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+q = 0x40000000000000000000000000000000224698fc0994a8dd8c46eb2100000001
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+K = GF(q)
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+a = K(0x00)
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+b = K(0x05)
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+E = EllipticCurve(K, (a, b))
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+G = E(0x40000000000000000000000000000000224698fc0994a8dd8c46eb2100000000, 0x02)
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+
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+p = 0x40000000000000000000000000000000224698fc094cf91b992d30ed00000001
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+assert E.order() == p
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+F = GF(p)
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+
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+Poly.<X> = F[]
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+
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+k = 3
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+n = 2^k
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+
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+x = F(88)
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+
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+px = (F(110) + F(56) * X + F(89) * X^2 + F(6543) * X^3
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+ + F(2) * X^4 + F(110) * X^5 + F(44) * X^6 + F(78) * X^7)
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+assert px.degree() <= n
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+
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+base_G = [E.random_element(), E.random_element(), E.random_element(),
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+ E.random_element(), E.random_element(), E.random_element(),
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+ E.random_element(), E.random_element()]
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+base_H = E.random_element()
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+base_U = E.random_element()
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+
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+# Make the initial commitment to px
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+blind = F.random_element()
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+C = int(blind) * base_H + sum(int(k) * G for k, G in zip(px, base_G))
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+
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+# Dot product
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+def dot(x, y):
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+ result = None
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+ for x_i, y_i in zip(x, y):
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+ if result is None:
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+ result = int(x_i) * y_i
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+ else:
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+ result += int(x_i) * y_i
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+ return result
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+
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+## Step 2
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+# Sample a random polynomial of degree n - 1
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+s_poly = Poly([F.random_element() for _ in range(n)])
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+# Polynomial should evaluate to 0 at x
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+s_poly -= s_poly(x)
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+assert s_poly(x) == 0
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+
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+## Step 3
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+# Commitment randomness
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+s_poly_blind = F.random_element()
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+
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+## Step 4
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+s_poly_commitment = (int(s_poly_blind) * base_H
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+ + sum(int(k) * G for k, G in zip(s_poly, base_G)))
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+
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+## Step 5
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+iota = F.random_element()
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+
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+## Step 8 (following Halo2 not BCSM20 order)
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+z = F.random_element()
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+
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+## Step 6
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+final_poly = s_poly * iota + px
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+##############################
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+# This code is not in BCSM20 #
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+##############################
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+final_poly -= final_poly(x)
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+assert final_poly(x) == 0
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+##############################
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+
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+## Step 7
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+blind = s_poly_blind * iota + blind
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+
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+# Step 8 creation of C' does not happen in Halo2 (see the notes
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+# from "Comparison to other work")
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+
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+# Initialize the vectors in step 8
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+a = list(final_poly)
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+assert len(a) == n
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+
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+b = [x^i for i in range(n)]
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+assert len(b) == len(a)
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+assert dot(a, b) == final_poly(x)
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+
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+# Now loop from 3, 2, 1
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+half_3 = 2^2
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+assert half_3 * 2 == len(a) == len(b) == len(base_G)
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+
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+a_lo_4, a_hi_4 = a[:half_3], a[half_3:]
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+b_lo_4, b_hi_4 = b[:half_3], b[half_3:]
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+G_lo_4, G_hi_4 = base_G[:half_3], base_G[half_3:]
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+
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+l_3 = dot(a_hi_4, G_lo_4)
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+r_3 = dot(a_lo_4, G_hi_4)
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+value_l_3 = dot(a_hi_4, b_lo_4)
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+value_r_3 = dot(a_lo_4, b_hi_4)
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+l_randomness_3 = F.random_element()
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+r_randomness_3 = F.random_element()
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+l_3 += (int(value_l_3 * z) * base_U
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+ + int(l_randomness_3) * base_H)
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+r_3 += (int(value_r_3 * z) * base_U
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+ + int(r_randomness_3) * base_H)
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+
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+challenge_3 = F.random_element()
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+
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+a_3 = [a_lo_4_i + challenge_3^-1 * a_hi_4_i
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+ for a_lo_4_i, a_hi_4_i in zip(a_lo_4, a_hi_4)]
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+b_3 = [b_lo_4_i + challenge_3 * b_hi_4_i
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+ for b_lo_4_i, b_hi_4_i in zip(b_lo_4, b_hi_4)]
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+G_3 = [G_lo_4_i + int(challenge_3) * G_hi_4_i
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+ for G_lo_4_i, G_hi_4_i in zip(G_lo_4, G_hi_4)]
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+
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+# Not in the paper
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+blind += l_randomness_3 * challenge_3^-1
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+blind += r_randomness_3 * challenge_3
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+
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+# k = 2
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+half_2 = 2^1
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+assert half_2 * 2 == len(a_3) == len(b_3) == len(G_3)
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+
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+a_lo_3, a_hi_3 = a_3[:half_2], a_3[half_2:]
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+b_lo_3, b_hi_3 = b_3[:half_2], b_3[half_2:]
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+G_lo_3, G_hi_3 = G_3[:half_2], G_3[half_2:]
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+
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+l_2 = dot(a_hi_3, G_lo_3)
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+r_2 = dot(a_lo_3, G_hi_3)
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+value_l_2 = dot(a_hi_3, b_lo_3)
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+value_r_2 = dot(a_lo_3, b_hi_3)
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+l_randomness_2 = F.random_element()
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+r_randomness_2 = F.random_element()
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+l_2 += (int(value_l_2 * z) * base_U
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+ + int(l_randomness_2) * base_H)
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+r_2 += (int(value_r_2 * z) * base_U
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+ + int(r_randomness_2) * base_H)
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+
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+challenge_2 = F.random_element()
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+
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+a_2 = [a_lo_3_i + challenge_2^-1 * a_hi_3_i
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+ for a_lo_3_i, a_hi_3_i in zip(a_lo_3, a_hi_3)]
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+b_2 = [b_lo_3_i + challenge_2 * b_hi_3_i
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+ for b_lo_3_i, b_hi_3_i in zip(b_lo_3, b_hi_3)]
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+G_2 = [G_lo_3_i + int(challenge_2) * G_hi_3_i
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+ for G_lo_3_i, G_hi_3_i in zip(G_lo_3, G_hi_3)]
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+
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+blind += l_randomness_2 * challenge_2^-1
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+blind += r_randomness_2 * challenge_2
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+
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+# k = 1
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+half_1 = 2^0
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+assert half_1 * 2 == len(a_2) == len(b_2) == len(G_2)
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+
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+a_lo_2, a_hi_2 = a_2[:half_1], a_2[half_1:]
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+b_lo_2, b_hi_2 = b_2[:half_1], b_2[half_1:]
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+G_lo_2, G_hi_2 = G_2[:half_1], G_2[half_1:]
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+
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+l_1 = dot(a_hi_2, G_lo_2)
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+r_1 = dot(a_lo_2, G_hi_2)
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+value_l_1 = dot(a_hi_2, b_lo_2)
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+value_r_1 = dot(a_lo_2, b_hi_2)
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+l_randomness_1 = F.random_element()
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+r_randomness_1 = F.random_element()
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+l_1 += (int(value_l_1 * z) * base_U
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+ + int(l_randomness_1) * base_H)
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+r_1 += (int(value_r_1 * z) * base_U
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+ + int(r_randomness_1) * base_H)
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+
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+challenge_1 = F.random_element()
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+
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+a_1 = [a_lo_2_i + challenge_1^-1 * a_hi_2_i
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+ for a_lo_2_i, a_hi_2_i in zip(a_lo_2, a_hi_2)]
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+b_1 = [b_lo_2_i + challenge_1 * b_hi_2_i
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+ for b_lo_2_i, b_hi_2_i in zip(b_lo_2, b_hi_2)]
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+G_1 = [G_lo_2_i + int(challenge_1) * G_hi_2_i
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+ for G_lo_2_i, G_hi_2_i in zip(G_lo_2, G_hi_2)]
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+
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+blind += l_randomness_1 * challenge_1^-1
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+blind += r_randomness_1 * challenge_1
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+
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+# Finished looping
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+assert len(a_1) == 1
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+a = a_1[0]
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+
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