Package evaluation of Intervals on Julia 1.12.0-rc2.1 (084dab1917*) started at 2025-09-12T05:29:31.492 ################################################################################ # Set-up # Installing PkgEval dependencies (TestEnv)... Set-up completed after 8.54s ################################################################################ # Installation # Installing Intervals... Resolving package versions... Updating `~/.julia/environments/v1.12/Project.toml` [d8418881] + Intervals v1.10.0 Updating `~/.julia/environments/v1.12/Manifest.toml` [34da2185] + Compat v4.18.0 [e2ba6199] + ExprTools v0.1.10 [842dd82b] + InlineStrings v1.4.5 [d8418881] + Intervals v1.10.0 [78c3b35d] + Mocking v0.8.1 [aea7be01] + PrecompileTools v1.3.3 [21216c6a] + Preferences v1.5.0 [3cdcf5f2] + RecipesBase v1.3.4 [6c6a2e73] + Scratch v1.3.0 [dc5dba14] + TZJData v1.5.0+2025b [f269a46b] + TimeZones v1.22.0 [0dad84c5] + ArgTools v1.1.2 [56f22d72] + Artifacts v1.11.0 [ade2ca70] + Dates v1.11.0 [f43a241f] + Downloads v1.6.0 [7b1f6079] + FileWatching v1.11.0 [b27032c2] + LibCURL v0.6.4 [8f399da3] + Libdl v1.11.0 [ca575930] + NetworkOptions v1.3.0 [de0858da] + Printf v1.11.0 [9a3f8284] + Random v1.11.0 [ea8e919c] + SHA v0.7.0 [9e88b42a] + Serialization v1.11.0 [fa267f1f] + TOML v1.0.3 [cf7118a7] + UUIDs v1.11.0 [4ec0a83e] + Unicode v1.11.0 [deac9b47] + LibCURL_jll v8.11.1+1 [29816b5a] + LibSSH2_jll v1.11.3+1 [14a3606d] + MozillaCACerts_jll v2025.5.20 [458c3c95] + OpenSSL_jll v3.5.1+0 [83775a58] + Zlib_jll v1.3.1+2 [8e850ede] + nghttp2_jll v1.64.0+1 [3f19e933] + p7zip_jll v17.5.0+2 Installation completed after 1.54s ################################################################################ # Precompilation # Precompiling PkgEval dependencies... Precompiling package dependencies... Precompilation completed after 73.85s ################################################################################ # Testing # Testing Intervals Status `/tmp/jl_fndClO/Project.toml` ⌅ [e30172f5] Documenter v0.27.25 [6218d12a] ImageMagick v1.4.2 [a303e19e] Infinity v0.2.4 [d8418881] Intervals v1.10.0 [41ab1584] InvertedIndices v1.3.1 [91a5bcdd] Plots v1.40.19 [860ef19b] StableRNGs v1.0.3 [f269a46b] TimeZones v1.22.0 [0f7cfa37] UTCDateTimes v1.6.1 [34922c18] VisualRegressionTests v1.4.0 [ade2ca70] Dates v1.11.0 [9a3f8284] Random v1.11.0 [9e88b42a] Serialization v1.11.0 [8dfed614] Test v1.11.0 Status `/tmp/jl_fndClO/Manifest.toml` [a4c015fc] ANSIColoredPrinters v0.0.1 [621f4979] AbstractFFTs v1.5.0 [79e6a3ab] Adapt v4.3.0 [66dad0bd] AliasTables v1.1.3 [4fba245c] ArrayInterface v7.20.0 [d1d4a3ce] BitFlags v0.1.9 [62783981] BitTwiddlingConvenienceFunctions v0.1.6 [2a0fbf3d] CPUSummary v0.2.7 [aafaddc9] CatIndices v0.2.2 [fb6a15b2] CloseOpenIntervals v0.1.13 [944b1d66] CodecZlib v0.7.8 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Testing Running tests... Precompiling packages... 1795.2 ms ✓ Infinity 1 dependency successfully precompiled in 2 seconds. 5 already precompiled. Precompiling packages... 8238.6 ms ✓ TimeZones 5036.9 ms ✓ TimeZones → TimeZonesRecipesBaseExt 15152.7 ms ✓ Intervals 3 dependencies successfully precompiled in 29 seconds. 27 already precompiled. Precompiling packages... Info Given UTCDateTimes was explicitly requested, output will be shown live  WARNING: Constructor for type "DateTime" was extended in `UTCDateTimes` without explicit qualification or import.  NOTE: Assumed "DateTime" refers to `.DateTime`. This behavior is deprecated and may differ in future versions.`  NOTE: This behavior may have differed in Julia versions prior to 1.12.  Hint: If you intended to create a new generic function of the same name, use `function DateTime end`.  Hint: To silence the warning, qualify `DateTime` as `.DateTime` in the method signature or explicitly `import : DateTime`. 13428.6 ms ✓ UTCDateTimes 1 dependency successfully precompiled in 13 seconds. 24 already precompiled. 1 dependency had output during precompilation: ┌ UTCDateTimes │ [Output was shown above] └ WARNING: Constructor for type "Inclusivity" was extended in `Main` without explicit qualification or import. NOTE: Assumed "Inclusivity" refers to `Intervals.Inclusivity`. This behavior is deprecated and may differ in future versions.` NOTE: This behavior may have differed in Julia versions prior to 1.12. Hint: If you intended to create a new generic function of the same name, use `function Inclusivity end`. Hint: To silence the warning, qualify `Inclusivity` as `Intervals.Inclusivity` in the method signature or explicitly `import Intervals: Inclusivity`. ┌ Warning: `Inclusivity(::Bool, ::Bool)` is deprecated and has no direct replacement. See `Interval` or `AnchoredInterval` constructors for alternatives. │ caller = top-level scope at inclusivity.jl:4 └ @ Core ~/.julia/packages/Intervals/V53WF/test/inclusivity.jl:4 ┌ Warning: `Inclusivity(::Integer)` is deprecated and has no direct replacement. See `Interval` or `AnchoredInterval` constructors for alternatives. │ caller = top-level scope at inclusivity.jl:4 └ @ Core ~/.julia/packages/Intervals/V53WF/test/inclusivity.jl:4 ┌ Warning: `Inclusivity(::Bool, ::Bool)` is deprecated and has no direct replacement. See `Interval` or `AnchoredInterval` constructors for alternatives. │ caller = top-level scope at inclusivity.jl:4 └ @ Core ~/.julia/packages/Intervals/V53WF/test/inclusivity.jl:4 ┌ Warning: `Inclusivity(::Integer)` is deprecated and has no direct replacement. See `Interval` or `AnchoredInterval` constructors for alternatives. │ caller = top-level scope at inclusivity.jl:4 └ @ Core ~/.julia/packages/Intervals/V53WF/test/inclusivity.jl:4 ┌ Warning: `Inclusivity(::Bool, ::Bool)` is deprecated and has no direct replacement. See `Interval` or `AnchoredInterval` constructors for alternatives. │ caller = top-level scope at inclusivity.jl:4 └ @ Core ~/.julia/packages/Intervals/V53WF/test/inclusivity.jl:4 ┌ Warning: `Inclusivity(::Integer)` is deprecated and has no direct replacement. See `Interval` or `AnchoredInterval` constructors for alternatives. │ caller = top-level scope at inclusivity.jl:4 └ @ Core ~/.julia/packages/Intervals/V53WF/test/inclusivity.jl:4 ┌ Warning: `Inclusivity(::Bool, ::Bool)` is deprecated and has no direct replacement. See `Interval` or `AnchoredInterval` constructors for alternatives. │ caller = top-level scope at inclusivity.jl:4 └ @ Core ~/.julia/packages/Intervals/V53WF/test/inclusivity.jl:4 ┌ Warning: `Inclusivity(::Integer)` is deprecated and has no direct replacement. See `Interval` or `AnchoredInterval` constructors for alternatives. │ caller = top-level scope at inclusivity.jl:4 └ @ Core ~/.julia/packages/Intervals/V53WF/test/inclusivity.jl:4 ┌ Warning: `Inclusivity(::Bool, ::Bool)` is deprecated and has no direct replacement. See `Interval` or `AnchoredInterval` constructors for alternatives. │ caller = top-level scope at inclusivity.jl:4 └ @ Core ~/.julia/packages/Intervals/V53WF/test/inclusivity.jl:4 ┌ Warning: `Inclusivity(::Bool, ::Bool)` is deprecated and has no direct replacement. See `Interval` or `AnchoredInterval` constructors for alternatives. │ caller = top-level scope at inclusivity.jl:4 └ @ Core ~/.julia/packages/Intervals/V53WF/test/inclusivity.jl:4 ┌ Warning: `Inclusivity(::Bool, ::Bool)` is deprecated and has no direct replacement. See `Interval` or `AnchoredInterval` constructors for alternatives. │ caller = top-level scope at inclusivity.jl:4 └ @ Core ~/.julia/packages/Intervals/V53WF/test/inclusivity.jl:4 ┌ Warning: `Inclusivity(::Bool, ::Bool)` is deprecated and has no direct replacement. See `Interval` or `AnchoredInterval` constructors for alternatives. │ caller = top-level scope at inclusivity.jl:4 └ @ Core ~/.julia/packages/Intervals/V53WF/test/inclusivity.jl:4 ┌ Warning: `Inclusivity(::Integer)` is deprecated and has no direct replacement. See `Interval` or `AnchoredInterval` constructors for alternatives. │ caller = top-level scope at inclusivity.jl:4 └ @ Core ~/.julia/packages/Intervals/V53WF/test/inclusivity.jl:4 ┌ Warning: `Inclusivity(::Bool, ::Bool)` is deprecated and has no direct replacement. See `Interval` or `AnchoredInterval` constructors for alternatives. │ caller = top-level scope at inclusivity.jl:4 └ @ Core ~/.julia/packages/Intervals/V53WF/test/inclusivity.jl:4 ┌ Warning: `Inclusivity(::Bool, ::Bool)` is deprecated and has no direct replacement. See `Interval` or `AnchoredInterval` constructors for alternatives. │ caller = top-level scope at inclusivity.jl:4 └ @ Core ~/.julia/packages/Intervals/V53WF/test/inclusivity.jl:4 ┌ Warning: `Inclusivity(::Bool, ::Bool)` is deprecated and has no direct replacement. See `Interval` or `AnchoredInterval` constructors for alternatives. │ caller = top-level scope at inclusivity.jl:4 └ @ Core ~/.julia/packages/Intervals/V53WF/test/inclusivity.jl:4 ┌ Warning: `Inclusivity(::Bool, ::Bool)` is deprecated and has no direct replacement. See `Interval` or `AnchoredInterval` constructors for alternatives. │ caller = top-level scope at inclusivity.jl:4 └ @ Core ~/.julia/packages/Intervals/V53WF/test/inclusivity.jl:4 ┌ Warning: `Inclusivity(::Bool, ::Bool)` is deprecated and has no direct replacement. See `Interval` or `AnchoredInterval` constructors for alternatives. │ caller = top-level scope at inclusivity.jl:4 └ @ Core ~/.julia/packages/Intervals/V53WF/test/inclusivity.jl:4 ┌ Warning: `Inclusivity(::Bool, ::Bool)` is deprecated and has no direct replacement. See `Interval` or `AnchoredInterval` constructors for alternatives. │ caller = top-level scope at inclusivity.jl:4 └ @ Core ~/.julia/packages/Intervals/V53WF/test/inclusivity.jl:4 ┌ Warning: `Inclusivity(::Bool, ::Bool)` is deprecated and has no direct replacement. See `Interval` or `AnchoredInterval` constructors for alternatives. │ caller = top-level scope at inclusivity.jl:4 └ @ Core ~/.julia/packages/Intervals/V53WF/test/inclusivity.jl:4 ┌ Warning: `Inclusivity(::Bool, ::Bool)` is deprecated and has no direct replacement. See `Interval` or `AnchoredInterval` constructors for alternatives. │ caller = top-level scope at inclusivity.jl:4 └ @ Core ~/.julia/packages/Intervals/V53WF/test/inclusivity.jl:4 ┌ Warning: `Inclusivity(::Integer)` is deprecated and has no direct replacement. See `Interval` or `AnchoredInterval` constructors for alternatives. │ caller = top-level scope at inclusivity.jl:4 └ @ Core ~/.julia/packages/Intervals/V53WF/test/inclusivity.jl:4 ┌ Warning: `Inclusivity(::Integer)` is deprecated and has no direct replacement. See `Interval` or `AnchoredInterval` constructors for alternatives. │ caller = top-level scope at inclusivity.jl:4 └ @ Core ~/.julia/packages/Intervals/V53WF/test/inclusivity.jl:4 ┌ Warning: `Inclusivity(::Integer)` is deprecated and has no direct replacement. See `Interval` or `AnchoredInterval` constructors for alternatives. │ caller = top-level scope at inclusivity.jl:4 └ @ Core ~/.julia/packages/Intervals/V53WF/test/inclusivity.jl:4 ┌ Warning: `Inclusivity(::Integer)` is deprecated and has no direct replacement. See `Interval` or `AnchoredInterval` constructors for alternatives. │ caller = top-level scope at inclusivity.jl:4 └ @ Core ~/.julia/packages/Intervals/V53WF/test/inclusivity.jl:4 ┌ Warning: `Inclusivity(::Integer)` is deprecated and has no direct replacement. See `Interval` or `AnchoredInterval` constructors for alternatives. │ caller = top-level scope at inclusivity.jl:4 └ @ Core ~/.julia/packages/Intervals/V53WF/test/inclusivity.jl:4 ┌ Warning: `Inclusivity(::Integer)` is deprecated and has no direct replacement. See `Interval` or `AnchoredInterval` constructors for alternatives. │ caller = top-level scope at inclusivity.jl:4 └ @ Core ~/.julia/packages/Intervals/V53WF/test/inclusivity.jl:4 ┌ Warning: `Inclusivity(::Integer)` is deprecated and has no direct replacement. See `Interval` or `AnchoredInterval` constructors for alternatives. │ caller = top-level scope at inclusivity.jl:4 └ @ Core ~/.julia/packages/Intervals/V53WF/test/inclusivity.jl:4 ┌ Warning: `Inclusivity(::Integer)` is deprecated and has no direct replacement. See `Interval` or `AnchoredInterval` constructors for alternatives. │ caller = top-level scope at inclusivity.jl:4 └ @ Core ~/.julia/packages/Intervals/V53WF/test/inclusivity.jl:4 ┌ Warning: `Inclusivity(::Integer)` is deprecated and has no direct replacement. See `Interval` or `AnchoredInterval` constructors for alternatives. │ caller = top-level scope at inclusivity.jl:4 └ @ Core ~/.julia/packages/Intervals/V53WF/test/inclusivity.jl:4 ┌ Warning: `Inclusivity(::Integer)` is deprecated and has no direct replacement. See `Interval` or `AnchoredInterval` constructors for alternatives. │ caller = top-level scope at inclusivity.jl:4 └ @ Core ~/.julia/packages/Intervals/V53WF/test/inclusivity.jl:4 ┌ Warning: `Inclusivity(::Integer)` is deprecated and has no direct replacement. See `Interval` or `AnchoredInterval` constructors for alternatives. │ caller = iterate at generator.jl:48 [inlined] └ @ Core ./generator.jl:48 ┌ Warning: `Inclusivity(::Integer)` is deprecated and has no direct replacement. See `Interval` or `AnchoredInterval` constructors for alternatives. │ caller = iterate at generator.jl:48 [inlined] └ @ Core ./generator.jl:48 ┌ Warning: `Inclusivity(::Integer)` is deprecated and has no direct replacement. See `Interval` or `AnchoredInterval` constructors for alternatives. │ caller = iterate at generator.jl:48 [inlined] └ @ Core ./generator.jl:48 ┌ Warning: `Inclusivity(::Integer)` is deprecated and has no direct replacement. See `Interval` or `AnchoredInterval` constructors for alternatives. │ caller = iterate at generator.jl:48 [inlined] └ @ Core ./generator.jl:48 ┌ Warning: `Inclusivity(::Bool, ::Bool)` is deprecated and has no direct replacement. See `Interval` or `AnchoredInterval` constructors for alternatives. │ caller = top-level scope at interval.jl:2 └ @ Core ~/.julia/packages/Intervals/V53WF/test/interval.jl:2 ┌ Warning: `Inclusivity(::Bool, ::Bool)` is deprecated and has no direct replacement. See `Interval` or `AnchoredInterval` constructors for alternatives. │ caller = top-level scope at interval.jl:2 └ @ Core ~/.julia/packages/Intervals/V53WF/test/interval.jl:2 ┌ Warning: `Inclusivity(::Bool, ::Bool)` is deprecated and has no direct replacement. See `Interval` or `AnchoredInterval` constructors for alternatives. │ caller = top-level scope at interval.jl:2 └ @ Core ~/.julia/packages/Intervals/V53WF/test/interval.jl:2 ┌ Warning: `Inclusivity(::Bool, ::Bool)` is deprecated and has no direct replacement. See `Interval` or `AnchoredInterval` constructors for alternatives. │ caller = top-level scope at interval.jl:2 └ @ Core ~/.julia/packages/Intervals/V53WF/test/interval.jl:2 ┌ Warning: `Inclusivity(::Bool, ::Bool)` is deprecated and has no direct replacement. See `Interval` or `AnchoredInterval` constructors for alternatives. │ caller = top-level scope at interval.jl:2 └ @ Core ~/.julia/packages/Intervals/V53WF/test/interval.jl:2 ┌ Warning: `Inclusivity(::Bool, ::Bool)` is deprecated and has no direct replacement. See `Interval` or `AnchoredInterval` constructors for alternatives. │ caller = top-level scope at anchoredinterval.jl:4 └ @ Core ~/.julia/packages/Intervals/V53WF/test/anchoredinterval.jl:4 ┌ Warning: `Inclusivity(::Bool, ::Bool)` is deprecated and has no direct replacement. See `Interval` or `AnchoredInterval` constructors for alternatives. │ caller = top-level scope at anchoredinterval.jl:4 └ @ Core ~/.julia/packages/Intervals/V53WF/test/anchoredinterval.jl:4 ┌ Warning: `Inclusivity(::Bool, ::Bool)` is deprecated and has no direct replacement. See `Interval` or `AnchoredInterval` constructors for alternatives. │ caller = top-level scope at anchoredinterval.jl:4 └ @ Core ~/.julia/packages/Intervals/V53WF/test/anchoredinterval.jl:4 Precompiling packages... 123056.4 ms ✓ Plots 19154.9 ms ✓ Plots → UnitfulExt 2 dependencies successfully precompiled in 144 seconds. 180 already precompiled. Precompiling packages... 35677.6 ms ✓ ImageCore 1436.5 ms ✓ libzip_jll 12810.5 ms ✓ StaticArrayInterface 5140.0 ms ✓ IntelOpenMP_jll 1437.9 ms ✓ LittleCMS_jll 1767.7 ms ✓ libwebp_jll 4342.3 ms ✓ ImageBase 2029.5 ms ✓ StaticArrayInterface → StaticArrayInterfaceStaticArraysExt 1061.9 ms ✓ StaticArrayInterface → StaticArrayInterfaceOffsetArraysExt 1125.8 ms ✓ CloseOpenIntervals 1551.8 ms ✓ LayoutPointers 4925.4 ms ✓ MKL_jll 3036.2 ms ✓ OpenJpeg_jll 1956.7 ms ✓ TiledIteration 17394.1 ms ✓ VectorizationBase 7401.8 ms ✓ FFTW 2255.9 ms ✓ ImageMagick_jll 6188.0 ms ✓ SLEEFPirates 1137.3 ms ✓ FFTViews 12229.9 ms ✓ ImageMagick 49810.0 ms ✓ LoopVectorization 101769.5 ms ✓ ImageFiltering 22231.9 ms ✓ ImageMorphology 9018.5 ms ✓ ImageDistances 17313.8 ms ✓ VisualRegressionTests 25 dependencies successfully precompiled in 326 seconds. 101 already precompiled. Precompiling packages... HTTP Waiting for background task / IO / timer. [pid 159] waiting for IO to finish: Handle type uv_handle_t->data This means that a package has started a background task or event source that has not finished running. For precompilation to complete successfully, the event source needs to be closed explicitly. See the developer documentation on fixing precompilation hangs for more help. [pid 159] waiting for IO to finish: Handle type uv_handle_t->data This means that a package has started a background task or event source that has not finished running. For precompilation to complete successfully, the event source needs to be closed explicitly. See the developer documentation on fixing precompilation hangs for more help. [pid 159] waiting for IO to finish: Handle type uv_handle_t->data This means that a package has started a background task or event source that has not finished running. For precompilation to complete successfully, the event source needs to be closed explicitly. See the developer documentation on fixing precompilation hangs for more help. [pid 159] waiting for IO to finish: Handle type uv_handle_t->data This means that a package has started a background task or event source that has not finished running. For precompilation to complete successfully, the event source needs to be closed explicitly. See the developer documentation on fixing precompilation hangs for more help. [pid 159] waiting for IO to finish: Handle type uv_handle_t->data This means that a package has started a background task or event source that has not finished running. For precompilation to complete successfully, the event source needs to be closed explicitly. See the developer documentation on fixing precompilation hangs for more help. [pid 159] waiting for IO to finish: Handle type uv_handle_t->data This means that a package has started a background task or event source that has not finished running. For precompilation to complete successfully, the event source needs to be closed explicitly. See the developer documentation on fixing precompilation hangs for more help. [pid 159] waiting for IO to finish: Handle type uv_handle_t->data This means that a package has started a background task or event source that has not finished running. For precompilation to complete successfully, the event source needs to be closed explicitly. See the developer documentation on fixing precompilation hangs for more help. 161858.2 ms ✓ HTTP 6161.9 ms ✓ FileIO → HTTPExt Info Given FileIOExt was explicitly requested, output will be shown live   ====================================================================================== Information request received. A stacktrace will print followed by a 1.0 second profile ======================================================================================  cmd: /opt/julia/bin/julia 171 running 1 of 1  signal (10): User defined signal 1 obviously_in_union at /source/src/subtype.c:531 obviously_in_union at /source/src/subtype.c:534 subtype at /source/src/subtype.c:1416 subtype_unionall at /source/src/subtype.c:972 subtype at /source/src/subtype.c:1508 exists_subtype at /source/src/subtype.c:1791 [inlined] forall_exists_subtype at /source/src/subtype.c:1820 sub_msp at /source/src/subtype.c:5086 type_morespecific_ at /source/src/subtype.c:5345 type_morespecific_ at /source/src/subtype.c:5348 type_morespecific_ at /source/src/subtype.c:5348 type_morespecific_ at /source/src/subtype.c:5348 type_morespecific_ at /source/src/subtype.c:5348 type_morespecific_ at /source/src/subtype.c:5384 type_morespecific_ at /source/src/subtype.c:5383 type_morespecific_ at /source/src/subtype.c:5480 type_morespecific_ at /source/src/subtype.c:5480 tuple_morespecific at /source/src/subtype.c:5163 [inlined] type_morespecific_ at /source/src/subtype.c:5331 jl_method_table_activate at /source/src/gf.c:2869 jl_activate_methods at /source/src/staticdata_utils.c:762 [inlined] jl_restore_package_image_from_stream at /source/src/staticdata.c:4441 jl_restore_incremental_from_buf at /source/src/staticdata.c:4483 ijl_restore_package_image_from_file at /source/src/staticdata.c:4550 #_include_from_serialized#862 at ./loading.jl:1270 _include_from_serialized at ./loading.jl:1246 [inlined] #_require_search_from_serialized#878 at ./loading.jl:2074 _require_search_from_serialized at ./loading.jl:1981 [inlined] __require_prelocked at ./loading.jl:2599 _require_prelocked at ./loading.jl:2465 macro expansion at ./loading.jl:2393 [inlined] macro expansion at ./lock.jl:376 [inlined] __require at ./loading.jl:2358 jfptr___require_92975.1 at /opt/julia/lib/julia/sys.so (unknown line) _jl_invoke at /source/src/gf.c:4005 [inlined] ijl_apply_generic at /source/src/gf.c:4205 jl_apply at /source/src/julia.h:2381 [inlined] jl_f_invoke_in_world at /source/src/builtins.c:894 require at ./loading.jl:2334 jfptr_require_67504.1 at /opt/julia/lib/julia/sys.so (unknown line) _jl_invoke at /source/src/gf.c:4005 [inlined] ijl_apply_generic at /source/src/gf.c:4205 jl_apply at /source/src/julia.h:2381 [inlined] call_require at /source/src/toplevel.c:494 [inlined] eval_import_path at /source/src/toplevel.c:532 eval_import_from at /source/src/toplevel.c:670 [inlined] eval_import_from at /source/src/toplevel.c:661 jl_toplevel_eval_flex at /source/src/toplevel.c:876 ijl_toplevel_eval at /source/src/toplevel.c:1047 eval_body at /source/src/interpreter.c:655 jl_interpret_toplevel_thunk at /source/src/interpreter.c:898 jl_toplevel_eval_flex at /source/src/toplevel.c:1035 jl_eval_module_expr at /source/src/toplevel.c:197 [inlined] jl_toplevel_eval_flex at /source/src/toplevel.c:814 jl_toplevel_eval_flex at /source/src/toplevel.c:975 ijl_toplevel_eval at /source/src/toplevel.c:1047 ijl_toplevel_eval_in at /source/src/toplevel.c:1092 eval at ./boot.jl:489 include_string at ./loading.jl:2843 _jl_invoke at /source/src/gf.c:4005 [inlined] ijl_apply_generic at /source/src/gf.c:4205 _include at ./loading.jl:2903 include at ./Base.jl:305 include_package_for_output at ./loading.jl:2997 jfptr_include_package_for_output_92927.1 at /opt/julia/lib/julia/sys.so (unknown line) _jl_invoke at /source/src/gf.c:4005 [inlined] ijl_apply_generic at /source/src/gf.c:4205 jl_apply at /source/src/julia.h:2381 [inlined] do_call at /source/src/interpreter.c:123 eval_value at /source/src/interpreter.c:243 eval_stmt_value at /source/src/interpreter.c:194 [inlined] eval_body at /source/src/interpreter.c:693 jl_interpret_toplevel_thunk at /source/src/interpreter.c:898 jl_toplevel_eval_flex at /source/src/toplevel.c:1035 jl_toplevel_eval_flex at /source/src/toplevel.c:975 ijl_toplevel_eval at /source/src/toplevel.c:1047 ijl_toplevel_eval_in at /source/src/toplevel.c:1092 eval at ./boot.jl:489 include_string at ./loading.jl:2843 include_string at ./loading.jl:2853 [inlined] exec_options at ./client.jl:319 _start at ./client.jl:554 jfptr__start_94127.1 at /opt/julia/lib/julia/sys.so (unknown line) _jl_invoke at /source/src/gf.c:4005 [inlined] ijl_apply_generic at /source/src/gf.c:4205 jl_apply at /source/src/julia.h:2381 [inlined] true_main at /source/src/jlapi.c:971 jl_repl_entrypoint at /source/src/jlapi.c:1139 main at /source/cli/loader_exe.c:58 unknown function (ip: 0x725ea58e6249) at /lib/x86_64-linux-gnu/libc.so.6 __libc_start_main at /lib/x86_64-linux-gnu/libc.so.6 (unknown line) unknown function (ip: 0x4010b8) at /workspace/srcdir/glibc-2.17/csu/../sysdeps/x86_64/start.S unknown function (ip: (nil)) at (unknown file)  ============================================================== Profile collected. A report will print at the next yield point ==============================================================  ====================================================================================== Information request received. A stacktrace will print followed by a 1.0 second profile ====================================================================================== cmd: /opt/julia/bin/julia 23 running 0 of 1 signal (10): User defined signal 1 epoll_pwait at /lib/x86_64-linux-gnu/libc.so.6 (unknown line) uv__io_poll at /workspace/srcdir/libuv/src/unix/linux.c:1404 uv_run at /workspace/srcdir/libuv/src/unix/core.c:430 ijl_task_get_next at /source/src/scheduler.c:457 poptask at ./task.jl:1187 wait at ./task.jl:1199 #wait#398 at ./condition.jl:141 wait at ./condition.jl:136 [inlined] _trywait at ./asyncevent.jl:185 #632 at ./asyncevent.jl:359 jfptr_YY.632_57418.1 at /opt/julia/lib/julia/sys.so (unknown line) _jl_invoke at /source/src/gf.c:4005 [inlined] ijl_apply_generic at /source/src/gf.c:4205 jl_apply at /source/src/julia.h:2381 [inlined] start_task at /source/src/task.c:1249 unknown function (ip: (nil)) at (unknown file) ============================================================== Profile collected. A report will print at the next yield point ============================================================== ====================================================================================== Information request received. A stacktrace will print followed by a 1.0 second profile ====================================================================================== cmd: /opt/julia/bin/julia 1 running 0 of 1 signal (10): User defined signal 1 epoll_pwait at /lib/x86_64-linux-gnu/libc.so.6 (unknown line) uv__io_poll at /workspace/srcdir/libuv/src/unix/linux.c:1404 uv_run at /workspace/srcdir/libuv/src/unix/core.c:430 ijl_task_get_next at /source/src/scheduler.c:457 poptask at ./task.jl:1187 wait at ./task.jl:1199 #wait#398 at ./condition.jl:141 wait at ./condition.jl:136 [inlined] wait at ./process.jl:694 wait at ./process.jl:687 jfptr_wait_80754.1 at /opt/julia/lib/julia/sys.so (unknown line) _jl_invoke at /source/src/gf.c:4005 [inlined] ijl_apply_generic at /source/src/gf.c:4205 subprocess_handler at /source/usr/share/julia/stdlib/v1.12/Pkg/src/Operations.jl:2445 unknown function (ip: 0x7b33a2585c63) at (unknown file) _jl_invoke at /source/src/gf.c:4005 [inlined] ijl_apply_generic at /source/src/gf.c:4205 #204 at /source/usr/share/julia/stdlib/v1.12/Pkg/src/Operations.jl:2385 withenv at ./env.jl:265 #189 at /source/usr/share/julia/stdlib/v1.12/Pkg/src/Operations.jl:2204 with_temp_env at /source/usr/share/julia/stdlib/v1.12/Pkg/src/Operations.jl:2062 #185 at /source/usr/share/julia/stdlib/v1.12/Pkg/src/Operations.jl:2171 #mktempdir#21 at ./file.jl:899 unknown function (ip: 0x7b33a2578bfc) at (unknown file) _jl_invoke at /source/src/gf.c:4005 [inlined] ijl_apply_generic at /source/src/gf.c:4205 mktempdir at ./file.jl:895 mktempdir at ./file.jl:895 #sandbox#181 at /source/usr/share/julia/stdlib/v1.12/Pkg/src/Operations.jl:2118 [inlined] sandbox at /source/usr/share/julia/stdlib/v1.12/Pkg/src/Operations.jl:2110 unknown function (ip: 0x7b33a256f341) at (unknown file) _jl_invoke at /source/src/gf.c:4005 [inlined] ijl_apply_generic at /source/src/gf.c:4205 #test#192 at /source/usr/share/julia/stdlib/v1.12/Pkg/src/Operations.jl:2370 test at /source/usr/share/julia/stdlib/v1.12/Pkg/src/Operations.jl:2280 [inlined] #test#170 at /source/usr/share/julia/stdlib/v1.12/Pkg/src/API.jl:483 test at /source/usr/share/julia/stdlib/v1.12/Pkg/src/API.jl:462 unknown function (ip: 0x7b33a256ef71) at (unknown file) _jl_invoke at /source/src/gf.c:4005 [inlined] ijl_apply_generic at /source/src/gf.c:4205 #test#84 at /source/usr/share/julia/stdlib/v1.12/Pkg/src/API.jl:164 unknown function (ip: 0x7b33a256e0b0) at (unknown file) _jl_invoke at /source/src/gf.c:4005 [inlined] ijl_apply_generic at /source/src/gf.c:4205 test at /source/usr/share/julia/stdlib/v1.12/Pkg/src/API.jl:153 #test#82 at /source/usr/share/julia/stdlib/v1.12/Pkg/src/API.jl:152 test at /source/usr/share/julia/stdlib/v1.12/Pkg/src/API.jl:152 [inlined] #test#81 at /source/usr/share/julia/stdlib/v1.12/Pkg/src/API.jl:151 [inlined] test at /source/usr/share/julia/stdlib/v1.12/Pkg/src/API.jl:151 unknown function (ip: 0x7b33a2563e3f) at (unknown file) _jl_invoke at /source/src/gf.c:4005 [inlined] ijl_apply_generic at /source/src/gf.c:4205 jl_apply at /source/src/julia.h:2381 [inlined] do_call at /source/src/interpreter.c:123 eval_value at /source/src/interpreter.c:243 eval_stmt_value at /source/src/interpreter.c:194 [inlined] eval_body at /source/src/interpreter.c:693 eval_body at /source/src/interpreter.c:558 eval_body at /source/src/interpreter.c:558 jl_interpret_toplevel_thunk at /source/src/interpreter.c:898 jl_toplevel_eval_flex at /source/src/toplevel.c:1035 jl_toplevel_eval_flex at /source/src/toplevel.c:975 ijl_toplevel_eval at /source/src/toplevel.c:1047 ijl_toplevel_eval_in at /source/src/toplevel.c:1092 eval at ./boot.jl:489 include_string at ./loading.jl:2843 _jl_invoke at /source/src/gf.c:4005 [inlined] ijl_apply_generic at /source/src/gf.c:4205 _include at ./loading.jl:2903 include at ./Base.jl:305 exec_options at ./client.jl:321 _start at ./client.jl:554 jfptr__start_94127.1 at /opt/julia/lib/julia/sys.so (unknown line) _jl_invoke at /source/src/gf.c:4005 [inlined] ijl_apply_generic at /source/src/gf.c:4205 jl_apply at /source/src/julia.h:2381 [inlined] true_main at /source/src/jlapi.c:971 jl_repl_entrypoint at /source/src/jlapi.c:1139 main at /source/cli/loader_exe.c:58 unknown function (ip: 0x7b33be778249) at /lib/x86_64-linux-gnu/libc.so.6 __libc_start_main at /lib/x86_64-linux-gnu/libc.so.6 (unknown line) unknown function (ip: 0x4010b8) at /workspace/srcdir/glibc-2.17/csu/../sysdeps/x86_64/start.S unknown function (ip: (nil)) at (unknown file) ============================================================== Profile collected. A report will print at the next yield point ============================================================== ┌ Warning: There were no samples collected in one or more groups. │ This may be due to idle threads, or you may need to run your │ program longer (perhaps by running it multiple times), │ or adjust the delay between samples with `Profile.init()`. └ @ Profile /opt/julia/share/julia/stdlib/v1.12/Profile/src/Profile.jl:1362 Overhead ╎ [+additional indent] Count File:Line Function ========================================================= Thread 1 (default) Task 0x00007b33a45fc010 Total snapshots: 133. Utilization: 0% ╎133 @Base/client.jl:554 _start() ╎ 133 @Base/client.jl:321 exec_options(opts::Base.JLOptions) ╎ 133 @Base/Base.jl:305 include(mod::Module, _path::String) ╎ 133 @Base/loading.jl:2903 _include(mapexpr::Function, mod::Module, _pat… ╎ 133 @Base/loading.jl:2843 include_string(mapexpr::typeof(identity), mo… ╎ 133 @Base/boot.jl:489 eval(m::Module, e::Any) ╎ ╎ 133 @Pkg/src/API.jl:151 kwcall(::@NamedTuple{julia_args::Cmd}, ::typ… ╎ ╎ 133 @Pkg/src/API.jl:151 #test#81 ╎ ╎ 133 @Pkg/src/API.jl:152 test ╎ ╎ 133 @Pkg/src/API.jl:152 test(pkgs::Vector{String}; kwargs::Base.P… ╎ ╎ 133 @Pkg/src/API.jl:153 kwcall(::@NamedTuple{julia_args::Cmd}, :… ╎ ╎ ╎ 133 @Pkg/src/API.jl:164 test(pkgs::Vector{PackageSpec}; io::IOC… ╎ ╎ ╎ 133 @Pkg/src/API.jl:462 kwcall(::@NamedTuple{julia_args::Cmd, … ╎ ╎ ╎ 133 @Pkg/src/API.jl:483 test(ctx::Pkg.Types.Context, pkgs::Ve… ╎ ╎ ╎ 133 @Pkg/…erations.jl:2280 test ╎ ╎ ╎ 133 @Pkg/…erations.jl:2370 test(ctx::Pkg.Types.Context, pkg… ╎ ╎ ╎ ╎ 133 @Pkg/…rations.jl:2110 kwcall(::@NamedTuple{preferences… ╎ ╎ ╎ ╎ 133 @Pkg/…rations.jl:2118 #sandbox#181 ╎ ╎ ╎ ╎ 133 @Base/file.jl:895 mktempdir(fn::Function) ╎ ╎ ╎ ╎ 133 @Base/file.jl:895 mktempdir(fn::Function, parent::S… ╎ ╎ ╎ ╎ 133 @Base/file.jl:899 mktempdir(fn::Pkg.Operations.var… ╎ ╎ ╎ ╎ ╎ 133 @Pkg/…tions.jl:2171 (::Pkg.Operations.var"#185#18… ╎ ╎ ╎ ╎ ╎ 133 @Pkg/…tions.jl:2062 with_temp_env(fn::Pkg.Operat… ╎ ╎ ╎ ╎ ╎ 133 @Pkg/…tions.jl:2204 (::Pkg.Operations.var"#189#… ╎ ╎ ╎ ╎ ╎ 133 @Base/env.jl:265 withenv(::Pkg.Operations.var"… ╎ ╎ ╎ ╎ ╎ 133 @Pkg/…ions.jl:2385 (::Pkg.Operations.var"#204… ╎ ╎ ╎ ╎ ╎ ╎ 133 @Pkg/…ons.jl:2445 subprocess_handler(cmd::Cm… ╎ ╎ ╎ ╎ ╎ ╎ 133 @Base/…ss.jl:687 wait(x::Base.Process) ╎ ╎ ╎ ╎ ╎ ╎ 133 @Base/…ss.jl:694 wait(x::Base.Process, syn… ╎ ╎ ╎ ╎ ╎ ╎ 133 @Base/…on.jl:136 wait ╎ ╎ ╎ ╎ ╎ ╎ 133 @Base/…on.jl:141 wait(c::Base.GenericCon… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 133 @Base/…sk.jl:1199 wait() 132╎ ╎ ╎ ╎ ╎ ╎ ╎ 133 @Base/…sk.jl:1187 poptask(W::Base.Intr… ┌ Warning: There were no samples collected in one or more groups. │ This may be due to idle threads, or you may need to run your │ program longer (perhaps by running it multiple times), │ or adjust the delay between samples with `Profile.init()`. └ @ Profile /opt/julia/share/julia/stdlib/v1.12/Profile/src/Profile.jl:1362 Overhead ╎ [+additional indent] Count File:Line Function ========================================================= Thread 1 (default) Task 0x000070a6235c90f0 Total snapshots: 297. Utilization: 0% ╎297 @Base/asyncevent.jl:359 (::Base.var"#632#633"{FileWatching.Pidfile.var… ╎ 297 @Base/asyncevent.jl:185 _trywait(t::Timer) ╎ 297 @Base/condition.jl:136 wait ╎ 297 @Base/condition.jl:141 wait(c::Base.GenericCondition{Base.Threads.S… ╎ 297 @Base/task.jl:1199 wait() 296╎ 297 @Base/task.jl:1187 poptask(W::Base.IntrusiveLinkedListSynchronize… 43938.2 ms ✓ Plots → FileIOExt 3 dependencies successfully precompiled in 215 seconds. 182 already precompiled. 2 dependencies had output during precompilation: ┌ Plots → FileIOExt │ [Output was shown above] └ ┌ HTTP │ ┌ Info: Ignoring an error that occurred during the precompilation workload │ │ exception = │ │ HTTP.ConnectError for url = `https://localhost:57813`: TimeoutException: try_with_timeout timed out after 30.0 seconds │ │ Stacktrace: │ │ [1] (::HTTP.ConnectionRequest.var"#connections#connectionlayer##0"{HTTP.ConnectionRequest.var"#connections#1#connectionlayer##1"{HTTP.TimeoutRequest.var"#timeouts#timeoutlayer##0"{HTTP.TimeoutRequest.var"#timeouts#1#timeoutlayer##1"{HTTP.ExceptionRequest.var"#exceptions#exceptionlayer##0"{HTTP.ExceptionRequest.var"#exceptions#1#exceptionlayer##1"{typeof(HTTP.StreamRequest.streamlayer)}}}}}})(req::HTTP.Messages.Request; proxy::Nothing, socket_type::Type, socket_type_tls::Nothing, readtimeout::Int64, connect_timeout::Int64, logerrors::Bool, logtag::Nothing, closeimmediately::Bool, kw::@Kwargs{iofunction::Nothing, decompress::Nothing, verbose::Int64}) │ │ @ HTTP.ConnectionRequest ~/.julia/packages/HTTP/JcAHX/src/clientlayers/ConnectionRequest.jl:88 │ │ [2] connections │ │ @ ~/.julia/packages/HTTP/JcAHX/src/clientlayers/ConnectionRequest.jl:60 [inlined] │ │ [3] (::Base.var"#46#47"{Base.var"#48#49"{ExponentialBackOff, HTTP.RetryRequest.var"#retrylayer##2#retrylayer##3"{Int64, typeof(HTTP.RetryRequest.FALSE), HTTP.Messages.Request, Base.RefValue{Int64}}, HTTP.ConnectionRequest.var"#connections#connectionlayer##0"{HTTP.ConnectionRequest.var"#connections#1#connectionlayer##1"{HTTP.TimeoutRequest.var"#timeouts#timeoutlayer##0"{HTTP.TimeoutRequest.var"#timeouts#1#timeoutlayer##1"{HTTP.ExceptionRequest.var"#exceptions#exceptionlayer##0"{HTTP.ExceptionRequest.var"#exceptions#1#exceptionlayer##1"{typeof(HTTP.StreamRequest.streamlayer)}}}}}}}})(args::HTTP.Messages.Request; kwargs::@Kwargs{iofunction::Nothing, decompress::Nothing, verbose::Int64}) │ │ @ Base ./error.jl:309 │ │ [4] (::HTTP.RetryRequest.var"#manageretries#retrylayer##0"{HTTP.RetryRequest.var"#manageretries#1#retrylayer##1"{HTTP.ConnectionRequest.var"#connections#connectionlayer##0"{HTTP.ConnectionRequest.var"#connections#1#connectionlayer##1"{HTTP.TimeoutRequest.var"#timeouts#timeoutlayer##0"{HTTP.TimeoutRequest.var"#timeouts#1#timeoutlayer##1"{HTTP.ExceptionRequest.var"#exceptions#exceptionlayer##0"{HTTP.ExceptionRequest.var"#exceptions#1#exceptionlayer##1"{typeof(HTTP.StreamRequest.streamlayer)}}}}}}}})(req::HTTP.Messages.Request; retry::Bool, retries::Int64, retry_delays::ExponentialBackOff, retry_check::Function, retry_non_idempotent::Bool, kw::@Kwargs{iofunction::Nothing, decompress::Nothing, verbose::Int64}) │ │ @ HTTP.RetryRequest ~/.julia/packages/HTTP/JcAHX/src/clientlayers/RetryRequest.jl:75 │ │ [5] manageretries │ │ @ ~/.julia/packages/HTTP/JcAHX/src/clientlayers/RetryRequest.jl:30 [inlined] │ │ [6] (::HTTP.CookieRequest.var"#managecookies#cookielayer##0"{HTTP.CookieRequest.var"#managecookies#1#cookielayer##1"{HTTP.RetryRequest.var"#manageretries#retrylayer##0"{HTTP.RetryRequest.var"#manageretries#1#retrylayer##1"{HTTP.ConnectionRequest.var"#connections#connectionlayer##0"{HTTP.ConnectionRequest.var"#connections#1#connectionlayer##1"{HTTP.TimeoutRequest.var"#timeouts#timeoutlayer##0"{HTTP.TimeoutRequest.var"#timeouts#1#timeoutlayer##1"{HTTP.ExceptionRequest.var"#exceptions#exceptionlayer##0"{HTTP.ExceptionRequest.var"#exceptions#1#exceptionlayer##1"{typeof(HTTP.StreamRequest.streamlayer)}}}}}}}}}})(req::HTTP.Messages.Request; cookies::Bool, cookiejar::HTTP.Cookies.CookieJar, kw::@Kwargs{iofunction::Nothing, decompress::Nothing, verbose::Int64}) │ │ @ HTTP.CookieRequest ~/.julia/packages/HTTP/JcAHX/src/clientlayers/CookieRequest.jl:42 │ │ [7] managecookies │ │ @ ~/.julia/packages/HTTP/JcAHX/src/clientlayers/CookieRequest.jl:19 [inlined] │ │ [8] (::HTTP.HeadersRequest.var"#defaultheaders#headerslayer##0"{HTTP.HeadersRequest.var"#defaultheaders#1#headerslayer##1"{HTTP.CookieRequest.var"#managecookies#cookielayer##0"{HTTP.CookieRequest.var"#managecookies#1#cookielayer##1"{HTTP.RetryRequest.var"#manageretries#retrylayer##0"{HTTP.RetryRequest.var"#manageretries#1#retrylayer##1"{HTTP.ConnectionRequest.var"#connections#connectionlayer##0"{HTTP.ConnectionRequest.var"#connections#1#connectionlayer##1"{HTTP.TimeoutRequest.var"#timeouts#timeoutlayer##0"{HTTP.TimeoutRequest.var"#timeouts#1#timeoutlayer##1"{HTTP.ExceptionRequest.var"#exceptions#exceptionlayer##0"{HTTP.ExceptionRequest.var"#exceptions#1#exceptionlayer##1"{typeof(HTTP.StreamRequest.streamlayer)}}}}}}}}}}}})(req::HTTP.Messages.Request; iofunction::Nothing, decompress::Nothing, basicauth::Bool, detect_content_type::Bool, canonicalize_headers::Bool, kw::@Kwargs{verbose::Int64}) │ │ @ HTTP.HeadersRequest ~/.julia/packages/HTTP/JcAHX/src/clientlayers/HeadersRequest.jl:71 │ │ [9] defaultheaders │ │ @ ~/.julia/packages/HTTP/JcAHX/src/clientlayers/HeadersRequest.jl:14 [inlined] │ │ [10] (::HTTP.RedirectRequest.var"#redirects#redirectlayer##0"{HTTP.RedirectRequest.var"#redirects#1#redirectlayer##1"{HTTP.HeadersRequest.var"#defaultheaders#headerslayer##0"{HTTP.HeadersRequest.var"#defaultheaders#1#headerslayer##1"{HTTP.CookieRequest.var"#managecookies#cookielayer##0"{HTTP.CookieRequest.var"#managecookies#1#cookielayer##1"{HTTP.RetryRequest.var"#manageretries#retrylayer##0"{HTTP.RetryRequest.var"#manageretries#1#retrylayer##1"{HTTP.ConnectionRequest.var"#connections#connectionlayer##0"{HTTP.ConnectionRequest.var"#connections#1#connectionlayer##1"{HTTP.TimeoutRequest.var"#timeouts#timeoutlayer##0"{HTTP.TimeoutRequest.var"#timeouts#1#timeoutlayer##1"{HTTP.ExceptionRequest.var"#exceptions#exceptionlayer##0"{HTTP.ExceptionRequest.var"#exceptions#1#exceptionlayer##1"{typeof(HTTP.StreamRequest.streamlayer)}}}}}}}}}}}}}})(req::HTTP.Messages.Request; redirect::Bool, redirect_limit::Int64, redirect_method::Nothing, forwardheaders::Bool, response_stream::Nothing, kw::@Kwargs{verbose::Int64}) │ │ @ HTTP.RedirectRequest ~/.julia/packages/HTTP/JcAHX/src/clientlayers/RedirectRequest.jl:25 │ │ [11] redirects │ │ @ ~/.julia/packages/HTTP/JcAHX/src/clientlayers/RedirectRequest.jl:14 [inlined] │ │ [12] (::HTTP.MessageRequest.var"#makerequest#messagelayer##0"{HTTP.MessageRequest.var"#makerequest#1#messagelayer##1"{HTTP.RedirectRequest.var"#redirects#redirectlayer##0"{HTTP.RedirectRequest.var"#redirects#1#redirectlayer##1"{HTTP.HeadersRequest.var"#defaultheaders#headerslayer##0"{HTTP.HeadersRequest.var"#defaultheaders#1#headerslayer##1"{HTTP.CookieRequest.var"#managecookies#cookielayer##0"{HTTP.CookieRequest.var"#managecookies#1#cookielayer##1"{HTTP.RetryRequest.var"#manageretries#retrylayer##0"{HTTP.RetryRequest.var"#manageretries#1#retrylayer##1"{HTTP.ConnectionRequest.var"#connections#connectionlayer##0"{HTTP.ConnectionRequest.var"#connections#1#connectionlayer##1"{HTTP.TimeoutRequest.var"#timeouts#timeoutlayer##0"{HTTP.TimeoutRequest.var"#timeouts#1#timeoutlayer##1"{HTTP.ExceptionRequest.var"#exceptions#exceptionlayer##0"{HTTP.ExceptionRequest.var"#exceptions#1#exceptionlayer##1"{typeof(HTTP.StreamRequest.streamlayer)}}}}}}}}}}}}}}}})(method::String, url::URIs.URI, headers::Nothing, body::Vector{UInt8}; copyheaders::Bool, response_stream::Nothing, http_version::HTTP.Strings.HTTPVersion, verbose::Int64, kw::@Kwargs{}) │ │ @ HTTP.MessageRequest ~/.julia/packages/HTTP/JcAHX/src/clientlayers/MessageRequest.jl:35 │ │ [13] makerequest │ │ @ ~/.julia/packages/HTTP/JcAHX/src/clientlayers/MessageRequest.jl:24 [inlined] │ │ [14] request(stack::HTTP.MessageRequest.var"#makerequest#messagelayer##0"{HTTP.MessageRequest.var"#makerequest#1#messagelayer##1"{HTTP.RedirectRequest.var"#redirects#redirectlayer##0"{HTTP.RedirectRequest.var"#redirects#1#redirectlayer##1"{HTTP.HeadersRequest.var"#defaultheaders#headerslayer##0"{HTTP.HeadersRequest.var"#defaultheaders#1#headerslayer##1"{HTTP.CookieRequest.var"#managecookies#cookielayer##0"{HTTP.CookieRequest.var"#managecookies#1#cookielayer##1"{HTTP.RetryRequest.var"#manageretries#retrylayer##0"{HTTP.RetryRequest.var"#manageretries#1#retrylayer##1"{HTTP.ConnectionRequest.var"#connections#connectionlayer##0"{HTTP.ConnectionRequest.var"#connections#1#connectionlayer##1"{HTTP.TimeoutRequest.var"#timeouts#timeoutlayer##0"{HTTP.TimeoutRequest.var"#timeouts#1#timeoutlayer##1"{HTTP.ExceptionRequest.var"#exceptions#exceptionlayer##0"{HTTP.ExceptionRequest.var"#exceptions#1#exceptionlayer##1"{typeof(HTTP.StreamRequest.streamlayer)}}}}}}}}}}}}}}}}, method::String, url::String, h::Nothing, b::Vector{UInt8}, q::Nothing; headers::Nothing, body::Vector{UInt8}, query::Nothing, kw::@Kwargs{}) │ │ @ HTTP ~/.julia/packages/HTTP/JcAHX/src/HTTP.jl:457 │ │ [15] request(stack::Function, method::String, url::String, h::Nothing, b::Vector{UInt8}, q::Nothing) │ │ @ HTTP ~/.julia/packages/HTTP/JcAHX/src/HTTP.jl:455 │ │ [16] #request#21 │ │ @ ~/.julia/packages/HTTP/JcAHX/src/HTTP.jl:315 [inlined] │ │ [17] request (repeats 2 times) │ │ @ ~/.julia/packages/HTTP/JcAHX/src/HTTP.jl:313 [inlined] │ │ [18] get │ │ @ ~/.julia/packages/HTTP/JcAHX/src/HTTP.jl:518 [inlined] │ │ [19] #51 │ │ @ ~/.julia/packages/HTTP/JcAHX/src/precompile.jl:36 [inlined] │ │ [20] withenv(::HTTP.var"#51#52"{String}, ::Pair{String, Union{Nothing, String}}, ::Vararg{Pair{String, Union{Nothing, String}}}) │ │ @ Base ./env.jl:265 │ │ [21] macro expansion │ │ @ ~/.julia/packages/HTTP/JcAHX/src/precompile.jl:35 [inlined] │ │ [22] macro expansion │ │ @ ~/.julia/packages/PrecompileTools/gn08A/src/workloads.jl:73 [inlined] │ │ [23] macro expansion │ │ @ ~/.julia/packages/HTTP/JcAHX/src/precompile.jl:34 [inlined] │ │ [24] macro expansion │ │ @ ~/.julia/packages/PrecompileTools/gn08A/src/workloads.jl:121 [inlined] │ │ [25] top-level scope │ │ @ ~/.julia/packages/HTTP/JcAHX/src/precompile.jl:4 │ │ [26] include(mapexpr::Function, mod::Module, _path::String) │ │ @ Base ./Base.jl:306 │ │ [27] top-level scope │ │ @ ~/.julia/packages/HTTP/JcAHX/src/HTTP.jl:643 │ │ [28] include(mod::Module, _path::String) │ │ @ Base ./Base.jl:305 │ │ [29] include_package_for_output(pkg::Base.PkgId, input::String, depot_path::Vector{String}, dl_load_path::Vector{String}, load_path::Vector{String}, concrete_deps::Vector{Pair{Base.PkgId, UInt128}}, source::Nothing) │ │ @ Base ./loading.jl:2997 │ │ [30] top-level scope │ │ @ stdin:5 │ │ [31] eval(m::Module, e::Any) │ │ @ Core ./boot.jl:489 │ │ [32] include_string(mapexpr::typeof(identity), mod::Module, code::String, filename::String) │ │ @ Base ./loading.jl:2843 │ │ [33] include_string │ │ @ ./loading.jl:2853 [inlined] │ │ [34] exec_options(opts::Base.JLOptions) │ │ @ Base ./client.jl:319 │ │ [35] _start() │ └ @ Base ./client.jl:554 │ │ [pid 159] waiting for IO to finish: │ Handle type uv_handle_t->data │ This means that a package has started a background task or event source that has not finished running. For precompilation to complete successfully, the event source needs to be closed explicitly. See the developer documentation on fixing precompilation hangs for more help. │ │ [pid 159] waiting for IO to finish: │ Handle type uv_handle_t->data │ This means that a package has started a background task or event source that has not finished running. For precompilation to complete successfully, the event source needs to be closed explicitly. See the developer documentation on fixing precompilation hangs for more help. │ │ [pid 159] waiting for IO to finish: │ Handle type uv_handle_t->data │ This means that a package has started a background task or event source that has not finished running. For precompilation to complete successfully, the event source needs to be closed explicitly. See the developer documentation on fixing precompilation hangs for more help. │ │ [pid 159] waiting for IO to finish: │ Handle type uv_handle_t->data │ This means that a package has started a background task or event source that has not finished running. For precompilation to complete successfully, the event source needs to be closed explicitly. See the developer documentation on fixing precompilation hangs for more help. │ │ [pid 159] waiting for IO to finish: │ Handle type uv_handle_t->data │ This means that a package has started a background task or event source that has not finished running. For precompilation to complete successfully, the event source needs to be closed explicitly. See the developer documentation on fixing precompilation hangs for more help. │ │ [pid 159] waiting for IO to finish: │ Handle type uv_handle_t->data │ This means that a package has started a background task or event source that has not finished running. For precompilation to complete successfully, the event source needs to be closed explicitly. See the developer documentation on fixing precompilation hangs for more help. │ │ [pid 159] waiting for IO to finish: │ Handle type uv_handle_t->data │ This means that a package has started a background task or event source that has not finished running. For precompilation to complete successfully, the event source needs to be closed explicitly. See the developer documentation on fixing precompilation hangs for more help. └ ┌ Warning: Indices Base.OneTo(33) of attribute `markeralpha` does not match data indices 1:32. └ @ Plots ~/.julia/packages/Plots/xKhUG/src/utils.jl:141 ┌ Info: Data contains NaNs or missing values, and indices of `markeralpha` vector do not match data indices. │ If you intend elements of `markeralpha` to apply to individual NaN-separated segments in the data, │ pass each segment in a separate vector instead, and use a row vector for `markeralpha`. Legend entries │ may be suppressed by passing an empty label. │ For example, └ plot([1:2,1:3], [[4,5],[3,4,5]], label=["y" ""], markeralpha=[1 2]) ┌ Warning: Indices Base.OneTo(33) of attribute `markerstrokealpha` does not match data indices 1:32. └ @ Plots ~/.julia/packages/Plots/xKhUG/src/utils.jl:141 ┌ Info: Data contains NaNs or missing values, and indices of `markerstrokealpha` vector do not match data indices. │ If you intend elements of `markerstrokealpha` to apply to individual NaN-separated segments in the data, │ pass each segment in a separate vector instead, and use a row vector for `markerstrokealpha`. Legend entries │ may be suppressed by passing an empty label. │ For example, └ plot([1:2,1:3], [[4,5],[3,4,5]], label=["y" ""], markerstrokealpha=[1 2]) ┌ Warning: Indices Base.OneTo(33) of attribute `markershape` does not match data indices 1:32. └ @ Plots ~/.julia/packages/Plots/xKhUG/src/utils.jl:141 ┌ Info: Data contains NaNs or missing values, and indices of `markershape` vector do not match data indices. │ If you intend elements of `markershape` to apply to individual NaN-separated segments in the data, │ pass each segment in a separate vector instead, and use a row vector for `markershape`. Legend entries │ may be suppressed by passing an empty label. │ For example, └ plot([1:2,1:3], [[4,5],[3,4,5]], label=["y" ""], markershape=[1 2]) ┌ Warning: Indices Base.OneTo(33) of attribute `markeralpha` does not match data indices 1:32. └ @ Plots ~/.julia/packages/Plots/xKhUG/src/utils.jl:141 ┌ Info: Data contains NaNs or missing values, and indices of `markeralpha` vector do not match data indices. │ If you intend elements of `markeralpha` to apply to individual NaN-separated segments in the data, │ pass each segment in a separate vector instead, and use a row vector for `markeralpha`. Legend entries │ may be suppressed by passing an empty label. │ For example, └ plot([1:2,1:3], [[4,5],[3,4,5]], label=["y" ""], markeralpha=[1 2]) ┌ Warning: Indices Base.OneTo(33) of attribute `markerstrokealpha` does not match data indices 1:32. └ @ Plots ~/.julia/packages/Plots/xKhUG/src/utils.jl:141 ┌ Info: Data contains NaNs or missing values, and indices of `markerstrokealpha` vector do not match data indices. │ If you intend elements of `markerstrokealpha` to apply to individual NaN-separated segments in the data, │ pass each segment in a separate vector instead, and use a row vector for `markerstrokealpha`. Legend entries │ may be suppressed by passing an empty label. │ For example, └ plot([1:2,1:3], [[4,5],[3,4,5]], label=["y" ""], markerstrokealpha=[1 2]) ┌ Warning: Indices Base.OneTo(33) of attribute `markershape` does not match data indices 1:32. └ @ Plots ~/.julia/packages/Plots/xKhUG/src/utils.jl:141 ┌ Info: Data contains NaNs or missing values, and indices of `markershape` vector do not match data indices. │ If you intend elements of `markershape` to apply to individual NaN-separated segments in the data, │ pass each segment in a separate vector instead, and use a row vector for `markershape`. Legend entries │ may be suppressed by passing an empty label. │ For example, └ plot([1:2,1:3], [[4,5],[3,4,5]], label=["y" ""], markershape=[1 2]) [ Info: Reference image references/interval_closed_closed.png matches. Difference: 0.004616429881402969 ┌ Warning: Indices Base.OneTo(33) of attribute `markeralpha` does not match data indices 1:32. └ @ Plots ~/.julia/packages/Plots/xKhUG/src/utils.jl:141 ┌ Info: Data contains NaNs or missing values, and indices of `markeralpha` vector do not match data indices. │ If you intend elements of `markeralpha` to apply to individual NaN-separated segments in the data, │ pass each segment in a separate vector instead, and use a row vector for `markeralpha`. Legend entries │ may be suppressed by passing an empty label. │ For example, └ plot([1:2,1:3], [[4,5],[3,4,5]], label=["y" ""], markeralpha=[1 2]) ┌ Warning: Indices Base.OneTo(33) of attribute `markerstrokealpha` does not match data indices 1:32. └ @ Plots ~/.julia/packages/Plots/xKhUG/src/utils.jl:141 ┌ Info: Data contains NaNs or missing values, and indices of `markerstrokealpha` vector do not match data indices. │ If you intend elements of `markerstrokealpha` to apply to individual NaN-separated segments in the data, │ pass each segment in a separate vector instead, and use a row vector for `markerstrokealpha`. Legend entries │ may be suppressed by passing an empty label. │ For example, └ plot([1:2,1:3], [[4,5],[3,4,5]], label=["y" ""], markerstrokealpha=[1 2]) ┌ Warning: Indices Base.OneTo(33) of attribute `markershape` does not match data indices 1:32. └ @ Plots ~/.julia/packages/Plots/xKhUG/src/utils.jl:141 ┌ Info: Data contains NaNs or missing values, and indices of `markershape` vector do not match data indices. │ If you intend elements of `markershape` to apply to individual NaN-separated segments in the data, │ pass each segment in a separate vector instead, and use a row vector for `markershape`. Legend entries │ may be suppressed by passing an empty label. │ For example, └ plot([1:2,1:3], [[4,5],[3,4,5]], label=["y" ""], markershape=[1 2]) ┌ Warning: Indices Base.OneTo(33) of attribute `markeralpha` does not match data indices 1:32. └ @ Plots ~/.julia/packages/Plots/xKhUG/src/utils.jl:141 ┌ Info: Data contains NaNs or missing values, and indices of `markeralpha` vector do not match data indices. │ If you intend elements of `markeralpha` to apply to individual NaN-separated segments in the data, │ pass each segment in a separate vector instead, and use a row vector for `markeralpha`. Legend entries │ may be suppressed by passing an empty label. │ For example, └ plot([1:2,1:3], [[4,5],[3,4,5]], label=["y" ""], markeralpha=[1 2]) ┌ Warning: Indices Base.OneTo(33) of attribute `markerstrokealpha` does not match data indices 1:32. └ @ Plots ~/.julia/packages/Plots/xKhUG/src/utils.jl:141 ┌ Info: Data contains NaNs or missing values, and indices of `markerstrokealpha` vector do not match data indices. │ If you intend elements of `markerstrokealpha` to apply to individual NaN-separated segments in the data, │ pass each segment in a separate vector instead, and use a row vector for `markerstrokealpha`. Legend entries │ may be suppressed by passing an empty label. │ For example, └ plot([1:2,1:3], [[4,5],[3,4,5]], label=["y" ""], markerstrokealpha=[1 2]) ┌ Warning: Indices Base.OneTo(33) of attribute `markershape` does not match data indices 1:32. └ @ Plots ~/.julia/packages/Plots/xKhUG/src/utils.jl:141 ┌ Info: Data contains NaNs or missing values, and indices of `markershape` vector do not match data indices. │ If you intend elements of `markershape` to apply to individual NaN-separated segments in the data, │ pass each segment in a separate vector instead, and use a row vector for `markershape`. Legend entries │ may be suppressed by passing an empty label. │ For example, └ plot([1:2,1:3], [[4,5],[3,4,5]], label=["y" ""], markershape=[1 2]) [ Info: Reference image references/interval_closed_closed.png matches. Difference: 0.004616429881402969 ┌ Warning: Indices Base.OneTo(33) of attribute `markeralpha` does not match data indices 1:32. └ @ Plots ~/.julia/packages/Plots/xKhUG/src/utils.jl:141 ┌ Info: Data contains NaNs or missing values, and indices of `markeralpha` vector do not match data indices. │ If you intend elements of `markeralpha` to apply to individual NaN-separated segments in the data, │ pass each segment in a separate vector instead, and use a row vector for `markeralpha`. Legend entries │ may be suppressed by passing an empty label. │ For example, └ plot([1:2,1:3], [[4,5],[3,4,5]], label=["y" ""], markeralpha=[1 2]) ┌ Warning: Indices Base.OneTo(33) of attribute `markerstrokealpha` does not match data indices 1:32. └ @ Plots ~/.julia/packages/Plots/xKhUG/src/utils.jl:141 ┌ Info: Data contains NaNs or missing values, and indices of `markerstrokealpha` vector do not match data indices. │ If you intend elements of `markerstrokealpha` to apply to individual NaN-separated segments in the data, │ pass each segment in a separate vector instead, and use a row vector for `markerstrokealpha`. Legend entries │ may be suppressed by passing an empty label. │ For example, └ plot([1:2,1:3], [[4,5],[3,4,5]], label=["y" ""], markerstrokealpha=[1 2]) ┌ Warning: Indices Base.OneTo(33) of attribute `markershape` does not match data indices 1:32. └ @ Plots ~/.julia/packages/Plots/xKhUG/src/utils.jl:141 ┌ Info: Data contains NaNs or missing values, and indices of `markershape` vector do not match data indices. │ If you intend elements of `markershape` to apply to individual NaN-separated segments in the data, │ pass each segment in a separate vector instead, and use a row vector for `markershape`. Legend entries │ may be suppressed by passing an empty label. │ For example, └ plot([1:2,1:3], [[4,5],[3,4,5]], label=["y" ""], markershape=[1 2]) ┌ Warning: Indices Base.OneTo(33) of attribute `markeralpha` does not match data indices 1:32. └ @ Plots ~/.julia/packages/Plots/xKhUG/src/utils.jl:141 ┌ Info: Data contains NaNs or missing values, and indices of `markeralpha` vector do not match data indices. │ If you intend elements of `markeralpha` to apply to individual NaN-separated segments in the data, │ pass each segment in a separate vector instead, and use a row vector for `markeralpha`. Legend entries │ may be suppressed by passing an empty label. │ For example, └ plot([1:2,1:3], [[4,5],[3,4,5]], label=["y" ""], markeralpha=[1 2]) ┌ Warning: Indices Base.OneTo(33) of attribute `markerstrokealpha` does not match data indices 1:32. └ @ Plots ~/.julia/packages/Plots/xKhUG/src/utils.jl:141 ┌ Info: Data contains NaNs or missing values, and indices of `markerstrokealpha` vector do not match data indices. │ If you intend elements of `markerstrokealpha` to apply to individual NaN-separated segments in the data, │ pass each segment in a separate vector instead, and use a row vector for `markerstrokealpha`. Legend entries │ may be suppressed by passing an empty label. │ For example, └ plot([1:2,1:3], [[4,5],[3,4,5]], label=["y" ""], markerstrokealpha=[1 2]) ┌ Warning: Indices Base.OneTo(33) of attribute `markershape` does not match data indices 1:32. └ @ Plots ~/.julia/packages/Plots/xKhUG/src/utils.jl:141 ┌ Info: Data contains NaNs or missing values, and indices of `markershape` vector do not match data indices. │ If you intend elements of `markershape` to apply to individual NaN-separated segments in the data, │ pass each segment in a separate vector instead, and use a row vector for `markershape`. Legend entries │ may be suppressed by passing an empty label. │ For example, └ plot([1:2,1:3], [[4,5],[3,4,5]], label=["y" ""], markershape=[1 2]) [ Info: Reference image references/interval_open_closed.png matches. Difference: 0.004561062461100766 ┌ Warning: Indices Base.OneTo(33) of attribute `markeralpha` does not match data indices 1:32. └ @ Plots ~/.julia/packages/Plots/xKhUG/src/utils.jl:141 ┌ Info: Data contains NaNs or missing values, and indices of `markeralpha` vector do not match data indices. │ If you intend elements of `markeralpha` to apply to individual NaN-separated segments in the data, │ pass each segment in a separate vector instead, and use a row vector for `markeralpha`. Legend entries │ may be suppressed by passing an empty label. │ For example, └ plot([1:2,1:3], [[4,5],[3,4,5]], label=["y" ""], markeralpha=[1 2]) ┌ Warning: Indices Base.OneTo(33) of attribute `markerstrokealpha` does not match data indices 1:32. └ @ Plots ~/.julia/packages/Plots/xKhUG/src/utils.jl:141 ┌ Info: Data contains NaNs or missing values, and indices of `markerstrokealpha` vector do not match data indices. │ If you intend elements of `markerstrokealpha` to apply to individual NaN-separated segments in the data, │ pass each segment in a separate vector instead, and use a row vector for `markerstrokealpha`. Legend entries │ may be suppressed by passing an empty label. │ For example, └ plot([1:2,1:3], [[4,5],[3,4,5]], label=["y" ""], markerstrokealpha=[1 2]) ┌ Warning: Indices Base.OneTo(33) of attribute `markershape` does not match data indices 1:32. └ @ Plots ~/.julia/packages/Plots/xKhUG/src/utils.jl:141 ┌ Info: Data contains NaNs or missing values, and indices of `markershape` vector do not match data indices. │ If you intend elements of `markershape` to apply to individual NaN-separated segments in the data, │ pass each segment in a separate vector instead, and use a row vector for `markershape`. Legend entries │ may be suppressed by passing an empty label. │ For example, └ plot([1:2,1:3], [[4,5],[3,4,5]], label=["y" ""], markershape=[1 2]) ┌ Warning: Indices Base.OneTo(33) of attribute `markeralpha` does not match data indices 1:32. └ @ Plots ~/.julia/packages/Plots/xKhUG/src/utils.jl:141 ┌ Info: Data contains NaNs or missing values, and indices of `markeralpha` vector do not match data indices. │ If you intend elements of `markeralpha` to apply to individual NaN-separated segments in the data, │ pass each segment in a separate vector instead, and use a row vector for `markeralpha`. Legend entries │ may be suppressed by passing an empty label. │ For example, └ plot([1:2,1:3], [[4,5],[3,4,5]], label=["y" ""], markeralpha=[1 2]) ┌ Warning: Indices Base.OneTo(33) of attribute `markerstrokealpha` does not match data indices 1:32. └ @ Plots ~/.julia/packages/Plots/xKhUG/src/utils.jl:141 ┌ Info: Data contains NaNs or missing values, and indices of `markerstrokealpha` vector do not match data indices. │ If you intend elements of `markerstrokealpha` to apply to individual NaN-separated segments in the data, │ pass each segment in a separate vector instead, and use a row vector for `markerstrokealpha`. Legend entries │ may be suppressed by passing an empty label. │ For example, └ plot([1:2,1:3], [[4,5],[3,4,5]], label=["y" ""], markerstrokealpha=[1 2]) ┌ Warning: Indices Base.OneTo(33) of attribute `markershape` does not match data indices 1:32. └ @ Plots ~/.julia/packages/Plots/xKhUG/src/utils.jl:141 ┌ Info: Data contains NaNs or missing values, and indices of `markershape` vector do not match data indices. │ If you intend elements of `markershape` to apply to individual NaN-separated segments in the data, │ pass each segment in a separate vector instead, and use a row vector for `markershape`. Legend entries │ may be suppressed by passing an empty label. │ For example, └ plot([1:2,1:3], [[4,5],[3,4,5]], label=["y" ""], markershape=[1 2]) [ Info: Reference image references/interval_open_closed.png matches. Difference: 0.004561062461100766 ┌ Warning: Indices Base.OneTo(33) of attribute `markeralpha` does not match data indices 1:32. └ @ Plots ~/.julia/packages/Plots/xKhUG/src/utils.jl:141 ┌ Info: Data contains NaNs or missing values, and indices of `markeralpha` vector do not match data indices. │ If you intend elements of `markeralpha` to apply to individual NaN-separated segments in the data, │ pass each segment in a separate vector instead, and use a row vector for `markeralpha`. Legend entries │ may be suppressed by passing an empty label. │ For example, └ plot([1:2,1:3], [[4,5],[3,4,5]], label=["y" ""], markeralpha=[1 2]) ┌ Warning: Indices Base.OneTo(33) of attribute `markerstrokealpha` does not match data indices 1:32. └ @ Plots ~/.julia/packages/Plots/xKhUG/src/utils.jl:141 ┌ Info: Data contains NaNs or missing values, and indices of `markerstrokealpha` vector do not match data indices. │ If you intend elements of `markerstrokealpha` to apply to individual NaN-separated segments in the data, │ pass each segment in a separate vector instead, and use a row vector for `markerstrokealpha`. Legend entries │ may be suppressed by passing an empty label. │ For example, └ plot([1:2,1:3], [[4,5],[3,4,5]], label=["y" ""], markerstrokealpha=[1 2]) ┌ Warning: Indices Base.OneTo(33) of attribute `markershape` does not match data indices 1:32. └ @ Plots ~/.julia/packages/Plots/xKhUG/src/utils.jl:141 ┌ Info: Data contains NaNs or missing values, and indices of `markershape` vector do not match data indices. │ If you intend elements of `markershape` to apply to individual NaN-separated segments in the data, │ pass each segment in a separate vector instead, and use a row vector for `markershape`. Legend entries │ may be suppressed by passing an empty label. │ For example, └ plot([1:2,1:3], [[4,5],[3,4,5]], label=["y" ""], markershape=[1 2]) ┌ Warning: Indices Base.OneTo(33) of attribute `markeralpha` does not match data indices 1:32. └ @ Plots ~/.julia/packages/Plots/xKhUG/src/utils.jl:141 ┌ Info: Data contains NaNs or missing values, and indices of `markeralpha` vector do not match data indices. │ If you intend elements of `markeralpha` to apply to individual NaN-separated segments in the data, │ pass each segment in a separate vector instead, and use a row vector for `markeralpha`. Legend entries │ may be suppressed by passing an empty label. │ For example, └ plot([1:2,1:3], [[4,5],[3,4,5]], label=["y" ""], markeralpha=[1 2]) ┌ Warning: Indices Base.OneTo(33) of attribute `markerstrokealpha` does not match data indices 1:32. └ @ Plots ~/.julia/packages/Plots/xKhUG/src/utils.jl:141 ┌ Info: Data contains NaNs or missing values, and indices of `markerstrokealpha` vector do not match data indices. │ If you intend elements of `markerstrokealpha` to apply to individual NaN-separated segments in the data, │ pass each segment in a separate vector instead, and use a row vector for `markerstrokealpha`. Legend entries │ may be suppressed by passing an empty label. │ For example, └ plot([1:2,1:3], [[4,5],[3,4,5]], label=["y" ""], markerstrokealpha=[1 2]) ┌ Warning: Indices Base.OneTo(33) of attribute `markershape` does not match data indices 1:32. └ @ Plots ~/.julia/packages/Plots/xKhUG/src/utils.jl:141 ┌ Info: Data contains NaNs or missing values, and indices of `markershape` vector do not match data indices. │ If you intend elements of `markershape` to apply to individual NaN-separated segments in the data, │ pass each segment in a separate vector instead, and use a row vector for `markershape`. Legend entries │ may be suppressed by passing an empty label. │ For example, └ plot([1:2,1:3], [[4,5],[3,4,5]], label=["y" ""], markershape=[1 2]) [ Info: Reference image references/interval_closed_open.png matches. Difference: 0.004578714937771522 ┌ Warning: Indices Base.OneTo(33) of attribute `markeralpha` does not match data indices 1:32. └ @ Plots ~/.julia/packages/Plots/xKhUG/src/utils.jl:141 ┌ Info: Data contains NaNs or missing values, and indices of `markeralpha` vector do not match data indices. │ If you intend elements of `markeralpha` to apply to individual NaN-separated segments in the data, │ pass each segment in a separate vector instead, and use a row vector for `markeralpha`. Legend entries │ may be suppressed by passing an empty label. │ For example, └ plot([1:2,1:3], [[4,5],[3,4,5]], label=["y" ""], markeralpha=[1 2]) ┌ Warning: Indices Base.OneTo(33) of attribute `markerstrokealpha` does not match data indices 1:32. └ @ Plots ~/.julia/packages/Plots/xKhUG/src/utils.jl:141 ┌ Info: Data contains NaNs or missing values, and indices of `markerstrokealpha` vector do not match data indices. │ If you intend elements of `markerstrokealpha` to apply to individual NaN-separated segments in the data, │ pass each segment in a separate vector instead, and use a row vector for `markerstrokealpha`. Legend entries │ may be suppressed by passing an empty label. │ For example, └ plot([1:2,1:3], [[4,5],[3,4,5]], label=["y" ""], markerstrokealpha=[1 2]) ┌ Warning: Indices Base.OneTo(33) of attribute `markershape` does not match data indices 1:32. └ @ Plots ~/.julia/packages/Plots/xKhUG/src/utils.jl:141 ┌ Info: Data contains NaNs or missing values, and indices of `markershape` vector do not match data indices. │ If you intend elements of `markershape` to apply to individual NaN-separated segments in the data, │ pass each segment in a separate vector instead, and use a row vector for `markershape`. Legend entries │ may be suppressed by passing an empty label. │ For example, └ plot([1:2,1:3], [[4,5],[3,4,5]], label=["y" ""], markershape=[1 2]) ┌ Warning: Indices Base.OneTo(33) of attribute `markeralpha` does not match data indices 1:32. └ @ Plots ~/.julia/packages/Plots/xKhUG/src/utils.jl:141 ┌ Info: Data contains NaNs or missing values, and indices of `markeralpha` vector do not match data indices. │ If you intend elements of `markeralpha` to apply to individual NaN-separated segments in the data, │ pass each segment in a separate vector instead, and use a row vector for `markeralpha`. Legend entries │ may be suppressed by passing an empty label. │ For example, └ plot([1:2,1:3], [[4,5],[3,4,5]], label=["y" ""], markeralpha=[1 2]) ┌ Warning: Indices Base.OneTo(33) of attribute `markerstrokealpha` does not match data indices 1:32. └ @ Plots ~/.julia/packages/Plots/xKhUG/src/utils.jl:141 ┌ Info: Data contains NaNs or missing values, and indices of `markerstrokealpha` vector do not match data indices. │ If you intend elements of `markerstrokealpha` to apply to individual NaN-separated segments in the data, │ pass each segment in a separate vector instead, and use a row vector for `markerstrokealpha`. Legend entries │ may be suppressed by passing an empty label. │ For example, └ plot([1:2,1:3], [[4,5],[3,4,5]], label=["y" ""], markerstrokealpha=[1 2]) ┌ Warning: Indices Base.OneTo(33) of attribute `markershape` does not match data indices 1:32. └ @ Plots ~/.julia/packages/Plots/xKhUG/src/utils.jl:141 ┌ Info: Data contains NaNs or missing values, and indices of `markershape` vector do not match data indices. │ If you intend elements of `markershape` to apply to individual NaN-separated segments in the data, │ pass each segment in a separate vector instead, and use a row vector for `markershape`. Legend entries │ may be suppressed by passing an empty label. │ For example, └ plot([1:2,1:3], [[4,5],[3,4,5]], label=["y" ""], markershape=[1 2]) [ Info: Reference image references/interval_closed_open.png matches. Difference: 0.004578714937771522 ┌ Warning: Indices Base.OneTo(33) of attribute `markeralpha` does not match data indices 1:32. └ @ Plots ~/.julia/packages/Plots/xKhUG/src/utils.jl:141 ┌ Info: Data contains NaNs or missing values, and indices of `markeralpha` vector do not match data indices. │ If you intend elements of `markeralpha` to apply to individual NaN-separated segments in the data, │ pass each segment in a separate vector instead, and use a row vector for `markeralpha`. Legend entries │ may be suppressed by passing an empty label. │ For example, └ plot([1:2,1:3], [[4,5],[3,4,5]], label=["y" ""], markeralpha=[1 2]) ┌ Warning: Indices Base.OneTo(33) of attribute `markerstrokealpha` does not match data indices 1:32. └ @ Plots ~/.julia/packages/Plots/xKhUG/src/utils.jl:141 ┌ Info: Data contains NaNs or missing values, and indices of `markerstrokealpha` vector do not match data indices. │ If you intend elements of `markerstrokealpha` to apply to individual NaN-separated segments in the data, │ pass each segment in a separate vector instead, and use a row vector for `markerstrokealpha`. Legend entries │ may be suppressed by passing an empty label. │ For example, └ plot([1:2,1:3], [[4,5],[3,4,5]], label=["y" ""], markerstrokealpha=[1 2]) ┌ Warning: Indices Base.OneTo(33) of attribute `markershape` does not match data indices 1:32. └ @ Plots ~/.julia/packages/Plots/xKhUG/src/utils.jl:141 ┌ Info: Data contains NaNs or missing values, and indices of `markershape` vector do not match data indices. │ If you intend elements of `markershape` to apply to individual NaN-separated segments in the data, │ pass each segment in a separate vector instead, and use a row vector for `markershape`. Legend entries │ may be suppressed by passing an empty label. │ For example, └ plot([1:2,1:3], [[4,5],[3,4,5]], label=["y" ""], markershape=[1 2]) ┌ Warning: Indices Base.OneTo(33) of attribute `markeralpha` does not match data indices 1:32. └ @ Plots ~/.julia/packages/Plots/xKhUG/src/utils.jl:141 ┌ Info: Data contains NaNs or missing values, and indices of `markeralpha` vector do not match data indices. │ If you intend elements of `markeralpha` to apply to individual NaN-separated segments in the data, │ pass each segment in a separate vector instead, and use a row vector for `markeralpha`. Legend entries │ may be suppressed by passing an empty label. │ For example, └ plot([1:2,1:3], [[4,5],[3,4,5]], label=["y" ""], markeralpha=[1 2]) ┌ Warning: Indices Base.OneTo(33) of attribute `markerstrokealpha` does not match data indices 1:32. └ @ Plots ~/.julia/packages/Plots/xKhUG/src/utils.jl:141 ┌ Info: Data contains NaNs or missing values, and indices of `markerstrokealpha` vector do not match data indices. │ If you intend elements of `markerstrokealpha` to apply to individual NaN-separated segments in the data, │ pass each segment in a separate vector instead, and use a row vector for `markerstrokealpha`. Legend entries │ may be suppressed by passing an empty label. │ For example, └ plot([1:2,1:3], [[4,5],[3,4,5]], label=["y" ""], markerstrokealpha=[1 2]) ┌ Warning: Indices Base.OneTo(33) of attribute `markershape` does not match data indices 1:32. └ @ Plots ~/.julia/packages/Plots/xKhUG/src/utils.jl:141 ┌ Info: Data contains NaNs or missing values, and indices of `markershape` vector do not match data indices. │ If you intend elements of `markershape` to apply to individual NaN-separated segments in the data, │ pass each segment in a separate vector instead, and use a row vector for `markershape`. Legend entries │ may be suppressed by passing an empty label. │ For example, └ plot([1:2,1:3], [[4,5],[3,4,5]], label=["y" ""], markershape=[1 2]) [ Info: Reference image references/interval_open_open.png matches. Difference: 0.004520602932304406 ┌ Warning: Indices Base.OneTo(33) of attribute `markeralpha` does not match data indices 1:32. └ @ Plots ~/.julia/packages/Plots/xKhUG/src/utils.jl:141 ┌ Info: Data contains NaNs or missing values, and indices of `markeralpha` vector do not match data indices. │ If you intend elements of `markeralpha` to apply to individual NaN-separated segments in the data, │ pass each segment in a separate vector instead, and use a row vector for `markeralpha`. Legend entries │ may be suppressed by passing an empty label. │ For example, └ plot([1:2,1:3], [[4,5],[3,4,5]], label=["y" ""], markeralpha=[1 2]) ┌ Warning: Indices Base.OneTo(33) of attribute `markerstrokealpha` does not match data indices 1:32. └ @ Plots ~/.julia/packages/Plots/xKhUG/src/utils.jl:141 ┌ Info: Data contains NaNs or missing values, and indices of `markerstrokealpha` vector do not match data indices. │ If you intend elements of `markerstrokealpha` to apply to individual NaN-separated segments in the data, │ pass each segment in a separate vector instead, and use a row vector for `markerstrokealpha`. Legend entries │ may be suppressed by passing an empty label. │ For example, └ plot([1:2,1:3], [[4,5],[3,4,5]], label=["y" ""], markerstrokealpha=[1 2]) ┌ Warning: Indices Base.OneTo(33) of attribute `markershape` does not match data indices 1:32. └ @ Plots ~/.julia/packages/Plots/xKhUG/src/utils.jl:141 ┌ Info: Data contains NaNs or missing values, and indices of `markershape` vector do not match data indices. │ If you intend elements of `markershape` to apply to individual NaN-separated segments in the data, │ pass each segment in a separate vector instead, and use a row vector for `markershape`. Legend entries │ may be suppressed by passing an empty label. │ For example, └ plot([1:2,1:3], [[4,5],[3,4,5]], label=["y" ""], markershape=[1 2]) ┌ Warning: Indices Base.OneTo(33) of attribute `markeralpha` does not match data indices 1:32. └ @ Plots ~/.julia/packages/Plots/xKhUG/src/utils.jl:141 ┌ Info: Data contains NaNs or missing values, and indices of `markeralpha` vector do not match data indices. │ If you intend elements of `markeralpha` to apply to individual NaN-separated segments in the data, │ pass each segment in a separate vector instead, and use a row vector for `markeralpha`. Legend entries │ may be suppressed by passing an empty label. │ For example, └ plot([1:2,1:3], [[4,5],[3,4,5]], label=["y" ""], markeralpha=[1 2]) ┌ Warning: Indices Base.OneTo(33) of attribute `markerstrokealpha` does not match data indices 1:32. └ @ Plots ~/.julia/packages/Plots/xKhUG/src/utils.jl:141 ┌ Info: Data contains NaNs or missing values, and indices of `markerstrokealpha` vector do not match data indices. │ If you intend elements of `markerstrokealpha` to apply to individual NaN-separated segments in the data, │ pass each segment in a separate vector instead, and use a row vector for `markerstrokealpha`. Legend entries │ may be suppressed by passing an empty label. │ For example, └ plot([1:2,1:3], [[4,5],[3,4,5]], label=["y" ""], markerstrokealpha=[1 2]) ┌ Warning: Indices Base.OneTo(33) of attribute `markershape` does not match data indices 1:32. └ @ Plots ~/.julia/packages/Plots/xKhUG/src/utils.jl:141 ┌ Info: Data contains NaNs or missing values, and indices of `markershape` vector do not match data indices. │ If you intend elements of `markershape` to apply to individual NaN-separated segments in the data, │ pass each segment in a separate vector instead, and use a row vector for `markershape`. Legend entries │ may be suppressed by passing an empty label. │ For example, └ plot([1:2,1:3], [[4,5],[3,4,5]], label=["y" ""], markershape=[1 2]) [ Info: Reference image references/interval_open_open.png matches. Difference: 0.004520602932304406 ┌ Warning: Indices Base.OneTo(33) of attribute `markeralpha` does not match data indices 1:32. └ @ Plots ~/.julia/packages/Plots/xKhUG/src/utils.jl:141 ┌ Info: Data contains NaNs or missing values, and indices of `markeralpha` vector do not match data indices. │ If you intend elements of `markeralpha` to apply to individual NaN-separated segments in the data, │ pass each segment in a separate vector instead, and use a row vector for `markeralpha`. Legend entries │ may be suppressed by passing an empty label. │ For example, └ plot([1:2,1:3], [[4,5],[3,4,5]], label=["y" ""], markeralpha=[1 2]) ┌ Warning: Indices Base.OneTo(33) of attribute `markerstrokealpha` does not match data indices 1:32. └ @ Plots ~/.julia/packages/Plots/xKhUG/src/utils.jl:141 ┌ Info: Data contains NaNs or missing values, and indices of `markerstrokealpha` vector do not match data indices. │ If you intend elements of `markerstrokealpha` to apply to individual NaN-separated segments in the data, │ pass each segment in a separate vector instead, and use a row vector for `markerstrokealpha`. Legend entries │ may be suppressed by passing an empty label. │ For example, └ plot([1:2,1:3], [[4,5],[3,4,5]], label=["y" ""], markerstrokealpha=[1 2]) ┌ Warning: Indices Base.OneTo(33) of attribute `markershape` does not match data indices 1:32. └ @ Plots ~/.julia/packages/Plots/xKhUG/src/utils.jl:141 ┌ Info: Data contains NaNs or missing values, and indices of `markershape` vector do not match data indices. │ If you intend elements of `markershape` to apply to individual NaN-separated segments in the data, │ pass each segment in a separate vector instead, and use a row vector for `markershape`. Legend entries │ may be suppressed by passing an empty label. │ For example, └ plot([1:2,1:3], [[4,5],[3,4,5]], label=["y" ""], markershape=[1 2]) ┌ Warning: Indices Base.OneTo(33) of attribute `markeralpha` does not match data indices 1:32. └ @ Plots ~/.julia/packages/Plots/xKhUG/src/utils.jl:141 ┌ Info: Data contains NaNs or missing values, and indices of `markeralpha` vector do not match data indices. │ If you intend elements of `markeralpha` to apply to individual NaN-separated segments in the data, │ pass each segment in a separate vector instead, and use a row vector for `markeralpha`. Legend entries │ may be suppressed by passing an empty label. │ For example, └ plot([1:2,1:3], [[4,5],[3,4,5]], label=["y" ""], markeralpha=[1 2]) ┌ Warning: Indices Base.OneTo(33) of attribute `markerstrokealpha` does not match data indices 1:32. └ @ Plots ~/.julia/packages/Plots/xKhUG/src/utils.jl:141 ┌ Info: Data contains NaNs or missing values, and indices of `markerstrokealpha` vector do not match data indices. │ If you intend elements of `markerstrokealpha` to apply to individual NaN-separated segments in the data, │ pass each segment in a separate vector instead, and use a row vector for `markerstrokealpha`. Legend entries │ may be suppressed by passing an empty label. │ For example, └ plot([1:2,1:3], [[4,5],[3,4,5]], label=["y" ""], markerstrokealpha=[1 2]) ┌ Warning: Indices Base.OneTo(33) of attribute `markershape` does not match data indices 1:32. └ @ Plots ~/.julia/packages/Plots/xKhUG/src/utils.jl:141 ┌ Info: Data contains NaNs or missing values, and indices of `markershape` vector do not match data indices. │ If you intend elements of `markershape` to apply to individual NaN-separated segments in the data, │ pass each segment in a separate vector instead, and use a row vector for `markershape`. Legend entries │ may be suppressed by passing an empty label. │ For example, └ plot([1:2,1:3], [[4,5],[3,4,5]], label=["y" ""], markershape=[1 2]) [ Info: Reference image references/interval_datetime.png matches. Difference: 0.00860701759039552 ┌ Warning: Indices Base.OneTo(33) of attribute `markeralpha` does not match data indices 1:32. └ @ Plots ~/.julia/packages/Plots/xKhUG/src/utils.jl:141 ┌ Info: Data contains NaNs or missing values, and indices of `markeralpha` vector do not match data indices. │ If you intend elements of `markeralpha` to apply to individual NaN-separated segments in the data, │ pass each segment in a separate vector instead, and use a row vector for `markeralpha`. Legend entries │ may be suppressed by passing an empty label. │ For example, └ plot([1:2,1:3], [[4,5],[3,4,5]], label=["y" ""], markeralpha=[1 2]) ┌ Warning: Indices Base.OneTo(33) of attribute `markerstrokealpha` does not match data indices 1:32. └ @ Plots ~/.julia/packages/Plots/xKhUG/src/utils.jl:141 ┌ Info: Data contains NaNs or missing values, and indices of `markerstrokealpha` vector do not match data indices. │ If you intend elements of `markerstrokealpha` to apply to individual NaN-separated segments in the data, │ pass each segment in a separate vector instead, and use a row vector for `markerstrokealpha`. Legend entries │ may be suppressed by passing an empty label. │ For example, └ plot([1:2,1:3], [[4,5],[3,4,5]], label=["y" ""], markerstrokealpha=[1 2]) ┌ Warning: Indices Base.OneTo(33) of attribute `markershape` does not match data indices 1:32. └ @ Plots ~/.julia/packages/Plots/xKhUG/src/utils.jl:141 ┌ Info: Data contains NaNs or missing values, and indices of `markershape` vector do not match data indices. │ If you intend elements of `markershape` to apply to individual NaN-separated segments in the data, │ pass each segment in a separate vector instead, and use a row vector for `markershape`. Legend entries │ may be suppressed by passing an empty label. │ For example, └ plot([1:2,1:3], [[4,5],[3,4,5]], label=["y" ""], markershape=[1 2]) ┌ Warning: Indices Base.OneTo(33) of attribute `markeralpha` does not match data indices 1:32. └ @ Plots ~/.julia/packages/Plots/xKhUG/src/utils.jl:141 ┌ Info: Data contains NaNs or missing values, and indices of `markeralpha` vector do not match data indices. │ If you intend elements of `markeralpha` to apply to individual NaN-separated segments in the data, │ pass each segment in a separate vector instead, and use a row vector for `markeralpha`. Legend entries │ may be suppressed by passing an empty label. │ For example, └ plot([1:2,1:3], [[4,5],[3,4,5]], label=["y" ""], markeralpha=[1 2]) ┌ Warning: Indices Base.OneTo(33) of attribute `markerstrokealpha` does not match data indices 1:32. └ @ Plots ~/.julia/packages/Plots/xKhUG/src/utils.jl:141 ┌ Info: Data contains NaNs or missing values, and indices of `markerstrokealpha` vector do not match data indices. │ If you intend elements of `markerstrokealpha` to apply to individual NaN-separated segments in the data, │ pass each segment in a separate vector instead, and use a row vector for `markerstrokealpha`. Legend entries │ may be suppressed by passing an empty label. │ For example, └ plot([1:2,1:3], [[4,5],[3,4,5]], label=["y" ""], markerstrokealpha=[1 2]) ┌ Warning: Indices Base.OneTo(33) of attribute `markershape` does not match data indices 1:32. └ @ Plots ~/.julia/packages/Plots/xKhUG/src/utils.jl:141 ┌ Info: Data contains NaNs or missing values, and indices of `markershape` vector do not match data indices. │ If you intend elements of `markershape` to apply to individual NaN-separated segments in the data, │ pass each segment in a separate vector instead, and use a row vector for `markershape`. Legend entries │ may be suppressed by passing an empty label. │ For example, └ plot([1:2,1:3], [[4,5],[3,4,5]], label=["y" ""], markershape=[1 2]) [ Info: Reference image references/HE.png matches. Difference: 0.008558716740357844 ┌ Warning: Indices Base.OneTo(33) of attribute `markeralpha` does not match data indices 1:32. └ @ Plots ~/.julia/packages/Plots/xKhUG/src/utils.jl:141 ┌ Info: Data contains NaNs or missing values, and indices of `markeralpha` vector do not match data indices. │ If you intend elements of `markeralpha` to apply to individual NaN-separated segments in the data, │ pass each segment in a separate vector instead, and use a row vector for `markeralpha`. Legend entries │ may be suppressed by passing an empty label. │ For example, └ plot([1:2,1:3], [[4,5],[3,4,5]], label=["y" ""], markeralpha=[1 2]) ┌ Warning: Indices Base.OneTo(33) of attribute `markerstrokealpha` does not match data indices 1:32. └ @ Plots ~/.julia/packages/Plots/xKhUG/src/utils.jl:141 ┌ Info: Data contains NaNs or missing values, and indices of `markerstrokealpha` vector do not match data indices. │ If you intend elements of `markerstrokealpha` to apply to individual NaN-separated segments in the data, │ pass each segment in a separate vector instead, and use a row vector for `markerstrokealpha`. Legend entries │ may be suppressed by passing an empty label. │ For example, └ plot([1:2,1:3], [[4,5],[3,4,5]], label=["y" ""], markerstrokealpha=[1 2]) ┌ Warning: Indices Base.OneTo(33) of attribute `markershape` does not match data indices 1:32. └ @ Plots ~/.julia/packages/Plots/xKhUG/src/utils.jl:141 ┌ Info: Data contains NaNs or missing values, and indices of `markershape` vector do not match data indices. │ If you intend elements of `markershape` to apply to individual NaN-separated segments in the data, │ pass each segment in a separate vector instead, and use a row vector for `markershape`. Legend entries │ may be suppressed by passing an empty label. │ For example, └ plot([1:2,1:3], [[4,5],[3,4,5]], label=["y" ""], markershape=[1 2]) ┌ Warning: Indices Base.OneTo(33) of attribute `markeralpha` does not match data indices 1:32. └ @ Plots ~/.julia/packages/Plots/xKhUG/src/utils.jl:141 ┌ Info: Data contains NaNs or missing values, and indices of `markeralpha` vector do not match data indices. │ If you intend elements of `markeralpha` to apply to individual NaN-separated segments in the data, │ pass each segment in a separate vector instead, and use a row vector for `markeralpha`. Legend entries │ may be suppressed by passing an empty label. │ For example, └ plot([1:2,1:3], [[4,5],[3,4,5]], label=["y" ""], markeralpha=[1 2]) ┌ Warning: Indices Base.OneTo(33) of attribute `markerstrokealpha` does not match data indices 1:32. └ @ Plots ~/.julia/packages/Plots/xKhUG/src/utils.jl:141 ┌ Info: Data contains NaNs or missing values, and indices of `markerstrokealpha` vector do not match data indices. │ If you intend elements of `markerstrokealpha` to apply to individual NaN-separated segments in the data, │ pass each segment in a separate vector instead, and use a row vector for `markerstrokealpha`. Legend entries │ may be suppressed by passing an empty label. │ For example, └ plot([1:2,1:3], [[4,5],[3,4,5]], label=["y" ""], markerstrokealpha=[1 2]) ┌ Warning: Indices Base.OneTo(33) of attribute `markershape` does not match data indices 1:32. └ @ Plots ~/.julia/packages/Plots/xKhUG/src/utils.jl:141 ┌ Info: Data contains NaNs or missing values, and indices of `markershape` vector do not match data indices. │ If you intend elements of `markershape` to apply to individual NaN-separated segments in the data, │ pass each segment in a separate vector instead, and use a row vector for `markershape`. Legend entries │ may be suppressed by passing an empty label. │ For example, └ plot([1:2,1:3], [[4,5],[3,4,5]], label=["y" ""], markershape=[1 2]) [ Info: Reference image references/HB.png matches. Difference: 0.008574087599628678 ┌ Warning: Skipping doctests └ @ Main ~/.julia/packages/Intervals/V53WF/test/runtests.jl:31 Test Summary: | Pass Broken Total Time Intervals | 23838 22 23860 44m01.0s Testing Intervals tests passed Testing completed after 2563.34s PkgEval terminated after 2893.71s: test duration exceeded the time limit