EKF-Diagnostic/sensor-anomalies
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upgrade dopt-basics to newest release to use CLI spinning animation

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Florian Förster 2025-11-11 10:11:10 +01:00
parent 5037e7733b
commit 04a75838e6
2 changed files with 9 additions and 8 deletions
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14
pdm.lock generated
View File

@ -5,7 +5,7 @@
groups = ["default", "dev", "lint", "nb", "tests"] groups = ["default", "dev", "lint", "nb", "tests"]
strategy = ["inherit_metadata"] strategy = ["inherit_metadata"]
lock_version = "4.5.0" lock_version = "4.5.0"
content_hash = "sha256:4b2f0f4a1813aaf44b68052d728903f36f705d12f720b52b18e21131ee7b605a" content_hash = "sha256:2d4e7f16674111930c2b086fcc38a75340a0fe6373dcda206b781a3bb05e73cc"
[[metadata.targets]] [[metadata.targets]]
requires_python = ">=3.11,<3.14" requires_python = ">=3.11,<3.14"
@ -904,7 +904,7 @@ files = [
[[package]] [[package]]
name = "dopt-basics" name = "dopt-basics"
version = "0.2.0" version = "0.2.4"
requires_python = ">=3.11" requires_python = ">=3.11"
summary = "basic cross-project tools for Python-based d-opt projects" summary = "basic cross-project tools for Python-based d-opt projects"
groups = ["default"] groups = ["default"]
@ -912,8 +912,8 @@ dependencies = [
"tzdata>=2025.1", "tzdata>=2025.1",
] ]
files = [ files = [
{file = "dopt_basics-0.2.0-py3-none-any.whl", hash = "sha256:8aba3d512f6356a6a6bbe4188ad399fd465896a4ad4085008fa53552ecf6096c"}, {file = "dopt_basics-0.2.4-py3-none-any.whl", hash = "sha256:b7d05b80dde1f856b352580aeac500fc7505e4513ed162791d8735cdc182ebc1"},
{file = "dopt_basics-0.2.0.tar.gz", hash = "sha256:116cb40885090bfc02143a874e0b0974bfb9dd61cb725576787e3fd7fda4ffd1"}, {file = "dopt_basics-0.2.4.tar.gz", hash = "sha256:c21fbe183bec5eab4cfd1404e10baca670035801596960822d0019e6e885983f"},
] ]
[[package]] [[package]]
@ -3503,7 +3503,7 @@ files = [
[[package]] [[package]]
name = "rich" name = "rich"
version = "14.1.0" version = "14.2.0"
requires_python = ">=3.8.0" requires_python = ">=3.8.0"
summary = "Render rich text, tables, progress bars, syntax highlighting, markdown and more to the terminal" summary = "Render rich text, tables, progress bars, syntax highlighting, markdown and more to the terminal"
groups = ["default", "dev"] groups = ["default", "dev"]
@ -3512,8 +3512,8 @@ dependencies = [
"pygments<3.0.0,>=2.13.0", "pygments<3.0.0,>=2.13.0",
] ]
files = [ files = [
{file = "rich-14.1.0-py3-none-any.whl", hash = "sha256:536f5f1785986d6dbdea3c75205c473f970777b4a0d6c6dd1b696aa05a3fa04f"}, {file = "rich-14.2.0-py3-none-any.whl", hash = "sha256:76bc51fe2e57d2b1be1f96c524b890b816e334ab4c1e45888799bfaab0021edd"},
{file = "rich-14.1.0.tar.gz", hash = "sha256:e497a48b844b0320d45007cdebfeaeed8db2a4f4bcf49f15e455cfc4af11eaa8"}, {file = "rich-14.2.0.tar.gz", hash = "sha256:73ff50c7c0c1c77c8243079283f4edb376f0f6442433aecb8ce7e6d0b92d1fe4"},
] ]
[[package]] [[package]]

3
pyproject.toml
View File

@ -5,7 +5,7 @@ description = "anomaly detection for sensor images for quality assurance process
authors = [ authors = [
{name = "d-opt GmbH (resp.: Florian Foerster)", email = "f.foerster@d-opt.com"}, {name = "d-opt GmbH (resp.: Florian Foerster)", email = "f.foerster@d-opt.com"},
] ]
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"] dependencies = ["imutils>=0.5.4", "dopt-basics>=0.2.4", "numpy>=2.2.6", "anomalib[vlm_clip]>=2.1.0", "open-clip-torch>=3.2.0"]
requires-python = "<3.14,>=3.11" requires-python = "<3.14,>=3.11"
readme = "README.md" readme = "README.md"
license = {text = "LicenseRef-Proprietary"} license = {text = "LicenseRef-Proprietary"}
@ -149,6 +149,7 @@ dev = [
"cython>=3.1.4", "cython>=3.1.4",
"setuptools>=80.9.0", "setuptools>=80.9.0",
"build>=1.3.0", "build>=1.3.0",
"rich>=14.2.0",
] ]
nb = [ nb = [
"jupyterlab>=4.3.5", "jupyterlab>=4.3.5",