// Licensed to the Apache Software Foundation (ASF) under one

// or more contributor license agreements. See the NOTICE file

// distributed with this work for additional information

// regarding copyright ownership. The ASF licenses this file

// to you under the Apache License, Version 2.0 (the

// "License"); you may not use this file except in compliance

// with the License. You may obtain a copy of the License at

//

// http://www.apache.org/licenses/LICENSE-2.0

//

// Unless required by applicable law or agreed to in writing,

// software distributed under the License is distributed on an

// "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY

// KIND, either express or implied. See the License for the

// specific language governing permissions and limitations

// under the License.

#include <memory>

#include <optional>

#include <sstream>

#include <string>

#include "platform.h"

#include "arrow/array.h"

#include "arrow/array/builder_binary.h"

#include "arrow/table.h"

#include "arrow/util/decimal.h"

#include "arrow/util/logging.h"

#include "arrow/python/arrow_to_pandas.h"

#include "arrow/python/decimal.h"

#include "arrow/python/helpers.h"

#include "arrow/python/numpy_convert.h"

#include "arrow/python/numpy_interop.h"

#include "arrow/python/python_test.h"

#include "arrow/python/python_to_arrow.h"

#define ASSERT_EQ(x, y) \

{ \

auto&& _left = (x); \

auto&& _right = (y); \

if (_left != _right) { \

return Status::Invalid("Expected equality between `", #x, "` and `", #y, \

"`, but ", arrow::py::testing::ToString(_left), \

" != ", arrow::py::testing::ToString(_right)); \

} \

}

#define ASSERT_NE(x, y) \

{ \

auto&& _left = (x); \

auto&& _right = (y); \

if (_left == _right) { \

return Status::Invalid("Expected inequality between `", #x, "` and `", #y, \

"`, but ", arrow::py::testing::ToString(_left), \

" == ", arrow::py::testing::ToString(_right)); \

} \

}

#define ASSERT_FALSE(v) \

{ \

auto&& _v = (v); \

if (!!_v) { \

return Status::Invalid("Expected `", #v, "` to evaluate to false, but got ", \

arrow::py::testing::ToString(_v)); \

} \

}

#define ASSERT_TRUE(v) \

{ \

auto&& _v = (v); \

if (!_v) { \

return Status::Invalid("Expected `", #v, "` to evaluate to true, but got ", \

arrow::py::testing::ToString(_v)); \

} \

}

#define ASSERT_FALSE_MSG(v, msg) \

{ \

auto&& _v = (v); \

if (!!_v) { \

return Status::Invalid("Expected `", #v, "` to evaluate to false, but got ", \

arrow::py::testing::ToString(_v), ": ", msg); \

} \

}

#define ASSERT_TRUE_MSG(v, msg) \

{ \

auto&& _v = (v); \

if (!_v) { \

return Status::Invalid("Expected `", #v, "` to evaluate to true, but got ", \

arrow::py::testing::ToString(_v), ": ", msg); \

} \

}

#define ASSERT_OK(expr) \

{ \

for (::arrow::Status _st = ::arrow::ToStatus((expr)); !_st.ok();) \

return Status::Invalid("`", #expr, "` failed with ", _st.ToString()); \

}

#define ASSERT_RAISES(code, expr) \

{ \

for (::arrow::Status _st_expr = ::arrow::ToStatus((expr)); !_st_expr.Is##code();) \

return Status::Invalid("Expected `", #expr, "` to fail with ", #code, \

", but got ", _st_expr.ToString()); \

}

namespace arrow {

using internal::checked_cast;

namespace py {

namespace testing {

// ARROW-17938: Some standard libraries have ambiguous operator<<(nullptr_t),

// work around it using a custom printer function.

template <typename T>

std::string ToString(const T& t) {

std::stringstream ss;

ss << t;

return ss.str();

}

template <>

std::string ToString(const std::nullptr_t&) {

return "nullptr";

}

namespace {

Status TestOwnedRefMoves() {

std::vector<OwnedRef> vec;

PyObject *u, *v;

u = PyList_New(0);

v = PyList_New(0);

{

OwnedRef ref(u);

vec.push_back(std::move(ref));

ASSERT_EQ(ref.obj(), nullptr);

}

vec.emplace_back(v);

ASSERT_EQ(Py_REFCNT(u), 1);

ASSERT_EQ(Py_REFCNT(v), 1);

return Status::OK();

}

Status TestOwnedRefNoGILMoves() {

PyAcquireGIL lock;

lock.release();

{

std::vector<OwnedRef> vec;

PyObject *u, *v;

{

lock.acquire();

u = PyList_New(0);

v = PyList_New(0);

lock.release();

}

{

OwnedRefNoGIL ref(u);

vec.push_back(std::move(ref));

ASSERT_EQ(ref.obj(), nullptr);

}

vec.emplace_back(v);

ASSERT_EQ(Py_REFCNT(u), 1);

ASSERT_EQ(Py_REFCNT(v), 1);

return Status::OK();

}

}

std::string FormatPythonException(const std::string& exc_class_name,

const std::string& exc_value) {

std::stringstream ss;

ss << "Python exception: ";

ss << exc_class_name;

ss << ": ";

ss << exc_value;

ss << "\n";

return ss.str();

}

Status TestCheckPyErrorStatus() {

Status st;

std::string expected_detail = "";

auto check_error = [](Status& st, const char* expected_message = "some error",

std::string expected_detail = "") {

st = CheckPyError();

ASSERT_EQ(st.message(), expected_message);

ASSERT_FALSE(PyErr_Occurred());

if (expected_detail.size() > 0) {

auto detail = st.detail();

ASSERT_NE(detail, nullptr);

ASSERT_EQ(detail->ToString(), expected_detail);

}

return Status::OK();

};

for (PyObject* exc_type : {PyExc_Exception, PyExc_SyntaxError}) {

PyErr_SetString(exc_type, "some error");

ASSERT_OK(check_error(st));

ASSERT_TRUE(st.IsUnknownError());

}

PyErr_SetString(PyExc_TypeError, "some error");

ASSERT_OK(

check_error(st, "some error", FormatPythonException("TypeError", "some error")));

ASSERT_TRUE(st.IsTypeError());

PyErr_SetString(PyExc_ValueError, "some error");

ASSERT_OK(check_error(st));

ASSERT_TRUE(st.IsInvalid());

PyErr_SetString(PyExc_KeyError, "some error");

ASSERT_OK(check_error(st, "'some error'"));

ASSERT_TRUE(st.IsKeyError());

for (PyObject* exc_type : {PyExc_OSError, PyExc_IOError}) {

PyErr_SetString(exc_type, "some error");

ASSERT_OK(check_error(st));

ASSERT_TRUE(st.IsIOError());

}

PyErr_SetString(PyExc_NotImplementedError, "some error");

ASSERT_OK(check_error(st, "some error",

FormatPythonException("NotImplementedError", "some error")));

ASSERT_TRUE(st.IsNotImplemented());

// No override if a specific status code is given

PyErr_SetString(PyExc_TypeError, "some error");

st = CheckPyError(StatusCode::SerializationError);

ASSERT_TRUE(st.IsSerializationError());

ASSERT_EQ(st.message(), "some error");

ASSERT_FALSE(PyErr_Occurred());

return Status::OK();

}

Status TestCheckPyErrorStatusNoGIL() {

PyAcquireGIL lock;

{

Status st;

PyErr_SetString(PyExc_ZeroDivisionError, "zzzt");

st = ConvertPyError();

ASSERT_FALSE(PyErr_Occurred());

lock.release();

ASSERT_TRUE(st.IsUnknownError());

ASSERT_EQ(st.message(), "zzzt");

ASSERT_EQ(st.detail()->ToString(),

FormatPythonException("ZeroDivisionError", "zzzt"));

return Status::OK();

}

}

Status TestRestorePyErrorBasics() {

PyErr_SetString(PyExc_ZeroDivisionError, "zzzt");

auto st = ConvertPyError();

ASSERT_FALSE(PyErr_Occurred());

ASSERT_TRUE(st.IsUnknownError());

ASSERT_EQ(st.message(), "zzzt");

ASSERT_EQ(st.detail()->ToString(), FormatPythonException("ZeroDivisionError", "zzzt"));

RestorePyError(st);

ASSERT_TRUE(PyErr_Occurred());

PyObject* exc_type;

PyObject* exc_value;

PyObject* exc_traceback;

PyErr_Fetch(&exc_type, &exc_value, &exc_traceback);

ASSERT_TRUE(PyErr_GivenExceptionMatches(exc_type, PyExc_ZeroDivisionError));

std::string py_message;

ASSERT_OK(internal::PyObject_StdStringStr(exc_value, &py_message));

ASSERT_EQ(py_message, "zzzt");

return Status::OK();

}

Status TestPyBufferInvalidInputObject() {

std::shared_ptr<Buffer> res;

PyObject* input = Py_None;

auto old_refcnt = Py_REFCNT(input);

{

Status st = PyBuffer::FromPyObject(input).status();

ASSERT_TRUE_MSG(IsPyError(st), st.ToString());

ASSERT_FALSE(PyErr_Occurred());

}

ASSERT_EQ(old_refcnt, Py_REFCNT(input));

return Status::OK();

}

// Because of how it is declared, the Numpy C API instance initialized

// within libarrow_python.dll may not be visible in this test under Windows

// ("unresolved external symbol arrow_ARRAY_API referenced").

#ifndef _WIN32

Status TestPyBufferNumpyArray() {

npy_intp dims[1] = {10};

OwnedRef arr_ref(PyArray_SimpleNew(1, dims, NPY_FLOAT));

PyObject* arr = arr_ref.obj();

ASSERT_NE(arr, nullptr);

auto old_refcnt = Py_REFCNT(arr);

auto buf = std::move(PyBuffer::FromPyObject(arr)).ValueOrDie();

ASSERT_TRUE(buf->is_cpu());

ASSERT_EQ(buf->data(), PyArray_DATA(reinterpret_cast<PyArrayObject*>(arr)));

ASSERT_TRUE(buf->is_mutable());

ASSERT_EQ(buf->mutable_data(), buf->data());

ASSERT_EQ(old_refcnt + 1, Py_REFCNT(arr));

buf.reset();

ASSERT_EQ(old_refcnt, Py_REFCNT(arr));

// Read-only

PyArray_CLEARFLAGS(reinterpret_cast<PyArrayObject*>(arr), NPY_ARRAY_WRITEABLE);

buf = std::move(PyBuffer::FromPyObject(arr)).ValueOrDie();

ASSERT_TRUE(buf->is_cpu());

ASSERT_EQ(buf->data(), PyArray_DATA(reinterpret_cast<PyArrayObject*>(arr)));

ASSERT_FALSE(buf->is_mutable());

ASSERT_EQ(old_refcnt + 1, Py_REFCNT(arr));

buf.reset();

ASSERT_EQ(old_refcnt, Py_REFCNT(arr));

return Status::OK();

}

Status TestNumPyBufferNumpyArray() {

npy_intp dims[1] = {10};

OwnedRef arr_ref(PyArray_SimpleNew(1, dims, NPY_FLOAT));

PyObject* arr = arr_ref.obj();

ASSERT_NE(arr, nullptr);

auto old_refcnt = Py_REFCNT(arr);

auto buf = std::make_shared<NumPyBuffer>(arr);

ASSERT_TRUE(buf->is_cpu());

ASSERT_EQ(buf->data(), PyArray_DATA(reinterpret_cast<PyArrayObject*>(arr)));

ASSERT_TRUE(buf->is_mutable());

ASSERT_EQ(buf->mutable_data(), buf->data());

ASSERT_EQ(old_refcnt + 1, Py_REFCNT(arr));

buf.reset();

ASSERT_EQ(old_refcnt, Py_REFCNT(arr));

// Read-only

PyArray_CLEARFLAGS(reinterpret_cast<PyArrayObject*>(arr), NPY_ARRAY_WRITEABLE);

buf = std::make_shared<NumPyBuffer>(arr);

ASSERT_TRUE(buf->is_cpu());

ASSERT_EQ(buf->data(), PyArray_DATA(reinterpret_cast<PyArrayObject*>(arr)));

ASSERT_FALSE(buf->is_mutable());

ASSERT_EQ(old_refcnt + 1, Py_REFCNT(arr));

buf.reset();

ASSERT_EQ(old_refcnt, Py_REFCNT(arr));

return Status::OK();

}

#endif

Status TestPythonDecimalToString() {

OwnedRef decimal_constructor_;

OwnedRef decimal_module;

RETURN_NOT_OK(internal::ImportModule("decimal", &decimal_module));

RETURN_NOT_OK(

internal::ImportFromModule(decimal_module.obj(), "Decimal", &decimal_constructor_));

std::string decimal_string("-39402950693754869342983");

PyObject* python_object =

internal::DecimalFromString(decimal_constructor_.obj(), decimal_string);

ASSERT_NE(python_object, nullptr);

std::string string_result;

ASSERT_OK(internal::PythonDecimalToString(python_object, &string_result));

return Status::OK();

}

Status TestInferPrecisionAndScale() {

OwnedRef decimal_constructor_;

OwnedRef decimal_module;

RETURN_NOT_OK(internal::ImportModule("decimal", &decimal_module));

RETURN_NOT_OK(

internal::ImportFromModule(decimal_module.obj(), "Decimal", &decimal_constructor_));

std::string decimal_string("-394029506937548693.42983");

PyObject* python_decimal =

internal::DecimalFromString(decimal_constructor_.obj(), decimal_string);

internal::DecimalMetadata metadata;

ASSERT_OK(metadata.Update(python_decimal));

const auto expected_precision =

static_cast<int32_t>(decimal_string.size() - 2); // 1 for -, 1 for .

const int32_t expected_scale = 5;

ASSERT_EQ(expected_precision, metadata.precision());

ASSERT_EQ(expected_scale, metadata.scale());

return Status::OK();

}

Status TestInferPrecisionAndNegativeScale() {

OwnedRef decimal_constructor_;

OwnedRef decimal_module;

RETURN_NOT_OK(internal::ImportModule("decimal", &decimal_module));

RETURN_NOT_OK(

internal::ImportFromModule(decimal_module.obj(), "Decimal", &decimal_constructor_));

std::string decimal_string("-3.94042983E+10");

PyObject* python_decimal =

internal::DecimalFromString(decimal_constructor_.obj(), decimal_string);

internal::DecimalMetadata metadata;

ASSERT_OK(metadata.Update(python_decimal));

const auto expected_precision = 11;

const int32_t expected_scale = 0;

ASSERT_EQ(expected_precision, metadata.precision());

ASSERT_EQ(expected_scale, metadata.scale());

return Status::OK();

}

Status TestInferAllLeadingZeros() {

OwnedRef decimal_constructor_;

OwnedRef decimal_module;

RETURN_NOT_OK(internal::ImportModule("decimal", &decimal_module));

RETURN_NOT_OK(

internal::ImportFromModule(decimal_module.obj(), "Decimal", &decimal_constructor_));

std::string decimal_string("0.001");

PyObject* python_decimal =

internal::DecimalFromString(decimal_constructor_.obj(), decimal_string);

internal::DecimalMetadata metadata;

ASSERT_OK(metadata.Update(python_decimal));

ASSERT_EQ(3, metadata.precision());

ASSERT_EQ(3, metadata.scale());

return Status::OK();

}

Status TestInferAllLeadingZerosExponentialNotationPositive() {

OwnedRef decimal_constructor_;

OwnedRef decimal_module;

RETURN_NOT_OK(internal::ImportModule("decimal", &decimal_module));

RETURN_NOT_OK(

internal::ImportFromModule(decimal_module.obj(), "Decimal", &decimal_constructor_));

std::string decimal_string("0.01E5");

PyObject* python_decimal =

internal::DecimalFromString(decimal_constructor_.obj(), decimal_string);

internal::DecimalMetadata metadata;

ASSERT_OK(metadata.Update(python_decimal));

ASSERT_EQ(4, metadata.precision());

ASSERT_EQ(0, metadata.scale());

return Status::OK();

}

Status TestInferAllLeadingZerosExponentialNotationNegative() {

OwnedRef decimal_constructor_;

OwnedRef decimal_module;

RETURN_NOT_OK(internal::ImportModule("decimal", &decimal_module));

RETURN_NOT_OK(

internal::ImportFromModule(decimal_module.obj(), "Decimal", &decimal_constructor_));

std::string decimal_string("0.01E3");

PyObject* python_decimal =

internal::DecimalFromString(decimal_constructor_.obj(), decimal_string);

internal::DecimalMetadata metadata;

ASSERT_OK(metadata.Update(python_decimal));

ASSERT_EQ(2, metadata.precision());

ASSERT_EQ(0, metadata.scale());

return Status::OK();

}

Status TestObjectBlockWriteFails() {

StringBuilder builder;

const char value[] = {'\xf1', '\0'};

for (int i = 0; i < 1000; ++i) {

ASSERT_OK(builder.Append(value, static_cast<int32_t>(strlen(value))));

}

std::shared_ptr<Array> arr;

ASSERT_OK(builder.Finish(&arr));

auto f1 = field("f1", utf8());

auto f2 = field("f2", utf8());

auto f3 = field("f3", utf8());

std::vector<std::shared_ptr<Field>> fields = {f1, f2, f3};

std::vector<std::shared_ptr<Array>> cols = {arr, arr, arr};

auto schema = ::arrow::schema(fields);

auto table = Table::Make(schema, cols);

Status st;

Py_BEGIN_ALLOW_THREADS;

PyObject* out;

PandasOptions options;

options.use_threads = true;

st = ConvertTableToPandas(options, table, &out);

Py_END_ALLOW_THREADS;

ASSERT_RAISES(UnknownError, st);

return Status::OK();

}

Status TestMixedTypeFails() {

OwnedRef list_ref(PyList_New(3));

PyObject* list = list_ref.obj();

ASSERT_NE(list, nullptr);

PyObject* str = PyUnicode_FromString("abc");

ASSERT_NE(str, nullptr);

PyObject* integer = PyLong_FromLong(1234L);

ASSERT_NE(integer, nullptr);

PyObject* doub = PyFloat_FromDouble(123.0234);

ASSERT_NE(doub, nullptr);

// This steals a reference to each object, so we don't need to decref them later

// just the list

ASSERT_EQ(PyList_SetItem(list, 0, str), 0);

ASSERT_EQ(PyList_SetItem(list, 1, integer), 0);

ASSERT_EQ(PyList_SetItem(list, 2, doub), 0);

ASSERT_RAISES(TypeError, ConvertPySequence(list, nullptr, {}));

return Status::OK();

}

template <typename DecimalValue>

Status DecimalTestFromPythonDecimalRescale(std::shared_ptr<DataType> type,

PyObject* python_decimal,

std::optional<int> expected) {

DecimalValue value;

const auto& decimal_type = checked_cast<const DecimalType&>(*type);

if (expected.has_value()) {

ASSERT_OK(internal::DecimalFromPythonDecimal(python_decimal, decimal_type, &value));

ASSERT_EQ(expected.value(), value);

ASSERT_OK(internal::DecimalFromPyObject(python_decimal, decimal_type, &value));

ASSERT_EQ(expected.value(), value);

} else {

ASSERT_RAISES(Invalid, internal::DecimalFromPythonDecimal(python_decimal,

decimal_type, &value));

ASSERT_RAISES(Invalid,

internal::DecimalFromPyObject(python_decimal, decimal_type, &value));

}

return Status::OK();

}

Status TestFromPythonDecimalRescaleNotTruncateable() {

OwnedRef decimal_constructor_;

OwnedRef decimal_module;

RETURN_NOT_OK(internal::ImportModule("decimal", &decimal_module));

RETURN_NOT_OK(

internal::ImportFromModule(decimal_module.obj(), "Decimal", &decimal_constructor_));

std::string decimal_string("1.001");

PyObject* python_decimal =

internal::DecimalFromString(decimal_constructor_.obj(), decimal_string);

// We fail when truncating values that would lose data if cast to a decimal type with

// lower scale

ASSERT_OK(DecimalTestFromPythonDecimalRescale<Decimal128>(::arrow::decimal128(10, 2),

python_decimal, {}));

ASSERT_OK(DecimalTestFromPythonDecimalRescale<Decimal256>(::arrow::decimal256(10, 2),

python_decimal, {}));

return Status::OK();

}

Status TestFromPythonDecimalRescaleTruncateable() {

OwnedRef decimal_constructor_;

OwnedRef decimal_module;

RETURN_NOT_OK(internal::ImportModule("decimal", &decimal_module));

RETURN_NOT_OK(

internal::ImportFromModule(decimal_module.obj(), "Decimal", &decimal_constructor_));

std::string decimal_string("1.000");

PyObject* python_decimal =

internal::DecimalFromString(decimal_constructor_.obj(), decimal_string);

// We allow truncation of values that do not lose precision when dividing by 10 * the

// difference between the scales, e.g., 1.000 -> 1.00

ASSERT_OK(DecimalTestFromPythonDecimalRescale<Decimal128>(::arrow::decimal128(10, 2),

python_decimal, 100));

ASSERT_OK(DecimalTestFromPythonDecimalRescale<Decimal256>(::arrow::decimal256(10, 2),

python_decimal, 100));

return Status::OK();

}

Status TestFromPythonNegativeDecimalRescale() {

OwnedRef decimal_constructor_;

OwnedRef decimal_module;

RETURN_NOT_OK(internal::ImportModule("decimal", &decimal_module));

RETURN_NOT_OK(

internal::ImportFromModule(decimal_module.obj(), "Decimal", &decimal_constructor_));

std::string decimal_string("-1.000");

PyObject* python_decimal =

internal::DecimalFromString(decimal_constructor_.obj(), decimal_string);

ASSERT_OK(DecimalTestFromPythonDecimalRescale<Decimal128>(::arrow::decimal128(10, 9),

python_decimal, -1000000000));

ASSERT_OK(DecimalTestFromPythonDecimalRescale<Decimal256>(::arrow::decimal256(10, 9),

python_decimal, -1000000000));

return Status::OK();

}

Status TestDecimal128FromPythonInteger() {

Decimal128 value;

OwnedRef python_long(PyLong_FromLong(42));

auto type = ::arrow::decimal128(10, 2);

const auto& decimal_type = checked_cast<const DecimalType&>(*type);

ASSERT_OK(internal::DecimalFromPyObject(python_long.obj(), decimal_type, &value));

ASSERT_EQ(4200, value);

return Status::OK();

}

Status TestDecimal256FromPythonInteger() {

Decimal256 value;

OwnedRef python_long(PyLong_FromLong(42));

auto type = ::arrow::decimal256(10, 2);

const auto& decimal_type = checked_cast<const DecimalType&>(*type);

ASSERT_OK(internal::DecimalFromPyObject(python_long.obj(), decimal_type, &value));

ASSERT_EQ(4200, value);

return Status::OK();

}

Status TestDecimal128OverflowFails() {

Decimal128 value;

OwnedRef decimal_constructor_;

OwnedRef decimal_module;

RETURN_NOT_OK(internal::ImportModule("decimal", &decimal_module));

RETURN_NOT_OK(

internal::ImportFromModule(decimal_module.obj(), "Decimal", &decimal_constructor_));

std::string decimal_string("9999999999999999999999999999999999999.9");

PyObject* python_decimal =

internal::DecimalFromString(decimal_constructor_.obj(), decimal_string);

internal::DecimalMetadata metadata;

ASSERT_OK(metadata.Update(python_decimal));

ASSERT_EQ(38, metadata.precision());

ASSERT_EQ(1, metadata.scale());

auto type = ::arrow::smallest_decimal(38, 38);

const auto& decimal_type = checked_cast<const DecimalType&>(*type);

ASSERT_RAISES(Invalid,

internal::DecimalFromPythonDecimal(python_decimal, decimal_type, &value));

return Status::OK();

}

Status TestDecimal256OverflowFails() {

Decimal256 value;

OwnedRef decimal_constructor_;

OwnedRef decimal_module;

RETURN_NOT_OK(internal::ImportModule("decimal", &decimal_module));

RETURN_NOT_OK(

internal::ImportFromModule(decimal_module.obj(), "Decimal", &decimal_constructor_));

std::string decimal_string(

"999999999999999999999999999999999999999999999999999999999999999999999999999.9");

PyObject* python_decimal =

internal::DecimalFromString(decimal_constructor_.obj(), decimal_string);

internal::DecimalMetadata metadata;

ASSERT_OK(metadata.Update(python_decimal));

ASSERT_EQ(76, metadata.precision());

ASSERT_EQ(1, metadata.scale());

auto type = ::arrow::smallest_decimal(76, 76);

const auto& decimal_type = checked_cast<const DecimalType&>(*type);

ASSERT_RAISES(Invalid,

internal::DecimalFromPythonDecimal(python_decimal, decimal_type, &value));

return Status::OK();

}

Status TestNoneAndNaN() {

OwnedRef list_ref(PyList_New(4));

PyObject* list = list_ref.obj();

ASSERT_NE(list, nullptr);

OwnedRef decimal_constructor_;

OwnedRef decimal_module;

RETURN_NOT_OK(internal::ImportModule("decimal", &decimal_module));

RETURN_NOT_OK(

internal::ImportFromModule(decimal_module.obj(), "Decimal", &decimal_constructor_));

PyObject* constructor = decimal_constructor_.obj();

PyObject* decimal_value = internal::DecimalFromString(constructor, "1.234");

ASSERT_NE(decimal_value, nullptr);

Py_INCREF(Py_None);

PyObject* missing_value1 = Py_None;

ASSERT_NE(missing_value1, nullptr);

PyObject* missing_value2 = PyFloat_FromDouble(NPY_NAN);

ASSERT_NE(missing_value2, nullptr);

PyObject* missing_value3 = internal::DecimalFromString(constructor, "nan");

ASSERT_NE(missing_value3, nullptr);

// This steals a reference to each object, so we don't need to decref them later,

// just the list

ASSERT_EQ(0, PyList_SetItem(list, 0, decimal_value));

ASSERT_EQ(0, PyList_SetItem(list, 1, missing_value1));

ASSERT_EQ(0, PyList_SetItem(list, 2, missing_value2));

ASSERT_EQ(0, PyList_SetItem(list, 3, missing_value3));

PyConversionOptions options;

ASSERT_RAISES(TypeError, ConvertPySequence(list, nullptr, options));

options.from_pandas = true;

auto chunked = std::move(ConvertPySequence(list, nullptr, options)).ValueOrDie();

ASSERT_EQ(chunked->num_chunks(), 1);

auto arr = chunked->chunk(0);

ASSERT_TRUE(arr->IsValid(0));

ASSERT_TRUE(arr->IsNull(1));

ASSERT_TRUE(arr->IsNull(2));

ASSERT_TRUE(arr->IsNull(3));

return Status::OK();

}

Status TestMixedPrecisionAndScale() {

std::vector<std::string> strings{{"0.001", "1.01E5", "1.01E5"}};

OwnedRef list_ref(PyList_New(static_cast<Py_ssize_t>(strings.size())));

PyObject* list = list_ref.obj();

ASSERT_NE(list, nullptr);

OwnedRef decimal_constructor_;

OwnedRef decimal_module;

RETURN_NOT_OK(internal::ImportModule("decimal", &decimal_module));

RETURN_NOT_OK(

internal::ImportFromModule(decimal_module.obj(), "Decimal", &decimal_constructor_));

// PyList_SetItem steals a reference to the item so we don't decref it later

PyObject* decimal_constructor = decimal_constructor_.obj();

for (Py_ssize_t i = 0; i < static_cast<Py_ssize_t>(strings.size()); ++i) {

const int result = PyList_SetItem(

list, i, internal::DecimalFromString(decimal_constructor, strings.at(i)));

ASSERT_EQ(0, result);

}

auto arr = std::move(ConvertPySequence(list, nullptr, {})).ValueOrDie();

const auto& type = checked_cast<const DecimalType&>(*arr->type());

int32_t expected_precision = 9;

int32_t expected_scale = 3;

ASSERT_EQ(expected_precision, type.precision());

ASSERT_EQ(expected_scale, type.scale());

return Status::OK();

}

Status TestMixedPrecisionAndScaleSequenceConvert() {

OwnedRef decimal_constructor_;

OwnedRef decimal_module;

RETURN_NOT_OK(internal::ImportModule("decimal", &decimal_module));

RETURN_NOT_OK(

internal::ImportFromModule(decimal_module.obj(), "Decimal", &decimal_constructor_));

std::string decimal_string_1("0.01");

PyObject* value1 =

internal::DecimalFromString(decimal_constructor_.obj(), decimal_string_1);

ASSERT_NE(value1, nullptr);

std::string decimal_string_2("0.001");

PyObject* value2 =

internal::DecimalFromString(decimal_constructor_.obj(), decimal_string_2);

ASSERT_NE(value2, nullptr);

OwnedRef list_ref(PyList_New(2));

PyObject* list = list_ref.obj();

// This steals a reference to each object, so we don't need to decref them later

// just the list

ASSERT_EQ(PyList_SetItem(list, 0, value1), 0);

ASSERT_EQ(PyList_SetItem(list, 1, value2), 0);

auto arr = std::move(ConvertPySequence(list, nullptr, {})).ValueOrDie();

const auto& type = checked_cast<const Decimal128Type&>(*arr->type());

ASSERT_EQ(3, type.precision());

ASSERT_EQ(3, type.scale());

return Status::OK();

}

Status TestSimpleInference() {

OwnedRef decimal_constructor_;

OwnedRef decimal_module;

RETURN_NOT_OK(internal::ImportModule("decimal", &decimal_module));

RETURN_NOT_OK(

internal::ImportFromModule(decimal_module.obj(), "Decimal", &decimal_constructor_));

std::string decimal_string("0.01");

PyObject* value =

internal::DecimalFromString(decimal_constructor_.obj(), decimal_string);

ASSERT_NE(value, nullptr);

internal::DecimalMetadata metadata;

ASSERT_OK(metadata.Update(value));

ASSERT_EQ(2, metadata.precision());

ASSERT_EQ(2, metadata.scale());

return Status::OK();

}

Status TestUpdateWithNaN() {

internal::DecimalMetadata metadata;

OwnedRef decimal_constructor_;

OwnedRef decimal_module;

RETURN_NOT_OK(internal::ImportModule("decimal", &decimal_module));

RETURN_NOT_OK(

internal::ImportFromModule(decimal_module.obj(), "Decimal", &decimal_constructor_));

std::string decimal_string("nan");

PyObject* nan_value =

internal::DecimalFromString(decimal_constructor_.obj(), decimal_string);

ASSERT_OK(metadata.Update(nan_value));

ASSERT_EQ(std::numeric_limits<int32_t>::min(), metadata.precision());

ASSERT_EQ(std::numeric_limits<int32_t>::min(), metadata.scale());

return Status::OK();

}

} // namespace

std::vector<TestCase> GetCppTestCases() {

return {

{"test_owned_ref_moves", TestOwnedRefMoves},

{"test_owned_ref_nogil_moves", TestOwnedRefNoGILMoves},

{"test_check_pyerror_status", TestCheckPyErrorStatus},

{"test_check_pyerror_status_nogil", TestCheckPyErrorStatusNoGIL},

{"test_restore_pyerror_basics", TestRestorePyErrorBasics},

{"test_pybuffer_invalid_input_object", TestPyBufferInvalidInputObject},

#ifndef _WIN32

{"test_pybuffer_numpy_array", TestPyBufferNumpyArray},

{"test_numpybuffer_numpy_array", TestNumPyBufferNumpyArray},

#endif

{"test_python_decimal_to_string", TestPythonDecimalToString},

{"test_infer_precision_and_scale", TestInferPrecisionAndScale},

{"test_infer_precision_and_negative_scale", TestInferPrecisionAndNegativeScale},

{"test_infer_all_leading_zeros", TestInferAllLeadingZeros},

{"test_infer_all_leading_zeros_exponential_notation_positive",

TestInferAllLeadingZerosExponentialNotationPositive},

{"test_infer_all_leading_zeros_exponential_notation_negative",

TestInferAllLeadingZerosExponentialNotationNegative},

{"test_object_block_write_fails_pandas_convert", TestObjectBlockWriteFails},

{"test_mixed_type_fails", TestMixedTypeFails},

{"test_from_python_decimal_rescale_not_truncateable",

TestFromPythonDecimalRescaleNotTruncateable},

{"test_from_python_decimal_rescale_truncateable",

TestFromPythonDecimalRescaleTruncateable},

{"test_from_python_negative_decimal_rescale", TestFromPythonNegativeDecimalRescale},

{"test_decimal128_from_python_integer", TestDecimal128FromPythonInteger},

{"test_decimal256_from_python_integer", TestDecimal256FromPythonInteger},

{"test_decimal128_overflow_fails", TestDecimal128OverflowFails},

{"test_decimal256_overflow_fails", TestDecimal256OverflowFails},

{"test_none_and_nan", TestNoneAndNaN},

{"test_mixed_precision_and_scale", TestMixedPrecisionAndScale},

{"test_mixed_precision_and_scale_sequence_convert",

TestMixedPrecisionAndScaleSequenceConvert},

{"test_simple_inference", TestSimpleInference},

{"test_update_with_nan", TestUpdateWithNaN},

};

}

} // namespace testing

} // namespace py

} // namespace arrow