Python* API Reference for Intel® Data Analytics Acceleration Library 2018 Update 2

datastructures_packedsymmetric.py

1 # file: datastructures_packedsymmetric.py
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40 #===============================================================================
41 
42 #
43 # ! Content:
44 # ! Python example of using packed data structures
45 # !*****************************************************************************
46 
47 #
48 
51 
52 import os
53 import sys
54 
55 import numpy as np
56 
57 from daal.data_management import PackedSymmetricMatrix, NumericTableIface, BlockDescriptor, readOnly, readWrite
58 
59 utils_folder = os.path.realpath(os.path.abspath(os.path.dirname(os.path.dirname(__file__))))
60 if utils_folder not in sys.path:
61  sys.path.insert(0, utils_folder)
62 from utils import printArray
63 
64 
65 if __name__ == "__main__":
66 
67  print("Packed symmetric matrix example\n")
68 
69  nDim = 5
70  firstReadRow = 0
71  nRead = 5
72 
73  # Example of using a packed symmetric matrix
74  data = np.array([0.0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1.0, 1.1, 1.2, 1.3, 1.4], dtype=np.float64)
75 
76  dataTable = PackedSymmetricMatrix(NumericTableIface.lowerPackedSymmetricMatrix, data)
77 
78  block = BlockDescriptor()
79 
80  # Read a block of rows
81  dataTable.getBlockOfRows(firstReadRow, nRead, readOnly, block)
82  print("{} rows are read".format(block.getNumberOfRows()))
83  printArray(block.getArray(), nDim, block.getNumberOfRows(), block.getNumberOfColumns(),
84  "Print 3 rows from packed symmetric matrix as float:")
85 
86  # Read a feature(column) and write into it
87  readFeatureIdx = 2
88  dataTable.getBlockOfColumnValues(readFeatureIdx, firstReadRow, nDim, readWrite, block)
89  printArray(block.getArray(), 1, block.getNumberOfRows(), block.getNumberOfColumns(),
90  "Print the third feature of packed symmetric matrix:")
91 
92  # Set new value to a buffer and release it
93  dataBlock = block.getArray()
94  dataBlock[readFeatureIdx - 1] = -1
95  dataBlock[readFeatureIdx + 1] = -2
96  dataTable.releaseBlockOfColumnValues(block)
97 
98  # Read a block of rows. Ensure that data has changed
99  dataTable.getBlockOfRows(firstReadRow, nRead, readOnly, block)
100  print("{} rows are read".format(block.getNumberOfRows()))
101  printArray(block.getArray(), nDim, block.getNumberOfRows(), block.getNumberOfColumns(),
102  "Print 3 rows from packed symmetric matrix as float:")

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