GH-15017: [Python] Harden test_memory.py for use with ARROW_USE_GLOG=ON - #36901

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GH-15017: [Python] Harden test_memory.py for use with ARROW_USE_GLOG=ON#36901
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harden test_memory.py for use with ARROW_USE_GLOG=ON
f0fbddf
Suggested-By: Sutou Kouhei <kou@clear-code.com>
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⚠️ GitHub issue #15017has been automatically assigned in GitHub to PR creator.

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@github-actions crossbow submit -g conda-linux-x64-cpu-py3

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Invalid group(s) {'conda-linux-x64-cpu-py3'}. Must be one of {'example-cpp', 'conda', 'test', 'homebrew', 'linux', 'fuzz', 'c-glib', 'verify-rc-source', 'ruby', 'integration', 'verify-rc-source-linux', 'verify-rc-source-macos', 'vcpkg', 'cpp', 'example', 'nightly-tests', 'linux-amd64', 'verify-rc-binaries', 'wheel', 'verify-rc-wheels', 'nightly-packaging', 'python', 'nightly', 'packaging', 'linux-arm64', 'verify-rc', 'example-python', 'conan', 'r', 'nightly-release', 'verify-rc-jars'}
The Archery job run can be found at: https://github.com/apache/arrow/actions/runs/5675632984

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I don't want to run the full barrage of conda-tests here to verify that the tests passes when glog is enabled. One run of conda-{linux,osx}-x64-cpu-py3 would be enough, but I don't know how to do that with the crossbow invocation.

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@koukou changed the title GH-15017: harden test_memory.py for use with ARROW_USE_GLOG=ONGH-15017: [Python] Harden test_memory.py for use with ARROW_USE_GLOG=ONJul 27, 2023
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Revision: f0fbddf

Submitted crossbow builds: ursacomputing/crossbow @ actions-1537d49ce0

TaskStatus
conda-linux-x64-cpu-py3Azure
conda-osx-x64-cpu-py3Azure

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Revision: 9e394b2

Submitted crossbow builds: ursacomputing/crossbow @ actions-d5c32d8073

TaskStatus
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conda-osx-x64-cpu-py3Azure

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@kou, this should be ready IMO - at least, I couldn't find anything in the linter job that's related to this PR.

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+1

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kou merged commit 47e438a into apache:mainJul 28, 2023
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Thanks for fixing the superfluous f-string! :)

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After merging your PR, Conbench analyzed the 6 benchmarking runs that have been run so far on merge-commit 47e438a.

There were no benchmark performance regressions. 🎉

The full Conbench report has more details. It also includes information about possible false positives for unstable benchmarks that are known to sometimes produce them.

loicalleyne pushed a commit to loicalleyne/arrow that referenced this pull request Nov 13, 2023
@h-vetinari@kou@loicalleyne
apacheGH-15017: [Python] Harden test_memory.py for use with ARROW_USE…
43ace75
…_GLOG=ON (apache#36901)
Accept output pattern for ARROW_USE_GLOG=ON too.
* Closes: apache#15017
Lead-authored-by: H. Vetinari <h.vetinari@gmx.com>
Co-authored-by: Sutou Kouhei <kou@cozmixng.org>
Signed-off-by: Sutou Kouhei <kou@clear-code.com>
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[Python] BUG: two failing tests related to ARROW_DEFAULT_MEMORY_POOL in conda builds on unix

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, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Add copy buttons to all 
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GH-15017: [Python] Harden test_memory.py for use with ARROW_USE_GLOG=ON - #36901
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GH-15017: [Python] Harden test_memory.py for use with ARROW_USE_GLOG=ON#36901
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harden test_memory.py for use with ARROW_USE_GLOG=ON
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Invalid group(s) {'conda-linux-x64-cpu-py3'}. Must be one of {'example-cpp', 'conda', 'test', 'homebrew', 'linux', 'fuzz', 'c-glib', 'verify-rc-source', 'ruby', 'integration', 'verify-rc-source-linux', 'verify-rc-source-macos', 'vcpkg', 'cpp', 'example', 'nightly-tests', 'linux-amd64', 'verify-rc-binaries', 'wheel', 'verify-rc-wheels', 'nightly-packaging', 'python', 'nightly', 'packaging', 'linux-arm64', 'verify-rc', 'example-python', 'conan', 'r', 'nightly-release', 'verify-rc-jars'}
The Archery job run can be found at: https://github.com/apache/arrow/actions/runs/5675632984

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I don't want to run the full barrage of conda-tests here to verify that the tests passes when glog is enabled. One run of conda-{linux,osx}-x64-cpu-py3 would be enough, but I don't know how to do that with the crossbow invocation.
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GH-15017: harden test_memory.py for use with ARROW_USE_GLOG=ONGH-15017: [Python] Harden test_memory.py for use with ARROW_USE_GLOG=ONJul 27, 2023
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Revision: f0fbddf
Submitted crossbow builds: ursacomputing/crossbow @ actions-1537d49ce0
TaskStatus
conda-linux-x64-cpu-py3Azure
conda-osx-x64-cpu-py3Azure
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Revision: 9e394b2
Submitted crossbow builds: ursacomputing/crossbow @ actions-d5c32d8073
TaskStatus
conda-linux-x64-cpu-py3Azure
conda-osx-x64-cpu-py3Azure
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@kou, this should be ready IMO - at least, I couldn't find anything in the linter job that's related to this PR.
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+1
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Thanks for fixing the superfluous f-string! :)
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After merging your PR, Conbench analyzed the 6 benchmarking runs that have been run so far on merge-commit 47e438a.
There were no benchmark performance regressions. 🎉
The full Conbench report has more details. It also includes information about possible false positives for unstable benchmarks that are known to sometimes produce them.
loicalleyne pushed a commit
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Nov 13, 2023
@h-vetinari@kou@loicalleyne
apacheGH-15017: [Python] Harden test_memory.py for use with ARROW_USE…
43ace75
…_GLOG=ON (apache#36901)
Accept output pattern for ARROW_USE_GLOG=ON too.
* Closes: apache#15017
Lead-authored-by: H. Vetinari <h.vetinari@gmx.com>
Co-authored-by: Sutou Kouhei <kou@cozmixng.org>
Signed-off-by: Sutou Kouhei <kou@clear-code.com>
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, 'i');
if (__m === '*' || __re.test(location.href)) {
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})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

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GH-15017: [Python] Harden test_memory.py for use with ARROW_USE_GLOG=ON - #36901
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GH-15017: [Python] Harden test_memory.py for use with ARROW_USE_GLOG=ON#36901
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harden test_memory.py for use with ARROW_USE_GLOG=ON
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Suggested-By: Sutou Kouhei <kou@clear-code.com>
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Invalid group(s) {'conda-linux-x64-cpu-py3'}. Must be one of {'example-cpp', 'conda', 'test', 'homebrew', 'linux', 'fuzz', 'c-glib', 'verify-rc-source', 'ruby', 'integration', 'verify-rc-source-linux', 'verify-rc-source-macos', 'vcpkg', 'cpp', 'example', 'nightly-tests', 'linux-amd64', 'verify-rc-binaries', 'wheel', 'verify-rc-wheels', 'nightly-packaging', 'python', 'nightly', 'packaging', 'linux-arm64', 'verify-rc', 'example-python', 'conan', 'r', 'nightly-release', 'verify-rc-jars'}
The Archery job run can be found at: https://github.com/apache/arrow/actions/runs/5675632984

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I don't want to run the full barrage of conda-tests here to verify that the tests passes when glog is enabled. One run of conda-{linux,osx}-x64-cpu-py3 would be enough, but I don't know how to do that with the crossbow invocation.
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GH-15017: harden test_memory.py for use with ARROW_USE_GLOG=ONGH-15017: [Python] Harden test_memory.py for use with ARROW_USE_GLOG=ONJul 27, 2023
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Revision: f0fbddf
Submitted crossbow builds: ursacomputing/crossbow @ actions-1537d49ce0
TaskStatus
conda-linux-x64-cpu-py3Azure
conda-osx-x64-cpu-py3Azure
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Revision: 9e394b2
Submitted crossbow builds: ursacomputing/crossbow @ actions-d5c32d8073
TaskStatus
conda-linux-x64-cpu-py3Azure
conda-osx-x64-cpu-py3Azure
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@kou, this should be ready IMO - at least, I couldn't find anything in the linter job that's related to this PR.
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Thanks for fixing the superfluous f-string! :)
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After merging your PR, Conbench analyzed the 6 benchmarking runs that have been run so far on merge-commit 47e438a.
There were no benchmark performance regressions. 🎉
The full Conbench report has more details. It also includes information about possible false positives for unstable benchmarks that are known to sometimes produce them.
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Nov 13, 2023
@h-vetinari@kou@loicalleyne
apacheGH-15017: [Python] Harden test_memory.py for use with ARROW_USE…
43ace75
…_GLOG=ON (apache#36901)
Accept output pattern for ARROW_USE_GLOG=ON too.
* Closes: apache#15017
Lead-authored-by: H. Vetinari <h.vetinari@gmx.com>
Co-authored-by: Sutou Kouhei <kou@cozmixng.org>
Signed-off-by: Sutou Kouhei <kou@clear-code.com>
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, 'i');
if (__m === '*' || __re.test(location.href)) {
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} catch(__e) { console.warn('[Userscript:Highlight Search Terms]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

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GH-15017: [Python] Harden test_memory.py for use with ARROW_USE_GLOG=ON - #36901
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GH-15017: [Python] Harden test_memory.py for use with ARROW_USE_GLOG=ON#36901
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harden test_memory.py for use with ARROW_USE_GLOG=ON
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Invalid group(s) {'conda-linux-x64-cpu-py3'}. Must be one of {'example-cpp', 'conda', 'test', 'homebrew', 'linux', 'fuzz', 'c-glib', 'verify-rc-source', 'ruby', 'integration', 'verify-rc-source-linux', 'verify-rc-source-macos', 'vcpkg', 'cpp', 'example', 'nightly-tests', 'linux-amd64', 'verify-rc-binaries', 'wheel', 'verify-rc-wheels', 'nightly-packaging', 'python', 'nightly', 'packaging', 'linux-arm64', 'verify-rc', 'example-python', 'conan', 'r', 'nightly-release', 'verify-rc-jars'}
The Archery job run can be found at: https://github.com/apache/arrow/actions/runs/5675632984

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I don't want to run the full barrage of conda-tests here to verify that the tests passes when glog is enabled. One run of conda-{linux,osx}-x64-cpu-py3 would be enough, but I don't know how to do that with the crossbow invocation.
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GH-15017: harden test_memory.py for use with ARROW_USE_GLOG=ONGH-15017: [Python] Harden test_memory.py for use with ARROW_USE_GLOG=ONJul 27, 2023
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Revision: f0fbddf
Submitted crossbow builds: ursacomputing/crossbow @ actions-1537d49ce0
TaskStatus
conda-linux-x64-cpu-py3Azure
conda-osx-x64-cpu-py3Azure
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Revision: 9e394b2
Submitted crossbow builds: ursacomputing/crossbow @ actions-d5c32d8073
TaskStatus
conda-linux-x64-cpu-py3Azure
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@kou, this should be ready IMO - at least, I couldn't find anything in the linter job that's related to this PR.
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merged commit 47e438a
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Thanks for fixing the superfluous f-string! :)
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After merging your PR, Conbench analyzed the 6 benchmarking runs that have been run so far on merge-commit 47e438a.
There were no benchmark performance regressions. 🎉
The full Conbench report has more details. It also includes information about possible false positives for unstable benchmarks that are known to sometimes produce them.
loicalleyne pushed a commit
to loicalleyne/arrow
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Nov 13, 2023
@h-vetinari@kou@loicalleyne
apacheGH-15017: [Python] Harden test_memory.py for use with ARROW_USE…
43ace75
…_GLOG=ON (apache#36901)
Accept output pattern for ARROW_USE_GLOG=ON too.
* Closes: apache#15017
Lead-authored-by: H. Vetinari <h.vetinari@gmx.com>
Co-authored-by: Sutou Kouhei <kou@cozmixng.org>
Signed-off-by: Sutou Kouhei <kou@clear-code.com>
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[Python] BUG: two failing tests related to ARROW_DEFAULT_MEMORY_POOL in conda builds on unix


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, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Strip utm_, fbclid, gclid, etc. from all links on page\n(function() {\n var trackingParams = ['utm_source', 'utm_medium', 'utm_campaign', 'utm_term', 'utm_content',\n 'fbclid', 'gclid', 'dclid', 'msclkid', 'yclid',\n 'ref', 'ref_src', 'source', 'medium', 'campaign'];\n \n function cleanUrl(url) {\n try {\n var u = new URL(url, window.location.origin);\n var changed = false;\n trackingParams.forEach(function(p) {\n if (u.searchParams.has(p)) {\n u.searchParams.delete(p);\n changed = true;\n }\n });\n return changed ? u.toString() : url;\n } catch (e) {\n return url;\n }\n }\n \n function cleanLinks() {\n document.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n \n cleanLinks();\n \n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1) {\n if (node.tagName === 'A') cleanLinks();\n node.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Remove Tracking Parameters from Links");
}
} catch(__e) { console.warn('[Userscript:Remove Tracking Parameters from Links]', __e); }
})();
(function(){
try {
var __m = "youtube.com";
var __re = new RegExp('^' + "youtube\\.com" + '

Skip to content
GH-15017: [Python] Harden test_memory.py for use with ARROW_USE_GLOG=ON - #36901
Merged
kou merged 3 commits into
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h-vetinari:glog_test
Jul 28, 2023
Merged
GH-15017: [Python] Harden test_memory.py for use with ARROW_USE_GLOG=ON#36901
kou merged 3 commits into
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harden test_memory.py for use with ARROW_USE_GLOG=ON
f0fbddf
Suggested-By: Sutou Kouhei <kou@clear-code.com>
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⚠️ GitHub issue #15017has been automatically assigned in GitHub to PR creator.
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Invalid group(s) {'conda-linux-x64-cpu-py3'}. Must be one of {'example-cpp', 'conda', 'test', 'homebrew', 'linux', 'fuzz', 'c-glib', 'verify-rc-source', 'ruby', 'integration', 'verify-rc-source-linux', 'verify-rc-source-macos', 'vcpkg', 'cpp', 'example', 'nightly-tests', 'linux-amd64', 'verify-rc-binaries', 'wheel', 'verify-rc-wheels', 'nightly-packaging', 'python', 'nightly', 'packaging', 'linux-arm64', 'verify-rc', 'example-python', 'conan', 'r', 'nightly-release', 'verify-rc-jars'}
The Archery job run can be found at: https://github.com/apache/arrow/actions/runs/5675632984

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I don't want to run the full barrage of conda-tests here to verify that the tests passes when glog is enabled. One run of conda-{linux,osx}-x64-cpu-py3 would be enough, but I don't know how to do that with the crossbow invocation.
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@github-actions crossbow submit conda-linux-x64-cpu-py3 conda-osx-x64-cpu-py3
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GH-15017: harden test_memory.py for use with ARROW_USE_GLOG=ONGH-15017: [Python] Harden test_memory.py for use with ARROW_USE_GLOG=ONJul 27, 2023
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Revision: f0fbddf
Submitted crossbow builds: ursacomputing/crossbow @ actions-1537d49ce0
TaskStatus
conda-linux-x64-cpu-py3Azure
conda-osx-x64-cpu-py3Azure
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Revision: 9e394b2
Submitted crossbow builds: ursacomputing/crossbow @ actions-d5c32d8073
TaskStatus
conda-linux-x64-cpu-py3Azure
conda-osx-x64-cpu-py3Azure
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@kou, this should be ready IMO - at least, I couldn't find anything in the linter job that's related to this PR.
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+1
@kou
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merged commit 47e438a
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Thanks for fixing the superfluous f-string! :)
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After merging your PR, Conbench analyzed the 6 benchmarking runs that have been run so far on merge-commit 47e438a.
There were no benchmark performance regressions. 🎉
The full Conbench report has more details. It also includes information about possible false positives for unstable benchmarks that are known to sometimes produce them.
loicalleyne pushed a commit
to loicalleyne/arrow
that referenced
this pull request
Nov 13, 2023
@h-vetinari@kou@loicalleyne
apacheGH-15017: [Python] Harden test_memory.py for use with ARROW_USE…
43ace75
…_GLOG=ON (apache#36901)
Accept output pattern for ARROW_USE_GLOG=ON too.
* Closes: apache#15017
Lead-authored-by: H. Vetinari <h.vetinari@gmx.com>
Co-authored-by: Sutou Kouhei <kou@cozmixng.org>
Signed-off-by: Sutou Kouhei <kou@clear-code.com>
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[Python] BUG: two failing tests related to ARROW_DEFAULT_MEMORY_POOL in conda builds on unix


2 participants

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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");
}
} catch(__e) { console.warn('[Userscript:YouTube Theater Mode Default]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

Skip to content
GH-15017: [Python] Harden test_memory.py for use with ARROW_USE_GLOG=ON - #36901
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h-vetinari:glog_test
Jul 28, 2023
Merged
GH-15017: [Python] Harden test_memory.py for use with ARROW_USE_GLOG=ON#36901
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harden test_memory.py for use with ARROW_USE_GLOG=ON
f0fbddf
Suggested-By: Sutou Kouhei <kou@clear-code.com>
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⚠️ GitHub issue #15017has been automatically assigned in GitHub to PR creator.
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Invalid group(s) {'conda-linux-x64-cpu-py3'}. Must be one of {'example-cpp', 'conda', 'test', 'homebrew', 'linux', 'fuzz', 'c-glib', 'verify-rc-source', 'ruby', 'integration', 'verify-rc-source-linux', 'verify-rc-source-macos', 'vcpkg', 'cpp', 'example', 'nightly-tests', 'linux-amd64', 'verify-rc-binaries', 'wheel', 'verify-rc-wheels', 'nightly-packaging', 'python', 'nightly', 'packaging', 'linux-arm64', 'verify-rc', 'example-python', 'conan', 'r', 'nightly-release', 'verify-rc-jars'}
The Archery job run can be found at: https://github.com/apache/arrow/actions/runs/5675632984

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I don't want to run the full barrage of conda-tests here to verify that the tests passes when glog is enabled. One run of conda-{linux,osx}-x64-cpu-py3 would be enough, but I don't know how to do that with the crossbow invocation.
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GH-15017: harden test_memory.py for use with ARROW_USE_GLOG=ONGH-15017: [Python] Harden test_memory.py for use with ARROW_USE_GLOG=ONJul 27, 2023
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Revision: f0fbddf
Submitted crossbow builds: ursacomputing/crossbow @ actions-1537d49ce0
TaskStatus
conda-linux-x64-cpu-py3Azure
conda-osx-x64-cpu-py3Azure
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Revision: 9e394b2
Submitted crossbow builds: ursacomputing/crossbow @ actions-d5c32d8073
TaskStatus
conda-linux-x64-cpu-py3Azure
conda-osx-x64-cpu-py3Azure
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@kou, this should be ready IMO - at least, I couldn't find anything in the linter job that's related to this PR.
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+1
@kou
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merged commit 47e438a
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Thanks for fixing the superfluous f-string! :)
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After merging your PR, Conbench analyzed the 6 benchmarking runs that have been run so far on merge-commit 47e438a.
There were no benchmark performance regressions. 🎉
The full Conbench report has more details. It also includes information about possible false positives for unstable benchmarks that are known to sometimes produce them.
loicalleyne pushed a commit
to loicalleyne/arrow
that referenced
this pull request
Nov 13, 2023
@h-vetinari@kou@loicalleyne
apacheGH-15017: [Python] Harden test_memory.py for use with ARROW_USE…
43ace75
…_GLOG=ON (apache#36901)
Accept output pattern for ARROW_USE_GLOG=ON too.
* Closes: apache#15017
Lead-authored-by: H. Vetinari <h.vetinari@gmx.com>
Co-authored-by: Sutou Kouhei <kou@cozmixng.org>
Signed-off-by: Sutou Kouhei <kou@clear-code.com>
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[Python] BUG: two failing tests related to ARROW_DEFAULT_MEMORY_POOL in conda builds on unix


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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");
}
} catch(__e) { console.warn('[Userscript:Kill Sticky Headers]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

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GH-15017: [Python] Harden test_memory.py for use with ARROW_USE_GLOG=ON - #36901
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kou merged 3 commits into
apache:mainfrom 
h-vetinari:glog_test
Jul 28, 2023
Merged
GH-15017: [Python] Harden test_memory.py for use with ARROW_USE_GLOG=ON#36901
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harden test_memory.py for use with ARROW_USE_GLOG=ON
f0fbddf
Suggested-By: Sutou Kouhei <kou@clear-code.com>
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Invalid group(s) {'conda-linux-x64-cpu-py3'}. Must be one of {'example-cpp', 'conda', 'test', 'homebrew', 'linux', 'fuzz', 'c-glib', 'verify-rc-source', 'ruby', 'integration', 'verify-rc-source-linux', 'verify-rc-source-macos', 'vcpkg', 'cpp', 'example', 'nightly-tests', 'linux-amd64', 'verify-rc-binaries', 'wheel', 'verify-rc-wheels', 'nightly-packaging', 'python', 'nightly', 'packaging', 'linux-arm64', 'verify-rc', 'example-python', 'conan', 'r', 'nightly-release', 'verify-rc-jars'}
The Archery job run can be found at: https://github.com/apache/arrow/actions/runs/5675632984

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I don't want to run the full barrage of conda-tests here to verify that the tests passes when glog is enabled. One run of conda-{linux,osx}-x64-cpu-py3 would be enough, but I don't know how to do that with the crossbow invocation.
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GH-15017: harden test_memory.py for use with ARROW_USE_GLOG=ONGH-15017: [Python] Harden test_memory.py for use with ARROW_USE_GLOG=ONJul 27, 2023
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Revision: f0fbddf
Submitted crossbow builds: ursacomputing/crossbow @ actions-1537d49ce0
TaskStatus
conda-linux-x64-cpu-py3Azure
conda-osx-x64-cpu-py3Azure
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@github-actions crossbow submit conda-linux-x64-cpu-py3 conda-osx-x64-cpu-py3
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Revision: 9e394b2
Submitted crossbow builds: ursacomputing/crossbow @ actions-d5c32d8073
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conda-linux-x64-cpu-py3Azure
conda-osx-x64-cpu-py3Azure
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@kou, this should be ready IMO - at least, I couldn't find anything in the linter job that's related to this PR.
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Thanks for fixing the superfluous f-string! :)
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After merging your PR, Conbench analyzed the 6 benchmarking runs that have been run so far on merge-commit 47e438a.
There were no benchmark performance regressions. 🎉
The full Conbench report has more details. It also includes information about possible false positives for unstable benchmarks that are known to sometimes produce them.
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@h-vetinari@kou@loicalleyne
apacheGH-15017: [Python] Harden test_memory.py for use with ARROW_USE…
43ace75
…_GLOG=ON (apache#36901)
Accept output pattern for ARROW_USE_GLOG=ON too.
* Closes: apache#15017
Lead-authored-by: H. Vetinari <h.vetinari@gmx.com>
Co-authored-by: Sutou Kouhei <kou@cozmixng.org>
Signed-off-by: Sutou Kouhei <kou@clear-code.com>
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[Python] BUG: two failing tests related to ARROW_DEFAULT_MEMORY_POOL in conda builds on unix


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} catch(__e) { console.warn('[Userscript:Universal Dark Mode]', __e); }
})();
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GH-15017: [Python] Harden test_memory.py for use with ARROW_USE_GLOG=ON - #36901
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kou merged 3 commits into
apache:mainfrom 
h-vetinari:glog_test
Jul 28, 2023
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GH-15017: [Python] Harden test_memory.py for use with ARROW_USE_GLOG=ON#36901
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h-vetinari:glog_test
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Jul 27, 2023•

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harden test_memory.py for use with ARROW_USE_GLOG=ON
f0fbddf
Suggested-By: Sutou Kouhei <kou@clear-code.com>
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⚠️ GitHub issue #15017has been automatically assigned in GitHub to PR creator.
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@github-actions crossbow submit -g conda-linux-x64-cpu-py3
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Invalid group(s) {'conda-linux-x64-cpu-py3'}. Must be one of {'example-cpp', 'conda', 'test', 'homebrew', 'linux', 'fuzz', 'c-glib', 'verify-rc-source', 'ruby', 'integration', 'verify-rc-source-linux', 'verify-rc-source-macos', 'vcpkg', 'cpp', 'example', 'nightly-tests', 'linux-amd64', 'verify-rc-binaries', 'wheel', 'verify-rc-wheels', 'nightly-packaging', 'python', 'nightly', 'packaging', 'linux-arm64', 'verify-rc', 'example-python', 'conan', 'r', 'nightly-release', 'verify-rc-jars'}
The Archery job run can be found at: https://github.com/apache/arrow/actions/runs/5675632984

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I don't want to run the full barrage of conda-tests here to verify that the tests passes when glog is enabled. One run of conda-{linux,osx}-x64-cpu-py3 would be enough, but I don't know how to do that with the crossbow invocation.
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@github-actions crossbow submit conda-linux-x64-cpu-py3 conda-osx-x64-cpu-py3
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GH-15017: harden test_memory.py for use with ARROW_USE_GLOG=ONGH-15017: [Python] Harden test_memory.py for use with ARROW_USE_GLOG=ONJul 27, 2023
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Revision: f0fbddf
Submitted crossbow builds: ursacomputing/crossbow @ actions-1537d49ce0
TaskStatus
conda-linux-x64-cpu-py3Azure
conda-osx-x64-cpu-py3Azure
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@github-actions crossbow submit conda-linux-x64-cpu-py3 conda-osx-x64-cpu-py3
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Revision: 9e394b2
Submitted crossbow builds: ursacomputing/crossbow @ actions-d5c32d8073
TaskStatus
conda-linux-x64-cpu-py3Azure
conda-osx-x64-cpu-py3Azure
@h-vetinari
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Jul 27, 2023

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@kou, this should be ready IMO - at least, I couldn't find anything in the linter job that's related to this PR.
kou
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Comment threadpython/pyarrow/tests/test_memory.py
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+1
@kou
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merged commit 47e438a
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Thanks for fixing the superfluous f-string! :)
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After merging your PR, Conbench analyzed the 6 benchmarking runs that have been run so far on merge-commit 47e438a.
There were no benchmark performance regressions. 🎉
The full Conbench report has more details. It also includes information about possible false positives for unstable benchmarks that are known to sometimes produce them.
loicalleyne pushed a commit
to loicalleyne/arrow
that referenced
this pull request
Nov 13, 2023
@h-vetinari@kou@loicalleyne
apacheGH-15017: [Python] Harden test_memory.py for use with ARROW_USE…
43ace75
…_GLOG=ON (apache#36901)
Accept output pattern for ARROW_USE_GLOG=ON too.
* Closes: apache#15017
Lead-authored-by: H. Vetinari <h.vetinari@gmx.com>
Co-authored-by: Sutou Kouhei <kou@cozmixng.org>
Signed-off-by: Sutou Kouhei <kou@clear-code.com>
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[Python] BUG: two failing tests related to ARROW_DEFAULT_MEMORY_POOL in conda builds on unix


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