decompose affine into simpler transformations - #327

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Helper function for @timtreis as asked in #314.

@LucaMarconatoLucaMarconato linked an issue Jul 25, 2023 that may be closed by this pull request
Dev feature: decompose affine transformation into its component #314
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Please check the docstring of the _decompose_transformation() for a detailed explanation. Please let me know if you need more use cases or a different type of representation (like combining "shear" and "rotation" into a unique affine matrix, or forcing "shear" having diagonal values all 1 done; things like these).

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I added some tests, but at each run the function is also doing some additional lightweight checks before returning, so if there are bugs we catch them.

@LucaMarconatoLucaMarconato changed the title implemented _decompose_transformation()decompose affine into simpler transformationsJul 25, 2023
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Merging #327 (c0bca76) into main (b25ec12) will decrease coverage by 0.73%.
Report is 1 commits behind head on main.
The diff coverage is 100.00%.

❗ Current head c0bca76 differs from pull request most recent head 44f80bf. Consider uploading reports for the commit 44f80bf to get more accurate results

Additional details and impacted files
@@ Coverage Diff @@## main #327 +/- ##
==========================================
- Coverage 91.42% 90.69% -0.73% 
==========================================
Files 36 36 Lines 4849 4740 -109 ==========================================
- Hits 4433 4299 -134 - Misses 416 441 +25
FilesCoverage Δ
src/spatialdata/transformations/transformations.py92.36% <100.00%> (+0.87%)⬆️

... and 13 files with indirect coverage changes

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Please also have a look at the much simpler _decompose_affine_into_linear_and_translation(). For the new transformations refactoring I will need the new function of this PR because I want to separate operations on the coordinates and operations on the raw data that needs to be committed. But for plotting this PR may be overkill (or I may need to make a simpler function).

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@timtreis I made some changes, I added the parameter simple_decomposition to _decompose_transformation() and I believe that this is what you need (not _decompose_affine_into_linear_and_translation()). Thought about it and the original decomposition (simple_decomposition=False`) is probably not useful for matplotlib plotting.

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Other PR have more priorities for code review. Gonna merge since the PR is thoroughly tested and since I am going to test it manually again when refactoring the transformations using this code. CC @kevinyamauchi@giovp

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LucaMarconato merged commit da7cc58 into mainOct 28, 2023
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decompose affine into simpler transformations - #327
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util/affine_decomposition
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decompose affine into simpler transformations#327
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util/affine_decomposition
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Helper function for @timtreis as asked in #314.
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Dev feature: decompose affine transformation into its component
#314

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Please check the docstring of the _decompose_transformation() for a detailed explanation. Please let me know if you need more use cases or a different type of representation (like combining "shear" and "rotation" into a unique affine matrix, or forcing "shear" having diagonal values all 1 done; things like these).
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I added some tests, but at each run the function is also doing some additional lightweight checks before returning, so if there are bugs we catch them.
@LucaMarconatoLucaMarconato
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implemented _decompose_transformation()decompose affine into simpler transformationsJul 25, 2023
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Merging #327 (c0bca76) into main (b25ec12) will decrease coverage by 0.73%.

Report is 1 commits behind head on main.

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❗ Current head c0bca76 differs from pull request most recent head 44f80bf. Consider uploading reports for the commit 44f80bf to get more accurate results
Additional details and impacted files
@@ Coverage Diff @@## main #327 +/- ##
==========================================
- Coverage 91.42% 90.69% -0.73% 
==========================================
Files 36 36 Lines 4849 4740 -109 ==========================================
- Hits 4433 4299 -134 - Misses 416 441 +25 
FilesCoverage Δ
src/spatialdata/transformations/transformations.py92.36% <100.00%> (+0.87%)⬆️
... and 13 files with indirect coverage changes
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Please also have a look at the much simpler _decompose_affine_into_linear_and_translation(). For the new transformations refactoring I will need the new function of this PR because I want to separate operations on the coordinates and operations on the raw data that needs to be committed. But for plotting this PR may be overkill (or I may need to make a simpler function).
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@timtreis I made some changes, I added the parameter simple_decomposition to _decompose_transformation() and I believe that this is what you need (not _decompose_affine_into_linear_and_translation()). Thought about it and the original decomposition (simple_decomposition=False`) is probably not useful for matplotlib plotting.
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Other PR have more priorities for code review. Gonna merge since the PR is thoroughly tested and since I am going to test it manually again when refactoring the transformations using this code. CC @kevinyamauchi@giovp
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decompose affine into simpler transformations - #327
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util/affine_decomposition
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decompose affine into simpler transformations#327
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util/affine_decomposition
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Helper function for @timtreis as asked in #314.
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Dev feature: decompose affine transformation into its component
#314

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Please check the docstring of the _decompose_transformation() for a detailed explanation. Please let me know if you need more use cases or a different type of representation (like combining "shear" and "rotation" into a unique affine matrix, or forcing "shear" having diagonal values all 1 done; things like these).
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I added some tests, but at each run the function is also doing some additional lightweight checks before returning, so if there are bugs we catch them.
@LucaMarconatoLucaMarconato
changed the title
implemented _decompose_transformation()decompose affine into simpler transformationsJul 25, 2023
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Merging #327 (c0bca76) into main (b25ec12) will decrease coverage by 0.73%.

Report is 1 commits behind head on main.

The diff coverage is 100.00%.
❗ Current head c0bca76 differs from pull request most recent head 44f80bf. Consider uploading reports for the commit 44f80bf to get more accurate results
Additional details and impacted files
@@ Coverage Diff @@## main #327 +/- ##
==========================================
- Coverage 91.42% 90.69% -0.73% 
==========================================
Files 36 36 Lines 4849 4740 -109 ==========================================
- Hits 4433 4299 -134 - Misses 416 441 +25 
FilesCoverage Δ
src/spatialdata/transformations/transformations.py92.36% <100.00%> (+0.87%)⬆️
... and 13 files with indirect coverage changes
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Please also have a look at the much simpler _decompose_affine_into_linear_and_translation(). For the new transformations refactoring I will need the new function of this PR because I want to separate operations on the coordinates and operations on the raw data that needs to be committed. But for plotting this PR may be overkill (or I may need to make a simpler function).
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@timtreis I made some changes, I added the parameter simple_decomposition to _decompose_transformation() and I believe that this is what you need (not _decompose_affine_into_linear_and_translation()). Thought about it and the original decomposition (simple_decomposition=False`) is probably not useful for matplotlib plotting.
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Other PR have more priorities for code review. Gonna merge since the PR is thoroughly tested and since I am going to test it manually again when refactoring the transformations using this code. CC @kevinyamauchi@giovp
@LucaMarconato
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merged commit da7cc58
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, 'i');
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var __m = "*";
var __re = new RegExp('^' + ".*" + '

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decompose affine into simpler transformations - #327
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util/affine_decomposition
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Merged
decompose affine into simpler transformations#327
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util/affine_decomposition
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Helper function for @timtreis as asked in #314.
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linked an issue
Jul 25, 2023
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Dev feature: decompose affine transformation into its component
#314

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Please check the docstring of the _decompose_transformation() for a detailed explanation. Please let me know if you need more use cases or a different type of representation (like combining "shear" and "rotation" into a unique affine matrix, or forcing "shear" having diagonal values all 1 done; things like these).
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I added some tests, but at each run the function is also doing some additional lightweight checks before returning, so if there are bugs we catch them.
@LucaMarconatoLucaMarconato
changed the title
implemented _decompose_transformation()decompose affine into simpler transformationsJul 25, 2023
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Codecov Report
Merging #327 (c0bca76) into main (b25ec12) will decrease coverage by 0.73%.

Report is 1 commits behind head on main.

The diff coverage is 100.00%.
❗ Current head c0bca76 differs from pull request most recent head 44f80bf. Consider uploading reports for the commit 44f80bf to get more accurate results
Additional details and impacted files
@@ Coverage Diff @@## main #327 +/- ##
==========================================
- Coverage 91.42% 90.69% -0.73% 
==========================================
Files 36 36 Lines 4849 4740 -109 ==========================================
- Hits 4433 4299 -134 - Misses 416 441 +25 
FilesCoverage Δ
src/spatialdata/transformations/transformations.py92.36% <100.00%> (+0.87%)⬆️
... and 13 files with indirect coverage changes
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Please also have a look at the much simpler _decompose_affine_into_linear_and_translation(). For the new transformations refactoring I will need the new function of this PR because I want to separate operations on the coordinates and operations on the raw data that needs to be committed. But for plotting this PR may be overkill (or I may need to make a simpler function).
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@timtreis I made some changes, I added the parameter simple_decomposition to _decompose_transformation() and I believe that this is what you need (not _decompose_affine_into_linear_and_translation()). Thought about it and the original decomposition (simple_decomposition=False`) is probably not useful for matplotlib plotting.
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Other PR have more priorities for code review. Gonna merge since the PR is thoroughly tested and since I am going to test it manually again when refactoring the transformations using this code. CC @kevinyamauchi@giovp
@LucaMarconato
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merged commit da7cc58
into
mainOct 28, 2023
@LucaMarconato
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, 'i');
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decompose affine into simpler transformations - #327
Merged
LucaMarconato merged 3 commits into
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util/affine_decomposition
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Merged
decompose affine into simpler transformations#327
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util/affine_decomposition
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Helper function for @timtreis as asked in #314.
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Dev feature: decompose affine transformation into its component
#314

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Please check the docstring of the _decompose_transformation() for a detailed explanation. Please let me know if you need more use cases or a different type of representation (like combining "shear" and "rotation" into a unique affine matrix, or forcing "shear" having diagonal values all 1 done; things like these).
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I added some tests, but at each run the function is also doing some additional lightweight checks before returning, so if there are bugs we catch them.
@LucaMarconatoLucaMarconato
changed the title
implemented _decompose_transformation()decompose affine into simpler transformationsJul 25, 2023
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Merging #327 (c0bca76) into main (b25ec12) will decrease coverage by 0.73%.

Report is 1 commits behind head on main.

The diff coverage is 100.00%.
❗ Current head c0bca76 differs from pull request most recent head 44f80bf. Consider uploading reports for the commit 44f80bf to get more accurate results
Additional details and impacted files
@@ Coverage Diff @@## main #327 +/- ##
==========================================
- Coverage 91.42% 90.69% -0.73% 
==========================================
Files 36 36 Lines 4849 4740 -109 ==========================================
- Hits 4433 4299 -134 - Misses 416 441 +25 
FilesCoverage Δ
src/spatialdata/transformations/transformations.py92.36% <100.00%> (+0.87%)⬆️
... and 13 files with indirect coverage changes
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Please also have a look at the much simpler _decompose_affine_into_linear_and_translation(). For the new transformations refactoring I will need the new function of this PR because I want to separate operations on the coordinates and operations on the raw data that needs to be committed. But for plotting this PR may be overkill (or I may need to make a simpler function).
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@timtreis I made some changes, I added the parameter simple_decomposition to _decompose_transformation() and I believe that this is what you need (not _decompose_affine_into_linear_and_translation()). Thought about it and the original decomposition (simple_decomposition=False`) is probably not useful for matplotlib plotting.
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Other PR have more priorities for code review. Gonna merge since the PR is thoroughly tested and since I am going to test it manually again when refactoring the transformations using this code. CC @kevinyamauchi@giovp
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merged commit da7cc58
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, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Auto-enable theater mode on YouTube\n(function() {\n function tryTheater() {\n var btn = document.querySelector('button[aria-label=\"Theater mode\"], ytd-player #player button[title=\"Theater mode\"]');\n if (btn && !btn.classList.contains('activated')) {\n btn.click();\n }\n }\n \n // Try immediately\n tryTheater();\n \n // Try after navigation (SPA)\n var lastUrl = location.href;\n setInterval(function() {\n if (location.href !== lastUrl) {\n lastUrl = location.href;\n setTimeout(tryTheater, 500);\n }\n }, 1000);\n \n // Also try on player load\n var observer = new MutationObserver(tryTheater);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "YouTube Theater Mode Default");
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})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

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decompose affine into simpler transformations - #327
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util/affine_decomposition
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decompose affine into simpler transformations#327
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util/affine_decomposition
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Helper function for @timtreis as asked in #314.
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Dev feature: decompose affine transformation into its component
#314

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Please check the docstring of the _decompose_transformation() for a detailed explanation. Please let me know if you need more use cases or a different type of representation (like combining "shear" and "rotation" into a unique affine matrix, or forcing "shear" having diagonal values all 1 done; things like these).
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I added some tests, but at each run the function is also doing some additional lightweight checks before returning, so if there are bugs we catch them.
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changed the title
implemented _decompose_transformation()decompose affine into simpler transformationsJul 25, 2023
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Codecov Report
Merging #327 (c0bca76) into main (b25ec12) will decrease coverage by 0.73%.

Report is 1 commits behind head on main.

The diff coverage is 100.00%.
❗ Current head c0bca76 differs from pull request most recent head 44f80bf. Consider uploading reports for the commit 44f80bf to get more accurate results
Additional details and impacted files
@@ Coverage Diff @@## main #327 +/- ##
==========================================
- Coverage 91.42% 90.69% -0.73% 
==========================================
Files 36 36 Lines 4849 4740 -109 ==========================================
- Hits 4433 4299 -134 - Misses 416 441 +25 
FilesCoverage Δ
src/spatialdata/transformations/transformations.py92.36% <100.00%> (+0.87%)⬆️
... and 13 files with indirect coverage changes
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Please also have a look at the much simpler _decompose_affine_into_linear_and_translation(). For the new transformations refactoring I will need the new function of this PR because I want to separate operations on the coordinates and operations on the raw data that needs to be committed. But for plotting this PR may be overkill (or I may need to make a simpler function).
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@timtreis I made some changes, I added the parameter simple_decomposition to _decompose_transformation() and I believe that this is what you need (not _decompose_affine_into_linear_and_translation()). Thought about it and the original decomposition (simple_decomposition=False`) is probably not useful for matplotlib plotting.
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Other PR have more priorities for code review. Gonna merge since the PR is thoroughly tested and since I am going to test it manually again when refactoring the transformations using this code. CC @kevinyamauchi@giovp
@LucaMarconato
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merged commit da7cc58
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, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Remove or un-stick sticky/fixed headers that block content\n(function() {\n function unstick() {\n document.querySelectorAll('header, nav, [role=\"banner\"], .header, .navbar, .sticky, .fixed-top, [style*=\"position: fixed\"], [style*=\"position:sticky\"]').forEach(function(el) {\n if (el.style.position === 'fixed' || el.style.position === 'sticky' || \n getComputedStyle(el).position === 'fixed' || getComputedStyle(el).position === 'sticky') {\n el.style.position = 'static';\n el.style.top = 'auto';\n el.style.zIndex = 'auto';\n }\n });\n }\n \n unstick();\n \n var observer = new MutationObserver(unstick);\n observer.observe(document.body, { childList: true, subtree: true, attributes: true, attributeFilter: ['style', 'class'] });\n})();", "Kill Sticky Headers");
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} catch(__e) { console.warn('[Userscript:Kill Sticky Headers]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

Skip to content
decompose affine into simpler transformations - #327
Merged
LucaMarconato merged 3 commits into
mainfrom 
util/affine_decomposition
Oct 28, 2023
Merged
decompose affine into simpler transformations#327
LucaMarconato merged 3 commits into
mainfrom 
util/affine_decomposition
Conversation
@LucaMarconato
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Helper function for @timtreis as asked in #314.
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linked an issue
Jul 25, 2023
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by this pull request


Dev feature: decompose affine transformation into its component
#314

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Jul 25, 2023•

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Please check the docstring of the _decompose_transformation() for a detailed explanation. Please let me know if you need more use cases or a different type of representation (like combining "shear" and "rotation" into a unique affine matrix, or forcing "shear" having diagonal values all 1 done; things like these).
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I added some tests, but at each run the function is also doing some additional lightweight checks before returning, so if there are bugs we catch them.
@LucaMarconatoLucaMarconato
changed the title
implemented _decompose_transformation()decompose affine into simpler transformationsJul 25, 2023
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Codecov Report
Merging #327 (c0bca76) into main (b25ec12) will decrease coverage by 0.73%.

Report is 1 commits behind head on main.

The diff coverage is 100.00%.
❗ Current head c0bca76 differs from pull request most recent head 44f80bf. Consider uploading reports for the commit 44f80bf to get more accurate results
Additional details and impacted files
@@ Coverage Diff @@## main #327 +/- ##
==========================================
- Coverage 91.42% 90.69% -0.73% 
==========================================
Files 36 36 Lines 4849 4740 -109 ==========================================
- Hits 4433 4299 -134 - Misses 416 441 +25 
FilesCoverage Δ
src/spatialdata/transformations/transformations.py92.36% <100.00%> (+0.87%)⬆️
... and 13 files with indirect coverage changes
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Please also have a look at the much simpler _decompose_affine_into_linear_and_translation(). For the new transformations refactoring I will need the new function of this PR because I want to separate operations on the coordinates and operations on the raw data that needs to be committed. But for plotting this PR may be overkill (or I may need to make a simpler function).
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@timtreis I made some changes, I added the parameter simple_decomposition to _decompose_transformation() and I believe that this is what you need (not _decompose_affine_into_linear_and_translation()). Thought about it and the original decomposition (simple_decomposition=False`) is probably not useful for matplotlib plotting.
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Other PR have more priorities for code review. Gonna merge since the PR is thoroughly tested and since I am going to test it manually again when refactoring the transformations using this code. CC @kevinyamauchi@giovp
@LucaMarconato
LucaMarconato
merged commit da7cc58
into
mainOct 28, 2023
@LucaMarconato
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deleted the

util/affine_decomposition

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October 28, 2023 19:26
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, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Universal Dark Mode - works on any site\n(function() {\n var enabled = true;\n \n function applyDarkMode() {\n if (!enabled) return;\n \n // Create style element if it doesn't exist\n var style = document.getElementById('universal-dark-mode-style');\n if (!style) {\n style = document.createElement('style');\n style.id = 'universal-dark-mode-style';\n document.head.appendChild(style);\n }\n \n // Dark mode CSS - inverts colors but preserves images/video\n style.textContent = '\n /* Invert everything except media */\n html {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #1a1a2e !important;\n }\n \n /* Restore images, videos, iframes, canvas */\n img, video, iframe, canvas, svg, picture, [style*=\"background-image\"] {\n filter: invert(1) hue-rotate(180deg) !important;\n }\n \n /* Preserve specific elements that should not be inverted */\n .no-dark-mode, .no-dark-mode *,\n [data-theme=\"light\"], [data-theme=\"light\"],\n .ace_editor, .ace_editor *,\n .CodeMirror, .CodeMirror *,\n .monaco-editor, .monaco-editor *,\n .markdown-body pre, .markdown-body pre *,\n .highlight, .highlight *,\n pre code, pre code * {\n filter: none !important;\n }\n \n /* Fix common UI elements */\n .modal, .popup, .dropdown-menu, .tooltip, .popover {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #2d2d44 !important;\n border-color: #444 !important;\n }\n \n /* Scrollbars */\n ::-webkit-scrollbar { background: #1a1a2e !important; }\n ::-webkit-scrollbar-thumb { background: #444 !important; }\n ::-webkit-scrollbar-thumb:hover { background: #555 !important; }\n \n /* Selection */\n ::selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ::-moz-selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ';\n }\n \n function removeDarkMode() {\n var style = document.getElementById('universal-dark-mode-style');\n if (style) style.remove();\n }\n \n // Toggle with Alt+Shift+D\n document.addEventListener('keydown', function(e) {\n if (e.altKey && e.shiftKey && e.key === 'D') {\n e.preventDefault();\n enabled = !enabled;\n if (enabled) {\n applyDarkMode();\n console.log('[Universal Dark Mode] Enabled');\n } else {\n removeDarkMode();\n console.log('[Universal Dark Mode] Disabled');\n }\n }\n });\n \n // Apply on load\n applyDarkMode();\n \n // Re-apply on dynamic content\n var observer = new MutationObserver(function(mutations) {\n if (enabled && !document.getElementById('universal-dark-mode-style')) {\n applyDarkMode();\n }\n });\n observer.observe(document.head, { childList: true });\n \n console.log('[Universal Dark Mode] Loaded - Press Alt+Shift+D to toggle');\n})();", "Universal Dark Mode");
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Skip to content
decompose affine into simpler transformations - #327
Merged
LucaMarconato merged 3 commits into
mainfrom 
util/affine_decomposition
Oct 28, 2023
Merged
decompose affine into simpler transformations#327
LucaMarconato merged 3 commits into
mainfrom 
util/affine_decomposition
Conversation
@LucaMarconato
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Helper function for @timtreis as asked in #314.
@LucaMarconatoLucaMarconato
linked an issue
Jul 25, 2023
that may be
closed
by this pull request


Dev feature: decompose affine transformation into its component
#314

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Jul 25, 2023•

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Please check the docstring of the _decompose_transformation() for a detailed explanation. Please let me know if you need more use cases or a different type of representation (like combining "shear" and "rotation" into a unique affine matrix, or forcing "shear" having diagonal values all 1 done; things like these).
@LucaMarconato
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Jul 25, 2023

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I added some tests, but at each run the function is also doing some additional lightweight checks before returning, so if there are bugs we catch them.
@LucaMarconatoLucaMarconato
changed the title
implemented _decompose_transformation()decompose affine into simpler transformationsJul 25, 2023
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Jul 25, 2023•

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Codecov Report
Merging #327 (c0bca76) into main (b25ec12) will decrease coverage by 0.73%.

Report is 1 commits behind head on main.

The diff coverage is 100.00%.
❗ Current head c0bca76 differs from pull request most recent head 44f80bf. Consider uploading reports for the commit 44f80bf to get more accurate results
Additional details and impacted files
@@ Coverage Diff @@## main #327 +/- ##
==========================================
- Coverage 91.42% 90.69% -0.73% 
==========================================
Files 36 36 Lines 4849 4740 -109 ==========================================
- Hits 4433 4299 -134 - Misses 416 441 +25 
FilesCoverage Δ
src/spatialdata/transformations/transformations.py92.36% <100.00%> (+0.87%)⬆️
... and 13 files with indirect coverage changes
@LucaMarconato
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Jul 25, 2023•

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Please also have a look at the much simpler _decompose_affine_into_linear_and_translation(). For the new transformations refactoring I will need the new function of this PR because I want to separate operations on the coordinates and operations on the raw data that needs to be committed. But for plotting this PR may be overkill (or I may need to make a simpler function).
@LucaMarconato
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Jul 28, 2023

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@timtreis I made some changes, I added the parameter simple_decomposition to _decompose_transformation() and I believe that this is what you need (not _decompose_affine_into_linear_and_translation()). Thought about it and the original decomposition (simple_decomposition=False`) is probably not useful for matplotlib plotting.
@LucaMarconatoLucaMarconato
mentioned this pull request
Oct 10, 2023

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Other PR have more priorities for code review. Gonna merge since the PR is thoroughly tested and since I am going to test it manually again when refactoring the transformations using this code. CC @kevinyamauchi@giovp
@LucaMarconato
LucaMarconato
merged commit da7cc58
into
mainOct 28, 2023
@LucaMarconato
LucaMarconato
deleted the

util/affine_decomposition

branch
October 28, 2023 19:26
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Dev feature: decompose affine transformation into its component


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