venv/lib/python3.10/site-packages/pyarrow/include/arrow/array/util.h

// 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.

#pragma once

#include <cstdint>
#include <memory>
#include <vector>

#include "arrow/array/data.h"
#include "arrow/compare.h"
#include "arrow/result.h"
#include "arrow/status.h"
#include "arrow/type.h"
#include "arrow/util/macros.h"
#include "arrow/util/visibility.h"

namespace arrow {

/// \defgroup array-factories Array factory functions
///
/// @{

/// \brief Create a strongly-typed Array instance from generic ArrayData
/// \param[in] data the array contents
/// \return the resulting Array instance
ARROW_EXPORT
std::shared_ptr<Array> MakeArray(const std::shared_ptr<ArrayData>& data);

/// \brief Create a strongly-typed Array instance with all elements null
/// \param[in] type the array type
/// \param[in] length the array length
/// \param[in] pool the memory pool to allocate memory from
ARROW_EXPORT
Result<std::shared_ptr<Array>> MakeArrayOfNull(const std::shared_ptr<DataType>& type,
                                               int64_t length,
                                               MemoryPool* pool = default_memory_pool());

/// \brief Create an Array instance whose slots are the given scalar
/// \param[in] scalar the value with which to fill the array
/// \param[in] length the array length
/// \param[in] pool the memory pool to allocate memory from
ARROW_EXPORT
Result<std::shared_ptr<Array>> MakeArrayFromScalar(
    const Scalar& scalar, int64_t length, MemoryPool* pool = default_memory_pool());

/// \brief Create an empty Array of a given type
///
/// The output Array will be of the given type.
///
/// \param[in] type the data type of the empty Array
/// \param[in] pool the memory pool to allocate memory from
/// \return the resulting Array
ARROW_EXPORT
Result<std::shared_ptr<Array>> MakeEmptyArray(std::shared_ptr<DataType> type,
                                              MemoryPool* pool = default_memory_pool());

/// @}

namespace internal {

/// \brief Swap endian of each element in a generic ArrayData
///
/// As dictionaries are often shared between different arrays, dictionaries
/// are not swapped by this function and should be handled separately.
///
/// \param[in] data the array contents
/// \param[in] pool the memory pool to allocate memory from
/// \return the resulting ArrayData whose elements were swapped
ARROW_EXPORT
Result<std::shared_ptr<ArrayData>> SwapEndianArrayData(
    const std::shared_ptr<ArrayData>& data, MemoryPool* pool = default_memory_pool());

/// Given a number of ArrayVectors, treat each ArrayVector as the
/// chunks of a chunked array.  Then rechunk each ArrayVector such that
/// all ArrayVectors are chunked identically.  It is mandatory that
/// all ArrayVectors contain the same total number of elements.
ARROW_EXPORT
std::vector<ArrayVector> RechunkArraysConsistently(const std::vector<ArrayVector>&);

}  // namespace internal
}  // namespace arrow