@@ -52,7 +52,7 @@ The following interfaces have been removed, after deprecation in v6.10.
if configured, implicit multithreading within ROOT.
-`NULL` is not defined by `Rtypes.h` anymore. Instead, its definition is expected to be
provided by `Rtype.h`'s `#include` of `stddef.h`.
- ROOT now supports dictionaries for classes with template parameter packs.
- ROOT now supports dictionaries, autoload and autoparse for classes with template parameter packs.
## I/O Libraries
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@@ -84,11 +84,19 @@ large TClonesArray where each element contains another small vector container.
### TDataFrame
- Improved documentation
- Fix race condition: concurrent deletion of TTreeReader/TTreeReaderValue
- Avoid virtual calls for parts of the analysis that are not jitted
- Improve checks for column name validity (throw if column does not exist and if `Define`d column overrides an already existing column)
- Remove "custom column" nodes from the functional graph therewith optimising the traversal
- Add `DefineSlot`, a `Define` transformation that is aware of the multi-threading slot where the workload is executed
- Fixed race condition: concurrent deletion of TTreeReader/TTreeReaderValue
- TDF now avoids performing virtual calls for parts of the analysis that are not jitted
- Improved checks for column name validity (throw if column does not exist and if `Define`d column overrides an already existing column)
- Removed "custom column" nodes from the functional graph therewith optimising the traversal
- Added `DefineSlot`, a `Define` transformation that is aware of the multi-threading slot where the workload is executed
- Improvements in Cling drastically enhanced scaling and performance of TDF jitted code
- Fixed reading of c-style arrays from jitted transformations and actions
- pyROOT users can now easily specify parameters for the TDF histograms thanks to the newly introduced tuple-initialization
- The new TDataSource interface allows developers to pipe any kind of columnar data format into TDataFrame
- Test coverage has been increased with the introduction of google tests
- Users can now configure Snapshot to use different file open modes ("RECREATE" or "UPDATE"), compression level, compression algrotihm, TTree split-level and autoflush settings
- Python tutorials show the new "tuple-initialisation" feature of PyROOT (see below)
- The possibility to read from data sources was added. An interface for all data sources, TDataSource, is provided by ROOT. Two example data sources have been provided too: the TRootDS and the TTrivialDS. The former allows to read via the novel data source mechanism ROOT data, while the latter is a simple generator, created for testing and didactic purposes. It is therefore now possible to interface *any* kind of dataset/data format to ROOT as long as an adaptor which implements the pure virtual methods of the TDataSource interface can be written in C++.
## Histogram Libraries
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@@ -159,6 +167,7 @@ large TClonesArray where each element contains another small vector container.
## Language Bindings
- PyROOT now supports list initialisation with tuples. For example, suppose to have a function `void f(const TH1F& h)`. In C++, this can be invoked with this syntax: `f({"name", "title", 64, -4, 4})`. In PyROOT this translates too `f(('name', 'title', 64, -4, 4))`.
