finance/py-ta-lib: Update to 0.4.25
- Change MASTER_SITES to CHEESESHOP - Update COMMENT - Remove PYNUMPY - Update pkg-descr - Take maintainership Changes: https://github.com/mrjbq7/ta-lib/blob/master/CHANGELOG
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PORTNAME= ta-lib
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DISTVERSIONPREFIX= TA_Lib-
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DISTVERSION= 0.4.24
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PORTVERSION= 0.4.25
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CATEGORIES= finance python
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MASTER_SITES= CHEESESHOP
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PKGNAMEPREFIX= ${PYTHON_PKGNAMEPREFIX}
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DISTNAME= TA-Lib-${PORTVERSION}
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MAINTAINER= ports@FreeBSD.org
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COMMENT= Python wrapper for ta-lib (tools for market analysis)
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COMMENT= Python wrapper for TA-Lib (Technical Analysis Library)
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WWW= https://mrjbq7.github.io/ta-lib/
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LICENSE= BSD2CLAUSE
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LICENSE_FILE= ${WRKSRC}/LICENSE
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BUILD_DEPENDS= ${PYNUMPY}
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BUILD_DEPENDS= ${PYTHON_PKGNAMEPREFIX}numpy>=0,1:math/py-numpy@${PY_FLAVOR}
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LIB_DEPENDS= libta_lib.so:devel/ta-lib
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RUN_DEPENDS= ${PYNUMPY}
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RUN_DEPENDS= ${PYTHON_PKGNAMEPREFIX}numpy>=0,1:math/py-numpy@${PY_FLAVOR}
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USES= python:3.6+
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MAKE_ENV= TA_INCLUDE_PATH="${LOCALBASE}/include"
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USE_GITHUB= yes
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GH_ACCOUNT= mrjbq7
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USE_PYTHON= distutils cython autoplist
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USES= localbase python:3.7+
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USE_PYTHON= autoplist concurrent cython distutils
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post-install:
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@${STRIP_CMD} ${STAGEDIR}${PYTHON_SITELIBDIR}/talib/_ta_lib*.so
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${FIND} ${STAGEDIR}${PYTHON_SITELIBDIR} -name '*.so' -exec ${STRIP_CMD} {} +
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.include <bsd.port.mk>
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@ -1,3 +1,3 @@
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TIMESTAMP = 1644165462
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SHA256 (mrjbq7-ta-lib-TA_Lib-0.4.24_GH0.tar.gz) = 63733a3fde73b0ecea3af931c90b0ff95589e9fdb3af5991058933622d6e5434
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SIZE (mrjbq7-ta-lib-TA_Lib-0.4.24_GH0.tar.gz) = 339618
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TIMESTAMP = 1662558054
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SHA256 (TA-Lib-0.4.25.tar.gz) = 6c51c09fcc138367483bcce6db81329ae6851e6ca1a8ac1e50732e443d15602b
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SIZE (TA-Lib-0.4.25.tar.gz) = 271960
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py-ta-lib is a Python wrapper for TA-LIB (a marketing analysis library)
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based on Cython.
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This is a Python wrapper for TA-LIB based on Cython instead of SWIG. From the
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homepage:
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It is intended to perform marketing analysis in Python programs.
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TA-Lib is widely used by trading software developers requiring to perform
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technical analysis of financial market data.
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- Includes 150+ indicators such as ADX, MACD, RSI, Stochastic, Bollinger Bands,
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etc.
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- Candlestick pattern recognition
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- Open-source API for C/C++, Java, Perl, Python and 100% Managed .NET
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The original Python bindings included with TA-Lib use SWIG which unfortunately
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are difficult to install and aren't as efficient as they could be. Therefore
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this project uses Cython and Numpy to efficiently and cleanly bind to TA-Lib --
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producing results 2-4 times faster than the SWIG interface.
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In addition, this project also supports the use of the Polars and Pandas
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libraries.
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