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
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_dataset_orc.cpython-36m-x86_64-linux-gnu.so	52536	0755	edit dl rm
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_feather.cpython-36m-x86_64-linux-gnu.so	94280	0755	edit dl rm
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_flight.cpython-36m-x86_64-linux-gnu.so	1124664	0755	edit dl rm
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_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
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_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/serialization.pxi (19086B)

# 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.

from cpython.ref cimport PyObject

import warnings

def _deprecate_serialization(name):
    msg = (
        "'pyarrow.{}' is deprecated as of 2.0.0 and will be removed in a "
        "future version. Use pickle or the pyarrow IPC functionality instead."
    ).format(name)
    warnings.warn(msg, FutureWarning, stacklevel=3)

def is_named_tuple(cls):
    """
    Return True if cls is a namedtuple and False otherwise.
    """
    b = cls.__bases__
    if len(b) != 1 or b[0] != tuple:
        return False
    f = getattr(cls, "_fields", None)
    if not isinstance(f, tuple):
        return False
    return all(isinstance(n, str) for n in f)

class SerializationCallbackError(ArrowSerializationError):
    def __init__(self, message, example_object):
        ArrowSerializationError.__init__(self, message)
        self.example_object = example_object

class DeserializationCallbackError(ArrowSerializationError):
    def __init__(self, message, type_id):
        ArrowSerializationError.__init__(self, message)
        self.type_id = type_id

cdef class SerializationContext(_Weakrefable):
    cdef:
        object type_to_type_id
        object whitelisted_types
        object types_to_pickle
        object custom_serializers
        object custom_deserializers
        object pickle_serializer
        object pickle_deserializer

def __init__(self):
        # Types with special serialization handlers
        self.type_to_type_id = dict()
        self.whitelisted_types = dict()
        self.types_to_pickle = set()
        self.custom_serializers = dict()
        self.custom_deserializers = dict()
        self.pickle_serializer = pickle.dumps
        self.pickle_deserializer = pickle.loads

def set_pickle(self, serializer, deserializer):
        """
        Set the serializer and deserializer to use for objects that are to be
        pickled.

Parameters
        ----------
        serializer : callable
            The serializer to use (e.g., pickle.dumps or cloudpickle.dumps).
        deserializer : callable
            The deserializer to use (e.g., pickle.dumps or cloudpickle.dumps).
        """
        self.pickle_serializer = serializer
        self.pickle_deserializer = deserializer

def clone(self):
        """
        Return copy of this SerializationContext.

Returns
        -------
        clone : SerializationContext
        """
        result = SerializationContext()
        result.type_to_type_id = self.type_to_type_id.copy()
        result.whitelisted_types = self.whitelisted_types.copy()
        result.types_to_pickle = self.types_to_pickle.copy()
        result.custom_serializers = self.custom_serializers.copy()
        result.custom_deserializers = self.custom_deserializers.copy()
        result.pickle_serializer = self.pickle_serializer
        result.pickle_deserializer = self.pickle_deserializer

return result

def register_type(self, type_, type_id, pickle=False,
                      custom_serializer=None, custom_deserializer=None):
        r"""
        EXPERIMENTAL: Add type to the list of types we can serialize.

Parameters
        ----------
        type\_ : type
            The type that we can serialize.
        type_id : string
            A string used to identify the type.
        pickle : bool
            True if the serialization should be done with pickle.
            False if it should be done efficiently with Arrow.
        custom_serializer : callable
            This argument is optional, but can be provided to
            serialize objects of the class in a particular way.
        custom_deserializer : callable
            This argument is optional, but can be provided to
            deserialize objects of the class in a particular way.
        """
        if not isinstance(type_id, str):
            raise TypeError("The type_id argument must be a string. The value "
                            "passed in has type {}.".format(type(type_id)))

self.type_to_type_id[type_] = type_id
        self.whitelisted_types[type_id] = type_
        if pickle:
            self.types_to_pickle.add(type_id)
        if custom_serializer is not None:
            self.custom_serializers[type_id] = custom_serializer
            self.custom_deserializers[type_id] = custom_deserializer

def _serialize_callback(self, obj):
        found = False
        for type_ in type(obj).__mro__:
            if type_ in self.type_to_type_id:
                found = True
                break

if not found:
            raise SerializationCallbackError(
                "pyarrow does not know how to "
                "serialize objects of type {}.".format(type(obj)), obj
            )

# use the closest match to type(obj)
        type_id = self.type_to_type_id[type_]
        if type_id in self.types_to_pickle:
            serialized_obj = {"data": self.pickle_serializer(obj),
                              "pickle": True}
        elif type_id in self.custom_serializers:
            serialized_obj = {"data": self.custom_serializers[type_id](obj)}
        else:
            if is_named_tuple(type_):
                serialized_obj = {}
                serialized_obj["_pa_getnewargs_"] = obj.__getnewargs__()
            elif hasattr(obj, "__dict__"):
                serialized_obj = obj.__dict__
            else:
                msg = "We do not know how to serialize " \
                      "the object '{}'".format(obj)
                raise SerializationCallbackError(msg, obj)
        return dict(serialized_obj, **{"_pytype_": type_id})

def _deserialize_callback(self, serialized_obj):
        type_id = serialized_obj["_pytype_"]
        if isinstance(type_id, bytes):
            # ARROW-4675: Python 2 serialized, read in Python 3
            type_id = frombytes(type_id)

if "pickle" in serialized_obj:
            # The object was pickled, so unpickle it.
            obj = self.pickle_deserializer(serialized_obj["data"])
        else:
            assert type_id not in self.types_to_pickle
            if type_id not in self.whitelisted_types:
                msg = "Type ID " + type_id + " not registered in " \
                      "deserialization callback"
                raise DeserializationCallbackError(msg, type_id)
            type_ = self.whitelisted_types[type_id]
            if type_id in self.custom_deserializers:
                obj = self.custom_deserializers[type_id](
                    serialized_obj["data"])
            else:
                # In this case, serialized_obj should just be
                # the __dict__ field.
                if "_pa_getnewargs_" in serialized_obj:
                    obj = type_.__new__(
                        type_, *serialized_obj["_pa_getnewargs_"])
                else:
                    obj = type_.__new__(type_)
                    serialized_obj.pop("_pytype_")
                    obj.__dict__.update(serialized_obj)
        return obj

def serialize(self, obj):
        """
        Call pyarrow.serialize and pass this SerializationContext.
        """
        return serialize(obj, context=self)

def serialize_to(self, object value, sink):
        """
        Call pyarrow.serialize_to and pass this SerializationContext.
        """
        return serialize_to(value, sink, context=self)

def deserialize(self, what):
        """
        Call pyarrow.deserialize and pass this SerializationContext.
        """
        return deserialize(what, context=self)

def deserialize_components(self, what):
        """
        Call pyarrow.deserialize_components and pass this SerializationContext.
        """
        return deserialize_components(what, context=self)

_default_serialization_context = SerializationContext()
_default_context_initialized = False

def _get_default_context():
    global _default_context_initialized
    from pyarrow.serialization import _register_default_serialization_handlers
    if not _default_context_initialized:
        _register_default_serialization_handlers(
            _default_serialization_context)
        _default_context_initialized = True
    return _default_serialization_context

cdef class SerializedPyObject(_Weakrefable):
    """
    Arrow-serialized representation of Python object.
    """
    cdef:
        CSerializedPyObject data

cdef readonly:
        object base

@property
    def total_bytes(self):
        cdef CMockOutputStream mock_stream
        with nogil:
            check_status(self.data.WriteTo(&mock_stream))

return mock_stream.GetExtentBytesWritten()

def write_to(self, sink):
        """
        Write serialized object to a sink.
        """
        cdef shared_ptr[COutputStream] stream
        get_writer(sink, &stream)
        self._write_to(stream.get())

cdef _write_to(self, COutputStream* stream):
        with nogil:
            check_status(self.data.WriteTo(stream))

def deserialize(self, SerializationContext context=None):
        """
        Convert back to Python object.
        """
        cdef PyObject* result

if context is None:
            context = _get_default_context()

with nogil:
            check_status(DeserializeObject(context, self.data,
                                           <PyObject*> self.base, &result))

# PyObject_to_object is necessary to avoid a memory leak;
        # also unpack the list the object was wrapped in in serialize
        return PyObject_to_object(result)[0]

def to_buffer(self, nthreads=1):
        """
        Write serialized data as Buffer.
        """
        cdef Buffer output = allocate_buffer(self.total_bytes)
        sink = FixedSizeBufferWriter(output)
        if nthreads > 1:
            sink.set_memcopy_threads(nthreads)
        self.write_to(sink)
        return output

@staticmethod
    def from_components(components):
        """
        Reconstruct SerializedPyObject from output of
        SerializedPyObject.to_components.
        """
        cdef:
            int num_tensors = components['num_tensors']
            int num_ndarrays = components['num_ndarrays']
            int num_buffers = components['num_buffers']
            list buffers = components['data']
            SparseTensorCounts num_sparse_tensors = SparseTensorCounts()
            SerializedPyObject result = SerializedPyObject()

num_sparse_tensors.coo = components['num_sparse_tensors']['coo']
        num_sparse_tensors.csr = components['num_sparse_tensors']['csr']
        num_sparse_tensors.csc = components['num_sparse_tensors']['csc']
        num_sparse_tensors.csf = components['num_sparse_tensors']['csf']
        num_sparse_tensors.ndim_csf = \
            components['num_sparse_tensors']['ndim_csf']

with nogil:
            check_status(GetSerializedFromComponents(num_tensors,
                                                     num_sparse_tensors,
                                                     num_ndarrays,
                                                     num_buffers,
                                                     buffers, &result.data))

return result

def to_components(self, memory_pool=None):
        """
        Return the decomposed dict representation of the serialized object
        containing a collection of Buffer objects which maximize opportunities
        for zero-copy.

Parameters
        ----------
        memory_pool : MemoryPool default None
            Pool to use for necessary allocations.

Returns

"""
        cdef PyObject* result
        cdef CMemoryPool* c_pool = maybe_unbox_memory_pool(memory_pool)

with nogil:
            check_status(self.data.GetComponents(c_pool, &result))

return PyObject_to_object(result)

def serialize(object value, SerializationContext context=None):
    """
    DEPRECATED: Serialize a general Python sequence for transient storage
    and transport.

.. deprecated:: 2.0
        The custom serialization functionality is deprecated in pyarrow 2.0,
        and will be removed in a future version. Use the standard library
        ``pickle`` or the IPC functionality of pyarrow (see :ref:`ipc` for
        more).

Notes
    -----
    This function produces data that is incompatible with the standard
    Arrow IPC binary protocol, i.e. it cannot be used with ipc.open_stream or
    ipc.open_file. You can use deserialize, deserialize_from, or
    deserialize_components to read it.

Parameters
    ----------
    value : object
        Python object for the sequence that is to be serialized.
    context : SerializationContext
        Custom serialization and deserialization context, uses a default
        context with some standard type handlers if not specified.

Returns
    -------
    serialized : SerializedPyObject

"""
    _deprecate_serialization("serialize")
    return _serialize(value, context)

def _serialize(object value, SerializationContext context=None):
    cdef SerializedPyObject serialized = SerializedPyObject()
    wrapped_value = [value]

if context is None:
        context = _get_default_context()

with nogil:
        check_status(SerializeObject(context, wrapped_value, &serialized.data))
    return serialized

def serialize_to(object value, sink, SerializationContext context=None):
    """
    DEPRECATED: Serialize a Python sequence to a file.

Parameters
    ----------
    value : object
        Python object for the sequence that is to be serialized.
    sink : NativeFile or file-like
        File the sequence will be written to.
    context : SerializationContext
        Custom serialization and deserialization context, uses a default
        context with some standard type handlers if not specified.
    """
    _deprecate_serialization("serialize_to")
    serialized = _serialize(value, context)
    serialized.write_to(sink)

def read_serialized(source, base=None):
    """
    DEPRECATED: Read serialized Python sequence from file-like object.

Parameters
    ----------
    source : NativeFile
        File to read the sequence from.
    base : object
        This object will be the base object of all the numpy arrays
        contained in the sequence.

Returns
    -------
    serialized : the serialized data
    """
    _deprecate_serialization("read_serialized")
    return _read_serialized(source, base=base)

def _read_serialized(source, base=None):
    cdef shared_ptr[CRandomAccessFile] stream
    get_reader(source, True, &stream)

cdef SerializedPyObject serialized = SerializedPyObject()
    serialized.base = base
    with nogil:
        check_status(ReadSerializedObject(stream.get(), &serialized.data))

return serialized

def deserialize_from(source, object base, SerializationContext context=None):
    """
    DEPRECATED: Deserialize a Python sequence from a file.

This only can interact with data produced by pyarrow.serialize or
    pyarrow.serialize_to.

Parameters
    ----------
    source : NativeFile
        File to read the sequence from.
    base : object
        This object will be the base object of all the numpy arrays
        contained in the sequence.
    context : SerializationContext
        Custom serialization and deserialization context.

Returns
    -------
    object
        Python object for the deserialized sequence.
    """
    _deprecate_serialization("deserialize_from")
    serialized = _read_serialized(source, base=base)
    return serialized.deserialize(context)

def deserialize_components(components, SerializationContext context=None):
    """
    DEPRECATED: Reconstruct Python object from output of
    SerializedPyObject.to_components.

Parameters
    ----------
    components : dict
        Output of SerializedPyObject.to_components
    context : SerializationContext, default None

Returns
    -------
    object : the Python object that was originally serialized
    """
    _deprecate_serialization("deserialize_components")
    serialized = SerializedPyObject.from_components(components)
    return serialized.deserialize(context)

def deserialize(obj, SerializationContext context=None):
    """
    DEPRECATED: Deserialize Python object from Buffer or other Python
    object supporting the buffer protocol.

This only can interact with data produced by pyarrow.serialize or
    pyarrow.serialize_to.

Parameters
    ----------
    obj : pyarrow.Buffer or Python object supporting buffer protocol
    context : SerializationContext
        Custom serialization and deserialization context.

Returns
    -------
    deserialized : object
    """
    _deprecate_serialization("deserialize")
    return _deserialize(obj, context=context)

def _deserialize(obj, SerializationContext context=None):
    source = BufferReader(obj)
    serialized = _read_serialized(source, base=obj)
    return serialized.deserialize(context)

cmd: