chore: import upstream snapshot with attribution
This commit is contained in:
@@ -0,0 +1,101 @@
|
||||
/*
|
||||
* QUANTCONNECT.COM - Democratizing Finance, Empowering Individuals.
|
||||
* Lean Algorithmic Trading Engine v2.0. Copyright 2014 QuantConnect Corporation.
|
||||
*
|
||||
* Licensed under the Apache License, Version 2.0 (the "License");
|
||||
* you may not use this file except in compliance with the License.
|
||||
* You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0
|
||||
*
|
||||
* Unless required by applicable law or agreed to in writing, software
|
||||
* distributed under the License is distributed on an "AS IS" BASIS,
|
||||
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
||||
* See the License for the specific language governing permissions and
|
||||
* limitations under the License.
|
||||
*
|
||||
*/
|
||||
|
||||
using System;
|
||||
using NUnit.Framework;
|
||||
using Python.Runtime;
|
||||
using static QLNet.NumericHaganPricer;
|
||||
|
||||
namespace QuantConnect.Tests.Python
|
||||
{
|
||||
[TestFixture]
|
||||
// TODO: Rename to PandasPythonTests, dedicate class to python tests under ./PandasTests directory
|
||||
public class PandasIndexingTests
|
||||
{
|
||||
private dynamic _module;
|
||||
private dynamic _pandasIndexingTests;
|
||||
private dynamic _pandasDataFrameTests;
|
||||
|
||||
[SetUp]
|
||||
public void Setup()
|
||||
{
|
||||
using (Py.GIL())
|
||||
{
|
||||
_module = Py.Import("PandasIndexingTests");
|
||||
_pandasIndexingTests = _module.PandasIndexingTests();
|
||||
_pandasDataFrameTests = _module.PandasDataFrameTests();
|
||||
}
|
||||
}
|
||||
|
||||
[Test]
|
||||
public void IndexingDataFrameWithList()
|
||||
{
|
||||
using (Py.GIL())
|
||||
{
|
||||
Assert.DoesNotThrow((() => _pandasIndexingTests.test_indexing_dataframe_with_list()));
|
||||
}
|
||||
}
|
||||
|
||||
[Test]
|
||||
public void ContainsUserMappedTickers()
|
||||
{
|
||||
using (Py.GIL())
|
||||
{
|
||||
PyObject result = _pandasDataFrameTests.test_contains_user_mapped_ticker();
|
||||
var test = result.As<bool>();
|
||||
|
||||
Assert.IsTrue(test);
|
||||
}
|
||||
}
|
||||
|
||||
[TestCase("SPY WhatEver")]
|
||||
[TestCase("Sharpe ratio")]
|
||||
public void ContainsUserDefinedColumnsWithSpaces(string columnName)
|
||||
{
|
||||
using (Py.GIL())
|
||||
{
|
||||
PyObject result = _pandasDataFrameTests.test_contains_user_defined_columns_with_spaces(columnName);
|
||||
var test = result.As<bool>();
|
||||
|
||||
Assert.IsTrue(test);
|
||||
}
|
||||
}
|
||||
|
||||
[Test]
|
||||
public void ExpectedException()
|
||||
{
|
||||
using (Py.GIL())
|
||||
{
|
||||
PyObject result = _pandasDataFrameTests.test_expected_exception();
|
||||
var exception = result.As<string>();
|
||||
|
||||
Assert.IsTrue(exception.Contains("No key found for either mapped or original key.", StringComparison.InvariantCulture), exception);
|
||||
}
|
||||
}
|
||||
|
||||
[Test]
|
||||
public void ColumnEqualsOnlyMatchingString()
|
||||
{
|
||||
using (Py.GIL())
|
||||
{
|
||||
PyObject result = _pandasDataFrameTests.test_column_equals_only_matching_string();
|
||||
var test = result.As<bool>();
|
||||
|
||||
Assert.IsTrue(test);
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
Reference in New Issue
Block a user