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+%global _empty_manifest_terminate_build 0
+Name: python-newtulipy
+Version: 0.4.6
+Release: 1
+Summary: Financial Technical Analysis Indicator Library. Python bindings for https://github.com/TulipCharts/tulipindicators
+License: LGPL-3.0
+URL: https://github.com/cryptocoinserver/tulipy
+Source0: https://mirrors.nju.edu.cn/pypi/web/packages/f5/3f/43467bd1b23797ef71dec3180a41e838521fa8a87ce23f44d95396e38514/newtulipy-0.4.6.tar.gz
+
+
+%description
+[![Build Status](https://travis-ci.org/cryptocoinserver/tulipy.svg?branch=master)](https://travis-ci.org/cryptocoinserver/tulipy)
+
+I forked the original repo to add support for 3.9.
+It's on pip. Use `pip install newtulipy`.
+
+# tulipy
+
+## Python bindings for [Tulip Indicators](https://tulipindicators.org/)
+
+Tulipy requires [numpy](http://www.numpy.org/) as all inputs and outputs are numpy arrays (`dtype=np.float64`).
+
+## Installation
+
+You can install via `pip install newtulipy`.
+If a wheel is not available for your system, you will need to `pip install Cython numpy` to build from the source distribution.
+When building from source on Windows, you will need the Microsoft Visual C++ Build Tools installed.
+
+## Usage
+
+
+```python
+import numpy as np
+import tulipy as ti
+```
+
+
+```python
+ti.TI_VERSION
+```
+
+
+
+
+ '0.8.4'
+
+
+
+
+```python
+DATA = np.array([81.59, 81.06, 82.87, 83, 83.61,
+ 83.15, 82.84, 83.99, 84.55, 84.36,
+ 85.53, 86.54, 86.89, 87.77, 87.29])
+```
+
+Information about indicators are exposed as properties:
+
+
+```python
+def print_info(indicator):
+ print("Type:", indicator.type)
+ print("Full Name:", indicator.full_name)
+ print("Inputs:", indicator.inputs)
+ print("Options:", indicator.options)
+ print("Outputs:", indicator.outputs)
+```
+
+
+```python
+print_info(ti.sqrt)
+```
+
+ Type: simple
+ Full Name: Vector Square Root
+ Inputs: ['real']
+ Options: []
+ Outputs: ['sqrt']
+
+
+Single outputs are returned directly. Indicators returning multiple outputs use
+a tuple in the order indicated by the `outputs` property.
+
+
+```python
+ti.sqrt(DATA)
+```
+
+
+
+
+ array([ 9.03271831, 9.00333272, 9.10329611, 9.11043358, 9.14385039,
+ 9.11866218, 9.1016482 , 9.16460583, 9.19510739, 9.18477 ,
+ 9.24824308, 9.30268778, 9.32148057, 9.36856446, 9.34291175])
+
+
+
+
+```python
+print_info(ti.sma)
+```
+
+ Type: overlay
+ Full Name: Simple Moving Average
+ Inputs: ['real']
+ Options: ['period']
+ Outputs: ['sma']
+
+
+
+```python
+ti.sma(DATA, period=5)
+```
+
+
+
+
+ array([ 82.426, 82.738, 83.094, 83.318, 83.628, 83.778, 84.254,
+ 84.994, 85.574, 86.218, 86.804])
+
+
+
+Invalid options will throw an `InvalidOptionError`:
+
+
+```python
+try:
+ ti.sma(DATA, period=-5)
+except ti.InvalidOptionError:
+ print("Invalid Option!")
+```
+
+ Invalid Option!
+
+
+
+```python
+print_info(ti.bbands)
+```
+
+ Type: overlay
+ Full Name: Bollinger Bands
+ Inputs: ['real']
+ Options: ['period', 'stddev']
+ Outputs: ['bbands_lower', 'bbands_middle', 'bbands_upper']
+
+
+
+```python
+ti.bbands(DATA, period=5, stddev=2)
+```
+
+
+
+
+ (array([ 80.53004219, 80.98714192, 82.53334324, 82.47198345,
+ 82.41775044, 82.43520292, 82.51133078, 83.14261781,
+ 83.53648779, 83.8703237 , 85.28887096]),
+ array([ 82.426, 82.738, 83.094, 83.318, 83.628, 83.778, 84.254,
+ 84.994, 85.574, 86.218, 86.804]),
+ array([ 84.32195781, 84.48885808, 83.65465676, 84.16401655,
+ 84.83824956, 85.12079708, 85.99666922, 86.84538219,
+ 87.61151221, 88.5656763 , 88.31912904]))
+
+
+
+If inputs of differing sizes are provided, they are right-aligned and trimmed from the left:
+
+
+```python
+DATA2 = np.array([83.15, 82.84, 83.99, 84.55, 84.36])
+```
+
+
+```python
+# 'high' trimmed to DATA[-5:] == array([ 85.53, 86.54, 86.89, 87.77, 87.29])
+ti.aroonosc(high=DATA, low=DATA2, period=2)
+```
+
+
+
+
+ array([ 50., 100., 50.])
+
+%package -n python3-newtulipy
+Summary: Financial Technical Analysis Indicator Library. Python bindings for https://github.com/TulipCharts/tulipindicators
+Provides: python-newtulipy
+BuildRequires: python3-devel
+BuildRequires: python3-setuptools
+BuildRequires: python3-pip
+BuildRequires: python3-cffi
+BuildRequires: gcc
+BuildRequires: gdb
+%description -n python3-newtulipy
+[![Build Status](https://travis-ci.org/cryptocoinserver/tulipy.svg?branch=master)](https://travis-ci.org/cryptocoinserver/tulipy)
+
+I forked the original repo to add support for 3.9.
+It's on pip. Use `pip install newtulipy`.
+
+# tulipy
+
+## Python bindings for [Tulip Indicators](https://tulipindicators.org/)
+
+Tulipy requires [numpy](http://www.numpy.org/) as all inputs and outputs are numpy arrays (`dtype=np.float64`).
+
+## Installation
+
+You can install via `pip install newtulipy`.
+If a wheel is not available for your system, you will need to `pip install Cython numpy` to build from the source distribution.
+When building from source on Windows, you will need the Microsoft Visual C++ Build Tools installed.
+
+## Usage
+
+
+```python
+import numpy as np
+import tulipy as ti
+```
+
+
+```python
+ti.TI_VERSION
+```
+
+
+
+
+ '0.8.4'
+
+
+
+
+```python
+DATA = np.array([81.59, 81.06, 82.87, 83, 83.61,
+ 83.15, 82.84, 83.99, 84.55, 84.36,
+ 85.53, 86.54, 86.89, 87.77, 87.29])
+```
+
+Information about indicators are exposed as properties:
+
+
+```python
+def print_info(indicator):
+ print("Type:", indicator.type)
+ print("Full Name:", indicator.full_name)
+ print("Inputs:", indicator.inputs)
+ print("Options:", indicator.options)
+ print("Outputs:", indicator.outputs)
+```
+
+
+```python
+print_info(ti.sqrt)
+```
+
+ Type: simple
+ Full Name: Vector Square Root
+ Inputs: ['real']
+ Options: []
+ Outputs: ['sqrt']
+
+
+Single outputs are returned directly. Indicators returning multiple outputs use
+a tuple in the order indicated by the `outputs` property.
+
+
+```python
+ti.sqrt(DATA)
+```
+
+
+
+
+ array([ 9.03271831, 9.00333272, 9.10329611, 9.11043358, 9.14385039,
+ 9.11866218, 9.1016482 , 9.16460583, 9.19510739, 9.18477 ,
+ 9.24824308, 9.30268778, 9.32148057, 9.36856446, 9.34291175])
+
+
+
+
+```python
+print_info(ti.sma)
+```
+
+ Type: overlay
+ Full Name: Simple Moving Average
+ Inputs: ['real']
+ Options: ['period']
+ Outputs: ['sma']
+
+
+
+```python
+ti.sma(DATA, period=5)
+```
+
+
+
+
+ array([ 82.426, 82.738, 83.094, 83.318, 83.628, 83.778, 84.254,
+ 84.994, 85.574, 86.218, 86.804])
+
+
+
+Invalid options will throw an `InvalidOptionError`:
+
+
+```python
+try:
+ ti.sma(DATA, period=-5)
+except ti.InvalidOptionError:
+ print("Invalid Option!")
+```
+
+ Invalid Option!
+
+
+
+```python
+print_info(ti.bbands)
+```
+
+ Type: overlay
+ Full Name: Bollinger Bands
+ Inputs: ['real']
+ Options: ['period', 'stddev']
+ Outputs: ['bbands_lower', 'bbands_middle', 'bbands_upper']
+
+
+
+```python
+ti.bbands(DATA, period=5, stddev=2)
+```
+
+
+
+
+ (array([ 80.53004219, 80.98714192, 82.53334324, 82.47198345,
+ 82.41775044, 82.43520292, 82.51133078, 83.14261781,
+ 83.53648779, 83.8703237 , 85.28887096]),
+ array([ 82.426, 82.738, 83.094, 83.318, 83.628, 83.778, 84.254,
+ 84.994, 85.574, 86.218, 86.804]),
+ array([ 84.32195781, 84.48885808, 83.65465676, 84.16401655,
+ 84.83824956, 85.12079708, 85.99666922, 86.84538219,
+ 87.61151221, 88.5656763 , 88.31912904]))
+
+
+
+If inputs of differing sizes are provided, they are right-aligned and trimmed from the left:
+
+
+```python
+DATA2 = np.array([83.15, 82.84, 83.99, 84.55, 84.36])
+```
+
+
+```python
+# 'high' trimmed to DATA[-5:] == array([ 85.53, 86.54, 86.89, 87.77, 87.29])
+ti.aroonosc(high=DATA, low=DATA2, period=2)
+```
+
+
+
+
+ array([ 50., 100., 50.])
+
+%package help
+Summary: Development documents and examples for newtulipy
+Provides: python3-newtulipy-doc
+%description help
+[![Build Status](https://travis-ci.org/cryptocoinserver/tulipy.svg?branch=master)](https://travis-ci.org/cryptocoinserver/tulipy)
+
+I forked the original repo to add support for 3.9.
+It's on pip. Use `pip install newtulipy`.
+
+# tulipy
+
+## Python bindings for [Tulip Indicators](https://tulipindicators.org/)
+
+Tulipy requires [numpy](http://www.numpy.org/) as all inputs and outputs are numpy arrays (`dtype=np.float64`).
+
+## Installation
+
+You can install via `pip install newtulipy`.
+If a wheel is not available for your system, you will need to `pip install Cython numpy` to build from the source distribution.
+When building from source on Windows, you will need the Microsoft Visual C++ Build Tools installed.
+
+## Usage
+
+
+```python
+import numpy as np
+import tulipy as ti
+```
+
+
+```python
+ti.TI_VERSION
+```
+
+
+
+
+ '0.8.4'
+
+
+
+
+```python
+DATA = np.array([81.59, 81.06, 82.87, 83, 83.61,
+ 83.15, 82.84, 83.99, 84.55, 84.36,
+ 85.53, 86.54, 86.89, 87.77, 87.29])
+```
+
+Information about indicators are exposed as properties:
+
+
+```python
+def print_info(indicator):
+ print("Type:", indicator.type)
+ print("Full Name:", indicator.full_name)
+ print("Inputs:", indicator.inputs)
+ print("Options:", indicator.options)
+ print("Outputs:", indicator.outputs)
+```
+
+
+```python
+print_info(ti.sqrt)
+```
+
+ Type: simple
+ Full Name: Vector Square Root
+ Inputs: ['real']
+ Options: []
+ Outputs: ['sqrt']
+
+
+Single outputs are returned directly. Indicators returning multiple outputs use
+a tuple in the order indicated by the `outputs` property.
+
+
+```python
+ti.sqrt(DATA)
+```
+
+
+
+
+ array([ 9.03271831, 9.00333272, 9.10329611, 9.11043358, 9.14385039,
+ 9.11866218, 9.1016482 , 9.16460583, 9.19510739, 9.18477 ,
+ 9.24824308, 9.30268778, 9.32148057, 9.36856446, 9.34291175])
+
+
+
+
+```python
+print_info(ti.sma)
+```
+
+ Type: overlay
+ Full Name: Simple Moving Average
+ Inputs: ['real']
+ Options: ['period']
+ Outputs: ['sma']
+
+
+
+```python
+ti.sma(DATA, period=5)
+```
+
+
+
+
+ array([ 82.426, 82.738, 83.094, 83.318, 83.628, 83.778, 84.254,
+ 84.994, 85.574, 86.218, 86.804])
+
+
+
+Invalid options will throw an `InvalidOptionError`:
+
+
+```python
+try:
+ ti.sma(DATA, period=-5)
+except ti.InvalidOptionError:
+ print("Invalid Option!")
+```
+
+ Invalid Option!
+
+
+
+```python
+print_info(ti.bbands)
+```
+
+ Type: overlay
+ Full Name: Bollinger Bands
+ Inputs: ['real']
+ Options: ['period', 'stddev']
+ Outputs: ['bbands_lower', 'bbands_middle', 'bbands_upper']
+
+
+
+```python
+ti.bbands(DATA, period=5, stddev=2)
+```
+
+
+
+
+ (array([ 80.53004219, 80.98714192, 82.53334324, 82.47198345,
+ 82.41775044, 82.43520292, 82.51133078, 83.14261781,
+ 83.53648779, 83.8703237 , 85.28887096]),
+ array([ 82.426, 82.738, 83.094, 83.318, 83.628, 83.778, 84.254,
+ 84.994, 85.574, 86.218, 86.804]),
+ array([ 84.32195781, 84.48885808, 83.65465676, 84.16401655,
+ 84.83824956, 85.12079708, 85.99666922, 86.84538219,
+ 87.61151221, 88.5656763 , 88.31912904]))
+
+
+
+If inputs of differing sizes are provided, they are right-aligned and trimmed from the left:
+
+
+```python
+DATA2 = np.array([83.15, 82.84, 83.99, 84.55, 84.36])
+```
+
+
+```python
+# 'high' trimmed to DATA[-5:] == array([ 85.53, 86.54, 86.89, 87.77, 87.29])
+ti.aroonosc(high=DATA, low=DATA2, period=2)
+```
+
+
+
+
+ array([ 50., 100., 50.])
+
+%prep
+%autosetup -n newtulipy-0.4.6
+
+%build
+%py3_build
+
+%install
+%py3_install
+install -d -m755 %{buildroot}/%{_pkgdocdir}
+if [ -d doc ]; then cp -arf doc %{buildroot}/%{_pkgdocdir}; fi
+if [ -d docs ]; then cp -arf docs %{buildroot}/%{_pkgdocdir}; fi
+if [ -d example ]; then cp -arf example %{buildroot}/%{_pkgdocdir}; fi
+if [ -d examples ]; then cp -arf examples %{buildroot}/%{_pkgdocdir}; fi
+pushd %{buildroot}
+if [ -d usr/lib ]; then
+ find usr/lib -type f -printf "/%h/%f\n" >> filelist.lst
+fi
+if [ -d usr/lib64 ]; then
+ find usr/lib64 -type f -printf "/%h/%f\n" >> filelist.lst
+fi
+if [ -d usr/bin ]; then
+ find usr/bin -type f -printf "/%h/%f\n" >> filelist.lst
+fi
+if [ -d usr/sbin ]; then
+ find usr/sbin -type f -printf "/%h/%f\n" >> filelist.lst
+fi
+touch doclist.lst
+if [ -d usr/share/man ]; then
+ find usr/share/man -type f -printf "/%h/%f.gz\n" >> doclist.lst
+fi
+popd
+mv %{buildroot}/filelist.lst .
+mv %{buildroot}/doclist.lst .
+
+%files -n python3-newtulipy -f filelist.lst
+%dir %{python3_sitearch}/*
+
+%files help -f doclist.lst
+%{_docdir}/*
+
+%changelog
+* Fri May 05 2023 Python_Bot <Python_Bot@openeuler.org> - 0.4.6-1
+- Package Spec generated
generated by cgit v1.2.3 (git 2.25.1) at 2025-12-19 15:35:51 +0000