FM / pyarrow

/usr/local/lib64/python3.6/site-packages/pyarrow/

/usr/local/lib64/python3.6/site-packages/pyarrow

Name	Size	Mode	Actions
include/	-	0755	rm
includes/	-	0755	rm
tensorflow/	-	0755	rm
tests/	-	0755	rm
vendored/	-	0755	rm
__pycache__/	-	0755	rm
array.pxi	79609	0644	edit dl rm
benchmark.pxi	869	0644	edit dl rm
benchmark.py	856	0644	edit dl rm
builder.pxi	2688	0644	edit dl rm
cffi.py	2178	0644	edit dl rm
compat.pxi	1810	0644	edit dl rm
compat.py	1076	0644	edit dl rm
compute.py	22837	0644	edit dl rm
config.pxi	2613	0644	edit dl rm
csv.py	962	0644	edit dl rm
cuda.py	1087	0644	edit dl rm
dataset.py	33333	0644	edit dl rm
error.pxi	7807	0644	edit dl rm
feather.py	9258	0644	edit dl rm
filesystem.py	14468	0644	edit dl rm
flight.py	1794	0644	edit dl rm
fs.py	13444	0644	edit dl rm
gandiva.pyx	18447	0644	edit dl rm
hdfs.py	7527	0644	edit dl rm
io.pxi	64495	0644	edit dl rm
ipc.pxi	28821	0644	edit dl rm
ipc.py	8029	0644	edit dl rm
json.py	858	0644	edit dl rm
jvm.py	9593	0644	edit dl rm
lib.cpython-36m-x86_64-linux-gnu.so	3760528	0755	edit dl rm
lib.pxd	14442	0644	edit dl rm
lib.pyx	4373	0644	edit dl rm
libarrow.so.600	48162600	0755	edit dl rm
libarrow_dataset.so.600	2541120	0755	edit dl rm
libarrow_flight.so.600	12999784	0755	edit dl rm
libarrow_python.so.600	1848920	0755	edit dl rm
libarrow_python_flight.so.600	112728	0755	edit dl rm
libparquet.so.600	4458552	0755	edit dl rm
libplasma.so.600	251296	0755	edit dl rm
lib_api.h	19153	0644	edit dl rm
memory.pxi	7451	0644	edit dl rm
orc.py	5269	0644	edit dl rm
pandas-shim.pxi	7987	0644	edit dl rm
pandas_compat.py	42243	0644	edit dl rm
parquet.py	86844	0644	edit dl rm
plasma-store-server	482776	0755	edit dl rm
plasma.py	6075	0644	edit dl rm
public-api.pxi	12814	0644	edit dl rm
scalar.pxi	29182	0644	edit dl rm
serialization.pxi	19086	0644	edit dl rm
serialization.py	18202	0644	edit dl rm
table.pxi	72277	0644	edit dl rm
tensor.pxi	34311	0644	edit dl rm
types.pxi	79432	0644	edit dl rm
types.py	10381	0644	edit dl rm
util.py	5001	0644	edit dl rm
_compute.cpython-36m-x86_64-linux-gnu.so	717312	0755	edit dl rm
_compute.pxd	1149	0644	edit dl rm
_compute.pyx	41759	0644	edit dl rm
_csv.cpython-36m-x86_64-linux-gnu.so	312168	0755	edit dl rm
_csv.pxd	1602	0644	edit dl rm
_csv.pyx	39297	0644	edit dl rm
_cuda.pxd	1922	0644	edit dl rm
_cuda.pyx	34731	0644	edit dl rm
_dataset.cpython-36m-x86_64-linux-gnu.so	1080168	0755	edit dl rm
_dataset.pxd	1644	0644	edit dl rm
_dataset.pyx	120054	0644	edit dl rm
_dataset_orc.cpython-36m-x86_64-linux-gnu.so	52536	0755	edit dl rm
_dataset_orc.pyx	1345	0644	edit dl rm
_feather.cpython-36m-x86_64-linux-gnu.so	94280	0755	edit dl rm
_feather.pyx	3623	0644	edit dl rm
_flight.cpython-36m-x86_64-linux-gnu.so	1124664	0755	edit dl rm
_flight.pyx	93532	0644	edit dl rm
_fs.cpython-36m-x86_64-linux-gnu.so	469992	0755	edit dl rm
_fs.pxd	2484	0644	edit dl rm
_fs.pyx	40017	0644	edit dl rm
_generated_version.py	142	0644	edit dl rm
_hdfs.cpython-36m-x86_64-linux-gnu.so	127352	0755	edit dl rm
_hdfs.pyx	5471	0644	edit dl rm
_hdfsio.cpython-36m-x86_64-linux-gnu.so	208096	0755	edit dl rm
_hdfsio.pyx	13681	0644	edit dl rm
_json.cpython-36m-x86_64-linux-gnu.so	90616	0755	edit dl rm
_json.pyx	8406	0644	edit dl rm
_orc.cpython-36m-x86_64-linux-gnu.so	109776	0755	edit dl rm
_orc.pxd	2350	0644	edit dl rm
_orc.pyx	5151	0644	edit dl rm
_parquet.cpython-36m-x86_64-linux-gnu.so	507792	0755	edit dl rm
_parquet.pxd	22084	0644	edit dl rm
_parquet.pyx	47997	0644	edit dl rm
_plasma.cpython-36m-x86_64-linux-gnu.so	259168	0755	edit dl rm
_plasma.pyx	29495	0644	edit dl rm
_s3fs.cpython-36m-x86_64-linux-gnu.so	199496	0755	edit dl rm
_s3fs.pyx	11662	0644	edit dl rm
__init__.pxd	2195	0644	edit dl rm
__init__.py	21263	0644	edit dl rm

Edit: /usr/local/lib64/python3.6/site-packages/pyarrow/__init__.py (21263B)

# 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.

# flake8: noqa

"""
PyArrow is the python implementation of Apache Arrow.

Apache Arrow is a cross-language development platform for in-memory data.
It specifies a standardized language-independent columnar memory format for
flat and hierarchical data, organized for efficient analytic operations on
modern hardware. It also provides computational libraries and zero-copy
streaming messaging and interprocess communication.

For more information see the official page at https://arrow.apache.org
"""

import gc as _gc
import os as _os
import sys as _sys
import warnings as _warnings

try:
    from ._generated_version import version as __version__
except ImportError:
    # Package is not installed, parse git tag at runtime
    try:
        import setuptools_scm
        # Code duplicated from setup.py to avoid a dependency on each other

def parse_git(root, **kwargs):
            """
            Parse function for setuptools_scm that ignores tags for non-C++
            subprojects, e.g. apache-arrow-js-XXX tags.
            """
            from setuptools_scm.git import parse
            kwargs['describe_command'] = \
                "git describe --dirty --tags --long --match 'apache-arrow-[0-9].*'"
            return parse(root, **kwargs)
        __version__ = setuptools_scm.get_version('../',
                                                 parse=parse_git)
    except ImportError:
        __version__ = None

# ARROW-8684: Disable GC while initializing Cython extension module,
# to workaround Cython bug in https://github.com/cython/cython/issues/3603
_gc_enabled = _gc.isenabled()
_gc.disable()
import pyarrow.lib as _lib
if _gc_enabled:
    _gc.enable()

from pyarrow.lib import (BuildInfo, RuntimeInfo, MonthDayNano,
                         VersionInfo, cpp_build_info, cpp_version,
                         cpp_version_info, runtime_info, cpu_count,
                         set_cpu_count, enable_signal_handlers,
                         io_thread_count, set_io_thread_count)

def show_versions():
    """
    Print various version information, to help with error reporting.
    """
    # TODO: CPU information and flags
    print("pyarrow version info\n--------------------")
    print("Package kind: {}".format(cpp_build_info.package_kind
                                    if len(cpp_build_info.package_kind) > 0
                                    else "not indicated"))
    print("Arrow C++ library version: {0}".format(cpp_build_info.version))
    print("Arrow C++ compiler: {0} {1}"
          .format(cpp_build_info.compiler_id, cpp_build_info.compiler_version))
    print("Arrow C++ compiler flags: {0}"
          .format(cpp_build_info.compiler_flags))
    print("Arrow C++ git revision: {0}".format(cpp_build_info.git_id))
    print("Arrow C++ git description: {0}"
          .format(cpp_build_info.git_description))

from pyarrow.lib import (null, bool_,
                         int8, int16, int32, int64,
                         uint8, uint16, uint32, uint64,
                         time32, time64, timestamp, date32, date64, duration,
                         month_day_nano_interval,
                         float16, float32, float64,
                         binary, string, utf8,
                         large_binary, large_string, large_utf8,
                         decimal128, decimal256,
                         list_, large_list, map_, struct,
                         union, sparse_union, dense_union,
                         dictionary,
                         field,
                         type_for_alias,
                         DataType, DictionaryType, StructType,
                         ListType, LargeListType, MapType, FixedSizeListType,
                         UnionType, SparseUnionType, DenseUnionType,
                         TimestampType, Time32Type, Time64Type, DurationType,
                         FixedSizeBinaryType, Decimal128Type, Decimal256Type,
                         BaseExtensionType, ExtensionType,
                         PyExtensionType, UnknownExtensionType,
                         register_extension_type, unregister_extension_type,
                         DictionaryMemo,
                         KeyValueMetadata,
                         Field,
                         Schema,
                         schema,
                         unify_schemas,
                         Array, Tensor,
                         array, chunked_array, record_batch, nulls, repeat,
                         SparseCOOTensor, SparseCSRMatrix, SparseCSCMatrix,
                         SparseCSFTensor,
                         infer_type, from_numpy_dtype,
                         NullArray,
                         NumericArray, IntegerArray, FloatingPointArray,
                         BooleanArray,
                         Int8Array, UInt8Array,
                         Int16Array, UInt16Array,
                         Int32Array, UInt32Array,
                         Int64Array, UInt64Array,
                         ListArray, LargeListArray, MapArray,
                         FixedSizeListArray, UnionArray,
                         BinaryArray, StringArray,
                         LargeBinaryArray, LargeStringArray,
                         FixedSizeBinaryArray,
                         DictionaryArray,
                         Date32Array, Date64Array, TimestampArray,
                         Time32Array, Time64Array, DurationArray,
                         MonthDayNanoIntervalArray,
                         Decimal128Array, Decimal256Array, StructArray, ExtensionArray,
                         scalar, NA, _NULL as NULL, Scalar,
                         NullScalar, BooleanScalar,
                         Int8Scalar, Int16Scalar, Int32Scalar, Int64Scalar,
                         UInt8Scalar, UInt16Scalar, UInt32Scalar, UInt64Scalar,
                         HalfFloatScalar, FloatScalar, DoubleScalar,
                         Decimal128Scalar, Decimal256Scalar,
                         ListScalar, LargeListScalar, FixedSizeListScalar,
                         Date32Scalar, Date64Scalar,
                         Time32Scalar, Time64Scalar,
                         TimestampScalar, DurationScalar,
                         MonthDayNanoIntervalScalar,
                         BinaryScalar, LargeBinaryScalar,
                         StringScalar, LargeStringScalar,
                         FixedSizeBinaryScalar, DictionaryScalar,
                         MapScalar, StructScalar, UnionScalar,
                         ExtensionScalar)

# Buffers, allocation
from pyarrow.lib import (Buffer, ResizableBuffer, foreign_buffer, py_buffer,
                         Codec, compress, decompress, allocate_buffer)

from pyarrow.lib import (MemoryPool, LoggingMemoryPool, ProxyMemoryPool,
                         total_allocated_bytes, set_memory_pool,
                         default_memory_pool, system_memory_pool,
                         jemalloc_memory_pool, mimalloc_memory_pool,
                         logging_memory_pool, proxy_memory_pool,
                         log_memory_allocations, jemalloc_set_decay_ms)

# I/O
from pyarrow.lib import (NativeFile, PythonFile,
                         BufferedInputStream, BufferedOutputStream,
                         CompressedInputStream, CompressedOutputStream,
                         TransformInputStream, transcoding_input_stream,
                         FixedSizeBufferWriter,
                         BufferReader, BufferOutputStream,
                         OSFile, MemoryMappedFile, memory_map,
                         create_memory_map, MockOutputStream,
                         input_stream, output_stream)

from pyarrow._hdfsio import HdfsFile, have_libhdfs

from pyarrow.lib import (ChunkedArray, RecordBatch, Table, table,
                         concat_arrays, concat_tables)

# Exceptions
from pyarrow.lib import (ArrowCancelled,
                         ArrowCapacityError,
                         ArrowException,
                         ArrowKeyError,
                         ArrowIndexError,
                         ArrowInvalid,
                         ArrowIOError,
                         ArrowMemoryError,
                         ArrowNotImplementedError,
                         ArrowTypeError,
                         ArrowSerializationError)

# Serialization
from pyarrow.lib import (deserialize_from, deserialize,
                         deserialize_components,
                         serialize, serialize_to, read_serialized,
                         SerializationCallbackError,
                         DeserializationCallbackError)

import pyarrow.hdfs as hdfs

from pyarrow.ipc import serialize_pandas, deserialize_pandas
import pyarrow.ipc as ipc

from pyarrow.serialization import (default_serialization_context,
                                   register_default_serialization_handlers,
                                   register_torch_serialization_handlers)

import pyarrow.types as types

# deprecated top-level access

from pyarrow.filesystem import FileSystem as _FileSystem
from pyarrow.filesystem import LocalFileSystem as _LocalFileSystem
from pyarrow.hdfs import HadoopFileSystem as _HadoopFileSystem

from pyarrow.lib import SerializationContext as _SerializationContext
from pyarrow.lib import SerializedPyObject as _SerializedPyObject

_localfs = _LocalFileSystem._get_instance()

_msg = (
    "pyarrow.{0} is deprecated as of 2.0.0, please use pyarrow.fs.{1} instead."
)

_serialization_msg = (
    "'pyarrow.{0}' is deprecated and will be removed in a future version. "
    "Use pickle or the pyarrow IPC functionality instead."
)

_deprecated = {
    "localfs": (_localfs, "LocalFileSystem"),
    "FileSystem": (_FileSystem, "FileSystem"),
    "LocalFileSystem": (_LocalFileSystem, "LocalFileSystem"),
    "HadoopFileSystem": (_HadoopFileSystem, "HadoopFileSystem"),
}

_serialization_deprecatd = {
    "SerializationContext": _SerializationContext,
    "SerializedPyObject": _SerializedPyObject,
}

if _sys.version_info >= (3, 7):
    def __getattr__(name):
        if name in _deprecated:
            obj, new_name = _deprecated[name]
            _warnings.warn(_msg.format(name, new_name),
                           FutureWarning, stacklevel=2)
            return obj
        elif name in _serialization_deprecatd:
            _warnings.warn(_serialization_msg.format(name),
                           FutureWarning, stacklevel=2)
            return _serialization_deprecatd[name]

raise AttributeError(
            "module 'pyarrow' has no attribute '{0}'".format(name)
        )
else:
    localfs = _localfs
    FileSystem = _FileSystem
    LocalFileSystem = _LocalFileSystem
    HadoopFileSystem = _HadoopFileSystem
    SerializationContext = _SerializationContext
    SerializedPyObject = _SerializedPyObject

# Entry point for starting the plasma store

def _plasma_store_entry_point():
    """Entry point for starting the plasma store.

This can be used by invoking e.g.
    ``plasma_store -s /tmp/plasma -m 1000000000``
    from the command line and will start the plasma_store executable with the
    given arguments.
    """
    import pyarrow
    plasma_store_executable = _os.path.join(pyarrow.__path__[0],
                                            "plasma-store-server")
    _os.execv(plasma_store_executable, _sys.argv)

# ----------------------------------------------------------------------
# Deprecations

from pyarrow.util import _deprecate_api, _deprecate_class

read_message = _deprecate_api("read_message", "ipc.read_message",
                              ipc.read_message, "0.17.0")

read_record_batch = _deprecate_api("read_record_batch",
                                   "ipc.read_record_batch",
                                   ipc.read_record_batch, "0.17.0")

read_schema = _deprecate_api("read_schema", "ipc.read_schema",
                             ipc.read_schema, "0.17.0")

read_tensor = _deprecate_api("read_tensor", "ipc.read_tensor",
                             ipc.read_tensor, "0.17.0")

write_tensor = _deprecate_api("write_tensor", "ipc.write_tensor",
                              ipc.write_tensor, "0.17.0")

get_record_batch_size = _deprecate_api("get_record_batch_size",
                                       "ipc.get_record_batch_size",
                                       ipc.get_record_batch_size, "0.17.0")

get_tensor_size = _deprecate_api("get_tensor_size",
                                 "ipc.get_tensor_size",
                                 ipc.get_tensor_size, "0.17.0")

open_stream = _deprecate_api("open_stream", "ipc.open_stream",
                             ipc.open_stream, "0.17.0")

open_file = _deprecate_api("open_file", "ipc.open_file", ipc.open_file,
                           "0.17.0")

def _deprecate_scalar(ty, symbol):
    return _deprecate_class("{}Value".format(ty), symbol, "1.0.0")

ArrayValue = _deprecate_class("ArrayValue", Scalar, "1.0.0")
NullType = _deprecate_class("NullType", NullScalar, "1.0.0")

BooleanValue = _deprecate_scalar("Boolean", BooleanScalar)
Int8Value = _deprecate_scalar("Int8", Int8Scalar)
Int16Value = _deprecate_scalar("Int16", Int16Scalar)
Int32Value = _deprecate_scalar("Int32", Int32Scalar)
Int64Value = _deprecate_scalar("Int64", Int64Scalar)
UInt8Value = _deprecate_scalar("UInt8", UInt8Scalar)
UInt16Value = _deprecate_scalar("UInt16", UInt16Scalar)
UInt32Value = _deprecate_scalar("UInt32", UInt32Scalar)
UInt64Value = _deprecate_scalar("UInt64", UInt64Scalar)
HalfFloatValue = _deprecate_scalar("HalfFloat", HalfFloatScalar)
FloatValue = _deprecate_scalar("Float", FloatScalar)
DoubleValue = _deprecate_scalar("Double", DoubleScalar)
ListValue = _deprecate_scalar("List", ListScalar)
LargeListValue = _deprecate_scalar("LargeList", LargeListScalar)
MapValue = _deprecate_scalar("Map", MapScalar)
FixedSizeListValue = _deprecate_scalar("FixedSizeList", FixedSizeListScalar)
BinaryValue = _deprecate_scalar("Binary", BinaryScalar)
StringValue = _deprecate_scalar("String", StringScalar)
LargeBinaryValue = _deprecate_scalar("LargeBinary", LargeBinaryScalar)
LargeStringValue = _deprecate_scalar("LargeString", LargeStringScalar)
FixedSizeBinaryValue = _deprecate_scalar("FixedSizeBinary",
                                         FixedSizeBinaryScalar)
Decimal128Value = _deprecate_scalar("Decimal128", Decimal128Scalar)
Decimal256Value = _deprecate_scalar("Decimal256", Decimal256Scalar)
UnionValue = _deprecate_scalar("Union", UnionScalar)
StructValue = _deprecate_scalar("Struct", StructScalar)
DictionaryValue = _deprecate_scalar("Dictionary", DictionaryScalar)
Date32Value = _deprecate_scalar("Date32", Date32Scalar)
Date64Value = _deprecate_scalar("Date64", Date64Scalar)
Time32Value = _deprecate_scalar("Time32", Time32Scalar)
Time64Value = _deprecate_scalar("Time64", Time64Scalar)
TimestampValue = _deprecate_scalar("Timestamp", TimestampScalar)
DurationValue = _deprecate_scalar("Duration", DurationScalar)

# TODO: Deprecate these somehow in the pyarrow namespace
from pyarrow.ipc import (Message, MessageReader, MetadataVersion,
                         RecordBatchFileReader, RecordBatchFileWriter,
                         RecordBatchStreamReader, RecordBatchStreamWriter)

# ----------------------------------------------------------------------
# Returning absolute path to the pyarrow include directory (if bundled, e.g. in
# wheels)

def get_include():
    """
    Return absolute path to directory containing Arrow C++ include
    headers. Similar to numpy.get_include
    """
    return _os.path.join(_os.path.dirname(__file__), 'include')

def _get_pkg_config_executable():
    return _os.environ.get('PKG_CONFIG', 'pkg-config')

def _has_pkg_config(pkgname):
    import subprocess
    try:
        return subprocess.call([_get_pkg_config_executable(),
                                '--exists', pkgname]) == 0
    except FileNotFoundError:
        return False

def _read_pkg_config_variable(pkgname, cli_args):
    import subprocess
    cmd = [_get_pkg_config_executable(), pkgname] + cli_args
    proc = subprocess.Popen(cmd, stdout=subprocess.PIPE,
                            stderr=subprocess.PIPE)
    out, err = proc.communicate()
    if proc.returncode != 0:
        raise RuntimeError("pkg-config failed: " + err.decode('utf8'))
    return out.rstrip().decode('utf8')

def get_libraries():
    """
    Return list of library names to include in the `libraries` argument for C
    or Cython extensions using pyarrow
    """
    return ['arrow', 'arrow_python']

def create_library_symlinks():
    """
    With Linux and macOS wheels, the bundled shared libraries have an embedded
    ABI version like libarrow.so.17 or libarrow.17.dylib and so linking to them
    with -larrow won't work unless we create symlinks at locations like
    site-packages/pyarrow/libarrow.so. This unfortunate workaround addresses
    prior problems we had with shipping two copies of the shared libraries to
    permit third party projects like turbodbc to build their C++ extensions
    against the pyarrow wheels.

This function must only be invoked once and only when the shared libraries
    are bundled with the Python package, which should only apply to wheel-based
    installs. It requires write access to the site-packages/pyarrow directory
    and so depending on your system may need to be run with root.
    """
    import glob
    if _sys.platform == 'win32':
        return
    package_cwd = _os.path.dirname(__file__)

if _sys.platform == 'linux':
        bundled_libs = glob.glob(_os.path.join(package_cwd, '*.so.*'))

def get_symlink_path(hard_path):
            return hard_path.rsplit('.', 1)[0]
    else:
        bundled_libs = glob.glob(_os.path.join(package_cwd, '*.*.dylib'))

def get_symlink_path(hard_path):
            return '.'.join((hard_path.rsplit('.', 2)[0], 'dylib'))

for lib_hard_path in bundled_libs:
        symlink_path = get_symlink_path(lib_hard_path)
        if _os.path.exists(symlink_path):
            continue
        try:
            _os.symlink(lib_hard_path, symlink_path)
        except PermissionError:
            print("Tried creating symlink {}. If you need to link to "
                  "bundled shared libraries, run "
                  "pyarrow.create_library_symlinks() as root")

def get_library_dirs():
    """
    Return lists of directories likely to contain Arrow C++ libraries for
    linking C or Cython extensions using pyarrow
    """
    package_cwd = _os.path.dirname(__file__)
    library_dirs = [package_cwd]

def append_library_dir(library_dir):
        if library_dir not in library_dirs:
            library_dirs.append(library_dir)

# Search library paths via pkg-config. This is necessary if the user
    # installed libarrow and the other shared libraries manually and they
    # are not shipped inside the pyarrow package (see also ARROW-2976).
    pkg_config_executable = _os.environ.get('PKG_CONFIG') or 'pkg-config'
    for pkgname in ["arrow", "arrow_python"]:
        if _has_pkg_config(pkgname):
            library_dir = _read_pkg_config_variable(pkgname,
                                                    ["--libs-only-L"])
            # pkg-config output could be empty if Arrow is installed
            # as a system package.
            if library_dir:
                if not library_dir.startswith("-L"):
                    raise ValueError(
                        "pkg-config --libs-only-L returned unexpected "
                        "value {!r}".format(library_dir))
                append_library_dir(library_dir[2:])

if _sys.platform == 'win32':
        # TODO(wesm): Is this necessary, or does setuptools within a conda
        # installation add Library\lib to the linker path for MSVC?
        python_base_install = _os.path.dirname(_sys.executable)
        library_dir = _os.path.join(python_base_install, 'Library', 'lib')

if _os.path.exists(_os.path.join(library_dir, 'arrow.lib')):
            append_library_dir(library_dir)

# ARROW-4074: Allow for ARROW_HOME to be set to some other directory
    if _os.environ.get('ARROW_HOME'):
        append_library_dir(_os.path.join(_os.environ['ARROW_HOME'], 'lib'))
    else:
        # Python wheels bundle the Arrow libraries in the pyarrow directory.
        append_library_dir(_os.path.dirname(_os.path.abspath(__file__)))

return library_dirs

cmd: