* Flatbuffers Python Object API
Implement the logic to generate the Python object API that can
unpack the data from a buf class into an object class, and pack
the data of an object class to a buf class.
* Fix the build issues
Remove unused parameters and replace auto in the for-loop statement
with std::string to make it compatible with VS2010.
* Fix the build issues.
* Add support for Array type
Added logic to handle Array type in Python Object API. Updated the
generated code accordingly.
* Fix the old style casting from int to char
* Fixed another conversion from int to char
* Fixed the import for typing
Importing typing may cause errors when a machine do not have the
moduel typing installed. This PR fixes the issue by guarding
"import typing" with the "try/except" statement.
* Fix issue of iterating the vector of import list
* Update the generated examples using generate_code.sh
* Fix the import order for typing
The import list was stored in unordered_set, so that each generated
codes may have different import order. Therefore, it failed in the
consistency test where two generated copies need to have exactly the
same apperance.
* Optimize unpack using numpy
Use numpy to unpack vector whenever it is possible to improve unpack
performance.
Also, added codegen command for Python specificly in generate_code.sh,
because --no-includes cannot be turn on for Python.
* Fix the import order
* Update generate_code.bat for windows accordingly
* Replace error message with pass
Avoid printing error message for every Python2 users about typing.
Replace it with pass.
Also fixed most codegenerators using the wrong namespace when multiple
namespace were used in a file, with some files not being generated.
Change-Id: Ib42969221239d7244e431cbd667ef69200fc415f
Tested: on Linux.
Bug: 29338474
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)
