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Step 1: Select submission files

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You need to write some code that returns the absolute paths to the students' homework submissions. The following code works for me, but probably not for you.

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Step 2: manual grade actions

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Part 2: manual review

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join::Bool, sort::Bool)§inlinedÂ£urlÙbhttps://github.com/JuliaLang/julia/tree/742b9abb4dd4621b667ec5bb3434b8b3602f96fd/base/file.jl#L844¤path©./file.jl®source_packageÀ¤callÙ,readdir(dir::String; join::Bool, sort::Bool)ªlinfo_type³Core.MethodInstance¤lineÍS¤file§file.jl¤func«#readdir#28parent_moduleÀ¦from_cÂŒªcall_short¯top-level scope§inlinedÃ£urlÀ¤pathÙt/home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#427f19de-e6d2-11ea-10a8-5d3552224b31®source_packageÀ¤call¯top-level scopeªlinfo_type§Nothing¤line¤fileÙ2updated.jl#==#427f19de-e6d2-11ea-10a8-5d3552224b31¤func»##function_wrapped_cell#298parent_moduleÀ¦from_cÂ¤mimeÙ'application/vnd.pluto.stacktrace+object¬rootassignee°submission_files²last_run_timestampËAÚý,Ui°persist_js_stateÂ·has_pluto_hook_featuresÂ§cell_idÙ$427f19de-e6d2-11ea-10a8-5d3552224b31¹depends_on_disabled_cellsÂ§runtimeÀµpublished_object_keys¸depends_on_skipped_cellsÂ§erroredÃÙ$e9b4c316-f852-11ea-3840-e7b1428df4e9Š¦queuedÂ¤logs§runningÂ¦output†¤body‚£msgÙ3UndefVarError: inspected_manual_results not definedªstacktrace‘Œªcall_short¯top-level scope§inlinedÂ£urlÀ¤pathÙt/home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#e9b4c316-f852-11ea-3840-e7b1428df4e9®source_packageÀ¤call¯top-level scopeªlinfo_typeCore.CodeInfo¤line¤fileÙ2updated.jl#==#e9b4c316-f852-11ea-3840-e7b1428df4e9¤func¯top-level scopeparent_moduleÀ¦from_cÂ¤mimeÙ'application/vnd.pluto.stacktrace+object¬rootassigneeÀ²last_run_timestampËAÚýÅ€ñ°persist_js_stateÂ·has_pluto_hook_featuresÂ§cell_idÙ$e9b4c316-f852-11ea-3840-e7b1428df4e9¹depends_on_disabled_cellsÂ§runtimeÀµpublished_object_keys¸depends_on_skipped_cellsÂ§erroredÃÙ$a0776916-f865-11ea-387a-bf2e3094a182Š¦queuedÂ¤logs§runningÂ¦output†¤bodyÙV

I have already written these, you can ignore this.

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Step 3: autograde all notebooks

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Step 1: start notebook server

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Manual grading

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Click to start notebook server:

run notebook server

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Autograde results for selected homework

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Did they write colored_line(v)?

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Did they create a slider? Does the slider control the amount of blur?

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Is convole_image correct?

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Does the Gaussian blur look okay?

©text/html¤type¦struct¬prefix_short±ManualScoreAction¨objectid°48a78042952f516dÙ!application/vnd.pluto.tree+object’’…¦prefix±ManualScoreAction¨elements“’¤name’´"4.4 - Sobel filter"ªtext/plain’¬points_value’¢10ªtext/plain’¦rubric’ÙD

Does the Sobel filter look okay?

©text/html¤type¦struct¬prefix_short±ManualScoreAction¨objectid°71e3bbd0f43e0de4Ù!application/vnd.pluto.tree+object¤type¥Array¬prefix_short ¨objectid°4d27e73ff760fa86¤mimeÙ!application/vnd.pluto.tree+object¬rootassignee¦manual²last_run_timestampËAÚý¶¬C°persist_js_stateÂ·has_pluto_hook_featuresÂ§cell_idÙ$7b3bb8c8-f687-11ea-27bb-45ed5807090e¹depends_on_disabled_cellsÂ§runtimeÎ=HÌµpublished_object_keys¸depends_on_skipped_cellsÂ§erroredÂÙ$144aa7ec-f864-11ea-35c4-43e19d898887Š¦queuedÂ¤logs§runningÂ¦output†¤body¢53¤mimeªtext/plain¬rootassigneeÀ²last_run_timestampËAÚý¾N{°persist_js_stateÂ·has_pluto_hook_featuresÂ§cell_idÙ$144aa7ec-f864-11ea-35c4-43e19d898887¹depends_on_disabled_cellsÂ§runtimeÎw½,µpublished_object_keys¸depends_on_skipped_cellsÂ§erroredÂÙ$eade89f2-e6de-11ea-11bb-531a6b65c666Š¦queuedÂ¤logs§runningÂ¦output†¤body‚£msgÙBBoundsError: attempt to access 0-element Vector{Pair} at index [1]ªstacktrace•Œªcall_short¨getindex§inlinedÃ£urlÀ¤pathª./array.jl®source_packageÀ¤call¨getindexªlinfo_type§Nothing¤lineÍ]¤file¨array.jl¤func¨getindexparent_moduleÀ¦from_cÂŒªcall_short¶first(a::Vector{Pair})§inlinedÂ£urlÙkhttps://github.com/JuliaLang/julia/tree/742b9abb4dd4621b667ec5bb3434b8b3602f96fd/base/abstractarray.jl#L398¤path²./abstractarray.jl®source_packageÀ¤call¶first(a::Vector{Pair})ªlinfo_type³Core.MethodInstance¤lineÍŽ¤file°abstractarray.jl¤func¥firstparent_moduleÀ¦from_cÂŒªcall_shortÙ,get(select::PlutoUI.BuiltinsNotebook.Select)§inlinedÂ£urlÙAfile:///home/runner/.julia/packages/PlutoUI/hjutS/src/Builtins.jl¤pathÙ:/home/runner/.julia/packages/PlutoUI/hjutS/src/Builtins.jl®source_packageÀ¤callÙ,get(select::PlutoUI.BuiltinsNotebook.Select)ªlinfo_type³Core.MethodInstance¤lineÍ›¤file«Builtins.jl¤func£getparent_moduleÀ¦from_cÂŒªcall_short¯macro expansion§inlinedÃ£urlÀ¤pathÙv/home/runner/.julia/packages/Pluto/6smog/src/runner/PlutoRunner/src/bonds.jl#@#==#eade89f2-e6de-11ea-11bb-531a6b65c666®source_packageÀ¤call¯macro expansionªlinfo_type§Nothing¤line~¤fileÙ2bonds.jl#@#==#eade89f2-e6de-11ea-11bb-531a6b65c666¤func¯macro expansionparent_moduleÀ¦from_cÂŒªcall_short¯top-level scope§inlinedÂ£urlÀ¤pathÙt/home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eade89f2-e6de-11ea-11bb-531a6b65c666®source_packageÀ¤call¯top-level scopeªlinfo_typeCore.CodeInfo¤line¤fileÙ2updated.jl#==#eade89f2-e6de-11ea-11bb-531a6b65c666¤func¯top-level scopeparent_moduleÀ¦from_cÂ¤mimeÙ'application/vnd.pluto.stacktrace+object¬rootassigneeÀ²last_run_timestampËAÚý=?â°persist_js_stateÂ·has_pluto_hook_featuresÂ§cell_idÙ$eade89f2-e6de-11ea-11bb-531a6b65c666¹depends_on_disabled_cellsÂ§runtimeÀµpublished_object_keys¸depends_on_skipped_cellsÂ§erroredÃÙ$bbcd528e-e6e5-11ea-2d9c-a50835477b2eŠ¦queuedÂ¤logs§runningÂ¦output†¤bodyÙ.

Not used

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Step 2: autograde actions

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It should return an arrays of strings, something like:

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Misc

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Part 1: autograding

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Grading actions

¤mime©text/html¬rootassigneeÀ²last_run_timestampËAÚý>[Ñ°persist_js_stateÂ·has_pluto_hook_featuresÂ§cell_idÙ$ce055a44-e6d8-11ea-3a07-75392c0f6c26¹depends_on_disabled_cellsÂ§runtimeÎz2µpublished_object_keys¸depends_on_skipped_cellsÂ§erroredÂÙ$7cb1c9bc-f684-11ea-00f3-dfd11c9b72efŠ¦queuedÂ¤logs§runningÂ¦output†¤body‚£msgÙ$UndefVarError: HTMLTable not definedªstacktrace‘Œªcall_short¯top-level scope§inlinedÂ£urlÀ¤pathÙt/home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#7cb1c9bc-f684-11ea-00f3-dfd11c9b72ef®source_packageÀ¤call¯top-level scopeªlinfo_typeCore.CodeInfo¤line¤fileÙ2updated.jl#==#7cb1c9bc-f684-11ea-00f3-dfd11c9b72ef¤func¯top-level scopeparent_moduleÀ¦from_cÂ¤mimeÙ'application/vnd.pluto.stacktrace+object¬rootassigneeÀ²last_run_timestampËAÚýr=÷°persist_js_stateÂ·has_pluto_hook_featuresÂ§cell_idÙ$7cb1c9bc-f684-11ea-00f3-dfd11c9b72ef¹depends_on_disabled_cellsÂ§runtimeÀµpublished_object_keys¸depends_on_skipped_cellsÂ§erroredÃÙ$459687e0-e6e3-11ea-0c85-89516c7a2da0Š¦queuedÂ¤logs§runningÂ¦output†¤body‚£msgÙ,UndefVarError: manual_results_df not definedªstacktrace‘Œªcall_short¯top-level scope§inlinedÂ£urlÀ¤pathÙt/home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#459687e0-e6e3-11ea-0c85-89516c7a2da0®source_packageÀ¤call¯top-level scopeªlinfo_typeCore.CodeInfo¤line¤fileÙ2updated.jl#==#459687e0-e6e3-11ea-0c85-89516c7a2da0¤func¯top-level scopeparent_moduleÀ¦from_cÂ¤mimeÙ'application/vnd.pluto.stacktrace+object¬rootassigneeÀ²last_run_timestampËAÚý¯ŸÇ°persist_js_stateÂ·has_pluto_hook_featuresÂ§cell_idÙ$459687e0-e6e3-11ea-0c85-89516c7a2da0¹depends_on_disabled_cellsÂ§runtimeÀµpublished_object_keys¸depends_on_skipped_cellsÂ§erroredÃÙ$c0d9fb36-f858-11ea-35c0-77963b5cf57aŠ¦queuedÂ¤logs§runningÂ¦output†¤body¥107.5¤mimeªtext/plain¬rootassigneeÀ²last_run_timestampËAÚýœŒ°persist_js_stateÂ·has_pluto_hook_featuresÂ§cell_idÙ$c0d9fb36-f858-11ea-35c0-77963b5cf57a¹depends_on_disabled_cellsÂ§runtimeÎ/ö$µpublished_object_keys¸depends_on_skipped_cellsÂ§erroredÂÙ$9982bbfa-00c0-11eb-0a5c-818fae8c01ceŠ¦queuedÂ¤logs§runningÂ¦output†¤body¥Pluto¤mimeªtext/plain¬rootassigneeÀ²last_run_timestampËAÚýÔyO°persist_js_stateÂ·has_pluto_hook_featuresÂ§cell_idÙ$9982bbfa-00c0-11eb-0a5c-818fae8c01ce¹depends_on_disabled_cellsÂ§runtimeÍ%Lµpublished_object_keys¸depends_on_skipped_cellsÂ§erroredÂÙ$96917e4e-f687-11ea-2256-7b1057a3b523Š¦queuedÂ¤logs§runningÂ¦output†¤body±ManualScoreAction¤mimeªtext/plain¬rootassigneeÀ²last_run_timestampËAÚýe °persist_js_stateÂ·has_pluto_hook_featuresÂ§cell_idÙ$96917e4e-f687-11ea-2256-7b1057a3b523¹depends_on_disabled_cellsÂ§runtimeÎ;¤µpublished_object_keys¸depends_on_skipped_cellsÂ§erroredÂÙ$469a28fc-f856-11ea-2a6b-a706e607cf9fŠ¦queuedÂ¤logs§runningÂ¦output†¤body‚£msgÙ6UndefVarError: updated_manual_results_dict not definedªstacktrace‘Œªcall_short¯top-level scope§inlinedÂ£urlÀ¤pathÙt/home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#469a28fc-f856-11ea-2a6b-a706e607cf9f®source_packageÀ¤call¯top-level scopeªlinfo_typeCore.CodeInfo¤line¤fileÙ2updated.jl#==#469a28fc-f856-11ea-2a6b-a706e607cf9f¤func¯top-level scopeparent_moduleÀ¦from_cÂ¤mimeÙ'application/vnd.pluto.stacktrace+object¬rootassignee±manual_results_df²last_run_timestampËAÚýÜ×°persist_js_stateÂ·has_pluto_hook_featuresÂ§cell_idÙ$469a28fc-f856-11ea-2a6b-a706e607cf9f¹depends_on_disabled_cellsÂ§runtimeÀµpublished_object_keys¸depends_on_skipped_cellsÂ§erroredÃÙ$b6b986c8-e6de-11ea-1d13-5d9d370eccdcŠ¦queuedÂ¤logs§runningÂ¦output†¤body ¤mimeªtext/plain¬rootassigneeÀ²last_run_timestampËAÚýV¨ °persist_js_stateÂ·has_pluto_hook_featuresÂ§cell_idÙ$b6b986c8-e6de-11ea-1d13-5d9d370eccdc¹depends_on_disabled_cellsÂ§runtimeÎµpublished_object_keys¸depends_on_skipped_cellsÂ§erroredÂÙ$eaa49370-e6da-11ea-21d9-ddf11a7df51fŠ¦queuedÂ¤logs§runningÂ¦output†¤body…¦prefix¾Main.workspace#3.GradingAction¨elementsÜ’’…¦prefix¨GetValue¨elements’’¤name’¦"name"ªtext/plain’¦getter’¯:(student.name)ªtext/plain¤type¦struct¬prefix_short¨GetValue¨objectid°11958f47ce963125Ù!application/vnd.pluto.tree+object’’…¦prefix¨GetValue¨elements’’¤name’"kerberos_id"ªtext/plain’¦getter’¶:(student.kerberos_id)ªtext/plain¤type¦struct¬prefix_short¨GetValue¨objectid°7c88c5ffcc373c49Ù!application/vnd.pluto.tree+object’’…¦prefix®AutoTestAction¨elements“’¤name’µ"1.1 - random vector"ªtext/plain’¬points_value’¡5ªtext/plain’¤test’ÙÌquote #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:111 =# length(random_vect) == 10 && length(Set(random_vect)) == 10 endªtext/plain¤type¦struct¬prefix_short®AutoTestAction¨objectid°8081aba1f05ea454Ù!application/vnd.pluto.tree+object’’…¦prefix®AutoTestAction¨elements“’¤name’¬"1.1 - mean"ªtext/plain’¬points_value’¡5ªtext/plain’¤test’Ù¨quote #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:115 =# mean([-1, -1, 2]) â‰ˆ 0 endªtext/plain¤type¦struct¬prefix_short®AutoTestAction¨objectid°887ff3910531f0e4Ù!application/vnd.pluto.tree+object’’…¦prefix®AutoTestAction¨elements“’¤name’º"1.1 - mean of random vec"ªtext/plain’¬points_value’£2.5ªtext/plain’¤test’Ù§quote #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:119 =# m == mean(random_vect) endªtext/plain¤type¦struct¬prefix_short®AutoTestAction¨objectid°8e6a7676b100a674Ù!application/vnd.pluto.tree+object’’…¦prefix®AutoTestAction¨elements“’¤name’·"1.1 - demean function"ªtext/plain’¬points_value’¡5ªtext/plain’¤test’Ù¾quote #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:123 =# demean([1, 2, 3, 4, 5]) â‰ˆ [-2, -1, 0, 1, 2] endªtext/plain¤type¦struct¬prefix_short®AutoTestAction¨objectid°d3e328090c11c176Ù!application/vnd.pluto.tree+object’’…¦prefix®AutoTestAction¨elements“’¤name’·"1.2 - create bar - 20"ªtext/plain’¬points_value’£2.5ªtext/plain’¤test’Ú•quote #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:128 =# create_bar() â‰ˆ let #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:129 =# x = zeros(100) #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:130 =# x[40:59] .= 1 #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:131 =# x end endªtext/plain¤type¦struct¬prefix_short®AutoTestAction¨objectid°7e92b3b3064486e1Ù!application/vnd.pluto.tree+object’’…¦prefix®AutoTestAction¨elements“’¤name’½"1.2 - create bar - 20 or 21"ªtext/plain’¬points_value’£2.5ªtext/plain’¤test’ÚÕquote #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:136 =# create_bar() â‰ˆ let #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:137 =# x = zeros(100) #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:138 =# x[40:59] .= 1 #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:139 =# x end || create_bar() â‰ˆ let #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:142 =# x = zeros(100) #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:143 =# x[40:60] .= 1 #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:144 =# x end endªtext/plain¤type¦struct¬prefix_short®AutoTestAction¨objectid°1700b0cc12a6668aÙ!application/vnd.pluto.tree+object’ ’…¦prefix®AutoTestAction¨elements“’¤name’¸"1.3 - vecvec_to_matrix"ªtext/plain’¬points_value’¡5ªtext/plain’¤test’ÚPquote #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:150 =# vecvec_to_matrix([[1, 2, 3], [4, 5, 6], [7, 8, 9]]) == hcat([1, 2, 3], [4, 5, 6], [7, 8, 9]) || vecvec_to_matrix([[1, 2, 3], [4, 5, 6], [7, 8, 9]]) == (hcat([1, 2, 3], [4, 5, 6], [7, 8, 9]))' endªtext/plain¤type¦struct¬prefix_short®AutoTestAction¨objectid°97f1317f7e027187Ù!application/vnd.pluto.tree+object’ ’…¦prefix®AutoTestAction¨elements“’¤name’¸"1.3 - matrix_to_vecvec"ªtext/plain’¬points_value’¡5ªtext/plain’¤test’Ú'quote #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:155 =# let #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:156 =# A = [1 2; 4 5; 7 8] #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:157 =# matrix_to_vecvec(A) == collect(eachcol(A)) || matrix_to_vecvec(A) == collect(eachrow(A)) end endªtext/plain¤type¦struct¬prefix_short®AutoTestAction¨objectid°9defc1992e2a707fÙ!application/vnd.pluto.tree+object’’…¦prefix®AutoTestAction¨elements“’¤name’³"2.1 - mean colors"ªtext/plain’¬points_value’¡5ªtext/plain’¤test’Ú0%quote #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:164 =# begin #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:4 =# function solution_extend(v, i) #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:4 =# #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:5 =# if i < 1 #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:6 =# v[1] elseif #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:7 =# i > length(v) #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:8 =# v[end] else #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:10 =# v[i] end end #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:14 =# function solution_blur_1D(v, l) #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:14 =# #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:15 =# return map(eachindex(v)) do i #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:16 =# mean([extend(v, i + j) for j = -l:l]) end end #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:20 =# function solution_convolve_vector(v, k) #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:20 =# #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:21 =# l = (length(k) - 1) Ã· 2 #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:22 =# return map(eachindex(v)) do i #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:23 =# sum([extend(v, i - j) * k[j + 1 + l] for j = -l:l]) end end #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:27 =# function solution_pascal(n) #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:27 =# #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:28 =# if n <= 1 #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:29 =# [1.0] else #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:31 =# prev = pascal(n - 1) #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:32 =# 0.5 * ([prev..., 0] .+ [0, prev...]) end end #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:36 =# function solution_gaussian_kernel(n) #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:36 =# #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:37 =# solution_pascal(2n + 1) end #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:40 =# function solution_extend_mat(M::AbstractMatrix, i, j) #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:40 =# #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:41 =# if i < 1 #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:42 =# solution_extend_mat(M, 1, j) elseif #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:43 =# i > size(M, 1) #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:44 =# solution_extend_mat(M, size(M, 1), j) else #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:46 =# if j < 1 #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:47 =# solution_extend_mat(M, i, 1) elseif #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:48 =# j > size(M, 2) #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:49 =# solution_extend_mat(M, i, size(M, 2)) else #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:51 =# M[i, j] end end end #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:56 =# function solution_convolve_image(M::AbstractMatrix, K::AbstractMatrix) #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:56 =# #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:57 =# l = (size(K, 1) - 1) Ã· 2 #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:59 =# map(CartesianIndices(M)) do i #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:60 =# sum(CartesianIndices(K)) do a #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:62 =# offset = a - CartesianIndex(-l - 1, -l - 1) #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:64 =# extend_mat(M, (i - offset).I...) * K[a] end end end #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:69 =# function solution_convolve_image_inverted(M::AbstractMatrix, K::AbstractMatrix) #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:69 =# #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:70 =# l = (size(K, 1) - 1) Ã· 2 #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:72 =# map(CartesianIndices(M)) do i #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:73 =# sum(CartesianIndices(K)) do a #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:75 =# offset = a - CartesianIndex(-l - 1, -l - 1) #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:77 =# extend_mat(M, (i + offset).I...) * K[a] end end end #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:83 =# function solution_with_gaussian_blur(image; sigma = 3, l = 5) #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:83 =# #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:84 =# gauss(x, y; sigma = 3) = begin #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:84 =# (1 / (2 * pi * sigma ^ 2)) * exp(-((x ^ 2 + y ^ 2)) / (2 * sigma ^ 2)) end #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:85 =# K_gauss = [gauss(xy...) for xy = Iterators.product(-l:l, -l:l)] #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:86 =# convolve_image(image, K_gauss ./ sum(K_gauss)) end #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:89 =# function solution_sobel_edge_detect(image) #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:89 =# #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:90 =# K_sobol = [1 0 -1; 2 0 -2; 1 0 -1] #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:95 =# x = solution_convolve_image(image, K_sobol) #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:96 =# y = solution_convolve_image(image, K_sobol') #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:97 =# return x .* x .+ y .* y end #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:100 =# testimg() = begin #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:100 =# rand(RGB, (10, 20)) end end #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:165 =# t = testimg() #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:166 =# mean_colors(t) == ((mean(t)).r, (mean(t)).g, (mean(t)).b) || mean_colors(t) == RGB((mean(t)).r, (mean(t)).g, (mean(t)).b) endªtext/plain¤type¦struct¬prefix_short®AutoTestAction¨objectid°324a5a3d854d6fa8Ù!application/vnd.pluto.tree+object’’…¦prefix®AutoTestAction¨elements“’¤name’¸"2.2 - quantize::Number"ªtext/plain’¬points_value’¡5ªtext/plain’¤test’Ù¯quote #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:172 =# quantize(3) â‰ˆ floor(30) / 10 endªtext/plain¤type¦struct¬prefix_short®AutoTestAction¨objectid°e1e73d63064401fdÙ!application/vnd.pluto.tree+object’ ’…¦prefix®AutoTestAction¨elements“’¤name’·"2.3 - quantize::Color"ªtext/plain’¬points_value’£2.5ªtext/plain’¤test’Úequote #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:177 =# c = rand(RGB) #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:178 =# quantize(c) == RGB(quantize(c.r), quantize(c.g), quantize(c.b)) endªtext/plain¤type¦struct¬prefix_short®AutoTestAction¨objectid°914adfbcd6ea8a63Ù!application/vnd.pluto.tree+object’’…¦prefix®AutoTestAction¨elements“’¤name’Ù "2.4 - quantize::AbstractMatrix"ªtext/plain’¬points_value’£2.5ªtext/plain’¤test’Ú/Çquote #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:183 =# begin #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:4 =# function solution_extend(v, i) #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:4 =# #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:5 =# if i < 1 #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:6 =# v[1] elseif #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:7 =# i > length(v) #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:8 =# v[end] else #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:10 =# v[i] end end #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:14 =# function solution_blur_1D(v, l) #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:14 =# #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:15 =# return map(eachindex(v)) do i #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:16 =# mean([extend(v, i + j) for j = -l:l]) end end #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:20 =# function solution_convolve_vector(v, k) #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:20 =# #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:21 =# l = (length(k) - 1) Ã· 2 #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:22 =# return map(eachindex(v)) do i #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:23 =# sum([extend(v, i - j) * k[j + 1 + l] for j = -l:l]) end end #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:27 =# function solution_pascal(n) #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:27 =# #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:28 =# if n <= 1 #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:29 =# [1.0] else #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:31 =# prev = pascal(n - 1) #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:32 =# 0.5 * ([prev..., 0] .+ [0, prev...]) end end #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:36 =# function solution_gaussian_kernel(n) #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:36 =# #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:37 =# solution_pascal(2n + 1) end #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:40 =# function solution_extend_mat(M::AbstractMatrix, i, j) #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:40 =# #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:41 =# if i < 1 #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:42 =# solution_extend_mat(M, 1, j) elseif #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:43 =# i > size(M, 1) #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:44 =# solution_extend_mat(M, size(M, 1), j) else #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:46 =# if j < 1 #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:47 =# solution_extend_mat(M, i, 1) elseif #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:48 =# j > size(M, 2) #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:49 =# solution_extend_mat(M, i, size(M, 2)) else #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:51 =# M[i, j] end end end #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:56 =# function solution_convolve_image(M::AbstractMatrix, K::AbstractMatrix) #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:56 =# #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:57 =# l = (size(K, 1) - 1) Ã· 2 #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:59 =# map(CartesianIndices(M)) do i #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:60 =# sum(CartesianIndices(K)) do a #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:62 =# offset = a - CartesianIndex(-l - 1, -l - 1) #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:64 =# extend_mat(M, (i - offset).I...) * K[a] end end end #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:69 =# function solution_convolve_image_inverted(M::AbstractMatrix, K::AbstractMatrix) #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:69 =# #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:70 =# l = (size(K, 1) - 1) Ã· 2 #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:72 =# map(CartesianIndices(M)) do i #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:73 =# sum(CartesianIndices(K)) do a #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:75 =# offset = a - CartesianIndex(-l - 1, -l - 1) #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:77 =# extend_mat(M, (i + offset).I...) * K[a] end end end #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:83 =# function solution_with_gaussian_blur(image; sigma = 3, l = 5) #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:83 =# #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:84 =# gauss(x, y; sigma = 3) = begin #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:84 =# (1 / (2 * pi * sigma ^ 2)) * exp(-((x ^ 2 + y ^ 2)) / (2 * sigma ^ 2)) end #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:85 =# K_gauss = [gauss(xy...) for xy = Iterators.product(-l:l, -l:l)] #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:86 =# convolve_image(image, K_gauss ./ sum(K_gauss)) end #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:89 =# function solution_sobel_edge_detect(image) #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:89 =# #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:90 =# K_sobol = [1 0 -1; 2 0 -2; 1 0 -1] #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:95 =# x = solution_convolve_image(image, K_sobol) #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:96 =# y = solution_convolve_image(image, K_sobol') #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:97 =# return x .* x .+ y .* y end #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:100 =# testimg() = begin #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:100 =# rand(RGB, (10, 20)) end end #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:184 =# t = testimg() #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:185 =# quantize(t) == quantize.(t) endªtext/plain¤type¦struct¬prefix_short®AutoTestAction¨objectid°d401fd08ec056583Ù!application/vnd.pluto.tree+object’’…¦prefix®AutoTestAction¨elements“’¤name’®"2.5 - invert"ªtext/plain’¬points_value’¡5ªtext/plain’¤test’ÚQquote #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:190 =# c = rand(RGB) #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:191 =# invert(c) == RGB(1 - c.r, 1 - c.g, 1 - c.b) endªtext/plain¤type¦struct¬prefix_short®AutoTestAction¨objectid°41f8eafef30919a3Ù!application/vnd.pluto.tree+object’’…¦prefix®AutoTestAction¨elements“’¤name’¿"2.6 - noisify::Number - noise"ªtext/plain’¬points_value’£2.5ªtext/plain’¤test’Úquote #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:198 =# let #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:199 =# N = 10000 #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:202 =# x = [noisify(0.5, 0.25) for _ = 1:N] #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:203 =# sample_mean = sum(x) / N #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:205 =# sample_var = sum((x .- sample_mean) .^ 2) / N #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:207 =# abs(sample_mean - 0.5) < 0.01 && abs(sample_var - 1 / 48) < 0.01 end endªtext/plain¤type¦struct¬prefix_short®AutoTestAction¨objectid°83da5563cb0e0bdeÙ!application/vnd.pluto.tree+object’’…¦prefix®AutoTestAction¨elements“’¤name’¿"2.6 - noisify::Number - clamp"ªtext/plain’¬points_value’£2.5ªtext/plain’¤test’Úœquote #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:214 =# let #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:215 =# N = 10000 #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:218 =# x = [noisify(0.5, 10) for _ = 1:N] #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:220 =# 0.0 <= minimum(x) < maximum(x) <= 1.0 end endªtext/plain¤type¦struct¬prefix_short®AutoTestAction¨objectid°cb956f9206ec62a2Ù!application/vnd.pluto.tree+object’’…¦prefix®AutoTestAction¨elements“’¤name’¶"2.6 - noisify::Color"ªtext/plain’¬points_value’£2.5ªtext/plain’¤test’Ú:quote #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:226 =# c = rand(RGB) #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:227 =# noisify(c, 0.1) != c endªtext/plain¤type¦struct¬prefix_short®AutoTestAction¨objectid°ce1add80c52cd5c5Ù!application/vnd.pluto.tree+object’’…¦prefix®AutoTestAction¨elements“’¤name’¶"2.6 - noisify::Image"ªtext/plain’¬points_value’£2.5ªtext/plain’¤test’Ú/Àquote #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:231 =# begin #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:4 =# function solution_extend(v, i) #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:4 =# #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:5 =# if i < 1 #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:6 =# v[1] elseif #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:7 =# i > length(v) #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:8 =# v[end] else #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:10 =# v[i] end end #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:14 =# function solution_blur_1D(v, l) #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:14 =# #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:15 =# return map(eachindex(v)) do i #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:16 =# mean([extend(v, i + j) for j = -l:l]) end end #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:20 =# function solution_convolve_vector(v, k) #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:20 =# #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:21 =# l = (length(k) - 1) Ã· 2 #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:22 =# return map(eachindex(v)) do i #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:23 =# sum([extend(v, i - j) * k[j + 1 + l] for j = -l:l]) end end #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:27 =# function solution_pascal(n) #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:27 =# #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:28 =# if n <= 1 #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:29 =# [1.0] else #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:31 =# prev = pascal(n - 1) #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:32 =# 0.5 * ([prev..., 0] .+ [0, prev...]) end end #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:36 =# function solution_gaussian_kernel(n) #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:36 =# #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:37 =# solution_pascal(2n + 1) end #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:40 =# function solution_extend_mat(M::AbstractMatrix, i, j) #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:40 =# #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:41 =# if i < 1 #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:42 =# solution_extend_mat(M, 1, j) elseif #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:43 =# i > size(M, 1) #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:44 =# solution_extend_mat(M, size(M, 1), j) else #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:46 =# if j < 1 #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:47 =# solution_extend_mat(M, i, 1) elseif #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:48 =# j > size(M, 2) #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:49 =# solution_extend_mat(M, i, size(M, 2)) else #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:51 =# M[i, j] end end end #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:56 =# function solution_convolve_image(M::AbstractMatrix, K::AbstractMatrix) #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:56 =# #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:57 =# l = (size(K, 1) - 1) Ã· 2 #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:59 =# map(CartesianIndices(M)) do i #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:60 =# sum(CartesianIndices(K)) do a #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:62 =# offset = a - CartesianIndex(-l - 1, -l - 1) #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:64 =# extend_mat(M, (i - offset).I...) * K[a] end end end #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:69 =# function solution_convolve_image_inverted(M::AbstractMatrix, K::AbstractMatrix) #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:69 =# #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:70 =# l = (size(K, 1) - 1) Ã· 2 #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:72 =# map(CartesianIndices(M)) do i #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:73 =# sum(CartesianIndices(K)) do a #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:75 =# offset = a - CartesianIndex(-l - 1, -l - 1) #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:77 =# extend_mat(M, (i + offset).I...) * K[a] end end end #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:83 =# function solution_with_gaussian_blur(image; sigma = 3, l = 5) #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:83 =# #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:84 =# gauss(x, y; sigma = 3) = begin #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:84 =# (1 / (2 * pi * sigma ^ 2)) * exp(-((x ^ 2 + y ^ 2)) / (2 * sigma ^ 2)) end #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:85 =# K_gauss = [gauss(xy...) for xy = Iterators.product(-l:l, -l:l)] #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:86 =# convolve_image(image, K_gauss ./ sum(K_gauss)) end #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:89 =# function solution_sobel_edge_detect(image) #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:89 =# #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:90 =# K_sobol = [1 0 -1; 2 0 -2; 1 0 -1] #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:95 =# x = solution_convolve_image(image, K_sobol) #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:96 =# y = solution_convolve_image(image, K_sobol') #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:97 =# return x .* x .+ y .* y end #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:100 =# testimg() = begin #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:100 =# rand(RGB, (10, 20)) end end #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:232 =# t = testimg() #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:233 =# noisify(t, 0.1) != t endªtext/plain¤type¦struct¬prefix_short®AutoTestAction¨objectid°67389e4da133bceeÙ!application/vnd.pluto.tree+object’’…¦prefix®AutoTestAction¨elements“’¤name’®"3.2 - extend"ªtext/plain’¬points_value’¢10ªtext/plain’¤test’Ú/>quote #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:241 =# begin #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:4 =# function solution_extend(v, i) #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:4 =# #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:5 =# if i < 1 #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:6 =# v[1] elseif #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:7 =# i > length(v) #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:8 =# v[end] else #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:10 =# v[i] end end #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:14 =# function solution_blur_1D(v, l) #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:14 =# #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:15 =# return map(eachindex(v)) do i #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:16 =# mean([extend(v, i + j) for j = -l:l]) end end #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:20 =# function solution_convolve_vector(v, k) #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:20 =# #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:21 =# l = (length(k) - 1) Ã· 2 #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:22 =# return map(eachindex(v)) do i #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:23 =# sum([extend(v, i - j) * k[j + 1 + l] for j = -l:l]) end end #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:27 =# function solution_pascal(n) #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:27 =# #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:28 =# if n <= 1 #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:29 =# [1.0] else #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:31 =# prev = pascal(n - 1) #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:32 =# 0.5 * ([prev..., 0] .+ [0, prev...]) end end #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:36 =# function solution_gaussian_kernel(n) #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:36 =# #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:37 =# solution_pascal(2n + 1) end #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:40 =# function solution_extend_mat(M::AbstractMatrix, i, j) #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:40 =# #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:41 =# if i < 1 #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:42 =# solution_extend_mat(M, 1, j) elseif #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:43 =# i > size(M, 1) #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:44 =# solution_extend_mat(M, size(M, 1), j) else #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:46 =# if j < 1 #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:47 =# solution_extend_mat(M, i, 1) elseif #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:48 =# j > size(M, 2) #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:49 =# solution_extend_mat(M, i, size(M, 2)) else #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:51 =# M[i, j] end end end #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:56 =# function solution_convolve_image(M::AbstractMatrix, K::AbstractMatrix) #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:56 =# #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:57 =# l = (size(K, 1) - 1) Ã· 2 #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:59 =# map(CartesianIndices(M)) do i #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:60 =# sum(CartesianIndices(K)) do a #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:62 =# offset = a - CartesianIndex(-l - 1, -l - 1) #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:64 =# extend_mat(M, (i - offset).I...) * K[a] end end end #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:69 =# function solution_convolve_image_inverted(M::AbstractMatrix, K::AbstractMatrix) #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:69 =# #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:70 =# l = (size(K, 1) - 1) Ã· 2 #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:72 =# map(CartesianIndices(M)) do i #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:73 =# sum(CartesianIndices(K)) do a #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:75 =# offset = a - CartesianIndex(-l - 1, -l - 1) #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:77 =# extend_mat(M, (i + offset).I...) * K[a] end end end #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:83 =# function solution_with_gaussian_blur(image; sigma = 3, l = 5) #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:83 =# #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:84 =# gauss(x, y; sigma = 3) = begin #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:84 =# (1 / (2 * pi * sigma ^ 2)) * exp(-((x ^ 2 + y ^ 2)) / (2 * sigma ^ 2)) end #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:85 =# K_gauss = [gauss(xy...) for xy = Iterators.product(-l:l, -l:l)] #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:86 =# convolve_image(image, K_gauss ./ sum(K_gauss)) end #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:89 =# function solution_sobel_edge_detect(image) #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:89 =# #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:90 =# K_sobol = [1 0 -1; 2 0 -2; 1 0 -1] #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:95 =# x = solution_convolve_image(image, K_sobol) #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:96 =# y = solution_convolve_image(image, K_sobol') #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:97 =# return x .* x .+ y .* y end #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:100 =# testimg() = begin #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:100 =# rand(RGB, (10, 20)) end end #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:242 =# extend(v, -5) == solution_extend(v, -5) endªtext/plain¤type¦struct¬prefix_short®AutoTestAction¨objectid°dcd7d9121997efe4Ù!application/vnd.pluto.tree+object’’…¦prefix®AutoTestAction¨elements“’¤name’¯"3.3 - blur_1D"ªtext/plain’¬points_value’¡5ªtext/plain’¤test’Ú/>quote #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:247 =# begin #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:4 =# function solution_extend(v, i) #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:4 =# #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:5 =# if i < 1 #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:6 =# v[1] elseif #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:7 =# i > length(v) #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:8 =# v[end] else #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:10 =# v[i] end end #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:14 =# function solution_blur_1D(v, l) #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:14 =# #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:15 =# return map(eachindex(v)) do i #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:16 =# mean([extend(v, i + j) for j = -l:l]) end end #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:20 =# function solution_convolve_vector(v, k) #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:20 =# #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:21 =# l = (length(k) - 1) Ã· 2 #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:22 =# return map(eachindex(v)) do i #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:23 =# sum([extend(v, i - j) * k[j + 1 + l] for j = -l:l]) end end #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:27 =# function solution_pascal(n) #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:27 =# #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:28 =# if n <= 1 #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:29 =# [1.0] else #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:31 =# prev = pascal(n - 1) #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:32 =# 0.5 * ([prev..., 0] .+ [0, prev...]) end end #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:36 =# function solution_gaussian_kernel(n) #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:36 =# #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:37 =# solution_pascal(2n + 1) end #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:40 =# function solution_extend_mat(M::AbstractMatrix, i, j) #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:40 =# #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:41 =# if i < 1 #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:42 =# solution_extend_mat(M, 1, j) elseif #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:43 =# i > size(M, 1) #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:44 =# solution_extend_mat(M, size(M, 1), j) else #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:46 =# if j < 1 #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:47 =# solution_extend_mat(M, i, 1) elseif #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:48 =# j > size(M, 2) #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:49 =# solution_extend_mat(M, i, size(M, 2)) else #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:51 =# M[i, j] end end end #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:56 =# function solution_convolve_image(M::AbstractMatrix, K::AbstractMatrix) #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:56 =# #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:57 =# l = (size(K, 1) - 1) Ã· 2 #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:59 =# map(CartesianIndices(M)) do i #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:60 =# sum(CartesianIndices(K)) do a #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:62 =# offset = a - CartesianIndex(-l - 1, -l - 1) #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:64 =# extend_mat(M, (i - offset).I...) * K[a] end end end #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:69 =# function solution_convolve_image_inverted(M::AbstractMatrix, K::AbstractMatrix) #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:69 =# #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:70 =# l = (size(K, 1) - 1) Ã· 2 #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:72 =# map(CartesianIndices(M)) do i #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:73 =# sum(CartesianIndices(K)) do a #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:75 =# offset = a - CartesianIndex(-l - 1, -l - 1) #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:77 =# extend_mat(M, (i + offset).I...) * K[a] end end end #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:83 =# function solution_with_gaussian_blur(image; sigma = 3, l = 5) #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:83 =# #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:84 =# gauss(x, y; sigma = 3) = begin #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:84 =# (1 / (2 * pi * sigma ^ 2)) * exp(-((x ^ 2 + y ^ 2)) / (2 * sigma ^ 2)) end #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:85 =# K_gauss = [gauss(xy...) for xy = Iterators.product(-l:l, -l:l)] #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:86 =# convolve_image(image, K_gauss ./ sum(K_gauss)) end #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:89 =# function solution_sobel_edge_detect(image) #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:89 =# #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:90 =# K_sobol = [1 0 -1; 2 0 -2; 1 0 -1] #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:95 =# x = solution_convolve_image(image, K_sobol) #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:96 =# y = solution_convolve_image(image, K_sobol') #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:97 =# return x .* x .+ y .* y end #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:100 =# testimg() = begin #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:100 =# rand(RGB, (10, 20)) end end #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:248 =# blur_1D(v, 2) == solution_blur_1D(v, 2) endªtext/plain¤type¦struct¬prefix_short®AutoTestAction¨objectid°d02d76e3ed762566Ù!application/vnd.pluto.tree+object’’…¦prefix®AutoTestAction¨elements“’¤name’³"3.5 - convolution"ªtext/plain’¬points_value’¡5ªtext/plain’¤test’Ú/Žquote #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:256 =# begin #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:4 =# function solution_extend(v, i) #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:4 =# #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:5 =# if i < 1 #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:6 =# v[1] elseif #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:7 =# i > length(v) #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:8 =# v[end] else #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:10 =# v[i] end end #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:14 =# function solution_blur_1D(v, l) #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:14 =# #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:15 =# return map(eachindex(v)) do i #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:16 =# mean([extend(v, i + j) for j = -l:l]) end end #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:20 =# function solution_convolve_vector(v, k) #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:20 =# #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:21 =# l = (length(k) - 1) Ã· 2 #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:22 =# return map(eachindex(v)) do i #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:23 =# sum([extend(v, i - j) * k[j + 1 + l] for j = -l:l]) end end #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:27 =# function solution_pascal(n) #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:27 =# #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:28 =# if n <= 1 #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:29 =# [1.0] else #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:31 =# prev = pascal(n - 1) #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:32 =# 0.5 * ([prev..., 0] .+ [0, prev...]) end end #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:36 =# function solution_gaussian_kernel(n) #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:36 =# #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:37 =# solution_pascal(2n + 1) end #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:40 =# function solution_extend_mat(M::AbstractMatrix, i, j) #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:40 =# #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:41 =# if i < 1 #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:42 =# solution_extend_mat(M, 1, j) elseif #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:43 =# i > size(M, 1) #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:44 =# solution_extend_mat(M, size(M, 1), j) else #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:46 =# if j < 1 #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:47 =# solution_extend_mat(M, i, 1) elseif #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:48 =# j > size(M, 2) #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:49 =# solution_extend_mat(M, i, size(M, 2)) else #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:51 =# M[i, j] end end end #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:56 =# function solution_convolve_image(M::AbstractMatrix, K::AbstractMatrix) #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:56 =# #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:57 =# l = (size(K, 1) - 1) Ã· 2 #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:59 =# map(CartesianIndices(M)) do i #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:60 =# sum(CartesianIndices(K)) do a #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:62 =# offset = a - CartesianIndex(-l - 1, -l - 1) #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:64 =# extend_mat(M, (i - offset).I...) * K[a] end end end #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:69 =# function solution_convolve_image_inverted(M::AbstractMatrix, K::AbstractMatrix) #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:69 =# #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:70 =# l = (size(K, 1) - 1) Ã· 2 #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:72 =# map(CartesianIndices(M)) do i #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:73 =# sum(CartesianIndices(K)) do a #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:75 =# offset = a - CartesianIndex(-l - 1, -l - 1) #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:77 =# extend_mat(M, (i + offset).I...) * K[a] end end end #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:83 =# function solution_with_gaussian_blur(image; sigma = 3, l = 5) #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:83 =# #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:84 =# gauss(x, y; sigma = 3) = begin #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:84 =# (1 / (2 * pi * sigma ^ 2)) * exp(-((x ^ 2 + y ^ 2)) / (2 * sigma ^ 2)) end #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:85 =# K_gauss = [gauss(xy...) for xy = Iterators.product(-l:l, -l:l)] #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:86 =# convolve_image(image, K_gauss ./ sum(K_gauss)) end #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:89 =# function solution_sobel_edge_detect(image) #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:89 =# #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:90 =# K_sobol = [1 0 -1; 2 0 -2; 1 0 -1] #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:95 =# x = solution_convolve_image(image, K_sobol) #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:96 =# y = solution_convolve_image(image, K_sobol') #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:97 =# return x .* x .+ y .* y end #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:100 =# testimg() = begin #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:100 =# rand(RGB, (10, 20)) end end #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:257 =# convolve_vector([1, 10, 100, 1000, 10000], [0, 1, 0]) == solution_convolve_vector([1, 10, 100, 1000, 10000], [0, 1, 0]) endªtext/plain¤type¦struct¬prefix_short®AutoTestAction¨objectid°a197506a3e04e01eÙ!application/vnd.pluto.tree+object’’…¦prefix®AutoTestAction¨elements“’¤name’Ù""3.6 - gaussian_kernel - centered"ªtext/plain’¬points_value’£2.5ªtext/plain’¤test’Úçquote #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:262 =# K = gaussian_kernel(9) #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:264 =# center = length(K) Ã· 2 #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:266 =# K[1] < K[center] > K[end] endªtext/plain¤type¦struct¬prefix_short®AutoTestAction¨objectid°4ec4e832fcbff6a1Ù!application/vnd.pluto.tree+object’’…¦prefix®AutoTestAction¨elements“’¤name’Ù$"3.6 - gaussian_kernel - normalized"ªtext/plain’¬points_value’£2.5ªtext/plain’¤test’ÚAquote #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:271 =# K = gaussian_kernel(9) #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:272 =# 0.9 < sum(K) < 1.1 endªtext/plain¤type¦struct¬prefix_short®AutoTestAction¨objectid°75911f181df4f6d9Ù!application/vnd.pluto.tree+object’’…¦prefix®AutoTestAction¨elements“’¤name’²"4.1 - extend mat"ªtext/plain’¬points_value’¢10ªtext/plain’¤test’Ú0quote #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:277 =# begin #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:4 =# function solution_extend(v, i) #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:4 =# #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:5 =# if i < 1 #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:6 =# v[1] elseif #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:7 =# i > length(v) #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:8 =# v[end] else #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:10 =# v[i] end end #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:14 =# function solution_blur_1D(v, l) #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:14 =# #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:15 =# return map(eachindex(v)) do i #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:16 =# mean([extend(v, i + j) for j = -l:l]) end end #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:20 =# function solution_convolve_vector(v, k) #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:20 =# #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:21 =# l = (length(k) - 1) Ã· 2 #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:22 =# return map(eachindex(v)) do i #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:23 =# sum([extend(v, i - j) * k[j + 1 + l] for j = -l:l]) end end #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:27 =# function solution_pascal(n) #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:27 =# #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:28 =# if n <= 1 #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:29 =# [1.0] else #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:31 =# prev = pascal(n - 1) #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:32 =# 0.5 * ([prev..., 0] .+ [0, prev...]) end end #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:36 =# function solution_gaussian_kernel(n) #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:36 =# #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:37 =# solution_pascal(2n + 1) end #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:40 =# function solution_extend_mat(M::AbstractMatrix, i, j) #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:40 =# #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:41 =# if i < 1 #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:42 =# solution_extend_mat(M, 1, j) elseif #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:43 =# i > size(M, 1) #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:44 =# solution_extend_mat(M, size(M, 1), j) else #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:46 =# if j < 1 #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:47 =# solution_extend_mat(M, i, 1) elseif #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:48 =# j > size(M, 2) #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:49 =# solution_extend_mat(M, i, size(M, 2)) else #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:51 =# M[i, j] end end end #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:56 =# function solution_convolve_image(M::AbstractMatrix, K::AbstractMatrix) #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:56 =# #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:57 =# l = (size(K, 1) - 1) Ã· 2 #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:59 =# map(CartesianIndices(M)) do i #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:60 =# sum(CartesianIndices(K)) do a #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:62 =# offset = a - CartesianIndex(-l - 1, -l - 1) #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:64 =# extend_mat(M, (i - offset).I...) * K[a] end end end #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:69 =# function solution_convolve_image_inverted(M::AbstractMatrix, K::AbstractMatrix) #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:69 =# #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:70 =# l = (size(K, 1) - 1) Ã· 2 #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:72 =# map(CartesianIndices(M)) do i #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:73 =# sum(CartesianIndices(K)) do a #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:75 =# offset = a - CartesianIndex(-l - 1, -l - 1) #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:77 =# extend_mat(M, (i + offset).I...) * K[a] end end end #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:83 =# function solution_with_gaussian_blur(image; sigma = 3, l = 5) #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:83 =# #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:84 =# gauss(x, y; sigma = 3) = begin #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:84 =# (1 / (2 * pi * sigma ^ 2)) * exp(-((x ^ 2 + y ^ 2)) / (2 * sigma ^ 2)) end #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:85 =# K_gauss = [gauss(xy...) for xy = Iterators.product(-l:l, -l:l)] #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:86 =# convolve_image(image, K_gauss ./ sum(K_gauss)) end #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:89 =# function solution_sobel_edge_detect(image) #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:89 =# #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:90 =# K_sobol = [1 0 -1; 2 0 -2; 1 0 -1] #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:95 =# x = solution_convolve_image(image, K_sobol) #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:96 =# y = solution_convolve_image(image, K_sobol') #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:97 =# return x .* x .+ y .* y end #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:100 =# testimg() = begin #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:100 =# rand(RGB, (10, 20)) end end #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:278 =# M = rand(Float64, (3, 3)) #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:279 =# all([extend_mat(M, i, j) â‰ˆ solution_extend_mat(M, i, j) for i = [-5, 4, 2], j = [-1, 1, 0, 10]]) endªtext/plain¤type¦struct¬prefix_short®AutoTestAction¨objectid°5f4df90ebc4c8abdÙ!application/vnd.pluto.tree+object’’…¦prefix®AutoTestAction¨elements“’¤name’Ù%"4.3 - with_gaussian_blur - no error"ªtext/plain’¬points_value’¡5ªtext/plain’¤test’Ú3ßquote #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:304 =# begin #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:4 =# function solution_extend(v, i) #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:4 =# #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:5 =# if i < 1 #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:6 =# v[1] elseif #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:7 =# i > length(v) #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:8 =# v[end] else #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:10 =# v[i] end end #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:14 =# function solution_blur_1D(v, l) #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:14 =# #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:15 =# return map(eachindex(v)) do i #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:16 =# mean([extend(v, i + j) for j = -l:l]) end end #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:20 =# function solution_convolve_vector(v, k) #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:20 =# #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:21 =# l = (length(k) - 1) Ã· 2 #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:22 =# return map(eachindex(v)) do i #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:23 =# sum([extend(v, i - j) * k[j + 1 + l] for j = -l:l]) end end #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:27 =# function solution_pascal(n) #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:27 =# #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:28 =# if n <= 1 #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:29 =# [1.0] else #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:31 =# prev = pascal(n - 1) #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:32 =# 0.5 * ([prev..., 0] .+ [0, prev...]) end end #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:36 =# function solution_gaussian_kernel(n) #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:36 =# #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:37 =# solution_pascal(2n + 1) end #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:40 =# function solution_extend_mat(M::AbstractMatrix, i, j) #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:40 =# #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:41 =# if i < 1 #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:42 =# solution_extend_mat(M, 1, j) elseif #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:43 =# i > size(M, 1) #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:44 =# solution_extend_mat(M, size(M, 1), j) else #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:46 =# if j < 1 #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:47 =# solution_extend_mat(M, i, 1) elseif #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:48 =# j > size(M, 2) #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:49 =# solution_extend_mat(M, i, size(M, 2)) else #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:51 =# M[i, j] end end end #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:56 =# function solution_convolve_image(M::AbstractMatrix, K::AbstractMatrix) #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:56 =# #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:57 =# l = (size(K, 1) - 1) Ã· 2 #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:59 =# map(CartesianIndices(M)) do i #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:60 =# sum(CartesianIndices(K)) do a #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:62 =# offset = a - CartesianIndex(-l - 1, -l - 1) #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:64 =# extend_mat(M, (i - offset).I...) * K[a] end end end #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:69 =# function solution_convolve_image_inverted(M::AbstractMatrix, K::AbstractMatrix) #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:69 =# #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:70 =# l = (size(K, 1) - 1) Ã· 2 #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:72 =# map(CartesianIndices(M)) do i #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:73 =# sum(CartesianIndices(K)) do a #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:75 =# offset = a - CartesianIndex(-l - 1, -l - 1) #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:77 =# extend_mat(M, (i + offset).I...) * K[a] end end end #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:83 =# function solution_with_gaussian_blur(image; sigma = 3, l = 5) #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:83 =# #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:84 =# gauss(x, y; sigma = 3) = begin #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:84 =# (1 / (2 * pi * sigma ^ 2)) * exp(-((x ^ 2 + y ^ 2)) / (2 * sigma ^ 2)) end #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:85 =# K_gauss = [gauss(xy...) for xy = Iterators.product(-l:l, -l:l)] #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:86 =# convolve_image(image, K_gauss ./ sum(K_gauss)) end #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:89 =# function solution_sobel_edge_detect(image) #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:89 =# #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:90 =# K_sobol = [1 0 -1; 2 0 -2; 1 0 -1] #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:95 =# x = solution_convolve_image(image, K_sobol) #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:96 =# y = solution_convolve_image(image, K_sobol') #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:97 =# return x .* x .+ y .* y end #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:100 =# testimg() = begin #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:100 =# rand(RGB, (10, 20)) end end #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:305 =# try #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:306 =# with_gaussian_blur(rand(Gray, (20, 10))) isa Array catch #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:308 =# false end || (try #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:310 =# with_gaussian_blur(rand(Float64, (20, 10))) isa Array catch #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:312 =# false end || try #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:314 =# with_gaussian_blur(rand(RGB, (20, 10))) isa Array catch #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:316 =# false end) endªtext/plain¤type¦struct¬prefix_short®AutoTestAction¨objectid°b83be170be7abe18Ù!application/vnd.pluto.tree+object’’…¦prefix®AutoTestAction¨elements“’¤name’Ù$"4.4 - sobel_edge_detect - no error"ªtext/plain’¬points_value’¡5ªtext/plain’¤test’Ú3ëquote #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:322 =# begin #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:4 =# function solution_extend(v, i) #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:4 =# #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:5 =# if i < 1 #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:6 =# v[1] elseif #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:7 =# i > length(v) #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:8 =# v[end] else #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:10 =# v[i] end end #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:14 =# function solution_blur_1D(v, l) #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:14 =# #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:15 =# return map(eachindex(v)) do i #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:16 =# mean([extend(v, i + j) for j = -l:l]) end end #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:20 =# function solution_convolve_vector(v, k) #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:20 =# #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:21 =# l = (length(k) - 1) Ã· 2 #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:22 =# return map(eachindex(v)) do i #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:23 =# sum([extend(v, i - j) * k[j + 1 + l] for j = -l:l]) end end #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:27 =# function solution_pascal(n) #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:27 =# #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:28 =# if n <= 1 #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:29 =# [1.0] else #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:31 =# prev = pascal(n - 1) #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:32 =# 0.5 * ([prev..., 0] .+ [0, prev...]) end end #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:36 =# function solution_gaussian_kernel(n) #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:36 =# #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:37 =# solution_pascal(2n + 1) end #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:40 =# function solution_extend_mat(M::AbstractMatrix, i, j) #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:40 =# #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:41 =# if i < 1 #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:42 =# solution_extend_mat(M, 1, j) elseif #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:43 =# i > size(M, 1) #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:44 =# solution_extend_mat(M, size(M, 1), j) else #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:46 =# if j < 1 #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:47 =# solution_extend_mat(M, i, 1) elseif #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:48 =# j > size(M, 2) #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:49 =# solution_extend_mat(M, i, size(M, 2)) else #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:51 =# M[i, j] end end end #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:56 =# function solution_convolve_image(M::AbstractMatrix, K::AbstractMatrix) #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:56 =# #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:57 =# l = (size(K, 1) - 1) Ã· 2 #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:59 =# map(CartesianIndices(M)) do i #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:60 =# sum(CartesianIndices(K)) do a #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:62 =# offset = a - CartesianIndex(-l - 1, -l - 1) #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:64 =# extend_mat(M, (i - offset).I...) * K[a] end end end #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:69 =# function solution_convolve_image_inverted(M::AbstractMatrix, K::AbstractMatrix) #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:69 =# #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:70 =# l = (size(K, 1) - 1) Ã· 2 #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:72 =# map(CartesianIndices(M)) do i #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:73 =# sum(CartesianIndices(K)) do a #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:75 =# offset = a - CartesianIndex(-l - 1, -l - 1) #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:77 =# extend_mat(M, (i + offset).I...) * K[a] end end end #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:83 =# function solution_with_gaussian_blur(image; sigma = 3, l = 5) #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:83 =# #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:84 =# gauss(x, y; sigma = 3) = begin #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:84 =# (1 / (2 * pi * sigma ^ 2)) * exp(-((x ^ 2 + y ^ 2)) / (2 * sigma ^ 2)) end #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:85 =# K_gauss = [gauss(xy...) for xy = Iterators.product(-l:l, -l:l)] #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:86 =# convolve_image(image, K_gauss ./ sum(K_gauss)) end #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:89 =# function solution_sobel_edge_detect(image) #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:89 =# #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:90 =# K_sobol = [1 0 -1; 2 0 -2; 1 0 -1] #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:95 =# x = solution_convolve_image(image, K_sobol) #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:96 =# y = solution_convolve_image(image, K_sobol') #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:97 =# return x .* x .+ y .* y end #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:100 =# testimg() = begin #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:100 =# rand(RGB, (10, 20)) end end #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:323 =# try #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:324 =# with_sobel_edge_detect(rand(Gray, (20, 10))) isa Array catch #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:326 =# false end || (try #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:328 =# with_sobel_edge_detect(rand(Float64, (20, 10))) isa Array catch #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:330 =# false end || try #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:332 =# with_sobel_edge_detect(rand(RGB, (20, 10))) isa Array catch #= /home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#eaa49370-e6da-11ea-21d9-ddf11a7df51f:334 =# false end) endªtext/plain¤type¦struct¬prefix_short®AutoTestAction¨objectid°8749ff750104fa58Ù!application/vnd.pluto.tree+object¤type¥Array¬prefix_short ¨objectid°f1da31965ac4c50c¤mimeÙ!application/vnd.pluto.tree+object¬rootassignee§actions²last_run_timestampËAÚýÓò°persist_js_stateÂ·has_pluto_hook_featuresÂ§cell_idÙ$eaa49370-e6da-11ea-21d9-ddf11a7df51f¹depends_on_disabled_cellsÂ§runtimeÎêêêµpublished_object_keys¸depends_on_skipped_cellsÂ§erroredÂÙ$490cc11a-00cb-11eb-24bc-2fb026c3094eŠ¦queuedÂ¤logs§runningÂ¦output†¤bodyÙ&all (generic function with 11 methods)¤mimeªtext/plain¬rootassigneeÀ²last_run_timestampËAÚýtË’°persist_js_stateÂ·has_pluto_hook_featuresÂ§cell_idÙ$490cc11a-00cb-11eb-24bc-2fb026c3094e¹depends_on_disabled_cellsÂ§runtimeÍ#Cµpublished_object_keys¸depends_on_skipped_cellsÂ§erroredÂÙ$31111cbe-e6d3-11ea-0130-a98e45b82f2bŠ¦queuedÂ¤logs§runningÂ¦output†¤bodyÙ+do_action (generic function with 2 methods)¤mimeªtext/plain¬rootassigneeÀ²last_run_timestampËAÚýçOÛ°persist_js_stateÂ·has_pluto_hook_featuresÂ§cell_idÙ$31111cbe-e6d3-11ea-0130-a98e45b82f2b¹depends_on_disabled_cellsÂ§runtimeÎ‹³µpublished_object_keys¸depends_on_skipped_cellsÂ§erroredÂÙ$f131ee3a-f68a-11ea-3d6c-d34439133a63Š¦queuedÂ¤logs§runningÂ¦output†¤body‚£msgÙ3UndefVarError: inspected_manual_results not definedªstacktrace‘Œªcall_short¯top-level scope§inlinedÂ£urlÀ¤pathÙt/home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#f131ee3a-f68a-11ea-3d6c-d34439133a63®source_packageÀ¤call¯top-level scopeªlinfo_typeCore.CodeInfo¤line¤fileÙ2updated.jl#==#f131ee3a-f68a-11ea-3d6c-d34439133a63¤func¯top-level scopeparent_moduleÀ¦from_cÂ¤mimeÙ'application/vnd.pluto.stacktrace+object¬rootassignee»updated_manual_results_dict²last_run_timestampËAÚýÇJñ°persist_js_stateÂ·has_pluto_hook_featuresÂ§cell_idÙ$f131ee3a-f68a-11ea-3d6c-d34439133a63¹depends_on_disabled_cellsÂ§runtimeÀµpublished_object_keys¸depends_on_skipped_cellsÂ§erroredÃÙ$64c26a50-e6df-11ea-2762-57186f445501Š¦queuedÂ¤logs§runningÂ¦output†¤body‚£msgÙ3UndefVarError: inspected_notebook_index not definedªstacktrace‘Œªcall_short¯top-level scope§inlinedÂ£urlÀ¤pathÙt/home/runner/work/disorganised-mess/disorganised-mess/autograding/updated.jl#==#64c26a50-e6df-11ea-2762-57186f445501®source_packageÀ¤call¯top-level scopeªlinfo_typeCore.CodeInfo¤line¤fileÙ2updated.jl#==#64c26a50-e6df-11ea-2762-57186f445501¤func¯top-level scopeparent_moduleÀ¦from_cÂ¤mimeÙ'application/vnd.pluto.stacktrace+object¬rootassignee²inspected_notebook²last_run_timestampËAÚýVxu°persist_js_stateÂ·has_pluto_hook_featuresÂ§cell_idÙ$64c26a50-e6df-11ea-2762-57186f445501¹depends_on_disabled_cellsÂ§runtimeÀµpublished_object_keys¸depends_on_skipped_cellsÂ§erroredÃÙ$33e66768-e6d9-11ea-1aba-256b4c9998b8Š¦queuedÂ¤logs§runningÂ¦output†¤body…¦prefix£Any¨elements¤type¥Array¬prefix_short ¨objectid°66b36b3221340971¤mimeÙ!application/vnd.pluto.tree+object¬rootassignee±autograde_results²last_run_timestampËAÚýêIí°persist_js_stateÂ·has_pluto_hook_featuresÂ§cell_idÙ$33e66768-e6d9-11ea-1aba-256b4c9998b8¹depends_on_disabled_cellsÂ§runtimeÎœG¯µpublished_object_keys¸depends_on_skipped_cellsÂ§erroredÂÙ$8d1aaee8-e6de-11ea-2c2c-4d2ba138d5ceŠ¦queuedÂ¤logs§runningÂ¦output†¤bodyÙ.

Appendix

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Step 3: select notebook

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Editable view of selected homework

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Currently stored grades for this notebook:

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[32m[1m Updating[22m[39m `/tmp/jl_p35YZb/Project.toml` [90m [336ed68f] [39m[92m+ CSV v0.10.15[39m [90m [a93c6f00] [39m[92m+ DataFrames v1.7.0[39m [90m [c3e4b0f8] [39m[92m+ Pluto v0.19.47[39m [90m [7f904dfe] [39m[92m+ PlutoUI v0.7.64[39m [90m [8ba89e20] [39m[92m+ Distributed[39m [90m [cf7118a7] [39m[92m+ UUIDs[39m [32m[1m Updating[22m[39m `/tmp/jl_p35YZb/Manifest.toml` [90m [6e696c72] [39m[92m+ AbstractPlutoDingetjes v1.3.2[39m [90m [d1d4a3ce] [39m[92m+ BitFlags v0.1.9[39m [90m [336ed68f] [39m[92m+ CSV v0.10.15[39m [90m [944b1d66] [39m[92m+ CodecZlib v0.7.8[39m [90m [3da002f7] [39m[92m+ ColorTypes v0.12.1[39m [90m [34da2185] [39m[92m+ Compat v4.16.0[39m [90m [f0e56b4a] [39m[92m+ ConcurrentUtilities v2.5.0[39m [90m [5218b696] [39m[92m+ Configurations v0.17.6[39m [90m [a8cc5b0e] [39m[92m+ Crayons v4.1.1[39m [90m [9a962f9c] [39m[92m+ DataAPI v1.16.0[39m [90m [a93c6f00] [39m[92m+ DataFrames v1.7.0[39m [90m [864edb3b] [39m[92m+ DataStructures v0.18.22[39m [90m [e2d170a0] [39m[92m+ 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[39m[92m+ MIMEs v0.1.4[39m [90m [36869731] [39m[92m+ Malt v1.1.2[39m [90m [739be429] [39m[92m+ MbedTLS v1.1.9[39m [90m [e1d29d7a] [39m[92m+ Missings v1.2.0[39m [90m [99f44e22] [39m[92m+ MsgPack v1.2.1[39m [90m [4d8831e6] [39m[92m+ OpenSSL v1.5.0[39m [90m [bac558e1] [39m[92m+ OrderedCollections v1.8.1[39m [90m [69de0a69] [39m[92m+ Parsers v2.8.3[39m [90m [c3e4b0f8] [39m[92m+ Pluto v0.19.47[39m [90m [72656b73] [39m[92m+ PlutoDependencyExplorer v1.0.4[39m [90m [7f904dfe] [39m[92m+ PlutoUI v0.7.64[39m [90m [2dfb63ee] [39m[92m+ PooledArrays v1.4.3[39m [90m [91cefc8d] [39m[92m+ PrecompileSignatures v3.0.3[39m [90m [aea7be01] [39m[92m+ PrecompileTools v1.2.1[39m [90m [21216c6a] [39m[92m+ Preferences v1.4.3[39m [90m [08abe8d2] [39m[92m+ PrettyTables v2.3.2[39m [90m [189a3867] [39m[92m+ Reexport v1.2.2[39m [90m [2792f1a3] [39m[92m+ RegistryInstances v0.1.0[39m [90m [05181044] [39m[92m+ RelocatableFolders v1.0.1[39m [90m [6c6a2e73] [39m[92m+ Scratch v1.2.1[39m [90m [91c51154] [39m[92m+ SentinelArrays v1.4.8[39m [90m [777ac1f9] [39m[92m+ SimpleBufferStream v1.2.0[39m [90m [a2af1166] [39m[92m+ SortingAlgorithms v1.2.1[39m [90m [892a3eda] [39m[92m+ StringManipulation v0.3.4[39m [90m [3783bdb8] [39m[92m+ TableTraits v1.0.1[39m [90m [bd369af6] [39m[92m+ Tables v1.12.1[39m [90m [3bb67fe8] [39m[92m+ TranscodingStreams v0.11.3[39m [90m [410a4b4d] [39m[92m+ Tricks v0.1.10[39m [90m [5c2747f8] [39m[92m+ URIs v1.5.2[39m [90m [ea10d353] [39m[92m+ WeakRefStrings v1.4.2[39m [90m [76eceee3] [39m[92m+ WorkerUtilities v1.6.1[39m [90m [458c3c95] [39m[92m+ OpenSSL_jll v3.5.0+0[39m [90m [0dad84c5] [39m[92m+ ArgTools[39m [90m [56f22d72] [39m[92m+ Artifacts[39m [90m [2a0f44e3] [39m[92m+ Base64[39m [90m [ade2ca70] [39m[92m+ Dates[39m [90m [8ba89e20] [39m[92m+ Distributed[39m [90m [f43a241f] [39m[92m+ Downloads[39m [90m [7b1f6079] [39m[92m+ FileWatching[39m [90m [9fa8497b] [39m[92m+ Future[39m [90m [b77e0a4c] [39m[92m+ InteractiveUtils[39m [90m [b27032c2] [39m[92m+ LibCURL[39m [90m [76f85450] [39m[92m+ LibGit2[39m [90m [8f399da3] [39m[92m+ Libdl[39m [90m [37e2e46d] [39m[92m+ LinearAlgebra[39m [90m [56ddb016] [39m[92m+ Logging[39m [90m [d6f4376e] [39m[92m+ Markdown[39m [90m [a63ad114] [39m[92m+ Mmap[39m [90m [ca575930] [39m[92m+ NetworkOptions[39m [90m [44cfe95a] [39m[92m+ Pkg[39m [90m [de0858da] [39m[92m+ Printf[39m [90m [3fa0cd96] [39m[92m+ REPL[39m [90m [9a3f8284] [39m[92m+ Random[39m [90m [ea8e919c] [39m[92m+ SHA[39m [90m [9e88b42a] [39m[92m+ Serialization[39m [90m [6462fe0b] [39m[92m+ Sockets[39m [90m [2f01184e] [39m[92m+ SparseArrays[39m [90m [10745b16] [39m[92m+ Statistics[39m [90m [fa267f1f] [39m[92m+ TOML[39m [90m [a4e569a6] [39m[92m+ Tar[39m [90m [8dfed614] [39m[92m+ Test[39m [90m [cf7118a7] [39m[92m+ UUIDs[39m [90m [4ec0a83e] [39m[92m+ Unicode[39m [90m [e66e0078] [39m[92m+ CompilerSupportLibraries_jll[39m [90m [deac9b47] [39m[92m+ LibCURL_jll[39m [90m [29816b5a] [39m[92m+ LibSSH2_jll[39m [90m [c8ffd9c3] [39m[92m+ MbedTLS_jll[39m [90m [14a3606d] [39m[92m+ MozillaCACerts_jll[39m [90m [4536629a] [39m[92m+ OpenBLAS_jll[39m [90m [83775a58] [39m[92m+ Zlib_jll[39m [90m [8e850b90] [39m[92m+ libblastrampoline_jll[39m [90m [8e850ede] [39m[92m+ nghttp2_jll[39m [90m [3f19e933] [39m[92m+ p7zip_jll[39m [32m[1mLoading[22m[39m packages... [0m[1mInstantiating...[22m [90m===[39m [0m[1mPrecompiling...[22m [90m===[39m [32m[1m Activating[22m[39m project at `/tmp/jl_p35YZb`§enabledÃ·restart_recommended_msgÀ´restart_required_msgÀbusy_packages¶waiting_for_permissionÂÙ,waiting_for_permission_but_probably_disabledÂ«cell_inputsÞAÙ$836cc4be-e6d7-11ea-2a6e-436c187304da„§cell_idÙ$836cc4be-e6d7-11ea-2a6e-436c187304da¤codeÙ&md"## Step 1: Select submission files"¨metadataƒ©show_logsÃ¨disabledÂ®skip_as_scriptÂ«code_foldedÃÙ$728d1ca8-f865-11ea-1a3e-33cb0a44b9dd„§cell_idÙ$728d1ca8-f865-11ea-1a3e-33cb0a44b9dd¤codeÙzsubmission_files_EXAMPLE = ["/home/fonsi/hw1/submissions/hw1 - fonsi.jl", "/home/fonsi/hw1/submissions/hw1 - template.jl"]¨metadataƒ©show_logsÃ¨disabledÂ®skip_as_scriptÂ«code_foldedÃÙ$65d601a6-fe45-11ea-22c6-270bf7d353bc„§cell_idÙ$65d601a6-fe45-11ea-22c6-270bf7d353bc¤codeÙvbegin import Pluto import UUIDs: UUID import Distributed using PlutoUI using DataFrames import CSV end¨metadataƒ©show_logsÃ¨disabledÂ®skip_as_scriptÂ«code_foldedÂÙ$4e4e78d2-f865-11ea-0c21-fdd76cbf3532„§cell_idÙ$4e4e78d2-f865-11ea-0c21-fdd76cbf3532¤codeÙ¥md"You need to write some code that returns the **absolute paths** to the students' homework submissions. The following code works for me, but probably not for you."¨metadataƒ©show_logsÃ¨disabledÂ®skip_as_scriptÂ«code_foldedÃÙ$5ca8fb02-e6e3-11ea-0ad6-158746799400„§cell_idÙ$5ca8fb02-e6e3-11ea-0ad6-158746799400¤codeÙ·autograde_results_df = DataFrame(map(autograde_results) do results (; map(zip(actions, results)) do (action, result) Symbol(displayname(action)) => result end... ) end)¨metadataƒ©show_logsÃ¨disabledÂ®skip_as_scriptÂ«code_foldedÃÙ$0ae5802c-f856-11ea-11ac-31a3ba67606c„§cell_idÙ$0ae5802c-f856-11ea-11ac-31a3ba67606c¤codeÙ2@bind reset_results Button("Reset manual results")¨metadataƒ©show_logsÃ¨disabledÂ®skip_as_scriptÂ«code_foldedÃÙ$e5d3fa7c-f687-11ea-044f-6b00f0321da8„§cell_idÙ$e5d3fa7c-f687-11ea-044f-6b00f0321da8¤codeÙµbegin struct ManualCheckAction <: GradingAction name points_value::Number rubric end ManualCheckAction(name, points_value) = ManualCheckAction(name, points_valie, name) end¨metadataƒ©show_logsÃ¨disabledÂ®skip_as_scriptÂ«code_foldedÂÙ$633ee8e4-f68a-11ea-271e-433eafd12a62„§cell_idÙ$633ee8e4-f68a-11ea-271e-433eafd12a62¤codeÙ5manual_results_dict = let reset_results Dict() end;¨metadataƒ©show_logsÃ¨disabledÂ®skip_as_scriptÂ«code_foldedÃÙ$1a999dfe-e6e1-11ea-12f4-ed24f03245e0„§cell_idÙ$1a999dfe-e6e1-11ea-12f4-ed24f03245e0¤codeÙCinspected_notebook_index = parse(Int, inspected_notebook_index_str)¨metadataƒ©show_logsÃ¨disabledÂ®skip_as_scriptÂ«code_foldedÃÙ$657f23ce-f687-11ea-13c0-f9959437ddf5„§cell_idÙ$657f23ce-f687-11ea-13c0-f9959437ddf5¤codeÙ#md"## Step 2: manual grade actions"¨metadataƒ©show_logsÃ¨disabledÂ®skip_as_scriptÂ«code_foldedÃÙ$3fb6b20c-e6e1-11ea-35eb-e74598e31daf„§cell_idÙ$3fb6b20c-e6e1-11ea-35eb-e74598e31daf¤code»md"# Part 2: manual review"¨metadataƒ©show_logsÃ¨disabledÂ®skip_as_scriptÂ«code_foldedÃÙ$c7553450-f85b-11ea-1dbd-3d72253a58d6„§cell_idÙ$c7553450-f85b-11ea-1dbd-3d72253a58d6¤codeÙXgraders = map(split(graders_raw, '\n')) do line GradedStudent(split(line, '\t')...) end¨metadataƒ©show_logsÃ¨disabledÂ®skip_as_scriptÂ«code_foldedÂÙ$427f19de-e6d2-11ea-10a8-5d3552224b31„§cell_idÙ$427f19de-e6d2-11ea-10a8-5d3552224b31¤codeÙ“submission_files = let all = readdir("/home/fons/disorganised-mess/autograding/submissions/"; join=true) filter(f -> endswith(f, ".jl"), all) end¨metadataƒ©show_logsÃ¨disabledÂ®skip_as_scriptÂ«code_foldedÂÙ$e9b4c316-f852-11ea-3840-e7b1428df4e9„§cell_idÙ$e9b4c316-f852-11ea-3840-e7b1428df4e9¤codeÙ¿if inspected_manual_results === missing get(manual_results_dict, basename(inspected_notebook.path), md"_Scores for this homework are not yet saved._" ) else inspected_manual_results end¨metadataƒ©show_logsÃ¨disabledÂ®skip_as_scriptÂ«code_foldedÃÙ$a0776916-f865-11ea-387a-bf2e3094a182„§cell_idÙ$a0776916-f865-11ea-387a-bf2e3094a182¤codeÙ6md"I have already written these, you can ignore this."¨metadataƒ©show_logsÃ¨disabledÂ®skip_as_scriptÂ«code_foldedÃÙ$33588e20-e6d4-11ea-08f6-7d10d9ef1481„§cell_idÙ$33588e20-e6d4-11ea-08f6-7d10d9ef1481¤codeÙøfunction eval_in_notebook(notebook::Pluto.Notebook, expr) ws = Pluto.WorkspaceManager.get_workspace((pluto_session, notebook)) fetcher = :(Core.eval($(ws.module_name), $(expr |> QuoteNode))) Distributed.remotecall_eval(Main, ws.pid, fetcher) end¨metadataƒ©show_logsÃ¨disabledÂ®skip_as_scriptÂ«code_foldedÂÙ$06edecc6-f864-11ea-03b0-03db23d2c780„§cell_idÙ$06edecc6-f864-11ea-03b0-03db23d2c780¤code ¨metadataƒ©show_logsÃ¨disabledÂ®skip_as_scriptÂ«code_foldedÃÙ$8c6c6114-e6d7-11ea-20b1-e718907e0767„§cell_idÙ$8c6c6114-e6d7-11ea-20b1-e718907e0767¤codeÙ&md"## Step 3: autograde all notebooks"¨metadataƒ©show_logsÃ¨disabledÂ®skip_as_scriptÂ«code_foldedÃÙ$8b9a3f7a-e6d4-11ea-34c5-ef986e6af936„§cell_idÙ$8b9a3f7a-e6d4-11ea-34c5-ef986e6af936¤codeÙJbegin # default displayname(action::GradingAction) = action.name end¨metadataƒ©show_logsÃ¨disabledÂ®skip_as_scriptÂ«code_foldedÂÙ$0796b462-f85c-11ea-1bf2-53ad24ec447c„§cell_idÙ$0796b462-f85c-11ea-1bf2-53ad24ec447c¤codeÙ-struct GradedStudent name email grader end¨metadataƒ©show_logsÃ¨disabledÂ®skip_as_scriptÂ«code_foldedÂÙ$9057dc04-e6d2-11ea-196b-1519cac7d248„§cell_idÙ$9057dc04-e6d2-11ea-196b-1519cac7d248¤codeÙRstruct AutoTestAction <: GradingAction name points_value::Number test::Expr end¨metadataƒ©show_logsÃ¨disabledÂ®skip_as_scriptÂ«code_foldedÂÙ$9090ee3e-e6de-11ea-14c3-27032e8710d3„§cell_idÙ$9090ee3e-e6de-11ea-14c3-27032e8710d3¤codeÙ$md"## Step 1: start notebook server"¨metadataƒ©show_logsÃ¨disabledÂ®skip_as_scriptÂ«code_foldedÃÙ$ca945d02-f686-11ea-03b4-393858220381„§cell_idÙ$ca945d02-f686-11ea-03b4-393858220381¤code·md"#### Manual grading"¨metadataƒ©show_logsÃ¨disabledÂ®skip_as_scriptÂ«code_foldedÃÙ$9c1c40f0-e6de-11ea-08d8-77acb2a550d4„§cell_idÙ$9c1c40f0-e6de-11ea-08d8-77acb2a550d4¤codeÙamd"**Click to start notebook server:** $(@bind run_server CheckBox()) run notebook server ---"¨metadataƒ©show_logsÃ¨disabledÂ®skip_as_scriptÂ«code_foldedÃÙ$c9a66a4a-e6e4-11ea-0528-f3bbf6f17675„§cell_idÙ$c9a66a4a-e6e4-11ea-0528-f3bbf6f17675¤codeÙPDownloadButton(sprint(CSV.write, autograde_results_df), "autograde_results.csv")¨metadataƒ©show_logsÃ¨disabledÂ®skip_as_scriptÂ«code_foldedÃÙ$b6512e8e-f85b-11ea-0cb6-619a5b3f67bc„§cell_idÙ$b6512e8e-f85b-11ea-0cb6-619a5b3f67bc¤codeµgraders_raw = """ """¨metadataƒ©show_logsÃ¨disabledÂ®skip_as_scriptÂ«code_foldedÃÙ$9815b7f4-f686-11ea-0760-05b34811be7f„§cell_idÙ$9815b7f4-f686-11ea-0760-05b34811be7f¤codeÙ0md"#### Autograde results for selected homework"¨metadataƒ©show_logsÃ¨disabledÂ®skip_as_scriptÂ«code_foldedÃÙ$b5d0d970-e6d9-11ea-20a5-01f0c4e3875c„§cell_idÙ$b5d0d970-e6d9-11ea-20a5-01f0c4e3875c¤codeÙãpluto_session = Pluto.ServerSession(;options=Pluto.Configuration.from_flat_kwargs( launch_browser=false, require_secret_for_open_links=false, require_secret_for_access=false, workspace_use_distributed=false, port=2468, ))¨metadataƒ©show_logsÃ¨disabledÂ®skip_as_scriptÂ«code_foldedÂÙ$7b3bb8c8-f687-11ea-27bb-45ed5807090e„§cell_idÙ$7b3bb8c8-f687-11ea-27bb-45ed5807090e¤codeÚÜmanual = [ ManualCheckAction("3.1 - colored line", 5, md"Did they write `colored_line(v)`?"), ManualScoreAction("3.4 - make it interactive", 8, md"Did they create a slider? Does the slider control the amount of blur?"), ManualScoreAction("4.2 - convolve_image", 20, md"Is convole_image correct?"), ManualScoreAction("4.3 - Gaussian blur", 10, md"Does the Gaussian blur look okay?"), ManualScoreAction("4.4 - Sobel filter", 10, md"Does the Sobel filter look okay?"), ]¨metadataƒ©show_logsÃ¨disabledÂ®skip_as_scriptÂ«code_foldedÃÙ$144aa7ec-f864-11ea-35c4-43e19d898887„§cell_idÙ$144aa7ec-f864-11ea-35c4-43e19d898887¤codeÙDsum(manual) do action try action.points_value catch 0 end end¨metadataƒ©show_logsÃ¨disabledÂ®skip_as_scriptÂ«code_foldedÃÙ$eade89f2-e6de-11ea-11bb-531a6b65c666„§cell_idÙ$eade89f2-e6de-11ea-11bb-531a6b65c666¤codeÙd@bind inspected_notebook_index_str Select([string(i) => nb.path for (i,nb) in enumerate(notebooks)])¨metadataƒ©show_logsÃ¨disabledÂ®skip_as_scriptÂ«code_foldedÂÙ$bbcd528e-e6e5-11ea-2d9c-a50835477b2e„§cell_idÙ$bbcd528e-e6e5-11ea-2d9c-a50835477b2e¤code¯md"## Not used"¨metadataƒ©show_logsÃ¨disabledÂ®skip_as_scriptÂ«code_foldedÃÙ$3f0aec92-e6e1-11ea-1b53-29b7b543674d„§cell_idÙ$3f0aec92-e6e1-11ea-1b53-29b7b543674d¤code ¨metadataƒ©show_logsÃ¨disabledÂ®skip_as_scriptÂ«code_foldedÃÙ$991ddb18-e6e6-11ea-220d-71b6794f39d8„§cell_idÙ$991ddb18-e6e6-11ea-220d-71b6794f39d8¤codeÙ1autograde_results_df[inspected_notebook_index, :]¨metadataƒ©show_logsÃ¨disabledÂ®skip_as_scriptÂ«code_foldedÂÙ$d0dd703a-e6da-11ea-1d4f-0b10bf75fad6„§cell_idÙ$d0dd703a-e6da-11ea-1d4f-0b10bf75fad6¤codeÙ md"## Step 2: autograde actions"¨metadataƒ©show_logsÃ¨disabledÂ®skip_as_scriptÂ«code_foldedÃÙ$c1f5bd3a-e6d2-11ea-20ab-d93e142aa71e„§cell_idÙ$c1f5bd3a-e6d2-11ea-20ab-d93e142aa71e¤code¿abstract type GradingAction end¨metadataƒ©show_logsÃ¨disabledÂ®skip_as_scriptÂ«code_foldedÂÙ$a6fe722e-e6da-11ea-21e8-1dea77b462ef„§cell_idÙ$a6fe722e-e6da-11ea-21e8-1dea77b462ef¤codeÙVsubmission_files_to_run = run_notebooks ? Pluto.tamepath.(submission_files) : String[]¨metadataƒ©show_logsÃ¨disabledÂ®skip_as_scriptÂ«code_foldedÂÙ$22fd661e-e6e7-11ea-2b4a-8981b17a790d„§cell_idÙ$22fd661e-e6e7-11ea-2b4a-8981b17a790d¤codeÚ+# struct ManualCheckAction <: GradingAction # name # points_value::Number # rubric # end begin inspected_notebook manual_results_dict @bind inspected_manual_results let boxes = map(enumerate(manual)) do (i,action) """ / $(action.points_value) $(repr(MIME"text/html"(), action.rubric)) """ end """

$(join(boxes))

""" |> HTML end end¨metadataƒ©show_logsÃ¨disabledÂ®skip_as_scriptÂ«code_foldedÃÙ$a3e47050-e6de-11ea-2a91-0597143f71ba„§cell_idÙ$a3e47050-e6de-11ea-2a91-0597143f71ba¤codeÙif run_server @async Pluto.run(pluto_session) md"> Server is running at [https://localhost:2468](https://localhost:2468)" end¨metadataƒ©show_logsÃ¨disabledÂ®skip_as_scriptÂ«code_foldedÂÙ$5642a754-e6d9-11ea-35b6-0fe20d6a098e„§cell_idÙ$5642a754-e6d9-11ea-35b6-0fe20d6a098e¤codeÚenotebooks = let for nb in values(pluto_session.notebooks) Pluto.SessionActions.shutdown(pluto_session, nb) end map(submission_files_to_run) do path nb = Pluto.load_notebook(Pluto.tamepath(path)) pluto_session.notebooks[nb.notebook_id] = nb Pluto.update_save_run!(pluto_session, nb, nb.cells; run_async=false, prerender_text=true) nb end end¨metadataƒ©show_logsÃ¨disabledÂ®skip_as_scriptÂ«code_foldedÂÙ$54c9b77c-e6e2-11ea-03ff-5d0d4a9dd763„§cell_idÙ$54c9b77c-e6e2-11ea-03ff-5d0d4a9dd763¤codeÙkif !all(isabspath, submission_files) md""" !!! warning Submission paths need to be _absolute_ """ end¨metadataƒ©show_logsÃ¨disabledÂ®skip_as_scriptÂ«code_foldedÃÙ$6b40e1d0-f865-11ea-3c2a-39fb643c8068„§cell_idÙ$6b40e1d0-f865-11ea-3c2a-39fb643c8068¤codeÙ:md"It should return an arrays of strings, something like:"¨metadataƒ©show_logsÃ¨disabledÂ®skip_as_scriptÂ«code_foldedÃÙ$e48f2a16-e6e1-11ea-070a-d58f87569b91„§cell_idÙ$e48f2a16-e6e1-11ea-070a-d58f87569b91¤code«md"## Misc"¨metadataƒ©show_logsÃ¨disabledÂ®skip_as_scriptÂ«code_foldedÃÙ$68da9dec-e6e1-11ea-1d9e-cdb7028f9b6a„§cell_idÙ$68da9dec-e6e1-11ea-1d9e-cdb7028f9b6a¤code¹md"# Part 1: autograding"¨metadataƒ©show_logsÃ¨disabledÂ®skip_as_scriptÂ«code_foldedÃÙ$3abb56e4-e6d3-11ea-3337-392a434e1a21„§cell_idÙ$3abb56e4-e6d3-11ea-3337-392a434e1a21¤codeÙ8struct GetValue <: GradingAction name getter::Expr end¨metadataƒ©show_logsÃ¨disabledÂ®skip_as_scriptÂ«code_foldedÂÙ$ce055a44-e6d8-11ea-3a07-75392c0f6c26„§cell_idÙ$ce055a44-e6d8-11ea-3a07-75392c0f6c26¤code¶md"## Grading actions"¨metadataƒ©show_logsÃ¨disabledÂ®skip_as_scriptÂ«code_foldedÃÙ$7cb1c9bc-f684-11ea-00f3-dfd11c9b72ef„§cell_idÙ$7cb1c9bc-f684-11ea-00f3-dfd11c9b72ef¤code¿HTMLTable(autograde_results_df)¨metadataƒ©show_logsÃ¨disabledÂ®skip_as_scriptÂ«code_foldedÂÙ$459687e0-e6e3-11ea-0c85-89516c7a2da0„§cell_idÙ$459687e0-e6e3-11ea-0c85-89516c7a2da0¤codeÙJDownloadButton(sprint(CSV.write, manual_results_df), "manual_results.csv")¨metadataƒ©show_logsÃ¨disabledÂ®skip_as_scriptÂ«code_foldedÃÙ$c0d9fb36-f858-11ea-35c0-77963b5cf57a„§cell_idÙ$c0d9fb36-f858-11ea-35c0-77963b5cf57a¤codeÙEsum(actions) do action try action.points_value catch 0 end end¨metadataƒ©show_logsÃ¨disabledÂ®skip_as_scriptÂ«code_foldedÂÙ$9982bbfa-00c0-11eb-0a5c-818fae8c01ce„§cell_idÙ$9982bbfa-00c0-11eb-0a5c-818fae8c01ce¤code¥Pluto¨metadataƒ©show_logsÃ¨disabledÂ®skip_as_scriptÂ«code_foldedÂÙ$96917e4e-f687-11ea-2256-7b1057a3b523„§cell_idÙ$96917e4e-f687-11ea-2256-7b1057a3b523¤codeÙµbegin struct ManualScoreAction <: GradingAction name points_value::Number rubric end ManualScoreAction(name, points_value) = ManualScoreAction(name, points_valie, name) end¨metadataƒ©show_logsÃ¨disabledÂ®skip_as_scriptÂ«code_foldedÂÙ$469a28fc-f856-11ea-2a6b-a706e607cf9f„§cell_idÙ$469a28fc-f856-11ea-2a6b-a706e607cf9f¤codeÚ manual_results_df = DataFrame(map(enumerate(collect(updated_manual_results_dict))) do (i,(filename, results)) (; map(zip(manual, results)) do (action, result) Symbol(displayname(action)) => result end..., autograde_results_df[1,:]..., ) end)¨metadataƒ©show_logsÃ¨disabledÂ®skip_as_scriptÂ«code_foldedÃÙ$b6b986c8-e6de-11ea-1d13-5d9d370eccdc„§cell_idÙ$b6b986c8-e6de-11ea-1d13-5d9d370eccdc¤codeÚ if run_server cd(inspected_notebook.path |> dirname) """