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nmap/zenmap/radialnet/core/Interpolation.py

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Python

# vim: set fileencoding=utf-8 :
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class Linear2DInterpolator:
"""
Implements a bidimesional linear interpolator.
"""
def __init__(self):
"""
Constructor method of Linear2DInterpolator class
"""
self.__start_point = (0, 0)
"""Initial point of interpolation"""
self.__final_point = (0, 0)
"""Final point of interpolation"""
self.__interpolated_points = []
"""Interpolated points vector"""
def set_start_point(self, a, b):
"""
Set initial coordinate
Set final coordinate
@type a: number
@param a: The first component of final point
@type b: number
@param b: The second component of final point
"""
self.__start_point = (a, b)
def set_final_point(self, a, b):
"""
Set final coordinate
@type a: number
@param a: The first component of final point
@type b: number
@param b: The second component of final point
"""
self.__final_point = (a, b)
def get_weighed_points(self, number_of_pass, pass_vector):
"""
Return the vector of coordinates between the initial and final
coordinates with the specified size
@type number_of_pass: number
@param number_of_pass: The number of pass of interpolation
@rtype: list
@return: A list of tuples with interpolated points
"""
(ai, bi) = self.__start_point
(af, bf) = self.__final_point
a_conversion_factor = float(af - ai) / sum(pass_vector)
b_conversion_factor = float(bf - bi) / sum(pass_vector)
a_pass = 0
b_pass = 0
self.__interpolated_points = range(number_of_pass)
for i in range(0, number_of_pass):
a_pass += pass_vector[i] * a_conversion_factor
b_pass += pass_vector[i] * b_conversion_factor
self.__interpolated_points[i] = (ai + a_pass, bi + b_pass)
return self.__interpolated_points
def get_points(self, number_of_pass):
"""
Return the vector of coordinates between the initial and final
coordinates with the specified size
@type number_of_pass: number
@param number_of_pass: The number of pass of interpolation
@rtype: list
@return: A list of tuples with interpolated points
"""
(ai, bi) = self.__start_point
(af, bf) = self.__final_point
a_pass = float(af - ai) / number_of_pass
b_pass = float(bf - bi) / number_of_pass
self.__interpolated_points = range(number_of_pass)
for i in range(1, number_of_pass + 1):
self.__interpolated_points[i - 1] = (ai + a_pass * i,
bi + b_pass * i)
return self.__interpolated_points
if __name__ == "__main__":
# Testing application
i = Linear2DInterpolator()
i.set_start_point(0, 0)
i.set_final_point(1, 1)
print len(i.get_points(10)), i.get_points(10)