Adds static methods of the form Parse.<TypeName>(string str) that use
CultureInfo.InvariantCulture. These are to be used when parsing strings.
It's still safe (from the CA1304/CA1305 perspective) to use the ToDecimal
extension method for decimals.
Adds string extension methods for common operations that will now require
CultureInfo.InvariantCulture. These are to be used when converting values
to strings, such as ToStringInvariant()/ToStringInvariant(format), but also
useful for searching within strings, StartsWithInvariant, EndsWithInvariant
and IndexOfInvariant.
FxCop has various rulesets for enforcing things within our codebase.
For this particular issue, we'll be enforcing CA1304 and CA1305 to
ensure we're always using an IFormatProvider or a CultureInfo where
applicable.
Linked Issue: #3045
- Updates PythonNet to 1.0.5.17
- Improve performance by adding new `interop` `type` cache holding a `bool`, true if its an `exception`. And adding a `setter` and `getter` cache for the `propertyobject`. Closes#2925.
- Decimal parsing allows numeric string in exponential notation. Closes#2918#2919.
Closes#2929
- Requires a new PythonNet 1.0.5.15 package where the different `.dll` are in a
specific folder: `\win` `\linux` and `\osx`
- Removed not present `decimal.py` from `Algorithm.Python` project. It
was moved into `Common`.
- Replace `xbuild` for `msbuild` required for using the `System.Runtime.InteropServices`.
Also note the `xbuild` on travis prints:
> >>>> xbuild tool is deprecated and will be removed in future updates, use msbuild instead <<<<
In the new package:
- C# decimal conversion will use C# double and python float due to the big performance impact of converting C# decimal to python decimal;
- Moves `PearsonCorrelationPairsTradingAlphaModel` class to its own file in order to make it available as a framework model.
- Follows existing pattern design that alpha models receive a lookback and a `Resolution` object.
- Algorithm implements `IRegressionAlgorithmDefinition`.
- Adds log to display the python version the algorithm is using.
- Fixes python algorithms that were failing because of small subtleties
like leading zeroes.
- Updates pythonnet with a version compiled with python 3.6 flags
- Changes in DockerfileFoundation: we now use miniconda to manage the python
environment.
- Took the opportunity to add NTLK (#1349), Tensorforce (#1369) and
PyTorch/Pyro (#1385).
- Changes readme in Algorithm.Python to show steps to install miniconda
In this update, methods overloads with decimal parameters accept python float.
- Fixes FractionalQuantityRegressionAlgorithm:
With the pythonnet update we can pass a python float where a decimal is required.
It's not unreasonable to think users will provide their own ISignal implementation
and we'll want them all behaving by the same serialization rules to make consumption
much easier.
Martin Molinero