Causes doctest to not care about the module of the raised exception.
This matters because Python3 includes the module in the formatted
exception, but Python3 doesn't, so the doctest will always fail on one
or the other without this flag.
Overhauls `zipline.modelling.visualize` to use in-memory buffers when
shelling out to `dot` and friends.
Also adds `svg`, `png`, and `jpeg` attributes to `TermGraph`, and adds a
`_repr_png_` so that `TermGraph` renders as a PNG by default.
_convert_asset_str_fields was added to address the fact that the
unicode returned by SQLAlchemy was causing test failures, in
particular test_repr and test_root_symbols failed because of the
leading 'u' character in the unicode of python-2.x. Later it was
pointed out that this method would behave differently in python 2
and 3, in particular the str() method would return bytes in python
2 and unicode in python 3. After investigating it was found that
the _convert_asset_str_fields was no longer necessary. It is unclear
why the original tests were failing. It is not due to SQLAlchemy
versions, as tests pass for version >1 and <1.
Change calculate_results to take explicit parameters for sim_params, env
and benchmark_events instead of reading those values off of the TestCase
instance.
This prepares for tests setting specific sim_params in each test case,
which is needed for an incoming refactoring of how the test data is set up.
'instant fill' execution may be on the path to deprecation, (the removal
is currently proposed by the branch which removes events in favor of
operating over dts.), so remove instant_fill from the close position
tests so that the input and output is the same between the proposed
branch and here.
(This was one of the few places where instant fill was used that
was not testing instant fill behavior explicitly, so may be better to
align this test with the rest of the suite.)
Also, change test methods to make it more clear on which day the values
the expected and actual results differed.
- Combine the net value and exposure functions into `calc_net` since
they use the same logic.
- Change the logic to handle on empty list to using the a start value of
0.0. More concise, and reduces the number of return points from the
function to one.
Instead of having two leverage functions, whose differences were the
parameter names, add a `calc_leverage` function, with the calling code
determining whether it is gross or net by the type of exposure passed in.
Instead of calculating the position values for each stat result, e.g.
gross_exposure, net_liquidity etc.; get the positions upfront and then
calculate the period and position stats in order, passing each value
explicitly to the ones that follow it in the dependency chain.
e.g. the gross_value depends on the long_value and the short_value,
which called the position_values property for calculating both the
long_value and the short_value.
Removing the repeated calls to position_values (and
position_exposures) removes the need for the caching the last sale
prices and position amounts in separate vectors, since it is inexpensive
enough to read those values off of the positions dictionary held in the
position tracker.
This patch gives a small gain to ~500 sized portfolios, but the main
intent is to clear the path to not storing last_sale_prices on the
position objects at all. Removing all of the caching layer in this class
makes that change easier to apply. Removing the extra calls to
position_values also made this class easier to step through/reason about
when splicing in the new last sale price access, as well.
lookup_symbol_resolve_multiple was identical to lookup_symbol, except that lookup_symbol performed upper-casing of the input string and lookup_symbol would return Nones. Now, lookup_symbol has a kwarg 'default_None=True' and all symbols are upper-cased on insertion and request.
- Fixes an error where Modeling API data known as of the close of `day
N` would be shown to algorithms during `before_trading_start` as of
the close of the same day. Algorithms should now only receive data
during `before_trading_start/handle_data` that was known as of the
simulation time at which the function would be called.
- All Term instances now have a `mask` attribute that must be a `Filter`
or an instance of `AssetExists()`. `mask` can be used to specify that
a Factor should be computed in a manner that ignores the values that
were not `True` in the mask.
- Changed the interface for `FFCLoader.load_adjusted_array` and
`Term._compute` from `(columns, mask)`, with mask as a DataFrame, to
`(columns, dates, assets, mask)`, where mask is a numpy array. This
is primarily to avoid having to reconstruct extra DataFrames when
using masks produced by non `AssetExists` filters.
- Adds `BoundColumn.latest`, which gives the most-recently-known value
of a column.
All terms just implement `_compute` now. (We reserve `compute` for the
public API of `CustomFactor`.)
Also removed `TestingTermMixin` and its subclasses in favor of just
using `CustomFactor.`
The initialize method of TradingAlgorithm no longer accepts and
silently ignores args and kwargs, but instead forwards them
to the user-defined function referenced by self._initialize.
To avoid passing unexpected arguments to self._initialize, the
following additional adjustments are made:
- pop 'namespace' from the kwargs supplied to TradingAlgorithm
rather than simply get()ing it
- do not pass an AssetFinder to the TradingAlgorithm in
test_modelling_algo.py, as this has been deprecated and will
cause self._initialize to fail
Scott Sanderson