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# 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
from pkg_resources import get_distribution, DistributionNotFound
try:
__version__ = get_distribution(__name__).version
except DistributionNotFound:
# package is not installed
try:
# This code is duplicated from setup.py to avoid a dependency on each
# other.
def parse_version(root):
from setuptools_scm import version_from_scm
import setuptools_scm.git
describe = (setuptools_scm.git.DEFAULT_DESCRIBE +
" --match 'apache-arrow-[0-9]*'")
# Strip catchall from the commandline
describe = describe.replace("--match *.*", "")
version = setuptools_scm.git.parse(root, describe)
if not version:
return version_from_scm(root)
else:
return version
import setuptools_scm
__version__ = setuptools_scm.get_version('../', parse=parse_version)
except (ImportError, LookupError):
__version__ = None
from pyarrow.lib import cpu_count, set_cpu_count
from pyarrow.lib import (null, bool_,
int8, int16, int32, int64,
uint8, uint16, uint32, uint64,
time32, time64, timestamp, date32, date64,
float16, float32, float64,
binary, string, decimal128,
list_, struct, union, dictionary, field,
type_for_alias,
DataType,
Field,
Schema,
schema,
Array, Tensor,
array, chunked_array, column,
from_numpy_dtype,
NullArray,
NumericArray, IntegerArray, FloatingPointArray,
BooleanArray,
Int8Array, UInt8Array,
Int16Array, UInt16Array,
Int32Array, UInt32Array,
Int64Array, UInt64Array,
ListArray, UnionArray,
BinaryArray, StringArray,
FixedSizeBinaryArray,
DictionaryArray,
Date32Array, Date64Array,
TimestampArray, Time32Array, Time64Array,
Decimal128Array, StructArray,
ArrayValue, Scalar, NA,
BooleanValue,
Int8Value, Int16Value, Int32Value, Int64Value,
UInt8Value, UInt16Value, UInt32Value, UInt64Value,
HalfFloatValue, FloatValue, DoubleValue, ListValue,
BinaryValue, StringValue, FixedSizeBinaryValue,
DecimalValue,
Date32Value, Date64Value, TimestampValue)
# Buffers, allocation
from pyarrow.lib import (Buffer, ResizableBuffer, foreign_buffer, py_buffer,
compress, decompress, allocate_buffer)
from pyarrow.lib import (MemoryPool, total_allocated_bytes,
set_memory_pool, default_memory_pool,
log_memory_allocations)
from pyarrow.lib import (HdfsFile, NativeFile, PythonFile,
FixedSizeBufferWriter,
BufferReader, BufferOutputStream,
OSFile, MemoryMappedFile, memory_map,
create_memory_map, have_libhdfs, have_libhdfs3,
MockOutputStream)
from pyarrow.lib import (ChunkedArray, Column, RecordBatch, Table,
concat_tables)
from pyarrow.lib import (ArrowException,
ArrowKeyError,
ArrowInvalid,
ArrowIOError,
ArrowMemoryError,
ArrowNotImplementedError,
ArrowTypeError,
ArrowSerializationError,
PlasmaObjectExists)
# Serialization
from pyarrow.lib import (deserialize_from, deserialize,
deserialize_components,
serialize, serialize_to, read_serialized,
SerializedPyObject, SerializationContext,
SerializationCallbackError,
DeserializationCallbackError)
from pyarrow.filesystem import FileSystem, LocalFileSystem
from pyarrow.hdfs import HadoopFileSystem
import pyarrow.hdfs as hdfs
from pyarrow.ipc import (Message, MessageReader,
RecordBatchFileReader, RecordBatchFileWriter,
RecordBatchStreamReader, RecordBatchStreamWriter,
read_message, read_record_batch, read_schema,
read_tensor, write_tensor,
get_record_batch_size, get_tensor_size,
open_stream,
open_file,
serialize_pandas, deserialize_pandas)
localfs = LocalFileSystem.get_instance()
from pyarrow.serialization import (default_serialization_context,
register_default_serialization_handlers,
register_torch_serialization_handlers)
import pyarrow.types as types
# 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 os
import pyarrow
import sys
plasma_store_executable = os.path.join(pyarrow.__path__[0], "plasma_store")
os.execv(plasma_store_executable, sys.argv)
# ----------------------------------------------------------------------
# Deprecations
from pyarrow.util import _deprecate_api # noqa
frombuffer = _deprecate_api('frombuffer', 'py_buffer', py_buffer, '0.9.0')
# ----------------------------------------------------------------------
# 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
"""
import os
return os.path.join(os.path.dirname(__file__), 'include')
def get_libraries():
"""
Return list of library names to include in the `libraries` argument for C
or Cython extensions using pyarrow
"""
return ['arrow_python']
def get_library_dirs():
"""
Return lists of directories likely to contain Arrow C++ libraries for
linking C or Cython extensions using pyarrow
"""
import os
import sys
package_cwd = os.path.dirname(__file__)
library_dirs = [package_cwd]
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?
site_packages, _ = os.path.split(package_cwd)
python_base_install, _ = os.path.split(site_packages)
library_dirs.append(os.path.join(python_base_install,
'Library', 'lib'))
return library_dirs