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1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 | # -*- coding: utf-8 -*-
# Copyright (c) 2006-2010 Filip Wasilewski <http://filipwasilewski.pl/>
# See COPYING for license details.
# $Id: numerix.py 154 2010-03-13 13:18:59Z filipw $
"""
Thin wrapper for numeric modules. Modify this to use wavelets with libraries other than NumPy.
Provides efficient mathematical functions and array datatypes.
"""
from numpy import ndarray, array, asarray
from numpy import empty, zeros, linspace, arange
from numpy import intp, float64, float32
from numpy import transpose, concatenate
from numpy import cumsum, cos, diff, exp, sinc
from numpy import argmax, mean
from numpy import convolve
from numpy import where, less, greater
from numpy import apply_along_axis
from numpy.fft import fft
default_dtype = float64
def as_float_array(source):
if isinstance(source, ndarray) and (source.dtype == float64 or source.dtype == float32):
return source
return array(source, default_dtype)
def contiguous_float64_array_from_any(source):
return array(source, float64) # ensure contiguous
def contiguous_float32_array_from_any(source):
return array(source, float32) # ensure contiguous
def astype(source, dtype):
return asarray(source, dtype)
def float64_memory_buffer_object(size):
return zeros((size,), float64)
def float32_memory_buffer_object(size):
return zeros((size,), float32)
def is_array_type(arr, typ):
return isinstance(arr, ndarray) and arr.dtype == typ
def keep(arr, keep_length):
length = len(arr)
if keep_length < length:
left_bound = (length - keep_length) / 2
return arr[left_bound:left_bound+keep_length]
return arr
def integrate(arr, step):
integral = cumsum(arr)
integral *= step
return integral
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