Paillier_stats_on_r.py File Reference

Namespaces
namespace	Paillier_stats_on_r

Functions
	Paillier_stats_on_r.avg_curve_mod_k_by_r_value (t_pix_enc, vector_r_values, n, size_vec_r, p, q)
	According to r value.
	Paillier_stats_on_r.avg_curve_mod_k_by_r_value_inv (t_pix_enc, vector_r_values, n, size_vec_r, p, q)
	This function calculates and plots the average curve of encrypted pixel values modulo k by r value for inverse encryption.
	Paillier_stats_on_r.avg_curve_mod_k_by_pixel_value (t_pix_enc, vector_r_values, n, size_vec_r, p, q, inverse)
	According to initial pixel value.
	Paillier_stats_on_r.avg_curve_mod_2_by_pixel_value (t_pix_enc, vector_r_values, n, size_vec_r, title, inverse)
	According to initial pixel value with differents modulo.
	Paillier_stats_on_r.avg_curve_mod_4_by_pixel_value (t_pix_enc, vector_r_values, n, size_vec_r, title, inverse)
	This function calculates and plots the average curve of encrypted pixel values modulo 4 by initial pixel value.
	Paillier_stats_on_r.avg_curve_mod_k_by_pixel_value_in_common (t_pix_enc, t_pix_inv_enc, vector_r_values, n, size_vec_r, p, q)
	According to initial pixel value, with different modulo, with common values where there is no r value for modulo k = 0.
	Paillier_stats_on_r.avg_curve_mod_k_by_pixel_value_and_lessthan_m (t_pix_enc, vector_r_values, n, size_vec_r, p, q, m, inverse)
	This function calculates and plots the average curve of encrypted pixel values modulo k by initial pixel value and less than 2^m.
	Paillier_stats_on_r.main ()
	The main function that calls other functions to calculate and plot average curves of encrypted pixel values.

Variables
	Paillier_stats_on_r.f_pix = open("results_pix_p3q83nbR164.txt", "r")
	Initialisation, get data.
int	Paillier_stats_on_r.p = 3
int	Paillier_stats_on_r.q = 83
	Paillier_stats_on_r.lines_pix = f_pix.readlines()
list	Paillier_stats_on_r.t_pix_avg = []
list	Paillier_stats_on_r.count_pix = []
	Paillier_stats_on_r.n = int(lines_pix[0])
	Paillier_stats_on_r.size_vec_r = int(lines_pix[1])
list	Paillier_stats_on_r.vector_r_values = []
list	Paillier_stats_on_r.t_pix_enc = []
int	Paillier_stats_on_r.line_index = 2
	Paillier_stats_on_r.r_value = np.uint64(lines_pix[line_index].strip())
list	Paillier_stats_on_r.t_pix_enc_row = []
	Paillier_stats_on_r.pix_value = np.uint16(lines_pix[line_index].strip())
list	Paillier_stats_on_r.t_pix_enc_inv = []
	Curves.
list	Paillier_stats_on_r.t_pix_enc_inv_row = []
	Paillier_stats_on_r.x = np.invert(np.array(t_pix_enc[i][j], dtype=np.uint16))