misc/py-detecta: New port: Library to detect events in data
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SUBDIR += py-colorbrewer
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SUBDIR += py-colored
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SUBDIR += py-crudini
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SUBDIR += py-detecta
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SUBDIR += py-dictdiffer
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SUBDIR += py-eemeter
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SUBDIR += py-emoji
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misc/py-detecta/Makefile
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misc/py-detecta/Makefile
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PORTNAME= detecta
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DISTVERSION= 0.0.5
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CATEGORIES= misc python
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MASTER_SITES= CHEESESHOP
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PKGNAMEPREFIX= ${PYTHON_PKGNAMEPREFIX}
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MAINTAINER= yuri@FreeBSD.org
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COMMENT= Library to detect events in data
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WWW= https://github.com/demotu/detecta
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LICENSE= APACHE20
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PY_DEPENDS= ${PYTHON_PKGNAMEPREFIX}matplotlib>0:math/py-matplotlib@${PY_FLAVOR} \
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${PYNUMPY}
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BUILD_DEPENDS= ${PY_DEPENDS}
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RUN_DEPENDS= ${PY_DEPENDS}
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USES= python:3.6+
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USE_PYTHON= distutils autoplist
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NO_ARCH= yes
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.include <bsd.port.mk>
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misc/py-detecta/distinfo
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misc/py-detecta/distinfo
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TIMESTAMP = 1672174658
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SHA256 (detecta-0.0.5.tar.gz) = d2ea7d13dfbbc994d6ce385a7f8dc0a85fe675a8a8e712a64ec56e54c40603ed
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SIZE (detecta-0.0.5.tar.gz) = 9301
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misc/py-detecta/pkg-descr
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misc/py-detecta/pkg-descr
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detecta is a Python module to detect events in data.
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The following functions are implemented in detecta:
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* detect_peaks.py: detects peaks in data based on their amplitude and other
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features.
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* detect_onset.py: detects onset in data based on amplitude threshold.
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* detect_cusum.py: detects abrupt changes in data using cumulative sum algorithm
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(CUSUM).
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* detect_seq.py: detects initial and final indices of sequential data identical
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to a parameter.
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