flatbuffers/tests/namespace_test/NamespaceA/TableInFirstNS.py

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2016-05-26 13:26:58 +00:00
# automatically generated by the FlatBuffers compiler, do not modify
# namespace: NamespaceA
import flatbuffers
Flatbuffers Python Object API (#5616) * 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.
2019-12-02 22:11:28 +00:00
from flatbuffers.compat import import_numpy
np = import_numpy()
class TableInFirstNS(object):
__slots__ = ['_tab']
@classmethod
def GetRootAsTableInFirstNS(cls, buf, offset):
n = flatbuffers.encode.Get(flatbuffers.packer.uoffset, buf, offset)
x = TableInFirstNS()
x.Init(buf, n + offset)
return x
# TableInFirstNS
def Init(self, buf, pos):
self._tab = flatbuffers.table.Table(buf, pos)
# TableInFirstNS
def FooTable(self):
o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(4))
if o != 0:
x = self._tab.Indirect(o + self._tab.Pos)
Flatbuffers Python Object API (#5616) * 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.
2019-12-02 22:11:28 +00:00
from NamespaceA.NamespaceB.TableInNestedNS import TableInNestedNS
obj = TableInNestedNS()
obj.Init(self._tab.Bytes, x)
return obj
return None
# TableInFirstNS
def FooEnum(self):
o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(6))
if o != 0:
return self._tab.Get(flatbuffers.number_types.Int8Flags, o + self._tab.Pos)
return 0
# TableInFirstNS
def FooStruct(self):
o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(8))
if o != 0:
x = o + self._tab.Pos
Flatbuffers Python Object API (#5616) * 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.
2019-12-02 22:11:28 +00:00
from NamespaceA.NamespaceB.StructInNestedNS import StructInNestedNS
obj = StructInNestedNS()
obj.Init(self._tab.Bytes, x)
return obj
return None
def TableInFirstNSStart(builder): builder.StartObject(3)
def TableInFirstNSAddFooTable(builder, fooTable): builder.PrependUOffsetTRelativeSlot(0, flatbuffers.number_types.UOffsetTFlags.py_type(fooTable), 0)
def TableInFirstNSAddFooEnum(builder, fooEnum): builder.PrependInt8Slot(1, fooEnum, 0)
def TableInFirstNSAddFooStruct(builder, fooStruct): builder.PrependStructSlot(2, flatbuffers.number_types.UOffsetTFlags.py_type(fooStruct), 0)
def TableInFirstNSEnd(builder): return builder.EndObject()