Library Reference¶
First level variables¶
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__version__
¶ The version of the blosc package.
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blosclib_version
¶ The version of the Blosc C library.
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clib_versions
¶ A map for the versions of the compression libraries included in C library.
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cnames
¶ The list of compressors included in C library.
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cname2clib
¶ A map between compressor names and its libraries (or formats).
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ncores
¶ The number of cores detected.
Public functions¶
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blosc.
compress
(bytesobj[, typesize=8, clevel=9, shuffle=blosc.SHUFFLE, cname='blosclz']])¶ Compress bytesobj, with a given type size.
- Parameters
bytesobj : bytes-like object (supporting the buffer interface)
The data to be compressed.
typesize : int
The data type size.
clevel : int (optional)
The compression level from 0 (no compression) to 9 (maximum compression). The default is 9.
shuffle : int (optional)
The shuffle filter to be activated. Allowed values are blosc.NOSHUFFLE, blosc.SHUFFLE and blosc.BITSHUFFLE. The default is blosc.SHUFFLE.
cname : string (optional)
The name of the compressor used internally in Blosc. It can be any of the supported by Blosc (‘blosclz’, ‘lz4’, ‘lz4hc’, ‘snappy’, ‘zlib’, ‘zstd’ and maybe others too). The default is ‘blosclz’.
- Returns
out : str / bytes
The compressed data in form of a Python str / bytes object.
- Raises
TypeError
If bytesobj doesn’t support the buffer interface.
ValueError
If bytesobj is too long. If typesize is not within the allowed range. If clevel is not within the allowed range. If cname is not a valid codec.
Examples
>>> import array >>> a = array.array('i', range(1000*1000)) >>> a_bytesobj = a.tostring() >>> c_bytesobj = blosc.compress(a_bytesobj, typesize=4) >>> len(c_bytesobj) < len(a_bytesobj) True
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blosc.
compress_ptr
(address, items[, typesize=8, clevel=9, shuffle=blosc.SHUFFLE, cname='blosclz']])¶ Compress the data at address with given items and typesize.
- Parameters
address : int or long
the pointer to the data to be compressed
items : int
The number of items (of typesize) to be compressed.
typesize : int
The data type size.
clevel : int (optional)
The compression level from 0 (no compression) to 9 (maximum compression). The default is 9.
shuffle : int (optional)
The shuffle filter to be activated. Allowed values are blosc.NOSHUFFLE, blosc.SHUFFLE and blosc.BITSHUFFLE. The default is blosc.SHUFFLE.
cname : string (optional)
The name of the compressor used internally in Blosc. It can be any of the supported by Blosc (‘blosclz’, ‘lz4’, ‘lz4hc’, ‘snappy’, ‘zlib’, ‘zstd’ and maybe others too). The default is ‘blosclz’.
- Returns
out : str / bytes
The compressed data in form of a Python str / bytes object.
- Raises
TypeError
If address is not of type int or long.
ValueError
If items * typesize is larger than the maximum allowed buffer size. If typesize is not within the allowed range. If clevel is not within the allowed range. If cname is not within the supported compressors.
Notes
This function can be used anywhere that a memory address is available in Python. For example the Numpy “__array_interface__[‘data’][0]” construct, or when using the ctypes modules.
Importantly, the user is responsible for making sure that the memory address is valid and that the memory pointed to is contiguous. Passing a non-valid address has a high likelihood of crashing the interpreter by segfault.
Examples
>>> import numpy >>> items = 7 >>> np_array = numpy.arange(items) >>> c = blosc.compress_ptr(np_array.__array_interface__['data'][0], items, np_array.dtype.itemsize) >>> d = blosc.decompress(c) >>> np_ans = numpy.fromstring(d, dtype=np_array.dtype) >>> (np_array == np_ans).all() True
>>> import ctypes >>> typesize = 8 >>> data = [float(i) for i in range(items)] >>> Array = ctypes.c_double * items >>> a = Array(*data) >>> c = blosc.compress_ptr(ctypes.addressof(a), items, typesize) >>> d = blosc.decompress(c) >>> import struct >>> ans = [struct.unpack('d', d[i:i+typesize])[0] for i in range(0, items*typesize, typesize)] >>> data == ans True
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blosc.
decompress
(bytesobj)¶ Decompresses a bytesobj compressed object.
- Parameters
bytesobj : str / bytes
The data to be decompressed.
as_bytearray : bool, optional
If this flag is True then the return type will be a bytearray object instead of a bytesobject.
- Returns
out : str / bytes or bytearray
The decompressed data in form of a Python str / bytes object. If as_bytearray is True then this will be a bytearray object, otherwise this will be a str/ bytes object.
- Raises
TypeError
If bytesobj is not of type bytes or string.
Examples
>>> import array >>> a = array.array('i', range(1000*1000)) >>> a_bytesobj = a.tostring() >>> c_bytesobj = blosc.compress(a_bytesobj, typesize=4) >>> a_bytesobj2 = blosc.decompress(c_bytesobj) >>> a_bytesobj == a_bytesobj2 True >>> b"" == blosc.decompress(blosc.compress(b"", 1)) True >>> b"1"*7 == blosc.decompress(blosc.compress(b"1"*7, 8)) True >>> type(blosc.decompress(blosc.compress(b"1"*7, 8), ... as_bytearray=True)) is bytearray True
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blosc.
decompress_ptr
(bytesobj, address)¶ Decompresses a bytesobj compressed object into the memory at address.
- Parameters
bytesobj : str / bytes
The data to be decompressed.
address : int or long
the pointer to the data to be compressed
- Returns
nbytes : int
the number of bytes written to the buffer
- Raises
TypeError
If bytesobj is not of type bytes or string. If address is not of type int or long.
Notes
This function can be used anywhere that a memory address is available in Python. For example the Numpy “__array_interface__[‘data’][0]” construct, or when using the ctypes modules.
Importantly, the user is responsible for making sure that the memory address is valid and that the memory pointed to is contiguous and can be written to. Passing a non-valid address has a high likelihood of crashing the interpreter by segfault.
Examples
>>> import numpy >>> items = 7 >>> np_array = numpy.arange(items) >>> c = blosc.compress_ptr(np_array.__array_interface__['data'][0], items, np_array.dtype.itemsize) >>> np_ans = numpy.empty(items, dtype=np_array.dtype) >>> nbytes = blosc.decompress_ptr(c, np_ans.__array_interface__['data'][0]) >>> (np_array == np_ans).all() True >>> nbytes == items * np_array.dtype.itemsize True
>>> import ctypes >>> typesize = 8 >>> data = [float(i) for i in range(items)] >>> Array = ctypes.c_double * items >>> in_array = Array(*data) >>> c = blosc.compress_ptr(ctypes.addressof(in_array), items, typesize) >>> out_array = ctypes.create_string_buffer(items*typesize) >>> nbytes = blosc.decompress_ptr(c, ctypes.addressof(out_array)) >>> import struct >>> ans = [struct.unpack('d', out_array[i:i+typesize])[0] for i in range(0, items*typesize, typesize)] >>> data == ans True >>> nbytes == items * typesize True
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blosc.
pack_array
(array[, clevel=9, shuffle=blosc.SHUFFLE, cname='blosclz']])¶ Pack (compress) a NumPy array.
- Parameters
array : ndarray
The NumPy array to be packed.
clevel : int (optional)
The compression level from 0 (no compression) to 9 (maximum compression). The default is 9.
shuffle : int (optional)
The shuffle filter to be activated. Allowed values are blosc.NOSHUFFLE, blosc.SHUFFLE and blosc.BITSHUFFLE. The default is blosc.SHUFFLE.
cname : string (optional)
The name of the compressor used internally in Blosc. It can be any of the supported by Blosc (‘blosclz’, ‘lz4’, ‘lz4hc’, ‘snappy’, ‘zlib’, ‘zstd’ and maybe others too). The default is ‘blosclz’.
- Returns
out : str / bytes
The packed array in form of a Python str / bytes object.
- Raises
TypeError
If array does not quack like a numpy ndarray.
ValueError
If array.itemsize * array.size is larger than the maximum allowed buffer size. If typesize is not within the allowed range. If clevel is not within the allowed range. If cname is not within the supported compressors.
Examples
>>> import numpy >>> a = numpy.arange(1e6) >>> parray = blosc.pack_array(a) >>> len(parray) < a.size*a.itemsize True
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blosc.
unpack_array
(packed_array)¶ Unpack (decompress) a packed NumPy array.
- Parameters
packed_array : str / bytes
The packed array to be decompressed.
**kwargs : fix_imports / encoding / errors
Optional parameters that can be passed to the pickle.loads API https://docs.python.org/3/library/pickle.html#pickle.loads
- Returns
out : ndarray
The decompressed data in form of a NumPy array.
- Raises
TypeError
If packed_array is not of type bytes or string.
Examples
>>> import numpy >>> a = numpy.arange(1e6) >>> parray = blosc.pack_array(a) >>> len(parray) < a.size*a.itemsize True >>> a2 = blosc.unpack_array(parray) >>> numpy.alltrue(a == a2) True >>> a = numpy.array(['å', 'ç', 'ø']) >>> parray = blosc.pack_array(a) >>> a2 = blosc.unpack_array(parray) >>> numpy.alltrue(a == a2) True
Utilities¶
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blosc.
clib_info
(cname)¶ Return info for compression libraries in C library.
- Parameters
cname : str
The compressor name.
- Returns
out : tuple
The associated library name and version.
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blosc.
compressor_list
()¶ Returns a list of compressors available in C library.
- Parameters
None
- Returns
out : list
The list of names.
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blosc.
detect_number_of_cores
()¶ Detect the number of cores in this system.
- Returns
out : int
The number of cores in this system.
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blosc.
free_resources
()¶ Free possible memory temporaries and thread resources.
- Returns
out : None
Notes
Blosc maintain a pool of threads waiting for work as well as some temporary space. You can use this function to release these resources when you are not going to use Blosc for a long while.
Examples
>>> blosc.free_resources() >>>
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blosc.
get_clib
(bytesobj)¶ Return the name of the compression library for Blosc
bytesobj
buffer.- Parameters
bytesobj : str / bytes
The compressed buffer.
- Returns
out : str
The name of the compression library.
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blosc.
set_blocksize
(blocksize)¶ Force the use of a specific blocksize. If 0, an automatic blocksize will be used (the default).
Notes
This is a low-level function and is recommened for expert users only.
Examples
>>> blosc.set_blocksize(512) >>> blosc.set_blocksize(0)
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blosc.
set_nthreads
(nthreads)¶ Set the number of threads to be used during Blosc operation.
- Parameters
nthreads : int
The number of threads to be used during Blosc operation.
- Returns
out : int
The previous number of used threads.
- Raises
ValueError
If nthreads is larger that the maximum number of threads blosc can use.
Notes
The number of threads for Blosc is the maximum number of cores detected on your machine (via
detect_number_of_cores
). In some cases Blosc gets better results if you set the number of threads to a value slightly below than your number of cores.Examples
Set the number of threads to 2 and then to 1:
>>> oldn = blosc.set_nthreads(2) >>> blosc.set_nthreads(1) 2
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blosc.
set_releasegil
(gitstate)¶ Sets a boolean on whether to release the Python global inter-lock (GIL) during c-blosc compress and decompress operations or not. This defaults to False.
Notes
Designed to be used with larger chunk sizes and a ThreadPool. There is a small performance penalty with releasing the GIL that will more harshly penalize small block sizes.
Examples
>>> oldReleaseState = blosc.set_releasegil(True)
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blosc.
print_versions
()¶ Print all the versions of software that python-blosc relies on.