Also, remove execute permissions on several source files.
Tested: Builds on Visual Studio 2012, and Linux.
Change-Id: Idaacb2ae8eba98ce2974218c2ab840e97a1d67e9
Usually generators add @SuppressWarnings("all") to generated Java
classes to prevent IDEs from complaining about unused imports, etc.
Solving used imports seems pretty hard with current generator logic so
IMO this is the next best thing.
Yes, it’s appended to import block but that is the block that gives
these warnings in the first place.
When creating a CreateXxx(...) method for a simple table type,
enum-type fields with a non-zero default must have an explicit
cast for the respective argument default value, because in C#,
there is an implicit cast from int to an enum only for 0.
Also, added an example of such type into the example monster_test
type, so that we test this feature.
Also, removed the flag from the Android makefile.
Tested:
Verified flatc builds successfully on Linux and regenerated the docs.
Change-Id: I7140daa10b7cb9a29b5ffd63c6b20489e72a5899
This pull request should fix#232.
Pass field name instead of struct name as nameprefix for nested structures. Continuously concatenate nameprefix arguments to support deeper nested structures.
Normal behavior is to not output fields that happen to have
the default value, since those will be reproduced anyway
when turned into a FlatBuffer binary. This however can be problematic
when using JSON to interop with other system since they might not
know this default value. This flatc option (and also flag
to GenerateText) will force those fields to be output anyway.
Tested: on Linux.
Implement code generation and self-contained runtime library for Python.
The test suite verifies:
- Correctness of generated Python code by comparing output to that of
the other language ports.
- The exact bytes in the Builder buffer during many scenarios.
- Vtable deduplication correctness.
- Edge cases for table construction, via a fuzzer derived from the Go
implementation.
- All code is simultaneously valid in Python 2.6, 2.7, and 3.4.
The test suite includes benchmarks for:
- Building 'gold' data.
- Parsing 'gold' data.
- Deduplicating vtables.
All tests pass on this author's system for the following Python
implementations:
- CPython 2.6.7
- CPython 2.7.8
- CPython 3.4.2
- PyPy 2.5.0 (CPython 2.7.8 compatible)
