Allows ``__funcname`` to be passed to preprocessors like expect_types
and expect_dtypes to override the name displayed in error messages.
This is useful for providing clearer errors for ``__init__`` and
``__new__`` methods in classes.
Add `chain`field to current, as well as supporting methods in DataPortal
and OrderedContracts.
Enables the following example:
```
from zipline.api import continuous_future
def initialize(context):
context.primary_cl = continuous_future('CL', offset=0, roll='calendar')
schedule_function(print_current_chain)
def print_current_chain(context, data):
chain = data.current_chain(context.primary_cl)
print 'datetime={0}'.format(get_datetime())
print 'primary={0}'.format(chain[0])
print 'secondary={0}'.format(chain[1])
print 'tertiary={0}'.format(chain[2])
```
```
datetime=2015-12-23 14:31:00+00:00
primary=Future(1058201602 [CLG16])
secondary=Future(1058201603 [CLH16])
tertiary=Future(1058201604 [CLJ16])
```
Also:
- make return types of OrderedContracts methods compatible across
architectures. (Noticed while adding `active_chain` method.)
- Add year suffix to future contract names in test data.
Add the ability for an algorithm to request the current contract for a
future chain via `data.current`.
e.g.:
```
data.current(ContinuousFuture('CL', offset=0, roll='calendar'),
'contract')
```
This allows optionally setting the last available dts in the DataPortal
explicitly. If these args aren't provided, we fall back to inferring
these from the underlying readers, which was the previous behavior.
When dispatching to sub readers in dispatch reader, pass along the asset
object, instead of extracting the sid.
The in development reader for continuous futures values besides `sid`
are needed from the `ContinuousFuture` object.
In days_at_time, use a Timedelta instead of a DateOffset. We were
previously using DateOffset to work around a pandas 16 bug even though
it raises a PerformanceWarning. Now that we're on pandas 18, we can use
the much simpler Timedelta construction.
- Use parameter_space instead of `parameterized.expand`.
- Use a timedelta instead of concatenating strings.
- Use a (possibly no-op) scramble function instead of reordering list
literals.
- Use `freeze_dt, unfreeze_dt, re_freeze_dt` instead of `dts[n]`.
- Rename `assert_vectorized_results` to `assert_all_restrictions`.
In favor of a new method `set_restrictions` which takes a Restrictions
object. Calls to `set_do_not_order_list` should raise a deprecation
warning and create an equivalent Restrictions object, with which
`set_restrictions` will be called. For convenience, create a
RestrictionsSet from which the "restrictions" version of a security
list can be accessed
Introducing a WithCreateBarData fixture which allows for the
creation of a BarData using only the `simulation_dt_func` and
`restrictions` params. Assumes that each suite uses the same
`data_portal`, `data_frequency` and `trading_calendar`
The SecurityList implements a non-exposed method
`current_securities(dt)` which SecurityListRestrictions calls to
determine if an asset is restricted. Deprecate the `__iter__` and
`__contains__` methods of security lists in favor of
`current_securities(dt)`
An ABC Restrictions defines a group of restrictions responsible
for returning restriction information for sids on certain dts. An
InMemoryRestrictions is a point-in-time group of such restrictions,
with all restrictions and their dates passed in upon instantiation.
A StaticRestrictedList takes a list of sids, restricting them at all
dates
Scott Sanderson