M [00:46<00:08, 184.8kit/s]

84.8%┣██████████████████████████████▌     ┫ 8.5M/10.0M [00:46<00:08, 184.9kit/s]

84.9%┣██████████████████████████████▋     ┫ 8.5M/10.0M [00:46<00:08, 184.9kit/s]

85.0%┣██████████████████████████████▋     ┫ 8.5M/10.0M [00:46<00:08, 184.9kit/s]

85.1%┣██████████████████████████████▋     ┫ 8.5M/10.0M [00:46<00:08, 184.9kit/s]

85.3%┣██████████████████████████████▊     ┫ 8.5M/10.0M [00:46<00:08, 185.0kit/s]

85.4%┣██████████████████████████████▊     ┫ 8.5M/10.0M [00:46<00:08, 185.0kit/s]

85.4%┣██████████████████████████████▊     ┫ 8.5M/10.0M [00:46<00:08, 185.0kit/s]

85.6%┣██████████████████████████████▉     ┫ 8.6M/10.0M [00:46<00:08, 185.0kit/s]

85.7%┣██████████████████████████████▉     ┫ 8.6M/10.0M [00:46<00:08, 185.0kit/s]

85.8%┣██████████████████████████████▉     ┫ 8.6M/10.0M [00:46<00:08, 185.1kit/s]

85.9%┣███████████████████████████████     ┫ 8.6M/10.0M [00:46<00:08, 185.1kit/s]

86.0%┣███████████████████████████████     ┫ 8.6M/10.0M [00:46<00:08, 185.1kit/s]

86.1%┣███████████████████████████████     ┫ 8.6M/10.0M [00:46<00:08, 185.2kit/s]

86.2%┣███████████████████████████████     ┫ 8.6M/10.0M [00:47<00:07, 185.2kit/s]

86.3%┣███████████████████████████████     ┫ 8.6M/10.0M [00:47<00:07, 185.2kit/s]

86.4%┣███████████████████████████████     ┫ 8.6M/10.0M [00:47<00:07, 185.2kit/s]

86.5%┣███████████████████████████████▏    ┫ 8.6M/10.0M [00:47<00:07, 185.2kit/s]

86.6%┣███████████████████████████████▏    ┫ 8.7M/10.0M [00:47<00:07, 185.3kit/s]

86.7%┣███████████████████████████████▏    ┫ 8.7M/10.0M [00:47<00:07, 185.3kit/s]

86.8%┣███████████████████████████████▎    ┫ 8.7M/10.0M [00:47<00:07, 185.3kit/s]

86.9%┣███████████████████████████████▎    ┫ 8.7M/10.0M [00:47<00:07, 185.3kit/s]

87.0%┣███████████████████████████████▎    ┫ 8.7M/10.0M [00:47<00:07, 185.4kit/s]

87.1%┣███████████████████████████████▍    ┫ 8.7M/10.0M [00:47<00:07, 185.4kit/s]

87.2%┣███████████████████████████████▍    ┫ 8.7M/10.0M [00:47<00:07, 185.4kit/s]

87.3%┣███████████████████████████████▍    ┫ 8.7M/10.0M [00:47<00:07, 185.4kit/s]

87.4%┣███████████████████████████████▌    ┫ 8.7M/10.0M [00:47<00:07, 185.4kit/s]

87.6%┣███████████████████████████████▌    ┫ 8.8M/10.0M [00:47<00:07, 185.5kit/s]

87.6%┣███████████████████████████████▌    ┫ 8.8M/10.0M [00:47<00:07, 185.5kit/s]

87.7%┣███████████████████████████████▋    ┫ 8.8M/10.0M [00:47<00:07, 185.5kit/s]

87.8%┣███████████████████████████████▋    ┫ 8.8M/10.0M [00:47<00:07, 185.5kit/s]

87.9%┣███████████████████████████████▋    ┫ 8.8M/10.0M [00:47<00:06, 185.5kit/s]

88.0%┣███████████████████████████████▊    ┫ 8.8M/10.0M [00:47<00:06, 185.5kit/s]

88.1%┣███████████████████████████████▊    ┫ 8.8M/10.0M [00:48<00:06, 185.5kit/s]

88.2%┣███████████████████████████████▊    ┫ 8.8M/10.0M [00:48<00:06, 185.5kit/s]

88.3%┣███████████████████████████████▉    ┫ 8.8M/10.0M [00:48<00:06, 185.5kit/s]

88.4%┣███████████████████████████████▉    ┫ 8.8M/10.0M [00:48<00:06, 185.6kit/s]

88.5%┣███████████████████████████████▉    ┫ 8.9M/10.0M [00:48<00:06, 185.6kit/s]

88.6%┣████████████████████████████████    ┫ 8.9M/10.0M [00:48<00:06, 185.6kit/s]

88.7%┣████████████████████████████████    ┫ 8.9M/10.0M [00:48<00:06, 185.6kit/s]

88.8%┣████████████████████████████████    ┫ 8.9M/10.0M [00:48<00:06, 185.6kit/s]

88.9%┣████████████████████████████████    ┫ 8.9M/10.0M [00:48<00:06, 185.6kit/s]

89.0%┣████████████████████████████████    ┫ 8.9M/10.0M [00:48<00:06, 185.6kit/s]

89.1%┣████████████████████████████████    ┫ 8.9M/10.0M [00:48<00:06, 185.6kit/s]

89.2%┣████████████████████████████████▏   ┫ 8.9M/10.0M [00:48<00:06, 185.6kit/s]

89.3%┣████████████████████████████████▏   ┫ 8.9M/10.0M [00:48<00:06, 185.6kit/s]

89.4%┣████████████████████████████████▏   ┫ 8.9M/10.0M [00:48<00:06, 185.6kit/s]

89.5%┣████████████████████████████████▏   ┫ 8.9M/10.0M [00:48<00:06, 185.6kit/s]

89.6%┣████████████████████████████████▎   ┫ 9.0M/10.0M [00:48<00:06, 185.6kit/s]

89.7%┣████████████████████████████████▎   ┫ 9.0M/10.0M [00:48<00:06, 185.6kit/s]

89.8%┣████████████████████████████████▎   ┫ 9.0M/10.0M [00:48<00:06, 185.6kit/s]

89.9%┣████████████████████████████████▍   ┫ 9.0M/10.0M [00:48<00:05, 185.6kit/s]

90.0%┣████████████████████████████████▍   ┫ 9.0M/10.0M [00:48<00:05, 185.6kit/s]

90.1%┣████████████████████████████████▍   ┫ 9.0M/10.0M [00:49<00:05, 185.6kit/s]

90.2%┣████████████████████████████████▌   ┫ 9.0M/10.0M [00:49<00:05, 185.6kit/s]

90.3%┣████████████████████████████████▌   ┫ 9.0M/10.0M [00:49<00:05, 185.6kit/s]

90.3%┣████████████████████████████████▌   ┫ 9.0M/10.0M [00:49<00:05, 185.6kit/s]

90.5%┣████████████████████████████████▋   ┫ 9.0M/10.0M [00:49<00:05, 185.7kit/s]

90.5%┣████████████████████████████████▋   ┫ 9.1M/10.0M [00:49<00:05, 185.7kit/s]

90.6%┣████████████████████████████████▋   ┫ 9.1M/10.0M [00:49<00:05, 185.7kit/s]

90.7%┣████████████████████████████████▊   ┫ 9.1M/10.0M [00:49<00:05, 185.7kit/s]

90.8%┣████████████████████████████████▊   ┫ 9.1M/10.0M [00:49<00:05, 185.7kit/s]

90.9%┣████████████████████████████████▊   ┫ 9.1M/10.0M [00:49<00:05, 185.7kit/s]

91.0%┣████████████████████████████████▊   ┫ 9.1M/10.0M [00:49<00:05, 185.7kit/s]

91.1%┣████████████████████████████████▉   ┫ 9.1M/10.0M [00:49<00:05, 185.7kit/s]

91.2%┣████████████████████████████████▉   ┫ 9.1M/10.0M [00:49<00:05, 185.7kit/s]

91.3%┣████████████████████████████████▉   ┫ 9.1M/10.0M [00:49<00:05, 185.7kit/s]

91.4%┣█████████████████████████████████   ┫ 9.1M/10.0M [00:49<00:05, 185.7kit/s]

91.5%┣█████████████████████████████████   ┫ 9.1M/10.0M [00:49<00:05, 185.7kit/s]

91.6%┣█████████████████████████████████   ┫ 9.2M/10.0M [00:49<00:05, 185.7kit/s]

91.7%┣█████████████████████████████████   ┫ 9.2M/10.0M [00:49<00:04, 185.7kit/s]

91.8%┣█████████████████████████████████   ┫ 9.2M/10.0M [00:49<00:04, 185.7kit/s]

91.9%┣█████████████████████████████████   ┫ 9.2M/10.0M [00:49<00:04, 185.7kit/s]

92.0%┣█████████████████████████████████   ┫ 9.2M/10.0M [00:50<00:04, 185.7kit/s]

92.0%┣█████████████████████████████████▏  ┫ 9.2M/10.0M [00:50<00:04, 185.7kit/s]

92.1%┣█████████████████████████████████▏  ┫ 9.2M/10.0M [00:50<00:04, 185.7kit/s]

92.2%┣█████████████████████████████████▏  ┫ 9.2M/10.0M [00:50<00:04, 185.7kit/s]

92.3%┣█████████████████████████████████▎  ┫ 9.2M/10.0M [00:50<00:04, 185.7kit/s]

92.4%┣█████████████████████████████████▎  ┫ 9.2M/10.0M [00:50<00:04, 185.7kit/s]

92.5%┣█████████████████████████████████▎  ┫ 9.3M/10.0M [00:50<00:04, 185.7kit/s]

92.6%┣█████████████████████████████████▍  ┫ 9.3M/10.0M [00:50<00:04, 185.7kit/s]

92.7%┣█████████████████████████████████▍  ┫ 9.3M/10.0M [00:50<00:04, 185.7kit/s]

92.8%┣█████████████████████████████████▍  ┫ 9.3M/10.0M [00:50<00:04, 185.7kit/s]

92.9%┣█████████████████████████████████▍  ┫ 9.3M/10.0M [00:50<00:04, 185.7kit/s]

93.0%┣█████████████████████████████████▌  ┫ 9.3M/10.0M [00:50<00:04, 185.7kit/s]

93.1%┣█████████████████████████████████▌  ┫ 9.3M/10.0M [00:50<00:04, 185.7kit/s]

93.2%┣█████████████████████████████████▌  ┫ 9.3M/10.0M [00:50<00:04, 185.7kit/s]

93.3%┣█████████████████████████████████▋  ┫ 9.3M/10.0M [00:50<00:04, 185.6kit/s]

93.3%┣█████████████████████████████████▋  ┫ 9.3M/10.0M [00:50<00:04, 185.6kit/s]

93.4%┣█████████████████████████████████▋  ┫ 9.3M/10.0M [00:50<00:04, 185.7kit/s]

93.5%┣█████████████████████████████████▊  ┫ 9.4M/10.0M [00:50<00:03, 185.7kit/s]

93.7%┣█████████████████████████████████▊  ┫ 9.4M/10.0M [00:50<00:03, 185.7kit/s]

93.8%┣█████████████████████████████████▊  ┫ 9.4M/10.0M [00:50<00:03, 185.7kit/s]

93.9%┣█████████████████████████████████▉  ┫ 9.4M/10.0M [00:51<00:03, 185.7kit/s]

94.0%┣█████████████████████████████████▉  ┫ 9.4M/10.0M [00:51<00:03, 185.7kit/s]

94.1%┣█████████████████████████████████▉  ┫ 9.4M/10.0M [00:51<00:03, 185.8kit/s]

94.2%┣██████████████████████████████████  ┫ 9.4M/10.0M [00:51<00:03, 185.8kit/s]

94.3%┣██████████████████████████████████  ┫ 9.4M/10.0M [00:51<00:03, 185.8kit/s]

94.4%┣██████████████████████████████████  ┫ 9.4M/10.0M [00:51<00:03, 185.8kit/s]

94.5%┣██████████████████████████████████  ┫ 9.4M/10.0M [00:51<00:03, 185.8kit/s]

94.5%┣██████████████████████████████████  ┫ 9.5M/10.0M [00:51<00:03, 185.8kit/s]

94.7%┣██████████████████████████████████  ┫ 9.5M/10.0M [00:51<00:03, 185.8kit/s]

94.7%┣██████████████████████████████████  ┫ 9.5M/10.0M [00:51<00:03, 185.8kit/s]

94.8%┣██████████████████████████████████▏ ┫ 9.5M/10.0M [00:51<00:03, 185.8kit/s]

95.0%┣██████████████████████████████████▏ ┫ 9.5M/10.0M [00:51<00:03, 185.8kit/s]

95.0%┣██████████████████████████████████▏ ┫ 9.5M/10.0M [00:51<00:03, 185.8kit/s]

95.2%┣██████████████████████████████████▎ ┫ 9.5M/10.0M [00:51<00:03, 185.9kit/s]

95.2%┣██████████████████████████████████▎ ┫ 9.5M/10.0M [00:51<00:03, 185.9kit/s]

95.3%┣██████████████████████████████████▎ ┫ 9.5M/10.0M [00:51<00:03, 185.9kit/s]

95.4%┣██████████████████████████████████▍ ┫ 9.5M/10.0M [00:51<00:02, 185.9kit/s]

95.5%┣██████████████████████████████████▍ ┫ 9.6M/10.0M [00:51<00:02, 185.9kit/s]

95.6%┣██████████████████████████████████▍ ┫ 9.6M/10.0M [00:51<00:02, 185.9kit/s]

95.7%┣██████████████████████████████████▌ ┫ 9.6M/10.0M [00:51<00:02, 185.9kit/s]

95.8%┣██████████████████████████████████▌ ┫ 9.6M/10.0M [00:52<00:02, 185.9kit/s]

95.9%┣██████████████████████████████████▌ ┫ 9.6M/10.0M [00:52<00:02, 185.9kit/s]

96.0%┣██████████████████████████████████▋ ┫ 9.6M/10.0M [00:52<00:02, 185.9kit/s]

96.1%┣██████████████████████████████████▋ ┫ 9.6M/10.0M [00:52<00:02, 185.9kit/s]

96.2%┣██████████████████████████████████▋ ┫ 9.6M/10.0M [00:52<00:02, 185.9kit/s]

96.3%┣██████████████████████████████████▊ ┫ 9.6M/10.0M [00:52<00:02, 185.9kit/s]

96.4%┣██████████████████████████████████▊ ┫ 9.6M/10.0M [00:52<00:02, 185.9kit/s]

96.5%┣██████████████████████████████████▊ ┫ 9.7M/10.0M [00:52<00:02, 185.9kit/s]

96.6%┣██████████████████████████████████▉ ┫ 9.7M/10.0M [00:52<00:02, 186.0kit/s]

96.7%┣██████████████████████████████████▉ ┫ 9.7M/10.0M [00:52<00:02, 186.0kit/s]

96.8%┣██████████████████████████████████▉ ┫ 9.7M/10.0M [00:52<00:02, 186.0kit/s]

96.9%┣██████████████████████████████████▉ ┫ 9.7M/10.0M [00:52<00:02, 186.0kit/s]

97.0%┣███████████████████████████████████ ┫ 9.7M/10.0M [00:52<00:02, 186.0kit/s]

97.1%┣███████████████████████████████████ ┫ 9.7M/10.0M [00:52<00:02, 186.0kit/s]

97.2%┣███████████████████████████████████ ┫ 9.7M/10.0M [00:52<00:01, 186.0kit/s]

97.3%┣███████████████████████████████████ ┫ 9.7M/10.0M [00:52<00:01, 186.0kit/s]

97.4%┣███████████████████████████████████ ┫ 9.7M/10.0M [00:52<00:01, 186.0kit/s]

97.5%┣███████████████████████████████████ ┫ 9.8M/10.0M [00:52<00:01, 186.0kit/s]

97.6%┣███████████████████████████████████▏┫ 9.8M/10.0M [00:52<00:01, 186.1kit/s]

97.7%┣███████████████████████████████████▏┫ 9.8M/10.0M [00:53<00:01, 186.1kit/s]

97.8%┣███████████████████████████████████▏┫ 9.8M/10.0M [00:53<00:01, 186.1kit/s]

97.9%┣███████████████████████████████████▎┫ 9.8M/10.0M [00:53<00:01, 186.1kit/s]

98.0%┣███████████████████████████████████▎┫ 9.8M/10.0M [00:53<00:01, 186.1kit/s]

98.1%┣███████████████████████████████████▎┫ 9.8M/10.0M [00:53<00:01, 186.1kit/s]

98.2%┣███████████████████████████████████▍┫ 9.8M/10.0M [00:53<00:01, 186.1kit/s]

98.3%┣███████████████████████████████████▍┫ 9.8M/10.0M [00:53<00:01, 186.1kit/s]

98.4%┣███████████████████████████████████▍┫ 9.8M/10.0M [00:53<00:01, 186.2kit/s]

98.5%┣███████████████████████████████████▌┫ 9.9M/10.0M [00:53<00:01, 186.2kit/s]

98.6%┣███████████████████████████████████▌┫ 9.9M/10.0M [00:53<00:01, 186.2kit/s]

98.7%┣███████████████████████████████████▌┫ 9.9M/10.0M [00:53<00:01, 186.1kit/s]

98.8%┣███████████████████████████████████▋┫ 9.9M/10.0M [00:53<00:01, 186.2kit/s]

98.9%┣███████████████████████████████████▋┫ 9.9M/10.0M [00:53<00:01, 186.1kit/s]

99.0%┣███████████████████████████████████▋┫ 9.9M/10.0M [00:53<00:01, 186.2kit/s]

99.1%┣███████████████████████████████████▊┫ 9.9M/10.0M [00:53<00:00, 186.2kit/s]

99.2%┣███████████████████████████████████▊┫ 9.9M/10.0M [00:53<00:00, 186.2kit/s]

99.3%┣███████████████████████████████████▊┫ 9.9M/10.0M [00:53<00:00, 186.2kit/s]

99.4%┣███████████████████████████████████▉┫ 9.9M/10.0M [00:53<00:00, 186.2kit/s]

99.5%┣███████████████████████████████████▉┫ 9.9M/10.0M [00:53<00:00, 186.2kit/s]

99.6%┣██████████████████████████████████▉┫ 10.0M/10.0M [00:53<00:00, 186.2kit/s]

99.7%┣███████████████████████████████████┫ 10.0M/10.0M [00:54<00:00, 186.2kit/s]

99.8%┣███████████████████████████████████┫ 10.0M/10.0M [00:54<00:00, 186.2kit/s]

99.9%┣███████████████████████████████████┫ 10.0M/10.0M [00:54<00:00, 186.2kit/s]

100.0%┣██████████████████████████████████┫ 10.0M/10.0M [00:54<00:00, 186.3kit/s]

100.0%┣██████████████████████████████████┫ 10.0M/10.0M [00:54<00:00, 186.3kit/s]
(Ecm, res.cs0 / ((pi ^ 2 * Ecm ^ 2) / 8.0)) = (20.0, [1.0001709969618484])

0.0%┣                                        ┫ 1/10.0M [00:00<Inf:Inf, InfGs/it]

0.1%┣                                      ┫ 6.7k/10.0M [00:00<04:17, 38.9kit/s]

0.1%┣                                     ┫ 13.1k/10.0M [00:00<02:51, 58.4kit/s]

0.2%┣                                     ┫ 19.1k/10.0M [00:00<02:24, 69.5kit/s]

0.3%┣                                     ┫ 25.1k/10.0M [00:00<02:09, 77.3kit/s]

0.3%┣▏                                    ┫ 30.9k/10.0M [00:00<02:01, 82.3kit/s]

0.4%┣▏                                    ┫ 36.7k/10.0M [00:00<01:56, 86.1kit/s]

0.4%┣▏                                    ┫ 42.7k/10.0M [00:00<01:51, 89.5kit/s]

0.5%┣▏                                    ┫ 48.8k/10.0M [00:01<01:48, 92.5kit/s]

0.5%┣▏                                    ┫ 51.4k/10.0M [00:01<02:06, 78.7kit/s]

0.6%┣▎                                    ┫ 60.1k/10.0M [00:01<01:56, 85.4kit/s]

0.7%┣▎                                    ┫ 68.0k/10.0M [00:01<01:50, 90.1kit/s]

0.8%┣▎                                    ┫ 76.0k/10.0M [00:01<01:45, 94.4kit/s]

0.8%┣▎                                    ┫ 82.4k/10.0M [00:01<01:43, 96.4kit/s]

0.9%┣▎                                    ┫ 88.8k/10.0M [00:01<01:41, 98.0kit/s]

1.0%┣▍                                    ┫ 95.0k/10.0M [00:01<01:40, 99.4kit/s]

1.0%┣▍                                  ┫ 101.3k/10.0M [00:01<01:38, 100.6kit/s]

1.1%┣▍                                  ┫ 107.4k/10.0M [00:01<01:37, 101.6kit/s]

1.1%┣▍                                  ┫ 113.2k/10.0M [00:01<01:37, 102.2kit/s]

1.2%┣▍                                   ┫ 115.1k/10.0M [00:01<01:55, 85.9kit/s]

1.2%┣▌                                   ┫ 123.5k/10.0M [00:01<01:51, 88.9kit/s]

1.3%┣▌                                   ┫ 131.8k/10.0M [00:01<01:48, 91.5kit/s]

1.4%┣▌                                   ┫ 139.3k/10.0M [00:01<01:45, 93.5kit/s]

1.5%┣▌                                   ┫ 145.4k/10.0M [00:02<01:44, 94.4kit/s]

1.5%┣▌                                   ┫ 151.0k/10.0M [00:02<01:44, 94.9kit/s]

1.6%┣▋                                   ┫ 157.2k/10.0M [00:02<01:43, 95.8kit/s]

1.6%┣▋                                   ┫ 163.4k/10.0M [00:02<01:42, 96.6kit/s]

1.7%┣▋                                   ┫ 169.5k/10.0M [00:02<01:41, 97.4kit/s]

1.7%┣▋                                   ┫ 170.2k/10.0M [00:02<02:23, 68.8kit/s]

1.8%┣▋                                   ┫ 179.0k/10.0M [00:03<02:19, 70.9kit/s]

1.9%┣▊                                   ┫ 187.8k/10.0M [00:03<02:15, 72.9kit/s]

2.0%┣▊                                   ┫ 196.9k/10.0M [00:03<02:11, 75.0kit/s]

2.1%┣▊                                   ┫ 205.7k/10.0M [00:03<02:07, 76.9kit/s]

2.1%┣▊                                   ┫ 212.5k/10.0M [00:03<02:06, 77.9kit/s]

2.2%┣▉                                   ┫ 219.4k/10.0M [00:03<02:04, 79.0kit/s]

2.3%┣▉                                   ┫ 225.7k/10.0M [00:03<02:02, 79.8kit/s]

2.3%┣▉                                   ┫ 231.8k/10.0M [00:03<02:01, 80.5kit/s]

2.4%┣▉                                   ┫ 237.7k/10.0M [00:03<02:00, 81.2kit/s]

2.4%┣▉                                   ┫ 243.8k/10.0M [00:03<01:59, 81.8kit/s]

2.5%┣█                                   ┫ 249.8k/10.0M [00:03<01:58, 82.4kit/s]

2.6%┣█                                   ┫ 255.7k/10.0M [00:03<01:57, 83.0kit/s]

2.6%┣█                                   ┫ 261.6k/10.0M [00:03<01:57, 83.6kit/s]

2.7%┣█                                   ┫ 267.5k/10.0M [00:03<01:56, 84.1kit/s]

2.7%┣█                                   ┫ 273.4k/10.0M [00:03<01:55, 84.6kit/s]

2.8%┣█                                   ┫ 279.4k/10.0M [00:03<01:54, 85.1kit/s]

2.9%┣█                                   ┫ 285.0k/10.0M [00:03<01:54, 85.5kit/s]

2.9%┣█                                   ┫ 290.7k/10.0M [00:03<01:53, 85.9kit/s]

3.0%┣█                                   ┫ 296.4k/10.0M [00:03<01:52, 86.3kit/s]

3.0%┣█                                   ┫ 297.8k/10.0M [00:04<01:56, 83.9kit/s]

3.1%┣█                                   ┫ 306.6k/10.0M [00:04<01:54, 85.2kit/s]

3.2%┣█▏                                  ┫ 315.5k/10.0M [00:04<01:52, 86.5kit/s]

3.2%┣█▏                                  ┫ 324.6k/10.0M [00:04<01:50, 87.7kit/s]

3.3%┣█▏                                  ┫ 333.2k/10.0M [00:04<01:49, 88.9kit/s]

3.4%┣█▎                                  ┫ 340.4k/10.0M [00:04<01:48, 89.6kit/s]

3.5%┣█▎                                  ┫ 347.5k/10.0M [00:04<01:47, 90.3kit/s]

3.5%┣█▎                                  ┫ 353.8k/10.0M [00:04<01:46, 90.7kit/s]

3.6%┣█▎                                  ┫ 360.0k/10.0M [00:04<01:46, 91.1kit/s]

3.7%┣█▎                                  ┫ 366.2k/10.0M [00:04<01:45, 91.5kit/s]

3.7%┣█▍                                  ┫ 372.3k/10.0M [00:04<01:45, 91.9kit/s]

3.8%┣█▍                                  ┫ 378.5k/10.0M [00:04<01:44, 92.3kit/s]

3.8%┣█▍                                  ┫ 381.5k/10.0M [00:04<01:45, 91.2kit/s]

3.9%┣█▍                                  ┫ 390.5k/10.0M [00:04<01:44, 92.2kit/s]

4.0%┣█▍                                  ┫ 399.4k/10.0M [00:04<01:43, 93.2kit/s]

4.1%┣█▌                                  ┫ 408.5k/10.0M [00:04<01:42, 94.3kit/s]

4.2%┣█▌                                  ┫ 417.4k/10.0M [00:04<01:41, 95.2kit/s]

4.2%┣█▌                                  ┫ 424.2k/10.0M [00:04<01:40, 95.7kit/s]

4.3%┣█▌                                  ┫ 430.7k/10.0M [00:04<01:40, 96.1kit/s]

4.4%┣█▋                                  ┫ 437.1k/10.0M [00:05<01:39, 96.4kit/s]

4.4%┣█▋                                  ┫ 442.9k/10.0M [00:05<01:39, 96.6kit/s]

4.5%┣█▋                                  ┫ 448.7k/10.0M [00:05<01:39, 96.8kit/s]

4.5%┣█▋                                  ┫ 451.4k/10.0M [00:05<01:40, 95.9kit/s]

4.6%┣█▋                                  ┫ 460.2k/10.0M [00:05<01:39, 96.8kit/s]

4.7%┣█▊                                  ┫ 469.3k/10.0M [00:05<01:38, 97.7kit/s]

4.8%┣█▊                                  ┫ 478.7k/10.0M [00:05<01:37, 98.6kit/s]

4.9%┣█▊                                  ┫ 487.4k/10.0M [00:05<01:36, 99.4kit/s]

4.9%┣█▉                                  ┫ 494.5k/10.0M [00:05<01:35, 99.8kit/s]

5.0%┣█▊                                 ┫ 501.2k/10.0M [00:05<01:35, 100.1kit/s]

5.1%┣█▊                                 ┫ 507.4k/10.0M [00:05<01:35, 100.3kit/s]

5.1%┣█▉                                  ┫ 511.7k/10.0M [00:05<01:35, 99.8kit/s]

5.2%┣█▉                                 ┫ 520.9k/10.0M [00:05<01:34, 100.6kit/s]

5.3%┣█▉                                 ┫ 529.7k/10.0M [00:05<01:33, 101.4kit/s]

5.4%┣█▉                                 ┫ 538.9k/10.0M [00:05<01:33, 102.1kit/s]

5.5%┣██                                 ┫ 547.9k/10.0M [00:05<01:32, 102.9kit/s]

5.6%┣██                                 ┫ 555.2k/10.0M [00:05<01:31, 103.3kit/s]

5.6%┣██                                 ┫ 562.0k/10.0M [00:05<01:31, 103.6kit/s]

5.7%┣██                                 ┫ 565.0k/10.0M [00:05<01:32, 103.1kit/s]

5.7%┣██                                 ┫ 573.5k/10.0M [00:06<01:31, 103.7kit/s]

5.8%┣██                                 ┫ 582.5k/10.0M [00:06<01:30, 104.3kit/s]

5.9%┣██                                 ┫ 591.8k/10.0M [00:06<01:30, 105.1kit/s]

6.0%┣██                                 ┫ 599.8k/10.0M [00:06<01:29, 105.6kit/s]

6.1%┣██▏                                ┫ 606.7k/10.0M [00:06<01:29, 105.8kit/s]

6.1%┣██▏                                ┫ 611.2k/10.0M [00:06<01:29, 105.6kit/s]

6.2%┣██▏                                ┫ 620.6k/10.0M [00:06<01:28, 106.3kit/s]

6.3%┣██▏                                ┫ 629.1k/10.0M [00:06<01:28, 106.9kit/s]

6.4%┣██▎                                ┫ 637.9k/10.0M [00:06<01:27, 107.5kit/s]

6.5%┣██▎                                ┫ 646.6k/10.0M [00:06<01:27, 108.0kit/s]

6.5%┣██▎                                ┫ 651.8k/10.0M [00:06<01:27, 108.0kit/s]

6.6%┣██▎                                ┫ 660.6k/10.0M [00:06<01:26, 108.5kit/s]

6.7%┣██▍                                ┫ 669.2k/10.0M [00:06<01:26, 109.0kit/s]

6.8%┣██▍                                ┫ 678.1k/10.0M [00:06<01:25, 109.6kit/s]

6.8%┣██▍                                ┫ 684.7k/10.0M [00:06<01:25, 109.8kit/s]

6.9%┣██▍                                ┫ 693.5k/10.0M [00:06<01:24, 110.3kit/s]

7.0%┣██▌                                ┫ 701.1k/10.0M [00:06<01:24, 110.6kit/s]

7.1%┣██▌                                ┫ 708.3k/10.0M [00:06<01:24, 110.9kit/s]

7.1%┣██▌                                ┫ 714.8k/10.0M [00:06<01:24, 111.0kit/s]

7.2%┣██▌                                ┫ 723.5k/10.0M [00:06<01:23, 111.5kit/s]

7.3%┣██▋                                ┫ 732.0k/10.0M [00:07<01:23, 112.0kit/s]

7.4%┣██▋                                ┫ 739.5k/10.0M [00:07<01:22, 112.3kit/s]

7.5%┣██▋                                ┫ 748.4k/10.0M [00:07<01:22, 112.7kit/s]

7.6%┣██▋                                ┫ 755.6k/10.0M [00:07<01:22, 113.0kit/s]

7.6%┣██▊                                ┫ 764.4k/10.0M [00:07<01:21, 113.4kit/s]

7.7%┣██▊                                ┫ 772.9k/10.0M [00:07<01:21, 113.8kit/s]

7.8%┣██▊                                ┫ 781.9k/10.0M [00:07<01:21, 114.2kit/s]

7.9%┣██▊                                ┫ 790.6k/10.0M [00:07<01:20, 114.6kit/s]

8.0%┣██▉                                ┫ 799.6k/10.0M [00:07<01:20, 115.0kit/s]

8.1%┣██▉                                ┫ 808.2k/10.0M [00:07<01:20, 115.4kit/s]

8.2%┣██▉                                ┫ 815.4k/10.0M [00:07<01:19, 115.6kit/s]

8.2%┣██▉                                ┫ 823.9k/10.0M [00:07<01:19, 116.0kit/s]

8.3%┣███                                ┫ 831.6k/10.0M [00:07<01:19, 116.3kit/s]

8.4%┣███                                ┫ 840.9k/10.0M [00:07<01:18, 116.8kit/s]

8.5%┣███                                ┫ 848.6k/10.0M [00:07<01:18, 117.0kit/s]

8.6%┣███                                ┫ 857.6k/10.0M [00:07<01:18, 117.4kit/s]

8.7%┣███                                ┫ 865.2k/10.0M [00:07<01:18, 117.7kit/s]

8.7%┣███                                ┫ 874.5k/10.0M [00:07<01:17, 118.1kit/s]

8.8%┣███                                ┫ 881.6k/10.0M [00:07<01:17, 118.3kit/s]

8.9%┣███▏                               ┫ 891.0k/10.0M [00:08<01:17, 118.7kit/s]

9.0%┣███▏                               ┫ 898.5k/10.0M [00:08<01:17, 119.0kit/s]

9.1%┣███▏                               ┫ 907.8k/10.0M [00:08<01:16, 119.4kit/s]

9.2%┣███▏                               ┫ 915.6k/10.0M [00:08<01:16, 119.6kit/s]

9.2%┣███▎                               ┫ 924.9k/10.0M [00:08<01:16, 120.1kit/s]

9.3%┣███▎                               ┫ 932.5k/10.0M [00:08<01:15, 120.2kit/s]

9.4%┣███▎                               ┫ 941.9k/10.0M [00:08<01:15, 120.7kit/s]

9.5%┣███▎                               ┫ 950.3k/10.0M [00:08<01:15, 120.9kit/s]

9.6%┣███▍                               ┫ 958.5k/10.0M [00:08<01:15, 121.2kit/s]

9.7%┣███▍                               ┫ 967.1k/10.0M [00:08<01:14, 121.5kit/s]

9.7%┣███▍                               ┫ 974.7k/10.0M [00:08<01:14, 121.7kit/s]

9.8%┣███▍                               ┫ 983.8k/10.0M [00:08<01:14, 122.1kit/s]

9.9%┣███▌                               ┫ 991.7k/10.0M [00:08<01:14, 122.3kit/s]

10.0%┣███▋                                ┫ 1.0M/10.0M [00:08<01:13, 122.6kit/s]

10.1%┣███▋                                ┫ 1.0M/10.0M [00:08<01:13, 122.8kit/s]

10.2%┣███▋                                ┫ 1.0M/10.0M [00:08<01:13, 123.2kit/s]

10.2%┣███▊                                ┫ 1.0M/10.0M [00:08<01:13, 123.3kit/s]

10.3%┣███▊                                ┫ 1.0M/10.0M [00:08<01:13, 123.6kit/s]

10.4%┣███▊                                ┫ 1.0M/10.0M [00:08<01:12, 123.7kit/s]

10.5%┣███▊                                ┫ 1.0M/10.0M [00:08<01:12, 124.0kit/s]

10.6%┣███▉                                ┫ 1.1M/10.0M [00:09<01:12, 124.1kit/s]

10.7%┣███▉                                ┫ 1.1M/10.0M [00:09<01:12, 124.3kit/s]

10.7%┣███▉                                ┫ 1.1M/10.0M [00:09<01:12, 124.6kit/s]

10.8%┣████                                ┫ 1.1M/10.0M [00:09<01:12, 124.7kit/s]

10.9%┣████                                ┫ 1.1M/10.0M [00:09<01:11, 125.0kit/s]

11.0%┣████                                ┫ 1.1M/10.0M [00:09<01:11, 125.2kit/s]

11.1%┣████                                ┫ 1.1M/10.0M [00:09<01:11, 125.4kit/s]

11.1%┣████                                ┫ 1.1M/10.0M [00:09<01:11, 125.5kit/s]

11.2%┣████                                ┫ 1.1M/10.0M [00:09<01:11, 125.8kit/s]

11.3%┣████                                ┫ 1.1M/10.0M [00:09<01:10, 125.9kit/s]

11.4%┣████                                ┫ 1.1M/10.0M [00:09<01:10, 126.1kit/s]

11.5%┣████▏                               ┫ 1.1M/10.0M [00:09<01:10, 126.2kit/s]

11.5%┣████▏                               ┫ 1.2M/10.0M [00:09<01:10, 126.5kit/s]

11.6%┣████▏                               ┫ 1.2M/10.0M [00:09<01:10, 126.7kit/s]

11.7%┣████▏                               ┫ 1.2M/10.0M [00:09<01:10, 126.7kit/s]

11.8%┣████▎                               ┫ 1.2M/10.0M [00:09<01:10, 126.9kit/s]

11.8%┣████▎                               ┫ 1.2M/10.0M [00:09<01:09, 126.9kit/s]

11.9%┣████▎                               ┫ 1.2M/10.0M [00:09<01:09, 127.1kit/s]

12.0%┣████▎                               ┫ 1.2M/10.0M [00:09<01:09, 127.2kit/s]

12.1%┣████▍                               ┫ 1.2M/10.0M [00:09<01:09, 127.4kit/s]

12.1%┣████▍                               ┫ 1.2M/10.0M [00:10<01:09, 127.5kit/s]

12.2%┣████▍                               ┫ 1.2M/10.0M [00:10<01:09, 127.6kit/s]

12.3%┣████▍                               ┫ 1.2M/10.0M [00:10<01:09, 127.7kit/s]

12.4%┣████▌                               ┫ 1.2M/10.0M [00:10<01:09, 127.7kit/s]

12.4%┣████▌                               ┫ 1.2M/10.0M [00:10<01:08, 127.9kit/s]

12.5%┣████▌                               ┫ 1.3M/10.0M [00:10<01:08, 128.0kit/s]

12.6%┣████▌                               ┫ 1.3M/10.0M [00:10<01:08, 128.2kit/s]

12.7%┣████▋                               ┫ 1.3M/10.0M [00:10<01:08, 128.4kit/s]

12.8%┣████▋                               ┫ 1.3M/10.0M [00:10<01:08, 128.5kit/s]

12.8%┣████▋                               ┫ 1.3M/10.0M [00:10<01:08, 128.7kit/s]

12.9%┣████▋                               ┫ 1.3M/10.0M [00:10<01:08, 128.7kit/s]

13.0%┣████▊                               ┫ 1.3M/10.0M [00:10<01:08, 128.9kit/s]

13.1%┣████▊                               ┫ 1.3M/10.0M [00:10<01:07, 128.9kit/s]

13.1%┣████▊                               ┫ 1.3M/10.0M [00:10<01:07, 129.1kit/s]

13.2%┣████▊                               ┫ 1.3M/10.0M [00:10<01:07, 129.2kit/s]

13.3%┣████▉                               ┫ 1.3M/10.0M [00:10<01:07, 129.4kit/s]

13.4%┣████▉                               ┫ 1.3M/10.0M [00:10<01:07, 129.5kit/s]

13.5%┣████▉                               ┫ 1.3M/10.0M [00:10<01:07, 129.6kit/s]

13.5%┣████▉                               ┫ 1.4M/10.0M [00:10<01:07, 129.7kit/s]

13.6%┣█████                               ┫ 1.4M/10.0M [00:10<01:07, 129.8kit/s]

13.7%┣█████                               ┫ 1.4M/10.0M [00:11<01:06, 129.9kit/s]

13.8%┣█████                               ┫ 1.4M/10.0M [00:11<01:06, 130.0kit/s]

13.9%┣█████                               ┫ 1.4M/10.0M [00:11<01:06, 130.2kit/s]

13.9%┣█████                               ┫ 1.4M/10.0M [00:11<01:06, 130.3kit/s]

14.0%┣█████                               ┫ 1.4M/10.0M [00:11<01:06, 130.6kit/s]

14.1%┣█████                               ┫ 1.4M/10.0M [00:11<01:06, 131.0kit/s]

14.3%┣█████▏                              ┫ 1.4M/10.0M [00:11<01:05, 131.6kit/s]

14.4%┣█████▏                              ┫ 1.4M/10.0M [00:11<01:05, 132.1kit/s]

14.5%┣█████▏                              ┫ 1.5M/10.0M [00:11<01:05, 132.5kit/s]

14.6%┣█████▎                              ┫ 1.5M/10.0M [00:11<01:04, 133.1kit/s]

14.7%┣█████▎                              ┫ 1.5M/10.0M [00:11<01:04, 133.5kit/s]

14.9%┣█████▍                              ┫ 1.5M/10.0M [00:11<01:04, 134.0kit/s]

15.0%┣█████▍                              ┫ 1.5M/10.0M [00:11<01:03, 134.5kit/s]

15.1%┣█████▍                              ┫ 1.5M/10.0M [00:11<01:03, 135.0kit/s]

15.2%┣█████▌                              ┫ 1.5M/10.0M [00:11<01:03, 135.4kit/s]

15.3%┣█████▌                              ┫ 1.5M/10.0M [00:11<01:02, 135.8kit/s]

15.5%┣█████▋                              ┫ 1.5M/10.0M [00:11<01:02, 136.2kit/s]

15.6%┣█████▋                              ┫ 1.6M/10.0M [00:11<01:02, 136.6kit/s]

15.7%┣█████▋                              ┫ 1.6M/10.0M [00:11<01:01, 137.1kit/s]

15.8%┣█████▊                              ┫ 1.6M/10.0M [00:11<01:01, 137.5kit/s]

15.9%┣█████▊                              ┫ 1.6M/10.0M [00:12<01:01, 138.0kit/s]

16.1%┣█████▉                              ┫ 1.6M/10.0M [00:12<01:01, 138.5kit/s]

16.2%┣█████▉                              ┫ 1.6M/10.0M [00:12<01:00, 138.9kit/s]

16.3%┣█████▉                              ┫ 1.6M/10.0M [00:12<01:00, 139.3kit/s]

16.4%┣██████                              ┫ 1.6M/10.0M [00:12<01:00, 139.8kit/s]

16.5%┣██████                              ┫ 1.7M/10.0M [00:12<01:00, 140.2kit/s]

16.6%┣██████                              ┫ 1.7M/10.0M [00:12<00:59, 140.5kit/s]

16.8%┣██████                              ┫ 1.7M/10.0M [00:12<00:59, 141.0kit/s]

16.9%┣██████                              ┫ 1.7M/10.0M [00:12<00:59, 141.2kit/s]

17.0%┣██████                              ┫ 1.7M/10.0M [00:12<00:59, 141.3kit/s]

17.0%┣██████▏                             ┫ 1.7M/10.0M [00:12<00:59, 141.4kit/s]

17.1%┣██████▏                             ┫ 1.7M/10.0M [00:12<00:59, 141.5kit/s]

17.2%┣██████▏                             ┫ 1.7M/10.0M [00:12<00:59, 141.4kit/s]

17.3%┣██████▏                             ┫ 1.7M/10.0M [00:12<00:58, 141.6kit/s]

17.3%┣██████▎                             ┫ 1.7M/10.0M [00:12<00:58, 141.6kit/s]

17.5%┣██████▎                             ┫ 1.7M/10.0M [00:12<00:58, 141.8kit/s]

17.5%┣██████▎                             ┫ 1.8M/10.0M [00:12<00:58, 141.9kit/s]

17.6%┣██████▍                             ┫ 1.8M/10.0M [00:12<00:58, 142.0kit/s]

17.7%┣██████▍                             ┫ 1.8M/10.0M [00:12<00:58, 142.0kit/s]

17.8%┣██████▍                             ┫ 1.8M/10.0M [00:13<00:58, 142.2kit/s]

17.9%┣██████▍                             ┫ 1.8M/10.0M [00:13<00:58, 142.3kit/s]

17.9%┣██████▌                             ┫ 1.8M/10.0M [00:13<00:58, 142.4kit/s]

18.0%┣██████▌                             ┫ 1.8M/10.0M [00:13<00:58, 142.4kit/s]

18.1%┣██████▌                             ┫ 1.8M/10.0M [00:13<00:57, 142.8kit/s]

18.2%┣██████▋                             ┫ 1.8M/10.0M [00:13<00:57, 143.1kit/s]

18.4%┣██████▋                             ┫ 1.8M/10.0M [00:13<00:57, 143.4kit/s]

18.5%┣██████▋                             ┫ 1.8M/10.0M [00:13<00:57, 143.6kit/s]

18.6%┣██████▊                             ┫ 1.9M/10.0M [00:13<00:57, 143.8kit/s]

18.7%┣██████▊                             ┫ 1.9M/10.0M [00:13<00:56, 144.0kit/s]

18.7%┣██████▊                             ┫ 1.9M/10.0M [00:13<00:56, 144.0kit/s]

18.8%┣██████▊                             ┫ 1.9M/10.0M [00:13<00:56, 144.1kit/s]

18.9%┣██████▉                             ┫ 1.9M/10.0M [00:13<00:56, 144.2kit/s]

19.0%┣██████▉                             ┫ 1.9M/10.0M [00:13<00:56, 144.1kit/s]

19.0%┣██████▉                             ┫ 1.9M/10.0M [00:13<00:56, 144.2kit/s]

19.1%┣██████▉                             ┫ 1.9M/10.0M [00:13<00:56, 144.2kit/s]

19.2%┣███████                             ┫ 1.9M/10.0M [00:13<00:56, 144.6kit/s]

19.3%┣███████                             ┫ 1.9M/10.0M [00:13<00:56, 144.8kit/s]

19.4%┣███████                             ┫ 1.9M/10.0M [00:13<00:56, 145.0kit/s]

19.6%┣███████                             ┫ 2.0M/10.0M [00:13<00:55, 145.4kit/s]

19.7%┣███████                             ┫ 2.0M/10.0M [00:14<00:55, 145.7kit/s]

19.8%┣███████▏                            ┫ 2.0M/10.0M [00:14<00:55, 145.9kit/s]

19.9%┣███████▏                            ┫ 2.0M/10.0M [00:14<00:55, 146.0kit/s]

20.0%┣███████▏                            ┫ 2.0M/10.0M [00:14<00:55, 146.1kit/s]

20.0%┣███████▏                            ┫ 2.0M/10.0M [00:14<00:55, 146.1kit/s]

20.1%┣███████▎                            ┫ 2.0M/10.0M [00:14<00:55, 146.2kit/s]

20.2%┣███████▎                            ┫ 2.0M/10.0M [00:14<00:55, 146.2kit/s]

20.3%┣███████▎                            ┫ 2.0M/10.0M [00:14<00:55, 146.3kit/s]

20.3%┣███████▎                            ┫ 2.0M/10.0M [00:14<00:54, 146.2kit/s]

20.4%┣███████▍                            ┫ 2.0M/10.0M [00:14<00:54, 146.3kit/s]

20.5%┣███████▍                            ┫ 2.1M/10.0M [00:14<00:54, 146.3kit/s]

20.6%┣███████▍                            ┫ 2.1M/10.0M [00:14<00:54, 146.4kit/s]

20.7%┣███████▍                            ┫ 2.1M/10.0M [00:14<00:54, 146.5kit/s]

20.8%┣███████▌                            ┫ 2.1M/10.0M [00:14<00:54, 146.6kit/s]

20.8%┣███████▌                            ┫ 2.1M/10.0M [00:14<00:54, 146.7kit/s]

20.9%┣███████▌                            ┫ 2.1M/10.0M [00:14<00:54, 146.7kit/s]

21.0%┣███████▋                            ┫ 2.1M/10.0M [00:14<00:54, 146.8kit/s]

21.1%┣███████▋                            ┫ 2.1M/10.0M [00:14<00:54, 146.8kit/s]

21.2%┣███████▋                            ┫ 2.1M/10.0M [00:14<00:54, 146.9kit/s]

21.2%┣███████▋                            ┫ 2.1M/10.0M [00:14<00:54, 146.9kit/s]

21.3%┣███████▊                            ┫ 2.1M/10.0M [00:15<00:54, 147.0kit/s]

21.4%┣███████▊                            ┫ 2.1M/10.0M [00:15<00:53, 146.9kit/s]

21.5%┣███████▊                            ┫ 2.1M/10.0M [00:15<00:53, 147.0kit/s]

21.6%┣███████▊                            ┫ 2.2M/10.0M [00:15<00:53, 147.1kit/s]

21.6%┣███████▉                            ┫ 2.2M/10.0M [00:15<00:53, 147.0kit/s]

21.7%┣███████▉                            ┫ 2.2M/10.0M [00:15<00:53, 147.1kit/s]

21.8%┣███████▉                            ┫ 2.2M/10.0M [00:15<00:53, 147.1kit/s]

21.9%┣███████▉                            ┫ 2.2M/10.0M [00:15<00:53, 147.2kit/s]

22.0%┣████████                            ┫ 2.2M/10.0M [00:15<00:53, 147.2kit/s]

22.0%┣████████                            ┫ 2.2M/10.0M [00:15<00:53, 147.3kit/s]

22.1%┣████████                            ┫ 2.2M/10.0M [00:15<00:53, 147.3kit/s]

22.2%┣████████                            ┫ 2.2M/10.0M [00:15<00:53, 147.4kit/s]

22.3%┣████████                            ┫ 2.2M/10.0M [00:15<00:53, 147.4kit/s]

22.4%┣████████                            ┫ 2.2M/10.0M [00:15<00:53, 147.5kit/s]

22.4%┣████████                            ┫ 2.2M/10.0M [00:15<00:53, 147.6kit/s]

22.5%┣████████                            ┫ 2.3M/10.0M [00:15<00:52, 147.6kit/s]

22.6%┣████████▏                           ┫ 2.3M/10.0M [00:15<00:52, 147.7kit/s]

22.7%┣████████▏                           ┫ 2.3M/10.0M [00:15<00:52, 147.7kit/s]

22.8%┣████████▏                           ┫ 2.3M/10.0M [00:15<00:52, 147.8kit/s]

22.8%┣████████▎                           ┫ 2.3M/10.0M [00:15<00:52, 147.8kit/s]

22.9%┣████████▎                           ┫ 2.3M/10.0M [00:16<00:52, 147.8kit/s]

23.0%┣████████▎                           ┫ 2.3M/10.0M [00:16<00:52, 147.8kit/s]

23.1%┣████████▎                           ┫ 2.3M/10.0M [00:16<00:52, 147.9kit/s]

23.2%┣████████▍                           ┫ 2.3M/10.0M [00:16<00:52, 147.8kit/s]

23.2%┣████████▍                           ┫ 2.3M/10.0M [00:16<00:52, 147.9kit/s]

23.3%┣████████▍                           ┫ 2.3M/10.0M [00:16<00:52, 147.9kit/s]

23.4%┣████████▍                           ┫ 2.3M/10.0M [00:16<00:52, 147.9kit/s]

23.5%┣████████▌                           ┫ 2.3M/10.0M [00:16<00:52, 148.0kit/s]

23.6%┣████████▌                           ┫ 2.4M/10.0M [00:16<00:52, 148.0kit/s]

23.6%┣████████▌                           ┫ 2.4M/10.0M [00:16<00:52, 148.0kit/s]

23.7%┣████████▌                           ┫ 2.4M/10.0M [00:16<00:52, 148.0kit/s]

23.8%┣████████▋                           ┫ 2.4M/10.0M [00:16<00:51, 148.1kit/s]

23.9%┣████████▋                           ┫ 2.4M/10.0M [00:16<00:51, 148.0kit/s]

24.0%┣████████▋                           ┫ 2.4M/10.0M [00:16<00:51, 148.1kit/s]

24.0%┣████████▋                           ┫ 2.4M/10.0M [00:16<00:51, 148.2kit/s]

24.1%┣████████▊                           ┫ 2.4M/10.0M [00:16<00:51, 148.2kit/s]

24.2%┣████████▊                           ┫ 2.4M/10.0M [00:16<00:51, 148.3kit/s]

24.3%┣████████▊                           ┫ 2.4M/10.0M [00:16<00:51, 148.3kit/s]

24.4%┣████████▊                           ┫ 2.4M/10.0M [00:16<00:51, 148.4kit/s]

24.4%┣████████▉                           ┫ 2.4M/10.0M [00:16<00:51, 148.4kit/s]

24.5%┣████████▉                           ┫ 2.5M/10.0M [00:17<00:51, 148.5kit/s]

24.6%┣████████▉                           ┫ 2.5M/10.0M [00:17<00:51, 148.5kit/s]

24.7%┣█████████                           ┫ 2.5M/10.0M [00:17<00:51, 148.5kit/s]

24.8%┣█████████                           ┫ 2.5M/10.0M [00:17<00:51, 148.5kit/s]

24.9%┣█████████                           ┫ 2.5M/10.0M [00:17<00:51, 148.6kit/s]

24.9%┣█████████                           ┫ 2.5M/10.0M [00:17<00:51, 148.6kit/s]

25.0%┣█████████                           ┫ 2.5M/10.0M [00:17<00:50, 148.7kit/s]

25.1%┣█████████                           ┫ 2.5M/10.0M [00:17<00:50, 148.8kit/s]

25.2%┣█████████                           ┫ 2.5M/10.0M [00:17<00:50, 148.8kit/s]

25.3%┣█████████                           ┫ 2.5M/10.0M [00:17<00:50, 148.9kit/s]

25.3%┣█████████▏                          ┫ 2.5M/10.0M [00:17<00:50, 148.9kit/s]

25.4%┣█████████▏                          ┫ 2.5M/10.0M [00:17<00:50, 148.9kit/s]

25.5%┣█████████▏                          ┫ 2.6M/10.0M [00:17<00:50, 148.9kit/s]

25.6%┣█████████▏                          ┫ 2.6M/10.0M [00:17<00:50, 149.0kit/s]

25.7%┣█████████▎                          ┫ 2.6M/10.0M [00:17<00:50, 149.0kit/s]

25.8%┣█████████▎                          ┫ 2.6M/10.0M [00:17<00:50, 149.1kit/s]

25.8%┣█████████▎                          ┫ 2.6M/10.0M [00:17<00:50, 149.1kit/s]

25.9%┣█████████▎                          ┫ 2.6M/10.0M [00:17<00:50, 149.1kit/s]

26.0%┣█████████▍                          ┫ 2.6M/10.0M [00:17<00:50, 149.1kit/s]

26.1%┣█████████▍                          ┫ 2.6M/10.0M [00:17<00:50, 149.2kit/s]

26.2%┣█████████▍                          ┫ 2.6M/10.0M [00:18<00:49, 149.2kit/s]

26.3%┣█████████▌                          ┫ 2.6M/10.0M [00:18<00:49, 149.3kit/s]

26.4%┣█████████▌                          ┫ 2.6M/10.0M [00:18<00:49, 149.4kit/s]

26.4%┣█████████▌                          ┫ 2.6M/10.0M [00:18<00:49, 149.4kit/s]

26.5%┣█████████▌                          ┫ 2.7M/10.0M [00:18<00:49, 149.4kit/s]

26.6%┣█████████▋                          ┫ 2.7M/10.0M [00:18<00:49, 149.4kit/s]

26.7%┣█████████▋                          ┫ 2.7M/10.0M [00:18<00:49, 149.5kit/s]

26.7%┣█████████▋                          ┫ 2.7M/10.0M [00:18<00:49, 149.5kit/s]

26.8%┣█████████▋                          ┫ 2.7M/10.0M [00:18<00:49, 149.6kit/s]

26.9%┣█████████▊                          ┫ 2.7M/10.0M [00:18<00:49, 149.6kit/s]

27.0%┣█████████▊                          ┫ 2.7M/10.0M [00:18<00:49, 149.7kit/s]

27.1%┣█████████▊                          ┫ 2.7M/10.0M [00:18<00:49, 149.7kit/s]

27.2%┣█████████▉                          ┫ 2.7M/10.0M [00:18<00:49, 149.7kit/s]

27.2%┣█████████▉                          ┫ 2.7M/10.0M [00:18<00:49, 149.7kit/s]

27.3%┣█████████▉                          ┫ 2.7M/10.0M [00:18<00:49, 149.8kit/s]

27.4%┣█████████▉                          ┫ 2.7M/10.0M [00:18<00:48, 149.8kit/s]

27.5%┣██████████                          ┫ 2.7M/10.0M [00:18<00:48, 149.8kit/s]

27.6%┣██████████                          ┫ 2.8M/10.0M [00:18<00:48, 149.9kit/s]

27.6%┣██████████                          ┫ 2.8M/10.0M [00:18<00:48, 149.9kit/s]

27.7%┣██████████                          ┫ 2.8M/10.0M [00:18<00:48, 150.0kit/s]

27.8%┣██████████                          ┫ 2.8M/10.0M [00:19<00:48, 149.9kit/s]

27.9%┣██████████                          ┫ 2.8M/10.0M [00:19<00:48, 149.9kit/s]

28.0%┣██████████                          ┫ 2.8M/10.0M [00:19<00:48, 149.9kit/s]

28.0%┣██████████                          ┫ 2.8M/10.0M [00:19<00:48, 150.0kit/s]

28.1%┣██████████▏                         ┫ 2.8M/10.0M [00:19<00:48, 150.0kit/s]

28.2%┣██████████▏                         ┫ 2.8M/10.0M [00:19<00:48, 150.0kit/s]

28.3%┣██████████▏                         ┫ 2.8M/10.0M [00:19<00:48, 150.0kit/s]

28.4%┣██████████▏                         ┫ 2.8M/10.0M [00:19<00:48, 150.0kit/s]

28.4%┣██████████▎                         ┫ 2.8M/10.0M [00:19<00:48, 150.1kit/s]

28.5%┣██████████▎                         ┫ 2.9M/10.0M [00:19<00:48, 150.1kit/s]

28.6%┣██████████▎                         ┫ 2.9M/10.0M [00:19<00:48, 150.2kit/s]

28.7%┣██████████▎                         ┫ 2.9M/10.0M [00:19<00:48, 150.1kit/s]

28.8%┣██████████▍                         ┫ 2.9M/10.0M [00:19<00:47, 150.2kit/s]

28.8%┣██████████▍                         ┫ 2.9M/10.0M [00:19<00:47, 150.2kit/s]

28.9%┣██████████▍                         ┫ 2.9M/10.0M [00:19<00:47, 150.2kit/s]

29.0%┣██████████▍                         ┫ 2.9M/10.0M [00:19<00:47, 150.3kit/s]

29.1%┣██████████▌                         ┫ 2.9M/10.0M [00:19<00:47, 150.2kit/s]

29.2%┣██████████▌                         ┫ 2.9M/10.0M [00:19<00:47, 150.3kit/s]

29.2%┣██████████▌                         ┫ 2.9M/10.0M [00:19<00:47, 150.3kit/s]

29.3%┣██████████▌                         ┫ 2.9M/10.0M [00:20<00:47, 150.3kit/s]

29.4%┣██████████▋                         ┫ 2.9M/10.0M [00:20<00:47, 150.3kit/s]

29.5%┣██████████▋                         ┫ 2.9M/10.0M [00:20<00:47, 150.4kit/s]

29.5%┣██████████▋                         ┫ 3.0M/10.0M [00:20<00:47, 150.4kit/s]

29.6%┣██████████▊                         ┫ 3.0M/10.0M [00:20<00:47, 150.4kit/s]

29.7%┣██████████▊                         ┫ 3.0M/10.0M [00:20<00:47, 150.5kit/s]

29.8%┣██████████▊                         ┫ 3.0M/10.0M [00:20<00:47, 150.5kit/s]

29.9%┣██████████▊                         ┫ 3.0M/10.0M [00:20<00:47, 150.5kit/s]

30.0%┣██████████▉                         ┫ 3.0M/10.0M [00:20<00:47, 150.5kit/s]

30.0%┣██████████▉                         ┫ 3.0M/10.0M [00:20<00:46, 150.5kit/s]

30.1%┣██████████▉                         ┫ 3.0M/10.0M [00:20<00:46, 150.5kit/s]

30.2%┣██████████▉                         ┫ 3.0M/10.0M [00:20<00:46, 150.6kit/s]

30.3%┣███████████                         ┫ 3.0M/10.0M [00:20<00:46, 150.5kit/s]

30.4%┣███████████                         ┫ 3.0M/10.0M [00:20<00:46, 150.6kit/s]

30.4%┣███████████                         ┫ 3.0M/10.0M [00:20<00:46, 150.6kit/s]

30.5%┣███████████                         ┫ 3.1M/10.0M [00:20<00:46, 150.6kit/s]

30.6%┣███████████                         ┫ 3.1M/10.0M [00:20<00:46, 150.7kit/s]

30.7%┣███████████                         ┫ 3.1M/10.0M [00:20<00:46, 150.7kit/s]

30.8%┣███████████                         ┫ 3.1M/10.0M [00:20<00:46, 150.8kit/s]

30.8%┣███████████                         ┫ 3.1M/10.0M [00:20<00:46, 150.7kit/s]

30.9%┣███████████▏                        ┫ 3.1M/10.0M [00:21<00:46, 150.8kit/s]

31.0%┣███████████▏                        ┫ 3.1M/10.0M [00:21<00:46, 150.8kit/s]

31.1%┣███████████▏                        ┫ 3.1M/10.0M [00:21<00:46, 150.9kit/s]

31.2%┣███████████▏                        ┫ 3.1M/10.0M [00:21<00:46, 150.8kit/s]

31.3%┣███████████▎                        ┫ 3.1M/10.0M [00:21<00:46, 150.9kit/s]

31.3%┣███████████▎                        ┫ 3.1M/10.0M [00:21<00:46, 150.8kit/s]

31.4%┣███████████▎                        ┫ 3.1M/10.0M [00:21<00:45, 150.9kit/s]

31.5%┣███████████▎                        ┫ 3.1M/10.0M [00:21<00:45, 150.9kit/s]

31.6%┣███████████▍                        ┫ 3.2M/10.0M [00:21<00:45, 150.9kit/s]

31.6%┣███████████▍                        ┫ 3.2M/10.0M [00:21<00:45, 150.9kit/s]

31.7%┣███████████▍                        ┫ 3.2M/10.0M [00:21<00:45, 150.9kit/s]

31.8%┣███████████▌                        ┫ 3.2M/10.0M [00:21<00:45, 150.9kit/s]

31.9%┣███████████▌                        ┫ 3.2M/10.0M [00:21<00:45, 150.9kit/s]

32.0%┣███████████▌                        ┫ 3.2M/10.0M [00:21<00:45, 151.0kit/s]

32.0%┣███████████▌                        ┫ 3.2M/10.0M [00:21<00:45, 151.0kit/s]

32.1%┣███████████▋                        ┫ 3.2M/10.0M [00:21<00:45, 151.0kit/s]

32.2%┣███████████▋                        ┫ 3.2M/10.0M [00:21<00:45, 151.0kit/s]

32.3%┣███████████▋                        ┫ 3.2M/10.0M [00:21<00:45, 151.0kit/s]

32.3%┣███████████▋                        ┫ 3.2M/10.0M [00:21<00:45, 151.0kit/s]

32.4%┣███████████▊                        ┫ 3.2M/10.0M [00:21<00:45, 151.0kit/s]

32.5%┣███████████▊                        ┫ 3.2M/10.0M [00:22<00:45, 151.0kit/s]

32.6%┣███████████▊                        ┫ 3.3M/10.0M [00:22<00:45, 151.0kit/s]

32.7%┣███████████▊                        ┫ 3.3M/10.0M [00:22<00:45, 151.0kit/s]

32.7%┣███████████▉                        ┫ 3.3M/10.0M [00:22<00:45, 151.1kit/s]

32.8%┣███████████▉                        ┫ 3.3M/10.0M [00:22<00:44, 151.0kit/s]

32.9%┣███████████▉                        ┫ 3.3M/10.0M [00:22<00:44, 151.1kit/s]

33.0%┣███████████▉                        ┫ 3.3M/10.0M [00:22<00:44, 151.0kit/s]

33.0%┣████████████                        ┫ 3.3M/10.0M [00:22<00:44, 151.1kit/s]

33.1%┣████████████                        ┫ 3.3M/10.0M [00:22<00:44, 151.1kit/s]

33.2%┣████████████                        ┫ 3.3M/10.0M [00:22<00:44, 151.1kit/s]

33.3%┣████████████                        ┫ 3.3M/10.0M [00:22<00:44, 151.1kit/s]

33.4%┣████████████                        ┫ 3.3M/10.0M [00:22<00:44, 151.2kit/s]

33.4%┣████████████                        ┫ 3.3M/10.0M [00:22<00:44, 151.2kit/s]

33.5%┣████████████                        ┫ 3.4M/10.0M [00:22<00:44, 151.2kit/s]

33.6%┣████████████                        ┫ 3.4M/10.0M [00:22<00:44, 151.2kit/s]

33.7%┣████████████▏                       ┫ 3.4M/10.0M [00:22<00:44, 151.2kit/s]

33.8%┣████████████▏                       ┫ 3.4M/10.0M [00:22<00:44, 151.3kit/s]

33.8%┣████████████▏                       ┫ 3.4M/10.0M [00:22<00:44, 151.2kit/s]

33.9%┣████████████▏                       ┫ 3.4M/10.0M [00:22<00:44, 151.3kit/s]

34.0%┣████████████▎                       ┫ 3.4M/10.0M [00:22<00:44, 151.2kit/s]

34.1%┣████████████▎                       ┫ 3.4M/10.0M [00:23<00:44, 151.3kit/s]

34.2%┣████████████▎                       ┫ 3.4M/10.0M [00:23<00:44, 151.3kit/s]

34.2%┣████████████▎                       ┫ 3.4M/10.0M [00:23<00:43, 151.3kit/s]

34.3%┣████████████▍                       ┫ 3.4M/10.0M [00:23<00:43, 151.3kit/s]

34.4%┣████████████▍                       ┫ 3.4M/10.0M [00:23<00:43, 151.3kit/s]

34.5%┣████████████▍                       ┫ 3.4M/10.0M [00:23<00:43, 151.4kit/s]

34.5%┣████████████▍                       ┫ 3.5M/10.0M [00:23<00:43, 151.4kit/s]

34.6%┣████████████▌                       ┫ 3.5M/10.0M [00:23<00:43, 151.4kit/s]

34.7%┣████████████▌                       ┫ 3.5M/10.0M [00:23<00:43, 151.4kit/s]

34.8%┣████████████▌                       ┫ 3.5M/10.0M [00:23<00:43, 151.4kit/s]

34.9%┣████████████▌                       ┫ 3.5M/10.0M [00:23<00:43, 151.4kit/s]

35.0%┣████████████▋                       ┫ 3.5M/10.0M [00:23<00:43, 151.4kit/s]

35.0%┣████████████▋                       ┫ 3.5M/10.0M [00:23<00:43, 151.4kit/s]

35.1%┣████████████▋                       ┫ 3.5M/10.0M [00:23<00:43, 151.4kit/s]

35.2%┣████████████▋                       ┫ 3.5M/10.0M [00:23<00:43, 151.4kit/s]

35.3%┣████████████▊                       ┫ 3.5M/10.0M [00:23<00:43, 151.4kit/s]

35.3%┣████████████▊                       ┫ 3.5M/10.0M [00:23<00:43, 151.5kit/s]

35.4%┣████████████▊                       ┫ 3.5M/10.0M [00:23<00:43, 151.4kit/s]

35.5%┣████████████▉                       ┫ 3.5M/10.0M [00:23<00:43, 151.5kit/s]

35.6%┣████████████▉                       ┫ 3.6M/10.0M [00:23<00:43, 151.4kit/s]

35.7%┣████████████▉                       ┫ 3.6M/10.0M [00:24<00:42, 151.5kit/s]

35.7%┣████████████▉                       ┫ 3.6M/10.0M [00:24<00:42, 151.5kit/s]

35.8%┣█████████████                       ┫ 3.6M/10.0M [00:24<00:42, 151.5kit/s]

35.9%┣█████████████                       ┫ 3.6M/10.0M [00:24<00:42, 151.5kit/s]

36.0%┣█████████████                       ┫ 3.6M/10.0M [00:24<00:42, 151.5kit/s]

36.1%┣█████████████                       ┫ 3.6M/10.0M [00:24<00:42, 151.5kit/s]

36.1%┣█████████████                       ┫ 3.6M/10.0M [00:24<00:42, 151.5kit/s]

36.2%┣█████████████                       ┫ 3.6M/10.0M [00:24<00:42, 151.6kit/s]

36.3%┣█████████████                       ┫ 3.6M/10.0M [00:24<00:42, 151.7kit/s]

36.4%┣█████████████▏                      ┫ 3.6M/10.0M [00:24<00:42, 151.9kit/s]

36.6%┣█████████████▏                      ┫ 3.7M/10.0M [00:24<00:42, 152.1kit/s]

36.7%┣█████████████▏                      ┫ 3.7M/10.0M [00:24<00:42, 152.2kit/s]

36.8%┣█████████████▎                      ┫ 3.7M/10.0M [00:24<00:41, 152.3kit/s]

36.9%┣█████████████▎                      ┫ 3.7M/10.0M [00:24<00:41, 152.3kit/s]

36.9%┣█████████████▎                      ┫ 3.7M/10.0M [00:24<00:41, 152.4kit/s]

37.0%┣█████████████▎                      ┫ 3.7M/10.0M [00:24<00:41, 152.4kit/s]

37.1%┣█████████████▍                      ┫ 3.7M/10.0M [00:24<00:41, 152.4kit/s]

37.2%┣█████████████▍                      ┫ 3.7M/10.0M [00:24<00:41, 152.4kit/s]

37.3%┣█████████████▍                      ┫ 3.7M/10.0M [00:24<00:41, 152.4kit/s]

37.3%┣█████████████▍                      ┫ 3.7M/10.0M [00:24<00:41, 152.4kit/s]

37.4%┣█████████████▌                      ┫ 3.7M/10.0M [00:25<00:41, 152.4kit/s]

37.5%┣█████████████▌                      ┫ 3.8M/10.0M [00:25<00:41, 152.5kit/s]

37.6%┣█████████████▌                      ┫ 3.8M/10.0M [00:25<00:41, 152.5kit/s]

37.7%┣█████████████▋                      ┫ 3.8M/10.0M [00:25<00:41, 152.5kit/s]

37.7%┣█████████████▋                      ┫ 3.8M/10.0M [00:25<00:41, 152.5kit/s]

37.8%┣█████████████▋                      ┫ 3.8M/10.0M [00:25<00:41, 152.5kit/s]

37.9%┣█████████████▋                      ┫ 3.8M/10.0M [00:25<00:41, 152.5kit/s]

38.0%┣█████████████▊                      ┫ 3.8M/10.0M [00:25<00:41, 152.5kit/s]

38.1%┣█████████████▊                      ┫ 3.8M/10.0M [00:25<00:41, 152.5kit/s]

38.1%┣█████████████▊                      ┫ 3.8M/10.0M [00:25<00:41, 152.5kit/s]

38.2%┣█████████████▊                      ┫ 3.8M/10.0M [00:25<00:40, 152.5kit/s]

38.3%┣█████████████▉                      ┫ 3.8M/10.0M [00:25<00:40, 152.5kit/s]

38.4%┣█████████████▉                      ┫ 3.8M/10.0M [00:25<00:40, 152.5kit/s]

38.4%┣█████████████▉                      ┫ 3.8M/10.0M [00:25<00:40, 152.5kit/s]

38.5%┣█████████████▉                      ┫ 3.9M/10.0M [00:25<00:40, 152.5kit/s]

38.6%┣██████████████                      ┫ 3.9M/10.0M [00:25<00:40, 152.5kit/s]

38.7%┣██████████████                      ┫ 3.9M/10.0M [00:25<00:40, 152.5kit/s]

38.8%┣██████████████                      ┫ 3.9M/10.0M [00:25<00:40, 152.5kit/s]

38.8%┣██████████████                      ┫ 3.9M/10.0M [00:25<00:40, 152.5kit/s]

38.9%┣██████████████                      ┫ 3.9M/10.0M [00:26<00:40, 152.6kit/s]

39.0%┣██████████████                      ┫ 3.9M/10.0M [00:26<00:40, 152.5kit/s]

39.1%┣██████████████                      ┫ 3.9M/10.0M [00:26<00:40, 152.6kit/s]

39.2%┣██████████████                      ┫ 3.9M/10.0M [00:26<00:40, 152.6kit/s]

39.2%┣██████████████▏                     ┫ 3.9M/10.0M [00:26<00:40, 152.6kit/s]

39.3%┣██████████████▏                     ┫ 3.9M/10.0M [00:26<00:40, 152.6kit/s]

39.4%┣██████████████▏                     ┫ 3.9M/10.0M [00:26<00:40, 152.6kit/s]

39.5%┣██████████████▏                     ┫ 3.9M/10.0M [00:26<00:40, 152.6kit/s]

39.6%┣██████████████▎                     ┫ 4.0M/10.0M [00:26<00:40, 152.7kit/s]

39.7%┣██████████████▎                     ┫ 4.0M/10.0M [00:26<00:40, 152.7kit/s]

39.7%┣██████████████▎                     ┫ 4.0M/10.0M [00:26<00:39, 152.7kit/s]

39.8%┣██████████████▎                     ┫ 4.0M/10.0M [00:26<00:39, 152.7kit/s]

39.9%┣██████████████▍                     ┫ 4.0M/10.0M [00:26<00:39, 152.7kit/s]

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40.1%┣██████████████▌                     ┫ 4.0M/10.0M [00:26<00:39, 152.8kit/s]

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40.4%┣██████████████▋                     ┫ 4.0M/10.0M [00:26<00:39, 152.8kit/s]

40.5%┣██████████████▋                     ┫ 4.1M/10.0M [00:27<00:39, 152.8kit/s]

40.6%┣██████████████▋                     ┫ 4.1M/10.0M [00:27<00:39, 152.8kit/s]

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40.9%┣██████████████▊                     ┫ 4.1M/10.0M [00:27<00:39, 152.8kit/s]

41.0%┣██████████████▊                     ┫ 4.1M/10.0M [00:27<00:39, 152.9kit/s]

41.1%┣██████████████▉                     ┫ 4.1M/10.0M [00:27<00:39, 152.9kit/s]

41.2%┣██████████████▉                     ┫ 4.1M/10.0M [00:27<00:38, 152.9kit/s]

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41.3%┣██████████████▉                     ┫ 4.1M/10.0M [00:27<00:38, 152.9kit/s]

41.4%┣███████████████                     ┫ 4.1M/10.0M [00:27<00:38, 152.9kit/s]

41.5%┣███████████████                     ┫ 4.1M/10.0M [00:27<00:38, 152.9kit/s]

41.6%┣███████████████                     ┫ 4.2M/10.0M [00:27<00:38, 153.0kit/s]

41.7%┣███████████████                     ┫ 4.2M/10.0M [00:27<00:38, 152.9kit/s]

41.7%┣███████████████                     ┫ 4.2M/10.0M [00:27<00:38, 153.0kit/s]

41.8%┣███████████████                     ┫ 4.2M/10.0M [00:27<00:38, 152.9kit/s]

41.9%┣███████████████                     ┫ 4.2M/10.0M [00:27<00:38, 153.0kit/s]

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43.9%┣███████████████▉                    ┫ 4.4M/10.0M [00:29<00:36, 153.6kit/s]

44.0%┣███████████████▉                    ┫ 4.4M/10.0M [00:29<00:36, 153.7kit/s]

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44.2%┣████████████████                    ┫ 4.4M/10.0M [00:29<00:36, 153.7kit/s]

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44.3%┣████████████████                    ┫ 4.4M/10.0M [00:29<00:36, 153.6kit/s]

44.4%┣████████████████                    ┫ 4.4M/10.0M [00:29<00:36, 153.6kit/s]

44.5%┣████████████████                    ┫ 4.4M/10.0M [00:29<00:36, 153.6kit/s]

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44.7%┣████████████████                    ┫ 4.5M/10.0M [00:29<00:36, 153.6kit/s]

44.7%┣████████████████                    ┫ 4.5M/10.0M [00:29<00:36, 153.6kit/s]

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45.1%┣████████████████▎                   ┫ 4.5M/10.0M [00:29<00:36, 153.6kit/s]

45.2%┣████████████████▎                   ┫ 4.5M/10.0M [00:29<00:36, 153.6kit/s]

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45.3%┣████████████████▎                   ┫ 4.5M/10.0M [00:30<00:36, 153.6kit/s]

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47.0%┣█████████████████                   ┫ 4.7M/10.0M [00:31<00:34, 153.7kit/s]

47.1%┣█████████████████                   ┫ 4.7M/10.0M [00:31<00:34, 153.7kit/s]

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47.2%┣█████████████████                   ┫ 4.7M/10.0M [00:31<00:34, 153.7kit/s]

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47.4%┣█████████████████                   ┫ 4.7M/10.0M [00:31<00:34, 153.7kit/s]

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48.3%┣█████████████████▍                  ┫ 4.8M/10.0M [00:31<00:34, 153.7kit/s]

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48.5%┣█████████████████▌                  ┫ 4.8M/10.0M [00:32<00:34, 153.7kit/s]

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48.6%┣█████████████████▌                  ┫ 4.9M/10.0M [00:32<00:33, 153.7kit/s]

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50.1%┣██████████████████                  ┫ 5.0M/10.0M [00:33<00:32, 154.0kit/s]

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57.7%┣████████████████████▊               ┫ 5.8M/10.0M [00:37<00:27, 154.2kit/s]

57.7%┣████████████████████▉               ┫ 5.8M/10.0M [00:37<00:27, 154.2kit/s]

57.8%┣████████████████████▉               ┫ 5.8M/10.0M [00:37<00:27, 154.2kit/s]

57.9%┣████████████████████▉               ┫ 5.8M/10.0M [00:38<00:27, 154.2kit/s]

58.0%┣████████████████████▉               ┫ 5.8M/10.0M [00:38<00:27, 154.2kit/s]

58.1%┣█████████████████████               ┫ 5.8M/10.0M [00:38<00:27, 154.2kit/s]

58.1%┣█████████████████████               ┫ 5.8M/10.0M [00:38<00:27, 154.2kit/s]

58.2%┣█████████████████████               ┫ 5.8M/10.0M [00:38<00:27, 154.2kit/s]

58.3%┣█████████████████████               ┫ 5.8M/10.0M [00:38<00:27, 154.2kit/s]

58.4%┣█████████████████████               ┫ 5.8M/10.0M [00:38<00:27, 154.2kit/s]

58.5%┣█████████████████████               ┫ 5.8M/10.0M [00:38<00:27, 154.2kit/s]

58.5%┣█████████████████████               ┫ 5.9M/10.0M [00:38<00:27, 154.2kit/s]

58.6%┣█████████████████████               ┫ 5.9M/10.0M [00:38<00:27, 154.2kit/s]

58.7%┣█████████████████████▏              ┫ 5.9M/10.0M [00:38<00:27, 154.2kit/s]

58.8%┣█████████████████████▏              ┫ 5.9M/10.0M [00:38<00:27, 154.2kit/s]

58.8%┣█████████████████████▏              ┫ 5.9M/10.0M [00:38<00:27, 154.2kit/s]

58.9%┣█████████████████████▏              ┫ 5.9M/10.0M [00:38<00:27, 154.2kit/s]

59.0%┣█████████████████████▎              ┫ 5.9M/10.0M [00:38<00:27, 154.2kit/s]

59.1%┣█████████████████████▎              ┫ 5.9M/10.0M [00:38<00:27, 154.2kit/s]

59.2%┣█████████████████████▎              ┫ 5.9M/10.0M [00:38<00:26, 154.2kit/s]

59.2%┣█████████████████████▎              ┫ 5.9M/10.0M [00:38<00:26, 154.2kit/s]

59.3%┣█████████████████████▍              ┫ 5.9M/10.0M [00:38<00:26, 154.2kit/s]

59.4%┣█████████████████████▍              ┫ 5.9M/10.0M [00:39<00:26, 154.2kit/s]

59.5%┣█████████████████████▍              ┫ 5.9M/10.0M [00:39<00:26, 154.2kit/s]

59.5%┣█████████████████████▍              ┫ 6.0M/10.0M [00:39<00:26, 154.2kit/s]

59.6%┣█████████████████████▌              ┫ 6.0M/10.0M [00:39<00:26, 154.2kit/s]

59.7%┣█████████████████████▌              ┫ 6.0M/10.0M [00:39<00:26, 154.2kit/s]

59.8%┣█████████████████████▌              ┫ 6.0M/10.0M [00:39<00:26, 154.2kit/s]

59.9%┣█████████████████████▌              ┫ 6.0M/10.0M [00:39<00:26, 154.2kit/s]

59.9%┣█████████████████████▋              ┫ 6.0M/10.0M [00:39<00:26, 154.2kit/s]

60.0%┣█████████████████████▋              ┫ 6.0M/10.0M [00:39<00:26, 154.2kit/s]

60.1%┣█████████████████████▋              ┫ 6.0M/10.0M [00:39<00:26, 154.2kit/s]

60.2%┣█████████████████████▋              ┫ 6.0M/10.0M [00:39<00:26, 154.2kit/s]

60.2%┣█████████████████████▊              ┫ 6.0M/10.0M [00:39<00:26, 154.2kit/s]

60.3%┣█████████████████████▊              ┫ 6.0M/10.0M [00:39<00:26, 154.2kit/s]

60.4%┣█████████████████████▊              ┫ 6.0M/10.0M [00:39<00:26, 154.2kit/s]

60.5%┣█████████████████████▊              ┫ 6.0M/10.0M [00:39<00:26, 154.2kit/s]

60.6%┣█████████████████████▉              ┫ 6.1M/10.0M [00:39<00:26, 154.2kit/s]

60.7%┣█████████████████████▉              ┫ 6.1M/10.0M [00:39<00:26, 154.2kit/s]

60.7%┣█████████████████████▉              ┫ 6.1M/10.0M [00:39<00:25, 154.3kit/s]

60.8%┣██████████████████████              ┫ 6.1M/10.0M [00:39<00:25, 154.2kit/s]

60.9%┣██████████████████████              ┫ 6.1M/10.0M [00:39<00:25, 154.3kit/s]

61.0%┣██████████████████████              ┫ 6.1M/10.0M [00:40<00:25, 154.3kit/s]

61.1%┣██████████████████████              ┫ 6.1M/10.0M [00:40<00:25, 154.3kit/s]

61.1%┣██████████████████████              ┫ 6.1M/10.0M [00:40<00:25, 154.3kit/s]

61.2%┣██████████████████████              ┫ 6.1M/10.0M [00:40<00:25, 154.3kit/s]

61.3%┣██████████████████████              ┫ 6.1M/10.0M [00:40<00:25, 154.3kit/s]

61.4%┣██████████████████████              ┫ 6.1M/10.0M [00:40<00:25, 154.3kit/s]

61.5%┣██████████████████████▏             ┫ 6.1M/10.0M [00:40<00:25, 154.3kit/s]

61.5%┣██████████████████████▏             ┫ 6.2M/10.0M [00:40<00:25, 154.3kit/s]

61.6%┣██████████████████████▏             ┫ 6.2M/10.0M [00:40<00:25, 154.3kit/s]

61.7%┣██████████████████████▏             ┫ 6.2M/10.0M [00:40<00:25, 154.3kit/s]

61.8%┣██████████████████████▎             ┫ 6.2M/10.0M [00:40<00:25, 154.3kit/s]

61.9%┣██████████████████████▎             ┫ 6.2M/10.0M [00:40<00:25, 154.3kit/s]

62.0%┣██████████████████████▎             ┫ 6.2M/10.0M [00:40<00:25, 154.3kit/s]

62.0%┣██████████████████████▎             ┫ 6.2M/10.0M [00:40<00:25, 154.3kit/s]

62.1%┣██████████████████████▍             ┫ 6.2M/10.0M [00:40<00:25, 154.4kit/s]

62.2%┣██████████████████████▍             ┫ 6.2M/10.0M [00:40<00:25, 154.3kit/s]

62.3%┣██████████████████████▍             ┫ 6.2M/10.0M [00:40<00:24, 154.4kit/s]

62.4%┣██████████████████████▌             ┫ 6.2M/10.0M [00:40<00:24, 154.4kit/s]

62.4%┣██████████████████████▌             ┫ 6.2M/10.0M [00:40<00:24, 154.4kit/s]

62.5%┣██████████████████████▌             ┫ 6.3M/10.0M [00:40<00:24, 154.4kit/s]

62.6%┣██████████████████████▌             ┫ 6.3M/10.0M [00:41<00:24, 154.4kit/s]

62.7%┣██████████████████████▋             ┫ 6.3M/10.0M [00:41<00:24, 154.4kit/s]

62.8%┣██████████████████████▋             ┫ 6.3M/10.0M [00:41<00:24, 154.4kit/s]

62.8%┣██████████████████████▋             ┫ 6.3M/10.0M [00:41<00:24, 154.4kit/s]

62.9%┣██████████████████████▋             ┫ 6.3M/10.0M [00:41<00:24, 154.4kit/s]

63.0%┣██████████████████████▊             ┫ 6.3M/10.0M [00:41<00:24, 154.4kit/s]

63.1%┣██████████████████████▊             ┫ 6.3M/10.0M [00:41<00:24, 154.4kit/s]

63.2%┣██████████████████████▊             ┫ 6.3M/10.0M [00:41<00:24, 154.4kit/s]

63.2%┣██████████████████████▊             ┫ 6.3M/10.0M [00:41<00:24, 154.4kit/s]

63.3%┣██████████████████████▉             ┫ 6.3M/10.0M [00:41<00:24, 154.4kit/s]

63.4%┣██████████████████████▉             ┫ 6.3M/10.0M [00:41<00:24, 154.4kit/s]

63.5%┣██████████████████████▉             ┫ 6.3M/10.0M [00:41<00:24, 154.4kit/s]

63.6%┣██████████████████████▉             ┫ 6.4M/10.0M [00:41<00:24, 154.4kit/s]

63.6%┣███████████████████████             ┫ 6.4M/10.0M [00:41<00:24, 154.4kit/s]

63.7%┣███████████████████████             ┫ 6.4M/10.0M [00:41<00:23, 154.4kit/s]

63.8%┣███████████████████████             ┫ 6.4M/10.0M [00:41<00:23, 154.4kit/s]

63.9%┣███████████████████████             ┫ 6.4M/10.0M [00:41<00:23, 154.5kit/s]

64.0%┣███████████████████████             ┫ 6.4M/10.0M [00:41<00:23, 154.4kit/s]

64.0%┣███████████████████████             ┫ 6.4M/10.0M [00:41<00:23, 154.5kit/s]

64.1%┣███████████████████████             ┫ 6.4M/10.0M [00:42<00:23, 154.5kit/s]

64.2%┣███████████████████████▏            ┫ 6.4M/10.0M [00:42<00:23, 154.5kit/s]

64.3%┣███████████████████████▏            ┫ 6.4M/10.0M [00:42<00:23, 154.5kit/s]

64.4%┣███████████████████████▏            ┫ 6.4M/10.0M [00:42<00:23, 154.5kit/s]

64.5%┣███████████████████████▏            ┫ 6.4M/10.0M [00:42<00:23, 154.5kit/s]

64.5%┣███████████████████████▎            ┫ 6.5M/10.0M [00:42<00:23, 154.5kit/s]

64.6%┣███████████████████████▎            ┫ 6.5M/10.0M [00:42<00:23, 154.5kit/s]

64.7%┣███████████████████████▎            ┫ 6.5M/10.0M [00:42<00:23, 154.5kit/s]

64.8%┣███████████████████████▎            ┫ 6.5M/10.0M [00:42<00:23, 154.5kit/s]

64.8%┣███████████████████████▍            ┫ 6.5M/10.0M [00:42<00:23, 154.5kit/s]

64.9%┣███████████████████████▍            ┫ 6.5M/10.0M [00:42<00:23, 154.5kit/s]

65.0%┣███████████████████████▍            ┫ 6.5M/10.0M [00:42<00:23, 154.5kit/s]

65.1%┣███████████████████████▍            ┫ 6.5M/10.0M [00:42<00:23, 154.5kit/s]

65.2%┣███████████████████████▌            ┫ 6.5M/10.0M [00:42<00:23, 154.5kit/s]

65.2%┣███████████████████████▌            ┫ 6.5M/10.0M [00:42<00:22, 154.5kit/s]

65.3%┣███████████████████████▌            ┫ 6.5M/10.0M [00:42<00:22, 154.5kit/s]

65.4%┣███████████████████████▌            ┫ 6.5M/10.0M [00:42<00:22, 154.5kit/s]

65.5%┣███████████████████████▋            ┫ 6.5M/10.0M [00:42<00:22, 154.5kit/s]

65.6%┣███████████████████████▋            ┫ 6.6M/10.0M [00:42<00:22, 154.5kit/s]

65.6%┣███████████████████████▋            ┫ 6.6M/10.0M [00:42<00:22, 154.5kit/s]

65.7%┣███████████████████████▋            ┫ 6.6M/10.0M [00:43<00:22, 154.5kit/s]

65.8%┣███████████████████████▊            ┫ 6.6M/10.0M [00:43<00:22, 154.5kit/s]

65.9%┣███████████████████████▊            ┫ 6.6M/10.0M [00:43<00:22, 154.5kit/s]

65.9%┣███████████████████████▊            ┫ 6.6M/10.0M [00:43<00:22, 154.5kit/s]

66.0%┣███████████████████████▊            ┫ 6.6M/10.0M [00:43<00:22, 154.6kit/s]

66.1%┣███████████████████████▉            ┫ 6.6M/10.0M [00:43<00:22, 154.6kit/s]

66.2%┣███████████████████████▉            ┫ 6.6M/10.0M [00:43<00:22, 154.6kit/s]

66.3%┣███████████████████████▉            ┫ 6.6M/10.0M [00:43<00:22, 154.6kit/s]

66.4%┣████████████████████████            ┫ 6.6M/10.0M [00:43<00:22, 154.6kit/s]

66.4%┣████████████████████████            ┫ 6.6M/10.0M [00:43<00:22, 154.6kit/s]

66.5%┣████████████████████████            ┫ 6.7M/10.0M [00:43<00:22, 154.6kit/s]

66.6%┣████████████████████████            ┫ 6.7M/10.0M [00:43<00:22, 154.6kit/s]

66.7%┣████████████████████████            ┫ 6.7M/10.0M [00:43<00:22, 154.6kit/s]

66.8%┣████████████████████████            ┫ 6.7M/10.0M [00:43<00:22, 154.6kit/s]

66.8%┣████████████████████████            ┫ 6.7M/10.0M [00:43<00:21, 154.6kit/s]

66.9%┣████████████████████████            ┫ 6.7M/10.0M [00:43<00:21, 154.6kit/s]

67.0%┣████████████████████████▏           ┫ 6.7M/10.0M [00:43<00:21, 154.6kit/s]

67.1%┣████████████████████████▏           ┫ 6.7M/10.0M [00:43<00:21, 154.6kit/s]

67.2%┣████████████████████████▏           ┫ 6.7M/10.0M [00:43<00:21, 154.6kit/s]

67.3%┣████████████████████████▏           ┫ 6.7M/10.0M [00:43<00:21, 154.6kit/s]

67.3%┣████████████████████████▎           ┫ 6.7M/10.0M [00:44<00:21, 154.6kit/s]

67.4%┣████████████████████████▎           ┫ 6.7M/10.0M [00:44<00:21, 154.7kit/s]

67.5%┣████████████████████████▎           ┫ 6.8M/10.0M [00:44<00:21, 154.7kit/s]

67.6%┣████████████████████████▍           ┫ 6.8M/10.0M [00:44<00:21, 154.7kit/s]

67.7%┣████████████████████████▍           ┫ 6.8M/10.0M [00:44<00:21, 154.7kit/s]

67.8%┣████████████████████████▍           ┫ 6.8M/10.0M [00:44<00:21, 154.7kit/s]

67.9%┣████████████████████████▍           ┫ 6.8M/10.0M [00:44<00:21, 154.7kit/s]

68.0%┣████████████████████████▌           ┫ 6.8M/10.0M [00:44<00:21, 154.7kit/s]

68.0%┣████████████████████████▌           ┫ 6.8M/10.0M [00:44<00:21, 154.7kit/s]

68.1%┣████████████████████████▌           ┫ 6.8M/10.0M [00:44<00:21, 154.8kit/s]

68.2%┣████████████████████████▋           ┫ 6.8M/10.0M [00:44<00:21, 154.8kit/s]

68.3%┣████████████████████████▋           ┫ 6.8M/10.0M [00:44<00:20, 154.8kit/s]

68.4%┣████████████████████████▋           ┫ 6.8M/10.0M [00:44<00:20, 154.8kit/s]

68.5%┣████████████████████████▋           ┫ 6.8M/10.0M [00:44<00:20, 154.8kit/s]

68.6%┣████████████████████████▊           ┫ 6.9M/10.0M [00:44<00:20, 154.8kit/s]

68.6%┣████████████████████████▊           ┫ 6.9M/10.0M [00:44<00:20, 154.8kit/s]

68.7%┣████████████████████████▊           ┫ 6.9M/10.0M [00:44<00:20, 154.8kit/s]

68.8%┣████████████████████████▊           ┫ 6.9M/10.0M [00:44<00:20, 154.8kit/s]

68.9%┣████████████████████████▉           ┫ 6.9M/10.0M [00:44<00:20, 154.9kit/s]

69.0%┣████████████████████████▉           ┫ 6.9M/10.0M [00:45<00:20, 154.9kit/s]

69.1%┣████████████████████████▉           ┫ 6.9M/10.0M [00:45<00:20, 154.9kit/s]

69.1%┣█████████████████████████           ┫ 6.9M/10.0M [00:45<00:20, 154.9kit/s]

69.2%┣█████████████████████████           ┫ 6.9M/10.0M [00:45<00:20, 154.9kit/s]

69.3%┣█████████████████████████           ┫ 6.9M/10.0M [00:45<00:20, 154.9kit/s]

69.4%┣█████████████████████████           ┫ 6.9M/10.0M [00:45<00:20, 154.9kit/s]

69.5%┣█████████████████████████           ┫ 6.9M/10.0M [00:45<00:20, 154.9kit/s]

69.6%┣█████████████████████████           ┫ 7.0M/10.0M [00:45<00:20, 154.9kit/s]

69.6%┣█████████████████████████           ┫ 7.0M/10.0M [00:45<00:20, 154.9kit/s]

69.7%┣█████████████████████████           ┫ 7.0M/10.0M [00:45<00:20, 155.0kit/s]

69.8%┣█████████████████████████▏          ┫ 7.0M/10.0M [00:45<00:19, 155.0kit/s]

69.9%┣█████████████████████████▏          ┫ 7.0M/10.0M [00:45<00:19, 155.0kit/s]

70.0%┣█████████████████████████▏          ┫ 7.0M/10.0M [00:45<00:19, 155.0kit/s]

70.1%┣█████████████████████████▎          ┫ 7.0M/10.0M [00:45<00:19, 155.0kit/s]

70.2%┣█████████████████████████▎          ┫ 7.0M/10.0M [00:45<00:19, 155.0kit/s]

70.3%┣█████████████████████████▎          ┫ 7.0M/10.0M [00:45<00:19, 155.0kit/s]

70.3%┣█████████████████████████▎          ┫ 7.0M/10.0M [00:45<00:19, 155.1kit/s]

70.4%┣█████████████████████████▍          ┫ 7.0M/10.0M [00:45<00:19, 155.0kit/s]

70.5%┣█████████████████████████▍          ┫ 7.1M/10.0M [00:45<00:19, 155.1kit/s]

70.6%┣█████████████████████████▍          ┫ 7.1M/10.0M [00:46<00:19, 155.1kit/s]

70.7%┣█████████████████████████▍          ┫ 7.1M/10.0M [00:46<00:19, 155.1kit/s]

70.7%┣█████████████████████████▌          ┫ 7.1M/10.0M [00:46<00:19, 155.1kit/s]

70.8%┣█████████████████████████▌          ┫ 7.1M/10.0M [00:46<00:19, 155.1kit/s]

70.9%┣█████████████████████████▌          ┫ 7.1M/10.0M [00:46<00:19, 155.1kit/s]

71.0%┣█████████████████████████▋          ┫ 7.1M/10.0M [00:46<00:19, 155.1kit/s]

71.1%┣█████████████████████████▋          ┫ 7.1M/10.0M [00:46<00:19, 155.1kit/s]

71.1%┣█████████████████████████▋          ┫ 7.1M/10.0M [00:46<00:19, 155.1kit/s]

71.2%┣█████████████████████████▋          ┫ 7.1M/10.0M [00:46<00:19, 155.1kit/s]

71.3%┣█████████████████████████▊          ┫ 7.1M/10.0M [00:46<00:18, 155.1kit/s]

71.4%┣█████████████████████████▊          ┫ 7.1M/10.0M [00:46<00:18, 155.1kit/s]

71.5%┣█████████████████████████▊          ┫ 7.1M/10.0M [00:46<00:18, 155.1kit/s]

71.5%┣█████████████████████████▊          ┫ 7.2M/10.0M [00:46<00:18, 155.1kit/s]

71.6%┣█████████████████████████▉          ┫ 7.2M/10.0M [00:46<00:18, 155.1kit/s]

71.7%┣█████████████████████████▉          ┫ 7.2M/10.0M [00:46<00:18, 155.1kit/s]

71.8%┣█████████████████████████▉          ┫ 7.2M/10.0M [00:46<00:18, 155.1kit/s]

71.9%┣█████████████████████████▉          ┫ 7.2M/10.0M [00:46<00:18, 155.1kit/s]

71.9%┣██████████████████████████          ┫ 7.2M/10.0M [00:46<00:18, 155.1kit/s]

72.0%┣██████████████████████████          ┫ 7.2M/10.0M [00:46<00:18, 155.1kit/s]

72.1%┣██████████████████████████          ┫ 7.2M/10.0M [00:46<00:18, 155.1kit/s]

72.2%┣██████████████████████████          ┫ 7.2M/10.0M [00:47<00:18, 155.1kit/s]

72.3%┣██████████████████████████          ┫ 7.2M/10.0M [00:47<00:18, 155.1kit/s]

72.3%┣██████████████████████████          ┫ 7.2M/10.0M [00:47<00:18, 155.1kit/s]

72.4%┣██████████████████████████          ┫ 7.2M/10.0M [00:47<00:18, 155.1kit/s]

72.5%┣██████████████████████████          ┫ 7.3M/10.0M [00:47<00:18, 155.1kit/s]

72.6%┣██████████████████████████▏         ┫ 7.3M/10.0M [00:47<00:18, 155.1kit/s]

72.7%┣██████████████████████████▏         ┫ 7.3M/10.0M [00:47<00:18, 155.1kit/s]

72.8%┣██████████████████████████▏         ┫ 7.3M/10.0M [00:47<00:18, 155.1kit/s]

72.8%┣██████████████████████████▏         ┫ 7.3M/10.0M [00:47<00:18, 155.1kit/s]

72.9%┣██████████████████████████▎         ┫ 7.3M/10.0M [00:47<00:17, 155.1kit/s]

73.0%┣██████████████████████████▎         ┫ 7.3M/10.0M [00:47<00:17, 155.2kit/s]

73.1%┣██████████████████████████▎         ┫ 7.3M/10.0M [00:47<00:17, 155.2kit/s]

73.2%┣██████████████████████████▍         ┫ 7.3M/10.0M [00:47<00:17, 155.2kit/s]

73.2%┣██████████████████████████▍         ┫ 7.3M/10.0M [00:47<00:17, 155.2kit/s]

73.3%┣██████████████████████████▍         ┫ 7.3M/10.0M [00:47<00:17, 155.2kit/s]

73.4%┣██████████████████████████▍         ┫ 7.3M/10.0M [00:47<00:17, 155.2kit/s]

73.5%┣██████████████████████████▌         ┫ 7.3M/10.0M [00:47<00:17, 155.2kit/s]

73.6%┣██████████████████████████▌         ┫ 7.4M/10.0M [00:47<00:17, 155.2kit/s]

73.6%┣██████████████████████████▌         ┫ 7.4M/10.0M [00:47<00:17, 155.2kit/s]

73.7%┣██████████████████████████▌         ┫ 7.4M/10.0M [00:48<00:17, 155.2kit/s]

73.8%┣██████████████████████████▋         ┫ 7.4M/10.0M [00:48<00:17, 155.2kit/s]

73.9%┣██████████████████████████▋         ┫ 7.4M/10.0M [00:48<00:17, 155.2kit/s]

74.0%┣██████████████████████████▋         ┫ 7.4M/10.0M [00:48<00:17, 155.2kit/s]

74.0%┣██████████████████████████▋         ┫ 7.4M/10.0M [00:48<00:17, 155.2kit/s]

74.1%┣██████████████████████████▊         ┫ 7.4M/10.0M [00:48<00:17, 155.2kit/s]

74.2%┣██████████████████████████▊         ┫ 7.4M/10.0M [00:48<00:17, 155.2kit/s]

74.3%┣██████████████████████████▊         ┫ 7.4M/10.0M [00:48<00:17, 155.2kit/s]

74.3%┣██████████████████████████▊         ┫ 7.4M/10.0M [00:48<00:17, 155.2kit/s]

74.4%┣██████████████████████████▉         ┫ 7.4M/10.0M [00:48<00:16, 155.2kit/s]

74.5%┣██████████████████████████▉         ┫ 7.4M/10.0M [00:48<00:16, 155.2kit/s]

74.6%┣██████████████████████████▉         ┫ 7.5M/10.0M [00:48<00:16, 155.2kit/s]

74.6%┣██████████████████████████▉         ┫ 7.5M/10.0M [00:48<00:16, 155.2kit/s]

74.7%┣███████████████████████████         ┫ 7.5M/10.0M [00:48<00:16, 155.2kit/s]

74.8%┣███████████████████████████         ┫ 7.5M/10.0M [00:48<00:16, 155.1kit/s]

74.9%┣███████████████████████████         ┫ 7.5M/10.0M [00:48<00:16, 155.1kit/s]

75.0%┣███████████████████████████         ┫ 7.5M/10.0M [00:48<00:16, 155.2kit/s]

75.0%┣███████████████████████████         ┫ 7.5M/10.0M [00:48<00:16, 155.1kit/s]

75.1%┣███████████████████████████         ┫ 7.5M/10.0M [00:48<00:16, 155.1kit/s]

75.2%┣███████████████████████████         ┫ 7.5M/10.0M [00:48<00:16, 155.1kit/s]

75.3%┣███████████████████████████         ┫ 7.5M/10.0M [00:49<00:16, 155.1kit/s]

75.3%┣███████████████████████████▏        ┫ 7.5M/10.0M [00:49<00:16, 155.1kit/s]

75.4%┣███████████████████████████▏        ┫ 7.5M/10.0M [00:49<00:16, 155.2kit/s]

75.5%┣███████████████████████████▏        ┫ 7.5M/10.0M [00:49<00:16, 155.1kit/s]

75.6%┣███████████████████████████▏        ┫ 7.6M/10.0M [00:49<00:16, 155.2kit/s]

75.7%┣███████████████████████████▎        ┫ 7.6M/10.0M [00:49<00:16, 155.2kit/s]

75.7%┣███████████████████████████▎        ┫ 7.6M/10.0M [00:49<00:16, 155.2kit/s]

75.8%┣███████████████████████████▎        ┫ 7.6M/10.0M [00:49<00:16, 155.2kit/s]

75.9%┣███████████████████████████▎        ┫ 7.6M/10.0M [00:49<00:16, 155.2kit/s]

76.0%┣███████████████████████████▍        ┫ 7.6M/10.0M [00:49<00:15, 155.2kit/s]

76.1%┣███████████████████████████▍        ┫ 7.6M/10.0M [00:49<00:15, 155.2kit/s]

76.1%┣███████████████████████████▍        ┫ 7.6M/10.0M [00:49<00:15, 155.2kit/s]

76.2%┣███████████████████████████▍        ┫ 7.6M/10.0M [00:49<00:15, 155.2kit/s]

76.3%┣███████████████████████████▌        ┫ 7.6M/10.0M [00:49<00:15, 155.2kit/s]

76.4%┣███████████████████████████▌        ┫ 7.6M/10.0M [00:49<00:15, 155.2kit/s]

76.5%┣███████████████████████████▌        ┫ 7.6M/10.0M [00:49<00:15, 155.2kit/s]

76.5%┣███████████████████████████▋        ┫ 7.7M/10.0M [00:49<00:15, 155.2kit/s]

76.6%┣███████████████████████████▋        ┫ 7.7M/10.0M [00:49<00:15, 155.2kit/s]

76.7%┣███████████████████████████▋        ┫ 7.7M/10.0M [00:49<00:15, 155.2kit/s]

76.8%┣███████████████████████████▋        ┫ 7.7M/10.0M [00:49<00:15, 155.2kit/s]

76.9%┣███████████████████████████▊        ┫ 7.7M/10.0M [00:50<00:15, 155.2kit/s]

76.9%┣███████████████████████████▊        ┫ 7.7M/10.0M [00:50<00:15, 155.2kit/s]

77.0%┣███████████████████████████▊        ┫ 7.7M/10.0M [00:50<00:15, 155.2kit/s]

77.1%┣███████████████████████████▊        ┫ 7.7M/10.0M [00:50<00:15, 155.2kit/s]

77.2%┣███████████████████████████▉        ┫ 7.7M/10.0M [00:50<00:15, 155.2kit/s]

77.3%┣███████████████████████████▉        ┫ 7.7M/10.0M [00:50<00:15, 155.2kit/s]

77.3%┣███████████████████████████▉        ┫ 7.7M/10.0M [00:50<00:15, 155.2kit/s]

77.4%┣███████████████████████████▉        ┫ 7.7M/10.0M [00:50<00:15, 155.2kit/s]

77.5%┣████████████████████████████        ┫ 7.7M/10.0M [00:50<00:14, 155.2kit/s]

77.6%┣████████████████████████████        ┫ 7.8M/10.0M [00:50<00:14, 155.2kit/s]

77.7%┣████████████████████████████        ┫ 7.8M/10.0M [00:50<00:14, 155.2kit/s]

77.7%┣████████████████████████████        ┫ 7.8M/10.0M [00:50<00:14, 155.2kit/s]

77.8%┣████████████████████████████        ┫ 7.8M/10.0M [00:50<00:14, 155.2kit/s]

77.9%┣████████████████████████████        ┫ 7.8M/10.0M [00:50<00:14, 155.2kit/s]

78.0%┣████████████████████████████        ┫ 7.8M/10.0M [00:50<00:14, 155.2kit/s]

78.1%┣████████████████████████████        ┫ 7.8M/10.0M [00:50<00:14, 155.3kit/s]

78.1%┣████████████████████████████▏       ┫ 7.8M/10.0M [00:50<00:14, 155.3kit/s]

78.2%┣████████████████████████████▏       ┫ 7.8M/10.0M [00:50<00:14, 155.3kit/s]

78.3%┣████████████████████████████▏       ┫ 7.8M/10.0M [00:50<00:14, 155.3kit/s]

78.4%┣████████████████████████████▏       ┫ 7.8M/10.0M [00:50<00:14, 155.3kit/s]

78.5%┣████████████████████████████▎       ┫ 7.8M/10.0M [00:51<00:14, 155.3kit/s]

78.5%┣████████████████████████████▎       ┫ 7.9M/10.0M [00:51<00:14, 155.3kit/s]

78.6%┣████████████████████████████▎       ┫ 7.9M/10.0M [00:51<00:14, 155.3kit/s]

78.7%┣████████████████████████████▎       ┫ 7.9M/10.0M [00:51<00:14, 155.3kit/s]

78.8%┣████████████████████████████▍       ┫ 7.9M/10.0M [00:51<00:14, 155.3kit/s]

78.9%┣████████████████████████████▍       ┫ 7.9M/10.0M [00:51<00:14, 155.3kit/s]

79.0%┣████████████████████████████▍       ┫ 7.9M/10.0M [00:51<00:14, 155.3kit/s]

79.0%┣████████████████████████████▌       ┫ 7.9M/10.0M [00:51<00:13, 155.3kit/s]

79.1%┣████████████████████████████▌       ┫ 7.9M/10.0M [00:51<00:13, 155.3kit/s]

79.2%┣████████████████████████████▌       ┫ 7.9M/10.0M [00:51<00:13, 155.3kit/s]

79.3%┣████████████████████████████▌       ┫ 7.9M/10.0M [00:51<00:13, 155.4kit/s]

79.4%┣████████████████████████████▋       ┫ 7.9M/10.0M [00:51<00:13, 155.4kit/s]

79.5%┣████████████████████████████▋       ┫ 7.9M/10.0M [00:51<00:13, 155.4kit/s]

79.6%┣████████████████████████████▋       ┫ 8.0M/10.0M [00:51<00:13, 155.4kit/s]

79.6%┣████████████████████████████▊       ┫ 8.0M/10.0M [00:51<00:13, 155.4kit/s]

79.7%┣████████████████████████████▊       ┫ 8.0M/10.0M [00:51<00:13, 155.4kit/s]

79.8%┣████████████████████████████▊       ┫ 8.0M/10.0M [00:51<00:13, 155.4kit/s]

79.9%┣████████████████████████████▊       ┫ 8.0M/10.0M [00:51<00:13, 155.4kit/s]

80.0%┣████████████████████████████▉       ┫ 8.0M/10.0M [00:51<00:13, 155.4kit/s]

80.1%┣████████████████████████████▉       ┫ 8.0M/10.0M [00:52<00:13, 155.4kit/s]

80.1%┣████████████████████████████▉       ┫ 8.0M/10.0M [00:52<00:13, 155.4kit/s]

80.2%┣████████████████████████████▉       ┫ 8.0M/10.0M [00:52<00:13, 155.5kit/s]

80.3%┣█████████████████████████████       ┫ 8.0M/10.0M [00:52<00:13, 155.4kit/s]

80.4%┣█████████████████████████████       ┫ 8.0M/10.0M [00:52<00:13, 155.5kit/s]

80.5%┣█████████████████████████████       ┫ 8.0M/10.0M [00:52<00:13, 155.5kit/s]

80.6%┣█████████████████████████████       ┫ 8.1M/10.0M [00:52<00:13, 155.5kit/s]

80.6%┣█████████████████████████████       ┫ 8.1M/10.0M [00:52<00:12, 155.5kit/s]

80.7%┣█████████████████████████████       ┫ 8.1M/10.0M [00:52<00:12, 155.5kit/s]

80.8%┣█████████████████████████████       ┫ 8.1M/10.0M [00:52<00:12, 155.5kit/s]

80.9%┣█████████████████████████████▏      ┫ 8.1M/10.0M [00:52<00:12, 155.5kit/s]

81.0%┣█████████████████████████████▏      ┫ 8.1M/10.0M [00:52<00:12, 155.5kit/s]

81.0%┣█████████████████████████████▏      ┫ 8.1M/10.0M [00:52<00:12, 155.5kit/s]

81.1%┣█████████████████████████████▏      ┫ 8.1M/10.0M [00:52<00:12, 155.5kit/s]

81.2%┣█████████████████████████████▎      ┫ 8.1M/10.0M [00:52<00:12, 155.5kit/s]

81.3%┣█████████████████████████████▎      ┫ 8.1M/10.0M [00:52<00:12, 155.5kit/s]

81.4%┣█████████████████████████████▎      ┫ 8.1M/10.0M [00:52<00:12, 155.5kit/s]

81.5%┣█████████████████████████████▍      ┫ 8.1M/10.0M [00:52<00:12, 155.6kit/s]

81.6%┣█████████████████████████████▍      ┫ 8.2M/10.0M [00:52<00:12, 155.6kit/s]

81.7%┣█████████████████████████████▍      ┫ 8.2M/10.0M [00:52<00:12, 155.7kit/s]

81.8%┣█████████████████████████████▍      ┫ 8.2M/10.0M [00:53<00:12, 155.7kit/s]

81.9%┣█████████████████████████████▌      ┫ 8.2M/10.0M [00:53<00:12, 155.8kit/s]

82.0%┣█████████████████████████████▌      ┫ 8.2M/10.0M [00:53<00:12, 155.8kit/s]

82.1%┣█████████████████████████████▌      ┫ 8.2M/10.0M [00:53<00:12, 155.8kit/s]

82.2%┣█████████████████████████████▋      ┫ 8.2M/10.0M [00:53<00:11, 155.9kit/s]

82.3%┣█████████████████████████████▋      ┫ 8.2M/10.0M [00:53<00:11, 155.9kit/s]

82.4%┣█████████████████████████████▋      ┫ 8.2M/10.0M [00:53<00:11, 155.9kit/s]

82.4%┣█████████████████████████████▊      ┫ 8.2M/10.0M [00:53<00:11, 155.9kit/s]

82.5%┣█████████████████████████████▊      ┫ 8.3M/10.0M [00:53<00:11, 156.0kit/s]

82.7%┣█████████████████████████████▊      ┫ 8.3M/10.0M [00:53<00:11, 156.1kit/s]

82.8%┣█████████████████████████████▉      ┫ 8.3M/10.0M [00:53<00:11, 156.1kit/s]

82.9%┣█████████████████████████████▉      ┫ 8.3M/10.0M [00:53<00:11, 156.2kit/s]

83.0%┣█████████████████████████████▉      ┫ 8.3M/10.0M [00:53<00:11, 156.2kit/s]

83.1%┣██████████████████████████████      ┫ 8.3M/10.0M [00:53<00:11, 156.3kit/s]

83.2%┣██████████████████████████████      ┫ 8.3M/10.0M [00:53<00:11, 156.3kit/s]

83.3%┣██████████████████████████████      ┫ 8.3M/10.0M [00:53<00:11, 156.3kit/s]

83.3%┣██████████████████████████████      ┫ 8.3M/10.0M [00:53<00:11, 156.3kit/s]

83.4%┣██████████████████████████████      ┫ 8.3M/10.0M [00:53<00:11, 156.3kit/s]

83.5%┣██████████████████████████████      ┫ 8.3M/10.0M [00:53<00:11, 156.3kit/s]

83.6%┣██████████████████████████████      ┫ 8.4M/10.0M [00:53<00:11, 156.3kit/s]

83.7%┣██████████████████████████████▏     ┫ 8.4M/10.0M [00:54<00:10, 156.3kit/s]

83.7%┣██████████████████████████████▏     ┫ 8.4M/10.0M [00:54<00:10, 156.3kit/s]

83.8%┣██████████████████████████████▏     ┫ 8.4M/10.0M [00:54<00:10, 156.3kit/s]

83.9%┣██████████████████████████████▏     ┫ 8.4M/10.0M [00:54<00:10, 156.3kit/s]

84.0%┣██████████████████████████████▎     ┫ 8.4M/10.0M [00:54<00:10, 156.4kit/s]

84.1%┣██████████████████████████████▎     ┫ 8.4M/10.0M [00:54<00:10, 156.4kit/s]

84.2%┣██████████████████████████████▎     ┫ 8.4M/10.0M [00:54<00:10, 156.4kit/s]

84.2%┣██████████████████████████████▎     ┫ 8.4M/10.0M [00:54<00:10, 156.4kit/s]

84.3%┣██████████████████████████████▍     ┫ 8.4M/10.0M [00:54<00:10, 156.4kit/s]

84.4%┣██████████████████████████████▍     ┫ 8.4M/10.0M [00:54<00:10, 156.4kit/s]

84.5%┣██████████████████████████████▍     ┫ 8.4M/10.0M [00:54<00:10, 156.4kit/s]

84.6%┣██████████████████████████████▍     ┫ 8.5M/10.0M [00:54<00:10, 156.4kit/s]

84.6%┣██████████████████████████████▌     ┫ 8.5M/10.0M [00:54<00:10, 156.4kit/s]

84.7%┣██████████████████████████████▌     ┫ 8.5M/10.0M [00:54<00:10, 156.4kit/s]

84.8%┣██████████████████████████████▌     ┫ 8.5M/10.0M [00:54<00:10, 156.4kit/s]

84.9%┣██████████████████████████████▋     ┫ 8.5M/10.0M [00:54<00:10, 156.4kit/s]

85.0%┣██████████████████████████████▋     ┫ 8.5M/10.0M [00:54<00:10, 156.4kit/s]

85.1%┣██████████████████████████████▋     ┫ 8.5M/10.0M [00:54<00:10, 156.4kit/s]

85.1%┣██████████████████████████████▋     ┫ 8.5M/10.0M [00:54<00:10, 156.4kit/s]

85.2%┣██████████████████████████████▊     ┫ 8.5M/10.0M [00:54<00:09, 156.4kit/s]

85.3%┣██████████████████████████████▊     ┫ 8.5M/10.0M [00:55<00:09, 156.4kit/s]

85.4%┣██████████████████████████████▊     ┫ 8.5M/10.0M [00:55<00:09, 156.4kit/s]

85.4%┣██████████████████████████████▊     ┫ 8.5M/10.0M [00:55<00:09, 156.4kit/s]

85.5%┣██████████████████████████████▉     ┫ 8.6M/10.0M [00:55<00:09, 156.4kit/s]

85.6%┣██████████████████████████████▉     ┫ 8.6M/10.0M [00:55<00:09, 156.4kit/s]

85.7%┣██████████████████████████████▉     ┫ 8.6M/10.0M [00:55<00:09, 156.4kit/s]

85.8%┣██████████████████████████████▉     ┫ 8.6M/10.0M [00:55<00:09, 156.4kit/s]

85.9%┣███████████████████████████████     ┫ 8.6M/10.0M [00:55<00:09, 156.5kit/s]

86.0%┣███████████████████████████████     ┫ 8.6M/10.0M [00:55<00:09, 156.5kit/s]

86.0%┣███████████████████████████████     ┫ 8.6M/10.0M [00:55<00:09, 156.5kit/s]

86.1%┣███████████████████████████████     ┫ 8.6M/10.0M [00:55<00:09, 156.5kit/s]

86.2%┣███████████████████████████████     ┫ 8.6M/10.0M [00:55<00:09, 156.5kit/s]

86.3%┣███████████████████████████████     ┫ 8.6M/10.0M [00:55<00:09, 156.5kit/s]

86.4%┣███████████████████████████████     ┫ 8.6M/10.0M [00:55<00:09, 156.5kit/s]

86.5%┣███████████████████████████████▏    ┫ 8.6M/10.0M [00:55<00:09, 156.5kit/s]

86.6%┣███████████████████████████████▏    ┫ 8.7M/10.0M [00:55<00:09, 156.6kit/s]

86.7%┣███████████████████████████████▏    ┫ 8.7M/10.0M [00:55<00:09, 156.5kit/s]

86.8%┣███████████████████████████████▎    ┫ 8.7M/10.0M [00:55<00:08, 156.6kit/s]

86.8%┣███████████████████████████████▎    ┫ 8.7M/10.0M [00:55<00:08, 156.6kit/s]

86.9%┣███████████████████████████████▎    ┫ 8.7M/10.0M [00:56<00:08, 156.6kit/s]

87.0%┣███████████████████████████████▎    ┫ 8.7M/10.0M [00:56<00:08, 156.6kit/s]

87.1%┣███████████████████████████████▍    ┫ 8.7M/10.0M [00:56<00:08, 156.6kit/s]

87.2%┣███████████████████████████████▍    ┫ 8.7M/10.0M [00:56<00:08, 156.6kit/s]

87.3%┣███████████████████████████████▍    ┫ 8.7M/10.0M [00:56<00:08, 156.6kit/s]

87.4%┣███████████████████████████████▌    ┫ 8.7M/10.0M [00:56<00:08, 156.6kit/s]

87.5%┣███████████████████████████████▌    ┫ 8.7M/10.0M [00:56<00:08, 156.6kit/s]

87.6%┣███████████████████████████████▌    ┫ 8.8M/10.0M [00:56<00:08, 156.6kit/s]

87.6%┣███████████████████████████████▌    ┫ 8.8M/10.0M [00:56<00:08, 156.7kit/s]

87.7%┣███████████████████████████████▋    ┫ 8.8M/10.0M [00:56<00:08, 156.7kit/s]

87.8%┣███████████████████████████████▋    ┫ 8.8M/10.0M [00:56<00:08, 156.7kit/s]

87.9%┣███████████████████████████████▋    ┫ 8.8M/10.0M [00:56<00:08, 156.7kit/s]

88.0%┣███████████████████████████████▊    ┫ 8.8M/10.0M [00:56<00:08, 156.7kit/s]

88.1%┣███████████████████████████████▊    ┫ 8.8M/10.0M [00:56<00:08, 156.7kit/s]

88.2%┣███████████████████████████████▊    ┫ 8.8M/10.0M [00:56<00:08, 156.7kit/s]

88.3%┣███████████████████████████████▊    ┫ 8.8M/10.0M [00:56<00:07, 156.7kit/s]

88.3%┣███████████████████████████████▉    ┫ 8.8M/10.0M [00:56<00:07, 156.7kit/s]

88.4%┣███████████████████████████████▉    ┫ 8.8M/10.0M [00:56<00:07, 156.7kit/s]

88.5%┣███████████████████████████████▉    ┫ 8.9M/10.0M [00:56<00:07, 156.8kit/s]

88.6%┣████████████████████████████████    ┫ 8.9M/10.0M [00:57<00:07, 156.8kit/s]

88.7%┣████████████████████████████████    ┫ 8.9M/10.0M [00:57<00:07, 156.8kit/s]

88.8%┣████████████████████████████████    ┫ 8.9M/10.0M [00:57<00:07, 156.8kit/s]

88.9%┣████████████████████████████████    ┫ 8.9M/10.0M [00:57<00:07, 156.8kit/s]

88.9%┣████████████████████████████████    ┫ 8.9M/10.0M [00:57<00:07, 156.8kit/s]

89.0%┣████████████████████████████████    ┫ 8.9M/10.0M [00:57<00:07, 156.8kit/s]

89.1%┣████████████████████████████████    ┫ 8.9M/10.0M [00:57<00:07, 156.8kit/s]

89.2%┣████████████████████████████████    ┫ 8.9M/10.0M [00:57<00:07, 156.8kit/s]

89.3%┣████████████████████████████████▏   ┫ 8.9M/10.0M [00:57<00:07, 156.8kit/s]

89.3%┣████████████████████████████████▏   ┫ 8.9M/10.0M [00:57<00:07, 156.8kit/s]

89.4%┣████████████████████████████████▏   ┫ 8.9M/10.0M [00:57<00:07, 156.8kit/s]

89.5%┣████████████████████████████████▏   ┫ 9.0M/10.0M [00:57<00:07, 156.8kit/s]

89.6%┣████████████████████████████████▎   ┫ 9.0M/10.0M [00:57<00:07, 156.8kit/s]

89.7%┣████████████████████████████████▎   ┫ 9.0M/10.0M [00:57<00:07, 156.8kit/s]

89.8%┣████████████████████████████████▎   ┫ 9.0M/10.0M [00:57<00:07, 156.8kit/s]

89.8%┣████████████████████████████████▍   ┫ 9.0M/10.0M [00:57<00:06, 156.8kit/s]

89.9%┣████████████████████████████████▍   ┫ 9.0M/10.0M [00:57<00:06, 156.8kit/s]

90.0%┣████████████████████████████████▍   ┫ 9.0M/10.0M [00:57<00:06, 156.8kit/s]

90.1%┣████████████████████████████████▍   ┫ 9.0M/10.0M [00:57<00:06, 156.8kit/s]

90.1%┣████████████████████████████████▌   ┫ 9.0M/10.0M [00:57<00:06, 156.8kit/s]

90.2%┣████████████████████████████████▌   ┫ 9.0M/10.0M [00:58<00:06, 156.8kit/s]

90.3%┣████████████████████████████████▌   ┫ 9.0M/10.0M [00:58<00:06, 156.8kit/s]

90.4%┣████████████████████████████████▌   ┫ 9.0M/10.0M [00:58<00:06, 156.8kit/s]

90.4%┣████████████████████████████████▋   ┫ 9.0M/10.0M [00:58<00:06, 156.8kit/s]

90.5%┣████████████████████████████████▋   ┫ 9.1M/10.0M [00:58<00:06, 156.8kit/s]

90.6%┣████████████████████████████████▋   ┫ 9.1M/10.0M [00:58<00:06, 156.8kit/s]

90.7%┣████████████████████████████████▋   ┫ 9.1M/10.0M [00:58<00:06, 156.8kit/s]

90.8%┣████████████████████████████████▊   ┫ 9.1M/10.0M [00:58<00:06, 156.8kit/s]

90.8%┣████████████████████████████████▊   ┫ 9.1M/10.0M [00:58<00:06, 156.8kit/s]

90.9%┣████████████████████████████████▊   ┫ 9.1M/10.0M [00:58<00:06, 156.8kit/s]

91.0%┣████████████████████████████████▊   ┫ 9.1M/10.0M [00:58<00:06, 156.8kit/s]

91.1%┣████████████████████████████████▉   ┫ 9.1M/10.0M [00:58<00:06, 156.8kit/s]

91.2%┣████████████████████████████████▉   ┫ 9.1M/10.0M [00:58<00:06, 156.8kit/s]

91.3%┣████████████████████████████████▉   ┫ 9.1M/10.0M [00:58<00:06, 156.8kit/s]

91.3%┣████████████████████████████████▉   ┫ 9.1M/10.0M [00:58<00:06, 156.8kit/s]

91.4%┣█████████████████████████████████   ┫ 9.1M/10.0M [00:58<00:05, 156.8kit/s]

91.5%┣█████████████████████████████████   ┫ 9.1M/10.0M [00:58<00:05, 156.8kit/s]

91.6%┣█████████████████████████████████   ┫ 9.2M/10.0M [00:58<00:05, 156.8kit/s]

91.6%┣█████████████████████████████████   ┫ 9.2M/10.0M [00:58<00:05, 156.8kit/s]

91.7%┣█████████████████████████████████   ┫ 9.2M/10.0M [00:58<00:05, 156.8kit/s]

91.8%┣█████████████████████████████████   ┫ 9.2M/10.0M [00:59<00:05, 156.8kit/s]

91.9%┣█████████████████████████████████   ┫ 9.2M/10.0M [00:59<00:05, 156.8kit/s]

92.0%┣█████████████████████████████████▏  ┫ 9.2M/10.0M [00:59<00:05, 156.8kit/s]

92.1%┣█████████████████████████████████▏  ┫ 9.2M/10.0M [00:59<00:05, 156.8kit/s]

92.2%┣█████████████████████████████████▏  ┫ 9.2M/10.0M [00:59<00:05, 156.8kit/s]

92.3%┣█████████████████████████████████▏  ┫ 9.2M/10.0M [00:59<00:05, 156.9kit/s]

92.3%┣█████████████████████████████████▎  ┫ 9.2M/10.0M [00:59<00:05, 156.9kit/s]

92.4%┣█████████████████████████████████▎  ┫ 9.2M/10.0M [00:59<00:05, 156.9kit/s]

92.5%┣█████████████████████████████████▎  ┫ 9.3M/10.0M [00:59<00:05, 156.9kit/s]

92.6%┣█████████████████████████████████▍  ┫ 9.3M/10.0M [00:59<00:05, 156.9kit/s]

92.7%┣█████████████████████████████████▍  ┫ 9.3M/10.0M [00:59<00:05, 156.9kit/s]

92.8%┣█████████████████████████████████▍  ┫ 9.3M/10.0M [00:59<00:05, 156.9kit/s]

92.9%┣█████████████████████████████████▍  ┫ 9.3M/10.0M [00:59<00:05, 156.9kit/s]

93.0%┣█████████████████████████████████▌  ┫ 9.3M/10.0M [00:59<00:04, 156.9kit/s]

93.0%┣█████████████████████████████████▌  ┫ 9.3M/10.0M [00:59<00:04, 156.9kit/s]

93.1%┣█████████████████████████████████▌  ┫ 9.3M/10.0M [00:59<00:04, 157.0kit/s]

93.2%┣█████████████████████████████████▋  ┫ 9.3M/10.0M [00:59<00:04, 157.0kit/s]

93.3%┣█████████████████████████████████▋  ┫ 9.3M/10.0M [00:59<00:04, 157.0kit/s]

93.4%┣█████████████████████████████████▋  ┫ 9.3M/10.0M [01:00<00:04, 157.0kit/s]

93.5%┣█████████████████████████████████▋  ┫ 9.3M/10.0M [01:00<00:04, 157.0kit/s]

93.6%┣█████████████████████████████████▊  ┫ 9.4M/10.0M [01:00<00:04, 157.0kit/s]

93.7%┣█████████████████████████████████▊  ┫ 9.4M/10.0M [01:00<00:04, 157.0kit/s]

93.8%┣█████████████████████████████████▊  ┫ 9.4M/10.0M [01:00<00:04, 157.0kit/s]

93.9%┣█████████████████████████████████▉  ┫ 9.4M/10.0M [01:00<00:04, 157.0kit/s]

93.9%┣█████████████████████████████████▉  ┫ 9.4M/10.0M [01:00<00:04, 157.0kit/s]

94.0%┣█████████████████████████████████▉  ┫ 9.4M/10.0M [01:00<00:04, 157.1kit/s]

94.1%┣█████████████████████████████████▉  ┫ 9.4M/10.0M [01:00<00:04, 157.1kit/s]

94.2%┣██████████████████████████████████  ┫ 9.4M/10.0M [01:00<00:04, 157.1kit/s]

94.3%┣██████████████████████████████████  ┫ 9.4M/10.0M [01:00<00:04, 157.1kit/s]

94.4%┣██████████████████████████████████  ┫ 9.4M/10.0M [01:00<00:04, 157.1kit/s]

94.5%┣██████████████████████████████████  ┫ 9.4M/10.0M [01:00<00:04, 157.1kit/s]

94.5%┣██████████████████████████████████  ┫ 9.5M/10.0M [01:00<00:03, 157.1kit/s]

94.6%┣██████████████████████████████████  ┫ 9.5M/10.0M [01:00<00:03, 157.1kit/s]

94.7%┣██████████████████████████████████  ┫ 9.5M/10.0M [01:00<00:03, 157.1kit/s]

94.8%┣██████████████████████████████████▏ ┫ 9.5M/10.0M [01:00<00:03, 157.1kit/s]

94.8%┣██████████████████████████████████▏ ┫ 9.5M/10.0M [01:00<00:03, 157.1kit/s]

94.9%┣██████████████████████████████████▏ ┫ 9.5M/10.0M [01:00<00:03, 157.1kit/s]

95.0%┣██████████████████████████████████▏ ┫ 9.5M/10.0M [01:00<00:03, 157.1kit/s]

95.1%┣██████████████████████████████████▎ ┫ 9.5M/10.0M [01:01<00:03, 157.1kit/s]

95.2%┣██████████████████████████████████▎ ┫ 9.5M/10.0M [01:01<00:03, 157.1kit/s]

95.3%┣██████████████████████████████████▎ ┫ 9.5M/10.0M [01:01<00:03, 157.1kit/s]

95.4%┣██████████████████████████████████▎ ┫ 9.5M/10.0M [01:01<00:03, 157.1kit/s]

95.4%┣██████████████████████████████████▍ ┫ 9.5M/10.0M [01:01<00:03, 157.2kit/s]

95.5%┣██████████████████████████████████▍ ┫ 9.6M/10.0M [01:01<00:03, 157.2kit/s]

95.6%┣██████████████████████████████████▍ ┫ 9.6M/10.0M [01:01<00:03, 157.2kit/s]

95.7%┣██████████████████████████████████▌ ┫ 9.6M/10.0M [01:01<00:03, 157.2kit/s]

95.8%┣██████████████████████████████████▌ ┫ 9.6M/10.0M [01:01<00:03, 157.2kit/s]

95.9%┣██████████████████████████████████▌ ┫ 9.6M/10.0M [01:01<00:03, 157.2kit/s]

96.0%┣██████████████████████████████████▌ ┫ 9.6M/10.0M [01:01<00:03, 157.2kit/s]

96.0%┣██████████████████████████████████▋ ┫ 9.6M/10.0M [01:01<00:03, 157.2kit/s]

96.1%┣██████████████████████████████████▋ ┫ 9.6M/10.0M [01:01<00:02, 157.2kit/s]

96.2%┣██████████████████████████████████▋ ┫ 9.6M/10.0M [01:01<00:02, 157.2kit/s]

96.3%┣██████████████████████████████████▋ ┫ 9.6M/10.0M [01:01<00:02, 157.2kit/s]

96.4%┣██████████████████████████████████▊ ┫ 9.6M/10.0M [01:01<00:02, 157.2kit/s]

96.4%┣██████████████████████████████████▊ ┫ 9.6M/10.0M [01:01<00:02, 157.2kit/s]

96.5%┣██████████████████████████████████▊ ┫ 9.7M/10.0M [01:01<00:02, 157.2kit/s]

96.6%┣██████████████████████████████████▊ ┫ 9.7M/10.0M [01:01<00:02, 157.2kit/s]

96.7%┣██████████████████████████████████▉ ┫ 9.7M/10.0M [01:02<00:02, 157.2kit/s]

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------------------------------------------------------------------------------------------
⏳ Plotting... 
DalitzPlot Tests: Error During Test at /home/pkgeval/.julia/packages/DalitzPlot/vFSs1/test/runtests.jl:5
  Got exception outside of a @test
  SystemError: opening file "/home/pkgeval/.julia/packages/DalitzPlot/vFSs1/test/DP.png": Permission denied
  Stacktrace:
    [1] systemerror(p::String, errno::Int32; extrainfo::Nothing)
      @ Base ./error.jl:188
    [2] open(fname::String; lock::Bool, read::Nothing, write::Nothing, create::Nothing, truncate::Bool, append::Nothing)
      @ Base ./iostream.jl:327
    [3] open
      @ ./iostream.jl:306 [inlined]
    [4] open(fname::String, mode::String; lock::Bool)
      @ Base ./iostream.jl:390
    [5] open(fname::String, mode::String)
      @ Base ./iostream.jl:389
    [6] open(::Plots.var"#png##0#png##1"{Plots.Plot{Plots.GRBackend}}, ::String, ::Vararg{String}; kwargs::@Kwargs{})
      @ Base ./io.jl:427
    [7] open
      @ ./io.jl:426 [inlined]
    [8] png(plt::Plots.Plot{Plots.GRBackend}, fn::String)
      @ Plots ~/.julia/packages/Plots/GIume/src/output.jl:5
    [9] savefig(plt::Plots.Plot{Plots.GRBackend}, fn::String)
      @ Plots ~/.julia/packages/Plots/GIume/src/output.jl:148
   [10] savefig(fn::String)
      @ Plots ~/.julia/packages/Plots/GIume/src/output.jl:153
   [11] plotD(res::@NamedTuple{cs0::Vector{Float64}, cs1::Vector{Matrix{Float64}}, cs2::Vector{Matrix{Float64}}, axesV::Vector{Vector{Float64}}, laxes::Vector{Vector{Vector{Int64}}}, proc::@NamedTuple{pf::Vector{String}, mi::Vector{Float64}, mf::Vector{Float64}, namei::Vector{String}, namef::Vector{String}, amps::var"#amps#amps##0"}}; cg::PlotUtils.ContinuousColorGradient, topx::Vector{Any}, topy::Vector{Any}, topye::Vector{Any}, rightx::Vector{Any}, righty::Vector{Any}, rightye::Vector{Any}, toprightx::Vector{Any}, toprighty::Vector{Any}, toprightye::Vector{Any}, filename::String)
      @ DalitzPlot.PLOT ~/.julia/packages/DalitzPlot/vFSs1/src/PLOT.jl:153
   [12] (::var"#main#main##0"{var"#amps#amps##0"})()
      @ Main ~/.julia/packages/DalitzPlot/vFSs1/test/runtests.jl:74
   [13] top-level scope
      @ ~/.julia/packages/DalitzPlot/vFSs1/test/runtests.jl:8
   [14] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2246 [inlined]
   [15] macro expansion
      @ ~/.julia/packages/DalitzPlot/vFSs1/test/runtests.jl:77 [inlined]
   [16] include(mapexpr::Function, mod::Module, _path::String)
      @ Base ./Base.jl:327
   [17] top-level scope
      @ none:6
   [18] eval(m::Module, e::Any)
      @ Core ./boot.jl:517
   [19] exec_options(opts::Base.JLOptions)
      @ Base ./client.jl:318
   [20] _start()
      @ Base ./client.jl:593
Test Summary:    | Error  Total     Time
DalitzPlot Tests |     1      1  2m50.5s
RNG of the outermost testset: Random.Xoshiro(0x2086475771c1214c, 0x4768e30dcafc7b83, 0xd8ba8bf8204405aa, 0x48ca2ab672d13740, 0x2fecd75697c332e7)
ERROR: LoadError: Some tests did not pass: 0 passed, 0 failed, 1 errored, 0 broken.
in expression starting at /home/pkgeval/.julia/packages/DalitzPlot/vFSs1/test/runtests.jl:5

Testing failed after 217.5s

ERROR: LoadError: Package DalitzPlot errored during testing
Stacktrace:
  [1] pkgerror(msg::String)
    @ Pkg.Types /opt/julia/share/julia/stdlib/v1.14/Pkg/src/Types.jl:68
  [2] test(ctx::Pkg.Types.Context, pkgs::Vector{PackageSpec}; coverage::Bool, julia_args::Cmd, test_args::Cmd, test_fn::Nothing, force_latest_compatible_version::Bool, allow_earlier_backwards_compatible_versions::Bool, allow_reresolve::Bool)
    @ Pkg.Operations /opt/julia/share/julia/stdlib/v1.14/Pkg/src/Operations.jl:3162
  [3] Cmd(cmd::Cmd)
    @ Base /opt/julia/share/julia/stdlib/v1.14/Pkg/src/Operations.jl:3025 [inlined]
  [4] test(ctx::Pkg.Types.Context, pkgs::Vector{PackageSpec}; coverage::Bool, test_fn::Nothing, julia_args::Cmd, test_args::Cmd, force_latest_compatible_version::Bool, allow_earlier_backwards_compatible_versions::Bool, allow_reresolve::Bool, kwargs::@Kwargs{io::IOContext{IO}})
    @ Pkg.API /opt/julia/share/julia/stdlib/v1.14/Pkg/src/API.jl:586
  [5] test(pkgs::Vector{PackageSpec}; io::IOContext{IO}, kwargs::@Kwargs{julia_args::Cmd})
    @ Pkg.API /opt/julia/share/julia/stdlib/v1.14/Pkg/src/API.jl:172
  [6] test(pkgs::Vector{String}; kwargs::@Kwargs{julia_args::Cmd})
    @ Pkg.API /opt/julia/share/julia/stdlib/v1.14/Pkg/src/API.jl:160
  [7] test
    @ /opt/julia/share/julia/stdlib/v1.14/Pkg/src/API.jl:160 [inlined]
  [8] test(pkg::String; kwargs::@Kwargs{julia_args::Cmd})
    @ Pkg.API /opt/julia/share/julia/stdlib/v1.14/Pkg/src/API.jl:159 [inlined]
  [9] top-level scope
    @ /PkgEval.jl/scripts/evaluate.jl:223
 [10] include(mod::Module, _path::String)
    @ Base ./Base.jl:326
 [11] exec_options(opts::Base.JLOptions)
    @ Base ./client.jl:352
 [12] _start()
    @ Base ./client.jl:593
in expression starting at /PkgEval.jl/scripts/evaluate.jl:214

PkgEval failed after 1072.74s: networking-related issues were detected