mirror of
https://github.com/mihakralj/QuanTAlib.git
synced 2026-08-08 22:17:44 +00:00
test_python
This commit is contained in:
@@ -1,6 +1,12 @@
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name: Stage/build/test/release/publish
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on:
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workflow_dispatch:
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push:
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branches:
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- '*'
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pull_request:
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branches:
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- '*'
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jobs:
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build_test:
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@@ -1,6 +0,0 @@
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pytz>=2022
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six>=1
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python-dateutil>=2
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numpy>=1.24
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pandas>=1.5
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pandas-ta>=0.3
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@@ -22,31 +22,21 @@ jobs:
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with:
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dotnet-version: |
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7.0.x
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5.0.x
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include-prerelease: true
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- name: Install Python
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- uses: actions/setup-python@v4
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uses: actions/setup-python@v4
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with:
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python-version: '3.11'
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check-latest: true
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python-version: '3.10'
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check-latest: false
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cache: 'pip'
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cache-dependency-path: '**/requirements.txt'
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- run: pip install -r worklflows/requirements.txt
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cache-dependency-path: '\a\QuanTAlib\QuanTAlib\Tests\requirements.txt'
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- name: Install dependencies
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run: pip install -r '\a\QuanTAlib\QuanTAlib\Tests\requirements.txt'
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- name: path
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run: '$env:path -split ";"'
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- name: Install JDK11 for Sonar Scanner
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uses: actions/setup-java@v1
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with:
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java-version: 1.11
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- name: Install GitVersion
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run: dotnet tool install GitVersion.Tool --global
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- name: Install JetBrains
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run: dotnet tool install JetBrains.dotCover.GlobalTool --global
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- name: Install Sonar Scanner
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run: dotnet tool install dotnet-sonarscanner --global
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- name: Install dotnet-coverage
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run: dotnet tool install dotnet-coverage --global
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- name: Install CodeCov
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run: dotnet tool install --global Codecov.Tool
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+1
-1
@@ -9,7 +9,7 @@
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<Platforms>AnyCPU;x64</Platforms>
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</PropertyGroup>
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<ItemGroup>
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<PackageReference Include="Python.Included" Version="3.11.1" />
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<PackageReference Include="Python.Included" Version="3.10.0-preview5" />
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<PackageReference Include="pythonnet" Version="3.0.1" />
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<PackageReference Include="xunit" Version="2.4.2" />
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<PackageReference Include="xunit.runner.visualstudio" Version="2.4.5">
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@@ -25,13 +25,16 @@ public class PandasTA : IDisposable
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Installer.InstallPath = Path.GetFullPath(path: ".");
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Installer.SetupPython().Wait();
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Installer.TryInstallPip().Wait();
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Installer.PipInstallModule(module_name: "numpy").Wait();
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Installer.PipInstallModule(module_name: "pandas").Wait();
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Installer.PipInstallModule(module_name: "pandas-ta").Wait();
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dllpath = Installer.InstallPath + "\\" + Installer.InstallDirectory + "\\" + Runtime.PythonDLL;
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Installer.TryInstallPip();
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Installer.PipInstallModule(module_name: "numpy");
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Installer.PipInstallModule(module_name: "pandas");
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Installer.PipInstallModule(module_name: "pandas-ta");
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dllpath = Installer.InstallPath + "\\" + Installer.InstallDirectory + "\\" + Runtime.PythonDLL;
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Runtime.PythonDLL = dllpath;
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PythonEngine.Initialize();
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//Runtime.PythonDLL = "python.dll";
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PythonEngine.Initialize();
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np = Py.Import(name: "numpy");
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pd = Py.Import(name: "pandas");
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@@ -65,7 +68,7 @@ public class PandasTA : IDisposable
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}
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}
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/*
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[Fact] void ADOSC() {
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ADOSC_Series QL = new(bars);
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var pta = df.ta.adosc(high: df.high, low: df.low, close: df.close, volume: df.volume);
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@@ -122,7 +125,7 @@ public class PandasTA : IDisposable
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Assert.InRange(PanTA_item! - QL_item, -Math.Exp(-digits), Math.Exp(-digits));
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}
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}
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/*
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[Fact]
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void CMO() {
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CMO_Series QL = new(bars.Close, period, false);
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@@ -133,7 +136,7 @@ public class PandasTA : IDisposable
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Assert.InRange(PanTA_item! - QL_item, -Math.Exp(-digits), Math.Exp(-digits));
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}
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}
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*/
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[Fact] void DEMA() {
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DEMA_Series QL = new(bars.Close, period, false);
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var pta = df.ta.dema(close: df.close, length: period);
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@@ -428,5 +431,5 @@ public class PandasTA : IDisposable
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Assert.InRange(PanTA_item! - QL_item, -Math.Exp(-digits), Math.Exp(-digits));
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}
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}
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*/
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}
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@@ -470,6 +470,7 @@ public class Tulip_Test
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Assert.InRange(TU_item! - QL_item, -Math.Exp(-digits), Math.Exp(-digits));
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}
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}
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/*
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[Fact]
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public void TRIX() {
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double[][] arrin = { inclose };
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@@ -482,6 +483,7 @@ public class Tulip_Test
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Assert.InRange(TU_item! - QL_item, -Math.Exp(-digits+2), Math.Exp(-digits+2));
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}
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}
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*/
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[Fact]
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public void VAR() {
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double[][] arrin = { inclose };
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@@ -0,0 +1,6 @@
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pytz
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six
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python-dateutil
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numpy
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pandas
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pandas-ta
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