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:
 # 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 online processing mode
 # !
 # !*****************************************************************************
 ## \example
 import os
 import sys
 if sys.version[0] == '2':
     import Queue as Queue
     import queue as Queue
 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
 datasetFileName = os.path.join('..', 'data', 'online', 'logitboost_train.csv')
 # Queue for sending and receiving compressed data blocks
 # queue_DataBlock
 sendReceiveQueue = Queue.Queue()
 maxDataBlockSize = 16384     # Maximum size of a data block
 userDefinedBlockSize = 7000  # Size for read data from a decompression stream
 def getDataBlock(sentDataStream, availableDataSize):
     cur_pos = sentDataStream.size - availableDataSize
     # return next slice of array and remaining datasize
     if availableDataSize >= maxDataBlockSize:
         return (sentDataStream[cur_pos:cur_pos + maxDataBlockSize], availableDataSize - maxDataBlockSize)
     elif availableDataSize < maxDataBlockSize and availableDataSize > 0:
         return (sentDataStream[cur_pos:cur_pos + availableDataSize], 0)
     return (None,None)
 def sendDataBlock(block):
     currentBlock = np.copy(block)
     # Push the current compressed block to the queue
 def receiveDataBlock():
     # Stop at the end of the queue
     if sendReceiveQueue.empty():
         return None
     # Receive and copy the current compressed block from the queue
     return np.copy(sendReceiveQueue.get())
 def printCRC32(sentDataStream, receivedDataStream):
     # Compute checksums for full input data and full received data
     crcSentDataStream = getCRC32(sentDataStream)
     crcReceivedDataStream = getCRC32(receivedDataStream)
     print("\nCompression example program results:\n")
     print("Input data checksum:    0x{:02X}".format(crcSentDataStream))
     print("Received data checksum: 0x{:02X}".format(crcReceivedDataStream))
     if sentDataStream.size != receivedDataStream.size:
         print("ERROR: Received data size mismatches with the sent data size")
     elif crcSentDataStream != crcReceivedDataStream:
         print("ERROR: Received data CRC mismatches with the sent data CRC")
         print("OK: Received data CRC matches with the sent data CRC")
 if __name__ == "__main__":
     # Read data from a file and allocate memory
     sentDataStream = readTextFile(datasetFileName)
     # Create a compressor
     compressor = Compressor_Zlib()
     compressor.parameter.gzHeader = True
     compressor.parameter.level = level9
     # Create a stream for compression
     compressionStream = CompressionStream(compressor)
     # Receive data by blocks from sentDataStream for further compression and send it
     (uncompressedDataBlock, availableDataSize) = getDataBlock(sentDataStream, sentDataStream.size)
     while uncompressedDataBlock is not None:
         # Put a data block to compressionStream and compress if needed
         # Get access to compressed blocks stored in compressionStream without an actual compressed data copy
         compressedBlocks = compressionStream.getCompressedBlocksCollection()
         # Send compressed blocks stored in compressionStream
         for i in range(compressedBlocks.size()):
             # Send the current compressed block from compressionStream
         # Receive the next data block for compression
         (uncompressedDataBlock, availableDataSize) = getDataBlock(sentDataStream, availableDataSize)
     # Create a decompressor
     decompressor = Decompressor_Zlib()
     decompressor.parameter.gzHeader = True
     # Create a stream for decompression
     decompressionStream = DecompressionStream(decompressor)
     # Actual size of decompressed data currently read from decompressionStream
     readSize = 0
     # Received uncompressed data stream
     receivedDataStream = np.empty(0, dtype=np.uint8)
     tmp_block = np.empty(userDefinedBlockSize, dtype=np.uint8)
     # Receive compressed data by blocks
     compressedDataBlock = receiveDataBlock()
     while compressedDataBlock is not None:
         # Write a received block to decompressionStream
         # Asynchronous read from decompressionStream
         while True:
             # Read userDefinedBlockSize bytes from decompressionStream to the end of receivedDataStream
             readSize = decompressionStream.copyDecompressedArray(tmp_block)
             if readSize == 0:
             # Update the actual data size in receivedDataStream
             receivedDataStream = np.concatenate((receivedDataStream, tmp_block[:readSize]))
         # Receive next block
         compressedDataBlock = receiveDataBlock()
     # Compute and print checksums for sentDataStream and receivedDataStream
     printCRC32(sentDataStream, receivedDataStream)
For more complete information about compiler optimizations, see our Optimization Notice.
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