before deleting fragments for evaluation of vectors with one and minus one combinationa
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@ -2,7 +2,7 @@
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import collections
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import numpy as np
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import itertools as it
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import re
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class TorusCable(object):
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def __init__(self, knot_formula, k_vector=None, q_vector=None):
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@ -347,25 +347,18 @@ class TorusCable(object):
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if (a_1^2 - a_2^2 + a_3^2 - a_4^2) % q_4:
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continue
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if all(a in [1, q_4 - 1] for a in vector):
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is_all_one = True
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else:
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is_all_one = False
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continue
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if self.__is_sigma_for_vector_class_big(vector):
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good_vectors.append(vector)
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# if is_all_one:
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# print("\nHURA" * 100)
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# print(self.knot_description)
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# self.__tmp_print_all_sigma_for_vector_class(vector)
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# pass
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else:
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if is_all_one:
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self.__tmp_get_max_sigma_for_vector_class(vector)
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bad_vectors.append(vector)
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#####################################################
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if len(bad_vectors) > 8:
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break
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####################################################
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large_sigma_for_all_combinations = False
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# large_sigma_for_all_combinations = False
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# if len(bad_vectors) > 8:
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# break
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print(len(bad_vectors))
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if a_1 and a_2 and a_3 and a_4:
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assert len(bad_vectors) % 8 == 0
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return good_vectors, bad_vectors
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# searching for sigma > 5 + #(v_i != 0)
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@ -399,9 +392,9 @@ class TorusCable(object):
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if print_results:
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print("good : bad:\t " + str(number_of_all_good_v) +\
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" : " + str(len(all_bad_vectors)))
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if len(all_bad_vectors) < 8:
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print()
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print(all_bad_vectors)
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# if len(all_bad_vectors) < 8:
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# print()
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# print(all_bad_vectors)
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return all_combinations_pass
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@ -429,7 +422,6 @@ 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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@ -482,7 +474,6 @@ class SignatureFunction(object):
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counter.subtract(self.cnt_signature_jumps)
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return SignatureFunction(counter=counter)
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# TBD short
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def __add__(self, other):
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counter = copy(self.cnt_signature_jumps)
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counter.update(other.cnt_signature_jumps)
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@ -6,17 +6,14 @@
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import os
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import sys
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import collections
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# import inspect
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import itertools as it
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import numpy as np
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import re
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# try:
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# from cable_signature import SignatureFunction, TorusCable
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# except ModuleNotFoundError:
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os.system('sage --preparse cable_signature.sage')
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os.system('mv cable_signature.sage.py cable_signature.py')
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from cable_signature import SignatureFunction, TorusCable
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#
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# if not os.path.isfile('cable_signature.py'):
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# os.system('sage --preparse cable_signature.sage')
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# os.system('mv cable_signature.sage.py cable_signature.py')
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# from cable_signature import SignatureFunction, TorusCable
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#
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class Config(object):
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def __init__(self):
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@ -45,7 +42,7 @@ class Config(object):
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self.verbose = False
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self.print_results = True
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# self.print_results = False
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self.print_results = False
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self.print_calculations_for_large_sigma = True
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self.print_calculations_for_large_sigma = False
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@ -84,29 +81,36 @@ class Config(object):
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# a_3 == 0, a_4 == 0, a_1, a_2 != 0
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it.product(range(1, q), range(1, 2), range(1), range(1)),
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]
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# list_of_ranges = [
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# # all characters a_1, a_2, a_3, a_4 != 0
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# # 1, 1, 1, 1
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# it.product(range(1, 2), range(1, 2), range(1, 2), range(1, 2)),
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#
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# # -1, -1, -1, 1
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# it.product(range(q - 1, q), range(q - 1, q), range(q - 1, q), range(1, 2)),
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#
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# # 1, -1, -1, 1
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# it.product(range(1, 2), range(q - 1, q), range(q - 1, q), range(1, 2)),
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# # -1 , -1, 1, 1
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# it.product(range(q - 1, q), range(q - 1, q), range(1, 2), range(1, 2)),
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# # -1, 1, -1, 1
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# it.product(range(q - 1, q), range(1, 2), range(q - 1, q), range(1, 2)),
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#
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# # 1, 1, -1, 1
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# it.product(range(1, 2), range(1, 2), range(q - 1, q), range(1, 2)),
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# # 1, -1, 1, 1
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# it.product(range(1, 2), range(q - 1, q), range(1, 2), range(1, 2)),
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# # -1, 1, 1, 1
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# it.product(range(q - 1, q), range(1, 2), range(1, 2), range(1, 2)),
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#
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# ]
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list_of_ranges =
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[
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# all characters a_1, a_2, a_3, a_4 != 0
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# 1, 1, 1, 1
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it.product(range(1, 2), range(1, 2), range(1, 2), range(1, 2)),
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# -1, -1, -1, 1
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it.product(range(q - 1, q), range(q - 1, q), range(q - 1, q), \
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range(1, 2)),
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# 1, -1, -1, 1
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it.product(range(1, 2), range(q - 1, q), range(q - 1, q), \
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range(1, 2)),
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# -1 , -1, 1, 1
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it.product(range(q - 1, q), range(q - 1, q), range(1, 2), \
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range(1, 2)),
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# -1, 1, -1, 1
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it.product(range(q - 1, q), range(1, 2), range(q - 1, q), \
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range(1, 2)),
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# 1, 1, -1, 1
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it.product(range(1, 2), range(1, 2), range(q - 1, q), \
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range(1, 2)),
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# 1, -1, 1, 1
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it.product(range(1, 2), range(q - 1, q), range(1, 2), \
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range(1, 2)),
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# -1, 1, 1, 1
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it.product(range(q - 1, q), range(1, 2), range(1, 2), \
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range(1, 2)),
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]
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return list_of_ranges
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@ -121,8 +125,6 @@ def main(arg):
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knots_with_large_sigma = search_for_large_signature_value(limit=limit)
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# search_for_null_signature_value(limit=limit)
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# searching for sigma > 5 + #(v_i != 0) over given knot schema
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def __search_for_large_signature_value(knot_formula, limit,
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verbose, print_results):
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@ -140,6 +142,7 @@ def __search_for_large_signature_value(knot_formula, limit,
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q[3] = P.next(q[2] * 4 + q[3])
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cable = TorusCable(knot_formula=knot_formula, q_vector=q)
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list_of_ranges = config.get_list_of_ranges(cable.q_vector[-1])
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print(cable.knot_description)
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if cable.eval_cable_for_large_sigma(list_of_ranges, verbose=verbose,
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print_results=print_results):
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good_knots.append(cable)
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@ -173,6 +176,7 @@ def search_for_large_signature_value(knot_formula=None, limit=None,
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k = [(P.unrank(i + config.start_shift) - 1)/2 for i in c]
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cable = TorusCable(knot_formula=knot_formula, k_vector=k)
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list_of_ranges = config.get_list_of_ranges(cable.q_vector[-1])
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print(cable.knot_description)
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if cable.eval_cable_for_large_sigma(list_of_ranges, verbose=verbose,
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print_results=print_results):
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good_knots.append(cable)
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