EKF-Diagnostic/sensor-anomalies
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bump dopt_basics to v0.2.0

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Florian Förster 2025-10-23 09:33:09 +02:00
parent 72e6880599
commit 1b44877980
2 changed files with 6 additions and 6 deletions
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10
pdm.lock generated
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@ -5,7 +5,7 @@
groups = ["default", "dev", "lint", "nb", "tests"]
strategy = ["inherit_metadata"]
lock_version = "4.5.0"
content_hash = "sha256:3b6355e97f9ec4986d016609fce5a358357a894972810f07bcedd274117446d2"
content_hash = "sha256:4b2f0f4a1813aaf44b68052d728903f36f705d12f720b52b18e21131ee7b605a"
[[metadata.targets]]
requires_python = ">=3.11,<3.14"
@ -545,7 +545,7 @@ version = "0.4.6"
requires_python = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,!=3.6.*,>=2.7"
summary = "Cross-platform colored terminal text."
groups = ["default", "dev", "nb", "tests"]
marker = "sys_platform == \"win32\" or os_name == \"nt\" or platform_system == \"Windows\""
marker = "os_name == \"nt\" or sys_platform == \"win32\" or platform_system == \"Windows\""
files = [
{file = "colorama-0.4.6-py2.py3-none-any.whl", hash = "sha256:4f1d9991f5acc0ca119f9d443620b77f9d6b33703e51011c16baf57afb285fc6"},
{file = "colorama-0.4.6.tar.gz", hash = "sha256:08695f5cb7ed6e0531a20572697297273c47b8cae5a63ffc6d6ed5c201be6e44"},
@ -904,7 +904,7 @@ files = [
[[package]]
name = "dopt-basics"
version = "0.1.3"
version = "0.2.0"
requires_python = ">=3.11"
summary = "basic cross-project tools for Python-based d-opt projects"
groups = ["default"]
@ -912,8 +912,8 @@ dependencies = [
"tzdata>=2025.1",
]
files = [
{file = "dopt_basics-0.1.3-py3-none-any.whl", hash = "sha256:974c2b442e47f0f05e66ff821ae48a9b12f7b77a8a3bc06fe8ac232e2bc27608"},
{file = "dopt_basics-0.1.3.tar.gz", hash = "sha256:22ba30cbd385cb8929cb6a13fe01e253cd7d9617ef637e41609f2468691450e8"},
{file = "dopt_basics-0.2.0-py3-none-any.whl", hash = "sha256:8aba3d512f6356a6a6bbe4188ad399fd465896a4ad4085008fa53552ecf6096c"},
{file = "dopt_basics-0.2.0.tar.gz", hash = "sha256:116cb40885090bfc02143a874e0b0974bfb9dd61cb725576787e3fd7fda4ffd1"},
]
[[package]]

2
pyproject.toml
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@ -5,7 +5,7 @@ description = "anomaly detection for sensor images for quality assurance process
authors = [
{name = "d-opt GmbH", email = "f.foerster@d-opt.com"},
]
dependencies = ["imutils>=0.5.4", "dopt-basics>=0.1.3", "numpy>=2.2.6", "anomalib[vlm_clip]>=2.1.0", "open-clip-torch>=3.2.0"]
dependencies = ["imutils>=0.5.4", "dopt-basics>=0.2.0", "numpy>=2.2.6", "anomalib[vlm_clip]>=2.1.0", "open-clip-torch>=3.2.0"]
requires-python = "<3.14,>=3.11"
readme = "README.md"
license = {text = "LicenseRef-Proprietary"}