Implement unicode serialization

This commit is contained in:
Philipp Moritz 2016-08-04 15:34:47 -07:00
parent a81dc0c541
commit 8e165d43d4
6 changed files with 85 additions and 52 deletions

View file

@ -8,7 +8,9 @@ SequenceBuilder::SequenceBuilder(MemoryPool* pool)
: pool_(pool), types_(pool), offsets_(pool),
nones_(pool, std::make_shared<NullType>()),
bools_(pool, std::make_shared<BooleanType>()),
ints_(pool), strings_(pool, std::make_shared<StringType>()),
ints_(pool),
bytes_(pool, std::make_shared<BinaryType>()),
strings_(pool, std::make_shared<StringType>()),
floats_(pool), doubles_(pool),
uint8_tensors_(std::make_shared<UInt8Type>(), pool),
int8_tensors_(std::make_shared<Int8Type>(), pool),
@ -31,46 +33,51 @@ SequenceBuilder::SequenceBuilder(MemoryPool* pool)
RETURN_NOT_OK(types_.Append(TAG)); \
RETURN_NOT_OK(nones_.AppendToBitmap(true));
Status SequenceBuilder::Append() {
Status SequenceBuilder::AppendNone() {
RETURN_NOT_OK(offsets_.Append(0));
RETURN_NOT_OK(types_.Append(0));
return nones_.AppendToBitmap(false);
}
Status SequenceBuilder::Append(bool data) {
Status SequenceBuilder::AppendBool(bool data) {
UPDATE(bools_.length(), bool_tag);
return bools_.Append(data);
}
Status SequenceBuilder::Append(int64_t data) {
Status SequenceBuilder::AppendInt64(int64_t data) {
UPDATE(ints_.length(), int_tag);
return ints_.Append(data);
}
Status SequenceBuilder::Append(uint64_t data) {
Status SequenceBuilder::AppendUInt64(uint64_t data) {
UPDATE(ints_.length(), int_tag);
return ints_.Append(data);
}
Status SequenceBuilder::Append(const char* data, int32_t length) {
Status SequenceBuilder::AppendBytes(const uint8_t* data, int32_t length) {
UPDATE(bytes_.length(), bytes_tag);
return bytes_.Append(data, length);
}
Status SequenceBuilder::AppendString(const char* data, int32_t length) {
UPDATE(strings_.length(), string_tag);
return strings_.Append(data, length);
}
Status SequenceBuilder::Append(float data) {
Status SequenceBuilder::AppendFloat(float data) {
UPDATE(floats_.length(), float_tag);
return floats_.Append(data);
}
Status SequenceBuilder::Append(double data) {
Status SequenceBuilder::AppendDouble(double data) {
UPDATE(doubles_.length(), double_tag);
return doubles_.Append(data);
}
#define DEF_TENSOR_APPEND(NAME, TYPE, TAG) \
Status SequenceBuilder::Append(const std::vector<int64_t>& dims, TYPE* data) { \
UPDATE(NAME.length(), TAG); \
return NAME.Append(dims, data); \
#define DEF_TENSOR_APPEND(NAME, TYPE, TAG) \
Status SequenceBuilder::AppendTensor(const std::vector<int64_t>& dims, TYPE* data) { \
UPDATE(NAME.length(), TAG); \
return NAME.Append(dims, data); \
}
DEF_TENSOR_APPEND(uint8_tensors_, uint8_t, uint8_tensor_tag);
@ -136,6 +143,7 @@ std::shared_ptr<DenseUnionArray> SequenceBuilder::Finish(
ADD_ELEMENT(bools_, bool_tag);
ADD_ELEMENT(ints_, int_tag);
ADD_ELEMENT(strings_, string_tag);
ADD_ELEMENT(bytes_, bytes_tag);
ADD_ELEMENT(floats_, float_tag);
ADD_ELEMENT(doubles_, double_tag);

View file

@ -15,25 +15,28 @@ class SequenceBuilder {
SequenceBuilder(arrow::MemoryPool* pool = nullptr);
//! Appending a none to the sequence
arrow::Status Append();
arrow::Status AppendNone();
//! Appending a boolean to the sequence
arrow::Status Append(bool data);
arrow::Status AppendBool(bool data);
//! Appending an int64_t to the sequence
arrow::Status Append(int64_t data);
arrow::Status AppendInt64(int64_t data);
//! Appending an uint64_t to the sequence
arrow::Status Append(uint64_t data);
arrow::Status AppendUInt64(uint64_t data);
//! Append a list of bytes to the sequence
arrow::Status AppendBytes(const uint8_t* data, int32_t length);
//! Appending a string to the sequence
arrow::Status Append(const char* data, int32_t length);
arrow::Status AppendString(const char* data, int32_t length);
//! Appending a float to the sequence
arrow::Status Append(float data);
arrow::Status AppendFloat(float data);
//! Appending a double to the sequence
arrow::Status Append(double data);
arrow::Status AppendDouble(double data);
/*! Appending a tensor to the sequence
@ -44,16 +47,16 @@ class SequenceBuilder {
A pointer to the start of the data block. The length of the data block
will be the product of the dimensions
*/
arrow::Status Append(const std::vector<int64_t>& dims, uint8_t* data);
arrow::Status Append(const std::vector<int64_t>& dims, int8_t* data);
arrow::Status Append(const std::vector<int64_t>& dims, uint16_t* data);
arrow::Status Append(const std::vector<int64_t>& dims, int16_t* data);
arrow::Status Append(const std::vector<int64_t>& dims, uint32_t* data);
arrow::Status Append(const std::vector<int64_t>& dims, int32_t* data);
arrow::Status Append(const std::vector<int64_t>& dims, uint64_t* data);
arrow::Status Append(const std::vector<int64_t>& dims, int64_t* data);
arrow::Status Append(const std::vector<int64_t>& dims, float* data);
arrow::Status Append(const std::vector<int64_t>& dims, double* data);
arrow::Status AppendTensor(const std::vector<int64_t>& dims, uint8_t* data);
arrow::Status AppendTensor(const std::vector<int64_t>& dims, int8_t* data);
arrow::Status AppendTensor(const std::vector<int64_t>& dims, uint16_t* data);
arrow::Status AppendTensor(const std::vector<int64_t>& dims, int16_t* data);
arrow::Status AppendTensor(const std::vector<int64_t>& dims, uint32_t* data);
arrow::Status AppendTensor(const std::vector<int64_t>& dims, int32_t* data);
arrow::Status AppendTensor(const std::vector<int64_t>& dims, uint64_t* data);
arrow::Status AppendTensor(const std::vector<int64_t>& dims, int64_t* data);
arrow::Status AppendTensor(const std::vector<int64_t>& dims, float* data);
arrow::Status AppendTensor(const std::vector<int64_t>& dims, double* data);
/*! Add a sublist to the sequenc. The data contained in the sublist will be
specified in the "Finish" method.
@ -90,6 +93,7 @@ class SequenceBuilder {
arrow::NullArrayBuilder nones_;
arrow::BooleanBuilder bools_;
arrow::Int64Builder ints_;
arrow::BinaryBuilder bytes_;
arrow::StringBuilder strings_;
arrow::FloatBuilder floats_;
arrow::DoubleBuilder doubles_;
@ -112,6 +116,7 @@ class SequenceBuilder {
int8_t bool_tag = -1;
int8_t int_tag = -1;
int8_t string_tag = -1;
int8_t bytes_tag = -1;
int8_t float_tag = -1;
int8_t double_tag = -1;

View file

@ -65,34 +65,34 @@ Status SerializeArray(PyArrayObject* array, SequenceBuilder& builder) {
auto data = PyArray_DATA(contiguous);
switch (dtype) {
case NPY_UINT8:
RETURN_NOT_OK(builder.Append(dims, reinterpret_cast<uint8_t*>(data)));
RETURN_NOT_OK(builder.AppendTensor(dims, reinterpret_cast<uint8_t*>(data)));
break;
case NPY_INT8:
RETURN_NOT_OK(builder.Append(dims, reinterpret_cast<int8_t*>(data)));
RETURN_NOT_OK(builder.AppendTensor(dims, reinterpret_cast<int8_t*>(data)));
break;
case NPY_UINT16:
RETURN_NOT_OK(builder.Append(dims, reinterpret_cast<uint16_t*>(data)));
RETURN_NOT_OK(builder.AppendTensor(dims, reinterpret_cast<uint16_t*>(data)));
break;
case NPY_INT16:
RETURN_NOT_OK(builder.Append(dims, reinterpret_cast<int16_t*>(data)));
RETURN_NOT_OK(builder.AppendTensor(dims, reinterpret_cast<int16_t*>(data)));
break;
case NPY_UINT32:
RETURN_NOT_OK(builder.Append(dims, reinterpret_cast<uint32_t*>(data)));
RETURN_NOT_OK(builder.AppendTensor(dims, reinterpret_cast<uint32_t*>(data)));
break;
case NPY_INT32:
RETURN_NOT_OK(builder.Append(dims, reinterpret_cast<int32_t*>(data)));
RETURN_NOT_OK(builder.AppendTensor(dims, reinterpret_cast<int32_t*>(data)));
break;
case NPY_UINT64:
RETURN_NOT_OK(builder.Append(dims, reinterpret_cast<uint64_t*>(data)));
RETURN_NOT_OK(builder.AppendTensor(dims, reinterpret_cast<uint64_t*>(data)));
break;
case NPY_INT64:
RETURN_NOT_OK(builder.Append(dims, reinterpret_cast<int64_t*>(data)));
RETURN_NOT_OK(builder.AppendTensor(dims, reinterpret_cast<int64_t*>(data)));
break;
case NPY_FLOAT:
RETURN_NOT_OK(builder.Append(dims, reinterpret_cast<float*>(data)));
RETURN_NOT_OK(builder.AppendTensor(dims, reinterpret_cast<float*>(data)));
break;
case NPY_DOUBLE:
RETURN_NOT_OK(builder.Append(dims, reinterpret_cast<double*>(data)));
RETURN_NOT_OK(builder.AppendTensor(dims, reinterpret_cast<double*>(data)));
break;
default:
DCHECK(false) << "numpy data type not recognized: " << dtype;

View file

@ -15,10 +15,15 @@ PyObject* get_value(ArrayPtr arr, int32_t index, int32_t type) {
return PyBool_FromLong(std::static_pointer_cast<BooleanArray>(arr)->Value(index));
case Type::INT64:
return PyInt_FromLong(std::static_pointer_cast<Int64Array>(arr)->Value(index));
case Type::BINARY: {
int32_t nchars;
const uint8_t* str = std::static_pointer_cast<BinaryArray>(arr)->GetValue(index, &nchars);
return PyString_FromStringAndSize(reinterpret_cast<const char*>(str), nchars);
}
case Type::STRING: {
int32_t nchars;
const uint8_t* str = std::static_pointer_cast<StringArray>(arr)->GetValue(index, &nchars);
return PyString_FromStringAndSize(reinterpret_cast<const char*>(str), nchars);
return PyUnicode_FromStringAndSize(reinterpret_cast<const char*>(str), nchars);
}
case Type::FLOAT:
return PyFloat_FromDouble(std::static_pointer_cast<FloatArray>(arr)->Value(index));
@ -50,20 +55,34 @@ Status append(PyObject* elem, SequenceBuilder& builder,
std::vector<PyObject*>& subdicts) {
// The bool case must precede the int case (PyInt_Check passes for bools)
if (PyBool_Check(elem)) {
RETURN_NOT_OK(builder.Append(elem == Py_True));
RETURN_NOT_OK(builder.AppendBool(elem == Py_True));
} else if (PyFloat_Check(elem)) {
RETURN_NOT_OK(builder.Append(PyFloat_AS_DOUBLE(elem)));
RETURN_NOT_OK(builder.AppendFloat(PyFloat_AS_DOUBLE(elem)));
} else if (PyLong_Check(elem)) {
int overflow = 0;
int64_t data = PyLong_AsLongLongAndOverflow(elem, &overflow);
RETURN_NOT_OK(builder.Append(data));
RETURN_NOT_OK(builder.AppendInt64(data));
if(overflow) {
return Status::NotImplemented("long overflow");
}
} else if (PyInt_Check(elem)) {
RETURN_NOT_OK(builder.Append(static_cast<int64_t>(PyInt_AS_LONG(elem))));
RETURN_NOT_OK(builder.AppendInt64(static_cast<int64_t>(PyInt_AS_LONG(elem))));
} else if (PyString_Check(elem)) {
RETURN_NOT_OK(builder.Append(PyString_AS_STRING(elem), PyString_GET_SIZE(elem)));
auto data = reinterpret_cast<uint8_t*>(PyString_AS_STRING(elem));
auto size = PyString_GET_SIZE(elem);
RETURN_NOT_OK(builder.AppendBytes(data, size));
} else if (PyUnicode_Check(elem)) {
Py_ssize_t size;
#if PY_MAJOR_VERSION >= 3
char* data = PyUnicode_AsUTF8AndSize(elem, &size); // TODO(pcm): Check if this is correct
#else
PyObject* str = PyUnicode_AsUTF8String(elem);
char* data = PyString_AS_STRING(str);
size = PyString_GET_SIZE(str);
#endif
Status s = builder.AppendString(data, size);
Py_XDECREF(str);
RETURN_NOT_OK(s);
} else if (PyList_Check(elem)) {
builder.AppendList(PyList_Size(elem));
sublists.push_back(elem);
@ -78,7 +97,7 @@ Status append(PyObject* elem, SequenceBuilder& builder,
} else if (PyArray_Check(elem)) {
RETURN_NOT_OK(SerializeArray((PyArrayObject*) elem, builder));
} else if (elem == Py_None) {
RETURN_NOT_OK(builder.Append());
RETURN_NOT_OK(builder.AppendNone());
} else {
std::stringstream ss;
ss << "data type of " << PyString_AS_STRING(PyObject_Repr(elem))

View file

@ -16,11 +16,11 @@ namespace numbuf {
arrow::Status AppendScalar(PyObject* obj, SequenceBuilder& builder) {
if (PyArray_IsScalar(obj, Bool)) {
return builder.Append(((PyBoolScalarObject *)obj)->obval != 0);
return builder.AppendBool(((PyBoolScalarObject *)obj)->obval != 0);
} else if (PyArray_IsScalar(obj, Float)) {
return builder.Append(((PyFloatScalarObject *)obj)->obval);
return builder.AppendFloat(((PyFloatScalarObject *)obj)->obval);
} else if (PyArray_IsScalar(obj, Double)) {
return builder.Append(((PyDoubleScalarObject *)obj)->obval);
return builder.AppendDouble(((PyDoubleScalarObject *)obj)->obval);
}
int64_t value = 0;
if (PyArray_IsScalar(obj, Byte)) {
@ -46,7 +46,7 @@ arrow::Status AppendScalar(PyObject* obj, SequenceBuilder& builder) {
} else {
DCHECK(false) << "scalar type not recognized";
}
return builder.Append(value);
return builder.AppendInt64(value);
}
} // namespace

View file

@ -3,8 +3,9 @@ import libnumbuf
import numpy as np
from numpy.testing import assert_equal
TEST_OBJECTS = [[1, "hello", 3.0], 42, 43L, "hello world", 42.0, 1L << 62,
(1.0, "hi"), None, (None, None), ("hello", None),
TEST_OBJECTS = [[1, "hello", 3.0], 42, 43L, "hello world", u"x", u"\u262F",
42.0, 1L << 62, (1.0, "hi"),
None, (None, None), ("hello", None),
True, False, (True, False), "hello",
{True: "hello", False: "world"},
{"hello" : "world", 1: 42, 1.0: 45}, {},