compression_batch.py

Deprecation Notice: With the introduction of daal4py, a package that supersedes PyDAAL, Intel is deprecating PyDAAL and will discontinue support starting with Intel® DAAL 2021 and Intel® Distribution for Python 2021. Until then Intel will continue to provide compatible pyDAAL pip and conda packages for newer releases of Intel DAAL and make it available in open source. However, Intel will not add the new features of Intel DAAL to pyDAAL. Intel recommends developers switch to and use daal4py.

Note: To find daal4py examples, refer to daal4py documentation or browse github repository.

 # file: compression_batch.py
 #===============================================================================
 # Copyright 2014-2019 Intel Corporation.
 #
 # This software and the related documents are Intel copyrighted  materials,  and
 # your use of  them is  governed by the  express license  under which  they were
 # provided to you (License).  Unless the License provides otherwise, you may not
 # use, modify, copy, publish, distribute,  disclose or transmit this software or
 # the related documents without Intel's prior written permission.
 #
 # This software and the related documents  are provided as  is,  with no express
 # or implied  warranties,  other  than those  that are  expressly stated  in the
 # License.
 #===============================================================================
 
 #
 # !  Content:
 # !    Python example of compression in the batch processing mode
 # !
 # !*****************************************************************************
 
 #
 ## <a name="DAAL-EXAMPLE-PY-COMPRESSION_BATCH"></a>
 ## \example compression_batch.py
 #
 
 import os
 import sys
 
 import numpy as np
 
 from daal.data_management import Compressor_Zlib, Decompressor_Zlib, level9, DecompressionStream, CompressionStream
 
 utils_folder = os.path.realpath(os.path.abspath(os.path.dirname(os.path.dirname(__file__))))
 if utils_folder not in sys.path:
     sys.path.insert(0, utils_folder)
 from utils import getCRC32, readTextFile
 
 DATA_PREFIX = os.path.join('..', 'data', 'batch')
 datasetFileName = os.path.join(DATA_PREFIX, 'logitboost_train.csv')
 
 
 def printCRC32(rawData, deCompressedData):
 
     # Compute checksums for raw data and the decompressed data
     crcRawData = getCRC32(rawData)
     crcDecompressedData = getCRC32(deCompressedData)
 
     print("\nCompression example program results:\n")
 
     print("Raw data checksum:    0x{:02X}".format(crcRawData))
     print("Decompressed data checksum: 0x{:02X}".format(crcDecompressedData))
 
     if rawData.size != deCompressedData.size:
         print("ERROR: Decompressed data size mismatches with the raw data size")
 
     elif crcRawData != crcDecompressedData:
         print("ERROR: Decompressed data CRC mismatches with the raw data CRC")
 
     else:
         print("OK: Decompressed data CRC matches with the raw data CRC")
 
 
 if __name__ == "__main__":
     # Read data from a file
     rawData = readTextFile(datasetFileName)
 
     # Create a compressor
     compressor = Compressor_Zlib()
     compressor.parameter.gzHeader = True
     compressor.parameter.level = level9
 
     # Create a stream for compression
     comprStream = CompressionStream(compressor)
 
     # Write raw data to the compression stream and compress if needed
     comprStream.push_back(rawData)
 
     # Allocate memory to store the compressed data
     compressedData = np.empty(comprStream.getCompressedDataSize(), dtype=np.uint8)
 
     # Store the compressed data
     comprStream.copyCompressedArray(compressedData)
 
     # Create a decompressor
     decompressor = Decompressor_Zlib()
     decompressor.parameter.gzHeader = True
 
     # Create a stream for decompression
     deComprStream = DecompressionStream(decompressor)
 
     # Write the compressed data to the decompression stream and decompress it
     deComprStream.push_back(compressedData)
 
     # Allocate memory to store the decompressed data
     deCompressedData = np.empty(deComprStream.getDecompressedDataSize(), dtype=np.uint8)
 
     # Store the decompressed data
     deComprStream.copyDecompressedArray(deCompressedData)
 
     # Compute and print checksums for raw data and the decompressed data
     printCRC32(rawData, deCompressedData)
For more complete information about compiler optimizations, see our Optimization Notice.
Select sticky button color: 
Orange (only for download buttons)