Jhonathan Abreu
bc5d51806d
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* Normalize universe data frames Universe and (generically BaseDataCollection) data frames are not normalize and unpacked into a data frame, instead of just creating data frames with the universe lists within it * Fix unit tests and algorithms to expecte new universe dataframe format * Fixes * Add PandasConverter.DataFrameGenerator class * Pandas data frame generator class fixes * Add comments * Housekeeping * Add attributes to mark classes and properties for pandas processing * Improve pandas properties expanding Allow and handle duplicate names * Use PandasData generalization for Lean common data types * Add points time as column when converting base data collections to data frames * Cleanup and minor changes * Minor change * Pandas data to get type members on demand * Move Pandas helper classes to their own files * Minor changes * Add flatten argument to python history api This allows users to decide whether they want fully expanded dataframes for universe and other collection data types. Else, master behavior is kept * Adding missing changes to last commit * Update Pythonnet version to 2.0.40 * Add flattent argument to algorithm's OptionChain api * Minor changes * Housekeeping * Minor changes * Bug fix skipping data collection data points * Add comment * Set correct exchange time to OptionUniverse instances * Address peer review and cleanup * Cleanup * Minor changes
QuantConnect Testing
Before starting any testing, follow the installation instructions to get LEAN running C# algorithms in your machine. For any Python related tests please ensure you have followed the setup as described here.
If the above installation, build, and initial run was successful than we can move forward to testing.
Visual Studio:
Locating Tests
- Open Visual Studios
- Open Test Explorer ("Test" > "Test Explorer")
- The list should populate itself as it reads all the tests it found during the build process. If not, press "Run All Tests" and let VS find all of the tests.
- From here select the tests you would like to run and begin running them.
Failed Test Logs
- On a failed test, check the test for information by clicking on the desired test and selecting "Open Additional Output"
- This will show the stack trace and where the code failed to meet the testing requirements.
Common Problems
Having .NetFramework issues with testing?
- Install NUnit3TestAdapter for VS
Missing dependencies for Python Algorithm?
- Use pip or conda to install the module.