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Optimized for speed #65

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  1. Used numpy functions to compute slice indices and extract data from input arrays, instead of Python list comprehension and indexing operations.
  2. Used numpy functions for random number generation and array manipulation, instead of Python random module and list manipulation operations.
  3. Used numpy function for array concatenation, instead of Python list concatenation.

@ajinkya-kulkarni
Optimized for speed
be3a3eb 
1. Used numpy functions to compute slice indices and extract data from input arrays, instead of Python list comprehension and indexing operations.
2. Used numpy functions for random number generation and array manipulation, instead of Python random module and list manipulation operations.
3. Used numpy function for array concatenation, instead of Python list concatenation.
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