after fixing bag with dictionary in init of SignatureFunction
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@ -14,11 +14,16 @@ class SignatureFunction(object):
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def __init__(self, values=None, counter=None):
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# set values of signature jumps
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if counter is None:
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counter = collections.Counter()
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if values is None:
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values = []
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assert all(x < 1 for x, y in values),\
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"Signature function is defined on the interval [0, 1)."
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counter = collections.Counter(dict(values))
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msg = "Signature function is defined on the interval [0, 1)."
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assert all(k < 1 for k, v in values), msg
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for k, v in values:
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counter[k] += v
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self.cnt_signature_jumps = counter
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def sum_of_absolute_values(self):
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@ -31,6 +36,7 @@ class SignatureFunction(object):
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# to read values for t^2
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new_data = []
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for jump_arg, jump in self.cnt_signature_jumps.items():
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if jump != 0:
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new_data.append((jump_arg/2, jump))
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new_data.append((1/2 + jump_arg/2, jump))
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return SignatureFunction(values=new_data)
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@ -39,7 +45,7 @@ class SignatureFunction(object):
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# to read values for t^(1/2)
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new_data = []
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for jump_arg, jump in self.cnt_signature_jumps.items():
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if jump_arg < 1/2:
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if jump_arg < 1/2 and jump != 0:
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new_data.append((2 * jump_arg, jump))
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return SignatureFunction(values=new_data)
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@ -47,16 +53,22 @@ class SignatureFunction(object):
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# to read values for t^(1/2)
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counter = collections.Counter()
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for jump_arg, jump in self.cnt_signature_jumps.items():
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if jump_arg >= 1/2:
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if jump_arg >= 1/2 and jump != 0:
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counter[mod_one(2 * jump_arg)] = jump
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return SignatureFunction(counter=counter)
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def is_big(self):
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max = 0
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items = self.cnt_signature_jumps.items()
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for arg, _ in items:
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# current = sum([jump for jump_arg, jump in items if jump_arg <= arg])
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current = self(arg)
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current = 0
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items = sorted(self.cnt_signature_jumps.items())
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for arg, jump in items:
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current += 2 * jump
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msg = "current = " + str(current) + ", jump = " + str(jump)
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msg += "\n" + str(self(arg))
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result = [jump for jump_arg, jump in self.cnt_signature_jumps.items() if jump_arg < mod_one(arg)]
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msg += "\nresult = " + str(sum(result))
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msg += "\narg = " + str(arg)
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assert current == self(arg) + jump, msg
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if abs(current) > abs(max):
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max = current
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# if abs(max) > 9:
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@ -68,7 +80,12 @@ class SignatureFunction(object):
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new_data = []
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for jump_arg, jump in self.cnt_signature_jumps.items():
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new_data.append((mod_one(jump_arg + shift), jump))
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return SignatureFunction(values=new_data)
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sf = SignatureFunction(values=new_data)
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counter = collections.Counter({mod_one(k + shift) : v \
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for k,v in self.cnt_signature_jumps.items()})
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assert SignatureFunction(counter=counter) == \
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SignatureFunction(values=new_data)
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return SignatureFunction(counter=counter)
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def __lshift__(self, shift):
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return self.__rshift__(-shift)
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@ -93,7 +110,8 @@ class SignatureFunction(object):
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def __str__(self):
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result = ''.join([str(jump_arg) + ": " + str(jump) + "\n"
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for jump_arg, jump in sorted(self.cnt_signature_jumps.items())])
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for jump_arg, jump in sorted(self.cnt_signature_jumps.items())
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if jump != 0])
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return result
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def __repr__(self):
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@ -104,10 +122,9 @@ class SignatureFunction(object):
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def __call__(self, arg):
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# return the value of the signature function at the point arg, i.e.
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# sum of all signature jumps that occur before arg
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arg = mod_one(arg)
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cnt = self.cnt_signature_jumps
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before_arg = [jump for jump_arg, jump in cnt.items() if jump_arg < arg]
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return 2 * sum(before_arg) + cnt[arg]
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items = self.cnt_signature_jumps.items()
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result = [jump for jump_arg, jump in items if jump_arg < mod_one(arg)]
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return 2 * sum(result) + self.cnt_signature_jumps[arg]
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def total_sign_jump(self):
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# Total signature jump is the sum of all jumps.
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@ -267,6 +284,65 @@ class TorusCable(object):
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signature_as_function_of_theta_docstring
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return signature_as_function_of_theta
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@staticmethod
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def get_blanchfield_for_pattern(k_n, theta):
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if theta == 0:
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sf = TorusCable.get_untwisted_signature_function(k_n)
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return sf.square_root() + sf.minus_square_root()
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results = []
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k = abs(k_n)
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ksi = 1/(2 * k + 1)
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counter = collections.Counter()
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# print("lambda_odd, i.e. (theta + e) % 2 != 0")
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for e in range(1, k + 1):
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if (theta + e) % 2 != 0:
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counter[e * ksi] = 1 * sgn(k_n)
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counter[1 - e * ksi] = -1 * sgn(k_n)
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results.append((e * ksi, 1 * sgn(k_n)))
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results.append((1 - e * ksi, -1 * sgn(k_n)))
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# for example for k = 9 (q = 19) from this part we get
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# for even theta
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# 2/19: 1
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# 4/19: 1
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# 6/19: 1
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# 8/19: 1
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# 11/19: -1
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# 13/19: -1
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# 15/19: -1
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# 17/19: -1
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#
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# for odd theta
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# 1/19: 1
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# 3/19: 1
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# 5/19: 1
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# 7/19: 1
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# 9/19: 1
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# 10/19: -1
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# 12/19: -1
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# 14/19: -1
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# 16/19: -1
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# 18/19: -1
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# print("lambda_even")
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# print("normal")
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for e in range(1, theta):
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if (theta + e) % 2 == 0:
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results.append((e * ksi, 1 * sgn(k_n)))
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results.append((1 - e * ksi, -1 * sgn(k_n)))
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# print("reversed")
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for e in range(theta + 1, k + 1):
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if (theta + e) % 2 == 0:
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results.append((e * ksi, -1 * sgn(k_n)))
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results.append((1 - e * ksi, 1 * sgn(k_n)))
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return SignatureFunction(values=results)
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@staticmethod
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def get_untwisted_signature_function(j):
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# return the signature function of the T_{2,2k+1} torus knot
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@ -277,6 +353,7 @@ class TorusCable(object):
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for a in range(k + 1, 2 * k + 1)])
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return SignatureFunction(values=w)
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def get_knot_descrption(self):
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description = ""
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for knot in self.knot_sum:
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@ -327,56 +404,6 @@ class TorusCable(object):
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get_summand_signture_function_docsting
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return get_summand_signture_function
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def get_blanchfield_for_pattern(self, k_n, theta):
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if theta == 0:
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sf = TorusCable.get_untwisted_signature_function(k_n)
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return sf.square_root() + sf.minus_square_root()
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results = []
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k = abs(k_n)
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ksi = 1/(2 * k + 1)
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# print("lambda_odd, i.e. (theta + e) % 2 != 0")
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for e in range(1, k + 1):
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if (theta + e) % 2 != 0:
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results.append((e * ksi, 1 * sgn(k_n)))
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results.append((1 - e * ksi, -1 * sgn(k_n)))
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# for example for k = 9 (q = 19) from this part we get
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# for even theta
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# 2/19: 1
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# 4/19: 1
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# 6/19: 1
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# 8/19: 1
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# 11/19: -1
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# 13/19: -1
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# 15/19: -1
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# 17/19: -1
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#
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# for odd theta
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# 1/19: 1
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# 3/19: 1
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# 5/19: 1
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# 7/19: 1
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# 9/19: 1
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# 10/19: -1
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# 12/19: -1
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# 14/19: -1
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# 16/19: -1
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# 18/19: -1
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# print("lambda_even")
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# print("normal")
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for e in range(1, theta):
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if (theta + e) % 2 == 0:
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results.append((e * ksi, 1 * sgn(k_n)))
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results.append((1 - e * ksi, -1 * sgn(k_n)))
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# print("reversed")
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for e in range(theta + 1, k + 1):
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if (theta + e) % 2 == 0:
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results.append((e * ksi, -1 * sgn(k_n)))
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results.append((1 - e * ksi, 1 * sgn(k_n)))
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return SignatureFunction(values=results)
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def get_number_of_combinations_of_theta(self):
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number_of_combinations = 1
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@ -23,6 +23,10 @@ class Config(object):
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self.knot_formula = "[[k[0], k[1], k[3]], [-k[1], -k[3]], \
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[k[2], k[3]], [-k[0], -k[2], -k[3]]]"
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# self.knot_formula = "[[k[3]], [-k[3]], \
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# [k[3]], [-k[3]] ]"
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# self.knot_formula = "[[k[3], k[2], k[0]], [-k[2], -k[0]], \
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# [k[1], k[0]], [-k[3], -k[1], -k[0]]]"
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@ -198,6 +202,7 @@ def search_for_large_signature_value(knot_formula=None, limit=None,
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# iterate over q-vector
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for c in combinations:
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q = [P.unrank(i + config.start_shift) for i in c]
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q[3] = 79
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if config.only_slice_candidates:
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if not (q[3] > 4 * q[2] and
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q[2] > 4 * q[1] and
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