* feat: Fixed the issue with nested unions relying on InitFromBuf.
Problem: Issue #7569
Nested Unions were broken with the introduction of parsing buffers with an initial encoding offset.
Fix:
Revert the InitFromBuf method to the previous version and introduction of InitFromPackedBuf that allows
users to read types from packed buffers applying the offset automatically.
Test:
Added in TestNestedUnionTables to test the encoding and decoding ability using a nested table with a
union field.
* fix: Uncommented generate code command
* feat: Added support for fixed sized arrays to python
Problem:
We encountered that using fixed arrays from C++ to python that python would
not read those arrays correctly due to no size information being encoded in the byte
array itself.
Fix:
Encode the sizes within the generated python file during code generation.
Specfically we add GetArrayAsNumpy to the python version of table, which takes as input
the length of the vector. When generating the python message files we include this length
from the VectorType().fixed_length.
* fix: added digit support for camel case to snake case conversion
Problem:
When including a number in the message name we would encounter cases where SnakeCase would
not add the appropirate breaks. e.g. Int32Stamped -> int_32stamped rather than int_32_stamped.
Fix:
To fix this we can add the condition that we check if the current character is not lower and
not a digit, that we check if the previous character was a lower or digit. If it was a lower
or digit then we add the break.
* fix: Array support for structures
Problem:
The python generated code for handling non-struct and struct vectors
and arrays was inconsistent. The calls to populate the obj api was
creating incorrect code.
Solution:
To fix this the VectorOfStruct and VectorOfNonStruct was rewritten
to handle array cases and bring the two methods in line which each
other.
Testing:
PythonTesting.sh now correctly runs and generates the code for
array_test.fbs.
Minor modifications were done on the test to use the new index
accessor for struct arrays and the script correctly sources the
location of the python code.
* chore: clang format changes
* Added code generated by scripts/generate_code. Modified GetArrayOfNonStruct slightly
to allow for function overloading allowing the user to get a single element of an array
or the whole array.
* Added new_line parameter to OffsetPrefix to allow optional new lines to be added.
This allows us to use the GenIndents method that automatically adds new lines instead.
* Reupload of generated code from the scripts/generate_code.py
* Removed new line in GetVectorAsNumpy.
* Updated Array lengths to use Length methods where possible. Added fallthrough for GenTypePointer. Added digit check to CamelToSnake method. Added and modified tests for ToSnakeCase and CamelToSnake.
* Added range check on the getter methods for vector and array types. Renamed == as is for python
* Enable --gen-onefile in Python
Made it possible to generate all python code in one file. Modified
py_test.py so that it can switch between the multi-file code and
the one-file code.
Updated PythonTest.sh and py_test.py so that the multi-file code
and the one-file code can be tested based on the same test code.
* Sync with google/flatbuffers
* Add --gen-onefile to generate_code.py
* Remove a lot of redundancy from the Python generated code.
Update tutorial to reflect new Python generated code.
* Add aliases for newly deprecated Python generated methods.
This should help with backwards compatibility.
* Fix incorrect names in deprecated comments.
* 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.
Changing to keep include prefixes had two side effects: the main
file being parsed wasn't filtered out anymore, and include directory
paths would be added to the path in the include statement.
Also moved the include_test*.fbs files to sub directories so we
can actually test the handling of -I etc.
tested: on Linux.
Change-Id: Ibae095cea7ab0cccbac15cfb5171719f6b5cad8c
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)
Joshua Smith