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@@ -182,3 +182,5 @@ env-llmeval/lib/python3.10/site-packages/pyarrow/libarrow_dataset.so.1500 filter
 env-llmeval/lib/python3.10/site-packages/pyarrow/_flight.cpython-310-x86_64-linux-gnu.so filter=lfs diff=lfs merge=lfs -text
 env-llmeval/lib/python3.10/site-packages/pyarrow/libparquet.so.1500 filter=lfs diff=lfs merge=lfs -text
 env-llmeval/lib/python3.10/site-packages/pyarrow/libarrow_acero.so.1500 filter=lfs diff=lfs merge=lfs -text
+env-llmeval/lib/python3.10/site-packages/pyarrow/libarrow_substrait.so.1500 filter=lfs diff=lfs merge=lfs -text
+env-llmeval/lib/python3.10/site-packages/pyarrow/lib.cpython-310-x86_64-linux-gnu.so filter=lfs diff=lfs merge=lfs -text

env-llmeval/lib/python3.10/site-packages/pyarrow/include/arrow/adapters/orc/adapter.h

@@ -0,0 +1,323 @@
+// 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/adapters/orc/options.h"
+#include "arrow/io/interfaces.h"
+#include "arrow/memory_pool.h"
+#include "arrow/record_batch.h"
+#include "arrow/status.h"
+#include "arrow/type.h"
+#include "arrow/type_fwd.h"
+#include "arrow/util/macros.h"
+#include "arrow/util/visibility.h"
+
+namespace arrow {
+namespace adapters {
+namespace orc {
+
+/// \brief Information about an ORC stripe
+struct StripeInformation {
+  /// \brief Offset of the stripe from the start of the file, in bytes
+  int64_t offset;
+  /// \brief Length of the stripe, in bytes
+  int64_t length;
+  /// \brief Number of rows in the stripe
+  int64_t num_rows;
+  /// \brief Index of the first row of the stripe
+  int64_t first_row_id;
+};
+
+/// \class ORCFileReader
+/// \brief Read an Arrow Table or RecordBatch from an ORC file.
+class ARROW_EXPORT ORCFileReader {
+ public:
+  ~ORCFileReader();
+
+  /// \brief Creates a new ORC reader
+  ///
+  /// \param[in] file the data source
+  /// \param[in] pool a MemoryPool to use for buffer allocations
+  /// \return the returned reader object
+  static Result<std::unique_ptr<ORCFileReader>> Open(
+      const std::shared_ptr<io::RandomAccessFile>& file, MemoryPool* pool);
+
+  /// \brief Return the schema read from the ORC file
+  ///
+  /// \return the returned Schema object
+  Result<std::shared_ptr<Schema>> ReadSchema();
+
+  /// \brief Read the file as a Table
+  ///
+  /// The table will be composed of one record batch per stripe.
+  ///
+  /// \return the returned Table
+  Result<std::shared_ptr<Table>> Read();
+
+  /// \brief Read the file as a Table
+  ///
+  /// The table will be composed of one record batch per stripe.
+  ///
+  /// \param[in] schema the Table schema
+  /// \return the returned Table
+  Result<std::shared_ptr<Table>> Read(const std::shared_ptr<Schema>& schema);
+
+  /// \brief Read the file as a Table
+  ///
+  /// The table will be composed of one record batch per stripe.
+  ///
+  /// \param[in] include_indices the selected field indices to read
+  /// \return the returned Table
+  Result<std::shared_ptr<Table>> Read(const std::vector<int>& include_indices);
+
+  /// \brief Read the file as a Table
+  ///
+  /// The table will be composed of one record batch per stripe.
+  ///
+  /// \param[in] include_names the selected field names to read
+  /// \return the returned Table
+  Result<std::shared_ptr<Table>> Read(const std::vector<std::string>& include_names);
+
+  /// \brief Read the file as a Table
+  ///
+  /// The table will be composed of one record batch per stripe.
+  ///
+  /// \param[in] schema the Table schema
+  /// \param[in] include_indices the selected field indices to read
+  /// \return the returned Table
+  Result<std::shared_ptr<Table>> Read(const std::shared_ptr<Schema>& schema,
+                                      const std::vector<int>& include_indices);
+
+  /// \brief Read a single stripe as a RecordBatch
+  ///
+  /// \param[in] stripe the stripe index
+  /// \return the returned RecordBatch
+  Result<std::shared_ptr<RecordBatch>> ReadStripe(int64_t stripe);
+
+  /// \brief Read a single stripe as a RecordBatch
+  ///
+  /// \param[in] stripe the stripe index
+  /// \param[in] include_indices the selected field indices to read
+  /// \return the returned RecordBatch
+  Result<std::shared_ptr<RecordBatch>> ReadStripe(
+      int64_t stripe, const std::vector<int>& include_indices);
+
+  /// \brief Read a single stripe as a RecordBatch
+  ///
+  /// \param[in] stripe the stripe index
+  /// \param[in] include_names the selected field names to read
+  /// \return the returned RecordBatch
+  Result<std::shared_ptr<RecordBatch>> ReadStripe(
+      int64_t stripe, const std::vector<std::string>& include_names);
+
+  /// \brief Seek to designated row. Invoke NextStripeReader() after seek
+  ///        will return stripe reader starting from designated row.
+  ///
+  /// \param[in] row_number the rows number to seek
+  Status Seek(int64_t row_number);
+
+  /// \brief Get a stripe level record batch iterator.
+  ///
+  /// Each record batch will have up to `batch_size` rows.
+  /// NextStripeReader serves as a fine-grained alternative to ReadStripe
+  /// which may cause OOM issues by loading the whole stripe into memory.
+  ///
+  /// Note this will only read rows for the current stripe, not the entire
+  /// file.
+  ///
+  /// \param[in] batch_size the maximum number of rows in each record batch
+  /// \return the returned stripe reader
+  Result<std::shared_ptr<RecordBatchReader>> NextStripeReader(int64_t batch_size);
+
+  /// \brief Get a stripe level record batch iterator.
+  ///
+  /// Each record batch will have up to `batch_size` rows.
+  /// NextStripeReader serves as a fine-grained alternative to ReadStripe
+  /// which may cause OOM issues by loading the whole stripe into memory.
+  ///
+  /// Note this will only read rows for the current stripe, not the entire
+  /// file.
+  ///
+  /// \param[in] batch_size the maximum number of rows in each record batch
+  /// \param[in] include_indices the selected field indices to read
+  /// \return the stripe reader
+  Result<std::shared_ptr<RecordBatchReader>> NextStripeReader(
+      int64_t batch_size, const std::vector<int>& include_indices);
+
+  /// \brief Get a record batch iterator for the entire file.
+  ///
+  /// Each record batch will have up to `batch_size` rows.
+  ///
+  /// \param[in] batch_size the maximum number of rows in each record batch
+  /// \param[in] include_names the selected field names to read, if not empty
+  /// (otherwise all fields are read)
+  /// \return the record batch iterator
+  Result<std::shared_ptr<RecordBatchReader>> GetRecordBatchReader(
+      int64_t batch_size, const std::vector<std::string>& include_names);
+
+  /// \brief The number of stripes in the file
+  int64_t NumberOfStripes();
+
+  /// \brief The number of rows in the file
+  int64_t NumberOfRows();
+
+  /// \brief StripeInformation for each stripe.
+  StripeInformation GetStripeInformation(int64_t stripe);
+
+  /// \brief Get the format version of the file.
+  ///         Currently known values are 0.11 and 0.12.
+  ///
+  /// \return The FileVersion of the ORC file.
+  FileVersion GetFileVersion();
+
+  /// \brief Get the software instance and version that wrote this file.
+  ///
+  /// \return a user-facing string that specifies the software version
+  std::string GetSoftwareVersion();
+
+  /// \brief Get the compression kind of the file.
+  ///
+  /// \return The kind of compression in the ORC file.
+  Result<Compression::type> GetCompression();
+
+  /// \brief Get the buffer size for the compression.
+  ///
+  /// \return Number of bytes to buffer for the compression codec.
+  int64_t GetCompressionSize();
+
+  /// \brief Get the number of rows per an entry in the row index.
+  /// \return the number of rows per an entry in the row index or 0 if there
+  ///          is no row index.
+  int64_t GetRowIndexStride();
+
+  /// \brief Get ID of writer that generated the file.
+  ///
+  /// \return UNKNOWN_WRITER if the writer ID is undefined
+  WriterId GetWriterId();
+
+  /// \brief Get the writer id value when getWriterId() returns an unknown writer.
+  ///
+  /// \return the integer value of the writer ID.
+  int32_t GetWriterIdValue();
+
+  /// \brief Get the version of the writer.
+  ///
+  /// \return the version of the writer.
+
+  WriterVersion GetWriterVersion();
+
+  /// \brief Get the number of stripe statistics in the file.
+  ///
+  /// \return the number of stripe statistics
+  int64_t GetNumberOfStripeStatistics();
+
+  /// \brief Get the length of the data stripes in the file.
+  ///
+  /// \return return the number of bytes in stripes
+  int64_t GetContentLength();
+
+  /// \brief Get the length of the file stripe statistics.
+  ///
+  /// \return the number of compressed bytes in the file stripe statistics
+  int64_t GetStripeStatisticsLength();
+
+  /// \brief Get the length of the file footer.
+  ///
+  /// \return the number of compressed bytes in the file footer
+  int64_t GetFileFooterLength();
+
+  /// \brief Get the length of the file postscript.
+  ///
+  /// \return the number of bytes in the file postscript
+  int64_t GetFilePostscriptLength();
+
+  /// \brief Get the total length of the file.
+  ///
+  /// \return the number of bytes in the file
+  int64_t GetFileLength();
+
+  /// \brief Get the serialized file tail.
+  ///         Useful if another reader of the same file wants to avoid re-reading
+  ///         the file tail. See ReadOptions.SetSerializedFileTail().
+  ///
+  /// \return a string of bytes with the file tail
+  std::string GetSerializedFileTail();
+
+  /// \brief Return the metadata read from the ORC file
+  ///
+  /// \return A KeyValueMetadata object containing the ORC metadata
+  Result<std::shared_ptr<const KeyValueMetadata>> ReadMetadata();
+
+ private:
+  class Impl;
+  std::unique_ptr<Impl> impl_;
+  ORCFileReader();
+};
+
+/// \class ORCFileWriter
+/// \brief Write an Arrow Table or RecordBatch to an ORC file.
+class ARROW_EXPORT ORCFileWriter {
+ public:
+  ~ORCFileWriter();
+  /// \brief Creates a new ORC writer.
+  ///
+  /// \param[in] output_stream a pointer to the io::OutputStream to write into
+  /// \param[in] write_options the ORC writer options for Arrow
+  /// \return the returned writer object
+  static Result<std::unique_ptr<ORCFileWriter>> Open(
+      io::OutputStream* output_stream,
+      const WriteOptions& write_options = WriteOptions());
+
+  /// \brief Write a table. This can be called multiple times.
+  ///
+  /// Tables passed in subsequent calls must match the schema of the table that was
+  /// written first.
+  ///
+  /// \param[in] table the Arrow table from which data is extracted.
+  /// \return Status
+  Status Write(const Table& table);
+
+  /// \brief Write a RecordBatch. This can be called multiple times.
+  ///
+  /// RecordBatches passed in subsequent calls must match the schema of the
+  /// RecordBatch that was written first.
+  ///
+  /// \param[in] record_batch the Arrow RecordBatch from which data is extracted.
+  /// \return Status
+  Status Write(const RecordBatch& record_batch);
+
+  /// \brief Close an ORC writer (orc::Writer)
+  ///
+  /// \return Status
+  Status Close();
+
+ private:
+  class Impl;
+  std::unique_ptr<Impl> impl_;
+
+ private:
+  ORCFileWriter();
+};
+
+}  // namespace orc
+}  // namespace adapters
+}  // namespace arrow

env-llmeval/lib/python3.10/site-packages/pyarrow/include/arrow/adapters/orc/options.h

@@ -0,0 +1,120 @@
+// 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 <vector>
+
+#include "arrow/io/interfaces.h"
+#include "arrow/status.h"
+#include "arrow/util/type_fwd.h"
+#include "arrow/util/visibility.h"
+
+namespace arrow {
+
+namespace adapters {
+
+namespace orc {
+
+enum class WriterId : int32_t {
+  kOrcJava = 0,
+  kOrcCpp = 1,
+  kPresto = 2,
+  kScritchleyGo = 3,
+  kTrino = 4,
+  kUnknown = INT32_MAX
+};
+
+enum class WriterVersion : int32_t {
+  kOriginal = 0,
+  kHive8732 = 1,
+  kHive4243 = 2,
+  kHive12055 = 3,
+  kHive13083 = 4,
+  kOrc101 = 5,
+  kOrc135 = 6,
+  kOrc517 = 7,
+  kOrc203 = 8,
+  kOrc14 = 9,
+  kMax = INT32_MAX
+};
+
+enum class CompressionStrategy : int32_t { kSpeed = 0, kCompression };
+
+class ARROW_EXPORT FileVersion {
+ private:
+  int32_t major_version_;
+  int32_t minor_version_;
+
+ public:
+  static const FileVersion& v_0_11();
+  static const FileVersion& v_0_12();
+
+  FileVersion(int32_t major, int32_t minor)
+      : major_version_(major), minor_version_(minor) {}
+
+  /**
+   * Get major version
+   */
+  int32_t major_version() const { return this->major_version_; }
+
+  /**
+   * Get minor version
+   */
+  int32_t minor_version() const { return this->minor_version_; }
+
+  bool operator==(const FileVersion& right) const {
+    return this->major_version() == right.major_version() &&
+           this->minor_version() == right.minor_version();
+  }
+
+  bool operator!=(const FileVersion& right) const { return !(*this == right); }
+
+  std::string ToString() const;
+};
+
+/// Options for the ORC Writer
+struct ARROW_EXPORT WriteOptions {
+  /// Number of rows the ORC writer writes at a time, default 1024
+  int64_t batch_size = 1024;
+  /// Which ORC file version to use, default FileVersion(0, 12)
+  FileVersion file_version = FileVersion(0, 12);
+  /// Size of each ORC stripe in bytes, default 64 MiB
+  int64_t stripe_size = 64 * 1024 * 1024;
+  /// The compression codec of the ORC file, there is no compression by default
+  Compression::type compression = Compression::UNCOMPRESSED;
+  /// The size of each compression block in bytes, default 64 KiB
+  int64_t compression_block_size = 64 * 1024;
+  /// The compression strategy i.e. speed vs size reduction, default
+  /// CompressionStrategy::kSpeed
+  CompressionStrategy compression_strategy = CompressionStrategy::kSpeed;
+  /// The number of rows per an entry in the row index, default 10000
+  int64_t row_index_stride = 10000;
+  /// The padding tolerance, default 0.0
+  double padding_tolerance = 0.0;
+  /// The dictionary key size threshold. 0 to disable dictionary encoding.
+  /// 1 to always enable dictionary encoding, default 0.0
+  double dictionary_key_size_threshold = 0.0;
+  /// The array of columns that use the bloom filter, default empty
+  std::vector<int64_t> bloom_filter_columns;
+  /// The upper limit of the false-positive rate of the bloom filter, default 0.05
+  double bloom_filter_fpp = 0.05;
+};
+
+}  // namespace orc
+}  // namespace adapters
+}  // namespace arrow

env-llmeval/lib/python3.10/site-packages/pyarrow/include/arrow/adapters/tensorflow/convert.h

@@ -0,0 +1,128 @@
+// 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 <memory>
+
+#include "tensorflow/core/framework/op.h"
+
+#include "arrow/type.h"
+
+// These utilities are supposed to be included in TensorFlow operators
+// that need to be compiled separately from Arrow because of ABI issues.
+// They therefore need to be header-only.
+
+namespace arrow {
+
+namespace adapters {
+
+namespace tensorflow {
+
+Status GetArrowType(::tensorflow::DataType dtype, std::shared_ptr<DataType>* out) {
+  switch (dtype) {
+    case ::tensorflow::DT_BOOL:
+      *out = arrow::boolean();
+      break;
+    case ::tensorflow::DT_FLOAT:
+      *out = arrow::float32();
+      break;
+    case ::tensorflow::DT_DOUBLE:
+      *out = arrow::float64();
+      break;
+    case ::tensorflow::DT_HALF:
+      *out = arrow::float16();
+      break;
+    case ::tensorflow::DT_INT8:
+      *out = arrow::int8();
+      break;
+    case ::tensorflow::DT_INT16:
+      *out = arrow::int16();
+      break;
+    case ::tensorflow::DT_INT32:
+      *out = arrow::int32();
+      break;
+    case ::tensorflow::DT_INT64:
+      *out = arrow::int64();
+      break;
+    case ::tensorflow::DT_UINT8:
+      *out = arrow::uint8();
+      break;
+    case ::tensorflow::DT_UINT16:
+      *out = arrow::uint16();
+      break;
+    case ::tensorflow::DT_UINT32:
+      *out = arrow::uint32();
+      break;
+    case ::tensorflow::DT_UINT64:
+      *out = arrow::uint64();
+      break;
+    default:
+      return Status::TypeError("TensorFlow data type is not supported");
+  }
+  return Status::OK();
+}
+
+Status GetTensorFlowType(std::shared_ptr<DataType> dtype, ::tensorflow::DataType* out) {
+  switch (dtype->id()) {
+    case Type::BOOL:
+      *out = ::tensorflow::DT_BOOL;
+      break;
+    case Type::UINT8:
+      *out = ::tensorflow::DT_UINT8;
+      break;
+    case Type::INT8:
+      *out = ::tensorflow::DT_INT8;
+      break;
+    case Type::UINT16:
+      *out = ::tensorflow::DT_UINT16;
+      break;
+    case Type::INT16:
+      *out = ::tensorflow::DT_INT16;
+      break;
+    case Type::UINT32:
+      *out = ::tensorflow::DT_UINT32;
+      break;
+    case Type::INT32:
+      *out = ::tensorflow::DT_INT32;
+      break;
+    case Type::UINT64:
+      *out = ::tensorflow::DT_UINT64;
+      break;
+    case Type::INT64:
+      *out = ::tensorflow::DT_INT64;
+      break;
+    case Type::HALF_FLOAT:
+      *out = ::tensorflow::DT_HALF;
+      break;
+    case Type::FLOAT:
+      *out = ::tensorflow::DT_FLOAT;
+      break;
+    case Type::DOUBLE:
+      *out = ::tensorflow::DT_DOUBLE;
+      break;
+    default:
+      return Status::TypeError("Arrow data type is not supported");
+  }
+  return arrow::Status::OK();
+}
+
+}  // namespace tensorflow
+
+}  // namespace adapters
+
+}  // namespace arrow

env-llmeval/lib/python3.10/site-packages/pyarrow/include/arrow/c/abi.h

@@ -0,0 +1,233 @@
+// 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.
+
+/// \file abi.h Arrow C Data Interface
+///
+/// The Arrow C Data interface defines a very small, stable set
+/// of C definitions which can be easily copied into any project's
+/// source code and vendored to be used for columnar data interchange
+/// in the Arrow format. For non-C/C++ languages and runtimes,
+/// it should be almost as easy to translate the C definitions into
+/// the corresponding C FFI declarations.
+///
+/// Applications and libraries can therefore work with Arrow memory
+/// without necessarily using the Arrow libraries or reinventing
+/// the wheel. Developers can choose between tight integration
+/// with the Arrow software project or minimal integration with
+/// the Arrow format only.
+
+#pragma once
+
+#include <stdint.h>
+
+// Spec and documentation: https://arrow.apache.org/docs/format/CDataInterface.html
+
+#ifdef __cplusplus
+extern "C" {
+#endif
+
+#ifndef ARROW_C_DATA_INTERFACE
+#define ARROW_C_DATA_INTERFACE
+
+#define ARROW_FLAG_DICTIONARY_ORDERED 1
+#define ARROW_FLAG_NULLABLE 2
+#define ARROW_FLAG_MAP_KEYS_SORTED 4
+
+struct ArrowSchema {
+  // Array type description
+  const char* format;
+  const char* name;
+  const char* metadata;
+  int64_t flags;
+  int64_t n_children;
+  struct ArrowSchema** children;
+  struct ArrowSchema* dictionary;
+
+  // Release callback
+  void (*release)(struct ArrowSchema*);
+  // Opaque producer-specific data
+  void* private_data;
+};
+
+struct ArrowArray {
+  // Array data description
+  int64_t length;
+  int64_t null_count;
+  int64_t offset;
+  int64_t n_buffers;
+  int64_t n_children;
+  const void** buffers;
+  struct ArrowArray** children;
+  struct ArrowArray* dictionary;
+
+  // Release callback
+  void (*release)(struct ArrowArray*);
+  // Opaque producer-specific data
+  void* private_data;
+};
+
+#endif  // ARROW_C_DATA_INTERFACE
+
+#ifndef ARROW_C_DEVICE_DATA_INTERFACE
+#define ARROW_C_DEVICE_DATA_INTERFACE
+
+// Spec and Documentation: https://arrow.apache.org/docs/format/CDeviceDataInterface.html
+
+// DeviceType for the allocated memory
+typedef int32_t ArrowDeviceType;
+
+// CPU device, same as using ArrowArray directly
+#define ARROW_DEVICE_CPU 1
+// CUDA GPU Device
+#define ARROW_DEVICE_CUDA 2
+// Pinned CUDA CPU memory by cudaMallocHost
+#define ARROW_DEVICE_CUDA_HOST 3
+// OpenCL Device
+#define ARROW_DEVICE_OPENCL 4
+// Vulkan buffer for next-gen graphics
+#define ARROW_DEVICE_VULKAN 7
+// Metal for Apple GPU
+#define ARROW_DEVICE_METAL 8
+// Verilog simulator buffer
+#define ARROW_DEVICE_VPI 9
+// ROCm GPUs for AMD GPUs
+#define ARROW_DEVICE_ROCM 10
+// Pinned ROCm CPU memory allocated by hipMallocHost
+#define ARROW_DEVICE_ROCM_HOST 11
+// Reserved for extension
+#define ARROW_DEVICE_EXT_DEV 12
+// CUDA managed/unified memory allocated by cudaMallocManaged
+#define ARROW_DEVICE_CUDA_MANAGED 13
+// unified shared memory allocated on a oneAPI non-partitioned device.
+#define ARROW_DEVICE_ONEAPI 14
+// GPU support for next-gen WebGPU standard
+#define ARROW_DEVICE_WEBGPU 15
+// Qualcomm Hexagon DSP
+#define ARROW_DEVICE_HEXAGON 16
+
+struct ArrowDeviceArray {
+  // the Allocated Array
+  //
+  // the buffers in the array (along with the buffers of any
+  // children) are what is allocated on the device.
+  struct ArrowArray array;
+  // The device id to identify a specific device
+  int64_t device_id;
+  // The type of device which can access this memory.
+  ArrowDeviceType device_type;
+  // An event-like object to synchronize on if needed.
+  void* sync_event;
+  // Reserved bytes for future expansion.
+  int64_t reserved[3];
+};
+
+#endif  // ARROW_C_DEVICE_DATA_INTERFACE
+
+#ifndef ARROW_C_STREAM_INTERFACE
+#define ARROW_C_STREAM_INTERFACE
+
+struct ArrowArrayStream {
+  // Callback to get the stream type
+  // (will be the same for all arrays in the stream).
+  //
+  // Return value: 0 if successful, an `errno`-compatible error code otherwise.
+  //
+  // If successful, the ArrowSchema must be released independently from the stream.
+  int (*get_schema)(struct ArrowArrayStream*, struct ArrowSchema* out);
+
+  // Callback to get the next array
+  // (if no error and the array is released, the stream has ended)
+  //
+  // Return value: 0 if successful, an `errno`-compatible error code otherwise.
+  //
+  // If successful, the ArrowArray must be released independently from the stream.
+  int (*get_next)(struct ArrowArrayStream*, struct ArrowArray* out);
+
+  // Callback to get optional detailed error information.
+  // This must only be called if the last stream operation failed
+  // with a non-0 return code.
+  //
+  // Return value: pointer to a null-terminated character array describing
+  // the last error, or NULL if no description is available.
+  //
+  // The returned pointer is only valid until the next operation on this stream
+  // (including release).
+  const char* (*get_last_error)(struct ArrowArrayStream*);
+
+  // Release callback: release the stream's own resources.
+  // Note that arrays returned by `get_next` must be individually released.
+  void (*release)(struct ArrowArrayStream*);
+
+  // Opaque producer-specific data
+  void* private_data;
+};
+
+#endif  // ARROW_C_STREAM_INTERFACE
+
+#ifndef ARROW_C_DEVICE_STREAM_INTERFACE
+#define ARROW_C_DEVICE_STREAM_INTERFACE
+
+// Equivalent to ArrowArrayStream, but for ArrowDeviceArrays.
+//
+// This stream is intended to provide a stream of data on a single
+// device, if a producer wants data to be produced on multiple devices
+// then multiple streams should be provided. One per device.
+struct ArrowDeviceArrayStream {
+  // The device that this stream produces data on.
+  ArrowDeviceType device_type;
+
+  // Callback to get the stream schema
+  // (will be the same for all arrays in the stream).
+  //
+  // Return value 0 if successful, an `errno`-compatible error code otherwise.
+  //
+  // If successful, the ArrowSchema must be released independently from the stream.
+  // The schema should be accessible via CPU memory.
+  int (*get_schema)(struct ArrowDeviceArrayStream* self, struct ArrowSchema* out);
+
+  // Callback to get the next array
+  // (if no error and the array is released, the stream has ended)
+  //
+  // Return value: 0 if successful, an `errno`-compatible error code otherwise.
+  //
+  // If successful, the ArrowDeviceArray must be released independently from the stream.
+  int (*get_next)(struct ArrowDeviceArrayStream* self, struct ArrowDeviceArray* out);
+
+  // Callback to get optional detailed error information.
+  // This must only be called if the last stream operation failed
+  // with a non-0 return code.
+  //
+  // Return value: pointer to a null-terminated character array describing
+  // the last error, or NULL if no description is available.
+  //
+  // The returned pointer is only valid until the next operation on this stream
+  // (including release).
+  const char* (*get_last_error)(struct ArrowDeviceArrayStream* self);
+
+  // Release callback: release the stream's own resources.
+  // Note that arrays returned by `get_next` must be individually released.
+  void (*release)(struct ArrowDeviceArrayStream* self);
+
+  // Opaque producer-specific data
+  void* private_data;
+};
+
+#endif  // ARROW_C_DEVICE_STREAM_INTERFACE
+
+#ifdef __cplusplus
+}
+#endif

env-llmeval/lib/python3.10/site-packages/pyarrow/include/arrow/c/dlpack.h

@@ -0,0 +1,51 @@
+// 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 "arrow/array/array_base.h"
+#include "arrow/c/dlpack_abi.h"
+
+namespace arrow::dlpack {
+
+/// \brief Export Arrow array as DLPack tensor.
+///
+/// DLMangedTensor is produced as defined by the DLPack protocol,
+/// see https://dmlc.github.io/dlpack/latest/.
+///
+/// Data types for which the protocol is supported are
+/// integer and floating-point data types.
+///
+/// DLPack protocol only supports arrays with one contiguous
+/// memory region which means Arrow Arrays with validity buffers
+/// are not supported.
+///
+/// \param[in] arr Arrow array
+/// \return DLManagedTensor struct
+ARROW_EXPORT
+Result<DLManagedTensor*> ExportArray(const std::shared_ptr<Array>& arr);
+
+/// \brief Get DLDevice with enumerator specifying the
+/// type of the device data is stored on and index of the
+/// device which is 0 by default for CPU.
+///
+/// \param[in] arr Arrow array
+/// \return DLDevice struct
+ARROW_EXPORT
+Result<DLDevice> ExportDevice(const std::shared_ptr<Array>& arr);
+
+}  // namespace arrow::dlpack

env-llmeval/lib/python3.10/site-packages/pyarrow/include/arrow/c/dlpack_abi.h

@@ -0,0 +1,321 @@
+// Taken from:
+// https://github.com/dmlc/dlpack/blob/ca4d00ad3e2e0f410eeab3264d21b8a39397f362/include/dlpack/dlpack.h
+/*!
+ *  Copyright (c) 2017 by Contributors
+ * \file dlpack.h
+ * \brief The common header of DLPack.
+ */
+#ifndef DLPACK_DLPACK_H_
+#define DLPACK_DLPACK_H_
+
+/**
+ * \brief Compatibility with C++
+ */
+#ifdef __cplusplus
+#define DLPACK_EXTERN_C extern "C"
+#else
+#define DLPACK_EXTERN_C
+#endif
+
+/*! \brief The current major version of dlpack */
+#define DLPACK_MAJOR_VERSION 1
+
+/*! \brief The current minor version of dlpack */
+#define DLPACK_MINOR_VERSION 0
+
+/*! \brief DLPACK_DLL prefix for windows */
+#ifdef _WIN32
+#ifdef DLPACK_EXPORTS
+#define DLPACK_DLL __declspec(dllexport)
+#else
+#define DLPACK_DLL __declspec(dllimport)
+#endif
+#else
+#define DLPACK_DLL
+#endif
+
+#include <stddef.h>
+#include <stdint.h>
+
+#ifdef __cplusplus
+extern "C" {
+#endif
+
+/*!
+ * \brief The DLPack version.
+ *
+ * A change in major version indicates that we have changed the
+ * data layout of the ABI - DLManagedTensorVersioned.
+ *
+ * A change in minor version indicates that we have added new
+ * code, such as a new device type, but the ABI is kept the same.
+ *
+ * If an obtained DLPack tensor has a major version that disagrees
+ * with the version number specified in this header file
+ * (i.e. major != DLPACK_MAJOR_VERSION), the consumer must call the deleter
+ * (and it is safe to do so). It is not safe to access any other fields
+ * as the memory layout will have changed.
+ *
+ * In the case of a minor version mismatch, the tensor can be safely used as
+ * long as the consumer knows how to interpret all fields. Minor version
+ * updates indicate the addition of enumeration values.
+ */
+typedef struct {
+  /*! \brief DLPack major version. */
+  uint32_t major;
+  /*! \brief DLPack minor version. */
+  uint32_t minor;
+} DLPackVersion;
+
+/*!
+ * \brief The device type in DLDevice.
+ */
+#ifdef __cplusplus
+typedef enum : int32_t {
+#else
+typedef enum {
+#endif
+  /*! \brief CPU device */
+  kDLCPU = 1,
+  /*! \brief CUDA GPU device */
+  kDLCUDA = 2,
+  /*!
+   * \brief Pinned CUDA CPU memory by cudaMallocHost
+   */
+  kDLCUDAHost = 3,
+  /*! \brief OpenCL devices. */
+  kDLOpenCL = 4,
+  /*! \brief Vulkan buffer for next generation graphics. */
+  kDLVulkan = 7,
+  /*! \brief Metal for Apple GPU. */
+  kDLMetal = 8,
+  /*! \brief Verilog simulator buffer */
+  kDLVPI = 9,
+  /*! \brief ROCm GPUs for AMD GPUs */
+  kDLROCM = 10,
+  /*!
+   * \brief Pinned ROCm CPU memory allocated by hipMallocHost
+   */
+  kDLROCMHost = 11,
+  /*!
+   * \brief Reserved extension device type,
+   * used for quickly test extension device
+   * The semantics can differ depending on the implementation.
+   */
+  kDLExtDev = 12,
+  /*!
+   * \brief CUDA managed/unified memory allocated by cudaMallocManaged
+   */
+  kDLCUDAManaged = 13,
+  /*!
+   * \brief Unified shared memory allocated on a oneAPI non-partititioned
+   * device. Call to oneAPI runtime is required to determine the device
+   * type, the USM allocation type and the sycl context it is bound to.
+   *
+   */
+  kDLOneAPI = 14,
+  /*! \brief GPU support for next generation WebGPU standard. */
+  kDLWebGPU = 15,
+  /*! \brief Qualcomm Hexagon DSP */
+  kDLHexagon = 16,
+} DLDeviceType;
+
+/*!
+ * \brief A Device for Tensor and operator.
+ */
+typedef struct {
+  /*! \brief The device type used in the device. */
+  DLDeviceType device_type;
+  /*!
+   * \brief The device index.
+   * For vanilla CPU memory, pinned memory, or managed memory, this is set to 0.
+   */
+  int32_t device_id;
+} DLDevice;
+
+/*!
+ * \brief The type code options DLDataType.
+ */
+typedef enum {
+  /*! \brief signed integer */
+  kDLInt = 0U,
+  /*! \brief unsigned integer */
+  kDLUInt = 1U,
+  /*! \brief IEEE floating point */
+  kDLFloat = 2U,
+  /*!
+   * \brief Opaque handle type, reserved for testing purposes.
+   * Frameworks need to agree on the handle data type for the exchange to be well-defined.
+   */
+  kDLOpaqueHandle = 3U,
+  /*! \brief bfloat16 */
+  kDLBfloat = 4U,
+  /*!
+   * \brief complex number
+   * (C/C++/Python layout: compact struct per complex number)
+   */
+  kDLComplex = 5U,
+  /*! \brief boolean */
+  kDLBool = 6U,
+} DLDataTypeCode;
+
+/*!
+ * \brief The data type the tensor can hold. The data type is assumed to follow the
+ * native endian-ness. An explicit error message should be raised when attempting to
+ * export an array with non-native endianness
+ *
+ *  Examples
+ *   - float: type_code = 2, bits = 32, lanes = 1
+ *   - float4(vectorized 4 float): type_code = 2, bits = 32, lanes = 4
+ *   - int8: type_code = 0, bits = 8, lanes = 1
+ *   - std::complex<float>: type_code = 5, bits = 64, lanes = 1
+ *   - bool: type_code = 6, bits = 8, lanes = 1 (as per common array library convention,
+ * the underlying storage size of bool is 8 bits)
+ */
+typedef struct {
+  /*!
+   * \brief Type code of base types.
+   * We keep it uint8_t instead of DLDataTypeCode for minimal memory
+   * footprint, but the value should be one of DLDataTypeCode enum values.
+   * */
+  uint8_t code;
+  /*!
+   * \brief Number of bits, common choices are 8, 16, 32.
+   */
+  uint8_t bits;
+  /*! \brief Number of lanes in the type, used for vector types. */
+  uint16_t lanes;
+} DLDataType;
+
+/*!
+ * \brief Plain C Tensor object, does not manage memory.
+ */
+typedef struct {
+  /*!
+   * \brief The data pointer points to the allocated data. This will be CUDA
+   * device pointer or cl_mem handle in OpenCL. It may be opaque on some device
+   * types. This pointer is always aligned to 256 bytes as in CUDA. The
+   * `byte_offset` field should be used to point to the beginning of the data.
+   *
+   * Note that as of Nov 2021, multiply libraries (CuPy, PyTorch, TensorFlow,
+   * TVM, perhaps others) do not adhere to this 256 byte aligment requirement
+   * on CPU/CUDA/ROCm, and always use `byte_offset=0`.  This must be fixed
+   * (after which this note will be updated); at the moment it is recommended
+   * to not rely on the data pointer being correctly aligned.
+   *
+   * For given DLTensor, the size of memory required to store the contents of
+   * data is calculated as follows:
+   *
+   * \code{.c}
+   * static inline size_t GetDataSize(const DLTensor* t) {
+   *   size_t size = 1;
+   *   for (tvm_index_t i = 0; i < t->ndim; ++i) {
+   *     size *= t->shape[i];
+   *   }
+   *   size *= (t->dtype.bits * t->dtype.lanes + 7) / 8;
+   *   return size;
+   * }
+   * \endcode
+   */
+  void* data;
+  /*! \brief The device of the tensor */
+  DLDevice device;
+  /*! \brief Number of dimensions */
+  int32_t ndim;
+  /*! \brief The data type of the pointer*/
+  DLDataType dtype;
+  /*! \brief The shape of the tensor */
+  int64_t* shape;
+  /*!
+   * \brief strides of the tensor (in number of elements, not bytes)
+   *  can be NULL, indicating tensor is compact and row-majored.
+   */
+  int64_t* strides;
+  /*! \brief The offset in bytes to the beginning pointer to data */
+  uint64_t byte_offset;
+} DLTensor;
+
+/*!
+ * \brief C Tensor object, manage memory of DLTensor. This data structure is
+ *  intended to facilitate the borrowing of DLTensor by another framework. It is
+ *  not meant to transfer the tensor. When the borrowing framework doesn't need
+ *  the tensor, it should call the deleter to notify the host that the resource
+ *  is no longer needed.
+ *
+ * \note This data structure is used as Legacy DLManagedTensor
+ *       in DLPack exchange and is deprecated after DLPack v0.8
+ *       Use DLManagedTensorVersioned instead.
+ *       This data structure may get renamed or deleted in future versions.
+ *
+ * \sa DLManagedTensorVersioned
+ */
+typedef struct DLManagedTensor {
+  /*! \brief DLTensor which is being memory managed */
+  DLTensor dl_tensor;
+  /*! \brief the context of the original host framework of DLManagedTensor in
+   *   which DLManagedTensor is used in the framework. It can also be NULL.
+   */
+  void* manager_ctx;
+  /*!
+   * \brief Destructor - this should be called
+   * to destruct the manager_ctx  which backs the DLManagedTensor. It can be
+   * NULL if there is no way for the caller to provide a reasonable destructor.
+   * The destructors deletes the argument self as well.
+   */
+  void (*deleter)(struct DLManagedTensor* self);
+} DLManagedTensor;
+
+// bit masks used in in the DLManagedTensorVersioned
+
+/*! \brief bit mask to indicate that the tensor is read only. */
+#define DLPACK_FLAG_BITMASK_READ_ONLY (1UL << 0UL)
+
+/*!
+ * \brief A versioned and managed C Tensor object, manage memory of DLTensor.
+ *
+ * This data structure is intended to facilitate the borrowing of DLTensor by
+ * another framework. It is not meant to transfer the tensor. When the borrowing
+ * framework doesn't need the tensor, it should call the deleter to notify the
+ * host that the resource is no longer needed.
+ *
+ * \note This is the current standard DLPack exchange data structure.
+ */
+struct DLManagedTensorVersioned {
+  /*!
+   * \brief The API and ABI version of the current managed Tensor
+   */
+  DLPackVersion version;
+  /*!
+   * \brief the context of the original host framework.
+   *
+   * Stores DLManagedTensorVersioned is used in the
+   * framework. It can also be NULL.
+   */
+  void* manager_ctx;
+  /*!
+   * \brief Destructor.
+   *
+   * This should be called to destruct manager_ctx which holds the
+   * DLManagedTensorVersioned. It can be NULL if there is no way for the caller to provide
+   * a reasonable destructor. The destructors deletes the argument self as well.
+   */
+  void (*deleter)(struct DLManagedTensorVersioned* self);
+  /*!
+   * \brief Additional bitmask flags information about the tensor.
+   *
+   * By default the flags should be set to 0.
+   *
+   * \note Future ABI changes should keep everything until this field
+   *       stable, to ensure that deleter can be correctly called.
+   *
+   * \sa DLPACK_FLAG_BITMASK_READ_ONLY
+   */
+  uint64_t flags;
+  /*! \brief DLTensor which is being memory managed */
+  DLTensor dl_tensor;
+};
+
+#ifdef __cplusplus
+}  // DLPACK_EXTERN_C
+#endif
+#endif  // DLPACK_DLPACK_H_

env-llmeval/lib/python3.10/site-packages/pyarrow/include/arrow/compute/api.h

@@ -0,0 +1,53 @@
+// 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.
+
+// NOTE: API is EXPERIMENTAL and will change without going through a
+// deprecation cycle
+
+#pragma once
+
+/// \defgroup compute-functions Abstract compute function API
+/// @{
+/// @}
+
+/// \defgroup compute-concrete-options Concrete option classes for compute functions
+/// @{
+/// @}
+
+#include "arrow/compute/api_aggregate.h"     // IWYU pragma: export
+#include "arrow/compute/api_scalar.h"        // IWYU pragma: export
+#include "arrow/compute/api_vector.h"        // IWYU pragma: export
+#include "arrow/compute/cast.h"              // IWYU pragma: export
+#include "arrow/compute/function.h"          // IWYU pragma: export
+#include "arrow/compute/function_options.h"  // IWYU pragma: export
+#include "arrow/compute/kernel.h"            // IWYU pragma: export
+#include "arrow/compute/registry.h"          // IWYU pragma: export
+#include "arrow/datum.h"                     // IWYU pragma: export
+
+#include "arrow/compute/expression.h"  // IWYU pragma: export
+
+/// \defgroup execnode-row Utilities for working with data in a row-major format
+/// @{
+/// @}
+
+#include "arrow/compute/row/grouper.h"  // IWYU pragma: export
+
+/// \defgroup acero-internals Acero internals, useful for those extending Acero
+/// @{
+/// @}
+
+#include "arrow/compute/exec.h"  // IWYU pragma: export

env-llmeval/lib/python3.10/site-packages/pyarrow/include/arrow/compute/api_aggregate.h

@@ -0,0 +1,466 @@
+// 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.
+
+// Eager evaluation convenience APIs for invoking common functions, including
+// necessary memory allocations
+
+#pragma once
+
+#include <vector>
+
+#include "arrow/compute/function_options.h"
+#include "arrow/datum.h"
+#include "arrow/result.h"
+#include "arrow/util/macros.h"
+#include "arrow/util/visibility.h"
+
+namespace arrow {
+
+class Array;
+
+namespace compute {
+
+class ExecContext;
+
+// ----------------------------------------------------------------------
+// Aggregate functions
+
+/// \addtogroup compute-concrete-options
+/// @{
+
+/// \brief Control general scalar aggregate kernel behavior
+///
+/// By default, null values are ignored (skip_nulls = true).
+class ARROW_EXPORT ScalarAggregateOptions : public FunctionOptions {
+ public:
+  explicit ScalarAggregateOptions(bool skip_nulls = true, uint32_t min_count = 1);
+  static constexpr char const kTypeName[] = "ScalarAggregateOptions";
+  static ScalarAggregateOptions Defaults() { return ScalarAggregateOptions{}; }
+
+  /// If true (the default), null values are ignored. Otherwise, if any value is null,
+  /// emit null.
+  bool skip_nulls;
+  /// If less than this many non-null values are observed, emit null.
+  uint32_t min_count;
+};
+
+/// \brief Control count aggregate kernel behavior.
+///
+/// By default, only non-null values are counted.
+class ARROW_EXPORT CountOptions : public FunctionOptions {
+ public:
+  enum CountMode {
+    /// Count only non-null values.
+    ONLY_VALID = 0,
+    /// Count only null values.
+    ONLY_NULL,
+    /// Count both non-null and null values.
+    ALL,
+  };
+  explicit CountOptions(CountMode mode = CountMode::ONLY_VALID);
+  static constexpr char const kTypeName[] = "CountOptions";
+  static CountOptions Defaults() { return CountOptions{}; }
+
+  CountMode mode;
+};
+
+/// \brief Control Mode kernel behavior
+///
+/// Returns top-n common values and counts.
+/// By default, returns the most common value and count.
+class ARROW_EXPORT ModeOptions : public FunctionOptions {
+ public:
+  explicit ModeOptions(int64_t n = 1, bool skip_nulls = true, uint32_t min_count = 0);
+  static constexpr char const kTypeName[] = "ModeOptions";
+  static ModeOptions Defaults() { return ModeOptions{}; }
+
+  int64_t n = 1;
+  /// If true (the default), null values are ignored. Otherwise, if any value is null,
+  /// emit null.
+  bool skip_nulls;
+  /// If less than this many non-null values are observed, emit null.
+  uint32_t min_count;
+};
+
+/// \brief Control Delta Degrees of Freedom (ddof) of Variance and Stddev kernel
+///
+/// The divisor used in calculations is N - ddof, where N is the number of elements.
+/// By default, ddof is zero, and population variance or stddev is returned.
+class ARROW_EXPORT VarianceOptions : public FunctionOptions {
+ public:
+  explicit VarianceOptions(int ddof = 0, bool skip_nulls = true, uint32_t min_count = 0);
+  static constexpr char const kTypeName[] = "VarianceOptions";
+  static VarianceOptions Defaults() { return VarianceOptions{}; }
+
+  int ddof = 0;
+  /// If true (the default), null values are ignored. Otherwise, if any value is null,
+  /// emit null.
+  bool skip_nulls;
+  /// If less than this many non-null values are observed, emit null.
+  uint32_t min_count;
+};
+
+/// \brief Control Quantile kernel behavior
+///
+/// By default, returns the median value.
+class ARROW_EXPORT QuantileOptions : public FunctionOptions {
+ public:
+  /// Interpolation method to use when quantile lies between two data points
+  enum Interpolation {
+    LINEAR = 0,
+    LOWER,
+    HIGHER,
+    NEAREST,
+    MIDPOINT,
+  };
+
+  explicit QuantileOptions(double q = 0.5, enum Interpolation interpolation = LINEAR,
+                           bool skip_nulls = true, uint32_t min_count = 0);
+
+  explicit QuantileOptions(std::vector<double> q,
+                           enum Interpolation interpolation = LINEAR,
+                           bool skip_nulls = true, uint32_t min_count = 0);
+
+  static constexpr char const kTypeName[] = "QuantileOptions";
+  static QuantileOptions Defaults() { return QuantileOptions{}; }
+
+  /// probability level of quantile must be between 0 and 1 inclusive
+  std::vector<double> q;
+  enum Interpolation interpolation;
+  /// If true (the default), null values are ignored. Otherwise, if any value is null,
+  /// emit null.
+  bool skip_nulls;
+  /// If less than this many non-null values are observed, emit null.
+  uint32_t min_count;
+};
+
+/// \brief Control TDigest approximate quantile kernel behavior
+///
+/// By default, returns the median value.
+class ARROW_EXPORT TDigestOptions : public FunctionOptions {
+ public:
+  explicit TDigestOptions(double q = 0.5, uint32_t delta = 100,
+                          uint32_t buffer_size = 500, bool skip_nulls = true,
+                          uint32_t min_count = 0);
+  explicit TDigestOptions(std::vector<double> q, uint32_t delta = 100,
+                          uint32_t buffer_size = 500, bool skip_nulls = true,
+                          uint32_t min_count = 0);
+  static constexpr char const kTypeName[] = "TDigestOptions";
+  static TDigestOptions Defaults() { return TDigestOptions{}; }
+
+  /// probability level of quantile must be between 0 and 1 inclusive
+  std::vector<double> q;
+  /// compression parameter, default 100
+  uint32_t delta;
+  /// input buffer size, default 500
+  uint32_t buffer_size;
+  /// If true (the default), null values are ignored. Otherwise, if any value is null,
+  /// emit null.
+  bool skip_nulls;
+  /// If less than this many non-null values are observed, emit null.
+  uint32_t min_count;
+};
+
+/// \brief Control Index kernel behavior
+class ARROW_EXPORT IndexOptions : public FunctionOptions {
+ public:
+  explicit IndexOptions(std::shared_ptr<Scalar> value);
+  // Default constructor for serialization
+  IndexOptions();
+  static constexpr char const kTypeName[] = "IndexOptions";
+
+  std::shared_ptr<Scalar> value;
+};
+
+/// \brief Configure a grouped aggregation
+struct ARROW_EXPORT Aggregate {
+  Aggregate() = default;
+
+  Aggregate(std::string function, std::shared_ptr<FunctionOptions> options,
+            std::vector<FieldRef> target, std::string name = "")
+      : function(std::move(function)),
+        options(std::move(options)),
+        target(std::move(target)),
+        name(std::move(name)) {}
+
+  Aggregate(std::string function, std::shared_ptr<FunctionOptions> options,
+            FieldRef target, std::string name = "")
+      : Aggregate(std::move(function), std::move(options),
+                  std::vector<FieldRef>{std::move(target)}, std::move(name)) {}
+
+  Aggregate(std::string function, FieldRef target, std::string name)
+      : Aggregate(std::move(function), /*options=*/NULLPTR,
+                  std::vector<FieldRef>{std::move(target)}, std::move(name)) {}
+
+  Aggregate(std::string function, std::string name)
+      : Aggregate(std::move(function), /*options=*/NULLPTR,
+                  /*target=*/std::vector<FieldRef>{}, std::move(name)) {}
+
+  /// the name of the aggregation function
+  std::string function;
+
+  /// options for the aggregation function
+  std::shared_ptr<FunctionOptions> options;
+
+  /// zero or more fields to which aggregations will be applied
+  std::vector<FieldRef> target;
+
+  /// optional output field name for aggregations
+  std::string name;
+};
+
+/// @}
+
+/// \brief Count values in an array.
+///
+/// \param[in] options counting options, see CountOptions for more information
+/// \param[in] datum to count
+/// \param[in] ctx the function execution context, optional
+/// \return out resulting datum
+///
+/// \since 1.0.0
+/// \note API not yet finalized
+ARROW_EXPORT
+Result<Datum> Count(const Datum& datum,
+                    const CountOptions& options = CountOptions::Defaults(),
+                    ExecContext* ctx = NULLPTR);
+
+/// \brief Compute the mean of a numeric array.
+///
+/// \param[in] value datum to compute the mean, expecting Array
+/// \param[in] options see ScalarAggregateOptions for more information
+/// \param[in] ctx the function execution context, optional
+/// \return datum of the computed mean as a DoubleScalar
+///
+/// \since 1.0.0
+/// \note API not yet finalized
+ARROW_EXPORT
+Result<Datum> Mean(
+    const Datum& value,
+    const ScalarAggregateOptions& options = ScalarAggregateOptions::Defaults(),
+    ExecContext* ctx = NULLPTR);
+
+/// \brief Compute the product of values of a numeric array.
+///
+/// \param[in] value datum to compute product of, expecting Array or ChunkedArray
+/// \param[in] options see ScalarAggregateOptions for more information
+/// \param[in] ctx the function execution context, optional
+/// \return datum of the computed sum as a Scalar
+///
+/// \since 6.0.0
+/// \note API not yet finalized
+ARROW_EXPORT
+Result<Datum> Product(
+    const Datum& value,
+    const ScalarAggregateOptions& options = ScalarAggregateOptions::Defaults(),
+    ExecContext* ctx = NULLPTR);
+
+/// \brief Sum values of a numeric array.
+///
+/// \param[in] value datum to sum, expecting Array or ChunkedArray
+/// \param[in] options see ScalarAggregateOptions for more information
+/// \param[in] ctx the function execution context, optional
+/// \return datum of the computed sum as a Scalar
+///
+/// \since 1.0.0
+/// \note API not yet finalized
+ARROW_EXPORT
+Result<Datum> Sum(
+    const Datum& value,
+    const ScalarAggregateOptions& options = ScalarAggregateOptions::Defaults(),
+    ExecContext* ctx = NULLPTR);
+
+/// \brief Calculate the first value of an array
+///
+/// \param[in] value input datum, expecting Array or ChunkedArray
+/// \param[in] options see ScalarAggregateOptions for more information
+/// \param[in] ctx the function execution context, optional
+/// \return datum of the computed first as Scalar
+///
+/// \since 13.0.0
+/// \note API not yet finalized
+ARROW_EXPORT
+Result<Datum> First(
+    const Datum& value,
+    const ScalarAggregateOptions& options = ScalarAggregateOptions::Defaults(),
+    ExecContext* ctx = NULLPTR);
+
+/// \brief Calculate the last value of an array
+///
+/// \param[in] value input datum, expecting Array or ChunkedArray
+/// \param[in] options see ScalarAggregateOptions for more information
+/// \param[in] ctx the function execution context, optional
+/// \return datum of the computed last as a Scalar
+///
+/// \since 13.0.0
+/// \note API not yet finalized
+ARROW_EXPORT
+Result<Datum> Last(
+    const Datum& value,
+    const ScalarAggregateOptions& options = ScalarAggregateOptions::Defaults(),
+    ExecContext* ctx = NULLPTR);
+
+/// \brief Calculate the min / max of a numeric array
+///
+/// This function returns both the min and max as a struct scalar, with type
+/// struct<min: T, max: T>, where T is the input type
+///
+/// \param[in] value input datum, expecting Array or ChunkedArray
+/// \param[in] options see ScalarAggregateOptions for more information
+/// \param[in] ctx the function execution context, optional
+/// \return resulting datum as a struct<min: T, max: T> scalar
+///
+/// \since 1.0.0
+/// \note API not yet finalized
+ARROW_EXPORT
+Result<Datum> MinMax(
+    const Datum& value,
+    const ScalarAggregateOptions& options = ScalarAggregateOptions::Defaults(),
+    ExecContext* ctx = NULLPTR);
+
+/// \brief Test whether any element in a boolean array evaluates to true.
+///
+/// This function returns true if any of the elements in the array evaluates
+/// to true and false otherwise. Null values are ignored by default.
+/// If null values are taken into account by setting ScalarAggregateOptions
+/// parameter skip_nulls = false then Kleene logic is used.
+/// See KleeneOr for more details on Kleene logic.
+///
+/// \param[in] value input datum, expecting a boolean array
+/// \param[in] options see ScalarAggregateOptions for more information
+/// \param[in] ctx the function execution context, optional
+/// \return resulting datum as a BooleanScalar
+///
+/// \since 3.0.0
+/// \note API not yet finalized
+ARROW_EXPORT
+Result<Datum> Any(
+    const Datum& value,
+    const ScalarAggregateOptions& options = ScalarAggregateOptions::Defaults(),
+    ExecContext* ctx = NULLPTR);
+
+/// \brief Test whether all elements in a boolean array evaluate to true.
+///
+/// This function returns true if all of the elements in the array evaluate
+/// to true and false otherwise. Null values are ignored by default.
+/// If null values are taken into account by setting ScalarAggregateOptions
+/// parameter skip_nulls = false then Kleene logic is used.
+/// See KleeneAnd for more details on Kleene logic.
+///
+/// \param[in] value input datum, expecting a boolean array
+/// \param[in] options see ScalarAggregateOptions for more information
+/// \param[in] ctx the function execution context, optional
+/// \return resulting datum as a BooleanScalar
+
+/// \since 3.0.0
+/// \note API not yet finalized
+ARROW_EXPORT
+Result<Datum> All(
+    const Datum& value,
+    const ScalarAggregateOptions& options = ScalarAggregateOptions::Defaults(),
+    ExecContext* ctx = NULLPTR);
+
+/// \brief Calculate the modal (most common) value of a numeric array
+///
+/// This function returns top-n most common values and number of times they occur as
+/// an array of `struct<mode: T, count: int64>`, where T is the input type.
+/// Values with larger counts are returned before smaller ones.
+/// If there are more than one values with same count, smaller value is returned first.
+///
+/// \param[in] value input datum, expecting Array or ChunkedArray
+/// \param[in] options see ModeOptions for more information
+/// \param[in] ctx the function execution context, optional
+/// \return resulting datum as an array of struct<mode: T, count: int64>
+///
+/// \since 2.0.0
+/// \note API not yet finalized
+ARROW_EXPORT
+Result<Datum> Mode(const Datum& value,
+                   const ModeOptions& options = ModeOptions::Defaults(),
+                   ExecContext* ctx = NULLPTR);
+
+/// \brief Calculate the standard deviation of a numeric array
+///
+/// \param[in] value input datum, expecting Array or ChunkedArray
+/// \param[in] options see VarianceOptions for more information
+/// \param[in] ctx the function execution context, optional
+/// \return datum of the computed standard deviation as a DoubleScalar
+///
+/// \since 2.0.0
+/// \note API not yet finalized
+ARROW_EXPORT
+Result<Datum> Stddev(const Datum& value,
+                     const VarianceOptions& options = VarianceOptions::Defaults(),
+                     ExecContext* ctx = NULLPTR);
+
+/// \brief Calculate the variance of a numeric array
+///
+/// \param[in] value input datum, expecting Array or ChunkedArray
+/// \param[in] options see VarianceOptions for more information
+/// \param[in] ctx the function execution context, optional
+/// \return datum of the computed variance as a DoubleScalar
+///
+/// \since 2.0.0
+/// \note API not yet finalized
+ARROW_EXPORT
+Result<Datum> Variance(const Datum& value,
+                       const VarianceOptions& options = VarianceOptions::Defaults(),
+                       ExecContext* ctx = NULLPTR);
+
+/// \brief Calculate the quantiles of a numeric array
+///
+/// \param[in] value input datum, expecting Array or ChunkedArray
+/// \param[in] options see QuantileOptions for more information
+/// \param[in] ctx the function execution context, optional
+/// \return resulting datum as an array
+///
+/// \since 4.0.0
+/// \note API not yet finalized
+ARROW_EXPORT
+Result<Datum> Quantile(const Datum& value,
+                       const QuantileOptions& options = QuantileOptions::Defaults(),
+                       ExecContext* ctx = NULLPTR);
+
+/// \brief Calculate the approximate quantiles of a numeric array with T-Digest algorithm
+///
+/// \param[in] value input datum, expecting Array or ChunkedArray
+/// \param[in] options see TDigestOptions for more information
+/// \param[in] ctx the function execution context, optional
+/// \return resulting datum as an array
+///
+/// \since 4.0.0
+/// \note API not yet finalized
+ARROW_EXPORT
+Result<Datum> TDigest(const Datum& value,
+                      const TDigestOptions& options = TDigestOptions::Defaults(),
+                      ExecContext* ctx = NULLPTR);
+
+/// \brief Find the first index of a value in an array.
+///
+/// \param[in] value The array to search.
+/// \param[in] options The array to search for. See IndexOptions.
+/// \param[in] ctx the function execution context, optional
+/// \return out a Scalar containing the index (or -1 if not found).
+///
+/// \since 5.0.0
+/// \note API not yet finalized
+ARROW_EXPORT
+Result<Datum> Index(const Datum& value, const IndexOptions& options,
+                    ExecContext* ctx = NULLPTR);
+
+}  // namespace compute
+}  // namespace arrow

env-llmeval/lib/python3.10/site-packages/pyarrow/include/arrow/compute/api_scalar.h

@@ -0,0 +1,1717 @@
+// 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.
+
+// Eager evaluation convenience APIs for invoking common functions, including
+// necessary memory allocations
+
+#pragma once
+
+#include <optional>
+#include <string>
+#include <utility>
+
+#include "arrow/compute/function_options.h"
+#include "arrow/compute/type_fwd.h"
+#include "arrow/datum.h"
+#include "arrow/result.h"
+#include "arrow/util/macros.h"
+#include "arrow/util/visibility.h"
+
+namespace arrow {
+namespace compute {
+
+/// \addtogroup compute-concrete-options
+///
+/// @{
+
+class ARROW_EXPORT ArithmeticOptions : public FunctionOptions {
+ public:
+  explicit ArithmeticOptions(bool check_overflow = false);
+  static constexpr char const kTypeName[] = "ArithmeticOptions";
+  bool check_overflow;
+};
+
+class ARROW_EXPORT ElementWiseAggregateOptions : public FunctionOptions {
+ public:
+  explicit ElementWiseAggregateOptions(bool skip_nulls = true);
+  static constexpr char const kTypeName[] = "ElementWiseAggregateOptions";
+  static ElementWiseAggregateOptions Defaults() { return ElementWiseAggregateOptions{}; }
+  bool skip_nulls;
+};
+
+/// Rounding and tie-breaking modes for round compute functions.
+/// Additional details and examples are provided in compute.rst.
+enum class RoundMode : int8_t {
+  /// Round to nearest integer less than or equal in magnitude (aka "floor")
+  DOWN,
+  /// Round to nearest integer greater than or equal in magnitude (aka "ceil")
+  UP,
+  /// Get the integral part without fractional digits (aka "trunc")
+  TOWARDS_ZERO,
+  /// Round negative values with DOWN rule
+  /// and positive values with UP rule (aka "away from zero")
+  TOWARDS_INFINITY,
+  /// Round ties with DOWN rule (also called "round half towards negative infinity")
+  HALF_DOWN,
+  /// Round ties with UP rule (also called "round half towards positive infinity")
+  HALF_UP,
+  /// Round ties with TOWARDS_ZERO rule (also called "round half away from infinity")
+  HALF_TOWARDS_ZERO,
+  /// Round ties with TOWARDS_INFINITY rule (also called "round half away from zero")
+  HALF_TOWARDS_INFINITY,
+  /// Round ties to nearest even integer
+  HALF_TO_EVEN,
+  /// Round ties to nearest odd integer
+  HALF_TO_ODD,
+};
+
+class ARROW_EXPORT RoundOptions : public FunctionOptions {
+ public:
+  explicit RoundOptions(int64_t ndigits = 0,
+                        RoundMode round_mode = RoundMode::HALF_TO_EVEN);
+  static constexpr char const kTypeName[] = "RoundOptions";
+  static RoundOptions Defaults() { return RoundOptions(); }
+  /// Rounding precision (number of digits to round to)
+  int64_t ndigits;
+  /// Rounding and tie-breaking mode
+  RoundMode round_mode;
+};
+
+class ARROW_EXPORT RoundBinaryOptions : public FunctionOptions {
+ public:
+  explicit RoundBinaryOptions(RoundMode round_mode = RoundMode::HALF_TO_EVEN);
+  static constexpr char const kTypeName[] = "RoundBinaryOptions";
+  static RoundBinaryOptions Defaults() { return RoundBinaryOptions(); }
+  /// Rounding and tie-breaking mode
+  RoundMode round_mode;
+};
+
+enum class CalendarUnit : int8_t {
+  NANOSECOND,
+  MICROSECOND,
+  MILLISECOND,
+  SECOND,
+  MINUTE,
+  HOUR,
+  DAY,
+  WEEK,
+  MONTH,
+  QUARTER,
+  YEAR
+};
+
+class ARROW_EXPORT RoundTemporalOptions : public FunctionOptions {
+ public:
+  explicit RoundTemporalOptions(int multiple = 1, CalendarUnit unit = CalendarUnit::DAY,
+                                bool week_starts_monday = true,
+                                bool ceil_is_strictly_greater = false,
+                                bool calendar_based_origin = false);
+  static constexpr char const kTypeName[] = "RoundTemporalOptions";
+  static RoundTemporalOptions Defaults() { return RoundTemporalOptions(); }
+
+  /// Number of units to round to
+  int multiple;
+  /// The unit used for rounding of time
+  CalendarUnit unit;
+  /// What day does the week start with (Monday=true, Sunday=false)
+  bool week_starts_monday;
+  /// Enable this flag to return a rounded value that is strictly greater than the input.
+  /// For example: ceiling 1970-01-01T00:00:00 to 3 hours would yield 1970-01-01T03:00:00
+  /// if set to true and 1970-01-01T00:00:00 if set to false.
+  /// This applies for ceiling only.
+  bool ceil_is_strictly_greater;
+  /// By default time is rounded to a multiple of units since 1970-01-01T00:00:00.
+  /// By setting calendar_based_origin to true, time will be rounded to a number
+  /// of units since the last greater calendar unit.
+  /// For example: rounding to a multiple of days since the beginning of the month or
+  /// to hours since the beginning of the day.
+  /// Exceptions: week and quarter are not used as greater units, therefore days will
+  /// will be rounded to the beginning of the month not week. Greater unit of week
+  /// is year.
+  /// Note that ceiling and rounding might change sorting order of an array near greater
+  /// unit change. For example rounding YYYY-mm-dd 23:00:00 to 5 hours will ceil and
+  /// round to YYYY-mm-dd+1 01:00:00 and floor to YYYY-mm-dd 20:00:00. On the other hand
+  /// YYYY-mm-dd+1 00:00:00 will ceil, round and floor to YYYY-mm-dd+1 00:00:00. This
+  /// can break the order of an already ordered array.
+  bool calendar_based_origin;
+};
+
+class ARROW_EXPORT RoundToMultipleOptions : public FunctionOptions {
+ public:
+  explicit RoundToMultipleOptions(double multiple = 1.0,
+                                  RoundMode round_mode = RoundMode::HALF_TO_EVEN);
+  explicit RoundToMultipleOptions(std::shared_ptr<Scalar> multiple,
+                                  RoundMode round_mode = RoundMode::HALF_TO_EVEN);
+  static constexpr char const kTypeName[] = "RoundToMultipleOptions";
+  static RoundToMultipleOptions Defaults() { return RoundToMultipleOptions(); }
+  /// Rounding scale (multiple to round to).
+  ///
+  /// Should be a positive numeric scalar of a type compatible with the
+  /// argument to be rounded. The cast kernel is used to convert the rounding
+  /// multiple to match the result type.
+  std::shared_ptr<Scalar> multiple;
+  /// Rounding and tie-breaking mode
+  RoundMode round_mode;
+};
+
+/// Options for var_args_join.
+class ARROW_EXPORT JoinOptions : public FunctionOptions {
+ public:
+  /// How to handle null values. (A null separator always results in a null output.)
+  enum NullHandlingBehavior {
+    /// A null in any input results in a null in the output.
+    EMIT_NULL,
+    /// Nulls in inputs are skipped.
+    SKIP,
+    /// Nulls in inputs are replaced with the replacement string.
+    REPLACE,
+  };
+  explicit JoinOptions(NullHandlingBehavior null_handling = EMIT_NULL,
+                       std::string null_replacement = "");
+  static constexpr char const kTypeName[] = "JoinOptions";
+  static JoinOptions Defaults() { return JoinOptions(); }
+  NullHandlingBehavior null_handling;
+  std::string null_replacement;
+};
+
+class ARROW_EXPORT MatchSubstringOptions : public FunctionOptions {
+ public:
+  explicit MatchSubstringOptions(std::string pattern, bool ignore_case = false);
+  MatchSubstringOptions();
+  static constexpr char const kTypeName[] = "MatchSubstringOptions";
+
+  /// The exact substring (or regex, depending on kernel) to look for inside input values.
+  std::string pattern;
+  /// Whether to perform a case-insensitive match.
+  bool ignore_case;
+};
+
+class ARROW_EXPORT SplitOptions : public FunctionOptions {
+ public:
+  explicit SplitOptions(int64_t max_splits = -1, bool reverse = false);
+  static constexpr char const kTypeName[] = "SplitOptions";
+
+  /// Maximum number of splits allowed, or unlimited when -1
+  int64_t max_splits;
+  /// Start splitting from the end of the string (only relevant when max_splits != -1)
+  bool reverse;
+};
+
+class ARROW_EXPORT SplitPatternOptions : public FunctionOptions {
+ public:
+  explicit SplitPatternOptions(std::string pattern, int64_t max_splits = -1,
+                               bool reverse = false);
+  SplitPatternOptions();
+  static constexpr char const kTypeName[] = "SplitPatternOptions";
+
+  /// The exact substring to split on.
+  std::string pattern;
+  /// Maximum number of splits allowed, or unlimited when -1
+  int64_t max_splits;
+  /// Start splitting from the end of the string (only relevant when max_splits != -1)
+  bool reverse;
+};
+
+class ARROW_EXPORT ReplaceSliceOptions : public FunctionOptions {
+ public:
+  explicit ReplaceSliceOptions(int64_t start, int64_t stop, std::string replacement);
+  ReplaceSliceOptions();
+  static constexpr char const kTypeName[] = "ReplaceSliceOptions";
+
+  /// Index to start slicing at
+  int64_t start;
+  /// Index to stop slicing at
+  int64_t stop;
+  /// String to replace the slice with
+  std::string replacement;
+};
+
+class ARROW_EXPORT ReplaceSubstringOptions : public FunctionOptions {
+ public:
+  explicit ReplaceSubstringOptions(std::string pattern, std::string replacement,
+                                   int64_t max_replacements = -1);
+  ReplaceSubstringOptions();
+  static constexpr char const kTypeName[] = "ReplaceSubstringOptions";
+
+  /// Pattern to match, literal, or regular expression depending on which kernel is used
+  std::string pattern;
+  /// String to replace the pattern with
+  std::string replacement;
+  /// Max number of substrings to replace (-1 means unbounded)
+  int64_t max_replacements;
+};
+
+class ARROW_EXPORT ExtractRegexOptions : public FunctionOptions {
+ public:
+  explicit ExtractRegexOptions(std::string pattern);
+  ExtractRegexOptions();
+  static constexpr char const kTypeName[] = "ExtractRegexOptions";
+
+  /// Regular expression with named capture fields
+  std::string pattern;
+};
+
+/// Options for IsIn and IndexIn functions
+class ARROW_EXPORT SetLookupOptions : public FunctionOptions {
+ public:
+  /// How to handle null values.
+  enum NullMatchingBehavior {
+    /// MATCH, any null in `value_set` is successfully matched in
+    /// the input.
+    MATCH,
+    /// SKIP, any null in `value_set` is ignored and nulls in the input
+    /// produce null (IndexIn) or false (IsIn) values in the output.
+    SKIP,
+    /// EMIT_NULL, any null in `value_set` is ignored and nulls in the
+    /// input produce null (IndexIn and IsIn) values in the output.
+    EMIT_NULL,
+    /// INCONCLUSIVE, null values are regarded as unknown values, which is
+    /// sql-compatible. nulls in the input produce null (IndexIn and IsIn)
+    /// values in the output. Besides, if `value_set` contains a null,
+    /// non-null unmatched values in the input also produce null values
+    /// (IndexIn and IsIn) in the output.
+    INCONCLUSIVE
+  };
+
+  explicit SetLookupOptions(Datum value_set, NullMatchingBehavior = MATCH);
+  SetLookupOptions();
+
+  // DEPRECATED(will be removed after removing of skip_nulls)
+  explicit SetLookupOptions(Datum value_set, bool skip_nulls);
+
+  static constexpr char const kTypeName[] = "SetLookupOptions";
+
+  /// The set of values to look up input values into.
+  Datum value_set;
+
+  NullMatchingBehavior null_matching_behavior;
+
+  // DEPRECATED(will be removed after removing of skip_nulls)
+  NullMatchingBehavior GetNullMatchingBehavior() const;
+
+  // DEPRECATED(use null_matching_behavior instead)
+  /// Whether nulls in `value_set` count for lookup.
+  ///
+  /// If true, any null in `value_set` is ignored and nulls in the input
+  /// produce null (IndexIn) or false (IsIn) values in the output.
+  /// If false, any null in `value_set` is successfully matched in
+  /// the input.
+  std::optional<bool> skip_nulls;
+};
+
+/// Options for struct_field function
+class ARROW_EXPORT StructFieldOptions : public FunctionOptions {
+ public:
+  explicit StructFieldOptions(std::vector<int> indices);
+  explicit StructFieldOptions(std::initializer_list<int>);
+  explicit StructFieldOptions(FieldRef field_ref);
+  StructFieldOptions();
+  static constexpr char const kTypeName[] = "StructFieldOptions";
+
+  /// The FieldRef specifying what to extract from struct or union.
+  FieldRef field_ref;
+};
+
+class ARROW_EXPORT StrptimeOptions : public FunctionOptions {
+ public:
+  explicit StrptimeOptions(std::string format, TimeUnit::type unit,
+                           bool error_is_null = false);
+  StrptimeOptions();
+  static constexpr char const kTypeName[] = "StrptimeOptions";
+
+  /// The desired format string.
+  std::string format;
+  /// The desired time resolution
+  TimeUnit::type unit;
+  /// Return null on parsing errors if true or raise if false
+  bool error_is_null;
+};
+
+class ARROW_EXPORT StrftimeOptions : public FunctionOptions {
+ public:
+  explicit StrftimeOptions(std::string format, std::string locale = "C");
+  StrftimeOptions();
+
+  static constexpr char const kTypeName[] = "StrftimeOptions";
+
+  static constexpr const char* kDefaultFormat = "%Y-%m-%dT%H:%M:%S";
+
+  /// The desired format string.
+  std::string format;
+  /// The desired output locale string.
+  std::string locale;
+};
+
+class ARROW_EXPORT PadOptions : public FunctionOptions {
+ public:
+  explicit PadOptions(int64_t width, std::string padding = " ");
+  PadOptions();
+  static constexpr char const kTypeName[] = "PadOptions";
+
+  /// The desired string length.
+  int64_t width;
+  /// What to pad the string with. Should be one codepoint (Unicode)/byte (ASCII).
+  std::string padding;
+};
+
+class ARROW_EXPORT TrimOptions : public FunctionOptions {
+ public:
+  explicit TrimOptions(std::string characters);
+  TrimOptions();
+  static constexpr char const kTypeName[] = "TrimOptions";
+
+  /// The individual characters to be trimmed from the string.
+  std::string characters;
+};
+
+class ARROW_EXPORT SliceOptions : public FunctionOptions {
+ public:
+  explicit SliceOptions(int64_t start, int64_t stop = std::numeric_limits<int64_t>::max(),
+                        int64_t step = 1);
+  SliceOptions();
+  static constexpr char const kTypeName[] = "SliceOptions";
+  int64_t start, stop, step;
+};
+
+class ARROW_EXPORT ListSliceOptions : public FunctionOptions {
+ public:
+  explicit ListSliceOptions(int64_t start, std::optional<int64_t> stop = std::nullopt,
+                            int64_t step = 1,
+                            std::optional<bool> return_fixed_size_list = std::nullopt);
+  ListSliceOptions();
+  static constexpr char const kTypeName[] = "ListSliceOptions";
+  /// The start of list slicing.
+  int64_t start;
+  /// Optional stop of list slicing. If not set, then slice to end. (NotImplemented)
+  std::optional<int64_t> stop;
+  /// Slicing step
+  int64_t step;
+  // Whether to return a FixedSizeListArray. If true _and_ stop is after
+  // a list element's length, nulls will be appended to create the requested slice size.
+  // Default of `nullopt` will return whatever type it got in.
+  std::optional<bool> return_fixed_size_list;
+};
+
+class ARROW_EXPORT NullOptions : public FunctionOptions {
+ public:
+  explicit NullOptions(bool nan_is_null = false);
+  static constexpr char const kTypeName[] = "NullOptions";
+  static NullOptions Defaults() { return NullOptions{}; }
+
+  bool nan_is_null;
+};
+
+enum CompareOperator : int8_t {
+  EQUAL,
+  NOT_EQUAL,
+  GREATER,
+  GREATER_EQUAL,
+  LESS,
+  LESS_EQUAL,
+};
+
+struct ARROW_EXPORT CompareOptions {
+  explicit CompareOptions(CompareOperator op) : op(op) {}
+  CompareOptions() : CompareOptions(CompareOperator::EQUAL) {}
+  enum CompareOperator op;
+};
+
+class ARROW_EXPORT MakeStructOptions : public FunctionOptions {
+ public:
+  MakeStructOptions(std::vector<std::string> n, std::vector<bool> r,
+                    std::vector<std::shared_ptr<const KeyValueMetadata>> m);
+  explicit MakeStructOptions(std::vector<std::string> n);
+  MakeStructOptions();
+  static constexpr char const kTypeName[] = "MakeStructOptions";
+
+  /// Names for wrapped columns
+  std::vector<std::string> field_names;
+
+  /// Nullability bits for wrapped columns
+  std::vector<bool> field_nullability;
+
+  /// Metadata attached to wrapped columns
+  std::vector<std::shared_ptr<const KeyValueMetadata>> field_metadata;
+};
+
+struct ARROW_EXPORT DayOfWeekOptions : public FunctionOptions {
+ public:
+  explicit DayOfWeekOptions(bool count_from_zero = true, uint32_t week_start = 1);
+  static constexpr char const kTypeName[] = "DayOfWeekOptions";
+  static DayOfWeekOptions Defaults() { return DayOfWeekOptions(); }
+
+  /// Number days from 0 if true and from 1 if false
+  bool count_from_zero;
+  /// What day does the week start with (Monday=1, Sunday=7).
+  /// The numbering is unaffected by the count_from_zero parameter.
+  uint32_t week_start;
+};
+
+/// Used to control timestamp timezone conversion and handling ambiguous/nonexistent
+/// times.
+struct ARROW_EXPORT AssumeTimezoneOptions : public FunctionOptions {
+ public:
+  /// \brief How to interpret ambiguous local times that can be interpreted as
+  /// multiple instants (normally two) due to DST shifts.
+  ///
+  /// AMBIGUOUS_EARLIEST emits the earliest instant amongst possible interpretations.
+  /// AMBIGUOUS_LATEST emits the latest instant amongst possible interpretations.
+  enum Ambiguous { AMBIGUOUS_RAISE, AMBIGUOUS_EARLIEST, AMBIGUOUS_LATEST };
+
+  /// \brief How to handle local times that do not exist due to DST shifts.
+  ///
+  /// NONEXISTENT_EARLIEST emits the instant "just before" the DST shift instant
+  /// in the given timestamp precision (for example, for a nanoseconds precision
+  /// timestamp, this is one nanosecond before the DST shift instant).
+  /// NONEXISTENT_LATEST emits the DST shift instant.
+  enum Nonexistent { NONEXISTENT_RAISE, NONEXISTENT_EARLIEST, NONEXISTENT_LATEST };
+
+  explicit AssumeTimezoneOptions(std::string timezone,
+                                 Ambiguous ambiguous = AMBIGUOUS_RAISE,
+                                 Nonexistent nonexistent = NONEXISTENT_RAISE);
+  AssumeTimezoneOptions();
+  static constexpr char const kTypeName[] = "AssumeTimezoneOptions";
+
+  /// Timezone to convert timestamps from
+  std::string timezone;
+
+  /// How to interpret ambiguous local times (due to DST shifts)
+  Ambiguous ambiguous;
+  /// How to interpret nonexistent local times (due to DST shifts)
+  Nonexistent nonexistent;
+};
+
+struct ARROW_EXPORT WeekOptions : public FunctionOptions {
+ public:
+  explicit WeekOptions(bool week_starts_monday = true, bool count_from_zero = false,
+                       bool first_week_is_fully_in_year = false);
+  static constexpr char const kTypeName[] = "WeekOptions";
+  static WeekOptions Defaults() { return WeekOptions{}; }
+  static WeekOptions ISODefaults() {
+    return WeekOptions{/*week_starts_monday*/ true,
+                       /*count_from_zero=*/false,
+                       /*first_week_is_fully_in_year=*/false};
+  }
+  static WeekOptions USDefaults() {
+    return WeekOptions{/*week_starts_monday*/ false,
+                       /*count_from_zero=*/false,
+                       /*first_week_is_fully_in_year=*/false};
+  }
+
+  /// What day does the week start with (Monday=true, Sunday=false)
+  bool week_starts_monday;
+  /// Dates from current year that fall into last ISO week of the previous year return
+  /// 0 if true and 52 or 53 if false.
+  bool count_from_zero;
+  /// Must the first week be fully in January (true), or is a week that begins on
+  /// December 29, 30, or 31 considered to be the first week of the new year (false)?
+  bool first_week_is_fully_in_year;
+};
+
+struct ARROW_EXPORT Utf8NormalizeOptions : public FunctionOptions {
+ public:
+  enum Form { NFC, NFKC, NFD, NFKD };
+
+  explicit Utf8NormalizeOptions(Form form = NFC);
+  static Utf8NormalizeOptions Defaults() { return Utf8NormalizeOptions(); }
+  static constexpr char const kTypeName[] = "Utf8NormalizeOptions";
+
+  /// The Unicode normalization form to apply
+  Form form;
+};
+
+class ARROW_EXPORT RandomOptions : public FunctionOptions {
+ public:
+  enum Initializer { SystemRandom, Seed };
+
+  static RandomOptions FromSystemRandom() { return RandomOptions{SystemRandom, 0}; }
+  static RandomOptions FromSeed(uint64_t seed) { return RandomOptions{Seed, seed}; }
+
+  RandomOptions(Initializer initializer, uint64_t seed);
+  RandomOptions();
+  static constexpr char const kTypeName[] = "RandomOptions";
+  static RandomOptions Defaults() { return RandomOptions(); }
+
+  /// The type of initialization for random number generation - system or provided seed.
+  Initializer initializer;
+  /// The seed value used to initialize the random number generation.
+  uint64_t seed;
+};
+
+/// Options for map_lookup function
+class ARROW_EXPORT MapLookupOptions : public FunctionOptions {
+ public:
+  enum Occurrence {
+    /// Return the first matching value
+    FIRST,
+    /// Return the last matching value
+    LAST,
+    /// Return all matching values
+    ALL
+  };
+
+  explicit MapLookupOptions(std::shared_ptr<Scalar> query_key, Occurrence occurrence);
+  MapLookupOptions();
+
+  constexpr static char const kTypeName[] = "MapLookupOptions";
+
+  /// The key to lookup in the map
+  std::shared_ptr<Scalar> query_key;
+
+  /// Whether to return the first, last, or all matching values
+  Occurrence occurrence;
+};
+
+/// @}
+
+/// \brief Get the absolute value of a value.
+///
+/// If argument is null the result will be null.
+///
+/// \param[in] arg the value transformed
+/// \param[in] options arithmetic options (overflow handling), optional
+/// \param[in] ctx the function execution context, optional
+/// \return the elementwise absolute value
+ARROW_EXPORT
+Result<Datum> AbsoluteValue(const Datum& arg,
+                            ArithmeticOptions options = ArithmeticOptions(),
+                            ExecContext* ctx = NULLPTR);
+
+/// \brief Add two values together. Array values must be the same length. If
+/// either addend is null the result will be null.
+///
+/// \param[in] left the first addend
+/// \param[in] right the second addend
+/// \param[in] options arithmetic options (overflow handling), optional
+/// \param[in] ctx the function execution context, optional
+/// \return the elementwise sum
+ARROW_EXPORT
+Result<Datum> Add(const Datum& left, const Datum& right,
+                  ArithmeticOptions options = ArithmeticOptions(),
+                  ExecContext* ctx = NULLPTR);
+
+/// \brief Subtract two values. Array values must be the same length. If the
+/// minuend or subtrahend is null the result will be null.
+///
+/// \param[in] left the value subtracted from (minuend)
+/// \param[in] right the value by which the minuend is reduced (subtrahend)
+/// \param[in] options arithmetic options (overflow handling), optional
+/// \param[in] ctx the function execution context, optional
+/// \return the elementwise difference
+ARROW_EXPORT
+Result<Datum> Subtract(const Datum& left, const Datum& right,
+                       ArithmeticOptions options = ArithmeticOptions(),
+                       ExecContext* ctx = NULLPTR);
+
+/// \brief Multiply two values. Array values must be the same length. If either
+/// factor is null the result will be null.
+///
+/// \param[in] left the first factor
+/// \param[in] right the second factor
+/// \param[in] options arithmetic options (overflow handling), optional
+/// \param[in] ctx the function execution context, optional
+/// \return the elementwise product
+ARROW_EXPORT
+Result<Datum> Multiply(const Datum& left, const Datum& right,
+                       ArithmeticOptions options = ArithmeticOptions(),
+                       ExecContext* ctx = NULLPTR);
+
+/// \brief Divide two values. Array values must be the same length. If either
+/// argument is null the result will be null. For integer types, if there is
+/// a zero divisor, an error will be raised.
+///
+/// \param[in] left the dividend
+/// \param[in] right the divisor
+/// \param[in] options arithmetic options (enable/disable overflow checking), optional
+/// \param[in] ctx the function execution context, optional
+/// \return the elementwise quotient
+ARROW_EXPORT
+Result<Datum> Divide(const Datum& left, const Datum& right,
+                     ArithmeticOptions options = ArithmeticOptions(),
+                     ExecContext* ctx = NULLPTR);
+
+/// \brief Negate values.
+///
+/// If argument is null the result will be null.
+///
+/// \param[in] arg the value negated
+/// \param[in] options arithmetic options (overflow handling), optional
+/// \param[in] ctx the function execution context, optional
+/// \return the elementwise negation
+ARROW_EXPORT
+Result<Datum> Negate(const Datum& arg, ArithmeticOptions options = ArithmeticOptions(),
+                     ExecContext* ctx = NULLPTR);
+
+/// \brief Raise the values of base array to the power of the exponent array values.
+/// Array values must be the same length. If either base or exponent is null the result
+/// will be null.
+///
+/// \param[in] left the base
+/// \param[in] right the exponent
+/// \param[in] options arithmetic options (enable/disable overflow checking), optional
+/// \param[in] ctx the function execution context, optional
+/// \return the elementwise base value raised to the power of exponent
+ARROW_EXPORT
+Result<Datum> Power(const Datum& left, const Datum& right,
+                    ArithmeticOptions options = ArithmeticOptions(),
+                    ExecContext* ctx = NULLPTR);
+
+/// \brief Raise Euler's number to the power of specified exponent, element-wise.
+/// If the exponent value is null the result will be null.
+///
+/// \param[in] arg the exponent
+/// \param[in] ctx the function execution context, optional
+/// \return the element-wise Euler's number raised to the power of exponent
+ARROW_EXPORT
+Result<Datum> Exp(const Datum& arg, ExecContext* ctx = NULLPTR);
+
+/// \brief Left shift the left array by the right array. Array values must be the
+/// same length. If either operand is null, the result will be null.
+///
+/// \param[in] left the value to shift
+/// \param[in] right the value to shift by
+/// \param[in] options arithmetic options (enable/disable overflow checking), optional
+/// \param[in] ctx the function execution context, optional
+/// \return the elementwise left value shifted left by the right value
+ARROW_EXPORT
+Result<Datum> ShiftLeft(const Datum& left, const Datum& right,
+                        ArithmeticOptions options = ArithmeticOptions(),
+                        ExecContext* ctx = NULLPTR);
+
+/// \brief Right shift the left array by the right array. Array values must be the
+/// same length. If either operand is null, the result will be null. Performs a
+/// logical shift for unsigned values, and an arithmetic shift for signed values.
+///
+/// \param[in] left the value to shift
+/// \param[in] right the value to shift by
+/// \param[in] options arithmetic options (enable/disable overflow checking), optional
+/// \param[in] ctx the function execution context, optional
+/// \return the elementwise left value shifted right by the right value
+ARROW_EXPORT
+Result<Datum> ShiftRight(const Datum& left, const Datum& right,
+                         ArithmeticOptions options = ArithmeticOptions(),
+                         ExecContext* ctx = NULLPTR);
+
+/// \brief Compute the sine of the array values.
+/// \param[in] arg The values to compute the sine for.
+/// \param[in] options arithmetic options (enable/disable overflow checking), optional
+/// \param[in] ctx the function execution context, optional
+/// \return the elementwise sine of the values
+ARROW_EXPORT
+Result<Datum> Sin(const Datum& arg, ArithmeticOptions options = ArithmeticOptions(),
+                  ExecContext* ctx = NULLPTR);
+
+/// \brief Compute the cosine of the array values.
+/// \param[in] arg The values to compute the cosine for.
+/// \param[in] options arithmetic options (enable/disable overflow checking), optional
+/// \param[in] ctx the function execution context, optional
+/// \return the elementwise cosine of the values
+ARROW_EXPORT
+Result<Datum> Cos(const Datum& arg, ArithmeticOptions options = ArithmeticOptions(),
+                  ExecContext* ctx = NULLPTR);
+
+/// \brief Compute the inverse sine (arcsine) of the array values.
+/// \param[in] arg The values to compute the inverse sine for.
+/// \param[in] options arithmetic options (enable/disable overflow checking), optional
+/// \param[in] ctx the function execution context, optional
+/// \return the elementwise inverse sine of the values
+ARROW_EXPORT
+Result<Datum> Asin(const Datum& arg, ArithmeticOptions options = ArithmeticOptions(),
+                   ExecContext* ctx = NULLPTR);
+
+/// \brief Compute the inverse cosine (arccosine) of the array values.
+/// \param[in] arg The values to compute the inverse cosine for.
+/// \param[in] options arithmetic options (enable/disable overflow checking), optional
+/// \param[in] ctx the function execution context, optional
+/// \return the elementwise inverse cosine of the values
+ARROW_EXPORT
+Result<Datum> Acos(const Datum& arg, ArithmeticOptions options = ArithmeticOptions(),
+                   ExecContext* ctx = NULLPTR);
+
+/// \brief Compute the tangent of the array values.
+/// \param[in] arg The values to compute the tangent for.
+/// \param[in] options arithmetic options (enable/disable overflow checking), optional
+/// \param[in] ctx the function execution context, optional
+/// \return the elementwise tangent of the values
+ARROW_EXPORT
+Result<Datum> Tan(const Datum& arg, ArithmeticOptions options = ArithmeticOptions(),
+                  ExecContext* ctx = NULLPTR);
+
+/// \brief Compute the inverse tangent (arctangent) of the array values.
+/// \param[in] arg The values to compute the inverse tangent for.
+/// \param[in] ctx the function execution context, optional
+/// \return the elementwise inverse tangent of the values
+ARROW_EXPORT
+Result<Datum> Atan(const Datum& arg, ExecContext* ctx = NULLPTR);
+
+/// \brief Compute the inverse tangent (arctangent) of y/x, using the
+/// argument signs to determine the correct quadrant.
+/// \param[in] y The y-values to compute the inverse tangent for.
+/// \param[in] x The x-values to compute the inverse tangent for.
+/// \param[in] ctx the function execution context, optional
+/// \return the elementwise inverse tangent of the values
+ARROW_EXPORT
+Result<Datum> Atan2(const Datum& y, const Datum& x, ExecContext* ctx = NULLPTR);
+
+/// \brief Get the natural log of a value.
+///
+/// If argument is null the result will be null.
+///
+/// \param[in] arg The values to compute the logarithm for.
+/// \param[in] options arithmetic options (overflow handling), optional
+/// \param[in] ctx the function execution context, optional
+/// \return the elementwise natural log
+ARROW_EXPORT
+Result<Datum> Ln(const Datum& arg, ArithmeticOptions options = ArithmeticOptions(),
+                 ExecContext* ctx = NULLPTR);
+
+/// \brief Get the log base 10 of a value.
+///
+/// If argument is null the result will be null.
+///
+/// \param[in] arg The values to compute the logarithm for.
+/// \param[in] options arithmetic options (overflow handling), optional
+/// \param[in] ctx the function execution context, optional
+/// \return the elementwise log base 10
+ARROW_EXPORT
+Result<Datum> Log10(const Datum& arg, ArithmeticOptions options = ArithmeticOptions(),
+                    ExecContext* ctx = NULLPTR);
+
+/// \brief Get the log base 2 of a value.
+///
+/// If argument is null the result will be null.
+///
+/// \param[in] arg The values to compute the logarithm for.
+/// \param[in] options arithmetic options (overflow handling), optional
+/// \param[in] ctx the function execution context, optional
+/// \return the elementwise log base 2
+ARROW_EXPORT
+Result<Datum> Log2(const Datum& arg, ArithmeticOptions options = ArithmeticOptions(),
+                   ExecContext* ctx = NULLPTR);
+
+/// \brief Get the natural log of (1 + value).
+///
+/// If argument is null the result will be null.
+/// This function may be more accurate than Log(1 + value) for values close to zero.
+///
+/// \param[in] arg The values to compute the logarithm for.
+/// \param[in] options arithmetic options (overflow handling), optional
+/// \param[in] ctx the function execution context, optional
+/// \return the elementwise natural log
+ARROW_EXPORT
+Result<Datum> Log1p(const Datum& arg, ArithmeticOptions options = ArithmeticOptions(),
+                    ExecContext* ctx = NULLPTR);
+
+/// \brief Get the log of a value to the given base.
+///
+/// If argument is null the result will be null.
+///
+/// \param[in] arg The values to compute the logarithm for.
+/// \param[in] base The given base.
+/// \param[in] options arithmetic options (overflow handling), optional
+/// \param[in] ctx the function execution context, optional
+/// \return the elementwise log to the given base
+ARROW_EXPORT
+Result<Datum> Logb(const Datum& arg, const Datum& base,
+                   ArithmeticOptions options = ArithmeticOptions(),
+                   ExecContext* ctx = NULLPTR);
+
+/// \brief Get the square-root of a value.
+///
+/// If argument is null the result will be null.
+///
+/// \param[in] arg The values to compute the square-root for.
+/// \param[in] options arithmetic options (overflow handling), optional
+/// \param[in] ctx the function execution context, optional
+/// \return the elementwise square-root
+ARROW_EXPORT
+Result<Datum> Sqrt(const Datum& arg, ArithmeticOptions options = ArithmeticOptions(),
+                   ExecContext* ctx = NULLPTR);
+
+/// \brief Round to the nearest integer less than or equal in magnitude to the
+/// argument.
+///
+/// If argument is null the result will be null.
+///
+/// \param[in] arg the value to round
+/// \param[in] ctx the function execution context, optional
+/// \return the rounded value
+ARROW_EXPORT
+Result<Datum> Floor(const Datum& arg, ExecContext* ctx = NULLPTR);
+
+/// \brief Round to the nearest integer greater than or equal in magnitude to the
+/// argument.
+///
+/// If argument is null the result will be null.
+///
+/// \param[in] arg the value to round
+/// \param[in] ctx the function execution context, optional
+/// \return the rounded value
+ARROW_EXPORT
+Result<Datum> Ceil(const Datum& arg, ExecContext* ctx = NULLPTR);
+
+/// \brief Get the integral part without fractional digits.
+///
+/// If argument is null the result will be null.
+///
+/// \param[in] arg the value to truncate
+/// \param[in] ctx the function execution context, optional
+/// \return the truncated value
+ARROW_EXPORT
+Result<Datum> Trunc(const Datum& arg, ExecContext* ctx = NULLPTR);
+
+/// \brief Find the element-wise maximum of any number of arrays or scalars.
+/// Array values must be the same length.
+///
+/// \param[in] args arrays or scalars to operate on.
+/// \param[in] options options for handling nulls, optional
+/// \param[in] ctx the function execution context, optional
+/// \return the element-wise maximum
+ARROW_EXPORT
+Result<Datum> MaxElementWise(
+    const std::vector<Datum>& args,
+    ElementWiseAggregateOptions options = ElementWiseAggregateOptions::Defaults(),
+    ExecContext* ctx = NULLPTR);
+
+/// \brief Find the element-wise minimum of any number of arrays or scalars.
+/// Array values must be the same length.
+///
+/// \param[in] args arrays or scalars to operate on.
+/// \param[in] options options for handling nulls, optional
+/// \param[in] ctx the function execution context, optional
+/// \return the element-wise minimum
+ARROW_EXPORT
+Result<Datum> MinElementWise(
+    const std::vector<Datum>& args,
+    ElementWiseAggregateOptions options = ElementWiseAggregateOptions::Defaults(),
+    ExecContext* ctx = NULLPTR);
+
+/// \brief Get the sign of a value. Array values can be of arbitrary length. If argument
+/// is null the result will be null.
+///
+/// \param[in] arg the value to extract sign from
+/// \param[in] ctx the function execution context, optional
+/// \return the element-wise sign function
+ARROW_EXPORT
+Result<Datum> Sign(const Datum& arg, ExecContext* ctx = NULLPTR);
+
+/// \brief Round a value to a given precision.
+///
+/// If arg is null the result will be null.
+///
+/// \param[in] arg the value to be rounded
+/// \param[in] options rounding options (rounding mode and number of digits), optional
+/// \param[in] ctx the function execution context, optional
+/// \return the element-wise rounded value
+ARROW_EXPORT
+Result<Datum> Round(const Datum& arg, RoundOptions options = RoundOptions::Defaults(),
+                    ExecContext* ctx = NULLPTR);
+
+/// \brief Round a value to a given precision.
+///
+/// If arg1 is null the result will be null.
+/// If arg2 is null then the result will be null. If arg2 is negative, then the rounding
+/// place will be shifted to the left (thus -1 would correspond to rounding to the nearest
+/// ten).  If positive, the rounding place will shift to the right (and +1 would
+/// correspond to rounding to the nearest tenth).
+///
+/// \param[in] arg1 the value to be rounded
+/// \param[in] arg2 the number of significant digits to round to
+/// \param[in] options rounding options, optional
+/// \param[in] ctx the function execution context, optional
+/// \return the element-wise rounded value
+ARROW_EXPORT
+Result<Datum> RoundBinary(const Datum& arg1, const Datum& arg2,
+                          RoundBinaryOptions options = RoundBinaryOptions::Defaults(),
+                          ExecContext* ctx = NULLPTR);
+
+/// \brief Round a value to a given multiple.
+///
+/// If argument is null the result will be null.
+///
+/// \param[in] arg the value to round
+/// \param[in] options rounding options (rounding mode and multiple), optional
+/// \param[in] ctx the function execution context, optional
+/// \return the element-wise rounded value
+ARROW_EXPORT
+Result<Datum> RoundToMultiple(
+    const Datum& arg, RoundToMultipleOptions options = RoundToMultipleOptions::Defaults(),
+    ExecContext* ctx = NULLPTR);
+
+/// \brief Ceil a temporal value to a given frequency
+///
+/// If argument is null the result will be null.
+///
+/// \param[in] arg the temporal value to ceil
+/// \param[in] options temporal rounding options, optional
+/// \param[in] ctx the function execution context, optional
+/// \return the element-wise rounded value
+///
+/// \since 7.0.0
+/// \note API not yet finalized
+ARROW_EXPORT
+Result<Datum> CeilTemporal(
+    const Datum& arg, RoundTemporalOptions options = RoundTemporalOptions::Defaults(),
+    ExecContext* ctx = NULLPTR);
+
+/// \brief Floor a temporal value to a given frequency
+///
+/// If argument is null the result will be null.
+///
+/// \param[in] arg the temporal value to floor
+/// \param[in] options temporal rounding options, optional
+/// \param[in] ctx the function execution context, optional
+/// \return the element-wise rounded value
+///
+/// \since 7.0.0
+/// \note API not yet finalized
+ARROW_EXPORT
+Result<Datum> FloorTemporal(
+    const Datum& arg, RoundTemporalOptions options = RoundTemporalOptions::Defaults(),
+    ExecContext* ctx = NULLPTR);
+
+/// \brief Round a temporal value to a given frequency
+///
+/// If argument is null the result will be null.
+///
+/// \param[in] arg the temporal value to round
+/// \param[in] options temporal rounding options, optional
+/// \param[in] ctx the function execution context, optional
+/// \return the element-wise rounded value
+///
+/// \since 7.0.0
+/// \note API not yet finalized
+ARROW_EXPORT
+Result<Datum> RoundTemporal(
+    const Datum& arg, RoundTemporalOptions options = RoundTemporalOptions::Defaults(),
+    ExecContext* ctx = NULLPTR);
+
+/// \brief Invert the values of a boolean datum
+/// \param[in] value datum to invert
+/// \param[in] ctx the function execution context, optional
+/// \return the resulting datum
+///
+/// \since 1.0.0
+/// \note API not yet finalized
+ARROW_EXPORT
+Result<Datum> Invert(const Datum& value, ExecContext* ctx = NULLPTR);
+
+/// \brief Element-wise AND of two boolean datums which always propagates nulls
+/// (null and false is null).
+///
+/// \param[in] left left operand
+/// \param[in] right right operand
+/// \param[in] ctx the function execution context, optional
+/// \return the resulting datum
+///
+/// \since 1.0.0
+/// \note API not yet finalized
+ARROW_EXPORT
+Result<Datum> And(const Datum& left, const Datum& right, ExecContext* ctx = NULLPTR);
+
+/// \brief Element-wise AND of two boolean datums with a Kleene truth table
+/// (null and false is false).
+///
+/// \param[in] left left operand
+/// \param[in] right right operand
+/// \param[in] ctx the function execution context, optional
+/// \return the resulting datum
+///
+/// \since 1.0.0
+/// \note API not yet finalized
+ARROW_EXPORT
+Result<Datum> KleeneAnd(const Datum& left, const Datum& right,
+                        ExecContext* ctx = NULLPTR);
+
+/// \brief Element-wise OR of two boolean datums which always propagates nulls
+/// (null and true is null).
+///
+/// \param[in] left left operand
+/// \param[in] right right operand
+/// \param[in] ctx the function execution context, optional
+/// \return the resulting datum
+///
+/// \since 1.0.0
+/// \note API not yet finalized
+ARROW_EXPORT
+Result<Datum> Or(const Datum& left, const Datum& right, ExecContext* ctx = NULLPTR);
+
+/// \brief Element-wise OR of two boolean datums with a Kleene truth table
+/// (null or true is true).
+///
+/// \param[in] left left operand
+/// \param[in] right right operand
+/// \param[in] ctx the function execution context, optional
+/// \return the resulting datum
+///
+/// \since 1.0.0
+/// \note API not yet finalized
+ARROW_EXPORT
+Result<Datum> KleeneOr(const Datum& left, const Datum& right, ExecContext* ctx = NULLPTR);
+
+/// \brief Element-wise XOR of two boolean datums
+/// \param[in] left left operand
+/// \param[in] right right operand
+/// \param[in] ctx the function execution context, optional
+/// \return the resulting datum
+///
+/// \since 1.0.0
+/// \note API not yet finalized
+ARROW_EXPORT
+Result<Datum> Xor(const Datum& left, const Datum& right, ExecContext* ctx = NULLPTR);
+
+/// \brief Element-wise AND NOT of two boolean datums which always propagates nulls
+/// (null and not true is null).
+///
+/// \param[in] left left operand
+/// \param[in] right right operand
+/// \param[in] ctx the function execution context, optional
+/// \return the resulting datum
+///
+/// \since 3.0.0
+/// \note API not yet finalized
+ARROW_EXPORT
+Result<Datum> AndNot(const Datum& left, const Datum& right, ExecContext* ctx = NULLPTR);
+
+/// \brief Element-wise AND NOT of two boolean datums with a Kleene truth table
+/// (false and not null is false, null and not true is false).
+///
+/// \param[in] left left operand
+/// \param[in] right right operand
+/// \param[in] ctx the function execution context, optional
+/// \return the resulting datum
+///
+/// \since 3.0.0
+/// \note API not yet finalized
+ARROW_EXPORT
+Result<Datum> KleeneAndNot(const Datum& left, const Datum& right,
+                           ExecContext* ctx = NULLPTR);
+
+/// \brief IsIn returns true for each element of `values` that is contained in
+/// `value_set`
+///
+/// Behaviour of nulls is governed by SetLookupOptions::skip_nulls.
+///
+/// \param[in] values array-like input to look up in value_set
+/// \param[in] options SetLookupOptions
+/// \param[in] ctx the function execution context, optional
+/// \return the resulting datum
+///
+/// \since 1.0.0
+/// \note API not yet finalized
+ARROW_EXPORT
+Result<Datum> IsIn(const Datum& values, const SetLookupOptions& options,
+                   ExecContext* ctx = NULLPTR);
+ARROW_EXPORT
+Result<Datum> IsIn(const Datum& values, const Datum& value_set,
+                   ExecContext* ctx = NULLPTR);
+
+/// \brief IndexIn examines each slot in the values against a value_set array.
+/// If the value is not found in value_set, null will be output.
+/// If found, the index of occurrence within value_set (ignoring duplicates)
+/// will be output.
+///
+/// For example given values = [99, 42, 3, null] and
+/// value_set = [3, 3, 99], the output will be = [2, null, 0, null]
+///
+/// Behaviour of nulls is governed by SetLookupOptions::skip_nulls.
+///
+/// \param[in] values array-like input
+/// \param[in] options SetLookupOptions
+/// \param[in] ctx the function execution context, optional
+/// \return the resulting datum
+///
+/// \since 1.0.0
+/// \note API not yet finalized
+ARROW_EXPORT
+Result<Datum> IndexIn(const Datum& values, const SetLookupOptions& options,
+                      ExecContext* ctx = NULLPTR);
+ARROW_EXPORT
+Result<Datum> IndexIn(const Datum& values, const Datum& value_set,
+                      ExecContext* ctx = NULLPTR);
+
+/// \brief IsValid returns true for each element of `values` that is not null,
+/// false otherwise
+///
+/// \param[in] values input to examine for validity
+/// \param[in] ctx the function execution context, optional
+/// \return the resulting datum
+///
+/// \since 1.0.0
+/// \note API not yet finalized
+ARROW_EXPORT
+Result<Datum> IsValid(const Datum& values, ExecContext* ctx = NULLPTR);
+
+/// \brief IsNull returns true for each element of `values` that is null,
+/// false otherwise
+///
+/// \param[in] values input to examine for nullity
+/// \param[in] options NullOptions
+/// \param[in] ctx the function execution context, optional
+/// \return the resulting datum
+///
+/// \since 1.0.0
+/// \note API not yet finalized
+ARROW_EXPORT
+Result<Datum> IsNull(const Datum& values, NullOptions options = NullOptions::Defaults(),
+                     ExecContext* ctx = NULLPTR);
+
+/// \brief IsNan returns true for each element of `values` that is NaN,
+/// false otherwise
+///
+/// \param[in] values input to look for NaN
+/// \param[in] ctx the function execution context, optional
+/// \return the resulting datum
+///
+/// \since 3.0.0
+/// \note API not yet finalized
+ARROW_EXPORT
+Result<Datum> IsNan(const Datum& values, ExecContext* ctx = NULLPTR);
+
+/// \brief IfElse returns elements chosen from `left` or `right`
+/// depending on `cond`. `null` values in `cond` will be promoted to the result
+///
+/// \param[in] cond `Boolean` condition Scalar/ Array
+/// \param[in] left Scalar/ Array
+/// \param[in] right Scalar/ Array
+/// \param[in] ctx the function execution context, optional
+///
+/// \return the resulting datum
+///
+/// \since 5.0.0
+/// \note API not yet finalized
+ARROW_EXPORT
+Result<Datum> IfElse(const Datum& cond, const Datum& left, const Datum& right,
+                     ExecContext* ctx = NULLPTR);
+
+/// \brief CaseWhen behaves like a switch/case or if-else if-else statement: for
+/// each row, select the first value for which the corresponding condition is
+/// true, or (if given) select the 'else' value, else emit null. Note that a
+/// null condition is the same as false.
+///
+/// \param[in] cond Conditions (Boolean)
+/// \param[in] cases Values (any type), along with an optional 'else' value.
+/// \param[in] ctx the function execution context, optional
+///
+/// \return the resulting datum
+///
+/// \since 5.0.0
+/// \note API not yet finalized
+ARROW_EXPORT
+Result<Datum> CaseWhen(const Datum& cond, const std::vector<Datum>& cases,
+                       ExecContext* ctx = NULLPTR);
+
+/// \brief Year returns year for each element of `values`
+///
+/// \param[in] values input to extract year from
+/// \param[in] ctx the function execution context, optional
+/// \return the resulting datum
+///
+/// \since 5.0.0
+/// \note API not yet finalized
+ARROW_EXPORT
+Result<Datum> Year(const Datum& values, ExecContext* ctx = NULLPTR);
+
+/// \brief IsLeapYear returns if a year is a leap year for each element of `values`
+///
+/// \param[in] values input to extract leap year indicator from
+/// \param[in] ctx the function execution context, optional
+/// \return the resulting datum
+///
+/// \since 8.0.0
+/// \note API not yet finalized
+ARROW_EXPORT
+Result<Datum> IsLeapYear(const Datum& values, ExecContext* ctx = NULLPTR);
+
+/// \brief Month returns month for each element of `values`.
+/// Month is encoded as January=1, December=12
+///
+/// \param[in] values input to extract month from
+/// \param[in] ctx the function execution context, optional
+/// \return the resulting datum
+///
+/// \since 5.0.0
+/// \note API not yet finalized
+ARROW_EXPORT
+Result<Datum> Month(const Datum& values, ExecContext* ctx = NULLPTR);
+
+/// \brief Day returns day number for each element of `values`
+///
+/// \param[in] values input to extract day from
+/// \param[in] ctx the function execution context, optional
+/// \return the resulting datum
+///
+/// \since 5.0.0
+/// \note API not yet finalized
+ARROW_EXPORT
+Result<Datum> Day(const Datum& values, ExecContext* ctx = NULLPTR);
+
+/// \brief YearMonthDay returns a struct containing the Year, Month and Day value for
+/// each element of `values`.
+///
+/// \param[in] values input to extract (year, month, day) struct from
+/// \param[in] ctx the function execution context, optional
+/// \return the resulting datum
+///
+/// \since 7.0.0
+/// \note API not yet finalized
+ARROW_EXPORT
+Result<Datum> YearMonthDay(const Datum& values, ExecContext* ctx = NULLPTR);
+
+/// \brief DayOfWeek returns number of the day of the week value for each element of
+/// `values`.
+///
+/// By default week starts on Monday denoted by 0 and ends on Sunday denoted
+/// by 6. Start day of the week (Monday=1, Sunday=7) and numbering base (0 or 1) can be
+/// set using DayOfWeekOptions
+///
+/// \param[in] values input to extract number of the day of the week from
+/// \param[in] options for setting start of the week and day numbering
+/// \param[in] ctx the function execution context, optional
+/// \return the resulting datum
+///
+/// \since 5.0.0
+/// \note API not yet finalized
+ARROW_EXPORT Result<Datum> DayOfWeek(const Datum& values,
+                                     DayOfWeekOptions options = DayOfWeekOptions(),
+                                     ExecContext* ctx = NULLPTR);
+
+/// \brief DayOfYear returns number of day of the year for each element of `values`.
+/// January 1st maps to day number 1, February 1st to 32, etc.
+///
+/// \param[in] values input to extract number of day of the year from
+/// \param[in] ctx the function execution context, optional
+/// \return the resulting datum
+///
+/// \since 5.0.0
+/// \note API not yet finalized
+ARROW_EXPORT Result<Datum> DayOfYear(const Datum& values, ExecContext* ctx = NULLPTR);
+
+/// \brief ISOYear returns ISO year number for each element of `values`.
+/// First week of an ISO year has the majority (4 or more) of its days in January.
+///
+/// \param[in] values input to extract ISO year from
+/// \param[in] ctx the function execution context, optional
+/// \return the resulting datum
+///
+/// \since 5.0.0
+/// \note API not yet finalized
+ARROW_EXPORT
+Result<Datum> ISOYear(const Datum& values, ExecContext* ctx = NULLPTR);
+
+/// \brief USYear returns US epidemiological year number for each element of `values`.
+/// First week of US epidemiological year has the majority (4 or more) of it's
+/// days in January. Last week of US epidemiological year has the year's last
+/// Wednesday in it. US epidemiological week starts on Sunday.
+///
+/// \param[in] values input to extract US epidemiological year from
+/// \param[in] ctx the function execution context, optional
+/// \return the resulting datum
+///
+/// \since 8.0.0
+/// \note API not yet finalized
+ARROW_EXPORT
+Result<Datum> USYear(const Datum& values, ExecContext* ctx = NULLPTR);
+
+/// \brief ISOWeek returns ISO week of year number for each element of `values`.
+/// First ISO week has the majority (4 or more) of its days in January.
+/// ISO week starts on Monday. Year can have 52 or 53 weeks.
+/// Week numbering can start with 1.
+///
+/// \param[in] values input to extract ISO week of year from
+/// \param[in] ctx the function execution context, optional
+/// \return the resulting datum
+///
+/// \since 5.0.0
+/// \note API not yet finalized
+ARROW_EXPORT Result<Datum> ISOWeek(const Datum& values, ExecContext* ctx = NULLPTR);
+
+/// \brief USWeek returns US week of year number for each element of `values`.
+/// First US week has the majority (4 or more) of its days in January.
+/// US week starts on Sunday. Year can have 52 or 53 weeks.
+/// Week numbering starts with 1.
+///
+/// \param[in] values input to extract US week of year from
+/// \param[in] ctx the function execution context, optional
+/// \return the resulting datum
+///
+/// \since 6.0.0
+/// \note API not yet finalized
+ARROW_EXPORT Result<Datum> USWeek(const Datum& values, ExecContext* ctx = NULLPTR);
+
+/// \brief Week returns week of year number for each element of `values`.
+/// First ISO week has the majority (4 or more) of its days in January.
+/// Year can have 52 or 53 weeks. Week numbering can start with 0 or 1
+/// depending on DayOfWeekOptions.count_from_zero.
+///
+/// \param[in] values input to extract week of year from
+/// \param[in] options for setting numbering start
+/// \param[in] ctx the function execution context, optional
+/// \return the resulting datum
+///
+/// \since 6.0.0
+/// \note API not yet finalized
+ARROW_EXPORT Result<Datum> Week(const Datum& values, WeekOptions options = WeekOptions(),
+                                ExecContext* ctx = NULLPTR);
+
+/// \brief ISOCalendar returns a (ISO year, ISO week, ISO day of week) struct for
+/// each element of `values`.
+/// ISO week starts on Monday denoted by 1 and ends on Sunday denoted by 7.
+///
+/// \param[in] values input to ISO calendar struct from
+/// \param[in] ctx the function execution context, optional
+/// \return the resulting datum
+///
+/// \since 5.0.0
+/// \note API not yet finalized
+ARROW_EXPORT Result<Datum> ISOCalendar(const Datum& values, ExecContext* ctx = NULLPTR);
+
+/// \brief Quarter returns the quarter of year number for each element of `values`
+/// First quarter maps to 1 and fourth quarter maps to 4.
+///
+/// \param[in] values input to extract quarter of year from
+/// \param[in] ctx the function execution context, optional
+/// \return the resulting datum
+///
+/// \since 5.0.0
+/// \note API not yet finalized
+ARROW_EXPORT Result<Datum> Quarter(const Datum& values, ExecContext* ctx = NULLPTR);
+
+/// \brief Hour returns hour value for each element of `values`
+///
+/// \param[in] values input to extract hour from
+/// \param[in] ctx the function execution context, optional
+/// \return the resulting datum
+///
+/// \since 5.0.0
+/// \note API not yet finalized
+ARROW_EXPORT
+Result<Datum> Hour(const Datum& values, ExecContext* ctx = NULLPTR);
+
+/// \brief Minute returns minutes value for each element of `values`
+///
+/// \param[in] values input to extract minutes from
+/// \param[in] ctx the function execution context, optional
+/// \return the resulting datum
+///
+/// \since 5.0.0
+/// \note API not yet finalized
+ARROW_EXPORT
+Result<Datum> Minute(const Datum& values, ExecContext* ctx = NULLPTR);
+
+/// \brief Second returns seconds value for each element of `values`
+///
+/// \param[in] values input to extract seconds from
+/// \param[in] ctx the function execution context, optional
+/// \return the resulting datum
+///
+/// \since 5.0.0
+/// \note API not yet finalized
+ARROW_EXPORT
+Result<Datum> Second(const Datum& values, ExecContext* ctx = NULLPTR);
+
+/// \brief Millisecond returns number of milliseconds since the last full second
+/// for each element of `values`
+///
+/// \param[in] values input to extract milliseconds from
+/// \param[in] ctx the function execution context, optional
+/// \return the resulting datum
+///
+/// \since 5.0.0
+/// \note API not yet finalized
+ARROW_EXPORT
+Result<Datum> Millisecond(const Datum& values, ExecContext* ctx = NULLPTR);
+
+/// \brief Microsecond returns number of microseconds since the last full millisecond
+/// for each element of `values`
+///
+/// \param[in] values input to extract microseconds from
+/// \param[in] ctx the function execution context, optional
+/// \return the resulting datum
+///
+/// \since 5.0.0
+/// \note API not yet finalized
+ARROW_EXPORT
+Result<Datum> Microsecond(const Datum& values, ExecContext* ctx = NULLPTR);
+
+/// \brief Nanosecond returns number of nanoseconds since the last full millisecond
+/// for each element of `values`
+///
+/// \param[in] values input to extract nanoseconds from
+/// \param[in] ctx the function execution context, optional
+/// \return the resulting datum
+///
+/// \since 5.0.0
+/// \note API not yet finalized
+ARROW_EXPORT
+Result<Datum> Nanosecond(const Datum& values, ExecContext* ctx = NULLPTR);
+
+/// \brief Subsecond returns the fraction of second elapsed since last full second
+/// as a float for each element of `values`
+///
+/// \param[in] values input to extract subsecond from
+/// \param[in] ctx the function execution context, optional
+/// \return the resulting datum
+///
+/// \since 5.0.0
+/// \note API not yet finalized
+ARROW_EXPORT Result<Datum> Subsecond(const Datum& values, ExecContext* ctx = NULLPTR);
+
+/// \brief Format timestamps according to a format string
+///
+/// Return formatted time strings according to the format string
+/// `StrftimeOptions::format` and to the locale specifier `Strftime::locale`.
+///
+/// \param[in] values input timestamps
+/// \param[in] options for setting format string and locale
+/// \param[in] ctx the function execution context, optional
+/// \return the resulting datum
+///
+/// \since 6.0.0
+/// \note API not yet finalized
+ARROW_EXPORT Result<Datum> Strftime(const Datum& values, StrftimeOptions options,
+                                    ExecContext* ctx = NULLPTR);
+
+/// \brief Parse timestamps according to a format string
+///
+/// Return parsed timestamps according to the format string
+/// `StrptimeOptions::format` at time resolution `Strftime::unit`. Parse errors are
+/// raised depending on the `Strftime::error_is_null` setting.
+///
+/// \param[in] values input strings
+/// \param[in] options for setting format string, unit and error_is_null
+/// \param[in] ctx the function execution context, optional
+/// \return the resulting datum
+///
+/// \since 8.0.0
+/// \note API not yet finalized
+ARROW_EXPORT Result<Datum> Strptime(const Datum& values, StrptimeOptions options,
+                                    ExecContext* ctx = NULLPTR);
+
+/// \brief Converts timestamps from local timestamp without a timezone to a timestamp with
+/// timezone, interpreting the local timestamp as being in the specified timezone for each
+/// element of `values`
+///
+/// \param[in] values input to convert
+/// \param[in] options for setting source timezone, exception and ambiguous timestamp
+/// handling.
+/// \param[in] ctx the function execution context, optional
+/// \return the resulting datum
+///
+/// \since 6.0.0
+/// \note API not yet finalized
+ARROW_EXPORT Result<Datum> AssumeTimezone(const Datum& values,
+                                          AssumeTimezoneOptions options,
+                                          ExecContext* ctx = NULLPTR);
+
+/// \brief IsDaylightSavings extracts if currently observing daylight savings for each
+/// element of `values`
+///
+/// \param[in] values input to extract daylight savings indicator from
+/// \param[in] ctx the function execution context, optional
+/// \return the resulting datum
+///
+/// \since 8.0.0
+/// \note API not yet finalized
+ARROW_EXPORT Result<Datum> IsDaylightSavings(const Datum& values,
+                                             ExecContext* ctx = NULLPTR);
+
+/// \brief LocalTimestamp converts timestamp to timezone naive local timestamp
+///
+/// \param[in] values input to convert to local time
+/// \param[in] ctx the function execution context, optional
+/// \return the resulting datum
+///
+/// \since 12.0.0
+/// \note API not yet finalized
+ARROW_EXPORT Result<Datum> LocalTimestamp(const Datum& values,
+                                          ExecContext* ctx = NULLPTR);
+
+/// \brief Years Between finds the number of years between two values
+///
+/// \param[in] left input treated as the start time
+/// \param[in] right input treated as the end time
+/// \param[in] ctx the function execution context, optional
+/// \return the resulting datum
+///
+/// \since 8.0.0
+/// \note API not yet finalized
+ARROW_EXPORT Result<Datum> YearsBetween(const Datum& left, const Datum& right,
+                                        ExecContext* ctx = NULLPTR);
+
+/// \brief Quarters Between finds the number of quarters between two values
+///
+/// \param[in] left input treated as the start time
+/// \param[in] right input treated as the end time
+/// \param[in] ctx the function execution context, optional
+/// \return the resulting datum
+///
+/// \since 8.0.0
+/// \note API not yet finalized
+ARROW_EXPORT Result<Datum> QuartersBetween(const Datum& left, const Datum& right,
+                                           ExecContext* ctx = NULLPTR);
+
+/// \brief Months Between finds the number of month between two values
+///
+/// \param[in] left input treated as the start time
+/// \param[in] right input treated as the end time
+/// \param[in] ctx the function execution context, optional
+/// \return the resulting datum
+///
+/// \since 8.0.0
+/// \note API not yet finalized
+ARROW_EXPORT Result<Datum> MonthsBetween(const Datum& left, const Datum& right,
+                                         ExecContext* ctx = NULLPTR);
+
+/// \brief Weeks Between finds the number of weeks between two values
+///
+/// \param[in] left input treated as the start time
+/// \param[in] right input treated as the end time
+/// \param[in] ctx the function execution context, optional
+/// \return the resulting datum
+///
+/// \since 8.0.0
+/// \note API not yet finalized
+ARROW_EXPORT Result<Datum> WeeksBetween(const Datum& left, const Datum& right,
+                                        ExecContext* ctx = NULLPTR);
+
+/// \brief Month Day Nano Between finds the number of months, days, and nanoseconds
+/// between two values
+///
+/// \param[in] left input treated as the start time
+/// \param[in] right input treated as the end time
+/// \param[in] ctx the function execution context, optional
+/// \return the resulting datum
+///
+/// \since 8.0.0
+/// \note API not yet finalized
+ARROW_EXPORT Result<Datum> MonthDayNanoBetween(const Datum& left, const Datum& right,
+                                               ExecContext* ctx = NULLPTR);
+
+/// \brief DayTime Between finds the number of days and milliseconds between two values
+///
+/// \param[in] left input treated as the start time
+/// \param[in] right input treated as the end time
+/// \param[in] ctx the function execution context, optional
+/// \return the resulting datum
+///
+/// \since 8.0.0
+/// \note API not yet finalized
+ARROW_EXPORT Result<Datum> DayTimeBetween(const Datum& left, const Datum& right,
+                                          ExecContext* ctx = NULLPTR);
+
+/// \brief Days Between finds the number of days between two values
+///
+/// \param[in] left input treated as the start time
+/// \param[in] right input treated as the end time
+/// \param[in] ctx the function execution context, optional
+/// \return the resulting datum
+///
+/// \since 8.0.0
+/// \note API not yet finalized
+ARROW_EXPORT Result<Datum> DaysBetween(const Datum& left, const Datum& right,
+                                       ExecContext* ctx = NULLPTR);
+
+/// \brief Hours Between finds the number of hours between two values
+///
+/// \param[in] left input treated as the start time
+/// \param[in] right input treated as the end time
+/// \param[in] ctx the function execution context, optional
+/// \return the resulting datum
+///
+/// \since 8.0.0
+/// \note API not yet finalized
+ARROW_EXPORT Result<Datum> HoursBetween(const Datum& left, const Datum& right,
+                                        ExecContext* ctx = NULLPTR);
+
+/// \brief Minutes Between finds the number of minutes between two values
+///
+/// \param[in] left input treated as the start time
+/// \param[in] right input treated as the end time
+/// \param[in] ctx the function execution context, optional
+/// \return the resulting datum
+///
+/// \since 8.0.0
+/// \note API not yet finalized
+ARROW_EXPORT Result<Datum> MinutesBetween(const Datum& left, const Datum& right,
+                                          ExecContext* ctx = NULLPTR);
+
+/// \brief Seconds Between finds the number of hours between two values
+///
+/// \param[in] left input treated as the start time
+/// \param[in] right input treated as the end time
+/// \param[in] ctx the function execution context, optional
+/// \return the resulting datum
+///
+/// \since 8.0.0
+/// \note API not yet finalized
+ARROW_EXPORT Result<Datum> SecondsBetween(const Datum& left, const Datum& right,
+                                          ExecContext* ctx = NULLPTR);
+
+/// \brief Milliseconds Between finds the number of milliseconds between two values
+///
+/// \param[in] left input treated as the start time
+/// \param[in] right input treated as the end time
+/// \param[in] ctx the function execution context, optional
+/// \return the resulting datum
+///
+/// \since 8.0.0
+/// \note API not yet finalized
+ARROW_EXPORT Result<Datum> MillisecondsBetween(const Datum& left, const Datum& right,
+                                               ExecContext* ctx = NULLPTR);
+
+/// \brief Microseconds Between finds the number of microseconds between two values
+///
+/// \param[in] left input treated as the start time
+/// \param[in] right input treated as the end time
+/// \param[in] ctx the function execution context, optional
+/// \return the resulting datum
+///
+/// \since 8.0.0
+/// \note API not yet finalized
+ARROW_EXPORT Result<Datum> MicrosecondsBetween(const Datum& left, const Datum& right,
+                                               ExecContext* ctx = NULLPTR);
+
+/// \brief Nanoseconds Between finds the number of nanoseconds between two values
+///
+/// \param[in] left input treated as the start time
+/// \param[in] right input treated as the end time
+/// \param[in] ctx the function execution context, optional
+/// \return the resulting datum
+///
+/// \since 8.0.0
+/// \note API not yet finalized
+ARROW_EXPORT Result<Datum> NanosecondsBetween(const Datum& left, const Datum& right,
+                                              ExecContext* ctx = NULLPTR);
+
+/// \brief Finds either the FIRST, LAST, or ALL items with a key that matches the given
+/// query key in a map.
+///
+/// Returns an array of items for FIRST and LAST, and an array of list of items for ALL.
+///
+/// \param[in] map to look in
+/// \param[in] options to pass a query key and choose which matching keys to return
+/// (FIRST, LAST or ALL)
+/// \param[in] ctx the function execution context, optional
+/// \return the resulting datum
+///
+/// \since 8.0.0
+/// \note API not yet finalized
+ARROW_EXPORT Result<Datum> MapLookup(const Datum& map, MapLookupOptions options,
+                                     ExecContext* ctx = NULLPTR);
+}  // namespace compute
+}  // namespace arrow

env-llmeval/lib/python3.10/site-packages/pyarrow/include/arrow/compute/api_vector.h

@@ -0,0 +1,697 @@
+// 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 <memory>
+#include <utility>
+
+#include "arrow/compute/function_options.h"
+#include "arrow/compute/ordering.h"
+#include "arrow/result.h"
+#include "arrow/type_fwd.h"
+
+namespace arrow {
+namespace compute {
+
+class ExecContext;
+
+/// \addtogroup compute-concrete-options
+/// @{
+
+class ARROW_EXPORT FilterOptions : public FunctionOptions {
+ public:
+  /// Configure the action taken when a slot of the selection mask is null
+  enum NullSelectionBehavior {
+    /// The corresponding filtered value will be removed in the output.
+    DROP,
+    /// The corresponding filtered value will be null in the output.
+    EMIT_NULL,
+  };
+
+  explicit FilterOptions(NullSelectionBehavior null_selection = DROP);
+  static constexpr char const kTypeName[] = "FilterOptions";
+  static FilterOptions Defaults() { return FilterOptions(); }
+
+  NullSelectionBehavior null_selection_behavior = DROP;
+};
+
+class ARROW_EXPORT TakeOptions : public FunctionOptions {
+ public:
+  explicit TakeOptions(bool boundscheck = true);
+  static constexpr char const kTypeName[] = "TakeOptions";
+  static TakeOptions BoundsCheck() { return TakeOptions(true); }
+  static TakeOptions NoBoundsCheck() { return TakeOptions(false); }
+  static TakeOptions Defaults() { return BoundsCheck(); }
+
+  bool boundscheck = true;
+};
+
+/// \brief Options for the dictionary encode function
+class ARROW_EXPORT DictionaryEncodeOptions : public FunctionOptions {
+ public:
+  /// Configure how null values will be encoded
+  enum NullEncodingBehavior {
+    /// The null value will be added to the dictionary with a proper index.
+    ENCODE,
+    /// The null value will be masked in the indices array.
+    MASK
+  };
+
+  explicit DictionaryEncodeOptions(NullEncodingBehavior null_encoding = MASK);
+  static constexpr char const kTypeName[] = "DictionaryEncodeOptions";
+  static DictionaryEncodeOptions Defaults() { return DictionaryEncodeOptions(); }
+
+  NullEncodingBehavior null_encoding_behavior = MASK;
+};
+
+/// \brief Options for the run-end encode function
+class ARROW_EXPORT RunEndEncodeOptions : public FunctionOptions {
+ public:
+  explicit RunEndEncodeOptions(std::shared_ptr<DataType> run_end_type = int32());
+  static constexpr char const kTypeName[] = "RunEndEncodeOptions";
+  static RunEndEncodeOptions Defaults() { return RunEndEncodeOptions(); }
+
+  std::shared_ptr<DataType> run_end_type;
+};
+
+class ARROW_EXPORT ArraySortOptions : public FunctionOptions {
+ public:
+  explicit ArraySortOptions(SortOrder order = SortOrder::Ascending,
+                            NullPlacement null_placement = NullPlacement::AtEnd);
+  static constexpr char const kTypeName[] = "ArraySortOptions";
+  static ArraySortOptions Defaults() { return ArraySortOptions(); }
+
+  /// Sorting order
+  SortOrder order;
+  /// Whether nulls and NaNs are placed at the start or at the end
+  NullPlacement null_placement;
+};
+
+class ARROW_EXPORT SortOptions : public FunctionOptions {
+ public:
+  explicit SortOptions(std::vector<SortKey> sort_keys = {},
+                       NullPlacement null_placement = NullPlacement::AtEnd);
+  explicit SortOptions(const Ordering& ordering);
+  static constexpr char const kTypeName[] = "SortOptions";
+  static SortOptions Defaults() { return SortOptions(); }
+  /// Convenience constructor to create an ordering from SortOptions
+  ///
+  /// Note: Both classes contain the exact same information.  However,
+  /// sort_options should only be used in a "function options" context while Ordering
+  /// is used more generally.
+  Ordering AsOrdering() && { return Ordering(std::move(sort_keys), null_placement); }
+  Ordering AsOrdering() const& { return Ordering(sort_keys, null_placement); }
+
+  /// Column key(s) to order by and how to order by these sort keys.
+  std::vector<SortKey> sort_keys;
+  /// Whether nulls and NaNs are placed at the start or at the end
+  NullPlacement null_placement;
+};
+
+/// \brief SelectK options
+class ARROW_EXPORT SelectKOptions : public FunctionOptions {
+ public:
+  explicit SelectKOptions(int64_t k = -1, std::vector<SortKey> sort_keys = {});
+  static constexpr char const kTypeName[] = "SelectKOptions";
+  static SelectKOptions Defaults() { return SelectKOptions(); }
+
+  static SelectKOptions TopKDefault(int64_t k, std::vector<std::string> key_names = {}) {
+    std::vector<SortKey> keys;
+    for (const auto& name : key_names) {
+      keys.emplace_back(SortKey(name, SortOrder::Descending));
+    }
+    if (key_names.empty()) {
+      keys.emplace_back(SortKey("not-used", SortOrder::Descending));
+    }
+    return SelectKOptions{k, keys};
+  }
+  static SelectKOptions BottomKDefault(int64_t k,
+                                       std::vector<std::string> key_names = {}) {
+    std::vector<SortKey> keys;
+    for (const auto& name : key_names) {
+      keys.emplace_back(SortKey(name, SortOrder::Ascending));
+    }
+    if (key_names.empty()) {
+      keys.emplace_back(SortKey("not-used", SortOrder::Ascending));
+    }
+    return SelectKOptions{k, keys};
+  }
+
+  /// The number of `k` elements to keep.
+  int64_t k;
+  /// Column key(s) to order by and how to order by these sort keys.
+  std::vector<SortKey> sort_keys;
+};
+
+/// \brief Rank options
+class ARROW_EXPORT RankOptions : public FunctionOptions {
+ public:
+  /// Configure how ties between equal values are handled
+  enum Tiebreaker {
+    /// Ties get the smallest possible rank in sorted order.
+    Min,
+    /// Ties get the largest possible rank in sorted order.
+    Max,
+    /// Ranks are assigned in order of when ties appear in the input.
+    /// This ensures the ranks are a stable permutation of the input.
+    First,
+    /// The ranks span a dense [1, M] interval where M is the number
+    /// of distinct values in the input.
+    Dense
+  };
+
+  explicit RankOptions(std::vector<SortKey> sort_keys = {},
+                       NullPlacement null_placement = NullPlacement::AtEnd,
+                       Tiebreaker tiebreaker = RankOptions::First);
+  /// Convenience constructor for array inputs
+  explicit RankOptions(SortOrder order,
+                       NullPlacement null_placement = NullPlacement::AtEnd,
+                       Tiebreaker tiebreaker = RankOptions::First)
+      : RankOptions({SortKey("", order)}, null_placement, tiebreaker) {}
+
+  static constexpr char const kTypeName[] = "RankOptions";
+  static RankOptions Defaults() { return RankOptions(); }
+
+  /// Column key(s) to order by and how to order by these sort keys.
+  std::vector<SortKey> sort_keys;
+  /// Whether nulls and NaNs are placed at the start or at the end
+  NullPlacement null_placement;
+  /// Tiebreaker for dealing with equal values in ranks
+  Tiebreaker tiebreaker;
+};
+
+/// \brief Partitioning options for NthToIndices
+class ARROW_EXPORT PartitionNthOptions : public FunctionOptions {
+ public:
+  explicit PartitionNthOptions(int64_t pivot,
+                               NullPlacement null_placement = NullPlacement::AtEnd);
+  PartitionNthOptions() : PartitionNthOptions(0) {}
+  static constexpr char const kTypeName[] = "PartitionNthOptions";
+
+  /// The index into the equivalent sorted array of the partition pivot element.
+  int64_t pivot;
+  /// Whether nulls and NaNs are partitioned at the start or at the end
+  NullPlacement null_placement;
+};
+
+/// \brief Options for cumulative functions
+/// \note Also aliased as CumulativeSumOptions for backward compatibility
+class ARROW_EXPORT CumulativeOptions : public FunctionOptions {
+ public:
+  explicit CumulativeOptions(bool skip_nulls = false);
+  explicit CumulativeOptions(double start, bool skip_nulls = false);
+  explicit CumulativeOptions(std::shared_ptr<Scalar> start, bool skip_nulls = false);
+  static constexpr char const kTypeName[] = "CumulativeOptions";
+  static CumulativeOptions Defaults() { return CumulativeOptions(); }
+
+  /// Optional starting value for cumulative operation computation, default depends on the
+  /// operation and input type.
+  /// - sum: 0
+  /// - prod: 1
+  /// - min: maximum of the input type
+  /// - max: minimum of the input type
+  /// - mean: start is ignored because it has no meaning for mean
+  std::optional<std::shared_ptr<Scalar>> start;
+
+  /// If true, nulls in the input are ignored and produce a corresponding null output.
+  /// When false, the first null encountered is propagated through the remaining output.
+  bool skip_nulls = false;
+};
+using CumulativeSumOptions = CumulativeOptions;  // For backward compatibility
+
+/// \brief Options for pairwise functions
+class ARROW_EXPORT PairwiseOptions : public FunctionOptions {
+ public:
+  explicit PairwiseOptions(int64_t periods = 1);
+  static constexpr char const kTypeName[] = "PairwiseOptions";
+  static PairwiseOptions Defaults() { return PairwiseOptions(); }
+
+  /// Periods to shift for applying the binary operation, accepts negative values.
+  int64_t periods = 1;
+};
+
+/// @}
+
+/// \brief Filter with a boolean selection filter
+///
+/// The output will be populated with values from the input at positions
+/// where the selection filter is not 0. Nulls in the filter will be handled
+/// based on options.null_selection_behavior.
+///
+/// For example given values = ["a", "b", "c", null, "e", "f"] and
+/// filter = [0, 1, 1, 0, null, 1], the output will be
+/// (null_selection_behavior == DROP)      = ["b", "c", "f"]
+/// (null_selection_behavior == EMIT_NULL) = ["b", "c", null, "f"]
+///
+/// \param[in] values array to filter
+/// \param[in] filter indicates which values should be filtered out
+/// \param[in] options configures null_selection_behavior
+/// \param[in] ctx the function execution context, optional
+/// \return the resulting datum
+ARROW_EXPORT
+Result<Datum> Filter(const Datum& values, const Datum& filter,
+                     const FilterOptions& options = FilterOptions::Defaults(),
+                     ExecContext* ctx = NULLPTR);
+
+namespace internal {
+
+// These internal functions are implemented in kernels/vector_selection.cc
+
+/// \brief Return the number of selected indices in the boolean filter
+///
+/// \param filter a plain or run-end encoded boolean array with or without nulls
+/// \param null_selection how to handle nulls in the filter
+ARROW_EXPORT
+int64_t GetFilterOutputSize(const ArraySpan& filter,
+                            FilterOptions::NullSelectionBehavior null_selection);
+
+/// \brief Compute uint64 selection indices for use with Take given a boolean
+/// filter
+///
+/// \param filter a plain or run-end encoded boolean array with or without nulls
+/// \param null_selection how to handle nulls in the filter
+ARROW_EXPORT
+Result<std::shared_ptr<ArrayData>> GetTakeIndices(
+    const ArraySpan& filter, FilterOptions::NullSelectionBehavior null_selection,
+    MemoryPool* memory_pool = default_memory_pool());
+
+}  // namespace internal
+
+/// \brief ReplaceWithMask replaces each value in the array corresponding
+/// to a true value in the mask with the next element from `replacements`.
+///
+/// \param[in] values Array input to replace
+/// \param[in] mask Array or Scalar of Boolean mask values
+/// \param[in] replacements The replacement values to draw from. There must
+/// be as many replacement values as true values in the mask.
+/// \param[in] ctx the function execution context, optional
+///
+/// \return the resulting datum
+///
+/// \since 5.0.0
+/// \note API not yet finalized
+ARROW_EXPORT
+Result<Datum> ReplaceWithMask(const Datum& values, const Datum& mask,
+                              const Datum& replacements, ExecContext* ctx = NULLPTR);
+
+/// \brief FillNullForward fill null values in forward direction
+///
+/// The output array will be of the same type as the input values
+/// array, with replaced null values in forward direction.
+///
+/// For example given values = ["a", "b", "c", null, null, "f"],
+/// the output will be = ["a", "b", "c", "c", "c", "f"]
+///
+/// \param[in] values datum from which to take
+/// \param[in] ctx the function execution context, optional
+/// \return the resulting datum
+ARROW_EXPORT
+Result<Datum> FillNullForward(const Datum& values, ExecContext* ctx = NULLPTR);
+
+/// \brief FillNullBackward fill null values in backward direction
+///
+/// The output array will be of the same type as the input values
+/// array, with replaced null values in backward direction.
+///
+/// For example given values = ["a", "b", "c", null, null, "f"],
+/// the output will be = ["a", "b", "c", "f", "f", "f"]
+///
+/// \param[in] values datum from which to take
+/// \param[in] ctx the function execution context, optional
+/// \return the resulting datum
+ARROW_EXPORT
+Result<Datum> FillNullBackward(const Datum& values, ExecContext* ctx = NULLPTR);
+
+/// \brief Take from an array of values at indices in another array
+///
+/// The output array will be of the same type as the input values
+/// array, with elements taken from the values array at the given
+/// indices. If an index is null then the taken element will be null.
+///
+/// For example given values = ["a", "b", "c", null, "e", "f"] and
+/// indices = [2, 1, null, 3], the output will be
+/// = [values[2], values[1], null, values[3]]
+/// = ["c", "b", null, null]
+///
+/// \param[in] values datum from which to take
+/// \param[in] indices which values to take
+/// \param[in] options options
+/// \param[in] ctx the function execution context, optional
+/// \return the resulting datum
+ARROW_EXPORT
+Result<Datum> Take(const Datum& values, const Datum& indices,
+                   const TakeOptions& options = TakeOptions::Defaults(),
+                   ExecContext* ctx = NULLPTR);
+
+/// \brief Take with Array inputs and output
+ARROW_EXPORT
+Result<std::shared_ptr<Array>> Take(const Array& values, const Array& indices,
+                                    const TakeOptions& options = TakeOptions::Defaults(),
+                                    ExecContext* ctx = NULLPTR);
+
+/// \brief Drop Null from an array of values
+///
+/// The output array will be of the same type as the input values
+/// array, with elements taken from the values array without nulls.
+///
+/// For example given values = ["a", "b", "c", null, "e", "f"],
+/// the output will be = ["a", "b", "c", "e", "f"]
+///
+/// \param[in] values datum from which to take
+/// \param[in] ctx the function execution context, optional
+/// \return the resulting datum
+ARROW_EXPORT
+Result<Datum> DropNull(const Datum& values, ExecContext* ctx = NULLPTR);
+
+/// \brief DropNull with Array inputs and output
+ARROW_EXPORT
+Result<std::shared_ptr<Array>> DropNull(const Array& values, ExecContext* ctx = NULLPTR);
+
+/// \brief Return indices that partition an array around n-th sorted element.
+///
+/// Find index of n-th(0 based) smallest value and perform indirect
+/// partition of an array around that element. Output indices[0 ~ n-1]
+/// holds values no greater than n-th element, and indices[n+1 ~ end]
+/// holds values no less than n-th element. Elements in each partition
+/// is not sorted. Nulls will be partitioned to the end of the output.
+/// Output is not guaranteed to be stable.
+///
+/// \param[in] values array to be partitioned
+/// \param[in] n pivot array around sorted n-th element
+/// \param[in] ctx the function execution context, optional
+/// \return offsets indices that would partition an array
+ARROW_EXPORT
+Result<std::shared_ptr<Array>> NthToIndices(const Array& values, int64_t n,
+                                            ExecContext* ctx = NULLPTR);
+
+/// \brief Return indices that partition an array around n-th sorted element.
+///
+/// This overload takes a PartitionNthOptions specifying the pivot index
+/// and the null handling.
+///
+/// \param[in] values array to be partitioned
+/// \param[in] options options including pivot index and null handling
+/// \param[in] ctx the function execution context, optional
+/// \return offsets indices that would partition an array
+ARROW_EXPORT
+Result<std::shared_ptr<Array>> NthToIndices(const Array& values,
+                                            const PartitionNthOptions& options,
+                                            ExecContext* ctx = NULLPTR);
+
+/// \brief Return indices that would select the first `k` elements.
+///
+/// Perform an indirect sort of the datum, keeping only the first `k` elements. The output
+/// array will contain indices such that the item indicated by the k-th index will be in
+/// the position it would be if the datum were sorted by `options.sort_keys`. However,
+/// indices of null values will not be part of the output. The sort is not guaranteed to
+/// be stable.
+///
+/// \param[in] datum datum to be partitioned
+/// \param[in] options options
+/// \param[in] ctx the function execution context, optional
+/// \return a datum with the same schema as the input
+ARROW_EXPORT
+Result<std::shared_ptr<Array>> SelectKUnstable(const Datum& datum,
+                                               const SelectKOptions& options,
+                                               ExecContext* ctx = NULLPTR);
+
+/// \brief Return the indices that would sort an array.
+///
+/// Perform an indirect sort of array. The output array will contain
+/// indices that would sort an array, which would be the same length
+/// as input. Nulls will be stably partitioned to the end of the output
+/// regardless of order.
+///
+/// For example given array = [null, 1, 3.3, null, 2, 5.3] and order
+/// = SortOrder::DESCENDING, the output will be [5, 2, 4, 1, 0,
+/// 3].
+///
+/// \param[in] array array to sort
+/// \param[in] order ascending or descending
+/// \param[in] ctx the function execution context, optional
+/// \return offsets indices that would sort an array
+ARROW_EXPORT
+Result<std::shared_ptr<Array>> SortIndices(const Array& array,
+                                           SortOrder order = SortOrder::Ascending,
+                                           ExecContext* ctx = NULLPTR);
+
+/// \brief Return the indices that would sort an array.
+///
+/// This overload takes a ArraySortOptions specifying the sort order
+/// and the null handling.
+///
+/// \param[in] array array to sort
+/// \param[in] options options including sort order and null handling
+/// \param[in] ctx the function execution context, optional
+/// \return offsets indices that would sort an array
+ARROW_EXPORT
+Result<std::shared_ptr<Array>> SortIndices(const Array& array,
+                                           const ArraySortOptions& options,
+                                           ExecContext* ctx = NULLPTR);
+
+/// \brief Return the indices that would sort a chunked array.
+///
+/// Perform an indirect sort of chunked array. The output array will
+/// contain indices that would sort a chunked array, which would be
+/// the same length as input. Nulls will be stably partitioned to the
+/// end of the output regardless of order.
+///
+/// For example given chunked_array = [[null, 1], [3.3], [null, 2,
+/// 5.3]] and order = SortOrder::DESCENDING, the output will be [5, 2,
+/// 4, 1, 0, 3].
+///
+/// \param[in] chunked_array chunked array to sort
+/// \param[in] order ascending or descending
+/// \param[in] ctx the function execution context, optional
+/// \return offsets indices that would sort an array
+ARROW_EXPORT
+Result<std::shared_ptr<Array>> SortIndices(const ChunkedArray& chunked_array,
+                                           SortOrder order = SortOrder::Ascending,
+                                           ExecContext* ctx = NULLPTR);
+
+/// \brief Return the indices that would sort a chunked array.
+///
+/// This overload takes a ArraySortOptions specifying the sort order
+/// and the null handling.
+///
+/// \param[in] chunked_array chunked array to sort
+/// \param[in] options options including sort order and null handling
+/// \param[in] ctx the function execution context, optional
+/// \return offsets indices that would sort an array
+ARROW_EXPORT
+Result<std::shared_ptr<Array>> SortIndices(const ChunkedArray& chunked_array,
+                                           const ArraySortOptions& options,
+                                           ExecContext* ctx = NULLPTR);
+
+/// \brief Return the indices that would sort an input in the
+/// specified order. Input is one of array, chunked array record batch
+/// or table.
+///
+/// Perform an indirect sort of input. The output array will contain
+/// indices that would sort an input, which would be the same length
+/// as input. Nulls will be stably partitioned to the start or to the end
+/// of the output depending on SortOrder::null_placement.
+///
+/// For example given input (table) = {
+/// "column1": [[null,   1], [   3, null, 2, 1]],
+/// "column2": [[   5], [3,   null, null, 5, 5]],
+/// } and options = {
+/// {"column1", SortOrder::Ascending},
+/// {"column2", SortOrder::Descending},
+/// }, the output will be [5, 1, 4, 2, 0, 3].
+///
+/// \param[in] datum array, chunked array, record batch or table to sort
+/// \param[in] options options
+/// \param[in] ctx the function execution context, optional
+/// \return offsets indices that would sort a table
+ARROW_EXPORT
+Result<std::shared_ptr<Array>> SortIndices(const Datum& datum, const SortOptions& options,
+                                           ExecContext* ctx = NULLPTR);
+
+/// \brief Compute unique elements from an array-like object
+///
+/// Note if a null occurs in the input it will NOT be included in the output.
+///
+/// \param[in] datum array-like input
+/// \param[in] ctx the function execution context, optional
+/// \return result as Array
+///
+/// \since 1.0.0
+/// \note API not yet finalized
+ARROW_EXPORT
+Result<std::shared_ptr<Array>> Unique(const Datum& datum, ExecContext* ctx = NULLPTR);
+
+// Constants for accessing the output of ValueCounts
+ARROW_EXPORT extern const char kValuesFieldName[];
+ARROW_EXPORT extern const char kCountsFieldName[];
+ARROW_EXPORT extern const int32_t kValuesFieldIndex;
+ARROW_EXPORT extern const int32_t kCountsFieldIndex;
+
+/// \brief Return counts of unique elements from an array-like object.
+///
+/// Note that the counts do not include counts for nulls in the array.  These can be
+/// obtained separately from metadata.
+///
+/// For floating point arrays there is no attempt to normalize -0.0, 0.0 and NaN values
+/// which can lead to unexpected results if the input Array has these values.
+///
+/// \param[in] value array-like input
+/// \param[in] ctx the function execution context, optional
+/// \return counts An array of  <input type "Values", int64_t "Counts"> structs.
+///
+/// \since 1.0.0
+/// \note API not yet finalized
+ARROW_EXPORT
+Result<std::shared_ptr<StructArray>> ValueCounts(const Datum& value,
+                                                 ExecContext* ctx = NULLPTR);
+
+/// \brief Dictionary-encode values in an array-like object
+///
+/// Any nulls encountered in the dictionary will be handled according to the
+/// specified null encoding behavior.
+///
+/// For example, given values ["a", "b", null, "a", null] the output will be
+/// (null_encoding == ENCODE) Indices: [0, 1, 2, 0, 2] / Dict: ["a", "b", null]
+/// (null_encoding == MASK)   Indices: [0, 1, null, 0, null] / Dict: ["a", "b"]
+///
+/// If the input is already dictionary encoded this function is a no-op unless
+/// it needs to modify the null_encoding (TODO)
+///
+/// \param[in] data array-like input
+/// \param[in] ctx the function execution context, optional
+/// \param[in] options configures null encoding behavior
+/// \return result with same shape and type as input
+///
+/// \since 1.0.0
+/// \note API not yet finalized
+ARROW_EXPORT
+Result<Datum> DictionaryEncode(
+    const Datum& data,
+    const DictionaryEncodeOptions& options = DictionaryEncodeOptions::Defaults(),
+    ExecContext* ctx = NULLPTR);
+
+/// \brief Run-end-encode values in an array-like object
+///
+/// The returned run-end encoded type uses the same value type of the input and
+/// run-end type defined in the options.
+///
+/// \param[in] value array-like input
+/// \param[in] options configures encoding behavior
+/// \param[in] ctx the function execution context, optional
+/// \return result with same shape but run-end encoded
+///
+/// \since 12.0.0
+/// \note API not yet finalized
+ARROW_EXPORT
+Result<Datum> RunEndEncode(
+    const Datum& value,
+    const RunEndEncodeOptions& options = RunEndEncodeOptions::Defaults(),
+    ExecContext* ctx = NULLPTR);
+
+/// \brief Decode a Run-End Encoded array to a plain array
+///
+/// The output data type is the same as the values array type of run-end encoded
+/// input.
+///
+/// \param[in] value run-end-encoded input
+/// \param[in] ctx the function execution context, optional
+/// \return plain array resulting from decoding the run-end encoded input
+///
+/// \since 12.0.0
+/// \note API not yet finalized
+ARROW_EXPORT
+Result<Datum> RunEndDecode(const Datum& value, ExecContext* ctx = NULLPTR);
+
+/// \brief Compute the cumulative sum of an array-like object
+///
+/// \param[in] values array-like input
+/// \param[in] options configures cumulative sum behavior
+/// \param[in] check_overflow whether to check for overflow, if true, return Invalid
+/// status on overflow, otherwise wrap around on overflow
+/// \param[in] ctx the function execution context, optional
+ARROW_EXPORT
+Result<Datum> CumulativeSum(
+    const Datum& values, const CumulativeOptions& options = CumulativeOptions::Defaults(),
+    bool check_overflow = false, ExecContext* ctx = NULLPTR);
+
+/// \brief Compute the cumulative product of an array-like object
+///
+/// \param[in] values array-like input
+/// \param[in] options configures cumulative prod behavior
+/// \param[in] check_overflow whether to check for overflow, if true, return Invalid
+/// status on overflow, otherwise wrap around on overflow
+/// \param[in] ctx the function execution context, optional
+ARROW_EXPORT
+Result<Datum> CumulativeProd(
+    const Datum& values, const CumulativeOptions& options = CumulativeOptions::Defaults(),
+    bool check_overflow = false, ExecContext* ctx = NULLPTR);
+
+/// \brief Compute the cumulative max of an array-like object
+///
+/// \param[in] values array-like input
+/// \param[in] options configures cumulative max behavior
+/// \param[in] ctx the function execution context, optional
+ARROW_EXPORT
+Result<Datum> CumulativeMax(
+    const Datum& values, const CumulativeOptions& options = CumulativeOptions::Defaults(),
+    ExecContext* ctx = NULLPTR);
+
+/// \brief Compute the cumulative min of an array-like object
+///
+/// \param[in] values array-like input
+/// \param[in] options configures cumulative min behavior
+/// \param[in] ctx the function execution context, optional
+ARROW_EXPORT
+Result<Datum> CumulativeMin(
+    const Datum& values, const CumulativeOptions& options = CumulativeOptions::Defaults(),
+    ExecContext* ctx = NULLPTR);
+
+/// \brief Compute the cumulative mean of an array-like object
+///
+/// \param[in] values array-like input
+/// \param[in] options configures cumulative mean behavior, `start` is ignored
+/// \param[in] ctx the function execution context, optional
+ARROW_EXPORT
+Result<Datum> CumulativeMean(
+    const Datum& values, const CumulativeOptions& options = CumulativeOptions::Defaults(),
+    ExecContext* ctx = NULLPTR);
+
+/// \brief Return the first order difference of an array.
+///
+/// Computes the first order difference of an array, i.e.
+///   output[i] = input[i] - input[i - p]  if i >= p
+///   output[i] = null                     otherwise
+/// where p is the period. For example, with p = 1,
+///   Diff([1, 4, 9, 10, 15]) = [null, 3, 5, 1, 5].
+/// With p = 2,
+///   Diff([1, 4, 9, 10, 15]) = [null, null, 8, 6, 6]
+/// p can also be negative, in which case the diff is computed in
+/// the opposite direction.
+/// \param[in] array array input
+/// \param[in] options options, specifying overflow behavior and period
+/// \param[in] check_overflow whether to return error on overflow
+/// \param[in] ctx the function execution context, optional
+/// \return result as array
+ARROW_EXPORT
+Result<std::shared_ptr<Array>> PairwiseDiff(const Array& array,
+                                            const PairwiseOptions& options,
+                                            bool check_overflow = false,
+                                            ExecContext* ctx = NULLPTR);
+
+}  // namespace compute
+}  // namespace arrow

env-llmeval/lib/python3.10/site-packages/pyarrow/include/arrow/compute/cast.h

@@ -0,0 +1,134 @@
+// 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 <memory>
+#include <string>
+#include <vector>
+
+#include "arrow/compute/function.h"
+#include "arrow/compute/function_options.h"
+#include "arrow/compute/type_fwd.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 {
+
+class Array;
+
+namespace compute {
+
+class ExecContext;
+
+/// \addtogroup compute-concrete-options
+/// @{
+
+class ARROW_EXPORT CastOptions : public FunctionOptions {
+ public:
+  explicit CastOptions(bool safe = true);
+
+  static constexpr char const kTypeName[] = "CastOptions";
+  static CastOptions Safe(TypeHolder to_type = {}) {
+    CastOptions safe(true);
+    safe.to_type = std::move(to_type);
+    return safe;
+  }
+
+  static CastOptions Unsafe(TypeHolder to_type = {}) {
+    CastOptions unsafe(false);
+    unsafe.to_type = std::move(to_type);
+    return unsafe;
+  }
+
+  // Type being casted to. May be passed separate to eager function
+  // compute::Cast
+  TypeHolder to_type;
+
+  bool allow_int_overflow;
+  bool allow_time_truncate;
+  bool allow_time_overflow;
+  bool allow_decimal_truncate;
+  bool allow_float_truncate;
+  // Indicate if conversions from Binary/FixedSizeBinary to string must
+  // validate the utf8 payload.
+  bool allow_invalid_utf8;
+
+  /// true if the safety options all match CastOptions::Safe
+  ///
+  /// Note, if this returns false it does not mean is_unsafe will return true
+  bool is_safe() const;
+  /// true if the safety options all match CastOptions::Unsafe
+  ///
+  /// Note, if this returns false it does not mean is_safe will return true
+  bool is_unsafe() const;
+};
+
+/// @}
+
+/// \brief Return true if a cast function is defined
+ARROW_EXPORT
+bool CanCast(const DataType& from_type, const DataType& to_type);
+
+// ----------------------------------------------------------------------
+// Convenience invocation APIs for a number of kernels
+
+/// \brief Cast from one array type to another
+/// \param[in] value array to cast
+/// \param[in] to_type type to cast to
+/// \param[in] options casting options
+/// \param[in] ctx the function execution context, optional
+/// \return the resulting array
+///
+/// \since 1.0.0
+/// \note API not yet finalized
+ARROW_EXPORT
+Result<std::shared_ptr<Array>> Cast(const Array& value, const TypeHolder& to_type,
+                                    const CastOptions& options = CastOptions::Safe(),
+                                    ExecContext* ctx = NULLPTR);
+
+/// \brief Cast from one array type to another
+/// \param[in] value array to cast
+/// \param[in] options casting options. The "to_type" field must be populated
+/// \param[in] ctx the function execution context, optional
+/// \return the resulting array
+///
+/// \since 1.0.0
+/// \note API not yet finalized
+ARROW_EXPORT
+Result<Datum> Cast(const Datum& value, const CastOptions& options,
+                   ExecContext* ctx = NULLPTR);
+
+/// \brief Cast from one value to another
+/// \param[in] value datum to cast
+/// \param[in] to_type type to cast to
+/// \param[in] options casting options
+/// \param[in] ctx the function execution context, optional
+/// \return the resulting datum
+///
+/// \since 1.0.0
+/// \note API not yet finalized
+ARROW_EXPORT
+Result<Datum> Cast(const Datum& value, const TypeHolder& to_type,
+                   const CastOptions& options = CastOptions::Safe(),
+                   ExecContext* ctx = NULLPTR);
+
+}  // namespace compute
+}  // namespace arrow

env-llmeval/lib/python3.10/site-packages/pyarrow/include/arrow/compute/exec.h

@@ -0,0 +1,489 @@
+// 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.
+
+// NOTE: API is EXPERIMENTAL and will change without going through a
+// deprecation cycle
+
+#pragma once
+
+#include <atomic>
+#include <cstdint>
+#include <limits>
+#include <memory>
+#include <optional>
+#include <string>
+#include <utility>
+#include <vector>
+
+#include "arrow/array/data.h"
+#include "arrow/compute/expression.h"
+#include "arrow/compute/type_fwd.h"
+#include "arrow/datum.h"
+#include "arrow/result.h"
+#include "arrow/type_fwd.h"
+#include "arrow/util/macros.h"
+#include "arrow/util/type_fwd.h"
+#include "arrow/util/visibility.h"
+
+namespace arrow {
+namespace compute {
+
+// It seems like 64K might be a good default chunksize to use for execution
+// based on the experience of other query processing systems. The current
+// default is not to chunk contiguous arrays, though, but this may change in
+// the future once parallel execution is implemented
+static constexpr int64_t kDefaultExecChunksize = UINT16_MAX;
+
+/// \brief Context for expression-global variables and options used by
+/// function evaluation
+class ARROW_EXPORT ExecContext {
+ public:
+  // If no function registry passed, the default is used.
+  explicit ExecContext(MemoryPool* pool = default_memory_pool(),
+                       ::arrow::internal::Executor* executor = NULLPTR,
+                       FunctionRegistry* func_registry = NULLPTR);
+
+  /// \brief The MemoryPool used for allocations, default is
+  /// default_memory_pool().
+  MemoryPool* memory_pool() const { return pool_; }
+
+  const ::arrow::internal::CpuInfo* cpu_info() const;
+
+  /// \brief An Executor which may be used to parallelize execution.
+  ::arrow::internal::Executor* executor() const { return executor_; }
+
+  /// \brief The FunctionRegistry for looking up functions by name and
+  /// selecting kernels for execution. Defaults to the library-global function
+  /// registry provided by GetFunctionRegistry.
+  FunctionRegistry* func_registry() const { return func_registry_; }
+
+  // \brief Set maximum length unit of work for kernel execution. Larger
+  // contiguous array inputs will be split into smaller chunks, and, if
+  // possible and enabled, processed in parallel. The default chunksize is
+  // INT64_MAX, so contiguous arrays are not split.
+  void set_exec_chunksize(int64_t chunksize) { exec_chunksize_ = chunksize; }
+
+  // \brief Maximum length for ExecBatch data chunks processed by
+  // kernels. Contiguous array inputs with longer length will be split into
+  // smaller chunks.
+  int64_t exec_chunksize() const { return exec_chunksize_; }
+
+  /// \brief Set whether to use multiple threads for function execution. This
+  /// is not yet used.
+  void set_use_threads(bool use_threads = true) { use_threads_ = use_threads; }
+
+  /// \brief If true, then utilize multiple threads where relevant for function
+  /// execution. This is not yet used.
+  bool use_threads() const { return use_threads_; }
+
+  // Set the preallocation strategy for kernel execution as it relates to
+  // chunked execution. For chunked execution, whether via ChunkedArray inputs
+  // or splitting larger Array arguments into smaller pieces, contiguous
+  // allocation (if permitted by the kernel) will allocate one large array to
+  // write output into yielding it to the caller at the end. If this option is
+  // set to off, then preallocations will be performed independently for each
+  // chunk of execution
+  //
+  // TODO: At some point we might want the limit the size of contiguous
+  // preallocations. For example, even if the exec_chunksize is 64K or less, we
+  // might limit contiguous allocations to 1M records, say.
+  void set_preallocate_contiguous(bool preallocate) {
+    preallocate_contiguous_ = preallocate;
+  }
+
+  /// \brief If contiguous preallocations should be used when doing chunked
+  /// execution as specified by exec_chunksize(). See
+  /// set_preallocate_contiguous() for more information.
+  bool preallocate_contiguous() const { return preallocate_contiguous_; }
+
+ private:
+  MemoryPool* pool_;
+  ::arrow::internal::Executor* executor_;
+  FunctionRegistry* func_registry_;
+  int64_t exec_chunksize_ = std::numeric_limits<int64_t>::max();
+  bool preallocate_contiguous_ = true;
+  bool use_threads_ = true;
+};
+
+// TODO: Consider standardizing on uint16 selection vectors and only use them
+// when we can ensure that each value is 64K length or smaller
+
+/// \brief Container for an array of value selection indices that were
+/// materialized from a filter.
+///
+/// Columnar query engines (see e.g. [1]) have found that rather than
+/// materializing filtered data, the filter can instead be converted to an
+/// array of the "on" indices and then "fusing" these indices in operator
+/// implementations. This is especially relevant for aggregations but also
+/// applies to scalar operations.
+///
+/// We are not yet using this so this is mostly a placeholder for now.
+///
+/// [1]: http://cidrdb.org/cidr2005/papers/P19.pdf
+class ARROW_EXPORT SelectionVector {
+ public:
+  explicit SelectionVector(std::shared_ptr<ArrayData> data);
+
+  explicit SelectionVector(const Array& arr);
+
+  /// \brief Create SelectionVector from boolean mask
+  static Result<std::shared_ptr<SelectionVector>> FromMask(const BooleanArray& arr);
+
+  const int32_t* indices() const { return indices_; }
+  int32_t length() const;
+
+ private:
+  std::shared_ptr<ArrayData> data_;
+  const int32_t* indices_;
+};
+
+/// An index to represent that a batch does not belong to an ordered stream
+constexpr int64_t kUnsequencedIndex = -1;
+
+/// \brief A unit of work for kernel execution. It contains a collection of
+/// Array and Scalar values and an optional SelectionVector indicating that
+/// there is an unmaterialized filter that either must be materialized, or (if
+/// the kernel supports it) pushed down into the kernel implementation.
+///
+/// ExecBatch is semantically similar to RecordBatch in that in a SQL context
+/// it represents a collection of records, but constant "columns" are
+/// represented by Scalar values rather than having to be converted into arrays
+/// with repeated values.
+///
+/// TODO: Datum uses arrow/util/variant.h which may be a bit heavier-weight
+/// than is desirable for this class. Microbenchmarks would help determine for
+/// sure. See ARROW-8928.
+
+/// \addtogroup acero-internals
+/// @{
+
+struct ARROW_EXPORT ExecBatch {
+  ExecBatch() = default;
+  ExecBatch(std::vector<Datum> values, int64_t length)
+      : values(std::move(values)), length(length) {}
+
+  explicit ExecBatch(const RecordBatch& batch);
+
+  /// \brief Infer the ExecBatch length from values.
+  static Result<int64_t> InferLength(const std::vector<Datum>& values);
+
+  /// Creates an ExecBatch with length-validation.
+  ///
+  /// If any value is given, then all values must have a common length. If the given
+  /// length is negative, then the length of the ExecBatch is set to this common length,
+  /// or to 1 if no values are given. Otherwise, the given length must equal the common
+  /// length, if any value is given.
+  static Result<ExecBatch> Make(std::vector<Datum> values, int64_t length = -1);
+
+  Result<std::shared_ptr<RecordBatch>> ToRecordBatch(
+      std::shared_ptr<Schema> schema, MemoryPool* pool = default_memory_pool()) const;
+
+  /// The values representing positional arguments to be passed to a kernel's
+  /// exec function for processing.
+  std::vector<Datum> values;
+
+  /// A deferred filter represented as an array of indices into the values.
+  ///
+  /// For example, the filter [true, true, false, true] would be represented as
+  /// the selection vector [0, 1, 3]. When the selection vector is set,
+  /// ExecBatch::length is equal to the length of this array.
+  std::shared_ptr<SelectionVector> selection_vector;
+
+  /// A predicate Expression guaranteed to evaluate to true for all rows in this batch.
+  Expression guarantee = literal(true);
+
+  /// The semantic length of the ExecBatch. When the values are all scalars,
+  /// the length should be set to 1 for non-aggregate kernels, otherwise the
+  /// length is taken from the array values, except when there is a selection
+  /// vector. When there is a selection vector set, the length of the batch is
+  /// the length of the selection. Aggregate kernels can have an ExecBatch
+  /// formed by projecting just the partition columns from a batch in which
+  /// case, it would have scalar rows with length greater than 1.
+  ///
+  /// If the array values are of length 0 then the length is 0 regardless of
+  /// whether any values are Scalar.
+  int64_t length = 0;
+
+  /// \brief index of this batch in a sorted stream of batches
+  ///
+  /// This index must be strictly monotonic starting at 0 without gaps or
+  /// it can be set to kUnsequencedIndex if there is no meaningful order
+  int64_t index = kUnsequencedIndex;
+
+  /// \brief The sum of bytes in each buffer referenced by the batch
+  ///
+  /// Note: Scalars are not counted
+  /// Note: Some values may referenced only part of a buffer, for
+  ///       example, an array with an offset.  The actual data
+  ///       visible to this batch will be smaller than the total
+  ///       buffer size in this case.
+  int64_t TotalBufferSize() const;
+
+  /// \brief Return the value at the i-th index
+  template <typename index_type>
+  inline const Datum& operator[](index_type i) const {
+    return values[i];
+  }
+
+  bool Equals(const ExecBatch& other) const;
+
+  /// \brief A convenience for the number of values / arguments.
+  int num_values() const { return static_cast<int>(values.size()); }
+
+  ExecBatch Slice(int64_t offset, int64_t length) const;
+
+  Result<ExecBatch> SelectValues(const std::vector<int>& ids) const;
+
+  /// \brief A convenience for returning the types from the batch.
+  std::vector<TypeHolder> GetTypes() const {
+    std::vector<TypeHolder> result;
+    for (const auto& value : this->values) {
+      result.emplace_back(value.type());
+    }
+    return result;
+  }
+
+  std::string ToString() const;
+};
+
+inline bool operator==(const ExecBatch& l, const ExecBatch& r) { return l.Equals(r); }
+inline bool operator!=(const ExecBatch& l, const ExecBatch& r) { return !l.Equals(r); }
+
+ARROW_EXPORT void PrintTo(const ExecBatch&, std::ostream*);
+
+/// @}
+
+/// \defgroup compute-internals Utilities for calling functions, useful for those
+/// extending the function registry
+///
+/// @{
+
+struct ExecValue {
+  ArraySpan array = {};
+  const Scalar* scalar = NULLPTR;
+
+  ExecValue(Scalar* scalar)  // NOLINT implicit conversion
+      : scalar(scalar) {}
+
+  ExecValue(ArraySpan array)  // NOLINT implicit conversion
+      : array(std::move(array)) {}
+
+  ExecValue(const ArrayData& array) {  // NOLINT implicit conversion
+    this->array.SetMembers(array);
+  }
+
+  ExecValue() = default;
+  ExecValue(const ExecValue& other) = default;
+  ExecValue& operator=(const ExecValue& other) = default;
+  ExecValue(ExecValue&& other) = default;
+  ExecValue& operator=(ExecValue&& other) = default;
+
+  int64_t length() const { return this->is_array() ? this->array.length : 1; }
+
+  bool is_array() const { return this->scalar == NULLPTR; }
+  bool is_scalar() const { return !this->is_array(); }
+
+  void SetArray(const ArrayData& array) {
+    this->array.SetMembers(array);
+    this->scalar = NULLPTR;
+  }
+
+  void SetScalar(const Scalar* scalar) { this->scalar = scalar; }
+
+  template <typename ExactType>
+  const ExactType& scalar_as() const {
+    return ::arrow::internal::checked_cast<const ExactType&>(*this->scalar);
+  }
+
+  /// XXX: here temporarily for compatibility with datum, see
+  /// e.g. MakeStructExec in scalar_nested.cc
+  int64_t null_count() const {
+    if (this->is_array()) {
+      return this->array.GetNullCount();
+    } else {
+      return this->scalar->is_valid ? 0 : 1;
+    }
+  }
+
+  const DataType* type() const {
+    if (this->is_array()) {
+      return array.type;
+    } else {
+      return scalar->type.get();
+    }
+  }
+};
+
+struct ARROW_EXPORT ExecResult {
+  // The default value of the variant is ArraySpan
+  std::variant<ArraySpan, std::shared_ptr<ArrayData>> value;
+
+  int64_t length() const {
+    if (this->is_array_span()) {
+      return this->array_span()->length;
+    } else {
+      return this->array_data()->length;
+    }
+  }
+
+  const DataType* type() const {
+    if (this->is_array_span()) {
+      return this->array_span()->type;
+    } else {
+      return this->array_data()->type.get();
+    }
+  }
+
+  const ArraySpan* array_span() const { return &std::get<ArraySpan>(this->value); }
+  ArraySpan* array_span_mutable() { return &std::get<ArraySpan>(this->value); }
+
+  bool is_array_span() const { return this->value.index() == 0; }
+
+  const std::shared_ptr<ArrayData>& array_data() const {
+    return std::get<std::shared_ptr<ArrayData>>(this->value);
+  }
+  ArrayData* array_data_mutable() {
+    return std::get<std::shared_ptr<ArrayData>>(this->value).get();
+  }
+
+  bool is_array_data() const { return this->value.index() == 1; }
+};
+
+/// \brief A "lightweight" column batch object which contains no
+/// std::shared_ptr objects and does not have any memory ownership
+/// semantics. Can represent a view onto an "owning" ExecBatch.
+struct ARROW_EXPORT ExecSpan {
+  ExecSpan() = default;
+  ExecSpan(const ExecSpan& other) = default;
+  ExecSpan& operator=(const ExecSpan& other) = default;
+  ExecSpan(ExecSpan&& other) = default;
+  ExecSpan& operator=(ExecSpan&& other) = default;
+
+  explicit ExecSpan(std::vector<ExecValue> values, int64_t length)
+      : length(length), values(std::move(values)) {}
+
+  explicit ExecSpan(const ExecBatch& batch) {
+    this->length = batch.length;
+    this->values.resize(batch.values.size());
+    for (size_t i = 0; i < batch.values.size(); ++i) {
+      const Datum& in_value = batch[i];
+      ExecValue* out_value = &this->values[i];
+      if (in_value.is_array()) {
+        out_value->SetArray(*in_value.array());
+      } else {
+        out_value->SetScalar(in_value.scalar().get());
+      }
+    }
+  }
+
+  /// \brief Return the value at the i-th index
+  template <typename index_type>
+  inline const ExecValue& operator[](index_type i) const {
+    return values[i];
+  }
+
+  /// \brief A convenience for the number of values / arguments.
+  int num_values() const { return static_cast<int>(values.size()); }
+
+  std::vector<TypeHolder> GetTypes() const {
+    std::vector<TypeHolder> result;
+    for (const auto& value : this->values) {
+      result.emplace_back(value.type());
+    }
+    return result;
+  }
+
+  ExecBatch ToExecBatch() const {
+    ExecBatch result;
+    result.length = this->length;
+    for (const ExecValue& value : this->values) {
+      if (value.is_array()) {
+        result.values.push_back(value.array.ToArrayData());
+      } else {
+        result.values.push_back(value.scalar->GetSharedPtr());
+      }
+    }
+    return result;
+  }
+
+  int64_t length = 0;
+  std::vector<ExecValue> values;
+};
+
+/// \defgroup compute-call-function One-shot calls to compute functions
+///
+/// @{
+
+/// \brief One-shot invoker for all types of functions.
+///
+/// Does kernel dispatch, argument checking, iteration of ChunkedArray inputs,
+/// and wrapping of outputs.
+ARROW_EXPORT
+Result<Datum> CallFunction(const std::string& func_name, const std::vector<Datum>& args,
+                           const FunctionOptions* options, ExecContext* ctx = NULLPTR);
+
+/// \brief Variant of CallFunction which uses a function's default options.
+///
+/// NB: Some functions require FunctionOptions be provided.
+ARROW_EXPORT
+Result<Datum> CallFunction(const std::string& func_name, const std::vector<Datum>& args,
+                           ExecContext* ctx = NULLPTR);
+
+/// \brief One-shot invoker for all types of functions.
+///
+/// Does kernel dispatch, argument checking, iteration of ChunkedArray inputs,
+/// and wrapping of outputs.
+ARROW_EXPORT
+Result<Datum> CallFunction(const std::string& func_name, const ExecBatch& batch,
+                           const FunctionOptions* options, ExecContext* ctx = NULLPTR);
+
+/// \brief Variant of CallFunction which uses a function's default options.
+///
+/// NB: Some functions require FunctionOptions be provided.
+ARROW_EXPORT
+Result<Datum> CallFunction(const std::string& func_name, const ExecBatch& batch,
+                           ExecContext* ctx = NULLPTR);
+
+/// @}
+
+/// \defgroup compute-function-executor One-shot calls to obtain function executors
+///
+/// @{
+
+/// \brief One-shot executor provider for all types of functions.
+///
+/// This function creates and initializes a `FunctionExecutor` appropriate
+/// for the given function name, input types and function options.
+ARROW_EXPORT
+Result<std::shared_ptr<FunctionExecutor>> GetFunctionExecutor(
+    const std::string& func_name, std::vector<TypeHolder> in_types,
+    const FunctionOptions* options = NULLPTR, FunctionRegistry* func_registry = NULLPTR);
+
+/// \brief One-shot executor provider for all types of functions.
+///
+/// This function creates and initializes a `FunctionExecutor` appropriate
+/// for the given function name, input types (taken from the Datum arguments)
+/// and function options.
+ARROW_EXPORT
+Result<std::shared_ptr<FunctionExecutor>> GetFunctionExecutor(
+    const std::string& func_name, const std::vector<Datum>& args,
+    const FunctionOptions* options = NULLPTR, FunctionRegistry* func_registry = NULLPTR);
+
+/// @}
+
+}  // namespace compute
+}  // namespace arrow

env-llmeval/lib/python3.10/site-packages/pyarrow/include/arrow/compute/expression.h

@@ -0,0 +1,295 @@
+// 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.
+
+// This API is EXPERIMENTAL.
+
+#pragma once
+
+#include <memory>
+#include <string>
+#include <utility>
+#include <variant>
+#include <vector>
+
+#include "arrow/compute/type_fwd.h"
+#include "arrow/datum.h"
+#include "arrow/type_fwd.h"
+#include "arrow/util/small_vector.h"
+
+namespace arrow {
+namespace compute {
+
+/// \defgroup expression-core Expressions to describe data transformations
+///
+/// @{
+
+/// An unbound expression which maps a single Datum to another Datum.
+/// An expression is one of
+/// - A literal Datum.
+/// - A reference to a single (potentially nested) field of the input Datum.
+/// - A call to a compute function, with arguments specified by other Expressions.
+class ARROW_EXPORT Expression {
+ public:
+  struct Call {
+    std::string function_name;
+    std::vector<Expression> arguments;
+    std::shared_ptr<FunctionOptions> options;
+    // Cached hash value
+    size_t hash;
+
+    // post-Bind properties:
+    std::shared_ptr<Function> function;
+    const Kernel* kernel = NULLPTR;
+    std::shared_ptr<KernelState> kernel_state;
+    TypeHolder type;
+
+    void ComputeHash();
+  };
+
+  std::string ToString() const;
+  bool Equals(const Expression& other) const;
+  size_t hash() const;
+  struct Hash {
+    size_t operator()(const Expression& expr) const { return expr.hash(); }
+  };
+
+  /// Bind this expression to the given input type, looking up Kernels and field types.
+  /// Some expression simplification may be performed and implicit casts will be inserted.
+  /// Any state necessary for execution will be initialized and returned.
+  Result<Expression> Bind(const TypeHolder& in, ExecContext* = NULLPTR) const;
+  Result<Expression> Bind(const Schema& in_schema, ExecContext* = NULLPTR) const;
+
+  // XXX someday
+  // Clone all KernelState in this bound expression. If any function referenced by this
+  // expression has mutable KernelState, it is not safe to execute or apply simplification
+  // passes to it (or copies of it!) from multiple threads. Cloning state produces new
+  // KernelStates where necessary to ensure that Expressions may be manipulated safely
+  // on multiple threads.
+  // Result<ExpressionState> CloneState() const;
+  // Status SetState(ExpressionState);
+
+  /// Return true if all an expression's field references have explicit types
+  /// and all of its functions' kernels are looked up.
+  bool IsBound() const;
+
+  /// Return true if this expression is composed only of Scalar literals, field
+  /// references, and calls to ScalarFunctions.
+  bool IsScalarExpression() const;
+
+  /// Return true if this expression is literal and entirely null.
+  bool IsNullLiteral() const;
+
+  /// Return true if this expression could evaluate to true. Will return true for any
+  /// unbound or non-boolean Expressions. IsSatisfiable does not (currently) do any
+  /// canonicalization or simplification of the expression, so even Expressions
+  /// which are unsatisfiable may spuriously return `true` here. This function is
+  /// intended for use in predicate pushdown where a filter expression is simplified
+  /// by a guarantee, so it assumes that trying to simplify again would be redundant.
+  bool IsSatisfiable() const;
+
+  // XXX someday
+  // Result<PipelineGraph> GetPipelines();
+
+  bool is_valid() const { return impl_ != NULLPTR; }
+
+  /// Access a Call or return nullptr if this expression is not a call
+  const Call* call() const;
+  /// Access a Datum or return nullptr if this expression is not a literal
+  const Datum* literal() const;
+  /// Access a FieldRef or return nullptr if this expression is not a field_ref
+  const FieldRef* field_ref() const;
+
+  /// The type to which this expression will evaluate
+  const DataType* type() const;
+  // XXX someday
+  // NullGeneralization::type nullable() const;
+
+  struct Parameter {
+    FieldRef ref;
+
+    // post-bind properties
+    TypeHolder type;
+    ::arrow::internal::SmallVector<int, 2> indices;
+  };
+  const Parameter* parameter() const;
+
+  Expression() = default;
+  explicit Expression(Call call);
+  explicit Expression(Datum literal);
+  explicit Expression(Parameter parameter);
+
+ private:
+  using Impl = std::variant<Datum, Parameter, Call>;
+  std::shared_ptr<Impl> impl_;
+
+  ARROW_FRIEND_EXPORT friend bool Identical(const Expression& l, const Expression& r);
+};
+
+inline bool operator==(const Expression& l, const Expression& r) { return l.Equals(r); }
+inline bool operator!=(const Expression& l, const Expression& r) { return !l.Equals(r); }
+
+ARROW_EXPORT void PrintTo(const Expression&, std::ostream*);
+
+// Factories
+
+ARROW_EXPORT
+Expression literal(Datum lit);
+
+template <typename Arg>
+Expression literal(Arg&& arg) {
+  return literal(Datum(std::forward<Arg>(arg)));
+}
+
+ARROW_EXPORT
+Expression field_ref(FieldRef ref);
+
+ARROW_EXPORT
+Expression call(std::string function, std::vector<Expression> arguments,
+                std::shared_ptr<FunctionOptions> options = NULLPTR);
+
+template <typename Options, typename = typename std::enable_if<
+                                std::is_base_of<FunctionOptions, Options>::value>::type>
+Expression call(std::string function, std::vector<Expression> arguments,
+                Options options) {
+  return call(std::move(function), std::move(arguments),
+              std::make_shared<Options>(std::move(options)));
+}
+
+/// Assemble a list of all fields referenced by an Expression at any depth.
+ARROW_EXPORT
+std::vector<FieldRef> FieldsInExpression(const Expression&);
+
+/// Check if the expression references any fields.
+ARROW_EXPORT
+bool ExpressionHasFieldRefs(const Expression&);
+
+struct ARROW_EXPORT KnownFieldValues;
+
+/// Assemble a mapping from field references to known values. This derives known values
+/// from "equal" and "is_null" Expressions referencing a field and a literal.
+ARROW_EXPORT
+Result<KnownFieldValues> ExtractKnownFieldValues(
+    const Expression& guaranteed_true_predicate);
+
+/// @}
+
+/// \defgroup expression-passes Functions for modification of Expressions
+///
+/// @{
+///
+/// These transform bound expressions. Some transforms utilize a guarantee, which is
+/// provided as an Expression which is guaranteed to evaluate to true. The
+/// guaranteed_true_predicate need not be bound, but canonicalization is currently
+/// deferred to producers of guarantees. For example in order to be recognized as a
+/// guarantee on a field value, an Expression must be a call to "equal" with field_ref LHS
+/// and literal RHS. Flipping the arguments, "is_in" with a one-long value_set, ... or
+/// other semantically identical Expressions will not be recognized.
+
+/// Weak canonicalization which establishes guarantees for subsequent passes. Even
+/// equivalent Expressions may result in different canonicalized expressions.
+/// TODO this could be a strong canonicalization
+ARROW_EXPORT
+Result<Expression> Canonicalize(Expression, ExecContext* = NULLPTR);
+
+/// Simplify Expressions based on literal arguments (for example, add(null, x) will always
+/// be null so replace the call with a null literal). Includes early evaluation of all
+/// calls whose arguments are entirely literal.
+ARROW_EXPORT
+Result<Expression> FoldConstants(Expression);
+
+/// Simplify Expressions by replacing with known values of the fields which it references.
+ARROW_EXPORT
+Result<Expression> ReplaceFieldsWithKnownValues(const KnownFieldValues& known_values,
+                                                Expression);
+
+/// Simplify an expression by replacing subexpressions based on a guarantee:
+/// a boolean expression which is guaranteed to evaluate to `true`. For example, this is
+/// used to remove redundant function calls from a filter expression or to replace a
+/// reference to a constant-value field with a literal.
+ARROW_EXPORT
+Result<Expression> SimplifyWithGuarantee(Expression,
+                                         const Expression& guaranteed_true_predicate);
+
+/// Replace all named field refs (e.g. "x" or "x.y") with field paths (e.g. [0] or [1,3])
+///
+/// This isn't usually needed and does not offer any simplification by itself.  However,
+/// it can be useful to normalize an expression to paths to make it simpler to work with.
+ARROW_EXPORT Result<Expression> RemoveNamedRefs(Expression expression);
+
+/// @}
+
+// Execution
+
+/// Create an ExecBatch suitable for passing to ExecuteScalarExpression() from a
+/// RecordBatch which may have missing or incorrectly ordered columns.
+/// Missing fields will be replaced with null scalars.
+ARROW_EXPORT Result<ExecBatch> MakeExecBatch(const Schema& full_schema,
+                                             const Datum& partial,
+                                             Expression guarantee = literal(true));
+
+/// Execute a scalar expression against the provided state and input ExecBatch. This
+/// expression must be bound.
+ARROW_EXPORT
+Result<Datum> ExecuteScalarExpression(const Expression&, const ExecBatch& input,
+                                      ExecContext* = NULLPTR);
+
+/// Convenience function for invoking against a RecordBatch
+ARROW_EXPORT
+Result<Datum> ExecuteScalarExpression(const Expression&, const Schema& full_schema,
+                                      const Datum& partial_input, ExecContext* = NULLPTR);
+
+// Serialization
+
+ARROW_EXPORT
+Result<std::shared_ptr<Buffer>> Serialize(const Expression&);
+
+ARROW_EXPORT
+Result<Expression> Deserialize(std::shared_ptr<Buffer>);
+
+/// \defgroup expression-convenience Helpers for convenient expression creation
+///
+/// @{
+
+ARROW_EXPORT Expression project(std::vector<Expression> values,
+                                std::vector<std::string> names);
+
+ARROW_EXPORT Expression equal(Expression lhs, Expression rhs);
+
+ARROW_EXPORT Expression not_equal(Expression lhs, Expression rhs);
+
+ARROW_EXPORT Expression less(Expression lhs, Expression rhs);
+
+ARROW_EXPORT Expression less_equal(Expression lhs, Expression rhs);
+
+ARROW_EXPORT Expression greater(Expression lhs, Expression rhs);
+
+ARROW_EXPORT Expression greater_equal(Expression lhs, Expression rhs);
+
+ARROW_EXPORT Expression is_null(Expression lhs, bool nan_is_null = false);
+
+ARROW_EXPORT Expression is_valid(Expression lhs);
+
+ARROW_EXPORT Expression and_(Expression lhs, Expression rhs);
+ARROW_EXPORT Expression and_(const std::vector<Expression>&);
+ARROW_EXPORT Expression or_(Expression lhs, Expression rhs);
+ARROW_EXPORT Expression or_(const std::vector<Expression>&);
+ARROW_EXPORT Expression not_(Expression operand);
+
+/// @}
+
+}  // namespace compute
+}  // namespace arrow

env-llmeval/lib/python3.10/site-packages/pyarrow/include/arrow/compute/function.h

@@ -0,0 +1,394 @@
+// 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.
+
+// NOTE: API is EXPERIMENTAL and will change without going through a
+// deprecation cycle.
+
+#pragma once
+
+#include <string>
+#include <utility>
+#include <vector>
+
+#include "arrow/compute/kernel.h"
+#include "arrow/compute/type_fwd.h"
+#include "arrow/datum.h"
+#include "arrow/result.h"
+#include "arrow/status.h"
+#include "arrow/util/compare.h"
+#include "arrow/util/macros.h"
+#include "arrow/util/visibility.h"
+
+namespace arrow {
+namespace compute {
+
+/// \addtogroup compute-functions
+/// @{
+
+/// \brief Contains the number of required arguments for the function.
+///
+/// Naming conventions taken from https://en.wikipedia.org/wiki/Arity.
+struct ARROW_EXPORT Arity {
+  /// \brief A function taking no arguments
+  static Arity Nullary() { return Arity(0, false); }
+
+  /// \brief A function taking 1 argument
+  static Arity Unary() { return Arity(1, false); }
+
+  /// \brief A function taking 2 arguments
+  static Arity Binary() { return Arity(2, false); }
+
+  /// \brief A function taking 3 arguments
+  static Arity Ternary() { return Arity(3, false); }
+
+  /// \brief A function taking a variable number of arguments
+  ///
+  /// \param[in] min_args the minimum number of arguments required when
+  /// invoking the function
+  static Arity VarArgs(int min_args = 0) { return Arity(min_args, true); }
+
+  // NOTE: the 0-argument form (default constructor) is required for Cython
+  explicit Arity(int num_args = 0, bool is_varargs = false)
+      : num_args(num_args), is_varargs(is_varargs) {}
+
+  /// The number of required arguments (or the minimum number for varargs
+  /// functions).
+  int num_args;
+
+  /// If true, then the num_args is the minimum number of required arguments.
+  bool is_varargs = false;
+};
+
+struct ARROW_EXPORT FunctionDoc {
+  /// \brief A one-line summary of the function, using a verb.
+  ///
+  /// For example, "Add two numeric arrays or scalars".
+  std::string summary;
+
+  /// \brief A detailed description of the function, meant to follow the summary.
+  std::string description;
+
+  /// \brief Symbolic names (identifiers) for the function arguments.
+  ///
+  /// Some bindings may use this to generate nicer function signatures.
+  std::vector<std::string> arg_names;
+
+  // TODO add argument descriptions?
+
+  /// \brief Name of the options class, if any.
+  std::string options_class;
+
+  /// \brief Whether options are required for function execution
+  ///
+  /// If false, then either the function does not have an options class
+  /// or there is a usable default options value.
+  bool options_required;
+
+  FunctionDoc() = default;
+
+  FunctionDoc(std::string summary, std::string description,
+              std::vector<std::string> arg_names, std::string options_class = "",
+              bool options_required = false)
+      : summary(std::move(summary)),
+        description(std::move(description)),
+        arg_names(std::move(arg_names)),
+        options_class(std::move(options_class)),
+        options_required(options_required) {}
+
+  static const FunctionDoc& Empty();
+};
+
+/// \brief An executor of a function with a preconfigured kernel
+class ARROW_EXPORT FunctionExecutor {
+ public:
+  virtual ~FunctionExecutor() = default;
+  /// \brief Initialize or re-initialize the preconfigured kernel
+  ///
+  /// This method may be called zero or more times. Depending on how
+  /// the FunctionExecutor was obtained, it may already have been initialized.
+  virtual Status Init(const FunctionOptions* options = NULLPTR,
+                      ExecContext* exec_ctx = NULLPTR) = 0;
+  /// \brief Execute the preconfigured kernel with arguments that must fit it
+  ///
+  /// The method requires the arguments be castable to the preconfigured types.
+  ///
+  /// \param[in] args Arguments to execute the function on
+  /// \param[in] length Length of arguments batch or -1 to default it. If the
+  /// function has no parameters, this determines the batch length, defaulting
+  /// to 0. Otherwise, if the function is scalar, this must equal the argument
+  /// batch's inferred length or be -1 to default to it. This is ignored for
+  /// vector functions.
+  virtual Result<Datum> Execute(const std::vector<Datum>& args, int64_t length = -1) = 0;
+};
+
+/// \brief Base class for compute functions. Function implementations contain a
+/// collection of "kernels" which are implementations of the function for
+/// specific argument types. Selecting a viable kernel for executing a function
+/// is referred to as "dispatching".
+class ARROW_EXPORT Function {
+ public:
+  /// \brief The kind of function, which indicates in what contexts it is
+  /// valid for use.
+  enum Kind {
+    /// A function that performs scalar data operations on whole arrays of
+    /// data. Can generally process Array or Scalar values. The size of the
+    /// output will be the same as the size (or broadcasted size, in the case
+    /// of mixing Array and Scalar inputs) of the input.
+    SCALAR,
+
+    /// A function with array input and output whose behavior depends on the
+    /// values of the entire arrays passed, rather than the value of each scalar
+    /// value.
+    VECTOR,
+
+    /// A function that computes scalar summary statistics from array input.
+    SCALAR_AGGREGATE,
+
+    /// A function that computes grouped summary statistics from array input
+    /// and an array of group identifiers.
+    HASH_AGGREGATE,
+
+    /// A function that dispatches to other functions and does not contain its
+    /// own kernels.
+    META
+  };
+
+  virtual ~Function() = default;
+
+  /// \brief The name of the kernel. The registry enforces uniqueness of names.
+  const std::string& name() const { return name_; }
+
+  /// \brief The kind of kernel, which indicates in what contexts it is valid
+  /// for use.
+  Function::Kind kind() const { return kind_; }
+
+  /// \brief Contains the number of arguments the function requires, or if the
+  /// function accepts variable numbers of arguments.
+  const Arity& arity() const { return arity_; }
+
+  /// \brief Return the function documentation
+  const FunctionDoc& doc() const { return doc_; }
+
+  /// \brief Returns the number of registered kernels for this function.
+  virtual int num_kernels() const = 0;
+
+  /// \brief Return a kernel that can execute the function given the exact
+  /// argument types (without implicit type casts).
+  ///
+  /// NB: This function is overridden in CastFunction.
+  virtual Result<const Kernel*> DispatchExact(const std::vector<TypeHolder>& types) const;
+
+  /// \brief Return a best-match kernel that can execute the function given the argument
+  /// types, after implicit casts are applied.
+  ///
+  /// \param[in,out] values Argument types. An element may be modified to
+  /// indicate that the returned kernel only approximately matches the input
+  /// value descriptors; callers are responsible for casting inputs to the type
+  /// required by the kernel.
+  virtual Result<const Kernel*> DispatchBest(std::vector<TypeHolder>* values) const;
+
+  /// \brief Get a function executor with a best-matching kernel
+  ///
+  /// The returned executor will by default work with the default FunctionOptions
+  /// and KernelContext. If you want to change that, call `FunctionExecutor::Init`.
+  virtual Result<std::shared_ptr<FunctionExecutor>> GetBestExecutor(
+      std::vector<TypeHolder> inputs) const;
+
+  /// \brief Execute the function eagerly with the passed input arguments with
+  /// kernel dispatch, batch iteration, and memory allocation details taken
+  /// care of.
+  ///
+  /// If the `options` pointer is null, then `default_options()` will be used.
+  ///
+  /// This function can be overridden in subclasses.
+  virtual Result<Datum> Execute(const std::vector<Datum>& args,
+                                const FunctionOptions* options, ExecContext* ctx) const;
+
+  virtual Result<Datum> Execute(const ExecBatch& batch, const FunctionOptions* options,
+                                ExecContext* ctx) const;
+
+  /// \brief Returns the default options for this function.
+  ///
+  /// Whatever option semantics a Function has, implementations must guarantee
+  /// that default_options() is valid to pass to Execute as options.
+  const FunctionOptions* default_options() const { return default_options_; }
+
+  virtual Status Validate() const;
+
+ protected:
+  Function(std::string name, Function::Kind kind, const Arity& arity, FunctionDoc doc,
+           const FunctionOptions* default_options)
+      : name_(std::move(name)),
+        kind_(kind),
+        arity_(arity),
+        doc_(std::move(doc)),
+        default_options_(default_options) {}
+
+  Status CheckArity(size_t num_args) const;
+
+  std::string name_;
+  Function::Kind kind_;
+  Arity arity_;
+  const FunctionDoc doc_;
+  const FunctionOptions* default_options_ = NULLPTR;
+};
+
+namespace detail {
+
+template <typename KernelType>
+class FunctionImpl : public Function {
+ public:
+  /// \brief Return pointers to current-available kernels for inspection
+  std::vector<const KernelType*> kernels() const {
+    std::vector<const KernelType*> result;
+    for (const auto& kernel : kernels_) {
+      result.push_back(&kernel);
+    }
+    return result;
+  }
+
+  int num_kernels() const override { return static_cast<int>(kernels_.size()); }
+
+ protected:
+  FunctionImpl(std::string name, Function::Kind kind, const Arity& arity, FunctionDoc doc,
+               const FunctionOptions* default_options)
+      : Function(std::move(name), kind, arity, std::move(doc), default_options) {}
+
+  std::vector<KernelType> kernels_;
+};
+
+/// \brief Look up a kernel in a function. If no Kernel is found, nullptr is returned.
+ARROW_EXPORT
+const Kernel* DispatchExactImpl(const Function* func, const std::vector<TypeHolder>&);
+
+/// \brief Return an error message if no Kernel is found.
+ARROW_EXPORT
+Status NoMatchingKernel(const Function* func, const std::vector<TypeHolder>&);
+
+}  // namespace detail
+
+/// \brief A function that executes elementwise operations on arrays or
+/// scalars, and therefore whose results generally do not depend on the order
+/// of the values in the arguments. Accepts and returns arrays that are all of
+/// the same size. These functions roughly correspond to the functions used in
+/// SQL expressions.
+class ARROW_EXPORT ScalarFunction : public detail::FunctionImpl<ScalarKernel> {
+ public:
+  using KernelType = ScalarKernel;
+
+  ScalarFunction(std::string name, const Arity& arity, FunctionDoc doc,
+                 const FunctionOptions* default_options = NULLPTR)
+      : detail::FunctionImpl<ScalarKernel>(std::move(name), Function::SCALAR, arity,
+                                           std::move(doc), default_options) {}
+
+  /// \brief Add a kernel with given input/output types, no required state
+  /// initialization, preallocation for fixed-width types, and default null
+  /// handling (intersect validity bitmaps of inputs).
+  Status AddKernel(std::vector<InputType> in_types, OutputType out_type,
+                   ArrayKernelExec exec, KernelInit init = NULLPTR);
+
+  /// \brief Add a kernel (function implementation). Returns error if the
+  /// kernel's signature does not match the function's arity.
+  Status AddKernel(ScalarKernel kernel);
+};
+
+/// \brief A function that executes general array operations that may yield
+/// outputs of different sizes or have results that depend on the whole array
+/// contents. These functions roughly correspond to the functions found in
+/// non-SQL array languages like APL and its derivatives.
+class ARROW_EXPORT VectorFunction : public detail::FunctionImpl<VectorKernel> {
+ public:
+  using KernelType = VectorKernel;
+
+  VectorFunction(std::string name, const Arity& arity, FunctionDoc doc,
+                 const FunctionOptions* default_options = NULLPTR)
+      : detail::FunctionImpl<VectorKernel>(std::move(name), Function::VECTOR, arity,
+                                           std::move(doc), default_options) {}
+
+  /// \brief Add a simple kernel with given input/output types, no required
+  /// state initialization, no data preallocation, and no preallocation of the
+  /// validity bitmap.
+  Status AddKernel(std::vector<InputType> in_types, OutputType out_type,
+                   ArrayKernelExec exec, KernelInit init = NULLPTR);
+
+  /// \brief Add a kernel (function implementation). Returns error if the
+  /// kernel's signature does not match the function's arity.
+  Status AddKernel(VectorKernel kernel);
+};
+
+class ARROW_EXPORT ScalarAggregateFunction
+    : public detail::FunctionImpl<ScalarAggregateKernel> {
+ public:
+  using KernelType = ScalarAggregateKernel;
+
+  ScalarAggregateFunction(std::string name, const Arity& arity, FunctionDoc doc,
+                          const FunctionOptions* default_options = NULLPTR)
+      : detail::FunctionImpl<ScalarAggregateKernel>(std::move(name),
+                                                    Function::SCALAR_AGGREGATE, arity,
+                                                    std::move(doc), default_options) {}
+
+  /// \brief Add a kernel (function implementation). Returns error if the
+  /// kernel's signature does not match the function's arity.
+  Status AddKernel(ScalarAggregateKernel kernel);
+};
+
+class ARROW_EXPORT HashAggregateFunction
+    : public detail::FunctionImpl<HashAggregateKernel> {
+ public:
+  using KernelType = HashAggregateKernel;
+
+  HashAggregateFunction(std::string name, const Arity& arity, FunctionDoc doc,
+                        const FunctionOptions* default_options = NULLPTR)
+      : detail::FunctionImpl<HashAggregateKernel>(std::move(name),
+                                                  Function::HASH_AGGREGATE, arity,
+                                                  std::move(doc), default_options) {}
+
+  /// \brief Add a kernel (function implementation). Returns error if the
+  /// kernel's signature does not match the function's arity.
+  Status AddKernel(HashAggregateKernel kernel);
+};
+
+/// \brief A function that dispatches to other functions. Must implement
+/// MetaFunction::ExecuteImpl.
+///
+/// For Array, ChunkedArray, and Scalar Datum kinds, may rely on the execution
+/// of concrete Function types, but must handle other Datum kinds on its own.
+class ARROW_EXPORT MetaFunction : public Function {
+ public:
+  int num_kernels() const override { return 0; }
+
+  Result<Datum> Execute(const std::vector<Datum>& args, const FunctionOptions* options,
+                        ExecContext* ctx) const override;
+
+  Result<Datum> Execute(const ExecBatch& batch, const FunctionOptions* options,
+                        ExecContext* ctx) const override;
+
+ protected:
+  virtual Result<Datum> ExecuteImpl(const std::vector<Datum>& args,
+                                    const FunctionOptions* options,
+                                    ExecContext* ctx) const = 0;
+
+  MetaFunction(std::string name, const Arity& arity, FunctionDoc doc,
+               const FunctionOptions* default_options = NULLPTR)
+      : Function(std::move(name), Function::META, arity, std::move(doc),
+                 default_options) {}
+};
+
+/// @}
+
+}  // namespace compute
+}  // namespace arrow

env-llmeval/lib/python3.10/site-packages/pyarrow/include/arrow/compute/function_options.h

@@ -0,0 +1,81 @@
+// 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.
+
+// NOTE: API is EXPERIMENTAL and will change without going through a
+// deprecation cycle.
+
+#pragma once
+
+#include "arrow/compute/type_fwd.h"
+#include "arrow/result.h"
+#include "arrow/status.h"
+#include "arrow/type_fwd.h"
+#include "arrow/util/visibility.h"
+
+namespace arrow {
+namespace compute {
+
+/// \addtogroup compute-functions
+/// @{
+
+/// \brief Extension point for defining options outside libarrow (but
+/// still within this project).
+class ARROW_EXPORT FunctionOptionsType {
+ public:
+  virtual ~FunctionOptionsType() = default;
+
+  virtual const char* type_name() const = 0;
+  virtual std::string Stringify(const FunctionOptions&) const = 0;
+  virtual bool Compare(const FunctionOptions&, const FunctionOptions&) const = 0;
+  virtual Result<std::shared_ptr<Buffer>> Serialize(const FunctionOptions&) const;
+  virtual Result<std::unique_ptr<FunctionOptions>> Deserialize(
+      const Buffer& buffer) const;
+  virtual std::unique_ptr<FunctionOptions> Copy(const FunctionOptions&) const = 0;
+};
+
+/// \brief Base class for specifying options configuring a function's behavior,
+/// such as error handling.
+class ARROW_EXPORT FunctionOptions : public util::EqualityComparable<FunctionOptions> {
+ public:
+  virtual ~FunctionOptions() = default;
+
+  const FunctionOptionsType* options_type() const { return options_type_; }
+  const char* type_name() const { return options_type()->type_name(); }
+
+  bool Equals(const FunctionOptions& other) const;
+  std::string ToString() const;
+  std::unique_ptr<FunctionOptions> Copy() const;
+  /// \brief Serialize an options struct to a buffer.
+  Result<std::shared_ptr<Buffer>> Serialize() const;
+  /// \brief Deserialize an options struct from a buffer.
+  /// Note: this will only look for `type_name` in the default FunctionRegistry;
+  /// to use a custom FunctionRegistry, look up the FunctionOptionsType, then
+  /// call FunctionOptionsType::Deserialize().
+  static Result<std::unique_ptr<FunctionOptions>> Deserialize(
+      const std::string& type_name, const Buffer& buffer);
+
+ protected:
+  explicit FunctionOptions(const FunctionOptionsType* type) : options_type_(type) {}
+  const FunctionOptionsType* options_type_;
+};
+
+ARROW_EXPORT void PrintTo(const FunctionOptions&, std::ostream*);
+
+/// @}
+
+}  // namespace compute
+}  // namespace arrow

env-llmeval/lib/python3.10/site-packages/pyarrow/include/arrow/compute/kernel.h

@@ -0,0 +1,752 @@
+// 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.
+
+// NOTE: API is EXPERIMENTAL and will change without going through a
+// deprecation cycle
+
+#pragma once
+
+#include <cstddef>
+#include <cstdint>
+#include <functional>
+#include <memory>
+#include <string>
+#include <utility>
+#include <vector>
+
+#include "arrow/buffer.h"
+#include "arrow/compute/exec.h"
+#include "arrow/datum.h"
+#include "arrow/memory_pool.h"
+#include "arrow/result.h"
+#include "arrow/status.h"
+#include "arrow/type.h"
+#include "arrow/util/macros.h"
+#include "arrow/util/visibility.h"
+
+// macOS defines PREALLOCATE as a preprocessor macro in the header sys/vnode.h.
+// No other BSD seems to do so. The name is used as an identifier in MemAllocation enum.
+#if defined(__APPLE__) && defined(PREALLOCATE)
+#undef PREALLOCATE
+#endif
+
+namespace arrow {
+namespace compute {
+
+class FunctionOptions;
+
+/// \brief Base class for opaque kernel-specific state. For example, if there
+/// is some kind of initialization required.
+struct ARROW_EXPORT KernelState {
+  virtual ~KernelState() = default;
+};
+
+/// \brief Context/state for the execution of a particular kernel.
+class ARROW_EXPORT KernelContext {
+ public:
+  // Can pass optional backreference; not used consistently for the
+  // moment but will be made so in the future
+  explicit KernelContext(ExecContext* exec_ctx, const Kernel* kernel = NULLPTR)
+      : exec_ctx_(exec_ctx), kernel_(kernel) {}
+
+  /// \brief Allocate buffer from the context's memory pool. The contents are
+  /// not initialized.
+  Result<std::shared_ptr<ResizableBuffer>> Allocate(int64_t nbytes);
+
+  /// \brief Allocate buffer for bitmap from the context's memory pool. Like
+  /// Allocate, the contents of the buffer are not initialized but the last
+  /// byte is preemptively zeroed to help avoid ASAN or valgrind issues.
+  Result<std::shared_ptr<ResizableBuffer>> AllocateBitmap(int64_t num_bits);
+
+  /// \brief Assign the active KernelState to be utilized for each stage of
+  /// kernel execution. Ownership and memory lifetime of the KernelState must
+  /// be minded separately.
+  void SetState(KernelState* state) { state_ = state; }
+
+  // Set kernel that is being invoked since some kernel
+  // implementations will examine the kernel state.
+  void SetKernel(const Kernel* kernel) { kernel_ = kernel; }
+
+  KernelState* state() { return state_; }
+
+  /// \brief Configuration related to function execution that is to be shared
+  /// across multiple kernels.
+  ExecContext* exec_context() { return exec_ctx_; }
+
+  /// \brief The memory pool to use for allocations. For now, it uses the
+  /// MemoryPool contained in the ExecContext used to create the KernelContext.
+  MemoryPool* memory_pool() { return exec_ctx_->memory_pool(); }
+
+  const Kernel* kernel() const { return kernel_; }
+
+ private:
+  ExecContext* exec_ctx_;
+  KernelState* state_ = NULLPTR;
+  const Kernel* kernel_ = NULLPTR;
+};
+
+/// \brief An type-checking interface to permit customizable validation rules
+/// for use with InputType and KernelSignature. This is for scenarios where the
+/// acceptance is not an exact type instance, such as a TIMESTAMP type for a
+/// specific TimeUnit, but permitting any time zone.
+struct ARROW_EXPORT TypeMatcher {
+  virtual ~TypeMatcher() = default;
+
+  /// \brief Return true if this matcher accepts the data type.
+  virtual bool Matches(const DataType& type) const = 0;
+
+  /// \brief A human-interpretable string representation of what the type
+  /// matcher checks for, usable when printing KernelSignature or formatting
+  /// error messages.
+  virtual std::string ToString() const = 0;
+
+  /// \brief Return true if this TypeMatcher contains the same matching rule as
+  /// the other. Currently depends on RTTI.
+  virtual bool Equals(const TypeMatcher& other) const = 0;
+};
+
+namespace match {
+
+/// \brief Match any DataType instance having the same DataType::id.
+ARROW_EXPORT std::shared_ptr<TypeMatcher> SameTypeId(Type::type type_id);
+
+/// \brief Match any TimestampType instance having the same unit, but the time
+/// zones can be different.
+ARROW_EXPORT std::shared_ptr<TypeMatcher> TimestampTypeUnit(TimeUnit::type unit);
+ARROW_EXPORT std::shared_ptr<TypeMatcher> Time32TypeUnit(TimeUnit::type unit);
+ARROW_EXPORT std::shared_ptr<TypeMatcher> Time64TypeUnit(TimeUnit::type unit);
+ARROW_EXPORT std::shared_ptr<TypeMatcher> DurationTypeUnit(TimeUnit::type unit);
+
+// \brief Match any integer type
+ARROW_EXPORT std::shared_ptr<TypeMatcher> Integer();
+
+// Match types using 32-bit varbinary representation
+ARROW_EXPORT std::shared_ptr<TypeMatcher> BinaryLike();
+
+// Match types using 64-bit varbinary representation
+ARROW_EXPORT std::shared_ptr<TypeMatcher> LargeBinaryLike();
+
+// Match any fixed binary type
+ARROW_EXPORT std::shared_ptr<TypeMatcher> FixedSizeBinaryLike();
+
+// \brief Match any primitive type (boolean or any type representable as a C
+// Type)
+ARROW_EXPORT std::shared_ptr<TypeMatcher> Primitive();
+
+// \brief Match any integer type that can be used as run-end in run-end encoded
+// arrays
+ARROW_EXPORT std::shared_ptr<TypeMatcher> RunEndInteger();
+
+/// \brief Match run-end encoded types that use any valid run-end type and
+/// encode specific value types
+///
+/// @param[in] value_type_matcher a matcher that is applied to the values field
+ARROW_EXPORT std::shared_ptr<TypeMatcher> RunEndEncoded(
+    std::shared_ptr<TypeMatcher> value_type_matcher);
+
+/// \brief Match run-end encoded types that use any valid run-end type and
+/// encode specific value types
+///
+/// @param[in] value_type_id a type id that the type of the values field should match
+ARROW_EXPORT std::shared_ptr<TypeMatcher> RunEndEncoded(Type::type value_type_id);
+
+/// \brief Match run-end encoded types that encode specific run-end and value types
+///
+/// @param[in] run_end_type_matcher a matcher that is applied to the run_ends field
+/// @param[in] value_type_matcher a matcher that is applied to the values field
+ARROW_EXPORT std::shared_ptr<TypeMatcher> RunEndEncoded(
+    std::shared_ptr<TypeMatcher> run_end_type_matcher,
+    std::shared_ptr<TypeMatcher> value_type_matcher);
+
+}  // namespace match
+
+/// \brief An object used for type-checking arguments to be passed to a kernel
+/// and stored in a KernelSignature. The type-checking rule can be supplied
+/// either with an exact DataType instance or a custom TypeMatcher.
+class ARROW_EXPORT InputType {
+ public:
+  /// \brief The kind of type-checking rule that the InputType contains.
+  enum Kind {
+    /// \brief Accept any value type.
+    ANY_TYPE,
+
+    /// \brief A fixed arrow::DataType and will only exact match having this
+    /// exact type (e.g. same TimestampType unit, same decimal scale and
+    /// precision, or same nested child types).
+    EXACT_TYPE,
+
+    /// \brief Uses a TypeMatcher implementation to check the type.
+    USE_TYPE_MATCHER
+  };
+
+  /// \brief Accept any value type
+  InputType() : kind_(ANY_TYPE) {}
+
+  /// \brief Accept an exact value type.
+  InputType(std::shared_ptr<DataType> type)  // NOLINT implicit construction
+      : kind_(EXACT_TYPE), type_(std::move(type)) {}
+
+  /// \brief Use the passed TypeMatcher to type check.
+  InputType(std::shared_ptr<TypeMatcher> type_matcher)  // NOLINT implicit construction
+      : kind_(USE_TYPE_MATCHER), type_matcher_(std::move(type_matcher)) {}
+
+  /// \brief Match any type with the given Type::type. Uses a TypeMatcher for
+  /// its implementation.
+  InputType(Type::type type_id)  // NOLINT implicit construction
+      : InputType(match::SameTypeId(type_id)) {}
+
+  InputType(const InputType& other) { CopyInto(other); }
+
+  void operator=(const InputType& other) { CopyInto(other); }
+
+  InputType(InputType&& other) { MoveInto(std::forward<InputType>(other)); }
+
+  void operator=(InputType&& other) { MoveInto(std::forward<InputType>(other)); }
+
+  // \brief Match any input (array, scalar of any type)
+  static InputType Any() { return InputType(); }
+
+  /// \brief Return true if this input type matches the same type cases as the
+  /// other.
+  bool Equals(const InputType& other) const;
+
+  bool operator==(const InputType& other) const { return this->Equals(other); }
+
+  bool operator!=(const InputType& other) const { return !(*this == other); }
+
+  /// \brief Return hash code.
+  size_t Hash() const;
+
+  /// \brief Render a human-readable string representation.
+  std::string ToString() const;
+
+  /// \brief Return true if the Datum matches this argument kind in
+  /// type (and only allows scalar or array-like Datums).
+  bool Matches(const Datum& value) const;
+
+  /// \brief Return true if the type matches this InputType
+  bool Matches(const DataType& type) const;
+
+  /// \brief The type matching rule that this InputType uses.
+  Kind kind() const { return kind_; }
+
+  /// \brief For InputType::EXACT_TYPE kind, the exact type that this InputType
+  /// must match. Otherwise this function should not be used and will assert in
+  /// debug builds.
+  const std::shared_ptr<DataType>& type() const;
+
+  /// \brief For InputType::USE_TYPE_MATCHER, the TypeMatcher to be used for
+  /// checking the type of a value. Otherwise this function should not be used
+  /// and will assert in debug builds.
+  const TypeMatcher& type_matcher() const;
+
+ private:
+  void CopyInto(const InputType& other) {
+    this->kind_ = other.kind_;
+    this->type_ = other.type_;
+    this->type_matcher_ = other.type_matcher_;
+  }
+
+  void MoveInto(InputType&& other) {
+    this->kind_ = other.kind_;
+    this->type_ = std::move(other.type_);
+    this->type_matcher_ = std::move(other.type_matcher_);
+  }
+
+  Kind kind_;
+
+  // For EXACT_TYPE Kind
+  std::shared_ptr<DataType> type_;
+
+  // For USE_TYPE_MATCHER Kind
+  std::shared_ptr<TypeMatcher> type_matcher_;
+};
+
+/// \brief Container to capture both exact and input-dependent output types.
+class ARROW_EXPORT OutputType {
+ public:
+  /// \brief An enum indicating whether the value type is an invariant fixed
+  /// value or one that's computed by a kernel-defined resolver function.
+  enum ResolveKind { FIXED, COMPUTED };
+
+  /// Type resolution function. Given input types, return output type.  This
+  /// function MAY may use the kernel state to decide the output type based on
+  /// the FunctionOptions.
+  ///
+  /// This function SHOULD _not_ be used to check for arity, that is to be
+  /// performed one or more layers above.
+  using Resolver =
+      std::function<Result<TypeHolder>(KernelContext*, const std::vector<TypeHolder>&)>;
+
+  /// \brief Output an exact type
+  OutputType(std::shared_ptr<DataType> type)  // NOLINT implicit construction
+      : kind_(FIXED), type_(std::move(type)) {}
+
+  /// \brief Output a computed type depending on actual input types
+  template <typename Fn>
+  OutputType(Fn resolver)  // NOLINT implicit construction
+      : kind_(COMPUTED), resolver_(std::move(resolver)) {}
+
+  OutputType(const OutputType& other) {
+    this->kind_ = other.kind_;
+    this->type_ = other.type_;
+    this->resolver_ = other.resolver_;
+  }
+
+  OutputType(OutputType&& other) {
+    this->kind_ = other.kind_;
+    this->type_ = std::move(other.type_);
+    this->resolver_ = other.resolver_;
+  }
+
+  OutputType& operator=(const OutputType&) = default;
+  OutputType& operator=(OutputType&&) = default;
+
+  /// \brief Return the type of the expected output value of the kernel given
+  /// the input argument types. The resolver may make use of state information
+  /// kept in the KernelContext.
+  Result<TypeHolder> Resolve(KernelContext* ctx,
+                             const std::vector<TypeHolder>& args) const;
+
+  /// \brief The exact output value type for the FIXED kind.
+  const std::shared_ptr<DataType>& type() const;
+
+  /// \brief For use with COMPUTED resolution strategy. It may be more
+  /// convenient to invoke this with OutputType::Resolve returned from this
+  /// method.
+  const Resolver& resolver() const;
+
+  /// \brief Render a human-readable string representation.
+  std::string ToString() const;
+
+  /// \brief Return the kind of type resolution of this output type, whether
+  /// fixed/invariant or computed by a resolver.
+  ResolveKind kind() const { return kind_; }
+
+ private:
+  ResolveKind kind_;
+
+  // For FIXED resolution
+  std::shared_ptr<DataType> type_;
+
+  // For COMPUTED resolution
+  Resolver resolver_ = NULLPTR;
+};
+
+/// \brief Holds the input types and output type of the kernel.
+///
+/// VarArgs functions with minimum N arguments should pass up to N input types to be
+/// used to validate the input types of a function invocation. The first N-1 types
+/// will be matched against the first N-1 arguments, and the last type will be
+/// matched against the remaining arguments.
+class ARROW_EXPORT KernelSignature {
+ public:
+  KernelSignature(std::vector<InputType> in_types, OutputType out_type,
+                  bool is_varargs = false);
+
+  /// \brief Convenience ctor since make_shared can be awkward
+  static std::shared_ptr<KernelSignature> Make(std::vector<InputType> in_types,
+                                               OutputType out_type,
+                                               bool is_varargs = false);
+
+  /// \brief Return true if the signature if compatible with the list of input
+  /// value descriptors.
+  bool MatchesInputs(const std::vector<TypeHolder>& types) const;
+
+  /// \brief Returns true if the input types of each signature are
+  /// equal. Well-formed functions should have a deterministic output type
+  /// given input types, but currently it is the responsibility of the
+  /// developer to ensure this.
+  bool Equals(const KernelSignature& other) const;
+
+  bool operator==(const KernelSignature& other) const { return this->Equals(other); }
+
+  bool operator!=(const KernelSignature& other) const { return !(*this == other); }
+
+  /// \brief Compute a hash code for the signature
+  size_t Hash() const;
+
+  /// \brief The input types for the kernel. For VarArgs functions, this should
+  /// generally contain a single validator to use for validating all of the
+  /// function arguments.
+  const std::vector<InputType>& in_types() const { return in_types_; }
+
+  /// \brief The output type for the kernel. Use Resolve to return the
+  /// exact output given input argument types, since many kernels'
+  /// output types depend on their input types (or their type
+  /// metadata).
+  const OutputType& out_type() const { return out_type_; }
+
+  /// \brief Render a human-readable string representation
+  std::string ToString() const;
+
+  bool is_varargs() const { return is_varargs_; }
+
+ private:
+  std::vector<InputType> in_types_;
+  OutputType out_type_;
+  bool is_varargs_;
+
+  // For caching the hash code after it's computed the first time
+  mutable uint64_t hash_code_;
+};
+
+/// \brief A function may contain multiple variants of a kernel for a given
+/// type combination for different SIMD levels. Based on the active system's
+/// CPU info or the user's preferences, we can elect to use one over the other.
+struct SimdLevel {
+  enum type { NONE = 0, SSE4_2, AVX, AVX2, AVX512, NEON, MAX };
+};
+
+/// \brief The strategy to use for propagating or otherwise populating the
+/// validity bitmap of a kernel output.
+struct NullHandling {
+  enum type {
+    /// Compute the output validity bitmap by intersecting the validity bitmaps
+    /// of the arguments using bitwise-and operations. This means that values
+    /// in the output are valid/non-null only if the corresponding values in
+    /// all input arguments were valid/non-null. Kernel generally need not
+    /// touch the bitmap thereafter, but a kernel's exec function is permitted
+    /// to alter the bitmap after the null intersection is computed if it needs
+    /// to.
+    INTERSECTION,
+
+    /// Kernel expects a pre-allocated buffer to write the result bitmap
+    /// into. The preallocated memory is not zeroed (except for the last byte),
+    /// so the kernel should ensure to completely populate the bitmap.
+    COMPUTED_PREALLOCATE,
+
+    /// Kernel allocates and sets the validity bitmap of the output.
+    COMPUTED_NO_PREALLOCATE,
+
+    /// Kernel output is never null and a validity bitmap does not need to be
+    /// allocated.
+    OUTPUT_NOT_NULL
+  };
+};
+
+/// \brief The preference for memory preallocation of fixed-width type outputs
+/// in kernel execution.
+struct MemAllocation {
+  enum type {
+    // For data types that support pre-allocation (i.e. fixed-width), the
+    // kernel expects to be provided a pre-allocated data buffer to write
+    // into. Non-fixed-width types must always allocate their own data
+    // buffers. The allocation made for the same length as the execution batch,
+    // so vector kernels yielding differently sized output should not use this.
+    //
+    // It is valid for the data to not be preallocated but the validity bitmap
+    // is (or is computed using the intersection/bitwise-and method).
+    //
+    // For variable-size output types like BinaryType or StringType, or for
+    // nested types, this option has no effect.
+    PREALLOCATE,
+
+    // The kernel is responsible for allocating its own data buffer for
+    // fixed-width type outputs.
+    NO_PREALLOCATE
+  };
+};
+
+struct Kernel;
+
+/// \brief Arguments to pass to an KernelInit function. A struct is used to help
+/// avoid API breakage should the arguments passed need to be expanded.
+struct KernelInitArgs {
+  /// \brief A pointer to the kernel being initialized. The init function may
+  /// depend on the kernel's KernelSignature or other data contained there.
+  const Kernel* kernel;
+
+  /// \brief The types of the input arguments that the kernel is
+  /// about to be executed against.
+  const std::vector<TypeHolder>& inputs;
+
+  /// \brief Opaque options specific to this kernel. May be nullptr for functions
+  /// that do not require options.
+  const FunctionOptions* options;
+};
+
+/// \brief Common initializer function for all kernel types.
+using KernelInit = std::function<Result<std::unique_ptr<KernelState>>(
+    KernelContext*, const KernelInitArgs&)>;
+
+/// \brief Base type for kernels. Contains the function signature and
+/// optionally the state initialization function, along with some common
+/// attributes
+struct ARROW_EXPORT Kernel {
+  Kernel() = default;
+
+  Kernel(std::shared_ptr<KernelSignature> sig, KernelInit init)
+      : signature(std::move(sig)), init(std::move(init)) {}
+
+  Kernel(std::vector<InputType> in_types, OutputType out_type, KernelInit init)
+      : Kernel(KernelSignature::Make(std::move(in_types), std::move(out_type)),
+               std::move(init)) {}
+
+  /// \brief The "signature" of the kernel containing the InputType input
+  /// argument validators and OutputType output type resolver.
+  std::shared_ptr<KernelSignature> signature;
+
+  /// \brief Create a new KernelState for invocations of this kernel, e.g. to
+  /// set up any options or state relevant for execution.
+  KernelInit init;
+
+  /// \brief Create a vector of new KernelState for invocations of this kernel.
+  static Status InitAll(KernelContext*, const KernelInitArgs&,
+                        std::vector<std::unique_ptr<KernelState>>*);
+
+  /// \brief Indicates whether execution can benefit from parallelization
+  /// (splitting large chunks into smaller chunks and using multiple
+  /// threads). Some kernels may not support parallel execution at
+  /// all. Synchronization and concurrency-related issues are currently the
+  /// responsibility of the Kernel's implementation.
+  bool parallelizable = true;
+
+  /// \brief Indicates the level of SIMD instruction support in the host CPU is
+  /// required to use the function. The intention is for functions to be able to
+  /// contain multiple kernels with the same signature but different levels of SIMD,
+  /// so that the most optimized kernel supported on a host's processor can be chosen.
+  SimdLevel::type simd_level = SimdLevel::NONE;
+
+  // Additional kernel-specific data
+  std::shared_ptr<KernelState> data;
+};
+
+/// \brief The scalar kernel execution API that must be implemented for SCALAR
+/// kernel types. This includes both stateless and stateful kernels. Kernels
+/// depending on some execution state access that state via subclasses of
+/// KernelState set on the KernelContext object. Implementations should
+/// endeavor to write into pre-allocated memory if they are able, though for
+/// some kernels (e.g. in cases when a builder like StringBuilder) must be
+/// employed this may not be possible.
+using ArrayKernelExec = Status (*)(KernelContext*, const ExecSpan&, ExecResult*);
+
+/// \brief Kernel data structure for implementations of ScalarFunction. In
+/// addition to the members found in Kernel, contains the null handling
+/// and memory pre-allocation preferences.
+struct ARROW_EXPORT ScalarKernel : public Kernel {
+  ScalarKernel() = default;
+
+  ScalarKernel(std::shared_ptr<KernelSignature> sig, ArrayKernelExec exec,
+               KernelInit init = NULLPTR)
+      : Kernel(std::move(sig), init), exec(exec) {}
+
+  ScalarKernel(std::vector<InputType> in_types, OutputType out_type, ArrayKernelExec exec,
+               KernelInit init = NULLPTR)
+      : Kernel(std::move(in_types), std::move(out_type), std::move(init)), exec(exec) {}
+
+  /// \brief Perform a single invocation of this kernel. Depending on the
+  /// implementation, it may only write into preallocated memory, while in some
+  /// cases it will allocate its own memory. Any required state is managed
+  /// through the KernelContext.
+  ArrayKernelExec exec;
+
+  /// \brief Writing execution results into larger contiguous allocations
+  /// requires that the kernel be able to write into sliced output ArrayData*,
+  /// including sliced output validity bitmaps. Some kernel implementations may
+  /// not be able to do this, so setting this to false disables this
+  /// functionality.
+  bool can_write_into_slices = true;
+
+  // For scalar functions preallocated data and intersecting arg validity
+  // bitmaps is a reasonable default
+  NullHandling::type null_handling = NullHandling::INTERSECTION;
+  MemAllocation::type mem_allocation = MemAllocation::PREALLOCATE;
+};
+
+// ----------------------------------------------------------------------
+// VectorKernel (for VectorFunction)
+
+/// \brief Kernel data structure for implementations of VectorFunction. In
+/// contains an optional finalizer function, the null handling and memory
+/// pre-allocation preferences (which have different defaults from
+/// ScalarKernel), and some other execution-related options.
+struct ARROW_EXPORT VectorKernel : public Kernel {
+  /// \brief See VectorKernel::finalize member for usage
+  using FinalizeFunc = std::function<Status(KernelContext*, std::vector<Datum>*)>;
+
+  /// \brief Function for executing a stateful VectorKernel against a
+  /// ChunkedArray input. Does not need to be defined for all VectorKernels
+  using ChunkedExec = Status (*)(KernelContext*, const ExecBatch&, Datum* out);
+
+  VectorKernel() = default;
+
+  VectorKernel(std::vector<InputType> in_types, OutputType out_type, ArrayKernelExec exec,
+               KernelInit init = NULLPTR, FinalizeFunc finalize = NULLPTR)
+      : Kernel(std::move(in_types), std::move(out_type), std::move(init)),
+        exec(exec),
+        finalize(std::move(finalize)) {}
+
+  VectorKernel(std::shared_ptr<KernelSignature> sig, ArrayKernelExec exec,
+               KernelInit init = NULLPTR, FinalizeFunc finalize = NULLPTR)
+      : Kernel(std::move(sig), std::move(init)),
+        exec(exec),
+        finalize(std::move(finalize)) {}
+
+  /// \brief Perform a single invocation of this kernel. Any required state is
+  /// managed through the KernelContext.
+  ArrayKernelExec exec;
+
+  /// \brief Execute the kernel on a ChunkedArray. Does not need to be defined
+  ChunkedExec exec_chunked = NULLPTR;
+
+  /// \brief For VectorKernel, convert intermediate results into finalized
+  /// results. Mutates input argument. Some kernels may accumulate state
+  /// (example: hashing-related functions) through processing chunked inputs, and
+  /// then need to attach some accumulated state to each of the outputs of
+  /// processing each chunk of data.
+  FinalizeFunc finalize;
+
+  /// Since vector kernels generally are implemented rather differently from
+  /// scalar/elementwise kernels (and they may not even yield arrays of the same
+  /// size), so we make the developer opt-in to any memory preallocation rather
+  /// than having to turn it off.
+  NullHandling::type null_handling = NullHandling::COMPUTED_NO_PREALLOCATE;
+  MemAllocation::type mem_allocation = MemAllocation::NO_PREALLOCATE;
+
+  /// \brief Writing execution results into larger contiguous allocations
+  /// requires that the kernel be able to write into sliced output ArrayData*,
+  /// including sliced output validity bitmaps. Some kernel implementations may
+  /// not be able to do this, so setting this to false disables this
+  /// functionality.
+  bool can_write_into_slices = true;
+
+  /// Some vector kernels can do chunkwise execution using ExecSpanIterator,
+  /// in some cases accumulating some state. Other kernels (like Take) need to
+  /// be passed whole arrays and don't work on ChunkedArray inputs
+  bool can_execute_chunkwise = true;
+
+  /// Some kernels (like unique and value_counts) yield non-chunked output from
+  /// chunked-array inputs. This option controls how the results are boxed when
+  /// returned from ExecVectorFunction
+  ///
+  /// true -> ChunkedArray
+  /// false -> Array
+  bool output_chunked = true;
+};
+
+// ----------------------------------------------------------------------
+// ScalarAggregateKernel (for ScalarAggregateFunction)
+
+using ScalarAggregateConsume = Status (*)(KernelContext*, const ExecSpan&);
+using ScalarAggregateMerge = Status (*)(KernelContext*, KernelState&&, KernelState*);
+// Finalize returns Datum to permit multiple return values
+using ScalarAggregateFinalize = Status (*)(KernelContext*, Datum*);
+
+/// \brief Kernel data structure for implementations of
+/// ScalarAggregateFunction. The four necessary components of an aggregation
+/// kernel are the init, consume, merge, and finalize functions.
+///
+/// * init: creates a new KernelState for a kernel.
+/// * consume: processes an ExecSpan and updates the KernelState found in the
+///   KernelContext.
+/// * merge: combines one KernelState with another.
+/// * finalize: produces the end result of the aggregation using the
+///   KernelState in the KernelContext.
+struct ARROW_EXPORT ScalarAggregateKernel : public Kernel {
+  ScalarAggregateKernel(std::shared_ptr<KernelSignature> sig, KernelInit init,
+                        ScalarAggregateConsume consume, ScalarAggregateMerge merge,
+                        ScalarAggregateFinalize finalize, const bool ordered)
+      : Kernel(std::move(sig), std::move(init)),
+        consume(consume),
+        merge(merge),
+        finalize(finalize),
+        ordered(ordered) {}
+
+  ScalarAggregateKernel(std::vector<InputType> in_types, OutputType out_type,
+                        KernelInit init, ScalarAggregateConsume consume,
+                        ScalarAggregateMerge merge, ScalarAggregateFinalize finalize,
+                        const bool ordered)
+      : ScalarAggregateKernel(
+            KernelSignature::Make(std::move(in_types), std::move(out_type)),
+            std::move(init), consume, merge, finalize, ordered) {}
+
+  /// \brief Merge a vector of KernelStates into a single KernelState.
+  /// The merged state will be returned and will be set on the KernelContext.
+  static Result<std::unique_ptr<KernelState>> MergeAll(
+      const ScalarAggregateKernel* kernel, KernelContext* ctx,
+      std::vector<std::unique_ptr<KernelState>> states);
+
+  ScalarAggregateConsume consume;
+  ScalarAggregateMerge merge;
+  ScalarAggregateFinalize finalize;
+  /// \brief Whether this kernel requires ordering
+  /// Some aggregations, such as, "first", requires some kind of input order. The
+  /// order can be implicit, e.g., the order of the input data, or explicit, e.g.
+  /// the ordering specified with a window aggregation.
+  /// The caller of the aggregate kernel is responsible for passing data in some
+  /// defined order to the kernel. The flag here is a way for the kernel to tell
+  /// the caller that data passed to the kernel must be defined in some order.
+  bool ordered = false;
+};
+
+// ----------------------------------------------------------------------
+// HashAggregateKernel (for HashAggregateFunction)
+
+using HashAggregateResize = Status (*)(KernelContext*, int64_t);
+using HashAggregateConsume = Status (*)(KernelContext*, const ExecSpan&);
+using HashAggregateMerge = Status (*)(KernelContext*, KernelState&&, const ArrayData&);
+
+// Finalize returns Datum to permit multiple return values
+using HashAggregateFinalize = Status (*)(KernelContext*, Datum*);
+
+/// \brief Kernel data structure for implementations of
+/// HashAggregateFunction. The four necessary components of an aggregation
+/// kernel are the init, consume, merge, and finalize functions.
+///
+/// * init: creates a new KernelState for a kernel.
+/// * resize: ensure that the KernelState can accommodate the specified number of groups.
+/// * consume: processes an ExecSpan (which includes the argument as well
+///   as an array of group identifiers) and updates the KernelState found in the
+///   KernelContext.
+/// * merge: combines one KernelState with another.
+/// * finalize: produces the end result of the aggregation using the
+///   KernelState in the KernelContext.
+struct ARROW_EXPORT HashAggregateKernel : public Kernel {
+  HashAggregateKernel() = default;
+
+  HashAggregateKernel(std::shared_ptr<KernelSignature> sig, KernelInit init,
+                      HashAggregateResize resize, HashAggregateConsume consume,
+                      HashAggregateMerge merge, HashAggregateFinalize finalize,
+                      const bool ordered)
+      : Kernel(std::move(sig), std::move(init)),
+        resize(resize),
+        consume(consume),
+        merge(merge),
+        finalize(finalize),
+        ordered(ordered) {}
+
+  HashAggregateKernel(std::vector<InputType> in_types, OutputType out_type,
+                      KernelInit init, HashAggregateConsume consume,
+                      HashAggregateResize resize, HashAggregateMerge merge,
+                      HashAggregateFinalize finalize, const bool ordered)
+      : HashAggregateKernel(
+            KernelSignature::Make(std::move(in_types), std::move(out_type)),
+            std::move(init), resize, consume, merge, finalize, ordered) {}
+
+  HashAggregateResize resize;
+  HashAggregateConsume consume;
+  HashAggregateMerge merge;
+  HashAggregateFinalize finalize;
+  /// @brief whether the summarizer requires ordering
+  /// This is similar to ScalarAggregateKernel. See ScalarAggregateKernel
+  /// for detailed doc of this variable.
+  bool ordered = false;
+};
+
+}  // namespace compute
+}  // namespace arrow

env-llmeval/lib/python3.10/site-packages/pyarrow/include/arrow/compute/key_hash.h

@@ -0,0 +1,223 @@
+// 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
+
+#if defined(ARROW_HAVE_RUNTIME_AVX2)
+#include <immintrin.h>
+#endif
+
+#include <cstdint>
+
+#include "arrow/compute/light_array.h"
+#include "arrow/compute/util.h"
+
+namespace arrow {
+namespace compute {
+
+// Forward declarations only needed for making test functions a friend of the classes in
+// this file.
+//
+enum class BloomFilterBuildStrategy;
+
+// Implementations are based on xxh3 32-bit algorithm description from:
+// https://github.com/Cyan4973/xxHash/blob/dev/doc/xxhash_spec.md
+//
+class ARROW_EXPORT Hashing32 {
+  friend class TestVectorHash;
+  template <typename T>
+  friend void TestBloomLargeHashHelper(int64_t, int64_t, const std::vector<uint64_t>&,
+                                       int64_t, int, T*);
+  friend void TestBloomSmall(BloomFilterBuildStrategy, int64_t, int, bool, bool);
+
+ public:
+  static void HashMultiColumn(const std::vector<KeyColumnArray>& cols, LightContext* ctx,
+                              uint32_t* out_hash);
+
+  static Status HashBatch(const ExecBatch& key_batch, uint32_t* hashes,
+                          std::vector<KeyColumnArray>& column_arrays,
+                          int64_t hardware_flags, util::TempVectorStack* temp_stack,
+                          int64_t start_row, int64_t num_rows);
+
+  static void HashFixed(int64_t hardware_flags, bool combine_hashes, uint32_t num_keys,
+                        uint64_t key_length, const uint8_t* keys, uint32_t* hashes,
+                        uint32_t* temp_hashes_for_combine);
+
+ private:
+  static const uint32_t PRIME32_1 = 0x9E3779B1;
+  static const uint32_t PRIME32_2 = 0x85EBCA77;
+  static const uint32_t PRIME32_3 = 0xC2B2AE3D;
+  static const uint32_t PRIME32_4 = 0x27D4EB2F;
+  static const uint32_t PRIME32_5 = 0x165667B1;
+  static const uint32_t kCombineConst = 0x9e3779b9UL;
+  static const int64_t kStripeSize = 4 * sizeof(uint32_t);
+
+  static void HashVarLen(int64_t hardware_flags, bool combine_hashes, uint32_t num_rows,
+                         const uint32_t* offsets, const uint8_t* concatenated_keys,
+                         uint32_t* hashes, uint32_t* temp_hashes_for_combine);
+
+  static void HashVarLen(int64_t hardware_flags, bool combine_hashes, uint32_t num_rows,
+                         const uint64_t* offsets, const uint8_t* concatenated_keys,
+                         uint32_t* hashes, uint32_t* temp_hashes_for_combine);
+
+  static inline uint32_t Avalanche(uint32_t acc) {
+    acc ^= (acc >> 15);
+    acc *= PRIME32_2;
+    acc ^= (acc >> 13);
+    acc *= PRIME32_3;
+    acc ^= (acc >> 16);
+    return acc;
+  }
+  static inline uint32_t Round(uint32_t acc, uint32_t input);
+  static inline uint32_t CombineAccumulators(uint32_t acc1, uint32_t acc2, uint32_t acc3,
+                                             uint32_t acc4);
+  static inline uint32_t CombineHashesImp(uint32_t previous_hash, uint32_t hash) {
+    uint32_t next_hash = previous_hash ^ (hash + kCombineConst + (previous_hash << 6) +
+                                          (previous_hash >> 2));
+    return next_hash;
+  }
+  static inline void ProcessFullStripes(uint64_t num_stripes, const uint8_t* key,
+                                        uint32_t* out_acc1, uint32_t* out_acc2,
+                                        uint32_t* out_acc3, uint32_t* out_acc4);
+  static inline void ProcessLastStripe(uint32_t mask1, uint32_t mask2, uint32_t mask3,
+                                       uint32_t mask4, const uint8_t* last_stripe,
+                                       uint32_t* acc1, uint32_t* acc2, uint32_t* acc3,
+                                       uint32_t* acc4);
+  static inline void StripeMask(int i, uint32_t* mask1, uint32_t* mask2, uint32_t* mask3,
+                                uint32_t* mask4);
+  template <bool T_COMBINE_HASHES>
+  static void HashFixedLenImp(uint32_t num_rows, uint64_t key_length, const uint8_t* keys,
+                              uint32_t* hashes);
+  template <typename T, bool T_COMBINE_HASHES>
+  static void HashVarLenImp(uint32_t num_rows, const T* offsets,
+                            const uint8_t* concatenated_keys, uint32_t* hashes);
+  template <bool T_COMBINE_HASHES>
+  static void HashBitImp(int64_t bit_offset, uint32_t num_keys, const uint8_t* keys,
+                         uint32_t* hashes);
+  static void HashBit(bool combine_hashes, int64_t bit_offset, uint32_t num_keys,
+                      const uint8_t* keys, uint32_t* hashes);
+  template <bool T_COMBINE_HASHES, typename T>
+  static void HashIntImp(uint32_t num_keys, const T* keys, uint32_t* hashes);
+  static void HashInt(bool combine_hashes, uint32_t num_keys, uint64_t key_length,
+                      const uint8_t* keys, uint32_t* hashes);
+
+#if defined(ARROW_HAVE_RUNTIME_AVX2)
+  static inline __m256i Avalanche_avx2(__m256i hash);
+  static inline __m256i CombineHashesImp_avx2(__m256i previous_hash, __m256i hash);
+  template <bool T_COMBINE_HASHES>
+  static void AvalancheAll_avx2(uint32_t num_rows, uint32_t* hashes,
+                                const uint32_t* hashes_temp_for_combine);
+  static inline __m256i Round_avx2(__m256i acc, __m256i input);
+  static inline uint64_t CombineAccumulators_avx2(__m256i acc);
+  static inline __m256i StripeMask_avx2(int i, int j);
+  template <bool two_equal_lengths>
+  static inline __m256i ProcessStripes_avx2(int64_t num_stripes_A, int64_t num_stripes_B,
+                                            __m256i mask_last_stripe, const uint8_t* keys,
+                                            int64_t offset_A, int64_t offset_B);
+  template <bool T_COMBINE_HASHES>
+  static uint32_t HashFixedLenImp_avx2(uint32_t num_rows, uint64_t key_length,
+                                       const uint8_t* keys, uint32_t* hashes,
+                                       uint32_t* hashes_temp_for_combine);
+  static uint32_t HashFixedLen_avx2(bool combine_hashes, uint32_t num_rows,
+                                    uint64_t key_length, const uint8_t* keys,
+                                    uint32_t* hashes, uint32_t* hashes_temp_for_combine);
+  template <typename T, bool T_COMBINE_HASHES>
+  static uint32_t HashVarLenImp_avx2(uint32_t num_rows, const T* offsets,
+                                     const uint8_t* concatenated_keys, uint32_t* hashes,
+                                     uint32_t* hashes_temp_for_combine);
+  static uint32_t HashVarLen_avx2(bool combine_hashes, uint32_t num_rows,
+                                  const uint32_t* offsets,
+                                  const uint8_t* concatenated_keys, uint32_t* hashes,
+                                  uint32_t* hashes_temp_for_combine);
+  static uint32_t HashVarLen_avx2(bool combine_hashes, uint32_t num_rows,
+                                  const uint64_t* offsets,
+                                  const uint8_t* concatenated_keys, uint32_t* hashes,
+                                  uint32_t* hashes_temp_for_combine);
+#endif
+};
+
+class ARROW_EXPORT Hashing64 {
+  friend class TestVectorHash;
+  template <typename T>
+  friend void TestBloomLargeHashHelper(int64_t, int64_t, const std::vector<uint64_t>&,
+                                       int64_t, int, T*);
+  friend void TestBloomSmall(BloomFilterBuildStrategy, int64_t, int, bool, bool);
+
+ public:
+  static void HashMultiColumn(const std::vector<KeyColumnArray>& cols, LightContext* ctx,
+                              uint64_t* hashes);
+
+  static Status HashBatch(const ExecBatch& key_batch, uint64_t* hashes,
+                          std::vector<KeyColumnArray>& column_arrays,
+                          int64_t hardware_flags, util::TempVectorStack* temp_stack,
+                          int64_t start_row, int64_t num_rows);
+
+  static void HashFixed(bool combine_hashes, uint32_t num_keys, uint64_t key_length,
+                        const uint8_t* keys, uint64_t* hashes);
+
+ private:
+  static const uint64_t PRIME64_1 = 0x9E3779B185EBCA87ULL;
+  static const uint64_t PRIME64_2 = 0xC2B2AE3D27D4EB4FULL;
+  static const uint64_t PRIME64_3 = 0x165667B19E3779F9ULL;
+  static const uint64_t PRIME64_4 = 0x85EBCA77C2B2AE63ULL;
+  static const uint64_t PRIME64_5 = 0x27D4EB2F165667C5ULL;
+  static const uint32_t kCombineConst = 0x9e3779b9UL;
+  static const int64_t kStripeSize = 4 * sizeof(uint64_t);
+
+  static void HashVarLen(bool combine_hashes, uint32_t num_rows, const uint32_t* offsets,
+                         const uint8_t* concatenated_keys, uint64_t* hashes);
+
+  static void HashVarLen(bool combine_hashes, uint32_t num_rows, const uint64_t* offsets,
+                         const uint8_t* concatenated_keys, uint64_t* hashes);
+
+  static inline uint64_t Avalanche(uint64_t acc);
+  static inline uint64_t Round(uint64_t acc, uint64_t input);
+  static inline uint64_t CombineAccumulators(uint64_t acc1, uint64_t acc2, uint64_t acc3,
+                                             uint64_t acc4);
+  static inline uint64_t CombineHashesImp(uint64_t previous_hash, uint64_t hash) {
+    uint64_t next_hash = previous_hash ^ (hash + kCombineConst + (previous_hash << 6) +
+                                          (previous_hash >> 2));
+    return next_hash;
+  }
+  static inline void ProcessFullStripes(uint64_t num_stripes, const uint8_t* key,
+                                        uint64_t* out_acc1, uint64_t* out_acc2,
+                                        uint64_t* out_acc3, uint64_t* out_acc4);
+  static inline void ProcessLastStripe(uint64_t mask1, uint64_t mask2, uint64_t mask3,
+                                       uint64_t mask4, const uint8_t* last_stripe,
+                                       uint64_t* acc1, uint64_t* acc2, uint64_t* acc3,
+                                       uint64_t* acc4);
+  static inline void StripeMask(int i, uint64_t* mask1, uint64_t* mask2, uint64_t* mask3,
+                                uint64_t* mask4);
+  template <bool T_COMBINE_HASHES>
+  static void HashFixedLenImp(uint32_t num_rows, uint64_t key_length, const uint8_t* keys,
+                              uint64_t* hashes);
+  template <typename T, bool T_COMBINE_HASHES>
+  static void HashVarLenImp(uint32_t num_rows, const T* offsets,
+                            const uint8_t* concatenated_keys, uint64_t* hashes);
+  template <bool T_COMBINE_HASHES>
+  static void HashBitImp(int64_t bit_offset, uint32_t num_keys, const uint8_t* keys,
+                         uint64_t* hashes);
+  static void HashBit(bool combine_hashes, int64_t bit_offset, uint32_t num_keys,
+                      const uint8_t* keys, uint64_t* hashes);
+  template <bool T_COMBINE_HASHES, typename T>
+  static void HashIntImp(uint32_t num_keys, const T* keys, uint64_t* hashes);
+  static void HashInt(bool combine_hashes, uint32_t num_keys, uint64_t key_length,
+                      const uint8_t* keys, uint64_t* hashes);
+};
+
+}  // namespace compute
+}  // namespace arrow

env-llmeval/lib/python3.10/site-packages/pyarrow/include/arrow/compute/key_map.h

@@ -0,0 +1,288 @@
+// 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 <cassert>
+#include <functional>
+
+#include "arrow/compute/util.h"
+#include "arrow/result.h"
+#include "arrow/status.h"
+#include "arrow/type_fwd.h"
+
+namespace arrow {
+namespace compute {
+
+// SwissTable is a variant of a hash table implementation.
+// This implementation is vectorized, that is: main interface methods take arrays of input
+// values and output arrays of result values.
+//
+// A detailed explanation of this data structure (including concepts such as blocks,
+// slots, stamps) and operations provided by this class is given in the document:
+// arrow/compute/exec/doc/key_map.md.
+//
+class ARROW_EXPORT SwissTable {
+  friend class SwissTableMerge;
+
+ public:
+  SwissTable() = default;
+  ~SwissTable() { cleanup(); }
+
+  using EqualImpl =
+      std::function<void(int num_keys, const uint16_t* selection /* may be null */,
+                         const uint32_t* group_ids, uint32_t* out_num_keys_mismatch,
+                         uint16_t* out_selection_mismatch, void* callback_ctx)>;
+  using AppendImpl =
+      std::function<Status(int num_keys, const uint16_t* selection, void* callback_ctx)>;
+
+  Status init(int64_t hardware_flags, MemoryPool* pool, int log_blocks = 0,
+              bool no_hash_array = false);
+
+  void cleanup();
+
+  void early_filter(const int num_keys, const uint32_t* hashes,
+                    uint8_t* out_match_bitvector, uint8_t* out_local_slots) const;
+
+  void find(const int num_keys, const uint32_t* hashes, uint8_t* inout_match_bitvector,
+            const uint8_t* local_slots, uint32_t* out_group_ids,
+            util::TempVectorStack* temp_stack, const EqualImpl& equal_impl,
+            void* callback_ctx) const;
+
+  Status map_new_keys(uint32_t num_ids, uint16_t* ids, const uint32_t* hashes,
+                      uint32_t* group_ids, util::TempVectorStack* temp_stack,
+                      const EqualImpl& equal_impl, const AppendImpl& append_impl,
+                      void* callback_ctx);
+
+  int minibatch_size() const { return 1 << log_minibatch_; }
+
+  uint32_t num_inserted() const { return num_inserted_; }
+
+  int64_t hardware_flags() const { return hardware_flags_; }
+
+  MemoryPool* pool() const { return pool_; }
+
+  int log_blocks() const { return log_blocks_; }
+
+  void num_inserted(uint32_t i) { num_inserted_ = i; }
+
+  uint8_t* blocks() const { return blocks_->mutable_data(); }
+
+  uint32_t* hashes() const {
+    return reinterpret_cast<uint32_t*>(hashes_->mutable_data());
+  }
+
+  /// \brief Extract group id for a given slot in a given block.
+  ///
+  inline uint64_t extract_group_id(const uint8_t* block_ptr, int slot,
+                                   uint64_t group_id_mask) const;
+
+  inline void insert_into_empty_slot(uint32_t slot_id, uint32_t hash, uint32_t group_id);
+
+  static int num_groupid_bits_from_log_blocks(int log_blocks) {
+    int required_bits = log_blocks + 3;
+    return required_bits <= 8    ? 8
+           : required_bits <= 16 ? 16
+           : required_bits <= 32 ? 32
+                                 : 64;
+  }
+
+  // Use 32-bit hash for now
+  static constexpr int bits_hash_ = 32;
+
+ private:
+  // Lookup helpers
+
+  /// \brief Scan bytes in block in reverse and stop as soon
+  /// as a position of interest is found.
+  ///
+  /// Positions of interest:
+  /// a) slot with a matching stamp is encountered,
+  /// b) first empty slot is encountered,
+  /// c) we reach the end of the block.
+  ///
+  /// Optionally an index of the first slot to start the search from can be specified.
+  /// In this case slots before it will be ignored.
+  ///
+  /// \param[in] block 8 byte block of hash table
+  /// \param[in] stamp 7 bits of hash used as a stamp
+  /// \param[in] start_slot Index of the first slot in the block to start search from.  We
+  ///            assume that this index always points to a non-empty slot, equivalently
+  ///            that it comes before any empty slots.  (Used only by one template
+  ///            variant.)
+  /// \param[out] out_slot index corresponding to the discovered position of interest (8
+  ///            represents end of block).
+  /// \param[out] out_match_found an integer flag (0 or 1) indicating if we reached an
+  /// empty slot (0) or not (1). Therefore 1 can mean that either actual match was found
+  /// (case a) above) or we reached the end of full block (case b) above).
+  ///
+  template <bool use_start_slot>
+  inline void search_block(uint64_t block, int stamp, int start_slot, int* out_slot,
+                           int* out_match_found) const;
+
+  void extract_group_ids(const int num_keys, const uint16_t* optional_selection,
+                         const uint32_t* hashes, const uint8_t* local_slots,
+                         uint32_t* out_group_ids) const;
+
+  template <typename T, bool use_selection>
+  void extract_group_ids_imp(const int num_keys, const uint16_t* selection,
+                             const uint32_t* hashes, const uint8_t* local_slots,
+                             uint32_t* out_group_ids, int elements_offset,
+                             int element_multiplier) const;
+
+  inline uint64_t next_slot_to_visit(uint64_t block_index, int slot,
+                                     int match_found) const;
+
+  inline uint64_t num_groups_for_resize() const;
+
+  inline uint64_t wrap_global_slot_id(uint64_t global_slot_id) const;
+
+  void init_slot_ids(const int num_keys, const uint16_t* selection,
+                     const uint32_t* hashes, const uint8_t* local_slots,
+                     const uint8_t* match_bitvector, uint32_t* out_slot_ids) const;
+
+  void init_slot_ids_for_new_keys(uint32_t num_ids, const uint16_t* ids,
+                                  const uint32_t* hashes, uint32_t* slot_ids) const;
+
+  // Quickly filter out keys that have no matches based only on hash value and the
+  // corresponding starting 64-bit block of slot status bytes. May return false positives.
+  //
+  void early_filter_imp(const int num_keys, const uint32_t* hashes,
+                        uint8_t* out_match_bitvector, uint8_t* out_local_slots) const;
+#if defined(ARROW_HAVE_RUNTIME_AVX2) && defined(ARROW_HAVE_RUNTIME_BMI2)
+  // The functions below use BMI2 instructions, be careful before calling!
+  int early_filter_imp_avx2_x8(const int num_hashes, const uint32_t* hashes,
+                               uint8_t* out_match_bitvector,
+                               uint8_t* out_local_slots) const;
+  int early_filter_imp_avx2_x32(const int num_hashes, const uint32_t* hashes,
+                                uint8_t* out_match_bitvector,
+                                uint8_t* out_local_slots) const;
+  int extract_group_ids_avx2(const int num_keys, const uint32_t* hashes,
+                             const uint8_t* local_slots, uint32_t* out_group_ids,
+                             int byte_offset, int byte_multiplier, int byte_size) const;
+#endif
+
+  void run_comparisons(const int num_keys, const uint16_t* optional_selection_ids,
+                       const uint8_t* optional_selection_bitvector,
+                       const uint32_t* groupids, int* out_num_not_equal,
+                       uint16_t* out_not_equal_selection, const EqualImpl& equal_impl,
+                       void* callback_ctx) const;
+
+  inline bool find_next_stamp_match(const uint32_t hash, const uint32_t in_slot_id,
+                                    uint32_t* out_slot_id, uint32_t* out_group_id) const;
+
+  // Slow processing of input keys in the most generic case.
+  // Handles inserting new keys.
+  // Preexisting keys will be handled correctly, although the intended use is for this
+  // call to follow a call to find() method, which would only pass on new keys that were
+  // not present in the hash table.
+  //
+  Status map_new_keys_helper(const uint32_t* hashes, uint32_t* inout_num_selected,
+                             uint16_t* inout_selection, bool* out_need_resize,
+                             uint32_t* out_group_ids, uint32_t* out_next_slot_ids,
+                             util::TempVectorStack* temp_stack,
+                             const EqualImpl& equal_impl, const AppendImpl& append_impl,
+                             void* callback_ctx);
+
+  // Resize small hash tables when 50% full (up to 8KB).
+  // Resize large hash tables when 75% full.
+  Status grow_double();
+
+  // Number of hash bits stored in slots in a block.
+  // The highest bits of hash determine block id.
+  // The next set of highest bits is a "stamp" stored in a slot in a block.
+  static constexpr int bits_stamp_ = 7;
+
+  // Padding bytes added at the end of buffers for ease of SIMD access
+  static constexpr int padding_ = 64;
+
+  int log_minibatch_;
+  // Base 2 log of the number of blocks
+  int log_blocks_ = 0;
+  // Number of keys inserted into hash table
+  uint32_t num_inserted_ = 0;
+
+  // Data for blocks.
+  // Each block has 8 status bytes for 8 slots, followed by 8 bit packed group ids for
+  // these slots. In 8B status word, the order of bytes is reversed. Group ids are in
+  // normal order. There is 64B padding at the end.
+  //
+  // 0 byte - 7 bucket | 1. byte - 6 bucket | ...
+  // ---------------------------------------------------
+  // |     Empty bit*   |    Empty bit       |
+  // ---------------------------------------------------
+  // |   7-bit hash    |    7-bit hash      |
+  // ---------------------------------------------------
+  // * Empty bucket has value 0x80. Non-empty bucket has highest bit set to 0.
+  //
+  std::shared_ptr<Buffer> blocks_;
+
+  // Array of hashes of values inserted into slots.
+  // Undefined if the corresponding slot is empty.
+  // There is 64B padding at the end.
+  std::shared_ptr<Buffer> hashes_;
+
+  int64_t hardware_flags_;
+  MemoryPool* pool_;
+};
+
+uint64_t SwissTable::extract_group_id(const uint8_t* block_ptr, int slot,
+                                      uint64_t group_id_mask) const {
+  // Group id values for all 8 slots in the block are bit-packed and follow the status
+  // bytes. We assume here that the number of bits is rounded up to 8, 16, 32 or 64. In
+  // that case we can extract group id using aligned 64-bit word access.
+  int num_group_id_bits = static_cast<int>(ARROW_POPCOUNT64(group_id_mask));
+  assert(num_group_id_bits == 8 || num_group_id_bits == 16 || num_group_id_bits == 32 ||
+         num_group_id_bits == 64);
+
+  int bit_offset = slot * num_group_id_bits;
+  const uint64_t* group_id_bytes =
+      reinterpret_cast<const uint64_t*>(block_ptr) + 1 + (bit_offset >> 6);
+  uint64_t group_id = (*group_id_bytes >> (bit_offset & 63)) & group_id_mask;
+
+  return group_id;
+}
+
+void SwissTable::insert_into_empty_slot(uint32_t slot_id, uint32_t hash,
+                                        uint32_t group_id) {
+  const uint64_t num_groupid_bits = num_groupid_bits_from_log_blocks(log_blocks_);
+
+  // We assume here that the number of bits is rounded up to 8, 16, 32 or 64.
+  // In that case we can insert group id value using aligned 64-bit word access.
+  assert(num_groupid_bits == 8 || num_groupid_bits == 16 || num_groupid_bits == 32 ||
+         num_groupid_bits == 64);
+
+  const uint64_t num_block_bytes = (8 + num_groupid_bits);
+  constexpr uint64_t stamp_mask = 0x7f;
+
+  int start_slot = (slot_id & 7);
+  int stamp =
+      static_cast<int>((hash >> (bits_hash_ - log_blocks_ - bits_stamp_)) & stamp_mask);
+  uint64_t block_id = slot_id >> 3;
+  uint8_t* blockbase = blocks_->mutable_data() + num_block_bytes * block_id;
+
+  blockbase[7 - start_slot] = static_cast<uint8_t>(stamp);
+  int groupid_bit_offset = static_cast<int>(start_slot * num_groupid_bits);
+
+  // Block status bytes should start at an address aligned to 8 bytes
+  assert((reinterpret_cast<uint64_t>(blockbase) & 7) == 0);
+  uint64_t* ptr = reinterpret_cast<uint64_t*>(blockbase) + 1 + (groupid_bit_offset >> 6);
+  *ptr |= (static_cast<uint64_t>(group_id) << (groupid_bit_offset & 63));
+}
+
+}  // namespace compute
+}  // namespace arrow

env-llmeval/lib/python3.10/site-packages/pyarrow/include/arrow/compute/light_array.h

@@ -0,0 +1,451 @@
+// 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 "arrow/array.h"
+#include "arrow/compute/exec.h"
+#include "arrow/compute/util.h"
+#include "arrow/type.h"
+#include "arrow/util/cpu_info.h"
+#include "arrow/util/logging.h"
+
+/// This file contains lightweight containers for Arrow buffers.  These containers
+/// makes compromises in terms of strong ownership and the range of data types supported
+/// in order to gain performance and reduced overhead.
+
+namespace arrow {
+namespace compute {
+
+/// \brief Context needed by various execution engine operations
+///
+/// In the execution engine this context is provided by either the node or the
+/// plan and the context exists for the lifetime of the plan.  Defining this here
+/// allows us to take advantage of these resources without coupling the logic with
+/// the execution engine.
+struct LightContext {
+  bool has_avx2() const { return (hardware_flags & arrow::internal::CpuInfo::AVX2) > 0; }
+  int64_t hardware_flags;
+  util::TempVectorStack* stack;
+};
+
+/// \brief Description of the layout of a "key" column
+///
+/// A "key" column is a non-nested, non-union column.
+/// Every key column has either 0 (null), 2 (e.g. int32) or 3 (e.g. string) buffers
+/// and no children.
+///
+/// This metadata object is a zero-allocation analogue of arrow::DataType
+struct ARROW_EXPORT KeyColumnMetadata {
+  KeyColumnMetadata() = default;
+  KeyColumnMetadata(bool is_fixed_length_in, uint32_t fixed_length_in,
+                    bool is_null_type_in = false)
+      : is_fixed_length(is_fixed_length_in),
+        is_null_type(is_null_type_in),
+        fixed_length(fixed_length_in) {}
+  /// \brief True if the column is not a varying-length binary type
+  ///
+  /// If this is true the column will have a validity buffer and
+  /// a data buffer and the third buffer will be unused.
+  bool is_fixed_length;
+  /// \brief True if this column is the null type
+  bool is_null_type;
+  /// \brief The number of bytes for each item
+  ///
+  /// Zero has a special meaning, indicating a bit vector with one bit per value if it
+  /// isn't a null type column.
+  ///
+  /// For a varying-length binary column this represents the number of bytes per offset.
+  uint32_t fixed_length;
+};
+
+/// \brief A lightweight view into a "key" array
+///
+/// A "key" column is a non-nested, non-union column \see KeyColumnMetadata
+///
+/// This metadata object is a zero-allocation analogue of arrow::ArrayData
+class ARROW_EXPORT KeyColumnArray {
+ public:
+  /// \brief Create an uninitialized KeyColumnArray
+  KeyColumnArray() = default;
+  /// \brief Create a read-only view from buffers
+  ///
+  /// This is a view only and does not take ownership of the buffers.  The lifetime
+  /// of the buffers must exceed the lifetime of this view
+  KeyColumnArray(const KeyColumnMetadata& metadata, int64_t length,
+                 const uint8_t* validity_buffer, const uint8_t* fixed_length_buffer,
+                 const uint8_t* var_length_buffer, int bit_offset_validity = 0,
+                 int bit_offset_fixed = 0);
+  /// \brief Create a mutable view from buffers
+  ///
+  /// This is a view only and does not take ownership of the buffers.  The lifetime
+  /// of the buffers must exceed the lifetime of this view
+  KeyColumnArray(const KeyColumnMetadata& metadata, int64_t length,
+                 uint8_t* validity_buffer, uint8_t* fixed_length_buffer,
+                 uint8_t* var_length_buffer, int bit_offset_validity = 0,
+                 int bit_offset_fixed = 0);
+  /// \brief Create a sliced view of `this`
+  ///
+  /// The number of rows used in offset must be divisible by 8
+  /// in order to not split bit vectors within a single byte.
+  KeyColumnArray Slice(int64_t offset, int64_t length) const;
+  /// \brief Create a copy of `this` with a buffer from `other`
+  ///
+  /// The copy will be identical to `this` except the buffer at buffer_id_to_replace
+  /// will be replaced by the corresponding buffer in `other`.
+  KeyColumnArray WithBufferFrom(const KeyColumnArray& other,
+                                int buffer_id_to_replace) const;
+
+  /// \brief Create a copy of `this` with new metadata
+  KeyColumnArray WithMetadata(const KeyColumnMetadata& metadata) const;
+
+  // Constants used for accessing buffers using data() and mutable_data().
+  static constexpr int kValidityBuffer = 0;
+  static constexpr int kFixedLengthBuffer = 1;
+  static constexpr int kVariableLengthBuffer = 2;
+
+  /// \brief Return one of the underlying mutable buffers
+  uint8_t* mutable_data(int i) {
+    ARROW_DCHECK(i >= 0 && i < kMaxBuffers);
+    return mutable_buffers_[i];
+  }
+  /// \brief Return one of the underlying read-only buffers
+  const uint8_t* data(int i) const {
+    ARROW_DCHECK(i >= 0 && i < kMaxBuffers);
+    return buffers_[i];
+  }
+  /// \brief Return a mutable version of the offsets buffer
+  ///
+  /// Only valid if this is a view into a varbinary type
+  uint32_t* mutable_offsets() {
+    DCHECK(!metadata_.is_fixed_length);
+    DCHECK_EQ(metadata_.fixed_length, sizeof(uint32_t));
+    return reinterpret_cast<uint32_t*>(mutable_data(kFixedLengthBuffer));
+  }
+  /// \brief Return a read-only version of the offsets buffer
+  ///
+  /// Only valid if this is a view into a varbinary type
+  const uint32_t* offsets() const {
+    DCHECK(!metadata_.is_fixed_length);
+    DCHECK_EQ(metadata_.fixed_length, sizeof(uint32_t));
+    return reinterpret_cast<const uint32_t*>(data(kFixedLengthBuffer));
+  }
+  /// \brief Return a mutable version of the large-offsets buffer
+  ///
+  /// Only valid if this is a view into a large varbinary type
+  uint64_t* mutable_large_offsets() {
+    DCHECK(!metadata_.is_fixed_length);
+    DCHECK_EQ(metadata_.fixed_length, sizeof(uint64_t));
+    return reinterpret_cast<uint64_t*>(mutable_data(kFixedLengthBuffer));
+  }
+  /// \brief Return a read-only version of the large-offsets buffer
+  ///
+  /// Only valid if this is a view into a large varbinary type
+  const uint64_t* large_offsets() const {
+    DCHECK(!metadata_.is_fixed_length);
+    DCHECK_EQ(metadata_.fixed_length, sizeof(uint64_t));
+    return reinterpret_cast<const uint64_t*>(data(kFixedLengthBuffer));
+  }
+  /// \brief Return the type metadata
+  const KeyColumnMetadata& metadata() const { return metadata_; }
+  /// \brief Return the length (in rows) of the array
+  int64_t length() const { return length_; }
+  /// \brief Return the bit offset into the corresponding vector
+  ///
+  /// if i == 1 then this must be a bool array
+  int bit_offset(int i) const {
+    ARROW_DCHECK(i >= 0 && i < kMaxBuffers);
+    return bit_offset_[i];
+  }
+
+ private:
+  static constexpr int kMaxBuffers = 3;
+  const uint8_t* buffers_[kMaxBuffers];
+  uint8_t* mutable_buffers_[kMaxBuffers];
+  KeyColumnMetadata metadata_;
+  int64_t length_;
+  // Starting bit offset within the first byte (between 0 and 7)
+  // to be used when accessing buffers that store bit vectors.
+  int bit_offset_[kMaxBuffers - 1];
+
+  bool is_bool_type() const {
+    return metadata_.is_fixed_length && metadata_.fixed_length == 0 &&
+           !metadata_.is_null_type;
+  }
+
+  bool is_fixed_width_types() const {
+    return metadata_.is_fixed_length && metadata_.fixed_length != 0 &&
+           !metadata_.is_null_type;
+  }
+
+  bool is_binary_type() const {
+    return !metadata_.is_fixed_length && metadata_.fixed_length == sizeof(uint32_t) &&
+           !metadata_.is_null_type;
+  }
+
+  bool is_large_binary_type() const {
+    return !metadata_.is_fixed_length && metadata_.fixed_length == sizeof(uint64_t) &&
+           !metadata_.is_null_type;
+  }
+
+  bool is_null_type() const {
+    return metadata_.is_fixed_length && metadata_.fixed_length == 0 &&
+           metadata_.is_null_type;
+  }
+};
+
+/// \brief Create KeyColumnMetadata from a DataType
+///
+/// If `type` is a dictionary type then this will return the KeyColumnMetadata for
+/// the indices type
+///
+/// This should only be called on "key" columns.  Calling this with
+/// a non-key column will return Status::TypeError.
+ARROW_EXPORT Result<KeyColumnMetadata> ColumnMetadataFromDataType(
+    const std::shared_ptr<DataType>& type);
+
+/// \brief Create KeyColumnArray from ArrayData
+///
+/// If `type` is a dictionary type then this will return the KeyColumnArray for
+/// the indices array
+///
+/// The caller should ensure this is only called on "key" columns.
+/// \see ColumnMetadataFromDataType for details
+ARROW_EXPORT Result<KeyColumnArray> ColumnArrayFromArrayData(
+    const std::shared_ptr<ArrayData>& array_data, int64_t start_row, int64_t num_rows);
+
+/// \brief Create KeyColumnArray from ArrayData and KeyColumnMetadata
+///
+/// If `type` is a dictionary type then this will return the KeyColumnArray for
+/// the indices array
+///
+/// The caller should ensure this is only called on "key" columns.
+/// \see ColumnMetadataFromDataType for details
+ARROW_EXPORT KeyColumnArray ColumnArrayFromArrayDataAndMetadata(
+    const std::shared_ptr<ArrayData>& array_data, const KeyColumnMetadata& metadata,
+    int64_t start_row, int64_t num_rows);
+
+/// \brief Create KeyColumnMetadata instances from an ExecBatch
+///
+/// column_metadatas will be resized to fit
+///
+/// All columns in `batch` must be eligible "key" columns and have an array shape
+/// \see ColumnMetadataFromDataType for more details
+ARROW_EXPORT Status ColumnMetadatasFromExecBatch(
+    const ExecBatch& batch, std::vector<KeyColumnMetadata>* column_metadatas);
+
+/// \brief Create KeyColumnArray instances from a slice of an ExecBatch
+///
+/// column_arrays will be resized to fit
+///
+/// All columns in `batch` must be eligible "key" columns and have an array shape
+/// \see ColumnArrayFromArrayData for more details
+ARROW_EXPORT Status ColumnArraysFromExecBatch(const ExecBatch& batch, int64_t start_row,
+                                              int64_t num_rows,
+                                              std::vector<KeyColumnArray>* column_arrays);
+
+/// \brief Create KeyColumnArray instances from an ExecBatch
+///
+/// column_arrays will be resized to fit
+///
+/// All columns in `batch` must be eligible "key" columns and have an array shape
+/// \see ColumnArrayFromArrayData for more details
+ARROW_EXPORT Status ColumnArraysFromExecBatch(const ExecBatch& batch,
+                                              std::vector<KeyColumnArray>* column_arrays);
+
+/// A lightweight resizable array for "key" columns
+///
+/// Unlike KeyColumnArray this instance owns its buffers
+///
+/// Resizing is handled by arrow::ResizableBuffer and a doubling approach is
+/// used so that resizes will always grow up to the next power of 2
+class ARROW_EXPORT ResizableArrayData {
+ public:
+  /// \brief Create an uninitialized instance
+  ///
+  /// Init must be called before calling any other operations
+  ResizableArrayData()
+      : log_num_rows_min_(0),
+        pool_(NULLPTR),
+        num_rows_(0),
+        num_rows_allocated_(0),
+        var_len_buf_size_(0) {}
+
+  ~ResizableArrayData() { Clear(true); }
+
+  /// \brief Initialize the array
+  /// \param data_type The data type this array is holding data for.
+  /// \param pool The pool to make allocations on
+  /// \param log_num_rows_min All resize operations will allocate at least enough
+  ///                         space for (1 << log_num_rows_min) rows
+  void Init(const std::shared_ptr<DataType>& data_type, MemoryPool* pool,
+            int log_num_rows_min);
+
+  /// \brief Resets the array back to an empty state
+  /// \param release_buffers If true then allocated memory is released and the
+  ///                        next resize operation will have to reallocate memory
+  void Clear(bool release_buffers);
+
+  /// \brief Resize the fixed length buffers
+  ///
+  /// The buffers will be resized to hold at least `num_rows_new` rows of data
+  Status ResizeFixedLengthBuffers(int num_rows_new);
+
+  /// \brief Resize the varying length buffer if this array is a variable binary type
+  ///
+  /// This must be called after offsets have been populated and the buffer will be
+  /// resized to hold at least as much data as the offsets require
+  ///
+  /// Does nothing if the array is not a variable binary type
+  Status ResizeVaryingLengthBuffer();
+
+  /// \brief The current length (in rows) of the array
+  int num_rows() const { return num_rows_; }
+
+  /// \brief A non-owning view into this array
+  KeyColumnArray column_array() const;
+
+  /// \brief A lightweight descriptor of the data held by this array
+  Result<KeyColumnMetadata> column_metadata() const {
+    return ColumnMetadataFromDataType(data_type_);
+  }
+
+  /// \brief Convert the data to an arrow::ArrayData
+  ///
+  /// This is a zero copy operation and the created ArrayData will reference the
+  /// buffers held by this instance.
+  std::shared_ptr<ArrayData> array_data() const;
+
+  // Constants used for accessing buffers using mutable_data().
+  static constexpr int kValidityBuffer = 0;
+  static constexpr int kFixedLengthBuffer = 1;
+  static constexpr int kVariableLengthBuffer = 2;
+
+  /// \brief A raw pointer to the requested buffer
+  ///
+  /// If i is 0 (kValidityBuffer) then this returns the validity buffer
+  /// If i is 1 (kFixedLengthBuffer) then this returns the buffer used for values (if this
+  /// is a fixed length data type) or offsets (if this is a variable binary type)
+  /// If i is 2 (kVariableLengthBuffer) then this returns the buffer used for variable
+  /// length binary data
+  uint8_t* mutable_data(int i) { return buffers_[i]->mutable_data(); }
+
+ private:
+  static constexpr int64_t kNumPaddingBytes = 64;
+  int log_num_rows_min_;
+  std::shared_ptr<DataType> data_type_;
+  MemoryPool* pool_;
+  int num_rows_;
+  int num_rows_allocated_;
+  int64_t var_len_buf_size_;
+  static constexpr int kMaxBuffers = 3;
+  std::shared_ptr<ResizableBuffer> buffers_[kMaxBuffers];
+};
+
+/// \brief A builder to concatenate batches of data into a larger batch
+///
+/// Will only store num_rows_max() rows
+class ARROW_EXPORT ExecBatchBuilder {
+ public:
+  /// \brief Add rows from `source` into `target` column
+  ///
+  /// If `target` is uninitialized or cleared it will be initialized to use
+  /// the given pool.
+  static Status AppendSelected(const std::shared_ptr<ArrayData>& source,
+                               ResizableArrayData* target, int num_rows_to_append,
+                               const uint16_t* row_ids, MemoryPool* pool);
+
+  /// \brief Add nulls into `target` column
+  ///
+  /// If `target` is uninitialized or cleared it will be initialized to use
+  /// the given pool.
+  static Status AppendNulls(const std::shared_ptr<DataType>& type,
+                            ResizableArrayData& target, int num_rows_to_append,
+                            MemoryPool* pool);
+
+  /// \brief Add selected rows from `batch`
+  ///
+  /// If `col_ids` is null then `num_cols` should less than batch.num_values() and
+  /// the first `num_cols` columns of batch will be appended.
+  ///
+  /// All columns in `batch` must have array shape
+  Status AppendSelected(MemoryPool* pool, const ExecBatch& batch, int num_rows_to_append,
+                        const uint16_t* row_ids, int num_cols,
+                        const int* col_ids = NULLPTR);
+
+  /// \brief Add all-null rows
+  Status AppendNulls(MemoryPool* pool,
+                     const std::vector<std::shared_ptr<DataType>>& types,
+                     int num_rows_to_append);
+
+  /// \brief Create an ExecBatch with the data that has been appended so far
+  ///        and clear this builder to be used again
+  ///
+  /// Should only be called if num_rows() returns non-zero.
+  ExecBatch Flush();
+
+  int num_rows() const { return values_.empty() ? 0 : values_[0].num_rows(); }
+
+  static int num_rows_max() { return 1 << kLogNumRows; }
+
+ private:
+  static constexpr int kLogNumRows = 15;
+
+  // Calculate how many rows to skip from the tail of the
+  // sequence of selected rows, such that the total size of skipped rows is at
+  // least equal to the size specified by the caller.
+  //
+  // Skipping of the tail rows
+  // is used to allow for faster processing by the caller of remaining rows
+  // without checking buffer bounds (useful with SIMD or fixed size memory loads
+  // and stores).
+  //
+  // The sequence of row_ids provided must be non-decreasing. In case of consecutive rows
+  // with the same row id, they are skipped all at once because they occupy the same
+  // space.
+  //
+  static int NumRowsToSkip(const std::shared_ptr<ArrayData>& column, int num_rows,
+                           const uint16_t* row_ids, int num_tail_bytes_to_skip);
+
+  // The supplied lambda will be called for each row in the given list of rows.
+  // The arguments given to it will be:
+  // - index of a row (within the set of selected rows),
+  // - pointer to the value,
+  // - byte length of the value.
+  //
+  // The information about nulls (validity bitmap) is not used in this call and
+  // has to be processed separately.
+  //
+  template <class PROCESS_VALUE_FN>
+  static void Visit(const std::shared_ptr<ArrayData>& column, int num_rows,
+                    const uint16_t* row_ids, PROCESS_VALUE_FN process_value_fn);
+
+  template <bool OUTPUT_BYTE_ALIGNED>
+  static void CollectBitsImp(const uint8_t* input_bits, int64_t input_bits_offset,
+                             uint8_t* output_bits, int64_t output_bits_offset,
+                             int num_rows, const uint16_t* row_ids);
+  static void CollectBits(const uint8_t* input_bits, int64_t input_bits_offset,
+                          uint8_t* output_bits, int64_t output_bits_offset, int num_rows,
+                          const uint16_t* row_ids);
+
+  std::vector<ResizableArrayData> values_;
+};
+
+}  // namespace compute
+}  // namespace arrow

env-llmeval/lib/python3.10/site-packages/pyarrow/include/arrow/compute/ordering.h

@@ -0,0 +1,120 @@
+// 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 <string>
+#include <vector>
+
+#include "arrow/type.h"
+#include "arrow/util/compare.h"
+#include "arrow/util/visibility.h"
+
+namespace arrow {
+namespace compute {
+
+enum class SortOrder {
+  /// Arrange values in increasing order
+  Ascending,
+  /// Arrange values in decreasing order
+  Descending,
+};
+
+enum class NullPlacement {
+  /// Place nulls and NaNs before any non-null values.
+  /// NaNs will come after nulls.
+  AtStart,
+  /// Place nulls and NaNs after any non-null values.
+  /// NaNs will come before nulls.
+  AtEnd,
+};
+
+/// \brief One sort key for PartitionNthIndices (TODO) and SortIndices
+class ARROW_EXPORT SortKey : public util::EqualityComparable<SortKey> {
+ public:
+  explicit SortKey(FieldRef target, SortOrder order = SortOrder::Ascending)
+      : target(std::move(target)), order(order) {}
+
+  bool Equals(const SortKey& other) const;
+  std::string ToString() const;
+
+  /// A FieldRef targeting the sort column.
+  FieldRef target;
+  /// How to order by this sort key.
+  SortOrder order;
+};
+
+class ARROW_EXPORT Ordering : public util::EqualityComparable<Ordering> {
+ public:
+  Ordering(std::vector<SortKey> sort_keys,
+           NullPlacement null_placement = NullPlacement::AtStart)
+      : sort_keys_(std::move(sort_keys)), null_placement_(null_placement) {}
+  /// true if data ordered by other is also ordered by this
+  ///
+  /// For example, if data is ordered by [a, b, c] then it is also ordered
+  /// by [a, b] but not by [b, c] or [a, b, c, d].
+  ///
+  /// [a, b].IsSuborderOf([a, b, c]) - true
+  /// [a, b, c].IsSuborderOf([a, b, c]) - true
+  /// [b, c].IsSuborderOf([a, b, c]) - false
+  /// [a, b, c, d].IsSuborderOf([a, b, c]) - false
+  ///
+  /// The implicit ordering is not a suborder of any other ordering and
+  /// no other ordering is a suborder of it.  The implicit ordering is not a
+  /// suborder of itself.
+  ///
+  /// The unordered ordering is a suborder of all other orderings but no
+  /// other ordering is a suborder of it.  The unordered ordering is a suborder
+  /// of itself.
+  ///
+  /// The unordered ordering is a suborder of the implicit ordering.
+  bool IsSuborderOf(const Ordering& other) const;
+
+  bool Equals(const Ordering& other) const;
+  std::string ToString() const;
+
+  bool is_implicit() const { return is_implicit_; }
+  bool is_unordered() const { return !is_implicit_ && sort_keys_.empty(); }
+
+  const std::vector<SortKey>& sort_keys() const { return sort_keys_; }
+  NullPlacement null_placement() const { return null_placement_; }
+
+  static const Ordering& Implicit() {
+    static const Ordering kImplicit(true);
+    return kImplicit;
+  }
+
+  static const Ordering& Unordered() {
+    static const Ordering kUnordered(false);
+    // It is also possible to get an unordered ordering by passing in an empty vector
+    // using the normal constructor.  This is ok and useful when ordering comes from user
+    // input.
+    return kUnordered;
+  }
+
+ private:
+  explicit Ordering(bool is_implicit)
+      : null_placement_(NullPlacement::AtStart), is_implicit_(is_implicit) {}
+  /// Column key(s) to order by and how to order by these sort keys.
+  std::vector<SortKey> sort_keys_;
+  /// Whether nulls and NaNs are placed at the start or at the end
+  NullPlacement null_placement_;
+  bool is_implicit_ = false;
+};
+
+}  // namespace compute
+}  // namespace arrow

env-llmeval/lib/python3.10/site-packages/pyarrow/include/arrow/compute/registry.h

@@ -0,0 +1,121 @@
+// 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.
+
+// NOTE: API is EXPERIMENTAL and will change without going through a
+// deprecation cycle
+
+#pragma once
+
+#include <memory>
+#include <string>
+#include <vector>
+
+#include "arrow/result.h"
+#include "arrow/status.h"
+#include "arrow/util/visibility.h"
+
+namespace arrow {
+namespace compute {
+
+class Function;
+class FunctionOptionsType;
+
+/// \brief A mutable central function registry for built-in functions as well
+/// as user-defined functions. Functions are implementations of
+/// arrow::compute::Function.
+///
+/// Generally, each function contains kernels which are implementations of a
+/// function for a specific argument signature. After looking up a function in
+/// the registry, one can either execute it eagerly with Function::Execute or
+/// use one of the function's dispatch methods to pick a suitable kernel for
+/// lower-level function execution.
+class ARROW_EXPORT FunctionRegistry {
+ public:
+  ~FunctionRegistry();
+
+  /// \brief Construct a new registry.
+  ///
+  /// Most users only need to use the global registry.
+  static std::unique_ptr<FunctionRegistry> Make();
+
+  /// \brief Construct a new nested registry with the given parent.
+  ///
+  /// Most users only need to use the global registry. The returned registry never changes
+  /// its parent, even when an operation allows overwriting.
+  static std::unique_ptr<FunctionRegistry> Make(FunctionRegistry* parent);
+
+  /// \brief Check whether a new function can be added to the registry.
+  ///
+  /// \returns Status::KeyError if a function with the same name is already registered.
+  Status CanAddFunction(std::shared_ptr<Function> function, bool allow_overwrite = false);
+
+  /// \brief Add a new function to the registry.
+  ///
+  /// \returns Status::KeyError if a function with the same name is already registered.
+  Status AddFunction(std::shared_ptr<Function> function, bool allow_overwrite = false);
+
+  /// \brief Check whether an alias can be added for the given function name.
+  ///
+  /// \returns Status::KeyError if the function with the given name is not registered.
+  Status CanAddAlias(const std::string& target_name, const std::string& source_name);
+
+  /// \brief Add alias for the given function name.
+  ///
+  /// \returns Status::KeyError if the function with the given name is not registered.
+  Status AddAlias(const std::string& target_name, const std::string& source_name);
+
+  /// \brief Check whether a new function options type can be added to the registry.
+  ///
+  /// \return Status::KeyError if a function options type with the same name is already
+  /// registered.
+  Status CanAddFunctionOptionsType(const FunctionOptionsType* options_type,
+                                   bool allow_overwrite = false);
+
+  /// \brief Add a new function options type to the registry.
+  ///
+  /// \returns Status::KeyError if a function options type with the same name is already
+  /// registered.
+  Status AddFunctionOptionsType(const FunctionOptionsType* options_type,
+                                bool allow_overwrite = false);
+
+  /// \brief Retrieve a function by name from the registry.
+  Result<std::shared_ptr<Function>> GetFunction(const std::string& name) const;
+
+  /// \brief Return vector of all entry names in the registry.
+  ///
+  /// Helpful for displaying a manifest of available functions.
+  std::vector<std::string> GetFunctionNames() const;
+
+  /// \brief Retrieve a function options type by name from the registry.
+  Result<const FunctionOptionsType*> GetFunctionOptionsType(
+      const std::string& name) const;
+
+  /// \brief The number of currently registered functions.
+  int num_functions() const;
+
+ private:
+  FunctionRegistry();
+
+  // Use PIMPL pattern to not have std::unordered_map here
+  class FunctionRegistryImpl;
+  std::unique_ptr<FunctionRegistryImpl> impl_;
+
+  explicit FunctionRegistry(FunctionRegistryImpl* impl);
+};
+
+}  // namespace compute
+}  // namespace arrow

env-llmeval/lib/python3.10/site-packages/pyarrow/include/arrow/compute/row/grouper.h

@@ -0,0 +1,184 @@
+// 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 <memory>
+#include <vector>
+
+#include "arrow/compute/kernel.h"
+#include "arrow/datum.h"
+#include "arrow/result.h"
+#include "arrow/util/visibility.h"
+
+namespace arrow {
+namespace compute {
+
+/// \brief A segment
+/// A segment group is a chunk of continuous rows that have the same segment key. (For
+/// example, in ordered time series processing, segment key can be "date", and a segment
+/// group can be all the rows that belong to the same date.) A segment group can span
+/// across multiple exec batches. A segment is a chunk of continuous rows that has the
+/// same segment key within a given batch. When a segment group span cross batches, it
+/// will have multiple segments. A segment never spans cross batches. The segment data
+/// structure only makes sense when used along with a exec batch.
+struct ARROW_EXPORT Segment {
+  /// \brief the offset into the batch where the segment starts
+  int64_t offset;
+  /// \brief the length of the segment
+  int64_t length;
+  /// \brief whether the segment may be extended by a next one
+  bool is_open;
+  /// \brief whether the segment extends a preceeding one
+  bool extends;
+};
+
+inline bool operator==(const Segment& segment1, const Segment& segment2) {
+  return segment1.offset == segment2.offset && segment1.length == segment2.length &&
+         segment1.is_open == segment2.is_open && segment1.extends == segment2.extends;
+}
+inline bool operator!=(const Segment& segment1, const Segment& segment2) {
+  return !(segment1 == segment2);
+}
+
+/// \brief a helper class to divide a batch into segments of equal values
+///
+/// For example, given a batch with two rows:
+///
+/// A A
+/// A A
+/// A B
+/// A B
+/// A A
+///
+/// Then the batch could be divided into 3 segments.  The first would be rows 0 & 1,
+/// the second would be rows 2 & 3, and the third would be row 4.
+///
+/// Further, a segmenter keeps track of the last value seen.  This allows it to calculate
+/// segments which span batches.  In our above example the last batch we emit would set
+/// the "open" flag, which indicates whether the segment may extend into the next batch.
+///
+/// If the next call to the segmenter starts with `A A` then that segment would set the
+/// "extends" flag, which indicates whether the segment continues the last open batch.
+class ARROW_EXPORT RowSegmenter {
+ public:
+  virtual ~RowSegmenter() = default;
+
+  /// \brief Construct a Segmenter which segments on the specified key types
+  ///
+  /// \param[in] key_types the specified key types
+  /// \param[in] nullable_keys whether values of the specified keys may be null
+  /// \param[in] ctx the execution context to use
+  static Result<std::unique_ptr<RowSegmenter>> Make(
+      const std::vector<TypeHolder>& key_types, bool nullable_keys, ExecContext* ctx);
+
+  /// \brief Return the key types of this segmenter
+  virtual const std::vector<TypeHolder>& key_types() const = 0;
+
+  /// \brief Reset this segmenter
+  ///
+  /// A segmenter normally extends (see `Segment`) a segment from one batch to the next.
+  /// If segment-extension is undesirable, for example when each batch is processed
+  /// independently, then `Reset` should be invoked before processing the next batch.
+  virtual Status Reset() = 0;
+
+  /// \brief Get the next segment for the given batch starting from the given offset
+  virtual Result<Segment> GetNextSegment(const ExecSpan& batch, int64_t offset) = 0;
+};
+
+/// Consumes batches of keys and yields batches of the group ids.
+class ARROW_EXPORT Grouper {
+ public:
+  virtual ~Grouper() = default;
+
+  /// Construct a Grouper which receives the specified key types
+  static Result<std::unique_ptr<Grouper>> Make(const std::vector<TypeHolder>& key_types,
+                                               ExecContext* ctx = default_exec_context());
+
+  /// Consume a batch of keys, producing the corresponding group ids as an integer array,
+  /// over a slice defined by an offset and length, which defaults to the batch length.
+  /// Currently only uint32 indices will be produced, eventually the bit width will only
+  /// be as wide as necessary.
+  virtual Result<Datum> Consume(const ExecSpan& batch, int64_t offset = 0,
+                                int64_t length = -1) = 0;
+
+  /// Get current unique keys. May be called multiple times.
+  virtual Result<ExecBatch> GetUniques() = 0;
+
+  /// Get the current number of groups.
+  virtual uint32_t num_groups() const = 0;
+
+  /// \brief Assemble lists of indices of identical elements.
+  ///
+  /// \param[in] ids An unsigned, all-valid integral array which will be
+  ///                used as grouping criteria.
+  /// \param[in] num_groups An upper bound for the elements of ids
+  /// \param[in] ctx Execution context to use during the operation
+  /// \return A num_groups-long ListArray where the slot at i contains a
+  ///         list of indices where i appears in ids.
+  ///
+  ///   MakeGroupings([
+  ///       2,
+  ///       2,
+  ///       5,
+  ///       5,
+  ///       2,
+  ///       3
+  ///   ], 8) == [
+  ///       [],
+  ///       [],
+  ///       [0, 1, 4],
+  ///       [5],
+  ///       [],
+  ///       [2, 3],
+  ///       [],
+  ///       []
+  ///   ]
+  static Result<std::shared_ptr<ListArray>> MakeGroupings(
+      const UInt32Array& ids, uint32_t num_groups,
+      ExecContext* ctx = default_exec_context());
+
+  /// \brief Produce a ListArray whose slots are selections of `array` which correspond to
+  /// the provided groupings.
+  ///
+  /// For example,
+  ///   ApplyGroupings([
+  ///       [],
+  ///       [],
+  ///       [0, 1, 4],
+  ///       [5],
+  ///       [],
+  ///       [2, 3],
+  ///       [],
+  ///       []
+  ///   ], [2, 2, 5, 5, 2, 3]) == [
+  ///       [],
+  ///       [],
+  ///       [2, 2, 2],
+  ///       [3],
+  ///       [],
+  ///       [5, 5],
+  ///       [],
+  ///       []
+  ///   ]
+  static Result<std::shared_ptr<ListArray>> ApplyGroupings(
+      const ListArray& groupings, const Array& array,
+      ExecContext* ctx = default_exec_context());
+};
+
+}  // namespace compute
+}  // namespace arrow

env-llmeval/lib/python3.10/site-packages/pyarrow/include/arrow/compute/type_fwd.h

@@ -0,0 +1,58 @@
+// 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 "arrow/util/visibility.h"
+
+namespace arrow {
+
+struct Datum;
+struct TypeHolder;
+
+namespace compute {
+
+class Function;
+class ScalarAggregateFunction;
+class FunctionExecutor;
+class FunctionOptions;
+class FunctionRegistry;
+
+/// \brief Return the process-global function registry.
+// Defined in registry.cc
+ARROW_EXPORT FunctionRegistry* GetFunctionRegistry();
+
+class CastOptions;
+
+struct ExecBatch;
+class ExecContext;
+class KernelContext;
+
+struct Kernel;
+struct ScalarKernel;
+struct ScalarAggregateKernel;
+struct VectorKernel;
+
+struct KernelState;
+
+class Expression;
+
+ARROW_EXPORT ExecContext* default_exec_context();
+ARROW_EXPORT ExecContext* threaded_exec_context();
+
+}  // namespace compute
+}  // namespace arrow

env-llmeval/lib/python3.10/site-packages/pyarrow/include/arrow/compute/util.h

@@ -0,0 +1,290 @@
+// 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 <atomic>
+#include <cstdint>
+#include <optional>
+#include <thread>
+#include <unordered_map>
+#include <vector>
+
+#include "arrow/buffer.h"
+#include "arrow/compute/expression.h"
+#include "arrow/compute/type_fwd.h"
+#include "arrow/memory_pool.h"
+#include "arrow/result.h"
+#include "arrow/status.h"
+#include "arrow/util/bit_util.h"
+#include "arrow/util/cpu_info.h"
+#include "arrow/util/mutex.h"
+#include "arrow/util/thread_pool.h"
+#include "arrow/util/type_fwd.h"
+
+#if defined(__clang__) || defined(__GNUC__)
+#define BYTESWAP(x) __builtin_bswap64(x)
+#define ROTL(x, n) (((x) << (n)) | ((x) >> ((-n) & 31)))
+#define ROTL64(x, n) (((x) << (n)) | ((x) >> ((-n) & 63)))
+#define PREFETCH(ptr) __builtin_prefetch((ptr), 0 /* rw==read */, 3 /* locality */)
+#elif defined(_MSC_VER)
+#include <intrin.h>
+#define BYTESWAP(x) _byteswap_uint64(x)
+#define ROTL(x, n) _rotl((x), (n))
+#define ROTL64(x, n) _rotl64((x), (n))
+#if defined(_M_X64) || defined(_M_I86)
+#include <mmintrin.h>  // https://msdn.microsoft.com/fr-fr/library/84szxsww(v=vs.90).aspx
+#define PREFETCH(ptr) _mm_prefetch((const char*)(ptr), _MM_HINT_T0)
+#else
+#define PREFETCH(ptr) (void)(ptr) /* disabled */
+#endif
+#endif
+
+namespace arrow {
+namespace util {
+
+// Some platforms typedef int64_t as long int instead of long long int,
+// which breaks the _mm256_i64gather_epi64 and _mm256_i32gather_epi64 intrinsics
+// which need long long.
+// We use the cast to the type below in these intrinsics to make the code
+// compile in all cases.
+//
+using int64_for_gather_t = const long long int;  // NOLINT runtime-int
+
+// All MiniBatch... classes use TempVectorStack for vector allocations and can
+// only work with vectors up to 1024 elements.
+//
+// They should only be allocated on the stack to guarantee the right sequence
+// of allocation and deallocation of vectors from TempVectorStack.
+//
+class MiniBatch {
+ public:
+  static constexpr int kLogMiniBatchLength = 10;
+  static constexpr int kMiniBatchLength = 1 << kLogMiniBatchLength;
+};
+
+/// Storage used to allocate temporary vectors of a batch size.
+/// Temporary vectors should resemble allocating temporary variables on the stack
+/// but in the context of vectorized processing where we need to store a vector of
+/// temporaries instead of a single value.
+class ARROW_EXPORT TempVectorStack {
+  template <typename>
+  friend class TempVectorHolder;
+
+ public:
+  Status Init(MemoryPool* pool, int64_t size) {
+    num_vectors_ = 0;
+    top_ = 0;
+    buffer_size_ = PaddedAllocationSize(size) + kPadding + 2 * sizeof(uint64_t);
+    ARROW_ASSIGN_OR_RAISE(auto buffer, AllocateResizableBuffer(size, pool));
+    // Ensure later operations don't accidentally read uninitialized memory.
+    std::memset(buffer->mutable_data(), 0xFF, size);
+    buffer_ = std::move(buffer);
+    return Status::OK();
+  }
+
+ private:
+  int64_t PaddedAllocationSize(int64_t num_bytes) {
+    // Round up allocation size to multiple of 8 bytes
+    // to avoid returning temp vectors with unaligned address.
+    //
+    // Also add padding at the end to facilitate loads and stores
+    // using SIMD when number of vector elements is not divisible
+    // by the number of SIMD lanes.
+    //
+    return ::arrow::bit_util::RoundUp(num_bytes, sizeof(int64_t)) + kPadding;
+  }
+  void alloc(uint32_t num_bytes, uint8_t** data, int* id);
+  void release(int id, uint32_t num_bytes);
+  static constexpr uint64_t kGuard1 = 0x3141592653589793ULL;
+  static constexpr uint64_t kGuard2 = 0x0577215664901532ULL;
+  static constexpr int64_t kPadding = 64;
+  int num_vectors_;
+  int64_t top_;
+  std::unique_ptr<Buffer> buffer_;
+  int64_t buffer_size_;
+};
+
+template <typename T>
+class TempVectorHolder {
+  friend class TempVectorStack;
+
+ public:
+  ~TempVectorHolder() { stack_->release(id_, num_elements_ * sizeof(T)); }
+  T* mutable_data() { return reinterpret_cast<T*>(data_); }
+  TempVectorHolder(TempVectorStack* stack, uint32_t num_elements) {
+    stack_ = stack;
+    num_elements_ = num_elements;
+    stack_->alloc(num_elements * sizeof(T), &data_, &id_);
+  }
+
+ private:
+  TempVectorStack* stack_;
+  uint8_t* data_;
+  int id_;
+  uint32_t num_elements_;
+};
+
+namespace bit_util {
+
+ARROW_EXPORT void bits_to_indexes(int bit_to_search, int64_t hardware_flags,
+                                  const int num_bits, const uint8_t* bits,
+                                  int* num_indexes, uint16_t* indexes,
+                                  int bit_offset = 0);
+
+ARROW_EXPORT void bits_filter_indexes(int bit_to_search, int64_t hardware_flags,
+                                      const int num_bits, const uint8_t* bits,
+                                      const uint16_t* input_indexes, int* num_indexes,
+                                      uint16_t* indexes, int bit_offset = 0);
+
+// Input and output indexes may be pointing to the same data (in-place filtering).
+ARROW_EXPORT void bits_split_indexes(int64_t hardware_flags, const int num_bits,
+                                     const uint8_t* bits, int* num_indexes_bit0,
+                                     uint16_t* indexes_bit0, uint16_t* indexes_bit1,
+                                     int bit_offset = 0);
+
+// Bit 1 is replaced with byte 0xFF.
+ARROW_EXPORT void bits_to_bytes(int64_t hardware_flags, const int num_bits,
+                                const uint8_t* bits, uint8_t* bytes, int bit_offset = 0);
+
+// Return highest bit of each byte.
+ARROW_EXPORT void bytes_to_bits(int64_t hardware_flags, const int num_bits,
+                                const uint8_t* bytes, uint8_t* bits, int bit_offset = 0);
+
+ARROW_EXPORT bool are_all_bytes_zero(int64_t hardware_flags, const uint8_t* bytes,
+                                     uint32_t num_bytes);
+
+#if defined(ARROW_HAVE_RUNTIME_AVX2) && defined(ARROW_HAVE_RUNTIME_BMI2)
+// The functions below use BMI2 instructions, be careful before calling!
+
+namespace avx2 {
+ARROW_EXPORT void bits_filter_indexes_avx2(int bit_to_search, const int num_bits,
+                                           const uint8_t* bits,
+                                           const uint16_t* input_indexes,
+                                           int* num_indexes, uint16_t* indexes);
+ARROW_EXPORT void bits_to_indexes_avx2(int bit_to_search, const int num_bits,
+                                       const uint8_t* bits, int* num_indexes,
+                                       uint16_t* indexes, uint16_t base_index = 0);
+ARROW_EXPORT void bits_to_bytes_avx2(const int num_bits, const uint8_t* bits,
+                                     uint8_t* bytes);
+ARROW_EXPORT void bytes_to_bits_avx2(const int num_bits, const uint8_t* bytes,
+                                     uint8_t* bits);
+ARROW_EXPORT bool are_all_bytes_zero_avx2(const uint8_t* bytes, uint32_t num_bytes);
+}  // namespace avx2
+
+#endif
+
+}  // namespace bit_util
+}  // namespace util
+
+namespace compute {
+
+/// Modify an Expression with pre-order and post-order visitation.
+/// `pre` will be invoked on each Expression. `pre` will visit Calls before their
+/// arguments, `post_call` will visit Calls (and no other Expressions) after their
+/// arguments. Visitors should return the Identical expression to indicate no change; this
+/// will prevent unnecessary construction in the common case where a modification is not
+/// possible/necessary/...
+///
+/// If an argument was modified, `post_call` visits a reconstructed Call with the modified
+/// arguments but also receives a pointer to the unmodified Expression as a second
+/// argument. If no arguments were modified the unmodified Expression* will be nullptr.
+template <typename PreVisit, typename PostVisitCall>
+Result<Expression> ModifyExpression(Expression expr, const PreVisit& pre,
+                                    const PostVisitCall& post_call) {
+  ARROW_ASSIGN_OR_RAISE(expr, Result<Expression>(pre(std::move(expr))));
+
+  auto call = expr.call();
+  if (!call) return expr;
+
+  bool at_least_one_modified = false;
+  std::vector<Expression> modified_arguments;
+
+  for (size_t i = 0; i < call->arguments.size(); ++i) {
+    ARROW_ASSIGN_OR_RAISE(auto modified_argument,
+                          ModifyExpression(call->arguments[i], pre, post_call));
+
+    if (Identical(modified_argument, call->arguments[i])) {
+      continue;
+    }
+
+    if (!at_least_one_modified) {
+      modified_arguments = call->arguments;
+      at_least_one_modified = true;
+    }
+
+    modified_arguments[i] = std::move(modified_argument);
+  }
+
+  if (at_least_one_modified) {
+    // reconstruct the call expression with the modified arguments
+    auto modified_call = *call;
+    modified_call.arguments = std::move(modified_arguments);
+    return post_call(Expression(std::move(modified_call)), &expr);
+  }
+
+  return post_call(std::move(expr), NULLPTR);
+}
+
+// Helper class to calculate the modified number of rows to process using SIMD.
+//
+// Some array elements at the end will be skipped in order to avoid buffer
+// overrun, when doing memory loads and stores using larger word size than a
+// single array element.
+//
+class TailSkipForSIMD {
+ public:
+  static int64_t FixBitAccess(int num_bytes_accessed_together, int64_t num_rows,
+                              int bit_offset) {
+    int64_t num_bytes = bit_util::BytesForBits(num_rows + bit_offset);
+    int64_t num_bytes_safe =
+        std::max(static_cast<int64_t>(0LL), num_bytes - num_bytes_accessed_together + 1);
+    int64_t num_rows_safe =
+        std::max(static_cast<int64_t>(0LL), 8 * num_bytes_safe - bit_offset);
+    return std::min(num_rows_safe, num_rows);
+  }
+  static int64_t FixBinaryAccess(int num_bytes_accessed_together, int64_t num_rows,
+                                 int64_t length) {
+    int64_t num_rows_to_skip = bit_util::CeilDiv(length, num_bytes_accessed_together);
+    int64_t num_rows_safe =
+        std::max(static_cast<int64_t>(0LL), num_rows - num_rows_to_skip);
+    return num_rows_safe;
+  }
+  static int64_t FixVarBinaryAccess(int num_bytes_accessed_together, int64_t num_rows,
+                                    const uint32_t* offsets) {
+    // Do not process rows that could read past the end of the buffer using N
+    // byte loads/stores.
+    //
+    int64_t num_rows_safe = num_rows;
+    while (num_rows_safe > 0 &&
+           offsets[num_rows_safe] + num_bytes_accessed_together > offsets[num_rows]) {
+      --num_rows_safe;
+    }
+    return num_rows_safe;
+  }
+  static int FixSelection(int64_t num_rows_safe, int num_selected,
+                          const uint16_t* selection) {
+    int num_selected_safe = num_selected;
+    while (num_selected_safe > 0 && selection[num_selected_safe - 1] >= num_rows_safe) {
+      --num_selected_safe;
+    }
+    return num_selected_safe;
+  }
+};
+
+}  // namespace compute
+}  // namespace arrow

env-llmeval/lib/python3.10/site-packages/pyarrow/include/arrow/dataset/discovery.h

@@ -0,0 +1,275 @@
+// 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.
+
+/// Logic for automatically determining the structure of multi-file
+/// dataset with possible partitioning according to available
+/// partitioning
+
+// This API is EXPERIMENTAL.
+
+#pragma once
+
+#include <memory>
+#include <string>
+#include <variant>
+#include <vector>
+
+#include "arrow/dataset/partition.h"
+#include "arrow/dataset/type_fwd.h"
+#include "arrow/dataset/visibility.h"
+#include "arrow/filesystem/type_fwd.h"
+#include "arrow/result.h"
+#include "arrow/util/macros.h"
+
+namespace arrow {
+namespace dataset {
+
+/// \defgroup dataset-discovery Discovery API
+///
+/// @{
+
+struct InspectOptions {
+  /// See `fragments` property.
+  static constexpr int kInspectAllFragments = -1;
+
+  /// Indicate how many fragments should be inspected to infer the unified dataset
+  /// schema. Limiting the number of fragments accessed improves the latency of
+  /// the discovery process when dealing with a high number of fragments and/or
+  /// high latency file systems.
+  ///
+  /// The default value of `1` inspects the schema of the first (in no particular
+  /// order) fragment only. If the dataset has a uniform schema for all fragments,
+  /// this default is the optimal value. In order to inspect all fragments and
+  /// robustly unify their potentially varying schemas, set this option to
+  /// `kInspectAllFragments`. A value of `0` disables inspection of fragments
+  /// altogether so only the partitioning schema will be inspected.
+  int fragments = 1;
+
+  /// Control how to unify types. By default, types are merged strictly (the
+  /// type must match exactly, except nulls can be merged with other types).
+  Field::MergeOptions field_merge_options = Field::MergeOptions::Defaults();
+};
+
+struct FinishOptions {
+  /// Finalize the dataset with this given schema. If the schema is not
+  /// provided, infer the schema via the Inspect, see the `inspect_options`
+  /// property.
+  std::shared_ptr<Schema> schema = NULLPTR;
+
+  /// If the schema is not provided, it will be discovered by passing the
+  /// following options to `DatasetDiscovery::Inspect`.
+  InspectOptions inspect_options{};
+
+  /// Indicate if the given Schema (when specified), should be validated against
+  /// the fragments' schemas. `inspect_options` will control how many fragments
+  /// are checked.
+  bool validate_fragments = false;
+};
+
+/// \brief DatasetFactory provides a way to inspect/discover a Dataset's expected
+/// schema before materializing said Dataset.
+class ARROW_DS_EXPORT DatasetFactory {
+ public:
+  /// \brief Get the schemas of the Fragments and Partitioning.
+  virtual Result<std::vector<std::shared_ptr<Schema>>> InspectSchemas(
+      InspectOptions options) = 0;
+
+  /// \brief Get unified schema for the resulting Dataset.
+  Result<std::shared_ptr<Schema>> Inspect(InspectOptions options = {});
+
+  /// \brief Create a Dataset
+  Result<std::shared_ptr<Dataset>> Finish();
+  /// \brief Create a Dataset with the given schema (see \a InspectOptions::schema)
+  Result<std::shared_ptr<Dataset>> Finish(std::shared_ptr<Schema> schema);
+  /// \brief Create a Dataset with the given options
+  virtual Result<std::shared_ptr<Dataset>> Finish(FinishOptions options) = 0;
+
+  /// \brief Optional root partition for the resulting Dataset.
+  const compute::Expression& root_partition() const { return root_partition_; }
+  /// \brief Set the root partition for the resulting Dataset.
+  Status SetRootPartition(compute::Expression partition) {
+    root_partition_ = std::move(partition);
+    return Status::OK();
+  }
+
+  virtual ~DatasetFactory() = default;
+
+ protected:
+  DatasetFactory();
+
+  compute::Expression root_partition_;
+};
+
+/// @}
+
+/// \brief DatasetFactory provides a way to inspect/discover a Dataset's
+/// expected schema before materialization.
+/// \ingroup dataset-implementations
+class ARROW_DS_EXPORT UnionDatasetFactory : public DatasetFactory {
+ public:
+  static Result<std::shared_ptr<DatasetFactory>> Make(
+      std::vector<std::shared_ptr<DatasetFactory>> factories);
+
+  /// \brief Return the list of child DatasetFactory
+  const std::vector<std::shared_ptr<DatasetFactory>>& factories() const {
+    return factories_;
+  }
+
+  /// \brief Get the schemas of the Datasets.
+  ///
+  /// Instead of applying options globally, it applies at each child factory.
+  /// This will not respect `options.fragments` exactly, but will respect the
+  /// spirit of peeking the first fragments or all of them.
+  Result<std::vector<std::shared_ptr<Schema>>> InspectSchemas(
+      InspectOptions options) override;
+
+  /// \brief Create a Dataset.
+  Result<std::shared_ptr<Dataset>> Finish(FinishOptions options) override;
+
+ protected:
+  explicit UnionDatasetFactory(std::vector<std::shared_ptr<DatasetFactory>> factories);
+
+  std::vector<std::shared_ptr<DatasetFactory>> factories_;
+};
+
+/// \ingroup dataset-filesystem
+struct FileSystemFactoryOptions {
+  /// Either an explicit Partitioning or a PartitioningFactory to discover one.
+  ///
+  /// If a factory is provided, it will be used to infer a schema for partition fields
+  /// based on file and directory paths then construct a Partitioning. The default
+  /// is a Partitioning which will yield no partition information.
+  ///
+  /// The (explicit or discovered) partitioning will be applied to discovered files
+  /// and the resulting partition information embedded in the Dataset.
+  PartitioningOrFactory partitioning{Partitioning::Default()};
+
+  /// For the purposes of applying the partitioning, paths will be stripped
+  /// of the partition_base_dir. Files not matching the partition_base_dir
+  /// prefix will be skipped for partition discovery. The ignored files will still
+  /// be part of the Dataset, but will not have partition information.
+  ///
+  /// Example:
+  /// partition_base_dir = "/dataset";
+  ///
+  /// - "/dataset/US/sales.csv" -> "US/sales.csv" will be given to the partitioning
+  ///
+  /// - "/home/john/late_sales.csv" -> Will be ignored for partition discovery.
+  ///
+  /// This is useful for partitioning which parses directory when ordering
+  /// is important, e.g. DirectoryPartitioning.
+  std::string partition_base_dir;
+
+  /// Invalid files (via selector or explicitly) will be excluded by checking
+  /// with the FileFormat::IsSupported method.  This will incur IO for each files
+  /// in a serial and single threaded fashion. Disabling this feature will skip the
+  /// IO, but unsupported files may be present in the Dataset
+  /// (resulting in an error at scan time).
+  bool exclude_invalid_files = false;
+
+  /// When discovering from a Selector (and not from an explicit file list), ignore
+  /// files and directories matching any of these prefixes.
+  ///
+  /// Example (with selector = "/dataset/**"):
+  /// selector_ignore_prefixes = {"_", ".DS_STORE" };
+  ///
+  /// - "/dataset/data.csv" -> not ignored
+  /// - "/dataset/_metadata" -> ignored
+  /// - "/dataset/.DS_STORE" -> ignored
+  /// - "/dataset/_hidden/dat" -> ignored
+  /// - "/dataset/nested/.DS_STORE" -> ignored
+  std::vector<std::string> selector_ignore_prefixes = {
+      ".",
+      "_",
+  };
+};
+
+/// \brief FileSystemDatasetFactory creates a Dataset from a vector of
+/// fs::FileInfo or a fs::FileSelector.
+/// \ingroup dataset-filesystem
+class ARROW_DS_EXPORT FileSystemDatasetFactory : public DatasetFactory {
+ public:
+  /// \brief Build a FileSystemDatasetFactory from an explicit list of
+  /// paths.
+  ///
+  /// \param[in] filesystem passed to FileSystemDataset
+  /// \param[in] paths passed to FileSystemDataset
+  /// \param[in] format passed to FileSystemDataset
+  /// \param[in] options see FileSystemFactoryOptions for more information.
+  static Result<std::shared_ptr<DatasetFactory>> Make(
+      std::shared_ptr<fs::FileSystem> filesystem, const std::vector<std::string>& paths,
+      std::shared_ptr<FileFormat> format, FileSystemFactoryOptions options);
+
+  /// \brief Build a FileSystemDatasetFactory from a fs::FileSelector.
+  ///
+  /// The selector will expand to a vector of FileInfo. The expansion/crawling
+  /// is performed in this function call. Thus, the finalized Dataset is
+  /// working with a snapshot of the filesystem.
+  //
+  /// If options.partition_base_dir is not provided, it will be overwritten
+  /// with selector.base_dir.
+  ///
+  /// \param[in] filesystem passed to FileSystemDataset
+  /// \param[in] selector used to crawl and search files
+  /// \param[in] format passed to FileSystemDataset
+  /// \param[in] options see FileSystemFactoryOptions for more information.
+  static Result<std::shared_ptr<DatasetFactory>> Make(
+      std::shared_ptr<fs::FileSystem> filesystem, fs::FileSelector selector,
+      std::shared_ptr<FileFormat> format, FileSystemFactoryOptions options);
+
+  /// \brief Build a FileSystemDatasetFactory from an uri including filesystem
+  /// information.
+  ///
+  /// \param[in] uri passed to FileSystemDataset
+  /// \param[in] format passed to FileSystemDataset
+  /// \param[in] options see FileSystemFactoryOptions for more information.
+  static Result<std::shared_ptr<DatasetFactory>> Make(std::string uri,
+                                                      std::shared_ptr<FileFormat> format,
+                                                      FileSystemFactoryOptions options);
+
+  /// \brief Build a FileSystemDatasetFactory from an explicit list of
+  /// file information.
+  ///
+  /// \param[in] filesystem passed to FileSystemDataset
+  /// \param[in] files passed to FileSystemDataset
+  /// \param[in] format passed to FileSystemDataset
+  /// \param[in] options see FileSystemFactoryOptions for more information.
+  static Result<std::shared_ptr<DatasetFactory>> Make(
+      std::shared_ptr<fs::FileSystem> filesystem, const std::vector<fs::FileInfo>& files,
+      std::shared_ptr<FileFormat> format, FileSystemFactoryOptions options);
+
+  Result<std::vector<std::shared_ptr<Schema>>> InspectSchemas(
+      InspectOptions options) override;
+
+  Result<std::shared_ptr<Dataset>> Finish(FinishOptions options) override;
+
+ protected:
+  FileSystemDatasetFactory(std::vector<fs::FileInfo> files,
+                           std::shared_ptr<fs::FileSystem> filesystem,
+                           std::shared_ptr<FileFormat> format,
+                           FileSystemFactoryOptions options);
+
+  Result<std::shared_ptr<Schema>> PartitionSchema();
+
+  std::vector<fs::FileInfo> files_;
+  std::shared_ptr<fs::FileSystem> fs_;
+  std::shared_ptr<FileFormat> format_;
+  FileSystemFactoryOptions options_;
+};
+
+}  // namespace dataset
+}  // namespace arrow

env-llmeval/lib/python3.10/site-packages/pyarrow/include/arrow/filesystem/api.h

@@ -0,0 +1,31 @@
+// 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 "arrow/util/config.h"  // IWYU pragma: export
+
+#include "arrow/filesystem/filesystem.h"  // IWYU pragma: export
+#include "arrow/filesystem/hdfs.h"        // IWYU pragma: export
+#ifdef ARROW_GCS
+#include "arrow/filesystem/gcsfs.h"  // IWYU pragma: export
+#endif
+#include "arrow/filesystem/localfs.h"  // IWYU pragma: export
+#include "arrow/filesystem/mockfs.h"   // IWYU pragma: export
+#ifdef ARROW_S3
+#include "arrow/filesystem/s3fs.h"  // IWYU pragma: export
+#endif

env-llmeval/lib/python3.10/site-packages/pyarrow/include/arrow/filesystem/azurefs.h

@@ -0,0 +1,237 @@
+// 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 <memory>
+#include <string>
+#include <vector>
+
+#include "arrow/filesystem/filesystem.h"
+#include "arrow/util/macros.h"
+#include "arrow/util/uri.h"
+
+namespace Azure::Core::Credentials {
+class TokenCredential;
+}
+
+namespace Azure::Storage {
+class StorageSharedKeyCredential;
+}
+
+namespace Azure::Storage::Blobs {
+class BlobServiceClient;
+}
+
+namespace Azure::Storage::Files::DataLake {
+class DataLakeFileSystemClient;
+class DataLakeServiceClient;
+}  // namespace Azure::Storage::Files::DataLake
+
+namespace arrow::fs {
+
+class TestAzureFileSystem;
+
+/// Options for the AzureFileSystem implementation.
+///
+/// By default, authentication is handled by the Azure SDK's credential chain
+/// which may read from multiple environment variables, such as:
+/// - `AZURE_TENANT_ID`
+/// - `AZURE_CLIENT_ID`
+/// - `AZURE_CLIENT_SECRET`
+/// - `AZURE_AUTHORITY_HOST`
+/// - `AZURE_CLIENT_CERTIFICATE_PATH`
+/// - `AZURE_FEDERATED_TOKEN_FILE`
+///
+/// Functions are provided for explicit configuration of credentials if that is preferred.
+struct ARROW_EXPORT AzureOptions {
+  /// \brief The name of the Azure Storage Account being accessed.
+  ///
+  /// All service URLs will be constructed using this storage account name.
+  /// `ConfigureAccountKeyCredential` assumes the user wants to authenticate
+  /// this account.
+  std::string account_name;
+
+  /// \brief hostname[:port] of the Azure Blob Storage Service.
+  ///
+  /// If the hostname is a relative domain name (one that starts with a '.'), then storage
+  /// account URLs will be constructed by prepending the account name to the hostname.
+  /// If the hostname is a fully qualified domain name, then the hostname will be used
+  /// as-is and the account name will follow the hostname in the URL path.
+  ///
+  /// Default: ".blob.core.windows.net"
+  std::string blob_storage_authority = ".blob.core.windows.net";
+
+  /// \brief hostname[:port] of the Azure Data Lake Storage Gen 2 Service.
+  ///
+  /// If the hostname is a relative domain name (one that starts with a '.'), then storage
+  /// account URLs will be constructed by prepending the account name to the hostname.
+  /// If the hostname is a fully qualified domain name, then the hostname will be used
+  /// as-is and the account name will follow the hostname in the URL path.
+  ///
+  /// Default: ".dfs.core.windows.net"
+  std::string dfs_storage_authority = ".dfs.core.windows.net";
+
+  /// \brief Azure Blob Storage connection transport.
+  ///
+  /// Default: "https"
+  std::string blob_storage_scheme = "https";
+
+  /// \brief Azure Data Lake Storage Gen 2 connection transport.
+  ///
+  /// Default: "https"
+  std::string dfs_storage_scheme = "https";
+
+  // TODO(GH-38598): Add support for more auth methods.
+  // std::string connection_string;
+  // std::string sas_token;
+
+  /// \brief Default metadata for OpenOutputStream.
+  ///
+  /// This will be ignored if non-empty metadata is passed to OpenOutputStream.
+  std::shared_ptr<const KeyValueMetadata> default_metadata;
+
+ private:
+  enum class CredentialKind {
+    kDefault,
+    kAnonymous,
+    kStorageSharedKey,
+    kClientSecret,
+    kManagedIdentity,
+    kWorkloadIdentity,
+  } credential_kind_ = CredentialKind::kDefault;
+
+  std::shared_ptr<Azure::Storage::StorageSharedKeyCredential>
+      storage_shared_key_credential_;
+  mutable std::shared_ptr<Azure::Core::Credentials::TokenCredential> token_credential_;
+
+ public:
+  AzureOptions();
+  ~AzureOptions();
+
+  Status ConfigureDefaultCredential();
+  Status ConfigureAnonymousCredential();
+  Status ConfigureAccountKeyCredential(const std::string& account_key);
+  Status ConfigureClientSecretCredential(const std::string& tenant_id,
+                                         const std::string& client_id,
+                                         const std::string& client_secret);
+  Status ConfigureManagedIdentityCredential(const std::string& client_id = std::string());
+  Status ConfigureWorkloadIdentityCredential();
+
+  bool Equals(const AzureOptions& other) const;
+
+  std::string AccountBlobUrl(const std::string& account_name) const;
+  std::string AccountDfsUrl(const std::string& account_name) const;
+
+  Result<std::unique_ptr<Azure::Storage::Blobs::BlobServiceClient>>
+  MakeBlobServiceClient() const;
+
+  Result<std::unique_ptr<Azure::Storage::Files::DataLake::DataLakeServiceClient>>
+  MakeDataLakeServiceClient() const;
+};
+
+/// \brief FileSystem implementation backed by Azure Blob Storage (ABS) [1] and
+/// Azure Data Lake Storage Gen2 (ADLS Gen2) [2].
+///
+/// ADLS Gen2 isn't a dedicated service or account type. It's a set of capabilities that
+/// support high throughput analytic workloads, built on Azure Blob Storage. All the data
+/// ingested via the ADLS Gen2 APIs is persisted as blobs in the storage account.
+/// ADLS Gen2 provides filesystem semantics, file-level security, and Hadoop
+/// compatibility. ADLS Gen1 exists as a separate object that will retired on 2024-02-29
+/// and new ADLS accounts use Gen2 instead.
+///
+/// ADLS Gen2 and Blob APIs can operate on the same data, but there are
+/// some limitations [3]. The ones that are relevant to this
+/// implementation are listed here:
+///
+/// - You can't use Blob APIs, and ADLS APIs to write to the same instance of a file. If
+///   you write to a file by using ADLS APIs then that file's blocks won't be visible
+///   to calls to the GetBlockList Blob API. The only exception is when you're
+///   overwriting.
+/// - When you use the ListBlobs operation without specifying a delimiter, the results
+///   include both directories and blobs. If you choose to use a delimiter, use only a
+///   forward slash (/) -- the only supported delimiter.
+/// - If you use the DeleteBlob API to delete a directory, that directory is deleted only
+///   if it's empty. This means that you can't use the Blob API delete directories
+///   recursively.
+///
+/// [1]: https://azure.microsoft.com/en-us/products/storage/blobs
+/// [2]: https://azure.microsoft.com/en-us/products/storage/data-lake-storage
+/// [3]:
+/// https://learn.microsoft.com/en-us/azure/storage/blobs/data-lake-storage-known-issues
+class ARROW_EXPORT AzureFileSystem : public FileSystem {
+ private:
+  class Impl;
+  std::unique_ptr<Impl> impl_;
+
+  explicit AzureFileSystem(std::unique_ptr<Impl>&& impl);
+
+  friend class TestAzureFileSystem;
+  void ForceCachedHierarchicalNamespaceSupport(int hns_support);
+
+ public:
+  ~AzureFileSystem() override = default;
+
+  static Result<std::shared_ptr<AzureFileSystem>> Make(
+      const AzureOptions& options, const io::IOContext& = io::default_io_context());
+
+  std::string type_name() const override { return "abfs"; }
+
+  /// Return the original Azure options when constructing the filesystem
+  const AzureOptions& options() const;
+
+  bool Equals(const FileSystem& other) const override;
+
+  Result<FileInfo> GetFileInfo(const std::string& path) override;
+
+  Result<FileInfoVector> GetFileInfo(const FileSelector& select) override;
+
+  Status CreateDir(const std::string& path, bool recursive = true) override;
+
+  Status DeleteDir(const std::string& path) override;
+
+  Status DeleteDirContents(const std::string& path, bool missing_dir_ok = false) override;
+
+  Status DeleteRootDirContents() override;
+
+  Status DeleteFile(const std::string& path) override;
+
+  Status Move(const std::string& src, const std::string& dest) override;
+
+  Status CopyFile(const std::string& src, const std::string& dest) override;
+
+  Result<std::shared_ptr<io::InputStream>> OpenInputStream(
+      const std::string& path) override;
+
+  Result<std::shared_ptr<io::InputStream>> OpenInputStream(const FileInfo& info) override;
+
+  Result<std::shared_ptr<io::RandomAccessFile>> OpenInputFile(
+      const std::string& path) override;
+
+  Result<std::shared_ptr<io::RandomAccessFile>> OpenInputFile(
+      const FileInfo& info) override;
+
+  Result<std::shared_ptr<io::OutputStream>> OpenOutputStream(
+      const std::string& path,
+      const std::shared_ptr<const KeyValueMetadata>& metadata = {}) override;
+
+  Result<std::shared_ptr<io::OutputStream>> OpenAppendStream(
+      const std::string& path,
+      const std::shared_ptr<const KeyValueMetadata>& metadata = {}) override;
+};
+
+}  // namespace arrow::fs

env-llmeval/lib/python3.10/site-packages/pyarrow/include/arrow/filesystem/filesystem.h

@@ -0,0 +1,565 @@
+// 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 <chrono>
+#include <cstdint>
+#include <functional>
+#include <iosfwd>
+#include <memory>
+#include <string>
+#include <utility>
+#include <vector>
+
+#include "arrow/filesystem/type_fwd.h"
+#include "arrow/io/interfaces.h"
+#include "arrow/type_fwd.h"
+#include "arrow/util/compare.h"
+#include "arrow/util/macros.h"
+#include "arrow/util/type_fwd.h"
+#include "arrow/util/visibility.h"
+#include "arrow/util/windows_fixup.h"
+
+namespace arrow {
+namespace fs {
+
+// A system clock time point expressed as a 64-bit (or more) number of
+// nanoseconds since the epoch.
+using TimePoint =
+    std::chrono::time_point<std::chrono::system_clock, std::chrono::nanoseconds>;
+
+ARROW_EXPORT std::string ToString(FileType);
+
+ARROW_EXPORT std::ostream& operator<<(std::ostream& os, FileType);
+
+static const int64_t kNoSize = -1;
+static const TimePoint kNoTime = TimePoint(TimePoint::duration(-1));
+
+/// \brief FileSystem entry info
+struct ARROW_EXPORT FileInfo : public util::EqualityComparable<FileInfo> {
+  FileInfo() = default;
+  FileInfo(FileInfo&&) = default;
+  FileInfo& operator=(FileInfo&&) = default;
+  FileInfo(const FileInfo&) = default;
+  FileInfo& operator=(const FileInfo&) = default;
+
+  explicit FileInfo(std::string path, FileType type = FileType::Unknown)
+      : path_(std::move(path)), type_(type) {}
+
+  /// The file type
+  FileType type() const { return type_; }
+  void set_type(FileType type) { type_ = type; }
+
+  /// The full file path in the filesystem
+  const std::string& path() const { return path_; }
+  void set_path(std::string path) { path_ = std::move(path); }
+
+  /// The file base name (component after the last directory separator)
+  std::string base_name() const;
+
+  // The directory base name (component before the file base name).
+  std::string dir_name() const;
+
+  /// The size in bytes, if available
+  ///
+  /// Only regular files are guaranteed to have a size.
+  int64_t size() const { return size_; }
+  void set_size(int64_t size) { size_ = size; }
+
+  /// The file extension (excluding the dot)
+  std::string extension() const;
+
+  /// The time of last modification, if available
+  TimePoint mtime() const { return mtime_; }
+  void set_mtime(TimePoint mtime) { mtime_ = mtime; }
+
+  bool IsFile() const { return type_ == FileType::File; }
+  bool IsDirectory() const { return type_ == FileType::Directory; }
+
+  bool Equals(const FileInfo& other) const {
+    return type() == other.type() && path() == other.path() && size() == other.size() &&
+           mtime() == other.mtime();
+  }
+
+  std::string ToString() const;
+
+  /// Function object implementing less-than comparison and hashing by
+  /// path, to support sorting infos, using them as keys, and other
+  /// interactions with the STL.
+  struct ByPath {
+    bool operator()(const FileInfo& l, const FileInfo& r) const {
+      return l.path() < r.path();
+    }
+
+    size_t operator()(const FileInfo& i) const {
+      return std::hash<std::string>{}(i.path());
+    }
+  };
+
+ protected:
+  std::string path_;
+  FileType type_ = FileType::Unknown;
+  int64_t size_ = kNoSize;
+  TimePoint mtime_ = kNoTime;
+};
+
+ARROW_EXPORT std::ostream& operator<<(std::ostream& os, const FileInfo&);
+
+/// \brief File selector for filesystem APIs
+struct ARROW_EXPORT FileSelector {
+  /// The directory in which to select files.
+  /// If the path exists but doesn't point to a directory, this should be an error.
+  std::string base_dir;
+  /// The behavior if `base_dir` isn't found in the filesystem.  If false,
+  /// an error is returned.  If true, an empty selection is returned.
+  bool allow_not_found;
+  /// Whether to recurse into subdirectories.
+  bool recursive;
+  /// The maximum number of subdirectories to recurse into.
+  int32_t max_recursion;
+
+  FileSelector() : allow_not_found(false), recursive(false), max_recursion(INT32_MAX) {}
+};
+
+/// \brief FileSystem, path pair
+struct ARROW_EXPORT FileLocator {
+  std::shared_ptr<FileSystem> filesystem;
+  std::string path;
+};
+
+using FileInfoVector = std::vector<FileInfo>;
+using FileInfoGenerator = std::function<Future<FileInfoVector>()>;
+
+}  // namespace fs
+
+template <>
+struct IterationTraits<fs::FileInfoVector> {
+  static fs::FileInfoVector End() { return {}; }
+  static bool IsEnd(const fs::FileInfoVector& val) { return val.empty(); }
+};
+
+namespace fs {
+
+/// \brief Abstract file system API
+class ARROW_EXPORT FileSystem : public std::enable_shared_from_this<FileSystem> {
+ public:
+  virtual ~FileSystem();
+
+  virtual std::string type_name() const = 0;
+
+  /// EXPERIMENTAL: The IOContext associated with this filesystem.
+  const io::IOContext& io_context() const { return io_context_; }
+
+  /// Normalize path for the given filesystem
+  ///
+  /// The default implementation of this method is a no-op, but subclasses
+  /// may allow normalizing irregular path forms (such as Windows local paths).
+  virtual Result<std::string> NormalizePath(std::string path);
+
+  /// \brief Ensure a URI (or path) is compatible with the given filesystem and return the
+  ///        path
+  ///
+  /// \param uri_string A URI representing a resource in the given filesystem.
+  ///
+  /// This method will check to ensure the given filesystem is compatible with the
+  /// URI. This can be useful when the user provides both a URI and a filesystem or
+  /// when a user provides multiple URIs that should be compatible with the same
+  /// filesystem.
+  ///
+  /// uri_string can be an absolute path instead of a URI.  In that case it will ensure
+  /// the filesystem (if supplied) is the local filesystem (or some custom filesystem that
+  /// is capable of reading local paths) and will normalize the path's file separators.
+  ///
+  /// Note, this method only checks to ensure the URI scheme is valid.  It will not detect
+  /// inconsistencies like a mismatching region or endpoint override.
+  ///
+  /// \return The path inside the filesystem that is indicated by the URI.
+  virtual Result<std::string> PathFromUri(const std::string& uri_string) const;
+
+  virtual bool Equals(const FileSystem& other) const = 0;
+
+  virtual bool Equals(const std::shared_ptr<FileSystem>& other) const {
+    return Equals(*other);
+  }
+
+  /// Get info for the given target.
+  ///
+  /// Any symlink is automatically dereferenced, recursively.
+  /// A nonexistent or unreachable file returns an Ok status and
+  /// has a FileType of value NotFound.  An error status indicates
+  /// a truly exceptional condition (low-level I/O error, etc.).
+  virtual Result<FileInfo> GetFileInfo(const std::string& path) = 0;
+  /// Same, for many targets at once.
+  virtual Result<FileInfoVector> GetFileInfo(const std::vector<std::string>& paths);
+  /// Same, according to a selector.
+  ///
+  /// The selector's base directory will not be part of the results, even if
+  /// it exists.
+  /// If it doesn't exist, see `FileSelector::allow_not_found`.
+  virtual Result<FileInfoVector> GetFileInfo(const FileSelector& select) = 0;
+
+  /// Async version of GetFileInfo
+  virtual Future<FileInfoVector> GetFileInfoAsync(const std::vector<std::string>& paths);
+
+  /// Streaming async version of GetFileInfo
+  ///
+  /// The returned generator is not async-reentrant, i.e. you need to wait for
+  /// the returned future to complete before calling the generator again.
+  virtual FileInfoGenerator GetFileInfoGenerator(const FileSelector& select);
+
+  /// Create a directory and subdirectories.
+  ///
+  /// This function succeeds if the directory already exists.
+  virtual Status CreateDir(const std::string& path, bool recursive = true) = 0;
+
+  /// Delete a directory and its contents, recursively.
+  virtual Status DeleteDir(const std::string& path) = 0;
+
+  /// Delete a directory's contents, recursively.
+  ///
+  /// Like DeleteDir, but doesn't delete the directory itself.
+  /// Passing an empty path ("" or "/") is disallowed, see DeleteRootDirContents.
+  virtual Status DeleteDirContents(const std::string& path,
+                                   bool missing_dir_ok = false) = 0;
+
+  /// Async version of DeleteDirContents.
+  virtual Future<> DeleteDirContentsAsync(const std::string& path,
+                                          bool missing_dir_ok = false);
+
+  /// EXPERIMENTAL: Delete the root directory's contents, recursively.
+  ///
+  /// Implementations may decide to raise an error if this operation is
+  /// too dangerous.
+  // NOTE: may decide to remove this if it's deemed not useful
+  virtual Status DeleteRootDirContents() = 0;
+
+  /// Delete a file.
+  virtual Status DeleteFile(const std::string& path) = 0;
+  /// Delete many files.
+  ///
+  /// The default implementation issues individual delete operations in sequence.
+  virtual Status DeleteFiles(const std::vector<std::string>& paths);
+
+  /// Move / rename a file or directory.
+  ///
+  /// If the destination exists:
+  /// - if it is a non-empty directory, an error is returned
+  /// - otherwise, if it has the same type as the source, it is replaced
+  /// - otherwise, behavior is unspecified (implementation-dependent).
+  virtual Status Move(const std::string& src, const std::string& dest) = 0;
+
+  /// Copy a file.
+  ///
+  /// If the destination exists and is a directory, an error is returned.
+  /// Otherwise, it is replaced.
+  virtual Status CopyFile(const std::string& src, const std::string& dest) = 0;
+
+  /// Open an input stream for sequential reading.
+  virtual Result<std::shared_ptr<io::InputStream>> OpenInputStream(
+      const std::string& path) = 0;
+  /// Open an input stream for sequential reading.
+  ///
+  /// This override assumes the given FileInfo validly represents the file's
+  /// characteristics, and may optimize access depending on them (for example
+  /// avoid querying the file size or its existence).
+  virtual Result<std::shared_ptr<io::InputStream>> OpenInputStream(const FileInfo& info);
+
+  /// Open an input file for random access reading.
+  virtual Result<std::shared_ptr<io::RandomAccessFile>> OpenInputFile(
+      const std::string& path) = 0;
+  /// Open an input file for random access reading.
+  ///
+  /// This override assumes the given FileInfo validly represents the file's
+  /// characteristics, and may optimize access depending on them (for example
+  /// avoid querying the file size or its existence).
+  virtual Result<std::shared_ptr<io::RandomAccessFile>> OpenInputFile(
+      const FileInfo& info);
+
+  /// Async version of OpenInputStream
+  virtual Future<std::shared_ptr<io::InputStream>> OpenInputStreamAsync(
+      const std::string& path);
+  /// Async version of OpenInputStream
+  virtual Future<std::shared_ptr<io::InputStream>> OpenInputStreamAsync(
+      const FileInfo& info);
+
+  /// Async version of OpenInputFile
+  virtual Future<std::shared_ptr<io::RandomAccessFile>> OpenInputFileAsync(
+      const std::string& path);
+  /// Async version of OpenInputFile
+  virtual Future<std::shared_ptr<io::RandomAccessFile>> OpenInputFileAsync(
+      const FileInfo& info);
+
+  /// Open an output stream for sequential writing.
+  ///
+  /// If the target already exists, existing data is truncated.
+  virtual Result<std::shared_ptr<io::OutputStream>> OpenOutputStream(
+      const std::string& path,
+      const std::shared_ptr<const KeyValueMetadata>& metadata) = 0;
+  Result<std::shared_ptr<io::OutputStream>> OpenOutputStream(const std::string& path);
+
+  /// Open an output stream for appending.
+  ///
+  /// If the target doesn't exist, a new empty file is created.
+  ///
+  /// Note: some filesystem implementations do not support efficient appending
+  /// to an existing file, in which case this method will return NotImplemented.
+  /// Consider writing to multiple files (using e.g. the dataset layer) instead.
+  virtual Result<std::shared_ptr<io::OutputStream>> OpenAppendStream(
+      const std::string& path,
+      const std::shared_ptr<const KeyValueMetadata>& metadata) = 0;
+  Result<std::shared_ptr<io::OutputStream>> OpenAppendStream(const std::string& path);
+
+ protected:
+  explicit FileSystem(io::IOContext io_context = io::default_io_context())
+      : io_context_(std::move(io_context)) {}
+
+  io::IOContext io_context_;
+  // Whether metadata operations (such as GetFileInfo or OpenInputStream)
+  // are cheap enough that the default async variants don't bother with
+  // a thread pool.
+  bool default_async_is_sync_ = true;
+};
+
+/// \brief A FileSystem implementation that delegates to another
+/// implementation after prepending a fixed base path.
+///
+/// This is useful to expose a logical view of a subtree of a filesystem,
+/// for example a directory in a LocalFileSystem.
+/// This works on abstract paths, i.e. paths using forward slashes and
+/// and a single root "/".  Windows paths are not guaranteed to work.
+/// This makes no security guarantee.  For example, symlinks may allow to
+/// "escape" the subtree and access other parts of the underlying filesystem.
+class ARROW_EXPORT SubTreeFileSystem : public FileSystem {
+ public:
+  // This constructor may abort if base_path is invalid.
+  explicit SubTreeFileSystem(const std::string& base_path,
+                             std::shared_ptr<FileSystem> base_fs);
+  ~SubTreeFileSystem() override;
+
+  std::string type_name() const override { return "subtree"; }
+  std::string base_path() const { return base_path_; }
+  std::shared_ptr<FileSystem> base_fs() const { return base_fs_; }
+
+  Result<std::string> NormalizePath(std::string path) override;
+  Result<std::string> PathFromUri(const std::string& uri_string) const override;
+
+  bool Equals(const FileSystem& other) const override;
+
+  /// \cond FALSE
+  using FileSystem::GetFileInfo;
+  /// \endcond
+  Result<FileInfo> GetFileInfo(const std::string& path) override;
+  Result<FileInfoVector> GetFileInfo(const FileSelector& select) override;
+
+  FileInfoGenerator GetFileInfoGenerator(const FileSelector& select) override;
+
+  Status CreateDir(const std::string& path, bool recursive = true) override;
+
+  Status DeleteDir(const std::string& path) override;
+  Status DeleteDirContents(const std::string& path, bool missing_dir_ok = false) override;
+  Status DeleteRootDirContents() override;
+
+  Status DeleteFile(const std::string& path) override;
+
+  Status Move(const std::string& src, const std::string& dest) override;
+
+  Status CopyFile(const std::string& src, const std::string& dest) override;
+
+  Result<std::shared_ptr<io::InputStream>> OpenInputStream(
+      const std::string& path) override;
+  Result<std::shared_ptr<io::InputStream>> OpenInputStream(const FileInfo& info) override;
+  Result<std::shared_ptr<io::RandomAccessFile>> OpenInputFile(
+      const std::string& path) override;
+  Result<std::shared_ptr<io::RandomAccessFile>> OpenInputFile(
+      const FileInfo& info) override;
+
+  Future<std::shared_ptr<io::InputStream>> OpenInputStreamAsync(
+      const std::string& path) override;
+  Future<std::shared_ptr<io::InputStream>> OpenInputStreamAsync(
+      const FileInfo& info) override;
+  Future<std::shared_ptr<io::RandomAccessFile>> OpenInputFileAsync(
+      const std::string& path) override;
+  Future<std::shared_ptr<io::RandomAccessFile>> OpenInputFileAsync(
+      const FileInfo& info) override;
+
+  Result<std::shared_ptr<io::OutputStream>> OpenOutputStream(
+      const std::string& path,
+      const std::shared_ptr<const KeyValueMetadata>& metadata = {}) override;
+  Result<std::shared_ptr<io::OutputStream>> OpenAppendStream(
+      const std::string& path,
+      const std::shared_ptr<const KeyValueMetadata>& metadata = {}) override;
+
+ protected:
+  SubTreeFileSystem() {}
+
+  const std::string base_path_;
+  std::shared_ptr<FileSystem> base_fs_;
+
+  Result<std::string> PrependBase(const std::string& s) const;
+  Result<std::string> PrependBaseNonEmpty(const std::string& s) const;
+  Result<std::string> StripBase(const std::string& s) const;
+  Status FixInfo(FileInfo* info) const;
+
+  static Result<std::string> NormalizeBasePath(
+      std::string base_path, const std::shared_ptr<FileSystem>& base_fs);
+};
+
+/// \brief A FileSystem implementation that delegates to another
+/// implementation but inserts latencies at various points.
+class ARROW_EXPORT SlowFileSystem : public FileSystem {
+ public:
+  SlowFileSystem(std::shared_ptr<FileSystem> base_fs,
+                 std::shared_ptr<io::LatencyGenerator> latencies);
+  SlowFileSystem(std::shared_ptr<FileSystem> base_fs, double average_latency);
+  SlowFileSystem(std::shared_ptr<FileSystem> base_fs, double average_latency,
+                 int32_t seed);
+
+  std::string type_name() const override { return "slow"; }
+  bool Equals(const FileSystem& other) const override;
+  Result<std::string> PathFromUri(const std::string& uri_string) const override;
+
+  using FileSystem::GetFileInfo;
+  Result<FileInfo> GetFileInfo(const std::string& path) override;
+  Result<FileInfoVector> GetFileInfo(const FileSelector& select) override;
+
+  Status CreateDir(const std::string& path, bool recursive = true) override;
+
+  Status DeleteDir(const std::string& path) override;
+  Status DeleteDirContents(const std::string& path, bool missing_dir_ok = false) override;
+  Status DeleteRootDirContents() override;
+
+  Status DeleteFile(const std::string& path) override;
+
+  Status Move(const std::string& src, const std::string& dest) override;
+
+  Status CopyFile(const std::string& src, const std::string& dest) override;
+
+  Result<std::shared_ptr<io::InputStream>> OpenInputStream(
+      const std::string& path) override;
+  Result<std::shared_ptr<io::InputStream>> OpenInputStream(const FileInfo& info) override;
+  Result<std::shared_ptr<io::RandomAccessFile>> OpenInputFile(
+      const std::string& path) override;
+  Result<std::shared_ptr<io::RandomAccessFile>> OpenInputFile(
+      const FileInfo& info) override;
+  Result<std::shared_ptr<io::OutputStream>> OpenOutputStream(
+      const std::string& path,
+      const std::shared_ptr<const KeyValueMetadata>& metadata = {}) override;
+  Result<std::shared_ptr<io::OutputStream>> OpenAppendStream(
+      const std::string& path,
+      const std::shared_ptr<const KeyValueMetadata>& metadata = {}) override;
+
+ protected:
+  std::shared_ptr<FileSystem> base_fs_;
+  std::shared_ptr<io::LatencyGenerator> latencies_;
+};
+
+/// \defgroup filesystem-factories Functions for creating FileSystem instances
+///
+/// @{
+
+/// \brief Create a new FileSystem by URI
+///
+/// Recognized schemes are "file", "mock", "hdfs", "viewfs", "s3",
+/// "gs" and "gcs".
+///
+/// \param[in] uri a URI-based path, ex: file:///some/local/path
+/// \param[out] out_path (optional) Path inside the filesystem.
+/// \return out_fs FileSystem instance.
+ARROW_EXPORT
+Result<std::shared_ptr<FileSystem>> FileSystemFromUri(const std::string& uri,
+                                                      std::string* out_path = NULLPTR);
+
+/// \brief Create a new FileSystem by URI with a custom IO context
+///
+/// Recognized schemes are "file", "mock", "hdfs", "viewfs", "s3",
+/// "gs" and "gcs".
+///
+/// \param[in] uri a URI-based path, ex: file:///some/local/path
+/// \param[in] io_context an IOContext which will be associated with the filesystem
+/// \param[out] out_path (optional) Path inside the filesystem.
+/// \return out_fs FileSystem instance.
+ARROW_EXPORT
+Result<std::shared_ptr<FileSystem>> FileSystemFromUri(const std::string& uri,
+                                                      const io::IOContext& io_context,
+                                                      std::string* out_path = NULLPTR);
+
+/// \brief Create a new FileSystem by URI
+///
+/// Same as FileSystemFromUri, but in addition also recognize non-URIs
+/// and treat them as local filesystem paths.  Only absolute local filesystem
+/// paths are allowed.
+ARROW_EXPORT
+Result<std::shared_ptr<FileSystem>> FileSystemFromUriOrPath(
+    const std::string& uri, std::string* out_path = NULLPTR);
+
+/// \brief Create a new FileSystem by URI with a custom IO context
+///
+/// Same as FileSystemFromUri, but in addition also recognize non-URIs
+/// and treat them as local filesystem paths.  Only absolute local filesystem
+/// paths are allowed.
+ARROW_EXPORT
+Result<std::shared_ptr<FileSystem>> FileSystemFromUriOrPath(
+    const std::string& uri, const io::IOContext& io_context,
+    std::string* out_path = NULLPTR);
+
+/// @}
+
+/// \brief Copy files, including from one FileSystem to another
+///
+/// If a source and destination are resident in the same FileSystem FileSystem::CopyFile
+/// will be used, otherwise the file will be opened as a stream in both FileSystems and
+/// chunks copied from the source to the destination. No directories will be created.
+ARROW_EXPORT
+Status CopyFiles(const std::vector<FileLocator>& sources,
+                 const std::vector<FileLocator>& destinations,
+                 const io::IOContext& io_context = io::default_io_context(),
+                 int64_t chunk_size = 1024 * 1024, bool use_threads = true);
+
+/// \brief Copy selected files, including from one FileSystem to another
+///
+/// Directories will be created under the destination base directory as needed.
+ARROW_EXPORT
+Status CopyFiles(const std::shared_ptr<FileSystem>& source_fs,
+                 const FileSelector& source_sel,
+                 const std::shared_ptr<FileSystem>& destination_fs,
+                 const std::string& destination_base_dir,
+                 const io::IOContext& io_context = io::default_io_context(),
+                 int64_t chunk_size = 1024 * 1024, bool use_threads = true);
+
+struct FileSystemGlobalOptions {
+  /// Path to a single PEM file holding all TLS CA certificates
+  ///
+  /// If empty, the underlying TLS library's defaults will be used.
+  std::string tls_ca_file_path;
+
+  /// Path to a directory holding TLS CA certificates in individual PEM files
+  /// named along the OpenSSL "hashed" format.
+  ///
+  /// If empty, the underlying TLS library's defaults will be used.
+  std::string tls_ca_dir_path;
+};
+
+/// EXPERIMENTAL: optional global initialization routine
+///
+/// This is for environments (such as manylinux) where the path
+/// to TLS CA certificates needs to be configured at runtime.
+ARROW_EXPORT
+Status Initialize(const FileSystemGlobalOptions& options);
+
+}  // namespace fs
+}  // namespace arrow

env-llmeval/lib/python3.10/site-packages/pyarrow/include/arrow/filesystem/gcsfs.h

@@ -0,0 +1,247 @@
+// 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 <memory>
+#include <optional>
+#include <string>
+#include <vector>
+
+#include "arrow/filesystem/filesystem.h"
+#include "arrow/util/uri.h"
+
+namespace arrow {
+namespace fs {
+namespace internal {
+
+// Opaque wrapper for GCS's library credentials to avoid exposing in Arrow headers.
+struct GcsCredentialsHolder;
+
+}  // namespace internal
+
+class GcsFileSystem;
+
+/// \brief Container for GCS Credentials and information necessary to recreate them.
+class ARROW_EXPORT GcsCredentials {
+ public:
+  bool Equals(const GcsCredentials& other) const;
+  bool anonymous() const { return anonymous_; }
+  const std::string& access_token() const { return access_token_; }
+  TimePoint expiration() const { return expiration_; }
+  const std::string& target_service_account() const { return target_service_account_; }
+  const std::string& json_credentials() const { return json_credentials_; }
+  const std::shared_ptr<internal::GcsCredentialsHolder>& holder() const {
+    return holder_;
+  }
+
+ private:
+  GcsCredentials() = default;
+  bool anonymous_ = false;
+  std::string access_token_;
+  TimePoint expiration_;
+  std::string target_service_account_;
+  std::string json_credentials_;
+  std::shared_ptr<internal::GcsCredentialsHolder> holder_;
+  friend class GcsFileSystem;
+  friend struct GcsOptions;
+};
+
+/// Options for the GcsFileSystem implementation.
+struct ARROW_EXPORT GcsOptions {
+  /// \brief Equivalent to GcsOptions::Defaults().
+  GcsOptions();
+  GcsCredentials credentials;
+
+  std::string endpoint_override;
+  std::string scheme;
+  /// \brief Location to use for creating buckets.
+  std::string default_bucket_location;
+
+  /// \brief If set used to control total time allowed for retrying underlying
+  /// errors.
+  ///
+  /// The default policy is to retry for up to 15 minutes.
+  std::optional<double> retry_limit_seconds;
+
+  /// \brief Default metadata for OpenOutputStream.
+  ///
+  /// This will be ignored if non-empty metadata is passed to OpenOutputStream.
+  std::shared_ptr<const KeyValueMetadata> default_metadata;
+
+  /// \brief The project to use for creating buckets.
+  ///
+  /// If not set, the library uses the GOOGLE_CLOUD_PROJECT environment
+  /// variable. Most I/O operations do not need a project id, only applications
+  /// that create new buckets need a project id.
+  std::optional<std::string> project_id;
+
+  bool Equals(const GcsOptions& other) const;
+
+  /// \brief Initialize with Google Default Credentials
+  ///
+  /// Create options configured to use [Application Default Credentials][aip/4110]. The
+  /// details of this mechanism are too involved to describe here, but suffice is to say
+  /// that applications can override any defaults using an environment variable
+  /// (`GOOGLE_APPLICATION_CREDENTIALS`), and that the defaults work with most Google
+  /// Cloud Platform deployment environments (GCE, GKE, Cloud Run, etc.), and that have
+  /// the same behavior as the `gcloud` CLI tool on your workstation.
+  ///
+  /// \see https://cloud.google.com/docs/authentication
+  ///
+  /// [aip/4110]: https://google.aip.dev/auth/4110
+  static GcsOptions Defaults();
+
+  /// \brief Initialize with anonymous credentials
+  static GcsOptions Anonymous();
+
+  /// \brief Initialize with access token
+  ///
+  /// These credentials are useful when using an out-of-band mechanism to fetch access
+  /// tokens. Note that access tokens are time limited, you will need to manually refresh
+  /// the tokens created by the out-of-band mechanism.
+  static GcsOptions FromAccessToken(const std::string& access_token,
+                                    TimePoint expiration);
+
+  /// \brief Initialize with service account impersonation
+  ///
+  /// Service account impersonation allows one principal (a user or service account) to
+  /// impersonate a service account. It requires that the calling principal has the
+  /// necessary permissions *on* the service account.
+  static GcsOptions FromImpersonatedServiceAccount(
+      const GcsCredentials& base_credentials, const std::string& target_service_account);
+
+  /// Creates service account credentials from a JSON object in string form.
+  ///
+  /// The @p json_object  is expected to be in the format described by [aip/4112]. Such an
+  /// object contains the identity of a service account, as well as a private key that can
+  /// be used to sign tokens, showing the caller was holding the private key.
+  ///
+  /// In GCP one can create several "keys" for each service account, and these keys are
+  /// downloaded as a JSON "key file". The contents of such a file are in the format
+  /// required by this function. Remember that key files and their contents should be
+  /// treated as any other secret with security implications, think of them as passwords
+  /// (because they are!), don't store them or output them where unauthorized persons may
+  /// read them.
+  ///
+  /// Most applications should probably use default credentials, maybe pointing them to a
+  /// file with these contents. Using this function may be useful when the json object is
+  /// obtained from a Cloud Secret Manager or a similar service.
+  ///
+  /// [aip/4112]: https://google.aip.dev/auth/4112
+  static GcsOptions FromServiceAccountCredentials(const std::string& json_object);
+
+  /// Initialize from URIs such as "gs://bucket/object".
+  static Result<GcsOptions> FromUri(const arrow::internal::Uri& uri,
+                                    std::string* out_path);
+  static Result<GcsOptions> FromUri(const std::string& uri, std::string* out_path);
+};
+
+/// \brief GCS-backed FileSystem implementation.
+///
+/// GCS (Google Cloud Storage - https://cloud.google.com/storage) is a scalable object
+/// storage system for any amount of data. The main abstractions in GCS are buckets and
+/// objects. A bucket is a namespace for objects, buckets can store any number of objects,
+/// tens of millions and even billions is not uncommon.  Each object contains a single
+/// blob of data, up to 5TiB in size.  Buckets are typically configured to keep a single
+/// version of each object, but versioning can be enabled. Versioning is important because
+/// objects are immutable, once created one cannot append data to the object or modify the
+/// object data in any way.
+///
+/// GCS buckets are in a global namespace, if a Google Cloud customer creates a bucket
+/// named `foo` no other customer can create a bucket with the same name. Note that a
+/// principal (a user or service account) may only list the buckets they are entitled to,
+/// and then only within a project. It is not possible to list "all" the buckets.
+///
+/// Within each bucket objects are in flat namespace. GCS does not have folders or
+/// directories. However, following some conventions it is possible to emulate
+/// directories. To this end, this class:
+///
+/// - All buckets are treated as directories at the "root"
+/// - Creating a root directory results in a new bucket being created, this may be slower
+///   than most GCS operations.
+/// - The class creates marker objects for a directory, using a metadata attribute to
+///   annotate the file.
+/// - GCS can list all the objects with a given prefix, this is used to emulate listing
+///   of directories.
+/// - In object lists GCS can summarize all the objects with a common prefix as a single
+///   entry, this is used to emulate non-recursive lists. Note that GCS list time is
+///   proportional to the number of objects in the prefix. Listing recursively takes
+///   almost the same time as non-recursive lists.
+///
+class ARROW_EXPORT GcsFileSystem : public FileSystem {
+ public:
+  ~GcsFileSystem() override = default;
+
+  std::string type_name() const override;
+  const GcsOptions& options() const;
+
+  bool Equals(const FileSystem& other) const override;
+  Result<std::string> PathFromUri(const std::string& uri_string) const override;
+
+  Result<FileInfo> GetFileInfo(const std::string& path) override;
+  Result<FileInfoVector> GetFileInfo(const FileSelector& select) override;
+
+  Status CreateDir(const std::string& path, bool recursive) override;
+
+  Status DeleteDir(const std::string& path) override;
+
+  Status DeleteDirContents(const std::string& path, bool missing_dir_ok = false) override;
+
+  /// This is not implemented in GcsFileSystem, as it would be too dangerous.
+  Status DeleteRootDirContents() override;
+
+  Status DeleteFile(const std::string& path) override;
+
+  Status Move(const std::string& src, const std::string& dest) override;
+
+  Status CopyFile(const std::string& src, const std::string& dest) override;
+
+  Result<std::shared_ptr<io::InputStream>> OpenInputStream(
+      const std::string& path) override;
+  Result<std::shared_ptr<io::InputStream>> OpenInputStream(const FileInfo& info) override;
+
+  Result<std::shared_ptr<io::RandomAccessFile>> OpenInputFile(
+      const std::string& path) override;
+  Result<std::shared_ptr<io::RandomAccessFile>> OpenInputFile(
+      const FileInfo& info) override;
+
+  Result<std::shared_ptr<io::OutputStream>> OpenOutputStream(
+      const std::string& path,
+      const std::shared_ptr<const KeyValueMetadata>& metadata) override;
+
+  ARROW_DEPRECATED(
+      "Deprecated. "
+      "OpenAppendStream is unsupported on the GCS FileSystem.")
+  Result<std::shared_ptr<io::OutputStream>> OpenAppendStream(
+      const std::string& path,
+      const std::shared_ptr<const KeyValueMetadata>& metadata) override;
+
+  /// Create a GcsFileSystem instance from the given options.
+  // TODO(ARROW-16884): make this return Result for consistency
+  static std::shared_ptr<GcsFileSystem> Make(
+      const GcsOptions& options, const io::IOContext& = io::default_io_context());
+
+ private:
+  explicit GcsFileSystem(const GcsOptions& options, const io::IOContext& io_context);
+
+  class Impl;
+  std::shared_ptr<Impl> impl_;
+};
+
+}  // namespace fs
+}  // namespace arrow

env-llmeval/lib/python3.10/site-packages/pyarrow/include/arrow/filesystem/hdfs.h

@@ -0,0 +1,114 @@
+// 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 <memory>
+#include <string>
+#include <vector>
+
+#include "arrow/filesystem/filesystem.h"
+#include "arrow/io/hdfs.h"
+#include "arrow/util/uri.h"
+
+namespace arrow {
+namespace fs {
+
+/// Options for the HDFS implementation.
+struct ARROW_EXPORT HdfsOptions {
+  HdfsOptions() = default;
+  ~HdfsOptions() = default;
+
+  /// Hdfs configuration options, contains host, port, driver
+  io::HdfsConnectionConfig connection_config;
+
+  /// Used by Hdfs OpenWritable Interface.
+  int32_t buffer_size = 0;
+  int16_t replication = 3;
+  int64_t default_block_size = 0;
+
+  void ConfigureEndPoint(std::string host, int port);
+  void ConfigureReplication(int16_t replication);
+  void ConfigureUser(std::string user_name);
+  void ConfigureBufferSize(int32_t buffer_size);
+  void ConfigureBlockSize(int64_t default_block_size);
+  void ConfigureKerberosTicketCachePath(std::string path);
+  void ConfigureExtraConf(std::string key, std::string val);
+
+  bool Equals(const HdfsOptions& other) const;
+
+  static Result<HdfsOptions> FromUri(const ::arrow::internal::Uri& uri);
+  static Result<HdfsOptions> FromUri(const std::string& uri);
+};
+
+/// HDFS-backed FileSystem implementation.
+///
+/// implementation notes:
+/// - This is a wrapper of arrow/io/hdfs, so we can use FileSystem API to handle hdfs.
+class ARROW_EXPORT HadoopFileSystem : public FileSystem {
+ public:
+  ~HadoopFileSystem() override;
+
+  std::string type_name() const override { return "hdfs"; }
+  HdfsOptions options() const;
+  bool Equals(const FileSystem& other) const override;
+  Result<std::string> PathFromUri(const std::string& uri_string) const override;
+
+  /// \cond FALSE
+  using FileSystem::GetFileInfo;
+  /// \endcond
+  Result<FileInfo> GetFileInfo(const std::string& path) override;
+  Result<std::vector<FileInfo>> GetFileInfo(const FileSelector& select) override;
+
+  Status CreateDir(const std::string& path, bool recursive = true) override;
+
+  Status DeleteDir(const std::string& path) override;
+
+  Status DeleteDirContents(const std::string& path, bool missing_dir_ok = false) override;
+
+  Status DeleteRootDirContents() override;
+
+  Status DeleteFile(const std::string& path) override;
+
+  Status Move(const std::string& src, const std::string& dest) override;
+
+  Status CopyFile(const std::string& src, const std::string& dest) override;
+
+  Result<std::shared_ptr<io::InputStream>> OpenInputStream(
+      const std::string& path) override;
+  Result<std::shared_ptr<io::RandomAccessFile>> OpenInputFile(
+      const std::string& path) override;
+  Result<std::shared_ptr<io::OutputStream>> OpenOutputStream(
+      const std::string& path,
+      const std::shared_ptr<const KeyValueMetadata>& metadata = {}) override;
+  Result<std::shared_ptr<io::OutputStream>> OpenAppendStream(
+      const std::string& path,
+      const std::shared_ptr<const KeyValueMetadata>& metadata = {}) override;
+
+  /// Create a HdfsFileSystem instance from the given options.
+  static Result<std::shared_ptr<HadoopFileSystem>> Make(
+      const HdfsOptions& options, const io::IOContext& = io::default_io_context());
+
+ protected:
+  HadoopFileSystem(const HdfsOptions& options, const io::IOContext&);
+
+  class Impl;
+  std::unique_ptr<Impl> impl_;
+};
+
+}  // namespace fs
+}  // namespace arrow

env-llmeval/lib/python3.10/site-packages/pyarrow/include/arrow/filesystem/localfs.h

@@ -0,0 +1,126 @@
+// 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 <memory>
+#include <string>
+#include <vector>
+
+#include "arrow/filesystem/filesystem.h"
+
+namespace arrow {
+namespace internal {
+
+class Uri;
+
+}
+
+namespace fs {
+
+/// Options for the LocalFileSystem implementation.
+struct ARROW_EXPORT LocalFileSystemOptions {
+  static constexpr int32_t kDefaultDirectoryReadahead = 16;
+  static constexpr int32_t kDefaultFileInfoBatchSize = 1000;
+
+  /// Whether OpenInputStream and OpenInputFile return a mmap'ed file,
+  /// or a regular one.
+  bool use_mmap = false;
+
+  /// Options related to `GetFileInfoGenerator` interface.
+
+  /// EXPERIMENTAL: The maximum number of directories processed in parallel
+  /// by `GetFileInfoGenerator`.
+  int32_t directory_readahead = kDefaultDirectoryReadahead;
+
+  /// EXPERIMENTAL: The maximum number of entries aggregated into each
+  /// FileInfoVector chunk by `GetFileInfoGenerator`.
+  ///
+  /// Since each FileInfo entry needs a separate `stat` system call, a
+  /// directory with a very large number of files may take a lot of time to
+  /// process entirely. By generating a FileInfoVector after this chunk
+  /// size is reached, we ensure FileInfo entries can start being consumed
+  /// from the FileInfoGenerator with less initial latency.
+  int32_t file_info_batch_size = kDefaultFileInfoBatchSize;
+
+  /// \brief Initialize with defaults
+  static LocalFileSystemOptions Defaults();
+
+  bool Equals(const LocalFileSystemOptions& other) const;
+
+  static Result<LocalFileSystemOptions> FromUri(const ::arrow::internal::Uri& uri,
+                                                std::string* out_path);
+};
+
+/// \brief A FileSystem implementation accessing files on the local machine.
+///
+/// This class handles only `/`-separated paths.  If desired, conversion
+/// from Windows backslash-separated paths should be done by the caller.
+/// Details such as symlinks are abstracted away (symlinks are always
+/// followed, except when deleting an entry).
+class ARROW_EXPORT LocalFileSystem : public FileSystem {
+ public:
+  explicit LocalFileSystem(const io::IOContext& = io::default_io_context());
+  explicit LocalFileSystem(const LocalFileSystemOptions&,
+                           const io::IOContext& = io::default_io_context());
+  ~LocalFileSystem() override;
+
+  std::string type_name() const override { return "local"; }
+
+  Result<std::string> NormalizePath(std::string path) override;
+  Result<std::string> PathFromUri(const std::string& uri_string) const override;
+
+  bool Equals(const FileSystem& other) const override;
+
+  LocalFileSystemOptions options() const { return options_; }
+
+  /// \cond FALSE
+  using FileSystem::GetFileInfo;
+  /// \endcond
+  Result<FileInfo> GetFileInfo(const std::string& path) override;
+  Result<std::vector<FileInfo>> GetFileInfo(const FileSelector& select) override;
+  FileInfoGenerator GetFileInfoGenerator(const FileSelector& select) override;
+
+  Status CreateDir(const std::string& path, bool recursive = true) override;
+
+  Status DeleteDir(const std::string& path) override;
+  Status DeleteDirContents(const std::string& path, bool missing_dir_ok = false) override;
+  Status DeleteRootDirContents() override;
+
+  Status DeleteFile(const std::string& path) override;
+
+  Status Move(const std::string& src, const std::string& dest) override;
+
+  Status CopyFile(const std::string& src, const std::string& dest) override;
+
+  Result<std::shared_ptr<io::InputStream>> OpenInputStream(
+      const std::string& path) override;
+  Result<std::shared_ptr<io::RandomAccessFile>> OpenInputFile(
+      const std::string& path) override;
+  Result<std::shared_ptr<io::OutputStream>> OpenOutputStream(
+      const std::string& path,
+      const std::shared_ptr<const KeyValueMetadata>& metadata = {}) override;
+  Result<std::shared_ptr<io::OutputStream>> OpenAppendStream(
+      const std::string& path,
+      const std::shared_ptr<const KeyValueMetadata>& metadata = {}) override;
+
+ protected:
+  LocalFileSystemOptions options_;
+};
+
+}  // namespace fs
+}  // namespace arrow

env-llmeval/lib/python3.10/site-packages/pyarrow/include/arrow/filesystem/mockfs.h

@@ -0,0 +1,133 @@
+// 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 <iosfwd>
+#include <memory>
+#include <string>
+#include <string_view>
+#include <vector>
+
+#include "arrow/filesystem/filesystem.h"
+#include "arrow/util/windows_fixup.h"
+
+namespace arrow {
+namespace fs {
+namespace internal {
+
+struct MockDirInfo {
+  std::string full_path;
+  TimePoint mtime;
+
+  bool operator==(const MockDirInfo& other) const {
+    return mtime == other.mtime && full_path == other.full_path;
+  }
+
+  ARROW_FRIEND_EXPORT friend std::ostream& operator<<(std::ostream&, const MockDirInfo&);
+};
+
+struct MockFileInfo {
+  std::string full_path;
+  TimePoint mtime;
+  std::string_view data;
+
+  bool operator==(const MockFileInfo& other) const {
+    return mtime == other.mtime && full_path == other.full_path && data == other.data;
+  }
+
+  ARROW_FRIEND_EXPORT friend std::ostream& operator<<(std::ostream&, const MockFileInfo&);
+};
+
+/// A mock FileSystem implementation that holds its contents in memory.
+///
+/// Useful for validating the FileSystem API, writing conformance suite,
+/// and bootstrapping FileSystem-based APIs.
+class ARROW_EXPORT MockFileSystem : public FileSystem {
+ public:
+  explicit MockFileSystem(TimePoint current_time,
+                          const io::IOContext& = io::default_io_context());
+  ~MockFileSystem() override;
+
+  std::string type_name() const override { return "mock"; }
+
+  bool Equals(const FileSystem& other) const override;
+  Result<std::string> PathFromUri(const std::string& uri_string) const override;
+
+  // XXX It's not very practical to have to explicitly declare inheritance
+  // of default overrides.
+  using FileSystem::GetFileInfo;
+  Result<FileInfo> GetFileInfo(const std::string& path) override;
+  Result<std::vector<FileInfo>> GetFileInfo(const FileSelector& select) override;
+
+  Status CreateDir(const std::string& path, bool recursive = true) override;
+
+  Status DeleteDir(const std::string& path) override;
+  Status DeleteDirContents(const std::string& path, bool missing_dir_ok = false) override;
+  Status DeleteRootDirContents() override;
+
+  Status DeleteFile(const std::string& path) override;
+
+  Status Move(const std::string& src, const std::string& dest) override;
+
+  Status CopyFile(const std::string& src, const std::string& dest) override;
+
+  Result<std::shared_ptr<io::InputStream>> OpenInputStream(
+      const std::string& path) override;
+  Result<std::shared_ptr<io::RandomAccessFile>> OpenInputFile(
+      const std::string& path) override;
+  Result<std::shared_ptr<io::OutputStream>> OpenOutputStream(
+      const std::string& path,
+      const std::shared_ptr<const KeyValueMetadata>& metadata = {}) override;
+  Result<std::shared_ptr<io::OutputStream>> OpenAppendStream(
+      const std::string& path,
+      const std::shared_ptr<const KeyValueMetadata>& metadata = {}) override;
+
+  // Contents-dumping helpers to ease testing.
+  // Output is lexicographically-ordered by full path.
+  std::vector<MockDirInfo> AllDirs();
+  std::vector<MockFileInfo> AllFiles();
+
+  // Create a File with a content from a string.
+  Status CreateFile(const std::string& path, std::string_view content,
+                    bool recursive = true);
+
+  // Create a MockFileSystem out of (empty) FileInfo. The content of every
+  // file is empty and of size 0. All directories will be created recursively.
+  static Result<std::shared_ptr<FileSystem>> Make(TimePoint current_time,
+                                                  const std::vector<FileInfo>& infos);
+
+  class Impl;
+
+ protected:
+  std::unique_ptr<Impl> impl_;
+};
+
+class ARROW_EXPORT MockAsyncFileSystem : public MockFileSystem {
+ public:
+  explicit MockAsyncFileSystem(TimePoint current_time,
+                               const io::IOContext& io_context = io::default_io_context())
+      : MockFileSystem(current_time, io_context) {
+    default_async_is_sync_ = false;
+  }
+
+  FileInfoGenerator GetFileInfoGenerator(const FileSelector& select) override;
+};
+
+}  // namespace internal
+}  // namespace fs
+}  // namespace arrow

env-llmeval/lib/python3.10/site-packages/pyarrow/include/arrow/filesystem/path_util.h

@@ -0,0 +1,174 @@
+// 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 <optional>
+#include <string>
+#include <string_view>
+#include <utility>
+#include <vector>
+
+#include "arrow/type_fwd.h"
+
+namespace arrow {
+namespace fs {
+namespace internal {
+
+constexpr char kSep = '/';
+
+// Computations on abstract paths (not local paths with system-dependent behaviour).
+// Abstract paths are typically used in URIs.
+
+// Split an abstract path into its individual components.
+ARROW_EXPORT
+std::vector<std::string> SplitAbstractPath(const std::string& path, char sep = kSep);
+
+// Slice the individual components of an abstract path and combine them
+//
+// If offset or length are negative then an empty string is returned
+// If offset is >= the number of components then an empty string is returned
+// If offset + length is >= the number of components then length is truncated
+ARROW_EXPORT
+std::string SliceAbstractPath(const std::string& path, int offset, int length,
+                              char sep = kSep);
+
+// Return the extension of the file
+ARROW_EXPORT std::string GetAbstractPathExtension(const std::string& s);
+
+// Return the depth (number of components) of an abstract path
+//
+// Trailing slashes do not count towards depth
+// Leading slashes do not count towards depth
+//
+// The root path ("/") has depth 0
+ARROW_EXPORT int GetAbstractPathDepth(std::string_view path);
+
+// Return the parent directory and basename of an abstract path.  Both values may be
+// empty.
+ARROW_EXPORT
+std::pair<std::string, std::string> GetAbstractPathParent(const std::string& s);
+
+// Validate the components of an abstract path.
+ARROW_EXPORT
+Status ValidateAbstractPathParts(const std::vector<std::string>& parts);
+
+// Append a non-empty stem to an abstract path.
+ARROW_EXPORT
+std::string ConcatAbstractPath(std::string_view base, std::string_view stem);
+
+// Make path relative to base, if it starts with base.  Otherwise error out.
+ARROW_EXPORT
+Result<std::string> MakeAbstractPathRelative(const std::string& base,
+                                             const std::string& path);
+
+ARROW_EXPORT
+std::string EnsureLeadingSlash(std::string_view s);
+
+ARROW_EXPORT
+std::string_view RemoveLeadingSlash(std::string_view s);
+
+ARROW_EXPORT
+std::string EnsureTrailingSlash(std::string_view s);
+
+/// \brief remove the forward slash (if any) from the given path
+/// \param s the input path
+/// \param preserve_root if true, allow a path of just "/" to remain unchanged
+ARROW_EXPORT
+std::string_view RemoveTrailingSlash(std::string_view s, bool preserve_root = false);
+
+ARROW_EXPORT
+Status AssertNoTrailingSlash(std::string_view s);
+
+inline bool HasTrailingSlash(std::string_view s) {
+  return !s.empty() && s.back() == kSep;
+}
+
+inline bool HasLeadingSlash(std::string_view s) {
+  return !s.empty() && s.front() == kSep;
+}
+
+ARROW_EXPORT
+bool IsAncestorOf(std::string_view ancestor, std::string_view descendant);
+
+ARROW_EXPORT
+std::optional<std::string_view> RemoveAncestor(std::string_view ancestor,
+                                               std::string_view descendant);
+
+/// Return a vector of ancestors between a base path and a descendant.
+/// For example,
+///
+/// AncestorsFromBasePath("a/b", "a/b/c/d/e") -> ["a/b/c", "a/b/c/d"]
+ARROW_EXPORT
+std::vector<std::string> AncestorsFromBasePath(std::string_view base_path,
+                                               std::string_view descendant);
+
+/// Given a vector of paths of directories which must be created, produce a the minimal
+/// subset for passing to CreateDir(recursive=true) by removing redundant parent
+/// directories
+ARROW_EXPORT
+std::vector<std::string> MinimalCreateDirSet(std::vector<std::string> dirs);
+
+// Join the components of an abstract path.
+template <class StringIt>
+std::string JoinAbstractPath(StringIt it, StringIt end, char sep = kSep) {
+  std::string path;
+  for (; it != end; ++it) {
+    if (it->empty()) continue;
+
+    if (!path.empty()) {
+      path += sep;
+    }
+    path += *it;
+  }
+  return path;
+}
+
+template <class StringRange>
+std::string JoinAbstractPath(const StringRange& range, char sep = kSep) {
+  return JoinAbstractPath(range.begin(), range.end(), sep);
+}
+
+/// Convert slashes to backslashes, on all platforms.  Mostly useful for testing.
+ARROW_EXPORT
+std::string ToBackslashes(std::string_view s);
+
+/// Ensure a local path is abstract, by converting backslashes to regular slashes
+/// on Windows.  Return the path unchanged on other systems.
+ARROW_EXPORT
+std::string ToSlashes(std::string_view s);
+
+ARROW_EXPORT
+bool IsEmptyPath(std::string_view s);
+
+ARROW_EXPORT
+bool IsLikelyUri(std::string_view s);
+
+class ARROW_EXPORT Globber {
+ public:
+  ~Globber();
+  explicit Globber(std::string pattern);
+  bool Matches(const std::string& path);
+
+ protected:
+  struct Impl;
+  std::unique_ptr<Impl> impl_;
+};
+
+}  // namespace internal
+}  // namespace fs
+}  // namespace arrow

env-llmeval/lib/python3.10/site-packages/pyarrow/include/arrow/filesystem/s3_test_util.h

@@ -0,0 +1,101 @@
+// 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 <memory>
+#include <string>
+#include <utility>
+
+#include <gtest/gtest.h>
+
+#include "arrow/filesystem/s3fs.h"
+#include "arrow/status.h"
+#include "arrow/testing/gtest_util.h"
+#include "arrow/testing/util.h"
+#include "arrow/util/checked_cast.h"
+#include "arrow/util/macros.h"
+
+namespace arrow {
+namespace fs {
+
+// A minio test server, managed as a child process
+
+class MinioTestServer {
+ public:
+  MinioTestServer();
+  ~MinioTestServer();
+
+  Status Start();
+
+  Status Stop();
+
+  std::string connect_string() const;
+
+  std::string access_key() const;
+
+  std::string secret_key() const;
+
+ private:
+  struct Impl;
+  std::unique_ptr<Impl> impl_;
+};
+
+// A Minio "environment" that spawns Minio processes in advances, such as
+// to hide process launch latencies during testing.
+
+class MinioTestEnvironment : public ::testing::Environment {
+ public:
+  MinioTestEnvironment();
+  ~MinioTestEnvironment();
+
+  void SetUp() override;
+
+  Result<std::shared_ptr<MinioTestServer>> GetOneServer();
+
+ protected:
+  struct Impl;
+  std::unique_ptr<Impl> impl_;
+};
+
+// A global test "environment", to ensure that the S3 API is initialized before
+// running unit tests.
+
+class S3Environment : public ::testing::Environment {
+ public:
+  // We set this environment variable to speed up tests by ensuring
+  // DefaultAWSCredentialsProviderChain does not query (inaccessible)
+  // EC2 metadata endpoint.
+  // This must be done before spawning any Minio child process to avoid any race
+  // condition accessing environment variables.
+  S3Environment() : ec2_metadata_disabled_guard_("AWS_EC2_METADATA_DISABLED", "true") {}
+
+  void SetUp() override {
+    // Change this to increase logging during tests
+    S3GlobalOptions options;
+    options.log_level = S3LogLevel::Fatal;
+    ASSERT_OK(InitializeS3(options));
+  }
+
+  void TearDown() override { ASSERT_OK(FinalizeS3()); }
+
+ private:
+  EnvVarGuard ec2_metadata_disabled_guard_;
+};
+
+}  // namespace fs
+}  // namespace arrow

env-llmeval/lib/python3.10/site-packages/pyarrow/include/arrow/filesystem/s3fs.h

@@ -0,0 +1,396 @@
+// 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 <memory>
+#include <string>
+#include <vector>
+
+#include "arrow/filesystem/filesystem.h"
+#include "arrow/util/macros.h"
+#include "arrow/util/uri.h"
+
+namespace Aws {
+namespace Auth {
+
+class AWSCredentialsProvider;
+class STSAssumeRoleCredentialsProvider;
+
+}  // namespace Auth
+namespace STS {
+class STSClient;
+}
+}  // namespace Aws
+
+namespace arrow {
+namespace fs {
+
+/// Options for using a proxy for S3
+struct ARROW_EXPORT S3ProxyOptions {
+  std::string scheme;
+  std::string host;
+  int port = -1;
+  std::string username;
+  std::string password;
+
+  /// Initialize from URI such as http://username:password@host:port
+  /// or http://host:port
+  static Result<S3ProxyOptions> FromUri(const std::string& uri);
+  static Result<S3ProxyOptions> FromUri(const ::arrow::internal::Uri& uri);
+
+  bool Equals(const S3ProxyOptions& other) const;
+};
+
+enum class S3CredentialsKind : int8_t {
+  /// Anonymous access (no credentials used)
+  Anonymous,
+  /// Use default AWS credentials, configured through environment variables
+  Default,
+  /// Use explicitly-provided access key pair
+  Explicit,
+  /// Assume role through a role ARN
+  Role,
+  /// Use web identity token to assume role, configured through environment variables
+  WebIdentity
+};
+
+/// Pure virtual class for describing custom S3 retry strategies
+class ARROW_EXPORT S3RetryStrategy {
+ public:
+  virtual ~S3RetryStrategy() = default;
+
+  /// Simple struct where each field corresponds to a field in Aws::Client::AWSError
+  struct AWSErrorDetail {
+    /// Corresponds to AWSError::GetErrorType()
+    int error_type;
+    /// Corresponds to AWSError::GetMessage()
+    std::string message;
+    /// Corresponds to AWSError::GetExceptionName()
+    std::string exception_name;
+    /// Corresponds to AWSError::ShouldRetry()
+    bool should_retry;
+  };
+  /// Returns true if the S3 request resulting in the provided error should be retried.
+  virtual bool ShouldRetry(const AWSErrorDetail& error, int64_t attempted_retries) = 0;
+  /// Returns the time in milliseconds the S3 client should sleep for until retrying.
+  virtual int64_t CalculateDelayBeforeNextRetry(const AWSErrorDetail& error,
+                                                int64_t attempted_retries) = 0;
+  /// Returns a stock AWS Default retry strategy.
+  static std::shared_ptr<S3RetryStrategy> GetAwsDefaultRetryStrategy(
+      int64_t max_attempts);
+  /// Returns a stock AWS Standard retry strategy.
+  static std::shared_ptr<S3RetryStrategy> GetAwsStandardRetryStrategy(
+      int64_t max_attempts);
+};
+
+/// Options for the S3FileSystem implementation.
+struct ARROW_EXPORT S3Options {
+  /// \brief AWS region to connect to.
+  ///
+  /// If unset, the AWS SDK will choose a default value.  The exact algorithm
+  /// depends on the SDK version.  Before 1.8, the default is hardcoded
+  /// to "us-east-1".  Since 1.8, several heuristics are used to determine
+  /// the region (environment variables, configuration profile, EC2 metadata
+  /// server).
+  std::string region;
+
+  /// \brief Socket connection timeout, in seconds
+  ///
+  /// If negative, the AWS SDK default value is used (typically 1 second).
+  double connect_timeout = -1;
+
+  /// \brief Socket read timeout on Windows and macOS, in seconds
+  ///
+  /// If negative, the AWS SDK default value is used (typically 3 seconds).
+  /// This option is ignored on non-Windows, non-macOS systems.
+  double request_timeout = -1;
+
+  /// If non-empty, override region with a connect string such as "localhost:9000"
+  // XXX perhaps instead take a URL like "http://localhost:9000"?
+  std::string endpoint_override;
+  /// S3 connection transport, default "https"
+  std::string scheme = "https";
+
+  /// ARN of role to assume
+  std::string role_arn;
+  /// Optional identifier for an assumed role session.
+  std::string session_name;
+  /// Optional external identifier to pass to STS when assuming a role
+  std::string external_id;
+  /// Frequency (in seconds) to refresh temporary credentials from assumed role
+  int load_frequency = 900;
+
+  /// If connection is through a proxy, set options here
+  S3ProxyOptions proxy_options;
+
+  /// AWS credentials provider
+  std::shared_ptr<Aws::Auth::AWSCredentialsProvider> credentials_provider;
+
+  /// Type of credentials being used. Set along with credentials_provider.
+  S3CredentialsKind credentials_kind = S3CredentialsKind::Default;
+
+  /// Whether to use virtual addressing of buckets
+  ///
+  /// If true, then virtual addressing is always enabled.
+  /// If false, then virtual addressing is only enabled if `endpoint_override` is empty.
+  ///
+  /// This can be used for non-AWS backends that only support virtual hosted-style access.
+  bool force_virtual_addressing = false;
+
+  /// Whether OutputStream writes will be issued in the background, without blocking.
+  bool background_writes = true;
+
+  /// Whether to allow creation of buckets
+  ///
+  /// When S3FileSystem creates new buckets, it does not pass any non-default settings.
+  /// In AWS S3, the bucket and all objects will be not publicly visible, and there
+  /// will be no bucket policies and no resource tags. To have more control over how
+  /// buckets are created, use a different API to create them.
+  bool allow_bucket_creation = false;
+
+  /// Whether to allow deletion of buckets
+  bool allow_bucket_deletion = false;
+
+  /// \brief Default metadata for OpenOutputStream.
+  ///
+  /// This will be ignored if non-empty metadata is passed to OpenOutputStream.
+  std::shared_ptr<const KeyValueMetadata> default_metadata;
+
+  /// Optional retry strategy to determine which error types should be retried, and the
+  /// delay between retries.
+  std::shared_ptr<S3RetryStrategy> retry_strategy;
+
+  S3Options();
+
+  /// Configure with the default AWS credentials provider chain.
+  void ConfigureDefaultCredentials();
+
+  /// Configure with anonymous credentials.  This will only let you access public buckets.
+  void ConfigureAnonymousCredentials();
+
+  /// Configure with explicit access and secret key.
+  void ConfigureAccessKey(const std::string& access_key, const std::string& secret_key,
+                          const std::string& session_token = "");
+
+  /// Configure with credentials from an assumed role.
+  void ConfigureAssumeRoleCredentials(
+      const std::string& role_arn, const std::string& session_name = "",
+      const std::string& external_id = "", int load_frequency = 900,
+      const std::shared_ptr<Aws::STS::STSClient>& stsClient = NULLPTR);
+
+  /// Configure with credentials from role assumed using a web identity token
+  void ConfigureAssumeRoleWithWebIdentityCredentials();
+
+  std::string GetAccessKey() const;
+  std::string GetSecretKey() const;
+  std::string GetSessionToken() const;
+
+  bool Equals(const S3Options& other) const;
+
+  /// \brief Initialize with default credentials provider chain
+  ///
+  /// This is recommended if you use the standard AWS environment variables
+  /// and/or configuration file.
+  static S3Options Defaults();
+
+  /// \brief Initialize with anonymous credentials.
+  ///
+  /// This will only let you access public buckets.
+  static S3Options Anonymous();
+
+  /// \brief Initialize with explicit access and secret key.
+  ///
+  /// Optionally, a session token may also be provided for temporary credentials
+  /// (from STS).
+  static S3Options FromAccessKey(const std::string& access_key,
+                                 const std::string& secret_key,
+                                 const std::string& session_token = "");
+
+  /// \brief Initialize from an assumed role.
+  static S3Options FromAssumeRole(
+      const std::string& role_arn, const std::string& session_name = "",
+      const std::string& external_id = "", int load_frequency = 900,
+      const std::shared_ptr<Aws::STS::STSClient>& stsClient = NULLPTR);
+
+  /// \brief Initialize from an assumed role with web-identity.
+  /// Uses the AWS SDK which uses environment variables to
+  /// generate temporary credentials.
+  static S3Options FromAssumeRoleWithWebIdentity();
+
+  static Result<S3Options> FromUri(const ::arrow::internal::Uri& uri,
+                                   std::string* out_path = NULLPTR);
+  static Result<S3Options> FromUri(const std::string& uri,
+                                   std::string* out_path = NULLPTR);
+};
+
+/// S3-backed FileSystem implementation.
+///
+/// Some implementation notes:
+/// - buckets are special and the operations available on them may be limited
+///   or more expensive than desired.
+class ARROW_EXPORT S3FileSystem : public FileSystem {
+ public:
+  ~S3FileSystem() override;
+
+  std::string type_name() const override { return "s3"; }
+
+  /// Return the original S3 options when constructing the filesystem
+  S3Options options() const;
+  /// Return the actual region this filesystem connects to
+  std::string region() const;
+
+  bool Equals(const FileSystem& other) const override;
+  Result<std::string> PathFromUri(const std::string& uri_string) const override;
+
+  /// \cond FALSE
+  using FileSystem::GetFileInfo;
+  /// \endcond
+  Result<FileInfo> GetFileInfo(const std::string& path) override;
+  Result<std::vector<FileInfo>> GetFileInfo(const FileSelector& select) override;
+
+  FileInfoGenerator GetFileInfoGenerator(const FileSelector& select) override;
+
+  Status CreateDir(const std::string& path, bool recursive = true) override;
+
+  Status DeleteDir(const std::string& path) override;
+  Status DeleteDirContents(const std::string& path, bool missing_dir_ok = false) override;
+  Future<> DeleteDirContentsAsync(const std::string& path,
+                                  bool missing_dir_ok = false) override;
+  Status DeleteRootDirContents() override;
+
+  Status DeleteFile(const std::string& path) override;
+
+  Status Move(const std::string& src, const std::string& dest) override;
+
+  Status CopyFile(const std::string& src, const std::string& dest) override;
+
+  /// Create a sequential input stream for reading from a S3 object.
+  ///
+  /// NOTE: Reads from the stream will be synchronous and unbuffered.
+  /// You way want to wrap the stream in a BufferedInputStream or use
+  /// a custom readahead strategy to avoid idle waits.
+  Result<std::shared_ptr<io::InputStream>> OpenInputStream(
+      const std::string& path) override;
+  /// Create a sequential input stream for reading from a S3 object.
+  ///
+  /// This override avoids a HEAD request by assuming the FileInfo
+  /// contains correct information.
+  Result<std::shared_ptr<io::InputStream>> OpenInputStream(const FileInfo& info) override;
+
+  /// Create a random access file for reading from a S3 object.
+  ///
+  /// See OpenInputStream for performance notes.
+  Result<std::shared_ptr<io::RandomAccessFile>> OpenInputFile(
+      const std::string& path) override;
+  /// Create a random access file for reading from a S3 object.
+  ///
+  /// This override avoids a HEAD request by assuming the FileInfo
+  /// contains correct information.
+  Result<std::shared_ptr<io::RandomAccessFile>> OpenInputFile(
+      const FileInfo& info) override;
+
+  /// Create a sequential output stream for writing to a S3 object.
+  ///
+  /// NOTE: Writes to the stream will be buffered.  Depending on
+  /// S3Options.background_writes, they can be synchronous or not.
+  /// It is recommended to enable background_writes unless you prefer
+  /// implementing your own background execution strategy.
+  Result<std::shared_ptr<io::OutputStream>> OpenOutputStream(
+      const std::string& path,
+      const std::shared_ptr<const KeyValueMetadata>& metadata = {}) override;
+
+  Result<std::shared_ptr<io::OutputStream>> OpenAppendStream(
+      const std::string& path,
+      const std::shared_ptr<const KeyValueMetadata>& metadata = {}) override;
+
+  /// Create a S3FileSystem instance from the given options.
+  static Result<std::shared_ptr<S3FileSystem>> Make(
+      const S3Options& options, const io::IOContext& = io::default_io_context());
+
+ protected:
+  explicit S3FileSystem(const S3Options& options, const io::IOContext&);
+
+  class Impl;
+  std::shared_ptr<Impl> impl_;
+};
+
+enum class S3LogLevel : int8_t { Off, Fatal, Error, Warn, Info, Debug, Trace };
+
+struct ARROW_EXPORT S3GlobalOptions {
+  S3LogLevel log_level;
+  /// The number of threads to configure when creating AWS' I/O event loop
+  ///
+  /// Defaults to 1 as recommended by AWS' doc when the # of connections is
+  /// expected to be, at most, in the hundreds
+  ///
+  /// For more details see Aws::Crt::Io::EventLoopGroup
+  int num_event_loop_threads = 1;
+
+  /// \brief Initialize with default options
+  ///
+  /// For log_level, this method first tries to extract a suitable value from the
+  /// environment variable ARROW_S3_LOG_LEVEL.
+  static S3GlobalOptions Defaults();
+};
+
+/// \brief Initialize the S3 APIs with the specified set of options.
+///
+/// It is required to call this function at least once before using S3FileSystem.
+///
+/// Once this function is called you MUST call FinalizeS3 before the end of the
+/// application in order to avoid a segmentation fault at shutdown.
+ARROW_EXPORT
+Status InitializeS3(const S3GlobalOptions& options);
+
+/// \brief Ensure the S3 APIs are initialized, but only if not already done.
+///
+/// If necessary, this will call InitializeS3() with some default options.
+ARROW_EXPORT
+Status EnsureS3Initialized();
+
+/// Whether S3 was initialized, and not finalized.
+ARROW_EXPORT
+bool IsS3Initialized();
+
+/// Whether S3 was finalized.
+ARROW_EXPORT
+bool IsS3Finalized();
+
+/// \brief Shutdown the S3 APIs.
+///
+/// This can wait for some S3 concurrent calls to finish so as to avoid
+/// race conditions.
+/// After this function has been called, all S3 calls will fail with an error.
+///
+/// Calls to InitializeS3() and FinalizeS3() should be serialized by the
+/// application (this also applies to EnsureS3Initialized() and
+/// EnsureS3Finalized()).
+ARROW_EXPORT
+Status FinalizeS3();
+
+/// \brief Ensure the S3 APIs are shutdown, but only if not already done.
+///
+/// If necessary, this will call FinalizeS3().
+ARROW_EXPORT
+Status EnsureS3Finalized();
+
+ARROW_EXPORT
+Result<std::string> ResolveS3BucketRegion(const std::string& bucket);
+
+}  // namespace fs
+}  // namespace arrow

env-llmeval/lib/python3.10/site-packages/pyarrow/include/arrow/filesystem/test_util.h

@@ -0,0 +1,252 @@
+// 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 <chrono>
+#include <memory>
+#include <string>
+#include <vector>
+
+#include "arrow/filesystem/filesystem.h"
+#include "arrow/filesystem/mockfs.h"
+#include "arrow/testing/visibility.h"
+#include "arrow/util/counting_semaphore.h"
+
+namespace arrow {
+namespace fs {
+
+static constexpr double kTimeSlack = 2.0;  // In seconds
+
+static inline FileInfo File(std::string path) {
+  return FileInfo(std::move(path), FileType::File);
+}
+
+static inline FileInfo Dir(std::string path) {
+  return FileInfo(std::move(path), FileType::Directory);
+}
+
+// A subclass of MockFileSystem that blocks operations until an unlock method is
+// called.
+//
+// This is intended for testing fine-grained ordering of filesystem operations.
+//
+// N.B. Only OpenOutputStream supports gating at the moment but this is simply because
+//      it is all that has been needed so far.  Feel free to add support for more methods
+//      as required.
+class ARROW_TESTING_EXPORT GatedMockFilesystem : public internal::MockFileSystem {
+ public:
+  GatedMockFilesystem(TimePoint current_time,
+                      const io::IOContext& = io::default_io_context());
+  ~GatedMockFilesystem() override;
+
+  Result<std::shared_ptr<io::OutputStream>> OpenOutputStream(
+      const std::string& path,
+      const std::shared_ptr<const KeyValueMetadata>& metadata = {}) override;
+
+  // Wait until at least num_waiters are waiting on OpenOutputStream
+  Status WaitForOpenOutputStream(uint32_t num_waiters);
+  // Unlock `num_waiters` individual calls to OpenOutputStream
+  Status UnlockOpenOutputStream(uint32_t num_waiters);
+
+ private:
+  util::CountingSemaphore open_output_sem_;
+};
+
+ARROW_TESTING_EXPORT
+void CreateFile(FileSystem* fs, const std::string& path, const std::string& data);
+
+// Sort a vector of FileInfo by lexicographic path order
+ARROW_TESTING_EXPORT
+void SortInfos(FileInfoVector* infos);
+
+// Create a copy of a FileInfo vector sorted by lexicographic path order
+ARROW_TESTING_EXPORT
+FileInfoVector SortedInfos(const FileInfoVector& infos);
+
+ARROW_TESTING_EXPORT
+void CollectFileInfoGenerator(FileInfoGenerator gen, FileInfoVector* out_infos);
+
+ARROW_TESTING_EXPORT
+void AssertFileInfo(const FileInfo& info, const std::string& path, FileType type);
+
+ARROW_TESTING_EXPORT
+void AssertFileInfo(const FileInfo& info, const std::string& path, FileType type,
+                    TimePoint mtime);
+
+ARROW_TESTING_EXPORT
+void AssertFileInfo(const FileInfo& info, const std::string& path, FileType type,
+                    TimePoint mtime, int64_t size);
+
+ARROW_TESTING_EXPORT
+void AssertFileInfo(const FileInfo& info, const std::string& path, FileType type,
+                    int64_t size);
+
+ARROW_TESTING_EXPORT
+void AssertFileInfo(FileSystem* fs, const std::string& path, FileType type);
+
+ARROW_TESTING_EXPORT
+void AssertFileInfo(FileSystem* fs, const std::string& path, FileType type,
+                    TimePoint mtime);
+
+ARROW_TESTING_EXPORT
+void AssertFileInfo(FileSystem* fs, const std::string& path, FileType type,
+                    TimePoint mtime, int64_t size);
+
+ARROW_TESTING_EXPORT
+void AssertFileInfo(FileSystem* fs, const std::string& path, FileType type, int64_t size);
+
+ARROW_TESTING_EXPORT
+void AssertFileContents(FileSystem* fs, const std::string& path,
+                        const std::string& expected_data);
+
+template <typename Duration>
+void AssertDurationBetween(Duration d, double min_secs, double max_secs) {
+  auto seconds = std::chrono::duration_cast<std::chrono::duration<double>>(d);
+  ASSERT_GE(seconds.count(), min_secs);
+  ASSERT_LE(seconds.count(), max_secs);
+}
+
+// Generic tests for FileSystem implementations.
+// To use this class, subclass both from it and ::testing::Test,
+// implement GetEmptyFileSystem(), and use GENERIC_FS_TEST_FUNCTIONS()
+// to define the various tests.
+class ARROW_TESTING_EXPORT GenericFileSystemTest {
+ public:
+  virtual ~GenericFileSystemTest();
+
+  void TestEmpty();
+  void TestNormalizePath();
+  void TestCreateDir();
+  void TestDeleteDir();
+  void TestDeleteDirContents();
+  void TestDeleteRootDirContents();
+  void TestDeleteFile();
+  void TestDeleteFiles();
+  void TestMoveFile();
+  void TestMoveDir();
+  void TestCopyFile();
+  void TestGetFileInfo();
+  void TestGetFileInfoVector();
+  void TestGetFileInfoSelector();
+  void TestGetFileInfoSelectorWithRecursion();
+  void TestGetFileInfoAsync();
+  void TestGetFileInfoGenerator();
+  void TestOpenOutputStream();
+  void TestOpenAppendStream();
+  void TestOpenInputStream();
+  void TestOpenInputStreamWithFileInfo();
+  void TestOpenInputStreamAsync();
+  void TestOpenInputFile();
+  void TestOpenInputFileWithFileInfo();
+  void TestOpenInputFileAsync();
+  void TestSpecialChars();
+
+ protected:
+  // This function should return the filesystem under test.
+  virtual std::shared_ptr<FileSystem> GetEmptyFileSystem() = 0;
+
+  // Override the following functions to specify deviations from expected
+  // filesystem semantics.
+  // - Whether the filesystem may "implicitly" create intermediate directories
+  virtual bool have_implicit_directories() const { return false; }
+  // - Whether the filesystem may allow writing a file "over" a directory
+  virtual bool allow_write_file_over_dir() const { return false; }
+  // - Whether the filesystem allows reading a directory
+  virtual bool allow_read_dir_as_file() const { return false; }
+  // - Whether the filesystem allows moving a directory
+  virtual bool allow_move_dir() const { return true; }
+  // - Whether the filesystem allows moving a directory "over" a non-empty destination
+  virtual bool allow_move_dir_over_non_empty_dir() const { return false; }
+  // - Whether the filesystem allows appending to a file
+  virtual bool allow_append_to_file() const { return true; }
+  // - Whether the filesystem allows appending to a nonexistent file
+  virtual bool allow_append_to_new_file() const { return true; }
+  // - Whether the filesystem supports directory modification times
+  virtual bool have_directory_mtimes() const { return true; }
+  // - Whether some directory tree deletion tests may fail randomly
+  virtual bool have_flaky_directory_tree_deletion() const { return false; }
+  // - Whether the filesystem stores some metadata alongside files
+  virtual bool have_file_metadata() const { return false; }
+
+  void TestEmpty(FileSystem* fs);
+  void TestNormalizePath(FileSystem* fs);
+  void TestCreateDir(FileSystem* fs);
+  void TestDeleteDir(FileSystem* fs);
+  void TestDeleteDirContents(FileSystem* fs);
+  void TestDeleteRootDirContents(FileSystem* fs);
+  void TestDeleteFile(FileSystem* fs);
+  void TestDeleteFiles(FileSystem* fs);
+  void TestMoveFile(FileSystem* fs);
+  void TestMoveDir(FileSystem* fs);
+  void TestCopyFile(FileSystem* fs);
+  void TestGetFileInfo(FileSystem* fs);
+  void TestGetFileInfoVector(FileSystem* fs);
+  void TestGetFileInfoSelector(FileSystem* fs);
+  void TestGetFileInfoSelectorWithRecursion(FileSystem* fs);
+  void TestGetFileInfoAsync(FileSystem* fs);
+  void TestGetFileInfoGenerator(FileSystem* fs);
+  void TestOpenOutputStream(FileSystem* fs);
+  void TestOpenAppendStream(FileSystem* fs);
+  void TestOpenInputStream(FileSystem* fs);
+  void TestOpenInputStreamWithFileInfo(FileSystem* fs);
+  void TestOpenInputStreamAsync(FileSystem* fs);
+  void TestOpenInputFile(FileSystem* fs);
+  void TestOpenInputFileWithFileInfo(FileSystem* fs);
+  void TestOpenInputFileAsync(FileSystem* fs);
+  void TestSpecialChars(FileSystem* fs);
+};
+
+#define GENERIC_FS_TEST_FUNCTION(TEST_MACRO, TEST_CLASS, NAME) \
+  TEST_MACRO(TEST_CLASS, NAME) { this->Test##NAME(); }
+
+#define GENERIC_FS_TEST_FUNCTIONS_MACROS(TEST_MACRO, TEST_CLASS)                     \
+  GENERIC_FS_TEST_FUNCTION(TEST_MACRO, TEST_CLASS, Empty)                            \
+  GENERIC_FS_TEST_FUNCTION(TEST_MACRO, TEST_CLASS, NormalizePath)                    \
+  GENERIC_FS_TEST_FUNCTION(TEST_MACRO, TEST_CLASS, CreateDir)                        \
+  GENERIC_FS_TEST_FUNCTION(TEST_MACRO, TEST_CLASS, DeleteDir)                        \
+  GENERIC_FS_TEST_FUNCTION(TEST_MACRO, TEST_CLASS, DeleteDirContents)                \
+  GENERIC_FS_TEST_FUNCTION(TEST_MACRO, TEST_CLASS, DeleteRootDirContents)            \
+  GENERIC_FS_TEST_FUNCTION(TEST_MACRO, TEST_CLASS, DeleteFile)                       \
+  GENERIC_FS_TEST_FUNCTION(TEST_MACRO, TEST_CLASS, DeleteFiles)                      \
+  GENERIC_FS_TEST_FUNCTION(TEST_MACRO, TEST_CLASS, MoveFile)                         \
+  GENERIC_FS_TEST_FUNCTION(TEST_MACRO, TEST_CLASS, MoveDir)                          \
+  GENERIC_FS_TEST_FUNCTION(TEST_MACRO, TEST_CLASS, CopyFile)                         \
+  GENERIC_FS_TEST_FUNCTION(TEST_MACRO, TEST_CLASS, GetFileInfo)                      \
+  GENERIC_FS_TEST_FUNCTION(TEST_MACRO, TEST_CLASS, GetFileInfoVector)                \
+  GENERIC_FS_TEST_FUNCTION(TEST_MACRO, TEST_CLASS, GetFileInfoSelector)              \
+  GENERIC_FS_TEST_FUNCTION(TEST_MACRO, TEST_CLASS, GetFileInfoSelectorWithRecursion) \
+  GENERIC_FS_TEST_FUNCTION(TEST_MACRO, TEST_CLASS, GetFileInfoAsync)                 \
+  GENERIC_FS_TEST_FUNCTION(TEST_MACRO, TEST_CLASS, GetFileInfoGenerator)             \
+  GENERIC_FS_TEST_FUNCTION(TEST_MACRO, TEST_CLASS, OpenOutputStream)                 \
+  GENERIC_FS_TEST_FUNCTION(TEST_MACRO, TEST_CLASS, OpenAppendStream)                 \
+  GENERIC_FS_TEST_FUNCTION(TEST_MACRO, TEST_CLASS, OpenInputStream)                  \
+  GENERIC_FS_TEST_FUNCTION(TEST_MACRO, TEST_CLASS, OpenInputStreamWithFileInfo)      \
+  GENERIC_FS_TEST_FUNCTION(TEST_MACRO, TEST_CLASS, OpenInputStreamAsync)             \
+  GENERIC_FS_TEST_FUNCTION(TEST_MACRO, TEST_CLASS, OpenInputFile)                    \
+  GENERIC_FS_TEST_FUNCTION(TEST_MACRO, TEST_CLASS, OpenInputFileWithFileInfo)        \
+  GENERIC_FS_TEST_FUNCTION(TEST_MACRO, TEST_CLASS, OpenInputFileAsync)               \
+  GENERIC_FS_TEST_FUNCTION(TEST_MACRO, TEST_CLASS, SpecialChars)
+
+#define GENERIC_FS_TEST_FUNCTIONS(TEST_CLASS) \
+  GENERIC_FS_TEST_FUNCTIONS_MACROS(TEST_F, TEST_CLASS)
+
+#define GENERIC_FS_TYPED_TEST_FUNCTIONS(TEST_CLASS) \
+  GENERIC_FS_TEST_FUNCTIONS_MACROS(TYPED_TEST, TEST_CLASS)
+
+}  // namespace fs
+}  // namespace arrow

env-llmeval/lib/python3.10/site-packages/pyarrow/include/arrow/filesystem/type_fwd.h

@@ -0,0 +1,52 @@
+// 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>
+
+namespace arrow {
+namespace fs {
+
+/// \brief FileSystem entry type
+enum class FileType : int8_t {
+  /// Entry is not found
+  NotFound,
+  /// Entry exists but its type is unknown
+  ///
+  /// This can designate a special file such as a Unix socket or character
+  /// device, or Windows NUL / CON / ...
+  Unknown,
+  /// Entry is a regular file
+  File,
+  /// Entry is a directory
+  Directory
+};
+
+struct FileInfo;
+
+struct FileSelector;
+
+class FileSystem;
+class SubTreeFileSystem;
+class SlowFileSystem;
+class LocalFileSystem;
+class S3FileSystem;
+class GcsFileSystem;
+
+}  // namespace fs
+}  // namespace arrow

env-llmeval/lib/python3.10/site-packages/pyarrow/include/arrow/ipc/feather.h

@@ -0,0 +1,150 @@
+// 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.
+
+// Public API for the "Feather" file format, originally created at
+// http://github.com/wesm/feather
+
+#pragma once
+
+#include <cstdint>
+#include <memory>
+#include <string>
+#include <vector>
+
+#include "arrow/ipc/options.h"
+#include "arrow/type_fwd.h"
+#include "arrow/util/compression.h"
+#include "arrow/util/visibility.h"
+
+namespace arrow {
+
+class Schema;
+class Status;
+class Table;
+
+namespace io {
+
+class OutputStream;
+class RandomAccessFile;
+
+}  // namespace io
+
+namespace ipc {
+namespace feather {
+
+static constexpr const int kFeatherV1Version = 2;
+static constexpr const int kFeatherV2Version = 3;
+
+// ----------------------------------------------------------------------
+// Metadata accessor classes
+
+/// \class Reader
+/// \brief An interface for reading columns from Feather files
+class ARROW_EXPORT Reader {
+ public:
+  virtual ~Reader() = default;
+
+  /// \brief Open a Feather file from a RandomAccessFile interface
+  ///
+  /// \param[in] source a RandomAccessFile instance
+  /// \return the table reader
+  static Result<std::shared_ptr<Reader>> Open(
+      const std::shared_ptr<io::RandomAccessFile>& source);
+
+  /// \brief Open a Feather file from a RandomAccessFile interface
+  /// with IPC Read options
+  ///
+  /// \param[in] source a RandomAccessFile instance
+  /// \param[in] options IPC Read options
+  /// \return the table reader
+  static Result<std::shared_ptr<Reader>> Open(
+      const std::shared_ptr<io::RandomAccessFile>& source, const IpcReadOptions& options);
+
+  /// \brief Return the version number of the Feather file
+  virtual int version() const = 0;
+
+  virtual std::shared_ptr<Schema> schema() const = 0;
+
+  /// \brief Read all columns from the file as an arrow::Table.
+  ///
+  /// \param[out] out the returned table
+  /// \return Status
+  ///
+  /// This function is zero-copy if the file source supports zero-copy reads
+  virtual Status Read(std::shared_ptr<Table>* out) = 0;
+
+  /// \brief Read only the specified columns from the file as an arrow::Table.
+  ///
+  /// \param[in] indices the column indices to read
+  /// \param[out] out the returned table
+  /// \return Status
+  ///
+  /// This function is zero-copy if the file source supports zero-copy reads
+  virtual Status Read(const std::vector<int>& indices, std::shared_ptr<Table>* out) = 0;
+
+  /// \brief Read only the specified columns from the file as an arrow::Table.
+  ///
+  /// \param[in] names the column names to read
+  /// \param[out] out the returned table
+  /// \return Status
+  ///
+  /// This function is zero-copy if the file source supports zero-copy reads
+  virtual Status Read(const std::vector<std::string>& names,
+                      std::shared_ptr<Table>* out) = 0;
+};
+
+struct ARROW_EXPORT WriteProperties {
+  static WriteProperties Defaults();
+
+  static WriteProperties DefaultsV1() {
+    WriteProperties props = Defaults();
+    props.version = kFeatherV1Version;
+    return props;
+  }
+
+  /// Feather file version number
+  ///
+  /// version 2: "Feather V1" Apache Arrow <= 0.16.0
+  /// version 3: "Feather V2" Apache Arrow > 0.16.0
+  int version = kFeatherV2Version;
+
+  // Parameters for Feather V2 only
+
+  /// Number of rows per intra-file chunk. Use smaller chunksize when you need
+  /// faster random row access
+  int64_t chunksize = 1LL << 16;
+
+  /// Compression type to use. Only UNCOMPRESSED, LZ4_FRAME, and ZSTD are
+  /// supported. The default compression returned by Defaults() is LZ4 if the
+  /// project is built with support for it, otherwise
+  /// UNCOMPRESSED. UNCOMPRESSED is set as the object default here so that if
+  /// WriteProperties::Defaults() is not used, the default constructor for
+  /// WriteProperties will work regardless of the options used to build the C++
+  /// project.
+  Compression::type compression = Compression::UNCOMPRESSED;
+
+  /// Compressor-specific compression level
+  int compression_level = ::arrow::util::kUseDefaultCompressionLevel;
+};
+
+ARROW_EXPORT
+Status WriteTable(const Table& table, io::OutputStream* dst,
+                  const WriteProperties& properties = WriteProperties::Defaults());
+
+}  // namespace feather
+}  // namespace ipc
+}  // namespace arrow

env-llmeval/lib/python3.10/site-packages/pyarrow/include/arrow/ipc/json_simple.h

@@ -0,0 +1,71 @@
+// 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.
+
+// Implement a simple JSON representation format for arrays
+
+#pragma once
+
+#include <memory>
+#include <string>
+#include <string_view>
+
+#include "arrow/status.h"
+#include "arrow/type_fwd.h"
+#include "arrow/util/visibility.h"
+
+namespace arrow {
+
+class Array;
+class DataType;
+
+namespace ipc {
+namespace internal {
+namespace json {
+
+ARROW_EXPORT
+Result<std::shared_ptr<Array>> ArrayFromJSON(const std::shared_ptr<DataType>&,
+                                             const std::string& json);
+
+ARROW_EXPORT
+Result<std::shared_ptr<Array>> ArrayFromJSON(const std::shared_ptr<DataType>&,
+                                             std::string_view json);
+
+ARROW_EXPORT
+Result<std::shared_ptr<Array>> ArrayFromJSON(const std::shared_ptr<DataType>&,
+                                             const char* json);
+
+ARROW_EXPORT
+Status ChunkedArrayFromJSON(const std::shared_ptr<DataType>& type,
+                            const std::vector<std::string>& json_strings,
+                            std::shared_ptr<ChunkedArray>* out);
+
+ARROW_EXPORT
+Status DictArrayFromJSON(const std::shared_ptr<DataType>&, std::string_view indices_json,
+                         std::string_view dictionary_json, std::shared_ptr<Array>* out);
+
+ARROW_EXPORT
+Status ScalarFromJSON(const std::shared_ptr<DataType>&, std::string_view json,
+                      std::shared_ptr<Scalar>* out);
+
+ARROW_EXPORT
+Status DictScalarFromJSON(const std::shared_ptr<DataType>&, std::string_view index_json,
+                          std::string_view dictionary_json, std::shared_ptr<Scalar>* out);
+
+}  // namespace json
+}  // namespace internal
+}  // namespace ipc
+}  // namespace arrow

env-llmeval/lib/python3.10/site-packages/pyarrow/include/arrow/ipc/message.h

@@ -0,0 +1,565 @@
+// 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.
+
+// C++ object model and user API for interprocess schema messaging
+
+#pragma once
+
+#include <cstdint>
+#include <functional>
+#include <memory>
+#include <string>
+#include <utility>
+
+#include "arrow/io/type_fwd.h"
+#include "arrow/ipc/type_fwd.h"
+#include "arrow/result.h"
+#include "arrow/status.h"
+#include "arrow/type_fwd.h"
+#include "arrow/util/macros.h"
+#include "arrow/util/visibility.h"
+
+namespace arrow {
+namespace ipc {
+
+struct IpcWriteOptions;
+
+// Read interface classes. We do not fully deserialize the flatbuffers so that
+// individual fields metadata can be retrieved from very large schema without
+//
+
+/// \class Message
+/// \brief An IPC message including metadata and body
+class ARROW_EXPORT Message {
+ public:
+  /// \brief Construct message, but do not validate
+  ///
+  /// Use at your own risk; Message::Open has more metadata validation
+  Message(std::shared_ptr<Buffer> metadata, std::shared_ptr<Buffer> body);
+
+  ~Message();
+
+  /// \brief Create and validate a Message instance from two buffers
+  ///
+  /// \param[in] metadata a buffer containing the Flatbuffer metadata
+  /// \param[in] body a buffer containing the message body, which may be null
+  /// \return the created message
+  static Result<std::unique_ptr<Message>> Open(std::shared_ptr<Buffer> metadata,
+                                               std::shared_ptr<Buffer> body);
+
+  /// \brief Read message body and create Message given Flatbuffer metadata
+  /// \param[in] metadata containing a serialized Message flatbuffer
+  /// \param[in] stream an InputStream
+  /// \return the created Message
+  ///
+  /// \note If stream supports zero-copy, this is zero-copy
+  static Result<std::unique_ptr<Message>> ReadFrom(std::shared_ptr<Buffer> metadata,
+                                                   io::InputStream* stream);
+
+  /// \brief Read message body from position in file, and create Message given
+  /// the Flatbuffer metadata
+  /// \param[in] offset the position in the file where the message body starts.
+  /// \param[in] metadata containing a serialized Message flatbuffer
+  /// \param[in] file the seekable file interface to read from
+  /// \return the created Message
+  ///
+  /// \note If file supports zero-copy, this is zero-copy
+  static Result<std::unique_ptr<Message>> ReadFrom(const int64_t offset,
+                                                   std::shared_ptr<Buffer> metadata,
+                                                   io::RandomAccessFile* file);
+
+  /// \brief Return true if message type and contents are equal
+  ///
+  /// \param other another message
+  /// \return true if contents equal
+  bool Equals(const Message& other) const;
+
+  /// \brief the Message metadata
+  ///
+  /// \return buffer
+  std::shared_ptr<Buffer> metadata() const;
+
+  /// \brief Custom metadata serialized in metadata Flatbuffer. Returns nullptr
+  /// when none set
+  const std::shared_ptr<const KeyValueMetadata>& custom_metadata() const;
+
+  /// \brief the Message body, if any
+  ///
+  /// \return buffer is null if no body
+  std::shared_ptr<Buffer> body() const;
+
+  /// \brief The expected body length according to the metadata, for
+  /// verification purposes
+  int64_t body_length() const;
+
+  /// \brief The Message type
+  MessageType type() const;
+
+  /// \brief The Message metadata version
+  MetadataVersion metadata_version() const;
+
+  const void* header() const;
+
+  /// \brief Write length-prefixed metadata and body to output stream
+  ///
+  /// \param[in] file output stream to write to
+  /// \param[in] options IPC writing options including alignment
+  /// \param[out] output_length the number of bytes written
+  /// \return Status
+  Status SerializeTo(io::OutputStream* file, const IpcWriteOptions& options,
+                     int64_t* output_length) const;
+
+  /// \brief Return true if the Message metadata passes Flatbuffer validation
+  bool Verify() const;
+
+  /// \brief Whether a given message type needs a body.
+  static bool HasBody(MessageType type) {
+    return type != MessageType::NONE && type != MessageType::SCHEMA;
+  }
+
+ private:
+  // Hide serialization details from user API
+  class MessageImpl;
+  std::unique_ptr<MessageImpl> impl_;
+
+  ARROW_DISALLOW_COPY_AND_ASSIGN(Message);
+};
+
+ARROW_EXPORT std::string FormatMessageType(MessageType type);
+
+/// \class MessageDecoderListener
+/// \brief An abstract class to listen events from MessageDecoder.
+///
+/// This API is EXPERIMENTAL.
+///
+/// \since 0.17.0
+class ARROW_EXPORT MessageDecoderListener {
+ public:
+  virtual ~MessageDecoderListener() = default;
+
+  /// \brief Called when a message is decoded.
+  ///
+  /// MessageDecoder calls this method when it decodes a message. This
+  /// method is called multiple times when the target stream has
+  /// multiple messages.
+  ///
+  /// \param[in] message a decoded message
+  /// \return Status
+  virtual Status OnMessageDecoded(std::unique_ptr<Message> message) = 0;
+
+  /// \brief Called when the decoder state is changed to
+  /// MessageDecoder::State::INITIAL.
+  ///
+  /// The default implementation just returns arrow::Status::OK().
+  ///
+  /// \return Status
+  virtual Status OnInitial();
+
+  /// \brief Called when the decoder state is changed to
+  /// MessageDecoder::State::METADATA_LENGTH.
+  ///
+  /// The default implementation just returns arrow::Status::OK().
+  ///
+  /// \return Status
+  virtual Status OnMetadataLength();
+
+  /// \brief Called when the decoder state is changed to
+  /// MessageDecoder::State::METADATA.
+  ///
+  /// The default implementation just returns arrow::Status::OK().
+  ///
+  /// \return Status
+  virtual Status OnMetadata();
+
+  /// \brief Called when the decoder state is changed to
+  /// MessageDecoder::State::BODY.
+  ///
+  /// The default implementation just returns arrow::Status::OK().
+  ///
+  /// \return Status
+  virtual Status OnBody();
+
+  /// \brief Called when the decoder state is changed to
+  /// MessageDecoder::State::EOS.
+  ///
+  /// The default implementation just returns arrow::Status::OK().
+  ///
+  /// \return Status
+  virtual Status OnEOS();
+};
+
+/// \class AssignMessageDecoderListener
+/// \brief Assign a message decoded by MessageDecoder.
+///
+/// This API is EXPERIMENTAL.
+///
+/// \since 0.17.0
+class ARROW_EXPORT AssignMessageDecoderListener : public MessageDecoderListener {
+ public:
+  /// \brief Construct a listener that assigns a decoded message to the
+  /// specified location.
+  ///
+  /// \param[in] message a location to store the received message
+  explicit AssignMessageDecoderListener(std::unique_ptr<Message>* message)
+      : message_(message) {}
+
+  virtual ~AssignMessageDecoderListener() = default;
+
+  Status OnMessageDecoded(std::unique_ptr<Message> message) override {
+    *message_ = std::move(message);
+    return Status::OK();
+  }
+
+ private:
+  std::unique_ptr<Message>* message_;
+
+  ARROW_DISALLOW_COPY_AND_ASSIGN(AssignMessageDecoderListener);
+};
+
+/// \class MessageDecoder
+/// \brief Push style message decoder that receives data from user.
+///
+/// This API is EXPERIMENTAL.
+///
+/// \since 0.17.0
+class ARROW_EXPORT MessageDecoder {
+ public:
+  /// \brief State for reading a message
+  enum State {
+    /// The initial state. It requires one of the followings as the next data:
+    ///
+    ///   * int32_t continuation token
+    ///   * int32_t end-of-stream mark (== 0)
+    ///   * int32_t metadata length (backward compatibility for
+    ///     reading old IPC messages produced prior to version 0.15.0
+    INITIAL,
+
+    /// It requires int32_t metadata length.
+    METADATA_LENGTH,
+
+    /// It requires metadata.
+    METADATA,
+
+    /// It requires message body.
+    BODY,
+
+    /// The end-of-stream state. No more data is processed.
+    EOS,
+  };
+
+  /// \brief Construct a message decoder.
+  ///
+  /// \param[in] listener a MessageDecoderListener that responds events from
+  /// the decoder
+  /// \param[in] pool an optional MemoryPool to copy metadata on the
+  /// \param[in] skip_body if true the body will be skipped even if the message has a body
+  /// CPU, if required
+  explicit MessageDecoder(std::shared_ptr<MessageDecoderListener> listener,
+                          MemoryPool* pool = default_memory_pool(),
+                          bool skip_body = false);
+
+  /// \brief Construct a message decoder with the specified state.
+  ///
+  /// This is a construct for advanced users that know how to decode
+  /// Message.
+  ///
+  /// \param[in] listener a MessageDecoderListener that responds events from
+  /// the decoder
+  /// \param[in] initial_state an initial state of the decode
+  /// \param[in] initial_next_required_size the number of bytes needed
+  /// to run the next action
+  /// \param[in] pool an optional MemoryPool to copy metadata on the
+  /// CPU, if required
+  /// \param[in] skip_body if true the body will be skipped even if the message has a body
+  MessageDecoder(std::shared_ptr<MessageDecoderListener> listener, State initial_state,
+                 int64_t initial_next_required_size,
+                 MemoryPool* pool = default_memory_pool(), bool skip_body = false);
+
+  virtual ~MessageDecoder();
+
+  /// \brief Feed data to the decoder as a raw data.
+  ///
+  /// If the decoder can decode one or more messages by the data, the
+  /// decoder calls listener->OnMessageDecoded() with a decoded
+  /// message multiple times.
+  ///
+  /// If the state of the decoder is changed, corresponding callbacks
+  /// on listener is called:
+  ///
+  /// * MessageDecoder::State::INITIAL: listener->OnInitial()
+  /// * MessageDecoder::State::METADATA_LENGTH: listener->OnMetadataLength()
+  /// * MessageDecoder::State::METADATA: listener->OnMetadata()
+  /// * MessageDecoder::State::BODY: listener->OnBody()
+  /// * MessageDecoder::State::EOS: listener->OnEOS()
+  ///
+  /// \param[in] data a raw data to be processed. This data isn't
+  /// copied. The passed memory must be kept alive through message
+  /// processing.
+  /// \param[in] size raw data size.
+  /// \return Status
+  Status Consume(const uint8_t* data, int64_t size);
+
+  /// \brief Feed data to the decoder as a Buffer.
+  ///
+  /// If the decoder can decode one or more messages by the Buffer,
+  /// the decoder calls listener->OnMessageDecoded() with a decoded
+  /// message multiple times.
+  ///
+  /// \param[in] buffer a Buffer to be processed.
+  /// \return Status
+  Status Consume(std::shared_ptr<Buffer> buffer);
+
+  /// \brief Return the number of bytes needed to advance the state of
+  /// the decoder.
+  ///
+  /// This method is provided for users who want to optimize performance.
+  /// Normal users don't need to use this method.
+  ///
+  /// Here is an example usage for normal users:
+  ///
+  /// ~~~{.cpp}
+  /// decoder.Consume(buffer1);
+  /// decoder.Consume(buffer2);
+  /// decoder.Consume(buffer3);
+  /// ~~~
+  ///
+  /// Decoder has internal buffer. If consumed data isn't enough to
+  /// advance the state of the decoder, consumed data is buffered to
+  /// the internal buffer. It causes performance overhead.
+  ///
+  /// If you pass next_required_size() size data to each Consume()
+  /// call, the decoder doesn't use its internal buffer. It improves
+  /// performance.
+  ///
+  /// Here is an example usage to avoid using internal buffer:
+  ///
+  /// ~~~{.cpp}
+  /// buffer1 = get_data(decoder.next_required_size());
+  /// decoder.Consume(buffer1);
+  /// buffer2 = get_data(decoder.next_required_size());
+  /// decoder.Consume(buffer2);
+  /// ~~~
+  ///
+  /// Users can use this method to avoid creating small
+  /// chunks. Message body must be contiguous data. If users pass
+  /// small chunks to the decoder, the decoder needs concatenate small
+  /// chunks internally. It causes performance overhead.
+  ///
+  /// Here is an example usage to reduce small chunks:
+  ///
+  /// ~~~{.cpp}
+  /// buffer = AllocateResizableBuffer();
+  /// while ((small_chunk = get_data(&small_chunk_size))) {
+  ///   auto current_buffer_size = buffer->size();
+  ///   buffer->Resize(current_buffer_size + small_chunk_size);
+  ///   memcpy(buffer->mutable_data() + current_buffer_size,
+  ///          small_chunk,
+  ///          small_chunk_size);
+  ///   if (buffer->size() < decoder.next_required_size()) {
+  ///     continue;
+  ///   }
+  ///   std::shared_ptr<arrow::Buffer> chunk(buffer.release());
+  ///   decoder.Consume(chunk);
+  ///   buffer = AllocateResizableBuffer();
+  /// }
+  /// if (buffer->size() > 0) {
+  ///   std::shared_ptr<arrow::Buffer> chunk(buffer.release());
+  ///   decoder.Consume(chunk);
+  /// }
+  /// ~~~
+  ///
+  /// \return the number of bytes needed to advance the state of the
+  /// decoder
+  int64_t next_required_size() const;
+
+  /// \brief Return the current state of the decoder.
+  ///
+  /// This method is provided for users who want to optimize performance.
+  /// Normal users don't need to use this method.
+  ///
+  /// Decoder doesn't need Buffer to process data on the
+  /// MessageDecoder::State::INITIAL state and the
+  /// MessageDecoder::State::METADATA_LENGTH. Creating Buffer has
+  /// performance overhead. Advanced users can avoid creating Buffer
+  /// by checking the current state of the decoder:
+  ///
+  /// ~~~{.cpp}
+  /// switch (decoder.state()) {
+  ///   MessageDecoder::State::INITIAL:
+  ///   MessageDecoder::State::METADATA_LENGTH:
+  ///     {
+  ///       uint8_t data[sizeof(int32_t)];
+  ///       auto data_size = input->Read(decoder.next_required_size(), data);
+  ///       decoder.Consume(data, data_size);
+  ///     }
+  ///     break;
+  ///   default:
+  ///     {
+  ///       auto buffer = input->Read(decoder.next_required_size());
+  ///       decoder.Consume(buffer);
+  ///     }
+  ///     break;
+  /// }
+  /// ~~~
+  ///
+  /// \return the current state
+  State state() const;
+
+ private:
+  class MessageDecoderImpl;
+  std::unique_ptr<MessageDecoderImpl> impl_;
+
+  ARROW_DISALLOW_COPY_AND_ASSIGN(MessageDecoder);
+};
+
+/// \brief Abstract interface for a sequence of messages
+/// \since 0.5.0
+class ARROW_EXPORT MessageReader {
+ public:
+  virtual ~MessageReader() = default;
+
+  /// \brief Create MessageReader that reads from InputStream
+  static std::unique_ptr<MessageReader> Open(io::InputStream* stream);
+
+  /// \brief Create MessageReader that reads from owned InputStream
+  static std::unique_ptr<MessageReader> Open(
+      const std::shared_ptr<io::InputStream>& owned_stream);
+
+  /// \brief Read next Message from the interface
+  ///
+  /// \return an arrow::ipc::Message instance
+  virtual Result<std::unique_ptr<Message>> ReadNextMessage() = 0;
+};
+
+// the first parameter of the function should be a pointer to metadata (aka.
+// org::apache::arrow::flatbuf::RecordBatch*)
+using FieldsLoaderFunction = std::function<Status(const void*, io::RandomAccessFile*)>;
+
+/// \brief Read encapsulated RPC message from position in file
+///
+/// Read a length-prefixed message flatbuffer starting at the indicated file
+/// offset. If the message has a body with non-zero length, it will also be
+/// read
+///
+/// The metadata_length includes at least the length prefix and the flatbuffer
+///
+/// \param[in] offset the position in the file where the message starts. The
+/// first 4 bytes after the offset are the message length
+/// \param[in] metadata_length the total number of bytes to read from file
+/// \param[in] file the seekable file interface to read from
+/// \param[in] fields_loader the function for loading subset of fields from the given file
+/// \return the message read
+
+ARROW_EXPORT
+Result<std::unique_ptr<Message>> ReadMessage(
+    const int64_t offset, const int32_t metadata_length, io::RandomAccessFile* file,
+    const FieldsLoaderFunction& fields_loader = {});
+
+/// \brief Read encapsulated RPC message from cached buffers
+///
+/// The buffers should contain an entire message.  Partial reads are not handled.
+///
+/// This method can be used to read just the metadata by passing in a nullptr for the
+/// body.  The body will then be skipped and the body size will not be validated.
+///
+/// If the body buffer is provided then it must be the complete body buffer
+///
+/// This is similar to Message::Open but performs slightly more validation (e.g. checks
+/// to see that the metadata length is correct and that the body is the size the metadata
+/// expected)
+///
+/// \param metadata The bytes for the metadata
+/// \param body The bytes for the body
+/// \return The message represented by the buffers
+ARROW_EXPORT Result<std::unique_ptr<Message>> ReadMessage(
+    std::shared_ptr<Buffer> metadata, std::shared_ptr<Buffer> body);
+
+ARROW_EXPORT
+Future<std::shared_ptr<Message>> ReadMessageAsync(
+    const int64_t offset, const int32_t metadata_length, const int64_t body_length,
+    io::RandomAccessFile* file, const io::IOContext& context = io::default_io_context());
+
+/// \brief Advance stream to an 8-byte offset if its position is not a multiple
+/// of 8 already
+/// \param[in] stream an input stream
+/// \param[in] alignment the byte multiple for the metadata prefix, usually 8
+/// or 64, to ensure the body starts on a multiple of that alignment
+/// \return Status
+ARROW_EXPORT
+Status AlignStream(io::InputStream* stream, int32_t alignment = 8);
+
+/// \brief Advance stream to an 8-byte offset if its position is not a multiple
+/// of 8 already
+/// \param[in] stream an output stream
+/// \param[in] alignment the byte multiple for the metadata prefix, usually 8
+/// or 64, to ensure the body starts on a multiple of that alignment
+/// \return Status
+ARROW_EXPORT
+Status AlignStream(io::OutputStream* stream, int32_t alignment = 8);
+
+/// \brief Return error Status if file position is not a multiple of the
+/// indicated alignment
+ARROW_EXPORT
+Status CheckAligned(io::FileInterface* stream, int32_t alignment = 8);
+
+/// \brief Read encapsulated IPC message (metadata and body) from InputStream
+///
+/// Returns null if there are not enough bytes available or the
+/// message length is 0 (e.g. EOS in a stream)
+///
+/// \param[in] stream an input stream
+/// \param[in] pool an optional MemoryPool to copy metadata on the CPU, if required
+/// \return Message
+ARROW_EXPORT
+Result<std::unique_ptr<Message>> ReadMessage(io::InputStream* stream,
+                                             MemoryPool* pool = default_memory_pool());
+
+/// \brief Feed data from InputStream to MessageDecoder to decode an
+/// encapsulated IPC message (metadata and body)
+///
+/// This API is EXPERIMENTAL.
+///
+/// \param[in] decoder a decoder
+/// \param[in] stream an input stream
+/// \return Status
+///
+/// \since 0.17.0
+ARROW_EXPORT
+Status DecodeMessage(MessageDecoder* decoder, io::InputStream* stream);
+
+/// Write encapsulated IPC message Does not make assumptions about
+/// whether the stream is aligned already. Can write legacy (pre
+/// version 0.15.0) IPC message if option set
+///
+/// continuation: 0xFFFFFFFF
+/// message_size: int32
+/// message: const void*
+/// padding
+///
+///
+/// \param[in] message a buffer containing the metadata to write
+/// \param[in] options IPC writing options, including alignment and
+/// legacy message support
+/// \param[in,out] file the OutputStream to write to
+/// \param[out] message_length the total size of the payload written including
+/// padding
+/// \return Status
+Status WriteMessage(const Buffer& message, const IpcWriteOptions& options,
+                    io::OutputStream* file, int32_t* message_length);
+
+}  // namespace ipc
+}  // namespace arrow

env-llmeval/lib/python3.10/site-packages/pyarrow/include/arrow/ipc/options.h

@@ -0,0 +1,178 @@
+// 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 <optional>
+#include <vector>
+
+#include "arrow/io/caching.h"
+#include "arrow/ipc/type_fwd.h"
+#include "arrow/status.h"
+#include "arrow/type_fwd.h"
+#include "arrow/util/compression.h"
+#include "arrow/util/visibility.h"
+
+namespace arrow {
+
+class MemoryPool;
+
+namespace ipc {
+
+// ARROW-109: We set this number arbitrarily to help catch user mistakes. For
+// deeply nested schemas, it is expected the user will indicate explicitly the
+// maximum allowed recursion depth
+constexpr int kMaxNestingDepth = 64;
+
+/// \brief Options for writing Arrow IPC messages
+struct ARROW_EXPORT IpcWriteOptions {
+  /// \brief If true, allow field lengths that don't fit in a signed 32-bit int.
+  ///
+  /// Some implementations may not be able to parse streams created with this option.
+  bool allow_64bit = false;
+
+  /// \brief The maximum permitted schema nesting depth.
+  int max_recursion_depth = kMaxNestingDepth;
+
+  /// \brief Write padding after memory buffers up to this multiple of bytes.
+  int32_t alignment = 8;
+
+  /// \brief Write the pre-0.15.0 IPC message format
+  ///
+  /// This legacy format consists of a 4-byte prefix instead of 8-byte.
+  bool write_legacy_ipc_format = false;
+
+  /// \brief The memory pool to use for allocations made during IPC writing
+  ///
+  /// While Arrow IPC is predominantly zero-copy, it may have to allocate
+  /// memory in some cases (for example if compression is enabled).
+  MemoryPool* memory_pool = default_memory_pool();
+
+  /// \brief Compression codec to use for record batch body buffers
+  ///
+  /// May only be UNCOMPRESSED, LZ4_FRAME and ZSTD.
+  std::shared_ptr<util::Codec> codec;
+
+  /// \brief Minimum space savings percentage required for compression to be applied
+  ///
+  /// Space savings is calculated as (1.0 - compressed_size / uncompressed_size).
+  ///
+  /// For example, if min_space_savings = 0.1, a 100-byte body buffer won't undergo
+  /// compression if its expected compressed size exceeds 90 bytes. If this option is
+  /// unset, compression will be used indiscriminately. If no codec was supplied, this
+  /// option is ignored.
+  ///
+  /// Values outside of the range [0,1] are handled as errors.
+  ///
+  /// Note that enabling this option may result in unreadable data for Arrow C++ versions
+  /// prior to 12.0.0.
+  std::optional<double> min_space_savings;
+
+  /// \brief Use global CPU thread pool to parallelize any computational tasks
+  /// like compression
+  bool use_threads = true;
+
+  /// \brief Whether to emit dictionary deltas
+  ///
+  /// If false, a changed dictionary for a given field will emit a full
+  /// dictionary replacement.
+  /// If true, a changed dictionary will be compared against the previous
+  /// version. If possible, a dictionary delta will be emitted, otherwise
+  /// a full dictionary replacement.
+  ///
+  /// Default is false to maximize stream compatibility.
+  ///
+  /// Also, note that if a changed dictionary is a nested dictionary,
+  /// then a delta is never emitted, for compatibility with the read path.
+  bool emit_dictionary_deltas = false;
+
+  /// \brief Whether to unify dictionaries for the IPC file format
+  ///
+  /// The IPC file format doesn't support dictionary replacements.
+  /// Therefore, chunks of a column with a dictionary type must have the same
+  /// dictionary in each record batch (or an extended dictionary + delta).
+  ///
+  /// If this option is true, RecordBatchWriter::WriteTable will attempt
+  /// to unify dictionaries across each table column.  If this option is
+  /// false, incompatible dictionaries across a table column will simply
+  /// raise an error.
+  ///
+  /// Note that enabling this option has a runtime cost. Also, not all types
+  /// currently support dictionary unification.
+  ///
+  /// This option is ignored for IPC streams, which support dictionary replacement
+  /// and deltas.
+  bool unify_dictionaries = false;
+
+  /// \brief Format version to use for IPC messages and their metadata.
+  ///
+  /// Presently using V5 version (readable by 1.0.0 and later).
+  /// V4 is also available (readable by 0.8.0 and later).
+  MetadataVersion metadata_version = MetadataVersion::V5;
+
+  static IpcWriteOptions Defaults();
+};
+
+/// \brief Options for reading Arrow IPC messages
+struct ARROW_EXPORT IpcReadOptions {
+  /// \brief The maximum permitted schema nesting depth.
+  int max_recursion_depth = kMaxNestingDepth;
+
+  /// \brief The memory pool to use for allocations made during IPC reading
+  ///
+  /// While Arrow IPC is predominantly zero-copy, it may have to allocate
+  /// memory in some cases (for example if compression is enabled).
+  MemoryPool* memory_pool = default_memory_pool();
+
+  /// \brief Top-level schema fields to include when deserializing RecordBatch.
+  ///
+  /// If empty (the default), return all deserialized fields.
+  /// If non-empty, the values are the indices of fields in the top-level schema.
+  std::vector<int> included_fields;
+
+  /// \brief Use global CPU thread pool to parallelize any computational tasks
+  /// like decompression
+  bool use_threads = true;
+
+  /// \brief Whether to convert incoming data to platform-native endianness
+  ///
+  /// If the endianness of the received schema is not equal to platform-native
+  /// endianness, then all buffers with endian-sensitive data will be byte-swapped.
+  /// This includes the value buffers of numeric types, temporal types, decimal
+  /// types, as well as the offset buffers of variable-sized binary and list-like
+  /// types.
+  ///
+  /// Endianness conversion is achieved by the RecordBatchFileReader,
+  /// RecordBatchStreamReader and StreamDecoder classes.
+  bool ensure_native_endian = true;
+
+  /// \brief Options to control caching behavior when pre-buffering is requested
+  ///
+  /// The lazy property will always be reset to true to deliver the expected behavior
+  io::CacheOptions pre_buffer_cache_options = io::CacheOptions::LazyDefaults();
+
+  static IpcReadOptions Defaults();
+};
+
+namespace internal {
+
+Status CheckCompressionSupported(Compression::type codec);
+
+}  // namespace internal
+}  // namespace ipc
+}  // namespace arrow

env-llmeval/lib/python3.10/site-packages/pyarrow/include/arrow/ipc/writer.h

@@ -0,0 +1,475 @@
+// 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.
+
+// Implement Arrow streaming binary format
+
+#pragma once
+
+#include <cstdint>
+#include <memory>
+#include <vector>
+
+#include "arrow/ipc/dictionary.h"  // IWYU pragma: export
+#include "arrow/ipc/message.h"
+#include "arrow/ipc/options.h"
+#include "arrow/result.h"
+#include "arrow/util/macros.h"
+#include "arrow/util/visibility.h"
+
+namespace arrow {
+
+class Array;
+class Buffer;
+class MemoryManager;
+class MemoryPool;
+class RecordBatch;
+class Schema;
+class Status;
+class Table;
+class Tensor;
+class SparseTensor;
+
+namespace io {
+
+class OutputStream;
+
+}  // namespace io
+
+namespace ipc {
+
+/// \brief Intermediate data structure with metadata header, and zero
+/// or more buffers for the message body.
+struct IpcPayload {
+  MessageType type = MessageType::NONE;
+  std::shared_ptr<Buffer> metadata;
+  std::vector<std::shared_ptr<Buffer>> body_buffers;
+  std::vector<int64_t> variadic_buffer_counts;
+  int64_t body_length = 0;      // serialized body length (padded, maybe compressed)
+  int64_t raw_body_length = 0;  // initial uncompressed body length
+};
+
+struct WriteStats {
+  /// Number of IPC messages written.
+  int64_t num_messages = 0;
+  /// Number of record batches written.
+  int64_t num_record_batches = 0;
+  /// Number of dictionary batches written.
+  ///
+  /// Note: num_dictionary_batches >= num_dictionary_deltas + num_replaced_dictionaries
+  int64_t num_dictionary_batches = 0;
+
+  /// Number of dictionary deltas written.
+  int64_t num_dictionary_deltas = 0;
+  /// Number of replaced dictionaries (i.e. where a dictionary batch replaces
+  /// an existing dictionary with an unrelated new dictionary).
+  int64_t num_replaced_dictionaries = 0;
+
+  /// Total size in bytes of record batches emitted.
+  /// The "raw" size counts the original buffer sizes, while the "serialized" size
+  /// includes padding and (optionally) compression.
+  int64_t total_raw_body_size = 0;
+  int64_t total_serialized_body_size = 0;
+};
+
+/// \class RecordBatchWriter
+/// \brief Abstract interface for writing a stream of record batches
+class ARROW_EXPORT RecordBatchWriter {
+ public:
+  virtual ~RecordBatchWriter();
+
+  /// \brief Write a record batch to the stream
+  ///
+  /// \param[in] batch the record batch to write to the stream
+  /// \return Status
+  virtual Status WriteRecordBatch(const RecordBatch& batch) = 0;
+
+  /// \brief Write a record batch with custom metadata to the stream
+  ///
+  /// \param[in] batch the record batch to write to the stream
+  /// \param[in] custom_metadata the record batch's custom metadata to write to the stream
+  /// \return Status
+  virtual Status WriteRecordBatch(
+      const RecordBatch& batch,
+      const std::shared_ptr<const KeyValueMetadata>& custom_metadata);
+
+  /// \brief Write possibly-chunked table by creating sequence of record batches
+  /// \param[in] table table to write
+  /// \return Status
+  Status WriteTable(const Table& table);
+
+  /// \brief Write Table with a particular chunksize
+  /// \param[in] table table to write
+  /// \param[in] max_chunksize maximum length of table chunks. To indicate
+  /// that no maximum should be enforced, pass -1.
+  /// \return Status
+  virtual Status WriteTable(const Table& table, int64_t max_chunksize);
+
+  /// \brief Perform any logic necessary to finish the stream
+  ///
+  /// \return Status
+  virtual Status Close() = 0;
+
+  /// \brief Return current write statistics
+  virtual WriteStats stats() const = 0;
+};
+
+/// \defgroup record-batch-writer-factories Functions for creating RecordBatchWriter
+/// instances
+///
+/// @{
+
+/// Create a new IPC stream writer from stream sink and schema. User is
+/// responsible for closing the actual OutputStream.
+///
+/// \param[in] sink output stream to write to
+/// \param[in] schema the schema of the record batches to be written
+/// \param[in] options options for serialization
+/// \return Result<std::shared_ptr<RecordBatchWriter>>
+ARROW_EXPORT
+Result<std::shared_ptr<RecordBatchWriter>> MakeStreamWriter(
+    io::OutputStream* sink, const std::shared_ptr<Schema>& schema,
+    const IpcWriteOptions& options = IpcWriteOptions::Defaults());
+
+/// Create a new IPC stream writer from stream sink and schema. User is
+/// responsible for closing the actual OutputStream.
+///
+/// \param[in] sink output stream to write to
+/// \param[in] schema the schema of the record batches to be written
+/// \param[in] options options for serialization
+/// \return Result<std::shared_ptr<RecordBatchWriter>>
+ARROW_EXPORT
+Result<std::shared_ptr<RecordBatchWriter>> MakeStreamWriter(
+    std::shared_ptr<io::OutputStream> sink, const std::shared_ptr<Schema>& schema,
+    const IpcWriteOptions& options = IpcWriteOptions::Defaults());
+
+/// Create a new IPC file writer from stream sink and schema
+///
+/// \param[in] sink output stream to write to
+/// \param[in] schema the schema of the record batches to be written
+/// \param[in] options options for serialization, optional
+/// \param[in] metadata custom metadata for File Footer, optional
+/// \return Result<std::shared_ptr<RecordBatchWriter>>
+ARROW_EXPORT
+Result<std::shared_ptr<RecordBatchWriter>> MakeFileWriter(
+    io::OutputStream* sink, const std::shared_ptr<Schema>& schema,
+    const IpcWriteOptions& options = IpcWriteOptions::Defaults(),
+    const std::shared_ptr<const KeyValueMetadata>& metadata = NULLPTR);
+
+/// Create a new IPC file writer from stream sink and schema
+///
+/// \param[in] sink output stream to write to
+/// \param[in] schema the schema of the record batches to be written
+/// \param[in] options options for serialization, optional
+/// \param[in] metadata custom metadata for File Footer, optional
+/// \return Result<std::shared_ptr<RecordBatchWriter>>
+ARROW_EXPORT
+Result<std::shared_ptr<RecordBatchWriter>> MakeFileWriter(
+    std::shared_ptr<io::OutputStream> sink, const std::shared_ptr<Schema>& schema,
+    const IpcWriteOptions& options = IpcWriteOptions::Defaults(),
+    const std::shared_ptr<const KeyValueMetadata>& metadata = NULLPTR);
+
+/// @}
+
+/// \brief Low-level API for writing a record batch (without schema)
+/// to an OutputStream as encapsulated IPC message. See Arrow format
+/// documentation for more detail.
+///
+/// \param[in] batch the record batch to write
+/// \param[in] buffer_start_offset the start offset to use in the buffer metadata,
+/// generally should be 0
+/// \param[in] dst an OutputStream
+/// \param[out] metadata_length the size of the length-prefixed flatbuffer
+/// including padding to a 64-byte boundary
+/// \param[out] body_length the size of the contiguous buffer block plus
+/// \param[in] options options for serialization
+/// \return Status
+ARROW_EXPORT
+Status WriteRecordBatch(const RecordBatch& batch, int64_t buffer_start_offset,
+                        io::OutputStream* dst, int32_t* metadata_length,
+                        int64_t* body_length, const IpcWriteOptions& options);
+
+/// \brief Serialize record batch as encapsulated IPC message in a new buffer
+///
+/// \param[in] batch the record batch
+/// \param[in] options the IpcWriteOptions to use for serialization
+/// \return the serialized message
+ARROW_EXPORT
+Result<std::shared_ptr<Buffer>> SerializeRecordBatch(const RecordBatch& batch,
+                                                     const IpcWriteOptions& options);
+
+/// \brief Serialize record batch as encapsulated IPC message in a new buffer
+///
+/// \param[in] batch the record batch
+/// \param[in] mm a MemoryManager to allocate memory from
+/// \return the serialized message
+ARROW_EXPORT
+Result<std::shared_ptr<Buffer>> SerializeRecordBatch(const RecordBatch& batch,
+                                                     std::shared_ptr<MemoryManager> mm);
+
+/// \brief Write record batch to OutputStream
+///
+/// \param[in] batch the record batch to write
+/// \param[in] options the IpcWriteOptions to use for serialization
+/// \param[in] out the OutputStream to write the output to
+/// \return Status
+///
+/// If writing to pre-allocated memory, you can use
+/// arrow::ipc::GetRecordBatchSize to compute how much space is required
+ARROW_EXPORT
+Status SerializeRecordBatch(const RecordBatch& batch, const IpcWriteOptions& options,
+                            io::OutputStream* out);
+
+/// \brief Serialize schema as encapsulated IPC message
+///
+/// \param[in] schema the schema to write
+/// \param[in] pool a MemoryPool to allocate memory from
+/// \return the serialized schema
+ARROW_EXPORT
+Result<std::shared_ptr<Buffer>> SerializeSchema(const Schema& schema,
+                                                MemoryPool* pool = default_memory_pool());
+
+/// \brief Write multiple record batches to OutputStream, including schema
+/// \param[in] batches a vector of batches. Must all have same schema
+/// \param[in] options options for serialization
+/// \param[out] dst an OutputStream
+/// \return Status
+ARROW_EXPORT
+Status WriteRecordBatchStream(const std::vector<std::shared_ptr<RecordBatch>>& batches,
+                              const IpcWriteOptions& options, io::OutputStream* dst);
+
+/// \brief Compute the number of bytes needed to write an IPC payload
+///     including metadata
+///
+/// \param[in] payload the IPC payload to write
+/// \param[in] options write options
+/// \return the size of the complete encapsulated message
+ARROW_EXPORT
+int64_t GetPayloadSize(const IpcPayload& payload,
+                       const IpcWriteOptions& options = IpcWriteOptions::Defaults());
+
+/// \brief Compute the number of bytes needed to write a record batch including metadata
+///
+/// \param[in] batch the record batch to write
+/// \param[out] size the size of the complete encapsulated message
+/// \return Status
+ARROW_EXPORT
+Status GetRecordBatchSize(const RecordBatch& batch, int64_t* size);
+
+/// \brief Compute the number of bytes needed to write a record batch including metadata
+///
+/// \param[in] batch the record batch to write
+/// \param[in] options options for serialization
+/// \param[out] size the size of the complete encapsulated message
+/// \return Status
+ARROW_EXPORT
+Status GetRecordBatchSize(const RecordBatch& batch, const IpcWriteOptions& options,
+                          int64_t* size);
+
+/// \brief Compute the number of bytes needed to write a tensor including metadata
+///
+/// \param[in] tensor the tensor to write
+/// \param[out] size the size of the complete encapsulated message
+/// \return Status
+ARROW_EXPORT
+Status GetTensorSize(const Tensor& tensor, int64_t* size);
+
+/// \brief EXPERIMENTAL: Convert arrow::Tensor to a Message with minimal memory
+/// allocation
+///
+/// \param[in] tensor the Tensor to write
+/// \param[in] pool MemoryPool to allocate space for metadata
+/// \return the resulting Message
+ARROW_EXPORT
+Result<std::unique_ptr<Message>> GetTensorMessage(const Tensor& tensor, MemoryPool* pool);
+
+/// \brief Write arrow::Tensor as a contiguous message.
+///
+/// The metadata and body are written assuming 64-byte alignment. It is the
+/// user's responsibility to ensure that the OutputStream has been aligned
+/// to a 64-byte multiple before writing the message.
+///
+/// The message is written out as followed:
+/// \code
+/// <metadata size> <metadata> <tensor data>
+/// \endcode
+///
+/// \param[in] tensor the Tensor to write
+/// \param[in] dst the OutputStream to write to
+/// \param[out] metadata_length the actual metadata length, including padding
+/// \param[out] body_length the actual message body length
+/// \return Status
+ARROW_EXPORT
+Status WriteTensor(const Tensor& tensor, io::OutputStream* dst, int32_t* metadata_length,
+                   int64_t* body_length);
+
+/// \brief EXPERIMENTAL: Convert arrow::SparseTensor to a Message with minimal memory
+/// allocation
+///
+/// The message is written out as followed:
+/// \code
+/// <metadata size> <metadata> <sparse index> <sparse tensor body>
+/// \endcode
+///
+/// \param[in] sparse_tensor the SparseTensor to write
+/// \param[in] pool MemoryPool to allocate space for metadata
+/// \return the resulting Message
+ARROW_EXPORT
+Result<std::unique_ptr<Message>> GetSparseTensorMessage(const SparseTensor& sparse_tensor,
+                                                        MemoryPool* pool);
+
+/// \brief EXPERIMENTAL: Write arrow::SparseTensor as a contiguous message. The metadata,
+/// sparse index, and body are written assuming 64-byte alignment. It is the
+/// user's responsibility to ensure that the OutputStream has been aligned
+/// to a 64-byte multiple before writing the message.
+///
+/// \param[in] sparse_tensor the SparseTensor to write
+/// \param[in] dst the OutputStream to write to
+/// \param[out] metadata_length the actual metadata length, including padding
+/// \param[out] body_length the actual message body length
+/// \return Status
+ARROW_EXPORT
+Status WriteSparseTensor(const SparseTensor& sparse_tensor, io::OutputStream* dst,
+                         int32_t* metadata_length, int64_t* body_length);
+
+/// \brief Compute IpcPayload for the given schema
+/// \param[in] schema the Schema that is being serialized
+/// \param[in] options options for serialization
+/// \param[in] mapper object mapping dictionary fields to dictionary ids
+/// \param[out] out the returned vector of IpcPayloads
+/// \return Status
+ARROW_EXPORT
+Status GetSchemaPayload(const Schema& schema, const IpcWriteOptions& options,
+                        const DictionaryFieldMapper& mapper, IpcPayload* out);
+
+/// \brief Compute IpcPayload for a dictionary
+/// \param[in] id the dictionary id
+/// \param[in] dictionary the dictionary values
+/// \param[in] options options for serialization
+/// \param[out] payload the output IpcPayload
+/// \return Status
+ARROW_EXPORT
+Status GetDictionaryPayload(int64_t id, const std::shared_ptr<Array>& dictionary,
+                            const IpcWriteOptions& options, IpcPayload* payload);
+
+/// \brief Compute IpcPayload for a dictionary
+/// \param[in] id the dictionary id
+/// \param[in] is_delta whether the dictionary is a delta dictionary
+/// \param[in] dictionary the dictionary values
+/// \param[in] options options for serialization
+/// \param[out] payload the output IpcPayload
+/// \return Status
+ARROW_EXPORT
+Status GetDictionaryPayload(int64_t id, bool is_delta,
+                            const std::shared_ptr<Array>& dictionary,
+                            const IpcWriteOptions& options, IpcPayload* payload);
+
+/// \brief Compute IpcPayload for the given record batch
+/// \param[in] batch the RecordBatch that is being serialized
+/// \param[in] options options for serialization
+/// \param[out] out the returned IpcPayload
+/// \return Status
+ARROW_EXPORT
+Status GetRecordBatchPayload(const RecordBatch& batch, const IpcWriteOptions& options,
+                             IpcPayload* out);
+
+/// \brief Compute IpcPayload for the given record batch and custom metadata
+/// \param[in] batch the RecordBatch that is being serialized
+/// \param[in] custom_metadata the custom metadata to be serialized with the record batch
+/// \param[in] options options for serialization
+/// \param[out] out the returned IpcPayload
+/// \return Status
+ARROW_EXPORT
+Status GetRecordBatchPayload(
+    const RecordBatch& batch,
+    const std::shared_ptr<const KeyValueMetadata>& custom_metadata,
+    const IpcWriteOptions& options, IpcPayload* out);
+
+/// \brief Write an IPC payload to the given stream.
+/// \param[in] payload the payload to write
+/// \param[in] options options for serialization
+/// \param[in] dst The stream to write the payload to.
+/// \param[out] metadata_length the length of the serialized metadata
+/// \return Status
+ARROW_EXPORT
+Status WriteIpcPayload(const IpcPayload& payload, const IpcWriteOptions& options,
+                       io::OutputStream* dst, int32_t* metadata_length);
+
+/// \brief Compute IpcPayload for the given sparse tensor
+/// \param[in] sparse_tensor the SparseTensor that is being serialized
+/// \param[in,out] pool for any required temporary memory allocations
+/// \param[out] out the returned IpcPayload
+/// \return Status
+ARROW_EXPORT
+Status GetSparseTensorPayload(const SparseTensor& sparse_tensor, MemoryPool* pool,
+                              IpcPayload* out);
+
+namespace internal {
+
+// These internal APIs may change without warning or deprecation
+
+class ARROW_EXPORT IpcPayloadWriter {
+ public:
+  virtual ~IpcPayloadWriter();
+
+  // Default implementation is a no-op
+  virtual Status Start();
+
+  virtual Status WritePayload(const IpcPayload& payload) = 0;
+
+  virtual Status Close() = 0;
+};
+
+/// Create a new IPC payload stream writer from stream sink. User is
+/// responsible for closing the actual OutputStream.
+///
+/// \param[in] sink output stream to write to
+/// \param[in] options options for serialization
+/// \return Result<std::shared_ptr<IpcPayloadWriter>>
+ARROW_EXPORT
+Result<std::unique_ptr<IpcPayloadWriter>> MakePayloadStreamWriter(
+    io::OutputStream* sink, const IpcWriteOptions& options = IpcWriteOptions::Defaults());
+
+/// Create a new IPC payload file writer from stream sink.
+///
+/// \param[in] sink output stream to write to
+/// \param[in] schema the schema of the record batches to be written
+/// \param[in] options options for serialization, optional
+/// \param[in] metadata custom metadata for File Footer, optional
+/// \return Status
+ARROW_EXPORT
+Result<std::unique_ptr<IpcPayloadWriter>> MakePayloadFileWriter(
+    io::OutputStream* sink, const std::shared_ptr<Schema>& schema,
+    const IpcWriteOptions& options = IpcWriteOptions::Defaults(),
+    const std::shared_ptr<const KeyValueMetadata>& metadata = NULLPTR);
+
+/// Create a new RecordBatchWriter from IpcPayloadWriter and schema.
+///
+/// The format is implicitly the IPC stream format (allowing dictionary
+/// replacement and deltas).
+///
+/// \param[in] sink the IpcPayloadWriter to write to
+/// \param[in] schema the schema of the record batches to be written
+/// \param[in] options options for serialization
+/// \return Result<std::unique_ptr<RecordBatchWriter>>
+ARROW_EXPORT
+Result<std::unique_ptr<RecordBatchWriter>> OpenRecordBatchWriter(
+    std::unique_ptr<IpcPayloadWriter> sink, const std::shared_ptr<Schema>& schema,
+    const IpcWriteOptions& options = IpcWriteOptions::Defaults());
+
+}  // namespace internal
+}  // namespace ipc
+}  // namespace arrow

env-llmeval/lib/python3.10/site-packages/pyarrow/include/arrow/json/api.h

@@ -0,0 +1,21 @@
+// 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 "arrow/json/options.h"
+#include "arrow/json/reader.h"

env-llmeval/lib/python3.10/site-packages/pyarrow/include/arrow/json/chunked_builder.h

@@ -0,0 +1,68 @@
+// 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 <memory>
+#include <vector>
+
+#include "arrow/status.h"
+#include "arrow/type_fwd.h"
+#include "arrow/util/type_fwd.h"
+#include "arrow/util/visibility.h"
+
+namespace arrow {
+namespace json {
+
+class PromotionGraph;
+
+class ARROW_EXPORT ChunkedArrayBuilder {
+ public:
+  virtual ~ChunkedArrayBuilder() = default;
+
+  /// Spawn a task that will try to convert and insert the given JSON block
+  virtual void Insert(int64_t block_index,
+                      const std::shared_ptr<Field>& unconverted_field,
+                      const std::shared_ptr<Array>& unconverted) = 0;
+
+  /// Return the final chunked array.
+  /// Every chunk must be inserted before this is called!
+  virtual Status Finish(std::shared_ptr<ChunkedArray>* out) = 0;
+
+  /// Finish current task group and substitute a new one
+  virtual Status ReplaceTaskGroup(
+      const std::shared_ptr<arrow::internal::TaskGroup>& task_group) = 0;
+
+ protected:
+  explicit ChunkedArrayBuilder(
+      const std::shared_ptr<arrow::internal::TaskGroup>& task_group)
+      : task_group_(task_group) {}
+
+  std::shared_ptr<arrow::internal::TaskGroup> task_group_;
+};
+
+/// create a chunked builder
+///
+/// if unexpected fields and promotion need to be handled, promotion_graph must be
+/// non-null
+ARROW_EXPORT Status MakeChunkedArrayBuilder(
+    const std::shared_ptr<arrow::internal::TaskGroup>& task_group, MemoryPool* pool,
+    const PromotionGraph* promotion_graph, const std::shared_ptr<DataType>& type,
+    std::shared_ptr<ChunkedArrayBuilder>* out);
+
+}  // namespace json
+}  // namespace arrow

env-llmeval/lib/python3.10/site-packages/pyarrow/include/arrow/json/chunker.h

@@ -0,0 +1,35 @@
+// 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 <memory>
+
+#include "arrow/util/delimiting.h"
+#include "arrow/util/macros.h"
+#include "arrow/util/visibility.h"
+
+namespace arrow {
+namespace json {
+
+struct ParseOptions;
+
+ARROW_EXPORT
+std::unique_ptr<Chunker> MakeChunker(const ParseOptions& options);
+
+}  // namespace json
+}  // namespace arrow

env-llmeval/lib/python3.10/site-packages/pyarrow/include/arrow/json/converter.h

@@ -0,0 +1,94 @@
+// 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 <memory>
+#include <string>
+
+#include "arrow/status.h"
+#include "arrow/util/macros.h"
+#include "arrow/util/visibility.h"
+
+namespace arrow {
+
+class Array;
+class DataType;
+class Field;
+class MemoryPool;
+
+namespace json {
+
+/// \brief interface for conversion of Arrays
+///
+/// Converters are not required to be correct for arbitrary input- only
+/// for unconverted arrays emitted by a corresponding parser.
+class ARROW_EXPORT Converter {
+ public:
+  virtual ~Converter() = default;
+
+  /// convert an array
+  /// on failure, this converter may be promoted to another converter which
+  /// *can* convert the given input.
+  virtual Status Convert(const std::shared_ptr<Array>& in,
+                         std::shared_ptr<Array>* out) = 0;
+
+  std::shared_ptr<DataType> out_type() const { return out_type_; }
+
+  MemoryPool* pool() { return pool_; }
+
+ protected:
+  ARROW_DISALLOW_COPY_AND_ASSIGN(Converter);
+
+  Converter(MemoryPool* pool, const std::shared_ptr<DataType>& out_type)
+      : pool_(pool), out_type_(out_type) {}
+
+  MemoryPool* pool_;
+  std::shared_ptr<DataType> out_type_;
+};
+
+/// \brief produce a single converter to the specified out_type
+ARROW_EXPORT Status MakeConverter(const std::shared_ptr<DataType>& out_type,
+                                  MemoryPool* pool, std::shared_ptr<Converter>* out);
+
+class ARROW_EXPORT PromotionGraph {
+ public:
+  virtual ~PromotionGraph() = default;
+
+  /// \brief produce a valid field which will be inferred as null
+  virtual std::shared_ptr<Field> Null(const std::string& name) const = 0;
+
+  /// \brief given an unexpected field encountered during parsing, return a type to which
+  /// it may be convertible (may return null if none is available)
+  virtual std::shared_ptr<DataType> Infer(
+      const std::shared_ptr<Field>& unexpected_field) const = 0;
+
+  /// \brief given a type to which conversion failed, return a promoted type to which
+  /// conversion may succeed (may return null if none is available)
+  virtual std::shared_ptr<DataType> Promote(
+      const std::shared_ptr<DataType>& failed,
+      const std::shared_ptr<Field>& unexpected_field) const = 0;
+
+ protected:
+  ARROW_DISALLOW_COPY_AND_ASSIGN(PromotionGraph);
+  PromotionGraph() = default;
+};
+
+ARROW_EXPORT const PromotionGraph* GetPromotionGraph();
+
+}  // namespace json
+}  // namespace arrow

env-llmeval/lib/python3.10/site-packages/pyarrow/include/arrow/json/object_writer.h

@@ -0,0 +1,48 @@
+// 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 <memory>
+#include <string_view>
+
+#include "arrow/util/visibility.h"
+
+namespace arrow {
+namespace json {
+namespace internal {
+
+/// This class is a helper to serialize a json object to a string.
+/// It uses rapidjson in implementation.
+class ARROW_EXPORT ObjectWriter {
+ public:
+  ObjectWriter();
+  ~ObjectWriter();
+
+  void SetString(std::string_view key, std::string_view value);
+  void SetBool(std::string_view key, bool value);
+
+  std::string Serialize();
+
+ private:
+  class Impl;
+  std::unique_ptr<Impl> impl_;
+};
+
+}  // namespace internal
+}  // namespace json
+}  // namespace arrow

env-llmeval/lib/python3.10/site-packages/pyarrow/include/arrow/json/options.h

@@ -0,0 +1,74 @@
+// 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 "arrow/json/type_fwd.h"
+#include "arrow/util/visibility.h"
+
+namespace arrow {
+
+class DataType;
+class Schema;
+
+namespace json {
+
+enum class UnexpectedFieldBehavior : char {
+  /// Unexpected JSON fields are ignored
+  Ignore,
+  /// Unexpected JSON fields error out
+  Error,
+  /// Unexpected JSON fields are type-inferred and included in the output
+  InferType
+};
+
+struct ARROW_EXPORT ParseOptions {
+  // Parsing options
+
+  /// Optional explicit schema (disables type inference on those fields)
+  std::shared_ptr<Schema> explicit_schema;
+
+  /// Whether objects may be printed across multiple lines (for example pretty-printed)
+  ///
+  /// If true, parsing may be slower.
+  bool newlines_in_values = false;
+
+  /// How JSON fields outside of explicit_schema (if given) are treated
+  UnexpectedFieldBehavior unexpected_field_behavior = UnexpectedFieldBehavior::InferType;
+
+  /// Create parsing options with default values
+  static ParseOptions Defaults();
+};
+
+struct ARROW_EXPORT ReadOptions {
+  // Reader options
+
+  /// Whether to use the global CPU thread pool
+  bool use_threads = true;
+  /// Block size we request from the IO layer; also determines the size of
+  /// chunks when use_threads is true
+  int32_t block_size = 1 << 20;  // 1 MB
+
+  /// Create read options with default values
+  static ReadOptions Defaults();
+};
+
+}  // namespace json
+}  // namespace arrow

env-llmeval/lib/python3.10/site-packages/pyarrow/include/arrow/json/parser.h

@@ -0,0 +1,107 @@
+// 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 <memory>
+#include <string>
+
+#include "arrow/json/options.h"
+#include "arrow/status.h"
+#include "arrow/util/key_value_metadata.h"
+#include "arrow/util/macros.h"
+#include "arrow/util/visibility.h"
+
+namespace arrow {
+
+class Array;
+class Buffer;
+class MemoryPool;
+class KeyValueMetadata;
+class ResizableBuffer;
+
+namespace json {
+
+struct Kind {
+  enum type : uint8_t {
+    kNull,
+    kBoolean,
+    kNumber,
+    kString,
+    kArray,
+    kObject,
+    kNumberOrString
+  };
+
+  static const std::string& Name(Kind::type);
+
+  static const std::shared_ptr<const KeyValueMetadata>& Tag(Kind::type);
+
+  static Kind::type FromTag(const std::shared_ptr<const KeyValueMetadata>& tag);
+
+  static Status ForType(const DataType& type, Kind::type* kind);
+};
+
+/// \class BlockParser
+/// \brief A reusable block-based parser for JSON data
+///
+/// The parser takes a block of newline delimited JSON data and extracts Arrays
+/// of unconverted strings which can be fed to a Converter to obtain a usable Array.
+///
+/// Note that in addition to parse errors (such as malformed JSON) some conversion
+/// errors are caught at parse time:
+/// - A null value in non-nullable column
+/// - Change in the JSON kind of a column. For example, if an explicit schema is provided
+///   which stipulates that field "a" is integral, a row of {"a": "not a number"} will
+///   result in an error. This also applies to fields outside an explicit schema.
+class ARROW_EXPORT BlockParser {
+ public:
+  virtual ~BlockParser() = default;
+
+  /// \brief Reserve storage for scalars parsed from a block of json
+  virtual Status ReserveScalarStorage(int64_t nbytes) = 0;
+
+  /// \brief Parse a block of data
+  virtual Status Parse(const std::shared_ptr<Buffer>& json) = 0;
+
+  /// \brief Extract parsed data
+  virtual Status Finish(std::shared_ptr<Array>* parsed) = 0;
+
+  /// \brief Return the number of parsed rows
+  int32_t num_rows() const { return num_rows_; }
+
+  /// \brief Construct a BlockParser
+  ///
+  /// \param[in] pool MemoryPool to use when constructing parsed array
+  /// \param[in] options ParseOptions to use when parsing JSON
+  /// \param[out] out constructed BlockParser
+  static Status Make(MemoryPool* pool, const ParseOptions& options,
+                     std::unique_ptr<BlockParser>* out);
+
+  static Status Make(const ParseOptions& options, std::unique_ptr<BlockParser>* out);
+
+ protected:
+  ARROW_DISALLOW_COPY_AND_ASSIGN(BlockParser);
+
+  explicit BlockParser(MemoryPool* pool) : pool_(pool) {}
+
+  MemoryPool* pool_;
+  int32_t num_rows_ = 0;
+};
+
+}  // namespace json
+}  // namespace arrow