vault backup: 2025-01-16 10:34:48
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parent
d7043e854a
commit
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@ -13,12 +13,12 @@
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"state": {
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"type": "markdown",
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"state": {
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"file": "組織/EverfortuneAI/{Note} Packaging Python Project.md",
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"file": "組織/EverfortuneAI/{Note} Nox.md",
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"mode": "source",
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"source": false
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},
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"icon": "lucide-file",
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"title": "{Note} Packaging Python Project"
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"title": "{Note} Nox"
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}
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}
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]
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@ -144,9 +144,10 @@
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"obsidian-git:Open Git source control": false
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}
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},
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"active": "e0251782d53c0c60",
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"active": "6dd46505ac5f0579",
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"lastOpenFiles": [
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"組織/EverfortuneAI/{Note} Nox.md",
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"Untitled.md",
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"組織/EverfortuneAI/{Note} Packaging Python Project.md",
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"README.md",
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"Test.md",
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@ -46,4 +46,8 @@ def test_flexibility(session, numpy, scikit_learn):
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# Test
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session.install('pytest')
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session.run('pytest', 'tests', '-v')
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```
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```
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- Issues
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1. 在某些依賴套件組合下,load_model在進行reload測試時會報錯,原因是舊模型與新模型的記憶體位置相同導致AssertionError,但為何會有這樣的差異仍未知
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2. 將nox的venv_backend設為conda,並開啟reuse_venv進行測試,測試一陣子後,會開始出現conda error,猜測原因是reuse的機制出問題,如果是新創造的conda env就沒問題(沒開啟reuse會很耗時,每次都得重建測試環境,目前一個環境的容量約5GB,安裝得花不少時間)
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3. 呈上,若把venv_backend改成預設的venv,在測試一段時間後仍會報錯,原因可能跟上述相同
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