def snappy_decode(payload):
if not has_snappy():
raise NotImplementedError("Snappy codec is not available")
if payload.startswith(_XERIAL_HEADER):
# TODO ? Should become a fileobj ?
view = memoryview(payload)
out = []
length = len(payload)
cursor = 16
while cursor < length:
block_size = struct.unpack_from('!i', view, cursor)[0]
# Skip the block size
cursor += 4
end = cursor + block_size
# XXX snappy requires a bytes-like object but doesn't accept
# a memoryview, so we must copy.
out.append(snappy.decompress(view[cursor:end].tobytes()))
cursor = end
# See https://atleastfornow.net/blog/not-all-bytes/
return b''.join(out)
else:
return snappy.decompress(payload)
def decode_snappy(buff):
"""Decode a buffer using Snappy
If xerial is found to be in use, the buffer is decoded in a fashion
compatible with the xerial snappy library.
Adapted from kafka-python
https://github.com/mumrah/kafka-python/pull/127/files
"""
if snappy is None:
raise ImportError("Please install python-snappy")
if _detect_xerial_stream(buff):
out = StringIO()
body = buffer(buff[16:])
length = len(body)
cursor = 0
while cursor < length:
block_size = struct.unpack_from('!i', body[cursor:])[0]
cursor += 4
end = cursor + block_size
out.write(snappy.decompress(body[cursor:end]))
cursor = end
out.seek(0)
return out.read()
else:
return snappy.decompress(buff)
def snappy_unpack_blob(blob, sep=SEP):
if len(blob) == 0: return None
if blob[0] == 'S':
return np.array(snappy.decompress(blob[1:]).split(sep))
dt = lookup[blob[0]]
arr = np.frombuffer(snappy.decompress(blob[1:]), dtype=dt)
# hack since arrays arent writable from buffer and we need this for comp_het
# phasing.
if blob[0] == '?':
arr.setflags(write=True)
return arr
def get_subvolume(self, box_zyx, scale=0):
"""
Fetch a subvolume from the remote BrainMaps volume.
Args:
box: (start, stop) tuple, in ZYX order.
scale: Which scale to fetch the subvolume from.
Returns:
volume (ndarray), where volume.shape = (stop - start)
"""
box_zyx = np.asarray(box_zyx)
corner_zyx = box_zyx[0]
shape_zyx = box_zyx[1] - box_zyx[0]
corner_xyz = corner_zyx[::-1]
shape_xyz = shape_zyx[::-1]
snappy_data = fetch_subvol_data(self.http, self.project, self.dataset,
self.volume_id, corner_xyz, shape_xyz,
scale, self.change_stack_id,
self.use_gzip)
volume_buffer = snappy.decompress(snappy_data)
volume = np.frombuffer(volume_buffer,
dtype=self.dtype).reshape(shape_zyx)
return volume
def _read_page(fo, page_header, column_metadata):
"""Internal function to read the data page from the given file-object
and convert it to raw, uncompressed bytes (if necessary)."""
bytes_from_file = fo.read(page_header.compressed_page_size)
codec = column_metadata.codec
if codec is not None and codec != CompressionCodec.UNCOMPRESSED:
if column_metadata.codec == CompressionCodec.SNAPPY:
raw_bytes = snappy.decompress(bytes_from_file)
elif column_metadata.codec == CompressionCodec.GZIP:
io_obj = StringIO.StringIO(bytes_from_file)
with gzip.GzipFile(fileobj=io_obj, mode='rb') as f:
raw_bytes = f.read()
else:
raise ParquetFormatException(
"Unsupported Codec: {0}".format(codec))
else:
raw_bytes = bytes_from_file
logger.debug(
"Read page with compression type {0}. Bytes {1} -> {2}".format(
_get_name(CompressionCodec, codec),
page_header.compressed_page_size,
page_header.uncompressed_page_size))
assert len(raw_bytes) == page_header.uncompressed_page_size, \
"found {0} raw bytes (expected {1})".format(
len(raw_bytes),
page_header.uncompressed_page_size)
return raw_bytes
def load_experience_pairs(filename):
with open(INTEGRATE_DIR + filename, 'r') as file_ref:
json_str = snappy.decompress(file_ref.read())
print 'finished decompressing ' + filename
experiences = json.loads(json_str)
# compress_screen_hex(experiences)
return pair_experiences(experiences, filename)
def _ReadChunkFromBevy(self, chunk_id, bevy, bevy_index, index_size):
chunk_id_in_bevy = chunk_id % self.chunks_per_segment
if index_size == 0:
LOGGER.error("Index empty in %s: %s", self.urn, chunk_id)
raise IOError("Index empty in %s: %s" % (self.urn, chunk_id))
# The segment is not completely full.
if chunk_id_in_bevy >= index_size:
LOGGER.error("Bevy index too short in %s: %s", self.urn, chunk_id)
raise IOError("Bevy index too short in %s: %s" %
(self.urn, chunk_id))
(bevvy_offset, compressed_chunk_size) = bevy_index[chunk_id_in_bevy]
bevy.Seek(bevvy_offset, 0)
cbuffer = bevy.Read(compressed_chunk_size)
if self.compression == lexicon.AFF4_IMAGE_COMPRESSION_STORED or compressed_chunk_size == self.chunk_size:
return cbuffer
elif self.compression == lexicon.AFF4_IMAGE_COMPRESSION_ZLIB:
return zlib.decompress(cbuffer)
elif self.compression == lexicon.AFF4_IMAGE_COMPRESSION_SNAPPY:
return snappy.decompress(cbuffer)
else:
raise RuntimeError("Unable to process compression %s" %
self.compression)
def _read_block_header(self):
self.block_count = self.raw_decoder.read_long()
if self.codec == "null":
# Skip a long; we don't need to use the length.
self.raw_decoder.skip_long()
self._datum_decoder = self._raw_decoder
elif self.codec == 'deflate':
# Compressed data is stored as (length, data), which
# corresponds to how the "bytes" type is encoded.
data = self.raw_decoder.read_bytes()
# -15 is the log of the window size; negative indicates
# "raw" (no zlib headers) decompression. See zlib.h.
uncompressed = zlib.decompress(data, -15)
self._datum_decoder = io.BinaryDecoder(StringIO(uncompressed))
elif self.codec == 'snappy':
# Compressed data includes a 4-byte CRC32 checksum
length = self.raw_decoder.read_long()
data = self.raw_decoder.read(length - 4)
uncompressed = snappy.decompress(data)
self._datum_decoder = io.BinaryDecoder(StringIO(uncompressed))
self.raw_decoder.check_crc32(uncompressed)
elif self.codec == 'zstandard':
length = self.raw_decoder.read_long()
data = self.raw_decoder.read(length)
uncompressed = bytearray()
dctx = zstd.ZstdDecompressor()
with dctx.stream_reader(StringIO(data)) as reader:
while True:
chunk = reader.read(16384)
if not chunk:
break
uncompressed.extend(chunk)
self._datum_decoder = io.BinaryDecoder(StringIO(uncompressed))
else:
raise DataFileException("Unknown codec: %r" % self.codec)
def get_subvolume(self, box_zyx, scale=0):
"""
Fetch a subvolume from the remote BrainMaps volume.
Args:
box: (start, stop) tuple, in ZYX order.
scale: Which scale to fetch the subvolume from.
Returns:
volume (ndarray), where volume.shape = (stop - start)
"""
box_zyx = np.asarray(box_zyx)
corner_zyx = box_zyx[0]
shape_zyx = box_zyx[1] - box_zyx[0]
corner_xyz = corner_zyx[::-1]
shape_xyz = shape_zyx[::-1]
snappy_data = fetch_subvol_data( self.http,
self.project,
self.dataset,
self.volume_id,
corner_xyz,
shape_xyz,
scale,
self.change_stack_id,
self.use_gzip )
volume_buffer = snappy.decompress(snappy_data)
volume = np.frombuffer(volume_buffer, dtype=self.dtype).reshape(shape_zyx)
return volume
def demo_get(service, params, compress=False):
url = build_url(service, params, compress)
print("REQ:")
print(url)
ua = UAResponse()
msg = MSG()
print()
print("RESP:")
if compress:
data = snappy.decompress(urlopen(url).read())
else:
data = urlopen(url).read()
ua.ParseFromString(data)
if ua.Err == 0:
msg.ParseFromString(ua.Data)
# TODO: handle msg here
print(msg)
else:
print(ua)
def UnpackState(packed_state):
"""Convert a packed State binary string into a StateStruct object. If the
input doesn't have the STATE_MARK_ZIP prefix, it is assumed to be an old-style
compressed state object, and is directly decompressed.
Args:
packed_state - Binary string of the type produces by PackState.
Returns:
Populated StateStruct object.
"""
if not packed_state:
return None
if ord(packed_state[0]) == STATE_MARK_ZIP:
# Extract the meta-data Struct from the packed data.
meta = StateMeta()
meta.Deserialize(packed_state)
# Extract the compressed State from the packed data.
compressed_state = packed_state[meta.Size():]
# Compute the checksum and make sure it matches the metadata.
cksum = zlib.adler32(compressed_state)
if cksum != meta.checksum:
raise ValueError('Compressed State Checksum Error')
# Return the decompressed State.
return pickle.loads(zlib.decompress(compressed_state))
elif ord(packed_state[0]) == STATE_MARK_SNAPPY:
# Extract the meta-data Struct from the packed data.
meta = StateMeta()
meta.Deserialize(packed_state)
# Extract the compressed State from the packed data.
compressed_state = packed_state[meta.Size():]
# Compute the checksum and make sure it matches the metadata.
cksum = zlib.adler32(compressed_state)
if cksum != meta.checksum:
raise ValueError('Compressed State Checksum Error')
# Return the decompressed State.
return pickle.loads(snappy.decompress(compressed_state))
elif ord(packed_state[0]) == STATE_MARK_LIGHT:
# Extract the meta-data Struct from the packed data.
meta = StateMeta()
meta.Deserialize(packed_state)
# Extract the State buffer from the packed data.
state_buffer = packed_state[meta.Size():]
# Return the decompressed State.
return pickle.load(state_buffer)
else:
# Unsupported format.
raise ValueError('Unrecognized State serialization format')
def u_slug(username, slug):
user = current_user
post = user.posts.filter_by(slug=slug).first()
if post:
_prev = user.posts.filter(Post.created_timestamp < post.created_timestamp).slice(0, 4)
_next = Post.query.filter(User.username==user.username,Post.created_timestamp > post.created_timestamp).order_by(Post.created_timestamp).slice(0, 4)
_prev_count = _prev.count()
_next_count = _next.count()
if _prev_count < 2:
_next = _next.slice(0, 4 - _prev_count)
elif _next_count < 2:
_prev = _prev.slice(0, 4 - _next_count)
else:
_prev = _prev.slice(0, 2)
_next = _next.slice(0, 2)
if post.content:
# Decrypt
half_key = session[generate_hash(user.user_key_salt)]
key = xor_keys(half_key, app.config['MASTER_KEY'])
content = AES_decrypt(key, post.content)
content = snappy.decompress(content)
return render_template("post.html", content=content, user=user, post=post, next=_next, prev=_prev)
return render_template("post.html", content='', user=user, post=post, next=_next, prev=_prev)
abort(404)
def _get_data(cls, stream, encoding='utf-8', compress_option=None):
if isinstance(stream, six.text_type):
data = stream.encode(encoding)
elif isinstance(stream, six.binary_type):
data = stream
else:
data = stream.read(
) # due to the restriction of protobuf api, just read the data all
stream.close() # directly close the stream
if isinstance(data, six.text_type):
data = data.encode(encoding)
if compress_option is None or \
compress_option.algorithm == CompressOption.CompressAlgorithm.ODPS_RAW:
return data
elif compress_option.algorithm == CompressOption.CompressAlgorithm.ODPS_ZLIB:
return data # because requests do the unzip automatically, thanks to them O.O
elif compress_option.algorithm == CompressOption.CompressAlgorithm.ODPS_SNAPPY:
try:
import snappy
except ImportError:
raise errors.DependencyNotInstalledError(
'python-snappy library is required for snappy support')
data = snappy.decompress(data)
return data
else:
raise IOError('invalid compression option.')
def _read_page(file_obj, page_header, column_metadata):
"""Read the data page from the given file-object and convert it to raw, uncompressed bytes (if necessary)."""
bytes_from_file = file_obj.read(page_header.compressed_page_size)
codec = column_metadata.codec
if codec is not None and codec != parquet_thrift.CompressionCodec.UNCOMPRESSED:
if column_metadata.codec == parquet_thrift.CompressionCodec.SNAPPY:
raw_bytes = snappy.decompress(bytes_from_file)
elif column_metadata.codec == parquet_thrift.CompressionCodec.GZIP:
io_obj = io.BytesIO(bytes_from_file)
with gzip.GzipFile(fileobj=io_obj, mode='rb') as file_data:
raw_bytes = file_data.read()
else:
raise ParquetFormatException(
"Unsupported Codec: {0}".format(codec))
else:
raw_bytes = bytes_from_file
if logger.isEnabledFor(logging.DEBUG):
logger.debug(
"Read page with compression type %s. Bytes %d -> %d",
_get_name(parquet_thrift.CompressionCodec, codec),
page_header.compressed_page_size,
page_header.uncompressed_page_size)
assert len(raw_bytes) == page_header.uncompressed_page_size, \
"found {0} raw bytes (expected {1})".format(
len(raw_bytes),
page_header.uncompressed_page_size)
return raw_bytes
def _decompress_event(self, data: Union[BaseEvent, bytes]) -> BaseEvent:
if isinstance(data, BaseEvent):
return data
else:
import snappy
return cast(BaseEvent, pickle.loads(snappy.decompress(data)))
def _ReadChunkFromBevy(self, chunk_id, bevy, bevy_index, index_size):
chunk_id_in_bevy = chunk_id % self.chunks_per_segment
if index_size == 0:
LOGGER.error("Index empty in %s: %s", self.urn, chunk_id)
raise IOError("Index empty in %s: %s" % (self.urn, chunk_id))
# The segment is not completely full.
if chunk_id_in_bevy >= index_size:
LOGGER.error("Bevy index too short in %s: %s", self.urn, chunk_id)
raise IOError("Bevy index too short in %s: %s" %
(self.urn, chunk_id))
# For the last chunk in the bevy, consume to the end of the bevy
# segment.
if chunk_id_in_bevy == index_size - 1:
compressed_chunk_size = bevy.Size() - bevy.Tell()
else:
compressed_chunk_size = (bevy_index[chunk_id_in_bevy + 1] -
bevy_index[chunk_id_in_bevy])
bevy.Seek(bevy_index[chunk_id_in_bevy], 0)
cbuffer = bevy.Read(compressed_chunk_size)
if self.compression == lexicon.AFF4_IMAGE_COMPRESSION_ZLIB:
return zlib.decompress(cbuffer)
if snappy and self.compression == lexicon.AFF4_IMAGE_COMPRESSION_SNAPPY:
return snappy.decompress(cbuffer)
if self.compression == lexicon.AFF4_IMAGE_COMPRESSION_STORED:
return cbuffer
raise RuntimeError("Unable to process compression %s" %
self.compression)
def _get_data(cls, stream, encoding='utf-8', compress_option=None):
if isinstance(stream, six.text_type):
data = stream.encode(encoding)
elif isinstance(stream, six.binary_type):
data = stream
else:
data = stream.read() # due to the restriction of protobuf api, just read the data all
stream.close() # directly close the stream
if isinstance(data, six.text_type):
data = data.encode(encoding)
if compress_option is None or \
compress_option.algorithm == CompressOption.CompressAlgorithm.ODPS_RAW:
return data
elif compress_option.algorithm == CompressOption.CompressAlgorithm.ODPS_ZLIB:
return data # because requests do the unzip automatically, thanks to them O.O
elif compress_option.algorithm == CompressOption.CompressAlgorithm.ODPS_SNAPPY:
try:
import snappy
except ImportError:
raise errors.DependencyNotInstalledError(
'python-snappy library is required for snappy support')
data = snappy.decompress(data)
return data
else:
raise IOError('invalid compression option.')
def decode(cls, raw_msg: RawHeaderBody,
deserializer: AbstractDeserializer) -> RPCMessage:
header = munpackb(raw_msg.header)
msgtype = RPCMessageTypes(header['type'])
compressed = header['zip']
raw_data = raw_msg.body
if compressed:
if not has_snappy:
raise ConfigurationError('python-snappy is not installed')
raw_data = snappy.decompress(raw_data)
data = munpackb(raw_data)
metadata = metadata_types[msgtype].decode(data['meta'])
if msgtype in (RPCMessageTypes.FUNCTION, RPCMessageTypes.RESULT):
body = deserializer(data['body'])
else:
body = data['body']
return cls(
raw_msg.peer_id,
msgtype,
header['meth'],
header['okey'],
header['seq'],
metadata,
body,
)
def _ReadChunkFromBevy(self, chunk_id, bevy, bevy_index, index_size):
chunk_id_in_bevy = chunk_id % self.chunks_per_segment
if index_size == 0:
LOGGER.error("Index empty in %s: %s", self.urn, chunk_id)
raise IOError("Index empty in %s: %s" % (self.urn, chunk_id))
# The segment is not completely full.
if chunk_id_in_bevy >= index_size:
LOGGER.error("Bevy index too short in %s: %s",
self.urn, chunk_id)
raise IOError("Bevy index too short in %s: %s" % (
self.urn, chunk_id))
# For the last chunk in the bevy, consume to the end of the bevy
# segment.
if chunk_id_in_bevy == index_size - 1:
compressed_chunk_size = bevy.Size() - bevy.Tell()
else:
compressed_chunk_size = (bevy_index[chunk_id_in_bevy + 1] -
bevy_index[chunk_id_in_bevy])
bevy.Seek(bevy_index[chunk_id_in_bevy], 0)
cbuffer = bevy.Read(compressed_chunk_size)
if self.compression == lexicon.AFF4_IMAGE_COMPRESSION_ZLIB:
return zlib.decompress(cbuffer)
if snappy and self.compression == lexicon.AFF4_IMAGE_COMPRESSION_SNAPPY:
return snappy.decompress(cbuffer)
if self.compression == lexicon.AFF4_IMAGE_COMPRESSION_STORED:
return cbuffer
raise RuntimeError(
"Unable to process compression %s" % self.compression)
def _read_page(fo, page_header, column_metadata):
"""Internal function to read the data page from the given file-object
and convert it to raw, uncompressed bytes (if necessary)."""
bytes_from_file = fo.read(page_header.compressed_page_size)
codec = column_metadata.codec
if codec is not None and codec != CompressionCodec.UNCOMPRESSED:
if column_metadata.codec == CompressionCodec.SNAPPY:
raw_bytes = snappy.decompress(bytes_from_file)
elif column_metadata.codec == CompressionCodec.GZIP:
io_obj = StringIO.StringIO(bytes_from_file)
with gzip.GzipFile(fileobj=io_obj, mode='rb') as f:
raw_bytes = f.read()
else:
raise ParquetFormatException(
"Unsupported Codec: {0}".format(codec))
else:
raw_bytes = bytes_from_file
logger.debug(
"Read page with compression type {0}. Bytes {1} -> {2}".format(
_get_name(CompressionCodec,
codec), page_header.compressed_page_size,
page_header.uncompressed_page_size))
assert len(raw_bytes) == page_header.uncompressed_page_size, \
"found {0} raw bytes (expected {1})".format(
len(raw_bytes),
page_header.uncompressed_page_size)
return raw_bytes
def _decompress_bytes(data, codec):
if codec == b'null':
return data
elif codec == b'deflate':
# zlib.MAX_WBITS is the window size. '-' sign indicates that this is
# raw data (without headers). See zlib and Avro documentations for more
# details.
return zlib.decompress(data, -zlib.MAX_WBITS)
elif codec == b'snappy':
# Snappy is an optional avro codec.
# See Snappy and Avro documentation for more details.
try:
import snappy
except ImportError:
raise ValueError(
'python-snappy does not seem to be installed.')
# Compressed data includes a 4-byte CRC32 checksum which we verify.
# We take care to avoid extra copies of data while slicing large objects
# by use of a memoryview.
result = snappy.decompress(memoryview(data)[:-4])
avroio.BinaryDecoder(io.BytesIO(data[-4:])).check_crc32(result)
return result
else:
raise ValueError('Unknown codec: %r' % codec)
def _read_page(file_obj, page_header, column_metadata):
"""Read the data page from the given file-object and convert it to raw, uncompressed bytes (if necessary)."""
bytes_from_file = file_obj.read(page_header.compressed_page_size)
codec = column_metadata.codec
if codec is not None and codec != parquet_thrift.CompressionCodec.UNCOMPRESSED:
if column_metadata.codec == parquet_thrift.CompressionCodec.SNAPPY:
raw_bytes = snappy.decompress(bytes_from_file)
elif column_metadata.codec == parquet_thrift.CompressionCodec.GZIP:
io_obj = io.BytesIO(bytes_from_file)
with gzip.GzipFile(fileobj=io_obj, mode='rb') as file_data:
raw_bytes = file_data.read()
else:
raise ParquetFormatException(
"Unsupported Codec: {0}".format(codec))
else:
raw_bytes = bytes_from_file
if logger.isEnabledFor(logging.DEBUG):
logger.debug("Read page with compression type %s. Bytes %d -> %d",
_get_name(parquet_thrift.CompressionCodec,
codec), page_header.compressed_page_size,
page_header.uncompressed_page_size)
assert len(raw_bytes) == page_header.uncompressed_page_size, \
"found {0} raw bytes (expected {1})".format(
len(raw_bytes),
page_header.uncompressed_page_size)
return raw_bytes
def _read_block_header(self):
self._block_count = self.raw_decoder.read_long()
if self.codec == "null":
# Skip a long; we don't need to use the length.
self.raw_decoder.skip_long()
self._datum_decoder = self._raw_decoder
elif self.codec == 'deflate':
# Compressed data is stored as (length, data), which
# corresponds to how the "bytes" type is encoded.
data = self.raw_decoder.read_bytes()
# -15 is the log of the window size; negative indicates
# "raw" (no zlib headers) decompression. See zlib.h.
uncompressed = zlib.decompress(data, -15)
self._datum_decoder = avro_io.BinaryDecoder(
io.BytesIO(uncompressed))
elif self.codec == 'snappy':
# Compressed data includes a 4-byte CRC32 checksum
length = self.raw_decoder.read_long()
data = self.raw_decoder.read(length - 4)
uncompressed = snappy.decompress(data)
self._datum_decoder = avro_io.BinaryDecoder(
io.BytesIO(uncompressed))
self.raw_decoder.check_crc32(uncompressed)
else:
raise DataFileException("Unknown codec: %r" % self.codec)
def process_sqlite(path):
try:
import snappy
except ImportError:
print("Please install python-snappy module.\n", file=sys.stderr)
sys.exit(-1)
try:
import sqlite3
except ImportError:
print("Please install sqlite3 module.\n", file=sys.stderr)
sys.exit(-1)
conn = sqlite3.connect(path)
cur = conn.cursor()
data = cur.execute('SELECT * FROM object_data')
fetched = data.fetchall()
# uses undocumented nonstandard data format
# probably can break in the future
dataValue = snappy.decompress(fetched[0][4])
key_hash = dataValue.split(b"keyHash")[1][9:53].decode()
email = dataValue.split(b"email")[1][11:].split(b'\x00')[0].decode()
iterations = int.from_bytes(dataValue.split(b"kdfIterations")[1][3:7],
byteorder="little")
return [(email, key_hash, iterations)]
def decompress(x):
# Luckily \x78\x9c is an invalid preamble for Snappy:
# If the block was 120 bytes, the preamble would be \x78\x00.
# The first byte cannot be \x78 in any other case.
if x[0] == '\x78' and x[1] in ('\x9c', '\xda', '\x01'):
return zlib.decompress(x)
else:
return snappy.decompress(x)
def decompress(x):
# Luckily \x78\x9c is an invalid preamble for Snappy:
# If the block was 120 bytes, the preamble would be \x78\x00.
# The first byte cannot be \x78 in any other case.
if x[0] == '\x78' and x[1] in ('\x9c', '\xda', '\x01'):
return zlib.decompress(x)
else:
return snappy.decompress(x)
def decompress(self, readers_decoder):
# Compressed data includes a 4-byte CRC32 checksum
length = readers_decoder.read_long()
data = readers_decoder.read(length - 4)
uncompressed = snappy.decompress(data)
checksum = readers_decoder.read(4)
self.check_crc32(uncompressed, checksum)
return avro.io.BinaryDecoder(io.BytesIO(uncompressed))
def untransform(self, buf):
for trans_id in self.__read_transforms:
if trans_id == TRANSFORM.ZLIB:
buf = zlib.decompress(buf)
elif trans_id == TRANSFORM.SNAPPY:
buf = snappy.decompress(buf)
if trans_id not in self.__write_transforms:
self.__write_transforms.append(trans_id)
return buf
def decode_ins_ops(self, event):
"""Parses the data field of a MicroEventLog event and returns
a sequence of instruction ops (micro ops, grouped by instruction)."""
assert event.HasField('micro_event_log')
io_class = self._io_for_arch()
fp = StringIO.StringIO(snappy.decompress(event.micro_event_log.data))
with contextlib.closing(fp):
for ins_op in InstructionOpsDecoder(io_class(fp)).decode_stream():
yield ins_op
def untransform(self, buf):
for trans_id in self.__read_transforms:
if trans_id == self.ZLIB_TRANSFORM:
buf = zlib.decompress(buf)
elif trans_id == self.SNAPPY_TRANSFORM:
buf = snappy.decompress(buf)
if not trans_id in self.__write_transforms:
self.__write_transforms.append(trans_id)
return buf
def get_decompressed(self):
if self._decompressed != None:
return self._decompressed
if self._compressed != None:
self._decompressed = snappy.decompress(self._compressed)
return self._decompressed
return None
def decompress(self, compressed: bytes) -> bytes:
"""only one type for now"""
raw = compressed
if self._compression_type == CompressionType.SNAPPY:
raw = decompress(compressed)
return raw
def decode_micro_ops(self, event):
"""Parses the data field of a MicroEventLog event and returns
a sequence of micro ops. """
assert event.HasField('micro_event_log')
io_class = self._io_for_arch()
fp = StringIO.StringIO(snappy.decompress(event.micro_event_log.data))
with contextlib.closing(fp):
for op in MicroOpDecoder(io_class(fp)).decode_stream():
yield op
def memory_profile():
import snappy
data = bytearray(FILES[-1].read_bytes())
out1 = bytes(cramjam.snappy.compress_raw(data))
_out1 = bytes(cramjam.snappy.decompress_raw(out1))
out2 = snappy.compress(data)
_ou2 = snappy.decompress(out2)
def loads(classifier_ser):
d = pickle.loads(snappy.decompress(classifier_ser))
if d['classifier_name'] == 'plslinearsvmxval':
def decision_function(x):
for step_name, step in d['classifier'].steps[:-1]:
x = step.transform(x)
return d['classifier'].steps[-1][1].decision_function(x)
d['classifier'].decision_function = decision_function
return d['classifier']
def __init__(self, filename, writable=False, like=None):
try:
mode = os.stat(filename).st_mode
if not stat.S_ISREG(mode):
raise ValueError(
"filename %s doesn't refer to a regular file" % filename)
exists = True
if writable:
self.fp = open(filename, 'r+b')
else:
self.fp = open(filename, 'rb')
except FileNotFoundError as e:
exists = False
if not writable:
raise e
self.filename = filename
if exists:
if like != None:
raise ValueError(
"can't re-intilize existing pack like another")
fp = self.fp
magic = fp.read(4).decode('ascii')
if magic != "P4cK":
raise Exception("%s not a pack file" % filename)
try:
(self.frames_offset, hdr_len) = struct.unpack('II', fp.read(8))
snappy_header = fp.read(hdr_len)
header = snappy.decompress(snappy_header)
(self.major, self.minor, part0_size, n_properties,
n_sections) = struct.unpack('5I', header[:20])
if self.major != 1:
raise ValueError("Unsupported pack file version")
for n in range(0, n_sections):
off = 20 + n * 64
section_name = header[off:off +
64].decode('ascii').split('\0')[0]
self.section_names.append(section_name)
self.properties = Pack._unpack_properties(
header[20 + n_sections * 64:], max_properties=n_properties)
self._is_empty = False
except struct.error as e:
raise Exception('corrupt, truncated pack file')
else:
self._is_empty = True
def _decode(self, data):
"""
@return [val,owner="",schema="",expire=0,acl={}]
"""
crcint = j.data.hash.crc32_string(data[:-4])
crc = crcint.to_bytes(4, byteorder='big', signed=False)
if not crc == data[-4:]:
raise j.exceptions.Input(
message="Invalid checksum (CRC), is this a valid object ?:%s" %
data)
#
# parsing header
#
header = data[0]
counter = 1
owner = j.data.hash.bin2hex(data[counter:counter + 16]).decode()
counter += 16
if header & 0b1000000:
# schema defined
schema = j.data.hash.bin2hex(data[counter:counter + 16])
counter += 16
else:
# no schema
schema = ""
if header & 0b0100000:
# expire is set
expire = int.from_bytes(data[counter:counter + 4],
byteorder='big',
signed=False)
counter += 4
else:
expire = 0
nrsecrets = int.from_bytes(data[counter:counter + 1],
byteorder='big',
signed=False)
aclbin = data[counter:counter + 17 * nrsecrets + 1]
counter += 17 * nrsecrets + 1
acl = j.servers.kvs._aclUnserialze(aclbin)
val = data[counter:-4]
val = snappy.decompress(val)
if header & 0b0010000:
val = j.data.serializer.msgpack.loads(val)
return (val, owner, schema, expire, acl)
def decompress(self, data):
if self._message_encoding == "gzip" or self._message_encoding == "deflate":
import zlib
return zlib.decompress(data)
elif self._message_encoding == "snappy":
import snappy
return snappy.decompress(data)
else:
raise UnsupportedMessageEncodingError(
"Unsupported compression: {}".format(self._message_encoding))
def snappy_read_block(stream, buffer):
"""Read a block of data with the 'snappy' codec."""
block_len = read_long(stream)
data = stream.read(block_len)
# Trim off last 4 bytes which hold the CRC32
decompressed = snappy.decompress(data[:-4])
buffer.truncate(0)
buffer.seek(0)
buffer.write(decompressed)
buffer.seek(0)
def _get(key, callback, args):
r = cache_table.find_one({'_id': key})
if not r:
content = callback(*args)
data = bson.binary.Binary(snappy.compress(content))
cache_table.insert_one({'_id': key, 'data': data})
else:
data = r['data']
content = snappy.decompress(data)
return content
def _get(key, callback, args):
r = cache_table.find_one({'_id': key})
if not r:
content = callback(*args)
data = bson.binary.Binary(snappy.compress(content))
cache_table.insert_one({'_id': key, 'data': data})
else:
data = r['data']
content = snappy.decompress(data)
return content
def snappy_read_block(stream, buffer):
"""Read a block of data with the 'snappy' codec."""
block_len = read_long(stream)
data = stream.read(block_len)
# Trim off last 4 bytes which hold the CRC32
decompressed = snappy.decompress(data[:-4])
buffer.truncate(0)
buffer.seek(0)
buffer.write(decompressed)
buffer.seek(0)
def test_label(prob_dir, index, gt_label):
datum = caffe_pb2.Datum()
fn = '%010d' % index
f = open(os.path.join(prob_dir, fn), 'rb')
data = f.read()
f.close()
datum.ParseFromString(snappy.decompress(data))
pred_lb = np.argmax(np.asarray(datum.float_data))
return 1 if pred_lb == gt_label else 0
def untransform(self, buf):
for trans_id in self.__read_transforms:
if trans_id == TRANSFORM.ZLIB:
buf = zlib.decompress(buf)
elif trans_id == TRANSFORM.SNAPPY:
buf = snappy.decompress(buf)
elif trans_id == TRANSFORM.ZSTD:
buf = zstd.ZstdDecompressor().decompress(buf)
if trans_id not in self.__write_transforms:
self.__write_transforms.append(trans_id)
return buf
def read(self):
header = safe_recv(self._sock, self.HEADER_LEN)
if not header: return False
length = struct.unpack(self.HEADER_STRUCT, header)[0]
chunks = []
while length:
recv = safe_recv(self._sock, length)
if not recv: return False
chunks.append(recv)
length -= len(recv)
return snappy.decompress("".join(chunks))
def decompress_payload(self, raw_payload: bytes) -> bytes:
# Do the Snappy Decompression only if Snappy Compression is supported by the protocol
if self.snappy_support:
try:
return snappy.decompress(raw_payload)
except Exception as err:
# log this just in case it's a library error of some kind on valid messages.
self.logger.debug("Snappy decompression error on payload: %s", raw_payload.hex())
raise MalformedMessage from err
else:
return raw_payload
def Decompress(Input): Output = Input + '.unsnappy' file_in = file(Input, "rb") c_data = file_in.read() file_out = file(Output, "wb") data = snappy.decompress(c_data) file_out.write(data) file_out.close() file_in.close()
def get_question_title_desc(self, post_id: int) -> dict:
"""dict including title and excerpt fo a question by PostId"""
try:
data = json.loads(
snappy.decompress(
self.safe_get(self.question_details_key(post_id))))
except Exception:
# we might not have a record for that post_id:
# - post_id can be erroneous (from a mistyped link)
# - post_id can reference an excluded question (no answer)
data = [None, None]
return {"title": data[0], "excerpt": data[1]}
def receive(sock):
unpickler = pickle.Unpickler(sock)
result = OrderedDict([])
keylist = unpickler.load()
for col in keylist:
(length, ) = struct.unpack("!I", sock.read(4))
data = snappy.decompress(sock.read(length)).decode('utf-8')
result[col] = json.loads(data)
return result
def fget(self , inst):
if hasattr(inst, self.name+'_array') :
return getattr(inst, self.name+'_array')
nprow = getattr(inst, 'NumpyArrayTable__'+self.name)
#~ print 'fget',self.name, nprow, inst.id
if nprow is None or nprow.shape is None or nprow.dtype is None:
return None
if nprow.shape =='':
shape = ()
else:
shape = tuple([ int(v) for v in nprow.shape.split(',') ])
dt = np.dtype(nprow.dtype)
if nprow.compress == 'blosc':
buf = blosc.decompress(nprow.blob)
elif nprow.compress == 'zlib':
buf = zlib.decompress(nprow.blob)
elif nprow.compress == 'lz4':
buf = lz4.decompress(nprow.blob)
elif nprow.compress == 'snappy':
buf = snappy.decompress(nprow.blob)
elif nprow.compress is None:
buf = nprow.blob
if np.prod(shape)==0:
if len(buf) != 0:
arr = np.frombuffer( buf , dtype = dt)
else:
arr= np.empty( shape, dtype = dt )
else:
arr = np.frombuffer( buf , dtype = dt)
arr.flags.writeable = True
arr = arr.reshape(shape)
if self.arraytype == pq.Quantity:
arr = pq.Quantity(arr, units = nprow.units, copy =False)
# next access will be direct
setattr(inst, self.name+'_array', arr)
#~ delattr(inst, 'NumpyArrayTable__'+self.name)
return arr
def recv(self):
header = self.__fileobj.read(self.HEADER_LEN)
if len(header) < self.HEADER_LEN:
return None
length = struct.unpack(self.HEADER_STRUCT, header)[0]
chunks = []
while length:
recv = self.__fileobj.read(length)
if not recv:
return None
chunks.append(recv)
length -= len(recv)
return SerLib.loads(ZipLib.decompress("".join(chunks)))
def _get(url, callback, *args):
key = get_sha1_key(url)
r = cache_table.find_one({'_id': key})
if not r:
throttle.run()
r = requests.get(url)
content = callback(r, *args)
data = bson.binary.Binary(snappy.compress(content))
cache_table.insert_one({'_id': key, 'data': data})
else:
data = r['data']
content = snappy.decompress(data)
return content
def decode_micro_events(self, msg):
"""Parses the data field of a MicroEventLog event and returns a sequence
of MicroEvent messages."""
if self.arch == ZTrace_pb2.ARCH_X86:
read_ptr = read_uint32
elif self.arch == ZTrace_pb2.ARCH_X86_64:
read_ptr = read_uint64
else:
read_ptr = None # TBD, die?
if msg.HasField('micro_event_log'):
fp = cStringIO.StringIO(snappy.decompress(msg.micro_event_log.data))
curr_pc = 0
ent = None
while True:
rec_type = fp.read(1)
if not rec_type:
break
else:
rec_type = ord(rec_type)
if rec_type == OP_NEWPC:
pc = read_ptr(fp)
ent = MicroEvent(type=OP_NEWPC, pc=pc)
curr_pc = pc
elif rec_type == OP_MEMREAD:
ea = read_ptr(fp)
size = read_uint32(fp)
ent = MicroEvent(type=OP_MEMREAD, pc=curr_pc, ea=ea, size=size)
elif rec_type == OP_MEMWRITE:
ea = read_ptr(fp)
size = read_uint32(fp)
wdata = fp.read(size)
ent = MicroEvent(type=OP_MEMWRITE, pc=curr_pc, ea=ea, data=wdata, size=size)
elif rec_type == OP_REGWRITE:
assert 0 # TBD
elif rec_type == OP_XMMWRITE:
assert 0 # TBD
elif rec_type == OP_CALL:
target = read_ptr(fp)
sp = read_ptr(fp)
is_direct_call = read_bool(fp)
ent = MicroEvent(type=OP_CALL, pc=curr_pc, target=target, sp=sp, is_direct_call=is_direct_call)
elif rec_type == OP_RET:
sp = read_ptr(fp)
ent = MicroEvent(type=OP_RET, pc=curr_pc, sp=sp)
else:
print "%x" % (ord(rec_type))
assert 0
yield ent
def snappy_decode(payload):
if not has_snappy():
raise NotImplementedError("Snappy codec is not available")
if _detect_xerial_stream(payload):
# TODO ? Should become a fileobj ?
out = BytesIO()
byt = payload[16:]
length = len(byt)
cursor = 0
while cursor < length:
block_size = struct.unpack_from('!i', byt[cursor:])[0]
# Skip the block size
cursor += 4
end = cursor + block_size
out.write(snappy.decompress(byt[cursor:end]))
cursor = end
out.seek(0)
return out.read()
else:
return snappy.decompress(payload)
def view(filename, skip=1):
cv2.namedWindow('rgb')
cv2.namedWindow('depth')
cv2.moveWindow('rgb',640,0)
cv2.moveWindow('depth',0,0)
files = glob.glob('%s/*.snappy' % (filename,)) + glob.glob('%s/*.jpg' % (filename,))
files = sorted(files, key=lambda f: os.path.basename(f)[2:])[::skip]
for f in files:
if f.endswith('.jpg'):
cv2.imshow('rgb', cv2.imread(f))
cv2.waitKey(25)
if f.endswith('.snappy'):
depth = np.fromstring(snappy.decompress(open(f).read()), dtype='uint16').reshape((480,640))
cv2.imshow('depth', 1024./depth)
cv2.waitKey(25)
def read_message(self, message_type, compressed=False, read_size=True):
"""
Read a protobuf message
"""
if read_size:
size = self.read_vint32()
b = self.read(size)
else:
b = self.read()
if compressed:
b = snappy.decompress(b)
m = message_type()
m.ParseFromString(b)
return m
def __decompress(self, event):
original_event=event
try:
event['data']=snappy.decompress(event['data'])
self.logging.debug("Incoming data decompressed.")
event['header']['snappy']=False
except Exception as err:
self.logging.warn("Decompressing failed. Reason: %s"%err)
if self.purge == True:
return
try:
self.queuepool.outbox.put(event)
except QueueLocked:
self.queuepool.inbox.rescue(original_event)
self.queuepool.outbox.waitUntilPutAllowed()
def iter(rgb=True, depth=True, skip=1):
# Load the image
fns = []
fns_ = glob.glob(current_path+'/host-*/*/*.snappy')+glob.glob(current_path+'/host-*/*/*.jpg')
print len(fns_)
for fn in fns_:
host,_,fnbase = fn.split('/')[-3:]
fngroups = list(FN_RE.search(fnbase).groups())
cam = int(host[-1])-1
fns.append((fn, cam, float(fngroups[0])))
fns.sort(key=lambda x: x[2])
fns = fns[::skip]
for fn, cam, ts in fns:
if (fn.endswith('.ppm') or fn.endswith('.jpg')) and rgb:
yield ((cam, ts, cv2.imread(fn)),), ()
elif fn.endswith('.snappy') and depth:
d = np.fromstring(snappy.decompress(open(fn).read()), dtype=np.uint16).reshape((480, 640))
yield (), ((cam, ts, d),)
def _backend_get(self, keys):
keys, is_single = tup(keys, ret_is_single=True)
rows = self.cf.multiget(keys, columns=['value', 'compressed', 'format'])
ret = {}
for key, columns in rows.iteritems():
value = columns['value']
compressed = columns.get('compressed')
if compressed == 'zlib':
with g.stats.get_timer('permacache.deserialize.decompress_zlib'):
value = zlib.decompress(value)
elif compressed == 'snappy':
with g.stats.get_timer('permacache.deserialize.decompress_snappy'):
value = snappy.decompress(value)
elif compressed:
raise Exception("Unknown compression format %r(%r)"
% (compression, format))
format = columns.get('format') or 'pickle'
if format == 'pickle':
with g.stats.get_timer('permacache.deserialize.pickle'):
value = pickle.loads(value)
elif format == 'json':
with g.stats.get_timer('permacache.deserialize.json'):
value = json.loads(value)
else:
# we don't know how to deal with any other formats
raise Exception("Unknown permacache serialization format %r"
% (format,))
ret[key] = value
if is_single:
if ret:
return ret.values()[0]
else:
return None
else:
return ret
