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math/py-qats: New port: Library for efficient processing and visualiz…
…ation of time series
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PORTNAME= qats | ||
DISTVERSION= 4.11.1 | ||
CATEGORIES= math | ||
MASTER_SITES= PYPI | ||
PKGNAMEPREFIX= ${PYTHON_PKGNAMEPREFIX} | ||
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MAINTAINER= yuri@FreeBSD.org | ||
COMMENT= Library for efficient processing and visualization of time series | ||
WWW= https://github.com/dnvgl/qats | ||
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LICENSE= MIT | ||
LICENSE_FILE= ${WRKSRC}/LICENSE | ||
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BUILD_DEPENDS= ${PYTHON_PKGNAMEPREFIX}setuptools_scm>=3.4.3:devel/py-setuptools_scm@${PY_FLAVOR} \ | ||
${PYTHON_PKGNAMEPREFIX}sphinx>0:textproc/py-sphinx@${PY_FLAVOR} \ | ||
${PYTHON_PKGNAMEPREFIX}wheel>0:devel/py-wheel@${PY_FLAVOR} | ||
RUN_DEPENDS= ${PYTHON_PKGNAMEPREFIX}QtPy>=1.9.0:devel/py-QtPy@${PY_FLAVOR} \ | ||
${PYTHON_PKGNAMEPREFIX}furo>=2022.12.7:textproc/py-furo@${PY_FLAVOR} \ | ||
${PYTHON_PKGNAMEPREFIX}h5py>0:science/py-h5py@${PY_FLAVOR} \ | ||
${PYTHON_PKGNAMEPREFIX}matplotlib>0:math/py-matplotlib@${PY_FLAVOR} \ | ||
${PYTHON_PKGNAMEPREFIX}myst-parser>=0.18.1:textproc/py-myst-parser@${PY_FLAVOR} \ | ||
${PYTHON_PKGNAMEPREFIX}npTDMS>=1.1.0:misc/py-npTDMS@${PY_FLAVOR} \ | ||
${PYNUMPY} \ | ||
${PYTHON_PKGNAMEPREFIX}openpyxl>=3.0.5:textproc/py-openpyxl@${PY_FLAVOR} \ | ||
${PYTHON_PKGNAMEPREFIX}pandas>0:math/py-pandas@${PY_FLAVOR} \ | ||
${PYTHON_PKGNAMEPREFIX}pymatreader>=0.0.24:misc/py-pymatreader@${PY_FLAVOR} \ | ||
${PYTHON_PKGNAMEPREFIX}pyside2>=5.15.2:devel/pyside2@${PY_FLAVOR} \ | ||
${PYTHON_PKGNAMEPREFIX}scipy>=1.7.2:science/py-scipy@${PY_FLAVOR} | ||
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USES= pyqt:5 python | ||
USE_PYTHON= distutils concurrent autoplist pytest | ||
USE_PYQT= pyqt5 | ||
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NO_ARCH= yes | ||
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.include <bsd.port.mk> |
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TIMESTAMP = 1689899243 | ||
SHA256 (qats-4.11.1.tar.gz) = 63766918714dc71087bf4af4d357eb11ce5dddd910d0dae3421134e91acb7a44 | ||
SIZE (qats-4.11.1.tar.gz) = 51717904 |
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--- qats/app/gui.py.orig 2023-01-03 17:37:48 UTC | ||
+++ qats/app/gui.py | ||
@@ -48,7 +48,7 @@ LOGGING_LEVELS = dict( | ||
if sys.platform == "win32": | ||
SETTINGS_FILE = os.path.join(os.getenv("APPDATA", os.getenv("USERPROFILE", "")), "qats.settings") | ||
else: | ||
- SETTINGS_FILE = os.path.join("var", "lib", "qats.settings") | ||
+ SETTINGS_FILE = os.path.join("/home", os.getlogin(), ".config", "qats.settings") | ||
ICON_FILE = resource_filename("qats.app", "qats.ico") | ||
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STATS_ORDER = ["name", "min", "max", "mean", "std", "skew", "kurt", "tz", "wloc", "wscale", "wshape", |
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--- requirements.txt.orig 2023-07-21 05:35:07 UTC | ||
+++ requirements.txt | ||
@@ -1,12 +1,12 @@ | ||
-h5py>=3.5.0, <=3.7.0 | ||
+h5py>=3.5.0 | ||
pymatreader==0.0.24 | ||
-matplotlib>=3.3.3, <=3.6 | ||
+matplotlib>=3.3.3 | ||
npTDMS==1.1.0 | ||
-numpy>=1.21.6, <=1.24.* | ||
+numpy>=1.21.6 | ||
openpyxl==3.0.5 | ||
-pandas>=1.1.4, <=1.5 | ||
+pandas>=1.1.4 | ||
QtPy==1.9.0 | ||
-pyside2>=5.15.2, <5.16 | ||
+pyside2>=5.15.2 | ||
PyQt5>=5.15.2, <=5.15.7 | ||
scipy>=1.7.2, <=1.9.2 # in accordance with https://docs.scipy.org/doc/scipy/dev/toolchain.html#numpy | ||
setuptools-scm>=7.1.0, <=8 |
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--- setup.py.orig 2023-07-21 05:37:29 UTC | ||
+++ setup.py | ||
@@ -22,15 +22,15 @@ setup( | ||
python_requires=">=3.7, <3.11", | ||
setup_requires=["setuptools_scm"], | ||
install_requires=[ | ||
- "numpy>=1,<2", | ||
- "openpyxl>=3,<4", | ||
- "scipy>=1,<2", | ||
- "matplotlib>=3,<4", | ||
- "npTDMS>=1,<2", | ||
- "h5py>=2.7,<4", | ||
- "QtPy>=1,<2", | ||
- "pandas>=1,<2", | ||
- "pymatreader>=0.0.20,<1", | ||
+ "numpy>=1", | ||
+ "openpyxl>=3", | ||
+ "scipy>=1", | ||
+ "matplotlib>=3", | ||
+ "npTDMS>=1", | ||
+ "h5py>=2.7", | ||
+ "QtPy>=1", | ||
+ "pandas>=1", | ||
+ "pymatreader>=0.0.20", | ||
"pywin32; platform_system == 'Windows'" | ||
], | ||
entry_points={ |
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QATS is a Python library and GUI for efficient processing and visualization | ||
of time series. | ||
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QATS provides tools for: | ||
* Import and export from/to various pre-defined time series file formats | ||
* Signal processing | ||
* Inferring statistical distributions | ||
* Cycle counting using the Rainflow algorithm | ||
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It was originally created to handle time series files exported from SIMO and | ||
RIFLEX. Now it also handles SIMA hdf5 (.h5) files, Matlab (version < 7.3) | ||
.mat files, CSV files and more. | ||
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QATS also features a GUI which offers efficient and low threshold processing | ||
and visualization of time series. It is perfect for inspecting, comparing and | ||
reporting: | ||
* time series | ||
* power spectral density distributions | ||
* peak and extreme distributions | ||
* cycle distributions |